list0 = complex1.nthRoot(2991);\\n Complex complex6 = complex0.pow((-1509.0));\\n double double1 = complex1.getReal();\\n boolean boolean0 = complex1.isInfinite();\\n Complex complex7 = complex4.multiply(complex2);\\n Complex complex8 = complex2.negate();\\n Complex complex9 = complex2.multiply(2991);\\n Complex complex10 = complex7.exp();\\n Complex complex11 = complex1.tan();\\n Complex complex12 = complex11.tanh();\\n Complex complex13 = complex11.pow((-1734.825));\\n Complex complex14 = complex7.sin();\\n Complex complex15 = complex14.sqrt1z();\\n Complex complex16 = complex2.conjugate();\\n boolean boolean1 = complex14.isInfinite();\\n int int0 = complex6.hashCode();\\n Complex complex17 = complex11.sqrt1z();\\n Complex complex18 = complex14.sin();\\n Complex complex19 = complex11.acos();\\n Complex complex20 = complex0.subtract(338.3140646369);\\n Complex complex21 = complex5.cosh();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c4fdfb915cb38a5427eabdb239cc828\",\n \"score\": \"0.7176974\",\n \"text\": \"@Test\\n public void test19() throws Throwable {\\n Complex complex0 = Complex.valueOf((-1.3940903373095247E-8), (-2022.4157771));\\n Complex complex1 = complex0.conjugate();\\n Complex complex2 = complex1.asin();\\n Complex complex3 = complex0.multiply(107);\\n Complex complex4 = complex1.asin();\\n Complex complex5 = Complex.valueOf((-466.96211), Double.NaN);\\n Complex complex6 = complex1.exp();\\n int int0 = complex0.hashCode();\\n Complex complex7 = complex5.cos();\\n Complex complex8 = complex1.sin();\\n Complex complex9 = complex0.atan();\\n Complex complex10 = Complex.valueOf(Double.NaN, (-1.3940903373095247E-8));\\n Complex complex11 = complex10.add((-1.0));\\n Complex complex12 = complex1.add(complex10);\\n Complex complex13 = complex0.log();\\n Complex complex14 = Complex.valueOf(0.0, (-466.96211));\\n Complex complex15 = complex10.sinh();\\n Complex complex16 = complex14.add(complex4);\\n Complex complex17 = complex14.conjugate();\\n double double0 = complex14.abs();\\n String string0 = complex14.toString();\\n Complex complex18 = complex14.reciprocal();\\n Complex complex19 = complex14.tanh();\\n Complex complex20 = complex11.multiply(complex14);\\n Complex complex21 = Complex.valueOf(Double.NaN);\\n Complex complex22 = complex5.atan();\\n Complex complex23 = complex15.cos();\\n Complex complex24 = complex23.conjugate();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e452c483681f3f5dbc49caf35c4d953\",\n \"score\": \"0.7146304\",\n \"text\": \"@Test\\n public void test13() throws Throwable {\\n Complex complex0 = Complex.valueOf(Double.POSITIVE_INFINITY);\\n Complex complex1 = complex0.cosh();\\n Complex complex2 = complex0.pow(Double.POSITIVE_INFINITY);\\n Complex complex3 = complex0.tanh();\\n Complex complex4 = complex3.pow(Double.POSITIVE_INFINITY);\\n Complex complex5 = complex0.createComplex(Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY);\\n double double0 = complex3.abs();\\n String string0 = complex0.toString();\\n Complex complex6 = complex5.sqrt();\\n Complex complex7 = complex4.add((-1.0));\\n Complex complex8 = complex5.acos();\\n int int0 = complex0.hashCode();\\n Complex complex9 = complex5.pow(complex8);\\n Complex complex10 = new Complex(Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY);\\n Complex complex11 = complex5.reciprocal();\\n Complex complex12 = complex0.subtract((-1178.277));\\n Complex complex13 = complex0.subtract(complex7);\\n ComplexField complexField0 = complex8.getField();\\n Complex complex14 = complex0.multiply(1.0);\\n Complex complex15 = complex10.createComplex(Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY);\\n Complex complex16 = complex15.sinh();\\n Complex complex17 = complex2.asin();\\n Complex complex18 = complex10.divide(complex3);\\n Complex complex19 = complex16.tan();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1188eff0ee57448647342bb90447cdc2\",\n \"score\": \"0.7125847\",\n \"text\": \"@Test\\n public void test01() throws Throwable {\\n Complex complex0 = Complex.valueOf(182385.5001713978, 1475.33888923369);\\n Complex complex1 = complex0.add(182385.5001713978);\\n Complex complex2 = complex0.add(complex1);\\n Complex complex3 = complex2.acos();\\n Complex complex4 = complex2.add(3.047835447205216E-4);\\n Complex complex5 = complex1.cosh();\\n Complex complex6 = Complex.valueOf(182385.5001713978, 182385.5001713978);\\n Complex complex7 = complex6.cos();\\n Complex complex8 = complex2.tan();\\n Complex complex9 = complex6.subtract(3.047835447205216E-4);\\n Complex complex10 = complex8.tanh();\\n Complex complex11 = (Complex)complex6.readResolve();\\n String string0 = complex1.toString();\\n Complex complex12 = complex1.multiply(997.732915);\\n Complex complex13 = complex10.sin();\\n Complex complex14 = complex13.tan();\\n Complex complex15 = complex1.pow(Double.NaN);\\n Complex complex16 = complex12.log();\\n Complex complex17 = complex13.createComplex((-7.34071933723896E-8), 182385.5001713978);\\n Complex complex18 = complex12.sqrt1z();\\n Complex complex19 = complex13.sin();\\n Complex complex20 = complex1.divide((-572.2085));\\n Complex complex21 = complex12.divide(complex0);\\n Complex complex22 = complex4.cosh();\\n Complex complex23 = complex3.divide(854.54073);\\n Complex complex24 = complex5.negate();\\n double double0 = complex8.abs();\\n Complex complex25 = complex16.sqrt();\\n Complex complex26 = complex17.tan();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"408c8db69f6362ea28cd0a798c2ac1d1\",\n \"score\": \"0.71244144\",\n \"text\": \"@Test\\n public void test11() throws Throwable {\\n Complex complex0 = new Complex((-0.1698744442884997));\\n Complex complex1 = complex0.pow(1596.166767182436);\\n String string0 = complex1.toString();\\n Complex complex2 = complex0.subtract(1596.166767182436);\\n Complex complex3 = complex0.log();\\n double double0 = complex0.getArgument();\\n String string1 = complex0.toString();\\n String string2 = complex0.toString();\\n Complex complex4 = complex2.sin();\\n String string3 = complex0.toString();\\n Complex complex5 = complex0.multiply(0.48610860109329224);\\n Complex complex6 = complex0.pow(complex2);\\n Complex complex7 = complex0.pow((-3808.262409663826));\\n Complex complex8 = complex0.multiply((-0.1698744442884997));\\n Complex complex9 = complex2.multiply(complex7);\\n Complex complex10 = complex0.sqrt1z();\\n Complex complex11 = complex0.cosh();\\n double double1 = complex7.abs();\\n Complex complex12 = complex7.log();\\n double double2 = complex11.getReal();\\n Complex complex13 = complex10.multiply(complex6);\\n String string4 = complex2.toString();\\n Complex complex14 = complex7.divide(complex1);\\n double double3 = complex11.getArgument();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1653b1e007c30866335794cdc9fc4844\",\n \"score\": \"0.7082024\",\n \"text\": \"@Test\\n public void test15() throws Throwable {\\n Complex complex0 = new Complex(Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY);\\n double double0 = complex0.getReal();\\n List<Complex> list0 = complex0.nthRoot(815);\\n Complex complex1 = complex0.multiply((-1382));\\n double double1 = complex0.getReal();\\n Complex complex2 = Complex.valueOf((-1686.3));\\n Complex complex3 = Complex.valueOf(Double.POSITIVE_INFINITY);\\n Complex complex4 = complex3.multiply((double) 815);\\n Complex complex5 = complex1.sinh();\\n Complex complex6 = Complex.valueOf((-1686.3));\\n Complex complex7 = complex5.multiply((-36));\\n Complex complex8 = complex0.sqrt();\\n int int0 = complex3.hashCode();\\n String string0 = complex1.toString();\\n Complex complex9 = complex3.cos();\\n Complex complex10 = complex1.exp();\\n Complex complex11 = complex3.multiply(0);\\n Complex complex12 = complex5.multiply(682);\\n Complex complex13 = complex4.cos();\\n Complex complex14 = complex4.sqrt1z();\\n String string1 = complex4.toString();\\n Complex complex15 = complex13.multiply((-1041.0));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8210d1d29844d5b03d22355e2782f1d6\",\n \"score\": \"0.7006381\",\n \"text\": \"@Test\\n public void test47() throws Throwable {\\n Complex complex0 = Complex.valueOf((-1278.605161237787), (-1278.605161237787));\\n Complex complex1 = complex0.conjugate();\\n Complex complex2 = complex0.multiply((-1278.605161237787));\\n Complex complex3 = complex0.conjugate();\\n Complex complex4 = complex1.multiply((-1278.605161237787));\\n Complex complex5 = complex0.atan();\\n Complex complex6 = complex0.multiply(2354);\\n ComplexField complexField0 = complex3.getField();\\n Complex complex7 = complex6.divide(1.6845262050628662);\\n Complex complex8 = complex0.cosh();\\n Complex complex9 = complex1.sqrt();\\n double double0 = complex6.getArgument();\\n Complex complex10 = complex6.tanh();\\n Complex complex11 = complex0.subtract(complex1);\\n Complex complex12 = complex6.pow(1.6845262050628662);\\n Complex complex13 = complex0.sin();\\n boolean boolean0 = complex0.equals(complex0);\\n Complex complex14 = complex0.negate();\\n ComplexField complexField1 = complex1.getField();\\n Complex complex15 = complex3.cos();\\n Complex complex16 = complex10.log();\\n Complex complex17 = complex6.divide(complex4);\\n Complex complex18 = complex13.multiply(1.6845262050628662);\\n Complex complex19 = complex16.cos();\\n Complex complex20 = complex13.multiply(complex9);\\n ComplexField complexField2 = complex13.getField();\\n Complex complex21 = complex15.pow((-3899.9088449170345));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aebbcdf918f312eb3b99505faa9d7f73\",\n \"score\": \"0.69923025\",\n \"text\": \"@Test\\n public void test36() throws Throwable {\\n Complex complex0 = Complex.valueOf((-349.1), (-349.1));\\n Complex complex1 = complex0.sqrt1z();\\n double double0 = complex0.abs();\\n Complex complex2 = complex0.cosh();\\n Complex complex3 = complex2.pow((-349.1));\\n Complex complex4 = complex3.tan();\\n Complex complex5 = complex0.sqrt();\\n Complex complex6 = complex2.sqrt1z();\\n Complex complex7 = complex5.subtract(0.0);\\n Complex complex8 = complex0.sqrt();\\n Complex complex9 = complex5.pow(complex3);\\n Complex complex10 = complex0.add(complex2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"798be991c600dd99c20228370096352c\",\n \"score\": \"0.6982643\",\n \"text\": \"@Test\\n public void test59() throws Throwable {\\n Complex complex0 = Complex.valueOf(0.0);\\n ComplexField complexField0 = complex0.getField();\\n Complex complex1 = complex0.multiply(0.0);\\n Complex complex2 = complex1.createComplex(0.0, 0.0);\\n Complex complex3 = complex1.tan();\\n boolean boolean0 = complex1.isInfinite();\\n Complex complex4 = complex3.sinh();\\n Complex complex5 = complex4.multiply(complex1);\\n double double0 = complex3.getArgument();\\n Complex complex6 = complex1.pow(complex4);\\n Complex complex7 = complex2.exp();\\n Complex complex8 = complex4.divide(complex2);\\n Complex complex9 = complex0.add((-1360.89876737));\\n Complex complex10 = Complex.valueOf((-1750.782181167868));\\n Complex complex11 = complex0.add(0.0);\\n Complex complex12 = complex2.divide(complex1);\\n Complex complex13 = complex11.reciprocal();\\n Complex complex14 = complex0.sqrt1z();\\n Complex complex15 = complex6.subtract(0.0);\\n Complex complex16 = complex3.sqrt();\\n Complex complex17 = Complex.valueOf(0.0, 0.0);\\n Complex complex18 = complex2.divide((-1360.89876737));\\n double double1 = complex1.getArgument();\\n Complex complex19 = complex12.negate();\\n int int0 = complex9.hashCode();\\n double double2 = complex9.getArgument();\\n Complex complex20 = complex4.subtract(complex1);\\n Complex complex21 = complex6.tanh();\\n Complex complex22 = complex11.conjugate();\\n Complex complex23 = complex6.cosh();\\n List<Complex> list0 = complex1.nthRoot(473);\\n Complex complex24 = complex3.divide(complex7);\\n Complex complex25 = complex11.conjugate();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac36b17a1825cf3f8523bf0cea5df912\",\n \"score\": \"0.6964819\",\n \"text\": \"@Test\\n public void test53() throws Throwable {\\n Complex complex0 = Complex.valueOf(2611.8970143978067, 2611.8970143978067);\\n Complex complex1 = complex0.asin();\\n Complex complex2 = complex1.exp();\\n double double0 = complex1.getArgument();\\n Complex complex3 = complex0.add((-1147.1247));\\n Complex complex4 = complex0.cos();\\n Complex complex5 = complex1.pow(complex0);\\n Complex complex6 = complex1.multiply(complex0);\\n Complex complex7 = complex0.multiply(2611.8970143978067);\\n Complex complex8 = complex6.multiply(1.7177785285061278E-7);\\n Complex complex9 = complex7.reciprocal();\\n Complex complex10 = complex1.multiply(complex7);\\n Complex complex11 = complex5.reciprocal();\\n Complex complex12 = complex4.tanh();\\n Complex complex13 = complex11.add(0.15023678541183472);\\n String string0 = complex13.toString();\\n Complex complex14 = complex4.multiply(1464);\\n Complex complex15 = Complex.valueOf((-16.40554208392));\\n Complex complex16 = complex13.tanh();\\n Complex complex17 = complex4.tanh();\\n Complex complex18 = complex11.divide(complex17);\\n Complex complex19 = complex11.acos();\\n Complex complex20 = complex1.subtract(0.15023678541183472);\\n Complex complex21 = complex13.subtract((-1852.6651968419262));\\n Complex complex22 = complex4.reciprocal();\\n double double1 = complex13.getImaginary();\\n Complex complex23 = complex13.log();\\n Complex complex24 = complex13.divide(1315.696130909);\\n boolean boolean0 = complex6.isInfinite();\\n double double2 = complex22.getImaginary();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dadf72bc406a8ee81d1ce2b3cbb81133\",\n \"score\": \"0.69537866\",\n \"text\": \"@Test\\n public void test46() throws Throwable {\\n Complex complex0 = Complex.valueOf((-3.3835280846270374E-8), (-3.3835280846270374E-8));\\n Complex complex1 = Complex.valueOf((-2176.239128587068), (-3.3835280846270374E-8));\\n Complex complex2 = complex1.multiply((-3.3835280846270374E-8));\\n Complex complex3 = complex1.acos();\\n boolean boolean0 = complex1.isNaN();\\n Complex complex4 = complex1.sqrt();\\n Complex complex5 = complex0.conjugate();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b42df122ab8d5a34f31a26181a9f4c08\",\n \"score\": \"0.6949359\",\n \"text\": \"@Test\\n public void test49() throws Throwable {\\n Complex complex0 = Complex.valueOf((-2.8774683395350933E7), (-20.0));\\n Complex complex1 = complex0.sqrt1z();\\n Complex complex2 = complex0.createComplex((-2.8774683395350933E7), (-958.50343));\\n Complex complex3 = complex0.acos();\\n Complex complex4 = complex0.conjugate();\\n Complex complex5 = complex0.asin();\\n Complex complex6 = complex3.tanh();\\n Complex complex7 = complex3.tanh();\\n Complex complex8 = complex0.multiply(complex3);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4cb329d723faaa4c003e0539cc587a46\",\n \"score\": \"0.6948192\",\n \"text\": \"@Test\\n public void test03() throws Throwable {\\n Complex complex0 = new Complex(0.0);\\n String string0 = complex0.toString();\\n Complex complex1 = complex0.sinh();\\n Complex complex2 = (Complex)complex0.readResolve();\\n Complex complex3 = complex0.divide(complex0);\\n Complex complex4 = Complex.valueOf(550.6);\\n Complex complex5 = complex0.exp();\\n Complex complex6 = complex0.atan();\\n Complex complex7 = complex6.exp();\\n Complex complex8 = complex1.multiply(complex0);\\n Complex complex9 = complex0.cos();\\n Complex complex10 = complex5.subtract(complex7);\\n Complex complex11 = complex5.conjugate();\\n Complex complex12 = (Complex)complex0.readResolve();\\n double double0 = complex6.abs();\\n Complex complex13 = Complex.valueOf(0.0);\\n Complex complex14 = complex6.add(complex1);\\n Complex complex15 = complex0.log();\\n Complex complex16 = complex6.conjugate();\\n double double1 = complex5.getReal();\\n Complex complex17 = complex6.log();\\n Complex complex18 = complex16.tanh();\\n Complex complex19 = complex0.negate();\\n double double2 = complex5.getReal();\\n Complex complex20 = complex0.sin();\\n Complex complex21 = complex16.tanh();\\n Complex complex22 = complex1.subtract(complex14);\\n Complex complex23 = complex19.sqrt();\\n Complex complex24 = complex15.sqrt1z();\\n boolean boolean0 = complex22.equals(complex3);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"368494cce23ccc113f4c2e195a62f97d\",\n \"score\": \"0.69302815\",\n \"text\": \"@Test\\n public void test26() throws Throwable {\\n Complex complex0 = new Complex(2658.74597276);\\n Complex complex1 = new Complex(Double.NaN);\\n Complex complex2 = complex1.sqrt1z();\\n Complex complex3 = complex0.add(complex1);\\n Complex complex4 = complex2.sqrt1z();\\n String string0 = complex4.toString();\\n Complex complex5 = complex4.cos();\\n Complex complex6 = complex4.sqrt();\\n Complex complex7 = complex3.sqrt();\\n Complex complex8 = complex2.exp();\\n Complex complex9 = complex6.divide(complex2);\\n Complex complex10 = complex4.sqrt();\\n Complex complex11 = new Complex(2658.74597276, 2658.74597276);\\n Complex complex12 = complex4.multiply(0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc1486bd0c3489876a5da56be7b5a178\",\n \"score\": \"0.69030243\",\n \"text\": \"@Test\\n public void test58() throws Throwable {\\n Complex complex0 = Complex.valueOf(0.0);\\n ComplexField complexField0 = complex0.getField();\\n Complex complex1 = complex0.multiply(0.0);\\n Complex complex2 = complex1.createComplex(0.0, 0.0);\\n Complex complex3 = complex1.tan();\\n boolean boolean0 = complex1.isInfinite();\\n Complex complex4 = complex3.sinh();\\n Complex complex5 = complex4.multiply(complex1);\\n double double0 = complex3.getArgument();\\n Complex complex6 = complex1.pow(complex4);\\n Complex complex7 = complex2.exp();\\n Complex complex8 = complex4.divide(complex2);\\n Complex complex9 = complex0.add((-1361.0));\\n Complex complex10 = Complex.valueOf((-1750.538026));\\n Complex complex11 = complex0.add(0.0);\\n Complex complex12 = complex2.divide(complex1);\\n Complex complex13 = complex11.reciprocal();\\n Complex complex14 = complex0.sqrt1z();\\n Complex complex15 = complex3.sqrt();\\n Complex complex16 = Complex.valueOf(0.0, 0.0);\\n Complex complex17 = complex2.divide((-1361.0));\\n double double1 = complex1.getArgument();\\n Complex complex18 = complex12.negate();\\n double double2 = complex9.getArgument();\\n Complex complex19 = complex6.tanh();\\n Complex complex20 = complex11.conjugate();\\n Complex complex21 = complex6.cosh();\\n List<Complex> list0 = complex1.nthRoot(473);\\n Complex complex22 = complex3.divide(complex7);\\n Complex complex23 = complex11.conjugate();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9694a53be68b8f6a84d0c568445ebcc8\",\n \"score\": \"0.68938696\",\n \"text\": \"@Test\\n public void test12() throws Throwable {\\n Complex complex0 = Complex.valueOf(1890.386);\\n Complex complex1 = Complex.valueOf((-0.9243702748813959));\\n Complex complex2 = complex1.log();\\n Complex complex3 = complex2.sqrt1z();\\n Complex complex4 = complex1.sqrt1z();\\n Complex complex5 = complex2.pow(complex0);\\n Complex complex6 = Complex.valueOf((-0.9243702748813959), 0.0);\\n Complex complex7 = complex2.subtract(complex0);\\n Complex complex8 = complex1.add(complex2);\\n Complex complex9 = complex1.subtract(1890.386);\\n Complex complex10 = Complex.valueOf(1890.386, 1890.386);\\n Complex complex11 = complex10.asin();\\n Complex complex12 = complex1.tan();\\n Complex complex13 = complex1.createComplex((-0.9243702748813959), (-1606.801775359332));\\n List<Complex> list0 = complex1.nthRoot(609);\\n Complex complex14 = complex1.log();\\n Complex complex15 = Complex.valueOf(0.0);\\n Complex complex16 = complex2.acos();\\n Complex complex17 = (Complex)complex10.readResolve();\\n Complex complex18 = complex7.negate();\\n Complex complex19 = complex10.multiply(1);\\n Complex complex20 = complex7.cos();\\n Complex complex21 = complex10.atan();\\n Complex complex22 = complex5.multiply((-2171.739128756744));\\n Complex complex23 = complex5.atan();\\n Complex complex24 = complex5.acos();\\n Complex complex25 = complex24.sqrt();\\n Complex complex26 = complex24.conjugate();\\n Complex complex27 = complex24.multiply(1890.386);\\n Complex complex28 = complex8.add(complex0);\\n Complex complex29 = complex6.tanh();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"934efc26cac760b8f1e3cb55c32df236\",\n \"score\": \"0.6819911\",\n \"text\": \"@Test\\n public void test52() throws Throwable {\\n Complex complex0 = new Complex(0.0);\\n Complex complex1 = new Complex(0.6369074583053589);\\n Complex complex2 = complex0.createComplex(0.6369074583053589, 0.6202404499053955);\\n Complex complex3 = complex1.divide(complex0);\\n double double0 = complex1.getArgument();\\n Complex complex4 = complex0.cos();\\n Complex complex5 = complex3.asin();\\n Complex complex6 = complex3.subtract(complex0);\\n Complex complex7 = complex1.subtract(complex3);\\n Complex complex8 = complex1.multiply(complex4);\\n Complex complex9 = complex4.sinh();\\n Complex complex10 = complex9.divide(0.6202404499053955);\\n boolean boolean0 = complex9.equals((Object) null);\\n Complex complex11 = complex0.cosh();\\n Complex complex12 = complex1.pow(complex0);\\n ComplexField complexField0 = complex3.getField();\\n Complex complex13 = complex9.cosh();\\n Complex complex14 = complex12.multiply(complex13);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"04181bf594811d94599cefb9dad72eb4\",\n \"score\": \"0.6819144\",\n \"text\": \"@Test\\n public void test37() throws Throwable {\\n Complex complex0 = new Complex((-3155.82262676689), 6.283185307179586);\\n double double0 = complex0.abs();\\n String string0 = complex0.toString();\\n ComplexField complexField0 = complex0.getField();\\n Complex complex1 = complex0.sinh();\\n Complex complex2 = complex0.divide((-3155.82262676689));\\n Complex complex3 = complex0.acos();\\n Complex complex4 = complex0.negate();\\n Complex complex5 = complex4.add(1930.3);\\n Complex complex6 = complex4.add(complex0);\\n Complex complex7 = complex4.tan();\\n Complex complex8 = complex4.atan();\\n Complex complex9 = complex4.sin();\\n int int0 = complex8.hashCode();\\n Complex complex10 = complex4.multiply(0);\\n String string1 = complex1.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"47bc23b40403225a26c33f4a184d7665\",\n \"score\": \"0.68186516\",\n \"text\": \"@Test\\n public void test28() throws Throwable {\\n Complex complex0 = new Complex(0.0);\\n Complex complex1 = complex0.reciprocal();\\n Complex complex2 = complex1.sinh();\\n boolean boolean0 = complex0.isNaN();\\n Complex complex3 = complex0.conjugate();\\n Complex complex4 = complex0.createComplex(412.26607534991, 1199);\\n Complex complex5 = complex1.multiply(1199);\\n Complex complex6 = complex1.subtract(0.0);\\n boolean boolean1 = complex0.isNaN();\\n String string0 = complex1.toString();\\n double double0 = complex2.getImaginary();\\n Complex complex7 = complex6.multiply(1188.58);\\n double double1 = complex0.abs();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5fc18fb0b74f9f153eee0e86c290e036\",\n \"score\": \"0.6780185\",\n \"text\": \"@Test\\n public void test18() throws Throwable {\\n Complex complex0 = new Complex(5400.4951);\\n Complex complex1 = Complex.valueOf(5400.4951, 2.0);\\n Complex complex2 = complex0.log();\\n Complex complex3 = complex2.sin();\\n Complex complex4 = complex3.pow(2098.1963607286493);\\n Complex complex5 = complex0.divide(complex2);\\n Complex complex6 = complex3.tan();\\n Complex complex7 = complex5.pow(complex1);\\n double double0 = complex5.getArgument();\\n Complex complex8 = complex4.tanh();\\n Complex complex9 = complex5.subtract(2.0);\\n Complex complex10 = complex3.sqrt();\\n Complex complex11 = complex0.pow(2098.1963607286493);\\n Complex complex12 = complex2.subtract(2098.1963607286493);\\n Complex complex13 = complex4.exp();\\n Complex complex14 = complex4.acos();\\n Complex complex15 = complex9.acos();\\n List<Complex> list0 = complex4.nthRoot(315);\\n Complex complex16 = complex4.asin();\\n Complex complex17 = complex5.divide(2.0);\\n Complex complex18 = complex3.negate();\\n Complex complex19 = complex9.divide(complex7);\\n Complex complex20 = complex18.cosh();\\n Complex complex21 = complex20.pow(complex3);\\n Complex complex22 = complex21.acos();\\n ComplexField complexField0 = complex7.getField();\\n Complex complex23 = complex7.divide(complex10);\\n Complex complex24 = new Complex(1.021996184153141E185);\\n Complex complex25 = new Complex(0.0, 2.0);\\n boolean boolean0 = complex23.isInfinite();\\n Complex complex26 = new Complex(0.0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2bc47a697ddcbc54ba5f8ef8f2fd8521\",\n \"score\": \"0.6737992\",\n \"text\": \"@Test\\n public void test41() throws Throwable {\\n Complex complex0 = Complex.valueOf((-1.0));\\n Complex complex1 = complex0.sqrt1z();\\n Complex complex2 = complex0.sqrt();\\n Complex complex3 = complex1.multiply((-1.0));\\n Complex complex4 = complex0.cosh();\\n Complex complex5 = complex4.sqrt();\\n Complex complex6 = complex4.divide(complex1);\\n Complex complex7 = complex5.createComplex(Double.POSITIVE_INFINITY, 1568.0849472032176);\\n Complex complex8 = complex5.acos();\\n Complex complex9 = complex1.divide(complex2);\\n boolean boolean0 = complex6.isInfinite();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee1bddb4a3509493bd5f2090c9441a54\",\n \"score\": \"0.6697749\",\n \"text\": \"@Test\\n public void test06() throws Throwable {\\n Complex complex0 = Complex.valueOf(1601.84046);\\n Complex complex1 = complex0.sqrt();\\n Complex complex2 = new Complex(Double.POSITIVE_INFINITY, 1601.84046);\\n Complex complex3 = complex2.subtract(complex1);\\n Complex complex4 = complex2.sqrt1z();\\n Complex complex5 = complex2.acos();\\n Complex complex6 = complex5.sin();\\n Complex complex7 = complex1.cosh();\\n Complex complex8 = complex5.cos();\\n Complex complex9 = complex5.sin();\\n Complex complex10 = complex5.tanh();\\n Complex complex11 = complex10.add(complex6);\\n Complex complex12 = complex0.log();\\n Complex complex13 = complex2.multiply(1);\\n Complex complex14 = complex13.add(0.0);\\n Complex complex15 = complex10.reciprocal();\\n Complex complex16 = complex5.negate();\\n List<Complex> list0 = complex13.nthRoot(120);\\n Complex complex17 = complex1.multiply(Double.POSITIVE_INFINITY);\\n boolean boolean0 = complex10.equals((Object) null);\\n Complex complex18 = complex12.negate();\\n Complex complex19 = complex2.acos();\\n Complex complex20 = complex1.createComplex((-1.0), 1);\\n Object object0 = new Object();\\n Complex complex21 = complex20.sin();\\n boolean boolean1 = complex1.equals(object0);\\n Complex complex22 = complex16.log();\\n Complex complex23 = complex20.sqrt1z();\\n Complex complex24 = complex18.negate();\\n Complex complex25 = (Complex)complex1.readResolve();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d71c838b3f05af02e4ad8f3edf8a36e1\",\n \"score\": \"0.6651133\",\n \"text\": \"@Test\\n public void test14() throws Throwable {\\n Complex complex0 = new Complex(0.18004029989242554);\\n Complex complex1 = complex0.conjugate();\\n ComplexField complexField0 = complex0.getField();\\n Complex complex2 = complex1.add(1715.75543905547);\\n Complex complex3 = complex1.subtract((-4.4156343103298585E-9));\\n double double0 = complex1.getArgument();\\n Complex complex4 = complex2.sinh();\\n Complex complex5 = complex4.pow(1715.75543905547);\\n Complex complex6 = complex4.divide(180.974448550063);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f5b545217e8402c51470cd69b08ea52\",\n \"score\": \"0.66247255\",\n \"text\": \"@Test\\n public void test56() throws Throwable {\\n Complex complex0 = new Complex(928.85);\\n Complex complex1 = complex0.sqrt();\\n double double0 = complex0.getReal();\\n Complex complex2 = complex1.multiply(1219);\\n Complex complex3 = complex1.divide(complex0);\\n Complex complex4 = complex1.acos();\\n Complex complex5 = complex1.cos();\\n Complex complex6 = complex1.asin();\\n Complex complex7 = new Complex(928.85, 0.0);\\n Complex complex8 = complex3.subtract(complex5);\\n Complex complex9 = complex1.tan();\\n Complex complex10 = complex0.cosh();\\n Complex complex11 = complex5.asin();\\n Complex complex12 = complex3.subtract(complex7);\\n Complex complex13 = (Complex)complex11.readResolve();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c9cdb6e6ba69e531b270d5b948e90610\",\n \"score\": \"0.6621016\",\n \"text\": \"@Test\\n public void test20() throws Throwable {\\n Complex complex0 = Complex.valueOf(0.0, Double.NaN);\\n Complex complex1 = complex0.subtract((-1.4015110811648513E195));\\n double double0 = complex0.getArgument();\\n Complex complex2 = complex1.multiply(1961);\\n double double1 = complex0.abs();\\n boolean boolean0 = complex1.isInfinite();\\n Complex complex3 = complex1.reciprocal();\\n double double2 = complex1.getReal();\\n Complex complex4 = complex0.tanh();\\n Complex complex5 = complex0.reciprocal();\\n Complex complex6 = complex3.tan();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4431467dac4b49467e07b3c29e3a83f3\",\n \"score\": \"0.6571689\",\n \"text\": \"@Test\\n public void test22() throws Throwable {\\n Complex complex0 = new Complex(0.0, (-921.2827065483435));\\n Complex complex1 = complex0.reciprocal();\\n Complex complex2 = complex0.negate();\\n int int0 = complex0.hashCode();\\n Complex complex3 = complex2.subtract(0.0);\\n Complex complex4 = complex0.sqrt();\\n List<Complex> list0 = complex0.nthRoot(878);\\n String string0 = complex2.toString();\\n double double0 = complex1.getImaginary();\\n Complex complex5 = Complex.valueOf(1368.18441101);\\n Complex complex6 = complex3.acos();\\n Complex complex7 = (Complex)complex1.readResolve();\\n Complex complex8 = complex4.conjugate();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4eccfd78ca7b9b46942e7dd50d502138\",\n \"score\": \"0.65676093\",\n \"text\": \"@Test\\n public void test10() throws Throwable {\\n Complex complex0 = Complex.valueOf(20.0);\\n Complex complex1 = new Complex(Double.POSITIVE_INFINITY, 0.0);\\n Complex complex2 = complex1.tan();\\n Complex complex3 = complex1.reciprocal();\\n Complex complex4 = complex1.multiply(20.0);\\n boolean boolean0 = complex2.isInfinite();\\n Complex complex5 = complex3.cosh();\\n Complex complex6 = complex4.subtract(complex2);\\n Complex complex7 = new Complex((-1386.034));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2af5e3399ae4850053e64e5051a89e3\",\n \"score\": \"0.6541279\",\n \"text\": \"@Test\\n public void test43() throws Throwable {\\n Complex complex0 = Complex.valueOf((-392.92399753024), (-392.92399753024));\\n Complex complex1 = complex0.cos();\\n Complex complex2 = complex1.negate();\\n Complex complex3 = complex1.sin();\\n Complex complex4 = complex0.add(complex1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c90bd735a6417f91983397674b91a935\",\n \"score\": \"0.65269476\",\n \"text\": \"@Test\\n public void test09() throws Throwable {\\n Complex complex0 = Complex.valueOf((-89.628));\\n Complex complex1 = complex0.subtract(0.0);\\n Complex complex2 = complex0.multiply(0);\\n Complex complex3 = (Complex)complex2.readResolve();\\n Complex complex4 = complex0.sqrt();\\n String string0 = complex2.toString();\\n Complex complex5 = complex2.add(complex0);\\n Complex complex6 = complex4.atan();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d93ddfa863bd383da51bc4e5525b7c7\",\n \"score\": \"0.6422843\",\n \"text\": \"@Test\\n public void test55() throws Throwable {\\n double double0 = 0.0;\\n Complex complex0 = new Complex(0.0, (-958.50343));\\n Complex complex1 = complex0.reciprocal();\\n Complex complex2 = complex0.multiply(complex1);\\n Complex complex3 = complex0.acos();\\n Complex complex4 = complex0.negate();\\n try { \\n complex0.pow((Complex) null);\\n } catch(IllegalArgumentException e) {\\n //\\n // null is not allowed\\n //\\n assertThrownBy(\\\"org.apache.commons.math3.util.MathUtils\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd6dc3482332b22b4358e78450eaae86\",\n \"score\": \"0.6418611\",\n \"text\": \"@Test\\n public void test07() throws Throwable {\\n Complex complex0 = Complex.valueOf(4134.3659, (-1920.5610328914));\\n Complex complex1 = complex0.tan();\\n Complex complex2 = (Complex)complex0.readResolve();\\n double double0 = complex0.abs();\\n Complex complex3 = complex0.sinh();\\n Complex complex4 = complex0.asin();\\n Complex complex5 = complex0.log();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91bec8f63f1b9e10fffe0da6005884ca\",\n \"score\": \"0.6407626\",\n \"text\": \"@Test\\n public void test50() throws Throwable {\\n Complex complex0 = Complex.valueOf(1349.3479, 1349.3479);\\n Complex complex1 = complex0.tanh();\\n Complex complex2 = complex1.multiply(1349.3479);\\n Complex complex3 = complex2.conjugate();\\n Complex complex4 = complex1.subtract(complex0);\\n Complex complex5 = complex0.divide(complex1);\\n Complex complex6 = complex0.divide(237.32262137755);\\n Complex complex7 = complex0.atan();\\n Complex complex8 = complex7.acos();\\n Complex complex9 = complex2.sqrt1z();\\n Complex complex10 = complex7.atan();\\n Complex complex11 = complex7.asin();\\n Complex complex12 = Complex.valueOf((-546.413));\\n Complex complex13 = complex7.sqrt1z();\\n Complex complex14 = complex2.cosh();\\n Complex complex15 = complex13.reciprocal();\\n Complex complex16 = complex0.atan();\\n Complex complex17 = complex9.pow(237.32262137755);\\n String string0 = complex1.toString();\\n Complex complex18 = complex7.subtract(complex10);\\n Complex complex19 = complex18.add(218.0);\\n boolean boolean0 = complex18.equals(complex16);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ca39b3375497bc09ea6cfe55de164398\",\n \"score\": \"0.6386125\",\n \"text\": \"@Test\\n public void test08() throws Throwable {\\n Complex complex0 = Complex.valueOf((-3455.36), 0.6102112531661987);\\n Complex complex1 = complex0.tanh();\\n Complex complex2 = (Complex)complex0.readResolve();\\n Complex complex3 = complex1.multiply((-613));\\n Complex complex4 = complex1.cos();\\n Complex complex5 = (Complex)complex1.readResolve();\\n List<Complex> list0 = complex0.nthRoot(3876);\\n ComplexField complexField0 = complex1.getField();\\n Complex complex6 = complex1.divide((-3455.36));\\n String string0 = complex1.toString();\\n Complex complex7 = complex4.createComplex((-3455.36), (-1966.8544099279632));\\n Complex complex8 = Complex.valueOf(154.33937761, (double) 3876);\\n Complex complex9 = complex6.reciprocal();\\n Complex complex10 = Complex.valueOf(0.0);\\n Complex complex11 = complex0.multiply(0.6102112531661987);\\n Complex complex12 = complex1.cos();\\n Complex complex13 = complex4.pow((double) (-613));\\n Complex complex14 = complex11.divide(complex13);\\n Complex complex15 = complex7.divide(2.0);\\n // Undeclared exception!\\n try { \\n complex13.nthRoot(3876);\\n } catch(TooManyResourcesException e) {\\n //\\n // Loop has been executed more times than the allowed 10000\\n //\\n assertThrownBy(\\\"org.evosuite.runtime.LoopCounter\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fc28a8ceb60d33018aa14774c8adafee\",\n \"score\": \"0.6376666\",\n \"text\": \"@Test\\n public void test40() throws Throwable {\\n Complex complex0 = new Complex((-789.4830913492623));\\n Complex complex1 = Complex.valueOf(1570.0130854045399, 1527.52509);\\n Complex complex2 = complex1.tan();\\n Complex complex3 = complex1.cos();\\n boolean boolean0 = complex0.isInfinite();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e866558d0d0bc46b55db1b1b8d89530a\",\n \"score\": \"0.63695997\",\n \"text\": \"@Test\\n public void test51() throws Throwable {\\n Complex complex0 = Complex.valueOf(0.9811055226493881);\\n Complex complex1 = complex0.asin();\\n Complex complex2 = complex0.sinh();\\n double double0 = complex2.getArgument();\\n Complex complex3 = complex0.tan();\\n Complex complex4 = complex0.negate();\\n Complex complex5 = complex4.add(complex0);\\n Complex complex6 = complex4.tanh();\\n Complex complex7 = complex2.multiply(complex4);\\n Complex complex8 = (Complex)complex2.readResolve();\\n Complex complex9 = complex2.asin();\\n Complex complex10 = complex3.atan();\\n Complex complex11 = complex10.createComplex(2.194891929626465, 0.9811055226493881);\\n ComplexField complexField0 = complex0.getField();\\n Complex complex12 = complex0.tanh();\\n Complex complex13 = complex9.subtract(complex12);\\n boolean boolean0 = complex9.equals(complex2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"29b94710fab9cec9fb9e7d7359b22085\",\n \"score\": \"0.63578975\",\n \"text\": \"@Test\\n public void test44() throws Throwable {\\n Complex complex0 = new Complex(2394.891);\\n Complex complex1 = complex0.asin();\\n Complex complex2 = complex1.pow(complex0);\\n Complex complex3 = complex1.cos();\\n Complex complex4 = complex0.reciprocal();\\n Complex complex5 = complex0.sqrt1z();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6765690b122b170d332d4afa9ff17169\",\n \"score\": \"0.6335007\",\n \"text\": \"@Test\\n public void test16() throws Throwable {\\n Complex complex0 = new Complex(Double.NaN, Double.NaN);\\n Complex complex1 = complex0.conjugate();\\n Complex complex2 = complex0.log();\\n Complex complex3 = complex1.divide(complex0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"06c465349ca0ccd0a0382cb163a64718\",\n \"score\": \"0.63183546\",\n \"text\": \"@Test\\n public void test04() throws Throwable {\\n Complex complex0 = new Complex(0.0);\\n Complex complex1 = complex0.createComplex(0.0, 0.0);\\n Complex complex2 = complex1.sin();\\n Complex complex3 = complex1.atan();\\n Complex complex4 = complex0.tan();\\n Complex complex5 = complex1.sin();\\n Complex complex6 = complex0.exp();\\n Complex complex7 = complex2.conjugate();\\n Complex complex8 = complex0.add(complex2);\\n double double0 = complex4.getReal();\\n boolean boolean0 = complex4.isInfinite();\\n Complex complex9 = complex8.acos();\\n Complex complex10 = complex8.divide(complex7);\\n Complex complex11 = complex7.multiply(1.4678359031677246);\\n double double1 = complex0.abs();\\n List<Complex> list0 = complex10.nthRoot(1030);\\n Complex complex12 = complex3.atan();\\n String string0 = complex0.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ae47407b6f7201388a5b18a00963d05\",\n \"score\": \"0.6286634\",\n \"text\": \"@Test\\n public void test45() throws Throwable {\\n Complex complex0 = new Complex(0.17759034037590027);\\n Complex complex1 = complex0.pow(0.0);\\n boolean boolean0 = complex0.equals(complex0);\\n boolean boolean1 = complex0.isInfinite();\\n Complex complex2 = complex1.divide(complex0);\\n double double0 = complex0.getArgument();\\n Complex complex3 = complex1.createComplex(0.0, 600.890259);\\n Complex complex4 = complex0.atan();\\n double double1 = complex2.getReal();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"262c773b5dd42589948d6c31a4cd2bef\",\n \"score\": \"0.62774706\",\n \"text\": \"@Test\\n public void test23() throws Throwable {\\n Complex complex0 = new Complex((-365.847925));\\n Complex complex1 = new Complex((-365.847925), (-365.847925));\\n double double0 = complex0.abs();\\n Complex complex2 = Complex.valueOf(0.0, 4494.0);\\n String string0 = complex1.toString();\\n List<Complex> list0 = complex1.nthRoot(1);\\n Complex complex3 = complex1.sin();\\n boolean boolean0 = complex1.isInfinite();\\n Complex complex4 = complex0.sqrt();\\n Complex complex5 = (Complex)complex0.readResolve();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"763021248b9485053671d46b700f03f1\",\n \"score\": \"0.62340665\",\n \"text\": \"@Test\\n public void test24() throws Throwable {\\n Complex complex0 = new Complex(0.0);\\n Complex complex1 = complex0.add(0.0);\\n Complex complex2 = complex0.log();\\n Complex complex3 = complex0.createComplex(1.0, 1.0);\\n Complex complex4 = (Complex)complex0.readResolve();\\n Complex complex5 = complex0.createComplex((-566.39385), 0.0);\\n Complex complex6 = complex0.reciprocal();\\n Complex complex7 = complex6.asin();\\n Complex complex8 = (Complex)complex0.readResolve();\\n Complex complex9 = complex6.conjugate();\\n Complex complex10 = complex6.subtract(complex0);\\n Complex complex11 = complex0.reciprocal();\\n boolean boolean0 = complex6.isNaN();\\n String string0 = complex6.toString();\\n Complex complex12 = complex2.multiply(complex10);\\n Complex complex13 = complex9.acos();\\n Complex complex14 = complex12.sinh();\\n Complex complex15 = complex10.divide(complex9);\\n Complex complex16 = complex12.subtract((-566.39385));\\n Complex complex17 = complex6.log();\\n Complex complex18 = complex0.sqrt();\\n try { \\n complex6.nthRoot(0);\\n } catch(IllegalArgumentException e) {\\n //\\n // cannot compute nth root for null or negative n: 0\\n //\\n assertThrownBy(\\\"org.apache.commons.math3.complex.Complex\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4fe0baeab2156e798205d0a5e4f05243\",\n \"score\": \"0.6216972\",\n \"text\": \"public static void main(String[] args) throws FileNotFoundException {\\n\\t\\t\\n\\tScanner input\\t=\\tnew Scanner(new File(\\\"Data/input.txt\\\")); // The text file to read the test cases\\n\\n\\tPrintStream output =\\tnew PrintStream(new File(\\\"Data/output.txt\\\")); // The text file to store the results\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// of the test cases\\n\\t\\t\\n\\tint checkLine = 0, testCaseNumber = 0;\\n\\t\\t\\n// There are 4 methods to test, so the counter has to be reset to zero after every four lines, so that the next \\n// set of test cases can be tested for the 4 implemented methods\\n\\twhile\\t(input.hasNextLine()){\\n\\t\\tif (checkLine % 4 == 0){ \\n\\t\\t\\tcheckLine = 0;\\n\\t \\t}\\n\\t\\t\\t\\n// The following code checks if the line in the text file has 2 characters or less, if so then the line corresponds\\n// to the test case numbers (1,2,3,....10). In this case, perform no computations on that line, and just move on to\\n// the next line in the text file\\n\\tString line\\t= input.nextLine(); \\n\\t\\tif (line.length() <= 2){\\n\\t\\t\\tcontinue;\\n\\t\\t\\t}\\n\\t\\t\\t\\n// First computation on the test case, the GCD(greatest common denominator) of the two complex numbers\\n\\t\\tif (checkLine == 0){ \\n\\t\\n/* Create an array. The four values separated by commas in the first line of the input text file are parsed as \\t\\n * follows: real part of the first complex number, imaginary part of the first complex number, real part of the \\n * second complex number, imaginary part of the second complex number\\t\\t\\n */\\n\\n\\t\\t\\tString[] inputValues = line.split(\\\",\\\"); //Comma character is the separator of the 4 values\\n\\t\\t\\t\\n\\t\\t\\tComplex\\ta = new Complex(Double.parseDouble(inputValues[0]), Double.parseDouble(inputValues[1])); \\n\\t\\t\\tComplex\\tb = new Complex(Double.parseDouble(inputValues[2]), Double.parseDouble(inputValues[3]));\\n\\t\\t\\t\\n\\t\\t\\ttestCaseNumber++; // increment the test case number\\n\\t\\t\\t\\n\\t\\t\\toutput.println(\\\"Test case \\\" + testCaseNumber + \\\": \\\" + a + \\\" , \\\" + b + \\\"\\\\n\\\");\\n\\t\\t\\toutput.println(\\\"The greatest common divisor for complex number \\\" + a + \\\" and complex number \\\" + b + \\\"is \\\" + gcd(a,b));\\n\\t\\t\\t}\\n\\t\\t\\t\\n// Second computation on the test case, rotate the complex number by a given angle\\n\\t\\tif (checkLine == 1){ \\n\\t\\t\\tString[] inputValues = line.split(\\\",\\\"); //The comma character which splits the values\\n\\t\\t\\t\\n\\t\\t\\tif (inputValues[1].contains(\\\"i\\\")){ // The \\\"i\\\" character in the imaginary part is irrelevant to the \\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // computations, so it has to be dealt with\\n\\t\\t\\t\\tinputValues[1] = inputValues[1].substring(0, inputValues[1].length()-1);\\n\\t\\t \\t}\\n\\t\\t\\t\\n\\t\\t\\tComplex\\ta = new Complex(Double.parseDouble(inputValues[0]), Double.parseDouble(inputValues[1])); \\n\\t\\t\\tComplex rotate = a.rotate(a,Integer.parseInt(inputValues[2]));\\n\\t\\t\\t\\n\\t\\t\\toutput.println(\\\"The complex number \\\"+ a + \\\"rotated \\\" + inputValues[2] + \\\" degrees becomes \\\" + rotate);\\n\\t\\t\\t}\\n\\t\\t\\t\\n// Third computation on the test case, use Ohm's law to calculate the current\\n\\t\\tif (checkLine == 2){ \\n\\t\\t\\tString[] inputValues = line.split(\\\",\\\"); //The comma character which splits the different values \\n\\t\\t\\t\\n\\t\\t\\tComplex\\ta = new Complex(Double.parseDouble(inputValues[0]), Double.parseDouble(inputValues[1]));\\n\\t\\t\\tComplex\\tb = new Complex(Double.parseDouble(inputValues[2]), Double.parseDouble(inputValues[3]));\\n\\t\\t\\t\\n\\t\\t\\tComplex current = get_current(a,b);\\n\\t\\t\\t\\n\\t\\t\\toutput.println(\\\"According to Ohm's law(V=IR), the current is: \\\" + current);\\n\\t\\t\\t}\\n\\t\\t\\t\\n// Fourth computation on the test case, use Ohm's law to calculate the voltage\\n\\t\\tif (checkLine == 3){\\n\\t\\t\\tString[] inputValues = line.split(\\\",\\\"); //The comma character which splits the different values\\n\\t\\t\\t\\n\\t\\t\\tComplex\\ta = new Complex(Double.parseDouble(inputValues[0]), Double.parseDouble(inputValues[1]));\\n\\t\\t\\tComplex\\tb = new Complex(Double.parseDouble(inputValues[2]), Double.parseDouble(inputValues[3]));\\n\\t\\t\\t\\n\\t\\t\\tComplex voltage = get_voltage(a,b);\\n\\t\\t\\t\\n\\t\\t\\toutput.println(\\\"According to Ohm's law(V=IR), the voltage is: \\\" + voltage + \\\"\\\\n\\\");\\n\\t\\t\\t}\\n\\t\\tcheckLine++; // Increment and perform the same method calculator on all the other test cases\\n\\t\\t}\\n\\tinput.close();\\n\\n/*************************************\\n * \\n * \\n *\\n * Client code to test the other methods implemented in assignment problem Part 1\\n * \\n * \\n * \\n *************************************\\n */\\n\\t\\t\\n\\t\\tComplex complex1\\t= new Complex(1,7);\\n\\t\\tComplex complex2 = new Complex(3,2);\\n\\t\\toutput.println(\\\"First test case for part 1\\\");\\n\\t\\toutput.println(complex1 + \\\" plus \\\" + complex2 + \\\" equals \\\" + complex1.addition(complex2));\\n\\t\\toutput.println(complex1 + \\\" minus \\\" + complex2 + \\\" equals \\\" + complex1.subtraction(complex2));\\n\\t\\toutput.println(complex1 + \\\" multiplied by \\\" + complex2 + \\\" is \\\" + complex1.multiplication(complex2));\\n\\t\\toutput.println(complex1 + \\\" divided by \\\" + complex2 + \\\" is \\\" + complex1.division(complex2));\\n\\t\\toutput.println(\\\"Square root of \\\" + complex1 + \\\"is \\\" + complex1.squareRoot());\\n\\t\\toutput.println(\\\"polar form of \\\" + complex1 + \\\"is \\\" + complex1.polarForm());\\n\\t\\toutput.println(\\\"Conjugation of \\\" + complex1 + \\\"is \\\" + complex1.conjugation());\\n\\t\\toutput.println(\\\"\\\\n\\\");\\n\\t\\t\\n\\t\\tComplex complex11\\t= new Complex(3,9);\\n\\t\\tComplex complex22 = new Complex(2,7);\\n\\t\\toutput.println(\\\"Second test case for part 1\\\");\\n\\t\\toutput.println(complex11 + \\\" plus \\\" + complex22 + \\\" equals \\\" + complex11.addition(complex22));\\n\\t\\toutput.println(complex11 + \\\" minus \\\" + complex22 + \\\" equals \\\" + complex11.subtraction(complex22));\\n\\t\\toutput.println(complex11 + \\\" multiplied by \\\" + complex22 + \\\" is \\\" + complex11.multiplication(complex22));\\n\\t\\toutput.println(complex11 + \\\" divided by \\\" + complex22 + \\\" is \\\" + complex11.division(complex22));\\n\\t\\toutput.println(\\\"Square root of \\\" + complex11 + \\\"is \\\" + complex11.squareRoot());\\n\\t\\toutput.println(\\\"polar form of \\\" + complex11 + \\\"is \\\" + complex11.polarForm());\\n\\t\\toutput.println(\\\"Conjugation of \\\" + complex11 + \\\"is \\\" + complex11.conjugation());\\n\\t\\toutput.println(\\\"\\\\n\\\");\\n\\t\\t\\n\\t\\tComplex complex111\\t= new Complex(14,7);\\n\\t\\tComplex complex222 = new Complex(2,6);\\n\\t\\toutput.println(\\\"Third test case for part 1\\\");\\n\\t\\toutput.println(complex111 + \\\" plus \\\" + complex222 + \\\" equals \\\" + complex1.addition(complex2));\\n\\t\\toutput.println(complex111 + \\\" minus \\\" + complex222 + \\\" equals \\\" + complex111.subtraction(complex222));\\n\\t\\toutput.println(complex111 + \\\" multiplied by \\\" + complex222 + \\\" is \\\" + complex111.multiplication(complex222));\\n\\t\\toutput.println(complex111 + \\\" divided by \\\" + complex222 + \\\" is \\\" + complex111.division(complex222));\\n\\t\\toutput.println(\\\"Square root of \\\" + complex111 + \\\"is \\\" + complex111.squareRoot());\\n\\t\\toutput.println(\\\"polar form of \\\" + complex111 + \\\"is \\\" + complex111.polarForm());\\n\\t\\toutput.println(\\\"Conjugation of \\\" + complex111 + \\\"is \\\" + complex111.conjugation());\\n\\t\\toutput.println(\\\"\\\\n\\\");\\n\\t\\t\\n\\t\\tComplex complex1111\\t= new Complex(3,9);\\n\\t\\tComplex complex2222 = new Complex(1,1);\\n\\t\\toutput.println(\\\"Fourth test case for part 1\\\");\\n\\t\\toutput.println(complex1111 + \\\" plus \\\" + complex2222 + \\\" equals \\\" + complex1111.addition(complex2222));\\n\\t\\toutput.println(complex1111 + \\\" minus \\\" + complex2222 + \\\" equals \\\" + complex1111.subtraction(complex2222));\\n\\t\\toutput.println(complex1111 + \\\" multiplied by \\\" + complex2222 + \\\" is \\\" + complex1111.multiplication(complex2222));\\n\\t\\toutput.println(complex1111 + \\\" divided by \\\" + complex2222 + \\\" is \\\" + complex1111.division(complex2222));\\n\\t\\toutput.println(\\\"Square root of \\\" + complex1111 + \\\"is \\\" + complex1111.squareRoot());\\n\\t\\toutput.println(\\\"polar form of \\\" + complex1111 + \\\"is \\\" + complex1111.polarForm());\\n\\t\\toutput.println(\\\"Conjugation of \\\" + complex1111 + \\\"is \\\" + complex1111.conjugation());\\n\\t\\toutput.println(\\\"\\\\n\\\");\\n\\t\\t\\n\\t\\tComplex complex3\\t= new Complex(22,6);\\n\\t\\tComplex complex4 = new Complex(3,6);\\n\\t\\toutput.println(\\\"Fifth test case for part 1\\\");\\n\\t\\toutput.println(complex3 + \\\" plus \\\" + complex4 + \\\" equals \\\" + complex3.addition(complex4));\\n\\t\\toutput.println(complex3 + \\\" minus \\\" + complex4 + \\\" equals \\\" + complex3.subtraction(complex4));\\n\\t\\toutput.println(complex3 + \\\" multiplied by \\\" + complex4 + \\\" is \\\" + complex3.multiplication(complex4));\\n\\t\\toutput.println(complex3 + \\\" divided by \\\" + complex4 + \\\" is \\\" + complex3.division(complex4));\\n\\t\\toutput.println(\\\"Square root of \\\" + complex3 + \\\"is \\\" + complex3.squareRoot());\\n\\t\\toutput.println(\\\"polar form of \\\" + complex3 + \\\"is \\\" + complex3.polarForm());\\n\\t\\toutput.println(\\\"Conjugation of \\\" + complex3 + \\\"is \\\" + complex3.conjugation());\\n\\t\\toutput.println(\\\"\\\\n\\\");\\n\\t\\t\\n\\t\\tComplex complex33\\t= new Complex(16,3);\\n\\t\\tComplex complex44 = new Complex(4,4);\\n\\t\\toutput.println(\\\"Sixth test case for part 1\\\");\\n\\t\\toutput.println(complex33 + \\\" plus \\\" + complex44 + \\\" equals \\\" + complex33.addition(complex44));\\n\\t\\toutput.println(complex33 + \\\" minus \\\" + complex44 + \\\" equals \\\" + complex33.subtraction(complex44));\\n\\t\\toutput.println(complex33 + \\\" multiplied by \\\" + complex44 + \\\" is \\\" + complex33.multiplication(complex44));\\n\\t\\toutput.println(complex33 + \\\" divided by \\\" + complex44 + \\\" is \\\" + complex33.division(complex44));\\n\\t\\toutput.println(\\\"Square root of \\\" + complex33 + \\\"is \\\" + complex33.squareRoot());\\n\\t\\toutput.println(\\\"polar form of \\\" + complex33 + \\\"is \\\" + complex33.polarForm());\\n\\t\\toutput.println(\\\"Conjugation of \\\" + complex33 + \\\"is \\\" + complex33.conjugation());\\n\\t\\toutput.println(\\\"\\\\n\\\");\\n\\t\\tString a = \\\"abcdefghijkl\\\";\\n\\t\\tString b = \\\"cd\\\";\\n\\t\\tString c = a.substring(0,a.length()-1);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"66b9265b33321f81c28858a126ae3a73\",\n \"score\": \"0.6191969\",\n \"text\": \"@Test\\n public void test02() throws Throwable {\\n Complex complex0 = new Complex(3.2542391242036633E233);\\n Complex complex1 = complex0.sqrt1z();\\n Complex complex2 = complex1.acos();\\n Complex complex3 = complex1.multiply(complex0);\\n Complex complex4 = complex1.createComplex(20.0, 3.2542391242036633E233);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd47e6a4ddafd609c22bff6adee638de\",\n \"score\": \"0.6161012\",\n \"text\": \"@Test\\n public void test39() throws Throwable {\\n Complex complex0 = Complex.valueOf(0.0, 4224.048705636238);\\n Complex complex1 = complex0.sqrt();\\n Complex complex2 = complex0.pow(0.0);\\n Complex complex3 = complex0.negate();\\n int int0 = complex0.hashCode();\\n boolean boolean0 = complex0.isNaN();\\n Complex complex4 = complex0.tan();\\n try { \\n complex0.divide((Complex) null);\\n } catch(IllegalArgumentException e) {\\n //\\n // null is not allowed\\n //\\n assertThrownBy(\\\"org.apache.commons.math3.util.MathUtils\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1385ea136169711b9a6356d42974968a\",\n \"score\": \"0.612694\",\n \"text\": \"@Test\\n public void test25() throws Throwable {\\n Complex complex0 = Complex.valueOf(1701.9);\\n Complex complex1 = (Complex)complex0.readResolve();\\n ComplexField complexField0 = complex0.getField();\\n Complex complex2 = complex0.atan();\\n Complex complex3 = Complex.valueOf(1701.9);\\n int int0 = complex2.hashCode();\\n Complex complex4 = Complex.valueOf(1701.9, 4.367697180842916E-8);\\n Complex complex5 = complex2.subtract(complex4);\\n Complex complex6 = complex2.pow(1701.9);\\n double double0 = complex2.getImaginary();\\n ComplexField complexField1 = complex6.getField();\\n Complex complex7 = complex0.pow(complex6);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37a23c3f5f3573799758b038ded7dbcf\",\n \"score\": \"0.6109681\",\n \"text\": \"@Test\\n public void test31() throws Throwable {\\n Complex complex0 = Complex.valueOf(1542.017485671073);\\n try { \\n complex0.add((Complex) null);\\n } catch(IllegalArgumentException e) {\\n //\\n // null is not allowed\\n //\\n assertThrownBy(\\\"org.apache.commons.math3.util.MathUtils\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0a8ff993afd768ad91df9d0c5934c0f7\",\n \"score\": \"0.6104761\",\n \"text\": \"@Test\\n public void test48() throws Throwable {\\n Complex complex0 = Complex.valueOf((-20.0));\\n Complex complex1 = complex0.cos();\\n Complex complex2 = complex0.acos();\\n Complex complex3 = complex0.multiply((-20.0));\\n Complex complex4 = complex0.acos();\\n Complex complex5 = complex4.tanh();\\n Complex complex6 = complex2.negate();\\n boolean boolean0 = complex2.equals(complex4);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"be1a1ac122c597dd4045cb3431f026c7\",\n \"score\": \"0.60885435\",\n \"text\": \"@Test\\n public void test27() throws Throwable {\\n Complex complex0 = Complex.valueOf(0.0, 0.0);\\n Complex complex1 = new Complex(0.0, 0.0);\\n Complex complex2 = complex1.reciprocal();\\n Complex complex3 = complex2.cos();\\n Complex complex4 = (Complex)complex1.readResolve();\\n boolean boolean0 = complex2.isInfinite();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ffd0c52fbbcbfc6c440e886967ec19f\",\n \"score\": \"0.60818607\",\n \"text\": \"@Test\\n public void test60() throws Throwable {\\n Complex complex0 = Complex.valueOf((-20.0), (-20.0));\\n Complex complex1 = complex0.sinh();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf2854af707d02f43f98c47c9b9eea9a\",\n \"score\": \"0.60777175\",\n \"text\": \"@Test\\n public void test29() throws Throwable {\\n Complex complex0 = new Complex(3.2542391242036633E233);\\n Complex complex1 = complex0.sqrt1z();\\n List<Complex> list0 = complex0.nthRoot(354);\\n Complex complex2 = complex1.acos();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a3138a8909f238025c840da4c945945c\",\n \"score\": \"0.6049746\",\n \"text\": \"@Test\\n public void test54() throws Throwable {\\n Complex complex0 = new Complex((-789.4830913492623));\\n Complex complex1 = Complex.valueOf(1570.0130854045399, 1536.9560046181791);\\n Complex complex2 = complex0.cos();\\n boolean boolean0 = complex0.isInfinite();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a5fba2d0bd2d0d595f1dc99140c03c53\",\n \"score\": \"0.5998536\",\n \"text\": \"@Test\\n public void test05() throws Throwable {\\n Complex complex0 = new Complex(8.711129287069315E-8, Double.POSITIVE_INFINITY);\\n try { \\n complex0.pow((Complex) null);\\n } catch(IllegalArgumentException e) {\\n //\\n // null is not allowed\\n //\\n assertThrownBy(\\\"org.apache.commons.math3.util.MathUtils\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c833abc087284654912a87a802c268aa\",\n \"score\": \"0.5981039\",\n \"text\": \"@Test\\n public void test00() throws Throwable {\\n Complex complex0 = Complex.valueOf((-20.0), (-20.0));\\n Complex complex1 = complex0.tanh();\\n Complex complex2 = complex0.sinh();\\n Complex complex3 = complex2.multiply((-20.0));\\n Complex complex4 = (Complex)complex0.readResolve();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0685d63d2a9b974f7604bb537cfc3d81\",\n \"score\": \"0.5975047\",\n \"text\": \"@Test\\n public void test32() throws Throwable {\\n Complex complex0 = new Complex(0.0, 0.0);\\n double double0 = complex0.abs();\\n List<Complex> list0 = complex0.nthRoot(936);\\n double double1 = complex0.getArgument();\\n Complex complex1 = complex0.tan();\\n Complex complex2 = complex0.cos();\\n double double2 = complex0.getReal();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44feb9ae38f393e36b4987fe53b4370e\",\n \"score\": \"0.59624153\",\n \"text\": \"@Test\\n public void test35() throws Throwable {\\n Complex complex0 = new Complex(0.0);\\n Complex complex1 = complex0.divide(0.0);\\n String string0 = complex1.toString();\\n Complex complex2 = complex0.sinh();\\n Complex complex3 = complex1.multiply(0.0);\\n try { \\n complex1.nthRoot((-713));\\n } catch(IllegalArgumentException e) {\\n //\\n // cannot compute nth root for null or negative n: -713\\n //\\n assertThrownBy(\\\"org.apache.commons.math3.complex.Complex\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a5b9971c5a5b5348f6ac2232b0d4b5bb\",\n \"score\": \"0.59608036\",\n \"text\": \"@Test\\n public void test42() throws Throwable {\\n Complex complex0 = Complex.valueOf((-541.4323706342193), (-1242.60954009));\\n double double0 = complex0.getReal();\\n Object object0 = new Object();\\n boolean boolean0 = complex0.equals(object0);\\n double double1 = complex0.getImaginary();\\n double double2 = complex0.getReal();\\n double double3 = complex0.getImaginary();\\n Complex complex1 = complex0.sqrt1z();\\n Complex complex2 = complex1.pow(complex0);\\n ComplexField complexField0 = complex1.getField();\\n Complex complex3 = complex1.add(complex2);\\n Complex complex4 = complex1.acos();\\n Complex complex5 = Complex.valueOf(0.0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d65e4a8ee8fc3d7dc2abeebb5cc41c07\",\n \"score\": \"0.5883026\",\n \"text\": \"@Test\\n public void test17() throws Throwable {\\n Complex complex0 = new Complex(0.0, Double.NaN);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b04471b47bdf48dc16d44d839f4908bb\",\n \"score\": \"0.5809359\",\n \"text\": \"@Test\\n public void test33() throws Throwable {\\n Complex complex0 = Complex.valueOf((-1.0));\\n double double0 = complex0.abs();\\n try { \\n complex0.multiply((Complex) null);\\n } catch(IllegalArgumentException e) {\\n //\\n // null is not allowed\\n //\\n assertThrownBy(\\\"org.apache.commons.math3.util.MathUtils\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2be3f5df7175e9b6260227fc2b668ad2\",\n \"score\": \"0.57871616\",\n \"text\": \"@Test\\n public void test34() throws Throwable {\\n Complex complex0 = Complex.valueOf(0.0, 0.0);\\n try { \\n complex0.subtract((Complex) null);\\n } catch(IllegalArgumentException e) {\\n //\\n // null is not allowed\\n //\\n assertThrownBy(\\\"org.apache.commons.math3.util.MathUtils\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"971b3a7c4525d7702d7bf3397b8ec256\",\n \"score\": \"0.5784858\",\n \"text\": \"public void testSystem804() {\\n\\n check(\\\"Integrate(1/(x^3 + 1), x)\\\", \\\"ArcTan((-1+2*x)/Sqrt(3))/Sqrt(3)+Log(3+3*x)/3-Log(1-x+x^2)/6\\\");\\n check(\\\"D(1/3*(-3*ArcTan((2*x+1)*3^(-1/2))*3^(-1/2)-1/2*Log(x^2-x+1))+1/3*Log(x+1), x)\\\",\\n \\\"1/(3*(1+x))+1/3*(-(-1+2*x)/(2*(1-x+x^2))+2/(-1-(1+2*x)^2/3))\\\");\\n check(\\\"Simplify(D(Integrate(1/(x^3 + 1), x), x))\\\", \\\"1/(1+x^3)\\\");\\n // check(\\\"Apart((1+(1/x))/(1+(2/x)))\\\",\\\"\\\");\\n // check(\\\"FullForm((1+(1/x))/(1+(2/x)))\\\",\\\"\\\");\\n // check(\\\"Simplify((1+(1/x))/(1+(2/x)))\\\",\\\"\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dcf18edd7190ff0f67f56698e5c21a07\",\n \"score\": \"0.57793605\",\n \"text\": \"@Test\\n void testATimesBPlusC() {\\n {\\n final BigComplex br1 = new BigComplex(new BigRational(\\\"1\\\"), new BigRational(\\\"2\\\"));\\n final BigComplex br2 = new BigComplex(new BigRational(\\\"2\\\"), new BigRational(\\\"4\\\"));\\n final BigComplex br3 = new BigComplex(new BigRational(\\\"3\\\"), new BigRational(\\\"6\\\"));\\n final BigComplex r1 = new BigComplex(new BigRational(\\\"-15\\\"), new BigRational(\\\"20\\\"));\\n Assertions.assertEquals(r1, br1.multiply(br2.add(br3)));\\n Assertions.assertEquals(r1, br1.multiply(br2).add(br1.multiply(br3)));\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d03cafc1e4c7c8d64bd90d8a67d7befd\",\n \"score\": \"0.56278163\",\n \"text\": \"@Test\\n public void testCalculateClimb() {\\n System.out.println(\\\"calculateClimb\\\");\\n\\n Amount<Length> airportAltitude = Amount.valueOf(0.0, SI.METER);\\n flight.getFlightInfo().getAircraft().setFlightPattern(flightPattern);\\n\\n double expResult1 = 428298d;\\n double expResult2 = 2220d;\\n double expResult3 = 16131d;\\n\\n AlgorithmAnalysis alg = Calculus.calculateClimb(flight, airportAltitude);\\n double result1 = alg.getDistance().doubleValue(SI.METER);\\n double result2 = alg.getDuration().doubleValue(SI.SECOND);\\n double result3 = alg.getConsumption().doubleValue(SI.KILOGRAM);\\n\\n assertEquals(expResult1, result1, 10);\\n assertEquals(expResult2, result2, 10);\\n assertEquals(expResult3, result3, 10);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"052e53d35d377dd1f5d75beffc647bfd\",\n \"score\": \"0.562239\",\n \"text\": \"@Test\\n public void imAddingCoverage() throws Exception {\\n calc.Calculate(-1.0, 4.5, \\\"+\\\");\\n\\n assertThat(\\\"invalid sum\\\", true, is(equalTo(true)));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"217bd798314ea541ddc84e32118a7625\",\n \"score\": \"0.55984926\",\n \"text\": \"public static void main(String[] args) {\\n Complex a = new Complex(5.0, 6.0);\\n Complex b = new Complex(-3.0, 4.0);\\n\\n // StdOut.println(\\\"a = \\\" + a);\\n // StdOut.println(\\\"b = \\\" + b);\\n // StdOut.println(\\\"Re(a) = \\\" + a.re());\\n // StdOut.println(\\\"Im(a) = \\\" + a.im());\\n // StdOut.println(\\\"b + a = \\\" + b.plus(a));\\n // StdOut.println(\\\"a - b = \\\" + a.minus(b));\\n // StdOut.println(\\\"a * b = \\\" + a.times(b));\\n // StdOut.println(\\\"b * a = \\\" + b.times(a));\\n // StdOut.println(\\\"a / b = \\\" + a.divides(b));\\n // StdOut.println(\\\"(a / b) * b = \\\" + a.divides(b).times(b));\\n // StdOut.println(\\\"conj(a) = \\\" + a.conjugate());\\n // StdOut.println(\\\"|a| = \\\" + a.abs());\\n // StdOut.println(\\\"tan(a) = \\\" + a.tan());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5fa1cbe3a323d8b08e30a18dcef2f1db\",\n \"score\": \"0.55955154\",\n \"text\": \"@SuppressWarnings(\\\"cast\\\")\\n protected double complexCalc()\\n {\\n double d = 4.77d;\\n int i = 77;\\n long l = 24L;\\n boolean b = true;\\n char c = 'F';\\n float f = 33.6673f;\\n short s = 57;\\n byte y = 4;\\n\\n d = newDouble(d);\\n i = newInt(i);\\n l = newLong(l);\\n b = newBool(b);\\n c = newChar(c);\\n s = newShort(s);\\n\\n float f2 = (float) d;\\n double d2 = (double) f;\\n\\n int i2 = (int) s;\\n short s2 = (short) i;\\n\\n long l2 = (long) i2;\\n int i3 = (int) l2;\\n\\n short s3 = (short) l;\\n long l3 = (long) s2;\\n\\n int i4 = (int) y;\\n byte b2 = (byte) i;\\n\\n int i5 = (int) f2;\\n float f3 = (float) i3;\\n\\n int i6 = (int) d2;\\n double d3 = (double) i5;\\n\\n long l4 = (long) f3;\\n float f4 = (float) l3;\\n\\n long l5 = (long) d3;\\n double d4 = (double) l4;\\n\\n int i7 = (int) c;\\n\\n double r = ((d4 + f4) * (d3 + f3)) + (1.0d * (l4 + l5 - i7)) + (2.0d * (i4 + i5 + i6 - s3 + b2));\\n\\n return r;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d745de159234847747a59e2cf27a69cd\",\n \"score\": \"0.55338687\",\n \"text\": \"@Test\\n public void testTransformComplex() {\\n final FastFourierTransform.Norm[] norm = FastFourierTransform.Norm.values();\\n for (int i = 0; i < norm.length; i++) {\\n for (boolean type : new boolean[] {true, false}) {\\n doTestTransformComplex(2, 1e-15, EPSILON, norm[i], type);\\n doTestTransformComplex(4, 1e-14, EPSILON, norm[i], type);\\n doTestTransformComplex(8, 1e-13, EPSILON, norm[i], type);\\n doTestTransformComplex(16, 1e-13, EPSILON, norm[i], type);\\n doTestTransformComplex(32, 1e-12, EPSILON, norm[i], type);\\n doTestTransformComplex(64, 1e-11, EPSILON, norm[i], type);\\n doTestTransformComplex(128, 1e-11, EPSILON, norm[i], type);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8993d593b3881455af8b748f971120a5\",\n \"score\": \"0.54532105\",\n \"text\": \"@Test\\n public void test06() throws Throwable {\\n IllinoisSolver illinoisSolver0 = new IllinoisSolver((-2492.664949980258), (-2492.664949980258), (-2492.664949980258));\\n Cos cos0 = new Cos();\\n AllowedSolution allowedSolution0 = AllowedSolution.ABOVE_SIDE;\\n // Undeclared exception!\\n try { \\n illinoisSolver0.solve((-428), (UnivariateRealFunction) cos0, (double) (-428), (-2492.664949980258), allowedSolution0);\\n } catch(IllegalStateException e) {\\n //\\n // illegal state: maximal count (-428) exceeded: evaluations\\n //\\n assertThrownBy(\\\"org.apache.commons.math.analysis.solvers.BaseAbstractUnivariateRealSolver\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eaec576360488ad8ccf02aa93eac3255\",\n \"score\": \"0.5409485\",\n \"text\": \"private EnteringComplexNumbers()\\r\\n {\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"917ad9b07678719b1903f36485451b61\",\n \"score\": \"0.53974044\",\n \"text\": \"@Test\\n public void testCalculateLanding() {\\n System.out.println(\\\"calculateLanding\\\");\\n\\n Amount<Length> airportAltitude = Amount.valueOf(0.0, SI.METER);\\n flight.getFlightInfo().getAircraft().setFlightPattern(flightPattern);\\n\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().setLapseRateFactor(Amount.valueOf(0.96, Unit.ONE));\\n flight.getFlightInfo().getAircraft().getAircraftModel().setWingArea(Amount.valueOf(858, SI.SQUARE_METRE));\\n flight.getFlightInfo().getAircraft().getAircraftModel().setAspectRatio(Amount.valueOf(9, Unit.ONE));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().setCruiseAltitude(Amount.valueOf(10061, SI.METER));\\n flight.getFlightInfo().getAircraft().getAircraftModel().setE(Amount.valueOf(0.84, Unit.ONE));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().getThrustFunction().setThrust0(Amount.valueOf(3.38E+05, SI.NEWTON));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().getThrustFunction().setThrustMaxSpeed(Amount.valueOf(1.80E+05, SI.NEWTON));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().getThrustFunction().setMaxSpeed(Amount.valueOf(0.9, NonSI.MACH));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().setNumberOfMotors(4);\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().setTsfc(Amount.valueOf(1.60E-04, CustomUnits.TSFC_NNS));\\n flight.setEffectiveCargo(Amount.valueOf(70000, SI.KILOGRAM));\\n flight.setEffectiveFuel(Amount.valueOf(29748, SI.KILOGRAM));\\n flight.getFlightInfo().getAircraft().getAircraftModel().setEmptyWeight(Amount.valueOf(3.00E+05, SI.KILOGRAM));\\n\\n double expResult1 = 220159d;\\n double expResult2 = 1500d;\\n double expResult3 = 1877d;\\n\\n AlgorithmAnalysis alg = Calculus.calculateLanding(flight, airportAltitude);\\n double result1 = alg.getDistance().doubleValue(SI.METER);\\n double result2 = alg.getDuration().doubleValue(SI.SECOND);\\n double result3 = alg.getConsumption().doubleValue(SI.KILOGRAM);\\n\\n assertEquals(expResult1, result1, 10);\\n assertEquals(expResult2, result2, 10);\\n assertEquals(expResult3, result3, 10);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7ec0f6a42b08511f53ce7b9ca33e930\",\n \"score\": \"0.53899014\",\n \"text\": \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixLatex0);\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\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(0, resultMatrixLatex0.getColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\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(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n \\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixSignificance0);\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\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 assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\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.getRowCount());\\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 assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n \\n String string0 = resultMatrixSignificance0.getRowName((-2309));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNull(string0);\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\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 assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\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.getRowCount());\\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 assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n \\n int[][] intArray0 = new int[0][5];\\n // Undeclared exception!\\n try { \\n resultMatrixSignificance0.setSummary(intArray0, intArray0);\\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\": \"956b09acf3d78e75081e3338d0abb9c9\",\n \"score\": \"0.5377604\",\n \"text\": \"@Test\\n public void testCalculateCruise() {\\n System.out.println(\\\"calculateCruise\\\");\\n\\n Amount<Length> segmentDistance = Amount.valueOf(411652, SI.METER);\\n flight.getFlightInfo().getAircraft().setFlightPattern(flightPattern);\\n\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().setLapseRateFactor(Amount.valueOf(0.96, Unit.ONE));\\n flight.getFlightInfo().getAircraft().getAircraftModel().setWingArea(Amount.valueOf(858, SI.SQUARE_METRE));\\n flight.getFlightInfo().getAircraft().getAircraftModel().setAspectRatio(Amount.valueOf(9, Unit.ONE));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().setCruiseAltitude(Amount.valueOf(10500, SI.METER));\\n flight.getFlightInfo().getAircraft().getAircraftModel().setE(Amount.valueOf(0.84, Unit.ONE));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().getThrustFunction().setThrust0(Amount.valueOf(3.38E+05, SI.NEWTON));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().getThrustFunction().setThrustMaxSpeed(Amount.valueOf(1.80E+05, SI.NEWTON));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().getThrustFunction().setMaxSpeed(Amount.valueOf(0.9, NonSI.MACH));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().setNumberOfMotors(4);\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().setTsfc(Amount.valueOf(1.60E-04, CustomUnits.TSFC_NNS));\\n flight.getFlightInfo().getAircraft().getAircraftModel().getMotorization().setCruiseSpeed(Amount.valueOf(0.76929307, NonSI.MACH));\\n flight.setEffectiveCargo(Amount.valueOf(70000, SI.KILOGRAM));\\n flight.setEffectiveFuel(Amount.valueOf(8040d, SI.KILOGRAM));\\n flight.getFlightInfo().getAircraft().getAircraftModel().setEmptyWeight(Amount.valueOf(3.00E+05, SI.KILOGRAM));\\n\\n double expResult1 = 411652d;\\n double expResult2 = 1800d;\\n double expResult3 = 7029d;\\n\\n AlgorithmAnalysis alg = Calculus.calculateCruise(flight, segmentDistance);\\n double result1 = alg.getDistance().doubleValue(SI.METER);\\n double result2 = alg.getDuration().doubleValue(SI.SECOND);\\n double result3 = alg.getConsumption().doubleValue(SI.KILOGRAM);\\n\\n assertEquals(expResult1, result1, 10);\\n assertEquals(expResult2, result2, 10);\\n assertEquals(expResult3, result3, 10);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70510bd1099b9b685dc393392c4f93ea\",\n \"score\": \"0.5376226\",\n \"text\": \"@Test\\r\\n public void testAdd3() {\\r\\n double inputValue = 0.5;\\r\\n try {\\r\\n assertEquals(60, ArccosF.computeArcos(inputValue));\\r\\n } catch (Exception e) {\\r\\n // TODO Auto-generated catch block\\r\\n e.printStackTrace();\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c568a24f203fa0e6bf4d9f25d88402b\",\n \"score\": \"0.5368872\",\n \"text\": \"public static void main(String[] args) {\\n new Fraction(1, 0);\\n // test multiply\\n\\tFraction f = new Fraction(6,20);\\n\\tFraction g = new Fraction(1,2);\\n\\tFraction h = new Fraction(3,5);\\n\\tFraction i = new Fraction(4,5);\\n\\tFraction j = new Fraction(1,5);\\n\\tFraction k = new Fraction(1, -3);\\n\\tFraction l = new Fraction(-1, 2);\\n\\tFraction m = new Fraction(-1, -2);\\n\\tFraction n = new Fraction(3,-10);\\n\\tFraction o = new Fraction(1, 3);\\n\\tFraction p = new Fraction(1, 2);\\n\\tFraction q = new Fraction(1, -2);\\n\\tFraction r = new Fraction(4, -2);\\n\\tif (!f.equals(g.multiply(h))) System.out.println(\\\"Multiply failed\\\");\\n // test equals \\n\\ttest(new Fraction(1, 2),new Fraction(1, 2),\\\"error test 1\\\");\\n\\ttest(new Fraction(1, 2),new Fraction(3, 6),\\\"error test 2\\\");\\n\\ttest(new Fraction(-1, 2),new Fraction(1, -2),\\\"error test 3\\\");\\n\\ttest(new Fraction(-1, -2),new Fraction(1, 2),\\\"error test 4\\\");\\n\\ttest(new Fraction(4, -8),new Fraction(1, 2),\\\"error test 5\\\");\\n\\n // test divide\\n\\tif (!h.equals(f.divide(g))) System.out.println(\\\"divide failed\\\");\\n \\n \\n // test add\\n\\tif (!i.equals(f.add(g))) System.out.println(\\\"add failed\\\");\\n \\n\\n\\t // test subtract\\n\\tif (!j.equals(g.subtract(f))) System.out.println(\\\"subtract failed\\\");\\n \\n \\n\\t\\t// test add\\n\\tif (!i.equals(f.add(g))) System.out.println(\\\"add failed\\\");\\n\\t\\n\\t\\t//test absValue\\n\\ttest(f, f.absValue(), \\\"absolute test 1 failed\\\");\\n\\ttest(o, k.absValue(), \\\"absolute test 2 failed\\\");\\n\\ttest(p, l.absValue(), \\\"absolute test 3 failed\\\");\\n\\ttest(m, m.absValue(), \\\"absolute test 4 failed\\\");\\n\\n\\t\\t//test negate\\n\\ttest(n, f.negate(), \\\"negate test 1 failed\\\");\\n\\ttest(o, k.negate(), \\\"negate test 2 failed\\\");\\n\\ttest(p, l.negate(), \\\"negate test 3 failed\\\");\\n\\ttest(q, m.negate(), \\\"negate test 4 failed\\\");\\n\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"84f85c3561a95490fa282d1cf2eb110e\",\n \"score\": \"0.5365913\",\n \"text\": \"@Test\\n void testATimesBTimesC() {\\n {\\n final BigComplex br1 = new BigComplex(new BigRational(\\\"1\\\"), new BigRational(\\\"2\\\"));\\n final BigComplex br2 = new BigComplex(new BigRational(\\\"2\\\"), new BigRational(\\\"4\\\"));\\n final BigComplex br3 = new BigComplex(new BigRational(\\\"3\\\"), new BigRational(\\\"6\\\"));\\n final BigComplex r1 = new BigComplex(new BigRational(\\\"-66\\\"), new BigRational(\\\"-12\\\"));\\n Assertions.assertEquals(r1, br1.multiply(br2.multiply(br3)));\\n Assertions.assertEquals(r1, br1.multiply(br2).multiply(br3));\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"801ea4e116878d07715adadebbd15546\",\n \"score\": \"0.53629225\",\n \"text\": \"@Test\\r\\n public void testAdd2() {\\r\\n double inputValue = -0.5;\\r\\n try {\\r\\n assertEquals(100, ArccosF.computeArcos(inputValue));\\r\\n } catch (Exception e) {\\r\\n // TODO Auto-generated catch block\\r\\n e.printStackTrace();\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"284b2eda455e8055cc185d30d1c2570e\",\n \"score\": \"0.5362073\",\n \"text\": \"public void testCalcTotalMethods() {\\n System.out.println(\\\"Entering testCalcTotalMethods\\\");\\n\\n float actualValue = (float) ProblemInfo.vNodesLevelCostF.getTotalCost(za.getZeus()\\n .getRoot()\\n .getVRPTW().mainDepots.getFirst().mainTrucks.getFirst().mainVisitNodes);\\n float value = za.calculateCost();\\n assertTrue(value == actualValue);\\n\\n actualValue = (float) ProblemInfo.vNodesLevelCostF.getTotalExcessTime(za.getZeus()\\n .getRoot()\\n .getVRPTW().mainDepots.getFirst().mainTrucks.getFirst().mainVisitNodes);\\n value = za.calcTotalExcessTime();\\n assertTrue(value == actualValue);\\n\\n actualValue = (float) ProblemInfo.vNodesLevelCostF.getTotalDemand(za.getZeus()\\n .getRoot()\\n .getVRPTW().mainDepots.getFirst().mainTrucks.getFirst().mainVisitNodes);\\n value = za.calculateCapacity();\\n assertTrue(value == actualValue);\\n\\n actualValue = (float) ProblemInfo.vNodesLevelCostF.getTotalDistance(za.getZeus()\\n .getRoot()\\n .getVRPTW().mainDepots.getFirst().mainTrucks.getFirst().mainVisitNodes);\\n value = za.calculateDistTrav();\\n assertTrue(value == actualValue);\\n\\n actualValue = (float) ProblemInfo.vNodesLevelCostF.getTotalOverload(za.getZeus()\\n .getRoot()\\n .getVRPTW().mainDepots.getFirst().mainTrucks.getFirst().mainVisitNodes);\\n value = za.calcTotalOverload();\\n assertTrue(value == actualValue);\\n\\n actualValue = (float) ProblemInfo.vNodesLevelCostF.getTotalTardinessTime(za.getZeus()\\n .getRoot()\\n .getVRPTW().mainDepots.getFirst().mainTrucks.getFirst().mainVisitNodes);\\n value = za.calcTotalTardiness();\\n assertTrue(value == actualValue);\\n\\n actualValue = (float) ProblemInfo.vNodesLevelCostF.getTotalWaitTime(za.getZeus()\\n .getRoot()\\n .getVRPTW().mainDepots.getFirst().mainTrucks.getFirst().mainVisitNodes);\\n value = za.calcTotalWaitTime();\\n assertTrue(value == actualValue);\\n\\n actualValue = (float) ProblemInfo.vNodesLevelCostF.getTotalTravelTime(za.getZeus()\\n .getRoot()\\n .getVRPTW().mainDepots.getFirst().mainTrucks.getFirst().mainVisitNodes);\\n value = za.calculateTotalTime();\\n assertTrue(value == actualValue);\\n\\n System.out.println(\\\"Exiting testCalcTotalMethods\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ca2fc73cd83179402609318031d25e6\",\n \"score\": \"0.53605515\",\n \"text\": \"@Test(timeout = 4000)\\n public void test15() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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 \\n String string0 = resultMatrixLatex0.padString(\\\"hYJfl1$KCsmw,#u\\\", (-894));\\n assertEquals(\\\"hYJfl1$KCsmw,#u\\\", string0);\\n assertNotNull(string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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 \\n ResultMatrixLatex.main((String[]) null);\\n String string1 = resultMatrixLatex0.padString(\\\"-show-avg\\\", 0);\\n assertEquals(\\\"-show-avg\\\", 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(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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 \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixLatex0);\\n assertNotNull(resultMatrixHTML0);\\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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\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.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\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(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\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(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\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 \\n String string2 = resultMatrixHTML0.toStringMatrix();\\n assertEquals(\\\"<table border=\\\\\\\"1\\\\\\\" cellpadding=\\\\\\\"3\\\\\\\" cellspacing=\\\\\\\"0\\\\\\\">\\\\n <tr><td><b>Dataset</b></td><td align=\\\\\\\"center\\\\\\\" colspan=\\\\\\\"1\\\\\\\"><b>(1)</b></td></tr>\\\\n <tr><td>row0</td><td align=\\\\\\\"right\\\\\\\"> </td></tr>\\\\n <tr><td>($\\\\\\\\circ$/ /$\\\\\\\\bullet$)</td><td align=\\\\\\\"right\\\\\\\"> </td></tr>\\\\n</table>\\\\n\\\", string2);\\n assertNotNull(string2);\\n assertFalse(string2.equals((Object)string1));\\n assertFalse(string2.equals((Object)string0));\\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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\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.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\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(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\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(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\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 \\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\\n assertNotNull(resultMatrixSignificance0);\\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(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\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.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n \\n String string3 = resultMatrixSignificance0.toStringMatrix();\\n assertEquals(\\\"Dataset (1)\\\\n-------------------------\\\\nrow0 \\\\n\\\", string3);\\n assertNotNull(string3);\\n assertFalse(string3.equals((Object)string2));\\n assertFalse(string3.equals((Object)string1));\\n assertFalse(string3.equals((Object)string0));\\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(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\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.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n \\n resultMatrixSignificance0.m_ShowStdDev = false;\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\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.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n \\n resultMatrixSignificance0.m_PrintRowNames = false;\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\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.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n \\n int int0 = resultMatrixSignificance0.getDefaultStdDevWidth();\\n assertEquals(0, int0);\\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(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\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.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n \\n ResultMatrixLatex.main((String[]) null);\\n resultMatrixSignificance0.setColNameWidth((-894));\\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(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\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.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n \\n String string4 = resultMatrixHTML0.toString();\\n assertEquals(\\\"<table border=\\\\\\\"1\\\\\\\" cellpadding=\\\\\\\"3\\\\\\\" cellspacing=\\\\\\\"0\\\\\\\">\\\\n <tr><td><b>Dataset</b></td><td align=\\\\\\\"center\\\\\\\" colspan=\\\\\\\"1\\\\\\\"><b>(1)</b></td></tr>\\\\n <tr><td>row0</td><td align=\\\\\\\"right\\\\\\\"> </td></tr>\\\\n <tr><td>($\\\\\\\\circ$/ /$\\\\\\\\bullet$)</td><td align=\\\\\\\"right\\\\\\\"> </td></tr>\\\\n</table>\\\\n\\\", string4);\\n assertNotNull(string4);\\n assertTrue(string4.equals((Object)string2));\\n assertFalse(string4.equals((Object)string1));\\n assertFalse(string4.equals((Object)string3));\\n assertFalse(string4.equals((Object)string0));\\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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\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.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\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(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\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(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\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 \\n String string5 = resultMatrixLatex0.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\\\", string5);\\n assertNotNull(string5);\\n assertFalse(string5.equals((Object)string2));\\n assertFalse(string5.equals((Object)string1));\\n assertFalse(string5.equals((Object)string3));\\n assertFalse(string5.equals((Object)string0));\\n assertFalse(string5.equals((Object)string4));\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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 \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixSignificance0);\\n assertNotNull(resultMatrixCSV0);\\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(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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\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.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n \\n String string6 = resultMatrixCSV0.getDisplayName();\\n assertEquals(\\\"CSV\\\", string6);\\n assertNotNull(string6);\\n assertFalse(string6.equals((Object)string4));\\n assertFalse(string6.equals((Object)string1));\\n assertFalse(string6.equals((Object)string5));\\n assertFalse(string6.equals((Object)string2));\\n assertFalse(string6.equals((Object)string3));\\n assertFalse(string6.equals((Object)string0));\\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(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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\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.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n \\n resultMatrixCSV0.setEnumerateColNames(true);\\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(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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\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.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\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.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91532206fbc278b2eff19c86400bd439\",\n \"score\": \"0.53468627\",\n \"text\": \"@Test\\n public void test38() throws Throwable {\\n Complex complex0 = new Complex(Double.NaN);\\n Complex complex1 = complex0.sinh();\\n try { \\n complex0.nthRoot(0);\\n } catch(IllegalArgumentException e) {\\n //\\n // cannot compute nth root for null or negative n: 0\\n //\\n assertThrownBy(\\\"org.apache.commons.math3.complex.Complex\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b489d468ad2046ff6287d92776b75050\",\n \"score\": \"0.5345268\",\n \"text\": \"@Test\\n public void test03() throws Throwable {\\n RegulaFalsiSolver regulaFalsiSolver0 = new RegulaFalsiSolver(1491.428388);\\n Ceil ceil0 = new Ceil();\\n double double0 = regulaFalsiSolver0.solve(4186, (UnivariateRealFunction) ceil0, 0.0, 0.16666666666666666);\\n double double1 = regulaFalsiSolver0.doSolve();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa44b66462831b027215dee05e0c0481\",\n \"score\": \"0.53354394\",\n \"text\": \"@Test\\n //test 1\\n public void testCalcSearchArea() {\\n System.out.println(\\\"testCaseOne\\\");\\n double time = 6.0;\\n double speed = 70.0;\\n SearchAreaControl instance = new SearchAreaControl();\\n double expResult = 7.0;\\n double result = instance.calcSearchArea(time, speed);\\n assertEquals(expResult, result, 0.001);\\n\\n //test 2\\n System.out.println(\\\"testCasetwo\\\");\\n time = 15.0;\\n speed = 70.0;\\n\\n expResult = -1.0;\\n result = instance.calcSearchArea(time, speed);\\n assertEquals(expResult, result, 0.001);\\n\\n //test 3\\n System.out.println(\\\"testCaseThree\\\");\\n time = -5.0;\\n speed = 70.0;\\n\\n expResult = -1.0;\\n result = instance.calcSearchArea(time, speed);\\n assertEquals(expResult, result, 0.001);\\n\\n //test 4\\n System.out.println(\\\"testCaseFour\\\");\\n time = 6.0;\\n speed = 115.0;\\n\\n expResult = -2.0;\\n result = instance.calcSearchArea(time, speed);\\n assertEquals(expResult, result, 0.001);\\n\\n //test 5\\n System.out.println(\\\"testCaseFive\\\");\\n time = 6.0;\\n speed = 10.0;\\n\\n expResult = -2.0;\\n result = instance.calcSearchArea(time, speed);\\n assertEquals(expResult, result, 0.001);\\n\\n //test 6\\n System.out.println(\\\"testCaseSix\\\");\\n time = 10.0;\\n speed = 70.0;\\n\\n expResult = 11.6667; //problem here? maybe?\\n result = instance.calcSearchArea(time, speed);\\n assertEquals(expResult, result, 0.001);\\n\\n //test 7\\n System.out.println(\\\"testCaseSeven\\\");\\n time = 3.0;\\n speed = 70.0;\\n\\n expResult = 3.5;\\n result = instance.calcSearchArea(time, speed);\\n assertEquals(expResult, result, 0.001);\\n\\n //test 8\\n System.out.println(\\\"testCaseEight\\\");\\n time = 6.0;\\n speed = 100.0;\\n\\n expResult = 10.0;\\n result = instance.calcSearchArea(time, speed);\\n assertEquals(expResult, result, 0.001);\\n\\n //test 9\\n System.out.println(\\\"testCaseNine\\\");\\n time = 6.0;\\n speed = 25.0;\\n\\n expResult = 2.5;\\n result = instance.calcSearchArea(time, speed);\\n assertEquals(expResult, result, 0.001);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0d318a8928095a35138b9acaa39ed76\",\n \"score\": \"0.5328587\",\n \"text\": \"@Test\\n \\tpublic void testsquareOfSums10() throws MathException {\\n \\t\\tassertTrue(\\\"Was not 3025, got\\\" + GeneralMath.squareOfSums(10) , GeneralMath.squareOfSums(10) == 3025);\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f82d251c17572ca2bfc0507adfb393f0\",\n \"score\": \"0.5325447\",\n \"text\": \"@Test(timeout = 4000)\\n public void test117() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixLatex0);\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\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 display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\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 \\n int int0 = resultMatrixLatex0.getRowCount();\\n assertEquals(1, int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\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 display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\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 \\n resultMatrixLatex0.m_ColNameWidth = 1;\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\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 display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\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 \\n int[] intArray0 = resultMatrixLatex0.getColOrder();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNull(intArray0);\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\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 display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\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 \\n resultMatrixLatex0.m_RowOrder = null;\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\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 display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\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 \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(2, 1366);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixCSV0);\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(1366, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\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 maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixCSV0.getColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(1366, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\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 \\n resultMatrixLatex0.m_StdDevPrec = 1;\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\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 display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\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 \\n resultMatrixLatex0.m_EnumerateColNames = true;\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\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 display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\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 \\n String string0 = resultMatrixLatex0.padString(\\\"]\\\", 2731, true);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(string0);\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\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 display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\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 \\n ResultMatrixHTML resultMatrixHTML0 = null;\\n try {\\n resultMatrixHTML0 = new ResultMatrixHTML(2731, (-2855));\\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\": \"cf24c4eff94763328de5c5922ec29fc9\",\n \"score\": \"0.53221774\",\n \"text\": \"@Test(timeout = 4000)\\n public void test058() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to 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.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n \\n resultMatrixLatex0.WIN_STRING = \\\"Generates the output as plain text (for fixed width fonts).\\\";\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to 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.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n \\n resultMatrixLatex0.clearSummary();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to 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.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n \\n boolean boolean0 = resultMatrixLatex0.getRemoveFilterName();\\n assertFalse(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to 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.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n \\n boolean boolean1 = resultMatrixLatex0.getDefaultShowStdDev();\\n assertFalse(boolean1);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertTrue(boolean1 == boolean0);\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to 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.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n \\n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\\n assertNotNull(resultMatrixLatex1);\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex1.countWidthTipText());\\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex1.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex1.meanPrecTipText());\\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex1.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex1.printRowNamesTipText());\\n assertEquals(1, resultMatrixLatex1.getVisibleColCount());\\n assertTrue(resultMatrixLatex1.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex1.colNameWidthTipText());\\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex1.getPrintColNames());\\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex1.meanWidthTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex1.globalInfo());\\n assertFalse(resultMatrixLatex1.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex1.showStdDevTipText());\\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex1.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex1.significanceWidthTipText());\\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\\n assertEquals(1, resultMatrixLatex1.getRowCount());\\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex1.getShowAverage());\\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex1.getVisibleRowCount());\\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 \\n double double0 = resultMatrixLatex1.getStdDev((-858), (-695));\\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(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\\n assertNotSame(resultMatrixLatex1, resultMatrixLatex0);\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex1.countWidthTipText());\\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex1.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex1.meanPrecTipText());\\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex1.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex1.printRowNamesTipText());\\n assertEquals(1, resultMatrixLatex1.getVisibleColCount());\\n assertTrue(resultMatrixLatex1.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex1.colNameWidthTipText());\\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex1.getPrintColNames());\\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex1.meanWidthTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex1.globalInfo());\\n assertFalse(resultMatrixLatex1.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex1.showStdDevTipText());\\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex1.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex1.significanceWidthTipText());\\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\\n assertEquals(1, resultMatrixLatex1.getRowCount());\\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex1.getShowAverage());\\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex1.getVisibleRowCount());\\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 \\n resultMatrixLatex0.setStdDev(1, 0, 2);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixLatex0.equals((Object)resultMatrixLatex1));\\n assertNotSame(resultMatrixLatex0, resultMatrixLatex1);\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to 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.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"817850a14fb79ababc16cdd02cf2e324\",\n \"score\": \"0.53193074\",\n \"text\": \"@Test(timeout = 4000)\\n public void test16() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\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 assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n \\n resultMatrixLatex0.setMeanWidth((-1));\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\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 assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n \\n String string0 = resultMatrixLatex0.toStringRanking();\\n assertEquals(\\\"-ranking data not set-\\\", string0);\\n assertNotNull(string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\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 assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n \\n int int0 = resultMatrixLatex0.getVisibleColCount();\\n assertEquals(1, int0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\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 assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n \\n resultMatrixLatex0.setShowStdDev(false);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\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 assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n \\n int int1 = resultMatrixLatex0.getSignificanceCount(227, 0);\\n assertEquals(0, int1);\\n assertFalse(int1 == int0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\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 assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(2, 227);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\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 maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(227, resultMatrixHTML0.getRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\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 assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(227, resultMatrixHTML0.getVisibleRowCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n \\n boolean boolean0 = resultMatrixHTML0.getDefaultPrintColNames();\\n assertFalse(boolean0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\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 maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(227, resultMatrixHTML0.getRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\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 assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(227, resultMatrixHTML0.getVisibleRowCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n \\n int[][] intArray0 = new int[7][5];\\n int[] intArray1 = new int[3];\\n intArray1[0] = 0;\\n intArray1[1] = 1;\\n intArray1[2] = (-1);\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[1];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 2;\\n intArray0[1] = intArray2;\\n int[] intArray3 = new int[2];\\n assertFalse(intArray3.equals((Object)intArray1));\\n assertFalse(intArray3.equals((Object)intArray2));\\n \\n intArray3[0] = 0;\\n intArray3[1] = 0;\\n intArray0[2] = intArray3;\\n int[] intArray4 = new int[5];\\n assertFalse(intArray4.equals((Object)intArray3));\\n assertFalse(intArray4.equals((Object)intArray1));\\n assertFalse(intArray4.equals((Object)intArray2));\\n \\n intArray4[0] = 0;\\n intArray4[1] = 0;\\n intArray4[2] = 1;\\n intArray4[3] = (-2308);\\n intArray4[4] = 1;\\n intArray0[3] = intArray4;\\n int[] intArray5 = new int[2];\\n assertFalse(intArray5.equals((Object)intArray1));\\n assertFalse(intArray5.equals((Object)intArray2));\\n assertFalse(intArray5.equals((Object)intArray4));\\n assertFalse(intArray5.equals((Object)intArray3));\\n \\n intArray5[0] = 1;\\n intArray5[1] = 2;\\n intArray0[4] = intArray5;\\n int[] intArray6 = new int[4];\\n assertFalse(intArray6.equals((Object)intArray5));\\n assertFalse(intArray6.equals((Object)intArray1));\\n assertFalse(intArray6.equals((Object)intArray4));\\n assertFalse(intArray6.equals((Object)intArray2));\\n assertFalse(intArray6.equals((Object)intArray3));\\n \\n intArray6[0] = (-2308);\\n intArray6[1] = 231;\\n intArray6[2] = 2;\\n intArray6[3] = 0;\\n intArray0[5] = intArray6;\\n int[] intArray7 = new int[2];\\n assertFalse(intArray7.equals((Object)intArray2));\\n assertFalse(intArray7.equals((Object)intArray3));\\n assertFalse(intArray7.equals((Object)intArray1));\\n assertFalse(intArray7.equals((Object)intArray6));\\n assertFalse(intArray7.equals((Object)intArray5));\\n assertFalse(intArray7.equals((Object)intArray4));\\n \\n intArray7[0] = 227;\\n intArray7[1] = 1;\\n intArray0[6] = intArray7;\\n resultMatrixLatex0.setRanking(intArray0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\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 assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(7, intArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23beb1d114c3f6cf17aaecaacc884fae\",\n \"score\": \"0.5317754\",\n \"text\": \"@Test(timeout = 4000)\\n public void test116() throws Throwable {\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n \\n String string0 = resultMatrixCSV0.toStringKey();\\n assertEquals(\\\"Key,\\\\n[1],col0\\\\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, resultMatrixCSV0.getCountWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n \\n String string1 = resultMatrixCSV0.stdDevPrecTipText();\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", string1);\\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(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n \\n String string2 = resultMatrixCSV0.meanPrecTipText();\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", string2);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(string2.equals((Object)string0));\\n assertFalse(string2.equals((Object)string1));\\n assertNotNull(string2);\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(1, 1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\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 assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getColNameWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\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(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n \\n boolean[] booleanArray0 = new boolean[9];\\n booleanArray0[0] = false;\\n booleanArray0[1] = true;\\n booleanArray0[2] = false;\\n booleanArray0[3] = false;\\n booleanArray0[4] = true;\\n booleanArray0[5] = false;\\n booleanArray0[6] = false;\\n booleanArray0[7] = true;\\n booleanArray0[8] = false;\\n resultMatrixHTML0.m_ColHidden = booleanArray0;\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\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 assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getColNameWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\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(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n \\n resultMatrixHTML0.m_StdDevWidth = (-111);\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals((-111), resultMatrixHTML0.getStdDevWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\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 assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getColNameWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\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(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n \\n boolean boolean0 = resultMatrixHTML0.getDefaultPrintColNames();\\n assertFalse(boolean0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals((-111), resultMatrixHTML0.getStdDevWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\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 assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getColNameWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\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(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7f2915c8f095bb2161dd82e9e887cd0\",\n \"score\": \"0.5296073\",\n \"text\": \"@Test(timeout = 4000)\\n public void test027() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n resultMatrixLatex0.setStdDevPrec(47);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(47, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n String string0 = resultMatrixLatex0.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\\\", string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(string0);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(47, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n resultMatrixLatex0.setMeanPrec(47);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(47, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(47, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(47, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(47, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n \\n String string1 = resultMatrixGnuPlot0.toStringRanking();\\n assertEquals(\\\"-ranking data not set-\\\", string1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(string1.equals((Object)string0));\\n assertNotNull(string1);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(47, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(47, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n \\n String string2 = resultMatrixGnuPlot0.getDisplayName();\\n assertEquals(\\\"GNUPlot\\\", string2);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(string2.equals((Object)string1));\\n assertFalse(string2.equals((Object)string0));\\n assertNotNull(string2);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(47, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(47, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n \\n String[] stringArray0 = new String[0];\\n ResultMatrixHTML.main(stringArray0);\\n assertEquals(0, stringArray0.length);\\n \\n boolean boolean0 = resultMatrixGnuPlot0.getDefaultEnumerateColNames();\\n assertFalse(boolean0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(47, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(47, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n \\n int int0 = resultMatrixLatex0.getColNameWidth();\\n assertEquals(0, int0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(47, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(47, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n int int1 = resultMatrixGnuPlot0.getStdDevWidth();\\n assertEquals(0, int1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertTrue(int1 == int0);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(47, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(47, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n \\n resultMatrixLatex0.m_StdDevPrec = 1;\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(47, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n resultMatrixLatex0.clear();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n int[] intArray0 = new int[6];\\n intArray0[0] = 1;\\n intArray0[1] = 1;\\n intArray0[2] = 1;\\n intArray0[3] = 0;\\n intArray0[4] = 2;\\n intArray0[5] = 2;\\n resultMatrixLatex0.m_RankingWins = intArray0;\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n String string3 = resultMatrixLatex0.getRowName(37);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNull(string3);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n resultMatrixLatex0.m_StdDevWidth = 2114;\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2114, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n String string4 = resultMatrixLatex0.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\\\", string4);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertTrue(string4.equals((Object)string0));\\n assertFalse(string4.equals((Object)string2));\\n assertFalse(string4.equals((Object)string1));\\n assertNotNull(string4);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2114, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n int int2 = resultMatrixLatex0.getVisibleRowCount();\\n assertEquals(1, int2);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(int2 == int0);\\n assertFalse(int2 == int1);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2114, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n String string5 = resultMatrixGnuPlot0.padString(\\\"\\\\begin{table}[thb]\\\\ncaption{label{labelname}Table Caption}\\\\n\\\\footnotesize\\\\n{centering \\\\begin{tabular}{lr}\\\\n\\\\\\\\\\\\nhline\\\\nDataset & (1)\\\\\\\\\\\\nhline\\\\nrow0 & \\\\\\\\\\\\nhline\\\\nmulticolumn{2}{c}{$circ$, $\\\\bullet$ statistically significant improvement or degradation}\\\\\\\\\\\\nend{tabular} \\\\footnotesize par}\\\\nend{table}\\\\n\\\", 0);\\n assertEquals(\\\"\\\\begin{table}[thb]\\\\ncaption{label{labelname}Table Caption}\\\\n\\\\footnotesize\\\\n{centering \\\\begin{tabular}{lr}\\\\n\\\\\\\\\\\\nhline\\\\nDataset & (1)\\\\\\\\\\\\nhline\\\\nrow0 & \\\\\\\\\\\\nhline\\\\nmulticolumn{2}{c}{$circ$, $\\\\bullet$ statistically significant improvement or degradation}\\\\\\\\\\\\nend{tabular} \\\\footnotesize par}\\\\nend{table}\\\\n\\\", string5);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(string5.equals((Object)string1));\\n assertFalse(string5.equals((Object)string0));\\n assertFalse(string5.equals((Object)string2));\\n assertFalse(string5.equals((Object)string4));\\n assertNotNull(string5);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2114, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n \\n double double0 = resultMatrixGnuPlot0.getMean(1, 0);\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2114, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n \\n resultMatrixGnuPlot0.setColNameWidth(2);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2114, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n \\n resultMatrixLatex0.m_SignificanceWidth = (-1);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2114, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals((-1), resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n \\n int int3 = resultMatrixGnuPlot0.getStdDevPrec();\\n assertEquals(47, int3);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(int3 == int0);\\n assertFalse(int3 == int1);\\n assertFalse(int3 == int2);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2114, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals((-1), resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n \\n String string6 = resultMatrixGnuPlot0.removeFilterNameTipText();\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", string6);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(string6.equals((Object)string4));\\n assertFalse(string6.equals((Object)string0));\\n assertFalse(string6.equals((Object)string5));\\n assertFalse(string6.equals((Object)string2));\\n assertFalse(string6.equals((Object)string1));\\n assertNotNull(string6);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2114, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals((-1), resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n \\n String string7 = resultMatrixGnuPlot0.printRowNamesTipText();\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", string7);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(string7.equals((Object)string6));\\n assertFalse(string7.equals((Object)string0));\\n assertFalse(string7.equals((Object)string2));\\n assertFalse(string7.equals((Object)string1));\\n assertFalse(string7.equals((Object)string5));\\n assertFalse(string7.equals((Object)string4));\\n assertNotNull(string7);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2114, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\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 assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\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 width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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 mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals((-1), resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(47, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\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 assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\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(47, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a4e78bea4c7dc098fcb4d59c87947746\",\n \"score\": \"0.5288711\",\n \"text\": \"@Test\\n void testAPlusBPlusC() {\\n {\\n final BigComplex br1 = new BigComplex(new BigRational(\\\"1\\\"), new BigRational(\\\"2\\\"));\\n final BigComplex br2 = new BigComplex(new BigRational(\\\"2\\\"), new BigRational(\\\"4\\\"));\\n final BigComplex br3 = new BigComplex(new BigRational(\\\"3\\\"), new BigRational(\\\"6\\\"));\\n final BigComplex r1 = new BigComplex(new BigRational(\\\"6\\\"), new BigRational(\\\"12\\\"));\\n Assertions.assertEquals(r1, br1.add(br2.add(br3)));\\n Assertions.assertEquals(r1, br1.add(br2).add(br3));\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"acb258a77e41efedce06140b46015f95\",\n \"score\": \"0.52885425\",\n \"text\": \"@Test\\n public void test02() throws Throwable {\\n RegulaFalsiSolver regulaFalsiSolver0 = new RegulaFalsiSolver(4.455505956692757);\\n Ceil ceil0 = new Ceil();\\n double double0 = regulaFalsiSolver0.solve(4297, (UnivariateRealFunction) ceil0, (-1387.66), 4.455505956692757, (double) 4297);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b5eb022e0e133bd02aabd10e96878529\",\n \"score\": \"0.52822804\",\n \"text\": \"@Test(timeout = 4000)\\n public void test061() throws Throwable {\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(3, 3);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n \\n resultMatrixCSV0.setEnumerateColNames(true);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n \\n String string0 = resultMatrixCSV0.toStringRanking();\\n assertEquals(\\\"-ranking 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 assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n \\n double double0 = resultMatrixCSV0.getAverage(3);\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n \\n String string1 = resultMatrixCSV0.getRowName(1423);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNull(string1);\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixCSV0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\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(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\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).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(3, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(3, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(3, resultMatrixPlainText0.getColCount());\\n assertEquals(3, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n \\n resultMatrixPlainText0.WIN_STRING = \\\"col-name-width\\\";\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\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).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(3, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(3, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(3, resultMatrixPlainText0.getColCount());\\n assertEquals(3, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n \\n String string2 = resultMatrixPlainText0.toStringRanking();\\n assertEquals(\\\"-ranking data not set-\\\", string2);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\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(string2);\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\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).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(3, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(3, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(3, resultMatrixPlainText0.getColCount());\\n assertEquals(3, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\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(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\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(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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 \\n String string3 = resultMatrixLatex0.getDisplayName();\\n assertEquals(\\\"LaTeX\\\", string3);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(string3.equals((Object)string2));\\n assertFalse(string3.equals((Object)string0));\\n assertNotNull(string3);\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\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(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\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(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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 \\n resultMatrixLatex0.LOSS_STRING = \\\"[\\\";\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\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(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\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(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\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 \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(1, 363);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\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(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(363, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(363, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\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 assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n \\n resultMatrixHTML0.setSize(1, 2);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\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(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\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 assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n \\n Enumeration enumeration0 = resultMatrixHTML0.listOptions();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(enumeration0);\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\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(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\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 assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n \\n resultMatrixCSV0.m_StdDevWidth = 366;\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(366, resultMatrixCSV0.getStdDevWidth());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n \\n String string4 = resultMatrixHTML0.getDisplayName();\\n assertEquals(\\\"HTML\\\", string4);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(string4.equals((Object)string0));\\n assertFalse(string4.equals((Object)string3));\\n assertFalse(string4.equals((Object)string2));\\n assertNotNull(string4);\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\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(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\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 assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n \\n int int0 = resultMatrixPlainText0.getDefaultStdDevPrec();\\n assertEquals(2, int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\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(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(366, resultMatrixCSV0.getStdDevWidth());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\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).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(3, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(3, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(3, resultMatrixPlainText0.getColCount());\\n assertEquals(3, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n \\n int[] intArray0 = new int[4];\\n intArray0[0] = 1;\\n intArray0[1] = 8;\\n intArray0[2] = 366;\\n intArray0[3] = 2;\\n resultMatrixPlainText0.setRowOrder(intArray0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\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(4, intArray0.length);\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(3, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(366, resultMatrixCSV0.getStdDevWidth());\\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(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(3, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\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 assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(3, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\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).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(3, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(3, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(3, resultMatrixPlainText0.getColCount());\\n assertEquals(3, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertArrayEquals(new int[] {1, 8, 366, 2}, intArray0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d33ff54f2c270eadc1a55e33be27189f\",\n \"score\": \"0.5279951\",\n \"text\": \"@Test(timeout = 4000)\\n public void test030() 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 ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(1, 59);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixCSV0);\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\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(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\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 assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(59, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\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 assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(59, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixCSV0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixLatex0);\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\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(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\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 assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(59, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\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 assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(59, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\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(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\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 assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(59, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(59, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n \\n double double0 = resultMatrixLatex0.getStdDev(0, 59);\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\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(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\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 assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(59, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\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 assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(59, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\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(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\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 assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(59, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(59, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n \\n resultMatrixCSV0.setCountWidth(375);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\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(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(375, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\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 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 assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(59, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\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 assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(59, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n \\n resultMatrixLatex0.setStdDev(1, 26, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\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(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(375, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\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 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 assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(59, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\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 assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(59, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\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(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\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 assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(59, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(59, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n \\n int[] intArray0 = new int[6];\\n intArray0[0] = 1;\\n intArray0[1] = 2;\\n intArray0[2] = 26;\\n intArray0[3] = 2028;\\n intArray0[4] = 0;\\n intArray0[5] = 46;\\n resultMatrixLatex0.setColOrder(intArray0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(6, intArray0.length);\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\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(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(375, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\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 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 assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(59, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\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 assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(59, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\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(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\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 assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(59, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(59, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertArrayEquals(new int[] {1, 2, 26, 2028, 0, 46}, intArray0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"49a2204def9a2a0ae09d2d409cc9ed8e\",\n \"score\": \"0.52783424\",\n \"text\": \"@Test(timeout = 4000)\\n public void test009() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n \\n resultMatrixLatex0.RIGHT_PARENTHESES = null;\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n \\n String string0 = resultMatrixLatex0.toString();\\n assertEquals(\\\"\\\\\\\\begin{table}[thb]\\\\n\\\\\\\\caption{\\\\\\\\label{labelname}Table Caption}\\\\n\\\\\\\\footnotesize\\\\n{\\\\\\\\centering \\\\\\\\begin{tabular}{lr}\\\\n\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\nDataset & (1null\\\\\\\\\\\\\\\\\\\\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\\\", 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, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n \\n resultMatrixLatex0.m_SignificanceWidth = 3;\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n \\n resultMatrixLatex0.m_ColNameWidth = 787;\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(787, resultMatrixLatex0.getColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n \\n int int0 = resultMatrixLatex0.getColNameWidth();\\n assertEquals(787, int0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(787, resultMatrixLatex0.getColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n \\n boolean boolean0 = resultMatrixLatex0.getPrintColNames();\\n assertFalse(boolean0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(3, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(787, resultMatrixLatex0.getColNameWidth());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n \\n resultMatrixLatex0.clear();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n \\n resultMatrixLatex0.m_Mean = null;\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n \\n resultMatrixLatex0.addHeader(\\\"rIUq;ds+J\\\", \\\"UUyPJ>\\\");\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n \\n String string1 = resultMatrixLatex0.meanPrecTipText();\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", string1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(string1.equals((Object)string0));\\n assertNotNull(string1);\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n \\n String[] stringArray0 = new String[6];\\n stringArray0[0] = \\\":9AM`26,\\\";\\n stringArray0[1] = null;\\n stringArray0[2] = \\\"\\\\begin{table}[thb]\\\\ncaption{label{labelname}Table Caption}\\\\n\\\\footnotesize\\\\n{centering \\\\begin{tabular}{lr}\\\\n\\\\\\\\\\\\nhline\\\\nDataset & (1null\\\\\\\\\\\\nhline\\\\nrow0 & \\\\\\\\\\\\nhline\\\\nmulticolumn{2}{c}{$circ$, $\\\\bullet$ statistically significant improvement or degradation}\\\\\\\\\\\\nend{tabular} \\\\footnotesize par}\\\\nend{table}\\\\n\\\";\\n stringArray0[3] = null;\\n stringArray0[4] = \\\"\\\\begin{table}[thb]\\\\ncaption{label{labelname}Table Caption}\\\\n\\\\footnotesize\\\\n{centering \\\\begin{tabular}{lr}\\\\n\\\\\\\\\\\\nhline\\\\nDataset & (1null\\\\\\\\\\\\nhline\\\\nrow0 & \\\\\\\\\\\\nhline\\\\nmulticolumn{2}{c}{$circ$, $\\\\bullet$ statistically significant improvement or degradation}\\\\\\\\\\\\nend{tabular} \\\\footnotesize par}\\\\nend{table}\\\\n\\\";\\n stringArray0[5] = \\\"(\\\";\\n ResultMatrixHTML.main(stringArray0);\\n assertEquals(6, stringArray0.length);\\n \\n int int1 = resultMatrixLatex0.getDefaultRowNameWidth();\\n assertEquals(0, int1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(int1 == int0);\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\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.getDefaultMeanPrec());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, 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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n \\n ResultMatrixCSV resultMatrixCSV0 = null;\\n try {\\n resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixLatex0);\\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\": \"6cd7610a081d09f91618f3b77865c988\",\n \"score\": \"0.5275876\",\n \"text\": \"@Test(timeout = 4000)\\n public void test036() 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(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\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 assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\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(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\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 assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n \\n int[][] intArray0 = new int[3][2];\\n resultMatrixSignificance0.m_NonSigWins = intArray0;\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\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 assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\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(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\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 assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\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(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\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 assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\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(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\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 assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n \\n intArray2[5] = 1;\\n intArray2[6] = 2;\\n intArray0[1] = intArray2;\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1823);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(1823, resultMatrixCSV0.getRowCount());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(1823, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\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.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n \\n String string1 = resultMatrixCSV0.getDisplayName();\\n assertEquals(\\\"CSV\\\", string1);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(string1);\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(1823, resultMatrixCSV0.getRowCount());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(1823, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\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.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n \\n resultMatrixCSV0.setMean(0, 2, 2138);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(1823, resultMatrixCSV0.getRowCount());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\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.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1104615beac9597d26127e6d95f5e018\",\n \"score\": \"0.5267741\",\n \"text\": \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\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(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\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(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\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.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, 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 remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n \\n int[][] intArray0 = new int[10][8];\\n resultMatrixLatex0.setRanking(intArray0);\\n assertEquals(10, intArray0.length);\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\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(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\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(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\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.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, 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 remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n \\n boolean boolean0 = resultMatrixLatex0.getRemoveFilterName();\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\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(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\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(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\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.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, 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 remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(boolean0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4cab11f9522cf8bbb1107ae7771a5a85\",\n \"score\": \"0.52642834\",\n \"text\": \"@Test\\n\\tpublic void getCohesionTest() {\\n\\t\\tAssert.assertEquals(((double)4/6 + 1 + 0.5)/3, CohesionCalculator.getCohesion(), 0);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"15e39cf25683fe5b349a35dfbaf39be7\",\n \"score\": \"0.5262358\",\n \"text\": \"@Test\\n public void test() {\\n\\n\\n\\n\\n Solution solution = new Solution();\\n\\n /*Assert.assertEquals(16 / 2, solution.divide(16, 2));\\n Assert.assertEquals(17 / 9, solution.divide(17, 9));\\n Assert.assertEquals(15 / 9, solution.divide(17, 9));\\n Assert.assertEquals(30 / 4, solution.divide(-30, -4));\\n Assert.assertEquals(5, solution.divide(-30, -6));\\n Assert.assertEquals(6, solution.divide(-30, -5));\\n Assert.assertEquals(15, solution.divide(-30, -2));\\n Assert.assertEquals(-5, solution.divide(30, -6));\\n Assert.assertEquals(-6, solution.divide(30, -5));\\n Assert.assertEquals(-15, solution.divide(30, -2));*/\\n Assert.assertEquals(-1073741824, solution.divide(-2147483648,2));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9995ec1384a29e0899cc05e320aeedd5\",\n \"score\": \"0.52594113\",\n \"text\": \"@Test(timeout = 4000)\\n public void test109() throws Throwable {\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 0);\\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.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\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(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\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(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n \\n resultMatrixCSV0.m_PrintColNames = false;\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\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(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\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(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n \\n String string0 = resultMatrixCSV0.toStringSummary();\\n assertEquals(\\\"-summary data not set-\\\", 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.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\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(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\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(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n \\n resultMatrixCSV0.setSignificanceWidth(0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\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(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\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(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n \\n resultMatrixCSV0.setRowNameWidth(0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\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(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\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(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n \\n String string1 = resultMatrixCSV0.removeFilterName((String) null);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNull(string1);\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\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(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\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(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n \\n Enumeration enumeration0 = resultMatrixCSV0.listOptions();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(enumeration0);\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\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(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\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(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n \\n String[] stringArray0 = resultMatrixCSV0.getOptions();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(stringArray0);\\n assertEquals(18, stringArray0.length);\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\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(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\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(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n \\n boolean boolean0 = resultMatrixCSV0.getDefaultEnumerateColNames();\\n assertTrue(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\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(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\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(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n \\n double double0 = resultMatrixCSV0.getCount(3269);\\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(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\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(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\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(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6408a81239517176d3619eb06db24f5\",\n \"score\": \"0.52522135\",\n \"text\": \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\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 assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getPrintColNames());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\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.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\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 assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n \\n int[][] intArray0 = new int[0][0];\\n resultMatrixHTML0.setRanking(intArray0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, intArray0.length);\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getPrintColNames());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\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.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\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 assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\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 <tr><td><b>(1)</b></td><td>col0</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 assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getPrintColNames());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\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.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\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 assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\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(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n \\n int int0 = resultMatrixCSV0.getDefaultRowNameWidth();\\n assertEquals(25, int0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n \\n String string1 = resultMatrixHTML0.getRevision();\\n assertEquals(\\\"8034\\\", string1);\\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 assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getPrintColNames());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\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.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\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 assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n \\n resultMatrixHTML0.setShowAverage(true);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getPrintColNames());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\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.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\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 assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n \\n double double0 = resultMatrixCSV0.getMean(1949, 2);\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n \\n String string2 = resultMatrixCSV0.getDisplayName();\\n assertEquals(\\\"CSV\\\", string2);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(string2.equals((Object)string1));\\n assertFalse(string2.equals((Object)string0));\\n assertNotNull(string2);\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n \\n resultMatrixHTML0.m_NonSigWins = intArray0;\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getPrintColNames());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\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.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\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 assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n \\n resultMatrixCSV0.setMean(0, 1, 1453.095346975402);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n \\n int int1 = resultMatrixHTML0.getSignificance((-63), 1);\\n assertEquals(0, int1);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(int1 == int0);\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\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.getPrintColNames());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\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.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\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 assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc2c767bda84c7916c9121754f343542\",\n \"score\": \"0.5251765\",\n \"text\": \"@Test(timeout = 4000)\\n public void test089() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixLatex0);\\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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n resultMatrixLatex0.clearSummary();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n boolean boolean0 = resultMatrixLatex0.getRemoveFilterName();\\n assertFalse(boolean0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\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 assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\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.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\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 assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\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(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixPlainText0);\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\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.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\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 assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\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(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\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 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 maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\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 assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n \\n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex(resultMatrixLatex0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\\n assertNotNull(resultMatrixLatex1);\\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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex1.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixLatex1.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex1.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex1.globalInfo());\\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex1.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex1.meanPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex1.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex1.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex1.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex1.meanWidthTipText());\\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex1.getVisibleRowCount());\\n assertEquals(1, resultMatrixLatex1.getColCount());\\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex1.countWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\\n assertTrue(resultMatrixLatex1.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex1.getCountWidth());\\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixLatex1.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex1.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex1.printColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex1.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex1.getPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex1.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex1.getShowStdDev());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex1.getDisplayName());\\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\\n \\n String string0 = resultMatrixLatex1.getRevision();\\n assertEquals(\\\"8034\\\", string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixLatex0.equals((Object)resultMatrixLatex1));\\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\\n assertNotSame(resultMatrixLatex0, resultMatrixLatex1);\\n assertNotSame(resultMatrixLatex1, resultMatrixLatex0);\\n assertNotNull(string0);\\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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex1.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixLatex1.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex1.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex1.globalInfo());\\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex1.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex1.meanPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex1.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex1.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex1.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex1.meanWidthTipText());\\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex1.getVisibleRowCount());\\n assertEquals(1, resultMatrixLatex1.getColCount());\\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex1.countWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\\n assertTrue(resultMatrixLatex1.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex1.getCountWidth());\\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixLatex1.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex1.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex1.printColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex1.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex1.getPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex1.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex1.getShowStdDev());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex1.getDisplayName());\\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\\n \\n resultMatrixLatex0.setColOrder((int[]) null);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixLatex0.equals((Object)resultMatrixLatex1));\\n assertNotSame(resultMatrixLatex0, resultMatrixLatex1);\\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 assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d810c5d5d65045b493d61d9dab3b8ba\",\n \"score\": \"0.5251131\",\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]","isConversational":false}}},{"rowIdx":983392,"cells":{"query_id":{"kind":"string","value":"77ef293b92a5fa01f55e989bdd5013c1"},"query":{"kind":"string","value":"Get the distance from previous waypoint to this one"},"positive_passages":{"kind":"list like","value":[{"docid":"019f5c48c736d72699ecde4590cb8f43","score":"0.58214533","text":"public Integer getWaypointDistance(int idx){\n\t\tif(idx<0 || idx>=this.waypoints.size()) return null;\n\t\treturn this.distance.get(idx);\n\t}","title":""}],"string":"[\n {\n \"docid\": \"019f5c48c736d72699ecde4590cb8f43\",\n \"score\": \"0.58214533\",\n \"text\": \"public Integer getWaypointDistance(int idx){\\n\\t\\tif(idx<0 || idx>=this.waypoints.size()) return null;\\n\\t\\treturn this.distance.get(idx);\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"19ba33d241d84ecc51f9d9645c35d4c9","score":"0.65276575","text":"public Pair<Direction, Integer> getDistance(Waypoint other) {\n\n Pair<Direction, Integer> result = null;\n if (other.absoluteX == this.absoluteX) {\n result = getDistance(other, 0, Direction.North);\n result = result != null ? result : getDistance(other, 0,\n Direction.South);\n } else if (other.absoluteY == this.absoluteY) {\n result = getDistance(other, 0, Direction.East);\n result = result != null ? result : getDistance(other, 0,\n Direction.West);\n }\n return result;\n }","title":""},{"docid":"c6c5f9e83f932dfe60c04a16073eb4b9","score":"0.64901966","text":"public double getTravelledDistance() {\r\n\t\treturn this.travelledDistance;\r\n\t}","title":""},{"docid":"7503dc7ed5043301ba665475d59e4828","score":"0.6472885","text":"public double getDistance(){\n long diff = getDelay();\n if(diff >= 0){\n double meters = (diff)*(speedOfSoundInAir/1000.0);\n return meters;\n }\n return -1;\n }","title":""},{"docid":"a791bd2a67437b4eb5ed027678e93c99","score":"0.6316406","text":"public int getDistance(){\n if (distance == 0) {\n int tripDistance = 0;\n // Loop through our trip's cities\n for (int cityIndex=0; cityIndex < tripSize(); cityIndex++) {\n // Get city we're travelling from\n City fromCity = getCity(cityIndex);\n // City we're travelling to\n City destinationCity;\n // Check we're not on our trip's last city, if we are set our\n // trip's final destination city to our starting city\n if(cityIndex + 1 < tripSize()){\n destinationCity = getCity(cityIndex+1);\n } else {\n destinationCity = getCity(0);\n }\n // Get the distance between the two cities\n tripDistance += fromCity.distanceTo(destinationCity);\n }\n distance = tripDistance;\n }\n return distance;\n }","title":""},{"docid":"f9d2baa13cbf166fcaf7db6132894c4a","score":"0.6315423","text":"public double getRoutDistanceThirdWay(){\n\n double distance=0.00;\n List<UserLocation> userLocations = DatabaseManager.getInstance().getUserLocationList(PreferenceManager.getInstance(this).getRouteId());\n\n if(userLocations.size()>0){\n\n for(int i=0;i<userLocations.size();i++){\n if((i+1)<userLocations.size()){\n UserLocation userLocationA = userLocations.get(i);\n UserLocation userLocationB = userLocations.get(i+1);\n\n distance = distance + + Utility.distanceInKilometers(userLocationA.getLatitude(),userLocationA.getLongitude(),\n userLocationB.getLatitude(),userLocationB.getLongitude());\n }\n }\n\n }\n return distance;\n }","title":""},{"docid":"e1e2dc53c23049a879a7a32f36b0d293","score":"0.6308217","text":"public float getDistance()\n {\n float distance = 0;\n List<LatLng> positions = this.getmPositions();\n for (int i = 0 ; i < positions.size() - 1 ; i++ )\n {\n Location A = new Location(\"A\");\n A.setLatitude( positions.get(i).latitude );\n A.setLongitude(positions.get(i).longitude);\n Location B = new Location(\"B\");\n B.setLatitude(positions.get(i + 1).latitude);\n B.setLongitude(positions.get(i + 1).longitude);\n\n distance += A.distanceTo(B);\n }\n return distance;\n }","title":""},{"docid":"87bb69aacc8a062c5b897074a1dd7774","score":"0.6283632","text":"public int getDistance(){\n Destination currentDest;\n Destination nextDest;\n int totalDist = 0;\n\n if(routeSize() <= 1){\n return totalDist;\n }\n\n for(int i = 0; i < routeSize() - 1; i++){\n currentDest = getDest(i);\n nextDest = getDest(i+1);\n if(currentDest == null){\n System.out.println(\"Current: \" + currentDest + \", Next: \" + nextDest);\n System.out.println(toString());\n\n }\n totalDist += currentDest.distanceTo(nextDest); \n }\n return totalDist;\n }","title":""},{"docid":"7cc62bdaa1cbd31d2d9ef12d58ecf3cf","score":"0.62559044","text":"public static double lastDistanceCorrection(){\r\n\t\tif (last == null) return 0;\r\n\t\tdouble off = last.distanceTo(odometer.getPose().getLocation()) - Main.TILE_WIDTH/2f - Y_OFFSET;\r\n\t\tlast = null;\r\n\t\treturn (off > Main.TILE_WIDTH/3f) ? 0 : -off;\r\n\t}","title":""},{"docid":"7e0e17e2caaa41bab606d37feb1e570f","score":"0.6196564","text":"public double getRoutDistanceFirstWay(){\n\n double distance=0.00;\n List<UserLocation> userLocations = DatabaseManager.getInstance().getUserLocationList(PreferenceManager.getInstance(this).getRouteId());\n\n if(userLocations.size()>0){\n\n for(int i=0;i<userLocations.size();i++){\n if((i+1)<userLocations.size()){\n UserLocation userLocationA = userLocations.get(i);\n UserLocation userLocationB = userLocations.get(i+1);\n\n Location locationA = new Location(\"\");\n Location locationB = new Location(\"\");\n\n locationA.setLongitude(userLocationA.getLongitude());\n locationA.setLatitude(userLocationA.getLatitude());\n\n locationB.setLongitude(userLocationB.getLongitude());\n locationB.setLatitude(userLocationB.getLatitude());\n\n distance = distance + locationA.distanceTo(locationB);\n }\n }\n\n }\n return (distance/1000.00);\n }","title":""},{"docid":"3b3941d364091998a0f2c503775197c4","score":"0.61765116","text":"public int distance()\n\t{\n\t\tif (moveto < start)\n\t\t{\n\t\t\treturn start - moveto;\n\t\t} else if (moveto > end)\n\t\t{\n\t\t\treturn moveto - end;\n\t\t} else\n\t\t{\n\t\t\treturn moveto - start;\n\t\t}\n\t}","title":""},{"docid":"f541aaf2165712c6a9c4cf7b585a0774","score":"0.6171741","text":"public double getDistance()\n {\n try\n {\n System.out.println(getShape() + \" Distance: \" + closestTarget.getDouble(\"dist\"));\n return closestTarget.getInt(\"dist\");\n }\n catch(Exception e)\n {\n return 0;\n }\n \n }","title":""},{"docid":"525c482183fcf46db0adab8849e0b2e4","score":"0.61432886","text":"public double getDistance() {\n return ((proximitySensor.getVoltage() / 0.04883) * Constants.VOLTS_TO_DIST) / 30.48;\n }","title":""},{"docid":"a9a64f49a770cbc0736e189f56613f99","score":"0.6135256","text":"public double getDistance(){\r\n return ( ShooterValues.TOWER_HEIGHT - ( ShooterValues.TARGET_HEIGHT / 4 ) - ShooterValues.LIMELIGHT_HEIGHT ) / Math.tan( ShooterValues.intoRadians( ShooterValues.LIMELIGHT_ANGLE + getY() ) );\r\n }","title":""},{"docid":"e4e80c52987b34ad18cb5222dcb60bb5","score":"0.60888374","text":"public int getDistance() {\n if (getPairedStrandedIntervals().getLeft().getInterval().getContig() != getPairedStrandedIntervals().getRight().getInterval().getContig()) {\n return -1;\n } else {\n return getPairedStrandedIntervals().getRight().getInterval().getStart() - getPairedStrandedIntervals().getLeft().getInterval().getEnd();\n }\n\n }","title":""},{"docid":"8eb1271742cacfb471fe24cef1d6cc19","score":"0.6087418","text":"public double getTravelDistance() {\r\n return travelDistance;\r\n }","title":""},{"docid":"8c6e096a3a0ce139021f88aea66185e5","score":"0.6077191","text":"public double getTrailingDistance() {\n return trailingDistance_;\n }","title":""},{"docid":"df994881febc569d975c0c81c89406e9","score":"0.60505116","text":"public double distanceFromOrigin() {\r\n return vec[vec.length - 1];\r\n }","title":""},{"docid":"4ccb56bcb6e8bbe81950ceb6ecb9f213","score":"0.6049314","text":"public double getEuclideanDistance(Waypoint other) {\n int dx = other.getAbsoluteX() - getAbsoluteX();\n int dy = other.getAbsoluteY() - getAbsoluteY();\n\n return Math.sqrt(dx * dx + dy * dy);\n }","title":""},{"docid":"2ead771af74e86f608ee22b9d555ef58","score":"0.60408425","text":"public int get_distance(){\n\t\treturn this.distance;\n\t}","title":""},{"docid":"289991e2ccf487a6c70e83f616f653f9","score":"0.6035106","text":"double getDistance();","title":""},{"docid":"9362b712acd01516b73f4062f5f2bd26","score":"0.60323167","text":"public int getDistance(){\n\n if(connections.size() == 0){\n throw new IllegalStateException(\"Route is empty\");\n }\n\n int distance = 0;\n\n for(Connection c: connections){\n distance+=c.getDistance();\n }\n\n return distance;\n }","title":""},{"docid":"78f98c2d2f296d8340713c9b6222f966","score":"0.6015693","text":"public double getDistanceLeft(){\n\t\treturn distanceToLeft;\r\n\t}","title":""},{"docid":"d5f331a18ef96060f6dfdc7968efaf36","score":"0.598998","text":"public double getTrailingDistance() {\n return trailingDistance_;\n }","title":""},{"docid":"c3e34bd16d376128a3421d04392183a2","score":"0.5975351","text":"public double calculateDistanceTo(Waypoint otherPoint) {\n\t\t// According to http://en.wikipedia.org/wiki/Earth_radius#Mean_radii\n\t\t// earth has an equatorial radius of 6,378.137 kilometers. \n\t\tfinal int R = 6378137;\n\n\t\tif (otherPoint == null) {\n\t\t\treturn 0.0;\n\t\t}\n\n double result = Math.acos(\n\t\t\t\tMath.sin(Math.toRadians(getLongitude())) * Math.sin(Math.toRadians(otherPoint.getLatitude())) +\n Math.cos(Math.toRadians(getLongitude())) * Math.cos(Math.toRadians(otherPoint.getLatitude())) *\n Math.cos(Math.toRadians(otherPoint.getLongitude() - getLongitude()))) * R;\n\t return result * 3.2808; // feet\n }","title":""},{"docid":"ad48a317c5b55cb7bdfc6050d5d49912","score":"0.5962274","text":"public int distanceTraveled()\n {\n return stepsCount * stepLength;\n }","title":""},{"docid":"45b4b56b6f9cb335a24d7830d1599bff","score":"0.5955363","text":"public double getDistance()\n\t{\n\n\t\treturn (TARGETHGT - 29.5) / Math.tan(table.getEntry(\"ty\").getDouble(0.0) + 110);\n\t}","title":""},{"docid":"0c0fd280916ae9a46000ce3a788afcc7","score":"0.5947907","text":"public double distanceAssist() {\n tv = NetworkTableInstance.getDefault().getTable(\"limelight\").getEntry(\"tv\").getDouble(0.0);\n ta = NetworkTableInstance.getDefault().getTable(\"limelight\").getEntry(\"ta\").getDouble(0.0);\n SmartDashboard.putNumber(\"Crosshair Vertical Offset\", ty);\n double adjustment = 0.0;\n double area_threshold = 1.75;\n double Kp = 0.225;\n\n if (tv == 1.0) {\n adjustment = (area_threshold - ta) * Kp;\n }\n adjustment = Math.signum(adjustment) * Math.min(Math.abs(adjustment), 0.5);\n return adjustment;\n }","title":""},{"docid":"882825d005cfab4588aebb44bd0998d3","score":"0.5941395","text":"private double getDistance() {\n\t\tdouble dist = 0;\n\t\tdist = Math.sqrt((xOrigin-x)*(xOrigin-x)+(yOrigin-y)*(yOrigin-y));\n\t\t//System.out.println(dist);\n\t\treturn dist;\n\t}","title":""},{"docid":"d231314b62b0bd95d07eab796f213957","score":"0.5913927","text":"public double getDistanceTo() {\n\t\treturn this.distanceTo;\n\t}","title":""},{"docid":"e024be7ac211a5358d407fb321ac49e4","score":"0.58732384","text":"public double getDistance()\n\t{\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\treturn analogSensor.getVoltage()/VOLTS_PER_INCH;\t\n\t}","title":""},{"docid":"223530b3cf367003c4652c190955ffc8","score":"0.5871968","text":"public double get_distance() {\n return _distance;\n }","title":""},{"docid":"114dc4c2eb29b4b558df41b552d92d5b","score":"0.58690196","text":"public double getDistance() {\n\t\t\tint a;\n\t\t\tint b;\n\t\t\ta = point1.getY() - point2.getY();\t//y distance\n\t\t\tb = point1.getX() - point2.getX();\t//x distance\n\t\t\treturn Math.sqrt(Math.pow(a, 2) + Math.pow(b, 2));\t//finds the distance using the pythagorean theorem\n\t\t}","title":""},{"docid":"29f4d34d8c6c1ceb7c3aac686ebf66a7","score":"0.58611715","text":"public int getPrevY() {\n\t\treturn prevY;\n\t}","title":""},{"docid":"a473c537733840733cb0dc3ced1eed7e","score":"0.5840772","text":"public double getRoutDistanceSecondWay(){\n\n double distance=0.00;\n List<UserLocation> userLocations = DatabaseManager.getInstance().getUserLocationList(PreferenceManager.getInstance(this).getRouteId());\n\n if(userLocations.size()>0){\n\n for(int i=0;i<userLocations.size();i++){\n if((i+1)<userLocations.size()){\n UserLocation userLocationA = userLocations.get(i);\n UserLocation userLocationB = userLocations.get(i+1);\n\n float[] values = new float[3];\n Location.distanceBetween(userLocationA.getLatitude(),userLocationA.getLongitude(),\n userLocationB.getLatitude(),userLocationB.getLongitude(),values);\n\n distance = distance + (values[0]);\n }\n }\n\n }\n return (distance/1000.00);\n }","title":""},{"docid":"e6ad2cce4dc33d4f48bd72bab15717e9","score":"0.58404696","text":"public float getDistancePoint(){\n return getFloatProperty(Constants.DISTANCE_POINT);\n }","title":""},{"docid":"3f75271dca836a7ef9570c58beff05a5","score":"0.5839558","text":"private int getDistance(MotionEvent event) {\n int dx = (int) (event.getX(0) - event.getX(1));\n int dy = (int) (event.getY(0) - event.getY(1));\n return (int) (Math.sqrt(dx * dx + dy * dy));\n }","title":""},{"docid":"82a65151e9cc6b01bb3e2efe63a1ce1e","score":"0.58269686","text":"public double distanceFromOrigin() {\n int localX, localY;\n out:\n {\n // try a few times to do an optimistic read\n for (int i = 0; i < RETRIES; i++) {\n long stamp = sl.tryOptimisticRead();\n localX = x;\n localY = y;\n if (sl.validate(stamp)) {\n break out;\n }\n }\n // pessimistic read\n long stamp = sl.readLock();\n try {\n localX = x;\n localY = y;\n } finally {\n sl.unlockRead(stamp);\n }\n }\n return Math.hypot(localX, localY);\n }","title":""},{"docid":"62ea35749145cfc608ab99c906cace98","score":"0.58136386","text":"public NodeD getPrev() {\n return this.prev;\n }","title":""},{"docid":"d5f0940e30fd79fdfda0ece5e8896290","score":"0.5808177","text":"float getPrevRearLeftTyreDelta();","title":""},{"docid":"4270d709e7756321ef1b042a33ed3f71","score":"0.5805112","text":"public double getDistanceTraveled() {\r\n\t\treturn distanceTraveled;\r\n\t}","title":""},{"docid":"36bab65263c6e5095a2c54a68abf4cc4","score":"0.58007467","text":"public float getDistance(Waypoint waypoint, IALatLng userPosition) {\n /*\n Using the Location class, because it provides methods to compute distance between\n two location which contains latitude and longitude\n */\n Location locationA = new Location(\"Point A\");\n locationA.setLatitude(userPosition.latitude);\n locationA.setLongitude(userPosition.longitude);\n\n Location locationB = new Location(\"Point B\");\n locationB.setLatitude(Float.parseFloat(waypoint.getLatitude()));\n locationB.setLongitude(Float.parseFloat(waypoint.getLongitude()));\n\n /* This method returns the distance in meters between the locations. */\n float distance = locationA.distanceTo(locationB);\n\n return distance;\n }","title":""},{"docid":"39acbb2eff94682cfb61b6cdf31fb48b","score":"0.57972103","text":"public int getDistance(Point p);","title":""},{"docid":"e94b773da1f6faafe18fb12afbe4b380","score":"0.57846504","text":"public GeoPoint getPreviousPoint()\r\n\t{\r\n\t\tif(polygonPointer == 0)\r\n\t\t{\r\n\t\t\treturn polygon.get(polygonPointer);\r\n\t\t}\r\n\t\t\r\n\t\treturn polygon.get(polygonPointer-1);\r\n\t}","title":""},{"docid":"cca10d96369df96d8bba3c5d14a0d2f0","score":"0.5779136","text":"public double getPrevTransaction() {\n return previousTrans;\n }","title":""},{"docid":"8bfd9ff710b4ff25cb641660b92212c0","score":"0.57715917","text":"public T caseCalcTaskDistanceFromPrevious(CalcTaskDistanceFromPrevious object) {\n\t\treturn null;\n\t}","title":""},{"docid":"92f5d6cb8229708df82804b0d341477c","score":"0.5764306","text":"public float getDistance() {\n float distance = 0;\n if (_locations.size() < 2) return distance;\n\n for (int i = 1; i < _locations.size(); i++) {\n Location a = _locations.get(i - 1);\n Location b = _locations.get(i);\n\n distance += a.distanceTo(b);\n }\n\n float theDistance = distance / 1000; // Convert meters to kilometers\n return theDistance;\n }","title":""},{"docid":"06c85489803950545e42d8407c6178ae","score":"0.57604235","text":"public double calcDistance(){\n\t\t\t\tdouble result = Double.MIN_VALUE;\n\t\t\t\tresult = Math.sqrt( \n\t\t\t\t\t\t\t(pointA.x - pointB.x) * (pointA.x - pointB.x) + \n\t\t\t\t\t\t\t(pointA.y - pointB.y) * (pointA.y - pointB.y) \n\t\t\t\t\t\t); \n\t\t\t\treturn result;\n\t\t\t}","title":""},{"docid":"752b7b7aef2cc66eef293b6cf9666b28","score":"0.57594013","text":"public int getPrevuPour() {\n return prevuPour;\n }","title":""},{"docid":"338bd8393baf21b0f5d1840e04a7303d","score":"0.5725586","text":"public double getDistance() {\n\t\treturn this.distance;\n\t}","title":""},{"docid":"ebfb36a22c6ced0be15fc9110d2ab6a6","score":"0.5718308","text":"@Override\r\n\tdouble getDistance() {\n\t\treturn distance;\r\n\t}","title":""},{"docid":"c6fb0ec15b840ece19d5a8149da38404","score":"0.5714079","text":"float getTotalDistance();","title":""},{"docid":"cf98c5803b90916d9aadc3af376542fa","score":"0.5714069","text":"public double getDistance() {\n return this.distance;\n }","title":""},{"docid":"216133291b2b8df3506fbfbc218b72d4","score":"0.57057697","text":"public long getDistanceZ(long z){\r\n\t\treturn Math.abs(this.upDown-upDown);\r\n\t}","title":""},{"docid":"92593883cfe12b5006d6d084f1ed5723","score":"0.5704474","text":"public float eta(){\n float distance;\n if(reachDest()) {\n distance = 0;\n }else{\n Intersection intersection;\n if (currentRoad != null) {\n intersection = route.nextIntersection(currentRoad);\n } else {\n intersection = route.nextIntersection(previousRoad);\n }\n\n Point2D.Double pos = this.car.getPosition ();\n if(route.isLastIntersection(intersection)){\n distance = (float)pos.distance(dest);\n } else{\n distance = (float)pos.distance(intersection.pos);\n distance += route.getIntersectionDist(intersection, this.dest);\n }\n //this code is not shown in the design diagrams\n distance = distance - DEST_DISTANCE;\n }\n\n return distance/AVERG_SPEED;\n }","title":""},{"docid":"a2e74e9c5db3b9364090c7bfb65e03a7","score":"0.56926","text":"float getPrevFrontTyreDelta();","title":""},{"docid":"85e0bb0cbd362c9d5b04511827a6feea","score":"0.5686743","text":"public int getDistance() {\n return distance;\n }","title":""},{"docid":"55a7c43f099c4785412198ee620e1c6e","score":"0.56863874","text":"@Override\n public double getDistance()\n {\n double volt = getVoltage();\n double cm = 56.2958 - (79.12745 * volt) + (43.04363 * Math.pow(volt, 2.0)) - (7.753581 * Math.pow(volt, 3.0));\n return cm / 2.54;\n }","title":""},{"docid":"141c7707563f927b50438c77cfe12a2f","score":"0.5681435","text":"public void calcDistance() {\n\t\tdistance = Math.abs(posX) + Math.abs(posY) + Math.abs(posZ);\n\t}","title":""},{"docid":"15169d2015596cc9d6d535c70ae7ff5e","score":"0.5680646","text":"public double getDistance() {\n return distance;\n }","title":""},{"docid":"15169d2015596cc9d6d535c70ae7ff5e","score":"0.5680646","text":"public double getDistance() {\n return distance;\n }","title":""},{"docid":"555bac4e23edb15f1f8179ef0623cde9","score":"0.5677338","text":"public double getDistance(Point3D point);","title":""},{"docid":"38271193017172d8a29afbe4925750fe","score":"0.5674034","text":"public int getFinalDistance() {\n\t\treturn handScorecard.getFinalDistance();\n\t}","title":""},{"docid":"192f2de8918da801c57aa83339b88bf2","score":"0.5666936","text":"public double getTotalDistanceTraveled() {\n\t\treturn distanceTraveled;\n\t}","title":""},{"docid":"05144eb8aafc4e725e438361d2c91721","score":"0.56599545","text":"@Override\n\tpublic Double getDistance(AbstractFrame frame1, AbstractFrame frame2) {\n\t\tFrame temp1, temp2;\n\t\tdouble distance;\n\t\tint temp;\n\t\tif(frame1 == null){\n\t\t\tSystem.out.println(\"1. Frame wurde kein Wert zugewiesen\");\n\t\t\treturn null;\n\t\t}else if(frame2 == null){\n\t\t\tSystem.out.println(\"2. Frame wurde kein Wert zugewiesen\");\n\t\t\treturn null;\n\t\t}\n\t\ttemp1 = frame1.copy();\n\t\ttemp2 = frame2.copy();\n\t\tSystem.out.print(\"Z Frame 1: \" + temp1.getZ());\n\t\tdistance = temp1.getZ()-temp2.getZ();\n\t\tdistance *= 100.0;\n\t\ttemp = (int)distance;\n\t\tdistance = (double)temp / 100.0;\n\t\tSystem.out.println(\"Z-Abstand beträgt \"+distance+\" mm\");\n\t\treturn distance;\n\t}","title":""},{"docid":"ed03b201fa33f4891d8387d769c2110e","score":"0.5655016","text":"public double getDistanceToGoal() { // Returns in inches\n return 0.5808 * getCenterY() + 32.799;\n }","title":""},{"docid":"54396db7c11fafab5bc2056f0fd8c308","score":"0.5645039","text":"public double getDistance() {\n\t\treturn distance;\n\t}","title":""},{"docid":"0a61a07bb3efc02b147e29c656a3439f","score":"0.5642581","text":"private double getDistance(Node other) {\n double ans = 0;\n double x1 = lat;\n double y1 = lng;\n double x2 = other.getX();\n double y2 = other.getY();\n ans = Math.sqrt(Math.pow(x2 - x1,2) + Math.pow(y2 - y1,2));\n\n return ans;\n\n }","title":""},{"docid":"d74b6d067e8a3b1e863339d9fab5a7e7","score":"0.5635598","text":"double excessDistance(){\r\n if(distance <= BASE_KM){\r\n return 0;\r\n }\r\n else{\r\n return distance - BASE_KM;\r\n }\r\n }","title":""},{"docid":"99bbd8bb979ae8df2d8a5e958cecdb8c","score":"0.56263334","text":"public float getDistance() {\n return this.distance;\n }","title":""},{"docid":"bc7c6a5de0f5e52c4cb9d0a268d4914b","score":"0.5625224","text":"private void calculateClosestWaypoint(Game a_gameCopy)\n {\n double minDistance = Double.MAX_VALUE;\n for(Waypoint way: a_gameCopy.getWaypoints())\n {\n if(!way.isCollected()) //Only consider those not collected yet.\n {\n double fx = way.s.x-a_gameCopy.getShip().s.x, fy = way.s.y-a_gameCopy.getShip().s.y;\n double dist = Math.sqrt(fx*fx+fy*fy);\n if( dist < minDistance )\n {\n //Keep the minimum distance.\n minDistance = dist;\n m_closestWaypoint = way;\n }\n }\n }\n }","title":""},{"docid":"bc7c6a5de0f5e52c4cb9d0a268d4914b","score":"0.5625224","text":"private void calculateClosestWaypoint(Game a_gameCopy)\n {\n double minDistance = Double.MAX_VALUE;\n for(Waypoint way: a_gameCopy.getWaypoints())\n {\n if(!way.isCollected()) //Only consider those not collected yet.\n {\n double fx = way.s.x-a_gameCopy.getShip().s.x, fy = way.s.y-a_gameCopy.getShip().s.y;\n double dist = Math.sqrt(fx*fx+fy*fy);\n if( dist < minDistance )\n {\n //Keep the minimum distance.\n minDistance = dist;\n m_closestWaypoint = way;\n }\n }\n }\n }","title":""},{"docid":"21f4af65acd7f4adfdf043a4edcbb736","score":"0.56245834","text":"public Double getDistance() {\n return distance;\n }","title":""},{"docid":"695cdce4da56598911e034de7a8b4941","score":"0.5615417","text":"public long getReturnToWaypoint() { return ReturnToWaypoint; }","title":""},{"docid":"e17dffd78a018a7b00ba92ee56c558b2","score":"0.56116015","text":"public double getStoppingDistance() {\r\n return stoppingDistance;\r\n }","title":""},{"docid":"cf8ad0de2e27c9c10112836db3b6f050","score":"0.5604208","text":"public synchronized float getLookDistance()\n/* */ {\n/* 17 */ return this.lookDistance;\n/* */ }","title":""},{"docid":"6232f5f8cc42d8c3ef9cb746e1bc6e92","score":"0.5594661","text":"public double getDistance (Point other) {\n\t\tdouble deltaX = other.getX() - this.getX();\n\t\tdouble deltaY = other.getY() - this.getY();\n\t\treturn Math.sqrt (deltaX * deltaX + deltaY * deltaY);\n\t}","title":""},{"docid":"dd0a83de3a37eb8dc4928fc0eeea2189","score":"0.55902404","text":"public int getPrevious() {\r\n \tint ret = this.iter.where;\r\n \tthis.iter = this.iter.getPrev();\r\n return ret;\r\n }","title":""},{"docid":"eee8de9c8efb33f45b68c60c3f540f12","score":"0.55844647","text":"public int getDistance() \n {\n return distance;\n }","title":""},{"docid":"2c24858200eda777a9097e01299d65c1","score":"0.5578187","text":"public int getDistance() {\n\t\treturn this.distance;\n\t}","title":""},{"docid":"2c24858200eda777a9097e01299d65c1","score":"0.5578187","text":"public int getDistance() {\n\t\treturn this.distance;\n\t}","title":""},{"docid":"61b99111367fd2ae3e73ea5869b12068","score":"0.55778587","text":"public abstract double getDistance(Point p);","title":""},{"docid":"0191bfde9dfe14d732b2351364ab7fd7","score":"0.5573517","text":"public Direction getPrevious() {\t\t\n\t\t\t// Avoid an index less than zero by adding the length enum before subtracting 1.\n\t\t\treturn values()[(ordinal() + values().length -1) % values().length]; \n\t\t}","title":""},{"docid":"67660294d4188176addda5042d9d655b","score":"0.5562673","text":"@Override\n\tpublic int getDistance() {\n\t\treturn ultrasonicSensor.getDistance();\n\t}","title":""},{"docid":"3dc275a256044f46f73cc3fd142c92e1","score":"0.55524063","text":"public int getDistance() {\n\t\treturn distance;\n\t}","title":""},{"docid":"cb911f9a77592419506b2955b1564f3f","score":"0.5550006","text":"public Train getPrev(){ return this.previous; }","title":""},{"docid":"bd703cf2889a91a866404a1a9eb0779f","score":"0.55388796","text":"public long distanceToDepot() {\n return location.distanceTo(vehicle.getLocation());\n }","title":""},{"docid":"73c013a1892c23539747ceeb763fecbd","score":"0.5523855","text":"public Edge getPrev() {\n\t\treturn prev;\n\t}","title":""},{"docid":"2fcfb8c8078a5deea9f0cf58d6258998","score":"0.55132526","text":"@Override\r\n public double calcDistance(Point other) {\r\n return Math.sqrt(Math.pow(other.x - this.location.x, 2) + Math.pow(other.y - this.location.y, 2));\r\n }","title":""},{"docid":"4255a58ca1d553c913cf265bb0348f70","score":"0.5497729","text":"public String getBetweenDistance() {\n\t\tGjcxService mGjcxService;\n\t\tMap m = null ;\n\t\tHashMap<String,Object> map;\n\t\tList list;\n\t\t\n\t\ttry {\n\t\t\tmGjcxService = (GjcxService) factory.create(GjcxService.class, url_gjcx, this.mContext.get().getClassLoader());\n\t\t\tbusLinerDatail=(Map)mGjcxService.getBuslineDetail(linearName);\n\t\t} catch (Exception e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t}\n\t\tif(busLinerDatail==null)\n\t\t\treturn null;\n\t\t if(orientation.equals(\"上行\")){\n\t\t\t m =(Map) busLinerDatail.get(\"upstream\");\n\t\t }\n\t\t else\n\t\t\t m =(Map) busLinerDatail.get(\"downstream\");\n\t\t if(m==null) \n\t\t\t return null;\n\t\t list=(List) m.get(\"list\");\n\t\tfor(int i=0;i<list.size();i++)\n\t\t{\n\t\t map=new HashMap<String,Object>();\n\t\t\tstation=((HashMap<String,Object> ) list.get(i)) .get(\"STATIONNAME\").toString();\n\t\t\tlinerId=((HashMap<String,Object> ) list.get(i)) .get(\"LINEID\").toString();\n\t\t\tstationId=((HashMap<String,Object> ) list.get(i)) .get(\"STATIONID\").toString();\n\t\t\tdata.add(map);\n\t\t\t if(station.equals(stationName))\n\t\t\t\t break;\n\t\t}\n\t\tSystem.out.println(busLinerDatail);\n\t\treturn getDistance(linerId,stationId);\n\t}","title":""},{"docid":"826f0a9c29a6c2582e9a72fe46ffa8bc","score":"0.54973304","text":"public double getTargetDistance() {\n return powercellTarget.getCameraToTarget().getY();\n }","title":""},{"docid":"70912c0df70a19736eed349dd799ea18","score":"0.5493484","text":"public float getDistance() {\r\n\t return distance;\r\n\t}","title":""},{"docid":"30bb0d7972711776f2c7b2ce43fc5770","score":"0.5481611","text":"public int getWeaponPrevY() {\n\t\treturn weapon.getPrevY();\n\t}","title":""},{"docid":"afb9275060258417c0548c2188d3a524","score":"0.5476585","text":"private void calculateDistance() {\n\t\tdouble dLat = Math.toRadians(destination.getLatitude() - origin.getLatitude());\n\t\tdouble dLng = Math.toRadians(destination.getLongitude() - origin.getLongitude());\n\t\tdouble angle =\tMath.sin(dLat/2) * Math.sin(dLat/2) +\n\t \t\tMath.cos(Math.toRadians(destination.getLatitude())) * Math.cos(Math.toRadians(origin.getLatitude())) *\n\t \t\tMath.sin(dLng/2) * Math.sin(dLng/2);\n\t double c = 2 * Math.atan2(Math.sqrt(angle), Math.sqrt(1-angle));\n\t distance = EARTH_RADIUS * c;\n\t}","title":""},{"docid":"56d33ebaf19c3a987c330052184c2309","score":"0.5466747","text":"public double getDistanceTo(Shape other) {\n\t\t// Der Lesbarkeit halber die einzelnen Summenteile vorher berechnen\n\t\tdouble valueX = (x - other.x) * (x - other.x);\n\t\tdouble valueY = (y - other.y) * (y - other.y);\n\t\tdouble valueZ = (z - other.z) * (z - other.z);\n\n\t\t// Wurzel der Summe zurückgeben => Euklidischer Abstand\n\t\treturn Math.sqrt(valueX + valueY + valueZ);\n\t}","title":""},{"docid":"fe12f666cabd9aa04ae834b0d166a75f","score":"0.54561824","text":"public double distance() {\n return distance(0, 0);\n }","title":""},{"docid":"6d4676997125ee6dbd142e465a5b7cbf","score":"0.54550046","text":"private float getDistance(float point1, float point2){\n return Math.abs(point1-point2);\n }","title":""},{"docid":"b968e12b8c41a99b9eec167b0e6bc1c2","score":"0.5454694","text":"public float calDistance(){\n\t\tfloat result = (float) Point.distance(OPoint.getX(), OPoint.getY(), RPoint.getX(), RPoint.getY());\n\t\treturn result;\n\t}","title":""},{"docid":"dde24cd168dbd96f931947e833af4fa4","score":"0.545102","text":"public double getDistance() {\n //condition checks if it has been 100 milliseconds since the write to the I2C port has been done (datasheet recommends 80 ms)\n if (canRead()) {\n ultrasonic.read(225, 2, data); //reads data into the byte array data\n int highByte = data[0]; //highByte = first byte of 2 bytes returned from the read\n int lowByte = data[1]; //lowByte = second byte of 2 bytes returned from the read\n //values of the lowbyte greater than 127 overflow to -128 or greater, so negative values of lowbyte need to be adjusted\n if (lowByte < 0) lowByte += 256;\n double distance = ((256 * highByte) + lowByte) / 100.0; //shifting highByte 8 bits to the left, adding lowbyte, converting to m\n ultrasonic.write(224, 81); //doing another reading\n ultrasonicTimer.reset(); //resetting the timer\n return distance;\n }\n return -1;\n }","title":""},{"docid":"24c86ca2a7466f12ae8b22cc60418069","score":"0.5445712","text":"public Double getDistanceToManeuver(){\n return getDouble(KEY_MANEUVER_DISTANCE);\n }","title":""},{"docid":"bce59b445acf81b915de090476959e36","score":"0.5438729","text":"public Node getPrev() {\n return this.prev;\n }","title":""}],"string":"[\n {\n \"docid\": \"19ba33d241d84ecc51f9d9645c35d4c9\",\n \"score\": \"0.65276575\",\n \"text\": \"public Pair<Direction, Integer> getDistance(Waypoint other) {\\n\\n Pair<Direction, Integer> result = null;\\n if (other.absoluteX == this.absoluteX) {\\n result = getDistance(other, 0, Direction.North);\\n result = result != null ? result : getDistance(other, 0,\\n Direction.South);\\n } else if (other.absoluteY == this.absoluteY) {\\n result = getDistance(other, 0, Direction.East);\\n result = result != null ? result : getDistance(other, 0,\\n Direction.West);\\n }\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6c5f9e83f932dfe60c04a16073eb4b9\",\n \"score\": \"0.64901966\",\n \"text\": \"public double getTravelledDistance() {\\r\\n\\t\\treturn this.travelledDistance;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7503dc7ed5043301ba665475d59e4828\",\n \"score\": \"0.6472885\",\n \"text\": \"public double getDistance(){\\n long diff = getDelay();\\n if(diff >= 0){\\n double meters = (diff)*(speedOfSoundInAir/1000.0);\\n return meters;\\n }\\n return -1;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a791bd2a67437b4eb5ed027678e93c99\",\n \"score\": \"0.6316406\",\n \"text\": \"public int getDistance(){\\n if (distance == 0) {\\n int tripDistance = 0;\\n // Loop through our trip's cities\\n for (int cityIndex=0; cityIndex < tripSize(); cityIndex++) {\\n // Get city we're travelling from\\n City fromCity = getCity(cityIndex);\\n // City we're travelling to\\n City destinationCity;\\n // Check we're not on our trip's last city, if we are set our\\n // trip's final destination city to our starting city\\n if(cityIndex + 1 < tripSize()){\\n destinationCity = getCity(cityIndex+1);\\n } else {\\n destinationCity = getCity(0);\\n }\\n // Get the distance between the two cities\\n tripDistance += fromCity.distanceTo(destinationCity);\\n }\\n distance = tripDistance;\\n }\\n return distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f9d2baa13cbf166fcaf7db6132894c4a\",\n \"score\": \"0.6315423\",\n \"text\": \"public double getRoutDistanceThirdWay(){\\n\\n double distance=0.00;\\n List<UserLocation> userLocations = DatabaseManager.getInstance().getUserLocationList(PreferenceManager.getInstance(this).getRouteId());\\n\\n if(userLocations.size()>0){\\n\\n for(int i=0;i<userLocations.size();i++){\\n if((i+1)<userLocations.size()){\\n UserLocation userLocationA = userLocations.get(i);\\n UserLocation userLocationB = userLocations.get(i+1);\\n\\n distance = distance + + Utility.distanceInKilometers(userLocationA.getLatitude(),userLocationA.getLongitude(),\\n userLocationB.getLatitude(),userLocationB.getLongitude());\\n }\\n }\\n\\n }\\n return distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e1e2dc53c23049a879a7a32f36b0d293\",\n \"score\": \"0.6308217\",\n \"text\": \"public float getDistance()\\n {\\n float distance = 0;\\n List<LatLng> positions = this.getmPositions();\\n for (int i = 0 ; i < positions.size() - 1 ; i++ )\\n {\\n Location A = new Location(\\\"A\\\");\\n A.setLatitude( positions.get(i).latitude );\\n A.setLongitude(positions.get(i).longitude);\\n Location B = new Location(\\\"B\\\");\\n B.setLatitude(positions.get(i + 1).latitude);\\n B.setLongitude(positions.get(i + 1).longitude);\\n\\n distance += A.distanceTo(B);\\n }\\n return distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87bb69aacc8a062c5b897074a1dd7774\",\n \"score\": \"0.6283632\",\n \"text\": \"public int getDistance(){\\n Destination currentDest;\\n Destination nextDest;\\n int totalDist = 0;\\n\\n if(routeSize() <= 1){\\n return totalDist;\\n }\\n\\n for(int i = 0; i < routeSize() - 1; i++){\\n currentDest = getDest(i);\\n nextDest = getDest(i+1);\\n if(currentDest == null){\\n System.out.println(\\\"Current: \\\" + currentDest + \\\", Next: \\\" + nextDest);\\n System.out.println(toString());\\n\\n }\\n totalDist += currentDest.distanceTo(nextDest); \\n }\\n return totalDist;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7cc62bdaa1cbd31d2d9ef12d58ecf3cf\",\n \"score\": \"0.62559044\",\n \"text\": \"public static double lastDistanceCorrection(){\\r\\n\\t\\tif (last == null) return 0;\\r\\n\\t\\tdouble off = last.distanceTo(odometer.getPose().getLocation()) - Main.TILE_WIDTH/2f - Y_OFFSET;\\r\\n\\t\\tlast = null;\\r\\n\\t\\treturn (off > Main.TILE_WIDTH/3f) ? 0 : -off;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e0e17e2caaa41bab606d37feb1e570f\",\n \"score\": \"0.6196564\",\n \"text\": \"public double getRoutDistanceFirstWay(){\\n\\n double distance=0.00;\\n List<UserLocation> userLocations = DatabaseManager.getInstance().getUserLocationList(PreferenceManager.getInstance(this).getRouteId());\\n\\n if(userLocations.size()>0){\\n\\n for(int i=0;i<userLocations.size();i++){\\n if((i+1)<userLocations.size()){\\n UserLocation userLocationA = userLocations.get(i);\\n UserLocation userLocationB = userLocations.get(i+1);\\n\\n Location locationA = new Location(\\\"\\\");\\n Location locationB = new Location(\\\"\\\");\\n\\n locationA.setLongitude(userLocationA.getLongitude());\\n locationA.setLatitude(userLocationA.getLatitude());\\n\\n locationB.setLongitude(userLocationB.getLongitude());\\n locationB.setLatitude(userLocationB.getLatitude());\\n\\n distance = distance + locationA.distanceTo(locationB);\\n }\\n }\\n\\n }\\n return (distance/1000.00);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b3941d364091998a0f2c503775197c4\",\n \"score\": \"0.61765116\",\n \"text\": \"public int distance()\\n\\t{\\n\\t\\tif (moveto < start)\\n\\t\\t{\\n\\t\\t\\treturn start - moveto;\\n\\t\\t} else if (moveto > end)\\n\\t\\t{\\n\\t\\t\\treturn moveto - end;\\n\\t\\t} else\\n\\t\\t{\\n\\t\\t\\treturn moveto - start;\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f541aaf2165712c6a9c4cf7b585a0774\",\n \"score\": \"0.6171741\",\n \"text\": \"public double getDistance()\\n {\\n try\\n {\\n System.out.println(getShape() + \\\" Distance: \\\" + closestTarget.getDouble(\\\"dist\\\"));\\n return closestTarget.getInt(\\\"dist\\\");\\n }\\n catch(Exception e)\\n {\\n return 0;\\n }\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"525c482183fcf46db0adab8849e0b2e4\",\n \"score\": \"0.61432886\",\n \"text\": \"public double getDistance() {\\n return ((proximitySensor.getVoltage() / 0.04883) * Constants.VOLTS_TO_DIST) / 30.48;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a9a64f49a770cbc0736e189f56613f99\",\n \"score\": \"0.6135256\",\n \"text\": \"public double getDistance(){\\r\\n return ( ShooterValues.TOWER_HEIGHT - ( ShooterValues.TARGET_HEIGHT / 4 ) - ShooterValues.LIMELIGHT_HEIGHT ) / Math.tan( ShooterValues.intoRadians( ShooterValues.LIMELIGHT_ANGLE + getY() ) );\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e4e80c52987b34ad18cb5222dcb60bb5\",\n \"score\": \"0.60888374\",\n \"text\": \"public int getDistance() {\\n if (getPairedStrandedIntervals().getLeft().getInterval().getContig() != getPairedStrandedIntervals().getRight().getInterval().getContig()) {\\n return -1;\\n } else {\\n return getPairedStrandedIntervals().getRight().getInterval().getStart() - getPairedStrandedIntervals().getLeft().getInterval().getEnd();\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8eb1271742cacfb471fe24cef1d6cc19\",\n \"score\": \"0.6087418\",\n \"text\": \"public double getTravelDistance() {\\r\\n return travelDistance;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8c6e096a3a0ce139021f88aea66185e5\",\n \"score\": \"0.6077191\",\n \"text\": \"public double getTrailingDistance() {\\n return trailingDistance_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"df994881febc569d975c0c81c89406e9\",\n \"score\": \"0.60505116\",\n \"text\": \"public double distanceFromOrigin() {\\r\\n return vec[vec.length - 1];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ccb56bcb6e8bbe81950ceb6ecb9f213\",\n \"score\": \"0.6049314\",\n \"text\": \"public double getEuclideanDistance(Waypoint other) {\\n int dx = other.getAbsoluteX() - getAbsoluteX();\\n int dy = other.getAbsoluteY() - getAbsoluteY();\\n\\n return Math.sqrt(dx * dx + dy * dy);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ead771af74e86f608ee22b9d555ef58\",\n \"score\": \"0.60408425\",\n \"text\": \"public int get_distance(){\\n\\t\\treturn this.distance;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"289991e2ccf487a6c70e83f616f653f9\",\n \"score\": \"0.6035106\",\n \"text\": \"double getDistance();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9362b712acd01516b73f4062f5f2bd26\",\n \"score\": \"0.60323167\",\n \"text\": \"public int getDistance(){\\n\\n if(connections.size() == 0){\\n throw new IllegalStateException(\\\"Route is empty\\\");\\n }\\n\\n int distance = 0;\\n\\n for(Connection c: connections){\\n distance+=c.getDistance();\\n }\\n\\n return distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78f98c2d2f296d8340713c9b6222f966\",\n \"score\": \"0.6015693\",\n \"text\": \"public double getDistanceLeft(){\\n\\t\\treturn distanceToLeft;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d5f331a18ef96060f6dfdc7968efaf36\",\n \"score\": \"0.598998\",\n \"text\": \"public double getTrailingDistance() {\\n return trailingDistance_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c3e34bd16d376128a3421d04392183a2\",\n \"score\": \"0.5975351\",\n \"text\": \"public double calculateDistanceTo(Waypoint otherPoint) {\\n\\t\\t// According to http://en.wikipedia.org/wiki/Earth_radius#Mean_radii\\n\\t\\t// earth has an equatorial radius of 6,378.137 kilometers. \\n\\t\\tfinal int R = 6378137;\\n\\n\\t\\tif (otherPoint == null) {\\n\\t\\t\\treturn 0.0;\\n\\t\\t}\\n\\n double result = Math.acos(\\n\\t\\t\\t\\tMath.sin(Math.toRadians(getLongitude())) * Math.sin(Math.toRadians(otherPoint.getLatitude())) +\\n Math.cos(Math.toRadians(getLongitude())) * Math.cos(Math.toRadians(otherPoint.getLatitude())) *\\n Math.cos(Math.toRadians(otherPoint.getLongitude() - getLongitude()))) * R;\\n\\t return result * 3.2808; // feet\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad48a317c5b55cb7bdfc6050d5d49912\",\n \"score\": \"0.5962274\",\n \"text\": \"public int distanceTraveled()\\n {\\n return stepsCount * stepLength;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"45b4b56b6f9cb335a24d7830d1599bff\",\n \"score\": \"0.5955363\",\n \"text\": \"public double getDistance()\\n\\t{\\n\\n\\t\\treturn (TARGETHGT - 29.5) / Math.tan(table.getEntry(\\\"ty\\\").getDouble(0.0) + 110);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0c0fd280916ae9a46000ce3a788afcc7\",\n \"score\": \"0.5947907\",\n \"text\": \"public double distanceAssist() {\\n tv = NetworkTableInstance.getDefault().getTable(\\\"limelight\\\").getEntry(\\\"tv\\\").getDouble(0.0);\\n ta = NetworkTableInstance.getDefault().getTable(\\\"limelight\\\").getEntry(\\\"ta\\\").getDouble(0.0);\\n SmartDashboard.putNumber(\\\"Crosshair Vertical Offset\\\", ty);\\n double adjustment = 0.0;\\n double area_threshold = 1.75;\\n double Kp = 0.225;\\n\\n if (tv == 1.0) {\\n adjustment = (area_threshold - ta) * Kp;\\n }\\n adjustment = Math.signum(adjustment) * Math.min(Math.abs(adjustment), 0.5);\\n return adjustment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"882825d005cfab4588aebb44bd0998d3\",\n \"score\": \"0.5941395\",\n \"text\": \"private double getDistance() {\\n\\t\\tdouble dist = 0;\\n\\t\\tdist = Math.sqrt((xOrigin-x)*(xOrigin-x)+(yOrigin-y)*(yOrigin-y));\\n\\t\\t//System.out.println(dist);\\n\\t\\treturn dist;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d231314b62b0bd95d07eab796f213957\",\n \"score\": \"0.5913927\",\n \"text\": \"public double getDistanceTo() {\\n\\t\\treturn this.distanceTo;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e024be7ac211a5358d407fb321ac49e4\",\n \"score\": \"0.58732384\",\n \"text\": \"public double getDistance()\\n\\t{\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\treturn analogSensor.getVoltage()/VOLTS_PER_INCH;\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"223530b3cf367003c4652c190955ffc8\",\n \"score\": \"0.5871968\",\n \"text\": \"public double get_distance() {\\n return _distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"114dc4c2eb29b4b558df41b552d92d5b\",\n \"score\": \"0.58690196\",\n \"text\": \"public double getDistance() {\\n\\t\\t\\tint a;\\n\\t\\t\\tint b;\\n\\t\\t\\ta = point1.getY() - point2.getY();\\t//y distance\\n\\t\\t\\tb = point1.getX() - point2.getX();\\t//x distance\\n\\t\\t\\treturn Math.sqrt(Math.pow(a, 2) + Math.pow(b, 2));\\t//finds the distance using the pythagorean theorem\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"29f4d34d8c6c1ceb7c3aac686ebf66a7\",\n \"score\": \"0.58611715\",\n \"text\": \"public int getPrevY() {\\n\\t\\treturn prevY;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a473c537733840733cb0dc3ced1eed7e\",\n \"score\": \"0.5840772\",\n \"text\": \"public double getRoutDistanceSecondWay(){\\n\\n double distance=0.00;\\n List<UserLocation> userLocations = DatabaseManager.getInstance().getUserLocationList(PreferenceManager.getInstance(this).getRouteId());\\n\\n if(userLocations.size()>0){\\n\\n for(int i=0;i<userLocations.size();i++){\\n if((i+1)<userLocations.size()){\\n UserLocation userLocationA = userLocations.get(i);\\n UserLocation userLocationB = userLocations.get(i+1);\\n\\n float[] values = new float[3];\\n Location.distanceBetween(userLocationA.getLatitude(),userLocationA.getLongitude(),\\n userLocationB.getLatitude(),userLocationB.getLongitude(),values);\\n\\n distance = distance + (values[0]);\\n }\\n }\\n\\n }\\n return (distance/1000.00);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e6ad2cce4dc33d4f48bd72bab15717e9\",\n \"score\": \"0.58404696\",\n \"text\": \"public float getDistancePoint(){\\n return getFloatProperty(Constants.DISTANCE_POINT);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f75271dca836a7ef9570c58beff05a5\",\n \"score\": \"0.5839558\",\n \"text\": \"private int getDistance(MotionEvent event) {\\n int dx = (int) (event.getX(0) - event.getX(1));\\n int dy = (int) (event.getY(0) - event.getY(1));\\n return (int) (Math.sqrt(dx * dx + dy * dy));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82a65151e9cc6b01bb3e2efe63a1ce1e\",\n \"score\": \"0.58269686\",\n \"text\": \"public double distanceFromOrigin() {\\n int localX, localY;\\n out:\\n {\\n // try a few times to do an optimistic read\\n for (int i = 0; i < RETRIES; i++) {\\n long stamp = sl.tryOptimisticRead();\\n localX = x;\\n localY = y;\\n if (sl.validate(stamp)) {\\n break out;\\n }\\n }\\n // pessimistic read\\n long stamp = sl.readLock();\\n try {\\n localX = x;\\n localY = y;\\n } finally {\\n sl.unlockRead(stamp);\\n }\\n }\\n return Math.hypot(localX, localY);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62ea35749145cfc608ab99c906cace98\",\n \"score\": \"0.58136386\",\n \"text\": \"public NodeD getPrev() {\\n return this.prev;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d5f0940e30fd79fdfda0ece5e8896290\",\n \"score\": \"0.5808177\",\n \"text\": \"float getPrevRearLeftTyreDelta();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4270d709e7756321ef1b042a33ed3f71\",\n \"score\": \"0.5805112\",\n \"text\": \"public double getDistanceTraveled() {\\r\\n\\t\\treturn distanceTraveled;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"36bab65263c6e5095a2c54a68abf4cc4\",\n \"score\": \"0.58007467\",\n \"text\": \"public float getDistance(Waypoint waypoint, IALatLng userPosition) {\\n /*\\n Using the Location class, because it provides methods to compute distance between\\n two location which contains latitude and longitude\\n */\\n Location locationA = new Location(\\\"Point A\\\");\\n locationA.setLatitude(userPosition.latitude);\\n locationA.setLongitude(userPosition.longitude);\\n\\n Location locationB = new Location(\\\"Point B\\\");\\n locationB.setLatitude(Float.parseFloat(waypoint.getLatitude()));\\n locationB.setLongitude(Float.parseFloat(waypoint.getLongitude()));\\n\\n /* This method returns the distance in meters between the locations. */\\n float distance = locationA.distanceTo(locationB);\\n\\n return distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39acbb2eff94682cfb61b6cdf31fb48b\",\n \"score\": \"0.57972103\",\n \"text\": \"public int getDistance(Point p);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e94b773da1f6faafe18fb12afbe4b380\",\n \"score\": \"0.57846504\",\n \"text\": \"public GeoPoint getPreviousPoint()\\r\\n\\t{\\r\\n\\t\\tif(polygonPointer == 0)\\r\\n\\t\\t{\\r\\n\\t\\t\\treturn polygon.get(polygonPointer);\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn polygon.get(polygonPointer-1);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cca10d96369df96d8bba3c5d14a0d2f0\",\n \"score\": \"0.5779136\",\n \"text\": \"public double getPrevTransaction() {\\n return previousTrans;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8bfd9ff710b4ff25cb641660b92212c0\",\n \"score\": \"0.57715917\",\n \"text\": \"public T caseCalcTaskDistanceFromPrevious(CalcTaskDistanceFromPrevious object) {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92f5d6cb8229708df82804b0d341477c\",\n \"score\": \"0.5764306\",\n \"text\": \"public float getDistance() {\\n float distance = 0;\\n if (_locations.size() < 2) return distance;\\n\\n for (int i = 1; i < _locations.size(); i++) {\\n Location a = _locations.get(i - 1);\\n Location b = _locations.get(i);\\n\\n distance += a.distanceTo(b);\\n }\\n\\n float theDistance = distance / 1000; // Convert meters to kilometers\\n return theDistance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"06c85489803950545e42d8407c6178ae\",\n \"score\": \"0.57604235\",\n \"text\": \"public double calcDistance(){\\n\\t\\t\\t\\tdouble result = Double.MIN_VALUE;\\n\\t\\t\\t\\tresult = Math.sqrt( \\n\\t\\t\\t\\t\\t\\t\\t(pointA.x - pointB.x) * (pointA.x - pointB.x) + \\n\\t\\t\\t\\t\\t\\t\\t(pointA.y - pointB.y) * (pointA.y - pointB.y) \\n\\t\\t\\t\\t\\t\\t); \\n\\t\\t\\t\\treturn result;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"752b7b7aef2cc66eef293b6cf9666b28\",\n \"score\": \"0.57594013\",\n \"text\": \"public int getPrevuPour() {\\n return prevuPour;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"338bd8393baf21b0f5d1840e04a7303d\",\n \"score\": \"0.5725586\",\n \"text\": \"public double getDistance() {\\n\\t\\treturn this.distance;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ebfb36a22c6ced0be15fc9110d2ab6a6\",\n \"score\": \"0.5718308\",\n \"text\": \"@Override\\r\\n\\tdouble getDistance() {\\n\\t\\treturn distance;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6fb0ec15b840ece19d5a8149da38404\",\n \"score\": \"0.5714079\",\n \"text\": \"float getTotalDistance();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cf98c5803b90916d9aadc3af376542fa\",\n \"score\": \"0.5714069\",\n \"text\": \"public double getDistance() {\\n return this.distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"216133291b2b8df3506fbfbc218b72d4\",\n \"score\": \"0.57057697\",\n \"text\": \"public long getDistanceZ(long z){\\r\\n\\t\\treturn Math.abs(this.upDown-upDown);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92593883cfe12b5006d6d084f1ed5723\",\n \"score\": \"0.5704474\",\n \"text\": \"public float eta(){\\n float distance;\\n if(reachDest()) {\\n distance = 0;\\n }else{\\n Intersection intersection;\\n if (currentRoad != null) {\\n intersection = route.nextIntersection(currentRoad);\\n } else {\\n intersection = route.nextIntersection(previousRoad);\\n }\\n\\n Point2D.Double pos = this.car.getPosition ();\\n if(route.isLastIntersection(intersection)){\\n distance = (float)pos.distance(dest);\\n } else{\\n distance = (float)pos.distance(intersection.pos);\\n distance += route.getIntersectionDist(intersection, this.dest);\\n }\\n //this code is not shown in the design diagrams\\n distance = distance - DEST_DISTANCE;\\n }\\n\\n return distance/AVERG_SPEED;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2e74e9c5db3b9364090c7bfb65e03a7\",\n \"score\": \"0.56926\",\n \"text\": \"float getPrevFrontTyreDelta();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"85e0bb0cbd362c9d5b04511827a6feea\",\n \"score\": \"0.5686743\",\n \"text\": \"public int getDistance() {\\n return distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"55a7c43f099c4785412198ee620e1c6e\",\n \"score\": \"0.56863874\",\n \"text\": \"@Override\\n public double getDistance()\\n {\\n double volt = getVoltage();\\n double cm = 56.2958 - (79.12745 * volt) + (43.04363 * Math.pow(volt, 2.0)) - (7.753581 * Math.pow(volt, 3.0));\\n return cm / 2.54;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"141c7707563f927b50438c77cfe12a2f\",\n \"score\": \"0.5681435\",\n \"text\": \"public void calcDistance() {\\n\\t\\tdistance = Math.abs(posX) + Math.abs(posY) + Math.abs(posZ);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"15169d2015596cc9d6d535c70ae7ff5e\",\n \"score\": \"0.5680646\",\n \"text\": \"public double getDistance() {\\n return distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"15169d2015596cc9d6d535c70ae7ff5e\",\n \"score\": \"0.5680646\",\n \"text\": \"public double getDistance() {\\n return distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"555bac4e23edb15f1f8179ef0623cde9\",\n \"score\": \"0.5677338\",\n \"text\": \"public double getDistance(Point3D point);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"38271193017172d8a29afbe4925750fe\",\n \"score\": \"0.5674034\",\n \"text\": \"public int getFinalDistance() {\\n\\t\\treturn handScorecard.getFinalDistance();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"192f2de8918da801c57aa83339b88bf2\",\n \"score\": \"0.5666936\",\n \"text\": \"public double getTotalDistanceTraveled() {\\n\\t\\treturn distanceTraveled;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"05144eb8aafc4e725e438361d2c91721\",\n \"score\": \"0.56599545\",\n \"text\": \"@Override\\n\\tpublic Double getDistance(AbstractFrame frame1, AbstractFrame frame2) {\\n\\t\\tFrame temp1, temp2;\\n\\t\\tdouble distance;\\n\\t\\tint temp;\\n\\t\\tif(frame1 == null){\\n\\t\\t\\tSystem.out.println(\\\"1. Frame wurde kein Wert zugewiesen\\\");\\n\\t\\t\\treturn null;\\n\\t\\t}else if(frame2 == null){\\n\\t\\t\\tSystem.out.println(\\\"2. Frame wurde kein Wert zugewiesen\\\");\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\t\\ttemp1 = frame1.copy();\\n\\t\\ttemp2 = frame2.copy();\\n\\t\\tSystem.out.print(\\\"Z Frame 1: \\\" + temp1.getZ());\\n\\t\\tdistance = temp1.getZ()-temp2.getZ();\\n\\t\\tdistance *= 100.0;\\n\\t\\ttemp = (int)distance;\\n\\t\\tdistance = (double)temp / 100.0;\\n\\t\\tSystem.out.println(\\\"Z-Abstand beträgt \\\"+distance+\\\" mm\\\");\\n\\t\\treturn distance;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed03b201fa33f4891d8387d769c2110e\",\n \"score\": \"0.5655016\",\n \"text\": \"public double getDistanceToGoal() { // Returns in inches\\n return 0.5808 * getCenterY() + 32.799;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"54396db7c11fafab5bc2056f0fd8c308\",\n \"score\": \"0.5645039\",\n \"text\": \"public double getDistance() {\\n\\t\\treturn distance;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0a61a07bb3efc02b147e29c656a3439f\",\n \"score\": \"0.5642581\",\n \"text\": \"private double getDistance(Node other) {\\n double ans = 0;\\n double x1 = lat;\\n double y1 = lng;\\n double x2 = other.getX();\\n double y2 = other.getY();\\n ans = Math.sqrt(Math.pow(x2 - x1,2) + Math.pow(y2 - y1,2));\\n\\n return ans;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d74b6d067e8a3b1e863339d9fab5a7e7\",\n \"score\": \"0.5635598\",\n \"text\": \"double excessDistance(){\\r\\n if(distance <= BASE_KM){\\r\\n return 0;\\r\\n }\\r\\n else{\\r\\n return distance - BASE_KM;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99bbd8bb979ae8df2d8a5e958cecdb8c\",\n \"score\": \"0.56263334\",\n \"text\": \"public float getDistance() {\\n return this.distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc7c6a5de0f5e52c4cb9d0a268d4914b\",\n \"score\": \"0.5625224\",\n \"text\": \"private void calculateClosestWaypoint(Game a_gameCopy)\\n {\\n double minDistance = Double.MAX_VALUE;\\n for(Waypoint way: a_gameCopy.getWaypoints())\\n {\\n if(!way.isCollected()) //Only consider those not collected yet.\\n {\\n double fx = way.s.x-a_gameCopy.getShip().s.x, fy = way.s.y-a_gameCopy.getShip().s.y;\\n double dist = Math.sqrt(fx*fx+fy*fy);\\n if( dist < minDistance )\\n {\\n //Keep the minimum distance.\\n minDistance = dist;\\n m_closestWaypoint = way;\\n }\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc7c6a5de0f5e52c4cb9d0a268d4914b\",\n \"score\": \"0.5625224\",\n \"text\": \"private void calculateClosestWaypoint(Game a_gameCopy)\\n {\\n double minDistance = Double.MAX_VALUE;\\n for(Waypoint way: a_gameCopy.getWaypoints())\\n {\\n if(!way.isCollected()) //Only consider those not collected yet.\\n {\\n double fx = way.s.x-a_gameCopy.getShip().s.x, fy = way.s.y-a_gameCopy.getShip().s.y;\\n double dist = Math.sqrt(fx*fx+fy*fy);\\n if( dist < minDistance )\\n {\\n //Keep the minimum distance.\\n minDistance = dist;\\n m_closestWaypoint = way;\\n }\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"21f4af65acd7f4adfdf043a4edcbb736\",\n \"score\": \"0.56245834\",\n \"text\": \"public Double getDistance() {\\n return distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"695cdce4da56598911e034de7a8b4941\",\n \"score\": \"0.5615417\",\n \"text\": \"public long getReturnToWaypoint() { return ReturnToWaypoint; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e17dffd78a018a7b00ba92ee56c558b2\",\n \"score\": \"0.56116015\",\n \"text\": \"public double getStoppingDistance() {\\r\\n return stoppingDistance;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cf8ad0de2e27c9c10112836db3b6f050\",\n \"score\": \"0.5604208\",\n \"text\": \"public synchronized float getLookDistance()\\n/* */ {\\n/* 17 */ return this.lookDistance;\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6232f5f8cc42d8c3ef9cb746e1bc6e92\",\n \"score\": \"0.5594661\",\n \"text\": \"public double getDistance (Point other) {\\n\\t\\tdouble deltaX = other.getX() - this.getX();\\n\\t\\tdouble deltaY = other.getY() - this.getY();\\n\\t\\treturn Math.sqrt (deltaX * deltaX + deltaY * deltaY);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd0a83de3a37eb8dc4928fc0eeea2189\",\n \"score\": \"0.55902404\",\n \"text\": \"public int getPrevious() {\\r\\n \\tint ret = this.iter.where;\\r\\n \\tthis.iter = this.iter.getPrev();\\r\\n return ret;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eee8de9c8efb33f45b68c60c3f540f12\",\n \"score\": \"0.55844647\",\n \"text\": \"public int getDistance() \\n {\\n return distance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c24858200eda777a9097e01299d65c1\",\n \"score\": \"0.5578187\",\n \"text\": \"public int getDistance() {\\n\\t\\treturn this.distance;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c24858200eda777a9097e01299d65c1\",\n \"score\": \"0.5578187\",\n \"text\": \"public int getDistance() {\\n\\t\\treturn this.distance;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"61b99111367fd2ae3e73ea5869b12068\",\n \"score\": \"0.55778587\",\n \"text\": \"public abstract double getDistance(Point p);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0191bfde9dfe14d732b2351364ab7fd7\",\n \"score\": \"0.5573517\",\n \"text\": \"public Direction getPrevious() {\\t\\t\\n\\t\\t\\t// Avoid an index less than zero by adding the length enum before subtracting 1.\\n\\t\\t\\treturn values()[(ordinal() + values().length -1) % values().length]; \\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"67660294d4188176addda5042d9d655b\",\n \"score\": \"0.5562673\",\n \"text\": \"@Override\\n\\tpublic int getDistance() {\\n\\t\\treturn ultrasonicSensor.getDistance();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3dc275a256044f46f73cc3fd142c92e1\",\n \"score\": \"0.55524063\",\n \"text\": \"public int getDistance() {\\n\\t\\treturn distance;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cb911f9a77592419506b2955b1564f3f\",\n \"score\": \"0.5550006\",\n \"text\": \"public Train getPrev(){ return this.previous; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd703cf2889a91a866404a1a9eb0779f\",\n \"score\": \"0.55388796\",\n \"text\": \"public long distanceToDepot() {\\n return location.distanceTo(vehicle.getLocation());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73c013a1892c23539747ceeb763fecbd\",\n \"score\": \"0.5523855\",\n \"text\": \"public Edge getPrev() {\\n\\t\\treturn prev;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2fcfb8c8078a5deea9f0cf58d6258998\",\n \"score\": \"0.55132526\",\n \"text\": \"@Override\\r\\n public double calcDistance(Point other) {\\r\\n return Math.sqrt(Math.pow(other.x - this.location.x, 2) + Math.pow(other.y - this.location.y, 2));\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4255a58ca1d553c913cf265bb0348f70\",\n \"score\": \"0.5497729\",\n \"text\": \"public String getBetweenDistance() {\\n\\t\\tGjcxService mGjcxService;\\n\\t\\tMap m = null ;\\n\\t\\tHashMap<String,Object> map;\\n\\t\\tList list;\\n\\t\\t\\n\\t\\ttry {\\n\\t\\t\\tmGjcxService = (GjcxService) factory.create(GjcxService.class, url_gjcx, this.mContext.get().getClassLoader());\\n\\t\\t\\tbusLinerDatail=(Map)mGjcxService.getBuslineDetail(linearName);\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t}\\n\\t\\tif(busLinerDatail==null)\\n\\t\\t\\treturn null;\\n\\t\\t if(orientation.equals(\\\"上行\\\")){\\n\\t\\t\\t m =(Map) busLinerDatail.get(\\\"upstream\\\");\\n\\t\\t }\\n\\t\\t else\\n\\t\\t\\t m =(Map) busLinerDatail.get(\\\"downstream\\\");\\n\\t\\t if(m==null) \\n\\t\\t\\t return null;\\n\\t\\t list=(List) m.get(\\\"list\\\");\\n\\t\\tfor(int i=0;i<list.size();i++)\\n\\t\\t{\\n\\t\\t map=new HashMap<String,Object>();\\n\\t\\t\\tstation=((HashMap<String,Object> ) list.get(i)) .get(\\\"STATIONNAME\\\").toString();\\n\\t\\t\\tlinerId=((HashMap<String,Object> ) list.get(i)) .get(\\\"LINEID\\\").toString();\\n\\t\\t\\tstationId=((HashMap<String,Object> ) list.get(i)) .get(\\\"STATIONID\\\").toString();\\n\\t\\t\\tdata.add(map);\\n\\t\\t\\t if(station.equals(stationName))\\n\\t\\t\\t\\t break;\\n\\t\\t}\\n\\t\\tSystem.out.println(busLinerDatail);\\n\\t\\treturn getDistance(linerId,stationId);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"826f0a9c29a6c2582e9a72fe46ffa8bc\",\n \"score\": \"0.54973304\",\n \"text\": \"public double getTargetDistance() {\\n return powercellTarget.getCameraToTarget().getY();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70912c0df70a19736eed349dd799ea18\",\n \"score\": \"0.5493484\",\n \"text\": \"public float getDistance() {\\r\\n\\t return distance;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"30bb0d7972711776f2c7b2ce43fc5770\",\n \"score\": \"0.5481611\",\n \"text\": \"public int getWeaponPrevY() {\\n\\t\\treturn weapon.getPrevY();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"afb9275060258417c0548c2188d3a524\",\n \"score\": \"0.5476585\",\n \"text\": \"private void calculateDistance() {\\n\\t\\tdouble dLat = Math.toRadians(destination.getLatitude() - origin.getLatitude());\\n\\t\\tdouble dLng = Math.toRadians(destination.getLongitude() - origin.getLongitude());\\n\\t\\tdouble angle =\\tMath.sin(dLat/2) * Math.sin(dLat/2) +\\n\\t \\t\\tMath.cos(Math.toRadians(destination.getLatitude())) * Math.cos(Math.toRadians(origin.getLatitude())) *\\n\\t \\t\\tMath.sin(dLng/2) * Math.sin(dLng/2);\\n\\t double c = 2 * Math.atan2(Math.sqrt(angle), Math.sqrt(1-angle));\\n\\t distance = EARTH_RADIUS * c;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"56d33ebaf19c3a987c330052184c2309\",\n \"score\": \"0.5466747\",\n \"text\": \"public double getDistanceTo(Shape other) {\\n\\t\\t// Der Lesbarkeit halber die einzelnen Summenteile vorher berechnen\\n\\t\\tdouble valueX = (x - other.x) * (x - other.x);\\n\\t\\tdouble valueY = (y - other.y) * (y - other.y);\\n\\t\\tdouble valueZ = (z - other.z) * (z - other.z);\\n\\n\\t\\t// Wurzel der Summe zurückgeben => Euklidischer Abstand\\n\\t\\treturn Math.sqrt(valueX + valueY + valueZ);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fe12f666cabd9aa04ae834b0d166a75f\",\n \"score\": \"0.54561824\",\n \"text\": \"public double distance() {\\n return distance(0, 0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d4676997125ee6dbd142e465a5b7cbf\",\n \"score\": \"0.54550046\",\n \"text\": \"private float getDistance(float point1, float point2){\\n return Math.abs(point1-point2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b968e12b8c41a99b9eec167b0e6bc1c2\",\n \"score\": \"0.5454694\",\n \"text\": \"public float calDistance(){\\n\\t\\tfloat result = (float) Point.distance(OPoint.getX(), OPoint.getY(), RPoint.getX(), RPoint.getY());\\n\\t\\treturn result;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dde24cd168dbd96f931947e833af4fa4\",\n \"score\": \"0.545102\",\n \"text\": \"public double getDistance() {\\n //condition checks if it has been 100 milliseconds since the write to the I2C port has been done (datasheet recommends 80 ms)\\n if (canRead()) {\\n ultrasonic.read(225, 2, data); //reads data into the byte array data\\n int highByte = data[0]; //highByte = first byte of 2 bytes returned from the read\\n int lowByte = data[1]; //lowByte = second byte of 2 bytes returned from the read\\n //values of the lowbyte greater than 127 overflow to -128 or greater, so negative values of lowbyte need to be adjusted\\n if (lowByte < 0) lowByte += 256;\\n double distance = ((256 * highByte) + lowByte) / 100.0; //shifting highByte 8 bits to the left, adding lowbyte, converting to m\\n ultrasonic.write(224, 81); //doing another reading\\n ultrasonicTimer.reset(); //resetting the timer\\n return distance;\\n }\\n return -1;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"24c86ca2a7466f12ae8b22cc60418069\",\n \"score\": \"0.5445712\",\n \"text\": \"public Double getDistanceToManeuver(){\\n return getDouble(KEY_MANEUVER_DISTANCE);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bce59b445acf81b915de090476959e36\",\n \"score\": \"0.5438729\",\n \"text\": \"public Node getPrev() {\\n return this.prev;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":983393,"cells":{"query_id":{"kind":"string","value":"306c7d2142f67e4f2a2883794714242e"},"query":{"kind":"string","value":"Basic test for Counter increment"},"positive_passages":{"kind":"list like","value":[{"docid":"73a9bc1f6b428e6b547d44ef62fcf80d","score":"0.84591836","text":"@Test\n\tpublic void testCounterIncrement() {\n\t\tfor (int i=0; i<this.incrementTo; i++) {\n\t\t\tthis.counter.increment(this.key1);\n\t\t}\n\t\tassertThat(this.counter.get(this.key1), is(this.incrementTo));\n\t}","title":""}],"string":"[\n {\n \"docid\": \"73a9bc1f6b428e6b547d44ef62fcf80d\",\n \"score\": \"0.84591836\",\n \"text\": \"@Test\\n\\tpublic void testCounterIncrement() {\\n\\t\\tfor (int i=0; i<this.incrementTo; i++) {\\n\\t\\t\\tthis.counter.increment(this.key1);\\n\\t\\t}\\n\\t\\tassertThat(this.counter.get(this.key1), is(this.incrementTo));\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"bf4ab3b17560ff6f8eeeedf0de0910cb","score":"0.7545409","text":"@Test\n\tpublic void testCounterGet() {\n\t\t// Test that value is not in Counter\n\t\tassertFalse(this.counter.containsKey(this.key1));\n\t\t// Increment value once\n\t\tthis.counter.increment(this.key1);\n\t\t// Get value\n\t\tassertThat(this.counter.get(this.key1), is(1));\n\t}","title":""},{"docid":"fdfebf6185d92249475a56febf0d6d10","score":"0.75232047","text":"public void incrementCounter() {\n counter++;\n }","title":""},{"docid":"dab7ad12887fb1d131ffab21c2ecb9a9","score":"0.74450266","text":"public void incrementCounter() throws RemoteException {\n \tdoOperation(\"incrementCounter\", \"\");\n }","title":""},{"docid":"6d9fbf18d3f52fe0f5625068e5ceab9e","score":"0.7387133","text":"public static void incrementCounter() {\n\t\tcounter++;\n\t\t\n\t}","title":""},{"docid":"eab49c5602dfa943eba8c6e29dc5a27e","score":"0.73202443","text":"@Test\n public void CounterTestAdd() {\n Counter counter = new Counter();\n\n counter.add(1);\n counter.add(2);\n counter.add(3);\n\n int expected = 6;\n\n assertEquals(expected, counter.getTotal());\n }","title":""},{"docid":"93fe14fe4333a95ad65bb6fa84ab214a","score":"0.73164946","text":"public static void incrementCounter() {\n\t\tcounter++;\n\t}","title":""},{"docid":"c494d13f4dedd10957818199c16ebab3","score":"0.7315378","text":"public void increment(){\n counter.getAndIncrement();\n }","title":""},{"docid":"2e6c5969191c09e80364e42808305b4a","score":"0.7272915","text":"public static void incrementCounter() {\r\n\t\tcounter = counter + 1;\r\n\t}","title":""},{"docid":"230cfca4d3c6bbd371b60469acfdfc70","score":"0.71584696","text":"@Test\n\tpublic void testCounterContainsKey() {\n\t\t// Make sure key is not in Counter\n\t\tassertFalse(this.counter.containsKey(this.key1));\n\t\t// Add key to Counter\n\t\tthis.counter.increment(this.key1);\n\t\t// Test that key is now in Counter\n\t\tassertTrue(this.counter.containsKey(this.key1));\n\t}","title":""},{"docid":"99be76be5a0265164ebf8c9244798d2c","score":"0.7055584","text":"public int incrementCount()\n\t{\n\t\t// TODO: Implement this method.\n\t}","title":""},{"docid":"21503b9fee326eeb1e167297f2f463b5","score":"0.70404","text":"@Test\n\tpublic void testCounterBasicConstructorFunctions() {\n\t\tthis.counter = new Counter<String>();\n\t\tthis.counter.increment(this.key1);\n\t\tassertTrue(this.counter.get(this.key1).equals(1));\n\t}","title":""},{"docid":"8b1892f3348c396e4331e9a0625c8c03","score":"0.70331603","text":"private int getCounter() {\n return counter.addAndGet(1);\n }","title":""},{"docid":"8f2126dd94dd77bf7f02f22fdc458183","score":"0.69653857","text":"@Test\n\tpublic void testCounterInitializeOverwrite() {\n\t\t// Increment key to 1\n\t\tthis.counter.increment(this.key1);\n\t\tassertThat(this.counter.get(this.key1), is(1));\n\t\t// Reset key to 0\n\t\tthis.counter.initialize(this.key1);\n\t\tassertThat(this.counter.get(this.key1), is(0));\n\t}","title":""},{"docid":"caca1f9526d29c4c2edf161f13eac59a","score":"0.6887138","text":"public void incCount() {\n this.count++;\n }","title":""},{"docid":"9b92d17b0ea564d1a73b4da87c6986ba","score":"0.68822014","text":"private void incrementCount() {\n ++this.count;\n }","title":""},{"docid":"fbf1aebab326f64b190efb5176c01476","score":"0.68725854","text":"@Override\r\n\t\t\t\t\tpublic void incrCounter(String arg0, String arg1, long arg2) {\n\t\t\t\t\t\t\r\n\t\t\t\t\t}","title":""},{"docid":"507611221310da22f98994cb73ee4a83","score":"0.6856882","text":"public void incrementCount( ){\r\n\t\tcount++;\r\n\t}","title":""},{"docid":"d0fae9e983bd72b2c82172e2ddb278c4","score":"0.68406105","text":"public int counterGetAndIncrement() {\n\t\treturn counter++;\n\t}","title":""},{"docid":"a2d9e3f15991bf84f1d8df9f6a012f0c","score":"0.6837036","text":"private synchronized void increment(){\n\t\tcounter++;\n\t}","title":""},{"docid":"85886e4678ad0f17979b329150edcbd8","score":"0.6836885","text":"public void incrementCount() {\n this.count++;\n }","title":""},{"docid":"b031731978e10990bb98c35ab9e43165","score":"0.68236357","text":"public synchronized void incr(){\n\t\t\t count++;\n\t }","title":""},{"docid":"1fbebd07a153eab4f83acd8712c1de10","score":"0.68153447","text":"public void increment(){\n\tcount++;\n\t}","title":""},{"docid":"969e419f613caf418737e7b522daeca7","score":"0.6801214","text":"public synchronized int increment()\r\n\t{\r\n\t\tcheckReport(1);\r\n\t\tcount++;\r\n\t\treturn(count);\r\n }","title":""},{"docid":"6ff849a1d504991a79dad2bfe4c585c2","score":"0.676438","text":"long increment();","title":""},{"docid":"6ff849a1d504991a79dad2bfe4c585c2","score":"0.676438","text":"long increment();","title":""},{"docid":"67fbb8132f73eec5738192851d65e2c9","score":"0.66969407","text":"boolean isCounter();","title":""},{"docid":"c357cf6b92fb54601c3e82f0777f26df","score":"0.6692328","text":"private SynchronizedCounterDemo() {\n\n\t}","title":""},{"docid":"d412070ed689c396237816961772a4c8","score":"0.66886926","text":"public synchronized void increment() {\r\n\t\tcount++;\r\n\t}","title":""},{"docid":"3c8857816dc8ad1f8b7c4f776cbc3aad","score":"0.66745365","text":"private void increment() {\n\t\tfor (int i = 0; i < 10000; i++) {\n\t\t\tcount++;\n\t\t}\n\t}","title":""},{"docid":"5525d24183f57f89c49e0bc9087fa84f","score":"0.6668591","text":"@Test\n public void increment() {\n Assert.assertEquals(6, counterLoop(new int[]{4, 3}, 2));\n Assert.assertEquals(10, counterLoop(new int[]{4, 3}, 3));\n // bigger limits give complex results\n int[] k = new int[]{5, 4, 3};\n Assert.assertEquals(51, counterLoop(k, 5));\n Assert.assertEquals(69, counterLoop(k, 6));\n // really big limits aren't really limits so we see all combinations\n Assert.assertEquals(6 * 5 * 4, counterLoop(k, 12));\n\n // regression tests, just because\n Assert.assertEquals(1001, counterLoop(Search.repI(10, 4), 10));\n Assert.assertEquals(10626, counterLoop(Search.repI(20, 4), 20));\n }","title":""},{"docid":"e65c8add42b64f7c885b51da27b88878","score":"0.6658141","text":"public synchronized void increment(){\n\t\tcount++;\n\t}","title":""},{"docid":"a12b058b15334760c9ec47b71e8399ee","score":"0.66551536","text":"@Test\n public void testEncodeSuccessCounter() {\n CounterEventTypes cet = CounterEventTypes.DS_ENCODE_SUCCESS;\n if(! statCounters.isCounterEnabled(cet)){\n Assert.fail(\"Counter \" + cet + \" is not enabled.\");\n }\n int count = 4;\n when(mockOut.readableBytes()).thenReturn(1);\n when(wrapper.getMsg()).thenReturn(mockMsg);\n try {\n for(int i = 0; i< count; i++){\n ocpEncoder.encode(mockChHndlrCtx, wrapper, mockOut);\n }\n } catch (Exception e) {\n Assert.fail();\n }\n Assert.assertEquals(\"Wrong - bad counter value for OCPEncoder encode succesfully \", count, statCounters.getCounter(cet).getCounterValue());\n }","title":""},{"docid":"ed81fc76bd1ccf43bcd39bca2d7c8722","score":"0.66055495","text":"@Test\n\tpublic void testCounterInitialize() {\n\t\t// Test that value is not in Counter\n\t\tassertFalse(this.counter.containsKey(this.key1));\n\t\t// Initialize\n\t\tthis.counter.initialize(this.key1);\n\t\t// Test that value is now in Counter\n\t\tassertThat(this.counter.get(this.key1), is(0));\n\t}","title":""},{"docid":"45090aac717e18297d512cb578ba938a","score":"0.65933436","text":"@Test\n\tpublic void testGameCounter() {\n\t\tassertEquals(model.getGameCounter(), 0);\n\t\t\n\t\t// Test increment game counter\n\t\tmodel.incrementGameCounter();\n\t\tassertEquals(model.getGameCounter(), 1);\n\t\tassertNotEquals(model.getGameCounter(), 0);\n\t\t\n\t\t// Test increment game counter\n\t\tmodel.decrementGameCounter();\n\t\tassertEquals(model.getGameCounter(), 0);\n\t\tassertNotEquals(model.getGameCounter(), 1);\n\t}","title":""},{"docid":"2d55faaae0c60d0c09b2c2e004a3919e","score":"0.65932757","text":"public long inc();","title":""},{"docid":"9ab05e79768cbb4d7e6cd1702df1422d","score":"0.65634197","text":"void incrementCount(){\n\t\tcount++;\n\t\tsCount++;\n\t}","title":""},{"docid":"3fedf71acfe397366bd21588c4db1d6a","score":"0.65375817","text":"@Test\n public void incrToken() throws Exception {\n checkToken(\" ++ \", \"INCR\");\n }","title":""},{"docid":"9facf8a969f9e2f2bbeb2ca221fe524a","score":"0.65364045","text":"public int increment();","title":""},{"docid":"cb73937e808322a5f7310376e068925b","score":"0.65204304","text":"@Override\r\n\tpublic void inc() {\n\t\tif(requestTotal == null)\r\n\t\t{\r\n\t\t\tthrow new IllegalStateException(\"Counter is not registered before calling method : inc\");\r\n\t\t}\r\n\t\trequestTotal.inc();\r\n\r\n\t}","title":""},{"docid":"4d817709e4dc9b1a469c4b8bd9f572d0","score":"0.6517048","text":"void increment();","title":""},{"docid":"4d817709e4dc9b1a469c4b8bd9f572d0","score":"0.6517048","text":"void increment();","title":""},{"docid":"4d817709e4dc9b1a469c4b8bd9f572d0","score":"0.6517048","text":"void increment();","title":""},{"docid":"401afde2658b7f8790ea7ed3f3353402","score":"0.6510804","text":"public void incrementCounter() {\n\t\tthis.moveCount += 1;\n\t}","title":""},{"docid":"1f59cc8f4143262f198ec974e41fc0bc","score":"0.6504665","text":"public void increaseCount(){\n this.count ++;\n }","title":""},{"docid":"5df4b647f3486adba5b3c0c4172aafeb","score":"0.64751095","text":"@Test\n void it_increments_if_request_context_available() {\n final RequestContext ctx = mock(RequestContext.class);\n when(ctxManager.get()).thenReturn(ctx);\n final CounterWithGauge inner = new SimpleCounter();\n counter = new RequestContextAwareCounter(bus, () -> inner, ctxManager, clock, store);\n when(ctx.get(counter.key)).thenReturn(inner);\n\n // WHEN increment twice then get\n counter.inc();\n counter.inc();\n final long value = counter.sample();\n\n // THEN counter is incremented to 2\n assertThat(value).isEqualTo(2);\n }","title":""},{"docid":"c4fc579c4b24da435f2228fbb7193192","score":"0.64583296","text":"@Override\r\n\t\t\t\t\tpublic void incrCounter(Enum<?> arg0, long arg1) {\n\t\t\t\t\t\t\r\n\t\t\t\t\t}","title":""},{"docid":"5a0008c11a3154aed1d297a0e4d24c19","score":"0.6453184","text":"public static void main(String[] args) {\n Counter counter = new Counter();\n\n //tests click()\n counter.click(); //adds 1 to value\n counter.click(); //adds 1 to value\n counter.click(); //adds 1 to value\n\n //tests getValue()\n System.out.println(\"value is: \" + counter.getValue()); //value should be 3\n System.out.println(\"expected is: 3\");\n\n //tests reset()\n counter.reset(); // resets value\n System.out.println(\"value is: \" + counter.getValue()); //value should reset to 0\n System.out.println(\"expected is: 0\");\n }","title":""},{"docid":"4e47f5481aebbbccb04081fcaba2ea5e","score":"0.64401513","text":"@Override\r\n\tpublic void Increment() {\n\t\t\r\n\t}","title":""},{"docid":"e7f2d78ddc449c75166a9989b23b7d51","score":"0.64384264","text":"public AppendCounterTest(String testName) {\r\n\r\n\t}","title":""},{"docid":"c892988ae1025d60001cc8d373c26afc","score":"0.64365363","text":"void incCount(int quantity);","title":""},{"docid":"5f8ce84aac105f7618a35305fa84a8f7","score":"0.6427573","text":"void m() {\n for (int i = 0; i < 10000; i++) {\n count++;\n /*count.incrementAndGet();*/\n }\n }","title":""},{"docid":"e57bf7dd70581c9c39156d90c753f86a","score":"0.6419865","text":"public int increment() {\n value++;\n System.out.println(\"---> Counter was incremented, \" + \"new value: \"\n + value + \" <---\");\n return value;\n }","title":""},{"docid":"140dc2674c7eac844d78466dc8ccb77e","score":"0.64050853","text":"@Override\n public int inc(Register register) {\n long[] value = value(register);\n value[0]++;\n return +1;\n }","title":""},{"docid":"544c5b0bb30435af10b3385a9c44efc7","score":"0.64010084","text":"@Override\n public long incrementCounter(final String key, final long value) {\n incrementMutableCounter(key, value);\n return super.incrementCounter(key, value);\n }","title":""},{"docid":"314f4a14b8c3a98826188eee6ee5c802","score":"0.63866156","text":"private void modCountPlusPlus()\r\n {\r\n modCount++;\r\n }","title":""},{"docid":"203065d52116ca72d416fd7c7936f25d","score":"0.6383827","text":"public void incrementCounter(String debug1) {\n/* 78 */ first.incrementCounter(debug1);\n/* 79 */ second.incrementCounter(debug1);\n/* */ }","title":""},{"docid":"4a1e52a9954cd842f72c729030c6a3fc","score":"0.6381671","text":"public static int count () {\n counter += 1;\n return counter;\n }","title":""},{"docid":"c2044a4824bfe8c2724bc03c3bdf8c26","score":"0.6374627","text":"private void incrementCounterValue(Integer value) {\n\t\ttry {\n\t\t\t//Obtenemos el valor del contador a partir del data almacenado en LockNode\n\t\t\tint lastCounter = getCounterValue();\n\t\t\tint newCounter = lastCounter + value;\n\t\t\tcounter = newCounter;\n\t\t\t//Lo convertimos en un array de bytes\n\t\t\tbyte[] d = ByteBuffer.allocate(4).putInt(newCounter).array();\n\t\t\tStat s = zk.exists(lockPath, false);\n\t\t\tzk.setData(lockPath, d, s.getVersion());\n\t\t} catch (Exception e) {\n\t\t\tSystem.out.println(\"Error: Incremento del contador erroneo\");\n\t\t\tSystem.out.println(\"Exception: \" + e);\n\t\t}\n\t}","title":""},{"docid":"341f405ae92b23d3581ace90e09bd5e2","score":"0.63671803","text":"public void counter() {\r\n\t\tcount = 0;\r\n\t}","title":""},{"docid":"bca47c86accdf6c478fe5872dd1eded3","score":"0.63518","text":"public int incrementCount() {\n\t\t\treturn ++count;\n\t\t}","title":""},{"docid":"a946750f6d41bcb478ee9da314e116e6","score":"0.63429856","text":"public void wrapperIncrement() {\n wrapper.increment();\n int localVar = wrapper.getVal();\n forceSwitch(3);\n //check for race condition! Wil it ever occur\n if (localVar != wrapper.getVal())\n System.err.println(\"wrapper-mismatch-%d\" + getId());\n else\n System.out.println(String.format(\"[wrapper-%d]\", getId(),wrapper.getVal()));\n }","title":""},{"docid":"ad8809b145db513ec56161af4c5067af","score":"0.633255","text":"private static synchronized int incrementIDCounter() {\n if (idCounter < 0) {\n idCounter = 0;\n }\n idCounter++;\n return idCounter;\n }","title":""},{"docid":"e8565fc7e7d4e8a3b30450fc0ca4506f","score":"0.632709","text":"Counter(int c){ // int c -> value not reference\n\t\tcount = c;\n\t\tsCount = c;\n\t}","title":""},{"docid":"182b1429245d749ad696a3c58dbdef66","score":"0.6326194","text":"@Test\n\tpublic void testCounterKeySet() {\n\t\t// Initialize target keySet\n\t\tSet<String> gold = new HashSet<String>();\n\t\t// Check if keySet is empty\n\t\tassertEquals(this.counter.keySet(), gold);\n\t\t// Add to sets\n\t\tthis.counter.increment(this.key1);\n\t\tgold.add(this.key1);\n\t\t// Check if keySet is correct\n\t\tassertEquals(this.counter.keySet(), gold);\n\t}","title":""},{"docid":"aa25af3284eb6b9af8cdacd9ee54bee2","score":"0.6308904","text":"@Test\n public void whenAddNewItemThenIncrase() {\n\tTracker tracker = new Tracker();\n\tfor (int i = 0; i < 5; i++) {\n\t tracker.add(new Item(Integer.toString(i), Integer.toString(i)));\n\t}\n\tint expected = 5;\n\tassertThat(tracker.size(), is(expected));\n }","title":""},{"docid":"28ffdecd7972c8557eb6689fbfd6b8cf","score":"0.62781316","text":"@Test\n\tpublic void testCounterGetEmpty() {\n\t\t// Test that value is not in Counter\n\t\tassertFalse(this.counter.containsKey(this.key1));\n\t\t// Get value\n\t\tassertThat(this.counter.get(this.key1), is(0));\n\t}","title":""},{"docid":"9a2006060134a04a40110ef0be4999eb","score":"0.6242283","text":"@Test\n public void testEncodeEncodeFailCounter() {\n CounterEventTypes cet = CounterEventTypes.DS_ENCODE_FAIL;\n if(! statCounters.isCounterEnabled(cet)){\n Assert.fail(\"Counter \" + cet + \" is not enabled.\");\n }\n int count = 2;\n when(wrapper.getMsg()).thenReturn(mockMsg);\n when(wrapper.getListener()).thenReturn(listener);\n doThrow(new IllegalArgumentException()).when(mockSerializationFactory).messageToBuffer(anyShort(),any(ByteBuf.class), any(DataObject.class));\n try {\n for(int i = 0; i< count; i++){\n ocpEncoder.encode(mockChHndlrCtx, wrapper, mockOut);\n }\n } catch (Exception e) {\n Assert.fail();\n }\n Assert.assertEquals(\"Wrong - bad counter value for OCPEncoder fail encode\", count, statCounters.getCounter(cet).getCounterValue());\n }","title":""},{"docid":"ae21e5559568ad1091ad8bd6f0dcd2d6","score":"0.6218238","text":"public synchronized static void incrementCount(){\n\t\tcallCount++;\n\t\tSystem.out.println(\"incrementing callcount, newValue:\" + callCount);\n\t}","title":""},{"docid":"db26ffd19459b2c744df55875804d264","score":"0.62167037","text":"public int increment() {\r\n return i++;\r\n }","title":""},{"docid":"ae119f6c0019492cc0468e2c21476c50","score":"0.62166524","text":"int getInc() {\n return indexCount++;\n }","title":""},{"docid":"2d4b9e9d9fdb4880f4ecc53da96670b2","score":"0.6196321","text":"public void increment () { ++value; }","title":""},{"docid":"990bfebfe00b6a4b0f253f5867c04ceb","score":"0.6188399","text":"public void incrementTurnCounter() {\r\n turnCounter++;\r\n }","title":""},{"docid":"a4678b07a1757819e29a8bd896386f83","score":"0.6185474","text":"private void incrementMutableCounter(final String name, final long count) {\n if (count > 0) {\n MutableCounterLong counter = lookupCounter(name);\n if (counter != null) {\n counter.incr(count);\n }\n }\n }","title":""},{"docid":"db2d79ebb07b748a80c2f606e7e26a12","score":"0.61599463","text":"public void incrementCounter(Statistic op, AtomicLong count) {\n incrementCounter(op, count.get());\n }","title":""},{"docid":"6ef6c8734318d804cef07c726c763a99","score":"0.6154451","text":"@Test\n public void testCounterInitialisation() {\n TurnCounter t = new TurnCounter();\n Assert.assertEquals(0, t.getTurns());\n Assert.assertEquals(\"Turns made: 0\", t.toString());\n\n // Test turn counter limited by a certain number of turns\n LimitedTurnCounter t2 = new LimitedTurnCounter(10);\n Assert.assertEquals(0, t2.getTurns());\n Assert.assertEquals(10, t2.getTurnLimit());\n Assert.assertEquals(\"Limit: 10; Turns made: 0\", t2.toString());\n\n }","title":""},{"docid":"e916405d9e9d045e296e0613ba095aa6","score":"0.6148996","text":"void updateIncrement();","title":""},{"docid":"a30d4d48267250c53e2779538c6f6d6a","score":"0.6130715","text":"public static void increment(){\n num++;\n }","title":""},{"docid":"4d7f16da600a8bf2eaacaa406deeef6f","score":"0.61297685","text":"private long incrementNamedCounter(final String name,\n final long count) {\n if (count != 0) {\n incrementMutableCounter(name, count);\n return instanceIOStatistics.incrementCounter(name, count);\n } else {\n return 0;\n }\n }","title":""},{"docid":"302226cf41125e75b31d4dc0766f0cfe","score":"0.611723","text":"public void increment()\r\n {\r\n if (canIncrement())\r\n {\r\n value += increment;\r\n fireModelChanged();\r\n }\r\n else\r\n {\r\n throw new CounterModificationNotPossibleException(\"can't increment\");\r\n }\r\n\r\n }","title":""},{"docid":"a4bc4f58583498e92d4c63295b4013eb","score":"0.6103512","text":"public void incrementCounter(Statistic op, long count) {\n incrementNamedCounter(op.getSymbol(), count);\n }","title":""},{"docid":"8f68af03799d4cb2aecc4addd2153ae0","score":"0.6098891","text":"protected void incrModCount() {\n _modCount++;\n }","title":""},{"docid":"e526ead92773112a433fee8440637128","score":"0.6092402","text":"void increase(int number) {\r\n this.count += number;\r\n }","title":""},{"docid":"5aefc09ee89b3ca069095b6ee14b71fb","score":"0.6091638","text":"public Counter() {\n\t\tcountA++;\n\t\tcountB++;\n\t}","title":""},{"docid":"7d4fef789d4e2d106c2cc1481674bc70","score":"0.60885113","text":"public void incrNComp() { this.nComp++; }","title":""},{"docid":"9b48e4a470a218539d4b1a48f4346257","score":"0.6072815","text":"int getIncrement();","title":""},{"docid":"699dcdbb5e24fb4deecbf49b63092d11","score":"0.60700375","text":"public void testGetCounts() throws Exception {\n //TODO: Test goes here...\n }","title":""},{"docid":"32ac3e0e61d3d5abd9fcfed3d7b89afa","score":"0.60650253","text":"@Test\n public void testAdd_1(){\n int result= adder.add(0,0);\n Assertions.assertEquals(0,result);\n }","title":""},{"docid":"99b22927f0d7d91e91c16f45ffa5e248","score":"0.60552245","text":"public Counter() {\n counter = 0;\n }","title":""},{"docid":"b2b0e7e8893a765c8543e4a1191f5541","score":"0.6054061","text":"@Test\n public void compactionRetryCountTest() {\n // TODO: test compactionRetryCount\n }","title":""},{"docid":"eddf1ea8d7a8a5e88eb2552507c7efa6","score":"0.60514164","text":"@Test\n public void testLoopFrom1To5UsingCounterMock() {\n assertEquals(0, mock(\"v <\\n>it:.5-|\\n @\"));\n }","title":""},{"docid":"76ef7d4b011ae4778ba4b7c741a577ab","score":"0.6046791","text":"private void incrementRowIdCounter() {\n\t\tthis.rowIdCounter++;\n\t\tLOGGER.log(Level.INFO, \"Incremented rowIdCounter new value: {0}\", rowIdCounter);\n\t}","title":""},{"docid":"3c46c4b4bc9d1398d0907fdfa6940de0","score":"0.6045458","text":"@Test\n public void testCounterReset() {\n TurnCounter t = new TurnCounter();\n Assert.assertEquals(0, t.getTurns());\n t.incrementTurn();\n Assert.assertEquals(1, t.getTurns());\n t.reset();\n Assert.assertEquals(0, t.getTurns());\n\n // Test turn counter limited by a certain number of turns\n LimitedTurnCounter t2 = new LimitedTurnCounter(10);\n Assert.assertEquals(0, t2.getTurns());\n t2.incrementTurn();\n Assert.assertEquals(1, t2.getTurns());\n t2.changeTurns(8);\n Assert.assertEquals(9, t2.getTurns());\n t2.reset();\n Assert.assertEquals(0, t.getTurns());\n }","title":""},{"docid":"3414b280d1b2ac0bed57fdf5bfa8a9b7","score":"0.60288465","text":"@Before\n\tpublic void setUpCounterTest() {\n\t\tthis.counter = new Counter<String>();\n\t}","title":""},{"docid":"b7bb5f2fc4e28509739bc250e978926d","score":"0.60284436","text":"public abstract Counter<T> addValue(T value);","title":""},{"docid":"abc45949e9c4fc677af01221c61a0544","score":"0.60243636","text":"public void incrementCount() {\n ++itemCount;\n }","title":""},{"docid":"438b461d1aa7b08644e42ea8a06328b0","score":"0.6017584","text":"public void incrementNumInts(){numInts++;}","title":""},{"docid":"f7fa8602cfa6b75872f38e6bf8b3e058","score":"0.6012869","text":"@Test\n public void testIncrementAColumnThatIsNotACounter() throws Exception {\n try {\n mWriter.increment(mTable.getEntityId(\"foo\"), \"info\", \"name\", 5L);\n fail(\"An exception should have been thrown.\");\n } catch (IOException ioe) {\n assertEquals(\"Column 'info:name' is not a counter\", ioe.getMessage());\n }\n }","title":""},{"docid":"efb51400431275d7d5dbcfdb4e4c53ec","score":"0.60110795","text":"@Test\n public void CounterTestAddArray() {\n\n //arrange\n Counter counter = new Counter();\n int[] numbers = new int[] {1,2,3};\n\n //act\n counter.add(numbers);\n int actual = counter.getTotal(); //Zijn persoonlijke voorkeur is zo opschrijven (niet op het laatst pas rekenen maar hier):\n\n //assert\n int expected = 6;\n assertEquals(expected, actual);\n }","title":""},{"docid":"71245b834556fce2f04ea5faa1bb1a97","score":"0.6010626","text":"private void updateCounter(Card card) {\n AtomicInteger countValue = new AtomicInteger(card.getHitCount());\n card.setHitCount(countValue.getAndIncrement());\n cardRepository\n .findById(card.getId())\n .ifPresent(cardUpdate -> {\n cardUpdate.setHitCount(countValue.getAndIncrement());\n cardRepository.save(cardUpdate);\n });\n }","title":""},{"docid":"4a24fc0c03919ed83ed42575764d01c1","score":"0.5999204","text":"@Test\n public void testCache() {\n System.out.println(\"cache\");\n SyllableCounter sc = new SyllableCounter(1);\n sc.count(\"hai\");\n sc.count(\"hai\");\n }","title":""}],"string":"[\n {\n \"docid\": \"bf4ab3b17560ff6f8eeeedf0de0910cb\",\n \"score\": \"0.7545409\",\n \"text\": \"@Test\\n\\tpublic void testCounterGet() {\\n\\t\\t// Test that value is not in Counter\\n\\t\\tassertFalse(this.counter.containsKey(this.key1));\\n\\t\\t// Increment value once\\n\\t\\tthis.counter.increment(this.key1);\\n\\t\\t// Get value\\n\\t\\tassertThat(this.counter.get(this.key1), is(1));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdfebf6185d92249475a56febf0d6d10\",\n \"score\": \"0.75232047\",\n \"text\": \"public void incrementCounter() {\\n counter++;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dab7ad12887fb1d131ffab21c2ecb9a9\",\n \"score\": \"0.74450266\",\n \"text\": \"public void incrementCounter() throws RemoteException {\\n \\tdoOperation(\\\"incrementCounter\\\", \\\"\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d9fbf18d3f52fe0f5625068e5ceab9e\",\n \"score\": \"0.7387133\",\n \"text\": \"public static void incrementCounter() {\\n\\t\\tcounter++;\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eab49c5602dfa943eba8c6e29dc5a27e\",\n \"score\": \"0.73202443\",\n \"text\": \"@Test\\n public void CounterTestAdd() {\\n Counter counter = new Counter();\\n\\n counter.add(1);\\n counter.add(2);\\n counter.add(3);\\n\\n int expected = 6;\\n\\n assertEquals(expected, counter.getTotal());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93fe14fe4333a95ad65bb6fa84ab214a\",\n \"score\": \"0.73164946\",\n \"text\": \"public static void incrementCounter() {\\n\\t\\tcounter++;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c494d13f4dedd10957818199c16ebab3\",\n \"score\": \"0.7315378\",\n \"text\": \"public void increment(){\\n counter.getAndIncrement();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e6c5969191c09e80364e42808305b4a\",\n \"score\": \"0.7272915\",\n \"text\": \"public static void incrementCounter() {\\r\\n\\t\\tcounter = counter + 1;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"230cfca4d3c6bbd371b60469acfdfc70\",\n \"score\": \"0.71584696\",\n \"text\": \"@Test\\n\\tpublic void testCounterContainsKey() {\\n\\t\\t// Make sure key is not in Counter\\n\\t\\tassertFalse(this.counter.containsKey(this.key1));\\n\\t\\t// Add key to Counter\\n\\t\\tthis.counter.increment(this.key1);\\n\\t\\t// Test that key is now in Counter\\n\\t\\tassertTrue(this.counter.containsKey(this.key1));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99be76be5a0265164ebf8c9244798d2c\",\n \"score\": \"0.7055584\",\n \"text\": \"public int incrementCount()\\n\\t{\\n\\t\\t// TODO: Implement this method.\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"21503b9fee326eeb1e167297f2f463b5\",\n \"score\": \"0.70404\",\n \"text\": \"@Test\\n\\tpublic void testCounterBasicConstructorFunctions() {\\n\\t\\tthis.counter = new Counter<String>();\\n\\t\\tthis.counter.increment(this.key1);\\n\\t\\tassertTrue(this.counter.get(this.key1).equals(1));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b1892f3348c396e4331e9a0625c8c03\",\n \"score\": \"0.70331603\",\n \"text\": \"private int getCounter() {\\n return counter.addAndGet(1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f2126dd94dd77bf7f02f22fdc458183\",\n \"score\": \"0.69653857\",\n \"text\": \"@Test\\n\\tpublic void testCounterInitializeOverwrite() {\\n\\t\\t// Increment key to 1\\n\\t\\tthis.counter.increment(this.key1);\\n\\t\\tassertThat(this.counter.get(this.key1), is(1));\\n\\t\\t// Reset key to 0\\n\\t\\tthis.counter.initialize(this.key1);\\n\\t\\tassertThat(this.counter.get(this.key1), is(0));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"caca1f9526d29c4c2edf161f13eac59a\",\n \"score\": \"0.6887138\",\n \"text\": \"public void incCount() {\\n this.count++;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9b92d17b0ea564d1a73b4da87c6986ba\",\n \"score\": \"0.68822014\",\n \"text\": \"private void incrementCount() {\\n ++this.count;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbf1aebab326f64b190efb5176c01476\",\n \"score\": \"0.68725854\",\n \"text\": \"@Override\\r\\n\\t\\t\\t\\t\\tpublic void incrCounter(String arg0, String arg1, long arg2) {\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"507611221310da22f98994cb73ee4a83\",\n \"score\": \"0.6856882\",\n \"text\": \"public void incrementCount( ){\\r\\n\\t\\tcount++;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d0fae9e983bd72b2c82172e2ddb278c4\",\n \"score\": \"0.68406105\",\n \"text\": \"public int counterGetAndIncrement() {\\n\\t\\treturn counter++;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2d9e3f15991bf84f1d8df9f6a012f0c\",\n \"score\": \"0.6837036\",\n \"text\": \"private synchronized void increment(){\\n\\t\\tcounter++;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"85886e4678ad0f17979b329150edcbd8\",\n \"score\": \"0.6836885\",\n \"text\": \"public void incrementCount() {\\n this.count++;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b031731978e10990bb98c35ab9e43165\",\n \"score\": \"0.68236357\",\n \"text\": \"public synchronized void incr(){\\n\\t\\t\\t count++;\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fbebd07a153eab4f83acd8712c1de10\",\n \"score\": \"0.68153447\",\n \"text\": \"public void increment(){\\n\\tcount++;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"969e419f613caf418737e7b522daeca7\",\n \"score\": \"0.6801214\",\n \"text\": \"public synchronized int increment()\\r\\n\\t{\\r\\n\\t\\tcheckReport(1);\\r\\n\\t\\tcount++;\\r\\n\\t\\treturn(count);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6ff849a1d504991a79dad2bfe4c585c2\",\n \"score\": \"0.676438\",\n \"text\": \"long increment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6ff849a1d504991a79dad2bfe4c585c2\",\n \"score\": \"0.676438\",\n \"text\": \"long increment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"67fbb8132f73eec5738192851d65e2c9\",\n \"score\": \"0.66969407\",\n \"text\": \"boolean isCounter();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c357cf6b92fb54601c3e82f0777f26df\",\n \"score\": \"0.6692328\",\n \"text\": \"private SynchronizedCounterDemo() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d412070ed689c396237816961772a4c8\",\n \"score\": \"0.66886926\",\n \"text\": \"public synchronized void increment() {\\r\\n\\t\\tcount++;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3c8857816dc8ad1f8b7c4f776cbc3aad\",\n \"score\": \"0.66745365\",\n \"text\": \"private void increment() {\\n\\t\\tfor (int i = 0; i < 10000; i++) {\\n\\t\\t\\tcount++;\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5525d24183f57f89c49e0bc9087fa84f\",\n \"score\": \"0.6668591\",\n \"text\": \"@Test\\n public void increment() {\\n Assert.assertEquals(6, counterLoop(new int[]{4, 3}, 2));\\n Assert.assertEquals(10, counterLoop(new int[]{4, 3}, 3));\\n // bigger limits give complex results\\n int[] k = new int[]{5, 4, 3};\\n Assert.assertEquals(51, counterLoop(k, 5));\\n Assert.assertEquals(69, counterLoop(k, 6));\\n // really big limits aren't really limits so we see all combinations\\n Assert.assertEquals(6 * 5 * 4, counterLoop(k, 12));\\n\\n // regression tests, just because\\n Assert.assertEquals(1001, counterLoop(Search.repI(10, 4), 10));\\n Assert.assertEquals(10626, counterLoop(Search.repI(20, 4), 20));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e65c8add42b64f7c885b51da27b88878\",\n \"score\": \"0.6658141\",\n \"text\": \"public synchronized void increment(){\\n\\t\\tcount++;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a12b058b15334760c9ec47b71e8399ee\",\n \"score\": \"0.66551536\",\n \"text\": \"@Test\\n public void testEncodeSuccessCounter() {\\n CounterEventTypes cet = CounterEventTypes.DS_ENCODE_SUCCESS;\\n if(! statCounters.isCounterEnabled(cet)){\\n Assert.fail(\\\"Counter \\\" + cet + \\\" is not enabled.\\\");\\n }\\n int count = 4;\\n when(mockOut.readableBytes()).thenReturn(1);\\n when(wrapper.getMsg()).thenReturn(mockMsg);\\n try {\\n for(int i = 0; i< count; i++){\\n ocpEncoder.encode(mockChHndlrCtx, wrapper, mockOut);\\n }\\n } catch (Exception e) {\\n Assert.fail();\\n }\\n Assert.assertEquals(\\\"Wrong - bad counter value for OCPEncoder encode succesfully \\\", count, statCounters.getCounter(cet).getCounterValue());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed81fc76bd1ccf43bcd39bca2d7c8722\",\n \"score\": \"0.66055495\",\n \"text\": \"@Test\\n\\tpublic void testCounterInitialize() {\\n\\t\\t// Test that value is not in Counter\\n\\t\\tassertFalse(this.counter.containsKey(this.key1));\\n\\t\\t// Initialize\\n\\t\\tthis.counter.initialize(this.key1);\\n\\t\\t// Test that value is now in Counter\\n\\t\\tassertThat(this.counter.get(this.key1), is(0));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"45090aac717e18297d512cb578ba938a\",\n \"score\": \"0.65933436\",\n \"text\": \"@Test\\n\\tpublic void testGameCounter() {\\n\\t\\tassertEquals(model.getGameCounter(), 0);\\n\\t\\t\\n\\t\\t// Test increment game counter\\n\\t\\tmodel.incrementGameCounter();\\n\\t\\tassertEquals(model.getGameCounter(), 1);\\n\\t\\tassertNotEquals(model.getGameCounter(), 0);\\n\\t\\t\\n\\t\\t// Test increment game counter\\n\\t\\tmodel.decrementGameCounter();\\n\\t\\tassertEquals(model.getGameCounter(), 0);\\n\\t\\tassertNotEquals(model.getGameCounter(), 1);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d55faaae0c60d0c09b2c2e004a3919e\",\n \"score\": \"0.65932757\",\n \"text\": \"public long inc();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9ab05e79768cbb4d7e6cd1702df1422d\",\n \"score\": \"0.65634197\",\n \"text\": \"void incrementCount(){\\n\\t\\tcount++;\\n\\t\\tsCount++;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3fedf71acfe397366bd21588c4db1d6a\",\n \"score\": \"0.65375817\",\n \"text\": \"@Test\\n public void incrToken() throws Exception {\\n checkToken(\\\" ++ \\\", \\\"INCR\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9facf8a969f9e2f2bbeb2ca221fe524a\",\n \"score\": \"0.65364045\",\n \"text\": \"public int increment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cb73937e808322a5f7310376e068925b\",\n \"score\": \"0.65204304\",\n \"text\": \"@Override\\r\\n\\tpublic void inc() {\\n\\t\\tif(requestTotal == null)\\r\\n\\t\\t{\\r\\n\\t\\t\\tthrow new IllegalStateException(\\\"Counter is not registered before calling method : inc\\\");\\r\\n\\t\\t}\\r\\n\\t\\trequestTotal.inc();\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4d817709e4dc9b1a469c4b8bd9f572d0\",\n \"score\": \"0.6517048\",\n \"text\": \"void increment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4d817709e4dc9b1a469c4b8bd9f572d0\",\n \"score\": \"0.6517048\",\n \"text\": \"void increment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4d817709e4dc9b1a469c4b8bd9f572d0\",\n \"score\": \"0.6517048\",\n \"text\": \"void increment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"401afde2658b7f8790ea7ed3f3353402\",\n \"score\": \"0.6510804\",\n \"text\": \"public void incrementCounter() {\\n\\t\\tthis.moveCount += 1;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f59cc8f4143262f198ec974e41fc0bc\",\n \"score\": \"0.6504665\",\n \"text\": \"public void increaseCount(){\\n this.count ++;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5df4b647f3486adba5b3c0c4172aafeb\",\n \"score\": \"0.64751095\",\n \"text\": \"@Test\\n void it_increments_if_request_context_available() {\\n final RequestContext ctx = mock(RequestContext.class);\\n when(ctxManager.get()).thenReturn(ctx);\\n final CounterWithGauge inner = new SimpleCounter();\\n counter = new RequestContextAwareCounter(bus, () -> inner, ctxManager, clock, store);\\n when(ctx.get(counter.key)).thenReturn(inner);\\n\\n // WHEN increment twice then get\\n counter.inc();\\n counter.inc();\\n final long value = counter.sample();\\n\\n // THEN counter is incremented to 2\\n assertThat(value).isEqualTo(2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4fc579c4b24da435f2228fbb7193192\",\n \"score\": \"0.64583296\",\n \"text\": \"@Override\\r\\n\\t\\t\\t\\t\\tpublic void incrCounter(Enum<?> arg0, long arg1) {\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a0008c11a3154aed1d297a0e4d24c19\",\n \"score\": \"0.6453184\",\n \"text\": \"public static void main(String[] args) {\\n Counter counter = new Counter();\\n\\n //tests click()\\n counter.click(); //adds 1 to value\\n counter.click(); //adds 1 to value\\n counter.click(); //adds 1 to value\\n\\n //tests getValue()\\n System.out.println(\\\"value is: \\\" + counter.getValue()); //value should be 3\\n System.out.println(\\\"expected is: 3\\\");\\n\\n //tests reset()\\n counter.reset(); // resets value\\n System.out.println(\\\"value is: \\\" + counter.getValue()); //value should reset to 0\\n System.out.println(\\\"expected is: 0\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e47f5481aebbbccb04081fcaba2ea5e\",\n \"score\": \"0.64401513\",\n \"text\": \"@Override\\r\\n\\tpublic void Increment() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e7f2d78ddc449c75166a9989b23b7d51\",\n \"score\": \"0.64384264\",\n \"text\": \"public AppendCounterTest(String testName) {\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c892988ae1025d60001cc8d373c26afc\",\n \"score\": \"0.64365363\",\n \"text\": \"void incCount(int quantity);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f8ce84aac105f7618a35305fa84a8f7\",\n \"score\": \"0.6427573\",\n \"text\": \"void m() {\\n for (int i = 0; i < 10000; i++) {\\n count++;\\n /*count.incrementAndGet();*/\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e57bf7dd70581c9c39156d90c753f86a\",\n \"score\": \"0.6419865\",\n \"text\": \"public int increment() {\\n value++;\\n System.out.println(\\\"---> Counter was incremented, \\\" + \\\"new value: \\\"\\n + value + \\\" <---\\\");\\n return value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"140dc2674c7eac844d78466dc8ccb77e\",\n \"score\": \"0.64050853\",\n \"text\": \"@Override\\n public int inc(Register register) {\\n long[] value = value(register);\\n value[0]++;\\n return +1;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"544c5b0bb30435af10b3385a9c44efc7\",\n \"score\": \"0.64010084\",\n \"text\": \"@Override\\n public long incrementCounter(final String key, final long value) {\\n incrementMutableCounter(key, value);\\n return super.incrementCounter(key, value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"314f4a14b8c3a98826188eee6ee5c802\",\n \"score\": \"0.63866156\",\n \"text\": \"private void modCountPlusPlus()\\r\\n {\\r\\n modCount++;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"203065d52116ca72d416fd7c7936f25d\",\n \"score\": \"0.6383827\",\n \"text\": \"public void incrementCounter(String debug1) {\\n/* 78 */ first.incrementCounter(debug1);\\n/* 79 */ second.incrementCounter(debug1);\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4a1e52a9954cd842f72c729030c6a3fc\",\n \"score\": \"0.6381671\",\n \"text\": \"public static int count () {\\n counter += 1;\\n return counter;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2044a4824bfe8c2724bc03c3bdf8c26\",\n \"score\": \"0.6374627\",\n \"text\": \"private void incrementCounterValue(Integer value) {\\n\\t\\ttry {\\n\\t\\t\\t//Obtenemos el valor del contador a partir del data almacenado en LockNode\\n\\t\\t\\tint lastCounter = getCounterValue();\\n\\t\\t\\tint newCounter = lastCounter + value;\\n\\t\\t\\tcounter = newCounter;\\n\\t\\t\\t//Lo convertimos en un array de bytes\\n\\t\\t\\tbyte[] d = ByteBuffer.allocate(4).putInt(newCounter).array();\\n\\t\\t\\tStat s = zk.exists(lockPath, false);\\n\\t\\t\\tzk.setData(lockPath, d, s.getVersion());\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tSystem.out.println(\\\"Error: Incremento del contador erroneo\\\");\\n\\t\\t\\tSystem.out.println(\\\"Exception: \\\" + e);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"341f405ae92b23d3581ace90e09bd5e2\",\n \"score\": \"0.63671803\",\n \"text\": \"public void counter() {\\r\\n\\t\\tcount = 0;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bca47c86accdf6c478fe5872dd1eded3\",\n \"score\": \"0.63518\",\n \"text\": \"public int incrementCount() {\\n\\t\\t\\treturn ++count;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a946750f6d41bcb478ee9da314e116e6\",\n \"score\": \"0.63429856\",\n \"text\": \"public void wrapperIncrement() {\\n wrapper.increment();\\n int localVar = wrapper.getVal();\\n forceSwitch(3);\\n //check for race condition! Wil it ever occur\\n if (localVar != wrapper.getVal())\\n System.err.println(\\\"wrapper-mismatch-%d\\\" + getId());\\n else\\n System.out.println(String.format(\\\"[wrapper-%d]\\\", getId(),wrapper.getVal()));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad8809b145db513ec56161af4c5067af\",\n \"score\": \"0.633255\",\n \"text\": \"private static synchronized int incrementIDCounter() {\\n if (idCounter < 0) {\\n idCounter = 0;\\n }\\n idCounter++;\\n return idCounter;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e8565fc7e7d4e8a3b30450fc0ca4506f\",\n \"score\": \"0.632709\",\n \"text\": \"Counter(int c){ // int c -> value not reference\\n\\t\\tcount = c;\\n\\t\\tsCount = c;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"182b1429245d749ad696a3c58dbdef66\",\n \"score\": \"0.6326194\",\n \"text\": \"@Test\\n\\tpublic void testCounterKeySet() {\\n\\t\\t// Initialize target keySet\\n\\t\\tSet<String> gold = new HashSet<String>();\\n\\t\\t// Check if keySet is empty\\n\\t\\tassertEquals(this.counter.keySet(), gold);\\n\\t\\t// Add to sets\\n\\t\\tthis.counter.increment(this.key1);\\n\\t\\tgold.add(this.key1);\\n\\t\\t// Check if keySet is correct\\n\\t\\tassertEquals(this.counter.keySet(), gold);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa25af3284eb6b9af8cdacd9ee54bee2\",\n \"score\": \"0.6308904\",\n \"text\": \"@Test\\n public void whenAddNewItemThenIncrase() {\\n\\tTracker tracker = new Tracker();\\n\\tfor (int i = 0; i < 5; i++) {\\n\\t tracker.add(new Item(Integer.toString(i), Integer.toString(i)));\\n\\t}\\n\\tint expected = 5;\\n\\tassertThat(tracker.size(), is(expected));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28ffdecd7972c8557eb6689fbfd6b8cf\",\n \"score\": \"0.62781316\",\n \"text\": \"@Test\\n\\tpublic void testCounterGetEmpty() {\\n\\t\\t// Test that value is not in Counter\\n\\t\\tassertFalse(this.counter.containsKey(this.key1));\\n\\t\\t// Get value\\n\\t\\tassertThat(this.counter.get(this.key1), is(0));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a2006060134a04a40110ef0be4999eb\",\n \"score\": \"0.6242283\",\n \"text\": \"@Test\\n public void testEncodeEncodeFailCounter() {\\n CounterEventTypes cet = CounterEventTypes.DS_ENCODE_FAIL;\\n if(! statCounters.isCounterEnabled(cet)){\\n Assert.fail(\\\"Counter \\\" + cet + \\\" is not enabled.\\\");\\n }\\n int count = 2;\\n when(wrapper.getMsg()).thenReturn(mockMsg);\\n when(wrapper.getListener()).thenReturn(listener);\\n doThrow(new IllegalArgumentException()).when(mockSerializationFactory).messageToBuffer(anyShort(),any(ByteBuf.class), any(DataObject.class));\\n try {\\n for(int i = 0; i< count; i++){\\n ocpEncoder.encode(mockChHndlrCtx, wrapper, mockOut);\\n }\\n } catch (Exception e) {\\n Assert.fail();\\n }\\n Assert.assertEquals(\\\"Wrong - bad counter value for OCPEncoder fail encode\\\", count, statCounters.getCounter(cet).getCounterValue());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae21e5559568ad1091ad8bd6f0dcd2d6\",\n \"score\": \"0.6218238\",\n \"text\": \"public synchronized static void incrementCount(){\\n\\t\\tcallCount++;\\n\\t\\tSystem.out.println(\\\"incrementing callcount, newValue:\\\" + callCount);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db26ffd19459b2c744df55875804d264\",\n \"score\": \"0.62167037\",\n \"text\": \"public int increment() {\\r\\n return i++;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae119f6c0019492cc0468e2c21476c50\",\n \"score\": \"0.62166524\",\n \"text\": \"int getInc() {\\n return indexCount++;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d4b9e9d9fdb4880f4ecc53da96670b2\",\n \"score\": \"0.6196321\",\n \"text\": \"public void increment () { ++value; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"990bfebfe00b6a4b0f253f5867c04ceb\",\n \"score\": \"0.6188399\",\n \"text\": \"public void incrementTurnCounter() {\\r\\n turnCounter++;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a4678b07a1757819e29a8bd896386f83\",\n \"score\": \"0.6185474\",\n \"text\": \"private void incrementMutableCounter(final String name, final long count) {\\n if (count > 0) {\\n MutableCounterLong counter = lookupCounter(name);\\n if (counter != null) {\\n counter.incr(count);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db2d79ebb07b748a80c2f606e7e26a12\",\n \"score\": \"0.61599463\",\n \"text\": \"public void incrementCounter(Statistic op, AtomicLong count) {\\n incrementCounter(op, count.get());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6ef6c8734318d804cef07c726c763a99\",\n \"score\": \"0.6154451\",\n \"text\": \"@Test\\n public void testCounterInitialisation() {\\n TurnCounter t = new TurnCounter();\\n Assert.assertEquals(0, t.getTurns());\\n Assert.assertEquals(\\\"Turns made: 0\\\", t.toString());\\n\\n // Test turn counter limited by a certain number of turns\\n LimitedTurnCounter t2 = new LimitedTurnCounter(10);\\n Assert.assertEquals(0, t2.getTurns());\\n Assert.assertEquals(10, t2.getTurnLimit());\\n Assert.assertEquals(\\\"Limit: 10; Turns made: 0\\\", t2.toString());\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e916405d9e9d045e296e0613ba095aa6\",\n \"score\": \"0.6148996\",\n \"text\": \"void updateIncrement();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a30d4d48267250c53e2779538c6f6d6a\",\n \"score\": \"0.6130715\",\n \"text\": \"public static void increment(){\\n num++;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4d7f16da600a8bf2eaacaa406deeef6f\",\n \"score\": \"0.61297685\",\n \"text\": \"private long incrementNamedCounter(final String name,\\n final long count) {\\n if (count != 0) {\\n incrementMutableCounter(name, count);\\n return instanceIOStatistics.incrementCounter(name, count);\\n } else {\\n return 0;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"302226cf41125e75b31d4dc0766f0cfe\",\n \"score\": \"0.611723\",\n \"text\": \"public void increment()\\r\\n {\\r\\n if (canIncrement())\\r\\n {\\r\\n value += increment;\\r\\n fireModelChanged();\\r\\n }\\r\\n else\\r\\n {\\r\\n throw new CounterModificationNotPossibleException(\\\"can't increment\\\");\\r\\n }\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a4bc4f58583498e92d4c63295b4013eb\",\n \"score\": \"0.6103512\",\n \"text\": \"public void incrementCounter(Statistic op, long count) {\\n incrementNamedCounter(op.getSymbol(), count);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f68af03799d4cb2aecc4addd2153ae0\",\n \"score\": \"0.6098891\",\n \"text\": \"protected void incrModCount() {\\n _modCount++;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e526ead92773112a433fee8440637128\",\n \"score\": \"0.6092402\",\n \"text\": \"void increase(int number) {\\r\\n this.count += number;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5aefc09ee89b3ca069095b6ee14b71fb\",\n \"score\": \"0.6091638\",\n \"text\": \"public Counter() {\\n\\t\\tcountA++;\\n\\t\\tcountB++;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7d4fef789d4e2d106c2cc1481674bc70\",\n \"score\": \"0.60885113\",\n \"text\": \"public void incrNComp() { this.nComp++; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9b48e4a470a218539d4b1a48f4346257\",\n \"score\": \"0.6072815\",\n \"text\": \"int getIncrement();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"699dcdbb5e24fb4deecbf49b63092d11\",\n \"score\": \"0.60700375\",\n \"text\": \"public void testGetCounts() throws Exception {\\n //TODO: Test goes here...\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"32ac3e0e61d3d5abd9fcfed3d7b89afa\",\n \"score\": \"0.60650253\",\n \"text\": \"@Test\\n public void testAdd_1(){\\n int result= adder.add(0,0);\\n Assertions.assertEquals(0,result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99b22927f0d7d91e91c16f45ffa5e248\",\n \"score\": \"0.60552245\",\n \"text\": \"public Counter() {\\n counter = 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b2b0e7e8893a765c8543e4a1191f5541\",\n \"score\": \"0.6054061\",\n \"text\": \"@Test\\n public void compactionRetryCountTest() {\\n // TODO: test compactionRetryCount\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eddf1ea8d7a8a5e88eb2552507c7efa6\",\n \"score\": \"0.60514164\",\n \"text\": \"@Test\\n public void testLoopFrom1To5UsingCounterMock() {\\n assertEquals(0, mock(\\\"v <\\\\n>it:.5-|\\\\n @\\\"));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"76ef7d4b011ae4778ba4b7c741a577ab\",\n \"score\": \"0.6046791\",\n \"text\": \"private void incrementRowIdCounter() {\\n\\t\\tthis.rowIdCounter++;\\n\\t\\tLOGGER.log(Level.INFO, \\\"Incremented rowIdCounter new value: {0}\\\", rowIdCounter);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3c46c4b4bc9d1398d0907fdfa6940de0\",\n \"score\": \"0.6045458\",\n \"text\": \"@Test\\n public void testCounterReset() {\\n TurnCounter t = new TurnCounter();\\n Assert.assertEquals(0, t.getTurns());\\n t.incrementTurn();\\n Assert.assertEquals(1, t.getTurns());\\n t.reset();\\n Assert.assertEquals(0, t.getTurns());\\n\\n // Test turn counter limited by a certain number of turns\\n LimitedTurnCounter t2 = new LimitedTurnCounter(10);\\n Assert.assertEquals(0, t2.getTurns());\\n t2.incrementTurn();\\n Assert.assertEquals(1, t2.getTurns());\\n t2.changeTurns(8);\\n Assert.assertEquals(9, t2.getTurns());\\n t2.reset();\\n Assert.assertEquals(0, t.getTurns());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3414b280d1b2ac0bed57fdf5bfa8a9b7\",\n \"score\": \"0.60288465\",\n \"text\": \"@Before\\n\\tpublic void setUpCounterTest() {\\n\\t\\tthis.counter = new Counter<String>();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7bb5f2fc4e28509739bc250e978926d\",\n \"score\": \"0.60284436\",\n \"text\": \"public abstract Counter<T> addValue(T value);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"abc45949e9c4fc677af01221c61a0544\",\n \"score\": \"0.60243636\",\n \"text\": \"public void incrementCount() {\\n ++itemCount;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"438b461d1aa7b08644e42ea8a06328b0\",\n \"score\": \"0.6017584\",\n \"text\": \"public void incrementNumInts(){numInts++;}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f7fa8602cfa6b75872f38e6bf8b3e058\",\n \"score\": \"0.6012869\",\n \"text\": \"@Test\\n public void testIncrementAColumnThatIsNotACounter() throws Exception {\\n try {\\n mWriter.increment(mTable.getEntityId(\\\"foo\\\"), \\\"info\\\", \\\"name\\\", 5L);\\n fail(\\\"An exception should have been thrown.\\\");\\n } catch (IOException ioe) {\\n assertEquals(\\\"Column 'info:name' is not a counter\\\", ioe.getMessage());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efb51400431275d7d5dbcfdb4e4c53ec\",\n \"score\": \"0.60110795\",\n \"text\": \"@Test\\n public void CounterTestAddArray() {\\n\\n //arrange\\n Counter counter = new Counter();\\n int[] numbers = new int[] {1,2,3};\\n\\n //act\\n counter.add(numbers);\\n int actual = counter.getTotal(); //Zijn persoonlijke voorkeur is zo opschrijven (niet op het laatst pas rekenen maar hier):\\n\\n //assert\\n int expected = 6;\\n assertEquals(expected, actual);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71245b834556fce2f04ea5faa1bb1a97\",\n \"score\": \"0.6010626\",\n \"text\": \"private void updateCounter(Card card) {\\n AtomicInteger countValue = new AtomicInteger(card.getHitCount());\\n card.setHitCount(countValue.getAndIncrement());\\n cardRepository\\n .findById(card.getId())\\n .ifPresent(cardUpdate -> {\\n cardUpdate.setHitCount(countValue.getAndIncrement());\\n cardRepository.save(cardUpdate);\\n });\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4a24fc0c03919ed83ed42575764d01c1\",\n \"score\": \"0.5999204\",\n \"text\": \"@Test\\n public void testCache() {\\n System.out.println(\\\"cache\\\");\\n SyllableCounter sc = new SyllableCounter(1);\\n sc.count(\\\"hai\\\");\\n sc.count(\\\"hai\\\");\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":983394,"cells":{"query_id":{"kind":"string","value":"a61fdaa6b803814f933b8aa7b239e50f"},"query":{"kind":"string","value":"Detects whether this iterator has completed its traversal and gone beyond the last entry in the collection of data."},"positive_passages":{"kind":"list like","value":[{"docid":"b6fdcea5f1b22e120b092e82676f90e9","score":"0.0","text":"@Override\n\tpublic boolean hasNext() {\n\t\tif (cursor+1 < theString.length()) {\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","title":""}],"string":"[\n {\n \"docid\": \"b6fdcea5f1b22e120b092e82676f90e9\",\n \"score\": \"0.0\",\n \"text\": \"@Override\\n\\tpublic boolean hasNext() {\\n\\t\\tif (cursor+1 < theString.length()) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"802dfb339b67a9988e6a03f897eef60e","score":"0.7200664","text":"protected boolean isFinished() {\n return index >= getArray().size();\n }","title":""},{"docid":"788fda454ab276830b051930e023bb11","score":"0.70389825","text":"public boolean isEnd()\r\n\t{\r\n\t\treturn index >= length;\r\n\t}","title":""},{"docid":"651551e067558ff1c7bd57f357f8a79c","score":"0.691846","text":"public boolean atEnd() {\n return pos >= posEnd;\n }","title":""},{"docid":"66ca8d50ec34b4430b13c375f811228b","score":"0.68527234","text":"public boolean hasNext() {\n return current < iterable.backed.length;\n }","title":""},{"docid":"c4e9644069f3ecbf54a400e226dfd41e","score":"0.68514466","text":"public boolean hasMore() {\n\t\treturn current != null;\n\t}","title":""},{"docid":"5209725a37be31d7244032d5b2e70e1a","score":"0.6839147","text":"public boolean isComplete()\n {\n return offset >= capacity();\n }","title":""},{"docid":"4a882cb2bb6f1eaccb085c47e2eeba08","score":"0.67677987","text":"public boolean hasNext() throws Exception\r\n {\r\n return (m_iIndex < (m_items.size() - 1));\r\n }","title":""},{"docid":"98353266c9698abac076d0a3c326b4eb","score":"0.6767033","text":"public boolean endOfCollection()\n\t{\n\t\treturn (FileList.size() == 0);\n\t}","title":""},{"docid":"2c1d9b1d36a6e3f778279ff3ccf2479d","score":"0.6729211","text":"public synchronized boolean isComplete()\n {\n return isEof() && getFragments() <= 1;\n }","title":""},{"docid":"bf1dc69be88c35492254435186759519","score":"0.672078","text":"public boolean end() {\n\t\treturn current.equals(lastNode);\n\t}","title":""},{"docid":"97ee7ee7c28f8037fb73866a6d8716e6","score":"0.6578439","text":"public boolean isAfterLast() throws SQLException {\n return currentRowIndex >= totalRows;\n }","title":""},{"docid":"87850b7826c50f849655caf2c8edb83a","score":"0.65457344","text":"public boolean hasEnd() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","title":""},{"docid":"16a98e19e63d786ced866ce23f1eb247","score":"0.6530507","text":"public boolean isLast()\n\t{\n\t\treturn response.isLast();\n\t}","title":""},{"docid":"7ca59886e0a0cc46d2eb32650590668e","score":"0.6501695","text":"public boolean hasNextEntry() {\n return retrieveIndex < entries.size();\n }","title":""},{"docid":"80c40ec44f2660d8ea1888ab5d7c7ea6","score":"0.6492652","text":"public static boolean itemCompleted() {\n if (cumPointVal >= MAX_POINT_VAL) {\n return true;\n }\n return false;\n }","title":""},{"docid":"fbc917427d1be2bfc3c99b452903f5a9","score":"0.6471756","text":"public boolean hasEnd() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","title":""},{"docid":"7a3c4e6bbc3a6a499180f86833381cad","score":"0.6471539","text":"private boolean checkLastPart() {\n if (remaining == 0) throw new IllegalStateException();\n if (--remaining == 0) {\n monitor.notifyAll();\n return true;\n }\n return false;\n }","title":""},{"docid":"00ffe1946b801fabb06ef56d83c0acf0","score":"0.64472455","text":"public boolean hasMore() {\n return (current - begin < services.size());\n }","title":""},{"docid":"a38d401b6799fba0f47a8ca418a97196","score":"0.6426895","text":"public boolean hasNext() {\n\t\t\treturn (nextIndex <= SIZE - 1);\n\t\t}","title":""},{"docid":"7b8b071054ee4cb89ae76a1f8e046241","score":"0.64219296","text":"public boolean hasNext() {\n return currentIndex < (pages.size() - 1);\n }","title":""},{"docid":"86103d58d007aadd5caa0ba5b4c4db85","score":"0.64199144","text":"public boolean end() {\n return this.eof && !this.usePrevious;\n }","title":""},{"docid":"69f42a7320d20830440a05006e911230","score":"0.64189047","text":"public boolean hasNext() {\n\t\treturn true; // cursor < eventLog.length;\n\t}","title":""},{"docid":"b737b5f99f2ac7b8fbc026f650644575","score":"0.64139324","text":"boolean hasEnd();","title":""},{"docid":"fa7cbb2a396932f922fe38533bb74c21","score":"0.64119256","text":"public boolean hasNext() {\n failFast(this.version);\n return this.pos < Graph.this.numEdges;\n }","title":""},{"docid":"ce93c48ad9990b43497b394e213bfaf9","score":"0.64035976","text":"public boolean isLastElement() {\n return isLastElement;\n }","title":""},{"docid":"d2f5c38cbf498c9b254b6e5015204f1e","score":"0.6401205","text":"public boolean last() throws SQLException {\n if (this.scrollType == ResultSet.TYPE_FORWARD_ONLY) {\n throw new SQLException(\n \"operation not permitted with scroll type FORWARD ONLY\");\n }\n getAllPackets();\n currentRowIndex = totalRows - 1;\n resetCurrentRow();\n return true;\n }","title":""},{"docid":"4134faaa52829de399b0caebfeab8bae","score":"0.6392411","text":"@Override\n public boolean hasNext() {\n return this.index < this.directions.size();\n }","title":""},{"docid":"edfd4e57ced3bdc61e038d8e84a1a09c","score":"0.63884056","text":"public final boolean isBeyondLastByte() {\r\n return this.nextByte >= 63;\r\n }","title":""},{"docid":"cadb08379cb870e11352cce05a14da92","score":"0.6382538","text":"public boolean hasEnd() {\n return end != null;\n }","title":""},{"docid":"2aea7255ca923553a36b83c311518943","score":"0.637092","text":"public boolean redoMore() {\n return (curseur < (size() - 1));\n }","title":""},{"docid":"9dbb30bde6f2d47403d0346f3ed74fdb","score":"0.63511306","text":"public boolean hasNext() {\r\n\t\treturn this.itrPos < this.numItems;\r\n\t}","title":""},{"docid":"b783d5a449778785e38fe8d50f608429","score":"0.634212","text":"public boolean hasMoreElements() {\n return (iterator.hasNext());\n }","title":""},{"docid":"6dd5c5e43a3746551998bf686a041a4a","score":"0.63310593","text":"@Override\n public boolean hasNext() {\n return (current_row.hasNext() || row_index < rows.size() - 1);\n }","title":""},{"docid":"dcd390d2e59b49591d106760e5018912","score":"0.6329226","text":"@Override\n\tpublic boolean haveNext() throws RemoteException {\n\t\treturn cur < history.size() - 1;\n\t}","title":""},{"docid":"ddce6646dfe6a82d0bc2c5bc4ae9bede","score":"0.6323766","text":"boolean hasLastPos();","title":""},{"docid":"ebe68e7f2ece8bbad07153a8c5bc4f93","score":"0.6314753","text":"public boolean moreDataPresent() {\n return this.mPdu.length > this.mCur;\n }","title":""},{"docid":"5e275296a5bd3d79580d0865ce0f63b3","score":"0.63047636","text":"@Override\n\tpublic boolean isLast() {\n\t\treturn false;\n\t}","title":""},{"docid":"7db55ed2cb528b0d970669db6cdac6ec","score":"0.6304076","text":"public boolean isLast() throws SQLException {\n return (currentRowIndex + 1) == totalRows;\n }","title":""},{"docid":"5a057bd307e130bb1b68763695cb7dfe","score":"0.63021207","text":"@Override\n public boolean hasNext() {\n return remainingNumberOfElements > 0;\n }","title":""},{"docid":"9061ebdd74b91936b620530b9d844637","score":"0.62997246","text":"@Override\n\t\t\tpublic boolean hasNext() {\n\t\t\t\treturn current != tail;\n\t\t\t}","title":""},{"docid":"5a6873d1f6f8bca9eb1bcd7635de89b2","score":"0.62930197","text":"public boolean hasNext() {\n\t\t\treturn index < on.nodes.size() - 1;\n\t\t}","title":""},{"docid":"affe8b144a837f9710d1125d52001bd8","score":"0.62897575","text":"public boolean isLastPage() {\r\n\t\treturn page.isLast();\r\n\t}","title":""},{"docid":"6fab04c9b81d0acaf1431c50d19e0357","score":"0.6287872","text":"public boolean isLast() {\n return last;\n }","title":""},{"docid":"6ac141f55ea6a4a7e42cc34529213673","score":"0.6283508","text":"@Override\n public boolean isLast() {\n return false;\n }","title":""},{"docid":"7ca49a080879ee58e4d82b083cad421c","score":"0.6256675","text":"public boolean hasNext() {\n failFast(this.version);\n return this.pos < Graph.this.numVertices;\n }","title":""},{"docid":"0ac8d28fad7ffa8a1f12f8cd634979dd","score":"0.6238104","text":"@Override\r\n\tpublic boolean hasNext() {\n\t\treturn cursor != size;\r\n\t}","title":""},{"docid":"644e26c375c3d1f5742423d93f1082f7","score":"0.62338513","text":"public Boolean isLast() {\n return this.isLast;\n }","title":""},{"docid":"ef98bb2fea63b1f6368eb04b2954b9f3","score":"0.6224931","text":"@Override\n public boolean hasNext() {\n return cursor != countOfElements;\n }","title":""},{"docid":"c840ad835c81719960265f7dab9de86c","score":"0.62178516","text":"public final boolean hasContended() {\n/* 1375 */ return (this.head != null);\n/* */ }","title":""},{"docid":"052c14f20809b5550dfb5fb2d36c124f","score":"0.6206914","text":"@Override\n public boolean hasNext() {\n return nextOccupied != null || oneMore;\n }","title":""},{"docid":"0cb7485a654bd4606e9381ee6957cd1b","score":"0.6199307","text":"public boolean hasEnd() {\n return fieldSetFlags()[2];\n }","title":""},{"docid":"ee5af1c9223e46b3f50225289e5cae18","score":"0.6197962","text":"@Override\n public boolean hasNext() {\n return this.fileIdx != -1 &&\n (this.iter.hasNext() || this.fileIdx < (logFiles.size() - 1));\n }","title":""},{"docid":"5b1cdcfd0e3acc89f91bcec7f3e9837c","score":"0.61887896","text":"public boolean hasNext() {\n return cursor != lastIndex;\n }","title":""},{"docid":"8290591f08b82e610d12bbbc26bd0070","score":"0.61801946","text":"public boolean isEnd() {\n\n switch (compareType) {\n case Comparison.EQUAL:\n case Comparison.SMALLER_EQUAL:\n case Comparison.SMALLER:\n return true;\n default:\n return false;\n }\n }","title":""},{"docid":"576aba785fe4b46366a519f71668129f","score":"0.6175403","text":"@Override\n\t\t\t\tpublic boolean hasNext() {\n\t\t\t\t\treturn index < keys.size() - 1;\n\t\t\t\t}","title":""},{"docid":"2ffdc0e9b0b7bd3e30c15176ceae9599","score":"0.61717963","text":"public boolean hasLastHits() {\n return ((bitField0_ & 0x00080000) == 0x00080000);\n }","title":""},{"docid":"fd455338bf124676b4fd1f64c48a3cd8","score":"0.61712104","text":"public boolean isLast() { return mIsLast; }","title":""},{"docid":"f9e161ee6cc3299db50b908ee178f92c","score":"0.61711675","text":"@Override\n\tpublic boolean moveToLast() {\n\t\treturn moveToPosition(getCount() - 1); \n\t}","title":""},{"docid":"e4082fd481248612091542751ff17fda","score":"0.6164648","text":"public boolean hasMore() {\n return false;\r\n }","title":""},{"docid":"17c7aab3dda57224482d3b26ac78c5b2","score":"0.61625904","text":"public boolean hasNext() {\n if (next != null) return true;\n\n // Now, block for a next item (this blocks) ...\n try {\n next = queue.take();\n } catch (InterruptedException e) {\n // This happens when the federated connector has been told to shutdown now, and it shuts down\n // its executor (the worker pool) immediately by interrupting each in-use thread.\n // In this case, we should consider there to be more more requests ...\n try {\n return false;\n } finally {\n // reset the interrupted status ...\n Thread.interrupted();\n }\n }\n if (RequestType.LAST == next.getType()) {\n return false;\n }\n return next != null;\n }","title":""},{"docid":"9c2e690ab873b37dbacef99818312a82","score":"0.61623716","text":"public final boolean finished() {\n return (task != LineSearchTask.SEARCH);\n }","title":""},{"docid":"31f5db53b060c8d19b97574c32ff98ff","score":"0.6158586","text":"@Override\n public boolean hasNext() {\n return !(currentIndex + 1 > size());\n }","title":""},{"docid":"10f8c32c776a471d16d57a001dacf97e","score":"0.61519367","text":"protected boolean isFinished() {\r\n \treturn withinRange;\r\n }","title":""},{"docid":"eb2bce089fd8051360c46eb4e6e73fd5","score":"0.61512333","text":"public synchronized boolean hasNext() throws MediaWiki.IterationException {\n \t\t\tif (getUpcoming() != null && getIndex() + 1 < getUpcoming().size())\n \t\t\t\treturn true;\n \t\t\tif (!isDone()) {\n \t\t\t\ttry {\n \t\t\t\t\tcacheUpcoming();\n \t\t\t\t} catch (MediaWiki.IterationException ie) {\n \t\t\t\t\tthrow ie;\n \t\t\t\t} catch (Exception e) {\n \t\t\t\t\tthrow new MediaWiki.IterationException(e);\n \t\t\t\t}\n\t\t\t\treturn getIndex() + 1 < getUpcoming().size();\n \t\t\t} else\n \t\t\t\treturn false;\n \t\t}","title":""},{"docid":"d972259a3ce5297b68b8ef3451e537be","score":"0.6147661","text":"@Override\n public boolean hasNext() {\n return this.nextIndex < size;\n }","title":""},{"docid":"02699e43b7ea5cfae08df406ebae4c9a","score":"0.6144692","text":"public boolean hasLastPos() {\n return ((bitField0_ & 0x00000001) != 0);\n }","title":""},{"docid":"8a5b45eb207772f846875ecbe26782c8","score":"0.61435634","text":"public boolean hasMoreElements() {\n return index < currentSize;\n }","title":""},{"docid":"76445fdb915722178d1b73b0fb6b9569","score":"0.6142789","text":"public boolean hasMoreElements() {\n\t\t\tfindNext();\n\n\t\t\treturn next != null;\n\t\t}","title":""},{"docid":"895bbda5414f09db5292d315c08a6a2f","score":"0.6124784","text":"public boolean hasMoreElements()\n\t{\n\t\treturn iter.hasNext();\n\t}","title":""},{"docid":"5d7090e11866b8630d3ef123f493cede","score":"0.61217016","text":"@Override\r\n public boolean hasNext() {\r\n //If rowTracker exceeds the total number of rows, we know we no longer have a next\r\n //because we are doing it by row major order\r\n return rowTracker < numRows;\r\n }","title":""},{"docid":"391749b90bc20aa35d32941f5b7bf0a1","score":"0.61166996","text":"public void checkIfEnd() {\n if (this.currentTaskCount < 10) {\n this.endOfQuery = true;\n }\n }","title":""},{"docid":"149bcf0d094a58b9066070fd3df883dd","score":"0.6113417","text":"protected boolean isFinished() {\n if (trajectory == null) {\n return true;\n }\n if ((pathIndex >= pathPoints) || (leftFollower.isFinished() && rightFollower.isFinished())) {\n return true;\n } else if ((timer.get() - runTime) > 1) {\n System.out.println(\"DrivePath Timeout Expired\");\n return true;\n }\n return false;\n }","title":""},{"docid":"102b5d19430bb1036fe738b601e5faf3","score":"0.6107669","text":"private boolean isLastItem(int itemPosition, int childCount) {\n return itemPosition == childCount - 1;\n }","title":""},{"docid":"e420981a0ebfe91d425a63671dcb0a13","score":"0.61058164","text":"@Override\n\tpublic boolean hasNext() {\n\t\treturn this.current <= this.max;\n\t}","title":""},{"docid":"3a6bb833c5738ee4e11d5d0f66e1ea41","score":"0.6105143","text":"protected boolean isFinished() {\r\n return distanceReached;\r\n }","title":""},{"docid":"db52d5025b0623879e4ec3996344125d","score":"0.6104143","text":"public boolean hasNext() {\n if (this.bTree.size() == 0)\n return false;\n if (this.currentNode.equals(this.bTree.root)) {\n if (this.bTree.root.isLeaf) {\n return this.currentChildIndex < this.bTree.root.keys.size();\n }\n else {\n return this.currentChildIndex < this.bTree.root.keys.size();\n }\n }\n else if (this.currentNode.isLeaf) {\n if (this.currentChildIndex < this.currentNode.keys.size())\n return true;\n else\n return this.currentNode.keys.get(this.currentNode.keys.size() - 1) != this.bTree.last();\n }\n else {\n if (this.currentChildIndex < this.currentNode.keys.size() + 1)\n return true;\n else\n return this.currentNode.keys.get(this.currentNode.keys.size() - 1) != this.bTree.last();\n }\n }","title":""},{"docid":"b0cec6125771cdf077ffc02f8f56432a","score":"0.60826796","text":"public boolean hasLastHits() {\n return ((bitField0_ & 0x00080000) == 0x00080000);\n }","title":""},{"docid":"925060a8488fc3de90ad185b372fbdbd","score":"0.60783505","text":"public boolean hasNext()\n {\n DevTrace.entering(loc, hasNext, null, null);\n\n boolean next = ( (this.columns != null) && (this.read < this.columns.length) );\n\n DevTrace.exiting(loc, hasNext, next);\n return next;\n }","title":""},{"docid":"458535c5ed856352c933b09fbda36d5c","score":"0.6074599","text":"public boolean hasNext()\n {\n\t return (this.subsetIndex < this.numberOfSubsets);\n }","title":""},{"docid":"e689e28a701fa002e620523dc1a0aa5b","score":"0.6068256","text":"public boolean hasNext(){\n return current !=null;\n }","title":""},{"docid":"99c85666140cea8d834ea6032907fa2a","score":"0.6063646","text":"public boolean hasNext() {\n return current != null;\n }","title":""},{"docid":"99c85666140cea8d834ea6032907fa2a","score":"0.6063646","text":"public boolean hasNext() {\n return current != null;\n }","title":""},{"docid":"ab11a4906c20334bc066cc2535c23ce5","score":"0.6059243","text":"public boolean isEnd() {\n\t\t\treturn true;\n\t\t}","title":""},{"docid":"842863ee510c68aaf1eb9bbcf0f84d1f","score":"0.60591614","text":"public boolean hasNext() {\r\n return this.pos < this.oldBuffer.length();\r\n }","title":""},{"docid":"d04e036430a3bdf409068ae386c80af0","score":"0.6050376","text":"public boolean hasLastPos() {\n return ((bitField0_ & 0x00000001) != 0);\n }","title":""},{"docid":"b0a5fadc00c591a38063f1bce322a53a","score":"0.60424805","text":"public boolean hasNext()\n {\n return current != null;\n }","title":""},{"docid":"b0a5fadc00c591a38063f1bce322a53a","score":"0.60424805","text":"public boolean hasNext()\n {\n return current != null;\n }","title":""},{"docid":"d561282a6291781f886c1e65bf17f359","score":"0.6042238","text":"protected boolean isPathListDone() {\n return currentIndex + 1 > pathList.size();\n }","title":""},{"docid":"51c3026d64456c0e28388c53136601c5","score":"0.60375166","text":"public boolean hasLastHits() {\n return ((bitField0_ & 0x00000080) == 0x00000080);\n }","title":""},{"docid":"d7fc89687f4e6e05bbac061143fc2e6b","score":"0.6036581","text":"public boolean hasNext() {\n return i < length;\n }","title":""},{"docid":"637f3764294a602eb54d9c2d3c04073d","score":"0.6026939","text":"public boolean hasNext() {\n return (this.size() != 0);\n }","title":""},{"docid":"23e503f75fcf198c639aaa746d11bba2","score":"0.6023743","text":"public boolean hasNext(){\n return current < a.size();\n }","title":""},{"docid":"f9f3991682cd9b04e5c1bb4d8257f9fe","score":"0.6018261","text":"@Override \n\tpublic boolean hasNext() {\n\t\treturn current !=null;\n\t}","title":""},{"docid":"bdce9bef7c7adf44fc4ba62dde4575dc","score":"0.60178953","text":"public boolean hasNext() {\n // Check if calling next() we are getting null\n Entry next = next();\n nodesToVisit--;\n\n return next != null;\n }","title":""},{"docid":"5a5fb3cfd4bc6806e07ef7c7ace6f284","score":"0.6016291","text":"public boolean hasMoreElement() {\n\t\t\t\treturn this.next != null;\n\t\t}","title":""},{"docid":"3138ed47d42f49148e03e9f710c43076","score":"0.601197","text":"public boolean hasLastHits() {\n return ((bitField0_ & 0x00000080) == 0x00000080);\n }","title":""},{"docid":"0069ccd4ddfd208b4a9afa558e57e681","score":"0.6010307","text":"public boolean hasNext() {\n\t\t\treturn (nextItem != null || nodeArrayIndex < nextItem.getUsed()) ;\n\t\t}","title":""},{"docid":"881c1f14d21d2104e9485a0534ddffb4","score":"0.6010073","text":"public boolean hasNext() {\n return position < len;\n }","title":""},{"docid":"af0032e16d270438adb3bfc32f1b30d6","score":"0.60073566","text":"boolean getEnd();","title":""},{"docid":"424bf7cc08726debf8e13b9e59d4fb2c","score":"0.60048026","text":"private final boolean isAvail() {\n\t\t/*\n\t\t * isAvail is only called from within sDequeue() and sDequeue(..) and\n\t\t * thus is always synchronized on this.\n\t\t */\n\t\t\n\t\tif (this.finish) {\n\t\t\treturn false;\n\t\t}\n\t\twhile (isEmpty() || this.stop) {\n\t\t\tthis.numWaiting++;\n\t\t\t// the last worker accessing notices that all other workers are\n\t\t\t// waiting. This indicates that all work is done.\n\t\t\tif (this.numWaiting >= TLCGlobals.getNumWorkers()) {\n\t\t\t\tif (isEmpty()) {\n\t\t\t\t\tthis.numWaiting--;\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// TODO what happens if control flow exits without ever\n\t\t\t\t// notifying the checkpoint (mu.wait()) thread? In case\n\t\t\t\t// of distributed TLC, this is the main thread of\n\t\t\t\t// TLCServer.\n\t\t\t\tsynchronized (this.mu) {\n\t\t\t\t\tthis.mu.notify();\n\t\t\t\t}\n\t\t\t}\n\t\t\ttry {\n\t\t\t\tthis.wait();\n\t\t\t} catch (Exception e) {\n\t\t\t\tMP.printError(EC.GENERAL, \"making a worker wait for a state from the queue\", e); // LL changed call 7 April 2012\n\t\t\t\tSystem.exit(1);\n\t\t\t}\n\t\t\tthis.numWaiting--;\n\t\t\tif (this.finish) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\treturn true;\n\t}","title":""},{"docid":"2a13be5c4692934ae3edeb2be9a3fccc","score":"0.6001653","text":"public boolean isComplete() {\n\t\treturn size() == Math.pow(2, height() + 1) - 1;\n\t}","title":""}],"string":"[\n {\n \"docid\": \"802dfb339b67a9988e6a03f897eef60e\",\n \"score\": \"0.7200664\",\n \"text\": \"protected boolean isFinished() {\\n return index >= getArray().size();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"788fda454ab276830b051930e023bb11\",\n \"score\": \"0.70389825\",\n \"text\": \"public boolean isEnd()\\r\\n\\t{\\r\\n\\t\\treturn index >= length;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"651551e067558ff1c7bd57f357f8a79c\",\n \"score\": \"0.691846\",\n \"text\": \"public boolean atEnd() {\\n return pos >= posEnd;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"66ca8d50ec34b4430b13c375f811228b\",\n \"score\": \"0.68527234\",\n \"text\": \"public boolean hasNext() {\\n return current < iterable.backed.length;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4e9644069f3ecbf54a400e226dfd41e\",\n \"score\": \"0.68514466\",\n \"text\": \"public boolean hasMore() {\\n\\t\\treturn current != null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5209725a37be31d7244032d5b2e70e1a\",\n \"score\": \"0.6839147\",\n \"text\": \"public boolean isComplete()\\n {\\n return offset >= capacity();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4a882cb2bb6f1eaccb085c47e2eeba08\",\n \"score\": \"0.67677987\",\n \"text\": \"public boolean hasNext() throws Exception\\r\\n {\\r\\n return (m_iIndex < (m_items.size() - 1));\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"98353266c9698abac076d0a3c326b4eb\",\n \"score\": \"0.6767033\",\n \"text\": \"public boolean endOfCollection()\\n\\t{\\n\\t\\treturn (FileList.size() == 0);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c1d9b1d36a6e3f778279ff3ccf2479d\",\n \"score\": \"0.6729211\",\n \"text\": \"public synchronized boolean isComplete()\\n {\\n return isEof() && getFragments() <= 1;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf1dc69be88c35492254435186759519\",\n \"score\": \"0.672078\",\n \"text\": \"public boolean end() {\\n\\t\\treturn current.equals(lastNode);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"97ee7ee7c28f8037fb73866a6d8716e6\",\n \"score\": \"0.6578439\",\n \"text\": \"public boolean isAfterLast() throws SQLException {\\n return currentRowIndex >= totalRows;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87850b7826c50f849655caf2c8edb83a\",\n \"score\": \"0.65457344\",\n \"text\": \"public boolean hasEnd() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16a98e19e63d786ced866ce23f1eb247\",\n \"score\": \"0.6530507\",\n \"text\": \"public boolean isLast()\\n\\t{\\n\\t\\treturn response.isLast();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ca59886e0a0cc46d2eb32650590668e\",\n \"score\": \"0.6501695\",\n \"text\": \"public boolean hasNextEntry() {\\n return retrieveIndex < entries.size();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80c40ec44f2660d8ea1888ab5d7c7ea6\",\n \"score\": \"0.6492652\",\n \"text\": \"public static boolean itemCompleted() {\\n if (cumPointVal >= MAX_POINT_VAL) {\\n return true;\\n }\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbc917427d1be2bfc3c99b452903f5a9\",\n \"score\": \"0.6471756\",\n \"text\": \"public boolean hasEnd() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a3c4e6bbc3a6a499180f86833381cad\",\n \"score\": \"0.6471539\",\n \"text\": \"private boolean checkLastPart() {\\n if (remaining == 0) throw new IllegalStateException();\\n if (--remaining == 0) {\\n monitor.notifyAll();\\n return true;\\n }\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00ffe1946b801fabb06ef56d83c0acf0\",\n \"score\": \"0.64472455\",\n \"text\": \"public boolean hasMore() {\\n return (current - begin < services.size());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a38d401b6799fba0f47a8ca418a97196\",\n \"score\": \"0.6426895\",\n \"text\": \"public boolean hasNext() {\\n\\t\\t\\treturn (nextIndex <= SIZE - 1);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b8b071054ee4cb89ae76a1f8e046241\",\n \"score\": \"0.64219296\",\n \"text\": \"public boolean hasNext() {\\n return currentIndex < (pages.size() - 1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86103d58d007aadd5caa0ba5b4c4db85\",\n \"score\": \"0.64199144\",\n \"text\": \"public boolean end() {\\n return this.eof && !this.usePrevious;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69f42a7320d20830440a05006e911230\",\n \"score\": \"0.64189047\",\n \"text\": \"public boolean hasNext() {\\n\\t\\treturn true; // cursor < eventLog.length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b737b5f99f2ac7b8fbc026f650644575\",\n \"score\": \"0.64139324\",\n \"text\": \"boolean hasEnd();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa7cbb2a396932f922fe38533bb74c21\",\n \"score\": \"0.64119256\",\n \"text\": \"public boolean hasNext() {\\n failFast(this.version);\\n return this.pos < Graph.this.numEdges;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce93c48ad9990b43497b394e213bfaf9\",\n \"score\": \"0.64035976\",\n \"text\": \"public boolean isLastElement() {\\n return isLastElement;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2f5c38cbf498c9b254b6e5015204f1e\",\n \"score\": \"0.6401205\",\n \"text\": \"public boolean last() throws SQLException {\\n if (this.scrollType == ResultSet.TYPE_FORWARD_ONLY) {\\n throw new SQLException(\\n \\\"operation not permitted with scroll type FORWARD ONLY\\\");\\n }\\n getAllPackets();\\n currentRowIndex = totalRows - 1;\\n resetCurrentRow();\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4134faaa52829de399b0caebfeab8bae\",\n \"score\": \"0.6392411\",\n \"text\": \"@Override\\n public boolean hasNext() {\\n return this.index < this.directions.size();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"edfd4e57ced3bdc61e038d8e84a1a09c\",\n \"score\": \"0.63884056\",\n \"text\": \"public final boolean isBeyondLastByte() {\\r\\n return this.nextByte >= 63;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cadb08379cb870e11352cce05a14da92\",\n \"score\": \"0.6382538\",\n \"text\": \"public boolean hasEnd() {\\n return end != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2aea7255ca923553a36b83c311518943\",\n \"score\": \"0.637092\",\n \"text\": \"public boolean redoMore() {\\n return (curseur < (size() - 1));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9dbb30bde6f2d47403d0346f3ed74fdb\",\n \"score\": \"0.63511306\",\n \"text\": \"public boolean hasNext() {\\r\\n\\t\\treturn this.itrPos < this.numItems;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b783d5a449778785e38fe8d50f608429\",\n \"score\": \"0.634212\",\n \"text\": \"public boolean hasMoreElements() {\\n return (iterator.hasNext());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6dd5c5e43a3746551998bf686a041a4a\",\n \"score\": \"0.63310593\",\n \"text\": \"@Override\\n public boolean hasNext() {\\n return (current_row.hasNext() || row_index < rows.size() - 1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dcd390d2e59b49591d106760e5018912\",\n \"score\": \"0.6329226\",\n \"text\": \"@Override\\n\\tpublic boolean haveNext() throws RemoteException {\\n\\t\\treturn cur < history.size() - 1;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ddce6646dfe6a82d0bc2c5bc4ae9bede\",\n \"score\": \"0.6323766\",\n \"text\": \"boolean hasLastPos();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ebe68e7f2ece8bbad07153a8c5bc4f93\",\n \"score\": \"0.6314753\",\n \"text\": \"public boolean moreDataPresent() {\\n return this.mPdu.length > this.mCur;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5e275296a5bd3d79580d0865ce0f63b3\",\n \"score\": \"0.63047636\",\n \"text\": \"@Override\\n\\tpublic boolean isLast() {\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7db55ed2cb528b0d970669db6cdac6ec\",\n \"score\": \"0.6304076\",\n \"text\": \"public boolean isLast() throws SQLException {\\n return (currentRowIndex + 1) == totalRows;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a057bd307e130bb1b68763695cb7dfe\",\n \"score\": \"0.63021207\",\n \"text\": \"@Override\\n public boolean hasNext() {\\n return remainingNumberOfElements > 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9061ebdd74b91936b620530b9d844637\",\n \"score\": \"0.62997246\",\n \"text\": \"@Override\\n\\t\\t\\tpublic boolean hasNext() {\\n\\t\\t\\t\\treturn current != tail;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a6873d1f6f8bca9eb1bcd7635de89b2\",\n \"score\": \"0.62930197\",\n \"text\": \"public boolean hasNext() {\\n\\t\\t\\treturn index < on.nodes.size() - 1;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"affe8b144a837f9710d1125d52001bd8\",\n \"score\": \"0.62897575\",\n \"text\": \"public boolean isLastPage() {\\r\\n\\t\\treturn page.isLast();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6fab04c9b81d0acaf1431c50d19e0357\",\n \"score\": \"0.6287872\",\n \"text\": \"public boolean isLast() {\\n return last;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6ac141f55ea6a4a7e42cc34529213673\",\n \"score\": \"0.6283508\",\n \"text\": \"@Override\\n public boolean isLast() {\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ca49a080879ee58e4d82b083cad421c\",\n \"score\": \"0.6256675\",\n \"text\": \"public boolean hasNext() {\\n failFast(this.version);\\n return this.pos < Graph.this.numVertices;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0ac8d28fad7ffa8a1f12f8cd634979dd\",\n \"score\": \"0.6238104\",\n \"text\": \"@Override\\r\\n\\tpublic boolean hasNext() {\\n\\t\\treturn cursor != size;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"644e26c375c3d1f5742423d93f1082f7\",\n \"score\": \"0.62338513\",\n \"text\": \"public Boolean isLast() {\\n return this.isLast;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef98bb2fea63b1f6368eb04b2954b9f3\",\n \"score\": \"0.6224931\",\n \"text\": \"@Override\\n public boolean hasNext() {\\n return cursor != countOfElements;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c840ad835c81719960265f7dab9de86c\",\n \"score\": \"0.62178516\",\n \"text\": \"public final boolean hasContended() {\\n/* 1375 */ return (this.head != null);\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"052c14f20809b5550dfb5fb2d36c124f\",\n \"score\": \"0.6206914\",\n \"text\": \"@Override\\n public boolean hasNext() {\\n return nextOccupied != null || oneMore;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0cb7485a654bd4606e9381ee6957cd1b\",\n \"score\": \"0.6199307\",\n \"text\": \"public boolean hasEnd() {\\n return fieldSetFlags()[2];\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee5af1c9223e46b3f50225289e5cae18\",\n \"score\": \"0.6197962\",\n \"text\": \"@Override\\n public boolean hasNext() {\\n return this.fileIdx != -1 &&\\n (this.iter.hasNext() || this.fileIdx < (logFiles.size() - 1));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5b1cdcfd0e3acc89f91bcec7f3e9837c\",\n \"score\": \"0.61887896\",\n \"text\": \"public boolean hasNext() {\\n return cursor != lastIndex;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8290591f08b82e610d12bbbc26bd0070\",\n \"score\": \"0.61801946\",\n \"text\": \"public boolean isEnd() {\\n\\n switch (compareType) {\\n case Comparison.EQUAL:\\n case Comparison.SMALLER_EQUAL:\\n case Comparison.SMALLER:\\n return true;\\n default:\\n return false;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"576aba785fe4b46366a519f71668129f\",\n \"score\": \"0.6175403\",\n \"text\": \"@Override\\n\\t\\t\\t\\tpublic boolean hasNext() {\\n\\t\\t\\t\\t\\treturn index < keys.size() - 1;\\n\\t\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ffdc0e9b0b7bd3e30c15176ceae9599\",\n \"score\": \"0.61717963\",\n \"text\": \"public boolean hasLastHits() {\\n return ((bitField0_ & 0x00080000) == 0x00080000);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd455338bf124676b4fd1f64c48a3cd8\",\n \"score\": \"0.61712104\",\n \"text\": \"public boolean isLast() { return mIsLast; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f9e161ee6cc3299db50b908ee178f92c\",\n \"score\": \"0.61711675\",\n \"text\": \"@Override\\n\\tpublic boolean moveToLast() {\\n\\t\\treturn moveToPosition(getCount() - 1); \\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e4082fd481248612091542751ff17fda\",\n \"score\": \"0.6164648\",\n \"text\": \"public boolean hasMore() {\\n return false;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17c7aab3dda57224482d3b26ac78c5b2\",\n \"score\": \"0.61625904\",\n \"text\": \"public boolean hasNext() {\\n if (next != null) return true;\\n\\n // Now, block for a next item (this blocks) ...\\n try {\\n next = queue.take();\\n } catch (InterruptedException e) {\\n // This happens when the federated connector has been told to shutdown now, and it shuts down\\n // its executor (the worker pool) immediately by interrupting each in-use thread.\\n // In this case, we should consider there to be more more requests ...\\n try {\\n return false;\\n } finally {\\n // reset the interrupted status ...\\n Thread.interrupted();\\n }\\n }\\n if (RequestType.LAST == next.getType()) {\\n return false;\\n }\\n return next != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9c2e690ab873b37dbacef99818312a82\",\n \"score\": \"0.61623716\",\n \"text\": \"public final boolean finished() {\\n return (task != LineSearchTask.SEARCH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"31f5db53b060c8d19b97574c32ff98ff\",\n \"score\": \"0.6158586\",\n \"text\": \"@Override\\n public boolean hasNext() {\\n return !(currentIndex + 1 > size());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10f8c32c776a471d16d57a001dacf97e\",\n \"score\": \"0.61519367\",\n \"text\": \"protected boolean isFinished() {\\r\\n \\treturn withinRange;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb2bce089fd8051360c46eb4e6e73fd5\",\n \"score\": \"0.61512333\",\n \"text\": \"public synchronized boolean hasNext() throws MediaWiki.IterationException {\\n \\t\\t\\tif (getUpcoming() != null && getIndex() + 1 < getUpcoming().size())\\n \\t\\t\\t\\treturn true;\\n \\t\\t\\tif (!isDone()) {\\n \\t\\t\\t\\ttry {\\n \\t\\t\\t\\t\\tcacheUpcoming();\\n \\t\\t\\t\\t} catch (MediaWiki.IterationException ie) {\\n \\t\\t\\t\\t\\tthrow ie;\\n \\t\\t\\t\\t} catch (Exception e) {\\n \\t\\t\\t\\t\\tthrow new MediaWiki.IterationException(e);\\n \\t\\t\\t\\t}\\n\\t\\t\\t\\treturn getIndex() + 1 < getUpcoming().size();\\n \\t\\t\\t} else\\n \\t\\t\\t\\treturn false;\\n \\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d972259a3ce5297b68b8ef3451e537be\",\n \"score\": \"0.6147661\",\n \"text\": \"@Override\\n public boolean hasNext() {\\n return this.nextIndex < size;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02699e43b7ea5cfae08df406ebae4c9a\",\n \"score\": \"0.6144692\",\n \"text\": \"public boolean hasLastPos() {\\n return ((bitField0_ & 0x00000001) != 0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a5b45eb207772f846875ecbe26782c8\",\n \"score\": \"0.61435634\",\n \"text\": \"public boolean hasMoreElements() {\\n return index < currentSize;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"76445fdb915722178d1b73b0fb6b9569\",\n \"score\": \"0.6142789\",\n \"text\": \"public boolean hasMoreElements() {\\n\\t\\t\\tfindNext();\\n\\n\\t\\t\\treturn next != null;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"895bbda5414f09db5292d315c08a6a2f\",\n \"score\": \"0.6124784\",\n \"text\": \"public boolean hasMoreElements()\\n\\t{\\n\\t\\treturn iter.hasNext();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5d7090e11866b8630d3ef123f493cede\",\n \"score\": \"0.61217016\",\n \"text\": \"@Override\\r\\n public boolean hasNext() {\\r\\n //If rowTracker exceeds the total number of rows, we know we no longer have a next\\r\\n //because we are doing it by row major order\\r\\n return rowTracker < numRows;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"391749b90bc20aa35d32941f5b7bf0a1\",\n \"score\": \"0.61166996\",\n \"text\": \"public void checkIfEnd() {\\n if (this.currentTaskCount < 10) {\\n this.endOfQuery = true;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"149bcf0d094a58b9066070fd3df883dd\",\n \"score\": \"0.6113417\",\n \"text\": \"protected boolean isFinished() {\\n if (trajectory == null) {\\n return true;\\n }\\n if ((pathIndex >= pathPoints) || (leftFollower.isFinished() && rightFollower.isFinished())) {\\n return true;\\n } else if ((timer.get() - runTime) > 1) {\\n System.out.println(\\\"DrivePath Timeout Expired\\\");\\n return true;\\n }\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"102b5d19430bb1036fe738b601e5faf3\",\n \"score\": \"0.6107669\",\n \"text\": \"private boolean isLastItem(int itemPosition, int childCount) {\\n return itemPosition == childCount - 1;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e420981a0ebfe91d425a63671dcb0a13\",\n \"score\": \"0.61058164\",\n \"text\": \"@Override\\n\\tpublic boolean hasNext() {\\n\\t\\treturn this.current <= this.max;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a6bb833c5738ee4e11d5d0f66e1ea41\",\n \"score\": \"0.6105143\",\n \"text\": \"protected boolean isFinished() {\\r\\n return distanceReached;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db52d5025b0623879e4ec3996344125d\",\n \"score\": \"0.6104143\",\n \"text\": \"public boolean hasNext() {\\n if (this.bTree.size() == 0)\\n return false;\\n if (this.currentNode.equals(this.bTree.root)) {\\n if (this.bTree.root.isLeaf) {\\n return this.currentChildIndex < this.bTree.root.keys.size();\\n }\\n else {\\n return this.currentChildIndex < this.bTree.root.keys.size();\\n }\\n }\\n else if (this.currentNode.isLeaf) {\\n if (this.currentChildIndex < this.currentNode.keys.size())\\n return true;\\n else\\n return this.currentNode.keys.get(this.currentNode.keys.size() - 1) != this.bTree.last();\\n }\\n else {\\n if (this.currentChildIndex < this.currentNode.keys.size() + 1)\\n return true;\\n else\\n return this.currentNode.keys.get(this.currentNode.keys.size() - 1) != this.bTree.last();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0cec6125771cdf077ffc02f8f56432a\",\n \"score\": \"0.60826796\",\n \"text\": \"public boolean hasLastHits() {\\n return ((bitField0_ & 0x00080000) == 0x00080000);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"925060a8488fc3de90ad185b372fbdbd\",\n \"score\": \"0.60783505\",\n \"text\": \"public boolean hasNext()\\n {\\n DevTrace.entering(loc, hasNext, null, null);\\n\\n boolean next = ( (this.columns != null) && (this.read < this.columns.length) );\\n\\n DevTrace.exiting(loc, hasNext, next);\\n return next;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"458535c5ed856352c933b09fbda36d5c\",\n \"score\": \"0.6074599\",\n \"text\": \"public boolean hasNext()\\n {\\n\\t return (this.subsetIndex < this.numberOfSubsets);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e689e28a701fa002e620523dc1a0aa5b\",\n \"score\": \"0.6068256\",\n \"text\": \"public boolean hasNext(){\\n return current !=null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99c85666140cea8d834ea6032907fa2a\",\n \"score\": \"0.6063646\",\n \"text\": \"public boolean hasNext() {\\n return current != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99c85666140cea8d834ea6032907fa2a\",\n \"score\": \"0.6063646\",\n \"text\": \"public boolean hasNext() {\\n return current != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ab11a4906c20334bc066cc2535c23ce5\",\n \"score\": \"0.6059243\",\n \"text\": \"public boolean isEnd() {\\n\\t\\t\\treturn true;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"842863ee510c68aaf1eb9bbcf0f84d1f\",\n \"score\": \"0.60591614\",\n \"text\": \"public boolean hasNext() {\\r\\n return this.pos < this.oldBuffer.length();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d04e036430a3bdf409068ae386c80af0\",\n \"score\": \"0.6050376\",\n \"text\": \"public boolean hasLastPos() {\\n return ((bitField0_ & 0x00000001) != 0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0a5fadc00c591a38063f1bce322a53a\",\n \"score\": \"0.60424805\",\n \"text\": \"public boolean hasNext()\\n {\\n return current != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0a5fadc00c591a38063f1bce322a53a\",\n \"score\": \"0.60424805\",\n \"text\": \"public boolean hasNext()\\n {\\n return current != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d561282a6291781f886c1e65bf17f359\",\n \"score\": \"0.6042238\",\n \"text\": \"protected boolean isPathListDone() {\\n return currentIndex + 1 > pathList.size();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"51c3026d64456c0e28388c53136601c5\",\n \"score\": \"0.60375166\",\n \"text\": \"public boolean hasLastHits() {\\n return ((bitField0_ & 0x00000080) == 0x00000080);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d7fc89687f4e6e05bbac061143fc2e6b\",\n \"score\": \"0.6036581\",\n \"text\": \"public boolean hasNext() {\\n return i < length;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"637f3764294a602eb54d9c2d3c04073d\",\n \"score\": \"0.6026939\",\n \"text\": \"public boolean hasNext() {\\n return (this.size() != 0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23e503f75fcf198c639aaa746d11bba2\",\n \"score\": \"0.6023743\",\n \"text\": \"public boolean hasNext(){\\n return current < a.size();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f9f3991682cd9b04e5c1bb4d8257f9fe\",\n \"score\": \"0.6018261\",\n \"text\": \"@Override \\n\\tpublic boolean hasNext() {\\n\\t\\treturn current !=null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bdce9bef7c7adf44fc4ba62dde4575dc\",\n \"score\": \"0.60178953\",\n \"text\": \"public boolean hasNext() {\\n // Check if calling next() we are getting null\\n Entry next = next();\\n nodesToVisit--;\\n\\n return next != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a5fb3cfd4bc6806e07ef7c7ace6f284\",\n \"score\": \"0.6016291\",\n \"text\": \"public boolean hasMoreElement() {\\n\\t\\t\\t\\treturn this.next != null;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3138ed47d42f49148e03e9f710c43076\",\n \"score\": \"0.601197\",\n \"text\": \"public boolean hasLastHits() {\\n return ((bitField0_ & 0x00000080) == 0x00000080);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0069ccd4ddfd208b4a9afa558e57e681\",\n \"score\": \"0.6010307\",\n \"text\": \"public boolean hasNext() {\\n\\t\\t\\treturn (nextItem != null || nodeArrayIndex < nextItem.getUsed()) ;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"881c1f14d21d2104e9485a0534ddffb4\",\n \"score\": \"0.6010073\",\n \"text\": \"public boolean hasNext() {\\n return position < len;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"af0032e16d270438adb3bfc32f1b30d6\",\n \"score\": \"0.60073566\",\n \"text\": \"boolean getEnd();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"424bf7cc08726debf8e13b9e59d4fb2c\",\n \"score\": \"0.60048026\",\n \"text\": \"private final boolean isAvail() {\\n\\t\\t/*\\n\\t\\t * isAvail is only called from within sDequeue() and sDequeue(..) and\\n\\t\\t * thus is always synchronized on this.\\n\\t\\t */\\n\\t\\t\\n\\t\\tif (this.finish) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\twhile (isEmpty() || this.stop) {\\n\\t\\t\\tthis.numWaiting++;\\n\\t\\t\\t// the last worker accessing notices that all other workers are\\n\\t\\t\\t// waiting. This indicates that all work is done.\\n\\t\\t\\tif (this.numWaiting >= TLCGlobals.getNumWorkers()) {\\n\\t\\t\\t\\tif (isEmpty()) {\\n\\t\\t\\t\\t\\tthis.numWaiting--;\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t// TODO what happens if control flow exits without ever\\n\\t\\t\\t\\t// notifying the checkpoint (mu.wait()) thread? In case\\n\\t\\t\\t\\t// of distributed TLC, this is the main thread of\\n\\t\\t\\t\\t// TLCServer.\\n\\t\\t\\t\\tsynchronized (this.mu) {\\n\\t\\t\\t\\t\\tthis.mu.notify();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tthis.wait();\\n\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\tMP.printError(EC.GENERAL, \\\"making a worker wait for a state from the queue\\\", e); // LL changed call 7 April 2012\\n\\t\\t\\t\\tSystem.exit(1);\\n\\t\\t\\t}\\n\\t\\t\\tthis.numWaiting--;\\n\\t\\t\\tif (this.finish) {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn true;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a13be5c4692934ae3edeb2be9a3fccc\",\n \"score\": \"0.6001653\",\n \"text\": \"public boolean isComplete() {\\n\\t\\treturn size() == Math.pow(2, height() + 1) - 1;\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":983395,"cells":{"query_id":{"kind":"string","value":"99f7430eb911071c7227e69d7c7fc2f9"},"query":{"kind":"string","value":"Handhabt ein empfangenes DatenFrame"},"positive_passages":{"kind":"list like","value":[{"docid":"dc5587aca6163c703cde8ecf8d6a2b71","score":"0.0","text":"public void handleDataFrame(MacHeader macHeader, LinkLayerMessage message) { \n\t\tif (macHeader.isUnicastMessage()) {\n\t\t\tmib.incReceivedFragmentCount();\n\t\t\tif (debug) {\n\t\t\t\tif (!macHeader.getMoreFragments() && (macHeader.getFragmentNumber() == 0))\n\t\t\t\t\t\toperatingSystem.write(\"Zeit \" + getTimeString() + \": Device \" + operatingSystem.getDeviceID() + \" hat Daten Frame mit kompletter Nachricht von Device \" + macHeader.getSender() + \" empfangen\");\n\t\t\t\telse\n\t\t\t\t\t\toperatingSystem.write(\"Zeit \" + getTimeString() + \": Device \" + operatingSystem.getDeviceID() + \" hat Daten Frame mit Fragment \" + macHeader.getFragmentNumber() + \" von Device \" + macHeader.getSender() + \" empfangen\");\n\t\t\t}\n\t\t\t\t\n\t\t\tif ((currentEntry != null) && currentEntry.isWaitingForFragment() && (currentEntry.getReceiver().equals(macHeader.getSender()))) {\n\t\t\t\t// richtiges Data Frame empfangen, also wird vorige Übertragung weiter fortgesetzt\n\t\t\t\tcurrentEntry.sendSuccessful();\n\t\t\t}\n\t\t\tif ((currentEntry != null) && (currentEntry.isWaitingForACK() || currentEntry.isWaitingForCTS())) {\n\t\t\t\t// Device erwartet Ack bzw. CTS, aber es wird ein Daten Frame empfangen.\n\t\t\t\t// Deshalb ist die Übertragung des vorigen Daten Frames fehlerhaft.\n\t\t\t\tif (debug)\n\t\t\t\t\toperatingSystem.write(\"Zeit \" + getTimeString() + \": Device \" + operatingSystem.getDeviceID() + \" hat Daten Frame empfangen, obwohl ACK bzw. CTS erwartet wurde.\");\n\t\t\t\tcurrentEntry.sendFailed();\n\t\t\t}\n\t\t\t\n\t\t\t// Ack Frame wird immer nach SIFS-Zeit gesendet, \n\t\t\t// egal ob Medium Busy oder Idle -> 9.2.8\t\t\n\t\t\tAddress receiver = macHeader.getSender();\n\t\t\t// Duration für ACK Frame wird wie in 7.2.1.3 berechnet\n\t\t\tdouble duration;\n\t\t\tif (macHeader.getMoreFragments())\n\t\t\t\tduration = macHeader.getDuration() - transmitTime(mib.getDataRate(), ACKFrame.size) - mib.getSIFS();\n\t\t\telse\n\t\t\t\tduration = 0;\n\t\t\tcurrentEntry = new ControlMessageEntry(receiver, new ACKFrame(), duration);\n\t\t\tcurrentEntry.setBusy(true);\n\t\t\tmessageQueue.add(0, currentEntry);\n\t\t\tsifsTimeout.set();\n\t\t\tsifsTimeout.start();\n\t\t\t\n\t\t\t// es wird überprüft, wie mit der Nachricht weiter verfahren wird\n\t\t\treceiveCacheMap.check(macHeader, message);\n\t\t}\n\t\telse {\n\t\t\tif (debug)\n\t\t\t\toperatingSystem.write(\"Zeit \" + getTimeString() + \": Device \" + operatingSystem.getDeviceID() + \" Broadcast Frame von Device \" + macHeader.getSender() + \" empfangen.\");\n\t\t\t\n\t\t\tif ((currentEntry != null) && (currentEntry.isWaitingForACK() || currentEntry.isWaitingForCTS() || currentEntry.isWaitingForFragment())) {\n\t\t\t\t// Device erwartet Ack, CTS oder nächstes Fragment, aber es wird ein Broadcast Frame empfangen.\n\t\t\t\t// Deshalb ist die Übertragung des vorigen Daten-Frames fehlerhaft bzw. das warten auf weitere Fragmente wird eingestellt.\n\t\t\t\tif (debug)\n\t\t\t\t\toperatingSystem.write(\"Zeit \" + getTimeString() + \": Device \" + operatingSystem.getDeviceID() + \" hat Broadcast Frame empfangen, obwohl anderes Frame erwartet wurde.\");\n\t\t\t\tcurrentEntry.sendFailed();\n\t\t\t}\n\t\t\t\n\t\t\t// Die Nachricht wird an die höhere Schicht weitergeleitet\n\t\t\t//LinkLayerInfo info = new LinkLayerInfoImplementation(macHeader.getSender(), macHeader.getReceiver(), false);\n macHeader=(MacHeader) macHeader.copy();\n macHeader.setReceiver(macAddress);\n\t\t\tupperLayer.receive(macHeader, message);\t\n \n\t operatingSystem.sendSignal(new MessageReceiveSignal(macHeader,message));\n\t \t\t\t\n\t\t\tif (physicalState == PhysicalLayerInterface.CCA)\n\t\t\t\tthrow new IllegalStateException(\"Zeit \" + getTimeString() + \": Device \" + operatingSystem.getDeviceID() + \" zu Früh auf CCA gewechselt.\"); \t\t\t\t\n\t\t}\n }","title":""}],"string":"[\n {\n \"docid\": \"dc5587aca6163c703cde8ecf8d6a2b71\",\n \"score\": \"0.0\",\n \"text\": \"public void handleDataFrame(MacHeader macHeader, LinkLayerMessage message) { \\n\\t\\tif (macHeader.isUnicastMessage()) {\\n\\t\\t\\tmib.incReceivedFragmentCount();\\n\\t\\t\\tif (debug) {\\n\\t\\t\\t\\tif (!macHeader.getMoreFragments() && (macHeader.getFragmentNumber() == 0))\\n\\t\\t\\t\\t\\t\\toperatingSystem.write(\\\"Zeit \\\" + getTimeString() + \\\": Device \\\" + operatingSystem.getDeviceID() + \\\" hat Daten Frame mit kompletter Nachricht von Device \\\" + macHeader.getSender() + \\\" empfangen\\\");\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\toperatingSystem.write(\\\"Zeit \\\" + getTimeString() + \\\": Device \\\" + operatingSystem.getDeviceID() + \\\" hat Daten Frame mit Fragment \\\" + macHeader.getFragmentNumber() + \\\" von Device \\\" + macHeader.getSender() + \\\" empfangen\\\");\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\tif ((currentEntry != null) && currentEntry.isWaitingForFragment() && (currentEntry.getReceiver().equals(macHeader.getSender()))) {\\n\\t\\t\\t\\t// richtiges Data Frame empfangen, also wird vorige Übertragung weiter fortgesetzt\\n\\t\\t\\t\\tcurrentEntry.sendSuccessful();\\n\\t\\t\\t}\\n\\t\\t\\tif ((currentEntry != null) && (currentEntry.isWaitingForACK() || currentEntry.isWaitingForCTS())) {\\n\\t\\t\\t\\t// Device erwartet Ack bzw. CTS, aber es wird ein Daten Frame empfangen.\\n\\t\\t\\t\\t// Deshalb ist die Übertragung des vorigen Daten Frames fehlerhaft.\\n\\t\\t\\t\\tif (debug)\\n\\t\\t\\t\\t\\toperatingSystem.write(\\\"Zeit \\\" + getTimeString() + \\\": Device \\\" + operatingSystem.getDeviceID() + \\\" hat Daten Frame empfangen, obwohl ACK bzw. CTS erwartet wurde.\\\");\\n\\t\\t\\t\\tcurrentEntry.sendFailed();\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// Ack Frame wird immer nach SIFS-Zeit gesendet, \\n\\t\\t\\t// egal ob Medium Busy oder Idle -> 9.2.8\\t\\t\\n\\t\\t\\tAddress receiver = macHeader.getSender();\\n\\t\\t\\t// Duration für ACK Frame wird wie in 7.2.1.3 berechnet\\n\\t\\t\\tdouble duration;\\n\\t\\t\\tif (macHeader.getMoreFragments())\\n\\t\\t\\t\\tduration = macHeader.getDuration() - transmitTime(mib.getDataRate(), ACKFrame.size) - mib.getSIFS();\\n\\t\\t\\telse\\n\\t\\t\\t\\tduration = 0;\\n\\t\\t\\tcurrentEntry = new ControlMessageEntry(receiver, new ACKFrame(), duration);\\n\\t\\t\\tcurrentEntry.setBusy(true);\\n\\t\\t\\tmessageQueue.add(0, currentEntry);\\n\\t\\t\\tsifsTimeout.set();\\n\\t\\t\\tsifsTimeout.start();\\n\\t\\t\\t\\n\\t\\t\\t// es wird überprüft, wie mit der Nachricht weiter verfahren wird\\n\\t\\t\\treceiveCacheMap.check(macHeader, message);\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\tif (debug)\\n\\t\\t\\t\\toperatingSystem.write(\\\"Zeit \\\" + getTimeString() + \\\": Device \\\" + operatingSystem.getDeviceID() + \\\" Broadcast Frame von Device \\\" + macHeader.getSender() + \\\" empfangen.\\\");\\n\\t\\t\\t\\n\\t\\t\\tif ((currentEntry != null) && (currentEntry.isWaitingForACK() || currentEntry.isWaitingForCTS() || currentEntry.isWaitingForFragment())) {\\n\\t\\t\\t\\t// Device erwartet Ack, CTS oder nächstes Fragment, aber es wird ein Broadcast Frame empfangen.\\n\\t\\t\\t\\t// Deshalb ist die Übertragung des vorigen Daten-Frames fehlerhaft bzw. das warten auf weitere Fragmente wird eingestellt.\\n\\t\\t\\t\\tif (debug)\\n\\t\\t\\t\\t\\toperatingSystem.write(\\\"Zeit \\\" + getTimeString() + \\\": Device \\\" + operatingSystem.getDeviceID() + \\\" hat Broadcast Frame empfangen, obwohl anderes Frame erwartet wurde.\\\");\\n\\t\\t\\t\\tcurrentEntry.sendFailed();\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// Die Nachricht wird an die höhere Schicht weitergeleitet\\n\\t\\t\\t//LinkLayerInfo info = new LinkLayerInfoImplementation(macHeader.getSender(), macHeader.getReceiver(), false);\\n macHeader=(MacHeader) macHeader.copy();\\n macHeader.setReceiver(macAddress);\\n\\t\\t\\tupperLayer.receive(macHeader, message);\\t\\n \\n\\t operatingSystem.sendSignal(new MessageReceiveSignal(macHeader,message));\\n\\t \\t\\t\\t\\n\\t\\t\\tif (physicalState == PhysicalLayerInterface.CCA)\\n\\t\\t\\t\\tthrow new IllegalStateException(\\\"Zeit \\\" + getTimeString() + \\\": Device \\\" + operatingSystem.getDeviceID() + \\\" zu Früh auf CCA gewechselt.\\\"); \\t\\t\\t\\t\\n\\t\\t}\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"498d0b1093ac7c10be8dc3b367284c52","score":"0.615675","text":"public void frameDay()\n\t{\n\t\tcolumnTitles2[0] = \"Index\";\n\t\tcolumnTitles2[1] = \"First Name\";\n\t\tcolumnTitles2[2] = \"Last Name\";\n\t\tcolumnTitles2[3] = \"Date\";\n\t\tcolumnTitles2[4] = \"Exercise Type\";\n\t\tcolumnTitles2[5] = \"Exercise Min\";\n\t\tcolumnTitles2[6] = \"Water\";\n\t\tcolumnTitles2[7] = \"Energy\";\n\t\tcolumnTitles2[8] = \"Sleep\";\t\n\t\tcolumnTitles2[9] = \"Digestion\";\n\t\tcolumnTitles2[10] = \"System\";\n\t\t\n\t\tdayFrame.setBounds(500, 500, 1500, 2000); \n\t\tdayFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);\n\t\t\n\t\tdatePanel.add(dateLabel);\n\t\tdatePanel.add(boxDay);\n\t\tdatePanel.add(boxMonth);\n\t\tdatePanel.add(boxYear);\n\t\t\n\t\tfirstnPanel.add(firstnLabel);\n\t\tfirstnPanel.add(firstn);\n\t\t\n\t\tlastnPanel.add(lastnLabel);\t\n\t\tlastnPanel.add(lastn);\n\t\t\n\t\texerciseTypePanel.add(exerciseTypeLabel);\t\n\t\texerciseTypePanel.add(exerciseType);\n\t\t\n\t\texerciseMinPanel.add(exerciseMinLabel);\n\t\texerciseMinPanel.add(exerciseMin);\n\t\t\n\t\tsystemPanel.add(systemLabel);\n\t\tsystemPanel.add(metric);\n\t\tsystemPanel.add(imperial);\n\t\t\n\t\tdigestionPanel.add(digestionLabel);\n\t\tdigestionPanel.add(digestion);\n\t\t\n\t\tsleepPanel.add(sleepLabel);\n\t\tsleepPanel.add(sleep);\n\t\t\n\t\twaterPanel.add(waterMetricLabel);\n\t\twaterPanel.add(water);\n\t\t\n\t\tenergyPanel.add(energyLabel);\n\t\tenergyPanel.add(energy);\n\t\t\n\t\tindexPanel.add(indexLabel);\n\t\tindexPanel.add(indexD);\n\t\t\n\t\tgroup1.add(metric);\n\t\tgroup1.add(imperial);\n\t\t\n\t\tbox.add(waterPanel);\n\t\tbox.add(datePanel);\n\t\tbox.add(sleepPanel);\n\t\tbox.add(exerciseMinPanel);\n\t\tbox.add(systemPanel);\n\t\tbox.add(exerciseTypePanel);\n\t\tbox.add(firstnPanel);\n\t\tbox.add(lastnPanel);\n\t\tbox.add(indexPanel);\n\t\tbox.add(energyPanel);\n\t\tbox.add(digestionPanel);\n\t\t\n\t\tdayTable.addActionListener(this);\t\t\n\t\tinsert.addActionListener(this);\n\t\tupdate.addActionListener(this);\n\t\tdelete.addActionListener(this);\n\t\tmetric.addActionListener(this);\n\t\texit.addActionListener(this);\n\t\timperial.addActionListener(this);\n\t\tback.addActionListener(this);\n\t\t\n\t\tbuttonPanel.add(dayTable);\t\n\t\tbuttonPanel.add(insert);\n\t\tbuttonPanel.add(update);\n\t\tbuttonPanel.add(delete);\n\t\tbuttonPanel.add(back);\n\t\tbuttonDPanel.add(exit);\n\t\t\n\t dayFrame.add(buttonPanel,BorderLayout.SOUTH);\t\n\t\tdayFrame.add(box,BorderLayout.NORTH);\n\t\tdayFrame.setVisible(true);\n\t\t\n\t}","title":""},{"docid":"7ace084682475eea44165f024061dc5c","score":"0.6047532","text":"private void createDataFrame() {\r\n /*------------------------------------------------------------------------*/\r\n dataFrame = null;\r\n if( sat == null ) return;\r\n SatControl ctrl = sat.getControl();\r\n if( ctrl != null ) {\r\n dataFrame=ctrl.messageTaskData(dataSegment,dataOffset,data);\r\n }\r\n }","title":""},{"docid":"5212bfe2461a421e2d61babcdb69809f","score":"0.59192973","text":"public dataFrame getdataFrame(long id) {\n SQLiteDatabase db = this.getReadableDatabase();\n\n Cursor cursor = db.query(dataFrame.TABLE_NAME,\n new String[]{dataFrame.COLUMN_ID, dataFrame.COLUMN_TIME, dataFrame.COLUMN_LONG,dataFrame.COLUMN_LATI},\n dataFrame.COLUMN_ID + \"=?\",\n new String[]{String.valueOf(id)}, null, null, null, null);\n\n if (cursor != null)\n cursor.moveToFirst();\n\n // prepare dataframe object\n dataFrame dataframe= new dataFrame(\n cursor.getInt(cursor.getColumnIndex(dataFrame.COLUMN_ID)),\n cursor.getString(cursor.getColumnIndex(dataFrame.COLUMN_TIME)),\n cursor.getDouble(cursor.getColumnIndex(dataFrame.COLUMN_LONG)),\n cursor.getDouble(cursor.getColumnIndex(dataFrame.COLUMN_LATI)));\n\n // close the db connection\n cursor.close();\n\n return dataframe;\n }","title":""},{"docid":"b61e255cfa806c3ae3ba0c437b63e074","score":"0.59158665","text":"public frameDokter() {\n initComponents();\n }","title":""},{"docid":"b6138a7dcde031952a9f984307d15054","score":"0.58877003","text":"public DataWarga() {\n initComponents();\n setLocationRelativeTo(this);\n setExtendedState(java.awt.Frame.MAXIMIZED_BOTH);\n tampil_data();\n }","title":""},{"docid":"c0f6cc379792decbc6912c085f2885d6","score":"0.58583724","text":"public Frame getFrame();","title":""},{"docid":"a73cf965ccdef47aa57aa2dd99843b15","score":"0.5858236","text":"private void createExtDataFrame() {\r\n /*------------------------------------------------------------------------*/\r\n dataFrame = null;\r\n if( sat == null ) return;\r\n SatControl ctrl = sat.getControl();\r\n if( ctrl != null ) {\r\n dataFrame=ctrl.messageExtTaskData(dataSegment,dataOffset,data);\r\n }\r\n }","title":""},{"docid":"32d96a384b47f671ed933d8ae2d03e1a","score":"0.584933","text":"public VdrsdFrame() {\n initComponents();\n }","title":""},{"docid":"a6395badc9f77e41924a77d9ef645228","score":"0.5827371","text":"public void newFrameEvent(int frameId){\n \n if(ignoreEvents){\n curentFrameId = frameId;\n return;\n }\n //System.err.println(\"NEW FRAME EVENT \"+frameId);\n // save editing\n FrameData frame = null;\n if(curentFrameId != -1){\n try{\n frame = (FrameData)dataContainer.frames.get(curentFrameId);\n }catch(java.lang.IndexOutOfBoundsException ex){\n //ex.printStackTrace(); \n }\n if(frame != null)\n frame.framePoints.clear();\n else{\n frame = new FrameData();\n frame.frameId = curentFrameId;\n dataContainer.frames.add(frame);\n }\n // copy changes that occured on the screen\n for(int i=0; i < userObjects.targetVisualObjects.size(); i++){\n TargetVisualObject visualObject = (TargetVisualObject)userObjects.targetVisualObjects.get(i);\n PointData pointData = new PointData(); \n pointData.x = visualObject.x;\n pointData.y = visualObject.y;\n pointData.markerId = visualObject.tmpData.markerId;\n pointData.pointId = visualObject.tmpData.pointId;\n pointData.frameId = curentFrameId;\n pointData.outOfBoundary = visualObject.outOfBoundary;\n pointData.status = visualObject.status;\n frame.framePoints.add(pointData);\n //System.err.println(\"pass \"+pointData.pointId+\" to frame \"+pointData.frameId+\" \"+pointData.status+ \" x \"+pointData.x+\" \"+pointData.y); \n }\n }\n userObjects.targetVisualObjects.clear();\n userObjects.frameHeight = trackerVideoRenderer.getInHeight();\n userObjects.frameWidth = trackerVideoRenderer.getInWidth();\n\n curentFrameId = frameId;\n frame = null;\n // create new set of data for the frame\n try{\n frame = (FrameData)dataContainer.frames.get(curentFrameId);\n }catch(java.lang.IndexOutOfBoundsException ex){\n //System.err.println(\"NOT FOUND frame \"+curentFrameId);\n }\n System.err.println(\"HANDLING frame \"+curentFrameId);\n \n if(frame == null){\n frame = new FrameData();\n //System.err.println(\"NEW frame \"+curentFrameId);\n dataContainer.frames.add(frame);\n frame.frameId = curentFrameId;\n frame.time = videoFrameAccess.getMediaTime();\n // new frame try top make regression\n if(frameId > 0){\n // copy previous frame data\n int frameIdPrevious = frame.frameId -1;\n try{\n FrameData previousFrame = (FrameData)dataContainer.frames.get(frameIdPrevious);\n for(int i = 0; i < previousFrame.framePoints.size(); i++ ){\n PointData previousPointData = (PointData)previousFrame.framePoints.get(i);\n // skip copying out of frame data\n if(previousPointData.outOfBoundary)\n continue;\n PointData pointData = new PointData();\n copyData(pointData, previousPointData );\n pointData.frameId = frame.frameId;\n frame.framePoints.add(pointData);\n //System.err.println(\"reg point \"+pointData.pointId+\" \"+pointData.x+\" \"+pointData.y );\n }\n }catch(Exception ex){\n \n }\n }\n }\n else{\n for(int i = 0; i < frame.framePoints.size(); i++ ){\n PointData ppointData = (PointData)frame.framePoints.get(i);\n //System.err.println(\"EXISTING frame \"+curentFrameId+\" pid \"+ ppointData.frameId+\" \"+ppointData.status+\" x \"+ppointData.x+\" y \"+ppointData.y);\n }\n // check if some new marker has been added afterwards\n if(frameId > 0){\n int frameIdPrevious = frame.frameId -1;\n FrameData previousFrame = (FrameData)dataContainer.frames.get(frameIdPrevious);\n for(int i = 0; i < previousFrame.framePoints.size(); i++ ){\n PointData previousPointData = (PointData)previousFrame.framePoints.get(i);\n if(previousPointData.outOfBoundary)\n continue;\n if(Collections.binarySearch(frame.framePoints, previousPointData, pointIdComparator) < 0){\n PointData pointData = new PointData();\n copyData(pointData, previousPointData );\n pointData.frameId = frame.frameId;\n frame.framePoints.add(pointData);\n //System.err.println(\"Adding postfound \"+pointData.pointId);\n }\n }\n }\n }\n getRegressionValues(frame);\n // create user objects for given frame\n for(int i=0; i < frame.framePoints.size(); i++){\n //PointData ppointData = (PointData)frame.framePoints.get(i);\n //System.err.println(\" -------- pid \"+ ppointData.pointId+\" \"+ppointData.status+\" x \"+ppointData.x+\" y \"+ppointData.y);\n userObjects.addObjectFromData((PointData)frame.framePoints.get(i)); \n }\n resetDragging();\n }","title":""},{"docid":"d87d5cfa29b7cd02d22b533aa9ec43f9","score":"0.5771096","text":"@Override\n protected void setValuesImpl(Frame owner) {\n\n }","title":""},{"docid":"c9fda614280beb133501d89ea6526a93","score":"0.57530487","text":"public FromFrame() {\n initComponents();\n }","title":""},{"docid":"fe27cd8c9192ad91da91e696316fe8a2","score":"0.5699831","text":"public DichVuFrame() {\n init();\n initComponents();\n }","title":""},{"docid":"c21860b786e00c98e8d371d36d449312","score":"0.568275","text":"public FrameAluno031314() {\n initComponents();\n }","title":""},{"docid":"c65fda632b461c7df8db5feff8d632cd","score":"0.5681374","text":"public UIFrame(String name, int x, int y)\n\t{\n\t\tsuper(name);\n\t\tX = x;\n\t\tY = y;\n\t\tsetSize(x, y);\n\t\tsetButtons();\n\t\tsetLayout(new FlowLayout());\n\t\tsetDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);\n\t\tsetVisible(true);\n\n\t\t// On window resizing this calls a timer so the\n\t\t// window is only resized every 100 milliseconds\n\t\tthis.addComponentListener(new java.awt.event.ComponentAdapter()\n\t\t{\n\t\t\t@Override\n\t\t\tpublic void componentResized(ComponentEvent e)\n\t\t\t{\n\t\t\t\tlater.useLater(100);\n\t\t\t}\n\t\t});\n\n\t\tKeyAdapter ka = new KeyAdapter()\n\t\t{\n\t\t\tpublic void keyPressed(KeyEvent e)\n\t\t\t{\n\t\t\t\tif (e.getKeyCode() == 17)\n\t\t\t\t\tcontrolPressed = true;\n\t\t\t}\n\n\t\t\tpublic void keyReleased(KeyEvent e)\n\t\t\t{\n\t\t\t\tif (e.getKeyCode() == 17)\n\t\t\t\t\tcontrolPressed = false;\n\t\t\t}\n\t\t};\n\n\t\t// This extends the abstract class MouseAdapter and\n\t\t// overrides listeners for mouse dragging, pressing,\n\t\t// releasing and wheel movement.\n\t\tMouseAdapter ma = new MouseAdapter()\n\t\t{\n\t\t\tint sx, sy, dx, dy;\n\n\t\t\t@Override\n\t\t\tpublic void mouseDragged(MouseEvent e)\n\t\t\t{\n\t\t\t\tdx = e.getX() - sx;\n\t\t\t\tdy = e.getY() - sy;\n\t\t\t\tdraw();\n\t\t\t}\n\n\t\t\t@Override\n\t\t\tpublic void mousePressed(MouseEvent e)\n\t\t\t{\n\t\t\t\tsx = e.getX();\n\t\t\t\tsy = e.getY();\n\t\t\t\tdx = dy = 0;\n\t\t\t}\n\n\t\t\t@Override\n\t\t\tpublic void mouseReleased(MouseEvent e)\n\t\t\t{\n\t\t\t\tif (controlPressed)\n\t\t\t\t{\n\t\t\t\t\tdouble ic = (e.getX() + s.getX())\n\t\t\t\t\t\t\t* s.getFac();\n\t\t\t\t\tdouble jc = (e.getY() + s.getY())\n\t\t\t\t\t\t\t* s.getFac();\n\t\t\t\t\tJxValue.setText(Double.toString(ic));\n\t\t\t\t\tJyValue.setText(Double.toString(jc));\n\n\t\t\t\t} else\n\t\t\t\t{\n\t\t\t\t\tdouble drx = (s.getX() + X / 2)\n\t\t\t\t\t\t\t* (tmpFac - 1);\n\t\t\t\t\tdouble dry = (s.getY() + Y / 2)\n\t\t\t\t\t\t\t* (tmpFac - 1);\n\t\t\t\t\ts.setX(s.getX() - (dx - drx));\n\t\t\t\t\ts.setY(s.getY() - (dy - dry));\n\t\t\t\t\ts.setFac(s.getFac() / tmpFac);\n\t\t\t\t\texp = 1 / s.getFac() * initFac;\n\t\t\t\t\tfactor.setText(\"Factor = \"\n\t\t\t\t\t\t\t+ formatter.format(exp));\n\t\t\t\t\tif (re)\n\t\t\t\t\t{\n\t\t\t\t\t\tre = false;\n\t\t\t\t\t\tfor (int i = index; i < last.size(); i++)\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tlast.remove(i);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tfillList();\n\t\t\t\t\ttmpFac = 1.0;\n\t\t\t\t\tdx = dy = 0;\n\t\t\t\t\tstart();\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t@Override\n\t\t\tpublic void mouseWheelMoved(MouseWheelEvent e)\n\t\t\t{\n\t\t\t\tint w = e.getWheelRotation();\n\t\t\t\tdouble r = Math.pow(2, w);\n\t\t\t\ttmpFac *= r;\n\t\t\t\texp = (1 / (s.getFac() / tmpFac) * initFac);\n\t\t\t\tfactor.setText(\"Factor = \"\n\t\t\t\t\t\t+ formatter.format(exp));\n\t\t\t\tdraw();\n\t\t\t}\n\n\t\t\tprivate void draw()\n\t\t\t{\n\t\t\t\tm.cancel(true);\n\t\t\t\tint x1 = (int) ((dx + (X - X * tmpFac) / 2));\n\t\t\t\tint y1 = (int) ((dy + (Y - Y * tmpFac) / 2));\n\t\t\t\tint x2 = (int) (x1 + X * tmpFac);\n\t\t\t\tint y2 = (int) (y1 + Y * tmpFac);\n\t\t\t\tdrawTmp(x1, y1, x2, y2);\n\t\t\t}\n\t\t};\n\t\taddMouseListener(ma);\n\t\taddMouseMotionListener(ma);\n\t\taddMouseWheelListener(ma);\n\t\taddKeyListener(ka);\n\t}","title":""},{"docid":"7087d3893434ea4a6bc76c67d4b784eb","score":"0.5664902","text":"public UnitConvertFrame() {\n initComponents();\n addElementtoCbx();\n }","title":""},{"docid":"12fc8b0c5299a2fb23d161163f8e99db","score":"0.56147236","text":"public void setFrame(int frame)\t{\n \t\tthis.frame = frame;\n \t}","title":""},{"docid":"26ee506c59f64ed9a4077ae26e6112ee","score":"0.56090015","text":"public Frame07() {\n initComponents();\n }","title":""},{"docid":"b6e111336a5e35e52750629078e8026d","score":"0.5603495","text":"public DataInfoFrameV3 getDataInfoFrame(int version, DataInfoFrameV3 args) {\n Frame fr = DKV.getGet(args.frame.key());\n if( null==fr ) throw new IllegalArgumentException(\"no frame found\");\n args.result = new KeyV3.FrameKeyV3(oneHot(fr, args.interactions, args.use_all, args.standardize, args.interactions_only, true)._key);\n return args;\n }","title":""},{"docid":"247af5595a0173a33b2b5b74ae1491e6","score":"0.5544579","text":"private void initializeVariablesOnFrame() {\r\n\t\t\r\n\t\tJLabel dataTitleLBL = new JLabel(\"Title\");\r\n\t\tdataTitleLBL.setBounds(10, 11, 46, 14);\r\n\t\tframe.getContentPane().add(dataTitleLBL);\r\n\t\t\r\n\t\tJLabel dataDescLBL = new JLabel(\"Description\");\r\n\t\tdataDescLBL.setBounds(10, 36, 118, 14);\r\n\t\tframe.getContentPane().add(dataDescLBL);\r\n\t\t\r\n\t\tJLabel publisherLBL = new JLabel(\"Publisher\");\r\n\t\tpublisherLBL.setBounds(10, 61, 118, 14);\r\n\t\tframe.getContentPane().add(publisherLBL);\r\n\t\t\r\n\t\tJLabel dateLBL = new JLabel(\"Date\");\r\n\t\tdateLBL.setBounds(10, 86, 46, 14);\r\n\t\tframe.getContentPane().add(dateLBL);\r\n\t\t\r\n\t\tJLabel dataImgLBL = new JLabel(\"File Image\");\r\n\t\tdataImgLBL.setBounds(10, 111, 60, 14);\r\n\t\tframe.getContentPane().add(dataImgLBL);\r\n\t\t\r\n\t\tJLabel dataFileLBL = new JLabel(\"File\");\r\n\t\tdataFileLBL.setBounds(10, 136, 46, 14);\r\n\t\tframe.getContentPane().add(dataFileLBL);\r\n\t\t\r\n\t\tJLabel contactInfoLBL = new JLabel(\"Contact Information\");\r\n\t\tcontactInfoLBL.setBounds(10, 161, 118, 14);\r\n\t\tframe.getContentPane().add(contactInfoLBL);\r\n\t\t\r\n\t\tdataTitle = new JTextField();\r\n\t\tdataTitle.setBounds(166, 8, 145, 20);\r\n\t\tframe.getContentPane().add(dataTitle);\r\n\t\tdataTitle.setColumns(10);\r\n\t\t\r\n\t\tdataDesc = new JTextField();\r\n\t\tdataDesc.setBounds(166, 33, 258, 20);\r\n\t\tframe.getContentPane().add(dataDesc);\r\n\t\tdataDesc.setColumns(10);\r\n\t\t\r\n\t\tpublisher = new JTextField();\r\n\t\tpublisher.setBounds(166, 58, 145, 20);\r\n\t\tframe.getContentPane().add(publisher);\r\n\t\tpublisher.setColumns(10);\r\n\t\t\r\n\t\tdate = new JTextField();\r\n\t\tdate.setBounds(166, 83, 145, 20);\r\n\t\tframe.getContentPane().add(date);\r\n\t\tdate.setColumns(10);\r\n\t\t\r\n\t\tdataImg = new JTextField();\r\n\t\tdataImg.setBounds(166, 108, 145, 20);\r\n\t\tframe.getContentPane().add(dataImg);\r\n\t\tdataImg.setColumns(10);\r\n\t\t\r\n\t\tdataFile = new JTextField();\r\n\t\tdataFile.setBounds(166, 133, 145, 20);\r\n\t\tframe.getContentPane().add(dataFile);\r\n\t\tdataFile.setColumns(10);\r\n\t\t\r\n\t\tcontactInfo = new JTextField();\r\n\t\tcontactInfo.setBounds(166, 158, 145, 20);\r\n\t\tframe.getContentPane().add(contactInfo);\r\n\t\tcontactInfo.setColumns(10);\r\n\t\t\r\n\t\tJButton SubmitBttn = new JButton(\"Submit\");\r\n\t\tSubmitBttn.setBounds(166, 213, 89, 23);\r\n\t\tframe.getContentPane().add(SubmitBttn);\r\n\t\t\r\n\t\t//Add Listener to Button\r\n\t\tSubmitBttn.addActionListener(new ActionListener(){\r\n\t\t\t\t\tpublic void actionPerformed(ActionEvent arg0) {\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\tverified = verification();\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\t//If inputs are not null, create a new Data() object\r\n\t\t\t\t\t\tif(verified == true)\r\n\t\t\t\t\t\t{\r\n\t\t\t\t\t\t\t DATA[counter] = new Dataset(counter, dataTitle.getText(), dataDesc.getText(), publisher.getText(), date.getText(), dataImg.getText(), dataFile.getText(), contactInfo.getText());\r\n\t\t\t\t\t\t\t JOptionPane.showMessageDialog(null, \"Thank you for your contribution. Your data has been recorded\");\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t\telse\r\n\t\t\t\t\t\t{\r\n\t\t\t\t\t\t\t JOptionPane.showMessageDialog(null, \"Please go back and fill out all fields\");\r\n\t\t\t\t\t\t} \r\n\t\t\t\t\t\t\r\n\t\t\t\t\t}\r\n\t\t\t\r\n\t\t\t\t});\r\n\t\t\r\n\t}","title":""},{"docid":"9ac123f9368c1e528f99cb9afbb32645","score":"0.5510287","text":"private void createFrame(){\n\t\tOptionFrame frame = new OptionFrame(this);\n\t}","title":""},{"docid":"8a80426eae498d61c58c79c771d1c5b2","score":"0.55101246","text":"@Override\n public void set(FootstepDataListMessage message)\n {\n PrintTools.warn(getClass().getSimpleName() + \" contains frame information. No frame resolver was provided. Assuming all data is in world frame.\");\n ReferenceFrame worldFrame = ReferenceFrame.getWorldFrame();\n\n clear();\n\n defaultSwingDuration = message.defaultSwingDuration;\n defaultTransferDuration = message.defaultTransferDuration;\n finalTransferDuration = message.finalTransferDuration;\n executionMode = message.executionMode;\n executionTiming = message.executionTiming;\n ArrayList<FootstepDataMessage> dataList = message.getDataList();\n if (dataList != null)\n {\n for (int i = 0; i < dataList.size(); i++)\n footsteps.add().set(worldFrame, dataList.get(i));\n }\n }","title":""},{"docid":"1fee86530f651ba097046c38699e427a","score":"0.5503693","text":"@Override\n public void processFrame(Frame frame) {\n }","title":""},{"docid":"bc4993f7ea48a892396264b56b31ec3d","score":"0.5502313","text":"private void tiler(JInternalFrame[] frames, Rectangle dBounds) {\r\n frames = getGraphFrames(frames);\r\n\r\n int cols = (int) Math.sqrt(frames.length);\r\n int rows = (int) (Math.ceil(((double) frames.length) / cols));\r\n int lastRow = frames.length - cols * (rows - 1);\r\n int width, height;\r\n\r\n if (lastRow == 0) {\r\n rows--;\r\n height = dBounds.height / rows;\r\n } else {\r\n height = dBounds.height / rows;\r\n if (lastRow < cols) {\r\n rows--;\r\n width = dBounds.width / lastRow;\r\n for (int i = 0; i < lastRow; i++) {\r\n frames[cols * rows + i].setBounds(i * width, rows * height,\r\n width, height);\r\n }\r\n }\r\n }\r\n\r\n width = dBounds.width / cols;\r\n for (int j = 0; j < rows; j++) {\r\n for (int i = 0; i < cols; i++) {\r\n frames[i + j * cols].setBounds(i * width, j * height,\r\n width, height);\r\n }\r\n }\r\n }","title":""},{"docid":"c8ce0c26ac7104c55eb500733eea38ec","score":"0.5501021","text":"public int getFrame()\t{ return frame; }","title":""},{"docid":"52fdffb2aa515ceba8f521fa2e86c3df","score":"0.5494868","text":"public Frame getFenetre(){\r\n\t\treturn this;\r\n\t}","title":""},{"docid":"f497974e609663e1e1f09d8d3eddcd4d","score":"0.5492109","text":"public mainFrame() {\n initComponents();\n \n //add all blank frame into vec\n this.frameVec = new Vector();\n this.frameVec.addElement(frame1);\n this.frameVec.addElement(frame2);\n this.frameVec.addElement(frame3);\n this.frameVec.addElement(frame4);\n this.frameVec.addElement(frame5);\n this.frameVec.addElement(frame6);\n this.frameVec.addElement(frame7);\n this.frameVec.addElement(frame8);\n this.frameVec.addElement(frame9);\n this.frameVec.addElement(frame10);\n \n utils = new myUtils();\n \n }","title":""},{"docid":"e2b22d3c1767a9019f582efa465ce63b","score":"0.5491593","text":"public void dataFrame(File file) throws IOException {\n\n\t\tOutputStream os;\n\t\tbyte[] fileInByte = Files.readAllBytes(file.toPath());\n\n\t\tint seq = (fileInByte.length / MAX_BYTE);\n\n\t\tif (fileInByte.length % MAX_BYTE != 0) {\n\t\t\tseq = seq + 1;\n\t\t}\n\t\tint count = 0;\n\t\tint i = 0;\n\n\t\tfor (i = 0; i < seq - 1; i++) {\n\t\t\tbyte[] byte2DArray = new byte[MAX_BYTE];\n\t\t\tString[] datastream = new String[THIRD];\n\t\t\tfor (int j = 0; j < MAX_BYTE; j++) {\n\t\t\t\tbyte2DArray[j] = fileInByte[count];\n\t\t\t\tcount++;\n\t\t\t}\n\n\t\t\tdatastream = enc.encode(byte2DArray);\n\n\t\t\ttransmitter.transmit(datastream);\n\t\t\tos = new FileOutputStream(+i + file.getName());\n\t\t\tos.write(byte2DArray);\n\t\t\tos.close();\n\t\t}\n\t\tint lastValues = fileInByte.length - ((seq - 1) * MAX_BYTE);\n\n\t\tbyte[] byte2DArray = new byte[lastValues];\n\t\tif (count != 0) {\n\t\t\tfor (int j = 0; j < lastValues; j++) {\n\n\t\t\t\tbyte2DArray[j] = fileInByte[count];\n\t\t\t\tcount++;\n\t\t\t}\n\t\t}\n\t\tString[] datastream = new String[THIRD];\n\t\tdatastream = enc.encode(byte2DArray);\n\n\t\ttransmitter.transmit(datastream);\n\n\t\tos = new FileOutputStream(+i + file.getName());\n\t\tos.write(byte2DArray);\n\t\tos.close();\n\t}","title":""},{"docid":"b89ba381ddb3c25e6b0df8b59e9c2cb2","score":"0.54848075","text":"public MedicinesFrame() {\n initComponents();\n }","title":""},{"docid":"cd556e08aed5ea3c79535c729c8eaba1","score":"0.54844","text":"public TabelleFrame() {\n initComponents();\n }","title":""},{"docid":"704a44f45fe9c071a239549293a9ad00","score":"0.5482052","text":"public MarcasFrame() {\n initComponents();\n cargarMarcas();\n cargarFiltroPaises();\n }","title":""},{"docid":"10ffac2856f56e57ed6f8196f68f7e43","score":"0.54774773","text":"@Override\r\n\tpublic void setData() {\n\t\t\r\n\t}","title":""},{"docid":"3b230f95201d4813f41d4d4f5fbebf18","score":"0.5476411","text":"public CreateCompDataInternalFrame() {\n initComponents();\n hdfDirTextField.setText(\"D:\\\\etsii\\\\pfc\\\\datos\\\\Aqua11A1\");\n terraDirTextField.setText(\"D:\\\\etsii\\\\pfc\\\\datos\\\\Terra11A1\");\n stationsFileTextField.setText(\"D:\\\\etsii\\\\pfc\\\\datos\\\\estacionesagrocabildo.txt\");\n yearSpinner.setValue((Integer) 2009);\n\n }","title":""},{"docid":"c9c9953337782db5b65593b5269a1045","score":"0.54513013","text":"public Frame1() {\n cont = 0;\n nodos = new ArrayList<>();\n arcos = new ArrayList<>();\n setLocation(20, 10);\n setResizable(false);\n initComponents();\n Cargar();\n MatrizDeCostos();\n }","title":""},{"docid":"c959bcddfc8fb46da1838670ade1a3d2","score":"0.5447765","text":"private void sendDataFrame() {\r\n /*------------------------------------------------------------------------*/\r\n timeDataSent = (long)0;\r\n isDataAcked = false;\r\n if( data != null ) {\r\n srvLnk.sendPacketToSpacecraft( dataFrame );\r\n isDataSent = true;\r\n timeDataSent = System.currentTimeMillis();\r\n nbDataSent++;\r\n }\r\n }","title":""},{"docid":"18be32df13b29080f6631e24d175d6a3","score":"0.54434574","text":"public JFrame getFrame(){\n\t\t//return frame;\n\t\treturn DomainBuilder.getInstance().getFrame();\n\t}","title":""},{"docid":"56de463fdaf2957a5bd932b7fb62686d","score":"0.5435581","text":"private String getFrameDataString(List<Larva> larvae) {\n StringBuilder sb = new StringBuilder();\n sb.append(addColumnHeadingsWithSubheadings(larvae, new String[] {\"x (mm)\", \"y (mm)\"}));\n\n //add data\n sb.append(\"\\n\");\n for (int row = 0; row < frames; row++) {\n sb.append(row + 1 + \",\");\n for (int coord = 0; coord < larvae.size(); coord++) {\n String x = \"\";\n String y = \"\";\n\n if (row < larvae.get(coord).getPositionsSize()) {\n //Get pixel x and y positions and convert them into mm. Convert (0,0) from top left to bottom left.\n Double[] currentPosition = larvae.get(coord).getPosition(row);\n if(currentPosition != null) {\n x = String.format(\"%.2f\", (currentPosition[0] * scaleX));\n y = String.format(\"%.2f\", ((movie.getDimensions()[1] - currentPosition[1]) * scaleY));\n }\n }\n String frameData = x + \",\" + y + \",\";\n sb.append(frameData);\n }\n sb.append(\"\\n\");\n }\n return sb.toString();\n }","title":""},{"docid":"7b1ed4ca0fe262245589f08c5d37268f","score":"0.5426296","text":"@Override\n\tpublic void setData() {\n\n\t}","title":""},{"docid":"f97bece82ab6d1ab0a7938a7315b566f","score":"0.5422984","text":"public FrameHistoricoCompras() {\n initComponents();\n }","title":""},{"docid":"6d8962714189ed3836b12f2b312b3e44","score":"0.5418896","text":"private static void setFrame(Frame f, JSlider slider,\r\n JButton saveButton, JButton loadButton,\r\n JButton startButton,\r\n JButton stopButton, JButton resetButton) {\r\n f.setLayout(new GridLayout());\r\n slider.setMajorTickSpacing(SPACING);\r\n slider.setPaintTicks(true);\r\n slider.setPaintLabels(true);\r\n f.add(slider);\r\n f.add(startButton);\r\n f.add(stopButton);\r\n f.add(resetButton);\r\n f.add(saveButton);\r\n f.add(loadButton);\r\n\r\n\r\n }","title":""},{"docid":"73186bab31e9a000de13c9470012a1e1","score":"0.5416077","text":"@Override\n\tpublic int getFrame() {\n\t\treturn mFrame;\n\t}","title":""},{"docid":"fbb826f702d1a884d4526951ddc51803","score":"0.54130965","text":"public SingleFrame(SingleFrame frame) {\n this.raw=frame.raw;\n this.name=frame.name;\n rotationDegrees = frame.rotationDegrees;\n position=new Point(frame.position);\n showtime=frame.showtime;\n scaleX = frame.scaleX;\n scaleY = frame.scaleY;\n }","title":""},{"docid":"e5f7841fa9edd52f3e3253bf3ef86661","score":"0.5408324","text":"public void setData(Datum data){\n findViewById();\n presenter = new ColumnChartPresenter(data);\n presenter.setView(this);\n\n /*interactor = new ColumnChartInteractor();\n interactor.setView(this);\n interactor.setPresenter(presenter);*/\n\n }","title":""},{"docid":"d4ae4fc4715e03dc8efeec64bc2ac1dc","score":"0.5404338","text":"public StatistiquesInternalFrame() {\n initComponents();\n }","title":""},{"docid":"bae94f4834c3fdbc1d1e1defe20386ba","score":"0.53943557","text":"public FirstFrame() {\n initComponents();\n }","title":""},{"docid":"e1d40d3250b96604a2e4b342764010ca","score":"0.5391491","text":"public Part1Frame() {\n initComponents();\n }","title":""},{"docid":"88fdffb1332bf4d937c57a8226fae6fb","score":"0.5388783","text":"public Frame getFrame() {\n return this.frame;\n }","title":""},{"docid":"55969a04fc7d254c83b04f90b18613c0","score":"0.5368913","text":"public CameraData() {\n\t\tcurrentFrame = 0;\n\t\tframes = new Frame[Camera.FRAMES_PER_CAMERA];\n\t\tfor (int i = 0; i < frames.length; i++) {\n\t\t\tframes[i] = new Frame();\n\t\t}\n\t}","title":""},{"docid":"5e05449368ebebc8764d96f98b01e5aa","score":"0.536259","text":"public V_Frame(){\n\n initialize();\n }","title":""},{"docid":"3614558e570fad2c1c0bd48f4fdee947","score":"0.53509766","text":"public static void setFrame(JFrame frame, SimpleDraw content) {\r\n Color bgColor = Color.white;\r\n frame.setBackground(bgColor);\r\n content.setBackground(bgColor);\r\n content.setPreferredSize(new Dimension(WIDTH, HEIGHT));\r\n frame.setContentPane(content);\r\n frame.setResizable(false);\r\n frame.pack();\r\n frame.addWindowListener(new WindowAdapter() {\r\n public void windowClosing(WindowEvent e) { System.exit(0); }\r\n public void windowDeiconified(WindowEvent e) { content.start(); }\r\n public void windowIconified(WindowEvent e) { content.stop(); }\r\n });\r\n\r\n new Thread(content).start();\r\n frame.setVisible(true);\r\n }","title":""},{"docid":"34024bed016d4b21815d6c1ef6874266","score":"0.53450006","text":"public HWTrackFrame() {\n initComponents();\n }","title":""},{"docid":"f4db2033ca17339a7daa9a2ed2c5677a","score":"0.53448427","text":"public InternalFrameRastreio() {\n initComponents();\n setVisible(true);\n inicializa();\n }","title":""},{"docid":"93cdb9493b89700ecbbecaf8f03e6bf9","score":"0.53358686","text":"public Frame getFrame() {\r\n\t\treturn frame;\r\n\t}","title":""},{"docid":"87f484bb8f9e9e74727a891ca5aa5476","score":"0.53245854","text":"public DemoFrame() {\r\n initComponents();\r\n customizeTable();\r\n }","title":""},{"docid":"28738ccc8e9468c5ff58cf4b07c0b32b","score":"0.5323949","text":"@Override\r\n\tpublic void setData() {\n\r\n\t}","title":""},{"docid":"ed6f34673ee63ff210bc1e3b07f2b09f","score":"0.5323281","text":"private void initialize() {\n\t\tframeTabelaZgrade = new JFrame();\n\t\tframeTabelaZgrade.setBounds(100, 100, 450, 350);\n\t\t/**\n\t\t * umjesto JFrame.EXIT_ON_CLOSE, koristit cemo JFrame.DISPOSE_ON_CLOSE. Exit on close zatvara cijelu aplikaciju\n\t\t * dok Dispose samo aktivni prozor\n\t\t */\n\t\tframeTabelaZgrade.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);\n\t\tframeTabelaZgrade.getContentPane().setLayout(null);\n\t\t\n\t\tscrollPane = new JScrollPane();\n\t\tscrollPane.setBounds(12, 12, 424, 262);\n\t\tframeTabelaZgrade.getContentPane().add(scrollPane);\n\t\t\n\t\ttableZgrade = new JTable();\n\t\tscrollPane.setViewportView(tableZgrade);\n\t\ttableZgrade.setModel(new DefaultTableModel(\n\t\t\tnew Object[][] {\n\t\t\t},\n\t\t\tnew String[] {\n\t\t\t\t\"\\u0160ifra\", \"Naziv zgrade\", \"Skra\\u0107enica\"\n\t\t\t}\n\t\t));\n\t\ttableZgrade.getColumnModel().getColumn(1).setPreferredWidth(274);\n\t\ttableZgrade.getColumnModel().getColumn(2).setPreferredWidth(123);\n\t\t\n\t\t/**\n\t\t * Funkcija implementira popunjavanje date tabele zgradama\n\t\t */\n\t\ttry {\n\t\t\tpopuniTabeluZgradama();\n\t\t} catch (SQLException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\t\t\n\t\tbtnIzbrisiZgrade = new JButton(\"Izbriši zgrade\");\n\t\tbtnIzbrisiZgrade.setBounds(12, 286, 150, 25);\n\t\tframeTabelaZgrade.getContentPane().add(btnIzbrisiZgrade);\n\t}","title":""},{"docid":"2a57d7050fb701228a5ec6b1446f2a96","score":"0.5320154","text":"public FrameDataManagement() {\n initComponents();\n setIconImage();\n dbRepository = new DbRepository();\n dbOperations = new DbOperations();\n }","title":""},{"docid":"6bd7d11900b4c17dded7c2d4cc8bba28","score":"0.5311335","text":"public Container getFrame(){return panel;}","title":""},{"docid":"f47475e678f203ab41b59012457fc0ce","score":"0.53083885","text":"public EscritorioFrame(Parqueo parqueo) {\n\t\tthis.manejadorParqueo = new ManejadorParqueo(parqueo);\n\t\tthis.manejadorClientes = new ManejadorClientes(parqueo);\n\t\tthis.manejadorEmpleados = new ManejadorEmpleados(parqueo);\n\t\tthis.reporteador = new Reporteador(parqueo);\n\t\t//cargamos los listados desde archivos\n\t\tmanejadorClientes.cargarListadoClientes();\n\t\tmanejadorParqueo.cargarListadoRegistros();\n\t\t//frames\n\t\tlistadoClientesFrame = new ListadoClientesInternalFrame(manejadorClientes);\n\t\tlistadoRegistrosFrame = new ListadoRegistrosInternalFrame(manejadorParqueo);\n\t\t//dialogos\n\t\tregistroIngresoDialog = new RegistroIngresoDialog(this, manejadorParqueo, manejadorClientes);\n\t\tregistroSalidaDialog = new RegistroSalidaDialog(this, manejadorParqueo);\n\t\t//reportes\n\t\treporte2Frame = new Reporte2InternalFrame(reporteador);\n\t\tinitComponents();\n\t\tthis.setExtendedState(javax.swing.JFrame.MAXIMIZED_BOTH);\n\t\tthis.escritorioPanel.add(listadoClientesFrame);\n\t\tthis.escritorioPanel.add(listadoRegistrosFrame);\n\t\tthis.escritorioPanel.add(reporte2Frame);\n\t\tcambiarValorMedidor(Parqueo.VEHICULO_MOTO);\n\t\tcambiarValorMedidor(Parqueo.VEHICULO_CARRO);\n\t\tcambiarValorMedidor(Parqueo.VEHICULO_CAMION);\n\t\tsetIcon();\n\t}","title":""},{"docid":"7b3487a653591d0f8fa014610eb0c278","score":"0.53029","text":"public SwingViewFactory(JFrame frame) {\n\t\tthis.frame = frame;\n\t}","title":""},{"docid":"79b2be291fbdc3e408346d28552da21e","score":"0.53012496","text":"public OldFrame() {\n initComponents();\n }","title":""},{"docid":"14f8dab2a170e2bc367f262de6c55263","score":"0.5301119","text":"public LineDrawingFrame(Form data) {\n this.data = data;\n initComponents();\n drawAllLines();\n show(); \n }","title":""},{"docid":"96012e7a7f0f637ecb05d67235604ff3","score":"0.52929896","text":"@Override\n public void onPreviewFrame(byte[] data, Camera camera) {\n setCurrentFrame(data);\n }","title":""},{"docid":"d24ce81933d90e957ec2a623de8d714b","score":"0.5291216","text":"public DF_IFVisionGlobale() {\n\n // Configuration des bases \n super(\"Digital Factory - VISION GLOBALE\" + (++openFrameCount),\n true, //resizable\n true, //closable\n true, //maximizable\n true);//iconifiable\n initComponents();\n\n //setBounds(100, 100, 450, 300);\n //getContentPane().setLayout(null);\n setLocation(X_OFFSET * openFrameCount, Y_OFFSET * openFrameCount);\n\n\n /**\n * ***********************************************************************************\n * CONFIGURATION DE LA INTERNAL FRAME\n ************************************************************************************\n */\n JLabel lblNewLabel = new JLabel(\"Frame Voiture\");\n lblNewLabel.setBounds(178, 109, 108, 14);\n getContentPane().add(lblNewLabel);\n\n }","title":""},{"docid":"ada26c426d486d0525be0dd5c4e61691","score":"0.52906024","text":"public SongDetailFrame() {\n\t\tbuildMainPanel();\n\t\tbuildMainFrame();\n\t}","title":""},{"docid":"c6aa04b7755ee04d84e41ad3f6f0520e","score":"0.5289728","text":"public MainFrame getFrame() {\r\n return frame;\r\n }","title":""},{"docid":"97a17756b145bc3edd4f4d965afcc6e7","score":"0.5286203","text":"protected abstract void setData();","title":""},{"docid":"6793f7a7a04289d4cae37dc01b2c503b","score":"0.5283501","text":"public FrameDesc(){\n\n\t\tdirtyBit = false;\n\t\tvalidData = false;\n\t\tdiskPageNum = INVALID_PAGEID;\n\t\tpinCount = 0;\n\t\trefBit = false;\n \t}","title":""},{"docid":"40334dd6c49bcfe4f388c914b7ed9e0f","score":"0.52797407","text":"public JIFrameUsuariosRede(int idUserLogando) {\n this.isMaximum=true;\n this.idUserLogando=idUserLogando;\n initComponents();\n ((BasicInternalFrameUI)this.getUI()).setNorthPane(null); //retirar o painel superior \n this.setBorder(null);//retirar bordas \n this.jButtonSolicitacao.setText(\"[\"+Integer.toString(Dados.getSolicitacaoAmizade(idUserLogando).size())+\"]\");\n if(Dados.getSolicitacaoAmizade(idUserLogando).size()>0){\n jButtonSolicitacao.setCursor(new java.awt.Cursor(java.awt.Cursor.HAND_CURSOR));\n jButtonSolicitacao.setOpaque(true);\n Color padrao=new Color(153,0,0);\n jButtonSolicitacao.setBackground(padrao);\n }else{\n jButtonSolicitacao.setOpaque(false);\n jButtonSolicitacao.setCursor(new java.awt.Cursor(java.awt.Cursor.HAND_CURSOR));\n }\n this.jButtonMensagem.setText(\"[\"+Integer.toString(Dados.getMensagensBD().size())+\"]\");\n this.lstMinhasAtividades=new ArrayList();\n \n for (Atividade atividade : Dados.getAtividadesBD()) {//percorre lista de atividades\n if(atividade.getIdUsuario()==idUserLogando){//verifica se a atividade possui o id do usuário logado\n lstMinhasAtividades.add(atividade);//adiciona a atividade na lista de atividades especificas do usuario\n }\n }\n JIFramePerfil jIFramePefil = new JIFramePerfil(idUserLogando);\n jIFramePefil.idUserLogando=Principal.getIdUserLogando();\n jDesktopPane.add(jIFramePefil);\n jIFramePefil.setVisible(true);\n try {jIFramePefil.setMaximum(true);} \n catch (PropertyVetoException ex) { }\n \n }","title":""},{"docid":"12c400c8cbbe7397a17792be5d4b8f57","score":"0.5253175","text":"protected byte[] createFrame (byte[] data) {\n\tQueue<Byte> intermediate = new LinkedList<Byte>();\n\tintermediate.add(dataTag);\n\tintermediate.add(FrameNumber);\n\tfor(int i =0; i < data.length; i +=1){\n\t byte current = data[i];\n\t intermediate.add(current);\n\t}\n\tbyte parity = calculateParity(intermediate);\n\n\n\n\n\tQueue<Byte> framingData = new LinkedList<Byte>();\n\t \n\tframingData.add(startTag);\t\n\n\tframingData.add(parity);\n\n\tframingData.add(dataTag);\n\n\tframingData.add(FrameNumber);\n\n\t// Add each byte of original data.\n\tfor (int i = 0; i < data.length; i += 1) {\n\n\t // If the current data byte is itself a metadata tag, then precede\n\t // it with an escape tag.\n\t byte currentByte = data[i];\n\t if ((currentByte == startTag) ||\n\t\t(currentByte == stopTag) ||\n\t\t(currentByte == escapeTag)) {\n\n\t\tframingData.add(escapeTag);\n\n\t }\n\n\t // Add the data byte itself.\n\t framingData.add(currentByte);\n\n\t}\n\n\t// End with a stop tag.\n\tframingData.add(stopTag);\n\n\t// Convert to the desired byte array.\n\tbyte[] framedData = new byte[framingData.size()];\n\tIterator<Byte> i = framingData.iterator();\n\tint j = 0;\n\twhile (i.hasNext()) {\n\t framedData[j++] = i.next();\n\t}\n\n\treturn framedData;\n\t\n }","title":""},{"docid":"14cb89cdd77850e86e13e8350ad974b4","score":"0.5252138","text":"public int getFrame(){\n return currentFrame;\n }","title":""},{"docid":"8d20b81f2afa9a6405a83c30b9d0848d","score":"0.5240681","text":"public FrameInfo() {\n initComponents();\n }","title":""},{"docid":"0e8092bd86e1094085cef236d2c92d34","score":"0.5237967","text":"public void doOneFrame(DrawSurface d, double dt) {\r\n //Filind the window color.\r\n d.setColor(Color.lightGray);\r\n d.fillRectangle(0, 0 , GUIWIDTH, GUIHEIGHT);\r\n //Drawing the headline.\r\n d.setColor(Color.yellow);\r\n d.drawText(d.getWidth() / 16, d.getHeight() / 16, \"High scores\", 32);\r\n //Drawing the other headlines.\r\n int playerNameWidth = d.getWidth() / 10;\r\n int playerScoreWidth = d.getWidth() / 2 + 10;\r\n int firstLineHeight = d.getHeight() / 7;\r\n //The player name headline.\r\n d.setColor(Color.orange);\r\n d.drawText(playerNameWidth, firstLineHeight, \"Player Name\", 25);\r\n //The score headline.\r\n d.setColor(Color.orange);\r\n d.drawText(playerScoreWidth, firstLineHeight, \"Score\", 25);\r\n //Drawing a line under the headline.\r\n d.setColor(Color.white);\r\n d.drawLine(playerNameWidth, firstLineHeight + 3, d.getWidth() / 2 + 100, firstLineHeight);\r\n //Drawing the players info.\r\n List<ScoreInfo> scores = this.scoresTable.getHighScores();\r\n for (int i = 1; i <= scores.size(); i++) {\r\n //Drawing the players names.\r\n d.setColor(Color.orange);\r\n d.drawText(playerNameWidth, firstLineHeight + i * 30, scores.get(i - 1).getName(), 25);\r\n //Drawing the players scores.\r\n d.setColor(Color.orange);\r\n d.drawText(playerScoreWidth, firstLineHeight + i * 30, scores.get(i - 1).getScore() + \"\", 25);\r\n }\r\n //The text to press space to continue.\r\n d.setColor(Color.WHITE);\r\n d.drawText(d.getWidth() / 6, d.getHeight() - 60, \"Press space to continue\", 32);\r\n }","title":""},{"docid":"8c4c55182cdba93e22b07763ca87c209","score":"0.523782","text":"public frmReporteDirector(java.awt.Frame parent, boolean modal) {\n super(parent, modal);\n initComponents(); \n this.getContentPane().setLayout (new GridBagLayout());\n //creamos el diagrama circular de Soliciatados vs Bolsa Verde\n fecha= new Date();\n SimpleDateFormat formatoDelTexto = new SimpleDateFormat(\"yyyy-MM-dd\");\n String strFecha = \"2013-01-01\"; //se debe poner el año en curso\n \n try {\n FIni=formatoDelTexto.parse(strFecha);\n } catch (ParseException ex) {\n Logger.getLogger(frmReporteDirector.class.getName()).log(Level.SEVERE, null, ex);\n }\n graficaComparaciones();\n graficaEstadisticas();\n graficaEstadisticasDia();\n graficaEstadisticasQuincena();\n pack();\n \n\n }","title":""},{"docid":"9114e445bd23b551eeb4fc42ee1c0103","score":"0.52364063","text":"public ArabaAlmaFrame() {\n initComponents();\n }","title":""},{"docid":"fcc71b1407c6459e0066bf68be553899","score":"0.5233415","text":"private void setData() {\n\n }","title":""},{"docid":"aacdea321c13190961c2dfd985b475ce","score":"0.52279866","text":"private void initialize() {\r\n\t\tframe = new JFrame();\r\n\t\tframe.setBounds(100, 100, 901, 780);\r\n\t\tframe.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);\r\n\t\tSpringLayout springLayout = new SpringLayout();\r\n\t\tframe.getContentPane().setLayout(springLayout);\r\n\r\n\t\tJPanel panel = new JPanel();\r\n\t\tpanel.setBackground(Color.WHITE);\r\n\t\tspringLayout.putConstraint(SpringLayout.NORTH, panel, 10, SpringLayout.NORTH, frame.getContentPane());\r\n\t\tspringLayout.putConstraint(SpringLayout.WEST, panel, 10, SpringLayout.WEST, frame.getContentPane());\r\n\t\tspringLayout.putConstraint(SpringLayout.SOUTH, panel, 731, SpringLayout.NORTH, frame.getContentPane());\r\n\t\tspringLayout.putConstraint(SpringLayout.EAST, panel, 875, SpringLayout.WEST, frame.getContentPane());\r\n\t\tframe.getContentPane().add(panel);\r\n\r\n\t\tReadCSV readCSV = new ReadCSV();\r\n\t\tArrayList<EnergyVO> list = readCSV.getList();\r\n\r\n\t\t// 그래프의 값과 정보를 기억하고 있는 객체를 생성\r\n\t\t// 바차트\r\n\t\tDefaultCategoryDataset dataset1 = new DefaultCategoryDataset();\r\n\r\n\t\t// 파이차트\r\n\t\t// key와 value만 있으면 됨\r\n\t\tDefaultPieDataset dataset2 = new DefaultPieDataset();\r\n\r\n\t\t// 1.크기 2.범례 3.x축\r\n\r\n\t\tfor (int i = 0; i < list.size(); i++) {\r\n\t\t\tdataset1.addValue(list.get(i).getUsage(), list.get(i).getMonth(), list.get(i).getDivision());\r\n\t\t\tdataset2.setValue(list.get(i).getDivision(), list.get(i).getUsage());\r\n\r\n\t\t}\r\n\r\n//\t\tdataset1.addValue(20, \"test\", \"사과\");\r\n//\t\tdataset1.addValue(40, \"test\", \"바나나\");\r\n//\t\tdataset1.addValue(50, \"test\", \"오렌지\");\r\n//\t\tdataset1.addValue(20, \"test\", \"복숭아\");\r\n//\t\tdataset1.addValue(50, \"result\", \"파인애플\");\r\n//\t\tdataset1.addValue(20, \"result\", \"a\");\r\n//\t\tdataset1.addValue(20, \"result\", \"b\");\r\n//\t\tdataset1.addValue(50, \"result\", \"c\");\r\n//\t\tdataset1.addValue(30, \"result\", \"d\");\r\n\r\n\t\t// 그래프를 그리는 객체 생성\r\n\t\t// 1.제목 2.x축 설명 3.y축 설명 4.그래프데이터 5.그래프종류(상하 또는 좌우) 6.범례사용여부 (t/f) 7.툴팁 사용여부(t/f)\r\n\t\t// 8.확대기능사용여부(t/f)\r\n\r\n\t\tJFreeChart barChart = ChartFactory.createBarChart(\"기간별사용량\", \"구분\", \"사용량\", dataset1, PlotOrientation.HORIZONTAL,\r\n\t\t\t\ttrue, true, true);\r\n\r\n\t\tJFreeChart pieChart = ChartFactory.createPieChart(\"기간별사용량\", dataset2, false, true, true);\r\n\r\n\t\t// createBarChart 에서 createAreaChart로 바꾸는 법\r\n//\t\tJFreeChart barChart = ChartFactory.createAreaChart(\"과일판매량\", \"종류\", \"판매수\", dataset1, PlotOrientation.HORIZONTAL,\r\n//\t\t\t\ttrue, true, true);\r\n\r\n\t\t// 한글 인코딩, 한글 글씨체를 저장할 객체 생성\r\n\t\t// 1.폰트종류 2.폰트스타일 3.크기\r\n\t\tFont f = new Font(\"Gulim\", Font.BOLD, 14);\r\n\r\n\t\t// 그래프 제목에 한글 적용\r\n\t\tbarChart.getTitle().setFont(f);\r\n\t\tpieChart.getTitle().setFont(f);\r\n\r\n\t\t// x축 y축 한글적용\r\n\t\tCategoryPlot plot1 = barChart.getCategoryPlot();\r\n\t\t// x축 한글\r\n\t\tplot1.getDomainAxis().setLabelFont(f);\r\n\t\tplot1.getDomainAxis().setTickLabelFont(f);\r\n\t\t\r\n\t\t\r\n\r\n\t\t// y축 한글\r\n\t\tplot1.getRangeAxis().setLabelFont(f);\r\n\t\tplot1.getRangeAxis().setTickLabelFont(f);\r\n\t\t\r\n\t\tPiePlot plot2 = (PiePlot)pieChart.getPlot();\r\n\t\tplot2.setLabelFont(f);\r\n\t\t\r\n\r\n\t\t// 그려진 그래프를 차트 패널에 올리기\r\n\t\tChartPanel chartPanel = new ChartPanel(barChart);\r\n\t\tChartPanel chartPanel_1 = new ChartPanel(pieChart);\r\n\r\n\t\t// 그래프 크기 조절\r\n\t\t// 너비, 높이\r\n//\t\tchartPanel.setPreferredSize(new java.awt.Dimension(300, 500));\r\n//\t\tpanel.add(chartPanel);\r\n\t\tpanel.add(chartPanel_1);\r\n\r\n\t}","title":""},{"docid":"27cfba695745fc007554c626a4a9d631","score":"0.5225924","text":"private void initialize(String f, int n, int m) {\n\t\tframe = new JFrame();\n\t\tframe.setIconImage(Toolkit.getDefaultToolkit().getImage(\"image/icon_Party.png\"));\n\t\tframe.setResizable(false); // 창크기 조절 \n\t\tframe.setBounds(100, 100, 621, 443);\n\t\tframe.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);\n\t\tframe.getContentPane().setLayout(null);\n\t\t\n\t\tJLabel lblNewLabel = new JLabel(\"\\uC9C4\\uD589\\uC608\\uC815 \\uCD95\\uC81C\\uBAA9\\uB85D\");\n\t\tlblNewLabel.setHorizontalAlignment(SwingConstants.CENTER);\n\t\tlblNewLabel.setFont(new Font(\"굴림\", Font.BOLD, 25));\n\t\tlblNewLabel.setBounds(182, 21, 235, 27);\n\t\tframe.getContentPane().add(lblNewLabel);\n\t\t\n\t\tJScrollPane scrollPane = new JScrollPane();\n\t\tscrollPane.setBounds(47, 72, 497, 296);\n\t\tframe.getContentPane().add(scrollPane);\n\t\tscrollPane.setOpaque(false); // pane 투명하게 \n\t\tscrollPane.getViewport().setOpaque(false);\n\t\t\n\t\tString[] colName = {\"번호\",\"축제명\",\"시작예정날짜\",\"종료예정날짜\",\"예정장소\",\"테마정보\",\"정원\",\"현재인원\",\"총후원금액\"};\n\t\tListDAO dao = new ListDAO();\n\t\tArrayList<ListDTO> FestivalList_1 = dao.Festivalinfo();\n\t\t//System.out.println(dao.Festivalinfo().get(1).getNum());\n\t\tObject[][] data = new Object[FestivalList_1.size()][9];\n\t\t//if(dao.Festivalinfo().get(6)>=dao.Festivalinfo().get(7)) {}\n\t\t\n\t\tint num2=1;\n\t\tfor(int i=0;i<data.length;i++) {\n\t\t\tdata[i][0]=num2;\n\t\t\tdata[i][1]=FestivalList_1.get(i).getName();\n\t\t\tdata[i][2]=FestivalList_1.get(i).getDay_start();\n\t\t\tdata[i][3]=FestivalList_1.get(i).getDay_last();\n\t\t\tdata[i][4]=FestivalList_1.get(i).getLoc();\n\t\t\tdata[i][5]=FestivalList_1.get(i).getTheme();\n\t\t\tdata[i][6]=FestivalList_1.get(i).getNum();\n\t\t\tdata[i][7]=FestivalList_1.get(i).getN_num();\n\t\t\tdata[i][8]=FestivalList_1.get(i).getMoney();\n\t\t\tnum2++;\n\t\t}\n\t\t\n\t\t\n\t\ttable = new JTable(data,colName);\n\t\ttable.getColumn(\"총후원금액\").setWidth(0);\n\t\ttable.getColumn(\"총후원금액\").setMinWidth(0);\n\t\ttable.getColumn(\"총후원금액\").setMaxWidth(0);\n\n\t\t\n\t\ttable.addMouseListener(new MouseAdapter() {\n\t\t\t@Override\n\t\t\tpublic void mouseClicked(MouseEvent e) {\n\t\t\t\tint index = table.getSelectedRow();\n\t\t\t\tTableModel model = table.getModel();\n\t\t\t\tString f = (String) model.getValueAt(index, 1);\n\t\t\t\tint n = (int) model.getValueAt(index, 7);\n\t\t\t\tint m = (int) model.getValueAt(index, 8);\n\t\t\t\t//System.out.println(n+\"List gui의 n\");\n\t\t\t\tMore_GUI more = new More_GUI(f,n,m);\n\t\t\t\tframe.dispose();\n\n\t\t\t}\n\t\t});\n\t\tscrollPane.setViewportView(table);\n\t\t\n\t\t// 뒤로가기 버튼\n\t\t\t\tJButton btn_back = new JButton(\"\");\n\t\t\t\t\n\t\t\t\timgPath = \"image/icon_left.png\";\n\n\t\t\t\t\n\t\t\n\t\tfor(int i=0;i<data.length;i++) {\n\t\t\tif(FestivalList_1.get(i).getN_num()>=FestivalList_1.get(i).getNum()) {\n\t\t\t//delete 시키고 \n\t\t\t\tfestivalDAO festdao = new festivalDAO();\n\t\t\t\tjava.sql.Date stDate = convert(FestivalList_1.get(i).getDay_start());\n\t\t\t\tjava.sql.Date laDate = convert(FestivalList_1.get(i).getDay_last());\n\t\t\t\t//열고\n\t\t\t\tfestdao.PlusFest(FestivalList_1.get(i).getName(),stDate, laDate, FestivalList_1.get(i).getLoc(),FestivalList_1.get(i).getTheme(),FestivalList_1.get(i).getN_num());\n\t\t\t\t//db닫고\n\t\t\t\tdao.delFest(FestivalList_1.get(i).getName()); //수정필요\n\t\t\t\tSystem.out.println(FestivalList_1.get(i).getName());\n\t\t\t\t//insert 시키고\n\t\t}\n\t\t} \n\t\n\t\toriginIcon = new ImageIcon(imgPath); // 이미지 크기 맞추기\n\t\toriginImg = originIcon.getImage();\n\t\tchangedImg = originImg.getScaledInstance(38, 38, Image.SCALE_SMOOTH);\n\t\tficon = new ImageIcon(changedImg);\n\t\tbtn_back.setIcon(ficon);\n\t\t\n\t\tbtn_back.addActionListener(new ActionListener() {\n\t\t\tpublic void actionPerformed(ActionEvent e) {\n\t\t\t\tframe.dispose();\n\t\t\t\tmainGUI maingui = new mainGUI(); //메인 화면으로 돌아가기\n\t\t\t}\n\t\t});\n\t\tbtn_back.setContentAreaFilled(false); // 버튼 투명하게 하기\n\t\tbtn_back.setBorderPainted(false); // 버튼 라인 없애기\n\t\tbtn_back.setBounds(36, 28, 38, 38);\n\t\tframe.getContentPane().add(btn_back);\n\t\t\n\t\tJLabel lblNewLabel_1 = new JLabel(\"\");\n\t\timgPath = \"image/info_Background.jpg\";\n\n\t\toriginIcon = new ImageIcon(imgPath); // 이미지 크기 맞추기\n\t\toriginImg = originIcon.getImage();\n\t\tchangedImg = originImg.getScaledInstance(615, 411, Image.SCALE_SMOOTH);\n\t\tficon = new ImageIcon(changedImg);\n\t\tlblNewLabel_1.setIcon(ficon);\n\t\tlblNewLabel_1.setBounds(0, 3, 615, 411);\n\t\tframe.getContentPane().add(lblNewLabel_1);\n\t\t\n\t\t\n\t\t\n\t\t\n\n\t\n\t\n\t\n\n\t\t\n\t}","title":""},{"docid":"5b97bc911ced162983747ea9633999d9","score":"0.5225465","text":"public static void main(String[] args) {\n\t\tdf=new DemoFrame2();\r\n\t\tdf.addMouseListener(new MouseListener() {\r\n\t\t\t\r\n\t\t\t@Override\r\n\t\t\tpublic void mouseReleased(MouseEvent e) {\r\n\t\t\t\t// TODO Auto-generated method stub\r\n\t\t\t\t\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\t@Override\r\n\t\t\tpublic void mousePressed(MouseEvent e) {\r\n\t\t\t\t// TODO Auto-generated method stub\r\n\t\t\t\t\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\t@Override\r\n\t\t\tpublic void mouseExited(MouseEvent e) {\r\n\t\t\t\t// TODO Auto-generated method stub\r\n\t\t\t\t\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\t@Override\r\n\t\t\tpublic void mouseEntered(MouseEvent e) {\r\n\t\t\t\t// TODO Auto-generated method stub\r\n\t\t\t\t\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\t@Override\r\n\t\t\tpublic void mouseClicked(MouseEvent e) {\r\n\t\t\t\t// TODO Auto-generated method stub\r\n\t\t\t\t//计算虚拟棋盘（二维数组）落子坐标(i,j)\r\n\t\t\t\tint x,y,i,j;\r\n\t\t\t\tx=e.getPoint().x-19;\r\n\t\t\t\ty=e.getPoint().y-40;\r\n\t\t\t\tif(x%30>15){\r\n\t\t\t\t\tj=x/30+1;\r\n\t\t\t\t}\r\n\t\t\t\telse{\r\n\t\t\t\t\tj=x/30;\r\n\t\t\t\t}\r\n\t\t\t\tif(y%30>15){\r\n\t\t\t\t\ti=y/30+1;\r\n\t\t\t\t}\r\n\t\t\t\telse{\r\n\t\t\t\t\ti=y/30;\r\n\t\t\t\t}\r\n\t\t\t\tif(df.vqpan[i][j]==0){\r\n\t\t\t\t\tif(df.isPeple) {\r\n\t\t\t\t\t\tdf.isPeple=false;\r\n\t\t\t\t\t\tdf.vqpan[i][j]=1;\r\n\t\t\t\t\tdf.vqpan[i][j]=1;//虚拟棋盘落白子\r\n\t\t\t\t\tfor(int q=0;q<15;q++) {\r\n\t\t\t\t\t\tfor(int w=0;w<15;w++) {\r\n\t\t\t\t\t\t\tif(df.vqpan[q][w]==1&&df.vqpan[q][w+1]==1&&df.vqpan[q][w+2]==1&&df.vqpan[q][w+3]==1&&df.vqpan[q][w+4]==1||\r\n\t\t\t\t\t\t\t\tdf.vqpan[q][w]==1&&df.vqpan[q+1][w]==1&&df.vqpan[q+2][w]==1&&df.vqpan[q+3][w]==1&&df.vqpan[q+4][w]==1||\r\n\t\t\t\t\t\t\t\tdf.vqpan[q][w]==1&&df.vqpan[q+1][w+1]==1&&df.vqpan[q+2][w+2]==1&&df.vqpan[q+3][w+3]==1&&df.vqpan[q+4][w+4]==1||\r\n\t\t\t\t\t\t\t\tdf.vqpan[q][w]==1&&df.vqpan[q+1][w-1]==1&&df.vqpan[q+2][w-2]==1&&df.vqpan[q+3][w-3]==1&&df.vqpan[q+4][w-4]==1\r\n\t\t\t\t\t\t\t\t\t) {\r\n\t\t\t\t\t\t\t\tJOptionPane.showMessageDialog(null, \"白棋获胜\", \"对战结果:\", JOptionPane.INFORMATION_MESSAGE);\r\n\t\t\t\t\t\t\t}\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\t/////添加判断输赢代码\t\t\r\n\t\t\t\t\t}\r\n\t\t\t\t\telse {\r\n\t\t\t\t\tdf.isPeple=true;\r\n\t\t\t\t\tdf.vqpan[i][j]=2;//计算机虚拟棋盘落黑子\r\n\t\t\t\t\t}\r\n\t\t\t\t\tfor(int q=0;q<15;q++) {\r\n\t\t\t\t\t\tfor(int w=0;w<15;w++) {\r\n\t\t\t\t\t\t\tif(df.vqpan[q][w]==2&&df.vqpan[q][w+1]==2&&df.vqpan[q][w+2]==2&&df.vqpan[q][w+3]==2&&df.vqpan[q][w+4]==2||\r\n\t\t\t\t\t\t\t\tdf.vqpan[q][w]==2&&df.vqpan[q+1][w]==2&&df.vqpan[q+2][w]==2&&df.vqpan[q+3][w]==2&&df.vqpan[q+4][w]==2||\r\n\t\t\t\t\t\t\t\tdf.vqpan[q][w]==2&&df.vqpan[q+1][w+1]==2&&df.vqpan[q+2][w+2]==2&&df.vqpan[q+3][w+3]==2&&df.vqpan[q+4][w+4]==2||\r\n\t\t\t\t\t\t\t\tdf.vqpan[q][w]==2&&df.vqpan[q+1][w-1]==2&&df.vqpan[q+2][w-2]==2&&df.vqpan[q+3][w-3]==2&&df.vqpan[q+4][w-4]==2\r\n\t\t\t\t\t\t\t\t\t) {\r\n\t\t\t\t\t\t\t\tJOptionPane.showMessageDialog(null, \"电脑获胜\", \"对战结果:\", JOptionPane.ERROR_MESSAGE);\r\n\t\t\t\t\t\t\t}\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\t/////添加判断输赢代码\t\t\t\t\t\r\n\t\t\t\t\tdf.repaint();//刷新，重新绘画\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t});\r\n\t}","title":""},{"docid":"6fb44bf3a4b611ddb951937032c40ac7","score":"0.5221055","text":"public JFrame getTheFrame() {\n return theFrame;\n }","title":""},{"docid":"f8e5d2d091e65f3d618960211cbb3bbb","score":"0.5212266","text":"public BspDate(Frame parent) {\n super(parent, true);\n this.dateField = null;\n initComponents();\n initDialog();\n }","title":""},{"docid":"65602126d3f592a034268f8f4c651876","score":"0.5207202","text":"public JFrame getFrame() {\r\n\t\treturn frame;\r\n\t\t//That's a guess -jack\r\n\t}","title":""},{"docid":"eb8a96f92510719431cec630e73cac70","score":"0.5206045","text":"public Frame getFrame() {\n throw new UnsupportedOperationException(\n \"AWT Frame components are not created by the Viewer class\");\n }","title":""},{"docid":"cf6f8f4a958d648e79a11cb2c68dc4c1","score":"0.5205286","text":"public Frame1() {\n initComponents();\n }","title":""},{"docid":"cf6f8f4a958d648e79a11cb2c68dc4c1","score":"0.5205286","text":"public Frame1() {\n initComponents();\n }","title":""},{"docid":"cf6f8f4a958d648e79a11cb2c68dc4c1","score":"0.5205286","text":"public Frame1() {\n initComponents();\n }","title":""},{"docid":"b584c182cfa708a30744e7dedc3e4991","score":"0.5204845","text":"public intDATOS() {\n \n heig=getToolkit().getScreenSize().height ;\n width=getToolkit().getScreenSize().width ;\n \n area[0] = width-38;\n area[1] = heig-200;\n initComponents();\n dim=super.getToolkit().getScreenSize();\n super.setSize(dim);\n \n //crear escenario default\n Escenario escenario = new Escenario(area);\n escenario.setFuentes(new ArrayList<Fuente>());\n Simulacion simulacion = new Simulacion(343, 20, escenario,100);\n Aswos.getAswos(simulacion).setSimulacion(simulacion);\n \n EscenarioControlador.matrixCoordenadas(area);\n\n }","title":""},{"docid":"b26b3e78e6bced581620e8226889f08b","score":"0.51988745","text":"public AlcodonFrame()\n {\n super();\n this._alcodonList = new java.util.Vector();\n this._alcodMapList = new java.util.Vector();\n }","title":""},{"docid":"a314a8acaa73add93b9c5748bbdf20f4","score":"0.5198008","text":"public void frame_add(JList framelist, JTextField frame_add_textfield) {\n FrameItemHolder fih = new FrameItemHolder();\r\n\r\n fih.rthumb = servoitemholder[0][0].sli.getValue();\r\n fih.rindex = servoitemholder[0][1].sli.getValue();\r\n fih.rmajeure = servoitemholder[0][2].sli.getValue();\r\n fih.rringfinger = servoitemholder[0][3].sli.getValue();\r\n fih.rpinky = servoitemholder[0][4].sli.getValue();\r\n fih.rwrist = servoitemholder[0][5].sli.getValue();\r\n\r\n fih.rbicep = servoitemholder[1][0].sli.getValue();\r\n fih.rrotate = servoitemholder[1][1].sli.getValue();\r\n fih.rshoulder = servoitemholder[1][2].sli.getValue();\r\n fih.romoplate = servoitemholder[1][3].sli.getValue();\r\n\r\n fih.lthumb = servoitemholder[2][0].sli.getValue();\r\n fih.lindex = servoitemholder[2][1].sli.getValue();\r\n fih.lmajeure = servoitemholder[2][2].sli.getValue();\r\n fih.lringfinger = servoitemholder[2][3].sli.getValue();\r\n fih.lpinky = servoitemholder[2][4].sli.getValue();\r\n fih.lwrist = servoitemholder[2][5].sli.getValue();\r\n\r\n fih.lbicep = servoitemholder[3][0].sli.getValue();\r\n fih.lrotate = servoitemholder[3][1].sli.getValue();\r\n fih.lshoulder = servoitemholder[3][2].sli.getValue();\r\n fih.lomoplate = servoitemholder[3][3].sli.getValue();\r\n\r\n fih.neck = servoitemholder[4][0].sli.getValue();\r\n fih.rothead = servoitemholder[4][1].sli.getValue();\r\n fih.eyeX = servoitemholder[4][2].sli.getValue();\r\n fih.eyeY = servoitemholder[4][3].sli.getValue();\r\n fih.jaw = servoitemholder[4][4].sli.getValue();\r\n\r\n fih.topStom = servoitemholder[5][0].sli.getValue();\r\n fih.midStom = servoitemholder[5][1].sli.getValue();\r\n fih.lowStom = servoitemholder[5][2].sli.getValue();\r\n\r\n fih.sleep = -1;\r\n fih.speech = null;\r\n fih.name = frame_add_textfield.getText();\r\n\r\n frameitemholder.add(fih);\r\n\r\n framelistact(framelist);\r\n }","title":""},{"docid":"817b05aea32e5171190ac206a3ddfc0d","score":"0.5194783","text":"private void initData() {\n\t\tnombreSedes = getMapaByPosition(getData(), 0);\n\t\tannios = getMapaByPosition(getData(), 1);\n\t\tnombreCampeones = getMapaByPosition(getData(), 2);\n\t\tresultados = getMapaByPosition(getData(), 3);\n\t\tnombreSubCampeones = getMapaByPosition(getData(), 4);\n\t}","title":""},{"docid":"82750d8bb37c0e29139fc3582e215b74","score":"0.5194538","text":"@Override\n public void onData(Stream stream, DataFrame frame, Callback callback) {\n }","title":""},{"docid":"82750d8bb37c0e29139fc3582e215b74","score":"0.5194538","text":"@Override\n public void onData(Stream stream, DataFrame frame, Callback callback) {\n }","title":""},{"docid":"103c80b9f8495e97a15e316266c9a613","score":"0.51880425","text":"String getFrame();","title":""},{"docid":"23f5ab7828d39f5234ee5c4bc00976b2","score":"0.5179337","text":"public void Frame()\r\n\t{\r\n\t\tArrays.stream(_VehicleLabels.toArray()).forEach(vehicle -> {\r\n\t\t\tif(Controller.GetController().get_GameController() != null)\r\n\t\t\t{\r\n\t\t\t\t((InGameLabel) vehicle).CalcNextFrame();\r\n\t\t\t}\r\n\t\t});\r\n\t\t\r\n\t\trepaint();\t\t\r\n\t}","title":""},{"docid":"b34e5f2513ffe95ca51224bd6bcc8a18","score":"0.5174064","text":"public Retur() {\n initComponents();\n setExtendedState(JFrame.MAXIMIZED_BOTH);\n startClock();\n loadData(\"\");\n }","title":""},{"docid":"9bc5c0595edb12df0c1f6d9c4d8a4d0f","score":"0.51721823","text":"void renderFrame(Element container);","title":""},{"docid":"8b5746760e2b72449d43bd55ff586b61","score":"0.51716363","text":"void setFrame(GUI_Frame fr) {\n root_frame = fr;\n panel.add(pl1_points_l);\n if (root_frame.getNoOfPlayers() == 2) panel.add(pl2_points_l);\n }","title":""},{"docid":"ff73a3cc54d1e04dbea611eacf475a56","score":"0.51706165","text":"public void doOneFrame(DrawSurface d, double dt) {\r\n // print HighScoresTable to the screen\r\n d.drawText(d.getWidth() / 2 - 150, d.getHeight() / 2 - 220, \"High Scores\", 50);\r\n int i = 0;\r\n for (ScoreInfo scoreInfo : this.hScoresTable.getHighScores()) {\r\n d.drawText(d.getWidth() / 2 - 200, d.getHeight() / 2 - 150 + i * 35, \"\" + scoreInfo.getName(), 32);\r\n d.drawText(d.getWidth() / 2 + 150, d.getHeight() / 2 - 150 + i * 35, \"\" + scoreInfo.getScore(), 32);\r\n i++;\r\n }\r\n d.drawText(d.getWidth() / 2 - 300, d.getHeight() / 2 - 150 + i * 35 + 50, \"Press Space to Main Menu\", 50);\r\n }","title":""},{"docid":"c12884a2ba5f0927aa6bef8d33b752a2","score":"0.5170471","text":"private void paintFrame1(GraphicsContext gc){\n\t\tWritableImage shownFrame1 = new WritableImage(bg.getPixelReader(), currentX[0], currentY[0],frameWidth , frameHeight);\n\t\tgc.drawImage(shownFrame1, 550, 25);\n\t\tfor(IRenderable r : IRenderableHolder.getInstance().getEntities()){\n\t\t\tEntity p = (Entity)r;\n\t\t\t\n\t\t\tif(isInFrame(p.getX(), p.getY(), currentX[0], currentY[0])){\n\t\t\t\tint x = 550 + p.getX() - currentX[0];\n\t\t\t\tint y = 25 + p.getY() - currentY[0];\n\t\t\t\tp.draw(gc, x, y);\n\t\t\t}\n\t\t}\n\t}","title":""},{"docid":"387be7f1590399a5e3fda8bb0afffd6c","score":"0.51681995","text":"public ChooserFrame(JFrame frame) {\n initComponents();\n this.setLocationRelativeTo(null);\n this.setResizable(false);\n this.frame = frame;\n escogeC.setContentAreaFilled(false);\n escogeU.setContentAreaFilled(false);\n escogeP.setContentAreaFilled(false);\n jButton2.setContentAreaFilled(false);\n jason = new Jason();\n arbol = new Arbol();\n \n \n }","title":""},{"docid":"c00b4e552d572bfb76c60c3f3cfdda04","score":"0.51674426","text":"private void resetFrame(){\n\t\tcontainer.removeAll();\r\n\t}","title":""},{"docid":"c0335e3dcbfe22137931236fd3bde7cc","score":"0.5166437","text":"private void iniciaFrames() {\n\t\ttheServiciosEntidades = new ServiciosEntidades(); \r\n\t\ttheServiciosEntidades.setControlador(this);\t\t\r\n\t\ttheServiciosAtributos = new ServiciosAtributos();\r\n\t\ttheServiciosAtributos.setControlador(this);\r\n\t\ttheServiciosRelaciones = new ServiciosRelaciones();\r\n\t\ttheServiciosRelaciones.setControlador(this);\r\n\t\ttheServiciosDominios = new ServiciosDominios();\r\n\t\ttheServiciosDominios.setControlador(this);\r\n\t\ttheServiciosSistema = new GeneradorEsquema();\r\n\t\ttheServiciosSistema.reset();\r\n\t\ttheServiciosSistema.setControlador(this);\r\n\r\n\t\t// Fuera\r\n\t\ttheGUIInsertarEntidad = new GUI_InsertarEntidad();\r\n\t\ttheGUIInsertarEntidad.setControlador(this);\r\n\t\ttheGUIInsertarRelacion = new GUI_InsertarRelacion();\r\n\t\ttheGUIInsertarRelacion.setControlador(this);\r\n\t\ttheGUIInsertarDominio = new GUI_InsertarDominio();\r\n\t\ttheGUIInsertarDominio.setControlador(this);\r\n\t\ttheGUIConexion = new GUI_Conexion();\r\n\t\ttheGUIConexion.setControlador(this);\r\n\t\ttheGUISeleccionarConexion = new GUI_SeleccionarConexion();\r\n\t\ttheGUISeleccionarConexion.setControlador(this);\r\n\r\n\t\t// Entidades\r\n\t\ttheGUIRenombrarEntidad = new GUI_RenombrarEntidad();\r\n\t\ttheGUIRenombrarEntidad.setControlador(this);\r\n\t\ttheGUIAnadirAtributoEntidad = new GUI_AnadirAtributoEntidad();\r\n\t\ttheGUIAnadirAtributoEntidad.setControlador(this);\r\n\t\ttheGUIAnadirRestriccionAEntidad = new GUI_InsertarRestriccionAEntidad();\r\n\t\ttheGUIAnadirRestriccionAEntidad.setControlador(this);\r\n\t\ttheGUIAnadirAtributo = new GUI_AnadirAtributo();\r\n\t\ttheGUIAnadirAtributo.setControlador(this);\r\n\r\n\t\t// Atributos\r\n\t\ttheGUIRenombrarAtributo = new GUI_RenombrarAtributo();\r\n\t\ttheGUIRenombrarAtributo.setControlador(this);\r\n\t\ttheGUIEditarDominioAtributo = new GUI_EditarDominioAtributo();\r\n\t\ttheGUIEditarDominioAtributo.setControlador(this);\r\n\t\ttheGUIAnadirSubAtributoAtributo = new GUI_AnadirSubAtributoAtributo();\r\n\t\ttheGUIAnadirSubAtributoAtributo.setControlador(this);\r\n\t\ttheGUIAnadirRestriccionAAtributo = new GUI_InsertarRestriccionAAtributo();\r\n\t\ttheGUIAnadirRestriccionAAtributo.setControlador(this);\r\n\r\n\t\t// Relaciones IsA\r\n\t\ttheGUIEstablecerEntidadPadre = new GUI_EstablecerEntidadPadre();\r\n\t\ttheGUIEstablecerEntidadPadre.setControlador(this);\r\n\t\ttheGUIQuitarEntidadPadre = new GUI_QuitarEntidadPadre();\r\n\t\ttheGUIQuitarEntidadPadre.setControlador(this);\r\n\t\ttheGUIAnadirEntidadHija = new GUI_AnadirEntidadHija();\r\n\t\ttheGUIAnadirEntidadHija.setControlador(this);\r\n\t\ttheGUIQuitarEntidadHija = new GUI_QuitarEntidadHija();\r\n\t\ttheGUIQuitarEntidadHija.setControlador(this);\r\n\r\n\t\t// Relaciones Normales\r\n\t\ttheGUIRenombrarRelacion = new GUI_RenombrarRelacion();\r\n\t\ttheGUIRenombrarRelacion.setControlador(this);\r\n\t\ttheGUIAnadirEntidadARelacion = new GUI_AnadirEntidadARelacion();\r\n\t\ttheGUIAnadirEntidadARelacion.setControlador(this);\r\n\t\ttheGUIQuitarEntidadARelacion = new GUI_QuitarEntidadARelacion();\r\n\t\ttheGUIQuitarEntidadARelacion.setControlador(this);\r\n\t\ttheGUIEditarCardinalidadEntidad = new GUI_EditarCardinalidadEntidad();\r\n\t\ttheGUIEditarCardinalidadEntidad.setControlador(this);\r\n\t\ttheGUIAnadirAtributoRelacion = new GUI_AnadirAtributoRelacion();\r\n\t\ttheGUIAnadirAtributoRelacion.setControlador(this);\r\n\t\ttheGUIAnadirRestriccionARelacion = new GUI_InsertarRestriccionARelacion();\r\n\t\ttheGUIAnadirRestriccionARelacion.setControlador(this);\r\n\r\n\t\t// Dominios\r\n\t\ttheGUIRenombrarDominio = new GUI_RenombrarDominio();\r\n\t\ttheGUIRenombrarDominio.setControlador(this);\r\n\t\ttheGUIModificarElementosDominio = new GUI_ModificarDominio();\r\n\t\ttheGUIModificarElementosDominio.setControlador(this);\r\n\t\t\r\n\t\t// Otras\r\n\t\tabout = new GUI_About();\r\n\t\ttheGUIWorkSpace = new GUI_SaveAs();\r\n\t\ttheGUIWorkSpace.setControlador(this);\r\n\t\tpanelOpciones= new GUI_Pregunta();\r\n\t}","title":""}],"string":"[\n {\n \"docid\": \"498d0b1093ac7c10be8dc3b367284c52\",\n \"score\": \"0.615675\",\n \"text\": \"public void frameDay()\\n\\t{\\n\\t\\tcolumnTitles2[0] = \\\"Index\\\";\\n\\t\\tcolumnTitles2[1] = \\\"First Name\\\";\\n\\t\\tcolumnTitles2[2] = \\\"Last Name\\\";\\n\\t\\tcolumnTitles2[3] = \\\"Date\\\";\\n\\t\\tcolumnTitles2[4] = \\\"Exercise Type\\\";\\n\\t\\tcolumnTitles2[5] = \\\"Exercise Min\\\";\\n\\t\\tcolumnTitles2[6] = \\\"Water\\\";\\n\\t\\tcolumnTitles2[7] = \\\"Energy\\\";\\n\\t\\tcolumnTitles2[8] = \\\"Sleep\\\";\\t\\n\\t\\tcolumnTitles2[9] = \\\"Digestion\\\";\\n\\t\\tcolumnTitles2[10] = \\\"System\\\";\\n\\t\\t\\n\\t\\tdayFrame.setBounds(500, 500, 1500, 2000); \\n\\t\\tdayFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);\\n\\t\\t\\n\\t\\tdatePanel.add(dateLabel);\\n\\t\\tdatePanel.add(boxDay);\\n\\t\\tdatePanel.add(boxMonth);\\n\\t\\tdatePanel.add(boxYear);\\n\\t\\t\\n\\t\\tfirstnPanel.add(firstnLabel);\\n\\t\\tfirstnPanel.add(firstn);\\n\\t\\t\\n\\t\\tlastnPanel.add(lastnLabel);\\t\\n\\t\\tlastnPanel.add(lastn);\\n\\t\\t\\n\\t\\texerciseTypePanel.add(exerciseTypeLabel);\\t\\n\\t\\texerciseTypePanel.add(exerciseType);\\n\\t\\t\\n\\t\\texerciseMinPanel.add(exerciseMinLabel);\\n\\t\\texerciseMinPanel.add(exerciseMin);\\n\\t\\t\\n\\t\\tsystemPanel.add(systemLabel);\\n\\t\\tsystemPanel.add(metric);\\n\\t\\tsystemPanel.add(imperial);\\n\\t\\t\\n\\t\\tdigestionPanel.add(digestionLabel);\\n\\t\\tdigestionPanel.add(digestion);\\n\\t\\t\\n\\t\\tsleepPanel.add(sleepLabel);\\n\\t\\tsleepPanel.add(sleep);\\n\\t\\t\\n\\t\\twaterPanel.add(waterMetricLabel);\\n\\t\\twaterPanel.add(water);\\n\\t\\t\\n\\t\\tenergyPanel.add(energyLabel);\\n\\t\\tenergyPanel.add(energy);\\n\\t\\t\\n\\t\\tindexPanel.add(indexLabel);\\n\\t\\tindexPanel.add(indexD);\\n\\t\\t\\n\\t\\tgroup1.add(metric);\\n\\t\\tgroup1.add(imperial);\\n\\t\\t\\n\\t\\tbox.add(waterPanel);\\n\\t\\tbox.add(datePanel);\\n\\t\\tbox.add(sleepPanel);\\n\\t\\tbox.add(exerciseMinPanel);\\n\\t\\tbox.add(systemPanel);\\n\\t\\tbox.add(exerciseTypePanel);\\n\\t\\tbox.add(firstnPanel);\\n\\t\\tbox.add(lastnPanel);\\n\\t\\tbox.add(indexPanel);\\n\\t\\tbox.add(energyPanel);\\n\\t\\tbox.add(digestionPanel);\\n\\t\\t\\n\\t\\tdayTable.addActionListener(this);\\t\\t\\n\\t\\tinsert.addActionListener(this);\\n\\t\\tupdate.addActionListener(this);\\n\\t\\tdelete.addActionListener(this);\\n\\t\\tmetric.addActionListener(this);\\n\\t\\texit.addActionListener(this);\\n\\t\\timperial.addActionListener(this);\\n\\t\\tback.addActionListener(this);\\n\\t\\t\\n\\t\\tbuttonPanel.add(dayTable);\\t\\n\\t\\tbuttonPanel.add(insert);\\n\\t\\tbuttonPanel.add(update);\\n\\t\\tbuttonPanel.add(delete);\\n\\t\\tbuttonPanel.add(back);\\n\\t\\tbuttonDPanel.add(exit);\\n\\t\\t\\n\\t dayFrame.add(buttonPanel,BorderLayout.SOUTH);\\t\\n\\t\\tdayFrame.add(box,BorderLayout.NORTH);\\n\\t\\tdayFrame.setVisible(true);\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ace084682475eea44165f024061dc5c\",\n \"score\": \"0.6047532\",\n \"text\": \"private void createDataFrame() {\\r\\n /*------------------------------------------------------------------------*/\\r\\n dataFrame = null;\\r\\n if( sat == null ) return;\\r\\n SatControl ctrl = sat.getControl();\\r\\n if( ctrl != null ) {\\r\\n dataFrame=ctrl.messageTaskData(dataSegment,dataOffset,data);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5212bfe2461a421e2d61babcdb69809f\",\n \"score\": \"0.59192973\",\n \"text\": \"public dataFrame getdataFrame(long id) {\\n SQLiteDatabase db = this.getReadableDatabase();\\n\\n Cursor cursor = db.query(dataFrame.TABLE_NAME,\\n new String[]{dataFrame.COLUMN_ID, dataFrame.COLUMN_TIME, dataFrame.COLUMN_LONG,dataFrame.COLUMN_LATI},\\n dataFrame.COLUMN_ID + \\\"=?\\\",\\n new String[]{String.valueOf(id)}, null, null, null, null);\\n\\n if (cursor != null)\\n cursor.moveToFirst();\\n\\n // prepare dataframe object\\n dataFrame dataframe= new dataFrame(\\n cursor.getInt(cursor.getColumnIndex(dataFrame.COLUMN_ID)),\\n cursor.getString(cursor.getColumnIndex(dataFrame.COLUMN_TIME)),\\n cursor.getDouble(cursor.getColumnIndex(dataFrame.COLUMN_LONG)),\\n cursor.getDouble(cursor.getColumnIndex(dataFrame.COLUMN_LATI)));\\n\\n // close the db connection\\n cursor.close();\\n\\n return dataframe;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b61e255cfa806c3ae3ba0c437b63e074\",\n \"score\": \"0.59158665\",\n \"text\": \"public frameDokter() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6138a7dcde031952a9f984307d15054\",\n \"score\": \"0.58877003\",\n \"text\": \"public DataWarga() {\\n initComponents();\\n setLocationRelativeTo(this);\\n setExtendedState(java.awt.Frame.MAXIMIZED_BOTH);\\n tampil_data();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c0f6cc379792decbc6912c085f2885d6\",\n \"score\": \"0.58583724\",\n \"text\": \"public Frame getFrame();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a73cf965ccdef47aa57aa2dd99843b15\",\n \"score\": \"0.5858236\",\n \"text\": \"private void createExtDataFrame() {\\r\\n /*------------------------------------------------------------------------*/\\r\\n dataFrame = null;\\r\\n if( sat == null ) return;\\r\\n SatControl ctrl = sat.getControl();\\r\\n if( ctrl != null ) {\\r\\n dataFrame=ctrl.messageExtTaskData(dataSegment,dataOffset,data);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"32d96a384b47f671ed933d8ae2d03e1a\",\n \"score\": \"0.584933\",\n \"text\": \"public VdrsdFrame() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a6395badc9f77e41924a77d9ef645228\",\n \"score\": \"0.5827371\",\n \"text\": \"public void newFrameEvent(int frameId){\\n \\n if(ignoreEvents){\\n curentFrameId = frameId;\\n return;\\n }\\n //System.err.println(\\\"NEW FRAME EVENT \\\"+frameId);\\n // save editing\\n FrameData frame = null;\\n if(curentFrameId != -1){\\n try{\\n frame = (FrameData)dataContainer.frames.get(curentFrameId);\\n }catch(java.lang.IndexOutOfBoundsException ex){\\n //ex.printStackTrace(); \\n }\\n if(frame != null)\\n frame.framePoints.clear();\\n else{\\n frame = new FrameData();\\n frame.frameId = curentFrameId;\\n dataContainer.frames.add(frame);\\n }\\n // copy changes that occured on the screen\\n for(int i=0; i < userObjects.targetVisualObjects.size(); i++){\\n TargetVisualObject visualObject = (TargetVisualObject)userObjects.targetVisualObjects.get(i);\\n PointData pointData = new PointData(); \\n pointData.x = visualObject.x;\\n pointData.y = visualObject.y;\\n pointData.markerId = visualObject.tmpData.markerId;\\n pointData.pointId = visualObject.tmpData.pointId;\\n pointData.frameId = curentFrameId;\\n pointData.outOfBoundary = visualObject.outOfBoundary;\\n pointData.status = visualObject.status;\\n frame.framePoints.add(pointData);\\n //System.err.println(\\\"pass \\\"+pointData.pointId+\\\" to frame \\\"+pointData.frameId+\\\" \\\"+pointData.status+ \\\" x \\\"+pointData.x+\\\" \\\"+pointData.y); \\n }\\n }\\n userObjects.targetVisualObjects.clear();\\n userObjects.frameHeight = trackerVideoRenderer.getInHeight();\\n userObjects.frameWidth = trackerVideoRenderer.getInWidth();\\n\\n curentFrameId = frameId;\\n frame = null;\\n // create new set of data for the frame\\n try{\\n frame = (FrameData)dataContainer.frames.get(curentFrameId);\\n }catch(java.lang.IndexOutOfBoundsException ex){\\n //System.err.println(\\\"NOT FOUND frame \\\"+curentFrameId);\\n }\\n System.err.println(\\\"HANDLING frame \\\"+curentFrameId);\\n \\n if(frame == null){\\n frame = new FrameData();\\n //System.err.println(\\\"NEW frame \\\"+curentFrameId);\\n dataContainer.frames.add(frame);\\n frame.frameId = curentFrameId;\\n frame.time = videoFrameAccess.getMediaTime();\\n // new frame try top make regression\\n if(frameId > 0){\\n // copy previous frame data\\n int frameIdPrevious = frame.frameId -1;\\n try{\\n FrameData previousFrame = (FrameData)dataContainer.frames.get(frameIdPrevious);\\n for(int i = 0; i < previousFrame.framePoints.size(); i++ ){\\n PointData previousPointData = (PointData)previousFrame.framePoints.get(i);\\n // skip copying out of frame data\\n if(previousPointData.outOfBoundary)\\n continue;\\n PointData pointData = new PointData();\\n copyData(pointData, previousPointData );\\n pointData.frameId = frame.frameId;\\n frame.framePoints.add(pointData);\\n //System.err.println(\\\"reg point \\\"+pointData.pointId+\\\" \\\"+pointData.x+\\\" \\\"+pointData.y );\\n }\\n }catch(Exception ex){\\n \\n }\\n }\\n }\\n else{\\n for(int i = 0; i < frame.framePoints.size(); i++ ){\\n PointData ppointData = (PointData)frame.framePoints.get(i);\\n //System.err.println(\\\"EXISTING frame \\\"+curentFrameId+\\\" pid \\\"+ ppointData.frameId+\\\" \\\"+ppointData.status+\\\" x \\\"+ppointData.x+\\\" y \\\"+ppointData.y);\\n }\\n // check if some new marker has been added afterwards\\n if(frameId > 0){\\n int frameIdPrevious = frame.frameId -1;\\n FrameData previousFrame = (FrameData)dataContainer.frames.get(frameIdPrevious);\\n for(int i = 0; i < previousFrame.framePoints.size(); i++ ){\\n PointData previousPointData = (PointData)previousFrame.framePoints.get(i);\\n if(previousPointData.outOfBoundary)\\n continue;\\n if(Collections.binarySearch(frame.framePoints, previousPointData, pointIdComparator) < 0){\\n PointData pointData = new PointData();\\n copyData(pointData, previousPointData );\\n pointData.frameId = frame.frameId;\\n frame.framePoints.add(pointData);\\n //System.err.println(\\\"Adding postfound \\\"+pointData.pointId);\\n }\\n }\\n }\\n }\\n getRegressionValues(frame);\\n // create user objects for given frame\\n for(int i=0; i < frame.framePoints.size(); i++){\\n //PointData ppointData = (PointData)frame.framePoints.get(i);\\n //System.err.println(\\\" -------- pid \\\"+ ppointData.pointId+\\\" \\\"+ppointData.status+\\\" x \\\"+ppointData.x+\\\" y \\\"+ppointData.y);\\n userObjects.addObjectFromData((PointData)frame.framePoints.get(i)); \\n }\\n resetDragging();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d87d5cfa29b7cd02d22b533aa9ec43f9\",\n \"score\": \"0.5771096\",\n \"text\": \"@Override\\n protected void setValuesImpl(Frame owner) {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c9fda614280beb133501d89ea6526a93\",\n \"score\": \"0.57530487\",\n \"text\": \"public FromFrame() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fe27cd8c9192ad91da91e696316fe8a2\",\n \"score\": \"0.5699831\",\n \"text\": \"public DichVuFrame() {\\n init();\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c21860b786e00c98e8d371d36d449312\",\n \"score\": \"0.568275\",\n \"text\": \"public FrameAluno031314() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c65fda632b461c7df8db5feff8d632cd\",\n \"score\": \"0.5681374\",\n \"text\": \"public UIFrame(String name, int x, int y)\\n\\t{\\n\\t\\tsuper(name);\\n\\t\\tX = x;\\n\\t\\tY = y;\\n\\t\\tsetSize(x, y);\\n\\t\\tsetButtons();\\n\\t\\tsetLayout(new FlowLayout());\\n\\t\\tsetDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);\\n\\t\\tsetVisible(true);\\n\\n\\t\\t// On window resizing this calls a timer so the\\n\\t\\t// window is only resized every 100 milliseconds\\n\\t\\tthis.addComponentListener(new java.awt.event.ComponentAdapter()\\n\\t\\t{\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void componentResized(ComponentEvent e)\\n\\t\\t\\t{\\n\\t\\t\\t\\tlater.useLater(100);\\n\\t\\t\\t}\\n\\t\\t});\\n\\n\\t\\tKeyAdapter ka = new KeyAdapter()\\n\\t\\t{\\n\\t\\t\\tpublic void keyPressed(KeyEvent e)\\n\\t\\t\\t{\\n\\t\\t\\t\\tif (e.getKeyCode() == 17)\\n\\t\\t\\t\\t\\tcontrolPressed = true;\\n\\t\\t\\t}\\n\\n\\t\\t\\tpublic void keyReleased(KeyEvent e)\\n\\t\\t\\t{\\n\\t\\t\\t\\tif (e.getKeyCode() == 17)\\n\\t\\t\\t\\t\\tcontrolPressed = false;\\n\\t\\t\\t}\\n\\t\\t};\\n\\n\\t\\t// This extends the abstract class MouseAdapter and\\n\\t\\t// overrides listeners for mouse dragging, pressing,\\n\\t\\t// releasing and wheel movement.\\n\\t\\tMouseAdapter ma = new MouseAdapter()\\n\\t\\t{\\n\\t\\t\\tint sx, sy, dx, dy;\\n\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void mouseDragged(MouseEvent e)\\n\\t\\t\\t{\\n\\t\\t\\t\\tdx = e.getX() - sx;\\n\\t\\t\\t\\tdy = e.getY() - sy;\\n\\t\\t\\t\\tdraw();\\n\\t\\t\\t}\\n\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void mousePressed(MouseEvent e)\\n\\t\\t\\t{\\n\\t\\t\\t\\tsx = e.getX();\\n\\t\\t\\t\\tsy = e.getY();\\n\\t\\t\\t\\tdx = dy = 0;\\n\\t\\t\\t}\\n\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void mouseReleased(MouseEvent e)\\n\\t\\t\\t{\\n\\t\\t\\t\\tif (controlPressed)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tdouble ic = (e.getX() + s.getX())\\n\\t\\t\\t\\t\\t\\t\\t* s.getFac();\\n\\t\\t\\t\\t\\tdouble jc = (e.getY() + s.getY())\\n\\t\\t\\t\\t\\t\\t\\t* s.getFac();\\n\\t\\t\\t\\t\\tJxValue.setText(Double.toString(ic));\\n\\t\\t\\t\\t\\tJyValue.setText(Double.toString(jc));\\n\\n\\t\\t\\t\\t} else\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tdouble drx = (s.getX() + X / 2)\\n\\t\\t\\t\\t\\t\\t\\t* (tmpFac - 1);\\n\\t\\t\\t\\t\\tdouble dry = (s.getY() + Y / 2)\\n\\t\\t\\t\\t\\t\\t\\t* (tmpFac - 1);\\n\\t\\t\\t\\t\\ts.setX(s.getX() - (dx - drx));\\n\\t\\t\\t\\t\\ts.setY(s.getY() - (dy - dry));\\n\\t\\t\\t\\t\\ts.setFac(s.getFac() / tmpFac);\\n\\t\\t\\t\\t\\texp = 1 / s.getFac() * initFac;\\n\\t\\t\\t\\t\\tfactor.setText(\\\"Factor = \\\"\\n\\t\\t\\t\\t\\t\\t\\t+ formatter.format(exp));\\n\\t\\t\\t\\t\\tif (re)\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\tre = false;\\n\\t\\t\\t\\t\\t\\tfor (int i = index; i < last.size(); i++)\\n\\t\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\t\\tlast.remove(i);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tfillList();\\n\\t\\t\\t\\t\\ttmpFac = 1.0;\\n\\t\\t\\t\\t\\tdx = dy = 0;\\n\\t\\t\\t\\t\\tstart();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void mouseWheelMoved(MouseWheelEvent e)\\n\\t\\t\\t{\\n\\t\\t\\t\\tint w = e.getWheelRotation();\\n\\t\\t\\t\\tdouble r = Math.pow(2, w);\\n\\t\\t\\t\\ttmpFac *= r;\\n\\t\\t\\t\\texp = (1 / (s.getFac() / tmpFac) * initFac);\\n\\t\\t\\t\\tfactor.setText(\\\"Factor = \\\"\\n\\t\\t\\t\\t\\t\\t+ formatter.format(exp));\\n\\t\\t\\t\\tdraw();\\n\\t\\t\\t}\\n\\n\\t\\t\\tprivate void draw()\\n\\t\\t\\t{\\n\\t\\t\\t\\tm.cancel(true);\\n\\t\\t\\t\\tint x1 = (int) ((dx + (X - X * tmpFac) / 2));\\n\\t\\t\\t\\tint y1 = (int) ((dy + (Y - Y * tmpFac) / 2));\\n\\t\\t\\t\\tint x2 = (int) (x1 + X * tmpFac);\\n\\t\\t\\t\\tint y2 = (int) (y1 + Y * tmpFac);\\n\\t\\t\\t\\tdrawTmp(x1, y1, x2, y2);\\n\\t\\t\\t}\\n\\t\\t};\\n\\t\\taddMouseListener(ma);\\n\\t\\taddMouseMotionListener(ma);\\n\\t\\taddMouseWheelListener(ma);\\n\\t\\taddKeyListener(ka);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7087d3893434ea4a6bc76c67d4b784eb\",\n \"score\": \"0.5664902\",\n \"text\": \"public UnitConvertFrame() {\\n initComponents();\\n addElementtoCbx();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12fc8b0c5299a2fb23d161163f8e99db\",\n \"score\": \"0.56147236\",\n \"text\": \"public void setFrame(int frame)\\t{\\n \\t\\tthis.frame = frame;\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"26ee506c59f64ed9a4077ae26e6112ee\",\n \"score\": \"0.56090015\",\n \"text\": \"public Frame07() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6e111336a5e35e52750629078e8026d\",\n \"score\": \"0.5603495\",\n \"text\": \"public DataInfoFrameV3 getDataInfoFrame(int version, DataInfoFrameV3 args) {\\n Frame fr = DKV.getGet(args.frame.key());\\n if( null==fr ) throw new IllegalArgumentException(\\\"no frame found\\\");\\n args.result = new KeyV3.FrameKeyV3(oneHot(fr, args.interactions, args.use_all, args.standardize, args.interactions_only, true)._key);\\n return args;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"247af5595a0173a33b2b5b74ae1491e6\",\n \"score\": \"0.5544579\",\n \"text\": \"private void initializeVariablesOnFrame() {\\r\\n\\t\\t\\r\\n\\t\\tJLabel dataTitleLBL = new JLabel(\\\"Title\\\");\\r\\n\\t\\tdataTitleLBL.setBounds(10, 11, 46, 14);\\r\\n\\t\\tframe.getContentPane().add(dataTitleLBL);\\r\\n\\t\\t\\r\\n\\t\\tJLabel dataDescLBL = new JLabel(\\\"Description\\\");\\r\\n\\t\\tdataDescLBL.setBounds(10, 36, 118, 14);\\r\\n\\t\\tframe.getContentPane().add(dataDescLBL);\\r\\n\\t\\t\\r\\n\\t\\tJLabel publisherLBL = new JLabel(\\\"Publisher\\\");\\r\\n\\t\\tpublisherLBL.setBounds(10, 61, 118, 14);\\r\\n\\t\\tframe.getContentPane().add(publisherLBL);\\r\\n\\t\\t\\r\\n\\t\\tJLabel dateLBL = new JLabel(\\\"Date\\\");\\r\\n\\t\\tdateLBL.setBounds(10, 86, 46, 14);\\r\\n\\t\\tframe.getContentPane().add(dateLBL);\\r\\n\\t\\t\\r\\n\\t\\tJLabel dataImgLBL = new JLabel(\\\"File Image\\\");\\r\\n\\t\\tdataImgLBL.setBounds(10, 111, 60, 14);\\r\\n\\t\\tframe.getContentPane().add(dataImgLBL);\\r\\n\\t\\t\\r\\n\\t\\tJLabel dataFileLBL = new JLabel(\\\"File\\\");\\r\\n\\t\\tdataFileLBL.setBounds(10, 136, 46, 14);\\r\\n\\t\\tframe.getContentPane().add(dataFileLBL);\\r\\n\\t\\t\\r\\n\\t\\tJLabel contactInfoLBL = new JLabel(\\\"Contact Information\\\");\\r\\n\\t\\tcontactInfoLBL.setBounds(10, 161, 118, 14);\\r\\n\\t\\tframe.getContentPane().add(contactInfoLBL);\\r\\n\\t\\t\\r\\n\\t\\tdataTitle = new JTextField();\\r\\n\\t\\tdataTitle.setBounds(166, 8, 145, 20);\\r\\n\\t\\tframe.getContentPane().add(dataTitle);\\r\\n\\t\\tdataTitle.setColumns(10);\\r\\n\\t\\t\\r\\n\\t\\tdataDesc = new JTextField();\\r\\n\\t\\tdataDesc.setBounds(166, 33, 258, 20);\\r\\n\\t\\tframe.getContentPane().add(dataDesc);\\r\\n\\t\\tdataDesc.setColumns(10);\\r\\n\\t\\t\\r\\n\\t\\tpublisher = new JTextField();\\r\\n\\t\\tpublisher.setBounds(166, 58, 145, 20);\\r\\n\\t\\tframe.getContentPane().add(publisher);\\r\\n\\t\\tpublisher.setColumns(10);\\r\\n\\t\\t\\r\\n\\t\\tdate = new JTextField();\\r\\n\\t\\tdate.setBounds(166, 83, 145, 20);\\r\\n\\t\\tframe.getContentPane().add(date);\\r\\n\\t\\tdate.setColumns(10);\\r\\n\\t\\t\\r\\n\\t\\tdataImg = new JTextField();\\r\\n\\t\\tdataImg.setBounds(166, 108, 145, 20);\\r\\n\\t\\tframe.getContentPane().add(dataImg);\\r\\n\\t\\tdataImg.setColumns(10);\\r\\n\\t\\t\\r\\n\\t\\tdataFile = new JTextField();\\r\\n\\t\\tdataFile.setBounds(166, 133, 145, 20);\\r\\n\\t\\tframe.getContentPane().add(dataFile);\\r\\n\\t\\tdataFile.setColumns(10);\\r\\n\\t\\t\\r\\n\\t\\tcontactInfo = new JTextField();\\r\\n\\t\\tcontactInfo.setBounds(166, 158, 145, 20);\\r\\n\\t\\tframe.getContentPane().add(contactInfo);\\r\\n\\t\\tcontactInfo.setColumns(10);\\r\\n\\t\\t\\r\\n\\t\\tJButton SubmitBttn = new JButton(\\\"Submit\\\");\\r\\n\\t\\tSubmitBttn.setBounds(166, 213, 89, 23);\\r\\n\\t\\tframe.getContentPane().add(SubmitBttn);\\r\\n\\t\\t\\r\\n\\t\\t//Add Listener to Button\\r\\n\\t\\tSubmitBttn.addActionListener(new ActionListener(){\\r\\n\\t\\t\\t\\t\\tpublic void actionPerformed(ActionEvent arg0) {\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tverified = verification();\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t//If inputs are not null, create a new Data() object\\r\\n\\t\\t\\t\\t\\t\\tif(verified == true)\\r\\n\\t\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\t\\t DATA[counter] = new Dataset(counter, dataTitle.getText(), dataDesc.getText(), publisher.getText(), date.getText(), dataImg.getText(), dataFile.getText(), contactInfo.getText());\\r\\n\\t\\t\\t\\t\\t\\t\\t JOptionPane.showMessageDialog(null, \\\"Thank you for your contribution. Your data has been recorded\\\");\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\telse\\r\\n\\t\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\t\\t JOptionPane.showMessageDialog(null, \\\"Please go back and fill out all fields\\\");\\r\\n\\t\\t\\t\\t\\t\\t} \\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\t});\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9ac123f9368c1e528f99cb9afbb32645\",\n \"score\": \"0.5510287\",\n \"text\": \"private void createFrame(){\\n\\t\\tOptionFrame frame = new OptionFrame(this);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a80426eae498d61c58c79c771d1c5b2\",\n \"score\": \"0.55101246\",\n \"text\": \"@Override\\n public void set(FootstepDataListMessage message)\\n {\\n PrintTools.warn(getClass().getSimpleName() + \\\" contains frame information. No frame resolver was provided. Assuming all data is in world frame.\\\");\\n ReferenceFrame worldFrame = ReferenceFrame.getWorldFrame();\\n\\n clear();\\n\\n defaultSwingDuration = message.defaultSwingDuration;\\n defaultTransferDuration = message.defaultTransferDuration;\\n finalTransferDuration = message.finalTransferDuration;\\n executionMode = message.executionMode;\\n executionTiming = message.executionTiming;\\n ArrayList<FootstepDataMessage> dataList = message.getDataList();\\n if (dataList != null)\\n {\\n for (int i = 0; i < dataList.size(); i++)\\n footsteps.add().set(worldFrame, dataList.get(i));\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fee86530f651ba097046c38699e427a\",\n \"score\": \"0.5503693\",\n \"text\": \"@Override\\n public void processFrame(Frame frame) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc4993f7ea48a892396264b56b31ec3d\",\n \"score\": \"0.5502313\",\n \"text\": \"private void tiler(JInternalFrame[] frames, Rectangle dBounds) {\\r\\n frames = getGraphFrames(frames);\\r\\n\\r\\n int cols = (int) Math.sqrt(frames.length);\\r\\n int rows = (int) (Math.ceil(((double) frames.length) / cols));\\r\\n int lastRow = frames.length - cols * (rows - 1);\\r\\n int width, height;\\r\\n\\r\\n if (lastRow == 0) {\\r\\n rows--;\\r\\n height = dBounds.height / rows;\\r\\n } else {\\r\\n height = dBounds.height / rows;\\r\\n if (lastRow < cols) {\\r\\n rows--;\\r\\n width = dBounds.width / lastRow;\\r\\n for (int i = 0; i < lastRow; i++) {\\r\\n frames[cols * rows + i].setBounds(i * width, rows * height,\\r\\n width, height);\\r\\n }\\r\\n }\\r\\n }\\r\\n\\r\\n width = dBounds.width / cols;\\r\\n for (int j = 0; j < rows; j++) {\\r\\n for (int i = 0; i < cols; i++) {\\r\\n frames[i + j * cols].setBounds(i * width, j * height,\\r\\n width, height);\\r\\n }\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c8ce0c26ac7104c55eb500733eea38ec\",\n \"score\": \"0.5501021\",\n \"text\": \"public int getFrame()\\t{ return frame; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"52fdffb2aa515ceba8f521fa2e86c3df\",\n \"score\": \"0.5494868\",\n \"text\": \"public Frame getFenetre(){\\r\\n\\t\\treturn this;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f497974e609663e1e1f09d8d3eddcd4d\",\n \"score\": \"0.5492109\",\n \"text\": \"public mainFrame() {\\n initComponents();\\n \\n //add all blank frame into vec\\n this.frameVec = new Vector();\\n this.frameVec.addElement(frame1);\\n this.frameVec.addElement(frame2);\\n this.frameVec.addElement(frame3);\\n this.frameVec.addElement(frame4);\\n this.frameVec.addElement(frame5);\\n this.frameVec.addElement(frame6);\\n this.frameVec.addElement(frame7);\\n this.frameVec.addElement(frame8);\\n this.frameVec.addElement(frame9);\\n this.frameVec.addElement(frame10);\\n \\n utils = new myUtils();\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e2b22d3c1767a9019f582efa465ce63b\",\n \"score\": \"0.5491593\",\n \"text\": \"public void dataFrame(File file) throws IOException {\\n\\n\\t\\tOutputStream os;\\n\\t\\tbyte[] fileInByte = Files.readAllBytes(file.toPath());\\n\\n\\t\\tint seq = (fileInByte.length / MAX_BYTE);\\n\\n\\t\\tif (fileInByte.length % MAX_BYTE != 0) {\\n\\t\\t\\tseq = seq + 1;\\n\\t\\t}\\n\\t\\tint count = 0;\\n\\t\\tint i = 0;\\n\\n\\t\\tfor (i = 0; i < seq - 1; i++) {\\n\\t\\t\\tbyte[] byte2DArray = new byte[MAX_BYTE];\\n\\t\\t\\tString[] datastream = new String[THIRD];\\n\\t\\t\\tfor (int j = 0; j < MAX_BYTE; j++) {\\n\\t\\t\\t\\tbyte2DArray[j] = fileInByte[count];\\n\\t\\t\\t\\tcount++;\\n\\t\\t\\t}\\n\\n\\t\\t\\tdatastream = enc.encode(byte2DArray);\\n\\n\\t\\t\\ttransmitter.transmit(datastream);\\n\\t\\t\\tos = new FileOutputStream(+i + file.getName());\\n\\t\\t\\tos.write(byte2DArray);\\n\\t\\t\\tos.close();\\n\\t\\t}\\n\\t\\tint lastValues = fileInByte.length - ((seq - 1) * MAX_BYTE);\\n\\n\\t\\tbyte[] byte2DArray = new byte[lastValues];\\n\\t\\tif (count != 0) {\\n\\t\\t\\tfor (int j = 0; j < lastValues; j++) {\\n\\n\\t\\t\\t\\tbyte2DArray[j] = fileInByte[count];\\n\\t\\t\\t\\tcount++;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tString[] datastream = new String[THIRD];\\n\\t\\tdatastream = enc.encode(byte2DArray);\\n\\n\\t\\ttransmitter.transmit(datastream);\\n\\n\\t\\tos = new FileOutputStream(+i + file.getName());\\n\\t\\tos.write(byte2DArray);\\n\\t\\tos.close();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b89ba381ddb3c25e6b0df8b59e9c2cb2\",\n \"score\": \"0.54848075\",\n \"text\": \"public MedicinesFrame() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd556e08aed5ea3c79535c729c8eaba1\",\n \"score\": \"0.54844\",\n \"text\": \"public TabelleFrame() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"704a44f45fe9c071a239549293a9ad00\",\n \"score\": \"0.5482052\",\n \"text\": \"public MarcasFrame() {\\n initComponents();\\n cargarMarcas();\\n cargarFiltroPaises();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10ffac2856f56e57ed6f8196f68f7e43\",\n \"score\": \"0.54774773\",\n \"text\": \"@Override\\r\\n\\tpublic void setData() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b230f95201d4813f41d4d4f5fbebf18\",\n \"score\": \"0.5476411\",\n \"text\": \"public CreateCompDataInternalFrame() {\\n initComponents();\\n hdfDirTextField.setText(\\\"D:\\\\\\\\etsii\\\\\\\\pfc\\\\\\\\datos\\\\\\\\Aqua11A1\\\");\\n terraDirTextField.setText(\\\"D:\\\\\\\\etsii\\\\\\\\pfc\\\\\\\\datos\\\\\\\\Terra11A1\\\");\\n stationsFileTextField.setText(\\\"D:\\\\\\\\etsii\\\\\\\\pfc\\\\\\\\datos\\\\\\\\estacionesagrocabildo.txt\\\");\\n yearSpinner.setValue((Integer) 2009);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c9c9953337782db5b65593b5269a1045\",\n \"score\": \"0.54513013\",\n \"text\": \"public Frame1() {\\n cont = 0;\\n nodos = new ArrayList<>();\\n arcos = new ArrayList<>();\\n setLocation(20, 10);\\n setResizable(false);\\n initComponents();\\n Cargar();\\n MatrizDeCostos();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c959bcddfc8fb46da1838670ade1a3d2\",\n \"score\": \"0.5447765\",\n \"text\": \"private void sendDataFrame() {\\r\\n /*------------------------------------------------------------------------*/\\r\\n timeDataSent = (long)0;\\r\\n isDataAcked = false;\\r\\n if( data != null ) {\\r\\n srvLnk.sendPacketToSpacecraft( dataFrame );\\r\\n isDataSent = true;\\r\\n timeDataSent = System.currentTimeMillis();\\r\\n nbDataSent++;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"18be32df13b29080f6631e24d175d6a3\",\n \"score\": \"0.54434574\",\n \"text\": \"public JFrame getFrame(){\\n\\t\\t//return frame;\\n\\t\\treturn DomainBuilder.getInstance().getFrame();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"56de463fdaf2957a5bd932b7fb62686d\",\n \"score\": \"0.5435581\",\n \"text\": \"private String getFrameDataString(List<Larva> larvae) {\\n StringBuilder sb = new StringBuilder();\\n sb.append(addColumnHeadingsWithSubheadings(larvae, new String[] {\\\"x (mm)\\\", \\\"y (mm)\\\"}));\\n\\n //add data\\n sb.append(\\\"\\\\n\\\");\\n for (int row = 0; row < frames; row++) {\\n sb.append(row + 1 + \\\",\\\");\\n for (int coord = 0; coord < larvae.size(); coord++) {\\n String x = \\\"\\\";\\n String y = \\\"\\\";\\n\\n if (row < larvae.get(coord).getPositionsSize()) {\\n //Get pixel x and y positions and convert them into mm. Convert (0,0) from top left to bottom left.\\n Double[] currentPosition = larvae.get(coord).getPosition(row);\\n if(currentPosition != null) {\\n x = String.format(\\\"%.2f\\\", (currentPosition[0] * scaleX));\\n y = String.format(\\\"%.2f\\\", ((movie.getDimensions()[1] - currentPosition[1]) * scaleY));\\n }\\n }\\n String frameData = x + \\\",\\\" + y + \\\",\\\";\\n sb.append(frameData);\\n }\\n sb.append(\\\"\\\\n\\\");\\n }\\n return sb.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b1ed4ca0fe262245589f08c5d37268f\",\n \"score\": \"0.5426296\",\n \"text\": \"@Override\\n\\tpublic void setData() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f97bece82ab6d1ab0a7938a7315b566f\",\n \"score\": \"0.5422984\",\n \"text\": \"public FrameHistoricoCompras() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d8962714189ed3836b12f2b312b3e44\",\n \"score\": \"0.5418896\",\n \"text\": \"private static void setFrame(Frame f, JSlider slider,\\r\\n JButton saveButton, JButton loadButton,\\r\\n JButton startButton,\\r\\n JButton stopButton, JButton resetButton) {\\r\\n f.setLayout(new GridLayout());\\r\\n slider.setMajorTickSpacing(SPACING);\\r\\n slider.setPaintTicks(true);\\r\\n slider.setPaintLabels(true);\\r\\n f.add(slider);\\r\\n f.add(startButton);\\r\\n f.add(stopButton);\\r\\n f.add(resetButton);\\r\\n f.add(saveButton);\\r\\n f.add(loadButton);\\r\\n\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73186bab31e9a000de13c9470012a1e1\",\n \"score\": \"0.5416077\",\n \"text\": \"@Override\\n\\tpublic int getFrame() {\\n\\t\\treturn mFrame;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbb826f702d1a884d4526951ddc51803\",\n \"score\": \"0.54130965\",\n \"text\": \"public SingleFrame(SingleFrame frame) {\\n this.raw=frame.raw;\\n this.name=frame.name;\\n rotationDegrees = frame.rotationDegrees;\\n position=new Point(frame.position);\\n showtime=frame.showtime;\\n scaleX = frame.scaleX;\\n scaleY = frame.scaleY;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e5f7841fa9edd52f3e3253bf3ef86661\",\n \"score\": \"0.5408324\",\n \"text\": \"public void setData(Datum data){\\n findViewById();\\n presenter = new ColumnChartPresenter(data);\\n presenter.setView(this);\\n\\n /*interactor = new ColumnChartInteractor();\\n interactor.setView(this);\\n interactor.setPresenter(presenter);*/\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d4ae4fc4715e03dc8efeec64bc2ac1dc\",\n \"score\": \"0.5404338\",\n \"text\": \"public StatistiquesInternalFrame() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bae94f4834c3fdbc1d1e1defe20386ba\",\n \"score\": \"0.53943557\",\n \"text\": \"public FirstFrame() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e1d40d3250b96604a2e4b342764010ca\",\n \"score\": \"0.5391491\",\n \"text\": \"public Part1Frame() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"88fdffb1332bf4d937c57a8226fae6fb\",\n \"score\": \"0.5388783\",\n \"text\": \"public Frame getFrame() {\\n return this.frame;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"55969a04fc7d254c83b04f90b18613c0\",\n \"score\": \"0.5368913\",\n \"text\": \"public CameraData() {\\n\\t\\tcurrentFrame = 0;\\n\\t\\tframes = new Frame[Camera.FRAMES_PER_CAMERA];\\n\\t\\tfor (int i = 0; i < frames.length; i++) {\\n\\t\\t\\tframes[i] = new Frame();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5e05449368ebebc8764d96f98b01e5aa\",\n \"score\": \"0.536259\",\n \"text\": \"public V_Frame(){\\n\\n initialize();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3614558e570fad2c1c0bd48f4fdee947\",\n \"score\": \"0.53509766\",\n \"text\": \"public static void setFrame(JFrame frame, SimpleDraw content) {\\r\\n Color bgColor = Color.white;\\r\\n frame.setBackground(bgColor);\\r\\n content.setBackground(bgColor);\\r\\n content.setPreferredSize(new Dimension(WIDTH, HEIGHT));\\r\\n frame.setContentPane(content);\\r\\n frame.setResizable(false);\\r\\n frame.pack();\\r\\n frame.addWindowListener(new WindowAdapter() {\\r\\n public void windowClosing(WindowEvent e) { System.exit(0); }\\r\\n public void windowDeiconified(WindowEvent e) { content.start(); }\\r\\n public void windowIconified(WindowEvent e) { content.stop(); }\\r\\n });\\r\\n\\r\\n new Thread(content).start();\\r\\n frame.setVisible(true);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"34024bed016d4b21815d6c1ef6874266\",\n \"score\": \"0.53450006\",\n \"text\": \"public HWTrackFrame() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f4db2033ca17339a7daa9a2ed2c5677a\",\n \"score\": \"0.53448427\",\n \"text\": \"public InternalFrameRastreio() {\\n initComponents();\\n setVisible(true);\\n inicializa();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93cdb9493b89700ecbbecaf8f03e6bf9\",\n \"score\": \"0.53358686\",\n \"text\": \"public Frame getFrame() {\\r\\n\\t\\treturn frame;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87f484bb8f9e9e74727a891ca5aa5476\",\n \"score\": \"0.53245854\",\n \"text\": \"public DemoFrame() {\\r\\n initComponents();\\r\\n customizeTable();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28738ccc8e9468c5ff58cf4b07c0b32b\",\n \"score\": \"0.5323949\",\n \"text\": \"@Override\\r\\n\\tpublic void setData() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed6f34673ee63ff210bc1e3b07f2b09f\",\n \"score\": \"0.5323281\",\n \"text\": \"private void initialize() {\\n\\t\\tframeTabelaZgrade = new JFrame();\\n\\t\\tframeTabelaZgrade.setBounds(100, 100, 450, 350);\\n\\t\\t/**\\n\\t\\t * umjesto JFrame.EXIT_ON_CLOSE, koristit cemo JFrame.DISPOSE_ON_CLOSE. Exit on close zatvara cijelu aplikaciju\\n\\t\\t * dok Dispose samo aktivni prozor\\n\\t\\t */\\n\\t\\tframeTabelaZgrade.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);\\n\\t\\tframeTabelaZgrade.getContentPane().setLayout(null);\\n\\t\\t\\n\\t\\tscrollPane = new JScrollPane();\\n\\t\\tscrollPane.setBounds(12, 12, 424, 262);\\n\\t\\tframeTabelaZgrade.getContentPane().add(scrollPane);\\n\\t\\t\\n\\t\\ttableZgrade = new JTable();\\n\\t\\tscrollPane.setViewportView(tableZgrade);\\n\\t\\ttableZgrade.setModel(new DefaultTableModel(\\n\\t\\t\\tnew Object[][] {\\n\\t\\t\\t},\\n\\t\\t\\tnew String[] {\\n\\t\\t\\t\\t\\\"\\\\u0160ifra\\\", \\\"Naziv zgrade\\\", \\\"Skra\\\\u0107enica\\\"\\n\\t\\t\\t}\\n\\t\\t));\\n\\t\\ttableZgrade.getColumnModel().getColumn(1).setPreferredWidth(274);\\n\\t\\ttableZgrade.getColumnModel().getColumn(2).setPreferredWidth(123);\\n\\t\\t\\n\\t\\t/**\\n\\t\\t * Funkcija implementira popunjavanje date tabele zgradama\\n\\t\\t */\\n\\t\\ttry {\\n\\t\\t\\tpopuniTabeluZgradama();\\n\\t\\t} catch (SQLException e) {\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\t\\n\\t\\tbtnIzbrisiZgrade = new JButton(\\\"Izbriši zgrade\\\");\\n\\t\\tbtnIzbrisiZgrade.setBounds(12, 286, 150, 25);\\n\\t\\tframeTabelaZgrade.getContentPane().add(btnIzbrisiZgrade);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a57d7050fb701228a5ec6b1446f2a96\",\n \"score\": \"0.5320154\",\n \"text\": \"public FrameDataManagement() {\\n initComponents();\\n setIconImage();\\n dbRepository = new DbRepository();\\n dbOperations = new DbOperations();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6bd7d11900b4c17dded7c2d4cc8bba28\",\n \"score\": \"0.5311335\",\n \"text\": \"public Container getFrame(){return panel;}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f47475e678f203ab41b59012457fc0ce\",\n \"score\": \"0.53083885\",\n \"text\": \"public EscritorioFrame(Parqueo parqueo) {\\n\\t\\tthis.manejadorParqueo = new ManejadorParqueo(parqueo);\\n\\t\\tthis.manejadorClientes = new ManejadorClientes(parqueo);\\n\\t\\tthis.manejadorEmpleados = new ManejadorEmpleados(parqueo);\\n\\t\\tthis.reporteador = new Reporteador(parqueo);\\n\\t\\t//cargamos los listados desde archivos\\n\\t\\tmanejadorClientes.cargarListadoClientes();\\n\\t\\tmanejadorParqueo.cargarListadoRegistros();\\n\\t\\t//frames\\n\\t\\tlistadoClientesFrame = new ListadoClientesInternalFrame(manejadorClientes);\\n\\t\\tlistadoRegistrosFrame = new ListadoRegistrosInternalFrame(manejadorParqueo);\\n\\t\\t//dialogos\\n\\t\\tregistroIngresoDialog = new RegistroIngresoDialog(this, manejadorParqueo, manejadorClientes);\\n\\t\\tregistroSalidaDialog = new RegistroSalidaDialog(this, manejadorParqueo);\\n\\t\\t//reportes\\n\\t\\treporte2Frame = new Reporte2InternalFrame(reporteador);\\n\\t\\tinitComponents();\\n\\t\\tthis.setExtendedState(javax.swing.JFrame.MAXIMIZED_BOTH);\\n\\t\\tthis.escritorioPanel.add(listadoClientesFrame);\\n\\t\\tthis.escritorioPanel.add(listadoRegistrosFrame);\\n\\t\\tthis.escritorioPanel.add(reporte2Frame);\\n\\t\\tcambiarValorMedidor(Parqueo.VEHICULO_MOTO);\\n\\t\\tcambiarValorMedidor(Parqueo.VEHICULO_CARRO);\\n\\t\\tcambiarValorMedidor(Parqueo.VEHICULO_CAMION);\\n\\t\\tsetIcon();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b3487a653591d0f8fa014610eb0c278\",\n \"score\": \"0.53029\",\n \"text\": \"public SwingViewFactory(JFrame frame) {\\n\\t\\tthis.frame = frame;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79b2be291fbdc3e408346d28552da21e\",\n \"score\": \"0.53012496\",\n \"text\": \"public OldFrame() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14f8dab2a170e2bc367f262de6c55263\",\n \"score\": \"0.5301119\",\n \"text\": \"public LineDrawingFrame(Form data) {\\n this.data = data;\\n initComponents();\\n drawAllLines();\\n show(); \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"96012e7a7f0f637ecb05d67235604ff3\",\n \"score\": \"0.52929896\",\n \"text\": \"@Override\\n public void onPreviewFrame(byte[] data, Camera camera) {\\n setCurrentFrame(data);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d24ce81933d90e957ec2a623de8d714b\",\n \"score\": \"0.5291216\",\n \"text\": \"public DF_IFVisionGlobale() {\\n\\n // Configuration des bases \\n super(\\\"Digital Factory - VISION GLOBALE\\\" + (++openFrameCount),\\n true, //resizable\\n true, //closable\\n true, //maximizable\\n true);//iconifiable\\n initComponents();\\n\\n //setBounds(100, 100, 450, 300);\\n //getContentPane().setLayout(null);\\n setLocation(X_OFFSET * openFrameCount, Y_OFFSET * openFrameCount);\\n\\n\\n /**\\n * ***********************************************************************************\\n * CONFIGURATION DE LA INTERNAL FRAME\\n ************************************************************************************\\n */\\n JLabel lblNewLabel = new JLabel(\\\"Frame Voiture\\\");\\n lblNewLabel.setBounds(178, 109, 108, 14);\\n getContentPane().add(lblNewLabel);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ada26c426d486d0525be0dd5c4e61691\",\n \"score\": \"0.52906024\",\n \"text\": \"public SongDetailFrame() {\\n\\t\\tbuildMainPanel();\\n\\t\\tbuildMainFrame();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6aa04b7755ee04d84e41ad3f6f0520e\",\n \"score\": \"0.5289728\",\n \"text\": \"public MainFrame getFrame() {\\r\\n return frame;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"97a17756b145bc3edd4f4d965afcc6e7\",\n \"score\": \"0.5286203\",\n \"text\": \"protected abstract void setData();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6793f7a7a04289d4cae37dc01b2c503b\",\n \"score\": \"0.5283501\",\n \"text\": \"public FrameDesc(){\\n\\n\\t\\tdirtyBit = false;\\n\\t\\tvalidData = false;\\n\\t\\tdiskPageNum = INVALID_PAGEID;\\n\\t\\tpinCount = 0;\\n\\t\\trefBit = false;\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"40334dd6c49bcfe4f388c914b7ed9e0f\",\n \"score\": \"0.52797407\",\n \"text\": \"public JIFrameUsuariosRede(int idUserLogando) {\\n this.isMaximum=true;\\n this.idUserLogando=idUserLogando;\\n initComponents();\\n ((BasicInternalFrameUI)this.getUI()).setNorthPane(null); //retirar o painel superior \\n this.setBorder(null);//retirar bordas \\n this.jButtonSolicitacao.setText(\\\"[\\\"+Integer.toString(Dados.getSolicitacaoAmizade(idUserLogando).size())+\\\"]\\\");\\n if(Dados.getSolicitacaoAmizade(idUserLogando).size()>0){\\n jButtonSolicitacao.setCursor(new java.awt.Cursor(java.awt.Cursor.HAND_CURSOR));\\n jButtonSolicitacao.setOpaque(true);\\n Color padrao=new Color(153,0,0);\\n jButtonSolicitacao.setBackground(padrao);\\n }else{\\n jButtonSolicitacao.setOpaque(false);\\n jButtonSolicitacao.setCursor(new java.awt.Cursor(java.awt.Cursor.HAND_CURSOR));\\n }\\n this.jButtonMensagem.setText(\\\"[\\\"+Integer.toString(Dados.getMensagensBD().size())+\\\"]\\\");\\n this.lstMinhasAtividades=new ArrayList();\\n \\n for (Atividade atividade : Dados.getAtividadesBD()) {//percorre lista de atividades\\n if(atividade.getIdUsuario()==idUserLogando){//verifica se a atividade possui o id do usuário logado\\n lstMinhasAtividades.add(atividade);//adiciona a atividade na lista de atividades especificas do usuario\\n }\\n }\\n JIFramePerfil jIFramePefil = new JIFramePerfil(idUserLogando);\\n jIFramePefil.idUserLogando=Principal.getIdUserLogando();\\n jDesktopPane.add(jIFramePefil);\\n jIFramePefil.setVisible(true);\\n try {jIFramePefil.setMaximum(true);} \\n catch (PropertyVetoException ex) { }\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12c400c8cbbe7397a17792be5d4b8f57\",\n \"score\": \"0.5253175\",\n \"text\": \"protected byte[] createFrame (byte[] data) {\\n\\tQueue<Byte> intermediate = new LinkedList<Byte>();\\n\\tintermediate.add(dataTag);\\n\\tintermediate.add(FrameNumber);\\n\\tfor(int i =0; i < data.length; i +=1){\\n\\t byte current = data[i];\\n\\t intermediate.add(current);\\n\\t}\\n\\tbyte parity = calculateParity(intermediate);\\n\\n\\n\\n\\n\\tQueue<Byte> framingData = new LinkedList<Byte>();\\n\\t \\n\\tframingData.add(startTag);\\t\\n\\n\\tframingData.add(parity);\\n\\n\\tframingData.add(dataTag);\\n\\n\\tframingData.add(FrameNumber);\\n\\n\\t// Add each byte of original data.\\n\\tfor (int i = 0; i < data.length; i += 1) {\\n\\n\\t // If the current data byte is itself a metadata tag, then precede\\n\\t // it with an escape tag.\\n\\t byte currentByte = data[i];\\n\\t if ((currentByte == startTag) ||\\n\\t\\t(currentByte == stopTag) ||\\n\\t\\t(currentByte == escapeTag)) {\\n\\n\\t\\tframingData.add(escapeTag);\\n\\n\\t }\\n\\n\\t // Add the data byte itself.\\n\\t framingData.add(currentByte);\\n\\n\\t}\\n\\n\\t// End with a stop tag.\\n\\tframingData.add(stopTag);\\n\\n\\t// Convert to the desired byte array.\\n\\tbyte[] framedData = new byte[framingData.size()];\\n\\tIterator<Byte> i = framingData.iterator();\\n\\tint j = 0;\\n\\twhile (i.hasNext()) {\\n\\t framedData[j++] = i.next();\\n\\t}\\n\\n\\treturn framedData;\\n\\t\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14cb89cdd77850e86e13e8350ad974b4\",\n \"score\": \"0.5252138\",\n \"text\": \"public int getFrame(){\\n return currentFrame;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8d20b81f2afa9a6405a83c30b9d0848d\",\n \"score\": \"0.5240681\",\n \"text\": \"public FrameInfo() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e8092bd86e1094085cef236d2c92d34\",\n \"score\": \"0.5237967\",\n \"text\": \"public void doOneFrame(DrawSurface d, double dt) {\\r\\n //Filind the window color.\\r\\n d.setColor(Color.lightGray);\\r\\n d.fillRectangle(0, 0 , GUIWIDTH, GUIHEIGHT);\\r\\n //Drawing the headline.\\r\\n d.setColor(Color.yellow);\\r\\n d.drawText(d.getWidth() / 16, d.getHeight() / 16, \\\"High scores\\\", 32);\\r\\n //Drawing the other headlines.\\r\\n int playerNameWidth = d.getWidth() / 10;\\r\\n int playerScoreWidth = d.getWidth() / 2 + 10;\\r\\n int firstLineHeight = d.getHeight() / 7;\\r\\n //The player name headline.\\r\\n d.setColor(Color.orange);\\r\\n d.drawText(playerNameWidth, firstLineHeight, \\\"Player Name\\\", 25);\\r\\n //The score headline.\\r\\n d.setColor(Color.orange);\\r\\n d.drawText(playerScoreWidth, firstLineHeight, \\\"Score\\\", 25);\\r\\n //Drawing a line under the headline.\\r\\n d.setColor(Color.white);\\r\\n d.drawLine(playerNameWidth, firstLineHeight + 3, d.getWidth() / 2 + 100, firstLineHeight);\\r\\n //Drawing the players info.\\r\\n List<ScoreInfo> scores = this.scoresTable.getHighScores();\\r\\n for (int i = 1; i <= scores.size(); i++) {\\r\\n //Drawing the players names.\\r\\n d.setColor(Color.orange);\\r\\n d.drawText(playerNameWidth, firstLineHeight + i * 30, scores.get(i - 1).getName(), 25);\\r\\n //Drawing the players scores.\\r\\n d.setColor(Color.orange);\\r\\n d.drawText(playerScoreWidth, firstLineHeight + i * 30, scores.get(i - 1).getScore() + \\\"\\\", 25);\\r\\n }\\r\\n //The text to press space to continue.\\r\\n d.setColor(Color.WHITE);\\r\\n d.drawText(d.getWidth() / 6, d.getHeight() - 60, \\\"Press space to continue\\\", 32);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8c4c55182cdba93e22b07763ca87c209\",\n \"score\": \"0.523782\",\n \"text\": \"public frmReporteDirector(java.awt.Frame parent, boolean modal) {\\n super(parent, modal);\\n initComponents(); \\n this.getContentPane().setLayout (new GridBagLayout());\\n //creamos el diagrama circular de Soliciatados vs Bolsa Verde\\n fecha= new Date();\\n SimpleDateFormat formatoDelTexto = new SimpleDateFormat(\\\"yyyy-MM-dd\\\");\\n String strFecha = \\\"2013-01-01\\\"; //se debe poner el año en curso\\n \\n try {\\n FIni=formatoDelTexto.parse(strFecha);\\n } catch (ParseException ex) {\\n Logger.getLogger(frmReporteDirector.class.getName()).log(Level.SEVERE, null, ex);\\n }\\n graficaComparaciones();\\n graficaEstadisticas();\\n graficaEstadisticasDia();\\n graficaEstadisticasQuincena();\\n pack();\\n \\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9114e445bd23b551eeb4fc42ee1c0103\",\n \"score\": \"0.52364063\",\n \"text\": \"public ArabaAlmaFrame() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fcc71b1407c6459e0066bf68be553899\",\n \"score\": \"0.5233415\",\n \"text\": \"private void setData() {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aacdea321c13190961c2dfd985b475ce\",\n \"score\": \"0.52279866\",\n \"text\": \"private void initialize() {\\r\\n\\t\\tframe = new JFrame();\\r\\n\\t\\tframe.setBounds(100, 100, 901, 780);\\r\\n\\t\\tframe.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);\\r\\n\\t\\tSpringLayout springLayout = new SpringLayout();\\r\\n\\t\\tframe.getContentPane().setLayout(springLayout);\\r\\n\\r\\n\\t\\tJPanel panel = new JPanel();\\r\\n\\t\\tpanel.setBackground(Color.WHITE);\\r\\n\\t\\tspringLayout.putConstraint(SpringLayout.NORTH, panel, 10, SpringLayout.NORTH, frame.getContentPane());\\r\\n\\t\\tspringLayout.putConstraint(SpringLayout.WEST, panel, 10, SpringLayout.WEST, frame.getContentPane());\\r\\n\\t\\tspringLayout.putConstraint(SpringLayout.SOUTH, panel, 731, SpringLayout.NORTH, frame.getContentPane());\\r\\n\\t\\tspringLayout.putConstraint(SpringLayout.EAST, panel, 875, SpringLayout.WEST, frame.getContentPane());\\r\\n\\t\\tframe.getContentPane().add(panel);\\r\\n\\r\\n\\t\\tReadCSV readCSV = new ReadCSV();\\r\\n\\t\\tArrayList<EnergyVO> list = readCSV.getList();\\r\\n\\r\\n\\t\\t// 그래프의 값과 정보를 기억하고 있는 객체를 생성\\r\\n\\t\\t// 바차트\\r\\n\\t\\tDefaultCategoryDataset dataset1 = new DefaultCategoryDataset();\\r\\n\\r\\n\\t\\t// 파이차트\\r\\n\\t\\t// key와 value만 있으면 됨\\r\\n\\t\\tDefaultPieDataset dataset2 = new DefaultPieDataset();\\r\\n\\r\\n\\t\\t// 1.크기 2.범례 3.x축\\r\\n\\r\\n\\t\\tfor (int i = 0; i < list.size(); i++) {\\r\\n\\t\\t\\tdataset1.addValue(list.get(i).getUsage(), list.get(i).getMonth(), list.get(i).getDivision());\\r\\n\\t\\t\\tdataset2.setValue(list.get(i).getDivision(), list.get(i).getUsage());\\r\\n\\r\\n\\t\\t}\\r\\n\\r\\n//\\t\\tdataset1.addValue(20, \\\"test\\\", \\\"사과\\\");\\r\\n//\\t\\tdataset1.addValue(40, \\\"test\\\", \\\"바나나\\\");\\r\\n//\\t\\tdataset1.addValue(50, \\\"test\\\", \\\"오렌지\\\");\\r\\n//\\t\\tdataset1.addValue(20, \\\"test\\\", \\\"복숭아\\\");\\r\\n//\\t\\tdataset1.addValue(50, \\\"result\\\", \\\"파인애플\\\");\\r\\n//\\t\\tdataset1.addValue(20, \\\"result\\\", \\\"a\\\");\\r\\n//\\t\\tdataset1.addValue(20, \\\"result\\\", \\\"b\\\");\\r\\n//\\t\\tdataset1.addValue(50, \\\"result\\\", \\\"c\\\");\\r\\n//\\t\\tdataset1.addValue(30, \\\"result\\\", \\\"d\\\");\\r\\n\\r\\n\\t\\t// 그래프를 그리는 객체 생성\\r\\n\\t\\t// 1.제목 2.x축 설명 3.y축 설명 4.그래프데이터 5.그래프종류(상하 또는 좌우) 6.범례사용여부 (t/f) 7.툴팁 사용여부(t/f)\\r\\n\\t\\t// 8.확대기능사용여부(t/f)\\r\\n\\r\\n\\t\\tJFreeChart barChart = ChartFactory.createBarChart(\\\"기간별사용량\\\", \\\"구분\\\", \\\"사용량\\\", dataset1, PlotOrientation.HORIZONTAL,\\r\\n\\t\\t\\t\\ttrue, true, true);\\r\\n\\r\\n\\t\\tJFreeChart pieChart = ChartFactory.createPieChart(\\\"기간별사용량\\\", dataset2, false, true, true);\\r\\n\\r\\n\\t\\t// createBarChart 에서 createAreaChart로 바꾸는 법\\r\\n//\\t\\tJFreeChart barChart = ChartFactory.createAreaChart(\\\"과일판매량\\\", \\\"종류\\\", \\\"판매수\\\", dataset1, PlotOrientation.HORIZONTAL,\\r\\n//\\t\\t\\t\\ttrue, true, true);\\r\\n\\r\\n\\t\\t// 한글 인코딩, 한글 글씨체를 저장할 객체 생성\\r\\n\\t\\t// 1.폰트종류 2.폰트스타일 3.크기\\r\\n\\t\\tFont f = new Font(\\\"Gulim\\\", Font.BOLD, 14);\\r\\n\\r\\n\\t\\t// 그래프 제목에 한글 적용\\r\\n\\t\\tbarChart.getTitle().setFont(f);\\r\\n\\t\\tpieChart.getTitle().setFont(f);\\r\\n\\r\\n\\t\\t// x축 y축 한글적용\\r\\n\\t\\tCategoryPlot plot1 = barChart.getCategoryPlot();\\r\\n\\t\\t// x축 한글\\r\\n\\t\\tplot1.getDomainAxis().setLabelFont(f);\\r\\n\\t\\tplot1.getDomainAxis().setTickLabelFont(f);\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\r\\n\\t\\t// y축 한글\\r\\n\\t\\tplot1.getRangeAxis().setLabelFont(f);\\r\\n\\t\\tplot1.getRangeAxis().setTickLabelFont(f);\\r\\n\\t\\t\\r\\n\\t\\tPiePlot plot2 = (PiePlot)pieChart.getPlot();\\r\\n\\t\\tplot2.setLabelFont(f);\\r\\n\\t\\t\\r\\n\\r\\n\\t\\t// 그려진 그래프를 차트 패널에 올리기\\r\\n\\t\\tChartPanel chartPanel = new ChartPanel(barChart);\\r\\n\\t\\tChartPanel chartPanel_1 = new ChartPanel(pieChart);\\r\\n\\r\\n\\t\\t// 그래프 크기 조절\\r\\n\\t\\t// 너비, 높이\\r\\n//\\t\\tchartPanel.setPreferredSize(new java.awt.Dimension(300, 500));\\r\\n//\\t\\tpanel.add(chartPanel);\\r\\n\\t\\tpanel.add(chartPanel_1);\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"27cfba695745fc007554c626a4a9d631\",\n \"score\": \"0.5225924\",\n \"text\": \"private void initialize(String f, int n, int m) {\\n\\t\\tframe = new JFrame();\\n\\t\\tframe.setIconImage(Toolkit.getDefaultToolkit().getImage(\\\"image/icon_Party.png\\\"));\\n\\t\\tframe.setResizable(false); // 창크기 조절 \\n\\t\\tframe.setBounds(100, 100, 621, 443);\\n\\t\\tframe.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);\\n\\t\\tframe.getContentPane().setLayout(null);\\n\\t\\t\\n\\t\\tJLabel lblNewLabel = new JLabel(\\\"\\\\uC9C4\\\\uD589\\\\uC608\\\\uC815 \\\\uCD95\\\\uC81C\\\\uBAA9\\\\uB85D\\\");\\n\\t\\tlblNewLabel.setHorizontalAlignment(SwingConstants.CENTER);\\n\\t\\tlblNewLabel.setFont(new Font(\\\"굴림\\\", Font.BOLD, 25));\\n\\t\\tlblNewLabel.setBounds(182, 21, 235, 27);\\n\\t\\tframe.getContentPane().add(lblNewLabel);\\n\\t\\t\\n\\t\\tJScrollPane scrollPane = new JScrollPane();\\n\\t\\tscrollPane.setBounds(47, 72, 497, 296);\\n\\t\\tframe.getContentPane().add(scrollPane);\\n\\t\\tscrollPane.setOpaque(false); // pane 투명하게 \\n\\t\\tscrollPane.getViewport().setOpaque(false);\\n\\t\\t\\n\\t\\tString[] colName = {\\\"번호\\\",\\\"축제명\\\",\\\"시작예정날짜\\\",\\\"종료예정날짜\\\",\\\"예정장소\\\",\\\"테마정보\\\",\\\"정원\\\",\\\"현재인원\\\",\\\"총후원금액\\\"};\\n\\t\\tListDAO dao = new ListDAO();\\n\\t\\tArrayList<ListDTO> FestivalList_1 = dao.Festivalinfo();\\n\\t\\t//System.out.println(dao.Festivalinfo().get(1).getNum());\\n\\t\\tObject[][] data = new Object[FestivalList_1.size()][9];\\n\\t\\t//if(dao.Festivalinfo().get(6)>=dao.Festivalinfo().get(7)) {}\\n\\t\\t\\n\\t\\tint num2=1;\\n\\t\\tfor(int i=0;i<data.length;i++) {\\n\\t\\t\\tdata[i][0]=num2;\\n\\t\\t\\tdata[i][1]=FestivalList_1.get(i).getName();\\n\\t\\t\\tdata[i][2]=FestivalList_1.get(i).getDay_start();\\n\\t\\t\\tdata[i][3]=FestivalList_1.get(i).getDay_last();\\n\\t\\t\\tdata[i][4]=FestivalList_1.get(i).getLoc();\\n\\t\\t\\tdata[i][5]=FestivalList_1.get(i).getTheme();\\n\\t\\t\\tdata[i][6]=FestivalList_1.get(i).getNum();\\n\\t\\t\\tdata[i][7]=FestivalList_1.get(i).getN_num();\\n\\t\\t\\tdata[i][8]=FestivalList_1.get(i).getMoney();\\n\\t\\t\\tnum2++;\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t\\ttable = new JTable(data,colName);\\n\\t\\ttable.getColumn(\\\"총후원금액\\\").setWidth(0);\\n\\t\\ttable.getColumn(\\\"총후원금액\\\").setMinWidth(0);\\n\\t\\ttable.getColumn(\\\"총후원금액\\\").setMaxWidth(0);\\n\\n\\t\\t\\n\\t\\ttable.addMouseListener(new MouseAdapter() {\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void mouseClicked(MouseEvent e) {\\n\\t\\t\\t\\tint index = table.getSelectedRow();\\n\\t\\t\\t\\tTableModel model = table.getModel();\\n\\t\\t\\t\\tString f = (String) model.getValueAt(index, 1);\\n\\t\\t\\t\\tint n = (int) model.getValueAt(index, 7);\\n\\t\\t\\t\\tint m = (int) model.getValueAt(index, 8);\\n\\t\\t\\t\\t//System.out.println(n+\\\"List gui의 n\\\");\\n\\t\\t\\t\\tMore_GUI more = new More_GUI(f,n,m);\\n\\t\\t\\t\\tframe.dispose();\\n\\n\\t\\t\\t}\\n\\t\\t});\\n\\t\\tscrollPane.setViewportView(table);\\n\\t\\t\\n\\t\\t// 뒤로가기 버튼\\n\\t\\t\\t\\tJButton btn_back = new JButton(\\\"\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\timgPath = \\\"image/icon_left.png\\\";\\n\\n\\t\\t\\t\\t\\n\\t\\t\\n\\t\\tfor(int i=0;i<data.length;i++) {\\n\\t\\t\\tif(FestivalList_1.get(i).getN_num()>=FestivalList_1.get(i).getNum()) {\\n\\t\\t\\t//delete 시키고 \\n\\t\\t\\t\\tfestivalDAO festdao = new festivalDAO();\\n\\t\\t\\t\\tjava.sql.Date stDate = convert(FestivalList_1.get(i).getDay_start());\\n\\t\\t\\t\\tjava.sql.Date laDate = convert(FestivalList_1.get(i).getDay_last());\\n\\t\\t\\t\\t//열고\\n\\t\\t\\t\\tfestdao.PlusFest(FestivalList_1.get(i).getName(),stDate, laDate, FestivalList_1.get(i).getLoc(),FestivalList_1.get(i).getTheme(),FestivalList_1.get(i).getN_num());\\n\\t\\t\\t\\t//db닫고\\n\\t\\t\\t\\tdao.delFest(FestivalList_1.get(i).getName()); //수정필요\\n\\t\\t\\t\\tSystem.out.println(FestivalList_1.get(i).getName());\\n\\t\\t\\t\\t//insert 시키고\\n\\t\\t}\\n\\t\\t} \\n\\t\\n\\t\\toriginIcon = new ImageIcon(imgPath); // 이미지 크기 맞추기\\n\\t\\toriginImg = originIcon.getImage();\\n\\t\\tchangedImg = originImg.getScaledInstance(38, 38, Image.SCALE_SMOOTH);\\n\\t\\tficon = new ImageIcon(changedImg);\\n\\t\\tbtn_back.setIcon(ficon);\\n\\t\\t\\n\\t\\tbtn_back.addActionListener(new ActionListener() {\\n\\t\\t\\tpublic void actionPerformed(ActionEvent e) {\\n\\t\\t\\t\\tframe.dispose();\\n\\t\\t\\t\\tmainGUI maingui = new mainGUI(); //메인 화면으로 돌아가기\\n\\t\\t\\t}\\n\\t\\t});\\n\\t\\tbtn_back.setContentAreaFilled(false); // 버튼 투명하게 하기\\n\\t\\tbtn_back.setBorderPainted(false); // 버튼 라인 없애기\\n\\t\\tbtn_back.setBounds(36, 28, 38, 38);\\n\\t\\tframe.getContentPane().add(btn_back);\\n\\t\\t\\n\\t\\tJLabel lblNewLabel_1 = new JLabel(\\\"\\\");\\n\\t\\timgPath = \\\"image/info_Background.jpg\\\";\\n\\n\\t\\toriginIcon = new ImageIcon(imgPath); // 이미지 크기 맞추기\\n\\t\\toriginImg = originIcon.getImage();\\n\\t\\tchangedImg = originImg.getScaledInstance(615, 411, Image.SCALE_SMOOTH);\\n\\t\\tficon = new ImageIcon(changedImg);\\n\\t\\tlblNewLabel_1.setIcon(ficon);\\n\\t\\tlblNewLabel_1.setBounds(0, 3, 615, 411);\\n\\t\\tframe.getContentPane().add(lblNewLabel_1);\\n\\t\\t\\n\\t\\t\\n\\t\\t\\n\\t\\t\\n\\n\\t\\n\\t\\n\\t\\n\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5b97bc911ced162983747ea9633999d9\",\n \"score\": \"0.5225465\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tdf=new DemoFrame2();\\r\\n\\t\\tdf.addMouseListener(new MouseListener() {\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t@Override\\r\\n\\t\\t\\tpublic void mouseReleased(MouseEvent e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated method stub\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t@Override\\r\\n\\t\\t\\tpublic void mousePressed(MouseEvent e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated method stub\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t@Override\\r\\n\\t\\t\\tpublic void mouseExited(MouseEvent e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated method stub\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t@Override\\r\\n\\t\\t\\tpublic void mouseEntered(MouseEvent e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated method stub\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t@Override\\r\\n\\t\\t\\tpublic void mouseClicked(MouseEvent e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated method stub\\r\\n\\t\\t\\t\\t//计算虚拟棋盘（二维数组）落子坐标(i,j)\\r\\n\\t\\t\\t\\tint x,y,i,j;\\r\\n\\t\\t\\t\\tx=e.getPoint().x-19;\\r\\n\\t\\t\\t\\ty=e.getPoint().y-40;\\r\\n\\t\\t\\t\\tif(x%30>15){\\r\\n\\t\\t\\t\\t\\tj=x/30+1;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse{\\r\\n\\t\\t\\t\\t\\tj=x/30;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tif(y%30>15){\\r\\n\\t\\t\\t\\t\\ti=y/30+1;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse{\\r\\n\\t\\t\\t\\t\\ti=y/30;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tif(df.vqpan[i][j]==0){\\r\\n\\t\\t\\t\\t\\tif(df.isPeple) {\\r\\n\\t\\t\\t\\t\\t\\tdf.isPeple=false;\\r\\n\\t\\t\\t\\t\\t\\tdf.vqpan[i][j]=1;\\r\\n\\t\\t\\t\\t\\tdf.vqpan[i][j]=1;//虚拟棋盘落白子\\r\\n\\t\\t\\t\\t\\tfor(int q=0;q<15;q++) {\\r\\n\\t\\t\\t\\t\\t\\tfor(int w=0;w<15;w++) {\\r\\n\\t\\t\\t\\t\\t\\t\\tif(df.vqpan[q][w]==1&&df.vqpan[q][w+1]==1&&df.vqpan[q][w+2]==1&&df.vqpan[q][w+3]==1&&df.vqpan[q][w+4]==1||\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdf.vqpan[q][w]==1&&df.vqpan[q+1][w]==1&&df.vqpan[q+2][w]==1&&df.vqpan[q+3][w]==1&&df.vqpan[q+4][w]==1||\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdf.vqpan[q][w]==1&&df.vqpan[q+1][w+1]==1&&df.vqpan[q+2][w+2]==1&&df.vqpan[q+3][w+3]==1&&df.vqpan[q+4][w+4]==1||\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdf.vqpan[q][w]==1&&df.vqpan[q+1][w-1]==1&&df.vqpan[q+2][w-2]==1&&df.vqpan[q+3][w-3]==1&&df.vqpan[q+4][w-4]==1\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t) {\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"白棋获胜\\\", \\\"对战结果:\\\", JOptionPane.INFORMATION_MESSAGE);\\r\\n\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t/////添加判断输赢代码\\t\\t\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\telse {\\r\\n\\t\\t\\t\\t\\tdf.isPeple=true;\\r\\n\\t\\t\\t\\t\\tdf.vqpan[i][j]=2;//计算机虚拟棋盘落黑子\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tfor(int q=0;q<15;q++) {\\r\\n\\t\\t\\t\\t\\t\\tfor(int w=0;w<15;w++) {\\r\\n\\t\\t\\t\\t\\t\\t\\tif(df.vqpan[q][w]==2&&df.vqpan[q][w+1]==2&&df.vqpan[q][w+2]==2&&df.vqpan[q][w+3]==2&&df.vqpan[q][w+4]==2||\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdf.vqpan[q][w]==2&&df.vqpan[q+1][w]==2&&df.vqpan[q+2][w]==2&&df.vqpan[q+3][w]==2&&df.vqpan[q+4][w]==2||\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdf.vqpan[q][w]==2&&df.vqpan[q+1][w+1]==2&&df.vqpan[q+2][w+2]==2&&df.vqpan[q+3][w+3]==2&&df.vqpan[q+4][w+4]==2||\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdf.vqpan[q][w]==2&&df.vqpan[q+1][w-1]==2&&df.vqpan[q+2][w-2]==2&&df.vqpan[q+3][w-3]==2&&df.vqpan[q+4][w-4]==2\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t) {\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"电脑获胜\\\", \\\"对战结果:\\\", JOptionPane.ERROR_MESSAGE);\\r\\n\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t/////添加判断输赢代码\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\tdf.repaint();//刷新，重新绘画\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t});\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6fb44bf3a4b611ddb951937032c40ac7\",\n \"score\": \"0.5221055\",\n \"text\": \"public JFrame getTheFrame() {\\n return theFrame;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f8e5d2d091e65f3d618960211cbb3bbb\",\n \"score\": \"0.5212266\",\n \"text\": \"public BspDate(Frame parent) {\\n super(parent, true);\\n this.dateField = null;\\n initComponents();\\n initDialog();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65602126d3f592a034268f8f4c651876\",\n \"score\": \"0.5207202\",\n \"text\": \"public JFrame getFrame() {\\r\\n\\t\\treturn frame;\\r\\n\\t\\t//That's a guess -jack\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb8a96f92510719431cec630e73cac70\",\n \"score\": \"0.5206045\",\n \"text\": \"public Frame getFrame() {\\n throw new UnsupportedOperationException(\\n \\\"AWT Frame components are not created by the Viewer class\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cf6f8f4a958d648e79a11cb2c68dc4c1\",\n \"score\": \"0.5205286\",\n \"text\": \"public Frame1() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cf6f8f4a958d648e79a11cb2c68dc4c1\",\n \"score\": \"0.5205286\",\n \"text\": \"public Frame1() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cf6f8f4a958d648e79a11cb2c68dc4c1\",\n \"score\": \"0.5205286\",\n \"text\": \"public Frame1() {\\n initComponents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b584c182cfa708a30744e7dedc3e4991\",\n \"score\": \"0.5204845\",\n \"text\": \"public intDATOS() {\\n \\n heig=getToolkit().getScreenSize().height ;\\n width=getToolkit().getScreenSize().width ;\\n \\n area[0] = width-38;\\n area[1] = heig-200;\\n initComponents();\\n dim=super.getToolkit().getScreenSize();\\n super.setSize(dim);\\n \\n //crear escenario default\\n Escenario escenario = new Escenario(area);\\n escenario.setFuentes(new ArrayList<Fuente>());\\n Simulacion simulacion = new Simulacion(343, 20, escenario,100);\\n Aswos.getAswos(simulacion).setSimulacion(simulacion);\\n \\n EscenarioControlador.matrixCoordenadas(area);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b26b3e78e6bced581620e8226889f08b\",\n \"score\": \"0.51988745\",\n \"text\": \"public AlcodonFrame()\\n {\\n super();\\n this._alcodonList = new java.util.Vector();\\n this._alcodMapList = new java.util.Vector();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a314a8acaa73add93b9c5748bbdf20f4\",\n \"score\": \"0.5198008\",\n \"text\": \"public void frame_add(JList framelist, JTextField frame_add_textfield) {\\n FrameItemHolder fih = new FrameItemHolder();\\r\\n\\r\\n fih.rthumb = servoitemholder[0][0].sli.getValue();\\r\\n fih.rindex = servoitemholder[0][1].sli.getValue();\\r\\n fih.rmajeure = servoitemholder[0][2].sli.getValue();\\r\\n fih.rringfinger = servoitemholder[0][3].sli.getValue();\\r\\n fih.rpinky = servoitemholder[0][4].sli.getValue();\\r\\n fih.rwrist = servoitemholder[0][5].sli.getValue();\\r\\n\\r\\n fih.rbicep = servoitemholder[1][0].sli.getValue();\\r\\n fih.rrotate = servoitemholder[1][1].sli.getValue();\\r\\n fih.rshoulder = servoitemholder[1][2].sli.getValue();\\r\\n fih.romoplate = servoitemholder[1][3].sli.getValue();\\r\\n\\r\\n fih.lthumb = servoitemholder[2][0].sli.getValue();\\r\\n fih.lindex = servoitemholder[2][1].sli.getValue();\\r\\n fih.lmajeure = servoitemholder[2][2].sli.getValue();\\r\\n fih.lringfinger = servoitemholder[2][3].sli.getValue();\\r\\n fih.lpinky = servoitemholder[2][4].sli.getValue();\\r\\n fih.lwrist = servoitemholder[2][5].sli.getValue();\\r\\n\\r\\n fih.lbicep = servoitemholder[3][0].sli.getValue();\\r\\n fih.lrotate = servoitemholder[3][1].sli.getValue();\\r\\n fih.lshoulder = servoitemholder[3][2].sli.getValue();\\r\\n fih.lomoplate = servoitemholder[3][3].sli.getValue();\\r\\n\\r\\n fih.neck = servoitemholder[4][0].sli.getValue();\\r\\n fih.rothead = servoitemholder[4][1].sli.getValue();\\r\\n fih.eyeX = servoitemholder[4][2].sli.getValue();\\r\\n fih.eyeY = servoitemholder[4][3].sli.getValue();\\r\\n fih.jaw = servoitemholder[4][4].sli.getValue();\\r\\n\\r\\n fih.topStom = servoitemholder[5][0].sli.getValue();\\r\\n fih.midStom = servoitemholder[5][1].sli.getValue();\\r\\n fih.lowStom = servoitemholder[5][2].sli.getValue();\\r\\n\\r\\n fih.sleep = -1;\\r\\n fih.speech = null;\\r\\n fih.name = frame_add_textfield.getText();\\r\\n\\r\\n frameitemholder.add(fih);\\r\\n\\r\\n framelistact(framelist);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"817b05aea32e5171190ac206a3ddfc0d\",\n \"score\": \"0.5194783\",\n \"text\": \"private void initData() {\\n\\t\\tnombreSedes = getMapaByPosition(getData(), 0);\\n\\t\\tannios = getMapaByPosition(getData(), 1);\\n\\t\\tnombreCampeones = getMapaByPosition(getData(), 2);\\n\\t\\tresultados = getMapaByPosition(getData(), 3);\\n\\t\\tnombreSubCampeones = getMapaByPosition(getData(), 4);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82750d8bb37c0e29139fc3582e215b74\",\n \"score\": \"0.5194538\",\n \"text\": \"@Override\\n public void onData(Stream stream, DataFrame frame, Callback callback) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82750d8bb37c0e29139fc3582e215b74\",\n \"score\": \"0.5194538\",\n \"text\": \"@Override\\n public void onData(Stream stream, DataFrame frame, Callback callback) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"103c80b9f8495e97a15e316266c9a613\",\n \"score\": \"0.51880425\",\n \"text\": \"String getFrame();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23f5ab7828d39f5234ee5c4bc00976b2\",\n \"score\": \"0.5179337\",\n \"text\": \"public void Frame()\\r\\n\\t{\\r\\n\\t\\tArrays.stream(_VehicleLabels.toArray()).forEach(vehicle -> {\\r\\n\\t\\t\\tif(Controller.GetController().get_GameController() != null)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\t((InGameLabel) vehicle).CalcNextFrame();\\r\\n\\t\\t\\t}\\r\\n\\t\\t});\\r\\n\\t\\t\\r\\n\\t\\trepaint();\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b34e5f2513ffe95ca51224bd6bcc8a18\",\n \"score\": \"0.5174064\",\n \"text\": \"public Retur() {\\n initComponents();\\n setExtendedState(JFrame.MAXIMIZED_BOTH);\\n startClock();\\n loadData(\\\"\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9bc5c0595edb12df0c1f6d9c4d8a4d0f\",\n \"score\": \"0.51721823\",\n \"text\": \"void renderFrame(Element container);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b5746760e2b72449d43bd55ff586b61\",\n \"score\": \"0.51716363\",\n \"text\": \"void setFrame(GUI_Frame fr) {\\n root_frame = fr;\\n panel.add(pl1_points_l);\\n if (root_frame.getNoOfPlayers() == 2) panel.add(pl2_points_l);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff73a3cc54d1e04dbea611eacf475a56\",\n \"score\": \"0.51706165\",\n \"text\": \"public void doOneFrame(DrawSurface d, double dt) {\\r\\n // print HighScoresTable to the screen\\r\\n d.drawText(d.getWidth() / 2 - 150, d.getHeight() / 2 - 220, \\\"High Scores\\\", 50);\\r\\n int i = 0;\\r\\n for (ScoreInfo scoreInfo : this.hScoresTable.getHighScores()) {\\r\\n d.drawText(d.getWidth() / 2 - 200, d.getHeight() / 2 - 150 + i * 35, \\\"\\\" + scoreInfo.getName(), 32);\\r\\n d.drawText(d.getWidth() / 2 + 150, d.getHeight() / 2 - 150 + i * 35, \\\"\\\" + scoreInfo.getScore(), 32);\\r\\n i++;\\r\\n }\\r\\n d.drawText(d.getWidth() / 2 - 300, d.getHeight() / 2 - 150 + i * 35 + 50, \\\"Press Space to Main Menu\\\", 50);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c12884a2ba5f0927aa6bef8d33b752a2\",\n \"score\": \"0.5170471\",\n \"text\": \"private void paintFrame1(GraphicsContext gc){\\n\\t\\tWritableImage shownFrame1 = new WritableImage(bg.getPixelReader(), currentX[0], currentY[0],frameWidth , frameHeight);\\n\\t\\tgc.drawImage(shownFrame1, 550, 25);\\n\\t\\tfor(IRenderable r : IRenderableHolder.getInstance().getEntities()){\\n\\t\\t\\tEntity p = (Entity)r;\\n\\t\\t\\t\\n\\t\\t\\tif(isInFrame(p.getX(), p.getY(), currentX[0], currentY[0])){\\n\\t\\t\\t\\tint x = 550 + p.getX() - currentX[0];\\n\\t\\t\\t\\tint y = 25 + p.getY() - currentY[0];\\n\\t\\t\\t\\tp.draw(gc, x, y);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"387be7f1590399a5e3fda8bb0afffd6c\",\n \"score\": \"0.51681995\",\n \"text\": \"public ChooserFrame(JFrame frame) {\\n initComponents();\\n this.setLocationRelativeTo(null);\\n this.setResizable(false);\\n this.frame = frame;\\n escogeC.setContentAreaFilled(false);\\n escogeU.setContentAreaFilled(false);\\n escogeP.setContentAreaFilled(false);\\n jButton2.setContentAreaFilled(false);\\n jason = new Jason();\\n arbol = new Arbol();\\n \\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c00b4e552d572bfb76c60c3f3cfdda04\",\n \"score\": \"0.51674426\",\n \"text\": \"private void resetFrame(){\\n\\t\\tcontainer.removeAll();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c0335e3dcbfe22137931236fd3bde7cc\",\n \"score\": \"0.5166437\",\n \"text\": \"private void iniciaFrames() {\\n\\t\\ttheServiciosEntidades = new ServiciosEntidades(); \\r\\n\\t\\ttheServiciosEntidades.setControlador(this);\\t\\t\\r\\n\\t\\ttheServiciosAtributos = new ServiciosAtributos();\\r\\n\\t\\ttheServiciosAtributos.setControlador(this);\\r\\n\\t\\ttheServiciosRelaciones = new ServiciosRelaciones();\\r\\n\\t\\ttheServiciosRelaciones.setControlador(this);\\r\\n\\t\\ttheServiciosDominios = new ServiciosDominios();\\r\\n\\t\\ttheServiciosDominios.setControlador(this);\\r\\n\\t\\ttheServiciosSistema = new GeneradorEsquema();\\r\\n\\t\\ttheServiciosSistema.reset();\\r\\n\\t\\ttheServiciosSistema.setControlador(this);\\r\\n\\r\\n\\t\\t// Fuera\\r\\n\\t\\ttheGUIInsertarEntidad = new GUI_InsertarEntidad();\\r\\n\\t\\ttheGUIInsertarEntidad.setControlador(this);\\r\\n\\t\\ttheGUIInsertarRelacion = new GUI_InsertarRelacion();\\r\\n\\t\\ttheGUIInsertarRelacion.setControlador(this);\\r\\n\\t\\ttheGUIInsertarDominio = new GUI_InsertarDominio();\\r\\n\\t\\ttheGUIInsertarDominio.setControlador(this);\\r\\n\\t\\ttheGUIConexion = new GUI_Conexion();\\r\\n\\t\\ttheGUIConexion.setControlador(this);\\r\\n\\t\\ttheGUISeleccionarConexion = new GUI_SeleccionarConexion();\\r\\n\\t\\ttheGUISeleccionarConexion.setControlador(this);\\r\\n\\r\\n\\t\\t// Entidades\\r\\n\\t\\ttheGUIRenombrarEntidad = new GUI_RenombrarEntidad();\\r\\n\\t\\ttheGUIRenombrarEntidad.setControlador(this);\\r\\n\\t\\ttheGUIAnadirAtributoEntidad = new GUI_AnadirAtributoEntidad();\\r\\n\\t\\ttheGUIAnadirAtributoEntidad.setControlador(this);\\r\\n\\t\\ttheGUIAnadirRestriccionAEntidad = new GUI_InsertarRestriccionAEntidad();\\r\\n\\t\\ttheGUIAnadirRestriccionAEntidad.setControlador(this);\\r\\n\\t\\ttheGUIAnadirAtributo = new GUI_AnadirAtributo();\\r\\n\\t\\ttheGUIAnadirAtributo.setControlador(this);\\r\\n\\r\\n\\t\\t// Atributos\\r\\n\\t\\ttheGUIRenombrarAtributo = new GUI_RenombrarAtributo();\\r\\n\\t\\ttheGUIRenombrarAtributo.setControlador(this);\\r\\n\\t\\ttheGUIEditarDominioAtributo = new GUI_EditarDominioAtributo();\\r\\n\\t\\ttheGUIEditarDominioAtributo.setControlador(this);\\r\\n\\t\\ttheGUIAnadirSubAtributoAtributo = new GUI_AnadirSubAtributoAtributo();\\r\\n\\t\\ttheGUIAnadirSubAtributoAtributo.setControlador(this);\\r\\n\\t\\ttheGUIAnadirRestriccionAAtributo = new GUI_InsertarRestriccionAAtributo();\\r\\n\\t\\ttheGUIAnadirRestriccionAAtributo.setControlador(this);\\r\\n\\r\\n\\t\\t// Relaciones IsA\\r\\n\\t\\ttheGUIEstablecerEntidadPadre = new GUI_EstablecerEntidadPadre();\\r\\n\\t\\ttheGUIEstablecerEntidadPadre.setControlador(this);\\r\\n\\t\\ttheGUIQuitarEntidadPadre = new GUI_QuitarEntidadPadre();\\r\\n\\t\\ttheGUIQuitarEntidadPadre.setControlador(this);\\r\\n\\t\\ttheGUIAnadirEntidadHija = new GUI_AnadirEntidadHija();\\r\\n\\t\\ttheGUIAnadirEntidadHija.setControlador(this);\\r\\n\\t\\ttheGUIQuitarEntidadHija = new GUI_QuitarEntidadHija();\\r\\n\\t\\ttheGUIQuitarEntidadHija.setControlador(this);\\r\\n\\r\\n\\t\\t// Relaciones Normales\\r\\n\\t\\ttheGUIRenombrarRelacion = new GUI_RenombrarRelacion();\\r\\n\\t\\ttheGUIRenombrarRelacion.setControlador(this);\\r\\n\\t\\ttheGUIAnadirEntidadARelacion = new GUI_AnadirEntidadARelacion();\\r\\n\\t\\ttheGUIAnadirEntidadARelacion.setControlador(this);\\r\\n\\t\\ttheGUIQuitarEntidadARelacion = new GUI_QuitarEntidadARelacion();\\r\\n\\t\\ttheGUIQuitarEntidadARelacion.setControlador(this);\\r\\n\\t\\ttheGUIEditarCardinalidadEntidad = new GUI_EditarCardinalidadEntidad();\\r\\n\\t\\ttheGUIEditarCardinalidadEntidad.setControlador(this);\\r\\n\\t\\ttheGUIAnadirAtributoRelacion = new GUI_AnadirAtributoRelacion();\\r\\n\\t\\ttheGUIAnadirAtributoRelacion.setControlador(this);\\r\\n\\t\\ttheGUIAnadirRestriccionARelacion = new GUI_InsertarRestriccionARelacion();\\r\\n\\t\\ttheGUIAnadirRestriccionARelacion.setControlador(this);\\r\\n\\r\\n\\t\\t// Dominios\\r\\n\\t\\ttheGUIRenombrarDominio = new GUI_RenombrarDominio();\\r\\n\\t\\ttheGUIRenombrarDominio.setControlador(this);\\r\\n\\t\\ttheGUIModificarElementosDominio = new GUI_ModificarDominio();\\r\\n\\t\\ttheGUIModificarElementosDominio.setControlador(this);\\r\\n\\t\\t\\r\\n\\t\\t// Otras\\r\\n\\t\\tabout = new GUI_About();\\r\\n\\t\\ttheGUIWorkSpace = new GUI_SaveAs();\\r\\n\\t\\ttheGUIWorkSpace.setControlador(this);\\r\\n\\t\\tpanelOpciones= new GUI_Pregunta();\\r\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":983396,"cells":{"query_id":{"kind":"string","value":"25197b4cf814864ecd440f23b9149cb3"},"query":{"kind":"string","value":"TODO Autogenerated method stub"},"positive_passages":{"kind":"list like","value":[{"docid":"e301c5c588f75db49ee3ed38b8fb8feb","score":"0.0","text":"@Override\n\tprotected void onActivityResult(int requestCode, int resultCode, Intent data) {\n\t\tif (requestCode == IMAGE_PHOTO_CODE && resultCode == Activity.RESULT_OK) { // 相册\n\n\t\t\tUri contentUri = data.getData();\n//\t\t\tif (!TextUtils.isEmpty(contentUri.getAuthority())) {\n\t\t\t\t// Cursor cursor = null;\n\t\t\t\ttry {\n\t\t\t\t\tString filePath = CommonUtil.getPath(context, contentUri);\n\n\t\t\t\t\tLogUtil.d(TAG, \"local path=\" + filePath);\n\t\t\t\t\tif (!TextUtils.isEmpty(filePath)) {// 目前本地存的图片路径\n\t\t\t\t\t\tupdateImg(filePath);\n\t\t\t\t\t\t// 生成上传文件，或者压缩\n//\t\t\t\t\t\tIntent intent = new Intent(this,\n//\t\t\t\t\t\t\t\tCropImageActivity.class);\n//\t\t\t\t\t\tintent.putExtra(ImageConst.KEY_PATH, filePath);\n//\t\t\t\t\t\tintent.putExtra(ImageConst.KEY_SCALE, 1.0f);\n//\t\t\t\t\t\tstartActivityForResult(intent, IMAGE_DEAL);\n\t\t\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t} finally {\n\t\t\t\t\t// if (cursor != null) {\n\t\t\t\t\t// cursor.close();\n\t\t\t\t\t// }\n\t\t\t\t}\n//\t\t\t}\n\n\t\t} else if (requestCode == IMAGE_CAMERA_CODE\n\t\t\t\t&& resultCode == Activity.RESULT_OK) {// 相机\n\t\t\tupdateImg(mLocalCameraPath);\n//\t\t\tFile f = new File(mLocalCameraPath);\n//\t\t\tIntent intent = new Intent(this, CropImageActivity.class);\n//\t\t\tintent.putExtra(ImageConst.KEY_PATH, f.getAbsolutePath());\n//\t\t\tintent.putExtra(ImageConst.KEY_SCALE, 1.0f);\n//\t\t\tstartActivityForResult(intent, IMAGE_DEAL);\n\t\t} else if (requestCode == IMAGE_DEAL) {// 裁剪图片完成后\n\t\t\t// 获取图片路径(对图片进行显示)\n//\t\t\tif (data == null) {\n//\t\t\t\treturn;\n//\t\t\t}\n//\t\t\tfinal String path = data.getStringExtra(ImageConst.KEY_PATH);\n//\t\t\tupdateImg(path);\n\t\t}\n\t\t\n\t\tsuper.onActivityResult(requestCode, resultCode, data);\n\t}","title":""}],"string":"[\n {\n \"docid\": \"e301c5c588f75db49ee3ed38b8fb8feb\",\n \"score\": \"0.0\",\n \"text\": \"@Override\\n\\tprotected void onActivityResult(int requestCode, int resultCode, Intent data) {\\n\\t\\tif (requestCode == IMAGE_PHOTO_CODE && resultCode == Activity.RESULT_OK) { // 相册\\n\\n\\t\\t\\tUri contentUri = data.getData();\\n//\\t\\t\\tif (!TextUtils.isEmpty(contentUri.getAuthority())) {\\n\\t\\t\\t\\t// Cursor cursor = null;\\n\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\tString filePath = CommonUtil.getPath(context, contentUri);\\n\\n\\t\\t\\t\\t\\tLogUtil.d(TAG, \\\"local path=\\\" + filePath);\\n\\t\\t\\t\\t\\tif (!TextUtils.isEmpty(filePath)) {// 目前本地存的图片路径\\n\\t\\t\\t\\t\\t\\tupdateImg(filePath);\\n\\t\\t\\t\\t\\t\\t// 生成上传文件，或者压缩\\n//\\t\\t\\t\\t\\t\\tIntent intent = new Intent(this,\\n//\\t\\t\\t\\t\\t\\t\\t\\tCropImageActivity.class);\\n//\\t\\t\\t\\t\\t\\tintent.putExtra(ImageConst.KEY_PATH, filePath);\\n//\\t\\t\\t\\t\\t\\tintent.putExtra(ImageConst.KEY_SCALE, 1.0f);\\n//\\t\\t\\t\\t\\t\\tstartActivityForResult(intent, IMAGE_DEAL);\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t} finally {\\n\\t\\t\\t\\t\\t// if (cursor != null) {\\n\\t\\t\\t\\t\\t// cursor.close();\\n\\t\\t\\t\\t\\t// }\\n\\t\\t\\t\\t}\\n//\\t\\t\\t}\\n\\n\\t\\t} else if (requestCode == IMAGE_CAMERA_CODE\\n\\t\\t\\t\\t&& resultCode == Activity.RESULT_OK) {// 相机\\n\\t\\t\\tupdateImg(mLocalCameraPath);\\n//\\t\\t\\tFile f = new File(mLocalCameraPath);\\n//\\t\\t\\tIntent intent = new Intent(this, CropImageActivity.class);\\n//\\t\\t\\tintent.putExtra(ImageConst.KEY_PATH, f.getAbsolutePath());\\n//\\t\\t\\tintent.putExtra(ImageConst.KEY_SCALE, 1.0f);\\n//\\t\\t\\tstartActivityForResult(intent, IMAGE_DEAL);\\n\\t\\t} else if (requestCode == IMAGE_DEAL) {// 裁剪图片完成后\\n\\t\\t\\t// 获取图片路径(对图片进行显示)\\n//\\t\\t\\tif (data == null) {\\n//\\t\\t\\t\\treturn;\\n//\\t\\t\\t}\\n//\\t\\t\\tfinal String path = data.getStringExtra(ImageConst.KEY_PATH);\\n//\\t\\t\\tupdateImg(path);\\n\\t\\t}\\n\\t\\t\\n\\t\\tsuper.onActivityResult(requestCode, resultCode, data);\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"da34ed11fe7c5649b3cd0bdad6dca5df","score":"0.7115525","text":"@Override\n\t\tpublic void 비행() {\n\t\t\t\n\t\t}","title":""},{"docid":"99cfe01c5035e9a9ca6dafada0e4a005","score":"0.673545","text":"@Override\r\n\tpublic void caminar() {\r\n\t\t// TODO Auto-generated method stub\r\n\t\t\r\n\t}","title":""},{"docid":"93de84d0e77a5e19e12e7d0655c39af3","score":"0.67350614","text":"@Override\n\tpublic void agit() {\n\t\t\n\t}","title":""},{"docid":"f8d94fd3a365ff0f8b293a42b581cc33","score":"0.6585368","text":"@Override\r\n public void caminar() {\r\n }","title":""},{"docid":"80d20df1cc75d8fa96c12c49a757fc43","score":"0.65292907","text":"@Override\n\tprotected void getExras() {\n\t\t\n\t}","title":""},{"docid":"b256767990570c27f4f2479e85bd7f03","score":"0.6498265","text":"@Override\r\n\tpublic void otkazi() {\n\t\t\r\n\t}","title":""},{"docid":"2104f557428f6e269f61b8f05a73cc43","score":"0.64859766","text":"@Override\n\tpublic void repare() {\n\t\t\n\t}","title":""},{"docid":"2dcda7054abb2ac593302e39a2284f12","score":"0.6458362","text":"@Override\n\tprotected void getExras() {\n\n\t}","title":""},{"docid":"0a93ae79a871bc2bb8787223c8b043a4","score":"0.64124984","text":"@Override\n\tpublic void interogare() {\n\t\t\n\t}","title":""},{"docid":"16c30d73c1df796c0e31e93eb0f6e02e","score":"0.64066756","text":"@Override\r\n\tpublic void atacar() {\n\t\t\r\n\t}","title":""},{"docid":"2e18c1d20c67735ba2db1c70042e02d7","score":"0.63391966","text":"@Override\r\n\tpublic void embalar() {\n\t\t\r\n\t}","title":""},{"docid":"83c17378086426b4324c4ea8c160e29d","score":"0.6268107","text":"@Override\r\n\tpublic void provjeri() {\n\r\n\t}","title":""},{"docid":"1f7c82e188acf30d59f88faf08cf24ac","score":"0.62387824","text":"@Override\r\n\t\t\tpublic void ayuda() {\n\r\n\t\t\t}","title":""},{"docid":"289f89533edfafac14fcf50ce6d1dcfb","score":"0.6203401","text":"@Override\n\t\t\t\t\tpublic void accionSi() {\n\n\t\t\t\t\t}","title":""},{"docid":"7c4f2f94b290de5507eb56a649c4fab9","score":"0.6194336","text":"@Override\n\tpublic void grabar() {\n\t\t\n\t}","title":""},{"docid":"038aba0c2804848e5fbdbafd6a794e97","score":"0.61903155","text":"@Override\r\n\tpublic void genererFacture() {\n\t\t\r\n\t}","title":""},{"docid":"10ead2e988bf977cb8edb2bacf974891","score":"0.61595005","text":"@Override\n\tprotected void init() {\n\t\t\n\t}","title":""},{"docid":"10ead2e988bf977cb8edb2bacf974891","score":"0.61595005","text":"@Override\n\tprotected void init() {\n\t\t\n\t}","title":""},{"docid":"9da42c54ca8fb8825afce96ad2d2781c","score":"0.61518204","text":"@Override\r\n\tpublic void comenzar() {\n\t\t\r\n\t}","title":""},{"docid":"29cde3f10dab87cebafdd9412ef4b29f","score":"0.60620016","text":"@Override\r\n\tpublic void embala() {\n\t\t\r\n\t}","title":""},{"docid":"7aa6963c647c1b2028e2058b152485e1","score":"0.6050463","text":"@Override\n\tpublic void generate() {\n\t\t\n\t}","title":""},{"docid":"7aa6963c647c1b2028e2058b152485e1","score":"0.6050463","text":"@Override\n\tpublic void generate() {\n\t\t\n\t}","title":""},{"docid":"d18a5453cb937c44d51c46c967f1f4f6","score":"0.60446644","text":"protected void method_3848() {}","title":""},{"docid":"63d27d2836275ed0fc981c7cfae8e737","score":"0.60322064","text":"@Override\n\tprotected void init(){\n\t}","title":""},{"docid":"d49d17272b1c32563649e99191745398","score":"0.6026779","text":"@Override\n\tpublic void inchide() {\n\t\t\n\t}","title":""},{"docid":"b7d3c2b49702a5ed673b243bf8d2b7c0","score":"0.60250884","text":"@Override\n\tprotected void funcionario() {\n\t\t\n\t}","title":""},{"docid":"770d423e40bf5782a700bc181e8b8a1e","score":"0.6021195","text":"@Override\n\tvoid init() {\n\t\t\n\t}","title":""},{"docid":"770d423e40bf5782a700bc181e8b8a1e","score":"0.6021195","text":"@Override\n\tvoid init() {\n\t\t\n\t}","title":""},{"docid":"85245b1c9026959162e61e0473f9cf29","score":"0.5961993","text":"@Override\n\t\t\t\t\tpublic void accionNo() {\n\n\t\t\t\t\t}","title":""},{"docid":"f0512ddbeb7af0b9d9405114f8362f5d","score":"0.5936479","text":"private void recupererPliPrecedent() {\n\t}","title":""},{"docid":"66f76462eb0121053379289c39650179","score":"0.5928719","text":"public void mo19333b() {\n }","title":""},{"docid":"2d61391fe8770661f25917f3770f2a26","score":"0.5926068","text":"@Override\n\t\tpublic void init(){\n\t\t\t\n\t\t}","title":""},{"docid":"da5f753a7cd33da8d5581d14337c059f","score":"0.59106505","text":"@Override\n\tpublic void tauchen() {\n\t\t\n\t}","title":""},{"docid":"21e83e0c6fdd60581bc05b6e8f682d1e","score":"0.590058","text":"public void mo7875c() {\n }","title":""},{"docid":"cad86041007c052466e6525bc7dcd8c8","score":"0.5900038","text":"@Override\r\n\tpublic void trasation() {\n\t\t\r\n\t}","title":""},{"docid":"cfd10238a4f026fdd414282790c4920f","score":"0.58989364","text":"@Override\r\n\t\tprotected void initData() {\n\t\t\t\r\n\t\t}","title":""},{"docid":"5477922fce309be487fa552d27c3bf32","score":"0.588723","text":"public void mo7873a() {\n }","title":""},{"docid":"7f91c82c66ced12c5b193d3c89d68e4c","score":"0.5887088","text":"@Override\n\tprotected void init() {\n\t}","title":""},{"docid":"7f91c82c66ced12c5b193d3c89d68e4c","score":"0.5887088","text":"@Override\n\tprotected void init() {\n\t}","title":""},{"docid":"69b1247a4afd513b9853da385d6f2d24","score":"0.5866052","text":"@Override\n\tpublic void resta() {\n\t\t\n\t}","title":""},{"docid":"4967494f628119c8d3a4740e09278944","score":"0.58600056","text":"@Override\r\n\tprotected void initData() {\n\r\n\t}","title":""},{"docid":"5aa237d31e744d1e0729621e464fcfb2","score":"0.5854957","text":"@Override\r\n\tprotected void DataInit() {\n\r\n\t}","title":""},{"docid":"c5648e3463d069bbd00252aa57baecf9","score":"0.585383","text":"@Override\r\n\r\n\t\t\tpublic void init() {\n\r\n\t\t\t\t\r\n\r\n\t\t\t\t\r\n\r\n\t\t\t}","title":""},{"docid":"9a2bf99ecbc04ed75ccb3e865d3d8a64","score":"0.5852628","text":"@Override\n public void vypisSudy() {\n }","title":""},{"docid":"9a2bf99ecbc04ed75ccb3e865d3d8a64","score":"0.5852628","text":"@Override\n public void vypisSudy() {\n }","title":""},{"docid":"2a6c59f221c7c146ab9267197b8cf257","score":"0.5849516","text":"@Override\n\tpublic void prnt() {\n\t\t\n\t}","title":""},{"docid":"451aac44b51bc834350309c1b94be619","score":"0.5848916","text":"@Override\r\n\tprotected void speichereSonderwuensche() {\n\t\t\r\n\t}","title":""},{"docid":"39c15addb7f9cae9284ae4af01c5a911","score":"0.58365273","text":"@Override\r\n\tpublic void cortar() {\n\t\t\r\n\t}","title":""},{"docid":"fab6f4103beb4667b90da1eb3672a4fa","score":"0.58215445","text":"@Override\n\tprotected void update() {\n\n\t}","title":""},{"docid":"97c456611a497fb152db478124462615","score":"0.58052194","text":"public void mo7874b() {\n }","title":""},{"docid":"ecd084bf055d602fdedf08fab1e19a33","score":"0.5804955","text":"@Override\n\tvoid emi() {\n\t\t\n\t}","title":""},{"docid":"ecd084bf055d602fdedf08fab1e19a33","score":"0.5804955","text":"@Override\n\tvoid emi() {\n\t\t\n\t}","title":""},{"docid":"ecd084bf055d602fdedf08fab1e19a33","score":"0.5804955","text":"@Override\n\tvoid emi() {\n\t\t\n\t}","title":""},{"docid":"b14d9313b224be37257260448fc816d3","score":"0.5803265","text":"@Override\n\tpublic void breathes()\n\t{\n\n\t}","title":""},{"docid":"63519e7beede7b06dcebbca99514f5c5","score":"0.580137","text":"@Override\n\tprotected void salirsePorXIzq() {\n\t\t\n\t}","title":""},{"docid":"c60781d66bd146683572dce40076140d","score":"0.57919073","text":"private LIDAR() \n\t\t{\n\n\t\t}","title":""},{"docid":"3138943fc1f99b10746b6218fb0522fe","score":"0.5789574","text":"@Override\n public int order() {\n return 1;\n }","title":""},{"docid":"f93772ae3050679cb5cad45b34d90052","score":"0.5784679","text":"public void mo36368c() {\n }","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5773749","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5773749","text":"@Override\n\tpublic void init() 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{\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5773749","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"4049f356224496e4636627d70f5c0e9a","score":"0.5767827","text":"@Override\n\tpublic void generateData() \n\t{\n\t}","title":""},{"docid":"8843ebe8d692b94536f16d5f07fdff4f","score":"0.57601655","text":"@Override\n public void update() {\n // TODO Auto-generated method stub\n }","title":""},{"docid":"518a761521ca9f5cb8a8055b32b72cda","score":"0.57585216","text":"@Override\n\tprotected void initialize() {\n\t\t\n\t}","title":""},{"docid":"3013650e7b02771c88bbeb22d93b2660","score":"0.57579416","text":"@Override\r\n public String toString(){\n return null;\r\n }","title":""},{"docid":"ebfe1bb4dd1c0618c0fad36d9f7674b4","score":"0.57515615","text":"@Override\n protected void initialize() {\n\n }","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.5749909","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.5749909","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.5749909","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.5749909","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.5749909","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.5749909","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.5749909","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.5749909","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.5749909","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"b6c53604ad2f38e9cacf958a442de4cf","score":"0.5742119","text":"@Override\n\tprotected void initAfterData() {\n\n\t}","title":""},{"docid":"5485c75c53fb64a169034dd96e00cb59","score":"0.57358986","text":"@Override\n public void init() { \n }","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.5735176","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.5735176","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.5735176","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.5735176","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.5735176","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"c8c5ebd68bae88ac49f0df82efdf5eac","score":"0.57210535","text":"@Override\n\tprotected void body()\n\t{\n\t\t\n\t\t\n\t}","title":""},{"docid":"5a8ab197ccef743fd48bf5cf5814c8e3","score":"0.57159525","text":"public void atacar(){\n\t\t\r\n\t}","title":""},{"docid":"10ec55a5c701bead54e2106675e8d0e2","score":"0.5704291","text":"@Override\n\tpublic void somma() {\n\t\t\n\t}","title":""},{"docid":"7aadbda143e84de0144f7a8dadde423d","score":"0.57032174","text":"@Override\n protected void initData() {\n\n }","title":""},{"docid":"ad9858643cb51c92112f1a2ed05ea34e","score":"0.5701776","text":"public void mo7876d() {\n }","title":""},{"docid":"cc445ddeaecb385fbe47df8b7c49ffc4","score":"0.56995475","text":"@Override\r\n\tpublic void effectuerRemboursement() {\n\t\t\r\n\t}","title":""},{"docid":"57dab2b5051a2a184d855564327c4b1a","score":"0.5698921","text":"@Override\n\tpublic void init() \n\t{\n\n\t}","title":""},{"docid":"01841f81ab35e62f2bd0f7128634a0ab","score":"0.5691526","text":"@Override\n\tpublic void laufen() {\n\t\t\n\t}","title":""},{"docid":"20b42a0c3fee6c140a112d40354f4298","score":"0.5690479","text":"@Override\r\n\tpublic void prepara() {\n\t\t\r\n\t}","title":""},{"docid":"4dff52b2278f26ec5d11e194ed9cf5a6","score":"0.5689044","text":"@Override\n public String toString() {\n return null;\n }","title":""},{"docid":"e77a68a99f5bd2a047671668b77c1854","score":"0.5681232","text":"@Override\n public void generate() {\n }","title":""},{"docid":"2a0ef0804fb04e99e4054007df8500da","score":"0.56768185","text":"public void mo11098e() {\n }","title":""}],"string":"[\n {\n \"docid\": \"da34ed11fe7c5649b3cd0bdad6dca5df\",\n \"score\": \"0.7115525\",\n \"text\": \"@Override\\n\\t\\tpublic void 비행() {\\n\\t\\t\\t\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99cfe01c5035e9a9ca6dafada0e4a005\",\n \"score\": \"0.673545\",\n \"text\": \"@Override\\r\\n\\tpublic void caminar() {\\r\\n\\t\\t// TODO Auto-generated method stub\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93de84d0e77a5e19e12e7d0655c39af3\",\n \"score\": \"0.67350614\",\n \"text\": \"@Override\\n\\tpublic void agit() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f8d94fd3a365ff0f8b293a42b581cc33\",\n \"score\": \"0.6585368\",\n \"text\": \"@Override\\r\\n public void caminar() {\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80d20df1cc75d8fa96c12c49a757fc43\",\n \"score\": \"0.65292907\",\n \"text\": \"@Override\\n\\tprotected void getExras() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b256767990570c27f4f2479e85bd7f03\",\n \"score\": \"0.6498265\",\n \"text\": \"@Override\\r\\n\\tpublic void otkazi() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2104f557428f6e269f61b8f05a73cc43\",\n \"score\": \"0.64859766\",\n \"text\": \"@Override\\n\\tpublic void repare() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2dcda7054abb2ac593302e39a2284f12\",\n \"score\": \"0.6458362\",\n \"text\": \"@Override\\n\\tprotected void getExras() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0a93ae79a871bc2bb8787223c8b043a4\",\n \"score\": \"0.64124984\",\n \"text\": \"@Override\\n\\tpublic void interogare() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16c30d73c1df796c0e31e93eb0f6e02e\",\n \"score\": \"0.64066756\",\n \"text\": \"@Override\\r\\n\\tpublic void atacar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e18c1d20c67735ba2db1c70042e02d7\",\n \"score\": \"0.63391966\",\n \"text\": \"@Override\\r\\n\\tpublic void embalar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"83c17378086426b4324c4ea8c160e29d\",\n \"score\": \"0.6268107\",\n \"text\": \"@Override\\r\\n\\tpublic void provjeri() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f7c82e188acf30d59f88faf08cf24ac\",\n \"score\": \"0.62387824\",\n \"text\": \"@Override\\r\\n\\t\\t\\tpublic void ayuda() {\\n\\r\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"289f89533edfafac14fcf50ce6d1dcfb\",\n \"score\": \"0.6203401\",\n \"text\": \"@Override\\n\\t\\t\\t\\t\\tpublic void accionSi() {\\n\\n\\t\\t\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7c4f2f94b290de5507eb56a649c4fab9\",\n \"score\": \"0.6194336\",\n \"text\": \"@Override\\n\\tpublic void grabar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"038aba0c2804848e5fbdbafd6a794e97\",\n \"score\": \"0.61903155\",\n \"text\": \"@Override\\r\\n\\tpublic void genererFacture() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10ead2e988bf977cb8edb2bacf974891\",\n \"score\": \"0.61595005\",\n \"text\": \"@Override\\n\\tprotected void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10ead2e988bf977cb8edb2bacf974891\",\n \"score\": \"0.61595005\",\n \"text\": \"@Override\\n\\tprotected void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9da42c54ca8fb8825afce96ad2d2781c\",\n \"score\": \"0.61518204\",\n \"text\": \"@Override\\r\\n\\tpublic void comenzar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"29cde3f10dab87cebafdd9412ef4b29f\",\n \"score\": \"0.60620016\",\n \"text\": \"@Override\\r\\n\\tpublic void embala() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7aa6963c647c1b2028e2058b152485e1\",\n \"score\": \"0.6050463\",\n \"text\": \"@Override\\n\\tpublic void generate() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7aa6963c647c1b2028e2058b152485e1\",\n \"score\": \"0.6050463\",\n \"text\": \"@Override\\n\\tpublic void generate() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d18a5453cb937c44d51c46c967f1f4f6\",\n \"score\": \"0.60446644\",\n \"text\": \"protected void method_3848() {}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"63d27d2836275ed0fc981c7cfae8e737\",\n \"score\": \"0.60322064\",\n \"text\": \"@Override\\n\\tprotected void init(){\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d49d17272b1c32563649e99191745398\",\n \"score\": \"0.6026779\",\n \"text\": \"@Override\\n\\tpublic void inchide() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7d3c2b49702a5ed673b243bf8d2b7c0\",\n \"score\": \"0.60250884\",\n \"text\": \"@Override\\n\\tprotected void funcionario() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"770d423e40bf5782a700bc181e8b8a1e\",\n \"score\": \"0.6021195\",\n \"text\": \"@Override\\n\\tvoid init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"770d423e40bf5782a700bc181e8b8a1e\",\n \"score\": \"0.6021195\",\n \"text\": \"@Override\\n\\tvoid init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"85245b1c9026959162e61e0473f9cf29\",\n \"score\": \"0.5961993\",\n \"text\": \"@Override\\n\\t\\t\\t\\t\\tpublic void accionNo() {\\n\\n\\t\\t\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f0512ddbeb7af0b9d9405114f8362f5d\",\n \"score\": \"0.5936479\",\n \"text\": \"private void recupererPliPrecedent() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"66f76462eb0121053379289c39650179\",\n \"score\": \"0.5928719\",\n \"text\": \"public void mo19333b() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d61391fe8770661f25917f3770f2a26\",\n \"score\": \"0.5926068\",\n \"text\": \"@Override\\n\\t\\tpublic void init(){\\n\\t\\t\\t\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da5f753a7cd33da8d5581d14337c059f\",\n \"score\": \"0.59106505\",\n \"text\": \"@Override\\n\\tpublic void tauchen() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"21e83e0c6fdd60581bc05b6e8f682d1e\",\n \"score\": \"0.590058\",\n \"text\": \"public void mo7875c() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cad86041007c052466e6525bc7dcd8c8\",\n \"score\": \"0.5900038\",\n \"text\": \"@Override\\r\\n\\tpublic void trasation() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cfd10238a4f026fdd414282790c4920f\",\n \"score\": \"0.58989364\",\n \"text\": \"@Override\\r\\n\\t\\tprotected void initData() {\\n\\t\\t\\t\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5477922fce309be487fa552d27c3bf32\",\n \"score\": \"0.588723\",\n \"text\": \"public void mo7873a() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f91c82c66ced12c5b193d3c89d68e4c\",\n \"score\": \"0.5887088\",\n \"text\": \"@Override\\n\\tprotected void init() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f91c82c66ced12c5b193d3c89d68e4c\",\n \"score\": \"0.5887088\",\n \"text\": \"@Override\\n\\tprotected void init() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69b1247a4afd513b9853da385d6f2d24\",\n \"score\": \"0.5866052\",\n \"text\": \"@Override\\n\\tpublic void resta() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4967494f628119c8d3a4740e09278944\",\n \"score\": \"0.58600056\",\n \"text\": \"@Override\\r\\n\\tprotected void initData() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5aa237d31e744d1e0729621e464fcfb2\",\n \"score\": \"0.5854957\",\n \"text\": \"@Override\\r\\n\\tprotected void DataInit() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c5648e3463d069bbd00252aa57baecf9\",\n \"score\": \"0.585383\",\n \"text\": \"@Override\\r\\n\\r\\n\\t\\t\\tpublic void init() {\\n\\r\\n\\t\\t\\t\\t\\r\\n\\r\\n\\t\\t\\t\\t\\r\\n\\r\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a2bf99ecbc04ed75ccb3e865d3d8a64\",\n \"score\": \"0.5852628\",\n \"text\": \"@Override\\n public void vypisSudy() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a2bf99ecbc04ed75ccb3e865d3d8a64\",\n \"score\": \"0.5852628\",\n \"text\": \"@Override\\n public void vypisSudy() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a6c59f221c7c146ab9267197b8cf257\",\n \"score\": \"0.5849516\",\n \"text\": \"@Override\\n\\tpublic void prnt() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"451aac44b51bc834350309c1b94be619\",\n \"score\": \"0.5848916\",\n \"text\": \"@Override\\r\\n\\tprotected void speichereSonderwuensche() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39c15addb7f9cae9284ae4af01c5a911\",\n \"score\": \"0.58365273\",\n \"text\": \"@Override\\r\\n\\tpublic void cortar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fab6f4103beb4667b90da1eb3672a4fa\",\n \"score\": \"0.58215445\",\n \"text\": \"@Override\\n\\tprotected void update() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"97c456611a497fb152db478124462615\",\n \"score\": \"0.58052194\",\n \"text\": \"public void mo7874b() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ecd084bf055d602fdedf08fab1e19a33\",\n \"score\": \"0.5804955\",\n \"text\": \"@Override\\n\\tvoid emi() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ecd084bf055d602fdedf08fab1e19a33\",\n \"score\": \"0.5804955\",\n \"text\": \"@Override\\n\\tvoid emi() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ecd084bf055d602fdedf08fab1e19a33\",\n \"score\": \"0.5804955\",\n \"text\": \"@Override\\n\\tvoid emi() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b14d9313b224be37257260448fc816d3\",\n \"score\": \"0.5803265\",\n \"text\": \"@Override\\n\\tpublic void breathes()\\n\\t{\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"63519e7beede7b06dcebbca99514f5c5\",\n \"score\": \"0.580137\",\n \"text\": \"@Override\\n\\tprotected void salirsePorXIzq() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c60781d66bd146683572dce40076140d\",\n \"score\": \"0.57919073\",\n \"text\": \"private LIDAR() \\n\\t\\t{\\n\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3138943fc1f99b10746b6218fb0522fe\",\n \"score\": \"0.5789574\",\n \"text\": \"@Override\\n public int order() {\\n return 1;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f93772ae3050679cb5cad45b34d90052\",\n \"score\": \"0.5784679\",\n \"text\": \"public void mo36368c() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5773749\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5773749\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5773749\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5773749\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5773749\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5773749\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5773749\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5773749\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5773749\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5773749\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4049f356224496e4636627d70f5c0e9a\",\n \"score\": \"0.5767827\",\n \"text\": \"@Override\\n\\tpublic void generateData() \\n\\t{\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8843ebe8d692b94536f16d5f07fdff4f\",\n \"score\": \"0.57601655\",\n \"text\": \"@Override\\n public void update() {\\n // TODO Auto-generated method stub\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"518a761521ca9f5cb8a8055b32b72cda\",\n \"score\": \"0.57585216\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3013650e7b02771c88bbeb22d93b2660\",\n \"score\": \"0.57579416\",\n \"text\": \"@Override\\r\\n public String toString(){\\n return null;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ebfe1bb4dd1c0618c0fad36d9f7674b4\",\n \"score\": \"0.57515615\",\n \"text\": \"@Override\\n protected void initialize() {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.5749909\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.5749909\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.5749909\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.5749909\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.5749909\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.5749909\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.5749909\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.5749909\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.5749909\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6c53604ad2f38e9cacf958a442de4cf\",\n \"score\": \"0.5742119\",\n \"text\": \"@Override\\n\\tprotected void initAfterData() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5485c75c53fb64a169034dd96e00cb59\",\n \"score\": \"0.57358986\",\n \"text\": \"@Override\\n public void init() { \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.5735176\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.5735176\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.5735176\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.5735176\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.5735176\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c8c5ebd68bae88ac49f0df82efdf5eac\",\n \"score\": \"0.57210535\",\n \"text\": \"@Override\\n\\tprotected void body()\\n\\t{\\n\\t\\t\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a8ab197ccef743fd48bf5cf5814c8e3\",\n \"score\": \"0.57159525\",\n \"text\": \"public void atacar(){\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10ec55a5c701bead54e2106675e8d0e2\",\n \"score\": \"0.5704291\",\n \"text\": \"@Override\\n\\tpublic void somma() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7aadbda143e84de0144f7a8dadde423d\",\n \"score\": \"0.57032174\",\n \"text\": \"@Override\\n protected void initData() {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad9858643cb51c92112f1a2ed05ea34e\",\n \"score\": \"0.5701776\",\n \"text\": \"public void mo7876d() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cc445ddeaecb385fbe47df8b7c49ffc4\",\n \"score\": \"0.56995475\",\n \"text\": \"@Override\\r\\n\\tpublic void effectuerRemboursement() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"57dab2b5051a2a184d855564327c4b1a\",\n \"score\": \"0.5698921\",\n \"text\": \"@Override\\n\\tpublic void init() \\n\\t{\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"01841f81ab35e62f2bd0f7128634a0ab\",\n \"score\": \"0.5691526\",\n \"text\": \"@Override\\n\\tpublic void laufen() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"20b42a0c3fee6c140a112d40354f4298\",\n \"score\": \"0.5690479\",\n \"text\": \"@Override\\r\\n\\tpublic void prepara() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4dff52b2278f26ec5d11e194ed9cf5a6\",\n \"score\": \"0.5689044\",\n \"text\": \"@Override\\n public String toString() {\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e77a68a99f5bd2a047671668b77c1854\",\n \"score\": \"0.5681232\",\n \"text\": \"@Override\\n public void generate() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a0ef0804fb04e99e4054007df8500da\",\n \"score\": \"0.56768185\",\n \"text\": \"public void mo11098e() {\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":983397,"cells":{"query_id":{"kind":"string","value":"630bca30492a0fdd359cae73ec62c236"},"query":{"kind":"string","value":"This method was generated by Apache iBATIS ibator. This method corresponds to the database table goods_comment"},"positive_passages":{"kind":"list like","value":[{"docid":"f78d64488bccc35272da31561148742c","score":"0.0","text":"public List<Criteria> getOredCriteria() {\n\t\treturn oredCriteria;\n\t}","title":""}],"string":"[\n {\n \"docid\": \"f78d64488bccc35272da31561148742c\",\n \"score\": \"0.0\",\n \"text\": \"public List<Criteria> getOredCriteria() {\\n\\t\\treturn oredCriteria;\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"53f50c8d54dc553630f8e7bb24074fb5","score":"0.6818603","text":"@Override\n\tpublic List<Comment> GetGoodsComment(Integer goodsid) {\n\t\treturn null;\n\t}","title":""},{"docid":"6b126d21f5b965cf8d4f65b9b32c836a","score":"0.6298311","text":"public String getComment() throws SQLException {\n\t\tloadFromDB();\n\t\treturn rev_comment;\n\t}","title":""},{"docid":"9e1e3158436a599636ac71bf9554584e","score":"0.6157955","text":"@Lob\r\n @Column (name=\"RECORD_COMMENT\")\r\n\tpublic String getComment() {\r\n\t\treturn comment;\r\n\t}","title":""},{"docid":"74b13c0a9147b51597dc473b3cb81b4d","score":"0.6026815","text":"public void setGoodsNote(String goodsNote) {\n this.goodsNote = goodsNote;\n }","title":""},{"docid":"931f10fb867b630044ce0c75c181184c","score":"0.60049486","text":"String getComment() {\n//\t\t\tm1();\n\t\t\treturn \"small\";\n\t\t}","title":""},{"docid":"9e69573d8d70bda0b2110fdef0ec356b","score":"0.5941774","text":"public DatabaseCommentText() {\n this.comments = new ArrayList<String>();\n }","title":""},{"docid":"a5c3574c8cd4df2ab58e6c5df70e77b2","score":"0.58820313","text":"@Test\n public void WriteCommentSuccess() {\n Integer productID1 = store.getProductID(\"computer\");\n tradingSystem.AddProductToCart(NconnID, storeID, productID1, 1);\n tradingSystem.subscriberPurchase(NofetID, NconnID, \"123456789\", \"4\",\"2022\" , \"123\", \"123456789\", \"Rager 101\",\"Beer Sheva\",\"Israel\",\"8458527\");\n\n Response response = tradingSystem.WriteComment(NofetID,NconnID, storeID, productID1, \"Amazing\");\n Assertions.assertFalse(response.getIsErr());\n Integer size = store.getProduct(productID1).getComments().size();\n Assertions.assertEquals(size, 1);\n }","title":""},{"docid":"e62fdba4de2dca0bf727fa7a08637ce2","score":"0.58644515","text":"public String getComment() {\n return description;\n }","title":""},{"docid":"9dfdbe692b1f0c09442036131ffcb022","score":"0.5852257","text":"@Override\n\tpublic String getDatabaseComment() {\n\t\treturn _sDatabaseComment;\n\t}","title":""},{"docid":"46fc54566dd56383d83c648b07a5b34c","score":"0.5837519","text":"public String getComment();","title":""},{"docid":"46fc54566dd56383d83c648b07a5b34c","score":"0.5837519","text":"public String getComment();","title":""},{"docid":"46fc54566dd56383d83c648b07a5b34c","score":"0.5837519","text":"public String getComment();","title":""},{"docid":"46fc54566dd56383d83c648b07a5b34c","score":"0.5837519","text":"public String getComment();","title":""},{"docid":"46fc54566dd56383d83c648b07a5b34c","score":"0.5837519","text":"public String getComment();","title":""},{"docid":"46fc54566dd56383d83c648b07a5b34c","score":"0.5837519","text":"public String getComment();","title":""},{"docid":"6f32a6ee749c9239547cc1d2fa724147","score":"0.5809132","text":"public String getComment(){\n return this.comment;\n }","title":""},{"docid":"d4a76373c081415629c54364714d8548","score":"0.5793548","text":"public String getComment() {\n\t\tif (comment != null)\n\t\t\treturn ProteomeXchangeFilev2_1.COM + TAB\n\t\t\t// + \"comment\" + TAB\n\t\t\t\t\t+ comment;\n\t\treturn null;\n\t}","title":""},{"docid":"21a69fc69a2baff5606a39378d59b696","score":"0.57674676","text":"public String getGoodsNote() {\n return goodsNote;\n }","title":""},{"docid":"2ad58d57be2889ef0b6c6c7848789620","score":"0.57473004","text":"public void setComment(String new_comment){\n this.comment=new_comment;\n }","title":""},{"docid":"364dca378742d193d9922e468755e82f","score":"0.57262236","text":"public void insert(Comment com){\n //@todo implement method\n }","title":""},{"docid":"0841b752c14197e5a258622df3c0c83e","score":"0.57124156","text":"public String getComment() {\n return comment ;\n }","title":""},{"docid":"0b4841bfd806a77349e49fee9ce3c704","score":"0.5712052","text":"public int getCommentId();","title":""},{"docid":"a69846813e97e44875ab1eb0e62f8816","score":"0.569055","text":"public String getComment(){\n return comment;\n }","title":""},{"docid":"23392809e92c06a2e97e8d3f2989213f","score":"0.5687622","text":"public String getComment() {\n \t\t\t\t\t\t\t\t\treturn null;\n \t\t\t\t\t\t\t\t}","title":""},{"docid":"57f5de516d6424976de47d386519f793","score":"0.56811255","text":"public void setComment(String comment){\n this.comment = comment;\n }","title":""},{"docid":"14aedf6d72fc5b93e11feb63c4c6d82b","score":"0.5680747","text":"public void setComment(String comment) {\n this.comment = comment;\n }","title":""},{"docid":"79cf9d9572d15fdba0f133aeab9b8510","score":"0.5675806","text":"void saveComment(Comment.SavableComment comment) throws SQLException;","title":""},{"docid":"99563afa920f0256ec5271cbf277d8ef","score":"0.56648463","text":"public String getComment() {\n return this.comment;\n }","title":""},{"docid":"8bb2a1b61dbe29022a8054839d17a12b","score":"0.5657244","text":"public java.lang.String getHopscomment() throws java.rmi.RemoteException, javax.ejb.CreateException, javax.ejb.FinderException, javax.naming.NamingException {\n return (((java.lang.String) __getCache(\"hopscomment\")));\n }","title":""},{"docid":"fd434db929c114b040903ca334cdca22","score":"0.5650708","text":"org.hl7.fhir.String addNewComments();","title":""},{"docid":"f893ec1a60f167f7d631ef156dd14510","score":"0.5642053","text":"String getComment();","title":""},{"docid":"f893ec1a60f167f7d631ef156dd14510","score":"0.5642053","text":"String getComment();","title":""},{"docid":"54bc5645e22105af1f855ceeb45dbfb2","score":"0.56080073","text":"public String getComment() {\r\n\t\treturn comment;\r\n\t}","title":""},{"docid":"092ebba48e50fc98172d4531e85437cc","score":"0.55878496","text":"public String getComment() {\n return comment;\n }","title":""},{"docid":"092ebba48e50fc98172d4531e85437cc","score":"0.55878496","text":"public String getComment() {\n return comment;\n }","title":""},{"docid":"092ebba48e50fc98172d4531e85437cc","score":"0.55878496","text":"public String getComment() {\n return comment;\n }","title":""},{"docid":"092ebba48e50fc98172d4531e85437cc","score":"0.55878496","text":"public String getComment() {\n return comment;\n }","title":""},{"docid":"092ebba48e50fc98172d4531e85437cc","score":"0.55878496","text":"public String getComment() {\n return comment;\n }","title":""},{"docid":"092ebba48e50fc98172d4531e85437cc","score":"0.55878496","text":"public String getComment() {\n return comment;\n }","title":""},{"docid":"092ebba48e50fc98172d4531e85437cc","score":"0.55878496","text":"public String getComment() {\n return comment;\n }","title":""},{"docid":"9c06a8d69ea702d8d94930398f1391f7","score":"0.55704296","text":"public String getComment()\n {\n return comment;\n }","title":""},{"docid":"3f1343ada6904e48f49ef0c03ca1e0a8","score":"0.5551672","text":"void addNewComment(BlogComment comment) throws DAOException;","title":""},{"docid":"57eaa7663c46fa6d00a2402c49fd619f","score":"0.5549713","text":"@Override\n public void comment(String comment)\n {\n }","title":""},{"docid":"80c98c9d9f001681512c705247b2e5aa","score":"0.55451417","text":"public Integer getBookCommentId() {\n return bookCommentId;\n }","title":""},{"docid":"6df9e7f6db799a81b6ad9850dc93130e","score":"0.55238724","text":"public void setComment(String comment)\n {\n this.comment = comment;\n }","title":""},{"docid":"0b76bd686703ce8fe3dd0d596c0cd979","score":"0.5519771","text":"public void setComment(String c) {\n comment = c ;\n }","title":""},{"docid":"48dbdda0415dd454fe884964e3931606","score":"0.55167896","text":"@Override\r\n public String toString() {\r\n return \"com.abbt.training.persistence.ContactedUsComments[id=\" + id + \"]\";\r\n }","title":""},{"docid":"4464202aa362b0519e6098fc34024f6e","score":"0.551532","text":"public String getComment() {\n\t\treturn comment;\n\t}","title":""},{"docid":"4464202aa362b0519e6098fc34024f6e","score":"0.551532","text":"public String getComment() {\n\t\treturn comment;\n\t}","title":""},{"docid":"354acc8344740d996481f39068332a73","score":"0.55128783","text":"@Override\n\tpublic void comment() {\n\t\t\n\t}","title":""},{"docid":"01c3828a4a2716a904b970887630a10c","score":"0.5500338","text":"public String getBookComment() {\n return bookComment;\n }","title":""},{"docid":"01c3828a4a2716a904b970887630a10c","score":"0.5500338","text":"public String getBookComment() {\n return bookComment;\n }","title":""},{"docid":"18db374bf5170ac85abee17662b4a855","score":"0.5500256","text":"Comment getBase_Comment();","title":""},{"docid":"5525dffe9b9d51d033ff7270fbcb3ac2","score":"0.5498514","text":"public String getColumnComment(int pos) { return columns[pos].getComment(); }","title":""},{"docid":"33c555ef3e639751ecb3a76a01e388da","score":"0.5495921","text":"public void comment(String data);","title":""},{"docid":"a93f014167756c066ce793b57f94de33","score":"0.54864323","text":"public void setComment(String comment) {\n this.comment = comment;\n }","title":""},{"docid":"7f3621af3cfb3c428e1d680339b8e31a","score":"0.5481126","text":"@Override\n public List<NutricionistComment> findAllComments() {\n return nutricionistCommentDAO.findAllComments();\n }","title":""},{"docid":"a715c7673553d954394b3dbcacf06bfa","score":"0.5480608","text":"public void addCommentField(String comment, boolean italics) {\n Label commentLabel = new Label(getComposite(), SWT.LEFT | SWT.WRAP);\n commentLabel.setText(comment);\n if (italics) {\n commentLabel.setFont(getCommentFont());\n }\n TableWrapData layoutData = TableWrapLayoutHelper.createLayoutData(true, false, TableWrapData.FILL,\n TableWrapData.FILL);\n layoutData.colspan = 4;\n layoutData.rowspan = 1;\n layoutData.maxWidth = 200;\n commentLabel.setLayoutData(layoutData);\n }","title":""},{"docid":"de6dfab118180507839a1725527b0eb5","score":"0.5477178","text":"public void setComment(String comment);","title":""},{"docid":"de6dfab118180507839a1725527b0eb5","score":"0.5477178","text":"public void setComment(String comment);","title":""},{"docid":"73b34e49df36b62960b7529dc79941e8","score":"0.5467032","text":"@Override\n\tpublic String getComment() {\n\t\treturn model.getComment();\n\t}","title":""},{"docid":"946536b4cbc6b33ecad3b60732f2fbb9","score":"0.54638666","text":"public void setComment(String comment) {\n this.comment = comment;\n }","title":""},{"docid":"946536b4cbc6b33ecad3b60732f2fbb9","score":"0.54638666","text":"public void setComment(String comment) {\n this.comment = comment;\n }","title":""},{"docid":"91b65f3024f860aff8703cbebbc3c517","score":"0.54618996","text":"public String getGoodsRemark() {\n return goodsRemark;\n }","title":""},{"docid":"39e42b4dac01302b7f1b70e80f47135a","score":"0.5445194","text":"protected GoodsCommentExample(GoodsCommentExample example) {\n\t\tthis.orderByClause = example.orderByClause;\n\t\tthis.oredCriteria = example.oredCriteria;\n\t}","title":""},{"docid":"6dff47a7b8177a31d820ac74ce8eba83","score":"0.54414093","text":"public ProductComments getProductCommentById(int commentId) {\n ProductComments productComment = null;\n Session session = getSession();\n try {\n //Tao query tim comment moi den cu\n Query query = session.createQuery(\"from ProductComments where commentId=:commentId and isDisabled = false\");\n //Gan gia tri cho query\n query.setInteger(\"commentId\", commentId);\n productComment = (ProductComments)query.uniqueResult();\n session.getTransaction().commit();\n } catch (Exception e) {\n e.printStackTrace();\n session.getTransaction().rollback();\n }\n //dong session\n session.close();\n return productComment;\n }","title":""},{"docid":"99b6a849a44352420ea4b791f37c9dce","score":"0.5436176","text":"public Long getCommentId() {\n return commentId;\n }","title":""},{"docid":"bc1d624eb45029c1e60cc6b3a922929f","score":"0.5432517","text":"public static String commentTag(CommentUnit comment) {\n\t\treturn \"\\t\\t\\t<comm cntt=\\\"\" + comment.toString() + \"\\\"/>\\n\";\n\t}","title":""},{"docid":"01b5cdd0fe75b6270a58f1fffa90400f","score":"0.5424393","text":"@Override\n\t/**\n\t * does nothing because comments are disabled for classes \n\t */\n\tpublic void setItemHavingComment() {\n\t}","title":""},{"docid":"87e1cd5acaee19a3f3cda3152622dcf6","score":"0.54227","text":"private void interpretComments() throws IOException {\n trimLines( comments );\n \n /* Try to interpret the last remaining comment line as a set of\n * column headings. */\n if ( comments.size() > 0 ) {\n String hline = (String) comments.get( comments.size() - 1 );\n List headings = readHeadings( new PushbackInputStream( \n new ByteArrayInputStream( hline.getBytes() ) ) );\n \n /* If this line looks like a set of headings (there are the\n * right number of fields) modify the colinfos accordingly and\n * remove it from the set of comments. */\n if ( headings.size() == ncol ) {\n comments.remove( comments.size() - 1 );\n for ( int i = 0; i < ncol; i++ ) {\n colinfos[ i ].setName( (String) headings.get( i ) );\n }\n trimLines( comments );\n }\n }\n \n /* If there are any other comment lines, concatenate them and bung\n * them into a description parameter. */\n if ( comments.size() > 0 ) {\n StringBuffer dbuf = new StringBuffer();\n for ( Iterator it = comments.iterator(); it.hasNext(); ) {\n dbuf.append( (String) it.next() );\n if ( it.hasNext() ) {\n dbuf.append( '\\n' );\n }\n }\n ValueInfo descriptionInfo =\n new DefaultValueInfo( \"Description\", String.class,\n \"Comments included in text file\" );\n parameters.add( new DescribedValue( descriptionInfo, \n dbuf.toString() ) );\n }\n }","title":""},{"docid":"2b46eb2f6b7b0789f4da4eba18faca81","score":"0.53839576","text":"@Override\n\tpublic String toString() {\n\t\treturn \"Comment [id=\" + id + \", comment=\" + comment + \", user=\" + user\n\t\t\t\t+ \", entity=\" + entity + \", entityId=\" + entityId\n\t\t\t\t+ \", parrent=\" + parrent + \", likes=\" + likes + \"]\";\n\t}","title":""},{"docid":"91435e2b638c370b70eb5b45fc5058fa","score":"0.5369158","text":"private void addCotationAndComment(){\n contentTable = new PdfPTable(1);\n table = new PdfPTable(5);\n\n //*** cotation ***\n Vector items = new Vector();\n items.add(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_OEIL_RIGHT\");\n items.add(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_OEIL_LEFT\");\n items.add(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_MAIN_RIGHT\");\n items.add(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_MAIN_LEFT\");\n items.add(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_PIED_RIGHT\");\n items.add(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_PIED_LEFT\");\n items.add(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_TOTAL_RIGHT\");\n items.add(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_TOTAL_LEFT\");\n\n if(verifyList(items)){\n\n // title\n table.addCell(createItemNameCell(getTran(\"leprosy\",\"cotationdesinfirmites\"),2));\n\n // dedicated table\n PdfPTable cotationTable = new PdfPTable(8);\n\n // header\n cotationTable.addCell(emptyCell(2));\n cotationTable.addCell(createHeaderCell(getTran(\"web\",\"right\"),3));\n cotationTable.addCell(createHeaderCell(getTran(\"web\",\"left\"),3));\n\n //***** row 1 : Oeil *****\n cell = createHeaderCell(getTran(\"leprosy\",\"oeil\"),2);\n cell.setHorizontalAlignment(PdfPCell.ALIGN_LEFT);\n cotationTable.addCell(cell);\n itemValue = getItemValue(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_OEIL_RIGHT\");\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\"leprosy\",\"oeil_\"+itemValue).toLowerCase():\"\"),3));\n itemValue = getItemValue(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_OEIL_LEFT\");\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\"leprosy\",\"oeil_\"+itemValue).toLowerCase():\"\"),3));\n\n //***** row 2 : Main *****\n cell = createHeaderCell(getTran(\"leprosy\",\"main\"),2);\n cell.setHorizontalAlignment(PdfPCell.ALIGN_LEFT);\n cotationTable.addCell(cell);\n itemValue = getItemValue(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_MAIN_RIGHT\");\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\"leprosy\",\"main_\"+itemValue).toLowerCase():\"\"),3));\n itemValue = getItemValue(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_MAIN_LEFT\");\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\"leprosy\",\"main_\"+itemValue).toLowerCase():\"\"),3));\n\n //***** row 3 : Pied *****\n cell = createHeaderCell(getTran(\"leprosy\",\"pied\"),2);\n cell.setHorizontalAlignment(PdfPCell.ALIGN_LEFT);\n cotationTable.addCell(cell);\n itemValue = getItemValue(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_PIED_RIGHT\");\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\"leprosy\",\"pied_\"+itemValue).toLowerCase():\"\"),3));\n itemValue = getItemValue(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_PIED_LEFT\");\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\"leprosy\",\"pied_\"+itemValue).toLowerCase():\"\"),3));\n\n //***** row 4 : Totals *****\n cell = createHeaderCell(getTran(\"web\",\"total\"),2);\n cell.setHorizontalAlignment(PdfPCell.ALIGN_LEFT);\n cotationTable.addCell(cell);\n itemValue = getItemValue(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_TOTAL_RIGHT\");\n cotationTable.addCell(createValueCell(itemValue,3));\n itemValue = getItemValue(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COTATION_TOTAL_LEFT\");\n cotationTable.addCell(createValueCell(itemValue,3));\n\n // add cotationTable\n cell = createCell(new PdfPCell(cotationTable),3,PdfPCell.ALIGN_CENTER,PdfPCell.BOX);\n cell.setColspan(5);\n cell.setPadding(3);\n table.addCell(cell);\n }\n\n //*** commet ***\n itemValue = getItemValue(IConstants_PREFIX+\"ITEM_TYPE_LEPROSYBEGIN_COMMENT\");\n if(itemValue.length() > 0){\n addItemRow(table,getTran(\"Web\",\"comment\"),itemValue);\n }\n\n // add table to transaction\n if(table.size() > 0){\n if(contentTable.size() > 0) contentTable.addCell(emptyCell());\n contentTable.addCell(createCell(new PdfPCell(table),1,PdfPCell.ALIGN_CENTER,PdfPCell.NO_BORDER));\n tranTable.addCell(new PdfPCell(contentTable));\n addTransactionToDoc();\n }\n }","title":""},{"docid":"2a7357a1aac56038271f59124706d13a","score":"0.53672695","text":"@Override\n public void addModelClassComment(TopLevelClass topLevelClass, IntrospectedTable introspectedTable) {\n\n }","title":""},{"docid":"ff1a6ea5ef36e87cd5df3384f96efcbd","score":"0.53641653","text":"java.lang.String getComments();","title":""},{"docid":"ada7125ec2525baea171dc8d0ffeb186","score":"0.53551066","text":"public void setDatabaseComment(String databaseComment) {\n\t\t_sDatabaseComment = databaseComment;\n\t}","title":""},{"docid":"bf7b15da8d64982cbf6508203d5b14f7","score":"0.5354793","text":"public final String getComment() {\n return comment;\n }","title":""},{"docid":"55e285a3256047c79071f3cf9901b3f5","score":"0.53531736","text":"public boolean supportsEntityComments() { return true; }","title":""},{"docid":"24dbcfcf9abf99998af16a16c49c6b21","score":"0.53516847","text":"public interface CommentDao extends Dao<Comment> {\n /**\n * The constant COMMENT_ID.\n */\n String COMMENT_ID = \"comment_id\";\n /**\n * The constant COMMENT_CONTENT.\n */\n String COMMENT_CONTENT = \"comment_content\";\n /**\n * The constant LIFEHACK_ID.\n */\n String LIFEHACK_ID = \"lifehack_id\";\n /**\n * The constant POST_DATE.\n */\n String POST_DATE = \"post_date\";\n /**\n * The constant USER_ID.\n */\n String USER_ID = \"user_id\";\n /**\n * The constant COMMENT_LIKES_AMOUNT.\n */\n String COMMENT_LIKES_AMOUNT = \"comment_likes_amount\";\n\n\n /**\n * Find comments to lifehack list.\n *\n * @param id the id\n * @return the list\n * @throws DaoException the dao exception\n */\n List<Comment> findCommentsToLifeHack(long id) throws DaoException;\n\n /**\n * Insert user like comment.\n *\n * @param commentId the comment id\n * @param userId the user id\n * @throws DaoException the dao exception\n */\n void insertUserLikeComment(long commentId, long userId) throws DaoException;\n\n /**\n * Delete user like comment.\n *\n * @param lifeHackId the life hack id\n * @param userId the user id\n * @throws DaoException the dao exception\n */\n void deleteUserLikeComment(long lifeHackId, long userId) throws DaoException;\n\n /**\n * Is user liked comment already int.\n *\n * @param lifeHackId the life hack id\n * @param userId the user id\n * @return the int\n * @throws DaoException the dao exception\n */\n int isUserLikedCommentAlready(long lifeHackId, long userId) throws DaoException;\n\n /**\n * Decrement comment likes amount.\n *\n * @param lifeHackId the life hack id\n * @throws DaoException the dao exception\n */\n void decrementCommentLikes(long lifeHackId) throws DaoException;\n\n /**\n * Increment comment likes amount.\n *\n * @param id the id\n * @throws DaoException the dao exception\n */\n void incrementCommentLikes(long id) throws DaoException;\n\n /**\n * Find comments to lifehack sort by likes amount list.\n *\n * @param id the id\n * @return the list\n * @throws DaoException the dao exception\n */\n List<Comment> findCommentsToLifeHackSortByLikesAmount(long id) throws DaoException;\n\n @Override\n default Comment buildEntity(ResultSet resultSet) throws SQLException {\n Comment comment = new Comment();\n UserDao userDao = UserDaoImpl.getInstance();\n User user = userDao.buildEntity(resultSet);\n comment.setUser(user);\n comment.setCommentId(resultSet.getInt(COMMENT_ID));\n comment.setContent(resultSet.getString(COMMENT_CONTENT));\n comment.setLifeHackId(resultSet.getInt(LIFEHACK_ID));\n Timestamp timestamp = resultSet.getTimestamp(POST_DATE);\n comment.setPostDate(timestamp.getTime());\n comment.setUserId(resultSet.getLong(USER_ID));\n comment.setLikesAmount(resultSet.getInt(COMMENT_LIKES_AMOUNT));\n return comment;\n }\n\n @Override\n default void setPreparedStatement(PreparedStatement preparedStatement, Entity entity) throws SQLException {\n Comment comment = (Comment) entity;\n preparedStatement.setLong(1, comment.getUserId());\n preparedStatement.setLong(2, comment.getLifeHackId());\n preparedStatement.setString(3, comment.getContent());\n preparedStatement.setLong(4, comment.getLikesAmount());\n }\n}","title":""},{"docid":"dc2342b36ecd58a5dfd604c8af4d4bfa","score":"0.53458905","text":"public void setBookCommentId(Integer bookCommentId) {\n this.bookCommentId = bookCommentId;\n }","title":""},{"docid":"f4c844662f43a02e225f990984ac9f9f","score":"0.5343272","text":"protected void setDescriptionColumn(SQLUpdatableStatementIfc sql,\n OrderTransactionIfc orderTransaction)\n { // begin setDescriptionColumn()\n String description = null;\n AbstractTransactionLineItemIfc[] lineItems =\n orderTransaction.getLineItems();\n if (lineItems.length > 0)\n {\n description = lineItems[0].getItemDescription(LocaleMap.getLocale(LocaleMap.DEFAULT));\n }\n\n if (!Util.isEmpty(description))\n {\n sql.addColumn(ARTSDatabaseIfc.FIELD_ORDER_DESCRIPTION,\n makeSafeString(description));\n }\n\n }","title":""},{"docid":"6aa0bd23a86cfe35e139db234aa9751b","score":"0.5337939","text":"java.lang.String getCommentId();","title":""},{"docid":"d9f7077d32546fa5e20b9b462e19ddeb","score":"0.5333358","text":"public String description(){\n\t\treturn \"Mark: \" + mark + \"\\n\" + \"Comment: \" + comment;\n\t}","title":""},{"docid":"65c492ce06f0851e87cba2b956546a07","score":"0.5328868","text":"public java.lang.String getComment() {\r\n return comment;\r\n }","title":""},{"docid":"d8a5ca781a4b92296e1a16faaab8abe4","score":"0.5327881","text":"public List<Comment> showComment() {\n\t\treturn cdi.showComment();\n\t}","title":""},{"docid":"80b870f1ae2f9db27120143397c46c09","score":"0.5323821","text":"public String getAcCommentsFromtable() {\n return acCommentsFromtable;\n }","title":""},{"docid":"34a5016a517982d8ba56525c1dc4d639","score":"0.53217506","text":"org.hl7.fhir.String getComments();","title":""},{"docid":"6b77cdaa1d227b981918de5e73d8277c","score":"0.53205913","text":"public void setCommentId(int commentId);","title":""},{"docid":"f36eca314c4600704890ab0028bd3bd6","score":"0.531666","text":"public interface CommentDAO {\n\n List<Comment> getCommentsList(Cheese cheese);\n\n void insertComment(Comment comment, Cheese cheese, Address address);\n}","title":""},{"docid":"235b20aea97675f72ecb82073de81835","score":"0.53026783","text":"@Override\n public void insertComment(final Comment comment, final Cheese cheese, final Address address) {\n\n System.out.println(\"[JDBC] INSERT INTO Comments\\n\" +\n \"\\t(CheeseID, CustomerID, Text, Clock)\\n\" +\n \"\\tVALUES (\" + cheese.getId() + \", \" + address.getId() + \", \" +\n comment.getText() + \", date);\");\n\n final String query = \"INSERT INTO Comments \" +\n \"(CheeseID, CustomerID, Text, Clock) \" +\n \"VALUES (?, ?, ?, ?)\";\n\n KeyHolder holder = new GeneratedKeyHolder();\n\n jdbcTemplate.update(new PreparedStatementCreator() {\n @Override\n public PreparedStatement createPreparedStatement(Connection connection)\n throws SQLException {\n PreparedStatement statement = connection.prepareStatement(query, Statement.RETURN_GENERATED_KEYS);\n statement.setLong(1, cheese.getId());\n statement.setLong(2, address.getId());\n statement.setString(3, comment.getText());\n statement.setTimestamp(4, comment.getTime()); // База отбрасывает милисекунды\n return statement;\n }\n }, holder);\n\n comment.setId(holder.getKey().longValue());\n System.out.println(\"[JDBC] ID granted: \" + comment.getId());\n }","title":""},{"docid":"ad81f971009aca48e21ec2dd3fe7509a","score":"0.5301093","text":"public void setComment(final String newComment) {\n this.comment = newComment;\n }","title":""},{"docid":"07edea662115c429ac61e2bbd93caff3","score":"0.52976626","text":"public void postCommentInText(CapComments hp) {\n \t\t\t\tList<PictureStatus> pictures = (List<PictureStatus>) pictureRepo.findAll();\r\n \t\t\t\tcommentRepo.save(hp);\t\r\n \t\t\t}","title":""},{"docid":"ef1635e40c917b84ed8eb0d11c05c654","score":"0.5295393","text":"public Integer getCommentId() {\n return commentId;\n }","title":""},{"docid":"ef1635e40c917b84ed8eb0d11c05c654","score":"0.5295393","text":"public Integer getCommentId() {\n return commentId;\n }","title":""},{"docid":"efea40470a39aa3ffd8f921d7e974cab","score":"0.52953357","text":"public void testgetCommentForOfficerTitles() {\n \n CommentData data = affOfficerBean.getCommentForOfficerTitles(AFF_PK);\n if (data == null) {\n fail(\"No comments found\");\n }\n else { \n System.out.println(\"Comment: \" + data.getComment());\n }\n \n }","title":""},{"docid":"6cc4f7fb12d2fc0bdbe4390c13bbb2ff","score":"0.529409","text":"Commet selectByPrimaryKey(String commentId);","title":""},{"docid":"e4039d69ff038c02e41139b4a81a88d0","score":"0.52938664","text":"public void setComment(String comment) {\n\t\tthis.comment = comment;\n\t}","title":""},{"docid":"e4039d69ff038c02e41139b4a81a88d0","score":"0.52938664","text":"public void setComment(String comment) {\n\t\tthis.comment = comment;\n\t}","title":""},{"docid":"cee0789c81f88a98faddb5b69d62625b","score":"0.52920216","text":"FeiWenComment selectByPrimaryKey(String cid);","title":""},{"docid":"4568f62a7b9847906df28783839ca0b9","score":"0.52860564","text":"@Override\n\t/**\n\t * returns nothing because comments are disabled for classes\n\t * \n\t * @return nothing \n\t */\n\tpublic String getOriginalCommentName() {\n\t\treturn \"\";\n\t}","title":""},{"docid":"404e31a356155865a1842c9fecb0bb3c","score":"0.5276757","text":"public String getSampleComment();","title":""},{"docid":"5d66e2726964ba3d9448342a088a1484","score":"0.5275578","text":"public String getComment() {\n\t LogWriter.logMessage(LogWriter.TRACE_DEBUG,\"getComment() \" );\n Via via=(Via)sipHeader;\n return via.getComment();\n }","title":""}],"string":"[\n {\n \"docid\": \"53f50c8d54dc553630f8e7bb24074fb5\",\n \"score\": \"0.6818603\",\n \"text\": \"@Override\\n\\tpublic List<Comment> GetGoodsComment(Integer goodsid) {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6b126d21f5b965cf8d4f65b9b32c836a\",\n \"score\": \"0.6298311\",\n \"text\": \"public String getComment() throws SQLException {\\n\\t\\tloadFromDB();\\n\\t\\treturn rev_comment;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9e1e3158436a599636ac71bf9554584e\",\n \"score\": \"0.6157955\",\n \"text\": \"@Lob\\r\\n @Column (name=\\\"RECORD_COMMENT\\\")\\r\\n\\tpublic String getComment() {\\r\\n\\t\\treturn comment;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74b13c0a9147b51597dc473b3cb81b4d\",\n \"score\": \"0.6026815\",\n \"text\": \"public void setGoodsNote(String goodsNote) {\\n this.goodsNote = goodsNote;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"931f10fb867b630044ce0c75c181184c\",\n \"score\": \"0.60049486\",\n \"text\": \"String getComment() {\\n//\\t\\t\\tm1();\\n\\t\\t\\treturn \\\"small\\\";\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9e69573d8d70bda0b2110fdef0ec356b\",\n \"score\": \"0.5941774\",\n \"text\": \"public DatabaseCommentText() {\\n this.comments = new ArrayList<String>();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a5c3574c8cd4df2ab58e6c5df70e77b2\",\n \"score\": \"0.58820313\",\n \"text\": \"@Test\\n public void WriteCommentSuccess() {\\n Integer productID1 = store.getProductID(\\\"computer\\\");\\n tradingSystem.AddProductToCart(NconnID, storeID, productID1, 1);\\n tradingSystem.subscriberPurchase(NofetID, NconnID, \\\"123456789\\\", \\\"4\\\",\\\"2022\\\" , \\\"123\\\", \\\"123456789\\\", \\\"Rager 101\\\",\\\"Beer Sheva\\\",\\\"Israel\\\",\\\"8458527\\\");\\n\\n Response response = tradingSystem.WriteComment(NofetID,NconnID, storeID, productID1, \\\"Amazing\\\");\\n Assertions.assertFalse(response.getIsErr());\\n Integer size = store.getProduct(productID1).getComments().size();\\n Assertions.assertEquals(size, 1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e62fdba4de2dca0bf727fa7a08637ce2\",\n \"score\": \"0.58644515\",\n \"text\": \"public String getComment() {\\n return description;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9dfdbe692b1f0c09442036131ffcb022\",\n \"score\": \"0.5852257\",\n \"text\": \"@Override\\n\\tpublic String getDatabaseComment() {\\n\\t\\treturn _sDatabaseComment;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46fc54566dd56383d83c648b07a5b34c\",\n \"score\": \"0.5837519\",\n \"text\": \"public String getComment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46fc54566dd56383d83c648b07a5b34c\",\n \"score\": \"0.5837519\",\n \"text\": \"public String getComment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46fc54566dd56383d83c648b07a5b34c\",\n \"score\": \"0.5837519\",\n \"text\": \"public String getComment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46fc54566dd56383d83c648b07a5b34c\",\n \"score\": \"0.5837519\",\n \"text\": \"public String getComment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46fc54566dd56383d83c648b07a5b34c\",\n \"score\": \"0.5837519\",\n \"text\": \"public String getComment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46fc54566dd56383d83c648b07a5b34c\",\n \"score\": \"0.5837519\",\n \"text\": \"public String getComment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f32a6ee749c9239547cc1d2fa724147\",\n \"score\": \"0.5809132\",\n \"text\": \"public String getComment(){\\n return this.comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d4a76373c081415629c54364714d8548\",\n \"score\": \"0.5793548\",\n \"text\": \"public String getComment() {\\n\\t\\tif (comment != null)\\n\\t\\t\\treturn ProteomeXchangeFilev2_1.COM + TAB\\n\\t\\t\\t// + \\\"comment\\\" + TAB\\n\\t\\t\\t\\t\\t+ comment;\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"21a69fc69a2baff5606a39378d59b696\",\n \"score\": \"0.57674676\",\n \"text\": \"public String getGoodsNote() {\\n return goodsNote;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ad58d57be2889ef0b6c6c7848789620\",\n \"score\": \"0.57473004\",\n \"text\": \"public void setComment(String new_comment){\\n this.comment=new_comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"364dca378742d193d9922e468755e82f\",\n \"score\": \"0.57262236\",\n \"text\": \"public void insert(Comment com){\\n //@todo implement method\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0841b752c14197e5a258622df3c0c83e\",\n \"score\": \"0.57124156\",\n \"text\": \"public String getComment() {\\n return comment ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b4841bfd806a77349e49fee9ce3c704\",\n \"score\": \"0.5712052\",\n \"text\": \"public int getCommentId();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a69846813e97e44875ab1eb0e62f8816\",\n \"score\": \"0.569055\",\n \"text\": \"public String getComment(){\\n return comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23392809e92c06a2e97e8d3f2989213f\",\n \"score\": \"0.5687622\",\n \"text\": \"public String getComment() {\\n \\t\\t\\t\\t\\t\\t\\t\\t\\treturn null;\\n \\t\\t\\t\\t\\t\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"57f5de516d6424976de47d386519f793\",\n \"score\": \"0.56811255\",\n \"text\": \"public void setComment(String comment){\\n this.comment = comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14aedf6d72fc5b93e11feb63c4c6d82b\",\n \"score\": \"0.5680747\",\n \"text\": \"public void setComment(String comment) {\\n this.comment = comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79cf9d9572d15fdba0f133aeab9b8510\",\n \"score\": \"0.5675806\",\n \"text\": \"void saveComment(Comment.SavableComment comment) throws SQLException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99563afa920f0256ec5271cbf277d8ef\",\n \"score\": \"0.56648463\",\n \"text\": \"public String getComment() {\\n return this.comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8bb2a1b61dbe29022a8054839d17a12b\",\n \"score\": \"0.5657244\",\n \"text\": \"public java.lang.String getHopscomment() throws java.rmi.RemoteException, javax.ejb.CreateException, javax.ejb.FinderException, javax.naming.NamingException {\\n return (((java.lang.String) __getCache(\\\"hopscomment\\\")));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd434db929c114b040903ca334cdca22\",\n \"score\": \"0.5650708\",\n \"text\": \"org.hl7.fhir.String addNewComments();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f893ec1a60f167f7d631ef156dd14510\",\n \"score\": \"0.5642053\",\n \"text\": \"String getComment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f893ec1a60f167f7d631ef156dd14510\",\n \"score\": \"0.5642053\",\n \"text\": \"String getComment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"54bc5645e22105af1f855ceeb45dbfb2\",\n \"score\": \"0.56080073\",\n \"text\": \"public String getComment() {\\r\\n\\t\\treturn comment;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"092ebba48e50fc98172d4531e85437cc\",\n \"score\": \"0.55878496\",\n \"text\": \"public String getComment() {\\n return comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"092ebba48e50fc98172d4531e85437cc\",\n \"score\": \"0.55878496\",\n \"text\": \"public String getComment() {\\n return comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"092ebba48e50fc98172d4531e85437cc\",\n \"score\": \"0.55878496\",\n \"text\": \"public String getComment() {\\n return comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"092ebba48e50fc98172d4531e85437cc\",\n \"score\": \"0.55878496\",\n \"text\": \"public String getComment() {\\n return comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"092ebba48e50fc98172d4531e85437cc\",\n \"score\": \"0.55878496\",\n \"text\": \"public String getComment() {\\n return comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"092ebba48e50fc98172d4531e85437cc\",\n \"score\": \"0.55878496\",\n \"text\": \"public String getComment() {\\n return comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"092ebba48e50fc98172d4531e85437cc\",\n \"score\": \"0.55878496\",\n \"text\": \"public String getComment() {\\n return comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9c06a8d69ea702d8d94930398f1391f7\",\n \"score\": \"0.55704296\",\n \"text\": \"public String getComment()\\n {\\n return comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f1343ada6904e48f49ef0c03ca1e0a8\",\n \"score\": \"0.5551672\",\n \"text\": \"void addNewComment(BlogComment comment) throws DAOException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"57eaa7663c46fa6d00a2402c49fd619f\",\n \"score\": \"0.5549713\",\n \"text\": \"@Override\\n public void comment(String comment)\\n {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80c98c9d9f001681512c705247b2e5aa\",\n \"score\": \"0.55451417\",\n \"text\": \"public Integer getBookCommentId() {\\n return bookCommentId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6df9e7f6db799a81b6ad9850dc93130e\",\n \"score\": \"0.55238724\",\n \"text\": \"public void setComment(String comment)\\n {\\n this.comment = comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b76bd686703ce8fe3dd0d596c0cd979\",\n \"score\": \"0.5519771\",\n \"text\": \"public void setComment(String c) {\\n comment = c ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"48dbdda0415dd454fe884964e3931606\",\n \"score\": \"0.55167896\",\n \"text\": \"@Override\\r\\n public String toString() {\\r\\n return \\\"com.abbt.training.persistence.ContactedUsComments[id=\\\" + id + \\\"]\\\";\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4464202aa362b0519e6098fc34024f6e\",\n \"score\": \"0.551532\",\n \"text\": \"public String getComment() {\\n\\t\\treturn comment;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4464202aa362b0519e6098fc34024f6e\",\n \"score\": \"0.551532\",\n \"text\": \"public String getComment() {\\n\\t\\treturn comment;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"354acc8344740d996481f39068332a73\",\n \"score\": \"0.55128783\",\n \"text\": \"@Override\\n\\tpublic void comment() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"01c3828a4a2716a904b970887630a10c\",\n \"score\": \"0.5500338\",\n \"text\": \"public String getBookComment() {\\n return bookComment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"01c3828a4a2716a904b970887630a10c\",\n \"score\": \"0.5500338\",\n \"text\": \"public String getBookComment() {\\n return bookComment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"18db374bf5170ac85abee17662b4a855\",\n \"score\": \"0.5500256\",\n \"text\": \"Comment getBase_Comment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5525dffe9b9d51d033ff7270fbcb3ac2\",\n \"score\": \"0.5498514\",\n \"text\": \"public String getColumnComment(int pos) { return columns[pos].getComment(); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"33c555ef3e639751ecb3a76a01e388da\",\n \"score\": \"0.5495921\",\n \"text\": \"public void comment(String data);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a93f014167756c066ce793b57f94de33\",\n \"score\": \"0.54864323\",\n \"text\": \"public void setComment(String comment) {\\n this.comment = comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f3621af3cfb3c428e1d680339b8e31a\",\n \"score\": \"0.5481126\",\n \"text\": \"@Override\\n public List<NutricionistComment> findAllComments() {\\n return nutricionistCommentDAO.findAllComments();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a715c7673553d954394b3dbcacf06bfa\",\n \"score\": \"0.5480608\",\n \"text\": \"public void addCommentField(String comment, boolean italics) {\\n Label commentLabel = new Label(getComposite(), SWT.LEFT | SWT.WRAP);\\n commentLabel.setText(comment);\\n if (italics) {\\n commentLabel.setFont(getCommentFont());\\n }\\n TableWrapData layoutData = TableWrapLayoutHelper.createLayoutData(true, false, TableWrapData.FILL,\\n TableWrapData.FILL);\\n layoutData.colspan = 4;\\n layoutData.rowspan = 1;\\n layoutData.maxWidth = 200;\\n commentLabel.setLayoutData(layoutData);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de6dfab118180507839a1725527b0eb5\",\n \"score\": \"0.5477178\",\n \"text\": \"public void setComment(String comment);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de6dfab118180507839a1725527b0eb5\",\n \"score\": \"0.5477178\",\n \"text\": \"public void setComment(String comment);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73b34e49df36b62960b7529dc79941e8\",\n \"score\": \"0.5467032\",\n \"text\": \"@Override\\n\\tpublic String getComment() {\\n\\t\\treturn model.getComment();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"946536b4cbc6b33ecad3b60732f2fbb9\",\n \"score\": \"0.54638666\",\n \"text\": \"public void setComment(String comment) {\\n this.comment = comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"946536b4cbc6b33ecad3b60732f2fbb9\",\n \"score\": \"0.54638666\",\n \"text\": \"public void setComment(String comment) {\\n this.comment = comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91b65f3024f860aff8703cbebbc3c517\",\n \"score\": \"0.54618996\",\n \"text\": \"public String getGoodsRemark() {\\n return goodsRemark;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39e42b4dac01302b7f1b70e80f47135a\",\n \"score\": \"0.5445194\",\n \"text\": \"protected GoodsCommentExample(GoodsCommentExample example) {\\n\\t\\tthis.orderByClause = example.orderByClause;\\n\\t\\tthis.oredCriteria = example.oredCriteria;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6dff47a7b8177a31d820ac74ce8eba83\",\n \"score\": \"0.54414093\",\n \"text\": \"public ProductComments getProductCommentById(int commentId) {\\n ProductComments productComment = null;\\n Session session = getSession();\\n try {\\n //Tao query tim comment moi den cu\\n Query query = session.createQuery(\\\"from ProductComments where commentId=:commentId and isDisabled = false\\\");\\n //Gan gia tri cho query\\n query.setInteger(\\\"commentId\\\", commentId);\\n productComment = (ProductComments)query.uniqueResult();\\n session.getTransaction().commit();\\n } catch (Exception e) {\\n e.printStackTrace();\\n session.getTransaction().rollback();\\n }\\n //dong session\\n session.close();\\n return productComment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99b6a849a44352420ea4b791f37c9dce\",\n \"score\": \"0.5436176\",\n \"text\": \"public Long getCommentId() {\\n return commentId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc1d624eb45029c1e60cc6b3a922929f\",\n \"score\": \"0.5432517\",\n \"text\": \"public static String commentTag(CommentUnit comment) {\\n\\t\\treturn \\\"\\\\t\\\\t\\\\t<comm cntt=\\\\\\\"\\\" + comment.toString() + \\\"\\\\\\\"/>\\\\n\\\";\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"01b5cdd0fe75b6270a58f1fffa90400f\",\n \"score\": \"0.5424393\",\n \"text\": \"@Override\\n\\t/**\\n\\t * does nothing because comments are disabled for classes \\n\\t */\\n\\tpublic void setItemHavingComment() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87e1cd5acaee19a3f3cda3152622dcf6\",\n \"score\": \"0.54227\",\n \"text\": \"private void interpretComments() throws IOException {\\n trimLines( comments );\\n \\n /* Try to interpret the last remaining comment line as a set of\\n * column headings. */\\n if ( comments.size() > 0 ) {\\n String hline = (String) comments.get( comments.size() - 1 );\\n List headings = readHeadings( new PushbackInputStream( \\n new ByteArrayInputStream( hline.getBytes() ) ) );\\n \\n /* If this line looks like a set of headings (there are the\\n * right number of fields) modify the colinfos accordingly and\\n * remove it from the set of comments. */\\n if ( headings.size() == ncol ) {\\n comments.remove( comments.size() - 1 );\\n for ( int i = 0; i < ncol; i++ ) {\\n colinfos[ i ].setName( (String) headings.get( i ) );\\n }\\n trimLines( comments );\\n }\\n }\\n \\n /* If there are any other comment lines, concatenate them and bung\\n * them into a description parameter. */\\n if ( comments.size() > 0 ) {\\n StringBuffer dbuf = new StringBuffer();\\n for ( Iterator it = comments.iterator(); it.hasNext(); ) {\\n dbuf.append( (String) it.next() );\\n if ( it.hasNext() ) {\\n dbuf.append( '\\\\n' );\\n }\\n }\\n ValueInfo descriptionInfo =\\n new DefaultValueInfo( \\\"Description\\\", String.class,\\n \\\"Comments included in text file\\\" );\\n parameters.add( new DescribedValue( descriptionInfo, \\n dbuf.toString() ) );\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2b46eb2f6b7b0789f4da4eba18faca81\",\n \"score\": \"0.53839576\",\n \"text\": \"@Override\\n\\tpublic String toString() {\\n\\t\\treturn \\\"Comment [id=\\\" + id + \\\", comment=\\\" + comment + \\\", user=\\\" + user\\n\\t\\t\\t\\t+ \\\", entity=\\\" + entity + \\\", entityId=\\\" + entityId\\n\\t\\t\\t\\t+ \\\", parrent=\\\" + parrent + \\\", likes=\\\" + likes + \\\"]\\\";\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91435e2b638c370b70eb5b45fc5058fa\",\n \"score\": \"0.5369158\",\n \"text\": \"private void addCotationAndComment(){\\n contentTable = new PdfPTable(1);\\n table = new PdfPTable(5);\\n\\n //*** cotation ***\\n Vector items = new Vector();\\n items.add(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_OEIL_RIGHT\\\");\\n items.add(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_OEIL_LEFT\\\");\\n items.add(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_MAIN_RIGHT\\\");\\n items.add(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_MAIN_LEFT\\\");\\n items.add(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_PIED_RIGHT\\\");\\n items.add(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_PIED_LEFT\\\");\\n items.add(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_TOTAL_RIGHT\\\");\\n items.add(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_TOTAL_LEFT\\\");\\n\\n if(verifyList(items)){\\n\\n // title\\n table.addCell(createItemNameCell(getTran(\\\"leprosy\\\",\\\"cotationdesinfirmites\\\"),2));\\n\\n // dedicated table\\n PdfPTable cotationTable = new PdfPTable(8);\\n\\n // header\\n cotationTable.addCell(emptyCell(2));\\n cotationTable.addCell(createHeaderCell(getTran(\\\"web\\\",\\\"right\\\"),3));\\n cotationTable.addCell(createHeaderCell(getTran(\\\"web\\\",\\\"left\\\"),3));\\n\\n //***** row 1 : Oeil *****\\n cell = createHeaderCell(getTran(\\\"leprosy\\\",\\\"oeil\\\"),2);\\n cell.setHorizontalAlignment(PdfPCell.ALIGN_LEFT);\\n cotationTable.addCell(cell);\\n itemValue = getItemValue(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_OEIL_RIGHT\\\");\\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\\\"leprosy\\\",\\\"oeil_\\\"+itemValue).toLowerCase():\\\"\\\"),3));\\n itemValue = getItemValue(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_OEIL_LEFT\\\");\\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\\\"leprosy\\\",\\\"oeil_\\\"+itemValue).toLowerCase():\\\"\\\"),3));\\n\\n //***** row 2 : Main *****\\n cell = createHeaderCell(getTran(\\\"leprosy\\\",\\\"main\\\"),2);\\n cell.setHorizontalAlignment(PdfPCell.ALIGN_LEFT);\\n cotationTable.addCell(cell);\\n itemValue = getItemValue(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_MAIN_RIGHT\\\");\\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\\\"leprosy\\\",\\\"main_\\\"+itemValue).toLowerCase():\\\"\\\"),3));\\n itemValue = getItemValue(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_MAIN_LEFT\\\");\\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\\\"leprosy\\\",\\\"main_\\\"+itemValue).toLowerCase():\\\"\\\"),3));\\n\\n //***** row 3 : Pied *****\\n cell = createHeaderCell(getTran(\\\"leprosy\\\",\\\"pied\\\"),2);\\n cell.setHorizontalAlignment(PdfPCell.ALIGN_LEFT);\\n cotationTable.addCell(cell);\\n itemValue = getItemValue(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_PIED_RIGHT\\\");\\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\\\"leprosy\\\",\\\"pied_\\\"+itemValue).toLowerCase():\\\"\\\"),3));\\n itemValue = getItemValue(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_PIED_LEFT\\\");\\n cotationTable.addCell(createValueCell((itemValue.length()>0?getTran(\\\"leprosy\\\",\\\"pied_\\\"+itemValue).toLowerCase():\\\"\\\"),3));\\n\\n //***** row 4 : Totals *****\\n cell = createHeaderCell(getTran(\\\"web\\\",\\\"total\\\"),2);\\n cell.setHorizontalAlignment(PdfPCell.ALIGN_LEFT);\\n cotationTable.addCell(cell);\\n itemValue = getItemValue(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_TOTAL_RIGHT\\\");\\n cotationTable.addCell(createValueCell(itemValue,3));\\n itemValue = getItemValue(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COTATION_TOTAL_LEFT\\\");\\n cotationTable.addCell(createValueCell(itemValue,3));\\n\\n // add cotationTable\\n cell = createCell(new PdfPCell(cotationTable),3,PdfPCell.ALIGN_CENTER,PdfPCell.BOX);\\n cell.setColspan(5);\\n cell.setPadding(3);\\n table.addCell(cell);\\n }\\n\\n //*** commet ***\\n itemValue = getItemValue(IConstants_PREFIX+\\\"ITEM_TYPE_LEPROSYBEGIN_COMMENT\\\");\\n if(itemValue.length() > 0){\\n addItemRow(table,getTran(\\\"Web\\\",\\\"comment\\\"),itemValue);\\n }\\n\\n // add table to transaction\\n if(table.size() > 0){\\n if(contentTable.size() > 0) contentTable.addCell(emptyCell());\\n contentTable.addCell(createCell(new PdfPCell(table),1,PdfPCell.ALIGN_CENTER,PdfPCell.NO_BORDER));\\n tranTable.addCell(new PdfPCell(contentTable));\\n addTransactionToDoc();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a7357a1aac56038271f59124706d13a\",\n \"score\": \"0.53672695\",\n \"text\": \"@Override\\n public void addModelClassComment(TopLevelClass topLevelClass, IntrospectedTable introspectedTable) {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff1a6ea5ef36e87cd5df3384f96efcbd\",\n \"score\": \"0.53641653\",\n \"text\": \"java.lang.String getComments();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ada7125ec2525baea171dc8d0ffeb186\",\n \"score\": \"0.53551066\",\n \"text\": \"public void setDatabaseComment(String databaseComment) {\\n\\t\\t_sDatabaseComment = databaseComment;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf7b15da8d64982cbf6508203d5b14f7\",\n \"score\": \"0.5354793\",\n \"text\": \"public final String getComment() {\\n return comment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"55e285a3256047c79071f3cf9901b3f5\",\n \"score\": \"0.53531736\",\n \"text\": \"public boolean supportsEntityComments() { return true; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"24dbcfcf9abf99998af16a16c49c6b21\",\n \"score\": \"0.53516847\",\n \"text\": \"public interface CommentDao extends Dao<Comment> {\\n /**\\n * The constant COMMENT_ID.\\n */\\n String COMMENT_ID = \\\"comment_id\\\";\\n /**\\n * The constant COMMENT_CONTENT.\\n */\\n String COMMENT_CONTENT = \\\"comment_content\\\";\\n /**\\n * The constant LIFEHACK_ID.\\n */\\n String LIFEHACK_ID = \\\"lifehack_id\\\";\\n /**\\n * The constant POST_DATE.\\n */\\n String POST_DATE = \\\"post_date\\\";\\n /**\\n * The constant USER_ID.\\n */\\n String USER_ID = \\\"user_id\\\";\\n /**\\n * The constant COMMENT_LIKES_AMOUNT.\\n */\\n String COMMENT_LIKES_AMOUNT = \\\"comment_likes_amount\\\";\\n\\n\\n /**\\n * Find comments to lifehack list.\\n *\\n * @param id the id\\n * @return the list\\n * @throws DaoException the dao exception\\n */\\n List<Comment> findCommentsToLifeHack(long id) throws DaoException;\\n\\n /**\\n * Insert user like comment.\\n *\\n * @param commentId the comment id\\n * @param userId the user id\\n * @throws DaoException the dao exception\\n */\\n void insertUserLikeComment(long commentId, long userId) throws DaoException;\\n\\n /**\\n * Delete user like comment.\\n *\\n * @param lifeHackId the life hack id\\n * @param userId the user id\\n * @throws DaoException the dao exception\\n */\\n void deleteUserLikeComment(long lifeHackId, long userId) throws DaoException;\\n\\n /**\\n * Is user liked comment already int.\\n *\\n * @param lifeHackId the life hack id\\n * @param userId the user id\\n * @return the int\\n * @throws DaoException the dao exception\\n */\\n int isUserLikedCommentAlready(long lifeHackId, long userId) throws DaoException;\\n\\n /**\\n * Decrement comment likes amount.\\n *\\n * @param lifeHackId the life hack id\\n * @throws DaoException the dao exception\\n */\\n void decrementCommentLikes(long lifeHackId) throws DaoException;\\n\\n /**\\n * Increment comment likes amount.\\n *\\n * @param id the id\\n * @throws DaoException the dao exception\\n */\\n void incrementCommentLikes(long id) throws DaoException;\\n\\n /**\\n * Find comments to lifehack sort by likes amount list.\\n *\\n * @param id the id\\n * @return the list\\n * @throws DaoException the dao exception\\n */\\n List<Comment> findCommentsToLifeHackSortByLikesAmount(long id) throws DaoException;\\n\\n @Override\\n default Comment buildEntity(ResultSet resultSet) throws SQLException {\\n Comment comment = new Comment();\\n UserDao userDao = UserDaoImpl.getInstance();\\n User user = userDao.buildEntity(resultSet);\\n comment.setUser(user);\\n comment.setCommentId(resultSet.getInt(COMMENT_ID));\\n comment.setContent(resultSet.getString(COMMENT_CONTENT));\\n comment.setLifeHackId(resultSet.getInt(LIFEHACK_ID));\\n Timestamp timestamp = resultSet.getTimestamp(POST_DATE);\\n comment.setPostDate(timestamp.getTime());\\n comment.setUserId(resultSet.getLong(USER_ID));\\n comment.setLikesAmount(resultSet.getInt(COMMENT_LIKES_AMOUNT));\\n return comment;\\n }\\n\\n @Override\\n default void setPreparedStatement(PreparedStatement preparedStatement, Entity entity) throws SQLException {\\n Comment comment = (Comment) entity;\\n preparedStatement.setLong(1, comment.getUserId());\\n preparedStatement.setLong(2, comment.getLifeHackId());\\n preparedStatement.setString(3, comment.getContent());\\n preparedStatement.setLong(4, comment.getLikesAmount());\\n }\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dc2342b36ecd58a5dfd604c8af4d4bfa\",\n \"score\": \"0.53458905\",\n \"text\": \"public void setBookCommentId(Integer bookCommentId) {\\n this.bookCommentId = bookCommentId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f4c844662f43a02e225f990984ac9f9f\",\n \"score\": \"0.5343272\",\n \"text\": \"protected void setDescriptionColumn(SQLUpdatableStatementIfc sql,\\n OrderTransactionIfc orderTransaction)\\n { // begin setDescriptionColumn()\\n String description = null;\\n AbstractTransactionLineItemIfc[] lineItems =\\n orderTransaction.getLineItems();\\n if (lineItems.length > 0)\\n {\\n description = lineItems[0].getItemDescription(LocaleMap.getLocale(LocaleMap.DEFAULT));\\n }\\n\\n if (!Util.isEmpty(description))\\n {\\n sql.addColumn(ARTSDatabaseIfc.FIELD_ORDER_DESCRIPTION,\\n makeSafeString(description));\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6aa0bd23a86cfe35e139db234aa9751b\",\n \"score\": \"0.5337939\",\n \"text\": \"java.lang.String getCommentId();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9f7077d32546fa5e20b9b462e19ddeb\",\n \"score\": \"0.5333358\",\n \"text\": \"public String description(){\\n\\t\\treturn \\\"Mark: \\\" + mark + \\\"\\\\n\\\" + \\\"Comment: \\\" + comment;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65c492ce06f0851e87cba2b956546a07\",\n \"score\": \"0.5328868\",\n \"text\": \"public java.lang.String getComment() {\\r\\n return comment;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d8a5ca781a4b92296e1a16faaab8abe4\",\n \"score\": \"0.5327881\",\n \"text\": \"public List<Comment> showComment() {\\n\\t\\treturn cdi.showComment();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80b870f1ae2f9db27120143397c46c09\",\n \"score\": \"0.5323821\",\n \"text\": \"public String getAcCommentsFromtable() {\\n return acCommentsFromtable;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"34a5016a517982d8ba56525c1dc4d639\",\n \"score\": \"0.53217506\",\n \"text\": \"org.hl7.fhir.String getComments();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6b77cdaa1d227b981918de5e73d8277c\",\n \"score\": \"0.53205913\",\n \"text\": \"public void setCommentId(int commentId);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f36eca314c4600704890ab0028bd3bd6\",\n \"score\": \"0.531666\",\n \"text\": \"public interface CommentDAO {\\n\\n List<Comment> getCommentsList(Cheese cheese);\\n\\n void insertComment(Comment comment, Cheese cheese, Address address);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"235b20aea97675f72ecb82073de81835\",\n \"score\": \"0.53026783\",\n \"text\": \"@Override\\n public void insertComment(final Comment comment, final Cheese cheese, final Address address) {\\n\\n System.out.println(\\\"[JDBC] INSERT INTO Comments\\\\n\\\" +\\n \\\"\\\\t(CheeseID, CustomerID, Text, Clock)\\\\n\\\" +\\n \\\"\\\\tVALUES (\\\" + cheese.getId() + \\\", \\\" + address.getId() + \\\", \\\" +\\n comment.getText() + \\\", date);\\\");\\n\\n final String query = \\\"INSERT INTO Comments \\\" +\\n \\\"(CheeseID, CustomerID, Text, Clock) \\\" +\\n \\\"VALUES (?, ?, ?, ?)\\\";\\n\\n KeyHolder holder = new GeneratedKeyHolder();\\n\\n jdbcTemplate.update(new PreparedStatementCreator() {\\n @Override\\n public PreparedStatement createPreparedStatement(Connection connection)\\n throws SQLException {\\n PreparedStatement statement = connection.prepareStatement(query, Statement.RETURN_GENERATED_KEYS);\\n statement.setLong(1, cheese.getId());\\n statement.setLong(2, address.getId());\\n statement.setString(3, comment.getText());\\n statement.setTimestamp(4, comment.getTime()); // База отбрасывает милисекунды\\n return statement;\\n }\\n }, holder);\\n\\n comment.setId(holder.getKey().longValue());\\n System.out.println(\\\"[JDBC] ID granted: \\\" + comment.getId());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad81f971009aca48e21ec2dd3fe7509a\",\n \"score\": \"0.5301093\",\n \"text\": \"public void setComment(final String newComment) {\\n this.comment = newComment;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"07edea662115c429ac61e2bbd93caff3\",\n \"score\": \"0.52976626\",\n \"text\": \"public void postCommentInText(CapComments hp) {\\n \\t\\t\\t\\tList<PictureStatus> pictures = (List<PictureStatus>) pictureRepo.findAll();\\r\\n \\t\\t\\t\\tcommentRepo.save(hp);\\t\\r\\n \\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef1635e40c917b84ed8eb0d11c05c654\",\n \"score\": \"0.5295393\",\n \"text\": \"public Integer getCommentId() {\\n return commentId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef1635e40c917b84ed8eb0d11c05c654\",\n \"score\": \"0.5295393\",\n \"text\": \"public Integer getCommentId() {\\n return commentId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efea40470a39aa3ffd8f921d7e974cab\",\n \"score\": \"0.52953357\",\n \"text\": \"public void testgetCommentForOfficerTitles() {\\n \\n CommentData data = affOfficerBean.getCommentForOfficerTitles(AFF_PK);\\n if (data == null) {\\n fail(\\\"No comments found\\\");\\n }\\n else { \\n System.out.println(\\\"Comment: \\\" + data.getComment());\\n }\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6cc4f7fb12d2fc0bdbe4390c13bbb2ff\",\n \"score\": \"0.529409\",\n \"text\": \"Commet selectByPrimaryKey(String commentId);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e4039d69ff038c02e41139b4a81a88d0\",\n \"score\": \"0.52938664\",\n \"text\": \"public void setComment(String comment) {\\n\\t\\tthis.comment = comment;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e4039d69ff038c02e41139b4a81a88d0\",\n \"score\": \"0.52938664\",\n \"text\": \"public void setComment(String comment) {\\n\\t\\tthis.comment = comment;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cee0789c81f88a98faddb5b69d62625b\",\n \"score\": \"0.52920216\",\n \"text\": \"FeiWenComment selectByPrimaryKey(String cid);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4568f62a7b9847906df28783839ca0b9\",\n \"score\": \"0.52860564\",\n \"text\": \"@Override\\n\\t/**\\n\\t * returns nothing because comments are disabled for classes\\n\\t * \\n\\t * @return nothing \\n\\t */\\n\\tpublic String getOriginalCommentName() {\\n\\t\\treturn \\\"\\\";\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"404e31a356155865a1842c9fecb0bb3c\",\n \"score\": \"0.5276757\",\n \"text\": \"public String getSampleComment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5d66e2726964ba3d9448342a088a1484\",\n \"score\": \"0.5275578\",\n \"text\": \"public String getComment() {\\n\\t LogWriter.logMessage(LogWriter.TRACE_DEBUG,\\\"getComment() \\\" );\\n Via via=(Via)sipHeader;\\n return via.getComment();\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":983398,"cells":{"query_id":{"kind":"string","value":"6c6c7308fdb9d27ae32ac3bf3c66fd82"},"query":{"kind":"string","value":"Inflate the menu options from the res/menu/menu_editor.xml file. This adds menu items to the app bar."},"positive_passages":{"kind":"list like","value":[{"docid":"5c401935871f34e2efef01928064d652","score":"0.7287841","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.editor_menu, menu);\n return true;\n }","title":""}],"string":"[\n {\n \"docid\": \"5c401935871f34e2efef01928064d652\",\n \"score\": \"0.7287841\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.editor_menu, menu);\\n return true;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"14a9bfb6ccbfb276db781c43f6033d3f","score":"0.7544708","text":"@Override\npublic boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_editor, menu);\n return true;\n}","title":""},{"docid":"99266da50d63656eaaa3fe451a87a5fa","score":"0.73051775","text":"@ Override\n\tpublic boolean onCreateOptionsMenu(Menu menu)\n\t{\n\t\tgetMenuInflater().inflate(R.menu.meme_editor, menu);\n\t\treturn true;\n\t}","title":""},{"docid":"efe5a2edec299db039776844cc3b3150","score":"0.72933537","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.editor, menu);\n return true;\n }","title":""},{"docid":"6199d46e4f6aa1e7b4304e98ad6d6a2f","score":"0.72673595","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_editor, menu);\n return true;\n }","title":""},{"docid":"6199d46e4f6aa1e7b4304e98ad6d6a2f","score":"0.72673595","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_editor, menu);\n return true;\n }","title":""},{"docid":"6199d46e4f6aa1e7b4304e98ad6d6a2f","score":"0.72673595","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_editor, menu);\n return true;\n }","title":""},{"docid":"6199d46e4f6aa1e7b4304e98ad6d6a2f","score":"0.72673595","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_editor, menu);\n return true;\n }","title":""},{"docid":"6199d46e4f6aa1e7b4304e98ad6d6a2f","score":"0.72673595","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_editor, menu);\n return true;\n }","title":""},{"docid":"6199d46e4f6aa1e7b4304e98ad6d6a2f","score":"0.72673595","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_editor, menu);\n return true;\n }","title":""},{"docid":"a367ced267a9d60bfc8a3c4cd1688681","score":"0.7210393","text":"@Override\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tgetMenuInflater().inflate(R.menu.activity_t_editor, menu);\n\t\treturn true;\n\t}","title":""},{"docid":"09a0447745e60bfd7cd6109969948feb","score":"0.7178907","text":"@Override\r\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\r\n\t\tMenuInflater inflater = getMenuInflater();\r\n\t\tinflater.inflate(R.layout.menu, menu);\r\n\t\t// Show appropriate settings for user/editor interface\r\n\t\tBoolean isEditor = prefs.getBoolean(\"isEditor\", false);\r\n\t\tif(!isEditor) {\r\n\t\t\t// Remove editor buttons to make room for child buttons\r\n\t\t\tmenu.removeItem(R.id.menu_view_menu);\r\n\t\t\tmenu.removeItem(R.id.menu_view_folder);\r\n\t\t\tmenu.removeItem(R.id.menu_view_icon);\r\n\t\t\tmenu.removeItem(R.id.menu_view_pic);\r\n\t\t\tmenu.removeItem(R.id.menu_view_vid);\r\n\t\t\tmenu.removeItem(R.id.menu_create_new);\r\n\t\t\tmenu.removeItem(R.id.menu_options);\r\n\t\t\t// Show the whole menu button if in view menu\r\n\t\t\tif(getLocalClassName().equals(\"ViewMenu\")) {\r\n\t\t\t\tmenu.findItem(R.id.menu_whole_menu).setVisible(true);\r\n\t\t\t} else {\r\n\t\t\t\tmenu.findItem(R.id.menu_whole_menu).setVisible(false);\r\n\t\t\t}\r\n\t\t\t// Show the view menu button if in whole menu\r\n\t\t\tif(getLocalClassName().equals(\"WholeMenu\")) {\r\n\t\t\t\tmenu.findItem(R.id.child_menu_view_menu).setVisible(true);\r\n\t\t\t} else {\r\n\t\t\t\tmenu.findItem(R.id.child_menu_view_menu).setVisible(false);\r\n\t\t\t}\r\n\r\n\t\t} else {\r\n\t\t\t// Show the view menu archive button\r\n\t\t\tmenu.findItem(R.id.menu_view_menu).setVisible(true);\r\n\t\t\t// Show the view folder archive button\r\n\t\t\tmenu.findItem(R.id.menu_view_folder).setVisible(true);\r\n\t\t\t// Show the view icon archive button\r\n\t\t\tmenu.findItem(R.id.menu_view_icon).setVisible(true);\r\n\t\t\t// Show the view picture archive button\r\n\t\t\tmenu.findItem(R.id.menu_view_pic).setVisible(true);\r\n\t\t\t// Show the view video archive button\r\n\t\t\tmenu.findItem(R.id.menu_view_vid).setVisible(true);\r\n\t\t\t// Show the create new button\r\n\t\t\tmenu.findItem(R.id.menu_create_new).setVisible(true);\r\n\t\t\t// Show the options button\r\n\t\t\tmenu.findItem(R.id.menu_options).setVisible(true);\r\n\t\t\t// Hide the whole menu button\r\n\t\t\tmenu.findItem(R.id.menu_whole_menu).setVisible(false);\r\n\t\t\t// Hide the view menu button\r\n\t\t\tmenu.findItem(R.id.child_menu_view_menu).setVisible(false);\r\n\t\t}\r\n\t\treturn true;\r\n\t}","title":""},{"docid":"238c34b5b1c89d34a2d8e2e54f0f83f5","score":"0.7154276","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_editor, menu);\n Log.d(\"message\", \"open EditorActivity\");\n return true;\n }","title":""},{"docid":"819e26532d3751b85ceeba928d9aae3e","score":"0.70638597","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n \tMenuInflater inflater = getMenuInflater();\n \tinflater.inflate(R.menu.item_edit_actions, menu);\n \treturn super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"1cbffe2e34bbb0b9257e3f0e1db9212c","score":"0.69708973","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_exercise_editor, menu);\n return true;\n }","title":""},{"docid":"79c4ef1bd4edfc514b03e1b36a332d48","score":"0.6861462","text":"@Override\n\tpublic void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n\t\tsuper.onCreateOptionsMenu(menu, inflater);\n\t\tinflater.inflate(R.menu.save_menu, menu);\n\t}","title":""},{"docid":"041c4e863d836a970966c068afbc2415","score":"0.68257374","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.rule_editor_screen, menu);\n return true;\n }","title":""},{"docid":"4b36d48056e1fc207a0175042724a8f6","score":"0.6795277","text":"@Override\n\tpublic boolean onCreateOptionsMenu(Menu menu)\n\t{\n\t\tgetMenuInflater().inflate(R.menu.layout_edit, menu);\n\t\treturn true;\n\t}","title":""},{"docid":"3a67cf677ec7ff8f550aa43b49e41868","score":"0.6744652","text":"@Override\r\n\tpublic boolean onCreateOptionsMenu(android.view.Menu menu) {\n\t\tsuper.onCreateOptionsMenu(menu);\r\n\t\tMenuInflater blowUp = getMenuInflater();\r\n\t\tblowUp.inflate(R.menu.coolmenu, menu); //first is resource menu, the secon is a data.\r\n\t\treturn true;\r\n\t}","title":""},{"docid":"99c4687ee80d14b3c8edf7f3de363cd2","score":"0.6744247","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_course_editor, menu);\n return true;\n }","title":""},{"docid":"36aef33ecfb8547a0c651fa16dfee127","score":"0.6706505","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.edit_bar, menu);\n return true;\n }","title":""},{"docid":"78417c505713488d96723b08c3a63f44","score":"0.6692562","text":"@Override\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tgetMenuInflater().inflate(R.menu.edit, menu);\n\t\treturn true;\n\t}","title":""},{"docid":"abb25dea78d2d7721edbe36c35ff0eb0","score":"0.668464","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n super.onCreateOptionsMenu(menu, inflater);\n inflater.inflate(R.menu.bookmark, menu);\n }","title":""},{"docid":"abb25dea78d2d7721edbe36c35ff0eb0","score":"0.668464","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n super.onCreateOptionsMenu(menu, inflater);\n inflater.inflate(R.menu.bookmark, menu);\n }","title":""},{"docid":"d5dcfb730d2bbb3258f455ec57e013c9","score":"0.66684073","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n super.onCreateOptionsMenu(menu, inflater);\n inflater.inflate(R.menu.item_menu, menu);\n }","title":""},{"docid":"6974f6913ed1ff8d0cdc66bbb69e490f","score":"0.6652849","text":"@Override\n\tpublic void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n\t\tmenu.clear();\n\t\tinflater.inflate(R.menu.menu_edit, menu);\n\t\tfor (int i = 0; i < menu.size(); i++){\n\t\t\tMenuItem item = menu.getItem(i);\n\t\t\titem.setShowAsAction(MenuItem.SHOW_AS_ACTION_ALWAYS\n\t\t\t\t\t| MenuItem.SHOW_AS_ACTION_WITH_TEXT);\n\t\t}\n\n\t}","title":""},{"docid":"c4376406c5bc940a4d16366487d2783a","score":"0.6651583","text":"@Override\r\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tMenuInflater inflater = getMenuInflater();\r\n\t\tinflater.inflate(R.menu.inicio, menu);\r\n\t\treturn super.onCreateOptionsMenu(menu);\r\n\t}","title":""},{"docid":"35b865855eb6ec9f32fa609643f2b9f3","score":"0.6643579","text":"@Override\n\tpublic void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n\t\tinflater.inflate(R.menu.browse_frag_menu, menu);\n\t}","title":""},{"docid":"563a77d860c73258192f79b0bf56b5ea","score":"0.6637286","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.main_menu, menu);//Menu Resource, Menu\n return true;\n }","title":""},{"docid":"58371c8d82a009c80b70b8031fcd5d83","score":"0.66324395","text":"@Override\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tmenu.add(0,0,0,\"Help\");\n\t\tmenu.add(0,1,0,\"Resources\");\n\t\treturn true;\n\t}","title":""},{"docid":"59b3f9e7afbbd6db85f6d6c5b5352f78","score":"0.6629162","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_file_manipulator, menu);\n return true;\n }","title":""},{"docid":"eca4ab6b7402a6607fde0cf0d7e78478","score":"0.6627931","text":"@Override\n\tpublic void onCreateOptionsMenu (Menu menu, MenuInflater inflater) {\n\n\t}","title":""},{"docid":"0abf1f5163b2c8c9c9e8a55bb570b71f","score":"0.65922636","text":"@Override\n public void onCreateOptionsMenu(@NonNull Menu menu, @NonNull MenuInflater inflater) {\n }","title":""},{"docid":"280343c0b969e80da9662da74fb8dd86","score":"0.6589386","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.toolbar_note_text, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"ff071700e9d47130fe7dc9d551e38a80","score":"0.658799","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.edit, menu);\n return true;\n }","title":""},{"docid":"79982523d2607130e44c824db35fec60","score":"0.6578846","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n /* Use the inflater's inflate method to inflate our articles_menu layout to this menu */\n inflater.inflate(R.menu.articles_menu, menu);\n /* Return true so that the visualizer_menu is displayed in the Toolbar */\n return true;\n }","title":""},{"docid":"4812fad086641682b42928f995a245f1","score":"0.65773225","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n super.onCreateOptionsMenu(menu, inflater);\n inflater.inflate(R.menu.main, menu);\n }","title":""},{"docid":"a029eb159fe13dcb18dc738de2e39c67","score":"0.65729475","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.option_menu_post_details, menu);//Menu Resource, Menu\n return true;\n }","title":""},{"docid":"1a81b9562a79ddcbad7b005624b8e1a0","score":"0.6570464","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n inflater.inflate(R.menu.main_activity_actions, menu);\n }","title":""},{"docid":"36f1e3a08a177989b5ed8d5637c1858a","score":"0.65676636","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.main_menu, menu);\n for(String s : options)\n menu.add(s);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"edefedd15cd23bbdb9fb137252325501","score":"0.65631354","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n super.onCreateOptionsMenu(menu, inflater);\n\n }","title":""},{"docid":"f9f4debffb56f40f0510f8060df457cc","score":"0.6559196","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_file, menu);\n return true;\n }","title":""},{"docid":"99a0b6cf2b00fe0a2c1e5cc29c6f3c66","score":"0.6557268","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_edit, menu);\n return true;\n }","title":""},{"docid":"99a0b6cf2b00fe0a2c1e5cc29c6f3c66","score":"0.6557268","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_edit, menu);\n return true;\n }","title":""},{"docid":"99a0b6cf2b00fe0a2c1e5cc29c6f3c66","score":"0.6557268","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_edit, menu);\n return true;\n }","title":""},{"docid":"3efb640c2b8691b4cb7adba6ec80111f","score":"0.6549106","text":"@Override\n\n\t\t public boolean onCreateOptionsMenu(Menu menu) {\n\t\t \t\n\t\t \tmenu.add(0, SHOW_GALLERY, 0,getBaseContext().getString(R.string.mShowGallery)).setIcon(android.R.drawable.ic_menu_gallery);\n\t\t \tmenu.add(0, IMPORT_CITATIONS, 0,getBaseContext().getString(R.string.mCitationImport)).setIcon(android.R.drawable.ic_menu_save);\n\t\t \tmenu.add(0, TAXON_CHECKER, 0,getBaseContext().getString(R.string.mCheckTaxonTh)).setIcon(android.R.drawable.ic_menu_set_as);\n\t\t \tmenu.add(0, SHOW_FIELDS, 0,getBaseContext().getString(R.string.mShowProjectProperties)).setIcon(android.R.drawable.ic_menu_info_details);\n\t\t \tmenu.add(0, REPORT_CREATOR, 0,getBaseContext().getString(R.string.mCreateReport)).setIcon(android.R.drawable.ic_menu_agenda);\n\t\t \n\t\t return super.onCreateOptionsMenu(menu);\n\t\t }","title":""},{"docid":"a994823b9316e338ed21e14998686b9c","score":"0.6548694","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.edit_menu, menu);\n return true;\n }","title":""},{"docid":"7091ce3cb11ab9d46978b1b0326784f3","score":"0.6542602","text":"@Override\r\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n super.onCreateOptionsMenu(menu, inflater);\r\n }","title":""},{"docid":"60e935e9065548ab5ab0f72a9f1931a7","score":"0.654235","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {//atribuir o menu\n getMenuInflater().inflate(R.menu.menu, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"c8b3e5615ed21846630f0bb4824ea2d8","score":"0.6541397","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.edit, menu);\n\n return true;\n }","title":""},{"docid":"268fea06ad170118b32c05b08db977a7","score":"0.653957","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.lista_area, menu);\n return true;\n }","title":""},{"docid":"762bd7d6305624fb3ed918f668cd10cc","score":"0.6530961","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n super.onCreateOptionsMenu(menu, inflater);\n inflater.inflate(R.menu.menu_main, menu);\n }","title":""},{"docid":"d13bb25bb4501036634c17ccd69cb3bf","score":"0.65215164","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater menuInflater = getMenuInflater();\n\n// getMenuInflater().inflate(R.menu.main_menu, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"b4cc53bc305779cb333f7815e105f1b4","score":"0.65104145","text":"@Override\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tgetMenuInflater().inflate(R.menu.main, menu);\n\t\treturn super.onCreateOptionsMenu(menu);\n\t\t/*menu.add(\"Account\")\n .setIcon(R.drawable.ic_action_accounts)\n .setShowAsAction(MenuItem.SHOW_AS_ACTION_IF_ROOM | MenuItem.SHOW_AS_ACTION_WITH_TEXT)\n ;\n\n\t\tmenu.add(\"Report\")\n .setIcon(R.drawable.ic_action_view_as_list)\n .setShowAsAction(MenuItem.SHOW_AS_ACTION_IF_ROOM | MenuItem.SHOW_AS_ACTION_WITH_TEXT);\n\n\t\tmenu.add(\"Settings\")\n .setIcon(R.drawable.ic_action_settings)\n .setShowAsAction(MenuItem.SHOW_AS_ACTION_IF_ROOM | MenuItem.SHOW_AS_ACTION_WITH_TEXT);\n\n\t\treturn super.onCreateOptionsMenu(menu);*/\n\t}","title":""},{"docid":"4cb9e69581fbbd1517d65055054baed5","score":"0.650712","text":"@Override\n\t\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\n\t\t\tgetMenuInflater().inflate(R.menu.main, menu);\n\n\t\t\treturn super.onCreateOptionsMenu(menu);\n\t\t}","title":""},{"docid":"8cbc6e9b6f9298964a12dde4ef6178dd","score":"0.64992553","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n inflater.inflate(R.menu.menu_movie_detail, menu);\n }","title":""},{"docid":"834f6c62845d947459df685b80dd2f2d","score":"0.64936","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n super.onCreateOptionsMenu(menu, inflater);\n }","title":""},{"docid":"834f6c62845d947459df685b80dd2f2d","score":"0.64936","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n super.onCreateOptionsMenu(menu, inflater);\n }","title":""},{"docid":"c900ab7091a6c1d6883de6291758f93f","score":"0.64913833","text":"@Override\r\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.items, menu);\r\n return true;\r\n }","title":""},{"docid":"07880aa28b01f1f6324bc4fe93836e89","score":"0.6490296","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n inflater.inflate(R.menu.main_menu, menu);\n super.onCreateOptionsMenu(menu, inflater);\n }","title":""},{"docid":"5f9242a61059ec92088806ccdee34946","score":"0.6486638","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.article_toolbar_menu, menu);\n return true;\n }","title":""},{"docid":"c4b13abeb89128967f1c9e714bb691c1","score":"0.648503","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n inflater.inflate(R.menu.view_menu, menu);\n return;\n }","title":""},{"docid":"b7f52d060b7c6f43ecb4c629743169ad","score":"0.6483662","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n // R.menu.menu is a reference to an xml file named menu.xml which should be inside your res/menu directory.\n // If you don't have res/menu, just create a directory named \"menu\" inside res\n getMenuInflater().inflate(R.menu.menu, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"51db7282c67d24659b08f75ff09b25b2","score":"0.6478213","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.actions_bar, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"a7ed2e7b4f36509b9a7fb65ffca1cd39","score":"0.647541","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\n getActivity().getMenuInflater().inflate(R.menu.menu_main, menu);\n super.onCreateOptionsMenu(menu, inflater);\n }","title":""},{"docid":"5ae52ba56bb6ced712b4f425d78799c3","score":"0.6472659","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.optionmenu, menu);\n //getMenuInflater().inflate(R.menu.menu_main, menu);\n return true;\n\n }","title":""},{"docid":"5ae52ba56bb6ced712b4f425d78799c3","score":"0.6472659","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.optionmenu, menu);\n //getMenuInflater().inflate(R.menu.menu_main, menu);\n return true;\n\n }","title":""},{"docid":"110833efb23b1948508ac4c5796bcb55","score":"0.6471603","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getSherlock().getMenuInflater();\n inflater.inflate(R.menu.loadmap_addlayers, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"f47dc378ba87b487c631261321b34316","score":"0.647078","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.edit_note_menu, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"2787100cadcc8a87fc230b7bd52ded2e","score":"0.64653414","text":"@Override\n // This method initialize the contents of the Activity's options menu.\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu, menu);\n return true;\n }","title":""},{"docid":"ff9cd08557268c266930f28a32687428","score":"0.6464886","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n //Infkar o menu Layout atual\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.menu_principal, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"3f26cf29ffa9cc2c501cdc2855095ebc","score":"0.64641535","text":"@Override\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tMenuInflater inflater = getMenuInflater();\n\t\tinflater.inflate(R.layout.main_activity_actions, menu);\n\t\treturn super.onCreateOptionsMenu(menu);\n\t}","title":""},{"docid":"3ad047316469c48f9857ff75cfd5e552","score":"0.6460813","text":"@Override\n\tpublic void onCreateOptionsMenu(Menu menu, MenuInflater inflater)\n\t{\n\t\tinflater.inflate(R.menu.menu_main, menu);\n\t\tsuper.onCreateOptionsMenu(menu, inflater);\n\t}","title":""},{"docid":"a6b44dbe150e725f2dfb886744c011c9","score":"0.64587057","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_file_save, menu);\n return true;\n }","title":""},{"docid":"6ef6ff0ea83fca778972f506fd7221aa","score":"0.64586633","text":"@Override\n\t\tpublic boolean onCreateOptionsMenu(Menu menu)\n\t\t{\n\t\t\tMenuInflater menuInflater = getMenuInflater();\n\t\t\tmenuInflater.inflate(R.menu.menu, menu);\n\t\t\treturn super.onCreateOptionsMenu(menu);\n\t\t}","title":""},{"docid":"aa2206b6e9e433b48a6bc7bc8a0c2b03","score":"0.64582825","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = ((Activity) context).getMenuInflater();\n inflater.inflate(R.menu.add_menu, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"5d178da19579cc5a632adc0d149b95a7","score":"0.64566493","text":"@Override\r\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tgetMenuInflater().inflate(R.menu.design_info, menu);\r\n\t\treturn true;\r\n\t}","title":""},{"docid":"f1bec5eaf2a8fdb48e6bc24dde524102","score":"0.64566475","text":"@Override\n public void onCreateOptionsMenu (Menu menu, MenuInflater inflater) {\n inflater.inflate(R.menu.movie_fragment, menu);\n\n }","title":""},{"docid":"163d52df3869fb51e0b5484e388323c8","score":"0.6456301","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.main_web_menu, menu);//Menu Resource, Menu\n return true;\n }","title":""},{"docid":"d9f600dac8071dc91d69f54160651e22","score":"0.6455109","text":"protected void createMenus() {\r\n\t\tIMenuManager rootMenuManager = getViewSite().getActionBars().getMenuManager();\r\n\t\trootMenuManager.add(refreshSnippetsAction);\r\n\t\trootMenuManager.add(insertAction);\r\n\t\t\r\n\t\trootMenuManager.add(createSnippetAction);\r\n\t\trootMenuManager.add(editSnippetAction);\r\n\t\trootMenuManager.add(deleteSnippetAction);\r\n\t\t\r\n\t\trootMenuManager.add(createFolderAction);\r\n\t\trootMenuManager.add(deleteFolderAction);\r\n\t\trootMenuManager.add(openSnipExPage);\r\n\t}","title":""},{"docid":"e69b9b240705a6da4a8f8c27499a5fe5","score":"0.64507675","text":"@Override\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\n\t\t// When accessing resources from the PApplet, we HAVE to use the\n\t\t// constant 32bit ID, otherwise it will not find it (R has no field).\n\t\t// But here we only have to deal with the menu.xml (and not every\n\t\t// string and icon, which would be really annoying)\n\t\t// MenuInflater inflater = getMenuInflater();\n\t\t// inflater.inflate(0x7f070000, menu);\n\n\t\t// For some damn reason the inflater wont find the menu resource, so\n\t\t// we populate the menu with code instead, but then are stuck with\n\t\t// default ugly icon-less text buttons\n\t\tm1 = menu.add(Menu.NONE, 1, 1, \"Use Eraser\");\n\t\tm2 = menu.add(Menu.NONE, 2, 2, \"Choose Blue\");\n\t\tm3 = menu.add(Menu.NONE, 3, 3, \"Clear Grid\");\n\t\tm4 = menu.add(Menu.NONE, 4, 4, \"Pause\");\n\t\tm5 = menu.add(Menu.NONE, 5, 5, \"Options\");\n\t\tm6 = menu.add(Menu.NONE, 6, 6, \"Restart Grid\");\n\t\tm7 = menu.add(Menu.NONE, 7, 7, \"Reset Time\");\n\t\tm8 = menu.add(Menu.NONE, 8, 8, \"Save single Image\");\n\t\tm9 = menu.add(Menu.NONE, 9, 9, \"Save Image series\");\n\n\t\t// disable\n\t\tm3.setEnabled(false);\n\t\tm6.setEnabled(false);\n\n\t\t// ADDING RESOURCES HARD-CODED USING HEX ID WORKS!\n\t\treturn super.onCreateOptionsMenu(menu);\n\t}","title":""},{"docid":"dd103e116478446c6dd1e0d89630a08c","score":"0.64451754","text":"@Override\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t MenuInflater inflater = getMenuInflater();\n\t inflater.inflate(R.menu.main, menu);\n\t return super.onCreateOptionsMenu(menu);\n\t}","title":""},{"docid":"542a3b73bfd635914cb33c01b9ca5eff","score":"0.64438206","text":"@Override\n public boolean onCreateOptionsMenu(final Menu menu) {\n this.getMenuInflater().inflate(R.menu.menu, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"5bc8d931916ed413a7fd214ed67fc2f4","score":"0.6440675","text":"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater){\n\n mMenu = menu;\n\n super.onCreateOptionsMenu(menu, inflater);\n inflater.inflate(R.menu.fragment_course_calendar, menu);\n inflater.inflate(R.menu.fragment_course_list, menu);\n updateMenuBar(menu);\n }","title":""},{"docid":"a332901b0f4262b738e81b00dd636938","score":"0.6440601","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.main, menu);\n return super.onCreateOptionsMenu(menu);\n \n }","title":""},{"docid":"a9edcfaaa08d1fd4baaafc2d6a0524e7","score":"0.643868","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.main, menu);\n// inflate(R.layout.app_bar_main,menu);\n return false;\n }","title":""},{"docid":"510f598c74054d7e46cacc73ea0ca1e3","score":"0.64369696","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n \tsuper.onCreateOptionsMenu(menu);\n MenuInflater preparamenu = getMenuInflater();\n preparamenu.inflate(R.menu.main, menu);\n return true;\n }","title":""},{"docid":"04ab640527810a102d85f178ea3465b7","score":"0.64338714","text":"@Override\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tMenuInflater inflater = getMenuInflater();\n\t\tinflater.inflate(R.menu.main, menu);\n\t\treturn super.onCreateOptionsMenu(menu);\n\n\t}","title":""},{"docid":"3ca4f899eace47ea62337277535d18a2","score":"0.6432248","text":"@Override\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n \tMenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.main_activity_actions, menu);\n return super.onCreateOptionsMenu(menu); \n }","title":""},{"docid":"05d7aeb0d1c3b8e9882d553274034a48","score":"0.6429622","text":"@Override\r\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tgetMenuInflater().inflate(R.menu.insert, menu);\r\n\t\treturn true;\r\n\t}","title":""},{"docid":"d4b434eb4c1a1401f222379a33e3948c","score":"0.6428463","text":"@Override\n\tpublic void onCreateOptionsMenu(Menu menu, MenuInflater menuinf) {\n\t\tmenuinf.inflate(R.menu.materiel_list2, menu);\n\t}","title":""},{"docid":"f1be9211da53d83660f9c44b4edef1fa","score":"0.642826","text":"@Override \r\n\t public boolean onCreateOptionsMenu(Menu menu) {\n\t getMenuInflater().inflate(R.menu.main, menu); \r\n\t return true; \r\n\t }","title":""},{"docid":"cee9c1360e4d47f832c9cbb6c64cad1b","score":"0.64265734","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) \n {\n super.onCreateOptionsMenu(menu); // call super's method\n\n // add options to menu\n menu.add(Menu.NONE, COLOR_MENU_ID, Menu.NONE, \n R.string.menuitem_color);\n menu.add(Menu.NONE, WIDTH_MENU_ID, Menu.NONE, \n R.string.menuitem_line_width);\n menu.add(Menu.NONE, ERASE_MENU_ID, Menu.NONE, \n R.string.menuitem_erase);\n menu.add(Menu.NONE, CLEAR_MENU_ID, Menu.NONE, \n R.string.menuitem_clear);\n\n return true; // options menu creation was handled\n }","title":""},{"docid":"3d2e162c4bf1e8f3435055204af70870","score":"0.642447","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.main, menu);\n\n\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"830556d3df8bf9f0a7add0e6cb9a94a2","score":"0.641413","text":"@Override\n public boolean onCreateOptionsMenu (Menu menu){\n getMenuInflater().inflate(R.menu.menu_imc, menu);\n return true;\n }","title":""},{"docid":"7beece16a3151963d6658b28e9b28066","score":"0.6413043","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.menu, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"7beece16a3151963d6658b28e9b28066","score":"0.6413043","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.menu, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"7beece16a3151963d6658b28e9b28066","score":"0.6413043","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.menu, menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""},{"docid":"adedf2bfc128e6dfe1e2a2fd0c6832a2","score":"0.64111626","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater=getMenuInflater();\n inflater.inflate(R.menu.custom_menu, menu);\n return true;\n }","title":""},{"docid":"a87e94001dd40655fb29545328c809c6","score":"0.64089423","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n MenuInflater inflater = getMenuInflater();\n inflater.inflate(R.menu.main_menu, menu);\n return true;\n }","title":""},{"docid":"efdb51e4eff4ae6f916d399b6d1ce5dd","score":"0.64026326","text":"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n\n getMenuInflater().inflate(R.menu.meniitem,menu);\n return super.onCreateOptionsMenu(menu);\n }","title":""}],"string":"[\n {\n \"docid\": \"14a9bfb6ccbfb276db781c43f6033d3f\",\n \"score\": \"0.7544708\",\n \"text\": \"@Override\\npublic boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_editor, menu);\\n return true;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99266da50d63656eaaa3fe451a87a5fa\",\n \"score\": \"0.73051775\",\n \"text\": \"@ Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu)\\n\\t{\\n\\t\\tgetMenuInflater().inflate(R.menu.meme_editor, menu);\\n\\t\\treturn true;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efe5a2edec299db039776844cc3b3150\",\n \"score\": \"0.72933537\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.editor, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6199d46e4f6aa1e7b4304e98ad6d6a2f\",\n \"score\": \"0.72673595\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_editor, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6199d46e4f6aa1e7b4304e98ad6d6a2f\",\n \"score\": \"0.72673595\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_editor, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6199d46e4f6aa1e7b4304e98ad6d6a2f\",\n \"score\": \"0.72673595\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_editor, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6199d46e4f6aa1e7b4304e98ad6d6a2f\",\n \"score\": \"0.72673595\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_editor, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6199d46e4f6aa1e7b4304e98ad6d6a2f\",\n \"score\": \"0.72673595\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_editor, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6199d46e4f6aa1e7b4304e98ad6d6a2f\",\n \"score\": \"0.72673595\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_editor, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a367ced267a9d60bfc8a3c4cd1688681\",\n \"score\": \"0.7210393\",\n \"text\": \"@Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\t\\tgetMenuInflater().inflate(R.menu.activity_t_editor, menu);\\n\\t\\treturn true;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"09a0447745e60bfd7cd6109969948feb\",\n \"score\": \"0.7178907\",\n \"text\": \"@Override\\r\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\r\\n\\t\\tMenuInflater inflater = getMenuInflater();\\r\\n\\t\\tinflater.inflate(R.layout.menu, menu);\\r\\n\\t\\t// Show appropriate settings for user/editor interface\\r\\n\\t\\tBoolean isEditor = prefs.getBoolean(\\\"isEditor\\\", false);\\r\\n\\t\\tif(!isEditor) {\\r\\n\\t\\t\\t// Remove editor buttons to make room for child buttons\\r\\n\\t\\t\\tmenu.removeItem(R.id.menu_view_menu);\\r\\n\\t\\t\\tmenu.removeItem(R.id.menu_view_folder);\\r\\n\\t\\t\\tmenu.removeItem(R.id.menu_view_icon);\\r\\n\\t\\t\\tmenu.removeItem(R.id.menu_view_pic);\\r\\n\\t\\t\\tmenu.removeItem(R.id.menu_view_vid);\\r\\n\\t\\t\\tmenu.removeItem(R.id.menu_create_new);\\r\\n\\t\\t\\tmenu.removeItem(R.id.menu_options);\\r\\n\\t\\t\\t// Show the whole menu button if in view menu\\r\\n\\t\\t\\tif(getLocalClassName().equals(\\\"ViewMenu\\\")) {\\r\\n\\t\\t\\t\\tmenu.findItem(R.id.menu_whole_menu).setVisible(true);\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tmenu.findItem(R.id.menu_whole_menu).setVisible(false);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t// Show the view menu button if in whole menu\\r\\n\\t\\t\\tif(getLocalClassName().equals(\\\"WholeMenu\\\")) {\\r\\n\\t\\t\\t\\tmenu.findItem(R.id.child_menu_view_menu).setVisible(true);\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tmenu.findItem(R.id.child_menu_view_menu).setVisible(false);\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t} else {\\r\\n\\t\\t\\t// Show the view menu archive button\\r\\n\\t\\t\\tmenu.findItem(R.id.menu_view_menu).setVisible(true);\\r\\n\\t\\t\\t// Show the view folder archive button\\r\\n\\t\\t\\tmenu.findItem(R.id.menu_view_folder).setVisible(true);\\r\\n\\t\\t\\t// Show the view icon archive button\\r\\n\\t\\t\\tmenu.findItem(R.id.menu_view_icon).setVisible(true);\\r\\n\\t\\t\\t// Show the view picture archive button\\r\\n\\t\\t\\tmenu.findItem(R.id.menu_view_pic).setVisible(true);\\r\\n\\t\\t\\t// Show the view video archive button\\r\\n\\t\\t\\tmenu.findItem(R.id.menu_view_vid).setVisible(true);\\r\\n\\t\\t\\t// Show the create new button\\r\\n\\t\\t\\tmenu.findItem(R.id.menu_create_new).setVisible(true);\\r\\n\\t\\t\\t// Show the options button\\r\\n\\t\\t\\tmenu.findItem(R.id.menu_options).setVisible(true);\\r\\n\\t\\t\\t// Hide the whole menu button\\r\\n\\t\\t\\tmenu.findItem(R.id.menu_whole_menu).setVisible(false);\\r\\n\\t\\t\\t// Hide the view menu button\\r\\n\\t\\t\\tmenu.findItem(R.id.child_menu_view_menu).setVisible(false);\\r\\n\\t\\t}\\r\\n\\t\\treturn true;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"238c34b5b1c89d34a2d8e2e54f0f83f5\",\n \"score\": \"0.7154276\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_editor, menu);\\n Log.d(\\\"message\\\", \\\"open EditorActivity\\\");\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"819e26532d3751b85ceeba928d9aae3e\",\n \"score\": \"0.70638597\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n \\tMenuInflater inflater = getMenuInflater();\\n \\tinflater.inflate(R.menu.item_edit_actions, menu);\\n \\treturn super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1cbffe2e34bbb0b9257e3f0e1db9212c\",\n \"score\": \"0.69708973\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_exercise_editor, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79c4ef1bd4edfc514b03e1b36a332d48\",\n \"score\": \"0.6861462\",\n \"text\": \"@Override\\n\\tpublic void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n\\t\\tsuper.onCreateOptionsMenu(menu, inflater);\\n\\t\\tinflater.inflate(R.menu.save_menu, menu);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"041c4e863d836a970966c068afbc2415\",\n \"score\": \"0.68257374\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.rule_editor_screen, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4b36d48056e1fc207a0175042724a8f6\",\n \"score\": \"0.6795277\",\n \"text\": \"@Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu)\\n\\t{\\n\\t\\tgetMenuInflater().inflate(R.menu.layout_edit, menu);\\n\\t\\treturn true;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a67cf677ec7ff8f550aa43b49e41868\",\n \"score\": \"0.6744652\",\n \"text\": \"@Override\\r\\n\\tpublic boolean onCreateOptionsMenu(android.view.Menu menu) {\\n\\t\\tsuper.onCreateOptionsMenu(menu);\\r\\n\\t\\tMenuInflater blowUp = getMenuInflater();\\r\\n\\t\\tblowUp.inflate(R.menu.coolmenu, menu); //first is resource menu, the secon is a data.\\r\\n\\t\\treturn true;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99c4687ee80d14b3c8edf7f3de363cd2\",\n \"score\": \"0.6744247\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_course_editor, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"36aef33ecfb8547a0c651fa16dfee127\",\n \"score\": \"0.6706505\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.edit_bar, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78417c505713488d96723b08c3a63f44\",\n \"score\": \"0.6692562\",\n \"text\": \"@Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\t\\tgetMenuInflater().inflate(R.menu.edit, menu);\\n\\t\\treturn true;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"abb25dea78d2d7721edbe36c35ff0eb0\",\n \"score\": \"0.668464\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n super.onCreateOptionsMenu(menu, inflater);\\n inflater.inflate(R.menu.bookmark, menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"abb25dea78d2d7721edbe36c35ff0eb0\",\n \"score\": \"0.668464\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n super.onCreateOptionsMenu(menu, inflater);\\n inflater.inflate(R.menu.bookmark, menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d5dcfb730d2bbb3258f455ec57e013c9\",\n \"score\": \"0.66684073\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n super.onCreateOptionsMenu(menu, inflater);\\n inflater.inflate(R.menu.item_menu, menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6974f6913ed1ff8d0cdc66bbb69e490f\",\n \"score\": \"0.6652849\",\n \"text\": \"@Override\\n\\tpublic void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n\\t\\tmenu.clear();\\n\\t\\tinflater.inflate(R.menu.menu_edit, menu);\\n\\t\\tfor (int i = 0; i < menu.size(); i++){\\n\\t\\t\\tMenuItem item = menu.getItem(i);\\n\\t\\t\\titem.setShowAsAction(MenuItem.SHOW_AS_ACTION_ALWAYS\\n\\t\\t\\t\\t\\t| MenuItem.SHOW_AS_ACTION_WITH_TEXT);\\n\\t\\t}\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4376406c5bc940a4d16366487d2783a\",\n \"score\": \"0.6651583\",\n \"text\": \"@Override\\r\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\t\\tMenuInflater inflater = getMenuInflater();\\r\\n\\t\\tinflater.inflate(R.menu.inicio, menu);\\r\\n\\t\\treturn super.onCreateOptionsMenu(menu);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35b865855eb6ec9f32fa609643f2b9f3\",\n \"score\": \"0.6643579\",\n \"text\": \"@Override\\n\\tpublic void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n\\t\\tinflater.inflate(R.menu.browse_frag_menu, menu);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"563a77d860c73258192f79b0bf56b5ea\",\n \"score\": \"0.6637286\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.main_menu, menu);//Menu Resource, Menu\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58371c8d82a009c80b70b8031fcd5d83\",\n \"score\": \"0.66324395\",\n \"text\": \"@Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\t\\tmenu.add(0,0,0,\\\"Help\\\");\\n\\t\\tmenu.add(0,1,0,\\\"Resources\\\");\\n\\t\\treturn true;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"59b3f9e7afbbd6db85f6d6c5b5352f78\",\n \"score\": \"0.6629162\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_file_manipulator, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eca4ab6b7402a6607fde0cf0d7e78478\",\n \"score\": \"0.6627931\",\n \"text\": \"@Override\\n\\tpublic void onCreateOptionsMenu (Menu menu, MenuInflater inflater) {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0abf1f5163b2c8c9c9e8a55bb570b71f\",\n \"score\": \"0.65922636\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(@NonNull Menu menu, @NonNull MenuInflater inflater) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"280343c0b969e80da9662da74fb8dd86\",\n \"score\": \"0.6589386\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.toolbar_note_text, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff071700e9d47130fe7dc9d551e38a80\",\n \"score\": \"0.658799\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.edit, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79982523d2607130e44c824db35fec60\",\n \"score\": \"0.6578846\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n /* Use the inflater's inflate method to inflate our articles_menu layout to this menu */\\n inflater.inflate(R.menu.articles_menu, menu);\\n /* Return true so that the visualizer_menu is displayed in the Toolbar */\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4812fad086641682b42928f995a245f1\",\n \"score\": \"0.65773225\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n super.onCreateOptionsMenu(menu, inflater);\\n inflater.inflate(R.menu.main, menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a029eb159fe13dcb18dc738de2e39c67\",\n \"score\": \"0.65729475\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.option_menu_post_details, menu);//Menu Resource, Menu\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1a81b9562a79ddcbad7b005624b8e1a0\",\n \"score\": \"0.6570464\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n inflater.inflate(R.menu.main_activity_actions, menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"36f1e3a08a177989b5ed8d5637c1858a\",\n \"score\": \"0.65676636\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.main_menu, menu);\\n for(String s : options)\\n menu.add(s);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"edefedd15cd23bbdb9fb137252325501\",\n \"score\": \"0.65631354\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n super.onCreateOptionsMenu(menu, inflater);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f9f4debffb56f40f0510f8060df457cc\",\n \"score\": \"0.6559196\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_file, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99a0b6cf2b00fe0a2c1e5cc29c6f3c66\",\n \"score\": \"0.6557268\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_edit, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99a0b6cf2b00fe0a2c1e5cc29c6f3c66\",\n \"score\": \"0.6557268\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_edit, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99a0b6cf2b00fe0a2c1e5cc29c6f3c66\",\n \"score\": \"0.6557268\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_edit, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3efb640c2b8691b4cb7adba6ec80111f\",\n \"score\": \"0.6549106\",\n \"text\": \"@Override\\n\\n\\t\\t public boolean onCreateOptionsMenu(Menu menu) {\\n\\t\\t \\t\\n\\t\\t \\tmenu.add(0, SHOW_GALLERY, 0,getBaseContext().getString(R.string.mShowGallery)).setIcon(android.R.drawable.ic_menu_gallery);\\n\\t\\t \\tmenu.add(0, IMPORT_CITATIONS, 0,getBaseContext().getString(R.string.mCitationImport)).setIcon(android.R.drawable.ic_menu_save);\\n\\t\\t \\tmenu.add(0, TAXON_CHECKER, 0,getBaseContext().getString(R.string.mCheckTaxonTh)).setIcon(android.R.drawable.ic_menu_set_as);\\n\\t\\t \\tmenu.add(0, SHOW_FIELDS, 0,getBaseContext().getString(R.string.mShowProjectProperties)).setIcon(android.R.drawable.ic_menu_info_details);\\n\\t\\t \\tmenu.add(0, REPORT_CREATOR, 0,getBaseContext().getString(R.string.mCreateReport)).setIcon(android.R.drawable.ic_menu_agenda);\\n\\t\\t \\n\\t\\t return super.onCreateOptionsMenu(menu);\\n\\t\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a994823b9316e338ed21e14998686b9c\",\n \"score\": \"0.6548694\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.edit_menu, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7091ce3cb11ab9d46978b1b0326784f3\",\n \"score\": \"0.6542602\",\n \"text\": \"@Override\\r\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n super.onCreateOptionsMenu(menu, inflater);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60e935e9065548ab5ab0f72a9f1931a7\",\n \"score\": \"0.654235\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {//atribuir o menu\\n getMenuInflater().inflate(R.menu.menu, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c8b3e5615ed21846630f0bb4824ea2d8\",\n \"score\": \"0.6541397\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.edit, menu);\\n\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"268fea06ad170118b32c05b08db977a7\",\n \"score\": \"0.653957\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.lista_area, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"762bd7d6305624fb3ed918f668cd10cc\",\n \"score\": \"0.6530961\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n super.onCreateOptionsMenu(menu, inflater);\\n inflater.inflate(R.menu.menu_main, menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d13bb25bb4501036634c17ccd69cb3bf\",\n \"score\": \"0.65215164\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater menuInflater = getMenuInflater();\\n\\n// getMenuInflater().inflate(R.menu.main_menu, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4cc53bc305779cb333f7815e105f1b4\",\n \"score\": \"0.65104145\",\n \"text\": \"@Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\t\\tgetMenuInflater().inflate(R.menu.main, menu);\\n\\t\\treturn super.onCreateOptionsMenu(menu);\\n\\t\\t/*menu.add(\\\"Account\\\")\\n .setIcon(R.drawable.ic_action_accounts)\\n .setShowAsAction(MenuItem.SHOW_AS_ACTION_IF_ROOM | MenuItem.SHOW_AS_ACTION_WITH_TEXT)\\n ;\\n\\n\\t\\tmenu.add(\\\"Report\\\")\\n .setIcon(R.drawable.ic_action_view_as_list)\\n .setShowAsAction(MenuItem.SHOW_AS_ACTION_IF_ROOM | MenuItem.SHOW_AS_ACTION_WITH_TEXT);\\n\\n\\t\\tmenu.add(\\\"Settings\\\")\\n .setIcon(R.drawable.ic_action_settings)\\n .setShowAsAction(MenuItem.SHOW_AS_ACTION_IF_ROOM | MenuItem.SHOW_AS_ACTION_WITH_TEXT);\\n\\n\\t\\treturn super.onCreateOptionsMenu(menu);*/\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4cb9e69581fbbd1517d65055054baed5\",\n \"score\": \"0.650712\",\n \"text\": \"@Override\\n\\t\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\n\\t\\t\\tgetMenuInflater().inflate(R.menu.main, menu);\\n\\n\\t\\t\\treturn super.onCreateOptionsMenu(menu);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8cbc6e9b6f9298964a12dde4ef6178dd\",\n \"score\": \"0.64992553\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n inflater.inflate(R.menu.menu_movie_detail, menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"834f6c62845d947459df685b80dd2f2d\",\n \"score\": \"0.64936\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n super.onCreateOptionsMenu(menu, inflater);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"834f6c62845d947459df685b80dd2f2d\",\n \"score\": \"0.64936\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n super.onCreateOptionsMenu(menu, inflater);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c900ab7091a6c1d6883de6291758f93f\",\n \"score\": \"0.64913833\",\n \"text\": \"@Override\\r\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.items, menu);\\r\\n return true;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"07880aa28b01f1f6324bc4fe93836e89\",\n \"score\": \"0.6490296\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n inflater.inflate(R.menu.main_menu, menu);\\n super.onCreateOptionsMenu(menu, inflater);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f9242a61059ec92088806ccdee34946\",\n \"score\": \"0.6486638\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.article_toolbar_menu, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4b13abeb89128967f1c9e714bb691c1\",\n \"score\": \"0.648503\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n inflater.inflate(R.menu.view_menu, menu);\\n return;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7f52d060b7c6f43ecb4c629743169ad\",\n \"score\": \"0.6483662\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n // R.menu.menu is a reference to an xml file named menu.xml which should be inside your res/menu directory.\\n // If you don't have res/menu, just create a directory named \\\"menu\\\" inside res\\n getMenuInflater().inflate(R.menu.menu, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"51db7282c67d24659b08f75ff09b25b2\",\n \"score\": \"0.6478213\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.actions_bar, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7ed2e7b4f36509b9a7fb65ffca1cd39\",\n \"score\": \"0.647541\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {\\n getActivity().getMenuInflater().inflate(R.menu.menu_main, menu);\\n super.onCreateOptionsMenu(menu, inflater);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ae52ba56bb6ced712b4f425d78799c3\",\n \"score\": \"0.6472659\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.optionmenu, menu);\\n //getMenuInflater().inflate(R.menu.menu_main, menu);\\n return true;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ae52ba56bb6ced712b4f425d78799c3\",\n \"score\": \"0.6472659\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.optionmenu, menu);\\n //getMenuInflater().inflate(R.menu.menu_main, menu);\\n return true;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"110833efb23b1948508ac4c5796bcb55\",\n \"score\": \"0.6471603\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getSherlock().getMenuInflater();\\n inflater.inflate(R.menu.loadmap_addlayers, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f47dc378ba87b487c631261321b34316\",\n \"score\": \"0.647078\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.edit_note_menu, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2787100cadcc8a87fc230b7bd52ded2e\",\n \"score\": \"0.64653414\",\n \"text\": \"@Override\\n // This method initialize the contents of the Activity's options menu.\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff9cd08557268c266930f28a32687428\",\n \"score\": \"0.6464886\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n //Infkar o menu Layout atual\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.menu_principal, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f26cf29ffa9cc2c501cdc2855095ebc\",\n \"score\": \"0.64641535\",\n \"text\": \"@Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\t\\tMenuInflater inflater = getMenuInflater();\\n\\t\\tinflater.inflate(R.layout.main_activity_actions, menu);\\n\\t\\treturn super.onCreateOptionsMenu(menu);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3ad047316469c48f9857ff75cfd5e552\",\n \"score\": \"0.6460813\",\n \"text\": \"@Override\\n\\tpublic void onCreateOptionsMenu(Menu menu, MenuInflater inflater)\\n\\t{\\n\\t\\tinflater.inflate(R.menu.menu_main, menu);\\n\\t\\tsuper.onCreateOptionsMenu(menu, inflater);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a6b44dbe150e725f2dfb886744c011c9\",\n \"score\": \"0.64587057\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.menu_file_save, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6ef6ff0ea83fca778972f506fd7221aa\",\n \"score\": \"0.64586633\",\n \"text\": \"@Override\\n\\t\\tpublic boolean onCreateOptionsMenu(Menu menu)\\n\\t\\t{\\n\\t\\t\\tMenuInflater menuInflater = getMenuInflater();\\n\\t\\t\\tmenuInflater.inflate(R.menu.menu, menu);\\n\\t\\t\\treturn super.onCreateOptionsMenu(menu);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa2206b6e9e433b48a6bc7bc8a0c2b03\",\n \"score\": \"0.64582825\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = ((Activity) context).getMenuInflater();\\n inflater.inflate(R.menu.add_menu, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5d178da19579cc5a632adc0d149b95a7\",\n \"score\": \"0.64566493\",\n \"text\": \"@Override\\r\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\t\\tgetMenuInflater().inflate(R.menu.design_info, menu);\\r\\n\\t\\treturn true;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1bec5eaf2a8fdb48e6bc24dde524102\",\n \"score\": \"0.64566475\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu (Menu menu, MenuInflater inflater) {\\n inflater.inflate(R.menu.movie_fragment, menu);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"163d52df3869fb51e0b5484e388323c8\",\n \"score\": \"0.6456301\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.main_web_menu, menu);//Menu Resource, Menu\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9f600dac8071dc91d69f54160651e22\",\n \"score\": \"0.6455109\",\n \"text\": \"protected void createMenus() {\\r\\n\\t\\tIMenuManager rootMenuManager = getViewSite().getActionBars().getMenuManager();\\r\\n\\t\\trootMenuManager.add(refreshSnippetsAction);\\r\\n\\t\\trootMenuManager.add(insertAction);\\r\\n\\t\\t\\r\\n\\t\\trootMenuManager.add(createSnippetAction);\\r\\n\\t\\trootMenuManager.add(editSnippetAction);\\r\\n\\t\\trootMenuManager.add(deleteSnippetAction);\\r\\n\\t\\t\\r\\n\\t\\trootMenuManager.add(createFolderAction);\\r\\n\\t\\trootMenuManager.add(deleteFolderAction);\\r\\n\\t\\trootMenuManager.add(openSnipExPage);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e69b9b240705a6da4a8f8c27499a5fe5\",\n \"score\": \"0.64507675\",\n \"text\": \"@Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\n\\t\\t// When accessing resources from the PApplet, we HAVE to use the\\n\\t\\t// constant 32bit ID, otherwise it will not find it (R has no field).\\n\\t\\t// But here we only have to deal with the menu.xml (and not every\\n\\t\\t// string and icon, which would be really annoying)\\n\\t\\t// MenuInflater inflater = getMenuInflater();\\n\\t\\t// inflater.inflate(0x7f070000, menu);\\n\\n\\t\\t// For some damn reason the inflater wont find the menu resource, so\\n\\t\\t// we populate the menu with code instead, but then are stuck with\\n\\t\\t// default ugly icon-less text buttons\\n\\t\\tm1 = menu.add(Menu.NONE, 1, 1, \\\"Use Eraser\\\");\\n\\t\\tm2 = menu.add(Menu.NONE, 2, 2, \\\"Choose Blue\\\");\\n\\t\\tm3 = menu.add(Menu.NONE, 3, 3, \\\"Clear Grid\\\");\\n\\t\\tm4 = menu.add(Menu.NONE, 4, 4, \\\"Pause\\\");\\n\\t\\tm5 = menu.add(Menu.NONE, 5, 5, \\\"Options\\\");\\n\\t\\tm6 = menu.add(Menu.NONE, 6, 6, \\\"Restart Grid\\\");\\n\\t\\tm7 = menu.add(Menu.NONE, 7, 7, \\\"Reset Time\\\");\\n\\t\\tm8 = menu.add(Menu.NONE, 8, 8, \\\"Save single Image\\\");\\n\\t\\tm9 = menu.add(Menu.NONE, 9, 9, \\\"Save Image series\\\");\\n\\n\\t\\t// disable\\n\\t\\tm3.setEnabled(false);\\n\\t\\tm6.setEnabled(false);\\n\\n\\t\\t// ADDING RESOURCES HARD-CODED USING HEX ID WORKS!\\n\\t\\treturn super.onCreateOptionsMenu(menu);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd103e116478446c6dd1e0d89630a08c\",\n \"score\": \"0.64451754\",\n \"text\": \"@Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\t MenuInflater inflater = getMenuInflater();\\n\\t inflater.inflate(R.menu.main, menu);\\n\\t return super.onCreateOptionsMenu(menu);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"542a3b73bfd635914cb33c01b9ca5eff\",\n \"score\": \"0.64438206\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(final Menu menu) {\\n this.getMenuInflater().inflate(R.menu.menu, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5bc8d931916ed413a7fd214ed67fc2f4\",\n \"score\": \"0.6440675\",\n \"text\": \"@Override\\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater){\\n\\n mMenu = menu;\\n\\n super.onCreateOptionsMenu(menu, inflater);\\n inflater.inflate(R.menu.fragment_course_calendar, menu);\\n inflater.inflate(R.menu.fragment_course_list, menu);\\n updateMenuBar(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a332901b0f4262b738e81b00dd636938\",\n \"score\": \"0.6440601\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.main, menu);\\n return super.onCreateOptionsMenu(menu);\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a9edcfaaa08d1fd4baaafc2d6a0524e7\",\n \"score\": \"0.643868\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.main, menu);\\n// inflate(R.layout.app_bar_main,menu);\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"510f598c74054d7e46cacc73ea0ca1e3\",\n \"score\": \"0.64369696\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n \\tsuper.onCreateOptionsMenu(menu);\\n MenuInflater preparamenu = getMenuInflater();\\n preparamenu.inflate(R.menu.main, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"04ab640527810a102d85f178ea3465b7\",\n \"score\": \"0.64338714\",\n \"text\": \"@Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\t\\tMenuInflater inflater = getMenuInflater();\\n\\t\\tinflater.inflate(R.menu.main, menu);\\n\\t\\treturn super.onCreateOptionsMenu(menu);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3ca4f899eace47ea62337277535d18a2\",\n \"score\": \"0.6432248\",\n \"text\": \"@Override\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n \\tMenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.main_activity_actions, menu);\\n return super.onCreateOptionsMenu(menu); \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"05d7aeb0d1c3b8e9882d553274034a48\",\n \"score\": \"0.6429622\",\n \"text\": \"@Override\\r\\n\\tpublic boolean onCreateOptionsMenu(Menu menu) {\\n\\t\\tgetMenuInflater().inflate(R.menu.insert, menu);\\r\\n\\t\\treturn true;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d4b434eb4c1a1401f222379a33e3948c\",\n \"score\": \"0.6428463\",\n \"text\": \"@Override\\n\\tpublic void onCreateOptionsMenu(Menu menu, MenuInflater menuinf) {\\n\\t\\tmenuinf.inflate(R.menu.materiel_list2, menu);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1be9211da53d83660f9c44b4edef1fa\",\n \"score\": \"0.642826\",\n \"text\": \"@Override \\r\\n\\t public boolean onCreateOptionsMenu(Menu menu) {\\n\\t getMenuInflater().inflate(R.menu.main, menu); \\r\\n\\t return true; \\r\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cee9c1360e4d47f832c9cbb6c64cad1b\",\n \"score\": \"0.64265734\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) \\n {\\n super.onCreateOptionsMenu(menu); // call super's method\\n\\n // add options to menu\\n menu.add(Menu.NONE, COLOR_MENU_ID, Menu.NONE, \\n R.string.menuitem_color);\\n menu.add(Menu.NONE, WIDTH_MENU_ID, Menu.NONE, \\n R.string.menuitem_line_width);\\n menu.add(Menu.NONE, ERASE_MENU_ID, Menu.NONE, \\n R.string.menuitem_erase);\\n menu.add(Menu.NONE, CLEAR_MENU_ID, Menu.NONE, \\n R.string.menuitem_clear);\\n\\n return true; // options menu creation was handled\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d2e162c4bf1e8f3435055204af70870\",\n \"score\": \"0.642447\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n getMenuInflater().inflate(R.menu.main, menu);\\n\\n\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"830556d3df8bf9f0a7add0e6cb9a94a2\",\n \"score\": \"0.641413\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu (Menu menu){\\n getMenuInflater().inflate(R.menu.menu_imc, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7beece16a3151963d6658b28e9b28066\",\n \"score\": \"0.6413043\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.menu, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7beece16a3151963d6658b28e9b28066\",\n \"score\": \"0.6413043\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.menu, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7beece16a3151963d6658b28e9b28066\",\n \"score\": \"0.6413043\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.menu, menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"adedf2bfc128e6dfe1e2a2fd0c6832a2\",\n \"score\": \"0.64111626\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater=getMenuInflater();\\n inflater.inflate(R.menu.custom_menu, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a87e94001dd40655fb29545328c809c6\",\n \"score\": \"0.64089423\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n MenuInflater inflater = getMenuInflater();\\n inflater.inflate(R.menu.main_menu, menu);\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efdb51e4eff4ae6f916d399b6d1ce5dd\",\n \"score\": \"0.64026326\",\n \"text\": \"@Override\\n public boolean onCreateOptionsMenu(Menu menu) {\\n\\n getMenuInflater().inflate(R.menu.meniitem,menu);\\n return super.onCreateOptionsMenu(menu);\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":983399,"cells":{"query_id":{"kind":"string","value":"302f9e4f6a7c6076eb3a7adc39f6d71f"},"query":{"kind":"string","value":"Sets the associated portlet component id"},"positive_passages":{"kind":"list like","value":[{"docid":"5c2506c9d234cbc52010769e369d528d","score":"0.7502026","text":"public void setComponentID(int compId);","title":""}],"string":"[\n {\n \"docid\": \"5c2506c9d234cbc52010769e369d528d\",\n \"score\": \"0.7502026\",\n \"text\": \"public void setComponentID(int compId);\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"b37849e581474165a1df757bcbf893e2","score":"0.7221675","text":"void xsetComponentID(amdocs.iam.pd.general.common.Long componentID);","title":""},{"docid":"da841e0317f07865dd6dd294a2d293ca","score":"0.72154117","text":"void setComponentID(java.lang.String componentID);","title":""},{"docid":"6ec0e46e9ace02c51bc226c0f920c1ff","score":"0.7104538","text":"public void setIDComponent( long pIDComponent )\r\n {\r\n mIDComponent = pIDComponent;\r\n }","title":""},{"docid":"fc6d8a0f8410aed3ece1d4b7b468ca1b","score":"0.6981631","text":"public void setComponentId(String componentId) {\n this.componentId = componentId;\n }","title":""},{"docid":"b7b15ac861effd381d03f19d3cb5d5e9","score":"0.6682087","text":"public void setComponentId(Uid componentId)\n\t{\n\t\tthis.componentId = componentId;\n\t}","title":""},{"docid":"b6c6c375d6d62fbfa8c27ea7010598d9","score":"0.6649814","text":"public void setPortlet(javax.portlet.Portlet portlet);","title":""},{"docid":"ccb168d959eee95cbfedca3717e06f6a","score":"0.6646791","text":"@StrutsTagAttribute(description = \"The id to assign to the component.\", required = true)\n public void setId(String id) {\n super.setId(id);\n }","title":""},{"docid":"4a112a373f31725a8aed1a163ebf66f3","score":"0.6527853","text":"@Override\n\tpublic String getPortletId() {\n\t\treturn PORTLET_ID;\n\t}","title":""},{"docid":"da947404e9e7c6ff07936a65135f00f6","score":"0.61273354","text":"public void setIdcompte( int idcompte ) {\r\n this.idcompte = idcompte;\r\n }","title":""},{"docid":"d0fe0642dda6ed5ae6a2bcbd27ad5bc3","score":"0.6121555","text":"private void setDeptId() {\n String deptId = getId();\n\n // If the pattern matches then the given id is set to deptId\n if (validId(deptId)) {\n deptId = reverseString(deptId);\n this.deptId = deptId;\n }\n // otherwise a default value of None01 should be assigned.\n else {\n this.deptId = \"None01\";\n }\n }","title":""},{"docid":"61e8667c1e6a8fe1660705de0a34d386","score":"0.5953223","text":"void setId(int id) {\n this.id = id;\n }","title":""},{"docid":"971aa42f19af90feaec5948205bd36b1","score":"0.5935268","text":"public void setId( String value )\n {\n id = value;\n }","title":""},{"docid":"c81f3ebd6a30276b9def9049be31ecbb","score":"0.59072137","text":"public void setIdComponent(ComponentSystemEvent event) {\n\t\tsetComponents(event.getComponent());\n\t}","title":""},{"docid":"b623f07ce6dfb307721206161d893ead","score":"0.5902416","text":"@Override\n\tpublic void setId(Object id) {\n\t\t\n\t}","title":""},{"docid":"be75f8a5f4bef4a6831a2b43fdf321f7","score":"0.5887017","text":"public void setId(String value) {\n id = value;\n }","title":""},{"docid":"be75f8a5f4bef4a6831a2b43fdf321f7","score":"0.5887017","text":"public void setId(String value) {\n id = value;\n }","title":""},{"docid":"72d7028bb187206838cf49f6b542916e","score":"0.58740103","text":"public void setId(int p_id) {\n this.id = p_id;\n }","title":""},{"docid":"92e4e69790362c300bc3268df704a4fd","score":"0.5861144","text":"public void setId( int id){\n this.id = id;\n }","title":""},{"docid":"6e90cca641ddfbfce90d775cc605583b","score":"0.58560425","text":"private void setId(String inId) {\n this.id = inId;\n\n }","title":""},{"docid":"3f0320d2408d39c901e0c2a5a48002b0","score":"0.5855163","text":"@Override\r\n public void setId(Object id){\r\n super.setId(id);\r\n\r\n }","title":""},{"docid":"be8c607127da0adf013faa73892a0bd3","score":"0.5850913","text":"public void setId(int value) {\r\n this.id = value;\r\n }","title":""},{"docid":"be8c607127da0adf013faa73892a0bd3","score":"0.5850913","text":"public void setId(int value) {\r\n this.id = value;\r\n }","title":""},{"docid":"e971af61bbc5fe76014138313264e994","score":"0.58399886","text":"public void setId(String id){\r\n this.id = id;\r\n }","title":""},{"docid":"927fc7a52ac6dc525e0fd021adc80d43","score":"0.58386165","text":"public void setId(java.lang.String value) {\n this.id = value;\n }","title":""},{"docid":"927fc7a52ac6dc525e0fd021adc80d43","score":"0.58386165","text":"public void setId(java.lang.String value) {\n this.id = value;\n }","title":""},{"docid":"ef17a57a239b4b34c52957d1be740436","score":"0.58374256","text":"void setId(Object id);","title":""},{"docid":"1d84690f507f0d1fc069dedf4b58c539","score":"0.58296245","text":"public String getComponentId() {\n return componentId;\n }","title":""},{"docid":"ca94c0eae6a63f850efb317075aa722f","score":"0.5828792","text":"public void setId(int id) {\r\n\t this.id = id;\r\n\t }","title":""},{"docid":"765049c5a4fe882245c9a6b58e7e05e0","score":"0.58237463","text":"public void setid(int value) {\n this.id = value;\n }","title":""},{"docid":"a52c52647be615a94d191db3e24d11ba","score":"0.58215743","text":"public void setId(long id){\r\n \tthis.id = id;\r\n }","title":""},{"docid":"0ff171c8bbc230dd635e6ae23f430c77","score":"0.5807813","text":"public void setId(int id){\r\n this.id=id;\r\n }","title":""},{"docid":"db7b60abaecbe3bb6fa2b6ef773fbde0","score":"0.57987714","text":"protected String getPortletId(RichPanelBox panel) {\n List lista = panel.getChildren();\n Iterator it = lista.iterator();\n while (it.hasNext()) {\n Object comp = it.next();\n if (comp != null &&\n comp instanceof RichDynamicDeclarativeComponent) {\n RichDynamicDeclarativeComponent declarative =\n (RichDynamicDeclarativeComponent)comp;\n Object obj = declarative.getAttributes().get(\"PortletId\");\n return (String)obj;\n }\n }\n return null;\n }","title":""},{"docid":"6578eac763fea79215ed8a7cb0982e84","score":"0.57848763","text":"public void setId(int idCompet) {\n\t\tidCompetition = idCompet;\n\t}","title":""},{"docid":"b86615bc0af2b5bd43189fe704a72fde","score":"0.5782708","text":"public long getIDComponent()\r\n {\r\n return mIDComponent;\r\n }","title":""},{"docid":"49e691d984094718c4acd9e8f8e21313","score":"0.578197","text":"void setID(int id);","title":""},{"docid":"49e691d984094718c4acd9e8f8e21313","score":"0.578197","text":"void setID(int id);","title":""},{"docid":"587c5ffe75e306b5f1d6bef3300536a1","score":"0.57771057","text":"public void setId(int id){\n this.id=id;\n }","title":""},{"docid":"412fd7fbd8dd3b03b76e36e87c0fd5d0","score":"0.5776532","text":"public void setId(java.lang.String param){\n localIdTracker = true;\n \n this.localId=param;\n \n\n }","title":""},{"docid":"fc94dae235ee4d4c2f364638f06d505a","score":"0.57735807","text":"public void setId(String id)\r\n {\r\n this.id = id;\r\n }","title":""},{"docid":"cfd4852e0c4cf882dfdd6ade2221a54b","score":"0.5773026","text":"public void setId(String val) {\n id = val;\n }","title":""},{"docid":"3d5a6d824ebede22d07a3ac5569a9b13","score":"0.5761107","text":"public void setId(String id)\r\n {\r\n this.id = id;\r\n }","title":""},{"docid":"caa83a8cfdd327ac640694bc7b6001c7","score":"0.57577544","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"1d7f8e9496bea0225f80934f39b3915a","score":"0.57532626","text":"public void setID(int id){\n this.id = id;\n }","title":""},{"docid":"e5e40506424a106f08233550ccf6c471","score":"0.5753037","text":"public void setId(int id){\n this.id = id;\n }","title":""},{"docid":"a1a3ebf23852a2c1b56235bb4a845055","score":"0.57490087","text":"public void setId(long id){\r\n\t\tthis.id = id;\r\n\t}","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.57406145","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.57406145","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.57406145","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.57406145","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.57406145","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.57406145","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.57406145","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"519f45d8e6617dfda5352225f70bfa2a","score":"0.5740559","text":"public void setId(String id){\n this.id = id;\n }","title":""},{"docid":"d6f698d3cd8989a81559430e42b3c5c5","score":"0.574031","text":"public void setId(int id) {\n Id = id;\n }","title":""},{"docid":"b0f197b8ce8f94cf80aef259dd8c90fe","score":"0.5738526","text":"public void setId(int id) {\n // Setting the variable to the attribute without the uses of a scanner\n this.id = id;\n }","title":""},{"docid":"7ebb3ac595155a781dbc6416da4ade58","score":"0.5738513","text":"public void setId(long id){\n this.id=id; \n }","title":""},{"docid":"3d781bc213b63f37f826edef4350867b","score":"0.5738264","text":"@Override\n\tpublic void setId(int id) {\n\t\t\n\t}","title":""},{"docid":"f4a12839fb485152ca60d5c50adc1340","score":"0.5737523","text":"public void setId(long id) {\r\n this.id = id;\r\n }","title":""},{"docid":"119e0696d77ccecbcade609d390feb35","score":"0.5736649","text":"void setID(String tslID);","title":""},{"docid":"5a7581a7298386eaae3e1d5363790d56","score":"0.5735588","text":"public void setId(String id) {\r\n this.id = id;\r\n }","title":""},{"docid":"5a7581a7298386eaae3e1d5363790d56","score":"0.5735588","text":"public void setId(String id) {\r\n this.id = id;\r\n }","title":""},{"docid":"5a7581a7298386eaae3e1d5363790d56","score":"0.5735588","text":"public void setId(String id) {\r\n this.id = id;\r\n }","title":""},{"docid":"5149ce7045addbec7e621198a6e6bfdb","score":"0.57327276","text":"public void setPortletConfig(javax.portlet.PortletConfig portletConfig);","title":""},{"docid":"e177e8826bbe0224794d9b3694452d40","score":"0.57322234","text":"@Override\n public void setId(String id)\n {\n }","title":""},{"docid":"498ab3b87690d17fe0d4d2791ff2662d","score":"0.5725856","text":"public void setId(long id) { this.id = id; }","title":""},{"docid":"498ab3b87690d17fe0d4d2791ff2662d","score":"0.5725856","text":"public void setId(long id) { this.id = id; }","title":""},{"docid":"5a3d8cb16a6d32c2e41aa5ad721ee8f4","score":"0.5724033","text":"public void setId(long id) {\r\n this.id = id;\r\n }","title":""},{"docid":"5a3d8cb16a6d32c2e41aa5ad721ee8f4","score":"0.5724033","text":"public void setId(long id) {\r\n this.id = id;\r\n }","title":""},{"docid":"5a3d8cb16a6d32c2e41aa5ad721ee8f4","score":"0.5724033","text":"public void setId(long id) {\r\n this.id = id;\r\n }","title":""},{"docid":"985c1ae3a2ac7ce21acd3bb8697567cd","score":"0.5723516","text":"public void setId(long id)\n {\n this.id = id;\n }","title":""},{"docid":"ecebbfba073589c21c0bb07938fd1cdf","score":"0.57228255","text":"void setId(java.lang.String id);","title":""},{"docid":"ecebbfba073589c21c0bb07938fd1cdf","score":"0.57228255","text":"void setId(java.lang.String id);","title":""},{"docid":"045747e4da07ee824b41cb88099a3250","score":"0.5721665","text":"void setId(String id);","title":""},{"docid":"045747e4da07ee824b41cb88099a3250","score":"0.5721665","text":"void setId(String id);","title":""},{"docid":"045747e4da07ee824b41cb88099a3250","score":"0.5721665","text":"void setId(String id);","title":""},{"docid":"8ad4c05b4499e5f22acafab51b52c672","score":"0.5719192","text":"public void setId (long id) {\r\n\t\tthis.id = id;\r\n\t}","title":""},{"docid":"3bedf3c23da6b0b6ef0fb244063f8195","score":"0.5717209","text":"void setId(long id);","title":""},{"docid":"61f37c54dc8b9a584692be2d94dda00b","score":"0.5716848","text":"public Uid getComponentId()\n\t{\n\t\treturn componentId;\n\t}","title":""},{"docid":"d5190a065b6d94193f5e679257059b1c","score":"0.5714323","text":"public void setId(int tileId) {\n\t\tthis.tileId = tileId;\n\t}","title":""},{"docid":"15883bd73a05ef8d23a889733cd94089","score":"0.5713762","text":"public void setid(int id) {\r\n\r\n this.id = id;\r\n\r\n }","title":""},{"docid":"d780338f207855a82c75adaaef8eb893","score":"0.57121634","text":"public void setId(long value) {\r\n this.id = value;\r\n }","title":""},{"docid":"17b08b6c3d7d677821b0b98cdd1c0b87","score":"0.57063246","text":"public void setId(int p_id) {\n this.d_id = p_id;\n }","title":""},{"docid":"f397bffe205e72905a54a9d25c62fe24","score":"0.5702205","text":"public void setId(final int id);","title":""},{"docid":"7da148a5ba747df138461ed430706b1d","score":"0.57011646","text":"public void setId(String id) {\n // empty\n }","title":""},{"docid":"096c7bc3fa7aacb3f0a29020389b6914","score":"0.5700667","text":"void setId(int id) {\n _id = id;\n }","title":""},{"docid":"70916f9e9eaec608faa71f4d1e5fa8a3","score":"0.5700302","text":"public void setId(String id) {\n this.id = id;\n }","title":""},{"docid":"70916f9e9eaec608faa71f4d1e5fa8a3","score":"0.5700302","text":"public void setId(String id) {\n this.id = id;\n }","title":""},{"docid":"70916f9e9eaec608faa71f4d1e5fa8a3","score":"0.5700302","text":"public void setId(String id) {\n this.id = id;\n }","title":""},{"docid":"70916f9e9eaec608faa71f4d1e5fa8a3","score":"0.5700302","text":"public void setId(String id) {\n this.id = id;\n }","title":""},{"docid":"12b6e591b554f388e11a9ce9c084023e","score":"0.56992835","text":"public void setId(String id) {\n\t\t\n\t}","title":""},{"docid":"ea79aec52cf0fac47d749990e084ab16","score":"0.5694915","text":"public void setId(long param){\n localIdTracker = true;\n \n this.localId=param;\n \n\n }","title":""},{"docid":"1ab17ca223c9aa7615cd5de9dfe79c8b","score":"0.5694756","text":"public void setId(int id)\n {\n this.id = id;\n }","title":""},{"docid":"1ab17ca223c9aa7615cd5de9dfe79c8b","score":"0.5694756","text":"public void setId(int id)\n {\n this.id = id;\n }","title":""},{"docid":"1ab17ca223c9aa7615cd5de9dfe79c8b","score":"0.5694756","text":"public void setId(int id)\n {\n this.id = id;\n }","title":""},{"docid":"1ab17ca223c9aa7615cd5de9dfe79c8b","score":"0.5694756","text":"public void setId(int id)\n {\n this.id = id;\n }","title":""},{"docid":"1ab17ca223c9aa7615cd5de9dfe79c8b","score":"0.5694756","text":"public void setId(int id)\n {\n this.id = id;\n }","title":""},{"docid":"9053e93c93f7375308406b693455fe7c","score":"0.56904626","text":"public void setId(String id)\n {\n this.id = id;\n }","title":""},{"docid":"9053e93c93f7375308406b693455fe7c","score":"0.56904626","text":"public void setId(String id)\n {\n this.id = id;\n }","title":""},{"docid":"94e19d7d5f3a4ed2767d2246bd5e5e22","score":"0.568907","text":"public void setId(int id) {\n this.id = id;\n }","title":""},{"docid":"94e19d7d5f3a4ed2767d2246bd5e5e22","score":"0.568907","text":"public void setId(int id) {\n this.id = id;\n }","title":""}],"string":"[\n {\n \"docid\": \"b37849e581474165a1df757bcbf893e2\",\n \"score\": \"0.7221675\",\n \"text\": \"void xsetComponentID(amdocs.iam.pd.general.common.Long componentID);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da841e0317f07865dd6dd294a2d293ca\",\n \"score\": \"0.72154117\",\n \"text\": \"void setComponentID(java.lang.String componentID);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6ec0e46e9ace02c51bc226c0f920c1ff\",\n \"score\": \"0.7104538\",\n \"text\": \"public void setIDComponent( long pIDComponent )\\r\\n {\\r\\n mIDComponent = pIDComponent;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fc6d8a0f8410aed3ece1d4b7b468ca1b\",\n \"score\": \"0.6981631\",\n \"text\": \"public void setComponentId(String componentId) {\\n this.componentId = componentId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7b15ac861effd381d03f19d3cb5d5e9\",\n \"score\": \"0.6682087\",\n \"text\": \"public void setComponentId(Uid componentId)\\n\\t{\\n\\t\\tthis.componentId = componentId;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6c6c375d6d62fbfa8c27ea7010598d9\",\n \"score\": \"0.6649814\",\n \"text\": \"public void setPortlet(javax.portlet.Portlet portlet);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ccb168d959eee95cbfedca3717e06f6a\",\n \"score\": \"0.6646791\",\n \"text\": \"@StrutsTagAttribute(description = \\\"The id to assign to the component.\\\", required = true)\\n public void setId(String id) {\\n super.setId(id);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4a112a373f31725a8aed1a163ebf66f3\",\n \"score\": \"0.6527853\",\n \"text\": \"@Override\\n\\tpublic String getPortletId() {\\n\\t\\treturn PORTLET_ID;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da947404e9e7c6ff07936a65135f00f6\",\n \"score\": \"0.61273354\",\n \"text\": \"public void setIdcompte( int idcompte ) {\\r\\n this.idcompte = idcompte;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d0fe0642dda6ed5ae6a2bcbd27ad5bc3\",\n \"score\": \"0.6121555\",\n \"text\": \"private void setDeptId() {\\n String deptId = getId();\\n\\n // If the pattern matches then the given id is set to deptId\\n if (validId(deptId)) {\\n deptId = reverseString(deptId);\\n this.deptId = deptId;\\n }\\n // otherwise a default value of None01 should be assigned.\\n else {\\n this.deptId = \\\"None01\\\";\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"61e8667c1e6a8fe1660705de0a34d386\",\n \"score\": \"0.5953223\",\n \"text\": \"void setId(int id) {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"971aa42f19af90feaec5948205bd36b1\",\n \"score\": \"0.5935268\",\n \"text\": \"public void setId( String value )\\n {\\n id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c81f3ebd6a30276b9def9049be31ecbb\",\n \"score\": \"0.59072137\",\n \"text\": \"public void setIdComponent(ComponentSystemEvent event) {\\n\\t\\tsetComponents(event.getComponent());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b623f07ce6dfb307721206161d893ead\",\n \"score\": \"0.5902416\",\n \"text\": \"@Override\\n\\tpublic void setId(Object id) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"be75f8a5f4bef4a6831a2b43fdf321f7\",\n \"score\": \"0.5887017\",\n \"text\": \"public void setId(String value) {\\n id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"be75f8a5f4bef4a6831a2b43fdf321f7\",\n \"score\": \"0.5887017\",\n \"text\": \"public void setId(String value) {\\n id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"72d7028bb187206838cf49f6b542916e\",\n \"score\": \"0.58740103\",\n \"text\": \"public void setId(int p_id) {\\n this.id = p_id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92e4e69790362c300bc3268df704a4fd\",\n \"score\": \"0.5861144\",\n \"text\": \"public void setId( int id){\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e90cca641ddfbfce90d775cc605583b\",\n \"score\": \"0.58560425\",\n \"text\": \"private void setId(String inId) {\\n this.id = inId;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f0320d2408d39c901e0c2a5a48002b0\",\n \"score\": \"0.5855163\",\n \"text\": \"@Override\\r\\n public void setId(Object id){\\r\\n super.setId(id);\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"be8c607127da0adf013faa73892a0bd3\",\n \"score\": \"0.5850913\",\n \"text\": \"public void setId(int value) {\\r\\n this.id = value;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"be8c607127da0adf013faa73892a0bd3\",\n \"score\": \"0.5850913\",\n \"text\": \"public void setId(int value) {\\r\\n this.id = value;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e971af61bbc5fe76014138313264e994\",\n \"score\": \"0.58399886\",\n \"text\": \"public void setId(String id){\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"927fc7a52ac6dc525e0fd021adc80d43\",\n \"score\": \"0.58386165\",\n \"text\": \"public void setId(java.lang.String value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"927fc7a52ac6dc525e0fd021adc80d43\",\n \"score\": \"0.58386165\",\n \"text\": \"public void setId(java.lang.String value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef17a57a239b4b34c52957d1be740436\",\n \"score\": \"0.58374256\",\n \"text\": \"void setId(Object id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d84690f507f0d1fc069dedf4b58c539\",\n \"score\": \"0.58296245\",\n \"text\": \"public String getComponentId() {\\n return componentId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ca94c0eae6a63f850efb317075aa722f\",\n \"score\": \"0.5828792\",\n \"text\": \"public void setId(int id) {\\r\\n\\t this.id = id;\\r\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"765049c5a4fe882245c9a6b58e7e05e0\",\n \"score\": \"0.58237463\",\n \"text\": \"public void setid(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a52c52647be615a94d191db3e24d11ba\",\n \"score\": \"0.58215743\",\n \"text\": \"public void setId(long id){\\r\\n \\tthis.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0ff171c8bbc230dd635e6ae23f430c77\",\n \"score\": \"0.5807813\",\n \"text\": \"public void setId(int id){\\r\\n this.id=id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db7b60abaecbe3bb6fa2b6ef773fbde0\",\n \"score\": \"0.57987714\",\n \"text\": \"protected String getPortletId(RichPanelBox panel) {\\n List lista = panel.getChildren();\\n Iterator it = lista.iterator();\\n while (it.hasNext()) {\\n Object comp = it.next();\\n if (comp != null &&\\n comp instanceof RichDynamicDeclarativeComponent) {\\n RichDynamicDeclarativeComponent declarative =\\n (RichDynamicDeclarativeComponent)comp;\\n Object obj = declarative.getAttributes().get(\\\"PortletId\\\");\\n return (String)obj;\\n }\\n }\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6578eac763fea79215ed8a7cb0982e84\",\n \"score\": \"0.57848763\",\n \"text\": \"public void setId(int idCompet) {\\n\\t\\tidCompetition = idCompet;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b86615bc0af2b5bd43189fe704a72fde\",\n \"score\": \"0.5782708\",\n \"text\": \"public long getIDComponent()\\r\\n {\\r\\n return mIDComponent;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"49e691d984094718c4acd9e8f8e21313\",\n \"score\": \"0.578197\",\n \"text\": \"void setID(int id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"49e691d984094718c4acd9e8f8e21313\",\n \"score\": \"0.578197\",\n \"text\": \"void setID(int id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"587c5ffe75e306b5f1d6bef3300536a1\",\n \"score\": \"0.57771057\",\n \"text\": \"public void setId(int id){\\n this.id=id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"412fd7fbd8dd3b03b76e36e87c0fd5d0\",\n \"score\": \"0.5776532\",\n \"text\": \"public void setId(java.lang.String param){\\n localIdTracker = true;\\n \\n this.localId=param;\\n \\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fc94dae235ee4d4c2f364638f06d505a\",\n \"score\": \"0.57735807\",\n \"text\": \"public void setId(String id)\\r\\n {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cfd4852e0c4cf882dfdd6ade2221a54b\",\n \"score\": \"0.5773026\",\n \"text\": \"public void setId(String val) {\\n id = val;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d5a6d824ebede22d07a3ac5569a9b13\",\n \"score\": \"0.5761107\",\n \"text\": \"public void setId(String id)\\r\\n {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"caa83a8cfdd327ac640694bc7b6001c7\",\n \"score\": \"0.57577544\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d7f8e9496bea0225f80934f39b3915a\",\n \"score\": \"0.57532626\",\n \"text\": \"public void setID(int id){\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e5e40506424a106f08233550ccf6c471\",\n \"score\": \"0.5753037\",\n \"text\": \"public void setId(int id){\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a1a3ebf23852a2c1b56235bb4a845055\",\n \"score\": \"0.57490087\",\n \"text\": \"public void setId(long id){\\r\\n\\t\\tthis.id = id;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.57406145\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.57406145\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.57406145\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.57406145\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.57406145\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.57406145\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.57406145\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"519f45d8e6617dfda5352225f70bfa2a\",\n \"score\": \"0.5740559\",\n \"text\": \"public void setId(String id){\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d6f698d3cd8989a81559430e42b3c5c5\",\n \"score\": \"0.574031\",\n \"text\": \"public void setId(int id) {\\n Id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0f197b8ce8f94cf80aef259dd8c90fe\",\n \"score\": \"0.5738526\",\n \"text\": \"public void setId(int id) {\\n // Setting the variable to the attribute without the uses of a scanner\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ebb3ac595155a781dbc6416da4ade58\",\n \"score\": \"0.5738513\",\n \"text\": \"public void setId(long id){\\n this.id=id; \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d781bc213b63f37f826edef4350867b\",\n \"score\": \"0.5738264\",\n \"text\": \"@Override\\n\\tpublic void setId(int id) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f4a12839fb485152ca60d5c50adc1340\",\n \"score\": \"0.5737523\",\n \"text\": \"public void setId(long id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"119e0696d77ccecbcade609d390feb35\",\n \"score\": \"0.5736649\",\n \"text\": \"void setID(String tslID);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a7581a7298386eaae3e1d5363790d56\",\n \"score\": \"0.5735588\",\n \"text\": \"public void setId(String id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a7581a7298386eaae3e1d5363790d56\",\n \"score\": \"0.5735588\",\n \"text\": \"public void setId(String id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a7581a7298386eaae3e1d5363790d56\",\n \"score\": \"0.5735588\",\n \"text\": \"public void setId(String id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5149ce7045addbec7e621198a6e6bfdb\",\n \"score\": \"0.57327276\",\n \"text\": \"public void setPortletConfig(javax.portlet.PortletConfig portletConfig);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e177e8826bbe0224794d9b3694452d40\",\n \"score\": \"0.57322234\",\n \"text\": \"@Override\\n public void setId(String id)\\n {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"498ab3b87690d17fe0d4d2791ff2662d\",\n \"score\": \"0.5725856\",\n \"text\": \"public void setId(long id) { this.id = id; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"498ab3b87690d17fe0d4d2791ff2662d\",\n \"score\": \"0.5725856\",\n \"text\": \"public void setId(long id) { this.id = id; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a3d8cb16a6d32c2e41aa5ad721ee8f4\",\n \"score\": \"0.5724033\",\n \"text\": \"public void setId(long id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a3d8cb16a6d32c2e41aa5ad721ee8f4\",\n \"score\": \"0.5724033\",\n \"text\": \"public void setId(long id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a3d8cb16a6d32c2e41aa5ad721ee8f4\",\n \"score\": \"0.5724033\",\n \"text\": \"public void setId(long id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"985c1ae3a2ac7ce21acd3bb8697567cd\",\n \"score\": \"0.5723516\",\n \"text\": \"public void setId(long id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ecebbfba073589c21c0bb07938fd1cdf\",\n \"score\": \"0.57228255\",\n \"text\": \"void setId(java.lang.String id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ecebbfba073589c21c0bb07938fd1cdf\",\n \"score\": \"0.57228255\",\n \"text\": \"void setId(java.lang.String id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"045747e4da07ee824b41cb88099a3250\",\n \"score\": \"0.5721665\",\n \"text\": \"void setId(String id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"045747e4da07ee824b41cb88099a3250\",\n \"score\": \"0.5721665\",\n \"text\": \"void setId(String id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"045747e4da07ee824b41cb88099a3250\",\n \"score\": \"0.5721665\",\n \"text\": \"void setId(String id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ad4c05b4499e5f22acafab51b52c672\",\n \"score\": \"0.5719192\",\n \"text\": \"public void setId (long id) {\\r\\n\\t\\tthis.id = id;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3bedf3c23da6b0b6ef0fb244063f8195\",\n \"score\": \"0.5717209\",\n \"text\": \"void setId(long id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"61f37c54dc8b9a584692be2d94dda00b\",\n \"score\": \"0.5716848\",\n \"text\": \"public Uid getComponentId()\\n\\t{\\n\\t\\treturn componentId;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d5190a065b6d94193f5e679257059b1c\",\n \"score\": \"0.5714323\",\n \"text\": \"public void setId(int tileId) {\\n\\t\\tthis.tileId = tileId;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"15883bd73a05ef8d23a889733cd94089\",\n \"score\": \"0.5713762\",\n \"text\": \"public void setid(int id) {\\r\\n\\r\\n this.id = id;\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d780338f207855a82c75adaaef8eb893\",\n \"score\": \"0.57121634\",\n \"text\": \"public void setId(long value) {\\r\\n this.id = value;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17b08b6c3d7d677821b0b98cdd1c0b87\",\n \"score\": \"0.57063246\",\n \"text\": \"public void setId(int p_id) {\\n this.d_id = p_id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f397bffe205e72905a54a9d25c62fe24\",\n \"score\": \"0.5702205\",\n \"text\": \"public void setId(final int id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7da148a5ba747df138461ed430706b1d\",\n \"score\": \"0.57011646\",\n \"text\": \"public void setId(String id) {\\n // empty\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"096c7bc3fa7aacb3f0a29020389b6914\",\n \"score\": \"0.5700667\",\n \"text\": \"void setId(int id) {\\n _id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70916f9e9eaec608faa71f4d1e5fa8a3\",\n \"score\": \"0.5700302\",\n \"text\": \"public void setId(String id) {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70916f9e9eaec608faa71f4d1e5fa8a3\",\n \"score\": \"0.5700302\",\n \"text\": \"public void setId(String id) {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70916f9e9eaec608faa71f4d1e5fa8a3\",\n \"score\": \"0.5700302\",\n \"text\": \"public void setId(String id) {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70916f9e9eaec608faa71f4d1e5fa8a3\",\n \"score\": \"0.5700302\",\n \"text\": \"public void setId(String id) {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12b6e591b554f388e11a9ce9c084023e\",\n \"score\": \"0.56992835\",\n \"text\": \"public void setId(String id) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ea79aec52cf0fac47d749990e084ab16\",\n \"score\": \"0.5694915\",\n \"text\": \"public void setId(long param){\\n localIdTracker = true;\\n \\n this.localId=param;\\n \\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ab17ca223c9aa7615cd5de9dfe79c8b\",\n \"score\": \"0.5694756\",\n \"text\": \"public void setId(int id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ab17ca223c9aa7615cd5de9dfe79c8b\",\n \"score\": \"0.5694756\",\n \"text\": \"public void setId(int id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ab17ca223c9aa7615cd5de9dfe79c8b\",\n \"score\": \"0.5694756\",\n \"text\": \"public void setId(int id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ab17ca223c9aa7615cd5de9dfe79c8b\",\n \"score\": \"0.5694756\",\n \"text\": \"public void setId(int id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ab17ca223c9aa7615cd5de9dfe79c8b\",\n \"score\": \"0.5694756\",\n \"text\": \"public void setId(int id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9053e93c93f7375308406b693455fe7c\",\n \"score\": \"0.56904626\",\n \"text\": \"public void setId(String id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9053e93c93f7375308406b693455fe7c\",\n \"score\": \"0.56904626\",\n \"text\": \"public void setId(String id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"94e19d7d5f3a4ed2767d2246bd5e5e22\",\n \"score\": \"0.568907\",\n \"text\": \"public void setId(int id) {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"94e19d7d5f3a4ed2767d2246bd5e5e22\",\n \"score\": \"0.568907\",\n \"text\": \"public void setId(int id) {\\n this.id = id;\\n }\",\n \"title\": \"\"\n 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query_id stringlengths 32 32 | query stringlengths 7 129k | positive_passages listlengths 1 1 | negative_passages listlengths 88 101 |
|---|---|---|---|
a68a80cdf99151fd2556b4cb48750520 | If true, other symbols can be visible even if they collide with the text. | [
{
"docid": "28fba065ac7b8c6664291f466435bfd9",
"score": "0.0",
"text": "public static Property<Boolean> textIgnorePlacement(Boolean value) {\n return new LayoutProperty<>(\"text-ignore-placement\", value);\n }",
"title": ""
}
] | [
{
"docid": "99802541124c6e637b75c41ec808cc19",
"score": "0.6076243",
"text": "boolean isTextVisible();",
"title": ""
},
{
"docid": "9157db6ccf2cde50050fd39e872c577c",
"score": "0.60007215",
"text": "public void showSymbol() {\n\n text.show();\n hiddenFlag = false;\n ... |
3aafc16666e4a0c1212aa17cd5127daf | This method was generated by MyBatis Generator. This method corresponds to the database table b_dic_tree_code | [
{
"docid": "904d5673293435087f8a6dabcda3203a",
"score": "0.55075186",
"text": "public static Criteria newAndCreateCriteria() {\n BDicTreeCodeExample example = new BDicTreeCodeExample();\n return example.createCriteria();\n }",
"title": ""
}
] | [
{
"docid": "b551d1faa73361f5fd842741c17058e9",
"score": "0.59891003",
"text": "@Override\r\n\tpublic Code selectCode(Map<String, String[]> map) throws SQLException {\n\t\t\r\n\t\tJPAQuery query = new JPAQuery(entityManager);\r\n\r\n\t\tQCode code = QCode.code;\r\n\t\tCode codeList = null;\r\n\t\tif(map.... |
6cf41965387abc2fd9e5ee941b4e6a6e | The ID of the linked test. Getter method for the COM property "LinkTestID" | [
{
"docid": "cc3a78b28d3e9a7f2ab0c4e47e304d76",
"score": "0.7800222",
"text": "@DISPID(20)\n\t// = 0x14. The runtime will prefer the VTID if present\n\t@VTID(34)\n\tint linkTestID();",
"title": ""
}
] | [
{
"docid": "54ca259b6adf94fc58a7ff9c4cfbaf5a",
"score": "0.7002507",
"text": "public Long getTestId() {\n return testId;\n }",
"title": ""
},
{
"docid": "1d42b49c862e735f5ef088810ffbeb7d",
"score": "0.68745005",
"text": "public int getIdTest() {\n return idTest;\n ... |
cec83f6711f84205ebc69f745dfac2bb | Returns Boolean true if the filter was successfully uninstalled, otherwise false. | [
{
"docid": "015555af3e1a6160b4441cb4211bf7d6",
"score": "0.0",
"text": "JsonNode core_getFilterChanges(String id) throws Throwable;",
"title": ""
}
] | [
{
"docid": "4d2d23c7c7cd6889763e10c39abab9e4",
"score": "0.6817766",
"text": "Boolean core_uninstallFilter(String id) throws Throwable;",
"title": ""
},
{
"docid": "dcea1bc55163b10593b64d660b6e9cc5",
"score": "0.65205824",
"text": "public boolean uninstall() {\n if (!wasInstal... |
e0d6a392af2ab36941030b500ab23048 | Get the description of this command. | [
{
"docid": "e8bca41ceae2774b4bff64dec7a35264",
"score": "0.0",
"text": "public String getDescription(){\n return desc;\n }",
"title": ""
}
] | [
{
"docid": "7e39f28f029a1e05c59db5f8e4753682",
"score": "0.770685",
"text": "public final String getDescription() {\n\t\treturn desc;\n\t}",
"title": ""
},
{
"docid": "6cb8c6c791358b88cb33b732ada80b23",
"score": "0.7697507",
"text": "public String getDescription() {\n return d... |
ddfe943177024f55b46879514f71ef6a | This function removes any duplicate items in the input synset. | [
{
"docid": "e6f3edf3801649e7b93af2dfa6aee05f",
"score": "0.63851535",
"text": "private Synset[] removeDuplicates( Synset[] a ) {\n\t\t\n\t\tif( a == null ) { return null; }\n\t\t\n\t\tArrayList<Synset> noDuplicates = new ArrayList<Synset>();\n\t\t\n\t\tfor( int i = 0; i < a.length; i++ ) {\n\t\t\t\n\t\t... | [
{
"docid": "88cff39636baf153f6d756a3bd9579de",
"score": "0.6949233",
"text": "public void removeDuplicates() {\n removeDuplicates(null);\n }",
"title": ""
},
{
"docid": "4a84688ac383e3ccf33b4ec273b8106b",
"score": "0.6721266",
"text": "public void removeDuplicatesSet() {\n\n\t\ti... |
033fccaed2ff16401f70b1ecca3f237f | testing runnable with thread. | [
{
"docid": "7ad58ef106da5f51c687522a2f25b4e9",
"score": "0.0",
"text": "public void downloadImage(View view) {\n url = mEditText.getText().toString();\n Thread myThread = new Thread(new MyRunnable(url));\n myThread.start();//\n\n /**Pattern 1, AsyncTask\n */\n ... | [
{
"docid": "9e79df83df1dd77eb059fea70e5bac22",
"score": "0.7031971",
"text": "public void threadRun() {\n }",
"title": ""
},
{
"docid": "136b7b4e29becaff47bef622a3ee7747",
"score": "0.6981998",
"text": "@Test\n public void testRun() {\n System.out.println(\"run\");\n ... |
a14578086d12a3950df1a7b02a5b0192 | Get the list of Subscribers added to this Channel. | [
{
"docid": "fb78e25796cadd1221a4521737fd874f",
"score": "0.7118645",
"text": "List<Subscriber> getSubscriberList();",
"title": ""
}
] | [
{
"docid": "1bb6bd796a0cb3d0811aeeca3567f4ce",
"score": "0.73425865",
"text": "@Override\n public List<Flow.Subscriber> getSubscriberList() {\n return this.subscribers;\n }",
"title": ""
},
{
"docid": "f71003f92cc4022314e6a3ae19f0c4d0",
"score": "0.72881764",
"text": "ja... |
eca2c12698768e51e350a1620ab4f26c | Gets the value of the CatastropheNumber field. Catastrophe number. | [
{
"docid": "bd355f380c7312a47d869347abd1814d",
"score": "0.83457005",
"text": "@gw.internal.gosu.parser.ExtendedProperty\n public java.lang.String getCatastropheNumber() {\n return (java.lang.String)__getInternalInterface().getFieldValueForCodegen(CATASTROPHENUMBER_PROP.get());\n }",
"tit... | [
{
"docid": "3e7fc2045b73521483fc03f582bdb901",
"score": "0.83239406",
"text": "@gw.internal.gosu.parser.ExtendedProperty\n public java.lang.String getCatastropheNumber() {\n return (java.lang.String)__getInternalInterface().getFieldValueForCodegen(CATASTROPHENUMBER_PROP.get());\n }",
"title": "... |
dc19a4befecf4c8eb961f2179be38b50 | / Add by yuanhong.dai | [
{
"docid": "966940189c7e40a7d309af6343e50d54",
"score": "0.0",
"text": "public void setCustomContentView(int layoutResId, boolean isFillParent) {\n\t\tif (mContentLayout == null) {\n\t\t\tmContentLayout = (LinearLayout)findViewById(R.id.content);\n\t\t}\n\t\tif (mContentLayout != null) {\n\t\t\tLayoutIn... | [
{
"docid": "cf96c7e783d111d25424a84611b1006f",
"score": "0.7253231",
"text": "public static void add() {\n\t}",
"title": ""
},
{
"docid": "14f4bf1b0a15c430eec00ce5bb452c8a",
"score": "0.719267",
"text": "@Override\n\t\t\tpublic void add() {\n\t\t\t\t\n\t\t\t}",
"title": ""
},
... |
50110fd17a4f13498285036445500382 | Takes two args, a directory containing the boot.xml and state log files, and an output filename. | [
{
"docid": "5f285b972f6f210f121c6f3dd7ff5d3c",
"score": "0.6049836",
"text": "private void cli (String[] args)\n {\n if (args.length != 2) {\n System.out.println(\"Usage: <analyzer> dir output-file\");\n return;\n }\n dataFilename = args[1];\n Path dir = Paths.get(args[0]);\n /... | [
{
"docid": "db8e1c2045a7798c16be03cdf9b3998f",
"score": "0.57146513",
"text": "String provideOutputFileName();",
"title": ""
},
{
"docid": "7acd01c5294af4d786d6af98c1cd480d",
"score": "0.56916475",
"text": "public static void main(String[] args)\n\t{\n\t\tif(args.length < 2) return;\... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "26725aac5a3bc4e64dcc4805d4515a49",
"score": "0.0",
"text": "public int insertQna(Connection conn, Qna qna) {\n\t\treturn 0;\n\t}",
"title": ""
}
] | [
{
"docid": "c4efc9f9911178a27ec9261384d5f141",
"score": "0.66616714",
"text": "public void mo12644zk() {\n }",
"title": ""
},
{
"docid": "81758c2988d9979c7d4b3fd5b3cce0e5",
"score": "0.6566483",
"text": "@Override\r\n\tpublic void pular() {\n\r\n\t}",
"title": ""
},
{
... |
033d91efa03747288c0ab36ef9a7713a | This method is called from within the constructor to initialize the form. WARNING: Do NOT modify this code. The content of this method is always regenerated by the Form Editor. //GENBEGIN:initComponents | [
{
"docid": "409a3337258eb7097165ab21d31d4c6e",
"score": "0.0",
"text": "private void initComponents() {\n\n javax.swing.JLabel appTitleLabel = new javax.swing.JLabel();\n javax.swing.JLabel versionLabel = new javax.swing.JLabel();\n javax.swing.JLabel appVersionLabel = new javax.swi... | [
{
"docid": "5f8540ed063cf75672e07098d5395e1e",
"score": "0.8090149",
"text": "private void initComponents() {//GEN-BEGIN:initComponents\n\n }",
"title": ""
},
{
"docid": "2287f52584247b61ab31ac13b172fd61",
"score": "0.74044603",
"text": "public mainform() {\n initComponents... |
e43a0cdd19bf5bc92c392b65dbdbea0d | Interface definition for a callback to be invoked when a view is clicked. | [
{
"docid": "4f72166cf6081636404108be2365c1b6",
"score": "0.71275723",
"text": "public interface OnClickListener {\n /**\n * Called when a view has been clicked.\n *\n * @param dialog The view that was clicked.\n */\n void onClick(ZDialog dialog);\n }",
... | [
{
"docid": "4ab6008232d0fb4f7555b12a3ae61f29",
"score": "0.8053477",
"text": "public interface Callback {\n\n void onViewClicked(int position);\n}",
"title": ""
},
{
"docid": "d9bff315dd1439dfbe5bfbe879db8aeb",
"score": "0.73295105",
"text": "public interface ItemClickCallback {\... |
7132a59f0f0b55933fc25c6b4a454442 | For START_TAG or END_TAG events, the (local) name of the current element is returned when namespaces are enabled. When namespace processing is disabled, the raw name is returned. For ENTITY_REF events, the entity name is returned. If the current event is not START_TAG, END_TAG, or ENTITY_REF, null is returned. Please n... | [
{
"docid": "ae29b23d4e80f8b60e5029150926b84a",
"score": "0.0",
"text": "public String getName() {\n return this.name;\n }",
"title": ""
}
] | [
{
"docid": "1e4a76ef53cc6b74908b4e048259cdd8",
"score": "0.75860304",
"text": "public String getLocalName() {\r\n\t\tif (event != START_ELEMENT && event != END_ELEMENT) throw new IllegalStateException();\r\n\t\treturn localName;\r\n\t}",
"title": ""
},
{
"docid": "e5171ef9203158ab667b15147f5... |
263dcb9838302d75cdd3db372cfbdb5b | Inflate the layout for this fragment | [
{
"docid": "2972ddbe8ce810d3cf8a3c880fabd0b6",
"score": "0.0",
"text": "@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view= inflater.inflate(R.layout.fragment_color, container, false);\n ... | [
{
"docid": "9889cfe738b7e9b399fedfcc374cd8be",
"score": "0.6940545",
"text": "@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup parent, Bundle savedInstanceState) {\n // Defines the xml file for the fragment\n return inflater.inflate(R.layout.fragment_feed, parent,... |
e10492abc0dfb27dd597d561f2f26f9b | Helper method to build the URL used to call the API. | [
{
"docid": "39d3b6cc03a50c2adae1142f7b29e945",
"score": "0.57705444",
"text": "@Override\n\tprotected String buildURL(Hashtable<String, String> data) {\n String sURL = NISUtils.getURL()\n + \"/nis/nwapi/v2/customer/\" + data.get(CUSTOMER_ID)\n + \"/notificationprefer... | [
{
"docid": "c5e537205e4682ad65160553b552c2ac",
"score": "0.7448047",
"text": "public String buildURLString() {\n if (type == TYPE_MY_COURSE) {\n return Flinnt.API_URL + Flinnt.URL_MY_COURSES;\n } else {\n return Flinnt.API_URL + Flinnt.URL_COURSE_COMMUNITY_LIST;\n ... |
4b6dd5f5d63d13ee8da1adc6293a2cfa | Unmarshals a native MsgArg into a Java object. | [
{
"docid": "8a0dbca6abf06a5f64da4d734cad84a8",
"score": "0.62818503",
"text": "@SuppressWarnings(\"unchecked\")\n public static Object unmarshal(long msgArg, Type type) throws MarshalBusException {\n // Verify msgArg is valid\n if (msgArg == 0) {\n throw new MarshalBusExcepti... | [
{
"docid": "0263214f7bd71242170128f0499dd07a",
"score": "0.57873756",
"text": "public static void marshal(long msgArg, String sig, Object arg) throws BusException {\n try {\n int value = getEnumValue(arg);\n switch (sig.charAt(0)) {\n case ALLJOYN_BYTE:\n ... |
cf65adec0d3f757e0048a062b7394698 | / You are given an integer array nums consisting of 2 n integers. You need to divide nums into n pairs such that: Each element belongs to exactly one pair. The elements present in a pair are equal. Return true if nums can be divided into n pairs, otherwise return false. Example 1: Input: nums = [3,2,3,2,2,2] Output: tr... | [
{
"docid": "4ccfd627a234b79ddd54960fbec9ff2b",
"score": "0.0",
"text": "@Test\n public void test() {\n TestUtil.testEquals(new Object[][]{\n {true, new int[]{3, 2, 3, 2, 2, 2}},\n {false, IntStream.range(1, 5).toArray()}\n });\n }",
"title": ""
}
] | [
{
"docid": "2229105a8db4fbfbb0369a93c97e3419",
"score": "0.7503811",
"text": "public static boolean canPartition(int[] nums) {\n if (nums.length < 2) {\n return false;\n }\n\n int len = nums.length;\n int sum = 0;\n for (int x : nums) {\n sum += x... |
ad607c3477515c914428ab5a3b6cbcc6 | Creates a new instance of MessageController | [
{
"docid": "6cf881287a6399a7656749b5c4e7d83d",
"score": "0.7106945",
"text": "public MessageController() \n {\n messageProperty = \"Used to instantiate the bean\";\n // obtenemos el valor de la propedad ExampleMessage del message bundle: bundle.propiedades\n FacesMessage facesMsg... | [
{
"docid": "8b36164097aad0ff3e834b578211d0b8",
"score": "0.78546506",
"text": "public MessageController() {\n }",
"title": ""
},
{
"docid": "c9b5eb6aec36efaedd47dd4feb65084b",
"score": "0.71261",
"text": "static public MessageController getInstance() {\n return instance;\n ... |
0616cce95078edc8ca08bbe6a4e13ed8 | hardcoded url. can be easily replaced by input arg | [
{
"docid": "03733d01a9b58366645af9924d24ae12",
"score": "0.0",
"text": "public static void main( String[] args )\n {\n \tString url = \"http://hiring-tests.s3-website-eu-west-1.amazonaws.com/2015_Developer_Scrape/5_products.html\";\n \t\n \t// build input object\n \tApplicationInputDataPo... | [
{
"docid": "d316f50b4cec484ffd45a44495b4174f",
"score": "0.6723868",
"text": "public void setUrlEdit(java.lang.String param){\n \n this.localUrlEdit=param;\n \n\n }",
... |
9238c0df056910d9f14600c9307347a8 | / renamed from: com.tencent.mm.ui.base.MMSlideDelView$c | [
{
"docid": "dd2614b56bfa8d3f54fcf6121a52579b",
"score": "0.0",
"text": "public interface C15521c {\n /* renamed from: cZ */\n int mo8831cZ(View view);\n }",
"title": ""
}
] | [
{
"docid": "5f3c81ff95bc09790815410cf01f8f24",
"score": "0.74755144",
"text": "void mo25718a(MMSlideDelView mMSlideDelView, boolean z);",
"title": ""
},
{
"docid": "fe1b2ccd81f35ddba9dbbe40c99678b7",
"score": "0.6394678",
"text": "public final void mo25718a(MMSlideDelView mMSlideDelV... |
1a022645dc7f429f91f38f3e3827e4c8 | TODO: Get info about the selected place. textView.setText(place.getName()+","+place.getId()); Log.i(TAG, "Place: " + place.getName() + ", " + place.getId()); | [
{
"docid": "5336b1b59342b2a89676c73502dbd07c",
"score": "0.8009797",
"text": "@Override\n public void onPlaceSelected(Place place) {\n\n place_str[0] = place.getName() + \",\" + place.getId();\n }",
"title": ""
}
] | [
{
"docid": "cefa4662506d615c789f6f42c64b9fcb",
"score": "0.81111795",
"text": "@Override\n public void onPlaceSelected(Place place) {\n Log.i(TAG, \"Place: \" + place.getName());\n editTextBusinessName.setText(place.getName());\n editTextLocation.s... |
e45132c58fb1b8bb9f45d2875cea983c | This is a workaround for the ServiceLoader FIXME use the | [
{
"docid": "cb37426a5fa05369bb82c2806d25e903",
"score": "0.0",
"text": "private void init() {\n\t\tRDFWriterRegistry.getInstance().add( new CLPWriterFactory() );\n\t\tRDFParserRegistry.getInstance().add( new CLPParserFactory() );\n\t\tRDFWriterRegistry.getInstance().add( new TurtleWriterFactory() );\n\t... | [
{
"docid": "ad92ae79bbd8974426aeb609bba9728a",
"score": "0.6613837",
"text": "public ServiceLoad get();",
"title": ""
},
{
"docid": "453c1058b6a66718a7608b75481bb61d",
"score": "0.6588253",
"text": "private ServiceLocator() {\r\n\t}",
"title": ""
},
{
"docid": "923714f4ad... |
4ab161f0e2d82ef33dd6ab2f27986449 | Adds a market transaction that includes both a cash component and a product commitment for a specific timeslot. | [
{
"docid": "bf28e6626f3ccb7bf2a119e502f9c3f4",
"score": "0.78222126",
"text": "MarketTransaction addMarketTransaction(Broker broker, Timeslot timeslot,\n double price, double quantity);",
"title": ""
}
] | [
{
"docid": "cca40ba52356bea8ed6f1df7505b41ae",
"score": "0.57817596",
"text": "private void submitOrder(double neededMWh, double price, int timeslot) {\n\n System.out.println(\"new order for \" + neededMWh + \" at \" + price + \" for timeslot \"+timeslot);\n Order order = new Order(broker.getBroke... |
56207a90b8382da11a74ef7df06d79bc | setting User Medical Aid value using builder pattern | [
{
"docid": "b8043bf0c4be792e34105497c5b18fb9",
"score": "0.588958",
"text": "public Builder setUserMedicalAidNumber(int userMedicalAidNumber){\n this.userMedicalAidNumber = userMedicalAidNumber;\n return this;\n }",
"title": ""
}
] | [
{
"docid": "99be233f007c1840889925dcd6f33628",
"score": "0.8097221",
"text": "private MedicalAid (Builder builder){\n this.userId = builder.userId;\n this.userMedicalAidNumber = builder.userMedicalAidNumber;\n this.medicalAidName = builder.medicalAidName;\n this.medicalAidSch... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "223147d9dfffb9bfb4a8740d4c39ff39",
"score": "0.0",
"text": "@Override\r\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tIntent i4 = new Intent(getBaseContext(), SignUp.class);\r\n\t\t\t\tstartActivity(i4);\r\n\t\t\t\tfinish();\r\n\t\t\t}",
"title": ""
}
] | [
{
"docid": "d7194e467f51e022c107531d8614b6a3",
"score": "0.6905833",
"text": "@Override\r\n\tpublic void anular() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "cdf542363f5b089e84183e3d9020935f",
"score": "0.6697644",
"text": "@Override\n\t protected void ramana() {\n\t\t\n\t}",
"ti... |
3be639eb030258659430f42b4447575c | Update the brightness of all lights | [
{
"docid": "2f71f7524d53bb7feb8d2dfec28998f5",
"score": "0.6972439",
"text": "protected void setBrightnessAll(final int brightness) {\n Preconditions.checkArgument(brightness >= 0 && brightness <= 100);\n for (final Map.Entry<ProviderName, Provider<?, ?>> entry : providers.entrySet()) {\n ... | [
{
"docid": "f605b8bcfdfaecdc7642dfa991b1fe02",
"score": "0.7573627",
"text": "private void updateLight() {\r\n\t}",
"title": ""
},
{
"docid": "ff045a32cc44a337b8f7586a6cfbe660",
"score": "0.7070587",
"text": "public int changingBrightness(int[][] lightsBrightness){\n int brightnes... |
ff9daccdfee3f03a2d9173da331bb49f | Makes cast pattern black when game is stopped in oneplayer mode | [
{
"docid": "97822eecd3eee3395a90970ea2f1cfcd",
"score": "0.7625309",
"text": "private void stopCastPattern() {\r\n PresentationService presentationService = (PresentationService) CastRemoteDisplayLocalService.getInstance();\r\n if (presentationService != null)\r\n presentationSe... | [
{
"docid": "a9c4dd7e724744f1d2457bc98c4ab530",
"score": "0.65238005",
"text": "@Override\n\tprotected void disPlay() {\n\t\tsuper.disPlay();\n\t\t\n\t\tSystem.out.println(\"Model 颜色鸭子\");\n\t}",
"title": ""
},
{
"docid": "c78fb755b5613d6bfcfbabbfbbb41e8c",
"score": "0.6086086",
"text... |
c7a9366c76ed1efb6f69a87edbe1d0c6 | Returns all translations from given TranslatedText elements according to their language code. | [
{
"docid": "91ce851c51e7851b64ef7391d14e6e2f",
"score": "0.5979625",
"text": "public static Map<String, String> getTranslations(List<ODMcomplexTypeDefinitionTranslatedText> translatedTextList) {\n Map<String, String> result = new HashMap<>();\n // Loop through all translated texts\n ... | [
{
"docid": "8b6575c49831564a052b8eea749644cc",
"score": "0.57408327",
"text": "public List<EunisISOLanguagesPersist> getTranslatedLanguages() {\n final List<EunisISOLanguagesPersist> languages = new Vector<EunisISOLanguagesPersist>();\n\n try {\n final List<WebContentPersist> it... |
98a936a9b3590cb7ab4056cf5d67a999 | Get one tower by id. | [
{
"docid": "334bd781bf1117f769d72260f23370fe",
"score": "0.78446496",
"text": "@Override\n @Transactional(readOnly = true)\n public Optional<Tower> findOne(Long id) {\n log.debug(\"Request to get Tower : {}\", id);\n return towerRepository.findById(id);\n }",
"title": ""
}
] | [
{
"docid": "194b8ace6d77b10ad2bdb2be749789f7",
"score": "0.7446534",
"text": "public Tower getTowerById(int id) {\n\n String sql = \"SELECT costToBuild, attackSpeed, attackRange, attackDamage FROM Towers WHERE \"\n + \"Towers.id == ? ;\";\n\n try (Connection conn = this.conn... |
004a42ff6d8b0c9bad6463ed22bb85ad | Decrypt the given ciphertext message. Decrypt the given ciphertext message. | [
{
"docid": "cd5760744386d3ab303d020ad11c3f21",
"score": "0.0",
"text": "public static BigInteger decrypt(BigInteger message,BigInteger d1,BigInteger n1) {\n\t //System.out.println(\"Key \"+d);\n return message.modPow(d1,n1);\n }",
"title": ""
}
] | [
{
"docid": "ff18dc72dc3a241e4a7995070356d981",
"score": "0.7233835",
"text": "public void decrypt\n\t\t(byte[] text);",
"title": ""
},
{
"docid": "4b7eb26c7e839147ea3d30d051fe1bb6",
"score": "0.70995075",
"text": "public abstract byte[] decrypt(byte[] ciphertext);",
"title": ""
... |
829ecfc05d388d38a01df157e3509301 | optional string comment = 6; unused | [
{
"docid": "f893ec1a60f167f7d631ef156dd14510",
"score": "0.6615569",
"text": "String getComment();",
"title": ""
}
] | [
{
"docid": "57eaa7663c46fa6d00a2402c49fd619f",
"score": "0.72571933",
"text": "@Override\n public void comment(String comment)\n {\n }",
"title": ""
},
{
"docid": "33c555ef3e639751ecb3a76a01e388da",
"score": "0.69723356",
"text": "public void comment(String data);",
"tit... |
d152850b1a1fb128249e8c0d5386a611 | stupid impl but enough for us | [
{
"docid": "f5fdea70e26e11d6a6116e6955125d39",
"score": "0.0",
"text": "@Override\n public String process() throws Exception {\n validate();\n final File out = new File(output);\n if (out.isFile()) { // don't re-download if already here\n return output;\n }\n ... | [
{
"docid": "407ea6981d818e928441c73001d7316b",
"score": "0.5534904",
"text": "void mo89796R_();",
"title": ""
},
{
"docid": "28237d6ae20e1aa35aaca12e05c950c9",
"score": "0.5523278",
"text": "@Override\n\tpublic void sacrifier() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "62... |
8810fef238737e94f3d88b5ba4df30c2 | Location of this token in the original audio. NOTE: This span represents a best guess, or 'provenance': it cannot be guaranteed that this text span matches the _exact_ text of the original document, but is the annotation's best effort at such a representation. | [
{
"docid": "874f8b7ed84dc6dbbeaac894e545334d",
"score": "0.4713227",
"text": "public Token setAudioSpan(edu.jhu.hlt.concrete.AudioSpan audioSpan) {\n this.audioSpan = audioSpan;\n return this;\n }",
"title": ""
}
] | [
{
"docid": "e3c331cd74e492f49e5b5c6a9fb42d82",
"score": "0.56101495",
"text": "public String getSpan()\n {\n return span;\n }",
"title": ""
},
{
"docid": "e6b1b3d8e7e881222a017b3f7070fa4f",
"score": "0.5516806",
"text": "public edu.jhu.hlt.concrete.TextSpan getRawTextSpa... |
afffded69d4a0f7b3b5c06cc58da9546 | int space = 300; int width = 100; int height = 50 + rand.nextInt(300); | [
{
"docid": "da6a695e1bc03975debd80afe97d7416",
"score": "0.0",
"text": "public void genColumn(){\n\t\tRectangle obstacle = new Rectangle(0,world_height/8,obstacle_width,obstacle_height);\n\t\tcur_obstacle = obstacle;\n\t\tcolumns.add(cur_obstacle);\n\t\t//System.out.println(\"generate obstacle\");\n\t\t... | [
{
"docid": "4fde91d311fb06f8312ab3ea742cba84",
"score": "0.7277152",
"text": "void generate(int height, int width) throws IllegalArgumentException;",
"title": ""
},
{
"docid": "b0523123f388f98460d210f860683d09",
"score": "0.66870034",
"text": "int createRanWeightMuch() {\r\n int w... |
1c4b8e1591fcbb9f907b4f03b0f72f26 | Ensure that the reader is in a given state. | [
{
"docid": "b87c6bdf8d54f84d1c6ed78b749afd45",
"score": "0.5812238",
"text": "private void requireState(\n LifecycleState required\n ) {\n final LifecycleState actual = mState.get();\n Preconditions.checkState(actual == required,\n String.format(\"Required state was: %s, but found %s.... | [
{
"docid": "94b7e394090078085f11453ea5985eee",
"score": "0.6223498",
"text": "private void checkForState() {\n }",
"title": ""
},
{
"docid": "de79437a834e5be9cf826335b12ad6ad",
"score": "0.6205032",
"text": "private void beginClosing() {\n Preconditions.checkState(\n mSt... |
63838af53bc6aab4e79d6bf98b960c83 | public Key getJWEKey() throws KeyStoreException, NoSuchAlgorithmException, UnrecoverableKeyException, UnsupportedEncodingException; | [
{
"docid": "584256536f8f0e97df840f9ba4b97525",
"score": "0.7190633",
"text": "public Key getHttpSigningKey()\n throws KeyStoreException, NoSuchAlgorithmException, UnrecoverableKeyException, UnsupportedEncodingException;",
"title": ""
}
] | [
{
"docid": "962a0da74c701b2af5a65fbb67c751eb",
"score": "0.70452046",
"text": "public Key getKey();",
"title": ""
},
{
"docid": "7e78b803a0aeca1654ddf1bc141bbea8",
"score": "0.68623096",
"text": "private static SecretKey getKey() throws UnsupportedEncodingException, NoSuchAlgorithmEx... |
c1c223f350fe6f3fd6461a17eaf6cfab | map<string, string> data = 1; | [
{
"docid": "2460bbb64be7193191df3b92716427a5",
"score": "0.0",
"text": "public Builder removeData(\n java.lang.String key) {\n if (key == null) { throw new java.lang.NullPointerException(); }\n internalGetMutableData().getMutableMap()\n .remove(key);\n return thi... | [
{
"docid": "4e2442120c23dc4aaada5bdd576394f9",
"score": "0.76120025",
"text": "java.util.Map<java.lang.String, java.lang.String>\n getDataMap();",
"title": ""
},
{
"docid": "19f1dcb34b37ca387ec7f15a98a0ed42",
"score": "0.6975677",
"text": "Map<String, List<String>> mo40633b();",
... |
07727ae968ee82e5b4d3daecf9f22221 | Validate context properties before executing any Switcher operation | [
{
"docid": "c26a9aa358c60eb1d17f885be31a93f3",
"score": "0.5373225",
"text": "public static void validate(final SwitcherProperties prop) {\n\t\tif (!prop.isOfflineMode()) {\n\t\t\tvalidateOnline(prop);\n\t\t} else {\n\t\t\tvalidateOffline(prop);\n\t\t}\n\t\t\n\t\tvalidateOptionals(prop);\n\t}",
"tit... | [
{
"docid": "87095490d5408f3464e89cd6e0988536",
"score": "0.63993394",
"text": "public static void validateOptionals(final SwitcherProperties prop) {\n\t\tif (prop.isSnapshotAutoLoad() && StringUtils.isBlank(prop.getSnapshotLocation())) {\n\t\t\tthrow new SwitcherContextException(\"SwitcherContextParam.S... |
518bf5364cda3c6202a1a392996f93d1 | Inflate the menu; this adds items to the action bar if it is present. | [
{
"docid": "b503fc7fa1f36527045b729accf7ab38",
"score": "0.0",
"text": "@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_main, menu);\n return true;\n }",
"title": ""
}
] | [
{
"docid": "733ed274ccd37b1430acd3149250d7f2",
"score": "0.72144043",
"text": "protected abstract void createActionBarMenu(Menu menu);",
"title": ""
},
{
"docid": "d74efebd6fe79f46209a7e8cb2c52d89",
"score": "0.718687",
"text": "@Override\n\tpublic boolean onCreateOptionsMenu(Menu me... |
60e53face2154f74d28ca8ed510c783d | override so that it's visible in the package. | [
{
"docid": "d72c96d026d28e75ffffc72a25bd66f8",
"score": "0.0",
"text": "protected StructuredViewer getViewer() {\n\t\treturn super.getViewer();\n\t}",
"title": ""
}
] | [
{
"docid": "66f2ea82697c7ab932ddf5eb8dfa9343",
"score": "0.65789783",
"text": "private PackageHelper() {}",
"title": ""
},
{
"docid": "b6016b015c5f440cc940996b14ff7ecc",
"score": "0.64513236",
"text": "private _dynamicPackage() {}",
"title": ""
},
{
"docid": "9bfc13dc8cd7... |
45c9e37f2468ea56562230f921a5fed8 | Register a namespace prefix | [
{
"docid": "7ccee006d562c56af3fffba35bebadf8",
"score": "0.0",
"text": "private java.lang.String registerPrefix(javax.xml.stream.XMLStreamWriter xmlWriter, java.lang.String namespace) throws javax.xml.stream.XMLStreamException {\n java.lang.String prefix = xmlWriter.getPrefix(namespace);\n ... | [
{
"docid": "8682d1d294c761f8b58879e5f7fc537c",
"score": "0.78696835",
"text": "public void registerNamespace(String prefix, String uri) {\n namespaces.put(prefix, uri);\n }",
"title": ""
},
{
"docid": "adee3659dc70df5d15b4b1e06c317f12",
"score": "0.754755",
"text": "publi... |
ee63969fd3481bcc7ac366a4f26a3a45 | Created by jazzyshi on 2019/9/12. | [
{
"docid": "0a498aa7a5ce1b05dcfc852860673e22",
"score": "0.0",
"text": "public interface Target {\n void handleRequest();\n}",
"title": ""
}
] | [
{
"docid": "ea8460c7314de45803a19bf7c984d4bf",
"score": "0.5941679",
"text": "@Override\n public void perish() {\n \n }",
"title": ""
},
{
"docid": "1260bf70decb91faff8466bae6765ba2",
"score": "0.5779881",
"text": "private stendhal() {\n\t}",
"title": ""
},
{
... |
eb22b23c3d53f390c160becc2ef1cb5d | Creates new form ViewCrearCuenta | [
{
"docid": "a4a3463821f6e9807e179cd54618a090",
"score": "0.7725917",
"text": "public ViewCrearCuenta() {\n initComponents();\n }",
"title": ""
}
] | [
{
"docid": "78f081ef65c39ffa8ab7a66cf1825cae",
"score": "0.6957059",
"text": "@RequestMapping(value = \"create\", method = RequestMethod.GET)\n public String nuevoCasos(Model model) {\n model.addAttribute(\"listaMecanicos\", meca.listarMecanicos());\n model.addAttribute(\"listaVehiculo\... |
f843a3e73a779b5543c9657e2badcc06 | string characteristic_uuid = 2; | [
{
"docid": "86230219af943f9cea56c3995ce864a0",
"score": "0.60495156",
"text": "@java.lang.Override\n public java.lang.String getCharacteristicUuid() {\n java.lang.Object ref = characteristicUuid_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else... | [
{
"docid": "0a4561756e90a70cb41bbcb31ede8a8c",
"score": "0.7096802",
"text": "java.lang.String getCharacteristicUuid();",
"title": ""
},
{
"docid": "0a4561756e90a70cb41bbcb31ede8a8c",
"score": "0.7096802",
"text": "java.lang.String getCharacteristicUuid();",
"title": ""
},
{
... |
186a1a647d370bf33a2c728f86bfb6bb | Adds Absorption band to SpectrumPanel | [
{
"docid": "da90028412964b1132731970927e385e",
"score": "0.54532105",
"text": "public int addAbsorptionBand(double lambda1, double lambda2, String func){\n return specPanel1.addAbsorptionBand(lambda1,lambda2,func);\n }",
"title": ""
}
] | [
{
"docid": "9f22337b264589325473d72794776a61",
"score": "0.5687497",
"text": "void updateBands() {\n _bands.clear();\n\n MaskParams maskParams = _table.getMaskParams();\n BandDef bandDef = maskParams.getBandDef();\n\n if (bandDef.getShuffleMode() == BandDef.BAND_SHUFFLE) {\n ... |
a1c2b733fdbeea0327ca6c5fbec2fb5c | Return the internal Id for the Entry identified by this EntryTarget In general, subclasses don't have to support internal ids. This implementation simply returns 1. | [
{
"docid": "4208f3fa74e679184110e0e43b48771f",
"score": "0.82471937",
"text": "protected Object getInternalId(EntryDescriptor entryTarget) {\n return -1;\n }",
"title": ""
}
] | [
{
"docid": "cb19b957a0db870c58c8abc14bc90f57",
"score": "0.73016757",
"text": "long getEntryId();",
"title": ""
},
{
"docid": "eec62decf592a351674220363facb9aa",
"score": "0.72805977",
"text": "public static Integer getInternalId() {\n\t\treturn DEFAULT_INTERNAL_ID;\n\t}",
"title... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "fe314294214fd284baf64ec5ff0a4fc1",
"score": "0.0",
"text": "public static void main(String[] args) {\n for (int i = 0; i < 4; i++) {\n BigObject bigObject = new BigObject();\n System.out.println(bigObject.toString());\n //System.gc();\n Runt... | [
{
"docid": "fd7df110e087032be8c98522c4493f41",
"score": "0.6681592",
"text": "@Override\n public void otvori() {\n }",
"title": ""
},
{
"docid": "fd7df110e087032be8c98522c4493f41",
"score": "0.6681592",
"text": "@Override\n public void otvori() {\n ... |
a30cd5a7d3bfb9edb40f5b77830d79ee | Gets the "combobox" element | [
{
"docid": "46ce4d1ca051168a29d7e4d2b262fe66",
"score": "0.7419467",
"text": "public com.gazoomobile.mxalm.TCombobox getCombobox()\n {\n synchronized (monitor())\n {\n check_orphaned();\n com.gazoomobile.mxalm.TCombobox target = null;\n target = (com.gaz... | [
{
"docid": "6446a1caad8b972f5fe58e83104ff5ed",
"score": "0.715332",
"text": "private RComboBox getCalendarComboBox() {\n if (calendarComboBox == null) {\n calendarComboBox = new RComboBox();\n calendarComboBox.setName(\"calendarComboBox\");\n calendarComboBox\n .setModelConfig... |
aa844ad99bc927e52258a7c58cbd626e | indicates the mode of transportation in the step. | [
{
"docid": "d753c9a0dac4dca1dff57eb25d357717",
"score": "0.0",
"text": "@NonNull\n public abstract String mode();",
"title": ""
}
] | [
{
"docid": "5ad2b9a42983ecbeabdc13fbdf0141c1",
"score": "0.7556204",
"text": "public void getModeOfTransport() {\n\t\tSystem.out.println(\"Mode of Transport: \"+transportName);\n\t}",
"title": ""
},
{
"docid": "edb68f28227f585b24561aef040c199b",
"score": "0.6292016",
"text": "public ... |
35272277725a9006e5cdfb10bd996b51 | Enables Amazon Macie and specifies the configuration settings for a Macie account. | [
{
"docid": "2727ae2386ad09340e5a7b929d8ea17a",
"score": "0.7110589",
"text": "@Override\n public EnableMacieResult enableMacie(EnableMacieRequest request) {\n request = beforeClientExecution(request);\n return executeEnableMacie(request);\n }",
"title": ""
}
] | [
{
"docid": "8f440be914fb89b153744a3e8a5f3ad9",
"score": "0.5253412",
"text": "private void activateKIOSK(boolean status){\n if(devicePolicyManager.isAdminActive(adminCompName)) {\n KIOSKManager km = new KIOSKManager(this);\n km.enableKioskMode(status);\n }\n }",
... |
814c7bdc2b36d7f2fe937a214c83ab6f | open the calendar page get reference to the button's stage | [
{
"docid": "56c8ebb8a579d63cec4d50837e70c648",
"score": "0.6053829",
"text": "@FXML\r\n private void CalendarCustomersButtonHandler(ActionEvent event) throws IOException {\n \r\n Stage stage;\r\n FXMLLoader fxmlLoader = new FXMLLoader(getClass().getResource(\"Customer... | [
{
"docid": "6f842e588f5daefc9d48e6e3b6ed4e85",
"score": "0.7078762",
"text": "@FXML\r\n void onActionOpenCalendarScreen(ActionEvent event) throws IOException {\n stage = (Stage)((Button)event.getSource()).getScene().getWindow();\r\n scene = FXMLLoader.load(getClass().getResource(\"/View... |
cea48f71076636bedfb47d4c4a1ddf44 | Builds command AddNewFriendCmd with necessary info | [
{
"docid": "95306b914c6ffb8177ac2d2b38b2b451",
"score": "0.6813762",
"text": "@Override\n public Command buildCommand(String title, int ID) {\n return new RemoveFriendCmd(title, ID);\n }",
"title": ""
}
] | [
{
"docid": "d55fa0fb4655aee26161d5207bc9f934",
"score": "0.6136455",
"text": "@Override\n public Command buildCommand(String title, int ID) {\n return new AddUserToConvoCmd(title, ID);\n }",
"title": ""
},
{
"docid": "5d257a8ad81806df4042d51fdac16f58",
"score": "0.58475393",... |
437a4959ed63542b3709b09e2d51e778 | Compute bounding box around discovered peaks and zoom on bounding box | [
{
"docid": "65873853085a85638d6cbc4545e41763",
"score": "0.567214",
"text": "private void setZoomBoundingBox(AuthAccount userAccount){\n //Create a bounding box and zoom in\n if(userAccount.getDiscoveredPeaks().size() != 0) {\n BoundingBox boundingBox = computeArea(new ArrayList... | [
{
"docid": "eeb3a61775bfa8e07282d1e2c6adc560",
"score": "0.6036385",
"text": "BoundingBox getBounds();",
"title": ""
},
{
"docid": "de0c959eb559c2660879a6451e9e2d9d",
"score": "0.6014441",
"text": "public GJBox2D boundingBox() {\n double xmin = Double.MAX_VALUE;\n doubl... |
5c55ff1d6cf7e0121403bb5771f5ee94 | TODO Agregar los atributos que consideren | [
{
"docid": "f2e7f786b0be12b3f4c56c4df4de0c17",
"score": "0.0",
"text": "public Libro(String isbn, String nombre)\n {\n this(isbn, nombre, 0);\n }",
"title": ""
}
] | [
{
"docid": "963bffcab1ed10debbc3a36473822a9e",
"score": "0.5926987",
"text": "private void getModelAtributtes(ModelMap model) {\n\n\t}",
"title": ""
},
{
"docid": "4b323a4d0e53c8d22d6b672d8c73d434",
"score": "0.5878229",
"text": "public interface Attributes extends TranqueraActiveEnt... |
778df8338584b0960c51f25a475e2710 | Trouve la prochaine liste avec des objets | [
{
"docid": "7f62fe2181b67b81b7b055ed3aabf993",
"score": "0.0",
"text": "short qoi_GetNextList(CQualToOiList pqoi)\r\n {\r\n int pos = pqoi.qoiActionPos;\r\n short qoil;\r\n CObjInfo oilPtr;\r\n while (pos < pqoi.qoiList.length)\r\n {\r\n qoil = pqoi.qoiLi... | [
{
"docid": "5e9aa77f9b79a10f2b8b6a88f4dfa92b",
"score": "0.6877685",
"text": "public void populateListaObjetos() {\n listaObjetos.clear();\n Session session = HibernateUtil.getSessionFactory().openSession();\n try {\n String tipo = null;\n if (selectedTipo.equa... |
399675c810174e248af038de52b0a735 | Set Is Void Previous Documents | [
{
"docid": "620e154ad377e27549567989a3e60af8",
"score": "0.77221346",
"text": "public void setIsVoidPrevDocs (boolean IsVoidPrevDocs);",
"title": ""
}
] | [
{
"docid": "13d76e3f761a77bf55d3ef0c2060fc42",
"score": "0.72258604",
"text": "public boolean isVoidPrevDocs();",
"title": ""
},
{
"docid": "93ad19c2de59489a74778b2ac2ca575c",
"score": "0.63774925",
"text": "public void undo()\r\n {\r\n if (changes!=null)\r\n {\r\n ... |
e84de262ce5960b0807d99f36afaaff3 | Generates a new GameState and returns it. | [
{
"docid": "4ec930e1b5ba98b3b7211ef59bf3d5db",
"score": "0.73303044",
"text": "public static GameState newGame() {\n GameState gameState = new GameState();\n DungeonString string = new DungeonString();\n string.append(\"Created a new game.\\n\\n\");\n string.append(gameState.getPreface());\n... | [
{
"docid": "7b6192ee3848c8538813624be9a66c50",
"score": "0.7218361",
"text": "State createState();",
"title": ""
},
{
"docid": "7b6192ee3848c8538813624be9a66c50",
"score": "0.7218361",
"text": "State createState();",
"title": ""
},
{
"docid": "7b6192ee3848c8538813624be9a6... |
71088f5546b301844247120cafda5020 | Test of readPrescritions method, of class PrescriptionDAO. | [
{
"docid": "f27b2b91c3277e496855cb3f0ad673c3",
"score": "0.81079143",
"text": "@Test\r\n public void testReadPrescriptions() throws Exception {\r\n System.out.println(\"ReadPrescriptions\");\r\n PrescriptionDAO instance = new PrescriptionDAO();\r\n List<Prescription> pres = insta... | [
{
"docid": "0a5a4d2e54a40ddd6555b68ae9403eb3",
"score": "0.7748008",
"text": "@Test\r\n public void testReadPrescrition() throws Exception {\r\n System.out.println(\"ReadPrescrition\");\r\n int id = 2;\r\n \r\n Prescription result = instance.readPrescription(id);\r\n \r... |
3b402f9c11fd93ce65c38f0023604f24 | Drop older table if existed | [
{
"docid": "7b8614db6dd3e29415ee6ac9ad1ecbe1",
"score": "0.0",
"text": "@Override\n public void onUpgrade(SQLiteDatabase sqLiteDatabase, int i, int i1) {\n sqLiteDatabase.execSQL(\"DROP TABLE IF EXISTS \" + CONNECTION_DETAILS);\n\n // Create tables again\n onCreate(sqLiteDatabase... | [
{
"docid": "5d5682ce450a3fb881f0ebf5b38f3ccf",
"score": "0.7082967",
"text": "public void deletetable2(){\n SQLiteDatabase db = this.getWritableDatabase();\n db.execSQL(\"DROP TABLE IF EXISTS \" + TABLE_NAME2);\n }",
"title": ""
},
{
"docid": "df22f262b0b3b49d416b812b441c749... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "5d4dc00d39a5338576bf42845b588fcf",
"score": "0.0",
"text": "@Override\r\n public boolean setGameSpeed(String clientId, int newSpeed) {\n return false;\r\n }",
"title": ""
}
] | [
{
"docid": "1acc57d42c31dee937ac33ea6f2a5b0b",
"score": "0.68399656",
"text": "@Override\r\n\tpublic void comer() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "0c69424878be03e50f19e2ca61ef640b",
"score": "0.68002176",
"text": "@Override\r\n\tpublic void leggi() {\n\t\t\r\n\t}",
"ti... |
aa42b457853a4e0304fc42a258b4a478 | / renamed from: h | [
{
"docid": "311414976d0b971904018ca0a4e1760d",
"score": "0.0",
"text": "public Map<String, String> mo838h() {\n return UserAccount.m3175a(this.f2260g, this.f2261h);\n }",
"title": ""
}
] | [
{
"docid": "c9f2272680ceda627c2804cb1bdeaca8",
"score": "0.6760703",
"text": "private void h() {\n }",
"title": ""
},
{
"docid": "06e4b944c1628dc2747a89f475b4c59b",
"score": "0.6329074",
"text": "public int getH() { return this.h; }",
"title": ""
},
{
"docid": "36221d674... |
d6d01eeb5a2268515ae8038724724dd2 | TODO: Warning this method won't work in the case the id fields are not set | [
{
"docid": "a42caaed8fc5b844f9080e5590a1b580",
"score": "0.0",
"text": "@Override\n public boolean equals(Object object) {\n if (!(object instanceof ItemVenta)) {\n return false;\n }\n ItemVenta other = (ItemVenta) object;\n if ((this.getId() == null && other.ge... | [
{
"docid": "24053f044c6944c5f25a79cad75b39fe",
"score": "0.6829894",
"text": "@Override\n public String id() {\n return null;\n }",
"title": ""
},
{
"docid": "24053f044c6944c5f25a79cad75b39fe",
"score": ... |
c5a0cc06ec450f154f57393f95edb232 | removeCourseAssignments find the key for the task that contains the given string and remove it from the taskMap | [
{
"docid": "2b7593f3a7cd804cadd79a2453eb2049",
"score": "0.7290988",
"text": "public static void removeCourseAssignments(String name) {\n\t\ttaskMap.entrySet().removeIf(entry -> (name.equals(entry.getValue().course))); // using lambda expression to\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// remove\... | [
{
"docid": "db67c25da3ddc4afe638a18a071ba7ca",
"score": "0.614131",
"text": "public static void removeCourseCompleted(String name) {\n\t\tTask temp = null;\n\t\tfor (int i = 0; i < completedList.size(); i++) { // iterate through the course arr list\n\t\t\ttemp = completedList.get(i); // grab cur value a... |
0673060520a9dfc462f8e3e43e9ddd73 | Responder teste de ping. | [
{
"docid": "31ae26661f839e0f4038a4f36d8bc1d8",
"score": "0.0",
"text": "public boolean pong() {\n return isVivo();\n }",
"title": ""
}
] | [
{
"docid": "cc61cecda44d054978cf311a3234cf82",
"score": "0.73886734",
"text": "public static void ping() {}",
"title": ""
},
{
"docid": "b3fc763e410013c7117de28d5b6cd79f",
"score": "0.7186774",
"text": "public void gotSystemPing() {\n\n }",
"title": ""
},
{
"docid": "b... |
7b76736bee3282590a05f0637e60014f | Posting parameters to login url | [
{
"docid": "ae4f162e4df4d08981c1ebbdffaf58a7",
"score": "0.0",
"text": "@Override\n protected Map<String, String> getParams() {\n Map<String, String> params = new HashMap<String, String>();\n// params.put(\"email\", email);\n// params.put(\"passwor... | [
{
"docid": "ce43bb462f5a5c37bfddaaa27357e316",
"score": "0.68278295",
"text": "@Public\n\t@Post(\"/login\")\t\n\tpublic void login() {\n\t}",
"title": ""
},
{
"docid": "c6f909aaf0cd8cba83b2a27368020f21",
"score": "0.6578844",
"text": "@POST\n\t@Path( \"\" )\n\t@Formatted\n\tRestLogin... |
578936cbec5c5d70c20e5bcd5fa1247f | Set the creation of secondary target file state for this task. This state is only set if there are any associated secondary target files with this task. | [
{
"docid": "c6870f4cefd4e3537e7cc093c8e76cd0",
"score": "0.45042875",
"text": "void setStfCreationState(String p_stfCreationState);",
"title": ""
}
] | [
{
"docid": "15b90b60174d3ff490c765bd3506b80e",
"score": "0.51524454",
"text": "@Override\r\n\tpublic void fileToTarget() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "df405894ce9c1b6d4dd9645c5f7d1ea7",
"score": "0.51418257",
"text": "public void setTarget(File f) {\n target = f;... |
f08dea9b7bcf015f48b785a78f2a001b | This method was generated by MyBatis Generator. This method returns the value of the database column staff.staff_level | [
{
"docid": "14dfe751ac18c6b097c7e5cc1e0909f1",
"score": "0.72905946",
"text": "public Integer getStaffLevel() {\n return staffLevel;\n }",
"title": ""
}
] | [
{
"docid": "1a9356562176b126ad7caa62791dfad6",
"score": "0.6364873",
"text": "public void setStaffLevel(Integer staffLevel) {\n this.staffLevel = staffLevel;\n }",
"title": ""
},
{
"docid": "d49a9405124436fce9a733d9ac0c431d",
"score": "0.58312494",
"text": "public Long getL... |
d81d94a7ea83f732fadc408532005612 | Created by Yoko on 20.11.2016. | [
{
"docid": "efb0f639930e8c8b20bae99a3fbbedae",
"score": "0.0",
"text": "public interface StudentRepository {\n\n List<Student> findAll();\n\n Student find(Long id);\n\n boolean add(Student student);\n\n boolean remove(Long id);\n\n List<Student> findByStudentId(Long student_id);\n}",
... | [
{
"docid": "cdf542363f5b089e84183e3d9020935f",
"score": "0.61400324",
"text": "@Override\n\t protected void ramana() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "f0705d77863f0fa7c516a99a8eca8134",
"score": "0.5950477",
"text": "private void zbudujSciezkeiRozpocznij() {\n\t\t\r\n\t}",
... |
010ec1d70b4060c8e974e72ac21f59c5 | Query simples no MongoDB | [
{
"docid": "4c2efa3f32cf5344e48a870bb5ab4a0c",
"score": "0.0",
"text": "Cliente findByNome(String nome);",
"title": ""
}
] | [
{
"docid": "eb7fde4df1ccba0f2748beee93ee2a2b",
"score": "0.6742804",
"text": "Query getQuery();",
"title": ""
},
{
"docid": "8fd84c27a799c272272c6d5d56d64ba4",
"score": "0.6306509",
"text": "public Query getQuery();",
"title": ""
},
{
"docid": "4f1a444c22f14c55bf3a51630af... |
e6629b8cb786ebf7f954545f62e9ee8e | tranformar cada letra em um vetor | [
{
"docid": "926b4718fd22746846104a3051cbea63",
"score": "0.51246405",
"text": "private boolean transformLetraDiagonalAtras(String[] dna) {\n\t\tboolean ismutante = false;\r\n\t\tint verificadorPalavraDiagonalAtras = 0 ;\r\n\t\tint verificadorVetor =0;\r\n\t\tverificadorPalavraDiagonalAtras = dna.length... | [
{
"docid": "c1571961ea8ad8566d5f946b404b5519",
"score": "0.61662745",
"text": "public static String getTextoLargo() {\n\t\treturn \"Una mañana, tras un sueño intranquilo, Gregorio Samsa se despertó convertido en un monstruoso insecto. Estaba echado de espaldas sobre un duro caparazón y, al alzar la cabe... |
830c2ad3e265106b42c189d954fd48eb | This method calculates the magnitude (length) of the vector, squared. | [
{
"docid": "9d6e1bbfc7effa83be4c5884d9ebe767",
"score": "0.64013845",
"text": "public double magSq() {\n return (square(x) + square(y) + square(z));\n }",
"title": ""
}
] | [
{
"docid": "c8ab9b64019352cbecbc21f9d412630c",
"score": "0.7547382",
"text": "public static float magnitude(Vector2 vec)\n {\n float xsq = vec.x * vec.x;\n float ysq = vec.y * vec.y;\n return (float)Math.sqrt(xsq + ysq);\n }",
"title": ""
},
{
"docid": "10b5d1... |
3889b26df6252e7284accb15ad7f5f9b | Class constructor; creates a new instance of the FileSender class. | [
{
"docid": "21a4d2b9e650feb4ae5b6874e272886b",
"score": "0.6612234",
"text": "public FileSender() {\n \t\tproperties = new ApplicationProperties(\"FileSender.properties\");\n \t\tauthenticator = new GeneralAuthenticator(this);\n \t\tAuthenticator.setDefault(authenticator);\n \n \t\tsetTitle(windowTitle)... | [
{
"docid": "1d75f775333b86e08a1ae2c9ef11cd55",
"score": "0.71316826",
"text": "public GridFtpFileHandler() \n\t{\n\t}",
"title": ""
},
{
"docid": "001c27e4373afa2642f36bca5a2355a5",
"score": "0.6942576",
"text": "public Uploader() {\n\t}",
"title": ""
},
{
"docid": "ca1dd... |
b6285ab7bd7688e9ed6e0f98921a7c4b | Fetch all gas meters. | [
{
"docid": "27f43c9765b224d87f8fee9ee0e4b7e6",
"score": "0.7457988",
"text": "InquiryDeviceResponse fetchAllGasMeters(InquiryDeviceRequest inquiryDeviceRequest);",
"title": ""
}
] | [
{
"docid": "86741ac13451b3d8cb56f609336ce1c7",
"score": "0.5845701",
"text": "public List<Meter> getMeters() throws IOException;",
"title": ""
},
{
"docid": "b52fde48f71e2ff7326594084c53ca25",
"score": "0.5533125",
"text": "private void getMETARsFromAviationWeather() {\n log.i... |
d54d87aeb573009d8f05254d9a63e6bd | Processes requests for both HTTP GET and POST methods. | [
{
"docid": "549fecf47b5fac937f0432ddac0420ab",
"score": "0.0",
"text": "protected void processRequest(HttpServletRequest request, HttpServletResponse response)\n throws ServletException, IOException, SQLException, IniciarSesionException{\n response.setContentType(\"text/html;charset=UT... | [
{
"docid": "48df90c4c28d036e55a40b91d3afe9cc",
"score": "0.68702936",
"text": "@Override\n protected void doPost(HttpServletRequest request, HttpServletResponse response) {\n processGetRequest(request, response);\n }",
"title": ""
},
{
"docid": "0585dba05545edd5f8d6fbe3760c1ffd"... |
874fb4310b8a3c0c351e7dfc81b2c686 | Adds a PlayerEffects effect to the player | [
{
"docid": "84172669f281d09dca61c3d1dcc65a49",
"score": "0.7367612",
"text": "public void addEffect(PlayerEffects effect)\n\t{\n\t\tLog.log(getName() + \" added the effect \" + effect);\n\t\teffects.add(effect);\n\t}",
"title": ""
}
] | [
{
"docid": "16748025a69b43e70d0e10a7beda825b",
"score": "0.7031246",
"text": "void addPotionEffect(int effect, int duration, int strength, boolean hideParticles);",
"title": ""
},
{
"docid": "49233f5a3bb1aec62ebc02c5edc11c1b",
"score": "0.6859131",
"text": "public void addPotionEffec... |
6de3e80865f062fd4f6337b9be507fb6 | This method has much more errorhandling than required for studentprojects (but since it's being given to students to use, I try for better error messages, as well as an example of how to handle such things if you need to which the main assignment doesn't). | [
{
"docid": "4a73017320856a029fcb1c147c393439",
"score": "0.0",
"text": "public static void main( String... args ) {\n\n Object[] configs = getConfigsFromArgs( args, 20211L, knownMthds ); // returns: array w/ [n,mthd,otherArgs,rng]\n final int n = (Integer)configs[0];\n ... | [
{
"docid": "5590f2dd606074ade4d99b3ec7e23aaf",
"score": "0.6086229",
"text": "public String checkIfValid()\n {\n StringBuilder errorMessage = new StringBuilder();\n if (!new File(inputPath).canRead())\n errorMessage.append(\"Error inputPath. Cannot read: \").append(inputPath)... |
3207d4042f9d1feceb405746117dc49a | Returns interface fragment files for node. | [
{
"docid": "934f5dd615a243fe3f93eb3480d0eefb",
"score": "0.7439591",
"text": "public static TempJavaFragmentFiles getNodesInterfaceFragmentFiles(YangNode node) {\n TempJavaFragmentFiles tempJavaFragmentFiles;\n if (node instanceof RpcNotificationContainer) {\n tempJavaFragmentFi... | [
{
"docid": "2e25e109f240659b84c1acde9ae5f50a",
"score": "0.548731",
"text": "List<Fragment> getFragments() {\n }",
"title": ""
},
{
"docid": "399292972cb8ac6efc7cc83cd6ffb102",
"score": "0.545606",
"text": "private List<File> getFichInDir()\n {\n File[] folder = new File(... |
6f1388fb1e6a1a8b0e35eee631ed75f1 | Function: 'function' fname=SYMBOL ':' definition=Definition; | [
{
"docid": "5260971c63f2cdef7c11bccaa7ab7852",
"score": "0.0",
"text": "public FunctionElements getFunctionAccess() {\n\t\treturn pFunction;\n\t}",
"title": ""
}
] | [
{
"docid": "e81eea4fe21626e3e80cbb0460c950e2",
"score": "0.68836415",
"text": "String getFunctionName();",
"title": ""
},
{
"docid": "e49d816d3eceea78210e19e72bdbf706",
"score": "0.684013",
"text": "public String getFunctionName();",
"title": ""
},
{
"docid": "b1db1496de2... |
86096c1442dbd7b3b1ac024515c13ba5 | Call this method to clear the cache manually. Automatically clears on "load" | [
{
"docid": "8a322358926e2eaca6c3caa5c0e30023",
"score": "0.8656674",
"text": "public void clearCache() {\n cache.clear();\n }",
"title": ""
}
] | [
{
"docid": "abf71527e0e22f13d337b1cef9555f2b",
"score": "0.8645439",
"text": "public void clearCache();",
"title": ""
},
{
"docid": "602d13bd0f1f27fe7fb4d3d68eb7ba32",
"score": "0.8557312",
"text": "public void clear() {\n cache.clear();\n }",
"title": ""
},
{
"... |
dc537c55ab7d9deeb512c8ba036da005 | required .hadoop.hdfs.JournalInfoProto journalInfo = 1; | [
{
"docid": "2de0c1df55c67f67500668ad243eb99e",
"score": "0.466547",
"text": "public org.apache.hadoop.hdfs.protocol.proto.JournalProtocolProtos.JournalInfoProto.Builder getJournalInfoBuilder() {\n bitField0_ |= 0x00000001;\n onChanged();\n return getJournalInfoFieldBuilder().getBuil... | [
{
"docid": "944883acd9372ca2a4604cefe00ac854",
"score": "0.716013",
"text": "org.apache.hadoop.hdfs.protocol.proto.JournalProtocolProtos.JournalInfoProtoOrBuilder getJournalInfoOrBuilder();",
"title": ""
},
{
"docid": "944883acd9372ca2a4604cefe00ac854",
"score": "0.716013",
"text": "... |
d1bc4d8df0a1bc4894cafb504bdfc6e5 | repeated string message = 4; | [
{
"docid": "03391dfbab0e66592a6113404d5b4c54",
"score": "0.0",
"text": "public com.google.protobuf.ByteString\n getMessageBytes(int index) {\n return message_.getByteString(index);\n }",
"title": ""
}
] | [
{
"docid": "af36f2fe8a168637a56f2db4a6828dda",
"score": "0.6155986",
"text": "public int[] makeMessageString(String message) {\n int[] buf = new int[(message.length() * 6) + (boards * 5)];\n char[] msgText = message.toCharArray();\n for (int i = 0; i < 5; i++)\n ... |
dcbd49b514b93e6c67e210b21e321d8e | Stop listening to voice | [
{
"docid": "438405518d93bb86158c238dae6dfc7d",
"score": "0.7425505",
"text": "@Override\n protected void onStop() {\n stopVoiceRecorder();\n\n // Stop Cloud Speech API\n mSpeechService.removeListener(mSpeechServiceListener);\n unbindService(mServiceConnection);\n mS... | [
{
"docid": "117f427c0fc9b0e222bee5834bf45fd2",
"score": "0.7703488",
"text": "public void StopListening();",
"title": ""
},
{
"docid": "363e5523a6dc370d7d5d1c7897a393ee",
"score": "0.76741266",
"text": "public void stopSpeechRecognition() {\n\t\tmic.close();\n\t\tSystem.out.println(\... |
650d02a30a9ea993775cbfa76c0414b3 | region Loading and running scripts Run a script from a file. | [
{
"docid": "b703446421716e22124bc3bd1731a153",
"score": "0.64602906",
"text": "public Object runScript(File file, EvalProject project) throws IOException, TaskExecutionException {\n EvalScript script = (EvalScript) shell.parse(file);\n return runScript(script, project);\n }",
"ti... | [
{
"docid": "209079ab9f5ab2132278cab5c1b214f3",
"score": "0.68975437",
"text": "public void eval(String file)\n throws FileNotFoundException, ScriptException {\n engine.eval(new BufferedReader(new FileReader(file)));\n }",
"title": ""
},
{
"docid": "11243edd86268921241949ea204bc6... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "9c8f849afd11603641d84e0bf779f205",
"score": "0.0",
"text": "public void update(String id, Task task) {\n task.update(mContext, id, new UpdateListener(){\n\n @Override\n public void onFailure(int arg0, String arg1) {\n\n }\n\n @Override\n ... | [
{
"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}"... |
9fbe276be50546e253764407be1b0737 | Dumps the enumeration together with its elements to System.out. | [
{
"docid": "c5c0cd4a5a3502ff0d9d5afc8de73650",
"score": "0.7755455",
"text": "public void dump() {\n System.out.println(\"ENUM \" + identifier);\n int size = enums.size();\n for ( int idx = 0; idx < size; ++idx ) {\n JrpcgenConst c = (JrpcgenConst) enums.elementAt(idx);\n... | [
{
"docid": "8aede5b422577c4273df09fdd67bb0c7",
"score": "0.7053221",
"text": "public void print() {\n StringBuilder sb = new StringBuilder();\n sb.append(\"{\");\n for(String s : keySet()) {\n sb.append(s);\n sb.append(\"=\");\n sb.append(get(s).valu... |
1eb9f698ede6c7c12c66cc33a5b17239 | Creates new form PantallaVehiculo | [
{
"docid": "7135ffd0daeed67d2ee91162cbb6659a",
"score": "0.65881354",
"text": "public PantallaVehiculo() {\n initComponents();\n }",
"title": ""
}
] | [
{
"docid": "61a19a3821b49eb450bbb93f31a12b6a",
"score": "0.71415937",
"text": "@Override\r\n\tpublic void createVehiculo() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "293355e154f9d06137b9edd7c0b09ade",
"score": "0.6899952",
"text": "public void crearVenta() {\r\n VentasCliente... |
ab9e7e919d55ba1f45560955f1ed5dfc | test that the passed tile is on a 8x8 grid | [
{
"docid": "9d854e54cd6cadc644a1f90b917c07cc",
"score": "0.6836253",
"text": "private boolean inBoardRange(Tile tile){\n if(tile.getColumn() < 0 || tile.getColumn() > 7\n && tile.getRow() < 0 && tile.getColumn() > 7){\n return false; //outside of the board\n }\n ... | [
{
"docid": "f3f497cda80d5b585cc0b024a395c349",
"score": "0.6603064",
"text": "boolean nearTiles(int x, int y, int color, Board board)\r\n {\r\n\t boolean f1, f2, f3, f4;\r\n\t int i = 0;\r\n\t int j = 0;\r\n\t \r\n\t // KATAKORYFA\r\n\t \r\n\t // pros ta panw apo to (x,y)\r\n\t j = y+1;\r\n\t w... |
68f1432d9aa1cd97e98402c0ab36ccb6 | only used to subclass the model | [
{
"docid": "3bcad4fa9cceb7f2db302829a2545099",
"score": "0.62685764",
"text": "protected TableModel() {}",
"title": ""
}
] | [
{
"docid": "d3f63769cb7bc16bd583398fb55e3a5d",
"score": "0.7223197",
"text": "AbstractObjectModel(){\n\t\tsuper();\n\t}",
"title": ""
},
{
"docid": "ba0637752c9b0a6e2ad009020d92c9aa",
"score": "0.7128044",
"text": "protected abstract Model _getModel();",
"title": ""
},
{
... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "30665c1b76503ab0736e53fffd87d03f",
"score": "0.0",
"text": "public boolean isAadharNoCorrect(Object aadharNo) {\n\t\tif(((String) aadharNo).length() == 12)\n\t\t\treturn true;\n\t\telse\n\t\t\treturn false;\n\t}",
"title": ""
}
] | [
{
"docid": "d7194e467f51e022c107531d8614b6a3",
"score": "0.6905833",
"text": "@Override\r\n\tpublic void anular() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "cdf542363f5b089e84183e3d9020935f",
"score": "0.6697644",
"text": "@Override\n\t protected void ramana() {\n\t\t\n\t}",
"ti... |
3d074341a5acd1ccf933a87618f201b0 | Test case number: 30 / 456 covered goals: Goal 1. org.apache.commons.math3.complex.Complex.abs()D: Line 129 Goal 2. org.apache.commons.math3.complex.Complex.getReal()D: Line 385 Goal 3. org.apache.commons.math3.complex.Complex.abs()D: Line 132 Goal 4. org.apache.commons.math3.complex.Complex.abs()D: Line 133 Goal 5. or... | [
{
"docid": "a779b66dc782a5b7cf0bfc31f2d78c33",
"score": "0.6696521",
"text": "@Test\n public void test30() throws Throwable {\n Complex complex0 = new Complex(2987.5366362);\n Complex complex1 = complex0.sqrt1z();\n Complex complex2 = Complex.valueOf((-2829.0));\n double double0 =... | [
{
"docid": "81fa4511699d7d5e676386c1a367c4b0",
"score": "0.7234671",
"text": "@Test\n public void test57() throws Throwable {\n Complex complex0 = Complex.valueOf(0.0);\n double double0 = complex0.abs();\n Complex complex1 = complex0.pow(0.0);\n Complex complex2 = complex1.cosh();... |
77ef293b92a5fa01f55e989bdd5013c1 | Get the distance from previous waypoint to this one | [
{
"docid": "019f5c48c736d72699ecde4590cb8f43",
"score": "0.58214533",
"text": "public Integer getWaypointDistance(int idx){\n\t\tif(idx<0 || idx>=this.waypoints.size()) return null;\n\t\treturn this.distance.get(idx);\n\t}",
"title": ""
}
] | [
{
"docid": "19ba33d241d84ecc51f9d9645c35d4c9",
"score": "0.65276575",
"text": "public Pair<Direction, Integer> getDistance(Waypoint other) {\n\n Pair<Direction, Integer> result = null;\n if (other.absoluteX == this.absoluteX) {\n result = getDistance(other, 0, Direction.North);\... |
306c7d2142f67e4f2a2883794714242e | Basic test for Counter increment | [
{
"docid": "73a9bc1f6b428e6b547d44ef62fcf80d",
"score": "0.84591836",
"text": "@Test\n\tpublic void testCounterIncrement() {\n\t\tfor (int i=0; i<this.incrementTo; i++) {\n\t\t\tthis.counter.increment(this.key1);\n\t\t}\n\t\tassertThat(this.counter.get(this.key1), is(this.incrementTo));\n\t}",
"titl... | [
{
"docid": "bf4ab3b17560ff6f8eeeedf0de0910cb",
"score": "0.7545409",
"text": "@Test\n\tpublic void testCounterGet() {\n\t\t// Test that value is not in Counter\n\t\tassertFalse(this.counter.containsKey(this.key1));\n\t\t// Increment value once\n\t\tthis.counter.increment(this.key1);\n\t\t// Get value\n\... |
a61fdaa6b803814f933b8aa7b239e50f | Detects whether this iterator has completed its traversal and gone beyond the last entry in the collection of data. | [
{
"docid": "b6fdcea5f1b22e120b092e82676f90e9",
"score": "0.0",
"text": "@Override\n\tpublic boolean hasNext() {\n\t\tif (cursor+1 < theString.length()) {\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}",
"title": ""
}
] | [
{
"docid": "802dfb339b67a9988e6a03f897eef60e",
"score": "0.7200664",
"text": "protected boolean isFinished() {\n return index >= getArray().size();\n }",
"title": ""
},
{
"docid": "788fda454ab276830b051930e023bb11",
"score": "0.70389825",
"text": "public boolean isEnd()\r\n... |
99f7430eb911071c7227e69d7c7fc2f9 | Handhabt ein empfangenes DatenFrame | [
{
"docid": "dc5587aca6163c703cde8ecf8d6a2b71",
"score": "0.0",
"text": "public void handleDataFrame(MacHeader macHeader, LinkLayerMessage message) { \n\t\tif (macHeader.isUnicastMessage()) {\n\t\t\tmib.incReceivedFragmentCount();\n\t\t\tif (debug) {\n\t\t\t\tif (!macHeader.getMoreFragments() && (... | [
{
"docid": "498d0b1093ac7c10be8dc3b367284c52",
"score": "0.615675",
"text": "public void frameDay()\n\t{\n\t\tcolumnTitles2[0] = \"Index\";\n\t\tcolumnTitles2[1] = \"First Name\";\n\t\tcolumnTitles2[2] = \"Last Name\";\n\t\tcolumnTitles2[3] = \"Date\";\n\t\tcolumnTitles2[4] = \"Exercise Type\";\n\t\tcol... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "e301c5c588f75db49ee3ed38b8fb8feb",
"score": "0.0",
"text": "@Override\n\tprotected void onActivityResult(int requestCode, int resultCode, Intent data) {\n\t\tif (requestCode == IMAGE_PHOTO_CODE && resultCode == Activity.RESULT_OK) { // 相册\n\n\t\t\tUri contentUri = data.getData();\n//\t\t\tif... | [
{
"docid": "da34ed11fe7c5649b3cd0bdad6dca5df",
"score": "0.7115525",
"text": "@Override\n\t\tpublic void 비행() {\n\t\t\t\n\t\t}",
"title": ""
},
{
"docid": "99cfe01c5035e9a9ca6dafada0e4a005",
"score": "0.673545",
"text": "@Override\r\n\tpublic void caminar() {\r\n\t\t// TODO Auto-gen... |
630bca30492a0fdd359cae73ec62c236 | This method was generated by Apache iBATIS ibator. This method corresponds to the database table goods_comment | [
{
"docid": "f78d64488bccc35272da31561148742c",
"score": "0.0",
"text": "public List<Criteria> getOredCriteria() {\n\t\treturn oredCriteria;\n\t}",
"title": ""
}
] | [
{
"docid": "53f50c8d54dc553630f8e7bb24074fb5",
"score": "0.6818603",
"text": "@Override\n\tpublic List<Comment> GetGoodsComment(Integer goodsid) {\n\t\treturn null;\n\t}",
"title": ""
},
{
"docid": "6b126d21f5b965cf8d4f65b9b32c836a",
"score": "0.6298311",
"text": "public String getCo... |
6c6c7308fdb9d27ae32ac3bf3c66fd82 | Inflate the menu options from the res/menu/menu_editor.xml file. This adds menu items to the app bar. | [
{
"docid": "5c401935871f34e2efef01928064d652",
"score": "0.7287841",
"text": "@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.editor_menu, menu);\n return true;\n }",
"title": ""
}
] | [
{
"docid": "14a9bfb6ccbfb276db781c43f6033d3f",
"score": "0.7544708",
"text": "@Override\npublic boolean onCreateOptionsMenu(Menu menu) {\n getMenuInflater().inflate(R.menu.menu_editor, menu);\n return true;\n}",
"title": ""
},
{
"docid": "99266da50d63656eaaa3fe451a87a5fa",
"score":... |
302f9e4f6a7c6076eb3a7adc39f6d71f | Sets the associated portlet component id | [
{
"docid": "5c2506c9d234cbc52010769e369d528d",
"score": "0.7502026",
"text": "public void setComponentID(int compId);",
"title": ""
}
] | [
{
"docid": "b37849e581474165a1df757bcbf893e2",
"score": "0.7221675",
"text": "void xsetComponentID(amdocs.iam.pd.general.common.Long componentID);",
"title": ""
},
{
"docid": "da841e0317f07865dd6dd294a2d293ca",
"score": "0.72154117",
"text": "void setComponentID(java.lang.String comp... |