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 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 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 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\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 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 public void testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", 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 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 testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", 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 }","@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\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 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 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 public void testRulesetHighlife() {\n System.out.println(\"Highlife: B36/S23\");\n byte[][] highlife = { \n {0,0,0,0},\n {0,0,1,0},\n {0,1,1,0},\n {0,0,0,0},\n }; \n \n byte[][] expResult = { \n {0,0,0,0},\n {0,1,1,0},\n {0,1,1,0},\n {0,0,0,0},\n };\n \n ng.decodeRuleset(\"36\", \"23\");\n byte[][] result = ng.calcNextGen(highlife);\n assertArrayEquals(expResult, result);\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 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 @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 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 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 testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", null, 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\n public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","public double entropyPotential() {\n \n return (-1.0);\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 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 testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", 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 }","public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\n }","@Test\n public void testCalculateProbability() throws IOException, ParseException, MathException {\n System.out.println(\"calculateProbability\");\n OrganizationsRegister ro = info(\"e\", \"f\");\n String id = \"12\";\n String expResult = \"25,25 %\";\n String result = ro.calculateProbability();\n assertEquals(expResult, result);\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(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 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(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test(timeout = 4000)\n public void test030() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives(2458);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 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(\"slow\")\n public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", NumberContext.of(7, 4));\n }","public static void main(String[] args) {\n\n\n\n int timeSteps = 2;\n int variables = 100;\n RandomGenerator rg = new RandomGenerator();\n rg.setSeed(System.currentTimeMillis());\n\n// Create many columns in a multidimensional array (2 rows by 100 columns),\n// where the next time step (row 2) copies the value of the column on the left\n// from the previous time step (row 1):\n int[][] twoDTimeSeries = new int[timeSteps][];\n twoDTimeSeries[0] = rg.generateRandomInts(variables, 2); //表示产生服从0-2均匀分布的100个随机数\n twoDTimeSeries[1] = new int[variables];\n twoDTimeSeries[1][0] = twoDTimeSeries[0][variables - 1];\n System.arraycopy(twoDTimeSeries[0], 0, twoDTimeSeries[1], 1, variables - 1);\n\n// Create a TE calculator and run it:\n TransferEntropyCalculatorDiscrete teCalc=\n new TransferEntropyCalculatorDiscrete(2, 1);\n teCalc.initialise();\n// Add observations of transfer across one cell to the right (j=1)\n// per time step:\n teCalc.addObservations(twoDTimeSeries, 1);\n\n double result2D = teCalc.computeAverageLocalOfObservations();\n System.out.printf(\"The result should be close to 1 bit here, \" +\n \"since we are executing copy operations of what is effectively \" +\n \"a random bit to each cell here: %.3f bits\\n\", result2D);\n\n }","@Test(timeout = 4000)\n public void test70() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n assertFalse(naiveBayesMultinomialText0.getNormalizeDocLength());\n \n StringKernel stringKernel0 = new StringKernel();\n Capabilities capabilities0 = stringKernel0.getCapabilities();\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n Instances instances0 = testInstances0.generate();\n naiveBayesMultinomialText0.setNormalizeDocLength(true);\n naiveBayesMultinomialText0.buildClassifier(instances0);\n DenseInstance denseInstance0 = new DenseInstance(0);\n naiveBayesMultinomialText0.distributionForInstance(denseInstance0);\n assertTrue(naiveBayesMultinomialText0.getNormalizeDocLength());\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 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 }"],"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 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 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\\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\\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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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\\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 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 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 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 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 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 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 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 \"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 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 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 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 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 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 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 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 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 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 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 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 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 \"@Override\\n protected long getTestSolution() {\\n return 100024;\\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(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 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 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\\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 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 public void testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", 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 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 testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", 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 \"@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\\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 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 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 public void testRulesetHighlife() {\\n System.out.println(\\\"Highlife: B36/S23\\\");\\n byte[][] highlife = { \\n {0,0,0,0},\\n {0,0,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n }; \\n \\n byte[][] expResult = { \\n {0,0,0,0},\\n {0,1,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n };\\n \\n ng.decodeRuleset(\\\"36\\\", \\\"23\\\");\\n byte[][] result = ng.calcNextGen(highlife);\\n assertArrayEquals(expResult, result);\\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 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 @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 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 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 testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", null, 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\\n public void test23() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\\n Object[] objectArray0 = new Object[25];\\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"public double entropyPotential() {\\n \\n return (-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 }\",\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 testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", 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 \"public void test_0020() {\\n int nFactors = 2;\\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\\n\\n assertEquals(instance.nObs(), 18., 1e-15);\\n assertEquals(instance.nVariables(), 6., 1e-15);\\n assertEquals(instance.nFactors(), 2., 1e-15);\\n\\n FAEstimator estimators = instance.getEstimators(400);\\n\\n Vector uniqueness = estimators.psi();\\n assertArrayEquals(\\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\\n uniqueness.toArray(),\\n 2e-2);\\n\\n int dof = estimators.dof();\\n assertEquals(dof, 4);\\n\\n double fitted = estimators.logLikelihood();\\n assertEquals(fitted, 1.803, 1e-3);\\n\\n Matrix loadings = estimators.loadings();\\n assertTrue(AreMatrices.equal(\\n new DenseMatrix(new double[][]{\\n {0.971, 0.228},\\n {0.917, 0.213},\\n {0.429, 0.418},\\n {0.363, 0.355},\\n {0.254, 0.965},\\n {0.205, 0.928}\\n }),\\n loadings,\\n 1e-3));\\n\\n double testStats = estimators.statistics();\\n assertEquals(testStats, 23.14, 1e-2);\\n\\n double pValue = estimators.pValue();\\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\\n\\n// System.out.println(uniqueness.toString());\\n// System.out.println(fitted);\\n// System.out.println(loadings.toString());\\n }\",\n \"@Test\\n public void testCalculateProbability() throws IOException, ParseException, MathException {\\n System.out.println(\\\"calculateProbability\\\");\\n OrganizationsRegister ro = info(\\\"e\\\", \\\"f\\\");\\n String id = \\\"12\\\";\\n String expResult = \\\"25,25 %\\\";\\n String result = ro.calculateProbability();\\n assertEquals(expResult, result);\\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(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 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(\\\"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 test030() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives(2458);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 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(\\\"slow\\\")\\n public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", NumberContext.of(7, 4));\\n }\",\n \"public static void main(String[] args) {\\n\\n\\n\\n int timeSteps = 2;\\n int variables = 100;\\n RandomGenerator rg = new RandomGenerator();\\n rg.setSeed(System.currentTimeMillis());\\n\\n// Create many columns in a multidimensional array (2 rows by 100 columns),\\n// where the next time step (row 2) copies the value of the column on the left\\n// from the previous time step (row 1):\\n int[][] twoDTimeSeries = new int[timeSteps][];\\n twoDTimeSeries[0] = rg.generateRandomInts(variables, 2); //表示产生服从0-2均匀分布的100个随机数\\n twoDTimeSeries[1] = new int[variables];\\n twoDTimeSeries[1][0] = twoDTimeSeries[0][variables - 1];\\n System.arraycopy(twoDTimeSeries[0], 0, twoDTimeSeries[1], 1, variables - 1);\\n\\n// Create a TE calculator and run it:\\n TransferEntropyCalculatorDiscrete teCalc=\\n new TransferEntropyCalculatorDiscrete(2, 1);\\n teCalc.initialise();\\n// Add observations of transfer across one cell to the right (j=1)\\n// per time step:\\n teCalc.addObservations(twoDTimeSeries, 1);\\n\\n double result2D = teCalc.computeAverageLocalOfObservations();\\n System.out.printf(\\\"The result should be close to 1 bit here, \\\" +\\n \\\"since we are executing copy operations of what is effectively \\\" +\\n \\\"a random bit to each cell here: %.3f bits\\\\n\\\", result2D);\\n\\n }\",\n \"@Test(timeout = 4000)\\n public void test70() throws Throwable {\\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\\n assertFalse(naiveBayesMultinomialText0.getNormalizeDocLength());\\n \\n StringKernel stringKernel0 = new StringKernel();\\n Capabilities capabilities0 = stringKernel0.getCapabilities();\\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n Instances instances0 = testInstances0.generate();\\n naiveBayesMultinomialText0.setNormalizeDocLength(true);\\n naiveBayesMultinomialText0.buildClassifier(instances0);\\n DenseInstance denseInstance0 = new DenseInstance(0);\\n naiveBayesMultinomialText0.distributionForInstance(denseInstance0);\\n assertTrue(naiveBayesMultinomialText0.getNormalizeDocLength());\\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 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]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.75003606","0.7351776","0.70869946","0.7059385","0.7051654","0.7022435","0.7005667","0.6984458","0.697418","0.69467145","0.69450724","0.694344","0.6933639","0.6921382","0.69128203","0.686584","0.68342686","0.6834009","0.68138987","0.6773396","0.6756915","0.67485654","0.6744906","0.67278856","0.6717891","0.67011654","0.66970724","0.665337","0.66032946","0.6579867","0.6569599","0.65424347","0.65321743","0.65292436","0.65222776","0.6505635","0.65041316","0.65037984","0.6503378","0.650239","0.6485259","0.6471862","0.64549613","0.64469093","0.64147496","0.63784486","0.63709307","0.635789","0.6354693","0.63404024","0.6336156","0.6332188","0.6322977","0.6322658","0.63160175","0.6304482","0.6297108","0.62819916","0.6277335","0.6263008","0.6236405","0.6219903","0.6194412","0.61820036","0.61680514","0.6164688","0.61547464","0.6132559","0.61298174","0.6115875","0.6111241","0.6099426","0.60964626","0.60912627","0.6080067","0.6067324","0.60655326","0.6057631","0.6023889","0.6019563","0.6007132","0.60022056","0.59848034","0.598472","0.59741634","0.5970159","0.5967669","0.59659463","0.5964929","0.59639764","0.59627485","0.5962038","0.5951038","0.59421","0.59329915","0.59271896","0.5903965","0.58958846","0.5892383","0.5889273","0.58858496"],"string":"[\n \"0.75003606\",\n \"0.7351776\",\n \"0.70869946\",\n \"0.7059385\",\n \"0.7051654\",\n \"0.7022435\",\n \"0.7005667\",\n \"0.6984458\",\n \"0.697418\",\n \"0.69467145\",\n \"0.69450724\",\n \"0.694344\",\n \"0.6933639\",\n \"0.6921382\",\n \"0.69128203\",\n \"0.686584\",\n \"0.68342686\",\n \"0.6834009\",\n \"0.68138987\",\n \"0.6773396\",\n \"0.6756915\",\n \"0.67485654\",\n \"0.6744906\",\n \"0.67278856\",\n \"0.6717891\",\n \"0.67011654\",\n \"0.66970724\",\n \"0.665337\",\n \"0.66032946\",\n \"0.6579867\",\n \"0.6569599\",\n \"0.65424347\",\n \"0.65321743\",\n \"0.65292436\",\n \"0.65222776\",\n \"0.6505635\",\n \"0.65041316\",\n \"0.65037984\",\n \"0.6503378\",\n \"0.650239\",\n \"0.6485259\",\n \"0.6471862\",\n \"0.64549613\",\n \"0.64469093\",\n \"0.64147496\",\n \"0.63784486\",\n \"0.63709307\",\n \"0.635789\",\n \"0.6354693\",\n \"0.63404024\",\n \"0.6336156\",\n \"0.6332188\",\n \"0.6322977\",\n \"0.6322658\",\n \"0.63160175\",\n \"0.6304482\",\n \"0.6297108\",\n \"0.62819916\",\n \"0.6277335\",\n \"0.6263008\",\n \"0.6236405\",\n \"0.6219903\",\n \"0.6194412\",\n \"0.61820036\",\n \"0.61680514\",\n \"0.6164688\",\n \"0.61547464\",\n \"0.6132559\",\n \"0.61298174\",\n \"0.6115875\",\n \"0.6111241\",\n \"0.6099426\",\n \"0.60964626\",\n \"0.60912627\",\n \"0.6080067\",\n \"0.6067324\",\n \"0.60655326\",\n \"0.6057631\",\n \"0.6023889\",\n \"0.6019563\",\n \"0.6007132\",\n \"0.60022056\",\n \"0.59848034\",\n \"0.598472\",\n \"0.59741634\",\n \"0.5970159\",\n \"0.5967669\",\n \"0.59659463\",\n \"0.5964929\",\n \"0.59639764\",\n \"0.59627485\",\n \"0.5962038\",\n \"0.5951038\",\n \"0.59421\",\n \"0.59329915\",\n \"0.59271896\",\n \"0.5903965\",\n \"0.58958846\",\n \"0.5892383\",\n \"0.5889273\",\n \"0.58858496\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119290,"cells":{"query":{"kind":"string","value":"Test case number: 37 /Coverage entropy=2.0794415416798357"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test037() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"[Sdf yy*X>HdSr %<}\");\n xPathLexer0.consume((-1189));\n // Undeclared exception!\n try { \n xPathLexer0.or();\n fail(\"Expecting exception: StringIndexOutOfBoundsException\");\n \n } catch(StringIndexOutOfBoundsException e) {\n }\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 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 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 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\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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 }","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 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 }","@Override\n protected long getTestSolution() {\n return 100024;\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 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 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 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(\"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 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 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 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 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 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 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 testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", 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 public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", 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\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 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(\"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 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 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 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 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(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 @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(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", 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 @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 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(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 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 public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\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(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 }","public double entropyPotential() {\n \n return (-1.0);\n}","@Test\n @Tag(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\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 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 testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.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(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(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 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 @Tag(\"unstable\")\n public void testKEN_13() {\n CuteNetlibCase.doTest(\"KEN-13.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n public void testRulesetHighlife() {\n System.out.println(\"Highlife: B36/S23\");\n byte[][] highlife = { \n {0,0,0,0},\n {0,0,1,0},\n {0,1,1,0},\n {0,0,0,0},\n }; \n \n byte[][] expResult = { \n {0,0,0,0},\n {0,1,1,0},\n {0,1,1,0},\n {0,0,0,0},\n };\n \n ng.decodeRuleset(\"36\", \"23\");\n byte[][] result = ng.calcNextGen(highlife);\n assertArrayEquals(expResult, result);\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 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 test030() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives(2458);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\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\\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 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\\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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 \"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 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 \"@Override\\n protected long getTestSolution() {\\n return 100024;\\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 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 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 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(\\\"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 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 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 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 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 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 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 testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", 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 public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", 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\\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 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(\\\"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 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 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 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 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(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 @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(\\\"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 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 public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", 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 \"@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 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 public void test23() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\\n Object[] objectArray0 = new Object[25];\\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\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(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 \"public double entropyPotential() {\\n \\n return (-1.0);\\n}\",\n \"@Test\\n @Tag(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"public void test_0020() {\\n int nFactors = 2;\\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\\n\\n assertEquals(instance.nObs(), 18., 1e-15);\\n assertEquals(instance.nVariables(), 6., 1e-15);\\n assertEquals(instance.nFactors(), 2., 1e-15);\\n\\n FAEstimator estimators = instance.getEstimators(400);\\n\\n Vector uniqueness = estimators.psi();\\n assertArrayEquals(\\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\\n uniqueness.toArray(),\\n 2e-2);\\n\\n int dof = estimators.dof();\\n assertEquals(dof, 4);\\n\\n double fitted = estimators.logLikelihood();\\n assertEquals(fitted, 1.803, 1e-3);\\n\\n Matrix loadings = estimators.loadings();\\n assertTrue(AreMatrices.equal(\\n new DenseMatrix(new double[][]{\\n {0.971, 0.228},\\n {0.917, 0.213},\\n {0.429, 0.418},\\n {0.363, 0.355},\\n {0.254, 0.965},\\n {0.205, 0.928}\\n }),\\n loadings,\\n 1e-3));\\n\\n double testStats = estimators.statistics();\\n assertEquals(testStats, 23.14, 1e-2);\\n\\n double pValue = estimators.pValue();\\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\\n\\n// System.out.println(uniqueness.toString());\\n// System.out.println(fitted);\\n// System.out.println(loadings.toString());\\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 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 testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.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(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(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 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 @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 testRulesetHighlife() {\\n System.out.println(\\\"Highlife: B36/S23\\\");\\n byte[][] highlife = { \\n {0,0,0,0},\\n {0,0,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n }; \\n \\n byte[][] expResult = { \\n {0,0,0,0},\\n {0,1,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n };\\n \\n ng.decodeRuleset(\\\"36\\\", \\\"23\\\");\\n byte[][] result = ng.calcNextGen(highlife);\\n assertArrayEquals(expResult, result);\\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 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 test030() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives(2458);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7439303","0.7299318","0.70774746","0.70563245","0.6982963","0.6974257","0.6969972","0.6962873","0.69348943","0.6920888","0.69009906","0.6895283","0.68846","0.6847107","0.6833799","0.6818429","0.6811205","0.68037695","0.676031","0.67459303","0.6740714","0.6732205","0.6723096","0.6722739","0.67201096","0.67143834","0.66763884","0.66066325","0.66061765","0.6595079","0.65110946","0.6505202","0.6504322","0.64930737","0.64789176","0.64702636","0.6456352","0.64540124","0.64427817","0.64372724","0.64216644","0.6420709","0.64080375","0.6391669","0.63894117","0.6387318","0.63837296","0.6365892","0.63657975","0.6358486","0.63538903","0.635227","0.6341238","0.63395375","0.63276535","0.632495","0.63078123","0.63034666","0.6286949","0.62860227","0.62823224","0.6269147","0.6258362","0.6256073","0.6203212","0.6177677","0.616288","0.61368257","0.6114504","0.6086676","0.60819596","0.607913","0.6070415","0.6063509","0.60580444","0.60461146","0.6036065","0.60258174","0.6025759","0.6012146","0.6008028","0.6004181","0.6003231","0.5982043","0.5980829","0.5977234","0.5974877","0.5969119","0.59622556","0.5955355","0.5948475","0.5945188","0.5937173","0.5933218","0.5928921","0.5927994","0.59216523","0.5911517","0.59034395","0.58887064","0.58794415"],"string":"[\n \"0.7439303\",\n \"0.7299318\",\n \"0.70774746\",\n \"0.70563245\",\n \"0.6982963\",\n \"0.6974257\",\n \"0.6969972\",\n \"0.6962873\",\n \"0.69348943\",\n \"0.6920888\",\n \"0.69009906\",\n \"0.6895283\",\n \"0.68846\",\n \"0.6847107\",\n \"0.6833799\",\n \"0.6818429\",\n \"0.6811205\",\n \"0.68037695\",\n \"0.676031\",\n \"0.67459303\",\n \"0.6740714\",\n \"0.6732205\",\n \"0.6723096\",\n \"0.6722739\",\n \"0.67201096\",\n \"0.67143834\",\n \"0.66763884\",\n \"0.66066325\",\n \"0.66061765\",\n \"0.6595079\",\n \"0.65110946\",\n \"0.6505202\",\n \"0.6504322\",\n \"0.64930737\",\n \"0.64789176\",\n \"0.64702636\",\n \"0.6456352\",\n \"0.64540124\",\n \"0.64427817\",\n \"0.64372724\",\n \"0.64216644\",\n \"0.6420709\",\n \"0.64080375\",\n \"0.6391669\",\n \"0.63894117\",\n \"0.6387318\",\n \"0.63837296\",\n \"0.6365892\",\n \"0.63657975\",\n \"0.6358486\",\n \"0.63538903\",\n \"0.635227\",\n \"0.6341238\",\n \"0.63395375\",\n \"0.63276535\",\n \"0.632495\",\n \"0.63078123\",\n \"0.63034666\",\n \"0.6286949\",\n \"0.62860227\",\n \"0.62823224\",\n \"0.6269147\",\n \"0.6258362\",\n \"0.6256073\",\n \"0.6203212\",\n \"0.6177677\",\n \"0.616288\",\n \"0.61368257\",\n \"0.6114504\",\n \"0.6086676\",\n \"0.60819596\",\n \"0.607913\",\n \"0.6070415\",\n \"0.6063509\",\n \"0.60580444\",\n \"0.60461146\",\n \"0.6036065\",\n \"0.60258174\",\n \"0.6025759\",\n \"0.6012146\",\n \"0.6008028\",\n \"0.6004181\",\n \"0.6003231\",\n \"0.5982043\",\n \"0.5980829\",\n \"0.5977234\",\n \"0.5974877\",\n \"0.5969119\",\n \"0.59622556\",\n \"0.5955355\",\n \"0.5948475\",\n \"0.5945188\",\n \"0.5937173\",\n \"0.5933218\",\n \"0.5928921\",\n \"0.5927994\",\n \"0.59216523\",\n \"0.5911517\",\n \"0.59034395\",\n \"0.58887064\",\n \"0.58794415\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119291,"cells":{"query":{"kind":"string","value":"Test case number: 38 /Coverage entropy=1.945910149055313"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test038() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer();\n xPathLexer0.consume((-2535));\n // Undeclared exception!\n try { \n xPathLexer0.or();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\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 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 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 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 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 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 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 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 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 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 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 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 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 }","@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 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 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\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 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 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 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 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 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\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 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 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 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\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 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\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 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 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 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 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 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 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 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 }","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 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 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 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 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 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\n @Tag(\"bm1000\")\n public void testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", 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 }","@Override\n protected long getTestSolution() {\n return 100024;\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 }","@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\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 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 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 testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", 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 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 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 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 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 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 public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", 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 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 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 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 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();\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 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 testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test\n public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\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(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(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 testSC205() {\n CuteNetlibCase.doTest(\"SC205.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 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(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 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 testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", NumberContext.of(7, 4));\n }","public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\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 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 test030() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives(2458);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }","public double entropyPotential() {\n \n return (-1.0);\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(timeout = 4000)\n public void test028() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numTrueNegatives(2308);\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }","@Test\n public void testRulesetHighlife() {\n System.out.println(\"Highlife: B36/S23\");\n byte[][] highlife = { \n {0,0,0,0},\n {0,0,1,0},\n {0,1,1,0},\n {0,0,0,0},\n }; \n \n byte[][] expResult = { \n {0,0,0,0},\n {0,1,1,0},\n {0,1,1,0},\n {0,0,0,0},\n };\n \n ng.decodeRuleset(\"36\", \"23\");\n byte[][] result = ng.calcNextGen(highlife);\n assertArrayEquals(expResult, result);\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 @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 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 }"],"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 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 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 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 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\\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 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 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 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 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 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 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 \"@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 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 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 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 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 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 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 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 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\\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 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 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 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\\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 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 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 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 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 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 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 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 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 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 \"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 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 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 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 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 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\\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(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\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 \"@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\\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 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 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 testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", 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 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 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 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 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 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 public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", 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 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 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 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 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();\\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 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 testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test23() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\\n Object[] objectArray0 = new Object[25];\\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\\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(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(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 testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.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 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(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 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 testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", NumberContext.of(7, 4));\\n }\",\n \"public void test_0020() {\\n int nFactors = 2;\\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\\n\\n assertEquals(instance.nObs(), 18., 1e-15);\\n assertEquals(instance.nVariables(), 6., 1e-15);\\n assertEquals(instance.nFactors(), 2., 1e-15);\\n\\n FAEstimator estimators = instance.getEstimators(400);\\n\\n Vector uniqueness = estimators.psi();\\n assertArrayEquals(\\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\\n uniqueness.toArray(),\\n 2e-2);\\n\\n int dof = estimators.dof();\\n assertEquals(dof, 4);\\n\\n double fitted = estimators.logLikelihood();\\n assertEquals(fitted, 1.803, 1e-3);\\n\\n Matrix loadings = estimators.loadings();\\n assertTrue(AreMatrices.equal(\\n new DenseMatrix(new double[][]{\\n {0.971, 0.228},\\n {0.917, 0.213},\\n {0.429, 0.418},\\n {0.363, 0.355},\\n {0.254, 0.965},\\n {0.205, 0.928}\\n }),\\n loadings,\\n 1e-3));\\n\\n double testStats = estimators.statistics();\\n assertEquals(testStats, 23.14, 1e-2);\\n\\n double pValue = estimators.pValue();\\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\\n\\n// System.out.println(uniqueness.toString());\\n// System.out.println(fitted);\\n// System.out.println(loadings.toString());\\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 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 test030() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numFalseNegatives(2458);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"public double entropyPotential() {\\n \\n return (-1.0);\\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(timeout = 4000)\\n public void test028() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.numTrueNegatives(2308);\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void testRulesetHighlife() {\\n System.out.println(\\\"Highlife: B36/S23\\\");\\n byte[][] highlife = { \\n {0,0,0,0},\\n {0,0,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n }; \\n \\n byte[][] expResult = { \\n {0,0,0,0},\\n {0,1,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n };\\n \\n ng.decodeRuleset(\\\"36\\\", \\\"23\\\");\\n byte[][] result = ng.calcNextGen(highlife);\\n assertArrayEquals(expResult, result);\\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 @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 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]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7391054","0.7225463","0.7062261","0.70534617","0.7019792","0.70058155","0.6976073","0.695002","0.6947342","0.690256","0.6876788","0.6868207","0.6862065","0.68575567","0.6847389","0.6842623","0.6830686","0.6800812","0.6793789","0.67434716","0.6734262","0.67267096","0.67243326","0.67104715","0.67046005","0.6648957","0.664482","0.6606741","0.6584455","0.65570384","0.6555804","0.65234435","0.6508813","0.65033644","0.65025085","0.64729226","0.646376","0.64575684","0.64527446","0.64508104","0.64405435","0.6430094","0.64127415","0.6405691","0.6397302","0.63965493","0.63960904","0.6387577","0.6370001","0.63603526","0.6360227","0.63442665","0.633152","0.62999517","0.62889844","0.62807274","0.62710834","0.6269235","0.62648773","0.62500334","0.62369514","0.6233471","0.62213707","0.6196994","0.61719894","0.6166542","0.6131114","0.61293846","0.6124031","0.61160177","0.61076576","0.60951","0.60820043","0.60623944","0.6048457","0.6047676","0.6037893","0.6029585","0.6027702","0.6014822","0.6003269","0.59934866","0.59757966","0.59728986","0.5965757","0.59622675","0.5961115","0.59567374","0.59555256","0.5952609","0.5948178","0.59433734","0.5943289","0.593811","0.5929469","0.59176815","0.5916296","0.5912506","0.5905814","0.590446","0.58968055"],"string":"[\n \"0.7391054\",\n \"0.7225463\",\n \"0.7062261\",\n \"0.70534617\",\n \"0.7019792\",\n \"0.70058155\",\n \"0.6976073\",\n \"0.695002\",\n \"0.6947342\",\n \"0.690256\",\n \"0.6876788\",\n \"0.6868207\",\n \"0.6862065\",\n \"0.68575567\",\n \"0.6847389\",\n \"0.6842623\",\n \"0.6830686\",\n \"0.6800812\",\n \"0.6793789\",\n \"0.67434716\",\n \"0.6734262\",\n \"0.67267096\",\n \"0.67243326\",\n \"0.67104715\",\n \"0.67046005\",\n \"0.6648957\",\n \"0.664482\",\n \"0.6606741\",\n \"0.6584455\",\n \"0.65570384\",\n \"0.6555804\",\n \"0.65234435\",\n \"0.6508813\",\n \"0.65033644\",\n \"0.65025085\",\n \"0.64729226\",\n \"0.646376\",\n \"0.64575684\",\n \"0.64527446\",\n \"0.64508104\",\n \"0.64405435\",\n \"0.6430094\",\n \"0.64127415\",\n \"0.6405691\",\n \"0.6397302\",\n \"0.63965493\",\n \"0.63960904\",\n \"0.6387577\",\n \"0.6370001\",\n \"0.63603526\",\n \"0.6360227\",\n \"0.63442665\",\n \"0.633152\",\n \"0.62999517\",\n \"0.62889844\",\n \"0.62807274\",\n \"0.62710834\",\n \"0.6269235\",\n \"0.62648773\",\n \"0.62500334\",\n \"0.62369514\",\n \"0.6233471\",\n \"0.62213707\",\n \"0.6196994\",\n \"0.61719894\",\n \"0.6166542\",\n \"0.6131114\",\n \"0.61293846\",\n \"0.6124031\",\n \"0.61160177\",\n \"0.61076576\",\n \"0.60951\",\n \"0.60820043\",\n \"0.60623944\",\n \"0.6048457\",\n \"0.6047676\",\n \"0.6037893\",\n \"0.6029585\",\n \"0.6027702\",\n \"0.6014822\",\n \"0.6003269\",\n \"0.59934866\",\n \"0.59757966\",\n \"0.59728986\",\n \"0.5965757\",\n \"0.59622675\",\n \"0.5961115\",\n \"0.59567374\",\n \"0.59555256\",\n \"0.5952609\",\n \"0.5948178\",\n \"0.59433734\",\n \"0.5943289\",\n \"0.593811\",\n \"0.5929469\",\n \"0.59176815\",\n \"0.5916296\",\n \"0.5912506\",\n \"0.5905814\",\n \"0.590446\",\n \"0.58968055\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119292,"cells":{"query":{"kind":"string","value":"Test case number: 39 /Coverage entropy=2.0794415416798357"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test039() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"[ (\");\n xPathLexer0.consume((-663));\n // Undeclared exception!\n try { \n xPathLexer0.operatorName();\n fail(\"Expecting exception: StringIndexOutOfBoundsException\");\n \n } catch(StringIndexOutOfBoundsException e) {\n }\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\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(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 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 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 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\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 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 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 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\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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 }","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 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 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 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 }","@Override\n protected long getTestSolution() {\n return 100024;\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 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 public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", 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 @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 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 }","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 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 testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", 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 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 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 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 testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", 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 @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 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 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 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 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 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 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(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(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 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(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 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 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 testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", 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\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 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 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 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(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, NumberContext.of(7, 4));\n }","@Test\n public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\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 }","public double entropyPotential() {\n \n return (-1.0);\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 testSC205() {\n CuteNetlibCase.doTest(\"SC205.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 public void testCalculateProbability() throws IOException, ParseException, MathException {\n System.out.println(\"calculateProbability\");\n OrganizationsRegister ro = info(\"e\", \"f\");\n String id = \"12\";\n String expResult = \"25,25 %\";\n String result = ro.calculateProbability();\n assertEquals(expResult, result);\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 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 }","public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\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(\"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\\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 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 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 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 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 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\\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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 \"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 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 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 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 \"@Override\\n protected long getTestSolution() {\\n return 100024;\\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 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 public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", 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 @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 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 \"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 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 testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", 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 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 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 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 testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", 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 @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 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 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 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 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 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 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(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(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 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(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 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 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 testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", 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\\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 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 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 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(\\\"bm1000\\\")\\n public void testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void test23() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\\n Object[] objectArray0 = new Object[25];\\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\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 \"public double entropyPotential() {\\n \\n return (-1.0);\\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 testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.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 public void testCalculateProbability() throws IOException, ParseException, MathException {\\n System.out.println(\\\"calculateProbability\\\");\\n OrganizationsRegister ro = info(\\\"e\\\", \\\"f\\\");\\n String id = \\\"12\\\";\\n String expResult = \\\"25,25 %\\\";\\n String result = ro.calculateProbability();\\n assertEquals(expResult, result);\\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 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 \"public void test_0020() {\\n int nFactors = 2;\\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\\n\\n assertEquals(instance.nObs(), 18., 1e-15);\\n assertEquals(instance.nVariables(), 6., 1e-15);\\n assertEquals(instance.nFactors(), 2., 1e-15);\\n\\n FAEstimator estimators = instance.getEstimators(400);\\n\\n Vector uniqueness = estimators.psi();\\n assertArrayEquals(\\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\\n uniqueness.toArray(),\\n 2e-2);\\n\\n int dof = estimators.dof();\\n assertEquals(dof, 4);\\n\\n double fitted = estimators.logLikelihood();\\n assertEquals(fitted, 1.803, 1e-3);\\n\\n Matrix loadings = estimators.loadings();\\n assertTrue(AreMatrices.equal(\\n new DenseMatrix(new double[][]{\\n {0.971, 0.228},\\n {0.917, 0.213},\\n {0.429, 0.418},\\n {0.363, 0.355},\\n {0.254, 0.965},\\n {0.205, 0.928}\\n }),\\n loadings,\\n 1e-3));\\n\\n double testStats = estimators.statistics();\\n assertEquals(testStats, 23.14, 1e-2);\\n\\n double pValue = estimators.pValue();\\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\\n\\n// System.out.println(uniqueness.toString());\\n// System.out.println(fitted);\\n// System.out.println(loadings.toString());\\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(\\\"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":["0.73857933","0.7216915","0.70358795","0.6982751","0.6950932","0.6941329","0.6930603","0.6923182","0.68749017","0.6869802","0.68676287","0.6842234","0.6828703","0.68269193","0.6799602","0.67903966","0.6772774","0.6756528","0.67523885","0.6727343","0.6713915","0.66887635","0.6667303","0.66546386","0.66397625","0.66369116","0.6565202","0.6556034","0.65433025","0.65239125","0.650185","0.64861697","0.64777","0.6442631","0.644047","0.6437967","0.6425749","0.64213836","0.64210695","0.6420388","0.63954055","0.6379955","0.6371268","0.6368987","0.6357444","0.6356923","0.6348711","0.6338353","0.63370377","0.63261914","0.63261306","0.63001865","0.6282844","0.6280169","0.62739867","0.62694687","0.6252126","0.6249709","0.6245876","0.62217796","0.62010103","0.6198182","0.6187797","0.6174341","0.6173389","0.6156099","0.6153991","0.6152232","0.6128897","0.6128415","0.6102595","0.6101522","0.6087246","0.6081125","0.6078933","0.6078874","0.60737413","0.6072558","0.60708606","0.60293865","0.60206246","0.6019075","0.6018902","0.6002315","0.6001386","0.5997993","0.5995382","0.59922415","0.5975964","0.59735984","0.59691805","0.5960134","0.5942211","0.59346217","0.5930832","0.5926724","0.5926328","0.5913066","0.59114385","0.5900244","0.58961093"],"string":"[\n \"0.73857933\",\n \"0.7216915\",\n \"0.70358795\",\n \"0.6982751\",\n \"0.6950932\",\n \"0.6941329\",\n \"0.6930603\",\n \"0.6923182\",\n \"0.68749017\",\n \"0.6869802\",\n \"0.68676287\",\n \"0.6842234\",\n \"0.6828703\",\n \"0.68269193\",\n \"0.6799602\",\n \"0.67903966\",\n \"0.6772774\",\n \"0.6756528\",\n \"0.67523885\",\n \"0.6727343\",\n \"0.6713915\",\n \"0.66887635\",\n \"0.6667303\",\n \"0.66546386\",\n \"0.66397625\",\n \"0.66369116\",\n \"0.6565202\",\n \"0.6556034\",\n \"0.65433025\",\n \"0.65239125\",\n \"0.650185\",\n \"0.64861697\",\n \"0.64777\",\n \"0.6442631\",\n \"0.644047\",\n \"0.6437967\",\n \"0.6425749\",\n \"0.64213836\",\n \"0.64210695\",\n \"0.6420388\",\n \"0.63954055\",\n \"0.6379955\",\n \"0.6371268\",\n \"0.6368987\",\n \"0.6357444\",\n \"0.6356923\",\n \"0.6348711\",\n \"0.6338353\",\n \"0.63370377\",\n \"0.63261914\",\n \"0.63261306\",\n \"0.63001865\",\n \"0.6282844\",\n \"0.6280169\",\n \"0.62739867\",\n \"0.62694687\",\n \"0.6252126\",\n \"0.6249709\",\n \"0.6245876\",\n \"0.62217796\",\n \"0.62010103\",\n \"0.6198182\",\n \"0.6187797\",\n \"0.6174341\",\n \"0.6173389\",\n \"0.6156099\",\n \"0.6153991\",\n \"0.6152232\",\n \"0.6128897\",\n \"0.6128415\",\n \"0.6102595\",\n \"0.6101522\",\n \"0.6087246\",\n \"0.6081125\",\n \"0.6078933\",\n \"0.6078874\",\n \"0.60737413\",\n \"0.6072558\",\n \"0.60708606\",\n \"0.60293865\",\n \"0.60206246\",\n \"0.6019075\",\n \"0.6018902\",\n \"0.6002315\",\n \"0.6001386\",\n \"0.5997993\",\n \"0.5995382\",\n \"0.59922415\",\n \"0.5975964\",\n \"0.59735984\",\n \"0.59691805\",\n \"0.5960134\",\n \"0.5942211\",\n \"0.59346217\",\n \"0.5930832\",\n \"0.5926724\",\n \"0.5926328\",\n \"0.5913066\",\n \"0.59114385\",\n \"0.5900244\",\n \"0.58961093\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119293,"cells":{"query":{"kind":"string","value":"Test case number: 40 /Coverage entropy=2.0794415416798357"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test040() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"com.werken.saxpath.XPathLexer\");\n xPathLexer0.consume((-796));\n // Undeclared exception!\n try { \n xPathLexer0.number();\n fail(\"Expecting exception: StringIndexOutOfBoundsException\");\n \n } catch(StringIndexOutOfBoundsException e) {\n }\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\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 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 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 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 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(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 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 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 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\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 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 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 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 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 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 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 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 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 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 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(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 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 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 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 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 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 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 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 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 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 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 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 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 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 @Tag(\"slow\")\n public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\n }","@Override\n protected long getTestSolution() {\n return 100024;\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(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 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 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 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 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 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 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 @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 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 testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", 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(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 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 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 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(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 testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", 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 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 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 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(\"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 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 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 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 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 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 @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 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 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 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 public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", 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 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 }","@ParameterizedTest\n @ArgumentsSource(TestForestProvider.class)\n public void testMultipleAttributions(RandomCutForest forest) {\n int hardPass=0;\n int causal=0;\n double [] point ={6.0,0.0,0.0};\n DiVector result = forest.getAnomalyAttribution(point);\n assertTrue(result.low[0] < 0.2);\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.getHighLowSum(1) + result.getHighLowSum(2) < 1.0);\n assertTrue(result.high[0] > forest.getAnomalyScore(point)/3);\n if (result.high[0] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n // the last line states that first coordinate was high and was a majority contributor to the score\n // the previous test states that the contribution is twice the average of the 12 possible contributors.\n // these tests all subparts of the score at once\n\n point=new double [] {-6.0,0.0,0.0};\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.getHighLowSum()>1.0);\n assertTrue(result.high[0] < 0.5);\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.low[0] > forest.getAnomalyScore(point)/3);\n if (result.low[0] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n point=new double [] {0.0,6.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.low[1] < 0.5);\n assertTrue(result.high[1] > forest.getAnomalyScore(point)/3);\n if (result.high[1] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n point=new double [] {0.0,-6.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.high[1] < 0.5);\n assertTrue(result.low[1] > forest.getAnomalyScore(point)/3);\n if (result.low[1] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n point=new double [] {0.0,0.0,6.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n assertTrue(result.low[2] < 0.5);\n assertTrue(result.high[2] > forest.getAnomalyScore(point)/3);\n if (result.high[2] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n point=new double [] {0.0,0.0,-6.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n assertTrue(result.high[2] < 0.5);\n assertTrue(result.low[2] > forest.getAnomalyScore(point)/3);\n if (result.low[2] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n assertTrue(causal>=5); // maximum is 6; there can be skew in one direction\n\n point=new double [] {-3.0,0.0,0.0};\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.high[0] < 0.5);\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.low[0] >\n forest.getAnomalyScore(point)/3);\n\n /* For multiple causes, the relationship of scores only hold for larger\n * distances.\n */\n\n point=new double [] {-3.0,6.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.low[0] > 0.5) ++hardPass;\n assertTrue(result.high[0] < 0.5);\n assertTrue(result.low[1] < 0.5);\n assertTrue(result.high[1] > 0.5);\n if (result.high[1]>0.9) ++hardPass;\n assertTrue(result.getHighLowSum(2)< 0.5);\n assertTrue(result.high[1]+result.low[0]>\n 0.8*forest.getAnomalyScore(point));\n\n point=new double [] {6.0,-3.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.low[0] < 0.5);\n assertTrue(result.high[0] > 0.5);\n if (result.high[0]>0.9) ++hardPass;\n if (result.low[1] > 0.5) ++hardPass;\n assertTrue(result.high[1] < 0.5);\n assertTrue(result.getHighLowSum(2) < 0.5);\n assertTrue(result.high[0]+result.low[1]>\n 0.8*forest.getAnomalyScore(point));\n\n point=new double [] {20.0,-10.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.high[0]+result.low[1]>\n 0.8*forest.getAnomalyScore(point));\n if (result.high[0]>1.8*result.low[1]) ++hardPass;\n if (result.low[1]>result.high[0]/2.2) ++hardPass;\n\n assertTrue(hardPass>=15); //maximum is 20\n }","@Test\n public void testFitnessProportionateSelection()\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 }","public double entropyPotential() {\n \n return (-1.0);\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 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(\"slow\")\n @Tag(\"unstable\")\n public void testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }","@Test\n\tpublic void testOptimization() throws Exception {\n\t\tfor(int i = 0; i < 20000000; i++) {\n\t\t\tint _300s = (int) (Math.random() * 100);\n\t\t\tint _100s = (int) (Math.random() * 100);\n\t\t\tint _50s = (int) (Math.random() * 100);\n\t\t\tint misses = (int) (Math.random() * 100);\n\t\t\t\n\t\t\tdouble acc = OsuApiScore.getAccuracy(_300s, _100s, _50s, misses);\n\t\t\t\n\t\t\tAccuracyDistribution accuracyDistribution = AccuracyDistribution.closest(\n\t\t\t\t\t_300s + _100s + _50s + misses, misses,\n\t\t\t\t\tacc);\n\t\t\t\n\t\t\tdouble rec = OsuApiScore.getAccuracy(accuracyDistribution.getX300(),\n\t\t\t\t\taccuracyDistribution.getX100(), accuracyDistribution.getX50(),\n\t\t\t\t\taccuracyDistribution.getMiss());\n\t\t\t\n\t\t\tassertEquals(acc, rec, 0d);\n\t\t}\n\t}","@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 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 }"],"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\\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 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 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 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 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(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 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 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 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\\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 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 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 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 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 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\\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 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 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 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(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 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 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 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 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 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 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 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 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 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 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 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 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 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 @Tag(\\\"slow\\\")\\n public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\n }\",\n \"@Override\\n protected long getTestSolution() {\\n return 100024;\\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(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 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 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 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 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 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 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 @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 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 testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", 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(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 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 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 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(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 testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", 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 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 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 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(\\\"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 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 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 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 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 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 @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 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 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 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 public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", 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 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 \"@ParameterizedTest\\n @ArgumentsSource(TestForestProvider.class)\\n public void testMultipleAttributions(RandomCutForest forest) {\\n int hardPass=0;\\n int causal=0;\\n double [] point ={6.0,0.0,0.0};\\n DiVector result = forest.getAnomalyAttribution(point);\\n assertTrue(result.low[0] < 0.2);\\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\\n assertTrue(result.getHighLowSum(1) + result.getHighLowSum(2) < 1.0);\\n assertTrue(result.high[0] > forest.getAnomalyScore(point)/3);\\n if (result.high[0] > 0.5 * forest.getAnomalyScore(point)) ++causal;\\n\\n // the last line states that first coordinate was high and was a majority contributor to the score\\n // the previous test states that the contribution is twice the average of the 12 possible contributors.\\n // these tests all subparts of the score at once\\n\\n point=new double [] {-6.0,0.0,0.0};\\n result = forest.getAnomalyAttribution(point);\\n assertTrue(result.getHighLowSum()>1.0);\\n assertTrue(result.high[0] < 0.5);\\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\\n assertTrue(result.low[0] > forest.getAnomalyScore(point)/3);\\n if (result.low[0] > 0.5 * forest.getAnomalyScore(point)) ++causal;\\n\\n\\n point=new double [] {0.0,6.0,0.0};\\n assertTrue(result.getHighLowSum()>1.0);\\n result = forest.getAnomalyAttribution(point);\\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\\n assertTrue(result.low[1] < 0.5);\\n assertTrue(result.high[1] > forest.getAnomalyScore(point)/3);\\n if (result.high[1] > 0.5 * forest.getAnomalyScore(point)) ++causal;\\n\\n\\n point=new double [] {0.0,-6.0,0.0};\\n assertTrue(result.getHighLowSum()>1.0);\\n result = forest.getAnomalyAttribution(point);\\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\\n assertTrue(result.high[1] < 0.5);\\n assertTrue(result.low[1] > forest.getAnomalyScore(point)/3);\\n if (result.low[1] > 0.5 * forest.getAnomalyScore(point)) ++causal;\\n\\n\\n point=new double [] {0.0,0.0,6.0};\\n assertTrue(result.getHighLowSum()>1.0);\\n result = forest.getAnomalyAttribution(point);\\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\\n assertTrue(result.low[2] < 0.5);\\n assertTrue(result.high[2] > forest.getAnomalyScore(point)/3);\\n if (result.high[2] > 0.5 * forest.getAnomalyScore(point)) ++causal;\\n\\n point=new double [] {0.0,0.0,-6.0};\\n assertTrue(result.getHighLowSum()>1.0);\\n result = forest.getAnomalyAttribution(point);\\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\\n assertTrue(result.high[2] < 0.5);\\n assertTrue(result.low[2] > forest.getAnomalyScore(point)/3);\\n if (result.low[2] > 0.5 * forest.getAnomalyScore(point)) ++causal;\\n\\n\\n assertTrue(causal>=5); // maximum is 6; there can be skew in one direction\\n\\n point=new double [] {-3.0,0.0,0.0};\\n result = forest.getAnomalyAttribution(point);\\n assertTrue(result.high[0] < 0.5);\\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\\n assertTrue(result.low[0] >\\n forest.getAnomalyScore(point)/3);\\n\\n /* For multiple causes, the relationship of scores only hold for larger\\n * distances.\\n */\\n\\n point=new double [] {-3.0,6.0,0.0};\\n assertTrue(result.getHighLowSum()>1.0);\\n result = forest.getAnomalyAttribution(point);\\n if (result.low[0] > 0.5) ++hardPass;\\n assertTrue(result.high[0] < 0.5);\\n assertTrue(result.low[1] < 0.5);\\n assertTrue(result.high[1] > 0.5);\\n if (result.high[1]>0.9) ++hardPass;\\n assertTrue(result.getHighLowSum(2)< 0.5);\\n assertTrue(result.high[1]+result.low[0]>\\n 0.8*forest.getAnomalyScore(point));\\n\\n point=new double [] {6.0,-3.0,0.0};\\n assertTrue(result.getHighLowSum()>1.0);\\n result = forest.getAnomalyAttribution(point);\\n assertTrue(result.low[0] < 0.5);\\n assertTrue(result.high[0] > 0.5);\\n if (result.high[0]>0.9) ++hardPass;\\n if (result.low[1] > 0.5) ++hardPass;\\n assertTrue(result.high[1] < 0.5);\\n assertTrue(result.getHighLowSum(2) < 0.5);\\n assertTrue(result.high[0]+result.low[1]>\\n 0.8*forest.getAnomalyScore(point));\\n\\n point=new double [] {20.0,-10.0,0.0};\\n assertTrue(result.getHighLowSum()>1.0);\\n result = forest.getAnomalyAttribution(point);\\n assertTrue(result.high[0]+result.low[1]>\\n 0.8*forest.getAnomalyScore(point));\\n if (result.high[0]>1.8*result.low[1]) ++hardPass;\\n if (result.low[1]>result.high[0]/2.2) ++hardPass;\\n\\n assertTrue(hardPass>=15); //maximum is 20\\n }\",\n \"@Test\\n public void testFitnessProportionateSelection()\\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 \"public double entropyPotential() {\\n \\n return (-1.0);\\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 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(\\\"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\\tpublic void testOptimization() throws Exception {\\n\\t\\tfor(int i = 0; i < 20000000; i++) {\\n\\t\\t\\tint _300s = (int) (Math.random() * 100);\\n\\t\\t\\tint _100s = (int) (Math.random() * 100);\\n\\t\\t\\tint _50s = (int) (Math.random() * 100);\\n\\t\\t\\tint misses = (int) (Math.random() * 100);\\n\\t\\t\\t\\n\\t\\t\\tdouble acc = OsuApiScore.getAccuracy(_300s, _100s, _50s, misses);\\n\\t\\t\\t\\n\\t\\t\\tAccuracyDistribution accuracyDistribution = AccuracyDistribution.closest(\\n\\t\\t\\t\\t\\t_300s + _100s + _50s + misses, misses,\\n\\t\\t\\t\\t\\tacc);\\n\\t\\t\\t\\n\\t\\t\\tdouble rec = OsuApiScore.getAccuracy(accuracyDistribution.getX300(),\\n\\t\\t\\t\\t\\taccuracyDistribution.getX100(), accuracyDistribution.getX50(),\\n\\t\\t\\t\\t\\taccuracyDistribution.getMiss());\\n\\t\\t\\t\\n\\t\\t\\tassertEquals(acc, rec, 0d);\\n\\t\\t}\\n\\t}\",\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 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]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.73514235","0.71251196","0.7029289","0.69905674","0.6958436","0.6931662","0.68841815","0.68749106","0.6826996","0.68189573","0.6793022","0.6769548","0.6764855","0.67460966","0.67346954","0.6734594","0.67162806","0.6691644","0.6679024","0.66020465","0.65851796","0.6576297","0.6556644","0.6547472","0.65272725","0.6503558","0.6493034","0.6486357","0.64741653","0.64674944","0.64375997","0.6427893","0.6400491","0.639787","0.63807166","0.63663787","0.6359876","0.6359873","0.6338536","0.6334478","0.63269025","0.63239175","0.63205254","0.63171685","0.6307918","0.6288519","0.62870085","0.6286362","0.62828225","0.62806237","0.6269573","0.6264353","0.6257309","0.6229548","0.6226884","0.62255746","0.6219605","0.6215081","0.6205907","0.6195401","0.6190692","0.61754024","0.61690587","0.6153389","0.61510015","0.6130779","0.6125445","0.61246437","0.612228","0.6120954","0.6110019","0.61090237","0.610579","0.6091209","0.6073623","0.6070475","0.60688746","0.6066208","0.6060038","0.6056437","0.6040849","0.6038411","0.60213566","0.6012681","0.60126555","0.599612","0.5987394","0.5973031","0.59696686","0.59624505","0.5950282","0.5934921","0.5930736","0.5928835","0.59250003","0.5921377","0.58954275","0.58932245","0.58892184","0.588667","0.5868947"],"string":"[\n \"0.73514235\",\n \"0.71251196\",\n \"0.7029289\",\n \"0.69905674\",\n \"0.6958436\",\n \"0.6931662\",\n \"0.68841815\",\n \"0.68749106\",\n \"0.6826996\",\n \"0.68189573\",\n \"0.6793022\",\n \"0.6769548\",\n \"0.6764855\",\n \"0.67460966\",\n \"0.67346954\",\n \"0.6734594\",\n \"0.67162806\",\n \"0.6691644\",\n \"0.6679024\",\n \"0.66020465\",\n \"0.65851796\",\n \"0.6576297\",\n \"0.6556644\",\n \"0.6547472\",\n \"0.65272725\",\n \"0.6503558\",\n \"0.6493034\",\n \"0.6486357\",\n \"0.64741653\",\n \"0.64674944\",\n \"0.64375997\",\n \"0.6427893\",\n \"0.6400491\",\n \"0.639787\",\n \"0.63807166\",\n \"0.63663787\",\n \"0.6359876\",\n \"0.6359873\",\n \"0.6338536\",\n \"0.6334478\",\n \"0.63269025\",\n \"0.63239175\",\n \"0.63205254\",\n \"0.63171685\",\n \"0.6307918\",\n \"0.6288519\",\n \"0.62870085\",\n \"0.6286362\",\n \"0.62828225\",\n \"0.62806237\",\n \"0.6269573\",\n \"0.6264353\",\n \"0.6257309\",\n \"0.6229548\",\n \"0.6226884\",\n \"0.62255746\",\n \"0.6219605\",\n \"0.6215081\",\n \"0.6205907\",\n \"0.6195401\",\n \"0.6190692\",\n \"0.61754024\",\n \"0.61690587\",\n \"0.6153389\",\n \"0.61510015\",\n \"0.6130779\",\n \"0.6125445\",\n \"0.61246437\",\n \"0.612228\",\n \"0.6120954\",\n \"0.6110019\",\n \"0.61090237\",\n \"0.610579\",\n \"0.6091209\",\n \"0.6073623\",\n \"0.6070475\",\n \"0.60688746\",\n \"0.6066208\",\n \"0.6060038\",\n \"0.6056437\",\n \"0.6040849\",\n \"0.6038411\",\n \"0.60213566\",\n \"0.6012681\",\n \"0.60126555\",\n \"0.599612\",\n \"0.5987394\",\n \"0.5973031\",\n \"0.59696686\",\n \"0.59624505\",\n \"0.5950282\",\n \"0.5934921\",\n \"0.5930736\",\n \"0.5928835\",\n \"0.59250003\",\n \"0.5921377\",\n \"0.58954275\",\n \"0.58932245\",\n \"0.58892184\",\n \"0.588667\",\n \"0.5868947\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119294,"cells":{"query":{"kind":"string","value":"Test case number: 41 /Coverage entropy=2.0794415416798357"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test041() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"com.werken.saxpath.XPathLexer\");\n xPathLexer0.consume((-2521));\n // Undeclared exception!\n try { \n xPathLexer0.nextToken();\n fail(\"Expecting exception: StringIndexOutOfBoundsException\");\n \n } catch(StringIndexOutOfBoundsException e) {\n }\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\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 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 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 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 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 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 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 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 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\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 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 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 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 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 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 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 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 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 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 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 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 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 }","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 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 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 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 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 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 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 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 testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\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 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\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 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 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 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_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(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 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 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 }","@Override\n protected long getTestSolution() {\n return 100024;\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 testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", 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 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 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 testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", NumberContext.of(7, 4));\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(\"bm1000\")\n public void testSC50A() {\n CuteNetlibCase.doTest(\"SC50A.SIF\", \"-64.57507705856449\", \"0.0\", 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 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 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 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(\"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 testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", 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(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 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 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(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 public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\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 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 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 }","public double entropyPotential() {\n \n return (-1.0);\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 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 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 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(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\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 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 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 }","public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\n }","@Test\n public void testRulesetHighlife() {\n System.out.println(\"Highlife: B36/S23\");\n byte[][] highlife = { \n {0,0,0,0},\n {0,0,1,0},\n {0,1,1,0},\n {0,0,0,0},\n }; \n \n byte[][] expResult = { \n {0,0,0,0},\n {0,1,1,0},\n {0,1,1,0},\n {0,0,0,0},\n };\n \n ng.decodeRuleset(\"36\", \"23\");\n byte[][] result = ng.calcNextGen(highlife);\n assertArrayEquals(expResult, result);\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 @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 public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","public static void main(String[] args) {\n\n\n\n int timeSteps = 2;\n int variables = 100;\n RandomGenerator rg = new RandomGenerator();\n rg.setSeed(System.currentTimeMillis());\n\n// Create many columns in a multidimensional array (2 rows by 100 columns),\n// where the next time step (row 2) copies the value of the column on the left\n// from the previous time step (row 1):\n int[][] twoDTimeSeries = new int[timeSteps][];\n twoDTimeSeries[0] = rg.generateRandomInts(variables, 2); //表示产生服从0-2均匀分布的100个随机数\n twoDTimeSeries[1] = new int[variables];\n twoDTimeSeries[1][0] = twoDTimeSeries[0][variables - 1];\n System.arraycopy(twoDTimeSeries[0], 0, twoDTimeSeries[1], 1, variables - 1);\n\n// Create a TE calculator and run it:\n TransferEntropyCalculatorDiscrete teCalc=\n new TransferEntropyCalculatorDiscrete(2, 1);\n teCalc.initialise();\n// Add observations of transfer across one cell to the right (j=1)\n// per time step:\n teCalc.addObservations(twoDTimeSeries, 1);\n\n double result2D = teCalc.computeAverageLocalOfObservations();\n System.out.printf(\"The result should be close to 1 bit here, \" +\n \"since we are executing copy operations of what is effectively \" +\n \"a random bit to each cell here: %.3f bits\\n\", result2D);\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 }","@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 testCalculateProbability() throws IOException, ParseException, MathException {\n System.out.println(\"calculateProbability\");\n OrganizationsRegister ro = info(\"e\", \"f\");\n String id = \"12\";\n String expResult = \"25,25 %\";\n String result = ro.calculateProbability();\n assertEquals(expResult, result);\n }","@Test\n @Tag(\"bm1000\")\n public void testSC205() {\n CuteNetlibCase.doTest(\"SC205.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\\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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 \"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 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 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 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 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 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 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 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 testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\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 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 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 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 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 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_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(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 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 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 \"@Override\\n protected long getTestSolution() {\\n return 100024;\\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 testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", 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 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 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 testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", NumberContext.of(7, 4));\\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(\\\"bm1000\\\")\\n public void testSC50A() {\\n CuteNetlibCase.doTest(\\\"SC50A.SIF\\\", \\\"-64.57507705856449\\\", \\\"0.0\\\", 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 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 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 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(\\\"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 testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", 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(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 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 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(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 public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, NumberContext.of(7, 4));\\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 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 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 \"public double entropyPotential() {\\n \\n return (-1.0);\\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 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 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 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(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\\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 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 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 \"public void test_0020() {\\n int nFactors = 2;\\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\\n\\n assertEquals(instance.nObs(), 18., 1e-15);\\n assertEquals(instance.nVariables(), 6., 1e-15);\\n assertEquals(instance.nFactors(), 2., 1e-15);\\n\\n FAEstimator estimators = instance.getEstimators(400);\\n\\n Vector uniqueness = estimators.psi();\\n assertArrayEquals(\\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\\n uniqueness.toArray(),\\n 2e-2);\\n\\n int dof = estimators.dof();\\n assertEquals(dof, 4);\\n\\n double fitted = estimators.logLikelihood();\\n assertEquals(fitted, 1.803, 1e-3);\\n\\n Matrix loadings = estimators.loadings();\\n assertTrue(AreMatrices.equal(\\n new DenseMatrix(new double[][]{\\n {0.971, 0.228},\\n {0.917, 0.213},\\n {0.429, 0.418},\\n {0.363, 0.355},\\n {0.254, 0.965},\\n {0.205, 0.928}\\n }),\\n loadings,\\n 1e-3));\\n\\n double testStats = estimators.statistics();\\n assertEquals(testStats, 23.14, 1e-2);\\n\\n double pValue = estimators.pValue();\\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\\n\\n// System.out.println(uniqueness.toString());\\n// System.out.println(fitted);\\n// System.out.println(loadings.toString());\\n }\",\n \"@Test\\n public void testRulesetHighlife() {\\n System.out.println(\\\"Highlife: B36/S23\\\");\\n byte[][] highlife = { \\n {0,0,0,0},\\n {0,0,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n }; \\n \\n byte[][] expResult = { \\n {0,0,0,0},\\n {0,1,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n };\\n \\n ng.decodeRuleset(\\\"36\\\", \\\"23\\\");\\n byte[][] result = ng.calcNextGen(highlife);\\n assertArrayEquals(expResult, result);\\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 @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 public void test23() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\\n Object[] objectArray0 = new Object[25];\\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"public static void main(String[] args) {\\n\\n\\n\\n int timeSteps = 2;\\n int variables = 100;\\n RandomGenerator rg = new RandomGenerator();\\n rg.setSeed(System.currentTimeMillis());\\n\\n// Create many columns in a multidimensional array (2 rows by 100 columns),\\n// where the next time step (row 2) copies the value of the column on the left\\n// from the previous time step (row 1):\\n int[][] twoDTimeSeries = new int[timeSteps][];\\n twoDTimeSeries[0] = rg.generateRandomInts(variables, 2); //表示产生服从0-2均匀分布的100个随机数\\n twoDTimeSeries[1] = new int[variables];\\n twoDTimeSeries[1][0] = twoDTimeSeries[0][variables - 1];\\n System.arraycopy(twoDTimeSeries[0], 0, twoDTimeSeries[1], 1, variables - 1);\\n\\n// Create a TE calculator and run it:\\n TransferEntropyCalculatorDiscrete teCalc=\\n new TransferEntropyCalculatorDiscrete(2, 1);\\n teCalc.initialise();\\n// Add observations of transfer across one cell to the right (j=1)\\n// per time step:\\n teCalc.addObservations(twoDTimeSeries, 1);\\n\\n double result2D = teCalc.computeAverageLocalOfObservations();\\n System.out.printf(\\\"The result should be close to 1 bit here, \\\" +\\n \\\"since we are executing copy operations of what is effectively \\\" +\\n \\\"a random bit to each cell here: %.3f bits\\\\n\\\", result2D);\\n\\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 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 testCalculateProbability() throws IOException, ParseException, MathException {\\n System.out.println(\\\"calculateProbability\\\");\\n OrganizationsRegister ro = info(\\\"e\\\", \\\"f\\\");\\n String id = \\\"12\\\";\\n String expResult = \\\"25,25 %\\\";\\n String result = ro.calculateProbability();\\n assertEquals(expResult, result);\\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]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.731225","0.71517956","0.69464004","0.69152474","0.6864693","0.68573684","0.68396336","0.6832984","0.6806807","0.6799906","0.6796874","0.6774524","0.6757184","0.67198086","0.6689242","0.66798055","0.667657","0.6653683","0.6649758","0.6639835","0.66105723","0.6606828","0.65620255","0.6548537","0.6539256","0.65186363","0.64810866","0.64661396","0.6423048","0.64084554","0.6363183","0.6349242","0.6344147","0.63417715","0.6333516","0.63318884","0.6302119","0.6301876","0.6299454","0.6293758","0.62869614","0.62783957","0.6274658","0.62712497","0.6262139","0.6254648","0.6252539","0.62520444","0.62458247","0.6239277","0.6237674","0.6227625","0.62128794","0.6200885","0.6198435","0.61958444","0.61831695","0.61781245","0.61760914","0.6162481","0.61509585","0.614254","0.6139913","0.6134173","0.6099102","0.60945696","0.60645866","0.6057832","0.60505986","0.6049357","0.60332763","0.6032041","0.6010024","0.6005064","0.60034424","0.5996411","0.59960246","0.5995437","0.5991941","0.5990053","0.59877497","0.59699625","0.59609056","0.5957716","0.5950135","0.5941354","0.59382594","0.5938023","0.5924459","0.59032005","0.58951366","0.58895606","0.58857","0.5883765","0.588131","0.5876977","0.5876871","0.58751935","0.58591914","0.5857223","0.58521265"],"string":"[\n \"0.731225\",\n \"0.71517956\",\n \"0.69464004\",\n \"0.69152474\",\n \"0.6864693\",\n \"0.68573684\",\n \"0.68396336\",\n \"0.6832984\",\n \"0.6806807\",\n \"0.6799906\",\n \"0.6796874\",\n \"0.6774524\",\n \"0.6757184\",\n \"0.67198086\",\n \"0.6689242\",\n \"0.66798055\",\n \"0.667657\",\n \"0.6653683\",\n \"0.6649758\",\n \"0.6639835\",\n \"0.66105723\",\n \"0.6606828\",\n \"0.65620255\",\n \"0.6548537\",\n \"0.6539256\",\n \"0.65186363\",\n \"0.64810866\",\n \"0.64661396\",\n \"0.6423048\",\n \"0.64084554\",\n \"0.6363183\",\n \"0.6349242\",\n \"0.6344147\",\n \"0.63417715\",\n \"0.6333516\",\n \"0.63318884\",\n \"0.6302119\",\n \"0.6301876\",\n \"0.6299454\",\n \"0.6293758\",\n \"0.62869614\",\n \"0.62783957\",\n \"0.6274658\",\n \"0.62712497\",\n \"0.6262139\",\n \"0.6254648\",\n \"0.6252539\",\n \"0.62520444\",\n \"0.62458247\",\n \"0.6239277\",\n \"0.6237674\",\n \"0.6227625\",\n \"0.62128794\",\n \"0.6200885\",\n \"0.6198435\",\n \"0.61958444\",\n \"0.61831695\",\n \"0.61781245\",\n \"0.61760914\",\n \"0.6162481\",\n \"0.61509585\",\n \"0.614254\",\n \"0.6139913\",\n \"0.6134173\",\n \"0.6099102\",\n \"0.60945696\",\n \"0.60645866\",\n \"0.6057832\",\n \"0.60505986\",\n \"0.6049357\",\n \"0.60332763\",\n \"0.6032041\",\n \"0.6010024\",\n \"0.6005064\",\n \"0.60034424\",\n \"0.5996411\",\n \"0.59960246\",\n \"0.5995437\",\n \"0.5991941\",\n \"0.5990053\",\n \"0.59877497\",\n \"0.59699625\",\n \"0.59609056\",\n \"0.5957716\",\n \"0.5950135\",\n \"0.5941354\",\n \"0.59382594\",\n \"0.5938023\",\n \"0.5924459\",\n \"0.59032005\",\n \"0.58951366\",\n \"0.58895606\",\n \"0.58857\",\n \"0.5883765\",\n \"0.588131\",\n \"0.5876977\",\n \"0.5876871\",\n \"0.58751935\",\n \"0.58591914\",\n \"0.5857223\",\n \"0.58521265\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119295,"cells":{"query":{"kind":"string","value":"Test case number: 42 /Coverage entropy=1.945910149055313"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test042() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer();\n xPathLexer0.consume((-4759));\n // Undeclared exception!\n try { \n xPathLexer0.nextToken();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\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\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 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 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\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 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 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 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 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 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 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 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 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 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 }","@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 @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 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 @Tag(\"bm1000\")\n public void testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", 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 }","@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 testOSA_07() {\n CuteNetlibCase.doTest(\"OSA-07.SIF\", \"535722.517299352\", \"4332086.205299969\", 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\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 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 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 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 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 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(\"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 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 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 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_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", 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 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 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\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 public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, 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 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 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 @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 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 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 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 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();\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 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 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 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 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 testSC205() {\n CuteNetlibCase.doTest(\"SC205.SIF\", \"-52.202061211707246\", \"0.0\", 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\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 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 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 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 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 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(\"bm1000\")\n public void testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, 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 }","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 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 @Tag(\"unstable\")\n public void testKEN_11() {\n CuteNetlibCase.doTest(\"KEN-11.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 }","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 test25FV47() {\n CuteNetlibCase.doTest(\"25FV47.SIF\", \"5501.845888286646\", 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(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 @Tag(\"unstable\")\n public void testD2Q06C() {\n CuteNetlibCase.doTest(\"D2Q06C.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(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 @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 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(\"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 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 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 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 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 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 @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 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 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 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 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 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 testKEN_18() {\n CuteNetlibCase.doTest(\"KEN-18.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 public void testWOOD1P() {\n CuteNetlibCase.doTest(\"WOOD1P.SIF\", \"1.44290241157344\", \"9.99999999999964\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testCRE_D() {\n CuteNetlibCase.doTest(\"CRE-D.SIF\", \"1234567890\", \"1234567890\", 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\\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 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 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\\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 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 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 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 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 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 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 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 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 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 \"@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 @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 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 @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 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 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 testOSA_07() {\\n CuteNetlibCase.doTest(\\\"OSA-07.SIF\\\", \\\"535722.517299352\\\", \\\"4332086.205299969\\\", 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\\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 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 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 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 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 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(\\\"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 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 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 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_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", 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 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 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\\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 public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, 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 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 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 @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 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 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 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 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();\\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 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 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 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 testSC205() {\\n CuteNetlibCase.doTest(\\\"SC205.SIF\\\", \\\"-52.202061211707246\\\", \\\"0.0\\\", 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\\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 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 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 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 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 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(\\\"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 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 \"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 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 @Tag(\\\"unstable\\\")\\n public void testKEN_11() {\\n CuteNetlibCase.doTest(\\\"KEN-11.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 \"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 test25FV47() {\\n CuteNetlibCase.doTest(\\\"25FV47.SIF\\\", \\\"5501.845888286646\\\", 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(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 @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 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 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 @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 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(\\\"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 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 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 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 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 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 @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 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 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 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 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 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 testKEN_18() {\\n CuteNetlibCase.doTest(\\\"KEN-18.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 public void testWOOD1P() {\\n CuteNetlibCase.doTest(\\\"WOOD1P.SIF\\\", \\\"1.44290241157344\\\", \\\"9.99999999999964\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n @Tag(\\\"unstable\\\")\\n public void testCRE_D() {\\n CuteNetlibCase.doTest(\\\"CRE-D.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7399133","0.7225592","0.69444644","0.69158286","0.688044","0.68718743","0.68718386","0.6846492","0.68218035","0.6805855","0.6760812","0.6754457","0.67395306","0.67328435","0.6727205","0.67242885","0.67094994","0.67041236","0.6698398","0.6674786","0.66682905","0.6654049","0.66446954","0.66322833","0.66284305","0.6621145","0.66030616","0.65530413","0.6550172","0.6516502","0.65104324","0.65101475","0.6508737","0.64892596","0.64773583","0.64620656","0.6462057","0.6460453","0.6457635","0.64571667","0.6449267","0.6438347","0.63980967","0.6393704","0.63864446","0.6379068","0.6368838","0.63678855","0.63673866","0.6367317","0.6367047","0.6351138","0.63454604","0.6341186","0.6335365","0.6334096","0.6333915","0.63283926","0.6315245","0.6304595","0.6304264","0.6303316","0.6297539","0.62957525","0.6294966","0.6289624","0.6284626","0.62805545","0.62783444","0.6273397","0.62707585","0.6267408","0.6259295","0.6247911","0.6245266","0.62445164","0.6240185","0.6238366","0.62367773","0.62335974","0.6229486","0.6229398","0.6224587","0.6209195","0.62085813","0.6203111","0.61913097","0.61891866","0.6184472","0.618079","0.6172574","0.6168645","0.6164174","0.61557233","0.61355287","0.6117358","0.6112002","0.61107457","0.6108923","0.6108251","0.6100564"],"string":"[\n \"0.7399133\",\n \"0.7225592\",\n \"0.69444644\",\n \"0.69158286\",\n \"0.688044\",\n \"0.68718743\",\n \"0.68718386\",\n \"0.6846492\",\n \"0.68218035\",\n \"0.6805855\",\n \"0.6760812\",\n \"0.6754457\",\n \"0.67395306\",\n \"0.67328435\",\n \"0.6727205\",\n \"0.67242885\",\n \"0.67094994\",\n \"0.67041236\",\n \"0.6698398\",\n \"0.6674786\",\n \"0.66682905\",\n \"0.6654049\",\n \"0.66446954\",\n \"0.66322833\",\n \"0.66284305\",\n \"0.6621145\",\n \"0.66030616\",\n \"0.65530413\",\n \"0.6550172\",\n \"0.6516502\",\n \"0.65104324\",\n \"0.65101475\",\n \"0.6508737\",\n \"0.64892596\",\n \"0.64773583\",\n \"0.64620656\",\n \"0.6462057\",\n \"0.6460453\",\n \"0.6457635\",\n \"0.64571667\",\n \"0.6449267\",\n \"0.6438347\",\n \"0.63980967\",\n \"0.6393704\",\n \"0.63864446\",\n \"0.6379068\",\n \"0.6368838\",\n \"0.63678855\",\n \"0.63673866\",\n \"0.6367317\",\n \"0.6367047\",\n \"0.6351138\",\n \"0.63454604\",\n \"0.6341186\",\n \"0.6335365\",\n \"0.6334096\",\n \"0.6333915\",\n \"0.63283926\",\n \"0.6315245\",\n \"0.6304595\",\n \"0.6304264\",\n \"0.6303316\",\n \"0.6297539\",\n \"0.62957525\",\n \"0.6294966\",\n \"0.6289624\",\n \"0.6284626\",\n \"0.62805545\",\n \"0.62783444\",\n \"0.6273397\",\n \"0.62707585\",\n \"0.6267408\",\n \"0.6259295\",\n \"0.6247911\",\n \"0.6245266\",\n \"0.62445164\",\n \"0.6240185\",\n \"0.6238366\",\n \"0.62367773\",\n \"0.62335974\",\n \"0.6229486\",\n \"0.6229398\",\n \"0.6224587\",\n \"0.6209195\",\n \"0.62085813\",\n \"0.6203111\",\n \"0.61913097\",\n \"0.61891866\",\n \"0.6184472\",\n \"0.618079\",\n \"0.6172574\",\n \"0.6168645\",\n \"0.6164174\",\n \"0.61557233\",\n \"0.61355287\",\n \"0.6117358\",\n \"0.6112002\",\n \"0.61107457\",\n \"0.6108923\",\n \"0.6108251\",\n \"0.6100564\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119296,"cells":{"query":{"kind":"string","value":"Test case number: 43 /Coverage entropy=2.0794415416798357"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test043() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"F#VsZ=,K/\");\n xPathLexer0.consume((-3281));\n // Undeclared exception!\n try { \n xPathLexer0.mod();\n fail(\"Expecting exception: StringIndexOutOfBoundsException\");\n \n } catch(StringIndexOutOfBoundsException e) {\n }\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\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(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 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 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 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 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 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 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 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 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\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\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 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 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 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 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 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 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(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 }","@Override\n protected long getTestSolution() {\n return 100024;\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 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 testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\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 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\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 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 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 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 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 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 @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 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(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 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 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 }","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\n @Tag(\"slow\")\n public void testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", NumberContext.of(7, 4));\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 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(\"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 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 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 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(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 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 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 public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, 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 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 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 testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", 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 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 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 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 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 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 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(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 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 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 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 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 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_13() {\n CuteNetlibCase.doTest(\"KEN-13.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(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\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 test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\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 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(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(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\n }","@Test\n public void testRulesetHighlife() {\n System.out.println(\"Highlife: B36/S23\");\n byte[][] highlife = { \n {0,0,0,0},\n {0,0,1,0},\n {0,1,1,0},\n {0,0,0,0},\n }; \n \n byte[][] expResult = { \n {0,0,0,0},\n {0,1,1,0},\n {0,1,1,0},\n {0,0,0,0},\n };\n \n ng.decodeRuleset(\"36\", \"23\");\n byte[][] result = ng.calcNextGen(highlife);\n assertArrayEquals(expResult, result);\n }","@Test\n @Tag(\"slow\")\n public void test25FV47() {\n CuteNetlibCase.doTest(\"25FV47.SIF\", \"5501.845888286646\", 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\\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 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 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 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 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 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 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 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 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 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 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\\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 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 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 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 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 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 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(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 \"@Override\\n protected long getTestSolution() {\\n return 100024;\\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 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 testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\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 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\\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 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 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 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 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 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 @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 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(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 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 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 \"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\\n @Tag(\\\"slow\\\")\\n public void testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", NumberContext.of(7, 4));\\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 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(\\\"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 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 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 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(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 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 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 public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, 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 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 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 testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", 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 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 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 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 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 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 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(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 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 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 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 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 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_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 testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", 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\\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 test23() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\\n Object[] objectArray0 = new Object[25];\\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\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 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(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(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"public void test_0020() {\\n int nFactors = 2;\\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\\n\\n assertEquals(instance.nObs(), 18., 1e-15);\\n assertEquals(instance.nVariables(), 6., 1e-15);\\n assertEquals(instance.nFactors(), 2., 1e-15);\\n\\n FAEstimator estimators = instance.getEstimators(400);\\n\\n Vector uniqueness = estimators.psi();\\n assertArrayEquals(\\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\\n uniqueness.toArray(),\\n 2e-2);\\n\\n int dof = estimators.dof();\\n assertEquals(dof, 4);\\n\\n double fitted = estimators.logLikelihood();\\n assertEquals(fitted, 1.803, 1e-3);\\n\\n Matrix loadings = estimators.loadings();\\n assertTrue(AreMatrices.equal(\\n new DenseMatrix(new double[][]{\\n {0.971, 0.228},\\n {0.917, 0.213},\\n {0.429, 0.418},\\n {0.363, 0.355},\\n {0.254, 0.965},\\n {0.205, 0.928}\\n }),\\n loadings,\\n 1e-3));\\n\\n double testStats = estimators.statistics();\\n assertEquals(testStats, 23.14, 1e-2);\\n\\n double pValue = estimators.pValue();\\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\\n\\n// System.out.println(uniqueness.toString());\\n// System.out.println(fitted);\\n// System.out.println(loadings.toString());\\n }\",\n \"@Test\\n public void testRulesetHighlife() {\\n System.out.println(\\\"Highlife: B36/S23\\\");\\n byte[][] highlife = { \\n {0,0,0,0},\\n {0,0,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n }; \\n \\n byte[][] expResult = { \\n {0,0,0,0},\\n {0,1,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n };\\n \\n ng.decodeRuleset(\\\"36\\\", \\\"23\\\");\\n byte[][] result = ng.calcNextGen(highlife);\\n assertArrayEquals(expResult, result);\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void test25FV47() {\\n CuteNetlibCase.doTest(\\\"25FV47.SIF\\\", \\\"5501.845888286646\\\", null, NumberContext.of(7, 4));\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.72534496","0.71233517","0.6954463","0.69240606","0.6848789","0.6826214","0.68129456","0.68024945","0.6790559","0.67623824","0.6745034","0.67409045","0.67376703","0.67330736","0.6728787","0.6720357","0.6705051","0.6703527","0.6683001","0.66692555","0.6660596","0.66375804","0.6572445","0.65724105","0.65460694","0.65246534","0.6485176","0.64607453","0.6455479","0.64096963","0.6396136","0.63842696","0.63825333","0.6379575","0.6373511","0.6370588","0.63654804","0.6361872","0.63537943","0.6340504","0.63368446","0.63280016","0.63267064","0.6320586","0.6319542","0.63072026","0.6303088","0.63025653","0.6291888","0.62850827","0.62826335","0.6279676","0.62776726","0.6273018","0.62607294","0.6253973","0.6230692","0.62230915","0.62130946","0.62049353","0.61929137","0.6191123","0.61875623","0.61829114","0.6160724","0.6154759","0.6152904","0.61454624","0.61345536","0.6123792","0.6117519","0.6104733","0.60809207","0.60756403","0.6063638","0.6056093","0.60438037","0.60416055","0.60344493","0.6033852","0.6032661","0.603127","0.60296553","0.60270137","0.60238093","0.60113716","0.59953815","0.5989914","0.598487","0.5976169","0.5970181","0.59642285","0.59546226","0.59499186","0.59416425","0.5938867","0.59373444","0.5927159","0.5915741","0.59113663","0.590991"],"string":"[\n \"0.72534496\",\n \"0.71233517\",\n \"0.6954463\",\n \"0.69240606\",\n \"0.6848789\",\n \"0.6826214\",\n \"0.68129456\",\n \"0.68024945\",\n \"0.6790559\",\n \"0.67623824\",\n \"0.6745034\",\n \"0.67409045\",\n \"0.67376703\",\n \"0.67330736\",\n \"0.6728787\",\n \"0.6720357\",\n \"0.6705051\",\n \"0.6703527\",\n \"0.6683001\",\n \"0.66692555\",\n \"0.6660596\",\n \"0.66375804\",\n \"0.6572445\",\n \"0.65724105\",\n \"0.65460694\",\n \"0.65246534\",\n \"0.6485176\",\n \"0.64607453\",\n \"0.6455479\",\n \"0.64096963\",\n \"0.6396136\",\n \"0.63842696\",\n \"0.63825333\",\n \"0.6379575\",\n \"0.6373511\",\n \"0.6370588\",\n \"0.63654804\",\n \"0.6361872\",\n \"0.63537943\",\n \"0.6340504\",\n \"0.63368446\",\n \"0.63280016\",\n \"0.63267064\",\n \"0.6320586\",\n \"0.6319542\",\n \"0.63072026\",\n \"0.6303088\",\n \"0.63025653\",\n \"0.6291888\",\n \"0.62850827\",\n \"0.62826335\",\n \"0.6279676\",\n \"0.62776726\",\n \"0.6273018\",\n \"0.62607294\",\n \"0.6253973\",\n \"0.6230692\",\n \"0.62230915\",\n \"0.62130946\",\n \"0.62049353\",\n \"0.61929137\",\n \"0.6191123\",\n \"0.61875623\",\n \"0.61829114\",\n \"0.6160724\",\n \"0.6154759\",\n \"0.6152904\",\n \"0.61454624\",\n \"0.61345536\",\n \"0.6123792\",\n \"0.6117519\",\n \"0.6104733\",\n \"0.60809207\",\n \"0.60756403\",\n \"0.6063638\",\n \"0.6056093\",\n \"0.60438037\",\n \"0.60416055\",\n \"0.60344493\",\n \"0.6033852\",\n \"0.6032661\",\n \"0.603127\",\n \"0.60296553\",\n \"0.60270137\",\n \"0.60238093\",\n \"0.60113716\",\n \"0.59953815\",\n \"0.5989914\",\n \"0.598487\",\n \"0.5976169\",\n \"0.5970181\",\n \"0.59642285\",\n \"0.59546226\",\n \"0.59499186\",\n \"0.59416425\",\n \"0.5938867\",\n \"0.59373444\",\n \"0.5927159\",\n \"0.5915741\",\n \"0.59113663\",\n \"0.590991\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119297,"cells":{"query":{"kind":"string","value":"Test case number: 44 /Coverage entropy=1.945910149055313"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test044() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer();\n xPathLexer0.consume((-863));\n // Undeclared exception!\n try { \n xPathLexer0.mod();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\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 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\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 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 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 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 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 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 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 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 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 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 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 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 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 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 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\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 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 }","@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 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 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 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 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 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 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 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\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 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 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 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 }","@Override\n protected long getTestSolution() {\n return 100024;\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 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 }","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 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 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\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 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 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 testOSA_14() {\n CuteNetlibCase.doTest(\"OSA-14.SIF\", \"1106462.8447362552\", \"9377699.405100001\", 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 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(\"bm1000\")\n public void testE226() {\n CuteNetlibCase.doTest(\"E226.SIF\", \"-11.638929066370546\", \"111.65096068931459\", 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 }","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 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 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 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 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(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(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 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 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 public void testCZPROB() {\n CuteNetlibCase.doTest(\"CZPROB.SIF\", \"2185196.6988565763\", \"3089066.71321333\", 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 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 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(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\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(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, 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 }","@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 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 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 testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", 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 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 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 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 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 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 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\n public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }","@Test\n public void testRulesetHighlife() {\n System.out.println(\"Highlife: B36/S23\");\n byte[][] highlife = { \n {0,0,0,0},\n {0,0,1,0},\n {0,1,1,0},\n {0,0,0,0},\n }; \n \n byte[][] expResult = { \n {0,0,0,0},\n {0,1,1,0},\n {0,1,1,0},\n {0,0,0,0},\n };\n \n ng.decodeRuleset(\"36\", \"23\");\n byte[][] result = ng.calcNextGen(highlife);\n assertArrayEquals(expResult, result);\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 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 testSCRS8() {\n CuteNetlibCase.doTest(\"SCRS8.SIF\", \"960.0206152764557\", 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(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 @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 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(\"bm1000\")\n public void testDEGEN2() {\n CuteNetlibCase.doTest(\"DEGEN2.SIF\", \"-1435.1779999999999\", \"-1226.12\", NumberContext.of(7, 4));\n }","@Test\n @Tag(\"slow\")\n public void test25FV47() {\n CuteNetlibCase.doTest(\"25FV47.SIF\", \"5501.845888286646\", 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\\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\\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 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 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 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 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 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 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 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 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 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 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 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 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 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 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\\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 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 \"@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 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 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 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 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 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 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 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 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 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 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 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 \"@Override\\n protected long getTestSolution() {\\n return 100024;\\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 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 \"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 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 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\\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 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 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 testOSA_14() {\\n CuteNetlibCase.doTest(\\\"OSA-14.SIF\\\", \\\"1106462.8447362552\\\", \\\"9377699.405100001\\\", 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 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(\\\"bm1000\\\")\\n public void testE226() {\\n CuteNetlibCase.doTest(\\\"E226.SIF\\\", \\\"-11.638929066370546\\\", \\\"111.65096068931459\\\", 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 \"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 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 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 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 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(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(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 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 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 public void testCZPROB() {\\n CuteNetlibCase.doTest(\\\"CZPROB.SIF\\\", \\\"2185196.6988565763\\\", \\\"3089066.71321333\\\", 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 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 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(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\\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(\\\"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 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 testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", 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(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 testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", 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 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 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 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 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 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 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\\n public void test23() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\\n Object[] objectArray0 = new Object[25];\\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"@Test\\n public void testRulesetHighlife() {\\n System.out.println(\\\"Highlife: B36/S23\\\");\\n byte[][] highlife = { \\n {0,0,0,0},\\n {0,0,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n }; \\n \\n byte[][] expResult = { \\n {0,0,0,0},\\n {0,1,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n };\\n \\n ng.decodeRuleset(\\\"36\\\", \\\"23\\\");\\n byte[][] result = ng.calcNextGen(highlife);\\n assertArrayEquals(expResult, result);\\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 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 testSCRS8() {\\n CuteNetlibCase.doTest(\\\"SCRS8.SIF\\\", \\\"960.0206152764557\\\", 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(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 @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 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(\\\"bm1000\\\")\\n public void testDEGEN2() {\\n CuteNetlibCase.doTest(\\\"DEGEN2.SIF\\\", \\\"-1435.1779999999999\\\", \\\"-1226.12\\\", NumberContext.of(7, 4));\\n }\",\n \"@Test\\n @Tag(\\\"slow\\\")\\n public void test25FV47() {\\n CuteNetlibCase.doTest(\\\"25FV47.SIF\\\", \\\"5501.845888286646\\\", null, NumberContext.of(7, 4));\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7211339","0.7154959","0.6869758","0.68577164","0.6822561","0.6808369","0.6760561","0.6751464","0.6751245","0.67357063","0.6724888","0.6713769","0.67073005","0.66990846","0.6684505","0.66792625","0.6675933","0.665164","0.6644639","0.663884","0.6587001","0.6570696","0.6563717","0.6562537","0.6538943","0.6533777","0.6527547","0.6504571","0.6464905","0.6432744","0.6429025","0.6424387","0.6422533","0.642014","0.6387188","0.63823307","0.6381241","0.6374924","0.63705826","0.6360172","0.63600886","0.6349913","0.634173","0.6332514","0.6332103","0.63277596","0.63211405","0.6311176","0.6304841","0.63040465","0.6302519","0.62972164","0.627434","0.6270546","0.62705135","0.6262904","0.6241709","0.621937","0.6216258","0.62074727","0.61909086","0.61902887","0.61863625","0.61760134","0.6159786","0.61433303","0.6140581","0.6114704","0.61103827","0.61062324","0.6094094","0.6088598","0.6084479","0.6068793","0.6058807","0.6054941","0.60502946","0.60406244","0.6033874","0.603252","0.60269034","0.6024319","0.60217357","0.60183436","0.60145855","0.6005076","0.5989389","0.5982922","0.5981688","0.59715307","0.5968213","0.59664875","0.5960368","0.59595025","0.5949951","0.5949532","0.5945667","0.59428096","0.5920397","0.5919996","0.59196264"],"string":"[\n \"0.7211339\",\n \"0.7154959\",\n \"0.6869758\",\n \"0.68577164\",\n \"0.6822561\",\n \"0.6808369\",\n \"0.6760561\",\n \"0.6751464\",\n \"0.6751245\",\n \"0.67357063\",\n \"0.6724888\",\n \"0.6713769\",\n \"0.67073005\",\n \"0.66990846\",\n \"0.6684505\",\n \"0.66792625\",\n \"0.6675933\",\n \"0.665164\",\n \"0.6644639\",\n \"0.663884\",\n \"0.6587001\",\n \"0.6570696\",\n \"0.6563717\",\n \"0.6562537\",\n \"0.6538943\",\n \"0.6533777\",\n \"0.6527547\",\n \"0.6504571\",\n \"0.6464905\",\n \"0.6432744\",\n \"0.6429025\",\n \"0.6424387\",\n \"0.6422533\",\n \"0.642014\",\n \"0.6387188\",\n \"0.63823307\",\n \"0.6381241\",\n \"0.6374924\",\n \"0.63705826\",\n \"0.6360172\",\n \"0.63600886\",\n \"0.6349913\",\n \"0.634173\",\n \"0.6332514\",\n \"0.6332103\",\n \"0.63277596\",\n \"0.63211405\",\n \"0.6311176\",\n \"0.6304841\",\n \"0.63040465\",\n \"0.6302519\",\n \"0.62972164\",\n \"0.627434\",\n \"0.6270546\",\n \"0.62705135\",\n \"0.6262904\",\n \"0.6241709\",\n \"0.621937\",\n \"0.6216258\",\n \"0.62074727\",\n \"0.61909086\",\n \"0.61902887\",\n \"0.61863625\",\n \"0.61760134\",\n \"0.6159786\",\n \"0.61433303\",\n \"0.6140581\",\n \"0.6114704\",\n \"0.61103827\",\n \"0.61062324\",\n \"0.6094094\",\n \"0.6088598\",\n \"0.6084479\",\n \"0.6068793\",\n \"0.6058807\",\n \"0.6054941\",\n \"0.60502946\",\n \"0.60406244\",\n \"0.6033874\",\n \"0.603252\",\n \"0.60269034\",\n \"0.6024319\",\n \"0.60217357\",\n \"0.60183436\",\n \"0.60145855\",\n \"0.6005076\",\n \"0.5989389\",\n \"0.5982922\",\n \"0.5981688\",\n \"0.59715307\",\n \"0.5968213\",\n \"0.59664875\",\n \"0.5960368\",\n \"0.59595025\",\n \"0.5949951\",\n \"0.5949532\",\n \"0.5945667\",\n \"0.59428096\",\n \"0.5920397\",\n \"0.5919996\",\n \"0.59196264\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119298,"cells":{"query":{"kind":"string","value":"Test case number: 45 /Coverage entropy=2.0794415416798357"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test045() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer(\"hN!SM~8ux(wB\");\n xPathLexer0.consume((-1));\n // Undeclared exception!\n try { \n xPathLexer0.literal();\n fail(\"Expecting exception: StringIndexOutOfBoundsException\");\n \n } catch(StringIndexOutOfBoundsException e) {\n }\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\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\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 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 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 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 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 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 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\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\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 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 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 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(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 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 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\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 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 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 }","@Override\n protected long getTestSolution() {\n return 100024;\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 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 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 testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", NumberContext.of(7, 4));\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 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(\"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 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 }","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 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 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 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(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 }","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 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 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 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\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 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\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\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(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 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\n @Tag(\"bm1000\")\n public void testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", 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 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 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 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 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(\"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 testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, 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 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 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 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(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, 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 testCRE_A() {\n CuteNetlibCase.doTest(\"CRE-A.SIF\", \"2.9889732905677114E7\", \"2.9889732905677114E7\", 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 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 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 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 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 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 testOSA_60() {\n CuteNetlibCase.doTest(\"OSA-60.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\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 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 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\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(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(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, 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 }","@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 @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 public void testRulesetHighlife() {\n System.out.println(\"Highlife: B36/S23\");\n byte[][] highlife = { \n {0,0,0,0},\n {0,0,1,0},\n {0,1,1,0},\n {0,0,0,0},\n }; \n \n byte[][] expResult = { \n {0,0,0,0},\n {0,1,1,0},\n {0,1,1,0},\n {0,0,0,0},\n };\n \n ng.decodeRuleset(\"36\", \"23\");\n byte[][] result = ng.calcNextGen(highlife);\n assertArrayEquals(expResult, result);\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(\"unstable\")\n @Tag(\"bm1000\")\n public void testTUFF() {\n CuteNetlibCase.doTest(\"TUFF.SIF\", \"0.29214776509361284\", \"0.8949901867574317\", 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 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\\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 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 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 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 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 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 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\\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\\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 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 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 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(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 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 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\\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 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 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 \"@Override\\n protected long getTestSolution() {\\n return 100024;\\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 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 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 testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", NumberContext.of(7, 4));\\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 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(\\\"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 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 \"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 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 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 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(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 \"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 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 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 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\\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 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\\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\\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(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 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\\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 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 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 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 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 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(\\\"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 testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, 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 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 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 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(\\\"slow\\\")\\n public void testFIT1P() {\\n CuteNetlibCase.doTest(\\\"FIT1P.SIF\\\", \\\"9146.378092420955\\\", null, 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 testCRE_A() {\\n CuteNetlibCase.doTest(\\\"CRE-A.SIF\\\", \\\"2.9889732905677114E7\\\", \\\"2.9889732905677114E7\\\", 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 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 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 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 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 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 testOSA_60() {\\n CuteNetlibCase.doTest(\\\"OSA-60.SIF\\\", \\\"1234567890\\\", \\\"1234567890\\\", NumberContext.of(7, 4));\\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 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 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\\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(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(\\\"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 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 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 @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 public void testRulesetHighlife() {\\n System.out.println(\\\"Highlife: B36/S23\\\");\\n byte[][] highlife = { \\n {0,0,0,0},\\n {0,0,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n }; \\n \\n byte[][] expResult = { \\n {0,0,0,0},\\n {0,1,1,0},\\n {0,1,1,0},\\n {0,0,0,0},\\n };\\n \\n ng.decodeRuleset(\\\"36\\\", \\\"23\\\");\\n byte[][] result = ng.calcNextGen(highlife);\\n assertArrayEquals(expResult, result);\\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(\\\"unstable\\\")\\n @Tag(\\\"bm1000\\\")\\n public void testTUFF() {\\n CuteNetlibCase.doTest(\\\"TUFF.SIF\\\", \\\"0.29214776509361284\\\", \\\"0.8949901867574317\\\", NumberContext.of(7, 4));\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.71960515","0.7073087","0.69002086","0.6824983","0.67850214","0.67645705","0.67444533","0.66752934","0.6662625","0.6656003","0.6640276","0.6611567","0.6608392","0.65993994","0.6599319","0.6565999","0.6560424","0.65592414","0.65531147","0.6543652","0.65379566","0.6532951","0.64775646","0.64536226","0.64373714","0.6392627","0.6375186","0.6370814","0.63596576","0.6356655","0.6333465","0.6327325","0.6321847","0.6312879","0.6303789","0.6291643","0.62879646","0.6286025","0.6280679","0.627576","0.6269894","0.6262967","0.6256759","0.62508124","0.6215921","0.62114924","0.62105304","0.6203793","0.6196727","0.61930245","0.61884576","0.6188404","0.6173943","0.6168856","0.616518","0.61508137","0.61496997","0.6148672","0.61439854","0.6140326","0.613845","0.613027","0.61200047","0.61142033","0.6113767","0.611112","0.61090827","0.6095673","0.60765946","0.60682803","0.6058982","0.60589296","0.6044423","0.6042902","0.6042869","0.6038049","0.60365385","0.60268664","0.60181206","0.6017878","0.60096884","0.6003916","0.6001392","0.6001119","0.6001009","0.5990832","0.59903806","0.5988445","0.5981802","0.59804744","0.5973441","0.59723365","0.5969905","0.5962967","0.5924323","0.5924191","0.5920875","0.5920078","0.5914139","0.59138376","0.5910073"],"string":"[\n \"0.71960515\",\n \"0.7073087\",\n \"0.69002086\",\n \"0.6824983\",\n \"0.67850214\",\n \"0.67645705\",\n \"0.67444533\",\n \"0.66752934\",\n \"0.6662625\",\n \"0.6656003\",\n \"0.6640276\",\n \"0.6611567\",\n \"0.6608392\",\n \"0.65993994\",\n \"0.6599319\",\n \"0.6565999\",\n \"0.6560424\",\n \"0.65592414\",\n \"0.65531147\",\n \"0.6543652\",\n \"0.65379566\",\n \"0.6532951\",\n \"0.64775646\",\n \"0.64536226\",\n \"0.64373714\",\n \"0.6392627\",\n \"0.6375186\",\n \"0.6370814\",\n \"0.63596576\",\n \"0.6356655\",\n \"0.6333465\",\n \"0.6327325\",\n \"0.6321847\",\n \"0.6312879\",\n \"0.6303789\",\n \"0.6291643\",\n \"0.62879646\",\n \"0.6286025\",\n \"0.6280679\",\n \"0.627576\",\n \"0.6269894\",\n \"0.6262967\",\n \"0.6256759\",\n \"0.62508124\",\n \"0.6215921\",\n \"0.62114924\",\n \"0.62105304\",\n \"0.6203793\",\n \"0.6196727\",\n \"0.61930245\",\n \"0.61884576\",\n \"0.6188404\",\n \"0.6173943\",\n \"0.6168856\",\n \"0.616518\",\n \"0.61508137\",\n \"0.61496997\",\n \"0.6148672\",\n \"0.61439854\",\n \"0.6140326\",\n \"0.613845\",\n \"0.613027\",\n \"0.61200047\",\n \"0.61142033\",\n \"0.6113767\",\n \"0.611112\",\n \"0.61090827\",\n \"0.6095673\",\n \"0.60765946\",\n \"0.60682803\",\n \"0.6058982\",\n \"0.60589296\",\n \"0.6044423\",\n \"0.6042902\",\n \"0.6042869\",\n \"0.6038049\",\n \"0.60365385\",\n \"0.60268664\",\n \"0.60181206\",\n \"0.6017878\",\n \"0.60096884\",\n \"0.6003916\",\n \"0.6001392\",\n \"0.6001119\",\n \"0.6001009\",\n \"0.5990832\",\n \"0.59903806\",\n \"0.5988445\",\n \"0.5981802\",\n \"0.59804744\",\n \"0.5973441\",\n \"0.59723365\",\n \"0.5969905\",\n \"0.5962967\",\n \"0.5924323\",\n \"0.5924191\",\n \"0.5920875\",\n \"0.5920078\",\n \"0.5914139\",\n \"0.59138376\",\n \"0.5910073\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":119299,"cells":{"query":{"kind":"string","value":"Test case number: 46 /Coverage entropy=1.945910149055313"},"document":{"kind":"string","value":"@Test(timeout = 4000)\n public void test046() throws Throwable {\n XPathLexer xPathLexer0 = new XPathLexer();\n xPathLexer0.consume((-2568));\n // Undeclared exception!\n try { \n xPathLexer0.literal();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\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\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(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 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(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 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(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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 }","@Override\n protected long getTestSolution() {\n return 100024;\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 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 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 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 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 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\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 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 }","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 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 public void testFIT1D() {\n CuteNetlibCase.doTest(\"FIT1D.SIF\", \"-9146.378092421019\", \"80453.99999999999\", 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 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 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 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 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 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 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(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 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 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 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 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 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 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\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 @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 testKEN_07() {\n CuteNetlibCase.doTest(\"KEN-07.SIF\", \"-6.795204433816869E8\", \"-1.61949281194431E8\", 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 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 }","@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 testSCORPION() {\n CuteNetlibCase.doTest(\"SCORPION.SIF\", \"1878.1248227381068\", 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 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 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 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 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(\"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 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 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(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 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(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 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 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 testSCAGR25() {\n CuteNetlibCase.doTest(\"SCAGR25.SIF\", \"-1.475343306076852E7\", null, 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\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 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 }","public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\n }","@Test\n public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\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 @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 @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(\"bm1000\")\n public void testSCAGR7() {\n CuteNetlibCase.doTest(\"SCAGR7.SIF\", \"-2331389.8243309837\", null, NumberContext.of(7, 4));\n }","@Test\n public void testCalculateProbability() throws IOException, ParseException, MathException {\n System.out.println(\"calculateProbability\");\n OrganizationsRegister ro = info(\"e\", \"f\");\n String id = \"12\";\n String expResult = \"25,25 %\";\n String result = ro.calculateProbability();\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\\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 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 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(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 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(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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 \"@Override\\n protected long getTestSolution() {\\n return 100024;\\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 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(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 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(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\\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 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 \"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 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 public void testFIT1D() {\\n CuteNetlibCase.doTest(\\\"FIT1D.SIF\\\", \\\"-9146.378092421019\\\", \\\"80453.99999999999\\\", 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 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 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 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 \"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 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(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 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 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 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 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 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 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\\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 @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 testKEN_07() {\\n CuteNetlibCase.doTest(\\\"KEN-07.SIF\\\", \\\"-6.795204433816869E8\\\", \\\"-1.61949281194431E8\\\", 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 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 \"@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 testSCORPION() {\\n CuteNetlibCase.doTest(\\\"SCORPION.SIF\\\", \\\"1878.1248227381068\\\", 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 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 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 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 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(\\\"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 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 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(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 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(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 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 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 testSCAGR25() {\\n CuteNetlibCase.doTest(\\\"SCAGR25.SIF\\\", \\\"-1.475343306076852E7\\\", null, 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\\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 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 \"public void test_0020() {\\n int nFactors = 2;\\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\\n\\n assertEquals(instance.nObs(), 18., 1e-15);\\n assertEquals(instance.nVariables(), 6., 1e-15);\\n assertEquals(instance.nFactors(), 2., 1e-15);\\n\\n FAEstimator estimators = instance.getEstimators(400);\\n\\n Vector uniqueness = estimators.psi();\\n assertArrayEquals(\\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\\n uniqueness.toArray(),\\n 2e-2);\\n\\n int dof = estimators.dof();\\n assertEquals(dof, 4);\\n\\n double fitted = estimators.logLikelihood();\\n assertEquals(fitted, 1.803, 1e-3);\\n\\n Matrix loadings = estimators.loadings();\\n assertTrue(AreMatrices.equal(\\n new DenseMatrix(new double[][]{\\n {0.971, 0.228},\\n {0.917, 0.213},\\n {0.429, 0.418},\\n {0.363, 0.355},\\n {0.254, 0.965},\\n {0.205, 0.928}\\n }),\\n loadings,\\n 1e-3));\\n\\n double testStats = estimators.statistics();\\n assertEquals(testStats, 23.14, 1e-2);\\n\\n double pValue = estimators.pValue();\\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\\n\\n// System.out.println(uniqueness.toString());\\n// System.out.println(fitted);\\n// System.out.println(loadings.toString());\\n }\",\n \"@Test\\n public void test23() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\\n Object[] objectArray0 = new Object[25];\\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\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 @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 @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(\\\"bm1000\\\")\\n public void testSCAGR7() {\\n CuteNetlibCase.doTest(\\\"SCAGR7.SIF\\\", \\\"-2331389.8243309837\\\", null, NumberContext.of(7, 4));\\n }\",\n \"@Test\\n public void testCalculateProbability() throws IOException, ParseException, MathException {\\n System.out.println(\\\"calculateProbability\\\");\\n OrganizationsRegister ro = info(\\\"e\\\", \\\"f\\\");\\n String id = \\\"12\\\";\\n String expResult = \\\"25,25 %\\\";\\n String result = ro.calculateProbability();\\n assertEquals(expResult, result);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7304202","0.7160091","0.6989217","0.6935542","0.68930715","0.6864995","0.6826209","0.68048656","0.680415","0.68000865","0.67791665","0.6770209","0.6759161","0.6756402","0.6734161","0.6726059","0.6717321","0.67112577","0.66991615","0.6676969","0.6651634","0.66504884","0.6641807","0.66345745","0.65890205","0.65575397","0.65418106","0.6539721","0.64935464","0.64796674","0.6471924","0.64523315","0.6429401","0.64143676","0.63839436","0.63808256","0.6376623","0.6370631","0.6366603","0.63634604","0.6361687","0.6358035","0.63466674","0.6321177","0.6319997","0.631954","0.63177913","0.6314684","0.6305954","0.62966824","0.62881553","0.628564","0.62830114","0.62735265","0.6271941","0.62675935","0.6263389","0.6247809","0.62469953","0.6242316","0.6239113","0.62320316","0.6221071","0.6219","0.6196638","0.61887515","0.6162084","0.6155164","0.6130099","0.6107729","0.6096288","0.60951","0.6090707","0.6061309","0.60593253","0.60580087","0.60575086","0.60562545","0.60558486","0.60519177","0.60367423","0.6032817","0.6032786","0.6020043","0.60155964","0.60090756","0.60058177","0.59928936","0.5988813","0.5973776","0.59608114","0.59426343","0.59422857","0.59383833","0.59355","0.59266967","0.5915654","0.59155816","0.59145796","0.59113556","0.5910305"],"string":"[\n \"0.7304202\",\n \"0.7160091\",\n \"0.6989217\",\n \"0.6935542\",\n \"0.68930715\",\n \"0.6864995\",\n \"0.6826209\",\n \"0.68048656\",\n \"0.680415\",\n \"0.68000865\",\n \"0.67791665\",\n \"0.6770209\",\n \"0.6759161\",\n \"0.6756402\",\n \"0.6734161\",\n \"0.6726059\",\n \"0.6717321\",\n \"0.67112577\",\n \"0.66991615\",\n \"0.6676969\",\n \"0.6651634\",\n \"0.66504884\",\n \"0.6641807\",\n \"0.66345745\",\n \"0.65890205\",\n \"0.65575397\",\n \"0.65418106\",\n \"0.6539721\",\n \"0.64935464\",\n \"0.64796674\",\n \"0.6471924\",\n \"0.64523315\",\n \"0.6429401\",\n \"0.64143676\",\n \"0.63839436\",\n \"0.63808256\",\n \"0.6376623\",\n \"0.6370631\",\n \"0.6366603\",\n \"0.63634604\",\n \"0.6361687\",\n \"0.6358035\",\n \"0.63466674\",\n \"0.6321177\",\n \"0.6319997\",\n \"0.631954\",\n \"0.63177913\",\n \"0.6314684\",\n \"0.6305954\",\n \"0.62966824\",\n \"0.62881553\",\n \"0.628564\",\n \"0.62830114\",\n \"0.62735265\",\n \"0.6271941\",\n \"0.62675935\",\n \"0.6263389\",\n \"0.6247809\",\n \"0.62469953\",\n \"0.6242316\",\n \"0.6239113\",\n \"0.62320316\",\n \"0.6221071\",\n \"0.6219\",\n \"0.6196638\",\n \"0.61887515\",\n \"0.6162084\",\n \"0.6155164\",\n \"0.6130099\",\n \"0.6107729\",\n \"0.6096288\",\n \"0.60951\",\n \"0.6090707\",\n \"0.6061309\",\n \"0.60593253\",\n \"0.60580087\",\n \"0.60575086\",\n \"0.60562545\",\n \"0.60558486\",\n \"0.60519177\",\n \"0.60367423\",\n \"0.6032817\",\n \"0.6032786\",\n \"0.6020043\",\n \"0.60155964\",\n \"0.60090756\",\n \"0.60058177\",\n \"0.59928936\",\n \"0.5988813\",\n \"0.5973776\",\n \"0.59608114\",\n \"0.59426343\",\n \"0.59422857\",\n \"0.59383833\",\n \"0.59355\",\n \"0.59266967\",\n \"0.5915654\",\n \"0.59155816\",\n \"0.59145796\",\n \"0.59113556\",\n \"0.5910305\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":1192,"numItemsPerPage":100,"numTotalItems":136513,"offset":119200,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6IjVHZDBvd0g5MTM2eDZjc1FvbE1zcktNWUZoRVFoUm5PVVVybEpjOUhaUEEifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc4NjU4MjA2NiwianRpIjoiOWY2MTE2YjAtYzQzMC00YmY5LWI4OWEtYmIzZjNjYzE3ODc0Iiwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1qYXZhLXYxIiwiZXhwIjoxNzg2NTg1NjY2LCJpc3MiOiJodHRwczovL2h1Z2dpbmdmYWNlLmNvIn0.EFS3P0fkblb1OivCpFhJmCRh4mJj_6ENGYr6YjeokeK2ruxykQmXErkE_7ZhuMjDcRHSnUF_zs9CCJYK0PO-Aw","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 |
|---|---|---|---|---|---|---|
/ /Symbol output visitor / | private void outputSymbol(RebaseFile rf,RebaseJavaSymbol rs,IvyXmlWriter xw)
{
rs.outputNameData(rf,xw);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"String symbol();",
"Character symbolStackWrite();",
"@Override\n public String visit(Label n) {\n // 注意进入这里的只会有开头的标识 Label\n // 屏蔽 Procedure/CJUMP/JUMP/SimpleExp\n String _ret = null;\n Global.outputString += n.f0.tokenImage + \":\";\n return _ret;\n }",
"public abstr... | [
"0.68102914",
"0.67927533",
"0.67514706",
"0.66608644",
"0.66408557",
"0.64843106",
"0.6482354",
"0.6422899",
"0.6404931",
"0.6359241",
"0.62970406",
"0.62883687",
"0.6274971",
"0.62656707",
"0.62324435",
"0.62296206",
"0.62233156",
"0.6213019",
"0.6195711",
"0.617837",
"0.61... | 0.6616246 | 5 |
/ /Handle outputing container for locations / | @Override public void outputContainer(RebaseFile rf,int soff,int eoff,IvyXmlWriter xw)
{
resolve();
RebaseJavaSymbol sym = null;
for (RebaseJavaFile jf : file_nodes) {
if (jf.getFile() != rf) continue;
sym = getContainer(jf.getAstNode(),soff,eoff);
break;
}
if (sym == null) return;
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void getAllContainers() {\n AID ams = getAMS();\n QueryPlatformLocationsAction queryPlatformLocationsAction = new QueryPlatformLocationsAction();\n sendRequest(new Action(ams, queryPlatformLocationsAction));\n MessageTemplate mt = MessageTemplate.and(\n MessageTem... | [
"0.59594065",
"0.5714551",
"0.5351065",
"0.5319289",
"0.5300604",
"0.5287713",
"0.5286283",
"0.52485377",
"0.5191154",
"0.50331205",
"0.5030967",
"0.5006518",
"0.49884096",
"0.49617374",
"0.49559698",
"0.49287876",
"0.49170426",
"0.49168617",
"0.4914674",
"0.49048764",
"0.490... | 0.46704462 | 42 |
In this test, we set five test to test 1. valid transactions to show basic functions 2.Test doublespent 3.invalid output number(wrong number of coins to transfer) 4.invalid signature 5.Test the input not exist in the UtxoPool In this part, I use the function "assertTrue", and if there is not error showed, it means that... | @Test
public void TxHandlerTestFirst() throws NoSuchAlgorithmException, SignatureException, InvalidKeyException {
// generate key pairs, simulate initial tx from scrooge to alice
System.out.println("-----------------------------------------------------------------");
System.out.println("Test... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void TxHandlerTestThird() throws NoSuchAlgorithmException, SignatureException, InvalidKeyException {\n // generate key pairs, simulate initial tx from scrooge to alice\n System.out.println(\"-----------------------------------------------------------------\");\n System.out.pr... | [
"0.7702963",
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"0.69788957",
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"0.6733663",
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"0.63464904",
"0.63406897",
"0.6333181",
"0.6325471",
"0.6310789",
"0.630... | 0.73067224 | 3 |
test case 2: Test doublespent tx0: Scrooge > Scrooge 25coins [Create Coins] tx1: Scrooge > Alice 20coins [Pay Coins] tx2: Scrooge > Bob 20coins [Doublespending] | @Test
public void TxHandlerTestSecond() throws NoSuchAlgorithmException, SignatureException, InvalidKeyException {
// generate key pairs, simulate initial tx from scrooge to alice
System.out.println("-----------------------------------------------------------------");
System.out.println("Tes... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void testNoDoubleSpending() {\n\n // Creates 100 coins to Alice\n Transaction createCoinTx = new Transaction();\n createCoinTx.addOutput(100, kpAlice.getPublic());\n createCoinTx.finalize();\n // Output of createCoinTx is put in UTXO pool\n UTXOPool utxoP... | [
"0.7574216",
"0.6741781",
"0.66607285",
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"0.6562323",
"0.62420404",
"0.61481655",
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"0.61196566",
"0.61055547",
"0.60097104",
"0.59729046",
"0.5955936",
"0.59395343",
"0.5910849",
"0.58859533",
"0.58730686",
"0.5867612",
"0.5863038",
"0.58448356",
"0.5... | 0.73054713 | 1 |
test case 3: invalid output number(wrong number of coins to transfer) tx0: Scrooge > Scrooge 25coins [Create Coins] tx1: Scrooge > Alice 20coins [Pay Coins] tx2: Alice > Bob 5coins [Invalid output number] tx3: Alice > Bob 90coins [Invalid output number] | @Test
public void TxHandlerTestThird() throws NoSuchAlgorithmException, SignatureException, InvalidKeyException {
// generate key pairs, simulate initial tx from scrooge to alice
System.out.println("-----------------------------------------------------------------");
System.out.println("Test... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void testValidOutputValues() {\n\n // Creates 100 coins to Alice\n Transaction createCoinTx = new Transaction();\n createCoinTx.addOutput(100, kpAlice.getPublic());\n createCoinTx.finalize();\n // Output of createCoinTx is put in UTXO pool\n UTXOPool utxo... | [
"0.7064645",
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"0.6111359",
"0.6110384",
"0.6088166",
"0.6072749",
"0.60695267",
"0.6058255",
"0.60363... | 0.7596753 | 0 |
test case 4: invalid signature signature is not valid tx0: Scrooge > Scrooge 25coins [Create Coins] tx1: Scrooge > Alice 20coins [Pay Coins] tx2: Alice > Bob 20coins [Signed by Bob] | @Test
public void TxHandlerTestForth() throws NoSuchAlgorithmException, SignatureException, InvalidKeyException {
// generate key pairs, simulate initial tx from scrooge to alice
System.out.println("-----------------------------------------------------------------");
System.out.println("Test... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void testValidSig() {\n\n // Creates 100 coins to Alice\n Transaction createCoinTx = new Transaction();\n createCoinTx.addOutput(100, kpAlice.getPublic());\n createCoinTx.finalize();\n // Output of createCoinTx is put in UTXO pool\n UTXOPool utxoPool = ne... | [
"0.8214013",
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"0.6248677",
"0.6204799",
"0.61746883",
"0.61279976",
"0.609465",
"0.6044858",
"0.602179... | 0.75743836 | 2 |
test case 5: Test the input not exist in the UtxoPool tx0: Scrooge > Scrooge 25coins [Create Coins] tx1: Scrooge > Alice 20coins [Pay Coins NOT added to UTXO pool due to accidents] tx2: Alice > Bob 15coins [Pay Coins Previous Tx NOT in UTXO pool] | @Test
public void TxHandlerTestFifth() throws NoSuchAlgorithmException, SignatureException, InvalidKeyException {
// generate key pairs, simulate initial tx from scrooge to alice
System.out.println("-----------------------------------------------------------------");
System.out.println("Test... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void TxHandlerTestThird() throws NoSuchAlgorithmException, SignatureException, InvalidKeyException {\n // generate key pairs, simulate initial tx from scrooge to alice\n System.out.println(\"-----------------------------------------------------------------\");\n System.out.pr... | [
"0.72274995",
"0.71212155",
"0.667702",
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"0.6514525",
"0.64363116",
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"0.6392885",
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"0.5477984",
"0.5476718",
"0.54681015",
"0.544454",
"0.54280865",
"0.542347... | 0.7573722 | 0 |
Initialize our new UI component | @Override
protected void init(VaadinRequest request) {
final ClosableAccordion component = new ClosableAccordion() {
{
setSizeUndefined();
setWidth("100%");
for (numTab = 1; numTab < 4; numTab++) {
Tab tab = addTab(new Vertical... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public UI() {\n initComponents();\n }",
"private void initUI() {\n }",
"public void init()\n {\n buildUI(getContentPane());\n }",
"protected void initialize()\n {\n uiFactory.configureUIComponent(this, UI_PREFIX);\n\n initializeFields();\n initializeLabels();... | [
"0.8051734",
"0.80307454",
"0.79322994",
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"0.776069",
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"0.7442558",
"0.7436078",
"0.74053717",
"0.7397952",
"0.7389507... | 0.0 | -1 |
Constructor for the FormPoule object | public FormJoueur(Competition competition)
{
super("Liste des joueurs de la compétition", true, true);
//setClosable(false);
this.competition = competition;
competition.addObserver(this);
JoueursTableModel modelJoueur = new JoueursTableModel();
sorter = new TableSorter(modelJoueur);
tableJoueurs = ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public FormFieldsReport() {}",
"public Formulario() {\n initComponents();\n }",
"public Form(){\n\t\ttypeOfLicenseApp = new TypeOfLicencsApplication();\n\t\toccupationalTrainingList = new ArrayList<OccupationalTraining>();\n\t\taffiadavit = new Affidavit();\n\t\tapplicationForReciprocity = new Applic... | [
"0.7326562",
"0.71555567",
"0.71442914",
"0.7132011",
"0.7062115",
"0.70453507",
"0.70449924",
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"0.68815947",
"0.6881579",
"0.688107",
"0.6843893",
"0.68191284",
"0.6803832... | 0.0 | -1 |
Description of the Method | public void selectDefaultValue()
{
cbCategorie.setSelectedIndex(1);
cbCltOld.setSelectedIndex(0);
cbClub.setSelectedIndex(0);
rbLincencie.setSelected(true);
rbMasculin.setSelected(true);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}",
"@Override\n public void function()\n {\n }",
"@Override\n public void function()\n {\n }",
"@Override\n\tpublic int method() {\n\t\treturn 0;\n\t}",
"public void method(){}",
"@Overri... | [
"0.7217758",
"0.68454057",
"0.68454057",
"0.6830933",
"0.67493093",
"0.6695145",
"0.6556487",
"0.65147936",
"0.64617175",
"0.644865",
"0.6421961",
"0.6410508",
"0.6398772",
"0.63464755",
"0.63173974",
"0.63173974",
"0.628983",
"0.6287181",
"0.6277629",
"0.62759244",
"0.626927... | 0.0 | -1 |
Description of the Method | public void ajouterJoueur(ActionEvent e)
{
tableJoueurs.scrollRectToVisible(tableJoueurs.getCellRect(tableJoueurs.getRowCount()-1,1,true));
Joueur j = getJoueur();
if (j == null)
{
// afficher un message d'erreur
return;
}
boolean ajout = ((JoueursTableModel)sorter.getTableModel()).addJoueur(j);
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}",
"@Override\n public void function()\n {\n }",
"@Override\n public void function()\n {\n }",
"@Override\n\tpublic int method() {\n\t\treturn 0;\n\t}",
"public void method(){}",
"@Overri... | [
"0.7217758",
"0.68454057",
"0.68454057",
"0.6830933",
"0.67493093",
"0.6695145",
"0.6556487",
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"0.64617175",
"0.644865",
"0.6421961",
"0.6410508",
"0.6398772",
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"0.63173974",
"0.63173974",
"0.628983",
"0.6287181",
"0.6277629",
"0.62759244",
"0.626927... | 0.0 | -1 |
Description of the Method | public void effacerSaisie()
{
tfCltNew.setText("");
tfNumero.setText("");
tfNom.setText("");
tfPrenom.setText("");
selectDefaultValue();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}",
"@Override\n public void function()\n {\n }",
"@Override\n public void function()\n {\n }",
"@Override\n\tpublic int method() {\n\t\treturn 0;\n\t}",
"public void method(){}",
"@Overri... | [
"0.7217758",
"0.68454057",
"0.68454057",
"0.6830933",
"0.67493093",
"0.6695145",
"0.6556487",
"0.65147936",
"0.64617175",
"0.644865",
"0.6421961",
"0.6410508",
"0.6398772",
"0.63464755",
"0.63173974",
"0.63173974",
"0.628983",
"0.6287181",
"0.6277629",
"0.62759244",
"0.626927... | 0.0 | -1 |
Description of the Method | public void chargerListe(ActionEvent evt)
{
JFileChooser fileChooser = new JFileChooser();
MyFileFilter filter = new MyFileFilter();
filter.addExtension("xml");
fileChooser.setFileFilter(filter);
fileChooser.setFileSelectionMode(JFileChooser.FILES_ONLY);
int returnVal = fileChooser.showOpenDialog(FormJou... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}",
"@Override\n public void function()\n {\n }",
"@Override\n public void function()\n {\n }",
"@Override\n\tpublic int method() {\n\t\treturn 0;\n\t}",
"public void method(){}",
"@Overri... | [
"0.7217758",
"0.68454057",
"0.68454057",
"0.6830933",
"0.67493093",
"0.6695145",
"0.6556487",
"0.65147936",
"0.64617175",
"0.644865",
"0.6421961",
"0.6410508",
"0.6398772",
"0.63464755",
"0.63173974",
"0.63173974",
"0.628983",
"0.6287181",
"0.6277629",
"0.62759244",
"0.626927... | 0.0 | -1 |
Description of the Method | public void sauverListe(ActionEvent evt)
{
JFileChooser fileChooser = new JFileChooser();
MyFileFilter filter = new MyFileFilter();
filter.addExtension("xml");
fileChooser.setFileFilter(filter);
fileChooser.setFileSelectionMode(JFileChooser.FILES_ONLY);
int returnVal = fileChooser.showOpenDialog(FormJoue... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}",
"@Override\n public void function()\n {\n }",
"@Override\n public void function()\n {\n }",
"@Override\n\tpublic int method() {\n\t\treturn 0;\n\t}",
"public void method(){}",
"@Overri... | [
"0.7217758",
"0.68454057",
"0.68454057",
"0.6830933",
"0.67493093",
"0.6695145",
"0.6556487",
"0.65147936",
"0.64617175",
"0.644865",
"0.6421961",
"0.6410508",
"0.6398772",
"0.63464755",
"0.63173974",
"0.63173974",
"0.628983",
"0.6287181",
"0.6277629",
"0.62759244",
"0.626927... | 0.0 | -1 |
Description of the Method | public void supprimerJoueur(ActionEvent e)
{
int index = tableJoueurs.getSelectedRow();
index = sorter.modelIndex(index);
if (index != -1)
{
((JoueursTableModel)sorter.getTableModel()).removeJoueur(index);
((JoueursTableModel)sorter.getTableModel()).fireTableDataChanged();
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}",
"@Override\n public void function()\n {\n }",
"@Override\n public void function()\n {\n }",
"@Override\n\tpublic int method() {\n\t\treturn 0;\n\t}",
"public void method(){}",
"@Overri... | [
"0.7217758",
"0.68454057",
"0.68454057",
"0.6830933",
"0.67493093",
"0.6695145",
"0.6556487",
"0.65147936",
"0.64617175",
"0.644865",
"0.6421961",
"0.6410508",
"0.6398772",
"0.63464755",
"0.63173974",
"0.63173974",
"0.628983",
"0.6287181",
"0.6277629",
"0.62759244",
"0.626927... | 0.0 | -1 |
Description of the Method | public void clearParticipation(ActionEvent e)
{
ArrayList joueurs = ((JoueursTableModel)sorter.getTableModel()).getJoueurs();
for (Iterator iter = joueurs.iterator(); iter.hasNext();)
{
Joueur j = (Joueur) iter.next();
j.setNbParticipation(0);
}
((Joue... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}",
"@Override\n public void function()\n {\n }",
"@Override\n public void function()\n {\n }",
"@Override\n\tpublic int method() {\n\t\treturn 0;\n\t}",
"public void method(){}",
"@Overri... | [
"0.7217758",
"0.68454057",
"0.68454057",
"0.6830933",
"0.67493093",
"0.6695145",
"0.6556487",
"0.65147936",
"0.64617175",
"0.644865",
"0.6421961",
"0.6410508",
"0.6398772",
"0.63464755",
"0.63173974",
"0.63173974",
"0.628983",
"0.6287181",
"0.6277629",
"0.62759244",
"0.626927... | 0.0 | -1 |
Description of the Method | public void selectionJoueurChanged(ListSelectionEvent e)
{
if(tableJoueurs.getRowCount()<=0) return;
int index = tableJoueurs.getSelectedRow();
if (index == -1)
{
effacerSaisie();
return;
}
index = sorter.modelIndex(index);
Joueur j = ((JoueursTableModel)sorter.getTableModel()).getJou... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}",
"@Override\n public void function()\n {\n }",
"@Override\n public void function()\n {\n }",
"@Override\n\tpublic int method() {\n\t\treturn 0;\n\t}",
"public void method(){}",
"@Overri... | [
"0.7217758",
"0.68454057",
"0.68454057",
"0.6830933",
"0.67493093",
"0.6695145",
"0.6556487",
"0.65147936",
"0.64617175",
"0.644865",
"0.6421961",
"0.6410508",
"0.6398772",
"0.63464755",
"0.63173974",
"0.63173974",
"0.628983",
"0.6287181",
"0.6277629",
"0.62759244",
"0.626927... | 0.0 | -1 |
Constructs a ParamException with the specified detail message. A detail message is a String that describes this particular exception. | public ParamException( String msg ) {
super( msg );
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public ParameterException(String message) {\n\t\tsuper(message);\n\t}",
"public InvalidParameterValueException(String message) {\n super(message);\n }",
"public ParameterException(String message, Exception e) {\n\t\tsuper(message, e);\n\t}",
"public IllegalParameterException(final String message) {... | [
"0.71335393",
"0.67999786",
"0.65879434",
"0.65568686",
"0.62319964",
"0.6031298",
"0.5954662",
"0.5952979",
"0.59056985",
"0.5891376",
"0.58859587",
"0.5844585",
"0.57993263",
"0.57535225",
"0.5735159",
"0.57318807",
"0.5725102",
"0.5641071",
"0.5639179",
"0.56241953",
"0.56... | 0.7513908 | 0 |
Returns a short description of the ParamException. | public String toString() {
return getMessage();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public ParamException( String msg ) {\n\t\tsuper( msg );\n\t}",
"public ParameterException(String message) {\n\t\tsuper(message);\n\t}",
"@Override public String toString(){\n return \"Logic Parameter Exception\";\n }",
"public ParameterException(String message, Exception e) {\n\t\tsuper(message, e);\n\t... | [
"0.763778",
"0.7018743",
"0.67742026",
"0.660596",
"0.66012716",
"0.66012716",
"0.65235525",
"0.65136385",
"0.6504392",
"0.65002066",
"0.6345382",
"0.61296594",
"0.60664725",
"0.5986146",
"0.5975166",
"0.59491116",
"0.58764344",
"0.58764344",
"0.584738",
"0.5765119",
"0.57517... | 0.0 | -1 |
loadDataFromDB Uses data from database to fill in the fields in the layout. | public void loadDataFromDB() {
if(user == null) {
return;
}
decodeImage(user.getProfilePic(), imageView);
usernameTV.setText(user.getUserID());
emailTV.setText(user.getEmail());
followingTV.setText(Integer.toString(user.getFollowingList().size()));
fol... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void loadDataFromDatabase() {\n mSwipeRefreshLayout.setRefreshing(true);\n mPresenter.loadDataFromDatabase();\n }",
"public void loadData() {\n if (this.model != null) {\n\n this.dataLayout.setVisibility(View.VISIBLE);\n this.emptyText.setVisibility(View.GONE... | [
"0.7260102",
"0.6645784",
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"0.6129755",
"0.61131084... | 0.67508364 | 1 |
editProfile Is called when the user presses the edit button. It handles the dialog window that allows the user to change their profile picture and username. | public void editProfile() {
dialog = new Dialog(getContext());
dialog.setContentView(R.layout.edit_profile);
editUsername = dialog.findViewById(R.id.tv_uname);
TextView editEmail = dialog.findViewById(R.id.tv_address);
editImage = dialog.findViewById(R.id.imgUser);
edit... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void editProfile() {\n\n\t\tAccount account = getInputOfUsersAccount();\n\t\tSystem.out.println(account.getUser().toString());\n\n\t\taccount = userBo.handleProfileOption(account);\n\n\t\tif (userDAO.editProfile(account))\n\t\t\tSystem.out.println(\"User edited!\");\n\n\t\telse\n\t\t\tSystem.out.println(\"S... | [
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"0.6560953",
"0.6555704",
"0.6553214",
"0.6494339",
... | 0.7974344 | 1 |
getUsers This is a helper function to loadDataFromDB. It retrieves all the users from the database. | public void getUsers() {
CollectionReference ref = FirebaseFirestore.getInstance().collection("users");
listOfUsers = new ArrayList<>();
ref.get().addOnCompleteListener(new OnCompleteListener<QuerySnapshot>() {
@Override
public void onComplete(@NonNull Task<QuerySnapshot... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public Users getUsers() throws UserException {\n Users users = new Users();\n log.debug(\"getUsers\");\n User user = null;\n ResultSet result;\n Connection conn = null;\n PreparedStatement stm = null;\n try {\n conn = provider.getConnection... | [
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"0.7395238",
"0.73873967",
"0.7383468",
"0.737005... | 0.0 | -1 |
checkUsername This function checks if the username entered already exists | public boolean checkUsername(String username) {
for(int i=0; i<listOfUsers.size(); i++) {
if(listOfUsers.get(i).compareTo(username)==0)
return false;
}
return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private boolean checkUsername() {\n if(getUsername.getText().compareTo(\"\") != 0) { return true; }\n else {\n errorMessage.setText(\"Please enter a username.\");\n return false;\n }\n }",
"boolean isUsernameExist(String username);",
"public Boolean isUsernameExist... | [
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"0.76189315",
"0.7589772",
"0.75490534",
"0.75299907",
"0.74789... | 0.6851654 | 57 |
This is a helper function that takes the ImageView and image as a string and sets the image of the ImageView to the image | public void decodeImage(String completeImageData, ImageView imageView) {
if (completeImageData == null) { return; }
// Incase you're storing into aws or other places where we have extension stored in the starting.
String imageDataBytes = completeImageData.substring(completeImageData.indexOf(","... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void setImage(String image);",
"public void setImage(Context ctx, String image)\n {\n }",
"private void setImage(String image) {\n Bitmap bitmap;\n try {\n byte[] encodeByte = Base64.decode(image, Base64.DEFAULT);\n bitmap = BitmapFactory.decodeByteArray(encode... | [
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"0.66218984",
"0.6621069",
"0.6611708",
"0.6596327",
"0.65847033"... | 0.0 | -1 |
This function is called when an intent is created that has to interact with another API directly. | @Override
public void onActivityResult(int requestCode, int resultCode, Intent data) {
super.onActivityResult(requestCode, resultCode, data);
switch (requestCode) {
case 3: {
if (resultCode == Activity.RESULT_OK && data != null) {
Uri image = data.get... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n protected void onNewIntent(Intent intent) {\n }",
"@Override\n protected void onNewIntent(Intent intent){\n handleIntent(intent);\n }",
"@Override\n public void onNewIntent(Intent intent) {\n }",
"@Override\n public void onNewIntent(Intent intent) {\n se... | [
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"0.6448361",
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"0.64271444",
"0.6360842",
"0.63574046",... | 0.0 | -1 |
requested Experiment index LineChart constructor. (For invocation by subclass constructors, typically implicit.) Creates a line chart of Players' payoffs against each round of game played. LineChart method also defines a title for the chart as well as the frame. Modified sections identified | public LineChart(String frameTitle) {
super(frameTitle); // Display frame title
final JFrame frame = new JFrame(frameTitle);
frame.setDefaultCloseOperation(frame.getDefaultCloseOperation());
JFreeChart lineChart = ChartFactory.createLineChart("Experiment : "+ (expNum+1),
"Tournament", "Cummulative Pay-Off"... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public LineChart() {\n init();\n }",
"private void initChart() {\n Cartesian cartesian = AnyChart.line();\n\n cartesian.animation(true);\n\n cartesian.padding(10d, 20d, 5d, 20d);\n\n cartesian.crosshair().enabled(true);\n cartesian.crosshair()\n .yLabel... | [
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"0.5428137",
"0.53922266",
"0.53768754",
"0.53629506",
"0.5343314... | 0.68832344 | 0 |
createDataset method updates information about the progress of players in a specific experiment by retrieving agents' scores for different tournaments from the Dataset stored HIR | private DefaultCategoryDataset createDataset() {
dataset.clear();
// Query HIM to submit data for bar chart display
HistoricalInfoMgr.getChartDataset(expNum);
return dataset; // add the data point (y-value, variable, x-value)
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void updateDataset(Dataset dataset, User user) {\n // get current state of the report\n Report report = ReportingMechanism.getInstance().getReport();\n // calculate completeness\n float completeness = this.datasetPerformance.getCompletenessPercentage();\n // calculate numb... | [
"0.56398886",
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"0.4899089",
"0.48798686",
"0.486... | 0.46850204 | 45 |
Main method that creates Application frame, centers it on the screen, and makes the chart visible. Main method is known to be the class' application entry point | public static void main(String[] args) {
expNum = Integer.parseInt(args[0]);
LineChart chart = new LineChart(
"Line Graph of Agent Pay-Off vrs Tournament");
/** Title Modified from original code **/
chart.pack(); // resize the window to fit the graph
RefineryUtilities.centerFrameOnScreen(chart); // displ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static void main (String args[]){\n\t\tJFrame application = new JFrame();\r\n\t\tapplication.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);\r\n\r\n\t\tPendulumDemo gui = new PendulumDemo();\r\n\r\n\t\tapplication.setLayout(new GridLayout(1,2));\r\n\t\tapplication.add(gui.scopePanel);\r\n\t\tapplication.add... | [
"0.69493777",
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"0.6326704",
"0.6288356",
"0.6274303",
"0.6273910... | 0.62012446 | 28 |
Define a bitmap with the same size as the view | public static Bitmap getBitmapFromView(View view) {
Bitmap returnedBitmap = Bitmap.createBitmap(view.getWidth(), view.getHeight(), Bitmap.Config.ARGB_8888);
//Bind a canvas to it
Canvas canvas = new Canvas(returnedBitmap);
//Get the view's background
Drawable bgDrawable = view.ge... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"static Bitmap generate(@NonNull View view) {\n int measureSpec = View.MeasureSpec.makeMeasureSpec(0, View.MeasureSpec.UNSPECIFIED);\n view.measure(measureSpec, measureSpec);\n\n int measuredWidth = view.getMeasuredWidth();\n int measuredHeight = view.getMeasuredHeight();... | [
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"0.6018211",
"0.5973584",
"0.5973299",
"0.596183",
"0.593176... | 0.6473999 | 5 |
Serializes an object and saves it to a file | public static boolean exportNotes(ExportModel model, String fileName) {
try {
FileOutputStream fileOutputStream = new FileOutputStream(new File(getBackupDirectory() + "/" + fileName + fileSuffix));
ObjectOutputStream objectOutputStream = new ObjectOutputStream(fileOutputStream);
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void writeToFile(String filename, Object object) {\n try {\n FileOutputStream fileOutputStream = openFileOutput(filename, MODE_PRIVATE);\n ObjectOutputStream objectOutputStream = new ObjectOutputStream(fileOutputStream);\n objectOutputStream.writeObject(object);\n ... | [
"0.77212346",
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"0.70729506",
"0.70715433",
"0.7065625",
"0.70506... | 0.0 | -1 |
Returns all RemoteDocuments to initiate the view's table | @Override
protected DocumentCollection getInitialDocuments() {
return Core.getInstance().getRemoteDocuments();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public FindIterable<Document> getAllDocuments() {\n\t\tMongoDatabase db = mongoClient.getDatabase(MongoActions.props.getDBName());\n\t\tMongoCollection<Document> table = db.getCollection(MongoActions.props.getCollectionName());\n\t\tFindIterable<Document> iterable = table.find();\n\n\t\treturn iterable;\n\t}",
"... | [
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"0.56978506",
"0.5674922",
"0.5642113",
"0.5636626... | 0.6779241 | 0 |
Adds a button to add new remote documents | @Override
protected void afterCreation(final Composite parent) {
unshareButton.setText("Disconnect selection");
addRemoteDocumentButton = new Action() {
@Override
public void run() {
UserActionController uac = Core.getInstance().getUserActionController();
uac.executeAddRemoteDocument(null);
}
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void clickAddButton() {\n\t\tfilePicker.fileManButton(locAddButton);\n\t}",
"public void addButton()\n\t{\n\t\tdriver.findElement(By.xpath(\"//input[@name='Insert']\")).click();\n\t}",
"public void add(PhotonDoc doc);",
"public boolean addReceivedExternalDocument(AddReceivedExternalDocumentsCommand aC... | [
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"0.5633282",
"0.56325763",
"0.5592348",
"0.5586626",
"0.5578109",
"0.556... | 0.6537929 | 0 |
get all cart items for a pooler | @Query(value = "SELECT * FROM cmpe275_cartShare.cart_item WHERE pooler_id = ?1", nativeQuery = true)
List<CartItem> findAllByPoolerId(Long poolerId); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public List<CartItem> getAllcartitem();",
"public synchronized List<ShoppingCartItem> getItems(){\n List<ShoppingCartItem> cart = new ArrayList<ShoppingCartItem>();\n \n for(ShoppingCartItem cartItem : carrito){\n if(cartItem!=null)\n cart.add(cartItem);\n }\... | [
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"0.55503714",
"0.55491805",
"0.5528111",
"0.55229... | 0.7057505 | 0 |
Returns a string representation of this Map object. | public native String toString(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String toString() {\n if (this.size() <= 0) {\n return \"{}\";\n }\n StringBuilder stringBuilder = new StringBuilder(this.mSize * 28);\n stringBuilder.append('{');\n int n2 = 0;\n do {\n if (n2 >= this.mSize) {\n stringBuilder.ap... | [
"0.8386248",
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"0.6744691",
"0.6730438",
"0.6725653",
"0.6713181",
"0.6684307",... | 0.0 | -1 |
Builds a square Map object. | public Map(int size_pixels, double size_meters) {
this.init(size_pixels, size_meters);
// for public accessor
this.size_meters = size_meters;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Map(){\r\n map = new Square[0][0];\r\n }",
"private void createMapOfFirstType() {\n\n this.typeOfMap=1;\n matrixOfSquares[0][0] = createSquare( ColorOfFigure_Square.BLUE, true, 0, 0);\n matrixOfSquares[0][1] = createSquare( ColorOfFigure_Square.BLUE, false, 0, 1);\n ... | [
"0.7138777",
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"0.6195476",
"0.61807054",
"0.61... | 0.6287035 | 14 |
Puts current map values into bytearray, which should of which should be of this.size map_size_pixels ^ 2. | public native void get(byte[] bytes); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"interface WorldmapBuffer2 {\n final static byte[] image2 = {\n -125, 47, -3, 77, 51, 29, -45, -103, -120, 119, 76, -122, -82, -22, -106, 61, 113, 4, -59, 124, -116, 59, 115, -26, -44,\n 56, -115, 34, 106, -124, 98, 83, -115, 70, 9, -67, -116, 99, 92, -127, 8... | [
"0.55913025",
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"0.52108175",
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"0.5193071",
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"0.5037293",
"0.5017532",
"0.50118566",
"0.49800333",
"0.49731198",
"0.497... | 0.0 | -1 |
Updates this map object based on new data. | public void update(Scan scan, Position position, int quality, double hole_width_mm) {
this.update(scan, position.x_mm, position.y_mm, position.theta_degrees, quality, hole_width_mm);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void updateMap(MapData map);",
"private void update() {\n\t\ttheMap.update();\n\t\ttheTrainer.update();\n\t}",
"public void updateData() {}",
"@Override\r\n\tpublic void updateData() {\n\t\t\r\n\t}",
"@Override\r\n public final void update() {\r\n\r\n logger.entering(this.getClass().getName(), \"... | [
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"0.61380386",
"0.6111018",
"0.61049825",
"0.61046904",
"0.6087... | 0.0 | -1 |
Returns the size of this map in meters. | public double sizeMeters() {
return this.size_meters;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int getMapSize() {\n return mapSize;\n }",
"public int GetMapSize() {\n\t\treturn m_mapSize;\n\t}",
"public double dimensionsToMeters() {\n\t\tdouble heightMeters = heightInInches / 39.370;\n\t\tdouble widthMeters = widthInInches / 39.370;\n\n\t\treturn areaInMeters = heightMeters * widthMeters;\n\t... | [
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"0.68004763",
"0.67877036",
"0.6786768",
"0.6757076",
"0.6737117"... | 0.81284297 | 0 |
TODO Autogenerated method stub | public View onCreateView(LayoutInflater inflater, ViewGroup container,
Bundle savedInstanceState) {
View view = inflater.inflate(R.layout.cold_tab, container, false);
TextView textView = (TextView)view.findViewById(R.id.textView1);
s1="The common cold is a viral inf... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
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"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
Inflate the menu; this adds items to the action bar if it is present. | @Override
public boolean onCreateOptionsMenu(Menu menu) {
getMenuInflater().inflate(R.menu.menu_main, menu);
return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n \tMenuInflater inflater = getMenuInflater();\n \tinflater.inflate(R.menu.main_activity_actions, menu);\n \treturn super.onCreateOptionsMenu(menu);\n }",
"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {... | [
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"0.68621665",
"0.6862... | 0.0 | -1 |
Handle action bar item clicks here. The action bar will automatically handle clicks on the Home/Up button, so long as you specify a parent activity in AndroidManifest.xml. | @Override
public boolean onOptionsItemSelected(MenuItem item) {
int id = item.getItemId();
//noinspection SimplifiableIfStatement
if (id == R.id.action_settings) {
return true;
}
return super.onOptionsItemSelected(item);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public boolean onOptionsItemSelected(MenuItem item) { Handle action bar item clicks here. The action bar will\n // automatically handle clicks on the Home/Up button, so long\n // as you specify a parent activity in AndroidManifest.xml.\n\n //\n // HANDLE BACK BUTTON\n ... | [
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"0.7362194",
"0.7355759",
"0.73454577... | 0.0 | -1 |
need to reset the loader too because otherwise it will think the image is still loaded. | public void onRecycled() {
imageLoader.resetLoadState();
UIHelper.recycleImageViewContent(mImageView);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void reset() {\n //mLoader.reset();\n start();\n }",
"@Override\n\tpublic void onLoaderReset(Loader<ContentResponse> loader) {\n\t\t\n\t}",
"@Override\n\tpublic void onLoaderReset(Loader<ContentResponse> loader) {\n\t\t\n\t}",
"@Override\n public void onLoaderReset(Loader<ArrayList... | [
"0.7104945",
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"0.6552963",
"0.6551529",
"0.6529917",
"0.6512223",
... | 0.0 | -1 |
Inflate the view for this view holder | @Override
public ReviewHolder onCreateViewHolder(ViewGroup parent, int viewType) {
LayoutInflater myInflater = LayoutInflater.from(parent.getContext());
View thisItemsView = myInflater.inflate(R.layout.review_list_item_layout, parent, false);
return new ReviewHolder(thisItemsView);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.layout_detail, container, false);\n ButterKnife.bind(this, view);\n return view;\n }",
"public void onFi... | [
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"0.6219632",
"0.62109476",
"0.6209159",
"0.620... | 0.0 | -1 |
to be used in tests (beware: there could be more work items) TODO move to a test class | public static AccessCertificationWorkItemType findWorkItem(AccessCertificationCaseType _case, int stageNumber, int iteration,
String reviewerOid) {
return _case.getWorkItem().stream()
.filter(wi -> wi.getStageNumber() == stageNumber && norm(wi.getIteration()) == iteration
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void getWorksTest() throws Exception {\n\t}",
"@Override\r\n\t\t\tpublic void test() {\n\t\t\t}",
"@Override\n\t\t\tpublic void worked(int work) {\n\t\t\t\t\n\t\t\t}",
"private void test() {\n\n\t}",
"protected abstract void work();",
"@Test\n public void testGenerateWorkItems() {\n\n ... | [
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"0.5392894",
"0.53705686",
"0.53705686",
"0.536708",
"0.5361351... | 0.0 | -1 |
TODO rework signalling problems | public static void checkStageDefinitionConsistency(List<AccessCertificationStageDefinitionType> stages) {
int count = stages.size();
boolean[] numberPresent = new boolean[count];
for (AccessCertificationStageDefinitionType stage : stages) {
int num = stage.getNumber();
if... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected synchronized void sendLifeSign() {\n if (socketLayer.isConnected() && nextLifeSignToSend < System.currentTimeMillis()) {\n int oldTimeOut = 0;\n try {\n oldTimeOut = socketLayer.getSocketToPartner().getSoTimeout();\n socketLayer.getSocketToPartne... | [
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"0.5184656",
"0.5168759",
"0.51605064",
"0.5153652",
"0.51378983",
"0.51... | 0.0 | -1 |
expects that the currentStageNumber is reasonable | public static AccessCertificationStageType findCurrentStage(AccessCertificationCampaignType campaign) {
return findStage(campaign, campaign.getStageNumber());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setStageNumber(Integer stageNumber) {\n this.stageNumber = stageNumber;\n }",
"public Integer getStageNumber() {\n return stageNumber;\n }",
"public void setStage(){\n if(id < 3)\n stage = 1;\n if(id >= 3 && id < 6)\n stage = 2;\n if(id... | [
"0.7222099",
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"0.6066228",
"0.60580647",
"0.5982679",
"0.5969580... | 0.0 | -1 |
active cases = cases that are to be responded to in this stage | @SuppressWarnings("unused") // used e.g. by campaigns report
public static int getActiveCases(List<AccessCertificationCaseType> caseList, int campaignStageNumber, AccessCertificationCampaignStateType state) {
int open = 0;
for (AccessCertificationCaseType aCase : caseList) {
if (... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void updateActiveChallenge() {\n categories.get(indexOfActiveCategory).increaseIndexOfActiveChallenge();\n }",
"public Case[][] getCases()\n {\n\treturn cases;\n }",
"@java.lang.Override\n public int getCasesCount() {\n return cases_.size();\n }",
"public void Unassigned_Cases()\... | [
"0.55755204",
"0.5522592",
"0.55025864",
"0.5472388",
"0.5423448",
"0.5414771",
"0.5381404",
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"0.5269962",
"0.52545565",
"0.52328897",
"0.52276045",
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"0.5146789",
"0.5144613",
"0.5129149",
"0.5125141",
"0.5113023",
"0.50922155",
"0.50815594",
"0.50751... | 0.5420068 | 5 |
what % of cases is fully decided? (i.e. either they have all the decisions or they are reviewcompleted) | public static float getCasesCompletedPercentageAllStagesAllIterations(AccessCertificationCampaignType campaign) {
return getCasesCompletedPercentage(campaign.getCase(), null, null);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"boolean hasDecision();",
"boolean hasDecision();",
"int getConditionalCasesCount();",
"private void evaluationLogic() {\n // setup for logic:\n // if distToClosestEstimate[i][0] is smaller than threshold, we have a Tp\n // if distToClosestEstimate[i][0] is larger than threshold, we have a Fn\n //... | [
"0.6286803",
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"0.5598572",
"0.55502707",
"0.5547878",
"0.55395895",
"0.55351794",
"0.551996... | 0.0 | -1 |
what % of work items is complete? | public static float getWorkItemsCompletedPercentageAllStagesAllIterations(AccessCertificationCampaignType campaign) {
return getWorkItemsCompletedPercentage(campaign.getCase(), null, null);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"int getWorked();",
"public Long getProgressTotalToDo();",
"public String percentCompleteCountQATasks() {\n\t\tint fixed = closedQATasks().count();\n\t\tint total = qaTasks().count();\n\t\t\n return percentCompleteStringFromDouble(((double)fixed/(double)total) * 100);\n\t}",
"public int CompletedCount(... | [
"0.67950624",
"0.6675585",
"0.6577201",
"0.65395606",
"0.65068614",
"0.65048796",
"0.6450609",
"0.6438068",
"0.64202744",
"0.633955",
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"0.61920905",
"0.61920905",
"0.61920905",
"0.61750036",
"0.61236334",
"0.6... | 0.0 | -1 |
TODO use this also from GUI and maybe notifications | @SuppressWarnings("unused") // used by certification cases report
public static List<ObjectReferenceType> getCurrentlyAssignedReviewers(PrismContainerValue<AccessCertificationCaseType> pcv) {
AccessCertificationCaseType aCase = pcv.asContainerable();
List<ObjectReferenceType> rv = new ArrayL... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tprotected void update() {\n\t\t\n\t}",
"@Override\n\tpublic void grabar() {\n\t\t\n\t}",
"private void getStatus() {\n\t\t\n\t}",
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\r\n\t\tprotected void run() {\n\t\t\t\r\n\t\t}",
"@Override\n\tprotected void UpdateUI() {\n... | [
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"0.5508343",
"0.548215",
"0.5468141",
"0.54323375",
"0.54236406",
"... | 0.0 | -1 |
useful e.g. for tests | public static Set<ObjectReferenceType> getCurrentReviewers(AccessCertificationCaseType aCase) {
return aCase.getWorkItem().stream()
// TODO check also with campaign stage?
.filter(wi -> wi.getStageNumber() == aCase.getStageNumber())
.flatMap(wi -> wi.getAssigneeRe... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void test() {\n\n\t}",
"@Override\r\n\t\t\tpublic void test() {\n\t\t\t}",
"private test5() {\r\n\t\r\n\t}",
"public void testGetInsDyn() {\n }",
"@Override\n\tpublic void test() {\n\t\t\n\t}",
"@Test\r\n\tpublic void testSanity() {\n\t}",
"@Override\n public void test() {\n \n ... | [
"0.6501541",
"0.6493234",
"0.6149228",
"0.6022485",
"0.59186536",
"0.58749086",
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"0.56472117",
"0.56382775",
"0.5630829",
"0.56286085",
"0.561934... | 0.0 | -1 |
returns reviewers for nonclosed work items | public static Collection<String> getActiveReviewers(List<AccessCertificationCaseType> caseList) {
Set<String> oids = new HashSet<>();
for (AccessCertificationCaseType aCase : caseList) {
for (AccessCertificationWorkItemType workItem : aCase.getWorkItem()) {
if (workItem.getCloseTimestamp() == nul... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic List<Article> getNotReviewed() {\n\t\treturn articleRepository.findArticleForReviewByProfessions();\n\t}",
"public List<Review> getReviews() {\r\n\t\tList<Review> returnReviews = new ArrayList<Review>();\r\n\t\tfor(int i = 0; i < myManuscripts.size(); i++){\r\n\t\t\tif(myManuscripts.get(i).ge... | [
"0.6359109",
"0.5616822",
"0.53726214",
"0.5351693",
"0.5232541",
"0.5217954",
"0.50683576",
"0.5055004",
"0.500826",
"0.50070506",
"0.50035185",
"0.49990696",
"0.49987492",
"0.4985966",
"0.4952863",
"0.49516615",
"0.4917564",
"0.48882318",
"0.48864558",
"0.4855356",
"0.48547... | 0.0 | -1 |
Criando um estado novo a cada Round | public void playRound(){
this.gameState = GameController.createGameState(this.game);
// Verifica se o
if(this.gameState.isEnded()){
var winner = this.gameState.getPlayerQttCards() == 0 ? this.game.getComputer() : this.game.getPlayer();
this.gameState.setWinner(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void nextRound() {\n\t\n\t\t\n\t\tcfight++;\n\t\tif(cfight>=maxround)\n\t\t{\n\t\tcfight=0;\n\t\t\n\t\tround++;\n\t\t\tmaxround/=2;\n\t\t}\n\t\t\n\tif(round<4)\n\t{\n\tcontrollPCRound();\n\t}\n\telse\n\t{\n\t\tint sp=0;\n\t\tint round=0;\n\t\tfor(int i=0; i<fighter.length; i++)\n\t\t{\n\t\t\tif(spieler[i]>... | [
"0.6655576",
"0.6654811",
"0.6616166",
"0.6524885",
"0.6514016",
"0.6416953",
"0.63590103",
"0.62865806",
"0.6283973",
"0.6272706",
"0.6261599",
"0.6258817",
"0.6231877",
"0.6179295",
"0.61614686",
"0.6157606",
"0.6126253",
"0.6124323",
"0.6072701",
"0.6045696",
"0.6028302",
... | 0.5639378 | 43 |
Test case number: 0 /Coverage entropy=1.9061547465398496 | @Test(timeout = 4000)
public void test000() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("oofT'b.HnXtsd.");
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... | [
"0.7495475",
"0.7449727",
"0.7246917",
"0.717759",
"0.71178615",
"0.71044946",
"0.71007025",
"0.7093131",
"0.70675063",
"0.7062653",
"0.70527583",
"0.7049322",
"0.70423025",
"0.702718",
"0.7026005",
"0.6979596",
"0.6949806",
"0.6920845",
"0.69055116",
"0.69006854",
"0.688753"... | 0.0 | -1 |
Test case number: 1 /Coverage entropy=0.76128838011492 | @Test(timeout = 4000)
public void test001() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("hN!SM~8ux(wB");
xPathLexer0.dollar();
xPathLexer0.not();
xPathLexer0.nextToken();
xPathLexer0.leftParen();
xPathLexer0.whitespace();
xPathLexer0.plus();
Token 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... | [
"0.7190505",
"0.7133066",
"0.68552",
"0.6811804",
"0.67486656",
"0.67465407",
"0.6736609",
"0.673527",
"0.67242944",
"0.6715406",
"0.66835636",
"0.6670008",
"0.6667835",
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"0.6614982",
"0.6609573",
"0.66055036",
"0.6603758",
"0.6596739",
"0.65542924",
"0.6550274",... | 0.0 | -1 |
Test case number: 2 /Coverage entropy=2.1458417525947544 | @Test(timeout = 4000)
public void test002() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("/a");
xPathLexer0.dollar();
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... | [
"0.70436686",
"0.69267863",
"0.67519194",
"0.67395115",
"0.663887",
"0.6632636",
"0.66291225",
"0.65962744",
"0.6549531",
"0.6530381",
"0.6524609",
"0.6522848",
"0.65128523",
"0.6507937",
"0.6499577",
"0.64854425",
"0.6475366",
"0.6440682",
"0.6410353",
"0.63936514",
"0.63706... | 0.0 | -1 |
Test case number: 3 /Coverage entropy=2.1972245773362196 | @Test(timeout = 4000)
public void test003() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("hN!SM~8ux(wB");
xPathLexer0.dollar();
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... | [
"0.7193854",
"0.7044147",
"0.6939154",
"0.68362737",
"0.679616",
"0.67491984",
"0.6739023",
"0.67293197",
"0.6707867",
"0.67045414",
"0.6702537",
"0.66854525",
"0.66774166",
"0.6660796",
"0.66561335",
"0.66324836",
"0.6629012",
"0.6622179",
"0.66141915",
"0.66017205",
"0.6578... | 0.0 | -1 |
Test case number: 4 /Coverage entropy=1.8392967479776605 | @Test(timeout = 4000)
public void test004() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("d>%NV0");
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... | [
"0.7291001",
"0.7194097",
"0.69760793",
"0.69365597",
"0.69271487",
"0.68753576",
"0.6842846",
"0.6797397",
"0.67826617",
"0.67820877",
"0.67637867",
"0.6752587",
"0.67441446",
"0.67381567",
"0.67352855",
"0.6722002",
"0.67164135",
"0.66870683",
"0.66806585",
"0.66569906",
"0... | 0.0 | -1 |
Test case number: 5 /Coverage entropy=1.945910149055313 | @Test(timeout = 4000)
public void test005() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("sw");
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... | [
"0.7179665",
"0.7025265",
"0.70026296",
"0.6856837",
"0.68431187",
"0.68369114",
"0.672278",
"0.6673255",
"0.66580105",
"0.66411144",
"0.66380584",
"0.6611617",
"0.66083884",
"0.65982985",
"0.6562058",
"0.6557331",
"0.65487653",
"0.654848",
"0.65464944",
"0.6504445",
"0.64884... | 0.0 | -1 |
Test case number: 6 /Coverage entropy=2.1972245773362196 | @Test(timeout = 4000)
public void test006() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
xPathLexer0.pipe();
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... | [
"0.7366458",
"0.71867895",
"0.6963806",
"0.69347197",
"0.69160265",
"0.6881044",
"0.685692",
"0.6822152",
"0.6803726",
"0.6785171",
"0.67543644",
"0.6750229",
"0.6741779",
"0.67412716",
"0.6740925",
"0.67247415",
"0.67033315",
"0.67018867",
"0.6689257",
"0.6666602",
"0.661713... | 0.0 | -1 |
Test case number: 7 /Coverage entropy=0.4063317134016294 | @Test(timeout = 4000)
public void test007() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("!9'|l*JR");
Token token0 = xPathLexer0.nextToken();
assertEquals(23, 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... | [
"0.7272478",
"0.71511346",
"0.69727194",
"0.68976384",
"0.6890413",
"0.6861112",
"0.6839739",
"0.6802072",
"0.6797816",
"0.6714282",
"0.67111486",
"0.67059094",
"0.6696335",
"0.6689855",
"0.66764826",
"0.66632533",
"0.6655653",
"0.66552323",
"0.6636349",
"0.6632494",
"0.66317... | 0.0 | -1 |
Test case number: 8 /Coverage entropy=1.6094379124341005 | @Test(timeout = 4000)
public void test008() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("](");
boolean boolean0 = xPathLexer0.hasMoreChars();
assertTrue(boolean0);
} | {
"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... | [
"0.7345718",
"0.72034895",
"0.701449",
"0.68914884",
"0.68828225",
"0.688167",
"0.68639195",
"0.6830959",
"0.6818972",
"0.6805047",
"0.68009984",
"0.678562",
"0.6781423",
"0.6779211",
"0.6775575",
"0.6771418",
"0.67645115",
"0.6742239",
"0.66849613",
"0.6644751",
"0.66364247"... | 0.0 | -1 |
Test case number: 9 /Coverage entropy=1.3862943611198906 | @Test(timeout = 4000)
public void test009() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
boolean boolean0 = xPathLexer0.hasMoreChars();
assertFalse(boolean0);
} | {
"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... | [
"0.7369359",
"0.7235029",
"0.7059559",
"0.68965816",
"0.6865193",
"0.68637544",
"0.6860473",
"0.6855827",
"0.68550664",
"0.6853515",
"0.6836083",
"0.6827736",
"0.68238544",
"0.6806306",
"0.678349",
"0.67814875",
"0.67247593",
"0.6708468",
"0.6683497",
"0.6673438",
"0.6656983"... | 0.0 | -1 |
Test case number: 10 /Coverage entropy=0.6931471805599453 | @Test(timeout = 4000)
public void test010() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
String string0 = xPathLexer0.getXPath();
assertNull(string0);
} | {
"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... | [
"0.7567097",
"0.73450804",
"0.71759754",
"0.70973235",
"0.70782465",
"0.70695484",
"0.70550174",
"0.70333576",
"0.7007244",
"0.7002522",
"0.70021564",
"0.69750047",
"0.6954421",
"0.6895716",
"0.68672574",
"0.6855078",
"0.6852775",
"0.6814908",
"0.6808981",
"0.67933226",
"0.67... | 0.0 | -1 |
Test case number: 11 /Coverage entropy=1.0986122886681096 | @Test(timeout = 4000)
public void test011() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(") (");
String string0 = xPathLexer0.getXPath();
assertEquals(") (", string0);
} | {
"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... | [
"0.72771525",
"0.71816677",
"0.69215304",
"0.68604136",
"0.68266606",
"0.68142945",
"0.67750376",
"0.6753409",
"0.67357767",
"0.6730368",
"0.6719646",
"0.6699645",
"0.6695751",
"0.66806006",
"0.66718006",
"0.6667282",
"0.6653548",
"0.665021",
"0.66354054",
"0.661484",
"0.6586... | 0.0 | -1 |
Test case number: 12 /Coverage entropy=1.0986122886681096 | @Test(timeout = 4000)
public void test012() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("hN!SM~8ux(wB");
Token token0 = xPathLexer0.getPreviousToken();
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... | [
"0.7219727",
"0.7151422",
"0.68738276",
"0.68151736",
"0.6805935",
"0.679361",
"0.6745564",
"0.6736421",
"0.6722296",
"0.6692761",
"0.66863453",
"0.6680693",
"0.66465217",
"0.663203",
"0.6629057",
"0.6604544",
"0.65950006",
"0.6585972",
"0.65812165",
"0.6562149",
"0.6556602",... | 0.0 | -1 |
Test case number: 13 /Coverage entropy=0.4483113032721554 | @Test(timeout = 4000)
public void test013() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(":E<;");
xPathLexer0.nextToken();
Token token0 = xPathLexer0.getPreviousToken();
assertEquals(":", token0.getTokenText());
assertEquals(18, 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... | [
"0.7365745",
"0.7282181",
"0.69134337",
"0.68711495",
"0.68572766",
"0.6832549",
"0.68266994",
"0.6796538",
"0.67940223",
"0.6772752",
"0.6761699",
"0.67588574",
"0.67545956",
"0.67467797",
"0.6742875",
"0.671683",
"0.6702449",
"0.66738117",
"0.66689986",
"0.6663122",
"0.6653... | 0.0 | -1 |
Test case number: 14 /Coverage entropy=0.3955852454859713 | @Test(timeout = 4000)
public void test014() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.nextToken();
Token token0 = xPathLexer0.getPreviousToken();
assertEquals((-1), 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... | [
"0.7392665",
"0.7288997",
"0.69342244",
"0.6891989",
"0.6890051",
"0.6879727",
"0.6875128",
"0.68502665",
"0.6833331",
"0.6832569",
"0.67867416",
"0.6774423",
"0.6772139",
"0.6763994",
"0.67459697",
"0.67421204",
"0.6701148",
"0.66920733",
"0.66870415",
"0.66775763",
"0.66726... | 0.0 | -1 |
Test case number: 15 /Coverage entropy=0.6931471805599453 | @Test(timeout = 4000)
public void test015() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
int int0 = xPathLexer0.endPosition();
assertEquals(0, int0);
} | {
"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... | [
"0.74736",
"0.7227721",
"0.6997325",
"0.6993632",
"0.6974977",
"0.689905",
"0.68887687",
"0.68839854",
"0.6866607",
"0.68602884",
"0.6827302",
"0.6800497",
"0.6798588",
"0.67781746",
"0.6774074",
"0.67499924",
"0.6741185",
"0.67365044",
"0.673157",
"0.6709973",
"0.6691197",
... | 0.0 | -1 |
Test case number: 16 /Coverage entropy=1.0986122886681096 | @Test(timeout = 4000)
public void test016() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
int int0 = xPathLexer0.endPosition();
assertEquals(29, int0);
} | {
"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... | [
"0.72779495",
"0.71257114",
"0.6760693",
"0.67577547",
"0.6723694",
"0.6723019",
"0.6703738",
"0.66929823",
"0.66496587",
"0.6643051",
"0.66171324",
"0.66153353",
"0.6611146",
"0.6610661",
"0.65945804",
"0.65852493",
"0.655812",
"0.65457237",
"0.65437806",
"0.65368676",
"0.65... | 0.0 | -1 |
Test case number: 17 /Coverage entropy=1.0986122886681096 | @Test(timeout = 4000)
public void test017() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("Z&9#+FDLX&o2GJ-");
int int0 = xPathLexer0.currentPosition();
assertEquals(0, int0);
} | {
"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... | [
"0.73416805",
"0.71720827",
"0.69430953",
"0.68585944",
"0.6846626",
"0.6827924",
"0.6813824",
"0.6806762",
"0.6793136",
"0.6774289",
"0.677075",
"0.6753914",
"0.6739338",
"0.673392",
"0.6720932",
"0.67161584",
"0.6704141",
"0.6702898",
"0.67000824",
"0.6699905",
"0.6680459",... | 0.0 | -1 |
Test case number: 18 /Coverage entropy=1.7917594692280547 | @Test(timeout = 4000)
public void test018() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("d>%NV0");
Token token0 = xPathLexer0.leftParen();
assertEquals(1, token0.getTokenType());
assertEquals("d", token0.getTokenText());
int int0 = xPathLexer0.currentPosition();
... | {
"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... | [
"0.74265695",
"0.7248527",
"0.70466036",
"0.696849",
"0.69614786",
"0.694291",
"0.69211626",
"0.6917288",
"0.6905989",
"0.68856555",
"0.6882883",
"0.6873102",
"0.6869092",
"0.68607074",
"0.6826739",
"0.68187624",
"0.6808204",
"0.67998284",
"0.67768645",
"0.67533827",
"0.67467... | 0.0 | -1 |
Test case number: 19 /Coverage entropy=2.022808529414704 | @Test(timeout = 4000)
public void test019() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(">6_XdrPl");
Token token0 = xPathLexer0.relationalOperator();
assertNotNull(token0);
assertEquals(">", token0.getTokenText());
assertEquals(9, token0.getTokenType());
Tok... | {
"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... | [
"0.72733176",
"0.7108433",
"0.69953346",
"0.69338197",
"0.6917817",
"0.68575495",
"0.6830563",
"0.6825206",
"0.6817719",
"0.6807882",
"0.68023866",
"0.67981243",
"0.67598903",
"0.67499393",
"0.6747959",
"0.67065567",
"0.67050815",
"0.668369",
"0.6656159",
"0.6646471",
"0.6602... | 0.0 | -1 |
Test case number: 20 /Coverage entropy=2.031759218569271 | @Test(timeout = 4000)
public void test020() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer(":_]J_/L!uFQ7%)BrL");
Token token0 = xPathLexer0.literal();
assertNull(token0);
char char0 = xPathLexer0.LA((-1));
assertEquals('r', char0);
} | {
"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... | [
"0.7420913",
"0.71905285",
"0.7043537",
"0.70433784",
"0.7010583",
"0.69972515",
"0.69735134",
"0.69720304",
"0.69450593",
"0.68637687",
"0.6835181",
"0.6813785",
"0.6810112",
"0.68086755",
"0.67985153",
"0.67834795",
"0.6766929",
"0.67385125",
"0.6714694",
"0.6714151",
"0.67... | 0.0 | -1 |
Test case number: 21 /Coverage entropy=1.0986122886681096 | @Test(timeout = 4000)
public void test021() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("qORCJu&0jq/h%IyKW");
xPathLexer0.setXPath("");
String string0 = xPathLexer0.getXPath();
assertEquals("", string0);
} | {
"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... | [
"0.73107076",
"0.713318",
"0.700118",
"0.6849362",
"0.68267906",
"0.6826238",
"0.6825278",
"0.6806913",
"0.6804757",
"0.6804198",
"0.6787575",
"0.67792755",
"0.6755621",
"0.6744369",
"0.6742332",
"0.6728058",
"0.6703601",
"0.6702059",
"0.6661634",
"0.6659569",
"0.66309005",
... | 0.0 | -1 |
Test case number: 22 /Coverage entropy=1.0986122886681096 | @Test(timeout = 4000)
public void test022() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("[ (");
xPathLexer0.setPreviousToken((Token) null);
assertEquals("[ (", xPathLexer0.getXPath());
} | {
"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... | [
"0.73020464",
"0.72149575",
"0.69220763",
"0.681606",
"0.68160087",
"0.67781615",
"0.6773558",
"0.6764663",
"0.67372936",
"0.67338",
"0.671426",
"0.6712453",
"0.67084104",
"0.67063254",
"0.67035335",
"0.66827923",
"0.6665277",
"0.66591877",
"0.66589344",
"0.6610869",
"0.66065... | 0.0 | -1 |
Test case number: 23 /Coverage entropy=1.0397207708399179 | @Test(timeout = 4000)
public void test023() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("Z&9#+FDLX&o2GJ-");
boolean boolean0 = xPathLexer0.isIdentifierStartChar(']');
assertFalse(boolean0);
} | {
"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... | [
"0.7329618",
"0.71937203",
"0.69777423",
"0.6875025",
"0.68441397",
"0.6822753",
"0.68149966",
"0.6797749",
"0.6780461",
"0.6778162",
"0.6767427",
"0.6763882",
"0.6743807",
"0.6742609",
"0.6739295",
"0.6734186",
"0.672747",
"0.6723429",
"0.66824013",
"0.6667204",
"0.66086066"... | 0.0 | -1 |
Test case number: 24 /Coverage entropy=1.0397207708399179 | @Test(timeout = 4000)
public void test024() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("zO=t1k%z[");
boolean boolean0 = xPathLexer0.isIdentifierStartChar('1');
assertFalse(boolean0);
} | {
"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... | [
"0.7366296",
"0.72404015",
"0.6976215",
"0.69100535",
"0.69032747",
"0.6899739",
"0.68586326",
"0.68545437",
"0.68408066",
"0.68220156",
"0.6799754",
"0.67997414",
"0.6781595",
"0.67712355",
"0.6764916",
"0.67349494",
"0.67309296",
"0.67036444",
"0.6703621",
"0.6689411",
"0.6... | 0.0 | -1 |
Test case number: 25 /Coverage entropy=1.0397207708399179 | @Test(timeout = 4000)
public void test025() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("d>%NV0");
boolean boolean0 = xPathLexer0.isIdentifierStartChar('A');
assertTrue(boolean0);
} | {
"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... | [
"0.73800486",
"0.7178986",
"0.7048528",
"0.6986841",
"0.68936133",
"0.6875953",
"0.68151855",
"0.6811682",
"0.68116707",
"0.6805172",
"0.6792118",
"0.67911613",
"0.6782121",
"0.6777539",
"0.6745634",
"0.6726797",
"0.66888106",
"0.6686851",
"0.66629595",
"0.6658712",
"0.661903... | 0.0 | -1 |
Test case number: 26 /Coverage entropy=0.5623351446188083 | @Test(timeout = 4000)
public void test026() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
boolean boolean0 = xPathLexer0.isIdentifierChar('}');
assertFalse(boolean0);
} | {
"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... | [
"0.7439069",
"0.7293258",
"0.69797516",
"0.69356835",
"0.68726456",
"0.6856563",
"0.6843898",
"0.68359804",
"0.68322814",
"0.6789753",
"0.6780738",
"0.6775112",
"0.67750806",
"0.674166",
"0.67324877",
"0.67245483",
"0.67029035",
"0.669452",
"0.6681969",
"0.6675998",
"0.666789... | 0.0 | -1 |
Test case number: 27 /Coverage entropy=0.5623351446188083 | @Test(timeout = 4000)
public void test027() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
boolean boolean0 = xPathLexer0.isIdentifierChar('3');
assertTrue(boolean0);
} | {
"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... | [
"0.7460919",
"0.7316496",
"0.7082961",
"0.6994046",
"0.6986558",
"0.6952991",
"0.6930862",
"0.6887539",
"0.6886621",
"0.6868667",
"0.6868491",
"0.6848666",
"0.68454796",
"0.6843338",
"0.6825498",
"0.6815634",
"0.6813469",
"0.6813456",
"0.67932695",
"0.6763586",
"0.6733953",
... | 0.0 | -1 |
Test case number: 28 /Coverage entropy=0.9502705392332347 | @Test(timeout = 4000)
public void test028() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("&b/Xk]");
boolean boolean0 = xPathLexer0.isIdentifierChar('z');
assertTrue(boolean0);
} | {
"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... | [
"0.73673433",
"0.7272251",
"0.70347446",
"0.70181733",
"0.68907124",
"0.6873023",
"0.685634",
"0.68489075",
"0.6847852",
"0.6842984",
"0.6824205",
"0.6797535",
"0.67222875",
"0.67170113",
"0.6698397",
"0.6694695",
"0.6689843",
"0.6682484",
"0.6679808",
"0.6672968",
"0.6665341... | 0.0 | -1 |
Test case number: 29 /Coverage entropy=0.6931471805599453 | @Test(timeout = 4000)
public void test029() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume(0);
assertNull(xPathLexer0.getXPath());
} | {
"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... | [
"0.7423143",
"0.7236803",
"0.7175687",
"0.7025669",
"0.70142347",
"0.69934595",
"0.69794077",
"0.69609755",
"0.69452447",
"0.69408387",
"0.68870276",
"0.6870218",
"0.68625885",
"0.6809592",
"0.6797503",
"0.67761177",
"0.6774072",
"0.6752933",
"0.67508626",
"0.67472136",
"0.67... | 0.0 | -1 |
Test case number: 30 /Coverage entropy=1.7917594692280547 | @Test(timeout = 4000)
public void test030() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("");
// Undeclared exception!
try {
xPathLexer0.LA(0);
fail("Expecting exception: StringIndexOutOfBoundsException");
} catch(StringIndexOutOfBoundsException 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... | [
"0.73573405",
"0.7158661",
"0.7022319",
"0.7012989",
"0.6972419",
"0.69376945",
"0.6901601",
"0.68542475",
"0.6841279",
"0.6829524",
"0.67957836",
"0.6770959",
"0.6757322",
"0.67336345",
"0.6726466",
"0.6713278",
"0.6704958",
"0.6699671",
"0.668937",
"0.66707593",
"0.6650796"... | 0.0 | -1 |
Test case number: 31 /Coverage entropy=1.0986122886681096 | @Test(timeout = 4000)
public void test031() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
char char0 = xPathLexer0.LA(1073);
assertEquals('\uFFFF', char0);
} | {
"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... | [
"0.7206907",
"0.7034198",
"0.69555384",
"0.67892975",
"0.677454",
"0.6766129",
"0.67387486",
"0.6737825",
"0.67363673",
"0.67334676",
"0.6681871",
"0.6670178",
"0.66580755",
"0.6657863",
"0.6645177",
"0.664156",
"0.6604663",
"0.658638",
"0.65800524",
"0.6538957",
"0.6538294",... | 0.0 | -1 |
Test case number: 32 /Coverage entropy=2.2718685126965625 | @Test(timeout = 4000)
public void test032() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("<");
xPathLexer0.consume((-1311));
// Undeclared exception!
try {
xPathLexer0.whitespace();
fail("Expecting exception: StringIndexOutOfBoundsException");
} 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... | [
"0.7417877",
"0.72150296",
"0.6960698",
"0.69114214",
"0.68704396",
"0.68665093",
"0.6830909",
"0.680531",
"0.6782925",
"0.67598915",
"0.6735138",
"0.6728564",
"0.6722217",
"0.6688941",
"0.668104",
"0.665549",
"0.65759414",
"0.6573961",
"0.6573713",
"0.6573355",
"0.65692973",... | 0.0 | -1 |
Test case number: 33 /Coverage entropy=2.1639556568820564 | @Test(timeout = 4000)
public void test033() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume((-3572));
// Undeclared exception!
try {
xPathLexer0.whitespace();
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... | [
"0.73016244",
"0.71785796",
"0.701551",
"0.6871254",
"0.68401694",
"0.68258303",
"0.68214715",
"0.6820613",
"0.6789607",
"0.6781485",
"0.676859",
"0.67529",
"0.674725",
"0.67471725",
"0.674413",
"0.6736866",
"0.6715909",
"0.670631",
"0.6681525",
"0.6668856",
"0.66577953",
"... | 0.0 | -1 |
Test case number: 34 /Coverage entropy=1.945910149055313 | @Test(timeout = 4000)
public void test034() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume((-3572));
// Undeclared exception!
try {
xPathLexer0.slashes();
fail("Expecting exception: NullPointerException");
} catch(NullPointerEx... | {
"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... | [
"0.7357316",
"0.7222703",
"0.7041825",
"0.6951721",
"0.6938212",
"0.689494",
"0.6888827",
"0.68721604",
"0.6865252",
"0.6857013",
"0.68532914",
"0.6816319",
"0.6802424",
"0.678941",
"0.67639685",
"0.6746206",
"0.6744787",
"0.67402875",
"0.6732342",
"0.6728569",
"0.671765",
... | 0.0 | -1 |
Test case number: 35 /Coverage entropy=0.6931471805599453 | @Test(timeout = 4000)
public void test035() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
// Undeclared exception!
try {
xPathLexer0.setXPath((String) null);
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... | [
"0.74974763",
"0.7281045",
"0.7147801",
"0.71346444",
"0.7056516",
"0.7017714",
"0.70102733",
"0.70042205",
"0.7002626",
"0.6991774",
"0.69848675",
"0.69803286",
"0.6959996",
"0.6927615",
"0.6909476",
"0.68870485",
"0.68794245",
"0.68554366",
"0.68548274",
"0.679263",
"0.6785... | 0.0 | -1 |
Test case number: 36 /Coverage entropy=1.945910149055313 | @Test(timeout = 4000)
public void test036() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume((-91));
// Undeclared exception!
try {
xPathLexer0.relationalOperator();
fail("Expecting exception: NullPointerException");
} catch(Null... | {
"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... | [
"0.75003606",
"0.7351776",
"0.70869946",
"0.7059385",
"0.7051654",
"0.7022435",
"0.7005667",
"0.6984458",
"0.697418",
"0.69467145",
"0.69450724",
"0.694344",
"0.6933639",
"0.6921382",
"0.69128203",
"0.686584",
"0.68342686",
"0.6834009",
"0.68138987",
"0.6773396",
"0.6756915",... | 0.0 | -1 |
Test case number: 37 /Coverage entropy=2.0794415416798357 | @Test(timeout = 4000)
public void test037() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("[Sdf yy*X>HdSr %<}");
xPathLexer0.consume((-1189));
// Undeclared exception!
try {
xPathLexer0.or();
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... | [
"0.7439303",
"0.7299318",
"0.70774746",
"0.70563245",
"0.6982963",
"0.6974257",
"0.6969972",
"0.6962873",
"0.69348943",
"0.6920888",
"0.69009906",
"0.6895283",
"0.68846",
"0.6847107",
"0.6833799",
"0.6818429",
"0.6811205",
"0.68037695",
"0.676031",
"0.67459303",
"0.6740714",
... | 0.0 | -1 |
Test case number: 38 /Coverage entropy=1.945910149055313 | @Test(timeout = 4000)
public void test038() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume((-2535));
// Undeclared exception!
try {
xPathLexer0.or();
fail("Expecting exception: NullPointerException");
} catch(NullPointerExcepti... | {
"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... | [
"0.7391054",
"0.7225463",
"0.7062261",
"0.70534617",
"0.7019792",
"0.70058155",
"0.6976073",
"0.695002",
"0.6947342",
"0.690256",
"0.6876788",
"0.6868207",
"0.6862065",
"0.68575567",
"0.6847389",
"0.6842623",
"0.6830686",
"0.6800812",
"0.6793789",
"0.67434716",
"0.6734262",
... | 0.0 | -1 |
Test case number: 39 /Coverage entropy=2.0794415416798357 | @Test(timeout = 4000)
public void test039() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("[ (");
xPathLexer0.consume((-663));
// Undeclared exception!
try {
xPathLexer0.operatorName();
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... | [
"0.73857933",
"0.7216915",
"0.70358795",
"0.6982751",
"0.6950932",
"0.6941329",
"0.6930603",
"0.6923182",
"0.68749017",
"0.6869802",
"0.68676287",
"0.6842234",
"0.6828703",
"0.68269193",
"0.6799602",
"0.67903966",
"0.6772774",
"0.6756528",
"0.67523885",
"0.6727343",
"0.671391... | 0.0 | -1 |
Test case number: 40 /Coverage entropy=2.0794415416798357 | @Test(timeout = 4000)
public void test040() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
xPathLexer0.consume((-796));
// Undeclared exception!
try {
xPathLexer0.number();
fail("Expecting exception: StringIndexOutOfBoundsExcepti... | {
"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... | [
"0.73514235",
"0.71251196",
"0.7029289",
"0.69905674",
"0.6958436",
"0.6931662",
"0.68841815",
"0.68749106",
"0.6826996",
"0.68189573",
"0.6793022",
"0.6769548",
"0.6764855",
"0.67460966",
"0.67346954",
"0.6734594",
"0.67162806",
"0.6691644",
"0.6679024",
"0.66020465",
"0.658... | 0.0 | -1 |
Test case number: 41 /Coverage entropy=2.0794415416798357 | @Test(timeout = 4000)
public void test041() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("com.werken.saxpath.XPathLexer");
xPathLexer0.consume((-2521));
// Undeclared exception!
try {
xPathLexer0.nextToken();
fail("Expecting exception: StringIndexOutOfBoundsExc... | {
"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... | [
"0.731225",
"0.71517956",
"0.69464004",
"0.69152474",
"0.6864693",
"0.68573684",
"0.68396336",
"0.6832984",
"0.6806807",
"0.6799906",
"0.6796874",
"0.6774524",
"0.6757184",
"0.67198086",
"0.6689242",
"0.66798055",
"0.667657",
"0.6653683",
"0.6649758",
"0.6639835",
"0.66105723... | 0.0 | -1 |
Test case number: 42 /Coverage entropy=1.945910149055313 | @Test(timeout = 4000)
public void test042() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume((-4759));
// Undeclared exception!
try {
xPathLexer0.nextToken();
fail("Expecting exception: NullPointerException");
} catch(NullPointer... | {
"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... | [
"0.7399133",
"0.7225592",
"0.69444644",
"0.69158286",
"0.688044",
"0.68718743",
"0.68718386",
"0.6846492",
"0.68218035",
"0.6805855",
"0.6760812",
"0.6754457",
"0.67395306",
"0.67328435",
"0.6727205",
"0.67242885",
"0.67094994",
"0.67041236",
"0.6698398",
"0.6674786",
"0.6668... | 0.0 | -1 |
Test case number: 43 /Coverage entropy=2.0794415416798357 | @Test(timeout = 4000)
public void test043() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("F#VsZ=,K/");
xPathLexer0.consume((-3281));
// Undeclared exception!
try {
xPathLexer0.mod();
fail("Expecting exception: StringIndexOutOfBoundsException");
} c... | {
"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... | [
"0.72534496",
"0.71233517",
"0.6954463",
"0.69240606",
"0.6848789",
"0.6826214",
"0.68129456",
"0.68024945",
"0.6790559",
"0.67623824",
"0.6745034",
"0.67409045",
"0.67376703",
"0.67330736",
"0.6728787",
"0.6720357",
"0.6705051",
"0.6703527",
"0.6683001",
"0.66692555",
"0.666... | 0.0 | -1 |
Test case number: 44 /Coverage entropy=1.945910149055313 | @Test(timeout = 4000)
public void test044() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume((-863));
// Undeclared exception!
try {
xPathLexer0.mod();
fail("Expecting exception: NullPointerException");
} catch(NullPointerExcepti... | {
"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... | [
"0.7211339",
"0.7154959",
"0.6869758",
"0.68577164",
"0.6822561",
"0.6808369",
"0.6760561",
"0.6751464",
"0.6751245",
"0.67357063",
"0.6724888",
"0.6713769",
"0.67073005",
"0.66990846",
"0.6684505",
"0.66792625",
"0.6675933",
"0.665164",
"0.6644639",
"0.663884",
"0.6587001",
... | 0.0 | -1 |
Test case number: 45 /Coverage entropy=2.0794415416798357 | @Test(timeout = 4000)
public void test045() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer("hN!SM~8ux(wB");
xPathLexer0.consume((-1));
// Undeclared exception!
try {
xPathLexer0.literal();
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... | [
"0.71960515",
"0.7073087",
"0.69002086",
"0.6824983",
"0.67850214",
"0.67645705",
"0.67444533",
"0.66752934",
"0.6662625",
"0.6656003",
"0.6640276",
"0.6611567",
"0.6608392",
"0.65993994",
"0.6599319",
"0.6565999",
"0.6560424",
"0.65592414",
"0.65531147",
"0.6543652",
"0.6537... | 0.0 | -1 |
Test case number: 46 /Coverage entropy=1.945910149055313 | @Test(timeout = 4000)
public void test046() throws Throwable {
XPathLexer xPathLexer0 = new XPathLexer();
xPathLexer0.consume((-2568));
// Undeclared exception!
try {
xPathLexer0.literal();
fail("Expecting exception: NullPointerException");
} catch(NullPointerEx... | {
"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... | [
"0.7304202",
"0.7160091",
"0.6989217",
"0.6935542",
"0.68930715",
"0.6864995",
"0.6826209",
"0.68048656",
"0.680415",
"0.68000865",
"0.67791665",
"0.6770209",
"0.6759161",
"0.6756402",
"0.6734161",
"0.6726059",
"0.6717321",
"0.67112577",
"0.66991615",
"0.6676969",
"0.6651634"... | 0.0 | -1 |
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