arrayList0 = new ArrayList<Attribute>();\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\n Attribute attribute0 = new Attribute(\"-\", \"-\", protectedProperties1);\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"(,Z;Xp#\\\"dxq[\", arrayList0, 1587);\n boolean boolean0 = discretize0.setInputFormat(instances0);\n boolean boolean1 = discretize0.batchFinished();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertTrue(boolean1 == boolean0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(boolean1);\n }","@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test022() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.toMatrixString(\"getPreBuiltClassifiers\");\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", NumberContext.of(7, 4));\n }","@Test\n public void test01() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test082() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\" -1 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test021() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(\"\", false);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test051() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }","@Test\n public void test30() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertFalse(boolean0);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.makeBinaryTipText();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"Make resulting attributes binary.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getMakeBinary());\n }","@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","public void testLiangFigure6() {\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\n\n for (int i = 0; i < ntimes - 1; i++) {\n cases[i][0] = a[i];\n cases[i][1] = b[i];\n cases[i][2] = c[i];\n cases[i + 1][3] = ap[i];\n cases[i + 1][4] = bp[i];\n cases[i + 1][5] = cp[i];\n }\n cases[8][0] = 0;\n cases[8][1] = 0;\n cases[8][2] = 0;\n cases[0][3] = 0;\n cases[0][4] = 0;\n cases[0][5] = 0;\n\n RevealEvaluator re = new RevealEvaluator(cases);\n\n double rea = re.entropy(a);\n assertEquals(1.0, rea, TOLERANCE);\n System.out.println(\"H(a) = \" + rea); //Should be 1.0\n\n double reb = re.entropy(b);\n assertEquals(1.0, reb, TOLERANCE);\n System.out.println(\"H(b) = \" + reb); //Should be 1.0\n\n double rec = re.entropy(c);\n assertEquals(1.0, rec, TOLERANCE);\n System.out.println(\"H(c) = \" + rec); //Should be 1.0\n\n double reab = re.jointEntropy(a, b);\n assertEquals(2.0, reab, TOLERANCE);\n System.out.println(\"H(a,b) = \" + reab); //Should be 2.0\n\n double reap = re.entropy(ap);\n assertEquals(1.0, reap, TOLERANCE);\n System.out.println(\"H(ap) = \" + reap); //Should be 1.0\n\n double rebp = re.entropy(bp);\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\n System.out.println(\"H(bp) = \" + rebp); //Should be 0.8112781244591328\n\n double recp = re.entropy(cp);\n assertEquals(1.0, recp, TOLERANCE);\n System.out.println(\"H(cp) = \" + recp); //Should be 1.0\n\n double reapa = re.jointEntropy(ap, a);\n assertEquals(2.0, reapa, TOLERANCE);\n System.out.println(\"H(ap, a) = \" + reapa); //Should be 2.0\n\n double rebpb = re.jointEntropy(bp, b);\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\n System.out.println(\n \"H(bp, b) = \" + rebpb); //Should be 1.8112781244591327\n\n double recpb = re.jointEntropy(cp, b);\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\n System.out.println(\n \"H(cp, b) = \" + recpb); //Should be 1.8112781244591327\n\n int[][] ab = new int[2][8];\n for (int i = 0; i < 8; i++) {\n ab[0][i] = a[i];\n ab[1][i] = b[i];\n }\n\n double rebpab = re.jointEntropy(bp, ab);\n assertEquals(2.5, rebpab, TOLERANCE);\n System.out.println(\"H(bp, a, b) = \" + rebpab); //Should be 2.5\n\n double recpab = re.jointEntropy(cp, ab);\n assertEquals(2.5, recpab, TOLERANCE);\n System.out.println(\"H(cp, a, b) = \" + recpab); //Should be 2.5\n\n int[][] abc = new int[3][8];\n for (int i = 0; i < 8; i++) {\n abc[0][i] = a[i];\n abc[1][i] = b[i];\n abc[2][i] = c[i];\n }\n\n double recpabc = re.jointEntropy(cp, abc);\n assertEquals(3.0, recpabc, TOLERANCE);\n System.out.println(\"H(cp, a, b, c) = \" + recpabc); //Should be 3.0\n\n //Setup array cases and test mutualInformation\n int[] p = new int[1];\n p[0] = 0;\n\n double rembpa = re.mutualInformation(4, p, 1);\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\n System.out.println(\n \"M(Bp, A) = \" + rembpa); //Should be 0.31127812445913294\n\n int[] pp = new int[2];\n pp[0] = 0;\n pp[1] = 1;\n\n double rmcpab = re.mutualInformation(5, pp, 1);\n assertEquals(0.5, rmcpab, TOLERANCE);\n System.out.println(\"M(Cp, [A,B]) = \" + rmcpab); //Should be 0.5\n\n int[] ppp = new int[3];\n ppp[0] = 0;\n ppp[1] = 1;\n ppp[2] = 2;\n\n double rmcpabc = re.mutualInformation(5, ppp, 1);\n assertEquals(1.0, rmcpabc, TOLERANCE);\n System.out.println(\"M(Cp, [A,B,C]) = \" + rmcpabc); //Should be 1.0\n\n }","@Test\n @Tag(\"slow\")\n public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n discretize0.m_UseEqualFrequency = true;\n discretize0.getOptions();\n assertTrue(discretize0.getMakeBinary());\n \n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test12() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.getRevision();\n assertEquals(\"8964\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n public void run () {\n\t \n\t System.out.println(\"---------->\");\n\t //System.out.println(md5list.getResult());\n\t //System.out.println(hashsearch.getResult());\n\t \n\t \n\t \n\t // System.out.println(samples.Testing());\n\t //System.out.println(\"getserult: \"+samples.getResult());\n\t \n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_13() {\n CuteNetlibCase.doTest(\"KEN-13.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test070() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test24() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n byte[] byteArray0 = new byte[3];\n byteArray0[0] = (byte)108;\n byteArray0[1] = (byte)27;\n byteArray0[2] = (byte)14;\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\n discretize0.setBins((-830));\n discretize0.getOptions();\n assertEquals((-830), discretize0.getBins());\n }","@Test(timeout = 4000)\n public void test036() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\n assertNotNull(doubleArray0);\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test28() throws Throwable {\n Discretize discretize0 = new Discretize();\n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n doubleArray2[5] = (-236.4995664359);\n doubleArray2[7] = 1421.4058829;\n doubleArray0[3] = doubleArray2;\n double[] doubleArray3 = new double[3];\n doubleArray3[0] = 0.0;\n doubleArray3[1] = (-236.4995664359);\n doubleArray0[4] = doubleArray3;\n double[] doubleArray4 = new double[21];\n doubleArray4[0] = 1421.4058829;\n doubleArray3[2] = (-236.4995664359);\n doubleArray4[4] = 1.7976931348623157E308;\n doubleArray0[7] = doubleArray4;\n discretize0.m_NumBins = 162;\n doubleArray0[1] = doubleArray4;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.getBinRangesString(1);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testSCRS8() {\n CuteNetlibCase.doTest(\"SCRS8.SIF\", \"960.0206152764557\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSC205() {\n CuteNetlibCase.doTest(\"SC205.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize(\"\\tInvert matching sense of column indexes.\");\n discretize0.setOutputFormat();\n discretize0.listOptions();\n Discretize discretize1 = new Discretize();\n discretize1.setIgnoreClass(false);\n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\\tInvert matching sense of column indexes.\";\n stringArray0[1] = \"\";\n Discretize.main(stringArray0);\n String string0 = discretize1.findNumBinsTipText();\n assertEquals(\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\", string0);\n \n discretize1.setInvertSelection(false);\n discretize0.getBinRangesString(511);\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n \n discretize1.getFindNumBins();\n assertEquals(10, discretize1.getBins());\n }","@Test(timeout = 4000)\n public void test006() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedAreaUnderPRC();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test19() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getCutPoints((-2276));\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","@Test(timeout = 4000)\n public void test049() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC((-1));\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getBinRangesString(2607);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test18() throws Throwable {\n Discretize discretize0 = new Discretize(\"%\");\n FileSystemHandling.createFolder((EvoSuiteFile) null);\n discretize0.findNumBinsTipText();\n double[][] doubleArray0 = new double[0][7];\n discretize0.m_CutPoints = doubleArray0;\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\n discretize0.setInvertSelection(false);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test(timeout = 4000)\n public void test088() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBRelativeInformation();\n assertEquals(0.0, double0, 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_11() {\n CuteNetlibCase.doTest(\"KEN-11.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize(\"'B1of2'\");\n int[] intArray0 = new int[8];\n intArray0[0] = 18;\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"'B1of2'\");\n discretize0.listOptions();\n String[] stringArray0 = discretize0.getOptions();\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(6, stringArray0.length);\n }","@Test\n @Tag(\"bm1000\")\n public void testSC105() {\n CuteNetlibCase.doTest(\"SC105.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test041() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.fMeasure((-2765));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testD2Q06C() {\n CuteNetlibCase.doTest(\"D2Q06C.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"unstable\")\n @Tag(\"bm1000\")\n public void testTUFF() {\n CuteNetlibCase.doTest(\"TUFF.SIF\", \"0.29214776509361284\", \"0.8949901867574317\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test01() throws Throwable {\n Discretize discretize0 = new Discretize(\"c9^n/\");\n discretize0.getCapabilities();\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test35() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n Attribute attribute0 = new Attribute(\"invalid CVS revision - not dots!\");\n attribute0.setWeight(0.0);\n Attribute.typeToString(attribute0);\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"UR<dj;O\", arrayList0, 3);\n Instances instances1 = new Instances(instances0);\n boolean boolean0 = discretize0.setInputFormat(instances1);\n assertFalse(boolean0);\n \n String[] stringArray0 = new String[3];\n stringArray0[0] = \".bsi\";\n stringArray0[1] = \"invalid CVS revision - not dots!\";\n stringArray0[2] = \"@end\";\n discretize0.setOptions(stringArray0);\n discretize0.setOptions(stringArray0);\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n }","@org.junit.Test\n public void coverage()\n {\n new Encodings();\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n int[] intArray0 = new int[6];\n intArray0[0] = (-388);\n intArray0[1] = (-2121610348);\n intArray0[2] = 11;\n intArray0[3] = (-1);\n intArray0[4] = 1062;\n intArray0[5] = 70;\n discretize0.setAttributeIndicesArray(intArray0);\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\n discretize0.getOptions();\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }"],"string":"[\n \"@Test(timeout = 4000)\\n public void test126() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.totalCost();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test112() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getHeader();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderPRC((-1));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test110() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test29() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.pctCorrect();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test025() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test40() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test118() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n \\n evaluation0.useNoPriors();\\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test108() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.avgCost();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test117() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test114() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertEquals(2, doubleArray0.length);\\n assertNotNull(doubleArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test086() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test012() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.priorEntropy();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test007() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setNumericPriorsFromBuffer();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test119() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n }\",\n \"@Test\\n public void test17() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test116() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test085() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test120() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test083() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"@Test\\n public void test35() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(Double.NaN, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test013() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test36() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.incorrect();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test121() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toClassDetailsString();\\n assertEquals(\\\"=== Detailed Accuracy By Class ===\\\\n\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test031() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives((-1436));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\n }\",\n \"@Test\\n public void test33() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test106() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setDiscardPredictions(false);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n }\",\n \"@Test\\n public void test16() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.SFSchemeEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(360, (-336.251));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test122() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"Y#:')*#rI\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numInstances();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"public void testSummaryStatsPartialLog() {\\n\\n // TODO: Create File in platform independent way.\\n File testFile = new File(\\\"src/test/data/dataset98.txt\\\");\\n GcManager gcManager = new GcManager();\\n File preprocessedFile = gcManager.preprocess(testFile, null);\\n gcManager.store(preprocessedFile, false);\\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\\n Assert.assertEquals(\\\"GC event type count not correct.\\\", 2, jvmRun.getEventTypes().size());\\n Assert.assertEquals(\\\"GC blocking event count not correct.\\\", 2, jvmRun.getBlockingEventCount());\\n Assert.assertEquals(\\\"GC pause total not correct.\\\", 61, jvmRun.getTotalGcPause());\\n Assert.assertEquals(\\\"GC first timestamp not correct.\\\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last timestamp not correct.\\\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last duration not correct.\\\", 41, jvmRun.getLastGcEvent().getDuration());\\n Assert.assertEquals(\\\"Stopped Time event count not correct.\\\", 6, jvmRun.getStoppedTimeEventCount());\\n Assert.assertEquals(\\\"Stopped time total not correct.\\\", 1064, jvmRun.getTotalStoppedTime());\\n Assert.assertEquals(\\\"Stopped first timestamp not correct.\\\", 1000964,\\n jvmRun.getFirstStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last timestamp not correct.\\\", 1003884,\\n jvmRun.getLastStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last duration not correct.\\\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\\n Assert.assertEquals(\\\"JVM first event timestamp not correct.\\\", 1000964, jvmRun.getFirstEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM last event timestamp not correct.\\\", 1003884, jvmRun.getLastEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM run duration not correct.\\\", 3920, jvmRun.getJvmRunDuration());\\n Assert.assertEquals(\\\"GC throughput not correct.\\\", 98, jvmRun.getGcThroughput());\\n Assert.assertEquals(\\\"Stopped time throughput not correct.\\\", 73, jvmRun.getStoppedTimeThroughput());\\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \\\" analysis not identified.\\\",\\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\\n }\",\n \"@Test(timeout = 4000)\\n public void test109() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertFalse(boolean0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n public void test13() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test093() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n Object[] objectArray0 = new Object[2];\\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test084() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"l*{e5SNh\\\");\\n boolean boolean0 = true;\\n discretize0.m_ClassIndex = 177;\\n discretize0.setUseEqualFrequency(true);\\n double[][] doubleArray0 = new double[5][9];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[0] = (double) 177;\\n doubleArray1[1] = (double) 177;\\n doubleArray1[2] = (double) 177;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[2];\\n doubleArray2[0] = (double) 177;\\n doubleArray2[1] = (double) 177;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[9];\\n doubleArray3[0] = (double) 177;\\n doubleArray3[1] = (double) 177;\\n doubleArray3[2] = (double) 177;\\n doubleArray3[3] = (double) 177;\\n doubleArray3[4] = (double) 177;\\n doubleArray3[5] = (double) 177;\\n doubleArray3[6] = (double) 177;\\n doubleArray3[7] = (double) 177;\\n doubleArray3[8] = (double) 177;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[8];\\n doubleArray4[0] = (double) 177;\\n doubleArray4[1] = (double) 177;\\n doubleArray4[2] = (double) 177;\\n doubleArray4[3] = (double) 177;\\n doubleArray4[4] = (double) 177;\\n doubleArray4[5] = (double) 177;\\n doubleArray4[6] = (double) 177;\\n doubleArray4[7] = (double) 177;\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[0];\\n doubleArray0[4] = doubleArray5;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.listOptions();\\n discretize0.setIgnoreClass(true);\\n String[] stringArray0 = new String[0];\\n Discretize.main(stringArray0);\\n discretize0.findNumBinsTipText();\\n discretize0.setInvertSelection(true);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(511);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 511\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test024() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test026() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.recall((-9));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test18() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test048() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC(17);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test011() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.unclassified();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(2, doubleArray0.length);\\n }\",\n \"@Test\\n public void test19() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBInformation();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test36() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\\n Attribute attribute0 = new Attribute(\\\"-\\\", \\\"-\\\", protectedProperties1);\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"(,Z;Xp#\\\\\\\"dxq[\\\", arrayList0, 1587);\\n boolean boolean0 = discretize0.setInputFormat(instances0);\\n boolean boolean1 = discretize0.batchFinished();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertTrue(boolean1 == boolean0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(boolean1);\\n }\",\n \"@Test(timeout = 4000)\\n public void test074() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test022() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.toMatrixString(\\\"getPreBuiltClassifiers\\\");\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test01() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test103() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test21() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.errorRate();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test021() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(\\\"\\\", false);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test051() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test\\n public void test30() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertFalse(boolean0);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.makeBinaryTipText();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"Make resulting attributes binary.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test\\n public void test22() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FastVector fastVector0 = evaluation0.predictions();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"public void testLiangFigure6() {\\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\\n\\n for (int i = 0; i < ntimes - 1; i++) {\\n cases[i][0] = a[i];\\n cases[i][1] = b[i];\\n cases[i][2] = c[i];\\n cases[i + 1][3] = ap[i];\\n cases[i + 1][4] = bp[i];\\n cases[i + 1][5] = cp[i];\\n }\\n cases[8][0] = 0;\\n cases[8][1] = 0;\\n cases[8][2] = 0;\\n cases[0][3] = 0;\\n cases[0][4] = 0;\\n cases[0][5] = 0;\\n\\n RevealEvaluator re = new RevealEvaluator(cases);\\n\\n double rea = re.entropy(a);\\n assertEquals(1.0, rea, TOLERANCE);\\n System.out.println(\\\"H(a) = \\\" + rea); //Should be 1.0\\n\\n double reb = re.entropy(b);\\n assertEquals(1.0, reb, TOLERANCE);\\n System.out.println(\\\"H(b) = \\\" + reb); //Should be 1.0\\n\\n double rec = re.entropy(c);\\n assertEquals(1.0, rec, TOLERANCE);\\n System.out.println(\\\"H(c) = \\\" + rec); //Should be 1.0\\n\\n double reab = re.jointEntropy(a, b);\\n assertEquals(2.0, reab, TOLERANCE);\\n System.out.println(\\\"H(a,b) = \\\" + reab); //Should be 2.0\\n\\n double reap = re.entropy(ap);\\n assertEquals(1.0, reap, TOLERANCE);\\n System.out.println(\\\"H(ap) = \\\" + reap); //Should be 1.0\\n\\n double rebp = re.entropy(bp);\\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\\n System.out.println(\\\"H(bp) = \\\" + rebp); //Should be 0.8112781244591328\\n\\n double recp = re.entropy(cp);\\n assertEquals(1.0, recp, TOLERANCE);\\n System.out.println(\\\"H(cp) = \\\" + recp); //Should be 1.0\\n\\n double reapa = re.jointEntropy(ap, a);\\n assertEquals(2.0, reapa, TOLERANCE);\\n System.out.println(\\\"H(ap, a) = \\\" + reapa); //Should be 2.0\\n\\n double rebpb = re.jointEntropy(bp, b);\\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\\n System.out.println(\\n \\\"H(bp, b) = \\\" + rebpb); //Should be 1.8112781244591327\\n\\n double recpb = re.jointEntropy(cp, b);\\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\\n System.out.println(\\n \\\"H(cp, b) = \\\" + recpb); //Should be 1.8112781244591327\\n\\n int[][] ab = new int[2][8];\\n for (int i = 0; i < 8; i++) {\\n ab[0][i] = a[i];\\n ab[1][i] = b[i];\\n }\\n\\n double rebpab = re.jointEntropy(bp, ab);\\n assertEquals(2.5, rebpab, TOLERANCE);\\n System.out.println(\\\"H(bp, a, b) = \\\" + rebpab); //Should be 2.5\\n\\n double recpab = re.jointEntropy(cp, ab);\\n assertEquals(2.5, recpab, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b) = \\\" + recpab); //Should be 2.5\\n\\n int[][] abc = new int[3][8];\\n for (int i = 0; i < 8; i++) {\\n abc[0][i] = a[i];\\n abc[1][i] = b[i];\\n abc[2][i] = c[i];\\n }\\n\\n double recpabc = re.jointEntropy(cp, abc);\\n assertEquals(3.0, recpabc, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b, c) = \\\" + recpabc); //Should be 3.0\\n\\n //Setup array cases and test mutualInformation\\n int[] p = new int[1];\\n p[0] = 0;\\n\\n double rembpa = re.mutualInformation(4, p, 1);\\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\\n System.out.println(\\n \\\"M(Bp, A) = \\\" + rembpa); //Should be 0.31127812445913294\\n\\n int[] pp = new int[2];\\n pp[0] = 0;\\n pp[1] = 1;\\n\\n double rmcpab = re.mutualInformation(5, pp, 1);\\n assertEquals(0.5, rmcpab, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B]) = \\\" + rmcpab); //Should be 0.5\\n\\n int[] ppp = new int[3];\\n ppp[0] = 0;\\n ppp[1] = 1;\\n ppp[2] = 2;\\n\\n double rmcpabc = re.mutualInformation(5, ppp, 1);\\n assertEquals(1.0, rmcpabc, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B,C]) = \\\" + rmcpabc); //Should be 1.0\\n\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_UseEqualFrequency = true;\\n discretize0.getOptions();\\n assertTrue(discretize0.getMakeBinary());\\n \\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.getRevision();\\n assertEquals(\\\"8964\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n public void run () {\\n\\t \\n\\t System.out.println(\\\"---------->\\\");\\n\\t //System.out.println(md5list.getResult());\\n\\t //System.out.println(hashsearch.getResult());\\n\\t \\n\\t \\n\\t \\n\\t // System.out.println(samples.Testing());\\n\\t //System.out.println(\\\"getserult: \\\"+samples.getResult());\\n\\t \\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_13() {\\n CuteNetlibCase.doTest(\\\"KEN-13.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test070() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n byte[] byteArray0 = new byte[3];\\n byteArray0[0] = (byte)108;\\n byteArray0[1] = (byte)27;\\n byteArray0[2] = (byte)14;\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n discretize0.setBins((-830));\\n discretize0.getOptions();\\n assertEquals((-830), discretize0.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\\n assertNotNull(doubleArray0);\\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n doubleArray2[5] = (-236.4995664359);\\n doubleArray2[7] = 1421.4058829;\\n doubleArray0[3] = doubleArray2;\\n double[] doubleArray3 = new double[3];\\n doubleArray3[0] = 0.0;\\n doubleArray3[1] = (-236.4995664359);\\n doubleArray0[4] = doubleArray3;\\n double[] doubleArray4 = new double[21];\\n doubleArray4[0] = 1421.4058829;\\n doubleArray3[2] = (-236.4995664359);\\n doubleArray4[4] = 1.7976931348623157E308;\\n doubleArray0[7] = doubleArray4;\\n discretize0.m_NumBins = 162;\\n doubleArray0[1] = doubleArray4;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.getBinRangesString(1);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\\tInvert matching sense of column indexes.\\\");\\n discretize0.setOutputFormat();\\n discretize0.listOptions();\\n Discretize discretize1 = new Discretize();\\n discretize1.setIgnoreClass(false);\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\\tInvert matching sense of column indexes.\\\";\\n stringArray0[1] = \\\"\\\";\\n Discretize.main(stringArray0);\\n String string0 = discretize1.findNumBinsTipText();\\n assertEquals(\\\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\\\", string0);\\n \\n discretize1.setInvertSelection(false);\\n discretize0.getBinRangesString(511);\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n \\n discretize1.getFindNumBins();\\n assertEquals(10, discretize1.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test006() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.weightedAreaUnderPRC();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getCutPoints((-2276));\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"@Test(timeout = 4000)\\n public void test049() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC((-1));\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getBinRangesString(2607);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test18() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"%\\\");\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n discretize0.findNumBinsTipText();\\n double[][] doubleArray0 = new double[0][7];\\n discretize0.m_CutPoints = doubleArray0;\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\\n discretize0.setInvertSelection(false);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test088() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBRelativeInformation();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_11() {\\n CuteNetlibCase.doTest(\\\"KEN-11.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"'B1of2'\\\");\\n int[] intArray0 = new int[8];\\n intArray0[0] = 18;\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"'B1of2'\\\");\\n discretize0.listOptions();\\n String[] stringArray0 = discretize0.getOptions();\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(6, stringArray0.length);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC105() {\\n CuteNetlibCase.doTest(\\\"SC105.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test041() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.fMeasure((-2765));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testD2Q06C() {\\n CuteNetlibCase.doTest(\\\"D2Q06C.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"unstable\\\")\\n @Tag(\\\"bm1000\\\")\\n public void testTUFF() {\\n CuteNetlibCase.doTest(\\\"TUFF.SIF\\\", \\\"0.29214776509361284\\\", \\\"0.8949901867574317\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test01() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"c9^n/\\\");\\n discretize0.getCapabilities();\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test35() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n Attribute attribute0 = new Attribute(\\\"invalid CVS revision - not dots!\\\");\\n attribute0.setWeight(0.0);\\n Attribute.typeToString(attribute0);\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"UR<dj;O\\\", arrayList0, 3);\\n Instances instances1 = new Instances(instances0);\\n boolean boolean0 = discretize0.setInputFormat(instances1);\\n assertFalse(boolean0);\\n \\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\".bsi\\\";\\n stringArray0[1] = \\\"invalid CVS revision - not dots!\\\";\\n stringArray0[2] = \\\"@end\\\";\\n discretize0.setOptions(stringArray0);\\n discretize0.setOptions(stringArray0);\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n }\",\n \"@org.junit.Test\\n public void coverage()\\n {\\n new Encodings();\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n int[] intArray0 = new int[6];\\n intArray0[0] = (-388);\\n intArray0[1] = (-2121610348);\\n intArray0[2] = 11;\\n intArray0[3] = (-1);\\n intArray0[4] = 1062;\\n intArray0[5] = 70;\\n discretize0.setAttributeIndicesArray(intArray0);\\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\\n discretize0.getOptions();\\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7324349","0.724111","0.6909434","0.6883437","0.68705183","0.68696135","0.6846528","0.68141216","0.6813038","0.67665184","0.67476875","0.674148","0.6738873","0.6734463","0.6734224","0.67339134","0.6730776","0.6711871","0.6694753","0.66839314","0.6683656","0.6573215","0.6573097","0.6570897","0.65580946","0.65387356","0.6517465","0.65035415","0.64967483","0.64798313","0.647044","0.6462816","0.6425543","0.64001423","0.639845","0.6387207","0.63862205","0.6380631","0.6374927","0.63741463","0.6369553","0.63650584","0.6364481","0.6364276","0.6355889","0.63547295","0.63498837","0.63306665","0.6311731","0.6304926","0.62962544","0.6288831","0.6281461","0.62809515","0.6278168","0.62669307","0.6253205","0.62469965","0.62433094","0.62430674","0.6240848","0.62104434","0.62089306","0.6204852","0.6196244","0.618757","0.6186299","0.616081","0.6150091","0.61309344","0.61306435","0.6128457","0.6124027","0.6121244","0.61095035","0.6107408","0.6107324","0.6095161","0.6084845","0.60769576","0.60740143","0.60737914","0.6064098","0.6060685","0.6046275","0.60435545","0.60334337","0.6033205","0.60177886","0.6012619","0.600226","0.5999649","0.59990484","0.5990779","0.59875965","0.597107","0.59703416","0.59683853","0.596215","0.5957198","0.5950403"],"string":"[\n \"0.7324349\",\n \"0.724111\",\n \"0.6909434\",\n \"0.6883437\",\n \"0.68705183\",\n \"0.68696135\",\n \"0.6846528\",\n \"0.68141216\",\n \"0.6813038\",\n \"0.67665184\",\n \"0.67476875\",\n \"0.674148\",\n \"0.6738873\",\n \"0.6734463\",\n \"0.6734224\",\n \"0.67339134\",\n \"0.6730776\",\n \"0.6711871\",\n \"0.6694753\",\n \"0.66839314\",\n \"0.6683656\",\n \"0.6573215\",\n \"0.6573097\",\n \"0.6570897\",\n \"0.65580946\",\n \"0.65387356\",\n \"0.6517465\",\n \"0.65035415\",\n \"0.64967483\",\n \"0.64798313\",\n \"0.647044\",\n \"0.6462816\",\n \"0.6425543\",\n \"0.64001423\",\n \"0.639845\",\n \"0.6387207\",\n \"0.63862205\",\n \"0.6380631\",\n \"0.6374927\",\n \"0.63741463\",\n \"0.6369553\",\n \"0.63650584\",\n \"0.6364481\",\n \"0.6364276\",\n \"0.6355889\",\n \"0.63547295\",\n \"0.63498837\",\n \"0.63306665\",\n \"0.6311731\",\n \"0.6304926\",\n \"0.62962544\",\n \"0.6288831\",\n \"0.6281461\",\n \"0.62809515\",\n \"0.6278168\",\n \"0.62669307\",\n \"0.6253205\",\n \"0.62469965\",\n \"0.62433094\",\n \"0.62430674\",\n \"0.6240848\",\n \"0.62104434\",\n \"0.62089306\",\n \"0.6204852\",\n \"0.6196244\",\n \"0.618757\",\n \"0.6186299\",\n \"0.616081\",\n \"0.6150091\",\n \"0.61309344\",\n \"0.61306435\",\n \"0.6128457\",\n \"0.6124027\",\n \"0.6121244\",\n \"0.61095035\",\n \"0.6107408\",\n \"0.6107324\",\n \"0.6095161\",\n \"0.6084845\",\n \"0.60769576\",\n \"0.60740143\",\n \"0.60737914\",\n \"0.6064098\",\n \"0.6060685\",\n \"0.6046275\",\n \"0.60435545\",\n \"0.60334337\",\n \"0.6033205\",\n \"0.60177886\",\n \"0.6012619\",\n \"0.600226\",\n \"0.5999649\",\n \"0.59990484\",\n \"0.5990779\",\n \"0.59875965\",\n \"0.597107\",\n \"0.59703416\",\n \"0.59683853\",\n \"0.596215\",\n \"0.5957198\",\n \"0.5950403\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119392,"cells":{"query":{"kind":"string","value":"Test case number: 139 /Coverage entropy=1.0808652357149393"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test139() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\":E<;\");\n Token token0 = xPathLexer0.nextToken();\n assertEquals(18, token0.getTokenType());\n assertEquals(\":\", token0.getTokenText());\n \n Token token1 = xPathLexer0.nextToken();\n assertEquals(15, token1.getTokenType());\n assertEquals(\"E\", token1.getTokenText());\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test110() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test118() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test025() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test050() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderPRC((-1));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test117() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test40() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\n }","@Test(timeout = 4000)\n public void test119() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString((String) null, true);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(\"null\\nTotal Number of Instances 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test108() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.avgCost();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test120() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctIncorrect();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test113() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(false);\n assertEquals(\"=== Summary ===\\n\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n }","@Test(timeout = 4000)\n public void test086() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test114() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertEquals(2, doubleArray0.length);\n assertNotNull(doubleArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test007() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setNumericPriorsFromBuffer();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Override\n protected long getTestSolution() {\n return 100024;\n }","@Test(timeout = 4000)\n public void test083() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test085() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test031() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives((-1436));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test013() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test17() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test35() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test121() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toClassDetailsString();\n assertEquals(\"=== Detailed Accuracy By Class ===\\n\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test087() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test36() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.incorrect();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test068() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(360, (-336.251));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test106() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setDiscardPredictions(false);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n }","@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","public void testSummaryStatsPartialLog() {\n\n // TODO: Create File in platform independent way.\n File testFile = new File(\"src/test/data/dataset98.txt\");\n GcManager gcManager = new GcManager();\n File preprocessedFile = gcManager.preprocess(testFile, null);\n gcManager.store(preprocessedFile, false);\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\n Assert.assertEquals(\"GC event type count not correct.\", 2, jvmRun.getEventTypes().size());\n Assert.assertEquals(\"GC blocking event count not correct.\", 2, jvmRun.getBlockingEventCount());\n Assert.assertEquals(\"GC pause total not correct.\", 61, jvmRun.getTotalGcPause());\n Assert.assertEquals(\"GC first timestamp not correct.\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last timestamp not correct.\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last duration not correct.\", 41, jvmRun.getLastGcEvent().getDuration());\n Assert.assertEquals(\"Stopped Time event count not correct.\", 6, jvmRun.getStoppedTimeEventCount());\n Assert.assertEquals(\"Stopped time total not correct.\", 1064, jvmRun.getTotalStoppedTime());\n Assert.assertEquals(\"Stopped first timestamp not correct.\", 1000964,\n jvmRun.getFirstStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last timestamp not correct.\", 1003884,\n jvmRun.getLastStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last duration not correct.\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\n Assert.assertEquals(\"JVM first event timestamp not correct.\", 1000964, jvmRun.getFirstEvent().getTimestamp());\n Assert.assertEquals(\"JVM last event timestamp not correct.\", 1003884, jvmRun.getLastEvent().getTimestamp());\n Assert.assertEquals(\"JVM run duration not correct.\", 3920, jvmRun.getJvmRunDuration());\n Assert.assertEquals(\"GC throughput not correct.\", 98, jvmRun.getGcThroughput());\n Assert.assertEquals(\"Stopped time throughput not correct.\", 73, jvmRun.getStoppedTimeThroughput());\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \" analysis not identified.\",\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\n }","@Test\n @Tag(\"slow\")\n public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test109() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test022() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.toMatrixString(\"getPreBuiltClassifiers\");\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test011() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unclassified();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test122() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"Y#:')*#rI\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numInstances();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", NumberContext.of(7, 4));\n }","@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test021() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(\"\", false);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test024() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test084() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01);\n }","@Test\n public void test19() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBInformation();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test16() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.SFSchemeEntropy();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test048() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC(17);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l*{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test(timeout = 4000)\n public void test082() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\" -1 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test\n public void test30() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertFalse(boolean0);\n }","@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }","@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test051() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test13() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test\n public void test01() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test36() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\n Attribute attribute0 = new Attribute(\"-\", \"-\", protectedProperties1);\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"(,Z;Xp#\\\"dxq[\", arrayList0, 1587);\n boolean boolean0 = discretize0.setInputFormat(instances0);\n boolean boolean1 = discretize0.batchFinished();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertTrue(boolean1 == boolean0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(boolean1);\n }","@Test\n @Tag(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test070() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test12() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.getRevision();\n assertEquals(\"8964\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.makeBinaryTipText();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"Make resulting attributes binary.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getMakeBinary());\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", NumberContext.of(7, 4));\n }","@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_13() {\n CuteNetlibCase.doTest(\"KEN-13.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test041() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.fMeasure((-2765));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n discretize0.m_UseEqualFrequency = true;\n discretize0.getOptions();\n assertTrue(discretize0.getMakeBinary());\n \n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test\n @Tag(\"bm1000\")\n public void testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize(\"\\tInvert matching sense of column indexes.\");\n discretize0.setOutputFormat();\n discretize0.listOptions();\n Discretize discretize1 = new Discretize();\n discretize1.setIgnoreClass(false);\n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\\tInvert matching sense of column indexes.\";\n stringArray0[1] = \"\";\n Discretize.main(stringArray0);\n String string0 = discretize1.findNumBinsTipText();\n assertEquals(\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\", string0);\n \n discretize1.setInvertSelection(false);\n discretize0.getBinRangesString(511);\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n \n discretize1.getFindNumBins();\n assertEquals(10, discretize1.getBins());\n }","public void testLiangFigure6() {\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\n\n for (int i = 0; i < ntimes - 1; i++) {\n cases[i][0] = a[i];\n cases[i][1] = b[i];\n cases[i][2] = c[i];\n cases[i + 1][3] = ap[i];\n cases[i + 1][4] = bp[i];\n cases[i + 1][5] = cp[i];\n }\n cases[8][0] = 0;\n cases[8][1] = 0;\n cases[8][2] = 0;\n cases[0][3] = 0;\n cases[0][4] = 0;\n cases[0][5] = 0;\n\n RevealEvaluator re = new RevealEvaluator(cases);\n\n double rea = re.entropy(a);\n assertEquals(1.0, rea, TOLERANCE);\n System.out.println(\"H(a) = \" + rea); //Should be 1.0\n\n double reb = re.entropy(b);\n assertEquals(1.0, reb, TOLERANCE);\n System.out.println(\"H(b) = \" + reb); //Should be 1.0\n\n double rec = re.entropy(c);\n assertEquals(1.0, rec, TOLERANCE);\n System.out.println(\"H(c) = \" + rec); //Should be 1.0\n\n double reab = re.jointEntropy(a, b);\n assertEquals(2.0, reab, TOLERANCE);\n System.out.println(\"H(a,b) = \" + reab); //Should be 2.0\n\n double reap = re.entropy(ap);\n assertEquals(1.0, reap, TOLERANCE);\n System.out.println(\"H(ap) = \" + reap); //Should be 1.0\n\n double rebp = re.entropy(bp);\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\n System.out.println(\"H(bp) = \" + rebp); //Should be 0.8112781244591328\n\n double recp = re.entropy(cp);\n assertEquals(1.0, recp, TOLERANCE);\n System.out.println(\"H(cp) = \" + recp); //Should be 1.0\n\n double reapa = re.jointEntropy(ap, a);\n assertEquals(2.0, reapa, TOLERANCE);\n System.out.println(\"H(ap, a) = \" + reapa); //Should be 2.0\n\n double rebpb = re.jointEntropy(bp, b);\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\n System.out.println(\n \"H(bp, b) = \" + rebpb); //Should be 1.8112781244591327\n\n double recpb = re.jointEntropy(cp, b);\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\n System.out.println(\n \"H(cp, b) = \" + recpb); //Should be 1.8112781244591327\n\n int[][] ab = new int[2][8];\n for (int i = 0; i < 8; i++) {\n ab[0][i] = a[i];\n ab[1][i] = b[i];\n }\n\n double rebpab = re.jointEntropy(bp, ab);\n assertEquals(2.5, rebpab, TOLERANCE);\n System.out.println(\"H(bp, a, b) = \" + rebpab); //Should be 2.5\n\n double recpab = re.jointEntropy(cp, ab);\n assertEquals(2.5, recpab, TOLERANCE);\n System.out.println(\"H(cp, a, b) = \" + recpab); //Should be 2.5\n\n int[][] abc = new int[3][8];\n for (int i = 0; i < 8; i++) {\n abc[0][i] = a[i];\n abc[1][i] = b[i];\n abc[2][i] = c[i];\n }\n\n double recpabc = re.jointEntropy(cp, abc);\n assertEquals(3.0, recpabc, TOLERANCE);\n System.out.println(\"H(cp, a, b, c) = \" + recpabc); //Should be 3.0\n\n //Setup array cases and test mutualInformation\n int[] p = new int[1];\n p[0] = 0;\n\n double rembpa = re.mutualInformation(4, p, 1);\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\n System.out.println(\n \"M(Bp, A) = \" + rembpa); //Should be 0.31127812445913294\n\n int[] pp = new int[2];\n pp[0] = 0;\n pp[1] = 1;\n\n double rmcpab = re.mutualInformation(5, pp, 1);\n assertEquals(0.5, rmcpab, TOLERANCE);\n System.out.println(\"M(Cp, [A,B]) = \" + rmcpab); //Should be 0.5\n\n int[] ppp = new int[3];\n ppp[0] = 0;\n ppp[1] = 1;\n ppp[2] = 2;\n\n double rmcpabc = re.mutualInformation(5, ppp, 1);\n assertEquals(1.0, rmcpabc, TOLERANCE);\n System.out.println(\"M(Cp, [A,B,C]) = \" + rmcpabc); //Should be 1.0\n\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test24() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n byte[] byteArray0 = new byte[3];\n byteArray0[0] = (byte)108;\n byteArray0[1] = (byte)27;\n byteArray0[2] = (byte)14;\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\n discretize0.setBins((-830));\n discretize0.getOptions();\n assertEquals((-830), discretize0.getBins());\n }","@Test(timeout = 4000)\n public void test111() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.relativeAbsoluteError();\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n }","@Test(timeout = 4000)\n public void test088() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBRelativeInformation();\n assertEquals(0.0, double0, 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testSCRS8() {\n CuteNetlibCase.doTest(\"SCRS8.SIF\", \"960.0206152764557\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test036() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\n assertNotNull(doubleArray0);\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test19() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getCutPoints((-2276));\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","@Test\n public void run () {\n\t \n\t System.out.println(\"---------->\");\n\t //System.out.println(md5list.getResult());\n\t //System.out.println(hashsearch.getResult());\n\t \n\t \n\t \n\t // System.out.println(samples.Testing());\n\t //System.out.println(\"getserult: \"+samples.getResult());\n\t \n }","@Test(timeout = 4000)\n public void test28() throws Throwable {\n Discretize discretize0 = new Discretize();\n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n doubleArray2[5] = (-236.4995664359);\n doubleArray2[7] = 1421.4058829;\n doubleArray0[3] = doubleArray2;\n double[] doubleArray3 = new double[3];\n doubleArray3[0] = 0.0;\n doubleArray3[1] = (-236.4995664359);\n doubleArray0[4] = doubleArray3;\n double[] doubleArray4 = new double[21];\n doubleArray4[0] = 1421.4058829;\n doubleArray3[2] = (-236.4995664359);\n doubleArray4[4] = 1.7976931348623157E308;\n doubleArray0[7] = doubleArray4;\n discretize0.m_NumBins = 162;\n doubleArray0[1] = doubleArray4;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.getBinRangesString(1);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_11() {\n CuteNetlibCase.doTest(\"KEN-11.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSC205() {\n CuteNetlibCase.doTest(\"SC205.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test\n public void testDAM30601001() {\n testDAM30102001();\n }","@Test(timeout = 4000)\n public void test006() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedAreaUnderPRC();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test18() throws Throwable {\n Discretize discretize0 = new Discretize(\"%\");\n FileSystemHandling.createFolder((EvoSuiteFile) null);\n discretize0.findNumBinsTipText();\n double[][] doubleArray0 = new double[0][7];\n discretize0.m_CutPoints = doubleArray0;\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\n discretize0.setInvertSelection(false);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test\n @Tag(\"slow\")\n public void test25FV47() {\n CuteNetlibCase.doTest(\"25FV47.SIF\", \"5501.845888286646\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test049() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC((-1));\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test040() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.falseNegativeRate((-2));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getBinRangesString(2607);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testD2Q06C() {\n CuteNetlibCase.doTest(\"D2Q06C.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test55() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n StringKernel stringKernel0 = new StringKernel();\n Capabilities capabilities0 = stringKernel0.getCapabilities();\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n Instances instances0 = testInstances0.generate();\n naiveBayesMultinomialText0.buildClassifier(instances0);\n String string0 = naiveBayesMultinomialText0.toString();\n assertEquals(\"The independent probability of a class\\n--------------------------------------\\nclass1\\t6.0\\nclass2\\t6.0\\nclass3\\t6.0\\nclass4\\t6.0\\n\\nThe probability of a word given the class\\n-----------------------------------------\\n\\tclass1\\tclass2\\tclass3\\tclass4\\t\\nover\\t7.38905609893065\\t7.38905609893065\\t2.718281828459045\\t2.718281828459045\\t\\nthe\\t2.718281828459045\\t7.38905609893065\\t7.38905609893065\\t2.718281828459045\\t\\nThe\\t7.38905609893065\\t7.38905609893065\\t2.718281828459045\\t2.718281828459045\\t\\nquick\\t7.38905609893065\\t7.38905609893065\\t7.38905609893065\\t2.718281828459045\\t\\nlazy\\t2.718281828459045\\t2.718281828459045\\t7.38905609893065\\t7.38905609893065\\t\\njumps\\t7.38905609893065\\t2.718281828459045\\t2.718281828459045\\t7.38905609893065\\t\\nbrown\\t2.718281828459045\\t7.38905609893065\\t7.38905609893065\\t7.38905609893065\\t\\ndog\\t7.38905609893065\\t2.718281828459045\\t2.718281828459045\\t7.38905609893065\\t\\nfox\\t2.718281828459045\\t2.718281828459045\\t7.38905609893065\\t7.38905609893065\\t\\n\", string0);\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testMODSZK1() {\n CuteNetlibCase.doTest(\"MODSZK1.SIF\", \"320.6197293824883\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSC105() {\n CuteNetlibCase.doTest(\"SC105.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }"],"string":"[\n \"@Test(timeout = 4000)\\n public void test126() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.totalCost();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test112() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getHeader();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test110() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test29() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.pctCorrect();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test118() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n \\n evaluation0.useNoPriors();\\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test025() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderPRC((-1));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test117() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test40() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test119() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test108() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.avgCost();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test120() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test086() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test012() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.priorEntropy();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test114() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertEquals(2, doubleArray0.length);\\n assertNotNull(doubleArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test007() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setNumericPriorsFromBuffer();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\n }\",\n \"@Test(timeout = 4000)\\n public void test083() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test085() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test031() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives((-1436));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test013() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test17() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test116() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test35() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(Double.NaN, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test121() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toClassDetailsString();\\n assertEquals(\\\"=== Detailed Accuracy By Class ===\\\\n\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test36() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.incorrect();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(360, (-336.251));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test33() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test106() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setDiscardPredictions(false);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n }\",\n \"@Test(timeout = 4000)\\n public void test026() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.recall((-9));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"public void testSummaryStatsPartialLog() {\\n\\n // TODO: Create File in platform independent way.\\n File testFile = new File(\\\"src/test/data/dataset98.txt\\\");\\n GcManager gcManager = new GcManager();\\n File preprocessedFile = gcManager.preprocess(testFile, null);\\n gcManager.store(preprocessedFile, false);\\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\\n Assert.assertEquals(\\\"GC event type count not correct.\\\", 2, jvmRun.getEventTypes().size());\\n Assert.assertEquals(\\\"GC blocking event count not correct.\\\", 2, jvmRun.getBlockingEventCount());\\n Assert.assertEquals(\\\"GC pause total not correct.\\\", 61, jvmRun.getTotalGcPause());\\n Assert.assertEquals(\\\"GC first timestamp not correct.\\\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last timestamp not correct.\\\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last duration not correct.\\\", 41, jvmRun.getLastGcEvent().getDuration());\\n Assert.assertEquals(\\\"Stopped Time event count not correct.\\\", 6, jvmRun.getStoppedTimeEventCount());\\n Assert.assertEquals(\\\"Stopped time total not correct.\\\", 1064, jvmRun.getTotalStoppedTime());\\n Assert.assertEquals(\\\"Stopped first timestamp not correct.\\\", 1000964,\\n jvmRun.getFirstStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last timestamp not correct.\\\", 1003884,\\n jvmRun.getLastStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last duration not correct.\\\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\\n Assert.assertEquals(\\\"JVM first event timestamp not correct.\\\", 1000964, jvmRun.getFirstEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM last event timestamp not correct.\\\", 1003884, jvmRun.getLastEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM run duration not correct.\\\", 3920, jvmRun.getJvmRunDuration());\\n Assert.assertEquals(\\\"GC throughput not correct.\\\", 98, jvmRun.getGcThroughput());\\n Assert.assertEquals(\\\"Stopped time throughput not correct.\\\", 73, jvmRun.getStoppedTimeThroughput());\\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \\\" analysis not identified.\\\",\\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test109() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertFalse(boolean0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test093() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n Object[] objectArray0 = new Object[2];\\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test022() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.toMatrixString(\\\"getPreBuiltClassifiers\\\");\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test011() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.unclassified();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test122() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"Y#:')*#rI\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numInstances();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test074() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test18() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test021() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(\\\"\\\", false);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test024() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test084() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n public void test19() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBInformation();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test16() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.SFSchemeEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test048() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC(17);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"l*{e5SNh\\\");\\n boolean boolean0 = true;\\n discretize0.m_ClassIndex = 177;\\n discretize0.setUseEqualFrequency(true);\\n double[][] doubleArray0 = new double[5][9];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[0] = (double) 177;\\n doubleArray1[1] = (double) 177;\\n doubleArray1[2] = (double) 177;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[2];\\n doubleArray2[0] = (double) 177;\\n doubleArray2[1] = (double) 177;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[9];\\n doubleArray3[0] = (double) 177;\\n doubleArray3[1] = (double) 177;\\n doubleArray3[2] = (double) 177;\\n doubleArray3[3] = (double) 177;\\n doubleArray3[4] = (double) 177;\\n doubleArray3[5] = (double) 177;\\n doubleArray3[6] = (double) 177;\\n doubleArray3[7] = (double) 177;\\n doubleArray3[8] = (double) 177;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[8];\\n doubleArray4[0] = (double) 177;\\n doubleArray4[1] = (double) 177;\\n doubleArray4[2] = (double) 177;\\n doubleArray4[3] = (double) 177;\\n doubleArray4[4] = (double) 177;\\n doubleArray4[5] = (double) 177;\\n doubleArray4[6] = (double) 177;\\n doubleArray4[7] = (double) 177;\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[0];\\n doubleArray0[4] = doubleArray5;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.listOptions();\\n discretize0.setIgnoreClass(true);\\n String[] stringArray0 = new String[0];\\n Discretize.main(stringArray0);\\n discretize0.findNumBinsTipText();\\n discretize0.setInvertSelection(true);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(511);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 511\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test103() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n public void test30() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertFalse(boolean0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(2, doubleArray0.length);\\n }\",\n \"@Test\\n public void test21() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.errorRate();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test051() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test13() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n public void test01() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test36() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\\n Attribute attribute0 = new Attribute(\\\"-\\\", \\\"-\\\", protectedProperties1);\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"(,Z;Xp#\\\\\\\"dxq[\\\", arrayList0, 1587);\\n boolean boolean0 = discretize0.setInputFormat(instances0);\\n boolean boolean1 = discretize0.batchFinished();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertTrue(boolean1 == boolean0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(boolean1);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test070() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.getRevision();\\n assertEquals(\\\"8964\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.makeBinaryTipText();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"Make resulting attributes binary.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_13() {\\n CuteNetlibCase.doTest(\\\"KEN-13.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test22() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FastVector fastVector0 = evaluation0.predictions();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test041() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.fMeasure((-2765));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_UseEqualFrequency = true;\\n discretize0.getOptions();\\n assertTrue(discretize0.getMakeBinary());\\n \\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\\tInvert matching sense of column indexes.\\\");\\n discretize0.setOutputFormat();\\n discretize0.listOptions();\\n Discretize discretize1 = new Discretize();\\n discretize1.setIgnoreClass(false);\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\\tInvert matching sense of column indexes.\\\";\\n stringArray0[1] = \\\"\\\";\\n Discretize.main(stringArray0);\\n String string0 = discretize1.findNumBinsTipText();\\n assertEquals(\\\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\\\", string0);\\n \\n discretize1.setInvertSelection(false);\\n discretize0.getBinRangesString(511);\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n \\n discretize1.getFindNumBins();\\n assertEquals(10, discretize1.getBins());\\n }\",\n \"public void testLiangFigure6() {\\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\\n\\n for (int i = 0; i < ntimes - 1; i++) {\\n cases[i][0] = a[i];\\n cases[i][1] = b[i];\\n cases[i][2] = c[i];\\n cases[i + 1][3] = ap[i];\\n cases[i + 1][4] = bp[i];\\n cases[i + 1][5] = cp[i];\\n }\\n cases[8][0] = 0;\\n cases[8][1] = 0;\\n cases[8][2] = 0;\\n cases[0][3] = 0;\\n cases[0][4] = 0;\\n cases[0][5] = 0;\\n\\n RevealEvaluator re = new RevealEvaluator(cases);\\n\\n double rea = re.entropy(a);\\n assertEquals(1.0, rea, TOLERANCE);\\n System.out.println(\\\"H(a) = \\\" + rea); //Should be 1.0\\n\\n double reb = re.entropy(b);\\n assertEquals(1.0, reb, TOLERANCE);\\n System.out.println(\\\"H(b) = \\\" + reb); //Should be 1.0\\n\\n double rec = re.entropy(c);\\n assertEquals(1.0, rec, TOLERANCE);\\n System.out.println(\\\"H(c) = \\\" + rec); //Should be 1.0\\n\\n double reab = re.jointEntropy(a, b);\\n assertEquals(2.0, reab, TOLERANCE);\\n System.out.println(\\\"H(a,b) = \\\" + reab); //Should be 2.0\\n\\n double reap = re.entropy(ap);\\n assertEquals(1.0, reap, TOLERANCE);\\n System.out.println(\\\"H(ap) = \\\" + reap); //Should be 1.0\\n\\n double rebp = re.entropy(bp);\\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\\n System.out.println(\\\"H(bp) = \\\" + rebp); //Should be 0.8112781244591328\\n\\n double recp = re.entropy(cp);\\n assertEquals(1.0, recp, TOLERANCE);\\n System.out.println(\\\"H(cp) = \\\" + recp); //Should be 1.0\\n\\n double reapa = re.jointEntropy(ap, a);\\n assertEquals(2.0, reapa, TOLERANCE);\\n System.out.println(\\\"H(ap, a) = \\\" + reapa); //Should be 2.0\\n\\n double rebpb = re.jointEntropy(bp, b);\\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\\n System.out.println(\\n \\\"H(bp, b) = \\\" + rebpb); //Should be 1.8112781244591327\\n\\n double recpb = re.jointEntropy(cp, b);\\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\\n System.out.println(\\n \\\"H(cp, b) = \\\" + recpb); //Should be 1.8112781244591327\\n\\n int[][] ab = new int[2][8];\\n for (int i = 0; i < 8; i++) {\\n ab[0][i] = a[i];\\n ab[1][i] = b[i];\\n }\\n\\n double rebpab = re.jointEntropy(bp, ab);\\n assertEquals(2.5, rebpab, TOLERANCE);\\n System.out.println(\\\"H(bp, a, b) = \\\" + rebpab); //Should be 2.5\\n\\n double recpab = re.jointEntropy(cp, ab);\\n assertEquals(2.5, recpab, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b) = \\\" + recpab); //Should be 2.5\\n\\n int[][] abc = new int[3][8];\\n for (int i = 0; i < 8; i++) {\\n abc[0][i] = a[i];\\n abc[1][i] = b[i];\\n abc[2][i] = c[i];\\n }\\n\\n double recpabc = re.jointEntropy(cp, abc);\\n assertEquals(3.0, recpabc, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b, c) = \\\" + recpabc); //Should be 3.0\\n\\n //Setup array cases and test mutualInformation\\n int[] p = new int[1];\\n p[0] = 0;\\n\\n double rembpa = re.mutualInformation(4, p, 1);\\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\\n System.out.println(\\n \\\"M(Bp, A) = \\\" + rembpa); //Should be 0.31127812445913294\\n\\n int[] pp = new int[2];\\n pp[0] = 0;\\n pp[1] = 1;\\n\\n double rmcpab = re.mutualInformation(5, pp, 1);\\n assertEquals(0.5, rmcpab, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B]) = \\\" + rmcpab); //Should be 0.5\\n\\n int[] ppp = new int[3];\\n ppp[0] = 0;\\n ppp[1] = 1;\\n ppp[2] = 2;\\n\\n double rmcpabc = re.mutualInformation(5, ppp, 1);\\n assertEquals(1.0, rmcpabc, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B,C]) = \\\" + rmcpabc); //Should be 1.0\\n\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n byte[] byteArray0 = new byte[3];\\n byteArray0[0] = (byte)108;\\n byteArray0[1] = (byte)27;\\n byteArray0[2] = (byte)14;\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n discretize0.setBins((-830));\\n discretize0.getOptions();\\n assertEquals((-830), discretize0.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test111() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.relativeAbsoluteError();\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test088() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBRelativeInformation();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\\n assertNotNull(doubleArray0);\\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getCutPoints((-2276));\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"@Test\\n public void run () {\\n\\t \\n\\t System.out.println(\\\"---------->\\\");\\n\\t //System.out.println(md5list.getResult());\\n\\t //System.out.println(hashsearch.getResult());\\n\\t \\n\\t \\n\\t \\n\\t // System.out.println(samples.Testing());\\n\\t //System.out.println(\\\"getserult: \\\"+samples.getResult());\\n\\t \\n }\",\n \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n doubleArray2[5] = (-236.4995664359);\\n doubleArray2[7] = 1421.4058829;\\n doubleArray0[3] = doubleArray2;\\n double[] doubleArray3 = new double[3];\\n doubleArray3[0] = 0.0;\\n doubleArray3[1] = (-236.4995664359);\\n doubleArray0[4] = doubleArray3;\\n double[] doubleArray4 = new double[21];\\n doubleArray4[0] = 1421.4058829;\\n doubleArray3[2] = (-236.4995664359);\\n doubleArray4[4] = 1.7976931348623157E308;\\n doubleArray0[7] = doubleArray4;\\n discretize0.m_NumBins = 162;\\n doubleArray0[1] = doubleArray4;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.getBinRangesString(1);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_11() {\\n CuteNetlibCase.doTest(\\\"KEN-11.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void testDAM30601001() {\\n testDAM30102001();\\n }\",\n \"@Test(timeout = 4000)\\n public void test006() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.weightedAreaUnderPRC();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test18() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"%\\\");\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n discretize0.findNumBinsTipText();\\n double[][] doubleArray0 = new double[0][7];\\n discretize0.m_CutPoints = doubleArray0;\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\\n discretize0.setInvertSelection(false);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void test25FV47() {\\n CuteNetlibCase.doTest(\\\"25FV47.SIF\\\", \\\"5501.845888286646\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test049() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC((-1));\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test040() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.falseNegativeRate((-2));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getBinRangesString(2607);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testD2Q06C() {\\n CuteNetlibCase.doTest(\\\"D2Q06C.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test55() throws Throwable {\\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\\n StringKernel stringKernel0 = new StringKernel();\\n Capabilities capabilities0 = stringKernel0.getCapabilities();\\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n Instances instances0 = testInstances0.generate();\\n naiveBayesMultinomialText0.buildClassifier(instances0);\\n String string0 = naiveBayesMultinomialText0.toString();\\n assertEquals(\\\"The independent probability of a class\\\\n--------------------------------------\\\\nclass1\\\\t6.0\\\\nclass2\\\\t6.0\\\\nclass3\\\\t6.0\\\\nclass4\\\\t6.0\\\\n\\\\nThe probability of a word given the class\\\\n-----------------------------------------\\\\n\\\\tclass1\\\\tclass2\\\\tclass3\\\\tclass4\\\\t\\\\nover\\\\t7.38905609893065\\\\t7.38905609893065\\\\t2.718281828459045\\\\t2.718281828459045\\\\t\\\\nthe\\\\t2.718281828459045\\\\t7.38905609893065\\\\t7.38905609893065\\\\t2.718281828459045\\\\t\\\\nThe\\\\t7.38905609893065\\\\t7.38905609893065\\\\t2.718281828459045\\\\t2.718281828459045\\\\t\\\\nquick\\\\t7.38905609893065\\\\t7.38905609893065\\\\t7.38905609893065\\\\t2.718281828459045\\\\t\\\\nlazy\\\\t2.718281828459045\\\\t2.718281828459045\\\\t7.38905609893065\\\\t7.38905609893065\\\\t\\\\njumps\\\\t7.38905609893065\\\\t2.718281828459045\\\\t2.718281828459045\\\\t7.38905609893065\\\\t\\\\nbrown\\\\t2.718281828459045\\\\t7.38905609893065\\\\t7.38905609893065\\\\t7.38905609893065\\\\t\\\\ndog\\\\t7.38905609893065\\\\t2.718281828459045\\\\t2.718281828459045\\\\t7.38905609893065\\\\t\\\\nfox\\\\t2.718281828459045\\\\t2.718281828459045\\\\t7.38905609893065\\\\t7.38905609893065\\\\t\\\\n\\\", string0);\\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testMODSZK1() {\\n CuteNetlibCase.doTest(\\\"MODSZK1.SIF\\\", \\\"320.6197293824883\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC105() {\\n CuteNetlibCase.doTest(\\\"SC105.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7259497","0.7178113","0.6940888","0.6925471","0.6851073","0.6847287","0.684168","0.6839577","0.68378425","0.6835731","0.68225235","0.6819431","0.67866343","0.67577595","0.6749954","0.6720561","0.67181545","0.6700384","0.669689","0.66807526","0.66755","0.6656946","0.6652779","0.6638577","0.6606192","0.6605205","0.65730697","0.6570518","0.6518135","0.65087837","0.6506154","0.64960974","0.64801383","0.64554185","0.6447358","0.6446921","0.64122784","0.6397301","0.6369959","0.6364981","0.63546336","0.6351938","0.634494","0.6341358","0.63382936","0.6337407","0.6337299","0.6332744","0.63245946","0.6320508","0.63204366","0.6306851","0.6303973","0.6291623","0.629031","0.6282345","0.62724644","0.62665915","0.6254422","0.6249534","0.6233359","0.6230332","0.6230239","0.62298346","0.6195226","0.6182898","0.61788654","0.6177831","0.6170278","0.6155779","0.6154659","0.6146518","0.6132692","0.6112937","0.6096776","0.6093604","0.6089573","0.6088411","0.6077728","0.60726017","0.6069621","0.60690403","0.6066972","0.60651577","0.604973","0.60495454","0.604555","0.60365754","0.6030049","0.60256356","0.60245204","0.60207295","0.6018214","0.600424","0.600034","0.59998226","0.5997043","0.5984605","0.5982008","0.5967831","0.5967003"],"string":"[\n \"0.7259497\",\n \"0.7178113\",\n \"0.6940888\",\n \"0.6925471\",\n \"0.6851073\",\n \"0.6847287\",\n \"0.684168\",\n \"0.6839577\",\n \"0.68378425\",\n \"0.6835731\",\n \"0.68225235\",\n \"0.6819431\",\n \"0.67866343\",\n \"0.67577595\",\n \"0.6749954\",\n \"0.6720561\",\n \"0.67181545\",\n \"0.6700384\",\n \"0.669689\",\n \"0.66807526\",\n \"0.66755\",\n \"0.6656946\",\n \"0.6652779\",\n \"0.6638577\",\n \"0.6606192\",\n \"0.6605205\",\n \"0.65730697\",\n \"0.6570518\",\n \"0.6518135\",\n \"0.65087837\",\n \"0.6506154\",\n \"0.64960974\",\n \"0.64801383\",\n \"0.64554185\",\n \"0.6447358\",\n \"0.6446921\",\n \"0.64122784\",\n \"0.6397301\",\n \"0.6369959\",\n \"0.6364981\",\n \"0.63546336\",\n \"0.6351938\",\n \"0.634494\",\n \"0.6341358\",\n \"0.63382936\",\n \"0.6337407\",\n \"0.6337299\",\n \"0.6332744\",\n \"0.63245946\",\n \"0.6320508\",\n \"0.63204366\",\n \"0.6306851\",\n \"0.6303973\",\n \"0.6291623\",\n \"0.629031\",\n \"0.6282345\",\n \"0.62724644\",\n \"0.62665915\",\n \"0.6254422\",\n \"0.6249534\",\n \"0.6233359\",\n \"0.6230332\",\n \"0.6230239\",\n \"0.62298346\",\n \"0.6195226\",\n \"0.6182898\",\n \"0.61788654\",\n \"0.6177831\",\n \"0.6170278\",\n \"0.6155779\",\n \"0.6154659\",\n \"0.6146518\",\n \"0.6132692\",\n \"0.6112937\",\n \"0.6096776\",\n \"0.6093604\",\n \"0.6089573\",\n \"0.6088411\",\n \"0.6077728\",\n \"0.60726017\",\n \"0.6069621\",\n \"0.60690403\",\n \"0.6066972\",\n \"0.60651577\",\n \"0.604973\",\n \"0.60495454\",\n \"0.604555\",\n \"0.60365754\",\n \"0.6030049\",\n \"0.60256356\",\n \"0.60245204\",\n \"0.60207295\",\n \"0.6018214\",\n \"0.600424\",\n \"0.600034\",\n \"0.59998226\",\n \"0.5997043\",\n \"0.5984605\",\n \"0.5982008\",\n \"0.5967831\",\n \"0.5967003\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119393,"cells":{"query":{"kind":"string","value":"Test case number: 140 /Coverage entropy=0.7486157063094812"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test140() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"Z&9#+FDLX&o2GJ-\");\n Token token0 = xPathLexer0.dollar();\n assertEquals(\"Z\", token0.getTokenText());\n assertEquals(26, token0.getTokenType());\n \n Token token1 = xPathLexer0.not();\n assertEquals(\"&\", token1.getTokenText());\n assertEquals(23, token1.getTokenType());\n \n Token token2 = xPathLexer0.nextToken();\n assertEquals(\"9\", token2.getTokenText());\n assertEquals(30, token2.getTokenType());\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test110() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test050() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderPRC((-1));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test40() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\n }","@Test(timeout = 4000)\n public void test025() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test108() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.avgCost();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test120() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctIncorrect();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test117() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test114() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertEquals(2, doubleArray0.length);\n assertNotNull(doubleArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test118() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test113() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(false);\n assertEquals(\"=== Summary ===\\n\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n }","@Test(timeout = 4000)\n public void test007() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setNumericPriorsFromBuffer();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test119() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString((String) null, true);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(\"null\\nTotal Number of Instances 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test083() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test17() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test086() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test085() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test031() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives((-1436));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Override\n protected long getTestSolution() {\n return 100024;\n }","@Test\n public void test35() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test013() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test121() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toClassDetailsString();\n assertEquals(\"=== Detailed Accuracy By Class ===\\n\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test106() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setDiscardPredictions(false);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n }","@Test\n public void test36() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.incorrect();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test068() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(360, (-336.251));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }","@Test\n public void test16() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.SFSchemeEntropy();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","public void testSummaryStatsPartialLog() {\n\n // TODO: Create File in platform independent way.\n File testFile = new File(\"src/test/data/dataset98.txt\");\n GcManager gcManager = new GcManager();\n File preprocessedFile = gcManager.preprocess(testFile, null);\n gcManager.store(preprocessedFile, false);\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\n Assert.assertEquals(\"GC event type count not correct.\", 2, jvmRun.getEventTypes().size());\n Assert.assertEquals(\"GC blocking event count not correct.\", 2, jvmRun.getBlockingEventCount());\n Assert.assertEquals(\"GC pause total not correct.\", 61, jvmRun.getTotalGcPause());\n Assert.assertEquals(\"GC first timestamp not correct.\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last timestamp not correct.\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last duration not correct.\", 41, jvmRun.getLastGcEvent().getDuration());\n Assert.assertEquals(\"Stopped Time event count not correct.\", 6, jvmRun.getStoppedTimeEventCount());\n Assert.assertEquals(\"Stopped time total not correct.\", 1064, jvmRun.getTotalStoppedTime());\n Assert.assertEquals(\"Stopped first timestamp not correct.\", 1000964,\n jvmRun.getFirstStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last timestamp not correct.\", 1003884,\n jvmRun.getLastStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last duration not correct.\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\n Assert.assertEquals(\"JVM first event timestamp not correct.\", 1000964, jvmRun.getFirstEvent().getTimestamp());\n Assert.assertEquals(\"JVM last event timestamp not correct.\", 1003884, jvmRun.getLastEvent().getTimestamp());\n Assert.assertEquals(\"JVM run duration not correct.\", 3920, jvmRun.getJvmRunDuration());\n Assert.assertEquals(\"GC throughput not correct.\", 98, jvmRun.getGcThroughput());\n Assert.assertEquals(\"Stopped time throughput not correct.\", 73, jvmRun.getStoppedTimeThroughput());\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \" analysis not identified.\",\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\n }","@Test(timeout = 4000)\n public void test109() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test122() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"Y#:')*#rI\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numInstances();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test087() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test024() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test084() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test048() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC(17);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }","@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l*{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test022() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.toMatrixString(\"getPreBuiltClassifiers\");\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test011() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unclassified();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", NumberContext.of(7, 4));\n }","@Test\n public void test30() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertFalse(boolean0);\n }","@Test(timeout = 4000)\n public void test021() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(\"\", false);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test\n public void test13() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test070() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test082() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\" -1 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test19() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBInformation();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","public void testLiangFigure6() {\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\n\n for (int i = 0; i < ntimes - 1; i++) {\n cases[i][0] = a[i];\n cases[i][1] = b[i];\n cases[i][2] = c[i];\n cases[i + 1][3] = ap[i];\n cases[i + 1][4] = bp[i];\n cases[i + 1][5] = cp[i];\n }\n cases[8][0] = 0;\n cases[8][1] = 0;\n cases[8][2] = 0;\n cases[0][3] = 0;\n cases[0][4] = 0;\n cases[0][5] = 0;\n\n RevealEvaluator re = new RevealEvaluator(cases);\n\n double rea = re.entropy(a);\n assertEquals(1.0, rea, TOLERANCE);\n System.out.println(\"H(a) = \" + rea); //Should be 1.0\n\n double reb = re.entropy(b);\n assertEquals(1.0, reb, TOLERANCE);\n System.out.println(\"H(b) = \" + reb); //Should be 1.0\n\n double rec = re.entropy(c);\n assertEquals(1.0, rec, TOLERANCE);\n System.out.println(\"H(c) = \" + rec); //Should be 1.0\n\n double reab = re.jointEntropy(a, b);\n assertEquals(2.0, reab, TOLERANCE);\n System.out.println(\"H(a,b) = \" + reab); //Should be 2.0\n\n double reap = re.entropy(ap);\n assertEquals(1.0, reap, TOLERANCE);\n System.out.println(\"H(ap) = \" + reap); //Should be 1.0\n\n double rebp = re.entropy(bp);\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\n System.out.println(\"H(bp) = \" + rebp); //Should be 0.8112781244591328\n\n double recp = re.entropy(cp);\n assertEquals(1.0, recp, TOLERANCE);\n System.out.println(\"H(cp) = \" + recp); //Should be 1.0\n\n double reapa = re.jointEntropy(ap, a);\n assertEquals(2.0, reapa, TOLERANCE);\n System.out.println(\"H(ap, a) = \" + reapa); //Should be 2.0\n\n double rebpb = re.jointEntropy(bp, b);\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\n System.out.println(\n \"H(bp, b) = \" + rebpb); //Should be 1.8112781244591327\n\n double recpb = re.jointEntropy(cp, b);\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\n System.out.println(\n \"H(cp, b) = \" + recpb); //Should be 1.8112781244591327\n\n int[][] ab = new int[2][8];\n for (int i = 0; i < 8; i++) {\n ab[0][i] = a[i];\n ab[1][i] = b[i];\n }\n\n double rebpab = re.jointEntropy(bp, ab);\n assertEquals(2.5, rebpab, TOLERANCE);\n System.out.println(\"H(bp, a, b) = \" + rebpab); //Should be 2.5\n\n double recpab = re.jointEntropy(cp, ab);\n assertEquals(2.5, recpab, TOLERANCE);\n System.out.println(\"H(cp, a, b) = \" + recpab); //Should be 2.5\n\n int[][] abc = new int[3][8];\n for (int i = 0; i < 8; i++) {\n abc[0][i] = a[i];\n abc[1][i] = b[i];\n abc[2][i] = c[i];\n }\n\n double recpabc = re.jointEntropy(cp, abc);\n assertEquals(3.0, recpabc, TOLERANCE);\n System.out.println(\"H(cp, a, b, c) = \" + recpabc); //Should be 3.0\n\n //Setup array cases and test mutualInformation\n int[] p = new int[1];\n p[0] = 0;\n\n double rembpa = re.mutualInformation(4, p, 1);\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\n System.out.println(\n \"M(Bp, A) = \" + rembpa); //Should be 0.31127812445913294\n\n int[] pp = new int[2];\n pp[0] = 0;\n pp[1] = 1;\n\n double rmcpab = re.mutualInformation(5, pp, 1);\n assertEquals(0.5, rmcpab, TOLERANCE);\n System.out.println(\"M(Cp, [A,B]) = \" + rmcpab); //Should be 0.5\n\n int[] ppp = new int[3];\n ppp[0] = 0;\n ppp[1] = 1;\n ppp[2] = 2;\n\n double rmcpabc = re.mutualInformation(5, ppp, 1);\n assertEquals(1.0, rmcpabc, TOLERANCE);\n System.out.println(\"M(Cp, [A,B,C]) = \" + rmcpabc); //Should be 1.0\n\n }","@Test\n @Tag(\"bm1000\")\n public void testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.makeBinaryTipText();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"Make resulting attributes binary.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test36() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\n Attribute attribute0 = new Attribute(\"-\", \"-\", protectedProperties1);\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"(,Z;Xp#\\\"dxq[\", arrayList0, 1587);\n boolean boolean0 = discretize0.setInputFormat(instances0);\n boolean boolean1 = discretize0.batchFinished();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertTrue(boolean1 == boolean0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(boolean1);\n }","@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }","@Test\n @Tag(\"slow\")\n public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test051() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test01() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test12() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.getRevision();\n assertEquals(\"8964\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize(\"\\tInvert matching sense of column indexes.\");\n discretize0.setOutputFormat();\n discretize0.listOptions();\n Discretize discretize1 = new Discretize();\n discretize1.setIgnoreClass(false);\n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\\tInvert matching sense of column indexes.\";\n stringArray0[1] = \"\";\n Discretize.main(stringArray0);\n String string0 = discretize1.findNumBinsTipText();\n assertEquals(\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\", string0);\n \n discretize1.setInvertSelection(false);\n discretize0.getBinRangesString(511);\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n \n discretize1.getFindNumBins();\n assertEquals(10, discretize1.getBins());\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getBinRangesString(2607);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize(\"'B1of2'\");\n int[] intArray0 = new int[8];\n intArray0[0] = 18;\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"'B1of2'\");\n discretize0.listOptions();\n String[] stringArray0 = discretize0.getOptions();\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(6, stringArray0.length);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n discretize0.m_UseEqualFrequency = true;\n discretize0.getOptions();\n assertTrue(discretize0.getMakeBinary());\n \n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test(timeout = 4000)\n public void test19() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getCutPoints((-2276));\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","@Test(timeout = 4000)\n public void test24() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n byte[] byteArray0 = new byte[3];\n byteArray0[0] = (byte)108;\n byteArray0[1] = (byte)27;\n byteArray0[2] = (byte)14;\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\n discretize0.setBins((-830));\n discretize0.getOptions();\n assertEquals((-830), discretize0.getBins());\n }","@Test(timeout = 4000)\n public void test049() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC((-1));\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test036() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\n assertNotNull(doubleArray0);\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_13() {\n CuteNetlibCase.doTest(\"KEN-13.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSC205() {\n CuteNetlibCase.doTest(\"SC205.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test006() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedAreaUnderPRC();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test28() throws Throwable {\n Discretize discretize0 = new Discretize();\n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n doubleArray2[5] = (-236.4995664359);\n doubleArray2[7] = 1421.4058829;\n doubleArray0[3] = doubleArray2;\n double[] doubleArray3 = new double[3];\n doubleArray3[0] = 0.0;\n doubleArray3[1] = (-236.4995664359);\n doubleArray0[4] = doubleArray3;\n double[] doubleArray4 = new double[21];\n doubleArray4[0] = 1421.4058829;\n doubleArray3[2] = (-236.4995664359);\n doubleArray4[4] = 1.7976931348623157E308;\n doubleArray0[7] = doubleArray4;\n discretize0.m_NumBins = 162;\n doubleArray0[1] = doubleArray4;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.getBinRangesString(1);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test(timeout = 4000)\n public void test041() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.fMeasure((-2765));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test040() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.falseNegativeRate((-2));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testSCRS8() {\n CuteNetlibCase.doTest(\"SCRS8.SIF\", \"960.0206152764557\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test020() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(\".arff\", true);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(\".arff\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void run () {\n\t \n\t System.out.println(\"---------->\");\n\t //System.out.println(md5list.getResult());\n\t //System.out.println(hashsearch.getResult());\n\t \n\t \n\t \n\t // System.out.println(samples.Testing());\n\t //System.out.println(\"getserult: \"+samples.getResult());\n\t \n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n int[] intArray0 = new int[6];\n intArray0[0] = (-388);\n intArray0[1] = (-2121610348);\n intArray0[2] = 11;\n intArray0[3] = (-1);\n intArray0[4] = 1062;\n intArray0[5] = 70;\n discretize0.setAttributeIndicesArray(intArray0);\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\n discretize0.getOptions();\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test(timeout = 4000)\n public void test18() throws Throwable {\n Discretize discretize0 = new Discretize(\"%\");\n FileSystemHandling.createFolder((EvoSuiteFile) null);\n discretize0.findNumBinsTipText();\n double[][] doubleArray0 = new double[0][7];\n discretize0.m_CutPoints = doubleArray0;\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\n discretize0.setInvertSelection(false);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test(timeout = 4000)\n public void test55() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n StringKernel stringKernel0 = new StringKernel();\n Capabilities capabilities0 = stringKernel0.getCapabilities();\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n Instances instances0 = testInstances0.generate();\n naiveBayesMultinomialText0.buildClassifier(instances0);\n String string0 = naiveBayesMultinomialText0.toString();\n assertEquals(\"The independent probability of a class\\n--------------------------------------\\nclass1\\t6.0\\nclass2\\t6.0\\nclass3\\t6.0\\nclass4\\t6.0\\n\\nThe probability of a word given the class\\n-----------------------------------------\\n\\tclass1\\tclass2\\tclass3\\tclass4\\t\\nover\\t7.38905609893065\\t7.38905609893065\\t2.718281828459045\\t2.718281828459045\\t\\nthe\\t2.718281828459045\\t7.38905609893065\\t7.38905609893065\\t2.718281828459045\\t\\nThe\\t7.38905609893065\\t7.38905609893065\\t2.718281828459045\\t2.718281828459045\\t\\nquick\\t7.38905609893065\\t7.38905609893065\\t7.38905609893065\\t2.718281828459045\\t\\nlazy\\t2.718281828459045\\t2.718281828459045\\t7.38905609893065\\t7.38905609893065\\t\\njumps\\t7.38905609893065\\t2.718281828459045\\t2.718281828459045\\t7.38905609893065\\t\\nbrown\\t2.718281828459045\\t7.38905609893065\\t7.38905609893065\\t7.38905609893065\\t\\ndog\\t7.38905609893065\\t2.718281828459045\\t2.718281828459045\\t7.38905609893065\\t\\nfox\\t2.718281828459045\\t2.718281828459045\\t7.38905609893065\\t7.38905609893065\\t\\n\", string0);\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSC105() {\n CuteNetlibCase.doTest(\"SC105.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test111() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.relativeAbsoluteError();\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n }","@Test\n @Tag(\"unstable\")\n @Tag(\"bm1000\")\n public void testTUFF() {\n CuteNetlibCase.doTest(\"TUFF.SIF\", \"0.29214776509361284\", \"0.8949901867574317\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test35() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n Attribute attribute0 = new Attribute(\"invalid CVS revision - not dots!\");\n attribute0.setWeight(0.0);\n Attribute.typeToString(attribute0);\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"UR<dj;O\", arrayList0, 3);\n Instances instances1 = new Instances(instances0);\n boolean boolean0 = discretize0.setInputFormat(instances1);\n assertFalse(boolean0);\n \n String[] stringArray0 = new String[3];\n stringArray0[0] = \".bsi\";\n stringArray0[1] = \"invalid CVS revision - not dots!\";\n stringArray0[2] = \"@end\";\n discretize0.setOptions(stringArray0);\n discretize0.setOptions(stringArray0);\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n }","@Test(timeout = 4000)\n public void test09() throws Throwable {\n Discretize discretize0 = new Discretize(\"*W5D<hSCW|8@I\");\n int[] intArray0 = new int[9];\n intArray0[0] = (-1405);\n intArray0[1] = (-2938);\n intArray0[2] = (-1954);\n intArray0[3] = 9;\n intArray0[4] = 66;\n intArray0[5] = 573;\n intArray0[6] = 0;\n intArray0[7] = (-71);\n intArray0[8] = 99;\n discretize0.setAttributeIndicesArray(intArray0);\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }"],"string":"[\n \"@Test(timeout = 4000)\\n public void test126() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.totalCost();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test112() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getHeader();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test110() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderPRC((-1));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test40() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test025() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test29() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.pctCorrect();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test108() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.avgCost();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test120() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test117() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test114() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertEquals(2, doubleArray0.length);\\n assertNotNull(doubleArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test118() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n \\n evaluation0.useNoPriors();\\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test007() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setNumericPriorsFromBuffer();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test119() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test012() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.priorEntropy();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test083() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test116() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test17() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test086() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test085() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test031() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives((-1436));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\n }\",\n \"@Test\\n public void test35() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(Double.NaN, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test013() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test121() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toClassDetailsString();\\n assertEquals(\\\"=== Detailed Accuracy By Class ===\\\\n\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test106() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setDiscardPredictions(false);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n }\",\n \"@Test\\n public void test36() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.incorrect();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(360, (-336.251));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test33() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test\\n public void test16() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.SFSchemeEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"public void testSummaryStatsPartialLog() {\\n\\n // TODO: Create File in platform independent way.\\n File testFile = new File(\\\"src/test/data/dataset98.txt\\\");\\n GcManager gcManager = new GcManager();\\n File preprocessedFile = gcManager.preprocess(testFile, null);\\n gcManager.store(preprocessedFile, false);\\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\\n Assert.assertEquals(\\\"GC event type count not correct.\\\", 2, jvmRun.getEventTypes().size());\\n Assert.assertEquals(\\\"GC blocking event count not correct.\\\", 2, jvmRun.getBlockingEventCount());\\n Assert.assertEquals(\\\"GC pause total not correct.\\\", 61, jvmRun.getTotalGcPause());\\n Assert.assertEquals(\\\"GC first timestamp not correct.\\\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last timestamp not correct.\\\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last duration not correct.\\\", 41, jvmRun.getLastGcEvent().getDuration());\\n Assert.assertEquals(\\\"Stopped Time event count not correct.\\\", 6, jvmRun.getStoppedTimeEventCount());\\n Assert.assertEquals(\\\"Stopped time total not correct.\\\", 1064, jvmRun.getTotalStoppedTime());\\n Assert.assertEquals(\\\"Stopped first timestamp not correct.\\\", 1000964,\\n jvmRun.getFirstStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last timestamp not correct.\\\", 1003884,\\n jvmRun.getLastStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last duration not correct.\\\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\\n Assert.assertEquals(\\\"JVM first event timestamp not correct.\\\", 1000964, jvmRun.getFirstEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM last event timestamp not correct.\\\", 1003884, jvmRun.getLastEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM run duration not correct.\\\", 3920, jvmRun.getJvmRunDuration());\\n Assert.assertEquals(\\\"GC throughput not correct.\\\", 98, jvmRun.getGcThroughput());\\n Assert.assertEquals(\\\"Stopped time throughput not correct.\\\", 73, jvmRun.getStoppedTimeThroughput());\\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \\\" analysis not identified.\\\",\\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\\n }\",\n \"@Test(timeout = 4000)\\n public void test109() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertFalse(boolean0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test122() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"Y#:')*#rI\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numInstances();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test024() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test093() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n Object[] objectArray0 = new Object[2];\\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test084() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test048() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC(17);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test074() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(2, doubleArray0.length);\\n }\",\n \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"l*{e5SNh\\\");\\n boolean boolean0 = true;\\n discretize0.m_ClassIndex = 177;\\n discretize0.setUseEqualFrequency(true);\\n double[][] doubleArray0 = new double[5][9];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[0] = (double) 177;\\n doubleArray1[1] = (double) 177;\\n doubleArray1[2] = (double) 177;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[2];\\n doubleArray2[0] = (double) 177;\\n doubleArray2[1] = (double) 177;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[9];\\n doubleArray3[0] = (double) 177;\\n doubleArray3[1] = (double) 177;\\n doubleArray3[2] = (double) 177;\\n doubleArray3[3] = (double) 177;\\n doubleArray3[4] = (double) 177;\\n doubleArray3[5] = (double) 177;\\n doubleArray3[6] = (double) 177;\\n doubleArray3[7] = (double) 177;\\n doubleArray3[8] = (double) 177;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[8];\\n doubleArray4[0] = (double) 177;\\n doubleArray4[1] = (double) 177;\\n doubleArray4[2] = (double) 177;\\n doubleArray4[3] = (double) 177;\\n doubleArray4[4] = (double) 177;\\n doubleArray4[5] = (double) 177;\\n doubleArray4[6] = (double) 177;\\n doubleArray4[7] = (double) 177;\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[0];\\n doubleArray0[4] = doubleArray5;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.listOptions();\\n discretize0.setIgnoreClass(true);\\n String[] stringArray0 = new String[0];\\n Discretize.main(stringArray0);\\n discretize0.findNumBinsTipText();\\n discretize0.setInvertSelection(true);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(511);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 511\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test026() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.recall((-9));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test022() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.toMatrixString(\\\"getPreBuiltClassifiers\\\");\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test011() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.unclassified();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test30() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertFalse(boolean0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test021() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(\\\"\\\", false);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test13() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n public void test18() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test070() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test103() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test19() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBInformation();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"public void testLiangFigure6() {\\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\\n\\n for (int i = 0; i < ntimes - 1; i++) {\\n cases[i][0] = a[i];\\n cases[i][1] = b[i];\\n cases[i][2] = c[i];\\n cases[i + 1][3] = ap[i];\\n cases[i + 1][4] = bp[i];\\n cases[i + 1][5] = cp[i];\\n }\\n cases[8][0] = 0;\\n cases[8][1] = 0;\\n cases[8][2] = 0;\\n cases[0][3] = 0;\\n cases[0][4] = 0;\\n cases[0][5] = 0;\\n\\n RevealEvaluator re = new RevealEvaluator(cases);\\n\\n double rea = re.entropy(a);\\n assertEquals(1.0, rea, TOLERANCE);\\n System.out.println(\\\"H(a) = \\\" + rea); //Should be 1.0\\n\\n double reb = re.entropy(b);\\n assertEquals(1.0, reb, TOLERANCE);\\n System.out.println(\\\"H(b) = \\\" + reb); //Should be 1.0\\n\\n double rec = re.entropy(c);\\n assertEquals(1.0, rec, TOLERANCE);\\n System.out.println(\\\"H(c) = \\\" + rec); //Should be 1.0\\n\\n double reab = re.jointEntropy(a, b);\\n assertEquals(2.0, reab, TOLERANCE);\\n System.out.println(\\\"H(a,b) = \\\" + reab); //Should be 2.0\\n\\n double reap = re.entropy(ap);\\n assertEquals(1.0, reap, TOLERANCE);\\n System.out.println(\\\"H(ap) = \\\" + reap); //Should be 1.0\\n\\n double rebp = re.entropy(bp);\\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\\n System.out.println(\\\"H(bp) = \\\" + rebp); //Should be 0.8112781244591328\\n\\n double recp = re.entropy(cp);\\n assertEquals(1.0, recp, TOLERANCE);\\n System.out.println(\\\"H(cp) = \\\" + recp); //Should be 1.0\\n\\n double reapa = re.jointEntropy(ap, a);\\n assertEquals(2.0, reapa, TOLERANCE);\\n System.out.println(\\\"H(ap, a) = \\\" + reapa); //Should be 2.0\\n\\n double rebpb = re.jointEntropy(bp, b);\\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\\n System.out.println(\\n \\\"H(bp, b) = \\\" + rebpb); //Should be 1.8112781244591327\\n\\n double recpb = re.jointEntropy(cp, b);\\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\\n System.out.println(\\n \\\"H(cp, b) = \\\" + recpb); //Should be 1.8112781244591327\\n\\n int[][] ab = new int[2][8];\\n for (int i = 0; i < 8; i++) {\\n ab[0][i] = a[i];\\n ab[1][i] = b[i];\\n }\\n\\n double rebpab = re.jointEntropy(bp, ab);\\n assertEquals(2.5, rebpab, TOLERANCE);\\n System.out.println(\\\"H(bp, a, b) = \\\" + rebpab); //Should be 2.5\\n\\n double recpab = re.jointEntropy(cp, ab);\\n assertEquals(2.5, recpab, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b) = \\\" + recpab); //Should be 2.5\\n\\n int[][] abc = new int[3][8];\\n for (int i = 0; i < 8; i++) {\\n abc[0][i] = a[i];\\n abc[1][i] = b[i];\\n abc[2][i] = c[i];\\n }\\n\\n double recpabc = re.jointEntropy(cp, abc);\\n assertEquals(3.0, recpabc, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b, c) = \\\" + recpabc); //Should be 3.0\\n\\n //Setup array cases and test mutualInformation\\n int[] p = new int[1];\\n p[0] = 0;\\n\\n double rembpa = re.mutualInformation(4, p, 1);\\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\\n System.out.println(\\n \\\"M(Bp, A) = \\\" + rembpa); //Should be 0.31127812445913294\\n\\n int[] pp = new int[2];\\n pp[0] = 0;\\n pp[1] = 1;\\n\\n double rmcpab = re.mutualInformation(5, pp, 1);\\n assertEquals(0.5, rmcpab, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B]) = \\\" + rmcpab); //Should be 0.5\\n\\n int[] ppp = new int[3];\\n ppp[0] = 0;\\n ppp[1] = 1;\\n ppp[2] = 2;\\n\\n double rmcpabc = re.mutualInformation(5, ppp, 1);\\n assertEquals(1.0, rmcpabc, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B,C]) = \\\" + rmcpabc); //Should be 1.0\\n\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.makeBinaryTipText();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"Make resulting attributes binary.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test36() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\\n Attribute attribute0 = new Attribute(\\\"-\\\", \\\"-\\\", protectedProperties1);\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"(,Z;Xp#\\\\\\\"dxq[\\\", arrayList0, 1587);\\n boolean boolean0 = discretize0.setInputFormat(instances0);\\n boolean boolean1 = discretize0.batchFinished();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertTrue(boolean1 == boolean0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(boolean1);\\n }\",\n \"@Test\\n public void test21() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.errorRate();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test051() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test01() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test22() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FastVector fastVector0 = evaluation0.predictions();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.getRevision();\\n assertEquals(\\\"8964\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\\tInvert matching sense of column indexes.\\\");\\n discretize0.setOutputFormat();\\n discretize0.listOptions();\\n Discretize discretize1 = new Discretize();\\n discretize1.setIgnoreClass(false);\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\\tInvert matching sense of column indexes.\\\";\\n stringArray0[1] = \\\"\\\";\\n Discretize.main(stringArray0);\\n String string0 = discretize1.findNumBinsTipText();\\n assertEquals(\\\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\\\", string0);\\n \\n discretize1.setInvertSelection(false);\\n discretize0.getBinRangesString(511);\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n \\n discretize1.getFindNumBins();\\n assertEquals(10, discretize1.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getBinRangesString(2607);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"'B1of2'\\\");\\n int[] intArray0 = new int[8];\\n intArray0[0] = 18;\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"'B1of2'\\\");\\n discretize0.listOptions();\\n String[] stringArray0 = discretize0.getOptions();\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(6, stringArray0.length);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_UseEqualFrequency = true;\\n discretize0.getOptions();\\n assertTrue(discretize0.getMakeBinary());\\n \\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getCutPoints((-2276));\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n byte[] byteArray0 = new byte[3];\\n byteArray0[0] = (byte)108;\\n byteArray0[1] = (byte)27;\\n byteArray0[2] = (byte)14;\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n discretize0.setBins((-830));\\n discretize0.getOptions();\\n assertEquals((-830), discretize0.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test049() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC((-1));\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\\n assertNotNull(doubleArray0);\\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_13() {\\n CuteNetlibCase.doTest(\\\"KEN-13.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test006() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.weightedAreaUnderPRC();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n doubleArray2[5] = (-236.4995664359);\\n doubleArray2[7] = 1421.4058829;\\n doubleArray0[3] = doubleArray2;\\n double[] doubleArray3 = new double[3];\\n doubleArray3[0] = 0.0;\\n doubleArray3[1] = (-236.4995664359);\\n doubleArray0[4] = doubleArray3;\\n double[] doubleArray4 = new double[21];\\n doubleArray4[0] = 1421.4058829;\\n doubleArray3[2] = (-236.4995664359);\\n doubleArray4[4] = 1.7976931348623157E308;\\n doubleArray0[7] = doubleArray4;\\n discretize0.m_NumBins = 162;\\n doubleArray0[1] = doubleArray4;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.getBinRangesString(1);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test041() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.fMeasure((-2765));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test040() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.falseNegativeRate((-2));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test020() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(\\\".arff\\\", true);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(\\\".arff\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void run () {\\n\\t \\n\\t System.out.println(\\\"---------->\\\");\\n\\t //System.out.println(md5list.getResult());\\n\\t //System.out.println(hashsearch.getResult());\\n\\t \\n\\t \\n\\t \\n\\t // System.out.println(samples.Testing());\\n\\t //System.out.println(\\\"getserult: \\\"+samples.getResult());\\n\\t \\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n int[] intArray0 = new int[6];\\n intArray0[0] = (-388);\\n intArray0[1] = (-2121610348);\\n intArray0[2] = 11;\\n intArray0[3] = (-1);\\n intArray0[4] = 1062;\\n intArray0[5] = 70;\\n discretize0.setAttributeIndicesArray(intArray0);\\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\\n discretize0.getOptions();\\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test18() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"%\\\");\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n discretize0.findNumBinsTipText();\\n double[][] doubleArray0 = new double[0][7];\\n discretize0.m_CutPoints = doubleArray0;\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\\n discretize0.setInvertSelection(false);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test55() throws Throwable {\\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\\n StringKernel stringKernel0 = new StringKernel();\\n Capabilities capabilities0 = stringKernel0.getCapabilities();\\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n Instances instances0 = testInstances0.generate();\\n naiveBayesMultinomialText0.buildClassifier(instances0);\\n String string0 = naiveBayesMultinomialText0.toString();\\n assertEquals(\\\"The independent probability of a class\\\\n--------------------------------------\\\\nclass1\\\\t6.0\\\\nclass2\\\\t6.0\\\\nclass3\\\\t6.0\\\\nclass4\\\\t6.0\\\\n\\\\nThe probability of a word given the class\\\\n-----------------------------------------\\\\n\\\\tclass1\\\\tclass2\\\\tclass3\\\\tclass4\\\\t\\\\nover\\\\t7.38905609893065\\\\t7.38905609893065\\\\t2.718281828459045\\\\t2.718281828459045\\\\t\\\\nthe\\\\t2.718281828459045\\\\t7.38905609893065\\\\t7.38905609893065\\\\t2.718281828459045\\\\t\\\\nThe\\\\t7.38905609893065\\\\t7.38905609893065\\\\t2.718281828459045\\\\t2.718281828459045\\\\t\\\\nquick\\\\t7.38905609893065\\\\t7.38905609893065\\\\t7.38905609893065\\\\t2.718281828459045\\\\t\\\\nlazy\\\\t2.718281828459045\\\\t2.718281828459045\\\\t7.38905609893065\\\\t7.38905609893065\\\\t\\\\njumps\\\\t7.38905609893065\\\\t2.718281828459045\\\\t2.718281828459045\\\\t7.38905609893065\\\\t\\\\nbrown\\\\t2.718281828459045\\\\t7.38905609893065\\\\t7.38905609893065\\\\t7.38905609893065\\\\t\\\\ndog\\\\t7.38905609893065\\\\t2.718281828459045\\\\t2.718281828459045\\\\t7.38905609893065\\\\t\\\\nfox\\\\t2.718281828459045\\\\t2.718281828459045\\\\t7.38905609893065\\\\t7.38905609893065\\\\t\\\\n\\\", string0);\\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC105() {\\n CuteNetlibCase.doTest(\\\"SC105.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test111() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.relativeAbsoluteError();\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"unstable\\\")\\n @Tag(\\\"bm1000\\\")\\n public void testTUFF() {\\n CuteNetlibCase.doTest(\\\"TUFF.SIF\\\", \\\"0.29214776509361284\\\", \\\"0.8949901867574317\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test35() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n Attribute attribute0 = new Attribute(\\\"invalid CVS revision - not dots!\\\");\\n attribute0.setWeight(0.0);\\n Attribute.typeToString(attribute0);\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"UR<dj;O\\\", arrayList0, 3);\\n Instances instances1 = new Instances(instances0);\\n boolean boolean0 = discretize0.setInputFormat(instances1);\\n assertFalse(boolean0);\\n \\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\".bsi\\\";\\n stringArray0[1] = \\\"invalid CVS revision - not dots!\\\";\\n stringArray0[2] = \\\"@end\\\";\\n discretize0.setOptions(stringArray0);\\n discretize0.setOptions(stringArray0);\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test09() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"*W5D<hSCW|8@I\\\");\\n int[] intArray0 = new int[9];\\n intArray0[0] = (-1405);\\n intArray0[1] = (-2938);\\n intArray0[2] = (-1954);\\n intArray0[3] = 9;\\n intArray0[4] = 66;\\n intArray0[5] = 573;\\n intArray0[6] = 0;\\n intArray0[7] = (-71);\\n intArray0[8] = 99;\\n discretize0.setAttributeIndicesArray(intArray0);\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7363409","0.7265668","0.7026934","0.70062447","0.6974826","0.6951832","0.6935729","0.6866081","0.6860911","0.68512154","0.68427277","0.6821694","0.6818235","0.678525","0.6766841","0.6713527","0.6711622","0.6703566","0.669675","0.6693558","0.6681207","0.66362566","0.6631736","0.6618845","0.6615773","0.6607906","0.65587777","0.6553829","0.6549375","0.6497911","0.64650124","0.64609355","0.6457277","0.6455195","0.6451462","0.6415653","0.64118415","0.6404829","0.64047563","0.639085","0.63898176","0.63887274","0.6383168","0.63655907","0.63650686","0.6343764","0.6340815","0.63401395","0.6333635","0.6328446","0.63187784","0.6310648","0.6310326","0.6304903","0.62965786","0.6286192","0.6275987","0.6273743","0.62688845","0.6262859","0.62562793","0.62487143","0.6245766","0.6240607","0.6235425","0.6220861","0.620831","0.61814225","0.6176663","0.613794","0.6131517","0.6130247","0.6127803","0.6115357","0.6110743","0.6109662","0.61058134","0.6104863","0.6102102","0.610146","0.6090002","0.6059777","0.60543287","0.6051401","0.6049231","0.6047919","0.6047183","0.60363626","0.60335493","0.6027791","0.602761","0.60269904","0.6021462","0.60069746","0.6006685","0.6006199","0.6005543","0.5993445","0.5975088","0.5974182","0.5973929"],"string":"[\n \"0.7363409\",\n \"0.7265668\",\n \"0.7026934\",\n \"0.70062447\",\n \"0.6974826\",\n \"0.6951832\",\n \"0.6935729\",\n \"0.6866081\",\n \"0.6860911\",\n \"0.68512154\",\n \"0.68427277\",\n \"0.6821694\",\n \"0.6818235\",\n \"0.678525\",\n \"0.6766841\",\n \"0.6713527\",\n \"0.6711622\",\n \"0.6703566\",\n \"0.669675\",\n \"0.6693558\",\n \"0.6681207\",\n \"0.66362566\",\n \"0.6631736\",\n \"0.6618845\",\n \"0.6615773\",\n \"0.6607906\",\n \"0.65587777\",\n \"0.6553829\",\n \"0.6549375\",\n \"0.6497911\",\n \"0.64650124\",\n \"0.64609355\",\n \"0.6457277\",\n \"0.6455195\",\n \"0.6451462\",\n \"0.6415653\",\n \"0.64118415\",\n \"0.6404829\",\n \"0.64047563\",\n \"0.639085\",\n \"0.63898176\",\n \"0.63887274\",\n \"0.6383168\",\n \"0.63655907\",\n \"0.63650686\",\n \"0.6343764\",\n \"0.6340815\",\n \"0.63401395\",\n \"0.6333635\",\n \"0.6328446\",\n \"0.63187784\",\n \"0.6310648\",\n \"0.6310326\",\n \"0.6304903\",\n \"0.62965786\",\n \"0.6286192\",\n \"0.6275987\",\n \"0.6273743\",\n \"0.62688845\",\n \"0.6262859\",\n \"0.62562793\",\n \"0.62487143\",\n \"0.6245766\",\n \"0.6240607\",\n \"0.6235425\",\n \"0.6220861\",\n \"0.620831\",\n \"0.61814225\",\n \"0.6176663\",\n \"0.613794\",\n \"0.6131517\",\n \"0.6130247\",\n \"0.6127803\",\n \"0.6115357\",\n \"0.6110743\",\n \"0.6109662\",\n \"0.61058134\",\n \"0.6104863\",\n \"0.6102102\",\n \"0.610146\",\n \"0.6090002\",\n \"0.6059777\",\n \"0.60543287\",\n \"0.6051401\",\n \"0.6049231\",\n \"0.6047919\",\n \"0.6047183\",\n \"0.60363626\",\n \"0.60335493\",\n \"0.6027791\",\n \"0.602761\",\n \"0.60269904\",\n \"0.6021462\",\n \"0.60069746\",\n \"0.6006685\",\n \"0.6006199\",\n \"0.6005543\",\n \"0.5993445\",\n \"0.5975088\",\n \"0.5974182\",\n \"0.5973929\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119394,"cells":{"query":{"kind":"string","value":"Test case number: 141 /Coverage entropy=0.7123333326585803"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test141() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"z8I-qq3BBV%.C. *\");\n Token token0 = xPathLexer0.leftParen();\n assertEquals(1, token0.getTokenType());\n assertEquals(\"z\", token0.getTokenText());\n \n Token token1 = xPathLexer0.nextToken();\n assertEquals(30, token1.getTokenType());\n assertEquals(\"8\", token1.getTokenText());\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test050() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderPRC((-1));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test025() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test118() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test007() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setNumericPriorsFromBuffer();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test108() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.avgCost();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test086() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test117() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test110() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test40() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\n }","@Test(timeout = 4000)\n public void test120() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctIncorrect();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test114() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertEquals(2, doubleArray0.length);\n assertNotNull(doubleArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test17() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test085() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test083() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test113() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(false);\n assertEquals(\"=== Summary ===\\n\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n }","@Test(timeout = 4000)\n public void test119() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString((String) null, true);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(\"null\\nTotal Number of Instances 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test013() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test031() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives((-1436));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test\n public void test35() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }","@Override\n protected long getTestSolution() {\n return 100024;\n }","@Test\n public void test36() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.incorrect();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test087() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }","@Test\n public void test16() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.SFSchemeEntropy();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test106() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setDiscardPredictions(false);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n }","@Test\n @Tag(\"slow\")\n public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test109() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test121() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toClassDetailsString();\n assertEquals(\"=== Detailed Accuracy By Class ===\\n\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test068() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(360, (-336.251));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test024() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test122() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"Y#:')*#rI\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numInstances();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", NumberContext.of(7, 4));\n }","public void testSummaryStatsPartialLog() {\n\n // TODO: Create File in platform independent way.\n File testFile = new File(\"src/test/data/dataset98.txt\");\n GcManager gcManager = new GcManager();\n File preprocessedFile = gcManager.preprocess(testFile, null);\n gcManager.store(preprocessedFile, false);\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\n Assert.assertEquals(\"GC event type count not correct.\", 2, jvmRun.getEventTypes().size());\n Assert.assertEquals(\"GC blocking event count not correct.\", 2, jvmRun.getBlockingEventCount());\n Assert.assertEquals(\"GC pause total not correct.\", 61, jvmRun.getTotalGcPause());\n Assert.assertEquals(\"GC first timestamp not correct.\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last timestamp not correct.\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last duration not correct.\", 41, jvmRun.getLastGcEvent().getDuration());\n Assert.assertEquals(\"Stopped Time event count not correct.\", 6, jvmRun.getStoppedTimeEventCount());\n Assert.assertEquals(\"Stopped time total not correct.\", 1064, jvmRun.getTotalStoppedTime());\n Assert.assertEquals(\"Stopped first timestamp not correct.\", 1000964,\n jvmRun.getFirstStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last timestamp not correct.\", 1003884,\n jvmRun.getLastStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last duration not correct.\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\n Assert.assertEquals(\"JVM first event timestamp not correct.\", 1000964, jvmRun.getFirstEvent().getTimestamp());\n Assert.assertEquals(\"JVM last event timestamp not correct.\", 1003884, jvmRun.getLastEvent().getTimestamp());\n Assert.assertEquals(\"JVM run duration not correct.\", 3920, jvmRun.getJvmRunDuration());\n Assert.assertEquals(\"GC throughput not correct.\", 98, jvmRun.getGcThroughput());\n Assert.assertEquals(\"Stopped time throughput not correct.\", 73, jvmRun.getStoppedTimeThroughput());\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \" analysis not identified.\",\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\n }","@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test084() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01);\n }","@Test\n public void test13() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test011() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unclassified();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test022() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.toMatrixString(\"getPreBuiltClassifiers\");\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test048() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC(17);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l*{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","public void testLiangFigure6() {\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\n\n for (int i = 0; i < ntimes - 1; i++) {\n cases[i][0] = a[i];\n cases[i][1] = b[i];\n cases[i][2] = c[i];\n cases[i + 1][3] = ap[i];\n cases[i + 1][4] = bp[i];\n cases[i + 1][5] = cp[i];\n }\n cases[8][0] = 0;\n cases[8][1] = 0;\n cases[8][2] = 0;\n cases[0][3] = 0;\n cases[0][4] = 0;\n cases[0][5] = 0;\n\n RevealEvaluator re = new RevealEvaluator(cases);\n\n double rea = re.entropy(a);\n assertEquals(1.0, rea, TOLERANCE);\n System.out.println(\"H(a) = \" + rea); //Should be 1.0\n\n double reb = re.entropy(b);\n assertEquals(1.0, reb, TOLERANCE);\n System.out.println(\"H(b) = \" + reb); //Should be 1.0\n\n double rec = re.entropy(c);\n assertEquals(1.0, rec, TOLERANCE);\n System.out.println(\"H(c) = \" + rec); //Should be 1.0\n\n double reab = re.jointEntropy(a, b);\n assertEquals(2.0, reab, TOLERANCE);\n System.out.println(\"H(a,b) = \" + reab); //Should be 2.0\n\n double reap = re.entropy(ap);\n assertEquals(1.0, reap, TOLERANCE);\n System.out.println(\"H(ap) = \" + reap); //Should be 1.0\n\n double rebp = re.entropy(bp);\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\n System.out.println(\"H(bp) = \" + rebp); //Should be 0.8112781244591328\n\n double recp = re.entropy(cp);\n assertEquals(1.0, recp, TOLERANCE);\n System.out.println(\"H(cp) = \" + recp); //Should be 1.0\n\n double reapa = re.jointEntropy(ap, a);\n assertEquals(2.0, reapa, TOLERANCE);\n System.out.println(\"H(ap, a) = \" + reapa); //Should be 2.0\n\n double rebpb = re.jointEntropy(bp, b);\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\n System.out.println(\n \"H(bp, b) = \" + rebpb); //Should be 1.8112781244591327\n\n double recpb = re.jointEntropy(cp, b);\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\n System.out.println(\n \"H(cp, b) = \" + recpb); //Should be 1.8112781244591327\n\n int[][] ab = new int[2][8];\n for (int i = 0; i < 8; i++) {\n ab[0][i] = a[i];\n ab[1][i] = b[i];\n }\n\n double rebpab = re.jointEntropy(bp, ab);\n assertEquals(2.5, rebpab, TOLERANCE);\n System.out.println(\"H(bp, a, b) = \" + rebpab); //Should be 2.5\n\n double recpab = re.jointEntropy(cp, ab);\n assertEquals(2.5, recpab, TOLERANCE);\n System.out.println(\"H(cp, a, b) = \" + recpab); //Should be 2.5\n\n int[][] abc = new int[3][8];\n for (int i = 0; i < 8; i++) {\n abc[0][i] = a[i];\n abc[1][i] = b[i];\n abc[2][i] = c[i];\n }\n\n double recpabc = re.jointEntropy(cp, abc);\n assertEquals(3.0, recpabc, TOLERANCE);\n System.out.println(\"H(cp, a, b, c) = \" + recpabc); //Should be 3.0\n\n //Setup array cases and test mutualInformation\n int[] p = new int[1];\n p[0] = 0;\n\n double rembpa = re.mutualInformation(4, p, 1);\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\n System.out.println(\n \"M(Bp, A) = \" + rembpa); //Should be 0.31127812445913294\n\n int[] pp = new int[2];\n pp[0] = 0;\n pp[1] = 1;\n\n double rmcpab = re.mutualInformation(5, pp, 1);\n assertEquals(0.5, rmcpab, TOLERANCE);\n System.out.println(\"M(Cp, [A,B]) = \" + rmcpab); //Should be 0.5\n\n int[] ppp = new int[3];\n ppp[0] = 0;\n ppp[1] = 1;\n ppp[2] = 2;\n\n double rmcpabc = re.mutualInformation(5, ppp, 1);\n assertEquals(1.0, rmcpabc, TOLERANCE);\n System.out.println(\"M(Cp, [A,B,C]) = \" + rmcpabc); //Should be 1.0\n\n }","@Test\n public void test19() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBInformation();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }","@Test(timeout = 4000)\n public void test051() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test021() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(\"\", false);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", NumberContext.of(7, 4));\n }","@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test36() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\n Attribute attribute0 = new Attribute(\"-\", \"-\", protectedProperties1);\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"(,Z;Xp#\\\"dxq[\", arrayList0, 1587);\n boolean boolean0 = discretize0.setInputFormat(instances0);\n boolean boolean1 = discretize0.batchFinished();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertTrue(boolean1 == boolean0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(boolean1);\n }","@Test\n public void test30() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertFalse(boolean0);\n }","@Test(timeout = 4000)\n public void test070() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test036() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\n assertNotNull(doubleArray0);\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test082() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\" -1 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.makeBinaryTipText();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"Make resulting attributes binary.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getMakeBinary());\n }","@Test\n @Tag(\"bm1000\")\n public void testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", null, NumberContext.of(7, 4));\n }","@Test\n public void test01() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n @Tag(\"slow\")\n public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test12() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.getRevision();\n assertEquals(\"8964\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n discretize0.m_UseEqualFrequency = true;\n discretize0.getOptions();\n assertTrue(discretize0.getMakeBinary());\n \n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test006() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedAreaUnderPRC();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testSCRS8() {\n CuteNetlibCase.doTest(\"SCRS8.SIF\", \"960.0206152764557\", null, NumberContext.of(7, 4));\n }","@Test\n public void run () {\n\t \n\t System.out.println(\"---------->\");\n\t //System.out.println(md5list.getResult());\n\t //System.out.println(hashsearch.getResult());\n\t \n\t \n\t \n\t // System.out.println(samples.Testing());\n\t //System.out.println(\"getserult: \"+samples.getResult());\n\t \n }","@Test(timeout = 4000)\n public void test24() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n byte[] byteArray0 = new byte[3];\n byteArray0[0] = (byte)108;\n byteArray0[1] = (byte)27;\n byteArray0[2] = (byte)14;\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\n discretize0.setBins((-830));\n discretize0.getOptions();\n assertEquals((-830), discretize0.getBins());\n }","@Test(timeout = 4000)\n public void test041() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.fMeasure((-2765));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test19() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getCutPoints((-2276));\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_13() {\n CuteNetlibCase.doTest(\"KEN-13.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize(\"\\tInvert matching sense of column indexes.\");\n discretize0.setOutputFormat();\n discretize0.listOptions();\n Discretize discretize1 = new Discretize();\n discretize1.setIgnoreClass(false);\n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\\tInvert matching sense of column indexes.\";\n stringArray0[1] = \"\";\n Discretize.main(stringArray0);\n String string0 = discretize1.findNumBinsTipText();\n assertEquals(\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\", string0);\n \n discretize1.setInvertSelection(false);\n discretize0.getBinRangesString(511);\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n \n discretize1.getFindNumBins();\n assertEquals(10, discretize1.getBins());\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getBinRangesString(2607);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test01() throws Throwable {\n Discretize discretize0 = new Discretize(\"c9^n/\");\n discretize0.getCapabilities();\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test28() throws Throwable {\n Discretize discretize0 = new Discretize();\n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n doubleArray2[5] = (-236.4995664359);\n doubleArray2[7] = 1421.4058829;\n doubleArray0[3] = doubleArray2;\n double[] doubleArray3 = new double[3];\n doubleArray3[0] = 0.0;\n doubleArray3[1] = (-236.4995664359);\n doubleArray0[4] = doubleArray3;\n double[] doubleArray4 = new double[21];\n doubleArray4[0] = 1421.4058829;\n doubleArray3[2] = (-236.4995664359);\n doubleArray4[4] = 1.7976931348623157E308;\n doubleArray0[7] = doubleArray4;\n discretize0.m_NumBins = 162;\n doubleArray0[1] = doubleArray4;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.getBinRangesString(1);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSC205() {\n CuteNetlibCase.doTest(\"SC205.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test049() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC((-1));\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test111() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.relativeAbsoluteError();\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n }","public double entropyPotential() {\n \n return (-1.0);\n}","@Test(timeout = 4000)\n public void test09() throws Throwable {\n Discretize discretize0 = new Discretize(\"*W5D<hSCW|8@I\");\n int[] intArray0 = new int[9];\n intArray0[0] = (-1405);\n intArray0[1] = (-2938);\n intArray0[2] = (-1954);\n intArray0[3] = 9;\n intArray0[4] = 66;\n intArray0[5] = 573;\n intArray0[6] = 0;\n intArray0[7] = (-71);\n intArray0[8] = 99;\n discretize0.setAttributeIndicesArray(intArray0);\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_11() {\n CuteNetlibCase.doTest(\"KEN-11.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n int[] intArray0 = new int[6];\n intArray0[0] = (-388);\n intArray0[1] = (-2121610348);\n intArray0[2] = 11;\n intArray0[3] = (-1);\n intArray0[4] = 1062;\n intArray0[5] = 70;\n discretize0.setAttributeIndicesArray(intArray0);\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\n discretize0.getOptions();\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@org.junit.Test\n public void coverage()\n {\n new Encodings();\n }","@Test(timeout = 4000)\n public void test088() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBRelativeInformation();\n assertEquals(0.0, double0, 0.01);\n }","@Test\n public void deltaBarICTest1() {\n String text = \"The basic idea of information theory is the more one knows about a topic, the less new information one \"\n + \"is apt to get about it. If an event is very probable, it is no surprise when it happens and thus provides little \"\n + \"new information. Inversely, if the event was improbable, it is much more informative that the event happened. \"\n + \"Therefore, the information content is an increasing function of the inverse of the probability of the event (1/p). \"\n + \"Now, if more events may happen, entropy measures the average information content you can expect to get if one of \"\n + \"the events actually happens. This implies that casting a die has more entropy than tossing a coin because each outcome \"\n + \"of the die has smaller probability than each outcome of the coin.Thus, entropy is a measure of unpredictability of the \"\n + \"state, or equivalently, of its average information content. To get an intuitive understanding of these terms, consider \"\n + \"the example of a political poll. Usually, such polls happen because the outcome of the poll is not already known. \"\n + \"In other words, the outcome of the poll is relatively unpredictable, and actually performing the poll and learning \"\n + \"the results gives some new information; these are just different ways of saying that the a priori entropy of the poll \"\n + \"results is large. Now, consider the case that the same poll is performed a second time shortly after the first poll. \"\n + \"Since the result of the first poll is already known, the outcome of the second poll can be predicted well and the \"\n + \"results should not contain much new information; in this case the a priori entropy of the second poll result is small \"\n + \"relative to that of the first.Now consider the example of a coin toss. Assuming the probability of heads is the same \"\n + \"as the probability of tails, then the entropy of the coin toss is as high as it could be. This is because there is no \"\n + \"way to predict the outcome of the coin toss ahead of time: if we have to choose, the best we can do is predict that the \"\n + \"coin will come up heads, and this prediction will be correct with probability 1/2. Such a coin toss has one bit of \"\n + \"entropy since there are two possible outcomes that occur with equal probability, and learning the actual outcome \"\n + \"contains one bit of information. In contrast, a coin toss using a coin that has two heads and no tails has zero \"\n + \"entropy since the coin will always come up heads, and the outcome can be predicted perfectly. Analogously, \"\n + \"one binary-outcome with equiprobable values has a Shannon entropy of log 2 2 = 1 \"\n + \"{\\\\displaystyle \\\\log _{2}2=1} \\\\log _{2}2=1 bit. Similarly, one trit with equiprobable values contains \"\n + \"log 2 3 {\\\\displaystyle \\\\log _{2}3} \\\\log _{2}3 (about 1.58496) bits of information because it can have \"\n + \"one of three values.English text, treated as a string of characters, has fairly low entropy, i.e., is fairly \"\n + \"predictable. Even if we do not know exactly what is going to come next, we can be fairly certain that, \"\n + \"for example, 'e' will be far more common than 'z', that the combination 'qu' will be much more common than \"\n + \"any other combination with a 'q' in it, and that the combination 'th' will be more common than 'z', 'q', or 'qu'. \"\n + \"After the first few letters one can often guess the rest of the word. English text has between 0.6 \"\n + \"and 1.3 bits of entropy per character of the message.\";\n\n assertEquals(1.7489797231, this.ic.deltaBarIC(text.toLowerCase()), 0.01);\n }","@Test(timeout = 4000)\n public void test040() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.falseNegativeRate((-2));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void testFitnessProportionateSelection()\n {\n }"],"string":"[\n \"@Test(timeout = 4000)\\n public void test126() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.totalCost();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test112() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getHeader();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test29() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.pctCorrect();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderPRC((-1));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test025() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test118() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n \\n evaluation0.useNoPriors();\\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test007() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setNumericPriorsFromBuffer();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test108() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.avgCost();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test086() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test012() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.priorEntropy();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test117() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test110() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test40() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test120() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test114() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertEquals(2, doubleArray0.length);\\n assertNotNull(doubleArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test17() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test085() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test083() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test119() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test013() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test116() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test031() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives((-1436));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n public void test35() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(Double.NaN, double0, 0.01D);\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\n }\",\n \"@Test\\n public void test36() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.incorrect();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test33() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test\\n public void test16() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.SFSchemeEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test106() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setDiscardPredictions(false);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test109() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertFalse(boolean0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test121() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toClassDetailsString();\\n assertEquals(\\\"=== Detailed Accuracy By Class ===\\\\n\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(360, (-336.251));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test024() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test074() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test122() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"Y#:')*#rI\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numInstances();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", NumberContext.of(7, 4));\\n }\",\n \"public void testSummaryStatsPartialLog() {\\n\\n // TODO: Create File in platform independent way.\\n File testFile = new File(\\\"src/test/data/dataset98.txt\\\");\\n GcManager gcManager = new GcManager();\\n File preprocessedFile = gcManager.preprocess(testFile, null);\\n gcManager.store(preprocessedFile, false);\\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\\n Assert.assertEquals(\\\"GC event type count not correct.\\\", 2, jvmRun.getEventTypes().size());\\n Assert.assertEquals(\\\"GC blocking event count not correct.\\\", 2, jvmRun.getBlockingEventCount());\\n Assert.assertEquals(\\\"GC pause total not correct.\\\", 61, jvmRun.getTotalGcPause());\\n Assert.assertEquals(\\\"GC first timestamp not correct.\\\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last timestamp not correct.\\\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last duration not correct.\\\", 41, jvmRun.getLastGcEvent().getDuration());\\n Assert.assertEquals(\\\"Stopped Time event count not correct.\\\", 6, jvmRun.getStoppedTimeEventCount());\\n Assert.assertEquals(\\\"Stopped time total not correct.\\\", 1064, jvmRun.getTotalStoppedTime());\\n Assert.assertEquals(\\\"Stopped first timestamp not correct.\\\", 1000964,\\n jvmRun.getFirstStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last timestamp not correct.\\\", 1003884,\\n jvmRun.getLastStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last duration not correct.\\\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\\n Assert.assertEquals(\\\"JVM first event timestamp not correct.\\\", 1000964, jvmRun.getFirstEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM last event timestamp not correct.\\\", 1003884, jvmRun.getLastEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM run duration not correct.\\\", 3920, jvmRun.getJvmRunDuration());\\n Assert.assertEquals(\\\"GC throughput not correct.\\\", 98, jvmRun.getGcThroughput());\\n Assert.assertEquals(\\\"Stopped time throughput not correct.\\\", 73, jvmRun.getStoppedTimeThroughput());\\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \\\" analysis not identified.\\\",\\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\\n }\",\n \"@Test(timeout = 4000)\\n public void test093() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n Object[] objectArray0 = new Object[2];\\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test084() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n public void test13() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test011() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.unclassified();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test022() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.toMatrixString(\\\"getPreBuiltClassifiers\\\");\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test048() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC(17);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"l*{e5SNh\\\");\\n boolean boolean0 = true;\\n discretize0.m_ClassIndex = 177;\\n discretize0.setUseEqualFrequency(true);\\n double[][] doubleArray0 = new double[5][9];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[0] = (double) 177;\\n doubleArray1[1] = (double) 177;\\n doubleArray1[2] = (double) 177;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[2];\\n doubleArray2[0] = (double) 177;\\n doubleArray2[1] = (double) 177;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[9];\\n doubleArray3[0] = (double) 177;\\n doubleArray3[1] = (double) 177;\\n doubleArray3[2] = (double) 177;\\n doubleArray3[3] = (double) 177;\\n doubleArray3[4] = (double) 177;\\n doubleArray3[5] = (double) 177;\\n doubleArray3[6] = (double) 177;\\n doubleArray3[7] = (double) 177;\\n doubleArray3[8] = (double) 177;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[8];\\n doubleArray4[0] = (double) 177;\\n doubleArray4[1] = (double) 177;\\n doubleArray4[2] = (double) 177;\\n doubleArray4[3] = (double) 177;\\n doubleArray4[4] = (double) 177;\\n doubleArray4[5] = (double) 177;\\n doubleArray4[6] = (double) 177;\\n doubleArray4[7] = (double) 177;\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[0];\\n doubleArray0[4] = doubleArray5;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.listOptions();\\n discretize0.setIgnoreClass(true);\\n String[] stringArray0 = new String[0];\\n Discretize.main(stringArray0);\\n discretize0.findNumBinsTipText();\\n discretize0.setInvertSelection(true);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(511);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 511\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"public void testLiangFigure6() {\\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\\n\\n for (int i = 0; i < ntimes - 1; i++) {\\n cases[i][0] = a[i];\\n cases[i][1] = b[i];\\n cases[i][2] = c[i];\\n cases[i + 1][3] = ap[i];\\n cases[i + 1][4] = bp[i];\\n cases[i + 1][5] = cp[i];\\n }\\n cases[8][0] = 0;\\n cases[8][1] = 0;\\n cases[8][2] = 0;\\n cases[0][3] = 0;\\n cases[0][4] = 0;\\n cases[0][5] = 0;\\n\\n RevealEvaluator re = new RevealEvaluator(cases);\\n\\n double rea = re.entropy(a);\\n assertEquals(1.0, rea, TOLERANCE);\\n System.out.println(\\\"H(a) = \\\" + rea); //Should be 1.0\\n\\n double reb = re.entropy(b);\\n assertEquals(1.0, reb, TOLERANCE);\\n System.out.println(\\\"H(b) = \\\" + reb); //Should be 1.0\\n\\n double rec = re.entropy(c);\\n assertEquals(1.0, rec, TOLERANCE);\\n System.out.println(\\\"H(c) = \\\" + rec); //Should be 1.0\\n\\n double reab = re.jointEntropy(a, b);\\n assertEquals(2.0, reab, TOLERANCE);\\n System.out.println(\\\"H(a,b) = \\\" + reab); //Should be 2.0\\n\\n double reap = re.entropy(ap);\\n assertEquals(1.0, reap, TOLERANCE);\\n System.out.println(\\\"H(ap) = \\\" + reap); //Should be 1.0\\n\\n double rebp = re.entropy(bp);\\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\\n System.out.println(\\\"H(bp) = \\\" + rebp); //Should be 0.8112781244591328\\n\\n double recp = re.entropy(cp);\\n assertEquals(1.0, recp, TOLERANCE);\\n System.out.println(\\\"H(cp) = \\\" + recp); //Should be 1.0\\n\\n double reapa = re.jointEntropy(ap, a);\\n assertEquals(2.0, reapa, TOLERANCE);\\n System.out.println(\\\"H(ap, a) = \\\" + reapa); //Should be 2.0\\n\\n double rebpb = re.jointEntropy(bp, b);\\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\\n System.out.println(\\n \\\"H(bp, b) = \\\" + rebpb); //Should be 1.8112781244591327\\n\\n double recpb = re.jointEntropy(cp, b);\\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\\n System.out.println(\\n \\\"H(cp, b) = \\\" + recpb); //Should be 1.8112781244591327\\n\\n int[][] ab = new int[2][8];\\n for (int i = 0; i < 8; i++) {\\n ab[0][i] = a[i];\\n ab[1][i] = b[i];\\n }\\n\\n double rebpab = re.jointEntropy(bp, ab);\\n assertEquals(2.5, rebpab, TOLERANCE);\\n System.out.println(\\\"H(bp, a, b) = \\\" + rebpab); //Should be 2.5\\n\\n double recpab = re.jointEntropy(cp, ab);\\n assertEquals(2.5, recpab, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b) = \\\" + recpab); //Should be 2.5\\n\\n int[][] abc = new int[3][8];\\n for (int i = 0; i < 8; i++) {\\n abc[0][i] = a[i];\\n abc[1][i] = b[i];\\n abc[2][i] = c[i];\\n }\\n\\n double recpabc = re.jointEntropy(cp, abc);\\n assertEquals(3.0, recpabc, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b, c) = \\\" + recpabc); //Should be 3.0\\n\\n //Setup array cases and test mutualInformation\\n int[] p = new int[1];\\n p[0] = 0;\\n\\n double rembpa = re.mutualInformation(4, p, 1);\\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\\n System.out.println(\\n \\\"M(Bp, A) = \\\" + rembpa); //Should be 0.31127812445913294\\n\\n int[] pp = new int[2];\\n pp[0] = 0;\\n pp[1] = 1;\\n\\n double rmcpab = re.mutualInformation(5, pp, 1);\\n assertEquals(0.5, rmcpab, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B]) = \\\" + rmcpab); //Should be 0.5\\n\\n int[] ppp = new int[3];\\n ppp[0] = 0;\\n ppp[1] = 1;\\n ppp[2] = 2;\\n\\n double rmcpabc = re.mutualInformation(5, ppp, 1);\\n assertEquals(1.0, rmcpabc, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B,C]) = \\\" + rmcpabc); //Should be 1.0\\n\\n }\",\n \"@Test\\n public void test19() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBInformation();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test18() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(2, doubleArray0.length);\\n }\",\n \"@Test(timeout = 4000)\\n public void test051() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test103() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test021() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(\\\"\\\", false);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test026() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.recall((-9));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test21() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.errorRate();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test36() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\\n Attribute attribute0 = new Attribute(\\\"-\\\", \\\"-\\\", protectedProperties1);\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"(,Z;Xp#\\\\\\\"dxq[\\\", arrayList0, 1587);\\n boolean boolean0 = discretize0.setInputFormat(instances0);\\n boolean boolean1 = discretize0.batchFinished();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertTrue(boolean1 == boolean0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(boolean1);\\n }\",\n \"@Test\\n public void test30() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertFalse(boolean0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test070() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\\n assertNotNull(doubleArray0);\\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.makeBinaryTipText();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"Make resulting attributes binary.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test01() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.getRevision();\\n assertEquals(\\\"8964\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n public void test22() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FastVector fastVector0 = evaluation0.predictions();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_UseEqualFrequency = true;\\n discretize0.getOptions();\\n assertTrue(discretize0.getMakeBinary());\\n \\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test006() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.weightedAreaUnderPRC();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void run () {\\n\\t \\n\\t System.out.println(\\\"---------->\\\");\\n\\t //System.out.println(md5list.getResult());\\n\\t //System.out.println(hashsearch.getResult());\\n\\t \\n\\t \\n\\t \\n\\t // System.out.println(samples.Testing());\\n\\t //System.out.println(\\\"getserult: \\\"+samples.getResult());\\n\\t \\n }\",\n \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n byte[] byteArray0 = new byte[3];\\n byteArray0[0] = (byte)108;\\n byteArray0[1] = (byte)27;\\n byteArray0[2] = (byte)14;\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n discretize0.setBins((-830));\\n discretize0.getOptions();\\n assertEquals((-830), discretize0.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test041() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.fMeasure((-2765));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getCutPoints((-2276));\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_13() {\\n CuteNetlibCase.doTest(\\\"KEN-13.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\\tInvert matching sense of column indexes.\\\");\\n discretize0.setOutputFormat();\\n discretize0.listOptions();\\n Discretize discretize1 = new Discretize();\\n discretize1.setIgnoreClass(false);\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\\tInvert matching sense of column indexes.\\\";\\n stringArray0[1] = \\\"\\\";\\n Discretize.main(stringArray0);\\n String string0 = discretize1.findNumBinsTipText();\\n assertEquals(\\\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\\\", string0);\\n \\n discretize1.setInvertSelection(false);\\n discretize0.getBinRangesString(511);\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n \\n discretize1.getFindNumBins();\\n assertEquals(10, discretize1.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getBinRangesString(2607);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test01() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"c9^n/\\\");\\n discretize0.getCapabilities();\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n doubleArray2[5] = (-236.4995664359);\\n doubleArray2[7] = 1421.4058829;\\n doubleArray0[3] = doubleArray2;\\n double[] doubleArray3 = new double[3];\\n doubleArray3[0] = 0.0;\\n doubleArray3[1] = (-236.4995664359);\\n doubleArray0[4] = doubleArray3;\\n double[] doubleArray4 = new double[21];\\n doubleArray4[0] = 1421.4058829;\\n doubleArray3[2] = (-236.4995664359);\\n doubleArray4[4] = 1.7976931348623157E308;\\n doubleArray0[7] = doubleArray4;\\n discretize0.m_NumBins = 162;\\n doubleArray0[1] = doubleArray4;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.getBinRangesString(1);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test049() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC((-1));\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test111() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.relativeAbsoluteError();\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n }\",\n \"public double entropyPotential() {\\n \\n return (-1.0);\\n}\",\n \"@Test(timeout = 4000)\\n public void test09() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"*W5D<hSCW|8@I\\\");\\n int[] intArray0 = new int[9];\\n intArray0[0] = (-1405);\\n intArray0[1] = (-2938);\\n intArray0[2] = (-1954);\\n intArray0[3] = 9;\\n intArray0[4] = 66;\\n intArray0[5] = 573;\\n intArray0[6] = 0;\\n intArray0[7] = (-71);\\n intArray0[8] = 99;\\n discretize0.setAttributeIndicesArray(intArray0);\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_11() {\\n CuteNetlibCase.doTest(\\\"KEN-11.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n int[] intArray0 = new int[6];\\n intArray0[0] = (-388);\\n intArray0[1] = (-2121610348);\\n intArray0[2] = 11;\\n intArray0[3] = (-1);\\n intArray0[4] = 1062;\\n intArray0[5] = 70;\\n discretize0.setAttributeIndicesArray(intArray0);\\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\\n discretize0.getOptions();\\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@org.junit.Test\\n public void coverage()\\n {\\n new Encodings();\\n }\",\n \"@Test(timeout = 4000)\\n public void test088() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBRelativeInformation();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n public void deltaBarICTest1() {\\n String text = \\\"The basic idea of information theory is the more one knows about a topic, the less new information one \\\"\\n + \\\"is apt to get about it. If an event is very probable, it is no surprise when it happens and thus provides little \\\"\\n + \\\"new information. Inversely, if the event was improbable, it is much more informative that the event happened. \\\"\\n + \\\"Therefore, the information content is an increasing function of the inverse of the probability of the event (1/p). \\\"\\n + \\\"Now, if more events may happen, entropy measures the average information content you can expect to get if one of \\\"\\n + \\\"the events actually happens. This implies that casting a die has more entropy than tossing a coin because each outcome \\\"\\n + \\\"of the die has smaller probability than each outcome of the coin.Thus, entropy is a measure of unpredictability of the \\\"\\n + \\\"state, or equivalently, of its average information content. To get an intuitive understanding of these terms, consider \\\"\\n + \\\"the example of a political poll. Usually, such polls happen because the outcome of the poll is not already known. \\\"\\n + \\\"In other words, the outcome of the poll is relatively unpredictable, and actually performing the poll and learning \\\"\\n + \\\"the results gives some new information; these are just different ways of saying that the a priori entropy of the poll \\\"\\n + \\\"results is large. Now, consider the case that the same poll is performed a second time shortly after the first poll. \\\"\\n + \\\"Since the result of the first poll is already known, the outcome of the second poll can be predicted well and the \\\"\\n + \\\"results should not contain much new information; in this case the a priori entropy of the second poll result is small \\\"\\n + \\\"relative to that of the first.Now consider the example of a coin toss. Assuming the probability of heads is the same \\\"\\n + \\\"as the probability of tails, then the entropy of the coin toss is as high as it could be. This is because there is no \\\"\\n + \\\"way to predict the outcome of the coin toss ahead of time: if we have to choose, the best we can do is predict that the \\\"\\n + \\\"coin will come up heads, and this prediction will be correct with probability 1/2. Such a coin toss has one bit of \\\"\\n + \\\"entropy since there are two possible outcomes that occur with equal probability, and learning the actual outcome \\\"\\n + \\\"contains one bit of information. In contrast, a coin toss using a coin that has two heads and no tails has zero \\\"\\n + \\\"entropy since the coin will always come up heads, and the outcome can be predicted perfectly. Analogously, \\\"\\n + \\\"one binary-outcome with equiprobable values has a Shannon entropy of log 2 2 = 1 \\\"\\n + \\\"{\\\\\\\\displaystyle \\\\\\\\log _{2}2=1} \\\\\\\\log _{2}2=1 bit. Similarly, one trit with equiprobable values contains \\\"\\n + \\\"log 2 3 {\\\\\\\\displaystyle \\\\\\\\log _{2}3} \\\\\\\\log _{2}3 (about 1.58496) bits of information because it can have \\\"\\n + \\\"one of three values.English text, treated as a string of characters, has fairly low entropy, i.e., is fairly \\\"\\n + \\\"predictable. Even if we do not know exactly what is going to come next, we can be fairly certain that, \\\"\\n + \\\"for example, 'e' will be far more common than 'z', that the combination 'qu' will be much more common than \\\"\\n + \\\"any other combination with a 'q' in it, and that the combination 'th' will be more common than 'z', 'q', or 'qu'. \\\"\\n + \\\"After the first few letters one can often guess the rest of the word. English text has between 0.6 \\\"\\n + \\\"and 1.3 bits of entropy per character of the message.\\\";\\n\\n assertEquals(1.7489797231, this.ic.deltaBarIC(text.toLowerCase()), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test040() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.falseNegativeRate((-2));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void testFitnessProportionateSelection()\\n {\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7224315","0.71312124","0.6815952","0.68143255","0.6805767","0.67849416","0.67761296","0.6722333","0.67119","0.6701651","0.66770995","0.667588","0.66731805","0.6664168","0.662898","0.66247606","0.659681","0.6595581","0.65949017","0.6586225","0.65308434","0.6527213","0.6521587","0.6456817","0.642957","0.6417982","0.639402","0.6392922","0.6392855","0.63674605","0.6322337","0.63157356","0.63042414","0.6302553","0.63007444","0.62845045","0.62814105","0.6269094","0.626837","0.62483585","0.6247794","0.6247704","0.6228279","0.6221743","0.62118304","0.62050176","0.6203673","0.62013006","0.6200819","0.6196968","0.61949855","0.6158805","0.6157052","0.6154915","0.615113","0.6144929","0.6143383","0.6140581","0.61394817","0.6135438","0.61349654","0.61308205","0.61170864","0.6086964","0.60705096","0.60616595","0.6057843","0.60552514","0.6037968","0.6037056","0.6031453","0.6000041","0.59997904","0.59896064","0.59772736","0.5973572","0.59544736","0.5949706","0.5945367","0.594387","0.5938489","0.5928882","0.5924619","0.5902504","0.5894539","0.5892","0.5889919","0.5861501","0.5851331","0.58392346","0.58368486","0.58362436","0.5831812","0.5829208","0.5828184","0.58255744","0.5825205","0.58230174","0.58184004","0.5809579","0.5803087"],"string":"[\n \"0.7224315\",\n \"0.71312124\",\n \"0.6815952\",\n \"0.68143255\",\n \"0.6805767\",\n \"0.67849416\",\n \"0.67761296\",\n \"0.6722333\",\n \"0.67119\",\n \"0.6701651\",\n \"0.66770995\",\n \"0.667588\",\n \"0.66731805\",\n \"0.6664168\",\n \"0.662898\",\n \"0.66247606\",\n \"0.659681\",\n \"0.6595581\",\n \"0.65949017\",\n \"0.6586225\",\n \"0.65308434\",\n \"0.6527213\",\n \"0.6521587\",\n \"0.6456817\",\n \"0.642957\",\n \"0.6417982\",\n \"0.639402\",\n \"0.6392922\",\n \"0.6392855\",\n \"0.63674605\",\n \"0.6322337\",\n \"0.63157356\",\n \"0.63042414\",\n \"0.6302553\",\n \"0.63007444\",\n \"0.62845045\",\n \"0.62814105\",\n \"0.6269094\",\n \"0.626837\",\n \"0.62483585\",\n \"0.6247794\",\n \"0.6247704\",\n \"0.6228279\",\n \"0.6221743\",\n \"0.62118304\",\n \"0.62050176\",\n \"0.6203673\",\n \"0.62013006\",\n \"0.6200819\",\n \"0.6196968\",\n \"0.61949855\",\n \"0.6158805\",\n \"0.6157052\",\n \"0.6154915\",\n \"0.615113\",\n \"0.6144929\",\n \"0.6143383\",\n \"0.6140581\",\n \"0.61394817\",\n \"0.6135438\",\n \"0.61349654\",\n \"0.61308205\",\n \"0.61170864\",\n \"0.6086964\",\n \"0.60705096\",\n \"0.60616595\",\n \"0.6057843\",\n \"0.60552514\",\n \"0.6037968\",\n \"0.6037056\",\n \"0.6031453\",\n \"0.6000041\",\n \"0.59997904\",\n \"0.59896064\",\n \"0.59772736\",\n \"0.5973572\",\n \"0.59544736\",\n \"0.5949706\",\n \"0.5945367\",\n \"0.594387\",\n \"0.5938489\",\n \"0.5928882\",\n \"0.5924619\",\n \"0.5902504\",\n \"0.5894539\",\n \"0.5892\",\n \"0.5889919\",\n \"0.5861501\",\n \"0.5851331\",\n \"0.58392346\",\n \"0.58368486\",\n \"0.58362436\",\n \"0.5831812\",\n \"0.5829208\",\n \"0.5828184\",\n \"0.58255744\",\n \"0.5825205\",\n \"0.58230174\",\n \"0.58184004\",\n \"0.5809579\",\n \"0.5803087\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119395,"cells":{"query":{"kind":"string","value":"Test case number: 142 /Coverage entropy=0.7486157063094812"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test142() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"a/7J\");\n Token token0 = xPathLexer0.dollar();\n assertEquals(\"a\", token0.getTokenText());\n assertEquals(26, token0.getTokenType());\n \n Token token1 = xPathLexer0.not();\n assertEquals(23, token1.getTokenType());\n assertEquals(\"/\", token1.getTokenText());\n \n Token token2 = xPathLexer0.nextToken();\n assertEquals(\"7\", token2.getTokenText());\n assertEquals(30, token2.getTokenType());\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test110() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test050() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderPRC((-1));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test025() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test118() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test108() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.avgCost();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test007() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setNumericPriorsFromBuffer();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test114() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertEquals(2, doubleArray0.length);\n assertNotNull(doubleArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test40() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\n }","@Test(timeout = 4000)\n public void test117() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test113() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(false);\n assertEquals(\"=== Summary ===\\n\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n }","@Test(timeout = 4000)\n public void test119() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString((String) null, true);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(\"null\\nTotal Number of Instances 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test120() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctIncorrect();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test17() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test083() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test086() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Override\n protected long getTestSolution() {\n return 100024;\n }","@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test085() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test031() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives((-1436));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test013() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test35() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test087() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", NumberContext.of(7, 4));\n }","@Test\n public void test36() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.incorrect();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","public void testSummaryStatsPartialLog() {\n\n // TODO: Create File in platform independent way.\n File testFile = new File(\"src/test/data/dataset98.txt\");\n GcManager gcManager = new GcManager();\n File preprocessedFile = gcManager.preprocess(testFile, null);\n gcManager.store(preprocessedFile, false);\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\n Assert.assertEquals(\"GC event type count not correct.\", 2, jvmRun.getEventTypes().size());\n Assert.assertEquals(\"GC blocking event count not correct.\", 2, jvmRun.getBlockingEventCount());\n Assert.assertEquals(\"GC pause total not correct.\", 61, jvmRun.getTotalGcPause());\n Assert.assertEquals(\"GC first timestamp not correct.\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last timestamp not correct.\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last duration not correct.\", 41, jvmRun.getLastGcEvent().getDuration());\n Assert.assertEquals(\"Stopped Time event count not correct.\", 6, jvmRun.getStoppedTimeEventCount());\n Assert.assertEquals(\"Stopped time total not correct.\", 1064, jvmRun.getTotalStoppedTime());\n Assert.assertEquals(\"Stopped first timestamp not correct.\", 1000964,\n jvmRun.getFirstStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last timestamp not correct.\", 1003884,\n jvmRun.getLastStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last duration not correct.\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\n Assert.assertEquals(\"JVM first event timestamp not correct.\", 1000964, jvmRun.getFirstEvent().getTimestamp());\n Assert.assertEquals(\"JVM last event timestamp not correct.\", 1003884, jvmRun.getLastEvent().getTimestamp());\n Assert.assertEquals(\"JVM run duration not correct.\", 3920, jvmRun.getJvmRunDuration());\n Assert.assertEquals(\"GC throughput not correct.\", 98, jvmRun.getGcThroughput());\n Assert.assertEquals(\"Stopped time throughput not correct.\", 73, jvmRun.getStoppedTimeThroughput());\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \" analysis not identified.\",\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\n }","@Test\n @Tag(\"slow\")\n public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test121() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toClassDetailsString();\n assertEquals(\"=== Detailed Accuracy By Class ===\\n\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test106() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setDiscardPredictions(false);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n }","@Test\n @Tag(\"slow\")\n public void testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test068() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(360, (-336.251));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test024() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test084() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01);\n }","@Test\n public void test16() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.SFSchemeEntropy();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test122() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"Y#:')*#rI\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numInstances();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test109() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test36() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\n Attribute attribute0 = new Attribute(\"-\", \"-\", protectedProperties1);\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"(,Z;Xp#\\\"dxq[\", arrayList0, 1587);\n boolean boolean0 = discretize0.setInputFormat(instances0);\n boolean boolean1 = discretize0.batchFinished();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertTrue(boolean1 == boolean0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(boolean1);\n }","@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l*{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test022() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.toMatrixString(\"getPreBuiltClassifiers\");\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test048() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC(17);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test13() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test\n public void test19() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBInformation();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }","@Test(timeout = 4000)\n public void test021() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(\"\", false);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test011() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unclassified();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test24() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n byte[] byteArray0 = new byte[3];\n byteArray0[0] = (byte)108;\n byteArray0[1] = (byte)27;\n byteArray0[2] = (byte)14;\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\n discretize0.setBins((-830));\n discretize0.getOptions();\n assertEquals((-830), discretize0.getBins());\n }","@Test\n @Tag(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test12() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.getRevision();\n assertEquals(\"8964\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.makeBinaryTipText();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"Make resulting attributes binary.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test082() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\" -1 0 \\n\", string0);\n }","@Test\n @Tag(\"slow\")\n public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testSCRS8() {\n CuteNetlibCase.doTest(\"SCRS8.SIF\", \"960.0206152764557\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n discretize0.m_UseEqualFrequency = true;\n discretize0.getOptions();\n assertTrue(discretize0.getMakeBinary());\n \n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_13() {\n CuteNetlibCase.doTest(\"KEN-13.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test30() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertFalse(boolean0);\n }","@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test051() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test070() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test01() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }","public void testLiangFigure6() {\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\n\n for (int i = 0; i < ntimes - 1; i++) {\n cases[i][0] = a[i];\n cases[i][1] = b[i];\n cases[i][2] = c[i];\n cases[i + 1][3] = ap[i];\n cases[i + 1][4] = bp[i];\n cases[i + 1][5] = cp[i];\n }\n cases[8][0] = 0;\n cases[8][1] = 0;\n cases[8][2] = 0;\n cases[0][3] = 0;\n cases[0][4] = 0;\n cases[0][5] = 0;\n\n RevealEvaluator re = new RevealEvaluator(cases);\n\n double rea = re.entropy(a);\n assertEquals(1.0, rea, TOLERANCE);\n System.out.println(\"H(a) = \" + rea); //Should be 1.0\n\n double reb = re.entropy(b);\n assertEquals(1.0, reb, TOLERANCE);\n System.out.println(\"H(b) = \" + reb); //Should be 1.0\n\n double rec = re.entropy(c);\n assertEquals(1.0, rec, TOLERANCE);\n System.out.println(\"H(c) = \" + rec); //Should be 1.0\n\n double reab = re.jointEntropy(a, b);\n assertEquals(2.0, reab, TOLERANCE);\n System.out.println(\"H(a,b) = \" + reab); //Should be 2.0\n\n double reap = re.entropy(ap);\n assertEquals(1.0, reap, TOLERANCE);\n System.out.println(\"H(ap) = \" + reap); //Should be 1.0\n\n double rebp = re.entropy(bp);\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\n System.out.println(\"H(bp) = \" + rebp); //Should be 0.8112781244591328\n\n double recp = re.entropy(cp);\n assertEquals(1.0, recp, TOLERANCE);\n System.out.println(\"H(cp) = \" + recp); //Should be 1.0\n\n double reapa = re.jointEntropy(ap, a);\n assertEquals(2.0, reapa, TOLERANCE);\n System.out.println(\"H(ap, a) = \" + reapa); //Should be 2.0\n\n double rebpb = re.jointEntropy(bp, b);\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\n System.out.println(\n \"H(bp, b) = \" + rebpb); //Should be 1.8112781244591327\n\n double recpb = re.jointEntropy(cp, b);\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\n System.out.println(\n \"H(cp, b) = \" + recpb); //Should be 1.8112781244591327\n\n int[][] ab = new int[2][8];\n for (int i = 0; i < 8; i++) {\n ab[0][i] = a[i];\n ab[1][i] = b[i];\n }\n\n double rebpab = re.jointEntropy(bp, ab);\n assertEquals(2.5, rebpab, TOLERANCE);\n System.out.println(\"H(bp, a, b) = \" + rebpab); //Should be 2.5\n\n double recpab = re.jointEntropy(cp, ab);\n assertEquals(2.5, recpab, TOLERANCE);\n System.out.println(\"H(cp, a, b) = \" + recpab); //Should be 2.5\n\n int[][] abc = new int[3][8];\n for (int i = 0; i < 8; i++) {\n abc[0][i] = a[i];\n abc[1][i] = b[i];\n abc[2][i] = c[i];\n }\n\n double recpabc = re.jointEntropy(cp, abc);\n assertEquals(3.0, recpabc, TOLERANCE);\n System.out.println(\"H(cp, a, b, c) = \" + recpabc); //Should be 3.0\n\n //Setup array cases and test mutualInformation\n int[] p = new int[1];\n p[0] = 0;\n\n double rembpa = re.mutualInformation(4, p, 1);\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\n System.out.println(\n \"M(Bp, A) = \" + rembpa); //Should be 0.31127812445913294\n\n int[] pp = new int[2];\n pp[0] = 0;\n pp[1] = 1;\n\n double rmcpab = re.mutualInformation(5, pp, 1);\n assertEquals(0.5, rmcpab, TOLERANCE);\n System.out.println(\"M(Cp, [A,B]) = \" + rmcpab); //Should be 0.5\n\n int[] ppp = new int[3];\n ppp[0] = 0;\n ppp[1] = 1;\n ppp[2] = 2;\n\n double rmcpabc = re.mutualInformation(5, ppp, 1);\n assertEquals(1.0, rmcpabc, TOLERANCE);\n System.out.println(\"M(Cp, [A,B,C]) = \" + rmcpabc); //Should be 1.0\n\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getBinRangesString(2607);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize(\"'B1of2'\");\n int[] intArray0 = new int[8];\n intArray0[0] = 18;\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"'B1of2'\");\n discretize0.listOptions();\n String[] stringArray0 = discretize0.getOptions();\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(6, stringArray0.length);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test19() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getCutPoints((-2276));\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize(\"\\tInvert matching sense of column indexes.\");\n discretize0.setOutputFormat();\n discretize0.listOptions();\n Discretize discretize1 = new Discretize();\n discretize1.setIgnoreClass(false);\n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\\tInvert matching sense of column indexes.\";\n stringArray0[1] = \"\";\n Discretize.main(stringArray0);\n String string0 = discretize1.findNumBinsTipText();\n assertEquals(\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\", string0);\n \n discretize1.setInvertSelection(false);\n discretize0.getBinRangesString(511);\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n \n discretize1.getFindNumBins();\n assertEquals(10, discretize1.getBins());\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_11() {\n CuteNetlibCase.doTest(\"KEN-11.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test28() throws Throwable {\n Discretize discretize0 = new Discretize();\n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n doubleArray2[5] = (-236.4995664359);\n doubleArray2[7] = 1421.4058829;\n doubleArray0[3] = doubleArray2;\n double[] doubleArray3 = new double[3];\n doubleArray3[0] = 0.0;\n doubleArray3[1] = (-236.4995664359);\n doubleArray0[4] = doubleArray3;\n double[] doubleArray4 = new double[21];\n doubleArray4[0] = 1421.4058829;\n doubleArray3[2] = (-236.4995664359);\n doubleArray4[4] = 1.7976931348623157E308;\n doubleArray0[7] = doubleArray4;\n discretize0.m_NumBins = 162;\n doubleArray0[1] = doubleArray4;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.getBinRangesString(1);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testD2Q06C() {\n CuteNetlibCase.doTest(\"D2Q06C.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test088() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBRelativeInformation();\n assertEquals(0.0, double0, 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSC205() {\n CuteNetlibCase.doTest(\"SC205.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test\n public void run () {\n\t \n\t System.out.println(\"---------->\");\n\t //System.out.println(md5list.getResult());\n\t //System.out.println(hashsearch.getResult());\n\t \n\t \n\t \n\t // System.out.println(samples.Testing());\n\t //System.out.println(\"getserult: \"+samples.getResult());\n\t \n }","@Test(timeout = 4000)\n public void test036() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\n assertNotNull(doubleArray0);\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void test25FV47() {\n CuteNetlibCase.doTest(\"25FV47.SIF\", \"5501.845888286646\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"unstable\")\n @Tag(\"bm1000\")\n public void testTUFF() {\n CuteNetlibCase.doTest(\"TUFF.SIF\", \"0.29214776509361284\", \"0.8949901867574317\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n int[] intArray0 = new int[6];\n intArray0[0] = (-388);\n intArray0[1] = (-2121610348);\n intArray0[2] = 11;\n intArray0[3] = (-1);\n intArray0[4] = 1062;\n intArray0[5] = 70;\n discretize0.setAttributeIndicesArray(intArray0);\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\n discretize0.getOptions();\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testMODSZK1() {\n CuteNetlibCase.doTest(\"MODSZK1.SIF\", \"320.6197293824883\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSC105() {\n CuteNetlibCase.doTest(\"SC105.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test01() throws Throwable {\n Discretize discretize0 = new Discretize(\"c9^n/\");\n discretize0.getCapabilities();\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test23() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.setIgnoreClass(true);\n discretize0.getOptions();\n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_30() {\n CuteNetlibCase.doTest(\"OSA-30.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test18() throws Throwable {\n Discretize discretize0 = new Discretize(\"%\");\n FileSystemHandling.createFolder((EvoSuiteFile) null);\n discretize0.findNumBinsTipText();\n double[][] doubleArray0 = new double[0][7];\n discretize0.m_CutPoints = doubleArray0;\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\n discretize0.setInvertSelection(false);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test(timeout = 4000)\n public void test006() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedAreaUnderPRC();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }"],"string":"[\n \"@Test(timeout = 4000)\\n public void test126() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.totalCost();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test112() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getHeader();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test110() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderPRC((-1));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test29() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.pctCorrect();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test025() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test118() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n \\n evaluation0.useNoPriors();\\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test108() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.avgCost();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test007() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setNumericPriorsFromBuffer();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test114() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertEquals(2, doubleArray0.length);\\n assertNotNull(doubleArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test40() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test117() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test119() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test120() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test012() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.priorEntropy();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test17() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test083() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test086() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\n }\",\n \"@Test(timeout = 4000)\\n public void test116() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test085() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test031() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives((-1436));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test013() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test35() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(Double.NaN, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test36() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.incorrect();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"public void testSummaryStatsPartialLog() {\\n\\n // TODO: Create File in platform independent way.\\n File testFile = new File(\\\"src/test/data/dataset98.txt\\\");\\n GcManager gcManager = new GcManager();\\n File preprocessedFile = gcManager.preprocess(testFile, null);\\n gcManager.store(preprocessedFile, false);\\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\\n Assert.assertEquals(\\\"GC event type count not correct.\\\", 2, jvmRun.getEventTypes().size());\\n Assert.assertEquals(\\\"GC blocking event count not correct.\\\", 2, jvmRun.getBlockingEventCount());\\n Assert.assertEquals(\\\"GC pause total not correct.\\\", 61, jvmRun.getTotalGcPause());\\n Assert.assertEquals(\\\"GC first timestamp not correct.\\\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last timestamp not correct.\\\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last duration not correct.\\\", 41, jvmRun.getLastGcEvent().getDuration());\\n Assert.assertEquals(\\\"Stopped Time event count not correct.\\\", 6, jvmRun.getStoppedTimeEventCount());\\n Assert.assertEquals(\\\"Stopped time total not correct.\\\", 1064, jvmRun.getTotalStoppedTime());\\n Assert.assertEquals(\\\"Stopped first timestamp not correct.\\\", 1000964,\\n jvmRun.getFirstStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last timestamp not correct.\\\", 1003884,\\n jvmRun.getLastStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last duration not correct.\\\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\\n Assert.assertEquals(\\\"JVM first event timestamp not correct.\\\", 1000964, jvmRun.getFirstEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM last event timestamp not correct.\\\", 1003884, jvmRun.getLastEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM run duration not correct.\\\", 3920, jvmRun.getJvmRunDuration());\\n Assert.assertEquals(\\\"GC throughput not correct.\\\", 98, jvmRun.getGcThroughput());\\n Assert.assertEquals(\\\"Stopped time throughput not correct.\\\", 73, jvmRun.getStoppedTimeThroughput());\\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \\\" analysis not identified.\\\",\\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test121() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toClassDetailsString();\\n assertEquals(\\\"=== Detailed Accuracy By Class ===\\\\n\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test106() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setDiscardPredictions(false);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(360, (-336.251));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test33() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test024() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test084() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n public void test16() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.SFSchemeEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test122() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"Y#:')*#rI\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numInstances();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test026() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.recall((-9));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test109() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertFalse(boolean0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test36() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\\n Attribute attribute0 = new Attribute(\\\"-\\\", \\\"-\\\", protectedProperties1);\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"(,Z;Xp#\\\\\\\"dxq[\\\", arrayList0, 1587);\\n boolean boolean0 = discretize0.setInputFormat(instances0);\\n boolean boolean1 = discretize0.batchFinished();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertTrue(boolean1 == boolean0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(boolean1);\\n }\",\n \"@Test(timeout = 4000)\\n public void test074() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"l*{e5SNh\\\");\\n boolean boolean0 = true;\\n discretize0.m_ClassIndex = 177;\\n discretize0.setUseEqualFrequency(true);\\n double[][] doubleArray0 = new double[5][9];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[0] = (double) 177;\\n doubleArray1[1] = (double) 177;\\n doubleArray1[2] = (double) 177;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[2];\\n doubleArray2[0] = (double) 177;\\n doubleArray2[1] = (double) 177;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[9];\\n doubleArray3[0] = (double) 177;\\n doubleArray3[1] = (double) 177;\\n doubleArray3[2] = (double) 177;\\n doubleArray3[3] = (double) 177;\\n doubleArray3[4] = (double) 177;\\n doubleArray3[5] = (double) 177;\\n doubleArray3[6] = (double) 177;\\n doubleArray3[7] = (double) 177;\\n doubleArray3[8] = (double) 177;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[8];\\n doubleArray4[0] = (double) 177;\\n doubleArray4[1] = (double) 177;\\n doubleArray4[2] = (double) 177;\\n doubleArray4[3] = (double) 177;\\n doubleArray4[4] = (double) 177;\\n doubleArray4[5] = (double) 177;\\n doubleArray4[6] = (double) 177;\\n doubleArray4[7] = (double) 177;\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[0];\\n doubleArray0[4] = doubleArray5;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.listOptions();\\n discretize0.setIgnoreClass(true);\\n String[] stringArray0 = new String[0];\\n Discretize.main(stringArray0);\\n discretize0.findNumBinsTipText();\\n discretize0.setInvertSelection(true);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(511);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 511\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test093() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n Object[] objectArray0 = new Object[2];\\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test022() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.toMatrixString(\\\"getPreBuiltClassifiers\\\");\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test048() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC(17);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test18() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test13() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n public void test19() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBInformation();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(2, doubleArray0.length);\\n }\",\n \"@Test(timeout = 4000)\\n public void test021() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(\\\"\\\", false);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test011() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.unclassified();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n byte[] byteArray0 = new byte[3];\\n byteArray0[0] = (byte)108;\\n byteArray0[1] = (byte)27;\\n byteArray0[2] = (byte)14;\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n discretize0.setBins((-830));\\n discretize0.getOptions();\\n assertEquals((-830), discretize0.getBins());\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.getRevision();\\n assertEquals(\\\"8964\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.makeBinaryTipText();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"Make resulting attributes binary.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_UseEqualFrequency = true;\\n discretize0.getOptions();\\n assertTrue(discretize0.getMakeBinary());\\n \\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_13() {\\n CuteNetlibCase.doTest(\\\"KEN-13.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test21() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.errorRate();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test30() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertFalse(boolean0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test103() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test051() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test070() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test01() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"public void testLiangFigure6() {\\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\\n\\n for (int i = 0; i < ntimes - 1; i++) {\\n cases[i][0] = a[i];\\n cases[i][1] = b[i];\\n cases[i][2] = c[i];\\n cases[i + 1][3] = ap[i];\\n cases[i + 1][4] = bp[i];\\n cases[i + 1][5] = cp[i];\\n }\\n cases[8][0] = 0;\\n cases[8][1] = 0;\\n cases[8][2] = 0;\\n cases[0][3] = 0;\\n cases[0][4] = 0;\\n cases[0][5] = 0;\\n\\n RevealEvaluator re = new RevealEvaluator(cases);\\n\\n double rea = re.entropy(a);\\n assertEquals(1.0, rea, TOLERANCE);\\n System.out.println(\\\"H(a) = \\\" + rea); //Should be 1.0\\n\\n double reb = re.entropy(b);\\n assertEquals(1.0, reb, TOLERANCE);\\n System.out.println(\\\"H(b) = \\\" + reb); //Should be 1.0\\n\\n double rec = re.entropy(c);\\n assertEquals(1.0, rec, TOLERANCE);\\n System.out.println(\\\"H(c) = \\\" + rec); //Should be 1.0\\n\\n double reab = re.jointEntropy(a, b);\\n assertEquals(2.0, reab, TOLERANCE);\\n System.out.println(\\\"H(a,b) = \\\" + reab); //Should be 2.0\\n\\n double reap = re.entropy(ap);\\n assertEquals(1.0, reap, TOLERANCE);\\n System.out.println(\\\"H(ap) = \\\" + reap); //Should be 1.0\\n\\n double rebp = re.entropy(bp);\\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\\n System.out.println(\\\"H(bp) = \\\" + rebp); //Should be 0.8112781244591328\\n\\n double recp = re.entropy(cp);\\n assertEquals(1.0, recp, TOLERANCE);\\n System.out.println(\\\"H(cp) = \\\" + recp); //Should be 1.0\\n\\n double reapa = re.jointEntropy(ap, a);\\n assertEquals(2.0, reapa, TOLERANCE);\\n System.out.println(\\\"H(ap, a) = \\\" + reapa); //Should be 2.0\\n\\n double rebpb = re.jointEntropy(bp, b);\\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\\n System.out.println(\\n \\\"H(bp, b) = \\\" + rebpb); //Should be 1.8112781244591327\\n\\n double recpb = re.jointEntropy(cp, b);\\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\\n System.out.println(\\n \\\"H(cp, b) = \\\" + recpb); //Should be 1.8112781244591327\\n\\n int[][] ab = new int[2][8];\\n for (int i = 0; i < 8; i++) {\\n ab[0][i] = a[i];\\n ab[1][i] = b[i];\\n }\\n\\n double rebpab = re.jointEntropy(bp, ab);\\n assertEquals(2.5, rebpab, TOLERANCE);\\n System.out.println(\\\"H(bp, a, b) = \\\" + rebpab); //Should be 2.5\\n\\n double recpab = re.jointEntropy(cp, ab);\\n assertEquals(2.5, recpab, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b) = \\\" + recpab); //Should be 2.5\\n\\n int[][] abc = new int[3][8];\\n for (int i = 0; i < 8; i++) {\\n abc[0][i] = a[i];\\n abc[1][i] = b[i];\\n abc[2][i] = c[i];\\n }\\n\\n double recpabc = re.jointEntropy(cp, abc);\\n assertEquals(3.0, recpabc, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b, c) = \\\" + recpabc); //Should be 3.0\\n\\n //Setup array cases and test mutualInformation\\n int[] p = new int[1];\\n p[0] = 0;\\n\\n double rembpa = re.mutualInformation(4, p, 1);\\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\\n System.out.println(\\n \\\"M(Bp, A) = \\\" + rembpa); //Should be 0.31127812445913294\\n\\n int[] pp = new int[2];\\n pp[0] = 0;\\n pp[1] = 1;\\n\\n double rmcpab = re.mutualInformation(5, pp, 1);\\n assertEquals(0.5, rmcpab, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B]) = \\\" + rmcpab); //Should be 0.5\\n\\n int[] ppp = new int[3];\\n ppp[0] = 0;\\n ppp[1] = 1;\\n ppp[2] = 2;\\n\\n double rmcpabc = re.mutualInformation(5, ppp, 1);\\n assertEquals(1.0, rmcpabc, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B,C]) = \\\" + rmcpabc); //Should be 1.0\\n\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getBinRangesString(2607);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"'B1of2'\\\");\\n int[] intArray0 = new int[8];\\n intArray0[0] = 18;\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"'B1of2'\\\");\\n discretize0.listOptions();\\n String[] stringArray0 = discretize0.getOptions();\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(6, stringArray0.length);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getCutPoints((-2276));\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\\tInvert matching sense of column indexes.\\\");\\n discretize0.setOutputFormat();\\n discretize0.listOptions();\\n Discretize discretize1 = new Discretize();\\n discretize1.setIgnoreClass(false);\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\\tInvert matching sense of column indexes.\\\";\\n stringArray0[1] = \\\"\\\";\\n Discretize.main(stringArray0);\\n String string0 = discretize1.findNumBinsTipText();\\n assertEquals(\\\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\\\", string0);\\n \\n discretize1.setInvertSelection(false);\\n discretize0.getBinRangesString(511);\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n \\n discretize1.getFindNumBins();\\n assertEquals(10, discretize1.getBins());\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_11() {\\n CuteNetlibCase.doTest(\\\"KEN-11.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n doubleArray2[5] = (-236.4995664359);\\n doubleArray2[7] = 1421.4058829;\\n doubleArray0[3] = doubleArray2;\\n double[] doubleArray3 = new double[3];\\n doubleArray3[0] = 0.0;\\n doubleArray3[1] = (-236.4995664359);\\n doubleArray0[4] = doubleArray3;\\n double[] doubleArray4 = new double[21];\\n doubleArray4[0] = 1421.4058829;\\n doubleArray3[2] = (-236.4995664359);\\n doubleArray4[4] = 1.7976931348623157E308;\\n doubleArray0[7] = doubleArray4;\\n discretize0.m_NumBins = 162;\\n doubleArray0[1] = doubleArray4;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.getBinRangesString(1);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testD2Q06C() {\\n CuteNetlibCase.doTest(\\\"D2Q06C.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test22() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FastVector fastVector0 = evaluation0.predictions();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test088() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBRelativeInformation();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void run () {\\n\\t \\n\\t System.out.println(\\\"---------->\\\");\\n\\t //System.out.println(md5list.getResult());\\n\\t //System.out.println(hashsearch.getResult());\\n\\t \\n\\t \\n\\t \\n\\t // System.out.println(samples.Testing());\\n\\t //System.out.println(\\\"getserult: \\\"+samples.getResult());\\n\\t \\n }\",\n \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\\n assertNotNull(doubleArray0);\\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void test25FV47() {\\n CuteNetlibCase.doTest(\\\"25FV47.SIF\\\", \\\"5501.845888286646\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"unstable\\\")\\n @Tag(\\\"bm1000\\\")\\n public void testTUFF() {\\n CuteNetlibCase.doTest(\\\"TUFF.SIF\\\", \\\"0.29214776509361284\\\", \\\"0.8949901867574317\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n int[] intArray0 = new int[6];\\n intArray0[0] = (-388);\\n intArray0[1] = (-2121610348);\\n intArray0[2] = 11;\\n intArray0[3] = (-1);\\n intArray0[4] = 1062;\\n intArray0[5] = 70;\\n discretize0.setAttributeIndicesArray(intArray0);\\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\\n discretize0.getOptions();\\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testMODSZK1() {\\n CuteNetlibCase.doTest(\\\"MODSZK1.SIF\\\", \\\"320.6197293824883\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC105() {\\n CuteNetlibCase.doTest(\\\"SC105.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test01() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"c9^n/\\\");\\n discretize0.getCapabilities();\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test23() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.setIgnoreClass(true);\\n discretize0.getOptions();\\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_30() {\\n CuteNetlibCase.doTest(\\\"OSA-30.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test18() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"%\\\");\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n discretize0.findNumBinsTipText();\\n double[][] doubleArray0 = new double[0][7];\\n discretize0.m_CutPoints = doubleArray0;\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\\n discretize0.setInvertSelection(false);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test006() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.weightedAreaUnderPRC();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.72750986","0.71814716","0.68015534","0.67964315","0.6778233","0.67779565","0.6756759","0.6756326","0.67442924","0.67104906","0.6705943","0.6697913","0.66885376","0.66843593","0.66673964","0.66428596","0.6631887","0.6630983","0.6626308","0.65873855","0.6582231","0.65819025","0.65196586","0.6519596","0.6462365","0.6453421","0.644995","0.6441913","0.64367586","0.64130783","0.64073753","0.63860005","0.63766754","0.63680136","0.6367306","0.6359682","0.63380986","0.63345295","0.6330301","0.63294816","0.6324456","0.62989855","0.6290111","0.6285109","0.62731683","0.62729776","0.6263253","0.6253068","0.62420696","0.623866","0.6233247","0.62311906","0.6229799","0.62220734","0.62178457","0.6214159","0.6212658","0.62066734","0.6202658","0.6200432","0.61865336","0.6176481","0.61763734","0.6165748","0.61495674","0.6148527","0.6140926","0.61408025","0.61386317","0.6138613","0.61191297","0.6118176","0.61107004","0.6099015","0.60971844","0.6078297","0.60723495","0.6067374","0.6060493","0.6056858","0.605391","0.6050785","0.6045847","0.6044907","0.6035315","0.60294086","0.60293275","0.60249406","0.60203207","0.6019641","0.6015172","0.6000236","0.5977877","0.59742135","0.59736985","0.5968022","0.59641004","0.59590906","0.5957047","0.595066","0.5947594"],"string":"[\n \"0.72750986\",\n \"0.71814716\",\n \"0.68015534\",\n \"0.67964315\",\n \"0.6778233\",\n \"0.67779565\",\n \"0.6756759\",\n \"0.6756326\",\n \"0.67442924\",\n \"0.67104906\",\n \"0.6705943\",\n \"0.6697913\",\n \"0.66885376\",\n \"0.66843593\",\n \"0.66673964\",\n \"0.66428596\",\n \"0.6631887\",\n \"0.6630983\",\n \"0.6626308\",\n \"0.65873855\",\n \"0.6582231\",\n \"0.65819025\",\n \"0.65196586\",\n \"0.6519596\",\n \"0.6462365\",\n \"0.6453421\",\n \"0.644995\",\n \"0.6441913\",\n \"0.64367586\",\n \"0.64130783\",\n \"0.64073753\",\n \"0.63860005\",\n \"0.63766754\",\n \"0.63680136\",\n \"0.6367306\",\n \"0.6359682\",\n \"0.63380986\",\n \"0.63345295\",\n \"0.6330301\",\n \"0.63294816\",\n \"0.6324456\",\n \"0.62989855\",\n \"0.6290111\",\n \"0.6285109\",\n \"0.62731683\",\n \"0.62729776\",\n \"0.6263253\",\n \"0.6253068\",\n \"0.62420696\",\n \"0.623866\",\n \"0.6233247\",\n \"0.62311906\",\n \"0.6229799\",\n \"0.62220734\",\n \"0.62178457\",\n \"0.6214159\",\n \"0.6212658\",\n \"0.62066734\",\n \"0.6202658\",\n \"0.6200432\",\n \"0.61865336\",\n \"0.6176481\",\n \"0.61763734\",\n \"0.6165748\",\n \"0.61495674\",\n \"0.6148527\",\n \"0.6140926\",\n \"0.61408025\",\n \"0.61386317\",\n \"0.6138613\",\n \"0.61191297\",\n \"0.6118176\",\n \"0.61107004\",\n \"0.6099015\",\n \"0.60971844\",\n \"0.6078297\",\n \"0.60723495\",\n \"0.6067374\",\n \"0.6060493\",\n \"0.6056858\",\n \"0.605391\",\n \"0.6050785\",\n \"0.6045847\",\n \"0.6044907\",\n \"0.6035315\",\n \"0.60294086\",\n \"0.60293275\",\n \"0.60249406\",\n \"0.60203207\",\n \"0.6019641\",\n \"0.6015172\",\n \"0.6000236\",\n \"0.5977877\",\n \"0.59742135\",\n \"0.59736985\",\n \"0.5968022\",\n \"0.59641004\",\n \"0.59590906\",\n \"0.5957047\",\n \"0.595066\",\n \"0.5947594\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119396,"cells":{"query":{"kind":"string","value":"Test case number: 143 /Coverage entropy=1.2887205962209296"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test143() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\">6_XdrPl\");\n Token token0 = xPathLexer0.not();\n assertEquals(\">\", token0.getTokenText());\n \n Token token1 = xPathLexer0.nextToken();\n assertEquals(\"6\", token1.getTokenText());\n assertEquals(30, token1.getTokenType());\n \n Token token2 = xPathLexer0.at();\n assertEquals(\"_\", token2.getTokenText());\n assertEquals(16, token2.getTokenType());\n \n Token token3 = xPathLexer0.not();\n assertEquals(23, token3.getTokenType());\n \n Token token4 = xPathLexer0.nextToken();\n assertEquals((-1), token4.getTokenType());\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test025() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test110() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test050() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderPRC((-1));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test118() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test108() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.avgCost();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test114() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertEquals(2, doubleArray0.length);\n assertNotNull(doubleArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test117() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test120() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctIncorrect();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test007() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setNumericPriorsFromBuffer();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test113() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(false);\n assertEquals(\"=== Summary ===\\n\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n }","@Test\n public void test40() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\n }","@Test(timeout = 4000)\n public void test083() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test119() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString((String) null, true);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(\"null\\nTotal Number of Instances 0 \\n\", string0);\n }","@Override\n protected long getTestSolution() {\n return 100024;\n }","@Test(timeout = 4000)\n public void test086() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test031() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives((-1436));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test085() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test013() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test17() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test121() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toClassDetailsString();\n assertEquals(\"=== Detailed Accuracy By Class ===\\n\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test087() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","public void testSummaryStatsPartialLog() {\n\n // TODO: Create File in platform independent way.\n File testFile = new File(\"src/test/data/dataset98.txt\");\n GcManager gcManager = new GcManager();\n File preprocessedFile = gcManager.preprocess(testFile, null);\n gcManager.store(preprocessedFile, false);\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\n Assert.assertEquals(\"GC event type count not correct.\", 2, jvmRun.getEventTypes().size());\n Assert.assertEquals(\"GC blocking event count not correct.\", 2, jvmRun.getBlockingEventCount());\n Assert.assertEquals(\"GC pause total not correct.\", 61, jvmRun.getTotalGcPause());\n Assert.assertEquals(\"GC first timestamp not correct.\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last timestamp not correct.\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last duration not correct.\", 41, jvmRun.getLastGcEvent().getDuration());\n Assert.assertEquals(\"Stopped Time event count not correct.\", 6, jvmRun.getStoppedTimeEventCount());\n Assert.assertEquals(\"Stopped time total not correct.\", 1064, jvmRun.getTotalStoppedTime());\n Assert.assertEquals(\"Stopped first timestamp not correct.\", 1000964,\n jvmRun.getFirstStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last timestamp not correct.\", 1003884,\n jvmRun.getLastStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last duration not correct.\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\n Assert.assertEquals(\"JVM first event timestamp not correct.\", 1000964, jvmRun.getFirstEvent().getTimestamp());\n Assert.assertEquals(\"JVM last event timestamp not correct.\", 1003884, jvmRun.getLastEvent().getTimestamp());\n Assert.assertEquals(\"JVM run duration not correct.\", 3920, jvmRun.getJvmRunDuration());\n Assert.assertEquals(\"GC throughput not correct.\", 98, jvmRun.getGcThroughput());\n Assert.assertEquals(\"Stopped time throughput not correct.\", 73, jvmRun.getStoppedTimeThroughput());\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \" analysis not identified.\",\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\n }","@Test\n public void test35() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test106() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setDiscardPredictions(false);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n }","@Test\n public void test36() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.incorrect();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n @Tag(\"slow\")\n public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", NumberContext.of(7, 4));\n }","@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test068() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(360, (-336.251));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test109() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test122() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"Y#:')*#rI\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numInstances();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test024() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l*{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test(timeout = 4000)\n public void test022() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.toMatrixString(\"getPreBuiltClassifiers\");\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test16() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.SFSchemeEntropy();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test\n @Tag(\"bm1000\")\n public void testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test084() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test011() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unclassified();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }","@Test(timeout = 4000)\n public void test048() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC(17);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", NumberContext.of(7, 4));\n }","@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test021() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(\"\", false);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test36() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\n Attribute attribute0 = new Attribute(\"-\", \"-\", protectedProperties1);\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"(,Z;Xp#\\\"dxq[\", arrayList0, 1587);\n boolean boolean0 = discretize0.setInputFormat(instances0);\n boolean boolean1 = discretize0.batchFinished();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertTrue(boolean1 == boolean0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(boolean1);\n }","@Test\n public void test13() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test\n @Tag(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", NumberContext.of(7, 4));\n }","@Test\n public void test19() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBInformation();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test051() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test082() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\" -1 0 \\n\", string0);\n }","@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.makeBinaryTipText();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"Make resulting attributes binary.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test12() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.getRevision();\n assertEquals(\"8964\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n public void test30() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertFalse(boolean0);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_13() {\n CuteNetlibCase.doTest(\"KEN-13.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n public void test01() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n discretize0.m_UseEqualFrequency = true;\n discretize0.getOptions();\n assertTrue(discretize0.getMakeBinary());\n \n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test(timeout = 4000)\n public void test24() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n byte[] byteArray0 = new byte[3];\n byteArray0[0] = (byte)108;\n byteArray0[1] = (byte)27;\n byteArray0[2] = (byte)14;\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\n discretize0.setBins((-830));\n discretize0.getOptions();\n assertEquals((-830), discretize0.getBins());\n }","@Test(timeout = 4000)\n public void test070() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testSCRS8() {\n CuteNetlibCase.doTest(\"SCRS8.SIF\", \"960.0206152764557\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize(\"\\tInvert matching sense of column indexes.\");\n discretize0.setOutputFormat();\n discretize0.listOptions();\n Discretize discretize1 = new Discretize();\n discretize1.setIgnoreClass(false);\n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\\tInvert matching sense of column indexes.\";\n stringArray0[1] = \"\";\n Discretize.main(stringArray0);\n String string0 = discretize1.findNumBinsTipText();\n assertEquals(\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\", string0);\n \n discretize1.setInvertSelection(false);\n discretize0.getBinRangesString(511);\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n \n discretize1.getFindNumBins();\n assertEquals(10, discretize1.getBins());\n }","@Test(timeout = 4000)\n public void test19() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getCutPoints((-2276));\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","public void testLiangFigure6() {\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\n\n for (int i = 0; i < ntimes - 1; i++) {\n cases[i][0] = a[i];\n cases[i][1] = b[i];\n cases[i][2] = c[i];\n cases[i + 1][3] = ap[i];\n cases[i + 1][4] = bp[i];\n cases[i + 1][5] = cp[i];\n }\n cases[8][0] = 0;\n cases[8][1] = 0;\n cases[8][2] = 0;\n cases[0][3] = 0;\n cases[0][4] = 0;\n cases[0][5] = 0;\n\n RevealEvaluator re = new RevealEvaluator(cases);\n\n double rea = re.entropy(a);\n assertEquals(1.0, rea, TOLERANCE);\n System.out.println(\"H(a) = \" + rea); //Should be 1.0\n\n double reb = re.entropy(b);\n assertEquals(1.0, reb, TOLERANCE);\n System.out.println(\"H(b) = \" + reb); //Should be 1.0\n\n double rec = re.entropy(c);\n assertEquals(1.0, rec, TOLERANCE);\n System.out.println(\"H(c) = \" + rec); //Should be 1.0\n\n double reab = re.jointEntropy(a, b);\n assertEquals(2.0, reab, TOLERANCE);\n System.out.println(\"H(a,b) = \" + reab); //Should be 2.0\n\n double reap = re.entropy(ap);\n assertEquals(1.0, reap, TOLERANCE);\n System.out.println(\"H(ap) = \" + reap); //Should be 1.0\n\n double rebp = re.entropy(bp);\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\n System.out.println(\"H(bp) = \" + rebp); //Should be 0.8112781244591328\n\n double recp = re.entropy(cp);\n assertEquals(1.0, recp, TOLERANCE);\n System.out.println(\"H(cp) = \" + recp); //Should be 1.0\n\n double reapa = re.jointEntropy(ap, a);\n assertEquals(2.0, reapa, TOLERANCE);\n System.out.println(\"H(ap, a) = \" + reapa); //Should be 2.0\n\n double rebpb = re.jointEntropy(bp, b);\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\n System.out.println(\n \"H(bp, b) = \" + rebpb); //Should be 1.8112781244591327\n\n double recpb = re.jointEntropy(cp, b);\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\n System.out.println(\n \"H(cp, b) = \" + recpb); //Should be 1.8112781244591327\n\n int[][] ab = new int[2][8];\n for (int i = 0; i < 8; i++) {\n ab[0][i] = a[i];\n ab[1][i] = b[i];\n }\n\n double rebpab = re.jointEntropy(bp, ab);\n assertEquals(2.5, rebpab, TOLERANCE);\n System.out.println(\"H(bp, a, b) = \" + rebpab); //Should be 2.5\n\n double recpab = re.jointEntropy(cp, ab);\n assertEquals(2.5, recpab, TOLERANCE);\n System.out.println(\"H(cp, a, b) = \" + recpab); //Should be 2.5\n\n int[][] abc = new int[3][8];\n for (int i = 0; i < 8; i++) {\n abc[0][i] = a[i];\n abc[1][i] = b[i];\n abc[2][i] = c[i];\n }\n\n double recpabc = re.jointEntropy(cp, abc);\n assertEquals(3.0, recpabc, TOLERANCE);\n System.out.println(\"H(cp, a, b, c) = \" + recpabc); //Should be 3.0\n\n //Setup array cases and test mutualInformation\n int[] p = new int[1];\n p[0] = 0;\n\n double rembpa = re.mutualInformation(4, p, 1);\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\n System.out.println(\n \"M(Bp, A) = \" + rembpa); //Should be 0.31127812445913294\n\n int[] pp = new int[2];\n pp[0] = 0;\n pp[1] = 1;\n\n double rmcpab = re.mutualInformation(5, pp, 1);\n assertEquals(0.5, rmcpab, TOLERANCE);\n System.out.println(\"M(Cp, [A,B]) = \" + rmcpab); //Should be 0.5\n\n int[] ppp = new int[3];\n ppp[0] = 0;\n ppp[1] = 1;\n ppp[2] = 2;\n\n double rmcpabc = re.mutualInformation(5, ppp, 1);\n assertEquals(1.0, rmcpabc, TOLERANCE);\n System.out.println(\"M(Cp, [A,B,C]) = \" + rmcpabc); //Should be 1.0\n\n }","@Test\n public void run () {\n\t \n\t System.out.println(\"---------->\");\n\t //System.out.println(md5list.getResult());\n\t //System.out.println(hashsearch.getResult());\n\t \n\t \n\t \n\t // System.out.println(samples.Testing());\n\t //System.out.println(\"getserult: \"+samples.getResult());\n\t \n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getBinRangesString(2607);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_11() {\n CuteNetlibCase.doTest(\"KEN-11.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize(\"'B1of2'\");\n int[] intArray0 = new int[8];\n intArray0[0] = 18;\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"'B1of2'\");\n discretize0.listOptions();\n String[] stringArray0 = discretize0.getOptions();\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(6, stringArray0.length);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test28() throws Throwable {\n Discretize discretize0 = new Discretize();\n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n doubleArray2[5] = (-236.4995664359);\n doubleArray2[7] = 1421.4058829;\n doubleArray0[3] = doubleArray2;\n double[] doubleArray3 = new double[3];\n doubleArray3[0] = 0.0;\n doubleArray3[1] = (-236.4995664359);\n doubleArray0[4] = doubleArray3;\n double[] doubleArray4 = new double[21];\n doubleArray4[0] = 1421.4058829;\n doubleArray3[2] = (-236.4995664359);\n doubleArray4[4] = 1.7976931348623157E308;\n doubleArray0[7] = doubleArray4;\n discretize0.m_NumBins = 162;\n doubleArray0[1] = doubleArray4;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.getBinRangesString(1);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test\n @Tag(\"slow\")\n public void test25FV47() {\n CuteNetlibCase.doTest(\"25FV47.SIF\", \"5501.845888286646\", null, NumberContext.of(7, 4));\n }","@org.junit.Test\n public void coverage()\n {\n new Encodings();\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testD2Q06C() {\n CuteNetlibCase.doTest(\"D2Q06C.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test111() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.relativeAbsoluteError();\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSC205() {\n CuteNetlibCase.doTest(\"SC205.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_30() {\n CuteNetlibCase.doTest(\"OSA-30.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testMODSZK1() {\n CuteNetlibCase.doTest(\"MODSZK1.SIF\", \"320.6197293824883\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test23() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.setIgnoreClass(true);\n discretize0.getOptions();\n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test(timeout = 4000)\n public void test041() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.fMeasure((-2765));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test036() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\n assertNotNull(doubleArray0);\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test01() throws Throwable {\n Discretize discretize0 = new Discretize(\"c9^n/\");\n discretize0.getCapabilities();\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test35() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n Attribute attribute0 = new Attribute(\"invalid CVS revision - not dots!\");\n attribute0.setWeight(0.0);\n Attribute.typeToString(attribute0);\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"UR<dj;O\", arrayList0, 3);\n Instances instances1 = new Instances(instances0);\n boolean boolean0 = discretize0.setInputFormat(instances1);\n assertFalse(boolean0);\n \n String[] stringArray0 = new String[3];\n stringArray0[0] = \".bsi\";\n stringArray0[1] = \"invalid CVS revision - not dots!\";\n stringArray0[2] = \"@end\";\n discretize0.setOptions(stringArray0);\n discretize0.setOptions(stringArray0);\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n }","@Test\n public void testFitnessProportionateSelection()\n {\n }","@Test\n @Tag(\"slow\")\n public void testSCSD8() {\n CuteNetlibCase.doTest(\"SCSD8.SIF\", \"905\", null, NumberContext.of(7, 4));\n }"],"string":"[\n \"@Test(timeout = 4000)\\n public void test126() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.totalCost();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test112() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getHeader();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test025() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test29() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.pctCorrect();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test110() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderPRC((-1));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test118() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n \\n evaluation0.useNoPriors();\\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test108() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.avgCost();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test114() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertEquals(2, doubleArray0.length);\\n assertNotNull(doubleArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test117() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test120() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test007() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setNumericPriorsFromBuffer();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"@Test\\n public void test40() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test083() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test119() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\n }\",\n \"@Test(timeout = 4000)\\n public void test086() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test012() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.priorEntropy();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test116() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test031() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives((-1436));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test085() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test013() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test17() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test121() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toClassDetailsString();\\n assertEquals(\\\"=== Detailed Accuracy By Class ===\\\\n\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"public void testSummaryStatsPartialLog() {\\n\\n // TODO: Create File in platform independent way.\\n File testFile = new File(\\\"src/test/data/dataset98.txt\\\");\\n GcManager gcManager = new GcManager();\\n File preprocessedFile = gcManager.preprocess(testFile, null);\\n gcManager.store(preprocessedFile, false);\\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\\n Assert.assertEquals(\\\"GC event type count not correct.\\\", 2, jvmRun.getEventTypes().size());\\n Assert.assertEquals(\\\"GC blocking event count not correct.\\\", 2, jvmRun.getBlockingEventCount());\\n Assert.assertEquals(\\\"GC pause total not correct.\\\", 61, jvmRun.getTotalGcPause());\\n Assert.assertEquals(\\\"GC first timestamp not correct.\\\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last timestamp not correct.\\\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last duration not correct.\\\", 41, jvmRun.getLastGcEvent().getDuration());\\n Assert.assertEquals(\\\"Stopped Time event count not correct.\\\", 6, jvmRun.getStoppedTimeEventCount());\\n Assert.assertEquals(\\\"Stopped time total not correct.\\\", 1064, jvmRun.getTotalStoppedTime());\\n Assert.assertEquals(\\\"Stopped first timestamp not correct.\\\", 1000964,\\n jvmRun.getFirstStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last timestamp not correct.\\\", 1003884,\\n jvmRun.getLastStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last duration not correct.\\\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\\n Assert.assertEquals(\\\"JVM first event timestamp not correct.\\\", 1000964, jvmRun.getFirstEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM last event timestamp not correct.\\\", 1003884, jvmRun.getLastEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM run duration not correct.\\\", 3920, jvmRun.getJvmRunDuration());\\n Assert.assertEquals(\\\"GC throughput not correct.\\\", 98, jvmRun.getGcThroughput());\\n Assert.assertEquals(\\\"Stopped time throughput not correct.\\\", 73, jvmRun.getStoppedTimeThroughput());\\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \\\" analysis not identified.\\\",\\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\\n }\",\n \"@Test\\n public void test35() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(Double.NaN, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test106() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setDiscardPredictions(false);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n }\",\n \"@Test\\n public void test36() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.incorrect();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test33() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(360, (-336.251));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test109() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertFalse(boolean0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test122() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"Y#:')*#rI\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numInstances();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test024() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"l*{e5SNh\\\");\\n boolean boolean0 = true;\\n discretize0.m_ClassIndex = 177;\\n discretize0.setUseEqualFrequency(true);\\n double[][] doubleArray0 = new double[5][9];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[0] = (double) 177;\\n doubleArray1[1] = (double) 177;\\n doubleArray1[2] = (double) 177;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[2];\\n doubleArray2[0] = (double) 177;\\n doubleArray2[1] = (double) 177;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[9];\\n doubleArray3[0] = (double) 177;\\n doubleArray3[1] = (double) 177;\\n doubleArray3[2] = (double) 177;\\n doubleArray3[3] = (double) 177;\\n doubleArray3[4] = (double) 177;\\n doubleArray3[5] = (double) 177;\\n doubleArray3[6] = (double) 177;\\n doubleArray3[7] = (double) 177;\\n doubleArray3[8] = (double) 177;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[8];\\n doubleArray4[0] = (double) 177;\\n doubleArray4[1] = (double) 177;\\n doubleArray4[2] = (double) 177;\\n doubleArray4[3] = (double) 177;\\n doubleArray4[4] = (double) 177;\\n doubleArray4[5] = (double) 177;\\n doubleArray4[6] = (double) 177;\\n doubleArray4[7] = (double) 177;\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[0];\\n doubleArray0[4] = doubleArray5;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.listOptions();\\n discretize0.setIgnoreClass(true);\\n String[] stringArray0 = new String[0];\\n Discretize.main(stringArray0);\\n discretize0.findNumBinsTipText();\\n discretize0.setInvertSelection(true);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(511);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 511\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test022() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.toMatrixString(\\\"getPreBuiltClassifiers\\\");\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test026() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.recall((-9));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test093() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n Object[] objectArray0 = new Object[2];\\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test16() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.SFSchemeEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test084() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test074() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test011() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.unclassified();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(2, doubleArray0.length);\\n }\",\n \"@Test(timeout = 4000)\\n public void test048() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC(17);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test18() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test021() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(\\\"\\\", false);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test36() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\\n Attribute attribute0 = new Attribute(\\\"-\\\", \\\"-\\\", protectedProperties1);\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"(,Z;Xp#\\\\\\\"dxq[\\\", arrayList0, 1587);\\n boolean boolean0 = discretize0.setInputFormat(instances0);\\n boolean boolean1 = discretize0.batchFinished();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertTrue(boolean1 == boolean0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(boolean1);\\n }\",\n \"@Test\\n public void test13() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test103() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test19() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBInformation();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test051() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n }\",\n \"@Test\\n public void test21() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.errorRate();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.makeBinaryTipText();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"Make resulting attributes binary.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.getRevision();\\n assertEquals(\\\"8964\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n public void test30() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertFalse(boolean0);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_13() {\\n CuteNetlibCase.doTest(\\\"KEN-13.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test01() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_UseEqualFrequency = true;\\n discretize0.getOptions();\\n assertTrue(discretize0.getMakeBinary());\\n \\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n byte[] byteArray0 = new byte[3];\\n byteArray0[0] = (byte)108;\\n byteArray0[1] = (byte)27;\\n byteArray0[2] = (byte)14;\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n discretize0.setBins((-830));\\n discretize0.getOptions();\\n assertEquals((-830), discretize0.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test070() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\\tInvert matching sense of column indexes.\\\");\\n discretize0.setOutputFormat();\\n discretize0.listOptions();\\n Discretize discretize1 = new Discretize();\\n discretize1.setIgnoreClass(false);\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\\tInvert matching sense of column indexes.\\\";\\n stringArray0[1] = \\\"\\\";\\n Discretize.main(stringArray0);\\n String string0 = discretize1.findNumBinsTipText();\\n assertEquals(\\\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\\\", string0);\\n \\n discretize1.setInvertSelection(false);\\n discretize0.getBinRangesString(511);\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n \\n discretize1.getFindNumBins();\\n assertEquals(10, discretize1.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getCutPoints((-2276));\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"@Test\\n public void test22() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FastVector fastVector0 = evaluation0.predictions();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"public void testLiangFigure6() {\\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\\n\\n for (int i = 0; i < ntimes - 1; i++) {\\n cases[i][0] = a[i];\\n cases[i][1] = b[i];\\n cases[i][2] = c[i];\\n cases[i + 1][3] = ap[i];\\n cases[i + 1][4] = bp[i];\\n cases[i + 1][5] = cp[i];\\n }\\n cases[8][0] = 0;\\n cases[8][1] = 0;\\n cases[8][2] = 0;\\n cases[0][3] = 0;\\n cases[0][4] = 0;\\n cases[0][5] = 0;\\n\\n RevealEvaluator re = new RevealEvaluator(cases);\\n\\n double rea = re.entropy(a);\\n assertEquals(1.0, rea, TOLERANCE);\\n System.out.println(\\\"H(a) = \\\" + rea); //Should be 1.0\\n\\n double reb = re.entropy(b);\\n assertEquals(1.0, reb, TOLERANCE);\\n System.out.println(\\\"H(b) = \\\" + reb); //Should be 1.0\\n\\n double rec = re.entropy(c);\\n assertEquals(1.0, rec, TOLERANCE);\\n System.out.println(\\\"H(c) = \\\" + rec); //Should be 1.0\\n\\n double reab = re.jointEntropy(a, b);\\n assertEquals(2.0, reab, TOLERANCE);\\n System.out.println(\\\"H(a,b) = \\\" + reab); //Should be 2.0\\n\\n double reap = re.entropy(ap);\\n assertEquals(1.0, reap, TOLERANCE);\\n System.out.println(\\\"H(ap) = \\\" + reap); //Should be 1.0\\n\\n double rebp = re.entropy(bp);\\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\\n System.out.println(\\\"H(bp) = \\\" + rebp); //Should be 0.8112781244591328\\n\\n double recp = re.entropy(cp);\\n assertEquals(1.0, recp, TOLERANCE);\\n System.out.println(\\\"H(cp) = \\\" + recp); //Should be 1.0\\n\\n double reapa = re.jointEntropy(ap, a);\\n assertEquals(2.0, reapa, TOLERANCE);\\n System.out.println(\\\"H(ap, a) = \\\" + reapa); //Should be 2.0\\n\\n double rebpb = re.jointEntropy(bp, b);\\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\\n System.out.println(\\n \\\"H(bp, b) = \\\" + rebpb); //Should be 1.8112781244591327\\n\\n double recpb = re.jointEntropy(cp, b);\\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\\n System.out.println(\\n \\\"H(cp, b) = \\\" + recpb); //Should be 1.8112781244591327\\n\\n int[][] ab = new int[2][8];\\n for (int i = 0; i < 8; i++) {\\n ab[0][i] = a[i];\\n ab[1][i] = b[i];\\n }\\n\\n double rebpab = re.jointEntropy(bp, ab);\\n assertEquals(2.5, rebpab, TOLERANCE);\\n System.out.println(\\\"H(bp, a, b) = \\\" + rebpab); //Should be 2.5\\n\\n double recpab = re.jointEntropy(cp, ab);\\n assertEquals(2.5, recpab, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b) = \\\" + recpab); //Should be 2.5\\n\\n int[][] abc = new int[3][8];\\n for (int i = 0; i < 8; i++) {\\n abc[0][i] = a[i];\\n abc[1][i] = b[i];\\n abc[2][i] = c[i];\\n }\\n\\n double recpabc = re.jointEntropy(cp, abc);\\n assertEquals(3.0, recpabc, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b, c) = \\\" + recpabc); //Should be 3.0\\n\\n //Setup array cases and test mutualInformation\\n int[] p = new int[1];\\n p[0] = 0;\\n\\n double rembpa = re.mutualInformation(4, p, 1);\\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\\n System.out.println(\\n \\\"M(Bp, A) = \\\" + rembpa); //Should be 0.31127812445913294\\n\\n int[] pp = new int[2];\\n pp[0] = 0;\\n pp[1] = 1;\\n\\n double rmcpab = re.mutualInformation(5, pp, 1);\\n assertEquals(0.5, rmcpab, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B]) = \\\" + rmcpab); //Should be 0.5\\n\\n int[] ppp = new int[3];\\n ppp[0] = 0;\\n ppp[1] = 1;\\n ppp[2] = 2;\\n\\n double rmcpabc = re.mutualInformation(5, ppp, 1);\\n assertEquals(1.0, rmcpabc, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B,C]) = \\\" + rmcpabc); //Should be 1.0\\n\\n }\",\n \"@Test\\n public void run () {\\n\\t \\n\\t System.out.println(\\\"---------->\\\");\\n\\t //System.out.println(md5list.getResult());\\n\\t //System.out.println(hashsearch.getResult());\\n\\t \\n\\t \\n\\t \\n\\t // System.out.println(samples.Testing());\\n\\t //System.out.println(\\\"getserult: \\\"+samples.getResult());\\n\\t \\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getBinRangesString(2607);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_11() {\\n CuteNetlibCase.doTest(\\\"KEN-11.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"'B1of2'\\\");\\n int[] intArray0 = new int[8];\\n intArray0[0] = 18;\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"'B1of2'\\\");\\n discretize0.listOptions();\\n String[] stringArray0 = discretize0.getOptions();\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(6, stringArray0.length);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n doubleArray2[5] = (-236.4995664359);\\n doubleArray2[7] = 1421.4058829;\\n doubleArray0[3] = doubleArray2;\\n double[] doubleArray3 = new double[3];\\n doubleArray3[0] = 0.0;\\n doubleArray3[1] = (-236.4995664359);\\n doubleArray0[4] = doubleArray3;\\n double[] doubleArray4 = new double[21];\\n doubleArray4[0] = 1421.4058829;\\n doubleArray3[2] = (-236.4995664359);\\n doubleArray4[4] = 1.7976931348623157E308;\\n doubleArray0[7] = doubleArray4;\\n discretize0.m_NumBins = 162;\\n doubleArray0[1] = doubleArray4;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.getBinRangesString(1);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void test25FV47() {\\n CuteNetlibCase.doTest(\\\"25FV47.SIF\\\", \\\"5501.845888286646\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@org.junit.Test\\n public void coverage()\\n {\\n new Encodings();\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testD2Q06C() {\\n CuteNetlibCase.doTest(\\\"D2Q06C.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test111() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.relativeAbsoluteError();\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_30() {\\n CuteNetlibCase.doTest(\\\"OSA-30.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testMODSZK1() {\\n CuteNetlibCase.doTest(\\\"MODSZK1.SIF\\\", \\\"320.6197293824883\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test23() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.setIgnoreClass(true);\\n discretize0.getOptions();\\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test041() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.fMeasure((-2765));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\\n assertNotNull(doubleArray0);\\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test01() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"c9^n/\\\");\\n discretize0.getCapabilities();\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test35() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n Attribute attribute0 = new Attribute(\\\"invalid CVS revision - not dots!\\\");\\n attribute0.setWeight(0.0);\\n Attribute.typeToString(attribute0);\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"UR<dj;O\\\", arrayList0, 3);\\n Instances instances1 = new Instances(instances0);\\n boolean boolean0 = discretize0.setInputFormat(instances1);\\n assertFalse(boolean0);\\n \\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\".bsi\\\";\\n stringArray0[1] = \\\"invalid CVS revision - not dots!\\\";\\n stringArray0[2] = \\\"@end\\\";\\n discretize0.setOptions(stringArray0);\\n discretize0.setOptions(stringArray0);\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n }\",\n \"@Test\\n public void testFitnessProportionateSelection()\\n {\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testSCSD8() {\\n CuteNetlibCase.doTest(\\\"SCSD8.SIF\\\", \\\"905\\\", null, NumberContext.of(7, 4));\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7245262","0.71687454","0.6854032","0.6838249","0.6812432","0.6796219","0.6780422","0.6767792","0.675886","0.67427933","0.67312706","0.67178375","0.67130077","0.6699248","0.66853297","0.6679838","0.66790384","0.6658853","0.663812","0.6615938","0.6590686","0.6584426","0.65802306","0.65797335","0.6518553","0.6489953","0.648987","0.6482182","0.64609396","0.6459491","0.64398915","0.6438904","0.6430902","0.6429123","0.64199483","0.63892525","0.6374109","0.6369542","0.635283","0.6352595","0.63458395","0.63450706","0.6343897","0.6329849","0.6326403","0.6309621","0.63089174","0.62988657","0.62660396","0.6258302","0.62406373","0.6235639","0.62346727","0.6233598","0.6230801","0.6226859","0.6226738","0.62201506","0.6217656","0.6214653","0.620982","0.62056494","0.61999965","0.6192055","0.6189677","0.6185365","0.6167487","0.615871","0.61520314","0.61499953","0.6134601","0.6133958","0.61336994","0.6133341","0.6132636","0.61279833","0.6125498","0.61208767","0.61016905","0.6099543","0.60916156","0.60807264","0.6074594","0.60628307","0.6052652","0.6028549","0.6023051","0.6019656","0.60066575","0.60054815","0.6000872","0.5995859","0.59925216","0.5985499","0.59841764","0.59817123","0.597723","0.5975889","0.5968981","0.5963821","0.5958402"],"string":"[\n \"0.7245262\",\n \"0.71687454\",\n \"0.6854032\",\n \"0.6838249\",\n \"0.6812432\",\n \"0.6796219\",\n \"0.6780422\",\n \"0.6767792\",\n \"0.675886\",\n \"0.67427933\",\n \"0.67312706\",\n \"0.67178375\",\n \"0.67130077\",\n \"0.6699248\",\n \"0.66853297\",\n \"0.6679838\",\n \"0.66790384\",\n \"0.6658853\",\n \"0.663812\",\n \"0.6615938\",\n \"0.6590686\",\n \"0.6584426\",\n \"0.65802306\",\n \"0.65797335\",\n \"0.6518553\",\n \"0.6489953\",\n \"0.648987\",\n \"0.6482182\",\n \"0.64609396\",\n \"0.6459491\",\n \"0.64398915\",\n \"0.6438904\",\n \"0.6430902\",\n \"0.6429123\",\n \"0.64199483\",\n \"0.63892525\",\n \"0.6374109\",\n \"0.6369542\",\n \"0.635283\",\n \"0.6352595\",\n \"0.63458395\",\n \"0.63450706\",\n \"0.6343897\",\n \"0.6329849\",\n \"0.6326403\",\n \"0.6309621\",\n \"0.63089174\",\n \"0.62988657\",\n \"0.62660396\",\n \"0.6258302\",\n \"0.62406373\",\n \"0.6235639\",\n \"0.62346727\",\n \"0.6233598\",\n \"0.6230801\",\n \"0.6226859\",\n \"0.6226738\",\n \"0.62201506\",\n \"0.6217656\",\n \"0.6214653\",\n \"0.620982\",\n \"0.62056494\",\n \"0.61999965\",\n \"0.6192055\",\n \"0.6189677\",\n \"0.6185365\",\n \"0.6167487\",\n \"0.615871\",\n \"0.61520314\",\n \"0.61499953\",\n \"0.6134601\",\n \"0.6133958\",\n \"0.61336994\",\n \"0.6133341\",\n \"0.6132636\",\n \"0.61279833\",\n \"0.6125498\",\n \"0.61208767\",\n \"0.61016905\",\n \"0.6099543\",\n \"0.60916156\",\n \"0.60807264\",\n \"0.6074594\",\n \"0.60628307\",\n \"0.6052652\",\n \"0.6028549\",\n \"0.6023051\",\n \"0.6019656\",\n \"0.60066575\",\n \"0.60054815\",\n \"0.6000872\",\n \"0.5995859\",\n \"0.59925216\",\n \"0.5985499\",\n \"0.59841764\",\n \"0.59817123\",\n \"0.597723\",\n \"0.5975889\",\n \"0.5968981\",\n \"0.5963821\",\n \"0.5958402\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119397,"cells":{"query":{"kind":"string","value":"Test case number: 144 /Coverage entropy=0.6755920761612467"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test144() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"5cQTy)'}7dbx*p1q4\");\n Token token0 = xPathLexer0.nextToken();\n assertEquals(30, token0.getTokenType());\n assertEquals(\"5\", token0.getTokenText());\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test025() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test110() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test007() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setNumericPriorsFromBuffer();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test114() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertEquals(2, doubleArray0.length);\n assertNotNull(doubleArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test050() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderPRC((-1));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test108() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.avgCost();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test118() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test40() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\n }","@Test(timeout = 4000)\n public void test120() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctIncorrect();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test113() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(false);\n assertEquals(\"=== Summary ===\\n\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n }","@Test(timeout = 4000)\n public void test117() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test119() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString((String) null, true);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(\"null\\nTotal Number of Instances 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test086() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test17() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test085() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test083() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }","@Override\n protected long getTestSolution() {\n return 100024;\n }","@Test(timeout = 4000)\n public void test031() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives((-1436));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test122() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"Y#:')*#rI\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numInstances();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test121() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toClassDetailsString();\n assertEquals(\"=== Detailed Accuracy By Class ===\\n\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test024() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test013() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test106() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setDiscardPredictions(false);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n }","@Test\n public void test36() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.incorrect();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l*{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test\n @Tag(\"slow\")\n public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test068() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(360, (-336.251));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test16() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.SFSchemeEntropy();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","public void testSummaryStatsPartialLog() {\n\n // TODO: Create File in platform independent way.\n File testFile = new File(\"src/test/data/dataset98.txt\");\n GcManager gcManager = new GcManager();\n File preprocessedFile = gcManager.preprocess(testFile, null);\n gcManager.store(preprocessedFile, false);\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\n Assert.assertEquals(\"GC event type count not correct.\", 2, jvmRun.getEventTypes().size());\n Assert.assertEquals(\"GC blocking event count not correct.\", 2, jvmRun.getBlockingEventCount());\n Assert.assertEquals(\"GC pause total not correct.\", 61, jvmRun.getTotalGcPause());\n Assert.assertEquals(\"GC first timestamp not correct.\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last timestamp not correct.\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last duration not correct.\", 41, jvmRun.getLastGcEvent().getDuration());\n Assert.assertEquals(\"Stopped Time event count not correct.\", 6, jvmRun.getStoppedTimeEventCount());\n Assert.assertEquals(\"Stopped time total not correct.\", 1064, jvmRun.getTotalStoppedTime());\n Assert.assertEquals(\"Stopped first timestamp not correct.\", 1000964,\n jvmRun.getFirstStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last timestamp not correct.\", 1003884,\n jvmRun.getLastStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last duration not correct.\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\n Assert.assertEquals(\"JVM first event timestamp not correct.\", 1000964, jvmRun.getFirstEvent().getTimestamp());\n Assert.assertEquals(\"JVM last event timestamp not correct.\", 1003884, jvmRun.getLastEvent().getTimestamp());\n Assert.assertEquals(\"JVM run duration not correct.\", 3920, jvmRun.getJvmRunDuration());\n Assert.assertEquals(\"GC throughput not correct.\", 98, jvmRun.getGcThroughput());\n Assert.assertEquals(\"Stopped time throughput not correct.\", 73, jvmRun.getStoppedTimeThroughput());\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \" analysis not identified.\",\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\n }","@Test(timeout = 4000)\n public void test087() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test35() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test084() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test109() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test36() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\n Attribute attribute0 = new Attribute(\"-\", \"-\", protectedProperties1);\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"(,Z;Xp#\\\"dxq[\", arrayList0, 1587);\n boolean boolean0 = discretize0.setInputFormat(instances0);\n boolean boolean1 = discretize0.batchFinished();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertTrue(boolean1 == boolean0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(boolean1);\n }","@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test048() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC(17);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test24() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n byte[] byteArray0 = new byte[3];\n byteArray0[0] = (byte)108;\n byteArray0[1] = (byte)27;\n byteArray0[2] = (byte)14;\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\n discretize0.setBins((-830));\n discretize0.getOptions();\n assertEquals((-830), discretize0.getBins());\n }","@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }","@Test\n @Tag(\"slow\")\n public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", NumberContext.of(7, 4));\n }","@Test\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test011() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unclassified();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test12() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.getRevision();\n assertEquals(\"8964\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n public void test13() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test022() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.toMatrixString(\"getPreBuiltClassifiers\");\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.makeBinaryTipText();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"Make resulting attributes binary.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize(\"'B1of2'\");\n int[] intArray0 = new int[8];\n intArray0[0] = 18;\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"'B1of2'\");\n discretize0.listOptions();\n String[] stringArray0 = discretize0.getOptions();\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(6, stringArray0.length);\n }","@Test(timeout = 4000)\n public void test021() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(\"\", false);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getBinRangesString(2607);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test\n @Tag(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\n }","@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }","@Test\n public void test19() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBInformation();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n discretize0.m_UseEqualFrequency = true;\n discretize0.getOptions();\n assertTrue(discretize0.getMakeBinary());\n \n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test051() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test01() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test082() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\" -1 0 \\n\", string0);\n }","@Test\n public void test30() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertFalse(boolean0);\n }","@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test19() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getCutPoints((-2276));\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize(\"\\tInvert matching sense of column indexes.\");\n discretize0.setOutputFormat();\n discretize0.listOptions();\n Discretize discretize1 = new Discretize();\n discretize1.setIgnoreClass(false);\n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\\tInvert matching sense of column indexes.\";\n stringArray0[1] = \"\";\n Discretize.main(stringArray0);\n String string0 = discretize1.findNumBinsTipText();\n assertEquals(\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\", string0);\n \n discretize1.setInvertSelection(false);\n discretize0.getBinRangesString(511);\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n \n discretize1.getFindNumBins();\n assertEquals(10, discretize1.getBins());\n }","@Test(timeout = 4000)\n public void test070() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test036() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\n assertNotNull(doubleArray0);\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","public void testLiangFigure6() {\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\n\n for (int i = 0; i < ntimes - 1; i++) {\n cases[i][0] = a[i];\n cases[i][1] = b[i];\n cases[i][2] = c[i];\n cases[i + 1][3] = ap[i];\n cases[i + 1][4] = bp[i];\n cases[i + 1][5] = cp[i];\n }\n cases[8][0] = 0;\n cases[8][1] = 0;\n cases[8][2] = 0;\n cases[0][3] = 0;\n cases[0][4] = 0;\n cases[0][5] = 0;\n\n RevealEvaluator re = new RevealEvaluator(cases);\n\n double rea = re.entropy(a);\n assertEquals(1.0, rea, TOLERANCE);\n System.out.println(\"H(a) = \" + rea); //Should be 1.0\n\n double reb = re.entropy(b);\n assertEquals(1.0, reb, TOLERANCE);\n System.out.println(\"H(b) = \" + reb); //Should be 1.0\n\n double rec = re.entropy(c);\n assertEquals(1.0, rec, TOLERANCE);\n System.out.println(\"H(c) = \" + rec); //Should be 1.0\n\n double reab = re.jointEntropy(a, b);\n assertEquals(2.0, reab, TOLERANCE);\n System.out.println(\"H(a,b) = \" + reab); //Should be 2.0\n\n double reap = re.entropy(ap);\n assertEquals(1.0, reap, TOLERANCE);\n System.out.println(\"H(ap) = \" + reap); //Should be 1.0\n\n double rebp = re.entropy(bp);\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\n System.out.println(\"H(bp) = \" + rebp); //Should be 0.8112781244591328\n\n double recp = re.entropy(cp);\n assertEquals(1.0, recp, TOLERANCE);\n System.out.println(\"H(cp) = \" + recp); //Should be 1.0\n\n double reapa = re.jointEntropy(ap, a);\n assertEquals(2.0, reapa, TOLERANCE);\n System.out.println(\"H(ap, a) = \" + reapa); //Should be 2.0\n\n double rebpb = re.jointEntropy(bp, b);\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\n System.out.println(\n \"H(bp, b) = \" + rebpb); //Should be 1.8112781244591327\n\n double recpb = re.jointEntropy(cp, b);\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\n System.out.println(\n \"H(cp, b) = \" + recpb); //Should be 1.8112781244591327\n\n int[][] ab = new int[2][8];\n for (int i = 0; i < 8; i++) {\n ab[0][i] = a[i];\n ab[1][i] = b[i];\n }\n\n double rebpab = re.jointEntropy(bp, ab);\n assertEquals(2.5, rebpab, TOLERANCE);\n System.out.println(\"H(bp, a, b) = \" + rebpab); //Should be 2.5\n\n double recpab = re.jointEntropy(cp, ab);\n assertEquals(2.5, recpab, TOLERANCE);\n System.out.println(\"H(cp, a, b) = \" + recpab); //Should be 2.5\n\n int[][] abc = new int[3][8];\n for (int i = 0; i < 8; i++) {\n abc[0][i] = a[i];\n abc[1][i] = b[i];\n abc[2][i] = c[i];\n }\n\n double recpabc = re.jointEntropy(cp, abc);\n assertEquals(3.0, recpabc, TOLERANCE);\n System.out.println(\"H(cp, a, b, c) = \" + recpabc); //Should be 3.0\n\n //Setup array cases and test mutualInformation\n int[] p = new int[1];\n p[0] = 0;\n\n double rembpa = re.mutualInformation(4, p, 1);\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\n System.out.println(\n \"M(Bp, A) = \" + rembpa); //Should be 0.31127812445913294\n\n int[] pp = new int[2];\n pp[0] = 0;\n pp[1] = 1;\n\n double rmcpab = re.mutualInformation(5, pp, 1);\n assertEquals(0.5, rmcpab, TOLERANCE);\n System.out.println(\"M(Cp, [A,B]) = \" + rmcpab); //Should be 0.5\n\n int[] ppp = new int[3];\n ppp[0] = 0;\n ppp[1] = 1;\n ppp[2] = 2;\n\n double rmcpabc = re.mutualInformation(5, ppp, 1);\n assertEquals(1.0, rmcpabc, TOLERANCE);\n System.out.println(\"M(Cp, [A,B,C]) = \" + rmcpabc); //Should be 1.0\n\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n int[] intArray0 = new int[6];\n intArray0[0] = (-388);\n intArray0[1] = (-2121610348);\n intArray0[2] = 11;\n intArray0[3] = (-1);\n intArray0[4] = 1062;\n intArray0[5] = 70;\n discretize0.setAttributeIndicesArray(intArray0);\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\n discretize0.getOptions();\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testSCRS8() {\n CuteNetlibCase.doTest(\"SCRS8.SIF\", \"960.0206152764557\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_13() {\n CuteNetlibCase.doTest(\"KEN-13.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test144() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getDefaultMeanWidth();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n resultMatrixSignificance0.setCountWidth(1);\n intArray0[1] = 0;\n intArray0[2] = 0;\n resultMatrixSignificance0.m_RowOrder = intArray0;\n resultMatrixSignificance0.getSignificance(0, 322);\n int int1 = resultMatrixSignificance0.getSignificanceWidth();\n assertEquals(1, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, int1);\n }","@Test(timeout = 4000)\n public void test01() throws Throwable {\n Discretize discretize0 = new Discretize(\"c9^n/\");\n discretize0.getCapabilities();\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test28() throws Throwable {\n Discretize discretize0 = new Discretize();\n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n doubleArray2[5] = (-236.4995664359);\n doubleArray2[7] = 1421.4058829;\n doubleArray0[3] = doubleArray2;\n double[] doubleArray3 = new double[3];\n doubleArray3[0] = 0.0;\n doubleArray3[1] = (-236.4995664359);\n doubleArray0[4] = doubleArray3;\n double[] doubleArray4 = new double[21];\n doubleArray4[0] = 1421.4058829;\n doubleArray3[2] = (-236.4995664359);\n doubleArray4[4] = 1.7976931348623157E308;\n doubleArray0[7] = doubleArray4;\n discretize0.m_NumBins = 162;\n doubleArray0[1] = doubleArray4;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.getBinRangesString(1);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test\n @Tag(\"bm1000\")\n public void testSC205() {\n CuteNetlibCase.doTest(\"SC205.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test072() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateMargins(doubleArray0, 3, (-1));\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test16() throws Throwable {\n Discretize discretize0 = new Discretize();\n String[] stringArray0 = discretize0.getOptions();\n discretize0.setOptions(stringArray0);\n assertEquals(6, stringArray0.length);\n \n String string0 = discretize0.globalInfo();\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. Discretization is by simple binning. Skips the class attribute if set.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testD2Q06C() {\n CuteNetlibCase.doTest(\"D2Q06C.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testMODSZK1() {\n CuteNetlibCase.doTest(\"MODSZK1.SIF\", \"320.6197293824883\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSC105() {\n CuteNetlibCase.doTest(\"SC105.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test041() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.fMeasure((-2765));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void run () {\n\t \n\t System.out.println(\"---------->\");\n\t //System.out.println(md5list.getResult());\n\t //System.out.println(hashsearch.getResult());\n\t \n\t \n\t \n\t // System.out.println(samples.Testing());\n\t //System.out.println(\"getserult: \"+samples.getResult());\n\t \n }","@Test(timeout = 4000)\n public void test35() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n Attribute attribute0 = new Attribute(\"invalid CVS revision - not dots!\");\n attribute0.setWeight(0.0);\n Attribute.typeToString(attribute0);\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"UR<dj;O\", arrayList0, 3);\n Instances instances1 = new Instances(instances0);\n boolean boolean0 = discretize0.setInputFormat(instances1);\n assertFalse(boolean0);\n \n String[] stringArray0 = new String[3];\n stringArray0[0] = \".bsi\";\n stringArray0[1] = \"invalid CVS revision - not dots!\";\n stringArray0[2] = \"@end\";\n discretize0.setOptions(stringArray0);\n discretize0.setOptions(stringArray0);\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n }","@Test(timeout = 4000)\n public void test09() throws Throwable {\n Discretize discretize0 = new Discretize(\"*W5D<hSCW|8@I\");\n int[] intArray0 = new int[9];\n intArray0[0] = (-1405);\n intArray0[1] = (-2938);\n intArray0[2] = (-1954);\n intArray0[3] = 9;\n intArray0[4] = 66;\n intArray0[5] = 573;\n intArray0[6] = 0;\n intArray0[7] = (-71);\n intArray0[8] = 99;\n discretize0.setAttributeIndicesArray(intArray0);\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void test25FV47() {\n CuteNetlibCase.doTest(\"25FV47.SIF\", \"5501.845888286646\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test23() throws Throwable {\n Discretize discretize0 = new Discretize(\"#gS@ID)j\");\n discretize0.m_ClassIndex = 178;\n double[] doubleArray0 = new double[3];\n doubleArray0[0] = (double) 178;\n discretize0.m_UseEqualFrequency = true;\n doubleArray0[2] = (double) 178;\n doubleArray0[2] = (double) 178;\n Discretize discretize1 = new Discretize(\"#gS@ID)j\");\n assertFalse(discretize1.getUseEqualFrequency());\n \n discretize0.getOptions();\n assertTrue(discretize0.getUseEqualFrequency());\n }"],"string":"[\n \"@Test(timeout = 4000)\\n public void test126() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.totalCost();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test112() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getHeader();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test025() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test110() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test007() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setNumericPriorsFromBuffer();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test114() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertEquals(2, doubleArray0.length);\\n assertNotNull(doubleArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderPRC((-1));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test108() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.avgCost();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test118() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n \\n evaluation0.useNoPriors();\\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test116() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test40() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test120() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test117() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test29() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.pctCorrect();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test119() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test012() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.priorEntropy();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test086() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test17() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test085() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test083() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\n }\",\n \"@Test(timeout = 4000)\\n public void test031() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives((-1436));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test122() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"Y#:')*#rI\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numInstances();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test121() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toClassDetailsString();\\n assertEquals(\\\"=== Detailed Accuracy By Class ===\\\\n\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test024() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test013() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test106() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setDiscardPredictions(false);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n }\",\n \"@Test\\n public void test36() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.incorrect();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"l*{e5SNh\\\");\\n boolean boolean0 = true;\\n discretize0.m_ClassIndex = 177;\\n discretize0.setUseEqualFrequency(true);\\n double[][] doubleArray0 = new double[5][9];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[0] = (double) 177;\\n doubleArray1[1] = (double) 177;\\n doubleArray1[2] = (double) 177;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[2];\\n doubleArray2[0] = (double) 177;\\n doubleArray2[1] = (double) 177;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[9];\\n doubleArray3[0] = (double) 177;\\n doubleArray3[1] = (double) 177;\\n doubleArray3[2] = (double) 177;\\n doubleArray3[3] = (double) 177;\\n doubleArray3[4] = (double) 177;\\n doubleArray3[5] = (double) 177;\\n doubleArray3[6] = (double) 177;\\n doubleArray3[7] = (double) 177;\\n doubleArray3[8] = (double) 177;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[8];\\n doubleArray4[0] = (double) 177;\\n doubleArray4[1] = (double) 177;\\n doubleArray4[2] = (double) 177;\\n doubleArray4[3] = (double) 177;\\n doubleArray4[4] = (double) 177;\\n doubleArray4[5] = (double) 177;\\n doubleArray4[6] = (double) 177;\\n doubleArray4[7] = (double) 177;\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[0];\\n doubleArray0[4] = doubleArray5;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.listOptions();\\n discretize0.setIgnoreClass(true);\\n String[] stringArray0 = new String[0];\\n Discretize.main(stringArray0);\\n discretize0.findNumBinsTipText();\\n discretize0.setInvertSelection(true);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(511);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 511\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(360, (-336.251));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test16() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.SFSchemeEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"public void testSummaryStatsPartialLog() {\\n\\n // TODO: Create File in platform independent way.\\n File testFile = new File(\\\"src/test/data/dataset98.txt\\\");\\n GcManager gcManager = new GcManager();\\n File preprocessedFile = gcManager.preprocess(testFile, null);\\n gcManager.store(preprocessedFile, false);\\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\\n Assert.assertEquals(\\\"GC event type count not correct.\\\", 2, jvmRun.getEventTypes().size());\\n Assert.assertEquals(\\\"GC blocking event count not correct.\\\", 2, jvmRun.getBlockingEventCount());\\n Assert.assertEquals(\\\"GC pause total not correct.\\\", 61, jvmRun.getTotalGcPause());\\n Assert.assertEquals(\\\"GC first timestamp not correct.\\\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last timestamp not correct.\\\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last duration not correct.\\\", 41, jvmRun.getLastGcEvent().getDuration());\\n Assert.assertEquals(\\\"Stopped Time event count not correct.\\\", 6, jvmRun.getStoppedTimeEventCount());\\n Assert.assertEquals(\\\"Stopped time total not correct.\\\", 1064, jvmRun.getTotalStoppedTime());\\n Assert.assertEquals(\\\"Stopped first timestamp not correct.\\\", 1000964,\\n jvmRun.getFirstStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last timestamp not correct.\\\", 1003884,\\n jvmRun.getLastStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last duration not correct.\\\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\\n Assert.assertEquals(\\\"JVM first event timestamp not correct.\\\", 1000964, jvmRun.getFirstEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM last event timestamp not correct.\\\", 1003884, jvmRun.getLastEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM run duration not correct.\\\", 3920, jvmRun.getJvmRunDuration());\\n Assert.assertEquals(\\\"GC throughput not correct.\\\", 98, jvmRun.getGcThroughput());\\n Assert.assertEquals(\\\"Stopped time throughput not correct.\\\", 73, jvmRun.getStoppedTimeThroughput());\\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \\\" analysis not identified.\\\",\\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\\n }\",\n \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test35() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(Double.NaN, double0, 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test084() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test109() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertFalse(boolean0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test36() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\\n Attribute attribute0 = new Attribute(\\\"-\\\", \\\"-\\\", protectedProperties1);\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"(,Z;Xp#\\\\\\\"dxq[\\\", arrayList0, 1587);\\n boolean boolean0 = discretize0.setInputFormat(instances0);\\n boolean boolean1 = discretize0.batchFinished();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertTrue(boolean1 == boolean0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(boolean1);\\n }\",\n \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(2, doubleArray0.length);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test048() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC(17);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n byte[] byteArray0 = new byte[3];\\n byteArray0[0] = (byte)108;\\n byteArray0[1] = (byte)27;\\n byteArray0[2] = (byte)14;\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n discretize0.setBins((-830));\\n discretize0.getOptions();\\n assertEquals((-830), discretize0.getBins());\\n }\",\n \"@Test\\n public void test33() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test093() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n Object[] objectArray0 = new Object[2];\\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test074() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test011() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.unclassified();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test026() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.recall((-9));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.getRevision();\\n assertEquals(\\\"8964\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n public void test13() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test022() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.toMatrixString(\\\"getPreBuiltClassifiers\\\");\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.makeBinaryTipText();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"Make resulting attributes binary.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"'B1of2'\\\");\\n int[] intArray0 = new int[8];\\n intArray0[0] = 18;\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"'B1of2'\\\");\\n discretize0.listOptions();\\n String[] stringArray0 = discretize0.getOptions();\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(6, stringArray0.length);\\n }\",\n \"@Test(timeout = 4000)\\n public void test021() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(\\\"\\\", false);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getBinRangesString(2607);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test18() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test103() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test\\n public void test19() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBInformation();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_UseEqualFrequency = true;\\n discretize0.getOptions();\\n assertTrue(discretize0.getMakeBinary());\\n \\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test051() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test01() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n }\",\n \"@Test\\n public void test30() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertFalse(boolean0);\\n }\",\n \"@Test\\n public void test22() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FastVector fastVector0 = evaluation0.predictions();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n public void test21() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.errorRate();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getCutPoints((-2276));\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\\tInvert matching sense of column indexes.\\\");\\n discretize0.setOutputFormat();\\n discretize0.listOptions();\\n Discretize discretize1 = new Discretize();\\n discretize1.setIgnoreClass(false);\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\\tInvert matching sense of column indexes.\\\";\\n stringArray0[1] = \\\"\\\";\\n Discretize.main(stringArray0);\\n String string0 = discretize1.findNumBinsTipText();\\n assertEquals(\\\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\\\", string0);\\n \\n discretize1.setInvertSelection(false);\\n discretize0.getBinRangesString(511);\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n \\n discretize1.getFindNumBins();\\n assertEquals(10, discretize1.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test070() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\\n assertNotNull(doubleArray0);\\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"public void testLiangFigure6() {\\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\\n\\n for (int i = 0; i < ntimes - 1; i++) {\\n cases[i][0] = a[i];\\n cases[i][1] = b[i];\\n cases[i][2] = c[i];\\n cases[i + 1][3] = ap[i];\\n cases[i + 1][4] = bp[i];\\n cases[i + 1][5] = cp[i];\\n }\\n cases[8][0] = 0;\\n cases[8][1] = 0;\\n cases[8][2] = 0;\\n cases[0][3] = 0;\\n cases[0][4] = 0;\\n cases[0][5] = 0;\\n\\n RevealEvaluator re = new RevealEvaluator(cases);\\n\\n double rea = re.entropy(a);\\n assertEquals(1.0, rea, TOLERANCE);\\n System.out.println(\\\"H(a) = \\\" + rea); //Should be 1.0\\n\\n double reb = re.entropy(b);\\n assertEquals(1.0, reb, TOLERANCE);\\n System.out.println(\\\"H(b) = \\\" + reb); //Should be 1.0\\n\\n double rec = re.entropy(c);\\n assertEquals(1.0, rec, TOLERANCE);\\n System.out.println(\\\"H(c) = \\\" + rec); //Should be 1.0\\n\\n double reab = re.jointEntropy(a, b);\\n assertEquals(2.0, reab, TOLERANCE);\\n System.out.println(\\\"H(a,b) = \\\" + reab); //Should be 2.0\\n\\n double reap = re.entropy(ap);\\n assertEquals(1.0, reap, TOLERANCE);\\n System.out.println(\\\"H(ap) = \\\" + reap); //Should be 1.0\\n\\n double rebp = re.entropy(bp);\\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\\n System.out.println(\\\"H(bp) = \\\" + rebp); //Should be 0.8112781244591328\\n\\n double recp = re.entropy(cp);\\n assertEquals(1.0, recp, TOLERANCE);\\n System.out.println(\\\"H(cp) = \\\" + recp); //Should be 1.0\\n\\n double reapa = re.jointEntropy(ap, a);\\n assertEquals(2.0, reapa, TOLERANCE);\\n System.out.println(\\\"H(ap, a) = \\\" + reapa); //Should be 2.0\\n\\n double rebpb = re.jointEntropy(bp, b);\\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\\n System.out.println(\\n \\\"H(bp, b) = \\\" + rebpb); //Should be 1.8112781244591327\\n\\n double recpb = re.jointEntropy(cp, b);\\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\\n System.out.println(\\n \\\"H(cp, b) = \\\" + recpb); //Should be 1.8112781244591327\\n\\n int[][] ab = new int[2][8];\\n for (int i = 0; i < 8; i++) {\\n ab[0][i] = a[i];\\n ab[1][i] = b[i];\\n }\\n\\n double rebpab = re.jointEntropy(bp, ab);\\n assertEquals(2.5, rebpab, TOLERANCE);\\n System.out.println(\\\"H(bp, a, b) = \\\" + rebpab); //Should be 2.5\\n\\n double recpab = re.jointEntropy(cp, ab);\\n assertEquals(2.5, recpab, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b) = \\\" + recpab); //Should be 2.5\\n\\n int[][] abc = new int[3][8];\\n for (int i = 0; i < 8; i++) {\\n abc[0][i] = a[i];\\n abc[1][i] = b[i];\\n abc[2][i] = c[i];\\n }\\n\\n double recpabc = re.jointEntropy(cp, abc);\\n assertEquals(3.0, recpabc, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b, c) = \\\" + recpabc); //Should be 3.0\\n\\n //Setup array cases and test mutualInformation\\n int[] p = new int[1];\\n p[0] = 0;\\n\\n double rembpa = re.mutualInformation(4, p, 1);\\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\\n System.out.println(\\n \\\"M(Bp, A) = \\\" + rembpa); //Should be 0.31127812445913294\\n\\n int[] pp = new int[2];\\n pp[0] = 0;\\n pp[1] = 1;\\n\\n double rmcpab = re.mutualInformation(5, pp, 1);\\n assertEquals(0.5, rmcpab, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B]) = \\\" + rmcpab); //Should be 0.5\\n\\n int[] ppp = new int[3];\\n ppp[0] = 0;\\n ppp[1] = 1;\\n ppp[2] = 2;\\n\\n double rmcpabc = re.mutualInformation(5, ppp, 1);\\n assertEquals(1.0, rmcpabc, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B,C]) = \\\" + rmcpabc); //Should be 1.0\\n\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n int[] intArray0 = new int[6];\\n intArray0[0] = (-388);\\n intArray0[1] = (-2121610348);\\n intArray0[2] = 11;\\n intArray0[3] = (-1);\\n intArray0[4] = 1062;\\n intArray0[5] = 70;\\n discretize0.setAttributeIndicesArray(intArray0);\\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\\n discretize0.getOptions();\\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_13() {\\n CuteNetlibCase.doTest(\\\"KEN-13.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test144() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n Vector<Integer> vector0 = new Vector<Integer>();\\n resultMatrixSignificance0.m_HeaderKeys = vector0;\\n vector0.add((Integer) 0);\\n resultMatrixSignificance0.getDefaultMeanWidth();\\n resultMatrixSignificance0.getRevision();\\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\\n int[] intArray0 = new int[3];\\n intArray0[0] = 1;\\n resultMatrixSignificance0.setCountWidth(1);\\n intArray0[1] = 0;\\n intArray0[2] = 0;\\n resultMatrixSignificance0.m_RowOrder = intArray0;\\n resultMatrixSignificance0.getSignificance(0, 322);\\n int int1 = resultMatrixSignificance0.getSignificanceWidth();\\n assertEquals(1, resultMatrixSignificance0.getCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, int1);\\n }\",\n \"@Test(timeout = 4000)\\n public void test01() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"c9^n/\\\");\\n discretize0.getCapabilities();\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n doubleArray2[5] = (-236.4995664359);\\n doubleArray2[7] = 1421.4058829;\\n doubleArray0[3] = doubleArray2;\\n double[] doubleArray3 = new double[3];\\n doubleArray3[0] = 0.0;\\n doubleArray3[1] = (-236.4995664359);\\n doubleArray0[4] = doubleArray3;\\n double[] doubleArray4 = new double[21];\\n doubleArray4[0] = 1421.4058829;\\n doubleArray3[2] = (-236.4995664359);\\n doubleArray4[4] = 1.7976931348623157E308;\\n doubleArray0[7] = doubleArray4;\\n discretize0.m_NumBins = 162;\\n doubleArray0[1] = doubleArray4;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.getBinRangesString(1);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test072() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateMargins(doubleArray0, 3, (-1));\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test16() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String[] stringArray0 = discretize0.getOptions();\\n discretize0.setOptions(stringArray0);\\n assertEquals(6, stringArray0.length);\\n \\n String string0 = discretize0.globalInfo();\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. Discretization is by simple binning. Skips the class attribute if set.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testD2Q06C() {\\n CuteNetlibCase.doTest(\\\"D2Q06C.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testMODSZK1() {\\n CuteNetlibCase.doTest(\\\"MODSZK1.SIF\\\", \\\"320.6197293824883\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC105() {\\n CuteNetlibCase.doTest(\\\"SC105.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test041() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.fMeasure((-2765));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void run () {\\n\\t \\n\\t System.out.println(\\\"---------->\\\");\\n\\t //System.out.println(md5list.getResult());\\n\\t //System.out.println(hashsearch.getResult());\\n\\t \\n\\t \\n\\t \\n\\t // System.out.println(samples.Testing());\\n\\t //System.out.println(\\\"getserult: \\\"+samples.getResult());\\n\\t \\n }\",\n \"@Test(timeout = 4000)\\n public void test35() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n Attribute attribute0 = new Attribute(\\\"invalid CVS revision - not dots!\\\");\\n attribute0.setWeight(0.0);\\n Attribute.typeToString(attribute0);\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"UR<dj;O\\\", arrayList0, 3);\\n Instances instances1 = new Instances(instances0);\\n boolean boolean0 = discretize0.setInputFormat(instances1);\\n assertFalse(boolean0);\\n \\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\".bsi\\\";\\n stringArray0[1] = \\\"invalid CVS revision - not dots!\\\";\\n stringArray0[2] = \\\"@end\\\";\\n discretize0.setOptions(stringArray0);\\n discretize0.setOptions(stringArray0);\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test09() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"*W5D<hSCW|8@I\\\");\\n int[] intArray0 = new int[9];\\n intArray0[0] = (-1405);\\n intArray0[1] = (-2938);\\n intArray0[2] = (-1954);\\n intArray0[3] = 9;\\n intArray0[4] = 66;\\n intArray0[5] = 573;\\n intArray0[6] = 0;\\n intArray0[7] = (-71);\\n intArray0[8] = 99;\\n discretize0.setAttributeIndicesArray(intArray0);\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void test25FV47() {\\n CuteNetlibCase.doTest(\\\"25FV47.SIF\\\", \\\"5501.845888286646\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test23() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"#gS@ID)j\\\");\\n discretize0.m_ClassIndex = 178;\\n double[] doubleArray0 = new double[3];\\n doubleArray0[0] = (double) 178;\\n discretize0.m_UseEqualFrequency = true;\\n doubleArray0[2] = (double) 178;\\n doubleArray0[2] = (double) 178;\\n Discretize discretize1 = new Discretize(\\\"#gS@ID)j\\\");\\n assertFalse(discretize1.getUseEqualFrequency());\\n \\n discretize0.getOptions();\\n assertTrue(discretize0.getUseEqualFrequency());\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.73754734","0.73446894","0.692218","0.6893728","0.6862948","0.6846098","0.6831501","0.68138367","0.6795996","0.67894167","0.6771673","0.6765396","0.6759131","0.6757875","0.6741672","0.6688123","0.6683983","0.6679795","0.6664046","0.6638435","0.6604146","0.6604128","0.6568512","0.65615344","0.65587866","0.65310514","0.65287006","0.651854","0.6503532","0.64940953","0.64925","0.64891523","0.6488815","0.6469505","0.64524245","0.6440321","0.642907","0.64250153","0.6422924","0.6419584","0.6407186","0.64006406","0.6397565","0.63964164","0.6374754","0.636351","0.6357755","0.63378584","0.6334739","0.6331065","0.6329713","0.63141054","0.6309582","0.6301457","0.6282982","0.628211","0.6274675","0.62688506","0.6260394","0.6237877","0.62368554","0.6227112","0.6225541","0.62237316","0.62069416","0.6199671","0.6192509","0.61865485","0.618483","0.61799884","0.6168155","0.61665654","0.6161725","0.615944","0.61501","0.6145299","0.61296535","0.6129134","0.6125382","0.61161965","0.61079973","0.6107429","0.61062676","0.6101215","0.60972166","0.60880166","0.60869867","0.6082493","0.60791093","0.6063941","0.6060127","0.60547644","0.60459644","0.604321","0.6036507","0.60358125","0.60357726","0.60321784","0.6024774","0.60101694","0.6005117"],"string":"[\n \"0.73754734\",\n \"0.73446894\",\n \"0.692218\",\n \"0.6893728\",\n \"0.6862948\",\n \"0.6846098\",\n \"0.6831501\",\n \"0.68138367\",\n \"0.6795996\",\n \"0.67894167\",\n \"0.6771673\",\n \"0.6765396\",\n \"0.6759131\",\n \"0.6757875\",\n \"0.6741672\",\n \"0.6688123\",\n \"0.6683983\",\n \"0.6679795\",\n \"0.6664046\",\n \"0.6638435\",\n \"0.6604146\",\n \"0.6604128\",\n \"0.6568512\",\n \"0.65615344\",\n \"0.65587866\",\n \"0.65310514\",\n \"0.65287006\",\n \"0.651854\",\n \"0.6503532\",\n \"0.64940953\",\n \"0.64925\",\n \"0.64891523\",\n \"0.6488815\",\n \"0.6469505\",\n \"0.64524245\",\n \"0.6440321\",\n \"0.642907\",\n \"0.64250153\",\n \"0.6422924\",\n \"0.6419584\",\n \"0.6407186\",\n \"0.64006406\",\n \"0.6397565\",\n \"0.63964164\",\n \"0.6374754\",\n \"0.636351\",\n \"0.6357755\",\n \"0.63378584\",\n \"0.6334739\",\n \"0.6331065\",\n \"0.6329713\",\n \"0.63141054\",\n \"0.6309582\",\n \"0.6301457\",\n \"0.6282982\",\n \"0.628211\",\n \"0.6274675\",\n \"0.62688506\",\n \"0.6260394\",\n \"0.6237877\",\n \"0.62368554\",\n \"0.6227112\",\n \"0.6225541\",\n \"0.62237316\",\n \"0.62069416\",\n \"0.6199671\",\n \"0.6192509\",\n \"0.61865485\",\n \"0.618483\",\n \"0.61799884\",\n \"0.6168155\",\n \"0.61665654\",\n \"0.6161725\",\n \"0.615944\",\n \"0.61501\",\n \"0.6145299\",\n \"0.61296535\",\n \"0.6129134\",\n \"0.6125382\",\n \"0.61161965\",\n \"0.61079973\",\n \"0.6107429\",\n \"0.61062676\",\n \"0.6101215\",\n \"0.60972166\",\n \"0.60880166\",\n \"0.60869867\",\n \"0.6082493\",\n \"0.60791093\",\n \"0.6063941\",\n \"0.6060127\",\n \"0.60547644\",\n \"0.60459644\",\n \"0.604321\",\n \"0.6036507\",\n \"0.60358125\",\n \"0.60357726\",\n \"0.60321784\",\n \"0.6024774\",\n \"0.60101694\",\n \"0.6005117\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119398,"cells":{"query":{"kind":"string","value":"Test case number: 145 /Coverage entropy=0.7123333326585803"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test145() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\">3C%Yk\");\n Token token0 = xPathLexer0.not();\n assertEquals(\">\", token0.getTokenText());\n assertEquals(23, token0.getTokenType());\n \n Token token1 = xPathLexer0.nextToken();\n assertEquals(30, token1.getTokenType());\n assertEquals(\"3\", token1.getTokenText());\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test050() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderPRC((-1));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test025() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test007() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setNumericPriorsFromBuffer();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test114() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertEquals(2, doubleArray0.length);\n assertNotNull(doubleArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test110() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test108() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.avgCost();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test17() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test120() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctIncorrect();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test083() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test117() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test118() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test40() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\n }","@Override\n protected long getTestSolution() {\n return 100024;\n }","@Test(timeout = 4000)\n public void test113() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(false);\n assertEquals(\"=== Summary ===\\n\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n }","@Test(timeout = 4000)\n public void test086() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test085() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test031() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives((-1436));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test013() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test119() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString((String) null, true);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(\"null\\nTotal Number of Instances 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test122() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"Y#:')*#rI\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numInstances();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test\n public void test36() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.incorrect();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test35() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }","@Test\n public void test16() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.SFSchemeEntropy();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test068() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(360, (-336.251));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test024() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test106() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setDiscardPredictions(false);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n }","@Test\n public void test13() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test084() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test121() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toClassDetailsString();\n assertEquals(\"=== Detailed Accuracy By Class ===\\n\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }","public void testLiangFigure6() {\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\n\n for (int i = 0; i < ntimes - 1; i++) {\n cases[i][0] = a[i];\n cases[i][1] = b[i];\n cases[i][2] = c[i];\n cases[i + 1][3] = ap[i];\n cases[i + 1][4] = bp[i];\n cases[i + 1][5] = cp[i];\n }\n cases[8][0] = 0;\n cases[8][1] = 0;\n cases[8][2] = 0;\n cases[0][3] = 0;\n cases[0][4] = 0;\n cases[0][5] = 0;\n\n RevealEvaluator re = new RevealEvaluator(cases);\n\n double rea = re.entropy(a);\n assertEquals(1.0, rea, TOLERANCE);\n System.out.println(\"H(a) = \" + rea); //Should be 1.0\n\n double reb = re.entropy(b);\n assertEquals(1.0, reb, TOLERANCE);\n System.out.println(\"H(b) = \" + reb); //Should be 1.0\n\n double rec = re.entropy(c);\n assertEquals(1.0, rec, TOLERANCE);\n System.out.println(\"H(c) = \" + rec); //Should be 1.0\n\n double reab = re.jointEntropy(a, b);\n assertEquals(2.0, reab, TOLERANCE);\n System.out.println(\"H(a,b) = \" + reab); //Should be 2.0\n\n double reap = re.entropy(ap);\n assertEquals(1.0, reap, TOLERANCE);\n System.out.println(\"H(ap) = \" + reap); //Should be 1.0\n\n double rebp = re.entropy(bp);\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\n System.out.println(\"H(bp) = \" + rebp); //Should be 0.8112781244591328\n\n double recp = re.entropy(cp);\n assertEquals(1.0, recp, TOLERANCE);\n System.out.println(\"H(cp) = \" + recp); //Should be 1.0\n\n double reapa = re.jointEntropy(ap, a);\n assertEquals(2.0, reapa, TOLERANCE);\n System.out.println(\"H(ap, a) = \" + reapa); //Should be 2.0\n\n double rebpb = re.jointEntropy(bp, b);\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\n System.out.println(\n \"H(bp, b) = \" + rebpb); //Should be 1.8112781244591327\n\n double recpb = re.jointEntropy(cp, b);\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\n System.out.println(\n \"H(cp, b) = \" + recpb); //Should be 1.8112781244591327\n\n int[][] ab = new int[2][8];\n for (int i = 0; i < 8; i++) {\n ab[0][i] = a[i];\n ab[1][i] = b[i];\n }\n\n double rebpab = re.jointEntropy(bp, ab);\n assertEquals(2.5, rebpab, TOLERANCE);\n System.out.println(\"H(bp, a, b) = \" + rebpab); //Should be 2.5\n\n double recpab = re.jointEntropy(cp, ab);\n assertEquals(2.5, recpab, TOLERANCE);\n System.out.println(\"H(cp, a, b) = \" + recpab); //Should be 2.5\n\n int[][] abc = new int[3][8];\n for (int i = 0; i < 8; i++) {\n abc[0][i] = a[i];\n abc[1][i] = b[i];\n abc[2][i] = c[i];\n }\n\n double recpabc = re.jointEntropy(cp, abc);\n assertEquals(3.0, recpabc, TOLERANCE);\n System.out.println(\"H(cp, a, b, c) = \" + recpabc); //Should be 3.0\n\n //Setup array cases and test mutualInformation\n int[] p = new int[1];\n p[0] = 0;\n\n double rembpa = re.mutualInformation(4, p, 1);\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\n System.out.println(\n \"M(Bp, A) = \" + rembpa); //Should be 0.31127812445913294\n\n int[] pp = new int[2];\n pp[0] = 0;\n pp[1] = 1;\n\n double rmcpab = re.mutualInformation(5, pp, 1);\n assertEquals(0.5, rmcpab, TOLERANCE);\n System.out.println(\"M(Cp, [A,B]) = \" + rmcpab); //Should be 0.5\n\n int[] ppp = new int[3];\n ppp[0] = 0;\n ppp[1] = 1;\n ppp[2] = 2;\n\n double rmcpabc = re.mutualInformation(5, ppp, 1);\n assertEquals(1.0, rmcpabc, TOLERANCE);\n System.out.println(\"M(Cp, [A,B,C]) = \" + rmcpabc); //Should be 1.0\n\n }","@Test\n @Tag(\"bm1000\")\n public void testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", NumberContext.of(7, 4));\n }","@Test\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test087() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test109() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test082() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\" -1 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test048() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC(17);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test022() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.toMatrixString(\"getPreBuiltClassifiers\");\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.makeBinaryTipText();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"Make resulting attributes binary.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getMakeBinary());\n }","public void testSummaryStatsPartialLog() {\n\n // TODO: Create File in platform independent way.\n File testFile = new File(\"src/test/data/dataset98.txt\");\n GcManager gcManager = new GcManager();\n File preprocessedFile = gcManager.preprocess(testFile, null);\n gcManager.store(preprocessedFile, false);\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\n Assert.assertEquals(\"GC event type count not correct.\", 2, jvmRun.getEventTypes().size());\n Assert.assertEquals(\"GC blocking event count not correct.\", 2, jvmRun.getBlockingEventCount());\n Assert.assertEquals(\"GC pause total not correct.\", 61, jvmRun.getTotalGcPause());\n Assert.assertEquals(\"GC first timestamp not correct.\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last timestamp not correct.\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last duration not correct.\", 41, jvmRun.getLastGcEvent().getDuration());\n Assert.assertEquals(\"Stopped Time event count not correct.\", 6, jvmRun.getStoppedTimeEventCount());\n Assert.assertEquals(\"Stopped time total not correct.\", 1064, jvmRun.getTotalStoppedTime());\n Assert.assertEquals(\"Stopped first timestamp not correct.\", 1000964,\n jvmRun.getFirstStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last timestamp not correct.\", 1003884,\n jvmRun.getLastStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last duration not correct.\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\n Assert.assertEquals(\"JVM first event timestamp not correct.\", 1000964, jvmRun.getFirstEvent().getTimestamp());\n Assert.assertEquals(\"JVM last event timestamp not correct.\", 1003884, jvmRun.getLastEvent().getTimestamp());\n Assert.assertEquals(\"JVM run duration not correct.\", 3920, jvmRun.getJvmRunDuration());\n Assert.assertEquals(\"GC throughput not correct.\", 98, jvmRun.getGcThroughput());\n Assert.assertEquals(\"Stopped time throughput not correct.\", 73, jvmRun.getStoppedTimeThroughput());\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \" analysis not identified.\",\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\n }","@Test(timeout = 4000)\n public void test051() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test011() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unclassified();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l*{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test\n @Tag(\"slow\")\n public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test070() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test12() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.getRevision();\n assertEquals(\"8964\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test24() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n byte[] byteArray0 = new byte[3];\n byteArray0[0] = (byte)108;\n byteArray0[1] = (byte)27;\n byteArray0[2] = (byte)14;\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\n discretize0.setBins((-830));\n discretize0.getOptions();\n assertEquals((-830), discretize0.getBins());\n }","@Test(timeout = 4000)\n public void test36() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\n Attribute attribute0 = new Attribute(\"-\", \"-\", protectedProperties1);\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"(,Z;Xp#\\\"dxq[\", arrayList0, 1587);\n boolean boolean0 = discretize0.setInputFormat(instances0);\n boolean boolean1 = discretize0.batchFinished();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertTrue(boolean1 == boolean0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(boolean1);\n }","@Test(timeout = 4000)\n public void test036() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\n assertNotNull(doubleArray0);\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test\n public void test19() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBInformation();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test\n public void test01() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", null, NumberContext.of(7, 4));\n }","@Test\n public void test30() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertFalse(boolean0);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test021() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(\"\", false);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getBinRangesString(2607);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test072() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateMargins(doubleArray0, 3, (-1));\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test041() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.fMeasure((-2765));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize(\"\\tInvert matching sense of column indexes.\");\n discretize0.setOutputFormat();\n discretize0.listOptions();\n Discretize discretize1 = new Discretize();\n discretize1.setIgnoreClass(false);\n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\\tInvert matching sense of column indexes.\";\n stringArray0[1] = \"\";\n Discretize.main(stringArray0);\n String string0 = discretize1.findNumBinsTipText();\n assertEquals(\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\", string0);\n \n discretize1.setInvertSelection(false);\n discretize0.getBinRangesString(511);\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n \n discretize1.getFindNumBins();\n assertEquals(10, discretize1.getBins());\n }","@Test(timeout = 4000)\n public void test144() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getDefaultMeanWidth();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n resultMatrixSignificance0.setCountWidth(1);\n intArray0[1] = 0;\n intArray0[2] = 0;\n resultMatrixSignificance0.m_RowOrder = intArray0;\n resultMatrixSignificance0.getSignificance(0, 322);\n int int1 = resultMatrixSignificance0.getSignificanceWidth();\n assertEquals(1, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, int1);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test049() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC((-1));\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize(\"'B1of2'\");\n int[] intArray0 = new int[8];\n intArray0[0] = 18;\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"'B1of2'\");\n discretize0.listOptions();\n String[] stringArray0 = discretize0.getOptions();\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(6, stringArray0.length);\n }","@Test(timeout = 4000)\n public void test19() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getCutPoints((-2276));\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","@Test\n @Tag(\"bm1000\")\n public void testSC205() {\n CuteNetlibCase.doTest(\"SC205.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testDEGEN2() {\n CuteNetlibCase.doTest(\"DEGEN2.SIF\", \"-1435.1779999999999\", \"-1226.12\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSC105() {\n CuteNetlibCase.doTest(\"SC105.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_13() {\n CuteNetlibCase.doTest(\"KEN-13.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test040() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.falseNegativeRate((-2));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n int[] intArray0 = new int[6];\n intArray0[0] = (-388);\n intArray0[1] = (-2121610348);\n intArray0[2] = 11;\n intArray0[3] = (-1);\n intArray0[4] = 1062;\n intArray0[5] = 70;\n discretize0.setAttributeIndicesArray(intArray0);\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\n discretize0.getOptions();\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test(timeout = 4000)\n public void test35() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n Attribute attribute0 = new Attribute(\"invalid CVS revision - not dots!\");\n attribute0.setWeight(0.0);\n Attribute.typeToString(attribute0);\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"UR<dj;O\", arrayList0, 3);\n Instances instances1 = new Instances(instances0);\n boolean boolean0 = discretize0.setInputFormat(instances1);\n assertFalse(boolean0);\n \n String[] stringArray0 = new String[3];\n stringArray0[0] = \".bsi\";\n stringArray0[1] = \"invalid CVS revision - not dots!\";\n stringArray0[2] = \"@end\";\n discretize0.setOptions(stringArray0);\n discretize0.setOptions(stringArray0);\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testSCRS8() {\n CuteNetlibCase.doTest(\"SCRS8.SIF\", \"960.0206152764557\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test027() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.precision((-1484));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n discretize0.m_UseEqualFrequency = true;\n discretize0.getOptions();\n assertTrue(discretize0.getMakeBinary());\n \n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test(timeout = 4000)\n public void test09() throws Throwable {\n Discretize discretize0 = new Discretize(\"*W5D<hSCW|8@I\");\n int[] intArray0 = new int[9];\n intArray0[0] = (-1405);\n intArray0[1] = (-2938);\n intArray0[2] = (-1954);\n intArray0[3] = 9;\n intArray0[4] = 66;\n intArray0[5] = 573;\n intArray0[6] = 0;\n intArray0[7] = (-71);\n intArray0[8] = 99;\n discretize0.setAttributeIndicesArray(intArray0);\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testD2Q06C() {\n CuteNetlibCase.doTest(\"D2Q06C.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"unstable\")\n @Tag(\"bm1000\")\n public void testTUFF() {\n CuteNetlibCase.doTest(\"TUFF.SIF\", \"0.29214776509361284\", \"0.8949901867574317\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test008() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.meanAbsoluteError();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void testCalculateNominationCuantity2() throws FileNotFoundException {\n System.out.println(\"testCalculateNominationCuantity 2\");\n double expResult = 125.0;\n double result = calc.getChange(124d, calc.calculateDenominationCuantity(124d));\n assertEquals(expResult, result);\n }"],"string":"[\n \"@Test(timeout = 4000)\\n public void test126() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.totalCost();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test112() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getHeader();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderPRC((-1));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test025() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test007() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setNumericPriorsFromBuffer();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test29() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.pctCorrect();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test114() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertEquals(2, doubleArray0.length);\\n assertNotNull(doubleArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test110() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test108() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.avgCost();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test17() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test120() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test083() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test117() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test116() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test118() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n \\n evaluation0.useNoPriors();\\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test012() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.priorEntropy();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test40() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\n }\",\n \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test086() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test085() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test031() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives((-1436));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test013() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test119() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test122() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"Y#:')*#rI\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numInstances();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n public void test36() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.incorrect();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test35() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(Double.NaN, double0, 0.01D);\\n }\",\n \"@Test\\n public void test16() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.SFSchemeEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(360, (-336.251));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test33() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test024() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test106() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setDiscardPredictions(false);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n }\",\n \"@Test\\n public void test13() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test084() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test121() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toClassDetailsString();\\n assertEquals(\\\"=== Detailed Accuracy By Class ===\\\\n\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(2, doubleArray0.length);\\n }\",\n \"public void testLiangFigure6() {\\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\\n\\n for (int i = 0; i < ntimes - 1; i++) {\\n cases[i][0] = a[i];\\n cases[i][1] = b[i];\\n cases[i][2] = c[i];\\n cases[i + 1][3] = ap[i];\\n cases[i + 1][4] = bp[i];\\n cases[i + 1][5] = cp[i];\\n }\\n cases[8][0] = 0;\\n cases[8][1] = 0;\\n cases[8][2] = 0;\\n cases[0][3] = 0;\\n cases[0][4] = 0;\\n cases[0][5] = 0;\\n\\n RevealEvaluator re = new RevealEvaluator(cases);\\n\\n double rea = re.entropy(a);\\n assertEquals(1.0, rea, TOLERANCE);\\n System.out.println(\\\"H(a) = \\\" + rea); //Should be 1.0\\n\\n double reb = re.entropy(b);\\n assertEquals(1.0, reb, TOLERANCE);\\n System.out.println(\\\"H(b) = \\\" + reb); //Should be 1.0\\n\\n double rec = re.entropy(c);\\n assertEquals(1.0, rec, TOLERANCE);\\n System.out.println(\\\"H(c) = \\\" + rec); //Should be 1.0\\n\\n double reab = re.jointEntropy(a, b);\\n assertEquals(2.0, reab, TOLERANCE);\\n System.out.println(\\\"H(a,b) = \\\" + reab); //Should be 2.0\\n\\n double reap = re.entropy(ap);\\n assertEquals(1.0, reap, TOLERANCE);\\n System.out.println(\\\"H(ap) = \\\" + reap); //Should be 1.0\\n\\n double rebp = re.entropy(bp);\\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\\n System.out.println(\\\"H(bp) = \\\" + rebp); //Should be 0.8112781244591328\\n\\n double recp = re.entropy(cp);\\n assertEquals(1.0, recp, TOLERANCE);\\n System.out.println(\\\"H(cp) = \\\" + recp); //Should be 1.0\\n\\n double reapa = re.jointEntropy(ap, a);\\n assertEquals(2.0, reapa, TOLERANCE);\\n System.out.println(\\\"H(ap, a) = \\\" + reapa); //Should be 2.0\\n\\n double rebpb = re.jointEntropy(bp, b);\\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\\n System.out.println(\\n \\\"H(bp, b) = \\\" + rebpb); //Should be 1.8112781244591327\\n\\n double recpb = re.jointEntropy(cp, b);\\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\\n System.out.println(\\n \\\"H(cp, b) = \\\" + recpb); //Should be 1.8112781244591327\\n\\n int[][] ab = new int[2][8];\\n for (int i = 0; i < 8; i++) {\\n ab[0][i] = a[i];\\n ab[1][i] = b[i];\\n }\\n\\n double rebpab = re.jointEntropy(bp, ab);\\n assertEquals(2.5, rebpab, TOLERANCE);\\n System.out.println(\\\"H(bp, a, b) = \\\" + rebpab); //Should be 2.5\\n\\n double recpab = re.jointEntropy(cp, ab);\\n assertEquals(2.5, recpab, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b) = \\\" + recpab); //Should be 2.5\\n\\n int[][] abc = new int[3][8];\\n for (int i = 0; i < 8; i++) {\\n abc[0][i] = a[i];\\n abc[1][i] = b[i];\\n abc[2][i] = c[i];\\n }\\n\\n double recpabc = re.jointEntropy(cp, abc);\\n assertEquals(3.0, recpabc, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b, c) = \\\" + recpabc); //Should be 3.0\\n\\n //Setup array cases and test mutualInformation\\n int[] p = new int[1];\\n p[0] = 0;\\n\\n double rembpa = re.mutualInformation(4, p, 1);\\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\\n System.out.println(\\n \\\"M(Bp, A) = \\\" + rembpa); //Should be 0.31127812445913294\\n\\n int[] pp = new int[2];\\n pp[0] = 0;\\n pp[1] = 1;\\n\\n double rmcpab = re.mutualInformation(5, pp, 1);\\n assertEquals(0.5, rmcpab, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B]) = \\\" + rmcpab); //Should be 0.5\\n\\n int[] ppp = new int[3];\\n ppp[0] = 0;\\n ppp[1] = 1;\\n ppp[2] = 2;\\n\\n double rmcpabc = re.mutualInformation(5, ppp, 1);\\n assertEquals(1.0, rmcpabc, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B,C]) = \\\" + rmcpabc); //Should be 1.0\\n\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test109() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertFalse(boolean0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test074() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test048() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC(17);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test093() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n Object[] objectArray0 = new Object[2];\\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test022() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.toMatrixString(\\\"getPreBuiltClassifiers\\\");\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test026() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.recall((-9));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.makeBinaryTipText();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"Make resulting attributes binary.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"public void testSummaryStatsPartialLog() {\\n\\n // TODO: Create File in platform independent way.\\n File testFile = new File(\\\"src/test/data/dataset98.txt\\\");\\n GcManager gcManager = new GcManager();\\n File preprocessedFile = gcManager.preprocess(testFile, null);\\n gcManager.store(preprocessedFile, false);\\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\\n Assert.assertEquals(\\\"GC event type count not correct.\\\", 2, jvmRun.getEventTypes().size());\\n Assert.assertEquals(\\\"GC blocking event count not correct.\\\", 2, jvmRun.getBlockingEventCount());\\n Assert.assertEquals(\\\"GC pause total not correct.\\\", 61, jvmRun.getTotalGcPause());\\n Assert.assertEquals(\\\"GC first timestamp not correct.\\\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last timestamp not correct.\\\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last duration not correct.\\\", 41, jvmRun.getLastGcEvent().getDuration());\\n Assert.assertEquals(\\\"Stopped Time event count not correct.\\\", 6, jvmRun.getStoppedTimeEventCount());\\n Assert.assertEquals(\\\"Stopped time total not correct.\\\", 1064, jvmRun.getTotalStoppedTime());\\n Assert.assertEquals(\\\"Stopped first timestamp not correct.\\\", 1000964,\\n jvmRun.getFirstStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last timestamp not correct.\\\", 1003884,\\n jvmRun.getLastStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last duration not correct.\\\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\\n Assert.assertEquals(\\\"JVM first event timestamp not correct.\\\", 1000964, jvmRun.getFirstEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM last event timestamp not correct.\\\", 1003884, jvmRun.getLastEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM run duration not correct.\\\", 3920, jvmRun.getJvmRunDuration());\\n Assert.assertEquals(\\\"GC throughput not correct.\\\", 98, jvmRun.getGcThroughput());\\n Assert.assertEquals(\\\"Stopped time throughput not correct.\\\", 73, jvmRun.getStoppedTimeThroughput());\\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \\\" analysis not identified.\\\",\\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\\n }\",\n \"@Test(timeout = 4000)\\n public void test051() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test011() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.unclassified();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test18() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"l*{e5SNh\\\");\\n boolean boolean0 = true;\\n discretize0.m_ClassIndex = 177;\\n discretize0.setUseEqualFrequency(true);\\n double[][] doubleArray0 = new double[5][9];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[0] = (double) 177;\\n doubleArray1[1] = (double) 177;\\n doubleArray1[2] = (double) 177;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[2];\\n doubleArray2[0] = (double) 177;\\n doubleArray2[1] = (double) 177;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[9];\\n doubleArray3[0] = (double) 177;\\n doubleArray3[1] = (double) 177;\\n doubleArray3[2] = (double) 177;\\n doubleArray3[3] = (double) 177;\\n doubleArray3[4] = (double) 177;\\n doubleArray3[5] = (double) 177;\\n doubleArray3[6] = (double) 177;\\n doubleArray3[7] = (double) 177;\\n doubleArray3[8] = (double) 177;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[8];\\n doubleArray4[0] = (double) 177;\\n doubleArray4[1] = (double) 177;\\n doubleArray4[2] = (double) 177;\\n doubleArray4[3] = (double) 177;\\n doubleArray4[4] = (double) 177;\\n doubleArray4[5] = (double) 177;\\n doubleArray4[6] = (double) 177;\\n doubleArray4[7] = (double) 177;\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[0];\\n doubleArray0[4] = doubleArray5;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.listOptions();\\n discretize0.setIgnoreClass(true);\\n String[] stringArray0 = new String[0];\\n Discretize.main(stringArray0);\\n discretize0.findNumBinsTipText();\\n discretize0.setInvertSelection(true);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(511);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 511\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test070() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test103() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.getRevision();\\n assertEquals(\\\"8964\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n byte[] byteArray0 = new byte[3];\\n byteArray0[0] = (byte)108;\\n byteArray0[1] = (byte)27;\\n byteArray0[2] = (byte)14;\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n discretize0.setBins((-830));\\n discretize0.getOptions();\\n assertEquals((-830), discretize0.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test36() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\\n Attribute attribute0 = new Attribute(\\\"-\\\", \\\"-\\\", protectedProperties1);\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"(,Z;Xp#\\\\\\\"dxq[\\\", arrayList0, 1587);\\n boolean boolean0 = discretize0.setInputFormat(instances0);\\n boolean boolean1 = discretize0.batchFinished();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertTrue(boolean1 == boolean0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(boolean1);\\n }\",\n \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\\n assertNotNull(doubleArray0);\\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test19() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBInformation();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test01() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test30() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertFalse(boolean0);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test021() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(\\\"\\\", false);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getBinRangesString(2607);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test072() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateMargins(doubleArray0, 3, (-1));\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test21() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.errorRate();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test041() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.fMeasure((-2765));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\\tInvert matching sense of column indexes.\\\");\\n discretize0.setOutputFormat();\\n discretize0.listOptions();\\n Discretize discretize1 = new Discretize();\\n discretize1.setIgnoreClass(false);\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\\tInvert matching sense of column indexes.\\\";\\n stringArray0[1] = \\\"\\\";\\n Discretize.main(stringArray0);\\n String string0 = discretize1.findNumBinsTipText();\\n assertEquals(\\\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\\\", string0);\\n \\n discretize1.setInvertSelection(false);\\n discretize0.getBinRangesString(511);\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n \\n discretize1.getFindNumBins();\\n assertEquals(10, discretize1.getBins());\\n }\",\n \"@Test(timeout = 4000)\\n public void test144() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n Vector<Integer> vector0 = new Vector<Integer>();\\n resultMatrixSignificance0.m_HeaderKeys = vector0;\\n vector0.add((Integer) 0);\\n resultMatrixSignificance0.getDefaultMeanWidth();\\n resultMatrixSignificance0.getRevision();\\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\\n int[] intArray0 = new int[3];\\n intArray0[0] = 1;\\n resultMatrixSignificance0.setCountWidth(1);\\n intArray0[1] = 0;\\n intArray0[2] = 0;\\n resultMatrixSignificance0.m_RowOrder = intArray0;\\n resultMatrixSignificance0.getSignificance(0, 322);\\n int int1 = resultMatrixSignificance0.getSignificanceWidth();\\n assertEquals(1, resultMatrixSignificance0.getCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, int1);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test049() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC((-1));\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"'B1of2'\\\");\\n int[] intArray0 = new int[8];\\n intArray0[0] = 18;\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"'B1of2'\\\");\\n discretize0.listOptions();\\n String[] stringArray0 = discretize0.getOptions();\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(6, stringArray0.length);\\n }\",\n \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getCutPoints((-2276));\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testDEGEN2() {\\n CuteNetlibCase.doTest(\\\"DEGEN2.SIF\\\", \\\"-1435.1779999999999\\\", \\\"-1226.12\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC105() {\\n CuteNetlibCase.doTest(\\\"SC105.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test22() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FastVector fastVector0 = evaluation0.predictions();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_13() {\\n CuteNetlibCase.doTest(\\\"KEN-13.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test040() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.falseNegativeRate((-2));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n int[] intArray0 = new int[6];\\n intArray0[0] = (-388);\\n intArray0[1] = (-2121610348);\\n intArray0[2] = 11;\\n intArray0[3] = (-1);\\n intArray0[4] = 1062;\\n intArray0[5] = 70;\\n discretize0.setAttributeIndicesArray(intArray0);\\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\\n discretize0.getOptions();\\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test35() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n Attribute attribute0 = new Attribute(\\\"invalid CVS revision - not dots!\\\");\\n attribute0.setWeight(0.0);\\n Attribute.typeToString(attribute0);\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"UR<dj;O\\\", arrayList0, 3);\\n Instances instances1 = new Instances(instances0);\\n boolean boolean0 = discretize0.setInputFormat(instances1);\\n assertFalse(boolean0);\\n \\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\".bsi\\\";\\n stringArray0[1] = \\\"invalid CVS revision - not dots!\\\";\\n stringArray0[2] = \\\"@end\\\";\\n discretize0.setOptions(stringArray0);\\n discretize0.setOptions(stringArray0);\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test027() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.precision((-1484));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_UseEqualFrequency = true;\\n discretize0.getOptions();\\n assertTrue(discretize0.getMakeBinary());\\n \\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test09() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"*W5D<hSCW|8@I\\\");\\n int[] intArray0 = new int[9];\\n intArray0[0] = (-1405);\\n intArray0[1] = (-2938);\\n intArray0[2] = (-1954);\\n intArray0[3] = 9;\\n intArray0[4] = 66;\\n intArray0[5] = 573;\\n intArray0[6] = 0;\\n intArray0[7] = (-71);\\n intArray0[8] = 99;\\n discretize0.setAttributeIndicesArray(intArray0);\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testD2Q06C() {\\n CuteNetlibCase.doTest(\\\"D2Q06C.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"unstable\\\")\\n @Tag(\\\"bm1000\\\")\\n public void testTUFF() {\\n CuteNetlibCase.doTest(\\\"TUFF.SIF\\\", \\\"0.29214776509361284\\\", \\\"0.8949901867574317\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test008() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.meanAbsoluteError();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void testCalculateNominationCuantity2() throws FileNotFoundException {\\n System.out.println(\\\"testCalculateNominationCuantity 2\\\");\\n double expResult = 125.0;\\n double result = calc.getChange(124d, calc.calculateDenominationCuantity(124d));\\n assertEquals(expResult, result);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7297362","0.7255634","0.69380337","0.68724144","0.6737186","0.66993743","0.6692575","0.6663199","0.66550446","0.6651226","0.66422075","0.6632702","0.66298586","0.6627494","0.6625799","0.6591039","0.6587229","0.6586359","0.65852857","0.6574988","0.6545978","0.65200543","0.6492918","0.6470974","0.64100903","0.64066964","0.63993144","0.6388526","0.63880795","0.6381055","0.6377639","0.6367028","0.63265747","0.6323777","0.63129604","0.630796","0.62935746","0.6280378","0.6267188","0.62484795","0.62478983","0.6236746","0.62344265","0.6233082","0.6226689","0.6207051","0.6195195","0.6181527","0.61769617","0.6171316","0.6156354","0.61483896","0.6141465","0.6139383","0.6134379","0.6134103","0.6134038","0.61336327","0.6131939","0.61260843","0.6120438","0.6119248","0.6109002","0.6108286","0.61032844","0.6085191","0.6083788","0.6078286","0.60777336","0.6075951","0.606893","0.6047439","0.60414606","0.6014311","0.6003808","0.5996654","0.59961325","0.59958255","0.59904164","0.5985281","0.59835464","0.5969154","0.5952461","0.5949124","0.5947894","0.5942317","0.5940606","0.5933099","0.5927051","0.59094036","0.58965","0.58943087","0.5889028","0.5877625","0.58748984","0.58645064","0.5864031","0.5852133","0.5834971","0.58339","0.583387"],"string":"[\n \"0.7297362\",\n \"0.7255634\",\n \"0.69380337\",\n \"0.68724144\",\n \"0.6737186\",\n \"0.66993743\",\n \"0.6692575\",\n \"0.6663199\",\n \"0.66550446\",\n \"0.6651226\",\n \"0.66422075\",\n \"0.6632702\",\n \"0.66298586\",\n \"0.6627494\",\n \"0.6625799\",\n \"0.6591039\",\n \"0.6587229\",\n \"0.6586359\",\n \"0.65852857\",\n \"0.6574988\",\n \"0.6545978\",\n \"0.65200543\",\n \"0.6492918\",\n \"0.6470974\",\n \"0.64100903\",\n \"0.64066964\",\n \"0.63993144\",\n \"0.6388526\",\n \"0.63880795\",\n \"0.6381055\",\n \"0.6377639\",\n \"0.6367028\",\n \"0.63265747\",\n \"0.6323777\",\n \"0.63129604\",\n \"0.630796\",\n \"0.62935746\",\n \"0.6280378\",\n \"0.6267188\",\n \"0.62484795\",\n \"0.62478983\",\n \"0.6236746\",\n \"0.62344265\",\n \"0.6233082\",\n \"0.6226689\",\n \"0.6207051\",\n \"0.6195195\",\n \"0.6181527\",\n \"0.61769617\",\n \"0.6171316\",\n \"0.6156354\",\n \"0.61483896\",\n \"0.6141465\",\n \"0.6139383\",\n \"0.6134379\",\n \"0.6134103\",\n \"0.6134038\",\n \"0.61336327\",\n \"0.6131939\",\n \"0.61260843\",\n \"0.6120438\",\n \"0.6119248\",\n \"0.6109002\",\n \"0.6108286\",\n \"0.61032844\",\n \"0.6085191\",\n \"0.6083788\",\n \"0.6078286\",\n \"0.60777336\",\n \"0.6075951\",\n \"0.606893\",\n \"0.6047439\",\n \"0.60414606\",\n \"0.6014311\",\n \"0.6003808\",\n \"0.5996654\",\n \"0.59961325\",\n \"0.59958255\",\n \"0.59904164\",\n \"0.5985281\",\n \"0.59835464\",\n \"0.5969154\",\n \"0.5952461\",\n \"0.5949124\",\n \"0.5947894\",\n \"0.5942317\",\n \"0.5940606\",\n \"0.5933099\",\n \"0.5927051\",\n \"0.59094036\",\n \"0.58965\",\n \"0.58943087\",\n \"0.5889028\",\n \"0.5877625\",\n \"0.58748984\",\n \"0.58645064\",\n \"0.5864031\",\n \"0.5852133\",\n \"0.5834971\",\n \"0.58339\",\n \"0.583387\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119399,"cells":{"query":{"kind":"string","value":"Test case number: 146 /Coverage entropy=0.7123333326585803"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test146() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"(2><\");\n Token token0 = xPathLexer0.leftParen();\n assertEquals(\"(\", token0.getTokenText());\n assertEquals(1, token0.getTokenType());\n \n Token token1 = xPathLexer0.nextToken();\n assertEquals(\"2\", token1.getTokenText());\n assertEquals(30, token1.getTokenType());\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test050() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderPRC((-1));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test025() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test110() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test007() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setNumericPriorsFromBuffer();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test\n public void test40() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\n }","@Test(timeout = 4000)\n public void test114() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertEquals(2, doubleArray0.length);\n assertNotNull(doubleArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test108() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.avgCost();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test118() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test113() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(false);\n assertEquals(\"=== Summary ===\\n\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n }","@Test(timeout = 4000)\n public void test117() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test17() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test120() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctIncorrect();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test119() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString((String) null, true);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(\"null\\nTotal Number of Instances 0 \\n\", string0);\n }","@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test086() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Override\n protected long getTestSolution() {\n return 100024;\n }","@Test(timeout = 4000)\n public void test083() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test013() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test031() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives((-1436));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test085() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test35() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }","@Test(timeout = 4000)\n public void test121() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toClassDetailsString();\n assertEquals(\"=== Detailed Accuracy By Class ===\\n\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test36() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.incorrect();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test068() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(360, (-336.251));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test024() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test122() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"Y#:')*#rI\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numInstances();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","@Test\n public void test16() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.SFSchemeEntropy();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test106() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setDiscardPredictions(false);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n }","@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }","public void testSummaryStatsPartialLog() {\n\n // TODO: Create File in platform independent way.\n File testFile = new File(\"src/test/data/dataset98.txt\");\n GcManager gcManager = new GcManager();\n File preprocessedFile = gcManager.preprocess(testFile, null);\n gcManager.store(preprocessedFile, false);\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\n Assert.assertEquals(\"GC event type count not correct.\", 2, jvmRun.getEventTypes().size());\n Assert.assertEquals(\"GC blocking event count not correct.\", 2, jvmRun.getBlockingEventCount());\n Assert.assertEquals(\"GC pause total not correct.\", 61, jvmRun.getTotalGcPause());\n Assert.assertEquals(\"GC first timestamp not correct.\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last timestamp not correct.\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\n Assert.assertEquals(\"GC last duration not correct.\", 41, jvmRun.getLastGcEvent().getDuration());\n Assert.assertEquals(\"Stopped Time event count not correct.\", 6, jvmRun.getStoppedTimeEventCount());\n Assert.assertEquals(\"Stopped time total not correct.\", 1064, jvmRun.getTotalStoppedTime());\n Assert.assertEquals(\"Stopped first timestamp not correct.\", 1000964,\n jvmRun.getFirstStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last timestamp not correct.\", 1003884,\n jvmRun.getLastStoppedEvent().getTimestamp());\n Assert.assertEquals(\"Stopped last duration not correct.\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\n Assert.assertEquals(\"JVM first event timestamp not correct.\", 1000964, jvmRun.getFirstEvent().getTimestamp());\n Assert.assertEquals(\"JVM last event timestamp not correct.\", 1003884, jvmRun.getLastEvent().getTimestamp());\n Assert.assertEquals(\"JVM run duration not correct.\", 3920, jvmRun.getJvmRunDuration());\n Assert.assertEquals(\"GC throughput not correct.\", 98, jvmRun.getGcThroughput());\n Assert.assertEquals(\"Stopped time throughput not correct.\", 73, jvmRun.getStoppedTimeThroughput());\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \" analysis not identified.\",\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\n }","@Test\n @Tag(\"bm1000\")\n public void testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test087() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test048() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC(17);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test084() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01);\n }","@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test109() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void test13() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }","@Test(timeout = 4000)\n public void test022() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.toMatrixString(\"getPreBuiltClassifiers\");\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test021() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(\"\", false);\n assertEquals(\"\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\n }","@Test\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", NumberContext.of(7, 4));\n }","@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test011() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unclassified();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", NumberContext.of(7, 4));\n }","@Test\n public void test19() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBInformation();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test082() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\" -1 0 \\n\", string0);\n }","public void testLiangFigure6() {\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\n\n for (int i = 0; i < ntimes - 1; i++) {\n cases[i][0] = a[i];\n cases[i][1] = b[i];\n cases[i][2] = c[i];\n cases[i + 1][3] = ap[i];\n cases[i + 1][4] = bp[i];\n cases[i + 1][5] = cp[i];\n }\n cases[8][0] = 0;\n cases[8][1] = 0;\n cases[8][2] = 0;\n cases[0][3] = 0;\n cases[0][4] = 0;\n cases[0][5] = 0;\n\n RevealEvaluator re = new RevealEvaluator(cases);\n\n double rea = re.entropy(a);\n assertEquals(1.0, rea, TOLERANCE);\n System.out.println(\"H(a) = \" + rea); //Should be 1.0\n\n double reb = re.entropy(b);\n assertEquals(1.0, reb, TOLERANCE);\n System.out.println(\"H(b) = \" + reb); //Should be 1.0\n\n double rec = re.entropy(c);\n assertEquals(1.0, rec, TOLERANCE);\n System.out.println(\"H(c) = \" + rec); //Should be 1.0\n\n double reab = re.jointEntropy(a, b);\n assertEquals(2.0, reab, TOLERANCE);\n System.out.println(\"H(a,b) = \" + reab); //Should be 2.0\n\n double reap = re.entropy(ap);\n assertEquals(1.0, reap, TOLERANCE);\n System.out.println(\"H(ap) = \" + reap); //Should be 1.0\n\n double rebp = re.entropy(bp);\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\n System.out.println(\"H(bp) = \" + rebp); //Should be 0.8112781244591328\n\n double recp = re.entropy(cp);\n assertEquals(1.0, recp, TOLERANCE);\n System.out.println(\"H(cp) = \" + recp); //Should be 1.0\n\n double reapa = re.jointEntropy(ap, a);\n assertEquals(2.0, reapa, TOLERANCE);\n System.out.println(\"H(ap, a) = \" + reapa); //Should be 2.0\n\n double rebpb = re.jointEntropy(bp, b);\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\n System.out.println(\n \"H(bp, b) = \" + rebpb); //Should be 1.8112781244591327\n\n double recpb = re.jointEntropy(cp, b);\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\n System.out.println(\n \"H(cp, b) = \" + recpb); //Should be 1.8112781244591327\n\n int[][] ab = new int[2][8];\n for (int i = 0; i < 8; i++) {\n ab[0][i] = a[i];\n ab[1][i] = b[i];\n }\n\n double rebpab = re.jointEntropy(bp, ab);\n assertEquals(2.5, rebpab, TOLERANCE);\n System.out.println(\"H(bp, a, b) = \" + rebpab); //Should be 2.5\n\n double recpab = re.jointEntropy(cp, ab);\n assertEquals(2.5, recpab, TOLERANCE);\n System.out.println(\"H(cp, a, b) = \" + recpab); //Should be 2.5\n\n int[][] abc = new int[3][8];\n for (int i = 0; i < 8; i++) {\n abc[0][i] = a[i];\n abc[1][i] = b[i];\n abc[2][i] = c[i];\n }\n\n double recpabc = re.jointEntropy(cp, abc);\n assertEquals(3.0, recpabc, TOLERANCE);\n System.out.println(\"H(cp, a, b, c) = \" + recpabc); //Should be 3.0\n\n //Setup array cases and test mutualInformation\n int[] p = new int[1];\n p[0] = 0;\n\n double rembpa = re.mutualInformation(4, p, 1);\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\n System.out.println(\n \"M(Bp, A) = \" + rembpa); //Should be 0.31127812445913294\n\n int[] pp = new int[2];\n pp[0] = 0;\n pp[1] = 1;\n\n double rmcpab = re.mutualInformation(5, pp, 1);\n assertEquals(0.5, rmcpab, TOLERANCE);\n System.out.println(\"M(Cp, [A,B]) = \" + rmcpab); //Should be 0.5\n\n int[] ppp = new int[3];\n ppp[0] = 0;\n ppp[1] = 1;\n ppp[2] = 2;\n\n double rmcpabc = re.mutualInformation(5, ppp, 1);\n assertEquals(1.0, rmcpabc, TOLERANCE);\n System.out.println(\"M(Cp, [A,B,C]) = \" + rmcpabc); //Should be 1.0\n\n }","@Test\n @Tag(\"bm1000\")\n public void testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test051() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n public void test01() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l*{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.makeBinaryTipText();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"Make resulting attributes binary.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getMakeBinary());\n }","@Test(timeout = 4000)\n public void test36() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\n Attribute attribute0 = new Attribute(\"-\", \"-\", protectedProperties1);\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"(,Z;Xp#\\\"dxq[\", arrayList0, 1587);\n boolean boolean0 = discretize0.setInputFormat(instances0);\n boolean boolean1 = discretize0.batchFinished();\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertTrue(boolean1 == boolean0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(boolean1);\n }","@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", null, NumberContext.of(7, 4));\n }","@Test\n public void test30() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertFalse(boolean0);\n }","@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }","@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }","@Test(timeout = 4000)\n public void test070() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","@Test(timeout = 4000)\n public void test24() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n byte[] byteArray0 = new byte[3];\n byteArray0[0] = (byte)108;\n byteArray0[1] = (byte)27;\n byteArray0[2] = (byte)14;\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\n discretize0.setBins((-830));\n discretize0.getOptions();\n assertEquals((-830), discretize0.getBins());\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_13() {\n CuteNetlibCase.doTest(\"KEN-13.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test12() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.getRevision();\n assertEquals(\"8964\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test036() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\n assertNotNull(doubleArray0);\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }","@Test\n @Tag(\"slow\")\n public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getBinRangesString(2607);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n }","@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test(timeout = 4000)\n public void test19() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getCutPoints((-2276));\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","public int getCoverage (){\r\n return coverage;\r\n }","@Test(timeout = 4000)\n public void test049() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC((-1));\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test13() throws Throwable {\n Discretize discretize0 = new Discretize(\"\\tInvert matching sense of column indexes.\");\n discretize0.setOutputFormat();\n discretize0.listOptions();\n Discretize discretize1 = new Discretize();\n discretize1.setIgnoreClass(false);\n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\\tInvert matching sense of column indexes.\";\n stringArray0[1] = \"\";\n Discretize.main(stringArray0);\n String string0 = discretize1.findNumBinsTipText();\n assertEquals(\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\", string0);\n \n discretize1.setInvertSelection(false);\n discretize0.getBinRangesString(511);\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n \n discretize1.getFindNumBins();\n assertEquals(10, discretize1.getBins());\n }","@Test\n @Tag(\"bm1000\")\n public void testSC205() {\n CuteNetlibCase.doTest(\"SC205.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n discretize0.m_UseEqualFrequency = true;\n discretize0.getOptions();\n assertTrue(discretize0.getMakeBinary());\n \n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testSCRS8() {\n CuteNetlibCase.doTest(\"SCRS8.SIF\", \"960.0206152764557\", null, NumberContext.of(7, 4));\n }","@Test\n @Tag(\"unstable\")\n @Tag(\"bm1000\")\n public void testTUFF() {\n CuteNetlibCase.doTest(\"TUFF.SIF\", \"0.29214776509361284\", \"0.8949901867574317\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testKEN_11() {\n CuteNetlibCase.doTest(\"KEN-11.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test14() throws Throwable {\n Discretize discretize0 = new Discretize(\"'B1of2'\");\n int[] intArray0 = new int[8];\n intArray0[0] = 18;\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"'B1of2'\");\n discretize0.listOptions();\n String[] stringArray0 = discretize0.getOptions();\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(6, stringArray0.length);\n }","@Test\n public void run () {\n\t \n\t System.out.println(\"---------->\");\n\t //System.out.println(md5list.getResult());\n\t //System.out.println(hashsearch.getResult());\n\t \n\t \n\t \n\t // System.out.println(samples.Testing());\n\t //System.out.println(\"getserult: \"+samples.getResult());\n\t \n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testD2Q06C() {\n CuteNetlibCase.doTest(\"D2Q06C.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test041() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.fMeasure((-2765));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.m_FindNumBins = true;\n int[] intArray0 = new int[6];\n intArray0[0] = (-388);\n intArray0[1] = (-2121610348);\n intArray0[2] = 11;\n intArray0[3] = (-1);\n intArray0[4] = 1062;\n intArray0[5] = 70;\n discretize0.setAttributeIndicesArray(intArray0);\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\n discretize0.getOptions();\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }","@Test\n @Tag(\"bm1000\")\n public void testSC105() {\n CuteNetlibCase.doTest(\"SC105.SIF\", \"-52.202061211707246\", \"0.0\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test006() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedAreaUnderPRC();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n\tpublic void testGetCounts() {\n\t\tString cellBC = \"ATCAGGGACAGA\";\n\n\t\tint snpPos = 76227022;\n\t\tInterval snpInterval = new Interval(\"HUMAN_1\", snpPos, snpPos, true, \"test\");\n\t\tSampleGenotypeProbabilities result = new SampleGenotypeProbabilities(snpInterval, cellBC);\n\t\tSNPUMIBasePileup p = getPileUpFromFile(cellBC, \"CGGGGCTC\");\n\t\tp.addLocusFunction(LocusFunction.CODING);\n\t\tresult.add(p);\n\t\tresult.add(getPileUpFromFile(cellBC, \"CGCGGGAC\")); // this read doesn't overlap the SNP so it isn't added!\n\t\tresult.add(getPileUpFromFile(cellBC, \"CTGGGCTC\"));\n\t\tresult.add(getPileUpFromFile(cellBC, \"GGAATGTG\"));\n\t\tresult.add(getPileUpFromFile(cellBC, \"GTGCCGTG\"));\n\t\tresult.add(getPileUpFromFile(cellBC, \"TCGCAGAC\"));\n\n\t\t// the code coverage gods are pleased.\n\t\tAssert.assertEquals(result.getCell(), cellBC);\n\t\tAssert.assertEquals(result.getSNPInterval(), snpInterval);\n\n\t\tAssert.assertNotNull(result.toString());\n\n\t\t// get the unfiltered results.\n\t\tObjectCounter<Character> umiCounts = result.getUMIBaseCounts();\n\t\tObjectCounter<Character> umiCountsExpected = new ObjectCounter<>();\n\t\tumiCountsExpected.incrementByCount('A', 2);\n\t\tumiCountsExpected.incrementByCount('G', 3);\n\t\tAssert.assertEquals(umiCounts, umiCountsExpected);\n\n\t\tObjectCounter<Character> readCounts = result.getReadBaseCounts();\n\t\tObjectCounter<Character> readCountsExpected = new ObjectCounter<>();\n\t\treadCountsExpected.incrementByCount('A', 2);\n\t\treadCountsExpected.incrementByCount('G', 5);\n\t\tAssert.assertEquals(readCounts, readCountsExpected);\n\n\t\tSet<LocusFunction> expected = new HashSet<>(Arrays.asList(LocusFunction.CODING));\n\t\tAssert.assertEquals(result.getLocusFunctions(), expected);\n\n\t}","@Test\n @Tag(\"bm1000\")\n public void testDEGEN2() {\n CuteNetlibCase.doTest(\"DEGEN2.SIF\", \"-1435.1779999999999\", \"-1226.12\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test28() throws Throwable {\n Discretize discretize0 = new Discretize();\n double[][] doubleArray0 = new double[8][8];\n double[] doubleArray1 = new double[3];\n doubleArray1[2] = 1421.4058829;\n doubleArray0[1] = doubleArray1;\n double[] doubleArray2 = new double[9];\n doubleArray2[1] = 1.7976931348623157E308;\n doubleArray2[2] = 0.0;\n doubleArray2[5] = (-236.4995664359);\n doubleArray2[7] = 1421.4058829;\n doubleArray0[3] = doubleArray2;\n double[] doubleArray3 = new double[3];\n doubleArray3[0] = 0.0;\n doubleArray3[1] = (-236.4995664359);\n doubleArray0[4] = doubleArray3;\n double[] doubleArray4 = new double[21];\n doubleArray4[0] = 1421.4058829;\n doubleArray3[2] = (-236.4995664359);\n doubleArray4[4] = 1.7976931348623157E308;\n doubleArray0[7] = doubleArray4;\n discretize0.m_NumBins = 162;\n doubleArray0[1] = doubleArray4;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.getBinRangesString(1);\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","@Test\n @Tag(\"bm1000\")\n public void testAGG3() {\n CuteNetlibCase.doTest(\"AGG3.SIF\", \"1.031211593508922E7\", \"5.746768863949547E9\", NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test088() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBRelativeInformation();\n assertEquals(0.0, double0, 0.01);\n }"],"string":"[\n \"@Test(timeout = 4000)\\n public void test126() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.totalCost();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test112() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getHeader();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderPRC((-1));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test025() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test110() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test007() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setNumericPriorsFromBuffer();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test29() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.pctCorrect();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test\\n public void test40() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test114() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertEquals(2, doubleArray0.length);\\n assertNotNull(doubleArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test108() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.avgCost();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test118() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n \\n evaluation0.useNoPriors();\\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test117() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test17() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test012() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.priorEntropy();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test120() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test119() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n }\",\n \"@Test(timeout = 4000)\\n public void test116() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test086() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\n }\",\n \"@Test(timeout = 4000)\\n public void test083() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test013() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test031() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives((-1436));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test085() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test35() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(Double.NaN, double0, 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test121() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toClassDetailsString();\\n assertEquals(\\\"=== Detailed Accuracy By Class ===\\\\n\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test36() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.incorrect();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(360, (-336.251));\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test024() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setPriors(instances0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test122() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"Y#:')*#rI\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numInstances();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test\\n public void test16() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n double double0 = evaluation0.SFSchemeEntropy();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test106() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.setDiscardPredictions(false);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n }\",\n \"@Test\\n public void test33() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.correct();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"public void testSummaryStatsPartialLog() {\\n\\n // TODO: Create File in platform independent way.\\n File testFile = new File(\\\"src/test/data/dataset98.txt\\\");\\n GcManager gcManager = new GcManager();\\n File preprocessedFile = gcManager.preprocess(testFile, null);\\n gcManager.store(preprocessedFile, false);\\n JvmRun jvmRun = gcManager.getJvmRun(new Jvm(null, null), Constants.DEFAULT_BOTTLENECK_THROUGHPUT_THRESHOLD);\\n Assert.assertEquals(\\\"GC event type count not correct.\\\", 2, jvmRun.getEventTypes().size());\\n Assert.assertEquals(\\\"GC blocking event count not correct.\\\", 2, jvmRun.getBlockingEventCount());\\n Assert.assertEquals(\\\"GC pause total not correct.\\\", 61, jvmRun.getTotalGcPause());\\n Assert.assertEquals(\\\"GC first timestamp not correct.\\\", 1002192, jvmRun.getFirstGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last timestamp not correct.\\\", 1002847, jvmRun.getLastGcEvent().getTimestamp());\\n Assert.assertEquals(\\\"GC last duration not correct.\\\", 41, jvmRun.getLastGcEvent().getDuration());\\n Assert.assertEquals(\\\"Stopped Time event count not correct.\\\", 6, jvmRun.getStoppedTimeEventCount());\\n Assert.assertEquals(\\\"Stopped time total not correct.\\\", 1064, jvmRun.getTotalStoppedTime());\\n Assert.assertEquals(\\\"Stopped first timestamp not correct.\\\", 1000964,\\n jvmRun.getFirstStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last timestamp not correct.\\\", 1003884,\\n jvmRun.getLastStoppedEvent().getTimestamp());\\n Assert.assertEquals(\\\"Stopped last duration not correct.\\\", 1000688, jvmRun.getLastStoppedEvent().getDuration());\\n Assert.assertEquals(\\\"JVM first event timestamp not correct.\\\", 1000964, jvmRun.getFirstEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM last event timestamp not correct.\\\", 1003884, jvmRun.getLastEvent().getTimestamp());\\n Assert.assertEquals(\\\"JVM run duration not correct.\\\", 3920, jvmRun.getJvmRunDuration());\\n Assert.assertEquals(\\\"GC throughput not correct.\\\", 98, jvmRun.getGcThroughput());\\n Assert.assertEquals(\\\"Stopped time throughput not correct.\\\", 73, jvmRun.getStoppedTimeThroughput());\\n Assert.assertTrue(Analysis.WARN_GC_STOPPED_RATIO + \\\" analysis not identified.\\\",\\n jvmRun.getAnalysis().contains(Analysis.WARN_GC_STOPPED_RATIO));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test087() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test048() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC(17);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test084() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test026() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.recall((-9));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test109() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertFalse(boolean0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void test13() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(2, doubleArray0.length);\\n }\",\n \"@Test(timeout = 4000)\\n public void test022() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.toMatrixString(\\\"getPreBuiltClassifiers\\\");\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test021() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(\\\"\\\", false);\\n assertEquals(\\\"\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanSchemeEntropy();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test093() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n Object[] objectArray0 = new Object[2];\\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test18() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBMeanInformation();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test074() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\\n assertNotNull(doubleArray0);\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test011() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.unclassified();\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test19() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBInformation();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n }\",\n \"public void testLiangFigure6() {\\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\\n\\n for (int i = 0; i < ntimes - 1; i++) {\\n cases[i][0] = a[i];\\n cases[i][1] = b[i];\\n cases[i][2] = c[i];\\n cases[i + 1][3] = ap[i];\\n cases[i + 1][4] = bp[i];\\n cases[i + 1][5] = cp[i];\\n }\\n cases[8][0] = 0;\\n cases[8][1] = 0;\\n cases[8][2] = 0;\\n cases[0][3] = 0;\\n cases[0][4] = 0;\\n cases[0][5] = 0;\\n\\n RevealEvaluator re = new RevealEvaluator(cases);\\n\\n double rea = re.entropy(a);\\n assertEquals(1.0, rea, TOLERANCE);\\n System.out.println(\\\"H(a) = \\\" + rea); //Should be 1.0\\n\\n double reb = re.entropy(b);\\n assertEquals(1.0, reb, TOLERANCE);\\n System.out.println(\\\"H(b) = \\\" + reb); //Should be 1.0\\n\\n double rec = re.entropy(c);\\n assertEquals(1.0, rec, TOLERANCE);\\n System.out.println(\\\"H(c) = \\\" + rec); //Should be 1.0\\n\\n double reab = re.jointEntropy(a, b);\\n assertEquals(2.0, reab, TOLERANCE);\\n System.out.println(\\\"H(a,b) = \\\" + reab); //Should be 2.0\\n\\n double reap = re.entropy(ap);\\n assertEquals(1.0, reap, TOLERANCE);\\n System.out.println(\\\"H(ap) = \\\" + reap); //Should be 1.0\\n\\n double rebp = re.entropy(bp);\\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\\n System.out.println(\\\"H(bp) = \\\" + rebp); //Should be 0.8112781244591328\\n\\n double recp = re.entropy(cp);\\n assertEquals(1.0, recp, TOLERANCE);\\n System.out.println(\\\"H(cp) = \\\" + recp); //Should be 1.0\\n\\n double reapa = re.jointEntropy(ap, a);\\n assertEquals(2.0, reapa, TOLERANCE);\\n System.out.println(\\\"H(ap, a) = \\\" + reapa); //Should be 2.0\\n\\n double rebpb = re.jointEntropy(bp, b);\\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\\n System.out.println(\\n \\\"H(bp, b) = \\\" + rebpb); //Should be 1.8112781244591327\\n\\n double recpb = re.jointEntropy(cp, b);\\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\\n System.out.println(\\n \\\"H(cp, b) = \\\" + recpb); //Should be 1.8112781244591327\\n\\n int[][] ab = new int[2][8];\\n for (int i = 0; i < 8; i++) {\\n ab[0][i] = a[i];\\n ab[1][i] = b[i];\\n }\\n\\n double rebpab = re.jointEntropy(bp, ab);\\n assertEquals(2.5, rebpab, TOLERANCE);\\n System.out.println(\\\"H(bp, a, b) = \\\" + rebpab); //Should be 2.5\\n\\n double recpab = re.jointEntropy(cp, ab);\\n assertEquals(2.5, recpab, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b) = \\\" + recpab); //Should be 2.5\\n\\n int[][] abc = new int[3][8];\\n for (int i = 0; i < 8; i++) {\\n abc[0][i] = a[i];\\n abc[1][i] = b[i];\\n abc[2][i] = c[i];\\n }\\n\\n double recpabc = re.jointEntropy(cp, abc);\\n assertEquals(3.0, recpabc, TOLERANCE);\\n System.out.println(\\\"H(cp, a, b, c) = \\\" + recpabc); //Should be 3.0\\n\\n //Setup array cases and test mutualInformation\\n int[] p = new int[1];\\n p[0] = 0;\\n\\n double rembpa = re.mutualInformation(4, p, 1);\\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\\n System.out.println(\\n \\\"M(Bp, A) = \\\" + rembpa); //Should be 0.31127812445913294\\n\\n int[] pp = new int[2];\\n pp[0] = 0;\\n pp[1] = 1;\\n\\n double rmcpab = re.mutualInformation(5, pp, 1);\\n assertEquals(0.5, rmcpab, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B]) = \\\" + rmcpab); //Should be 0.5\\n\\n int[] ppp = new int[3];\\n ppp[0] = 0;\\n ppp[1] = 1;\\n ppp[2] = 2;\\n\\n double rmcpabc = re.mutualInformation(5, ppp, 1);\\n assertEquals(1.0, rmcpabc, TOLERANCE);\\n System.out.println(\\\"M(Cp, [A,B,C]) = \\\" + rmcpabc); //Should be 1.0\\n\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test051() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n public void test01() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"l*{e5SNh\\\");\\n boolean boolean0 = true;\\n discretize0.m_ClassIndex = 177;\\n discretize0.setUseEqualFrequency(true);\\n double[][] doubleArray0 = new double[5][9];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[0] = (double) 177;\\n doubleArray1[1] = (double) 177;\\n doubleArray1[2] = (double) 177;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[2];\\n doubleArray2[0] = (double) 177;\\n doubleArray2[1] = (double) 177;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[9];\\n doubleArray3[0] = (double) 177;\\n doubleArray3[1] = (double) 177;\\n doubleArray3[2] = (double) 177;\\n doubleArray3[3] = (double) 177;\\n doubleArray3[4] = (double) 177;\\n doubleArray3[5] = (double) 177;\\n doubleArray3[6] = (double) 177;\\n doubleArray3[7] = (double) 177;\\n doubleArray3[8] = (double) 177;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[8];\\n doubleArray4[0] = (double) 177;\\n doubleArray4[1] = (double) 177;\\n doubleArray4[2] = (double) 177;\\n doubleArray4[3] = (double) 177;\\n doubleArray4[4] = (double) 177;\\n doubleArray4[5] = (double) 177;\\n doubleArray4[6] = (double) 177;\\n doubleArray4[7] = (double) 177;\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[0];\\n doubleArray0[4] = doubleArray5;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.listOptions();\\n discretize0.setIgnoreClass(true);\\n String[] stringArray0 = new String[0];\\n Discretize.main(stringArray0);\\n discretize0.findNumBinsTipText();\\n discretize0.setInvertSelection(true);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(511);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 511\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.makeBinaryTipText();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"Make resulting attributes binary.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test(timeout = 4000)\\n public void test36() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n ProtectedProperties protectedProperties1 = new ProtectedProperties(protectedProperties0);\\n Attribute attribute0 = new Attribute(\\\"-\\\", \\\"-\\\", protectedProperties1);\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"(,Z;Xp#\\\\\\\"dxq[\\\", arrayList0, 1587);\\n boolean boolean0 = discretize0.setInputFormat(instances0);\\n boolean boolean1 = discretize0.batchFinished();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertTrue(boolean1 == boolean0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(boolean1);\\n }\",\n \"@Test(timeout = 4000)\\n public void test103() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0, doubleArray0.length);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test30() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.getDiscardPredictions();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n assertFalse(boolean0);\\n }\",\n \"@Test\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test\\n public void test21() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.errorRate();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test070() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 0.0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n byte[] byteArray0 = new byte[3];\\n byteArray0[0] = (byte)108;\\n byteArray0[1] = (byte)27;\\n byteArray0[2] = (byte)14;\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n discretize0.setBins((-830));\\n discretize0.getOptions();\\n assertEquals((-830), discretize0.getBins());\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_13() {\\n CuteNetlibCase.doTest(\\\"KEN-13.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.getRevision();\\n assertEquals(\\\"8964\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\\n assertNotNull(doubleArray0);\\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getBinRangesString(2607);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"@Test\\n public void test22() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FastVector fastVector0 = evaluation0.predictions();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getCutPoints((-2276));\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"public int getCoverage (){\\r\\n return coverage;\\r\\n }\",\n \"@Test(timeout = 4000)\\n public void test049() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderROC((-1));\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\\tInvert matching sense of column indexes.\\\");\\n discretize0.setOutputFormat();\\n discretize0.listOptions();\\n Discretize discretize1 = new Discretize();\\n discretize1.setIgnoreClass(false);\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\\tInvert matching sense of column indexes.\\\";\\n stringArray0[1] = \\\"\\\";\\n Discretize.main(stringArray0);\\n String string0 = discretize1.findNumBinsTipText();\\n assertEquals(\\\"Optimize number of equal-width bins using leave-one-out. Doesn't work for equal-frequency binning\\\", string0);\\n \\n discretize1.setInvertSelection(false);\\n discretize0.getBinRangesString(511);\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n \\n discretize1.getFindNumBins();\\n assertEquals(10, discretize1.getBins());\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_UseEqualFrequency = true;\\n discretize0.getOptions();\\n assertTrue(discretize0.getMakeBinary());\\n \\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"unstable\\\")\\n @Tag(\\\"bm1000\\\")\\n public void testTUFF() {\\n CuteNetlibCase.doTest(\\\"TUFF.SIF\\\", \\\"0.29214776509361284\\\", \\\"0.8949901867574317\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testKEN_11() {\\n CuteNetlibCase.doTest(\\\"KEN-11.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"'B1of2'\\\");\\n int[] intArray0 = new int[8];\\n intArray0[0] = 18;\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"'B1of2'\\\");\\n discretize0.listOptions();\\n String[] stringArray0 = discretize0.getOptions();\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(6, stringArray0.length);\\n }\",\n \"@Test\\n public void run () {\\n\\t \\n\\t System.out.println(\\\"---------->\\\");\\n\\t //System.out.println(md5list.getResult());\\n\\t //System.out.println(hashsearch.getResult());\\n\\t \\n\\t \\n\\t \\n\\t // System.out.println(samples.Testing());\\n\\t //System.out.println(\\\"getserult: \\\"+samples.getResult());\\n\\t \\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testD2Q06C() {\\n CuteNetlibCase.doTest(\\\"D2Q06C.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test041() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.fMeasure((-2765));\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.m_FindNumBins = true;\\n int[] intArray0 = new int[6];\\n intArray0[0] = (-388);\\n intArray0[1] = (-2121610348);\\n intArray0[2] = 11;\\n intArray0[3] = (-1);\\n intArray0[4] = 1062;\\n intArray0[5] = 70;\\n discretize0.setAttributeIndicesArray(intArray0);\\n discretize0.setDesiredWeightOfInstancesPerInterval((-1149.15832593));\\n discretize0.getOptions();\\n assertEquals((-1149.15832593), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSC105() {\\n CuteNetlibCase.doTest(\\\"SC105.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test006() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.weightedAreaUnderPRC();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n\\tpublic void testGetCounts() {\\n\\t\\tString cellBC = \\\"ATCAGGGACAGA\\\";\\n\\n\\t\\tint snpPos = 76227022;\\n\\t\\tInterval snpInterval = new Interval(\\\"HUMAN_1\\\", snpPos, snpPos, true, \\\"test\\\");\\n\\t\\tSampleGenotypeProbabilities result = new SampleGenotypeProbabilities(snpInterval, cellBC);\\n\\t\\tSNPUMIBasePileup p = getPileUpFromFile(cellBC, \\\"CGGGGCTC\\\");\\n\\t\\tp.addLocusFunction(LocusFunction.CODING);\\n\\t\\tresult.add(p);\\n\\t\\tresult.add(getPileUpFromFile(cellBC, \\\"CGCGGGAC\\\")); // this read doesn't overlap the SNP so it isn't added!\\n\\t\\tresult.add(getPileUpFromFile(cellBC, \\\"CTGGGCTC\\\"));\\n\\t\\tresult.add(getPileUpFromFile(cellBC, \\\"GGAATGTG\\\"));\\n\\t\\tresult.add(getPileUpFromFile(cellBC, \\\"GTGCCGTG\\\"));\\n\\t\\tresult.add(getPileUpFromFile(cellBC, \\\"TCGCAGAC\\\"));\\n\\n\\t\\t// the code coverage gods are pleased.\\n\\t\\tAssert.assertEquals(result.getCell(), cellBC);\\n\\t\\tAssert.assertEquals(result.getSNPInterval(), snpInterval);\\n\\n\\t\\tAssert.assertNotNull(result.toString());\\n\\n\\t\\t// get the unfiltered results.\\n\\t\\tObjectCounter<Character> umiCounts = result.getUMIBaseCounts();\\n\\t\\tObjectCounter<Character> umiCountsExpected = new ObjectCounter<>();\\n\\t\\tumiCountsExpected.incrementByCount('A', 2);\\n\\t\\tumiCountsExpected.incrementByCount('G', 3);\\n\\t\\tAssert.assertEquals(umiCounts, umiCountsExpected);\\n\\n\\t\\tObjectCounter<Character> readCounts = result.getReadBaseCounts();\\n\\t\\tObjectCounter<Character> readCountsExpected = new ObjectCounter<>();\\n\\t\\treadCountsExpected.incrementByCount('A', 2);\\n\\t\\treadCountsExpected.incrementByCount('G', 5);\\n\\t\\tAssert.assertEquals(readCounts, readCountsExpected);\\n\\n\\t\\tSet<LocusFunction> expected = new HashSet<>(Arrays.asList(LocusFunction.CODING));\\n\\t\\tAssert.assertEquals(result.getLocusFunctions(), expected);\\n\\n\\t}\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testDEGEN2() {\\n CuteNetlibCase.doTest(\\\"DEGEN2.SIF\\\", \\\"-1435.1779999999999\\\", \\\"-1226.12\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n double[][] doubleArray0 = new double[8][8];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[2] = 1421.4058829;\\n doubleArray0[1] = doubleArray1;\\n double[] doubleArray2 = new double[9];\\n doubleArray2[1] = 1.7976931348623157E308;\\n doubleArray2[2] = 0.0;\\n doubleArray2[5] = (-236.4995664359);\\n doubleArray2[7] = 1421.4058829;\\n doubleArray0[3] = doubleArray2;\\n double[] doubleArray3 = new double[3];\\n doubleArray3[0] = 0.0;\\n doubleArray3[1] = (-236.4995664359);\\n doubleArray0[4] = doubleArray3;\\n double[] doubleArray4 = new double[21];\\n doubleArray4[0] = 1421.4058829;\\n doubleArray3[2] = (-236.4995664359);\\n doubleArray4[4] = 1.7976931348623157E308;\\n doubleArray0[7] = doubleArray4;\\n discretize0.m_NumBins = 162;\\n doubleArray0[1] = doubleArray4;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.getBinRangesString(1);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testAGG3() {\\n CuteNetlibCase.doTest(\\\"AGG3.SIF\\\", \\\"1.031211593508922E7\\\", \\\"5.746768863949547E9\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test(timeout = 4000)\\n public void test088() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.KBRelativeInformation();\\n assertEquals(0.0, double0, 0.01);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.73137224","0.72010595","0.68496454","0.6823165","0.67899793","0.67495704","0.674108","0.672731","0.67149144","0.66823226","0.6677289","0.66733545","0.66728103","0.66400534","0.66138005","0.6611434","0.66113627","0.65913385","0.65772414","0.6549945","0.6533477","0.64958334","0.6490071","0.6484198","0.64419776","0.6428452","0.6416346","0.6410822","0.6393362","0.63633394","0.63506997","0.63415205","0.6341235","0.63193846","0.63151157","0.63012755","0.626406","0.6252337","0.6251413","0.6234712","0.6223635","0.6222661","0.6221257","0.62110156","0.62053424","0.61983156","0.61949044","0.61927855","0.6192066","0.61682194","0.6167008","0.61635745","0.61590546","0.61478174","0.6136424","0.613244","0.6132254","0.6117218","0.6112777","0.61098737","0.6094102","0.6092669","0.6092567","0.6087652","0.6087555","0.6080042","0.60796523","0.6065721","0.6051738","0.60489416","0.6046248","0.60393345","0.6016283","0.6008026","0.5993604","0.5990638","0.5988561","0.59884477","0.59709334","0.5967663","0.5950168","0.5945637","0.5944031","0.59395313","0.59313184","0.59296143","0.59274924","0.5917769","0.59149766","0.5910933","0.5906601","0.5906211","0.589637","0.5881234","0.5873212","0.587009","0.58609986","0.5848774","0.584393","0.5842154","0.5840955"],"string":"[\n \"0.73137224\",\n \"0.72010595\",\n \"0.68496454\",\n \"0.6823165\",\n \"0.67899793\",\n \"0.67495704\",\n \"0.674108\",\n \"0.672731\",\n \"0.67149144\",\n \"0.66823226\",\n \"0.6677289\",\n \"0.66733545\",\n \"0.66728103\",\n \"0.66400534\",\n \"0.66138005\",\n \"0.6611434\",\n \"0.66113627\",\n \"0.65913385\",\n \"0.65772414\",\n \"0.6549945\",\n \"0.6533477\",\n \"0.64958334\",\n \"0.6490071\",\n \"0.6484198\",\n \"0.64419776\",\n \"0.6428452\",\n \"0.6416346\",\n \"0.6410822\",\n \"0.6393362\",\n \"0.63633394\",\n \"0.63506997\",\n \"0.63415205\",\n \"0.6341235\",\n \"0.63193846\",\n \"0.63151157\",\n \"0.63012755\",\n \"0.626406\",\n \"0.6252337\",\n \"0.6251413\",\n \"0.6234712\",\n \"0.6223635\",\n \"0.6222661\",\n \"0.6221257\",\n \"0.62110156\",\n \"0.62053424\",\n \"0.61983156\",\n \"0.61949044\",\n \"0.61927855\",\n \"0.6192066\",\n \"0.61682194\",\n \"0.6167008\",\n \"0.61635745\",\n \"0.61590546\",\n \"0.61478174\",\n \"0.6136424\",\n \"0.613244\",\n \"0.6132254\",\n \"0.6117218\",\n \"0.6112777\",\n \"0.61098737\",\n \"0.6094102\",\n \"0.6092669\",\n \"0.6092567\",\n \"0.6087652\",\n \"0.6087555\",\n \"0.6080042\",\n \"0.60796523\",\n \"0.6065721\",\n \"0.6051738\",\n \"0.60489416\",\n \"0.6046248\",\n \"0.60393345\",\n \"0.6016283\",\n \"0.6008026\",\n \"0.5993604\",\n \"0.5990638\",\n \"0.5988561\",\n \"0.59884477\",\n \"0.59709334\",\n \"0.5967663\",\n \"0.5950168\",\n \"0.5945637\",\n \"0.5944031\",\n \"0.59395313\",\n \"0.59313184\",\n \"0.59296143\",\n \"0.59274924\",\n \"0.5917769\",\n \"0.59149766\",\n \"0.5910933\",\n \"0.5906601\",\n \"0.5906211\",\n \"0.589637\",\n \"0.5881234\",\n \"0.5873212\",\n \"0.587009\",\n \"0.58609986\",\n \"0.5848774\",\n \"0.584393\",\n \"0.5842154\",\n \"0.5840955\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":1193,"numItemsPerPage":100,"numTotalItems":136513,"offset":119300,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6IjVHZDBvd0g5MTM2eDZjc1FvbE1zcktNWUZoRVFoUm5PVVVybEpjOUhaUEEifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc4NjU3MjAzOSwianRpIjoiN2NiMDUxMTItNWZjZS00MzA3LTlkZjctYjBiMGNmZTE1MTY5Iiwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1qYXZhLXYxIiwiZXhwIjoxNzg2NTc1NjM5LCJpc3MiOiJodHRwczovL2h1Z2dpbmdmYWNlLmNvIn0.fOz47zqOQY7heHo8VdNCZNkceg38q04tyQ3UPZ1vxldDPcgBwLuct7Yrjpc6XyLae1j6sIby6rD_KkEvh_jRCw","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":136513,"numBytesParquet":1558040430}]},"discussionsStats":{"closed":0,"open":1,"total":1},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 7 33.1k | document stringlengths 7 335k | metadata dict | negatives listlengths 3 101 | negative_scores listlengths 3 101 | document_score stringlengths 3 10 | document_rank stringclasses 102
values |
|---|---|---|---|---|---|---|
Test case number: 47 /Coverage entropy=2.351673301904631 | @Test(timeout = 4000)
public void test047() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(":_]J_/L!uFQ7%)BrL");
xPathLexer0.consume((-4749));
// Undeclared exception!
try {
xPathLexer0.identifierOrOperatorName();
fail("Expecting exception: StringIndexOutOfBounds... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7363925",
"0.72099996",
"0.69783765",
"0.69196117",
"0.6883366",
"0.68793076",
"0.68685037",
"0.68677783",
"0.68661404",
"0.68177694",
"0.6801588",
"0.67914414",
"0.67902935",
"0.6779106",
"0.6754882",
"0.6729946",
"0.67145807",
"0.670725",
"0.66899747",
"0.6651243",
"0.66... | 0.0 | -1 |
Test case number: 48 /Coverage entropy=2.2538575896013526 | @Test(timeout = 4000)
public void test048() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume((-1825));
// Undeclared exception!
try {
xPathLexer0.identifierOrOperatorName();
fail("Expecting exception: NullPointerException");
} ca... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7418638",
"0.7278668",
"0.6893317",
"0.68920064",
"0.68834203",
"0.682096",
"0.6797273",
"0.6792352",
"0.6786005",
"0.67689276",
"0.6758995",
"0.6720589",
"0.671494",
"0.67069715",
"0.66472095",
"0.6640647",
"0.6638134",
"0.66062105",
"0.66046697",
"0.65905845",
"0.6576569... | 0.0 | -1 |
Test case number: 49 /Coverage entropy=2.1639556568820564 | @Test(timeout = 4000)
public void test049() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(">>yh88W0GKz~{herR");
xPathLexer0.consume((-2376));
// Undeclared exception!
try {
xPathLexer0.identifier();
fail("Expecting exception: StringIndexOutOfBoundsException");
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7356445",
"0.72040635",
"0.6919906",
"0.6909159",
"0.68862367",
"0.68494314",
"0.68415934",
"0.682458",
"0.68059915",
"0.67934275",
"0.6764417",
"0.67150474",
"0.6712515",
"0.66986096",
"0.66975576",
"0.66841316",
"0.66820633",
"0.6641441",
"0.66270417",
"0.6602912",
"0.65... | 0.0 | -1 |
Test case number: 50 /Coverage entropy=2.0431918705451206 | @Test(timeout = 4000)
public void test050() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume((-2376));
// Undeclared exception!
try {
xPathLexer0.identifier();
fail("Expecting exception: NullPointerException");
} catch(NullPointe... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72252274",
"0.7071027",
"0.7067376",
"0.6942058",
"0.6867206",
"0.68423593",
"0.67616355",
"0.66994536",
"0.6685649",
"0.66768026",
"0.6648809",
"0.6646103",
"0.6641546",
"0.6635486",
"0.6622576",
"0.6598409",
"0.65972954",
"0.6593594",
"0.6584333",
"0.65067625",
"0.650270... | 0.0 | -1 |
Test case number: 51 /Coverage entropy=2.0794415416798357 | @Test(timeout = 4000)
public void test051() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("hN!SM~8ux(wB");
xPathLexer0.consume((-3975));
// Undeclared exception!
try {
xPathLexer0.dots();
fail("Expecting exception: StringIndexOutOfBoundsException");
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7287052",
"0.7175011",
"0.69749695",
"0.68954635",
"0.6878252",
"0.68414795",
"0.6795853",
"0.6779494",
"0.6772293",
"0.6765405",
"0.67486006",
"0.6735879",
"0.67223203",
"0.67010045",
"0.6678606",
"0.66496885",
"0.6648958",
"0.66279304",
"0.6603183",
"0.65990615",
"0.6577... | 0.0 | -1 |
Test case number: 52 /Coverage entropy=2.0794415416798357 | @Test(timeout = 4000)
public void test052() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(":E<;");
xPathLexer0.consume((-5675));
// Undeclared exception!
try {
xPathLexer0.and();
fail("Expecting exception: StringIndexOutOfBoundsException");
} catch... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7318081",
"0.72306794",
"0.6897161",
"0.6886311",
"0.6860167",
"0.6810872",
"0.67980564",
"0.676327",
"0.67494416",
"0.6746057",
"0.67185366",
"0.6701689",
"0.67013836",
"0.66969824",
"0.6688931",
"0.6686832",
"0.6674053",
"0.6667706",
"0.6619157",
"0.6601995",
"0.659383",... | 0.0 | -1 |
Test case number: 53 /Coverage entropy=1.945910149055313 | @Test(timeout = 4000)
public void test053() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume((-2013));
// Undeclared exception!
try {
xPathLexer0.and();
fail("Expecting exception: NullPointerException");
} catch(NullPointerExcept... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.739344",
"0.7244274",
"0.70605725",
"0.69617224",
"0.69435817",
"0.6913223",
"0.68974507",
"0.68790835",
"0.6866012",
"0.68554556",
"0.6847994",
"0.682444",
"0.682328",
"0.68224484",
"0.6819078",
"0.68038666",
"0.6794746",
"0.678402",
"0.6778201",
"0.6777129",
"0.676332",
... | 0.0 | -1 |
Test case number: 54 /Coverage entropy=1.6094379124341005 | @Test(timeout = 4000)
public void test054() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
// Undeclared exception!
try {
xPathLexer0.LA((-1090));
fail("Expecting exception: NullPointerException");
} catch(NullPointerException e) {
//
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7375049",
"0.72461677",
"0.6972409",
"0.6954417",
"0.6917974",
"0.69096154",
"0.6891939",
"0.68649036",
"0.6823817",
"0.6805302",
"0.6801976",
"0.6801094",
"0.6789089",
"0.67868364",
"0.67853683",
"0.6779425",
"0.6777747",
"0.6758319",
"0.6752442",
"0.67133164",
"0.6685382... | 0.0 | -1 |
Test case number: 55 /Coverage entropy=0.6931471805599453 | @Test(timeout = 4000)
public void test055() throws Throwable {
XPathLexer xPathLexer0 = null;
try {
xPathLexer0 = new XPathLexer((String) null);
fail("Expecting exception: NullPointerException");
} catch(NullPointerException e) {
//
// no message in excepti... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.741109",
"0.7236562",
"0.6967052",
"0.6963909",
"0.6959966",
"0.69368696",
"0.6893596",
"0.68881077",
"0.6881512",
"0.6871223",
"0.6806976",
"0.6797284",
"0.67758554",
"0.6772428",
"0.6769805",
"0.6756189",
"0.67416626",
"0.6703845",
"0.66995925",
"0.6688483",
"0.66765857"... | 0.0 | -1 |
Test case number: 56 /Coverage entropy=2.0636495704788542 | @Test(timeout = 4000)
public void test056() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("2zN4KMC-?7MaZH(AJF*");
Token token0 = xPathLexer0.identifier();
assertEquals(15, token0.getTokenType());
assertEquals("2zN4KMC-", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72725534",
"0.71613806",
"0.6828848",
"0.68231726",
"0.6821263",
"0.6761192",
"0.6746855",
"0.67052925",
"0.669776",
"0.6672001",
"0.66584384",
"0.6657301",
"0.6656869",
"0.66446203",
"0.66417825",
"0.6625095",
"0.66104823",
"0.6602074",
"0.65953696",
"0.6585773",
"0.65637... | 0.0 | -1 |
Test case number: 57 /Coverage entropy=2.0431918705451206 | @Test(timeout = 4000)
public void test057() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("P/-a/");
Token token0 = xPathLexer0.slashes();
assertEquals("P/", token0.getTokenText());
assertEquals(12, token0.getTokenType());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72980946",
"0.71655536",
"0.6916653",
"0.6868951",
"0.68464756",
"0.6817547",
"0.6780328",
"0.6778966",
"0.67756724",
"0.67566633",
"0.6750036",
"0.6732636",
"0.6727116",
"0.67263573",
"0.6721892",
"0.6714027",
"0.67045856",
"0.6671596",
"0.6656202",
"0.66332614",
"0.66286... | 0.0 | -1 |
Test case number: 58 /Coverage entropy=2.1458417525947544 | @Test(timeout = 4000)
public void test058() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("rV.:Q-");
Token token0 = xPathLexer0.slashes();
assertEquals(11, token0.getTokenType());
assertEquals("r", token0.getTokenText());
Token token1 = xPathLexer0.dots();
ass... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7350675",
"0.72026634",
"0.68922305",
"0.6880421",
"0.6874206",
"0.6857544",
"0.6852045",
"0.6796979",
"0.67944366",
"0.67822945",
"0.6750999",
"0.6735098",
"0.67329943",
"0.6731799",
"0.6707571",
"0.6704128",
"0.6693084",
"0.6686439",
"0.66854167",
"0.6665765",
"0.6652465... | 0.0 | -1 |
Test case number: 59 /Coverage entropy=1.8937882323911377 | @Test(timeout = 4000)
public void test059() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("<= ");
Token token0 = xPathLexer0.relationalOperator();
assertEquals(8, token0.getTokenType());
assertNotNull(token0);
assertEquals("<=", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73781914",
"0.7226514",
"0.692987",
"0.6879622",
"0.68708074",
"0.6830321",
"0.6827152",
"0.6821643",
"0.6803156",
"0.68003035",
"0.6783593",
"0.677361",
"0.67662126",
"0.67590606",
"0.67477226",
"0.6745819",
"0.67418736",
"0.6741205",
"0.6692402",
"0.66823334",
"0.6646051... | 0.0 | -1 |
Test case number: 60 /Coverage entropy=1.242453324894 | @Test(timeout = 4000)
public void test060() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
Token token0 = xPathLexer0.relationalOperator();
assertNull(token0);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73026514",
"0.71574473",
"0.7092834",
"0.6917981",
"0.6838417",
"0.68163085",
"0.6807762",
"0.67713404",
"0.67699325",
"0.6724186",
"0.6715485",
"0.66600454",
"0.6648561",
"0.66454214",
"0.6631451",
"0.66273075",
"0.66079676",
"0.65884495",
"0.6580287",
"0.6579315",
"0.657... | 0.0 | -1 |
Test case number: 61 /Coverage entropy=1.7328679513998633 | @Test(timeout = 4000)
public void test061() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(") (");
Token token0 = xPathLexer0.whitespace();
assertEquals("", token0.getTokenText());
assertEquals((-2), token0.getTokenType());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7466658",
"0.73103017",
"0.6988145",
"0.69847274",
"0.6969495",
"0.6943967",
"0.69412565",
"0.6910683",
"0.6898353",
"0.68914247",
"0.6869624",
"0.68695897",
"0.68552715",
"0.68344754",
"0.68184406",
"0.6804276",
"0.67970705",
"0.6767819",
"0.6759763",
"0.675689",
"0.67124... | 0.0 | -1 |
Test case number: 62 /Coverage entropy=2.1972245773362196 | @Test(timeout = 4000)
public void test062() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("hN!SM~8ux(wB");
xPathLexer0.consume(2033);
Token token0 = xPathLexer0.whitespace();
assertEquals((-2), token0.getTokenType());
assertEquals("", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7447513",
"0.7225358",
"0.6918303",
"0.6888129",
"0.68574905",
"0.68468297",
"0.68141633",
"0.68073696",
"0.6787135",
"0.67842644",
"0.6781675",
"0.6758476",
"0.673071",
"0.6729135",
"0.6711299",
"0.67025983",
"0.6667158",
"0.6628194",
"0.6605852",
"0.65919346",
"0.6572279... | 0.0 | -1 |
Test case number: 63 /Coverage entropy=1.14839214282331 | @Test(timeout = 4000)
public void test063() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("/a");
Token token0 = xPathLexer0.number();
assertEquals(30, token0.getTokenType());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7524908",
"0.7244591",
"0.69988906",
"0.69673014",
"0.6961109",
"0.6921976",
"0.6910206",
"0.68832487",
"0.68792707",
"0.68764013",
"0.68684834",
"0.6854847",
"0.6813131",
"0.68112195",
"0.6800153",
"0.6799092",
"0.67888314",
"0.67796034",
"0.67579186",
"0.67283875",
"0.66... | 0.0 | -1 |
Test case number: 64 /Coverage entropy=1.945910149055313 | @Test(timeout = 4000)
public void test064() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("zO=t1k%z[");
Token token0 = xPathLexer0.or();
assertNull(token0);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.74344647",
"0.7182591",
"0.6891592",
"0.6796882",
"0.6786892",
"0.6779551",
"0.67794573",
"0.67564917",
"0.6739619",
"0.6737542",
"0.6734947",
"0.67173725",
"0.6705168",
"0.6672339",
"0.6654539",
"0.6634819",
"0.6604576",
"0.6601744",
"0.6569577",
"0.65683705",
"0.6534389"... | 0.0 | -1 |
Test case number: 65 /Coverage entropy=1.3862943611198906 | @Test(timeout = 4000)
public void test065() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
Token token0 = xPathLexer0.and();
assertNull(token0);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72739893",
"0.71195775",
"0.69283175",
"0.6850644",
"0.6837912",
"0.67945963",
"0.6776825",
"0.6732682",
"0.672594",
"0.6696664",
"0.66936886",
"0.6689797",
"0.665481",
"0.6637919",
"0.6627864",
"0.6604169",
"0.65985703",
"0.65883946",
"0.6583857",
"0.6583162",
"0.6576188"... | 0.0 | -1 |
Test case number: 66 /Coverage entropy=2.1972245773362196 | @Test(timeout = 4000)
public void test066() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("d>%NV0");
xPathLexer0.leftParen();
Token token0 = xPathLexer0.div();
assertNull(token0);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7268256",
"0.71415424",
"0.6903351",
"0.6843949",
"0.68049634",
"0.679078",
"0.67884505",
"0.6731795",
"0.6719358",
"0.6710523",
"0.6691624",
"0.66908884",
"0.66615367",
"0.6661504",
"0.66567713",
"0.6654758",
"0.6636085",
"0.66191685",
"0.6591509",
"0.6586879",
"0.6552004... | 0.0 | -1 |
Test case number: 67 /Coverage entropy=1.945910149055313 | @Test(timeout = 4000)
public void test067() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
Token token0 = xPathLexer0.mod();
assertNull(token0);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7304449",
"0.7165611",
"0.6922294",
"0.6889739",
"0.68531674",
"0.6786195",
"0.67829865",
"0.67623276",
"0.6751144",
"0.6750271",
"0.67433715",
"0.6711684",
"0.67108846",
"0.669167",
"0.66847134",
"0.6682761",
"0.6676203",
"0.66478956",
"0.66396594",
"0.66324073",
"0.66264... | 0.0 | -1 |
Test case number: 68 /Coverage entropy=0.8946930874149315 | @Test(timeout = 4000)
public void test068() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("Y44o{5$K");
xPathLexer0.leftParen();
xPathLexer0.nextToken();
Token token0 = xPathLexer0.operatorName();
assertNull(token0);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72676206",
"0.7157432",
"0.6846942",
"0.68356055",
"0.6810678",
"0.67771786",
"0.67400956",
"0.67375636",
"0.67344844",
"0.67312354",
"0.6683256",
"0.6679901",
"0.6678296",
"0.66765314",
"0.6668874",
"0.66591144",
"0.66519636",
"0.6647581",
"0.66447467",
"0.66278356",
"0.6... | 0.0 | -1 |
Test case number: 69 /Coverage entropy=1.1840517686397884 | @Test(timeout = 4000)
public void test069() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.nextToken();
xPathLexer0.setXPath("y]jad[mR3w=N");
xPathLexer0.leftParen();
xPathLexer0.doubleColon();
xPathLexer0.pipe();
xPathLexer0.consume();
xPat... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72389144",
"0.7131865",
"0.68746185",
"0.6835975",
"0.6782575",
"0.67674166",
"0.67517835",
"0.6749079",
"0.67448324",
"0.67289937",
"0.6728428",
"0.6727971",
"0.6727549",
"0.67270184",
"0.6656286",
"0.66498053",
"0.66464615",
"0.6644649",
"0.66426283",
"0.6638766",
"0.663... | 0.0 | -1 |
Test case number: 70 /Coverage entropy=1.1270640332587987 | @Test(timeout = 4000)
public void test070() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.nextToken();
xPathLexer0.setXPath("y]jad[mR3w=N");
xPathLexer0.leftParen();
xPathLexer0.doubleColon();
Token token0 = xPathLexer0.identifierOrOperatorName();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7311289",
"0.7214781",
"0.7055478",
"0.6993461",
"0.69459856",
"0.6918758",
"0.68988794",
"0.6866163",
"0.68524444",
"0.68332756",
"0.681777",
"0.6794478",
"0.6792167",
"0.678927",
"0.67777896",
"0.6776289",
"0.6764497",
"0.6750079",
"0.6732462",
"0.6718024",
"0.6691311",
... | 0.0 | -1 |
Test case number: 71 /Coverage entropy=1.6617243508408022 | @Test(timeout = 4000)
public void test071() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
xPathLexer0.pipe();
xPathLexer0.slashes();
xPathLexer0.minus();
Token token0 = xPathLexer0.number();
xPathLexer0.setPreviousToken(token0);
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72526914",
"0.71218014",
"0.6933647",
"0.684195",
"0.682272",
"0.68055886",
"0.67784715",
"0.6761685",
"0.6747716",
"0.6743994",
"0.6739626",
"0.6738966",
"0.6717477",
"0.67079544",
"0.66969293",
"0.6679726",
"0.6666632",
"0.66661",
"0.6643072",
"0.663749",
"0.66039854",
... | 0.0 | -1 |
Test case number: 72 /Coverage entropy=1.202680583397315 | @Test(timeout = 4000)
public void test072() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(":_]J_/L!uFQ7%)BrL");
Token token0 = xPathLexer0.minus();
assertEquals(":", token0.getTokenText());
assertEquals(6, token0.getTokenType());
Token token1 = xPathLexer0.literal()... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7414749",
"0.7309853",
"0.69634515",
"0.69430286",
"0.68952376",
"0.6875498",
"0.6875022",
"0.6857802",
"0.6855417",
"0.6845399",
"0.68133366",
"0.6807556",
"0.68007034",
"0.6790998",
"0.6773736",
"0.6770674",
"0.6751731",
"0.6746974",
"0.67431045",
"0.673501",
"0.66942954... | 0.0 | -1 |
Test case number: 73 /Coverage entropy=1.1797269776294954 | @Test(timeout = 4000)
public void test073() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("zO=t1k%z[");
Token token0 = xPathLexer0.star();
assertEquals(20, token0.getTokenType());
assertEquals("z", token0.getTokenText());
Token token1 = xPathLexer0.dollar();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7388803",
"0.7272834",
"0.70266145",
"0.6914292",
"0.69120085",
"0.6891148",
"0.68649954",
"0.68639547",
"0.6845481",
"0.6836483",
"0.68261105",
"0.6813221",
"0.6794172",
"0.67905974",
"0.67890155",
"0.67724496",
"0.6767178",
"0.6743795",
"0.6727903",
"0.6714004",
"0.67083... | 0.0 | -1 |
Test case number: 74 /Coverage entropy=1.4204552241466717 | @Test(timeout = 4000)
public void test074() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(") (");
Token token0 = xPathLexer0.notEquals();
xPathLexer0.setPreviousToken(token0);
assertEquals(") ", token0.getTokenText());
assertEquals(22, token0.getTokenType());
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7274219",
"0.72134405",
"0.69239277",
"0.69008714",
"0.68882734",
"0.6822542",
"0.6802358",
"0.6800823",
"0.6796774",
"0.6789015",
"0.67874247",
"0.6769706",
"0.6764163",
"0.6743845",
"0.67278636",
"0.6706141",
"0.6689941",
"0.66874963",
"0.66850924",
"0.66632795",
"0.6654... | 0.0 | -1 |
Test case number: 75 /Coverage entropy=1.4204552241466717 | @Test(timeout = 4000)
public void test075() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(") (");
Token token0 = xPathLexer0.equals();
xPathLexer0.setPreviousToken(token0);
assertEquals(21, token0.getTokenType());
assertEquals(")", token0.getTokenText());
Toke... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7247542",
"0.71360946",
"0.6935183",
"0.69300884",
"0.6889267",
"0.68319374",
"0.6819459",
"0.67977697",
"0.67463416",
"0.67266816",
"0.67208964",
"0.67159486",
"0.671178",
"0.67089707",
"0.668589",
"0.6683731",
"0.6672414",
"0.66525096",
"0.663863",
"0.66039944",
"0.65888... | 0.0 | -1 |
Test case number: 76 /Coverage entropy=1.4204552241466717 | @Test(timeout = 4000)
public void test076() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("5!");
Token token0 = xPathLexer0.star();
xPathLexer0.setPreviousToken(token0);
assertEquals(20, token0.getTokenType());
assertEquals("5", token0.getTokenText());
Token t... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72304183",
"0.7198715",
"0.68584925",
"0.68410957",
"0.6817129",
"0.6790226",
"0.6750154",
"0.6693745",
"0.6687139",
"0.6686431",
"0.66839254",
"0.6661351",
"0.6656905",
"0.665595",
"0.6655187",
"0.664426",
"0.66385293",
"0.6618213",
"0.65977436",
"0.6595274",
"0.65718037"... | 0.0 | -1 |
Test case number: 77 /Coverage entropy=1.4921239891568494 | @Test(timeout = 4000)
public void test077() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(">6_XdrPl");
Token token0 = xPathLexer0.doubleColon();
xPathLexer0.setPreviousToken(token0);
assertEquals(">6", token0.getTokenText());
assertEquals(19, token0.getTokenType());
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7367925",
"0.72351307",
"0.69735736",
"0.6915467",
"0.68927205",
"0.6874434",
"0.68360955",
"0.68236774",
"0.6819008",
"0.6813151",
"0.6795642",
"0.6778894",
"0.67226815",
"0.6715231",
"0.67048436",
"0.6704711",
"0.6702243",
"0.66305345",
"0.6629209",
"0.66213894",
"0.6617... | 0.0 | -1 |
Test case number: 78 /Coverage entropy=1.1448539829858242 | @Test(timeout = 4000)
public void test078() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
Token token0 = xPathLexer0.pipe();
xPathLexer0.setPreviousToken(token0);
assertEquals(17, token0.getTokenType());
assertEquals("c", token0.getTokenTe... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73373127",
"0.7273265",
"0.6934084",
"0.6893417",
"0.68886375",
"0.68631655",
"0.68502814",
"0.68275464",
"0.6807018",
"0.68037647",
"0.6785686",
"0.677543",
"0.67719364",
"0.67620856",
"0.67401206",
"0.6734688",
"0.67261416",
"0.6705117",
"0.6686221",
"0.66846615",
"0.667... | 0.0 | -1 |
Test case number: 79 /Coverage entropy=1.4204552241466717 | @Test(timeout = 4000)
public void test079() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(") (");
Token token0 = xPathLexer0.at();
xPathLexer0.setPreviousToken(token0);
assertEquals(")", token0.getTokenText());
assertEquals(16, token0.getTokenType());
Token to... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7263765",
"0.71825945",
"0.69502425",
"0.6865827",
"0.68032557",
"0.6800924",
"0.67933327",
"0.6776104",
"0.6749401",
"0.6735947",
"0.67295796",
"0.6725722",
"0.67191505",
"0.67174304",
"0.67140776",
"0.6708388",
"0.6706363",
"0.6694642",
"0.6689684",
"0.6628035",
"0.65975... | 0.0 | -1 |
Test case number: 80 /Coverage entropy=1.0975530721021158 | @Test(timeout = 4000)
public void test080() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("y/F+oSztXWDMo}00{5-");
Token token0 = xPathLexer0.leftParen();
assertEquals("y", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.nex... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.71974105",
"0.7055634",
"0.6922698",
"0.68027616",
"0.67912495",
"0.67873675",
"0.6783276",
"0.67546046",
"0.67319804",
"0.6661413",
"0.6631115",
"0.66212124",
"0.6613483",
"0.66111356",
"0.65791166",
"0.65716314",
"0.6567546",
"0.6557833",
"0.65424263",
"0.6522535",
"0.65... | 0.0 | -1 |
Test case number: 81 /Coverage entropy=1.1605070899594587 | @Test(timeout = 4000)
public void test081() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("fEp<jmD0Y<2");
Token token0 = xPathLexer0.rightParen();
assertEquals("f", token0.getTokenText());
assertEquals(2, token0.getTokenType());
Token token1 = xPathLexer0.notEquals(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73138803",
"0.7157526",
"0.6982103",
"0.68287563",
"0.6825987",
"0.68230176",
"0.6819318",
"0.68170446",
"0.67746156",
"0.6766506",
"0.6763542",
"0.6762974",
"0.6750475",
"0.67225707",
"0.6722078",
"0.6715765",
"0.6712135",
"0.6658315",
"0.66165847",
"0.6611348",
"0.657453... | 0.0 | -1 |
Test case number: 82 /Coverage entropy=1.4204552241466717 | @Test(timeout = 4000)
public void test082() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(") (");
Token token0 = xPathLexer0.minus();
xPathLexer0.setPreviousToken(token0);
assertEquals(6, token0.getTokenType());
assertEquals(")", token0.getTokenText());
Token ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.71963584",
"0.7162232",
"0.6904089",
"0.68563646",
"0.681079",
"0.6808895",
"0.677334",
"0.6753324",
"0.6726519",
"0.67239434",
"0.6723438",
"0.66911125",
"0.6688529",
"0.66880697",
"0.668613",
"0.6659099",
"0.6650503",
"0.6637611",
"0.6632901",
"0.66272855",
"0.6584204",
... | 0.0 | -1 |
Test case number: 83 /Coverage entropy=1.025705948934909 | @Test(timeout = 4000)
public void test083() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(".s,=X(+aojF=");
Token token0 = xPathLexer0.rightBracket();
xPathLexer0.setPreviousToken(token0);
assertEquals(4, token0.getTokenType());
assertEquals(".", token0.getTokenText());
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73350227",
"0.72484773",
"0.69681966",
"0.6943404",
"0.68898875",
"0.6831642",
"0.6805754",
"0.68013537",
"0.6797627",
"0.6758442",
"0.67579216",
"0.6753463",
"0.6750965",
"0.6739591",
"0.67351097",
"0.6718653",
"0.669814",
"0.6681325",
"0.6663217",
"0.6629006",
"0.6628032... | 0.0 | -1 |
Test case number: 84 /Coverage entropy=1.28072953486328 | @Test(timeout = 4000)
public void test084() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("(xA>7o;9b=;e*Y(m");
Token token0 = xPathLexer0.rightParen();
xPathLexer0.setPreviousToken(token0);
Token token1 = xPathLexer0.identifierOrOperatorName();
assertNull(token1);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7228001",
"0.71380985",
"0.6852897",
"0.6804245",
"0.67766345",
"0.67554575",
"0.6722868",
"0.6707573",
"0.66958857",
"0.6679659",
"0.667957",
"0.6670054",
"0.6662247",
"0.6636369",
"0.6634133",
"0.6622273",
"0.6616707",
"0.6605031",
"0.6587978",
"0.6523855",
"0.65127236",... | 0.0 | -1 |
Test case number: 85 /Coverage entropy=1.076145268495466 | @Test(timeout = 4000)
public void test085() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
xPathLexer0.setXPath("[ (2) (c)");
Token token0 = xPathLexer0.notEquals();
assertEquals(22, token0.getTokenType());
assertEquals("[ ", token0.getToke... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7145729",
"0.70290065",
"0.6920062",
"0.68552905",
"0.6829903",
"0.6779126",
"0.67529964",
"0.6684391",
"0.6667142",
"0.6660519",
"0.6633699",
"0.66253906",
"0.6614454",
"0.66127765",
"0.6609694",
"0.6608243",
"0.66034496",
"0.6596409",
"0.6540556",
"0.65351874",
"0.651246... | 0.0 | -1 |
Test case number: 86 /Coverage entropy=0.4089388914174921 | @Test(timeout = 4000)
public void test086() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("|OLg_Eyu;i");
Token token0 = xPathLexer0.nextToken();
assertEquals(17, token0.getTokenType());
assertEquals("|", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73286057",
"0.71949756",
"0.6936271",
"0.6893054",
"0.6856383",
"0.6830284",
"0.6828171",
"0.6822955",
"0.68133825",
"0.67718536",
"0.6764213",
"0.6763398",
"0.6744375",
"0.6725268",
"0.67230946",
"0.6710208",
"0.6698814",
"0.6691279",
"0.6675874",
"0.66603744",
"0.6614714... | 0.0 | -1 |
Test case number: 87 /Coverage entropy=0.7439920825769217 | @Test(timeout = 4000)
public void test087() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("zO=t1k%z[");
Token token0 = xPathLexer0.nextToken();
assertEquals("zO", token0.getTokenText());
assertEquals(15, token0.getTokenType());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73499733",
"0.72489375",
"0.69537103",
"0.68936735",
"0.68643296",
"0.6857667",
"0.6830889",
"0.68084264",
"0.6803187",
"0.68009704",
"0.6795007",
"0.6794763",
"0.67941046",
"0.6790802",
"0.678548",
"0.6770608",
"0.6768071",
"0.6733967",
"0.67224723",
"0.6703836",
"0.66654... | 0.0 | -1 |
Test case number: 88 /Coverage entropy=0.8078856237959416 | @Test(timeout = 4000)
public void test088() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("<y");
Token token0 = xPathLexer0.leftParen();
assertEquals("<", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.nextToken();
a... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72618103",
"0.71989757",
"0.69110465",
"0.6887962",
"0.6838934",
"0.6802594",
"0.6789448",
"0.6754934",
"0.6748488",
"0.6744599",
"0.6738658",
"0.6737164",
"0.6724416",
"0.6711928",
"0.6703163",
"0.6698071",
"0.6693828",
"0.66902936",
"0.66516554",
"0.66457814",
"0.6586585... | 0.0 | -1 |
Test case number: 89 /Coverage entropy=0.9173225404601594 | @Test(timeout = 4000)
public void test089() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
Token token0 = xPathLexer0.pipe();
assertEquals("c", token0.getTokenText());
assertEquals(17, token0.getTokenType());
Token token1 = xPathLexe... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7226621",
"0.72147137",
"0.6851283",
"0.68126935",
"0.6787767",
"0.675574",
"0.6754956",
"0.6745886",
"0.6728445",
"0.67279863",
"0.6713494",
"0.6679818",
"0.6674986",
"0.6629894",
"0.6625576",
"0.6622018",
"0.66202193",
"0.6604446",
"0.66011995",
"0.6558451",
"0.65276444"... | 0.0 | -1 |
Test case number: 90 /Coverage entropy=1.0636445519546103 | @Test(timeout = 4000)
public void test090() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("9Snv JFf");
Token token0 = xPathLexer0.number();
assertEquals("9", token0.getTokenText());
assertEquals(30, token0.getTokenType());
Token token1 = xPathLexer0.dollar();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7251929",
"0.7143391",
"0.70044446",
"0.6958372",
"0.69482183",
"0.69209445",
"0.6889479",
"0.6866016",
"0.6825123",
"0.6815544",
"0.67310023",
"0.6728811",
"0.67260426",
"0.67048955",
"0.6696236",
"0.6669954",
"0.6666634",
"0.6666592",
"0.6662487",
"0.6657915",
"0.6644398... | 0.0 | -1 |
Test case number: 91 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test091() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("Xr\"");
Token token0 = xPathLexer0.pipe();
assertEquals(17, token0.getTokenType());
assertEquals("X", token0.getTokenText());
Token token1 = xPathLexer0.nextToken();
ass... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7230439",
"0.7134953",
"0.6951956",
"0.6832208",
"0.6805962",
"0.6797739",
"0.6789551",
"0.6769342",
"0.6756814",
"0.6754593",
"0.6726885",
"0.6718603",
"0.6696328",
"0.6687522",
"0.6680279",
"0.66801494",
"0.6679696",
"0.6626522",
"0.6568625",
"0.6565998",
"0.65480703",
... | 0.0 | -1 |
Test case number: 92 /Coverage entropy=0.7439920825769217 | @Test(timeout = 4000)
public void test092() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("qYRCJu&(jl/h/IyKW");
Token token0 = xPathLexer0.nextToken();
assertEquals(15, token0.getTokenType());
assertEquals("qYRCJu", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.717995",
"0.71046066",
"0.6895606",
"0.6794088",
"0.67849284",
"0.67709625",
"0.6737463",
"0.6721775",
"0.66976774",
"0.66887206",
"0.6683125",
"0.66821814",
"0.6651177",
"0.66500926",
"0.66206086",
"0.6613902",
"0.6599524",
"0.6593358",
"0.65727717",
"0.65373987",
"0.6513... | 0.0 | -1 |
Test case number: 93 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test093() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
xPathLexer0.setXPath("r1p%9otIqOp|?D[");
Token token0 = xPathLexer0.notEquals();
assertEquals(22, token0.getTokenType());
assertEquals("r1", token0.g... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7283828",
"0.7200637",
"0.70092595",
"0.68599063",
"0.68598104",
"0.6849256",
"0.68355185",
"0.6814263",
"0.68009245",
"0.6783516",
"0.67714435",
"0.67656934",
"0.6761683",
"0.67471826",
"0.673096",
"0.6716999",
"0.67043835",
"0.6675377",
"0.66659147",
"0.6661792",
"0.6651... | 0.0 | -1 |
Test case number: 94 /Coverage entropy=0.7711904826943476 | @Test(timeout = 4000)
public void test094() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("niW");
Token token0 = xPathLexer0.nextToken();
assertEquals(15, token0.getTokenType());
assertEquals("niW", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73173106",
"0.72154886",
"0.69211",
"0.6916926",
"0.6878975",
"0.6855446",
"0.685029",
"0.68265986",
"0.6812683",
"0.68049306",
"0.6798895",
"0.6782413",
"0.675182",
"0.67417574",
"0.67407",
"0.6736584",
"0.6732265",
"0.6665332",
"0.6656209",
"0.66472846",
"0.66430724",
... | 0.0 | -1 |
Test case number: 95 /Coverage entropy=0.8466584464538924 | @Test(timeout = 4000)
public void test095() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
Token token0 = xPathLexer0.notEquals();
assertEquals(22, token0.getTokenType());
assertEquals("co", token0.getTokenText());
Token token1 = xPa... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.718179",
"0.7104228",
"0.7036764",
"0.69384694",
"0.68942827",
"0.68113554",
"0.6808149",
"0.67431784",
"0.6729268",
"0.66832227",
"0.66807586",
"0.66767144",
"0.6672526",
"0.666477",
"0.6654128",
"0.6643824",
"0.66237676",
"0.66014254",
"0.65686905",
"0.65674394",
"0.6554... | 0.0 | -1 |
Test case number: 96 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test096() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("ml'}{GbV%Y&X");
Token token0 = xPathLexer0.leftParen();
assertEquals(1, token0.getTokenType());
assertEquals("m", token0.getTokenText());
Token token1 = xPathLexer0.nextToken(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7371057",
"0.7267702",
"0.6956644",
"0.68785584",
"0.6852957",
"0.68465006",
"0.6825939",
"0.6812744",
"0.6811514",
"0.6806317",
"0.67935395",
"0.67920846",
"0.67478037",
"0.67312044",
"0.67256254",
"0.67139006",
"0.6709577",
"0.66472006",
"0.6624165",
"0.6615265",
"0.6611... | 0.0 | -1 |
Test case number: 97 /Coverage entropy=0.8441138774034159 | @Test(timeout = 4000)
public void test097() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("^,kM");
Token token0 = xPathLexer0.dollar();
assertEquals("^", token0.getTokenText());
assertEquals(26, token0.getTokenType());
Token token1 = xPathLexer0.not();
assertE... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73137116",
"0.71919274",
"0.68827015",
"0.6825744",
"0.6817835",
"0.68079555",
"0.6795531",
"0.67926896",
"0.67493314",
"0.67206264",
"0.6667322",
"0.6649753",
"0.6581282",
"0.65338075",
"0.65305835",
"0.65163827",
"0.6505976",
"0.6490178",
"0.6476293",
"0.647325",
"0.6451... | 0.0 | -1 |
Test case number: 98 /Coverage entropy=0.7439920825769217 | @Test(timeout = 4000)
public void test098() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("ji{:[5xw96");
Token token0 = xPathLexer0.nextToken();
assertEquals("ji", token0.getTokenText());
assertEquals(15, token0.getTokenType());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72788453",
"0.71456677",
"0.6900462",
"0.68468714",
"0.68401843",
"0.6813655",
"0.68019557",
"0.67843676",
"0.6772839",
"0.6761384",
"0.6753341",
"0.6747617",
"0.67239386",
"0.6705585",
"0.6673015",
"0.6650819",
"0.66442466",
"0.6635576",
"0.66201836",
"0.6616417",
"0.6606... | 0.0 | -1 |
Test case number: 99 /Coverage entropy=0.7439920825769217 | @Test(timeout = 4000)
public void test099() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("i_,r,6bt/,0{");
Token token0 = xPathLexer0.nextToken();
assertEquals(15, token0.getTokenType());
assertEquals("i_", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7313017",
"0.71975046",
"0.6976919",
"0.6906277",
"0.6891144",
"0.686651",
"0.68529093",
"0.68522817",
"0.68382245",
"0.6814702",
"0.67816156",
"0.67556715",
"0.67447525",
"0.6738447",
"0.6733167",
"0.67054",
"0.66925484",
"0.6678195",
"0.66592026",
"0.66461194",
"0.663700... | 0.0 | -1 |
Test case number: 100 /Coverage entropy=1.261647633087861 | @Test(timeout = 4000)
public void test100() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("hN!SM~8ux(wB");
Token token0 = xPathLexer0.nextToken();
assertEquals("hN", token0.getTokenText());
assertEquals(15, token0.getTokenType());
xPathLexer0.dollar();
xPathLe... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72162616",
"0.7061224",
"0.69075656",
"0.6901418",
"0.6863036",
"0.6852103",
"0.67897254",
"0.6779349",
"0.676154",
"0.6717444",
"0.6688686",
"0.6628627",
"0.6618266",
"0.66065747",
"0.6602267",
"0.65818477",
"0.6566106",
"0.6564956",
"0.65618885",
"0.6551373",
"0.65393627... | 0.0 | -1 |
Test case number: 101 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test101() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("qgS3&9T,:6UK}hF");
Token token0 = xPathLexer0.leftParen();
assertEquals("q", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.nextTok... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7154886",
"0.70678765",
"0.6840943",
"0.6824557",
"0.6700109",
"0.66905093",
"0.6686568",
"0.66681135",
"0.66651624",
"0.666195",
"0.6641433",
"0.6622961",
"0.66195863",
"0.6618833",
"0.65644854",
"0.656408",
"0.6517633",
"0.6506739",
"0.64872795",
"0.6469825",
"0.64685744... | 0.0 | -1 |
Test case number: 102 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test102() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("oofT'b.HnXtsd.");
Token token0 = xPathLexer0.notEquals();
assertEquals("oo", token0.getTokenText());
assertEquals(22, token0.getTokenType());
Token token1 = xPathLexer0.nextTo... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72094035",
"0.7160594",
"0.6912579",
"0.6835104",
"0.68313277",
"0.6828313",
"0.6769382",
"0.6743723",
"0.6741245",
"0.6695541",
"0.6681444",
"0.66812146",
"0.6652606",
"0.6637506",
"0.6608048",
"0.65955377",
"0.6591296",
"0.65897936",
"0.6552095",
"0.6537224",
"0.6513233"... | 0.0 | -1 |
Test case number: 103 /Coverage entropy=1.047974001718047 | @Test(timeout = 4000)
public void test103() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
Token token0 = xPathLexer0.pipe();
assertEquals(17, token0.getTokenType());
assertEquals("c", token0.getTokenText());
Token token1 = xPathLexe... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.71084505",
"0.70555",
"0.68585944",
"0.6811557",
"0.68097883",
"0.6752456",
"0.66887975",
"0.6676829",
"0.66708684",
"0.66676766",
"0.66631454",
"0.664872",
"0.66300726",
"0.6610233",
"0.65882194",
"0.6572224",
"0.654767",
"0.65470845",
"0.6537543",
"0.6537474",
"0.6530826... | 0.0 | -1 |
Test case number: 104 /Coverage entropy=0.8106536471487246 | @Test(timeout = 4000)
public void test104() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
Token token0 = xPathLexer0.nextToken();
assertEquals(15, token0.getTokenType());
assertEquals("com.werken.saxpath.XPathLexer", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, e... | [
"0.71868587",
"0.71732485",
"0.68998677",
"0.6840016",
"0.68044645",
"0.6803352",
"0.67972034",
"0.6754152",
"0.67363894",
"0.67295724",
"0.6712268",
"0.668835",
"0.6688007",
"0.6685685",
"0.6680762",
"0.66656905",
"0.66355234",
"0.65884817",
"0.6566961",
"0.6539972",
"0.6526... | 0.0 | -1 |
Test case number: 105 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test105() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(";b_z(sF5");
Token token0 = xPathLexer0.leftParen();
assertEquals(";", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.nextToken();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72135895",
"0.71357435",
"0.68779147",
"0.6832702",
"0.6817733",
"0.6802721",
"0.6714142",
"0.6714088",
"0.6709073",
"0.6655907",
"0.6651658",
"0.66266114",
"0.661736",
"0.6612209",
"0.6611218",
"0.65955293",
"0.6588019",
"0.65854913",
"0.6574899",
"0.65627843",
"0.6549377... | 0.0 | -1 |
Test case number: 106 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test106() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("");
xPathLexer0.setXPath("X#ahK|{1");
Token token0 = xPathLexer0.notEquals();
assertEquals("X#", token0.getTokenText());
assertEquals(22, token0.getTokenType());
Token t... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73223984",
"0.7206819",
"0.6948776",
"0.6895126",
"0.6866614",
"0.6866363",
"0.6859978",
"0.6822014",
"0.6779064",
"0.67512685",
"0.6748766",
"0.674574",
"0.67433435",
"0.6720382",
"0.67143553",
"0.6709693",
"0.6699442",
"0.6693788",
"0.6681876",
"0.66756606",
"0.6638926",... | 0.0 | -1 |
Test case number: 107 /Coverage entropy=0.3955852454859713 | @Test(timeout = 4000)
public void test107() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("`~#A,*/R,gz@ @2{k");
Token token0 = xPathLexer0.nextToken();
assertEquals("`~#A,*/R,gz@ @2{k", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72467893",
"0.7127836",
"0.68669826",
"0.6795697",
"0.6794067",
"0.6789692",
"0.67826766",
"0.6732108",
"0.6725723",
"0.6725517",
"0.6714502",
"0.6698178",
"0.66795164",
"0.6678752",
"0.66758007",
"0.66455364",
"0.66349447",
"0.66233736",
"0.65989065",
"0.65924877",
"0.656... | 0.0 | -1 |
Test case number: 108 /Coverage entropy=0.753965423304403 | @Test(timeout = 4000)
public void test108() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(":_]J_/L!uFQ7%)BrL");
Token token0 = xPathLexer0.minus();
assertEquals(":", token0.getTokenText());
assertEquals(6, token0.getTokenType());
Token token1 = xPathLexer0.nextToken... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72898966",
"0.71870536",
"0.68508637",
"0.6849854",
"0.68494666",
"0.6840461",
"0.68036413",
"0.6794445",
"0.6774851",
"0.6761754",
"0.6734055",
"0.6725321",
"0.67176515",
"0.6714643",
"0.67120755",
"0.67058325",
"0.67019755",
"0.66816604",
"0.667515",
"0.6663235",
"0.6610... | 0.0 | -1 |
Test case number: 109 /Coverage entropy=0.3955852454859713 | @Test(timeout = 4000)
public void test109() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("^r");
Token token0 = xPathLexer0.nextToken();
assertEquals("^r", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72452945",
"0.71222365",
"0.6896594",
"0.68067676",
"0.67967784",
"0.6784371",
"0.6768409",
"0.67551595",
"0.67256194",
"0.67256016",
"0.6717712",
"0.6708645",
"0.67063516",
"0.66773725",
"0.66717213",
"0.6671656",
"0.6655026",
"0.6623776",
"0.662047",
"0.6581928",
"0.6580... | 0.0 | -1 |
Test case number: 110 /Coverage entropy=0.4089388914174921 | @Test(timeout = 4000)
public void test110() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("]]M7v~P|3Iosxo9ON=");
Token token0 = xPathLexer0.nextToken();
assertEquals("]", token0.getTokenText());
assertEquals(4, token0.getTokenType());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7245121",
"0.71379375",
"0.69011366",
"0.6896179",
"0.6836935",
"0.6819131",
"0.6800187",
"0.67980564",
"0.67645526",
"0.67352027",
"0.6722809",
"0.6722064",
"0.6716692",
"0.6700988",
"0.6665078",
"0.6637705",
"0.6633538",
"0.66333663",
"0.6620941",
"0.6589517",
"0.6555373... | 0.0 | -1 |
Test case number: 111 /Coverage entropy=0.7439920825769217 | @Test(timeout = 4000)
public void test111() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("RHKY[MJwf75K\"K");
Token token0 = xPathLexer0.nextToken();
assertEquals("RHKY", token0.getTokenText());
assertEquals(15, token0.getTokenType());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.717607",
"0.7138263",
"0.67856306",
"0.67843646",
"0.6770884",
"0.67342573",
"0.67058426",
"0.6668479",
"0.66533047",
"0.66387963",
"0.66326857",
"0.66315866",
"0.66298515",
"0.6611957",
"0.6602481",
"0.659662",
"0.6591103",
"0.65896577",
"0.65700465",
"0.6550442",
"0.6527... | 0.0 | -1 |
Test case number: 112 /Coverage entropy=1.1556649451320575 | @Test(timeout = 4000)
public void test112() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("ji{:[5xw96");
Token token0 = xPathLexer0.rightParen();
assertEquals(2, token0.getTokenType());
assertEquals("j", token0.getTokenText());
Token token1 = xPathLexer0.dollar();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, e... | [
"0.71893436",
"0.7166616",
"0.68805873",
"0.6778284",
"0.6775934",
"0.6768604",
"0.67290235",
"0.66994745",
"0.6685216",
"0.6682699",
"0.66823494",
"0.6670568",
"0.66659254",
"0.6639142",
"0.6631786",
"0.6609654",
"0.6589424",
"0.6571887",
"0.6557302",
"0.6535617",
"0.653317"... | 0.0 | -1 |
Test case number: 113 /Coverage entropy=0.7439920825769217 | @Test(timeout = 4000)
public void test113() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("Z&9#+FDLX&o2GJ-");
Token token0 = xPathLexer0.nextToken();
assertEquals(15, token0.getTokenType());
assertEquals("Z", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7349856",
"0.7252453",
"0.6943936",
"0.6917593",
"0.6868921",
"0.68642914",
"0.68574286",
"0.6840015",
"0.6836357",
"0.6801479",
"0.6786314",
"0.6782429",
"0.67712575",
"0.6757196",
"0.67338973",
"0.6714396",
"0.66983134",
"0.668187",
"0.6662769",
"0.6658924",
"0.66487616"... | 0.0 | -1 |
Test case number: 114 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test114() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(":Y[~gy");
Token token0 = xPathLexer0.leftParen();
assertEquals(1, token0.getTokenType());
assertEquals(":", token0.getTokenText());
Token token1 = xPathLexer0.nextToken();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7207223",
"0.71006167",
"0.68129855",
"0.67535615",
"0.6720704",
"0.6719854",
"0.671479",
"0.6701467",
"0.66988647",
"0.6694308",
"0.6674374",
"0.6633237",
"0.6628608",
"0.6617597",
"0.6595078",
"0.65669394",
"0.6562146",
"0.6552588",
"0.6541376",
"0.6529918",
"0.652982",
... | 0.0 | -1 |
Test case number: 115 /Coverage entropy=0.7439920825769217 | @Test(timeout = 4000)
public void test115() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("Xr\"");
Token token0 = xPathLexer0.nextToken();
assertEquals(15, token0.getTokenType());
assertEquals("Xr", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7215113",
"0.7119027",
"0.68373376",
"0.67922825",
"0.6771573",
"0.67650217",
"0.6711328",
"0.66902953",
"0.66901684",
"0.6674463",
"0.6651421",
"0.66438556",
"0.66423106",
"0.6631517",
"0.66232324",
"0.66079736",
"0.6598847",
"0.6593214",
"0.65606403",
"0.6539131",
"0.653... | 0.0 | -1 |
Test case number: 116 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test116() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("LW>$p??");
Token token0 = xPathLexer0.leftParen();
assertEquals("L", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.nextToken();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.71687067",
"0.7108899",
"0.68155205",
"0.67272675",
"0.6717961",
"0.67133397",
"0.67082524",
"0.66956276",
"0.6691137",
"0.6685565",
"0.66827947",
"0.6638973",
"0.66368115",
"0.66053885",
"0.6581842",
"0.6578803",
"0.6576038",
"0.656421",
"0.65494424",
"0.6538422",
"0.6535... | 0.0 | -1 |
Test case number: 117 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test117() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("_V)2V93#c=~\")I");
Token token0 = xPathLexer0.leftParen();
assertEquals(1, token0.getTokenType());
assertEquals("_", token0.getTokenText());
Token token1 = xPathLexer0.nextTok... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73576534",
"0.72729695",
"0.69474375",
"0.6908209",
"0.6904288",
"0.6868923",
"0.6866329",
"0.6864431",
"0.6830528",
"0.6821587",
"0.68205833",
"0.68192595",
"0.68039453",
"0.6802546",
"0.67482924",
"0.67481035",
"0.6722124",
"0.6705334",
"0.6666124",
"0.6663555",
"0.66216... | 0.0 | -1 |
Test case number: 118 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test118() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(">Uuu/X==mpx'Q N+");
Token token0 = xPathLexer0.leftParen();
assertEquals(1, token0.getTokenType());
assertEquals(">", token0.getTokenText());
Token token1 = xPathLexer0.nextTo... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7320239",
"0.7191994",
"0.6956695",
"0.6898561",
"0.6876125",
"0.68632424",
"0.6860935",
"0.6833931",
"0.68141806",
"0.6774822",
"0.673129",
"0.67186195",
"0.6708628",
"0.67000866",
"0.6692151",
"0.6673189",
"0.6670496",
"0.66662467",
"0.66604966",
"0.6643679",
"0.6628251"... | 0.0 | -1 |
Test case number: 119 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test119() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("gQFm^#}*F");
Token token0 = xPathLexer0.leftParen();
assertEquals("g", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.nextToken();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7305725",
"0.717859",
"0.6920129",
"0.6865523",
"0.68569255",
"0.6844727",
"0.6835042",
"0.6825036",
"0.68145955",
"0.67838675",
"0.6777018",
"0.67703354",
"0.67696595",
"0.6732144",
"0.6717404",
"0.6714887",
"0.6693726",
"0.66815466",
"0.66589147",
"0.6593227",
"0.6590149... | 0.0 | -1 |
Test case number: 120 /Coverage entropy=0.9454405568232104 | @Test(timeout = 4000)
public void test120() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("#OPh7");
Token token0 = xPathLexer0.whitespace();
assertEquals((-2), token0.getTokenType());
assertEquals("", token0.getTokenText());
Token token1 = xPathLexer0.not();
a... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7268451",
"0.7160471",
"0.69225556",
"0.69216985",
"0.68588215",
"0.6853347",
"0.6828705",
"0.6794599",
"0.6770869",
"0.67499834",
"0.67246944",
"0.6695564",
"0.6680363",
"0.66798085",
"0.6651056",
"0.66403717",
"0.6606287",
"0.6589618",
"0.6586197",
"0.6582978",
"0.657681... | 0.0 | -1 |
Test case number: 121 /Coverage entropy=0.8078856237959416 | @Test(timeout = 4000)
public void test121() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("#OPh7");
Token token0 = xPathLexer0.not();
assertEquals("#", token0.getTokenText());
assertEquals(23, token0.getTokenType());
Token token1 = xPathLexer0.nextToken();
ass... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73867553",
"0.7273722",
"0.696463",
"0.688987",
"0.6865821",
"0.68601435",
"0.6850786",
"0.6843352",
"0.6838779",
"0.683805",
"0.68361264",
"0.68227524",
"0.6802509",
"0.67903227",
"0.6774882",
"0.6761211",
"0.6743587",
"0.67381704",
"0.6733822",
"0.6682956",
"0.66666126",... | 0.0 | -1 |
Test case number: 122 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test122() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("yN}H8h");
Token token0 = xPathLexer0.leftParen();
assertEquals("y", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.nextToken();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7358342",
"0.72838044",
"0.68935394",
"0.688132",
"0.684504",
"0.68423146",
"0.68189627",
"0.6808482",
"0.6791094",
"0.6781664",
"0.67792237",
"0.6754256",
"0.6734939",
"0.6734192",
"0.6722545",
"0.66962963",
"0.6691119",
"0.66770834",
"0.6672096",
"0.66638106",
"0.6647564... | 0.0 | -1 |
Test case number: 123 /Coverage entropy=0.999306427997888 | @Test(timeout = 4000)
public void test123() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("9M4i+yR.T");
Token token0 = xPathLexer0.number();
assertEquals(30, token0.getTokenType());
assertEquals("9", token0.getTokenText());
Token token1 = xPathLexer0.nextToken();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7061697",
"0.7040031",
"0.6689274",
"0.66230744",
"0.662046",
"0.65737975",
"0.65559214",
"0.6527175",
"0.6502471",
"0.6492536",
"0.6478317",
"0.6470601",
"0.6469421",
"0.6466835",
"0.64596415",
"0.64461815",
"0.6441345",
"0.6437758",
"0.6435508",
"0.64314723",
"0.643127",... | 0.0 | -1 |
Test case number: 124 /Coverage entropy=0.8177174986975012 | @Test(timeout = 4000)
public void test124() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("Z uKBSX,^");
Token token0 = xPathLexer0.rightParen();
assertEquals("Z", token0.getTokenText());
assertEquals(2, token0.getTokenType());
Token token1 = xPathLexer0.notEquals();... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.74723095",
"0.73547906",
"0.69646513",
"0.69545484",
"0.69524777",
"0.6926355",
"0.69226766",
"0.69178057",
"0.6860323",
"0.6851083",
"0.6830391",
"0.68263924",
"0.68106425",
"0.6796506",
"0.6795672",
"0.67909837",
"0.67892325",
"0.67419004",
"0.67024875",
"0.66720283",
"0... | 0.0 | -1 |
Test case number: 125 /Coverage entropy=0.9152072468809036 | @Test(timeout = 4000)
public void test125() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("qYRCJu&(jl/h/IyKW");
Token token0 = xPathLexer0.dollar();
assertEquals(26, token0.getTokenType());
assertEquals("q", token0.getTokenText());
Token token1 = xPathLexer0.at();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7407189",
"0.7177579",
"0.69147235",
"0.6903688",
"0.6817574",
"0.67965776",
"0.67897815",
"0.6784765",
"0.6768092",
"0.6749867",
"0.6732773",
"0.67306924",
"0.6716817",
"0.67137396",
"0.6710157",
"0.6708734",
"0.669827",
"0.66519153",
"0.6592943",
"0.658488",
"0.6536159",... | 0.0 | -1 |
Test case number: 126 /Coverage entropy=0.7439920825769217 | @Test(timeout = 4000)
public void test126() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("II%oBQL*c");
Token token0 = xPathLexer0.nextToken();
assertEquals(15, token0.getTokenType());
assertEquals("II", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.74136525",
"0.7210422",
"0.6911406",
"0.68085027",
"0.679074",
"0.67611635",
"0.67509425",
"0.6748201",
"0.67360103",
"0.671917",
"0.6718396",
"0.67000544",
"0.66983175",
"0.6678965",
"0.666335",
"0.6659796",
"0.66532457",
"0.665005",
"0.6642982",
"0.66385466",
"0.65759945... | 0.0 | -1 |
Test case number: 127 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test127() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("#Hl\"URCdTMz/SP7f,");
Token token0 = xPathLexer0.leftParen();
assertEquals("#", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.next... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.74437225",
"0.7277612",
"0.6951442",
"0.6875806",
"0.6875389",
"0.6825267",
"0.68111336",
"0.6797373",
"0.67916733",
"0.6762192",
"0.673719",
"0.67289037",
"0.67287886",
"0.67276305",
"0.670545",
"0.6694177",
"0.66330624",
"0.66299945",
"0.66230243",
"0.6610641",
"0.656669... | 0.0 | -1 |
Test case number: 128 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test128() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("YGfsz*55N'<bZ");
Token token0 = xPathLexer0.leftParen();
assertEquals("Y", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.nextToken... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.76232684",
"0.73864067",
"0.69593114",
"0.69577456",
"0.689614",
"0.68662894",
"0.6813617",
"0.67908984",
"0.6789709",
"0.6728786",
"0.66990036",
"0.66611934",
"0.66591775",
"0.6596763",
"0.6592132",
"0.6580751",
"0.6575082",
"0.6565956",
"0.6545835",
"0.65399885",
"0.6441... | 0.0 | -1 |
Test case number: 129 /Coverage entropy=0.7439920825769217 | @Test(timeout = 4000)
public void test129() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("F<=oPf^MU.<n%");
Token token0 = xPathLexer0.nextToken();
assertEquals(15, token0.getTokenType());
assertEquals("F", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7313537",
"0.71738803",
"0.69015664",
"0.6894167",
"0.6836434",
"0.6813137",
"0.6809955",
"0.6809412",
"0.68013",
"0.67934334",
"0.67598313",
"0.6739088",
"0.6721568",
"0.6713436",
"0.670969",
"0.66865975",
"0.66679126",
"0.6661982",
"0.6653681",
"0.6644469",
"0.6630429",
... | 0.0 | -1 |
Test case number: 130 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test130() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("pDt&YchL");
Token token0 = xPathLexer0.leftParen();
assertEquals(1, token0.getTokenType());
assertEquals("p", token0.getTokenText());
Token token1 = xPathLexer0.nextToken();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7379266",
"0.7215908",
"0.7026701",
"0.6954972",
"0.69305295",
"0.69124013",
"0.6872711",
"0.68726945",
"0.68561524",
"0.6833768",
"0.67976147",
"0.67523086",
"0.6742743",
"0.67162246",
"0.67076266",
"0.6707451",
"0.67006457",
"0.6695232",
"0.6694388",
"0.6687157",
"0.6653... | 0.0 | -1 |
Test case number: 131 /Coverage entropy=0.8713528101201677 | @Test(timeout = 4000)
public void test131() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.setXPath(" C8?501.bl");
Token token0 = xPathLexer0.nextToken();
assertEquals("C8", token0.getTokenText());
assertEquals(15, token0.getTokenType());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72999483",
"0.71893835",
"0.6894947",
"0.6852903",
"0.68195325",
"0.6777472",
"0.6773521",
"0.67575985",
"0.67541444",
"0.6742438",
"0.674143",
"0.6730739",
"0.6722706",
"0.66619676",
"0.66504514",
"0.66491467",
"0.66489685",
"0.66482615",
"0.6638804",
"0.66334283",
"0.662... | 0.0 | -1 |
Test case number: 132 /Coverage entropy=0.7810925852737755 | @Test(timeout = 4000)
public void test132() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("3APV;W&5C\"!eSgJk*X");
Token token0 = xPathLexer0.leftParen();
assertEquals(1, token0.getTokenType());
assertEquals("3", token0.getTokenText());
Token token1 = xPathLexer0.nex... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7274415",
"0.72269094",
"0.6944128",
"0.68993866",
"0.6877799",
"0.6797499",
"0.6757013",
"0.6728081",
"0.6716354",
"0.67142123",
"0.67078936",
"0.67062134",
"0.66929394",
"0.66646856",
"0.66574943",
"0.6647622",
"0.65927005",
"0.6591307",
"0.65736955",
"0.65713185",
"0.65... | 0.0 | -1 |
Test case number: 133 /Coverage entropy=0.4511636006386335 | @Test(timeout = 4000)
public void test133() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("P@,DtvglU*(KV:16h");
Token token0 = xPathLexer0.leftParen();
assertEquals(1, token0.getTokenType());
assertEquals("P", token0.getTokenText());
Token token1 = xPathLexer0.next... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7282559",
"0.7164217",
"0.6894502",
"0.6865991",
"0.6861252",
"0.68234605",
"0.6787122",
"0.6763257",
"0.67435896",
"0.6739523",
"0.6731247",
"0.673046",
"0.669795",
"0.6694319",
"0.66934097",
"0.6667458",
"0.66611886",
"0.66575104",
"0.66485846",
"0.66185683",
"0.657724",... | 0.0 | -1 |
Test case number: 134 /Coverage entropy=0.3955852454859713 | @Test(timeout = 4000)
public void test134() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("ji{:[5xw96");
xPathLexer0.setXPath("?");
Token token0 = xPathLexer0.nextToken();
assertEquals("?", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73750436",
"0.72877014",
"0.6958182",
"0.6939196",
"0.6924109",
"0.6903375",
"0.6867806",
"0.6842604",
"0.68386763",
"0.68322676",
"0.6793982",
"0.6792264",
"0.67877436",
"0.6785873",
"0.67856824",
"0.6769818",
"0.67366254",
"0.6729881",
"0.6720285",
"0.671072",
"0.6695137... | 0.0 | -1 |
Test case number: 135 /Coverage entropy=1.1137582870479217 | @Test(timeout = 4000)
public void test135() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("d>%NV0");
Token token0 = xPathLexer0.leftParen();
assertEquals("d", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.nextToken();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72681814",
"0.71582335",
"0.6850916",
"0.68337655",
"0.6800863",
"0.6767653",
"0.6765352",
"0.6763717",
"0.6758197",
"0.6733312",
"0.67328745",
"0.6731549",
"0.66944134",
"0.66855097",
"0.66765386",
"0.6667094",
"0.6664954",
"0.66527027",
"0.66016376",
"0.6599239",
"0.6590... | 0.0 | -1 |
Test case number: 136 /Coverage entropy=0.6903002506774654 | @Test(timeout = 4000)
public void test136() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("ImO=t1kJz[4");
Token token0 = xPathLexer0.whitespace();
assertEquals("", token0.getTokenText());
assertEquals((-2), token0.getTokenType());
Token token1 = xPathLexer0.dollar()... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.71741307",
"0.71510845",
"0.6852871",
"0.6783715",
"0.67799175",
"0.6775924",
"0.675799",
"0.67401123",
"0.66933894",
"0.6691599",
"0.6686833",
"0.6673604",
"0.66591156",
"0.66368663",
"0.66248834",
"0.6624406",
"0.66027474",
"0.65916616",
"0.6581564",
"0.65704334",
"0.656... | 0.0 | -1 |
Test case number: 137 /Coverage entropy=0.7556786320029206 | @Test(timeout = 4000)
public void test137() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(":E<;");
Token token0 = xPathLexer0.rightParen();
assertEquals(":", token0.getTokenText());
assertEquals(2, token0.getTokenType());
Token token1 = xPathLexer0.identifier();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73384243",
"0.72342277",
"0.6921042",
"0.69153124",
"0.6847273",
"0.68315315",
"0.6776596",
"0.67708075",
"0.67543167",
"0.6748747",
"0.67446524",
"0.67222315",
"0.6688685",
"0.6659314",
"0.6653688",
"0.6644761",
"0.6625495",
"0.66078305",
"0.6592452",
"0.6578457",
"0.6554... | 0.0 | -1 |
Test case number: 138 /Coverage entropy=0.5603844402896829 | @Test(timeout = 4000)
public void test138() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(":E<;");
Token token0 = xPathLexer0.plus();
assertEquals(5, token0.getTokenType());
assertEquals(":", token0.getTokenText());
Token token1 = xPathLexer0.pipe();
assertEq... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7324349",
"0.724111",
"0.6909434",
"0.6883437",
"0.68705183",
"0.68696135",
"0.6846528",
"0.68141216",
"0.6813038",
"0.67665184",
"0.67476875",
"0.674148",
"0.6738873",
"0.6734463",
"0.6734224",
"0.67339134",
"0.6730776",
"0.6711871",
"0.6694753",
"0.66839314",
"0.6683656"... | 0.0 | -1 |
Test case number: 139 /Coverage entropy=1.0808652357149393 | @Test(timeout = 4000)
public void test139() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(":E<;");
Token token0 = xPathLexer0.nextToken();
assertEquals(18, token0.getTokenType());
assertEquals(":", token0.getTokenText());
Token token1 = xPathLexer0.nextToken();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7259497",
"0.7178113",
"0.6940888",
"0.6925471",
"0.6851073",
"0.6847287",
"0.684168",
"0.6839577",
"0.68378425",
"0.6835731",
"0.68225235",
"0.6819431",
"0.67866343",
"0.67577595",
"0.6749954",
"0.6720561",
"0.67181545",
"0.6700384",
"0.669689",
"0.66807526",
"0.66755",
... | 0.0 | -1 |
Test case number: 140 /Coverage entropy=0.7486157063094812 | @Test(timeout = 4000)
public void test140() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("Z&9#+FDLX&o2GJ-");
Token token0 = xPathLexer0.dollar();
assertEquals("Z", token0.getTokenText());
assertEquals(26, token0.getTokenType());
Token token1 = xPathLexer0.not();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7363409",
"0.7265668",
"0.7026934",
"0.70062447",
"0.6974826",
"0.6951832",
"0.6935729",
"0.6866081",
"0.6860911",
"0.68512154",
"0.68427277",
"0.6821694",
"0.6818235",
"0.678525",
"0.6766841",
"0.6713527",
"0.6711622",
"0.6703566",
"0.669675",
"0.6693558",
"0.6681207",
... | 0.0 | -1 |
Test case number: 141 /Coverage entropy=0.7123333326585803 | @Test(timeout = 4000)
public void test141() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("z8I-qq3BBV%.C. *");
Token token0 = xPathLexer0.leftParen();
assertEquals(1, token0.getTokenType());
assertEquals("z", token0.getTokenText());
Token token1 = xPathLexer0.nextTo... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7224315",
"0.71312124",
"0.6815952",
"0.68143255",
"0.6805767",
"0.67849416",
"0.67761296",
"0.6722333",
"0.67119",
"0.6701651",
"0.66770995",
"0.667588",
"0.66731805",
"0.6664168",
"0.662898",
"0.66247606",
"0.659681",
"0.6595581",
"0.65949017",
"0.6586225",
"0.65308434",... | 0.0 | -1 |
Test case number: 142 /Coverage entropy=0.7486157063094812 | @Test(timeout = 4000)
public void test142() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("a/7J");
Token token0 = xPathLexer0.dollar();
assertEquals("a", token0.getTokenText());
assertEquals(26, token0.getTokenType());
Token token1 = xPathLexer0.not();
assertE... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.72750986",
"0.71814716",
"0.68015534",
"0.67964315",
"0.6778233",
"0.67779565",
"0.6756759",
"0.6756326",
"0.67442924",
"0.67104906",
"0.6705943",
"0.6697913",
"0.66885376",
"0.66843593",
"0.66673964",
"0.66428596",
"0.6631887",
"0.6630983",
"0.6626308",
"0.65873855",
"0.6... | 0.0 | -1 |
Test case number: 143 /Coverage entropy=1.2887205962209296 | @Test(timeout = 4000)
public void test143() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(">6_XdrPl");
Token token0 = xPathLexer0.not();
assertEquals(">", token0.getTokenText());
Token token1 = xPathLexer0.nextToken();
assertEquals("6", token1.getTokenText());
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7245262",
"0.71687454",
"0.6854032",
"0.6838249",
"0.6812432",
"0.6796219",
"0.6780422",
"0.6767792",
"0.675886",
"0.67427933",
"0.67312706",
"0.67178375",
"0.67130077",
"0.6699248",
"0.66853297",
"0.6679838",
"0.66790384",
"0.6658853",
"0.663812",
"0.6615938",
"0.6590686"... | 0.0 | -1 |
Test case number: 144 /Coverage entropy=0.6755920761612467 | @Test(timeout = 4000)
public void test144() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("5cQTy)'}7dbx*p1q4");
Token token0 = xPathLexer0.nextToken();
assertEquals(30, token0.getTokenType());
assertEquals("5", token0.getTokenText());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73754734",
"0.73446894",
"0.692218",
"0.6893728",
"0.6862948",
"0.6846098",
"0.6831501",
"0.68138367",
"0.6795996",
"0.67894167",
"0.6771673",
"0.6765396",
"0.6759131",
"0.6757875",
"0.6741672",
"0.6688123",
"0.6683983",
"0.6679795",
"0.6664046",
"0.6638435",
"0.6604146",
... | 0.0 | -1 |
Test case number: 145 /Coverage entropy=0.7123333326585803 | @Test(timeout = 4000)
public void test145() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(">3C%Yk");
Token token0 = xPathLexer0.not();
assertEquals(">", token0.getTokenText());
assertEquals(23, token0.getTokenType());
Token token1 = xPathLexer0.nextToken();
as... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.7297362",
"0.7255634",
"0.69380337",
"0.68724144",
"0.6737186",
"0.66993743",
"0.6692575",
"0.6663199",
"0.66550446",
"0.6651226",
"0.66422075",
"0.6632702",
"0.66298586",
"0.6627494",
"0.6625799",
"0.6591039",
"0.6587229",
"0.6586359",
"0.65852857",
"0.6574988",
"0.654597... | 0.0 | -1 |
Test case number: 146 /Coverage entropy=0.7123333326585803 | @Test(timeout = 4000)
public void test146() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("(2><");
Token token0 = xPathLexer0.leftParen();
assertEquals("(", token0.getTokenText());
assertEquals(1, token0.getTokenType());
Token token1 = xPathLexer0.nextToken();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n as... | [
"0.73137224",
"0.72010595",
"0.68496454",
"0.6823165",
"0.67899793",
"0.67495704",
"0.674108",
"0.672731",
"0.67149144",
"0.66823226",
"0.6677289",
"0.66733545",
"0.66728103",
"0.66400534",
"0.66138005",
"0.6611434",
"0.66113627",
"0.65913385",
"0.65772414",
"0.6549945",
"0.6... | 0.0 | -1 |
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