words) {\n\t\t// TODO : Implement\n\t\t// Sum up the log probabilities for each word in the input data, and the\n\t\t// probability of the label\n\t\t// Set the label to the class with larger log probability\n\t\tClassifyResult res = new ClassifyResult();\n\t\tMap<Label, Double> logProbPerLabel = new HashMap<Label, Double>();\n\t\tdouble posProb = 0.0;\n\t\tfor(String word : words) {\n\t\t\tposProb +=Math.log(p_w_given_l(word, Label.POSITIVE));\n\t\t}\t\t\n\t\tposProb += Math.log(p_l(Label.POSITIVE));\n\t\tlogProbPerLabel.put(Label.POSITIVE, posProb);\n\t\tdouble negProb = 0.0;\n\t\tfor(String word : words) {\n\t\t\tnegProb +=Math.log(p_w_given_l(word, Label.NEGATIVE));\n\t\t}\n\t\tnegProb += Math.log(p_l(Label.NEGATIVE));\n\t\tlogProbPerLabel.put(Label.NEGATIVE, negProb);\n\t\tres.logProbPerLabel = logProbPerLabel;\n\t\tif(posProb >= negProb)\n\t\t{\n\t\t\tres.label = Label.POSITIVE;\n\t\t}\n\t\telse\n\t\t{\n\t\t\tres.label = Label.NEGATIVE;\n\t\t}\n\t\treturn res;\n\t}","title":""},{"docid":"18d39c1fa3f6b56bef596cc4a26bc672","score":"0.5989327","text":"private ClassificationResult(String classifier, String testDataSubject,\n int numberOfSensors, List<String> sensorList, String sensorSummary,\n double averageF1Score,\n double averagePrecision, double averageRecall,\n double averageTPRate, double averageFPRate,\n double[] averageF1PerTask,\n double accuracy, long timeTaken) {\n\n // create header for CSV writing later on, MIND THE ORDER, has to stay the same as values below\n if (headerForCSV == null) {\n LinkedList<String> headerList = new LinkedList<>();\n headerList = new LinkedList<>();\n headerList.add(\"Classifier\");\n headerList.add(\"F1\");\n headerList.add(\"Precision\");\n headerList.add(\"Recall\");\n headerList.add(\"TP Rate\");\n headerList.add(\"FP Rate\");\n headerList.add(\"Number-of-sensors\");\n for (String sensor : GlobalData.getAllAvailableSensors()) {\n headerList.add(getSensorNameForTable(sensor));\n }\n headerList.add(\"Sensor-summary\");\n headerList.add(\"Subject\");\n headerList.add(\"Accuracy\");\n headerList.add(\"Time-taken\");\n\n for (String activity : GlobalData.getAllActivities()) {\n headerList.add(activity);\n }\n\n headerForCSV = headerList.toArray(new String[headerList.size()]);\n }\n\n\n // collect data for CSV writing later on, MIND THE ORDER\n LinkedList<String> dataForCSVList = new LinkedList<>();\n dataForCSVList.add(classifier);\n dataForCSVList.add(f1ResultForTable(averageF1Score));\n dataForCSVList.add(f1ResultForTable(averagePrecision));\n dataForCSVList.add(f1ResultForTable(averageRecall));\n dataForCSVList.add(f1ResultForTable(averageTPRate));\n dataForCSVList.add(f1ResultForTable(averageFPRate));\n dataForCSVList.add(Integer.toString(numberOfSensors));\n for (String sensor : GlobalData.getAllAvailableSensors()) {\n if (sensorList.contains(sensor)) {\n dataForCSVList.add(getSensorNameForTable(sensor));\n } else {\n dataForCSVList.add(\" \");\n }\n }\n dataForCSVList.add(sensorSummary);\n dataForCSVList.add(testDataSubject);\n dataForCSVList.add(f1ResultForTable(accuracy));\n dataForCSVList.add(Long.toString(timeTaken));\n\n for (int i = 0; i < averageF1PerTask.length; i++) {\n dataForCSVList.add(Double.toString(averageF1PerTask[i]));\n }\n\n dataForCSV = dataForCSVList.toArray(new String[dataForCSVList.size()]);\n\n // collect original data for comparisons\n this.classifier = classifier;\n this.testDataSubject = testDataSubject;\n this.numberOfSensors = numberOfSensors;\n this.sensorList = sensorList;\n this.averageF1Score = averageF1Score;\n this.averagePrecision = averagePrecision;\n this.averageRecall = averageRecall;\n this.averageTPRate = averageTPRate;\n this.averageFPRate = averageFPRate;\n this.sensorSummary = sensorSummary;\n this.timeTaken = timeTaken;\n this.accuracy = accuracy;\n this.averageF1PerTask = averageF1PerTask;\n }","title":""},{"docid":"83108b67478f1d792edf48efbf6af9a2","score":"0.59814316","text":"public double classify(String instance)\n {\n\treturn classify_instance(modelHandle, instance);\n }","title":""},{"docid":"fbe30509f783dbb14252af7450c8fe40","score":"0.59675926","text":"@Test\n public void testTrain_C() {\n System.out.println(\"train_C\");\n ClassificationDataSet train = FixedProblems.get2ClassLinear(200, RandomUtil.getRandom());\n\n AROW arow0 = new AROW(1, true);\n AROW arow1 = new AROW(1, false);\n\n arow0.train(train);\n arow1.train(train);\n\n ClassificationDataSet test = FixedProblems.get2ClassLinear(200, RandomUtil.getRandom());\n\n for (DataPointPair<Integer> dpp : test.getAsDPPList())\n assertEquals(dpp.getPair().longValue(), arow0.classify(dpp.getDataPoint()).mostLikely());\n for (DataPointPair<Integer> dpp : test.getAsDPPList())\n assertEquals(dpp.getPair().longValue(), arow1.classify(dpp.getDataPoint()).mostLikely());\n }","title":""},{"docid":"73a1445215229e8bac55008394c80afe","score":"0.59491324","text":"public static void main(String[] args) {\r\n\t\ttry {\r\n\t\t\tSystem.out.println(\"Parsing Movie Data\");\r\n\t\t\tMovieData md = new MovieData(DATA_PATH, REVENUE_CUTOFF);\r\n\t\t\tSystem.out.println(\"Categorizing\");\r\n\t\t\tmd.categorize(K_BUDGET, K_DURATION, K_VOTE_AVERAGE, K_VOTE_COUNT);\r\n\r\n//\t\t\tmd.printFirstGenreCounts();\r\n\r\n\t\t\t// Calculate information gain and counts for Decision Stumps\r\n\r\n\t\t\tSystem.out.println(\"Calculating Entropy\");\r\n\t\t\t// calculate entropy\r\n\t\t\tDouble entropy = 0.0;\r\n\t\t\tint numInstances = md.movies.size();\r\n\t\t\tint numPositive = 0;\r\n\t\t\tint numNegative = 0;\r\n\t\t\tfor (int i = 0; i < numInstances; i++) {\r\n\t\t\t\tif (md.y.get(i) == 1.0)\r\n\t\t\t\t\tnumPositive++;\r\n\t\t\t\telse\r\n\t\t\t\t\tnumNegative++;\r\n\t\t\t}\r\n\t\t\tentropy -= Double.valueOf(numNegative) / numInstances * Math.log(Double.valueOf(numNegative) / numInstances)\r\n\t\t\t\t\t/ Math.log(2);\r\n\t\t\tentropy -= (0.0 + numPositive) / numInstances * Math.log((0.0 + numPositive) / numInstances) / Math.log(2);\r\n\r\n//\t\t\tSystem.out.println(\"entropy: \" + entropy + \" numNegative: \" + numNegative + \" numPositive: \" + numPositive\r\n//\t\t\t\t\t+ \" numInstances: \" + numInstances);\r\n\r\n\t\t\tSystem.out.println(\"Calculating Information Gains\");\r\n\t\t\t// Start with budget\r\n\t\t\tint[] numPositiveXjBudget = new int[K_BUDGET];\r\n\t\t\tint[] numNegativeXjBudget = new int[K_BUDGET];\r\n\t\t\tint[] numXjBudget = new int[K_BUDGET];\r\n\t\t\tDouble informationGainBudget = calcInfGain(entropy, K_BUDGET, numInstances, md, numXjBudget,\r\n\t\t\t\t\tnumPositiveXjBudget, numNegativeXjBudget, 0);\r\n\r\n\t\t\t// Duration\r\n\t\t\tint[] numPositiveXjDuration = new int[K_DURATION];\r\n\t\t\tint[] numNegativeXjDuration = new int[K_DURATION];\r\n\t\t\tint[] numXjDuration = new int[K_DURATION];\r\n\t\t\tDouble informationGainDuration = calcInfGain(entropy, K_DURATION, numInstances, md, numXjDuration,\r\n\t\t\t\t\tnumPositiveXjDuration, numNegativeXjDuration, 1);\r\n\r\n\t\t\t// VoteAverage\r\n\t\t\tint[] numPositiveXjVA = new int[K_VOTE_AVERAGE];\r\n\t\t\tint[] numNegativeXjVA = new int[K_VOTE_AVERAGE];\r\n\t\t\tint[] numXjVA = new int[K_VOTE_AVERAGE];\r\n\t\t\tDouble informationGainVA = calcInfGain(entropy, K_VOTE_AVERAGE, numInstances, md, numXjVA, numPositiveXjVA,\r\n\t\t\t\t\tnumNegativeXjVA, 2);\r\n\r\n\t\t\t// VoteCount\r\n\t\t\tint[] numPositiveXjVC = new int[K_VOTE_COUNT];\r\n\t\t\tint[] numNegativeXjVC = new int[K_VOTE_COUNT];\r\n\t\t\tint[] numXjVC = new int[K_VOTE_COUNT];\r\n\t\t\tDouble informationGainVC = calcInfGain(entropy, K_VOTE_COUNT, numInstances, md, numXjVC, numPositiveXjVC,\r\n\t\t\t\t\tnumNegativeXjVC, 3);\r\n\r\n\t\t\t// Genres\r\n\t\t\tint[] numPositiveXjGenre = new int[NUM_GENRES];\r\n\t\t\tint[] numNegativeXjGenre = new int[NUM_GENRES];\r\n\t\t\tint[] numXjGenre = new int[NUM_GENRES];\r\n\t\t\tDouble informationGainGenre = calcInfGain(entropy, NUM_GENRES, numInstances, md, numXjGenre,\r\n\t\t\t\t\tnumPositiveXjGenre, numNegativeXjGenre, 4);\r\n\r\n\t\t\t// Time to generate output file\r\n\t\t\tBufferedWriter bw = new BufferedWriter(new FileWriter(OUTPUT_PATH));\r\n\t\t\t// Budget\r\n\t\t\tbw.write(\"\" + K_BUDGET + \", \" + informationGainBudget + \", \" + numPositiveXjBudget[0] + \", \"\r\n\t\t\t\t\t+ numNegativeXjBudget[0]);\r\n\t\t\tfor (int i = 1; i < K_BUDGET; i++) {\r\n\t\t\t\tbw.write(\", \" + numPositiveXjBudget[i] + \", \" + numNegativeXjBudget[i]);\r\n\t\t\t}\r\n\t\t\tbw.newLine();\r\n\r\n\t\t\t// Genre\r\n\t\t\tbw.write(\"\" + NUM_GENRES + \", \" + informationGainGenre + \", \" + numPositiveXjGenre[0] + \", \"\r\n\t\t\t\t\t+ numNegativeXjGenre[0]);\r\n\t\t\tfor (int i = 1; i < NUM_GENRES; i++) {\r\n\t\t\t\tbw.write(\", \" + numPositiveXjGenre[i] + \", \" + numNegativeXjGenre[i]);\r\n\t\t\t}\r\n\t\t\tbw.newLine();\r\n\r\n\t\t\t// Duration\r\n\t\t\tbw.write(\"\" + K_DURATION + \", \" + informationGainDuration + \", \" + numPositiveXjDuration[0] + \", \"\r\n\t\t\t\t\t+ numNegativeXjDuration[0]);\r\n\t\t\tfor (int i = 1; i < K_DURATION; i++) {\r\n\t\t\t\tbw.write(\", \" + numPositiveXjDuration[i] + \", \" + numNegativeXjDuration[i]);\r\n\t\t\t}\r\n\t\t\tbw.newLine();\r\n\r\n\t\t\t// VoteAverage\r\n\t\t\tbw.write(\"\" + K_VOTE_AVERAGE + \", \" + informationGainVA + \", \" + numPositiveXjVA[0] + \", \"\r\n\t\t\t\t\t+ numNegativeXjVA[0]);\r\n\t\t\tfor (int i = 1; i < K_VOTE_AVERAGE; i++) {\r\n\t\t\t\tbw.write(\", \" + numPositiveXjVA[i] + \", \" + numNegativeXjVA[i]);\r\n\t\t\t}\r\n\t\t\tbw.newLine();\r\n\r\n\t\t\t// VoteCount\r\n\t\t\tbw.write(\"\" + K_VOTE_COUNT + \", \" + informationGainVC + \", \" + numPositiveXjVC[0] + \", \"\r\n\t\t\t\t\t+ numNegativeXjVC[0]);\r\n\t\t\tfor (int i = 1; i < K_VOTE_COUNT; i++) {\r\n\t\t\t\tbw.write(\", \" + numPositiveXjVC[i] + \", \" + numNegativeXjVC[i]);\r\n\t\t\t}\r\n\t\t\tbw.close();\r\n\r\n\t\t\tSystem.out.println(\"Done\");\r\n\r\n\t\t} catch (FileNotFoundException e) {\r\n\t\t\te.printStackTrace();\r\n\t\t} catch (IOException e) {\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t}","title":""},{"docid":"5a1945973af353ca0f20ec7fa828927e","score":"0.594686","text":"public static void main(String []args)\n\t{\n\t\t\tTweetFeatureExtractor.constructModel();\n\t\t\tNBayesCalculator.constructModel();\n\t\t\tSystem.out.println(\"\\n\\n\");\n\t\t\tSystem.out.println(NBayesCalculator.classifyNewTweet( \"ahh ive always wanted to see rent love the soundtrack!!\"));\n\t\n\t}","title":""},{"docid":"44e8fab5dcda69faade55b2d9ccf1b6e","score":"0.5939058","text":"private static void applyCLA(Instances data) {\r\n // first determine medians\r\n double[] medians = new double[data.numAttributes()];\r\n // get medians\r\n for (int j = 0; j < data.numAttributes(); j++) {\r\n if (j != data.classIndex()) {\r\n medians[j] = data.kthSmallestValue(j, (data.numInstances() + 1) >> 1);\r\n }\r\n }\r\n // now determine cluster number for each instance\r\n double[] clusterNumber = new double[data.numInstances()];\r\n for (int i = 0; i < data.numInstances(); i++) {\r\n int countHighValues = 0;\r\n Instance currentInstance = data.get(i);\r\n for (int j = 0; j < data.numAttributes(); j++) {\r\n if (j != data.classIndex()) {\r\n if (currentInstance.value(j) > medians[j]) {\r\n countHighValues++;\r\n }\r\n }\r\n }\r\n clusterNumber[i] = countHighValues;\r\n }\r\n\r\n // determine median of cluster number\r\n Median m = new Median();\r\n double medianClusterNumber = m.evaluate(Arrays.stream(clusterNumber).distinct().toArray());\r\n\r\n // finally modify the instances\r\n // drop the unclean instances\r\n for (int i = data.numInstances() - 1; i >= 0; i--) {\r\n // set the classification\r\n if (clusterNumber[i] > medianClusterNumber) {\r\n data.get(i).setClassValue(1.0d);\r\n }\r\n else {\r\n data.get(i).setClassValue(0.0d);\r\n }\r\n }\r\n }","title":""},{"docid":"294a414e31b0bd233b5773414badeb60","score":"0.5930231","text":"protected Double classify(List<Feature> features) throws CleartkProcessingException {\n return this.classifier.classify(features);\n }","title":""},{"docid":"b326eeb609af38d730d982bea3ad8cde","score":"0.5877698","text":"public static List<ClassifierResult> createFusionTrainingDataset(IConfig config) throws IOException {\n\n\n\t\t\n\t\tPath devDatasetPath = null;\n\t\tPath trainDatasetPath = null;\n\t\t\n\t/*\tboolean devDataSampling =config.getBooleanProperty(IConfig.PROPERTY_SAMPLING_DEV_DATA_FLAG); \t\n\t\t\n\t\t//are we sampling from the training dataset to create the clean dev dataset?\n\t\tif(devDataSampling){\n\t\t\t\n\t\t\t\n\t\t\tFile sampledDevDataFile = File.createTempFile(\"sampledDevData\", null);\n\t\t\tFile newTrainignDataFile = File.createTempFile(\"newTrainingData\", null);\n\t\t\t\n\t\t\tdouble sampleProb = config.getDoubleProperty(IConfig.PROPERTY_DEV_DATA_PROPORTION);\n\t\t\t\n\t\t\tString src = config.getProperty(IConfig.PROPERTY_CLEANED_TRAINING_DATA_FILE);\n\t\t\t\n\t\t\t//create the dev data and remove samples from training data\n\t\t\tFileHandler.createSampleFile(src, newTrainignDataFile.getAbsolutePath(), sampledDevDataFile.getAbsolutePath(), sampleProb);\n\t\t\t\n\t\t\tdevDatasetPath=sampledDevDataFile.toPath();\n\t\t\ttrainDatasetPath=newTrainignDataFile.toPath();\n\t\t\t\t\n\t\t}else{//not sampling, just use the files as usual\n\t\t*/\t//devDatasetPath = Util.parseAndVerifyPath(config,IConfig.PROPERTY_CLEANED_DEV_DATA_FILE);\n\t\t\t\n\t\t\tdevDatasetPath =Util.tryParsePath(config,IConfig.PROPERTY_CLEANED_DEV_DATA_FILE);\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t//trainDatasetPath = Util.parseAndVerifyPath(config,IConfig.PROPERTY_CLEANED_TRAINING_DATA_FILE);\n\t\t\ttrainDatasetPath = Util.tryParsePath(config,IConfig.PROPERTY_CLEANED_TRAINING_DATA_FILE);\n\t\t\t\n\t\t//}\n\t\t\n\t\tLogger log = LoggerFactory.getInstance();\n\t\tlog.log_info(\"creating fusion training data by running classifiers on development data...\");\n\t\t/*\n\t\t * train and then run the development data trhough the classifiers\n\t\t */\n\t\t\n\t\tList<AbstractClassifier> classifiers = new ArrayList<AbstractClassifier>(4);\n\n\t\tfor(String classifierId : CLASSIFIERS_USED){\n\t\t\t//pass the development dataset to classifiers. It will act as the test dataset\n\t\t\t//the predictions of dev data will be ussed to create fusion training data set\n\t\t\tAbstractClassifier classifier = ClassifierBuilder.build(classifierId,devDatasetPath.toString(),trainDatasetPath.toString(),config);\n\n\t\t\t//is it the nlp-based appraoch?\n\t\t/*\tif(classifier instanceof NLPBasedClassifier){\n\t\t\t\t\n\t\t\t\t//set the predictions fiel (if it exists) to nlp classifier\n\t\t\t\tString nlpPredictionsFile = config.getProperty(IConfig.PROPERTY_CLEANED_NLP_BASED_LABELED_DEV_DATA_FILE);\n\t\t\t\tNLPBasedClassifier nlpClassifier = (NLPBasedClassifier) classifier;\n\t\t\t\tnlpClassifier.setNLPBasedPredictionsFile(nlpPredictionsFile);\n\t\t\t}*/\n\t\t\t//i sholud do this in parralele\n\t\t\t//classifier.trainAndClassify();//trains (if applicable) the model off training data and tests on the development data\n\t\t\tclassifiers.add(classifier);\n\t\t}\n\n\t\t//train in parrallel\n\t\tClassifierRunner.runClassifiers(classifiers);\n\t\tlog.log_info(\"finished running all in fusino training\");\n\t\t\n\t\t//String result = \"\";\n\t\t\n\t\t//List<Label> labelset = AbstractClassifier.getLabelSet(config);\n\t\t\n\t\t/*for(AbstractClassifier c : classifiers){\n\t\t\tresult += c.stringifyPerformance(labelset) +TweetParser.NEW_LINE;\n\t\t}*/\n\t\t//here should joint threadsa\n\t\t//throw new IllegagelStaeExeption(\"need to parreleilize\");\n\t\t//for completness, make sure classifiers exist\n\t\tif(classifiers.isEmpty()){\n\t\t\tlog.log_error(\"failed to classify any classifier succesfully, exiting...\");\n\t\t\tSystem.exit(1);\n\t\t}\n\t\t//note that size of first classifier is equal to all others\n\t\tint numberOfInstances = classifiers.get(0).size();\n\n\t\tdouble qThreshold= config.getDoubleProperty(IConfig.PROPERTY_Q_DIVERSITY_THRESHOLD);\n\t\t//apply Q mesure to remove any classifier that don't have diverse results\n\t\t//classifiers = diversifyClassifiers(classifiers,qThreshold);\n\n\t\tlog.log_debug(\"merging classifications into fusion tuples...\");\n\t\t//throw new IllegalStateException(\"need to consider case that classifiers are not diverse enogh (empty list)\");\n\t\tList<FusionInstance> fusionTrainingData = new ArrayList<FusionInstance>(numberOfInstances);\n\n\t\t//iterate all the dev data preditions for each classifier and create fusion sample/datum\n\t\tfor(int i = 0; i < numberOfInstances;i++){\n\t\t\tLabel devSample = classifiers.get(0).getRealLabel(i);\n\n\t\t\t//create the fusion training sample\n\t\t\tFusionInstance fusionInstance = new FusionInstance(devSample);\n\n\t\t\t//iterate all the classifier's predictions for the ith dev sample and create a fusion sample\n\t\t\tfor(AbstractClassifier c : classifiers){\n\t\t\t\tLabel prediction = c.getPredictedLabel(i);\n\t\t\t\tfusionInstance.addPrediction(prediction);\n\t\t\t}\n\n\n\n\t\t\t//add fusion sample to fusion training data\n\t\t\tfusionTrainingData.add(fusionInstance);\n\t\t}\n\n\t\t\n\t\t//Path fusionTrainOutputPath = Paths.get(config.getProperty(IConfig.PROPERTY_ROOT_PATH),config.getProperty(IConfig.PROPERTY_FUSION_TRAINING_DATA_FILE));\n\t\tPath fusionTrainOutputPath=Util.tryParsePath(config,IConfig.PROPERTY_FUSION_TRAINING_DATA_FILE);\n\n\t\tif(!fusionTrainOutputPath.toFile().exists()){\n\t\t\tFileHandler.createFile(fusionTrainOutputPath);\n\t\t}\n\t\tFileAppender fileIO = new FileAppender(fusionTrainOutputPath,Main.FILE_BUFFER_SIZE);\n\t\t\n\t\tfileIO.open();\n\n\t\t//now create the fusion training dataset file to allow new phase to train fusion model\n\t\tfor(FusionInstance fd: fusionTrainingData){\n\n\t\t\tString outputLine = fd.toString() + TweetParser.NEW_LINE;\n\t\t\t//FileHandler.append(fusionTrainOutputPath, outputLine.getBytes());\n\t\t\tfileIO.append(outputLine);\n\t\t}\n\t\tfileIO.flush();\n\t\tfileIO.close();\n\t\t\n\t\t\n\t\tlog.log_debug(\"finished appending training fusion instances...\");\n\t\t\n\t\tList<Label> labelset = AbstractClassifier.getLabelSet(config);\n\t\tList<ClassifierResult> results = new ArrayList<ClassifierResult>(classifiers.size());\n\t\t\n\t\tfor(AbstractClassifier c : classifiers){\n\t\t\tClassifierResult res = c.computeClassifierResult(labelset);\n\t\t\tString name = res.getClassifierName();\n\t\t\t\n\t\t\tname= \"Fusion Training result: \"+name;\n\t\t\tres.setClassifierName(name);\n\t\t\t\n\t\t\tresults.add(res);\n\t\t}\n\t\treturn results;\n\t}","title":""},{"docid":"cc7c24d0de57b02b293c71da153718ea","score":"0.5873642","text":"int classify(Tuple tuple){\n\t\tdouble pro0=this.Pros[0];\n\t\tdouble pro1=this.Pros[1];\n\t\tHashMap<Integer,HashMap<Integer,Integer>> attriCount;\n\t\t\n\t\tfor(Integer index:tuple.indexvaluemap.keySet()){\n\t\t\tint value=tuple.indexvaluemap.get(index);\n\t\t\t\n\t\t\t//calculate P(x|-1)\n\t\t\tattriCount=this.nAttributeCount;\n\t\t\tif(attriCount.containsKey(index)){\n\t\t\t\tif(attriCount.get(index).containsKey(value)){\n\t\t\t\t\tpro0*=(double)attriCount.get(index).get(value)/this.classsupport[0];\n\t\t\t\t}\n\t\t\t\telse{\n\t\t\t\t\tpro0*=(double)1.0/(this.classsupport[0]+attriCount.get(index).keySet().size());\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t//calculate P(x|+1)\n\t\t\tattriCount=this.pAttributeCount;\n\t\t\tif(attriCount.containsKey(index)){\n\t\t\t\tif(attriCount.get(index).containsKey(value)){\n\t\t\t\t\tpro1*=(double)attriCount.get(index).get(value)/this.classsupport[1];\n\t\t\t\t}\n\t\t\t\telse{\n\t\t\t\t\tpro1*=(double)1.0/(this.classsupport[1]+attriCount.get(index).keySet().size());\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\n\t\t//*************************************************\n\t\tif(pro0-pro1>0){\n\t\t\ttuple.classresult=-1;\n\t\t\treturn -1;\n\t\t}\n\t\telse {\n\t\t\ttuple.classresult=+1;\n\t\t\t//System.out.println(\"positive\");\n\t\t\treturn 1;\n\t\t}\n\t\t/*\n\t\telse{\n\t\t\ttuple.classresult=0;\n\t\t\treturn 0;\n\t\t}*/\n\t\t//*************************************************\n\t\t\n\t}","title":""},{"docid":"73cbe65ab1b9cfd3fa0249a17582ad21","score":"0.5866608","text":"public static void main(String[] args) throws Exception {\n\t\n\tWeka_IRIS_NB_NoCV wekaNoCV = new Weka_IRIS_NB_NoCV();\n\t\n//\twekaNoCV.runClassifier(\"weka.classifiers.bayes.NaiveBayes\");\n//\twekaNoCV.runClassifier(\"weka.classifiers.bayes.NaiveBayesMultinomial\");\n//\twekaNoCV.runClassifier(\"weka.classifiers.bayes.NaiveBayesMultinomialText\");\n//\twekaNoCV.runClassifier(\"weka.classifiers.bayes.NaiveBayesMultinomialUpdateable\");\n//\twekaNoCV.runClassifier(\"weka.classifiers.bayes.NaiveBayesUpdateable\");\n\n\tWeka_IRIS_NB_CV wekaCV = new Weka_IRIS_NB_CV();\n//\twekaCV.runClassifier(\"weka.classifiers.bayes.NaiveBayes\");\n//\twekaCV.runClassifier(\"weka.classifiers.bayes.NaiveBayesMultinomial\");\n//\twekaCV.runClassifier(\"weka.classifiers.bayes.NaiveBayesMultinomialText\");\n//\twekaCV.runClassifier(\"weka.classifiers.bayes.NaiveBayesMultinomialUpdateable\");\n\twekaCV.runClassifier(\"weka.classifiers.bayes.NaiveBayesUpdateable\");\n\t\n\t}","title":""},{"docid":"14b69faeaa205357c0bd998187c1e202","score":"0.58608884","text":"public double[] knnClassifyData(ArrayList<double[]> data, int k, String distanceMethod, int[] categoricalFeatures, BufferedWriter buffWriter) throws IOException {\r\n\t\tint errors=0;\r\n\t\tfor (double[] toClassify:data){\r\n\t\t\tSystem.out.println(\"Prediction for: \" + toClassify[0]);\r\n\t\t\tint prediction = knnClassifyPoint(trainedModel,toClassify,k,distanceMethod,categoricalFeatures);\r\n\t\t\tif(prediction != (int) toClassify[0]) {\r\n\t\t\t\terrors++;\r\n\t\t\t}\r\n\t\t\tSystem.out.println(\"PREDICTED: \" + (prediction) + \", ACTUAL: \" + ((int) toClassify[0]) + \"\\n\");\r\n\t\t\t//buffWriter.write(\"PREDICTED: class \" + (prediction+1) + \", ACTUAL: \" + ((int) toClassify[0]) + \"\\n\");\r\n\t\t}\r\n\t\tdouble errorRate = (double)errors/(double)data.size();\r\n\t\tbuffWriter.write(\"TOTAL MISCLASSIFICATIONS: \" + errors + \"\\n\");\r\n\t\tbuffWriter.write(\"ERROR %: \" + (errorRate*100) + \"\\n\\n\");\r\n\t\treturn new double[]{errors,errorRate};\r\n\t}","title":""},{"docid":"71f34ead6d7ad3fb91cb807b5f83bfa7","score":"0.5835139","text":"public static void main(String[] args) {\n int a, b, c;\n System.out.println(\"The triangle dimensions are 3, 4, and 5 for the first test.\");\n Triangle tri = new Triangle(3,4,5);\n System.out.println(\"The triangle is classified as a: \" + tri.classify()+\"\\n\");\n \n System.out.println(\"The triangle dimensions are 10, 14, and 10 for the second test.\");\n Triangle tri2 = new Triangle(10,14,10);\n System.out.println(\"The triangle is classified as a: \" + tri2.classify()+\"\\n\");\n \n System.out.println(\"The triangle dimensions are 55, 55, and 55 for the third test.\");\n Triangle tri3 = new Triangle(55,55,55);\n System.out.println(\"The triangle is classified as a: \" + tri3.classify()+\"\\n\");\n }","title":""},{"docid":"482bbab511e480582ad2f4732b87f0e2","score":"0.5821028","text":"public static void main(String[] args) throws Exception\r\n {\n removeNoise.run();\r\n \r\n //get key product id's\r\n getKeyProductIDs();\r\n \r\n //generate weka files for all key products \r\n for(int x: keyProducts)\r\n {\r\n buildWekaFileForProduct wekaFile = new buildWekaFileForProduct();\r\n wekaFile.run(x);\r\n }\r\n \r\n //*** BUILD THE FINAL OUTPUT TABLE ****\r\n int c = 0;\r\n int o = 0;\r\n for(int t: keyProducts)\r\n {\r\n predictor p = new predictor();\r\n p.run(t);\r\n int[] res = p.getOuput();\r\n \r\n //insert the id of the current product\r\n ids[c] = t;\r\n \r\n \r\n for(int j: res)\r\n {\r\n finalRes[c][o] = j;\r\n o++;\r\n }\r\n c++;\r\n o = 0;\r\n }\r\n \r\n //**** END OF FINAL OUTPUT TABLE BUILD ****//\r\n \r\n //**** CALCULATE THE OVERALL SUM **** //\r\n int counter = 0;\r\n \r\n //iterate over the columns (0 - 28)\r\n for(int i = 0; i < 29; i++)\r\n {\r\n int sum = 0;\r\n //iterate over the product ids (0 - 100)\r\n for(int j = 0; j < finalRes.length; j++)\r\n {\r\n sum = sum +finalRes[j][i];\r\n }\r\n overall[i] = sum;\r\n }\r\n //**** END OF OVERALL QUANTITY CALCULATION ***\r\n \r\n //*** START OF FINAL OUTPUT FILE CREATION ****//\r\n PrintWriter writer = null;\r\n writer = writer = new PrintWriter(\"output.txt\", \"UTF-8\");\r\n //output the overall quantity prediction\r\n writer.print(\"0 \");\r\n for(int i = 0; i < overall.length; i++)\r\n {\r\n writer.print(overall[i]+\" \");\r\n }\r\n writer.println();\r\n \r\n //ouput the prediction for each individual product\r\n for(int i = 0; i < finalRes.length; i++)\r\n {\r\n writer.print(ids[i]+\" \");\r\n for(int j = 0; j < finalRes[i].length; j++)\r\n {\r\n writer.print(finalRes[i][j]+\" \");\r\n }\r\n writer.println();\r\n }\r\n writer.close();\r\n System.out.println(\"Output file created -----> output.txt\");\r\n //**** END OF OUTPUT FILE CREATION****//\r\n }","title":""},{"docid":"741762cf48156163c447a26de89cf260","score":"0.5814899","text":"public static double[] runClassifier(Instances data, Classifier classifier,\r\n int numFolds, Logger log) throws Exception {\r\n double[] testResults = new double[data.numInstances()];\r\n int offset = 0;\r\n for(int fold = 0; fold < numFolds; fold++) {\r\n Instances train = data.trainCV(numFolds, fold);\r\n Instances test = data.testCV(numFolds, fold);\r\n if(log != null) {\r\n log.statusMessage(String.format(\"Building and Testing classifier for \" +\r\n \"fold %d out of %d\", fold + 1, numFolds));\r\n }\r\n classifier.buildClassifier(train);\r\n for(int j = 0; j < test.numInstances(); j++) {\r\n testResults[offset + j] = classifier.classifyInstance(test.instance(j));\r\n }\r\n offset += test.numInstances();\r\n }\r\n return testResults;\r\n }","title":""},{"docid":"cb90d75e78dc20ffaebf8e483e03df69","score":"0.57943726","text":"public static double[] runClassifier(Instances data, Classifier classifier,\r\n int numFolds) throws Exception {\r\n return runClassifier(data, classifier, numFolds, null);\r\n }","title":""},{"docid":"f6d6e97995718d4724cb2b14b4121465","score":"0.5792395","text":"public static void main(String[] args) {\n\t\ttry {\n\t\t\tSystem.out.println(\"Starting read-in\");\n\t\t\tList<Tide> data1999 = AnalysisMethods.readInData(dataURL1999, siteURL);\n\t\t\tSystem.out.println(\"Read in 1999\");\n\t\t\tList<Tide> data2000 = AnalysisMethods.readInData(dataURL2000, siteURL);\n\t\t\tSystem.out.println(\"Read in 2000\");\n\t\t\tList<Tide> data2001 = AnalysisMethods.readInData(dataURL2001, siteURL);\n\t\t\tSystem.out.println(\"Read in 2001\");\n\t\t\tallData.addAll(data1999);\n\t\t\tSystem.out.println(\"Added 1999 to master list\");\n\t\t\tallData.addAll(data2000);\n\t\t\tSystem.out.println(\"Added 2000 to master list\");\n\t\t\tallData.addAll(data2001);\n\t\t\tSystem.out.println(\"Added 2001 to master list\");\n\t\t\tSystem.out.println(\"All data was correctly read in and combined\");\n\n\t\t} catch (IOException e) {\n\t\t\tSystem.out.println(\"There was an error reading in data\");\n\t\t\tSystem.out.println(e.getMessage());\n\t\t}\n\n\t\t//find the highest tide on record\n\t\ttry {\n\t\t\tSystem.out.println(\"\\nThe highest tide recorded was:\");\n\t\t\tSystem.out.println(AnalysisMethods.getHighestTide(allData).toString());\n\t\t} catch (Exception e) {\n\t\t\tSystem.out.println(\"There was an error getting the highest tide\");\n\t\t\tSystem.out.println(e.getMessage());\n\t\t}\n\n\t\t//do some summary stats on each location:\n\t\ttry {\n\t\t\t//generate map of locations\n\t\t\tMap<String, String> locations = AnalysisMethods.getSitesMap(siteURL);\n\t\t\t//for each location,\n\t\t\tfor (Map.Entry<String, String> entry : locations.entrySet())\n\t\t\t{ \n\t\t\t\t//create instances of the implementations (Java does not support static methods in interfaces yet)\n\t\t\t\tMeanStat mean = new MeanStat();\n\t\t\t\tTidalRangeStat range = new TidalRangeStat();\n\t\t\t\t//intro line\n\t\t\t\tSystem.out.println(\"\\nFor: \"+entry.getValue());\n\t\t\t\t//methods subset the data and then perform their calculations.\n\t\t\t\tSystem.out.println(\"The mean sea level is: \"+ mean.statistic(allData, entry.getKey()));\n\t\t\t\tSystem.out.println(\"The tidal range is: \"+range.statistic(allData, entry.getKey()));\n\t\t\t}\n\t\t} catch (IOException e) {\n\t\t\tSystem.out.println(\"There was an error getting the site map\");\n\t\t\tSystem.out.println(e.getMessage());\n\t\t} catch (Exception e) {\n\t\t\tSystem.out.println(\"There was doing the stat analysis\");\n\t\t\tSystem.out.println(e.getMessage());\n\t\t}\n\t\t//Find highest surge\n\t\ttry {\n\t\t\tSystem.out.println(\"\\nThe highest surge was:\");\n\t\t\tSystem.out.println(AnalysisMethods.getHighestSurge(allData).toString());\n\t\t} catch (Exception e) {\n\t\t\tSystem.out.println(\"There was an error getting the surge\");\n\t\t\tSystem.out.println(e.getMessage());\n\t\t}\n\n\t\t//Part 3 data readin\n\t\ttry {\n\t\t\tSystem.out.println(\"Starting extra data read-in\");\n\t\t\tList<Tide> data2004 = AnalysisMethods.readInDataPart3(dataURLpart32004, siteURLpart3);\n\t\t\tSystem.out.println(\"Read in 2004\");\n\t\t\tList<Tide> data2005 = AnalysisMethods.readInDataPart3(dataURLpart32005, siteURLpart3);\n\t\t\tSystem.out.println(\"Read in 2005\");\n\t\t\tList<Tide> data2006 = AnalysisMethods.readInDataPart3(dataURLpart32006, siteURLpart3);\n\t\t\tSystem.out.println(\"Read in 2006\");\n\t\t\tallDataPart3.addAll(data2004);\n\t\t\tSystem.out.println(\"Added 2004 to extra data master list\");\n\t\t\tallDataPart3.addAll(data2005);\n\t\t\tSystem.out.println(\"Added 2005 to extra data master list\");\n\t\t\tallDataPart3.addAll(data2006);\n\t\t\tSystem.out.println(\"Added 2006 to extra data master list\");\n\t\t\tSystem.out.println(\"All extra data read in and combined.\");\n\t\t} catch (IOException e) {\n\t\t\tSystem.out.println(\"There was an error reading in the extra data\");\n\t\t\tSystem.out.println(e.getMessage());\n\t\t}\n\t\t//Part 3 data analysis\n\t\ttry {\n\t\t\tSystem.out.println(\"\\nThe largest surge in the extra data was:\");\n\t\t\tSystem.out.println(AnalysisMethods.getHighestSurge(allDataPart3).toString());\n\t\t} catch (Exception e) {\n\t\t\tSystem.out.println(\"There was an error getting the surge in the extra data\");\n\t\t\tSystem.out.println(e.getMessage());\n\t\t}\n\t}","title":""},{"docid":"232565543c7eccaa54e61223dbc9f175","score":"0.5777834","text":"public static void knn_classifier() {\n\t\t\ttry {\n\t\t\t\tDataset training_dataset = new Dataset(\"project_files/GFD/train\");\n\t\t\t\tDataset test_dataset = new Dataset(\"project_files/GFD/test/\");\t\n\t\t\t\t\n\t\t\t\t// Create the KNN\n\t\t\t\tint k = 3, p = 2; // for example\n\t\t\t\t\n\t\t\t\tKnnClassifier knn = new KnnClassifier(k, p);\n\t\t\t\tSystem.out.println(knn);\n\t\t\t\t\n\t\t\t\t// train it on train_set\n\t\t\t\tknn.train(training_dataset);\n\t\t\t\t\n\t\t\t\t// print the accuracies\n\t\t\t\tSystem.out.println(\"train acc = \" + knn.accuracy(training_dataset));\n\t\t\t\tSystem.out.println(\"test acc = \" + knn.accuracy(test_dataset));\n\t\t\t} catch (IOException e) {\n\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t}","title":""},{"docid":"658fa277ebfa901b808c4f1029db2591","score":"0.577747","text":"public void Run() {\n // Building training set\n JavaRDD<LabeledPoint> negativePoints = negativeLines.map(new LabeledPointCreater(0.0));\n JavaRDD<LabeledPoint> positivePoints = positiveLines.map(new LabeledPointCreater(1.0));\n JavaRDD<LabeledPoint> training = negativePoints.union(positivePoints);\n\n // Building test set\n JavaRDD<LabeledPoint> testnegativePoints = testnegativeLines.map(new LabeledPointCreater(0.0));\n JavaRDD<LabeledPoint> testpositivePoints = testpositiveLines.map(new LabeledPointCreater(1.0));\n JavaRDD<LabeledPoint> testing = testnegativePoints.union(testpositivePoints);\n\n NiaveBayesRun(training, testing);\n SVMRun(training, testing);\n }","title":""},{"docid":"0e743c50592b071408f74111e683fef2","score":"0.5771955","text":"public static void testHypothesesUsingTheTunedClassifier() {\r\n\r\n\t\tfor (String attrChoice : attributes) {\r\n//\t\t\tSystem.out.println(\"Attributes: \");\r\n\t\t\tSystem.out.println(attrChoice);\r\n\t\t\tSystem.out.println(\"======================================\");\r\n\r\n\t\t\tfor (String s : evaluations) {\r\n\r\n\t\t\t\tSystem.out.println(\"Evaluation: \" + s);\r\n\r\n\t\t\t\tdouble[] localPrecisionsArray = new double[guidelines.length];\r\n\r\n\t\t\t\tfor (int i = 0; i < guidelines.length; i++) {\r\n\r\n\t\t\t\t\tSystem.out.print(guidelines[i] +\": \");\r\n\r\n\t\t\t\t\ttry {\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\tRandomForest rf = new RandomForest();\r\n\t\t\t\t\t\trf.setMaxDepth(3);\r\n\t\t\t\t\t\trf.setNumTrees(26);\r\n\t\t\t\t\t\trf.setNumFeatures(9);\r\n\t\t\t\t\t\tlocalPrecisionsArray[i] = trainAClassifierOnADatasetThenTestOnAnotherDataset(\r\n\t\t\t\t\t\t\t\trf, \"hf2014\", guidelines[i], s, attrChoice);\r\n\t\t\t\t\t\t\r\n//\t\t\t\t\t\t// Without over-sampling approaches, the final classifier we identified is:\r\n//\t\t\t\t\t\t// NaiveBayes() without hyper parameter or cost matrix\r\n//\t\t\t\t\t\tlocalPrecisionsArray[i] = trainAClassifierOnADatasetThenTestOnAnotherDataset(\r\n//\t\t\t\t\t\t\t\tnew NaiveBayes(), \"hf2014\", guidelines[i], s, attrChoice);\r\n\t\t\t\t\t\t\r\n//\t\t\t\t\t\t// Without over-sampling approaches using the data set\r\n//\t\t\t\t\t\t// 15845 data points (no high impact journal feature), \r\n//\t\t\t\t\t\t// we found that the final classifier we identified is :\r\n//\t\t\t\t\t\t// logistic (default hyper parameters) + cost Matrix (20 to 2)\r\n//\t\t\t\t\t\tCostSensitiveClassifier costSensitiveClassifier = new CostSensitiveClassifier();\r\n//\t\t\t\t\t\tCostMatrix costMatrix = new CostMatrix(2);\r\n//\t\t\t\t\t\tcostMatrix.setCell(0, 1, 20.0d);\r\n//\t\t\t\t\t\tcostMatrix.setCell(1, 0, 2d);\t\t\t\t\t\r\n//\t\t\t\t\t\tcostSensitiveClassifier.setClassifier(new Logistic());\r\n//\t\t\t\t\t\tcostSensitiveClassifier.setCostMatrix(costMatrix);\t\t\t\t\t\t\r\n//\t\t\t\t\t\tlocalPrecisionsArray[i] = trainAClassifierOnADatasetThenTestOnAnotherDataset(\r\n//\t\t\t\t\t\t\t\tcostSensitiveClassifier, \"hf2014\", guidelines[i], s, attrChoice);\r\n\r\n\t\t\t\t\t\t////as a negative control to test whether cost matrix related codes work \r\n\t\t\t\t\t\t//trainAClassifierOnADatasetThenTestOnAnotherDataset(new Logistic(), \"hf2014\", \"MDD\", s, \"All_Attributes\");\r\n\t\t\t\t\t\t\r\n//\t\t\t\t\t\t// With oversampling approaches, the final classifier we identified is:\r\n//\t\t\t\t\t\t// BayesNet without hyper parameter or cost matrix\r\n//\t\t\t\t\t\tlocalPrecisionsArray[i] = trainAClassifierOnADatasetThenTestOnAnotherDataset(\r\n//\t\t\t\t\t\t\t\tnew BayesNet(), \"hf2014\", guidelines[i], s, attrChoice);\r\n\t\t\t\t\t\t//// localPrecisionsArray[i] =\r\n\t\t\t\t\t\t//// trainAClassifierOnADatasetThenTestOnAnotherDataset(new\r\n\t\t\t\t\t\t//// NaiveBayes(), \"hf2014\", guidelines[i], s,\r\n\t\t\t\t\t\t//// attrChoice);\r\n\t\t\t\t\t\t//// localPrecisionsArray[i] =\r\n\t\t\t\t\t\t//// trainAClassifierOnADatasetThenTestOnAnotherDataset(new\r\n\t\t\t\t\t\t//// NaiveBayesMultinomial(), \"hf2014\", guidelines[i], s,\r\n\t\t\t\t\t\t//// attrChoice);\r\n\r\n//\t\t\t\t\t\tSystem.out.println(\"From Array: \" + localPrecisionsArray[i]);\r\n//\t\t\t\t\t\tSystem.out.println();\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t} catch (Exception e) {\r\n\t\t\t\t\t\te.printStackTrace();\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\r\n\t\t\t\tStatistics sta = new Statistics(localPrecisionsArray);\r\n\t\t\t\t// // System.out.println(\"Mean: \" + sta.getMean());\r\n\t\t\t\t//// System.out.println(\"Top 10 precision statistics: \");\r\n\t\t\t\t//// System.out.print(\"Mean: \");\r\n\t\t\t\tSystem.out.printf(\"%3.2f\", sta.getMean());\r\n\t\t\t\tSystem.out.print(\"±\");\r\n\t\t\t\t// System.out.println(\" \");\r\n\r\n\t\t\t\t//\r\n\t\t\t\t// System.out.print(\"SD: \");\r\n\t\t\t\tSystem.out.printf(\"%3.2f\", sta.getStdDev());\r\n\t\t\t\t// System.out.print(\" \");\r\n\t\t\t\tSystem.out.println(\"\\n\");\r\n\t\t\t\t//\r\n\t\t\t\t//// System.out.println(\"Median: \" + sta.median() + \"\\n\\n\");\r\n\t\t\t\t// System.out.println(sta.median());\r\n\r\n\t\t\t\t// resetWeightedGuidelineArray(specificArray);\r\n\t\t\t}\r\n\t\t\tSystem.out.println();\r\n//\t\t\tSystem.out.println();\r\n\t\t\t// System.out.println(\"======================================\");\r\n\t\t}\r\n\r\n\t}","title":""},{"docid":"f4da63bcdc893079022064723d766a0d","score":"0.57711744","text":"public static void main(String[] args) throws IOException {\n \tfor(Integer id=1; id<=30; ++id)\n \t{\n\t \tString tt = id.toString() + \".txt\";\n\t \t\n\t \tsvm_scale s1= new svm_scale();\n\t \tString[] s1arg = {\"./datas/SVM/Train/TrainScale_\" + tt, \"./datas/SVM/Train/Train_\" + tt};\n\t \ts1.main(s1arg);\n\t \n\t svm_train t = new svm_train();\n\t String[] targ = { //\"-s\",\"0\",\"-t\",\"2\",\n\t \t\t\"-q\",\n\t \t\t\"./datas/SVM/Train/TrainScale_\" + tt, \n\t \"./datas/SVM/Model/Model_\" + tt };\n\t t.main(targ);\n\t \n\t svm_scale s2= new svm_scale();\n\t \tString[] s2arg = {\"./datas/SVM/Test/TestDataScale_\" + tt, \"./datas/SVM/Test/TestData_\" + tt};\n\t \ts2.main(s2arg);\n\t \n\t svm_predict p = new svm_predict();\n\t String[] parg = { \"./datas/SVM/Test/TestDataScale_\" + tt, \n\t \"./datas/SVM/Model/Model_\" + tt, \n\t \"./datas/SVM/Test/TestAnsw_\" + tt };\n\t p.main(parg); \n\t \n\t ret[id] = p.ret;\n \t}\n \tSystem.out.println();\n \tSystem.out.println();\n \tSystem.out.println();\n \tSystem.out.println();\n \tSystem.out.println();\n \tInteger[] tj = new Integer[11];\n \tfor(Integer i=0; i<=10; ++i)tj[i] = 0;\n \tInteger cnt = 0;\n \tfor(Integer id=1; id<=30; ++id)\n \t{\n \t\tSystem.out.println(\"ID : \" + id + \" RESULT : \" + ret[id]);\n \t\tfor(Integer i=1; i<=10; ++i)\n \t\t\tif(ret[id].contains(i.toString() + \"0.0%\"))\n \t\t\t{\n \t\t\t\tcnt ++;\n \t\t\t\ttj[i] ++;\n \t\t\t}\n \t}\n \ttj[0] = 30-cnt;\n \tfor(Integer i=0; i<=10; ++i)System.out.println(i.toString() + \"0.0%\" + \" : \" + tj[i]);\n }","title":""},{"docid":"e7963d2873067946ce4d9da405623c86","score":"0.57691354","text":"private double classify(Node node, double[] data) {\n // java does not implement tail call optimization therefore this should perform somewhat better than recursion\n while (!node.isDecisionNode()) {\n if (data[node.index] < node.value) {\n node = node.left;\n } else {\n node = node.right;\n }\n }\n return node.predictedClass;\n }","title":""},{"docid":"44acec031f7700558a39a59c3b2836f8","score":"0.57614946","text":"public void buildClassifier(Instances data) throws Exception {\n\t\tdata = new Instances(data);\n\t\tthis.makeTree(data);\n\t}","title":""},{"docid":"1013b8134061207503cdf1b4547e030d","score":"0.575958","text":"public final boolean classify()\n throws ClassificationException {\n try {\n int iFirstID = 0;\n int iSecondID = 0;\n\n restore();\n\n if (this.oIDs.size() == 0) {\n Debug.debug(\"RandomClassification.classify() --- ID set is of 0 length.\");\n\n this.oIDs.add(new Integer(iFirstID));\n\n this.oResultSet.addResult\n (\n iFirstID,\n 0,\n getClass().getName() +\n \" out of the blue\"\n );\n } else {\n // Collect for stats\n // XXX: Move to StatsCollector\n iFirstID = ((Integer) this.oIDs.elementAt((int) (this.oIDs.size() * (new Random().nextDouble())))).intValue();\n iSecondID = iFirstID;\n\n // Pick a different second best ID if there are > 1 IDs in there\n while (iSecondID == iFirstID && this.oIDs.size() > 1) {\n iSecondID = ((Integer) this.oIDs.elementAt((int) (this.oIDs.size() * (new Random().nextDouble())))).intValue();\n }\n\n // If they are still equal (in case of one ID in oIDs), just add one.\n if (iSecondID == iFirstID) {\n iSecondID++;\n }\n\n Debug.debug(\"RandomClassification.classify() --- ID1 = \" + iFirstID + \", ID2 = \" + iSecondID);\n\n this.oResultSet.addResult(iFirstID, 0, getClass().getName());\n this.oResultSet.addResult(iSecondID, 1, getClass().getName());\n }\n\n return true;\n } catch (StorageException e) {\n throw new ClassificationException(e);\n }\n }","title":""},{"docid":"7ecfdebb01cab8869de8c9c6d64b2efc","score":"0.57594043","text":"public static final void main (String args[]) throws Exception {\n\n\t\t/*\n\t\t * If we are given an argument, load a file and extract some info and exit.\n\t\t */\n\t\tif (args.length > 0) {\n\n\t\t\t//System.out.println(\"loading ...\");\n\t\t\tInstances D = new Instances(new BufferedReader(new FileReader(args[0])));\n\t\t\tint N = D.numInstances();\n\n\t\t\tint L = Integer.parseInt(Utils.getOption('C',MLUtils.getDatasetOptions(D)));\n\t\t\tD.setClassIndex(L);\n\n\t\t\tswitch(args[1].charAt(0)) {\n\n\t\t\t\tcase 'L' : System.out.println(L);\t\t\t\t\t\t\t// return the number of labels of D\n\t\t\t\t\t\t\tbreak;\n\t\t\t\tcase 'N' : System.out.println(D.numInstances());\t\t\t// return the number of Instances of D\n\t\t\t\t\t\t\tbreak;\n\t\t\t\tcase 'd' : System.out.println(D.numAttributes()-L);\t\t// reurns the number of (non-label) attributes of D\n\t\t\t\t\t\t\tbreak;\n\t\t\t\tcase 'A' : System.out.println(D.numAttributes());\t\t\t// returns the number of ALL attributes of D\n\t\t\t\t\t\t\tbreak;\n\t\t\t\tcase 'l' : System.out.println(MLUtils.labelCardinality(D));\t\t// reurns the label cardinalities\n\t\t\t\t\t\t\tbreak;\n\t\t\t\tcase 'P' : System.out.println(Arrays.toString(MLUtils.labelCardinalities(D)));\t\t// reurns the label cardinalities\n\t\t\t\t\t\t\tbreak;\n\t\t\t\tcase 'C' : System.out.println(hashMapToString(MLUtils.countCombinations(D,L)));\t\t// counts\n\t\t\t\t\t\t\tbreak;\n\t\t\t\tcase 'p' : System.out.println(\"collecting ...\");\n\t\t\t\t\t\t\tHashMap<LabelSet,Integer> hm = PSUtils.countCombinationsSparse(D,L);\n\t\t\t\t\t\t\tSystem.out.println(\"pruning ...\");\n\t\t\t\t\t\t\t//MLUtils.pruneCountHashMap(hm,1);\n\t\t\t\t\t\t\t//System.out.println(\"\"+hm);\n\t\t\t\t\t\t\tSystem.out.println(\"writing ...\");\n\t\t\t\t\t\t\tsaveObject(hm, \"hm-NEW.serialized\");\n\t\t\t\t\t\t\tbreak;\n\t\t\t\tdefault : \tSystem.out.println(MLUtils.getDatasetName(D));\t// returns the name of D\n\t\t\t\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\treturn;\n\t\t}\n\t\t/*\n\t\t * Else, just do some tests ...\n\t\t */\n\t\telse {\n\n\t\t\t// NEED THIS FOR SOME SCRIPTS\n\t\t\t/*\n\t\t\t String p[] = permute(args[0]);\n\t\t\t int i = 0;\n\t\t\t for(String s: p) {\n\t\t\t System.out.println(\"\"+(i++)+\" \"+s);\n\t\t\t }\n\t\t\t */\n\t\t\t//System.out.println(\"\"+Arrays.toString(invert(new int[]{1,2},6)));\n\t\t\t//System.out.println(\"\"+Arrays.toString(invert(new int[]{0,2},6)));\n\t\t\t//System.out.println(\"\"+Arrays.toString(invert(new int[]{5,2},6)));\n\t\t\treturn;\n\t\t}\n\t}","title":""},{"docid":"c2a4b361b21f5b18c4c47e3bd75396d4","score":"0.57387906","text":"boolean classify(DataPoint dp) throws Exception{\n\t\tInstance instance = datCreator.createTestInstance(dp);\n\t\treturn classifier.classifyInstance(instance) == 0.0;\t\n\t}","title":""},{"docid":"bf223a5e252b689ed390d326478c8fd7","score":"0.57241964","text":"@Override\n public ArchetypesAnalysisResult archetypesClassification(String shortLanguage) {\n String exportImagePath;\n\n if (System.getProperty(\"os.name\").startsWith(\"Windows\")) {\n exportImagePath = \"c:/var/webapp/\";\n } else {\n exportImagePath = \"/var/webapp/\";\n }\n\n ArchetypesAnalysis a =\n new ArchetypesAnalysis(exportImagePath,\n ArchetypesAnalysisCategories.G_R_V_L,\n sakaiProxy.getCurrentUserId(),\n projectLogic,\n shortLanguage\n );\n return a.benchmarkStudents();\n }","title":""},{"docid":"3714f169273c9b50a6125a1e435d1e4c","score":"0.57217914","text":"public static void main(String[] args) { SensitivityAnalysis analysis1 = new SensitivityAnalysis(\"data/SensitivityAnalysis/iTrust VSM Call.txt\");\n// SensitivityAnalysis analysis2 = new SensitivityAnalysis(\"data/SensitivityAnalysis/iTrust JS Call.txt\");\n\n// SensitivityAnalysis analysis3 = new SensitivityAnalysis(\"data/SensitivityAnalysis/iTrust VSM Data.txt\");\n// SensitivityAnalysis analysis4 = new SensitivityAnalysis(\"data/SensitivityAnalysis/iTrust JS Data.txt\");\n//\n// SensitivityAnalysis analysis5 = new SensitivityAnalysis(\"data/SensitivityAnalysis/Gantt VSM Call.txt\");\n// SensitivityAnalysis analysis6 = new SensitivityAnalysis(\"data/SensitivityAnalysis/Gantt JS Call.txt\");\n//\n SensitivityAnalysis analysis7 = new SensitivityAnalysis(\"data/SensitivityAnalysis/Gantt VSM Data.txt\");\n// SensitivityAnalysis analysis8 = new SensitivityAnalysis(\"data/SensitivityAnalysis/Gantt JS Data.txt\");\n }","title":""},{"docid":"d713b8c79029d8f24df3196f47a1d9e3","score":"0.5715874","text":"public static void main(String[] args ) throws Exception {\r\n\t\t\r\n\t\tif(args.length < 2) {\r\n\t\t\tSystem.out.println(\"Too little arguments\");\r\n\t\t\tSystem.exit(0);\r\n\t\t}\r\n\t\t\r\n\t\t// validation of smiles\r\n\t\t\r\n\t\tif(args[1] == \"ALL\") {\r\n\t\t\t// predict all transporter\r\n\t\t\t\r\n\t\t}\r\n\t\telse {\r\n\t\t\tString transporter_name = args[1];\r\n\t\t\tString input = args[0];\r\n\t\t\tInstances instance = generate_test_instance(input,\"substrate\");\r\n\t\t\tHashMap<String,String> result = run_classifier(instance,transporter_name,\"substrate\");\r\n\t\t\tfor (String key : result.keySet()) {\r\n\t\t\t\tString result_each = result.get(key).toString();\r\n\t\t\t\tString result_key = key;\r\n\t\t\t\tSystem.out.println(result_key +\":\"+ result_each);\r\n\t\t }\r\n\t\t}\r\n\t\t\r\n\t\t\r\n\t\t\r\n\t}","title":""},{"docid":"d17a7522cc50bb37eb026e1e7c7b2024","score":"0.57102334","text":"public static void main(String[] args){\n\t\t\r\n\t\tMap<String, List<Tuple>> trainingTuplesMap = new HashMap<String, List<Tuple>>();\r\n\t\t\r\n\t\t//This list will be used in Random Forest code\r\n\t\tList<Tuple> trainingTuplesList = new ArrayList<Tuple>();\r\n\t\t\r\n\t\tList<Tuple> testTuples = new ArrayList<Tuple>();\r\n\t\tSet<Integer> attributeSet = new HashSet<Integer>();\r\n\t\tBufferedReader bufferedReader = null;\r\n\t\ttry{\r\n\t\t\tFile file = new File(TRAINING_DATASET_LOCATION);\r\n\t\t\tbufferedReader = new BufferedReader(new FileReader(file));\t\r\n\t\t\twhile (bufferedReader.ready()) { \t\t\r\n\t \t\tString line=bufferedReader.readLine();\r\n\t \t\tif(line == null || line.equals(\"\")){\r\n\t \t\t\tcontinue;\r\n\t \t\t}\r\n\t \t\tTuple aTuple = new Tuple(line);\r\n\t \t\tSet<Integer> attributeSetForATuple = aTuple.getAttributeSet();\r\n\t \t\tattributeSet.addAll(attributeSetForATuple);\r\n\t \t\t\r\n\t \t\ttrainingTuplesList.add(aTuple);\r\n\t \t\t\r\n\t \t\t//Add into the training tuple map which has key as the label\r\n\t \t\tif(trainingTuplesMap.get(aTuple.getLabel()) == null){\r\n\t \t\t\ttrainingTuplesMap.put(aTuple.getLabel(), new ArrayList<Tuple>());\r\n\t \t\t\ttrainingTuplesMap.get(aTuple.getLabel()).add(aTuple);\r\n\t \t\t} else {\r\n\t \t\t\ttrainingTuplesMap.get(aTuple.getLabel()).add(aTuple);\r\n\t \t\t}\r\n\t \t}\t \t\r\n\t\t} catch(Exception e){\r\n\t\t\tthrow new RuntimeException(\"Exception Occured in reading training file.\", e);\r\n\t\t} finally {\r\n\t\t\ttry {\r\n\t\t\t\tbufferedReader.close();\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\t//Make a copy of attribute set as the generate decision tree method remove attributes from the set and we \r\n\t\t// have to use the attribute set for random forest\r\n\t\tSet<Integer> originalAttributeSet = new HashSet<Integer>(attributeSet);\r\n\t\t\t\r\n\t\t// Generate the decision tree using basic algorithm\r\n\t\tNode N = generateDecisionTree(trainingTuplesMap, attributeSet, false);\r\n//\t\tSystem.out.println(N);\r\n\t\t\r\n\t\t// Read the test dataset and its labels\r\n\t\tStringBuffer outputContent = new StringBuffer();\r\n\t\tdouble truePredections = 0;\r\n\t\tdouble falsePredections = 0;\r\n\t\tdouble totalInstances = 0;\r\n\t\tdouble TPCount = 0;\r\n\t\tdouble TNCount = 0;\r\n\t\tdouble FPCount = 0;\r\n\t\tdouble FNCount = 0;\r\n\t\t\r\n\t\tdouble PCount = 0;\r\n\t\tdouble NCount = 0;\r\n\t\t\r\n\t\tStringBuffer finalOutput = new StringBuffer();\r\n\t\ttry{\r\n\t\t\tFile file = new File(TEST_DATASET_LOCATION);\r\n\t\t\tbufferedReader = new BufferedReader(new FileReader(file));\t\r\n\t\t\tTuple tuple = null;\r\n\t\t\tString predictedLabel = null;\r\n\t\t\tboolean isLabelPredictionCorrect;\r\n\t\t\twhile (bufferedReader.ready()) { \t\t\r\n\t \t\tString line=bufferedReader.readLine();\r\n\t \t\tif(line == null || line.equals(\"\")){\r\n\t \t\t\tcontinue;\r\n\t \t\t}\r\n\t \t\ttuple = new Tuple(line);\r\n\t \t\ttestTuples.add(tuple);\r\n\t \t\toutputContent.append(line).append(\" -> \");\r\n\t \t\ttry{\r\n\t \t\t\tif(tuple.getLabel().equals(\"+1\")){\r\n\t \t\t\t\tPCount++;\r\n\t \t\t\t} else {\r\n\t \t\t\t\tNCount++;\r\n\t \t\t\t}\r\n\t \t\t\tpredictedLabel = predictClassForTuple(N, tuple);\r\n\t \t\t\tisLabelPredictionCorrect = predictedLabel.equals(tuple.getLabel());\r\n\t \t\t\tif(isLabelPredictionCorrect){\r\n\t \t\t\t\ttruePredections++;\r\n\t \t\t\t\tif(predictedLabel.equals(\"+1\")){\r\n\t \t\t\t\t\tTPCount++;\r\n\t \t\t\t\t} else {\r\n\t \t\t\t\t\tTNCount++;\r\n\t \t\t\t\t}\r\n\t \t\t\t} else {\r\n\t \t\t\t\tfalsePredections++;\r\n\t \t\t\t\tif(predictedLabel.equals(\"+1\")){\r\n\t \t\t\t\t\tFPCount++;\r\n\t \t\t\t\t} else {\r\n\t \t\t\t\t\tFNCount++;\r\n\t \t\t\t\t}\r\n\t \t\t\t}\r\n\t \t\t} catch(Exception e){\r\n//\t \t\t\tSystem.out.println(\"!!! Error - Exception occured. \"+e.getMessage());\r\n\t \t\t\tisLabelPredictionCorrect = false;\r\n\t \t\t\tfalsePredections++;\r\n\t \t\t}\r\n\t \t\t\r\n\t \t\t\r\n\t \t\toutputContent.append(isLabelPredictionCorrect);\r\n\t \t\toutputContent.append(System.getProperty(\"line.separator\"));\r\n\t \t\t\r\n\t \t}\t\r\n\t\t\ttotalInstances = testTuples.size();\r\n\t\t\t\r\n\t\t\tdouble accuracy = (truePredections *100)/totalInstances;\r\n\t\t\tdouble errorRate = falsePredections / totalInstances;\r\n\t\t\tdouble sensitivity = TPCount/(PCount);\r\n\t\t\tdouble speficity = TNCount / (NCount);\r\n\t\t\tdouble recall = TPCount / (TPCount+FNCount);\r\n\t\t\tdouble precision = TPCount / (TPCount + FPCount);\r\n\t\t\t\r\n\t\t\t\r\n\t\t\tdouble F1 = (2*precision*recall) / (precision + recall);\r\n\t\t\tdouble FB0Half = ((1+ (0.5 * 0.5 ))* precision * recall) / (((0.5 * 0.5 )*precision) + recall);\r\n\t\t\t\r\n\t\t\tdouble FB2 = ((1+ (2 * 2 ))* precision * recall) / (((2 * 2 )*precision) + recall);\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"Total instances: \").append(totalInstances).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"True predictions: \").append(truePredections).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"False predictions: \").append(falsePredections).append(System.getProperty(\"line.separator\"));\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"PCount: \").append(PCount).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"NCount: \").append(NCount).append(System.getProperty(\"line.separator\"));\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"TPCount: \").append(TPCount).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"TNCount\").append(TNCount).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"FPCount\").append(FPCount).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"FNCount\").append(FNCount).append(System.getProperty(\"line.separator\"));\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"Accuracy: \").append(accuracy).append(\"%\").append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"Error Rate: \").append(errorRate).append(System.getProperty(\"line.separator\"));\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"sensitivity: \").append(sensitivity).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"speficity: \").append(speficity).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"precision: \").append(precision).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"recall: \").append(recall).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"F1: \").append(F1).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"FB0Half: \").append(FB0Half).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"FB2: \").append(FB2).append(System.getProperty(\"line.separator\")).append(System.getProperty(\"line.separator\"));\r\n\t\t\t\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"***********************************\").append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(outputContent);\r\n\t\t\t\r\n\t\t\tSystem.out.println(finalOutput);\r\n\t\t\t\r\n\t\t\twriteIntoFile(Main.OUTPUT_BASIC_FILE_NAME, finalOutput.toString());\r\n\t\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t} catch(Exception e){\r\n\t\t\tthrow new RuntimeException(\"Exception Occured in reading test file.\", e);\r\n\t\t} finally {\r\n\t\t\ttry {\r\n\t\t\t\tbufferedReader.close();\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\t\t/**\r\n\t\t * Random Forest method as the ensembel version of the classification method starts here\r\n\t\t */\r\n\t\t// Create k number of samples from training Set D of same size by sampling with replacement\r\n\t\tMap[] sampleTrainingTupleSets = new Map[Main.K + 1];\r\n\t\tNode[] decisionTrees = new Node[Main.K + 1];\r\n\t\tRandom rand = new Random();\r\n\t\t\r\n\t\tfor(int i = 0 ; i < Main.K; i++){\r\n\t\t\tMap<String, List<Tuple>> Di = new HashMap<String, List<Tuple>>();\r\n\t\t\tfor(int j = 0; j < trainingTuplesList.size(); j++){\r\n\t\t\t\t// nextInt excludes the top value so we should pass the training tuple list size.\r\n\t\t\t\t// if size is 100 then the nextInt method can return any value from 0 to 99 (including 0 and 99)\r\n\t\t\t\tTuple t = trainingTuplesList.get(rand.nextInt(trainingTuplesList.size()));\r\n\t\t\t\t//Add into the training tuple map which has key as the label\r\n\t \t\tif(Di.get(t.getLabel()) == null){\r\n\t \t\t\tDi.put(t.getLabel(), new ArrayList<Tuple>());\r\n\t \t\t\tDi.get(t.getLabel()).add(t);\r\n\t \t\t} else {\r\n\t \t\t\tDi.get(t.getLabel()).add(t);\r\n\t \t\t}\r\n\t\t\t}\r\n\t\t\tsampleTrainingTupleSets[i] = Di;\r\n\t\t\tSet attributeList = new HashSet(originalAttributeSet);\r\n\t\t\tSystem.out.println(\"Generating deciosion tree for Di. i = \"+i);\r\n\t\t\tdecisionTrees[i] = generateDecisionTree(Di, attributeList, true);\r\n\t\t}\r\n\t\tSystem.out.println(\"Created decisionTrees\");\r\n\t\tSystem.out.println(\"Now reading test data\");\r\n\t\t// Read the test dataset and its labels\r\n\t\toutputContent = new StringBuffer();\r\n\t\ttruePredections = 0;\r\n\t\tfalsePredections = 0;\r\n\t\ttotalInstances = 0;\r\n\t\t\r\n\t\tTPCount = 0;\r\n\t\tTNCount = 0;\r\n\t\tFPCount = 0;\r\n\t\tFNCount = 0;\r\n\t\tPCount = 0;\r\n\t\tNCount = 0;\r\n\t\t\r\n\t\ttestTuples = new ArrayList<Tuple>();\r\n\t\t\r\n\t\tfinalOutput = new StringBuffer();\r\n\t\ttry{\r\n\t\t\tFile file = new File(TEST_DATASET_LOCATION);\r\n\t\t\tbufferedReader = new BufferedReader(new FileReader(file));\t\r\n\t\t\tTuple tuple = null;\r\n\t\t\tString predictedLabel = null;\r\n\t\t\tboolean isLabelPredictionCorrect;\r\n\t\t\twhile (bufferedReader.ready()) { \t\t\r\n\t \t\tString line=bufferedReader.readLine();\r\n\t \t\tif(line == null || line.equals(\"\")){\r\n\t \t\t\tcontinue;\r\n\t \t\t}\r\n\t \t\ttuple = new Tuple(line);\r\n\t \t\tif(tuple.getLabel().equals(\"+1\")){\r\n \t\t\t\tPCount++;\r\n \t\t\t} else {\r\n \t\t\t\tNCount++;\r\n \t\t\t}\r\n\t \t\t\r\n\t \t\ttestTuples.add(tuple);\r\n\t \t\toutputContent.append(line).append(\" -> \");\r\n\t \t\ttry{\r\n\t \t\t\t//Maintains vote count for each class\r\n\t \t\t\tMap<String, Integer> voteMap = new HashMap<String, Integer>();\r\n\t \t\t\tfor(Node aDecisionTree : decisionTrees){\r\n\t \t\t\t\ttry{\r\n\t \t\t\t\t\t\r\n\t \t\t\t\t\tpredictedLabel = predictClassForTuple(aDecisionTree, tuple);\r\n\t \t\t\t\t\tif(voteMap.get(predictedLabel) == null){\r\n\t\t \t\t\t\t\tvoteMap.put(predictedLabel, 1);\r\n\t\t \t\t\t\t} else {\r\n\t\t \t\t\t\t\tvoteMap.put(predictedLabel, voteMap.get(predictedLabel)+1);\r\n\t\t \t\t\t\t}\r\n\t \t\t\t\t} catch(Exception e){\r\n\t \t\t\t\t\t//TODO: Handle exception\r\n\t \t\t\t\t\t\r\n\t \t\t\t\t}\r\n\t \t\t\t}\r\n\t \t\t\tString majorityClass = null;\r\n\t \t\t\tint majorityClassVoteCount = 0;\r\n\t \t\t\tfor(String C : voteMap.keySet()){\r\n\t \t\t\t\tif(majorityClass == null){\r\n\t \t\t\t\t\tmajorityClass = C;\r\n\t \t\t\t\t\tmajorityClassVoteCount = voteMap.get(C);\r\n\t \t\t\t\t} else if(majorityClassVoteCount < voteMap.get(C)){\r\n\t \t\t\t\t\tmajorityClass = C;\r\n\t \t\t\t\t\tmajorityClassVoteCount = voteMap.get(C);\r\n\t \t\t\t\t}\r\n\t \t\t\t}\r\n\t \t\t\tpredictedLabel = majorityClass;\r\n\t \t\t\t\r\n\t \t\t\tisLabelPredictionCorrect = predictedLabel.equals(tuple.getLabel());\r\n\t \t\t\tif(isLabelPredictionCorrect){\r\n\t \t\t\t\ttruePredections++;\r\n\t \t\t\t\tif(predictedLabel.equals(\"+1\")){\r\n\t \t\t\t\t\tTPCount++;\r\n\t \t\t\t\t} else {\r\n\t \t\t\t\t\tTNCount++;\r\n\t \t\t\t\t}\r\n\t \t\t\t} else {\r\n\t \t\t\t\tfalsePredections++;\r\n\t \t\t\t\tif(predictedLabel.equals(\"+1\")){\r\n\t \t\t\t\t\tFPCount++;\r\n\t \t\t\t\t} else {\r\n\t \t\t\t\t\tFNCount++;\r\n\t \t\t\t\t}\r\n\t \t\t\t}\r\n\t \t\t} catch(Exception e){\r\n//\t \t\t\tSystem.out.println(\"!!! Error - Exception occured. \"+e.getMessage());\r\n\t \t\t\tisLabelPredictionCorrect = false;\r\n\t \t\t\tfalsePredections++;\r\n\t \t\t}\r\n\t \t\t\r\n\t \t\t\r\n\t \t\toutputContent.append(isLabelPredictionCorrect);\r\n\t \t\toutputContent.append(System.getProperty(\"line.separator\"));\r\n\t \t\t\r\n\t \t}\t\r\n\t\t\ttotalInstances = testTuples.size();\r\n\t\t\t\r\n\t\t\tdouble accuracy = (truePredections *100)/totalInstances;\r\n\t\t\tdouble errorRate = falsePredections / totalInstances;\r\n\t\t\tdouble sensitivity = TPCount/(PCount);\r\n\t\t\tdouble speficity = TNCount / (NCount);\r\n\t\t\tdouble precision = TPCount / (TPCount + FPCount);\r\n\t\t\tdouble recall = TPCount / (TPCount+FNCount);\r\n\t\t\t\r\n\t\t\tdouble F1 = (2*precision*recall) / (precision + recall);\r\n\t\t\tdouble FB0Half = ((1+ (0.5 * 0.5 ))* precision * recall) / (((0.5 * 0.5 )*precision) + recall);\r\n\t\t\t\r\n\t\t\tdouble FB2 = ((1+ (2 * 2 ))* precision * recall) / (((2 * 2 )*precision) + recall);\r\n\t\t\t\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"Total instances: \").append(totalInstances).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"True predictions: \").append(truePredections).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"False predictions: \").append(falsePredections).append(System.getProperty(\"line.separator\"));\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"PCount: \").append(PCount).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"NCount: \").append(NCount).append(System.getProperty(\"line.separator\"));\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"Accuracy: \").append(accuracy).append(\"%\").append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"Error Rate: \").append(errorRate).append(System.getProperty(\"line.separator\"));\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"sensitivity: \").append(sensitivity).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"speficity: \").append(speficity).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"precision: \").append(precision).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"recall: \").append(recall).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"F1: \").append(F1).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"FB0Half: \").append(FB0Half).append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(\"FB2: \").append(FB2).append(System.getProperty(\"line.separator\")).append(System.getProperty(\"line.separator\"));\r\n\t\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\tfinalOutput.append(\"***********************************\").append(System.getProperty(\"line.separator\"));\r\n\t\t\tfinalOutput.append(outputContent);\r\n\t\t\t\r\n\t\t\tSystem.out.println(finalOutput);\r\n\t\t\t\r\n\t\t\twriteIntoFile(Main.OUTPUT_ENSEMBLE_FILE_NAME, finalOutput.toString());\r\n\t\t} catch(Exception e){\r\n\t\t\tthrow new RuntimeException(\"Exception Occured in reading test file.\", e);\r\n\t\t} finally {\r\n\t\t\ttry {\r\n\t\t\t\tbufferedReader.close();\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\t}","title":""},{"docid":"f4988e4410a8e31fb1b3f984fcc328ef","score":"0.5704189","text":"public static void main(String[] args) throws Exception {\n\t\tString crawlStorageFolder = \"/Users/meena/CSCI_Information_Retrieval/HW2/data/crawl\";\r\n\t\tint numberOfCrawlers = 7;\r\n\t\t\r\n\t\tString fetchCSV = \"fetch_CNN.csv\";\r\n\t\tString visitCSV = \"visit_CNN.csv\";\r\n\t\tString urlsCSV = \"urls_CNN.csv\";\r\n\t\t\r\n\t\tCSVWriter fetchWriter = new CSVWriter(new FileWriter(fetchCSV));\r\n\t\tCSVWriter visitWriter = new CSVWriter(new FileWriter(visitCSV));\r\n\t\tCSVWriter urlsWriter = new CSVWriter(new FileWriter(urlsCSV));\r\n\t\t\r\n\t\tString[] fetchRecord = {\"URL\", \"Status_Code\"};\r\n\t\tString[] visitRecord = {\"URL\", \"Size\", \"Number of outlinks\", \"Content Type\"};\r\n\t\tString[] urlRecord = {\"Encoutered URL\", \"Consideration Status\"};\r\n\t\t\r\n\t\tfetchWriter.writeNext(fetchRecord);\r\n\t\tfetchWriter.close();\r\n\t\t\r\n\t\tvisitWriter.writeNext(visitRecord);\r\n\t\tvisitWriter.close();\r\n\t\t\r\n\t\turlsWriter.writeNext(urlRecord);\r\n\t\turlsWriter.close();\r\n\t\t\r\n\t\tCrawlConfig config = new CrawlConfig();\r\n\t\tconfig.setCrawlStorageFolder(crawlStorageFolder);\r\n\t\tconfig.setMaxDepthOfCrawling(16);\r\n\t\tconfig.setMaxPagesToFetch(20000);\r\n\t\tconfig.setIncludeHttpsPages(true);\r\n\t\tconfig.setIncludeBinaryContentInCrawling(true);\r\n\t\t\r\n\t\tPageFetcher pageFetcher = new PageFetcher(config);\r\n\t\tRobotstxtConfig robotstxtConfig = new RobotstxtConfig();\r\n\t\tRobotstxtServer robotstxtServer = new RobotstxtServer(robotstxtConfig, pageFetcher);\r\n\t\tCrawlController controller = new CrawlController(config, pageFetcher, robotstxtServer);\r\n\t\t\r\n\t\tcontroller.addSeed(\"https://www.cnn.com/\");\r\n\t\t\r\n\t\tcontroller.start(MyCrawler.class, numberOfCrawlers);\r\n\t}","title":""},{"docid":"d401536aa8099acdfb729a6b2e4d2d1f","score":"0.5702164","text":"@Test\n @Category(TestCategories.Report.class)\n public void sentiment_analysis_decision_tree() throws IOException {\n try (NotebookOutput log = MarkdownNotebookOutput.get(this)) {\n log.h1(\"Sentiment Analysis using a Decision Tree\");\n int testingSize = 1000;\n int trainingSize = 50000;\n log.p(\"First, we cache positive and negative sentiment tweets into two seperate models\");\n List<TweetSentiment> tweetsPositive = log.code(() -> {\n ArrayList<TweetSentiment> list = new ArrayList<>(TweetSentiment.load()\n .filter(x -> x.category == 1).limit(testingSize + trainingSize).collect(Collectors.toList()));\n Collections.shuffle(list);\n return list;\n });\n List<TweetSentiment> tweetsNegative = log.code(() -> {\n ArrayList<TweetSentiment> list = new ArrayList<>(TweetSentiment.load()\n .filter(x -> x.category == 0).limit(testingSize + trainingSize).collect(Collectors.toList()));\n Collections.shuffle(list);\n return list;\n });\n Function<String, Map<String, Double>> rule = log.code(() -> {\n HashMap<String, List<String>> map = new HashMap<>();\n map.put(\"Positive\", tweetsPositive.stream().limit(trainingSize).map(x -> x.getText()).collect(Collectors.toList()));\n map.put(\"Negative\", tweetsNegative.stream().limit(trainingSize).map(x -> x.getText()).collect(Collectors.toList()));\n return new ClassificationTree().setVerbose(System.out).categorizationTree(map, 32);\n });\n TableOutput table = new TableOutput();\n log.code(() -> {\n return tweetsPositive.stream().skip(trainingSize).map(x -> x.getText()).mapToDouble(str -> {\n Map<String, Double> prob = rule.apply(str);\n HashMap<String, Object> row = new LinkedHashMap<>();\n row.put(\"Category\", \"Positive\");\n row.put(\"Prediction\", prob.entrySet().stream().max(Comparator.comparing(x -> x.getValue())).get().getKey());\n prob.forEach((category, count) -> row.put(category + \"%\", count * 100));\n row.put(\"Text\", str);\n table.putRow(row);\n return prob.getOrDefault(\"Positive\", 0.0) < 0.5 ? 0.0 : 1.0;\n }).average().getAsDouble() * 100.0 + \"%\";\n });\n log.code(() -> {\n return tweetsNegative.stream().skip(trainingSize).map(x -> x.getText()).mapToDouble(str -> {\n Map<String, Double> prob = rule.apply(str);\n HashMap<String, Object> row = new LinkedHashMap<>();\n row.put(\"Category\", \"Negative\");\n row.put(\"Prediction\", prob.entrySet().stream().max(Comparator.comparing(x -> x.getValue())).get().getKey());\n prob.forEach((category, count) -> row.put(category + \"%\", count * 100));\n row.put(\"Text\", str);\n table.putRow(row);\n return prob.getOrDefault(\"Negative\", 0.0) < 0.5 ? 0.0 : 1.0;\n }).average().getAsDouble() * 100.0 + \"%\";\n });\n //log.p(table.toTextTable());\n }\n }","title":""},{"docid":"8c7354194fc36c1f5eb9c111d915c151","score":"0.5699693","text":"public static void runAnalysis() {\n\n //Confused users are exposed to a different version than their own\n int confused = userGraph.countConfused();\n\n int total = userGraph.users.size();\n\n //Happy users are not confused\n int happy = userGraph.countClassrooms(true);\n\n int unhappy = userGraph.countClassrooms(false);\n\n int infected = userGraph.countInfected();\n\n double fracConfused = ((double)confused / (double)total);\n\n System.out.println();\n System.out.println(infected + \" users are now infected\");\n userGraph.printInfected();\n System.out.println();\n System.out.println(\"There are \" + total + \" users in this graph\");\n System.out.println(confused + \" are confused\");\n System.out.println(String.format(\"%.2f\", fracConfused) + \"% of the graph is confused\");\n System.out.println(\"There are \" + happy + \" happy classrooms in the graph\");\n System.out.println(\"There are \" + unhappy + \" unhappy classroms in the graph\");\n }","title":""},{"docid":"066076579910383e32b64606f9927667","score":"0.5698593","text":"private void printClassifiedData(Instances labeled) {\r\n\t\tCSVSaver csvSaver = new CSVSaver();\r\n\t\ttry {\r\n\t\t\tcsvSaver.setFile(new File(m_hwrConfig.get_output_dir() + File.separator\r\n\t\t\t\t\t+m_hwrConfig.get_classifier_name()+\"_classified_data.csv\"));\r\n\t\t\tcsvSaver.setInstances(labeled);\r\n\t\t\tcsvSaver.writeBatch();\r\n\t\t} catch (IOException e) {\r\n\t\t\tm_logger.error(\"Error occurred while printing classified data\", e);\r\n\t\t}\r\n\r\n\t}","title":""},{"docid":"91a9fa63131989a4ae5a3b2845b9658f","score":"0.5694285","text":"public String classify(SoybeanData[] trainData, int[] test) {\r\n double[] C = new double[4];\r\n SoybeanData[][] train = separateByClass(trainData);\r\n\r\n for (int i= 0; i< C.length; i++) {\r\n double product= 1;\r\n double[][] trainedData = train(train[i]);\r\n for (int j= 0; j< numFeatures; j++) {\r\n product *= trainedData[j][test[j]];\r\n }\r\n C[i]= probOfClass[i] * product;\r\n }\r\n\r\n //return argmax (this could be done cleaner)\r\n if (C[0] > C[1] && C[0] > C[2] && C[0] > C[3]) {\r\n return \"D1\";\r\n }\r\n else if (C[1] > C[0] && C[1] > C[2] && C[1] > C[3]) {\r\n return \"D2\";\r\n }\r\n else if (C[2] > C[0] && C[2] > C[1] && C[2] > C[3]) {\r\n return \"D3\";\r\n }\r\n else {\r\n return \"D4\";\r\n }\r\n }","title":""},{"docid":"2838c93bfe636d9771924e4d3bf68edf","score":"0.56941974","text":"@Override\n public void buildClassifier(Instances data) throws Exception {\n\n // can classifier handle the data?\n getCapabilities().testWithFail(data);\n\n // remove instances with missing class\n data = new Instances(data);\n \n Default default_data = computeDefaultValue(data);\n makeTree(data, default_data, null);\n myC45 finalTree = new myC45();\n //finalTree = this;\n //finalTree = pruneTree(finalTree);\n //copy(finalTree);\n }","title":""},{"docid":"5a1384b90b3d0adbcb3f5982bb7a19ca","score":"0.56825286","text":"public static void main(String[] args) {\n\t\t\n\t\tList<String> list = new ArrayList<String>();\n\t\tlist.add(\"C:\\\\Users\\\\Administrator\\\\Desktop\\\\DB\\\\hazelcast_559\");\n\t\t//list.add(\"I:\\\\EEEEEEEEEEclipse\\\\DataCrawler\\\\src\\\\main\\\\java\\\\githubCrawler\\\\GitCrawler.java\");\n\t\tMetrcis3 codeAnalysis = new Metrcis3();\n\t\t//codeAnalysis.commentRatio(list);\n\t\t//codeAnalysis.commentMethod(list);\n\t\t//codeAnalysis.classLen(list);\n\t\t//codeAnalysis.funcLen(list);\n\t\t//codeAnalysis.blankB4cmt(list);\n\t\t//codeAnalysis.blankAfterCmt(list);\n\t\t//codeAnalysis.blankBetweenCAndC(list);\n\t\ttry {\n\t\t\tSystem.out.println(codeAnalysis.getMetrics3Result(list));\n\t\t} catch (Exception e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\t}","title":""},{"docid":"c05e8cf9e7eb875be3c562c8aaf6e559","score":"0.5678303","text":"public RunStats run (Classifier classifier){\n\t\tRunStats stats= new RunStats();\n\t\tif (hasLoadedData){\n\t\t\tpartitionData(); //Randomly partitions the data according to the partitionPercentage variable\n\t\t\tlatestResults=classifier.classify(trainingData, testingData); //Stores the latest results\n\t\t\tstats.calculateRunStats(latestResults, testingData); //Calculates the stats\n\t\t}\n\t\treturn stats; //Returns the stats\n\t}","title":""},{"docid":"be4732f731fd8b1dba951bbe3cfce162","score":"0.56724054","text":"public void classify(String state);","title":""},{"docid":"d52c53bcf22082cef013f88e3c0bb55e","score":"0.5668271","text":"public double[][] train(SoybeanData[] classSpecificData) {\r\n int[][] count = new int[35][7];\r\n double[][] model = new double[35][7];\r\n for (SoybeanData data : classSpecificData) {\r\n if (data != null) {\r\n for (int i = 0; i < numFeatures; i++) {\r\n int[] attributeData = data.getFeatures();\r\n int attr = attributeData[i];\r\n\r\n for (int j = 0; j < numFeatures; j++) {\r\n if (attr == j) {\r\n count[i][j]++;\r\n }\r\n }\r\n }\r\n }\r\n }\r\n for (int i= 0; i< numFeatures; i++) {\r\n for (int j= 0; j< 7; j++) {\r\n model[i][j] = (double)count[i][j] / (classSpecificData.length + numFeatures);//<-- making denominator smaller = worse accuracy on c3 ?!\r\n }\r\n// System.out.println(Arrays.toString(model[i]));\r\n }\r\n\r\n return model;\r\n }","title":""},{"docid":"0736c8e59dfb3944e595eec0d02720a2","score":"0.56666696","text":"public static void compare_multiple_classifiers_with_k_fold() {\n\t\t\t\n\t\t\ttry {\n\t\t\t\t// load the dataset\n\t\t\t\tDataset dataset = new Dataset(\"project_files/E34\");\n\t\t\t\tSystem.out.println(dataset);\n\t\t\t\t\n\t\t\t\t// create the list of classifiers, must use the type AbstractClassifier, to gather the different\n\t\t\t\t// classifiers in one list\n\t\t\t\t\n\t\t\t\tList<AbstractClassifier> classifiers_list = new ArrayList<>();\n\t\t\t\t\n\t\t\t\t// for example, we'll compare knn, Kmeans and Kmeans++\n\t\t\t\tclassifiers_list.add(new KnnClassifier(1, 1));\n\t\t\t\tclassifiers_list.add(new KmeansClassifier(9, 4, 100, \"enhanced_random\"));\n\t\t\t\tclassifiers_list.add(new KmeansClassifier(9, 2));\n\t\t\t\t\n\t\t\t\t// define your k value\n\t\t\t\tint k = 3; // if you want to perform leave one out -> k = dataset.size()\n\t\t\t\t\n\t\t\t\t// want details ?\n\t\t\t\tboolean verbose = true, shuffle = true;\n\t\t\t\t\n\t\t\t\t// save accuracies into a list\n\t\t\t\tList<CrossValEntry> accuracies = Evaluation.cross_validation(classifiers_list, dataset, k, shuffle, verbose);\n\t\t\t} catch (IOException e) {\n\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t}","title":""},{"docid":"9807b399e58f53b0376f9965e99a016d","score":"0.5657438","text":"public void condensedTrainClassify(ArrayList<double[]> trainingData, String distanceMethod, int[] categoricalFeatures) {\r\n\t\tSystem.out.println(\"------CONDENSED TRAINING-----\");\r\n\t\tArrayList<double[]> currentModel = new ArrayList<double[]>();\r\n\t\tCollections.shuffle(trainingData);\r\n\t\tcurrentModel.add(trainingData.get(0));\r\n\t\tfor(int sample=1;sample<trainingData.size();sample++) {\r\n\t\t\tSystem.out.println(\"Prediction for: \" + trainingData.get(sample)[0]);\r\n\t\t\tint predictedClass = knnClassifyPoint(currentModel,trainingData.get(sample),1,distanceMethod,categoricalFeatures);\r\n\t\t\tSystem.out.println(\"PREDICTED: \" + predictedClass + \", ACTUAL: \" + trainingData.get(sample)[0]);\r\n\t\t\tif (predictedClass != (int)trainingData.get(sample)[0]) {\r\n\t\t\t\tSystem.out.println(\"Sample misclassifed; added to condensed kNN model\\n\");\r\n\t\t\t\tcurrentModel.add(trainingData.get(sample));\r\n\t\t\t}\r\n\t\t}\r\n\t\tthis.trainedModel = currentModel;\r\n\t}","title":""},{"docid":"7794de0525d83ceae2dfe1518d446799","score":"0.5647207","text":"public static void main(String[] args) throws IOException {\n\n File InputFile = new ClassPathResource(\"IrdologyCholesterolClassification\").getFile();\n\n IrdologyIterator iterator = new IrdologyIterator();\n iterator.setup(InputFile, height, width, nChannels, batchSize, nClasses);\n\n DataSetIterator trainIter = iterator.getTrain();\n testIter = iterator.getTest();\n label = trainIter.getLabels();\n\n // If model does not exist, train the model, else directly go to model evaluation and then run real time object detection inference.\n if (modelFilename.exists()) {\n\n // STEP 2 : Load trained model from previous execution\n Nd4j.getRandom().setSeed(seed);\n log.info(\"Load model...\");\n model = ModelSerializer.restoreComputationGraph(modelFilename);\n\n } else {\n Nd4j.getRandom().setSeed(seed);\n// INDArray priors = Nd4j.create(priorBoxes);\n\n // STEP 2 : Train the model using Transfer Learning\n // STEP 2.1: Transfer Learning steps - Load TinyYOLO prebuilt model.\n log.info(\"Build model...\");\n ComputationGraph pretrained = (ComputationGraph) VGG16.builder().build().initPretrained();\n\n // STEP 2.2: Transfer Learning steps - Model Configurations.\n FineTuneConfiguration fineTuneConf = getFineTuneConfiguration();\n\n // STEP 2.3: Transfer Learning steps - Modify prebuilt model's architecture\n model = getComputationGraph(pretrained, fineTuneConf);\n System.out.println(model.summary(InputType.convolutional(height, width, nClasses)));\n\n // STEP 2.4: Training and Save model.\n log.info(\"Train model...\");\n// UIServer server = UIServer.getInstance();\n StatsStorage storage = new InMemoryStatsStorage();\n// server.attach(storage);\n model.setListeners(new ScoreIterationListener(1), new StatsListener(storage));\n\n for (int i = 1; i < epochs + 1; i++) {\n trainIter.reset();\n while (trainIter.hasNext()) {\n model.fit(trainIter.next());\n }\n log.info(\"*** Completed epoch {} ***\", i);\n }\n ModelSerializer.writeModel(model, modelFilename, true);\n System.out.println(\"Model saved.\");\n }\n // STEP 3: Evaluate the model's accuracy by using the test iterator.\n evaluate();\n\n \n\n }","title":""},{"docid":"723d43644ec846b61cc96a06b1591303","score":"0.5644574","text":"@Override\n\tpublic void buildClassifier(IDataSet instances) throws Exception {\n\n\t\tclassifier.buildClassifier(instances.getDataset());\n\t\tSystem.out.println(classifier.toString());\n\t}","title":""},{"docid":"2aa49f2cc9c537ad2112889a57ed2a1d","score":"0.56394327","text":"public static void main(String[] args) {\n\n\t\tCrossValidation crv = new CrossValidation();\n\t\t//\t\t\tdriver.readTrainingFile(\"sample_train.txt\");\n\t\tcrv.readTrainingFile(\"sample_test.txt\");\n\t\tcrv.readTestFile(\"sample2\");\n\t\tint[][] res;\n\t\tArrayList scr=scores;\n\t\tres=crv.matrixOutput(\"sample2\",scr);\n\t\tcrv.displayMatrix(res);\n\t}","title":""},{"docid":"18648ce7851c4117a2fae6b58920beb3","score":"0.56228805","text":"public List<ClassificationDataSet> trainC(final ClassificationDataSet data, Set<Integer> options, boolean parallel) {\n if (predicting == null)\n throw new RuntimeException(\"Predicting value has not been set\");\n\n catAttributes = data.getCategories();\n numNumericFeatures = data.getNumNumericalVars();\n final ImpurityScore origScoreObj = getClassGainScore(data);\n double origScore = origScoreObj.getScore();\n\n if (origScore == 0.0 || data.size() < minResultSplitSize * 2)// Then all data points belond to the same category!\n {\n results = new CategoricalResults[1];// Only one path!\n results[0] = new CategoricalResults(predicting.getNumOfCategories());\n results[0].setProb(data.getDataPointCategory(0), 1.0);\n pathRatio = new double[] { 0 };\n List<ClassificationDataSet> toReturn = new ArrayList<>();\n toReturn.add(data);\n return toReturn;\n }\n\n /**\n * The splitting for the split on the attribute with the best gain\n */\n final List<ClassificationDataSet> bestSplit = Collections.synchronizedList(new ArrayList<>());\n /**\n * best gain in information we have seen so far\n */\n final AtomicDouble bestGain = new AtomicDouble(-1);\n final DoubleArrayList bestRatio = new DoubleArrayList();\n /**\n * The best attribute to split on\n */\n splittingAttribute = -1;\n final CountDownLatch latch = new CountDownLatch(options.size());\n\n final ThreadLocal<ClassificationDataSet> localList = ThreadLocal.withInitial(() -> data.shallowClone());\n\n ExecutorService ex = parallel ? ParallelUtils.CACHED_THREAD_POOL : new FakeExecutor();\n for (final int attribute_to_consider : options) {\n ex.submit(() -> {\n try {\n ClassificationDataSet DPs = localList.get();\n int attribute = attribute_to_consider;\n final double[] gainRet = new double[] { Double.NaN };\n gainRet[0] = Double.NaN;\n List<ClassificationDataSet> aSplit;\n KeyValue<DoubleList, IntList> tmp = null;// Used on numerical attributes\n\n ImpurityScore[] split_scores = null;// used for cat\n double weightScale = 1.0;\n\n if (attribute < catAttributes.length)// Then we are doing a categorical split\n {\n // Create a list of lists to hold the split variables\n aSplit = listOfLists(data, catAttributes[attribute].getNumOfCategories());\n split_scores = new ImpurityScore[aSplit.size()];\n for (int i = 0; i < split_scores.length; i++)\n split_scores[i] = new ImpurityScore(predicting.getNumOfCategories(), gainMethod);\n\n IntArrayList wasMissing = new IntArrayList();\n double missingSum = 0.0;\n // Now seperate the values in our current list into their proper split bins\n for (int i = 0; i < data.size(); i++) {\n int val = data.getDataPoint(i).getCategoricalValue(attribute);\n double weight = data.getWeight(i);\n if (val >= 0) {\n aSplit.get(val).addDataPoint(data.getDataPoint(i), data.getDataPointCategory(i), weight);\n split_scores[val].addPoint(weight, data.getDataPointCategory(i));\n } else {\n wasMissing.add(i);\n missingSum += weight;\n }\n\n }\n\n int pathsTaken = 0;\n for (ClassificationDataSet split : aSplit)\n if (split.size() > 0)\n pathsTaken++;\n if (pathsTaken <= 1)// not a good path, avoid looping on this junk. Can be caused by missing data\n {\n latch.countDown();\n return;\n }\n\n if (missingSum > 0)// move missing values into others\n {\n double newSum = (origScoreObj.getSumOfWeights() - missingSum);\n weightScale = newSum / origScoreObj.getSumOfWeights();\n double[] fracs = new double[split_scores.length];\n for (int i = 0; i < fracs.length; i++)\n fracs[i] = split_scores[i].getSumOfWeights() / newSum;\n\n distributMissing(aSplit, fracs, data, wasMissing);\n }\n } else// Spliting on a numerical value\n {\n attribute -= catAttributes.length;\n int N = predicting.getNumOfCategories();\n\n // Create a list of lists to hold the split variables\n aSplit = listOfLists(data, 2);// Size at least 2\n split_scores = new ImpurityScore[2];\n tmp = createNumericCSplit(DPs, N, attribute, aSplit, origScoreObj, gainRet, split_scores);\n if (tmp == null) {\n latch.countDown();\n return;\n }\n\n // Fix it back so it can be used below\n attribute += catAttributes.length;\n }\n\n // Now everything is seperated!\n double gain;// = Double.isNaN(gainRet[0]) ? : gainRet[0];\n if (!Double.isNaN(gainRet[0]))\n gain = gainRet[0];\n else {\n if (split_scores == null)\n split_scores = getClassGainScore(aSplit);\n gain = ImpurityScore.gain(origScoreObj, weightScale, split_scores);\n }\n\n if (gain > bestGain.get()) {\n synchronized (bestRatio) {\n if (gain > bestGain.get())// double check incase changed\n {\n bestGain.set(gain);\n splittingAttribute = attribute;\n bestSplit.clear();\n bestSplit.addAll(aSplit);\n bestRatio.clear();\n\n double sum = 1e-8;\n for (int i = 0; i < split_scores.length; i++) {\n sum += split_scores[i].getSumOfWeights();\n bestRatio.add(split_scores[i].getSumOfWeights());\n }\n for (int i = 0; i < split_scores.length; i++)\n bestRatio.set(i, bestRatio.getDouble(i) / sum);\n\n if (attribute >= catAttributes.length) {\n boundries = tmp.getKey();\n owners = tmp.getValue();\n }\n }\n }\n }\n\n latch.countDown();\n } catch (Exception easx) {\n easx.printStackTrace();\n System.out.println();\n }\n });\n }\n\n try {\n latch.await();\n } catch (InterruptedException ex1) {\n Logger.getLogger(DecisionStump.class.getName()).log(Level.SEVERE, null, ex1);\n throw new FailedToFitException(ex1);\n }\n\n if (splittingAttribute == -1)// We could not find a good split at all\n {\n bestSplit.clear();\n bestSplit.add(data);\n CategoricalResults badResult = new CategoricalResults(data.getPriors());\n results = new CategoricalResults[] { badResult };\n pathRatio = new double[] { 1 };\n return bestSplit;\n }\n if (splittingAttribute < catAttributes.length || removeContinuousAttributes)\n options.remove(splittingAttribute);\n results = new CategoricalResults[bestSplit.size()];\n pathRatio = new DenseVector(bestRatio.elements(), 0, bestRatio.size()).arrayCopy();\n for (int i = 0; i < bestSplit.size(); i++)\n results[i] = new CategoricalResults(bestSplit.get(i).getPriors());\n\n return bestSplit;\n }","title":""},{"docid":"0e9bd673f8282056b9afbcb11e0749be","score":"0.56204534","text":"public double classify(DoubleData dObj)\n {\n \tfor (Rule r : m_Rules)\n {\n if (r.matches(dObj))\n {\n m_nNoOfMatchesWithRules++;\n return r.getDecision();\n }\n }\n return m_DecisionAttribute.globalValueCode(m_nMajorityDecision);\n }","title":""},{"docid":"759c5d99f0cac05a1d672860c54d754e","score":"0.56116235","text":"public static void main(String[] args) {\n //TreeFactory tf = new LabeledScoredTreeFactory();\n Tree stringyTree = null;\n try {\n stringyTree = (new PennTreeReader(new StringReader(\"(S (VP (VBZ Try) (NP (DT this))) (. .))\"), new LabeledScoredTreeFactory(new StringLabelFactory()))).readTree();\n } catch (IOException e) {\n // do nothing\n }\n System.out.println(stringyTree);\n Function<Tree, Tree> a = getLabeledTreeToCategoryWordTagTreeFunction();\n Tree adaptyTree = a.apply(stringyTree);\n System.out.println(adaptyTree);\n adaptyTree.percolateHeads(new CollinsHeadFinder());\n System.out.println(adaptyTree);\n\n Function<Tree, Tree> b = getLabeledTreeToStringLabeledTreeFunction();\n Tree stringLabelTree = b.apply(adaptyTree);\n System.out.println(stringLabelTree);\n\n }","title":""}],"string":"[\n {\n \"docid\": \"9eaca866b200a8fb45ea7b6d92939634\",\n \"score\": \"0.76579756\",\n \"text\": \"public void classifyData() throws HWRException {\\r\\n\\t\\tm_logger.debug(\\\"Enter classifyData()\\\");\\r\\n\\t\\t// 1.Read Data\\r\\n\\t\\tpreProcess();\\r\\n\\r\\n\\t\\t// 2.Build Classifier ( Train )\\r\\n\\t\\tm_logger.debug(\\\"Training the classifier.....\\\");\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tm_Classifier.buildClassifier(m_TrainingData);\\r\\n\\t\\t} catch (Exception e) {\\r\\n\\t\\t\\tm_logger.error(\\\"Exception caught while building classifier\\\", e);\\r\\n\\t\\t\\tthrow new HWRException(\\\"Exception caught while building classifier\\\");\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tm_logger.debug(\\\"Classifier.....Trained Successfully...Classifying data\\\");\\r\\n\\r\\n\\t\\t// 3.Classify Test data\\r\\n\\t\\tInstances xClassifiedData = new Instances(m_TestData);\\r\\n\\t\\tdouble[] xObtainedClassLabels = new double[m_TestData.numInstances()];\\r\\n\\t\\tfor (int i = 0; i < m_TestData.numInstances(); i++) {\\r\\n\\t\\t\\ttry {\\r\\n\\t\\t\\t\\txObtainedClassLabels[i] = m_Classifier\\r\\n\\t\\t\\t\\t\\t\\t.classifyInstance(m_TestData.instance(i));\\r\\n\\t\\t\\t} catch (Exception e) {\\r\\n\\t\\t\\t\\tm_logger.error(\\\"Error caught while classifying the instance:\\\"\\r\\n\\t\\t\\t\\t\\t\\t+ m_TestData.instance(i));\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\txClassifiedData.instance(i).setClassValue(\\r\\n\\t\\t\\t\\t\\t(int) xObtainedClassLabels[i]);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// 4.Prints the classified information\\r\\n\\t\\tprintClassifiedData(xClassifiedData);\\r\\n\\t\\tprintClassifiedData(xObtainedClassLabels);\\r\\n\\r\\n\\t\\t// 5. Evaluate ( 10 Fold Cross Validation\\r\\n\\t\\tEvaluation xEvalutionResult = evaluate();\\r\\n\\t\\tprintEvaluationResult(xEvalutionResult);\\r\\n\\t\\tm_logger.debug(\\\"Exit classifyData()\\\");\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a4bad7e8b983645019dc0f052301dbb\",\n \"score\": \"0.7393909\",\n \"text\": \"public void classify(){\\n svmRun(trainingDatPath, trainingModelPath, testingDatPath, predictionsPath, predictionsResultPath);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ecbb2deb713b5d5608b5d1df2702add1\",\n \"score\": \"0.70751816\",\n \"text\": \"public static void main(String[] args) throws IOException, IllegalArgumentException{\\n Pair<DenseMatrixSet<Double>, List<Integer>> data = DataSetLoader.loadIrisDataSet();\\n\\n KNNClassifier<Double, DenseMatrixSet<Double>,\\n EuclideanVectorCalculator<Double>,\\n ClassificationVoter> classifier = new KNNClassifier<Double, DenseMatrixSet<Double>,\\n EuclideanVectorCalculator<Double>, ClassificationVoter>(2, false);\\n\\n classifier.setDistanceCalculator(new EuclideanVectorCalculator<Double>());\\n classifier.setMajorityVoter(new ClassificationVoter());\\n\\n\\n classifier.train(data.first, data.second);\\n\\n List<Pair<Integer, Integer>> results = new ArrayList<>();\\n\\n for(int rowIdx=0; rowIdx<data.first.m(); ++rowIdx){\\n\\n IVector<Double> row = data.first.getRow(rowIdx);\\n Integer classIdx = data.second.get(rowIdx);\\n\\n Integer predictedIdx = classifier.predict(row);\\n results.add(PairBuilder.makePair(classIdx, predictedIdx ));\\n }\\n\\n List<String> names = new ArrayList<>();\\n\\n names.add(\\\"Iris-setosa\\\");\\n names.add(\\\"Iris-versicolor\\\");\\n names.add(\\\"Iris-virginica\\\");\\n\\n ConfusionMatrix confusionMatrix = new ConfusionMatrix(results, names);\\n System.out.println(confusionMatrix.toString());\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a40e23df80d017c9307b6602f7047de6\",\n \"score\": \"0.70692825\",\n \"text\": \"ClassifierResult classify(String text);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"05f64240ef42c5a7fd273c05b01d4bf2\",\n \"score\": \"0.69267935\",\n \"text\": \"private RunClassifier() {}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"931f1297291f2edd4220f5127511d699\",\n \"score\": \"0.6844671\",\n \"text\": \"public static void main(String[] args) throws InterruptedException, IOException {\\n \\t\\n \\tSystem.out.println(\\\"Dataset: \\\" + dataSet.getName());\\n \\t\\n// \\tSystem.out.println(\\\"Optimal Bayesian Classifier\\\\n\\\");\\n// \\ttestClassifier(new OptimalBayesianClassifier(), dataSet);\\n \\t\\n// \\tSystem.out.println(\\\"Naive Bayesian Classifier\\\\n\\\");\\n// \\ttestClassifier(new NaiveBayesClassifier(), dataSet);\\n \\t\\n \\tSystem.out.println(\\\"Linear Classifier\\\\n\\\");\\n \\ttestClassifier(new LinearClassifier(), dataSet);\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c009be3a4f71a946d5e1240523d95308\",\n \"score\": \"0.68200916\",\n \"text\": \"private static void classify(Params params) throws SAXException {\\n List<WordBag> bags = tp.labeledSeriesToWordBags(trainData, params);\\n // getting TFIDF done\\n HashMap<String, HashMap<String, Double>> tfidf = tp.computeTFIDF(bags);\\n // classifying\\n int testSampleSize = 0;\\n int positiveTestCounter = 0;\\n for (String label : tfidf.keySet()) {\\n List<double[]> testD = testData.get(label);\\n for (double[] series : testD) {\\n positiveTestCounter = positiveTestCounter\\n + tp.classify(label, series, tfidf, params);\\n testSampleSize++;\\n }\\n }\\n\\n // accuracy and error\\n double accuracy = (double) positiveTestCounter / (double) testSampleSize;\\n double error = 1.0d - accuracy;\\n\\n // report results\\n System.out.println(\\\"classification results: \\\" + toLogStr(params, accuracy, error));\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87480d8d96882f010fa5957ee875a2b5\",\n \"score\": \"0.67771643\",\n \"text\": \"public void classifyData(String testFile, String classifiedFile) throws IOException {\\n\\t\\tScanner inFile = new Scanner(new File(testFile));\\n\\t\\tPrintWriter outFile = new PrintWriter(new FileWriter(classifiedFile));\\n\\n\\t\\t// read number of records\\n\\t\\tint numberRecords = inFile.nextInt();\\n\\n\\t\\t// for each record\\n\\t\\tfor (int i = 0; i < numberRecords; i++) {\\n\\t\\t\\t// create attribute array\\n\\t\\t\\tint[] attributeArray = new int[numberAttributes];\\n\\n\\t\\t\\t// read attributes\\n\\t\\t\\tfor (int j = 0; j < numberAttributes; j++) {\\n\\t\\t\\t\\tattributeArray[j] = inFile.nextInt();\\n\\t\\t\\t}\\n\\n\\t\\t\\t// find class of attributes\\n//\\t\\t\\tint className = classify(attributeArray);\\n\\t\\t\\tNode found = classifyGetNode(attributeArray);\\n\\n\\t\\t\\toutFile.println(\\\"Class: \\\" + found.className \\n\\t\\t\\t\\t\\t\\t\\t+ \\\"\\\\tConfidence Fraction of Records in Leaf: \\\" + String.format(\\\"%.2f\\\", found.confidenceRec)\\n\\t\\t\\t\\t\\t\\t\\t+ \\\"\\\\n\\\\t\\\\tConfidence Fraction of Majority in Leaf: \\\" + String.format(\\\"%.2f\\\", found.confidenceMaj));\\n\\t\\t\\t\\n\\t\\t\\tSystem.out.println(\\\"Class: \\\" + found.className \\n\\t\\t\\t\\t\\t+ \\\"\\\\tConfidence Fraction of Records in Leaf: \\\" + String.format(\\\"%.2f\\\", found.confidenceRec)\\n\\t\\t\\t\\t\\t+ \\\"\\\\n\\\\t\\\\tConfidence Fraction of Majority in Leaf: \\\" + String.format(\\\"%.2f\\\", found.confidenceMaj));\\n\\t\\t}\\n\\n\\t\\tinFile.close();\\n\\t\\toutFile.close();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d43f011f7145e72ec70c5b5a261f8047\",\n \"score\": \"0.6754953\",\n \"text\": \"public static void main(String[] args) throws Exception {\\r\\n // load data\\r\\n // 1. training data\\r\\n\\tString trainDataPath = args[0];\\r\\n Instances train = DataSource.read(trainDataPath);\\r\\n//\\tInstances train = new Instances(new BufferedReader(new FileReader(args[0])));\\r\\n train.setClassIndex(train.numAttributes() - 1);\\r\\n //測試Accuracy\\r\\n Evaluation eval = null;\\r\\n \\r\\n \\r\\n // 2. testing unlabeled data\\r\\n String testPath = args[1];\\r\\n Instances testAll = DataSource.read(testPath);\\r\\n \\r\\n // 3. outputPath\\r\\n String outputPath = args[2];\\r\\n \\r\\n //set classifier\\r\\n String classifier = args[3];\\r\\n Classifier cls = null;\\r\\n\\t// train classifier\\r\\n\\tswitch(classifier){\\r\\n\\t\\tcase \\\"weka.classifiers.trees.J48\\\":\\r\\n\\t\\t\\tSystem.out.println(\\\"weka.classifiers.trees.J48\\\");\\r\\n\\t\\t\\tcls = new J48();\\r\\n\\t\\t\\tbreak;\\r\\n\\t\\tcase \\\"weka.classifiers.rules.PART\\\":\\r\\n\\t\\t\\tcls = new PART();\\r\\n\\t\\t\\tbreak;\\r\\n\\t\\tcase \\\"weka.classifiers.rules.JRip\\\":\\r\\n\\t\\t\\tcls = new JRip();\\r\\n\\t\\t\\tbreak;\\r\\n\\t\\tcase \\\"weka.classifiers.bayes.NaiveBayes\\\":\\r\\n\\t\\t\\tcls = new NaiveBayes();\\r\\n\\t\\t\\tbreak;\\r\\n\\t}\\r\\n \\r\\n //set sliding window size\\r\\n int swSize = Integer.parseInt(args[4]);\\r\\n\\r\\n // build classifier\\r\\n cls.buildClassifier(train);\\r\\n //將model output到檔案裏頭\\r\\n FileWriter fwriter = null;\\r\\n int inputFileLen = trainDataPath.split(\\\"/\\\").length;\\r\\n String fileName = trainDataPath.split(\\\"/\\\")[inputFileLen-1].split(\\\"\\\\\\\\.\\\")[0];\\r\\n String filePath = outputPath + \\\"/\\\" + \\\"model/\\\"\\r\\n \\t\\t+ fileName + \\\"_model_\\\" + classifier + \\\".txt\\\";\\r\\n File saveFile = new File(filePath);\\r\\n FileOutputStream fout = new FileOutputStream(saveFile, true);\\r\\n BufferedWriter bw = new BufferedWriter(new OutputStreamWriter(fout));\\r\\n bw.flush();\\r\\n bw.write(cls.toString());\\r\\n bw.flush();\\r\\n bw.close();\\r\\n fout.close(); \\r\\n \\r\\n// Instances unlabeled = new Instances(new BufferedReader(new FileReader(args[1])));\\r\\n Instances testlabeled = new Instances(testAll);\\r\\n testlabeled.delete();\\r\\n Instances testUnlabeled = new Instances(testAll);\\r\\n testUnlabeled.delete();\\r\\n \\r\\n for(int i=0;i<testAll.numInstances();i++){\\r\\n \\t//測試Accuracy用,放在for迴圈裏頭每次重新計算\\r\\n eval = new Evaluation(train);\\r\\n\\r\\n \\tif(i<=swSize-1){\\r\\n\\t\\t\\t// initial testing sliding window\\r\\n \\t\\ttestlabeled.add(testAll.instance(i));\\r\\n \\t\\ttestUnlabeled.add(testAll.instance(i));\\t\\t\\t\\t\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\telse{\\r\\n\\t\\t\\ttestlabeled.delete(0);\\r\\n\\t\\t\\ttestlabeled.add(testAll.instance(i));\\r\\n\\t\\t\\ttestUnlabeled.delete(0);\\r\\n\\t\\t\\ttestUnlabeled.add(testAll.instance(i));\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\ttestlabeled.setClassIndex(train.numAttributes() - 1);\\r\\n\\t\\ttestUnlabeled.setClassIndex(train.numAttributes() - 1);\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\teval.evaluateModel(cls, testlabeled);\\r\\n\\t\\t\\r\\n\\t\\t//get Accuracy\\r\\n\\t\\tString result = eval.toSummaryString(\\\"\\\\nResults\\\\n======\\\\n\\\", false);\\r\\n\\t\\t\\r\\n\\t\\tString patternStr = \\\"Correctly Classified Instances.*%\\\";\\r\\n\\t\\tPattern pattern = Pattern.compile(patternStr);\\r\\n\\t\\tMatcher matcher = pattern.matcher(result);\\r\\n\\t\\tboolean matchFound = matcher.find();\\r\\n\\t\\tString accuracyLine;\\r\\n\\t\\tif(matchFound) {\\r\\n\\t\\t\\taccuracyLine = matcher.group(0);\\r\\n\\t\\t\\tpatternStr = \\\" {14}.* %\\\";\\r\\n\\t\\t\\tpattern = Pattern.compile(patternStr);\\r\\n\\t\\t\\tmatcher = pattern.matcher(accuracyLine.toString());\\r\\n\\t\\t\\tmatchFound = matcher.find();\\r\\n\\t\\t\\tif(matchFound){\\r\\n\\t\\t\\t\\tchar data[] = new char[102400];\\r\\n\\t\\t\\t\\tFileReader freader = null;\\r\\n\\t\\t\\t\\tint num;//檔案長度\\r\\n\\t\\t\\t\\tString str = \\\"\\\";//原本檔案裏頭的內容\\r\\n\\t\\t\\t\\t//根據data名稱的writer\\r\\n\\t\\t\\t\\tfwriter = null;\\r\\n\\t\\t\\t\\tinputFileLen = testPath.split(\\\"/\\\").length;\\r\\n\\t\\t\\t\\tfileName = testPath.split(\\\"/\\\")[inputFileLen-1].split(\\\"\\\\\\\\.\\\")[0];\\r\\n\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\tinputFileLen = testPath.split(\\\"/\\\").length;\\r\\n//\\t\\t\\t\\tString testFile = testPath.split(\\\"/\\\")[inputFileLen-1].split(\\\"\\\\\\\\.\\\")[0];\\r\\n//\\t\\t\\t\\tString[] name = testFile.split(\\\"_\\\");\\r\\n//// \\t\\tint nameLen = testPath.split(\\\"/\\\").length;\\r\\n//\\t\\t\\t\\tfileName = \\\"\\\";\\r\\n//\\t\\t\\t\\tfor(int j=0;j<name.length-2;j++){\\r\\n//\\t\\t\\t\\t\\tif(j!=0)\\r\\n//\\t\\t\\t\\t\\t\\tfileName+=\\\"_\\\";\\r\\n//\\t\\t\\t\\t\\tfileName+= name[j];\\r\\n//\\t\\t\\t\\t}\\r\\n// \\t\\tfileName = testPath.split(\\\"/\\\")[inputFileLen-1].split(\\\"\\\\\\\\.\\\")[0];\\r\\n\\t\\t\\t\\tfilePath = outputPath + \\\"/\\\" + \\\"AccuracySet_\\\"+classifier+\\\"/\\\"\\r\\n\\t\\t\\t\\t\\t\\t+ fileName + \\\"_SlidingWindow_Accuracy.csv\\\";\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tsaveFile = new File(filePath);\\r\\n\\t\\t\\t\\tif(saveFile.exists()){\\t//若檔案存在\\r\\n\\t\\t\\t\\t\\tfreader= new FileReader(filePath);\\r\\n\\t\\t\\t\\t\\tnum = freader.read(data);\\r\\n\\t\\t\\t\\t\\tif(num>0)\\r\\n\\t\\t\\t\\t\\t\\tstr = new String(data,0,num); \\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//寫檔\\r\\n\\t\\t\\t\\t\\tfwriter = new FileWriter(saveFile);\\r\\n\\t\\t\\t\\t\\tString Accuracy_s = matcher.group(0).toString();\\r\\n\\t\\t\\t\\t\\tString Accuracy_s1 = Accuracy_s.split(\\\"%\\\")[0];\\r\\n\\t\\t\\t\\t\\tdouble Accuracy = Double.parseDouble(Accuracy_s1);\\r\\n\\t\\t\\t\\t\\tString fileWriteContent = Accuracy/100 + \\\"\\\\n\\\";\\r\\n\\t\\t\\t\\t\\tif(num>0)\\r\\n\\t\\t\\t\\t\\t\\tfwriter.write(str + fileWriteContent);\\r\\n\\t\\t\\t\\t\\telse\\r\\n\\t\\t\\t\\t\\t\\tfwriter.write(fileWriteContent);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse{\\r\\n\\t\\t\\t\\t\\tfwriter = new FileWriter(saveFile);\\r\\n\\t\\t\\t\\t\\tString Accuracy_s = matcher.group(0).toString();\\r\\n\\t\\t\\t\\t\\tString Accuracy_s1 = Accuracy_s.split(\\\"%\\\")[0];\\r\\n\\t\\t\\t\\t\\tdouble Accuracy = Double.parseDouble(Accuracy_s1);\\r\\n\\t\\t\\t\\t\\tfwriter.write( Accuracy/100 + \\\",\\\");\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tfwriter.close();\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t// make sure that data is compatible\\r\\n\\t\\tif (!train.equalHeaders(testlabeled))\\r\\n\\t\\t\\tthrow new IllegalStateException(\\\"Training data and testlabeled data are incompatible!\\\");\\r\\n\\t\\tif (!train.equalHeaders(testUnlabeled))\\r\\n\\t\\t\\tthrow new IllegalStateException(\\\"Training data and testUnlabeled data are incompatible!\\\");\\t\\t\\r\\n\\t\\t// make sure that class values are missing\\r\\n\\t\\tfor (int j = 0; j < testUnlabeled.numInstances(); j++)\\r\\n\\t\\t\\ttestUnlabeled.instance(j).setClassValue(Instance.missingValue());\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n//\\t\\tString predictionPath = outputPath + \\\"/testingDataPredicted/\\\" + ;\\r\\n\\t\\t\\r\\n\\t\\tString predictionPath = outputPath + \\\"/\\\" + \\\"testingDataPredicted/\\\" + classifier + \\\"/\\\"\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t+ fileName + \\\"_time_\\\" + i + \\\".arff\\\";\\r\\n\\t\\t// write predictions\\r\\n\\t\\twritePredictions(cls, testUnlabeled, predictionPath);\\r\\n }\\r\\n \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"874874f176949ab4ed7593565e178a2b\",\n \"score\": \"0.67220795\",\n \"text\": \"public static void main(String[] args) throws Exception{\\n\\t\\tFile f = new File(\\\"/home/manoel/wekafiles/Time/data/yu/continuous/\\\");\\r\\n\\t\\tString [] listaArquivos = f.list(); //vetor de arquivos\\r\\n\\t\\tSystem.out.println(\\\"Dataset,Classifier,Accuracy\\\");\\r\\n\\t\\tString [] projects = null;\\r\\n\\t\\t\\r\\n\\t\\tint [] cls = retornaClassificadores(); //Retorna os classificadores\\r\\n\\t\\tfor(int j=0;j<cls.length;j++){\\r\\n\\t\\t\\tfor(int a=0;a<listaArquivos.length;a++){ //arquivos do diretorio\\r\\n\\t\\t\\t\\tInstances instances = lerArquivo(f.toString()+\\\"/\\\"+listaArquivos[a]); //quantidade de tuplas de cada arquivo\\r\\n\\t\\t\\t\\tinstances.setClassIndex(instances.numAttributes() - 1); //classe\\r\\n\\t\\t\\t\\t//Split Train and Test=================================================================================\\r\\n\\t\\t\\t\\tint totalInstances = instances.numInstances(); \\r\\n\\t\\t\\t\\tdouble test = 1.0; //Tamanho das bases de Teste\\r\\n\\t\\t\\t\\tint firstTrain = 10; //Tamanho das bases de Treino\\r\\n\\t\\t\\t\\tdouble [] soma = new double[5];\\r\\n\\t\\t\\t\\tdouble [] media = new double[5];\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tdouble [][] m = null;//matrizes de confusão\\r\\n\\t\\t\\t\\tdouble [][] n = null;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tint count = 0;\\r\\n\\t\\t\\t\\tint windowTest = (int) (totalInstances * test / 100);\\r\\n\\t\\t\\t\\tint windowTrain = (int) (totalInstances * firstTrain / 100);\\r\\n\\t\\t\\t\\tint trainSizeInicio = 0;\\r\\n\\t\\t\\t\\tdouble [] acc = new double[(totalInstances/windowTest)-firstTrain];\\r\\n\\t\\t\\t\\tint window = (int) (windowTest);\\r\\n\\t\\t\\t\\tdouble somaR2 = 0;\\r\\n\\t\\t\\t\\tfor(int w=windowTrain;w<=totalInstances-windowTest;w+=window){\\r\\n\\t\\t\\t\\t\\tArrayList<Double> acc1 = new ArrayList<Double>();\\r\\n\\t\\t\\t\\t\\tArrayList<Double> acc2 = new ArrayList<Double>();\\r\\n\\t\\t\\t\\t\\tArrayList<Double> acc3 = new ArrayList<Double>();\\r\\n\\t\\t\\t\\t\\tArrayList<Double> acc4 = new ArrayList<Double>();\\r\\n\\t\\t\\t\\t\\tArrayList<Double> acc5 = new ArrayList<Double>();\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\ttrainSizeInicio = w-windowTrain;//comentar essa linha para acumular o treino \\r\\n\\t\\t\\t\\t\\tInstances trainInstances = new Instances(instances, trainSizeInicio, windowTrain);//testando w no lugar de windowTrain para acumular o treino \\r\\n\\t\\t\\t\\t\\tInstances testInstances = new Instances(instances, w, windowTest); \\r\\n\\t\\t\\t\\t\\tInstances instancesTemp = new Instances(instances, trainSizeInicio, (windowTest+windowTest));\\r\\n\\t\\t\\t\\t\\ttrainInstances.setClassIndex(trainInstances.numAttributes() - 1); \\r\\n\\t\\t\\t\\t\\ttestInstances.setClassIndex(testInstances.numAttributes() - 1);\\r\\n\\t\\t\\t\\t\\t//caracteristicas da base======================================================================\\r\\n\\t\\t\\t\\t\\tint[] distClasses = instancesTemp.attributeStats(instancesTemp.classIndex()).nominalCounts;//vetor com as quantidades de cada classe da base\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//int numClasses = distClasses.length;\\r\\n//\\t\\t\\t\\t\\tArrays.sort(distClasses); //ordena o vetor das quantidades para imprimir as classes majoritarias\\r\\n//\\t\\t\\t\\t\\tmatrizProb = new String[distClasses.length][2];\\r\\n//\\t\\t\\t\\t\\tdouble [] top = new double[distClasses.length];\\r\\n\\t\\t\\t\\t\\t//tipo de arquivo\\r\\n\\t\\t\\t\\t\\tif(listaArquivos[a].contains(\\\".csv\\\"))\\r\\n\\t\\t\\t\\t\\t\\tprojects = listaArquivos[a].split(\\\".csv\\\");\\r\\n\\t\\t\\t\\t\\telse\\r\\n\\t\\t\\t\\t\\t\\tprojects = listaArquivos[a].split(\\\".arff\\\");\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//classificador\\r\\n\\t\\t\\t\\t\\tClassifier classifier = retornaClassificador(cls[j]);\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//Normalização para IBK\\r\\n\\t\\t\\t\\t\\tif(cls[j]==4){\\r\\n\\t\\t\\t\\t\\t\\tNormalize norm = new Normalize();\\r\\n\\t\\t\\t\\t\\t\\tclassifier.getCapabilities();\\r\\n\\t\\t\\t\\t\\t\\tnorm.setInputFormat(trainInstances);\\r\\n\\t\\t\\t\\t\\t\\tnorm.setInputFormat(testInstances);\\r\\n\\t\\t\\t\\t\\t\\ttrainInstances=Normalize.useFilter(trainInstances, norm);\\r\\n\\t\\t\\t\\t\\t\\ttestInstances=Normalize.useFilter(testInstances, norm);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t/*\\r\\n\\t\\t\\t\\t\\t//InfoGain para discretização\\r\\n\\t\\t\\t\\t\\tAttributeSelection infoGain = infoGainD();\\r\\n\\t\\t\\t\\t\\tinfoGain.SelectAttributes(trainInstances);\\r\\n\\t\\t\\t\\t\\t//atributos com infogain maior que zero\\r\\n\\t\\t\\t\\t\\tint [] attributes = infoGain.selectedAttributes();\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//Discretização supervisionada\\r\\n\\t\\t\\t\\t\\tDiscretize discSuper = new Discretize();\\r\\n\\t\\t\\t\\t\\tdiscSuper.setUseBetterEncoding(true);\\r\\n\\t\\t\\t\\t\\tdiscSuper.setAttributeIndicesArray(attributes);\\r\\n\\t\\t\\t\\t\\tdiscSuper.setInputFormat(trainInstances);\\r\\n\\t\\t\\t\\t\\ttrainInstances = Filter.useFilter(trainInstances, discSuper);\\r\\n\\t\\t\\t\\t\\ttestInstances = Filter.useFilter(testInstances, discSuper);\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//Discretização não supervisionada\\r\\n\\t\\t\\t\\t\\tweka.filters.unsupervised.attribute.Discretize discUnsuper = new weka.filters.unsupervised.attribute.Discretize();\\r\\n\\t\\t\\t\\t\\tdiscUnsuper.setAttributeIndicesArray(attributes);\\r\\n\\t\\t\\t\\t\\tdiscUnsuper.setInvertSelection(true);\\r\\n\\t\\t\\t\\t\\tdiscUnsuper.setBins(2);\\r\\n\\t\\t\\t\\t\\tdiscUnsuper.setUseEqualFrequency(true);\\r\\n\\t\\t\\t\\t\\tdiscUnsuper.setInputFormat(trainInstances);\\r\\n\\t\\t\\t\\t\\ttrainInstances = Filter.useFilter(trainInstances, discUnsuper);\\r\\n\\t\\t\\t\\t\\ttestInstances = Filter.useFilter(testInstances, discUnsuper);\\r\\n\\t\\t\\t\\t\\t*/\\r\\n\\t\\t\\t\\t\\t//Discretização não supervisionada com PKI\\r\\n//\\t\\t\\t\\t\\tPKIDiscretize discPKIUnsuper = new PKIDiscretize();\\r\\n//\\t\\t\\t\\t\\tdiscPKIUnsuper.setAttributeIndicesArray(attributes);\\r\\n//\\t\\t\\t\\t\\tdiscPKIUnsuper.setInvertSelection(true);\\r\\n//\\t\\t\\t\\t\\tdiscPKIUnsuper.setFindNumBins(true);\\r\\n//\\t\\t\\t\\t\\tdiscPKIUnsuper.setInputFormat(trainInstances);\\r\\n//\\t\\t\\t\\t\\ttrainInstances = Filter.useFilter(trainInstances, discPKIUnsuper);\\r\\n//\\t\\t\\t\\t\\ttestInstances = Filter.useFilter(testInstances, discPKIUnsuper);\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//Selecao de atributos==========================================================================\\r\\n\\t\\t\\t\\t\\t//relief\\r\\n//\\t\\t\\t\\t\\tAttributeSelection attRelief = relief();\\r\\n//\\t\\t\\t\\t\\tattRelief.SelectAttributes(trainInstances);\\r\\n\\t\\t\\t\\t\\t//reduz dimensionalidade do modelo\\r\\n//\\t\\t\\t\\t\\ttrainInstances = attRelief.reduceDimensionality(trainInstances);\\r\\n//\\t\\t\\t\\t\\ttestInstances = attRelief.reduceDimensionality(testInstances);\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//InfoGain\\r\\n//\\t\\t\\t\\t\\tAttributeSelection attInfoGain = infoGainAS();\\r\\n//\\t\\t\\t\\t\\tattInfoGain.SelectAttributes(trainInstances);\\r\\n\\t\\t\\t\\t\\t//importancia dos atributos\\r\\n\\t\\t\\t\\t\\t//int [] attributes = attInfoGain.selectedAttributes();\\r\\n\\t\\t\\t\\t\\t//double [][] ranked = attInfoGain.rankedAttributes();\\r\\n\\t\\t\\t\\t\\t//for(int z=0;z<attributes.length-1;z++)\\r\\n\\t\\t\\t\\t\\t\\t//System.out.println(projects[0].toString()+\\\",\\\"+(count+1)+\\\",\\\"+(z+1)+\\\",\\\"+String.valueOf(new DecimalFormat(\\\"0.###\\\").format((double)ranked[z][1]).replace(',', '.'))+\\\",\\\"+trainInstances.attribute(attributes[z]).name());\\r\\n\\t\\t\\t\\t\\t//reduz dimensionalidade do modelo\\r\\n//\\t\\t\\t\\t\\ttrainInstances = attInfoGain.reduceDimensionality(trainInstances);\\r\\n//\\t\\t\\t\\t\\ttestInstances = attInfoGain.reduceDimensionality(testInstances);\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//CFS\\r\\n//\\t\\t\\t\\t\\tAttributeSelection attCFS = cfsAS();\\r\\n//\\t\\t\\t\\t\\tattCFS.SelectAttributes(trainInstances);\\r\\n\\t\\t\\t\\t\\t//lista atributos\\r\\n//\\t\\t\\t\\t\\tint [] attributes = attCFS.selectedAttributes();\\r\\n//\\t\\t\\t\\t\\tatt += attributes.length;\\r\\n//\\t\\t\\t\\t\\tfor(int z=0;z<attributes.length-1;z++)\\r\\n//\\t\\t\\t\\t\\t\\tSystem.out.println(projects[0].toString()+\\\",\\\"+w+\\\",\\\"+(z+1)+\\\",\\\"+train.attribute(attributes[z]).name());\\r\\n//\\t\\t\\t\\t\\ttrainInstances = attCFS.reduceDimensionality(trainInstances);\\r\\n//\\t\\t\\t\\t\\ttestInstances = attCFS.reduceDimensionality(testInstances);\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//Wrapper\\r\\n//\\t\\t\\t\\t\\tweka.filters.Filter filter = wrapperAS(classifier);\\r\\n//\\t\\t\\t\\t\\tfilter.setInputFormat(train);\\r\\n//\\t\\t\\t train = weka.filters.Filter.useFilter(train, filter);\\r\\n//\\t\\t\\t test = weka.filters.Filter.useFilter(test, filter);\\r\\n\\r\\n\\t\\t\\t\\t\\tdouble incorretos=0;\\r\\n\\t\\t\\t\\t\\tint tamClasses=0;\\r\\n\\t\\t\\t\\t\\tclassifier.buildClassifier(trainInstances);\\r\\n\\t\\t\\t\\t\\tEvaluation eval = new Evaluation(testInstances);\\r\\n\\t\\t\\t\\t\\teval.evaluateModel(classifier, testInstances);\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t//coleta da distribuicao de probabilidade com cada conjunto de teste \\r\\n\\t\\t\\t\\t\\tfor (int i = 0; i <testInstances.numInstances(); i++){//i < numTestInstances\\r\\n\\t\\t\\t\\t\\t\\tString classLabel = testInstances.instance(i).toString(testInstances.classIndex()); // Classe atual\\r\\n\\t\\t\\t\\t\\t\\tdouble predictionIndex = classifier.classifyInstance(testInstances.instance(i)); // Classe prevista\\r\\n\\t\\t\\t\\t\\t\\tString predictedClassLabel = testInstances.classAttribute().value((int) predictionIndex);// Valor da classe prevista\\r\\n\\t\\t\\t\\t\\t\\tdouble[] predDist = classifier.distributionForInstance(testInstances.instance(i));// Vetor com a Distribui��o de probilidade da tupla\\r\\n\\t\\t\\t\\t\\t\\ttamClasses=predDist.length;\\r\\n\\r\\n//\\t\\t\\t\\t\\t\\tif(classLabel.equals(predictedClassLabel))//verifica se o 1 do ranking foi correto\\r\\n//\\t\\t\\t\\t\\t\\t\\ttop[0]++;\\r\\n//\\t\\t\\t\\t\\t\\telse\\r\\n\\t\\t\\t\\t\\t\\t\\tincorretos++;\\r\\n\\t\\t\\t\\t\\t\\t//Valores nominais das classes.\\r\\n\\t\\t\\t\\t\\t\\tString[] classes = new String[predDist.length];\\r\\n\\t\\t\\t\\t\\t\\tfor (int predDistIndex = 0; predDistIndex < predDist.length; predDistIndex++){//predDistIndex < predDist.length\\r\\n\\t\\t\\t\\t\\t\\t\\tclasses[predDistIndex] = testInstances.classAttribute().value(predDistIndex);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t//constroi a matriz das probabilidades de cada classe na tupla\\r\\n//\\t\\t\\t\\t\\t\\tfor(int x=0;x<tamClasses;x++){\\r\\n//\\t\\t\\t\\t\\t\\t\\tfor(int y=0;y<2;y++){\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\tif(y==0)\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\t\\tmatrizProb[x][y]= classes[x];\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\telse\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\t\\tmatrizProb[x][y]= String.valueOf(predDist[x]);\\r\\n//\\t\\t\\t\\t\\t\\t\\t}\\t\\r\\n//\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t//ordena a matriz pela probabilidade de cada classe\\r\\n//\\t\\t\\t\\t\\t\\tordenaMatriz(matrizProb, tamClasses);\\r\\n//\\t\\t\\t\\t\\t\\tif(numClasses > 2)\\r\\n//\\t\\t\\t\\t\\t\\t\\trankingDevelopers(numClasses, classLabel, top);\\r\\n\\t\\t\\t\\t\\t}//end probabilidades\\r\\n\\r\\n\\t\\t\\t\\t\\t//Acurácias\\r\\n//\\t\\t\\t\\t\\tacc1.add((double)(top[0]*100)/testInstances.numInstances());\\r\\n//\\t\\t\\t\\t\\tacc2.add((double)(top[1]*100)/testInstances.numInstances());\\r\\n//\\t\\t\\t\\t\\tif(numClasses > 2){\\r\\n//\\t\\t\\t\\t\\t\\tacc3.add((double)(top[2]*100)/testInstances.numInstances());\\r\\n//\\t\\t\\t\\t\\t\\tacc4.add((double)(top[3]*100)/testInstances.numInstances());\\r\\n//\\t\\t\\t\\t\\t\\tacc5.add((double)(top[4]*100)/testInstances.numInstances());\\r\\n//\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\t\\tacc[count] = acc1.get(0);\\r\\n\\t\\t\\t\\t\\tcount++;\\r\\n\\t\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\t\\tsoma[0] += acc1.get(0);\\r\\n//\\t\\t\\t\\t\\tsoma[1] += acc2.get(0);\\r\\n//\\t\\t\\t\\t\\tif(numClasses > 2){\\r\\n//\\t\\t\\t\\t\\t\\tsoma[2] += acc3.get(0);\\r\\n//\\t\\t\\t\\t\\t\\tsoma[3] += acc4.get(0);\\r\\n//\\t\\t\\t\\t\\t\\tsoma[4] += acc5.get(0);\\t\\r\\n//\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\t\\tImprime resultados para cada modelo(treino e teste)\\r\\n\\t\\t\\t\\t\\t//System.out.println(projects[0].toString()+\\\",\\\"+(w-1)+\\\",\\\"+count+\\\",\\\"+(trainSizeInicio)+\\\",\\\"+retornaClassificador(cls[j]).getClass().getSimpleName()+\\\",\\\"+String.valueOf(new DecimalFormat(\\\"0.##\\\").format((double)acc1.get(0)).replace(',', '.')));\\r\\n\\r\\n\\t\\t\\t\\t\\t//Imprime outras medidas\\r\\n//\\t\\t\\t\\t\\tSystem.out.println(eval.toSummaryString());\\r\\n//\\t\\t\\t\\t\\tSystem.out.println(eval.toMatrixString());\\r\\n\\r\\n\\t\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\t\\tCoeficiente de corelação\\r\\n\\t\\t\\t\\t\\tif(cls[j]>=7 || cls[j]<=12){\\r\\n\\t\\t\\t\\t\\t\\tsomaR2 += Math.pow(eval.correlationCoefficient(), 2);\\r\\n\\t\\t\\t\\t\\t}else{\\r\\n\\t\\t\\t\\t\\t\\tm = eval.confusionMatrix();//Captura matriz de confusão de cada modelo\\r\\n\\t\\t\\t\\t\\t\\tif(count==1)\\r\\n\\t\\t\\t\\t\\t\\t\\tn=m;\\r\\n\\t\\t\\t\\t\\t\\tconfusionMatrixFinal(m, n);\\r\\n\\t\\t\\t\\t\\t}\\r\\n//\\t\\t\\t\\t\\tImprime resultados para cada modelo(treino e teste)\\r\\n//\\t\\t\\t\\t\\tSystem.out.println(projects[0].toString()+\\\",\\\"+(w-1)+\\\",\\\"+count+\\\",\\\"+(trainSizeInicio)+\\\",\\\"+retornaClassificador(cls[j]).getClass().getSimpleName()+\\\",\\\"+String.valueOf(new DecimalFormat(\\\"0.##\\\").format((double)eval.correlationCoefficient()).replace(',', '.')));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}//end instances\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tdouble R2Avg = somaR2/count;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t//Desvio Padrão\\r\\n//\\t\\t\\t\\tVariance variancia = new Variance();\\r\\n//\\t\\t\\t\\tdouble sd = Math.sqrt(variancia.evaluate(acc)); \\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t//Kernel for SMO\\r\\n\\t\\t\\t\\tString kernel = \\\"\\\";\\r\\n\\t\\t\\t\\tif(cls[j]==4)//Poly\\r\\n\\t\\t\\t\\t\\tkernel = \\\"Poly\\\";\\r\\n\\t\\t\\t\\tif(cls[j]==5)\\r\\n\\t\\t\\t\\t\\tkernel = \\\"Puk\\\";\\r\\n\\t\\t\\t\\tif(cls[j]==6)\\r\\n\\t\\t\\t\\t\\tkernel = \\\"RBF\\\";\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t//resultado pela matriz\\r\\n//\\t\\t\\t\\tdouble accMatriz = confusionMatrixAccuracy(n);\\r\\n//\\t\\t\\t\\tdouble kappaFinal = confusionMatrixKappa(n);\\r\\n//\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\tdouble precision = confusionMatrixPrecision(n);\\r\\n//\\t\\t\\t\\tdouble recall = confusionMatrixRecall(n);\\r\\n//\\t\\t\\t\\tdouble fMeasure = (2 * (precision * recall)) / (precision + recall);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t//Imprime Resultado\\r\\n\\t\\t\\t\\tfor(int c=1; c<=1; c++){\\r\\n\\t\\t\\t\\t\\tmedia[c-1] = soma[c-1]/count;\\r\\n\\t\\t\\t\\t\\t//System.out.println(projects[0].toString()+\\\",\\\"+retornaClassificador(cls[j]).getClass().getSimpleName()+kernel+\\\",\\\"+String.valueOf(new DecimalFormat(\\\"0.##\\\").format((double)media[c-1]).replace(',', '.'))+\\\",\\\"+String.valueOf(new DecimalFormat(\\\"0.####\\\").format((double)(accMatriz)).replace(',', '.'))+\\\",\\\"+String.valueOf(new DecimalFormat(\\\"0.####\\\").format((double)(kappaFinal)).replace(',', '.')));\\r\\n\\t\\t\\t\\t\\tSystem.out.println(projects[0].toString()+\\\",\\\"+\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tretornaClassificador(cls[j]).getClass().getSimpleName()+\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tkernel+\\\",\\\"+\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString.valueOf(new DecimalFormat(\\\"0.####\\\").format((double)(accMatriz)).replace(',', '.'))+\\\",\\\"+\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString.valueOf(new DecimalFormat(\\\"0.####\\\").format((double)(R2Avg)).replace(',', '.'))//+\\\",\\\"+\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString.valueOf(new DecimalFormat(\\\"0.####\\\").format((double)(precision)).replace(',', '.'))+\\\",\\\"+\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString.valueOf(new DecimalFormat(\\\"0.####\\\").format((double)(recall)).replace(',', '.'))+\\\",\\\"+\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString.valueOf(new DecimalFormat(\\\"0.####\\\").format((double)(fMeasure)).replace(',', '.'))\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\tImprime matriz\\r\\n\\t\\t\\t\\t//confusionMatrixPrint(n);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}//end files\\r\\n\\t\\t}//end array classifiers\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"38c8c3cc2662a81b40f658cae4255809\",\n \"score\": \"0.6674547\",\n \"text\": \"public static void main(String[] args) throws IOException, Exception {\\n DataSource reader = new DataSource(\\\"C:\\\\\\\\Users\\\\\\\\Joshua\\\\\\\\Desktop\\\\\\\\TucilAI\\\\\\\\iris.arff\\\");\\n Instances dataset = reader.getDataSet();\\n dataset.setClassIndex(dataset.numAttributes() - 1);\\n Instances FilteredDataset = filter(dataset);\\n Scanner in = new Scanner(System.in);\\n int input = 1;\\n Classifier classifier = new J48();\\n classifier.buildClassifier(dataset);\\n Classifier FilteredClassifier = new J48();\\n FilteredClassifier.buildClassifier(FilteredDataset);\\n \\n while(input !=0){\\n System.out.println(\\\"1. Discrete Filter\\\");\\n System.out.println(\\\"2. 10-fold Cross Validation\\\");\\n System.out.println(\\\"3. 10-fold Cross Validation dengan Discretize Filter\\\");\\n System.out.println(\\\"4. Full Training\\\");\\n System.out.println(\\\"5. Full Training dengan Discretize Filter\\\");\\n System.out.println(\\\"6. Save Model ke File Eksternal\\\");\\n System.out.println(\\\"7. Membaca Model dari File Eksternal\\\");\\n System.out.println(\\\"8. Membuat Instance Baru\\\");\\n System.out.println(\\\"9. Output Dataset\\\");\\n System.out.println(\\\"10. Test Instance\\\");\\n System.out.println(\\\"0. Keluar\\\");\\n input = in.nextInt();\\n switch (input) {\\n case 1:\\n System.out.println(\\\"discretizediris.arff Telah berhasil di simpan!\\\");\\n Instances output = filter(dataset);\\n save(output);\\n break;\\n case 2:\\n Evaluation evaluation = new Evaluation(dataset);\\n evaluation.crossValidateModel(classifier, dataset, 10, new Random(1));\\n System.out.println(evaluation.toSummaryString());\\n System.out.println(classifier);\\n break;\\n case 3:\\n Evaluation evaluation2 = new Evaluation(FilteredDataset);\\n evaluation2.crossValidateModel(classifier, FilteredDataset, 10, new Random(1));\\n System.out.println(evaluation2.toSummaryString());\\n System.out.println(classifier);\\n break;\\n case 4:\\n Evaluation evaluation3 = new Evaluation(dataset);\\n evaluation3.evaluateModel(classifier, dataset);\\n System.out.println(evaluation3.toSummaryString());\\n System.out.println(classifier);\\n break;\\n case 5:\\n Evaluation evaluation4 = new Evaluation(FilteredDataset);\\n evaluation4.evaluateModel(FilteredClassifier, FilteredDataset);\\n System.out.println(evaluation4.toSummaryString());\\n System.out.println(classifier);\\n break; \\n case 6:\\n weka.core.SerializationHelper.write(\\\"C:\\\\\\\\Users\\\\\\\\Joshua\\\\\\\\Desktop\\\\\\\\TucilAI\\\\\\\\output.model\\\",classifier);\\n System.out.println(\\\"File Eksternal output.model telah berhasil disimpan\\\");\\n System.out.println(\\\" \\\");\\n break;\\n case 7:\\n classifier = (Classifier) weka.core.SerializationHelper.read( new FileInputStream(\\\"C:\\\\\\\\Users\\\\\\\\Joshua\\\\\\\\Desktop\\\\\\\\TucilAI\\\\\\\\output.model\\\"));\\n System.out.println(\\\"Model telah berhasil dibaca!\\\");\\n System.out.println(\\\" \\\");\\n System.out.println(classifier);\\n break;\\n case 8:\\n int jumlah = dataset.numAttributes();\\n Instance instans = new DenseInstance(jumlah);\\n for(int i = 0; i < jumlah; i++){\\n System.out.println(\\\"attribute\\\" + (i+1));\\n double x = in.nextDouble();\\n instans.setValue(i, x);\\n } \\n dataset.add(instans);\\n System.out.println(\\\"Instance berhasil ditambahkan!\\\");\\n break;\\n case 9:\\n save2(dataset);\\n System.out.println(\\\"Dataset telah disimpan!\\\");\\n break;\\n case 10:\\n int jumlah2 = dataset.numAttributes();\\n Instance instans2 = new DenseInstance(jumlah2);\\n for(int i = 0; i < jumlah2-1; i++){\\n System.out.println(\\\"attribute\\\" + (i+1));\\n double x = in.nextDouble();\\n instans2.setValue(i, x);\\n } \\n instans2.setDataset(dataset);\\n double kelas = classifier.classifyInstance(instans2);\\n System.out.println(\\\"Hasil Prediksi : \\\" + dataset.classAttribute().value( (int) kelas));\\n break;\\n default:\\n System.out.println(\\\"Masukan salah, silahkan ulangi !\\\"); \\n break;\\n }\\n }\\n System.out.println(\\\"Terima Kasih Telah Menggunakan Program Kami!\\\");\\n System.exit(0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5642e9adeaf258e893db4198bb76f1c6\",\n \"score\": \"0.6664051\",\n \"text\": \"public static void main(String[] args) {\\r\\n\\t\\topennlpClassification();\\r\\n\\t\\topennlpDocumentCategorizer();\\r\\n\\t\\t// stanfordClassification();\\r\\n\\t\\t// stanfordPipeline();\\r\\n\\t\\tlingpipeClassify();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"42a382443d9b1804b294c72c999a54e4\",\n \"score\": \"0.6497188\",\n \"text\": \"public static void main(String [] argv) {\\n\\n DistributionClassifier scheme;\\n\\n try {\\n scheme = new MultiClassClassifier();\\n System.out.println(Evaluation.evaluateModel(scheme, argv));\\n } catch (Exception e) {\\n System.err.println(e.getMessage());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"72bc697a1fb397c97c8ebd84706e7d39\",\n \"score\": \"0.6471265\",\n \"text\": \"public abstract ClassificationResult classify(E document);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86db95cf461ed8e0eab2e29011eb0a09\",\n \"score\": \"0.6439851\",\n \"text\": \"public static void main(String[] args) throws Exception {\\n\\t\\tInstances data = DataSource.read(Utils.getOption(\\\"t\\\", args));\\r\\n\\t\\tString clsIndex = Utils.getOption(\\\"c\\\", args);\\r\\n\\t\\tif (clsIndex.length() == 0)\\r\\n\\t\\t\\tclsIndex = \\\"last\\\";\\r\\n\\t\\tif (clsIndex.equals(\\\"first\\\"))\\r\\n\\t\\t\\tdata.setClassIndex(0);\\r\\n\\t\\telse if (clsIndex.equals(\\\"last\\\"))\\r\\n\\t\\t\\tdata.setClassIndex(data.numAttributes() - 1);\\r\\n\\t\\telse\\r\\n\\t\\t\\tdata.setClassIndex(Integer.parseInt(clsIndex) - 1);\\r\\n\\r\\n\\t\\t// other options\\r\\n\\t\\tint seed = Integer.parseInt(Utils.getOption(\\\"s\\\", args));\\r\\n\\t\\tint folds = Integer.parseInt(Utils.getOption(\\\"x\\\", args));\\r\\n\\r\\n\\t\\t// randomize data\\r\\n\\t\\tRandom rand = new Random(seed);\\r\\n\\t\\tInstances randData = new Instances(data);\\r\\n\\t\\trandData.randomize(rand);\\r\\n\\t\\tif (randData.classAttribute().isNominal())\\r\\n\\t\\t\\trandData.stratify(folds);\\r\\n\\r\\n\\t\\t// added code\\r\\n\\t\\tint numClasses = 3;\\r\\n\\t\\tdouble[][] confusionMatrix = new double[numClasses][numClasses];\\r\\n\\r\\n\\t\\tfor (int n = 0; n < folds; n++) {\\r\\n\\t\\t\\tSystem.out.println(\\\"Fold \\\"+n);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tInstances train = randData.trainCV(folds, n);\\r\\n\\t\\t\\tInstances test = randData.testCV(folds, n);\\r\\n\\t\\t\\t// the above code is used by the StratifiedRemoveFolds filter, the\\r\\n\\t\\t\\t// code below by the Explorer/Experimenter:\\r\\n\\t\\t\\t// Instances train = randData.trainCV(folds, n, rand);\\r\\n\\r\\n\\t\\t\\tClassifier NBcls = new J48();\\r\\n\\t\\t\\ttry {\\r\\n\\t\\t\\t\\tNBcls.buildClassifier(train);\\r\\n\\t\\t\\t\\tEvaluation eval = new Evaluation(train);\\r\\n\\t\\t\\t\\teval.evaluateModel(NBcls, test);\\r\\n\\r\\n\\t\\t\\t\\tdouble[][] subConfusionMatrix = eval.confusionMatrix();\\r\\n\\t\\t\\t\\tfor (int i = 0; i < numClasses; i++) {\\r\\n\\t\\t\\t\\t\\tfor (int j = 0; j < numClasses; j++) {\\r\\n\\t\\t\\t\\t\\t\\tconfusionMatrix[i][j] += subConfusionMatrix[i][j];\\r\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"subconfusion matrix \\\"+i+\\\" \\\"+j+subConfusionMatrix[i][j]);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t} catch (Exception e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\r\\n\\t\\t\\t\\te.printStackTrace();\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// print out the final confusionMatrix\\r\\n\\t\\tSystem.out.println(\\\"######Printing out the final confusion matrix:\\\");\\r\\n\\t\\tfor (int i = 0; i < numClasses; i++) {\\r\\n\\t\\t\\tfor (int j = 0; j < numClasses; j++) {\\r\\n\\t\\t\\t\\tSystem.out.println(confusionMatrix[i][j]);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\tSystem.out.println(weightedFMeasure(numClasses, confusionMatrix));\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"67f7d20e89af3c238a9b94429a6bd7d5\",\n \"score\": \"0.6432983\",\n \"text\": \"public static void main(String[] args)\\n {\\n MieterClassifier MC = new MieterClassifier();\\n System.out.println(MC.classify(\\\"Ich bin Vermieter.\\\"));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"85d003b0fc05509655a17d80d765f50e\",\n \"score\": \"0.64238816\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tAbcd abcd = new Abcd();\\r\\n\\t\\tfor(int i=0; i<6; i++) abcd.classify(\\\"yes\\\", \\\"yes\\\");\\r\\n\\t\\tfor(int i=0; i<2; i++) abcd.classify(\\\"no\\\", \\\"no\\\");\\r\\n\\t\\tfor(int i=0; i<5; i++) abcd.classify(\\\"maybe\\\", \\\"maybe\\\");\\r\\n\\t\\tabcd.classify(\\\"maybe\\\", \\\"no\\\");\\r\\n\\t\\tabcd.abcdReport();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cdbb1d4806dc05f0eefb6203652be696\",\n \"score\": \"0.64194673\",\n \"text\": \"public double classify(double[] data) {\\n if (data == null || data.length == 0) {\\n throw new IllegalArgumentException(\\\"data must not be null or empty\\\");\\n }\\n return classify(root, data);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5626c0e2b0a718e2d02dfccb46ef8eaf\",\n \"score\": \"0.63929546\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tfinal String baseName = \\\"data/WebKB/webkb\\\";\\n\\t\\t\\n\\t\\tfinal Corpus train = new Corpus(baseName + \\\".scale.train\\\"); \\n\\t\\t//BayesianGaussianNB classifier = new BayesianGaussianNB(train, 2.0, train.getGlobalMean(), 1.0, Math.pow(2.0, -12), Math.pow(2.0, -12), true); // 20 newsgroups\\n\\t\\tBayesianGaussianNB classifier = new BayesianGaussianNB(train, 2.0, train.getGlobalMean(), 1.0, Math.pow(2.0, -7), Math.pow(2.0, -7), true); // WebKB\\n\\t\\tclassifier.train(); \\n\\t\\t\\n\\t\\tfinal Corpus test = new Corpus(baseName + \\\".scale.test\\\"); \\n\\t\\tfinal String[] categories = classifier.predict(test); \\n\\t\\t\\n\\t\\tfinal ConfusionMatrix<String> matrix = new ConfusionMatrix<String>(test.getCategories(), categories); \\n\\t\\tSystem.out.println(matrix);\\n\\t\\t\\n\\t\\tSystem.out.println(matrix.classificationReport(1.0));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"216d81af4104749c20ff2981890a54c6\",\n \"score\": \"0.6379336\",\n \"text\": \"private void doConfusionMatrix(int algorithm, Hashtable ht, PrintStream p,\\n double[][][] d, Vector nameResults, int selector,\\n String[] labels, List algorithms,\\n String dataType) {\\n\\n int nfold_real = d.length / algorithms.size();\\n int nsamples[] = new int[d.length];\\n List typeclasses = new ArrayList();\\n nOutputs = d[0][0].length / 2;\\n\\n //All classes\\n for (int strings = 0; strings < labels.length; strings++) {\\n typeclasses.add(labels[strings]);\\n }\\n\\n String vclass_estimated;\\n String vclass_real;\\n InformationAboutClass nclass;\\n\\n //Number of samples\\n for (int fold = 0; fold < nfold_real; fold++) {\\n nsamples[fold] = d[fold + nfold_real * algorithm].length;\\n }\\n\\n // Obtain for each class, the number of correct, and mistake classifications\\n for (int fold = 0; fold < nfold_real; fold++) {\\n for (int sample = 0; sample < nsamples[fold]; sample++) {\\n for (int out = 0; out < nOutputs; out++) {\\n vclass_real = doLabel(d[fold +\\n nfold_real *\\n algorithm][sample][out], labels);\\n\\n //Check if this class is in the hashTable\\n if (ht.containsKey(vclass_real)) {\\n nclass = (StatTest.InformationAboutClass) ht.get(\\n vclass_real);\\n }\\n //If this class is not in the hashTable, we add it\\n else {\\n nclass = new InformationAboutClass(vclass_real);\\n ht.put(vclass_real, nclass);\\n }\\n\\n // Check if real class and estimated class are the same\\n vclass_estimated = doLabel(d[fold +\\n nfold_real *\\n algorithm][sample][out +\\n nOutputs], labels);\\n\\n //unclassified are not counted\\n if (vclass_real.equals(vclass_estimated)) {\\n nclass.setCorrectClassifications(nclass.\\n getCorrectClassifications() + 1);\\n } else {\\n nclass.setMistakeClassifications(nclass.\\n getMistakeClassifications() + 1);\\n nclass.setMistakeClass(vclass_estimated);\\n }\\n nclass.setTotalNumberClass(nclass.getTotalNumberClass() + 1);\\n\\n }\\n }\\n }\\n\\n //Do the confusion matrix with the before information\\n\\n if (dataType.equalsIgnoreCase(\\\"TEST RESULTS\\\")) {\\n //Print the confusion matrix\\n p.println();\\n p.println();\\n p.println(\\n \\\"---------------------------------------------------------\\\");\\n p.println(\\\"CONFUSSION MATRIX. ALGORITHM: \\\" +\\n algorithms.get(algorithm));\\n p.println(\\n \\\"---------------------------------------------------------\\\");\\n }\\n\\n p.println();\\n p.println(dataType);\\n\\n //Print the classes\\n for (int i = 0; i < typeclasses.size(); i++) {\\n p.print(\\\",\\\" + typeclasses.get(i));\\n }\\n\\n p.println();\\n for (int h = 0; h < typeclasses.size(); h++) {\\n\\n String theClass = (String) typeclasses.get(h);\\n InformationAboutClass other_class = (StatTest.InformationAboutClass)\\n ht.get(theClass);\\n\\n // If this class is not in the hash table, this row is filled with 0\\n if (other_class == null) {\\n p.print(theClass);\\n for (int i = 0; i < typeclasses.size(); i++) {\\n p.print(\\\",0\\\");\\n }\\n }\\n // Check the mistake and correct classifications for the current class\\n else {\\n List classesMistake = other_class.getMistakeClass();\\n int num = 0;\\n p.print(theClass);\\n\\n for (int i = 0; i < typeclasses.size(); i++) {\\n num = 0;\\n if (theClass.equals(typeclasses.get(i))) {\\n p.print(\\\",\\\" + other_class.getCorrectClassifications());\\n } else {\\n for (int j = 0; j < classesMistake.size(); j++) {\\n if (classesMistake.get(j).equals(typeclasses.get(i))) {\\n num++;\\n }\\n }\\n\\n p.print(\\\",\\\" + num);\\n }\\n }\\n }\\n\\n p.println();\\n }\\n ht.clear();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"696a7157d9ee7533bf5f4d9c9d706f03\",\n \"score\": \"0.6358942\",\n \"text\": \"public void classification(String data, String label, int j){\\n\\t\\t\\n\\t\\tswitch(j)\\n\\t\\t{\\n\\t\\t\\tcase 0:// Temperature\\n\\t\\t\\t\\t// hot yes\\n\\t\\t\\t\\tif(data.contentEquals(\\\"hot\\\") && label.contentEquals(\\\"yes\\\")) hotYes++;\\n\\n\\t\\t\\t\\t// hot no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"hot\\\") && label.contentEquals(\\\"no\\\")) hotNo++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// normal yes\\n\\t\\t\\t\\tif(data.contentEquals(\\\"normal\\\") && label.contentEquals(\\\"yes\\\")) normalYes++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// normal no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"normal\\\") && label.contentEquals(\\\"no\\\")) normalNo++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// cool yes\\n\\t\\t\\t\\tif(data.contentEquals(\\\"cool\\\") && label.contentEquals(\\\"yes\\\")) coolYes++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// cool no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"cool\\\") && label.contentEquals(\\\"no\\\")) coolNo++;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\n\\t\\t\\tcase 1: // Aches\\n\\t\\t\\t\\t// achesPosetive yes\\n\\t\\t\\t\\tif(data.contentEquals(\\\"yes\\\") && label.contentEquals(\\\"yes\\\")) achesPosetiveYes++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// achesPosetive no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"yes\\\") && label.contentEquals(\\\"no\\\")) achesPosetiveNo++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// achesNegative Yes\\n\\t\\t\\t\\tif(data.contentEquals(\\\"no\\\") && label.contentEquals(\\\"yes\\\")) achesNegativeYes++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// achesNegative no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"no\\\") && label.contentEquals(\\\"no\\\")) achesNegativeNo++;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\n\\t\\t\\tcase 2: // Cough\\n\\t\\t\\t\\t// coughPosetive Yes\\n\\t\\t\\t\\tif(data.contentEquals(\\\"yes\\\") && label.contentEquals(\\\"yes\\\")) coughPosetiveYes++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// coughPosetive no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"yes\\\") && label.contentEquals(\\\"no\\\")) coughPosetiveNo++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t//coughNegative yes\\n\\t\\t\\t\\tif(data.contentEquals(\\\"no\\\") && label.contentEquals(\\\"yes\\\")) coughNegativeYes++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// coughNegative no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"no\\\") && label.contentEquals(\\\"no\\\")) coughNegativeNo++;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\n\\t\\t\\tcase 3: // Sore Throat\\n\\t\\t\\t\\tif(data.contentEquals(\\\"yes\\\") && label.contentEquals(\\\"yes\\\")) soreThroatPosetiveYes++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// achesPosetive no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"yes\\\") && label.contentEquals(\\\"no\\\")) soreThroatPosetiveNo++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// normal yes\\n\\t\\t\\t\\tif(data.contentEquals(\\\"no\\\") && label.contentEquals(\\\"yes\\\")) soreThroatNegativeYes++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// normal no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"no\\\") && label.contentEquals(\\\"no\\\")) soreThroatNegativeNo++;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\n\\t\\t\\tcase 4: // Recently Traveled from Danger zone\\n\\t\\t\\t\\t// traveledDangerZonePosetive Yes\\n\\t\\t\\t\\tif(data.contentEquals(\\\"yes\\\") && label.contentEquals(\\\"yes\\\")) traveledDangerZonePosetiveYes++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// traveledDangerZonePosetive no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"yes\\\") && label.contentEquals(\\\"no\\\")) traveledDangerZonePosetiveNo++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// traveledDangerZoneNegative yes\\n\\t\\t\\t\\tif(data.contentEquals(\\\"no\\\") && label.contentEquals(\\\"yes\\\"))traveledDangerZoneNegativeYes++;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// traveledDangerZoneNegative no\\n\\t\\t\\t\\tif(data.contentEquals(\\\"no\\\") && label.contentEquals(\\\"no\\\")) traveledDangerZoneNegativeNo++;\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\n\\t\\t\\tcase 5:\\n\\t\\t\\t\\tbreak;\\n\\n\\t\\t}// end switch case\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f5fff24948613cdec1a382e615a1c5e8\",\n \"score\": \"0.6354262\",\n \"text\": \"public static void main(String[] args) throws IOException {\\n\\t\\tdouble time1 = (double) System.currentTimeMillis();\\n\\t\\n\\t\\t// Create instance of class ClassificationPRM\\t\\n\\t\\tAprioriTFP_CMAR newClassification = new AprioriTFP_CMAR(args);\\n\\t\\t\\t\\t\\n\\t\\t// Read data to be mined from file (method in AssocRuleMining class)\\n\\t\\tnewClassification.inputDataSet();\\n\\t\\n\\t\\t// Reorder input data according to frequency of single attributes\\n\\t\\t// excluding classifiers. Proceed as follows: (1) create a conversion\\n\\t\\t// array (with classifiers left at end), (2) reorder the attributes \\n\\t\\t// according to this array. Do not throw away unsupported attributes \\n\\t\\t// as when data set is split (if distribution is not exactly even) we \\n\\t\\t// may have thrown away supported attributes that contribute to the \\n\\t\\t// generation of CRs. NB Never throw away classifiers even if\\n\\t\\t// unsupported!\\n\\t\\tnewClassification.idInputDataOrdering(); // ClassificationAprioriT\\n\\t\\tnewClassification.recastInputData(); // AssocRuleMining\\n\\t\\n\\t\\t// Create training data set (method in ClassificationAprioriT class)\\n\\t\\t// assuming a 50:50 split\\n newClassification.createTrainingAndTestDataSets();\\n\\t\\n\\t\\t// Mine data, produce T-tree and generate CRs\\n\\t\\tnewClassification.startClassification();\\n\\t\\tnewClassification.outputDuration(time1,\\n\\t\\t\\t\\t(double) System.currentTimeMillis());\\n\\t \\n\\t \\t// Standard output\\n\\t\\tnewClassification.outputNumFreqSets();\\n\\t\\tnewClassification.outputNumUpdates();\\n\\t\\tnewClassification.outputStorage();\\n\\t\\tnewClassification.outputNumCMARrules();\\n\\t\\tdouble accuracy = newClassification.getAccuracy();\\n\\t\\tSystem.out.println(\\\"Accuracy = \\\" + twoDecPlaces(accuracy));\\n\\t\\tdouble aucValue = newClassification.getAUCvalue();\\n\\t\\tSystem.out.println(\\\"AUC value = \\\" + fourDecPlaces(aucValue));\\n\\t\\t\\n\\t\\t// Additional output\\n\\t\\t//newClassification.outputTtree();\\n\\t\\tnewClassification.outputCMARrules();\\n\\t\\n\\t\\t// End\\n\\t\\tSystem.exit(0);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c38b3481ab94b70744672308876840c7\",\n \"score\": \"0.63392586\",\n \"text\": \"public static void main(String[] args) throws Exception {\\n String path = \\\"data/text.arff\\\";\\n DataSource source = new DataSource(path);\\n Instances data = source.getDataSet();\\n data.setClassIndex(1);\\n data.setClass(data.attribute(\\\"score\\\"));\\n data.deleteAttributeAt(6);\\n data.deleteAttributeAt(5);\\n data.deleteAttributeAt(4);\\n data.deleteAttributeAt(1);\\n data.deleteAttributeAt(0);\\n System.out.println(data.toSummaryString());\\n \\n\\n StringToWordVector swFilter = new StringToWordVector();\\n swFilter.setAttributeIndices(\\\"2\\\");\\n swFilter.setIDFTransform(true);\\n swFilter.setTFTransform(true);\\n swFilter.setDoNotOperateOnPerClassBasis(true);\\n swFilter.setOutputWordCounts(true);\\n swFilter.setStemmer(new LovinsStemmer());\\n swFilter.setStopwordsHandler(new WordsFromFile());\\n swFilter.setTokenizer(new AlphabeticTokenizer());\\n swFilter.setWordsToKeep(100);\\n\\n FilteredClassifier fc = new FilteredClassifier();\\n fc.setFilter(swFilter);\\n fc.setClassifier(new NaiveBayes());\\n fc.buildClassifier(data);\\n Evaluation eval = new Evaluation(data);\\n eval.crossValidateModel(fc, data, 10, new Random(1));\\n System.out.println(eval.toSummaryString());\\n System.out.println(eval.toClassDetailsString());\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9c244d505e040bc80ff8d6f1d2df7ed\",\n \"score\": \"0.63378847\",\n \"text\": \"ArrayList<Double> classifyTestData(ArrayList<Tuple> test){\\n\\t\\tArrayList<Double> result=new ArrayList<Double>();\\n\\t\\tfor(Tuple tuple:test){\\n\\t\\t\\tthis.classify(tuple);\\n\\t\\t\\tresult.add(tuple.classresult*this.classifier_weight);\\n\\t\\t}\\n\\t\\treturn result;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b10a764e33d4d6ff68822739b893e02c\",\n \"score\": \"0.6333347\",\n \"text\": \"public Map<TrafficFeature, Double> classifyAndResults() {\\n List<Map<TrafficFeature, List<String>>> traffics = getIns();\\n Map<TrafficFeature, Double> results = new LinkedHashMap<TrafficFeature, Double>();\\n for (Map<TrafficFeature, List<String>> list : traffics) {\\n Instances ins = classifier.getInstances(list);\\n Set<TrafficFeature> keySet = list.keySet();\\n int i = 0;\\n for (TrafficFeature feature : keySet) {\\n double value = classifier.classify(VOTE, ins.instance(i++));\\n if (results.containsKey(feature)) {\\n results.put(feature, results.get(feature) + value);\\n } else {\\n\\n results.put(feature, value);\\n }\\n }\\n }\\n return results;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6730b45229bef7fc82a71c738c45912\",\n \"score\": \"0.6329904\",\n \"text\": \"public static Classifier buildClassifier(Instances data, String type) {\\n try {\\n Random random = new Random();\\n\\n // Input user\\n Scanner in = new Scanner(System.in);\\n\\n System.out.print(\\\"Masukkan jumlah iterasi (0 jika tidak ada maks) : \\\");\\n int maxIteration = in.nextInt();\\n\\n System.out.print(\\\"Masukkan learning rate : \\\");\\n double learningRate = in.nextDouble();\\n\\n System.out.print(\\\"Masukkan momentum : \\\");\\n double momentum = in.nextDouble();\\n\\n System.out.print(\\\"Masukkan threshold : \\\");\\n double threshold = in.nextDouble();\\n\\n System.out.print(\\\"Pilih metode convert data (numeric, binary_full, binary_partial, none) : \\\");\\n in.nextLine();\\n method = in.nextLine();\\n switch (method) {\\n case \\\"numeric\\\":\\n data = NominalConverter.nominalToNumeric(data);\\n break;\\n case \\\"binary_full\\\":\\n data = NominalConverter.nominalToBinary(data, false);\\n break;\\n case \\\"binary_partial\\\":\\n data = NominalConverter.nominalToBinary(data, true);\\n break;\\n default:\\n break;\\n }\\n\\n System.out.print(\\\"Apakah data ingin dinormalisasi (y/n) ? \\\");\\n isNormalize = in.nextLine();\\n switch (isNormalize) {\\n case \\\"y\\\":\\n Normalize normalize = new Normalize();\\n normalize.setInputFormat(data);\\n data = Filter.useFilter(data, normalize);\\n break;\\n default:\\n break;\\n }\\n \\n System.out.println(data);\\n\\n System.out.print(\\\"Apakah weight ingin diinisialisasi (y/n) ? \\\");\\n boolean isRandomize = in.nextLine().equals(\\\"y\\\") ? false : true;\\n\\n// int maxIteration = 10000;\\n// double learningRate = 0.1;\\n// double momentum = 0.1;\\n// double threshold = 0.01;\\n switch (type.toLowerCase()) {\\n case \\\"ptr\\\":\\n List<Neuron> neurons = new ArrayList<>();\\n\\n if (data.classAttribute().numValues() > 2) { // Multi class\\n for (int i = 0; i < data.classAttribute().numValues(); ++i) {\\n String activationFunction = inputActivationFunction();\\n double biasWeight = inputWeightBias(isRandomize);\\n List<Double> weights = inputWeights(data.numAttributes(), i, isRandomize);\\n neurons.add(inputNeuron(activationFunction, biasWeight, weights));\\n }\\n } else { // Binary Class\\n String activationFunction = inputActivationFunction();\\n double biasWeight = inputWeightBias(isRandomize);\\n List<Double> weights = inputWeights(data.numAttributes(), -1, isRandomize);\\n neurons.add(inputNeuron(activationFunction, biasWeight, weights));\\n }\\n\\n PerceptronTrainingRule PTR = new PerceptronTrainingRule(maxIteration,\\n neurons, learningRate, momentum, threshold);\\n System.out.println(data);\\n PTR.buildClassifier(data);\\n \\n Helper.tenFoldCrossValidation(data, PTR);\\n\\n return PTR;\\n\\n case \\\"drb\\\":\\n neurons = new ArrayList<>();\\n\\n if (data.classAttribute().numValues() > 2) { // Multi class\\n for (int i = 0; i < data.classAttribute().numValues(); ++i) {\\n String activationFunction = \\\"none\\\";\\n double biasWeight = inputWeightBias(isRandomize);\\n List<Double> weights = inputWeights(data.numAttributes(), i, isRandomize);\\n neurons.add(inputNeuron(activationFunction, biasWeight, weights));\\n }\\n } else { // Binary Class\\n String activationFunction = \\\"none\\\";\\n double biasWeight = inputWeightBias(isRandomize);\\n List<Double> weights = inputWeights(data.numAttributes(), -1, isRandomize);\\n neurons.add(inputNeuron(activationFunction, biasWeight, weights));\\n }\\n\\n DeltaRuleBatch DRB = new DeltaRuleBatch(maxIteration,\\n neurons, learningRate, momentum, threshold);\\n DRB.buildClassifier(data);\\n \\n Helper.tenFoldCrossValidation(data, DRB);\\n\\n return DRB;\\n\\n case \\\"dri\\\":\\n neurons = new ArrayList<>();\\n\\n if (data.classAttribute().numValues() > 2) { // Multi class\\n for (int i = 0; i < data.classAttribute().numValues(); ++i) {\\n String activationFunction = \\\"none\\\";\\n double biasWeight = inputWeightBias(isRandomize);\\n List<Double> weights = inputWeights(data.numAttributes(), i, isRandomize);\\n neurons.add(inputNeuron(activationFunction, biasWeight, weights));\\n }\\n } else { // Binary Class\\n String activationFunction = \\\"none\\\";\\n double biasWeight = inputWeightBias(isRandomize);\\n List<Double> weights = inputWeights(data.numAttributes(), -1, isRandomize);\\n neurons.add(inputNeuron(activationFunction, biasWeight, weights));\\n }\\n\\n DeltaRuleIncremental DRI = new DeltaRuleIncremental(maxIteration,\\n neurons, learningRate, momentum, threshold);\\n DRI.buildClassifier(data);\\n\\n Helper.tenFoldCrossValidation(data, DRI);\\n return DRI;\\n\\n case \\\"mlp\\\":\\n List<List<Neuron>> hiddenLayers = new ArrayList<>();\\n List<Neuron> outputLayer = new ArrayList<>();\\n\\n // read hidden layers weights from stdin\\n System.out.print(\\\"Masukkan jumlah layer hidden layer : \\\");\\n int jumlahLayer = in.nextInt();\\n\\n for (int i = 0; i < jumlahLayer; ++i) {\\n System.out.print(\\\"Masukkan jumlah neuron hidden layer \\\" + i + \\\" : \\\");\\n int jumlahSetiapLayer = in.nextInt();\\n\\n List<Neuron> hiddenLayer = new ArrayList<>();\\n for (int j = 0; j < jumlahSetiapLayer; ++j) {\\n double biasWeight = inputWeightBias(isRandomize);\\n List<Double> inputWeights = inputWeights(data.numAttributes(), jumlahSetiapLayer > 1 ? j : -1, isRandomize);\\n hiddenLayer.add(inputNeuron(ActivationFunction.SIGMOID, biasWeight, inputWeights));\\n }\\n hiddenLayers.add(hiddenLayer);\\n }\\n\\n // read output layer weights from stdin\\n System.out.println(\\\"Jumlah neuron output layer : \\\" + ((data.classAttribute().numValues() > 2) ? data.classAttribute().numValues() : 1));\\n if (data.classAttribute().numValues() > 2) { // multiclass\\n for (int i = 0; i < data.classAttribute().numValues(); ++i) {\\n double biasWeight = inputWeightBias(isRandomize);\\n List<Double> outputWeights = inputWeights(hiddenLayers.get(hiddenLayers.size() - 1).size() + 1, i, isRandomize);\\n outputLayer.add(inputNeuron(ActivationFunction.SIGMOID, biasWeight, outputWeights));\\n }\\n } else { // binary class\\n double biasWeight = inputWeightBias(isRandomize);\\n List<Double> outputWeights = inputWeights(hiddenLayers.get(hiddenLayers.size() - 1).size() + 1, -1, isRandomize);\\n outputLayer.add(inputNeuron(ActivationFunction.SIGMOID, biasWeight, outputWeights));\\n }\\n\\n MultiLayerPerceptron MLP = new MultiLayerPerceptron(hiddenLayers, outputLayer, data, maxIteration,\\n learningRate, momentum, threshold);\\n MLP.buildClassifier(data);\\n \\n Helper.tenFoldCrossValidation(data, MLP);\\n return MLP;\\n }\\n } catch (Exception ex) {\\n Logger.getLogger(Helper.class.getName()).log(Level.SEVERE, null, ex);\\n }\\n\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba784b3a89b9b8a6cf2caeb672c4c95f\",\n \"score\": \"0.6315801\",\n \"text\": \"public Map<String, String> classify(String text);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"56512d2c7a848ea3cfb5299136d97caa\",\n \"score\": \"0.6282532\",\n \"text\": \"public static void main(String[] args) throws Exception {\\n\\t\\tInstanceDao dao = new InstanceDao();\\n\\t\\tInstances trainInstances = dao.loadDataFromFile(\\\"dataset/wine-5-fold/wine-5-1tra.arff\\\");\\n\\t\\tInstances testInstances = dao.loadDataFromFile(\\\"dataset/wine-5-fold/wine-5-1tst.arff\\\");\\n\\t\\t//对训练样本进行处理\\n\\t\\tList<List<Instance>> instancesByClass = new ArrayList<List<Instance>>();\\n\\t\\tint numOfClass = trainInstances.numClasses();\\n\\t\\tfor(int i = 0; i < numOfClass; ++i) {\\n\\t\\t\\tList<Instance> list = new ArrayList<>();\\n\\t\\t\\tinstancesByClass.add(list);\\n\\t\\t}\\n\\t\\tfor(Instance inst: trainInstances) {\\n\\t\\t\\tint classValue = (int)inst.classValue();\\n\\t\\t\\tinstancesByClass.get(classValue).add(inst);\\n\\t\\t}\\n\\t\\tInstances trainInstances0v1 = new Instances(trainInstances);\\n\\t\\ttrainInstances0v1.clear();\\n\\t\\tfor(Instance inst: instancesByClass.get(0)) {\\n\\t\\t\\ttrainInstances0v1.add(inst);\\n\\t\\t}\\n\\t\\tfor(Instance inst: instancesByClass.get(1)) {\\n\\t\\t\\ttrainInstances0v1.add(inst);\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t\\t//对测试集进行处理\\n\\t\\tList<List<Instance>> instancesByClassTest = new ArrayList<List<Instance>>();\\n\\t\\tfor(int i = 0; i < numOfClass; ++i) {\\n\\t\\t\\tList<Instance> list = new ArrayList<>();\\n\\t\\t\\tinstancesByClassTest.add(list);\\n\\t\\t}\\n\\t\\tfor(Instance inst: testInstances) {\\n\\t\\t\\tint classValue = (int)inst.classValue();\\n\\t\\t\\tinstancesByClassTest.get(classValue).add(inst);\\n\\t\\t}\\n\\t\\tInstances testInstances0v1 = new Instances(trainInstances);\\n\\t\\ttestInstances0v1.clear();\\n\\t\\tfor(Instance inst: instancesByClassTest.get(0)) {\\n\\t\\t\\ttestInstances0v1.add(inst);\\n\\t\\t}\\n\\t\\tfor(Instance inst: instancesByClassTest.get(1)) {\\n\\t\\t\\ttestInstances0v1.add(inst);\\n\\t\\t}\\n\\t\\tClassifier classifier = new J48();\\t\\n\\t\\tclassifier.buildClassifier(trainInstances0v1);\\n\\t\\tEvaluation evaluation = new Evaluation(trainInstances0v1);\\n\\t\\tevaluation.evaluateModel(classifier, testInstances0v1);\\n\\t\\tdouble fitness = evaluation.areaUnderROC(0);\\n\\t\\tSystem.out.println(fitness);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ecc4867a95b43d8b6aafb0d15e724915\",\n \"score\": \"0.6265969\",\n \"text\": \"public static void main(String[] args) throws Exception\\n\\t{\\n\\t\\tfinal long time = System.currentTimeMillis();\\n\\t\\t\\n\\t\\t//Specify data \\n\\t\\tfinal String trainingSet = \\\"resources/titanic/trainClean.csv\\\";\\n\\t\\tfinal String testSet = \\\"resources/titanic/testClean.csv\\\";\\n\\t\\tfinal String predictOut = \\\"resources/titanic/predict.csv\\\";\\n\\t\\t\\n\\t\\tTitanic tt = new Titanic( trainingSet, testSet );\\n\\t\\ttt.train(); \\n\\t\\ttt.classify( predictOut );\\n\\t\\t\\t \\n\\t\\tSystem.out.println( \\\"Done. [\\\" + (System.currentTimeMillis() - time)/1000 + \\\" s]\\\" );\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e40aeb00b195712f2da1702de20f002\",\n \"score\": \"0.62658095\",\n \"text\": \"public static void main(String args[])\\r\\n\\t{\\r\\n\\t\\r\\n\\t \\r\\n\\t Classifier models [] = { new RandomForest(),\\r\\n\\t\\t\\t // new Logistic(),\\r\\n\\t\\t\\t \\t\\t\\t\\t\\tnew J48(),\\r\\n\\t // new RandomTree(),\\r\\n\\t //new ZeroR(),\\r\\n\\t // new DecisionTable(),\\r\\n\\t // new AdaBoostM1(),\\r\\n\\t // new ADTree(),\\r\\n\\t // new RBFNetwork() \\r\\n\\t\\t\\t \\t\\t\\t\\t\\tnew SMO()\\r\\n\\t };\\r\\n\\t \\r\\n\\t\\tlog_pred_baseline_balance clp = new log_pred_baseline_balance();\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t// Length of models\\r\\n\\t\\tfor(int j=0; j<models.length; j++)\\r\\n\\t\\t{\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tString classifier_name = models[j].getClass().getSimpleName();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfor(double thres=0.5; thres==0.5; thres=thres+0.1)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tclp.precision = new double[clp.iterations];\\r\\n\\t\\t\\t\\tclp.recall = new double[clp.iterations];\\r\\n\\t\\t\\t\\tclp.accuracy = new double[clp.iterations];\\r\\n\\t\\t\\t\\tclp.fmeasure = new double[clp.iterations];\\t\\r\\n\\t\\t\\t\\tclp.roc_auc = new double[clp.iterations];\\r\\n\\t\\t\\t \\r\\n\\t\\t\\t\\tclp.train_time= new long[clp.iterations];\\r\\n\\t\\t\\t\\tclp.test_time= new long[clp.iterations];\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tclp.no_of_features = new double[clp.iterations];\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\tfor(int i=0; i<clp.iterations; i++)\\r\\n\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t \\tclp.read_file(i+1);\\r\\n\\t\\t\\t\\t \\r\\n\\t\\t\\t\\t \\tclp.pre_process_data();\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t \\tclp.result = clp.pred2(models[j], thres,i);\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t \\t/*clp.precision[i] = clp.result.precision(1)*100;\\r\\n\\t\\t\\t\\t \\tclp.recall[i] = clp.result.recall(1)*100;\\r\\n\\t\\t\\t\\t \\tclp.accuracy[i] = clp.result.pctCorrect(); //not required to multiply by 100, it is already in percentage\\r\\n\\t\\t\\t\\t \\tclp.fmeasure[i] = clp.result.fMeasure(1)*100;\\r\\n\\t\\t\\t\\t \\tclp.roc_auc[i] = clp.result.areaUnderROC(1)*100;*/\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t \\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t clp.compute_avg_stdev_and_insert(classifier_name, thres, clp.precision, clp.recall, clp.accuracy, clp.fmeasure , clp.roc_auc, clp.train_time, clp.test_time );\\r\\n\\t\\t\\t \\r\\n\\t\\t\\t} // thres\\r\\n\\t\\t}\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9dbea97f4c61e609aac6667d670a78a9\",\n \"score\": \"0.6256686\",\n \"text\": \"public static void main(String[] args) {\\n//\\t\\tString csvFile = \\\"C:/Users/Nick/Documents/School/Pomona College/Sr 1st Sem/Eclipse Workspace/cs158_assignment3/src/ml/titanic-train.perc.csv\\\";\\n//\\t\\tDataSet dataset = new DataSet(csvFile);\\n//\\t\\tAveragePerceptronClassifier original = new AveragePerceptronClassifier();\\n//\\t\\tdouble myAccuracy = testClassifier(original, dataset);\\n//\\t\\tSystem.out.println(\\\"Accuracy was: \\\" + myAccuracy);\\n//\\t\\ttimeClassifier(original, dataset, 1000);\\n\\t\\t//testIterationOptimum(original, dataset);\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1b363cee63b46af0704dc06fb586dd0\",\n \"score\": \"0.62531734\",\n \"text\": \"public double classify(double[] featurevector) throws Exception {\\n\\n\\n\\t\\t eval = new Evaluation(data);\\n\\t\\t eval.setPriors(data);\\n\\t\\t //eval.useNoPriors();\\n\\n\\n\\t\\t //Instance i = new Instance(7.0, featurevector);\\n\\t\\t Instance i = new Instance(352);\\n\\t\\t for (int a = 0; a <=350; a++) i.setValue(a, featurevector[a]);\\n\\t\\t //System.out.println(i);\\n\\t\\t i.setDataset(data);\\n\\t\\t double mood = eval.evaluateModelOnce(classifier, i);\\n\\t\\t return mood;\\n\\t\\t //eval.evaluateModel(classifier, data);\\n\\n\\t\\t //eval.crossValidateModel(classifier, data, 10, new Random(1));\\n\\n\\t\\t //System.out.println(eval.pctCorrect());\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fef2c0929a6f8d78f5d40dad327c620e\",\n \"score\": \"0.62416035\",\n \"text\": \"public void trainMachine(){\\n\\t\\tdataSet.openFile();\\n\\t\\tdata = dataSet.readFile();\\n\\t\\tnum_of_rows = data.length;\\n\\t\\tnum_training_rows = (int) Math.round(((data.length)) * (0.75));\\n\\t\\t\\n\\t\\t// loop to find probabilities of each feature\\n\\t\\tfor(int i=0;i<num_training_rows;i++) {\\n\\t\\t\\t\\n\\t\\t\\tString[] token = data[i].split(\\\",\\\");\\n\\t\\t\\tcountPosetiveCases(token[5]);\\n\\t\\t\\t\\n\\t\\t\\tfor(int j=0;j<6;j++) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tclassification(token[j],token[5], j);\\n\\t\\t\\t\\ttotal = num_training_rows;\\n\\t\\t\\t\\t\\n\\t\\t\\t}// end inner for loop\\n\\t\\t\\t\\n\\t\\t}// end outer for loop\\n\\t\\t\\n\\t\\tselfEvaluation();\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae25668e439a0173c6f557ebd9e8e381\",\n \"score\": \"0.6230459\",\n \"text\": \"public static void main(String[] args) throws FileNotFoundException {\\n\\t\\tKNearest classification = new KNearest();\\n\\t\\t\\n\\t\\ttry {\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tclassification.LoadData(\\\"/Users/siyabonga/eclipse-workspace/Classification/src/com/classification/csv_result-KDDTrain+_20Percent.csv\\\");\\n\\t\\t\\tSystem.out.println(\\\"Loading data\\\");\\n\\t\\t\\tclassification.FeatureExtractionTraining();\\n\\t\\t\\tclassification.FeatureExtractionTest();\\n\\t\\t\\tclassification.KNN();\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\tcatch ( Exception e) {\\n\\t\\t\\t\\n\\t\\t\\tSystem.out.println(e);\\n\\t\\t}\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7d2ba82ddd57545a6de2f9957afa61f0\",\n \"score\": \"0.6210591\",\n \"text\": \"public static List<ClassifierResult> createFusionDatasets(IConfig config){\\n\\n/*\\t\\tboolean testDataSampling =config.getBooleanProperty(IConfig.PROPERTY_SAMPLING_TEST_DATA_FLAG); \\t\\n\\t\\tboolean devDataSampling =config.getBooleanProperty(IConfig.PROPERTY_SAMPLING_DEV_DATA_FLAG); \\n\\t\\t\\n\\t\\t//if both test and dev data sampling from training data, can't do it concurrently,\\n\\t\\t//since training data will shrink from both, and we don't want duplicate tweets\\n\\t\\tList<ClassifierResult> result=null;\\n\\t\\tif(testDataSampling && devDataSampling){\\n\\t\\t\\t//String result = \\\"\\\";\\n\\t\\t\\t//need to run both in serial\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tresult =createFusionTrainingDataset(config);\\n\\t\\t\\t\\tresult.addAll(createFusionTestingDataset(config));\\n\\t\\t\\t} catch (IOException e) {\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\treturn result;\\n\\t\\t}else{//can run concurrently\\n*/\\t\\t\\t\\n\\t\\tList<ClassifierResult> result=null;\\n\\t\\t\\tFusionTestingDatasetWorker worker1 = new FusionTestingDatasetWorker(config);\\n\\t\\t\\tFusionTrainingDatasetWorker worker2 = new FusionTrainingDatasetWorker(config);\\n\\n\\t\\t\\tThread t1 = new Thread(worker1);\\n\\t\\t\\tThread t2 = new Thread(worker2);\\n\\t\\n\\t\\t\\t\\n\\t\\t\\tt1.start();\\n\\t\\t\\tt2.start();\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tt1.join();\\n\\t\\t\\t\\tt2.join();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t//result+=\\\"development data classification results: \\\"+TweetParser.NEW_LINE+worker1.result;\\n\\t\\t\\t\\t//result+=\\\"testing data classification results: \\\"+TweetParser.NEW_LINE+worker2.result;\\n\\t\\t\\t\\tresult = worker1.result;\\n\\t\\t\\t\\tresult.addAll(worker2.result);\\n\\t\\t\\t\\treturn result;\\n\\t\\t\\t} catch (InterruptedException e) {\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t}\\n\\t//\\t}\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b30602cc2d2466325afee8bd7f939bb0\",\n \"score\": \"0.6206639\",\n \"text\": \"private void doTableType1(PrintStream p, double[][][] d, Vector nameResults,\\n int selector, String[] labels, String nameRel,\\n List algorithms, String Dataset, String dataType) {\\n\\n int [][] confusion_matrix = new int [1][4];\\n nFolds = d.length;\\n nOutputs = d[0][0].length / 2;\\n int nfold_real = d.length / algorithms.size();\\n if (selector != StatTest.tabularI) {\\n classSummary(d);\\n }\\n else {\\n // Confusion matrix = TP FN FP TN\\n confusion_matrix = confusion_matrix(d);\\n }\\n\\n //Print the headline\\n if (dataType.equalsIgnoreCase(\\\"TEST RESULTS\\\")) {\\n p.println();\\n p.println();\\n p.println(\\\"------------------------------------------------------\\\");\\n p.println(\\\"Table: Classification rate by algorithm and by fold\\\");\\n p.println(\\\"Dataset used: \\\" + Dataset);\\n p.println(\\\"------------------------------------------------------\\\");\\n }\\n\\n p.println();\\n p.println(dataType);\\n p.println();\\n\\n // Print the test\\n if (ProcessConfig.numberLine1 == 2) {\\n p.print(Dataset);\\n for (int i = 0; i < algorithms.size(); i++) {\\n p.print(\\\",\\\" + algorithms.get(i));\\n p.print(\\\",\\\" + algorithms.get(i));\\n }\\n\\n p.println();\\n if (selector != StatTest.tabularI) {\\n for (int i = 0; i < algorithms.size(); i++) {\\n p.print(\\\",\\\" + \\\"Correctly Classified\\\" + \\\",\\\" + \\\"Not Classified\\\");\\n }\\n }\\n else {\\n if (ProcessConfig.imbalancedMeasure == ProcessConfig.AUC) {\\n for (int i = 0; i < algorithms.size(); i++) {\\n p.print(\\\",\\\" + \\\"Area Under the ROC Curve\\\" + \\\",\\\" + \\\"Not Classified\\\");\\n }\\n }\\n else if (ProcessConfig.imbalancedMeasure == ProcessConfig.GMEAN) {\\n for (int i = 0; i < algorithms.size(); i++) {\\n p.print(\\\",\\\" + \\\"Geometric Mean\\\" + \\\",\\\" + \\\"Not Classified\\\");\\n }\\n }\\n else if (ProcessConfig.imbalancedMeasure == ProcessConfig.STANDARDACCURACY) {\\n for (int i = 0; i < algorithms.size(); i++) {\\n p.print(\\\",\\\" + \\\"Correctly Classified\\\" + \\\",\\\" + \\\"Not Classified\\\");\\n }\\n }\\n }\\n\\t\\t\\t\\n } else if (ProcessConfig.numberLine1 == 1) {\\n\\n p.print(Dataset);\\n for (int i = 0; i < algorithms.size(); i++) {\\n if (selector != StatTest.tabularI) {\\n p.print(\\\",\\\" + algorithms.get(i) + \\\"--\\\" + \\\"Correctly Classified\\\");\\n p.print(\\\",\\\" + algorithms.get(i) + \\\"--\\\" + \\\"Not Classified\\\");\\n }\\n else {\\n if (ProcessConfig.imbalancedMeasure == ProcessConfig.AUC) {\\n p.print(\\\",\\\" + algorithms.get(i) + \\\"--\\\" + \\\"Area Under the ROC Curve\\\");\\n p.print(\\\",\\\" + algorithms.get(i) + \\\"--\\\" + \\\"Not Classified\\\");\\n }\\n else if (ProcessConfig.imbalancedMeasure == ProcessConfig.GMEAN) {\\n p.print(\\\",\\\" + algorithms.get(i) + \\\"--\\\" + \\\"Geometric Mean\\\");\\n\\n p.print(\\\",\\\" + algorithms.get(i) + \\\"--\\\" + \\\"Not Classified\\\");\\n }\\n else if (ProcessConfig.imbalancedMeasure == ProcessConfig.STANDARDACCURACY) {\\n p.print(\\\",\\\" + algorithms.get(i) + \\\"--\\\" + \\\"Correctly Classified\\\");\\n p.print(\\\",\\\" + algorithms.get(i) + \\\"--\\\" + \\\"Not Classified\\\");\\n }\\n }\\n }\\n }\\n\\n\\t\\tif (selector == StatTest.tabularI) {\\n for (int j = 0; j < nfold_real; j++) {\\n p.println();\\n p.print(\\\"Fold\\\" + j);\\n\\n double measure, unc_measure;\\n int TP = confusion_matrix[j][0];\\n int FN = confusion_matrix[j][1];\\n int FP = confusion_matrix[j][2];\\n int TN = confusion_matrix[j][3];\\n\\n int total_instances = TP + FN + FP + TN;\\n\\n measure = 0;\\n if (ProcessConfig.imbalancedMeasure == ProcessConfig.AUC) {\\n double TPrate = (double)TP/(double)(TP+FN);\\n double FPrate = (double)FP/(double)(FP+TN);\\n if (((TP+FN) == 0) || ((FP+TN) == 0)) {\\n \\tmeasure = 0;\\n }\\n else {\\n \\tmeasure = (double)(1+TPrate-FPrate)/2.0;\\n }\\n }\\n else if (ProcessConfig.imbalancedMeasure == ProcessConfig.GMEAN) {\\n measure = Math.sqrt(((double)TP/(double)(TP+FN)) * ((double)TN/(double)(FP+TN)));\\n }\\n else if (ProcessConfig.imbalancedMeasure == ProcessConfig.STANDARDACCURACY) {\\n measure = (double)(TP+TN)/(double)total_instances;\\n }\\n unc_measure = 0;\\n for (int k = 0; k < nOutputs*2; k++) {\\n \\tunc_measure += unclassified[0][j][k];\\n }\\n \\n for (int k = 0; k < nOutputs; k++) {\\n \\tfor (int n = 0; n < algorithms.size(); n++) {\\n p.print(\\\",\\\" +\\n dfTable1.format(measure) + \\\",\\\" +\\n dfTable1.format((double)unc_measure/(double)total_instances));\\n }\\n }\\n\\t\\t\\t\\t\\n } \\n }\\n else {\\n for (int j = 0; j < nfold_real; j++) {\\n p.println();\\n p.print(\\\"Fold\\\" + j);\\n for (int k = 0; k < nOutputs; k++) {\\n for (int n = 0; n < algorithms.size(); n++) {\\n p.print(\\\",\\\" +\\n dfTable1.format((1 - differences[0][j +\\n nfold_real * n][k])) + \\\",\\\" +\\n dfTable1.format(unclassified[0][j +\\n nfold_real * n][k]));\\n }\\n }\\n }\\n }\\n\\n p.println();\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5876849f2a8cf464dd899f6c838364c2\",\n \"score\": \"0.61993915\",\n \"text\": \"public static void main(String [] argv) {\\n runClassifier(new IBk(), argv);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9065fa598d0e37d2202b34cdcff968b5\",\n \"score\": \"0.6194583\",\n \"text\": \"public void classify( final String predictOut ) throws Exception\\n\\t{\\t\\t\\n\\t\\tSystem.out.println( \\\"Predict outcome.\\\");\\n\\t\\tPrintWriter out = TextFileAccess.openFileWrite( predictOut ); \\n\\t\\tout.println( \\\"PassengerId,Survived\\\" ); \\n\\t\\tInstance currentInstance; \\n\\t\\tfor( int m = 0; m < getTestData().numInstances(); m++ ) \\n\\t\\t{\\n\\t\\t\\tfinal String id = getTestIds().get( m ); \\n\\t\\t\\tcurrentInstance = getInputMappedClassifier().constructMappedInstance( getTestData().get( m ) );\\n\\t\\t\\t \\n\\t\\t\\tfinal double survived = getClassifier().classifyInstance( currentInstance );\\n\\t\\t\\tout.println( id + \\\",\\\" + (int) survived ); \\n\\t\\t}\\n\\t\\tout.flush();\\n\\t\\tout.close();\\n\\t\\tSystem.out.println( \\\"Predict outcome. Done.\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"90238e686d89c8ef2c5d8fcb0268beaa\",\n \"score\": \"0.6176759\",\n \"text\": \"private static List<Classifier> diversifyClassifiers(List<Classifier> classifiers, double qThreshold) {\\n\\n\\t\\tLogger log = LoggerFactory.getInstance();\\n\\t\\tlog.log_debug(\\\"diversifying classifyiers\\\");\\n\\n\\t\\tif((classifiers == null) || classifiers.isEmpty()){\\n\\t\\t\\tlog.log_error(\\\"cannot diversify classifers while building decision profile: empty dataset or classifiers\\\");\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\n\\t\\tList<Classifier> res = new ArrayList<Classifier>(classifiers.size());\\n\\n\\t\\t//build a confusion matrix for each classifier pair\\n\\t\\t//iterate all classifiers to compare them to each other\\n\\t\\tfor(int i = 0;i<classifiers.size();i++){\\n\\n\\t\\t\\tClassifier c1 = classifiers.get(i);\\n\\t\\t\\t//don't re-compare a classifier that's already been compared to all others\\n\\t\\t\\t//that is, have j index start from i to skip unecessary checks\\n\\t\\t\\t//that have already been done. (we don't want to include a classifier twice into the\\n\\t\\t\\t//diverse classifier result)\\n\\n\\t\\t\\tfor(int j = i+1;j<classifiers.size();j++){// +1 to j to avoid building a confusion matrix comparing the same classifier to itself\\n\\t\\t\\t\\tClassifier c2 = classifiers.get(j);\\n\\n\\t\\t\\t\\t//about to build the confusion matrix\\n\\n\\t\\t\\t\\tint bothCorrect = 0;//(a)number of instances where both classifiers predicted corerctly\\n\\t\\t\\t\\tint c1Correctc2Wrong = 0;//(c)number of instances where classifier c1 predicted corerctly but c2 did not\\n\\t\\t\\t\\tint c1Wrongc2Correct = 0;//(b)number of instances where classifier c1 predicted wrong but c2 was correct\\n\\t\\t\\t\\tint bothWrong = 0;//(d)number of instances where both classifiers predicted wrong\\n\\n\\t\\t\\t\\t//iterate all the test instances to get the actual labels and compare to predictions\\n\\t\\t\\t\\tint numInstances = c1.size();\\n\\t\\t\\t\\tfor(int k=0;k<numInstances;k++){\\n\\t\\t\\t\\t\\tLabel realTag = c1.getRealLabel(k);\\n\\t\\t\\t\\t\\tLabel c1Prediction = c1.getPredictedLabel(k);\\n\\t\\t\\t\\t\\tLabel c2Prediction = c2.getPredictedLabel(k);\\n\\n\\t\\t\\t\\t\\t//both the same?\\n\\t\\t\\t\\t\\tif(c1Prediction.equals(c2Prediction)){\\n\\n\\t\\t\\t\\t\\t\\t//correct?\\n\\t\\t\\t\\t\\t\\tif(c1Prediction.equals(realTag)){\\n\\t\\t\\t\\t\\t\\t\\tbothCorrect++;\\n\\t\\t\\t\\t\\t\\t}else{//wrong\\n\\t\\t\\t\\t\\t\\t\\tbothWrong++;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}else{\\n\\t\\t\\t\\t\\t\\t//c1 correct?\\n\\t\\t\\t\\t\\t\\tif(c1Prediction.equals(realTag)){\\n\\t\\t\\t\\t\\t\\t\\tc1Correctc2Wrong++;\\n\\t\\t\\t\\t\\t\\t}else{// c2 wrong\\n\\t\\t\\t\\t\\t\\t\\tc1Wrongc2Correct++;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}//end checking prediction equalness\\n\\t\\t\\t\\t}//end iterate isntances\\n\\n\\n\\t\\t\\t\\tdouble q = ((double)((bothCorrect*bothWrong) - (c1Wrongc2Correct*c1Correctc2Wrong) ))/(double)((bothCorrect*bothWrong) + (c1Wrongc2Correct*c1Correctc2Wrong));\\n\\n\\t\\t\\t\\t//note that the below logic could be a source of error, since the paper wasn't clear on how they decided if a classifier should be\\n\\t\\t\\t\\t//added or not, since q measure is for pairs of classifiers, yet the decision is left to determining if a classifier is generally\\n\\t\\t\\t\\t//diverse to add it. So logic here is if Q statistic meets the requirement, then we add both classifiers, otherwise don't (their too similar)\\n\\n\\t\\t\\t\\t//divesrse classifiers?\\n\\t\\t\\t\\tif(q < qThreshold){\\n\\t\\t\\t\\t\\t//classifiers are diverse, add them if not already added\\n\\t\\t\\t\\t\\tboolean c1FoundInResult = false;\\n\\t\\t\\t\\t\\tboolean c2FoundInResult = false;\\n\\t\\t\\t\\t\\t//see if the classifiers c1 and c2 already added to result?\\n\\t\\t\\t\\t\\tfor(Classifier c :res){\\n\\t\\t\\t\\t\\t\\tif(c == c1){\\n\\t\\t\\t\\t\\t\\t\\tc1FoundInResult=true;\\n\\t\\t\\t\\t\\t\\t}else if (c==c2){\\n\\t\\t\\t\\t\\t\\t\\tc2FoundInResult=true;\\n\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t//not already added c1 to result?\\n\\t\\t\\t\\t\\tif(!c1FoundInResult){\\n\\t\\t\\t\\t\\t\\tres.add(c1);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t//not already added c1 to result?\\n\\t\\t\\t\\t\\tif(!c2FoundInResult){\\n\\t\\t\\t\\t\\t\\tres.add(c2);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}//end diversity threshold satisfied\\n\\t\\t\\t}//end internal loop\\n\\t\\t}//end external forloop\\n\\n\\t\\treturn res;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a9357d0633b2029fef1c26556749ce5e\",\n \"score\": \"0.6160432\",\n \"text\": \"@Override\\r\\n\\tpublic List<Boolean> classify(List<List<Feature>> aFeatures)\\r\\n\\t\\tthrows CleartkProcessingException\\r\\n\\t{\\r\\n\\t\\tList<Boolean> outcomes = new ArrayList<Boolean>();\\r\\n\\t\\tList<ScoredOutcome<Boolean>> scores = score(aFeatures);\\r\\n\\t\\tfor (ScoredOutcome<Boolean> s : scores) {\\r\\n\\t\\t\\toutcomes.add(s.getOutcome());\\r\\n\\t\\t}\\r\\n\\t\\treturn outcomes;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f469ccdd4c7a8e1e6c52d68e04289504\",\n \"score\": \"0.6148156\",\n \"text\": \"private void doTableType2(Hashtable ht, int numberLine, PrintStream p,\\n double[][][] d, Vector nameResults, int selector,\\n String[] labels, List algorithms, String Dataset,\\n String dataType) {\\n\\n List typeclasses = new ArrayList();\\n classSummary(d);\\n\\n for (int classes = 0; classes < labels.length; classes++) {\\n typeclasses.add(labels[classes]);\\n }\\n\\n if (dataType.equalsIgnoreCase(\\\"TEST RESULTS\\\")) {\\n\\n // Print the headline\\n p.println();\\n p.println();\\n p.println(\\n \\\"--------------------------------------------------------------\\\");\\n p.println(\\n \\\"Table: Classification rate by fold, by algorithm and by class\\\");\\n p.println(\\\"Dataset used: \\\" + Dataset);\\n p.println(\\n \\\"--------------------------------------------------------------\\\");\\n\\n }\\n\\n p.println();\\n p.println(dataType);\\n p.println();\\n\\n // Print the headline in one or two lines\\n if (ProcessConfig.numberLine2 == 1) {\\n p.print(Dataset);\\n for (int j = 0; j < algorithms.size(); j++) {\\n for (int i = 0; i < typeclasses.size(); i++) {\\n p.print(\\\",\\\" + algorithms.get(j) + \\\"\\\\\\\\\\\" + typeclasses.get(i));\\n }\\n }\\n } else if (ProcessConfig.numberLine2 == 2) {\\n p.print(Dataset);\\n for (int j = 0; j < algorithms.size(); j++) {\\n for (int i = 0; i < typeclasses.size(); i++) {\\n p.print(\\\",\\\" + algorithms.get(j));\\n }\\n }\\n p.println();\\n for (int j = 0; j < algorithms.size(); j++) {\\n for (int i = 0; i < typeclasses.size(); i++) {\\n p.print(\\\",\\\" + typeclasses.get(i));\\n }\\n }\\n }\\n\\n int nfold = d.length;\\n int nsamples[] = new int[nfold];\\n int nfold_real = nfold / algorithms.size();\\n nOutputs = d[0][0].length / 2;\\n\\n String vclass_estimated;\\n String vclass_real;\\n InformationAboutClass nclass;\\n\\n for (int fold = 0; fold < nfold; fold++) {\\n nsamples[fold] = d[fold].length;\\n }\\n\\n for (int fold = 0; fold < nfold_real; fold++) {\\n p.println();\\n p.print(\\\"Fold\\\" + fold);\\n\\n //By each algorithm\\n for (int n = 0; n < algorithms.size(); n++) {\\n\\n for (int sample = 0; sample < nsamples[fold]; sample++) {\\n for (int out = 0; out < nOutputs; out++) {\\n //InformationAboutClass nclass;\\n vclass_real = doLabel(d[fold +\\n nfold_real * n][sample][out],\\n labels);\\n\\n //Check if this class is in the hashTable\\n if (ht.containsKey(vclass_real)) {\\n nclass = (StatTest.InformationAboutClass) ht.get(\\n vclass_real);\\n }\\n //If this class is not in the hashTable, we add it\\n else {\\n nclass = new InformationAboutClass(vclass_real);\\n ht.put(vclass_real, nclass);\\n }\\n\\n // Check if real class and estimated class are the same\\n vclass_estimated = doLabel(d[fold +\\n nfold_real * n][sample][out +\\n nOutputs],\\n labels);\\n\\n if (vclass_real.equals(vclass_estimated)) {\\n nclass.setCorrectClassifications(nclass.\\n getCorrectClassifications() + 1);\\n } else {\\n nclass.setMistakeClassifications(nclass.\\n getMistakeClassifications() + 1);\\n nclass.setMistakeClass(vclass_estimated);\\n }\\n nclass.setTotalNumberClass(nclass.getTotalNumberClass() +\\n 1);\\n\\n }\\n }\\n\\n //Print a row of the table\\n for (int i = 0; i < typeclasses.size(); i++) {\\n\\n InformationAboutClass other_class = (StatTest.\\n InformationAboutClass) ht.get(typeclasses.get(i));\\n\\n //If this class is not in hashTable\\n if (other_class == null) {\\n p.print(\\\",\\\" + dfTable1.format(0.0));\\n } else {\\n if (other_class.getTotalNumberClass() != 0) {\\n p.print(\\\",\\\" +\\n dfTable1.format((double) other_class.\\n getCorrectClassifications() /\\n other_class.getTotalNumberClass()));\\n }\\n\\n }\\n\\n }\\n\\n ht.clear();\\n\\n }\\n }\\n\\n p.println();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed1e69fdb99528340e55b0c91663e19f\",\n \"score\": \"0.6141197\",\n \"text\": \"public static void main(String args[]) throws FileNotFoundException, UnsupportedEncodingException {\\n\\t\\t\\r\\n\\t\\tFile trainFile = new File(args[0]);\\r\\n\\t\\tFile testFile = new File(args[1]);\\r\\n\\t\\t\\r\\n\\t\\ttrain = readData.readFile(trainFile, true);\\r\\n\\t\\ttest = readData.readFile(testFile, false);\\r\\n\\t\\t\\r\\n\\t\\tClassifier classifier = new Classifier(train);\\r\\n\\t\\tint x = 1;\\r\\n\\t\\t\\r\\n\\t\\tfor(Feature i : test) {\\r\\n\\t\\t\\tSystem.out.println(\\\"Classifying email \\\" +x+\\\" (Vector F\\\" + x +\\\")...\\\");\\r\\n\\t\\t\\tboolean spam = classifier.classify(i);\\r\\n\\t\\t\\tclassified.add(spam);\\r\\n\\t\\t\\tx++;\\r\\n\\t\\t\\tSystem.out.println(\\\"--------------------------------------------------------\\\");\\r\\n\\t\\t}\\r\\n\\t\\treadData.outputFile(testFile,classified);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79efa845a862f0e56df01a12175908eb\",\n \"score\": \"0.61337095\",\n \"text\": \"public static List<ClassifierResult> createFusionTestingDataset(IConfig config) throws IOException {\\n\\n\\n\\t\\t//get the absoulute path by concatenating root path and relative path of files\\n\\t\\t//Path stanfordNLPJarPath = Paths.get(config.getProperty(IConfig.PROPERTY_ROOT_PATH),config.getProperty(IConfig.PROPERTY_CORE_STANFORD_NLP_JAR_PATH));\\n\\t\\t//Path propPath = Paths.get(config.getProperty(IConfig.PROPERTY_ROOT_PATH),config.getProperty(IConfig.PROPERTY_CLASSIFIER_PROP_FILE));\\n\\n\\t\\t//ClassifierBuilder classifierBuilder = new ClassifierBuilder(stanfordNLPJarPath.toString(),propPath.toString());\\n\\n\\t\\t\\n\\t\\t\\n\\n\\t\\tPath testDataPath = null;\\n\\t\\tPath trainDatasetPath = null;\\n\\t\\t\\n\\t\\t/*boolean testDataSampling =config.getBooleanProperty(IConfig.PROPERTY_SAMPLING_TEST_DATA_FLAG); \\t\\n\\t\\t\\n\\t\\t//are we sampling from the training dataset to create the clean test dataset?\\n\\t\\tif(testDataSampling){\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tFile sampledTestDataFile = File.createTempFile(\\\"sampledTestData\\\", null);\\n\\t\\t\\tFile newTrainignDataFile = File.createTempFile(\\\"newTrainingData\\\", null);\\n\\t\\t\\t\\n\\t\\t\\tdouble sampleProb = config.getDoubleProperty(IConfig.PROPERTY_TEST_DATA_PROPORTION);\\n\\t\\t\\t\\n\\t\\t\\tString src = config.getProperty(IConfig.PROPERTY_CLEANED_TRAINING_DATA_FILE);\\n\\t\\t\\t\\n\\t\\t\\t//create the dev data and remove samples from training data\\n\\t\\t\\tFileHandler.createSampleFile(src, newTrainignDataFile.getAbsolutePath(), sampledTestDataFile.getAbsolutePath(), sampleProb);\\n\\t\\t\\t\\n\\t\\t\\ttestDataPath=sampledTestDataFile.toPath();\\n\\t\\t\\ttrainDatasetPath=newTrainignDataFile.toPath();\\n\\t\\t\\t\\t\\n\\t\\t}else{//not sampling, just use the files as usual\\n*/\\n\\t\\t\\t//testDataPath = Util.parseAndVerifyPath(config,IConfig.PROPERTY_CLEANED_TESTING_DATA_FILE);\\n\\t\\t\\t\\n\\t\\t\\n\\t\\t\\ttestDataPath = Util.tryParsePath(config,IConfig.PROPERTY_CLEANED_TESTING_DATA_FILE);\\n\\t\\t\\t\\n\\n\\t//\\t\\ttrainDatasetPath = Util.parseAndVerifyPath(config,IConfig.PROPERTY_CLEANED_TRAINING_DATA_FILE);\\n\\t\\t\\t\\n\\t\\t\\ttrainDatasetPath=Util.tryParsePath(config,IConfig.PROPERTY_CLEANED_TRAINING_DATA_FILE);\\n\\t\\t\\t\\n\\t\\t//}\\n\\t\\t\\n\\t\\t\\n\\n\\t\\tLogger log = LoggerFactory.getInstance();\\n\\t\\tlog.log_info(\\\"creating fusion testing data by running classifiers on test data...\\\");\\n\\t\\t/*\\n\\t\\t * train and then run the development data trhough the classifiers\\n\\t\\t * Note that all classifiers trained on same dataset, so they will\\n\\t\\t * have the same number of classifier instances\\n\\t\\t */\\n\\t\\tList<AbstractClassifier> classifiers = new ArrayList<AbstractClassifier>(4);\\n\\n\\t\\tfor(String classifierId : CLASSIFIERS_USED){\\n\\t\\t\\tAbstractClassifier classifier = ClassifierBuilder.build(classifierId,testDataPath.toString(),trainDatasetPath.toString(),config);\\n\\t\\t\\t//make new trheads\\n\\t\\t\\t//classifier.trainAndClassify();//trains (if applicatble) the model off training data and tests on the test data\\n/*\\n\\t\\t\\t//is it the nlp-based appraoch?\\n\\t\\t\\tif(classifier instanceof NLPBasedClassifier){\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t//set the predictions fiel (if it exists) to nlp classifier\\n\\t\\t\\t\\tString nlpPredictionsFile = config.getProperty(IConfig.PROPERTY_CLEANED_NLP_BASED_LABELED_TESTING_DATA_FILE);\\n\\t\\t\\t\\tNLPBasedClassifier nlpClassifier = (NLPBasedClassifier) classifier;\\n\\t\\t\\t\\tnlpClassifier.setNLPBasedPredictionsFile(nlpPredictionsFile);\\n\\t\\t\\t}*/\\n\\t\\t\\t\\n\\t\\t\\tclassifiers.add(classifier);\\n\\t\\t}\\n\\n\\t\\t//train in parrallel\\n\\t\\tClassifierRunner.runClassifiers(classifiers);\\n\\t\\tlog.log_info(\\\"finished running all in fusino testing\\\");\\n\\t\\t\\n\\t/*\\tString result = \\\"\\\";\\n\\t\\t\\n\\t\\tList<Label> labelset = AbstractClassifier.getLabelSet(config);\\n\\t\\t\\n\\t\\t//print performance of each classifier\\n\\t\\tfor(AbstractClassifier c : classifiers){\\n\\t\\t\\t//output the performance of each classifier\\n\\t\\t\\t\\n\\t\\t\\tresult += c.stringifyPerformance(labelset) +TweetParser.NEW_LINE;\\n\\t\\t\\t\\n\\n\\t\\t}\\n*/\\n\\n\\t\\t//throw new IllegagelStaeExeption(\\\"need to parreleilize\\\");\\n\\n\\t\\t//for completness, make sure classifiers exist\\n\\t\\tif(classifiers.isEmpty()){\\n\\t\\t\\tlog.log_error(\\\"failed to classify any classifier succesfully, exiting...\\\");\\n\\t\\t\\tSystem.exit(1);\\n\\t\\t}\\n\\t\\t//note that size of first classifier is equal to all others\\n\\t\\tint numberOfInstances = classifiers.get(0).size();\\n\\n\\n\\t\\tlog.log_debug(\\\"merging test fusion instances...\\\");\\n\\n\\t\\tList<FusionInstance> fusionTestData = new ArrayList<FusionInstance>(numberOfInstances);\\n\\n\\t\\t//iterate all the dev data preditions for each classifier and create fusion sample/datum\\n\\t\\tfor(int i = 0; i < numberOfInstances;i++){\\n\\t\\t\\tLabel testSample = classifiers.get(0).getRealLabel(i);\\n\\n\\t\\t\\t//create the fusion testing sample\\n\\t\\t\\tFusionInstance fusionDatum = new FusionInstance(testSample);\\n\\n\\t\\t\\t//iterate all the classifier's predictions for the ith test sample and create a fusion test sample\\n\\t\\t\\tfor(AbstractClassifier c : classifiers){\\n\\t\\t\\t\\tLabel prediction = c.getPredictedLabel(i);\\n\\t\\t\\t\\tfusionDatum.addPrediction(prediction);\\n\\t\\t\\t}\\n\\n\\n\\n\\t\\t\\t//add fusion sample to fusion testing data\\n\\t\\t\\tfusionTestData.add(fusionDatum);\\n\\t\\t}\\n\\n\\t\\t//Path fusionTestingOutputPath = Paths.get(config.getProperty(IConfig.PROPERTY_ROOT_PATH),config.getProperty(IConfig.PROPERTY_FUSION_TESTING_DATA_FILE));\\n\\t\\tPath fusionTestingOutputPath=Util.tryParsePath(config,IConfig.PROPERTY_FUSION_TESTING_DATA_FILE);\\n\\n\\t\\tif(!fusionTestingOutputPath.toFile().exists()){\\n\\t\\t\\tFileHandler.createFile(fusionTestingOutputPath);\\n\\t\\t}\\n\\n\\n\\t\\tFileAppender fileIO = new FileAppender(fusionTestingOutputPath,Main.FILE_BUFFER_SIZE);\\n\\t\\tlog.log_debug(\\\"appending test fusion instances to :\\\"+fusionTestingOutputPath.toString());\\n\\t\\tfileIO.open();\\n\\n\\t\\t//now create the fusion testing dataset file to allow new phase (R script) to test fusion model\\n\\t\\tfor(FusionInstance fd: fusionTestData){\\n\\n\\t\\t\\tString outputLine = fd.toString()+TweetParser.NEW_LINE;\\n\\t\\t\\t//FileHandler.append(fusionTestingOutputPath, outputLine.getBytes());\\n\\t\\t\\tfileIO.append(outputLine);\\n\\t\\t}\\n\\n\\t\\tfileIO.flush();\\n\\t\\tfileIO.close();\\n\\t\\t\\n\\t\\t\\n\\t\\tlog.log_info(\\\"finished appending test fusion instances...\\\");\\n\\t\\t\\n\\t\\tList<Label> labelset = AbstractClassifier.getLabelSet(config);\\n\\t\\tList<ClassifierResult> results = new ArrayList<ClassifierResult>(classifiers.size());\\n\\t\\t\\n\\t\\tfor(AbstractClassifier c : classifiers){\\n\\t\\t\\tClassifierResult res = c.computeClassifierResult(labelset);\\n\\t\\t\\tString name = res.getClassifierName();\\n\\t\\t\\t\\n\\t\\t\\tname= \\\"Fusion Testing result: \\\"+name;\\n\\t\\t\\tres.setClassifierName(name);\\n\\t\\t\\t\\n\\t\\t\\tresults.add(res);\\n\\t\\t}\\n\\t\\treturn results;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b09f0dce3469b872e34bad1b199f7400\",\n \"score\": \"0.6131872\",\n \"text\": \"private static void classify(String arffTrain, String classifyFile, double c, double gamma) throws IOException\\n {\\n String arffClassify = readDataAndConvertToArff(classifyFile, false); \\n \\n DataReader reader = new DataReader(arffTrain, arffClassify);\\n \\n Instances train = reader.getTrainingData();\\n Instances classify = reader.getTestData(); \\n \\n SVM svm = new SVM(train, classify); \\n svm.setParameters(svm.SVM_C_SVC, SVM.KERNEL_RBF_STRING, c, gamma);\\n svm.buildClassifier();\\n \\n FileWriter f1 = new FileWriter(\\\"results/svm_results.txt\\\");\\n String newLine = System.getProperty(\\\"line.separator\\\");\\n \\n for (int i = 0; i < classify.numInstances(); i++) {\\n double pred = 0;\\n try {\\n pred = svm.getclassifier().classifyInstance(classify.instance(i));\\n } catch (Exception e) {\\n // TODO Auto-generated catch block\\n e.printStackTrace();\\n }\\n \\n f1.write(i +\\\", \\\"+ (int) pred + newLine);\\n }\\n \\n f1.close();\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1104ed096e44f4fb8353d2f0421a199b\",\n \"score\": \"0.61312956\",\n \"text\": \"public Map<TrafficFeature, Double> classifyResults() {\\n List<Map<TrafficFeature, List<String>>> traffics = getIns();\\n Map<TrafficFeature, Double> results = new LinkedHashMap<TrafficFeature, Double>();\\n for (Map<TrafficFeature, List<String>> list : traffics) {\\n Instances ins = classifier.getInstances(list);\\n Set<TrafficFeature> keySet = list.keySet();\\n int i = 0;\\n for (TrafficFeature feature : keySet) {\\n double value = classifier.classify(RBF, ins.instance(i++));\\n if (results.containsKey(feature)) {\\n results.put(feature, results.get(feature) + value);\\n } else {\\n\\n results.put(feature, value);\\n }\\n }\\n }\\n return results;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37dbe986a763dd1bd0fdd40d487a0e36\",\n \"score\": \"0.6125711\",\n \"text\": \"public ClassificationResult<String> classifyImage(FImage image){\\n\\t\\treturn annotator.classify(image);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8317d28d905ccd521d675bf84350cf2a\",\n \"score\": \"0.6113389\",\n \"text\": \"public void test_stats() throws BoostingAlgorithmException {\\n\\t\\tboolean class_list[];\\n\\t\\tint result;\\n\\t\\tint[] statistics = {0, 0, 0, 0};\\n\\t\\tint s = 0;\\n\\t\\t//System.out.println(data.classes[150]);\\n\\t\\tfor (int i = 0; i < data.linecount-1; i++) {\\n\\t\\t\\t//only test against data not in the training set\\n\\t\\t\\tif (s<training_indices.length && i == training_indices[s]) {\\n\\t\\t\\t\\ts++;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tclass_list = this.classify(i);\\n\\t\\t\\t\\tresult = this.compare(class_list, i);\\n\\t\\t\\t\\t//System.out.println(s+\\\", \\\"+i+\\\": \\\"+result);\\n\\t\\t\\t\\tstatistics[result] += 1;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tSystem.out.println(\\\"General Test Data results:\\\");\\n\\t\\tthis.print_statistics(statistics);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3489d5a97234d99a04fbfc22dc1d3611\",\n \"score\": \"0.61039966\",\n \"text\": \"public final boolean classify() throws ClassificationException\\n\\t{\\n\\t\\ttry\\n\\t\\t{\\n\\t\\t\\tVector oSubjectDistance = new Vector();\\n\\t\\t\\tint iFirstID = 0;\\n\\t\\t\\tint iSecondID = 0;\\n\\n\\t\\t\\trestore();\\n\\n\\t\\t\\tif(this.oIDs.size() == 0)\\n\\t\\t\\t{\\n\\t\\t\\t\\tMARF.debug(\\\"RandomClassification.classify() --- ID set is of 0 length\\\");\\n\\n\\t\\t\\t\\tVector oZeros = new Vector();\\n\\n\\t\\t\\t\\toZeros.add(new Integer(iFirstID));\\n\\t\\t\\t\\toZeros.add(new Double(0));\\n\\n\\t\\t\\t\\toSubjectDistance.add(oZeros);\\n\\t\\t\\t\\toSubjectDistance.add(oZeros);\\n\\t\\t\\t}\\n\\t\\t\\telse\\n\\t\\t\\t{\\n\\t\\t\\t\\t// Collect for stats\\n\\t\\t\\t\\t// XXX: Move to StatsCollector\\n\\t\\t\\t\\tVector oIDDistancePair;\\n\\n\\t\\t\\t\\tiFirstID = ((Integer)this.oIDs.elementAt((int)(this.oIDs.size() * (new Random().nextDouble())))).intValue();\\n\\t\\t\\t\\tiSecondID = iFirstID;\\n\\n\\t\\t\\t\\t// Pick a different second best ID if there are > 1 IDs in there\\n\\t\\t\\t\\twhile(iSecondID == iFirstID && this.oIDs.size() > 1)\\n\\t\\t\\t\\t\\tiSecondID = ((Integer)this.oIDs.elementAt((int)(this.oIDs.size() * (new Random().nextDouble())))).intValue();\\n\\n\\t\\t\\t\\tMARF.debug(\\\"RandomClassification.classify() --- ID1 = \\\" + iFirstID + \\\", ID2 = \\\" + iSecondID);\\n\\n\\t\\t\\t\\toIDDistancePair = new Vector();\\n\\n\\t\\t\\t\\toIDDistancePair.add(new Integer(iFirstID));\\n\\t\\t\\t\\toIDDistancePair.add(new Double(0));\\n\\t\\t\\t\\toSubjectDistance.add(oIDDistancePair);\\n\\n\\t\\t\\t\\toIDDistancePair = new Vector();\\n\\n\\t\\t\\t\\toIDDistancePair.add(new Integer(iSecondID));\\n\\t\\t\\t\\toIDDistancePair.add(new Double(1));\\n\\t\\t\\t\\toSubjectDistance.add(oIDDistancePair);\\n\\t\\t\\t}\\n\\n\\t\\t\\tthis.oResult = new Result(iFirstID, oSubjectDistance);\\n\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\tcatch(IOException e)\\n\\t\\t{\\n\\t\\t\\tthrow new ClassificationException(e.getMessage());\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99ec4d21a5e87b25ff9805fc741b44c4\",\n \"score\": \"0.60974854\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\t\\n\\t\\tif (args.length != 2) {\\n\\t\\t\\tSystem.out.println(\\\"You should give exactly 2 argumetns as input which are names of training data and test data files\\\");\\n\\t\\t\\tSystem.exit(1);\\n\\n\\t\\t}\\n\\t\\t//System.out.println(\\\"Programm in Execution\\\");\\n\\t\\tString trainingDataPath = args[0];\\n\\t\\tString testDataPath = args[1];\\n\\t\\t\\n\\t\\t\\n\\t\\tFile trainingData = new File(trainingDataPath);\\n\\t\\tFile testData = new File(testDataPath);\\n\\t\\tboolean readFlag = false;\\n\\t\\t// Need the following flags while reading file\\n\\t\\tboolean isTrainingrecord = true;\\n\\t\\tboolean isTestrecord = false;\\n\\t\\tint trainingSet = 0;\\n\\t\\tfor (File file: trainingData.listFiles())\\n\\t\\t{\\n\\t\\t\\tArrayList<Feature> usedAttributes = new ArrayList<Feature>();\\n\\t\\t\\t//Path should not contain any sub folders\\n\\t\\t\\tif(file.isDirectory())\\n\\t\\t\\t{\\n\\t\\t\\t\\tSystem.out.println(\\\"Something is wrong. Can't have subfolders\\\");\\n\\t\\t\\t}\\n\\t\\t\\n\\t\\treadFlag = false;\\n\\t\\t//Create new Record set for each model to be built\\n\\t\\tArrayList<Record> trainingRecord = new ArrayList<Record>();\\n\\t\\t//Add it to the trainingRecords which contains training record for each model\\n\\t\\ttrainingRecords.add(trainingRecord);\\n\\t\\treadFlag = hw1\\n\\t\\t\\t\\t.ReadFile(file, trainingRecords.get(trainingSet), isTrainingrecord, trainingSet);\\n\\t\\tif (readFlag == false) {\\n\\t\\t\\tSystem.out.println(\\\"Error reading File.\\\");\\n\\t\\t\\tSystem.exit(1);\\n\\t\\t}\\n\\t\\t\\n\\t\\tFeature attribute;\\n\\t\\tfor (int i = 0; i < attributes.get(trainingSet).size(); i++) {\\n\\t\\t\\tattribute = attributes.get(trainingSet).get(i);\\n\\t\\t\\t//System.out.print(\\\" \\\" + attribute.name + \\\" \\\" + attribute.MAX);\\n\\t\\t}\\n\\t\\tNode root = hw1.new Node(trainingRecords.get(trainingSet));\\n\\t\\tTree tree = hw1.new Tree();\\n\\t\\t//Add each tree to the list of trees\\n\\t\\ttrees.add(tree);\\n\\t\\tfor (int i = 0; i < attributes.get(trainingSet).size(); i++) {\\n\\t\\t\\tString temp = attributes.get(trainingSet).get(i).name;\\n\\t\\t//\\tSystem.out.println(\\\"attribute \\\" + temp);\\n\\t\\t}\\n\\t\\tFeature dummy = hw1.new Feature();\\n\\t\\tdummy.name = \\\"first\\\";\\n\\t\\troot.attribute = dummy;\\n\\t\\t//add each root to the set of roots\\n\\t\\troots.add(root);\\n\\t\\troot = tree.buildTree(trainingRecords.get(trainingSet), roots.get(trainingSet), attributes.get(trainingSet), usedAttributes, trainingSet);\\n\\t\\troots.set(trainingSet, root);\\n\\t\\t//System.out.println();\\n\\t\\t//Iterate next traiingSet\\n\\t\\ttrainingSet++;\\n\\n\\t\\t}\\n\\t\\t\\n\\t\\t//Test the file for each training Model\\n\\t\\t\\treadFlag = hw1.ReadFile(testData, testRecords, isTestrecord, 0);\\n\\t\\t\\t//double accuracyTestData = trees.get(i).findAccuracy(roots.get(i), testRecords,i);\\n\\t\\tif (readFlag == false) {\\n\\t\\t\\tSystem.out.println(\\\"Error reading File for Test.\\\");\\n\\t\\t\\tSystem.exit(1);\\n\\t\\t\\n\\t\\t}\\n\\t\\tdouble accuracyTestData = trees.get(0).findAccuracy(roots, testRecords, trainingSet);\\n\\t\\t//System.out.println(\\\"\\\\nMaximum attributes for this training data is \\\"\\n\\t\\t//\\t\\t+ MAX_ATTRIBUTES)\\n\\t\\t//System.out.println(\\\"\\\\nAttributes and their MAX values are:\\\");\\n\\t\\tSystem.out.println(\\\"Number of training Sets in Bagging : \\\" + trainingSet);\\n\\t\\t//System.out.println(\\\"\\\\nAccuracy on trained Set is (\\\" + trainingRecords.size() + \\\")\\\" + accuracyTrainedData);\\n\\t\\tSystem.out.println(\\\"\\\\nAccuracy on test Set :\\\" + accuracyTestData);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6a18a27f44038f21a3f3c321b4fbd226\",\n \"score\": \"0.60798645\",\n \"text\": \"public static void main(String[] args) throws IOException {\\n\\t\\t\\n\\t\\tString datasetname = \\\"ml-1M\\\";\\n\\t\\tString filename = \\\"/Users/xahiru/.surprise_data/ml-1m/ml-1m/ratings.dat\\\";\\n\\t\\tString gereItem_filename = \\\"/Users/xahiru/.surprise_data/ml-1m/ml-1m/movies.dat\\\";\\n\\t\\tString separator = \\\"::\\\";\\n\\t\\tString genre_separator = \\\"\\\\\\\\|\\\";\\n\\t\\tString item_separator = separator;\\n\\t\\t\\n////\\t\\tml-100k\\n//\\t\\tString datasetname = \\\"ml-100k\\\";\\n//\\t\\tString filename = \\\"/Users/xahiru/.surprise_data/ml-100k/ml-100k/u.data\\\";\\n//\\t\\tString gereItem_filename = \\\"/Users/xahiru/.surprise_data/ml-100k/ml-100k/u.item\\\";\\n//\\t\\tString separator = \\\"\\\\t\\\";\\n//\\t\\tString genre_separator = \\\"|\\\";\\n//\\t\\tString item_separator = genre_separator;\\n\\n//\\t\\ttrain-test split ratio\\n\\t\\tlong seed = 101;\\n\\t\\tdouble testUsersPercent = 0.2;\\n\\t\\tdouble testItemsPercent = 0.2;\\n\\n\\t\\tRandomSplitDataSet dtmDataset = new RandomSplitDataSet(filename, testUsersPercent, testItemsPercent, separator,\\n\\t\\t\\t\\tseed);\\n\\t\\tDataModel datamodel = new DataModel(dtmDataset);\\n\\t\\tGenreReader gr = new GenreReader(gereItem_filename, item_separator, genre_separator);\\n\\n\\t\\t\\n\\t\\tRecommender knn = new UserKNN(datamodel, 50, new UW(gr, datamodel), UserKNN.AggregationApproach.DEVIATION_FROM_MEAN);\\n\\t\\t\\n\\t\\tknn.fit();\\n\\n\\t\\tScatterPlot plot = new ScatterPlot(\\\"Number of ratings\\\", \\\"Averaged user prediction error\\\");\\n\\n\\t\\tfor (TestUser testUser : datamodel.getTestUsers()) {\\n\\t\\t\\tdouble[] predictions = knn.predict(testUser);\\n\\n\\t\\t\\tdouble sum = 0;\\n\\n\\t\\t\\tfor (int pos = 0; pos < testUser.getNumberOfTestRatings(); pos++) {\\n\\t\\t\\t\\tdouble rating = testUser.getTestRatingAt(pos);\\n\\t\\t\\t\\tdouble prediction = predictions[pos];\\n\\t\\t\\t\\tsum += Math.pow(rating - prediction, 2);\\n\\t\\t\\t}\\n\\n\\t\\t\\tdouble userError = sum / testUser.getNumberOfTestRatings();\\n\\n\\t\\t\\tplot.addPoint(testUser.getNumberOfRatings(), userError);\\n\\t\\t}\\n\\n\\t\\tplot.draw();\\n\\t\\tplot.exportData(\\\"exports/\\\"+datasetname+\\\"knnuw-scatter-plot-data.csv\\\");\\n\\t\\tplot.printData(\\\"0\\\", \\\"0.00\\\");\\n\\t\\tplot.exportPlot(\\\"exports/\\\"+datasetname+\\\"knnuw-scatter-plot.png\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"658b711410207c8ffa2da1c64ad0f48a\",\n \"score\": \"0.6051788\",\n \"text\": \"public boolean[] classify(int datapoint) {\\n\\t\\tdouble hypothesis;\\n\\t\\tboolean[] class_list = new boolean[classes];\\n\\t\\tint c, f, i;\\n\\t\\t\\n\\t\\t//System.out.println(\\\"Classifying:\\\");\\n\\t\\tfor (c = 0; c < classes; c++) {\\n\\t\\t\\thypothesis = 0;\\n\\t\\t\\t//System.out.println(\\\" \\\"+data.classlist[c]+\\\":\\\");\\n\\t\\t\\tfor (f = 0; f < features; f++) {\\n\\t\\t\\t\\t//System.out.print(\\\" \\\"+data.storage[datapoint]+\\\": [\\\");\\n\\t\\t\\t\\tfor (i = 0; i < iterations; i++) {\\n\\t\\t\\t\\t\\tif (classifiers[c][i].classify(data.storage[datapoint])) {\\n\\t\\t\\t\\t//System.out.print(\\\"true, \\\");\\n\\t\\t\\t\\t\\t\\thypothesis += classifier_weights[c][i];\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t//System.out.print(\\\"false, \\\");\\n\\t\\t\\t\\t\\t\\thypothesis -= classifier_weights[c][i];\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t//System.out.println(\\\"]\\\");\\n\\t\\t\\t}\\n\\t\\t\\tclass_list[c] = hypothesis > 0;\\n\\t\\t}\\n\\t\\treturn class_list;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"872a48f279faa33432df09260f2ccf74\",\n \"score\": \"0.6049376\",\n \"text\": \"public static ClassificationResult constructClassificationResultForSinglePerson(\\n Evaluation evaluation, Classifier classifier, Instances instances,\\n String subject, SensorSubset sensorSubset, long timeTaken) {\\n\\n // retrieve basic information\\n String _classifier = classifier.getClass().getSimpleName();\\n if (classifier.getClass().equals(AdaBoostM1.class)) {\\n _classifier = _classifier + '_' +\\n ((AdaBoostM1) classifier).getClassifier().getClass().getSimpleName();\\n } else if (classifier.getClass().equals(Bagging.class)) {\\n _classifier = _classifier + '_' +\\n ((Bagging) classifier).getClassifier().getClass().getSimpleName();\\n } else if (classifier.getClass().equals(RandomCommittee.class)) {\\n _classifier = _classifier + '_' +\\n ((RandomCommittee) classifier).getClassifier().getClass().getSimpleName();\\n }\\n\\n String _testDataSubject = subject;\\n int _numberOfSensors = sensorSubset.getNumberOfSensors();\\n List<String> _sensorList = sensorSubset.getIncludedSensors();\\n String _sensorSummary = sensorSubset.getSensorListRepresentation();\\n\\n // calculate specialized F1 score variants\\n double _averageF1 = 0;\\n double _averagePrecision = 0;\\n double _averageRecall = 0;\\n double _averageTPRate = 0;\\n double _averageFPRate = 0;\\n double[] _averageF1perTask = new double[instances.numClasses()];\\n for (int i = 0; i < instances.numClasses(); i++) {\\n _averageF1 += replaceNaNByZero(evaluation.fMeasure(i));\\n _averagePrecision += replaceNaNByZero(evaluation.precision(i));\\n _averageRecall += replaceNaNByZero(evaluation.recall(i));\\n _averageTPRate += replaceNaNByZero(evaluation.truePositiveRate(i));\\n _averageFPRate += replaceNaNByZero(evaluation.falsePositiveRate(i));\\n _averageF1perTask[i] = replaceNaNByZero(evaluation.fMeasure(i));\\n }\\n _averageF1 /= instances.numClasses();\\n _averagePrecision /= instances.numClasses();\\n _averageRecall /= instances.numClasses();\\n _averageTPRate /= instances.numClasses();\\n _averageFPRate /= instances.numClasses();\\n\\n // calculate accuracy\\n double _accuracy = evaluation.correct() / (evaluation.correct() + evaluation.incorrect());\\n\\n // return a newly constructed classification result, using the calculated values\\n ClassificationResult classificationResult = new ClassificationResult\\n (_classifier, _testDataSubject, _numberOfSensors, _sensorList, _sensorSummary,\\n _averageF1,\\n _averagePrecision, _averageRecall,\\n _averageTPRate, _averageFPRate,\\n _averageF1perTask,\\n _accuracy, timeTaken);\\n return classificationResult;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8da4fbe7520303997ccfcd312299f7c3\",\n \"score\": \"0.59907806\",\n \"text\": \"@Override\\n\\tpublic ClassifyResult classify(List<String> words) {\\n\\t\\t// TODO : Implement\\n\\t\\t// Sum up the log probabilities for each word in the input data, and the\\n\\t\\t// probability of the label\\n\\t\\t// Set the label to the class with larger log probability\\n\\t\\tClassifyResult res = new ClassifyResult();\\n\\t\\tMap<Label, Double> logProbPerLabel = new HashMap<Label, Double>();\\n\\t\\tdouble posProb = 0.0;\\n\\t\\tfor(String word : words) {\\n\\t\\t\\tposProb +=Math.log(p_w_given_l(word, Label.POSITIVE));\\n\\t\\t}\\t\\t\\n\\t\\tposProb += Math.log(p_l(Label.POSITIVE));\\n\\t\\tlogProbPerLabel.put(Label.POSITIVE, posProb);\\n\\t\\tdouble negProb = 0.0;\\n\\t\\tfor(String word : words) {\\n\\t\\t\\tnegProb +=Math.log(p_w_given_l(word, Label.NEGATIVE));\\n\\t\\t}\\n\\t\\tnegProb += Math.log(p_l(Label.NEGATIVE));\\n\\t\\tlogProbPerLabel.put(Label.NEGATIVE, negProb);\\n\\t\\tres.logProbPerLabel = logProbPerLabel;\\n\\t\\tif(posProb >= negProb)\\n\\t\\t{\\n\\t\\t\\tres.label = Label.POSITIVE;\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tres.label = Label.NEGATIVE;\\n\\t\\t}\\n\\t\\treturn res;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"18d39c1fa3f6b56bef596cc4a26bc672\",\n \"score\": \"0.5989327\",\n \"text\": \"private ClassificationResult(String classifier, String testDataSubject,\\n int numberOfSensors, List<String> sensorList, String sensorSummary,\\n double averageF1Score,\\n double averagePrecision, double averageRecall,\\n double averageTPRate, double averageFPRate,\\n double[] averageF1PerTask,\\n double accuracy, long timeTaken) {\\n\\n // create header for CSV writing later on, MIND THE ORDER, has to stay the same as values below\\n if (headerForCSV == null) {\\n LinkedList<String> headerList = new LinkedList<>();\\n headerList = new LinkedList<>();\\n headerList.add(\\\"Classifier\\\");\\n headerList.add(\\\"F1\\\");\\n headerList.add(\\\"Precision\\\");\\n headerList.add(\\\"Recall\\\");\\n headerList.add(\\\"TP Rate\\\");\\n headerList.add(\\\"FP Rate\\\");\\n headerList.add(\\\"Number-of-sensors\\\");\\n for (String sensor : GlobalData.getAllAvailableSensors()) {\\n headerList.add(getSensorNameForTable(sensor));\\n }\\n headerList.add(\\\"Sensor-summary\\\");\\n headerList.add(\\\"Subject\\\");\\n headerList.add(\\\"Accuracy\\\");\\n headerList.add(\\\"Time-taken\\\");\\n\\n for (String activity : GlobalData.getAllActivities()) {\\n headerList.add(activity);\\n }\\n\\n headerForCSV = headerList.toArray(new String[headerList.size()]);\\n }\\n\\n\\n // collect data for CSV writing later on, MIND THE ORDER\\n LinkedList<String> dataForCSVList = new LinkedList<>();\\n dataForCSVList.add(classifier);\\n dataForCSVList.add(f1ResultForTable(averageF1Score));\\n dataForCSVList.add(f1ResultForTable(averagePrecision));\\n dataForCSVList.add(f1ResultForTable(averageRecall));\\n dataForCSVList.add(f1ResultForTable(averageTPRate));\\n dataForCSVList.add(f1ResultForTable(averageFPRate));\\n dataForCSVList.add(Integer.toString(numberOfSensors));\\n for (String sensor : GlobalData.getAllAvailableSensors()) {\\n if (sensorList.contains(sensor)) {\\n dataForCSVList.add(getSensorNameForTable(sensor));\\n } else {\\n dataForCSVList.add(\\\" \\\");\\n }\\n }\\n dataForCSVList.add(sensorSummary);\\n dataForCSVList.add(testDataSubject);\\n dataForCSVList.add(f1ResultForTable(accuracy));\\n dataForCSVList.add(Long.toString(timeTaken));\\n\\n for (int i = 0; i < averageF1PerTask.length; i++) {\\n dataForCSVList.add(Double.toString(averageF1PerTask[i]));\\n }\\n\\n dataForCSV = dataForCSVList.toArray(new String[dataForCSVList.size()]);\\n\\n // collect original data for comparisons\\n this.classifier = classifier;\\n this.testDataSubject = testDataSubject;\\n this.numberOfSensors = numberOfSensors;\\n this.sensorList = sensorList;\\n this.averageF1Score = averageF1Score;\\n this.averagePrecision = averagePrecision;\\n this.averageRecall = averageRecall;\\n this.averageTPRate = averageTPRate;\\n this.averageFPRate = averageFPRate;\\n this.sensorSummary = sensorSummary;\\n this.timeTaken = timeTaken;\\n this.accuracy = accuracy;\\n this.averageF1PerTask = averageF1PerTask;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"83108b67478f1d792edf48efbf6af9a2\",\n \"score\": \"0.59814316\",\n \"text\": \"public double classify(String instance)\\n {\\n\\treturn classify_instance(modelHandle, instance);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbe30509f783dbb14252af7450c8fe40\",\n \"score\": \"0.59675926\",\n \"text\": \"@Test\\n public void testTrain_C() {\\n System.out.println(\\\"train_C\\\");\\n ClassificationDataSet train = FixedProblems.get2ClassLinear(200, RandomUtil.getRandom());\\n\\n AROW arow0 = new AROW(1, true);\\n AROW arow1 = new AROW(1, false);\\n\\n arow0.train(train);\\n arow1.train(train);\\n\\n ClassificationDataSet test = FixedProblems.get2ClassLinear(200, RandomUtil.getRandom());\\n\\n for (DataPointPair<Integer> dpp : test.getAsDPPList())\\n assertEquals(dpp.getPair().longValue(), arow0.classify(dpp.getDataPoint()).mostLikely());\\n for (DataPointPair<Integer> dpp : test.getAsDPPList())\\n assertEquals(dpp.getPair().longValue(), arow1.classify(dpp.getDataPoint()).mostLikely());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73a1445215229e8bac55008394c80afe\",\n \"score\": \"0.59491324\",\n \"text\": \"public static void main(String[] args) {\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tSystem.out.println(\\\"Parsing Movie Data\\\");\\r\\n\\t\\t\\tMovieData md = new MovieData(DATA_PATH, REVENUE_CUTOFF);\\r\\n\\t\\t\\tSystem.out.println(\\\"Categorizing\\\");\\r\\n\\t\\t\\tmd.categorize(K_BUDGET, K_DURATION, K_VOTE_AVERAGE, K_VOTE_COUNT);\\r\\n\\r\\n//\\t\\t\\tmd.printFirstGenreCounts();\\r\\n\\r\\n\\t\\t\\t// Calculate information gain and counts for Decision Stumps\\r\\n\\r\\n\\t\\t\\tSystem.out.println(\\\"Calculating Entropy\\\");\\r\\n\\t\\t\\t// calculate entropy\\r\\n\\t\\t\\tDouble entropy = 0.0;\\r\\n\\t\\t\\tint numInstances = md.movies.size();\\r\\n\\t\\t\\tint numPositive = 0;\\r\\n\\t\\t\\tint numNegative = 0;\\r\\n\\t\\t\\tfor (int i = 0; i < numInstances; i++) {\\r\\n\\t\\t\\t\\tif (md.y.get(i) == 1.0)\\r\\n\\t\\t\\t\\t\\tnumPositive++;\\r\\n\\t\\t\\t\\telse\\r\\n\\t\\t\\t\\t\\tnumNegative++;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tentropy -= Double.valueOf(numNegative) / numInstances * Math.log(Double.valueOf(numNegative) / numInstances)\\r\\n\\t\\t\\t\\t\\t/ Math.log(2);\\r\\n\\t\\t\\tentropy -= (0.0 + numPositive) / numInstances * Math.log((0.0 + numPositive) / numInstances) / Math.log(2);\\r\\n\\r\\n//\\t\\t\\tSystem.out.println(\\\"entropy: \\\" + entropy + \\\" numNegative: \\\" + numNegative + \\\" numPositive: \\\" + numPositive\\r\\n//\\t\\t\\t\\t\\t+ \\\" numInstances: \\\" + numInstances);\\r\\n\\r\\n\\t\\t\\tSystem.out.println(\\\"Calculating Information Gains\\\");\\r\\n\\t\\t\\t// Start with budget\\r\\n\\t\\t\\tint[] numPositiveXjBudget = new int[K_BUDGET];\\r\\n\\t\\t\\tint[] numNegativeXjBudget = new int[K_BUDGET];\\r\\n\\t\\t\\tint[] numXjBudget = new int[K_BUDGET];\\r\\n\\t\\t\\tDouble informationGainBudget = calcInfGain(entropy, K_BUDGET, numInstances, md, numXjBudget,\\r\\n\\t\\t\\t\\t\\tnumPositiveXjBudget, numNegativeXjBudget, 0);\\r\\n\\r\\n\\t\\t\\t// Duration\\r\\n\\t\\t\\tint[] numPositiveXjDuration = new int[K_DURATION];\\r\\n\\t\\t\\tint[] numNegativeXjDuration = new int[K_DURATION];\\r\\n\\t\\t\\tint[] numXjDuration = new int[K_DURATION];\\r\\n\\t\\t\\tDouble informationGainDuration = calcInfGain(entropy, K_DURATION, numInstances, md, numXjDuration,\\r\\n\\t\\t\\t\\t\\tnumPositiveXjDuration, numNegativeXjDuration, 1);\\r\\n\\r\\n\\t\\t\\t// VoteAverage\\r\\n\\t\\t\\tint[] numPositiveXjVA = new int[K_VOTE_AVERAGE];\\r\\n\\t\\t\\tint[] numNegativeXjVA = new int[K_VOTE_AVERAGE];\\r\\n\\t\\t\\tint[] numXjVA = new int[K_VOTE_AVERAGE];\\r\\n\\t\\t\\tDouble informationGainVA = calcInfGain(entropy, K_VOTE_AVERAGE, numInstances, md, numXjVA, numPositiveXjVA,\\r\\n\\t\\t\\t\\t\\tnumNegativeXjVA, 2);\\r\\n\\r\\n\\t\\t\\t// VoteCount\\r\\n\\t\\t\\tint[] numPositiveXjVC = new int[K_VOTE_COUNT];\\r\\n\\t\\t\\tint[] numNegativeXjVC = new int[K_VOTE_COUNT];\\r\\n\\t\\t\\tint[] numXjVC = new int[K_VOTE_COUNT];\\r\\n\\t\\t\\tDouble informationGainVC = calcInfGain(entropy, K_VOTE_COUNT, numInstances, md, numXjVC, numPositiveXjVC,\\r\\n\\t\\t\\t\\t\\tnumNegativeXjVC, 3);\\r\\n\\r\\n\\t\\t\\t// Genres\\r\\n\\t\\t\\tint[] numPositiveXjGenre = new int[NUM_GENRES];\\r\\n\\t\\t\\tint[] numNegativeXjGenre = new int[NUM_GENRES];\\r\\n\\t\\t\\tint[] numXjGenre = new int[NUM_GENRES];\\r\\n\\t\\t\\tDouble informationGainGenre = calcInfGain(entropy, NUM_GENRES, numInstances, md, numXjGenre,\\r\\n\\t\\t\\t\\t\\tnumPositiveXjGenre, numNegativeXjGenre, 4);\\r\\n\\r\\n\\t\\t\\t// Time to generate output file\\r\\n\\t\\t\\tBufferedWriter bw = new BufferedWriter(new FileWriter(OUTPUT_PATH));\\r\\n\\t\\t\\t// Budget\\r\\n\\t\\t\\tbw.write(\\\"\\\" + K_BUDGET + \\\", \\\" + informationGainBudget + \\\", \\\" + numPositiveXjBudget[0] + \\\", \\\"\\r\\n\\t\\t\\t\\t\\t+ numNegativeXjBudget[0]);\\r\\n\\t\\t\\tfor (int i = 1; i < K_BUDGET; i++) {\\r\\n\\t\\t\\t\\tbw.write(\\\", \\\" + numPositiveXjBudget[i] + \\\", \\\" + numNegativeXjBudget[i]);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tbw.newLine();\\r\\n\\r\\n\\t\\t\\t// Genre\\r\\n\\t\\t\\tbw.write(\\\"\\\" + NUM_GENRES + \\\", \\\" + informationGainGenre + \\\", \\\" + numPositiveXjGenre[0] + \\\", \\\"\\r\\n\\t\\t\\t\\t\\t+ numNegativeXjGenre[0]);\\r\\n\\t\\t\\tfor (int i = 1; i < NUM_GENRES; i++) {\\r\\n\\t\\t\\t\\tbw.write(\\\", \\\" + numPositiveXjGenre[i] + \\\", \\\" + numNegativeXjGenre[i]);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tbw.newLine();\\r\\n\\r\\n\\t\\t\\t// Duration\\r\\n\\t\\t\\tbw.write(\\\"\\\" + K_DURATION + \\\", \\\" + informationGainDuration + \\\", \\\" + numPositiveXjDuration[0] + \\\", \\\"\\r\\n\\t\\t\\t\\t\\t+ numNegativeXjDuration[0]);\\r\\n\\t\\t\\tfor (int i = 1; i < K_DURATION; i++) {\\r\\n\\t\\t\\t\\tbw.write(\\\", \\\" + numPositiveXjDuration[i] + \\\", \\\" + numNegativeXjDuration[i]);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tbw.newLine();\\r\\n\\r\\n\\t\\t\\t// VoteAverage\\r\\n\\t\\t\\tbw.write(\\\"\\\" + K_VOTE_AVERAGE + \\\", \\\" + informationGainVA + \\\", \\\" + numPositiveXjVA[0] + \\\", \\\"\\r\\n\\t\\t\\t\\t\\t+ numNegativeXjVA[0]);\\r\\n\\t\\t\\tfor (int i = 1; i < K_VOTE_AVERAGE; i++) {\\r\\n\\t\\t\\t\\tbw.write(\\\", \\\" + numPositiveXjVA[i] + \\\", \\\" + numNegativeXjVA[i]);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tbw.newLine();\\r\\n\\r\\n\\t\\t\\t// VoteCount\\r\\n\\t\\t\\tbw.write(\\\"\\\" + K_VOTE_COUNT + \\\", \\\" + informationGainVC + \\\", \\\" + numPositiveXjVC[0] + \\\", \\\"\\r\\n\\t\\t\\t\\t\\t+ numNegativeXjVC[0]);\\r\\n\\t\\t\\tfor (int i = 1; i < K_VOTE_COUNT; i++) {\\r\\n\\t\\t\\t\\tbw.write(\\\", \\\" + numPositiveXjVC[i] + \\\", \\\" + numNegativeXjVC[i]);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tbw.close();\\r\\n\\r\\n\\t\\t\\tSystem.out.println(\\\"Done\\\");\\r\\n\\r\\n\\t\\t} catch (FileNotFoundException e) {\\r\\n\\t\\t\\te.printStackTrace();\\r\\n\\t\\t} catch (IOException e) {\\r\\n\\t\\t\\te.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a1945973af353ca0f20ec7fa828927e\",\n \"score\": \"0.594686\",\n \"text\": \"public static void main(String []args)\\n\\t{\\n\\t\\t\\tTweetFeatureExtractor.constructModel();\\n\\t\\t\\tNBayesCalculator.constructModel();\\n\\t\\t\\tSystem.out.println(\\\"\\\\n\\\\n\\\");\\n\\t\\t\\tSystem.out.println(NBayesCalculator.classifyNewTweet( \\\"ahh ive always wanted to see rent love the soundtrack!!\\\"));\\n\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44e8fab5dcda69faade55b2d9ccf1b6e\",\n \"score\": \"0.5939058\",\n \"text\": \"private static void applyCLA(Instances data) {\\r\\n // first determine medians\\r\\n double[] medians = new double[data.numAttributes()];\\r\\n // get medians\\r\\n for (int j = 0; j < data.numAttributes(); j++) {\\r\\n if (j != data.classIndex()) {\\r\\n medians[j] = data.kthSmallestValue(j, (data.numInstances() + 1) >> 1);\\r\\n }\\r\\n }\\r\\n // now determine cluster number for each instance\\r\\n double[] clusterNumber = new double[data.numInstances()];\\r\\n for (int i = 0; i < data.numInstances(); i++) {\\r\\n int countHighValues = 0;\\r\\n Instance currentInstance = data.get(i);\\r\\n for (int j = 0; j < data.numAttributes(); j++) {\\r\\n if (j != data.classIndex()) {\\r\\n if (currentInstance.value(j) > medians[j]) {\\r\\n countHighValues++;\\r\\n }\\r\\n }\\r\\n }\\r\\n clusterNumber[i] = countHighValues;\\r\\n }\\r\\n\\r\\n // determine median of cluster number\\r\\n Median m = new Median();\\r\\n double medianClusterNumber = m.evaluate(Arrays.stream(clusterNumber).distinct().toArray());\\r\\n\\r\\n // finally modify the instances\\r\\n // drop the unclean instances\\r\\n for (int i = data.numInstances() - 1; i >= 0; i--) {\\r\\n // set the classification\\r\\n if (clusterNumber[i] > medianClusterNumber) {\\r\\n data.get(i).setClassValue(1.0d);\\r\\n }\\r\\n else {\\r\\n data.get(i).setClassValue(0.0d);\\r\\n }\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"294a414e31b0bd233b5773414badeb60\",\n \"score\": \"0.5930231\",\n \"text\": \"protected Double classify(List<Feature> features) throws CleartkProcessingException {\\n return this.classifier.classify(features);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b326eeb609af38d730d982bea3ad8cde\",\n \"score\": \"0.5877698\",\n \"text\": \"public static List<ClassifierResult> createFusionTrainingDataset(IConfig config) throws IOException {\\n\\n\\n\\t\\t\\n\\t\\tPath devDatasetPath = null;\\n\\t\\tPath trainDatasetPath = null;\\n\\t\\t\\n\\t/*\\tboolean devDataSampling =config.getBooleanProperty(IConfig.PROPERTY_SAMPLING_DEV_DATA_FLAG); \\t\\n\\t\\t\\n\\t\\t//are we sampling from the training dataset to create the clean dev dataset?\\n\\t\\tif(devDataSampling){\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tFile sampledDevDataFile = File.createTempFile(\\\"sampledDevData\\\", null);\\n\\t\\t\\tFile newTrainignDataFile = File.createTempFile(\\\"newTrainingData\\\", null);\\n\\t\\t\\t\\n\\t\\t\\tdouble sampleProb = config.getDoubleProperty(IConfig.PROPERTY_DEV_DATA_PROPORTION);\\n\\t\\t\\t\\n\\t\\t\\tString src = config.getProperty(IConfig.PROPERTY_CLEANED_TRAINING_DATA_FILE);\\n\\t\\t\\t\\n\\t\\t\\t//create the dev data and remove samples from training data\\n\\t\\t\\tFileHandler.createSampleFile(src, newTrainignDataFile.getAbsolutePath(), sampledDevDataFile.getAbsolutePath(), sampleProb);\\n\\t\\t\\t\\n\\t\\t\\tdevDatasetPath=sampledDevDataFile.toPath();\\n\\t\\t\\ttrainDatasetPath=newTrainignDataFile.toPath();\\n\\t\\t\\t\\t\\n\\t\\t}else{//not sampling, just use the files as usual\\n\\t\\t*/\\t//devDatasetPath = Util.parseAndVerifyPath(config,IConfig.PROPERTY_CLEANED_DEV_DATA_FILE);\\n\\t\\t\\t\\n\\t\\t\\tdevDatasetPath =Util.tryParsePath(config,IConfig.PROPERTY_CLEANED_DEV_DATA_FILE);\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\n\\t\\t\\n\\t\\t\\t//trainDatasetPath = Util.parseAndVerifyPath(config,IConfig.PROPERTY_CLEANED_TRAINING_DATA_FILE);\\n\\t\\t\\ttrainDatasetPath = Util.tryParsePath(config,IConfig.PROPERTY_CLEANED_TRAINING_DATA_FILE);\\n\\t\\t\\t\\n\\t\\t//}\\n\\t\\t\\n\\t\\tLogger log = LoggerFactory.getInstance();\\n\\t\\tlog.log_info(\\\"creating fusion training data by running classifiers on development data...\\\");\\n\\t\\t/*\\n\\t\\t * train and then run the development data trhough the classifiers\\n\\t\\t */\\n\\t\\t\\n\\t\\tList<AbstractClassifier> classifiers = new ArrayList<AbstractClassifier>(4);\\n\\n\\t\\tfor(String classifierId : CLASSIFIERS_USED){\\n\\t\\t\\t//pass the development dataset to classifiers. It will act as the test dataset\\n\\t\\t\\t//the predictions of dev data will be ussed to create fusion training data set\\n\\t\\t\\tAbstractClassifier classifier = ClassifierBuilder.build(classifierId,devDatasetPath.toString(),trainDatasetPath.toString(),config);\\n\\n\\t\\t\\t//is it the nlp-based appraoch?\\n\\t\\t/*\\tif(classifier instanceof NLPBasedClassifier){\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t//set the predictions fiel (if it exists) to nlp classifier\\n\\t\\t\\t\\tString nlpPredictionsFile = config.getProperty(IConfig.PROPERTY_CLEANED_NLP_BASED_LABELED_DEV_DATA_FILE);\\n\\t\\t\\t\\tNLPBasedClassifier nlpClassifier = (NLPBasedClassifier) classifier;\\n\\t\\t\\t\\tnlpClassifier.setNLPBasedPredictionsFile(nlpPredictionsFile);\\n\\t\\t\\t}*/\\n\\t\\t\\t//i sholud do this in parralele\\n\\t\\t\\t//classifier.trainAndClassify();//trains (if applicable) the model off training data and tests on the development data\\n\\t\\t\\tclassifiers.add(classifier);\\n\\t\\t}\\n\\n\\t\\t//train in parrallel\\n\\t\\tClassifierRunner.runClassifiers(classifiers);\\n\\t\\tlog.log_info(\\\"finished running all in fusino training\\\");\\n\\t\\t\\n\\t\\t//String result = \\\"\\\";\\n\\t\\t\\n\\t\\t//List<Label> labelset = AbstractClassifier.getLabelSet(config);\\n\\t\\t\\n\\t\\t/*for(AbstractClassifier c : classifiers){\\n\\t\\t\\tresult += c.stringifyPerformance(labelset) +TweetParser.NEW_LINE;\\n\\t\\t}*/\\n\\t\\t//here should joint threadsa\\n\\t\\t//throw new IllegagelStaeExeption(\\\"need to parreleilize\\\");\\n\\t\\t//for completness, make sure classifiers exist\\n\\t\\tif(classifiers.isEmpty()){\\n\\t\\t\\tlog.log_error(\\\"failed to classify any classifier succesfully, exiting...\\\");\\n\\t\\t\\tSystem.exit(1);\\n\\t\\t}\\n\\t\\t//note that size of first classifier is equal to all others\\n\\t\\tint numberOfInstances = classifiers.get(0).size();\\n\\n\\t\\tdouble qThreshold= config.getDoubleProperty(IConfig.PROPERTY_Q_DIVERSITY_THRESHOLD);\\n\\t\\t//apply Q mesure to remove any classifier that don't have diverse results\\n\\t\\t//classifiers = diversifyClassifiers(classifiers,qThreshold);\\n\\n\\t\\tlog.log_debug(\\\"merging classifications into fusion tuples...\\\");\\n\\t\\t//throw new IllegalStateException(\\\"need to consider case that classifiers are not diverse enogh (empty list)\\\");\\n\\t\\tList<FusionInstance> fusionTrainingData = new ArrayList<FusionInstance>(numberOfInstances);\\n\\n\\t\\t//iterate all the dev data preditions for each classifier and create fusion sample/datum\\n\\t\\tfor(int i = 0; i < numberOfInstances;i++){\\n\\t\\t\\tLabel devSample = classifiers.get(0).getRealLabel(i);\\n\\n\\t\\t\\t//create the fusion training sample\\n\\t\\t\\tFusionInstance fusionInstance = new FusionInstance(devSample);\\n\\n\\t\\t\\t//iterate all the classifier's predictions for the ith dev sample and create a fusion sample\\n\\t\\t\\tfor(AbstractClassifier c : classifiers){\\n\\t\\t\\t\\tLabel prediction = c.getPredictedLabel(i);\\n\\t\\t\\t\\tfusionInstance.addPrediction(prediction);\\n\\t\\t\\t}\\n\\n\\n\\n\\t\\t\\t//add fusion sample to fusion training data\\n\\t\\t\\tfusionTrainingData.add(fusionInstance);\\n\\t\\t}\\n\\n\\t\\t\\n\\t\\t//Path fusionTrainOutputPath = Paths.get(config.getProperty(IConfig.PROPERTY_ROOT_PATH),config.getProperty(IConfig.PROPERTY_FUSION_TRAINING_DATA_FILE));\\n\\t\\tPath fusionTrainOutputPath=Util.tryParsePath(config,IConfig.PROPERTY_FUSION_TRAINING_DATA_FILE);\\n\\n\\t\\tif(!fusionTrainOutputPath.toFile().exists()){\\n\\t\\t\\tFileHandler.createFile(fusionTrainOutputPath);\\n\\t\\t}\\n\\t\\tFileAppender fileIO = new FileAppender(fusionTrainOutputPath,Main.FILE_BUFFER_SIZE);\\n\\t\\t\\n\\t\\tfileIO.open();\\n\\n\\t\\t//now create the fusion training dataset file to allow new phase to train fusion model\\n\\t\\tfor(FusionInstance fd: fusionTrainingData){\\n\\n\\t\\t\\tString outputLine = fd.toString() + TweetParser.NEW_LINE;\\n\\t\\t\\t//FileHandler.append(fusionTrainOutputPath, outputLine.getBytes());\\n\\t\\t\\tfileIO.append(outputLine);\\n\\t\\t}\\n\\t\\tfileIO.flush();\\n\\t\\tfileIO.close();\\n\\t\\t\\n\\t\\t\\n\\t\\tlog.log_debug(\\\"finished appending training fusion instances...\\\");\\n\\t\\t\\n\\t\\tList<Label> labelset = AbstractClassifier.getLabelSet(config);\\n\\t\\tList<ClassifierResult> results = new ArrayList<ClassifierResult>(classifiers.size());\\n\\t\\t\\n\\t\\tfor(AbstractClassifier c : classifiers){\\n\\t\\t\\tClassifierResult res = c.computeClassifierResult(labelset);\\n\\t\\t\\tString name = res.getClassifierName();\\n\\t\\t\\t\\n\\t\\t\\tname= \\\"Fusion Training result: \\\"+name;\\n\\t\\t\\tres.setClassifierName(name);\\n\\t\\t\\t\\n\\t\\t\\tresults.add(res);\\n\\t\\t}\\n\\t\\treturn results;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cc7c24d0de57b02b293c71da153718ea\",\n \"score\": \"0.5873642\",\n \"text\": \"int classify(Tuple tuple){\\n\\t\\tdouble pro0=this.Pros[0];\\n\\t\\tdouble pro1=this.Pros[1];\\n\\t\\tHashMap<Integer,HashMap<Integer,Integer>> attriCount;\\n\\t\\t\\n\\t\\tfor(Integer index:tuple.indexvaluemap.keySet()){\\n\\t\\t\\tint value=tuple.indexvaluemap.get(index);\\n\\t\\t\\t\\n\\t\\t\\t//calculate P(x|-1)\\n\\t\\t\\tattriCount=this.nAttributeCount;\\n\\t\\t\\tif(attriCount.containsKey(index)){\\n\\t\\t\\t\\tif(attriCount.get(index).containsKey(value)){\\n\\t\\t\\t\\t\\tpro0*=(double)attriCount.get(index).get(value)/this.classsupport[0];\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse{\\n\\t\\t\\t\\t\\tpro0*=(double)1.0/(this.classsupport[0]+attriCount.get(index).keySet().size());\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t//calculate P(x|+1)\\n\\t\\t\\tattriCount=this.pAttributeCount;\\n\\t\\t\\tif(attriCount.containsKey(index)){\\n\\t\\t\\t\\tif(attriCount.get(index).containsKey(value)){\\n\\t\\t\\t\\t\\tpro1*=(double)attriCount.get(index).get(value)/this.classsupport[1];\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse{\\n\\t\\t\\t\\t\\tpro1*=(double)1.0/(this.classsupport[1]+attriCount.get(index).keySet().size());\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t//*************************************************\\n\\t\\tif(pro0-pro1>0){\\n\\t\\t\\ttuple.classresult=-1;\\n\\t\\t\\treturn -1;\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\ttuple.classresult=+1;\\n\\t\\t\\t//System.out.println(\\\"positive\\\");\\n\\t\\t\\treturn 1;\\n\\t\\t}\\n\\t\\t/*\\n\\t\\telse{\\n\\t\\t\\ttuple.classresult=0;\\n\\t\\t\\treturn 0;\\n\\t\\t}*/\\n\\t\\t//*************************************************\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73cbe65ab1b9cfd3fa0249a17582ad21\",\n \"score\": \"0.5866608\",\n \"text\": \"public static void main(String[] args) throws Exception {\\n\\t\\n\\tWeka_IRIS_NB_NoCV wekaNoCV = new Weka_IRIS_NB_NoCV();\\n\\t\\n//\\twekaNoCV.runClassifier(\\\"weka.classifiers.bayes.NaiveBayes\\\");\\n//\\twekaNoCV.runClassifier(\\\"weka.classifiers.bayes.NaiveBayesMultinomial\\\");\\n//\\twekaNoCV.runClassifier(\\\"weka.classifiers.bayes.NaiveBayesMultinomialText\\\");\\n//\\twekaNoCV.runClassifier(\\\"weka.classifiers.bayes.NaiveBayesMultinomialUpdateable\\\");\\n//\\twekaNoCV.runClassifier(\\\"weka.classifiers.bayes.NaiveBayesUpdateable\\\");\\n\\n\\tWeka_IRIS_NB_CV wekaCV = new Weka_IRIS_NB_CV();\\n//\\twekaCV.runClassifier(\\\"weka.classifiers.bayes.NaiveBayes\\\");\\n//\\twekaCV.runClassifier(\\\"weka.classifiers.bayes.NaiveBayesMultinomial\\\");\\n//\\twekaCV.runClassifier(\\\"weka.classifiers.bayes.NaiveBayesMultinomialText\\\");\\n//\\twekaCV.runClassifier(\\\"weka.classifiers.bayes.NaiveBayesMultinomialUpdateable\\\");\\n\\twekaCV.runClassifier(\\\"weka.classifiers.bayes.NaiveBayesUpdateable\\\");\\n\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14b69faeaa205357c0bd998187c1e202\",\n \"score\": \"0.58608884\",\n \"text\": \"public double[] knnClassifyData(ArrayList<double[]> data, int k, String distanceMethod, int[] categoricalFeatures, BufferedWriter buffWriter) throws IOException {\\r\\n\\t\\tint errors=0;\\r\\n\\t\\tfor (double[] toClassify:data){\\r\\n\\t\\t\\tSystem.out.println(\\\"Prediction for: \\\" + toClassify[0]);\\r\\n\\t\\t\\tint prediction = knnClassifyPoint(trainedModel,toClassify,k,distanceMethod,categoricalFeatures);\\r\\n\\t\\t\\tif(prediction != (int) toClassify[0]) {\\r\\n\\t\\t\\t\\terrors++;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tSystem.out.println(\\\"PREDICTED: \\\" + (prediction) + \\\", ACTUAL: \\\" + ((int) toClassify[0]) + \\\"\\\\n\\\");\\r\\n\\t\\t\\t//buffWriter.write(\\\"PREDICTED: class \\\" + (prediction+1) + \\\", ACTUAL: \\\" + ((int) toClassify[0]) + \\\"\\\\n\\\");\\r\\n\\t\\t}\\r\\n\\t\\tdouble errorRate = (double)errors/(double)data.size();\\r\\n\\t\\tbuffWriter.write(\\\"TOTAL MISCLASSIFICATIONS: \\\" + errors + \\\"\\\\n\\\");\\r\\n\\t\\tbuffWriter.write(\\\"ERROR %: \\\" + (errorRate*100) + \\\"\\\\n\\\\n\\\");\\r\\n\\t\\treturn new double[]{errors,errorRate};\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71f34ead6d7ad3fb91cb807b5f83bfa7\",\n \"score\": \"0.5835139\",\n \"text\": \"public static void main(String[] args) {\\n int a, b, c;\\n System.out.println(\\\"The triangle dimensions are 3, 4, and 5 for the first test.\\\");\\n Triangle tri = new Triangle(3,4,5);\\n System.out.println(\\\"The triangle is classified as a: \\\" + tri.classify()+\\\"\\\\n\\\");\\n \\n System.out.println(\\\"The triangle dimensions are 10, 14, and 10 for the second test.\\\");\\n Triangle tri2 = new Triangle(10,14,10);\\n System.out.println(\\\"The triangle is classified as a: \\\" + tri2.classify()+\\\"\\\\n\\\");\\n \\n System.out.println(\\\"The triangle dimensions are 55, 55, and 55 for the third test.\\\");\\n Triangle tri3 = new Triangle(55,55,55);\\n System.out.println(\\\"The triangle is classified as a: \\\" + tri3.classify()+\\\"\\\\n\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"482bbab511e480582ad2f4732b87f0e2\",\n \"score\": \"0.5821028\",\n \"text\": \"public static void main(String[] args) throws Exception\\r\\n {\\n removeNoise.run();\\r\\n \\r\\n //get key product id's\\r\\n getKeyProductIDs();\\r\\n \\r\\n //generate weka files for all key products \\r\\n for(int x: keyProducts)\\r\\n {\\r\\n buildWekaFileForProduct wekaFile = new buildWekaFileForProduct();\\r\\n wekaFile.run(x);\\r\\n }\\r\\n \\r\\n //*** BUILD THE FINAL OUTPUT TABLE ****\\r\\n int c = 0;\\r\\n int o = 0;\\r\\n for(int t: keyProducts)\\r\\n {\\r\\n predictor p = new predictor();\\r\\n p.run(t);\\r\\n int[] res = p.getOuput();\\r\\n \\r\\n //insert the id of the current product\\r\\n ids[c] = t;\\r\\n \\r\\n \\r\\n for(int j: res)\\r\\n {\\r\\n finalRes[c][o] = j;\\r\\n o++;\\r\\n }\\r\\n c++;\\r\\n o = 0;\\r\\n }\\r\\n \\r\\n //**** END OF FINAL OUTPUT TABLE BUILD ****//\\r\\n \\r\\n //**** CALCULATE THE OVERALL SUM **** //\\r\\n int counter = 0;\\r\\n \\r\\n //iterate over the columns (0 - 28)\\r\\n for(int i = 0; i < 29; i++)\\r\\n {\\r\\n int sum = 0;\\r\\n //iterate over the product ids (0 - 100)\\r\\n for(int j = 0; j < finalRes.length; j++)\\r\\n {\\r\\n sum = sum +finalRes[j][i];\\r\\n }\\r\\n overall[i] = sum;\\r\\n }\\r\\n //**** END OF OVERALL QUANTITY CALCULATION ***\\r\\n \\r\\n //*** START OF FINAL OUTPUT FILE CREATION ****//\\r\\n PrintWriter writer = null;\\r\\n writer = writer = new PrintWriter(\\\"output.txt\\\", \\\"UTF-8\\\");\\r\\n //output the overall quantity prediction\\r\\n writer.print(\\\"0 \\\");\\r\\n for(int i = 0; i < overall.length; i++)\\r\\n {\\r\\n writer.print(overall[i]+\\\" \\\");\\r\\n }\\r\\n writer.println();\\r\\n \\r\\n //ouput the prediction for each individual product\\r\\n for(int i = 0; i < finalRes.length; i++)\\r\\n {\\r\\n writer.print(ids[i]+\\\" \\\");\\r\\n for(int j = 0; j < finalRes[i].length; j++)\\r\\n {\\r\\n writer.print(finalRes[i][j]+\\\" \\\");\\r\\n }\\r\\n writer.println();\\r\\n }\\r\\n writer.close();\\r\\n System.out.println(\\\"Output file created -----> output.txt\\\");\\r\\n //**** END OF OUTPUT FILE CREATION****//\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"741762cf48156163c447a26de89cf260\",\n \"score\": \"0.5814899\",\n \"text\": \"public static double[] runClassifier(Instances data, Classifier classifier,\\r\\n int numFolds, Logger log) throws Exception {\\r\\n double[] testResults = new double[data.numInstances()];\\r\\n int offset = 0;\\r\\n for(int fold = 0; fold < numFolds; fold++) {\\r\\n Instances train = data.trainCV(numFolds, fold);\\r\\n Instances test = data.testCV(numFolds, fold);\\r\\n if(log != null) {\\r\\n log.statusMessage(String.format(\\\"Building and Testing classifier for \\\" +\\r\\n \\\"fold %d out of %d\\\", fold + 1, numFolds));\\r\\n }\\r\\n classifier.buildClassifier(train);\\r\\n for(int j = 0; j < test.numInstances(); j++) {\\r\\n testResults[offset + j] = classifier.classifyInstance(test.instance(j));\\r\\n }\\r\\n offset += test.numInstances();\\r\\n }\\r\\n return testResults;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cb90d75e78dc20ffaebf8e483e03df69\",\n \"score\": \"0.57943726\",\n \"text\": \"public static double[] runClassifier(Instances data, Classifier classifier,\\r\\n int numFolds) throws Exception {\\r\\n return runClassifier(data, classifier, numFolds, null);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f6d6e97995718d4724cb2b14b4121465\",\n \"score\": \"0.5792395\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\ttry {\\n\\t\\t\\tSystem.out.println(\\\"Starting read-in\\\");\\n\\t\\t\\tList<Tide> data1999 = AnalysisMethods.readInData(dataURL1999, siteURL);\\n\\t\\t\\tSystem.out.println(\\\"Read in 1999\\\");\\n\\t\\t\\tList<Tide> data2000 = AnalysisMethods.readInData(dataURL2000, siteURL);\\n\\t\\t\\tSystem.out.println(\\\"Read in 2000\\\");\\n\\t\\t\\tList<Tide> data2001 = AnalysisMethods.readInData(dataURL2001, siteURL);\\n\\t\\t\\tSystem.out.println(\\\"Read in 2001\\\");\\n\\t\\t\\tallData.addAll(data1999);\\n\\t\\t\\tSystem.out.println(\\\"Added 1999 to master list\\\");\\n\\t\\t\\tallData.addAll(data2000);\\n\\t\\t\\tSystem.out.println(\\\"Added 2000 to master list\\\");\\n\\t\\t\\tallData.addAll(data2001);\\n\\t\\t\\tSystem.out.println(\\\"Added 2001 to master list\\\");\\n\\t\\t\\tSystem.out.println(\\\"All data was correctly read in and combined\\\");\\n\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\tSystem.out.println(\\\"There was an error reading in data\\\");\\n\\t\\t\\tSystem.out.println(e.getMessage());\\n\\t\\t}\\n\\n\\t\\t//find the highest tide on record\\n\\t\\ttry {\\n\\t\\t\\tSystem.out.println(\\\"\\\\nThe highest tide recorded was:\\\");\\n\\t\\t\\tSystem.out.println(AnalysisMethods.getHighestTide(allData).toString());\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tSystem.out.println(\\\"There was an error getting the highest tide\\\");\\n\\t\\t\\tSystem.out.println(e.getMessage());\\n\\t\\t}\\n\\n\\t\\t//do some summary stats on each location:\\n\\t\\ttry {\\n\\t\\t\\t//generate map of locations\\n\\t\\t\\tMap<String, String> locations = AnalysisMethods.getSitesMap(siteURL);\\n\\t\\t\\t//for each location,\\n\\t\\t\\tfor (Map.Entry<String, String> entry : locations.entrySet())\\n\\t\\t\\t{ \\n\\t\\t\\t\\t//create instances of the implementations (Java does not support static methods in interfaces yet)\\n\\t\\t\\t\\tMeanStat mean = new MeanStat();\\n\\t\\t\\t\\tTidalRangeStat range = new TidalRangeStat();\\n\\t\\t\\t\\t//intro line\\n\\t\\t\\t\\tSystem.out.println(\\\"\\\\nFor: \\\"+entry.getValue());\\n\\t\\t\\t\\t//methods subset the data and then perform their calculations.\\n\\t\\t\\t\\tSystem.out.println(\\\"The mean sea level is: \\\"+ mean.statistic(allData, entry.getKey()));\\n\\t\\t\\t\\tSystem.out.println(\\\"The tidal range is: \\\"+range.statistic(allData, entry.getKey()));\\n\\t\\t\\t}\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\tSystem.out.println(\\\"There was an error getting the site map\\\");\\n\\t\\t\\tSystem.out.println(e.getMessage());\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tSystem.out.println(\\\"There was doing the stat analysis\\\");\\n\\t\\t\\tSystem.out.println(e.getMessage());\\n\\t\\t}\\n\\t\\t//Find highest surge\\n\\t\\ttry {\\n\\t\\t\\tSystem.out.println(\\\"\\\\nThe highest surge was:\\\");\\n\\t\\t\\tSystem.out.println(AnalysisMethods.getHighestSurge(allData).toString());\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tSystem.out.println(\\\"There was an error getting the surge\\\");\\n\\t\\t\\tSystem.out.println(e.getMessage());\\n\\t\\t}\\n\\n\\t\\t//Part 3 data readin\\n\\t\\ttry {\\n\\t\\t\\tSystem.out.println(\\\"Starting extra data read-in\\\");\\n\\t\\t\\tList<Tide> data2004 = AnalysisMethods.readInDataPart3(dataURLpart32004, siteURLpart3);\\n\\t\\t\\tSystem.out.println(\\\"Read in 2004\\\");\\n\\t\\t\\tList<Tide> data2005 = AnalysisMethods.readInDataPart3(dataURLpart32005, siteURLpart3);\\n\\t\\t\\tSystem.out.println(\\\"Read in 2005\\\");\\n\\t\\t\\tList<Tide> data2006 = AnalysisMethods.readInDataPart3(dataURLpart32006, siteURLpart3);\\n\\t\\t\\tSystem.out.println(\\\"Read in 2006\\\");\\n\\t\\t\\tallDataPart3.addAll(data2004);\\n\\t\\t\\tSystem.out.println(\\\"Added 2004 to extra data master list\\\");\\n\\t\\t\\tallDataPart3.addAll(data2005);\\n\\t\\t\\tSystem.out.println(\\\"Added 2005 to extra data master list\\\");\\n\\t\\t\\tallDataPart3.addAll(data2006);\\n\\t\\t\\tSystem.out.println(\\\"Added 2006 to extra data master list\\\");\\n\\t\\t\\tSystem.out.println(\\\"All extra data read in and combined.\\\");\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\tSystem.out.println(\\\"There was an error reading in the extra data\\\");\\n\\t\\t\\tSystem.out.println(e.getMessage());\\n\\t\\t}\\n\\t\\t//Part 3 data analysis\\n\\t\\ttry {\\n\\t\\t\\tSystem.out.println(\\\"\\\\nThe largest surge in the extra data was:\\\");\\n\\t\\t\\tSystem.out.println(AnalysisMethods.getHighestSurge(allDataPart3).toString());\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tSystem.out.println(\\\"There was an error getting the surge in the extra data\\\");\\n\\t\\t\\tSystem.out.println(e.getMessage());\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"232565543c7eccaa54e61223dbc9f175\",\n \"score\": \"0.5777834\",\n \"text\": \"public static void knn_classifier() {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tDataset training_dataset = new Dataset(\\\"project_files/GFD/train\\\");\\n\\t\\t\\t\\tDataset test_dataset = new Dataset(\\\"project_files/GFD/test/\\\");\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// Create the KNN\\n\\t\\t\\t\\tint k = 3, p = 2; // for example\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tKnnClassifier knn = new KnnClassifier(k, p);\\n\\t\\t\\t\\tSystem.out.println(knn);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// train it on train_set\\n\\t\\t\\t\\tknn.train(training_dataset);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// print the accuracies\\n\\t\\t\\t\\tSystem.out.println(\\\"train acc = \\\" + knn.accuracy(training_dataset));\\n\\t\\t\\t\\tSystem.out.println(\\\"test acc = \\\" + knn.accuracy(test_dataset));\\n\\t\\t\\t} catch (IOException e) {\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t}\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"658fa277ebfa901b808c4f1029db2591\",\n \"score\": \"0.577747\",\n \"text\": \"public void Run() {\\n // Building training set\\n JavaRDD<LabeledPoint> negativePoints = negativeLines.map(new LabeledPointCreater(0.0));\\n JavaRDD<LabeledPoint> positivePoints = positiveLines.map(new LabeledPointCreater(1.0));\\n JavaRDD<LabeledPoint> training = negativePoints.union(positivePoints);\\n\\n // Building test set\\n JavaRDD<LabeledPoint> testnegativePoints = testnegativeLines.map(new LabeledPointCreater(0.0));\\n JavaRDD<LabeledPoint> testpositivePoints = testpositiveLines.map(new LabeledPointCreater(1.0));\\n JavaRDD<LabeledPoint> testing = testnegativePoints.union(testpositivePoints);\\n\\n NiaveBayesRun(training, testing);\\n SVMRun(training, testing);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e743c50592b071408f74111e683fef2\",\n \"score\": \"0.5771955\",\n \"text\": \"public static void testHypothesesUsingTheTunedClassifier() {\\r\\n\\r\\n\\t\\tfor (String attrChoice : attributes) {\\r\\n//\\t\\t\\tSystem.out.println(\\\"Attributes: \\\");\\r\\n\\t\\t\\tSystem.out.println(attrChoice);\\r\\n\\t\\t\\tSystem.out.println(\\\"======================================\\\");\\r\\n\\r\\n\\t\\t\\tfor (String s : evaluations) {\\r\\n\\r\\n\\t\\t\\t\\tSystem.out.println(\\\"Evaluation: \\\" + s);\\r\\n\\r\\n\\t\\t\\t\\tdouble[] localPrecisionsArray = new double[guidelines.length];\\r\\n\\r\\n\\t\\t\\t\\tfor (int i = 0; i < guidelines.length; i++) {\\r\\n\\r\\n\\t\\t\\t\\t\\tSystem.out.print(guidelines[i] +\\\": \\\");\\r\\n\\r\\n\\t\\t\\t\\t\\ttry {\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tRandomForest rf = new RandomForest();\\r\\n\\t\\t\\t\\t\\t\\trf.setMaxDepth(3);\\r\\n\\t\\t\\t\\t\\t\\trf.setNumTrees(26);\\r\\n\\t\\t\\t\\t\\t\\trf.setNumFeatures(9);\\r\\n\\t\\t\\t\\t\\t\\tlocalPrecisionsArray[i] = trainAClassifierOnADatasetThenTestOnAnotherDataset(\\r\\n\\t\\t\\t\\t\\t\\t\\t\\trf, \\\"hf2014\\\", guidelines[i], s, attrChoice);\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\t\\t\\t// Without over-sampling approaches, the final classifier we identified is:\\r\\n//\\t\\t\\t\\t\\t\\t// NaiveBayes() without hyper parameter or cost matrix\\r\\n//\\t\\t\\t\\t\\t\\tlocalPrecisionsArray[i] = trainAClassifierOnADatasetThenTestOnAnotherDataset(\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\tnew NaiveBayes(), \\\"hf2014\\\", guidelines[i], s, attrChoice);\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\t\\t\\t// Without over-sampling approaches using the data set\\r\\n//\\t\\t\\t\\t\\t\\t// 15845 data points (no high impact journal feature), \\r\\n//\\t\\t\\t\\t\\t\\t// we found that the final classifier we identified is :\\r\\n//\\t\\t\\t\\t\\t\\t// logistic (default hyper parameters) + cost Matrix (20 to 2)\\r\\n//\\t\\t\\t\\t\\t\\tCostSensitiveClassifier costSensitiveClassifier = new CostSensitiveClassifier();\\r\\n//\\t\\t\\t\\t\\t\\tCostMatrix costMatrix = new CostMatrix(2);\\r\\n//\\t\\t\\t\\t\\t\\tcostMatrix.setCell(0, 1, 20.0d);\\r\\n//\\t\\t\\t\\t\\t\\tcostMatrix.setCell(1, 0, 2d);\\t\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\t\\t\\tcostSensitiveClassifier.setClassifier(new Logistic());\\r\\n//\\t\\t\\t\\t\\t\\tcostSensitiveClassifier.setCostMatrix(costMatrix);\\t\\t\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\t\\t\\tlocalPrecisionsArray[i] = trainAClassifierOnADatasetThenTestOnAnotherDataset(\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\tcostSensitiveClassifier, \\\"hf2014\\\", guidelines[i], s, attrChoice);\\r\\n\\r\\n\\t\\t\\t\\t\\t\\t////as a negative control to test whether cost matrix related codes work \\r\\n\\t\\t\\t\\t\\t\\t//trainAClassifierOnADatasetThenTestOnAnotherDataset(new Logistic(), \\\"hf2014\\\", \\\"MDD\\\", s, \\\"All_Attributes\\\");\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n//\\t\\t\\t\\t\\t\\t// With oversampling approaches, the final classifier we identified is:\\r\\n//\\t\\t\\t\\t\\t\\t// BayesNet without hyper parameter or cost matrix\\r\\n//\\t\\t\\t\\t\\t\\tlocalPrecisionsArray[i] = trainAClassifierOnADatasetThenTestOnAnotherDataset(\\r\\n//\\t\\t\\t\\t\\t\\t\\t\\tnew BayesNet(), \\\"hf2014\\\", guidelines[i], s, attrChoice);\\r\\n\\t\\t\\t\\t\\t\\t//// localPrecisionsArray[i] =\\r\\n\\t\\t\\t\\t\\t\\t//// trainAClassifierOnADatasetThenTestOnAnotherDataset(new\\r\\n\\t\\t\\t\\t\\t\\t//// NaiveBayes(), \\\"hf2014\\\", guidelines[i], s,\\r\\n\\t\\t\\t\\t\\t\\t//// attrChoice);\\r\\n\\t\\t\\t\\t\\t\\t//// localPrecisionsArray[i] =\\r\\n\\t\\t\\t\\t\\t\\t//// trainAClassifierOnADatasetThenTestOnAnotherDataset(new\\r\\n\\t\\t\\t\\t\\t\\t//// NaiveBayesMultinomial(), \\\"hf2014\\\", guidelines[i], s,\\r\\n\\t\\t\\t\\t\\t\\t//// attrChoice);\\r\\n\\r\\n//\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"From Array: \\\" + localPrecisionsArray[i]);\\r\\n//\\t\\t\\t\\t\\t\\tSystem.out.println();\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t} catch (Exception e) {\\r\\n\\t\\t\\t\\t\\t\\te.printStackTrace();\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\tStatistics sta = new Statistics(localPrecisionsArray);\\r\\n\\t\\t\\t\\t// // System.out.println(\\\"Mean: \\\" + sta.getMean());\\r\\n\\t\\t\\t\\t//// System.out.println(\\\"Top 10 precision statistics: \\\");\\r\\n\\t\\t\\t\\t//// System.out.print(\\\"Mean: \\\");\\r\\n\\t\\t\\t\\tSystem.out.printf(\\\"%3.2f\\\", sta.getMean());\\r\\n\\t\\t\\t\\tSystem.out.print(\\\"±\\\");\\r\\n\\t\\t\\t\\t// System.out.println(\\\" \\\");\\r\\n\\r\\n\\t\\t\\t\\t//\\r\\n\\t\\t\\t\\t// System.out.print(\\\"SD: \\\");\\r\\n\\t\\t\\t\\tSystem.out.printf(\\\"%3.2f\\\", sta.getStdDev());\\r\\n\\t\\t\\t\\t// System.out.print(\\\" \\\");\\r\\n\\t\\t\\t\\tSystem.out.println(\\\"\\\\n\\\");\\r\\n\\t\\t\\t\\t//\\r\\n\\t\\t\\t\\t//// System.out.println(\\\"Median: \\\" + sta.median() + \\\"\\\\n\\\\n\\\");\\r\\n\\t\\t\\t\\t// System.out.println(sta.median());\\r\\n\\r\\n\\t\\t\\t\\t// resetWeightedGuidelineArray(specificArray);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tSystem.out.println();\\r\\n//\\t\\t\\tSystem.out.println();\\r\\n\\t\\t\\t// System.out.println(\\\"======================================\\\");\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f4da63bcdc893079022064723d766a0d\",\n \"score\": \"0.57711744\",\n \"text\": \"public static void main(String[] args) throws IOException {\\n \\tfor(Integer id=1; id<=30; ++id)\\n \\t{\\n\\t \\tString tt = id.toString() + \\\".txt\\\";\\n\\t \\t\\n\\t \\tsvm_scale s1= new svm_scale();\\n\\t \\tString[] s1arg = {\\\"./datas/SVM/Train/TrainScale_\\\" + tt, \\\"./datas/SVM/Train/Train_\\\" + tt};\\n\\t \\ts1.main(s1arg);\\n\\t \\n\\t svm_train t = new svm_train();\\n\\t String[] targ = { //\\\"-s\\\",\\\"0\\\",\\\"-t\\\",\\\"2\\\",\\n\\t \\t\\t\\\"-q\\\",\\n\\t \\t\\t\\\"./datas/SVM/Train/TrainScale_\\\" + tt, \\n\\t \\\"./datas/SVM/Model/Model_\\\" + tt };\\n\\t t.main(targ);\\n\\t \\n\\t svm_scale s2= new svm_scale();\\n\\t \\tString[] s2arg = {\\\"./datas/SVM/Test/TestDataScale_\\\" + tt, \\\"./datas/SVM/Test/TestData_\\\" + tt};\\n\\t \\ts2.main(s2arg);\\n\\t \\n\\t svm_predict p = new svm_predict();\\n\\t String[] parg = { \\\"./datas/SVM/Test/TestDataScale_\\\" + tt, \\n\\t \\\"./datas/SVM/Model/Model_\\\" + tt, \\n\\t \\\"./datas/SVM/Test/TestAnsw_\\\" + tt };\\n\\t p.main(parg); \\n\\t \\n\\t ret[id] = p.ret;\\n \\t}\\n \\tSystem.out.println();\\n \\tSystem.out.println();\\n \\tSystem.out.println();\\n \\tSystem.out.println();\\n \\tSystem.out.println();\\n \\tInteger[] tj = new Integer[11];\\n \\tfor(Integer i=0; i<=10; ++i)tj[i] = 0;\\n \\tInteger cnt = 0;\\n \\tfor(Integer id=1; id<=30; ++id)\\n \\t{\\n \\t\\tSystem.out.println(\\\"ID : \\\" + id + \\\" RESULT : \\\" + ret[id]);\\n \\t\\tfor(Integer i=1; i<=10; ++i)\\n \\t\\t\\tif(ret[id].contains(i.toString() + \\\"0.0%\\\"))\\n \\t\\t\\t{\\n \\t\\t\\t\\tcnt ++;\\n \\t\\t\\t\\ttj[i] ++;\\n \\t\\t\\t}\\n \\t}\\n \\ttj[0] = 30-cnt;\\n \\tfor(Integer i=0; i<=10; ++i)System.out.println(i.toString() + \\\"0.0%\\\" + \\\" : \\\" + tj[i]);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e7963d2873067946ce4d9da405623c86\",\n \"score\": \"0.57691354\",\n \"text\": \"private double classify(Node node, double[] data) {\\n // java does not implement tail call optimization therefore this should perform somewhat better than recursion\\n while (!node.isDecisionNode()) {\\n if (data[node.index] < node.value) {\\n node = node.left;\\n } else {\\n node = node.right;\\n }\\n }\\n return node.predictedClass;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44acec031f7700558a39a59c3b2836f8\",\n \"score\": \"0.57614946\",\n \"text\": \"public void buildClassifier(Instances data) throws Exception {\\n\\t\\tdata = new Instances(data);\\n\\t\\tthis.makeTree(data);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1013b8134061207503cdf1b4547e030d\",\n \"score\": \"0.575958\",\n \"text\": \"public final boolean classify()\\n throws ClassificationException {\\n try {\\n int iFirstID = 0;\\n int iSecondID = 0;\\n\\n restore();\\n\\n if (this.oIDs.size() == 0) {\\n Debug.debug(\\\"RandomClassification.classify() --- ID set is of 0 length.\\\");\\n\\n this.oIDs.add(new Integer(iFirstID));\\n\\n this.oResultSet.addResult\\n (\\n iFirstID,\\n 0,\\n getClass().getName() +\\n \\\" out of the blue\\\"\\n );\\n } else {\\n // Collect for stats\\n // XXX: Move to StatsCollector\\n iFirstID = ((Integer) this.oIDs.elementAt((int) (this.oIDs.size() * (new Random().nextDouble())))).intValue();\\n iSecondID = iFirstID;\\n\\n // Pick a different second best ID if there are > 1 IDs in there\\n while (iSecondID == iFirstID && this.oIDs.size() > 1) {\\n iSecondID = ((Integer) this.oIDs.elementAt((int) (this.oIDs.size() * (new Random().nextDouble())))).intValue();\\n }\\n\\n // If they are still equal (in case of one ID in oIDs), just add one.\\n if (iSecondID == iFirstID) {\\n iSecondID++;\\n }\\n\\n Debug.debug(\\\"RandomClassification.classify() --- ID1 = \\\" + iFirstID + \\\", ID2 = \\\" + iSecondID);\\n\\n this.oResultSet.addResult(iFirstID, 0, getClass().getName());\\n this.oResultSet.addResult(iSecondID, 1, getClass().getName());\\n }\\n\\n return true;\\n } catch (StorageException e) {\\n throw new ClassificationException(e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ecfdebb01cab8869de8c9c6d64b2efc\",\n \"score\": \"0.57594043\",\n \"text\": \"public static final void main (String args[]) throws Exception {\\n\\n\\t\\t/*\\n\\t\\t * If we are given an argument, load a file and extract some info and exit.\\n\\t\\t */\\n\\t\\tif (args.length > 0) {\\n\\n\\t\\t\\t//System.out.println(\\\"loading ...\\\");\\n\\t\\t\\tInstances D = new Instances(new BufferedReader(new FileReader(args[0])));\\n\\t\\t\\tint N = D.numInstances();\\n\\n\\t\\t\\tint L = Integer.parseInt(Utils.getOption('C',MLUtils.getDatasetOptions(D)));\\n\\t\\t\\tD.setClassIndex(L);\\n\\n\\t\\t\\tswitch(args[1].charAt(0)) {\\n\\n\\t\\t\\t\\tcase 'L' : System.out.println(L);\\t\\t\\t\\t\\t\\t\\t// return the number of labels of D\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tcase 'N' : System.out.println(D.numInstances());\\t\\t\\t// return the number of Instances of D\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tcase 'd' : System.out.println(D.numAttributes()-L);\\t\\t// reurns the number of (non-label) attributes of D\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tcase 'A' : System.out.println(D.numAttributes());\\t\\t\\t// returns the number of ALL attributes of D\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tcase 'l' : System.out.println(MLUtils.labelCardinality(D));\\t\\t// reurns the label cardinalities\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tcase 'P' : System.out.println(Arrays.toString(MLUtils.labelCardinalities(D)));\\t\\t// reurns the label cardinalities\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tcase 'C' : System.out.println(hashMapToString(MLUtils.countCombinations(D,L)));\\t\\t// counts\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tcase 'p' : System.out.println(\\\"collecting ...\\\");\\n\\t\\t\\t\\t\\t\\t\\tHashMap<LabelSet,Integer> hm = PSUtils.countCombinationsSparse(D,L);\\n\\t\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"pruning ...\\\");\\n\\t\\t\\t\\t\\t\\t\\t//MLUtils.pruneCountHashMap(hm,1);\\n\\t\\t\\t\\t\\t\\t\\t//System.out.println(\\\"\\\"+hm);\\n\\t\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"writing ...\\\");\\n\\t\\t\\t\\t\\t\\t\\tsaveObject(hm, \\\"hm-NEW.serialized\\\");\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\tdefault : \\tSystem.out.println(MLUtils.getDatasetName(D));\\t// returns the name of D\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\t/*\\n\\t\\t * Else, just do some tests ...\\n\\t\\t */\\n\\t\\telse {\\n\\n\\t\\t\\t// NEED THIS FOR SOME SCRIPTS\\n\\t\\t\\t/*\\n\\t\\t\\t String p[] = permute(args[0]);\\n\\t\\t\\t int i = 0;\\n\\t\\t\\t for(String s: p) {\\n\\t\\t\\t System.out.println(\\\"\\\"+(i++)+\\\" \\\"+s);\\n\\t\\t\\t }\\n\\t\\t\\t */\\n\\t\\t\\t//System.out.println(\\\"\\\"+Arrays.toString(invert(new int[]{1,2},6)));\\n\\t\\t\\t//System.out.println(\\\"\\\"+Arrays.toString(invert(new int[]{0,2},6)));\\n\\t\\t\\t//System.out.println(\\\"\\\"+Arrays.toString(invert(new int[]{5,2},6)));\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2a4b361b21f5b18c4c47e3bd75396d4\",\n \"score\": \"0.57387906\",\n \"text\": \"boolean classify(DataPoint dp) throws Exception{\\n\\t\\tInstance instance = datCreator.createTestInstance(dp);\\n\\t\\treturn classifier.classifyInstance(instance) == 0.0;\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf223a5e252b689ed390d326478c8fd7\",\n \"score\": \"0.57241964\",\n \"text\": \"@Override\\n public ArchetypesAnalysisResult archetypesClassification(String shortLanguage) {\\n String exportImagePath;\\n\\n if (System.getProperty(\\\"os.name\\\").startsWith(\\\"Windows\\\")) {\\n exportImagePath = \\\"c:/var/webapp/\\\";\\n } else {\\n exportImagePath = \\\"/var/webapp/\\\";\\n }\\n\\n ArchetypesAnalysis a =\\n new ArchetypesAnalysis(exportImagePath,\\n ArchetypesAnalysisCategories.G_R_V_L,\\n sakaiProxy.getCurrentUserId(),\\n projectLogic,\\n shortLanguage\\n );\\n return a.benchmarkStudents();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3714f169273c9b50a6125a1e435d1e4c\",\n \"score\": \"0.57217914\",\n \"text\": \"public static void main(String[] args) { SensitivityAnalysis analysis1 = new SensitivityAnalysis(\\\"data/SensitivityAnalysis/iTrust VSM Call.txt\\\");\\n// SensitivityAnalysis analysis2 = new SensitivityAnalysis(\\\"data/SensitivityAnalysis/iTrust JS Call.txt\\\");\\n\\n// SensitivityAnalysis analysis3 = new SensitivityAnalysis(\\\"data/SensitivityAnalysis/iTrust VSM Data.txt\\\");\\n// SensitivityAnalysis analysis4 = new SensitivityAnalysis(\\\"data/SensitivityAnalysis/iTrust JS Data.txt\\\");\\n//\\n// SensitivityAnalysis analysis5 = new SensitivityAnalysis(\\\"data/SensitivityAnalysis/Gantt VSM Call.txt\\\");\\n// SensitivityAnalysis analysis6 = new SensitivityAnalysis(\\\"data/SensitivityAnalysis/Gantt JS Call.txt\\\");\\n//\\n SensitivityAnalysis analysis7 = new SensitivityAnalysis(\\\"data/SensitivityAnalysis/Gantt VSM Data.txt\\\");\\n// SensitivityAnalysis analysis8 = new SensitivityAnalysis(\\\"data/SensitivityAnalysis/Gantt JS Data.txt\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d713b8c79029d8f24df3196f47a1d9e3\",\n \"score\": \"0.5715874\",\n \"text\": \"public static void main(String[] args ) throws Exception {\\r\\n\\t\\t\\r\\n\\t\\tif(args.length < 2) {\\r\\n\\t\\t\\tSystem.out.println(\\\"Too little arguments\\\");\\r\\n\\t\\t\\tSystem.exit(0);\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t// validation of smiles\\r\\n\\t\\t\\r\\n\\t\\tif(args[1] == \\\"ALL\\\") {\\r\\n\\t\\t\\t// predict all transporter\\r\\n\\t\\t\\t\\r\\n\\t\\t}\\r\\n\\t\\telse {\\r\\n\\t\\t\\tString transporter_name = args[1];\\r\\n\\t\\t\\tString input = args[0];\\r\\n\\t\\t\\tInstances instance = generate_test_instance(input,\\\"substrate\\\");\\r\\n\\t\\t\\tHashMap<String,String> result = run_classifier(instance,transporter_name,\\\"substrate\\\");\\r\\n\\t\\t\\tfor (String key : result.keySet()) {\\r\\n\\t\\t\\t\\tString result_each = result.get(key).toString();\\r\\n\\t\\t\\t\\tString result_key = key;\\r\\n\\t\\t\\t\\tSystem.out.println(result_key +\\\":\\\"+ result_each);\\r\\n\\t\\t }\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d17a7522cc50bb37eb026e1e7c7b2024\",\n \"score\": \"0.57102334\",\n \"text\": \"public static void main(String[] args){\\n\\t\\t\\r\\n\\t\\tMap<String, List<Tuple>> trainingTuplesMap = new HashMap<String, List<Tuple>>();\\r\\n\\t\\t\\r\\n\\t\\t//This list will be used in Random Forest code\\r\\n\\t\\tList<Tuple> trainingTuplesList = new ArrayList<Tuple>();\\r\\n\\t\\t\\r\\n\\t\\tList<Tuple> testTuples = new ArrayList<Tuple>();\\r\\n\\t\\tSet<Integer> attributeSet = new HashSet<Integer>();\\r\\n\\t\\tBufferedReader bufferedReader = null;\\r\\n\\t\\ttry{\\r\\n\\t\\t\\tFile file = new File(TRAINING_DATASET_LOCATION);\\r\\n\\t\\t\\tbufferedReader = new BufferedReader(new FileReader(file));\\t\\r\\n\\t\\t\\twhile (bufferedReader.ready()) { \\t\\t\\r\\n\\t \\t\\tString line=bufferedReader.readLine();\\r\\n\\t \\t\\tif(line == null || line.equals(\\\"\\\")){\\r\\n\\t \\t\\t\\tcontinue;\\r\\n\\t \\t\\t}\\r\\n\\t \\t\\tTuple aTuple = new Tuple(line);\\r\\n\\t \\t\\tSet<Integer> attributeSetForATuple = aTuple.getAttributeSet();\\r\\n\\t \\t\\tattributeSet.addAll(attributeSetForATuple);\\r\\n\\t \\t\\t\\r\\n\\t \\t\\ttrainingTuplesList.add(aTuple);\\r\\n\\t \\t\\t\\r\\n\\t \\t\\t//Add into the training tuple map which has key as the label\\r\\n\\t \\t\\tif(trainingTuplesMap.get(aTuple.getLabel()) == null){\\r\\n\\t \\t\\t\\ttrainingTuplesMap.put(aTuple.getLabel(), new ArrayList<Tuple>());\\r\\n\\t \\t\\t\\ttrainingTuplesMap.get(aTuple.getLabel()).add(aTuple);\\r\\n\\t \\t\\t} else {\\r\\n\\t \\t\\t\\ttrainingTuplesMap.get(aTuple.getLabel()).add(aTuple);\\r\\n\\t \\t\\t}\\r\\n\\t \\t}\\t \\t\\r\\n\\t\\t} catch(Exception e){\\r\\n\\t\\t\\tthrow new RuntimeException(\\\"Exception Occured in reading training file.\\\", e);\\r\\n\\t\\t} finally {\\r\\n\\t\\t\\ttry {\\r\\n\\t\\t\\t\\tbufferedReader.close();\\r\\n\\t\\t\\t} catch (IOException e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\r\\n\\t\\t\\t\\te.printStackTrace();\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t//Make a copy of attribute set as the generate decision tree method remove attributes from the set and we \\r\\n\\t\\t// have to use the attribute set for random forest\\r\\n\\t\\tSet<Integer> originalAttributeSet = new HashSet<Integer>(attributeSet);\\r\\n\\t\\t\\t\\r\\n\\t\\t// Generate the decision tree using basic algorithm\\r\\n\\t\\tNode N = generateDecisionTree(trainingTuplesMap, attributeSet, false);\\r\\n//\\t\\tSystem.out.println(N);\\r\\n\\t\\t\\r\\n\\t\\t// Read the test dataset and its labels\\r\\n\\t\\tStringBuffer outputContent = new StringBuffer();\\r\\n\\t\\tdouble truePredections = 0;\\r\\n\\t\\tdouble falsePredections = 0;\\r\\n\\t\\tdouble totalInstances = 0;\\r\\n\\t\\tdouble TPCount = 0;\\r\\n\\t\\tdouble TNCount = 0;\\r\\n\\t\\tdouble FPCount = 0;\\r\\n\\t\\tdouble FNCount = 0;\\r\\n\\t\\t\\r\\n\\t\\tdouble PCount = 0;\\r\\n\\t\\tdouble NCount = 0;\\r\\n\\t\\t\\r\\n\\t\\tStringBuffer finalOutput = new StringBuffer();\\r\\n\\t\\ttry{\\r\\n\\t\\t\\tFile file = new File(TEST_DATASET_LOCATION);\\r\\n\\t\\t\\tbufferedReader = new BufferedReader(new FileReader(file));\\t\\r\\n\\t\\t\\tTuple tuple = null;\\r\\n\\t\\t\\tString predictedLabel = null;\\r\\n\\t\\t\\tboolean isLabelPredictionCorrect;\\r\\n\\t\\t\\twhile (bufferedReader.ready()) { \\t\\t\\r\\n\\t \\t\\tString line=bufferedReader.readLine();\\r\\n\\t \\t\\tif(line == null || line.equals(\\\"\\\")){\\r\\n\\t \\t\\t\\tcontinue;\\r\\n\\t \\t\\t}\\r\\n\\t \\t\\ttuple = new Tuple(line);\\r\\n\\t \\t\\ttestTuples.add(tuple);\\r\\n\\t \\t\\toutputContent.append(line).append(\\\" -> \\\");\\r\\n\\t \\t\\ttry{\\r\\n\\t \\t\\t\\tif(tuple.getLabel().equals(\\\"+1\\\")){\\r\\n\\t \\t\\t\\t\\tPCount++;\\r\\n\\t \\t\\t\\t} else {\\r\\n\\t \\t\\t\\t\\tNCount++;\\r\\n\\t \\t\\t\\t}\\r\\n\\t \\t\\t\\tpredictedLabel = predictClassForTuple(N, tuple);\\r\\n\\t \\t\\t\\tisLabelPredictionCorrect = predictedLabel.equals(tuple.getLabel());\\r\\n\\t \\t\\t\\tif(isLabelPredictionCorrect){\\r\\n\\t \\t\\t\\t\\ttruePredections++;\\r\\n\\t \\t\\t\\t\\tif(predictedLabel.equals(\\\"+1\\\")){\\r\\n\\t \\t\\t\\t\\t\\tTPCount++;\\r\\n\\t \\t\\t\\t\\t} else {\\r\\n\\t \\t\\t\\t\\t\\tTNCount++;\\r\\n\\t \\t\\t\\t\\t}\\r\\n\\t \\t\\t\\t} else {\\r\\n\\t \\t\\t\\t\\tfalsePredections++;\\r\\n\\t \\t\\t\\t\\tif(predictedLabel.equals(\\\"+1\\\")){\\r\\n\\t \\t\\t\\t\\t\\tFPCount++;\\r\\n\\t \\t\\t\\t\\t} else {\\r\\n\\t \\t\\t\\t\\t\\tFNCount++;\\r\\n\\t \\t\\t\\t\\t}\\r\\n\\t \\t\\t\\t}\\r\\n\\t \\t\\t} catch(Exception e){\\r\\n//\\t \\t\\t\\tSystem.out.println(\\\"!!! Error - Exception occured. \\\"+e.getMessage());\\r\\n\\t \\t\\t\\tisLabelPredictionCorrect = false;\\r\\n\\t \\t\\t\\tfalsePredections++;\\r\\n\\t \\t\\t}\\r\\n\\t \\t\\t\\r\\n\\t \\t\\t\\r\\n\\t \\t\\toutputContent.append(isLabelPredictionCorrect);\\r\\n\\t \\t\\toutputContent.append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t \\t\\t\\r\\n\\t \\t}\\t\\r\\n\\t\\t\\ttotalInstances = testTuples.size();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tdouble accuracy = (truePredections *100)/totalInstances;\\r\\n\\t\\t\\tdouble errorRate = falsePredections / totalInstances;\\r\\n\\t\\t\\tdouble sensitivity = TPCount/(PCount);\\r\\n\\t\\t\\tdouble speficity = TNCount / (NCount);\\r\\n\\t\\t\\tdouble recall = TPCount / (TPCount+FNCount);\\r\\n\\t\\t\\tdouble precision = TPCount / (TPCount + FPCount);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tdouble F1 = (2*precision*recall) / (precision + recall);\\r\\n\\t\\t\\tdouble FB0Half = ((1+ (0.5 * 0.5 ))* precision * recall) / (((0.5 * 0.5 )*precision) + recall);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tdouble FB2 = ((1+ (2 * 2 ))* precision * recall) / (((2 * 2 )*precision) + recall);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"Total instances: \\\").append(totalInstances).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"True predictions: \\\").append(truePredections).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"False predictions: \\\").append(falsePredections).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"PCount: \\\").append(PCount).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"NCount: \\\").append(NCount).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"TPCount: \\\").append(TPCount).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"TNCount\\\").append(TNCount).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"FPCount\\\").append(FPCount).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"FNCount\\\").append(FNCount).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"Accuracy: \\\").append(accuracy).append(\\\"%\\\").append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"Error Rate: \\\").append(errorRate).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"sensitivity: \\\").append(sensitivity).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"speficity: \\\").append(speficity).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"precision: \\\").append(precision).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"recall: \\\").append(recall).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"F1: \\\").append(F1).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"FB0Half: \\\").append(FB0Half).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"FB2: \\\").append(FB2).append(System.getProperty(\\\"line.separator\\\")).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"***********************************\\\").append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(outputContent);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tSystem.out.println(finalOutput);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\twriteIntoFile(Main.OUTPUT_BASIC_FILE_NAME, finalOutput.toString());\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t} catch(Exception e){\\r\\n\\t\\t\\tthrow new RuntimeException(\\\"Exception Occured in reading test file.\\\", e);\\r\\n\\t\\t} finally {\\r\\n\\t\\t\\ttry {\\r\\n\\t\\t\\t\\tbufferedReader.close();\\r\\n\\t\\t\\t} catch (IOException e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\r\\n\\t\\t\\t\\te.printStackTrace();\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t/**\\r\\n\\t\\t * Random Forest method as the ensembel version of the classification method starts here\\r\\n\\t\\t */\\r\\n\\t\\t// Create k number of samples from training Set D of same size by sampling with replacement\\r\\n\\t\\tMap[] sampleTrainingTupleSets = new Map[Main.K + 1];\\r\\n\\t\\tNode[] decisionTrees = new Node[Main.K + 1];\\r\\n\\t\\tRandom rand = new Random();\\r\\n\\t\\t\\r\\n\\t\\tfor(int i = 0 ; i < Main.K; i++){\\r\\n\\t\\t\\tMap<String, List<Tuple>> Di = new HashMap<String, List<Tuple>>();\\r\\n\\t\\t\\tfor(int j = 0; j < trainingTuplesList.size(); j++){\\r\\n\\t\\t\\t\\t// nextInt excludes the top value so we should pass the training tuple list size.\\r\\n\\t\\t\\t\\t// if size is 100 then the nextInt method can return any value from 0 to 99 (including 0 and 99)\\r\\n\\t\\t\\t\\tTuple t = trainingTuplesList.get(rand.nextInt(trainingTuplesList.size()));\\r\\n\\t\\t\\t\\t//Add into the training tuple map which has key as the label\\r\\n\\t \\t\\tif(Di.get(t.getLabel()) == null){\\r\\n\\t \\t\\t\\tDi.put(t.getLabel(), new ArrayList<Tuple>());\\r\\n\\t \\t\\t\\tDi.get(t.getLabel()).add(t);\\r\\n\\t \\t\\t} else {\\r\\n\\t \\t\\t\\tDi.get(t.getLabel()).add(t);\\r\\n\\t \\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tsampleTrainingTupleSets[i] = Di;\\r\\n\\t\\t\\tSet attributeList = new HashSet(originalAttributeSet);\\r\\n\\t\\t\\tSystem.out.println(\\\"Generating deciosion tree for Di. i = \\\"+i);\\r\\n\\t\\t\\tdecisionTrees[i] = generateDecisionTree(Di, attributeList, true);\\r\\n\\t\\t}\\r\\n\\t\\tSystem.out.println(\\\"Created decisionTrees\\\");\\r\\n\\t\\tSystem.out.println(\\\"Now reading test data\\\");\\r\\n\\t\\t// Read the test dataset and its labels\\r\\n\\t\\toutputContent = new StringBuffer();\\r\\n\\t\\ttruePredections = 0;\\r\\n\\t\\tfalsePredections = 0;\\r\\n\\t\\ttotalInstances = 0;\\r\\n\\t\\t\\r\\n\\t\\tTPCount = 0;\\r\\n\\t\\tTNCount = 0;\\r\\n\\t\\tFPCount = 0;\\r\\n\\t\\tFNCount = 0;\\r\\n\\t\\tPCount = 0;\\r\\n\\t\\tNCount = 0;\\r\\n\\t\\t\\r\\n\\t\\ttestTuples = new ArrayList<Tuple>();\\r\\n\\t\\t\\r\\n\\t\\tfinalOutput = new StringBuffer();\\r\\n\\t\\ttry{\\r\\n\\t\\t\\tFile file = new File(TEST_DATASET_LOCATION);\\r\\n\\t\\t\\tbufferedReader = new BufferedReader(new FileReader(file));\\t\\r\\n\\t\\t\\tTuple tuple = null;\\r\\n\\t\\t\\tString predictedLabel = null;\\r\\n\\t\\t\\tboolean isLabelPredictionCorrect;\\r\\n\\t\\t\\twhile (bufferedReader.ready()) { \\t\\t\\r\\n\\t \\t\\tString line=bufferedReader.readLine();\\r\\n\\t \\t\\tif(line == null || line.equals(\\\"\\\")){\\r\\n\\t \\t\\t\\tcontinue;\\r\\n\\t \\t\\t}\\r\\n\\t \\t\\ttuple = new Tuple(line);\\r\\n\\t \\t\\tif(tuple.getLabel().equals(\\\"+1\\\")){\\r\\n \\t\\t\\t\\tPCount++;\\r\\n \\t\\t\\t} else {\\r\\n \\t\\t\\t\\tNCount++;\\r\\n \\t\\t\\t}\\r\\n\\t \\t\\t\\r\\n\\t \\t\\ttestTuples.add(tuple);\\r\\n\\t \\t\\toutputContent.append(line).append(\\\" -> \\\");\\r\\n\\t \\t\\ttry{\\r\\n\\t \\t\\t\\t//Maintains vote count for each class\\r\\n\\t \\t\\t\\tMap<String, Integer> voteMap = new HashMap<String, Integer>();\\r\\n\\t \\t\\t\\tfor(Node aDecisionTree : decisionTrees){\\r\\n\\t \\t\\t\\t\\ttry{\\r\\n\\t \\t\\t\\t\\t\\t\\r\\n\\t \\t\\t\\t\\t\\tpredictedLabel = predictClassForTuple(aDecisionTree, tuple);\\r\\n\\t \\t\\t\\t\\t\\tif(voteMap.get(predictedLabel) == null){\\r\\n\\t\\t \\t\\t\\t\\t\\tvoteMap.put(predictedLabel, 1);\\r\\n\\t\\t \\t\\t\\t\\t} else {\\r\\n\\t\\t \\t\\t\\t\\t\\tvoteMap.put(predictedLabel, voteMap.get(predictedLabel)+1);\\r\\n\\t\\t \\t\\t\\t\\t}\\r\\n\\t \\t\\t\\t\\t} catch(Exception e){\\r\\n\\t \\t\\t\\t\\t\\t//TODO: Handle exception\\r\\n\\t \\t\\t\\t\\t\\t\\r\\n\\t \\t\\t\\t\\t}\\r\\n\\t \\t\\t\\t}\\r\\n\\t \\t\\t\\tString majorityClass = null;\\r\\n\\t \\t\\t\\tint majorityClassVoteCount = 0;\\r\\n\\t \\t\\t\\tfor(String C : voteMap.keySet()){\\r\\n\\t \\t\\t\\t\\tif(majorityClass == null){\\r\\n\\t \\t\\t\\t\\t\\tmajorityClass = C;\\r\\n\\t \\t\\t\\t\\t\\tmajorityClassVoteCount = voteMap.get(C);\\r\\n\\t \\t\\t\\t\\t} else if(majorityClassVoteCount < voteMap.get(C)){\\r\\n\\t \\t\\t\\t\\t\\tmajorityClass = C;\\r\\n\\t \\t\\t\\t\\t\\tmajorityClassVoteCount = voteMap.get(C);\\r\\n\\t \\t\\t\\t\\t}\\r\\n\\t \\t\\t\\t}\\r\\n\\t \\t\\t\\tpredictedLabel = majorityClass;\\r\\n\\t \\t\\t\\t\\r\\n\\t \\t\\t\\tisLabelPredictionCorrect = predictedLabel.equals(tuple.getLabel());\\r\\n\\t \\t\\t\\tif(isLabelPredictionCorrect){\\r\\n\\t \\t\\t\\t\\ttruePredections++;\\r\\n\\t \\t\\t\\t\\tif(predictedLabel.equals(\\\"+1\\\")){\\r\\n\\t \\t\\t\\t\\t\\tTPCount++;\\r\\n\\t \\t\\t\\t\\t} else {\\r\\n\\t \\t\\t\\t\\t\\tTNCount++;\\r\\n\\t \\t\\t\\t\\t}\\r\\n\\t \\t\\t\\t} else {\\r\\n\\t \\t\\t\\t\\tfalsePredections++;\\r\\n\\t \\t\\t\\t\\tif(predictedLabel.equals(\\\"+1\\\")){\\r\\n\\t \\t\\t\\t\\t\\tFPCount++;\\r\\n\\t \\t\\t\\t\\t} else {\\r\\n\\t \\t\\t\\t\\t\\tFNCount++;\\r\\n\\t \\t\\t\\t\\t}\\r\\n\\t \\t\\t\\t}\\r\\n\\t \\t\\t} catch(Exception e){\\r\\n//\\t \\t\\t\\tSystem.out.println(\\\"!!! Error - Exception occured. \\\"+e.getMessage());\\r\\n\\t \\t\\t\\tisLabelPredictionCorrect = false;\\r\\n\\t \\t\\t\\tfalsePredections++;\\r\\n\\t \\t\\t}\\r\\n\\t \\t\\t\\r\\n\\t \\t\\t\\r\\n\\t \\t\\toutputContent.append(isLabelPredictionCorrect);\\r\\n\\t \\t\\toutputContent.append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t \\t\\t\\r\\n\\t \\t}\\t\\r\\n\\t\\t\\ttotalInstances = testTuples.size();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tdouble accuracy = (truePredections *100)/totalInstances;\\r\\n\\t\\t\\tdouble errorRate = falsePredections / totalInstances;\\r\\n\\t\\t\\tdouble sensitivity = TPCount/(PCount);\\r\\n\\t\\t\\tdouble speficity = TNCount / (NCount);\\r\\n\\t\\t\\tdouble precision = TPCount / (TPCount + FPCount);\\r\\n\\t\\t\\tdouble recall = TPCount / (TPCount+FNCount);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tdouble F1 = (2*precision*recall) / (precision + recall);\\r\\n\\t\\t\\tdouble FB0Half = ((1+ (0.5 * 0.5 ))* precision * recall) / (((0.5 * 0.5 )*precision) + recall);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tdouble FB2 = ((1+ (2 * 2 ))* precision * recall) / (((2 * 2 )*precision) + recall);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"Total instances: \\\").append(totalInstances).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"True predictions: \\\").append(truePredections).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"False predictions: \\\").append(falsePredections).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"PCount: \\\").append(PCount).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"NCount: \\\").append(NCount).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"Accuracy: \\\").append(accuracy).append(\\\"%\\\").append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"Error Rate: \\\").append(errorRate).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"sensitivity: \\\").append(sensitivity).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"speficity: \\\").append(speficity).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"precision: \\\").append(precision).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"recall: \\\").append(recall).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"F1: \\\").append(F1).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"FB0Half: \\\").append(FB0Half).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(\\\"FB2: \\\").append(FB2).append(System.getProperty(\\\"line.separator\\\")).append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfinalOutput.append(\\\"***********************************\\\").append(System.getProperty(\\\"line.separator\\\"));\\r\\n\\t\\t\\tfinalOutput.append(outputContent);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tSystem.out.println(finalOutput);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\twriteIntoFile(Main.OUTPUT_ENSEMBLE_FILE_NAME, finalOutput.toString());\\r\\n\\t\\t} catch(Exception e){\\r\\n\\t\\t\\tthrow new RuntimeException(\\\"Exception Occured in reading test file.\\\", e);\\r\\n\\t\\t} finally {\\r\\n\\t\\t\\ttry {\\r\\n\\t\\t\\t\\tbufferedReader.close();\\r\\n\\t\\t\\t} catch (IOException e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\r\\n\\t\\t\\t\\te.printStackTrace();\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f4988e4410a8e31fb1b3f984fcc328ef\",\n \"score\": \"0.5704189\",\n \"text\": \"public static void main(String[] args) throws Exception {\\n\\t\\tString crawlStorageFolder = \\\"/Users/meena/CSCI_Information_Retrieval/HW2/data/crawl\\\";\\r\\n\\t\\tint numberOfCrawlers = 7;\\r\\n\\t\\t\\r\\n\\t\\tString fetchCSV = \\\"fetch_CNN.csv\\\";\\r\\n\\t\\tString visitCSV = \\\"visit_CNN.csv\\\";\\r\\n\\t\\tString urlsCSV = \\\"urls_CNN.csv\\\";\\r\\n\\t\\t\\r\\n\\t\\tCSVWriter fetchWriter = new CSVWriter(new FileWriter(fetchCSV));\\r\\n\\t\\tCSVWriter visitWriter = new CSVWriter(new FileWriter(visitCSV));\\r\\n\\t\\tCSVWriter urlsWriter = new CSVWriter(new FileWriter(urlsCSV));\\r\\n\\t\\t\\r\\n\\t\\tString[] fetchRecord = {\\\"URL\\\", \\\"Status_Code\\\"};\\r\\n\\t\\tString[] visitRecord = {\\\"URL\\\", \\\"Size\\\", \\\"Number of outlinks\\\", \\\"Content Type\\\"};\\r\\n\\t\\tString[] urlRecord = {\\\"Encoutered URL\\\", \\\"Consideration Status\\\"};\\r\\n\\t\\t\\r\\n\\t\\tfetchWriter.writeNext(fetchRecord);\\r\\n\\t\\tfetchWriter.close();\\r\\n\\t\\t\\r\\n\\t\\tvisitWriter.writeNext(visitRecord);\\r\\n\\t\\tvisitWriter.close();\\r\\n\\t\\t\\r\\n\\t\\turlsWriter.writeNext(urlRecord);\\r\\n\\t\\turlsWriter.close();\\r\\n\\t\\t\\r\\n\\t\\tCrawlConfig config = new CrawlConfig();\\r\\n\\t\\tconfig.setCrawlStorageFolder(crawlStorageFolder);\\r\\n\\t\\tconfig.setMaxDepthOfCrawling(16);\\r\\n\\t\\tconfig.setMaxPagesToFetch(20000);\\r\\n\\t\\tconfig.setIncludeHttpsPages(true);\\r\\n\\t\\tconfig.setIncludeBinaryContentInCrawling(true);\\r\\n\\t\\t\\r\\n\\t\\tPageFetcher pageFetcher = new PageFetcher(config);\\r\\n\\t\\tRobotstxtConfig robotstxtConfig = new RobotstxtConfig();\\r\\n\\t\\tRobotstxtServer robotstxtServer = new RobotstxtServer(robotstxtConfig, pageFetcher);\\r\\n\\t\\tCrawlController controller = new CrawlController(config, pageFetcher, robotstxtServer);\\r\\n\\t\\t\\r\\n\\t\\tcontroller.addSeed(\\\"https://www.cnn.com/\\\");\\r\\n\\t\\t\\r\\n\\t\\tcontroller.start(MyCrawler.class, numberOfCrawlers);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d401536aa8099acdfb729a6b2e4d2d1f\",\n \"score\": \"0.5702164\",\n \"text\": \"@Test\\n @Category(TestCategories.Report.class)\\n public void sentiment_analysis_decision_tree() throws IOException {\\n try (NotebookOutput log = MarkdownNotebookOutput.get(this)) {\\n log.h1(\\\"Sentiment Analysis using a Decision Tree\\\");\\n int testingSize = 1000;\\n int trainingSize = 50000;\\n log.p(\\\"First, we cache positive and negative sentiment tweets into two seperate models\\\");\\n List<TweetSentiment> tweetsPositive = log.code(() -> {\\n ArrayList<TweetSentiment> list = new ArrayList<>(TweetSentiment.load()\\n .filter(x -> x.category == 1).limit(testingSize + trainingSize).collect(Collectors.toList()));\\n Collections.shuffle(list);\\n return list;\\n });\\n List<TweetSentiment> tweetsNegative = log.code(() -> {\\n ArrayList<TweetSentiment> list = new ArrayList<>(TweetSentiment.load()\\n .filter(x -> x.category == 0).limit(testingSize + trainingSize).collect(Collectors.toList()));\\n Collections.shuffle(list);\\n return list;\\n });\\n Function<String, Map<String, Double>> rule = log.code(() -> {\\n HashMap<String, List<String>> map = new HashMap<>();\\n map.put(\\\"Positive\\\", tweetsPositive.stream().limit(trainingSize).map(x -> x.getText()).collect(Collectors.toList()));\\n map.put(\\\"Negative\\\", tweetsNegative.stream().limit(trainingSize).map(x -> x.getText()).collect(Collectors.toList()));\\n return new ClassificationTree().setVerbose(System.out).categorizationTree(map, 32);\\n });\\n TableOutput table = new TableOutput();\\n log.code(() -> {\\n return tweetsPositive.stream().skip(trainingSize).map(x -> x.getText()).mapToDouble(str -> {\\n Map<String, Double> prob = rule.apply(str);\\n HashMap<String, Object> row = new LinkedHashMap<>();\\n row.put(\\\"Category\\\", \\\"Positive\\\");\\n row.put(\\\"Prediction\\\", prob.entrySet().stream().max(Comparator.comparing(x -> x.getValue())).get().getKey());\\n prob.forEach((category, count) -> row.put(category + \\\"%\\\", count * 100));\\n row.put(\\\"Text\\\", str);\\n table.putRow(row);\\n return prob.getOrDefault(\\\"Positive\\\", 0.0) < 0.5 ? 0.0 : 1.0;\\n }).average().getAsDouble() * 100.0 + \\\"%\\\";\\n });\\n log.code(() -> {\\n return tweetsNegative.stream().skip(trainingSize).map(x -> x.getText()).mapToDouble(str -> {\\n Map<String, Double> prob = rule.apply(str);\\n HashMap<String, Object> row = new LinkedHashMap<>();\\n row.put(\\\"Category\\\", \\\"Negative\\\");\\n row.put(\\\"Prediction\\\", prob.entrySet().stream().max(Comparator.comparing(x -> x.getValue())).get().getKey());\\n prob.forEach((category, count) -> row.put(category + \\\"%\\\", count * 100));\\n row.put(\\\"Text\\\", str);\\n table.putRow(row);\\n return prob.getOrDefault(\\\"Negative\\\", 0.0) < 0.5 ? 0.0 : 1.0;\\n }).average().getAsDouble() * 100.0 + \\\"%\\\";\\n });\\n //log.p(table.toTextTable());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8c7354194fc36c1f5eb9c111d915c151\",\n \"score\": \"0.5699693\",\n \"text\": \"public static void runAnalysis() {\\n\\n //Confused users are exposed to a different version than their own\\n int confused = userGraph.countConfused();\\n\\n int total = userGraph.users.size();\\n\\n //Happy users are not confused\\n int happy = userGraph.countClassrooms(true);\\n\\n int unhappy = userGraph.countClassrooms(false);\\n\\n int infected = userGraph.countInfected();\\n\\n double fracConfused = ((double)confused / (double)total);\\n\\n System.out.println();\\n System.out.println(infected + \\\" users are now infected\\\");\\n userGraph.printInfected();\\n System.out.println();\\n System.out.println(\\\"There are \\\" + total + \\\" users in this graph\\\");\\n System.out.println(confused + \\\" are confused\\\");\\n System.out.println(String.format(\\\"%.2f\\\", fracConfused) + \\\"% of the graph is confused\\\");\\n System.out.println(\\\"There are \\\" + happy + \\\" happy classrooms in the graph\\\");\\n System.out.println(\\\"There are \\\" + unhappy + \\\" unhappy classroms in the graph\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"066076579910383e32b64606f9927667\",\n \"score\": \"0.5698593\",\n \"text\": \"private void printClassifiedData(Instances labeled) {\\r\\n\\t\\tCSVSaver csvSaver = new CSVSaver();\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tcsvSaver.setFile(new File(m_hwrConfig.get_output_dir() + File.separator\\r\\n\\t\\t\\t\\t\\t+m_hwrConfig.get_classifier_name()+\\\"_classified_data.csv\\\"));\\r\\n\\t\\t\\tcsvSaver.setInstances(labeled);\\r\\n\\t\\t\\tcsvSaver.writeBatch();\\r\\n\\t\\t} catch (IOException e) {\\r\\n\\t\\t\\tm_logger.error(\\\"Error occurred while printing classified data\\\", e);\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91a9fa63131989a4ae5a3b2845b9658f\",\n \"score\": \"0.5694285\",\n \"text\": \"public String classify(SoybeanData[] trainData, int[] test) {\\r\\n double[] C = new double[4];\\r\\n SoybeanData[][] train = separateByClass(trainData);\\r\\n\\r\\n for (int i= 0; i< C.length; i++) {\\r\\n double product= 1;\\r\\n double[][] trainedData = train(train[i]);\\r\\n for (int j= 0; j< numFeatures; j++) {\\r\\n product *= trainedData[j][test[j]];\\r\\n }\\r\\n C[i]= probOfClass[i] * product;\\r\\n }\\r\\n\\r\\n //return argmax (this could be done cleaner)\\r\\n if (C[0] > C[1] && C[0] > C[2] && C[0] > C[3]) {\\r\\n return \\\"D1\\\";\\r\\n }\\r\\n else if (C[1] > C[0] && C[1] > C[2] && C[1] > C[3]) {\\r\\n return \\\"D2\\\";\\r\\n }\\r\\n else if (C[2] > C[0] && C[2] > C[1] && C[2] > C[3]) {\\r\\n return \\\"D3\\\";\\r\\n }\\r\\n else {\\r\\n return \\\"D4\\\";\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2838c93bfe636d9771924e4d3bf68edf\",\n \"score\": \"0.56941974\",\n \"text\": \"@Override\\n public void buildClassifier(Instances data) throws Exception {\\n\\n // can classifier handle the data?\\n getCapabilities().testWithFail(data);\\n\\n // remove instances with missing class\\n data = new Instances(data);\\n \\n Default default_data = computeDefaultValue(data);\\n makeTree(data, default_data, null);\\n myC45 finalTree = new myC45();\\n //finalTree = this;\\n //finalTree = pruneTree(finalTree);\\n //copy(finalTree);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a1384b90b3d0adbcb3f5982bb7a19ca\",\n \"score\": \"0.56825286\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\t\\n\\t\\tList<String> list = new ArrayList<String>();\\n\\t\\tlist.add(\\\"C:\\\\\\\\Users\\\\\\\\Administrator\\\\\\\\Desktop\\\\\\\\DB\\\\\\\\hazelcast_559\\\");\\n\\t\\t//list.add(\\\"I:\\\\\\\\EEEEEEEEEEclipse\\\\\\\\DataCrawler\\\\\\\\src\\\\\\\\main\\\\\\\\java\\\\\\\\githubCrawler\\\\\\\\GitCrawler.java\\\");\\n\\t\\tMetrcis3 codeAnalysis = new Metrcis3();\\n\\t\\t//codeAnalysis.commentRatio(list);\\n\\t\\t//codeAnalysis.commentMethod(list);\\n\\t\\t//codeAnalysis.classLen(list);\\n\\t\\t//codeAnalysis.funcLen(list);\\n\\t\\t//codeAnalysis.blankB4cmt(list);\\n\\t\\t//codeAnalysis.blankAfterCmt(list);\\n\\t\\t//codeAnalysis.blankBetweenCAndC(list);\\n\\t\\ttry {\\n\\t\\t\\tSystem.out.println(codeAnalysis.getMetrics3Result(list));\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c05e8cf9e7eb875be3c562c8aaf6e559\",\n \"score\": \"0.5678303\",\n \"text\": \"public RunStats run (Classifier classifier){\\n\\t\\tRunStats stats= new RunStats();\\n\\t\\tif (hasLoadedData){\\n\\t\\t\\tpartitionData(); //Randomly partitions the data according to the partitionPercentage variable\\n\\t\\t\\tlatestResults=classifier.classify(trainingData, testingData); //Stores the latest results\\n\\t\\t\\tstats.calculateRunStats(latestResults, testingData); //Calculates the stats\\n\\t\\t}\\n\\t\\treturn stats; //Returns the stats\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"be4732f731fd8b1dba951bbe3cfce162\",\n \"score\": \"0.56724054\",\n \"text\": \"public void classify(String state);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d52c53bcf22082cef013f88e3c0bb55e\",\n \"score\": \"0.5668271\",\n \"text\": \"public double[][] train(SoybeanData[] classSpecificData) {\\r\\n int[][] count = new int[35][7];\\r\\n double[][] model = new double[35][7];\\r\\n for (SoybeanData data : classSpecificData) {\\r\\n if (data != null) {\\r\\n for (int i = 0; i < numFeatures; i++) {\\r\\n int[] attributeData = data.getFeatures();\\r\\n int attr = attributeData[i];\\r\\n\\r\\n for (int j = 0; j < numFeatures; j++) {\\r\\n if (attr == j) {\\r\\n count[i][j]++;\\r\\n }\\r\\n }\\r\\n }\\r\\n }\\r\\n }\\r\\n for (int i= 0; i< numFeatures; i++) {\\r\\n for (int j= 0; j< 7; j++) {\\r\\n model[i][j] = (double)count[i][j] / (classSpecificData.length + numFeatures);//<-- making denominator smaller = worse accuracy on c3 ?!\\r\\n }\\r\\n// System.out.println(Arrays.toString(model[i]));\\r\\n }\\r\\n\\r\\n return model;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0736c8e59dfb3944e595eec0d02720a2\",\n \"score\": \"0.56666696\",\n \"text\": \"public static void compare_multiple_classifiers_with_k_fold() {\\n\\t\\t\\t\\n\\t\\t\\ttry {\\n\\t\\t\\t\\t// load the dataset\\n\\t\\t\\t\\tDataset dataset = new Dataset(\\\"project_files/E34\\\");\\n\\t\\t\\t\\tSystem.out.println(dataset);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// create the list of classifiers, must use the type AbstractClassifier, to gather the different\\n\\t\\t\\t\\t// classifiers in one list\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tList<AbstractClassifier> classifiers_list = new ArrayList<>();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// for example, we'll compare knn, Kmeans and Kmeans++\\n\\t\\t\\t\\tclassifiers_list.add(new KnnClassifier(1, 1));\\n\\t\\t\\t\\tclassifiers_list.add(new KmeansClassifier(9, 4, 100, \\\"enhanced_random\\\"));\\n\\t\\t\\t\\tclassifiers_list.add(new KmeansClassifier(9, 2));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// define your k value\\n\\t\\t\\t\\tint k = 3; // if you want to perform leave one out -> k = dataset.size()\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// want details ?\\n\\t\\t\\t\\tboolean verbose = true, shuffle = true;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// save accuracies into a list\\n\\t\\t\\t\\tList<CrossValEntry> accuracies = Evaluation.cross_validation(classifiers_list, dataset, k, shuffle, verbose);\\n\\t\\t\\t} catch (IOException e) {\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t}\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9807b399e58f53b0376f9965e99a016d\",\n \"score\": \"0.5657438\",\n \"text\": \"public void condensedTrainClassify(ArrayList<double[]> trainingData, String distanceMethod, int[] categoricalFeatures) {\\r\\n\\t\\tSystem.out.println(\\\"------CONDENSED TRAINING-----\\\");\\r\\n\\t\\tArrayList<double[]> currentModel = new ArrayList<double[]>();\\r\\n\\t\\tCollections.shuffle(trainingData);\\r\\n\\t\\tcurrentModel.add(trainingData.get(0));\\r\\n\\t\\tfor(int sample=1;sample<trainingData.size();sample++) {\\r\\n\\t\\t\\tSystem.out.println(\\\"Prediction for: \\\" + trainingData.get(sample)[0]);\\r\\n\\t\\t\\tint predictedClass = knnClassifyPoint(currentModel,trainingData.get(sample),1,distanceMethod,categoricalFeatures);\\r\\n\\t\\t\\tSystem.out.println(\\\"PREDICTED: \\\" + predictedClass + \\\", ACTUAL: \\\" + trainingData.get(sample)[0]);\\r\\n\\t\\t\\tif (predictedClass != (int)trainingData.get(sample)[0]) {\\r\\n\\t\\t\\t\\tSystem.out.println(\\\"Sample misclassifed; added to condensed kNN model\\\\n\\\");\\r\\n\\t\\t\\t\\tcurrentModel.add(trainingData.get(sample));\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\tthis.trainedModel = currentModel;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7794de0525d83ceae2dfe1518d446799\",\n \"score\": \"0.5647207\",\n \"text\": \"public static void main(String[] args) throws IOException {\\n\\n File InputFile = new ClassPathResource(\\\"IrdologyCholesterolClassification\\\").getFile();\\n\\n IrdologyIterator iterator = new IrdologyIterator();\\n iterator.setup(InputFile, height, width, nChannels, batchSize, nClasses);\\n\\n DataSetIterator trainIter = iterator.getTrain();\\n testIter = iterator.getTest();\\n label = trainIter.getLabels();\\n\\n // If model does not exist, train the model, else directly go to model evaluation and then run real time object detection inference.\\n if (modelFilename.exists()) {\\n\\n // STEP 2 : Load trained model from previous execution\\n Nd4j.getRandom().setSeed(seed);\\n log.info(\\\"Load model...\\\");\\n model = ModelSerializer.restoreComputationGraph(modelFilename);\\n\\n } else {\\n Nd4j.getRandom().setSeed(seed);\\n// INDArray priors = Nd4j.create(priorBoxes);\\n\\n // STEP 2 : Train the model using Transfer Learning\\n // STEP 2.1: Transfer Learning steps - Load TinyYOLO prebuilt model.\\n log.info(\\\"Build model...\\\");\\n ComputationGraph pretrained = (ComputationGraph) VGG16.builder().build().initPretrained();\\n\\n // STEP 2.2: Transfer Learning steps - Model Configurations.\\n FineTuneConfiguration fineTuneConf = getFineTuneConfiguration();\\n\\n // STEP 2.3: Transfer Learning steps - Modify prebuilt model's architecture\\n model = getComputationGraph(pretrained, fineTuneConf);\\n System.out.println(model.summary(InputType.convolutional(height, width, nClasses)));\\n\\n // STEP 2.4: Training and Save model.\\n log.info(\\\"Train model...\\\");\\n// UIServer server = UIServer.getInstance();\\n StatsStorage storage = new InMemoryStatsStorage();\\n// server.attach(storage);\\n model.setListeners(new ScoreIterationListener(1), new StatsListener(storage));\\n\\n for (int i = 1; i < epochs + 1; i++) {\\n trainIter.reset();\\n while (trainIter.hasNext()) {\\n model.fit(trainIter.next());\\n }\\n log.info(\\\"*** Completed epoch {} ***\\\", i);\\n }\\n ModelSerializer.writeModel(model, modelFilename, true);\\n System.out.println(\\\"Model saved.\\\");\\n }\\n // STEP 3: Evaluate the model's accuracy by using the test iterator.\\n evaluate();\\n\\n \\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"723d43644ec846b61cc96a06b1591303\",\n \"score\": \"0.5644574\",\n \"text\": \"@Override\\n\\tpublic void buildClassifier(IDataSet instances) throws Exception {\\n\\n\\t\\tclassifier.buildClassifier(instances.getDataset());\\n\\t\\tSystem.out.println(classifier.toString());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2aa49f2cc9c537ad2112889a57ed2a1d\",\n \"score\": \"0.56394327\",\n \"text\": \"public static void main(String[] args) {\\n\\n\\t\\tCrossValidation crv = new CrossValidation();\\n\\t\\t//\\t\\t\\tdriver.readTrainingFile(\\\"sample_train.txt\\\");\\n\\t\\tcrv.readTrainingFile(\\\"sample_test.txt\\\");\\n\\t\\tcrv.readTestFile(\\\"sample2\\\");\\n\\t\\tint[][] res;\\n\\t\\tArrayList scr=scores;\\n\\t\\tres=crv.matrixOutput(\\\"sample2\\\",scr);\\n\\t\\tcrv.displayMatrix(res);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"18648ce7851c4117a2fae6b58920beb3\",\n \"score\": \"0.56228805\",\n \"text\": \"public List<ClassificationDataSet> trainC(final ClassificationDataSet data, Set<Integer> options, boolean parallel) {\\n if (predicting == null)\\n throw new RuntimeException(\\\"Predicting value has not been set\\\");\\n\\n catAttributes = data.getCategories();\\n numNumericFeatures = data.getNumNumericalVars();\\n final ImpurityScore origScoreObj = getClassGainScore(data);\\n double origScore = origScoreObj.getScore();\\n\\n if (origScore == 0.0 || data.size() < minResultSplitSize * 2)// Then all data points belond to the same category!\\n {\\n results = new CategoricalResults[1];// Only one path!\\n results[0] = new CategoricalResults(predicting.getNumOfCategories());\\n results[0].setProb(data.getDataPointCategory(0), 1.0);\\n pathRatio = new double[] { 0 };\\n List<ClassificationDataSet> toReturn = new ArrayList<>();\\n toReturn.add(data);\\n return toReturn;\\n }\\n\\n /**\\n * The splitting for the split on the attribute with the best gain\\n */\\n final List<ClassificationDataSet> bestSplit = Collections.synchronizedList(new ArrayList<>());\\n /**\\n * best gain in information we have seen so far\\n */\\n final AtomicDouble bestGain = new AtomicDouble(-1);\\n final DoubleArrayList bestRatio = new DoubleArrayList();\\n /**\\n * The best attribute to split on\\n */\\n splittingAttribute = -1;\\n final CountDownLatch latch = new CountDownLatch(options.size());\\n\\n final ThreadLocal<ClassificationDataSet> localList = ThreadLocal.withInitial(() -> data.shallowClone());\\n\\n ExecutorService ex = parallel ? ParallelUtils.CACHED_THREAD_POOL : new FakeExecutor();\\n for (final int attribute_to_consider : options) {\\n ex.submit(() -> {\\n try {\\n ClassificationDataSet DPs = localList.get();\\n int attribute = attribute_to_consider;\\n final double[] gainRet = new double[] { Double.NaN };\\n gainRet[0] = Double.NaN;\\n List<ClassificationDataSet> aSplit;\\n KeyValue<DoubleList, IntList> tmp = null;// Used on numerical attributes\\n\\n ImpurityScore[] split_scores = null;// used for cat\\n double weightScale = 1.0;\\n\\n if (attribute < catAttributes.length)// Then we are doing a categorical split\\n {\\n // Create a list of lists to hold the split variables\\n aSplit = listOfLists(data, catAttributes[attribute].getNumOfCategories());\\n split_scores = new ImpurityScore[aSplit.size()];\\n for (int i = 0; i < split_scores.length; i++)\\n split_scores[i] = new ImpurityScore(predicting.getNumOfCategories(), gainMethod);\\n\\n IntArrayList wasMissing = new IntArrayList();\\n double missingSum = 0.0;\\n // Now seperate the values in our current list into their proper split bins\\n for (int i = 0; i < data.size(); i++) {\\n int val = data.getDataPoint(i).getCategoricalValue(attribute);\\n double weight = data.getWeight(i);\\n if (val >= 0) {\\n aSplit.get(val).addDataPoint(data.getDataPoint(i), data.getDataPointCategory(i), weight);\\n split_scores[val].addPoint(weight, data.getDataPointCategory(i));\\n } else {\\n wasMissing.add(i);\\n missingSum += weight;\\n }\\n\\n }\\n\\n int pathsTaken = 0;\\n for (ClassificationDataSet split : aSplit)\\n if (split.size() > 0)\\n pathsTaken++;\\n if (pathsTaken <= 1)// not a good path, avoid looping on this junk. Can be caused by missing data\\n {\\n latch.countDown();\\n return;\\n }\\n\\n if (missingSum > 0)// move missing values into others\\n {\\n double newSum = (origScoreObj.getSumOfWeights() - missingSum);\\n weightScale = newSum / origScoreObj.getSumOfWeights();\\n double[] fracs = new double[split_scores.length];\\n for (int i = 0; i < fracs.length; i++)\\n fracs[i] = split_scores[i].getSumOfWeights() / newSum;\\n\\n distributMissing(aSplit, fracs, data, wasMissing);\\n }\\n } else// Spliting on a numerical value\\n {\\n attribute -= catAttributes.length;\\n int N = predicting.getNumOfCategories();\\n\\n // Create a list of lists to hold the split variables\\n aSplit = listOfLists(data, 2);// Size at least 2\\n split_scores = new ImpurityScore[2];\\n tmp = createNumericCSplit(DPs, N, attribute, aSplit, origScoreObj, gainRet, split_scores);\\n if (tmp == null) {\\n latch.countDown();\\n return;\\n }\\n\\n // Fix it back so it can be used below\\n attribute += catAttributes.length;\\n }\\n\\n // Now everything is seperated!\\n double gain;// = Double.isNaN(gainRet[0]) ? : gainRet[0];\\n if (!Double.isNaN(gainRet[0]))\\n gain = gainRet[0];\\n else {\\n if (split_scores == null)\\n split_scores = getClassGainScore(aSplit);\\n gain = ImpurityScore.gain(origScoreObj, weightScale, split_scores);\\n }\\n\\n if (gain > bestGain.get()) {\\n synchronized (bestRatio) {\\n if (gain > bestGain.get())// double check incase changed\\n {\\n bestGain.set(gain);\\n splittingAttribute = attribute;\\n bestSplit.clear();\\n bestSplit.addAll(aSplit);\\n bestRatio.clear();\\n\\n double sum = 1e-8;\\n for (int i = 0; i < split_scores.length; i++) {\\n sum += split_scores[i].getSumOfWeights();\\n bestRatio.add(split_scores[i].getSumOfWeights());\\n }\\n for (int i = 0; i < split_scores.length; i++)\\n bestRatio.set(i, bestRatio.getDouble(i) / sum);\\n\\n if (attribute >= catAttributes.length) {\\n boundries = tmp.getKey();\\n owners = tmp.getValue();\\n }\\n }\\n }\\n }\\n\\n latch.countDown();\\n } catch (Exception easx) {\\n easx.printStackTrace();\\n System.out.println();\\n }\\n });\\n }\\n\\n try {\\n latch.await();\\n } catch (InterruptedException ex1) {\\n Logger.getLogger(DecisionStump.class.getName()).log(Level.SEVERE, null, ex1);\\n throw new FailedToFitException(ex1);\\n }\\n\\n if (splittingAttribute == -1)// We could not find a good split at all\\n {\\n bestSplit.clear();\\n bestSplit.add(data);\\n CategoricalResults badResult = new CategoricalResults(data.getPriors());\\n results = new CategoricalResults[] { badResult };\\n pathRatio = new double[] { 1 };\\n return bestSplit;\\n }\\n if (splittingAttribute < catAttributes.length || removeContinuousAttributes)\\n options.remove(splittingAttribute);\\n results = new CategoricalResults[bestSplit.size()];\\n pathRatio = new DenseVector(bestRatio.elements(), 0, bestRatio.size()).arrayCopy();\\n for (int i = 0; i < bestSplit.size(); i++)\\n results[i] = new CategoricalResults(bestSplit.get(i).getPriors());\\n\\n return bestSplit;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e9bd673f8282056b9afbcb11e0749be\",\n \"score\": \"0.56204534\",\n \"text\": \"public double classify(DoubleData dObj)\\n {\\n \\tfor (Rule r : m_Rules)\\n {\\n if (r.matches(dObj))\\n {\\n m_nNoOfMatchesWithRules++;\\n return r.getDecision();\\n }\\n }\\n return m_DecisionAttribute.globalValueCode(m_nMajorityDecision);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"759c5d99f0cac05a1d672860c54d754e\",\n \"score\": \"0.56116235\",\n \"text\": \"public static void main(String[] args) {\\n //TreeFactory tf = new LabeledScoredTreeFactory();\\n Tree stringyTree = null;\\n try {\\n stringyTree = (new PennTreeReader(new StringReader(\\\"(S (VP (VBZ Try) (NP (DT this))) (. .))\\\"), new LabeledScoredTreeFactory(new StringLabelFactory()))).readTree();\\n } catch (IOException e) {\\n // do nothing\\n }\\n System.out.println(stringyTree);\\n Function<Tree, Tree> a = getLabeledTreeToCategoryWordTagTreeFunction();\\n Tree adaptyTree = a.apply(stringyTree);\\n System.out.println(adaptyTree);\\n adaptyTree.percolateHeads(new CollinsHeadFinder());\\n System.out.println(adaptyTree);\\n\\n Function<Tree, Tree> b = getLabeledTreeToStringLabeledTreeFunction();\\n Tree stringLabelTree = b.apply(adaptyTree);\\n System.out.println(stringLabelTree);\\n\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990987,"cells":{"query_id":{"kind":"string","value":"0bbd12175e11136fc572d7c3344bd704"},"query":{"kind":"string","value":"Load the list with shops"},"positive_passages":{"kind":"list like","value":[{"docid":"95573f3c735ae9fb57216c0cec20af40","score":"0.8387866","text":"public void loadShops() {\n\t\tshops.load();\n\t}","title":""}],"string":"[\n {\n \"docid\": \"95573f3c735ae9fb57216c0cec20af40\",\n \"score\": \"0.8387866\",\n \"text\": \"public void loadShops() {\\n\\t\\tshops.load();\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"9a50f32254083711a22088f1901e7f79","score":"0.730917","text":"public void reloadShops() {\n\t\tloadShops();\n\t}","title":""},{"docid":"539ddf4621e248737a7c1beb6d293f06","score":"0.6253738","text":"@GetMapping(\"/shops\")\r\n public List<Shop> list() {\r\n return service.listAll();\r\n }","title":""},{"docid":"c58f93ec83b5fbe056c76f6b86329032","score":"0.62180483","text":"public ListShelves() {\n\t\tthis.list = new HashMap<String, Shelf>();\n\t}","title":""},{"docid":"a1d24701155a6095f1d159fd19c48bae","score":"0.60952646","text":"private void loadSiteList() {\n siteList.removeAll();\n hdrTimeList.removeAll();\n setLoadBtnEnabled(false);\n if ((categoryList.getSelectionIndex() > 0)\n && (designatorList.getSelectionIndex() > 0)) {\n String nnn = categoryList.getItem(categoryList.getSelectionIndex());\n String xxx = designatorList\n .getItem(designatorList.getSelectionIndex());\n String awipsId = nnn + xxx;\n ICommand command = CommandFactory.getAwipsCommand(awipsId, null,\n null, \"000000\", null);\n executeCommand(command);\n }\n }","title":""},{"docid":"f09cf979533d3137837d9371faf75ead","score":"0.5904648","text":"private void populateSwadeshMenu() {\n final DictCore finalCore = core;\n mnuSwadesh.removeAll();\n\n for (String list : PGTUtil.SWADESH_LISTS) {\n String menuName = list.replace(\"_\", \" \");\n final String finalLocation = PGTUtil.SWADESH_LOCATION + list;\n\n JMenuItem nextList = new JMenuItem(\"Load \" + menuName);\n nextList.setToolTipText(\"Loads words from \" + menuName + \" into your lexicon.\");\n nextList.addActionListener((ActionEvent evt) -> {\n URL swadUrl = ScrMainMenu.class.getResource(finalLocation);\n try ( BufferedInputStream bs = new BufferedInputStream(swadUrl.openStream())) {\n finalCore.getWordCollection().loadSwadesh(bs, true);\n updateAllValues(finalCore);\n }\n catch (Exception ex) {\n new DesktopInfoBox(curWindow).error(\"Unable to load internal resource: \", finalLocation);\n DesktopIOHandler.getInstance().writeErrorLog(ex, \"Resource read error on open.\");\n }\n });\n\n mnuSwadesh.add(nextList);\n }\n\n JMenuItem customImport = new JMenuItem(\"Load Custom Swadesh\");\n customImport.setToolTipText(\"Loads words from custom Swadesh list into your lexicon.\");\n customImport.addActionListener((ActionEvent e) -> {\n JFileChooser chooser = new JFileChooser();\n chooser.setMultiSelectionEnabled(false);\n chooser.setDialogTitle(\"Select line delimited Swadesh list file.\");\n\n if (chooser.showOpenDialog(null) == JFileChooser.APPROVE_OPTION) {\n File file = chooser.getSelectedFile();\n try ( InputStream is = new FileInputStream(file); BufferedInputStream bs = new BufferedInputStream(is)) {\n finalCore.getWordCollection().loadSwadesh(bs, true);\n updateAllValues(finalCore);\n }\n catch (Exception ex) {\n new DesktopInfoBox(this).error(\"Swadesh Load Error\",\n \"Could not load selected Swadesh List. Please make certain it is formatted correctly (newline separated)\");\n DesktopIOHandler.getInstance().writeErrorLog(ex, \"Swadesh load error\");\n }\n }\n });\n\n mnuSwadesh.add(customImport);\n }","title":""},{"docid":"9798066a3f9ed29706c6d175f8498faf","score":"0.57035124","text":"public static void loadData() {\r\n\t\tProduct product1 = createProduct(\"Prod1\",\"Shirt\",\"EACH\");\r\n\t\tproductList.add(product1);\r\n\t\t\r\n\t\tProduct product2 = createProduct(\"Prod2\",\"Trousers\",\"EACH\");\r\n\t\tproductList.add(product1);\r\n\t\t\r\n\t\tProduct product3 = createProduct(\"Prod3\",\"Tie\",\"EACH\");\r\n\t\tproductList.add(product1);\r\n\t}","title":""},{"docid":"525d773efd8a29bda417a768ff08d9f5","score":"0.56422555","text":"public void saveShops() {\n\t\tshops.save();\n\t}","title":""},{"docid":"c3b921e9e780e02c77f09377bdd7ca1d","score":"0.5543711","text":"private void initList() {\r\n \tObservableList<GalleryURL> items = this.listView.getItems();\r\n\r\n \tGalleryURL[] urls;\r\n \tif (new File(RSIDownloader.SOURCE_FILE).exists()) {\r\n \t\turls = this.dl.getURLsFromFile(RSIDownloader.SOURCE_FILE);\r\n\t\t} else {\r\n\t\t\turls = this.dl.getURLsFromWeb(RSIDownloader.SHIPURL + \"?action=raw\");\r\n\t\t}\r\n\r\n for (GalleryURL galleryURL : urls) {\r\n \titems.add(galleryURL);\r\n\t\t}\r\n this.ships = items;\r\n }","title":""},{"docid":"d4e8be47e138a83b6271508ce3399b0f","score":"0.55192333","text":"public Workshop()\r\n\t\t{\r\n\t\t\tshop = new ArrayList <Tool>();\r\n\t\t}","title":""},{"docid":"8a2c23e5da66dab945b6a0a2591b99f8","score":"0.5460886","text":"public List<Store> getStores () {\n SQLiteDatabase db = getReadableDatabase();\n Cursor cursor = db.rawQuery(\"SELECT * FROM STORE_LIST\", null);\n List<Store> stores = new ArrayList<>();\n String[] value={\"Shirts\"};\n if (cursor.moveToFirst()){\n while(!cursor.isAfterLast()){\n int id =cursor.getInt(cursor.getColumnIndex(COL_ID));\n String storeName = cursor.getString(cursor.getColumnIndex(COL_STORE_NAME));\n String stars = cursor.getString(cursor.getColumnIndex(COL_STARS));\n String reviews = cursor.getString(cursor.getColumnIndex(COL_NUM_OF_REVIEWS));\n String photosID = cursor.getString(cursor.getColumnIndex(COL_STORE_LOGO));\n\n stores.add(new Store(id, storeName, stars, reviews, photosID));\n cursor.moveToNext();\n }\n }\n cursor.close();\n return stores;\n }","title":""},{"docid":"947b6d724a3dac30b0cfca37ba4d6cc1","score":"0.5451164","text":"public void loadStallData(List<String[]> content) {\r\n\r\n\t\tCanteenDAO canteenDAO = new CanteenDAO();\r\n\t\tCanteen canteen = null;\r\n\t\tIterator<String[]> iter = content.iterator();\r\n\t\titer.next();\r\n\t\twhile (iter.hasNext()) {\r\n\t\t\tString[] row = (String[]) iter.next();\r\n\t\t\tString stallName = row[0].trim();\r\n\t\t\tString contactNum = row[1].trim();\r\n\t\t\tlong contactNumber = Long.parseLong(contactNum);\r\n\t\t\tString canteenName = row[2].trim();\r\n\t\t\tcanteen = canteenDAO.getCanteenByName(canteenName);\r\n\r\n\t\t\tStall newStall = new Stall(stallName, contactNumber, canteen, null, null, null);\r\n\t\t\t// stallList.add(newStall);\r\n\t\t\tcanteenDAO.addStallToCanteen(canteen, newStall);\r\n\t\t\tsaveStall(newStall);\r\n\t\t}\r\n\t}","title":""},{"docid":"426b12f230233d270685da12dfe0401a","score":"0.5445676","text":"public void loadShop(){\n Map<String,String> map = fileManager.loadToMap(\"Shop.properties\");\n\n shopTitle = map.get(\"shopTitle\");\n shopBgColor = fileManager.parseColor(map.get(\"shopBgColor\"));\n shopWidth = Integer.parseInt(map.get(\"shopWidth\"));\n shopHeight = Integer.parseInt(map.get(\"shopHeight\"));\n shopTitleY = Integer.parseInt(map.get(\"titleY\"));\n shopNotSelecColor = fileManager.parseColor(map.get(\"notSelectedColor\"));\n shopNotSelCondColor = fileManager.parseColor(map.get(\"notSelectedCondColor\"));\n shopSelCondColor = fileManager.parseColor(map.get(\"selectedCondColor\"));\n\n buyButtonString = map.get(\"buyButtonString\");\n okButtonY = Integer.parseInt(map.get(\"okButtonY\"));\n buyButtonY0 = Integer.parseInt(map.get(\"buyButtonY0\"));\n buyButtonY1 = Integer.parseInt(map.get(\"buyButtonY1\"));\n buyButtonY2 = Integer.parseInt(map.get(\"buyButtonY2\"));\n shopTitleString = map.get(\"shopTitleString\");\n shopLoginString = map.get(\"shopLoginString\");\n shopLevelString = map.get(\"shopLevelString\");\n shopLunarString = map.get(\"shopLunarString\");\n shopInfoY = Integer.parseInt(map.get(\"shopInfoY\"));\n levelCond1 = Integer.parseInt(map.get(\"levelCond1\"));\n levelCond2 = Integer.parseInt(map.get(\"levelCond2\"));\n levelCond3 = Integer.parseInt(map.get(\"levelCond3\"));\n lunarCond1 = Integer.parseInt(map.get(\"lunarCond1\"));\n lunarCond2 = Integer.parseInt(map.get(\"lunarCond2\"));\n lunarCond3 = Integer.parseInt(map.get(\"lunarCond3\"));\n bonusString1=map.get(\"bonusString1\");\n bonusString2 = map.get(\"bonusString2\");\n bonusString3 = map.get(\"bonusString3\");\n shopBonusStringX = Integer.parseInt(map.get(\"shopBonusStringX\"));\n shopBonusStringY = Integer.parseInt(map.get(\"shopBonusStringY\"));\n bonusInfo1 = map.get(\"bonusInfo1\");\n bonusInfo2 = map.get(\"bonusInfo2\");\n bonusInfo3 = map.get(\"bonusInfo3\");\n bonusInfoY = Integer.parseInt(map.get(\"bonusInfoY\"));\n okButtonX = Integer.parseInt(map.get(\"okButtonX\"));\n buyButtonX = Integer.parseInt(map.get(\"buyButtonX\"));\n\n }","title":""},{"docid":"6e8848d70e58ae50ef8d3931bcceb8b5","score":"0.54398644","text":"public void loadAll() {\n\t\t// Reload the config files\n\t\tif(this.configFile.exists()) {\n\t\t\ttry {\n\t\t\t\tgetConfig().load(this.configFile);\n\t\t\t} catch (FileNotFoundException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t} catch (IOException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t} catch (InvalidConfigurationException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t\tlog.info(\"[SimpleShowcase] Loaded config.yml file!\");\n\t\t} else {\n\t\t\tlog.info(\"[SimpleShowcase] Config.yml file not found, unable to reload!\");\n\t\t}\n\t\t\n\t\t\n\t\t// Load the shops and booths\n\t loadShops();\n\t loadBooths();\n\t \n\t // Load and apply the pricelist\n\t if(getPricelistManager() == null)\n\t \tsetupPricelistManager();\n\t else {\n\t \tgetPricelistManager().reloadList();\n\t\t\tgetPricelistManager().applyItemsToShops();\n\t }\n\t}","title":""},{"docid":"1a320a636eef3f7cbb271783fef5fc7d","score":"0.5434747","text":"List<StoreStrategy> getStores();","title":""},{"docid":"b45bb4cf779e8ecb8c16e766c7534194","score":"0.5427394","text":"public void setShopsid(Integer shopsid) {\n this.shopsid = shopsid;\n }","title":""},{"docid":"de0dde4d8b228467f37bf73acb1abcf2","score":"0.5373217","text":"@Override\r\n\t\tpublic List<MaToolset> loadDataList() {\n\t\t\tif (currentEntity.getId() == null) {\r\n\t\t\t\treturn new ArrayList<MaToolset>();\r\n\t\t\t}\r\n\t\t\treturn maToolsetFacade.findByMaToolsetTypeId(currentEntity); \r\n\t\t}","title":""},{"docid":"2940a72b21abc21d78b10b9a10bae853","score":"0.5345734","text":"private void getFavoriteShops(){\n recyclerViewFavoriteshop.setHasFixedSize(true);\n RecyclerView.LayoutManager layoutManager=new LinearLayoutManager(this);\n recyclerViewFavoriteshop.setLayoutManager(layoutManager);\n recyclerViewFavoriteshop.setItemAnimator(new DefaultItemAnimator());\n myFavoriteshopAdapter=new ShopAdapter(this,myFavoriteitemList,\"shopList\", catId, subCatId, subCatName);\n myFavoriteshopAdapter.setShopListType(shopListType);\n recyclerViewFavoriteshop.setAdapter(myFavoriteshopAdapter);\n\n Map<String,String> params=new HashMap<>();\n params.put(\"dbName\", sharedPreferences.getString(Constants.DB_NAME, \"\"));\n String url=getResources().getString(R.string.url_customer)+\"/api/customers/shop/favourite_shops\";\n showProgress(true);\n jsonObjectApiRequest(Request.Method.POST,url,new JSONObject(params),\"FavoriteShops\");\n }","title":""},{"docid":"381c2ddd4e0cf1f8b076dbb73349bf9e","score":"0.5332251","text":"private void loadLists() {\n loadSavedCourses();\n loadSavedSchedules();\n \n savedCourseList = courseList.getCourseList();\n activeScheduleList = scheduleList.getScheduleList();\n }","title":""},{"docid":"105850075ae080d143656d7d60ea6a13","score":"0.53129107","text":"public void LoadShip(List<Container> listContainer) {\n containerList.clear();\n containerList.addAll(listContainer);\n }","title":""},{"docid":"e65dd3b5dd878bdd6a39538cc57edf29","score":"0.5298728","text":"public Hashtable<String, Object> loadLists() throws LogicException;","title":""},{"docid":"f1e52f74d53bd58ccb8494add4ae0e7e","score":"0.52917796","text":"public abstract List<O> loadRuns(List<Integer> runIdList);","title":""},{"docid":"a755bf1fb7e8d806f1061c64cd584cdd","score":"0.52905095","text":"private void regenList() {\n\n\t\t\tfinal Preferences[] nodes = client.getConfigs();\n\t\t\tFileSet[] files;\n\t\t\tfiles = new FileSet[nodes.length];\n\t\t\tfor (int i = 0; i < nodes.length; i++) {\n\t\t\t\tfiles[i] = new FileSet(nodes[i]);\n\t\t\t}\n\t\t\tlist.setListData(files);\n\t\t}","title":""},{"docid":"14d3aaa6204d7accfb191868a99eba4f","score":"0.52731526","text":"private static List<Station> loadStations()\n\t{\n\t\tList<Station> stations = new ArrayList<Station>();\n\t\t\n\t\tfor (Feature f: feature_collection.features())\n\t\t{\n\t\t\tString id = f.getProperty(\"id\").getAsString();\n\t\t\tdouble coins = f.getProperty(\"coins\").getAsDouble();\n\t\t\tDouble power = f.getProperty(\"power\").getAsDouble();\n\t\t\tString symbol = f.getProperty(\"marker-symbol\").getAsString();\n\t\t\tString color = f.getProperty(\"marker-color\").getAsString();\n\t\t\tdouble lon = ((Point) f.geometry()).coordinates().get(0);\n\t\t\tdouble lat = ((Point) f.geometry()).coordinates().get(1);\n\t\t\t\n\t\t\tStation s = new Station(id, coins, power, symbol, color, lon, lat);\n\t\t\tstations.add(s);\n\t\t}\n\t\t\n\t\treturn stations;\n\t}","title":""},{"docid":"ef3828c6ef310ea6b9107d9c4d0d0868","score":"0.52634555","text":"public List<Shop> getAllShops(long partnerID){\n List<Shop> res = new LinkedList<>();\n List<String> shopIds = getElementFromDB(\"Shop_location\", \"_id\", \"id_partner = \\\"\"+partnerID+\"\\\"\");\n for (String shopID : shopIds) {\n res.add(this.getShop(Long.parseLong(shopID)));\n }\n return res;\n }","title":""},{"docid":"75bef55390b8827589fefcc0656ce760","score":"0.5261451","text":"private void setFoodAdapter(List<FoodOrderVo.InfoBean.StoreBean> shoplist) {\n }","title":""},{"docid":"0ee358066be6cdfa9cf1e8f2266559d7","score":"0.52563924","text":"private void populateStore() {\n\t\tProduct[] prods = {\n\t\t\t\tnew Product (\"Professional C# 4 and .NET 4\", 354),\n new Product (\"Beginning ASP.NET E-Commerce in C#\", 260),\n new Product (\"Objektorienterad analys och design\", 418),\n new Product (\"Improving Software Organizations\", 486),\n new Product (\"Operating System Concepts\", 514),\n new Product (\"Compilers: Principles, techniques and Tools\", 1265),\n new Product (\"Pro Git\", 221),\n new Product (\"Design Patterns\", 315)\n\t\t};\n\t\tthis.store = new ArrayList<>(Arrays.asList(prods));\n\t}","title":""},{"docid":"21ca5a3102c91c85585e8b0051561386","score":"0.5236504","text":"public void loadKits(){\r\n \t\t\t ArrayList<ItemStack> temp;\r\n \t\t\t for(String key : plugin.getConfig().getConfigurationSection(\"ArcherGames.kits\").getKeys(false)){\r\n \t\t\t\t temp = new ArrayList<ItemStack>();\r\n \t\t\t\t String s = plugin.getConfig().getString(\"ArcherGames.kits.\" + key);\r\n \t\t\t\t for(String str : s.split(\",\")){\r\n\t\t\t\t\t\ttry{\r\n\t\t\t\t\t\tItemStack itemStack = new ItemStack( Material.getMaterial(Integer.parseInt( str.split(\":\")[0] )), Integer.parseInt(str.split(\":\")[1]));\r\n\t\t\t\t\t\titemStack.addEnchantment(Enchantment.getById(Integer.parseInt(str.split(\":\")[2])), Integer.parseInt(str.split(\":\")[3]));\r\n\t\t\t\t\t\ttemp.add( itemStack );\r\n\t\t\t\t\t\t} catch (NumberFormatException e) {\r\n\t\t\t\t\t\t\tplugin.log.log(Level.SEVERE, \"Warning: ArcherGames Kit {0} is not configured correctly!\", key);\r\n\t\t\t\t\t\t}\r\n \t\t\t\t }\r\n \t\t\t\t plugin.kits.put(key, temp);\r\n \t\t\t }\r\n \t\t}","title":""},{"docid":"8a36fde480f1ccbb991af3084d7682a2","score":"0.52335334","text":"public Integer getShopsid() {\n return shopsid;\n }","title":""},{"docid":"fbf293f3d60b03edafd3da972a4faeda","score":"0.5223202","text":"Map<String, String> loadQSProducts(String siteId, String typeOFWork);","title":""},{"docid":"f13c3e31a674e1d886360fb661326041","score":"0.5210772","text":"public void setShopMode( List l) {\r\n\t\t//setOpaque(false);\r\n\t\tsplashScreenMode=false;\r\n\t\tshopMode=true;\r\n\t\tImageIcon ic=UW.createImageIcon(\"../images/shop.gif\", null);\r\n\t\timg=ic.getImage();\r\n\t\t//buttons.addAll(l);\r\n\t\tfor(Iterator i=l.iterator();i.hasNext();) {\r\n\t\t\tObject o=i.next();\r\n\t\t\tJButton b=(JButton)o;\r\n\t\t\tshopButtons.add(b);\r\n\t\t\t}\r\n\t\tadd(shopButtons,new Rectangle(2,2,11,11));\r\n\t\trepaint();\r\n\t\tvalidate();\r\n\t\t}","title":""},{"docid":"4700124c4c34060876405a2bba3c7086","score":"0.5209616","text":"private List<IServiceModel> loadStations(PropertiesConfiguration streamConfig) throws ConfigurationException {\n List<IServiceModel> stationInfoList = new ArrayList<IServiceModel>();\n\n Iterator<String> keys = streamConfig.getKeys();\n while (keys.hasNext()) {\n String key = keys.next();\n if (!key.contains(\".url\")) {\n continue;\n }\n\n String id = key.substring(0, key.indexOf(\".\"));\n String url = streamConfig.getString(key);\n StationInfo info = new StationInfo(Integer.parseInt(id));\n info.setUrl(url);\n String nameKey = id + \".name\";\n if (streamConfig.containsKey(nameKey)) {\n info.setName(streamConfig.getString(nameKey));\n }\n else {\n info.setName(url);\n }\n\n stationInfoList.add(info);\n }\n return stationInfoList;\n }","title":""},{"docid":"84f3a5bec726881b8f9a3274f58fb5da","score":"0.5185643","text":"public void loadList()\n {\n Collection<ServiceReference<ProtocolProviderService>> serRefs\n = ServiceUtils.getServiceReferences(\n GuiActivator.bundleContext,\n ProtocolProviderService.class);\n\n if ((serRefs != null) && !serRefs.isEmpty())\n {\n for (ServiceReference<ProtocolProviderService> serRef : serRefs)\n {\n ProtocolProviderService protocolProvider\n = GuiActivator.bundleContext.getService(serRef);\n Object adHocMultiUserChatOpSet\n = protocolProvider.getOperationSet(\n OperationSetAdHocMultiUserChat.class);\n\n if (adHocMultiUserChatOpSet != null)\n addChatProvider(protocolProvider);\n }\n }\n }","title":""},{"docid":"6881fe2bbc2f437de7caa280c23ee666","score":"0.51732296","text":"public interface ShopService {\n @GET(\"/shops.json\")\n Call<List<Shop>> loadShops();\n\n @GET(\"/shops/{id}.json\")\n Call<Shop> loadShop(@Path(\"id\") int id);\n}","title":""},{"docid":"4ebe03d8095b74eb642b03cb92a6887a","score":"0.51723754","text":"void loadSkiResorts(List<SkiResort> skiResorts);","title":""},{"docid":"642e6da38850b39a14f1fcd7462db027","score":"0.5170982","text":"public ArrayList<UsedShop> selectList(Connection conn) {\r\n\t\tArrayList<UsedShop> list = null;\r\n\t\treturn list;\r\n\t}","title":""},{"docid":"8cfb82ede6d847c9d6ec480ffc354d74","score":"0.5137551","text":"public List getAllShoppingLists();","title":""},{"docid":"c4a238e2ea36b476df47466d56ac7e61","score":"0.5130578","text":"public void fetchFromDatabaseIntoItemList(StockManager myManager, ObservableList<Item> myList)\n\t{\n\t\tmyList.clear();\n\t\tArrayList<String> data = new ArrayList<>();\n\t\tdata = myManager.returnData();\n\t\tif(genMngr.shop_mode == GeneralManager.ELECSHOP)\n\t\t{\n\t\t\tfor(int i=0; i<data.size(); i++)\n\t\t\t{\n\t\t\t\tList<String> list = new ArrayList<String>(Arrays.asList(data.get(i).split(\"-\")));\n\t\t\t\tmyList.add(new ElecItem(list.get(0),Integer.parseInt(list.get(1)),Double.parseDouble(list.get(2)),list.get(3),list.get(4),Integer.parseInt(list.get(5)),Integer.parseInt(\"0\")));\n\t\t\t\tSystem.out.println(data.get(i));\n\t\t\t}\n\t\t}\n\t\telse if(genMngr.shop_mode == GeneralManager.BOOKSHOP)\n\t\t{\n\t\t\tfor(int i=0; i<data.size(); i++)\n\t\t\t{\n\t\t\t\tList<String> list = new ArrayList<String>(Arrays.asList(data.get(i).split(\"-\")));\n\t\t\t\tmyList.add(new BookItem(list.get(0),Integer.parseInt(list.get(1)),Double.parseDouble(list.get(2)),list.get(3),Integer.parseInt(list.get(4)),list.get(5),list.get(6), Integer.parseInt(\"0\")));\n\t\t\t\tSystem.out.println(data.get(i));\n\t\t\t}\n\t\t}\n\t\telse if(genMngr.shop_mode == GeneralManager.CLOTHSHOP)\n\t\t{\n\t\t\tfor(int i=0; i<data.size(); i++)\n\t\t\t{\n\t\t\t\tList<String> list = new ArrayList<String>(Arrays.asList(data.get(i).split(\"-\")));\n\t\t\t\tmyList.add(new ClothItem(list.get(0),Integer.parseInt(list.get(1)),Double.parseDouble(list.get(2)),list.get(3),list.get(4),list.get(5),list.get(6), Integer.parseInt(\"0\")));\n\t\t\t\tSystem.out.println(data.get(i));\n\t\t\t}\n\t\t}\n\t\t//else if\n\t\t//System.out.println(data);\n\t\t//allItemsAvailable.add(e);\n\t}","title":""},{"docid":"43e280bc363a1ad796706a5905b24e47","score":"0.51244795","text":"List<StoreProduct> getProducts();","title":""},{"docid":"73cad96f86919dc2532ddf31c52295ed","score":"0.5115421","text":"List<Title> loadTitles();","title":""},{"docid":"ae6e4295c6578604817d0b59d7c3c417","score":"0.511449","text":"public ArrayList<Game> loadGames ()\n throws PersistenceException\n {\n return loadGamesBy(\"\", \"\");\n }","title":""},{"docid":"cb645fae877c8c0b6f240e9c9955198e","score":"0.5078439","text":"public void loadData() {\n\n Gson gson = new Gson(); // initialize Gson for Json\n\n // initialize SharedPreferences\n android.content.SharedPreferences sharedPreferences = context.getSharedPreferences(SHARE_PREFERENCES, 0);\n String json = sharedPreferences.getString(MOOD_LIST, null);\n\n Type type = new TypeToken<ArrayList<HistoryItem>>() {\n }.getType(); // add data to the list of Json\n\n historyList = gson.fromJson(json, type); // load data\n\n if (historyList == null) {\n historyList = new ArrayList<>();\n }\n\n }","title":""},{"docid":"23ad2cccbeecc8fe18175865cf7af159","score":"0.50628006","text":"private void getStores(){\n\n String placesUrl = FIND_PLACE_URL + userLocation + FIND_PLACE_URL_END;\n\n Log.i(TAG, \"placesURL: \" + placesUrl);\n\n client.get(placesUrl, new JsonHttpResponseHandler(){\n @Override\n public void onSuccess(int statusCode, Headers headers, JSON json) {\n Log.i(TAG, \"onSuccess! \" + json.toString());\n\n // onSuccess retrieved a json object, which enables us to create a JsonArray to iterate through\n JSONObject jsonObject = json.jsonObject;\n try {\n adapter.clear();\n adapter.addAll(Store.fromJsonArray(jsonObject.getJSONArray(\"results\")));\n } catch (JSONException e) {\n Log.e(TAG, \"Json exception\", e);\n e.printStackTrace();\n }\n }\n\n @Override\n public void onFailure(int statusCode, Headers headers, String response, Throwable throwable) {\n Log.i(TAG, \"onFailure! \" + response, throwable);\n }\n });\n }","title":""},{"docid":"e1bc05c4219c926686c8fbbf09a784de","score":"0.5056135","text":"public ArrayList<Product> loadProducts(){\n ServiceProduct pdb = new ServiceProduct();\n ArrayList<Product> products = new ArrayList<Product>();\n Product product = null;\n products = pdb.getProducts();\n \n if(products.isEmpty()){\n System.out.println(\"Error al cargar als cetgorias, estan vacia. ProductsAction::getProduct\");\n return null;\n }\n else\n return products;\n }","title":""},{"docid":"5fcbef5bd92c8b338e989e536d289e78","score":"0.5043616","text":"@Override\n public void setShopList(ArrayList<String> names) {\n if (isViewRunning()){\n getView().setShopNames(names);\n }\n }","title":""},{"docid":"ccabb65920092bbd7fceb5a8b64e5130","score":"0.50406265","text":"@GetMapping(\"/list\")\n public List<ShoppingList> getAll() {\n return shoppingListsRepository.findAll();\n }","title":""},{"docid":"34ef9dfe66bb70b25d9928e1d323ff47","score":"0.504031","text":"List<T> load();","title":""},{"docid":"ebd421a4450024028f12baad09f660b7","score":"0.50394076","text":"@RequestMapping(value = \"/user-preferred-shops\", method = RequestMethod.GET)\n public Collection<Shop> getUserPreferredShops() {\n // Retrieve connected user from database\n User user = this.userUtility.getAuthenticatedUser();\n // Create preferred shops collection\n Collection<Shop> shops = user.getPreferredShops();\n // Return user preferred shops\n return shops;\n }","title":""},{"docid":"00ee424dfdcc57212384d441d25de0a3","score":"0.50390154","text":"public List<Sauce> createLists() {\n PizzaMenu menuInstance = Menu.pizza;\n return menuInstance.getDefinedSauces();\n }","title":""},{"docid":"3cdc16ac7d93583a21ef9784bcd0e2d2","score":"0.50367504","text":"public void load() {\n\t\tSystem.out.println(\"Statring Loading.\");\n\t\ttry {\n\t\t\tlist.load(list.getFileName());\n\t\t\tSystem.out.println(\"Loading Success.\");\n\t\t} catch (FileNotFoundException e) {\n\t\t\tSystem.out.println(\"Loading Failed: file \" + list.getFileName()\n\t\t\t\t\t+ \" not found.\");\n\t\t} catch (IllegalArgumentException e) {\n\t\t\tSystem.out.println(\"Loading Failed: \" + e);\n\t\t} catch (RuntimeException e) {\n\t\t\tSystem.out.println(\"Loading Failed: Unexpected error, \" + e);\n\t\t}\n\t}","title":""},{"docid":"0cc3aacf2cc8dd735b9116806d0b882a","score":"0.5026786","text":"public Shop(List<Server> list) { \n this.listOfServers = list; \n this.rng = null; \n }","title":""},{"docid":"0c437dd6b36073a17d567ac81a6a8124","score":"0.5018466","text":"public void LoadItems(){\n\t \n\t\ttry {\n\t\t\t BufferedReader reader = new BufferedReader(new FileReader(\"ItemList.txt\"));\n\t\t String line = reader.readLine();\n\t\t while (line != null) {\n\t\t \t itemList.add(line);\n\t\t line = reader.readLine();\n\t\t }\n\t\t reader.close();\n\t\t}\n\t\tcatch(Exception e) {\n\t\t\tSystem.out.println(e);\n\t\t}\n\t}","title":""},{"docid":"3e567e42794f9522da317892a1605470","score":"0.5013563","text":"Shops selectByPrimaryKey(Integer id);","title":""},{"docid":"9b530008db0f5a19c4a388abdd5dd16a","score":"0.50070983","text":"@PostConstruct\r\n\tpublic void getFetch(){\r\n\t\tgocCfList = dbService.getList(new GocCashFlow());\r\n\t\tselectedGocCfList = gocCfList;\r\n\t\tSystem.out.println(\"Fetch Goc CashFlow \");\r\n\t}","title":""},{"docid":"2a6784286df7e4959409b89722ae0397","score":"0.50056976","text":"public void loadListProducts() {\n\t\ttry {\n\t\t\tconvocatory.setTypeConvocatory((TypeConvocatory) UtilWeb.loadObject(typeConvocatories, convocatory.getTypeConvocatory()));\n\t\t\tproducts = new ArrayList<>();\n\t\t\tconvocatoryProducts = new ArrayList<>();\n\t\t\tconvocatoryProduct = new ConvocatoryProduct();\n\t\t\tif (convocatory.getTypeConvocatory().getName().equals(TypeConvocatoryEnum.Medicamentos.name())) {\n\t\t\t\tList<Medicine> lst = iMedicineService.findAllEntity();\n\t\t\t\tlst.forEach(i -> products.add(new Product(i.getName(), i.getId(), i)));\n\t\t\t} else if (convocatory.getTypeConvocatory().getName().equals(TypeConvocatoryEnum.Almacen.name())) {\n\t\t\t\tList<ProductWarehouse> lst2 = iProductWarehouseService.findAllEntity();\n\t\t\t\tlst2.forEach(i -> products.add(new Product(i.getName(), i.getId(), i)));\n\t\t\t}\n\t\t} catch (Exception e) {\n\t\t\tUtilWeb.printError(LOG, e);\n\t\t}\n\t}","title":""},{"docid":"58b3fa75d3e2828fcc7d5af37ffcd196","score":"0.4990465","text":"public static void Load(Context context)\n {\n String s=FileSupporter.LoadStrinFromFile(path,context);\n ObjectMapper mapper = new ObjectMapper();\n\n CollectionType t=mapper.getTypeFactory()\n .constructCollectionType(List.class, HeroAB.class);\n try {\n habList=mapper.readValue(s,t);\n } catch (IOException e) {\n e.printStackTrace();\n }\n\n\n }","title":""},{"docid":"d7cfbef16ee94261d7c28d134fa48fac","score":"0.49874377","text":"List<Bean> loadAll();","title":""},{"docid":"e40de52e320e8308746018db6d3ff3d7","score":"0.49839225","text":"private void loadItemList() {\n try {\n listModel = jsonReader.read();\n modelName.clear();\n for (int i = 0; i < listModel.countListItems(); i++) {\n modelName.addElement(listModel.returnListItem(i).getName());\n }\n System.out.println(\"Loaded \" + listModel.getName() + \" from \" + JSON_STORE + \"\\n\");\n } catch (IOException e) {\n System.out.println(\"Unable to read from file: \" + JSON_STORE);\n }\n }","title":""},{"docid":"6b823a7a9f6f0ae50fd49daa6b2521cd","score":"0.49783424","text":"public Result cityShops(){\n \n int cityId=0;\n String cityIdRaw;\n String cityString=\"\";\n Cities city;\n List <models.Shop> shopList=new ArrayList<models.Shop>();\n List <Cities> cityList;\n \n cityIdRaw=request().getQueryString(\"city\");\n if (cityIdRaw!=null)\n\t {\n\t \tcityId=Integer.parseInt(cityIdRaw);\n\t if (cityId>0)\n\t {\n\t \tshopList = models.Shop.find.where().eq(\"cityid\",cityId).findList();\n\t \t\n\t \tcity=Cities.find.where().eq(\"id\",cityId).findUnique();\n\t \tcityString=\" in \"+city.city+\", \"+city.state;\n\t }\n }\n \n cityList = Cities.find.all(); \n \n return ok(city_shops.render(cityList,cityId,shopList,cityString)); \n }","title":""},{"docid":"00e086a27209fe7747860ed644e8d80d","score":"0.497574","text":"public SSShopManager getShopManager() {\n\t\treturn this.shops;\n\t}","title":""},{"docid":"6a1fcffded74e1cf5e1dd380a2d96046","score":"0.49716854","text":"public void savelistinit() {\n\t\t\r\n\t\tStaticStore.indexCtr = 0;\r\n\t\tStaticStore.enableHome = true;\r\n\t\tStaticStore.listIndexArray = new int[10];\r\n\t\tStaticStore.selectedIndexArray = new int[10];\r\n\t\tStaticStore.listContent = new String[10][10];\r\n\t\tStaticStore.listHeading = new String[10];\r\n\t\tStaticStore.listMore = new boolean[10];\t\t \r\n\t\tStaticStore.listImageArray = new boolean[10];\t\t \r\n\t\tStaticStore.midlet.isProcessing = false;\r\n\t\tStaticStore.FromListScreen = false;\r\n\t}","title":""},{"docid":"c860ea92d09917e729853b067c3b3829","score":"0.49671823","text":"public ShopExecution getShopList(Shop shopCondition, int pageIndex, int pageSize);","title":""},{"docid":"2954a702e7057f6acdf7203bd5119673","score":"0.49644917","text":"private void fetchProducts() {\n fruits.addAll(dataInstance.getProducts(ProductCategory.CITRUS_FRUIT));\n fruits.addAll(dataInstance.getProducts(ProductCategory.BERRY));\n fruits.addAll(dataInstance.getProducts(ProductCategory.EXOTIC_FRUIT));\n fruits.addAll(dataInstance.getProducts(ProductCategory.FRUIT));\n fruits.addAll(dataInstance.getProducts(ProductCategory.MELONS));\n fruits.addAll(dataInstance.getProducts(ProductCategory.POD));\n\n //Adding all vegetable products to the vegetable-list\n vegetables.addAll(dataInstance.getProducts(ProductCategory.ROOT_VEGETABLE));\n vegetables.addAll(dataInstance.getProducts(ProductCategory.CABBAGE));\n vegetables.addAll(dataInstance.getProducts(ProductCategory.VEGETABLE_FRUIT));\n\n //Adding all herb products to the herb-list\n herbs.addAll(dataInstance.getProducts(ProductCategory.HERB));\n\n // Add meats\n meat.addAll(dataInstance.getProducts(ProductCategory.MEAT));\n fish.addAll(dataInstance.getProducts(ProductCategory.FISH));\n\n // Add dairy\n dairy.addAll(dataInstance.getProducts(ProductCategory.DAIRIES));\n\n // Add pantry\n bread.addAll(dataInstance.getProducts(ProductCategory.BREAD));\n flourSugarSalt.addAll(dataInstance.getProducts(ProductCategory.FLOUR_SUGAR_SALT));\n nuts.addAll(dataInstance.getProducts(ProductCategory.NUTS_AND_SEEDS));\n pasta.addAll(dataInstance.getProducts(ProductCategory.PASTA));\n potatoRice.addAll(dataInstance.getProducts(ProductCategory.POTATO_RICE));\n\n // Add drinks\n coldDrinks.addAll(dataInstance.getProducts(ProductCategory.COLD_DRINKS));\n hotDrinks.addAll(dataInstance.getProducts(ProductCategory.HOT_DRINKS));\n\n // Add sweets\n sweets.addAll(dataInstance.getProducts(ProductCategory.SWEET));\n }","title":""},{"docid":"02e5ebd89e037b931d63c1bf4c5f290f","score":"0.4959674","text":"List<Site> getList(String key);","title":""},{"docid":"d7e0d82b8fe06f00a56edc544c920259","score":"0.49548855","text":"@RequestMapping(value = \"/getProducts\", method = RequestMethod.GET)\n List<ProductInfo> getProductList(@RequestParam(\"shopinfoid\") Integer shopinfoid){\n return productInfoService.getProducts(shopinfoid);\n }","title":""},{"docid":"a0bc207bb9f46fd03715325979bfe267","score":"0.49535918","text":"public void loadList(ChecklistGroupBean checklistGroupBean) {\n\n // Remove any service checklist items that are not in the selected Checklist Group. \n ListIterator<ServiceChecklistItemBean> it = serviceChecklistItemList.listIterator();\n boolean found;\n while (it.hasNext()) {\n ServiceChecklistItemBean serviceItem = it.next();\n // Check if this is a custom checklist item. If so, skip it.\n if (!StringUtility.isEmpty(serviceItem.getItemCode())) {\n found = false;\n if (checklistGroupBean != null) {\n for (ChecklistItemBean item : checklistGroupBean.getChecklistItemList()) {\n if (serviceItem.getItemCode().equalsIgnoreCase(item.getCode())) {\n // Service Checklist item is also an item in the Checklist Group. \n // Do not delete this item from the list. \n found = true;\n break;\n }\n }\n }\n if (!found) {\n // Use safeRemove to delete items from the list that have not yet\n // been saved to the database. \n serviceChecklistItemList.safeRemove(serviceItem, EntityAction.DELETE);\n }\n }\n }\n\n if (checklistGroupBean != null && checklistGroupBean.getChecklistItemList().size() > 0) {\n // Add any checklist items in the Checklist Group that are not in the list \n // of Serivce Checklist items. \n for (ChecklistItemBean item : checklistGroupBean.getChecklistItemList()) {\n found = false;\n for (ServiceChecklistItemBean serviceItem : serviceChecklistItemList) {\n if (!StringUtility.isEmpty(serviceItem.getItemCode())\n && serviceItem.getItemCode().equalsIgnoreCase(item.getCode())) {\n found = true;\n break;\n }\n }\n\n if (!found) {\n // Add the new ServiceChecklistItem. \n ServiceChecklistItemBean bean = new ServiceChecklistItemBean();\n bean.setItemCode(item.getCode());\n bean.setServiceId(serviceId);\n bean.setItemDisplayValue(item.getDisplayValue());\n bean.setItemDescription(item.getDescription());\n bean.setItemDisplayOrder(item.getDisplayOrder());\n bean.setComplies(false);\n serviceChecklistItemList.addAsNew(bean);\n }\n }\n }\n }","title":""},{"docid":"89778f6e7478563c0cca8fd088efba05","score":"0.49531847","text":"public Hashtable<String, Object> loadSearchList() throws LogicException;","title":""},{"docid":"b495efb069cb9d7aa96f55a5a87e867d","score":"0.4950041","text":"@Override\n\tpublic List<PosStoreBar> listPosStoreBar() {\n\t\tPosStoreBar posStoreBar = new PosStoreBar();\n\t\tposStoreBar.setHotelGroupId(UserManager.getHotelGroupId());\n\t\tposStoreBar.setHotelId(UserManager.getHotelId());\n\t\treturn posStoreBarService.listPosStoreBar(posStoreBar);\n\t}","title":""},{"docid":"fbcc2bd4ca626070a1ff4dc91e85da4d","score":"0.4949765","text":"public ArrayList<Tool> getShop()\r\n\t\t{\r\n\t\t\treturn shop;\r\n\t\t}","title":""},{"docid":"c97eb10ec0b86c9b5f570f4c4390be97","score":"0.4945948","text":"public void loadInventory() {\n OpVal chaves[] = new OpVal[1];\n chaves[0] = new OpVal(\"codUser\",codUser);\n RDLista objetosInventario = new RDLista(\"CoopInventario\",chaves);\n while(!objetosInventario.end()) {\n //obtem o proximo item\n CoopInventario invItem = (CoopInventario) objetosInventario.next();\n //cria um objeto e adiciona ao inventario\n CoopObjeto obj = new CoopObjeto(invItem.codObjeto);\n addItemInventory(obj,false);\n }\n }","title":""},{"docid":"d95c85cddf3b9a2b6bda2c622bb667a2","score":"0.49233925","text":"@FXML\n\tpublic void shoppingListList(MouseEvent event) {\n\t\tloadContent(\"ShoppingListList\");\n\t}","title":""},{"docid":"197005ea63f2eb1538e8136e01661f66","score":"0.49164644","text":"public String loadSongs() {\n\t\tList<SongTO> songs = new ArrayList<SongTO>();\n\t\ttry {\n\t\t\tsongs = new ArtistService().loadSongList(this.albumName, this.artistId);\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\tGson gson = new Gson();\n\t\tthis.songList = gson.toJson(songs);\n\t\treturn SUCCESS;\n\t}","title":""},{"docid":"11ef87b91ff07f92cce9278ab3de3a8a","score":"0.49128443","text":"void loadOrders();","title":""},{"docid":"00fc8dcfce41600595a8cfd1736c4f65","score":"0.49113175","text":"private void loadCart() {\n bookList = new ArrayList<Book>();\n bookQuantityList = new HashMap<Book, Integer>();\n for (Book book : sc.getCartItems().keySet()) {\n bookList.add(book);\n }\n bookQuantityList = sc.getCartItems();\n this.itemCount = sc.getItemCount();\n this.receipt = sc.getReceipt();\n }","title":""},{"docid":"004b2cb299175a18466f266a2f7209a4","score":"0.49080983","text":"@Override\n public void loaded(List<String> items) {\n }","title":""},{"docid":"ebb031a83a352c92ae679f154eec4305","score":"0.49073717","text":"public Shop() {\r\n listOfParts = new MyArrayList<Part>();\r\n listOfOrders = new MyArrayList<Order>();\r\n }","title":""},{"docid":"26ca6372ce1da44937b4858b684e97be","score":"0.49059653","text":"private void loadManagers(){\n jsonH.makeJsonArryReq(Const.URL_JSON_ARRAY_ALL_USERS);\n }","title":""},{"docid":"2fb8feed8e5f50780904ff72b41795fe","score":"0.48978367","text":"@Override\n\tpublic Hashtable<String, Object> loadLists(String fuelCardId)\n\t\t\tthrows LogicException {\n\n\t\tHashtable<String, Object> data = new Hashtable<String, Object>();\n\t\tCollection<String> cardCodeClient = new ArrayList<String>();\n\t\tcardCodeClient.add(fuelCardId);\n\t\tList<Airplane> airplanes = null;\n\n\t\ttry {\n\t\t\t/*\n\t\t\t * Se invoca al metodo de persistencia que realizan la busqueda de\n\t\t\t * los airplanes a ser mostrados en el combo de aeronaves al agregar\n\t\t\t * un nuevo FuelCard\n\t\t\t */\n\t\t\tairplanes = airplaneDao.findAllByUser(cardCodeClient);\n\t\t\tdata.put(\"airplanes\", airplanes);\n\n\t\t} catch (PersistenceException e) {\n\t\t\tlogger.error(\n\t\t\t\t\t\"Ocurrio un error al intentar obtener las listas de los combos de busqueda de Airplanes\",\n\t\t\t\t\te);\n\t\t\tthrow new LogicException(e.getMessage(), e);\n\t\t}\n\t\treturn data;\n\t}","title":""},{"docid":"6e365dc46f21368c2dbe0ccbe2c805ef","score":"0.48867163","text":"@Override\n\tpublic Hashtable<String, Object> loadSearchList() throws LogicException {\n\t\tHashtable<String, Object> data = new Hashtable<String, Object>();\n\n\t\ttry {\n\t\t\tList<BusinessPartner> clients = businessPartnerDao.findByType(Constants.CUSTOMER);\n\t\t\tdata.put(\"clients\", clients);\n\t\t} catch (PersistenceException e) {\n\t\t\tlogger.error(\n\t\t\t\t\t\"Ocurrio un error al intentar obtener la lista del combo de la vista ingresar o modificar un usuario del modulo de FuelCard \",\n\t\t\t\t\te);\n\t\t\tthrow new LogicException(e.getMessage(), e);\n\t\t}\n\t\treturn data;\n\t}","title":""},{"docid":"b828547124a232b7aad3dd211cdb3e20","score":"0.48814866","text":"public void setCropsNamesInList(){\n currentCrops = new HashMap<>();\n listModel = new DefaultListModel();\n \n try{\n currentCrops = controller.getCropsNames();\n myCrops_list.setModel(listModel);\n \n for(int i=0; i<currentCrops.size(); i++){\n listModel.addElement(currentCrops.values().toArray()[i]);\n }\n this.revalidate();\n this.repaint();\n }\n catch(MyException ex){\n ex.showException(this);\n }\n }","title":""},{"docid":"f2956cf608a3c566b556b4d56053a729","score":"0.48797992","text":"public static ArrayList<String> getShopList() {\r\n\t\tArrayList<String> shopList = new ArrayList<>();\r\n\t\ttry {\r\n\t\t\tCallableStatement proc = Main.conn.prepareCall(\"{call dbo.getShopList(?)}\");\r\n\t\t\tproc.setString(1, MerchantID);\r\n\t\t\tResultSet rs = proc.executeQuery();\r\n\t\t\twhile (rs.next()) {\r\n\t\t\t\tshopList.add(rs.getString(1));\r\n\t\t\t}\r\n\t\t} catch (SQLException exception) {\r\n\t\t\texception.printStackTrace();\r\n\t\t}\r\n\r\n\t\treturn shopList;\r\n\t}","title":""},{"docid":"dcdb9d7f740135afeb67a2534ecc195c","score":"0.48797917","text":"@Override\n\tpublic Hashtable<String, Object> loadLists() throws LogicException {\n\t\t\treturn null;\n\t}","title":""},{"docid":"923a85f7c28a8aa0089b3e9d2974359d","score":"0.48671103","text":"private void ListarServicos() {\n try {\n //String com o usuario do banco de dados\n String usuario = \"root\";\n //String com o caminho do banco de daods\n String url = \"jdbc:mysql://localhost:3306/sgps\";\n //String com a senha do banco de daods\n String senha = \"\";\n Connection conexao = DriverManager.getConnection(url, usuario, senha);\n\n //Query que traz os dados do banco de dados\n String sql = \"SELECT * FROM servicos\";\n\n //Prepara para executar um comando\n PreparedStatement pst = conexao.prepareStatement(sql);\n\n //Armazena o resultado da consulta\n ResultSet rs = pst.executeQuery();\n\n //Enquanto existirem dados executa o laco de repeticao\n while (rs.next()) {\n cmbxServico.addItem(String.valueOf(rs.getInt(\"idServicos\")) + \"-\" + rs.getString(\"NomeDoServico\"));\n }\n\n } catch (SQLException e) {\n //Rastreia o erro\n e.printStackTrace();\n }\n\n }","title":""},{"docid":"310b0f72a5ad07a8ff5c2574b21a5d94","score":"0.48567113","text":"public void getStore() {\n\t\t try {\n\t\t\tconnection.getConnections();\n\t\t\tconnection.stmt = connection.con.createStatement();\n\t\t\tResultSet rs = connection.stmt.executeQuery(\"select * from store\"); \n\t\t\twhile(rs.next()) {\n\t\t\t\taddStore.add(new StoreObject(rs.getString(1),rs.getString(2),rs.getString(3),rs.getString(4),rs.getString(5),rs.getString(6),rs.getString(7),rs.getString(8),rs.getString(9)));\t\t\n\t\t\t}\n\t\t\tconnection.con.close();\n\n\t\t} catch (SQLException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\t \n\t }","title":""},{"docid":"967051de631ac2b02bd86c838ebf013f","score":"0.48532256","text":"List<StoreVO> getStoreList() throws SQLException;","title":""},{"docid":"61f30b1f212b7ae16dbc3ea4013baf22","score":"0.48502216","text":"public void populateList()\n {\n schedulelist = retrieveSchedule();\n sortListDate();\n }","title":""},{"docid":"188eb49ada7cfde9affeb6ee8115c1c7","score":"0.48480323","text":"private void loadData() {\n parts = FileUtils.retrieveParts();\n buyingService.setPurchaseHistory(FileUtils.retrievePurchaseHistory());\n sellingService.setSellHistory(FileUtils.retrieveSalesHistory());\n storeBalance = FileUtils.retrieveStoreBalance();\n System.out.println(\"Loading data...\");\n }","title":""},{"docid":"1672bf0e44b689b8be9907832d60a940","score":"0.48471847","text":"public void loadData() {\n this.list = DatabaseHandler.getProductList();\n this.tableView.setItems(this.list);\n }","title":""},{"docid":"680639ebde8ba0eccba3eb6bfd4f4ea5","score":"0.48393095","text":"void loadGridCategory(ArrayList<DataCategory> listOfCategory);","title":""},{"docid":"584ec1c1fa46de7863af921d1eea638b","score":"0.48351857","text":"public void openShop(){\r\n\t\t\tAdventureManager.currentRoom.t.stop();\r\n\r\n\t\t\tshopPanel.setVisible(true);\r\n\t\t\titems = AdventureManager.currentNPC.shop;\r\n\t\t\tupdateInfo();\r\n\r\n\t\t}","title":""},{"docid":"c07224171a07158502d7bae7aa5caafc","score":"0.48316637","text":"public ArrayList<Store> getAllStores() {\n\t\tif (stores != null)\n\n\t\t\treturn stores;\n\n\t\tstores = new ArrayList<>();\n\t\tif (Files.exists(storesPath)) \n\t\t\t\t\t\t\t\t\t\t// FileNotFoundExeption\n\t\t{\n\t\t\ttry (BufferedReader in = new BufferedReader(new FileReader(storesFile))) {\n\t\t\t\t// read all the different stores stored in the array list\n\t\t\t\tString line = in.readLine();\n\t\t\t\twhile (line != null) {\n\t\t\t\t\tString[] columns = line.split(FIELD_SEP);\n\t\t\t\t\tString id = columns[0];\n\t\t\t\t\tString divisionNbr= columns[1];\n\t\t\t\t\tString storeNbr = columns[2];\n\t\t\t\t\tString sales = columns[3];\n\t\t\t\t\tString name = columns[4];\n\t\t\t\t\tString address = columns[5];\n\t\t\t\t\tString city = columns[6];\n\t\t\t\t\tString state = columns[7];\n\t\t\t\t\tString zip = columns[8];\n\n\t\t\t\t\tStore s = new Store(Integer.parseInt(id), divisionNbr, storeNbr, Double.parseDouble(sales), name,\n\t\t\t\t\t\t\taddress, city, state, zip);\n\t\t\t\t\tstores.add(s);\n\t\t\t\t\tline = in.readLine();\n\t\t\t\t}\n\t\t\t} catch (IOException e) {\n\t\t\t\tSystem.out.println(e);\n\t\t\t\treturn null;\n\n\t\t\t}\n\t\t\t\n\n\t\t}\n\t\treturn stores;\n\n\t}","title":""},{"docid":"0c61ac8cb2c7c0e0d450fff1798c732a","score":"0.48285398","text":"void loadSheltersByAddress(boolean showLoadingUi);","title":""},{"docid":"ed40368dd2686bf30d1ebc7f5b06105d","score":"0.4827726","text":"public int dbLoadSiteList()\n {\n Secretary.startFxn(\"SiteAdmin.dbLoadSiteList()\");\n int numLocs = 0;\n sites = new LinkedHashMap();\n String query = \"SELECT pdt.DEPTID, pdt.DESCR, pdt.DESCRSHORT, pdt.LOCATION, \"\n + \"pst.REGION, pst.DISTRICT FROM PS_SH_TERRITORY pst \"\n + \"right join PS_DEPT_TBL pdt \"\n + \"ON \"\n + \"pst.DEPTID = pdt.DEPTID \"\n + \"WHERE \"\n + \"pdt.COMPANY = 'SMC' \"\n + \"AND \"\n + \"pdt.EFF_STATUS = 'A'\";\n Secretary.write(query);\n try{\n Class.forName(dbDriver);\n conn = DriverManager.getConnection(dbServer, dbLogin, dbPassword);\n Statement stmt = conn.createStatement();\n ResultSet rs = stmt.executeQuery(query);\n while(rs.next())\n {\n Site aSite = null;\n Integer tempID;\n int deptID = 0;\n int regionNum = 0;\n try{\n tempID = new Integer(rs.getString(\"DEPTID\").trim());\n deptID = tempID.intValue();\n }catch(NumberFormatException e)\n {}\n regionNum = rs.getInt(\"REGION\");\n aSite = new Site();\n aSite.setRegion(regionNum);\n aSite.setDistrict(rs.getInt(\"DISTRICT\"));\n aSite.setIdNumber(deptID);\n aSite.setName((rs.getString(\"DESCR\")).trim());\n sites.put(new Integer(aSite.getIdNumber()), aSite);\n numLocs++;\n //System.out.println(\"num sites = \" + sites.size());\n }\n }catch (ClassNotFoundException e) {\n System.out.println(\"Error creating connection: \" + e);\n }catch(SQLException e){\n System.out.println(\"SQLException in SiteAdmin.dbLoadSiteList() -> \" + e);\n }finally{\n try{\n conn.close();\n }catch(Exception e)\n {\n System.out.println(\"Can't close connection\");\n }\n Secretary.endFxn(\"SiteAdmin.dbLoadSiteList()\");\n }\n return numLocs;\n }","title":""},{"docid":"35045679dd3a2b8a830977f4a280a425","score":"0.4823744","text":"public void loadConfig() {\n for (MenuItem menuItem : getMenuItems()) {\n items.put(menuItem.getId(), menuItem);\n }\n //insert group into hashmap\n for (MenuGroup menuGroup : getMenuGroups()) {\n //get information of item to display in web\n List<MenuItem> items = menuGroup.getMenuItems();\n for (MenuItem item : items) {\n if (!item.isSkipParseValue()) {\n MenuItem fullItem = this.items.get(item.getId());\n if (fullItem == null) {\n continue;\n }\n //get enough data of item here\n item.setName(fullItem.getName());\n item.setUrl(fullItem.getUrl());\n }\n }\n groups.put(menuGroup.getId(), menuGroup);\n }\n }","title":""},{"docid":"61af5130d12aff08f67ec99ee58361d6","score":"0.48202938","text":"public void listProduct() {\n\t\tShop shop = findShop();\n\n\t\tif (shop == null)\n\t\t\treturn;\n\n\t\tStringBuilder sb = new StringBuilder();\n\t\tint counter = 1;\n\n for (ShopItemStack itm : shop.getProduct()) {\n sb.append(String.format(\"&b[&f%d&b] &2- &f%s\\n\", counter, itm.getItemStack().hasItemMeta() && itm.getItemStack().getItemMeta().hasDisplayName() ? itm.getItemStack().getItemMeta().getDisplayName() : itm.getItemStack().getType().toString()));\n\t\t\tcounter++;\n\t\t}\n\n\t\tsendMessage(Message.SHOP_ITEM_LIST.getPrefixed().replaceAll(\"%type%\", \"products\").replaceAll(\"%list%\", sb.toString()));\n\t}","title":""},{"docid":"01192866bd17b2cbea95b6c89289cb70","score":"0.48157322","text":"private void initData() {\n\t\tgetAutoCompleteData(null);\n\t\tList<String> shList = new ArrayList<String>();\n\t\tFileSavaLoad mFileSavaLoad = new FileSavaLoad(getActivity(), FILENAME);\n\t\ttry {\n\t\t\tshList = mFileSavaLoad.load();\n\t\t} catch (Exception e) {\n\t\t\tshList = new ArrayList<String>();\n\t\t\tLog.d(TAG, \"Error loading\");\n\t\t}\n\t\tif(shList.isEmpty()){\n\t\t\t//rl_clearrelativeLayout.setVisibility(View.GONE);\n\t\t} else if (shadapter == null){\n\t\t\tshadapter = new SearchHistoryAdapter(getActivity(),shList);\n\t\t\tlvsearchHistory.setAdapter(shadapter);\n\t\t\t} else {\n\t\t\t\tshadapter.notifyDataSetChanged();\n\t\t\t}\n\t\t\t\t\n\t}","title":""},{"docid":"7b04efd9138880784d3cda69eb0d95d1","score":"0.4813431","text":"public Hashtable<String, Object> loadLists(String objectId) throws LogicException;","title":""},{"docid":"86f782b9b6749201759199cbc9c4f8e0","score":"0.4812636","text":"public List<Shop> getFavoriteShops(long userId){\n List<Shop> ret = new LinkedList<>();\n List<Long> res = getFavoriteShopsIDs(userId);\n for (long id : res) {\n ret.add(getShop(id));\n }\n return ret;\n }","title":""},{"docid":"dd29e589240f842e2e58eb2fe6f79fff","score":"0.48068637","text":"public void loadData() {\n SharedPreferences sharedPreferences = getSharedPreferences(SHARED_PRE, MODE_PRIVATE);\n Gson gson = new Gson();\n TypeToken type = new TypeToken<ArrayList<Plant>>() {};\n String json = sharedPreferences.getString(MY_PLANT_LIST, null);\n Log.d(\"saveData\", json);\n ArrayList<Plant> userPlantList = gson.fromJson(json, type.getType());\n\n if(userPlantList != null || !userPlantList.isEmpty()) {\n MyPlantList.getInstance().addAllPlant(userPlantList);\n }\n }","title":""},{"docid":"82585ec0152e911752be638521f9827e","score":"0.478862","text":"@Override\r\n public List<ModelShop> getAdminShoppingList() {\n String sql = Query.GETADMINSHOPPINGLIST;\r\n Connection conn = null;\r\n //PreparedStatement pre = null;\r\n CallableStatement cs=null;\r\n ResultSet rs = null;\r\n List<ModelShop> list = new ArrayList<ModelShop>();\r\n try {\r\n conn = DbConnect.dbConnect();\r\n cs=conn.prepareCall(sql);\r\n cs.registerOutParameter(1, OracleTypes.CURSOR);\r\n cs.execute();\r\n // pre = conn.prepareStatement(sql);\r\n// rs = pre.executeQuery();\r\n rs= (ResultSet) cs.getObject(1);\r\n while (rs.next()) {\r\n// ResultSetMetaData rsmd = rs.getMetaData();\r\n// rsmd.\r\n// System.out.println(\"id - \" +rs.getLong(\"ID\"));\r\n ModelShop model = new ModelShop();\r\n model.setPrimaryId(rs.getLong(\"ID\"));\r\n model.setName(rs.getString(\"NAME\"));\r\n model.setSurname(rs.getString(\"SURNAME\"));\r\n model.setEmail(rs.getString(\"EMAIL\"));\r\n model.setLogginDate(rs.getDate(\"LOGIN_DATE\"));\r\n model.setTasks(rs.getString(\"TASK\"));\r\n model.setActive(rs.getInt(\"ACTIVE\"));\r\n list.add(model);\r\n\r\n }\r\n } catch (Exception e) {\r\n System.out.println(\" getAdminShoppingList \");\r\n e.printStackTrace();\r\n } finally {\r\n try {\r\n conn.commit();\r\n } catch (Exception e) {\r\n e.printStackTrace();\r\n }\r\n DbClose.dbClose(conn, null, rs);\r\n try {\r\n cs.close();\r\n } catch (SQLException e) {\r\n e.printStackTrace();\r\n }\r\n\r\n\r\n }\r\n return list;\r\n }","title":""},{"docid":"8ae1ff8263814ebe48e1fb3626e84be4","score":"0.47878873","text":"@Test\n\tpublic void contextLoads() {\n Map<String, String> hostAll = fuctionService.getHostAll();\n// ZabbixLastItem item = new ZabbixLastItem();\n// item.setHostId(\"10279\");\n// List<ZabbixLastItem> latestItemData = fuctionService.getLatestItemData(item, new ArrayList<>());\n// System.out.println(\"---->\"+latestItemData);\n// List<ZabbixItem> items = fuctionService.getItems(param);\n //ZabbixItem zabbixItem = new ZabbixItem();\n //List< ZabbixItem> itemData = fuctionService.getItemData(zabbixItem,0 ,1000);\n// // System.out.println(\"---->\"+items);\n System.out.println(\"---->\"+hostAll);\n }","title":""}],"string":"[\n {\n \"docid\": \"9a50f32254083711a22088f1901e7f79\",\n \"score\": \"0.730917\",\n \"text\": \"public void reloadShops() {\\n\\t\\tloadShops();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"539ddf4621e248737a7c1beb6d293f06\",\n \"score\": \"0.6253738\",\n \"text\": \"@GetMapping(\\\"/shops\\\")\\r\\n public List<Shop> list() {\\r\\n return service.listAll();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c58f93ec83b5fbe056c76f6b86329032\",\n \"score\": \"0.62180483\",\n \"text\": \"public ListShelves() {\\n\\t\\tthis.list = new HashMap<String, Shelf>();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a1d24701155a6095f1d159fd19c48bae\",\n \"score\": \"0.60952646\",\n \"text\": \"private void loadSiteList() {\\n siteList.removeAll();\\n hdrTimeList.removeAll();\\n setLoadBtnEnabled(false);\\n if ((categoryList.getSelectionIndex() > 0)\\n && (designatorList.getSelectionIndex() > 0)) {\\n String nnn = categoryList.getItem(categoryList.getSelectionIndex());\\n String xxx = designatorList\\n .getItem(designatorList.getSelectionIndex());\\n String awipsId = nnn + xxx;\\n ICommand command = CommandFactory.getAwipsCommand(awipsId, null,\\n null, \\\"000000\\\", null);\\n executeCommand(command);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f09cf979533d3137837d9371faf75ead\",\n \"score\": \"0.5904648\",\n \"text\": \"private void populateSwadeshMenu() {\\n final DictCore finalCore = core;\\n mnuSwadesh.removeAll();\\n\\n for (String list : PGTUtil.SWADESH_LISTS) {\\n String menuName = list.replace(\\\"_\\\", \\\" \\\");\\n final String finalLocation = PGTUtil.SWADESH_LOCATION + list;\\n\\n JMenuItem nextList = new JMenuItem(\\\"Load \\\" + menuName);\\n nextList.setToolTipText(\\\"Loads words from \\\" + menuName + \\\" into your lexicon.\\\");\\n nextList.addActionListener((ActionEvent evt) -> {\\n URL swadUrl = ScrMainMenu.class.getResource(finalLocation);\\n try ( BufferedInputStream bs = new BufferedInputStream(swadUrl.openStream())) {\\n finalCore.getWordCollection().loadSwadesh(bs, true);\\n updateAllValues(finalCore);\\n }\\n catch (Exception ex) {\\n new DesktopInfoBox(curWindow).error(\\\"Unable to load internal resource: \\\", finalLocation);\\n DesktopIOHandler.getInstance().writeErrorLog(ex, \\\"Resource read error on open.\\\");\\n }\\n });\\n\\n mnuSwadesh.add(nextList);\\n }\\n\\n JMenuItem customImport = new JMenuItem(\\\"Load Custom Swadesh\\\");\\n customImport.setToolTipText(\\\"Loads words from custom Swadesh list into your lexicon.\\\");\\n customImport.addActionListener((ActionEvent e) -> {\\n JFileChooser chooser = new JFileChooser();\\n chooser.setMultiSelectionEnabled(false);\\n chooser.setDialogTitle(\\\"Select line delimited Swadesh list file.\\\");\\n\\n if (chooser.showOpenDialog(null) == JFileChooser.APPROVE_OPTION) {\\n File file = chooser.getSelectedFile();\\n try ( InputStream is = new FileInputStream(file); BufferedInputStream bs = new BufferedInputStream(is)) {\\n finalCore.getWordCollection().loadSwadesh(bs, true);\\n updateAllValues(finalCore);\\n }\\n catch (Exception ex) {\\n new DesktopInfoBox(this).error(\\\"Swadesh Load Error\\\",\\n \\\"Could not load selected Swadesh List. Please make certain it is formatted correctly (newline separated)\\\");\\n DesktopIOHandler.getInstance().writeErrorLog(ex, \\\"Swadesh load error\\\");\\n }\\n }\\n });\\n\\n mnuSwadesh.add(customImport);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9798066a3f9ed29706c6d175f8498faf\",\n \"score\": \"0.57035124\",\n \"text\": \"public static void loadData() {\\r\\n\\t\\tProduct product1 = createProduct(\\\"Prod1\\\",\\\"Shirt\\\",\\\"EACH\\\");\\r\\n\\t\\tproductList.add(product1);\\r\\n\\t\\t\\r\\n\\t\\tProduct product2 = createProduct(\\\"Prod2\\\",\\\"Trousers\\\",\\\"EACH\\\");\\r\\n\\t\\tproductList.add(product1);\\r\\n\\t\\t\\r\\n\\t\\tProduct product3 = createProduct(\\\"Prod3\\\",\\\"Tie\\\",\\\"EACH\\\");\\r\\n\\t\\tproductList.add(product1);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"525d773efd8a29bda417a768ff08d9f5\",\n \"score\": \"0.56422555\",\n \"text\": \"public void saveShops() {\\n\\t\\tshops.save();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c3b921e9e780e02c77f09377bdd7ca1d\",\n \"score\": \"0.5543711\",\n \"text\": \"private void initList() {\\r\\n \\tObservableList<GalleryURL> items = this.listView.getItems();\\r\\n\\r\\n \\tGalleryURL[] urls;\\r\\n \\tif (new File(RSIDownloader.SOURCE_FILE).exists()) {\\r\\n \\t\\turls = this.dl.getURLsFromFile(RSIDownloader.SOURCE_FILE);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\turls = this.dl.getURLsFromWeb(RSIDownloader.SHIPURL + \\\"?action=raw\\\");\\r\\n\\t\\t}\\r\\n\\r\\n for (GalleryURL galleryURL : urls) {\\r\\n \\titems.add(galleryURL);\\r\\n\\t\\t}\\r\\n this.ships = items;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d4e8be47e138a83b6271508ce3399b0f\",\n \"score\": \"0.55192333\",\n \"text\": \"public Workshop()\\r\\n\\t\\t{\\r\\n\\t\\t\\tshop = new ArrayList <Tool>();\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a2c23e5da66dab945b6a0a2591b99f8\",\n \"score\": \"0.5460886\",\n \"text\": \"public List<Store> getStores () {\\n SQLiteDatabase db = getReadableDatabase();\\n Cursor cursor = db.rawQuery(\\\"SELECT * FROM STORE_LIST\\\", null);\\n List<Store> stores = new ArrayList<>();\\n String[] value={\\\"Shirts\\\"};\\n if (cursor.moveToFirst()){\\n while(!cursor.isAfterLast()){\\n int id =cursor.getInt(cursor.getColumnIndex(COL_ID));\\n String storeName = cursor.getString(cursor.getColumnIndex(COL_STORE_NAME));\\n String stars = cursor.getString(cursor.getColumnIndex(COL_STARS));\\n String reviews = cursor.getString(cursor.getColumnIndex(COL_NUM_OF_REVIEWS));\\n String photosID = cursor.getString(cursor.getColumnIndex(COL_STORE_LOGO));\\n\\n stores.add(new Store(id, storeName, stars, reviews, photosID));\\n cursor.moveToNext();\\n }\\n }\\n cursor.close();\\n return stores;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"947b6d724a3dac30b0cfca37ba4d6cc1\",\n \"score\": \"0.5451164\",\n \"text\": \"public void loadStallData(List<String[]> content) {\\r\\n\\r\\n\\t\\tCanteenDAO canteenDAO = new CanteenDAO();\\r\\n\\t\\tCanteen canteen = null;\\r\\n\\t\\tIterator<String[]> iter = content.iterator();\\r\\n\\t\\titer.next();\\r\\n\\t\\twhile (iter.hasNext()) {\\r\\n\\t\\t\\tString[] row = (String[]) iter.next();\\r\\n\\t\\t\\tString stallName = row[0].trim();\\r\\n\\t\\t\\tString contactNum = row[1].trim();\\r\\n\\t\\t\\tlong contactNumber = Long.parseLong(contactNum);\\r\\n\\t\\t\\tString canteenName = row[2].trim();\\r\\n\\t\\t\\tcanteen = canteenDAO.getCanteenByName(canteenName);\\r\\n\\r\\n\\t\\t\\tStall newStall = new Stall(stallName, contactNumber, canteen, null, null, null);\\r\\n\\t\\t\\t// stallList.add(newStall);\\r\\n\\t\\t\\tcanteenDAO.addStallToCanteen(canteen, newStall);\\r\\n\\t\\t\\tsaveStall(newStall);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"426b12f230233d270685da12dfe0401a\",\n \"score\": \"0.5445676\",\n \"text\": \"public void loadShop(){\\n Map<String,String> map = fileManager.loadToMap(\\\"Shop.properties\\\");\\n\\n shopTitle = map.get(\\\"shopTitle\\\");\\n shopBgColor = fileManager.parseColor(map.get(\\\"shopBgColor\\\"));\\n shopWidth = Integer.parseInt(map.get(\\\"shopWidth\\\"));\\n shopHeight = Integer.parseInt(map.get(\\\"shopHeight\\\"));\\n shopTitleY = Integer.parseInt(map.get(\\\"titleY\\\"));\\n shopNotSelecColor = fileManager.parseColor(map.get(\\\"notSelectedColor\\\"));\\n shopNotSelCondColor = fileManager.parseColor(map.get(\\\"notSelectedCondColor\\\"));\\n shopSelCondColor = fileManager.parseColor(map.get(\\\"selectedCondColor\\\"));\\n\\n buyButtonString = map.get(\\\"buyButtonString\\\");\\n okButtonY = Integer.parseInt(map.get(\\\"okButtonY\\\"));\\n buyButtonY0 = Integer.parseInt(map.get(\\\"buyButtonY0\\\"));\\n buyButtonY1 = Integer.parseInt(map.get(\\\"buyButtonY1\\\"));\\n buyButtonY2 = Integer.parseInt(map.get(\\\"buyButtonY2\\\"));\\n shopTitleString = map.get(\\\"shopTitleString\\\");\\n shopLoginString = map.get(\\\"shopLoginString\\\");\\n shopLevelString = map.get(\\\"shopLevelString\\\");\\n shopLunarString = map.get(\\\"shopLunarString\\\");\\n shopInfoY = Integer.parseInt(map.get(\\\"shopInfoY\\\"));\\n levelCond1 = Integer.parseInt(map.get(\\\"levelCond1\\\"));\\n levelCond2 = Integer.parseInt(map.get(\\\"levelCond2\\\"));\\n levelCond3 = Integer.parseInt(map.get(\\\"levelCond3\\\"));\\n lunarCond1 = Integer.parseInt(map.get(\\\"lunarCond1\\\"));\\n lunarCond2 = Integer.parseInt(map.get(\\\"lunarCond2\\\"));\\n lunarCond3 = Integer.parseInt(map.get(\\\"lunarCond3\\\"));\\n bonusString1=map.get(\\\"bonusString1\\\");\\n bonusString2 = map.get(\\\"bonusString2\\\");\\n bonusString3 = map.get(\\\"bonusString3\\\");\\n shopBonusStringX = Integer.parseInt(map.get(\\\"shopBonusStringX\\\"));\\n shopBonusStringY = Integer.parseInt(map.get(\\\"shopBonusStringY\\\"));\\n bonusInfo1 = map.get(\\\"bonusInfo1\\\");\\n bonusInfo2 = map.get(\\\"bonusInfo2\\\");\\n bonusInfo3 = map.get(\\\"bonusInfo3\\\");\\n bonusInfoY = Integer.parseInt(map.get(\\\"bonusInfoY\\\"));\\n okButtonX = Integer.parseInt(map.get(\\\"okButtonX\\\"));\\n buyButtonX = Integer.parseInt(map.get(\\\"buyButtonX\\\"));\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e8848d70e58ae50ef8d3931bcceb8b5\",\n \"score\": \"0.54398644\",\n \"text\": \"public void loadAll() {\\n\\t\\t// Reload the config files\\n\\t\\tif(this.configFile.exists()) {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tgetConfig().load(this.configFile);\\n\\t\\t\\t} catch (FileNotFoundException e) {\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t} catch (IOException e) {\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t} catch (InvalidConfigurationException e) {\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t}\\n\\t\\t\\tlog.info(\\\"[SimpleShowcase] Loaded config.yml file!\\\");\\n\\t\\t} else {\\n\\t\\t\\tlog.info(\\\"[SimpleShowcase] Config.yml file not found, unable to reload!\\\");\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t\\t// Load the shops and booths\\n\\t loadShops();\\n\\t loadBooths();\\n\\t \\n\\t // Load and apply the pricelist\\n\\t if(getPricelistManager() == null)\\n\\t \\tsetupPricelistManager();\\n\\t else {\\n\\t \\tgetPricelistManager().reloadList();\\n\\t\\t\\tgetPricelistManager().applyItemsToShops();\\n\\t }\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1a320a636eef3f7cbb271783fef5fc7d\",\n \"score\": \"0.5434747\",\n \"text\": \"List<StoreStrategy> getStores();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b45bb4cf779e8ecb8c16e766c7534194\",\n \"score\": \"0.5427394\",\n \"text\": \"public void setShopsid(Integer shopsid) {\\n this.shopsid = shopsid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de0dde4d8b228467f37bf73acb1abcf2\",\n \"score\": \"0.5373217\",\n \"text\": \"@Override\\r\\n\\t\\tpublic List<MaToolset> loadDataList() {\\n\\t\\t\\tif (currentEntity.getId() == null) {\\r\\n\\t\\t\\t\\treturn new ArrayList<MaToolset>();\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\treturn maToolsetFacade.findByMaToolsetTypeId(currentEntity); \\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2940a72b21abc21d78b10b9a10bae853\",\n \"score\": \"0.5345734\",\n \"text\": \"private void getFavoriteShops(){\\n recyclerViewFavoriteshop.setHasFixedSize(true);\\n RecyclerView.LayoutManager layoutManager=new LinearLayoutManager(this);\\n recyclerViewFavoriteshop.setLayoutManager(layoutManager);\\n recyclerViewFavoriteshop.setItemAnimator(new DefaultItemAnimator());\\n myFavoriteshopAdapter=new ShopAdapter(this,myFavoriteitemList,\\\"shopList\\\", catId, subCatId, subCatName);\\n myFavoriteshopAdapter.setShopListType(shopListType);\\n recyclerViewFavoriteshop.setAdapter(myFavoriteshopAdapter);\\n\\n Map<String,String> params=new HashMap<>();\\n params.put(\\\"dbName\\\", sharedPreferences.getString(Constants.DB_NAME, \\\"\\\"));\\n String url=getResources().getString(R.string.url_customer)+\\\"/api/customers/shop/favourite_shops\\\";\\n showProgress(true);\\n jsonObjectApiRequest(Request.Method.POST,url,new JSONObject(params),\\\"FavoriteShops\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"381c2ddd4e0cf1f8b076dbb73349bf9e\",\n \"score\": \"0.5332251\",\n \"text\": \"private void loadLists() {\\n loadSavedCourses();\\n loadSavedSchedules();\\n \\n savedCourseList = courseList.getCourseList();\\n activeScheduleList = scheduleList.getScheduleList();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"105850075ae080d143656d7d60ea6a13\",\n \"score\": \"0.53129107\",\n \"text\": \"public void LoadShip(List<Container> listContainer) {\\n containerList.clear();\\n containerList.addAll(listContainer);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e65dd3b5dd878bdd6a39538cc57edf29\",\n \"score\": \"0.5298728\",\n \"text\": \"public Hashtable<String, Object> loadLists() throws LogicException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1e52f74d53bd58ccb8494add4ae0e7e\",\n \"score\": \"0.52917796\",\n \"text\": \"public abstract List<O> loadRuns(List<Integer> runIdList);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a755bf1fb7e8d806f1061c64cd584cdd\",\n \"score\": \"0.52905095\",\n \"text\": \"private void regenList() {\\n\\n\\t\\t\\tfinal Preferences[] nodes = client.getConfigs();\\n\\t\\t\\tFileSet[] files;\\n\\t\\t\\tfiles = new FileSet[nodes.length];\\n\\t\\t\\tfor (int i = 0; i < nodes.length; i++) {\\n\\t\\t\\t\\tfiles[i] = new FileSet(nodes[i]);\\n\\t\\t\\t}\\n\\t\\t\\tlist.setListData(files);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14d3aaa6204d7accfb191868a99eba4f\",\n \"score\": \"0.52731526\",\n \"text\": \"private static List<Station> loadStations()\\n\\t{\\n\\t\\tList<Station> stations = new ArrayList<Station>();\\n\\t\\t\\n\\t\\tfor (Feature f: feature_collection.features())\\n\\t\\t{\\n\\t\\t\\tString id = f.getProperty(\\\"id\\\").getAsString();\\n\\t\\t\\tdouble coins = f.getProperty(\\\"coins\\\").getAsDouble();\\n\\t\\t\\tDouble power = f.getProperty(\\\"power\\\").getAsDouble();\\n\\t\\t\\tString symbol = f.getProperty(\\\"marker-symbol\\\").getAsString();\\n\\t\\t\\tString color = f.getProperty(\\\"marker-color\\\").getAsString();\\n\\t\\t\\tdouble lon = ((Point) f.geometry()).coordinates().get(0);\\n\\t\\t\\tdouble lat = ((Point) f.geometry()).coordinates().get(1);\\n\\t\\t\\t\\n\\t\\t\\tStation s = new Station(id, coins, power, symbol, color, lon, lat);\\n\\t\\t\\tstations.add(s);\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn stations;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef3828c6ef310ea6b9107d9c4d0d0868\",\n \"score\": \"0.52634555\",\n \"text\": \"public List<Shop> getAllShops(long partnerID){\\n List<Shop> res = new LinkedList<>();\\n List<String> shopIds = getElementFromDB(\\\"Shop_location\\\", \\\"_id\\\", \\\"id_partner = \\\\\\\"\\\"+partnerID+\\\"\\\\\\\"\\\");\\n for (String shopID : shopIds) {\\n res.add(this.getShop(Long.parseLong(shopID)));\\n }\\n return res;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"75bef55390b8827589fefcc0656ce760\",\n \"score\": \"0.5261451\",\n \"text\": \"private void setFoodAdapter(List<FoodOrderVo.InfoBean.StoreBean> shoplist) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0ee358066be6cdfa9cf1e8f2266559d7\",\n \"score\": \"0.52563924\",\n \"text\": \"private void populateStore() {\\n\\t\\tProduct[] prods = {\\n\\t\\t\\t\\tnew Product (\\\"Professional C# 4 and .NET 4\\\", 354),\\n new Product (\\\"Beginning ASP.NET E-Commerce in C#\\\", 260),\\n new Product (\\\"Objektorienterad analys och design\\\", 418),\\n new Product (\\\"Improving Software Organizations\\\", 486),\\n new Product (\\\"Operating System Concepts\\\", 514),\\n new Product (\\\"Compilers: Principles, techniques and Tools\\\", 1265),\\n new Product (\\\"Pro Git\\\", 221),\\n new Product (\\\"Design Patterns\\\", 315)\\n\\t\\t};\\n\\t\\tthis.store = new ArrayList<>(Arrays.asList(prods));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"21ca5a3102c91c85585e8b0051561386\",\n \"score\": \"0.5236504\",\n \"text\": \"public void loadKits(){\\r\\n \\t\\t\\t ArrayList<ItemStack> temp;\\r\\n \\t\\t\\t for(String key : plugin.getConfig().getConfigurationSection(\\\"ArcherGames.kits\\\").getKeys(false)){\\r\\n \\t\\t\\t\\t temp = new ArrayList<ItemStack>();\\r\\n \\t\\t\\t\\t String s = plugin.getConfig().getString(\\\"ArcherGames.kits.\\\" + key);\\r\\n \\t\\t\\t\\t for(String str : s.split(\\\",\\\")){\\r\\n\\t\\t\\t\\t\\t\\ttry{\\r\\n\\t\\t\\t\\t\\t\\tItemStack itemStack = new ItemStack( Material.getMaterial(Integer.parseInt( str.split(\\\":\\\")[0] )), Integer.parseInt(str.split(\\\":\\\")[1]));\\r\\n\\t\\t\\t\\t\\t\\titemStack.addEnchantment(Enchantment.getById(Integer.parseInt(str.split(\\\":\\\")[2])), Integer.parseInt(str.split(\\\":\\\")[3]));\\r\\n\\t\\t\\t\\t\\t\\ttemp.add( itemStack );\\r\\n\\t\\t\\t\\t\\t\\t} catch (NumberFormatException e) {\\r\\n\\t\\t\\t\\t\\t\\t\\tplugin.log.log(Level.SEVERE, \\\"Warning: ArcherGames Kit {0} is not configured correctly!\\\", key);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n \\t\\t\\t\\t }\\r\\n \\t\\t\\t\\t plugin.kits.put(key, temp);\\r\\n \\t\\t\\t }\\r\\n \\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a36fde480f1ccbb991af3084d7682a2\",\n \"score\": \"0.52335334\",\n \"text\": \"public Integer getShopsid() {\\n return shopsid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbf293f3d60b03edafd3da972a4faeda\",\n \"score\": \"0.5223202\",\n \"text\": \"Map<String, String> loadQSProducts(String siteId, String typeOFWork);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f13c3e31a674e1d886360fb661326041\",\n \"score\": \"0.5210772\",\n \"text\": \"public void setShopMode( List l) {\\r\\n\\t\\t//setOpaque(false);\\r\\n\\t\\tsplashScreenMode=false;\\r\\n\\t\\tshopMode=true;\\r\\n\\t\\tImageIcon ic=UW.createImageIcon(\\\"../images/shop.gif\\\", null);\\r\\n\\t\\timg=ic.getImage();\\r\\n\\t\\t//buttons.addAll(l);\\r\\n\\t\\tfor(Iterator i=l.iterator();i.hasNext();) {\\r\\n\\t\\t\\tObject o=i.next();\\r\\n\\t\\t\\tJButton b=(JButton)o;\\r\\n\\t\\t\\tshopButtons.add(b);\\r\\n\\t\\t\\t}\\r\\n\\t\\tadd(shopButtons,new Rectangle(2,2,11,11));\\r\\n\\t\\trepaint();\\r\\n\\t\\tvalidate();\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4700124c4c34060876405a2bba3c7086\",\n \"score\": \"0.5209616\",\n \"text\": \"private List<IServiceModel> loadStations(PropertiesConfiguration streamConfig) throws ConfigurationException {\\n List<IServiceModel> stationInfoList = new ArrayList<IServiceModel>();\\n\\n Iterator<String> keys = streamConfig.getKeys();\\n while (keys.hasNext()) {\\n String key = keys.next();\\n if (!key.contains(\\\".url\\\")) {\\n continue;\\n }\\n\\n String id = key.substring(0, key.indexOf(\\\".\\\"));\\n String url = streamConfig.getString(key);\\n StationInfo info = new StationInfo(Integer.parseInt(id));\\n info.setUrl(url);\\n String nameKey = id + \\\".name\\\";\\n if (streamConfig.containsKey(nameKey)) {\\n info.setName(streamConfig.getString(nameKey));\\n }\\n else {\\n info.setName(url);\\n }\\n\\n stationInfoList.add(info);\\n }\\n return stationInfoList;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"84f3a5bec726881b8f9a3274f58fb5da\",\n \"score\": \"0.5185643\",\n \"text\": \"public void loadList()\\n {\\n Collection<ServiceReference<ProtocolProviderService>> serRefs\\n = ServiceUtils.getServiceReferences(\\n GuiActivator.bundleContext,\\n ProtocolProviderService.class);\\n\\n if ((serRefs != null) && !serRefs.isEmpty())\\n {\\n for (ServiceReference<ProtocolProviderService> serRef : serRefs)\\n {\\n ProtocolProviderService protocolProvider\\n = GuiActivator.bundleContext.getService(serRef);\\n Object adHocMultiUserChatOpSet\\n = protocolProvider.getOperationSet(\\n OperationSetAdHocMultiUserChat.class);\\n\\n if (adHocMultiUserChatOpSet != null)\\n addChatProvider(protocolProvider);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6881fe2bbc2f437de7caa280c23ee666\",\n \"score\": \"0.51732296\",\n \"text\": \"public interface ShopService {\\n @GET(\\\"/shops.json\\\")\\n Call<List<Shop>> loadShops();\\n\\n @GET(\\\"/shops/{id}.json\\\")\\n Call<Shop> loadShop(@Path(\\\"id\\\") int id);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ebe03d8095b74eb642b03cb92a6887a\",\n \"score\": \"0.51723754\",\n \"text\": \"void loadSkiResorts(List<SkiResort> skiResorts);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"642e6da38850b39a14f1fcd7462db027\",\n \"score\": \"0.5170982\",\n \"text\": \"public ArrayList<UsedShop> selectList(Connection conn) {\\r\\n\\t\\tArrayList<UsedShop> list = null;\\r\\n\\t\\treturn list;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8cfb82ede6d847c9d6ec480ffc354d74\",\n \"score\": \"0.5137551\",\n \"text\": \"public List getAllShoppingLists();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4a238e2ea36b476df47466d56ac7e61\",\n \"score\": \"0.5130578\",\n \"text\": \"public void fetchFromDatabaseIntoItemList(StockManager myManager, ObservableList<Item> myList)\\n\\t{\\n\\t\\tmyList.clear();\\n\\t\\tArrayList<String> data = new ArrayList<>();\\n\\t\\tdata = myManager.returnData();\\n\\t\\tif(genMngr.shop_mode == GeneralManager.ELECSHOP)\\n\\t\\t{\\n\\t\\t\\tfor(int i=0; i<data.size(); i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tList<String> list = new ArrayList<String>(Arrays.asList(data.get(i).split(\\\"-\\\")));\\n\\t\\t\\t\\tmyList.add(new ElecItem(list.get(0),Integer.parseInt(list.get(1)),Double.parseDouble(list.get(2)),list.get(3),list.get(4),Integer.parseInt(list.get(5)),Integer.parseInt(\\\"0\\\")));\\n\\t\\t\\t\\tSystem.out.println(data.get(i));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\telse if(genMngr.shop_mode == GeneralManager.BOOKSHOP)\\n\\t\\t{\\n\\t\\t\\tfor(int i=0; i<data.size(); i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tList<String> list = new ArrayList<String>(Arrays.asList(data.get(i).split(\\\"-\\\")));\\n\\t\\t\\t\\tmyList.add(new BookItem(list.get(0),Integer.parseInt(list.get(1)),Double.parseDouble(list.get(2)),list.get(3),Integer.parseInt(list.get(4)),list.get(5),list.get(6), Integer.parseInt(\\\"0\\\")));\\n\\t\\t\\t\\tSystem.out.println(data.get(i));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\telse if(genMngr.shop_mode == GeneralManager.CLOTHSHOP)\\n\\t\\t{\\n\\t\\t\\tfor(int i=0; i<data.size(); i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tList<String> list = new ArrayList<String>(Arrays.asList(data.get(i).split(\\\"-\\\")));\\n\\t\\t\\t\\tmyList.add(new ClothItem(list.get(0),Integer.parseInt(list.get(1)),Double.parseDouble(list.get(2)),list.get(3),list.get(4),list.get(5),list.get(6), Integer.parseInt(\\\"0\\\")));\\n\\t\\t\\t\\tSystem.out.println(data.get(i));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t//else if\\n\\t\\t//System.out.println(data);\\n\\t\\t//allItemsAvailable.add(e);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43e280bc363a1ad796706a5905b24e47\",\n \"score\": \"0.51244795\",\n \"text\": \"List<StoreProduct> getProducts();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73cad96f86919dc2532ddf31c52295ed\",\n \"score\": \"0.5115421\",\n \"text\": \"List<Title> loadTitles();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae6e4295c6578604817d0b59d7c3c417\",\n \"score\": \"0.511449\",\n \"text\": \"public ArrayList<Game> loadGames ()\\n throws PersistenceException\\n {\\n return loadGamesBy(\\\"\\\", \\\"\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cb645fae877c8c0b6f240e9c9955198e\",\n \"score\": \"0.5078439\",\n \"text\": \"public void loadData() {\\n\\n Gson gson = new Gson(); // initialize Gson for Json\\n\\n // initialize SharedPreferences\\n android.content.SharedPreferences sharedPreferences = context.getSharedPreferences(SHARE_PREFERENCES, 0);\\n String json = sharedPreferences.getString(MOOD_LIST, null);\\n\\n Type type = new TypeToken<ArrayList<HistoryItem>>() {\\n }.getType(); // add data to the list of Json\\n\\n historyList = gson.fromJson(json, type); // load data\\n\\n if (historyList == null) {\\n historyList = new ArrayList<>();\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23ad2cccbeecc8fe18175865cf7af159\",\n \"score\": \"0.50628006\",\n \"text\": \"private void getStores(){\\n\\n String placesUrl = FIND_PLACE_URL + userLocation + FIND_PLACE_URL_END;\\n\\n Log.i(TAG, \\\"placesURL: \\\" + placesUrl);\\n\\n client.get(placesUrl, new JsonHttpResponseHandler(){\\n @Override\\n public void onSuccess(int statusCode, Headers headers, JSON json) {\\n Log.i(TAG, \\\"onSuccess! \\\" + json.toString());\\n\\n // onSuccess retrieved a json object, which enables us to create a JsonArray to iterate through\\n JSONObject jsonObject = json.jsonObject;\\n try {\\n adapter.clear();\\n adapter.addAll(Store.fromJsonArray(jsonObject.getJSONArray(\\\"results\\\")));\\n } catch (JSONException e) {\\n Log.e(TAG, \\\"Json exception\\\", e);\\n e.printStackTrace();\\n }\\n }\\n\\n @Override\\n public void onFailure(int statusCode, Headers headers, String response, Throwable throwable) {\\n Log.i(TAG, \\\"onFailure! \\\" + response, throwable);\\n }\\n });\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e1bc05c4219c926686c8fbbf09a784de\",\n \"score\": \"0.5056135\",\n \"text\": \"public ArrayList<Product> loadProducts(){\\n ServiceProduct pdb = new ServiceProduct();\\n ArrayList<Product> products = new ArrayList<Product>();\\n Product product = null;\\n products = pdb.getProducts();\\n \\n if(products.isEmpty()){\\n System.out.println(\\\"Error al cargar als cetgorias, estan vacia. ProductsAction::getProduct\\\");\\n return null;\\n }\\n else\\n return products;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5fcbef5bd92c8b338e989e536d289e78\",\n \"score\": \"0.5043616\",\n \"text\": \"@Override\\n public void setShopList(ArrayList<String> names) {\\n if (isViewRunning()){\\n getView().setShopNames(names);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ccabb65920092bbd7fceb5a8b64e5130\",\n \"score\": \"0.50406265\",\n \"text\": \"@GetMapping(\\\"/list\\\")\\n public List<ShoppingList> getAll() {\\n return shoppingListsRepository.findAll();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"34ef9dfe66bb70b25d9928e1d323ff47\",\n \"score\": \"0.504031\",\n \"text\": \"List<T> load();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ebd421a4450024028f12baad09f660b7\",\n \"score\": \"0.50394076\",\n \"text\": \"@RequestMapping(value = \\\"/user-preferred-shops\\\", method = RequestMethod.GET)\\n public Collection<Shop> getUserPreferredShops() {\\n // Retrieve connected user from database\\n User user = this.userUtility.getAuthenticatedUser();\\n // Create preferred shops collection\\n Collection<Shop> shops = user.getPreferredShops();\\n // Return user preferred shops\\n return shops;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00ee424dfdcc57212384d441d25de0a3\",\n \"score\": \"0.50390154\",\n \"text\": \"public List<Sauce> createLists() {\\n PizzaMenu menuInstance = Menu.pizza;\\n return menuInstance.getDefinedSauces();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3cdc16ac7d93583a21ef9784bcd0e2d2\",\n \"score\": \"0.50367504\",\n \"text\": \"public void load() {\\n\\t\\tSystem.out.println(\\\"Statring Loading.\\\");\\n\\t\\ttry {\\n\\t\\t\\tlist.load(list.getFileName());\\n\\t\\t\\tSystem.out.println(\\\"Loading Success.\\\");\\n\\t\\t} catch (FileNotFoundException e) {\\n\\t\\t\\tSystem.out.println(\\\"Loading Failed: file \\\" + list.getFileName()\\n\\t\\t\\t\\t\\t+ \\\" not found.\\\");\\n\\t\\t} catch (IllegalArgumentException e) {\\n\\t\\t\\tSystem.out.println(\\\"Loading Failed: \\\" + e);\\n\\t\\t} catch (RuntimeException e) {\\n\\t\\t\\tSystem.out.println(\\\"Loading Failed: Unexpected error, \\\" + e);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0cc3aacf2cc8dd735b9116806d0b882a\",\n \"score\": \"0.5026786\",\n \"text\": \"public Shop(List<Server> list) { \\n this.listOfServers = list; \\n this.rng = null; \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0c437dd6b36073a17d567ac81a6a8124\",\n \"score\": \"0.5018466\",\n \"text\": \"public void LoadItems(){\\n\\t \\n\\t\\ttry {\\n\\t\\t\\t BufferedReader reader = new BufferedReader(new FileReader(\\\"ItemList.txt\\\"));\\n\\t\\t String line = reader.readLine();\\n\\t\\t while (line != null) {\\n\\t\\t \\t itemList.add(line);\\n\\t\\t line = reader.readLine();\\n\\t\\t }\\n\\t\\t reader.close();\\n\\t\\t}\\n\\t\\tcatch(Exception e) {\\n\\t\\t\\tSystem.out.println(e);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3e567e42794f9522da317892a1605470\",\n \"score\": \"0.5013563\",\n \"text\": \"Shops selectByPrimaryKey(Integer id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9b530008db0f5a19c4a388abdd5dd16a\",\n \"score\": \"0.50070983\",\n \"text\": \"@PostConstruct\\r\\n\\tpublic void getFetch(){\\r\\n\\t\\tgocCfList = dbService.getList(new GocCashFlow());\\r\\n\\t\\tselectedGocCfList = gocCfList;\\r\\n\\t\\tSystem.out.println(\\\"Fetch Goc CashFlow \\\");\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a6784286df7e4959409b89722ae0397\",\n \"score\": \"0.50056976\",\n \"text\": \"public void loadListProducts() {\\n\\t\\ttry {\\n\\t\\t\\tconvocatory.setTypeConvocatory((TypeConvocatory) UtilWeb.loadObject(typeConvocatories, convocatory.getTypeConvocatory()));\\n\\t\\t\\tproducts = new ArrayList<>();\\n\\t\\t\\tconvocatoryProducts = new ArrayList<>();\\n\\t\\t\\tconvocatoryProduct = new ConvocatoryProduct();\\n\\t\\t\\tif (convocatory.getTypeConvocatory().getName().equals(TypeConvocatoryEnum.Medicamentos.name())) {\\n\\t\\t\\t\\tList<Medicine> lst = iMedicineService.findAllEntity();\\n\\t\\t\\t\\tlst.forEach(i -> products.add(new Product(i.getName(), i.getId(), i)));\\n\\t\\t\\t} else if (convocatory.getTypeConvocatory().getName().equals(TypeConvocatoryEnum.Almacen.name())) {\\n\\t\\t\\t\\tList<ProductWarehouse> lst2 = iProductWarehouseService.findAllEntity();\\n\\t\\t\\t\\tlst2.forEach(i -> products.add(new Product(i.getName(), i.getId(), i)));\\n\\t\\t\\t}\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tUtilWeb.printError(LOG, e);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58b3fa75d3e2828fcc7d5af37ffcd196\",\n \"score\": \"0.4990465\",\n \"text\": \"public static void Load(Context context)\\n {\\n String s=FileSupporter.LoadStrinFromFile(path,context);\\n ObjectMapper mapper = new ObjectMapper();\\n\\n CollectionType t=mapper.getTypeFactory()\\n .constructCollectionType(List.class, HeroAB.class);\\n try {\\n habList=mapper.readValue(s,t);\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d7cfbef16ee94261d7c28d134fa48fac\",\n \"score\": \"0.49874377\",\n \"text\": \"List<Bean> loadAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e40de52e320e8308746018db6d3ff3d7\",\n \"score\": \"0.49839225\",\n \"text\": \"private void loadItemList() {\\n try {\\n listModel = jsonReader.read();\\n modelName.clear();\\n for (int i = 0; i < listModel.countListItems(); i++) {\\n modelName.addElement(listModel.returnListItem(i).getName());\\n }\\n System.out.println(\\\"Loaded \\\" + listModel.getName() + \\\" from \\\" + JSON_STORE + \\\"\\\\n\\\");\\n } catch (IOException e) {\\n System.out.println(\\\"Unable to read from file: \\\" + JSON_STORE);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6b823a7a9f6f0ae50fd49daa6b2521cd\",\n \"score\": \"0.49783424\",\n \"text\": \"public Result cityShops(){\\n \\n int cityId=0;\\n String cityIdRaw;\\n String cityString=\\\"\\\";\\n Cities city;\\n List <models.Shop> shopList=new ArrayList<models.Shop>();\\n List <Cities> cityList;\\n \\n cityIdRaw=request().getQueryString(\\\"city\\\");\\n if (cityIdRaw!=null)\\n\\t {\\n\\t \\tcityId=Integer.parseInt(cityIdRaw);\\n\\t if (cityId>0)\\n\\t {\\n\\t \\tshopList = models.Shop.find.where().eq(\\\"cityid\\\",cityId).findList();\\n\\t \\t\\n\\t \\tcity=Cities.find.where().eq(\\\"id\\\",cityId).findUnique();\\n\\t \\tcityString=\\\" in \\\"+city.city+\\\", \\\"+city.state;\\n\\t }\\n }\\n \\n cityList = Cities.find.all(); \\n \\n return ok(city_shops.render(cityList,cityId,shopList,cityString)); \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00e086a27209fe7747860ed644e8d80d\",\n \"score\": \"0.497574\",\n \"text\": \"public SSShopManager getShopManager() {\\n\\t\\treturn this.shops;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6a1fcffded74e1cf5e1dd380a2d96046\",\n \"score\": \"0.49716854\",\n \"text\": \"public void savelistinit() {\\n\\t\\t\\r\\n\\t\\tStaticStore.indexCtr = 0;\\r\\n\\t\\tStaticStore.enableHome = true;\\r\\n\\t\\tStaticStore.listIndexArray = new int[10];\\r\\n\\t\\tStaticStore.selectedIndexArray = new int[10];\\r\\n\\t\\tStaticStore.listContent = new String[10][10];\\r\\n\\t\\tStaticStore.listHeading = new String[10];\\r\\n\\t\\tStaticStore.listMore = new boolean[10];\\t\\t \\r\\n\\t\\tStaticStore.listImageArray = new boolean[10];\\t\\t \\r\\n\\t\\tStaticStore.midlet.isProcessing = false;\\r\\n\\t\\tStaticStore.FromListScreen = false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c860ea92d09917e729853b067c3b3829\",\n \"score\": \"0.49671823\",\n \"text\": \"public ShopExecution getShopList(Shop shopCondition, int pageIndex, int pageSize);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2954a702e7057f6acdf7203bd5119673\",\n \"score\": \"0.49644917\",\n \"text\": \"private void fetchProducts() {\\n fruits.addAll(dataInstance.getProducts(ProductCategory.CITRUS_FRUIT));\\n fruits.addAll(dataInstance.getProducts(ProductCategory.BERRY));\\n fruits.addAll(dataInstance.getProducts(ProductCategory.EXOTIC_FRUIT));\\n fruits.addAll(dataInstance.getProducts(ProductCategory.FRUIT));\\n fruits.addAll(dataInstance.getProducts(ProductCategory.MELONS));\\n fruits.addAll(dataInstance.getProducts(ProductCategory.POD));\\n\\n //Adding all vegetable products to the vegetable-list\\n vegetables.addAll(dataInstance.getProducts(ProductCategory.ROOT_VEGETABLE));\\n vegetables.addAll(dataInstance.getProducts(ProductCategory.CABBAGE));\\n vegetables.addAll(dataInstance.getProducts(ProductCategory.VEGETABLE_FRUIT));\\n\\n //Adding all herb products to the herb-list\\n herbs.addAll(dataInstance.getProducts(ProductCategory.HERB));\\n\\n // Add meats\\n meat.addAll(dataInstance.getProducts(ProductCategory.MEAT));\\n fish.addAll(dataInstance.getProducts(ProductCategory.FISH));\\n\\n // Add dairy\\n dairy.addAll(dataInstance.getProducts(ProductCategory.DAIRIES));\\n\\n // Add pantry\\n bread.addAll(dataInstance.getProducts(ProductCategory.BREAD));\\n flourSugarSalt.addAll(dataInstance.getProducts(ProductCategory.FLOUR_SUGAR_SALT));\\n nuts.addAll(dataInstance.getProducts(ProductCategory.NUTS_AND_SEEDS));\\n pasta.addAll(dataInstance.getProducts(ProductCategory.PASTA));\\n potatoRice.addAll(dataInstance.getProducts(ProductCategory.POTATO_RICE));\\n\\n // Add drinks\\n coldDrinks.addAll(dataInstance.getProducts(ProductCategory.COLD_DRINKS));\\n hotDrinks.addAll(dataInstance.getProducts(ProductCategory.HOT_DRINKS));\\n\\n // Add sweets\\n sweets.addAll(dataInstance.getProducts(ProductCategory.SWEET));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02e5ebd89e037b931d63c1bf4c5f290f\",\n \"score\": \"0.4959674\",\n \"text\": \"List<Site> getList(String key);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d7e0d82b8fe06f00a56edc544c920259\",\n \"score\": \"0.49548855\",\n \"text\": \"@RequestMapping(value = \\\"/getProducts\\\", method = RequestMethod.GET)\\n List<ProductInfo> getProductList(@RequestParam(\\\"shopinfoid\\\") Integer shopinfoid){\\n return productInfoService.getProducts(shopinfoid);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a0bc207bb9f46fd03715325979bfe267\",\n \"score\": \"0.49535918\",\n \"text\": \"public void loadList(ChecklistGroupBean checklistGroupBean) {\\n\\n // Remove any service checklist items that are not in the selected Checklist Group. \\n ListIterator<ServiceChecklistItemBean> it = serviceChecklistItemList.listIterator();\\n boolean found;\\n while (it.hasNext()) {\\n ServiceChecklistItemBean serviceItem = it.next();\\n // Check if this is a custom checklist item. If so, skip it.\\n if (!StringUtility.isEmpty(serviceItem.getItemCode())) {\\n found = false;\\n if (checklistGroupBean != null) {\\n for (ChecklistItemBean item : checklistGroupBean.getChecklistItemList()) {\\n if (serviceItem.getItemCode().equalsIgnoreCase(item.getCode())) {\\n // Service Checklist item is also an item in the Checklist Group. \\n // Do not delete this item from the list. \\n found = true;\\n break;\\n }\\n }\\n }\\n if (!found) {\\n // Use safeRemove to delete items from the list that have not yet\\n // been saved to the database. \\n serviceChecklistItemList.safeRemove(serviceItem, EntityAction.DELETE);\\n }\\n }\\n }\\n\\n if (checklistGroupBean != null && checklistGroupBean.getChecklistItemList().size() > 0) {\\n // Add any checklist items in the Checklist Group that are not in the list \\n // of Serivce Checklist items. \\n for (ChecklistItemBean item : checklistGroupBean.getChecklistItemList()) {\\n found = false;\\n for (ServiceChecklistItemBean serviceItem : serviceChecklistItemList) {\\n if (!StringUtility.isEmpty(serviceItem.getItemCode())\\n && serviceItem.getItemCode().equalsIgnoreCase(item.getCode())) {\\n found = true;\\n break;\\n }\\n }\\n\\n if (!found) {\\n // Add the new ServiceChecklistItem. \\n ServiceChecklistItemBean bean = new ServiceChecklistItemBean();\\n bean.setItemCode(item.getCode());\\n bean.setServiceId(serviceId);\\n bean.setItemDisplayValue(item.getDisplayValue());\\n bean.setItemDescription(item.getDescription());\\n bean.setItemDisplayOrder(item.getDisplayOrder());\\n bean.setComplies(false);\\n serviceChecklistItemList.addAsNew(bean);\\n }\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"89778f6e7478563c0cca8fd088efba05\",\n \"score\": \"0.49531847\",\n \"text\": \"public Hashtable<String, Object> loadSearchList() throws LogicException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b495efb069cb9d7aa96f55a5a87e867d\",\n \"score\": \"0.4950041\",\n \"text\": \"@Override\\n\\tpublic List<PosStoreBar> listPosStoreBar() {\\n\\t\\tPosStoreBar posStoreBar = new PosStoreBar();\\n\\t\\tposStoreBar.setHotelGroupId(UserManager.getHotelGroupId());\\n\\t\\tposStoreBar.setHotelId(UserManager.getHotelId());\\n\\t\\treturn posStoreBarService.listPosStoreBar(posStoreBar);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbcc2bd4ca626070a1ff4dc91e85da4d\",\n \"score\": \"0.4949765\",\n \"text\": \"public ArrayList<Tool> getShop()\\r\\n\\t\\t{\\r\\n\\t\\t\\treturn shop;\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c97eb10ec0b86c9b5f570f4c4390be97\",\n \"score\": \"0.4945948\",\n \"text\": \"public void loadInventory() {\\n OpVal chaves[] = new OpVal[1];\\n chaves[0] = new OpVal(\\\"codUser\\\",codUser);\\n RDLista objetosInventario = new RDLista(\\\"CoopInventario\\\",chaves);\\n while(!objetosInventario.end()) {\\n //obtem o proximo item\\n CoopInventario invItem = (CoopInventario) objetosInventario.next();\\n //cria um objeto e adiciona ao inventario\\n CoopObjeto obj = new CoopObjeto(invItem.codObjeto);\\n addItemInventory(obj,false);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d95c85cddf3b9a2b6bda2c622bb667a2\",\n \"score\": \"0.49233925\",\n \"text\": \"@FXML\\n\\tpublic void shoppingListList(MouseEvent event) {\\n\\t\\tloadContent(\\\"ShoppingListList\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"197005ea63f2eb1538e8136e01661f66\",\n \"score\": \"0.49164644\",\n \"text\": \"public String loadSongs() {\\n\\t\\tList<SongTO> songs = new ArrayList<SongTO>();\\n\\t\\ttry {\\n\\t\\t\\tsongs = new ArtistService().loadSongList(this.albumName, this.artistId);\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\tGson gson = new Gson();\\n\\t\\tthis.songList = gson.toJson(songs);\\n\\t\\treturn SUCCESS;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"11ef87b91ff07f92cce9278ab3de3a8a\",\n \"score\": \"0.49128443\",\n \"text\": \"void loadOrders();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00fc8dcfce41600595a8cfd1736c4f65\",\n \"score\": \"0.49113175\",\n \"text\": \"private void loadCart() {\\n bookList = new ArrayList<Book>();\\n bookQuantityList = new HashMap<Book, Integer>();\\n for (Book book : sc.getCartItems().keySet()) {\\n bookList.add(book);\\n }\\n bookQuantityList = sc.getCartItems();\\n this.itemCount = sc.getItemCount();\\n this.receipt = sc.getReceipt();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"004b2cb299175a18466f266a2f7209a4\",\n \"score\": \"0.49080983\",\n \"text\": \"@Override\\n public void loaded(List<String> items) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ebb031a83a352c92ae679f154eec4305\",\n \"score\": \"0.49073717\",\n \"text\": \"public Shop() {\\r\\n listOfParts = new MyArrayList<Part>();\\r\\n listOfOrders = new MyArrayList<Order>();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"26ca6372ce1da44937b4858b684e97be\",\n \"score\": \"0.49059653\",\n \"text\": \"private void loadManagers(){\\n jsonH.makeJsonArryReq(Const.URL_JSON_ARRAY_ALL_USERS);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2fb8feed8e5f50780904ff72b41795fe\",\n \"score\": \"0.48978367\",\n \"text\": \"@Override\\n\\tpublic Hashtable<String, Object> loadLists(String fuelCardId)\\n\\t\\t\\tthrows LogicException {\\n\\n\\t\\tHashtable<String, Object> data = new Hashtable<String, Object>();\\n\\t\\tCollection<String> cardCodeClient = new ArrayList<String>();\\n\\t\\tcardCodeClient.add(fuelCardId);\\n\\t\\tList<Airplane> airplanes = null;\\n\\n\\t\\ttry {\\n\\t\\t\\t/*\\n\\t\\t\\t * Se invoca al metodo de persistencia que realizan la busqueda de\\n\\t\\t\\t * los airplanes a ser mostrados en el combo de aeronaves al agregar\\n\\t\\t\\t * un nuevo FuelCard\\n\\t\\t\\t */\\n\\t\\t\\tairplanes = airplaneDao.findAllByUser(cardCodeClient);\\n\\t\\t\\tdata.put(\\\"airplanes\\\", airplanes);\\n\\n\\t\\t} catch (PersistenceException e) {\\n\\t\\t\\tlogger.error(\\n\\t\\t\\t\\t\\t\\\"Ocurrio un error al intentar obtener las listas de los combos de busqueda de Airplanes\\\",\\n\\t\\t\\t\\t\\te);\\n\\t\\t\\tthrow new LogicException(e.getMessage(), e);\\n\\t\\t}\\n\\t\\treturn data;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e365dc46f21368c2dbe0ccbe2c805ef\",\n \"score\": \"0.48867163\",\n \"text\": \"@Override\\n\\tpublic Hashtable<String, Object> loadSearchList() throws LogicException {\\n\\t\\tHashtable<String, Object> data = new Hashtable<String, Object>();\\n\\n\\t\\ttry {\\n\\t\\t\\tList<BusinessPartner> clients = businessPartnerDao.findByType(Constants.CUSTOMER);\\n\\t\\t\\tdata.put(\\\"clients\\\", clients);\\n\\t\\t} catch (PersistenceException e) {\\n\\t\\t\\tlogger.error(\\n\\t\\t\\t\\t\\t\\\"Ocurrio un error al intentar obtener la lista del combo de la vista ingresar o modificar un usuario del modulo de FuelCard \\\",\\n\\t\\t\\t\\t\\te);\\n\\t\\t\\tthrow new LogicException(e.getMessage(), e);\\n\\t\\t}\\n\\t\\treturn data;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b828547124a232b7aad3dd211cdb3e20\",\n \"score\": \"0.48814866\",\n \"text\": \"public void setCropsNamesInList(){\\n currentCrops = new HashMap<>();\\n listModel = new DefaultListModel();\\n \\n try{\\n currentCrops = controller.getCropsNames();\\n myCrops_list.setModel(listModel);\\n \\n for(int i=0; i<currentCrops.size(); i++){\\n listModel.addElement(currentCrops.values().toArray()[i]);\\n }\\n this.revalidate();\\n this.repaint();\\n }\\n catch(MyException ex){\\n ex.showException(this);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f2956cf608a3c566b556b4d56053a729\",\n \"score\": \"0.48797992\",\n \"text\": \"public static ArrayList<String> getShopList() {\\r\\n\\t\\tArrayList<String> shopList = new ArrayList<>();\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tCallableStatement proc = Main.conn.prepareCall(\\\"{call dbo.getShopList(?)}\\\");\\r\\n\\t\\t\\tproc.setString(1, MerchantID);\\r\\n\\t\\t\\tResultSet rs = proc.executeQuery();\\r\\n\\t\\t\\twhile (rs.next()) {\\r\\n\\t\\t\\t\\tshopList.add(rs.getString(1));\\r\\n\\t\\t\\t}\\r\\n\\t\\t} catch (SQLException exception) {\\r\\n\\t\\t\\texception.printStackTrace();\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\treturn shopList;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dcdb9d7f740135afeb67a2534ecc195c\",\n \"score\": \"0.48797917\",\n \"text\": \"@Override\\n\\tpublic Hashtable<String, Object> loadLists() throws LogicException {\\n\\t\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"923a85f7c28a8aa0089b3e9d2974359d\",\n \"score\": \"0.48671103\",\n \"text\": \"private void ListarServicos() {\\n try {\\n //String com o usuario do banco de dados\\n String usuario = \\\"root\\\";\\n //String com o caminho do banco de daods\\n String url = \\\"jdbc:mysql://localhost:3306/sgps\\\";\\n //String com a senha do banco de daods\\n String senha = \\\"\\\";\\n Connection conexao = DriverManager.getConnection(url, usuario, senha);\\n\\n //Query que traz os dados do banco de dados\\n String sql = \\\"SELECT * FROM servicos\\\";\\n\\n //Prepara para executar um comando\\n PreparedStatement pst = conexao.prepareStatement(sql);\\n\\n //Armazena o resultado da consulta\\n ResultSet rs = pst.executeQuery();\\n\\n //Enquanto existirem dados executa o laco de repeticao\\n while (rs.next()) {\\n cmbxServico.addItem(String.valueOf(rs.getInt(\\\"idServicos\\\")) + \\\"-\\\" + rs.getString(\\\"NomeDoServico\\\"));\\n }\\n\\n } catch (SQLException e) {\\n //Rastreia o erro\\n e.printStackTrace();\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"310b0f72a5ad07a8ff5c2574b21a5d94\",\n \"score\": \"0.48567113\",\n \"text\": \"public void getStore() {\\n\\t\\t try {\\n\\t\\t\\tconnection.getConnections();\\n\\t\\t\\tconnection.stmt = connection.con.createStatement();\\n\\t\\t\\tResultSet rs = connection.stmt.executeQuery(\\\"select * from store\\\"); \\n\\t\\t\\twhile(rs.next()) {\\n\\t\\t\\t\\taddStore.add(new StoreObject(rs.getString(1),rs.getString(2),rs.getString(3),rs.getString(4),rs.getString(5),rs.getString(6),rs.getString(7),rs.getString(8),rs.getString(9)));\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\tconnection.con.close();\\n\\n\\t\\t} catch (SQLException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\t \\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"967051de631ac2b02bd86c838ebf013f\",\n \"score\": \"0.48532256\",\n \"text\": \"List<StoreVO> getStoreList() throws SQLException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"61f30b1f212b7ae16dbc3ea4013baf22\",\n \"score\": \"0.48502216\",\n \"text\": \"public void populateList()\\n {\\n schedulelist = retrieveSchedule();\\n sortListDate();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"188eb49ada7cfde9affeb6ee8115c1c7\",\n \"score\": \"0.48480323\",\n \"text\": \"private void loadData() {\\n parts = FileUtils.retrieveParts();\\n buyingService.setPurchaseHistory(FileUtils.retrievePurchaseHistory());\\n sellingService.setSellHistory(FileUtils.retrieveSalesHistory());\\n storeBalance = FileUtils.retrieveStoreBalance();\\n System.out.println(\\\"Loading data...\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1672bf0e44b689b8be9907832d60a940\",\n \"score\": \"0.48471847\",\n \"text\": \"public void loadData() {\\n this.list = DatabaseHandler.getProductList();\\n this.tableView.setItems(this.list);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"680639ebde8ba0eccba3eb6bfd4f4ea5\",\n \"score\": \"0.48393095\",\n \"text\": \"void loadGridCategory(ArrayList<DataCategory> listOfCategory);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"584ec1c1fa46de7863af921d1eea638b\",\n \"score\": \"0.48351857\",\n \"text\": \"public void openShop(){\\r\\n\\t\\t\\tAdventureManager.currentRoom.t.stop();\\r\\n\\r\\n\\t\\t\\tshopPanel.setVisible(true);\\r\\n\\t\\t\\titems = AdventureManager.currentNPC.shop;\\r\\n\\t\\t\\tupdateInfo();\\r\\n\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c07224171a07158502d7bae7aa5caafc\",\n \"score\": \"0.48316637\",\n \"text\": \"public ArrayList<Store> getAllStores() {\\n\\t\\tif (stores != null)\\n\\n\\t\\t\\treturn stores;\\n\\n\\t\\tstores = new ArrayList<>();\\n\\t\\tif (Files.exists(storesPath)) \\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// FileNotFoundExeption\\n\\t\\t{\\n\\t\\t\\ttry (BufferedReader in = new BufferedReader(new FileReader(storesFile))) {\\n\\t\\t\\t\\t// read all the different stores stored in the array list\\n\\t\\t\\t\\tString line = in.readLine();\\n\\t\\t\\t\\twhile (line != null) {\\n\\t\\t\\t\\t\\tString[] columns = line.split(FIELD_SEP);\\n\\t\\t\\t\\t\\tString id = columns[0];\\n\\t\\t\\t\\t\\tString divisionNbr= columns[1];\\n\\t\\t\\t\\t\\tString storeNbr = columns[2];\\n\\t\\t\\t\\t\\tString sales = columns[3];\\n\\t\\t\\t\\t\\tString name = columns[4];\\n\\t\\t\\t\\t\\tString address = columns[5];\\n\\t\\t\\t\\t\\tString city = columns[6];\\n\\t\\t\\t\\t\\tString state = columns[7];\\n\\t\\t\\t\\t\\tString zip = columns[8];\\n\\n\\t\\t\\t\\t\\tStore s = new Store(Integer.parseInt(id), divisionNbr, storeNbr, Double.parseDouble(sales), name,\\n\\t\\t\\t\\t\\t\\t\\taddress, city, state, zip);\\n\\t\\t\\t\\t\\tstores.add(s);\\n\\t\\t\\t\\t\\tline = in.readLine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t} catch (IOException e) {\\n\\t\\t\\t\\tSystem.out.println(e);\\n\\t\\t\\t\\treturn null;\\n\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\n\\t\\t}\\n\\t\\treturn stores;\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0c61ac8cb2c7c0e0d450fff1798c732a\",\n \"score\": \"0.48285398\",\n \"text\": \"void loadSheltersByAddress(boolean showLoadingUi);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed40368dd2686bf30d1ebc7f5b06105d\",\n \"score\": \"0.4827726\",\n \"text\": \"public int dbLoadSiteList()\\n {\\n Secretary.startFxn(\\\"SiteAdmin.dbLoadSiteList()\\\");\\n int numLocs = 0;\\n sites = new LinkedHashMap();\\n String query = \\\"SELECT pdt.DEPTID, pdt.DESCR, pdt.DESCRSHORT, pdt.LOCATION, \\\"\\n + \\\"pst.REGION, pst.DISTRICT FROM PS_SH_TERRITORY pst \\\"\\n + \\\"right join PS_DEPT_TBL pdt \\\"\\n + \\\"ON \\\"\\n + \\\"pst.DEPTID = pdt.DEPTID \\\"\\n + \\\"WHERE \\\"\\n + \\\"pdt.COMPANY = 'SMC' \\\"\\n + \\\"AND \\\"\\n + \\\"pdt.EFF_STATUS = 'A'\\\";\\n Secretary.write(query);\\n try{\\n Class.forName(dbDriver);\\n conn = DriverManager.getConnection(dbServer, dbLogin, dbPassword);\\n Statement stmt = conn.createStatement();\\n ResultSet rs = stmt.executeQuery(query);\\n while(rs.next())\\n {\\n Site aSite = null;\\n Integer tempID;\\n int deptID = 0;\\n int regionNum = 0;\\n try{\\n tempID = new Integer(rs.getString(\\\"DEPTID\\\").trim());\\n deptID = tempID.intValue();\\n }catch(NumberFormatException e)\\n {}\\n regionNum = rs.getInt(\\\"REGION\\\");\\n aSite = new Site();\\n aSite.setRegion(regionNum);\\n aSite.setDistrict(rs.getInt(\\\"DISTRICT\\\"));\\n aSite.setIdNumber(deptID);\\n aSite.setName((rs.getString(\\\"DESCR\\\")).trim());\\n sites.put(new Integer(aSite.getIdNumber()), aSite);\\n numLocs++;\\n //System.out.println(\\\"num sites = \\\" + sites.size());\\n }\\n }catch (ClassNotFoundException e) {\\n System.out.println(\\\"Error creating connection: \\\" + e);\\n }catch(SQLException e){\\n System.out.println(\\\"SQLException in SiteAdmin.dbLoadSiteList() -> \\\" + e);\\n }finally{\\n try{\\n conn.close();\\n }catch(Exception e)\\n {\\n System.out.println(\\\"Can't close connection\\\");\\n }\\n Secretary.endFxn(\\\"SiteAdmin.dbLoadSiteList()\\\");\\n }\\n return numLocs;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35045679dd3a2b8a830977f4a280a425\",\n \"score\": \"0.4823744\",\n \"text\": \"public void loadConfig() {\\n for (MenuItem menuItem : getMenuItems()) {\\n items.put(menuItem.getId(), menuItem);\\n }\\n //insert group into hashmap\\n for (MenuGroup menuGroup : getMenuGroups()) {\\n //get information of item to display in web\\n List<MenuItem> items = menuGroup.getMenuItems();\\n for (MenuItem item : items) {\\n if (!item.isSkipParseValue()) {\\n MenuItem fullItem = this.items.get(item.getId());\\n if (fullItem == null) {\\n continue;\\n }\\n //get enough data of item here\\n item.setName(fullItem.getName());\\n item.setUrl(fullItem.getUrl());\\n }\\n }\\n groups.put(menuGroup.getId(), menuGroup);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"61af5130d12aff08f67ec99ee58361d6\",\n \"score\": \"0.48202938\",\n \"text\": \"public void listProduct() {\\n\\t\\tShop shop = findShop();\\n\\n\\t\\tif (shop == null)\\n\\t\\t\\treturn;\\n\\n\\t\\tStringBuilder sb = new StringBuilder();\\n\\t\\tint counter = 1;\\n\\n for (ShopItemStack itm : shop.getProduct()) {\\n sb.append(String.format(\\\"&b[&f%d&b] &2- &f%s\\\\n\\\", counter, itm.getItemStack().hasItemMeta() && itm.getItemStack().getItemMeta().hasDisplayName() ? itm.getItemStack().getItemMeta().getDisplayName() : itm.getItemStack().getType().toString()));\\n\\t\\t\\tcounter++;\\n\\t\\t}\\n\\n\\t\\tsendMessage(Message.SHOP_ITEM_LIST.getPrefixed().replaceAll(\\\"%type%\\\", \\\"products\\\").replaceAll(\\\"%list%\\\", sb.toString()));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"01192866bd17b2cbea95b6c89289cb70\",\n \"score\": \"0.48157322\",\n \"text\": \"private void initData() {\\n\\t\\tgetAutoCompleteData(null);\\n\\t\\tList<String> shList = new ArrayList<String>();\\n\\t\\tFileSavaLoad mFileSavaLoad = new FileSavaLoad(getActivity(), FILENAME);\\n\\t\\ttry {\\n\\t\\t\\tshList = mFileSavaLoad.load();\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tshList = new ArrayList<String>();\\n\\t\\t\\tLog.d(TAG, \\\"Error loading\\\");\\n\\t\\t}\\n\\t\\tif(shList.isEmpty()){\\n\\t\\t\\t//rl_clearrelativeLayout.setVisibility(View.GONE);\\n\\t\\t} else if (shadapter == null){\\n\\t\\t\\tshadapter = new SearchHistoryAdapter(getActivity(),shList);\\n\\t\\t\\tlvsearchHistory.setAdapter(shadapter);\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tshadapter.notifyDataSetChanged();\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b04efd9138880784d3cda69eb0d95d1\",\n \"score\": \"0.4813431\",\n \"text\": \"public Hashtable<String, Object> loadLists(String objectId) throws LogicException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86f782b9b6749201759199cbc9c4f8e0\",\n \"score\": \"0.4812636\",\n \"text\": \"public List<Shop> getFavoriteShops(long userId){\\n List<Shop> ret = new LinkedList<>();\\n List<Long> res = getFavoriteShopsIDs(userId);\\n for (long id : res) {\\n ret.add(getShop(id));\\n }\\n return ret;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd29e589240f842e2e58eb2fe6f79fff\",\n \"score\": \"0.48068637\",\n \"text\": \"public void loadData() {\\n SharedPreferences sharedPreferences = getSharedPreferences(SHARED_PRE, MODE_PRIVATE);\\n Gson gson = new Gson();\\n TypeToken type = new TypeToken<ArrayList<Plant>>() {};\\n String json = sharedPreferences.getString(MY_PLANT_LIST, null);\\n Log.d(\\\"saveData\\\", json);\\n ArrayList<Plant> userPlantList = gson.fromJson(json, type.getType());\\n\\n if(userPlantList != null || !userPlantList.isEmpty()) {\\n MyPlantList.getInstance().addAllPlant(userPlantList);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82585ec0152e911752be638521f9827e\",\n \"score\": \"0.478862\",\n \"text\": \"@Override\\r\\n public List<ModelShop> getAdminShoppingList() {\\n String sql = Query.GETADMINSHOPPINGLIST;\\r\\n Connection conn = null;\\r\\n //PreparedStatement pre = null;\\r\\n CallableStatement cs=null;\\r\\n ResultSet rs = null;\\r\\n List<ModelShop> list = new ArrayList<ModelShop>();\\r\\n try {\\r\\n conn = DbConnect.dbConnect();\\r\\n cs=conn.prepareCall(sql);\\r\\n cs.registerOutParameter(1, OracleTypes.CURSOR);\\r\\n cs.execute();\\r\\n // pre = conn.prepareStatement(sql);\\r\\n// rs = pre.executeQuery();\\r\\n rs= (ResultSet) cs.getObject(1);\\r\\n while (rs.next()) {\\r\\n// ResultSetMetaData rsmd = rs.getMetaData();\\r\\n// rsmd.\\r\\n// System.out.println(\\\"id - \\\" +rs.getLong(\\\"ID\\\"));\\r\\n ModelShop model = new ModelShop();\\r\\n model.setPrimaryId(rs.getLong(\\\"ID\\\"));\\r\\n model.setName(rs.getString(\\\"NAME\\\"));\\r\\n model.setSurname(rs.getString(\\\"SURNAME\\\"));\\r\\n model.setEmail(rs.getString(\\\"EMAIL\\\"));\\r\\n model.setLogginDate(rs.getDate(\\\"LOGIN_DATE\\\"));\\r\\n model.setTasks(rs.getString(\\\"TASK\\\"));\\r\\n model.setActive(rs.getInt(\\\"ACTIVE\\\"));\\r\\n list.add(model);\\r\\n\\r\\n }\\r\\n } catch (Exception e) {\\r\\n System.out.println(\\\" getAdminShoppingList \\\");\\r\\n e.printStackTrace();\\r\\n } finally {\\r\\n try {\\r\\n conn.commit();\\r\\n } catch (Exception e) {\\r\\n e.printStackTrace();\\r\\n }\\r\\n DbClose.dbClose(conn, null, rs);\\r\\n try {\\r\\n cs.close();\\r\\n } catch (SQLException e) {\\r\\n e.printStackTrace();\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n return list;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ae1ff8263814ebe48e1fb3626e84be4\",\n \"score\": \"0.47878873\",\n \"text\": \"@Test\\n\\tpublic void contextLoads() {\\n Map<String, String> hostAll = fuctionService.getHostAll();\\n// ZabbixLastItem item = new ZabbixLastItem();\\n// item.setHostId(\\\"10279\\\");\\n// List<ZabbixLastItem> latestItemData = fuctionService.getLatestItemData(item, new ArrayList<>());\\n// System.out.println(\\\"---->\\\"+latestItemData);\\n// List<ZabbixItem> items = fuctionService.getItems(param);\\n //ZabbixItem zabbixItem = new ZabbixItem();\\n //List< ZabbixItem> itemData = fuctionService.getItemData(zabbixItem,0 ,1000);\\n// // System.out.println(\\\"---->\\\"+items);\\n System.out.println(\\\"---->\\\"+hostAll);\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990988,"cells":{"query_id":{"kind":"string","value":"40377022f2abcdfc2efeab7e6307371b"},"query":{"kind":"string","value":"/ Create Assessment Item with Framework (NCFTEST). Expected: Item should be created with given Framework"},"positive_passages":{"kind":"list like","value":[{"docid":"812c8089c4b66c9471d3f929980f6ca8","score":"0.0","text":"@Test\n\tpublic void testItem_02() throws Exception {\n\t\tString request = \"{\\\"request\\\": {\\\"assessment_item\\\": {\\\"identifier\\\": \\\"LP_UTEST_03\\\",\\\"objectType\\\": \\\"AssessmentItem\\\",\\\"metadata\\\": {\\\"code\\\": \\\"test.qtt02\\\",\\\"framework\\\":\\\"NCFTEST\\\",\\\"body\\\":\\\"Test Data for body........save it in cassandra\\\", \\\"itemType\\\":\\\"UNIT\\\",\\\"category\\\":\\\"MCQ\\\",\\\"version\\\":2,\\\"name\\\": \\\"MCQ Question 2\\\",\\\"type\\\": \\\"mcq\\\",\\\"num_answers\\\": 1,\\\"template\\\": \\\"mcq_template_2\\\",\\\"template_id\\\":\\\"mcq_template_2\\\",\\\"qlevel\\\": \\\"MEDIUM\\\",\\\"owner\\\": \\\"username_1\\\",\\\"title\\\": \\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\",\\\"question\\\": \\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\",\\\"model\\\": {\\\"img\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"perimeter\\\"},\\\"img2\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"smallSquare\\\"},\\\"subtext\\\": \\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\"},\\\"options\\\": [{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&10\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"14&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"16&8\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"},\\\"score\\\": 1}],\\\"max_score\\\": 1,\\\"partial_scoring\\\": false,\\\"feedback\\\": \\\"\\\"}}}}\";\n\t\tString path = basePath + \"/create\";\n\t\tactions = mockMvc.perform(MockMvcRequestBuilders.post(path).contentType(MediaType.APPLICATION_JSON)\n\t\t\t\t.header(\"X-Channel-Id\", \"in.ekstep\").content(request));\n\t\tAssert.assertEquals(200, actions.andReturn().getResponse().getStatus());\n\t\tpath = basePath + \"/read/LP_UTEST_03\";\n\t\tactions = mockMvc.perform(MockMvcRequestBuilders.get(path).contentType(MediaType.APPLICATION_JSON)\n\t\t\t\t.header(\"X-Channel-Id\", \"in.ekstep\"));\n\t\tassertEquals(200, actions.andReturn().getResponse().getStatus());\n\t\tResponse resp = getResponse(actions);\n\t\t@SuppressWarnings(\"unchecked\")\n\t\tString frId = (String) ((Map<String, Object>) resp.getResult().get(\"assessment_item\")).get(\"framework\");\n\t\tassertEquals(\"NCFTEST\", frId);\n\t}","title":""}],"string":"[\n {\n \"docid\": \"812c8089c4b66c9471d3f929980f6ca8\",\n \"score\": \"0.0\",\n \"text\": \"@Test\\n\\tpublic void testItem_02() throws Exception {\\n\\t\\tString request = \\\"{\\\\\\\"request\\\\\\\": {\\\\\\\"assessment_item\\\\\\\": {\\\\\\\"identifier\\\\\\\": \\\\\\\"LP_UTEST_03\\\\\\\",\\\\\\\"objectType\\\\\\\": \\\\\\\"AssessmentItem\\\\\\\",\\\\\\\"metadata\\\\\\\": {\\\\\\\"code\\\\\\\": \\\\\\\"test.qtt02\\\\\\\",\\\\\\\"framework\\\\\\\":\\\\\\\"NCFTEST\\\\\\\",\\\\\\\"body\\\\\\\":\\\\\\\"Test Data for body........save it in cassandra\\\\\\\", \\\\\\\"itemType\\\\\\\":\\\\\\\"UNIT\\\\\\\",\\\\\\\"category\\\\\\\":\\\\\\\"MCQ\\\\\\\",\\\\\\\"version\\\\\\\":2,\\\\\\\"name\\\\\\\": \\\\\\\"MCQ Question 2\\\\\\\",\\\\\\\"type\\\\\\\": \\\\\\\"mcq\\\\\\\",\\\\\\\"num_answers\\\\\\\": 1,\\\\\\\"template\\\\\\\": \\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"template_id\\\\\\\":\\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"qlevel\\\\\\\": \\\\\\\"MEDIUM\\\\\\\",\\\\\\\"owner\\\\\\\": \\\\\\\"username_1\\\\\\\",\\\\\\\"title\\\\\\\": \\\\\\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\\\\\",\\\\\\\"question\\\\\\\": \\\\\\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\\\\\",\\\\\\\"model\\\\\\\": {\\\\\\\"img\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"perimeter\\\\\\\"},\\\\\\\"img2\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"smallSquare\\\\\\\"},\\\\\\\"subtext\\\\\\\": \\\\\\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\\\\\"},\\\\\\\"options\\\\\\\": [{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&10\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"14&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"16&8\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"},\\\\\\\"score\\\\\\\": 1}],\\\\\\\"max_score\\\\\\\": 1,\\\\\\\"partial_scoring\\\\\\\": false,\\\\\\\"feedback\\\\\\\": \\\\\\\"\\\\\\\"}}}}\\\";\\n\\t\\tString path = basePath + \\\"/create\\\";\\n\\t\\tactions = mockMvc.perform(MockMvcRequestBuilders.post(path).contentType(MediaType.APPLICATION_JSON)\\n\\t\\t\\t\\t.header(\\\"X-Channel-Id\\\", \\\"in.ekstep\\\").content(request));\\n\\t\\tAssert.assertEquals(200, actions.andReturn().getResponse().getStatus());\\n\\t\\tpath = basePath + \\\"/read/LP_UTEST_03\\\";\\n\\t\\tactions = mockMvc.perform(MockMvcRequestBuilders.get(path).contentType(MediaType.APPLICATION_JSON)\\n\\t\\t\\t\\t.header(\\\"X-Channel-Id\\\", \\\"in.ekstep\\\"));\\n\\t\\tassertEquals(200, actions.andReturn().getResponse().getStatus());\\n\\t\\tResponse resp = getResponse(actions);\\n\\t\\t@SuppressWarnings(\\\"unchecked\\\")\\n\\t\\tString frId = (String) ((Map<String, Object>) resp.getResult().get(\\\"assessment_item\\\")).get(\\\"framework\\\");\\n\\t\\tassertEquals(\\\"NCFTEST\\\", frId);\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"c3206a676c7bd477867935d6c80813db","score":"0.65618974","text":"ComplianceItem createComplianceItem();","title":""},{"docid":"c138d324fdac3468bb1ca56a3fc41989","score":"0.62726504","text":"@Test\n public void postCreateItemTest() {\n String name = null;\n String from = null;\n String mode = null;\n String body = null;\n String jenkinsCrumb = null;\n String contentType = null;\n //api.postCreateItem(name, from, mode, body, jenkinsCrumb, contentType);\n \n // TODO: test validations\n \n \n }","title":""},{"docid":"3460cd5d8b22e35b1fddf3b3c74c7072","score":"0.59171736","text":"Item createItem(Item item);","title":""},{"docid":"8e873181cda57e564ed33da90ae864c5","score":"0.5881088","text":"ItemSpecies createItemSpecies();","title":""},{"docid":"e91ca500f4435cda62f634f28c052c19","score":"0.5862086","text":"private String createItem() throws Exception {\r\n \r\n // create an item and save the id\r\n String xmlData =\r\n EscidocAbstractTest.getTemplateAsString(TEMPLATE_ITEM_PATH + \"/rest/\", \"escidoc_item_198_for_create.xml\");\r\n \r\n String theItemXml = handleXmlResult(getItemClient().create(xmlData));\r\n return getObjidValue(theItemXml);\r\n }","title":""},{"docid":"e43bce4009cd4f5a7f4af106f5fa8259","score":"0.5706345","text":"@Test(groups = { \"setup\", \"database\", \"couch\" })\n public void createSuitabilityScenarioTest() throws Exception {\n\n SuitabilityScenario suitabilityScenario = new SuitabilityScenario();\n suitabilityScenario.setLabel(suitabilityScenarioLabel);\n LOGGER.debug(\"docType: \" + suitabilityScenario.getDocType());\n LOGGER.debug(\"project uuid: \" + newProjectId);\n suitabilityScenario.setProjectId(newProjectId);\n SuitabilityScenario createdSuitabilityScenario = suitabilityScenarioDao\n .persistSuitabilityScenario(suitabilityScenario);\n LOGGER.debug(\"createdSuitabilityScenario uuid: \"\n + createdSuitabilityScenario.getId());\n newId = createdSuitabilityScenario.getId();\n Assert.assertNotNull(newId);\n }","title":""},{"docid":"43708552d5de5a0c9c9fcef1cebf37f5","score":"0.55363834","text":"@Test\n\tpublic void TC052PMVE_26(){\n\t\tresult.addLog(\"ID : TC052PMVE_26 : Verify that the 'Add Custom Image' item is hidden when user selects 'Use Parent's Images'\");\n\t\t/*\n\t\tPre-condition: Partner user has \"Add and manage accessories\" rights.\n\n\t\t1. Log into DTS portal as a partner admin\n\t\t2. Navigate to \"Accessories\" page\n\t\t3. Select an accessory from accessories table\n\t\t4. Verify that the 040P Accessory Detail page is displayed\n\t\t5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\tVP. Verify that the 052P Model Variant Edit page is displayed.\n\t\t6. Click \"Upload Custom Images\" link\n\t\tVP. Verify that the \"Add Tuning File\" item is displayed.\n\t\t7. Tick to check the \"Use Parent's Images\" checkbox.\n\t\t */\n\t\t// 2. Navigate to \"Accessories\" page\n\t\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\n\t\t// 3. Create new product successfully\n\t\thome.click(AccessoryMain.ADD_ACCESSORY);\n\t\tHashtable<String,String> data = TestData.accessoryDraft();\n\t\thome.addAccessoriesPartner(AddAccessory.getHash(), data);\n\t\t//VP: Verify that the product info page is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AccessoryInfo.TITLE_NAME));\n\t\t//5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\thome.click(AccessoryInfo.ADD_VARIANT);\n\t\t//VP: verify that the add variant screen is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.TITLE));\n\t\t//7. Select the \"Use Custom Images\" checkbox.\n\t\thome.click(AddVariant.UPLOAD_CUSTOM_IMAGE);\n\t\t// VP: Verify that the upload custom image section is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_250));\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_500));\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_1000));\n\t\t//8. Select \"Use Parent's Images\" option\n\t\thome.click(AddVariant.PARENT_IMAGE_CHECKBOX);\n\t\t//VP: Verify that three size of adding custom image is hidden\n\t\tAssert.assertFalse(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_250));\n\t\tAssert.assertFalse(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_500));\n\t\tAssert.assertFalse(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_1000));\n\t\t\n\t\t//Teardown: Delete product\n\t\thome.deleteAnaccessorybyName(data.get(\"name\"));\n\t}","title":""},{"docid":"60aa016b89e8d82b850491bbca39df18","score":"0.5531226","text":"@Test\n public void testAddItem() throws Exception {\n System.out.println(\"addItem\");\n Orcamentoitem item = null;\n Orcamentoitem expResult = null;\n Orcamentoitem result = instance.addItem(item);\n assertEquals(expResult, result);\n }","title":""},{"docid":"7b6d779c67b74b937c0487944409ae32","score":"0.5502636","text":"@Test\r\n\tpublic void additem() {\n\t\t\t\tString item = COAS.retrieveAllItem(itemList);\r\n\t\t\t\tString testOutput = \"\";\r\n\t\t\t\tassertSame(\"test that able to viewAllItems\", testOutput, item);\r\n\t\t\t\t\r\n\t\t\t\tCOAS.additem(itemList, item1);\r\n\t\t\t\tCOAS.additem(itemList, item2);\r\n\t\t\t\t\r\n\t\t\t\t//normal\r\n\t\t\t\tassertNotNull(\"test if it is a valid item name\", itemList);\r\n\t\t\t\t//error\r\n\t\t\t\tassertNotNull(\"test if it is an invalid item name\", itemList);\r\n\t\t\t\t\r\n\t\t\t\t//normal\r\n\t\t\t\tassertSame(\"Test that item1 is added\", item1, itemList.get(0));\r\n\t\t\t\tassertSame(\"Test that item2 is added\", item2, itemList.get(1));\r\n\r\n\t}","title":""},{"docid":"0ec4188807cc21e8069a4c45e26eac7e","score":"0.5479687","text":"@Test\n public void createNewNote() {\n\n ActivityTestRule<NoteListActivity> mNoteListActivityRule=new ActivityTestRule<>(NoteListActivity.class);\n mNoteListActivityRule.launchActivity(new Intent());\n\n final CourseInfo course=sDataManager.getCourse(\"java_lang\");\n final String noteTitle=\"Test note tile\";\n final String noteText=\"This is the body of our test note\";\n\n onView(withId(R.id.fab)).perform(click());\n\n onView(withId(R.id.spinner_courses)).perform(click());\n onData(allOf(instanceOf(CourseInfo.class),equalTo(course))).perform(click());\n onView(withId(R.id.text_note_title)).perform(typeText(noteTitle));\n onView(withId(R.id.text_note_text)).perform(typeText(noteText),\n closeSoftKeyboard());\n\n pressBack();\n }","title":""},{"docid":"fae7e5d90a354b636e05e4898d89be37","score":"0.54593533","text":"public boolean addAssessment(AssessmentObject item);","title":""},{"docid":"3c665ec26481ed9a720d799c051bc7e7","score":"0.54526436","text":"@Test\n public void testCreateApp() {\n App newApp = null;\n try {\n newApp =\n new App(\"NewAppCreateTest\", \"iOS\", \"NewApp Short Description\", \"0.1\",\n \"This is a long Description\", \"www.here.itis\");\n Artifact thumbnail = new Artifact(\"thumbnail\", \"some.picture.url\");\n newApp.addArtifact(thumbnail);\n Response response =\n target.path(\"apps\").request()\n .header(\"accessToken\", OIDCAuthentication.OPEN_ID_TEST_TOKEN)\n .post(entity(newApp, MediaType.APPLICATION_JSON));\n assertEquals(HttpStatusCode.CREATED, response.getStatus());\n MediaType responseMediaType = response.getMediaType();\n assertEquals(MediaType.APPLICATION_JSON, responseMediaType.toString());\n String responseContent = response.readEntity(String.class);\n ObjectMapper mapper = new ObjectMapper();\n JsonNode retrievedApp;\n retrievedApp = mapper.readTree(responseContent);\n assertTrue(!retrievedApp.isNull());\n assertEquals(newApp.getName(), retrievedApp.get(\"name\").asText());\n } catch (Exception e) {\n e.printStackTrace();\n fail(\"JSON parsing failed with \" + e.getMessage());\n } finally {\n LOGGER.info(\"Deleting created app data...\");\n entityFacade.deleteByParam(App.class, \"name\", \"NewAppCreateTest\");\n LOGGER.info(\"App data deleted.\");\n }\n }","title":""},{"docid":"a9d62fb062b4657faaf04a9c0aea5412","score":"0.5427323","text":"@Test\n\tpublic void TC052PMVE_23(){\n\t\tresult.addLog(\"ID : TC052PMVE_23 : Verify that the 'Add Custom Image' item is displayed with 'drag and drop' area and 'Select File' button when clicking on 'Upload Custom Images' link.\");\n\t\t/*\n\t\tPre-condition: Partner user has \"Add and manage Products\" rights.\n\t\t\n\t\t1. Log into DTS portal as a partner admin\n\t\t2. Navigate to \"Accessories\" page\n\t\t3. Select an product from Products table\n\t\t4. Verify that the 040P product Detail page is displayed\n\t\t5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\tVP. Verify that the 052P Model Variant Edit page is displayed.\n\t\t6. Click \"Upload Custom Images\" link\n\t\t */\n\t\t// Navigate to Product page\n\t\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\n\t\t// 3. Select an accessory from accessories table\n\t\thome.selectAnAccessory();\n\t\t// 4. Verify that the 040P Accessory Detail page is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AccessoryInfo.TITLE_NAME));\n\t\t// 5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\thome.click(AccessoryInfo.ADD_VARIANT);\n\t\t// VP: Verify that the 052P Model Variant Edit page is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.TITLE));\t\n\t\t//6. Click \"Upload Custom Images\" link\n\t\thome.click(AddVariant.UPLOAD_CUSTOM_IMAGE);\n\t\t// Verify that the \"Add Custom Image\" item is displayed with \"drag and drop\" area and \"Select File\" button when clicking on \"Upload Custom Images\" link.\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_250));\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_500));\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_1000));\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.IMAGE250_DRAG_DROP_AREA));\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.IMAGE500_DRAG_DROP_AREA));\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.IMAGE1000_DRAG_DROP_AREA));\n\t\t\n\t}","title":""},{"docid":"1066d48436afb1b1948bea93b065ee41","score":"0.5404645","text":"@Test\r\tpublic void itShouldCreateAnAssortment() {","title":""},{"docid":"53deafc1348e2e669271ac7079a3ea24","score":"0.54025924","text":"public static void createFramework() throws Exception {\n\t\tString fwHierarchy = \"{\\\"categories\\\":[{\\\"identifier\\\":\\\"ncftest_medium\\\",\\\"code\\\":\\\"medium\\\",\\\"terms\\\":[{\\\"identifier\\\":\\\"ncftest_medium_english\\\",\\\"code\\\":\\\"english\\\",\\\"name\\\":\\\"english\\\",\\\"description\\\":\\\"English Medium\\\",\\\"index\\\":1,\\\"category\\\":\\\"medium\\\",\\\"status\\\":\\\"Live\\\"}],\\\"name\\\":\\\"medium\\\",\\\"description\\\":\\\"Medium for NCFTEST\\\",\\\"index\\\":1,\\\"status\\\":\\\"Live\\\"},{\\\"identifier\\\":\\\"ncftest_subject\\\",\\\"code\\\":\\\"subject\\\",\\\"terms\\\":[{\\\"identifier\\\":\\\"ncftest_subject_math\\\",\\\"code\\\":\\\"math\\\",\\\"name\\\":\\\"math\\\",\\\"description\\\":\\\"Mathematics\\\",\\\"index\\\":1,\\\"category\\\":\\\"subject\\\",\\\"status\\\":\\\"Live\\\"}],\\\"name\\\":\\\"subject\\\",\\\"description\\\":\\\"Subject for NCFTEST\\\",\\\"index\\\":2,\\\"status\\\":\\\"Live\\\"},{\\\"identifier\\\":\\\"ncftest_board\\\",\\\"code\\\":\\\"board\\\",\\\"terms\\\":[{\\\"identifier\\\":\\\"ncftest_board_cbse\\\",\\\"code\\\":\\\"cbse\\\",\\\"name\\\":\\\"cbse\\\",\\\"description\\\":\\\"CBSE Board\\\",\\\"index\\\":1,\\\"category\\\":\\\"board\\\",\\\"status\\\":\\\"Live\\\"}],\\\"name\\\":\\\"board\\\",\\\"description\\\":\\\"Board for NCFTEST\\\",\\\"index\\\":3,\\\"status\\\":\\\"Live\\\"},{\\\"identifier\\\":\\\"ncftest_topic\\\",\\\"code\\\":\\\"topic\\\",\\\"terms\\\":[{\\\"identifier\\\":\\\"ncftest_topic_addition\\\",\\\"code\\\":\\\"addition\\\",\\\"name\\\":\\\"addition\\\",\\\"description\\\":\\\"Addition\\\",\\\"index\\\":1,\\\"category\\\":\\\"topic\\\",\\\"status\\\":\\\"Live\\\"}],\\\"name\\\":\\\"topic\\\",\\\"description\\\":\\\"Topics for NCFTEST\\\",\\\"index\\\":4,\\\"status\\\":\\\"Live\\\"},{\\\"identifier\\\":\\\"ncftest_gradelevel\\\",\\\"code\\\":\\\"gradeLevel\\\",\\\"terms\\\":[{\\\"identifier\\\":\\\"ncftest_gradelevel_class-1\\\",\\\"code\\\":\\\"class 1\\\",\\\"name\\\":\\\"class 1\\\",\\\"description\\\":\\\"Class 1\\\",\\\"index\\\":1,\\\"category\\\":\\\"gradeLevel\\\",\\\"status\\\":\\\"Live\\\"}],\\\"name\\\":\\\"gradeLevel\\\",\\\"description\\\":\\\"Grade Level for NCFTEST\\\",\\\"index\\\":5,\\\"status\\\":\\\"Live\\\"}]}\";\n\t\tMap<String, Object> frameworkHierarchy = mapper.readValue(fwHierarchy,\n\t\t\t\tnew TypeReference<Map<String, Object>>() {\n\t\t\t\t});\n\t\tCategoryCache.setFramework(\"NCFTEST\", frameworkHierarchy);\n\t}","title":""},{"docid":"02396a6f218f5d7e3575ec696f6797ae","score":"0.53781056","text":"@Test\n\tpublic void TC070DBEC_13() {\n\t\tcompanyControl.addLog(\"ID TC070DBEC_13 : Canbe add the brand and product on text box\");\n\t\t/*\n\t\t\t1. Navigate to DTS portal\n\t\t\t2. Log into DTS portal as a DTS user successfully\n\t\t\t3. Click \"Companies\" tab\n\t\t\t4. Click \"Add Company\" link\n\t\t\t5. Click to \"Enable\" button Licensee Device\n\t\t\t6. Navigate the ''Licensed Product'' combo box\n\t\t\tVP: Canbe add the brand and product on text box\n\t\t*/\n\t\t// 1. Navigate to DTS portal\n\t\t// 2. Log into DTS portal as a DTS user successfully\n\t\tloginControl.login(SUPER_USER_NAME, SUPER_USER_PASSWORD);\n\t\t// Create a published product\n\t\tcompanyControl.click(PageHome.linkAccessories);\n\t\tcompanyControl.click(ProductModel.ADD_PRODUCT);\n\t\tHashtable<String,String> dataProduct = TestData.productData(PARTNER_COMPANY_NAME, PARTNER_BRAND_NAME_1, true, true, true);\n\t\tproductWf.addProductAndPublish(dataProduct);\n\t\t// 3. Click \"Companies\" tab\n\t\tcompanyControl.click(PageHome.LINK_COMPANY);\n\t\t// 4. Click \"Add Company\" link\n\t\tcompanyControl.click(Companies.ADD_COMPANY);\n\t\t// 5. Click to \"Enable\" button Licensee Device\n\t\tcompanyControl.click(CompanyInfo.LICENSEE_DISABLE);\n\t\t// 6. Navigate the ''Licensed Product'' combo box\n\t\t// VP: Canbe add the brand and product on text box\n\t\tcompanyControl.inputInboxHP(CompanyInfo.LICENSE_HEADPHONE, dataProduct.get(\"name\"));\n}","title":""},{"docid":"dc6dd13fe96420aa432550c3c6f1b8df","score":"0.5321557","text":"@Test\n\tpublic void TC052PMVE_25(){\n\t\tresult.addLog(\"ID : TC052PMVE_25 : Verify that user can upload primary image file via 'Select File' button of 'Add Custom Image File' area successfully\");\n\t\t/*\n\t\t\tPre-condition: Partner user has \"Add and manage Products\" rights.\n\t\t\t1. Log into DTS portal as a partner admin\n\t\t\t2. Navigate to \"Accessories\" page\n\t\t\t3. Select an product from Products table\n\t\t\t4. Verify that the 040P product Detail page is displayed\n\t\t\t5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\t\tVP. Verify that the 052P Model Variant Edit page is displayed.\n\t\t\t6. Click \"Upload Custom Images\" link\n\t\t\tVP. Verify that the \"Add Custom Image File\" item is displayed.\n\t\t\t7. Click \"Select File\" button\n\t\t\t8. Upload an image file via dialog box\n\t\t */\n\t\t// 2. Navigate to \"Accessories\" page\n\t\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\n\t\t// 3. Create new product successfully\n\t\thome.click(AccessoryMain.ADD_ACCESSORY);\n\t\tHashtable<String,String> data = TestData.accessoryDraft();\n\t\thome.addAccessoriesPartner(AddAccessory.getHash(), data);\n\t\t//VP: Verify that the product info page is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AccessoryInfo.TITLE_NAME));\n\t\t//5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\thome.click(AccessoryInfo.ADD_VARIANT);\n\t\t//VP: verify that the add variant screen is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.TITLE));\n\t\t//6. Click \"Upload Custom Images\" link\n\t\thome.click(AddVariant.UPLOAD_CUSTOM_IMAGE);\n\t\t//VP: Verify that all three \"Select file\" link is displayed for three catalog image\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_250));\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_500));\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_1000));\n\t\t// 7. Click \"Select File\" button\n\t\t// 8. Upload an image file via dialog box\n\t\thome.uploadFile(AddVariant.SELECT_FILE_IMAGE_250, Constant.IMG_NAME[0]);\n\t\thome.uploadFile(AddVariant.SELECT_FILE_IMAGE_500, Constant.IMG_NAME[1]);\n\t\thome.uploadFile(AddVariant.SELECT_FILE_IMAGE_1000, Constant.IMG_NAME[2]);\n\t\t// VP: Three images are upload successfully.\n\t\tAssert.assertTrue(home.getTextByXpath(AddVariant.CATALOG_IMAGE_UPLOAD_MESSAGE_250).contains(AddVariant.UPLOAD_FILE_MESSSAGE[0]));\n\t\tAssert.assertTrue(home.getTextByXpath(AddVariant.CATALOG_IMAGE_UPLOAD_MESSAGE_500).contains(AddVariant.UPLOAD_FILE_MESSSAGE[0]));\n\t\tAssert.assertTrue(home.getTextByXpath(AddVariant.CATALOG_IMAGE_UPLOAD_MESSAGE_1000).contains(AddVariant.UPLOAD_FILE_MESSSAGE[0]));\n\t\t//Teardown: Delete product\n\t\thome.deleteAnaccessorybyName(data.get(\"name\"));\n\t}","title":""},{"docid":"7ca6884c99b1db988e1cdae99fb6103c","score":"0.5321284","text":"@Test\r\n\tpublic void CreateItemTest() {\n\t\tresult = ItemTable.getInstance().createitem(\"9781442668584\");\r\n\t\tassertTrue(result.equals(true));\r\n\t\t\r\n\t\tList<Item> temp = ItemTable.getInstance().getItemTable();\r\n\t\tfor (int i=0; i<temp.size(); i++) {\r\n\t\t\tif (temp.get(i).getISBN() == \"9781442668584\" && temp.get(i).getCopynumber() != \"1\") {\r\n\t\t\t\tassertTrue(temp.get(i).getCopynumber().equals(\"2\"));\r\n\t\t\t} else {\r\n\t\t\t\tif (!(temp.get(i).getCopynumber() == \"N/A\")) {\r\n\t\t\t\t\tassertTrue(temp.get(i).getCopynumber().equals(\"1\"));\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t//Cannot create 2nd copy of book with out first copy\r\n\t\tresult = ItemTable.getInstance().createitem(\"1112223334444\");\r\n\t\tassertFalse(result.equals(true));\r\n\t}","title":""},{"docid":"51d0e0477a67ceaf0872ae0eb33d8179","score":"0.5305853","text":"ItemProcess createItemProcess();","title":""},{"docid":"424f03f0226418af3ef76da0b23b7eae","score":"0.5241681","text":"@Test\n\tpublic void TC052PMVE_13(){\n\t\tresult.addLog(\"ID : TC052PMVE_13 :Verify that the Model Name with (Default) English is required when adding new accessory.\");\n\t\t/*\n\t\t\tPre-condition: Partner user has \"Add and manage Products\" rights.\n\t\t\t1. Log into DTS portal as a partner admin\n\t\t\t2. Navigate to \"Accessories\" page\n\t\t\t3. Select an product from Products table\n\t\t\t4. Verify that the 040P product Detail page is displayed\n\t\t\t5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\t\tVP. Verify that the 052P Model Variant Edit page is displayed.\n\t\t\t6. Fill valid value into all required fields but leaving Model Name empty\n\t\t\t7. Click \"Save\" link\n\t\t*/\n\t\t/*\n\t\t * PreCondition: Create new product\n\t\t */\n\t\t// Navigate to Product page\n\t\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\n\t\t// Click Add product link\n\t\thome.click(AccessoryMain.ADD_ACCESSORY);\n\t\t// Create new product\n\t\tHashtable<String,String> data = TestData.accessoryDraft();\n\t\thome.addAccessoriesPartner(AddAccessory.getHash(), data);\n\t\t/*\n\t\t * **************************************************************\n\t\t */\n\t\t// 2. Navigate to \"Accessories\" page\n\t\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\n\t\t// 3. Select an accessory from accessories table\n\t\thome.selectAnaccessorybyName(data.get(\"name\"));\n\t\t// 4. Verify that the 040P Accessory Detail page is displayed\n\t\tAssert.assertEquals(home.getTextByXpath(AccessoryInfo.TITLE_NAME), data.get(\"name\"));\n\t\t// 5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\thome.click(AccessoryInfo.ADD_VARIANT);\n\t\t// VP: Verify that the 052P Model Variant Edit page is displayed\n\t\tAssert.assertEquals(home.existsElement(PartnerAddVariant.getElementsInfo()).getResult(), \"Pass\");\t\n\t\t// 6. Fill valid value into all required fields but leaving Model Name empty\n\t\t// 7. Click \"Save\" link\n\t\tHashtable<String,String> dataVariant = TestData.variantDraft();\n\t\tdataVariant.remove(\"name\");\n\t\thome.addVariant(AddVariant.getHash(), dataVariant);\n\t\t/*\n\t\t * A warning message is displayed which notifying the model name is empty\n\t\t */\n\t\tAssert.assertTrue(home.checkMessageDisplay(\"Model name is required.\"));\n\t\t// Delete product\n\t\thome.click(AddVariant.CANCEL);\n\t\thome.doDelete(AccessoryInfo.DELETE);\n\t}","title":""},{"docid":"358ac7442ec7442201c301818268e09d","score":"0.5235394","text":"@Test\n\tpublic void createItem_AllFieldsAreValid_ItemCreated() throws Exception {\n\t\tfinal String[] definitionFiles = { \"/com/cgi/commerce/repository/pointsCardRepository.xml\" };\n\t\tlog.info(\" definitionFile[0]=\" + definitionFiles[0]);\n\n\t\t// Setup our testing configuration path\n\t\t// RH: disabled logging (last argument to false) to get rid of the\n\t\t// double logging statements\n\t\tGSATestUtils.getGSATestUtils().initializeMinimalConfigpath(CONFIG_PATH, \"/PointsCardRepository\", definitionFiles,\n\t\t\t\tDB_PROPS, null, null, null, false);\n\n\t\tboolean rollback = true;\n\n\t\tfinal TransactionDemarcation transactionDemarcation = new TransactionDemarcation();\n\t\tfinal MutableRepository repository = (MutableRepository) nucleus.resolveName(\"/PointsCardRepository\");\n\n\t\ttry {\n\t\t\t// Start a new transaction\n\t\t\ttransactionDemarcation.begin(((GSARepository) repository).getTransactionManager());\n\t\t\t// Create the item\n\t\t\tfinal MutableRepositoryItem item = repository.createItem(\"pointsCard\");\n\t\t\titem.setPropertyValue(\"number\", \"C00001\");\n\t\t\t// Persist to the repository\n\t\t\trepository.addItem(item);\n\t\t\t// Try to get it back from the repository\n\t\t\tfinal String id = item.getRepositoryId();\n\t\t\tfinal RepositoryItem item2 = repository.getItem(id, \"pointsCard\");\n\t\t\tAssert.assertNotNull(\"We did not get back the item just created from the repository.\", item2);\n\t\t\trollback = false;\n\t\t} finally {\n\t\t\t// End the transaction, roll back on error\n\t\t\tif (transactionDemarcation != null)\n\t\t\t\ttransactionDemarcation.end(rollback);\n\t\t}\n\t}","title":""},{"docid":"b11920246454e1fc876d234702998ecf","score":"0.52331805","text":"@Test\n public void testCreateNewOrderWithNewOrderItem() {\n\n Order order = orderService.create(\n MOCK_CONTRACT_VALUE,\n \"mockLicense\",\n Order.Status.NEW,\n \"orderItemName\",\n \"orderItemDescription\",\n \"orderItemType\",\n \"http://clips.vorwaerts-gmbh.de/big_buck_bunny.mp4\");\n\n //asserting on business object\n assertThat(order.getContract()).isEqualTo(MOCK_CONTRACT_VALUE);\n assertThat(order.getLicensePlate()).isEqualTo(\"mockLicense\");\n assertThat(order.getStatus()).isEqualTo(Order.Status.NEW);\n assertThat(order.getOrderItems().size()).isEqualTo(1);\n assertThat(order.getOrderItems().get(0).getMedias().size()).isEqualTo(1);\n //asserting on business object\n OrderItem firstOrderItemResult = order.getOrderItems().get(0);\n assertThat(firstOrderItemResult.getItemName()).isEqualTo(\"orderItemName\");\n assertThat(firstOrderItemResult.getDescription()).isEqualTo(\"orderItemDescription\");\n assertThat(firstOrderItemResult.getItemType()).isEqualTo(\"orderItemType\");\n assertThat(firstOrderItemResult.getStatus()).isEqualTo(OrderItem.Status.NEW);\n\n }","title":""},{"docid":"0aa65f7932fa50e3c49c0d824078bca6","score":"0.5232637","text":"@Test\n void newItem()\n {\n }","title":""},{"docid":"c82c4aef8798bed001ccad225f9affa5","score":"0.5228969","text":"@Override\r\n public void testReturnPolicy() throws Exception {\r\n Item tem = new Item();\r\n tem.setShippingTermsInDescription(false);\r\n List liship = new ArrayList();\r\n liship.add(\"CA\");\r\n tem.setShipToLocations(liship);\r\n tem.setDescription(\"Ce shi yong shang pin miao shu\");\r\n tem.setConditionID(1000);\r\n tem.setCountry(\"US\");\r\n tem.setCurrency(\"USD\");\r\n tem.setDispatchTimeMax(3);\r\n tem.setListingDuration(\"GTC\");\r\n tem.setListingType(\"FixedPriceItem\");\r\n List liPay = new ArrayList();\r\n liPay.add(\"PayPal\");\r\n tem.setPaymentMethods(liPay);\r\n tem.setPayPalEmailAddress(\"caixu23@gmail.com\");\r\n tem.setPostalCode(\"95125\");\r\n tem.setTitle(\"Ce shi yong shang pin\");\r\n tem.setSite(\"US\");\r\n tem.setSKU(\"YL987\");\r\n //tem.setQuantity(5);\r\n // StartPrice sp = new StartPrice(\"USD\",19.99);\r\n //tem.setStartPrice(sp);\r\n tem.setGetItFast(false);\r\n\r\n BuyerRequirementDetails brd = new BuyerRequirementDetails();\r\n brd.setLinkedPayPalAccount(true);\r\n brd.setShipToRegistrationCountry(false);\r\n brd.setZeroFeedbackScore(true);\r\n //brd.setMinimumFeedbackScore(-1);\r\n MaximumBuyerPolicyViolations mbpv = new MaximumBuyerPolicyViolations();\r\n mbpv.setCount(4);\r\n mbpv.setPeriod(\"Days_30\");\r\n brd.setMaximumBuyerPolicyViolations(mbpv);\r\n\r\n MaximumItemRequirements mir = new MaximumItemRequirements();\r\n mir.setMaximumItemCount(2);\r\n mir.setMinimumFeedbackScore(1);\r\n brd.setMaximumItemRequirements(mir);\r\n\r\n MaximumUnpaidItemStrikesInfo muis = new MaximumUnpaidItemStrikesInfo();\r\n muis.setCount(2);\r\n muis.setPeriod(\"Days_30\");\r\n brd.setMaximumUnpaidItemStrikesInfo(muis);\r\n\r\n VerifiedUserRequirements vur = new VerifiedUserRequirements();\r\n vur.setMinimumFeedbackScore(3);\r\n vur.setVerifiedUser(false);\r\n brd.setVerifiedUserRequirements(vur);\r\n\r\n tem.setBuyerRequirementDetails(brd);\r\n\r\n PictureDetails pd = new PictureDetails();\r\n List li = new ArrayList();\r\n li.add(\"http://i12.ebayimg.com/03/i/04/8a/5f/a1_1_sbl.JPG\");\r\n li.add(\"http://i22.ebayimg.com/01/i/04/8e/53/69_1_sbl.JPG\");\r\n li.add(\"http://i4.ebayimg.ebay.com/01/i/000/77/3c/d88f_1_sbl.JPG\");\r\n pd.setPictureURL(li);\r\n tem.setPictureDetails(pd);\r\n\r\n ReturnPolicy rp = new ReturnPolicy();\r\n rp.setReturnsWithinOption(\"Days_60\");\r\n rp.setShippingCostPaidByOption(\"Buyer\");\r\n rp.setDescription(\"Text description of return policy details\");\r\n rp.setRefundOption(\"MoneyBack\");\r\n rp.setReturnsAcceptedOption(\"ReturnsAccepted\");\r\n tem.setReturnPolicy(rp);\r\n\r\n ShippingDetails sd = new ShippingDetails();\r\n\r\n CalculatedShippingRate csr = new CalculatedShippingRate();\r\n csr.setOriginatingPostalCode(\"95125\");\r\n csr.setPackageDepth(6);\r\n csr.setPackageLength(7);\r\n csr.setPackageWidth(7);\r\n csr.setShippingPackage(\"PackageThickEnvelope\");\r\n csr.setWeightMinor(0);\r\n csr.setWeightMajor(2);\r\n sd.setCalculatedShippingRate(csr);\r\n\r\n sd.setPaymentInstructions(\"Payment must be received within 7 business days of purchase.\");\r\n SalesTax st = new SalesTax();\r\n st.setSalesTaxPercent(8.75f);\r\n st.setSalesTaxState(\"CA\");\r\n sd.setSalesTax(st);\r\n\r\n\r\n /*InternationalShippingServiceOption iss = new InternationalShippingServiceOption();\r\n iss.setShippingService(\"UPSWorldWideExpressPlus\");\r\n iss.setShippingServicePriority(2);\r\n ShippingServiceAdditionalCost ssac = new ShippingServiceAdditionalCost(\"USD\",4.00);\r\n ShippingServiceCost ssc = new ShippingServiceCost(\"USD\",4.00);\r\n iss.setShippingServiceCost(ssc);\r\n iss.setShippingServiceAdditionalCost(ssac);\r\n List liShip = new ArrayList();\r\n liShip.add(\"CA\");\r\n iss.setShipToLocation(liShip);\r\n List liss = new ArrayList();\r\n liss.add(iss);\r\n sd.setInternationalShippingServiceOption(liss);*/\r\n sd.setShippingType(\"Calculated\");\r\n\r\n ShippingServiceOptions sso = new ShippingServiceOptions();\r\n sso.setFreeShipping(true);\r\n sso.setShippingService(\"USPSPriority\");\r\n sso.setShippingServicePriority(1);\r\n //sso.setShippingServiceCost(new ShippingServiceCost(\"USD\", 1.00));\r\n //sso.setShippingServiceAdditionalCost(new ShippingServiceAdditionalCost(\"USD\", 1));\r\n ShippingServiceOptions sso2 = new ShippingServiceOptions();\r\n //sso2.setFreeShipping(false);\r\n sso2.setShippingService(\"UPSGround\");\r\n sso2.setShippingServicePriority(2);\r\n //sso2.setShippingServiceCost(new ShippingServiceCost(\"USD\", 2.00));\r\n //sso2.setShippingServiceAdditionalCost(new ShippingServiceAdditionalCost(\"USD\", 2));\r\n ShippingServiceOptions sso3 = new ShippingServiceOptions();\r\n sso3.setShippingService(\"UPSNextDay\");\r\n sso3.setShippingServicePriority(3);\r\n List lisso = new ArrayList();\r\n lisso.add(sso);\r\n lisso.add(sso2);\r\n lisso.add(sso3);\r\n sd.setShippingServiceOptions(lisso);\r\n tem.setShippingDetails(sd);\r\n\r\n\r\n ItemSpecifics is = new ItemSpecifics();\r\n NameValueList nvl = new NameValueList();\r\n nvl.setName(\"Occasion\");\r\n List livalue1 = new ArrayList();\r\n livalue1.add(\"Casual\");\r\n nvl.setValue(livalue1);\r\n List linv = new ArrayList();\r\n NameValueList nvl1 = new NameValueList();\r\n nvl1.setName(\"Brand\");\r\n List li1 = new ArrayList();\r\n li1.add(\"Ralph Lauren\");\r\n nvl1.setValue(li1);\r\n NameValueList nvl2 = new NameValueList();\r\n nvl2.setName(\"Style\");\r\n List li2 = new ArrayList();\r\n li2.add(\"Polo Shirt\");\r\n nvl2.setValue(li2);\r\n NameValueList nvl3 = new NameValueList();\r\n nvl3.setName(\"Sleeve Style\");\r\n List li3 = new ArrayList();\r\n li3.add(\"Short Sleeve\");\r\n nvl3.setValue(li3);\r\n\r\n linv.add(nvl3);\r\n linv.add(nvl2);\r\n linv.add(nvl);\r\n linv.add(nvl1);\r\n is.setNameValueList(linv);\r\n tem.setItemSpecifics(is);\r\n\r\n PrimaryCategory pc = new PrimaryCategory();\r\n pc.setCategoryID(\"37565\");\r\n tem.setPrimaryCategory(pc);\r\n\r\n Variations var = new Variations();\r\n VariationSpecificsSet vss = new VariationSpecificsSet();\r\n List livss = new ArrayList();\r\n NameValueList vssnv1 = new NameValueList();\r\n vssnv1.setName(\"Size\");\r\n List liva1 = new ArrayList();\r\n liva1.add(\"XS\");\r\n liva1.add(\"S\");\r\n liva1.add(\"M\");\r\n liva1.add(\"L\");\r\n liva1.add(\"XL\");\r\n vssnv1.setValue(liva1);\r\n\r\n NameValueList vssnv2 = new NameValueList();\r\n vssnv2.setName(\"Color\");\r\n List liva2 = new ArrayList();\r\n liva2.add(\"Black\");\r\n liva2.add(\"Pink\");\r\n liva2.add(\"Yellow\");\r\n liva2.add(\"Blue\");\r\n vssnv2.setValue(liva2);\r\n livss.add(vssnv2);\r\n livss.add(vssnv1);\r\n vss.setNameValueList(livss);\r\n var.setVariationSpecificsSet(vss);\r\n Variation vtion1 = new Variation();\r\n List vtLi = new ArrayList();\r\n vtion1.setSKU(\"RLauren_Wom_TShirt_Pnk_S\");\r\n vtion1.setStartPrice(new StartPrice(\"USD\",17.99));\r\n vtion1.setQuantity(4);\r\n VariationSpecifics vs1 = new VariationSpecifics();\r\n List vs1li = new ArrayList();\r\n List vsli = new ArrayList();\r\n NameValueList vsnvl1 = new NameValueList();\r\n vsnvl1.setName(\"Color\");\r\n List vsli1 = new ArrayList();\r\n vsli1.add(\"Pink\");\r\n vsnvl1.setValue(vsli1);\r\n vs1li.add(vsnvl1);\r\n NameValueList vsnvl2 = new NameValueList();\r\n vsnvl2.setName(\"Size\");\r\n List vsli2 = new ArrayList();\r\n vsli2.add(\"S\");\r\n vsnvl2.setValue(vsli2);\r\n vs1li.add(vsnvl2);\r\n vs1.setNameValueList(vs1li);\r\n vsli.add(vs1);\r\n vtion1.setVariationSpecifics(vsli);\r\n\r\n Variation vtion2 = new Variation();\r\n vtion2.setSKU(\"RLauren_Wom_TShirt_Pnk_M\");\r\n vtion2.setStartPrice(new StartPrice(\"USD\", 17.99));\r\n vtion2.setQuantity(8);\r\n VariationSpecifics vs2 = new VariationSpecifics();\r\n List vs22 = new ArrayList();\r\n List vs2li = new ArrayList();\r\n NameValueList vs2nvl1 = new NameValueList();\r\n vs2nvl1.setName(\"Color\");\r\n List vs2nvlli1=new ArrayList();\r\n vs2nvlli1.add(\"Pink\");\r\n vs2nvl1.setValue(vs2nvlli1);\r\n NameValueList vs2nvl2 = new NameValueList();\r\n vs2nvl2.setName(\"Size\");\r\n List vs2nvlli2=new ArrayList();\r\n vs2nvlli2.add(\"M\");\r\n vs2nvl2.setValue(vs2nvlli2);\r\n vs2li.add(vs2nvl1);\r\n vs2li.add(vs2nvl2);\r\n vs2.setNameValueList(vs2li);\r\n vs22.add(vs2);\r\n vtion2.setVariationSpecifics(vs22);\r\n\r\n Variation vtion3 = new Variation();\r\n vtion3.setSKU(\"RLauren_Wom_TShirt_Blk_S\");\r\n vtion3.setStartPrice(new StartPrice(\"USD\",20.00));\r\n vtion3.setQuantity(10);\r\n VariationSpecifics vs3 = new VariationSpecifics();\r\n List vs33 = new ArrayList();\r\n List vs3li = new ArrayList();\r\n NameValueList vs3nvl1 = new NameValueList();\r\n vs3nvl1.setName(\"Color\");\r\n List vs3nvlli1=new ArrayList();\r\n vs3nvlli1.add(\"Black\");\r\n vs3nvl1.setValue(vs3nvlli1);\r\n NameValueList vs3nvl2 = new NameValueList();\r\n vs3nvl2.setName(\"Size\");\r\n List vs3nvlli2=new ArrayList();\r\n vs3nvlli2.add(\"S\");\r\n vs3nvl2.setValue(vs3nvlli2);\r\n vs3li.add(vs3nvl1);\r\n vs3li.add(vs3nvl2);\r\n vs3.setNameValueList(vs3li);\r\n vs33.add(vs3);\r\n vtion3.setVariationSpecifics(vs33);\r\n\r\n Variation vtion4 = new Variation();\r\n vtion4.setSKU(\"RLauren_Wom_TShirt_Blk_M\");\r\n vtion4.setStartPrice(new StartPrice(\"USD\",20.00));\r\n vtion4.setQuantity(10);\r\n VariationSpecifics vs4 = new VariationSpecifics();\r\n List vs44 = new ArrayList();\r\n List vs4li = new ArrayList();\r\n NameValueList vs4nvl1 = new NameValueList();\r\n vs4nvl1.setName(\"Color\");\r\n List vs4nvlli1=new ArrayList();\r\n vs4nvlli1.add(\"Black\");\r\n vs4nvl1.setValue(vs4nvlli1);\r\n NameValueList vs4nvl2 = new NameValueList();\r\n vs4nvl2.setName(\"Size\");\r\n List vs4nvlli2=new ArrayList();\r\n vs4nvlli2.add(\"M\");\r\n vs4nvl2.setValue(vs4nvlli2);\r\n vs4li.add(vs4nvl1);\r\n vs4li.add(vs4nvl2);\r\n vs4.setNameValueList(vs4li);\r\n vs44.add(vs4);\r\n vtion4.setVariationSpecifics(vs44);\r\n\r\n Variation vtion5 = new Variation();\r\n vtion5.setSKU(\"RLauren_Wom_TShirt_Blu_S\");\r\n vtion5.setStartPrice(new StartPrice(\"USD\",20.00));\r\n vtion5.setQuantity(10);\r\n VariationSpecifics vs5 = new VariationSpecifics();\r\n List vs55 = new ArrayList();\r\n List vs5li = new ArrayList();\r\n NameValueList vs5nvl1 = new NameValueList();\r\n vs5nvl1.setName(\"Color\");\r\n List vs5nvlli1=new ArrayList();\r\n vs5nvlli1.add(\"Blue\");\r\n vs5nvl1.setValue(vs5nvlli1);\r\n NameValueList vs5nvl2 = new NameValueList();\r\n vs5nvl2.setName(\"Size\");\r\n List vs5nvlli2=new ArrayList();\r\n vs5nvlli2.add(\"S\");\r\n vs5nvl2.setValue(vs5nvlli2);\r\n vs5li.add(vs5nvl1);\r\n vs5li.add(vs5nvl2);\r\n vs5.setNameValueList(vs5li);\r\n vs55.add(vs5);\r\n vtion5.setVariationSpecifics(vs55);\r\n\r\n Variation vtion6 = new Variation();\r\n vtion6.setSKU(\"RLauren_Wom_TShirt_Blu_M\");\r\n vtion6.setStartPrice(new StartPrice(\"USD\",20.00));\r\n vtion6.setQuantity(10);\r\n VariationSpecifics vs6 = new VariationSpecifics();\r\n List vs66 = new ArrayList();\r\n List vs6li = new ArrayList();\r\n NameValueList vs6nvl1 = new NameValueList();\r\n vs6nvl1.setName(\"Color\");\r\n List vs6nvlli1=new ArrayList();\r\n vs6nvlli1.add(\"Blue\");\r\n vs6nvl1.setValue(vs6nvlli1);\r\n NameValueList vs6nvl2 = new NameValueList();\r\n vs6nvl2.setName(\"Size\");\r\n List vs6nvlli2=new ArrayList();\r\n vs6nvlli2.add(\"M\");\r\n vs6nvl2.setValue(vs6nvlli2);\r\n vs6li.add(vs6nvl1);\r\n vs6li.add(vs6nvl2);\r\n vs6.setNameValueList(vs6li);\r\n vs66.add(vs6);\r\n vtion6.setVariationSpecifics(vs66);\r\n\r\n\r\n vtLi.add(vtion1);\r\n vtLi.add(vtion2);\r\n vtLi.add(vtion3);\r\n vtLi.add(vtion4);\r\n vtLi.add(vtion5);\r\n vtLi.add(vtion6);\r\n var.setVariation(vtLi);\r\n\r\n Pictures pic = new Pictures();\r\n pic.setVariationSpecificName(\"Color\");\r\n VariationSpecificPictureSet vsps1 = new VariationSpecificPictureSet();\r\n vsps1.setVariationSpecificValue(\"Pink\");\r\n List livsp1=new ArrayList();\r\n livsp1.add(\"http://i12.ebayimg.com/03/i/04/8a/5f/a1_1_sbl.JPG\");\r\n livsp1.add(\"http://i12.ebayimg.com/03/i/04/8a/5f/a1_1_sb2.JPG\");\r\n vsps1.setPictureURL(livsp1);\r\n\r\n VariationSpecificPictureSet vsps2 = new VariationSpecificPictureSet();\r\n vsps2.setVariationSpecificValue(\"Blue\");\r\n List livsp2=new ArrayList();\r\n livsp2.add(\"http://i22.ebayimg.com/01/i/04/8e/53/69_1_sbl.JPG\");\r\n livsp2.add(\"http://i22.ebayimg.com/01/i/04/8e/53/69_1_sb2.JPG\");\r\n livsp2.add(\"http://i22.ebayimg.com/01/i/04/8e/53/69_1_sb3.JPG\");\r\n vsps2.setPictureURL(livsp2);\r\n\r\n VariationSpecificPictureSet vsps3 = new VariationSpecificPictureSet();\r\n vsps3.setVariationSpecificValue(\"Black\");\r\n List livsp3=new ArrayList();\r\n livsp3.add(\"http://i4.ebayimg.ebay.com/01/i/000/77/3c/d88f_1_sbl.JPG\");\r\n vsps3.setPictureURL(livsp3);\r\n\r\n VariationSpecificPictureSet vsps4 = new VariationSpecificPictureSet();\r\n vsps4.setVariationSpecificValue(\"Yellow\");\r\n List livsp4=new ArrayList();\r\n livsp4.add(\"http://i4.ebayimg.ebay.com/01/i/000/77/3c/d88f_1_sbl.JPG\");\r\n vsps4.setPictureURL(livsp4);\r\n List vspli = new ArrayList();\r\n vspli.add(vsps1);\r\n vspli.add(vsps2);\r\n vspli.add(vsps3);\r\n vspli.add(vsps4);\r\n pic.setVariationSpecificPictureSet(vspli);\r\n var.setPictures(pic);\r\n tem.setVariations(var);\r\n TradingItemWithBLOBs pojo = this.iTradingItem.toDAOPojo(tem);\r\n //ConvertPOJOUtil.convert(pojo,tem);\r\n\r\n TradingBuyerRequirementDetails tbrd = this.iTradingBuyerRequirementDetails.toDAOPojo(brd);\r\n iTradingBuyerRequirementDetails.saveBuyerRequirementDetails(tbrd);\r\n\r\n TradingReturnpolicy trys = this.itradingReturnpolicy.toDAOPojo(rp);\r\n this.itradingReturnpolicy.saveTradingReturnpolicy(trys);\r\n\r\n pojo.setReturnpolicyId(trys.getId());\r\n pojo.setBuyerId(tbrd.getId());\r\n\r\n this.iTradingItem.saveTradingItem(pojo);\r\n\r\n //TradingReturnpolicy tr = this.itradingReturnpolicy.toDAOPojo(rp);\r\n //this.itradingReturnpolicy.saveTradingReturnpolicy(tr);\r\n\r\n }","title":""},{"docid":"911fd47ff6478f703c901c863d5cb109","score":"0.52206826","text":"@Test\n public void missingAPP2Composite() {\n \tobrmanhelper.waitForIt(1000);\n try {\n \tobrmanhelper.createCompositeType(\"APP1.2\", \"APP1_MAIN\", null);\n } catch (IOException e) {\n fail(e.getMessage());\n }\n }","title":""},{"docid":"681464d61b3f90b3504ca2d65adb2f96","score":"0.51974297","text":"@Test\n public void testAddItem() {\n System.out.println(\"Commencing Test For Adding Products.\");\n ShoppingCart instance = new ShoppingCart();//create shopping cart object\n Product iPhone = new Product(\"iPhone 7\", 200.00);//create iphone to add\n //Product item = null;\n instance.addItem(iPhone);//add 1 item, which is iphone\n // TODO review the generated test code and remove the default call to fail.\n int result = instance.getItemCount(); //test/get the new count\n System.out.println(\"Result Is: \" + result + \" Expected Value Was: 1\");\n if (result == 1)//if cout is 1, we added 1 item passed\n System.out.println(\"Test Passed!\\n\");\n else\n {\n System.out.println(\"Test Failed.\\n\");\n fail(\"Test Failed.\");\n }\n //fail(\"The test case is a prototype.\");\n }","title":""},{"docid":"803a594a56a9da7719f79885376567cd","score":"0.5196725","text":"@Test\n\tpublic void createBeer() {\n\n\t\tfinal String name = \"Leermond Bier\";\n\t\tfinal String brand = \"Appenzeller Bier\";\n\t\tfinal long beertypeId = 22;\n\t\tfinal long breweryId = 71;\n\n\t\tfinal JSONObject newBeerJson = new JSONObject();\n\t\ttry {\n\t\t\tnewBeerJson.put(\"name\", name);\n\t\t\tnewBeerJson.put(\"brand\", brand);\n\t\t\tnewBeerJson.put(\"beertype\", beertypeId);\n\t\t\tnewBeerJson.put(\"brewery\", breweryId);\n\t\t} catch (JSONException e) {\n\t\t\tAssert.fail();\n\t\t\te.printStackTrace();\n\t\t}\n\t\tfinal String uri = Res.PUBLIC_API_URL + Res.BEER_COLLECTION;\n\t\tfinal String newBeerJSONString = postJson(uri, newBeerJson);\n\n\t\ttry {\n\t\t\tfinal JSONObject beer = new JSONObject(newBeerJSONString);\n\t\t\tAssert.assertEquals(name, beer.getString(\"name\"));\n\t\t\tAssert.assertEquals(brand, beer.getString(\"brand\"));\n\n\t\t\tAssert.assertEquals(Res.getResourceUri(new BreweryModel(breweryId)), beer.getJSONObject(\"brewery\").getString(\"uri\"));\n\t\t\tAssert.assertEquals(Res.getResourceUri(new BeertypeModel(beertypeId)), beer.getJSONObject(\"beertype\").getString(\"uri\"));\n\n\t\t} catch (JSONException e) {\n\t\t\tAssert.fail();\n\t\t\te.printStackTrace();\n\t\t} catch (NotFoundException e) {\n\t\t\tAssert.fail();\n\t\t\te.printStackTrace();\n\t\t} catch (WrongNodeTypeException e) {\n\t\t\tAssert.fail();\n\t\t\te.printStackTrace();\n\t\t}\n\t}","title":""},{"docid":"7711bdd922c8014fefd61f77dc4c4829","score":"0.51958984","text":"public abstract void setTestItem();","title":""},{"docid":"02c928d4f3fa955c5e95ff2590c3ada4","score":"0.51953256","text":"@Test\n public void testAddItem() {\n System.out.println(\"addItem\");\n Product p = new Product(\"Toy\",\"Mattel\",\"1234567890\");\n SalesTransaction instance = new SalesTransaction(\"SC001\");\n instance.addItem(p);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }","title":""},{"docid":"1193ad9ec27336969ab209cc274b2b18","score":"0.5193804","text":"@Test(expected=IllegalArgumentException.class)\n public void missingCiContentReference() throws IOException{\n contentItemFactory.createContentItem((ContentReference)null);\n }","title":""},{"docid":"c088974443e4e4cd17e4203429a18508","score":"0.5182328","text":"public void testCreate() throws Exception {\n GroupContestEligibility entity = new GroupContestEligibility();\n entity.setContestId(111);\n entity.setStudio(true);\n entity.setGroupId(222);\n ContestEligibility created = instance.create(entity);\n assertTrue(\"The created entity id should be 111\", (created.getContestId() == 111));\n assertTrue(\"The created entity id should not be 0\", (created.getId() > 0));\n }","title":""},{"docid":"ebf97b2a16f4b7f4c665f2be51391ea5","score":"0.51817805","text":"@Test\n public void addGeneralGoods() {\n manifestDialogEnterText(prepareManifestDialog(), STACKS_1, HEIGHT_1, WEIGHT_30);\n loadContainer(GENERAL_GOODS, CODE_1, WEIGHT_20, null, null);\n if (frameUnderTest instanceof CargoTextFrame) {\n String expected = START_BARS + CODE_1 + END_BARS + NEW_LINE;\n assertEquals(expected, testFrame.textBox(CARGO_TEXT_AREA).text());\n }\n }","title":""},{"docid":"3571e969b71a081b1f962dbd96fcb556","score":"0.51783955","text":"public void test_create_2() throws Exception {\r\n \tProjectPayment obj = new ProjectPayment();\r\n \tobj.setAmount(null);\r\n \tobj.setCreateDate(new Date());\r\n \tobj.setPactsPaymentId(1L);\r\n \t\r\n \tobj.setProjectPaymentType(paymenttype);\r\n \tobj.setResourceId(1L);\r\n \tobj.setSubmissionId(2L);\r\n try {\r\n instance.create(obj, \"testOperator\");\r\n fail(\"ProjectPaymentValidationException expected.\");\r\n } catch (ProjectPaymentValidationException iae) {\r\n //good\r\n }\r\n }","title":""},{"docid":"671fa317e292cf0519edfbd6b53a50e6","score":"0.515457","text":"public void test_create_3() throws Exception {\r\n \tProjectPayment obj = new ProjectPayment();\r\n \tobj.setAmount(new BigDecimal(-1));\r\n \tobj.setCreateDate(new Date());\r\n \tobj.setPactsPaymentId(1L);\r\n \t\r\n \tobj.setProjectPaymentType(paymenttype);\r\n \tobj.setResourceId(1L);\r\n \tobj.setSubmissionId(2L);\r\n try {\r\n instance.create(obj, \"testOperator\");\r\n fail(\"ProjectPaymentValidationException expected.\");\r\n } catch (ProjectPaymentValidationException iae) {\r\n //good\r\n }\r\n }","title":""},{"docid":"fa48771f478b9df3bf7c11a1b5c53b4d","score":"0.5152127","text":"@Test\n\tpublic void createScenarioWithFlowControl() throws Exception {\n\t\tFile f = new File(ScenariosManager.getInstance().getScenariosDirectoryFiles(),\"scenarios/ApiScenarioWithFor.xml\");\n\t\tf.delete();\n\t\t\n\t\tScenario s = new Scenario(ScenariosManager.getInstance().getScenariosDirectoryFiles(),\"scenarios/ApiScenarioWithFor\");\n\t\tAntForLoop loop = new AntForLoop();\n\t\tloop.setLoopValuesList(\"1;2;3;4\");\n\t\tRunnerTest t1 = new RunnerTest(\"com.aqua.services.multiuser.TestParametersExample\",\"testPing\");\n\t\tRunnerTest t2 = new RunnerTest(\"com.aqua.services.junit4.JUnit4Example\",\"myTestMethod\");\n\t\tloop.addTest(t1);\n\t\tloop.addTest(t2);\n\t\ts.addTest(loop);\n\t\ts.save();\n\t}","title":""},{"docid":"a580edcd454981e1bf918d3f6861511d","score":"0.5147721","text":"@Test\n public void AddBudgetItemTest() {\n onView(allOf(withId(R.id.AddBudgetItemButton), isDisplayed())).perform(click());\n\n /* pick date in addBudgetItemWindowDateEditText */\n onView(withId(R.id.addBudgetItemWindowDateEditText)).perform(click());\n int year = LocalDate.now().getYear();\n int monthOfYear = LocalDate.now().getMonthValue();\n int dayOfMonth = LocalDate.now().getDayOfMonth();\n onView(allOf(withClassName(Matchers.equalTo(DatePicker.class.getName())), isDisplayed())).\n perform(PickerActions.setDate(year, monthOfYear, dayOfMonth));\n\n /* click ok button in the datePicker */\n onView(withId(android.R.id.button1)).perform(click());\n\n /* write value to addBudgetItemWindowValueEditText */\n Random random = new Random();\n DecimalFormat decimalFormat = new DecimalFormat();\n decimalFormat.setMaximumFractionDigits(2);\n String value = decimalFormat.format(random.nextFloat() * 500);\n onView(withId(R.id.addBudgetItemWindowValueEditText)).perform(typeText(value));\n\n /* click on addBudgetItemWindowDoneButton */\n onView(allOf(withId(R.id.addBudgetItemWindowDoneButton), isDisplayed())).perform(click());\n\n /* check if the added item is displayed */\n DateTimeFormatter dateTimeFormatter = DateTimeFormatter.ofPattern(\"dd/MM/yyyy\");\n String date = LocalDate.now().format(dateTimeFormatter);\n onView(allOf(withId(R.id.budgetRecyclerView), isDisplayed())).perform(RecyclerViewActions.scrollTo\n (allOf(hasDescendant(withText(date)), hasDescendant(withText(containsString(value))))));\n onView(allOf(withId(R.id.budgetRecyclerView), isDisplayed())).check(matches(allOf(hasDescendant(withText(date)),\n hasDescendant(withText(containsString(value))))));\n }","title":""},{"docid":"1b80c7c9164b1fbf9f48cde35c626556","score":"0.51451796","text":"@Override\r\n public ItemEntity createItem(String rfId, String status, String remarks, RetailerEntity retailerId) {\r\n itemEN = new ItemEntity();\r\n\r\n itemEN.setRfId(Long.valueOf(rfId));\r\n itemEN.setRemarks(remarks);\r\n itemEN.setStatus(status);\r\n itemEN.setRetailer(retailerId);\r\n\r\n em.persist(itemEN);\r\n em.flush();\r\n\r\n return itemEN;\r\n }","title":""},{"docid":"9be4a13def0d3b082623d1617c4d9311","score":"0.514049","text":"@Test(description = \"positive test with add of a parent\")\n public void t8b_positiveTestParentAdded()\n throws Exception\n {\n this.createNewData(\"Test\")\n .defData(\"derived\", new InterfaceData(this, \"Test Parent 1\"))\n .create()\n .defData(\"derived\", new InterfaceData(this, \"Test Parent 2\"))\n .createDependings()\n .update(\"\")\n .checkExport();\n }","title":""},{"docid":"13054025d72ea16cf3c6631b5a220008","score":"0.513555","text":"@Test(priority = 6,enabled =false)\n\tpublic void industryType() {\n\t\tcreateproject.selectIndustry();\n\n\t}","title":""},{"docid":"43c6ed3906305ce1063b5017542525af","score":"0.5132986","text":"@Test(priority=4, dataProvider=\"getCreateProductTestData\")\r\n\t\tpublic void verifyCreationOfNewProduct(String fName, String prodId, String desc, String consentTerms, String keyMessage) throws IOException, InterruptedException{\r\n\t\t\t\r\n\t\t\tclickOn(driver, ProductPage.btnAddProduct, TestUtil.EXPLICIT_WAIT);\r\n\t\t\tThread.sleep(5000);\r\n\t\t\tdriver.navigate().refresh();\r\n\t\t\tdriver.switchTo().frame(\"contentIFrame0\");\r\n\t\t\tSystem.out.println(\"inside frame\");\r\n\t\t\tThread.sleep(6000);\r\n\t\t\tclickOn(driver, ProductPage.tf1Name, TestUtil.EXPLICIT_WAIT);\r\n\t\t\tProductPage.tfName.clear();\r\n\t\t ProductPage.tfName.sendKeys(fName);\r\n\t\t\t\r\n\t\t clickOn(driver, ProductPage.tf1ProductId, TestUtil.EXPLICIT_WAIT);\r\n\t\t ProductPage.tfProductId.clear();\r\n\t\t ProductPage.tfProductId.sendKeys(prodId);\r\n\t\t \r\n\t\t clickOn(driver, ProductPage.tf1Description, TestUtil.EXPLICIT_WAIT);\r\n\t\t ProductPage.tfDescription.clear();\r\n\t\t ProductPage.tfDescription.sendKeys(desc);\r\n\t\t \r\n/*\t\t clickOn(driver, ProductPage.tf1ConsentTerms, TestUtil.EXPLICIT_WAIT);\r\n\t\t ProductPage.tfConsentTerms.clear();\r\n\t\t ProductPage.tfConsentTerms.sendKeys(consentTerms);*/\r\n\t\t\r\n\t\t driver.switchTo().defaultContent();\r\n\t\t Save();\r\n\r\n\t\t \r\n\t\t}","title":""},{"docid":"d096416295e9d92a3d3798d6e3b0c104","score":"0.51329476","text":"@Before\r\n\tpublic void createDryItem() throws StockException{\r\n\t\tapple = new Item(\"apple\", 1.2, 2.3, 3, 4);\r\n\t\tbanana = new Item(\"banana\", 6.7, 7.8, 8, 9, 10.1);\r\n\t}","title":""},{"docid":"bc2863a506863400cfe99a644698e49c","score":"0.5130527","text":"@Test\r\n\tpublic void testCheckRequiredItemFieldOnItemName() {\t\t\r\n\t\tassertFalse(myAuction.checkRequiredItemFields(myItem1));\t\r\n\t}","title":""},{"docid":"c0795450c37f95e1916510b6dea6ab83","score":"0.51304483","text":"public void test_create_7() throws Exception {\r\n \tProjectPayment obj = new ProjectPayment();\r\n \tobj.setAmount(new BigDecimal(1));\r\n \tobj.setCreateDate(new Date());\r\n \tobj.setPactsPaymentId(1L);\r\n \tobj.setResourceId(1L);\r\n \tobj.setSubmissionId(2L);\r\n try {\r\n instance.create(obj, \"testOperator\");\r\n fail(\"ProjectPaymentValidationException expected.\");\r\n } catch (ProjectPaymentValidationException iae) {\r\n //good\r\n }\r\n }","title":""},{"docid":"598b2aece855e3185b09c09f3d1dbb11","score":"0.5130191","text":"@Test\n\tpublic void addItemsTest(){\n\t\tif(ams.connect(\"root\", \"(Ad727363)\")){\n\t\t\tSystem.out.println(\"You entered valid credentials.\");\n\t\t}\n\t\telse{\n\t\t\tSystem.out.println(\"Unable to connect.\");\n\t\t}\n\n\t\tcon = (Connection) ams.getConnection();\n\t\tManagerTransactions c = new ManagerTransactions(con);\n\t\tItem i = new Item(con);\n\t\t\n\t\t// when\n\t\tSystem.out.println(c.addItems(1, 10, (float) 17.99));\n\t\t// then\n\t\ti.displayAllItems();\n\t}","title":""},{"docid":"a4f1967e779ae4e803b5198a5ca87ff6","score":"0.51255864","text":"@Test\n\tpublic void whenAddItemThenItMustBeAdded() {\n\t\tTracker tracker = new Tracker(new UserStore());\n\t\tItem expected = new Item(\"test1\", \"testDesc\", 123L);\n\t\ttracker.add(expected);\n\t\tassertThat(tracker.findAll().get(0), is(expected));\n\t}","title":""},{"docid":"ebd199a73d902078696a62b6d3e4cbba","score":"0.51161087","text":"@Before\r\n public void setUp() throws Exception {\r\n this.path += \"/rest\";\r\n \r\n this.theItemId = createItem();\r\n String xmlData = EscidocAbstractTest.getTemplateAsString(this.path, \"create_container_v1.1-forItem.xml\");\r\n \r\n theContainerXml = create(xmlData.replaceAll(\"##ITEMID##\", theItemId));\r\n this.theContainerId = getObjidValue(this.theContainerXml);\r\n }","title":""},{"docid":"32483e5788d67efb1eaf513b1cdca78b","score":"0.511212","text":"public void test() throws UiObjectNotFoundException {\n getUiDevice().takeScreenshot(new File(\"/sdcard/uiautomator-screenshots/start-screen.png\"));\n\n // Open the app\n getUiDevice().pressHome();\n UiObject allApps = new UiObject(new UiSelector().description(\"Apps\"));\n allApps.clickAndWaitForNewWindow();\n getUiDevice().takeScreenshot(new File(\"/sdcard/uiautomator-screenshots/app-screen.png\"));\n\n UiObject deviceSurveyApp = new UiObject(new UiSelector().className(\"android.widget.TextView\").textContains(\"Device Surveyor\"));\n deviceSurveyApp.clickAndWaitForNewWindow();\n getUiDevice().takeScreenshot(new File(\"/sdcard/uiautomator-screenshots/survey-screen.png\"));\n\n // Submit device report\n UiObject submitButton = new UiObject(new UiSelector().className(\"android.widget.Button\").textContains(\"SUBMIT\"));\n submitButton.clickAndWaitForNewWindow();\n\n UiObject yesButton = new UiObject(new UiSelector().className(\"android.widget.Button\").textContains(\"Yes\"));\n yesButton.clickAndWaitForNewWindow();\n\n UiObject result = new UiObject(new UiSelector().className(\"android.widget.TextView\").textContains(\"Successfully submitted\"));\n assertTrue(\"Unsuccessful submission\", result.exists());\n }","title":""},{"docid":"66539e0967a85e2b969ec4b3e5466ca6","score":"0.51030785","text":"@Test\n void testCreate() throws NameValidationException, NonUniqueItemException, NotFoundException,\n FlightInvalidException, FlightSectionValidationException, IllegalAccessException {\n SystemManager sm = new SystemManager();\n createData(sm,\"blu\", \"bla\", \"ble\", \"blo\");\n /* assert there are two static Airlines + the one created in this test */\n assertEquals(sm.airlines.size(), 2);\n\n /* assert there are three static Airports + the one created in this test */\n assertEquals(sm.airports.size(), 2);\n\n /* assert there are three static Flights + the one created in this test */\n assertEquals(sm.flights.size(), 2);\n sm.displaySystemDetails();\n }","title":""},{"docid":"0629b6fad4cd25ec75867f77086eccf6","score":"0.51024413","text":"@Test\n public void testGetItem() throws Exception {\n item.setItemId(\"A1\");\n item.setItemName(\"snickers\");\n item.setItemCost(new BigDecimal(\"1.00\"));\n item.setItemQty(1);\n }","title":""},{"docid":"b717db24e3ef3e678eadea73bead5f15","score":"0.51014507","text":"@Test\n\tpublic void testAddItemOne() {\n\t\tCategory cat = new Category(\"HW\", 10);\n\t\tcat.addItem(new Item(\"HW1\", new Date()));\n\t\tassertEquals(\"HW1\", cat.getItemList().get(0).getName());\n\t}","title":""},{"docid":"733b361c7ae6cd7c7b40a95451ea5841","score":"0.5087725","text":"@Test\n public void testPurchaseItem() throws Exception {\n item.setItemId(\"A1\");\n item.setItemName(\"snickers\");\n item.setItemCost(new BigDecimal(\"1.00\"));\n item.setItemQty(1);\n \n item.purchaseItem();\n assertEquals(1, item.purchaseItem());\n }","title":""},{"docid":"b699ffe9732d94fee95b4714d6020fe9","score":"0.50866854","text":"@Test\r\n\tpublic void testCheckRequiredItemFieldsOnPostiveMinimumBids() {\t\t\t\r\n\t\tItem itemTest = new Item(\"Football\", \"good\", \"small\", 1, \"Bill and Melinda Gates\", \r\n\t\t\t\t\"Really cool football\", \"hello\");\r\n\t\t\r\n\t\tassertTrue(myAuction.checkRequiredItemFields(itemTest));\r\n\t}","title":""},{"docid":"d859f9699cd2dcdc12bb87c2a83970f1","score":"0.50606346","text":"@Test\n\tpublic void TC052PMVE_35(){\n\t\tresult.addLog(\"ID : TC052PMVE_35 : Verify that the marketing material file could be uploaded successfully via 'Select File' button\");\n\t /*\n\t\tPre-condition: Partner user has \"Add and manage accessories\" rights.\n\t\t1. Log into DTS portal as a partner admin\n\t\t2. Navigate to \"Accessories\" page\n\t\t3. Select an accessory from accessories table\n\t\t4. Verify that the 040P Accessory Detail page is displayed\n\t\t5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\tVP. Verify that the 052P Model Variant Edit page is displayed.\n\t\t6. Click \"Upload Custom Images\" link\n\t\tVP. Verify that the \"Add Custom Image File\" is displayed.\n\t\t7. Upload three size of image successfully\n\t\t8. Click \"Select File\" in Marketing Material section\n\t\t9. Select a file to upload\n\t\t*/\n\t\t\n\t\t// 2. Navigate to \"Accessories\" page\n\t\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\n\t\t// 3. Select an accessory from accessories table\n\t\thome.selectAnAccessory();\n\t\t// 4. Verify that the 040P Accessory Detail page is displayed\n\t\tAssert.assertEquals(home.existsElement(PartnerAccessoryInfo.getElementsInfo()).getResult(), \"Pass\");\n\t\t// 5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\thome.click(PartnerAccessoryInfo.ADD_VARIANT);\n\t\t/*\n\t\t * VP. Verify that the 052P Model Variant Edit page is displayed\n\t\t */\n\t\tAssert.assertEquals(home.existsElement(PartnerAddVariant.getElementsInfo()).getResult(), \"Pass\");\n\t\t// 6. Click \"Upload Custom Images\" link\n\t\thome.click(PartnerAddVariant.UPLOAD_CUSTOM_IMAGE);\n\t\t/*\n\t\t * VP. Verify that the \"Add Custom Image File\" is displayed\n\t\t */\n\t\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_250);\n\t\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_500);\n\t\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_1000);\n\t\t// 7. Upload three size of image successfully\n\t\thome.uploadFile(PartnerAddVariant.SELECT_FILE_IMAGE_250, PartnerAddVariant.IMG_NAME[0]);\n\t\thome.uploadFile(PartnerAddVariant.SELECT_FILE_IMAGE_500, PartnerAddVariant.IMG_NAME[1]);\n\t\thome.uploadFile(PartnerAddVariant.SELECT_FILE_IMAGE_1000, PartnerAddVariant.IMG_NAME[2]);\n\t\t// 8. Click \"Select File\" in Marketing Material section\n\t\t// 9. Select a file to upload\n\t\thome.uploadFile(PartnerAddVariant.ADD_MARKETING, Constant.AUDIO_ROUTE_FILE);\n\t\t/*\n\t\t * Verify that New marketing material file is uploaded successfully\n\t\t */\n\t\tAssert.assertTrue(home.isMarketingUploaded(PartnerAddVariant.MARKETING_FILE_CONTAINER, Constant.AUDIO_ROUTE_FILE));\n\t}","title":""},{"docid":"24967a9aa7ba50a1285e25a2df4017b5","score":"0.50588465","text":"com.eviware.soapui.junit.Testcase addNewTestcase();","title":""},{"docid":"ed32ae1b6a08abcc7645b95166085ffa","score":"0.5055256","text":"@Test\n\tpublic void TC052PMVE_27(){\n\t\tresult.addLog(\"ID : TC052PMVE_27 : Verify that the Delete Custom Image confirmation dialog is displayed when the 'Use Parent's Images' is checked after the custom image file has been uploaded successfully\");\n\t\t/*\n\t\t Pre-condition: Partner user has \"Add and manage accessories\" rights.\n\t\t 1. Log into DTS portal as a partner admin \n\t\t 2. Navigate to \"Accessories\" page \n\t\t 3. Select an accessory from accessories table \n\t\t 4. Verify that the 040P Accessory Detail page is displayed \n\t\t 5. Click \"Add New Variant\" link from \"Model Actions\" module \n\t\t VP. Verify that the 052P Model Variant Edit page is displayed. \n\t\t 6. Click \"Upload Custom Images\" link \n\t\t VP. Verify that the \"Add Custom Image File\" is displayed. \n\t\t 7. Upload an image file \n\t\t VP: Verify that the image is uploaded successfully. \n\t\t 8. Tick to check the \"Use Parent's Images\" checkbox.\n\t\t */\n\t\t\n\t\t// 2. Navigate to \"Accessories\" page \n\t\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\n\t\t// 3. Select an accessory from accessories table\n\t\thome.selectAnAccessory();\n\t\t// 4. Verify that the 040P Accessory Detail page is displayed \n\t\tAssert.assertEquals(home.existsElement(PartnerAccessoryInfo.getElementsInfo()).getResult(), \"Pass\");\n\t\t// 5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\thome.click(AccessoryInfo.ADD_VARIANT);\n\t\t/*\n\t\t * VP. Verify that the 052P Model Variant Edit page is displayed\n\t\t */\n\t\tAssert.assertEquals(home.existsElement(PartnerAddVariant.getElementsInfo()).getResult(), \"Pass\");\n\t\t// 6. Click \"Upload Custom Images\" link \n\t\thome.click(PartnerAddVariant.UPLOAD_CUSTOM_IMAGE);\n\t\t/*\n\t\t * VP. Verify that the \"Add Custom Image File\" is displayed\n\t\t */\n\t\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_250);\n\t\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_500);\n\t\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_1000);\n\t\t// 7. Upload an image file \n\t\thome.uploadFile(PartnerAddVariant.SELECT_FILE_IMAGE_250, PartnerAddVariant.IMG_NAME[0]);\n\t\t/*\n\t\t * VP: Verify that the image is uploaded successfully\n\t\t */\n\t\tAssert.assertTrue(home.isElementPresent(driver.findElement(By.xpath(PartnerAddVariant.IMAGE250_DISPLAY)).findElement(By.tagName(\"img\"))));\n\t\t// 8. Tick to check the \"Use Parent's Images\" checkbox\n\t\thome.click(PartnerAddVariant.PARENT_IMAGE_CHECKBOX);\n\t\t/*\n\t\t * Verify that The Delete Images confirmation dialog is displayed\n\t\t */\n\t\tString message = \"Use Parent's Images will discard the custom files.\";\n\t\thome.checkMessageDisplay(message);\n\t}","title":""},{"docid":"6c04595d1e412bcf7a1b4a9164b1fa52","score":"0.50527644","text":"@Test\n public void testEcommerceItemE() {\n try {\n EcommerceItem item = new EcommerceItem(\"sku\", \"name\", \"category\", 1.0, 2);\n request.addEcommerceItem(item);\n fail(\"Exception should have been thrown.\");\n } catch (IllegalStateException e) {\n assertEquals(\"GoalId must be \\\"0\\\". Try calling enableEcommerce first before calling this method.\",\n e.getLocalizedMessage());\n }\n }","title":""},{"docid":"4fd27d5ee49195ff07d09c89eb9aabb7","score":"0.50527406","text":"@Test\n public void createTest() {\n String include = null;\n String name = null;\n // ApiKey response = api.create(include, name);\n\n // TODO: test validations\n }","title":""},{"docid":"22f2702bac0211bc904eb23211aaee33","score":"0.5051029","text":"@Test\n\tpublic void TC052PMVE_20(){\n\t\tresult.addLog(\"ID : TC052PMVE_20 :Verify that the language dropdown is restore to default 'Select' value and the input field is cleared when selecting the Trashcan icon.\");\n\t\t/*\n\t\t\tPre-condition: Partner user has \"Add and manage Products\" rights.\n\n\t\t\t1. Log into DTS portal as a partner admin\n\t\t\t2. Navigate to \"Accessories\" page\n\t\t\t3. Select an product from Products table\n\t\t\t4. Verify that the 040P product Detail page is displayed\n\t\t\t5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\t\tVP: Verify that the 052P Model Variant Edit page is displayed\n\t\t\t6. Select language dropdown to another item other than \"Select\"\n\t\t\t7. Type value into model name input field\n\t\t\t6. Click on Trashcan icon\n\t\t*/\n\t\t/*\n\t\t * PreCondition: Create new product\n\t\t */\n\t\t// Navigate to Product page\n\t\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\n\t\t// 3. Select an accessory from accessories table\n\t\thome.selectAnAccessory();\n\t\t// 4. Verify that the 040P Accessory Detail page is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AccessoryInfo.TITLE_NAME));\n\t\t// 5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\thome.click(AccessoryInfo.ADD_VARIANT);\n\t\t// VP: Verify that the 052P Model Variant Edit page is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.TITLE));\t\n\t\t//The Model Name language dropdown contains items: - Select -, Chinese - Simplified, Chinese - Traditional, French, German, Italian, Japanese, Korean, Russian and Spanish.\n\t\thome.selectOptionByName(AddVariant.LANGUAGE_DROPDOWN, AddVariant.LANGUAGE_LIST[1]);\n\t\thome.type(AddVariant.OTHER_LANGUAGE_NAME, \"Other language\");\n\t\thome.click(AddVariant.TRASH_ICON);\n\t\t//Verify that the language dropdown is restore to default 'Select' value and the input field is cleared when selecting the Trashcan icon\n\t\tAssert.assertEquals(home.getItemSelected(AddVariant.LANGUAGE_DROPDOWN),AddVariant.LANGUAGE_LIST[0]);\n\t\tAssert.assertFalse(home.isElementEditable(AddVariant.LANGUAGE_NAME_TEXT));\n\t\t//DTSUtil.containsAll(home.getAllComboboxOption(AddVariant.LANGUAGE_DROPDOWN), AddVariant.LANGUAGE_LIST);\n\t}","title":""},{"docid":"ed3143895ac1761296e8d24ace28db8f","score":"0.50447977","text":"ObjectiveAssessment createObjectiveAssessment();","title":""},{"docid":"b57d11cafc59f94f939c46a547d24beb","score":"0.5043284","text":"public void test_create_0() throws Exception {\r\n \tProjectPayment obj = new ProjectPayment();\r\n \tobj.setAmount(new BigDecimal(1));\r\n \tobj.setCreateDate(new Date());\r\n \tobj.setPactsPaymentId(1L);\r\n \tobj.setProjectPaymentType(new ProjectPaymentType());\r\n \tobj.setResourceId(1L);\r\n \tobj.setSubmissionId(2L);\r\n try {\r\n instance.create(obj, \"testOperator\");\r\n fail(\"ProjectPaymentValidationException expected.\");\r\n } catch (ProjectPaymentValidationException iae) {\r\n //good\r\n }\r\n }","title":""},{"docid":"674b721e4b168b6297fbbd80b7a9bd9a","score":"0.50429505","text":"@SuppressWarnings(\"unchecked\")\n\t@Test\n\tpublic void testItem_17() throws Exception {\n\t\tString request = \"{\\\"request\\\": {\\\"assessment_item\\\": {\\\"identifier\\\": \\\"\" + assessmentId\n\t\t\t\t+ \"\\\",\\\"objectType\\\": \\\"AssessmentItem\\\",\\\"metadata\\\": {\\\"code\\\": \\\"test.qtt02\\\",\\\"framework\\\":\\\"NCFTEST\\\",\\\"gradeLevel\\\":[\\\"class 1\\\"],\\\"body\\\":\\\"Test Data for body........save it in cassandra\\\", \\\"itemType\\\":\\\"UNIT\\\",\\\"category\\\":\\\"MCQ\\\",\\\"version\\\":2,\\\"name\\\": \\\"MCQ Question 2\\\",\\\"type\\\": \\\"mcq\\\",\\\"num_answers\\\": 1,\\\"template\\\": \\\"mcq_template_2\\\",\\\"template_id\\\":\\\"mcq_template_2\\\",\\\"qlevel\\\": \\\"MEDIUM\\\",\\\"owner\\\": \\\"username_1\\\",\\\"title\\\": \\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\",\\\"question\\\": \\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\",\\\"model\\\": {\\\"img\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"perimeter\\\"},\\\"img2\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"smallSquare\\\"},\\\"subtext\\\": \\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\"},\\\"options\\\": [{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&10\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"14&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"16&8\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"},\\\"score\\\": 1}],\\\"max_score\\\": 1,\\\"partial_scoring\\\": false,\\\"feedback\\\": \\\"\\\"}}}}\";\n\t\tString path = basePath + \"/update/\" + assessmentId;\n\t\tactions = mockMvc.perform(MockMvcRequestBuilders.patch(path).contentType(MediaType.APPLICATION_JSON)\n\t\t\t\t.header(\"X-Channel-Id\", \"in.ekstep\").content(request));\n\t\tAssert.assertEquals(200, actions.andReturn().getResponse().getStatus());\n\t\tpath = basePath + \"/read/\" + assessmentId;\n\t\tactions = mockMvc.perform(MockMvcRequestBuilders.get(path).contentType(MediaType.APPLICATION_JSON)\n\t\t\t\t.header(\"X-Channel-Id\", \"in.ekstep\"));\n\t\tassertEquals(200, actions.andReturn().getResponse().getStatus());\n\t\tResponse resp = getResponse(actions);\n\t\tList<String> gradeLevel = (List<String>) ((Map<String, Object>) resp.getResult().get(\"assessment_item\"))\n\t\t\t\t.get(\"gradeLevel\");\n\t\tassertEquals(\"class 1\", (String) gradeLevel.get(0));\n\t}","title":""},{"docid":"4021d25eac1302db753a05abf616c4a6","score":"0.50418556","text":"@Test(groups={\"minimumRegression\",\"Name\",\"OWS\",\"InsertClaim\"})\n\t\tpublic void insertClaim_41285() {\n\t\t\ttry {\n\t\t\t\tString testname = \"insertClaim_41285\";\n\t\t\t\tWSClient.startTest(testname, \"Verify that an error mesage is obtained with membershipId as EXTERNAL in the request\", \"minimumRegression\");\n\t\t\t\tOPERALib.setOperaHeader(OPERALib.getUserName());\n\t\t\t\tString operaProfileID=\" \";\n\t\t\t\tString resortOperaValue = OPERALib.getResort();\n\t\t\t\tString chain=OPERALib.getChain();\n WSClient.setData(\"{var_resort}\", resortOperaValue);\n WSClient.setData(\"{var_chain}\",chain);\n WSClient.setData(\"{var_chaincode}\", chain);\n \n\t\t\t\t// Creating a profile\n\t\t\t\t\n\t\t\t\t\toperaProfileID = CreateProfile.createProfile(\"DS_01\");\n\t\t\t\tif (!operaProfileID.equals(\"error\")) {\n\t\t\t\t\tWSClient.setData(\"{var_profileID}\", operaProfileID);\n\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Profile ID :\" + operaProfileID+\"</b>\");\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\tString query3 = WSClient.getQuery(\"OWSInsertClaim\",\"QS_03\");\n\t\t\t\t\t\t\n\t\t\t\t\t\tLinkedHashMap<String,String> temp3 = new LinkedHashMap<String,String>();\n\t\t\t\t\t\ttemp3=WSClient.getDBRow(query3);\n\t\t\t\t\t\t\n\t\t\t\t\t\tWSClient.setData(\"{var_nameOnCard}\", temp3.get(\"first\"));\n\t\t\t\t\t\tWSClient.setData(\"{var_memType}\",OperaPropConfig.getDataSetForCode(\"MembershipType\",\"DS_03\"));\n\t\t\t\t\t\tWSClient.setData(\"{var_memLevel}\", OperaPropConfig.getDataSetForCode(\"MembershipLevel\",\"DS_03\")); \n\t\t\t\t\t\tString createMembershipReq = WSClient.createSOAPMessage(\"CreateMembership\",\"DS_03\");\n\t\t\t String createMembershipRes = WSClient.processSOAPMessage(createMembershipReq);\n\t\t\t if (WSAssert.assertIfElementExists(createMembershipRes, \"CreateMembershipRS_Success\",\n\t\t\t\t\t\t\t\t\tfalse)) { \n\t\t\t \n\t\t\t }\n\t\t\t\t\t\t\n\t\t\t\t\t\tsetOWSHeader();\n\t\t\t\t\t\t\n\t\t\t\t\t\tString resort = OPERALib.getResort();\n\t\t\t\t\t\tString channel = OWSLib.getChannel();\n\t\t\t\t\t\tWSClient.setData(\"{var_owsresort}\", OWSLib.getChannelResort(resort, channel));\n\t\t\t\t\t\t\n\t\t\t\t\t\tquery3 = WSClient.getQuery(\"OWSInsertClaim\",\"QS_04\");\n\t\t\t\t\t\ttemp3=WSClient.getDBRow(query3);\n\t\t\t\t\t\tWSClient.setData(\"{var_memId}\", temp3.get(\"memId\"));\n\t\t\t\t\t\tWSClient.setData(\"{var_memCardNo}\", temp3.get(\"memCardNo\"));\n\t\t\t\t\t\t\n\t\t\t\t\t\t// Creating request and processing response for OWS InsertClaim Operation\n\t\t\t\t\t\tString insertClaimReq = WSClient.createSOAPMessage(\"OWSInsertClaim\", \"DS_07\");\n\t\t\t\t\t\tString insertClaimResponseXML = WSClient.processSOAPMessage(insertClaimReq);\n\t\t\t\t\t\t\n\t\t\t\t\t\t// Validating response of OWS InsertClaim Operation\n\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML,\n\t\t\t\t\t\t\t\t\"InsertClaimResponse_Result_resultStatusFlag\", true)) {\n\t\t\t\t\t\t\tif (WSAssert.assertIfElementValueEquals(insertClaimResponseXML,\n\t\t\t\t\t\t\t\t\t\"InsertClaimResponse_Result_resultStatusFlag\", \"FAIL\", false)) {\n\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"Result_Text_TextElement\", false)) {\n\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementValueEquals(insertClaimResponseXML, \"Result_Text_TextElement\", \"This instance does not support EXTERNAL MembershipID values.\", true)) {\n\t\t\t\t\t\t\t\t\t\tWSAssert.assertIfElementValueEquals(insertClaimResponseXML, \"Result_Text_TextElement\", \"This instance does not support EXTERNAL MembershipID values.\", false);\n\t\t\t\t\t\t\t\t\t}else if(WSAssert.assertIfElementContains(insertClaimResponseXML, \"Result_Text_TextElement\", \"Membership ID not valid\", false)) {\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}else {\n\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.FAIL, \"ResultFlag doesn't exist in InsertClaim Response!\");\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"Fault_faultcode\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"Fault_faultcode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>FaultCode : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"detail_fault_errorCode\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"detail_fault_errorCode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>ErrorCode : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"detail_fault_reason\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"detail_fault_reason\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Reason : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t} catch (Exception e) {\n\t\t\t\tWSClient.writeToReport(LogStatus.ERROR, \"Exception occurred in test case due to\" + e);\n\t\t\t}\n\t\t}","title":""},{"docid":"1e05d7d30358d81c6f936f5902b4b955","score":"0.50400615","text":"@Test\n public void createOrFindLiveAssessmentTest() {\n String courseId = null;\n // api.createOrFindLiveAssessment(courseId);\n\n // TODO: test validations\n }","title":""},{"docid":"c09b06b844ce73c6699162664a160f35","score":"0.5039829","text":"public void createSystemTestJobs(WorkItem workItem) {\n Config config = null;\n InputParameter inputParameter = null;\n try {\n config = Config.loadConfig(workItem, workItemService);\n\n // create input parameter\n inputParameter = createInputParameterForSystemTestJobs(workItem, config);\n\n // create xml\n String inputFileName = createFileName(workItem, config, \"-st\");\n File inputXml = createInputXml(inputFileName, inputParameter, true);\n\n if (inputXml.exists()) {\n launcher.launchJobCreator(config, inputFileName);\n\n sendSuccessMail(inputParameter);\n } else {\n // creation of input xml file failed\n throw new FileNotFoundException(\"Could not find file \" + inputXml.getName());\n }\n } catch (Exception e) {\n LOGGER.error(\"An exception occured while creating main jobs\", e);\n sendFailureMail(config, inputParameter, e);\n }\n }","title":""},{"docid":"75d21e35240c349fda0b714386695699","score":"0.50380874","text":"public void test_create_8() throws Exception {\r\n \tProjectPayment obj = new ProjectPayment();\r\n \tobj.setAmount(new BigDecimal(1));\r\n \tobj.setCreateDate(new Date());\r\n \tobj.setPactsPaymentId(1L);\r\n \t\r\n \tobj.setProjectPaymentType(paymenttype);\r\n \tobj.setSubmissionId(2L);\r\n try {\r\n instance.create(obj, \"testOperator\");\r\n fail(\"ProjectPaymentValidationException expected.\");\r\n } catch (ProjectPaymentValidationException iae) {\r\n //good\r\n }\r\n }","title":""},{"docid":"53df7cf99cb89e7e8e8f3f5086929b99","score":"0.50368273","text":"@Test(groups={\"minimumRegression\",\"Name\",\"OWS\",\"InsertClaim\"})\n\t\tpublic void insertClaim_40021() {\n\t\t\ttry {\n\t\t\t\tString testname = \"insertClaim_40021\";\n\t\t\t\tString operaProfileID=\" \";\n\t\t\t\tWSClient.startTest(testname, \"Verify that a Claim is inserted to a profile by passing valid values in mandatory fields but passing nameid invalid source.\", \"minimumRegression\");\n\t\t\t\tOPERALib.setOperaHeader(OPERALib.getUserName());\n\t\t\t\tString resortOperaValue = OPERALib.getResort();\n\t\t\t\tString chain=OPERALib.getChain();\n WSClient.setData(\"{var_resort}\", resortOperaValue);\n WSClient.setData(\"{var_chain}\",chain);\n WSClient.setData(\"{var_chaincode}\", chain);\n\t\t\t\t\n\t\t\t\t// Creating a profile\n\t\t\t\t\n\t\t\t\t\toperaProfileID = CreateProfile.createProfile(\"DS_01\");\n\t\t\t\tif (!operaProfileID.equals(\"error\")) {\n\t\t\t\t\tWSClient.setData(\"{var_profileID}\", operaProfileID);\n\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Profile ID :\" + operaProfileID+\"</b>\");\n\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\tWSClient.setData(\"{var_claimInfo}\", \"Card not issued\");\n\t\t\t\t\t\t\n\t\t\t\t\t\tsetOWSHeader();\n\t\t\t\t\t\n\t\t\t\t\t\tString resort = OPERALib.getResort();\n\t\t\t\t\t\tString channel = OWSLib.getChannel();\n\t\t\t\t\t\tWSClient.setData(\"{var_owsresort}\", OWSLib.getChannelResort(resort, channel));\n\t\t\t\t\t\t\n\t\t\t\t\t\t// Creating request and processing response for OWS InsertClaim Operation\n\t\t\t\t\t\tString insertClaimReq = WSClient.createSOAPMessage(\"OWSInsertClaim\", \"DS_03\");\n\t\t\t\t\t\tString insertClaimResponseXML = WSClient.processSOAPMessage(insertClaimReq);\n\n\t\t\t\t\t\t// Validating response of OWS InsertClaim Operation\n\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML,\n\t\t\t\t\t\t\t\t\"InsertClaimResponse_Result_resultStatusFlag\", true)) {\n\t\t\t\t\t\t\tif (WSAssert.assertIfElementValueEquals(insertClaimResponseXML,\n\t\t\t\t\t\t\t\t\t\"InsertClaimResponse_Result_resultStatusFlag\", \"SUCCESS\", false)) {\n\n\t\t\t\t\t\t\t\t// Database Validation\n\t\t\t\t\t\t\t\tLinkedHashMap<String,String> db = new LinkedHashMap<String,String>();\n\t\t\t\t\t\t\t\tLinkedHashMap<String,String> expectedValues = new LinkedHashMap<String,String>();\n\t\t\t\t\t\t\t\tLinkedHashMap<String,String> xPath = new LinkedHashMap<String,String>();\n\t\t\t\t\t\t\t\txPath.put(\"InsertClaimRequest_Profile_NameID\", \"InsertClaimRequest_Profile\");\n\t\t\t\t\t\t\t\txPath.put(\"InsertClaimRequest_Claim_ClaimInformation\", \"InsertClaimRequest_Claim\");\n\t\t\t\t\t\t\t\texpectedValues = WSClient.getSingleNodeList(insertClaimReq, xPath, false, XMLType.REQUEST);\n\t\t\t\t\t\t\t\tString query = WSClient.getQuery(\"QS_01\");\n\t\t\t\t\t\t\t\tdb = WSClient.getDBRow(query);\n\t\t\t\t\t\t\t\tWSAssert.assertEquals(expectedValues,db,false);\n\t\t\t\t\t\t\t}else {\t\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"Result_Text_TextElement\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"Result_Text_TextElement\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>The error displayed in the InsertClaim response is :\"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"InsertClaimResponse_Result_OperaErrorCode\", true)) {\n\t\t\t\t\t\t\t\t\t\tString operaErrorCode=WSAssert.getElementValue(insertClaimResponseXML, \"InsertClaimResponse_Result_OperaErrorCode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Opera Error Code :\"+ operaErrorCode + \"</b>\");\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"InsertClaimResponse_Result_GDSError\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"InsertClaimResponse_Result_GDSError\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>The gds error displayed in the InsertClaim response is :\"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}else {\n\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.FAIL, \"ResultFlag doesn't exist in InsertClaim Response!\");\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"Fault_faultcode\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"Fault_faultcode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>FaultCode : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"detail_fault_errorCode\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"detail_fault_errorCode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>ErrorCode : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"detail_fault_reason\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"detail_fault_reason\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Reason : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\t\t\t\t\n\t\t\t\t\t}\n\t\t\t} catch (Exception e) {\n\t\t\t\tWSClient.writeToReport(LogStatus.ERROR, \"Exception occured in test case due to\" + e);\n\t\t\t}\n\t\t}","title":""},{"docid":"10341d472d4d69b773890e7f357c9cd0","score":"0.5035654","text":"public interface AssessmentFactory extends EFactory {\n\t/**\n\t * The singleton instance of the factory.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @generated\n\t */\n\tAssessmentFactory eINSTANCE = assessment.impl.AssessmentFactoryImpl.init();\n\n\t/**\n\t * Returns a new object of class '<em>Executed Assessment</em>'.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @return a new object of class '<em>Executed Assessment</em>'.\n\t * @generated\n\t */\n\tExecutedAssessment createExecutedAssessment();\n\n\t/**\n\t * Returns a new object of class '<em>Subjective Assessment</em>'.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @return a new object of class '<em>Subjective Assessment</em>'.\n\t * @generated\n\t */\n\tSubjectiveAssessment createSubjectiveAssessment();\n\n\t/**\n\t * Returns a new object of class '<em>Objective Assessment</em>'.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @return a new object of class '<em>Objective Assessment</em>'.\n\t * @generated\n\t */\n\tObjectiveAssessment createObjectiveAssessment();\n\n\t/**\n\t * Returns a new object of class '<em>Questionnaire</em>'.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @return a new object of class '<em>Questionnaire</em>'.\n\t * @generated\n\t */\n\tQuestionnaire createQuestionnaire();\n\n\t/**\n\t * Returns a new object of class '<em>Compliance Item</em>'.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @return a new object of class '<em>Compliance Item</em>'.\n\t * @generated\n\t */\n\tComplianceItem createComplianceItem();\n\n\t/**\n\t * Returns a new object of class '<em>Question</em>'.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @return a new object of class '<em>Question</em>'.\n\t * @generated\n\t */\n\tQuestion createQuestion();\n\n\t/**\n\t * Returns a new object of class '<em>Answer Option</em>'.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @return a new object of class '<em>Answer Option</em>'.\n\t * @generated\n\t */\n\tAnswerOption createAnswerOption();\n\n\t/**\n\t * Returns a new object of class '<em>Script Template</em>'.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @return a new object of class '<em>Script Template</em>'.\n\t * @generated\n\t */\n\tScriptTemplate createScriptTemplate();\n\n\t/**\n\t * Returns a new object of class '<em>Compliance Type</em>'.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @return a new object of class '<em>Compliance Type</em>'.\n\t * @generated\n\t */\n\tComplianceType createComplianceType();\n\n\t/**\n\t * Returns the package supported by this factory.\n\t * <!-- begin-user-doc -->\n\t * <!-- end-user-doc -->\n\t * @return the package supported by this factory.\n\t * @generated\n\t */\n\tAssessmentPackage getAssessmentPackage();\n\n}","title":""},{"docid":"9baa79c8d35e001eb88e6c53dbfc2a3d","score":"0.5034841","text":"private void createTestCase(String testSuitUID, String testCaseUID) {\n driver.switchTo().defaultContent();\n driver.switchTo().frame(\"mainframe\").switchTo().frame(\"treeframe\");\n driver.findElement(By.xpath(\"//span[contains(text(),'\" + testSuitUID + \"')]\")).click();\n\n /* create new test case */\n driver.switchTo().defaultContent();\n driver.switchTo().frame(\"mainframe\").switchTo().frame(\"workframe\");\n driver.findElement(By.cssSelector(\"img[title='Actions']\")).click();\n driver.findElement(By.cssSelector(\"#create_tc\")).click();\n\n /* set test case name */\n driver.findElement(By.cssSelector(\"#testcase_name\")).sendKeys(\"Test case \" + testCaseUID);\n\n /* set test case description */\n driver.switchTo().frame(0);\n driver.findElement(By.cssSelector(\"body\")).sendKeys(\"Test case \" + testCaseUID + \" description\");\n\n /* set test case preconditions */\n driver.switchTo().parentFrame();\n driver.switchTo().frame(1);\n driver.findElement(By.cssSelector(\"body\")).sendKeys(\"Test case \" + testCaseUID + \" preconditions\");\n\n /* save test case */\n driver.switchTo().parentFrame();\n driver.findElement(By.cssSelector(\"#do_create_button\")).click();\n\n }","title":""},{"docid":"411bc1696cbe53a7be900b8f852252d4","score":"0.50265354","text":"@Test\n\tpublic void create() {\n\t\t\n\t\tJSONObject jobj = new JSONObject();\n\t\tjobj.put(\"createdBy\", \"Ruparani\");\n\t\tjobj.put(\"projectName\", \"Deepaksb\");\n\t\tjobj.put(\"status\", \"completed\");\n\t\tjobj.put(\"teamsize\", 30);\n\t\t\n\t\t//set the request specification before sending the request \n\t\t\n\t\tRequestSpecification reqspec =RestAssured.given();\n\t\treqspec.contentType(ContentType.JSON);\n\t\treqspec.body(jobj);\n\t\t\n\t\t\n\t\t//send the request \n\t\t\t\tResponse res = reqspec.post(\"http://localhost:8084/addProject\");\n\t\t\t\tres.then().assertThat().statusCode(201);\n\t\t\t\t\n\t\t\t\t// print the response \n\t\t\t\tSystem.out.println(res.asString());\n\t\t\t\tSystem.out.println(res.prettyPrint());\n\t\t\t\tSystem.out.println(res.prettyPeek());\n\n//\t\t\t\t// validate the response\n//\t\t\t\tValidatableResponse validate = res.then();\n//\t\t\t\tvalidate.assertThat().statusCode(201);\n//\t\t\t\tvalidate.assertThat().contentType(\"application/json\");\n//\t\t\t\tvalidate.log().all();\n\t}","title":""},{"docid":"f2362fed56109442a363dd10bc5f0dc3","score":"0.50256014","text":"@Test\r\n\tpublic void validAddUserTest() {\n\t\tcreateCategory.clickAdminLink();\r\n\t\tcreateCategory.clickCoursesCategoryLink();\r\n\t\t\r\n\t\t// Creating a new category\r\n\t\tcreateCategory.clickAddCategoryLink();\r\n\t\tcreateCategory.sendCategoryCode(\"11\");\r\n\t\tcreateCategory.sendCategoryName(\"Category3\");\r\n\t\tcreateCategory.clickYesRadio();\r\n\t\tcreateCategory.clickCategorySubmit();\r\n\t\tcreateCategory.clickAdminLink();\r\n\t\t\r\n\t\t// creating a new course\r\n\t\tcreateCategory.clickCreateCourseLink();\r\n\t\tcreateCategory.sendCourseTitle(\"Selenium_121\");\r\n\t\tcreateCategory.sendCode(\"ABD\");\r\n\t\tcreateCategory.clickTeacherDrpDown();\r\n\t\tcreateCategory.clickCategoryDrpDown();\r\n\t\tcreateCategory.clickLanguageDrpDown();\r\n\t\tcreateCategory.clickSubmitLink();\r\n\t\t\r\n\t\t//Assertion\r\n\t\tString Actual = createCategory.Assertion();;\r\n\t String Expected = \"Course Selenium_121 added\";\r\n\t\tAssert.assertTrue(Actual.contains(Expected));\r\n\t\tscreenShot.captureScreenShot(\"TC047\");\r\n }","title":""},{"docid":"4a6aa489d8fd922b061decc055ffab4b","score":"0.50226253","text":"@Test\n public void testCanUseFoodValid() {\n Item valid = new Food(playerPosition,\"Sandwich\", \"Yummy\",1.0, 1.0,1.0, FOOD_TYPE.SANDWICH);\n Assert.assertTrue(\"Should be able to use\", game.canUse(valid));\n }","title":""},{"docid":"c77f23e2e559a005611e38a419b33bf2","score":"0.5021798","text":"@Before\r\n public void setUp() {\r\n OpenVPMSApp app = (OpenVPMSApp) applicationContext.getBean(\"openVPMSApp\");\r\n app.setApplicationContext(applicationContext);\r\n ApplicationInstance.setActive(app);\r\n app.doInit();\r\n\r\n Party practice = getPractice();\r\n practice.addContact(TestHelper.createEmailContact(\"foo@bar.com\"));\r\n\r\n TemplateHelper helper = new TemplateHelper(getArchetypeService());\r\n Entity entity = helper.getTemplateForArchetype(CustomerAccountArchetypes.OPENING_BALANCE);\r\n if (entity == null) {\r\n entity = (Entity) create(DocumentArchetypes.DOCUMENT_TEMPLATE);\r\n }\r\n IMObjectBean bean = new IMObjectBean(entity);\r\n bean.setValue(\"name\", \"Statement\");\r\n bean.setValue(\"archetype\", CustomerAccountArchetypes.OPENING_BALANCE);\r\n bean.setValue(\"emailSubject\", \"Statement email\");\r\n bean.setValue(\"emailText\", \"Statement text\");\r\n if (entity.isNew() || helper.getDocumentAct(entity) == null) {\r\n DocumentTestHelper.createDocumentTemplate(entity);\r\n } else {\r\n bean.save();\r\n }\r\n }","title":""},{"docid":"ef04873acdd0ddf04e27454e017baf16","score":"0.5017916","text":"@Test(groups={\"minimumRegression\",\"Name\",\"OWS\",\"InsertClaim\"})\n\t\tpublic void insertClaim_41283() {\n\t\t\t\t\ttry {\n\t\t\t\t\t\tString testname = \"insertClaim_41283\";\n\t\t\t\t\t\tWSClient.startTest(testname, \"Verify that claim is inserted by passing membership information\", \"minimumRegression\");\n\t\t\t\t\t\tOPERALib.setOperaHeader(OPERALib.getUserName());\n\t\t\t\t\t\tString operaProfileID=\" \";\n\t\t\t\t\t\tString resortOperaValue = OPERALib.getResort();\n\t\t\t\t\t\tString chain=OPERALib.getChain();\n\t\t WSClient.setData(\"{var_resort}\", resortOperaValue);\n\t\t WSClient.setData(\"{var_chain}\",chain);\n\t\t WSClient.setData(\"{var_chaincode}\", chain);\n\t\t\t\t\t\t\n\t\t\t\t\t\t// Creating a profile\n\t\t\t\t\t\t\n\t\t\t\t\t\t\toperaProfileID = CreateProfile.createProfile(\"DS_01\");\n\t\t\t\t\t\tif (!operaProfileID.equals(\"error\")) {\n\t\t\t\t\t\t\tWSClient.setData(\"{var_profileID}\", operaProfileID);\n\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Profile ID :\" + operaProfileID+\"</b>\");\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tString query3 = WSClient.getQuery(\"OWSInsertClaim\",\"QS_03\");\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tLinkedHashMap<String,String> temp3 = new LinkedHashMap<String,String>();\n\t\t\t\t\t\t\t\ttemp3=WSClient.getDBRow(query3);\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tWSClient.setData(\"{var_nameOnCard}\", temp3.get(\"first\"));\n\t\t\t\t\t\t\t\tWSClient.setData(\"{var_memType}\",OperaPropConfig.getDataSetForCode(\"MembershipType\",\"DS_03\"));\n\t\t\t\t\t\t\t\tWSClient.setData(\"{var_memLevel}\", OperaPropConfig.getDataSetForCode(\"MembershipLevel\",\"DS_03\"));\n\t\t\t\t\t\t\t\tString createMembershipReq = WSClient.createSOAPMessage(\"CreateMembership\",\"DS_03\");\n\t\t\t\t\t String createMembershipRes = WSClient.processSOAPMessage(createMembershipReq);\n\t\t\t\t\t if (WSAssert.assertIfElementExists(createMembershipRes, \"CreateMembershipRS_Success\",\n\t\t\t\t\t\t\t\t\t\t\tfalse)) { \n\t\t\t\t\t \n\t\t\t\t\t }\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tsetOWSHeader();\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tString resort = OPERALib.getResort();\n\t\t\t\t\t\t\t\tString channel = OWSLib.getChannel();\n\t\t\t\t\t\t\t\tWSClient.setData(\"{var_owsresort}\", OWSLib.getChannelResort(resort, channel));\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tquery3 = WSClient.getQuery(\"OWSInsertClaim\",\"QS_04\");\n\t\t\t\t\t\t\t\ttemp3=WSClient.getDBRow(query3);\n\t\t\t\t\t\t\t\tWSClient.setData(\"{var_memId}\", temp3.get(\"memId\"));\n\t\t\t\t\t\t\t\tWSClient.setData(\"{var_memCardNo}\", temp3.get(\"memCardNo\"));\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t// Creating request and processing response for OWS InsertClaim Operation\n\t\t\t\t\t\t\t\tString insertClaimReq = WSClient.createSOAPMessage(\"OWSInsertClaim\", \"DS_06\");\n\t\t\t\t\t\t\t\tString insertClaimResponseXML = WSClient.processSOAPMessage(insertClaimReq);\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t// Validating response of OWS InsertClaim Operation\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML,\n\t\t\t\t\t\t\t\t\t\t\"InsertClaimResponse_Result_resultStatusFlag\", true)) {\n\t\t\t\t\t\t\t\t\tif (WSAssert.assertIfElementValueEquals(insertClaimResponseXML,\n\t\t\t\t\t\t\t\t\t\t\t\"InsertClaimResponse_Result_resultStatusFlag\", \"SUCCESS\", false)) {\n\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t// Database Validation\n\t\t\t\t\t\t\t\t\t\t\tLinkedHashMap<String,String> db = new LinkedHashMap<String,String>();\n\t\t\t\t\t\t\t\t\t\t\tLinkedHashMap<String,String> expectedValues = new LinkedHashMap<String,String>();\n\t\t\t\t\t\t\t\t\t\t\tLinkedHashMap<String,String> xPath = new LinkedHashMap<String,String>();\n\t\t\t\t\t\t\t\t\t\t\txPath.put(\"InsertClaimRequest_Profile_NameID\", \"InsertClaimRequest_Profile\");\n\t\t\t\t\t\t\t\t\t\t\txPath.put(\"InsertClaimRequest_Claim_ClaimInformation\", \"InsertClaimRequest_Claim\");\n\t\t\t\t\t\t\t\t\t\t\texpectedValues = WSClient.getSingleNodeList(insertClaimReq, xPath, false, XMLType.REQUEST);\n\t\t\t\t\t\t\t\t\t\t\tString query = WSClient.getQuery(\"QS_01\");\n\t\t\t\t\t\t\t\t\t\t\tdb = WSClient.getDBRow(query);\n\t\t\t\t\t\t\t\t\t\t\tWSAssert.assertEquals(expectedValues,db,false);\n\t\t\t\t\t\t\t\t\t}else {\t\n\t\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"Result_Text_TextElement\", true)) {\n\t\t\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"Result_Text_TextElement\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>The error displayed in the InsertClaim response is :\"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"InsertClaimResponse_Result_OperaErrorCode\", true)) {\n\t\t\t\t\t\t\t\t\t\t\t\tString operaErrorCode=WSAssert.getElementValue(insertClaimResponseXML, \"InsertClaimResponse_Result_OperaErrorCode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Opera Error Code :\"+ operaErrorCode + \"</b>\");\n\t\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"InsertClaimResponse_Result_GDSError\", true)) {\n\t\t\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"InsertClaimResponse_Result_GDSError\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>The gds error displayed in the InsertClaim response is :\"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}else {\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.FAIL, \"ResultFlag doesn't exist in InsertClaim Response!\");\n\t\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"Fault_faultcode\", true)) {\n\t\t\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"Fault_faultcode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>FaultCode : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"detail_fault_errorCode\", true)) {\n\t\t\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"detail_fault_errorCode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>ErrorCode : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"detail_fault_reason\", true)) {\n\t\t\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"detail_fault_reason\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Reason : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t} catch (Exception e) {\n\t\t\t\t\t\tWSClient.writeToReport(LogStatus.ERROR, \"Exception occurred in test case due to\" + e);\n\t\t\t\t\t}\n\t\t\t\t}","title":""},{"docid":"bc2a03c3b3e10dde6dfcc8e9ce8bc2be","score":"0.5017483","text":"@Test (groups = {\"CAM_NewWrkOrder_01\", \"CT_Regression\", \"CT_BVT\", \"Work Order\", \"NewWorkOrder\", \"MileStone9\"}, enabled = true)\n @Description(\"Verify Technician is able to navigate to New Work Order page\")\n public void CAM_NewWrkOrder_01_TC01() throws Exception {\n String Test_ID = \"CAM_NewWrkOrder_01_TC01\";\n //log = extent.createTest(\"CAM_NewWrkOrder_01_TC01\", \"Verify user is able to navigate to New Work Order page\");\n logger.info(\"Impersonate as a Technician: \" + GlobalVariables.NCal_OAK_Technician().get(\"Name\"));\n Commonfn_ValidateCreateNewWorkOrderPage(GlobalVariables.NCal_OAK_Technician().get(\"Name\") ,Test_ID);\n\n }","title":""},{"docid":"e68559ba227d7a8c746694a00a64b328","score":"0.5017267","text":"@Test\n\tpublic void TC052PMVE_24(){\n\t\tresult.addLog(\"ID : TC052PMVE_24 : Verify that user can upload primary images file by dragging and dropping file into 'Add Custom Image File' area.\");\n\t\t/*\n\t\t\tPre-condition: Partner user has \"Add and manage Products\" rights.\n\t\t\t\n\t\t\t1. Log into DTS portal as a partner admin\n\t\t\t2. Navigate to \"Accessories\" page\n\t\t\t3. Select an product from Products table\n\t\t\t4. Verify that the 040P product Detail page is displayed\n\t\t\t5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\t\tVP. Verify that the 052P Model Variant Edit page is displayed.\n\t\t\t6. Click \"Upload Custom Images\" link\n\t\t\tVP. Verify that the \"Add Custom Image File\" is displayed.\n\t\t\t7. Drag and Drop a tuning file into Add Custom Image File area\n\t\t */\n\t\t// Navigate to Product page\n\t\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\n\t\t// 3. Select an accessory from accessories table\n\t\thome.selectAnAccessory();\n\t\t// 4. Verify that the 040P Accessory Detail page is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AccessoryInfo.TITLE_NAME));\n\t\t// 5. Click \"Add New Variant\" link from \"Model Actions\" module\n\t\thome.click(AccessoryInfo.ADD_VARIANT);\n\t\t// VP: Verify that the 052P Model Variant Edit page is displayed\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.TITLE));\t\n\t\t//6. Click \"Upload Custom Images\" link\n\t\thome.click(AddVariant.UPLOAD_CUSTOM_IMAGE);\n\t\t//7. Drag and Drop a tuning file into Add Custom Image File area\n\t\thome.dragDropFile(Constant.IMG_NAME[0]);\n\t\tAssert.assertTrue(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOAD_THUMBNAIL_250));\n\t\t\n\t\t\n\t}","title":""},{"docid":"c78c09733e2d91a9eb97cdb0e76c0612","score":"0.5009218","text":"@Test\r\n\tpublic void testAddInventoryItemOnNewItem() {\r\n\t\tassertTrue(myAuction.checkForDuplicates(myNewItem));\r\n\t}","title":""},{"docid":"00e6dbad5f1c3c0e46b99763935fdbc1","score":"0.50078773","text":"@Test\n\tpublic void testItem_13() throws Exception {\n\t\tString request = \"{\\\"request\\\": {\\\"assessment_item\\\": {\\\"identifier\\\": \\\"\" + assessmentId\n\t\t\t\t+ \"\\\",\\\"objectType\\\": \\\"AssessmentItem\\\",\\\"metadata\\\": {\\\"code\\\": \\\"test.qtt02\\\",\\\"framework\\\":\\\"NCFTEST\\\",\\\"board\\\":\\\"cbse\\\",\\\"body\\\":\\\"Test Data for body........save it in cassandra\\\", \\\"itemType\\\":\\\"UNIT\\\",\\\"category\\\":\\\"MCQ\\\",\\\"version\\\":2,\\\"name\\\": \\\"MCQ Question 2\\\",\\\"type\\\": \\\"mcq\\\",\\\"num_answers\\\": 1,\\\"template\\\": \\\"mcq_template_2\\\",\\\"template_id\\\":\\\"mcq_template_2\\\",\\\"qlevel\\\": \\\"MEDIUM\\\",\\\"owner\\\": \\\"username_1\\\",\\\"title\\\": \\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\",\\\"question\\\": \\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\",\\\"model\\\": {\\\"img\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"perimeter\\\"},\\\"img2\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"smallSquare\\\"},\\\"subtext\\\": \\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\"},\\\"options\\\": [{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&10\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"14&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"16&8\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"},\\\"score\\\": 1}],\\\"max_score\\\": 1,\\\"partial_scoring\\\": false,\\\"feedback\\\": \\\"\\\"}}}}\";\n\t\tString path = basePath + \"/update/\" + assessmentId;\n\t\tactions = mockMvc.perform(MockMvcRequestBuilders.patch(path).contentType(MediaType.APPLICATION_JSON)\n\t\t\t\t.header(\"X-Channel-Id\", \"in.ekstep\").content(request));\n\t\tAssert.assertEquals(200, actions.andReturn().getResponse().getStatus());\n\t\tpath = basePath + \"/read/\" + assessmentId;\n\t\tactions = mockMvc.perform(MockMvcRequestBuilders.get(path).contentType(MediaType.APPLICATION_JSON)\n\t\t\t\t.header(\"X-Channel-Id\", \"in.ekstep\"));\n\t\tassertEquals(200, actions.andReturn().getResponse().getStatus());\n\t\tResponse resp = getResponse(actions);\n\t\tString board = (String) ((Map<String, Object>) resp.getResult().get(\"assessment_item\")).get(\"board\");\n\t\tassertEquals(\"cbse\", board);\n\t}","title":""},{"docid":"f6a3eb130fdae598c28f691ccf0e2c2a","score":"0.50034857","text":"public Item createItem(Item item) {\n items.get().save(item);\n return item;\n }","title":""},{"docid":"3826bae7985177f992830d24454eb3e0","score":"0.5002603","text":"@Test\n public void testCanUseTrapNoPredator() {\n //Trap can be used if there is a predator here\n Item tool = new Trap(playerPosition,\"Trap\", \"A predator trap\",1.0, 1.0);\n Assert.assertFalse(\"Should not be able to use\", game.canUse(tool));\n }","title":""},{"docid":"f40316647535cf239a87173a6382e5ca","score":"0.5002303","text":"@Test(enabled = true, groups = {\"smoke\"})\r\n public void testCreateNew() throws Exception {\r\n newIssueRep = createAndVerifyJiraIssueObjective(\"jiraIssue\", newIssueProps());\r\n }","title":""},{"docid":"363f80d28e393a2966d8ab87d0ca70be","score":"0.5000962","text":"@Test(expected=IllegalArgumentException.class)\n public void missingCiPrefix() throws IOException{\n contentItemFactory.createContentItem((String)null,TEST_CS);\n }","title":""},{"docid":"1a5d2957cbb46327f47d6b879328daa1","score":"0.5000045","text":"@Test\n void createNewListClicked() {\n }","title":""},{"docid":"87e65d785ffa40d9a728662c4a055400","score":"0.49972203","text":"public final void testPerformActionAddItem() {\r\n\t\tboolean action = turboManager.performAction(TurbobooksManager.Services.ADDITEM.getLabel(), item,\r\n\t\t\t\tmember.getMemberNumber());\r\n\t\tassertTrue(action);\r\n\r\n\t\tturboManager.performAction(TurbobooksManager.Services.REMOVEITEM.getLabel(), item, member.getMemberNumber());\r\n\t}","title":""},{"docid":"d3a7f0f69187e36772cf7d6f378d7f26","score":"0.49898404","text":"@Before\n public void createApp()\n {\n //need person that was created method that takes the real mainContext\n PersonStorageUtil.savePerson(mainContext, person);\n //user Rule to launch given activity\n mainActivityIntentsTestRule.launchActivity(null);\n\n }","title":""},{"docid":"b3c72f7decb8f04876eda011d58ee3c6","score":"0.49886155","text":"@Test\n public void itemsTest() {\n // TODO: test items\n }","title":""},{"docid":"c065084a00611f6025de5946d79d070f","score":"0.49880186","text":"public void test_create_5() throws Exception {\r\n \tProjectPayment obj = new ProjectPayment();\r\n \tobj.setAmount(new BigDecimal(1));\r\n \tobj.setCreateDate(new Date());\r\n \tobj.setPactsPaymentId(1L);\r\n \tobj.setProjectPaymentId(1L);\r\n \tobj.setProjectPaymentType(paymenttype);\r\n \tobj.setResourceId(1L);\r\n \tobj.setSubmissionId(2L);\r\n try {\r\n instance.create(obj, \"testOperator\");\r\n fail(\"ProjectPaymentValidationException expected.\");\r\n } catch (ProjectPaymentValidationException iae) {\r\n //good\r\n }\r\n }","title":""},{"docid":"b85b21f3bbf5264db93551c515449d8f","score":"0.4984856","text":"@Override\r\n\t@Transactional\r\n\tpublic ItemBoundary createItem(String userSpace, String userEmail, ItemBoundary item) {\n\t\tutils.assertNull(item);\r\n\t\tutils.assertNull(item.getType());\r\n\t\tutils.assertNull(item.getName());\r\n\r\n\t\tString userId = utils.combineID(userSpace, userEmail);\r\n\t\tUserEntity manager = userDao.findById(userId)\r\n\t\t\t\t.orElseThrow(() -> new NotFoundException(\"User not found: \" + userId));\r\n\t\tutils.assertProperRole(manager.getRole(), UserRole.MANAGER.name());\r\n\t\tutils.assertItemType(item.getType());\r\n\t\t\t\r\n\t\tItemEntity entity = this.entityConverter.fromBoundary(item);\r\n\t\tString id = utils.createUniqueID(springApplicationName);\r\n\t\tentity.setCreatorEmail(userEmail);\r\n\t\tentity.setItemId(id);\r\n\t\tentity.setCreatedTimestamp(new Date());\r\n\t\tthis.itemsDao.save(entity);\r\n\t\treturn this.entityConverter.toBoundary(entity);\r\n\t}","title":""},{"docid":"1f902c38704cbe3d20fd9922a19c8dfa","score":"0.49845588","text":"UMLTestCase createUMLTestCase();","title":""},{"docid":"eb2c06cea0b036786f1a902f26872c4d","score":"0.49840385","text":"@Test\n public void addItemsToBasketWithLessThanOneQty() {\n try {\n basketTest.addItem(bike2, -4);\n fail(\"IllegalArgumentException was not thrown.\");\n }\n catch (IllegalArgumentException e) {\n assertEquals(\"Select at least one item.\", e.getMessage());\n }\n }","title":""},{"docid":"bfb795c6de5a6d89b9829de220afdddd","score":"0.49774107","text":"@Test\n public void addCustomComplianceStandardTest() {\n Integer externalAccountId = null;\n Integer customComplianceStandardId = null;\n // Meta response = api.addCustomComplianceStandard(externalAccountId, customComplianceStandardId);\n\n // TODO: test validations\n }","title":""},{"docid":"35ed02d1cf295f5f13410948537e30fa","score":"0.4975229","text":"@Test\n public void testCanCollectCollectable(){\n Item valid = new Food(playerPosition,\"Sandwich\", \"Yummy\",1.0, 1.0,1.0, FOOD_TYPE.SANDWICH);\n Assert.assertTrue(\"Should be able to collect\", game.canCollect(valid));\n }","title":""},{"docid":"d2d81caa5bc6bd2833df23221627e3f1","score":"0.49741733","text":"@Test\n\tpublic void testSingleItemRule() throws BusinessException {\n\t\tBuildMissionRuleDto rule = new BuildMissionRuleDto();\n\t\trule.setRuleTemplate(initTemplate());\n String template = initTemplate();\n System.out.println(\"template:\" + template);\n rule.setRuleTemplate(template);\n\t\t// 生成规则\n\t\tString ruleStr = this.creator.buildMissionRule(rule);\n\t\t// 根据定义文件,反算获取定义对象\n\t\tRuleDefinitionDto defineDto = this.ruleCalculate.calcDefinition(ruleStr);\n\t\tSystem.out.println(defineDto);\n\t\tSystem.out.println(JSON.toJSON(defineDto));\n\n\t\t// 根据计算对象,计算是否满足条件\n\t\tSingleItemRuleDto calcDto = (SingleItemRuleDto) defineDto;\n\t\tcalcDto.setAwardNum(null);\n\t\tcalcDto.setStatus(0);\n\t\tthis.ruleCalculate.calculate(ruleStr, calcDto);\n\t\tSystem.out.println(\"计算之后:\" + JSON.toJSON(defineDto));\n\t}","title":""},{"docid":"89778e35d1da5ca10935fc48e80b2bb7","score":"0.49738887","text":"@Test\n\tpublic void testItem_14() throws Exception {\n\t\tString request = \"{\\\"request\\\": {\\\"assessment_item\\\": {\\\"identifier\\\": \\\"\" + assessmentId\n\t\t\t\t+ \"\\\",\\\"objectType\\\": \\\"AssessmentItem\\\",\\\"metadata\\\": {\\\"code\\\": \\\"test.qtt02\\\",\\\"framework\\\":\\\"NCFTEST\\\",\\\"subject\\\":\\\"board\\\",\\\"icse\\\":\\\"Test Data for body........save it in cassandra\\\", \\\"itemType\\\":\\\"UNIT\\\",\\\"category\\\":\\\"MCQ\\\",\\\"version\\\":2,\\\"name\\\": \\\"MCQ Question 2\\\",\\\"type\\\": \\\"mcq\\\",\\\"num_answers\\\": 1,\\\"template\\\": \\\"mcq_template_2\\\",\\\"template_id\\\":\\\"mcq_template_2\\\",\\\"qlevel\\\": \\\"MEDIUM\\\",\\\"owner\\\": \\\"username_1\\\",\\\"title\\\": \\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\",\\\"question\\\": \\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\",\\\"model\\\": {\\\"img\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"perimeter\\\"},\\\"img2\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"smallSquare\\\"},\\\"subtext\\\": \\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\"},\\\"options\\\": [{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&10\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"14&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"16&8\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"},\\\"score\\\": 1}],\\\"max_score\\\": 1,\\\"partial_scoring\\\": false,\\\"feedback\\\": \\\"\\\"}}}}\";\n\t\tString path = basePath + \"/update/\" + assessmentId;\n\t\tactions = mockMvc.perform(MockMvcRequestBuilders.patch(path).contentType(MediaType.APPLICATION_JSON)\n\t\t\t\t.header(\"X-Channel-Id\", \"in.ekstep\").content(request));\n\t\tAssert.assertEquals(400, actions.andReturn().getResponse().getStatus());\n\t}","title":""},{"docid":"4077c80185134e9c3a816927cd60e78c","score":"0.49732894","text":"@Test\n void getSaveItems()\n {\n }","title":""},{"docid":"cf47cdd20aaf0f561a8c1de7078c2a1d","score":"0.49678025","text":"@Test\n\tpublic void testItem_21() throws Exception {\n\t\tString request = \"{\\\"request\\\": {\\\"assessment_item\\\": {\\\"identifier\\\": \\\"\" + assessmentId\n\t\t\t\t+ \"\\\",\\\"objectType\\\": \\\"AssessmentItem\\\",\\\"metadata\\\": {\\\"code\\\": \\\"test.qtt02\\\",\\\"framework\\\":\\\"NCFTEST\\\",\\\"topic\\\":[\\\"addition\\\"],\\\"body\\\":\\\"Test Data for body........save it in cassandra\\\", \\\"itemType\\\":\\\"UNIT\\\",\\\"category\\\":\\\"MCQ\\\",\\\"version\\\":2,\\\"name\\\": \\\"MCQ Question 2\\\",\\\"type\\\": \\\"mcq\\\",\\\"num_answers\\\": 1,\\\"template\\\": \\\"mcq_template_2\\\",\\\"template_id\\\":\\\"mcq_template_2\\\",\\\"qlevel\\\": \\\"MEDIUM\\\",\\\"owner\\\": \\\"username_1\\\",\\\"title\\\": \\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\",\\\"question\\\": \\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\",\\\"model\\\": {\\\"img\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"perimeter\\\"},\\\"img2\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"smallSquare\\\"},\\\"subtext\\\": \\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\"},\\\"options\\\": [{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&10\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"14&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"16&8\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"},\\\"score\\\": 1}],\\\"max_score\\\": 1,\\\"partial_scoring\\\": false,\\\"feedback\\\": \\\"\\\"}}}}\";\n\t\tString path = basePath + \"/update/\" + assessmentId;\n\t\tactions = mockMvc.perform(MockMvcRequestBuilders.patch(path).contentType(MediaType.APPLICATION_JSON)\n\t\t\t\t.header(\"X-Channel-Id\", \"in.ekstep\").content(request));\n\t\tAssert.assertEquals(200, actions.andReturn().getResponse().getStatus());\n\t\tpath = basePath + \"/read/\" + assessmentId;\n\t\tactions = mockMvc.perform(MockMvcRequestBuilders.get(path).contentType(MediaType.APPLICATION_JSON)\n\t\t\t\t.header(\"X-Channel-Id\", \"in.ekstep\"));\n\t\tassertEquals(200, actions.andReturn().getResponse().getStatus());\n\t\tResponse resp = getResponse(actions);\n\t\tList<String> topic = (List<String>) ((Map<String, Object>) resp.getResult().get(\"assessment_item\"))\n\t\t\t\t.get(\"topic\");\n\t\tassertEquals(\"addition\", (String) topic.get(0));\n\t}","title":""},{"docid":"218bb310a023ce3f829243bce13551ef","score":"0.4965981","text":"@Test\n\tpublic void testItem_18() throws Exception {\n\t\tString request = \"{\\\"request\\\": {\\\"assessment_item\\\": {\\\"identifier\\\": \\\"\" + assessmentId\n\t\t\t\t+ \"\\\",\\\"objectType\\\": \\\"AssessmentItem\\\",\\\"metadata\\\": {\\\"code\\\": \\\"test.qtt02\\\",\\\"framework\\\":\\\"NCFTEST\\\"\\\"gradeLevel\\\":[\\\"grade-1\\\"],\\\"icse\\\":\\\"Test Data for body........save it in cassandra\\\", \\\"itemType\\\":\\\"UNIT\\\",\\\"category\\\":\\\"MCQ\\\",\\\"version\\\":2,\\\"name\\\": \\\"MCQ Question 2\\\",\\\"type\\\": \\\"mcq\\\",\\\"num_answers\\\": 1,\\\"template\\\": \\\"mcq_template_2\\\",\\\"template_id\\\":\\\"mcq_template_2\\\",\\\"qlevel\\\": \\\"MEDIUM\\\",\\\"owner\\\": \\\"username_1\\\",\\\"title\\\": \\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\",\\\"question\\\": \\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\",\\\"model\\\": {\\\"img\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"perimeter\\\"},\\\"img2\\\": {\\\"type\\\": \\\"image\\\",\\\"asset\\\": \\\"smallSquare\\\"},\\\"subtext\\\": \\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\"},\\\"options\\\": [{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&10\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"14&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"16&8\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"}},{\\\"value\\\": {\\\"type\\\": \\\"text\\\",\\\"asset\\\": \\\"12&7\\\",\\\"font\\\": \\\"Verdana\\\",\\\"color\\\": \\\"white\\\",\\\"fontsize\\\": \\\"240\\\"},\\\"score\\\": 1}],\\\"max_score\\\": 1,\\\"partial_scoring\\\": false,\\\"feedback\\\": \\\"\\\"}}}}\";\n\t\tString path = basePath + \"/update/\" + assessmentId;\n\t\tactions = mockMvc.perform(MockMvcRequestBuilders.patch(path).contentType(MediaType.APPLICATION_JSON)\n\t\t\t\t.header(\"X-Channel-Id\", \"in.ekstep\").content(request));\n\t\tAssert.assertEquals(400, actions.andReturn().getResponse().getStatus());\n\t}","title":""},{"docid":"e27621832d254359f6ab55c85b7b1e53","score":"0.49643996","text":"@Test\n public void testUpdateItem() {\n List<Category> categories = new ArrayList<>(); \n \n Item item = makeItem();\n dao.addItem(item);\n\n Item item2 = new Item();\n item2.setItemName(\"Camera Y\");\n item2.setDescription(\"Good camera but it's broke\");\n item2.setCategories(categories);\n item2.setFeaturedItem(TRUE);\n item2.setImageTitle(\"picture of the camera\");\n \n item2.setItemId(item.getItemId());\n\n dao.updateItem(item2);\n assertEquals(item2, dao.getItem(item.getItemId()));\n }","title":""},{"docid":"deca7d9b734921dd38e93779d35e63f1","score":"0.4962222","text":"@Test\n public void testAddItem() {\n Item item = makeItem();\n item = dao.addItem(item);\n\n assertEquals(item, dao.getItem(item.getItemId()));\n }","title":""},{"docid":"a957b31bdbb599d9c3e32f97866671f7","score":"0.49580422","text":"@Test\n\tvoid testItem() throws Exception {\n\t\tguest = guest.getGuestInstance();\n\n\t\tassert (true);\n\t}","title":""},{"docid":"3956e897f16ca1afc0362c76a7a7dd08","score":"0.49576807","text":"@Test(expected=IllegalArgumentException.class)\n public void missingCiContentSource() throws IOException{\n contentItemFactory.createContentItem((ContentSource)null);\n }","title":""},{"docid":"3a404ed5c807a6bcd7da44d49dbed753","score":"0.4957134","text":"@Test(groups={\"minimumRegression\",\"Name\",\"OWS\",\"InsertClaim\"})\n\t\tpublic void insertClaim_40020() {\n\t\t\ttry {\n\t\t\t\tString testname = \"insertClaim_40020\";\n\t\t\t\tString operaProfileID=\" \";\n\t\t\t\tWSClient.startTest(testname, \"Verify that error message is obtained by passing nameid type as EXTERNAL.\", \"minimumRegression\");\n\t\t\t\tString resortOperaValue = OPERALib.getResort();\n\t\t\t\tString chain=OPERALib.getChain();\n WSClient.setData(\"{var_resort}\", resortOperaValue);\n WSClient.setData(\"{var_chain}\",chain);\n WSClient.setData(\"{var_chaincode}\", chain);\n OPERALib.setOperaHeader(OPERALib.getUserName());\n\t\t\t\t\n\t\t\t\t// Creating a profile\n\t\t\t\t\n\t\t\t\t\toperaProfileID = CreateProfile.createProfile(\"DS_01\");\n\t\t\t\tif (!operaProfileID.equals(\"error\")) {\n\t\t\t\t\tWSClient.setData(\"{var_profileID}\", operaProfileID);\n\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Profile ID :\" + operaProfileID+\"</b>\");\n\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\tWSClient.setData(\"{var_claimInfo}\", \"Card not issued\");\n\t\t\t\t\t\t\n\t\t\t\t\t\tsetOWSHeader();\n\t\t\t\t\t\n\t\t\t\t\t\tString resort = OPERALib.getResort();\n\t\t\t\t\t\tString channel = OWSLib.getChannel();\n\t\t\t\t\t\tWSClient.setData(\"{var_owsresort}\", OWSLib.getChannelResort(resort, channel));\n\t\t\t\t\t\t\n\t\t\t\t\t\t// Creating request and processing response for OWS InsertClaim Operation\n\t\t\t\t\t\tString insertClaimReq = WSClient.createSOAPMessage(\"OWSInsertClaim\", \"DS_02\");\n\t\t\t\t\t\tString insertClaimResponseXML = WSClient.processSOAPMessage(insertClaimReq);\n\t\t\t\t\t\t\n\t\t\t\t\t\t// Validating response of OWS InsertClaim Operation\n\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML,\n\t\t\t\t\t\t\t\t\"InsertClaimResponse_Result_resultStatusFlag\", true)) {\n\t\t\t\t\t\t\tif (WSAssert.assertIfElementValueEquals(insertClaimResponseXML,\n\t\t\t\t\t\t\t\t\t\"InsertClaimResponse_Result_resultStatusFlag\", \"FAIL\", false)) {\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"Result_Text_TextElement\", false)) {\n\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementValueEquals(insertClaimResponseXML, \"Result_Text_TextElement\", \"This instance does not support EXTERNAL NameID values.\", true)) {\n\t\t\t\t\t\t\t\t\t\tWSAssert.assertIfElementValueEquals(insertClaimResponseXML, \"Result_Text_TextElement\", \"This instance does not support EXTERNAL NameID values.\", false);\n\t\t\t\t\t\t\t\t\t}else if(WSAssert.assertIfElementContains(insertClaimResponseXML, \"Result_Text_TextElement\", \"Invalid Name ID\", false)) {\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}else {\n\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"Result_Text_TextElement\", true)) {\n\t\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"Result_Text_TextElement\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>The error displayed in the InsertClaim response is :\"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"InsertClaimResponse_Result_OperaErrorCode\", true)) {\n\t\t\t\t\t\t\t\t\t\t\tString operaErrorCode=WSAssert.getElementValue(insertClaimResponseXML, \"InsertClaimResponse_Result_OperaErrorCode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Opera Error Code :\"+ operaErrorCode+\"</b>\");\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"InsertClaimResponse_Result_GDSError\", true)) {\n\t\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"InsertClaimResponse_Result_GDSError\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>The gds error displayed in the InsertClaim response is :\"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}else {\t\n\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.FAIL, \"Test Failed\");\t\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}else {\n\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.FAIL, \"ResultFlag doesn't exist in InsertClaim Response!\");\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"Fault_faultcode\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"Fault_faultcode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>FaultCode : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"detail_fault_errorCode\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"detail_fault_errorCode\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>ErrorCode : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \"detail_fault_reason\", true)) {\n\t\t\t\t\t\t\t\t\tString message=WSAssert.getElementValue(insertClaimResponseXML, \"detail_fault_reason\", XMLType.RESPONSE);\n\t\t\t\t\t\t\t\t\tWSClient.writeToReport(LogStatus.INFO, \"<b>Reason : \"+ message + \"</b>\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} catch (Exception e) {\n\t\t\t\tWSClient.writeToReport(LogStatus.ERROR, \"Exception occured in test case due to\" + e);\n\t\t\t}\n\t\t}","title":""}],"string":"[\n {\n \"docid\": \"c3206a676c7bd477867935d6c80813db\",\n \"score\": \"0.65618974\",\n \"text\": \"ComplianceItem createComplianceItem();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c138d324fdac3468bb1ca56a3fc41989\",\n \"score\": \"0.62726504\",\n \"text\": \"@Test\\n public void postCreateItemTest() {\\n String name = null;\\n String from = null;\\n String mode = null;\\n String body = null;\\n String jenkinsCrumb = null;\\n String contentType = null;\\n //api.postCreateItem(name, from, mode, body, jenkinsCrumb, contentType);\\n \\n // TODO: test validations\\n \\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3460cd5d8b22e35b1fddf3b3c74c7072\",\n \"score\": \"0.59171736\",\n \"text\": \"Item createItem(Item item);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8e873181cda57e564ed33da90ae864c5\",\n \"score\": \"0.5881088\",\n \"text\": \"ItemSpecies createItemSpecies();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e91ca500f4435cda62f634f28c052c19\",\n \"score\": \"0.5862086\",\n \"text\": \"private String createItem() throws Exception {\\r\\n \\r\\n // create an item and save the id\\r\\n String xmlData =\\r\\n EscidocAbstractTest.getTemplateAsString(TEMPLATE_ITEM_PATH + \\\"/rest/\\\", \\\"escidoc_item_198_for_create.xml\\\");\\r\\n \\r\\n String theItemXml = handleXmlResult(getItemClient().create(xmlData));\\r\\n return getObjidValue(theItemXml);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e43bce4009cd4f5a7f4af106f5fa8259\",\n \"score\": \"0.5706345\",\n \"text\": \"@Test(groups = { \\\"setup\\\", \\\"database\\\", \\\"couch\\\" })\\n public void createSuitabilityScenarioTest() throws Exception {\\n\\n SuitabilityScenario suitabilityScenario = new SuitabilityScenario();\\n suitabilityScenario.setLabel(suitabilityScenarioLabel);\\n LOGGER.debug(\\\"docType: \\\" + suitabilityScenario.getDocType());\\n LOGGER.debug(\\\"project uuid: \\\" + newProjectId);\\n suitabilityScenario.setProjectId(newProjectId);\\n SuitabilityScenario createdSuitabilityScenario = suitabilityScenarioDao\\n .persistSuitabilityScenario(suitabilityScenario);\\n LOGGER.debug(\\\"createdSuitabilityScenario uuid: \\\"\\n + createdSuitabilityScenario.getId());\\n newId = createdSuitabilityScenario.getId();\\n Assert.assertNotNull(newId);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43708552d5de5a0c9c9fcef1cebf37f5\",\n \"score\": \"0.55363834\",\n \"text\": \"@Test\\n\\tpublic void TC052PMVE_26(){\\n\\t\\tresult.addLog(\\\"ID : TC052PMVE_26 : Verify that the 'Add Custom Image' item is hidden when user selects 'Use Parent's Images'\\\");\\n\\t\\t/*\\n\\t\\tPre-condition: Partner user has \\\"Add and manage accessories\\\" rights.\\n\\n\\t\\t1. Log into DTS portal as a partner admin\\n\\t\\t2. Navigate to \\\"Accessories\\\" page\\n\\t\\t3. Select an accessory from accessories table\\n\\t\\t4. Verify that the 040P Accessory Detail page is displayed\\n\\t\\t5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\tVP. Verify that the 052P Model Variant Edit page is displayed.\\n\\t\\t6. Click \\\"Upload Custom Images\\\" link\\n\\t\\tVP. Verify that the \\\"Add Tuning File\\\" item is displayed.\\n\\t\\t7. Tick to check the \\\"Use Parent's Images\\\" checkbox.\\n\\t\\t */\\n\\t\\t// 2. Navigate to \\\"Accessories\\\" page\\n\\t\\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\\n\\t\\t// 3. Create new product successfully\\n\\t\\thome.click(AccessoryMain.ADD_ACCESSORY);\\n\\t\\tHashtable<String,String> data = TestData.accessoryDraft();\\n\\t\\thome.addAccessoriesPartner(AddAccessory.getHash(), data);\\n\\t\\t//VP: Verify that the product info page is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AccessoryInfo.TITLE_NAME));\\n\\t\\t//5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\thome.click(AccessoryInfo.ADD_VARIANT);\\n\\t\\t//VP: verify that the add variant screen is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.TITLE));\\n\\t\\t//7. Select the \\\"Use Custom Images\\\" checkbox.\\n\\t\\thome.click(AddVariant.UPLOAD_CUSTOM_IMAGE);\\n\\t\\t// VP: Verify that the upload custom image section is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_250));\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_500));\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_1000));\\n\\t\\t//8. Select \\\"Use Parent's Images\\\" option\\n\\t\\thome.click(AddVariant.PARENT_IMAGE_CHECKBOX);\\n\\t\\t//VP: Verify that three size of adding custom image is hidden\\n\\t\\tAssert.assertFalse(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_250));\\n\\t\\tAssert.assertFalse(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_500));\\n\\t\\tAssert.assertFalse(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOADER_1000));\\n\\t\\t\\n\\t\\t//Teardown: Delete product\\n\\t\\thome.deleteAnaccessorybyName(data.get(\\\"name\\\"));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60aa016b89e8d82b850491bbca39df18\",\n \"score\": \"0.5531226\",\n \"text\": \"@Test\\n public void testAddItem() throws Exception {\\n System.out.println(\\\"addItem\\\");\\n Orcamentoitem item = null;\\n Orcamentoitem expResult = null;\\n Orcamentoitem result = instance.addItem(item);\\n assertEquals(expResult, result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b6d779c67b74b937c0487944409ae32\",\n \"score\": \"0.5502636\",\n \"text\": \"@Test\\r\\n\\tpublic void additem() {\\n\\t\\t\\t\\tString item = COAS.retrieveAllItem(itemList);\\r\\n\\t\\t\\t\\tString testOutput = \\\"\\\";\\r\\n\\t\\t\\t\\tassertSame(\\\"test that able to viewAllItems\\\", testOutput, item);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tCOAS.additem(itemList, item1);\\r\\n\\t\\t\\t\\tCOAS.additem(itemList, item2);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t//normal\\r\\n\\t\\t\\t\\tassertNotNull(\\\"test if it is a valid item name\\\", itemList);\\r\\n\\t\\t\\t\\t//error\\r\\n\\t\\t\\t\\tassertNotNull(\\\"test if it is an invalid item name\\\", itemList);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t//normal\\r\\n\\t\\t\\t\\tassertSame(\\\"Test that item1 is added\\\", item1, itemList.get(0));\\r\\n\\t\\t\\t\\tassertSame(\\\"Test that item2 is added\\\", item2, itemList.get(1));\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0ec4188807cc21e8069a4c45e26eac7e\",\n \"score\": \"0.5479687\",\n \"text\": \"@Test\\n public void createNewNote() {\\n\\n ActivityTestRule<NoteListActivity> mNoteListActivityRule=new ActivityTestRule<>(NoteListActivity.class);\\n mNoteListActivityRule.launchActivity(new Intent());\\n\\n final CourseInfo course=sDataManager.getCourse(\\\"java_lang\\\");\\n final String noteTitle=\\\"Test note tile\\\";\\n final String noteText=\\\"This is the body of our test note\\\";\\n\\n onView(withId(R.id.fab)).perform(click());\\n\\n onView(withId(R.id.spinner_courses)).perform(click());\\n onData(allOf(instanceOf(CourseInfo.class),equalTo(course))).perform(click());\\n onView(withId(R.id.text_note_title)).perform(typeText(noteTitle));\\n onView(withId(R.id.text_note_text)).perform(typeText(noteText),\\n closeSoftKeyboard());\\n\\n pressBack();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fae7e5d90a354b636e05e4898d89be37\",\n \"score\": \"0.54593533\",\n \"text\": \"public boolean addAssessment(AssessmentObject item);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3c665ec26481ed9a720d799c051bc7e7\",\n \"score\": \"0.54526436\",\n \"text\": \"@Test\\n public void testCreateApp() {\\n App newApp = null;\\n try {\\n newApp =\\n new App(\\\"NewAppCreateTest\\\", \\\"iOS\\\", \\\"NewApp Short Description\\\", \\\"0.1\\\",\\n \\\"This is a long Description\\\", \\\"www.here.itis\\\");\\n Artifact thumbnail = new Artifact(\\\"thumbnail\\\", \\\"some.picture.url\\\");\\n newApp.addArtifact(thumbnail);\\n Response response =\\n target.path(\\\"apps\\\").request()\\n .header(\\\"accessToken\\\", OIDCAuthentication.OPEN_ID_TEST_TOKEN)\\n .post(entity(newApp, MediaType.APPLICATION_JSON));\\n assertEquals(HttpStatusCode.CREATED, response.getStatus());\\n MediaType responseMediaType = response.getMediaType();\\n assertEquals(MediaType.APPLICATION_JSON, responseMediaType.toString());\\n String responseContent = response.readEntity(String.class);\\n ObjectMapper mapper = new ObjectMapper();\\n JsonNode retrievedApp;\\n retrievedApp = mapper.readTree(responseContent);\\n assertTrue(!retrievedApp.isNull());\\n assertEquals(newApp.getName(), retrievedApp.get(\\\"name\\\").asText());\\n } catch (Exception e) {\\n e.printStackTrace();\\n fail(\\\"JSON parsing failed with \\\" + e.getMessage());\\n } finally {\\n LOGGER.info(\\\"Deleting created app data...\\\");\\n entityFacade.deleteByParam(App.class, \\\"name\\\", \\\"NewAppCreateTest\\\");\\n LOGGER.info(\\\"App data deleted.\\\");\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a9d62fb062b4657faaf04a9c0aea5412\",\n \"score\": \"0.5427323\",\n \"text\": \"@Test\\n\\tpublic void TC052PMVE_23(){\\n\\t\\tresult.addLog(\\\"ID : TC052PMVE_23 : Verify that the 'Add Custom Image' item is displayed with 'drag and drop' area and 'Select File' button when clicking on 'Upload Custom Images' link.\\\");\\n\\t\\t/*\\n\\t\\tPre-condition: Partner user has \\\"Add and manage Products\\\" rights.\\n\\t\\t\\n\\t\\t1. Log into DTS portal as a partner admin\\n\\t\\t2. Navigate to \\\"Accessories\\\" page\\n\\t\\t3. Select an product from Products table\\n\\t\\t4. Verify that the 040P product Detail page is displayed\\n\\t\\t5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\tVP. Verify that the 052P Model Variant Edit page is displayed.\\n\\t\\t6. Click \\\"Upload Custom Images\\\" link\\n\\t\\t */\\n\\t\\t// Navigate to Product page\\n\\t\\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\\n\\t\\t// 3. Select an accessory from accessories table\\n\\t\\thome.selectAnAccessory();\\n\\t\\t// 4. Verify that the 040P Accessory Detail page is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AccessoryInfo.TITLE_NAME));\\n\\t\\t// 5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\thome.click(AccessoryInfo.ADD_VARIANT);\\n\\t\\t// VP: Verify that the 052P Model Variant Edit page is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.TITLE));\\t\\n\\t\\t//6. Click \\\"Upload Custom Images\\\" link\\n\\t\\thome.click(AddVariant.UPLOAD_CUSTOM_IMAGE);\\n\\t\\t// Verify that the \\\"Add Custom Image\\\" item is displayed with \\\"drag and drop\\\" area and \\\"Select File\\\" button when clicking on \\\"Upload Custom Images\\\" link.\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_250));\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_500));\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_1000));\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.IMAGE250_DRAG_DROP_AREA));\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.IMAGE500_DRAG_DROP_AREA));\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.IMAGE1000_DRAG_DROP_AREA));\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1066d48436afb1b1948bea93b065ee41\",\n \"score\": \"0.5404645\",\n \"text\": \"@Test\\r\\tpublic void itShouldCreateAnAssortment() {\",\n \"title\": \"\"\n },\n {\n \"docid\": \"53deafc1348e2e669271ac7079a3ea24\",\n \"score\": \"0.54025924\",\n \"text\": \"public static void createFramework() throws Exception {\\n\\t\\tString fwHierarchy = \\\"{\\\\\\\"categories\\\\\\\":[{\\\\\\\"identifier\\\\\\\":\\\\\\\"ncftest_medium\\\\\\\",\\\\\\\"code\\\\\\\":\\\\\\\"medium\\\\\\\",\\\\\\\"terms\\\\\\\":[{\\\\\\\"identifier\\\\\\\":\\\\\\\"ncftest_medium_english\\\\\\\",\\\\\\\"code\\\\\\\":\\\\\\\"english\\\\\\\",\\\\\\\"name\\\\\\\":\\\\\\\"english\\\\\\\",\\\\\\\"description\\\\\\\":\\\\\\\"English Medium\\\\\\\",\\\\\\\"index\\\\\\\":1,\\\\\\\"category\\\\\\\":\\\\\\\"medium\\\\\\\",\\\\\\\"status\\\\\\\":\\\\\\\"Live\\\\\\\"}],\\\\\\\"name\\\\\\\":\\\\\\\"medium\\\\\\\",\\\\\\\"description\\\\\\\":\\\\\\\"Medium for NCFTEST\\\\\\\",\\\\\\\"index\\\\\\\":1,\\\\\\\"status\\\\\\\":\\\\\\\"Live\\\\\\\"},{\\\\\\\"identifier\\\\\\\":\\\\\\\"ncftest_subject\\\\\\\",\\\\\\\"code\\\\\\\":\\\\\\\"subject\\\\\\\",\\\\\\\"terms\\\\\\\":[{\\\\\\\"identifier\\\\\\\":\\\\\\\"ncftest_subject_math\\\\\\\",\\\\\\\"code\\\\\\\":\\\\\\\"math\\\\\\\",\\\\\\\"name\\\\\\\":\\\\\\\"math\\\\\\\",\\\\\\\"description\\\\\\\":\\\\\\\"Mathematics\\\\\\\",\\\\\\\"index\\\\\\\":1,\\\\\\\"category\\\\\\\":\\\\\\\"subject\\\\\\\",\\\\\\\"status\\\\\\\":\\\\\\\"Live\\\\\\\"}],\\\\\\\"name\\\\\\\":\\\\\\\"subject\\\\\\\",\\\\\\\"description\\\\\\\":\\\\\\\"Subject for NCFTEST\\\\\\\",\\\\\\\"index\\\\\\\":2,\\\\\\\"status\\\\\\\":\\\\\\\"Live\\\\\\\"},{\\\\\\\"identifier\\\\\\\":\\\\\\\"ncftest_board\\\\\\\",\\\\\\\"code\\\\\\\":\\\\\\\"board\\\\\\\",\\\\\\\"terms\\\\\\\":[{\\\\\\\"identifier\\\\\\\":\\\\\\\"ncftest_board_cbse\\\\\\\",\\\\\\\"code\\\\\\\":\\\\\\\"cbse\\\\\\\",\\\\\\\"name\\\\\\\":\\\\\\\"cbse\\\\\\\",\\\\\\\"description\\\\\\\":\\\\\\\"CBSE Board\\\\\\\",\\\\\\\"index\\\\\\\":1,\\\\\\\"category\\\\\\\":\\\\\\\"board\\\\\\\",\\\\\\\"status\\\\\\\":\\\\\\\"Live\\\\\\\"}],\\\\\\\"name\\\\\\\":\\\\\\\"board\\\\\\\",\\\\\\\"description\\\\\\\":\\\\\\\"Board for NCFTEST\\\\\\\",\\\\\\\"index\\\\\\\":3,\\\\\\\"status\\\\\\\":\\\\\\\"Live\\\\\\\"},{\\\\\\\"identifier\\\\\\\":\\\\\\\"ncftest_topic\\\\\\\",\\\\\\\"code\\\\\\\":\\\\\\\"topic\\\\\\\",\\\\\\\"terms\\\\\\\":[{\\\\\\\"identifier\\\\\\\":\\\\\\\"ncftest_topic_addition\\\\\\\",\\\\\\\"code\\\\\\\":\\\\\\\"addition\\\\\\\",\\\\\\\"name\\\\\\\":\\\\\\\"addition\\\\\\\",\\\\\\\"description\\\\\\\":\\\\\\\"Addition\\\\\\\",\\\\\\\"index\\\\\\\":1,\\\\\\\"category\\\\\\\":\\\\\\\"topic\\\\\\\",\\\\\\\"status\\\\\\\":\\\\\\\"Live\\\\\\\"}],\\\\\\\"name\\\\\\\":\\\\\\\"topic\\\\\\\",\\\\\\\"description\\\\\\\":\\\\\\\"Topics for NCFTEST\\\\\\\",\\\\\\\"index\\\\\\\":4,\\\\\\\"status\\\\\\\":\\\\\\\"Live\\\\\\\"},{\\\\\\\"identifier\\\\\\\":\\\\\\\"ncftest_gradelevel\\\\\\\",\\\\\\\"code\\\\\\\":\\\\\\\"gradeLevel\\\\\\\",\\\\\\\"terms\\\\\\\":[{\\\\\\\"identifier\\\\\\\":\\\\\\\"ncftest_gradelevel_class-1\\\\\\\",\\\\\\\"code\\\\\\\":\\\\\\\"class 1\\\\\\\",\\\\\\\"name\\\\\\\":\\\\\\\"class 1\\\\\\\",\\\\\\\"description\\\\\\\":\\\\\\\"Class 1\\\\\\\",\\\\\\\"index\\\\\\\":1,\\\\\\\"category\\\\\\\":\\\\\\\"gradeLevel\\\\\\\",\\\\\\\"status\\\\\\\":\\\\\\\"Live\\\\\\\"}],\\\\\\\"name\\\\\\\":\\\\\\\"gradeLevel\\\\\\\",\\\\\\\"description\\\\\\\":\\\\\\\"Grade Level for NCFTEST\\\\\\\",\\\\\\\"index\\\\\\\":5,\\\\\\\"status\\\\\\\":\\\\\\\"Live\\\\\\\"}]}\\\";\\n\\t\\tMap<String, Object> frameworkHierarchy = mapper.readValue(fwHierarchy,\\n\\t\\t\\t\\tnew TypeReference<Map<String, Object>>() {\\n\\t\\t\\t\\t});\\n\\t\\tCategoryCache.setFramework(\\\"NCFTEST\\\", frameworkHierarchy);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02396a6f218f5d7e3575ec696f6797ae\",\n \"score\": \"0.53781056\",\n \"text\": \"@Test\\n\\tpublic void TC070DBEC_13() {\\n\\t\\tcompanyControl.addLog(\\\"ID TC070DBEC_13 : Canbe add the brand and product on text box\\\");\\n\\t\\t/*\\n\\t\\t\\t1. Navigate to DTS portal\\n\\t\\t\\t2. Log into DTS portal as a DTS user successfully\\n\\t\\t\\t3. Click \\\"Companies\\\" tab\\n\\t\\t\\t4. Click \\\"Add Company\\\" link\\n\\t\\t\\t5. Click to \\\"Enable\\\" button Licensee Device\\n\\t\\t\\t6. Navigate the ''Licensed Product'' combo box\\n\\t\\t\\tVP: Canbe add the brand and product on text box\\n\\t\\t*/\\n\\t\\t// 1. Navigate to DTS portal\\n\\t\\t// 2. Log into DTS portal as a DTS user successfully\\n\\t\\tloginControl.login(SUPER_USER_NAME, SUPER_USER_PASSWORD);\\n\\t\\t// Create a published product\\n\\t\\tcompanyControl.click(PageHome.linkAccessories);\\n\\t\\tcompanyControl.click(ProductModel.ADD_PRODUCT);\\n\\t\\tHashtable<String,String> dataProduct = TestData.productData(PARTNER_COMPANY_NAME, PARTNER_BRAND_NAME_1, true, true, true);\\n\\t\\tproductWf.addProductAndPublish(dataProduct);\\n\\t\\t// 3. Click \\\"Companies\\\" tab\\n\\t\\tcompanyControl.click(PageHome.LINK_COMPANY);\\n\\t\\t// 4. Click \\\"Add Company\\\" link\\n\\t\\tcompanyControl.click(Companies.ADD_COMPANY);\\n\\t\\t// 5. Click to \\\"Enable\\\" button Licensee Device\\n\\t\\tcompanyControl.click(CompanyInfo.LICENSEE_DISABLE);\\n\\t\\t// 6. Navigate the ''Licensed Product'' combo box\\n\\t\\t// VP: Canbe add the brand and product on text box\\n\\t\\tcompanyControl.inputInboxHP(CompanyInfo.LICENSE_HEADPHONE, dataProduct.get(\\\"name\\\"));\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dc6dd13fe96420aa432550c3c6f1b8df\",\n \"score\": \"0.5321557\",\n \"text\": \"@Test\\n\\tpublic void TC052PMVE_25(){\\n\\t\\tresult.addLog(\\\"ID : TC052PMVE_25 : Verify that user can upload primary image file via 'Select File' button of 'Add Custom Image File' area successfully\\\");\\n\\t\\t/*\\n\\t\\t\\tPre-condition: Partner user has \\\"Add and manage Products\\\" rights.\\n\\t\\t\\t1. Log into DTS portal as a partner admin\\n\\t\\t\\t2. Navigate to \\\"Accessories\\\" page\\n\\t\\t\\t3. Select an product from Products table\\n\\t\\t\\t4. Verify that the 040P product Detail page is displayed\\n\\t\\t\\t5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\t\\tVP. Verify that the 052P Model Variant Edit page is displayed.\\n\\t\\t\\t6. Click \\\"Upload Custom Images\\\" link\\n\\t\\t\\tVP. Verify that the \\\"Add Custom Image File\\\" item is displayed.\\n\\t\\t\\t7. Click \\\"Select File\\\" button\\n\\t\\t\\t8. Upload an image file via dialog box\\n\\t\\t */\\n\\t\\t// 2. Navigate to \\\"Accessories\\\" page\\n\\t\\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\\n\\t\\t// 3. Create new product successfully\\n\\t\\thome.click(AccessoryMain.ADD_ACCESSORY);\\n\\t\\tHashtable<String,String> data = TestData.accessoryDraft();\\n\\t\\thome.addAccessoriesPartner(AddAccessory.getHash(), data);\\n\\t\\t//VP: Verify that the product info page is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AccessoryInfo.TITLE_NAME));\\n\\t\\t//5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\thome.click(AccessoryInfo.ADD_VARIANT);\\n\\t\\t//VP: verify that the add variant screen is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.TITLE));\\n\\t\\t//6. Click \\\"Upload Custom Images\\\" link\\n\\t\\thome.click(AddVariant.UPLOAD_CUSTOM_IMAGE);\\n\\t\\t//VP: Verify that all three \\\"Select file\\\" link is displayed for three catalog image\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_250));\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_500));\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.SELECT_FILE_IMAGE_1000));\\n\\t\\t// 7. Click \\\"Select File\\\" button\\n\\t\\t// 8. Upload an image file via dialog box\\n\\t\\thome.uploadFile(AddVariant.SELECT_FILE_IMAGE_250, Constant.IMG_NAME[0]);\\n\\t\\thome.uploadFile(AddVariant.SELECT_FILE_IMAGE_500, Constant.IMG_NAME[1]);\\n\\t\\thome.uploadFile(AddVariant.SELECT_FILE_IMAGE_1000, Constant.IMG_NAME[2]);\\n\\t\\t// VP: Three images are upload successfully.\\n\\t\\tAssert.assertTrue(home.getTextByXpath(AddVariant.CATALOG_IMAGE_UPLOAD_MESSAGE_250).contains(AddVariant.UPLOAD_FILE_MESSSAGE[0]));\\n\\t\\tAssert.assertTrue(home.getTextByXpath(AddVariant.CATALOG_IMAGE_UPLOAD_MESSAGE_500).contains(AddVariant.UPLOAD_FILE_MESSSAGE[0]));\\n\\t\\tAssert.assertTrue(home.getTextByXpath(AddVariant.CATALOG_IMAGE_UPLOAD_MESSAGE_1000).contains(AddVariant.UPLOAD_FILE_MESSSAGE[0]));\\n\\t\\t//Teardown: Delete product\\n\\t\\thome.deleteAnaccessorybyName(data.get(\\\"name\\\"));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ca6884c99b1db988e1cdae99fb6103c\",\n \"score\": \"0.5321284\",\n \"text\": \"@Test\\r\\n\\tpublic void CreateItemTest() {\\n\\t\\tresult = ItemTable.getInstance().createitem(\\\"9781442668584\\\");\\r\\n\\t\\tassertTrue(result.equals(true));\\r\\n\\t\\t\\r\\n\\t\\tList<Item> temp = ItemTable.getInstance().getItemTable();\\r\\n\\t\\tfor (int i=0; i<temp.size(); i++) {\\r\\n\\t\\t\\tif (temp.get(i).getISBN() == \\\"9781442668584\\\" && temp.get(i).getCopynumber() != \\\"1\\\") {\\r\\n\\t\\t\\t\\tassertTrue(temp.get(i).getCopynumber().equals(\\\"2\\\"));\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tif (!(temp.get(i).getCopynumber() == \\\"N/A\\\")) {\\r\\n\\t\\t\\t\\t\\tassertTrue(temp.get(i).getCopynumber().equals(\\\"1\\\"));\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t//Cannot create 2nd copy of book with out first copy\\r\\n\\t\\tresult = ItemTable.getInstance().createitem(\\\"1112223334444\\\");\\r\\n\\t\\tassertFalse(result.equals(true));\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"51d0e0477a67ceaf0872ae0eb33d8179\",\n \"score\": \"0.5305853\",\n \"text\": \"ItemProcess createItemProcess();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"424f03f0226418af3ef76da0b23b7eae\",\n \"score\": \"0.5241681\",\n \"text\": \"@Test\\n\\tpublic void TC052PMVE_13(){\\n\\t\\tresult.addLog(\\\"ID : TC052PMVE_13 :Verify that the Model Name with (Default) English is required when adding new accessory.\\\");\\n\\t\\t/*\\n\\t\\t\\tPre-condition: Partner user has \\\"Add and manage Products\\\" rights.\\n\\t\\t\\t1. Log into DTS portal as a partner admin\\n\\t\\t\\t2. Navigate to \\\"Accessories\\\" page\\n\\t\\t\\t3. Select an product from Products table\\n\\t\\t\\t4. Verify that the 040P product Detail page is displayed\\n\\t\\t\\t5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\t\\tVP. Verify that the 052P Model Variant Edit page is displayed.\\n\\t\\t\\t6. Fill valid value into all required fields but leaving Model Name empty\\n\\t\\t\\t7. Click \\\"Save\\\" link\\n\\t\\t*/\\n\\t\\t/*\\n\\t\\t * PreCondition: Create new product\\n\\t\\t */\\n\\t\\t// Navigate to Product page\\n\\t\\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\\n\\t\\t// Click Add product link\\n\\t\\thome.click(AccessoryMain.ADD_ACCESSORY);\\n\\t\\t// Create new product\\n\\t\\tHashtable<String,String> data = TestData.accessoryDraft();\\n\\t\\thome.addAccessoriesPartner(AddAccessory.getHash(), data);\\n\\t\\t/*\\n\\t\\t * **************************************************************\\n\\t\\t */\\n\\t\\t// 2. Navigate to \\\"Accessories\\\" page\\n\\t\\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\\n\\t\\t// 3. Select an accessory from accessories table\\n\\t\\thome.selectAnaccessorybyName(data.get(\\\"name\\\"));\\n\\t\\t// 4. Verify that the 040P Accessory Detail page is displayed\\n\\t\\tAssert.assertEquals(home.getTextByXpath(AccessoryInfo.TITLE_NAME), data.get(\\\"name\\\"));\\n\\t\\t// 5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\thome.click(AccessoryInfo.ADD_VARIANT);\\n\\t\\t// VP: Verify that the 052P Model Variant Edit page is displayed\\n\\t\\tAssert.assertEquals(home.existsElement(PartnerAddVariant.getElementsInfo()).getResult(), \\\"Pass\\\");\\t\\n\\t\\t// 6. Fill valid value into all required fields but leaving Model Name empty\\n\\t\\t// 7. Click \\\"Save\\\" link\\n\\t\\tHashtable<String,String> dataVariant = TestData.variantDraft();\\n\\t\\tdataVariant.remove(\\\"name\\\");\\n\\t\\thome.addVariant(AddVariant.getHash(), dataVariant);\\n\\t\\t/*\\n\\t\\t * A warning message is displayed which notifying the model name is empty\\n\\t\\t */\\n\\t\\tAssert.assertTrue(home.checkMessageDisplay(\\\"Model name is required.\\\"));\\n\\t\\t// Delete product\\n\\t\\thome.click(AddVariant.CANCEL);\\n\\t\\thome.doDelete(AccessoryInfo.DELETE);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"358ac7442ec7442201c301818268e09d\",\n \"score\": \"0.5235394\",\n \"text\": \"@Test\\n\\tpublic void createItem_AllFieldsAreValid_ItemCreated() throws Exception {\\n\\t\\tfinal String[] definitionFiles = { \\\"/com/cgi/commerce/repository/pointsCardRepository.xml\\\" };\\n\\t\\tlog.info(\\\" definitionFile[0]=\\\" + definitionFiles[0]);\\n\\n\\t\\t// Setup our testing configuration path\\n\\t\\t// RH: disabled logging (last argument to false) to get rid of the\\n\\t\\t// double logging statements\\n\\t\\tGSATestUtils.getGSATestUtils().initializeMinimalConfigpath(CONFIG_PATH, \\\"/PointsCardRepository\\\", definitionFiles,\\n\\t\\t\\t\\tDB_PROPS, null, null, null, false);\\n\\n\\t\\tboolean rollback = true;\\n\\n\\t\\tfinal TransactionDemarcation transactionDemarcation = new TransactionDemarcation();\\n\\t\\tfinal MutableRepository repository = (MutableRepository) nucleus.resolveName(\\\"/PointsCardRepository\\\");\\n\\n\\t\\ttry {\\n\\t\\t\\t// Start a new transaction\\n\\t\\t\\ttransactionDemarcation.begin(((GSARepository) repository).getTransactionManager());\\n\\t\\t\\t// Create the item\\n\\t\\t\\tfinal MutableRepositoryItem item = repository.createItem(\\\"pointsCard\\\");\\n\\t\\t\\titem.setPropertyValue(\\\"number\\\", \\\"C00001\\\");\\n\\t\\t\\t// Persist to the repository\\n\\t\\t\\trepository.addItem(item);\\n\\t\\t\\t// Try to get it back from the repository\\n\\t\\t\\tfinal String id = item.getRepositoryId();\\n\\t\\t\\tfinal RepositoryItem item2 = repository.getItem(id, \\\"pointsCard\\\");\\n\\t\\t\\tAssert.assertNotNull(\\\"We did not get back the item just created from the repository.\\\", item2);\\n\\t\\t\\trollback = false;\\n\\t\\t} finally {\\n\\t\\t\\t// End the transaction, roll back on error\\n\\t\\t\\tif (transactionDemarcation != null)\\n\\t\\t\\t\\ttransactionDemarcation.end(rollback);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b11920246454e1fc876d234702998ecf\",\n \"score\": \"0.52331805\",\n \"text\": \"@Test\\n public void testCreateNewOrderWithNewOrderItem() {\\n\\n Order order = orderService.create(\\n MOCK_CONTRACT_VALUE,\\n \\\"mockLicense\\\",\\n Order.Status.NEW,\\n \\\"orderItemName\\\",\\n \\\"orderItemDescription\\\",\\n \\\"orderItemType\\\",\\n \\\"http://clips.vorwaerts-gmbh.de/big_buck_bunny.mp4\\\");\\n\\n //asserting on business object\\n assertThat(order.getContract()).isEqualTo(MOCK_CONTRACT_VALUE);\\n assertThat(order.getLicensePlate()).isEqualTo(\\\"mockLicense\\\");\\n assertThat(order.getStatus()).isEqualTo(Order.Status.NEW);\\n assertThat(order.getOrderItems().size()).isEqualTo(1);\\n assertThat(order.getOrderItems().get(0).getMedias().size()).isEqualTo(1);\\n //asserting on business object\\n OrderItem firstOrderItemResult = order.getOrderItems().get(0);\\n assertThat(firstOrderItemResult.getItemName()).isEqualTo(\\\"orderItemName\\\");\\n assertThat(firstOrderItemResult.getDescription()).isEqualTo(\\\"orderItemDescription\\\");\\n assertThat(firstOrderItemResult.getItemType()).isEqualTo(\\\"orderItemType\\\");\\n assertThat(firstOrderItemResult.getStatus()).isEqualTo(OrderItem.Status.NEW);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0aa65f7932fa50e3c49c0d824078bca6\",\n \"score\": \"0.5232637\",\n \"text\": \"@Test\\n void newItem()\\n {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c82c4aef8798bed001ccad225f9affa5\",\n \"score\": \"0.5228969\",\n \"text\": \"@Override\\r\\n public void testReturnPolicy() throws Exception {\\r\\n Item tem = new Item();\\r\\n tem.setShippingTermsInDescription(false);\\r\\n List liship = new ArrayList();\\r\\n liship.add(\\\"CA\\\");\\r\\n tem.setShipToLocations(liship);\\r\\n tem.setDescription(\\\"Ce shi yong shang pin miao shu\\\");\\r\\n tem.setConditionID(1000);\\r\\n tem.setCountry(\\\"US\\\");\\r\\n tem.setCurrency(\\\"USD\\\");\\r\\n tem.setDispatchTimeMax(3);\\r\\n tem.setListingDuration(\\\"GTC\\\");\\r\\n tem.setListingType(\\\"FixedPriceItem\\\");\\r\\n List liPay = new ArrayList();\\r\\n liPay.add(\\\"PayPal\\\");\\r\\n tem.setPaymentMethods(liPay);\\r\\n tem.setPayPalEmailAddress(\\\"caixu23@gmail.com\\\");\\r\\n tem.setPostalCode(\\\"95125\\\");\\r\\n tem.setTitle(\\\"Ce shi yong shang pin\\\");\\r\\n tem.setSite(\\\"US\\\");\\r\\n tem.setSKU(\\\"YL987\\\");\\r\\n //tem.setQuantity(5);\\r\\n // StartPrice sp = new StartPrice(\\\"USD\\\",19.99);\\r\\n //tem.setStartPrice(sp);\\r\\n tem.setGetItFast(false);\\r\\n\\r\\n BuyerRequirementDetails brd = new BuyerRequirementDetails();\\r\\n brd.setLinkedPayPalAccount(true);\\r\\n brd.setShipToRegistrationCountry(false);\\r\\n brd.setZeroFeedbackScore(true);\\r\\n //brd.setMinimumFeedbackScore(-1);\\r\\n MaximumBuyerPolicyViolations mbpv = new MaximumBuyerPolicyViolations();\\r\\n mbpv.setCount(4);\\r\\n mbpv.setPeriod(\\\"Days_30\\\");\\r\\n brd.setMaximumBuyerPolicyViolations(mbpv);\\r\\n\\r\\n MaximumItemRequirements mir = new MaximumItemRequirements();\\r\\n mir.setMaximumItemCount(2);\\r\\n mir.setMinimumFeedbackScore(1);\\r\\n brd.setMaximumItemRequirements(mir);\\r\\n\\r\\n MaximumUnpaidItemStrikesInfo muis = new MaximumUnpaidItemStrikesInfo();\\r\\n muis.setCount(2);\\r\\n muis.setPeriod(\\\"Days_30\\\");\\r\\n brd.setMaximumUnpaidItemStrikesInfo(muis);\\r\\n\\r\\n VerifiedUserRequirements vur = new VerifiedUserRequirements();\\r\\n vur.setMinimumFeedbackScore(3);\\r\\n vur.setVerifiedUser(false);\\r\\n brd.setVerifiedUserRequirements(vur);\\r\\n\\r\\n tem.setBuyerRequirementDetails(brd);\\r\\n\\r\\n PictureDetails pd = new PictureDetails();\\r\\n List li = new ArrayList();\\r\\n li.add(\\\"http://i12.ebayimg.com/03/i/04/8a/5f/a1_1_sbl.JPG\\\");\\r\\n li.add(\\\"http://i22.ebayimg.com/01/i/04/8e/53/69_1_sbl.JPG\\\");\\r\\n li.add(\\\"http://i4.ebayimg.ebay.com/01/i/000/77/3c/d88f_1_sbl.JPG\\\");\\r\\n pd.setPictureURL(li);\\r\\n tem.setPictureDetails(pd);\\r\\n\\r\\n ReturnPolicy rp = new ReturnPolicy();\\r\\n rp.setReturnsWithinOption(\\\"Days_60\\\");\\r\\n rp.setShippingCostPaidByOption(\\\"Buyer\\\");\\r\\n rp.setDescription(\\\"Text description of return policy details\\\");\\r\\n rp.setRefundOption(\\\"MoneyBack\\\");\\r\\n rp.setReturnsAcceptedOption(\\\"ReturnsAccepted\\\");\\r\\n tem.setReturnPolicy(rp);\\r\\n\\r\\n ShippingDetails sd = new ShippingDetails();\\r\\n\\r\\n CalculatedShippingRate csr = new CalculatedShippingRate();\\r\\n csr.setOriginatingPostalCode(\\\"95125\\\");\\r\\n csr.setPackageDepth(6);\\r\\n csr.setPackageLength(7);\\r\\n csr.setPackageWidth(7);\\r\\n csr.setShippingPackage(\\\"PackageThickEnvelope\\\");\\r\\n csr.setWeightMinor(0);\\r\\n csr.setWeightMajor(2);\\r\\n sd.setCalculatedShippingRate(csr);\\r\\n\\r\\n sd.setPaymentInstructions(\\\"Payment must be received within 7 business days of purchase.\\\");\\r\\n SalesTax st = new SalesTax();\\r\\n st.setSalesTaxPercent(8.75f);\\r\\n st.setSalesTaxState(\\\"CA\\\");\\r\\n sd.setSalesTax(st);\\r\\n\\r\\n\\r\\n /*InternationalShippingServiceOption iss = new InternationalShippingServiceOption();\\r\\n iss.setShippingService(\\\"UPSWorldWideExpressPlus\\\");\\r\\n iss.setShippingServicePriority(2);\\r\\n ShippingServiceAdditionalCost ssac = new ShippingServiceAdditionalCost(\\\"USD\\\",4.00);\\r\\n ShippingServiceCost ssc = new ShippingServiceCost(\\\"USD\\\",4.00);\\r\\n iss.setShippingServiceCost(ssc);\\r\\n iss.setShippingServiceAdditionalCost(ssac);\\r\\n List liShip = new ArrayList();\\r\\n liShip.add(\\\"CA\\\");\\r\\n iss.setShipToLocation(liShip);\\r\\n List liss = new ArrayList();\\r\\n liss.add(iss);\\r\\n sd.setInternationalShippingServiceOption(liss);*/\\r\\n sd.setShippingType(\\\"Calculated\\\");\\r\\n\\r\\n ShippingServiceOptions sso = new ShippingServiceOptions();\\r\\n sso.setFreeShipping(true);\\r\\n sso.setShippingService(\\\"USPSPriority\\\");\\r\\n sso.setShippingServicePriority(1);\\r\\n //sso.setShippingServiceCost(new ShippingServiceCost(\\\"USD\\\", 1.00));\\r\\n //sso.setShippingServiceAdditionalCost(new ShippingServiceAdditionalCost(\\\"USD\\\", 1));\\r\\n ShippingServiceOptions sso2 = new ShippingServiceOptions();\\r\\n //sso2.setFreeShipping(false);\\r\\n sso2.setShippingService(\\\"UPSGround\\\");\\r\\n sso2.setShippingServicePriority(2);\\r\\n //sso2.setShippingServiceCost(new ShippingServiceCost(\\\"USD\\\", 2.00));\\r\\n //sso2.setShippingServiceAdditionalCost(new ShippingServiceAdditionalCost(\\\"USD\\\", 2));\\r\\n ShippingServiceOptions sso3 = new ShippingServiceOptions();\\r\\n sso3.setShippingService(\\\"UPSNextDay\\\");\\r\\n sso3.setShippingServicePriority(3);\\r\\n List lisso = new ArrayList();\\r\\n lisso.add(sso);\\r\\n lisso.add(sso2);\\r\\n lisso.add(sso3);\\r\\n sd.setShippingServiceOptions(lisso);\\r\\n tem.setShippingDetails(sd);\\r\\n\\r\\n\\r\\n ItemSpecifics is = new ItemSpecifics();\\r\\n NameValueList nvl = new NameValueList();\\r\\n nvl.setName(\\\"Occasion\\\");\\r\\n List livalue1 = new ArrayList();\\r\\n livalue1.add(\\\"Casual\\\");\\r\\n nvl.setValue(livalue1);\\r\\n List linv = new ArrayList();\\r\\n NameValueList nvl1 = new NameValueList();\\r\\n nvl1.setName(\\\"Brand\\\");\\r\\n List li1 = new ArrayList();\\r\\n li1.add(\\\"Ralph Lauren\\\");\\r\\n nvl1.setValue(li1);\\r\\n NameValueList nvl2 = new NameValueList();\\r\\n nvl2.setName(\\\"Style\\\");\\r\\n List li2 = new ArrayList();\\r\\n li2.add(\\\"Polo Shirt\\\");\\r\\n nvl2.setValue(li2);\\r\\n NameValueList nvl3 = new NameValueList();\\r\\n nvl3.setName(\\\"Sleeve Style\\\");\\r\\n List li3 = new ArrayList();\\r\\n li3.add(\\\"Short Sleeve\\\");\\r\\n nvl3.setValue(li3);\\r\\n\\r\\n linv.add(nvl3);\\r\\n linv.add(nvl2);\\r\\n linv.add(nvl);\\r\\n linv.add(nvl1);\\r\\n is.setNameValueList(linv);\\r\\n tem.setItemSpecifics(is);\\r\\n\\r\\n PrimaryCategory pc = new PrimaryCategory();\\r\\n pc.setCategoryID(\\\"37565\\\");\\r\\n tem.setPrimaryCategory(pc);\\r\\n\\r\\n Variations var = new Variations();\\r\\n VariationSpecificsSet vss = new VariationSpecificsSet();\\r\\n List livss = new ArrayList();\\r\\n NameValueList vssnv1 = new NameValueList();\\r\\n vssnv1.setName(\\\"Size\\\");\\r\\n List liva1 = new ArrayList();\\r\\n liva1.add(\\\"XS\\\");\\r\\n liva1.add(\\\"S\\\");\\r\\n liva1.add(\\\"M\\\");\\r\\n liva1.add(\\\"L\\\");\\r\\n liva1.add(\\\"XL\\\");\\r\\n vssnv1.setValue(liva1);\\r\\n\\r\\n NameValueList vssnv2 = new NameValueList();\\r\\n vssnv2.setName(\\\"Color\\\");\\r\\n List liva2 = new ArrayList();\\r\\n liva2.add(\\\"Black\\\");\\r\\n liva2.add(\\\"Pink\\\");\\r\\n liva2.add(\\\"Yellow\\\");\\r\\n liva2.add(\\\"Blue\\\");\\r\\n vssnv2.setValue(liva2);\\r\\n livss.add(vssnv2);\\r\\n livss.add(vssnv1);\\r\\n vss.setNameValueList(livss);\\r\\n var.setVariationSpecificsSet(vss);\\r\\n Variation vtion1 = new Variation();\\r\\n List vtLi = new ArrayList();\\r\\n vtion1.setSKU(\\\"RLauren_Wom_TShirt_Pnk_S\\\");\\r\\n vtion1.setStartPrice(new StartPrice(\\\"USD\\\",17.99));\\r\\n vtion1.setQuantity(4);\\r\\n VariationSpecifics vs1 = new VariationSpecifics();\\r\\n List vs1li = new ArrayList();\\r\\n List vsli = new ArrayList();\\r\\n NameValueList vsnvl1 = new NameValueList();\\r\\n vsnvl1.setName(\\\"Color\\\");\\r\\n List vsli1 = new ArrayList();\\r\\n vsli1.add(\\\"Pink\\\");\\r\\n vsnvl1.setValue(vsli1);\\r\\n vs1li.add(vsnvl1);\\r\\n NameValueList vsnvl2 = new NameValueList();\\r\\n vsnvl2.setName(\\\"Size\\\");\\r\\n List vsli2 = new ArrayList();\\r\\n vsli2.add(\\\"S\\\");\\r\\n vsnvl2.setValue(vsli2);\\r\\n vs1li.add(vsnvl2);\\r\\n vs1.setNameValueList(vs1li);\\r\\n vsli.add(vs1);\\r\\n vtion1.setVariationSpecifics(vsli);\\r\\n\\r\\n Variation vtion2 = new Variation();\\r\\n vtion2.setSKU(\\\"RLauren_Wom_TShirt_Pnk_M\\\");\\r\\n vtion2.setStartPrice(new StartPrice(\\\"USD\\\", 17.99));\\r\\n vtion2.setQuantity(8);\\r\\n VariationSpecifics vs2 = new VariationSpecifics();\\r\\n List vs22 = new ArrayList();\\r\\n List vs2li = new ArrayList();\\r\\n NameValueList vs2nvl1 = new NameValueList();\\r\\n vs2nvl1.setName(\\\"Color\\\");\\r\\n List vs2nvlli1=new ArrayList();\\r\\n vs2nvlli1.add(\\\"Pink\\\");\\r\\n vs2nvl1.setValue(vs2nvlli1);\\r\\n NameValueList vs2nvl2 = new NameValueList();\\r\\n vs2nvl2.setName(\\\"Size\\\");\\r\\n List vs2nvlli2=new ArrayList();\\r\\n vs2nvlli2.add(\\\"M\\\");\\r\\n vs2nvl2.setValue(vs2nvlli2);\\r\\n vs2li.add(vs2nvl1);\\r\\n vs2li.add(vs2nvl2);\\r\\n vs2.setNameValueList(vs2li);\\r\\n vs22.add(vs2);\\r\\n vtion2.setVariationSpecifics(vs22);\\r\\n\\r\\n Variation vtion3 = new Variation();\\r\\n vtion3.setSKU(\\\"RLauren_Wom_TShirt_Blk_S\\\");\\r\\n vtion3.setStartPrice(new StartPrice(\\\"USD\\\",20.00));\\r\\n vtion3.setQuantity(10);\\r\\n VariationSpecifics vs3 = new VariationSpecifics();\\r\\n List vs33 = new ArrayList();\\r\\n List vs3li = new ArrayList();\\r\\n NameValueList vs3nvl1 = new NameValueList();\\r\\n vs3nvl1.setName(\\\"Color\\\");\\r\\n List vs3nvlli1=new ArrayList();\\r\\n vs3nvlli1.add(\\\"Black\\\");\\r\\n vs3nvl1.setValue(vs3nvlli1);\\r\\n NameValueList vs3nvl2 = new NameValueList();\\r\\n vs3nvl2.setName(\\\"Size\\\");\\r\\n List vs3nvlli2=new ArrayList();\\r\\n vs3nvlli2.add(\\\"S\\\");\\r\\n vs3nvl2.setValue(vs3nvlli2);\\r\\n vs3li.add(vs3nvl1);\\r\\n vs3li.add(vs3nvl2);\\r\\n vs3.setNameValueList(vs3li);\\r\\n vs33.add(vs3);\\r\\n vtion3.setVariationSpecifics(vs33);\\r\\n\\r\\n Variation vtion4 = new Variation();\\r\\n vtion4.setSKU(\\\"RLauren_Wom_TShirt_Blk_M\\\");\\r\\n vtion4.setStartPrice(new StartPrice(\\\"USD\\\",20.00));\\r\\n vtion4.setQuantity(10);\\r\\n VariationSpecifics vs4 = new VariationSpecifics();\\r\\n List vs44 = new ArrayList();\\r\\n List vs4li = new ArrayList();\\r\\n NameValueList vs4nvl1 = new NameValueList();\\r\\n vs4nvl1.setName(\\\"Color\\\");\\r\\n List vs4nvlli1=new ArrayList();\\r\\n vs4nvlli1.add(\\\"Black\\\");\\r\\n vs4nvl1.setValue(vs4nvlli1);\\r\\n NameValueList vs4nvl2 = new NameValueList();\\r\\n vs4nvl2.setName(\\\"Size\\\");\\r\\n List vs4nvlli2=new ArrayList();\\r\\n vs4nvlli2.add(\\\"M\\\");\\r\\n vs4nvl2.setValue(vs4nvlli2);\\r\\n vs4li.add(vs4nvl1);\\r\\n vs4li.add(vs4nvl2);\\r\\n vs4.setNameValueList(vs4li);\\r\\n vs44.add(vs4);\\r\\n vtion4.setVariationSpecifics(vs44);\\r\\n\\r\\n Variation vtion5 = new Variation();\\r\\n vtion5.setSKU(\\\"RLauren_Wom_TShirt_Blu_S\\\");\\r\\n vtion5.setStartPrice(new StartPrice(\\\"USD\\\",20.00));\\r\\n vtion5.setQuantity(10);\\r\\n VariationSpecifics vs5 = new VariationSpecifics();\\r\\n List vs55 = new ArrayList();\\r\\n List vs5li = new ArrayList();\\r\\n NameValueList vs5nvl1 = new NameValueList();\\r\\n vs5nvl1.setName(\\\"Color\\\");\\r\\n List vs5nvlli1=new ArrayList();\\r\\n vs5nvlli1.add(\\\"Blue\\\");\\r\\n vs5nvl1.setValue(vs5nvlli1);\\r\\n NameValueList vs5nvl2 = new NameValueList();\\r\\n vs5nvl2.setName(\\\"Size\\\");\\r\\n List vs5nvlli2=new ArrayList();\\r\\n vs5nvlli2.add(\\\"S\\\");\\r\\n vs5nvl2.setValue(vs5nvlli2);\\r\\n vs5li.add(vs5nvl1);\\r\\n vs5li.add(vs5nvl2);\\r\\n vs5.setNameValueList(vs5li);\\r\\n vs55.add(vs5);\\r\\n vtion5.setVariationSpecifics(vs55);\\r\\n\\r\\n Variation vtion6 = new Variation();\\r\\n vtion6.setSKU(\\\"RLauren_Wom_TShirt_Blu_M\\\");\\r\\n vtion6.setStartPrice(new StartPrice(\\\"USD\\\",20.00));\\r\\n vtion6.setQuantity(10);\\r\\n VariationSpecifics vs6 = new VariationSpecifics();\\r\\n List vs66 = new ArrayList();\\r\\n List vs6li = new ArrayList();\\r\\n NameValueList vs6nvl1 = new NameValueList();\\r\\n vs6nvl1.setName(\\\"Color\\\");\\r\\n List vs6nvlli1=new ArrayList();\\r\\n vs6nvlli1.add(\\\"Blue\\\");\\r\\n vs6nvl1.setValue(vs6nvlli1);\\r\\n NameValueList vs6nvl2 = new NameValueList();\\r\\n vs6nvl2.setName(\\\"Size\\\");\\r\\n List vs6nvlli2=new ArrayList();\\r\\n vs6nvlli2.add(\\\"M\\\");\\r\\n vs6nvl2.setValue(vs6nvlli2);\\r\\n vs6li.add(vs6nvl1);\\r\\n vs6li.add(vs6nvl2);\\r\\n vs6.setNameValueList(vs6li);\\r\\n vs66.add(vs6);\\r\\n vtion6.setVariationSpecifics(vs66);\\r\\n\\r\\n\\r\\n vtLi.add(vtion1);\\r\\n vtLi.add(vtion2);\\r\\n vtLi.add(vtion3);\\r\\n vtLi.add(vtion4);\\r\\n vtLi.add(vtion5);\\r\\n vtLi.add(vtion6);\\r\\n var.setVariation(vtLi);\\r\\n\\r\\n Pictures pic = new Pictures();\\r\\n pic.setVariationSpecificName(\\\"Color\\\");\\r\\n VariationSpecificPictureSet vsps1 = new VariationSpecificPictureSet();\\r\\n vsps1.setVariationSpecificValue(\\\"Pink\\\");\\r\\n List livsp1=new ArrayList();\\r\\n livsp1.add(\\\"http://i12.ebayimg.com/03/i/04/8a/5f/a1_1_sbl.JPG\\\");\\r\\n livsp1.add(\\\"http://i12.ebayimg.com/03/i/04/8a/5f/a1_1_sb2.JPG\\\");\\r\\n vsps1.setPictureURL(livsp1);\\r\\n\\r\\n VariationSpecificPictureSet vsps2 = new VariationSpecificPictureSet();\\r\\n vsps2.setVariationSpecificValue(\\\"Blue\\\");\\r\\n List livsp2=new ArrayList();\\r\\n livsp2.add(\\\"http://i22.ebayimg.com/01/i/04/8e/53/69_1_sbl.JPG\\\");\\r\\n livsp2.add(\\\"http://i22.ebayimg.com/01/i/04/8e/53/69_1_sb2.JPG\\\");\\r\\n livsp2.add(\\\"http://i22.ebayimg.com/01/i/04/8e/53/69_1_sb3.JPG\\\");\\r\\n vsps2.setPictureURL(livsp2);\\r\\n\\r\\n VariationSpecificPictureSet vsps3 = new VariationSpecificPictureSet();\\r\\n vsps3.setVariationSpecificValue(\\\"Black\\\");\\r\\n List livsp3=new ArrayList();\\r\\n livsp3.add(\\\"http://i4.ebayimg.ebay.com/01/i/000/77/3c/d88f_1_sbl.JPG\\\");\\r\\n vsps3.setPictureURL(livsp3);\\r\\n\\r\\n VariationSpecificPictureSet vsps4 = new VariationSpecificPictureSet();\\r\\n vsps4.setVariationSpecificValue(\\\"Yellow\\\");\\r\\n List livsp4=new ArrayList();\\r\\n livsp4.add(\\\"http://i4.ebayimg.ebay.com/01/i/000/77/3c/d88f_1_sbl.JPG\\\");\\r\\n vsps4.setPictureURL(livsp4);\\r\\n List vspli = new ArrayList();\\r\\n vspli.add(vsps1);\\r\\n vspli.add(vsps2);\\r\\n vspli.add(vsps3);\\r\\n vspli.add(vsps4);\\r\\n pic.setVariationSpecificPictureSet(vspli);\\r\\n var.setPictures(pic);\\r\\n tem.setVariations(var);\\r\\n TradingItemWithBLOBs pojo = this.iTradingItem.toDAOPojo(tem);\\r\\n //ConvertPOJOUtil.convert(pojo,tem);\\r\\n\\r\\n TradingBuyerRequirementDetails tbrd = this.iTradingBuyerRequirementDetails.toDAOPojo(brd);\\r\\n iTradingBuyerRequirementDetails.saveBuyerRequirementDetails(tbrd);\\r\\n\\r\\n TradingReturnpolicy trys = this.itradingReturnpolicy.toDAOPojo(rp);\\r\\n this.itradingReturnpolicy.saveTradingReturnpolicy(trys);\\r\\n\\r\\n pojo.setReturnpolicyId(trys.getId());\\r\\n pojo.setBuyerId(tbrd.getId());\\r\\n\\r\\n this.iTradingItem.saveTradingItem(pojo);\\r\\n\\r\\n //TradingReturnpolicy tr = this.itradingReturnpolicy.toDAOPojo(rp);\\r\\n //this.itradingReturnpolicy.saveTradingReturnpolicy(tr);\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"911fd47ff6478f703c901c863d5cb109\",\n \"score\": \"0.52206826\",\n \"text\": \"@Test\\n public void missingAPP2Composite() {\\n \\tobrmanhelper.waitForIt(1000);\\n try {\\n \\tobrmanhelper.createCompositeType(\\\"APP1.2\\\", \\\"APP1_MAIN\\\", null);\\n } catch (IOException e) {\\n fail(e.getMessage());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"681464d61b3f90b3504ca2d65adb2f96\",\n \"score\": \"0.51974297\",\n \"text\": \"@Test\\n public void testAddItem() {\\n System.out.println(\\\"Commencing Test For Adding Products.\\\");\\n ShoppingCart instance = new ShoppingCart();//create shopping cart object\\n Product iPhone = new Product(\\\"iPhone 7\\\", 200.00);//create iphone to add\\n //Product item = null;\\n instance.addItem(iPhone);//add 1 item, which is iphone\\n // TODO review the generated test code and remove the default call to fail.\\n int result = instance.getItemCount(); //test/get the new count\\n System.out.println(\\\"Result Is: \\\" + result + \\\" Expected Value Was: 1\\\");\\n if (result == 1)//if cout is 1, we added 1 item passed\\n System.out.println(\\\"Test Passed!\\\\n\\\");\\n else\\n {\\n System.out.println(\\\"Test Failed.\\\\n\\\");\\n fail(\\\"Test Failed.\\\");\\n }\\n //fail(\\\"The test case is a prototype.\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"803a594a56a9da7719f79885376567cd\",\n \"score\": \"0.5196725\",\n \"text\": \"@Test\\n\\tpublic void createBeer() {\\n\\n\\t\\tfinal String name = \\\"Leermond Bier\\\";\\n\\t\\tfinal String brand = \\\"Appenzeller Bier\\\";\\n\\t\\tfinal long beertypeId = 22;\\n\\t\\tfinal long breweryId = 71;\\n\\n\\t\\tfinal JSONObject newBeerJson = new JSONObject();\\n\\t\\ttry {\\n\\t\\t\\tnewBeerJson.put(\\\"name\\\", name);\\n\\t\\t\\tnewBeerJson.put(\\\"brand\\\", brand);\\n\\t\\t\\tnewBeerJson.put(\\\"beertype\\\", beertypeId);\\n\\t\\t\\tnewBeerJson.put(\\\"brewery\\\", breweryId);\\n\\t\\t} catch (JSONException e) {\\n\\t\\t\\tAssert.fail();\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\tfinal String uri = Res.PUBLIC_API_URL + Res.BEER_COLLECTION;\\n\\t\\tfinal String newBeerJSONString = postJson(uri, newBeerJson);\\n\\n\\t\\ttry {\\n\\t\\t\\tfinal JSONObject beer = new JSONObject(newBeerJSONString);\\n\\t\\t\\tAssert.assertEquals(name, beer.getString(\\\"name\\\"));\\n\\t\\t\\tAssert.assertEquals(brand, beer.getString(\\\"brand\\\"));\\n\\n\\t\\t\\tAssert.assertEquals(Res.getResourceUri(new BreweryModel(breweryId)), beer.getJSONObject(\\\"brewery\\\").getString(\\\"uri\\\"));\\n\\t\\t\\tAssert.assertEquals(Res.getResourceUri(new BeertypeModel(beertypeId)), beer.getJSONObject(\\\"beertype\\\").getString(\\\"uri\\\"));\\n\\n\\t\\t} catch (JSONException e) {\\n\\t\\t\\tAssert.fail();\\n\\t\\t\\te.printStackTrace();\\n\\t\\t} catch (NotFoundException e) {\\n\\t\\t\\tAssert.fail();\\n\\t\\t\\te.printStackTrace();\\n\\t\\t} catch (WrongNodeTypeException e) {\\n\\t\\t\\tAssert.fail();\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7711bdd922c8014fefd61f77dc4c4829\",\n \"score\": \"0.51958984\",\n \"text\": \"public abstract void setTestItem();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02c928d4f3fa955c5e95ff2590c3ada4\",\n \"score\": \"0.51953256\",\n \"text\": \"@Test\\n public void testAddItem() {\\n System.out.println(\\\"addItem\\\");\\n Product p = new Product(\\\"Toy\\\",\\\"Mattel\\\",\\\"1234567890\\\");\\n SalesTransaction instance = new SalesTransaction(\\\"SC001\\\");\\n instance.addItem(p);\\n // TODO review the generated test code and remove the default call to fail.\\n //fail(\\\"The test case is a prototype.\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1193ad9ec27336969ab209cc274b2b18\",\n \"score\": \"0.5193804\",\n \"text\": \"@Test(expected=IllegalArgumentException.class)\\n public void missingCiContentReference() throws IOException{\\n contentItemFactory.createContentItem((ContentReference)null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c088974443e4e4cd17e4203429a18508\",\n \"score\": \"0.5182328\",\n \"text\": \"public void testCreate() throws Exception {\\n GroupContestEligibility entity = new GroupContestEligibility();\\n entity.setContestId(111);\\n entity.setStudio(true);\\n entity.setGroupId(222);\\n ContestEligibility created = instance.create(entity);\\n assertTrue(\\\"The created entity id should be 111\\\", (created.getContestId() == 111));\\n assertTrue(\\\"The created entity id should not be 0\\\", (created.getId() > 0));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ebf97b2a16f4b7f4c665f2be51391ea5\",\n \"score\": \"0.51817805\",\n \"text\": \"@Test\\n public void addGeneralGoods() {\\n manifestDialogEnterText(prepareManifestDialog(), STACKS_1, HEIGHT_1, WEIGHT_30);\\n loadContainer(GENERAL_GOODS, CODE_1, WEIGHT_20, null, null);\\n if (frameUnderTest instanceof CargoTextFrame) {\\n String expected = START_BARS + CODE_1 + END_BARS + NEW_LINE;\\n assertEquals(expected, testFrame.textBox(CARGO_TEXT_AREA).text());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3571e969b71a081b1f962dbd96fcb556\",\n \"score\": \"0.51783955\",\n \"text\": \"public void test_create_2() throws Exception {\\r\\n \\tProjectPayment obj = new ProjectPayment();\\r\\n \\tobj.setAmount(null);\\r\\n \\tobj.setCreateDate(new Date());\\r\\n \\tobj.setPactsPaymentId(1L);\\r\\n \\t\\r\\n \\tobj.setProjectPaymentType(paymenttype);\\r\\n \\tobj.setResourceId(1L);\\r\\n \\tobj.setSubmissionId(2L);\\r\\n try {\\r\\n instance.create(obj, \\\"testOperator\\\");\\r\\n fail(\\\"ProjectPaymentValidationException expected.\\\");\\r\\n } catch (ProjectPaymentValidationException iae) {\\r\\n //good\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"671fa317e292cf0519edfbd6b53a50e6\",\n \"score\": \"0.515457\",\n \"text\": \"public void test_create_3() throws Exception {\\r\\n \\tProjectPayment obj = new ProjectPayment();\\r\\n \\tobj.setAmount(new BigDecimal(-1));\\r\\n \\tobj.setCreateDate(new Date());\\r\\n \\tobj.setPactsPaymentId(1L);\\r\\n \\t\\r\\n \\tobj.setProjectPaymentType(paymenttype);\\r\\n \\tobj.setResourceId(1L);\\r\\n \\tobj.setSubmissionId(2L);\\r\\n try {\\r\\n instance.create(obj, \\\"testOperator\\\");\\r\\n fail(\\\"ProjectPaymentValidationException expected.\\\");\\r\\n } catch (ProjectPaymentValidationException iae) {\\r\\n //good\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa48771f478b9df3bf7c11a1b5c53b4d\",\n \"score\": \"0.5152127\",\n \"text\": \"@Test\\n\\tpublic void createScenarioWithFlowControl() throws Exception {\\n\\t\\tFile f = new File(ScenariosManager.getInstance().getScenariosDirectoryFiles(),\\\"scenarios/ApiScenarioWithFor.xml\\\");\\n\\t\\tf.delete();\\n\\t\\t\\n\\t\\tScenario s = new Scenario(ScenariosManager.getInstance().getScenariosDirectoryFiles(),\\\"scenarios/ApiScenarioWithFor\\\");\\n\\t\\tAntForLoop loop = new AntForLoop();\\n\\t\\tloop.setLoopValuesList(\\\"1;2;3;4\\\");\\n\\t\\tRunnerTest t1 = new RunnerTest(\\\"com.aqua.services.multiuser.TestParametersExample\\\",\\\"testPing\\\");\\n\\t\\tRunnerTest t2 = new RunnerTest(\\\"com.aqua.services.junit4.JUnit4Example\\\",\\\"myTestMethod\\\");\\n\\t\\tloop.addTest(t1);\\n\\t\\tloop.addTest(t2);\\n\\t\\ts.addTest(loop);\\n\\t\\ts.save();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a580edcd454981e1bf918d3f6861511d\",\n \"score\": \"0.5147721\",\n \"text\": \"@Test\\n public void AddBudgetItemTest() {\\n onView(allOf(withId(R.id.AddBudgetItemButton), isDisplayed())).perform(click());\\n\\n /* pick date in addBudgetItemWindowDateEditText */\\n onView(withId(R.id.addBudgetItemWindowDateEditText)).perform(click());\\n int year = LocalDate.now().getYear();\\n int monthOfYear = LocalDate.now().getMonthValue();\\n int dayOfMonth = LocalDate.now().getDayOfMonth();\\n onView(allOf(withClassName(Matchers.equalTo(DatePicker.class.getName())), isDisplayed())).\\n perform(PickerActions.setDate(year, monthOfYear, dayOfMonth));\\n\\n /* click ok button in the datePicker */\\n onView(withId(android.R.id.button1)).perform(click());\\n\\n /* write value to addBudgetItemWindowValueEditText */\\n Random random = new Random();\\n DecimalFormat decimalFormat = new DecimalFormat();\\n decimalFormat.setMaximumFractionDigits(2);\\n String value = decimalFormat.format(random.nextFloat() * 500);\\n onView(withId(R.id.addBudgetItemWindowValueEditText)).perform(typeText(value));\\n\\n /* click on addBudgetItemWindowDoneButton */\\n onView(allOf(withId(R.id.addBudgetItemWindowDoneButton), isDisplayed())).perform(click());\\n\\n /* check if the added item is displayed */\\n DateTimeFormatter dateTimeFormatter = DateTimeFormatter.ofPattern(\\\"dd/MM/yyyy\\\");\\n String date = LocalDate.now().format(dateTimeFormatter);\\n onView(allOf(withId(R.id.budgetRecyclerView), isDisplayed())).perform(RecyclerViewActions.scrollTo\\n (allOf(hasDescendant(withText(date)), hasDescendant(withText(containsString(value))))));\\n onView(allOf(withId(R.id.budgetRecyclerView), isDisplayed())).check(matches(allOf(hasDescendant(withText(date)),\\n hasDescendant(withText(containsString(value))))));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b80c7c9164b1fbf9f48cde35c626556\",\n \"score\": \"0.51451796\",\n \"text\": \"@Override\\r\\n public ItemEntity createItem(String rfId, String status, String remarks, RetailerEntity retailerId) {\\r\\n itemEN = new ItemEntity();\\r\\n\\r\\n itemEN.setRfId(Long.valueOf(rfId));\\r\\n itemEN.setRemarks(remarks);\\r\\n itemEN.setStatus(status);\\r\\n itemEN.setRetailer(retailerId);\\r\\n\\r\\n em.persist(itemEN);\\r\\n em.flush();\\r\\n\\r\\n return itemEN;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9be4a13def0d3b082623d1617c4d9311\",\n \"score\": \"0.514049\",\n \"text\": \"@Test(description = \\\"positive test with add of a parent\\\")\\n public void t8b_positiveTestParentAdded()\\n throws Exception\\n {\\n this.createNewData(\\\"Test\\\")\\n .defData(\\\"derived\\\", new InterfaceData(this, \\\"Test Parent 1\\\"))\\n .create()\\n .defData(\\\"derived\\\", new InterfaceData(this, \\\"Test Parent 2\\\"))\\n .createDependings()\\n .update(\\\"\\\")\\n .checkExport();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"13054025d72ea16cf3c6631b5a220008\",\n \"score\": \"0.513555\",\n \"text\": \"@Test(priority = 6,enabled =false)\\n\\tpublic void industryType() {\\n\\t\\tcreateproject.selectIndustry();\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43c6ed3906305ce1063b5017542525af\",\n \"score\": \"0.5132986\",\n \"text\": \"@Test(priority=4, dataProvider=\\\"getCreateProductTestData\\\")\\r\\n\\t\\tpublic void verifyCreationOfNewProduct(String fName, String prodId, String desc, String consentTerms, String keyMessage) throws IOException, InterruptedException{\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tclickOn(driver, ProductPage.btnAddProduct, TestUtil.EXPLICIT_WAIT);\\r\\n\\t\\t\\tThread.sleep(5000);\\r\\n\\t\\t\\tdriver.navigate().refresh();\\r\\n\\t\\t\\tdriver.switchTo().frame(\\\"contentIFrame0\\\");\\r\\n\\t\\t\\tSystem.out.println(\\\"inside frame\\\");\\r\\n\\t\\t\\tThread.sleep(6000);\\r\\n\\t\\t\\tclickOn(driver, ProductPage.tf1Name, TestUtil.EXPLICIT_WAIT);\\r\\n\\t\\t\\tProductPage.tfName.clear();\\r\\n\\t\\t ProductPage.tfName.sendKeys(fName);\\r\\n\\t\\t\\t\\r\\n\\t\\t clickOn(driver, ProductPage.tf1ProductId, TestUtil.EXPLICIT_WAIT);\\r\\n\\t\\t ProductPage.tfProductId.clear();\\r\\n\\t\\t ProductPage.tfProductId.sendKeys(prodId);\\r\\n\\t\\t \\r\\n\\t\\t clickOn(driver, ProductPage.tf1Description, TestUtil.EXPLICIT_WAIT);\\r\\n\\t\\t ProductPage.tfDescription.clear();\\r\\n\\t\\t ProductPage.tfDescription.sendKeys(desc);\\r\\n\\t\\t \\r\\n/*\\t\\t clickOn(driver, ProductPage.tf1ConsentTerms, TestUtil.EXPLICIT_WAIT);\\r\\n\\t\\t ProductPage.tfConsentTerms.clear();\\r\\n\\t\\t ProductPage.tfConsentTerms.sendKeys(consentTerms);*/\\r\\n\\t\\t\\r\\n\\t\\t driver.switchTo().defaultContent();\\r\\n\\t\\t Save();\\r\\n\\r\\n\\t\\t \\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d096416295e9d92a3d3798d6e3b0c104\",\n \"score\": \"0.51329476\",\n \"text\": \"@Before\\r\\n\\tpublic void createDryItem() throws StockException{\\r\\n\\t\\tapple = new Item(\\\"apple\\\", 1.2, 2.3, 3, 4);\\r\\n\\t\\tbanana = new Item(\\\"banana\\\", 6.7, 7.8, 8, 9, 10.1);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc2863a506863400cfe99a644698e49c\",\n \"score\": \"0.5130527\",\n \"text\": \"@Test\\r\\n\\tpublic void testCheckRequiredItemFieldOnItemName() {\\t\\t\\r\\n\\t\\tassertFalse(myAuction.checkRequiredItemFields(myItem1));\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c0795450c37f95e1916510b6dea6ab83\",\n \"score\": \"0.51304483\",\n \"text\": \"public void test_create_7() throws Exception {\\r\\n \\tProjectPayment obj = new ProjectPayment();\\r\\n \\tobj.setAmount(new BigDecimal(1));\\r\\n \\tobj.setCreateDate(new Date());\\r\\n \\tobj.setPactsPaymentId(1L);\\r\\n \\tobj.setResourceId(1L);\\r\\n \\tobj.setSubmissionId(2L);\\r\\n try {\\r\\n instance.create(obj, \\\"testOperator\\\");\\r\\n fail(\\\"ProjectPaymentValidationException expected.\\\");\\r\\n } catch (ProjectPaymentValidationException iae) {\\r\\n //good\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"598b2aece855e3185b09c09f3d1dbb11\",\n \"score\": \"0.5130191\",\n \"text\": \"@Test\\n\\tpublic void addItemsTest(){\\n\\t\\tif(ams.connect(\\\"root\\\", \\\"(Ad727363)\\\")){\\n\\t\\t\\tSystem.out.println(\\\"You entered valid credentials.\\\");\\n\\t\\t}\\n\\t\\telse{\\n\\t\\t\\tSystem.out.println(\\\"Unable to connect.\\\");\\n\\t\\t}\\n\\n\\t\\tcon = (Connection) ams.getConnection();\\n\\t\\tManagerTransactions c = new ManagerTransactions(con);\\n\\t\\tItem i = new Item(con);\\n\\t\\t\\n\\t\\t// when\\n\\t\\tSystem.out.println(c.addItems(1, 10, (float) 17.99));\\n\\t\\t// then\\n\\t\\ti.displayAllItems();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a4f1967e779ae4e803b5198a5ca87ff6\",\n \"score\": \"0.51255864\",\n \"text\": \"@Test\\n\\tpublic void whenAddItemThenItMustBeAdded() {\\n\\t\\tTracker tracker = new Tracker(new UserStore());\\n\\t\\tItem expected = new Item(\\\"test1\\\", \\\"testDesc\\\", 123L);\\n\\t\\ttracker.add(expected);\\n\\t\\tassertThat(tracker.findAll().get(0), is(expected));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ebd199a73d902078696a62b6d3e4cbba\",\n \"score\": \"0.51161087\",\n \"text\": \"@Before\\r\\n public void setUp() throws Exception {\\r\\n this.path += \\\"/rest\\\";\\r\\n \\r\\n this.theItemId = createItem();\\r\\n String xmlData = EscidocAbstractTest.getTemplateAsString(this.path, \\\"create_container_v1.1-forItem.xml\\\");\\r\\n \\r\\n theContainerXml = create(xmlData.replaceAll(\\\"##ITEMID##\\\", theItemId));\\r\\n this.theContainerId = getObjidValue(this.theContainerXml);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"32483e5788d67efb1eaf513b1cdca78b\",\n \"score\": \"0.511212\",\n \"text\": \"public void test() throws UiObjectNotFoundException {\\n getUiDevice().takeScreenshot(new File(\\\"/sdcard/uiautomator-screenshots/start-screen.png\\\"));\\n\\n // Open the app\\n getUiDevice().pressHome();\\n UiObject allApps = new UiObject(new UiSelector().description(\\\"Apps\\\"));\\n allApps.clickAndWaitForNewWindow();\\n getUiDevice().takeScreenshot(new File(\\\"/sdcard/uiautomator-screenshots/app-screen.png\\\"));\\n\\n UiObject deviceSurveyApp = new UiObject(new UiSelector().className(\\\"android.widget.TextView\\\").textContains(\\\"Device Surveyor\\\"));\\n deviceSurveyApp.clickAndWaitForNewWindow();\\n getUiDevice().takeScreenshot(new File(\\\"/sdcard/uiautomator-screenshots/survey-screen.png\\\"));\\n\\n // Submit device report\\n UiObject submitButton = new UiObject(new UiSelector().className(\\\"android.widget.Button\\\").textContains(\\\"SUBMIT\\\"));\\n submitButton.clickAndWaitForNewWindow();\\n\\n UiObject yesButton = new UiObject(new UiSelector().className(\\\"android.widget.Button\\\").textContains(\\\"Yes\\\"));\\n yesButton.clickAndWaitForNewWindow();\\n\\n UiObject result = new UiObject(new UiSelector().className(\\\"android.widget.TextView\\\").textContains(\\\"Successfully submitted\\\"));\\n assertTrue(\\\"Unsuccessful submission\\\", result.exists());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"66539e0967a85e2b969ec4b3e5466ca6\",\n \"score\": \"0.51030785\",\n \"text\": \"@Test\\n void testCreate() throws NameValidationException, NonUniqueItemException, NotFoundException,\\n FlightInvalidException, FlightSectionValidationException, IllegalAccessException {\\n SystemManager sm = new SystemManager();\\n createData(sm,\\\"blu\\\", \\\"bla\\\", \\\"ble\\\", \\\"blo\\\");\\n /* assert there are two static Airlines + the one created in this test */\\n assertEquals(sm.airlines.size(), 2);\\n\\n /* assert there are three static Airports + the one created in this test */\\n assertEquals(sm.airports.size(), 2);\\n\\n /* assert there are three static Flights + the one created in this test */\\n assertEquals(sm.flights.size(), 2);\\n sm.displaySystemDetails();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0629b6fad4cd25ec75867f77086eccf6\",\n \"score\": \"0.51024413\",\n \"text\": \"@Test\\n public void testGetItem() throws Exception {\\n item.setItemId(\\\"A1\\\");\\n item.setItemName(\\\"snickers\\\");\\n item.setItemCost(new BigDecimal(\\\"1.00\\\"));\\n item.setItemQty(1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b717db24e3ef3e678eadea73bead5f15\",\n \"score\": \"0.51014507\",\n \"text\": \"@Test\\n\\tpublic void testAddItemOne() {\\n\\t\\tCategory cat = new Category(\\\"HW\\\", 10);\\n\\t\\tcat.addItem(new Item(\\\"HW1\\\", new Date()));\\n\\t\\tassertEquals(\\\"HW1\\\", cat.getItemList().get(0).getName());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"733b361c7ae6cd7c7b40a95451ea5841\",\n \"score\": \"0.5087725\",\n \"text\": \"@Test\\n public void testPurchaseItem() throws Exception {\\n item.setItemId(\\\"A1\\\");\\n item.setItemName(\\\"snickers\\\");\\n item.setItemCost(new BigDecimal(\\\"1.00\\\"));\\n item.setItemQty(1);\\n \\n item.purchaseItem();\\n assertEquals(1, item.purchaseItem());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b699ffe9732d94fee95b4714d6020fe9\",\n \"score\": \"0.50866854\",\n \"text\": \"@Test\\r\\n\\tpublic void testCheckRequiredItemFieldsOnPostiveMinimumBids() {\\t\\t\\t\\r\\n\\t\\tItem itemTest = new Item(\\\"Football\\\", \\\"good\\\", \\\"small\\\", 1, \\\"Bill and Melinda Gates\\\", \\r\\n\\t\\t\\t\\t\\\"Really cool football\\\", \\\"hello\\\");\\r\\n\\t\\t\\r\\n\\t\\tassertTrue(myAuction.checkRequiredItemFields(itemTest));\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d859f9699cd2dcdc12bb87c2a83970f1\",\n \"score\": \"0.50606346\",\n \"text\": \"@Test\\n\\tpublic void TC052PMVE_35(){\\n\\t\\tresult.addLog(\\\"ID : TC052PMVE_35 : Verify that the marketing material file could be uploaded successfully via 'Select File' button\\\");\\n\\t /*\\n\\t\\tPre-condition: Partner user has \\\"Add and manage accessories\\\" rights.\\n\\t\\t1. Log into DTS portal as a partner admin\\n\\t\\t2. Navigate to \\\"Accessories\\\" page\\n\\t\\t3. Select an accessory from accessories table\\n\\t\\t4. Verify that the 040P Accessory Detail page is displayed\\n\\t\\t5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\tVP. Verify that the 052P Model Variant Edit page is displayed.\\n\\t\\t6. Click \\\"Upload Custom Images\\\" link\\n\\t\\tVP. Verify that the \\\"Add Custom Image File\\\" is displayed.\\n\\t\\t7. Upload three size of image successfully\\n\\t\\t8. Click \\\"Select File\\\" in Marketing Material section\\n\\t\\t9. Select a file to upload\\n\\t\\t*/\\n\\t\\t\\n\\t\\t// 2. Navigate to \\\"Accessories\\\" page\\n\\t\\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\\n\\t\\t// 3. Select an accessory from accessories table\\n\\t\\thome.selectAnAccessory();\\n\\t\\t// 4. Verify that the 040P Accessory Detail page is displayed\\n\\t\\tAssert.assertEquals(home.existsElement(PartnerAccessoryInfo.getElementsInfo()).getResult(), \\\"Pass\\\");\\n\\t\\t// 5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\thome.click(PartnerAccessoryInfo.ADD_VARIANT);\\n\\t\\t/*\\n\\t\\t * VP. Verify that the 052P Model Variant Edit page is displayed\\n\\t\\t */\\n\\t\\tAssert.assertEquals(home.existsElement(PartnerAddVariant.getElementsInfo()).getResult(), \\\"Pass\\\");\\n\\t\\t// 6. Click \\\"Upload Custom Images\\\" link\\n\\t\\thome.click(PartnerAddVariant.UPLOAD_CUSTOM_IMAGE);\\n\\t\\t/*\\n\\t\\t * VP. Verify that the \\\"Add Custom Image File\\\" is displayed\\n\\t\\t */\\n\\t\\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_250);\\n\\t\\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_500);\\n\\t\\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_1000);\\n\\t\\t// 7. Upload three size of image successfully\\n\\t\\thome.uploadFile(PartnerAddVariant.SELECT_FILE_IMAGE_250, PartnerAddVariant.IMG_NAME[0]);\\n\\t\\thome.uploadFile(PartnerAddVariant.SELECT_FILE_IMAGE_500, PartnerAddVariant.IMG_NAME[1]);\\n\\t\\thome.uploadFile(PartnerAddVariant.SELECT_FILE_IMAGE_1000, PartnerAddVariant.IMG_NAME[2]);\\n\\t\\t// 8. Click \\\"Select File\\\" in Marketing Material section\\n\\t\\t// 9. Select a file to upload\\n\\t\\thome.uploadFile(PartnerAddVariant.ADD_MARKETING, Constant.AUDIO_ROUTE_FILE);\\n\\t\\t/*\\n\\t\\t * Verify that New marketing material file is uploaded successfully\\n\\t\\t */\\n\\t\\tAssert.assertTrue(home.isMarketingUploaded(PartnerAddVariant.MARKETING_FILE_CONTAINER, Constant.AUDIO_ROUTE_FILE));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"24967a9aa7ba50a1285e25a2df4017b5\",\n \"score\": \"0.50588465\",\n \"text\": \"com.eviware.soapui.junit.Testcase addNewTestcase();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed32ae1b6a08abcc7645b95166085ffa\",\n \"score\": \"0.5055256\",\n \"text\": \"@Test\\n\\tpublic void TC052PMVE_27(){\\n\\t\\tresult.addLog(\\\"ID : TC052PMVE_27 : Verify that the Delete Custom Image confirmation dialog is displayed when the 'Use Parent's Images' is checked after the custom image file has been uploaded successfully\\\");\\n\\t\\t/*\\n\\t\\t Pre-condition: Partner user has \\\"Add and manage accessories\\\" rights.\\n\\t\\t 1. Log into DTS portal as a partner admin \\n\\t\\t 2. Navigate to \\\"Accessories\\\" page \\n\\t\\t 3. Select an accessory from accessories table \\n\\t\\t 4. Verify that the 040P Accessory Detail page is displayed \\n\\t\\t 5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module \\n\\t\\t VP. Verify that the 052P Model Variant Edit page is displayed. \\n\\t\\t 6. Click \\\"Upload Custom Images\\\" link \\n\\t\\t VP. Verify that the \\\"Add Custom Image File\\\" is displayed. \\n\\t\\t 7. Upload an image file \\n\\t\\t VP: Verify that the image is uploaded successfully. \\n\\t\\t 8. Tick to check the \\\"Use Parent's Images\\\" checkbox.\\n\\t\\t */\\n\\t\\t\\n\\t\\t// 2. Navigate to \\\"Accessories\\\" page \\n\\t\\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\\n\\t\\t// 3. Select an accessory from accessories table\\n\\t\\thome.selectAnAccessory();\\n\\t\\t// 4. Verify that the 040P Accessory Detail page is displayed \\n\\t\\tAssert.assertEquals(home.existsElement(PartnerAccessoryInfo.getElementsInfo()).getResult(), \\\"Pass\\\");\\n\\t\\t// 5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\thome.click(AccessoryInfo.ADD_VARIANT);\\n\\t\\t/*\\n\\t\\t * VP. Verify that the 052P Model Variant Edit page is displayed\\n\\t\\t */\\n\\t\\tAssert.assertEquals(home.existsElement(PartnerAddVariant.getElementsInfo()).getResult(), \\\"Pass\\\");\\n\\t\\t// 6. Click \\\"Upload Custom Images\\\" link \\n\\t\\thome.click(PartnerAddVariant.UPLOAD_CUSTOM_IMAGE);\\n\\t\\t/*\\n\\t\\t * VP. Verify that the \\\"Add Custom Image File\\\" is displayed\\n\\t\\t */\\n\\t\\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_250);\\n\\t\\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_500);\\n\\t\\thome.isElementPresent(PartnerAddVariant.SELECT_FILE_IMAGE_1000);\\n\\t\\t// 7. Upload an image file \\n\\t\\thome.uploadFile(PartnerAddVariant.SELECT_FILE_IMAGE_250, PartnerAddVariant.IMG_NAME[0]);\\n\\t\\t/*\\n\\t\\t * VP: Verify that the image is uploaded successfully\\n\\t\\t */\\n\\t\\tAssert.assertTrue(home.isElementPresent(driver.findElement(By.xpath(PartnerAddVariant.IMAGE250_DISPLAY)).findElement(By.tagName(\\\"img\\\"))));\\n\\t\\t// 8. Tick to check the \\\"Use Parent's Images\\\" checkbox\\n\\t\\thome.click(PartnerAddVariant.PARENT_IMAGE_CHECKBOX);\\n\\t\\t/*\\n\\t\\t * Verify that The Delete Images confirmation dialog is displayed\\n\\t\\t */\\n\\t\\tString message = \\\"Use Parent's Images will discard the custom files.\\\";\\n\\t\\thome.checkMessageDisplay(message);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6c04595d1e412bcf7a1b4a9164b1fa52\",\n \"score\": \"0.50527644\",\n \"text\": \"@Test\\n public void testEcommerceItemE() {\\n try {\\n EcommerceItem item = new EcommerceItem(\\\"sku\\\", \\\"name\\\", \\\"category\\\", 1.0, 2);\\n request.addEcommerceItem(item);\\n fail(\\\"Exception should have been thrown.\\\");\\n } catch (IllegalStateException e) {\\n assertEquals(\\\"GoalId must be \\\\\\\"0\\\\\\\". Try calling enableEcommerce first before calling this method.\\\",\\n e.getLocalizedMessage());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4fd27d5ee49195ff07d09c89eb9aabb7\",\n \"score\": \"0.50527406\",\n \"text\": \"@Test\\n public void createTest() {\\n String include = null;\\n String name = null;\\n // ApiKey response = api.create(include, name);\\n\\n // TODO: test validations\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22f2702bac0211bc904eb23211aaee33\",\n \"score\": \"0.5051029\",\n \"text\": \"@Test\\n\\tpublic void TC052PMVE_20(){\\n\\t\\tresult.addLog(\\\"ID : TC052PMVE_20 :Verify that the language dropdown is restore to default 'Select' value and the input field is cleared when selecting the Trashcan icon.\\\");\\n\\t\\t/*\\n\\t\\t\\tPre-condition: Partner user has \\\"Add and manage Products\\\" rights.\\n\\n\\t\\t\\t1. Log into DTS portal as a partner admin\\n\\t\\t\\t2. Navigate to \\\"Accessories\\\" page\\n\\t\\t\\t3. Select an product from Products table\\n\\t\\t\\t4. Verify that the 040P product Detail page is displayed\\n\\t\\t\\t5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\t\\tVP: Verify that the 052P Model Variant Edit page is displayed\\n\\t\\t\\t6. Select language dropdown to another item other than \\\"Select\\\"\\n\\t\\t\\t7. Type value into model name input field\\n\\t\\t\\t6. Click on Trashcan icon\\n\\t\\t*/\\n\\t\\t/*\\n\\t\\t * PreCondition: Create new product\\n\\t\\t */\\n\\t\\t// Navigate to Product page\\n\\t\\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\\n\\t\\t// 3. Select an accessory from accessories table\\n\\t\\thome.selectAnAccessory();\\n\\t\\t// 4. Verify that the 040P Accessory Detail page is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AccessoryInfo.TITLE_NAME));\\n\\t\\t// 5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\thome.click(AccessoryInfo.ADD_VARIANT);\\n\\t\\t// VP: Verify that the 052P Model Variant Edit page is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.TITLE));\\t\\n\\t\\t//The Model Name language dropdown contains items: - Select -, Chinese - Simplified, Chinese - Traditional, French, German, Italian, Japanese, Korean, Russian and Spanish.\\n\\t\\thome.selectOptionByName(AddVariant.LANGUAGE_DROPDOWN, AddVariant.LANGUAGE_LIST[1]);\\n\\t\\thome.type(AddVariant.OTHER_LANGUAGE_NAME, \\\"Other language\\\");\\n\\t\\thome.click(AddVariant.TRASH_ICON);\\n\\t\\t//Verify that the language dropdown is restore to default 'Select' value and the input field is cleared when selecting the Trashcan icon\\n\\t\\tAssert.assertEquals(home.getItemSelected(AddVariant.LANGUAGE_DROPDOWN),AddVariant.LANGUAGE_LIST[0]);\\n\\t\\tAssert.assertFalse(home.isElementEditable(AddVariant.LANGUAGE_NAME_TEXT));\\n\\t\\t//DTSUtil.containsAll(home.getAllComboboxOption(AddVariant.LANGUAGE_DROPDOWN), AddVariant.LANGUAGE_LIST);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed3143895ac1761296e8d24ace28db8f\",\n \"score\": \"0.50447977\",\n \"text\": \"ObjectiveAssessment createObjectiveAssessment();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b57d11cafc59f94f939c46a547d24beb\",\n \"score\": \"0.5043284\",\n \"text\": \"public void test_create_0() throws Exception {\\r\\n \\tProjectPayment obj = new ProjectPayment();\\r\\n \\tobj.setAmount(new BigDecimal(1));\\r\\n \\tobj.setCreateDate(new Date());\\r\\n \\tobj.setPactsPaymentId(1L);\\r\\n \\tobj.setProjectPaymentType(new ProjectPaymentType());\\r\\n \\tobj.setResourceId(1L);\\r\\n \\tobj.setSubmissionId(2L);\\r\\n try {\\r\\n instance.create(obj, \\\"testOperator\\\");\\r\\n fail(\\\"ProjectPaymentValidationException expected.\\\");\\r\\n } catch (ProjectPaymentValidationException iae) {\\r\\n //good\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"674b721e4b168b6297fbbd80b7a9bd9a\",\n \"score\": \"0.50429505\",\n \"text\": \"@SuppressWarnings(\\\"unchecked\\\")\\n\\t@Test\\n\\tpublic void testItem_17() throws Exception {\\n\\t\\tString request = \\\"{\\\\\\\"request\\\\\\\": {\\\\\\\"assessment_item\\\\\\\": {\\\\\\\"identifier\\\\\\\": \\\\\\\"\\\" + assessmentId\\n\\t\\t\\t\\t+ \\\"\\\\\\\",\\\\\\\"objectType\\\\\\\": \\\\\\\"AssessmentItem\\\\\\\",\\\\\\\"metadata\\\\\\\": {\\\\\\\"code\\\\\\\": \\\\\\\"test.qtt02\\\\\\\",\\\\\\\"framework\\\\\\\":\\\\\\\"NCFTEST\\\\\\\",\\\\\\\"gradeLevel\\\\\\\":[\\\\\\\"class 1\\\\\\\"],\\\\\\\"body\\\\\\\":\\\\\\\"Test Data for body........save it in cassandra\\\\\\\", \\\\\\\"itemType\\\\\\\":\\\\\\\"UNIT\\\\\\\",\\\\\\\"category\\\\\\\":\\\\\\\"MCQ\\\\\\\",\\\\\\\"version\\\\\\\":2,\\\\\\\"name\\\\\\\": \\\\\\\"MCQ Question 2\\\\\\\",\\\\\\\"type\\\\\\\": \\\\\\\"mcq\\\\\\\",\\\\\\\"num_answers\\\\\\\": 1,\\\\\\\"template\\\\\\\": \\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"template_id\\\\\\\":\\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"qlevel\\\\\\\": \\\\\\\"MEDIUM\\\\\\\",\\\\\\\"owner\\\\\\\": \\\\\\\"username_1\\\\\\\",\\\\\\\"title\\\\\\\": \\\\\\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\\\\\",\\\\\\\"question\\\\\\\": \\\\\\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\\\\\",\\\\\\\"model\\\\\\\": {\\\\\\\"img\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"perimeter\\\\\\\"},\\\\\\\"img2\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"smallSquare\\\\\\\"},\\\\\\\"subtext\\\\\\\": \\\\\\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\\\\\"},\\\\\\\"options\\\\\\\": [{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&10\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"14&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"16&8\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"},\\\\\\\"score\\\\\\\": 1}],\\\\\\\"max_score\\\\\\\": 1,\\\\\\\"partial_scoring\\\\\\\": false,\\\\\\\"feedback\\\\\\\": \\\\\\\"\\\\\\\"}}}}\\\";\\n\\t\\tString path = basePath + \\\"/update/\\\" + assessmentId;\\n\\t\\tactions = mockMvc.perform(MockMvcRequestBuilders.patch(path).contentType(MediaType.APPLICATION_JSON)\\n\\t\\t\\t\\t.header(\\\"X-Channel-Id\\\", \\\"in.ekstep\\\").content(request));\\n\\t\\tAssert.assertEquals(200, actions.andReturn().getResponse().getStatus());\\n\\t\\tpath = basePath + \\\"/read/\\\" + assessmentId;\\n\\t\\tactions = mockMvc.perform(MockMvcRequestBuilders.get(path).contentType(MediaType.APPLICATION_JSON)\\n\\t\\t\\t\\t.header(\\\"X-Channel-Id\\\", \\\"in.ekstep\\\"));\\n\\t\\tassertEquals(200, actions.andReturn().getResponse().getStatus());\\n\\t\\tResponse resp = getResponse(actions);\\n\\t\\tList<String> gradeLevel = (List<String>) ((Map<String, Object>) resp.getResult().get(\\\"assessment_item\\\"))\\n\\t\\t\\t\\t.get(\\\"gradeLevel\\\");\\n\\t\\tassertEquals(\\\"class 1\\\", (String) gradeLevel.get(0));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4021d25eac1302db753a05abf616c4a6\",\n \"score\": \"0.50418556\",\n \"text\": \"@Test(groups={\\\"minimumRegression\\\",\\\"Name\\\",\\\"OWS\\\",\\\"InsertClaim\\\"})\\n\\t\\tpublic void insertClaim_41285() {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tString testname = \\\"insertClaim_41285\\\";\\n\\t\\t\\t\\tWSClient.startTest(testname, \\\"Verify that an error mesage is obtained with membershipId as EXTERNAL in the request\\\", \\\"minimumRegression\\\");\\n\\t\\t\\t\\tOPERALib.setOperaHeader(OPERALib.getUserName());\\n\\t\\t\\t\\tString operaProfileID=\\\" \\\";\\n\\t\\t\\t\\tString resortOperaValue = OPERALib.getResort();\\n\\t\\t\\t\\tString chain=OPERALib.getChain();\\n WSClient.setData(\\\"{var_resort}\\\", resortOperaValue);\\n WSClient.setData(\\\"{var_chain}\\\",chain);\\n WSClient.setData(\\\"{var_chaincode}\\\", chain);\\n \\n\\t\\t\\t\\t// Creating a profile\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\toperaProfileID = CreateProfile.createProfile(\\\"DS_01\\\");\\n\\t\\t\\t\\tif (!operaProfileID.equals(\\\"error\\\")) {\\n\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_profileID}\\\", operaProfileID);\\n\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Profile ID :\\\" + operaProfileID+\\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tString query3 = WSClient.getQuery(\\\"OWSInsertClaim\\\",\\\"QS_03\\\");\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tLinkedHashMap<String,String> temp3 = new LinkedHashMap<String,String>();\\n\\t\\t\\t\\t\\t\\ttemp3=WSClient.getDBRow(query3);\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_nameOnCard}\\\", temp3.get(\\\"first\\\"));\\n\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_memType}\\\",OperaPropConfig.getDataSetForCode(\\\"MembershipType\\\",\\\"DS_03\\\"));\\n\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_memLevel}\\\", OperaPropConfig.getDataSetForCode(\\\"MembershipLevel\\\",\\\"DS_03\\\")); \\n\\t\\t\\t\\t\\t\\tString createMembershipReq = WSClient.createSOAPMessage(\\\"CreateMembership\\\",\\\"DS_03\\\");\\n\\t\\t\\t String createMembershipRes = WSClient.processSOAPMessage(createMembershipReq);\\n\\t\\t\\t if (WSAssert.assertIfElementExists(createMembershipRes, \\\"CreateMembershipRS_Success\\\",\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tfalse)) { \\n\\t\\t\\t \\n\\t\\t\\t }\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tsetOWSHeader();\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tString resort = OPERALib.getResort();\\n\\t\\t\\t\\t\\t\\tString channel = OWSLib.getChannel();\\n\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_owsresort}\\\", OWSLib.getChannelResort(resort, channel));\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tquery3 = WSClient.getQuery(\\\"OWSInsertClaim\\\",\\\"QS_04\\\");\\n\\t\\t\\t\\t\\t\\ttemp3=WSClient.getDBRow(query3);\\n\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_memId}\\\", temp3.get(\\\"memId\\\"));\\n\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_memCardNo}\\\", temp3.get(\\\"memCardNo\\\"));\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t// Creating request and processing response for OWS InsertClaim Operation\\n\\t\\t\\t\\t\\t\\tString insertClaimReq = WSClient.createSOAPMessage(\\\"OWSInsertClaim\\\", \\\"DS_07\\\");\\n\\t\\t\\t\\t\\t\\tString insertClaimResponseXML = WSClient.processSOAPMessage(insertClaimReq);\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t// Validating response of OWS InsertClaim Operation\\n\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\\"InsertClaimResponse_Result_resultStatusFlag\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\tif (WSAssert.assertIfElementValueEquals(insertClaimResponseXML,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\\"InsertClaimResponse_Result_resultStatusFlag\\\", \\\"FAIL\\\", false)) {\\n\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", false)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementValueEquals(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", \\\"This instance does not support EXTERNAL MembershipID values.\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSAssert.assertIfElementValueEquals(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", \\\"This instance does not support EXTERNAL MembershipID values.\\\", false);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}else if(WSAssert.assertIfElementContains(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", \\\"Membership ID not valid\\\", false)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.FAIL, \\\"ResultFlag doesn't exist in InsertClaim Response!\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"Fault_faultcode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"Fault_faultcode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>FaultCode : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"detail_fault_errorCode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"detail_fault_errorCode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>ErrorCode : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"detail_fault_reason\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"detail_fault_reason\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Reason : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\tWSClient.writeToReport(LogStatus.ERROR, \\\"Exception occurred in test case due to\\\" + e);\\n\\t\\t\\t}\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1e05d7d30358d81c6f936f5902b4b955\",\n \"score\": \"0.50400615\",\n \"text\": \"@Test\\n public void createOrFindLiveAssessmentTest() {\\n String courseId = null;\\n // api.createOrFindLiveAssessment(courseId);\\n\\n // TODO: test validations\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c09b06b844ce73c6699162664a160f35\",\n \"score\": \"0.5039829\",\n \"text\": \"public void createSystemTestJobs(WorkItem workItem) {\\n Config config = null;\\n InputParameter inputParameter = null;\\n try {\\n config = Config.loadConfig(workItem, workItemService);\\n\\n // create input parameter\\n inputParameter = createInputParameterForSystemTestJobs(workItem, config);\\n\\n // create xml\\n String inputFileName = createFileName(workItem, config, \\\"-st\\\");\\n File inputXml = createInputXml(inputFileName, inputParameter, true);\\n\\n if (inputXml.exists()) {\\n launcher.launchJobCreator(config, inputFileName);\\n\\n sendSuccessMail(inputParameter);\\n } else {\\n // creation of input xml file failed\\n throw new FileNotFoundException(\\\"Could not find file \\\" + inputXml.getName());\\n }\\n } catch (Exception e) {\\n LOGGER.error(\\\"An exception occured while creating main jobs\\\", e);\\n sendFailureMail(config, inputParameter, e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"75d21e35240c349fda0b714386695699\",\n \"score\": \"0.50380874\",\n \"text\": \"public void test_create_8() throws Exception {\\r\\n \\tProjectPayment obj = new ProjectPayment();\\r\\n \\tobj.setAmount(new BigDecimal(1));\\r\\n \\tobj.setCreateDate(new Date());\\r\\n \\tobj.setPactsPaymentId(1L);\\r\\n \\t\\r\\n \\tobj.setProjectPaymentType(paymenttype);\\r\\n \\tobj.setSubmissionId(2L);\\r\\n try {\\r\\n instance.create(obj, \\\"testOperator\\\");\\r\\n fail(\\\"ProjectPaymentValidationException expected.\\\");\\r\\n } catch (ProjectPaymentValidationException iae) {\\r\\n //good\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"53df7cf99cb89e7e8e8f3f5086929b99\",\n \"score\": \"0.50368273\",\n \"text\": \"@Test(groups={\\\"minimumRegression\\\",\\\"Name\\\",\\\"OWS\\\",\\\"InsertClaim\\\"})\\n\\t\\tpublic void insertClaim_40021() {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tString testname = \\\"insertClaim_40021\\\";\\n\\t\\t\\t\\tString operaProfileID=\\\" \\\";\\n\\t\\t\\t\\tWSClient.startTest(testname, \\\"Verify that a Claim is inserted to a profile by passing valid values in mandatory fields but passing nameid invalid source.\\\", \\\"minimumRegression\\\");\\n\\t\\t\\t\\tOPERALib.setOperaHeader(OPERALib.getUserName());\\n\\t\\t\\t\\tString resortOperaValue = OPERALib.getResort();\\n\\t\\t\\t\\tString chain=OPERALib.getChain();\\n WSClient.setData(\\\"{var_resort}\\\", resortOperaValue);\\n WSClient.setData(\\\"{var_chain}\\\",chain);\\n WSClient.setData(\\\"{var_chaincode}\\\", chain);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// Creating a profile\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\toperaProfileID = CreateProfile.createProfile(\\\"DS_01\\\");\\n\\t\\t\\t\\tif (!operaProfileID.equals(\\\"error\\\")) {\\n\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_profileID}\\\", operaProfileID);\\n\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Profile ID :\\\" + operaProfileID+\\\"</b>\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_claimInfo}\\\", \\\"Card not issued\\\");\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tsetOWSHeader();\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tString resort = OPERALib.getResort();\\n\\t\\t\\t\\t\\t\\tString channel = OWSLib.getChannel();\\n\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_owsresort}\\\", OWSLib.getChannelResort(resort, channel));\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t// Creating request and processing response for OWS InsertClaim Operation\\n\\t\\t\\t\\t\\t\\tString insertClaimReq = WSClient.createSOAPMessage(\\\"OWSInsertClaim\\\", \\\"DS_03\\\");\\n\\t\\t\\t\\t\\t\\tString insertClaimResponseXML = WSClient.processSOAPMessage(insertClaimReq);\\n\\n\\t\\t\\t\\t\\t\\t// Validating response of OWS InsertClaim Operation\\n\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\\"InsertClaimResponse_Result_resultStatusFlag\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\tif (WSAssert.assertIfElementValueEquals(insertClaimResponseXML,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\\"InsertClaimResponse_Result_resultStatusFlag\\\", \\\"SUCCESS\\\", false)) {\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t// Database Validation\\n\\t\\t\\t\\t\\t\\t\\t\\tLinkedHashMap<String,String> db = new LinkedHashMap<String,String>();\\n\\t\\t\\t\\t\\t\\t\\t\\tLinkedHashMap<String,String> expectedValues = new LinkedHashMap<String,String>();\\n\\t\\t\\t\\t\\t\\t\\t\\tLinkedHashMap<String,String> xPath = new LinkedHashMap<String,String>();\\n\\t\\t\\t\\t\\t\\t\\t\\txPath.put(\\\"InsertClaimRequest_Profile_NameID\\\", \\\"InsertClaimRequest_Profile\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\txPath.put(\\\"InsertClaimRequest_Claim_ClaimInformation\\\", \\\"InsertClaimRequest_Claim\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\texpectedValues = WSClient.getSingleNodeList(insertClaimReq, xPath, false, XMLType.REQUEST);\\n\\t\\t\\t\\t\\t\\t\\t\\tString query = WSClient.getQuery(\\\"QS_01\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\tdb = WSClient.getDBRow(query);\\n\\t\\t\\t\\t\\t\\t\\t\\tWSAssert.assertEquals(expectedValues,db,false);\\n\\t\\t\\t\\t\\t\\t\\t}else {\\t\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>The error displayed in the InsertClaim response is :\\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"InsertClaimResponse_Result_OperaErrorCode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString operaErrorCode=WSAssert.getElementValue(insertClaimResponseXML, \\\"InsertClaimResponse_Result_OperaErrorCode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Opera Error Code :\\\"+ operaErrorCode + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"InsertClaimResponse_Result_GDSError\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"InsertClaimResponse_Result_GDSError\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>The gds error displayed in the InsertClaim response is :\\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.FAIL, \\\"ResultFlag doesn't exist in InsertClaim Response!\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"Fault_faultcode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"Fault_faultcode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>FaultCode : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"detail_fault_errorCode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"detail_fault_errorCode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>ErrorCode : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"detail_fault_reason\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"detail_fault_reason\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Reason : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\tWSClient.writeToReport(LogStatus.ERROR, \\\"Exception occured in test case due to\\\" + e);\\n\\t\\t\\t}\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10341d472d4d69b773890e7f357c9cd0\",\n \"score\": \"0.5035654\",\n \"text\": \"public interface AssessmentFactory extends EFactory {\\n\\t/**\\n\\t * The singleton instance of the factory.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @generated\\n\\t */\\n\\tAssessmentFactory eINSTANCE = assessment.impl.AssessmentFactoryImpl.init();\\n\\n\\t/**\\n\\t * Returns a new object of class '<em>Executed Assessment</em>'.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @return a new object of class '<em>Executed Assessment</em>'.\\n\\t * @generated\\n\\t */\\n\\tExecutedAssessment createExecutedAssessment();\\n\\n\\t/**\\n\\t * Returns a new object of class '<em>Subjective Assessment</em>'.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @return a new object of class '<em>Subjective Assessment</em>'.\\n\\t * @generated\\n\\t */\\n\\tSubjectiveAssessment createSubjectiveAssessment();\\n\\n\\t/**\\n\\t * Returns a new object of class '<em>Objective Assessment</em>'.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @return a new object of class '<em>Objective Assessment</em>'.\\n\\t * @generated\\n\\t */\\n\\tObjectiveAssessment createObjectiveAssessment();\\n\\n\\t/**\\n\\t * Returns a new object of class '<em>Questionnaire</em>'.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @return a new object of class '<em>Questionnaire</em>'.\\n\\t * @generated\\n\\t */\\n\\tQuestionnaire createQuestionnaire();\\n\\n\\t/**\\n\\t * Returns a new object of class '<em>Compliance Item</em>'.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @return a new object of class '<em>Compliance Item</em>'.\\n\\t * @generated\\n\\t */\\n\\tComplianceItem createComplianceItem();\\n\\n\\t/**\\n\\t * Returns a new object of class '<em>Question</em>'.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @return a new object of class '<em>Question</em>'.\\n\\t * @generated\\n\\t */\\n\\tQuestion createQuestion();\\n\\n\\t/**\\n\\t * Returns a new object of class '<em>Answer Option</em>'.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @return a new object of class '<em>Answer Option</em>'.\\n\\t * @generated\\n\\t */\\n\\tAnswerOption createAnswerOption();\\n\\n\\t/**\\n\\t * Returns a new object of class '<em>Script Template</em>'.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @return a new object of class '<em>Script Template</em>'.\\n\\t * @generated\\n\\t */\\n\\tScriptTemplate createScriptTemplate();\\n\\n\\t/**\\n\\t * Returns a new object of class '<em>Compliance Type</em>'.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @return a new object of class '<em>Compliance Type</em>'.\\n\\t * @generated\\n\\t */\\n\\tComplianceType createComplianceType();\\n\\n\\t/**\\n\\t * Returns the package supported by this factory.\\n\\t * <!-- begin-user-doc -->\\n\\t * <!-- end-user-doc -->\\n\\t * @return the package supported by this factory.\\n\\t * @generated\\n\\t */\\n\\tAssessmentPackage getAssessmentPackage();\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9baa79c8d35e001eb88e6c53dbfc2a3d\",\n \"score\": \"0.5034841\",\n \"text\": \"private void createTestCase(String testSuitUID, String testCaseUID) {\\n driver.switchTo().defaultContent();\\n driver.switchTo().frame(\\\"mainframe\\\").switchTo().frame(\\\"treeframe\\\");\\n driver.findElement(By.xpath(\\\"//span[contains(text(),'\\\" + testSuitUID + \\\"')]\\\")).click();\\n\\n /* create new test case */\\n driver.switchTo().defaultContent();\\n driver.switchTo().frame(\\\"mainframe\\\").switchTo().frame(\\\"workframe\\\");\\n driver.findElement(By.cssSelector(\\\"img[title='Actions']\\\")).click();\\n driver.findElement(By.cssSelector(\\\"#create_tc\\\")).click();\\n\\n /* set test case name */\\n driver.findElement(By.cssSelector(\\\"#testcase_name\\\")).sendKeys(\\\"Test case \\\" + testCaseUID);\\n\\n /* set test case description */\\n driver.switchTo().frame(0);\\n driver.findElement(By.cssSelector(\\\"body\\\")).sendKeys(\\\"Test case \\\" + testCaseUID + \\\" description\\\");\\n\\n /* set test case preconditions */\\n driver.switchTo().parentFrame();\\n driver.switchTo().frame(1);\\n driver.findElement(By.cssSelector(\\\"body\\\")).sendKeys(\\\"Test case \\\" + testCaseUID + \\\" preconditions\\\");\\n\\n /* save test case */\\n driver.switchTo().parentFrame();\\n driver.findElement(By.cssSelector(\\\"#do_create_button\\\")).click();\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"411bc1696cbe53a7be900b8f852252d4\",\n \"score\": \"0.50265354\",\n \"text\": \"@Test\\n\\tpublic void create() {\\n\\t\\t\\n\\t\\tJSONObject jobj = new JSONObject();\\n\\t\\tjobj.put(\\\"createdBy\\\", \\\"Ruparani\\\");\\n\\t\\tjobj.put(\\\"projectName\\\", \\\"Deepaksb\\\");\\n\\t\\tjobj.put(\\\"status\\\", \\\"completed\\\");\\n\\t\\tjobj.put(\\\"teamsize\\\", 30);\\n\\t\\t\\n\\t\\t//set the request specification before sending the request \\n\\t\\t\\n\\t\\tRequestSpecification reqspec =RestAssured.given();\\n\\t\\treqspec.contentType(ContentType.JSON);\\n\\t\\treqspec.body(jobj);\\n\\t\\t\\n\\t\\t\\n\\t\\t//send the request \\n\\t\\t\\t\\tResponse res = reqspec.post(\\\"http://localhost:8084/addProject\\\");\\n\\t\\t\\t\\tres.then().assertThat().statusCode(201);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// print the response \\n\\t\\t\\t\\tSystem.out.println(res.asString());\\n\\t\\t\\t\\tSystem.out.println(res.prettyPrint());\\n\\t\\t\\t\\tSystem.out.println(res.prettyPeek());\\n\\n//\\t\\t\\t\\t// validate the response\\n//\\t\\t\\t\\tValidatableResponse validate = res.then();\\n//\\t\\t\\t\\tvalidate.assertThat().statusCode(201);\\n//\\t\\t\\t\\tvalidate.assertThat().contentType(\\\"application/json\\\");\\n//\\t\\t\\t\\tvalidate.log().all();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f2362fed56109442a363dd10bc5f0dc3\",\n \"score\": \"0.50256014\",\n \"text\": \"@Test\\r\\n\\tpublic void validAddUserTest() {\\n\\t\\tcreateCategory.clickAdminLink();\\r\\n\\t\\tcreateCategory.clickCoursesCategoryLink();\\r\\n\\t\\t\\r\\n\\t\\t// Creating a new category\\r\\n\\t\\tcreateCategory.clickAddCategoryLink();\\r\\n\\t\\tcreateCategory.sendCategoryCode(\\\"11\\\");\\r\\n\\t\\tcreateCategory.sendCategoryName(\\\"Category3\\\");\\r\\n\\t\\tcreateCategory.clickYesRadio();\\r\\n\\t\\tcreateCategory.clickCategorySubmit();\\r\\n\\t\\tcreateCategory.clickAdminLink();\\r\\n\\t\\t\\r\\n\\t\\t// creating a new course\\r\\n\\t\\tcreateCategory.clickCreateCourseLink();\\r\\n\\t\\tcreateCategory.sendCourseTitle(\\\"Selenium_121\\\");\\r\\n\\t\\tcreateCategory.sendCode(\\\"ABD\\\");\\r\\n\\t\\tcreateCategory.clickTeacherDrpDown();\\r\\n\\t\\tcreateCategory.clickCategoryDrpDown();\\r\\n\\t\\tcreateCategory.clickLanguageDrpDown();\\r\\n\\t\\tcreateCategory.clickSubmitLink();\\r\\n\\t\\t\\r\\n\\t\\t//Assertion\\r\\n\\t\\tString Actual = createCategory.Assertion();;\\r\\n\\t String Expected = \\\"Course Selenium_121 added\\\";\\r\\n\\t\\tAssert.assertTrue(Actual.contains(Expected));\\r\\n\\t\\tscreenShot.captureScreenShot(\\\"TC047\\\");\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4a6aa489d8fd922b061decc055ffab4b\",\n \"score\": \"0.50226253\",\n \"text\": \"@Test\\n public void testCanUseFoodValid() {\\n Item valid = new Food(playerPosition,\\\"Sandwich\\\", \\\"Yummy\\\",1.0, 1.0,1.0, FOOD_TYPE.SANDWICH);\\n Assert.assertTrue(\\\"Should be able to use\\\", game.canUse(valid));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c77f23e2e559a005611e38a419b33bf2\",\n \"score\": \"0.5021798\",\n \"text\": \"@Before\\r\\n public void setUp() {\\r\\n OpenVPMSApp app = (OpenVPMSApp) applicationContext.getBean(\\\"openVPMSApp\\\");\\r\\n app.setApplicationContext(applicationContext);\\r\\n ApplicationInstance.setActive(app);\\r\\n app.doInit();\\r\\n\\r\\n Party practice = getPractice();\\r\\n practice.addContact(TestHelper.createEmailContact(\\\"foo@bar.com\\\"));\\r\\n\\r\\n TemplateHelper helper = new TemplateHelper(getArchetypeService());\\r\\n Entity entity = helper.getTemplateForArchetype(CustomerAccountArchetypes.OPENING_BALANCE);\\r\\n if (entity == null) {\\r\\n entity = (Entity) create(DocumentArchetypes.DOCUMENT_TEMPLATE);\\r\\n }\\r\\n IMObjectBean bean = new IMObjectBean(entity);\\r\\n bean.setValue(\\\"name\\\", \\\"Statement\\\");\\r\\n bean.setValue(\\\"archetype\\\", CustomerAccountArchetypes.OPENING_BALANCE);\\r\\n bean.setValue(\\\"emailSubject\\\", \\\"Statement email\\\");\\r\\n bean.setValue(\\\"emailText\\\", \\\"Statement text\\\");\\r\\n if (entity.isNew() || helper.getDocumentAct(entity) == null) {\\r\\n DocumentTestHelper.createDocumentTemplate(entity);\\r\\n } else {\\r\\n bean.save();\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef04873acdd0ddf04e27454e017baf16\",\n \"score\": \"0.5017916\",\n \"text\": \"@Test(groups={\\\"minimumRegression\\\",\\\"Name\\\",\\\"OWS\\\",\\\"InsertClaim\\\"})\\n\\t\\tpublic void insertClaim_41283() {\\n\\t\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\t\\tString testname = \\\"insertClaim_41283\\\";\\n\\t\\t\\t\\t\\t\\tWSClient.startTest(testname, \\\"Verify that claim is inserted by passing membership information\\\", \\\"minimumRegression\\\");\\n\\t\\t\\t\\t\\t\\tOPERALib.setOperaHeader(OPERALib.getUserName());\\n\\t\\t\\t\\t\\t\\tString operaProfileID=\\\" \\\";\\n\\t\\t\\t\\t\\t\\tString resortOperaValue = OPERALib.getResort();\\n\\t\\t\\t\\t\\t\\tString chain=OPERALib.getChain();\\n\\t\\t WSClient.setData(\\\"{var_resort}\\\", resortOperaValue);\\n\\t\\t WSClient.setData(\\\"{var_chain}\\\",chain);\\n\\t\\t WSClient.setData(\\\"{var_chaincode}\\\", chain);\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t// Creating a profile\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\toperaProfileID = CreateProfile.createProfile(\\\"DS_01\\\");\\n\\t\\t\\t\\t\\t\\tif (!operaProfileID.equals(\\\"error\\\")) {\\n\\t\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_profileID}\\\", operaProfileID);\\n\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Profile ID :\\\" + operaProfileID+\\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\tString query3 = WSClient.getQuery(\\\"OWSInsertClaim\\\",\\\"QS_03\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\tLinkedHashMap<String,String> temp3 = new LinkedHashMap<String,String>();\\n\\t\\t\\t\\t\\t\\t\\t\\ttemp3=WSClient.getDBRow(query3);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_nameOnCard}\\\", temp3.get(\\\"first\\\"));\\n\\t\\t\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_memType}\\\",OperaPropConfig.getDataSetForCode(\\\"MembershipType\\\",\\\"DS_03\\\"));\\n\\t\\t\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_memLevel}\\\", OperaPropConfig.getDataSetForCode(\\\"MembershipLevel\\\",\\\"DS_03\\\"));\\n\\t\\t\\t\\t\\t\\t\\t\\tString createMembershipReq = WSClient.createSOAPMessage(\\\"CreateMembership\\\",\\\"DS_03\\\");\\n\\t\\t\\t\\t\\t String createMembershipRes = WSClient.processSOAPMessage(createMembershipReq);\\n\\t\\t\\t\\t\\t if (WSAssert.assertIfElementExists(createMembershipRes, \\\"CreateMembershipRS_Success\\\",\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tfalse)) { \\n\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\tsetOWSHeader();\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\tString resort = OPERALib.getResort();\\n\\t\\t\\t\\t\\t\\t\\t\\tString channel = OWSLib.getChannel();\\n\\t\\t\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_owsresort}\\\", OWSLib.getChannelResort(resort, channel));\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\tquery3 = WSClient.getQuery(\\\"OWSInsertClaim\\\",\\\"QS_04\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\ttemp3=WSClient.getDBRow(query3);\\n\\t\\t\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_memId}\\\", temp3.get(\\\"memId\\\"));\\n\\t\\t\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_memCardNo}\\\", temp3.get(\\\"memCardNo\\\"));\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\t// Creating request and processing response for OWS InsertClaim Operation\\n\\t\\t\\t\\t\\t\\t\\t\\tString insertClaimReq = WSClient.createSOAPMessage(\\\"OWSInsertClaim\\\", \\\"DS_06\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\tString insertClaimResponseXML = WSClient.processSOAPMessage(insertClaimReq);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\t// Validating response of OWS InsertClaim Operation\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\\"InsertClaimResponse_Result_resultStatusFlag\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif (WSAssert.assertIfElementValueEquals(insertClaimResponseXML,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\\"InsertClaimResponse_Result_resultStatusFlag\\\", \\\"SUCCESS\\\", false)) {\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// Database Validation\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tLinkedHashMap<String,String> db = new LinkedHashMap<String,String>();\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tLinkedHashMap<String,String> expectedValues = new LinkedHashMap<String,String>();\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tLinkedHashMap<String,String> xPath = new LinkedHashMap<String,String>();\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\txPath.put(\\\"InsertClaimRequest_Profile_NameID\\\", \\\"InsertClaimRequest_Profile\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\txPath.put(\\\"InsertClaimRequest_Claim_ClaimInformation\\\", \\\"InsertClaimRequest_Claim\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\texpectedValues = WSClient.getSingleNodeList(insertClaimReq, xPath, false, XMLType.REQUEST);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString query = WSClient.getQuery(\\\"QS_01\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tdb = WSClient.getDBRow(query);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSAssert.assertEquals(expectedValues,db,false);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}else {\\t\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>The error displayed in the InsertClaim response is :\\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"InsertClaimResponse_Result_OperaErrorCode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString operaErrorCode=WSAssert.getElementValue(insertClaimResponseXML, \\\"InsertClaimResponse_Result_OperaErrorCode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Opera Error Code :\\\"+ operaErrorCode + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"InsertClaimResponse_Result_GDSError\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"InsertClaimResponse_Result_GDSError\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>The gds error displayed in the InsertClaim response is :\\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.FAIL, \\\"ResultFlag doesn't exist in InsertClaim Response!\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"Fault_faultcode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"Fault_faultcode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>FaultCode : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"detail_fault_errorCode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"detail_fault_errorCode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>ErrorCode : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"detail_fault_reason\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"detail_fault_reason\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Reason : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.ERROR, \\\"Exception occurred in test case due to\\\" + e);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc2a03c3b3e10dde6dfcc8e9ce8bc2be\",\n \"score\": \"0.5017483\",\n \"text\": \"@Test (groups = {\\\"CAM_NewWrkOrder_01\\\", \\\"CT_Regression\\\", \\\"CT_BVT\\\", \\\"Work Order\\\", \\\"NewWorkOrder\\\", \\\"MileStone9\\\"}, enabled = true)\\n @Description(\\\"Verify Technician is able to navigate to New Work Order page\\\")\\n public void CAM_NewWrkOrder_01_TC01() throws Exception {\\n String Test_ID = \\\"CAM_NewWrkOrder_01_TC01\\\";\\n //log = extent.createTest(\\\"CAM_NewWrkOrder_01_TC01\\\", \\\"Verify user is able to navigate to New Work Order page\\\");\\n logger.info(\\\"Impersonate as a Technician: \\\" + GlobalVariables.NCal_OAK_Technician().get(\\\"Name\\\"));\\n Commonfn_ValidateCreateNewWorkOrderPage(GlobalVariables.NCal_OAK_Technician().get(\\\"Name\\\") ,Test_ID);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e68559ba227d7a8c746694a00a64b328\",\n \"score\": \"0.5017267\",\n \"text\": \"@Test\\n\\tpublic void TC052PMVE_24(){\\n\\t\\tresult.addLog(\\\"ID : TC052PMVE_24 : Verify that user can upload primary images file by dragging and dropping file into 'Add Custom Image File' area.\\\");\\n\\t\\t/*\\n\\t\\t\\tPre-condition: Partner user has \\\"Add and manage Products\\\" rights.\\n\\t\\t\\t\\n\\t\\t\\t1. Log into DTS portal as a partner admin\\n\\t\\t\\t2. Navigate to \\\"Accessories\\\" page\\n\\t\\t\\t3. Select an product from Products table\\n\\t\\t\\t4. Verify that the 040P product Detail page is displayed\\n\\t\\t\\t5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\t\\tVP. Verify that the 052P Model Variant Edit page is displayed.\\n\\t\\t\\t6. Click \\\"Upload Custom Images\\\" link\\n\\t\\t\\tVP. Verify that the \\\"Add Custom Image File\\\" is displayed.\\n\\t\\t\\t7. Drag and Drop a tuning file into Add Custom Image File area\\n\\t\\t */\\n\\t\\t// Navigate to Product page\\n\\t\\thome.click(Xpath.LINK_PARTNER_ACCESSORIES);\\n\\t\\t// 3. Select an accessory from accessories table\\n\\t\\thome.selectAnAccessory();\\n\\t\\t// 4. Verify that the 040P Accessory Detail page is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AccessoryInfo.TITLE_NAME));\\n\\t\\t// 5. Click \\\"Add New Variant\\\" link from \\\"Model Actions\\\" module\\n\\t\\thome.click(AccessoryInfo.ADD_VARIANT);\\n\\t\\t// VP: Verify that the 052P Model Variant Edit page is displayed\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.TITLE));\\t\\n\\t\\t//6. Click \\\"Upload Custom Images\\\" link\\n\\t\\thome.click(AddVariant.UPLOAD_CUSTOM_IMAGE);\\n\\t\\t//7. Drag and Drop a tuning file into Add Custom Image File area\\n\\t\\thome.dragDropFile(Constant.IMG_NAME[0]);\\n\\t\\tAssert.assertTrue(home.isElementPresent(AddVariant.CATALOG_IMAGE_UPLOAD_THUMBNAIL_250));\\n\\t\\t\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c78c09733e2d91a9eb97cdb0e76c0612\",\n \"score\": \"0.5009218\",\n \"text\": \"@Test\\r\\n\\tpublic void testAddInventoryItemOnNewItem() {\\r\\n\\t\\tassertTrue(myAuction.checkForDuplicates(myNewItem));\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00e6dbad5f1c3c0e46b99763935fdbc1\",\n \"score\": \"0.50078773\",\n \"text\": \"@Test\\n\\tpublic void testItem_13() throws Exception {\\n\\t\\tString request = \\\"{\\\\\\\"request\\\\\\\": {\\\\\\\"assessment_item\\\\\\\": {\\\\\\\"identifier\\\\\\\": \\\\\\\"\\\" + assessmentId\\n\\t\\t\\t\\t+ \\\"\\\\\\\",\\\\\\\"objectType\\\\\\\": \\\\\\\"AssessmentItem\\\\\\\",\\\\\\\"metadata\\\\\\\": {\\\\\\\"code\\\\\\\": \\\\\\\"test.qtt02\\\\\\\",\\\\\\\"framework\\\\\\\":\\\\\\\"NCFTEST\\\\\\\",\\\\\\\"board\\\\\\\":\\\\\\\"cbse\\\\\\\",\\\\\\\"body\\\\\\\":\\\\\\\"Test Data for body........save it in cassandra\\\\\\\", \\\\\\\"itemType\\\\\\\":\\\\\\\"UNIT\\\\\\\",\\\\\\\"category\\\\\\\":\\\\\\\"MCQ\\\\\\\",\\\\\\\"version\\\\\\\":2,\\\\\\\"name\\\\\\\": \\\\\\\"MCQ Question 2\\\\\\\",\\\\\\\"type\\\\\\\": \\\\\\\"mcq\\\\\\\",\\\\\\\"num_answers\\\\\\\": 1,\\\\\\\"template\\\\\\\": \\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"template_id\\\\\\\":\\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"qlevel\\\\\\\": \\\\\\\"MEDIUM\\\\\\\",\\\\\\\"owner\\\\\\\": \\\\\\\"username_1\\\\\\\",\\\\\\\"title\\\\\\\": \\\\\\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\\\\\",\\\\\\\"question\\\\\\\": \\\\\\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\\\\\",\\\\\\\"model\\\\\\\": {\\\\\\\"img\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"perimeter\\\\\\\"},\\\\\\\"img2\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"smallSquare\\\\\\\"},\\\\\\\"subtext\\\\\\\": \\\\\\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\\\\\"},\\\\\\\"options\\\\\\\": [{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&10\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"14&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"16&8\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"},\\\\\\\"score\\\\\\\": 1}],\\\\\\\"max_score\\\\\\\": 1,\\\\\\\"partial_scoring\\\\\\\": false,\\\\\\\"feedback\\\\\\\": \\\\\\\"\\\\\\\"}}}}\\\";\\n\\t\\tString path = basePath + \\\"/update/\\\" + assessmentId;\\n\\t\\tactions = mockMvc.perform(MockMvcRequestBuilders.patch(path).contentType(MediaType.APPLICATION_JSON)\\n\\t\\t\\t\\t.header(\\\"X-Channel-Id\\\", \\\"in.ekstep\\\").content(request));\\n\\t\\tAssert.assertEquals(200, actions.andReturn().getResponse().getStatus());\\n\\t\\tpath = basePath + \\\"/read/\\\" + assessmentId;\\n\\t\\tactions = mockMvc.perform(MockMvcRequestBuilders.get(path).contentType(MediaType.APPLICATION_JSON)\\n\\t\\t\\t\\t.header(\\\"X-Channel-Id\\\", \\\"in.ekstep\\\"));\\n\\t\\tassertEquals(200, actions.andReturn().getResponse().getStatus());\\n\\t\\tResponse resp = getResponse(actions);\\n\\t\\tString board = (String) ((Map<String, Object>) resp.getResult().get(\\\"assessment_item\\\")).get(\\\"board\\\");\\n\\t\\tassertEquals(\\\"cbse\\\", board);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f6a3eb130fdae598c28f691ccf0e2c2a\",\n \"score\": \"0.50034857\",\n \"text\": \"public Item createItem(Item item) {\\n items.get().save(item);\\n return item;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3826bae7985177f992830d24454eb3e0\",\n \"score\": \"0.5002603\",\n \"text\": \"@Test\\n public void testCanUseTrapNoPredator() {\\n //Trap can be used if there is a predator here\\n Item tool = new Trap(playerPosition,\\\"Trap\\\", \\\"A predator trap\\\",1.0, 1.0);\\n Assert.assertFalse(\\\"Should not be able to use\\\", game.canUse(tool));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f40316647535cf239a87173a6382e5ca\",\n \"score\": \"0.5002303\",\n \"text\": \"@Test(enabled = true, groups = {\\\"smoke\\\"})\\r\\n public void testCreateNew() throws Exception {\\r\\n newIssueRep = createAndVerifyJiraIssueObjective(\\\"jiraIssue\\\", newIssueProps());\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"363f80d28e393a2966d8ab87d0ca70be\",\n \"score\": \"0.5000962\",\n \"text\": \"@Test(expected=IllegalArgumentException.class)\\n public void missingCiPrefix() throws IOException{\\n contentItemFactory.createContentItem((String)null,TEST_CS);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1a5d2957cbb46327f47d6b879328daa1\",\n \"score\": \"0.5000045\",\n \"text\": \"@Test\\n void createNewListClicked() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87e65d785ffa40d9a728662c4a055400\",\n \"score\": \"0.49972203\",\n \"text\": \"public final void testPerformActionAddItem() {\\r\\n\\t\\tboolean action = turboManager.performAction(TurbobooksManager.Services.ADDITEM.getLabel(), item,\\r\\n\\t\\t\\t\\tmember.getMemberNumber());\\r\\n\\t\\tassertTrue(action);\\r\\n\\r\\n\\t\\tturboManager.performAction(TurbobooksManager.Services.REMOVEITEM.getLabel(), item, member.getMemberNumber());\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d3a7f0f69187e36772cf7d6f378d7f26\",\n \"score\": \"0.49898404\",\n \"text\": \"@Before\\n public void createApp()\\n {\\n //need person that was created method that takes the real mainContext\\n PersonStorageUtil.savePerson(mainContext, person);\\n //user Rule to launch given activity\\n mainActivityIntentsTestRule.launchActivity(null);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b3c72f7decb8f04876eda011d58ee3c6\",\n \"score\": \"0.49886155\",\n \"text\": \"@Test\\n public void itemsTest() {\\n // TODO: test items\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c065084a00611f6025de5946d79d070f\",\n \"score\": \"0.49880186\",\n \"text\": \"public void test_create_5() throws Exception {\\r\\n \\tProjectPayment obj = new ProjectPayment();\\r\\n \\tobj.setAmount(new BigDecimal(1));\\r\\n \\tobj.setCreateDate(new Date());\\r\\n \\tobj.setPactsPaymentId(1L);\\r\\n \\tobj.setProjectPaymentId(1L);\\r\\n \\tobj.setProjectPaymentType(paymenttype);\\r\\n \\tobj.setResourceId(1L);\\r\\n \\tobj.setSubmissionId(2L);\\r\\n try {\\r\\n instance.create(obj, \\\"testOperator\\\");\\r\\n fail(\\\"ProjectPaymentValidationException expected.\\\");\\r\\n } catch (ProjectPaymentValidationException iae) {\\r\\n //good\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b85b21f3bbf5264db93551c515449d8f\",\n \"score\": \"0.4984856\",\n \"text\": \"@Override\\r\\n\\t@Transactional\\r\\n\\tpublic ItemBoundary createItem(String userSpace, String userEmail, ItemBoundary item) {\\n\\t\\tutils.assertNull(item);\\r\\n\\t\\tutils.assertNull(item.getType());\\r\\n\\t\\tutils.assertNull(item.getName());\\r\\n\\r\\n\\t\\tString userId = utils.combineID(userSpace, userEmail);\\r\\n\\t\\tUserEntity manager = userDao.findById(userId)\\r\\n\\t\\t\\t\\t.orElseThrow(() -> new NotFoundException(\\\"User not found: \\\" + userId));\\r\\n\\t\\tutils.assertProperRole(manager.getRole(), UserRole.MANAGER.name());\\r\\n\\t\\tutils.assertItemType(item.getType());\\r\\n\\t\\t\\t\\r\\n\\t\\tItemEntity entity = this.entityConverter.fromBoundary(item);\\r\\n\\t\\tString id = utils.createUniqueID(springApplicationName);\\r\\n\\t\\tentity.setCreatorEmail(userEmail);\\r\\n\\t\\tentity.setItemId(id);\\r\\n\\t\\tentity.setCreatedTimestamp(new Date());\\r\\n\\t\\tthis.itemsDao.save(entity);\\r\\n\\t\\treturn this.entityConverter.toBoundary(entity);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f902c38704cbe3d20fd9922a19c8dfa\",\n \"score\": \"0.49845588\",\n \"text\": \"UMLTestCase createUMLTestCase();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb2c06cea0b036786f1a902f26872c4d\",\n \"score\": \"0.49840385\",\n \"text\": \"@Test\\n public void addItemsToBasketWithLessThanOneQty() {\\n try {\\n basketTest.addItem(bike2, -4);\\n fail(\\\"IllegalArgumentException was not thrown.\\\");\\n }\\n catch (IllegalArgumentException e) {\\n assertEquals(\\\"Select at least one item.\\\", e.getMessage());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bfb795c6de5a6d89b9829de220afdddd\",\n \"score\": \"0.49774107\",\n \"text\": \"@Test\\n public void addCustomComplianceStandardTest() {\\n Integer externalAccountId = null;\\n Integer customComplianceStandardId = null;\\n // Meta response = api.addCustomComplianceStandard(externalAccountId, customComplianceStandardId);\\n\\n // TODO: test validations\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35ed02d1cf295f5f13410948537e30fa\",\n \"score\": \"0.4975229\",\n \"text\": \"@Test\\n public void testCanCollectCollectable(){\\n Item valid = new Food(playerPosition,\\\"Sandwich\\\", \\\"Yummy\\\",1.0, 1.0,1.0, FOOD_TYPE.SANDWICH);\\n Assert.assertTrue(\\\"Should be able to collect\\\", game.canCollect(valid));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2d81caa5bc6bd2833df23221627e3f1\",\n \"score\": \"0.49741733\",\n \"text\": \"@Test\\n\\tpublic void testSingleItemRule() throws BusinessException {\\n\\t\\tBuildMissionRuleDto rule = new BuildMissionRuleDto();\\n\\t\\trule.setRuleTemplate(initTemplate());\\n String template = initTemplate();\\n System.out.println(\\\"template:\\\" + template);\\n rule.setRuleTemplate(template);\\n\\t\\t// 生成规则\\n\\t\\tString ruleStr = this.creator.buildMissionRule(rule);\\n\\t\\t// 根据定义文件,反算获取定义对象\\n\\t\\tRuleDefinitionDto defineDto = this.ruleCalculate.calcDefinition(ruleStr);\\n\\t\\tSystem.out.println(defineDto);\\n\\t\\tSystem.out.println(JSON.toJSON(defineDto));\\n\\n\\t\\t// 根据计算对象,计算是否满足条件\\n\\t\\tSingleItemRuleDto calcDto = (SingleItemRuleDto) defineDto;\\n\\t\\tcalcDto.setAwardNum(null);\\n\\t\\tcalcDto.setStatus(0);\\n\\t\\tthis.ruleCalculate.calculate(ruleStr, calcDto);\\n\\t\\tSystem.out.println(\\\"计算之后:\\\" + JSON.toJSON(defineDto));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"89778e35d1da5ca10935fc48e80b2bb7\",\n \"score\": \"0.49738887\",\n \"text\": \"@Test\\n\\tpublic void testItem_14() throws Exception {\\n\\t\\tString request = \\\"{\\\\\\\"request\\\\\\\": {\\\\\\\"assessment_item\\\\\\\": {\\\\\\\"identifier\\\\\\\": \\\\\\\"\\\" + assessmentId\\n\\t\\t\\t\\t+ \\\"\\\\\\\",\\\\\\\"objectType\\\\\\\": \\\\\\\"AssessmentItem\\\\\\\",\\\\\\\"metadata\\\\\\\": {\\\\\\\"code\\\\\\\": \\\\\\\"test.qtt02\\\\\\\",\\\\\\\"framework\\\\\\\":\\\\\\\"NCFTEST\\\\\\\",\\\\\\\"subject\\\\\\\":\\\\\\\"board\\\\\\\",\\\\\\\"icse\\\\\\\":\\\\\\\"Test Data for body........save it in cassandra\\\\\\\", \\\\\\\"itemType\\\\\\\":\\\\\\\"UNIT\\\\\\\",\\\\\\\"category\\\\\\\":\\\\\\\"MCQ\\\\\\\",\\\\\\\"version\\\\\\\":2,\\\\\\\"name\\\\\\\": \\\\\\\"MCQ Question 2\\\\\\\",\\\\\\\"type\\\\\\\": \\\\\\\"mcq\\\\\\\",\\\\\\\"num_answers\\\\\\\": 1,\\\\\\\"template\\\\\\\": \\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"template_id\\\\\\\":\\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"qlevel\\\\\\\": \\\\\\\"MEDIUM\\\\\\\",\\\\\\\"owner\\\\\\\": \\\\\\\"username_1\\\\\\\",\\\\\\\"title\\\\\\\": \\\\\\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\\\\\",\\\\\\\"question\\\\\\\": \\\\\\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\\\\\",\\\\\\\"model\\\\\\\": {\\\\\\\"img\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"perimeter\\\\\\\"},\\\\\\\"img2\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"smallSquare\\\\\\\"},\\\\\\\"subtext\\\\\\\": \\\\\\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\\\\\"},\\\\\\\"options\\\\\\\": [{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&10\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"14&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"16&8\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"},\\\\\\\"score\\\\\\\": 1}],\\\\\\\"max_score\\\\\\\": 1,\\\\\\\"partial_scoring\\\\\\\": false,\\\\\\\"feedback\\\\\\\": \\\\\\\"\\\\\\\"}}}}\\\";\\n\\t\\tString path = basePath + \\\"/update/\\\" + assessmentId;\\n\\t\\tactions = mockMvc.perform(MockMvcRequestBuilders.patch(path).contentType(MediaType.APPLICATION_JSON)\\n\\t\\t\\t\\t.header(\\\"X-Channel-Id\\\", \\\"in.ekstep\\\").content(request));\\n\\t\\tAssert.assertEquals(400, actions.andReturn().getResponse().getStatus());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4077c80185134e9c3a816927cd60e78c\",\n \"score\": \"0.49732894\",\n \"text\": \"@Test\\n void getSaveItems()\\n {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cf47cdd20aaf0f561a8c1de7078c2a1d\",\n \"score\": \"0.49678025\",\n \"text\": \"@Test\\n\\tpublic void testItem_21() throws Exception {\\n\\t\\tString request = \\\"{\\\\\\\"request\\\\\\\": {\\\\\\\"assessment_item\\\\\\\": {\\\\\\\"identifier\\\\\\\": \\\\\\\"\\\" + assessmentId\\n\\t\\t\\t\\t+ \\\"\\\\\\\",\\\\\\\"objectType\\\\\\\": \\\\\\\"AssessmentItem\\\\\\\",\\\\\\\"metadata\\\\\\\": {\\\\\\\"code\\\\\\\": \\\\\\\"test.qtt02\\\\\\\",\\\\\\\"framework\\\\\\\":\\\\\\\"NCFTEST\\\\\\\",\\\\\\\"topic\\\\\\\":[\\\\\\\"addition\\\\\\\"],\\\\\\\"body\\\\\\\":\\\\\\\"Test Data for body........save it in cassandra\\\\\\\", \\\\\\\"itemType\\\\\\\":\\\\\\\"UNIT\\\\\\\",\\\\\\\"category\\\\\\\":\\\\\\\"MCQ\\\\\\\",\\\\\\\"version\\\\\\\":2,\\\\\\\"name\\\\\\\": \\\\\\\"MCQ Question 2\\\\\\\",\\\\\\\"type\\\\\\\": \\\\\\\"mcq\\\\\\\",\\\\\\\"num_answers\\\\\\\": 1,\\\\\\\"template\\\\\\\": \\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"template_id\\\\\\\":\\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"qlevel\\\\\\\": \\\\\\\"MEDIUM\\\\\\\",\\\\\\\"owner\\\\\\\": \\\\\\\"username_1\\\\\\\",\\\\\\\"title\\\\\\\": \\\\\\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\\\\\",\\\\\\\"question\\\\\\\": \\\\\\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\\\\\",\\\\\\\"model\\\\\\\": {\\\\\\\"img\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"perimeter\\\\\\\"},\\\\\\\"img2\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"smallSquare\\\\\\\"},\\\\\\\"subtext\\\\\\\": \\\\\\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\\\\\"},\\\\\\\"options\\\\\\\": [{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&10\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"14&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"16&8\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"},\\\\\\\"score\\\\\\\": 1}],\\\\\\\"max_score\\\\\\\": 1,\\\\\\\"partial_scoring\\\\\\\": false,\\\\\\\"feedback\\\\\\\": \\\\\\\"\\\\\\\"}}}}\\\";\\n\\t\\tString path = basePath + \\\"/update/\\\" + assessmentId;\\n\\t\\tactions = mockMvc.perform(MockMvcRequestBuilders.patch(path).contentType(MediaType.APPLICATION_JSON)\\n\\t\\t\\t\\t.header(\\\"X-Channel-Id\\\", \\\"in.ekstep\\\").content(request));\\n\\t\\tAssert.assertEquals(200, actions.andReturn().getResponse().getStatus());\\n\\t\\tpath = basePath + \\\"/read/\\\" + assessmentId;\\n\\t\\tactions = mockMvc.perform(MockMvcRequestBuilders.get(path).contentType(MediaType.APPLICATION_JSON)\\n\\t\\t\\t\\t.header(\\\"X-Channel-Id\\\", \\\"in.ekstep\\\"));\\n\\t\\tassertEquals(200, actions.andReturn().getResponse().getStatus());\\n\\t\\tResponse resp = getResponse(actions);\\n\\t\\tList<String> topic = (List<String>) ((Map<String, Object>) resp.getResult().get(\\\"assessment_item\\\"))\\n\\t\\t\\t\\t.get(\\\"topic\\\");\\n\\t\\tassertEquals(\\\"addition\\\", (String) topic.get(0));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"218bb310a023ce3f829243bce13551ef\",\n \"score\": \"0.4965981\",\n \"text\": \"@Test\\n\\tpublic void testItem_18() throws Exception {\\n\\t\\tString request = \\\"{\\\\\\\"request\\\\\\\": {\\\\\\\"assessment_item\\\\\\\": {\\\\\\\"identifier\\\\\\\": \\\\\\\"\\\" + assessmentId\\n\\t\\t\\t\\t+ \\\"\\\\\\\",\\\\\\\"objectType\\\\\\\": \\\\\\\"AssessmentItem\\\\\\\",\\\\\\\"metadata\\\\\\\": {\\\\\\\"code\\\\\\\": \\\\\\\"test.qtt02\\\\\\\",\\\\\\\"framework\\\\\\\":\\\\\\\"NCFTEST\\\\\\\"\\\\\\\"gradeLevel\\\\\\\":[\\\\\\\"grade-1\\\\\\\"],\\\\\\\"icse\\\\\\\":\\\\\\\"Test Data for body........save it in cassandra\\\\\\\", \\\\\\\"itemType\\\\\\\":\\\\\\\"UNIT\\\\\\\",\\\\\\\"category\\\\\\\":\\\\\\\"MCQ\\\\\\\",\\\\\\\"version\\\\\\\":2,\\\\\\\"name\\\\\\\": \\\\\\\"MCQ Question 2\\\\\\\",\\\\\\\"type\\\\\\\": \\\\\\\"mcq\\\\\\\",\\\\\\\"num_answers\\\\\\\": 1,\\\\\\\"template\\\\\\\": \\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"template_id\\\\\\\":\\\\\\\"mcq_template_2\\\\\\\",\\\\\\\"qlevel\\\\\\\": \\\\\\\"MEDIUM\\\\\\\",\\\\\\\"owner\\\\\\\": \\\\\\\"username_1\\\\\\\",\\\\\\\"title\\\\\\\": \\\\\\\"ಈ ಚಿತ್ರದ ವಿಸ್ತೀರ್ಣವನ್ನು ಹಾಗೂ ಸುತ್ತಳತೆಯನ್ನು ಲೆಕ್ಕ ಮಾಡಿ. ಸೂಕ್ತ ಉತ್ತರವನ್ನು ಆರಿಸಿರಿ.\\\\\\\",\\\\\\\"question\\\\\\\": \\\\\\\"ವಿಸ್ತೀರ್ಣ = ___________ ಚದರ ಸೆಂ.ಮೀ.ಸುತ್ತಳತೆ= __________ ಚದರ ಸೆಂ.ಮೀ.\\\\\\\",\\\\\\\"model\\\\\\\": {\\\\\\\"img\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"perimeter\\\\\\\"},\\\\\\\"img2\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"image\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"smallSquare\\\\\\\"},\\\\\\\"subtext\\\\\\\": \\\\\\\"( = 1 ಚದರ ಸೆಂ.ಮೀ)\\\\\\\"},\\\\\\\"options\\\\\\\": [{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&10\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"14&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"16&8\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"}},{\\\\\\\"value\\\\\\\": {\\\\\\\"type\\\\\\\": \\\\\\\"text\\\\\\\",\\\\\\\"asset\\\\\\\": \\\\\\\"12&7\\\\\\\",\\\\\\\"font\\\\\\\": \\\\\\\"Verdana\\\\\\\",\\\\\\\"color\\\\\\\": \\\\\\\"white\\\\\\\",\\\\\\\"fontsize\\\\\\\": \\\\\\\"240\\\\\\\"},\\\\\\\"score\\\\\\\": 1}],\\\\\\\"max_score\\\\\\\": 1,\\\\\\\"partial_scoring\\\\\\\": false,\\\\\\\"feedback\\\\\\\": \\\\\\\"\\\\\\\"}}}}\\\";\\n\\t\\tString path = basePath + \\\"/update/\\\" + assessmentId;\\n\\t\\tactions = mockMvc.perform(MockMvcRequestBuilders.patch(path).contentType(MediaType.APPLICATION_JSON)\\n\\t\\t\\t\\t.header(\\\"X-Channel-Id\\\", \\\"in.ekstep\\\").content(request));\\n\\t\\tAssert.assertEquals(400, actions.andReturn().getResponse().getStatus());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e27621832d254359f6ab55c85b7b1e53\",\n \"score\": \"0.49643996\",\n \"text\": \"@Test\\n public void testUpdateItem() {\\n List<Category> categories = new ArrayList<>(); \\n \\n Item item = makeItem();\\n dao.addItem(item);\\n\\n Item item2 = new Item();\\n item2.setItemName(\\\"Camera Y\\\");\\n item2.setDescription(\\\"Good camera but it's broke\\\");\\n item2.setCategories(categories);\\n item2.setFeaturedItem(TRUE);\\n item2.setImageTitle(\\\"picture of the camera\\\");\\n \\n item2.setItemId(item.getItemId());\\n\\n dao.updateItem(item2);\\n assertEquals(item2, dao.getItem(item.getItemId()));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"deca7d9b734921dd38e93779d35e63f1\",\n \"score\": \"0.4962222\",\n \"text\": \"@Test\\n public void testAddItem() {\\n Item item = makeItem();\\n item = dao.addItem(item);\\n\\n assertEquals(item, dao.getItem(item.getItemId()));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a957b31bdbb599d9c3e32f97866671f7\",\n \"score\": \"0.49580422\",\n \"text\": \"@Test\\n\\tvoid testItem() throws Exception {\\n\\t\\tguest = guest.getGuestInstance();\\n\\n\\t\\tassert (true);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3956e897f16ca1afc0362c76a7a7dd08\",\n \"score\": \"0.49576807\",\n \"text\": \"@Test(expected=IllegalArgumentException.class)\\n public void missingCiContentSource() throws IOException{\\n contentItemFactory.createContentItem((ContentSource)null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a404ed5c807a6bcd7da44d49dbed753\",\n \"score\": \"0.4957134\",\n \"text\": \"@Test(groups={\\\"minimumRegression\\\",\\\"Name\\\",\\\"OWS\\\",\\\"InsertClaim\\\"})\\n\\t\\tpublic void insertClaim_40020() {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tString testname = \\\"insertClaim_40020\\\";\\n\\t\\t\\t\\tString operaProfileID=\\\" \\\";\\n\\t\\t\\t\\tWSClient.startTest(testname, \\\"Verify that error message is obtained by passing nameid type as EXTERNAL.\\\", \\\"minimumRegression\\\");\\n\\t\\t\\t\\tString resortOperaValue = OPERALib.getResort();\\n\\t\\t\\t\\tString chain=OPERALib.getChain();\\n WSClient.setData(\\\"{var_resort}\\\", resortOperaValue);\\n WSClient.setData(\\\"{var_chain}\\\",chain);\\n WSClient.setData(\\\"{var_chaincode}\\\", chain);\\n OPERALib.setOperaHeader(OPERALib.getUserName());\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// Creating a profile\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\toperaProfileID = CreateProfile.createProfile(\\\"DS_01\\\");\\n\\t\\t\\t\\tif (!operaProfileID.equals(\\\"error\\\")) {\\n\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_profileID}\\\", operaProfileID);\\n\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Profile ID :\\\" + operaProfileID+\\\"</b>\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_claimInfo}\\\", \\\"Card not issued\\\");\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tsetOWSHeader();\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tString resort = OPERALib.getResort();\\n\\t\\t\\t\\t\\t\\tString channel = OWSLib.getChannel();\\n\\t\\t\\t\\t\\t\\tWSClient.setData(\\\"{var_owsresort}\\\", OWSLib.getChannelResort(resort, channel));\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t// Creating request and processing response for OWS InsertClaim Operation\\n\\t\\t\\t\\t\\t\\tString insertClaimReq = WSClient.createSOAPMessage(\\\"OWSInsertClaim\\\", \\\"DS_02\\\");\\n\\t\\t\\t\\t\\t\\tString insertClaimResponseXML = WSClient.processSOAPMessage(insertClaimReq);\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t// Validating response of OWS InsertClaim Operation\\n\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\\"InsertClaimResponse_Result_resultStatusFlag\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\tif (WSAssert.assertIfElementValueEquals(insertClaimResponseXML,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\\"InsertClaimResponse_Result_resultStatusFlag\\\", \\\"FAIL\\\", false)) {\\t\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", false)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementValueEquals(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", \\\"This instance does not support EXTERNAL NameID values.\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSAssert.assertIfElementValueEquals(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", \\\"This instance does not support EXTERNAL NameID values.\\\", false);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}else if(WSAssert.assertIfElementContains(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", \\\"Invalid Name ID\\\", false)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"Result_Text_TextElement\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>The error displayed in the InsertClaim response is :\\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"InsertClaimResponse_Result_OperaErrorCode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString operaErrorCode=WSAssert.getElementValue(insertClaimResponseXML, \\\"InsertClaimResponse_Result_OperaErrorCode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Opera Error Code :\\\"+ operaErrorCode+\\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"InsertClaimResponse_Result_GDSError\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"InsertClaimResponse_Result_GDSError\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>The gds error displayed in the InsertClaim response is :\\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t}else {\\t\\n\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.FAIL, \\\"Test Failed\\\");\\t\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.FAIL, \\\"ResultFlag doesn't exist in InsertClaim Response!\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"Fault_faultcode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"Fault_faultcode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>FaultCode : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"detail_fault_errorCode\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"detail_fault_errorCode\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>ErrorCode : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\tif(WSAssert.assertIfElementExists(insertClaimResponseXML, \\\"detail_fault_reason\\\", true)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tString message=WSAssert.getElementValue(insertClaimResponseXML, \\\"detail_fault_reason\\\", XMLType.RESPONSE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tWSClient.writeToReport(LogStatus.INFO, \\\"<b>Reason : \\\"+ message + \\\"</b>\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\tWSClient.writeToReport(LogStatus.ERROR, \\\"Exception occured in test case due to\\\" + e);\\n\\t\\t\\t}\\n\\t\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990989,"cells":{"query_id":{"kind":"string","value":"25197b4cf814864ecd440f23b9149cb3"},"query":{"kind":"string","value":"TODO Autogenerated method stub"},"positive_passages":{"kind":"list like","value":[{"docid":"ba99a7ba850ad35698558556e32210bd","score":"0.0","text":"@Override\n\t//ここでは使用しない\n\tpublic void mouseMoved(MouseEvent arg0) {\n\n\t}","title":""}],"string":"[\n {\n \"docid\": \"ba99a7ba850ad35698558556e32210bd\",\n \"score\": \"0.0\",\n \"text\": \"@Override\\n\\t//ここでは使用しない\\n\\tpublic void mouseMoved(MouseEvent arg0) {\\n\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"ffe5fe3cec40acf4b0b07ea257dfa06a","score":"0.6831473","text":"private void apparence()\r\n\t\t{\r\n\r\n\t\t}","title":""},{"docid":"838a915c9ea69d56cc37df198cff9cb2","score":"0.67589027","text":"@Override\n\t\t\t\tpublic void pintar() {\n\t\t\t\t\t\n\t\t\t\t}","title":""},{"docid":"479340d7603590876396cc58262a3776","score":"0.6593355","text":"@Override\r\n\tpublic int attaquer() {\r\n\t\t// TODO Auto-generated method stub\r\n\t\treturn 0;\r\n\t}","title":""},{"docid":"ff9130d3531037a891a2580fd00e89e9","score":"0.649512","text":"@Override\r\n\tpublic void refuel() {\n\r\n\t}","title":""},{"docid":"4faa810505ebcb260aff0793654a731e","score":"0.64787245","text":"@Override\n\tpublic void refuel() {\n\t\t\n\t}","title":""},{"docid":"440ce72c689aef1dd3c429cf5498732b","score":"0.6443756","text":"@Override\n\tpublic void pohyb() {\n\n\t}","title":""},{"docid":"c2f383f280f298416bf45e72c374ecfa","score":"0.64127725","text":"@Override\r\n\tpublic void anularFact() {\n\t\t\r\n\t}","title":""},{"docid":"592b765f0188dd7fa8d3f1f3683fa9d7","score":"0.62889814","text":"@Override\n\tprotected void generateData() {\n\t\t\n\t}","title":""},{"docid":"4bc8e88e84699c223ea476caacb4d454","score":"0.6277223","text":"@Override\r\n\tpublic void sauter() {\n\t\t\r\n\t}","title":""},{"docid":"db6adf52deb87c2723f80c6df873c47d","score":"0.6273419","text":"public void mo4741aD() {\n }","title":""},{"docid":"80d10ea62cee927f9ad0a7965909eaba","score":"0.6230557","text":"@Override\n\tprotected void remplit() {\n\t\t\n\t}","title":""},{"docid":"95ffa256b098e9b494cb96d4874e063f","score":"0.6218078","text":"@Override\n\tvoid refuel() {\n\n\t}","title":""},{"docid":"03d7171196199db238d56b8aeab47987","score":"0.61277896","text":"private void welcom() {\n\n\t}","title":""},{"docid":"093a096d6e96e05b160fe2406b1e8a2d","score":"0.61053663","text":"@Override\n\tpublic void parir() {\n\t\t\n\t}","title":""},{"docid":"ce165aec4a92510d2d7f78a45c6a1f81","score":"0.60921794","text":"@Override\r\n\tpublic void retirer() {\n\t\t\r\n\t}","title":""},{"docid":"23f3a7415a3f7463e8a1124d06cf4cf2","score":"0.609125","text":"@Override\n\tpublic void valide() {\n\t\t\n\t}","title":""},{"docid":"e2c0ee2f563aa58a1d1fbb6ed1a49084","score":"0.60562134","text":"public void namam() {\n\t\t\r\n\t}","title":""},{"docid":"e2c0ee2f563aa58a1d1fbb6ed1a49084","score":"0.60562134","text":"public void namam() {\n\t\t\r\n\t}","title":""},{"docid":"453637afdcc490de35afa10f347a4092","score":"0.6052283","text":"protected void mo4927v() {\n }","title":""},{"docid":"081ae6b4d91b610b8046f5ebfe7ba326","score":"0.60330045","text":"@Override\r\n\tpublic void fertilizar() {\n\t\t\r\n\t}","title":""},{"docid":"4c9e25ea6f293e2f67da562cd4a0b657","score":"0.60203654","text":"public final void mo8553EA() {\n }","title":""},{"docid":"5fda61f75e47491fe0badbfe139070a9","score":"0.6020252","text":"@Override\n\tprotected void initdata() {\n\n\t}","title":""},{"docid":"b1cf16017c8057c0255a9ad368ecaee5","score":"0.60185045","text":"@Override\r\n\tprotected void init() {\n\r\n\t}","title":""},{"docid":"4c957ed6879296e2489fa4cc534c9d68","score":"0.60134614","text":"@Override\r\n\tpublic void geefMeerprijs() {\n\t\t\r\n\t}","title":""},{"docid":"fa1a013b1df2f5f1062e1cc971135645","score":"0.5987973","text":"@Override\n\tpublic void mamar() {\n\t\t\n\t}","title":""},{"docid":"e1a5212784625cf033b8b0d71916d9a8","score":"0.59843665","text":"@Override\r\n\tpublic void se_baisser() {\n\t\t\r\n\t}","title":""},{"docid":"ab92fd509dcf9edd6498a0302e1555e9","score":"0.598327","text":"@Override\n\tpublic void withdrawl() {\n\t\t\n\t}","title":""},{"docid":"8a997a9a187c71891dd8b44afdbaa2a2","score":"0.59794915","text":"private void noOtomatis(){\n\n \n \n \n\n }","title":""},{"docid":"0056b38abf02cf94e7a1afab1755d909","score":"0.59666646","text":"@Override\r\n\tpublic void defendre() {\n\t\t\r\n\t}","title":""},{"docid":"05b92fe6834e71a629bc6b218827d95f","score":"0.596291","text":"Intervencion() {\n\t}","title":""},{"docid":"acc39f55f5b37ab7050a241c64f9a4f9","score":"0.59580564","text":"@Override\n\tpublic void actualize() {\n\t\t\n\t}","title":""},{"docid":"9a1a66628f4518af9fa213c400d9592e","score":"0.5951102","text":"@Override\r\n\tprotected void initialize() {\r\n\t\t\r\n\t}","title":""},{"docid":"16a4669a2213802ac94829fc8d9946ff","score":"0.5935938","text":"@Override\n\t\tpublic void init() {\n\t\t\t\n\t\t}","title":""},{"docid":"8b18fd12dbb5303a665e92c25393fb78","score":"0.59239364","text":"@Override\n\tprotected void initData() {\n\t\t\n\t}","title":""},{"docid":"b4f806add60ad7a84ab034d616e626e7","score":"0.59232795","text":"@Override\n public void Ramasser() {\n }","title":""},{"docid":"fb8e5a5b14d5c382d38f4afcb6d4f55d","score":"0.59119946","text":"@Override\r\n\tpublic void reculer() {\n\t\t\r\n\t}","title":""},{"docid":"c9b74342d0ae0e22bc7119b60588c66a","score":"0.5897873","text":"@Override\n\t\t\tpublic int getType() {\n\t\t\t\treturn 0;\n\t\t\t}","title":""},{"docid":"835a3677095e4c9f21649ab17f1ba40b","score":"0.58930063","text":"private static void diwalioffer() {\n\t\t\r\n\t}","title":""},{"docid":"4967494f628119c8d3a4740e09278944","score":"0.5857751","text":"@Override\r\n\tprotected void initData() {\n\r\n\t}","title":""},{"docid":"4967494f628119c8d3a4740e09278944","score":"0.5857751","text":"@Override\r\n\tprotected void initData() {\n\r\n\t}","title":""},{"docid":"47bef3d0c0ee761e936de1dada2442ec","score":"0.5845612","text":"private void Partida() {\r\n\t}","title":""},{"docid":"c34617230b51592fc8652a6c8fc39d7b","score":"0.5841976","text":"@Override\n\t\t public int describeContents() { \n\t\t return 0;\n\t\t }","title":""},{"docid":"39c15addb7f9cae9284ae4af01c5a911","score":"0.58368444","text":"@Override\r\n\tpublic void cortar() {\n\t\t\r\n\t}","title":""},{"docid":"74acf90efa52ac7bee2d28c6dee180bf","score":"0.5808944","text":"public void mo25302P() {\n }","title":""},{"docid":"9d2f44c3ebe1fb8de1ac4ae677e2d851","score":"0.5806823","text":"@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","title":""},{"docid":"b14d9313b224be37257260448fc816d3","score":"0.5805753","text":"@Override\n\tpublic void breathes()\n\t{\n\n\t}","title":""},{"docid":"4958a5331fdb65d09e333f006441f701","score":"0.57990485","text":"@Override\n public int size() {\n // TODO Auto-generated method stub\n return 0;\n }","title":""},{"docid":"ce91051d32625345f2bf3562abbb93de","score":"0.5794177","text":"@Override\n\tprotected void inicializar() {\n\t}","title":""},{"docid":"2a790ebdc342a2b85b21b58d99e8bb02","score":"0.57934815","text":"@Override\n\tpublic void landen()\n\t{\n\t\t\n\t}","title":""},{"docid":"beee84210d56979d0068a8094fb2a5bd","score":"0.5792378","text":"@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","title":""},{"docid":"b17089ec7f3b873adc1ebff906be9241","score":"0.5790544","text":"@Override\r\n\tpublic void carregar() {\n\t\t\r\n\t}","title":""},{"docid":"925ab02db0448f51f913efd603e7b5b4","score":"0.57877386","text":"@Override\n\tpublic void breathe() {\n\n\t\t\n\t}","title":""},{"docid":"3f682cd35cc51a176e84d31bb70401ec","score":"0.5786728","text":"@Override\n\t\t\tpublic int Order() {\n\t\t\t\treturn 1;\n\t\t\t}","title":""},{"docid":"3f682cd35cc51a176e84d31bb70401ec","score":"0.5786728","text":"@Override\n\t\t\tpublic int Order() {\n\t\t\t\treturn 1;\n\t\t\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"b0f36892991e52a8359bd9bea7916606","score":"0.5773981","text":"@Override\r\n\tpublic void Value() {\n\t\t\r\n\t}","title":""},{"docid":"b0f36892991e52a8359bd9bea7916606","score":"0.5773981","text":"@Override\r\n\tpublic void Value() {\n\t\t\r\n\t}","title":""},{"docid":"e7dbef6468de164eadd6d220b4ed2936","score":"0.57625693","text":"@Override\n\tpublic void vegetais() {\n\t\t\n\t}","title":""},{"docid":"518a761521ca9f5cb8a8055b32b72cda","score":"0.57596046","text":"@Override\n\tprotected void initialize() {\n\t\t\n\t}","title":""},{"docid":"627bf6ef88b45b88b902a23fc9a6eb2b","score":"0.5754491","text":"@Override\r\n\tpublic void init()\r\n\t{\n\t\t\r\n\t}","title":""},{"docid":"1985dddb6264adc2fb069a687b25f36b","score":"0.57541007","text":"@Override\n\tpublic void groom() {\n\t\t\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"dfa3deb699f1baaf610b77ae9370559a","score":"0.57471","text":"@Override\n\tpublic void gravar() {\n\n\t}","title":""},{"docid":"bf96ef68c4dc727efe52fcae4e20a6c6","score":"0.5736261","text":"@Override\r\n public int getType() {\n return 1;\r\n }","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.57337177","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.57337177","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"a7ae27b45bb1a02a96ba4232264be825","score":"0.57315516","text":"@Override\n\tpublic void embarcar() {\n\t\t\n\t}","title":""},{"docid":"8b16d59a149827c698e510477f7a4e9d","score":"0.57292205","text":"public void mo9585b() {\n }","title":""},{"docid":"0ce436410fb4ad1af4e012ab5253a43a","score":"0.57232136","text":"@Override\n\tpublic void maas() {\n\t\t\n\t}","title":""},{"docid":"a937c607590931387a357d03c3b0eef4","score":"0.5715831","text":"@Override\n\tprotected void initialize() {\n\n\t}","title":""},{"docid":"10daa0b69fc83ea1f81c27147cd56557","score":"0.5712038","text":"@Override\n\tpublic void Ordenar() {\n\t\t\n\t}","title":""},{"docid":"78a0d7cad7b423dba2c6000b1302b9a0","score":"0.5705727","text":"@Override\n\tprotected void ganharExp() {\n\t\t\n\t}","title":""},{"docid":"162a468b891a508701c52265588e91b6","score":"0.5699155","text":"@Override\r\n public void init() {\n\r\n }","title":""},{"docid":"39132efb6b42f8ec625d96ff6226d80b","score":"0.56991017","text":"@Override\n\tprotected void lazyLoad() {\n\t\t\n\t}","title":""},{"docid":"6fba68e503150b58bb627390fe723ce3","score":"0.56942755","text":"@Override\r\n\tpublic void servir() {\n\t\t\r\n\t}","title":""},{"docid":"9e8299e02e2afca4b347ab5022949b84","score":"0.56936175","text":"@Override\n public void rest() {\n \n }","title":""},{"docid":"ddd8d8a26991b887b8f19171d700e1d3","score":"0.56922704","text":"@Override\n\tpublic void proveerdatos() {\n\t\t\n\t}","title":""},{"docid":"e21063ae833db842230f1d37006a0359","score":"0.56854326","text":"@Override public int getAtaque(){\n\n return 0;\n\n }","title":""},{"docid":"b6c641fa6ba40a5b14cc33cb07aa0671","score":"0.5669649","text":"@Override\n\tprotected void initData() {\n\t}","title":""},{"docid":"a0b89d2fbd83aefeb636ae04ad1fcd91","score":"0.56631064","text":"public void init(){\n\t //TODO Auto-generated method stub\n\t}","title":""},{"docid":"2aed4e4b25907c376dc30c486b4f975f","score":"0.5657416","text":"public final void mo73469b() {\n }","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""}],"string":"[\n {\n \"docid\": \"ffe5fe3cec40acf4b0b07ea257dfa06a\",\n \"score\": \"0.6831473\",\n \"text\": \"private void apparence()\\r\\n\\t\\t{\\r\\n\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"838a915c9ea69d56cc37df198cff9cb2\",\n \"score\": \"0.67589027\",\n \"text\": \"@Override\\n\\t\\t\\t\\tpublic void pintar() {\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"479340d7603590876396cc58262a3776\",\n \"score\": \"0.6593355\",\n \"text\": \"@Override\\r\\n\\tpublic int attaquer() {\\r\\n\\t\\t// TODO Auto-generated method stub\\r\\n\\t\\treturn 0;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff9130d3531037a891a2580fd00e89e9\",\n \"score\": \"0.649512\",\n \"text\": \"@Override\\r\\n\\tpublic void refuel() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4faa810505ebcb260aff0793654a731e\",\n \"score\": \"0.64787245\",\n \"text\": \"@Override\\n\\tpublic void refuel() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"440ce72c689aef1dd3c429cf5498732b\",\n \"score\": \"0.6443756\",\n \"text\": \"@Override\\n\\tpublic void pohyb() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2f383f280f298416bf45e72c374ecfa\",\n \"score\": \"0.64127725\",\n \"text\": \"@Override\\r\\n\\tpublic void anularFact() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"592b765f0188dd7fa8d3f1f3683fa9d7\",\n \"score\": \"0.62889814\",\n \"text\": \"@Override\\n\\tprotected void generateData() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4bc8e88e84699c223ea476caacb4d454\",\n \"score\": \"0.6277223\",\n \"text\": \"@Override\\r\\n\\tpublic void sauter() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db6adf52deb87c2723f80c6df873c47d\",\n \"score\": \"0.6273419\",\n \"text\": \"public void mo4741aD() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80d10ea62cee927f9ad0a7965909eaba\",\n \"score\": \"0.6230557\",\n \"text\": \"@Override\\n\\tprotected void remplit() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"95ffa256b098e9b494cb96d4874e063f\",\n \"score\": \"0.6218078\",\n \"text\": \"@Override\\n\\tvoid refuel() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"03d7171196199db238d56b8aeab47987\",\n \"score\": \"0.61277896\",\n \"text\": \"private void welcom() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"093a096d6e96e05b160fe2406b1e8a2d\",\n \"score\": \"0.61053663\",\n \"text\": \"@Override\\n\\tpublic void parir() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce165aec4a92510d2d7f78a45c6a1f81\",\n \"score\": \"0.60921794\",\n \"text\": \"@Override\\r\\n\\tpublic void retirer() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23f3a7415a3f7463e8a1124d06cf4cf2\",\n \"score\": \"0.609125\",\n \"text\": \"@Override\\n\\tpublic void valide() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e2c0ee2f563aa58a1d1fbb6ed1a49084\",\n \"score\": \"0.60562134\",\n \"text\": \"public void namam() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e2c0ee2f563aa58a1d1fbb6ed1a49084\",\n \"score\": \"0.60562134\",\n \"text\": \"public void namam() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"453637afdcc490de35afa10f347a4092\",\n \"score\": \"0.6052283\",\n \"text\": \"protected void mo4927v() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"081ae6b4d91b610b8046f5ebfe7ba326\",\n \"score\": \"0.60330045\",\n \"text\": \"@Override\\r\\n\\tpublic void fertilizar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4c9e25ea6f293e2f67da562cd4a0b657\",\n \"score\": \"0.60203654\",\n \"text\": \"public final void mo8553EA() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5fda61f75e47491fe0badbfe139070a9\",\n \"score\": \"0.6020252\",\n \"text\": \"@Override\\n\\tprotected void initdata() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b1cf16017c8057c0255a9ad368ecaee5\",\n \"score\": \"0.60185045\",\n \"text\": \"@Override\\r\\n\\tprotected void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4c957ed6879296e2489fa4cc534c9d68\",\n \"score\": \"0.60134614\",\n \"text\": \"@Override\\r\\n\\tpublic void geefMeerprijs() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa1a013b1df2f5f1062e1cc971135645\",\n \"score\": \"0.5987973\",\n \"text\": \"@Override\\n\\tpublic void mamar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e1a5212784625cf033b8b0d71916d9a8\",\n \"score\": \"0.59843665\",\n \"text\": \"@Override\\r\\n\\tpublic void se_baisser() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ab92fd509dcf9edd6498a0302e1555e9\",\n \"score\": \"0.598327\",\n \"text\": \"@Override\\n\\tpublic void withdrawl() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a997a9a187c71891dd8b44afdbaa2a2\",\n \"score\": \"0.59794915\",\n \"text\": \"private void noOtomatis(){\\n\\n \\n \\n \\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0056b38abf02cf94e7a1afab1755d909\",\n \"score\": \"0.59666646\",\n \"text\": \"@Override\\r\\n\\tpublic void defendre() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"05b92fe6834e71a629bc6b218827d95f\",\n \"score\": \"0.596291\",\n \"text\": \"Intervencion() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"acc39f55f5b37ab7050a241c64f9a4f9\",\n \"score\": \"0.59580564\",\n \"text\": \"@Override\\n\\tpublic void actualize() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a1a66628f4518af9fa213c400d9592e\",\n \"score\": \"0.5951102\",\n \"text\": \"@Override\\r\\n\\tprotected void initialize() {\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16a4669a2213802ac94829fc8d9946ff\",\n \"score\": \"0.5935938\",\n \"text\": \"@Override\\n\\t\\tpublic void init() {\\n\\t\\t\\t\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b18fd12dbb5303a665e92c25393fb78\",\n \"score\": \"0.59239364\",\n \"text\": \"@Override\\n\\tprotected void initData() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4f806add60ad7a84ab034d616e626e7\",\n \"score\": \"0.59232795\",\n \"text\": \"@Override\\n public void Ramasser() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb8e5a5b14d5c382d38f4afcb6d4f55d\",\n \"score\": \"0.59119946\",\n \"text\": \"@Override\\r\\n\\tpublic void reculer() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c9b74342d0ae0e22bc7119b60588c66a\",\n \"score\": \"0.5897873\",\n \"text\": \"@Override\\n\\t\\t\\tpublic int getType() {\\n\\t\\t\\t\\treturn 0;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"835a3677095e4c9f21649ab17f1ba40b\",\n \"score\": \"0.58930063\",\n \"text\": \"private static void diwalioffer() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4967494f628119c8d3a4740e09278944\",\n \"score\": \"0.5857751\",\n \"text\": \"@Override\\r\\n\\tprotected void initData() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4967494f628119c8d3a4740e09278944\",\n \"score\": \"0.5857751\",\n \"text\": \"@Override\\r\\n\\tprotected void initData() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"47bef3d0c0ee761e936de1dada2442ec\",\n \"score\": \"0.5845612\",\n \"text\": \"private void Partida() {\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c34617230b51592fc8652a6c8fc39d7b\",\n \"score\": \"0.5841976\",\n \"text\": \"@Override\\n\\t\\t public int describeContents() { \\n\\t\\t return 0;\\n\\t\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39c15addb7f9cae9284ae4af01c5a911\",\n \"score\": \"0.58368444\",\n \"text\": \"@Override\\r\\n\\tpublic void cortar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74acf90efa52ac7bee2d28c6dee180bf\",\n \"score\": \"0.5808944\",\n \"text\": \"public void mo25302P() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d2f44c3ebe1fb8de1ac4ae677e2d851\",\n \"score\": \"0.5806823\",\n \"text\": \"@Override\\r\\n\\tpublic void dibujar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b14d9313b224be37257260448fc816d3\",\n \"score\": \"0.5805753\",\n \"text\": \"@Override\\n\\tpublic void breathes()\\n\\t{\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4958a5331fdb65d09e333f006441f701\",\n \"score\": \"0.57990485\",\n \"text\": \"@Override\\n public int size() {\\n // TODO Auto-generated method stub\\n return 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce91051d32625345f2bf3562abbb93de\",\n \"score\": \"0.5794177\",\n \"text\": \"@Override\\n\\tprotected void inicializar() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a790ebdc342a2b85b21b58d99e8bb02\",\n \"score\": \"0.57934815\",\n \"text\": \"@Override\\n\\tpublic void landen()\\n\\t{\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"beee84210d56979d0068a8094fb2a5bd\",\n \"score\": \"0.5792378\",\n \"text\": \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b17089ec7f3b873adc1ebff906be9241\",\n \"score\": \"0.5790544\",\n \"text\": \"@Override\\r\\n\\tpublic void carregar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"925ab02db0448f51f913efd603e7b5b4\",\n \"score\": \"0.57877386\",\n \"text\": \"@Override\\n\\tpublic void breathe() {\\n\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f682cd35cc51a176e84d31bb70401ec\",\n \"score\": \"0.5786728\",\n \"text\": \"@Override\\n\\t\\t\\tpublic int Order() {\\n\\t\\t\\t\\treturn 1;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f682cd35cc51a176e84d31bb70401ec\",\n \"score\": \"0.5786728\",\n \"text\": \"@Override\\n\\t\\t\\tpublic int Order() {\\n\\t\\t\\t\\treturn 1;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0f36892991e52a8359bd9bea7916606\",\n \"score\": \"0.5773981\",\n \"text\": \"@Override\\r\\n\\tpublic void Value() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0f36892991e52a8359bd9bea7916606\",\n \"score\": \"0.5773981\",\n \"text\": \"@Override\\r\\n\\tpublic void Value() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e7dbef6468de164eadd6d220b4ed2936\",\n \"score\": \"0.57625693\",\n \"text\": \"@Override\\n\\tpublic void vegetais() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"518a761521ca9f5cb8a8055b32b72cda\",\n \"score\": \"0.57596046\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"627bf6ef88b45b88b902a23fc9a6eb2b\",\n \"score\": \"0.5754491\",\n \"text\": \"@Override\\r\\n\\tpublic void init()\\r\\n\\t{\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1985dddb6264adc2fb069a687b25f36b\",\n \"score\": \"0.57541007\",\n \"text\": \"@Override\\n\\tpublic void groom() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dfa3deb699f1baaf610b77ae9370559a\",\n \"score\": \"0.57471\",\n \"text\": \"@Override\\n\\tpublic void gravar() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf96ef68c4dc727efe52fcae4e20a6c6\",\n \"score\": \"0.5736261\",\n \"text\": \"@Override\\r\\n public int getType() {\\n return 1;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.57337177\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.57337177\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7ae27b45bb1a02a96ba4232264be825\",\n \"score\": \"0.57315516\",\n \"text\": \"@Override\\n\\tpublic void embarcar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b16d59a149827c698e510477f7a4e9d\",\n \"score\": \"0.57292205\",\n \"text\": \"public void mo9585b() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0ce436410fb4ad1af4e012ab5253a43a\",\n \"score\": \"0.57232136\",\n \"text\": \"@Override\\n\\tpublic void maas() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a937c607590931387a357d03c3b0eef4\",\n \"score\": \"0.5715831\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10daa0b69fc83ea1f81c27147cd56557\",\n \"score\": \"0.5712038\",\n \"text\": \"@Override\\n\\tpublic void Ordenar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78a0d7cad7b423dba2c6000b1302b9a0\",\n \"score\": \"0.5705727\",\n \"text\": \"@Override\\n\\tprotected void ganharExp() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"162a468b891a508701c52265588e91b6\",\n \"score\": \"0.5699155\",\n \"text\": \"@Override\\r\\n public void init() {\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39132efb6b42f8ec625d96ff6226d80b\",\n \"score\": \"0.56991017\",\n \"text\": \"@Override\\n\\tprotected void lazyLoad() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6fba68e503150b58bb627390fe723ce3\",\n \"score\": \"0.56942755\",\n \"text\": \"@Override\\r\\n\\tpublic void servir() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9e8299e02e2afca4b347ab5022949b84\",\n \"score\": \"0.56936175\",\n \"text\": \"@Override\\n public void rest() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ddd8d8a26991b887b8f19171d700e1d3\",\n \"score\": \"0.56922704\",\n \"text\": \"@Override\\n\\tpublic void proveerdatos() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e21063ae833db842230f1d37006a0359\",\n \"score\": \"0.56854326\",\n \"text\": \"@Override public int getAtaque(){\\n\\n return 0;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6c641fa6ba40a5b14cc33cb07aa0671\",\n \"score\": \"0.5669649\",\n \"text\": \"@Override\\n\\tprotected void initData() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a0b89d2fbd83aefeb636ae04ad1fcd91\",\n \"score\": \"0.56631064\",\n \"text\": \"public void init(){\\n\\t //TODO Auto-generated method stub\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2aed4e4b25907c376dc30c486b4f975f\",\n \"score\": \"0.5657416\",\n \"text\": \"public final void mo73469b() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990990,"cells":{"query_id":{"kind":"string","value":"16f29c3a109a772cdb518f25fb6d5471"},"query":{"kind":"string","value":"get the blog URL of the user asking the question"},"positive_passages":{"kind":"list like","value":[{"docid":"8e7163e72af23681dae872c894f224c5","score":"0.5986555","text":"public String getAskingUrl() {\n return asking_url;\n }","title":""}],"string":"[\n {\n \"docid\": \"8e7163e72af23681dae872c894f224c5\",\n \"score\": \"0.5986555\",\n \"text\": \"public String getAskingUrl() {\\n return asking_url;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"250599e0496327e33f9ef5caf574b3ef","score":"0.6594258","text":"public String getUri() {\r\n Blog blog = (Blog)getModel().get(Constants.BLOG_KEY);\r\n CommentConfirmationStrategy strategy = blog.getCommentConfirmationStrategy();\r\n return strategy.getUri();\r\n }","title":""},{"docid":"e9b42b2bb09437607d03d88a9ec7e4bc","score":"0.6302156","text":"public String getMicroblogurl() {\n return microblogurl;\n }","title":""},{"docid":"7fcc615565c023433f05a0257a2ff8bc","score":"0.5965247","text":"public String getFeedUrl();","title":""},{"docid":"b2158e91412059fe027ad00c0033d7dd","score":"0.5921649","text":"public String getWebsiteURL();","title":""},{"docid":"ff45907b1f25af50498291430651d26c","score":"0.5866663","text":"String getRhythmyxUrl();","title":""},{"docid":"083719d1b72ad102aa89c5241fc83c30","score":"0.5808258","text":"public static String getLink() {\n Scanner myObj = new Scanner(System.in);\n String website = \"github.com\";\n String currLink = \"\";\n do {\n System.out.print(\"Please enter a github link : \");\n while (!myObj.hasNext()) {\n System.out.println(\"Wrong choice! Please type a valid phrase!\");\n System.out.println(\"Please enter a github link?\");\n myObj.next();\n }\n currLink = myObj.next();\n String[] listCurrLink = currLink.split(\"/\");\n if(listCurrLink.length >= 5 && listCurrLink[2].contentEquals(website)) {\n currLink = buildLink(currLink, website);\n } else {\n currLink = \"\";\n System.out.println(\"Please enter a valid github website!\");\n }\n } while (currLink.contentEquals(\"\"));\n return currLink;\n }","title":""},{"docid":"31a94ec62fa80242ee52cb192c45bc9c","score":"0.57379377","text":"public String getOriginalURL();","title":""},{"docid":"f930939362267cd770b81dbd41014427","score":"0.5695169","text":"String getURL();","title":""},{"docid":"ded642f60875af4ce682a429932f0dfd","score":"0.5629481","text":"public String getNewUrl(){\n String url;\n url = InputClass.readLine(\"Please input the URL: \" + IoUtils.EOL);\n return url;\n }","title":""},{"docid":"ca8553f7d1e13fa7dda03a7c11207c11","score":"0.56288177","text":"public String getURL() {\n\t\tif (mURL.startsWith(\"http://\"))\n\t\t\treturn mURL;\n\t\t\n\t\treturn \"http://news.ycombinator.com/\".concat(mURL);\n\t}","title":""},{"docid":"bfae6b4591e7ba828855609c3c205ad3","score":"0.5624457","text":"URL getURL();","title":""},{"docid":"bfae6b4591e7ba828855609c3c205ad3","score":"0.5624457","text":"URL getURL();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.5603729","text":"java.lang.String getUrl();","title":""},{"docid":"d1b00ebc67a878f265ac4a99b2581b3e","score":"0.56029123","text":"java.lang.String getUrl();","title":""},{"docid":"a8511dfdb9f94902a893824b76af7bb1","score":"0.5573467","text":"public String getUrl() {\n return getString(\"url\");\n }","title":""},{"docid":"12e4e1615f11a2ae23cc5fd9faf73d3d","score":"0.5561369","text":"java.lang.String getLink();","title":""},{"docid":"12e4e1615f11a2ae23cc5fd9faf73d3d","score":"0.5561369","text":"java.lang.String getLink();","title":""},{"docid":"36c77398e92c6952aaa5bab1cdc65de8","score":"0.55248874","text":"@objid (\"9ab0cfb2-8b4c-4d2b-a15c-c47e9eb65d57\")\n String getHelpUrl();","title":""},{"docid":"896898749b06f4e812a5061a2a163719","score":"0.55119807","text":"public String getURL();","title":""},{"docid":"cb323d80a4cd85c5c5daa0343b4659b8","score":"0.54990107","text":"java.lang.String getReddit();","title":""},{"docid":"2562088704a43dac224e6793acbb5003","score":"0.5483156","text":"String getUrl();","title":""},{"docid":"2562088704a43dac224e6793acbb5003","score":"0.5483156","text":"String getUrl();","title":""},{"docid":"2562088704a43dac224e6793acbb5003","score":"0.5483156","text":"String getUrl();","title":""},{"docid":"2562088704a43dac224e6793acbb5003","score":"0.5483156","text":"String getUrl();","title":""},{"docid":"2562088704a43dac224e6793acbb5003","score":"0.5483156","text":"String getUrl();","title":""},{"docid":"2562088704a43dac224e6793acbb5003","score":"0.5483156","text":"String getUrl();","title":""},{"docid":"2562088704a43dac224e6793acbb5003","score":"0.5483156","text":"String getUrl();","title":""},{"docid":"2562088704a43dac224e6793acbb5003","score":"0.5483156","text":"String getUrl();","title":""},{"docid":"2562088704a43dac224e6793acbb5003","score":"0.5483156","text":"String getUrl();","title":""},{"docid":"64609e6849b5c63cde8a0ff1e74fcbbb","score":"0.5468028","text":"java.lang.String getRedirecturl();","title":""},{"docid":"243464b1a74f07acdf428e0ae83a5e6c","score":"0.5460085","text":"protected String getURL(String query) {\n String start = \"http://twitter.com/search?q=\";\n String inter = query.replace(\" \", \"%20\");\n String end = \"&src=typd\";\n\n return (start+inter+end);\n }","title":""},{"docid":"155c57e6129c1578593bec0a009449f6","score":"0.54540557","text":"public java.lang.String getUrl();","title":""},{"docid":"491976df895e0036a9d969b5df9758fe","score":"0.54516906","text":"public @Nullable String getWebsiteUrl();","title":""},{"docid":"3ec3b28516435e3ccdcd03706e6bb667","score":"0.5407348","text":"public String getWebsite() {\n\t\treturn link.split(\"/\")[2];\n\t}","title":""},{"docid":"a2eb749a83eec9052460f19f1e7aaed8","score":"0.539052","text":"@Override\n protected String renderUrl() {\n String link = null;\n try {\n String finderProperty = isHome\n ? PropertiesFactory.getProperty(name.concat(HomeProperties.ARTICLE_ITEM.toString()))\n : PropertiesFactory.getProperty(name.concat(RubricProperties.ARTICLE_ITEM.toString()));\n link = element.selectFirst(finderProperty).attr(\"href\");\n if (!link.contains(\"http\"))\n link = PropertiesFactory.getProperty(name.concat(HomeProperties.URL.toString())).concat(link);\n } catch (Exception e) {\n e.printStackTrace();\n }\n return link;\n }","title":""},{"docid":"c574f5ffdf320dc0a27c4e3d00cbf0a9","score":"0.53850836","text":"String getSuggestUri();","title":""},{"docid":"e2e963110ae760bb5c83e1542c9d4fb4","score":"0.53811544","text":"public String getLink();","title":""},{"docid":"05bb73e988bf2d45cbf305c604e261b3","score":"0.5379792","text":"public String getDiscussionURL() {\n\t\treturn \"http://news.ycombinator.com/item?id=\".concat(getDiscussionID());\n\t}","title":""},{"docid":"0aa809b65841016f17f64b85fcd3b0e0","score":"0.5371513","text":"protected String getUrl() {\r\n\t\treturn url;\r\n\t}","title":""},{"docid":"5c5ec87237fddca344b212292bb94243","score":"0.5340077","text":"public String getCommentPermalink() { \n return this.commentPermalink;\n }","title":""},{"docid":"24fff4af50b3246e5f93955b73088610","score":"0.53369105","text":"public String getOriginalFullURL();","title":""},{"docid":"81360800cf22dbbc2ee0f02dcba9ec40","score":"0.5332772","text":"java.lang.String getHomePageUrl();","title":""},{"docid":"23bc838cad41ea7d7da6847aac2219f1","score":"0.53166425","text":"public String getUrl();","title":""},{"docid":"23bc838cad41ea7d7da6847aac2219f1","score":"0.53166425","text":"public String getUrl();","title":""},{"docid":"ca2d9bd515b6cd15b7ce4434c4e43b55","score":"0.53123844","text":"public String CurrentURL();","title":""},{"docid":"b89e6e6eb9123623a16f69c51c4951f4","score":"0.5310247","text":"java.lang.String getDescriptionUrl();","title":""},{"docid":"c73cd75914f2989995a6671fdb690d90","score":"0.52958494","text":"protected String getBookmarkSite(String bookmarkName)\n {\n BookmarkData bookmark = (BookmarkData) getUserBookmarks().get(bookmarkName);\n return bookmark == null ? null : bookmark.getUrl();\n }","title":""},{"docid":"c04a681a42cf60cb7026e9aee2d826b0","score":"0.5292508","text":"public String getQueriedURL(){\n\t\treturn this.queriedURL ;\n\t}","title":""},{"docid":"3d037e8442d197d22457ede6b055de8e","score":"0.52856493","text":"public String getHomePageURL(){\n\t\tString url = this.propertyUtil.getProperty(\"hu_url\");\n\t\treturn url;\n\t}","title":""},{"docid":"585508e6ce58cfcf89b6f57607476cf6","score":"0.52804756","text":"@Schema(example = \"link_clicked\", description = \"The original link that was sent in the message.\")\n public String getUrl() {\n return url;\n }","title":""},{"docid":"43765f80e95f513e91a1d36bf3a932f1","score":"0.52789277","text":"@AutoEscape\n\tpublic String getWebsiteURL(Locale locale);","title":""},{"docid":"4d49c2591edd322a4db78f68dc60a66c","score":"0.52741575","text":"public java.lang.String getLink();","title":""},{"docid":"e6fe8bb1b39642db952322abd8e2cb0a","score":"0.52698827","text":"public String getDdUrlToHere() {\n\t\treturn ddUrlToHere;\n\t}","title":""},{"docid":"2d7b9f4ec5660d3d84a4499f685b91e4","score":"0.5261909","text":"java.lang.String getLinkedin();","title":""},{"docid":"3be100fd5b62e69be1525b0848259e6c","score":"0.5257073","text":"String getCurrentURL();","title":""},{"docid":"3be100fd5b62e69be1525b0848259e6c","score":"0.5257073","text":"String getCurrentURL();","title":""},{"docid":"8c2db91f1359f7f901ff9645e81ee0e0","score":"0.5250562","text":"public String getURL() {\n\t\treturn getUrl();\n\t}","title":""},{"docid":"9de609e2645b8a9c95d6b47d345b623b","score":"0.52456534","text":"String getHref();","title":""},{"docid":"9de609e2645b8a9c95d6b47d345b623b","score":"0.52456534","text":"String getHref();","title":""},{"docid":"b6d95463267b5afa60355057275ede93","score":"0.52405113","text":"String getBookingsURL();","title":""},{"docid":"563bb414785151594bf05f76567d5519","score":"0.52393943","text":"public String getUrl() { return url; }","title":""},{"docid":"fbc831313732ff66965b011012c65acc","score":"0.52338636","text":"public java.lang.String getUrl() {\n java.lang.Object ref = \"\";\n if (entryCase_ == 6) {\n ref = entry_;\n }\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n if (entryCase_ == 6) {\n entry_ = s;\n }\n return s;\n }\n }","title":""},{"docid":"0c7a0d87f6eca2ea71421e06d13ff93f","score":"0.5226608","text":"public void setAskingUrl(String askingUrl) {\n this.asking_url = askingUrl;\n }","title":""},{"docid":"65aed9a2b651f4033c3e0c6bd326e274","score":"0.52177435","text":"public java.lang.String getHyperlinkTarget() ;","title":""},{"docid":"b807d2947fc9fcc3288c6d5dc3fceeea","score":"0.5216723","text":"@java.lang.Override\n public java.lang.String getUrl() {\n java.lang.Object ref = \"\";\n if (entryCase_ == 6) {\n ref = entry_;\n }\n if (!(ref instanceof java.lang.String)) {\n com.google.protobuf.ByteString bs =\n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n if (entryCase_ == 6) {\n entry_ = s;\n }\n return s;\n } else {\n return (java.lang.String) ref;\n }\n }","title":""},{"docid":"6d84a48797475d2bc2aa1b0c261cb41a","score":"0.52157086","text":"ContentLink inputsLink();","title":""},{"docid":"8ae85c93930f71bb2ffe1491959e9efb","score":"0.5211342","text":"@AutoEscape\n\tpublic String getUrl();","title":""},{"docid":"2e0e83cc4f736d8ec0fc8999d5aff86a","score":"0.519805","text":"public String getPosterLink() {\n return mPosterLink;\n }","title":""},{"docid":"5b02e79b1b29a5173d91cce339499616","score":"0.5186847","text":"@Override\n\tpublic String getUrl() {\n\t\treturn this.url;\n\t}","title":""},{"docid":"305e93543dfe5a0cae1832eb47fa43a9","score":"0.5169151","text":"public String getUrl() {\n return mHttpUrlRequest.getURL().toString();\n }","title":""},{"docid":"94135038e8b8743183cd7ae47810a532","score":"0.51571876","text":"String linkedTo();","title":""},{"docid":"cdad83738eed9092bb1c40465da292e2","score":"0.5152366","text":"public static String getUrlColumnQuestion() {\n\t\treturn URL_COLUMN_QUESTION;\n\t}","title":""},{"docid":"e80a6505c5e89011812b2a9558f205ea","score":"0.51466674","text":"private static String getUserInput() throws IOException {\n JFrame userFrame = new JFrame();\n String URL= JOptionPane.showInputDialog(userFrame, \"Enter a YouTube URL for classification:\");\n return URL;\n }","title":""},{"docid":"0ae437da02ba38a1ec7a6ea474a4c93d","score":"0.51382816","text":"@ApiModelProperty(value = \"A link to more information about this person\")\n\n\n public String getUrl() {\n return url;\n }","title":""},{"docid":"ccb1fd3c534b365423dc47253a7bee25","score":"0.51354855","text":"java.lang.String getClickThroughUrl();","title":""},{"docid":"438d0dbd7d562dacd6fb3d5cd5e4cdd5","score":"0.5132973","text":"public String getUrl() {\n\t\t return url;\n\t}","title":""},{"docid":"a68bfd6c9ed0fe3d406715107799bcc8","score":"0.5124774","text":"public final String getUrl() {\r\n return url;\r\n }","title":""},{"docid":"feff654c5636afa4d0ab0b6d0997d365","score":"0.5124266","text":"public String getURL()\n {\n return url.toString();\n }","title":""},{"docid":"fe49e31351b9a5230ad854708e90ce67","score":"0.51238376","text":"String getStandardUrl();","title":""},{"docid":"12bd7bfc9df312ca793876943331b342","score":"0.5123504","text":"public abstract String getCurrentPageUrl();","title":""},{"docid":"e997bd3f548e04354e3c20289a7cfa88","score":"0.51230085","text":"public String getDdUrlFromHere() {\n\t\treturn ddUrlFromHere;\n\t}","title":""},{"docid":"9aa395775dfb63727245b65e738a3d47","score":"0.5113598","text":"public String getHomepageLink() {\n\t\t\treturn URL;\n\t\t}","title":""},{"docid":"6766fca54f56e045d2baf15e56108422","score":"0.50979763","text":"java.lang.String getInputUri();","title":""},{"docid":"6766fca54f56e045d2baf15e56108422","score":"0.50979763","text":"java.lang.String getInputUri();","title":""},{"docid":"99f9c09a9c6d3222dd0b9757cf3e9fc8","score":"0.5096956","text":"public abstract String getUrl();","title":""},{"docid":"99f9c09a9c6d3222dd0b9757cf3e9fc8","score":"0.5096956","text":"public abstract String getUrl();","title":""},{"docid":"99f9c09a9c6d3222dd0b9757cf3e9fc8","score":"0.5096956","text":"public abstract String getUrl();","title":""},{"docid":"2476e1cfc5831bc2602b62d23174e2de","score":"0.5079683","text":"public String getContentLink() {\n String str;\n if (this.crArticle == null || (str = this.mSectionId) == null) {\n return OldConstants.CR_WEB_URL;\n }\n if (str.equalsIgnoreCase(\"DDx\")) {\n str = \"differential\";\n }\n return OldConstants.CR_WEB_URL + this.crArticle.getArticleId() + \"-\" + str;\n }","title":""},{"docid":"71773de0485f32b44d24bff5f56d6dd8","score":"0.50691235","text":"public String getUrl() {\n\t\treturn url.toString();\n\t}","title":""},{"docid":"f5e55b1fe7248a110fef8c5097df8d92","score":"0.50685275","text":"public String getAlternateURL() {\n return this.alternateURL;\n }","title":""}],"string":"[\n {\n \"docid\": \"250599e0496327e33f9ef5caf574b3ef\",\n \"score\": \"0.6594258\",\n \"text\": \"public String getUri() {\\r\\n Blog blog = (Blog)getModel().get(Constants.BLOG_KEY);\\r\\n CommentConfirmationStrategy strategy = blog.getCommentConfirmationStrategy();\\r\\n return strategy.getUri();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e9b42b2bb09437607d03d88a9ec7e4bc\",\n \"score\": \"0.6302156\",\n \"text\": \"public String getMicroblogurl() {\\n return microblogurl;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7fcc615565c023433f05a0257a2ff8bc\",\n \"score\": \"0.5965247\",\n \"text\": \"public String getFeedUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b2158e91412059fe027ad00c0033d7dd\",\n \"score\": \"0.5921649\",\n \"text\": \"public String getWebsiteURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff45907b1f25af50498291430651d26c\",\n \"score\": \"0.5866663\",\n \"text\": \"String getRhythmyxUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"083719d1b72ad102aa89c5241fc83c30\",\n \"score\": \"0.5808258\",\n \"text\": \"public static String getLink() {\\n Scanner myObj = new Scanner(System.in);\\n String website = \\\"github.com\\\";\\n String currLink = \\\"\\\";\\n do {\\n System.out.print(\\\"Please enter a github link : \\\");\\n while (!myObj.hasNext()) {\\n System.out.println(\\\"Wrong choice! Please type a valid phrase!\\\");\\n System.out.println(\\\"Please enter a github link?\\\");\\n myObj.next();\\n }\\n currLink = myObj.next();\\n String[] listCurrLink = currLink.split(\\\"/\\\");\\n if(listCurrLink.length >= 5 && listCurrLink[2].contentEquals(website)) {\\n currLink = buildLink(currLink, website);\\n } else {\\n currLink = \\\"\\\";\\n System.out.println(\\\"Please enter a valid github website!\\\");\\n }\\n } while (currLink.contentEquals(\\\"\\\"));\\n return currLink;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"31a94ec62fa80242ee52cb192c45bc9c\",\n \"score\": \"0.57379377\",\n \"text\": \"public String getOriginalURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f930939362267cd770b81dbd41014427\",\n \"score\": \"0.5695169\",\n \"text\": \"String getURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ded642f60875af4ce682a429932f0dfd\",\n \"score\": \"0.5629481\",\n \"text\": \"public String getNewUrl(){\\n String url;\\n url = InputClass.readLine(\\\"Please input the URL: \\\" + IoUtils.EOL);\\n return url;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ca8553f7d1e13fa7dda03a7c11207c11\",\n \"score\": \"0.56288177\",\n \"text\": \"public String getURL() {\\n\\t\\tif (mURL.startsWith(\\\"http://\\\"))\\n\\t\\t\\treturn mURL;\\n\\t\\t\\n\\t\\treturn \\\"http://news.ycombinator.com/\\\".concat(mURL);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bfae6b4591e7ba828855609c3c205ad3\",\n \"score\": \"0.5624457\",\n \"text\": \"URL getURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bfae6b4591e7ba828855609c3c205ad3\",\n \"score\": \"0.5624457\",\n \"text\": \"URL getURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.5603729\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1b00ebc67a878f265ac4a99b2581b3e\",\n \"score\": \"0.56029123\",\n \"text\": \"java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a8511dfdb9f94902a893824b76af7bb1\",\n \"score\": \"0.5573467\",\n \"text\": \"public String getUrl() {\\n return getString(\\\"url\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12e4e1615f11a2ae23cc5fd9faf73d3d\",\n \"score\": \"0.5561369\",\n \"text\": \"java.lang.String getLink();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12e4e1615f11a2ae23cc5fd9faf73d3d\",\n \"score\": \"0.5561369\",\n \"text\": \"java.lang.String getLink();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"36c77398e92c6952aaa5bab1cdc65de8\",\n \"score\": \"0.55248874\",\n \"text\": \"@objid (\\\"9ab0cfb2-8b4c-4d2b-a15c-c47e9eb65d57\\\")\\n String getHelpUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"896898749b06f4e812a5061a2a163719\",\n \"score\": \"0.55119807\",\n \"text\": \"public String getURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cb323d80a4cd85c5c5daa0343b4659b8\",\n \"score\": \"0.54990107\",\n \"text\": \"java.lang.String getReddit();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2562088704a43dac224e6793acbb5003\",\n \"score\": \"0.5483156\",\n \"text\": \"String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2562088704a43dac224e6793acbb5003\",\n \"score\": \"0.5483156\",\n \"text\": \"String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2562088704a43dac224e6793acbb5003\",\n \"score\": \"0.5483156\",\n \"text\": \"String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2562088704a43dac224e6793acbb5003\",\n \"score\": \"0.5483156\",\n \"text\": \"String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2562088704a43dac224e6793acbb5003\",\n \"score\": \"0.5483156\",\n \"text\": \"String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2562088704a43dac224e6793acbb5003\",\n \"score\": \"0.5483156\",\n \"text\": \"String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2562088704a43dac224e6793acbb5003\",\n \"score\": \"0.5483156\",\n \"text\": \"String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2562088704a43dac224e6793acbb5003\",\n \"score\": \"0.5483156\",\n \"text\": \"String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2562088704a43dac224e6793acbb5003\",\n \"score\": \"0.5483156\",\n \"text\": \"String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"64609e6849b5c63cde8a0ff1e74fcbbb\",\n \"score\": \"0.5468028\",\n \"text\": \"java.lang.String getRedirecturl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"243464b1a74f07acdf428e0ae83a5e6c\",\n \"score\": \"0.5460085\",\n \"text\": \"protected String getURL(String query) {\\n String start = \\\"http://twitter.com/search?q=\\\";\\n String inter = query.replace(\\\" \\\", \\\"%20\\\");\\n String end = \\\"&src=typd\\\";\\n\\n return (start+inter+end);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"155c57e6129c1578593bec0a009449f6\",\n \"score\": \"0.54540557\",\n \"text\": \"public java.lang.String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"491976df895e0036a9d969b5df9758fe\",\n \"score\": \"0.54516906\",\n \"text\": \"public @Nullable String getWebsiteUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3ec3b28516435e3ccdcd03706e6bb667\",\n \"score\": \"0.5407348\",\n \"text\": \"public String getWebsite() {\\n\\t\\treturn link.split(\\\"/\\\")[2];\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2eb749a83eec9052460f19f1e7aaed8\",\n \"score\": \"0.539052\",\n \"text\": \"@Override\\n protected String renderUrl() {\\n String link = null;\\n try {\\n String finderProperty = isHome\\n ? PropertiesFactory.getProperty(name.concat(HomeProperties.ARTICLE_ITEM.toString()))\\n : PropertiesFactory.getProperty(name.concat(RubricProperties.ARTICLE_ITEM.toString()));\\n link = element.selectFirst(finderProperty).attr(\\\"href\\\");\\n if (!link.contains(\\\"http\\\"))\\n link = PropertiesFactory.getProperty(name.concat(HomeProperties.URL.toString())).concat(link);\\n } catch (Exception e) {\\n e.printStackTrace();\\n }\\n return link;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c574f5ffdf320dc0a27c4e3d00cbf0a9\",\n \"score\": \"0.53850836\",\n \"text\": \"String getSuggestUri();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e2e963110ae760bb5c83e1542c9d4fb4\",\n \"score\": \"0.53811544\",\n \"text\": \"public String getLink();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"05bb73e988bf2d45cbf305c604e261b3\",\n \"score\": \"0.5379792\",\n \"text\": \"public String getDiscussionURL() {\\n\\t\\treturn \\\"http://news.ycombinator.com/item?id=\\\".concat(getDiscussionID());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0aa809b65841016f17f64b85fcd3b0e0\",\n \"score\": \"0.5371513\",\n \"text\": \"protected String getUrl() {\\r\\n\\t\\treturn url;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5c5ec87237fddca344b212292bb94243\",\n \"score\": \"0.5340077\",\n \"text\": \"public String getCommentPermalink() { \\n return this.commentPermalink;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"24fff4af50b3246e5f93955b73088610\",\n \"score\": \"0.53369105\",\n \"text\": \"public String getOriginalFullURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"81360800cf22dbbc2ee0f02dcba9ec40\",\n \"score\": \"0.5332772\",\n \"text\": \"java.lang.String getHomePageUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23bc838cad41ea7d7da6847aac2219f1\",\n \"score\": \"0.53166425\",\n \"text\": \"public String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23bc838cad41ea7d7da6847aac2219f1\",\n \"score\": \"0.53166425\",\n \"text\": \"public String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ca2d9bd515b6cd15b7ce4434c4e43b55\",\n \"score\": \"0.53123844\",\n \"text\": \"public String CurrentURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b89e6e6eb9123623a16f69c51c4951f4\",\n \"score\": \"0.5310247\",\n \"text\": \"java.lang.String getDescriptionUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c73cd75914f2989995a6671fdb690d90\",\n \"score\": \"0.52958494\",\n \"text\": \"protected String getBookmarkSite(String bookmarkName)\\n {\\n BookmarkData bookmark = (BookmarkData) getUserBookmarks().get(bookmarkName);\\n return bookmark == null ? null : bookmark.getUrl();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c04a681a42cf60cb7026e9aee2d826b0\",\n \"score\": \"0.5292508\",\n \"text\": \"public String getQueriedURL(){\\n\\t\\treturn this.queriedURL ;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d037e8442d197d22457ede6b055de8e\",\n \"score\": \"0.52856493\",\n \"text\": \"public String getHomePageURL(){\\n\\t\\tString url = this.propertyUtil.getProperty(\\\"hu_url\\\");\\n\\t\\treturn url;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"585508e6ce58cfcf89b6f57607476cf6\",\n \"score\": \"0.52804756\",\n \"text\": \"@Schema(example = \\\"link_clicked\\\", description = \\\"The original link that was sent in the message.\\\")\\n public String getUrl() {\\n return url;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43765f80e95f513e91a1d36bf3a932f1\",\n \"score\": \"0.52789277\",\n \"text\": \"@AutoEscape\\n\\tpublic String getWebsiteURL(Locale locale);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4d49c2591edd322a4db78f68dc60a66c\",\n \"score\": \"0.52741575\",\n \"text\": \"public java.lang.String getLink();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e6fe8bb1b39642db952322abd8e2cb0a\",\n \"score\": \"0.52698827\",\n \"text\": \"public String getDdUrlToHere() {\\n\\t\\treturn ddUrlToHere;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d7b9f4ec5660d3d84a4499f685b91e4\",\n \"score\": \"0.5261909\",\n \"text\": \"java.lang.String getLinkedin();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3be100fd5b62e69be1525b0848259e6c\",\n \"score\": \"0.5257073\",\n \"text\": \"String getCurrentURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3be100fd5b62e69be1525b0848259e6c\",\n \"score\": \"0.5257073\",\n \"text\": \"String getCurrentURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8c2db91f1359f7f901ff9645e81ee0e0\",\n \"score\": \"0.5250562\",\n \"text\": \"public String getURL() {\\n\\t\\treturn getUrl();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9de609e2645b8a9c95d6b47d345b623b\",\n \"score\": \"0.52456534\",\n \"text\": \"String getHref();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9de609e2645b8a9c95d6b47d345b623b\",\n \"score\": \"0.52456534\",\n \"text\": \"String getHref();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6d95463267b5afa60355057275ede93\",\n \"score\": \"0.52405113\",\n \"text\": \"String getBookingsURL();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"563bb414785151594bf05f76567d5519\",\n \"score\": \"0.52393943\",\n \"text\": \"public String getUrl() { return url; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbc831313732ff66965b011012c65acc\",\n \"score\": \"0.52338636\",\n \"text\": \"public java.lang.String getUrl() {\\n java.lang.Object ref = \\\"\\\";\\n if (entryCase_ == 6) {\\n ref = entry_;\\n }\\n if (ref instanceof java.lang.String) {\\n return (java.lang.String) ref;\\n } else {\\n com.google.protobuf.ByteString bs = \\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n if (entryCase_ == 6) {\\n entry_ = s;\\n }\\n return s;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0c7a0d87f6eca2ea71421e06d13ff93f\",\n \"score\": \"0.5226608\",\n \"text\": \"public void setAskingUrl(String askingUrl) {\\n this.asking_url = askingUrl;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65aed9a2b651f4033c3e0c6bd326e274\",\n \"score\": \"0.52177435\",\n \"text\": \"public java.lang.String getHyperlinkTarget() ;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b807d2947fc9fcc3288c6d5dc3fceeea\",\n \"score\": \"0.5216723\",\n \"text\": \"@java.lang.Override\\n public java.lang.String getUrl() {\\n java.lang.Object ref = \\\"\\\";\\n if (entryCase_ == 6) {\\n ref = entry_;\\n }\\n if (!(ref instanceof java.lang.String)) {\\n com.google.protobuf.ByteString bs =\\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n if (entryCase_ == 6) {\\n entry_ = s;\\n }\\n return s;\\n } else {\\n return (java.lang.String) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d84a48797475d2bc2aa1b0c261cb41a\",\n \"score\": \"0.52157086\",\n \"text\": \"ContentLink inputsLink();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ae85c93930f71bb2ffe1491959e9efb\",\n \"score\": \"0.5211342\",\n \"text\": \"@AutoEscape\\n\\tpublic String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e0e83cc4f736d8ec0fc8999d5aff86a\",\n \"score\": \"0.519805\",\n \"text\": \"public String getPosterLink() {\\n return mPosterLink;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5b02e79b1b29a5173d91cce339499616\",\n \"score\": \"0.5186847\",\n \"text\": \"@Override\\n\\tpublic String getUrl() {\\n\\t\\treturn this.url;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"305e93543dfe5a0cae1832eb47fa43a9\",\n \"score\": \"0.5169151\",\n \"text\": \"public String getUrl() {\\n return mHttpUrlRequest.getURL().toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"94135038e8b8743183cd7ae47810a532\",\n \"score\": \"0.51571876\",\n \"text\": \"String linkedTo();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cdad83738eed9092bb1c40465da292e2\",\n \"score\": \"0.5152366\",\n \"text\": \"public static String getUrlColumnQuestion() {\\n\\t\\treturn URL_COLUMN_QUESTION;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e80a6505c5e89011812b2a9558f205ea\",\n \"score\": \"0.51466674\",\n \"text\": \"private static String getUserInput() throws IOException {\\n JFrame userFrame = new JFrame();\\n String URL= JOptionPane.showInputDialog(userFrame, \\\"Enter a YouTube URL for classification:\\\");\\n return URL;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0ae437da02ba38a1ec7a6ea474a4c93d\",\n \"score\": \"0.51382816\",\n \"text\": \"@ApiModelProperty(value = \\\"A link to more information about this person\\\")\\n\\n\\n public String getUrl() {\\n return url;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ccb1fd3c534b365423dc47253a7bee25\",\n \"score\": \"0.51354855\",\n \"text\": \"java.lang.String getClickThroughUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"438d0dbd7d562dacd6fb3d5cd5e4cdd5\",\n \"score\": \"0.5132973\",\n \"text\": \"public String getUrl() {\\n\\t\\t return url;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a68bfd6c9ed0fe3d406715107799bcc8\",\n \"score\": \"0.5124774\",\n \"text\": \"public final String getUrl() {\\r\\n return url;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"feff654c5636afa4d0ab0b6d0997d365\",\n \"score\": \"0.5124266\",\n \"text\": \"public String getURL()\\n {\\n return url.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fe49e31351b9a5230ad854708e90ce67\",\n \"score\": \"0.51238376\",\n \"text\": \"String getStandardUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12bd7bfc9df312ca793876943331b342\",\n \"score\": \"0.5123504\",\n \"text\": \"public abstract String getCurrentPageUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e997bd3f548e04354e3c20289a7cfa88\",\n \"score\": \"0.51230085\",\n \"text\": \"public String getDdUrlFromHere() {\\n\\t\\treturn ddUrlFromHere;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9aa395775dfb63727245b65e738a3d47\",\n \"score\": \"0.5113598\",\n \"text\": \"public String getHomepageLink() {\\n\\t\\t\\treturn URL;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6766fca54f56e045d2baf15e56108422\",\n \"score\": \"0.50979763\",\n \"text\": \"java.lang.String getInputUri();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6766fca54f56e045d2baf15e56108422\",\n \"score\": \"0.50979763\",\n \"text\": \"java.lang.String getInputUri();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99f9c09a9c6d3222dd0b9757cf3e9fc8\",\n \"score\": \"0.5096956\",\n \"text\": \"public abstract String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99f9c09a9c6d3222dd0b9757cf3e9fc8\",\n \"score\": \"0.5096956\",\n \"text\": \"public abstract String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99f9c09a9c6d3222dd0b9757cf3e9fc8\",\n \"score\": \"0.5096956\",\n \"text\": \"public abstract String getUrl();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2476e1cfc5831bc2602b62d23174e2de\",\n \"score\": \"0.5079683\",\n \"text\": \"public String getContentLink() {\\n String str;\\n if (this.crArticle == null || (str = this.mSectionId) == null) {\\n return OldConstants.CR_WEB_URL;\\n }\\n if (str.equalsIgnoreCase(\\\"DDx\\\")) {\\n str = \\\"differential\\\";\\n }\\n return OldConstants.CR_WEB_URL + this.crArticle.getArticleId() + \\\"-\\\" + str;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71773de0485f32b44d24bff5f56d6dd8\",\n \"score\": \"0.50691235\",\n \"text\": \"public String getUrl() {\\n\\t\\treturn url.toString();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f5e55b1fe7248a110fef8c5097df8d92\",\n \"score\": \"0.50685275\",\n \"text\": \"public String getAlternateURL() {\\n return this.alternateURL;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990991,"cells":{"query_id":{"kind":"string","value":"520054e934ff820292cbb9560be264d8"},"query":{"kind":"string","value":"Get DER coded length Values between 0 and 127 are encoded in one byte Values between 128 and 255 are encoded in two bytes Values between 256 and 65535 are encoded in three bytes Values between 65536 and 2^24 1 are encoded in four bytes Values between 2^24 and 2^32 1 are encoded in five byte For value >= 128 the first byte encoded the number of trailing bytes plus '80'"},"positive_passages":{"kind":"list like","value":[{"docid":"ff8da10c7a23368278dafd9c300129a2","score":"0.78969115","text":"public int getDERLength() throws TLVEncodingException {\n\t\tint length;\n\t\tint i = 1;\n\n\t\tif (cursor >= limit)\n\t\t\tthrow new TLVEncodingException(\"End of buffer\");\n\n\t\tif ((buffer[cursor] & 0x80) == 0x80) {\n\t\t\ti = buffer[cursor] & 0x07;\n\t\t\tcursor++;\n\t\t\tif (i == 0) {\n\t\t\t\treturn -1;\t\t// Variable length BER encoding\n\t\t\t}\n\t\t}\n\n\t\tif (i > 4)\n\t\t\tthrow new TLVEncodingException(\"More than 4 bytes in length field\");\n\n\t\tif (cursor + i > limit)\n\t\t\tthrow new TLVEncodingException(\"Invalid DER length field\");\n\n\t\tlength = 0;\n\t\tfor (; i > 0; i--) {\n\t\t\tlength = (length << 8) | (buffer[cursor++] & 0xFF);\n\t\t}\n\n\t\treturn length;\n\t}","title":""}],"string":"[\n {\n \"docid\": \"ff8da10c7a23368278dafd9c300129a2\",\n \"score\": \"0.78969115\",\n \"text\": \"public int getDERLength() throws TLVEncodingException {\\n\\t\\tint length;\\n\\t\\tint i = 1;\\n\\n\\t\\tif (cursor >= limit)\\n\\t\\t\\tthrow new TLVEncodingException(\\\"End of buffer\\\");\\n\\n\\t\\tif ((buffer[cursor] & 0x80) == 0x80) {\\n\\t\\t\\ti = buffer[cursor] & 0x07;\\n\\t\\t\\tcursor++;\\n\\t\\t\\tif (i == 0) {\\n\\t\\t\\t\\treturn -1;\\t\\t// Variable length BER encoding\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (i > 4)\\n\\t\\t\\tthrow new TLVEncodingException(\\\"More than 4 bytes in length field\\\");\\n\\n\\t\\tif (cursor + i > limit)\\n\\t\\t\\tthrow new TLVEncodingException(\\\"Invalid DER length field\\\");\\n\\n\\t\\tlength = 0;\\n\\t\\tfor (; i > 0; i--) {\\n\\t\\t\\tlength = (length << 8) | (buffer[cursor++] & 0xFF);\\n\\t\\t}\\n\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"3901325a5ec34bad3026f3ef7d3e662e","score":"0.69494796","text":"private int getLength() throws IOException {\n\n int i = in.read();\n if (i == -1) {\n throw new IOException(\"Invalid DER: length missing\");\n }\n\n // A single byte short length\n if ((i & ~0x7F) == 0) {\n return i;\n }\n\n int num = i & 0x7F;\n\n // We can't handle length longer than 4 bytes\n if (i >= 0xFF || num > 4) {\n throw new IOException(\"Invalid DER: length field too big (\"\n + i + \")\");\n }\n\n byte[] bytes = new byte[num];\n int n = in.read(bytes);\n if (n < num) {\n throw new IOException(\"Invalid DER: length too short\");\n }\n\n return new BigInteger(1, bytes).intValue();\n }","title":""},{"docid":"120866b3cdd094167527f69358e3c2e3","score":"0.6633196","text":"@Override\n\tpublic int getByteLength() {\n\t\treturn Integer.SIZE / 8;\n\t}","title":""},{"docid":"cfc798ad65fd669b244da49c97647eb6","score":"0.6540695","text":"public int getTotalByteLength();","title":""},{"docid":"b70e715f206f301ddc1f55115d5aebdc","score":"0.6529852","text":"public int getLength() {\r\n\t\tint length = 0;\r\n\t\ttry {\r\n\t\t\tlength = this.encode().length;\r\n\t\t} catch (SpeedyException e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\t\r\n\t\treturn length;\r\n\t}","title":""},{"docid":"ba1c804fffe3a904f8ae29443bedeb95","score":"0.6317867","text":"public static int getLength() {\n return Byte.SIZE + Integer.SIZE;\n }","title":""},{"docid":"890a4b3ed56204a1881155b69af5a5dd","score":"0.6233337","text":"static int getDNSPacketLength(byte[] buffer) { // default buffer[x] is 8 bits\n\t\t\n\t\tint len = 0; //stop at non printable.. excluding hex A LF\n\n\t\tfor(int i=0; i<=64; i++) // loop throug entire \"file stream\" buffer\n\t\t{\t\t\t\n\t\t\t//String encodedbytes = Hex.\n\t\t\t// find CO ;;; C = ith byte into payload.. we want total len\n\t\t\tif(buffer[i] == 109 && buffer[i+1] == 0) // = m in decimal... COM<null><0><1><0><1>\t\n\t\t\t{\n\t\t\t\tlen = i + 6; // o boy..\t\t\t\t\n\t\t\t\tbreak;\t\t\t\n\t\t\t}\t\t\t\n\t\t}\n\t\treturn len;\n\t\t\n\t}","title":""},{"docid":"1fc5be2953c29a257fb00d981bcfe4b7","score":"0.6201652","text":"public String lenDataDec() { return lenDataDec; }","title":""},{"docid":"1fc5be2953c29a257fb00d981bcfe4b7","score":"0.6201652","text":"public String lenDataDec() { return lenDataDec; }","title":""},{"docid":"ea3966ad58598713fb1c671f02b29c65","score":"0.61672837","text":"@Override\n public int computeLength()\n {\n dnBytes = Strings.getBytesUtf8( getName().getName() );\n int dnLength = dnBytes.length;\n\n // The entry\n return 1 + TLV.getNbBytes( dnLength ) + dnLength;\n }","title":""},{"docid":"adcceabffed5271162acf749b7bb5959","score":"0.6161659","text":"@Override\r\n\tpublic int byteLength() {\r\n\t\treturn Math.min(GlobalStringPool.LENGTH_THRESHOLD, value.length() + 1);\r\n\t}","title":""},{"docid":"4782ae27c28d90b0300cf59e56da700b","score":"0.614051","text":"long GetLength()\n {\n \tReferencedLong length = new ReferencedLong();\n ByteArrayScalarTypeConversionLib.ByteArray2Uint(m_Header, 4, length);\n return length.val;\n }","title":""},{"docid":"334209e6b1cf1f6269a45b827069e75c","score":"0.61359155","text":"public long getLength(ExtendedBlock b) throws IOException;","title":""},{"docid":"bb64569ed453bf22d0422328dccccbbf","score":"0.60987943","text":"int getDataLength();","title":""},{"docid":"0e3ba6c2a432bbcdb23796766955d064","score":"0.6095017","text":"public int getByteSize(){\n\t\treturn length;\n\t}","title":""},{"docid":"bd1a29a0aaee0914ed552bc17f76efde","score":"0.60780185","text":"public static int encodedLength(byte[] b, boolean encodingWord) {\n/* 87 */ int len = 0;\n/* 88 */ String specials = encodingWord ? WORD_SPECIALS : TEXT_SPECIALS;\n/* 89 */ for (int i = 0; i < b.length; i++) {\n/* 90 */ int c = b[i] & 0xFF;\n/* 91 */ if (c < 32 || c >= 127 || specials.indexOf(c) >= 0) {\n/* */ \n/* 93 */ len += 3;\n/* */ } else {\n/* 95 */ len++;\n/* */ } \n/* 97 */ } return len;\n/* */ }","title":""},{"docid":"475fd5a9da493c6d040a734f2bc2490f","score":"0.6049221","text":"public Integer getByteLength() {\n return this.byteLength;\n }","title":""},{"docid":"3b15a5c0928b628b19675a182505e729","score":"0.60141367","text":"public int getLength() {\r\n\t\treturn isEpcGlobal ? tdtEpc.getLength() : tdtEpc.getEpcBinaryData().length();\r\n\t}","title":""},{"docid":"0d5b4ef41f05fc045978c24682e4a531","score":"0.60052586","text":"long getLen();","title":""},{"docid":"b658b7fc88cb5077afbf7a66330de37c","score":"0.59983194","text":"public int getValueBitLength() {\n /* TODO: Count last bit used by mask */\n return value.length * 8;\n }","title":""},{"docid":"b047a2d8dcd04c54bb5062a994c18bc8","score":"0.5970535","text":"int getLen();","title":""},{"docid":"4be137e823debe3c76e4ac435a9967a3","score":"0.59668845","text":"public int length() {\n return bytes.length;\n }","title":""},{"docid":"42359652897b50f4332c2e60c0657a81","score":"0.59626406","text":"public int getByteLength()\r\n {\r\n return BYTE_LENGTH;\r\n }","title":""},{"docid":"caf79dfc6dc806776a3adde27a910b03","score":"0.5942804","text":"public long getEncryptedDataLength() { return Util.readLongBE(encryptedDataLength); }","title":""},{"docid":"c855665e4b61fa791edd22d9dc60a8fa","score":"0.5922733","text":"public int getBinaryPattLen(String s){\n return s.length();\n }","title":""},{"docid":"e60e02156d212c8eac61964a647f8a11","score":"0.5918578","text":"private int get_bit_size(long value)\n {\n return Long.toBinaryString(value).length();\n }","title":""},{"docid":"e9c104b2933f57cf8da0e6bc8094209d","score":"0.59115934","text":"public int encodedSize(MemberGuideAttachedInfo cvVar) {\n return ProtoAdapter.STRING.encodedSizeWithTag(1, cvVar.f105808b) + ProtoAdapter.STRING.encodedSizeWithTag(2, cvVar.f105809c) + cvVar.unknownFields().mo132944h();\n }","title":""},{"docid":"0b019a7d04b26516452a3d9c562c276a","score":"0.590873","text":"Integer getLength();","title":""},{"docid":"b41e9a98e7da5ddf196bf3d251034a63","score":"0.5897994","text":"public abstract int getNumBytes();","title":""},{"docid":"a36b9696145e6f6dd1aee3fc67f89652","score":"0.58944535","text":"public long getLength();","title":""},{"docid":"7e8ec7b8a557581983ee98154b1b8f56","score":"0.5894155","text":"public int getSerializedLength();","title":""},{"docid":"f978cebc1d4417b9a26051d8ecf1a41e","score":"0.58703595","text":"public int getDGILength() throws TLVEncodingException {\n\t\tint length;\n\t\tint i = 1;\n\n\t\tif (cursor >= limit)\n\t\t\tthrow new TLVEncodingException(\"End of buffer\");\n\n\t\tif (buffer[cursor] == (byte)0xFF) {\n\t\t\ti = 2;\n\t\t\tcursor++;\n\t\t}\n\n\t\tif (cursor + i > limit)\n\t\t\tthrow new TLVEncodingException(\"Invalid DGI length field\");\n\n\t\tlength = 0;\n\t\tfor (; i > 0; i--) {\n\t\t\tlength = (length << 8) | (buffer[cursor++] & 0xFF);\n\t\t}\n\n\t\treturn length;\n\t}","title":""},{"docid":"91e7929720805f27982b25454a933239","score":"0.58682716","text":"@Test\n public void calculateSize_longByteString() {\n int size = RLP.calculateSize(BytesValue.fromHexString(\"0xB838\"));\n assertEquals(58, size);\n }","title":""},{"docid":"f86dc3a437f54d47aae371fb712ce28c","score":"0.58575535","text":"public static int encodeLength(BerByteArrayOutputStream os, int length) throws IOException {\n\n if (length <= 127) {\n // this is the short form, it is coded differently than the long\n // form for values > 127\n os.write((byte) length);\n return 1;\n }\n else {\n int numLengthBytes = 1;\n\n while (((int) (Math.pow(2, 8 * numLengthBytes) - 1)) < length) {\n numLengthBytes++;\n }\n\n for (int i = 0; i < numLengthBytes; i++) {\n os.write((length >> 8 * i) & 0xff);\n }\n\n os.write(0x80 | numLengthBytes);\n\n return 1 + numLengthBytes;\n }\n\n }","title":""},{"docid":"ee44ef02051f85c805b1e2374bb7c9a5","score":"0.5856185","text":"public final int getLength() {\n\t\treturn value.length;\n\t}","title":""},{"docid":"11b931107fa26a966bfc6e491e29f2ba","score":"0.58497536","text":"public int getCompressedLength() throws MdsException\n\t{\n\t\tresolveNid();\n\t\treturn getNci(nid, ctxTree.getCtx(), NciRLENGTH);\n\t}","title":""},{"docid":"71ebd476923f27ebf3d75939bb9f8a12","score":"0.5848773","text":"public long getKeyLength() {\n return Util.readLongBE(keyLength);\n }","title":""},{"docid":"f5f6d6b6037e348a4c695a9d270e87bf","score":"0.58390355","text":"public Integer lenData() {\n if (this.lenData != null)\n return this.lenData;\n int _tmp = (int) (Long.parseLong(lenDataDec(), 10));\n this.lenData = _tmp;\n return this.lenData;\n }","title":""},{"docid":"f5f6d6b6037e348a4c695a9d270e87bf","score":"0.58390355","text":"public Integer lenData() {\n if (this.lenData != null)\n return this.lenData;\n int _tmp = (int) (Long.parseLong(lenDataDec(), 10));\n this.lenData = _tmp;\n return this.lenData;\n }","title":""},{"docid":"76edb8ad85d96ec9085e8ce00f2b8792","score":"0.5834241","text":"public int length() {\r\n int length;\r\n\r\n // presentationContextID + reserved2 + reserved3 + reserved4\r\n length = 4; // 1 + 1 + 1 + 1;\r\n length += absSyntax.calcSize();\r\n for( int i = 0; i < trnSyntax.size(); i++) {\r\n length += ( (DICOM_PDUItemType)trnSyntax.elementAt(i) ).calcSize();\r\n }\r\n return(length);\r\n }","title":""},{"docid":"40f152f579ec32ead90ba8b976581ab9","score":"0.5832182","text":"public int rawLength() {\n\n\t\tif(version < VERSION_SPLIT_NR)\n\t\t\treturn 4 + count*NetworkAddress.rawLength(version);\n\t\telse \n\t\t\treturn 4 + count*(4 + NetworkAddress.rawLength(version));\n\t}","title":""},{"docid":"ff725c206a12a623a302bec2d14367d4","score":"0.58115005","text":"long getLength();","title":""},{"docid":"ff725c206a12a623a302bec2d14367d4","score":"0.58115005","text":"long getLength();","title":""},{"docid":"ff725c206a12a623a302bec2d14367d4","score":"0.58115005","text":"long getLength();","title":""},{"docid":"82c4435422125a0b1b1aa242014ce5be","score":"0.5808525","text":"public int getLength()\n {\n\tint l, end = binPart.size();\n\tl = 0;\n\tfor (int i = 0; i < end; ++i)\n\t{\n\t l += ((InstructionBinPart) binPart.elementAt(i)).getLength();\n\t}\n\t// System.out.println(\"Computed len\"+ l);\n\treturn l;\n }","title":""},{"docid":"fe9ba10cc08e52b419e4e09d0819df05","score":"0.5803538","text":"public int getCodingSize() {\n\t\treturn 32;\n//\t\treturn getSize() + (receiverPosition == null ? 0 : 3 * 32);\n\t}","title":""},{"docid":"c4fc288a233581d6d7180d48c807572e","score":"0.5798849","text":"@Override\n public int length()\n {\n return Pack.SHORT_SIZE + Pack.LONG_SIZE * 2;\n }","title":""},{"docid":"8bc63d10acd1d2a8910eb0f8aeea68ca","score":"0.57954067","text":"@Test\n public void calculateSize_smallByteString() {\n int size = RLP.calculateSize(BytesValue.fromHexString(\"0x85\"));\n assertEquals(6, size);\n }","title":""},{"docid":"6c3cf2796be521ae482ef0e4d82e3faf","score":"0.5787023","text":"public static int Utf8Length(char c) {\n // 0xxx xxxx\n if((c&0x80)==0x00) return(1);\n // 110x xxxx\n if((c&0xE0)==0xC0) return(2);\n // 1110 xxxx\n if((c&0xF0)==0xE0) return(3);\n // 1111 0xxx\n if((c&0xF8)==0xF0) return(4);\n return(-1);\n }","title":""},{"docid":"464ef91a070fb9cd7e27078e9860ab0e","score":"0.5784371","text":"public int getLen() {\n return len_;\n }","title":""},{"docid":"68d912ecff476c81cf5be476c6adc9e8","score":"0.5764731","text":"public final short getKeyLength() { return getRawKeyLength(); }","title":""},{"docid":"a0d6da7ab653c7d380d11067414591ec","score":"0.57457614","text":"int dilLength()\n/* */ {\n/* 1733 */ return shareBytes().length - 86 - 16;\n/* */ }","title":""},{"docid":"c0d111dc49749b97a71b69e194fde87e","score":"0.57094926","text":"public static long countBytes(Value val) {\n int length = 0;\n InputStream in = null;\n try {\n in = val.getStream();\n BufferedInputStream bin = new BufferedInputStream(in);\n while (bin.read() != -1) {\n length++;\n }\n bin.close();\n } catch (Exception e) {\n length = -1;\n } finally {\n if (in != null) {\n try {\n in.close();\n } catch (IOException ignore) {}\n }\n }\n return length;\n }","title":""},{"docid":"bd6ef1eca4f42faae6817c7bd338ffb7","score":"0.5679632","text":"public int getLen() {\n return instance.getLen();\n }","title":""},{"docid":"2b85950ffa7a7302750718f47f625665","score":"0.56638074","text":"public int numberOfBytes()\n {\n return this.data.size();\n }","title":""},{"docid":"dac2d22f5bd80c6b50466cdfecb0c9ae","score":"0.56526655","text":"long getByteSize();","title":""},{"docid":"63037f24a2d1b51d63437308cc9c81c6","score":"0.5647843","text":"public int getLength()\r\n\t{\r\n\t\treturn totalLen;\r\n\t}","title":""},{"docid":"efd31c3c78f22b0268ee119eb10f2de1","score":"0.56399333","text":"public int getPayloadLength()\n {\n return (int)myPayloadLength.getValue();\n }","title":""},{"docid":"2d6b5e1ea3993dd70b4de52037d66b2e","score":"0.5636736","text":"@Override\n\tprotected int getPayloadByteNum()\n\t{\n\t\tint nPayloadByteNum = 0;\n\t\tfor(CMMqttTopicQoS topicQoS : m_topicQoSList.getList())\n\t\t{\n\t\t\t// string length bytes (2 bytes) + string length + qos byte \n\t\t\tnPayloadByteNum += CMInfo.STRING_LEN_BYTES_LEN + topicQoS.getTopic().getBytes().length + 1;\n\t\t}\n\t\treturn nPayloadByteNum;\n\t}","title":""},{"docid":"5645fb603c092eead6d5c91f10f17794","score":"0.5624664","text":"public int getPayloadByteLength()\n {\n // Extract binary data from header and store in class array.\n for(int i=0;i<BIT_WIDTH_32;i++)\n { \n int currentBitIndex = this.INDEX_OF_PAYLOAD_BYTE_LENGTH+i;\n \n if(this.newHeader.get(currentBitIndex))\n {\n this.bitArray32Wide[i] = true;\n }\n else\n {\n this.bitArray32Wide[i] = false;\n }\n \n currentBitIndex++;\n }\n \n // Convert binary data in class array into integer.\n int payloadByteLength = convertBinaryToInt(BIT_WIDTH_32);\n \n return payloadByteLength;\n }","title":""},{"docid":"b3f68f0edc6114faf264b9e92abb5007","score":"0.5621771","text":"public int getLength() {\r\n\t\treturn length;\r\n\t}","title":""},{"docid":"4570b38d9f4037aee48e17d683a9b46c","score":"0.5619265","text":"public Long getLength();","title":""},{"docid":"9f324dcd5b1f5ad40297aee5c04e84df","score":"0.56031394","text":"public int getLength() {\n\t\treturn this.data.length;\n\t}","title":""},{"docid":"2d3f619f7be1537edab701df3986eb10","score":"0.5601181","text":"@Override\r\n\tpublic int getLength() {\n\t\treturn length;\r\n\t}","title":""},{"docid":"491c6a18a431f07c722772523fb0ac7c","score":"0.5595118","text":"public long getBit_length() {\n return bit_length;\n }","title":""},{"docid":"bfb5fbf5ded65e48d7737b5e94d4092e","score":"0.55860454","text":"public static int getLength() {\n return LENGTH;\n }","title":""},{"docid":"23638cdd8d0112ddef6a70cbb546c878","score":"0.5585469","text":"public int getLength() {\n\t\treturn length;\n\t}","title":""},{"docid":"23638cdd8d0112ddef6a70cbb546c878","score":"0.5585469","text":"public int getLength() {\n\t\treturn length;\n\t}","title":""},{"docid":"23638cdd8d0112ddef6a70cbb546c878","score":"0.5585469","text":"public int getLength() {\n\t\treturn length;\n\t}","title":""},{"docid":"23638cdd8d0112ddef6a70cbb546c878","score":"0.5585469","text":"public int getLength() {\n\t\treturn length;\n\t}","title":""},{"docid":"23638cdd8d0112ddef6a70cbb546c878","score":"0.5585469","text":"public int getLength() {\n\t\treturn length;\n\t}","title":""},{"docid":"23638cdd8d0112ddef6a70cbb546c878","score":"0.5585469","text":"public int getLength() {\n\t\treturn length;\n\t}","title":""},{"docid":"ea17ead4a3365fe65b81fa177a089364","score":"0.5578283","text":"Integer getLENGTH();","title":""},{"docid":"5ac3922c95e0ea6ad1827bafbfea7a52","score":"0.55736876","text":"@Test\n public void calculateSize_shortList() {\n int size = RLP.calculateSize(BytesValue.fromHexString(\"0xC5\"));\n assertEquals(6, size);\n }","title":""},{"docid":"ad2c0c53fb4c6583df3ec73916a69fb1","score":"0.5571375","text":"public long getSize()\r\n\t\t\t{\r\n\t\t\t\tlong size = 0;\r\n\t\t\t\t\r\n\t\t\t\tsize += JausUtils.getNumBytes(\"byte\");\r\n\t\t\t\tsize += JausUtils.getNumBytes(\"short\");\r\n\t\t\t\tsize += JausUtils.getNumBytes(\"byte\");\r\n\t\t\t\tsize += JausUtils.getNumBytes(\"byte\");\r\n\t\t\t\tif (checkPresenceVector(0))\r\n\t\t\t\t{\r\n\t\t\t\t\tsize += JausUtils.getNumBytes(\"short\");\r\n\t\t\t\t}\r\n\t\t\t\tif (checkPresenceVector(1))\r\n\t\t\t\t{\r\n\t\t\t\t\tsize += JausUtils.getNumBytes(\"byte\");\r\n\t\t\t\t}\r\n\t\t\t\tsize += JausUtils.getNumBytes(\"byte\");\r\n\t\t\t\tif (checkPresenceVector(2))\r\n\t\t\t\t{\r\n\t\t\t\t\tsize += JausUtils.getNumBytes(\"byte\");\r\n\t\t\t\t}\r\n\t\t\t\tsize += m_MessagePayload.getSize();\r\n\t\t\t\t\r\n\t\t\t\treturn size;\r\n\t\t\t}","title":""},{"docid":"83832b99c63a77ce578c5c7b88e03b67","score":"0.5566871","text":"public int lengthBit() {\n return length() * 8;\n }","title":""},{"docid":"fac5356be4dd5617608f6fa5b797d69d","score":"0.5564287","text":"public long getLength() {\n\t\treturn length;\n\t}","title":""},{"docid":"2076dd623040b6887b8c75d980a55ab0","score":"0.55618465","text":"@Test\n public void calculateSize_longByteStringWithMultiByteSize() {\n int size = RLP.calculateSize(BytesValue.fromHexString(\"0xB90102\"));\n assertEquals(261, size);\n }","title":""},{"docid":"a770813e478900c2d0460ed44bcb0056","score":"0.5556028","text":"public final int getPackedLongByteLength() {\n return PackedInteger.getReadLongLength(buf, off);\n }","title":""},{"docid":"1949ead4dae9145d99ac48c973248d20","score":"0.5555425","text":"public int getPartialLength() {\n return dlen;\n }","title":""},{"docid":"eaa054dbbd33bc282e9208ddd0592a33","score":"0.5555194","text":"public long getLength() {\n\t\treturn this.iLength;\n\t}","title":""},{"docid":"ca2f5fb6ab8a6f7138e430df07973c29","score":"0.55545807","text":"public int getLength(){\r\n\t\treturn length;\r\n\t}","title":""},{"docid":"e191a66674b7cf111bb9ed4a490a2097","score":"0.55533934","text":"public int getLength();","title":""},{"docid":"e191a66674b7cf111bb9ed4a490a2097","score":"0.55533934","text":"public int getLength();","title":""},{"docid":"e191a66674b7cf111bb9ed4a490a2097","score":"0.55533934","text":"public int getLength();","title":""},{"docid":"e191a66674b7cf111bb9ed4a490a2097","score":"0.55533934","text":"public int getLength();","title":""},{"docid":"e191a66674b7cf111bb9ed4a490a2097","score":"0.55533934","text":"public int getLength();","title":""},{"docid":"6e2577b9a00a64163564304fe8c02997","score":"0.555313","text":"public int getByteSize()\n {\n return byteSize;\n }","title":""},{"docid":"39a141282d87dbf3e452ca60918a4431","score":"0.55488485","text":"public int getLength() throws MdsException\n\t{\n\t\tresolveNid();\n\t\treturn getNci(nid, ctxTree.getCtx(), NciLENGTH);\n\t}","title":""},{"docid":"a2ae2015e3b93569b82c42ff2c71a2c8","score":"0.55431044","text":"public String getLengthAsString() {\n\t\tint length = getLength();\n\t\treturn showHexNumbers ? getHexString(length, true) : Integer.toString(length);\n\t}","title":""},{"docid":"ade195cbd47cc975f6efe5f8aa295c0b","score":"0.5534733","text":"protected byte[] getLengthTag(byte[] p2)\n {\n byte[] L2 = new byte[8];\n if (p2 != null)\n {\n Pack.longToBigEndian(p2.length * 8L, L2, 0);\n }\n return L2;\n }","title":""},{"docid":"5aeb02d97ab8a6204760f76fb701e183","score":"0.5534197","text":"long length();","title":""},{"docid":"9635b9e4bdf69cabfdf10934b6a52fcd","score":"0.5522669","text":"@Override\n public long getLength() {\n checkValid();\n\n return entry.getLength();\n }","title":""},{"docid":"fa3638bc457ca1e19c55524f9db35a95","score":"0.55225897","text":"public int getLength() {\r\n return data.length();\r\n }","title":""},{"docid":"330a9d86026ae6a7444e59e65b8f736a","score":"0.5508888","text":"public native int coded_width();","title":""},{"docid":"330a9d86026ae6a7444e59e65b8f736a","score":"0.5508888","text":"public native int coded_width();","title":""},{"docid":"c78dba0bf1cd73b4753614d8b6239a1b","score":"0.5507034","text":"public int getLength(){\n\t\treturn length;\n\t}","title":""},{"docid":"c78dba0bf1cd73b4753614d8b6239a1b","score":"0.5507034","text":"public int getLength(){\n\t\treturn length;\n\t}","title":""},{"docid":"8dba1c91d6c499cb9a0be26961b52862","score":"0.5504402","text":"public int getSize() {\n return length + 3 * 8 + 2 * 4;\n }","title":""},{"docid":"9cf778e25f23ead2994ce1dd0d2875b7","score":"0.5503503","text":"public int length()\n\t{\n\t\treturn value.length;\n\t}","title":""},{"docid":"e476071d991289b0d71989dbd9453c16","score":"0.55025625","text":"int getLength();","title":""}],"string":"[\n {\n \"docid\": \"3901325a5ec34bad3026f3ef7d3e662e\",\n \"score\": \"0.69494796\",\n \"text\": \"private int getLength() throws IOException {\\n\\n int i = in.read();\\n if (i == -1) {\\n throw new IOException(\\\"Invalid DER: length missing\\\");\\n }\\n\\n // A single byte short length\\n if ((i & ~0x7F) == 0) {\\n return i;\\n }\\n\\n int num = i & 0x7F;\\n\\n // We can't handle length longer than 4 bytes\\n if (i >= 0xFF || num > 4) {\\n throw new IOException(\\\"Invalid DER: length field too big (\\\"\\n + i + \\\")\\\");\\n }\\n\\n byte[] bytes = new byte[num];\\n int n = in.read(bytes);\\n if (n < num) {\\n throw new IOException(\\\"Invalid DER: length too short\\\");\\n }\\n\\n return new BigInteger(1, bytes).intValue();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"120866b3cdd094167527f69358e3c2e3\",\n \"score\": \"0.6633196\",\n \"text\": \"@Override\\n\\tpublic int getByteLength() {\\n\\t\\treturn Integer.SIZE / 8;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cfc798ad65fd669b244da49c97647eb6\",\n \"score\": \"0.6540695\",\n \"text\": \"public int getTotalByteLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b70e715f206f301ddc1f55115d5aebdc\",\n \"score\": \"0.6529852\",\n \"text\": \"public int getLength() {\\r\\n\\t\\tint length = 0;\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tlength = this.encode().length;\\r\\n\\t\\t} catch (SpeedyException e) {\\r\\n\\t\\t\\t// TODO Auto-generated catch block\\r\\n\\t\\t\\te.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn length;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba1c804fffe3a904f8ae29443bedeb95\",\n \"score\": \"0.6317867\",\n \"text\": \"public static int getLength() {\\n return Byte.SIZE + Integer.SIZE;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"890a4b3ed56204a1881155b69af5a5dd\",\n \"score\": \"0.6233337\",\n \"text\": \"static int getDNSPacketLength(byte[] buffer) { // default buffer[x] is 8 bits\\n\\t\\t\\n\\t\\tint len = 0; //stop at non printable.. excluding hex A LF\\n\\n\\t\\tfor(int i=0; i<=64; i++) // loop throug entire \\\"file stream\\\" buffer\\n\\t\\t{\\t\\t\\t\\n\\t\\t\\t//String encodedbytes = Hex.\\n\\t\\t\\t// find CO ;;; C = ith byte into payload.. we want total len\\n\\t\\t\\tif(buffer[i] == 109 && buffer[i+1] == 0) // = m in decimal... COM<null><0><1><0><1>\\t\\n\\t\\t\\t{\\n\\t\\t\\t\\tlen = i + 6; // o boy..\\t\\t\\t\\t\\n\\t\\t\\t\\tbreak;\\t\\t\\t\\n\\t\\t\\t}\\t\\t\\t\\n\\t\\t}\\n\\t\\treturn len;\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fc5be2953c29a257fb00d981bcfe4b7\",\n \"score\": \"0.6201652\",\n \"text\": \"public String lenDataDec() { return lenDataDec; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fc5be2953c29a257fb00d981bcfe4b7\",\n \"score\": \"0.6201652\",\n \"text\": \"public String lenDataDec() { return lenDataDec; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ea3966ad58598713fb1c671f02b29c65\",\n \"score\": \"0.61672837\",\n \"text\": \"@Override\\n public int computeLength()\\n {\\n dnBytes = Strings.getBytesUtf8( getName().getName() );\\n int dnLength = dnBytes.length;\\n\\n // The entry\\n return 1 + TLV.getNbBytes( dnLength ) + dnLength;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"adcceabffed5271162acf749b7bb5959\",\n \"score\": \"0.6161659\",\n \"text\": \"@Override\\r\\n\\tpublic int byteLength() {\\r\\n\\t\\treturn Math.min(GlobalStringPool.LENGTH_THRESHOLD, value.length() + 1);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4782ae27c28d90b0300cf59e56da700b\",\n \"score\": \"0.614051\",\n \"text\": \"long GetLength()\\n {\\n \\tReferencedLong length = new ReferencedLong();\\n ByteArrayScalarTypeConversionLib.ByteArray2Uint(m_Header, 4, length);\\n return length.val;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"334209e6b1cf1f6269a45b827069e75c\",\n \"score\": \"0.61359155\",\n \"text\": \"public long getLength(ExtendedBlock b) throws IOException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bb64569ed453bf22d0422328dccccbbf\",\n \"score\": \"0.60987943\",\n \"text\": \"int getDataLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e3ba6c2a432bbcdb23796766955d064\",\n \"score\": \"0.6095017\",\n \"text\": \"public int getByteSize(){\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd1a29a0aaee0914ed552bc17f76efde\",\n \"score\": \"0.60780185\",\n \"text\": \"public static int encodedLength(byte[] b, boolean encodingWord) {\\n/* 87 */ int len = 0;\\n/* 88 */ String specials = encodingWord ? WORD_SPECIALS : TEXT_SPECIALS;\\n/* 89 */ for (int i = 0; i < b.length; i++) {\\n/* 90 */ int c = b[i] & 0xFF;\\n/* 91 */ if (c < 32 || c >= 127 || specials.indexOf(c) >= 0) {\\n/* */ \\n/* 93 */ len += 3;\\n/* */ } else {\\n/* 95 */ len++;\\n/* */ } \\n/* 97 */ } return len;\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"475fd5a9da493c6d040a734f2bc2490f\",\n \"score\": \"0.6049221\",\n \"text\": \"public Integer getByteLength() {\\n return this.byteLength;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b15a5c0928b628b19675a182505e729\",\n \"score\": \"0.60141367\",\n \"text\": \"public int getLength() {\\r\\n\\t\\treturn isEpcGlobal ? tdtEpc.getLength() : tdtEpc.getEpcBinaryData().length();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d5b4ef41f05fc045978c24682e4a531\",\n \"score\": \"0.60052586\",\n \"text\": \"long getLen();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b658b7fc88cb5077afbf7a66330de37c\",\n \"score\": \"0.59983194\",\n \"text\": \"public int getValueBitLength() {\\n /* TODO: Count last bit used by mask */\\n return value.length * 8;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b047a2d8dcd04c54bb5062a994c18bc8\",\n \"score\": \"0.5970535\",\n \"text\": \"int getLen();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4be137e823debe3c76e4ac435a9967a3\",\n \"score\": \"0.59668845\",\n \"text\": \"public int length() {\\n return bytes.length;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"42359652897b50f4332c2e60c0657a81\",\n \"score\": \"0.59626406\",\n \"text\": \"public int getByteLength()\\r\\n {\\r\\n return BYTE_LENGTH;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"caf79dfc6dc806776a3adde27a910b03\",\n \"score\": \"0.5942804\",\n \"text\": \"public long getEncryptedDataLength() { return Util.readLongBE(encryptedDataLength); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c855665e4b61fa791edd22d9dc60a8fa\",\n \"score\": \"0.5922733\",\n \"text\": \"public int getBinaryPattLen(String s){\\n return s.length();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e60e02156d212c8eac61964a647f8a11\",\n \"score\": \"0.5918578\",\n \"text\": \"private int get_bit_size(long value)\\n {\\n return Long.toBinaryString(value).length();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e9c104b2933f57cf8da0e6bc8094209d\",\n \"score\": \"0.59115934\",\n \"text\": \"public int encodedSize(MemberGuideAttachedInfo cvVar) {\\n return ProtoAdapter.STRING.encodedSizeWithTag(1, cvVar.f105808b) + ProtoAdapter.STRING.encodedSizeWithTag(2, cvVar.f105809c) + cvVar.unknownFields().mo132944h();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b019a7d04b26516452a3d9c562c276a\",\n \"score\": \"0.590873\",\n \"text\": \"Integer getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b41e9a98e7da5ddf196bf3d251034a63\",\n \"score\": \"0.5897994\",\n \"text\": \"public abstract int getNumBytes();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a36b9696145e6f6dd1aee3fc67f89652\",\n \"score\": \"0.58944535\",\n \"text\": \"public long getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e8ec7b8a557581983ee98154b1b8f56\",\n \"score\": \"0.5894155\",\n \"text\": \"public int getSerializedLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f978cebc1d4417b9a26051d8ecf1a41e\",\n \"score\": \"0.58703595\",\n \"text\": \"public int getDGILength() throws TLVEncodingException {\\n\\t\\tint length;\\n\\t\\tint i = 1;\\n\\n\\t\\tif (cursor >= limit)\\n\\t\\t\\tthrow new TLVEncodingException(\\\"End of buffer\\\");\\n\\n\\t\\tif (buffer[cursor] == (byte)0xFF) {\\n\\t\\t\\ti = 2;\\n\\t\\t\\tcursor++;\\n\\t\\t}\\n\\n\\t\\tif (cursor + i > limit)\\n\\t\\t\\tthrow new TLVEncodingException(\\\"Invalid DGI length field\\\");\\n\\n\\t\\tlength = 0;\\n\\t\\tfor (; i > 0; i--) {\\n\\t\\t\\tlength = (length << 8) | (buffer[cursor++] & 0xFF);\\n\\t\\t}\\n\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91e7929720805f27982b25454a933239\",\n \"score\": \"0.58682716\",\n \"text\": \"@Test\\n public void calculateSize_longByteString() {\\n int size = RLP.calculateSize(BytesValue.fromHexString(\\\"0xB838\\\"));\\n assertEquals(58, size);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f86dc3a437f54d47aae371fb712ce28c\",\n \"score\": \"0.58575535\",\n \"text\": \"public static int encodeLength(BerByteArrayOutputStream os, int length) throws IOException {\\n\\n if (length <= 127) {\\n // this is the short form, it is coded differently than the long\\n // form for values > 127\\n os.write((byte) length);\\n return 1;\\n }\\n else {\\n int numLengthBytes = 1;\\n\\n while (((int) (Math.pow(2, 8 * numLengthBytes) - 1)) < length) {\\n numLengthBytes++;\\n }\\n\\n for (int i = 0; i < numLengthBytes; i++) {\\n os.write((length >> 8 * i) & 0xff);\\n }\\n\\n os.write(0x80 | numLengthBytes);\\n\\n return 1 + numLengthBytes;\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee44ef02051f85c805b1e2374bb7c9a5\",\n \"score\": \"0.5856185\",\n \"text\": \"public final int getLength() {\\n\\t\\treturn value.length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"11b931107fa26a966bfc6e491e29f2ba\",\n \"score\": \"0.58497536\",\n \"text\": \"public int getCompressedLength() throws MdsException\\n\\t{\\n\\t\\tresolveNid();\\n\\t\\treturn getNci(nid, ctxTree.getCtx(), NciRLENGTH);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71ebd476923f27ebf3d75939bb9f8a12\",\n \"score\": \"0.5848773\",\n \"text\": \"public long getKeyLength() {\\n return Util.readLongBE(keyLength);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f5f6d6b6037e348a4c695a9d270e87bf\",\n \"score\": \"0.58390355\",\n \"text\": \"public Integer lenData() {\\n if (this.lenData != null)\\n return this.lenData;\\n int _tmp = (int) (Long.parseLong(lenDataDec(), 10));\\n this.lenData = _tmp;\\n return this.lenData;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f5f6d6b6037e348a4c695a9d270e87bf\",\n \"score\": \"0.58390355\",\n \"text\": \"public Integer lenData() {\\n if (this.lenData != null)\\n return this.lenData;\\n int _tmp = (int) (Long.parseLong(lenDataDec(), 10));\\n this.lenData = _tmp;\\n return this.lenData;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"76edb8ad85d96ec9085e8ce00f2b8792\",\n \"score\": \"0.5834241\",\n \"text\": \"public int length() {\\r\\n int length;\\r\\n\\r\\n // presentationContextID + reserved2 + reserved3 + reserved4\\r\\n length = 4; // 1 + 1 + 1 + 1;\\r\\n length += absSyntax.calcSize();\\r\\n for( int i = 0; i < trnSyntax.size(); i++) {\\r\\n length += ( (DICOM_PDUItemType)trnSyntax.elementAt(i) ).calcSize();\\r\\n }\\r\\n return(length);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"40f152f579ec32ead90ba8b976581ab9\",\n \"score\": \"0.5832182\",\n \"text\": \"public int rawLength() {\\n\\n\\t\\tif(version < VERSION_SPLIT_NR)\\n\\t\\t\\treturn 4 + count*NetworkAddress.rawLength(version);\\n\\t\\telse \\n\\t\\t\\treturn 4 + count*(4 + NetworkAddress.rawLength(version));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff725c206a12a623a302bec2d14367d4\",\n \"score\": \"0.58115005\",\n \"text\": \"long getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff725c206a12a623a302bec2d14367d4\",\n \"score\": \"0.58115005\",\n \"text\": \"long getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff725c206a12a623a302bec2d14367d4\",\n \"score\": \"0.58115005\",\n \"text\": \"long getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82c4435422125a0b1b1aa242014ce5be\",\n \"score\": \"0.5808525\",\n \"text\": \"public int getLength()\\n {\\n\\tint l, end = binPart.size();\\n\\tl = 0;\\n\\tfor (int i = 0; i < end; ++i)\\n\\t{\\n\\t l += ((InstructionBinPart) binPart.elementAt(i)).getLength();\\n\\t}\\n\\t// System.out.println(\\\"Computed len\\\"+ l);\\n\\treturn l;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fe9ba10cc08e52b419e4e09d0819df05\",\n \"score\": \"0.5803538\",\n \"text\": \"public int getCodingSize() {\\n\\t\\treturn 32;\\n//\\t\\treturn getSize() + (receiverPosition == null ? 0 : 3 * 32);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4fc288a233581d6d7180d48c807572e\",\n \"score\": \"0.5798849\",\n \"text\": \"@Override\\n public int length()\\n {\\n return Pack.SHORT_SIZE + Pack.LONG_SIZE * 2;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8bc63d10acd1d2a8910eb0f8aeea68ca\",\n \"score\": \"0.57954067\",\n \"text\": \"@Test\\n public void calculateSize_smallByteString() {\\n int size = RLP.calculateSize(BytesValue.fromHexString(\\\"0x85\\\"));\\n assertEquals(6, size);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6c3cf2796be521ae482ef0e4d82e3faf\",\n \"score\": \"0.5787023\",\n \"text\": \"public static int Utf8Length(char c) {\\n // 0xxx xxxx\\n if((c&0x80)==0x00) return(1);\\n // 110x xxxx\\n if((c&0xE0)==0xC0) return(2);\\n // 1110 xxxx\\n if((c&0xF0)==0xE0) return(3);\\n // 1111 0xxx\\n if((c&0xF8)==0xF0) return(4);\\n return(-1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"464ef91a070fb9cd7e27078e9860ab0e\",\n \"score\": \"0.5784371\",\n \"text\": \"public int getLen() {\\n return len_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"68d912ecff476c81cf5be476c6adc9e8\",\n \"score\": \"0.5764731\",\n \"text\": \"public final short getKeyLength() { return getRawKeyLength(); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a0d6da7ab653c7d380d11067414591ec\",\n \"score\": \"0.57457614\",\n \"text\": \"int dilLength()\\n/* */ {\\n/* 1733 */ return shareBytes().length - 86 - 16;\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c0d111dc49749b97a71b69e194fde87e\",\n \"score\": \"0.57094926\",\n \"text\": \"public static long countBytes(Value val) {\\n int length = 0;\\n InputStream in = null;\\n try {\\n in = val.getStream();\\n BufferedInputStream bin = new BufferedInputStream(in);\\n while (bin.read() != -1) {\\n length++;\\n }\\n bin.close();\\n } catch (Exception e) {\\n length = -1;\\n } finally {\\n if (in != null) {\\n try {\\n in.close();\\n } catch (IOException ignore) {}\\n }\\n }\\n return length;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd6ef1eca4f42faae6817c7bd338ffb7\",\n \"score\": \"0.5679632\",\n \"text\": \"public int getLen() {\\n return instance.getLen();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2b85950ffa7a7302750718f47f625665\",\n \"score\": \"0.56638074\",\n \"text\": \"public int numberOfBytes()\\n {\\n return this.data.size();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dac2d22f5bd80c6b50466cdfecb0c9ae\",\n \"score\": \"0.56526655\",\n \"text\": \"long getByteSize();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"63037f24a2d1b51d63437308cc9c81c6\",\n \"score\": \"0.5647843\",\n \"text\": \"public int getLength()\\r\\n\\t{\\r\\n\\t\\treturn totalLen;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efd31c3c78f22b0268ee119eb10f2de1\",\n \"score\": \"0.56399333\",\n \"text\": \"public int getPayloadLength()\\n {\\n return (int)myPayloadLength.getValue();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d6b5e1ea3993dd70b4de52037d66b2e\",\n \"score\": \"0.5636736\",\n \"text\": \"@Override\\n\\tprotected int getPayloadByteNum()\\n\\t{\\n\\t\\tint nPayloadByteNum = 0;\\n\\t\\tfor(CMMqttTopicQoS topicQoS : m_topicQoSList.getList())\\n\\t\\t{\\n\\t\\t\\t// string length bytes (2 bytes) + string length + qos byte \\n\\t\\t\\tnPayloadByteNum += CMInfo.STRING_LEN_BYTES_LEN + topicQoS.getTopic().getBytes().length + 1;\\n\\t\\t}\\n\\t\\treturn nPayloadByteNum;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5645fb603c092eead6d5c91f10f17794\",\n \"score\": \"0.5624664\",\n \"text\": \"public int getPayloadByteLength()\\n {\\n // Extract binary data from header and store in class array.\\n for(int i=0;i<BIT_WIDTH_32;i++)\\n { \\n int currentBitIndex = this.INDEX_OF_PAYLOAD_BYTE_LENGTH+i;\\n \\n if(this.newHeader.get(currentBitIndex))\\n {\\n this.bitArray32Wide[i] = true;\\n }\\n else\\n {\\n this.bitArray32Wide[i] = false;\\n }\\n \\n currentBitIndex++;\\n }\\n \\n // Convert binary data in class array into integer.\\n int payloadByteLength = convertBinaryToInt(BIT_WIDTH_32);\\n \\n return payloadByteLength;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b3f68f0edc6114faf264b9e92abb5007\",\n \"score\": \"0.5621771\",\n \"text\": \"public int getLength() {\\r\\n\\t\\treturn length;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4570b38d9f4037aee48e17d683a9b46c\",\n \"score\": \"0.5619265\",\n \"text\": \"public Long getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f324dcd5b1f5ad40297aee5c04e84df\",\n \"score\": \"0.56031394\",\n \"text\": \"public int getLength() {\\n\\t\\treturn this.data.length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d3f619f7be1537edab701df3986eb10\",\n \"score\": \"0.5601181\",\n \"text\": \"@Override\\r\\n\\tpublic int getLength() {\\n\\t\\treturn length;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"491c6a18a431f07c722772523fb0ac7c\",\n \"score\": \"0.5595118\",\n \"text\": \"public long getBit_length() {\\n return bit_length;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bfb5fbf5ded65e48d7737b5e94d4092e\",\n \"score\": \"0.55860454\",\n \"text\": \"public static int getLength() {\\n return LENGTH;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23638cdd8d0112ddef6a70cbb546c878\",\n \"score\": \"0.5585469\",\n \"text\": \"public int getLength() {\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23638cdd8d0112ddef6a70cbb546c878\",\n \"score\": \"0.5585469\",\n \"text\": \"public int getLength() {\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23638cdd8d0112ddef6a70cbb546c878\",\n \"score\": \"0.5585469\",\n \"text\": \"public int getLength() {\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23638cdd8d0112ddef6a70cbb546c878\",\n \"score\": \"0.5585469\",\n \"text\": \"public int getLength() {\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23638cdd8d0112ddef6a70cbb546c878\",\n \"score\": \"0.5585469\",\n \"text\": \"public int getLength() {\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23638cdd8d0112ddef6a70cbb546c878\",\n \"score\": \"0.5585469\",\n \"text\": \"public int getLength() {\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ea17ead4a3365fe65b81fa177a089364\",\n \"score\": \"0.5578283\",\n \"text\": \"Integer getLENGTH();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ac3922c95e0ea6ad1827bafbfea7a52\",\n \"score\": \"0.55736876\",\n \"text\": \"@Test\\n public void calculateSize_shortList() {\\n int size = RLP.calculateSize(BytesValue.fromHexString(\\\"0xC5\\\"));\\n assertEquals(6, size);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad2c0c53fb4c6583df3ec73916a69fb1\",\n \"score\": \"0.5571375\",\n \"text\": \"public long getSize()\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tlong size = 0;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tsize += JausUtils.getNumBytes(\\\"byte\\\");\\r\\n\\t\\t\\t\\tsize += JausUtils.getNumBytes(\\\"short\\\");\\r\\n\\t\\t\\t\\tsize += JausUtils.getNumBytes(\\\"byte\\\");\\r\\n\\t\\t\\t\\tsize += JausUtils.getNumBytes(\\\"byte\\\");\\r\\n\\t\\t\\t\\tif (checkPresenceVector(0))\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\tsize += JausUtils.getNumBytes(\\\"short\\\");\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tif (checkPresenceVector(1))\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\tsize += JausUtils.getNumBytes(\\\"byte\\\");\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tsize += JausUtils.getNumBytes(\\\"byte\\\");\\r\\n\\t\\t\\t\\tif (checkPresenceVector(2))\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\tsize += JausUtils.getNumBytes(\\\"byte\\\");\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tsize += m_MessagePayload.getSize();\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\treturn size;\\r\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"83832b99c63a77ce578c5c7b88e03b67\",\n \"score\": \"0.5566871\",\n \"text\": \"public int lengthBit() {\\n return length() * 8;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fac5356be4dd5617608f6fa5b797d69d\",\n \"score\": \"0.5564287\",\n \"text\": \"public long getLength() {\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2076dd623040b6887b8c75d980a55ab0\",\n \"score\": \"0.55618465\",\n \"text\": \"@Test\\n public void calculateSize_longByteStringWithMultiByteSize() {\\n int size = RLP.calculateSize(BytesValue.fromHexString(\\\"0xB90102\\\"));\\n assertEquals(261, size);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a770813e478900c2d0460ed44bcb0056\",\n \"score\": \"0.5556028\",\n \"text\": \"public final int getPackedLongByteLength() {\\n return PackedInteger.getReadLongLength(buf, off);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1949ead4dae9145d99ac48c973248d20\",\n \"score\": \"0.5555425\",\n \"text\": \"public int getPartialLength() {\\n return dlen;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eaa054dbbd33bc282e9208ddd0592a33\",\n \"score\": \"0.5555194\",\n \"text\": \"public long getLength() {\\n\\t\\treturn this.iLength;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ca2f5fb6ab8a6f7138e430df07973c29\",\n \"score\": \"0.55545807\",\n \"text\": \"public int getLength(){\\r\\n\\t\\treturn length;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e191a66674b7cf111bb9ed4a490a2097\",\n \"score\": \"0.55533934\",\n \"text\": \"public int getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e191a66674b7cf111bb9ed4a490a2097\",\n \"score\": \"0.55533934\",\n \"text\": \"public int getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e191a66674b7cf111bb9ed4a490a2097\",\n \"score\": \"0.55533934\",\n \"text\": \"public int getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e191a66674b7cf111bb9ed4a490a2097\",\n \"score\": \"0.55533934\",\n \"text\": \"public int getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e191a66674b7cf111bb9ed4a490a2097\",\n \"score\": \"0.55533934\",\n \"text\": \"public int getLength();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e2577b9a00a64163564304fe8c02997\",\n \"score\": \"0.555313\",\n \"text\": \"public int getByteSize()\\n {\\n return byteSize;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39a141282d87dbf3e452ca60918a4431\",\n \"score\": \"0.55488485\",\n \"text\": \"public int getLength() throws MdsException\\n\\t{\\n\\t\\tresolveNid();\\n\\t\\treturn getNci(nid, ctxTree.getCtx(), NciLENGTH);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2ae2015e3b93569b82c42ff2c71a2c8\",\n \"score\": \"0.55431044\",\n \"text\": \"public String getLengthAsString() {\\n\\t\\tint length = getLength();\\n\\t\\treturn showHexNumbers ? getHexString(length, true) : Integer.toString(length);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ade195cbd47cc975f6efe5f8aa295c0b\",\n \"score\": \"0.5534733\",\n \"text\": \"protected byte[] getLengthTag(byte[] p2)\\n {\\n byte[] L2 = new byte[8];\\n if (p2 != null)\\n {\\n Pack.longToBigEndian(p2.length * 8L, L2, 0);\\n }\\n return L2;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5aeb02d97ab8a6204760f76fb701e183\",\n \"score\": \"0.5534197\",\n \"text\": \"long length();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9635b9e4bdf69cabfdf10934b6a52fcd\",\n \"score\": \"0.5522669\",\n \"text\": \"@Override\\n public long getLength() {\\n checkValid();\\n\\n return entry.getLength();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa3638bc457ca1e19c55524f9db35a95\",\n \"score\": \"0.55225897\",\n \"text\": \"public int getLength() {\\r\\n return data.length();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"330a9d86026ae6a7444e59e65b8f736a\",\n \"score\": \"0.5508888\",\n \"text\": \"public native int coded_width();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"330a9d86026ae6a7444e59e65b8f736a\",\n \"score\": \"0.5508888\",\n \"text\": \"public native int coded_width();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c78dba0bf1cd73b4753614d8b6239a1b\",\n \"score\": \"0.5507034\",\n \"text\": \"public int getLength(){\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c78dba0bf1cd73b4753614d8b6239a1b\",\n \"score\": \"0.5507034\",\n \"text\": \"public int getLength(){\\n\\t\\treturn length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8dba1c91d6c499cb9a0be26961b52862\",\n \"score\": \"0.5504402\",\n \"text\": \"public int getSize() {\\n return length + 3 * 8 + 2 * 4;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9cf778e25f23ead2994ce1dd0d2875b7\",\n \"score\": \"0.5503503\",\n \"text\": \"public int length()\\n\\t{\\n\\t\\treturn value.length;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e476071d991289b0d71989dbd9453c16\",\n \"score\": \"0.55025625\",\n \"text\": \"int getLength();\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990992,"cells":{"query_id":{"kind":"string","value":"64af42c9b752717c4bbab98fd8dc1f6c"},"query":{"kind":"string","value":"Sets the value of the 'policy_id' field."},"positive_passages":{"kind":"list like","value":[{"docid":"0da512a3c6c19ef36161b505f699b1a4","score":"0.81665087","text":"public com.hillstone.network.event.ThreatEvent.Builder setPolicyId(long value) {\n validate(fields()[14], value);\n this.policy_id = value;\n fieldSetFlags()[14] = true;\n return this;\n }","title":""}],"string":"[\n {\n \"docid\": \"0da512a3c6c19ef36161b505f699b1a4\",\n \"score\": \"0.81665087\",\n \"text\": \"public com.hillstone.network.event.ThreatEvent.Builder setPolicyId(long value) {\\n validate(fields()[14], value);\\n this.policy_id = value;\\n fieldSetFlags()[14] = true;\\n return this;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"f1727a885a63ae456bb96e582e82fb2b","score":"0.8060633","text":"public void setPolicyId(java.lang.Long value) {\n this.policy_id = value;\n }","title":""},{"docid":"364a6a444c9b6adc213e196635352418","score":"0.7595595","text":"public void setPolicyId(String policyId)\r\n\t{\r\n\t\tthis.policyId = policyId;\r\n\t}","title":""},{"docid":"c4bf6aa5a57efec50ae55a39b07ad28c","score":"0.6876012","text":"public String getPolicyId()\r\n\t{\r\n\t\treturn policyId;\r\n\t}","title":""},{"docid":"81efacf2c38bc2c68e2ea9a77ac1f849","score":"0.6867953","text":"public Integer getPolicy_id() {\r\n\t\treturn policy_id;\r\n\t}","title":""},{"docid":"c6f75b207cbe59c0e7d198d13810c6df","score":"0.66845894","text":"public java.lang.Long getPolicyId() {\n return policy_id;\n }","title":""},{"docid":"2e3bfc54c0ef36c3f0e47cbdc863a16f","score":"0.6680811","text":"public java.lang.Long getPolicyId() {\n return policy_id;\n }","title":""},{"docid":"82100a41d8a9cc0cc0098e60eb3c3c48","score":"0.6484949","text":"public String policyId() {\n return this.policyId;\n }","title":""},{"docid":"3b1b1ed6b979ff78cf028abfa1c6923a","score":"0.6281953","text":"public String policyId() {\n return this.innerProperties() == null ? null : this.innerProperties().policyId();\n }","title":""},{"docid":"dcf61f1da9f1be356d780b89d0f057c9","score":"0.61785537","text":"public void setLastPolicyId(long last_policy_id) {\n this.last_policy_id = last_policy_id;\n }","title":""},{"docid":"08e02f94e64c0647f9d7483f2e20152b","score":"0.608288","text":"public void setSourcePolicyId(String sourcePolicyId) {\n this.sourcePolicyId = sourcePolicyId;\n }","title":""},{"docid":"1503e280a6bc4fe984c6513bb377288d","score":"0.6040713","text":"public A2ASwitchProtectionInput withPolicyId(String policyId) {\n this.policyId = policyId;\n return this;\n }","title":""},{"docid":"a34f38e4c11107cbb71e44d94b2a32f7","score":"0.6014007","text":"public void addPolicy(long policy){\n if(policies == null){\n policies = new ArrayList<Long>();\n }\n policies.add(new Long(policy));\n this.last_policy_id = policy;\n }","title":""},{"docid":"2c16b3c58aaa0edb06d7c3e0cf633fe9","score":"0.59237814","text":"public Builder setPolicy(\n java.lang.String value) {\n if (value == null) {\n throw new NullPointerException();\n }\n bitField0_ |= 0x00000004;\n policy_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"ab3ca0d0edb31e3bd9af85a0ff3974e0","score":"0.555689","text":"public void set_policyname(String policyname) throws Exception{\n\t\tthis.policyname = policyname;\n\t}","title":""},{"docid":"6e28eac140b99ff19b8c578f625cc105","score":"0.54975","text":"@setter(\"identifier\")\n\tpublic void setId(int id)\n\t{\n\t\t//TODO [DEBUG]\n \tSystem.out.println(\"Set my id \");\n \tthis.id = id;\n \tthis.setAttribute(\"identifier\", id);\n\t}","title":""},{"docid":"3357bd233137620a0ec41cf775491b56","score":"0.54760635","text":"public void setPolicyname(java.lang.String policyname) {\n this.policyname = policyname;\n }","title":""},{"docid":"2e5f612cecf97176f13d3d90562174eb","score":"0.54337335","text":"public JmsDefaultMessageIDPolicy(JmsDefaultMessageIDPolicy source) {\n this.messageIDBuilder = source.messageIDBuilder;\n this.messageIDBuilderType = source.messageIDBuilderType;\n }","title":""},{"docid":"2d4e7e7a4a41e3494f2ce2565b0cdbae","score":"0.5416108","text":"@RequestMapping(value = \"policies\", method = RequestMethod.PUT)\n public Policy update(@PathVariable Long id, @RequestBody Policy p) {\n Policy existingPolicy = policyRepository.findOne(id);\n BeanUtils.copyProperties(p, existingPolicy);\n //return PolicyStub.update(id, p);\n return policyRepository.saveAndFlush(existingPolicy);\n }","title":""},{"docid":"71327f75c5fb317540ef55f3f0faa036","score":"0.54093224","text":"public void setPaymentId(java.lang.String paymentId)\n {\n synchronized (monitor())\n {\n check_orphaned();\n org.apache.xmlbeans.SimpleValue target = null;\n target = (org.apache.xmlbeans.SimpleValue)get_store().find_element_user(PAYMENTID$0, 0);\n if (target == null)\n {\n target = (org.apache.xmlbeans.SimpleValue)get_store().add_element_user(PAYMENTID$0);\n }\n target.setStringValue(paymentId);\n }\n }","title":""},{"docid":"734dd79a16f7632023de09298419b9e9","score":"0.5404399","text":"public void setId(int pId){\n this.id = pId;\n }","title":""},{"docid":"5d8e75f426b06cd0c1a4fef9e0ba83f9","score":"0.5377156","text":"public void setId(int value){this._id = value;}","title":""},{"docid":"7a556aa624f43b89b837a77579b642e0","score":"0.5344353","text":"public com.hillstone.network.event.ThreatEvent.Builder clearPolicyId() {\n fieldSetFlags()[14] = false;\n return this;\n }","title":""},{"docid":"76f28b18e54fec9e8208415477058c37","score":"0.53387344","text":"public void setPolicyName(String policyName)\r\n\t{\r\n\t\tthis.policyName = policyName;\r\n\t}","title":""},{"docid":"b22b2e32c9239af142bb280a964df4f8","score":"0.532626","text":"public void setId(Integer pId)\n {\n id = pId;\n }","title":""},{"docid":"22839595630d9dc9851b216143fd4691","score":"0.53225064","text":"@Override\n\tpublic void setId(long id) {\n\t\t_assetManageReqHandleEntity.setId(id);\n\t}","title":""},{"docid":"b9e30a6840de95b08b39d9712489f762","score":"0.52984464","text":"private void setID(gw.pl.persistence.core.Key value) {\n __getInternalInterface().setFieldValue(ID_PROP.get(), value);\n }","title":""},{"docid":"48a193c7fcd6b9acb0f78ee21faad657","score":"0.5295269","text":"public void setID(gw.pl.persistence.core.Key value) {\n __getInternalInterface().setFieldValue(ID_PROP.get(), value);\n }","title":""},{"docid":"48a193c7fcd6b9acb0f78ee21faad657","score":"0.5295269","text":"public void setID(gw.pl.persistence.core.Key value) {\n __getInternalInterface().setFieldValue(ID_PROP.get(), value);\n }","title":""},{"docid":"36e68400f31b97e05de61b5a065514dc","score":"0.5291676","text":"public void setPolicyPeriod(entity.PolicyPeriod value);","title":""},{"docid":"aca7fc3f56d7d389876d02453dfa0dcd","score":"0.5277418","text":"public void setProposalId(long proposalId);","title":""},{"docid":"41d0a39ba9d884daee34c28f0ede57c1","score":"0.5272433","text":"public void setPolicyName(String policyName) {\n this.policyName = policyName;\n }","title":""},{"docid":"80bdce8cf248390fa35da33b7de9574b","score":"0.52689064","text":"public void setId(int _id) { this._id = _id; }","title":""},{"docid":"c56e09d8feb59ffe1e74195ebe9ebf52","score":"0.5262912","text":"public void setId(String value)\n {\n \tid = value;\n }","title":""},{"docid":"3b14eec085024be904d843eab800bf92","score":"0.5258111","text":"public void setId_(Integer id) {\n this.id = id;\n }","title":""},{"docid":"be8c607127da0adf013faa73892a0bd3","score":"0.52514887","text":"public void setId(int value) {\r\n this.id = value;\r\n }","title":""},{"docid":"be8c607127da0adf013faa73892a0bd3","score":"0.52514887","text":"public void setId(int value) {\r\n this.id = value;\r\n }","title":""},{"docid":"be75f8a5f4bef4a6831a2b43fdf321f7","score":"0.5247178","text":"public void setId(String value) {\n id = value;\n }","title":""},{"docid":"aa4c0901ed37a4b193f3478b38724e19","score":"0.5240288","text":"public void setId( Long pId )\r\n {\r\n id = pId;\r\n }","title":""},{"docid":"06ef185f88e3290a0119a5baa0bd819b","score":"0.52364665","text":"public String getPolicyNo() \n {\n return this.policyNo;\n }","title":""},{"docid":"f706033e53d8591bf05b5ac11170c10a","score":"0.523594","text":"public void setEpmApproveId(Number value) {\n setAttributeInternal(EPMAPPROVEID, value);\n }","title":""},{"docid":"51e5dfeede2169b6642c80fddf219b90","score":"0.5232601","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"c65d497c33592f2c0d67dc36dde7d863","score":"0.5227957","text":"public String getPolicyNumber(){\n return this.policyNumber;\n }","title":""},{"docid":"caa83a8cfdd327ac640694bc7b6001c7","score":"0.52277833","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"dd941c0fac47c2be665ca9de3bc2951d","score":"0.5215865","text":"public void setId(int value) {\n this.id = value;\n }","title":""},{"docid":"ed42ea286a69879e2f953a6aa1d4b90a","score":"0.5215149","text":"public void xsetPaymentId(org.apache.xmlbeans.XmlString paymentId)\n {\n synchronized (monitor())\n {\n check_orphaned();\n org.apache.xmlbeans.XmlString target = null;\n target = (org.apache.xmlbeans.XmlString)get_store().find_element_user(PAYMENTID$0, 0);\n if (target == null)\n {\n target = (org.apache.xmlbeans.XmlString)get_store().add_element_user(PAYMENTID$0);\n }\n target.set(paymentId);\n }\n }","title":""},{"docid":"d1fd50c31a8b51041fd65e0a14e98027","score":"0.52131605","text":"@Override\n\tpublic void setId(long id) {\n\t\t_issuePermissionForTransit.setId(id);\n\t}","title":""},{"docid":"bf6d7a819932562db51dfd2aee898883","score":"0.5208653","text":"public void setPolicyComponent(PolicyComponent policyComponent)\n {\n this.policyComponent = policyComponent;\n }","title":""},{"docid":"e4a90795eabb85524659b00adebbc178","score":"0.51839143","text":"public void setID(int _id) {\n this.id = _id;\n }","title":""},{"docid":"0f2bc0d02090a5dab2496d750c0469ce","score":"0.51825476","text":"public void setId(String id) {\r\n\t\t\t_id = id;\r\n\t\t}","title":""},{"docid":"71211e961b563cf3c876e88126ad559f","score":"0.51601064","text":"public String getSourcePolicyId() {\n return this.sourcePolicyId;\n }","title":""},{"docid":"4a809ddbbfaaa0266a7172df8e6ca9a0","score":"0.5158604","text":"final void setId(int id)\n {\n this.id = id;\n }","title":""},{"docid":"7f619728f7161d00ff67d5267d34900e","score":"0.5146268","text":"public void setId(int id) {\r\n \t\tthis.id = id;\r\n \t}","title":""},{"docid":"12c891349d9acca4945a17ad199834e7","score":"0.5144476","text":"public Builder setPIdValue(int value) {\n pId_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"6e3e9dee3f04f216cade6954c883c766","score":"0.5133561","text":"public final void setId (int id)\r\n {\r\n this.id = id;\r\n }","title":""},{"docid":"5320c14dad55d8f83858757f991cb65d","score":"0.5124543","text":"public void setId(int id)\n\t{\n\t\tthis.id = id;\n\t}","title":""},{"docid":"5320c14dad55d8f83858757f991cb65d","score":"0.5124543","text":"public void setId(int id)\n\t{\n\t\tthis.id = id;\n\t}","title":""},{"docid":"5320c14dad55d8f83858757f991cb65d","score":"0.5124543","text":"public void setId(int id)\n\t{\n\t\tthis.id = id;\n\t}","title":""},{"docid":"6e3402e5e29be5dbf86d0f5bf8810a30","score":"0.5120998","text":"public void setId(int id) {\r\n\t\tthis.id = id;\r\n\t}","title":""},{"docid":"6e3402e5e29be5dbf86d0f5bf8810a30","score":"0.5120998","text":"public void setId(int id) {\r\n\t\tthis.id = id;\r\n\t}","title":""},{"docid":"6e3402e5e29be5dbf86d0f5bf8810a30","score":"0.5120998","text":"public void setId(int id) {\r\n\t\tthis.id = id;\r\n\t}","title":""},{"docid":"6e3402e5e29be5dbf86d0f5bf8810a30","score":"0.5120998","text":"public void setId(int id) {\r\n\t\tthis.id = id;\r\n\t}","title":""},{"docid":"6e3402e5e29be5dbf86d0f5bf8810a30","score":"0.5120998","text":"public void setId(int id) {\r\n\t\tthis.id = id;\r\n\t}","title":""},{"docid":"6e3402e5e29be5dbf86d0f5bf8810a30","score":"0.5120998","text":"public void setId(int id) {\r\n\t\tthis.id = id;\r\n\t}","title":""},{"docid":"31fca8f667b9974be450419d8709d486","score":"0.5119155","text":"public String getPolicyNo(String policyId) {\r\n Logger l = LogUtils.getLogger(getClass());\r\n if (l.isLoggable(Level.FINER)) {\r\n l.entering(getClass().getName(), \"getPolicyNo\", new Object[]{policyId,});\r\n }\r\n\r\n Record inputRecord = new Record();\r\n inputRecord.setFieldValue(\"policyId\", policyId);\r\n String policyNo = getPolicyDAO().getPolicyNo(inputRecord);\r\n\r\n if (l.isLoggable(Level.FINER)) {\r\n l.exiting(getClass().getName(), \"getPolicyNo\", policyNo);\r\n }\r\n return policyNo;\r\n }","title":""},{"docid":"1ab17ca223c9aa7615cd5de9dfe79c8b","score":"0.51188254","text":"public void setId(int id)\n {\n this.id = id;\n }","title":""},{"docid":"1ab17ca223c9aa7615cd5de9dfe79c8b","score":"0.51188254","text":"public void setId(int id)\n {\n this.id = id;\n }","title":""},{"docid":"1ab17ca223c9aa7615cd5de9dfe79c8b","score":"0.51188254","text":"public void setId(int id)\n {\n this.id = id;\n }","title":""},{"docid":"fa6516b5dc39980184b8d7b5322b4c00","score":"0.51160043","text":"public void setId( int id ) {\r\n this.id = id;\r\n }","title":""},{"docid":"626c7ff667b7cf66a78d78a38fe2e4ac","score":"0.5115336","text":"public void setId(String _id) {\n\t getStateHelper().put(PropertyKeys.id, _id);\n }","title":""},{"docid":"b5db0ed35fd278f6750989ca95e77353","score":"0.51141614","text":"private void setId(String id) {\n this.id = id;\n }","title":""},{"docid":"5a5957ef25551039aaf0753b32af2a27","score":"0.51063764","text":"public final void setId(String id) {\n mid = id;\n }","title":""},{"docid":"2f9380e950a0be9e1ff591def01e6d9e","score":"0.5105057","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"0b95061bb260f4461703189ebd639656","score":"0.5097422","text":"public void setId(final ID id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.509627","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.509627","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.509627","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.509627","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"370c89ec4264533d53889698d284f277","score":"0.509627","text":"public void setId(int id) {\r\n this.id = id;\r\n }","title":""},{"docid":"cd24430ab1c2e6104868b531582bdec0","score":"0.50957316","text":"public void setId(final int id)\r\n\t{\r\n\t\tthis.id = id;\r\n\t}","title":""},{"docid":"9c64fbc539baaebc56b1158fef0812f2","score":"0.5095443","text":"protected void setId(long id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"fd1e7f55cd673404a2cbd37e7766e4a6","score":"0.509373","text":"public void setId(int id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"fd1e7f55cd673404a2cbd37e7766e4a6","score":"0.509373","text":"public void setId(int id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"fd1e7f55cd673404a2cbd37e7766e4a6","score":"0.509373","text":"public void setId(int id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"fd1e7f55cd673404a2cbd37e7766e4a6","score":"0.509373","text":"public void setId(int id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"fd1e7f55cd673404a2cbd37e7766e4a6","score":"0.509373","text":"public void setId(int id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"fd1e7f55cd673404a2cbd37e7766e4a6","score":"0.509373","text":"public void setId(int id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"fd1e7f55cd673404a2cbd37e7766e4a6","score":"0.509373","text":"public void setId(int id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"fd1e7f55cd673404a2cbd37e7766e4a6","score":"0.509373","text":"public void setId(int id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"fd1e7f55cd673404a2cbd37e7766e4a6","score":"0.509373","text":"public void setId(int id) {\n\t\tthis.id = id;\n\t}","title":""},{"docid":"fd1e7f55cd673404a2cbd37e7766e4a6","score":"0.509373","text":"public void setId(int id) {\n\t\tthis.id = id;\n\t}","title":""}],"string":"[\n {\n \"docid\": \"f1727a885a63ae456bb96e582e82fb2b\",\n \"score\": \"0.8060633\",\n \"text\": \"public void setPolicyId(java.lang.Long value) {\\n this.policy_id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"364a6a444c9b6adc213e196635352418\",\n \"score\": \"0.7595595\",\n \"text\": \"public void setPolicyId(String policyId)\\r\\n\\t{\\r\\n\\t\\tthis.policyId = policyId;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4bf6aa5a57efec50ae55a39b07ad28c\",\n \"score\": \"0.6876012\",\n \"text\": \"public String getPolicyId()\\r\\n\\t{\\r\\n\\t\\treturn policyId;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"81efacf2c38bc2c68e2ea9a77ac1f849\",\n \"score\": \"0.6867953\",\n \"text\": \"public Integer getPolicy_id() {\\r\\n\\t\\treturn policy_id;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6f75b207cbe59c0e7d198d13810c6df\",\n \"score\": \"0.66845894\",\n \"text\": \"public java.lang.Long getPolicyId() {\\n return policy_id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e3bfc54c0ef36c3f0e47cbdc863a16f\",\n \"score\": \"0.6680811\",\n \"text\": \"public java.lang.Long getPolicyId() {\\n return policy_id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82100a41d8a9cc0cc0098e60eb3c3c48\",\n \"score\": \"0.6484949\",\n \"text\": \"public String policyId() {\\n return this.policyId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b1b1ed6b979ff78cf028abfa1c6923a\",\n \"score\": \"0.6281953\",\n \"text\": \"public String policyId() {\\n return this.innerProperties() == null ? null : this.innerProperties().policyId();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dcf61f1da9f1be356d780b89d0f057c9\",\n \"score\": \"0.61785537\",\n \"text\": \"public void setLastPolicyId(long last_policy_id) {\\n this.last_policy_id = last_policy_id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"08e02f94e64c0647f9d7483f2e20152b\",\n \"score\": \"0.608288\",\n \"text\": \"public void setSourcePolicyId(String sourcePolicyId) {\\n this.sourcePolicyId = sourcePolicyId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1503e280a6bc4fe984c6513bb377288d\",\n \"score\": \"0.6040713\",\n \"text\": \"public A2ASwitchProtectionInput withPolicyId(String policyId) {\\n this.policyId = policyId;\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a34f38e4c11107cbb71e44d94b2a32f7\",\n \"score\": \"0.6014007\",\n \"text\": \"public void addPolicy(long policy){\\n if(policies == null){\\n policies = new ArrayList<Long>();\\n }\\n policies.add(new Long(policy));\\n this.last_policy_id = policy;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c16b3c58aaa0edb06d7c3e0cf633fe9\",\n \"score\": \"0.59237814\",\n \"text\": \"public Builder setPolicy(\\n java.lang.String value) {\\n if (value == null) {\\n throw new NullPointerException();\\n }\\n bitField0_ |= 0x00000004;\\n policy_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ab3ca0d0edb31e3bd9af85a0ff3974e0\",\n \"score\": \"0.555689\",\n \"text\": \"public void set_policyname(String policyname) throws Exception{\\n\\t\\tthis.policyname = policyname;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e28eac140b99ff19b8c578f625cc105\",\n \"score\": \"0.54975\",\n \"text\": \"@setter(\\\"identifier\\\")\\n\\tpublic void setId(int id)\\n\\t{\\n\\t\\t//TODO [DEBUG]\\n \\tSystem.out.println(\\\"Set my id \\\");\\n \\tthis.id = id;\\n \\tthis.setAttribute(\\\"identifier\\\", id);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3357bd233137620a0ec41cf775491b56\",\n \"score\": \"0.54760635\",\n \"text\": \"public void setPolicyname(java.lang.String policyname) {\\n this.policyname = policyname;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e5f612cecf97176f13d3d90562174eb\",\n \"score\": \"0.54337335\",\n \"text\": \"public JmsDefaultMessageIDPolicy(JmsDefaultMessageIDPolicy source) {\\n this.messageIDBuilder = source.messageIDBuilder;\\n this.messageIDBuilderType = source.messageIDBuilderType;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d4e7e7a4a41e3494f2ce2565b0cdbae\",\n \"score\": \"0.5416108\",\n \"text\": \"@RequestMapping(value = \\\"policies\\\", method = RequestMethod.PUT)\\n public Policy update(@PathVariable Long id, @RequestBody Policy p) {\\n Policy existingPolicy = policyRepository.findOne(id);\\n BeanUtils.copyProperties(p, existingPolicy);\\n //return PolicyStub.update(id, p);\\n return policyRepository.saveAndFlush(existingPolicy);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71327f75c5fb317540ef55f3f0faa036\",\n \"score\": \"0.54093224\",\n \"text\": \"public void setPaymentId(java.lang.String paymentId)\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n org.apache.xmlbeans.SimpleValue target = null;\\n target = (org.apache.xmlbeans.SimpleValue)get_store().find_element_user(PAYMENTID$0, 0);\\n if (target == null)\\n {\\n target = (org.apache.xmlbeans.SimpleValue)get_store().add_element_user(PAYMENTID$0);\\n }\\n target.setStringValue(paymentId);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"734dd79a16f7632023de09298419b9e9\",\n \"score\": \"0.5404399\",\n \"text\": \"public void setId(int pId){\\n this.id = pId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5d8e75f426b06cd0c1a4fef9e0ba83f9\",\n \"score\": \"0.5377156\",\n \"text\": \"public void setId(int value){this._id = value;}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a556aa624f43b89b837a77579b642e0\",\n \"score\": \"0.5344353\",\n \"text\": \"public com.hillstone.network.event.ThreatEvent.Builder clearPolicyId() {\\n fieldSetFlags()[14] = false;\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"76f28b18e54fec9e8208415477058c37\",\n \"score\": \"0.53387344\",\n \"text\": \"public void setPolicyName(String policyName)\\r\\n\\t{\\r\\n\\t\\tthis.policyName = policyName;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b22b2e32c9239af142bb280a964df4f8\",\n \"score\": \"0.532626\",\n \"text\": \"public void setId(Integer pId)\\n {\\n id = pId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22839595630d9dc9851b216143fd4691\",\n \"score\": \"0.53225064\",\n \"text\": \"@Override\\n\\tpublic void setId(long id) {\\n\\t\\t_assetManageReqHandleEntity.setId(id);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b9e30a6840de95b08b39d9712489f762\",\n \"score\": \"0.52984464\",\n \"text\": \"private void setID(gw.pl.persistence.core.Key value) {\\n __getInternalInterface().setFieldValue(ID_PROP.get(), value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"48a193c7fcd6b9acb0f78ee21faad657\",\n \"score\": \"0.5295269\",\n \"text\": \"public void setID(gw.pl.persistence.core.Key value) {\\n __getInternalInterface().setFieldValue(ID_PROP.get(), value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"48a193c7fcd6b9acb0f78ee21faad657\",\n \"score\": \"0.5295269\",\n \"text\": \"public void setID(gw.pl.persistence.core.Key value) {\\n __getInternalInterface().setFieldValue(ID_PROP.get(), value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"36e68400f31b97e05de61b5a065514dc\",\n \"score\": \"0.5291676\",\n \"text\": \"public void setPolicyPeriod(entity.PolicyPeriod value);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aca7fc3f56d7d389876d02453dfa0dcd\",\n \"score\": \"0.5277418\",\n \"text\": \"public void setProposalId(long proposalId);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"41d0a39ba9d884daee34c28f0ede57c1\",\n \"score\": \"0.5272433\",\n \"text\": \"public void setPolicyName(String policyName) {\\n this.policyName = policyName;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80bdce8cf248390fa35da33b7de9574b\",\n \"score\": \"0.52689064\",\n \"text\": \"public void setId(int _id) { this._id = _id; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c56e09d8feb59ffe1e74195ebe9ebf52\",\n \"score\": \"0.5262912\",\n \"text\": \"public void setId(String value)\\n {\\n \\tid = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b14eec085024be904d843eab800bf92\",\n \"score\": \"0.5258111\",\n \"text\": \"public void setId_(Integer id) {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"be8c607127da0adf013faa73892a0bd3\",\n \"score\": \"0.52514887\",\n \"text\": \"public void setId(int value) {\\r\\n this.id = value;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"be8c607127da0adf013faa73892a0bd3\",\n \"score\": \"0.52514887\",\n \"text\": \"public void setId(int value) {\\r\\n this.id = value;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"be75f8a5f4bef4a6831a2b43fdf321f7\",\n \"score\": \"0.5247178\",\n \"text\": \"public void setId(String value) {\\n id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa4c0901ed37a4b193f3478b38724e19\",\n \"score\": \"0.5240288\",\n \"text\": \"public void setId( Long pId )\\r\\n {\\r\\n id = pId;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"06ef185f88e3290a0119a5baa0bd819b\",\n \"score\": \"0.52364665\",\n \"text\": \"public String getPolicyNo() \\n {\\n return this.policyNo;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f706033e53d8591bf05b5ac11170c10a\",\n \"score\": \"0.523594\",\n \"text\": \"public void setEpmApproveId(Number value) {\\n setAttributeInternal(EPMAPPROVEID, value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"51e5dfeede2169b6642c80fddf219b90\",\n \"score\": \"0.5232601\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c65d497c33592f2c0d67dc36dde7d863\",\n \"score\": \"0.5227957\",\n \"text\": \"public String getPolicyNumber(){\\n return this.policyNumber;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"caa83a8cfdd327ac640694bc7b6001c7\",\n \"score\": \"0.52277833\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd941c0fac47c2be665ca9de3bc2951d\",\n \"score\": \"0.5215865\",\n \"text\": \"public void setId(int value) {\\n this.id = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed42ea286a69879e2f953a6aa1d4b90a\",\n \"score\": \"0.5215149\",\n \"text\": \"public void xsetPaymentId(org.apache.xmlbeans.XmlString paymentId)\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n org.apache.xmlbeans.XmlString target = null;\\n target = (org.apache.xmlbeans.XmlString)get_store().find_element_user(PAYMENTID$0, 0);\\n if (target == null)\\n {\\n target = (org.apache.xmlbeans.XmlString)get_store().add_element_user(PAYMENTID$0);\\n }\\n target.set(paymentId);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1fd50c31a8b51041fd65e0a14e98027\",\n \"score\": \"0.52131605\",\n \"text\": \"@Override\\n\\tpublic void setId(long id) {\\n\\t\\t_issuePermissionForTransit.setId(id);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf6d7a819932562db51dfd2aee898883\",\n \"score\": \"0.5208653\",\n \"text\": \"public void setPolicyComponent(PolicyComponent policyComponent)\\n {\\n this.policyComponent = policyComponent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e4a90795eabb85524659b00adebbc178\",\n \"score\": \"0.51839143\",\n \"text\": \"public void setID(int _id) {\\n this.id = _id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0f2bc0d02090a5dab2496d750c0469ce\",\n \"score\": \"0.51825476\",\n \"text\": \"public void setId(String id) {\\r\\n\\t\\t\\t_id = id;\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71211e961b563cf3c876e88126ad559f\",\n \"score\": \"0.51601064\",\n \"text\": \"public String getSourcePolicyId() {\\n return this.sourcePolicyId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4a809ddbbfaaa0266a7172df8e6ca9a0\",\n \"score\": \"0.5158604\",\n \"text\": \"final void setId(int id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f619728f7161d00ff67d5267d34900e\",\n \"score\": \"0.5146268\",\n \"text\": \"public void setId(int id) {\\r\\n \\t\\tthis.id = id;\\r\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12c891349d9acca4945a17ad199834e7\",\n \"score\": \"0.5144476\",\n \"text\": \"public Builder setPIdValue(int value) {\\n pId_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e3e9dee3f04f216cade6954c883c766\",\n \"score\": \"0.5133561\",\n \"text\": \"public final void setId (int id)\\r\\n {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5320c14dad55d8f83858757f991cb65d\",\n \"score\": \"0.5124543\",\n \"text\": \"public void setId(int id)\\n\\t{\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5320c14dad55d8f83858757f991cb65d\",\n \"score\": \"0.5124543\",\n \"text\": \"public void setId(int id)\\n\\t{\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5320c14dad55d8f83858757f991cb65d\",\n \"score\": \"0.5124543\",\n \"text\": \"public void setId(int id)\\n\\t{\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e3402e5e29be5dbf86d0f5bf8810a30\",\n \"score\": \"0.5120998\",\n \"text\": \"public void setId(int id) {\\r\\n\\t\\tthis.id = id;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e3402e5e29be5dbf86d0f5bf8810a30\",\n \"score\": \"0.5120998\",\n \"text\": \"public void setId(int id) {\\r\\n\\t\\tthis.id = id;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e3402e5e29be5dbf86d0f5bf8810a30\",\n \"score\": \"0.5120998\",\n \"text\": \"public void setId(int id) {\\r\\n\\t\\tthis.id = id;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e3402e5e29be5dbf86d0f5bf8810a30\",\n \"score\": \"0.5120998\",\n \"text\": \"public void setId(int id) {\\r\\n\\t\\tthis.id = id;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e3402e5e29be5dbf86d0f5bf8810a30\",\n \"score\": \"0.5120998\",\n \"text\": \"public void setId(int id) {\\r\\n\\t\\tthis.id = id;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e3402e5e29be5dbf86d0f5bf8810a30\",\n \"score\": \"0.5120998\",\n \"text\": \"public void setId(int id) {\\r\\n\\t\\tthis.id = id;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"31fca8f667b9974be450419d8709d486\",\n \"score\": \"0.5119155\",\n \"text\": \"public String getPolicyNo(String policyId) {\\r\\n Logger l = LogUtils.getLogger(getClass());\\r\\n if (l.isLoggable(Level.FINER)) {\\r\\n l.entering(getClass().getName(), \\\"getPolicyNo\\\", new Object[]{policyId,});\\r\\n }\\r\\n\\r\\n Record inputRecord = new Record();\\r\\n inputRecord.setFieldValue(\\\"policyId\\\", policyId);\\r\\n String policyNo = getPolicyDAO().getPolicyNo(inputRecord);\\r\\n\\r\\n if (l.isLoggable(Level.FINER)) {\\r\\n l.exiting(getClass().getName(), \\\"getPolicyNo\\\", policyNo);\\r\\n }\\r\\n return policyNo;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ab17ca223c9aa7615cd5de9dfe79c8b\",\n \"score\": \"0.51188254\",\n \"text\": \"public void setId(int id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ab17ca223c9aa7615cd5de9dfe79c8b\",\n \"score\": \"0.51188254\",\n \"text\": \"public void setId(int id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ab17ca223c9aa7615cd5de9dfe79c8b\",\n \"score\": \"0.51188254\",\n \"text\": \"public void setId(int id)\\n {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa6516b5dc39980184b8d7b5322b4c00\",\n \"score\": \"0.51160043\",\n \"text\": \"public void setId( int id ) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"626c7ff667b7cf66a78d78a38fe2e4ac\",\n \"score\": \"0.5115336\",\n \"text\": \"public void setId(String _id) {\\n\\t getStateHelper().put(PropertyKeys.id, _id);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b5db0ed35fd278f6750989ca95e77353\",\n \"score\": \"0.51141614\",\n \"text\": \"private void setId(String id) {\\n this.id = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a5957ef25551039aaf0753b32af2a27\",\n \"score\": \"0.51063764\",\n \"text\": \"public final void setId(String id) {\\n mid = id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2f9380e950a0be9e1ff591def01e6d9e\",\n \"score\": \"0.5105057\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b95061bb260f4461703189ebd639656\",\n \"score\": \"0.5097422\",\n \"text\": \"public void setId(final ID id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.509627\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.509627\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.509627\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.509627\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"370c89ec4264533d53889698d284f277\",\n \"score\": \"0.509627\",\n \"text\": \"public void setId(int id) {\\r\\n this.id = id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd24430ab1c2e6104868b531582bdec0\",\n \"score\": \"0.50957316\",\n \"text\": \"public void setId(final int id)\\r\\n\\t{\\r\\n\\t\\tthis.id = id;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9c64fbc539baaebc56b1158fef0812f2\",\n \"score\": \"0.5095443\",\n \"text\": \"protected void setId(long id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1e7f55cd673404a2cbd37e7766e4a6\",\n \"score\": \"0.509373\",\n \"text\": \"public void setId(int id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1e7f55cd673404a2cbd37e7766e4a6\",\n \"score\": \"0.509373\",\n \"text\": \"public void setId(int id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1e7f55cd673404a2cbd37e7766e4a6\",\n \"score\": \"0.509373\",\n \"text\": \"public void setId(int id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1e7f55cd673404a2cbd37e7766e4a6\",\n \"score\": \"0.509373\",\n \"text\": \"public void setId(int id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1e7f55cd673404a2cbd37e7766e4a6\",\n \"score\": \"0.509373\",\n \"text\": \"public void setId(int id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1e7f55cd673404a2cbd37e7766e4a6\",\n \"score\": \"0.509373\",\n \"text\": \"public void setId(int id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1e7f55cd673404a2cbd37e7766e4a6\",\n \"score\": \"0.509373\",\n \"text\": \"public void setId(int id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1e7f55cd673404a2cbd37e7766e4a6\",\n \"score\": \"0.509373\",\n \"text\": \"public void setId(int id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1e7f55cd673404a2cbd37e7766e4a6\",\n \"score\": \"0.509373\",\n \"text\": \"public void setId(int id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1e7f55cd673404a2cbd37e7766e4a6\",\n \"score\": \"0.509373\",\n \"text\": \"public void setId(int id) {\\n\\t\\tthis.id = id;\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990993,"cells":{"query_id":{"kind":"string","value":"9c9af405893cb6bdbb52c84caf71c789"},"query":{"kind":"string","value":"print method (Account) override"},"positive_passages":{"kind":"list like","value":[{"docid":"42341f6c275f250ba66a57e18d03f079","score":"0.74257183","text":"@Override\n public String toString(){\n return \"Account holder: \" + this.accountHolder + \"\\tAccount Number: \" + this.number + \"\\tBalance: \" + this.balance;\n }","title":""}],"string":"[\n {\n \"docid\": \"42341f6c275f250ba66a57e18d03f079\",\n \"score\": \"0.74257183\",\n \"text\": \"@Override\\n public String toString(){\\n return \\\"Account holder: \\\" + this.accountHolder + \\\"\\\\tAccount Number: \\\" + this.number + \\\"\\\\tBalance: \\\" + this.balance;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"907464aa31d64a72defc303ee29a6db8","score":"0.7507769","text":"@Test\n\t\n\tpublic void TestPrint() {\n\t\t\n\t\tAccount acc = new Account(\"stasa\",\"24213\");\n\t\tString exp = acc.getNumber() + \"\\t\" + acc.getName() + \"\\t\" + \"0.00\";\n\t\tAssert.assertEquals(acc.toString(), exp);\n\t}","title":""},{"docid":"b293ca8fdf8351956d16b03299d4f5c0","score":"0.74509794","text":"public void accName () {\r\n System.out.println(\"\\n\" + accType + \" Account:\");\r\n }","title":""},{"docid":"7657950317800c411f341c2e2132c270","score":"0.7447027","text":"public void printAccountBalance() {\r\n\t\tSystem.out.println(\"Your account balance is \\\\\" + \r\n\t\t\t\t\t\t\tinsertedStudentCard.getBalance());\r\n\t}","title":""},{"docid":"5910e8825be75ded8f65809749cc7f6c","score":"0.74354506","text":"@Test\n public void printAccount() throws Exception {\n testPrint(\"account-example\", Account.newBuilder());\n testPrint(\"account-example-with-guarantor\", Account.newBuilder());\n }","title":""},{"docid":"970a86640f2a1eab9754d9ab6ec44298","score":"0.7418633","text":"public void print() {\n\t\tSystem.out.println(\"name: \" + getFullName());\n\t\tSystem.out.println(\"age: \" + getAge());\n\t\tSystem.out.println(\"------------------------\");\n\t}","title":""},{"docid":"ef06cb5cb19a9e4ef8784080ca68b173","score":"0.7411203","text":"public void print(Context context, Account account) {\n print(context, account, null);\n }","title":""},{"docid":"519c0a8d6ef8776e7f97a17a277de1aa","score":"0.7399549","text":"@Override\n\t\t\tpublic void print() {\n\t\t\t\t\n\t\t\t}","title":""},{"docid":"519c0a8d6ef8776e7f97a17a277de1aa","score":"0.7399549","text":"@Override\n\t\t\tpublic void print() {\n\t\t\t\t\n\t\t\t}","title":""},{"docid":"3156c8b20f21938d41ba704e1443e280","score":"0.73519504","text":"public String toString()\r\n\t {\r\n\t\t return \"Account holder: \"+name+\"\\nAccount number: \"+acctNum+\"\\nBalance: \"+balance+\"\\n\";\r\n\t }","title":""},{"docid":"d33d68a0a10b2fb7c5cf40a8c84c85c5","score":"0.73367786","text":"public void print()\n {\n System.out.println(getName() + \", student ID: \" + getStudentID() + \", credits: \" + this.credits);\n }","title":""},{"docid":"27232288e9408ae519bc4e4b06516c98","score":"0.7281394","text":"public void displayAccount() {\n\t\t\n\t\t// call find account method\n\t\tint account = findAccount();\n\t\t\n\t\t// prints the account\n\t\tif (account == -1) {\n\t\t\tSystem.out.println(\"This account does not exist.\");\n\t\t} else {\n\t\t\tSystem.out.println(accounts[account].toString());\n\t\t}\n\t}","title":""},{"docid":"98f3d7cfa65113a05174405bf1c79a52","score":"0.72587","text":"private void printAccountDetails(Account acc) {\n System.out.println(\"-----ACCOUNT REPORT-----\");\n System.out.printf(\"Phone Number: %s%n\", acc.getPhoneNum());\n // Print the user details for the report.\n support.firePropertyChange(ACCOUNT + PROPERTY_CHANGE_SCOPE_DELIMITER + DISPLAY, acc.getUser(), USER);\n // Print the bundle details for the report.\n support.firePropertyChange(ACCOUNT + PROPERTY_CHANGE_SCOPE_DELIMITER + DISPLAY, acc.getBundle(), BUNDLE);\n System.out.println();\n }","title":""},{"docid":"b22169f864e1c10c16fbafda87d1c2e8","score":"0.7252175","text":"public void printAccounts() {\n\t\tif (this.size <= 0) {\n\t\t\tSystem.out.println(\"Database is empty.\");\n\t\t\treturn;\n\t\t}\n\t\tSystem.out.println(\"--Listing accounts in the database--\");\n\t\tfor (int i = 0; i < this.size; ++i) {\n\t\t\tSystem.out.println(this.accounts[i].toString());\n\t\t}\n\t\tSystem.out.println(\"--end of listing--\");\n\t}","title":""},{"docid":"a0c5bd20d4ee94d42af32bc300de7e35","score":"0.7173643","text":"public void printAccountsByName() {\n\tfunds_name.inOrderPrint();\n}","title":""},{"docid":"60416af9018afa832da447908bf2aca8","score":"0.7127064","text":"public void printStatement(){\n\n System.out.print(getAccountType()+\" \"+this.ownerName+\" \"+\" Interest Earned\\t \");\n System.out.printf(\"%1.2f\\t\", getInterest());\n System.out.print(\" Current balance \");\n System.out.printf(\"%10.2f\",getCurrentBalance());\n\n\n }","title":""},{"docid":"f76a57efb5c32106f611450c89fb3458","score":"0.708899","text":"public void Print()\n\t{\n\t\tSystem.out.println(\"id : \"+ this.id);\n\t\tSystem.out.println(\"name : \"+ this.name);\n\t\tSystem.out.println(\"gender : \"+ this.gender);\n\t\tSystem.out.println(\"address : \"+ this.address);\n\t\tSystem.out.println(\"------------------------------\");\n\t}","title":""},{"docid":"f48896db951a51cc6b0744efcaf780d9","score":"0.70764285","text":"public String showAccount(){\n return \"\" +\n \"ID: \" + accountID + \"\\n\" +\n \"Handle: \"+ handle + \"\\n\" + \n \"Description: \" + description + \"\\n\" +\n \"Post count: \" + postCount + \"\\n\" +\n \"Endorse count: \" + endorseCount + \"\\n\";\n }","title":""},{"docid":"71d559d44366e3bc35350c031d077929","score":"0.70625776","text":"@Override\n\tpublic void print() {\n\n\t}","title":""},{"docid":"71d559d44366e3bc35350c031d077929","score":"0.70625776","text":"@Override\n\tpublic void print() {\n\n\t}","title":""},{"docid":"71d559d44366e3bc35350c031d077929","score":"0.70625776","text":"@Override\n\tpublic void print() {\n\n\t}","title":""},{"docid":"b6042922b77c57d279cf6090974275cb","score":"0.70609075","text":"public void print() {\n\t\tSystem.out.println(\"name: \" + name + \" address: \" + address + \" phone no: \" + phoneNum + \" city: \" + city\n\t\t\t\t+ \" state: \" + state + \" zip: \" + zip + \" email: \" + email);\n\t}","title":""},{"docid":"39750ec37b38c9cc333e9fec7dfa78ff","score":"0.70381117","text":"@Override\n\tpublic void print() {\n\t\t\n\t}","title":""},{"docid":"39750ec37b38c9cc333e9fec7dfa78ff","score":"0.70381117","text":"@Override\n\tpublic void print() {\n\t\t\n\t}","title":""},{"docid":"ae7bb37cffd4d96ec04fb38c236222de","score":"0.70350146","text":"private void printPerson() {\n\t\t\n\t}","title":""},{"docid":"828591e4477806bd3260d7327a25796c","score":"0.70209855","text":"@Override\n public String toString() {\n return print;\n }","title":""},{"docid":"c95059af618ded6ea3e06e8514e4ac8a","score":"0.7008884","text":"public void print(){\n\t\tSystem.out.println(this.id);\n\t\tSystem.out.println(name); // Internally compiler will inject this.name\n\t\tSystem.out.println(salary);\n\t}","title":""},{"docid":"13605bbff033772cc98d1035904d241e","score":"0.69977725","text":"public void print() {\n System.out.println(\"====================================\");\n System.out.println(\" Direction: \" + this.directionType.toString());\n System.out.println(\"====================================\");\n System.out.println(\"ID: \" + this.id);\n System.out.println(\"From: \" + this.from.name());\n System.out.println(\"To: \" + this.to.name());\n System.out.println(\"Locked? : \" + this.isLocked);\n System.out.println(\"Lock Pattern: \" + this.lockPattern + \"\\n\");\n }","title":""},{"docid":"2e6dd94e2bde53b2c4dce99e3b841c0e","score":"0.69661117","text":"@Override\r\n\tpublic String toString() {\r\n\t\treturn \"BankAccount [accId=\" + accId + \", accHolderName=\"\r\n\t\t\t\t+ accHolderName + \", curBal=\" + curBal \r\n\t\t\t\t+\"Bank Name \t\t: \"+bankName+\"]\";\r\n\t}","title":""},{"docid":"961d5f71f996b103cbae5e8c208603d1","score":"0.69651544","text":"@Override\n\tpublic String toString() {\n\t\treturn \"Account [nome=\" + nome + \", cognome=\" + cognome + \", password=\" + password + \", email=\" + email\n\t\t\t\t+ \", ruolo=\" + ruolo + \"]\";\n\t}","title":""},{"docid":"3bb59333b2356d4cdb432dfbddf1646e","score":"0.6959363","text":"public String toString(){\n return \"account\";\n }","title":""},{"docid":"d604303c33c0ecf1aac2083279bdce83","score":"0.69373447","text":"@Override\n\t\t\tpublic String toString(){\n\t\t\t\t\n\t\t\t\treturn \"[\" + name + \" .\" + accountNumber + \" . Balance: $ \" + balance + \"] \";\n\t\t\t}","title":""},{"docid":"1724dd63efb431bdbbdd42ed5248994c","score":"0.69336414","text":"@Override\r\n\tpublic void print() {\n\r\n\t}","title":""},{"docid":"9dcbcfe10375292c66c792e8e2927700","score":"0.69335675","text":"public void printAccountsSummary() {\r\n\t\t\r\n\t\tSystem.out.printf(\"\\n\\n%s's accounts summary\\n\", this.fName);\r\n\t\tfor (int a = 0; a < this.accounts.size(); a++) {\r\n\t\t\tSystem.out.printf(\"%d) %s\\n\", a+1, \r\n\t\t\t\t\tthis.accounts.get(a).fetchSummaryLine());\r\n\t\t}\r\n\t\tSystem.out.println();\r\n\t\t\r\n\t}","title":""},{"docid":"206c891ad6b3caa62f38cbe08c26daad","score":"0.6920061","text":"public String toString() {\n return (\"Account #\" + id);\n }","title":""},{"docid":"d90d0f6c9b5ed22013b2e0d974a9c849","score":"0.6917985","text":"public void print()\n\t{\n\t\tSystem.out.println(\"id= \"+id);\n\t\tSystem.out.println(\"name= \"+name);\n\t\tSystem.out.println(\"address= \"+address);\n\t\tSystem.out.println(\"mobno= \"+mobno);\n\t}","title":""},{"docid":"c2ede172c6d8dea109b30e36de7c468c","score":"0.6909112","text":"public void print() {\n\t\tSystem.out.println(Affiliates.divider2);\n\t\tSystem.out.println(\"Information about the Full time professor with ID: \" + getId());\n\t\tSystem.out.println(Affiliates.divider3);\n\t\tsuper.print();\n\t\tSystem.out.println(\"Years until retirement: \" + yearsUntilRetirement);\n\t\tSystem.out.println(Affiliates.divider2);\n\t}","title":""},{"docid":"38cc0e7ba5c2608fa260345d45ab1c5c","score":"0.6878639","text":"public void print() {\n\t\tSystem.out.println(\"ID: \" + this.id);\n\t\tSystem.out.println(\"Name: \" + this.name);\n\t\tSystem.out.println(\"Beschreibung: \" + this.description);\n\t\tSystem.out.println(\"Alter: \" + this.age);\n\t\tSystem.out.println(\"Energie: \" + this.energy);\n\t\tSystem.out.println(\"Erfahrungspunkte: \" + this.experiencePoints);\n\t\tif(this.exists)\n\t\t\tSystem.out.println(\"Raumschiffe Situation: Lebendig\");\n\t\telse \n\t\t\tSystem.out.println(\"Raumschiffe Situation: Zerstört\");\n\t}","title":""},{"docid":"282d56ebf2eaae42eeef5ceef699ee7e","score":"0.6865602","text":"public String toString() {\n String output = \"BankAccount[owner: \" + getAccountHolderName() +\n \", balance: \" + String.format(\"%.2f\", getBalance()) +\n \", interest rate: \" + String.format(\"%.2f\", myInterestRate) +\n \"\\n\\tnumber of withdrawals this month: \" + myMonthlyWithdrawCount +\n \", service charges for this month: \" +\n String.format(\"%.2f\", myMonthlyServiceCharges) + \"]\";\n\n return output;\n }","title":""},{"docid":"2cdd4aefebd3cdecb87b41164991f5b2","score":"0.6864703","text":"public final void print() {\n\t\tSystem.out.println( toString() ); \r\n\t}","title":""},{"docid":"83f0e28da555c765e2870f2845574e7c","score":"0.68596584","text":"public void printAccountDetails() {\n try {\n statement = ConnectionManager.connection.createStatement();\n statement.execute(\"SELECT * FROM Accounts ORDER BY id ASC\");\n ResultSet results = statement.getResultSet();\n System.out.println(\"\\n\");\n while (results.next()) {\n\n System.out.println(\"+--------------------------+\");\n System.out.println(\"| Account ID: \" + results.getInt(\"id\") + \"\\n\" +\n \"| Account Number: \" + results.getInt(\"accountNumber\") + \"\\n\" +\n \"| Sort Code: \" + results.getInt(\"sortCode\")+ \"\\n\" +\n \"| Account Balance: £\" + results.getString(\"balance\"));\n System.out.println(\"+--------------------------+\");\n\n }\n statement.close();\n }\n catch (SQLException e) {\n System.out.println(\"Unable to get data from database.\");\n e.printStackTrace();\n }\n Options.again();\n }","title":""},{"docid":"38e5ee386033d68d8e8e715ecccfff44","score":"0.68526065","text":"public String toString() {\n return String.format(\"Account ID: %s. Account type: %s. Current Balance: %.2f%s.\",\n this.getId(), this.getType(), this.getBalance(), this.moneyType);\n }","title":""},{"docid":"0f5d5fcefdd3dc55eaac0124c49f8be5","score":"0.6851808","text":"public final void testPrint() {\n\t\tSystem.out.print(\"Account Balance:$\" + account.getBalance());\n\t\tSystem.out.print(\"Monthly Interest: \"\n\t\t\t\t+ account.getMonthlyInterestRate() + \"%\");\n\t\tSystem.out.print(\"Your account was created on: \" + account.getDateCreated());\n\t\tassertEquals(\"Account Balance: $20000\", \"Balance:$\" + account.getBalance());\n\t\tassertEquals(\"Monthly Interest: .375%\", \"Monthly Interest Rate: \"\n\t\t\t\t+ account.getMonthlyInterestRate() + \"%\");\n\t\tassertEquals(\"Account created on:\" + account.getDateCreated(),\n\t\t\t\t\"Account created on: \" + account.getDateCreated());\n\t}","title":""},{"docid":"26d7f2b886b54b9c36aa7e30094ed03f","score":"0.6838244","text":"public String toString(){\n\t\tString toReturn = \"\"; // make a new string to return\n\t\t\n\t\ttoReturn += \"Bank Account for: \"+getLastName() + \", \"+getFirstName() + \"\\n\";\n\t\tint length = toReturn.length();\n\t\tfor ( int i = 0; i < length; i++)\n\t\t\ttoReturn+=\"-\";\n\t\ttoReturn += \"\\n\";\n\t\ttoReturn += \"\\tBalance for Account is: $\"+moneyForm.format(getBalance());\n\t\n\t\treturn toReturn;\t\n\t}","title":""},{"docid":"8382857da13e7ae417c52e6dcded973c","score":"0.68311363","text":"public void summary() {\n for (Account account : accounts) {\n System.out.println(account.toString());\n }\n }","title":""},{"docid":"94ea19dc40d2b2c11b73ed19624a74a6","score":"0.68260366","text":"private static void print() {\n\t\t\r\n\t}","title":""},{"docid":"704799310900e42625163a505137e066","score":"0.68102443","text":"@Override public String toString() {\n\tDecimalFormat df = new DecimalFormat(\"###,###,###.00\");\n return \"Name: \" + this.firstName + \" \" + this.lastName\n\t\t + \"\\nAccount Number: \" + this.accountNum\n\t\t + \"\\nTotal Cash: $\" + df.format(this.cash);\n}","title":""},{"docid":"8a3eb373c684a990d64ef9409968cfde","score":"0.6787502","text":"public String toString() {\n\t\treturn \"SavingsAccount [accID=\" + this.getAccID() + \", client=\" + this.getHolder() + \", money=\" + money + \", typeOfAccount=\"\r\n\t\t\t\t+ this.getTypeOfAccount() + \", interestRate = \" + this.interestRate + \" ]\";\r\n\t}","title":""},{"docid":"4e70debe2466b31315d39a3a2b6b2a0e","score":"0.6785769","text":"public String toString() {\n\t\tString accountString;\n\t\tNumberFormat money = NumberFormat.getCurrencyInstance();\n\t\taccountString = cust.toString();\n\t\taccountString += \"Current balance is \" + money.format(balance);\n\t\treturn (accountString);\n\t}","title":""},{"docid":"4e70debe2466b31315d39a3a2b6b2a0e","score":"0.6785769","text":"public String toString() {\n\t\tString accountString;\n\t\tNumberFormat money = NumberFormat.getCurrencyInstance();\n\t\taccountString = cust.toString();\n\t\taccountString += \"Current balance is \" + money.format(balance);\n\t\treturn (accountString);\n\t}","title":""},{"docid":"64721e569fe6bb4f47d880271bedd7c5","score":"0.6781478","text":"@Override\n public String toString() {\n DecimalFormat df2 = new DecimalFormat(\"0.00\");\n return \"Username: \" + userName + \"\\n\" + \"Balance: $\" + df2.format(balance) + \"\\n\";\n }","title":""},{"docid":"aad3ef374ac4536f21a22a5be54946fd","score":"0.67612094","text":"private void printAvailableBalances(Account acc) {\n\t\tSystem.out.println(\"Your accounts are:\");\n\t\tfor(Balance b : acc.balances)\n\t\t\tSystem.out.print(b.currencyString()+\"\\t\\t\");\n\t}","title":""},{"docid":"3af5dae26afbcbeb7aa5b7fe68996476","score":"0.67600656","text":"public void print(){\n System.out.println(\"Thong tin nhan vien\");\n System.out.println(\"id = \" + id);\n System.out.println(\"ten = \"+ name);\n System.out.println(\"chuc vu = \"+position);\n System.out.println(\"luong cb = \" + salary);\n }","title":""},{"docid":"e86ad19a589bbbbfaa4f94ce2c90f5b2","score":"0.6744502","text":"public String print(){\n return String.format(\"%s was born on %s. Their current age is %d.\", this.name, this.dob.print(),\n getAge(new Date(27, 01, 2020)));\n }","title":""},{"docid":"1553e5a17e772c3d0fa9436ecd9b7532","score":"0.6740547","text":"public void print() {\n\t\tSystem.out.println(\"Roll No is : \"+iRollNo);\r\n\t\tSystem.out.println(\"Name is : \"+sName);\r\n\t\tSystem.out.println(\"Batch is : \"+sBatch);\r\n\t\tSystem.out.println(\"Page Value is : \"+iPage);\r\n\t\t//this.display();\r\n\t}","title":""},{"docid":"0694ed51de013e203cccadc5dfe685f3","score":"0.67361236","text":"public String toString(){\n String result = \"\";\n result += \" Account Owners: \" + owners + \", Bank Name: \" + bankName + \"\\n\";\n result += \" Account Name: \" + accountName + \"\\n\";\n //result += \" Transfers: \" + transfer +\n result += \" Account Balance: \" + balance + \"\\n\";\n return result;\n }","title":""},{"docid":"920480740a014ab16619547894a6a875","score":"0.67341036","text":"public void printAccountsByValue() {\n\tfunds_value.inOrderPrint();\n\n}","title":""},{"docid":"498d868ad96bfed6bef63627d5a2df44","score":"0.6732445","text":"public void print() {\n System.out.println(\"bond \" + this.ID + \" \" + this.a1.getID() + \" \" + this.a2.getID() + \" \" + order);\n }","title":""},{"docid":"1ff92be7ab7e31ae7c9db24656114938","score":"0.6715556","text":"public void print() {\n\t}","title":""},{"docid":"6a43804bc57df402de2efe5c37b55e9e","score":"0.6705664","text":"private static void print() {\n\t\t\n\t}","title":""},{"docid":"1fadeace3689fb8836dc52778c1b47c8","score":"0.670437","text":"public String toString()\n {\n\treturn \"Name: \" + name +\n\t \"\\nAcct #: \" + acctNum +\n\t \"\\nBalance: \" + balance;\n }","title":""},{"docid":"86a25cb2d556fc94f943e0547ef5333c","score":"0.6701921","text":"public void print() \r\n {\r\n System.out.println(toString());\r\n }","title":""},{"docid":"728f019c59924fb35f778e0ddc418540","score":"0.6700969","text":"private int printBalanceOfCustomer(Account account) {\n return account.getBalance();\n }","title":""},{"docid":"33188a4ae3fd7a628cde22c1f4552603","score":"0.6695859","text":"public String toString() {\n\n\t\t// create String and initialize with CheckingAccount information\n\t\tString checkingAccountString = \"Account Type:\\tC\\tAccount \"\n\t\t\t\t+ \"Number:\\t\" + getNumber() + \"\\tAccountOwner:\\t\"\n\t\t\t\t+ getOwner() + \"\\tDate Opened:\\t\"\n\t\t\t\t+ getDateOpenedString() + \"\\tAccount Balance:\\t\"\n\t\t\t\t+ getBalance() + \"\\tMonthly Fee:\\t\" + getMonthlyFee();\n\n\t\t// return checkingAccountString\n\t\treturn checkingAccountString;\n\t}","title":""},{"docid":"03f0727f9d74d792522c90406c48ec98","score":"0.6682426","text":"@Override\n public String toString() {\n return balance + \": \" + super.toString();\n }","title":""},{"docid":"74e08ea81cbb88ef0d1b657ac1572c2a","score":"0.6679521","text":"public void printStatement() {\n System.out.println(\"Statement for \" + this);\n log.printTo(System.out);\n System.out.println(\"Current balance: \" + balance);\n System.out.println();\n log.clear();\n }","title":""},{"docid":"7e4c58cc8bce884ca2819f3ab953ddca","score":"0.6663852","text":"@Override\r\n\tpublic String toString()\r\n\t{\r\n\t\tString balanceFormatted = String.format(\"%.2f\",balance);\r\n\t\tString AnnualInterestRateFormatted = String.format(\"%.2f\",annualInterestRate);\r\n\t\treturn \"Account ID: \" + accountId + \"\\nBalance: \" + balanceFormatted +\r\n\t\t\t\t\"\\nAnnual Interest Rate: \" + AnnualInterestRateFormatted + \r\n\t\t\t\t\"\\nDate created: \" + date;\r\n\t}","title":""},{"docid":"2468fcb69f16f19d8c8e6baa441ae544","score":"0.66448885","text":"public void print(){\r\n\t\tSystem.out.println(\"Type: \"+this.Type);\r\n\t\tSystem.out.println(\"Name: \"+this.name);\r\n\t\tSystem.out.println(\"Description: \"+this.description);\r\n\t\tSystem.out.printf(\"$%.2f\\n\", this.price);\r\n\t\tSystem.out.println();\r\n\t}","title":""},{"docid":"24366bb960822a1e4133bf37df364b9f","score":"0.6636043","text":"public String print() {\n\t\treturn \"ID: \" + fieldID + \"\\t\\tfieldName: \" + fieldName + \"\\tNumber of passes: \" + passNum\n\t\t\t\t+ \"\\tNumber of ranges: \" + rangeNum;\n\t}","title":""},{"docid":"614f43f09526fc990cf7535d632513d2","score":"0.6629793","text":"public void print() {\n }","title":""},{"docid":"6bc941fc80afe2cf181daea5648736aa","score":"0.6619527","text":"@Override\n public void print() {\n return;\n }","title":""},{"docid":"f47ce9e1e739f863fb8480a80c59879b","score":"0.6612777","text":"public String toString()\n {\n String output;\n output = \"(Account Id: \" + getAccountId() + \" TransNum: \" + getTransNum() + \" TransType: \" + getTransType() + \" ):(Withdrawal) Amount: \" + getAmount() + \" Fee: \" + getFee() + \" Balance: \" + getBalance();\n return output;\n }","title":""},{"docid":"f1ba4e558334d1f9cd852f73ae2352cc","score":"0.6607668","text":"public void print()\n {\n\tprint(null,null);\n }","title":""},{"docid":"a1d3dcf6536a2a7dcba3cbd06f20e934","score":"0.6602108","text":"private void print()\n {\n }","title":""},{"docid":"8f387f4ec65fdef9b92fd11b3f5a903f","score":"0.65774596","text":"public void printPerson(person per){\n System.out.println(\"\\nName: \" + per.getName() +\n \"\\nFather Name: \" + per.getFatherName() +\n \"\\nOrganization: \" + per.getOrganization() +\n \"\\nMobile: \" + per.getMobile() +\n \"\\nUsername: \" + per.getUsername() +\n \"\\nPassword: \" + per.getPassword() + \"\\n\\n\");\n }","title":""},{"docid":"ef8739954d637054a611b3a3e4a709c5","score":"0.6575987","text":"@Override\n public String toString() {\n System.out.println(cuentaBancaria+\" \"+fecha+\" \"+ moneda+\" \"\n +monto+\" \"+tipoDeposito+\" \"+conceptoDeposito+\" \"+referencia+\" \"\n +lineaDeCaptura+\" \"+unidadDeNegocio+\" \"+proyecto+\" \"+cliente+\" \"\n +nCuenta);\n return super.toString();\n }","title":""},{"docid":"96660ca4790c33c7222456dda412ff34","score":"0.6568707","text":"public void print(){\n\t\t\t\n\t\t\tSystem.out.println(\"This Number: \"+ this.id+\" \"+ this.data);\n\t\t}","title":""},{"docid":"dd5f4f0a7466df35bf15eca38face7b0","score":"0.6565533","text":"public void print() {\n\t\tSystem.out.println(this.getFrom().getName() + \" - \" + this.getTo().getName() + \" : \" + this.getWeight());\n\t}","title":""},{"docid":"aefb5c0cc1c486268c184e68ae7ab8f3","score":"0.6561728","text":"public String printUser() {\n\t\treturn currentuser.print_info();\n\t}","title":""},{"docid":"2e7b27d8afd54dc0d3e30db3711bb9b9","score":"0.65601194","text":"public void print() { System.out.print(toString()); }","title":""},{"docid":"d246b53e98d9cbfe9f026a5282a6a6c0","score":"0.655724","text":"public String toString() {\r\n \tString output = this.cash + \" \" + this.name + \" \";\r\n \treturn output;\r\n }","title":""},{"docid":"4a4fc4358a341332ab70154646ccf129","score":"0.6553259","text":"void print() {\n\t\tint indent = getDepth() * degree * 3 + (1 - getLevelKeyNumber() / getMaxLevelKeyNumber()) * 3;\n\n\t\tfor (int i = 0; i < indent; i++) {\n\t\t\tSystem.out.print(\" \");\n\t\t}\n\t\tprintLevel();\n\t\tif (ptrs[0] != null)\n\t\t\tptrs[0].print();\n\t}","title":""},{"docid":"ac98da9817f113a4200ba283bace98a8","score":"0.65529317","text":"public String toString(Account account) {\n if (account != null) {\n return account.getName();\n } else {\n return \"\";\n }\n }","title":""},{"docid":"a6749e57b4b41e9c99dd2f9c0de7361b","score":"0.65450865","text":"public void print()\r\n {\r\n\t for(int i=0; i<numMembers; i++)\r\n\t {\r\n\t\t System.out.println(team[i].toString());\r\n\t }\r\n }","title":""},{"docid":"a47681323127c457c651c488627ec152","score":"0.65224725","text":"public void printAccountInfo(){\n System.out.printf(\"%-27s%8.2f %-12s %1.2f\\n\", (accountNum)+\" \"+(customerName), balance,\"Monthly fee:\"+\" $\",monthlyFee);\n}","title":""},{"docid":"ac73c574bc1d1845efbc4bb8615ef643","score":"0.65096325","text":"@Override\r\n\tpublic String toString() {\r\n\t\ttry {\r\n\t\t\tif (StringFunctions\r\n\t\t\t\t\t.isNullOrEmpty(this.account.getAdmissionNumber()))\r\n\t\t\t\treturn \"\";\r\n\t\t\tif(StringFunctions.isNullOrEmpty(this.account.getPerson().getFirstName()))\r\n\t\t\t\treturn \"\";\r\n\t\t\t\r\n\t\t\tStringBuffer buffer = new StringBuffer(STRING_BUFFER_SIZE);\r\n\t\t\tbuffer.append(getId()).append(\" \");\r\n\t\t\tbuffer.append(account).append(\" \");\r\n\t\t\treturn buffer.toString();\r\n\t\t} catch (Exception ex) {\r\n\t\t\treturn \"\";\r\n\t\t}\r\n\t}","title":""},{"docid":"b646b8e27df12a6bb4a5d31d85a5dac0","score":"0.6504817","text":"public String toString() {\n\t\treturn \"Balance in account: \" + String.format(\"%.2f\", balance);\n\t}","title":""},{"docid":"5ae350d9154b27af54f6516df6e9673e","score":"0.6502101","text":"@Override\n\tpublic void printInfo()\n\t{\n\t\t\n\t}","title":""},{"docid":"c4dfec92aa509a54a7504c43abc265e5","score":"0.64932925","text":"public void print() {\r\n\t\tSystem.out.println(number + \" of \" + suit);\r\n\t}","title":""},{"docid":"1bffd1fefb7ef13b3cccac1c21fa737f","score":"0.649206","text":"public void print();","title":""},{"docid":"1bffd1fefb7ef13b3cccac1c21fa737f","score":"0.649206","text":"public void print();","title":""},{"docid":"1bffd1fefb7ef13b3cccac1c21fa737f","score":"0.649206","text":"public void print();","title":""},{"docid":"1bffd1fefb7ef13b3cccac1c21fa737f","score":"0.649206","text":"public void print();","title":""},{"docid":"1bffd1fefb7ef13b3cccac1c21fa737f","score":"0.649206","text":"public void print();","title":""},{"docid":"5db889ae8349ac3cfab69794b291c162","score":"0.6483981","text":"public void printInfo() {\n\t\tSystem.out.println(first_name + \" \" + last_name\n\t+ \"\\n\" + classification\n\t+ \"\\n\" + email\n\t+ \"\\n\" + phone\n\t+ \"\\n\" + major\n\t+ \"\\n\" + reshall);\n\t}","title":""},{"docid":"5627383d0160e594d43c97f72314d9bb","score":"0.64768124","text":"@Override\n\tpublic void print() \n\t{\n\t\tString department = \"Unknown\";\n\t\tif (dept == ADMIN)\n\t\t\tdepartment = \"Administration\";\n\t\telse if (dept == EDITORIAL)\n\t\t\tdepartment = \"Editorial\";\n\t\telse if (dept == MARKETING)\n\t\t\tdepartment = \"Marketing\";\n\t\tSystem.out.println(firstName + \" \" + lastName + \" (\" + department + \")\");\n\t}","title":""},{"docid":"6d5019babd2e360f98721e908091c494","score":"0.6443074","text":"@Override\r\n\t\tpublic void print(Object obj) throws IOException {\n\t\t\t\r\n\t\t}","title":""},{"docid":"0eee2002ce2f35e4b7904bdd9017c83e","score":"0.6432516","text":"@Override\r\n\tpublic String toString() {\r\n\t\treturn super.getFirstName() + \",\" + super.getLastName() + \",\" + super.getId() + \",\" + super.getEmail()\r\n\t\t\t\t+ \",\" + super.getPassword() + \",\" + maxCredits;\r\n\t}","title":""},{"docid":"d6914aeecdc15b54e7fb019f2a1e23b9","score":"0.6432066","text":"public void printInfo() // method\n\t{\n\t\tout.println(\"\\nEMPLOYEE INFOMRMATION\");\n\t\tout.println(\"FIRST NAME: \"+this.m_fName);\n\t\tout.println(\"LAST NAME: \"+this.m_lName);\n\t\tout.println(\"SALARY: \"+this.m_salary);\n\t}","title":""},{"docid":"6747a54636f9b6df08c27ba4ace7ccc1","score":"0.6424565","text":"@Override\n public void print()\n {\n this.print(1);\n }","title":""},{"docid":"ac247b1eac52485c492060340aaa4501","score":"0.6409857","text":"public void printing() {\n\t\tSystem.out.println(pro);\n\t\tSystem.out.println(nomod);\n\t\tSystem.out.println(pub);\n\t}","title":""}],"string":"[\n {\n \"docid\": \"907464aa31d64a72defc303ee29a6db8\",\n \"score\": \"0.7507769\",\n \"text\": \"@Test\\n\\t\\n\\tpublic void TestPrint() {\\n\\t\\t\\n\\t\\tAccount acc = new Account(\\\"stasa\\\",\\\"24213\\\");\\n\\t\\tString exp = acc.getNumber() + \\\"\\\\t\\\" + acc.getName() + \\\"\\\\t\\\" + \\\"0.00\\\";\\n\\t\\tAssert.assertEquals(acc.toString(), exp);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b293ca8fdf8351956d16b03299d4f5c0\",\n \"score\": \"0.74509794\",\n \"text\": \"public void accName () {\\r\\n System.out.println(\\\"\\\\n\\\" + accType + \\\" Account:\\\");\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7657950317800c411f341c2e2132c270\",\n \"score\": \"0.7447027\",\n \"text\": \"public void printAccountBalance() {\\r\\n\\t\\tSystem.out.println(\\\"Your account balance is \\\\\\\\\\\" + \\r\\n\\t\\t\\t\\t\\t\\t\\tinsertedStudentCard.getBalance());\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5910e8825be75ded8f65809749cc7f6c\",\n \"score\": \"0.74354506\",\n \"text\": \"@Test\\n public void printAccount() throws Exception {\\n testPrint(\\\"account-example\\\", Account.newBuilder());\\n testPrint(\\\"account-example-with-guarantor\\\", Account.newBuilder());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"970a86640f2a1eab9754d9ab6ec44298\",\n \"score\": \"0.7418633\",\n \"text\": \"public void print() {\\n\\t\\tSystem.out.println(\\\"name: \\\" + getFullName());\\n\\t\\tSystem.out.println(\\\"age: \\\" + getAge());\\n\\t\\tSystem.out.println(\\\"------------------------\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef06cb5cb19a9e4ef8784080ca68b173\",\n \"score\": \"0.7411203\",\n \"text\": \"public void print(Context context, Account account) {\\n print(context, account, null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"519c0a8d6ef8776e7f97a17a277de1aa\",\n \"score\": \"0.7399549\",\n \"text\": \"@Override\\n\\t\\t\\tpublic void print() {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"519c0a8d6ef8776e7f97a17a277de1aa\",\n \"score\": \"0.7399549\",\n \"text\": \"@Override\\n\\t\\t\\tpublic void print() {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3156c8b20f21938d41ba704e1443e280\",\n \"score\": \"0.73519504\",\n \"text\": \"public String toString()\\r\\n\\t {\\r\\n\\t\\t return \\\"Account holder: \\\"+name+\\\"\\\\nAccount number: \\\"+acctNum+\\\"\\\\nBalance: \\\"+balance+\\\"\\\\n\\\";\\r\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d33d68a0a10b2fb7c5cf40a8c84c85c5\",\n \"score\": \"0.73367786\",\n \"text\": \"public void print()\\n {\\n System.out.println(getName() + \\\", student ID: \\\" + getStudentID() + \\\", credits: \\\" + this.credits);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"27232288e9408ae519bc4e4b06516c98\",\n \"score\": \"0.7281394\",\n \"text\": \"public void displayAccount() {\\n\\t\\t\\n\\t\\t// call find account method\\n\\t\\tint account = findAccount();\\n\\t\\t\\n\\t\\t// prints the account\\n\\t\\tif (account == -1) {\\n\\t\\t\\tSystem.out.println(\\\"This account does not exist.\\\");\\n\\t\\t} else {\\n\\t\\t\\tSystem.out.println(accounts[account].toString());\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"98f3d7cfa65113a05174405bf1c79a52\",\n \"score\": \"0.72587\",\n \"text\": \"private void printAccountDetails(Account acc) {\\n System.out.println(\\\"-----ACCOUNT REPORT-----\\\");\\n System.out.printf(\\\"Phone Number: %s%n\\\", acc.getPhoneNum());\\n // Print the user details for the report.\\n support.firePropertyChange(ACCOUNT + PROPERTY_CHANGE_SCOPE_DELIMITER + DISPLAY, acc.getUser(), USER);\\n // Print the bundle details for the report.\\n support.firePropertyChange(ACCOUNT + PROPERTY_CHANGE_SCOPE_DELIMITER + DISPLAY, acc.getBundle(), BUNDLE);\\n System.out.println();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b22169f864e1c10c16fbafda87d1c2e8\",\n \"score\": \"0.7252175\",\n \"text\": \"public void printAccounts() {\\n\\t\\tif (this.size <= 0) {\\n\\t\\t\\tSystem.out.println(\\\"Database is empty.\\\");\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tSystem.out.println(\\\"--Listing accounts in the database--\\\");\\n\\t\\tfor (int i = 0; i < this.size; ++i) {\\n\\t\\t\\tSystem.out.println(this.accounts[i].toString());\\n\\t\\t}\\n\\t\\tSystem.out.println(\\\"--end of listing--\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a0c5bd20d4ee94d42af32bc300de7e35\",\n \"score\": \"0.7173643\",\n \"text\": \"public void printAccountsByName() {\\n\\tfunds_name.inOrderPrint();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60416af9018afa832da447908bf2aca8\",\n \"score\": \"0.7127064\",\n \"text\": \"public void printStatement(){\\n\\n System.out.print(getAccountType()+\\\" \\\"+this.ownerName+\\\" \\\"+\\\" Interest Earned\\\\t \\\");\\n System.out.printf(\\\"%1.2f\\\\t\\\", getInterest());\\n System.out.print(\\\" Current balance \\\");\\n System.out.printf(\\\"%10.2f\\\",getCurrentBalance());\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f76a57efb5c32106f611450c89fb3458\",\n \"score\": \"0.708899\",\n \"text\": \"public void Print()\\n\\t{\\n\\t\\tSystem.out.println(\\\"id : \\\"+ this.id);\\n\\t\\tSystem.out.println(\\\"name : \\\"+ this.name);\\n\\t\\tSystem.out.println(\\\"gender : \\\"+ this.gender);\\n\\t\\tSystem.out.println(\\\"address : \\\"+ this.address);\\n\\t\\tSystem.out.println(\\\"------------------------------\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f48896db951a51cc6b0744efcaf780d9\",\n \"score\": \"0.70764285\",\n \"text\": \"public String showAccount(){\\n return \\\"\\\" +\\n \\\"ID: \\\" + accountID + \\\"\\\\n\\\" +\\n \\\"Handle: \\\"+ handle + \\\"\\\\n\\\" + \\n \\\"Description: \\\" + description + \\\"\\\\n\\\" +\\n \\\"Post count: \\\" + postCount + \\\"\\\\n\\\" +\\n \\\"Endorse count: \\\" + endorseCount + \\\"\\\\n\\\";\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71d559d44366e3bc35350c031d077929\",\n \"score\": \"0.70625776\",\n \"text\": \"@Override\\n\\tpublic void print() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71d559d44366e3bc35350c031d077929\",\n \"score\": \"0.70625776\",\n \"text\": \"@Override\\n\\tpublic void print() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71d559d44366e3bc35350c031d077929\",\n \"score\": \"0.70625776\",\n \"text\": \"@Override\\n\\tpublic void print() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6042922b77c57d279cf6090974275cb\",\n \"score\": \"0.70609075\",\n \"text\": \"public void print() {\\n\\t\\tSystem.out.println(\\\"name: \\\" + name + \\\" address: \\\" + address + \\\" phone no: \\\" + phoneNum + \\\" city: \\\" + city\\n\\t\\t\\t\\t+ \\\" state: \\\" + state + \\\" zip: \\\" + zip + \\\" email: \\\" + email);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39750ec37b38c9cc333e9fec7dfa78ff\",\n \"score\": \"0.70381117\",\n \"text\": \"@Override\\n\\tpublic void print() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39750ec37b38c9cc333e9fec7dfa78ff\",\n \"score\": \"0.70381117\",\n \"text\": \"@Override\\n\\tpublic void print() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae7bb37cffd4d96ec04fb38c236222de\",\n \"score\": \"0.70350146\",\n \"text\": \"private void printPerson() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"828591e4477806bd3260d7327a25796c\",\n \"score\": \"0.70209855\",\n \"text\": \"@Override\\n public String toString() {\\n return print;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c95059af618ded6ea3e06e8514e4ac8a\",\n \"score\": \"0.7008884\",\n \"text\": \"public void print(){\\n\\t\\tSystem.out.println(this.id);\\n\\t\\tSystem.out.println(name); // Internally compiler will inject this.name\\n\\t\\tSystem.out.println(salary);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"13605bbff033772cc98d1035904d241e\",\n \"score\": \"0.69977725\",\n \"text\": \"public void print() {\\n System.out.println(\\\"====================================\\\");\\n System.out.println(\\\" Direction: \\\" + this.directionType.toString());\\n System.out.println(\\\"====================================\\\");\\n System.out.println(\\\"ID: \\\" + this.id);\\n System.out.println(\\\"From: \\\" + this.from.name());\\n System.out.println(\\\"To: \\\" + this.to.name());\\n System.out.println(\\\"Locked? : \\\" + this.isLocked);\\n System.out.println(\\\"Lock Pattern: \\\" + this.lockPattern + \\\"\\\\n\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e6dd94e2bde53b2c4dce99e3b841c0e\",\n \"score\": \"0.69661117\",\n \"text\": \"@Override\\r\\n\\tpublic String toString() {\\r\\n\\t\\treturn \\\"BankAccount [accId=\\\" + accId + \\\", accHolderName=\\\"\\r\\n\\t\\t\\t\\t+ accHolderName + \\\", curBal=\\\" + curBal \\r\\n\\t\\t\\t\\t+\\\"Bank Name \\t\\t: \\\"+bankName+\\\"]\\\";\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"961d5f71f996b103cbae5e8c208603d1\",\n \"score\": \"0.69651544\",\n \"text\": \"@Override\\n\\tpublic String toString() {\\n\\t\\treturn \\\"Account [nome=\\\" + nome + \\\", cognome=\\\" + cognome + \\\", password=\\\" + password + \\\", email=\\\" + email\\n\\t\\t\\t\\t+ \\\", ruolo=\\\" + ruolo + \\\"]\\\";\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3bb59333b2356d4cdb432dfbddf1646e\",\n \"score\": \"0.6959363\",\n \"text\": \"public String toString(){\\n return \\\"account\\\";\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d604303c33c0ecf1aac2083279bdce83\",\n \"score\": \"0.69373447\",\n \"text\": \"@Override\\n\\t\\t\\tpublic String toString(){\\n\\t\\t\\t\\t\\n\\t\\t\\t\\treturn \\\"[\\\" + name + \\\" .\\\" + accountNumber + \\\" . Balance: $ \\\" + balance + \\\"] \\\";\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1724dd63efb431bdbbdd42ed5248994c\",\n \"score\": \"0.69336414\",\n \"text\": \"@Override\\r\\n\\tpublic void print() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9dcbcfe10375292c66c792e8e2927700\",\n \"score\": \"0.69335675\",\n \"text\": \"public void printAccountsSummary() {\\r\\n\\t\\t\\r\\n\\t\\tSystem.out.printf(\\\"\\\\n\\\\n%s's accounts summary\\\\n\\\", this.fName);\\r\\n\\t\\tfor (int a = 0; a < this.accounts.size(); a++) {\\r\\n\\t\\t\\tSystem.out.printf(\\\"%d) %s\\\\n\\\", a+1, \\r\\n\\t\\t\\t\\t\\tthis.accounts.get(a).fetchSummaryLine());\\r\\n\\t\\t}\\r\\n\\t\\tSystem.out.println();\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"206c891ad6b3caa62f38cbe08c26daad\",\n \"score\": \"0.6920061\",\n \"text\": \"public String toString() {\\n return (\\\"Account #\\\" + id);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d90d0f6c9b5ed22013b2e0d974a9c849\",\n \"score\": \"0.6917985\",\n \"text\": \"public void print()\\n\\t{\\n\\t\\tSystem.out.println(\\\"id= \\\"+id);\\n\\t\\tSystem.out.println(\\\"name= \\\"+name);\\n\\t\\tSystem.out.println(\\\"address= \\\"+address);\\n\\t\\tSystem.out.println(\\\"mobno= \\\"+mobno);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2ede172c6d8dea109b30e36de7c468c\",\n \"score\": \"0.6909112\",\n \"text\": \"public void print() {\\n\\t\\tSystem.out.println(Affiliates.divider2);\\n\\t\\tSystem.out.println(\\\"Information about the Full time professor with ID: \\\" + getId());\\n\\t\\tSystem.out.println(Affiliates.divider3);\\n\\t\\tsuper.print();\\n\\t\\tSystem.out.println(\\\"Years until retirement: \\\" + yearsUntilRetirement);\\n\\t\\tSystem.out.println(Affiliates.divider2);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"38cc0e7ba5c2608fa260345d45ab1c5c\",\n \"score\": \"0.6878639\",\n \"text\": \"public void print() {\\n\\t\\tSystem.out.println(\\\"ID: \\\" + this.id);\\n\\t\\tSystem.out.println(\\\"Name: \\\" + this.name);\\n\\t\\tSystem.out.println(\\\"Beschreibung: \\\" + this.description);\\n\\t\\tSystem.out.println(\\\"Alter: \\\" + this.age);\\n\\t\\tSystem.out.println(\\\"Energie: \\\" + this.energy);\\n\\t\\tSystem.out.println(\\\"Erfahrungspunkte: \\\" + this.experiencePoints);\\n\\t\\tif(this.exists)\\n\\t\\t\\tSystem.out.println(\\\"Raumschiffe Situation: Lebendig\\\");\\n\\t\\telse \\n\\t\\t\\tSystem.out.println(\\\"Raumschiffe Situation: Zerstört\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"282d56ebf2eaae42eeef5ceef699ee7e\",\n \"score\": \"0.6865602\",\n \"text\": \"public String toString() {\\n String output = \\\"BankAccount[owner: \\\" + getAccountHolderName() +\\n \\\", balance: \\\" + String.format(\\\"%.2f\\\", getBalance()) +\\n \\\", interest rate: \\\" + String.format(\\\"%.2f\\\", myInterestRate) +\\n \\\"\\\\n\\\\tnumber of withdrawals this month: \\\" + myMonthlyWithdrawCount +\\n \\\", service charges for this month: \\\" +\\n String.format(\\\"%.2f\\\", myMonthlyServiceCharges) + \\\"]\\\";\\n\\n return output;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2cdd4aefebd3cdecb87b41164991f5b2\",\n \"score\": \"0.6864703\",\n \"text\": \"public final void print() {\\n\\t\\tSystem.out.println( toString() ); \\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"83f0e28da555c765e2870f2845574e7c\",\n \"score\": \"0.68596584\",\n \"text\": \"public void printAccountDetails() {\\n try {\\n statement = ConnectionManager.connection.createStatement();\\n statement.execute(\\\"SELECT * FROM Accounts ORDER BY id ASC\\\");\\n ResultSet results = statement.getResultSet();\\n System.out.println(\\\"\\\\n\\\");\\n while (results.next()) {\\n\\n System.out.println(\\\"+--------------------------+\\\");\\n System.out.println(\\\"| Account ID: \\\" + results.getInt(\\\"id\\\") + \\\"\\\\n\\\" +\\n \\\"| Account Number: \\\" + results.getInt(\\\"accountNumber\\\") + \\\"\\\\n\\\" +\\n \\\"| Sort Code: \\\" + results.getInt(\\\"sortCode\\\")+ \\\"\\\\n\\\" +\\n \\\"| Account Balance: £\\\" + results.getString(\\\"balance\\\"));\\n System.out.println(\\\"+--------------------------+\\\");\\n\\n }\\n statement.close();\\n }\\n catch (SQLException e) {\\n System.out.println(\\\"Unable to get data from database.\\\");\\n e.printStackTrace();\\n }\\n Options.again();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"38e5ee386033d68d8e8e715ecccfff44\",\n \"score\": \"0.68526065\",\n \"text\": \"public String toString() {\\n return String.format(\\\"Account ID: %s. Account type: %s. Current Balance: %.2f%s.\\\",\\n this.getId(), this.getType(), this.getBalance(), this.moneyType);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0f5d5fcefdd3dc55eaac0124c49f8be5\",\n \"score\": \"0.6851808\",\n \"text\": \"public final void testPrint() {\\n\\t\\tSystem.out.print(\\\"Account Balance:$\\\" + account.getBalance());\\n\\t\\tSystem.out.print(\\\"Monthly Interest: \\\"\\n\\t\\t\\t\\t+ account.getMonthlyInterestRate() + \\\"%\\\");\\n\\t\\tSystem.out.print(\\\"Your account was created on: \\\" + account.getDateCreated());\\n\\t\\tassertEquals(\\\"Account Balance: $20000\\\", \\\"Balance:$\\\" + account.getBalance());\\n\\t\\tassertEquals(\\\"Monthly Interest: .375%\\\", \\\"Monthly Interest Rate: \\\"\\n\\t\\t\\t\\t+ account.getMonthlyInterestRate() + \\\"%\\\");\\n\\t\\tassertEquals(\\\"Account created on:\\\" + account.getDateCreated(),\\n\\t\\t\\t\\t\\\"Account created on: \\\" + account.getDateCreated());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"26d7f2b886b54b9c36aa7e30094ed03f\",\n \"score\": \"0.6838244\",\n \"text\": \"public String toString(){\\n\\t\\tString toReturn = \\\"\\\"; // make a new string to return\\n\\t\\t\\n\\t\\ttoReturn += \\\"Bank Account for: \\\"+getLastName() + \\\", \\\"+getFirstName() + \\\"\\\\n\\\";\\n\\t\\tint length = toReturn.length();\\n\\t\\tfor ( int i = 0; i < length; i++)\\n\\t\\t\\ttoReturn+=\\\"-\\\";\\n\\t\\ttoReturn += \\\"\\\\n\\\";\\n\\t\\ttoReturn += \\\"\\\\tBalance for Account is: $\\\"+moneyForm.format(getBalance());\\n\\t\\n\\t\\treturn toReturn;\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8382857da13e7ae417c52e6dcded973c\",\n \"score\": \"0.68311363\",\n \"text\": \"public void summary() {\\n for (Account account : accounts) {\\n System.out.println(account.toString());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"94ea19dc40d2b2c11b73ed19624a74a6\",\n \"score\": \"0.68260366\",\n \"text\": \"private static void print() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"704799310900e42625163a505137e066\",\n \"score\": \"0.68102443\",\n \"text\": \"@Override public String toString() {\\n\\tDecimalFormat df = new DecimalFormat(\\\"###,###,###.00\\\");\\n return \\\"Name: \\\" + this.firstName + \\\" \\\" + this.lastName\\n\\t\\t + \\\"\\\\nAccount Number: \\\" + this.accountNum\\n\\t\\t + \\\"\\\\nTotal Cash: $\\\" + df.format(this.cash);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a3eb373c684a990d64ef9409968cfde\",\n \"score\": \"0.6787502\",\n \"text\": \"public String toString() {\\n\\t\\treturn \\\"SavingsAccount [accID=\\\" + this.getAccID() + \\\", client=\\\" + this.getHolder() + \\\", money=\\\" + money + \\\", typeOfAccount=\\\"\\r\\n\\t\\t\\t\\t+ this.getTypeOfAccount() + \\\", interestRate = \\\" + this.interestRate + \\\" ]\\\";\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e70debe2466b31315d39a3a2b6b2a0e\",\n \"score\": \"0.6785769\",\n \"text\": \"public String toString() {\\n\\t\\tString accountString;\\n\\t\\tNumberFormat money = NumberFormat.getCurrencyInstance();\\n\\t\\taccountString = cust.toString();\\n\\t\\taccountString += \\\"Current balance is \\\" + money.format(balance);\\n\\t\\treturn (accountString);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e70debe2466b31315d39a3a2b6b2a0e\",\n \"score\": \"0.6785769\",\n \"text\": \"public String toString() {\\n\\t\\tString accountString;\\n\\t\\tNumberFormat money = NumberFormat.getCurrencyInstance();\\n\\t\\taccountString = cust.toString();\\n\\t\\taccountString += \\\"Current balance is \\\" + money.format(balance);\\n\\t\\treturn (accountString);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"64721e569fe6bb4f47d880271bedd7c5\",\n \"score\": \"0.6781478\",\n \"text\": \"@Override\\n public String toString() {\\n DecimalFormat df2 = new DecimalFormat(\\\"0.00\\\");\\n return \\\"Username: \\\" + userName + \\\"\\\\n\\\" + \\\"Balance: $\\\" + df2.format(balance) + \\\"\\\\n\\\";\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aad3ef374ac4536f21a22a5be54946fd\",\n \"score\": \"0.67612094\",\n \"text\": \"private void printAvailableBalances(Account acc) {\\n\\t\\tSystem.out.println(\\\"Your accounts are:\\\");\\n\\t\\tfor(Balance b : acc.balances)\\n\\t\\t\\tSystem.out.print(b.currencyString()+\\\"\\\\t\\\\t\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3af5dae26afbcbeb7aa5b7fe68996476\",\n \"score\": \"0.67600656\",\n \"text\": \"public void print(){\\n System.out.println(\\\"Thong tin nhan vien\\\");\\n System.out.println(\\\"id = \\\" + id);\\n System.out.println(\\\"ten = \\\"+ name);\\n System.out.println(\\\"chuc vu = \\\"+position);\\n System.out.println(\\\"luong cb = \\\" + salary);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e86ad19a589bbbbfaa4f94ce2c90f5b2\",\n \"score\": \"0.6744502\",\n \"text\": \"public String print(){\\n return String.format(\\\"%s was born on %s. Their current age is %d.\\\", this.name, this.dob.print(),\\n getAge(new Date(27, 01, 2020)));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1553e5a17e772c3d0fa9436ecd9b7532\",\n \"score\": \"0.6740547\",\n \"text\": \"public void print() {\\n\\t\\tSystem.out.println(\\\"Roll No is : \\\"+iRollNo);\\r\\n\\t\\tSystem.out.println(\\\"Name is : \\\"+sName);\\r\\n\\t\\tSystem.out.println(\\\"Batch is : \\\"+sBatch);\\r\\n\\t\\tSystem.out.println(\\\"Page Value is : \\\"+iPage);\\r\\n\\t\\t//this.display();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0694ed51de013e203cccadc5dfe685f3\",\n \"score\": \"0.67361236\",\n \"text\": \"public String toString(){\\n String result = \\\"\\\";\\n result += \\\" Account Owners: \\\" + owners + \\\", Bank Name: \\\" + bankName + \\\"\\\\n\\\";\\n result += \\\" Account Name: \\\" + accountName + \\\"\\\\n\\\";\\n //result += \\\" Transfers: \\\" + transfer +\\n result += \\\" Account Balance: \\\" + balance + \\\"\\\\n\\\";\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"920480740a014ab16619547894a6a875\",\n \"score\": \"0.67341036\",\n \"text\": \"public void printAccountsByValue() {\\n\\tfunds_value.inOrderPrint();\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"498d868ad96bfed6bef63627d5a2df44\",\n \"score\": \"0.6732445\",\n \"text\": \"public void print() {\\n System.out.println(\\\"bond \\\" + this.ID + \\\" \\\" + this.a1.getID() + \\\" \\\" + this.a2.getID() + \\\" \\\" + order);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ff92be7ab7e31ae7c9db24656114938\",\n \"score\": \"0.6715556\",\n \"text\": \"public void print() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6a43804bc57df402de2efe5c37b55e9e\",\n \"score\": \"0.6705664\",\n \"text\": \"private static void print() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fadeace3689fb8836dc52778c1b47c8\",\n \"score\": \"0.670437\",\n \"text\": \"public String toString()\\n {\\n\\treturn \\\"Name: \\\" + name +\\n\\t \\\"\\\\nAcct #: \\\" + acctNum +\\n\\t \\\"\\\\nBalance: \\\" + balance;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86a25cb2d556fc94f943e0547ef5333c\",\n \"score\": \"0.6701921\",\n \"text\": \"public void print() \\r\\n {\\r\\n System.out.println(toString());\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"728f019c59924fb35f778e0ddc418540\",\n \"score\": \"0.6700969\",\n \"text\": \"private int printBalanceOfCustomer(Account account) {\\n return account.getBalance();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"33188a4ae3fd7a628cde22c1f4552603\",\n \"score\": \"0.6695859\",\n \"text\": \"public String toString() {\\n\\n\\t\\t// create String and initialize with CheckingAccount information\\n\\t\\tString checkingAccountString = \\\"Account Type:\\\\tC\\\\tAccount \\\"\\n\\t\\t\\t\\t+ \\\"Number:\\\\t\\\" + getNumber() + \\\"\\\\tAccountOwner:\\\\t\\\"\\n\\t\\t\\t\\t+ getOwner() + \\\"\\\\tDate Opened:\\\\t\\\"\\n\\t\\t\\t\\t+ getDateOpenedString() + \\\"\\\\tAccount Balance:\\\\t\\\"\\n\\t\\t\\t\\t+ getBalance() + \\\"\\\\tMonthly Fee:\\\\t\\\" + getMonthlyFee();\\n\\n\\t\\t// return checkingAccountString\\n\\t\\treturn checkingAccountString;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"03f0727f9d74d792522c90406c48ec98\",\n \"score\": \"0.6682426\",\n \"text\": \"@Override\\n public String toString() {\\n return balance + \\\": \\\" + super.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74e08ea81cbb88ef0d1b657ac1572c2a\",\n \"score\": \"0.6679521\",\n \"text\": \"public void printStatement() {\\n System.out.println(\\\"Statement for \\\" + this);\\n log.printTo(System.out);\\n System.out.println(\\\"Current balance: \\\" + balance);\\n System.out.println();\\n log.clear();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e4c58cc8bce884ca2819f3ab953ddca\",\n \"score\": \"0.6663852\",\n \"text\": \"@Override\\r\\n\\tpublic String toString()\\r\\n\\t{\\r\\n\\t\\tString balanceFormatted = String.format(\\\"%.2f\\\",balance);\\r\\n\\t\\tString AnnualInterestRateFormatted = String.format(\\\"%.2f\\\",annualInterestRate);\\r\\n\\t\\treturn \\\"Account ID: \\\" + accountId + \\\"\\\\nBalance: \\\" + balanceFormatted +\\r\\n\\t\\t\\t\\t\\\"\\\\nAnnual Interest Rate: \\\" + AnnualInterestRateFormatted + \\r\\n\\t\\t\\t\\t\\\"\\\\nDate created: \\\" + date;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2468fcb69f16f19d8c8e6baa441ae544\",\n \"score\": \"0.66448885\",\n \"text\": \"public void print(){\\r\\n\\t\\tSystem.out.println(\\\"Type: \\\"+this.Type);\\r\\n\\t\\tSystem.out.println(\\\"Name: \\\"+this.name);\\r\\n\\t\\tSystem.out.println(\\\"Description: \\\"+this.description);\\r\\n\\t\\tSystem.out.printf(\\\"$%.2f\\\\n\\\", this.price);\\r\\n\\t\\tSystem.out.println();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"24366bb960822a1e4133bf37df364b9f\",\n \"score\": \"0.6636043\",\n \"text\": \"public String print() {\\n\\t\\treturn \\\"ID: \\\" + fieldID + \\\"\\\\t\\\\tfieldName: \\\" + fieldName + \\\"\\\\tNumber of passes: \\\" + passNum\\n\\t\\t\\t\\t+ \\\"\\\\tNumber of ranges: \\\" + rangeNum;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"614f43f09526fc990cf7535d632513d2\",\n \"score\": \"0.6629793\",\n \"text\": \"public void print() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6bc941fc80afe2cf181daea5648736aa\",\n \"score\": \"0.6619527\",\n \"text\": \"@Override\\n public void print() {\\n return;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f47ce9e1e739f863fb8480a80c59879b\",\n \"score\": \"0.6612777\",\n \"text\": \"public String toString()\\n {\\n String output;\\n output = \\\"(Account Id: \\\" + getAccountId() + \\\" TransNum: \\\" + getTransNum() + \\\" TransType: \\\" + getTransType() + \\\" ):(Withdrawal) Amount: \\\" + getAmount() + \\\" Fee: \\\" + getFee() + \\\" Balance: \\\" + getBalance();\\n return output;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1ba4e558334d1f9cd852f73ae2352cc\",\n \"score\": \"0.6607668\",\n \"text\": \"public void print()\\n {\\n\\tprint(null,null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a1d3dcf6536a2a7dcba3cbd06f20e934\",\n \"score\": \"0.6602108\",\n \"text\": \"private void print()\\n {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f387f4ec65fdef9b92fd11b3f5a903f\",\n \"score\": \"0.65774596\",\n \"text\": \"public void printPerson(person per){\\n System.out.println(\\\"\\\\nName: \\\" + per.getName() +\\n \\\"\\\\nFather Name: \\\" + per.getFatherName() +\\n \\\"\\\\nOrganization: \\\" + per.getOrganization() +\\n \\\"\\\\nMobile: \\\" + per.getMobile() +\\n \\\"\\\\nUsername: \\\" + per.getUsername() +\\n \\\"\\\\nPassword: \\\" + per.getPassword() + \\\"\\\\n\\\\n\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef8739954d637054a611b3a3e4a709c5\",\n \"score\": \"0.6575987\",\n \"text\": \"@Override\\n public String toString() {\\n System.out.println(cuentaBancaria+\\\" \\\"+fecha+\\\" \\\"+ moneda+\\\" \\\"\\n +monto+\\\" \\\"+tipoDeposito+\\\" \\\"+conceptoDeposito+\\\" \\\"+referencia+\\\" \\\"\\n +lineaDeCaptura+\\\" \\\"+unidadDeNegocio+\\\" \\\"+proyecto+\\\" \\\"+cliente+\\\" \\\"\\n +nCuenta);\\n return super.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"96660ca4790c33c7222456dda412ff34\",\n \"score\": \"0.6568707\",\n \"text\": \"public void print(){\\n\\t\\t\\t\\n\\t\\t\\tSystem.out.println(\\\"This Number: \\\"+ this.id+\\\" \\\"+ this.data);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd5f4f0a7466df35bf15eca38face7b0\",\n \"score\": \"0.6565533\",\n \"text\": \"public void print() {\\n\\t\\tSystem.out.println(this.getFrom().getName() + \\\" - \\\" + this.getTo().getName() + \\\" : \\\" + this.getWeight());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aefb5c0cc1c486268c184e68ae7ab8f3\",\n \"score\": \"0.6561728\",\n \"text\": \"public String printUser() {\\n\\t\\treturn currentuser.print_info();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e7b27d8afd54dc0d3e30db3711bb9b9\",\n \"score\": \"0.65601194\",\n \"text\": \"public void print() { System.out.print(toString()); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d246b53e98d9cbfe9f026a5282a6a6c0\",\n \"score\": \"0.655724\",\n \"text\": \"public String toString() {\\r\\n \\tString output = this.cash + \\\" \\\" + this.name + \\\" \\\";\\r\\n \\treturn output;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4a4fc4358a341332ab70154646ccf129\",\n \"score\": \"0.6553259\",\n \"text\": \"void print() {\\n\\t\\tint indent = getDepth() * degree * 3 + (1 - getLevelKeyNumber() / getMaxLevelKeyNumber()) * 3;\\n\\n\\t\\tfor (int i = 0; i < indent; i++) {\\n\\t\\t\\tSystem.out.print(\\\" \\\");\\n\\t\\t}\\n\\t\\tprintLevel();\\n\\t\\tif (ptrs[0] != null)\\n\\t\\t\\tptrs[0].print();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac98da9817f113a4200ba283bace98a8\",\n \"score\": \"0.65529317\",\n \"text\": \"public String toString(Account account) {\\n if (account != null) {\\n return account.getName();\\n } else {\\n return \\\"\\\";\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a6749e57b4b41e9c99dd2f9c0de7361b\",\n \"score\": \"0.65450865\",\n \"text\": \"public void print()\\r\\n {\\r\\n\\t for(int i=0; i<numMembers; i++)\\r\\n\\t {\\r\\n\\t\\t System.out.println(team[i].toString());\\r\\n\\t }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a47681323127c457c651c488627ec152\",\n \"score\": \"0.65224725\",\n \"text\": \"public void printAccountInfo(){\\n System.out.printf(\\\"%-27s%8.2f %-12s %1.2f\\\\n\\\", (accountNum)+\\\" \\\"+(customerName), balance,\\\"Monthly fee:\\\"+\\\" $\\\",monthlyFee);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac73c574bc1d1845efbc4bb8615ef643\",\n \"score\": \"0.65096325\",\n \"text\": \"@Override\\r\\n\\tpublic String toString() {\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tif (StringFunctions\\r\\n\\t\\t\\t\\t\\t.isNullOrEmpty(this.account.getAdmissionNumber()))\\r\\n\\t\\t\\t\\treturn \\\"\\\";\\r\\n\\t\\t\\tif(StringFunctions.isNullOrEmpty(this.account.getPerson().getFirstName()))\\r\\n\\t\\t\\t\\treturn \\\"\\\";\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tStringBuffer buffer = new StringBuffer(STRING_BUFFER_SIZE);\\r\\n\\t\\t\\tbuffer.append(getId()).append(\\\" \\\");\\r\\n\\t\\t\\tbuffer.append(account).append(\\\" \\\");\\r\\n\\t\\t\\treturn buffer.toString();\\r\\n\\t\\t} catch (Exception ex) {\\r\\n\\t\\t\\treturn \\\"\\\";\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b646b8e27df12a6bb4a5d31d85a5dac0\",\n \"score\": \"0.6504817\",\n \"text\": \"public String toString() {\\n\\t\\treturn \\\"Balance in account: \\\" + String.format(\\\"%.2f\\\", balance);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ae350d9154b27af54f6516df6e9673e\",\n \"score\": \"0.6502101\",\n \"text\": \"@Override\\n\\tpublic void printInfo()\\n\\t{\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4dfec92aa509a54a7504c43abc265e5\",\n \"score\": \"0.64932925\",\n \"text\": \"public void print() {\\r\\n\\t\\tSystem.out.println(number + \\\" of \\\" + suit);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1bffd1fefb7ef13b3cccac1c21fa737f\",\n \"score\": \"0.649206\",\n \"text\": \"public void print();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1bffd1fefb7ef13b3cccac1c21fa737f\",\n \"score\": \"0.649206\",\n \"text\": \"public void print();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1bffd1fefb7ef13b3cccac1c21fa737f\",\n \"score\": \"0.649206\",\n \"text\": \"public void print();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1bffd1fefb7ef13b3cccac1c21fa737f\",\n \"score\": \"0.649206\",\n \"text\": \"public void print();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1bffd1fefb7ef13b3cccac1c21fa737f\",\n \"score\": \"0.649206\",\n \"text\": \"public void print();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5db889ae8349ac3cfab69794b291c162\",\n \"score\": \"0.6483981\",\n \"text\": \"public void printInfo() {\\n\\t\\tSystem.out.println(first_name + \\\" \\\" + last_name\\n\\t+ \\\"\\\\n\\\" + classification\\n\\t+ \\\"\\\\n\\\" + email\\n\\t+ \\\"\\\\n\\\" + phone\\n\\t+ \\\"\\\\n\\\" + major\\n\\t+ \\\"\\\\n\\\" + reshall);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5627383d0160e594d43c97f72314d9bb\",\n \"score\": \"0.64768124\",\n \"text\": \"@Override\\n\\tpublic void print() \\n\\t{\\n\\t\\tString department = \\\"Unknown\\\";\\n\\t\\tif (dept == ADMIN)\\n\\t\\t\\tdepartment = \\\"Administration\\\";\\n\\t\\telse if (dept == EDITORIAL)\\n\\t\\t\\tdepartment = \\\"Editorial\\\";\\n\\t\\telse if (dept == MARKETING)\\n\\t\\t\\tdepartment = \\\"Marketing\\\";\\n\\t\\tSystem.out.println(firstName + \\\" \\\" + lastName + \\\" (\\\" + department + \\\")\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d5019babd2e360f98721e908091c494\",\n \"score\": \"0.6443074\",\n \"text\": \"@Override\\r\\n\\t\\tpublic void print(Object obj) throws IOException {\\n\\t\\t\\t\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0eee2002ce2f35e4b7904bdd9017c83e\",\n \"score\": \"0.6432516\",\n \"text\": \"@Override\\r\\n\\tpublic String toString() {\\r\\n\\t\\treturn super.getFirstName() + \\\",\\\" + super.getLastName() + \\\",\\\" + super.getId() + \\\",\\\" + super.getEmail()\\r\\n\\t\\t\\t\\t+ \\\",\\\" + super.getPassword() + \\\",\\\" + maxCredits;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d6914aeecdc15b54e7fb019f2a1e23b9\",\n \"score\": \"0.6432066\",\n \"text\": \"public void printInfo() // method\\n\\t{\\n\\t\\tout.println(\\\"\\\\nEMPLOYEE INFOMRMATION\\\");\\n\\t\\tout.println(\\\"FIRST NAME: \\\"+this.m_fName);\\n\\t\\tout.println(\\\"LAST NAME: \\\"+this.m_lName);\\n\\t\\tout.println(\\\"SALARY: \\\"+this.m_salary);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6747a54636f9b6df08c27ba4ace7ccc1\",\n \"score\": \"0.6424565\",\n \"text\": \"@Override\\n public void print()\\n {\\n this.print(1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac247b1eac52485c492060340aaa4501\",\n \"score\": \"0.6409857\",\n \"text\": \"public void printing() {\\n\\t\\tSystem.out.println(pro);\\n\\t\\tSystem.out.println(nomod);\\n\\t\\tSystem.out.println(pub);\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990994,"cells":{"query_id":{"kind":"string","value":"dce8961d05182c148ef7680528a4af99"},"query":{"kind":"string","value":"Tests whether the correct page view is returned."},"positive_passages":{"kind":"list like","value":[{"docid":"f4f52dd619749361a549f49b97f86300","score":"0.71820605","text":"public void testGetPageView()\r\n {\r\n PageManagerImpl pageMan = createPageManager();\r\n assertSame(\"Wrong page view\", view, pageMan.getPageView());\r\n }","title":""}],"string":"[\n {\n \"docid\": \"f4f52dd619749361a549f49b97f86300\",\n \"score\": \"0.71820605\",\n \"text\": \"public void testGetPageView()\\r\\n {\\r\\n PageManagerImpl pageMan = createPageManager();\\r\\n assertSame(\\\"Wrong page view\\\", view, pageMan.getPageView());\\r\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"dcc89e2fb87fb02fbc700c47bbcc8caf","score":"0.7044268","text":"protected abstract boolean checkPageContent();","title":""},{"docid":"055b9ca37cfacd3b4b6f04e4f685e28e","score":"0.69460756","text":"boolean hasPage();","title":""},{"docid":"7b65daf46247d4fcdd6b2dfd60138258","score":"0.66680896","text":"boolean hasPageType();","title":""},{"docid":"c200ad97b8d511eb6a5a6257a5d9a0b8","score":"0.6512554","text":"boolean hasPageInfo();","title":""},{"docid":"d8dbf8935d97ac9de00affc3a950ba42","score":"0.6392616","text":"@Override\n \tpublic boolean hasViewPermissionForPageKey(String pageKey,IWUserContext iwuc) {\n \t\tPagePermissionObject pageKeyObject = new PagePermissionObject(pageKey);\n \t\ttry {\n \t\t\tboolean permission = hasPermission(PERMISSION_KEY_VIEW, pageKeyObject, iwuc);\n \t\t\tif (!permission) {\n \t\t\t\t//if regular user check fails do extra check for content roles\n \t\t\t\treturn hasRole(StandardRoles.ROLE_KEY_AUTHOR, iwuc) || hasRole(StandardRoles.ROLE_KEY_EDITOR, iwuc);\n \t\t\t}\n \n \t\t\t//even if you have the view rights the page might not be published yet.\n \t\t\t//extra check for unpublished pages\n \t\t\tICPageHome pageHome = (ICPageHome) IDOLookup.getHome(ICPage.class);\n \t\t\tICPage page = pageHome.findByPrimaryKey(pageKey);\n \n \t\t\tif (page.getDeleted()) {\n \t\t\t\treturn false;\n \t\t\t}\n \t\t\tif (!page.isPublished()) {\n \t\t\t\t//only editors can view unpublished pages.\n \t\t\t\treturn hasRole(StandardRoles.ROLE_KEY_AUTHOR, iwuc) || hasRole(StandardRoles.ROLE_KEY_EDITOR, iwuc);\n \t\t\t}\n \n \t\t\treturn permission;\n \t\t}\n \t\tcatch (Exception e) {\n \t\t\te.printStackTrace();\n \t\t\treturn false;\n \t\t}\n \t }","title":""},{"docid":"e6df032f1ad9cad2bba63d2a0bc71c42","score":"0.6327624","text":"public abstract boolean isInFirstPage( );","title":""},{"docid":"62397e600fda22747a3bfb9ffccaa6b0","score":"0.63266903","text":"@Override\n\tpublic void checkPage() {\n\t\t\n\t}","title":""},{"docid":"62397e600fda22747a3bfb9ffccaa6b0","score":"0.63266903","text":"@Override\n\tpublic void checkPage() {\n\t\t\n\t}","title":""},{"docid":"7656249d173ac6fc7a29733123bfc3db","score":"0.630173","text":"@Override\n\tpublic boolean isAtDesiredPage(WebDriver drv, URI siteURL)\n\t\t\tthrows IllegalStateException {\n\t\treturn false;\n\t}","title":""},{"docid":"cc135dd696c73daae40e8ff99dcf04d1","score":"0.62923485","text":"@Override\n\tpublic void checkPage() {\n\n\t}","title":""},{"docid":"ea049dfb686d0c4d8e9c57c1571f2865","score":"0.62502897","text":"boolean hasViewType();","title":""},{"docid":"789c8b210a881c30ebe6ba151bfc7bf7","score":"0.6229025","text":"boolean isPageValidation();","title":""},{"docid":"bd4c9985fe52447358f58965068c94f7","score":"0.6228787","text":"@Override\r\n public boolean canHandleView(String view, HttpServletRequest req,\r\n HttpServletResponse res) {\n return false;\r\n }","title":""},{"docid":"8d6f5da6f114f5e55a8cd3aa5664cfb2","score":"0.6173811","text":"public boolean isSetPage() {\n return this.page != null;\n }","title":""},{"docid":"833368bf39a70208cb7d9fc5fa0a7abf","score":"0.61681175","text":"@Override\n \tpublic boolean hasViewPermissionForPageURI(String pageUri,HttpServletRequest request){\n \n \t \tHttpSession session = request.getSession();\n \t \tServletContext sc = session.getServletContext();\n \n \t \t//TODO: Optimize this since this has to be done for each request:\n \t \tIWUserContext iwuc = new IWUserContextImpl(session,sc);\n \n \t \ttry {\n \t \t\tString serverName = request.getServerName();\n \t \t\tBuilderService bs = BuilderServiceFactory.getBuilderService(iwuc.getApplicationContext());\n \t \t\tString pageKey = bs.getPageKeyByRequestURIAndServerName(pageUri,serverName);\n \t \t\tif(pageKey!=null){\n \t \t\t\treturn hasViewPermissionForPageKey(pageKey,iwuc);\n \t \t\t}\n \t \t\telse{\n \t \t\t\t//getLogger().warning(\"No pageKey found for : \"+pageUri);\n \t \t\t\treturn false;\n \t \t\t}\n \t\t}\n \t\tcatch (Exception e) {\n \t\t\te.printStackTrace();\n \t\t}\n \t \treturn false;\n \t }","title":""},{"docid":"22dbe9f8e190bcf3f813370782b8ee0a","score":"0.61162394","text":"public abstract boolean isTalkPage(String pageName);","title":""},{"docid":"13cc7dc8523cdb1042f118e41e0a7c9f","score":"0.6035468","text":"public boolean moreThanOnePage() {\n return this.mResultView.getLayoutManager().findViewByPosition(0) == null || this.mResultView.getLayoutManager().findViewByPosition(this.mResultAdapter.getItemCount() - 1) == null;\n }","title":""},{"docid":"22f1cc24e8845c6a055d8d862b8ec8ef","score":"0.601071","text":"boolean hasView();","title":""},{"docid":"47f6135fae956103dc0b1ec0bed4e9ee","score":"0.59400594","text":"PageView getPageView();","title":""},{"docid":"eb26b4352ca9547146ddc2e5769141c5","score":"0.5910417","text":"boolean hasViewOption();","title":""},{"docid":"826a8d51f757e60c347efd3817be78ff","score":"0.58524776","text":"private boolean checkNavigationAccess() {\n\t if(resources.getPageName().equalsIgnoreCase(\"Login\")) {\n\t\t return true;\n\t }\n\t \n\t for(String page : nonLoginPages) {\n\t\t if(resources.getPageName().equalsIgnoreCase(page)) {\n\t\t\t return true;\n\t\t }\n\t }\n\t \n\t if(user.getUsername() != null) {\n\t\t //Change nonLoginPages here back to judgePages\n\t\t for(String page : judgePages) {\n\t\t\t if(resources.getPageName().equalsIgnoreCase(page)) {\n\t\t\t\t return true;\n\t\t\t }\n\t\t }\n\t\t \n\t\t if(user.getMainJudge())\n\t\t {\n\t\t\t for(String page : mainJudgePages) {\n\t\t\t\t if(resources.getPageName().equalsIgnoreCase(page)) {\n\t\t\t\t\t return true;\n\t\t\t\t }\n\t\t\t }\n\t\t }\n\t }\n\t \n\t return false;\n }","title":""},{"docid":"a47b0eb85e8e9a7747c21586ba0070b3","score":"0.58281386","text":"public boolean hasPage(Node document) throws RepositoryException, MoxtraClientException, MoxtraException {\n touch();\n boolean isDocument = isPageNode(document, true);\n if (isDocument) {\n return true;\n } else {\n boolean isConversation = isPageContent(document, false); // don't force refresh here again\n return isConversation;\n }\n }","title":""},{"docid":"ad139bfb8ecd28ee97b827098dc45f3c","score":"0.58092785","text":"public boolean hasPage() {\n return ((bitField0_ & 0x00000004) == 0x00000004);\n }","title":""},{"docid":"1cf9cfef60970a6fceb537ce827b48e3","score":"0.579382","text":"private void verifyApplicationInCorrectPage() {\n\t\tif (!isValidPage()) {\n\t\t\tString stepName=\"Navigation to Page\";\n\t\t\tString message=\"The application is not in the expected page , current page: \" + \n\t\t\t\t\tbrowser.getTitle() +\" Page.\";\t\t\n\t\t}\n\t}","title":""},{"docid":"d2abdfba7cfb7614f547de6af753d305","score":"0.57912594","text":"public Boolean verifyPaginationdisplayed()\n{\n\tboolean result= false;\n\ttry{\n\t\t result=fLib.getWebelment(driver, \"PaginationDisplayed\").isDisplayed();\n\t\t if (result==true)\n\t\t LoggerInstance.logger.info(\"Pagination is displayed at the bottom.\");\n\t\t return result;\n\t}\n\tcatch (Exception e) \n\t{\n\t\tSystem.out.println(\"Exception: \" + e.getMessage());\n\t\tLoggerInstance.logger.info(\"Pagination is not displayed.\");\n\t\treturn result;\n\t}\n}","title":""},{"docid":"d1bc657bad66704c87b9c19203667483","score":"0.57778436","text":"boolean hasParentPage();","title":""},{"docid":"9404abacce69c42b966aa986908104c7","score":"0.5770807","text":"public boolean hasPage() {\n return ((bitField0_ & 0x00000004) == 0x00000004);\n }","title":""},{"docid":"a820c3de0bbd73d442d71e07f0c3231a","score":"0.5755936","text":"public Boolean isThisPage() throws Exception\n\t{\n\t\tBoolean flag=false;\n\t\tflag=element(\"cecd.title\").isDisplayed();\n\t\treturn flag;\n\t}","title":""},{"docid":"63f49d0b4295926768e87ae0755833aa","score":"0.5748859","text":"public PageView getView();","title":""},{"docid":"6ca838b985ad6431386f7601c294c1c6","score":"0.57325107","text":"public abstract boolean isInLastPage( );","title":""},{"docid":"9d8cdb9dd7407e2f57f777fded3b8163","score":"0.5725965","text":"public Boolean VerifyAnnoucementPageIsdisplayed() {\n\tboolean result = false;\n\ttry {\n\t\tLoggerInstance.logger.info(\"Going to Sub Tab\");\n\t\tFunctionLibrary.clickMenuItem(driver, fLib.getWebelment(driver, \"MainLink\"),\n\t\t\t\tfLib.getWebelment(driver, \"AnnoucementsSubLink\"));\n\t\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\n\t\tresult = fLib.getWebelment(driver, \"Annoucement\").isDisplayed();\n\t\tif (result == true)\n\t\t\tLoggerInstance.logger.info(\"Annoucement Page is displayed\");\n\t\treturn result;\n\t} catch (Exception e) {\n\t\tSystem.out.println(\"Exception: \" + e.getMessage());\n\t\tLoggerInstance.logger.info(\"Annoucement Page is not displayed\");\n\t\treturn result;\n\t}\n}","title":""},{"docid":"a3af1b19f0e96852590fb9c8fecfc015","score":"0.5725367","text":"private boolean isPageValid(final Document page) {\n return JsoupUtils.exists(\"#list_apps_by_subject\", page) && JsoupUtils.exists(\".pager\", page);\n }","title":""},{"docid":"190bedc0e021c23e7d5b1bdc9130a399","score":"0.5707758","text":"public Boolean VerifyDocumentPageIsdisplayed() {\n\tboolean result = false;\n\ttry {\n\t\tLoggerInstance.logger.info(\"Going to Sub Tab\");\n\t\tFunctionLibrary.clickMenuItem(driver, fLib.getWebelment(driver, \"MainLink\"),\n\t\t\t\tfLib.getWebelment(driver, \"DocumentSubTab\"));\n\t\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\n\t\tresult = fLib.getWebelment(driver, \"CompanyDocument\").isDisplayed();\n\t\tif (result == true)\n\t\t\tLoggerInstance.logger.info(\"Document Page is displayed\");\n\t\treturn result;\n\t} catch (Exception e) {\n\t\tSystem.out.println(\"Exception: \" + e.getMessage());\n\t\tLoggerInstance.logger.info(\"Document Page is not displayed\");\n\t\treturn result;\n\t}\n}","title":""},{"docid":"ff8d40660523ebe7778ac0c616fc28ed","score":"0.5693385","text":"boolean hasParentPageType();","title":""},{"docid":"823985b9b5d27cd0a0601b1e4f92a350","score":"0.56519955","text":"public boolean isPageOpened() {\n\t\ttry {\n\t\t\tTechnicalComponents.waitTill(textHeader, \"visible\");\n\t\t\tif (driver.getCurrentUrl().contains(urlsuffix)) {\n\t\t\t\treturn true;\n\t\t\t} else {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t} catch (FrameworkException e) {\n\t\t\tthrow new FrameworkException(\n\t\t\t\t\t\"Pricing analyze page Loaded within specified time.---\" + e.getClass() + \"---\" + e.getMessage());\n\t\t}\n\n\t}","title":""},{"docid":"4972941a4fadbc2395d1ca452c8c79b3","score":"0.5644396","text":"@Override\r\n\tpublic P navigateToPage() {\n\t\tString url = getApp().getBaseUrl() + getPagePath();\r\n\t\tgetDriver().navigateToUrl(url);\r\n\t\treturn verifyPage();\r\n\t}","title":""},{"docid":"fc0b2018d04023e9ee1014e66482448e","score":"0.56403244","text":"public abstract String getPageType();","title":""},{"docid":"f3f46b762dd38bfea7b60ae3a6f510c0","score":"0.563454","text":"public boolean isInitialPage(PortletModeType inMode, String portlet, String inPageName) {\n boolean isPage = false;\n if(null!=portletApp) {\n /**\n * Now get the Portlets in the portlet application.\n * NOTE- we only expect there to be one portlet per project so\n * we will only deal with the first portlet.\n */\n PortletType portletType = getPortlet(portlet);\n if(portletType != null) {\n InitParamType [] initParams = portletType.getInitParam();\n for(int ii=0; null != initParams && ii < initParams.length;ii++) {\n if(inMode.equals(PortletModeType.VIEW)) {\n if(initParams[ii].getName().equals(viewInitParamName)) {\n String pageValue = initParams[ii].getValue();\n if(null != pageValue) {\n\n if(pageValue.equals(inPageName)) {\n isPage=true;\n }\n }\n }\n } else if(inMode.equals(PortletModeType.EDIT)) {\n if(initParams[ii].getName().equals(editInitParamName)) {\n String pageValue = initParams[ii].getValue();\n if(null != pageValue) {\n\n if(pageValue.equals(inPageName)) {\n isPage=true;\n }\n }\n }\n } else if(inMode.equals(PortletModeType.HELP)) {\n if(initParams[ii].getName().equals(helpInitParamName)) {\n String pageValue = initParams[ii].getValue();\n if(null != pageValue) {\n\n if(pageValue.equals(inPageName)) {\n isPage=true;\n }\n }\n }\n }\n }\n }\n \n }\n return isPage;\n }","title":""},{"docid":"88fb435346f9f16348c6fe90e31e2378","score":"0.5634262","text":"protected <T extends Page> boolean isPageAuthorized(Class<T> pageClass)\n\t{\n\t\treturn true;\n\t}","title":""},{"docid":"64fc159c27c6b12ebc0c70082e31e9e2","score":"0.56105155","text":"boolean hasPageno();","title":""},{"docid":"64fc159c27c6b12ebc0c70082e31e9e2","score":"0.56105155","text":"boolean hasPageno();","title":""},{"docid":"64fc159c27c6b12ebc0c70082e31e9e2","score":"0.56105155","text":"boolean hasPageno();","title":""},{"docid":"64fc159c27c6b12ebc0c70082e31e9e2","score":"0.56105155","text":"boolean hasPageno();","title":""},{"docid":"750dc711dbc9f8fc077fe9fa648de59c","score":"0.56102836","text":"boolean shouldShowView(ResourceMethod method);","title":""},{"docid":"eeed936378f5898ca81858aa795696ac","score":"0.55773896","text":"boolean hasPageSize();","title":""},{"docid":"19157d82f9414c6bc3174412c70cc922","score":"0.557419","text":"public Boolean verifyResultsPageIsdisplayed() {\n\tboolean result = false;\n\ttry {\n\t\tLoggerInstance.logger.info(\"Going to Sub Tab\");\n\t\tFunctionLibrary.clickMenuItem(driver, fLib.getWebelment(driver, \"MainLink\"),\n\t\t\t\tfLib.getWebelment(driver, \"ResultsSubLink\"));\n\t\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\n\t\tresult = fLib.getWebelment(driver, \"Resultspage\").isDisplayed();\n\t\tif (result == true)\n\t\t\tLoggerInstance.logger.info(\"Results Page is displayed\");\n\t\treturn result;\n\t} catch (Exception e) {\n\t\tSystem.out.println(\"Exception: \" + e.getMessage());\n\t\tLoggerInstance.logger.info(\"Results Page is not displayed\");\n\t\treturn result;\n\t}\n}","title":""},{"docid":"eb721ab4b7ca527722f967d39bbc30c9","score":"0.5564253","text":"@Override\n\tpublic boolean responsePageLoad() {\n\n\t\t/**\n\t\t * This page is correctly placed in common - do not remove it to networking ease\n\t\t *\n\t\t * Its purpose is to securely post login details to networking ease and also so we\n\t\t * can dynamically load the details we want (as if we have a tab and no backing page,\n\t\t * we have to hard code the details to pass in the url)\n\t\t */\n\t\tsuper.responsePageLoad();\n\t\tif (!incompleteNeaseDetails && JSFUtil.getLoggedInUser()!=null) {\n\t\t\t//Load the user\n\t\t\tString nePassword = JSFUtil.getLoggedInUser().getNeasePassword();\n\t\t\tString neUsername = JSFUtil.getLoggedInUser().getNeaseUsername();\n\t\t\t\n\t\t\tLong neaseProjectId = Website.getCurrentWebsiteFromTabSession().getNeaseProjectId();\n\t\t\tif (neaseProjectId == null) {\n\t\t\t\tneaseProjectId = -1l;\n\t\t\t}\n\t\t\t\n\t\t\t//Check for valid nease details\n\t\t\tif (nePassword != null && neUsername != null && !nePassword.equals(\"\") && !neUsername.equals(\"\")) {\n\t\t\t\tincompleteNeaseDetails=false;\n\t\t\t} else {\n\t\t\t\tincompleteNeaseDetails=true;\n\t\t\t}\n\t\t}\n\t\treturn true;\n\t}","title":""},{"docid":"12dfeb9b3a8eb254f9e511dfb9a2cdc2","score":"0.5550547","text":"boolean hasOfflinePageType();","title":""},{"docid":"0c245385b58053aa99b9a7355ef3a6f7","score":"0.55471","text":"public boolean isSetPageInfo() {\n return this.pageInfo != null;\n }","title":""},{"docid":"0fabd4a8a9f6640fddf102eb5b53f9b0","score":"0.55465215","text":"private boolean findPagePrarameter(){\n\t\treturn this.pageParamter!=null;\n\t\t\t\t/*.orElseThrow(()->{\n\t\t\t\t\treturn new FileNamedQueryException(\"no Page type parameter found for paginaton method: \" + method.toGenericString());\n\t\t\t\t})*/\n\t}","title":""},{"docid":"5a3e291147de8f17b50c650bd0524694","score":"0.55400556","text":"public PortletModeType isInitialPage(String portlet, String inPageName) {\n PortletModeType returnMode = null;\n if(null!=portletApp) {\n /**\n * Now get the Portlets in the portlet application.\n * NOTE- we only expect there to be one portlet per project so\n * we will only deal with the first portlet.\n */\n PortletType portletType = getPortlet(portlet);\n if(portletType != null) {\n InitParamType [] initParams = portletType.getInitParam();\n for(int ii=0; null != initParams && ii < initParams.length;ii++) {\n String pageValue = initParams[ii].getValue();\n if(null != pageValue && pageValue.equals(inPageName)) {\n if(initParams[ii].getName().equals(viewInitParamName)) {\n returnMode = PortletModeType.VIEW;\n } else if (initParams[ii].getName().equals(editInitParamName)) {\n returnMode = PortletModeType.EDIT;\n } else if (initParams[ii].getName().equals(helpInitParamName)) {\n returnMode = PortletModeType.HELP;\n }\n } \n } \n }\n }\n return returnMode;\n }","title":""},{"docid":"72630a89df81bf440d00cf581a1e681c","score":"0.55397004","text":"@Test(priority = 14)\r\n\tpublic void isPageUnloadedTest() {\n\t}","title":""},{"docid":"1b233fc8203ceef17b519fc34c39fce6","score":"0.55372465","text":"abstract public boolean isMainView();","title":""},{"docid":"d9694fdacf59c580d8082ff50616b067","score":"0.5492915","text":"boolean hasPagePublishDate();","title":""},{"docid":"bbd9a7ef41bc4a28f6bb53e4a5dec8f3","score":"0.54911554","text":"int validatePage(int page){\n if(page < 0)\n return 0;\n return page;\n }","title":""},{"docid":"c5718c82c1e7e62a003062ebbf1bf1f9","score":"0.5484069","text":"public boolean isPageSet(int pageNo) throws IOException{\n // System.out.println(pageArr[pageNo]);\n boolean m=false;\n try{\n m=(pageArr[pageNo]!=-1);\n }\n catch(Exception e){\n ErrorHandler.throwError(ErrorHandler.ER_MEM_OUT_OF_RANGE);\n }\n return m;\n }","title":""},{"docid":"b850c93364bf456f838a3d8b3a802d87","score":"0.54666287","text":"boolean hasPagination();","title":""},{"docid":"b850c93364bf456f838a3d8b3a802d87","score":"0.54666287","text":"boolean hasPagination();","title":""},{"docid":"183a7fef012d587395dfe2f6e5428fb5","score":"0.54583925","text":"@Override\n\tpublic void assertInPage() {\n\t\t\n\t}","title":""},{"docid":"fa4174d1bd914ac62d83174b1e964839","score":"0.5428632","text":"public boolean redirectToSelectedView();","title":""},{"docid":"ced4518642561e2c99cd623f7cb6773d","score":"0.5424535","text":"public Boolean VerifyMicrositePageIsdisplayed() {\n\tboolean result = false;\n\ttry {\n\t\tLoggerInstance.logger.info(\"Going to Sub Tab\");\n\t\tFunctionLibrary.clickMenuItem(driver, fLib.getWebelment(driver, \"MainLink\"),\n\t\t\t\tfLib.getWebelment(driver, \"MicrositeSublink\"));\n\t\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\n\t\tresult = fLib.getWebelment(driver, \"Microsite\").isDisplayed();\n\t\tif (result == true)\n\t\t\tLoggerInstance.logger.info(\"Microsite Page is displayed\");\n\t\treturn result;\n\t} catch (Exception e) {\n\t\tSystem.out.println(\"Exception: \" + e.getMessage());\n\t\tLoggerInstance.logger.info(\"Microsite Page is not displayed\");\n\t\treturn result;\n\t}\n}","title":""},{"docid":"b1be01f3a47ea4e7213155703a0a0c9e","score":"0.5416175","text":"public static boolean isPossible()\n {\n return Page.checkExistance(locateUnselectedItemsPerPageOptions());\n }","title":""},{"docid":"668c17016f003fca4af26642462e3e57","score":"0.5411688","text":"public Boolean verifyIndustriesPageIsdisplayed() {\n\tboolean result = false;\n\ttry {\n\t\tLoggerInstance.logger.info(\"Going to Sub Tab\");\n\t\tFunctionLibrary.clickMenuItem(driver, fLib.getWebelment(driver, \"MainLink\"),\n\t\t\t\tfLib.getWebelment(driver, \"IndustriesSubTab\"));\n\t\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\n\t\tresult = fLib.getWebelment(driver, \"Industriespage\").isDisplayed();\n\t\tif (result == true)\n\t\t\tLoggerInstance.logger.info(\"Industries Page is displayed\");\n\t\treturn result;\n\t} catch (Exception e) {\n\t\tSystem.out.println(\"Exception: \" + e.getMessage());\n\t\tLoggerInstance.logger.info(\"Industries Page is not displayed\");\n\t\treturn result;\n\t}\n}","title":""},{"docid":"1f52b12d6ac173baa3a70ee3a47413e3","score":"0.54005855","text":"public boolean isExistPrePage() {\n return existsPreviousPage();\n }","title":""},{"docid":"ba23c44ddd3034da3dadbb67133da876","score":"0.5395002","text":"public final boolean GoToReservationsPage()\r\n\t{\r\n\t\tstrStepDescription = \"Navigate to reservations index page.\";\r\n\t\tstrExpectedResult = \"Reservations index page should be displayed.\";\r\n\t\tstrActualResult = \"\";\r\n\t\tisEventSuccessful = false;\r\n\t\ttry\r\n\t\t{\r\n\t\t\tlabelsXpath = getValueFromDictionary(dicOR, \"eleReservationIndexPgLabels\");\r\n\t\t}\r\n\t\tcatch (RuntimeException e)\r\n\t\t{\r\n\t\t\tisEventSuccessful = false;\r\n\t\t}\r\n\r\n\t\tif (isEventSuccessful)\r\n\t\t{\r\n\t\t\tisEventSuccessful = navigateToNavBarPages(\"Reservations\", \"eleReservationsHeader\");\r\n\t\t\tif (isEventSuccessful)\r\n\t\t\t{\r\n\t\t\t\tisEventSuccessful = PerformAction(labelsXpath.replace(\"__LABEL__\", \"Devices\"), Action.isDisplayed);\r\n\t\t\t\tif (isEventSuccessful)\r\n\t\t\t\t{\r\n\t\t\t\t\tstrActualResult = \"'Devices' element is displayed successfully on Reservation Index Page\";\r\n\t\t\t\t}\r\n\t\t\t\telse\r\n\t\t\t\t{\r\n\t\t\t\t\tstrActualResult = \"'Devices' element is not displayed successfully on Reservation Index Page\";\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\telse\r\n\t\t\t{\r\n\t\t\t\tstrActualResult = \"SelectFromMenu-- \" + strErrMsg_AppLib + \"\";\r\n\t\t\t}\r\n\t\t}\r\n\t\telse\r\n\t\t{\r\n\t\t\tstrActualResult = \"Could not get value of variable 'eleReservationIndexPgLabels' from dictionary 'dicOR'.\";\r\n\t\t}\r\n\t\treporter.ReportStep(strStepDescription, strExpectedResult, strActualResult, isEventSuccessful);\r\n\t\treturn isEventSuccessful;\r\n\t}","title":""},{"docid":"f56f5c2f5cb39f0423e0b162fd6612a2","score":"0.53936094","text":"private static boolean isTestPageData(PageData pageData) {\n return pageData.hasAttribute(TEST);\n }","title":""},{"docid":"45e3071462494b9765c931ac454b8201","score":"0.53912586","text":"@Override\r\n\tpublic boolean isPageLoaded() {\n\t\treturn false;\r\n\t}","title":""},{"docid":"45e3071462494b9765c931ac454b8201","score":"0.53912586","text":"@Override\r\n\tpublic boolean isPageLoaded() {\n\t\treturn false;\r\n\t}","title":""},{"docid":"6e37b8d1e9e6eb7efe615693f8349ff5","score":"0.53666633","text":"public boolean verifyPage(String url){\n boolean status=true;\n if(!driver.getCurrentUrl().contains(url)){\n status=false;\n }\n return status;\n }","title":""},{"docid":"450b4ab4e2a300b3a98dcf839eb776ae","score":"0.5356655","text":"public boolean isPageLoaded() {\n\t\treturn driver.getCurrentUrl().equals(\"https://opensource-demo.orangehrmlive.com/index.php/dashboard\");\n\t}","title":""},{"docid":"0232649b2220380f01e3055d02d74060","score":"0.5326632","text":"@Test\n\tpublic void CanViewAPostTest() {\n\t\tListPostPage.Operations.GoTo(PostType.Posts);\n\t\tPostCreator.CreatePost();\n\t\tListPostPage.Operations.ViewPost(PostCreator.PreviousTitle);\n\n\t\tAssert.assertTrue(\"Could not view a post\", ListPostPage.Assertions.IsViewingAPost(PostCreator.PreviousTitle));\n\t\tDriver.MoveBack();\n\t\tListPostPage.Operations.Trash(PostCreator.PreviousTitle);\n\t}","title":""},{"docid":"825f590213b48379460f9cd4f0c09eb3","score":"0.53259623","text":"boolean hasPageLanguage();","title":""},{"docid":"e111de1231f0f92b942d6d2c4073c2d9","score":"0.53163177","text":"@Test\n public void testComDayCqWcmCoreImplServletsContentfinderPageViewHandlerProperties() {\n // TODO: test ComDayCqWcmCoreImplServletsContentfinderPageViewHandlerProperties\n }","title":""},{"docid":"2bff871f75d2fae997ab497d1a449550","score":"0.53154725","text":"public boolean hasPagination();","title":""},{"docid":"834b6b500a8ac90ac22aa0b77a6e2b68","score":"0.531329","text":"public boolean isExistNextPage() {\n return existsNextPage();\n }","title":""},{"docid":"35e7e25ac32ea8b424a8a688b873a353","score":"0.53114444","text":"@Test\r\n\tpublic void testProcessShowProfileAndReturnsHome() {\n\t\tDonor donor = new Donor();\r\n\t\tString pageName = dController.processShowProfile(model, username);\r\n\t\t// Assert\r\n\t\tverify(dDao).getDonor(username);\r\n\t\tassertEquals(\"donor/DonorHome\", pageName);\r\n\t}","title":""},{"docid":"e60b9de7d46fd7b6462412dee7c4f63b","score":"0.53048146","text":"public boolean isreferpage() throws InterruptedException, Exception {\n\t\t\n\t\tboolean value = isElementPresent(By.id(prop.getAppProperty(\"niki_refer_socialwhtsapp_id\")));\n\t\treturn value;\n\t}","title":""},{"docid":"6c6a0f6111bfb5fd44d2a3dcaaec31ba","score":"0.5304687","text":"private boolean validatePage() {\n \n \t\tString locationFieldContents = getProjectLocationFieldValue();\n \n \t\tif (locationFieldContents.equals(\"\")) { //$NON-NLS-1$\n \t\t\tsetErrorMessage(null);\n \t\t\tsetMessage(\"No buildfile selected\");\n \t\t\treturn false;\n \t\t}\n \n \t\tIPath path = new Path(\"\"); //$NON-NLS-1$\n \t\tif (!path.isValidPath(locationFieldContents)) {\n \t\t\tsetErrorMessage(\"Location error\");\n \t\t\treturn false;\n \t\t}\n \n \t\tif (fAntModel == null) {\n \t\t\tsetErrorMessage(\"Specified buildfile could not be parsed successfully\");\n \t\t\treturn false;\n \t\t}\n \t\t\n \t\tif (getProjectNameFieldValue().length() == 0) {\n \t\t\tsetErrorMessage(\"Project name must be specified\");\n \t\t\treturn false;\n \t\t} else {\n \t\t\tIProject existingProject= ResourcesPlugin.getWorkspace().getRoot().getProject(getProjectNameFieldValue());\n \t\t\tif (existingProject.exists()) {\n \t\t\t\tsetErrorMessage(\"A project with the specified name already exists\");\n \t\t\t\treturn false;\n \t\t\t}\n \t\t}\n \n \t\tsetErrorMessage(null);\n \t\tsetMessage(null);\n \t\treturn true;\n \t}","title":""},{"docid":"c49430f078b43930c182cf0119e74823","score":"0.53011024","text":"public boolean isPartialView() {\n return this.ranges.isPartialView();\n }","title":""},{"docid":"a1ebce17baf97f44959000f942776b7a","score":"0.52819186","text":"public boolean isPageLoaded() {\n orderButton.isDisplayed();\n return true;\n }","title":""},{"docid":"6080c26ee2a5eb1a5d97e4f086cfde34","score":"0.52787197","text":"public boolean isSetPageOption() {\n return this.pageOption != null;\n }","title":""},{"docid":"6080c26ee2a5eb1a5d97e4f086cfde34","score":"0.52787197","text":"public boolean isSetPageOption() {\n return this.pageOption != null;\n }","title":""},{"docid":"6080c26ee2a5eb1a5d97e4f086cfde34","score":"0.52787197","text":"public boolean isSetPageOption() {\n return this.pageOption != null;\n }","title":""},{"docid":"6080c26ee2a5eb1a5d97e4f086cfde34","score":"0.52787197","text":"public boolean isSetPageOption() {\n return this.pageOption != null;\n }","title":""},{"docid":"6080c26ee2a5eb1a5d97e4f086cfde34","score":"0.52787197","text":"public boolean isSetPageOption() {\n return this.pageOption != null;\n }","title":""},{"docid":"6080c26ee2a5eb1a5d97e4f086cfde34","score":"0.52787197","text":"public boolean isSetPageOption() {\n return this.pageOption != null;\n }","title":""},{"docid":"9d758b400613bac47d948513e6e0e2f9","score":"0.52722555","text":"public SurveyViewPage verifyPageUrl() {\n (new WebDriverWait(driver, timeout * 2)).until(new ExpectedCondition<Boolean>() {\n public Boolean apply(WebDriver d) {\n return d.getCurrentUrl().contains(STRURLPath);\n }\n });\n return this;\n }","title":""},{"docid":"b8b8e542f36f18ac794a89231e5413cf","score":"0.52682674","text":"@Override\n public boolean performOk() {\n // nothing to do - read-only page\n return true;\n }","title":""},{"docid":"7b09b7f68e68fb5855d61768301540bc","score":"0.52637476","text":"public boolean isShowEnAppPageMenu() {\r\n if(UIUtil.getLanguage().equals(\"en-us\")){\r\n \tPagedGroup appPage = vpAdapter.getPagedGroup(0);\r\n \tView child = appPage.getFocusedChild();\r\n \tif (child instanceof ReflectImage) {\r\n \t\tReflectImage hoverView = (ReflectImage) child;\r\n \t\tMetroInfo info = hoverView.getMetroInfo();\r\n \t\tif(info.getItemType() == 9){\r\n \t\t\treturn true;\r\n \t\t}\r\n \t}\r\n }\r\n return false;\r\n }","title":""},{"docid":"637a6bd9023b7104dbd5fa1c6b0562d7","score":"0.5249863","text":"public boolean isLastPage(){\n\t\treturn initAcc + 6 > numAcc;\n\t}","title":""},{"docid":"0e3e61d9f5f900063301ad7cc49bbc8a","score":"0.52433014","text":"boolean hasWebpage();","title":""},{"docid":"0e3e61d9f5f900063301ad7cc49bbc8a","score":"0.52433014","text":"boolean hasWebpage();","title":""},{"docid":"5e696ec7aa22b610fc81d94d4044b6f1","score":"0.5232866","text":"@Override\r\n\tpublic PageView queryPage(PageView pageView, Map paramMap) {\n\t\treturn null;\r\n\t}","title":""},{"docid":"11c455cd9979115b26c4089f8daf104d","score":"0.5205155","text":"public boolean isPageOpened() {\n\t\ttry {\n\t\t\tTechnicalComponents.waitTill(text_FirstName, \"visible\");\n\t\t\tif (driver.getCurrentUrl().contains(urlsuffix)) {\n\t\t\t\treturn true;\n\t\t\t} else {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t} catch (FrameworkException e) {\n\t\t\tthrow new FrameworkException(\n\t\t\t\t\t\"Signup Not Loaded within specified time.---\" + e.getClass() + \"---\" + e.getMessage());\n\t\t}\n\n\t}","title":""},{"docid":"33e352d125ec93db95a51317bd29246a","score":"0.5200615","text":"boolean hasPageRank();","title":""},{"docid":"d9bd3b78a8eeee827f23965f0da93a46","score":"0.51829296","text":"public boolean isPartialView() {\n return true;\n }","title":""},{"docid":"5b7f56e03ce831854cbc5de761e2ab14","score":"0.5173141","text":"@Test\n public void shouldBeAbleToLandOnHomePage(){\n driver.get(baseUrl);\n assertTrue(homeMainPage.checkOnCorrectPage());\n }","title":""},{"docid":"041c23077f13077bcb1f672e82791850","score":"0.5169691","text":"public boolean isSetPage() {\n return EncodingUtils.testBit(__isset_bitfield, __PAGE_ISSET_ID);\n }","title":""},{"docid":"041c23077f13077bcb1f672e82791850","score":"0.5169691","text":"public boolean isSetPage() {\n return EncodingUtils.testBit(__isset_bitfield, __PAGE_ISSET_ID);\n }","title":""},{"docid":"041c23077f13077bcb1f672e82791850","score":"0.5169691","text":"public boolean isSetPage() {\n return EncodingUtils.testBit(__isset_bitfield, __PAGE_ISSET_ID);\n }","title":""}],"string":"[\n {\n \"docid\": \"dcc89e2fb87fb02fbc700c47bbcc8caf\",\n \"score\": \"0.7044268\",\n \"text\": \"protected abstract boolean checkPageContent();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"055b9ca37cfacd3b4b6f04e4f685e28e\",\n \"score\": \"0.69460756\",\n \"text\": \"boolean hasPage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b65daf46247d4fcdd6b2dfd60138258\",\n \"score\": \"0.66680896\",\n \"text\": \"boolean hasPageType();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c200ad97b8d511eb6a5a6257a5d9a0b8\",\n \"score\": \"0.6512554\",\n \"text\": \"boolean hasPageInfo();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d8dbf8935d97ac9de00affc3a950ba42\",\n \"score\": \"0.6392616\",\n \"text\": \"@Override\\n \\tpublic boolean hasViewPermissionForPageKey(String pageKey,IWUserContext iwuc) {\\n \\t\\tPagePermissionObject pageKeyObject = new PagePermissionObject(pageKey);\\n \\t\\ttry {\\n \\t\\t\\tboolean permission = hasPermission(PERMISSION_KEY_VIEW, pageKeyObject, iwuc);\\n \\t\\t\\tif (!permission) {\\n \\t\\t\\t\\t//if regular user check fails do extra check for content roles\\n \\t\\t\\t\\treturn hasRole(StandardRoles.ROLE_KEY_AUTHOR, iwuc) || hasRole(StandardRoles.ROLE_KEY_EDITOR, iwuc);\\n \\t\\t\\t}\\n \\n \\t\\t\\t//even if you have the view rights the page might not be published yet.\\n \\t\\t\\t//extra check for unpublished pages\\n \\t\\t\\tICPageHome pageHome = (ICPageHome) IDOLookup.getHome(ICPage.class);\\n \\t\\t\\tICPage page = pageHome.findByPrimaryKey(pageKey);\\n \\n \\t\\t\\tif (page.getDeleted()) {\\n \\t\\t\\t\\treturn false;\\n \\t\\t\\t}\\n \\t\\t\\tif (!page.isPublished()) {\\n \\t\\t\\t\\t//only editors can view unpublished pages.\\n \\t\\t\\t\\treturn hasRole(StandardRoles.ROLE_KEY_AUTHOR, iwuc) || hasRole(StandardRoles.ROLE_KEY_EDITOR, iwuc);\\n \\t\\t\\t}\\n \\n \\t\\t\\treturn permission;\\n \\t\\t}\\n \\t\\tcatch (Exception e) {\\n \\t\\t\\te.printStackTrace();\\n \\t\\t\\treturn false;\\n \\t\\t}\\n \\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e6df032f1ad9cad2bba63d2a0bc71c42\",\n \"score\": \"0.6327624\",\n \"text\": \"public abstract boolean isInFirstPage( );\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62397e600fda22747a3bfb9ffccaa6b0\",\n \"score\": \"0.63266903\",\n \"text\": \"@Override\\n\\tpublic void checkPage() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62397e600fda22747a3bfb9ffccaa6b0\",\n \"score\": \"0.63266903\",\n \"text\": \"@Override\\n\\tpublic void checkPage() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7656249d173ac6fc7a29733123bfc3db\",\n \"score\": \"0.630173\",\n \"text\": \"@Override\\n\\tpublic boolean isAtDesiredPage(WebDriver drv, URI siteURL)\\n\\t\\t\\tthrows IllegalStateException {\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cc135dd696c73daae40e8ff99dcf04d1\",\n \"score\": \"0.62923485\",\n \"text\": \"@Override\\n\\tpublic void checkPage() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ea049dfb686d0c4d8e9c57c1571f2865\",\n \"score\": \"0.62502897\",\n \"text\": \"boolean hasViewType();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"789c8b210a881c30ebe6ba151bfc7bf7\",\n \"score\": \"0.6229025\",\n \"text\": \"boolean isPageValidation();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd4c9985fe52447358f58965068c94f7\",\n \"score\": \"0.6228787\",\n \"text\": \"@Override\\r\\n public boolean canHandleView(String view, HttpServletRequest req,\\r\\n HttpServletResponse res) {\\n return false;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8d6f5da6f114f5e55a8cd3aa5664cfb2\",\n \"score\": \"0.6173811\",\n \"text\": \"public boolean isSetPage() {\\n return this.page != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"833368bf39a70208cb7d9fc5fa0a7abf\",\n \"score\": \"0.61681175\",\n \"text\": \"@Override\\n \\tpublic boolean hasViewPermissionForPageURI(String pageUri,HttpServletRequest request){\\n \\n \\t \\tHttpSession session = request.getSession();\\n \\t \\tServletContext sc = session.getServletContext();\\n \\n \\t \\t//TODO: Optimize this since this has to be done for each request:\\n \\t \\tIWUserContext iwuc = new IWUserContextImpl(session,sc);\\n \\n \\t \\ttry {\\n \\t \\t\\tString serverName = request.getServerName();\\n \\t \\t\\tBuilderService bs = BuilderServiceFactory.getBuilderService(iwuc.getApplicationContext());\\n \\t \\t\\tString pageKey = bs.getPageKeyByRequestURIAndServerName(pageUri,serverName);\\n \\t \\t\\tif(pageKey!=null){\\n \\t \\t\\t\\treturn hasViewPermissionForPageKey(pageKey,iwuc);\\n \\t \\t\\t}\\n \\t \\t\\telse{\\n \\t \\t\\t\\t//getLogger().warning(\\\"No pageKey found for : \\\"+pageUri);\\n \\t \\t\\t\\treturn false;\\n \\t \\t\\t}\\n \\t\\t}\\n \\t\\tcatch (Exception e) {\\n \\t\\t\\te.printStackTrace();\\n \\t\\t}\\n \\t \\treturn false;\\n \\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22dbe9f8e190bcf3f813370782b8ee0a\",\n \"score\": \"0.61162394\",\n \"text\": \"public abstract boolean isTalkPage(String pageName);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"13cc7dc8523cdb1042f118e41e0a7c9f\",\n \"score\": \"0.6035468\",\n \"text\": \"public boolean moreThanOnePage() {\\n return this.mResultView.getLayoutManager().findViewByPosition(0) == null || this.mResultView.getLayoutManager().findViewByPosition(this.mResultAdapter.getItemCount() - 1) == null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22f1cc24e8845c6a055d8d862b8ec8ef\",\n \"score\": \"0.601071\",\n \"text\": \"boolean hasView();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"47f6135fae956103dc0b1ec0bed4e9ee\",\n \"score\": \"0.59400594\",\n \"text\": \"PageView getPageView();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb26b4352ca9547146ddc2e5769141c5\",\n \"score\": \"0.5910417\",\n \"text\": \"boolean hasViewOption();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"826a8d51f757e60c347efd3817be78ff\",\n \"score\": \"0.58524776\",\n \"text\": \"private boolean checkNavigationAccess() {\\n\\t if(resources.getPageName().equalsIgnoreCase(\\\"Login\\\")) {\\n\\t\\t return true;\\n\\t }\\n\\t \\n\\t for(String page : nonLoginPages) {\\n\\t\\t if(resources.getPageName().equalsIgnoreCase(page)) {\\n\\t\\t\\t return true;\\n\\t\\t }\\n\\t }\\n\\t \\n\\t if(user.getUsername() != null) {\\n\\t\\t //Change nonLoginPages here back to judgePages\\n\\t\\t for(String page : judgePages) {\\n\\t\\t\\t if(resources.getPageName().equalsIgnoreCase(page)) {\\n\\t\\t\\t\\t return true;\\n\\t\\t\\t }\\n\\t\\t }\\n\\t\\t \\n\\t\\t if(user.getMainJudge())\\n\\t\\t {\\n\\t\\t\\t for(String page : mainJudgePages) {\\n\\t\\t\\t\\t if(resources.getPageName().equalsIgnoreCase(page)) {\\n\\t\\t\\t\\t\\t return true;\\n\\t\\t\\t\\t }\\n\\t\\t\\t }\\n\\t\\t }\\n\\t }\\n\\t \\n\\t return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a47b0eb85e8e9a7747c21586ba0070b3\",\n \"score\": \"0.58281386\",\n \"text\": \"public boolean hasPage(Node document) throws RepositoryException, MoxtraClientException, MoxtraException {\\n touch();\\n boolean isDocument = isPageNode(document, true);\\n if (isDocument) {\\n return true;\\n } else {\\n boolean isConversation = isPageContent(document, false); // don't force refresh here again\\n return isConversation;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad139bfb8ecd28ee97b827098dc45f3c\",\n \"score\": \"0.58092785\",\n \"text\": \"public boolean hasPage() {\\n return ((bitField0_ & 0x00000004) == 0x00000004);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1cf9cfef60970a6fceb537ce827b48e3\",\n \"score\": \"0.579382\",\n \"text\": \"private void verifyApplicationInCorrectPage() {\\n\\t\\tif (!isValidPage()) {\\n\\t\\t\\tString stepName=\\\"Navigation to Page\\\";\\n\\t\\t\\tString message=\\\"The application is not in the expected page , current page: \\\" + \\n\\t\\t\\t\\t\\tbrowser.getTitle() +\\\" Page.\\\";\\t\\t\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2abdfba7cfb7614f547de6af753d305\",\n \"score\": \"0.57912594\",\n \"text\": \"public Boolean verifyPaginationdisplayed()\\n{\\n\\tboolean result= false;\\n\\ttry{\\n\\t\\t result=fLib.getWebelment(driver, \\\"PaginationDisplayed\\\").isDisplayed();\\n\\t\\t if (result==true)\\n\\t\\t LoggerInstance.logger.info(\\\"Pagination is displayed at the bottom.\\\");\\n\\t\\t return result;\\n\\t}\\n\\tcatch (Exception e) \\n\\t{\\n\\t\\tSystem.out.println(\\\"Exception: \\\" + e.getMessage());\\n\\t\\tLoggerInstance.logger.info(\\\"Pagination is not displayed.\\\");\\n\\t\\treturn result;\\n\\t}\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1bc657bad66704c87b9c19203667483\",\n \"score\": \"0.57778436\",\n \"text\": \"boolean hasParentPage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9404abacce69c42b966aa986908104c7\",\n \"score\": \"0.5770807\",\n \"text\": \"public boolean hasPage() {\\n return ((bitField0_ & 0x00000004) == 0x00000004);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a820c3de0bbd73d442d71e07f0c3231a\",\n \"score\": \"0.5755936\",\n \"text\": \"public Boolean isThisPage() throws Exception\\n\\t{\\n\\t\\tBoolean flag=false;\\n\\t\\tflag=element(\\\"cecd.title\\\").isDisplayed();\\n\\t\\treturn flag;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"63f49d0b4295926768e87ae0755833aa\",\n \"score\": \"0.5748859\",\n \"text\": \"public PageView getView();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6ca838b985ad6431386f7601c294c1c6\",\n \"score\": \"0.57325107\",\n \"text\": \"public abstract boolean isInLastPage( );\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d8cdb9dd7407e2f57f777fded3b8163\",\n \"score\": \"0.5725965\",\n \"text\": \"public Boolean VerifyAnnoucementPageIsdisplayed() {\\n\\tboolean result = false;\\n\\ttry {\\n\\t\\tLoggerInstance.logger.info(\\\"Going to Sub Tab\\\");\\n\\t\\tFunctionLibrary.clickMenuItem(driver, fLib.getWebelment(driver, \\\"MainLink\\\"),\\n\\t\\t\\t\\tfLib.getWebelment(driver, \\\"AnnoucementsSubLink\\\"));\\n\\t\\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\\n\\t\\tresult = fLib.getWebelment(driver, \\\"Annoucement\\\").isDisplayed();\\n\\t\\tif (result == true)\\n\\t\\t\\tLoggerInstance.logger.info(\\\"Annoucement Page is displayed\\\");\\n\\t\\treturn result;\\n\\t} catch (Exception e) {\\n\\t\\tSystem.out.println(\\\"Exception: \\\" + e.getMessage());\\n\\t\\tLoggerInstance.logger.info(\\\"Annoucement Page is not displayed\\\");\\n\\t\\treturn result;\\n\\t}\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a3af1b19f0e96852590fb9c8fecfc015\",\n \"score\": \"0.5725367\",\n \"text\": \"private boolean isPageValid(final Document page) {\\n return JsoupUtils.exists(\\\"#list_apps_by_subject\\\", page) && JsoupUtils.exists(\\\".pager\\\", page);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"190bedc0e021c23e7d5b1bdc9130a399\",\n \"score\": \"0.5707758\",\n \"text\": \"public Boolean VerifyDocumentPageIsdisplayed() {\\n\\tboolean result = false;\\n\\ttry {\\n\\t\\tLoggerInstance.logger.info(\\\"Going to Sub Tab\\\");\\n\\t\\tFunctionLibrary.clickMenuItem(driver, fLib.getWebelment(driver, \\\"MainLink\\\"),\\n\\t\\t\\t\\tfLib.getWebelment(driver, \\\"DocumentSubTab\\\"));\\n\\t\\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\\n\\t\\tresult = fLib.getWebelment(driver, \\\"CompanyDocument\\\").isDisplayed();\\n\\t\\tif (result == true)\\n\\t\\t\\tLoggerInstance.logger.info(\\\"Document Page is displayed\\\");\\n\\t\\treturn result;\\n\\t} catch (Exception e) {\\n\\t\\tSystem.out.println(\\\"Exception: \\\" + e.getMessage());\\n\\t\\tLoggerInstance.logger.info(\\\"Document Page is not displayed\\\");\\n\\t\\treturn result;\\n\\t}\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff8d40660523ebe7778ac0c616fc28ed\",\n \"score\": \"0.5693385\",\n \"text\": \"boolean hasParentPageType();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"823985b9b5d27cd0a0601b1e4f92a350\",\n \"score\": \"0.56519955\",\n \"text\": \"public boolean isPageOpened() {\\n\\t\\ttry {\\n\\t\\t\\tTechnicalComponents.waitTill(textHeader, \\\"visible\\\");\\n\\t\\t\\tif (driver.getCurrentUrl().contains(urlsuffix)) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t} catch (FrameworkException e) {\\n\\t\\t\\tthrow new FrameworkException(\\n\\t\\t\\t\\t\\t\\\"Pricing analyze page Loaded within specified time.---\\\" + e.getClass() + \\\"---\\\" + e.getMessage());\\n\\t\\t}\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4972941a4fadbc2395d1ca452c8c79b3\",\n \"score\": \"0.5644396\",\n \"text\": \"@Override\\r\\n\\tpublic P navigateToPage() {\\n\\t\\tString url = getApp().getBaseUrl() + getPagePath();\\r\\n\\t\\tgetDriver().navigateToUrl(url);\\r\\n\\t\\treturn verifyPage();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fc0b2018d04023e9ee1014e66482448e\",\n \"score\": \"0.56403244\",\n \"text\": \"public abstract String getPageType();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f3f46b762dd38bfea7b60ae3a6f510c0\",\n \"score\": \"0.563454\",\n \"text\": \"public boolean isInitialPage(PortletModeType inMode, String portlet, String inPageName) {\\n boolean isPage = false;\\n if(null!=portletApp) {\\n /**\\n * Now get the Portlets in the portlet application.\\n * NOTE- we only expect there to be one portlet per project so\\n * we will only deal with the first portlet.\\n */\\n PortletType portletType = getPortlet(portlet);\\n if(portletType != null) {\\n InitParamType [] initParams = portletType.getInitParam();\\n for(int ii=0; null != initParams && ii < initParams.length;ii++) {\\n if(inMode.equals(PortletModeType.VIEW)) {\\n if(initParams[ii].getName().equals(viewInitParamName)) {\\n String pageValue = initParams[ii].getValue();\\n if(null != pageValue) {\\n\\n if(pageValue.equals(inPageName)) {\\n isPage=true;\\n }\\n }\\n }\\n } else if(inMode.equals(PortletModeType.EDIT)) {\\n if(initParams[ii].getName().equals(editInitParamName)) {\\n String pageValue = initParams[ii].getValue();\\n if(null != pageValue) {\\n\\n if(pageValue.equals(inPageName)) {\\n isPage=true;\\n }\\n }\\n }\\n } else if(inMode.equals(PortletModeType.HELP)) {\\n if(initParams[ii].getName().equals(helpInitParamName)) {\\n String pageValue = initParams[ii].getValue();\\n if(null != pageValue) {\\n\\n if(pageValue.equals(inPageName)) {\\n isPage=true;\\n }\\n }\\n }\\n }\\n }\\n }\\n \\n }\\n return isPage;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"88fb435346f9f16348c6fe90e31e2378\",\n \"score\": \"0.5634262\",\n \"text\": \"protected <T extends Page> boolean isPageAuthorized(Class<T> pageClass)\\n\\t{\\n\\t\\treturn true;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"64fc159c27c6b12ebc0c70082e31e9e2\",\n \"score\": \"0.56105155\",\n \"text\": \"boolean hasPageno();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"64fc159c27c6b12ebc0c70082e31e9e2\",\n \"score\": \"0.56105155\",\n \"text\": \"boolean hasPageno();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"64fc159c27c6b12ebc0c70082e31e9e2\",\n \"score\": \"0.56105155\",\n \"text\": \"boolean hasPageno();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"64fc159c27c6b12ebc0c70082e31e9e2\",\n \"score\": \"0.56105155\",\n \"text\": \"boolean hasPageno();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"750dc711dbc9f8fc077fe9fa648de59c\",\n \"score\": \"0.56102836\",\n \"text\": \"boolean shouldShowView(ResourceMethod method);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eeed936378f5898ca81858aa795696ac\",\n \"score\": \"0.55773896\",\n \"text\": \"boolean hasPageSize();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"19157d82f9414c6bc3174412c70cc922\",\n \"score\": \"0.557419\",\n \"text\": \"public Boolean verifyResultsPageIsdisplayed() {\\n\\tboolean result = false;\\n\\ttry {\\n\\t\\tLoggerInstance.logger.info(\\\"Going to Sub Tab\\\");\\n\\t\\tFunctionLibrary.clickMenuItem(driver, fLib.getWebelment(driver, \\\"MainLink\\\"),\\n\\t\\t\\t\\tfLib.getWebelment(driver, \\\"ResultsSubLink\\\"));\\n\\t\\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\\n\\t\\tresult = fLib.getWebelment(driver, \\\"Resultspage\\\").isDisplayed();\\n\\t\\tif (result == true)\\n\\t\\t\\tLoggerInstance.logger.info(\\\"Results Page is displayed\\\");\\n\\t\\treturn result;\\n\\t} catch (Exception e) {\\n\\t\\tSystem.out.println(\\\"Exception: \\\" + e.getMessage());\\n\\t\\tLoggerInstance.logger.info(\\\"Results Page is not displayed\\\");\\n\\t\\treturn result;\\n\\t}\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb721ab4b7ca527722f967d39bbc30c9\",\n \"score\": \"0.5564253\",\n \"text\": \"@Override\\n\\tpublic boolean responsePageLoad() {\\n\\n\\t\\t/**\\n\\t\\t * This page is correctly placed in common - do not remove it to networking ease\\n\\t\\t *\\n\\t\\t * Its purpose is to securely post login details to networking ease and also so we\\n\\t\\t * can dynamically load the details we want (as if we have a tab and no backing page,\\n\\t\\t * we have to hard code the details to pass in the url)\\n\\t\\t */\\n\\t\\tsuper.responsePageLoad();\\n\\t\\tif (!incompleteNeaseDetails && JSFUtil.getLoggedInUser()!=null) {\\n\\t\\t\\t//Load the user\\n\\t\\t\\tString nePassword = JSFUtil.getLoggedInUser().getNeasePassword();\\n\\t\\t\\tString neUsername = JSFUtil.getLoggedInUser().getNeaseUsername();\\n\\t\\t\\t\\n\\t\\t\\tLong neaseProjectId = Website.getCurrentWebsiteFromTabSession().getNeaseProjectId();\\n\\t\\t\\tif (neaseProjectId == null) {\\n\\t\\t\\t\\tneaseProjectId = -1l;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t//Check for valid nease details\\n\\t\\t\\tif (nePassword != null && neUsername != null && !nePassword.equals(\\\"\\\") && !neUsername.equals(\\\"\\\")) {\\n\\t\\t\\t\\tincompleteNeaseDetails=false;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tincompleteNeaseDetails=true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn true;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12dfeb9b3a8eb254f9e511dfb9a2cdc2\",\n \"score\": \"0.5550547\",\n \"text\": \"boolean hasOfflinePageType();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0c245385b58053aa99b9a7355ef3a6f7\",\n \"score\": \"0.55471\",\n \"text\": \"public boolean isSetPageInfo() {\\n return this.pageInfo != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0fabd4a8a9f6640fddf102eb5b53f9b0\",\n \"score\": \"0.55465215\",\n \"text\": \"private boolean findPagePrarameter(){\\n\\t\\treturn this.pageParamter!=null;\\n\\t\\t\\t\\t/*.orElseThrow(()->{\\n\\t\\t\\t\\t\\treturn new FileNamedQueryException(\\\"no Page type parameter found for paginaton method: \\\" + method.toGenericString());\\n\\t\\t\\t\\t})*/\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a3e291147de8f17b50c650bd0524694\",\n \"score\": \"0.55400556\",\n \"text\": \"public PortletModeType isInitialPage(String portlet, String inPageName) {\\n PortletModeType returnMode = null;\\n if(null!=portletApp) {\\n /**\\n * Now get the Portlets in the portlet application.\\n * NOTE- we only expect there to be one portlet per project so\\n * we will only deal with the first portlet.\\n */\\n PortletType portletType = getPortlet(portlet);\\n if(portletType != null) {\\n InitParamType [] initParams = portletType.getInitParam();\\n for(int ii=0; null != initParams && ii < initParams.length;ii++) {\\n String pageValue = initParams[ii].getValue();\\n if(null != pageValue && pageValue.equals(inPageName)) {\\n if(initParams[ii].getName().equals(viewInitParamName)) {\\n returnMode = PortletModeType.VIEW;\\n } else if (initParams[ii].getName().equals(editInitParamName)) {\\n returnMode = PortletModeType.EDIT;\\n } else if (initParams[ii].getName().equals(helpInitParamName)) {\\n returnMode = PortletModeType.HELP;\\n }\\n } \\n } \\n }\\n }\\n return returnMode;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"72630a89df81bf440d00cf581a1e681c\",\n \"score\": \"0.55397004\",\n \"text\": \"@Test(priority = 14)\\r\\n\\tpublic void isPageUnloadedTest() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b233fc8203ceef17b519fc34c39fce6\",\n \"score\": \"0.55372465\",\n \"text\": \"abstract public boolean isMainView();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9694fdacf59c580d8082ff50616b067\",\n \"score\": \"0.5492915\",\n \"text\": \"boolean hasPagePublishDate();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bbd9a7ef41bc4a28f6bb53e4a5dec8f3\",\n \"score\": \"0.54911554\",\n \"text\": \"int validatePage(int page){\\n if(page < 0)\\n return 0;\\n return page;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c5718c82c1e7e62a003062ebbf1bf1f9\",\n \"score\": \"0.5484069\",\n \"text\": \"public boolean isPageSet(int pageNo) throws IOException{\\n // System.out.println(pageArr[pageNo]);\\n boolean m=false;\\n try{\\n m=(pageArr[pageNo]!=-1);\\n }\\n catch(Exception e){\\n ErrorHandler.throwError(ErrorHandler.ER_MEM_OUT_OF_RANGE);\\n }\\n return m;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b850c93364bf456f838a3d8b3a802d87\",\n \"score\": \"0.54666287\",\n \"text\": \"boolean hasPagination();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b850c93364bf456f838a3d8b3a802d87\",\n \"score\": \"0.54666287\",\n \"text\": \"boolean hasPagination();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"183a7fef012d587395dfe2f6e5428fb5\",\n \"score\": \"0.54583925\",\n \"text\": \"@Override\\n\\tpublic void assertInPage() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa4174d1bd914ac62d83174b1e964839\",\n \"score\": \"0.5428632\",\n \"text\": \"public boolean redirectToSelectedView();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ced4518642561e2c99cd623f7cb6773d\",\n \"score\": \"0.5424535\",\n \"text\": \"public Boolean VerifyMicrositePageIsdisplayed() {\\n\\tboolean result = false;\\n\\ttry {\\n\\t\\tLoggerInstance.logger.info(\\\"Going to Sub Tab\\\");\\n\\t\\tFunctionLibrary.clickMenuItem(driver, fLib.getWebelment(driver, \\\"MainLink\\\"),\\n\\t\\t\\t\\tfLib.getWebelment(driver, \\\"MicrositeSublink\\\"));\\n\\t\\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\\n\\t\\tresult = fLib.getWebelment(driver, \\\"Microsite\\\").isDisplayed();\\n\\t\\tif (result == true)\\n\\t\\t\\tLoggerInstance.logger.info(\\\"Microsite Page is displayed\\\");\\n\\t\\treturn result;\\n\\t} catch (Exception e) {\\n\\t\\tSystem.out.println(\\\"Exception: \\\" + e.getMessage());\\n\\t\\tLoggerInstance.logger.info(\\\"Microsite Page is not displayed\\\");\\n\\t\\treturn result;\\n\\t}\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b1be01f3a47ea4e7213155703a0a0c9e\",\n \"score\": \"0.5416175\",\n \"text\": \"public static boolean isPossible()\\n {\\n return Page.checkExistance(locateUnselectedItemsPerPageOptions());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"668c17016f003fca4af26642462e3e57\",\n \"score\": \"0.5411688\",\n \"text\": \"public Boolean verifyIndustriesPageIsdisplayed() {\\n\\tboolean result = false;\\n\\ttry {\\n\\t\\tLoggerInstance.logger.info(\\\"Going to Sub Tab\\\");\\n\\t\\tFunctionLibrary.clickMenuItem(driver, fLib.getWebelment(driver, \\\"MainLink\\\"),\\n\\t\\t\\t\\tfLib.getWebelment(driver, \\\"IndustriesSubTab\\\"));\\n\\t\\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\\n\\t\\tresult = fLib.getWebelment(driver, \\\"Industriespage\\\").isDisplayed();\\n\\t\\tif (result == true)\\n\\t\\t\\tLoggerInstance.logger.info(\\\"Industries Page is displayed\\\");\\n\\t\\treturn result;\\n\\t} catch (Exception e) {\\n\\t\\tSystem.out.println(\\\"Exception: \\\" + e.getMessage());\\n\\t\\tLoggerInstance.logger.info(\\\"Industries Page is not displayed\\\");\\n\\t\\treturn result;\\n\\t}\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f52b12d6ac173baa3a70ee3a47413e3\",\n \"score\": \"0.54005855\",\n \"text\": \"public boolean isExistPrePage() {\\n return existsPreviousPage();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba23c44ddd3034da3dadbb67133da876\",\n \"score\": \"0.5395002\",\n \"text\": \"public final boolean GoToReservationsPage()\\r\\n\\t{\\r\\n\\t\\tstrStepDescription = \\\"Navigate to reservations index page.\\\";\\r\\n\\t\\tstrExpectedResult = \\\"Reservations index page should be displayed.\\\";\\r\\n\\t\\tstrActualResult = \\\"\\\";\\r\\n\\t\\tisEventSuccessful = false;\\r\\n\\t\\ttry\\r\\n\\t\\t{\\r\\n\\t\\t\\tlabelsXpath = getValueFromDictionary(dicOR, \\\"eleReservationIndexPgLabels\\\");\\r\\n\\t\\t}\\r\\n\\t\\tcatch (RuntimeException e)\\r\\n\\t\\t{\\r\\n\\t\\t\\tisEventSuccessful = false;\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tif (isEventSuccessful)\\r\\n\\t\\t{\\r\\n\\t\\t\\tisEventSuccessful = navigateToNavBarPages(\\\"Reservations\\\", \\\"eleReservationsHeader\\\");\\r\\n\\t\\t\\tif (isEventSuccessful)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tisEventSuccessful = PerformAction(labelsXpath.replace(\\\"__LABEL__\\\", \\\"Devices\\\"), Action.isDisplayed);\\r\\n\\t\\t\\t\\tif (isEventSuccessful)\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\tstrActualResult = \\\"'Devices' element is displayed successfully on Reservation Index Page\\\";\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\tstrActualResult = \\\"'Devices' element is not displayed successfully on Reservation Index Page\\\";\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\telse\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tstrActualResult = \\\"SelectFromMenu-- \\\" + strErrMsg_AppLib + \\\"\\\";\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\telse\\r\\n\\t\\t{\\r\\n\\t\\t\\tstrActualResult = \\\"Could not get value of variable 'eleReservationIndexPgLabels' from dictionary 'dicOR'.\\\";\\r\\n\\t\\t}\\r\\n\\t\\treporter.ReportStep(strStepDescription, strExpectedResult, strActualResult, isEventSuccessful);\\r\\n\\t\\treturn isEventSuccessful;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f56f5c2f5cb39f0423e0b162fd6612a2\",\n \"score\": \"0.53936094\",\n \"text\": \"private static boolean isTestPageData(PageData pageData) {\\n return pageData.hasAttribute(TEST);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"45e3071462494b9765c931ac454b8201\",\n \"score\": \"0.53912586\",\n \"text\": \"@Override\\r\\n\\tpublic boolean isPageLoaded() {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"45e3071462494b9765c931ac454b8201\",\n \"score\": \"0.53912586\",\n \"text\": \"@Override\\r\\n\\tpublic boolean isPageLoaded() {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e37b8d1e9e6eb7efe615693f8349ff5\",\n \"score\": \"0.53666633\",\n \"text\": \"public boolean verifyPage(String url){\\n boolean status=true;\\n if(!driver.getCurrentUrl().contains(url)){\\n status=false;\\n }\\n return status;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"450b4ab4e2a300b3a98dcf839eb776ae\",\n \"score\": \"0.5356655\",\n \"text\": \"public boolean isPageLoaded() {\\n\\t\\treturn driver.getCurrentUrl().equals(\\\"https://opensource-demo.orangehrmlive.com/index.php/dashboard\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0232649b2220380f01e3055d02d74060\",\n \"score\": \"0.5326632\",\n \"text\": \"@Test\\n\\tpublic void CanViewAPostTest() {\\n\\t\\tListPostPage.Operations.GoTo(PostType.Posts);\\n\\t\\tPostCreator.CreatePost();\\n\\t\\tListPostPage.Operations.ViewPost(PostCreator.PreviousTitle);\\n\\n\\t\\tAssert.assertTrue(\\\"Could not view a post\\\", ListPostPage.Assertions.IsViewingAPost(PostCreator.PreviousTitle));\\n\\t\\tDriver.MoveBack();\\n\\t\\tListPostPage.Operations.Trash(PostCreator.PreviousTitle);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"825f590213b48379460f9cd4f0c09eb3\",\n \"score\": \"0.53259623\",\n \"text\": \"boolean hasPageLanguage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e111de1231f0f92b942d6d2c4073c2d9\",\n \"score\": \"0.53163177\",\n \"text\": \"@Test\\n public void testComDayCqWcmCoreImplServletsContentfinderPageViewHandlerProperties() {\\n // TODO: test ComDayCqWcmCoreImplServletsContentfinderPageViewHandlerProperties\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2bff871f75d2fae997ab497d1a449550\",\n \"score\": \"0.53154725\",\n \"text\": \"public boolean hasPagination();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"834b6b500a8ac90ac22aa0b77a6e2b68\",\n \"score\": \"0.531329\",\n \"text\": \"public boolean isExistNextPage() {\\n return existsNextPage();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35e7e25ac32ea8b424a8a688b873a353\",\n \"score\": \"0.53114444\",\n \"text\": \"@Test\\r\\n\\tpublic void testProcessShowProfileAndReturnsHome() {\\n\\t\\tDonor donor = new Donor();\\r\\n\\t\\tString pageName = dController.processShowProfile(model, username);\\r\\n\\t\\t// Assert\\r\\n\\t\\tverify(dDao).getDonor(username);\\r\\n\\t\\tassertEquals(\\\"donor/DonorHome\\\", pageName);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e60b9de7d46fd7b6462412dee7c4f63b\",\n \"score\": \"0.53048146\",\n \"text\": \"public boolean isreferpage() throws InterruptedException, Exception {\\n\\t\\t\\n\\t\\tboolean value = isElementPresent(By.id(prop.getAppProperty(\\\"niki_refer_socialwhtsapp_id\\\")));\\n\\t\\treturn value;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6c6a0f6111bfb5fd44d2a3dcaaec31ba\",\n \"score\": \"0.5304687\",\n \"text\": \"private boolean validatePage() {\\n \\n \\t\\tString locationFieldContents = getProjectLocationFieldValue();\\n \\n \\t\\tif (locationFieldContents.equals(\\\"\\\")) { //$NON-NLS-1$\\n \\t\\t\\tsetErrorMessage(null);\\n \\t\\t\\tsetMessage(\\\"No buildfile selected\\\");\\n \\t\\t\\treturn false;\\n \\t\\t}\\n \\n \\t\\tIPath path = new Path(\\\"\\\"); //$NON-NLS-1$\\n \\t\\tif (!path.isValidPath(locationFieldContents)) {\\n \\t\\t\\tsetErrorMessage(\\\"Location error\\\");\\n \\t\\t\\treturn false;\\n \\t\\t}\\n \\n \\t\\tif (fAntModel == null) {\\n \\t\\t\\tsetErrorMessage(\\\"Specified buildfile could not be parsed successfully\\\");\\n \\t\\t\\treturn false;\\n \\t\\t}\\n \\t\\t\\n \\t\\tif (getProjectNameFieldValue().length() == 0) {\\n \\t\\t\\tsetErrorMessage(\\\"Project name must be specified\\\");\\n \\t\\t\\treturn false;\\n \\t\\t} else {\\n \\t\\t\\tIProject existingProject= ResourcesPlugin.getWorkspace().getRoot().getProject(getProjectNameFieldValue());\\n \\t\\t\\tif (existingProject.exists()) {\\n \\t\\t\\t\\tsetErrorMessage(\\\"A project with the specified name already exists\\\");\\n \\t\\t\\t\\treturn false;\\n \\t\\t\\t}\\n \\t\\t}\\n \\n \\t\\tsetErrorMessage(null);\\n \\t\\tsetMessage(null);\\n \\t\\treturn true;\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c49430f078b43930c182cf0119e74823\",\n \"score\": \"0.53011024\",\n \"text\": \"public boolean isPartialView() {\\n return this.ranges.isPartialView();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a1ebce17baf97f44959000f942776b7a\",\n \"score\": \"0.52819186\",\n \"text\": \"public boolean isPageLoaded() {\\n orderButton.isDisplayed();\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6080c26ee2a5eb1a5d97e4f086cfde34\",\n \"score\": \"0.52787197\",\n \"text\": \"public boolean isSetPageOption() {\\n return this.pageOption != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6080c26ee2a5eb1a5d97e4f086cfde34\",\n \"score\": \"0.52787197\",\n \"text\": \"public boolean isSetPageOption() {\\n return this.pageOption != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6080c26ee2a5eb1a5d97e4f086cfde34\",\n \"score\": \"0.52787197\",\n \"text\": \"public boolean isSetPageOption() {\\n return this.pageOption != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6080c26ee2a5eb1a5d97e4f086cfde34\",\n \"score\": \"0.52787197\",\n \"text\": \"public boolean isSetPageOption() {\\n return this.pageOption != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6080c26ee2a5eb1a5d97e4f086cfde34\",\n \"score\": \"0.52787197\",\n \"text\": \"public boolean isSetPageOption() {\\n return this.pageOption != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6080c26ee2a5eb1a5d97e4f086cfde34\",\n \"score\": \"0.52787197\",\n \"text\": \"public boolean isSetPageOption() {\\n return this.pageOption != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d758b400613bac47d948513e6e0e2f9\",\n \"score\": \"0.52722555\",\n \"text\": \"public SurveyViewPage verifyPageUrl() {\\n (new WebDriverWait(driver, timeout * 2)).until(new ExpectedCondition<Boolean>() {\\n public Boolean apply(WebDriver d) {\\n return d.getCurrentUrl().contains(STRURLPath);\\n }\\n });\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8b8e542f36f18ac794a89231e5413cf\",\n \"score\": \"0.52682674\",\n \"text\": \"@Override\\n public boolean performOk() {\\n // nothing to do - read-only page\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b09b7f68e68fb5855d61768301540bc\",\n \"score\": \"0.52637476\",\n \"text\": \"public boolean isShowEnAppPageMenu() {\\r\\n if(UIUtil.getLanguage().equals(\\\"en-us\\\")){\\r\\n \\tPagedGroup appPage = vpAdapter.getPagedGroup(0);\\r\\n \\tView child = appPage.getFocusedChild();\\r\\n \\tif (child instanceof ReflectImage) {\\r\\n \\t\\tReflectImage hoverView = (ReflectImage) child;\\r\\n \\t\\tMetroInfo info = hoverView.getMetroInfo();\\r\\n \\t\\tif(info.getItemType() == 9){\\r\\n \\t\\t\\treturn true;\\r\\n \\t\\t}\\r\\n \\t}\\r\\n }\\r\\n return false;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"637a6bd9023b7104dbd5fa1c6b0562d7\",\n \"score\": \"0.5249863\",\n \"text\": \"public boolean isLastPage(){\\n\\t\\treturn initAcc + 6 > numAcc;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e3e61d9f5f900063301ad7cc49bbc8a\",\n \"score\": \"0.52433014\",\n \"text\": \"boolean hasWebpage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e3e61d9f5f900063301ad7cc49bbc8a\",\n \"score\": \"0.52433014\",\n \"text\": \"boolean hasWebpage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5e696ec7aa22b610fc81d94d4044b6f1\",\n \"score\": \"0.5232866\",\n \"text\": \"@Override\\r\\n\\tpublic PageView queryPage(PageView pageView, Map paramMap) {\\n\\t\\treturn null;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"11c455cd9979115b26c4089f8daf104d\",\n \"score\": \"0.5205155\",\n \"text\": \"public boolean isPageOpened() {\\n\\t\\ttry {\\n\\t\\t\\tTechnicalComponents.waitTill(text_FirstName, \\\"visible\\\");\\n\\t\\t\\tif (driver.getCurrentUrl().contains(urlsuffix)) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t} catch (FrameworkException e) {\\n\\t\\t\\tthrow new FrameworkException(\\n\\t\\t\\t\\t\\t\\\"Signup Not Loaded within specified time.---\\\" + e.getClass() + \\\"---\\\" + e.getMessage());\\n\\t\\t}\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"33e352d125ec93db95a51317bd29246a\",\n \"score\": \"0.5200615\",\n \"text\": \"boolean hasPageRank();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9bd3b78a8eeee827f23965f0da93a46\",\n \"score\": \"0.51829296\",\n \"text\": \"public boolean isPartialView() {\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5b7f56e03ce831854cbc5de761e2ab14\",\n \"score\": \"0.5173141\",\n \"text\": \"@Test\\n public void shouldBeAbleToLandOnHomePage(){\\n driver.get(baseUrl);\\n assertTrue(homeMainPage.checkOnCorrectPage());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"041c23077f13077bcb1f672e82791850\",\n \"score\": \"0.5169691\",\n \"text\": \"public boolean isSetPage() {\\n return EncodingUtils.testBit(__isset_bitfield, __PAGE_ISSET_ID);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"041c23077f13077bcb1f672e82791850\",\n \"score\": \"0.5169691\",\n \"text\": \"public boolean isSetPage() {\\n return EncodingUtils.testBit(__isset_bitfield, __PAGE_ISSET_ID);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"041c23077f13077bcb1f672e82791850\",\n \"score\": \"0.5169691\",\n \"text\": \"public boolean isSetPage() {\\n return EncodingUtils.testBit(__isset_bitfield, __PAGE_ISSET_ID);\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990995,"cells":{"query_id":{"kind":"string","value":"d9f646141d47d0cd950ee9510df4d569"},"query":{"kind":"string","value":"Gets the stemming dictionary configured for the search domain."},"positive_passages":{"kind":"list like","value":[{"docid":"b9b7dd3da2dd1260f327f435f23fb403","score":"0.44638667","text":"public DescribeStemmingOptionsResult describeStemmingOptions(DescribeStemmingOptionsRequest describeStemmingOptionsRequest) {\n ExecutionContext executionContext = createExecutionContext(describeStemmingOptionsRequest);\n AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();\n Request<DescribeStemmingOptionsRequest> request = null;\n Response<DescribeStemmingOptionsResult> response = null;\n awsRequestMetrics.startEvent(Field.ClientExecuteTime);\n try {\n request = new DescribeStemmingOptionsRequestMarshaller().marshall(describeStemmingOptionsRequest);\n // Binds the request metrics to the current request.\n request.setAWSRequestMetrics(awsRequestMetrics);\n response = invoke(request, new DescribeStemmingOptionsResultStaxUnmarshaller(), executionContext);\n return response.getAwsResponse();\n } finally {\n endClientExecution(awsRequestMetrics, request, response);\n }\n }","title":""}],"string":"[\n {\n \"docid\": \"b9b7dd3da2dd1260f327f435f23fb403\",\n \"score\": \"0.44638667\",\n \"text\": \"public DescribeStemmingOptionsResult describeStemmingOptions(DescribeStemmingOptionsRequest describeStemmingOptionsRequest) {\\n ExecutionContext executionContext = createExecutionContext(describeStemmingOptionsRequest);\\n AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();\\n Request<DescribeStemmingOptionsRequest> request = null;\\n Response<DescribeStemmingOptionsResult> response = null;\\n awsRequestMetrics.startEvent(Field.ClientExecuteTime);\\n try {\\n request = new DescribeStemmingOptionsRequestMarshaller().marshall(describeStemmingOptionsRequest);\\n // Binds the request metrics to the current request.\\n request.setAWSRequestMetrics(awsRequestMetrics);\\n response = invoke(request, new DescribeStemmingOptionsResultStaxUnmarshaller(), executionContext);\\n return response.getAwsResponse();\\n } finally {\\n endClientExecution(awsRequestMetrics, request, response);\\n }\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"1e3fa3b9450bf75608df9de41ad26c72","score":"0.65699434","text":"public StemSearch getStemSearch() {\r\n return this.stemSearch;\r\n }","title":""},{"docid":"d4a9d2f141b2a89478d97f0a6ea2034c","score":"0.5932626","text":"default String getStem() {\n return meta(\"nlpcraft:nlp:stem\");\n }","title":""},{"docid":"c3b6864e9ceffecdb9e4a394839aff87","score":"0.5634137","text":"@Override\n\tpublic String getStemming(String phrase) {\n\t\treturn null;\n\t}","title":""},{"docid":"2dc542e5a33c8e4a67511ee2273e3deb","score":"0.5515676","text":"public char[] getStem() {\n return stem;\n }","title":""},{"docid":"c416e4f82eaa65e4dff84875ea61d098","score":"0.54642135","text":"public String Stem( String word )\n {\n // check if we already know the word\n String stemmedword = AllWords.get(word);\n if ( stemmedword != null )\n return stemmedword; // return it if we already know it\n\n // don't check words with digits in them\n // if ( containsNumbers (word) == true )\n // stemmedword = null;\n // else\t// unknown word: try to stem it\n stemmedword = StemWordWithWordNet (word);\n\n if ( stemmedword != null )\n {\n // word was recognized and stemmed with wordnet:\n // add it to hashmap and return the stemmed word\n AllWords.put( word, stemmedword );\n return stemmedword;\n }\n // word could not be stemmed by wordnet,\n // thus it is no correct english word\n // just add it to the list of known words so\n // we won't have to look it up again\n AllWords.put( word, word );\n return word;\n }","title":""},{"docid":"f956e1a21ec9196910a15777d05da6e4","score":"0.5158746","text":"String stemOf (String word);","title":""},{"docid":"c49b49d1731c0093831f2f32eb6cae39","score":"0.51305276","text":"public HunspellStemmer(HunspellDictionary dictionary) {\n this.dictionary = dictionary;\n }","title":""},{"docid":"1880f22feec65384439cb251484fea73","score":"0.5122217","text":"private void populateDictionaryByLemmatizer() throws IOException {\n\n Enumeration e = dictionaryTerms.keys();\n while (e.hasMoreElements()) {\n String word = (String) e.nextElement();\n String tag = dictionaryTerms.get(word);\n\n if (!(word.contains(\" \")||word.contains(\"+\") ||word.contains(\"\\\"\") ||word.contains(\"'\")||word.contains(\".\") ||word.contains(\":\") || word.contains(\"(\") || word.contains(\")\") ||word.contains(\"-\")|| word.contains(\";\"))) {\n String tokenizedWords[] = tokenize(word);\n\n if (tokenizedWords.length == 1) {\n List<String> stemmings = stanfordLemmatizer.lemmatize(word);\n\n for (int i = 0; i < stemmings.size(); i++) {\n if (!dictionaryTerms.containsKey(stemmings.get(i))) {\n dictionaryTerms.put(stemmings.get(i), tag);\n System.out.println(\"Stemming: \" + word + \"\\t\" + stemmings.get(i));\n }\n }\n }\n }\n }\n }","title":""},{"docid":"84631b8a6e4fee0d72d7ed0cc6ca48bf","score":"0.5078761","text":"public Stemmer ()\n {\n AllWords = new HashMap<String,String>();\n dictionary = Dictionary.getInstance();\n p = PointerUtils.getInstance();\n\n try\n {\n // JWNL.initialize(new FileInputStream(\"file_properties.xml\"));\n JWNLConnecter.initializeJWNL();\n dic = Dictionary.getInstance();\n morph = dic.getMorphologicalProcessor();\n // ((AbstractCachingDictionary)dic).\n //\tsetCacheCapacity (10000);\n IsInitialized = true;\n }\n catch (Exception e){\n System.err.println(e.getMessage());\n }\n /*catch ( FileNotFoundException e )\n {\n System.out.println ( \"Error initializing Stemmer: JWNLproperties.xml not found\" );\n }\n catch ( JWNLException e )\n {\n System.out.println ( \"Error initializing Stemmer: \"\n + e.toString() );\n }*/\n\n }","title":""},{"docid":"81656263da9efd4ee170e8837aac0adc","score":"0.50376594","text":"private void populateDictionaryBySynonyms() {\n\n Enumeration e = dictionaryTerms.keys();\n while (e.hasMoreElements()) {\n String word = (String) e.nextElement();\n String tag = dictionaryTerms.get(word);\n\n ArrayList<String> synonyms = PyDictionary.findSynonyms(word);\n\n for (int i = 0; i < synonyms.size(); i++) {\n if (!dictionaryTerms.containsKey(synonyms.get(i))) {\n dictionaryTerms.put(synonyms.get(i), tag);\n }\n }\n }\n }","title":""},{"docid":"968274dadeb8adad64f0d77dd3a233f6","score":"0.5033714","text":"public static String getDeterminedSearchTerm() {\n\t\treturn determinedSearchTerm;\n\t}","title":""},{"docid":"ad01dc17d7065936546219b638846d78","score":"0.5033138","text":"protected String stem(String term) {\r\n\t\tStemmer stemmer = new Stemmer();\r\n\t\tfor(char a : term.toCharArray()){\r\n\t\t\tstemmer.add(a);\r\n\t\t}\r\n\t\tstemmer.stem();\r\n\t\treturn stemmer.toString();\r\n\t}","title":""},{"docid":"5d77739591a713378b317d8dca9713b4","score":"0.48874664","text":"public static String preprocessStemAndTokenize(String data) {\n\n\t\tSet<String> transformedSet = new HashSet<String>(); //Set will make sure only unique terms are kept\n\t\tStringBuilder strBuilder = new StringBuilder();\n\t\tTokenizer analyzer = new Tokenizer(Version.LUCENE_30);\n\t\tTokenStream tokenStream = analyzer.tokenStream(\"\", new StringReader(data));\n\t\tTermAttribute termAttribute;\n\t\tString term;\n\t\t//System.out.println(\"The value of data in tokenizeAndStem: \"+ data);\n\t\ttry {\n\t\t\twhile (tokenStream.incrementToken()) {\n\t\t\t\ttermAttribute = tokenStream.getAttribute(TermAttribute.class);\n\t\t\t\tterm = termAttribute.term(); \n\t\t\t\tif (stopwords.contains(term)){ //ignore stopwords\n\t\t\t\t\t//System.out.println(\"Contains stopword: \"+ term);\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (digitPattern.matcher(term).find()) //ignore digits\n\t\t\t\t\tcontinue;\n\t\t\t\tif(term.length() <= 1) //ignore 1 letter words\n\t\t\t\t\tcontinue;\n\t\t\t\t\n\t\t\t\tif (!digitPattern.matcher(term).find()){ //ignore digits\n\t\t\t\t\tstemmer.setCurrent(term);\n\t\t\t\t\tstemmer.stem();\n\t\t\t\t\ttransformedSet.add(stemmer.getCurrent());\n\t\t\t\t}\n\t\t\t}\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\t//System.out.println(\"transormed set size in tokenizeAndStem: \"+ transformedSet.size());\n\t\tfor(Object token: transformedSet.toArray()){\n\t\t\tstrBuilder.append(token).append(\" \");\n\t\t}\n\t\t//System.out.println(\"String returned in tokenizeAndStem:\"+ strBuilder.toString());\n\t\treturn strBuilder.toString();\n\t}","title":""},{"docid":"8c30c67e6a121c5bbb80dd1ab598f2b2","score":"0.4869271","text":"public List<Stem> stem(String word) {\n return stem(word.toCharArray(), word.length());\n }","title":""},{"docid":"44f74402c92cdaa9959440da4d6b6652","score":"0.4850999","text":"public static String stem(String word){\n Stemmer s = new Stemmer();\n s.add(word.toCharArray(), word.length());\n s.stem();\n return s.toString();\n }","title":""},{"docid":"00ff0737616619a0e82e3a4b318edfc6","score":"0.48471662","text":"public WnStemmer(IDictionary dict) {\n if(dict == null)\n \tthrow new NullPointerException();\n this.dict = dict;\n }","title":""},{"docid":"289cc585044d8b661af59423d202cc6c","score":"0.48266584","text":"public void getThesaurusMap (String wordTofind) {\r\n\t \tfor (Entry<String, List> entry : tMap.entrySet()) {\r\n\t \t\tList singleListofSynonims = entry.getValue();\r\n\t \t\tif (singleListofSynonims.contains(wordTofind)){\r\n\t \t\t\t\r\n\t \t\t\tmappedList.add(singleListofSynonims);\r\n\t \t\t\tGoogleToThesarus.put(wordTofind,singleListofSynonims);\r\n\t \t\t}\r\n\t \t\telse {\r\n\t \t\t\t//System.out.println(\"value not in map\");\r\n\t \t}\r\n\t \t}\r\n\t }","title":""},{"docid":"99025440ac19db7ea0d3ef5845591748","score":"0.48138428","text":"public Glyph getStem ()\r\n {\r\n return stem;\r\n }","title":""},{"docid":"33cf3c02af1980993e524af563a00bc8","score":"0.4749879","text":"public String getSpelling() {\n\t\treturn this.spelling;\n\t}","title":""},{"docid":"b2741065bb2d7c3befe335148927c4bc","score":"0.47471717","text":"public List<Trie> findStemDescending(String stem) {\n if (stem == null)\n return new ArrayList<>();\n Trie start = find(stem);\n if (start == null)\n return new ArrayList<>();\n return start.getAll();\n }","title":""},{"docid":"a5fc7ec086d0d69cda2bedfc9d629c92","score":"0.4746981","text":"public String getSpelling() {\n\t\t\treturn this.spelling;\n\t\t}","title":""},{"docid":"9dc8619844590b08213486788c072438","score":"0.47428882","text":"public LocalTermDictionary getLocalTermDictionary()\n {\n return AceDictionary.getInstance();\n }","title":""},{"docid":"6f32f1f5853495f6e8a9e4efc70b8adf","score":"0.47270092","text":"public static LinkedList<String> getSynonym(String word) {\n\t\tLinkedList<String> res = new LinkedList<String>();\n\t\tif (dict.containsKey(word)) {\n\t\t\tres = dict.get(word);\n\t\t}\n\t\treturn res;\n\t}","title":""},{"docid":"7c13bae44b866d4ca4d5801bf776f7df","score":"0.46919304","text":"private String processWord(String word){\r\n\t\tString lword = word.toLowerCase();\r\n\t\tfor (int i = 0;i<word.length();++i){\r\n\t\t\tstemmer.add(lword.charAt(i));\r\n\t\t}\r\n\t\tstemmer.stem();\r\n\t\treturn stemmer.toString();\r\n\t}","title":""},{"docid":"7537a7ce871d139443fc3e9838e39a6d","score":"0.4690917","text":"@Override\r\n\tpublic String getName() {\r\n\t\treturn \"StemMethodAnalyzer\";\r\n\t}","title":""},{"docid":"07c0f794a05a85c6edbb713629c1d801","score":"0.4676399","text":"public static String stemWordPorter(String word) {\n Stemmer st = new Stemmer();\n st.add(word.toCharArray(), word.length());\n st.stem();\n return st.toString();\n }","title":""},{"docid":"3d9653a4380af6ba49ebfd62553dc49f","score":"0.46749339","text":"private String stemmingForAWord(String identifiedWord) {\n String word;\n if (identifiedWord.contains(\"_\")) {\n word = identifiedWord;\n } else {\n word = morphology.stem(identifiedWord);\n }\n return word;\n }","title":""},{"docid":"08311e2b866fda1961138cf43eecd338","score":"0.46402523","text":"@Override\n public List<DefinitionDTO> findWordsByWord(String query) {\n List<Word> words = wordRepository.findBySearchString(query);\n return DTOMapper.mapWordListToDefinitionDTOList(words);\n }","title":""},{"docid":"74a4fe4d42ffd7306b4a5b718013f039","score":"0.46265605","text":"public List<String> getRelatedWords(String word) throws IOException {\n List<String> result = new ArrayList<String>();\n IDictionary dict = new Dictionary(new File(WORDNET_LOCATION));\n try {\n dict.open();\n IStemmer stemmer = new WordnetStemmer(dict);\n for (POS pos : EnumSet.of(POS.ADJECTIVE, POS.ADVERB, POS.NOUN, POS.VERB)) {\n List<String> resultForPos = new ArrayList<String>();\n List<String> stems = new ArrayList<String>();\n stems.add(word);\n for (String stem : stemmer.findStems(word, pos)) {\n if (!stems.contains(stem))\n stems.add(stem);\n }\n for (String stem : stems) {\n if (!resultForPos.contains(stem)) {\n resultForPos.add(stem);\n IIndexWord idxWord = dict.getIndexWord(stem, pos);\n if (idxWord == null) continue;\n List<IWordID> wordIDs = idxWord.getWordIDs();\n if (wordIDs == null) continue;\n IWordID wordID = wordIDs.get(0);\n IWord iword = dict.getWord(wordID);\n \n ISynset synonyms = iword.getSynset();\n List<IWord> iRelatedWords = synonyms.getWords();\n if (iRelatedWords != null) {\n for (IWord iRelatedWord : iRelatedWords) {\n String relatedWord = iRelatedWord.getLemma();\n if (!resultForPos.contains(relatedWord))\n resultForPos.add(relatedWord);\n }\n }\n \n List<ISynsetID> hypernymIDs = synonyms.getRelatedSynsets();\n if (hypernymIDs != null) {\n for (ISynsetID relatedSynsetID : hypernymIDs) {\n ISynset relatedSynset = dict.getSynset(relatedSynsetID);\n if (relatedSynset != null) {\n iRelatedWords = relatedSynset.getWords();\n if (iRelatedWords != null) {\n for (IWord iRelatedWord : iRelatedWords) {\n String relatedWord = iRelatedWord.getLemma();\n if (!resultForPos.contains(relatedWord))\n resultForPos.add(relatedWord);\n }\n }\n }\n }\n }\n }\n }\n for (String relatedWord : resultForPos) {\n if (relatedWord.length() > 3\n && !relatedWord.contains(\"-\")\n && !result.contains(relatedWord)) {\n // TODO: Hack alert!\n // The - check is to prevent lucene from interpreting hyphenated words as negative search terms\n // Fix!\n result.add(relatedWord);\n }\n }\n }\n } finally {\n dict.close();\n }\n return result;\n }","title":""},{"docid":"12512b7bdc7fa355c9adf9d5f624fb9a","score":"0.46050647","text":"private Map<String,Map<String,List<String>>> buildDictionary(Document doc){\n\t\t\n\t\tElement root = doc.getDocumentElement();\n\t\t\n\t\t\n\t\tMap<String,Map<String,List<String>>> dictionary = new HashMap<String,Map<String,List<String>>>();\n\t\tthis.termSet = new TreeSet<String>();\n\t\t\n\t\tNodeList termList = doc.getElementsByTagName(\"term\");\n\t\tfor(int i = 0; i < termList.getLength(); i++){\n\t\t\tElement termElement = (Element) termList.item(i);\n\t\t\tElement nameElement = (Element) termElement.getElementsByTagName(\"name\").item(0);\n\t\t\tString name = nameElement.getTextContent();\n\t\t\tthis.termSet.add(name);\n\n\t\t\tMap<String,List<String>> synonymGroup = new HashMap<String,List<String>>();\n\t\t\tsynonymGroup.put(\"exact\", new ArrayList<String>());\n\t\t\tsynonymGroup.put(\"related\", new ArrayList<String>());\n\t\t\tsynonymGroup.put(\"broad\", new ArrayList<String>());\n\t\t\tsynonymGroup.put(\"narrow\", new ArrayList<String>());\n\t\t\t\n\t\t\tNodeList synonyms = termElement.getElementsByTagName(\"synonym\");\n\t\t\tfor(int j=0; j<synonyms.getLength(); j++){\n\t\t\t\tElement synonymElement = (Element) synonyms.item(j);\n\t\t\t\tString synonym = synonymElement.getTextContent();\n\t\t\t\tString scope = synonymElement.getAttribute(\"scope\");\n\t\t\t\t//System.out.println(scope);\n\t\t\t\tList<String> synonymList = (List<String>) synonymGroup.get(scope);\n\t\t\t\t\n\t\t\t\t//System.out.println(synonym);\n\t\t\t\t\n\t\t\t\tsynonymList.add(synonym);\n\t\t\t}\n\t\t\t\n\t\t\tdictionary.put(name,synonymGroup);\t\t\n\t\t\t\n\t\t}\n\t\t\n\t\treturn dictionary;\n\t}","title":""},{"docid":"614eab94d9b54bd8c503cb0280fefbd8","score":"0.46044594","text":"public Scope getStemScope() {\r\n if (StringUtils.isBlank(this.stemScopeString)) {\r\n return Scope.SUB;\r\n }\r\n return Scope.valueOfIgnoreCase(this.stemScopeString, true);\r\n }","title":""},{"docid":"9768adc29e3d23e47e8bd8680557a4de","score":"0.46007052","text":"private void parseConfig() {\n try {\n synonymAnalyzers = new HashMap<>();\n\n Object xmlSynonymAnalyzers = args.get(\"synonymAnalyzers\");\n\n if (xmlSynonymAnalyzers != null && xmlSynonymAnalyzers instanceof NamedList) {\n NamedList<?> synonymAnalyzersList = (NamedList<?>) xmlSynonymAnalyzers;\n for (Entry<String, ?> entry : synonymAnalyzersList) {\n String analyzerName = entry.getKey();\n if (!(entry.getValue() instanceof NamedList)) {\n continue;\n }\n NamedList<?> analyzerAsNamedList = (NamedList<?>) entry.getValue();\n\n TokenizerFactory tokenizerFactory = null;\n TokenFilterFactory filterFactory;\n List<TokenFilterFactory> filterFactories = new LinkedList<>();\n\n for (Entry<String, ?> analyzerEntry : analyzerAsNamedList) {\n String key = analyzerEntry.getKey();\n if (!(entry.getValue() instanceof NamedList)) {\n continue;\n }\n Map<String, String> params = convertNamedListToMap((NamedList<?>)analyzerEntry.getValue());\n\n String className = params.get(\"class\");\n if (className == null) {\n continue;\n }\n\n params.put(\"luceneMatchVersion\", luceneMatchVersion.toString());\n\n if (key.equals(\"tokenizer\")) {\n try {\n tokenizerFactory = TokenizerFactory.forName(className, params);\n } catch (IllegalArgumentException iae) {\n if (!className.contains(\".\")) {\n iae.printStackTrace();\n }\n // Now try by classname instead of SPI keyword\n tokenizerFactory = loader.newInstance(className, TokenizerFactory.class, new String[]{}, new Class[] { Map.class }, new Object[] { params });\n }\n if (tokenizerFactory instanceof ResourceLoaderAware) {\n ((ResourceLoaderAware)tokenizerFactory).inform(loader);\n }\n } else if (key.equals(\"filter\")) {\n try {\n filterFactory = TokenFilterFactory.forName(className, params);\n } catch (IllegalArgumentException iae) {\n if (!className.contains(\".\")) {\n iae.printStackTrace();\n }\n // Now try by classname instead of SPI keyword\n filterFactory = loader.newInstance(className, TokenFilterFactory.class, new String[]{}, new Class[] { Map.class }, new Object[] { params });\n }\n if (filterFactory instanceof ResourceLoaderAware) {\n ((ResourceLoaderAware)filterFactory).inform(loader);\n }\n filterFactories.add(filterFactory);\n }\n }\n if (tokenizerFactory == null) {\n throw new SolrException(ErrorCode.SERVER_ERROR,\n \"tokenizer must not be null for synonym analyzer: \" + analyzerName);\n } else if (filterFactories.isEmpty()) {\n throw new SolrException(ErrorCode.SERVER_ERROR,\n \"filter factories must be defined for synonym analyzer: \" + analyzerName);\n }\n\n TokenizerChain analyzer = new TokenizerChain(tokenizerFactory,\n filterFactories.toArray(new TokenFilterFactory[filterFactories.size()]));\n\n synonymAnalyzers.put(analyzerName, analyzer);\n }\n }\n } catch (IOException e) {\n throw new SolrException(ErrorCode.SERVER_ERROR, \"Failed to create parser. Check your config.\", e);\n }\n }","title":""},{"docid":"d17600ca6800cc45d5e2ecce75001994","score":"0.45957613","text":"@Override\n public Map<String, Class> getDictionary() {\n synchronized (mapper) {\n LinkedHashMap<String, Class> dictionary = new LinkedHashMap<>();\n mapper.fillDictionary(null, dictionary);\n return dictionary;\n }\n }","title":""},{"docid":"c2ed225e4b25dc675d88a8336bea50cf","score":"0.45845842","text":"private static String analyzeTerm(String term) {\n String ret = term.toLowerCase();\n if (stopWords.contains(ret) || ret.isEmpty())\n return \"\";\n return stemmer.stem(ret);\n }","title":""},{"docid":"f916cc01ab0a8074afd1a05c39e29cae","score":"0.45765924","text":"String getSynonyms();","title":""},{"docid":"60db4cf2e39f9b14fb689418296efd65","score":"0.4564045","text":"public static String stemWord(String word) {\n if (word.matches(\".*\\\\s.*\")) throw \n new IllegalArgumentException(\"argument is not a single word: \" + word); \n EnglishStemmer stemmer = new EnglishStemmer();\n stemmer.setCurrent(word);\n stemmer.stem();\n return stemmer.getCurrent();\n // slow way of doing it with jcas\n// List<TokenCanonic> c = getCanonicForms(word, CanonicForm.STEM);\n// return c.get(0).canonic;\n }","title":""},{"docid":"800568d971fcd27c4d9a34e3ae776879","score":"0.45633838","text":"public String stem(String str) {\n\n if (str.length() <= 2) {\n return str;\n }\n String stemmed = super.stem(str);\n while (!stemmed.equals(str)) {\n str = stemmed;\n stemmed = super.stem(stemmed);\n }\n return stemmed;\n }","title":""},{"docid":"3f36e21e6c73f847f23810131b93258f","score":"0.45390233","text":"public static String stemvString(String raws)\n\t{\n\t\tString os = \"\";\n\t\tfor (String w : raws.split(\"\\\\s+\"))\n\t\t{\n\t\t\tos = os + dictUtils.getStemWord(w) + \" \";\n\t\t}\n\t\treturn os;\n\t}","title":""},{"docid":"8a376c63362fe1abac5bfa267216ad4d","score":"0.45103592","text":"public static String getRoot(String word)\n\t{\n\t\treturn (new Stemmer()).stem(word);\n\t}","title":""},{"docid":"034785d8b7f4df570471b68d829d6a93","score":"0.44929126","text":"@Override\r\n public String stem(String word) {\r\n List<String> lemmas = new LinkedList<String>();\r\n // Create an empty Annotation just with the given text\r\n Annotation document = new Annotation(word);\r\n // run all Annotators on this text\r\n this.pipeline.annotate(document);\r\n // Iterate over all of the sentences found\r\n List<CoreMap> sentences = document.get(CoreAnnotations.SentencesAnnotation.class);\r\n for (CoreMap sentence : sentences) {\r\n // Iterate over all tokens in a sentence\r\n for (CoreLabel token : sentence.get(CoreAnnotations.TokensAnnotation.class)) {\r\n // Retrieve and add the lemma for each word into the\r\n // list of lemmas\r\n lemmas.add(token.get(CoreAnnotations.LemmaAnnotation.class));\r\n }\r\n }\r\n return lemmas.get(0);\r\n\r\n }","title":""},{"docid":"48edc94f445db00f4b6af5af40c76da2","score":"0.44813037","text":"static void ReadQuery(String input) throws FileNotFoundException {\n input = input.replaceAll(\"[^A-Za-z]\",\" \");\n String[] arr = input.split(\" \"); // splitting the whole string into words by split on the basis of white spaces\n\n\n for(int i=0; i<arr.length; i++) {\n String termWord = arr[i].toLowerCase();\t//same pre-processing is applied to all the query word\n //termWord = RemoveSpecialCharacter(termWord);\n termWord = removeStopWords(termWord);\n\n if(!termWord.equalsIgnoreCase(\"\")) { // all the white spaces are removed as if not removed then lemmatization wont be successfully done\n\n termWord = Lemmatize(termWord);\n System.out.println(termWord);\n if(dictionary.containsKey(termWord)) {\n List<Integer> wordList = new ArrayList<>();\n wordList = dictionary.get(termWord);\n int queryWordFrequency = wordList.get(totaldocument);\n queryWordFrequency++;\n wordList.set(totaldocument, queryWordFrequency); // all the frequencies of the query words are stored at the 56th index of the List stored in the\n //hashmap associated with its word-terms\n dictionary.put(termWord, wordList);\n }\n else {\n //if any of the enterd query word not present in all the docs so list will have 0.0 value from 0th index to 55th and 56th index is reserver\n // for query word frequency\n List<Integer> wordList = new ArrayList<>();\n for(int j=0; j<totaldocument+1; j++) {\n wordList.add(0);\n }\n wordList.add(1);\n dictionary.put(termWord, wordList); //updating the dictionary hashmap now containing all the query words frequencies\n }\n }\n }\n save();\n }","title":""},{"docid":"fee3f59ee7560cf9fe537a73507b57fb","score":"0.44748488","text":"public List<CodeDefinitionSet> getTermdefinitionsList()\n {\n return termdefinitions;\n }","title":""},{"docid":"f79695526a43fba09b6784250757b372","score":"0.4473851","text":"public static void testDictionary() throws IOException {\n String wnhome=\"c:\\\\Users\\\\Katherine\\\\Documents\\\\2nd sem\\\\IR\\\\project\\\\WordNet_3.1\";\n String path = wnhome + File.separator + \"dict\";\n\n\n URL url = new URL(\"file\", null, path);\n\n IDictionary dictionary = new Dictionary(url);\n dictionary.open();\n // /Users/Ward/Downloads\n IIndexWord indexWord = dictionary.getIndexWord(\"use\", POS.VERB);\n\n for (IWordID wordID : indexWord.getWordIDs()) {\n\n IWord word = dictionary.getWord(wordID);\n for (IWord word1 : word.getSynset().getWords()) {\n System.out.println(word1.getLemma());\n }\n// System.out.println(\"Id = \" + wordID);\n// System.out.println(\" Lemma = \" + word.getLemma());\n// System.out.println(\" Gloss = \" + word.getSynset().getGloss());\n\n List<ISynsetID> hypernyms =\n word.getSynset().getRelatedSynsets(Pointer.HYPERNYM);\n // print out each h y p e r n y m s id and synonyms\n List<IWord> words;\n for (ISynsetID sid : hypernyms) {\n words = dictionary.getSynset(sid).getWords();\n System.out.print(sid + \" {\");\n for (Iterator<IWord> i = words.iterator(); i.hasNext(); ) {\n System.out.print(i.next().getLemma());\n if (i.hasNext())\n System.out.print(\", \");\n }\n System.out.println(\"}\");\n }\n }\n }","title":""},{"docid":"d7067740a59a48c6e670d688a0f775d5","score":"0.44577116","text":"public Map<ModelObject, InjectionSite> getInjectionSiteMappings() {\n return injectionSiteMapping;\n }","title":""},{"docid":"1257b06cce160ebff3b4f86e14028c4d","score":"0.44304916","text":"public void setStem (Glyph stem)\r\n {\r\n this.stem = stem;\r\n }","title":""},{"docid":"2d8e34a78fd9c95af4b7400ccfa6856c","score":"0.44289526","text":"public void setStemmer( /*CustomFrenchStemmer*/ PaiceHuskFrenchStemmer stemmer ) {\r\n\t\tif ( stemmer != null ) {\r\n\t\t\tthis.stemmer = stemmer;\r\n\t\t}\r\n\t}","title":""},{"docid":"cd7299934a01c51f36e06575cd4892cf","score":"0.44217804","text":"private String getStemming(String line) throws IOException {\n\t\treturn line;\n\t\t// return Stemmer.processTweets(line);\n\t}","title":""},{"docid":"2e329f5d883e46d69dde786111c9fcb1","score":"0.4409332","text":"public static Dictionary getDictionary() {\n return Dictionary.dictionary;\n }","title":""},{"docid":"cc087913181c171522fe5472404571f6","score":"0.4403004","text":"protected Iterable<ConfigSearcher.Domain> getSearcherDomains ()\n {\n return ImmutableList.<ConfigSearcher.Domain>of(new ConfigSearcher.ConfigDomain(this));\n }","title":""},{"docid":"44797c1ef39a010a25432eb58bbe8d5b","score":"0.4395655","text":"public String PorterStemmingDemo(String token) {\n\t\tporterStemmer stemmer = new porterStemmer();\n\t\tstemmer.setCurrent(token);\n\t\tif (stemmer.stem())\n\t\t\treturn stemmer.getCurrent();\n\t\telse\n\t\t\treturn token;\n\t}","title":""},{"docid":"002b69b9c5635b90d17d0ea016c0934c","score":"0.43849322","text":"public List<String> stem(List<String> terms) {\r\n\t\tPaiceHuskStemmer stemmer = null;\r\n\t\ttry {\r\n\t\t\tstemmer = PaiceHuskStemmer.getInstance(SVMClassifier.class.getClassLoader().getResource(\"stemrules.txt\").openStream());\r\n\t\t} catch (Exception e) {\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tstemmer.setPreStrip(false);\r\n\t\tfor (int i = 0; i < terms.size(); i++) {\r\n\t\t\tString w = terms.get(i);\r\n\t\t\tterms.set(i, stemmer.stripAffixes(w));\r\n\t\t}\r\n\t\treturn terms;\r\n\t}","title":""},{"docid":"f7d090effbf342aad22489396db8ce7b","score":"0.43739802","text":"default <T> SearchResult<T> searchDictionaryEntries(\n @Nonnull Dictionary dictionary, @Nonnull Query query, RequestOptions requestOptions) {\n return LaunderThrowable.await(searchDictionaryEntriesAsync(dictionary, query, requestOptions));\n }","title":""},{"docid":"d924a435b03f07687ed47f9a433bda82","score":"0.4358162","text":"public static String stemSentNSW(String raw)\n\t{\n\t\tString os = \"\";\n\t\tfor (String w : raw.split(\"\\\\s+\"))\n\t\t{\n\t\t\tos = os + dictUtils.stemNSW(w) + \" \";\n\t\t}\n\t\treturn os;\n\t}","title":""},{"docid":"7c14be88fe6fcfff394738285b485bd1","score":"0.43487558","text":"public List<Stem> stem(char word[], int length) {\n List<Stem> stems = new ArrayList<Stem>();\n if (dictionary.lookupWord(word, 0, length) != null) {\n stems.add(new Stem(word, length));\n }\n stems.addAll(stem(word, length, null, 0));\n return stems;\n }","title":""},{"docid":"21171cd56f7e22268bb51ea485742a2a","score":"0.43332538","text":"public List<String> getSynonyms() {\n return synonyms;\n }","title":""},{"docid":"f58e4158092ac0c2eed3229efb7a3ec8","score":"0.43291378","text":"public String SnowballStemmingDemo(String token) {\n\t\tSnowballStemmer stemmer = new englishStemmer();\n\t\tstemmer.setCurrent(token);\n\t\tif (stemmer.stem())\n\t\t\treturn stemmer.getCurrent();\n\t\telse\n\t\t\treturn token;\n\t}","title":""},{"docid":"56f04056d5f53a6dd7357d97fd8a4721","score":"0.43240976","text":"public static void search() {\n\t\tList<Domain> domains = DomainService.findAll();\n\t\t\n\t\tlogger.info(\"{} domains selected to search\", domains.size());\n\t\t\n\t\tMap<String, Integer> sourceMap = getSourceMap();\n\t\tString currentDomain = \"\";\n\t\t\n\t\tMap<String, SearchResult> resultMap = new HashMap<String, SearchResult>();\n\t\t\n\t\tfor (Domain domain : domains) {\n\t\t\tcurrentDomain = domain.getName();\n\t\t\t\n\t\t\tlogger.info(\"{} domain searching started\", currentDomain);\n\t\t\t\n\t\t\t// The last search time prevents getting the same articles which were already retrieved at the last search\n\t\t\tString lastSearch = MongoService.getLastSearchTime(currentDomain);\t\t\t\n\t\t\tMongoService.setLastSearchTime(currentDomain, DatetimeUtil.getUTCDatetime());\n\t\t\t\n\t\t\tlogger.info(\"{} domain last searched {}\", currentDomain, lastSearch);\n\t\t\t\n\t\t\tList<String> domainKeywords = domain.getKeywords();\n\t\t\tList<Source> sources = domain.getSources();\n\t\t\t\n\t\t\tList<String> sourceNames = new ArrayList<String>();\n\t\t\tfor (Source source : sources) {\n\t\t\t\tsourceNames.add(source.getDomain());\n\t\t\t}\n\t\t\t\n\t\t\tList<Topic> topics = domain.getTopics();\n\t\t\t\n\t\t\t// If the domain contains any topic, get the topic keywords and merge them with the domain keywords. \n\t\t\tif (topics.size() > 0) {\n\t\t\t\tfor (Topic topic : topics) {\n\t\t\t\t\tList<String> topicKeywords = topic.getKeywords();\n\t\t\t\t\t\n\t\t\t\t\tList<String> ids = Searcher.search(sourceNames, lastSearch, domainKeywords, topicKeywords);\n\t\t\t\t\t\n\t\t\t\t\tfor (String id : ids) {\n\t\t\t\t\t\tif (resultMap.containsKey(id)) {\n\t\t\t\t\t\t\tSearchResult result = resultMap.get(id);\n\t\t\t\t\t\t\tArticle article = result.getArticle();\n\t\t\t\t\t\t\tarticle.attachTopic(topic);\n\t\t\t\t\t\t\tarticle.attachDomain(domain);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tSearchResult result;\t\t\t\t\t\t\t\n\t\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t\tresult = new SearchResult(id);\n\t\t\t\t\t\t\t} catch (Exception e) {\n\t\t\t\t\t\t\t\tcontinue;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tArticle article = result.getArticle();\n\t\t\t\t\t\t\tArticleDocument doc = result.getDoc();\n\t\t\t\t\t\t\tarticle.attachDomain(domain);\n\t\t\t\t\t\t\tarticle.setSourceId(sourceMap.get(doc.getSource()));\n\t\t\t\t\t\t\tarticle.attachTopic(topic);\n\t\t\t\t\t\t\tresultMap.put(id, result);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tList<String> ids = Searcher.search(sourceNames, lastSearch, domainKeywords, null);\n\t\t\t\t\n\t\t\t\tfor (String id : ids) {\n\t\t\t\t\tSearchResult result;\n\t\t\t\t\t\n\t\t\t\t\ttry {\n\t\t\t\t\t\tresult = new SearchResult(id);\n\t\t\t\t\t} catch (Exception e) {\n\t\t\t\t\t\tcontinue;\n\t\t\t\t\t}\n\t\t\t\t\t\n\t\t\t\t\tArticle article = result.getArticle();\n\t\t\t\t\tArticleDocument doc = result.getDoc();\n\t\t\t\t\tarticle.attachDomain(domain);\n\t\t\t\t\tarticle.setSourceId(sourceMap.get(doc.getSource()));\n\t\t\t\t\tresultMap.put(id, result);\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t\n\t\t\tfor (Map.Entry<String, SearchResult> entry : resultMap.entrySet())\n\t\t\t{\n\t\t\t\tlogger.info(\" {} : {}\", entry.getValue().getArticle().getTitle(), entry.getValue().getArticle().getUrl());\n\t\t\t}\n\t\t}\n\t\t\n\t\tinsertArticles(resultMap);\n\t}","title":""},{"docid":"dcd9b8f351cca047208055ca5704a874","score":"0.4319871","text":"public static HashMap<String, Shelter> getMap() {\n return shelters;\n }","title":""},{"docid":"ff5ce21d09155e9b14572e51ade34c1e","score":"0.4316778","text":"public java.util.List<String> getSynonyms() {\n return synonyms;\n }","title":""},{"docid":"30c60142476a295bd601ae622bf979f7","score":"0.43097126","text":"public static String preprocessStemAndTokenizeReturnDistinctTokens(String data) {\n\t\t//System.out.println(\"Preprocess data, remove stop words, stem, tokenize ..\");\n\t\tSet<String> transformedSet = new LinkedHashSet<String>();\n\t\tList<String> stemmedList = new ArrayList<String>();\n\n\t\tTokenizer analyzer = new Tokenizer(Version.LUCENE_30);\n\t\tTokenStream tokenStream = analyzer.tokenStream(\"\", new StringReader(data));\n\t\tTermAttribute termAttribute;\n\t\tString term;\n\t\ttry {\n\t\t\twhile (tokenStream.incrementToken()) {\n\t\t\t\ttermAttribute = tokenStream.getAttribute(TermAttribute.class);\n\t\t\t\tterm = termAttribute.term();\n\t\t\t\tif (digitPattern.matcher(term).find()) //ignore digits\n\t\t\t\t\tcontinue;\n\t\t\t\tif (stopwords.contains(term)) //ignore stopwords\n\t\t\t\t\tcontinue;\n\t\t\t\tif (term.length() <= 1) //ignore single letter words\n\t\t\t\t\tcontinue;\n\t\t\t\tstemmer.setCurrent(term);\n\t\t\t\tstemmer.stem();\n\t\t\t\tstemmedList.add(stemmer.getCurrent());\n\t\t\t}\n\t\t\ttransformedSet.addAll(stemmedList);\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\tstemmedList.clear();\n\t\tstemmedList = null;\n\t\t\n\t\treturn StringUtils.join(transformedSet.toArray(), \" \");\n\t}","title":""},{"docid":"ad4761ee15ba4399117bc5ee19979d07","score":"0.43034095","text":"public String stem(String input) {\n String output = \"\";\n // create an empty Annotation just with the given text\n document = new Annotation(input);\n // run all Annotators on this text\n pipeline.annotate(document);\n // traverse words in the document\n for (CoreLabel token : document.get(CoreAnnotations.TokensAnnotation.class)) {\n output = output + token.lemma() + \" \";\n }\n\n return output.trim();\n }","title":""},{"docid":"507cb1ba93dc58aa81b3151fb45ad633","score":"0.42907697","text":"public Iterator<String> getDictionary() {\r\n return index.keySet().iterator();\r\n }","title":""},{"docid":"dac0013f4cef2d25d81ea90aa28d9e95","score":"0.4275278","text":"List<Trie> findStemDescending(String stem, int n) {\n if (stem == null)\n return new ArrayList<>();\n Trie start = find(stem);\n if (start == null) {\n return new ArrayList<>();\n }\n return start.findBestNMatches(n);\n }","title":""},{"docid":"a4b8a9ce18a8af2174f8acd6c506dba6","score":"0.42716756","text":"public void parseThesaurus() throws IOException {\r\n\t\t\t//We create an object below to read the thesaurus file\r\n\t\t\tFileInputStream fis = new FileInputStream(\"src//ie//gmit//dip//resources//MobyThesaurus3.txt\");\r\n\t\t\tBufferedReader br=new BufferedReader(new InputStreamReader(fis));\r\n\t\t\t List <List<String>> listOflist= new ArrayList<>();\r\n\t\t\t// HashMap<String,List> tMap = new HashMap<>();\t\t\r\n\t\t\t List <String> individualListOfSynonyms= new ArrayList <String>();\r\n\r\n\t\t\t \r\n\t\t\t //we create a hashmap with the first word being the key value and the rest a list of synonims we will use\r\n\t\t\twhile(br.readLine()!=null) {\r\n\t\t\t\t\r\n\t\t\t\tString somestring = br.readLine();\r\n\t\t\t\tString[] testsplit= somestring.split(\",\");\r\n\t\t\t\tindividualListOfSynonyms=Arrays.asList(testsplit);\r\n\t\t\t\tString indexvalue=individualListOfSynonyms.get(0).toString();\r\n\t\t\t tMap.put(indexvalue, individualListOfSynonyms);\r\n\t\t\t //br.close();\r\n\t\t\t //System.out.println(tMap);\r\n\t\t\t }\r\n\t\t\t}","title":""},{"docid":"0afd239cfb3239d82a9808b92ca123b8","score":"0.42694214","text":"public WordDictionary() {\n root = new TrieNode('#');\n }","title":""},{"docid":"fdc55225f6535b8b115a0c0057f6f974","score":"0.4267829","text":"public WordDictionary() {\n root = new TrieNode(' ');\n maxLength = Integer.MIN_VALUE;\n }","title":""},{"docid":"a2c369af8d77f74e90350f5a1c1bca9c","score":"0.42668205","text":"String getSearchDomainName();","title":""},{"docid":"4dbe30a3927114b9c9dfd649d340c9e6","score":"0.42604092","text":"public List<Dictionary> getDictionaryLikeDictEntry(String dictEntry) throws LIMSRuntimeException {\n\t List<Dictionary> list = new Vector<Dictionary>();\n\t String searchString = \"%\" + dictEntry.toUpperCase().trim() + \"%\";\n\t String sql = \"from Dictionary d where upper(d.dictEntry) like :dictionaryEntry\";\n try{\n Query query = HibernateUtil.getSession().createQuery(sql);\n query.setString(\"dictionaryEntry\", searchString);\n list = query.list();\n closeSession();\n }catch(HibernateException e){\n handleException(e, \"getDictionaryLikeDictEntry\");\n }\n \n\t return list;\n\t}","title":""},{"docid":"104d8d517767769d1837b895faf4d2fb","score":"0.42460096","text":"public Set<String> getWords() {\n\t\treturn Collections.unmodifiableSet(this.invertedIndex.keySet());\n\t}","title":""},{"docid":"a687ab2469c0c7e1b25134cf47dd8c6e","score":"0.4242315","text":"private List<SearchWord> getSearchWords(Long lastUpdateTime) {\n return new ArrayList<>();\n }","title":""},{"docid":"b9241af3da13693d212ec190d4397b3a","score":"0.42346993","text":"public Map<String, Integer> getWords()\n {\n return (Map<String, Integer>) getStateHelper().eval(PropertyKeys.words, null);\n }","title":""},{"docid":"139a3f5f5477a21e4051b3b1f8967dbd","score":"0.4232559","text":"public HashMap<String, Double> search(String query) {\n // ===================================================\n // 1. Fetch all inverted lists corresponding to terms\n // in the query.\n // ===================================================\n String[] terms = query.split(\" \");\n HashMap<String, Integer> qf = new HashMap<String, Integer>();\n // Calculate term frequencies in the query\n for (String term : terms) {\n if (qf.containsKey(term))\n qf.put(term, qf.get(term) + 1);\n else\n qf.put(term, 1);\n }\n HashMap<String, Double> docScore = new HashMap<String, Double>();\n for (Entry<String, Integer> termEntry : qf.entrySet()) {\n String term = termEntry.getKey();\n int qfi = termEntry.getValue();\n\n // ===================================================\n // 2. Compute BM25 scores for documents in the lists.\n // Make a score list for documents in the inverted\n // lists. Assume that no relevance information is \n // available. For parameters, use k1=1.2, b=0.75, \n // k2=100.\n // ===================================================\n double k1 = 1.2;\n double b = 0.75;\n double k2 = 100;\n int ni = invIndex.get(term).size();\n\n\n for (Entry<String, IndexEntry> invListEntry : invIndex.get(term).entrySet()) {\n String docID = invListEntry.getKey();\n double bm25Score;\n if (docScore.containsKey(docID))\n bm25Score = docScore.get(docID);\n else\n bm25Score = 0;\n\n // length of the document\n int dl = docStat.get(docID);\n // frequency of the term in the document\n int fi = invListEntry.getValue().getTf();\n double K = k1 * ((1 - b) + b * ((double) dl / avdl));\n\n // ===================================================\n // 3. Accumulate scores for each term in a query\n // on the score list.\n // ===================================================\n bm25Score += Math.log((N - ni + 0.5) / (ni + 0.5))\n * (((k1 + 1) * fi * (k2 + 1) * qfi) / ((K + fi) * (k2 + qfi)));\n docScore.put(docID, bm25Score);\n }\n }\n\n return docScore;\n }","title":""},{"docid":"af345073b2798c0a18f91db342e13b66","score":"0.42283037","text":"public String StemWordWithWordNet ( String word )\n {\n if ( !IsInitialized )\n return word;\n if ( word == null ) return null;\n if ( morph == null ) morph = dic.getMorphologicalProcessor();\n\n IndexWord w;\n try\n {\n w = morph.lookupBaseForm( POS.VERB, word );\n if ( w != null )\n return w.getLemma().toString ();\n w = morph.lookupBaseForm( POS.NOUN, word );\n if ( w != null )\n return w.getLemma().toString();\n w = morph.lookupBaseForm( POS.ADJECTIVE, word );\n if ( w != null )\n return w.getLemma().toString();\n w = morph.lookupBaseForm( POS.ADVERB, word );\n if ( w != null )\n return w.getLemma().toString();\n }\n catch ( JWNLException e )\n {\n }\n return null;\n }","title":""},{"docid":"01df43b4ca1e3846711381ff1e9eef6a","score":"0.42247534","text":"public Set<String> getStopwords() {\n return stopwords;\n }","title":""},{"docid":"98db9ab871b86c156f33192c1bf3c2e7","score":"0.4223717","text":"@Override\n public List<DefinitionDTO> findAllWords() {\n List<Word> words = wordRepository.findAll();\n return DTOMapper.mapWordListToDefinitionDTOList(words);\n }","title":""},{"docid":"d2c6619653516ad7bfa045fc5086d854","score":"0.42236805","text":"public Set<String> getWords() {\n return wordMap.keySet();\n }","title":""},{"docid":"1b8a0719734c2d3591a7e535de07b783","score":"0.4223438","text":"public static Set<String> preprocessStemAndTokenizeAddBigramsInSet(String data) {\n\t\t//System.out.println(\"Preprocess data, remove stop words, stem, tokenize and get bi-grams ..\");\n\n\t\tSet<String> transformedSet = new LinkedHashSet<String>();\n\t\tList<String> stemmedList = new ArrayList<String>();\n\n\t\t//System.out.println(\"Stop words length:\" + stopwords.size());\n\t\tTokenizer analyzer = new Tokenizer(Version.LUCENE_30);\n\t\tTokenStream tokenStream = analyzer.tokenStream(\"\", new StringReader(data));\n\t\tTermAttribute termAttribute;\n\t\tString term;\n\t\ttry {\n\t\t\twhile (tokenStream.incrementToken()) {\n\t\t\t\ttermAttribute = tokenStream.getAttribute(TermAttribute.class);\n\t\t\t\tterm = termAttribute.term();\n\t\t\t\tif (digitPattern.matcher(term).find()) //ignore digits\n\t\t\t\t\tcontinue;\n\t\t\t\tif (stopwords.contains(term)) //ignore stopwords\n\t\t\t\t\tcontinue;\n\t\t\t\tif (term.length() <= 1) //ignore single letter words\n\t\t\t\t\tcontinue;\n\t\t\t\tstemmer.setCurrent(term);\n\t\t\t\tstemmer.stem();\n\t\t\t\tstemmedList.add(stemmer.getCurrent());\n\n\t\t\t}\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\tString[] ds = stemmedList.toArray(new String[0]);\n\n\t\t/*for(int i=0; i<stemmedList.size(); i++)\n\t\t\tSystem.out.print(ds[i]+\"\\t\");*/\n\n\t\t//add bi-grams\n\t\tfinal int size = 2;\n\t\tfor (int i = 0; i < ds.length; i++) {\n\t\t\ttransformedSet.add(ds[i]); //add single words\n\t\t\tif (i + size <= ds.length) {\n\t\t\t\tString t = \"\";\n\t\t\t\tfor (int j = i; j < i + size; j++) {\n\t\t\t\t\tt += \" \" + ds[j];\n\t\t\t\t}\n\t\t\t\tt = t.trim().replaceAll(\"\\\\s+\", \"_\");\n\t\t\t\ttransformedSet.add(t); //add bi-gram combined with \"_\"\n\t\t\t}\n\t\t}\n\t\t//System.out.println(\" \")\n\t\tstemmedList.clear();\n\t\tstemmedList = null;\n\t\tds = null;\n\t\treturn transformedSet;\n\t}","title":""},{"docid":"3b72385185ae75812ebbf520553c5931","score":"0.42096928","text":"public String[] searchIndex(Directory ramdir, Query query) \n\t\t\tthrows Exception {\n\t\tSortedMap<Float,String> sentenceMap = \n\t\t\t\tnew TreeMap<Float,String>();\n\t\tIndexReader indexReader = DirectoryReader.open(ramdir);\n\t\tIndexSearcher indexSearcher = new IndexSearcher(indexReader);\n\t\tBM25Similarity similarity = new BM25Similarity(1.2f, 100f);\n\n\t\tindexSearcher.setSimilarity(similarity);\n\t\tTopDocs topDocs = indexSearcher.search(query, this.numSentences);\n\n\t\tfor (ScoreDoc scoreDoc : topDocs.scoreDocs) {\n\n\t\t\t// System.out.println(scoreDoc.score)\n\t\t\tint docId = scoreDoc.doc;\n\t\t\t//System.out.println(searcher.explain(query, docId));\n\t\t\tDocument doc = indexSearcher.doc(docId);\n\t\t\t// System.out.println(sentences.get(docId));\n\t\t\tSystem.out.println(doc.get(\"content\"));\n\n\t\t\t// System.out.println(doc.get(\"text\"));\n\n\t\t\t// if(scoreDoc.score>=0.1F){\n\n\t\t\tsentenceMap.put((float) scoreDoc.doc, \">> \"+StringUtils.chomp(doc.get(\"content\")));\n\t\t\t//sentenceMap.put(1/scoreDoc.score,sentences.get(docId));\n\t\t\t// System.out.println(scoreDoc);\n\t\t\t// System.out.println(StringUtils.chomp(doc.get(\"text\")));\n\t\t\t// }\n\t\t}\n\n\t\treturn sentenceMap.values().toArray(new String[0]);\n\n\t}","title":""},{"docid":"dfca3371e72f6fa5ba5a90804d0f81b1","score":"0.42064345","text":"public Dictionaries getDictionaries()\r\n {\r\n return dictionary;\r\n }","title":""},{"docid":"f47a7689a33205e4fcf673c6c12a714f","score":"0.42060074","text":"public String stemming(String stopWordRemovalFile, String stemmingFilePath) throws IOException{\n\t\t\n\t\t//Use a for loop to go through each data file\n\t\tfor (int i = 1; i <= numOfFiles; i++) {\n\t\t\t//Use FileInputStream to get the file path and use BufferedReader and InputStreamReader to read the files\n\t\t\tFileInputStream files = new FileInputStream(stopWordRemovalFile + \"/a\" + i + \".txt\");\n\t\t\tBufferedReader reader = new BufferedReader(new InputStreamReader(files));\n\t\t\t\n\t\t\t//Use FileWriter to indicate the path to where the data will be outputed and BufferedWriter to write to the indicated files\n\t\t\tFileWriter fileStream = new FileWriter(stemmingFilePath + \"/a\" + i + \".txt\"); \n\t BufferedWriter outputStream = new BufferedWriter(fileStream);\n\t\t\t\n\t //Add each line of the files into an temporary stemmer arraylist to output the words into their root form\n\t\t\tString readStopwordDoc;\n\t\t\twhile((readStopwordDoc = reader.readLine()) != null) {\n\t\t\t\ttempStemmer.add(readStopwordDoc);\n\t\t\t}\n\t\t\t//Use the for loop to get the size of the temporary stemmer arraylist and stem the words\n\t\t\tfor(int j = 0; j < tempStemmer.size(); j++) {\n\t\t\t\tstemming.setCurrent(tempStemmer.get(j).toString());\n\t\t\t\tstemming.stem();\n\t\t\t\toutputStream.write(stemming.getCurrent() + \"\\n\");\n\t\t\t}\n\t\t\ttempStemmer.clear();\n\t\t\t\n\t\t\toutputStream.close();\n\t\t}\n\t\tSystem.out.println(\"See Stemming Folder for to view the results\");\n\t\treturn stemmingFilePath;\n\t}","title":""},{"docid":"dfb9a267b577b4840f08a455a003bcbb","score":"0.42022386","text":"public String getSearchKeyword() {\n return SharedPrefsUtils.getStringPreference(application.getApplicationContext(), \"KEY\");\n }","title":""},{"docid":"f0f5edc0fa3829fe3798e211134118c9","score":"0.41979504","text":"public TurkishSentenceAnalyzer(File dataDir) throws IOException {\n if (!dataDir.isDirectory()) {\n throw new IllegalArgumentException(dataDir + \" is not a directory.\");\n }\n if (!dataDir.exists()) {\n throw new IllegalArgumentException(dataDir + \" Directory does not exist\");\n }\n List<File> dicFiles = Files.crawlDirectory(dataDir, false, Files.extensionFilter(\"dict\"));\n System.out.println(\"Loading Dictionaries:\" + dicFiles.toString());\n if (dicFiles.size() == 0) {\n throw new IllegalArgumentException(\n \"At least one dictionary file is required. (with txt extension)\");\n }\n turkishMorphology = TurkishMorphology.builder()\n .addTextDictionaries(dicFiles.toArray(new File[dicFiles.size()])).build();\n System.out.println(\"Morph Parser Generated.\");\n\n File rootSmoothLm = new File(dataDir, \"root-lm.z3.slm\");\n File igSmoothLm = new File(dataDir, \"ig-lm.z3.slm\");\n if (!rootSmoothLm.exists()) {\n throw new IllegalArgumentException(\"Cannot find root model in \" + dataDir);\n }\n if (!igSmoothLm.exists()) {\n throw new IllegalArgumentException(\"Cannot find suffix model in \" + dataDir);\n }\n disambiguator = new Z3MarkovModelDisambiguator(rootSmoothLm, igSmoothLm);\n System.out.println(\"Morph Disambiguator Generated.\");\n }","title":""},{"docid":"46fde855c1caf8db5d1e52784eb31524","score":"0.41920406","text":"public RoAnalyzer() {\n this.stemExclusionSet = RomanianAnalyzer.getDefaultStopSet();\n }","title":""},{"docid":"63d1c6d19f36aa82c4e5193f398bd444","score":"0.41869572","text":"private void init() {\n this.sentences = new HashMap<>();\n\n String kapHeader = this.kapFormatter.getFormattedKapHeader();\n Scanner scanner = new Scanner(kapHeader);\n scanner.useDelimiter(\"\\n\");\n String currentSentence = null;\n\n while (scanner.hasNext()) {\n currentSentence = scanner.next();\n String key = currentSentence.substring(0, currentSentence.indexOf(\"/\"));\n String sentenceWithoutToken = currentSentence.substring(currentSentence.indexOf(\"/\") + 1, currentSentence.length());\n\n if (!this.sentences.containsKey(key)) {\n List<String> values = new ArrayList<>();\n this.sentences.put(key, values);\n }\n\n List<String> mapList = this.sentences.get(key);\n mapList.add(sentenceWithoutToken);\n }\n scanner.close();\n }","title":""},{"docid":"3f89ebaf039a4e0bf531a2469776d3c7","score":"0.41866902","text":"public Iterator words() {\n return index.keySet().iterator();\n }","title":""},{"docid":"5a212f97abb1289784a4b95dd80770b0","score":"0.41830432","text":"public WordDictionary() {\n root = new TrieNode();\n }","title":""},{"docid":"5a212f97abb1289784a4b95dd80770b0","score":"0.41830432","text":"public WordDictionary() {\n root = new TrieNode();\n }","title":""},{"docid":"5a212f97abb1289784a4b95dd80770b0","score":"0.41830432","text":"public WordDictionary() {\n root = new TrieNode();\n }","title":""},{"docid":"5c24c80970746e5461d04d575e5413f4","score":"0.41821817","text":"public org.apache.xmlbeans.XmlAnySimpleType getSearchTerms()\n {\n synchronized (monitor())\n {\n check_orphaned();\n org.apache.xmlbeans.XmlAnySimpleType target = null;\n target = (org.apache.xmlbeans.XmlAnySimpleType)get_store().find_attribute_user(SEARCHTERMS$6);\n if (target == null)\n {\n return null;\n }\n return target;\n }\n }","title":""},{"docid":"4edb03adb4d14ca4cf8f0053f061d765","score":"0.41798487","text":"private static void printStemResults(String originalWord, List<Stem> stems) {\n StringBuilder builder = new StringBuilder().append(\"stem(\").append(originalWord).append(\")\").append(\"\\n\");\n\n for (Stem stem : stems) {\n builder.append(\"- \").append(stem.getStem()).append(\": \");\n\n for (HunspellAffix prefix : stem.getPrefixes()) {\n builder.append(prefix.getAppend()).append(\"+\");\n\n if (hasText(prefix.getStrip())) {\n builder.append(prefix.getStrip()).append(\"-\");\n }\n }\n\n builder.append(stem.getStem());\n\n for (HunspellAffix suffix : stem.getSuffixes()) {\n if (hasText(suffix.getStrip())) {\n builder.append(\"-\").append(suffix.getStrip());\n }\n \n builder.append(\"+\").append(suffix.getAppend());\n }\n builder.append(\"\\n\");\n }\n\n System.out.println(builder);\n }","title":""},{"docid":"367176cc8f37eb41682ae41f7b5f009a","score":"0.41692784","text":"@Test\n public void tweakingEnglishStopwordsAndStemming() throws IOException {\n\n LanguageComponents english = LanguageComponents.load(\"English\");\n\n // Pass-through of all suppliers to English defaults.\n LinkedHashMap<Class<?>, Supplier<?>> componentSuppliers = new LinkedHashMap<>();\n for (Class<?> clazz : english.components()) {\n componentSuppliers.put(clazz, () -> english.get(clazz));\n }\n\n // Now override the suppliers of Stemmer and LexicalData interfaces. These suppliers should be\n // thread-safe, but the instances of corresponding components will not be reused across threads.\n\n // Override the Stemmer supplier.\n componentSuppliers.put(\n Stemmer.class,\n (Supplier<Stemmer>) () -> (word) -> word.toString().toLowerCase(Locale.ROOT));\n\n // Override the default lexical data.\n LexicalData lexicalData =\n new LexicalData() {\n Set<String> ignored = new HashSet<>(Arrays.asList(\"from\", \"what\"));\n\n @Override\n public boolean ignoreLabel(CharSequence labelCandidate) {\n // Ignore any label that has a substring 'data' in it; example.\n return labelCandidate.toString().toLowerCase(Locale.ROOT).contains(\"data\");\n }\n\n @Override\n public boolean ignoreWord(CharSequence word) {\n return word.length() <= 3 || ignored.contains(word.toString());\n }\n };\n componentSuppliers.put(LexicalData.class, () -> lexicalData);\n\n // The custom set of language components can be reused for multiple clustering requests.\n LanguageComponents customLanguage =\n new LanguageComponents(\"English (customized)\", componentSuppliers);\n\n LingoClusteringAlgorithm algorithm = new LingoClusteringAlgorithm();\n algorithm.desiredClusterCount.set(10);\n List<Cluster<Document>> clusters =\n algorithm.cluster(ExamplesData.documentStream(), customLanguage);\n System.out.println(\"Clusters:\");\n ExamplesCommon.printClusters(clusters);\n }","title":""},{"docid":"2e540131006a2545596bb3c18b95810a","score":"0.41616538","text":"public WordDictionary() {\n root=new TrieNode();\n }","title":""},{"docid":"a7ef4362e13512cc787f49652d05404b","score":"0.41499895","text":"public DictionaryData lookup(String word) {\r\n\r\n return dictionaryMap.get(word.toUpperCase());\r\n }","title":""},{"docid":"341a3d1ffa02783225eb73808539587c","score":"0.41495246","text":"public String getTerm() {\n return term;\n }","title":""},{"docid":"d5b28bf88d334307fc981a46b47a5c55","score":"0.41449785","text":"public List<Synset> getSynsets() {\n try {\n return Dictionary.getDefaultResourceInstance()\n .lookupIndexWord(WSDHelper.getPOS(this.getTargetTag()),\n this.getTargetWord())\n .getSenses();\n } catch (JWNLException e) {\n e.printStackTrace();\n }\n return null;\n }","title":""},{"docid":"02fbb5e946510acf73cf7b60042f23d7","score":"0.41416973","text":"public static void main(final String[] args)\r\n {\r\n // Set the path to the data files\r\n Dictionary.initialize(\"c:/Program Files/WordNet/2.1/dict\");\r\n \r\n // Get an instance of the Dictionary object\r\n Dictionary dict = Dictionary.getInstance();\r\n \r\n // Declare a filter for all terms starting with \"car\", ignoring case\r\n TermFilter filter = new WildcardFilter(\"car*\", true);\r\n \r\n // Get an iterator to the list of nouns\r\n Iterator<IndexTerm> iter = \r\n dict.getIndexTermIterator(PartOfSpeech.NOUN, 1, filter);\r\n \r\n // Go over the list items\r\n while (iter.hasNext())\r\n {\r\n // Get the next object\r\n IndexTerm term = iter.next();\r\n \r\n // Write out the object\r\n System.out.println(term.toString());\r\n \r\n // Write out the unique pointers for this term\r\n int nNumPtrs = term.getPointerCount();\r\n if (nNumPtrs > 0)\r\n {\r\n // Print out the number of pointers\r\n System.out.println(\"\\nThis term has \" + Integer.toString(nNumPtrs) +\r\n \" pointers\");\r\n \r\n // Print out all of the pointers\r\n String[] ptrs = term.getPointers();\r\n for (int i = 0; i < nNumPtrs; ++i)\r\n {\r\n String p = Pointer.getPointerDescription(term.getPartOfSpeech(), ptrs[i]);\r\n System.out.println(ptrs[i] + \": \" + p);\r\n }\r\n }\r\n \r\n // Get the definitions for this term\r\n int nNumSynsets = term.getSynsetCount();\r\n if (nNumSynsets > 0)\r\n {\r\n // Print out the number of synsets\r\n System.out.println(\"\\nThis term has \" + Integer.toString(nNumSynsets) +\r\n \" synsets\");\r\n \r\n // Print out all of the synsets\r\n Synset[] synsets = term.getSynsets();\r\n for (int i = 0; i < nNumSynsets; ++i)\r\n {\r\n System.out.println(synsets[i].toString());\r\n }\r\n }\r\n }\r\n \r\n System.out.println(\"Demo processing finished.\");\r\n }","title":""},{"docid":"ac06c762d4bdc578a01ada85d14496f6","score":"0.413612","text":"public PinyinSearchMap getSearchMap() {\n return mSearchMap;\n }","title":""},{"docid":"f9a6bbee25b255a461e2d3460ec48a40","score":"0.41322854","text":"public List < Stem > getSelectedStem() {\r\n\r\n List < Stem > result = new ArrayList < Stem >();\r\n List < Sortable > selected = this.stemSearch.getSelected();\r\n for (Sortable sortable : selected) {\r\n result.add((Stem) sortable);\r\n }\r\n return result;\r\n }","title":""},{"docid":"b3ab09b11dc7a09d85155f8cb83434d5","score":"0.41248268","text":"public List<String> findPhrases() {\n\t\t\n\t\tTrie root = new Trie();\n\t\tList<String> result = new ArrayList<>();\n\t\tQueue<TrieNode> queue = new LinkedList<>();\n\n\t\tfor (String phrase : phrases) {\n\t\t\t// build the trie\n\t\t\t\n\t\t\troot.insert(phrase);\n\t\t}\n\t\t\n\t\t// initialize the queue\n\t\tqueue.offer(root.getRootNode());\n\t\t\t\t\n\t\tfor (String word : stream) {\n\t\t\t\n\t\t\t// Search one word at a time and store TrieNodes that match this word.\n\t\t\t// If the current word extends a previous TrieNode, it may be a matching phrase\n\t\t\t\n\t\t\t// buffer to store current matches\n\t\t\tQueue<TrieNode> buffer = new LinkedList<>();\n\t\t\t\n\t\t\twhile(!queue.isEmpty()) {\n\t\t\t\t// iterate through previous matches\n\t\t\t\t\n\t\t\t\tTrieNode next = queue.poll().find(word);\n\t\t\t\t\n\t\t\t\tif (next != null) {\n\t\t\t\t\t\n\t\t\t\t\t// if this word extends the previous word, add it to the buffer\n\t\t\t\t\t// in case the next word can also extend it\n\t\t\t\t\t\n\t\t\t\t\tbuffer.offer(next);\n\t\t\t\t\t\n\t\t\t\t\tif (next.isPhrase()) {\n\t\t\t\t\t\t// if we found a valid phrase node, add it to the result\t\n\t\t\t\t\t\t\n\t\t\t\t\t\tresult.add(next.getPhrase());\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}\n\t\t\t\n\t\t\tqueue = buffer;\n\t\t\tqueue.offer(root.getRootNode());\n\t\t}\n\t\t\n\t\treturn result;\n\t}","title":""},{"docid":"150dc62dadbc743252d8ac4b02d0eac5","score":"0.41236934","text":"public static void Stemmingmethod()throws Exception\n{\n char[] w = new char[501];\n Stemmer s = new Stemmer();\n String prcessedtxt=\"\";\n ArrayList<String> finalsen= new ArrayList();\n BufferedWriter writer = new BufferedWriter(new FileWriter(\"fullyprocessed.txt\"));\n\n String u=null;\n \n {\n FileInputStream in = new FileInputStream(\"stopwordsremoved.txt\");\n\n while(true)\n\n { int ch = in.read();\n if (Character.isLetter((char) ch))\n {\n int j = 0;\n while(true)\n { ch = Character.toLowerCase((char) ch);\n w[j] = (char) ch;\n if (j < 500) j++;\n ch = in.read();\n if (!Character.isLetter((char) ch))\n {\n \n s.add(w, j); \n\n s.stem();\n { \n\n u = s.toString();\n finalsen.add(u);\n /* to test getResultBuffer(), getResultLength() : */\n /* u = new String(s.getResultBuffer(), 0, s.getResultLength()); */\n\n System.out.print(u);\n }\n break;\n }\n }\n }\n if (ch < 0) break;\n System.out.print((char)ch);\n finalsen.add(\"\"+(char)ch);\n\n\n }\n }\n \n \n \n for(String word:finalsen){\n prcessedtxt=prcessedtxt+\"\"+ word;\n }\n writer.write(prcessedtxt+\"\\n\"); \n prcessedtxt=\"\";\n finalsen.clear();\n writer.close();\n\n\n \n}","title":""}],"string":"[\n {\n \"docid\": \"1e3fa3b9450bf75608df9de41ad26c72\",\n \"score\": \"0.65699434\",\n \"text\": \"public StemSearch getStemSearch() {\\r\\n return this.stemSearch;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d4a9d2f141b2a89478d97f0a6ea2034c\",\n \"score\": \"0.5932626\",\n \"text\": \"default String getStem() {\\n return meta(\\\"nlpcraft:nlp:stem\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c3b6864e9ceffecdb9e4a394839aff87\",\n \"score\": \"0.5634137\",\n \"text\": \"@Override\\n\\tpublic String getStemming(String phrase) {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2dc542e5a33c8e4a67511ee2273e3deb\",\n \"score\": \"0.5515676\",\n \"text\": \"public char[] getStem() {\\n return stem;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c416e4f82eaa65e4dff84875ea61d098\",\n \"score\": \"0.54642135\",\n \"text\": \"public String Stem( String word )\\n {\\n // check if we already know the word\\n String stemmedword = AllWords.get(word);\\n if ( stemmedword != null )\\n return stemmedword; // return it if we already know it\\n\\n // don't check words with digits in them\\n // if ( containsNumbers (word) == true )\\n // stemmedword = null;\\n // else\\t// unknown word: try to stem it\\n stemmedword = StemWordWithWordNet (word);\\n\\n if ( stemmedword != null )\\n {\\n // word was recognized and stemmed with wordnet:\\n // add it to hashmap and return the stemmed word\\n AllWords.put( word, stemmedword );\\n return stemmedword;\\n }\\n // word could not be stemmed by wordnet,\\n // thus it is no correct english word\\n // just add it to the list of known words so\\n // we won't have to look it up again\\n AllWords.put( word, word );\\n return word;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f956e1a21ec9196910a15777d05da6e4\",\n \"score\": \"0.5158746\",\n \"text\": \"String stemOf (String word);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c49b49d1731c0093831f2f32eb6cae39\",\n \"score\": \"0.51305276\",\n \"text\": \"public HunspellStemmer(HunspellDictionary dictionary) {\\n this.dictionary = dictionary;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1880f22feec65384439cb251484fea73\",\n \"score\": \"0.5122217\",\n \"text\": \"private void populateDictionaryByLemmatizer() throws IOException {\\n\\n Enumeration e = dictionaryTerms.keys();\\n while (e.hasMoreElements()) {\\n String word = (String) e.nextElement();\\n String tag = dictionaryTerms.get(word);\\n\\n if (!(word.contains(\\\" \\\")||word.contains(\\\"+\\\") ||word.contains(\\\"\\\\\\\"\\\") ||word.contains(\\\"'\\\")||word.contains(\\\".\\\") ||word.contains(\\\":\\\") || word.contains(\\\"(\\\") || word.contains(\\\")\\\") ||word.contains(\\\"-\\\")|| word.contains(\\\";\\\"))) {\\n String tokenizedWords[] = tokenize(word);\\n\\n if (tokenizedWords.length == 1) {\\n List<String> stemmings = stanfordLemmatizer.lemmatize(word);\\n\\n for (int i = 0; i < stemmings.size(); i++) {\\n if (!dictionaryTerms.containsKey(stemmings.get(i))) {\\n dictionaryTerms.put(stemmings.get(i), tag);\\n System.out.println(\\\"Stemming: \\\" + word + \\\"\\\\t\\\" + stemmings.get(i));\\n }\\n }\\n }\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"84631b8a6e4fee0d72d7ed0cc6ca48bf\",\n \"score\": \"0.5078761\",\n \"text\": \"public Stemmer ()\\n {\\n AllWords = new HashMap<String,String>();\\n dictionary = Dictionary.getInstance();\\n p = PointerUtils.getInstance();\\n\\n try\\n {\\n // JWNL.initialize(new FileInputStream(\\\"file_properties.xml\\\"));\\n JWNLConnecter.initializeJWNL();\\n dic = Dictionary.getInstance();\\n morph = dic.getMorphologicalProcessor();\\n // ((AbstractCachingDictionary)dic).\\n //\\tsetCacheCapacity (10000);\\n IsInitialized = true;\\n }\\n catch (Exception e){\\n System.err.println(e.getMessage());\\n }\\n /*catch ( FileNotFoundException e )\\n {\\n System.out.println ( \\\"Error initializing Stemmer: JWNLproperties.xml not found\\\" );\\n }\\n catch ( JWNLException e )\\n {\\n System.out.println ( \\\"Error initializing Stemmer: \\\"\\n + e.toString() );\\n }*/\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"81656263da9efd4ee170e8837aac0adc\",\n \"score\": \"0.50376594\",\n \"text\": \"private void populateDictionaryBySynonyms() {\\n\\n Enumeration e = dictionaryTerms.keys();\\n while (e.hasMoreElements()) {\\n String word = (String) e.nextElement();\\n String tag = dictionaryTerms.get(word);\\n\\n ArrayList<String> synonyms = PyDictionary.findSynonyms(word);\\n\\n for (int i = 0; i < synonyms.size(); i++) {\\n if (!dictionaryTerms.containsKey(synonyms.get(i))) {\\n dictionaryTerms.put(synonyms.get(i), tag);\\n }\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"968274dadeb8adad64f0d77dd3a233f6\",\n \"score\": \"0.5033714\",\n \"text\": \"public static String getDeterminedSearchTerm() {\\n\\t\\treturn determinedSearchTerm;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad01dc17d7065936546219b638846d78\",\n \"score\": \"0.5033138\",\n \"text\": \"protected String stem(String term) {\\r\\n\\t\\tStemmer stemmer = new Stemmer();\\r\\n\\t\\tfor(char a : term.toCharArray()){\\r\\n\\t\\t\\tstemmer.add(a);\\r\\n\\t\\t}\\r\\n\\t\\tstemmer.stem();\\r\\n\\t\\treturn stemmer.toString();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5d77739591a713378b317d8dca9713b4\",\n \"score\": \"0.48874664\",\n \"text\": \"public static String preprocessStemAndTokenize(String data) {\\n\\n\\t\\tSet<String> transformedSet = new HashSet<String>(); //Set will make sure only unique terms are kept\\n\\t\\tStringBuilder strBuilder = new StringBuilder();\\n\\t\\tTokenizer analyzer = new Tokenizer(Version.LUCENE_30);\\n\\t\\tTokenStream tokenStream = analyzer.tokenStream(\\\"\\\", new StringReader(data));\\n\\t\\tTermAttribute termAttribute;\\n\\t\\tString term;\\n\\t\\t//System.out.println(\\\"The value of data in tokenizeAndStem: \\\"+ data);\\n\\t\\ttry {\\n\\t\\t\\twhile (tokenStream.incrementToken()) {\\n\\t\\t\\t\\ttermAttribute = tokenStream.getAttribute(TermAttribute.class);\\n\\t\\t\\t\\tterm = termAttribute.term(); \\n\\t\\t\\t\\tif (stopwords.contains(term)){ //ignore stopwords\\n\\t\\t\\t\\t\\t//System.out.println(\\\"Contains stopword: \\\"+ term);\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tif (digitPattern.matcher(term).find()) //ignore digits\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\tif(term.length() <= 1) //ignore 1 letter words\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif (!digitPattern.matcher(term).find()){ //ignore digits\\n\\t\\t\\t\\t\\tstemmer.setCurrent(term);\\n\\t\\t\\t\\t\\tstemmer.stem();\\n\\t\\t\\t\\t\\ttransformedSet.add(stemmer.getCurrent());\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\t//System.out.println(\\\"transormed set size in tokenizeAndStem: \\\"+ transformedSet.size());\\n\\t\\tfor(Object token: transformedSet.toArray()){\\n\\t\\t\\tstrBuilder.append(token).append(\\\" \\\");\\n\\t\\t}\\n\\t\\t//System.out.println(\\\"String returned in tokenizeAndStem:\\\"+ strBuilder.toString());\\n\\t\\treturn strBuilder.toString();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8c30c67e6a121c5bbb80dd1ab598f2b2\",\n \"score\": \"0.4869271\",\n \"text\": \"public List<Stem> stem(String word) {\\n return stem(word.toCharArray(), word.length());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44f74402c92cdaa9959440da4d6b6652\",\n \"score\": \"0.4850999\",\n \"text\": \"public static String stem(String word){\\n Stemmer s = new Stemmer();\\n s.add(word.toCharArray(), word.length());\\n s.stem();\\n return s.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00ff0737616619a0e82e3a4b318edfc6\",\n \"score\": \"0.48471662\",\n \"text\": \"public WnStemmer(IDictionary dict) {\\n if(dict == null)\\n \\tthrow new NullPointerException();\\n this.dict = dict;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"289cc585044d8b661af59423d202cc6c\",\n \"score\": \"0.48266584\",\n \"text\": \"public void getThesaurusMap (String wordTofind) {\\r\\n\\t \\tfor (Entry<String, List> entry : tMap.entrySet()) {\\r\\n\\t \\t\\tList singleListofSynonims = entry.getValue();\\r\\n\\t \\t\\tif (singleListofSynonims.contains(wordTofind)){\\r\\n\\t \\t\\t\\t\\r\\n\\t \\t\\t\\tmappedList.add(singleListofSynonims);\\r\\n\\t \\t\\t\\tGoogleToThesarus.put(wordTofind,singleListofSynonims);\\r\\n\\t \\t\\t}\\r\\n\\t \\t\\telse {\\r\\n\\t \\t\\t\\t//System.out.println(\\\"value not in map\\\");\\r\\n\\t \\t}\\r\\n\\t \\t}\\r\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99025440ac19db7ea0d3ef5845591748\",\n \"score\": \"0.48138428\",\n \"text\": \"public Glyph getStem ()\\r\\n {\\r\\n return stem;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"33cf3c02af1980993e524af563a00bc8\",\n \"score\": \"0.4749879\",\n \"text\": \"public String getSpelling() {\\n\\t\\treturn this.spelling;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b2741065bb2d7c3befe335148927c4bc\",\n \"score\": \"0.47471717\",\n \"text\": \"public List<Trie> findStemDescending(String stem) {\\n if (stem == null)\\n return new ArrayList<>();\\n Trie start = find(stem);\\n if (start == null)\\n return new ArrayList<>();\\n return start.getAll();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a5fc7ec086d0d69cda2bedfc9d629c92\",\n \"score\": \"0.4746981\",\n \"text\": \"public String getSpelling() {\\n\\t\\t\\treturn this.spelling;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9dc8619844590b08213486788c072438\",\n \"score\": \"0.47428882\",\n \"text\": \"public LocalTermDictionary getLocalTermDictionary()\\n {\\n return AceDictionary.getInstance();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f32f1f5853495f6e8a9e4efc70b8adf\",\n \"score\": \"0.47270092\",\n \"text\": \"public static LinkedList<String> getSynonym(String word) {\\n\\t\\tLinkedList<String> res = new LinkedList<String>();\\n\\t\\tif (dict.containsKey(word)) {\\n\\t\\t\\tres = dict.get(word);\\n\\t\\t}\\n\\t\\treturn res;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7c13bae44b866d4ca4d5801bf776f7df\",\n \"score\": \"0.46919304\",\n \"text\": \"private String processWord(String word){\\r\\n\\t\\tString lword = word.toLowerCase();\\r\\n\\t\\tfor (int i = 0;i<word.length();++i){\\r\\n\\t\\t\\tstemmer.add(lword.charAt(i));\\r\\n\\t\\t}\\r\\n\\t\\tstemmer.stem();\\r\\n\\t\\treturn stemmer.toString();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7537a7ce871d139443fc3e9838e39a6d\",\n \"score\": \"0.4690917\",\n \"text\": \"@Override\\r\\n\\tpublic String getName() {\\r\\n\\t\\treturn \\\"StemMethodAnalyzer\\\";\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"07c0f794a05a85c6edbb713629c1d801\",\n \"score\": \"0.4676399\",\n \"text\": \"public static String stemWordPorter(String word) {\\n Stemmer st = new Stemmer();\\n st.add(word.toCharArray(), word.length());\\n st.stem();\\n return st.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d9653a4380af6ba49ebfd62553dc49f\",\n \"score\": \"0.46749339\",\n \"text\": \"private String stemmingForAWord(String identifiedWord) {\\n String word;\\n if (identifiedWord.contains(\\\"_\\\")) {\\n word = identifiedWord;\\n } else {\\n word = morphology.stem(identifiedWord);\\n }\\n return word;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"08311e2b866fda1961138cf43eecd338\",\n \"score\": \"0.46402523\",\n \"text\": \"@Override\\n public List<DefinitionDTO> findWordsByWord(String query) {\\n List<Word> words = wordRepository.findBySearchString(query);\\n return DTOMapper.mapWordListToDefinitionDTOList(words);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74a4fe4d42ffd7306b4a5b718013f039\",\n \"score\": \"0.46265605\",\n \"text\": \"public List<String> getRelatedWords(String word) throws IOException {\\n List<String> result = new ArrayList<String>();\\n IDictionary dict = new Dictionary(new File(WORDNET_LOCATION));\\n try {\\n dict.open();\\n IStemmer stemmer = new WordnetStemmer(dict);\\n for (POS pos : EnumSet.of(POS.ADJECTIVE, POS.ADVERB, POS.NOUN, POS.VERB)) {\\n List<String> resultForPos = new ArrayList<String>();\\n List<String> stems = new ArrayList<String>();\\n stems.add(word);\\n for (String stem : stemmer.findStems(word, pos)) {\\n if (!stems.contains(stem))\\n stems.add(stem);\\n }\\n for (String stem : stems) {\\n if (!resultForPos.contains(stem)) {\\n resultForPos.add(stem);\\n IIndexWord idxWord = dict.getIndexWord(stem, pos);\\n if (idxWord == null) continue;\\n List<IWordID> wordIDs = idxWord.getWordIDs();\\n if (wordIDs == null) continue;\\n IWordID wordID = wordIDs.get(0);\\n IWord iword = dict.getWord(wordID);\\n \\n ISynset synonyms = iword.getSynset();\\n List<IWord> iRelatedWords = synonyms.getWords();\\n if (iRelatedWords != null) {\\n for (IWord iRelatedWord : iRelatedWords) {\\n String relatedWord = iRelatedWord.getLemma();\\n if (!resultForPos.contains(relatedWord))\\n resultForPos.add(relatedWord);\\n }\\n }\\n \\n List<ISynsetID> hypernymIDs = synonyms.getRelatedSynsets();\\n if (hypernymIDs != null) {\\n for (ISynsetID relatedSynsetID : hypernymIDs) {\\n ISynset relatedSynset = dict.getSynset(relatedSynsetID);\\n if (relatedSynset != null) {\\n iRelatedWords = relatedSynset.getWords();\\n if (iRelatedWords != null) {\\n for (IWord iRelatedWord : iRelatedWords) {\\n String relatedWord = iRelatedWord.getLemma();\\n if (!resultForPos.contains(relatedWord))\\n resultForPos.add(relatedWord);\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n for (String relatedWord : resultForPos) {\\n if (relatedWord.length() > 3\\n && !relatedWord.contains(\\\"-\\\")\\n && !result.contains(relatedWord)) {\\n // TODO: Hack alert!\\n // The - check is to prevent lucene from interpreting hyphenated words as negative search terms\\n // Fix!\\n result.add(relatedWord);\\n }\\n }\\n }\\n } finally {\\n dict.close();\\n }\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12512b7bdc7fa355c9adf9d5f624fb9a\",\n \"score\": \"0.46050647\",\n \"text\": \"private Map<String,Map<String,List<String>>> buildDictionary(Document doc){\\n\\t\\t\\n\\t\\tElement root = doc.getDocumentElement();\\n\\t\\t\\n\\t\\t\\n\\t\\tMap<String,Map<String,List<String>>> dictionary = new HashMap<String,Map<String,List<String>>>();\\n\\t\\tthis.termSet = new TreeSet<String>();\\n\\t\\t\\n\\t\\tNodeList termList = doc.getElementsByTagName(\\\"term\\\");\\n\\t\\tfor(int i = 0; i < termList.getLength(); i++){\\n\\t\\t\\tElement termElement = (Element) termList.item(i);\\n\\t\\t\\tElement nameElement = (Element) termElement.getElementsByTagName(\\\"name\\\").item(0);\\n\\t\\t\\tString name = nameElement.getTextContent();\\n\\t\\t\\tthis.termSet.add(name);\\n\\n\\t\\t\\tMap<String,List<String>> synonymGroup = new HashMap<String,List<String>>();\\n\\t\\t\\tsynonymGroup.put(\\\"exact\\\", new ArrayList<String>());\\n\\t\\t\\tsynonymGroup.put(\\\"related\\\", new ArrayList<String>());\\n\\t\\t\\tsynonymGroup.put(\\\"broad\\\", new ArrayList<String>());\\n\\t\\t\\tsynonymGroup.put(\\\"narrow\\\", new ArrayList<String>());\\n\\t\\t\\t\\n\\t\\t\\tNodeList synonyms = termElement.getElementsByTagName(\\\"synonym\\\");\\n\\t\\t\\tfor(int j=0; j<synonyms.getLength(); j++){\\n\\t\\t\\t\\tElement synonymElement = (Element) synonyms.item(j);\\n\\t\\t\\t\\tString synonym = synonymElement.getTextContent();\\n\\t\\t\\t\\tString scope = synonymElement.getAttribute(\\\"scope\\\");\\n\\t\\t\\t\\t//System.out.println(scope);\\n\\t\\t\\t\\tList<String> synonymList = (List<String>) synonymGroup.get(scope);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t//System.out.println(synonym);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tsynonymList.add(synonym);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tdictionary.put(name,synonymGroup);\\t\\t\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn dictionary;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"614eab94d9b54bd8c503cb0280fefbd8\",\n \"score\": \"0.46044594\",\n \"text\": \"public Scope getStemScope() {\\r\\n if (StringUtils.isBlank(this.stemScopeString)) {\\r\\n return Scope.SUB;\\r\\n }\\r\\n return Scope.valueOfIgnoreCase(this.stemScopeString, true);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9768adc29e3d23e47e8bd8680557a4de\",\n \"score\": \"0.46007052\",\n \"text\": \"private void parseConfig() {\\n try {\\n synonymAnalyzers = new HashMap<>();\\n\\n Object xmlSynonymAnalyzers = args.get(\\\"synonymAnalyzers\\\");\\n\\n if (xmlSynonymAnalyzers != null && xmlSynonymAnalyzers instanceof NamedList) {\\n NamedList<?> synonymAnalyzersList = (NamedList<?>) xmlSynonymAnalyzers;\\n for (Entry<String, ?> entry : synonymAnalyzersList) {\\n String analyzerName = entry.getKey();\\n if (!(entry.getValue() instanceof NamedList)) {\\n continue;\\n }\\n NamedList<?> analyzerAsNamedList = (NamedList<?>) entry.getValue();\\n\\n TokenizerFactory tokenizerFactory = null;\\n TokenFilterFactory filterFactory;\\n List<TokenFilterFactory> filterFactories = new LinkedList<>();\\n\\n for (Entry<String, ?> analyzerEntry : analyzerAsNamedList) {\\n String key = analyzerEntry.getKey();\\n if (!(entry.getValue() instanceof NamedList)) {\\n continue;\\n }\\n Map<String, String> params = convertNamedListToMap((NamedList<?>)analyzerEntry.getValue());\\n\\n String className = params.get(\\\"class\\\");\\n if (className == null) {\\n continue;\\n }\\n\\n params.put(\\\"luceneMatchVersion\\\", luceneMatchVersion.toString());\\n\\n if (key.equals(\\\"tokenizer\\\")) {\\n try {\\n tokenizerFactory = TokenizerFactory.forName(className, params);\\n } catch (IllegalArgumentException iae) {\\n if (!className.contains(\\\".\\\")) {\\n iae.printStackTrace();\\n }\\n // Now try by classname instead of SPI keyword\\n tokenizerFactory = loader.newInstance(className, TokenizerFactory.class, new String[]{}, new Class[] { Map.class }, new Object[] { params });\\n }\\n if (tokenizerFactory instanceof ResourceLoaderAware) {\\n ((ResourceLoaderAware)tokenizerFactory).inform(loader);\\n }\\n } else if (key.equals(\\\"filter\\\")) {\\n try {\\n filterFactory = TokenFilterFactory.forName(className, params);\\n } catch (IllegalArgumentException iae) {\\n if (!className.contains(\\\".\\\")) {\\n iae.printStackTrace();\\n }\\n // Now try by classname instead of SPI keyword\\n filterFactory = loader.newInstance(className, TokenFilterFactory.class, new String[]{}, new Class[] { Map.class }, new Object[] { params });\\n }\\n if (filterFactory instanceof ResourceLoaderAware) {\\n ((ResourceLoaderAware)filterFactory).inform(loader);\\n }\\n filterFactories.add(filterFactory);\\n }\\n }\\n if (tokenizerFactory == null) {\\n throw new SolrException(ErrorCode.SERVER_ERROR,\\n \\\"tokenizer must not be null for synonym analyzer: \\\" + analyzerName);\\n } else if (filterFactories.isEmpty()) {\\n throw new SolrException(ErrorCode.SERVER_ERROR,\\n \\\"filter factories must be defined for synonym analyzer: \\\" + analyzerName);\\n }\\n\\n TokenizerChain analyzer = new TokenizerChain(tokenizerFactory,\\n filterFactories.toArray(new TokenFilterFactory[filterFactories.size()]));\\n\\n synonymAnalyzers.put(analyzerName, analyzer);\\n }\\n }\\n } catch (IOException e) {\\n throw new SolrException(ErrorCode.SERVER_ERROR, \\\"Failed to create parser. Check your config.\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d17600ca6800cc45d5e2ecce75001994\",\n \"score\": \"0.45957613\",\n \"text\": \"@Override\\n public Map<String, Class> getDictionary() {\\n synchronized (mapper) {\\n LinkedHashMap<String, Class> dictionary = new LinkedHashMap<>();\\n mapper.fillDictionary(null, dictionary);\\n return dictionary;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2ed225e4b25dc675d88a8336bea50cf\",\n \"score\": \"0.45845842\",\n \"text\": \"private static String analyzeTerm(String term) {\\n String ret = term.toLowerCase();\\n if (stopWords.contains(ret) || ret.isEmpty())\\n return \\\"\\\";\\n return stemmer.stem(ret);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f916cc01ab0a8074afd1a05c39e29cae\",\n \"score\": \"0.45765924\",\n \"text\": \"String getSynonyms();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60db4cf2e39f9b14fb689418296efd65\",\n \"score\": \"0.4564045\",\n \"text\": \"public static String stemWord(String word) {\\n if (word.matches(\\\".*\\\\\\\\s.*\\\")) throw \\n new IllegalArgumentException(\\\"argument is not a single word: \\\" + word); \\n EnglishStemmer stemmer = new EnglishStemmer();\\n stemmer.setCurrent(word);\\n stemmer.stem();\\n return stemmer.getCurrent();\\n // slow way of doing it with jcas\\n// List<TokenCanonic> c = getCanonicForms(word, CanonicForm.STEM);\\n// return c.get(0).canonic;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"800568d971fcd27c4d9a34e3ae776879\",\n \"score\": \"0.45633838\",\n \"text\": \"public String stem(String str) {\\n\\n if (str.length() <= 2) {\\n return str;\\n }\\n String stemmed = super.stem(str);\\n while (!stemmed.equals(str)) {\\n str = stemmed;\\n stemmed = super.stem(stemmed);\\n }\\n return stemmed;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f36e21e6c73f847f23810131b93258f\",\n \"score\": \"0.45390233\",\n \"text\": \"public static String stemvString(String raws)\\n\\t{\\n\\t\\tString os = \\\"\\\";\\n\\t\\tfor (String w : raws.split(\\\"\\\\\\\\s+\\\"))\\n\\t\\t{\\n\\t\\t\\tos = os + dictUtils.getStemWord(w) + \\\" \\\";\\n\\t\\t}\\n\\t\\treturn os;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a376c63362fe1abac5bfa267216ad4d\",\n \"score\": \"0.45103592\",\n \"text\": \"public static String getRoot(String word)\\n\\t{\\n\\t\\treturn (new Stemmer()).stem(word);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"034785d8b7f4df570471b68d829d6a93\",\n \"score\": \"0.44929126\",\n \"text\": \"@Override\\r\\n public String stem(String word) {\\r\\n List<String> lemmas = new LinkedList<String>();\\r\\n // Create an empty Annotation just with the given text\\r\\n Annotation document = new Annotation(word);\\r\\n // run all Annotators on this text\\r\\n this.pipeline.annotate(document);\\r\\n // Iterate over all of the sentences found\\r\\n List<CoreMap> sentences = document.get(CoreAnnotations.SentencesAnnotation.class);\\r\\n for (CoreMap sentence : sentences) {\\r\\n // Iterate over all tokens in a sentence\\r\\n for (CoreLabel token : sentence.get(CoreAnnotations.TokensAnnotation.class)) {\\r\\n // Retrieve and add the lemma for each word into the\\r\\n // list of lemmas\\r\\n lemmas.add(token.get(CoreAnnotations.LemmaAnnotation.class));\\r\\n }\\r\\n }\\r\\n return lemmas.get(0);\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"48edc94f445db00f4b6af5af40c76da2\",\n \"score\": \"0.44813037\",\n \"text\": \"static void ReadQuery(String input) throws FileNotFoundException {\\n input = input.replaceAll(\\\"[^A-Za-z]\\\",\\\" \\\");\\n String[] arr = input.split(\\\" \\\"); // splitting the whole string into words by split on the basis of white spaces\\n\\n\\n for(int i=0; i<arr.length; i++) {\\n String termWord = arr[i].toLowerCase();\\t//same pre-processing is applied to all the query word\\n //termWord = RemoveSpecialCharacter(termWord);\\n termWord = removeStopWords(termWord);\\n\\n if(!termWord.equalsIgnoreCase(\\\"\\\")) { // all the white spaces are removed as if not removed then lemmatization wont be successfully done\\n\\n termWord = Lemmatize(termWord);\\n System.out.println(termWord);\\n if(dictionary.containsKey(termWord)) {\\n List<Integer> wordList = new ArrayList<>();\\n wordList = dictionary.get(termWord);\\n int queryWordFrequency = wordList.get(totaldocument);\\n queryWordFrequency++;\\n wordList.set(totaldocument, queryWordFrequency); // all the frequencies of the query words are stored at the 56th index of the List stored in the\\n //hashmap associated with its word-terms\\n dictionary.put(termWord, wordList);\\n }\\n else {\\n //if any of the enterd query word not present in all the docs so list will have 0.0 value from 0th index to 55th and 56th index is reserver\\n // for query word frequency\\n List<Integer> wordList = new ArrayList<>();\\n for(int j=0; j<totaldocument+1; j++) {\\n wordList.add(0);\\n }\\n wordList.add(1);\\n dictionary.put(termWord, wordList); //updating the dictionary hashmap now containing all the query words frequencies\\n }\\n }\\n }\\n save();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fee3f59ee7560cf9fe537a73507b57fb\",\n \"score\": \"0.44748488\",\n \"text\": \"public List<CodeDefinitionSet> getTermdefinitionsList()\\n {\\n return termdefinitions;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f79695526a43fba09b6784250757b372\",\n \"score\": \"0.4473851\",\n \"text\": \"public static void testDictionary() throws IOException {\\n String wnhome=\\\"c:\\\\\\\\Users\\\\\\\\Katherine\\\\\\\\Documents\\\\\\\\2nd sem\\\\\\\\IR\\\\\\\\project\\\\\\\\WordNet_3.1\\\";\\n String path = wnhome + File.separator + \\\"dict\\\";\\n\\n\\n URL url = new URL(\\\"file\\\", null, path);\\n\\n IDictionary dictionary = new Dictionary(url);\\n dictionary.open();\\n // /Users/Ward/Downloads\\n IIndexWord indexWord = dictionary.getIndexWord(\\\"use\\\", POS.VERB);\\n\\n for (IWordID wordID : indexWord.getWordIDs()) {\\n\\n IWord word = dictionary.getWord(wordID);\\n for (IWord word1 : word.getSynset().getWords()) {\\n System.out.println(word1.getLemma());\\n }\\n// System.out.println(\\\"Id = \\\" + wordID);\\n// System.out.println(\\\" Lemma = \\\" + word.getLemma());\\n// System.out.println(\\\" Gloss = \\\" + word.getSynset().getGloss());\\n\\n List<ISynsetID> hypernyms =\\n word.getSynset().getRelatedSynsets(Pointer.HYPERNYM);\\n // print out each h y p e r n y m s id and synonyms\\n List<IWord> words;\\n for (ISynsetID sid : hypernyms) {\\n words = dictionary.getSynset(sid).getWords();\\n System.out.print(sid + \\\" {\\\");\\n for (Iterator<IWord> i = words.iterator(); i.hasNext(); ) {\\n System.out.print(i.next().getLemma());\\n if (i.hasNext())\\n System.out.print(\\\", \\\");\\n }\\n System.out.println(\\\"}\\\");\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d7067740a59a48c6e670d688a0f775d5\",\n \"score\": \"0.44577116\",\n \"text\": \"public Map<ModelObject, InjectionSite> getInjectionSiteMappings() {\\n return injectionSiteMapping;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1257b06cce160ebff3b4f86e14028c4d\",\n \"score\": \"0.44304916\",\n \"text\": \"public void setStem (Glyph stem)\\r\\n {\\r\\n this.stem = stem;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d8e34a78fd9c95af4b7400ccfa6856c\",\n \"score\": \"0.44289526\",\n \"text\": \"public void setStemmer( /*CustomFrenchStemmer*/ PaiceHuskFrenchStemmer stemmer ) {\\r\\n\\t\\tif ( stemmer != null ) {\\r\\n\\t\\t\\tthis.stemmer = stemmer;\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd7299934a01c51f36e06575cd4892cf\",\n \"score\": \"0.44217804\",\n \"text\": \"private String getStemming(String line) throws IOException {\\n\\t\\treturn line;\\n\\t\\t// return Stemmer.processTweets(line);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e329f5d883e46d69dde786111c9fcb1\",\n \"score\": \"0.4409332\",\n \"text\": \"public static Dictionary getDictionary() {\\n return Dictionary.dictionary;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cc087913181c171522fe5472404571f6\",\n \"score\": \"0.4403004\",\n \"text\": \"protected Iterable<ConfigSearcher.Domain> getSearcherDomains ()\\n {\\n return ImmutableList.<ConfigSearcher.Domain>of(new ConfigSearcher.ConfigDomain(this));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44797c1ef39a010a25432eb58bbe8d5b\",\n \"score\": \"0.4395655\",\n \"text\": \"public String PorterStemmingDemo(String token) {\\n\\t\\tporterStemmer stemmer = new porterStemmer();\\n\\t\\tstemmer.setCurrent(token);\\n\\t\\tif (stemmer.stem())\\n\\t\\t\\treturn stemmer.getCurrent();\\n\\t\\telse\\n\\t\\t\\treturn token;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"002b69b9c5635b90d17d0ea016c0934c\",\n \"score\": \"0.43849322\",\n \"text\": \"public List<String> stem(List<String> terms) {\\r\\n\\t\\tPaiceHuskStemmer stemmer = null;\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tstemmer = PaiceHuskStemmer.getInstance(SVMClassifier.class.getClassLoader().getResource(\\\"stemrules.txt\\\").openStream());\\r\\n\\t\\t} catch (Exception e) {\\r\\n\\t\\t\\te.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t\\tstemmer.setPreStrip(false);\\r\\n\\t\\tfor (int i = 0; i < terms.size(); i++) {\\r\\n\\t\\t\\tString w = terms.get(i);\\r\\n\\t\\t\\tterms.set(i, stemmer.stripAffixes(w));\\r\\n\\t\\t}\\r\\n\\t\\treturn terms;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f7d090effbf342aad22489396db8ce7b\",\n \"score\": \"0.43739802\",\n \"text\": \"default <T> SearchResult<T> searchDictionaryEntries(\\n @Nonnull Dictionary dictionary, @Nonnull Query query, RequestOptions requestOptions) {\\n return LaunderThrowable.await(searchDictionaryEntriesAsync(dictionary, query, requestOptions));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d924a435b03f07687ed47f9a433bda82\",\n \"score\": \"0.4358162\",\n \"text\": \"public static String stemSentNSW(String raw)\\n\\t{\\n\\t\\tString os = \\\"\\\";\\n\\t\\tfor (String w : raw.split(\\\"\\\\\\\\s+\\\"))\\n\\t\\t{\\n\\t\\t\\tos = os + dictUtils.stemNSW(w) + \\\" \\\";\\n\\t\\t}\\n\\t\\treturn os;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7c14be88fe6fcfff394738285b485bd1\",\n \"score\": \"0.43487558\",\n \"text\": \"public List<Stem> stem(char word[], int length) {\\n List<Stem> stems = new ArrayList<Stem>();\\n if (dictionary.lookupWord(word, 0, length) != null) {\\n stems.add(new Stem(word, length));\\n }\\n stems.addAll(stem(word, length, null, 0));\\n return stems;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"21171cd56f7e22268bb51ea485742a2a\",\n \"score\": \"0.43332538\",\n \"text\": \"public List<String> getSynonyms() {\\n return synonyms;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f58e4158092ac0c2eed3229efb7a3ec8\",\n \"score\": \"0.43291378\",\n \"text\": \"public String SnowballStemmingDemo(String token) {\\n\\t\\tSnowballStemmer stemmer = new englishStemmer();\\n\\t\\tstemmer.setCurrent(token);\\n\\t\\tif (stemmer.stem())\\n\\t\\t\\treturn stemmer.getCurrent();\\n\\t\\telse\\n\\t\\t\\treturn token;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"56f04056d5f53a6dd7357d97fd8a4721\",\n \"score\": \"0.43240976\",\n \"text\": \"public static void search() {\\n\\t\\tList<Domain> domains = DomainService.findAll();\\n\\t\\t\\n\\t\\tlogger.info(\\\"{} domains selected to search\\\", domains.size());\\n\\t\\t\\n\\t\\tMap<String, Integer> sourceMap = getSourceMap();\\n\\t\\tString currentDomain = \\\"\\\";\\n\\t\\t\\n\\t\\tMap<String, SearchResult> resultMap = new HashMap<String, SearchResult>();\\n\\t\\t\\n\\t\\tfor (Domain domain : domains) {\\n\\t\\t\\tcurrentDomain = domain.getName();\\n\\t\\t\\t\\n\\t\\t\\tlogger.info(\\\"{} domain searching started\\\", currentDomain);\\n\\t\\t\\t\\n\\t\\t\\t// The last search time prevents getting the same articles which were already retrieved at the last search\\n\\t\\t\\tString lastSearch = MongoService.getLastSearchTime(currentDomain);\\t\\t\\t\\n\\t\\t\\tMongoService.setLastSearchTime(currentDomain, DatetimeUtil.getUTCDatetime());\\n\\t\\t\\t\\n\\t\\t\\tlogger.info(\\\"{} domain last searched {}\\\", currentDomain, lastSearch);\\n\\t\\t\\t\\n\\t\\t\\tList<String> domainKeywords = domain.getKeywords();\\n\\t\\t\\tList<Source> sources = domain.getSources();\\n\\t\\t\\t\\n\\t\\t\\tList<String> sourceNames = new ArrayList<String>();\\n\\t\\t\\tfor (Source source : sources) {\\n\\t\\t\\t\\tsourceNames.add(source.getDomain());\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tList<Topic> topics = domain.getTopics();\\n\\t\\t\\t\\n\\t\\t\\t// If the domain contains any topic, get the topic keywords and merge them with the domain keywords. \\n\\t\\t\\tif (topics.size() > 0) {\\n\\t\\t\\t\\tfor (Topic topic : topics) {\\n\\t\\t\\t\\t\\tList<String> topicKeywords = topic.getKeywords();\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tList<String> ids = Searcher.search(sourceNames, lastSearch, domainKeywords, topicKeywords);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tfor (String id : ids) {\\n\\t\\t\\t\\t\\t\\tif (resultMap.containsKey(id)) {\\n\\t\\t\\t\\t\\t\\t\\tSearchResult result = resultMap.get(id);\\n\\t\\t\\t\\t\\t\\t\\tArticle article = result.getArticle();\\n\\t\\t\\t\\t\\t\\t\\tarticle.attachTopic(topic);\\n\\t\\t\\t\\t\\t\\t\\tarticle.attachDomain(domain);\\n\\t\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\t\\tSearchResult result;\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\t\\t\\t\\tresult = new SearchResult(id);\\n\\t\\t\\t\\t\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\tArticle article = result.getArticle();\\n\\t\\t\\t\\t\\t\\t\\tArticleDocument doc = result.getDoc();\\n\\t\\t\\t\\t\\t\\t\\tarticle.attachDomain(domain);\\n\\t\\t\\t\\t\\t\\t\\tarticle.setSourceId(sourceMap.get(doc.getSource()));\\n\\t\\t\\t\\t\\t\\t\\tarticle.attachTopic(topic);\\n\\t\\t\\t\\t\\t\\t\\tresultMap.put(id, result);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tList<String> ids = Searcher.search(sourceNames, lastSearch, domainKeywords, null);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tfor (String id : ids) {\\n\\t\\t\\t\\t\\tSearchResult result;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\t\\tresult = new SearchResult(id);\\n\\t\\t\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tArticle article = result.getArticle();\\n\\t\\t\\t\\t\\tArticleDocument doc = result.getDoc();\\n\\t\\t\\t\\t\\tarticle.attachDomain(domain);\\n\\t\\t\\t\\t\\tarticle.setSourceId(sourceMap.get(doc.getSource()));\\n\\t\\t\\t\\t\\tresultMap.put(id, result);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tfor (Map.Entry<String, SearchResult> entry : resultMap.entrySet())\\n\\t\\t\\t{\\n\\t\\t\\t\\tlogger.info(\\\" {} : {}\\\", entry.getValue().getArticle().getTitle(), entry.getValue().getArticle().getUrl());\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\tinsertArticles(resultMap);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dcd9b8f351cca047208055ca5704a874\",\n \"score\": \"0.4319871\",\n \"text\": \"public static HashMap<String, Shelter> getMap() {\\n return shelters;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff5ce21d09155e9b14572e51ade34c1e\",\n \"score\": \"0.4316778\",\n \"text\": \"public java.util.List<String> getSynonyms() {\\n return synonyms;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"30c60142476a295bd601ae622bf979f7\",\n \"score\": \"0.43097126\",\n \"text\": \"public static String preprocessStemAndTokenizeReturnDistinctTokens(String data) {\\n\\t\\t//System.out.println(\\\"Preprocess data, remove stop words, stem, tokenize ..\\\");\\n\\t\\tSet<String> transformedSet = new LinkedHashSet<String>();\\n\\t\\tList<String> stemmedList = new ArrayList<String>();\\n\\n\\t\\tTokenizer analyzer = new Tokenizer(Version.LUCENE_30);\\n\\t\\tTokenStream tokenStream = analyzer.tokenStream(\\\"\\\", new StringReader(data));\\n\\t\\tTermAttribute termAttribute;\\n\\t\\tString term;\\n\\t\\ttry {\\n\\t\\t\\twhile (tokenStream.incrementToken()) {\\n\\t\\t\\t\\ttermAttribute = tokenStream.getAttribute(TermAttribute.class);\\n\\t\\t\\t\\tterm = termAttribute.term();\\n\\t\\t\\t\\tif (digitPattern.matcher(term).find()) //ignore digits\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\tif (stopwords.contains(term)) //ignore stopwords\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\tif (term.length() <= 1) //ignore single letter words\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\tstemmer.setCurrent(term);\\n\\t\\t\\t\\tstemmer.stem();\\n\\t\\t\\t\\tstemmedList.add(stemmer.getCurrent());\\n\\t\\t\\t}\\n\\t\\t\\ttransformedSet.addAll(stemmedList);\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\tstemmedList.clear();\\n\\t\\tstemmedList = null;\\n\\t\\t\\n\\t\\treturn StringUtils.join(transformedSet.toArray(), \\\" \\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad4761ee15ba4399117bc5ee19979d07\",\n \"score\": \"0.43034095\",\n \"text\": \"public String stem(String input) {\\n String output = \\\"\\\";\\n // create an empty Annotation just with the given text\\n document = new Annotation(input);\\n // run all Annotators on this text\\n pipeline.annotate(document);\\n // traverse words in the document\\n for (CoreLabel token : document.get(CoreAnnotations.TokensAnnotation.class)) {\\n output = output + token.lemma() + \\\" \\\";\\n }\\n\\n return output.trim();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"507cb1ba93dc58aa81b3151fb45ad633\",\n \"score\": \"0.42907697\",\n \"text\": \"public Iterator<String> getDictionary() {\\r\\n return index.keySet().iterator();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dac0013f4cef2d25d81ea90aa28d9e95\",\n \"score\": \"0.4275278\",\n \"text\": \"List<Trie> findStemDescending(String stem, int n) {\\n if (stem == null)\\n return new ArrayList<>();\\n Trie start = find(stem);\\n if (start == null) {\\n return new ArrayList<>();\\n }\\n return start.findBestNMatches(n);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a4b8a9ce18a8af2174f8acd6c506dba6\",\n \"score\": \"0.42716756\",\n \"text\": \"public void parseThesaurus() throws IOException {\\r\\n\\t\\t\\t//We create an object below to read the thesaurus file\\r\\n\\t\\t\\tFileInputStream fis = new FileInputStream(\\\"src//ie//gmit//dip//resources//MobyThesaurus3.txt\\\");\\r\\n\\t\\t\\tBufferedReader br=new BufferedReader(new InputStreamReader(fis));\\r\\n\\t\\t\\t List <List<String>> listOflist= new ArrayList<>();\\r\\n\\t\\t\\t// HashMap<String,List> tMap = new HashMap<>();\\t\\t\\r\\n\\t\\t\\t List <String> individualListOfSynonyms= new ArrayList <String>();\\r\\n\\r\\n\\t\\t\\t \\r\\n\\t\\t\\t //we create a hashmap with the first word being the key value and the rest a list of synonims we will use\\r\\n\\t\\t\\twhile(br.readLine()!=null) {\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tString somestring = br.readLine();\\r\\n\\t\\t\\t\\tString[] testsplit= somestring.split(\\\",\\\");\\r\\n\\t\\t\\t\\tindividualListOfSynonyms=Arrays.asList(testsplit);\\r\\n\\t\\t\\t\\tString indexvalue=individualListOfSynonyms.get(0).toString();\\r\\n\\t\\t\\t tMap.put(indexvalue, individualListOfSynonyms);\\r\\n\\t\\t\\t //br.close();\\r\\n\\t\\t\\t //System.out.println(tMap);\\r\\n\\t\\t\\t }\\r\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0afd239cfb3239d82a9808b92ca123b8\",\n \"score\": \"0.42694214\",\n \"text\": \"public WordDictionary() {\\n root = new TrieNode('#');\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdc55225f6535b8b115a0c0057f6f974\",\n \"score\": \"0.4267829\",\n \"text\": \"public WordDictionary() {\\n root = new TrieNode(' ');\\n maxLength = Integer.MIN_VALUE;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2c369af8d77f74e90350f5a1c1bca9c\",\n \"score\": \"0.42668205\",\n \"text\": \"String getSearchDomainName();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4dbe30a3927114b9c9dfd649d340c9e6\",\n \"score\": \"0.42604092\",\n \"text\": \"public List<Dictionary> getDictionaryLikeDictEntry(String dictEntry) throws LIMSRuntimeException {\\n\\t List<Dictionary> list = new Vector<Dictionary>();\\n\\t String searchString = \\\"%\\\" + dictEntry.toUpperCase().trim() + \\\"%\\\";\\n\\t String sql = \\\"from Dictionary d where upper(d.dictEntry) like :dictionaryEntry\\\";\\n try{\\n Query query = HibernateUtil.getSession().createQuery(sql);\\n query.setString(\\\"dictionaryEntry\\\", searchString);\\n list = query.list();\\n closeSession();\\n }catch(HibernateException e){\\n handleException(e, \\\"getDictionaryLikeDictEntry\\\");\\n }\\n \\n\\t return list;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"104d8d517767769d1837b895faf4d2fb\",\n \"score\": \"0.42460096\",\n \"text\": \"public Set<String> getWords() {\\n\\t\\treturn Collections.unmodifiableSet(this.invertedIndex.keySet());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a687ab2469c0c7e1b25134cf47dd8c6e\",\n \"score\": \"0.4242315\",\n \"text\": \"private List<SearchWord> getSearchWords(Long lastUpdateTime) {\\n return new ArrayList<>();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b9241af3da13693d212ec190d4397b3a\",\n \"score\": \"0.42346993\",\n \"text\": \"public Map<String, Integer> getWords()\\n {\\n return (Map<String, Integer>) getStateHelper().eval(PropertyKeys.words, null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"139a3f5f5477a21e4051b3b1f8967dbd\",\n \"score\": \"0.4232559\",\n \"text\": \"public HashMap<String, Double> search(String query) {\\n // ===================================================\\n // 1. Fetch all inverted lists corresponding to terms\\n // in the query.\\n // ===================================================\\n String[] terms = query.split(\\\" \\\");\\n HashMap<String, Integer> qf = new HashMap<String, Integer>();\\n // Calculate term frequencies in the query\\n for (String term : terms) {\\n if (qf.containsKey(term))\\n qf.put(term, qf.get(term) + 1);\\n else\\n qf.put(term, 1);\\n }\\n HashMap<String, Double> docScore = new HashMap<String, Double>();\\n for (Entry<String, Integer> termEntry : qf.entrySet()) {\\n String term = termEntry.getKey();\\n int qfi = termEntry.getValue();\\n\\n // ===================================================\\n // 2. Compute BM25 scores for documents in the lists.\\n // Make a score list for documents in the inverted\\n // lists. Assume that no relevance information is \\n // available. For parameters, use k1=1.2, b=0.75, \\n // k2=100.\\n // ===================================================\\n double k1 = 1.2;\\n double b = 0.75;\\n double k2 = 100;\\n int ni = invIndex.get(term).size();\\n\\n\\n for (Entry<String, IndexEntry> invListEntry : invIndex.get(term).entrySet()) {\\n String docID = invListEntry.getKey();\\n double bm25Score;\\n if (docScore.containsKey(docID))\\n bm25Score = docScore.get(docID);\\n else\\n bm25Score = 0;\\n\\n // length of the document\\n int dl = docStat.get(docID);\\n // frequency of the term in the document\\n int fi = invListEntry.getValue().getTf();\\n double K = k1 * ((1 - b) + b * ((double) dl / avdl));\\n\\n // ===================================================\\n // 3. Accumulate scores for each term in a query\\n // on the score list.\\n // ===================================================\\n bm25Score += Math.log((N - ni + 0.5) / (ni + 0.5))\\n * (((k1 + 1) * fi * (k2 + 1) * qfi) / ((K + fi) * (k2 + qfi)));\\n docScore.put(docID, bm25Score);\\n }\\n }\\n\\n return docScore;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"af345073b2798c0a18f91db342e13b66\",\n \"score\": \"0.42283037\",\n \"text\": \"public String StemWordWithWordNet ( String word )\\n {\\n if ( !IsInitialized )\\n return word;\\n if ( word == null ) return null;\\n if ( morph == null ) morph = dic.getMorphologicalProcessor();\\n\\n IndexWord w;\\n try\\n {\\n w = morph.lookupBaseForm( POS.VERB, word );\\n if ( w != null )\\n return w.getLemma().toString ();\\n w = morph.lookupBaseForm( POS.NOUN, word );\\n if ( w != null )\\n return w.getLemma().toString();\\n w = morph.lookupBaseForm( POS.ADJECTIVE, word );\\n if ( w != null )\\n return w.getLemma().toString();\\n w = morph.lookupBaseForm( POS.ADVERB, word );\\n if ( w != null )\\n return w.getLemma().toString();\\n }\\n catch ( JWNLException e )\\n {\\n }\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"01df43b4ca1e3846711381ff1e9eef6a\",\n \"score\": \"0.42247534\",\n \"text\": \"public Set<String> getStopwords() {\\n return stopwords;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"98db9ab871b86c156f33192c1bf3c2e7\",\n \"score\": \"0.4223717\",\n \"text\": \"@Override\\n public List<DefinitionDTO> findAllWords() {\\n List<Word> words = wordRepository.findAll();\\n return DTOMapper.mapWordListToDefinitionDTOList(words);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2c6619653516ad7bfa045fc5086d854\",\n \"score\": \"0.42236805\",\n \"text\": \"public Set<String> getWords() {\\n return wordMap.keySet();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b8a0719734c2d3591a7e535de07b783\",\n \"score\": \"0.4223438\",\n \"text\": \"public static Set<String> preprocessStemAndTokenizeAddBigramsInSet(String data) {\\n\\t\\t//System.out.println(\\\"Preprocess data, remove stop words, stem, tokenize and get bi-grams ..\\\");\\n\\n\\t\\tSet<String> transformedSet = new LinkedHashSet<String>();\\n\\t\\tList<String> stemmedList = new ArrayList<String>();\\n\\n\\t\\t//System.out.println(\\\"Stop words length:\\\" + stopwords.size());\\n\\t\\tTokenizer analyzer = new Tokenizer(Version.LUCENE_30);\\n\\t\\tTokenStream tokenStream = analyzer.tokenStream(\\\"\\\", new StringReader(data));\\n\\t\\tTermAttribute termAttribute;\\n\\t\\tString term;\\n\\t\\ttry {\\n\\t\\t\\twhile (tokenStream.incrementToken()) {\\n\\t\\t\\t\\ttermAttribute = tokenStream.getAttribute(TermAttribute.class);\\n\\t\\t\\t\\tterm = termAttribute.term();\\n\\t\\t\\t\\tif (digitPattern.matcher(term).find()) //ignore digits\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\tif (stopwords.contains(term)) //ignore stopwords\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\tif (term.length() <= 1) //ignore single letter words\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\tstemmer.setCurrent(term);\\n\\t\\t\\t\\tstemmer.stem();\\n\\t\\t\\t\\tstemmedList.add(stemmer.getCurrent());\\n\\n\\t\\t\\t}\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\tString[] ds = stemmedList.toArray(new String[0]);\\n\\n\\t\\t/*for(int i=0; i<stemmedList.size(); i++)\\n\\t\\t\\tSystem.out.print(ds[i]+\\\"\\\\t\\\");*/\\n\\n\\t\\t//add bi-grams\\n\\t\\tfinal int size = 2;\\n\\t\\tfor (int i = 0; i < ds.length; i++) {\\n\\t\\t\\ttransformedSet.add(ds[i]); //add single words\\n\\t\\t\\tif (i + size <= ds.length) {\\n\\t\\t\\t\\tString t = \\\"\\\";\\n\\t\\t\\t\\tfor (int j = i; j < i + size; j++) {\\n\\t\\t\\t\\t\\tt += \\\" \\\" + ds[j];\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tt = t.trim().replaceAll(\\\"\\\\\\\\s+\\\", \\\"_\\\");\\n\\t\\t\\t\\ttransformedSet.add(t); //add bi-gram combined with \\\"_\\\"\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t//System.out.println(\\\" \\\")\\n\\t\\tstemmedList.clear();\\n\\t\\tstemmedList = null;\\n\\t\\tds = null;\\n\\t\\treturn transformedSet;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b72385185ae75812ebbf520553c5931\",\n \"score\": \"0.42096928\",\n \"text\": \"public String[] searchIndex(Directory ramdir, Query query) \\n\\t\\t\\tthrows Exception {\\n\\t\\tSortedMap<Float,String> sentenceMap = \\n\\t\\t\\t\\tnew TreeMap<Float,String>();\\n\\t\\tIndexReader indexReader = DirectoryReader.open(ramdir);\\n\\t\\tIndexSearcher indexSearcher = new IndexSearcher(indexReader);\\n\\t\\tBM25Similarity similarity = new BM25Similarity(1.2f, 100f);\\n\\n\\t\\tindexSearcher.setSimilarity(similarity);\\n\\t\\tTopDocs topDocs = indexSearcher.search(query, this.numSentences);\\n\\n\\t\\tfor (ScoreDoc scoreDoc : topDocs.scoreDocs) {\\n\\n\\t\\t\\t// System.out.println(scoreDoc.score)\\n\\t\\t\\tint docId = scoreDoc.doc;\\n\\t\\t\\t//System.out.println(searcher.explain(query, docId));\\n\\t\\t\\tDocument doc = indexSearcher.doc(docId);\\n\\t\\t\\t// System.out.println(sentences.get(docId));\\n\\t\\t\\tSystem.out.println(doc.get(\\\"content\\\"));\\n\\n\\t\\t\\t// System.out.println(doc.get(\\\"text\\\"));\\n\\n\\t\\t\\t// if(scoreDoc.score>=0.1F){\\n\\n\\t\\t\\tsentenceMap.put((float) scoreDoc.doc, \\\">> \\\"+StringUtils.chomp(doc.get(\\\"content\\\")));\\n\\t\\t\\t//sentenceMap.put(1/scoreDoc.score,sentences.get(docId));\\n\\t\\t\\t// System.out.println(scoreDoc);\\n\\t\\t\\t// System.out.println(StringUtils.chomp(doc.get(\\\"text\\\")));\\n\\t\\t\\t// }\\n\\t\\t}\\n\\n\\t\\treturn sentenceMap.values().toArray(new String[0]);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dfca3371e72f6fa5ba5a90804d0f81b1\",\n \"score\": \"0.42064345\",\n \"text\": \"public Dictionaries getDictionaries()\\r\\n {\\r\\n return dictionary;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f47a7689a33205e4fcf673c6c12a714f\",\n \"score\": \"0.42060074\",\n \"text\": \"public String stemming(String stopWordRemovalFile, String stemmingFilePath) throws IOException{\\n\\t\\t\\n\\t\\t//Use a for loop to go through each data file\\n\\t\\tfor (int i = 1; i <= numOfFiles; i++) {\\n\\t\\t\\t//Use FileInputStream to get the file path and use BufferedReader and InputStreamReader to read the files\\n\\t\\t\\tFileInputStream files = new FileInputStream(stopWordRemovalFile + \\\"/a\\\" + i + \\\".txt\\\");\\n\\t\\t\\tBufferedReader reader = new BufferedReader(new InputStreamReader(files));\\n\\t\\t\\t\\n\\t\\t\\t//Use FileWriter to indicate the path to where the data will be outputed and BufferedWriter to write to the indicated files\\n\\t\\t\\tFileWriter fileStream = new FileWriter(stemmingFilePath + \\\"/a\\\" + i + \\\".txt\\\"); \\n\\t BufferedWriter outputStream = new BufferedWriter(fileStream);\\n\\t\\t\\t\\n\\t //Add each line of the files into an temporary stemmer arraylist to output the words into their root form\\n\\t\\t\\tString readStopwordDoc;\\n\\t\\t\\twhile((readStopwordDoc = reader.readLine()) != null) {\\n\\t\\t\\t\\ttempStemmer.add(readStopwordDoc);\\n\\t\\t\\t}\\n\\t\\t\\t//Use the for loop to get the size of the temporary stemmer arraylist and stem the words\\n\\t\\t\\tfor(int j = 0; j < tempStemmer.size(); j++) {\\n\\t\\t\\t\\tstemming.setCurrent(tempStemmer.get(j).toString());\\n\\t\\t\\t\\tstemming.stem();\\n\\t\\t\\t\\toutputStream.write(stemming.getCurrent() + \\\"\\\\n\\\");\\n\\t\\t\\t}\\n\\t\\t\\ttempStemmer.clear();\\n\\t\\t\\t\\n\\t\\t\\toutputStream.close();\\n\\t\\t}\\n\\t\\tSystem.out.println(\\\"See Stemming Folder for to view the results\\\");\\n\\t\\treturn stemmingFilePath;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dfb9a267b577b4840f08a455a003bcbb\",\n \"score\": \"0.42022386\",\n \"text\": \"public String getSearchKeyword() {\\n return SharedPrefsUtils.getStringPreference(application.getApplicationContext(), \\\"KEY\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f0f5edc0fa3829fe3798e211134118c9\",\n \"score\": \"0.41979504\",\n \"text\": \"public TurkishSentenceAnalyzer(File dataDir) throws IOException {\\n if (!dataDir.isDirectory()) {\\n throw new IllegalArgumentException(dataDir + \\\" is not a directory.\\\");\\n }\\n if (!dataDir.exists()) {\\n throw new IllegalArgumentException(dataDir + \\\" Directory does not exist\\\");\\n }\\n List<File> dicFiles = Files.crawlDirectory(dataDir, false, Files.extensionFilter(\\\"dict\\\"));\\n System.out.println(\\\"Loading Dictionaries:\\\" + dicFiles.toString());\\n if (dicFiles.size() == 0) {\\n throw new IllegalArgumentException(\\n \\\"At least one dictionary file is required. (with txt extension)\\\");\\n }\\n turkishMorphology = TurkishMorphology.builder()\\n .addTextDictionaries(dicFiles.toArray(new File[dicFiles.size()])).build();\\n System.out.println(\\\"Morph Parser Generated.\\\");\\n\\n File rootSmoothLm = new File(dataDir, \\\"root-lm.z3.slm\\\");\\n File igSmoothLm = new File(dataDir, \\\"ig-lm.z3.slm\\\");\\n if (!rootSmoothLm.exists()) {\\n throw new IllegalArgumentException(\\\"Cannot find root model in \\\" + dataDir);\\n }\\n if (!igSmoothLm.exists()) {\\n throw new IllegalArgumentException(\\\"Cannot find suffix model in \\\" + dataDir);\\n }\\n disambiguator = new Z3MarkovModelDisambiguator(rootSmoothLm, igSmoothLm);\\n System.out.println(\\\"Morph Disambiguator Generated.\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46fde855c1caf8db5d1e52784eb31524\",\n \"score\": \"0.41920406\",\n \"text\": \"public RoAnalyzer() {\\n this.stemExclusionSet = RomanianAnalyzer.getDefaultStopSet();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"63d1c6d19f36aa82c4e5193f398bd444\",\n \"score\": \"0.41869572\",\n \"text\": \"private void init() {\\n this.sentences = new HashMap<>();\\n\\n String kapHeader = this.kapFormatter.getFormattedKapHeader();\\n Scanner scanner = new Scanner(kapHeader);\\n scanner.useDelimiter(\\\"\\\\n\\\");\\n String currentSentence = null;\\n\\n while (scanner.hasNext()) {\\n currentSentence = scanner.next();\\n String key = currentSentence.substring(0, currentSentence.indexOf(\\\"/\\\"));\\n String sentenceWithoutToken = currentSentence.substring(currentSentence.indexOf(\\\"/\\\") + 1, currentSentence.length());\\n\\n if (!this.sentences.containsKey(key)) {\\n List<String> values = new ArrayList<>();\\n this.sentences.put(key, values);\\n }\\n\\n List<String> mapList = this.sentences.get(key);\\n mapList.add(sentenceWithoutToken);\\n }\\n scanner.close();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f89ebaf039a4e0bf531a2469776d3c7\",\n \"score\": \"0.41866902\",\n \"text\": \"public Iterator words() {\\n return index.keySet().iterator();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a212f97abb1289784a4b95dd80770b0\",\n \"score\": \"0.41830432\",\n \"text\": \"public WordDictionary() {\\n root = new TrieNode();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a212f97abb1289784a4b95dd80770b0\",\n \"score\": \"0.41830432\",\n \"text\": \"public WordDictionary() {\\n root = new TrieNode();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a212f97abb1289784a4b95dd80770b0\",\n \"score\": \"0.41830432\",\n \"text\": \"public WordDictionary() {\\n root = new TrieNode();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5c24c80970746e5461d04d575e5413f4\",\n \"score\": \"0.41821817\",\n \"text\": \"public org.apache.xmlbeans.XmlAnySimpleType getSearchTerms()\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n org.apache.xmlbeans.XmlAnySimpleType target = null;\\n target = (org.apache.xmlbeans.XmlAnySimpleType)get_store().find_attribute_user(SEARCHTERMS$6);\\n if (target == null)\\n {\\n return null;\\n }\\n return target;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4edb03adb4d14ca4cf8f0053f061d765\",\n \"score\": \"0.41798487\",\n \"text\": \"private static void printStemResults(String originalWord, List<Stem> stems) {\\n StringBuilder builder = new StringBuilder().append(\\\"stem(\\\").append(originalWord).append(\\\")\\\").append(\\\"\\\\n\\\");\\n\\n for (Stem stem : stems) {\\n builder.append(\\\"- \\\").append(stem.getStem()).append(\\\": \\\");\\n\\n for (HunspellAffix prefix : stem.getPrefixes()) {\\n builder.append(prefix.getAppend()).append(\\\"+\\\");\\n\\n if (hasText(prefix.getStrip())) {\\n builder.append(prefix.getStrip()).append(\\\"-\\\");\\n }\\n }\\n\\n builder.append(stem.getStem());\\n\\n for (HunspellAffix suffix : stem.getSuffixes()) {\\n if (hasText(suffix.getStrip())) {\\n builder.append(\\\"-\\\").append(suffix.getStrip());\\n }\\n \\n builder.append(\\\"+\\\").append(suffix.getAppend());\\n }\\n builder.append(\\\"\\\\n\\\");\\n }\\n\\n System.out.println(builder);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"367176cc8f37eb41682ae41f7b5f009a\",\n \"score\": \"0.41692784\",\n \"text\": \"@Test\\n public void tweakingEnglishStopwordsAndStemming() throws IOException {\\n\\n LanguageComponents english = LanguageComponents.load(\\\"English\\\");\\n\\n // Pass-through of all suppliers to English defaults.\\n LinkedHashMap<Class<?>, Supplier<?>> componentSuppliers = new LinkedHashMap<>();\\n for (Class<?> clazz : english.components()) {\\n componentSuppliers.put(clazz, () -> english.get(clazz));\\n }\\n\\n // Now override the suppliers of Stemmer and LexicalData interfaces. These suppliers should be\\n // thread-safe, but the instances of corresponding components will not be reused across threads.\\n\\n // Override the Stemmer supplier.\\n componentSuppliers.put(\\n Stemmer.class,\\n (Supplier<Stemmer>) () -> (word) -> word.toString().toLowerCase(Locale.ROOT));\\n\\n // Override the default lexical data.\\n LexicalData lexicalData =\\n new LexicalData() {\\n Set<String> ignored = new HashSet<>(Arrays.asList(\\\"from\\\", \\\"what\\\"));\\n\\n @Override\\n public boolean ignoreLabel(CharSequence labelCandidate) {\\n // Ignore any label that has a substring 'data' in it; example.\\n return labelCandidate.toString().toLowerCase(Locale.ROOT).contains(\\\"data\\\");\\n }\\n\\n @Override\\n public boolean ignoreWord(CharSequence word) {\\n return word.length() <= 3 || ignored.contains(word.toString());\\n }\\n };\\n componentSuppliers.put(LexicalData.class, () -> lexicalData);\\n\\n // The custom set of language components can be reused for multiple clustering requests.\\n LanguageComponents customLanguage =\\n new LanguageComponents(\\\"English (customized)\\\", componentSuppliers);\\n\\n LingoClusteringAlgorithm algorithm = new LingoClusteringAlgorithm();\\n algorithm.desiredClusterCount.set(10);\\n List<Cluster<Document>> clusters =\\n algorithm.cluster(ExamplesData.documentStream(), customLanguage);\\n System.out.println(\\\"Clusters:\\\");\\n ExamplesCommon.printClusters(clusters);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e540131006a2545596bb3c18b95810a\",\n \"score\": \"0.41616538\",\n \"text\": \"public WordDictionary() {\\n root=new TrieNode();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7ef4362e13512cc787f49652d05404b\",\n \"score\": \"0.41499895\",\n \"text\": \"public DictionaryData lookup(String word) {\\r\\n\\r\\n return dictionaryMap.get(word.toUpperCase());\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"341a3d1ffa02783225eb73808539587c\",\n \"score\": \"0.41495246\",\n \"text\": \"public String getTerm() {\\n return term;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d5b28bf88d334307fc981a46b47a5c55\",\n \"score\": \"0.41449785\",\n \"text\": \"public List<Synset> getSynsets() {\\n try {\\n return Dictionary.getDefaultResourceInstance()\\n .lookupIndexWord(WSDHelper.getPOS(this.getTargetTag()),\\n this.getTargetWord())\\n .getSenses();\\n } catch (JWNLException e) {\\n e.printStackTrace();\\n }\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02fbb5e946510acf73cf7b60042f23d7\",\n \"score\": \"0.41416973\",\n \"text\": \"public static void main(final String[] args)\\r\\n {\\r\\n // Set the path to the data files\\r\\n Dictionary.initialize(\\\"c:/Program Files/WordNet/2.1/dict\\\");\\r\\n \\r\\n // Get an instance of the Dictionary object\\r\\n Dictionary dict = Dictionary.getInstance();\\r\\n \\r\\n // Declare a filter for all terms starting with \\\"car\\\", ignoring case\\r\\n TermFilter filter = new WildcardFilter(\\\"car*\\\", true);\\r\\n \\r\\n // Get an iterator to the list of nouns\\r\\n Iterator<IndexTerm> iter = \\r\\n dict.getIndexTermIterator(PartOfSpeech.NOUN, 1, filter);\\r\\n \\r\\n // Go over the list items\\r\\n while (iter.hasNext())\\r\\n {\\r\\n // Get the next object\\r\\n IndexTerm term = iter.next();\\r\\n \\r\\n // Write out the object\\r\\n System.out.println(term.toString());\\r\\n \\r\\n // Write out the unique pointers for this term\\r\\n int nNumPtrs = term.getPointerCount();\\r\\n if (nNumPtrs > 0)\\r\\n {\\r\\n // Print out the number of pointers\\r\\n System.out.println(\\\"\\\\nThis term has \\\" + Integer.toString(nNumPtrs) +\\r\\n \\\" pointers\\\");\\r\\n \\r\\n // Print out all of the pointers\\r\\n String[] ptrs = term.getPointers();\\r\\n for (int i = 0; i < nNumPtrs; ++i)\\r\\n {\\r\\n String p = Pointer.getPointerDescription(term.getPartOfSpeech(), ptrs[i]);\\r\\n System.out.println(ptrs[i] + \\\": \\\" + p);\\r\\n }\\r\\n }\\r\\n \\r\\n // Get the definitions for this term\\r\\n int nNumSynsets = term.getSynsetCount();\\r\\n if (nNumSynsets > 0)\\r\\n {\\r\\n // Print out the number of synsets\\r\\n System.out.println(\\\"\\\\nThis term has \\\" + Integer.toString(nNumSynsets) +\\r\\n \\\" synsets\\\");\\r\\n \\r\\n // Print out all of the synsets\\r\\n Synset[] synsets = term.getSynsets();\\r\\n for (int i = 0; i < nNumSynsets; ++i)\\r\\n {\\r\\n System.out.println(synsets[i].toString());\\r\\n }\\r\\n }\\r\\n }\\r\\n \\r\\n System.out.println(\\\"Demo processing finished.\\\");\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac06c762d4bdc578a01ada85d14496f6\",\n \"score\": \"0.413612\",\n \"text\": \"public PinyinSearchMap getSearchMap() {\\n return mSearchMap;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f9a6bbee25b255a461e2d3460ec48a40\",\n \"score\": \"0.41322854\",\n \"text\": \"public List < Stem > getSelectedStem() {\\r\\n\\r\\n List < Stem > result = new ArrayList < Stem >();\\r\\n List < Sortable > selected = this.stemSearch.getSelected();\\r\\n for (Sortable sortable : selected) {\\r\\n result.add((Stem) sortable);\\r\\n }\\r\\n return result;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b3ab09b11dc7a09d85155f8cb83434d5\",\n \"score\": \"0.41248268\",\n \"text\": \"public List<String> findPhrases() {\\n\\t\\t\\n\\t\\tTrie root = new Trie();\\n\\t\\tList<String> result = new ArrayList<>();\\n\\t\\tQueue<TrieNode> queue = new LinkedList<>();\\n\\n\\t\\tfor (String phrase : phrases) {\\n\\t\\t\\t// build the trie\\n\\t\\t\\t\\n\\t\\t\\troot.insert(phrase);\\n\\t\\t}\\n\\t\\t\\n\\t\\t// initialize the queue\\n\\t\\tqueue.offer(root.getRootNode());\\n\\t\\t\\t\\t\\n\\t\\tfor (String word : stream) {\\n\\t\\t\\t\\n\\t\\t\\t// Search one word at a time and store TrieNodes that match this word.\\n\\t\\t\\t// If the current word extends a previous TrieNode, it may be a matching phrase\\n\\t\\t\\t\\n\\t\\t\\t// buffer to store current matches\\n\\t\\t\\tQueue<TrieNode> buffer = new LinkedList<>();\\n\\t\\t\\t\\n\\t\\t\\twhile(!queue.isEmpty()) {\\n\\t\\t\\t\\t// iterate through previous matches\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tTrieNode next = queue.poll().find(word);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif (next != null) {\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// if this word extends the previous word, add it to the buffer\\n\\t\\t\\t\\t\\t// in case the next word can also extend it\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tbuffer.offer(next);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tif (next.isPhrase()) {\\n\\t\\t\\t\\t\\t\\t// if we found a valid phrase node, add it to the result\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tresult.add(next.getPhrase());\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tqueue = buffer;\\n\\t\\t\\tqueue.offer(root.getRootNode());\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn result;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"150dc62dadbc743252d8ac4b02d0eac5\",\n \"score\": \"0.41236934\",\n \"text\": \"public static void Stemmingmethod()throws Exception\\n{\\n char[] w = new char[501];\\n Stemmer s = new Stemmer();\\n String prcessedtxt=\\\"\\\";\\n ArrayList<String> finalsen= new ArrayList();\\n BufferedWriter writer = new BufferedWriter(new FileWriter(\\\"fullyprocessed.txt\\\"));\\n\\n String u=null;\\n \\n {\\n FileInputStream in = new FileInputStream(\\\"stopwordsremoved.txt\\\");\\n\\n while(true)\\n\\n { int ch = in.read();\\n if (Character.isLetter((char) ch))\\n {\\n int j = 0;\\n while(true)\\n { ch = Character.toLowerCase((char) ch);\\n w[j] = (char) ch;\\n if (j < 500) j++;\\n ch = in.read();\\n if (!Character.isLetter((char) ch))\\n {\\n \\n s.add(w, j); \\n\\n s.stem();\\n { \\n\\n u = s.toString();\\n finalsen.add(u);\\n /* to test getResultBuffer(), getResultLength() : */\\n /* u = new String(s.getResultBuffer(), 0, s.getResultLength()); */\\n\\n System.out.print(u);\\n }\\n break;\\n }\\n }\\n }\\n if (ch < 0) break;\\n System.out.print((char)ch);\\n finalsen.add(\\\"\\\"+(char)ch);\\n\\n\\n }\\n }\\n \\n \\n \\n for(String word:finalsen){\\n prcessedtxt=prcessedtxt+\\\"\\\"+ word;\\n }\\n writer.write(prcessedtxt+\\\"\\\\n\\\"); \\n prcessedtxt=\\\"\\\";\\n finalsen.clear();\\n writer.close();\\n\\n\\n \\n}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990996,"cells":{"query_id":{"kind":"string","value":"bc4146f1a19a6c2b1fbeeeceb7d57b87"},"query":{"kind":"string","value":"/ Gets the second job which is to calculate the distribution (no of nodes) of each degree"},"positive_passages":{"kind":"list like","value":[{"docid":"22de7db2973e445d17f39ecbc3d8dbb5","score":"0.6707972","text":"private static Job getDistributionJob() throws IOException{\n\t\t\tConfiguration conf=new Configuration();\n\t\t\tconf.set(\"TOTAL_NO_NODES\", String.valueOf(total_no_nodes));\n\t \tJob job = Job.getInstance(conf);\n\t\t\tjob.setJarByClass(OutDegreeDistribution.class);\n\t \tjob.setMapperClass(OutDistributionMapper.class);\n\t \t//job.setCombinerClass(OutDistributionReducer.class);\n\t \tjob.setReducerClass(OutDistributionReducer.class);\n\t \tjob.setOutputKeyClass(Text.class);\n\t\t\tjob.setOutputValueClass(FloatWritable.class);\n\t \t\n\t\t\treturn job;\n\t }","title":""}],"string":"[\n {\n \"docid\": \"22de7db2973e445d17f39ecbc3d8dbb5\",\n \"score\": \"0.6707972\",\n \"text\": \"private static Job getDistributionJob() throws IOException{\\n\\t\\t\\tConfiguration conf=new Configuration();\\n\\t\\t\\tconf.set(\\\"TOTAL_NO_NODES\\\", String.valueOf(total_no_nodes));\\n\\t \\tJob job = Job.getInstance(conf);\\n\\t\\t\\tjob.setJarByClass(OutDegreeDistribution.class);\\n\\t \\tjob.setMapperClass(OutDistributionMapper.class);\\n\\t \\t//job.setCombinerClass(OutDistributionReducer.class);\\n\\t \\tjob.setReducerClass(OutDistributionReducer.class);\\n\\t \\tjob.setOutputKeyClass(Text.class);\\n\\t\\t\\tjob.setOutputValueClass(FloatWritable.class);\\n\\t \\t\\n\\t\\t\\treturn job;\\n\\t }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"d20206f5a066e2cc06443d4a5055bd04","score":"0.6336892","text":"private static Job getDegreeJob() throws IOException{\n\t \tJob job = Job.getInstance(new Configuration());\n\t\t\tjob.setJarByClass(OutDegreeDistribution.class);\n\t \tjob.setMapperClass(OutDegreeMapper.class);\n\t \tjob.setCombinerClass(OutDegreeReducer.class);\n\t \tjob.setReducerClass(OutDegreeReducer.class);\n\t \tjob.setOutputKeyClass(Text.class);\n\t\t\tjob.setOutputValueClass(IntWritable.class);\n\t \t\n\t\t\treturn job;\n\t }","title":""},{"docid":"e98e99ac7626bf9f3c908487fb286592","score":"0.5990014","text":"public static void main(String[] args) throws Exception {\n\t\t\tConfiguration conf = new Configuration();\n\t\t\tString[] otherArgs = new GenericOptionsParser(conf, args)\n\t\t\t\t\t.getRemainingArgs();\n\t\t\tif (otherArgs.length != 2) {\n\t\t\t\tSystem.err.println(\"Usage: OutDegreeDistribution <in> <out>\");\n\t\t\t\tSystem.exit(2);\n\t\t\t}\n\t\t\tString outputPathDegreeReducer=otherArgs[1]+\"/degree\";\n\t\t\tString outputPathDistributionReducer=otherArgs[1]+\"/distrbn\";\n\t\t\t//Let's run the degree finder job for each node\n\t\t\tJob degreeJob=getDegreeJob();\n\t\t\tFileInputFormat.addInputPath(degreeJob, new Path(otherArgs[0]));\n\t\t\tFileOutputFormat.setOutputPath(degreeJob, new Path(outputPathDegreeReducer));\n\t\t\tif (!degreeJob.waitForCompletion(true)) System.exit(1); //don't proceed if this is not succeeded\n\t\t\ttotal_no_nodes= degreeJob.getCounters().findCounter(Task.Counter.REDUCE_OUTPUT_RECORDS).getValue();\n\t\t\t\t\t\t\n\t\t\t//Now with the above result, let's run the distribution for each degree\n\t\t\tJob distributionJob = getDistributionJob();\n\t\t\tFileInputFormat.addInputPath(distributionJob, new Path(outputPathDegreeReducer));\n\t\t\tFileOutputFormat.setOutputPath(distributionJob, new Path(outputPathDistributionReducer));\n\t\t\tif (!distributionJob.waitForCompletion(true)) System.exit(1);\n\t\t\tSystem.exit(0);\n\t\t}","title":""},{"docid":"2df42d1727eb9d53fce5a53a4fe62dbf","score":"0.5586882","text":"int getNumberOfParallelSubtasks();","title":""},{"docid":"5fba2ab1b4178abf7ebecb0ff8892f9b","score":"0.5563308","text":"@Override\n\tpublic java.lang.Long getCnt() {\n\t\treturn _simulationJob.getCnt();\n\t}","title":""},{"docid":"85c3231bbdb7c4e6ce27799cf821d22c","score":"0.55617857","text":"public int run(String[] args) throws Exception \n\t{\n\t\tint numberOfPartition = 2;\n\t\t//boolean self_join = false;\n\t\tJobConf conf = new JobConf(getConf(), KNNStep1.class);\n\t\tconf.setJobName(\"KNNStep1\");\n\n\t\tconf.setMapperClass(MapClass.class); \n\t\tconf.setReducerClass(Reduce.class);\n\t\tconf.setOutputKeyClass(IntWritable.class);\n\t\tconf.setOutputValueClass(KNNStep1Val.class);\n\t\t\n\t\tList<String> other_args = new ArrayList<String>();\n\t\tfor(int i=0; i < args.length; ++i) \n\t\t{\n\t\t\ttry {\n\t\t\t\tif (\"-m\".equals(args[i])) {\n\t\t\t\t\t//conf.setNumMapTasks(Integer.parseInt(args[++i]));\n\t\t\t\t\t++i;\n\t\t\t\t} else if (\"-r\".equals(args[i])) {\n\t\t\t\t\tconf.setNumReduceTasks(Integer.parseInt(args[++i]));\n\t\t\t\t} else if (\"-p\".equals(args[i])) {\n\t\t\t\t\tnumberOfPartition = Integer.parseInt(args[++i]);\n\t\t\t\t\tconf.setInt(\"numberOfPartition\", numberOfPartition);\n\t\t\t\t} else if (\"-d\".equals(args[i])) {\n\t\t\t\t\tconf.setInt(\"dimension\", Integer.parseInt(args[++i]));\n\t\t\t\t} else if (\"-k\".equals(args[i])) {\n\t\t\t\t\tconf.setInt(\"knn\", Integer.parseInt(args[++i]));\n\t\t\t\t} else if (\"-b\".equals(args[i])) {\n\t\t\t\t\tconf.setInt(\"blockSize\", Integer.parseInt(args[++i]));\n\t\t\t\t} else {\n\t\t\t\t\tother_args.add(args[i]);\n\t\t\t\t}\n\t\t\t\t// set the number of reducers\n\t\t\t\tconf.setNumReduceTasks(numberOfPartition * numberOfPartition);\n\t\t\t} \n\t\t\tcatch (NumberFormatException except) {\n\t\t\t\tSystem.out.println(\"ERROR: Integer expected instead of \" + args[i]);\n\t\t\t\treturn printUsage();\n\t\t\t} catch (ArrayIndexOutOfBoundsException except) {\n\t\t\t\tSystem.out.println(\"ERROR: Required parameter missing from \" + args[i-1]);\n\t\t\t\treturn printUsage();\n\t\t \t}\n\t\t}\n\n\t\t//if (args.length != 2) {\n\t\tif (other_args.size() != 3) {\n\t\t\tSystem.out.println(\"ERROR: Wrong number of parameters: \" + other_args.size() + \" instead of 3.\");\n\t\t return printUsage();\n\t\t}\n\n\t\tFileInputFormat.setInputPaths(conf, other_args.get(0));\n\t\tFileInputFormat.setInputPaths(conf, other_args.get(1));\n\t\t//System.out.println(\"set R to the input path\");\n\t\t//FileInputFormat.addInputPaths(conf, args[2]);\n\t\t//System.out.println(\"set S to the input path\");\n\t\tFileOutputFormat.setOutputPath(conf, new Path(other_args.get(2)));\n\n\t\tJobClient.runJob(conf);\n\n\t\treturn 0;\n\t}","title":""},{"docid":"87318d21cfb7bb24cb98059857fc4f3e","score":"0.55419433","text":"private int getIterationsNumber() {\n int log2 = (int) (Math.log(MPIContext.getProcessesNumber()) / Math.log(2d));\n return log2;\n }","title":""},{"docid":"f1713689e542a4201245b02f3fd30180","score":"0.55403566","text":"static int[] componentsInGraph(int[][] gb) {\n\t\tDisjointSet solution = new DisjointSet();\n int n = gb.length;\n int row = gb.length;\n int col = gb[0].length;\n \n for(int i=1;i<=n;i++){\n solution.makeSet(i);\n solution.makeSet(i+n);\n }\n for(int i=0;i<row;i++){\n solution.join(gb[i][0],gb[i][1]);\n }\n\n\t\tfor(int i=1;i<=n;i++){\n\t\t\tSystem.out.println(i+\"th Parent \"+ solution.findSet(i).id);\n\t\t\tSystem.out.println(i+\"th Set total Count \"+ solution.findSet(i).rank);\n\t\t\t\n\t\t\tSystem.out.println((i+n)+\"th Parent \"+ solution.findSet(i+n).id);\n\t\t\tSystem.out.println((i+n)+\"th Set total Count \"+ solution.findSet(i+n).rank);\n\t\t\t\n\t\t\tSystem.out.println(\"\");\n\t\t}\n\t\t\n int big = Integer.MIN_VALUE;\n int secondBig = Integer.MIN_VALUE;\n Set<Map.Entry<Integer,Node>> entrySet = solution.map.entrySet();\n for(Map.Entry<Integer,Node> entry :entrySet){\n int rank = entry.getValue().rank;\n if(big < rank){\n secondBig = big;\n \tbig = rank;\n \n }else if(secondBig < rank ){\n \tsecondBig = rank;\n }\n /*if(rank > 1){\n \tif(secondBig > rank){\n secondBig = rank;\n }\n }*/\n \n }\n try {\n\t\t\tBufferedWriter bufferedWriter1 = new BufferedWriter(new FileWriter(\"D:\\\\Notes\\\\component_result.txt\"));\n\t\t\tentrySet = solution.map.entrySet();\n\t\t\t\n\t for(Map.Entry<Integer,Node> entry :entrySet){\n\t int rank = entry.getValue().rank;\n\t if(rank!=1){\n\t \tbufferedWriter1.write(String.valueOf(entry.getValue().id)+ \" rank = \" + String.valueOf(entry.getValue().rank));\n\t\t bufferedWriter1.newLine();\n\t }\n\t \n\t }\n\t bufferedWriter1.flush();\n\t bufferedWriter1.close();\n\t\t} catch (IOException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n \n int result[] = new int[2];\n \n if(big >1)\n result[0] = big;\n if(secondBig > 1)\n result[1] = secondBig;\n \n System.out.println(\"Max = \"+ big);\n System.out.println(\"Min = \"+ secondBig);\n \n return result;\n \n }","title":""},{"docid":"03a1d33867a5cd7adbe8cf62f85a9718","score":"0.5536754","text":"protected Integer compute() {\n StringBuffer message = new StringBuffer();\n message.append(\"Thread Name:\" + Thread.currentThread().getName() + \"= \");\n for (int item : this.numbers) {\n message.append(item + \", \");\n }\n System.out.println(message);\n if (this.numbers.length > 5) {\n SumTask left = new SumTask(Arrays.copyOfRange(this.numbers, 0, this.numbers.length / 2));\n SumTask right = new SumTask(Arrays.copyOfRange(this.numbers, this.numbers.length / 2, this.numbers.length));\n left.fork(); // this will again call compute\n right.fork();// this will again call compute\n return left.join() + right.join();\n } else {\n return IntStream.of(this.numbers).sum();\n }\n }","title":""},{"docid":"99546ed5d81902221cbb83913caa1c6e","score":"0.5521563","text":"@Override\r\n \tpublic double wait(NodeSection CallingSection) throws jmt.common.exception.NetException {\r\n \t\t// Gets number of jobs in the station as the sum of job in queue and job under service\r\n \t\ttry {\r\n \t\t\t// Number of jobs into service section\r\n\t\t\tint jobs = CallingSection.getOwnerNode().getIntNodeProperty(NodeSection.PROPERTY_ID_RESIDENT_JOBS);\r\n \r\n \t\t\t// Search in cache for corresponding item\r\n \t\t\tMeanCache item = (MeanCache) cache.get(jobs);\r\n \t\t\tif (item == null) {\r\n \t\t\t\t// Item is not in cache, so retrives right LDParameter and perform parsing of function\r\n \t\t\t\tint index = Arrays.binarySearch(parameters, new Integer(jobs));\r\n \t\t\t\tif (index < 0) {\r\n \t\t\t\t\tindex = -index - 2;\r\n \t\t\t\t}\r\n \t\t\t\tLDParameter parameter = parameters[index];\r\n \t\t\t\titem = new MeanCache(parameter, jobs);\r\n \t\t\t\tcache.set(jobs, item);\r\n \t\t\t}\r\n \t\t\t// At this point item is retrived from cache or parsed.\r\n \t\t\tif (item.meanValid) {\r\n \t\t\t\titem.parameter.setMean(item.mean); // Note: this is needed as parameter is shared amongs all items of the same LDParameter\r\n \t\t\t}\r\n \r\n \t\t\treturn item.distribution.nextRand(item.parameter);\r\n \r\n \t\t} catch (NetException e) {\r\n \t\t\tthrow new NetException(\"Error in LoadDependentStrategy: Cannot get number of jobs into current station\");\r\n \t\t} catch (IncorrectDistributionParameterException ex) {\r\n \t\t\tthrow new NetException(ex.getMessage());\r\n \t\t}\r\n \t}","title":""},{"docid":"1c1c232bcf53363c019847b5242f1005","score":"0.55198276","text":"public int getTotalJobs();","title":""},{"docid":"44971a727247562c1ee13a606bf6f66c","score":"0.5465631","text":"public double find_density()\n{ double density=0.0;\n double tweight=0.0;\n double n=ProteinChain.size();\n for (Protein ProteinChain1 : ProteinChain) \n { double pweight=0.0;\n for(Node tempNode:ProteinChain1.neighbours)\n {pweight=pweight++;\n }\n tweight=tweight+pweight;\n\n }\n density= tweight/(n*(n-1));\n return density;\n}","title":""},{"docid":"f998bd0374682f8f9f82c62130413cad","score":"0.5453887","text":"private double[] getClassDistribution(myC45 node) {\n double [] dist = new double[node.dataset.numClasses()];\n Enumeration instEnum = node.dataset.enumerateInstances();\n while (instEnum.hasMoreElements()) {\n Instance inst = (Instance) instEnum.nextElement();\n dist[(int) inst.classValue()]++;\n }\n Utils.normalize(dist);\n return dist;\n }","title":""},{"docid":"13f5d63f4035c836c085570eaf047019","score":"0.53901565","text":"@Override\n protected Integer compute(){\n if (high - low > SEQUENCIAL_CUTOFF){\n SumHoursCalculator left = new SumHoursCalculator(\n trees, low, (high + low)/2\n );\n SumHoursCalculator right = new SumHoursCalculator(\n trees, (high + low)/2, high\n );\n\n right.fork();\n int leftAns = left.compute();\n int rightAns = 0;\n try{\n rightAns = right.join();\n } catch(RuntimeException e){\n System.out.println(e);\n }\n return leftAns + rightAns;\n\n }else{\n int sum = 0;\n for (int i = low; i < high; i++)\n sum += trees[i].sunlight;\n return sum;\n } \n }","title":""},{"docid":"c7836032a5aa1e48ab723de77ef27bfd","score":"0.5378121","text":"int getNumberOfNodes();","title":""},{"docid":"bb7c6737e462e28501343d862d736210","score":"0.53726035","text":"int getNumSubpartitions();","title":""},{"docid":"542c842fb9d81434b51daefe75e863d4","score":"0.5340461","text":"private void getPosteriorDistributionsID() {\n NodeList notRemoved;\n Node x;\n RelationList rLtemp;\n Relation valueRel;\n PairTable pt = null;\n int i, j, s;\n Vector vars = null;\n String operation;\n String base;\n boolean combined;\n\n if (generateDebugInformation == true) {\n System.out.println(\"Entrando a metodo getPosteriorDistributionsID\");\n }\n\n // Initializes the crono\n crono.start();\n\n // First at all, remove all results stored in results vector\n results.removeAllElements();\n\n // Insert in notRemoved all not observed nodes\n notRemoved = getNotObservedNodes();\n\n // Make a pair table\n pt = new PairTable((IDiagram) network, observations);\n\n // Consider the impact of observations on relations\n restrictCurrentRelationsToObservations();\n\n if (generateStatistics == true) {\n // Note down the data about the beginning of the evaluation\n statistics.addOperation(\"Start of evaluation: \");\n statistics.addSize(currentRelations.sumSizes());\n statistics.addTime(crono.getTime());\n }\n\n // Loop to eliminate the variables\n\n for (i = notRemoved.size(); i > 0; i--) {\n\n // Select next variable to remove\n\n x = pt.nextToRemoveID();\n\n if (generateStatistics == true) {\n // Store the operation\n\n statistics.addOperation(\"Variable elimination: \" + x.getName());\n }\n\n // Delete this node of notRemoved and pairTable\n\n notRemoved.removeNode(x);\n pt.removeVariable((FiniteStates) x);\n\n // Combine the potentials of this node\n\n if (generateDebugInformation == true) {\n System.out.println(\"Variable a eliminar: \" + x.getName());\n }\n\n if (x.getKindOfNode() == Node.CHANCE) {\n\n if (generateDebugInformation == true) {\n System.out.println(\"A eliminar nodo de azar\");\n }\n\n combinePotentialsToRemoveChanceNode((FiniteStates) x, pt);\n } else {\n if (x.getKindOfNode() == Node.DECISION) {\n\n if (generateDebugInformation == true) {\n System.out.println(\"A eliminar nodo de decision\");\n }\n\n combinePotentialsToRemoveDecisionNode((FiniteStates) x, pt);\n }\n }\n\n if (generateStatistics == true) {\n // Store the size of the diagram at this moment\n\n statistics.addSize(currentRelations.sumSizes());\n statistics.addTime(crono.getTime());\n }\n } // end for\n\n // Finally prints the data about the evaluation\n\n if (generateStatistics == true) {\n\n // Sets the number of milliseconds needed to evaluate\n\n statistics.setTime(crono.getTime());\n\n // Generate the file with the statistics measures\n\n try {\n statistics.printOperationsAndSizes();\n } catch (IOException e) {\n }\n ;\n }\n\n //Althoug generateStatistics can be false, the final expected utility must be\n //stored in order to be showed in the inference panel.\n for (i = 0; i < currentRelations.size(); i++) {\n valueRel = (Relation) currentRelations.elementAt(i);\n if (valueRel.getKind() == Relation.UTILITY) {\n statistics.setFinalExpectedUtility(valueRel.getValues());\n break;\n }\n }\n\n // View the time needed to solve the IDiagram\n\n crono.viewTime();\n\n if (generateDebugInformation == true) {\n System.out.println(\"Saliendo de metodo getPosteriorDistributionsID\");\n }\n\n }","title":""},{"docid":"7ab196d68ad473c534ac78b32fcec776","score":"0.5333414","text":"private static void pageRankJob(Configuration conf, int iterationNo, \n\t\t\tString initialPath) {\n\n\t\ttry {\t\t\n\t\t\tJob job;\n\t\t\tjob = Job.getInstance(conf, \"PageRankEvaluation\");\n\t\t\tjob.setJarByClass(Driver.class);\n\t\t\tjob.setMapperClass(PageRankMapper.class);\n\t\t\tjob.setReducerClass(PageRankReducer.class);\n\t\t\tjob.setMapOutputKeyClass(Text.class);\n\t\t\tjob.setMapOutputValueClass(EmitMultiValueWritable.class);\n\t\t\tjob.setOutputKeyClass(Text.class);\n\t\t\tjob.setOutputValueClass(NullWritable.class);\n\n\t\t\tStringBuilder inputPath = new StringBuilder(initialPath + \"_\" + iterationNo);\n\t\t\tStringBuilder outputPath = new StringBuilder(initialPath + \"_\" + (iterationNo+1));\n\t\t\tFileInputFormat.addInputPath(job, new Path(inputPath.toString()));\n\t\t\tFileOutputFormat.setOutputPath(job, new Path(outputPath.toString()));\n\t\t\t\n\t\t\tboolean isSecondJobComplete = job.waitForCompletion(true);\n\t\t\tif(!isSecondJobComplete) {\n\t\t\t\tthrow new Exception(\"Page Rank failed\");\n\t\t\t}\n\t\t\t\n\t\t\t//Counters configured to the dangling nodes factor in each iteration\n\t\t\tCounters counters = job.getCounters();\n\t\t\tLong danglingPageRankLV = counters.findCounter(DanglingCounter.DANGLING_NODE_MASS).getValue();\n//\t\t\tDouble danglingPageRank = Double.longBitsToDouble(danglingPageRankLV);\n\t\t\tconf.setLong(\"danglingPageRank\", danglingPageRankLV);\n\t\t\t\n\t\t\tLong totalPageRankLV = counters.findCounter(DanglingCounter.TOTAL_PAGE_RANK).getValue();\n\t\t\tDouble totalPageRankDouble = Double.longBitsToDouble(totalPageRankLV);\n\t\t\tSystem.out.println(\"Total page rank in iteration \" + iterationNo + \"=\" + totalPageRankDouble);\n\t\t\t\n\t\t} catch (IOException e) {\n\t\t\te.printStackTrace();\n\t\t} catch (ClassNotFoundException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t} catch (InterruptedException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t} catch (Exception e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\t}","title":""},{"docid":"58a7818da72b9e279c8740f1af926ff0","score":"0.5323558","text":"public static HashMap<String,Integer> kCoreExtractionUpdated(DocGraph dg)\n\t{\n\t\tHashMap<String,Integer> nodesCores=new HashMap<String,Integer>();\n\t\tint core=0;\n\t\tdo\n\t\t{\n\t\t\tcore=core+1;\t\n\t//\t\tSystem.out.println(\"Peeling nodes at core:\"+core);\n\t\t\tArrayList<String> peeled=corePeelOff(dg,core);\n\t\t\t\n\t\t\tfor(int i=0;i<peeled.size();i++)\n\t\t\t{\tnodesCores.put(peeled.get(i),core);\n\t\t\t}\n\t\t\t\n\t\t\t\n\t\t} while(dg.Nodes.size()!=0); // stop when all nodes are peeled off\n\t\t\n\t\t//System.out.println(\"Final Core is \"+ Integer.toString(core-1));\n\t\n\t\treturn nodesCores;\n\t\t\n\t}","title":""},{"docid":"a0982339b5ee774936e60a445a150512","score":"0.5310132","text":"int diameter()\r\n {\r\n int diam = N-1; //initialization\r\n bfs(0);\r\n int node1 = last;\r\n bfs(node1);\r\n int node2 = last;\r\n int dist = distance(node1,node2);\r\n \r\n return dist;\r\n }","title":""},{"docid":"62d39988f74cc1d3dd05b649200173b1","score":"0.5290707","text":"VariableAmount getAttemptsPerCluster();","title":""},{"docid":"bec27472020ad58770d3d0c4b802cef3","score":"0.52611685","text":"public HashMap<Integer, HashSet<MyNode>> findCommunities(int numCommunities){\n\n// List<Graph> result = new LinkedList<Graph>();\n\n //compute betweenness of all edges\n //for each node do a bfs\n int count = 0;\n// int innerCount = 0;\n Set<Integer> allNodeKeys = nodes.keySet();\n int size = allNodeKeys.size();\n int totalPermutations = size;\n int significantWork = (int) (totalPermutations/10000);\n LocalDateTime startTime = LocalDateTime.now();\n\n for (Integer start : allNodeKeys) {\n\n //track & display progress\n count++;\n if (count % significantWork == 0) {\n displayProgress(count, totalPermutations, startTime);\n }\n if(count % 100 == 0){\n System.out.println(\"Starting bfs for \" + count + \"th node: from \" + start);\n }\n\n //do work\n HashMap<Integer, ArrayList<MyNode>> parent = bfs(start);//doing BFS with no goal. stops when out of nodes.\n\n for(Integer end : allNodeKeys){//now we reconstruct from all nodes back to start\n MyNode endNode = nodes.get(end);\n if (start != end && endNode.getStepReached() > 0){//stepReached == -1 mean there is no path (is set in the bfs)\n// innerCount++;\n\n ArrayList<LinkedList<MyNode>> shortestPaths = reconstructPaths(start, end, endNode.getStepReached(), parent);\n calculateFlow(shortestPaths);\n }\n }\n }\n\n System.out.println(\"Sorting edges...\");\n LinkedList<Entry<SimpleEdge, Double>> sortedEdges = sortByFlow(flow);\n System.out.println(\"Finding Communities\");\n\n HashMap<Integer, HashSet<MyNode>> result = divideInCommunities(numCommunities, sortedEdges);\n\n return result;\n }","title":""},{"docid":"9b946a7f17b741101decde7968ae789b","score":"0.5251509","text":"@Override\n public int run(String[] args) throws ClassNotFoundException, IOException, InterruptedException {\n\n if (args.length < 3) {\n System.err.printf(\"Usage: hadoop jar PageRank-jar-with-dependencies.jar <transition directory> \" +\n \" <PR directory> <times of convergence>\" +\n \" [generic options]\\n\",\n getClass().getSimpleName());\n ToolRunner.printGenericCommandUsage(System.err);\n return -1;\n }\n\n String transitionMatrix = args[0];\n String prMatrix = args[1];\n //String subPRMatrix = args[2]; //first mapreduce job's output\n int count = Integer.parseInt(args[2]); //times of convergence\n\n final int normalTermination = 0;\n int status = normalTermination;\n\n // after several loop, get the convergence\n for (int i = 0; i < count; i++) {\n\n // first MapReduce job， prMatrix+i is the directory of each PRn, subPRMatrix + i is the output of first MR\n status = cellMultiplicationJob(transitionMatrix, prMatrix, i);\n\n // if mapreduce terminates abnormally, quit immediately.\n if (status != normalTermination) {\n /** TODO whether stopping mapreduce job when one of Mapreduce job terminates abnormally? */\n break;\n }\n\n // second MapReduce job: prMatrix is the directory prefix of pr beta Map. For example: SumUpJob(0,/pagerank)\n status = SumUpJob(i, prMatrix);\n\n // if mapreduce terminates abnormally, quit immediately.\n if (status != normalTermination) {\n /** TODO whether stopping mapreduce job when one of Mapreduce job terminates abnormally? */\n break;\n }\n }\n\n return status;\n }","title":""},{"docid":"22686bfe983046644b2bb49349c3177b","score":"0.52468836","text":"public double getMaximumNoOfIterations()\n {\n return m_Clusterer.getMaximumNoOfIterations();\n }","title":""},{"docid":"76c3e81cdf851f93984cb636a84fb2b9","score":"0.52443093","text":"public double[] compute(int iterations) {\n Arrays.fill(pageRank, 1.0);\n for (int i = 0; i < iterations; i++) {\n nodeIterator.forEachNode(this);\n }\n return pageRank;\n }","title":""},{"docid":"f64f67a22f99c9ca7682635e776d17de","score":"0.52325195","text":"public static void main(String[] args) throws Exception {\n\t\tif(args.length != 8) {\n\t\t\tSystem.out.println(args.length);\n\t\t\tthrow new IllegalArgumentException(\"Arguments expected- input output partition intersecting_partition merge_output epsilon minPnts dataset\"\n\t\t\t\t\t);\n\t\t}\n\t\tConfiguration conf = new Configuration();\n\t\tDistributedCache.addCacheFile(new Path(args[2]).toUri(), conf);\n\t\tconf.set(\"epsilon\",args[5]);\n\t\tconf.set(\"minPnts\",args[6]);\n\t\tconf.set(\"dataset\", args[7]);\n\t\t//int partitionCount=getPartititionCount(args[2], conf);\n\t\tint partitionCount=1599;\n\t\tJob job = Job.getInstance(conf, \"Partition\");\n\t\tjob.setJarByClass(driver.PartitionCountDriver.class);\n\t\t// TODO: specify a mapper\n\t\tjob.setMapperClass(PartitionCount.class);\n\t\t// TODO: specify a reducer\n\t\tjob.setReducerClass(Cluster.class);\n\t\t// TODO: specify output types\n\t\tjob.setMapOutputKeyClass(LongWritable.class);\n\t\tjob.setMapOutputValueClass(Text.class);\n\t\tjob.setOutputKeyClass(Text.class);\n\t\tjob.setOutputValueClass(Text.class);\n\t\t//set the Multiple outputs\n\t\tfor(int i=0;i<partitionCount;i++) {\n\t\t\tMultipleOutputs.addNamedOutput(job, \"output\"+i, TextOutputFormat.class, Text.class, Text.class);\n\t\t\tMultipleOutputs.addNamedOutput(job, \"AP\"+i, TextOutputFormat.class, Text.class, Text.class);\n\t\t\tMultipleOutputs.addNamedOutput(job, \"BP\"+i, TextOutputFormat.class, Text.class, Text.class);\n\t\t}\n\t\t// TODO: specify input and output DIRECTORIES (not files)\n\t\tFileInputFormat.setInputPaths(job, new Path(args[0]));\n\t\tFileOutputFormat.setOutputPath(job, new Path(args[1]));\n\n\t\tif (job.waitForCompletion(true)) {\n\t\t\tConfiguration conf2 = new Configuration();\n\t\t\t//FileSystem fs = FileSystem.get(conf2);\n\t\t\t//addOutput(fs,new Path(args[1]) , conf2);\n\t\t\tconf2.set(\"outputPath\", args[1]);\n\t\t\tJob job2 = Job.getInstance(conf2, \"Merging\");\n\t\t\tjob2.setJarByClass(driver.PartitionCountDriver.class);\n\t\t\t// TODO: specify a mapper\n\t\t\tjob2.setMapperClass(MergeMapper.class);\n\t\t\t// TODO: specify a reducer\n\t\t\tjob2.setReducerClass(Merge.class);\n\t\t\t// TODO: specify output types\n\t\t\tjob2.setMapOutputKeyClass(NullWritable.class);\n\t\t\tjob2.setMapOutputValueClass(Text.class);\n\t\t\tjob2.setOutputKeyClass(Text.class);\n\t\t\tjob2.setOutputValueClass(Text.class);\n\t\t\tjob2.setOutputFormatClass(TextOutputFormat.class);\n\t\t\t\n\t\t\t// TODO: specify input and output DIRECTORIES (not files)\n\t\t\tFileInputFormat.setInputPaths(job2, new Path(args[3]));\n\t\t\tFileOutputFormat.setOutputPath(job2, new Path(args[4]));\n\t\t\tif (!job2.waitForCompletion(true)) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t\t\n\t\t}\n\t\t\n\t\t\n\n\t\t\n\t}","title":""},{"docid":"ab1bb6e363013897c2e04b1181c3541c","score":"0.5211745","text":"int getJobsCount();","title":""},{"docid":"499738e386b06d9208f84757cd081551","score":"0.5210612","text":"public int getNodesGenerated();","title":""},{"docid":"a88c16c80ba706bfc51e891cee1fa93d","score":"0.52090645","text":"public static void main(String[] args) throws IOException \n\t{\n\t\t\n\t\tReader.init(System.in); \n\t\tint N=Reader.nextInt();\n\t\tint d=Reader.nextInt();\n\t\t\n\t\tint[][] adjmatrix=new int[N+1][N+1];\n\t\tint[] visited=new int[N+1];\n\t\t//int vis=0;\n\t\tfor(int i=0;i<d;i++)\n\t\t{\n\t\t\t int r=Reader.nextInt();\n\t\t\t int c=Reader.nextInt();\n\t\t\t\tadjmatrix[r][c]=1;\n\t\t\t visited[r]=1;visited[c]=1;\n\t\t\t // flagged all the visited nodes.\n\t\t\t\t\n\t\t\t\n\t\t}\n\t\tnode[] vertices=new node[N+1];\n\t\tint[] indegree=new int[N+1];\n\t\tint[] indeg=new int[N+1];\n\t\tfor(int i=1;i<N+1;i++)\n\t\t{\n\t\t\tfor(int j=1;j<N+1;j++)\n\t\t\t{\n\t\t\t\t\n\t\t\t\tif(adjmatrix[j][i]==1)\n\t\t\t\t{\n\t\t\t\t\tindegree[i]++;\n\t\t\t\t\tindeg[i]++;\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t}\n\tint count=0;\t\n\tfor(int i=1;i<N+1;i++){\n\t\tif(visited[i]!=0)\n\t\t{\n\t\t\tcount=count+1;\n\t\tvertices[i]=new node(i);\n\t\tSystem.out.println(vertices[i].data);\n\t\t}\n\t\t\n\t}\n\t\n\tTasks obj=new Tasks(N,adjmatrix,indegree,vertices,visited,count);\n\tint cycle=obj.TopoSort();\n\t//System.out.println(cycle);\n\tif(cycle==0){\n\t\tfor(int i=1;i<N+1;i++)\n\t\t{\n\t\t\t//System.out.print(indeg[i]+\" \");\n\t\t\tif(indeg[i]==0 && visited[i]!=0)\n\t\t\tSystem.out.print(i+\" \");\n\t\t}\n\t\t\n\t}\n\telse{\n\t\tSystem.out.println(cycle);\n\t}\n\t\n\t\t\n\t\t\n }","title":""},{"docid":"2c4f0a56271e235efc40ee86ad9430ed","score":"0.52055913","text":"public static void main(String[] args) throws InterruptedException { \n //Use topology matrix to set the network topology. \n //Use 1 if the node is the master and -1 if it is the slave\n double [][] adjacencyMatrix = { { 0, 1, 0, 0, -1},\n {-1, 0, 1, 0, 0},\n {0, -1, 0, 1, 0},\n {0, 0, -1, 0, 1},\n {1, 0, 0, -1, 0}\n }; \n \n double [] initNodeValues = {9,9,9,9,9}; //specify the initial value of the nodes \n double epsilon = 0.25; //specify the value of epsilon \n double epsilon2 = 0.001; //set epsilon value for deltaP in ICC\n //using same values as paper\n //double [] alpha = {561, 310,78,561,78};\n double [] beta = {7.92, 7.85,7.8,7.92,7.8}; //set beta value for ICC\n double [] gamma = {0.001562,0.00194,0.00482,0.001562,0.00482}; //set gamma value for ICC\n \n //check if the network topology contains rings or multiple slave connections\n if (checkTopology(adjacencyMatrix, rootNode)){ \n \n //initialize some of the matrices that will be used in \n // the distributed Algorithm class\n distAlgo.initialize(numNodes);\n \n // create a perron matrix based on the adjacency matrix \n // and the epsilon value\n distAlgo.createWeightMatrix(adjacencyMatrix, epsilon);\n \n //initialize the nodes\n initNodes(adjacencyMatrix, rootNode, initNodeValues); \n \n //synchronize the network\n \n //boolean networkStatus = NOT_OK;\n debugMessage(\"BEFORE SYNC\",1000);\n if (isRootNode){\n while(!commChannels[0].connected){\n delay(200);\n }\n }\n \n debugMessage(\"START SYNC\",3000); \n clock.synchronizeNetwork(); \n \n //start a thread for each active channel\n for (int i=0;i<NUMCHANNELS;i++){\n if (activeNeighbor[i]){\n if (i == 0 && isRootNode){\n delay(50);\n }else{\n commChannels[i].start();\n delay(50);\n }\n debugMessage(\"Ch\" + i + \" started\",0,3,1000); \n }\n } \n //perform average consensus\n distAlgo.LFICC(epsilon2, beta, gamma); \n \n boolean commStatus = true; \n //wait for all connections to stop communicating\n while(commStatus){\n commStatus = isCommunicating(); \n delay(5); \n } \n //save and close\n saveAndClose();\n }\n debugMessage(\"Exiting\"); \n }","title":""},{"docid":"d72082be026341b1656b932f315ed958","score":"0.5196054","text":"private int maxComputationalTime() {\n int sum = 0;\n for(GraphNode task : _taskInfo.values()) {\n sum += task.getWeight();\n }\n return sum / _numProcTask;\n }","title":""},{"docid":"830d150348bb0d257fa1c4a5c90c676d","score":"0.5193804","text":"public int getNbNodes()\n\t{\n\t\treturn stats.getNbNodes();\n\t}","title":""},{"docid":"2d294abe11e1530e27c7a9ef9e161968","score":"0.518897","text":"int getNumPartitions();","title":""},{"docid":"2d294abe11e1530e27c7a9ef9e161968","score":"0.518897","text":"int getNumPartitions();","title":""},{"docid":"b45e0f22b173126d8a9f45c256a3ade7","score":"0.5183687","text":"public static int totalJobCost() {\n\t\tint sum = 0;\n\t\tfor (int nums : costArray) {\n\t\t\tsum += nums;\n\t\t}\n\t\treturn sum;\n\t}","title":""},{"docid":"91e5a5edc44ecfc1cd0b5f1b02859959","score":"0.51786846","text":"private double runPR(BunchGraph g1, BunchGraph g2)\r\n/* 29: */ {\r\n/* 30:383 */ double result = 0.0D;\r\n/* 31:384 */ this.combinationsConsidered = 0L;\r\n/* 32:385 */ this.matchingCombinations = 0L;\r\n/* 33: */ \r\n/* 34:387 */ Iterator clusterList = g1.getClusters().iterator();\r\n/* 35:388 */ while (clusterList.hasNext())\r\n/* 36: */ {\r\n/* 37:390 */ BunchCluster bc = (BunchCluster)clusterList.next();\r\n/* 38:391 */ processCluster(bc, g2);\r\n/* 39: */ }\r\n/* 40:394 */ result = this.matchingCombinations / this.combinationsConsidered;\r\n/* 41: */ \r\n/* 42:396 */ return result;\r\n/* 43: */ }","title":""},{"docid":"fe5523908cd43b842495a390931135ec","score":"0.5172151","text":"private double calcNodeEntropy(ArrayList<Data> data2) {\n\t\treturn 0;\n\t}","title":""},{"docid":"aa40c5db370c76296c960dc1a0c492bd","score":"0.5172133","text":"public int run( String[] args) throws Exception {\n\t\t\t\tJob InvIn = Job.getInstance(getConf(), \"invertedindex\");\n\t\t\t\tInvIn.setJarByClass(this.getClass());\n\t\t\t\tFileInputFormat.addInputPaths(InvIn, args[0]);\n\t\t\t\tFileOutputFormat.setOutputPath(InvIn, new Path(\"InvertedIndexOutput\"));\n\t\t\t\tInvIn.setMapperClass(InvertedIndexMap.class);\n\t\t\t\tInvIn.setReducerClass(InvertedIndexReduce.class);\n\t\t\t\tInvIn.setOutputKeyClass(Text.class);\n\t\t\t\tInvIn.setOutputValueClass(Text.class);\n\t\t\t\tInvIn.waitForCompletion(true);\n\t\t\t\t\n\t\t\n\t\t// count_n is the job to calculate the value of N\n\t\tFileSystem fs = FileSystem.get(getConf());\n\t\tJob count_n = Job.getInstance(getConf(), \"valueofn\");\n\t\tcount_n.setJarByClass( this.getClass());\n\t\tFileInputFormat.addInputPaths(count_n, args[0]);\n\t\tFileOutputFormat.setOutputPath(count_n, new Path(\"Node\"));\n\t\tcount_n.setMapperClass( MapCount.class);\n\t\tcount_n.setReducerClass( ReduceCount.class);\n\t\tcount_n.setMapOutputValueClass(IntWritable.class);\n\t\tcount_n.setOutputKeyClass( Text.class);\n\t\tcount_n.setOutputValueClass(IntWritable.class);\n\t\tcount_n.waitForCompletion(true);\n\t\tfs.delete(new Path(\"Node\"), true);\n\t\t\n\t\t// N value is calculated\n\t\tlong value_n;\n\t\tvalue_n = count_n.getCounters().findCounter(\"Outputn\", \"Outputn\").getValue();\n\t\t\n\t\t// job_parse is the job for parsing the file \n\t\tJob job_parse = Job.getInstance(getConf(), \"Parsing\");\n\t\tjob_parse.setJarByClass(this.getClass());\n\t\tjob_parse.getConfiguration().setStrings(\"VALUE_OF_N\", value_n + \"\");\n\t\tjob_parse.setMapperClass(FirstParseMap.class);\n\t\tjob_parse.setReducerClass(FirstParseReduce.class);\n\t\tjob_parse.setInputFormatClass(TextInputFormat.class);\n\t\tjob_parse.setOutputFormatClass(TextOutputFormat.class);\n\t\tjob_parse.setOutputKeyClass(Text.class);\n\t\tjob_parse.setOutputValueClass(Text.class);\n\t\t\n\t\tFileInputFormat.setInputPaths(job_parse, new Path(args[0]));\n\t\tFileOutputFormat.setOutputPath(job_parse, new Path(args[1]+\"Job0\"));\n\t\t\n\t\t\n\t\tjob_parse.waitForCompletion(true);\n\t\t\n\n\t\t// job_pagerank is the job for calculating pagerank iteratively\n\t\tint i = 0;\n\t\tfor(i=0 ; i < 10 ; i++) {\n\t\t\t\n\t\t\tJob job_pagerank = Job.getInstance(getConf(), \"PageRank\");\n\t\t\tjob_pagerank.setJarByClass(this.getClass());\n\t\t\tjob_pagerank.setMapperClass(PageRankMap.class);\n\t\t\tjob_pagerank.setReducerClass(PageRankReduce.class);\n\t\t\tjob_pagerank.setOutputKeyClass(Text.class);\n\t\t\tjob_pagerank.setOutputValueClass(Text.class);\n\t\t\tjob_pagerank.setInputFormatClass(TextInputFormat.class);\n\t\t\tjob_pagerank.setOutputFormatClass(TextOutputFormat.class);\n\t\t\t\n\t\t\tFileInputFormat.setInputPaths(job_pagerank, args[1]+\"Job\"+i);\n\t\t\tFileOutputFormat.setOutputPath(job_pagerank, new Path(args[1]+\"Job\"+(i + 1)));\n\t\t\tjob_pagerank.waitForCompletion(true);\n\t\t\t\n\t\t\t//deleting intermediate files\n\t\t\tFileSystem fs1 = FileSystem.get(getConf());\n\t\t\tfs1.delete(new Path(args[1]+\"Job\"+i), true); \n\t\t\t\n\t\t\t\n\t\t}\n\n\t\t// job_cleanup is the job for cleanup and sorting\n\t\tJob job_cleanup = Job.getInstance(getConf(), \"CleanAndSort\");\n\t\tjob_cleanup.setJarByClass(this.getClass());\n\t\tjob_cleanup.setMapperClass(CleanSortMap.class);\n\t\tjob_cleanup.setReducerClass(CleanSortReduce.class);\n\t\tjob_cleanup.setNumReduceTasks(1);//to set the reducer to 1\n\t\tjob_cleanup.setMapOutputValueClass(Text.class);\n\t\tjob_cleanup.setMapOutputKeyClass(DoubleWritable.class);\n\t\tjob_cleanup.setOutputKeyClass(Text.class);\n\t\tjob_cleanup.setOutputValueClass(Text.class);\n\t\tjob_cleanup.setInputFormatClass(TextInputFormat.class);\n\t\tjob_cleanup.setOutputFormatClass(TextOutputFormat.class);\n\t\t\n\t\tjob_cleanup.setSortComparatorClass(DoubleComparator.class);//Define the comparator that controls how the keys are sorted before they are passed to the Reducer.\n\t\t\n\t\tFileInputFormat.setInputPaths(job_cleanup, args[1]+ \"Job\"+ i);\n\t\tFileOutputFormat.setOutputPath(job_cleanup, new Path(\"Final_Output\")); //creates Final_Output\n\t\t\n\t\t\n\t\treturn job_cleanup.waitForCompletion(true) ? 0 : 1;\n\n\n\t}","title":""},{"docid":"c36d578bacd77e2f1837184540e443ee","score":"0.5154597","text":"int getNodesCount();","title":""},{"docid":"a9390a2622e823c96f08c291a2aa9df1","score":"0.51495755","text":"public List<Integer> taskDistribution() {\n List<Integer> counter = new ArrayList<>();\n counter.add(0);\n counter.add(0);\n counter.add(0);\n for (Task task: this.list) {\n if (task instanceof ToDo) {\n counter.set(0, counter.get(0) + 1);\n } else if (task instanceof Deadline) {\n counter.set(1, counter.get(1) + 1);\n } else if (task instanceof Event) {\n counter.set(2, counter.get(2) + 1);\n }\n }\n return counter;\n }","title":""},{"docid":"9f0451e265455aa1673e525833be525e","score":"0.5133391","text":"public int numNodes();","title":""},{"docid":"426ce1c4b696293aea7e5516b985791f","score":"0.5130735","text":"public int run(final String[] args) throws Exception {\n if (args.length != 11) {\n return printUsage();\n }\n int i;\n\n edge_path = new Path(args[0]);\n curbm_path = new Path(args[1]);\n tempbm_path = new Path(args[2]);\n nextbm_path = new Path(args[3]);\n output_path = new Path(args[4]);\n curbm_unfold_path = new Path(\"concmpt_curbm\");\n summaryout_path = new Path(\"concmpt_summaryout\");\n number_nodes = Long.parseLong(args[5]);\n nreducers = Integer.parseInt(args[6]);\n\n if (args[7].compareTo(\"fast\") == 0)\n recursive_diagmult = 1;\n else\n recursive_diagmult = 0;\n\n block_width = Integer.parseInt(args[8]);\n\n max_convergence = Integer.parseInt(args[9]);\n if (max_convergence < 0)\n max_convergence = 0;\n max_iters = Integer.parseInt(args[10]);\n if (max_iters < 0 || max_iters > MAX_ITERATIONS)\n max_iters = MAX_ITERATIONS;\n\n System.out.println(\"\\n-----===[PEGASUS: A Peta-Scale Graph Mining System]===-----\\n\");\n System.out.println(\"[PEGASUS] Computing connected component using block method. Reducers = \" + nreducers + \", block_width = \" + block_width);\n\n local_output_path = args[4] + \"_temp\";\n\n // Iteratively calculate neighborhood function.\n for (i = cur_radius; i < MAX_ITERATIONS; i++) {\n cur_radius++;\n iter_counter++;\n\n JobClient.runJob(configStage1());\n JobClient.runJob(configStage2());\n JobClient.runJob(configStage3());\n\n FileUtil.fullyDelete(FileSystem.getLocal(getConf()), new Path(local_output_path));\n\n final FileSystem fs = FileSystem.get(getConf());\n\n // copy neighborhood information from HDFS to local disk, and read it!\n String new_path = local_output_path + \"/\" + i;\n fs.copyToLocalFile(output_path, new Path(new_path));\n ResultInfo ri = ConCmpt.readIterationOutput(new_path);\n\n changed_nodes[iter_counter] = ri.changed;\n unchanged_nodes[iter_counter] = ri.unchanged;\n\n System.out.println(\"Hop \" + i + \" : changed = \" + ri.changed + \", unchanged = \" + ri.unchanged);\n\n // Stop when the minimum neighborhood doesn't change\n if (ri.changed <= max_convergence || i >= max_iters) {\n System.out.printf(\"Converging with %d active vertices (%d max for convergence) after %d iterations (%d max).\\n\", ri.changed, max_convergence, i, max_iters);\n System.out.println(\"Finishing...\");\n fs.delete(curbm_path);\n fs.delete(tempbm_path);\n fs.delete(output_path);\n fs.rename(nextbm_path, curbm_path);\n\n System.out.println(\"Unfolding the block structure for easy lookup...\");\n JobClient.runJob(configStage4());\n\n break;\n }\n\n // rotate directory\n fs.delete(curbm_path);\n fs.delete(tempbm_path);\n fs.delete(output_path);\n fs.rename(nextbm_path, curbm_path);\n }\n\n FileUtil.fullyDelete(FileSystem.getLocal(getConf()), new Path(local_output_path));\n\n // calculate summary information using an additional pass\n System.out.println(\"Summarizing connected components information...\");\n JobClient.runJob(configStage5());\n\n // finishing.\n System.out.println(\"\\n[PEGASUS] Connected component computed.\");\n System.out.println(\"[PEGASUS] Total Iteration = \" + iter_counter);\n System.out.println(\"[PEGASUS] Connected component information is saved in the HDFS concmpt_curbm as\\n\\\"node_id\t'msf'component_id\\\" format\");\n System.out.println(\"[PEGASUS] Connected component distribution is saved in the HDFS concmpt_summaryout as\\n\\\"component_id\tnumber_of_nodes\\\" format.\\n\");\n\n BufferedWriter writer = null;\n try {\n writer = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(\"num_iters\"), \"utf-8\"));\n writer.write(Integer.toString(iter_counter));\n writer.newLine();\n } catch (IOException e) {\n System.err.println(\"[PEGASUS] Failed to write number of iterations to localfile\");\n } finally {\n try {\n writer.close();\n } catch (Exception e) {}\n\t}\n\n return 0;\n }","title":""},{"docid":"23fa24c449ce500275a13ea2acfc9be8","score":"0.5120114","text":"private int getNumWorkersGatheringMinerals() {\n int numWorkers = 0;\n for (Unit unit : self.getUnits()) {\n if (unit.isGatheringMinerals()) {\n numWorkers++;\n }\n }\n return numWorkers;\n }","title":""},{"docid":"f56e7fe4c4e9b671ba73f2d67878b26d","score":"0.5115521","text":"public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {\n\n Configuration conf = new Configuration();\n\n Path input = new Path(\"hdfs://localhost:9000/user/venkat/chain/word2.txt\");\n\n Path output = new Path(\"hdfs://localhost:9000/user/venkat/chain/output\");\n\n Job job = new Job(conf, \"first Job\");\n\n job.setJarByClass(WordCountDriver.class);\n\n ChainMapper.addMapper(job,\n WordCountMapper.class,\n LongWritable.class,\n Text.class,\n Text.class,\n IntWritable.class,\n conf\n );\n\n ChainMapper.addMapper(job,\n WordCountMapper2.class,\n Text.class,\n IntWritable.class,\n Text.class,\n IntWritable.class,\n conf\n );\n\n ChainReducer.setReducer(job,\n WordCountReducer.class,\n Text.class,\n IntWritable.class,\n Text.class,\n IntWritable.class,\n conf\n );\n\n FileInputFormat.addInputPath(job,input);\n FileOutputFormat.setOutputPath(job, new Path(output +\"_job1\"));\n\n output.getFileSystem(job.getConfiguration()).delete(new Path(output+\"_job1\"), true);\n\n if(!job.waitForCompletion(true) ){\n System.out.println(\"Error completing first job \");\n System.exit(1);\n }\n\n //Second Job\n\n Configuration conf2 = new Configuration();\n Job job2 = new Job(conf2, \"Chain job2\");\n job2.setJarByClass(WordCountDriver.class);\n\n job2.setMapperClass(Job2Mapper.class);\n job2.setReducerClass(Job2Reducer.class);\n\n job2.setOutputKeyClass(Text.class);\n job2.setOutputValueClass(IntWritable.class);\n\n /* Set input path: Read from from first one's output path*/\n\n FileInputFormat.addInputPath(job2, new Path(output +\"_job1/part-r-00000\"));\n FileOutputFormat.setOutputPath(job2, output);\n output.getFileSystem(job2.getConfiguration()).delete(output,true);\n\n job2.waitForCompletion(true);\n\n }","title":""},{"docid":"c06602b25363bf026f3d635dbd0fc714","score":"0.51091224","text":"public double getWork(){\n\t\treturn 0;\n\t}","title":""},{"docid":"769f282ed7b166b8ac08f493b20f0ff6","score":"0.5084229","text":"private double messageDistribution( Node node, LabelledDataTable table,\n\t\t\t\t\t\t\t\t\t\tDataTable.Record datum)\n\t{\n\t\tdouble probOfDatum = 0.0;\n\n\t\tVariable var = node.getVar();\n\t\tFunction1V[] msgChildren = node.getMsgArrayChildren();\n\n\t\t// combine all incoming messages and the potential associated\n\t\t// with this node-clique\n\t\tFunction1V combineMsgChildren =\t node.getCombinedMsgChildren();\n\n\t\tif ( !node.hasParent() ) // if node is the root\n\t\t{\n\t\t\t// obsorb evidence\n\t\t\tFunction1V prior = node.getPriorProb();\n\t\t\tFunction1V evidence =\n\t\t\t\t\t\tFunction1V.characteristic( node.getVar(),\n\t\t\t\t\t\t\t\t\ttable.classLabelOfRecord( datum ));\n\t\t\tprior.multiply( evidence );\n\n\t\t\tprior.multiply( combineMsgChildren);\n\t\t\tprobOfDatum = node.getPriorProb().getTotal();\n\t\t}\n\t\telse\n\t\t{\n\t\t\tnode.getCondProb().multiply( combineMsgChildren);\n\t\t\tnode.getCondProb().multiply( node.getMsgParent() );\n\t\t}\n\n\t\t// send message to children cliques. The message is a function\n\t\t// of node.getVar()!!!\n\t\tif ( node.hasChildren() )\n\t\t{\n\t\t\tNode.List children = node.getChildren();\n\t\t\tint n = children.size();\n\t\t\tfor (int i=0; i<n; i++)\n\t\t\t{\n\t\t\t\tNode child = children.getNode( i );\n\n\t\t\t\t// the root clique is a special clique.\n\t\t\t\t// sending messages to its children cliques does\n\t\t\t\t// not require marginalization\n\t\t\t\tif ( !node.hasParent() )\n\t\t\t\t{\n\t\t\t\t\t// message to child[i] = combined message /\n\t\t\t\t\t// \t\t\t\t\tmsg from child[i]\n\t\t\t\t\tFunction1V msg2Child = node.getPriorProb().copy();\n\n\t\t\t\t\tmsg2Child.divide( msgChildren[i] );\n\n\t\t\t\t\tchild.setMsgParent( msg2Child );\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t{\n\t\t\t\t\t// message to child[i] = \\sum_node combined message /\n\t\t\t\t\t// \t\t\t\t\tmsg from child[i]\n\t\t\t\t\tFunction1V msg2Child = node.getCondProb().marginalizeOut(\n\t\t\t\t\t\t\t\t\t\t\t\t node.getParent().getVar() );\n\n\t\t\t\t\tmsg2Child.divide( msgChildren[i] );\n\n\n\t\t\t\t\tchild.setMsgParent( msg2Child );\n\t\t\t\t}\n\n\t\t\t\t// recursive call\n\t\t\t\tmessageDistribution( child, table, datum );\n\t\t\t}\n\t\t}\n\n\t\treturn probOfDatum;\n\n\t}","title":""},{"docid":"6304488f233c97d6074c8792e2f79321","score":"0.50802493","text":"public int getDegreeInFriendship(Consumer consumer) {\n ArrayList<Consumer> visited = new ArrayList<>();\n Queue<Consumer> queue = new LinkedList<>();\n //Dictionar care retine gradul de prietenie cu toti prietenii consumer-ului curent\n // [Consumer = grad]\n HashMap<Consumer, Integer> degrees = new HashMap<>();\n visited.add(this);\n queue.add(this);\n degrees.put(this, 0);\n while (queue.size() != 0) {\n Consumer current = queue.poll();\n for (Consumer c : current.cunoscuti) {\n if (!visited.contains(c)) {\n visited.add(c);\n queue.add(c);\n degrees.put(c, degrees.get(current) + 1);\n }\n }\n }\n //Daca dictionarul de grade contine consumer-ul dat ca paramteru\n //atunci returnez valoarea lui din dictionar\n if (degrees.containsKey(consumer))\n return degrees.get(consumer);\n else\n return 0;\n }","title":""},{"docid":"87ae0dae1663943adb9f5997e1828b0d","score":"0.5078999","text":"private void computeNodeOfGateCone() {\n\t\tfor (String gateDetail : detailedGates) {\n\t\t\tString gate = gateDetail.split(\" \", 2)[1].split(\"\\\\(\", 2)[0].trim();\n\t\t\tList<String> faninNodes = new ArrayList<String>();\n\t\t\tif (faninGatesOfGate.keySet().contains(gate)) {\n\t\t\t\tfor (String faninGate : faninGatesOfGate.get(gate)) {\n\t\t\t\t\tfor (String faninPort : inNodeOfGate.get(faninGate)) {\n\t\t\t\t\t\tif (!faninNodes.contains(faninPort)) {\n\t\t\t\t\t\t\tfaninNodes.add(faninPort);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tfaninNodes = inNodeOfGate.get(gate);\n\t\t\t}\n\t\t\tfaninNodeOfGate.put(gate, faninNodes);\n\t\t}\n\t\tfor (String gateDetail : detailedGates) {\n\t\t\tString gate = gateDetail.split(\" \", 2)[1].split(\"\\\\(\", 2)[0].trim();\n\t\t\tList<String> fanoutNodes = new ArrayList<String>();\n\t\t\tif (fanoutGatesOfGate.keySet().contains(gate)) {\n\t\t\t\tfor (String fanoutGate : fanoutGatesOfGate.get(gate)) {\n\t\t\t\t\tfor (String fanoutPort : outNodeOfGate.get(fanoutGate)) {\n\t\t\t\t\t\tif (!fanoutNodes.contains(fanoutPort)) {\n\t\t\t\t\t\t\tfanoutNodes.add(fanoutPort);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tfanoutNodes = outNodeOfGate.get(gate);\n\t\t\t}\n\t\t\tfanoutNodeOfGate.put(gate, fanoutNodes);\n\t\t}\n\t\t/* Part D ends */\n\t\t\n\t\tif (debug) {\n\t\t\tSystem.out.println(\"Part D successfully done.\");\n\t\t}\n\t\t\n\t\t\n\n\t\tfor (String output : outputPorts) {\n\t\t\tArrayList<String> lastStepGate = new ArrayList<String>();\n\t\t\tfor (String line : detailedGates) {\n\t\t\t\tif (line.contains(output)){\n\t\t\t\t\tlastStepGate.add(line.trim().split(\" \",2)[1].split(\"\\\\(\",2)[0].trim());\n\t\t\t\t}\n\t\t\t}\n\t\t\tArrayList<String> tempo = new ArrayList<String>();\n\t\t\tfor (String lastGate : lastStepGate) {\n\t\t\t\tfor (String gate : faninGatesOfGate.get(lastGate)) {\n\t\t\t\t\tif (!tempo.contains(gate)){\n\t\t\t\t\t\ttempo.add(gate);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tfaninGatesOfOutPorts.put(output, tempo);\n\t\t}\n\t}","title":""},{"docid":"b00179895c0c4e4062d176457b9048ee","score":"0.5074472","text":"@Override\r\n\tpublic NNResult compute() {\n\t\t\r\n\t\tdouble distanceBestSoFar = Double.POSITIVE_INFINITY;\r\n\t\tint bestSoFarTid = -1;\r\n\t\tNNResult result;\r\n\t\t\r\n\t\t\r\n\t\tdouble maxMovedistance = (this.interval/1000) * (this.n - 1) * maxSpeed;\r\n\t\t\r\n\t\tHashMap<Integer, Double> seekedGrid;\r\n\t\tArrayList<Integer> waitingList;\r\n\t\t\r\n\t\t\r\n\t\tint xGrid = (int)((x - this.xcentroid)/this.xlength);\r\n\t\tint yGrid = (int)((y - this.ycentroid)/this.ylength);\r\n\t\t\r\n\t\t\r\n\t\tfor (int i = this.sf; i < this.ef; i++){\r\n\t\t\t\r\n\t\t\tif(!dfl.containIframeByFID(i)){\r\n\t\t\t\tcontinue;\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\tseekedGrid = new HashMap<Integer, Double>();\r\n\t\t\twaitingList = new ArrayList<Integer>();\r\n\t\t\t\r\n\t\t\tint startGrid = this.buildIndexCode(xGrid, yGrid);\r\n\t\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\twaitingList.add(startGrid);\r\n\t\t\tseekedGrid.put(startGrid, 0.0);\r\n\t\t\t\r\n\t\t\t\r\n\t\t\twhile(!waitingList.isEmpty()){\r\n\t\t\t\t\r\n\t\t\t\tint searchGrid = waitingList.remove(0);\r\n\t\t\t\tArrayList<Integer> iframePointIndex = this.gindex.getPointArray(i, searchGrid);\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t//search\r\n\t\t\t\tif (iframePointIndex != null){\r\n\t\t\t\t\tArrayList<IFramePoint> fpl = dfl.getIFrameByFID(i).getPoints();\r\n\t\t\t\t\t\r\n\t\t\t\t\tfor (int findex : iframePointIndex){\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\tIFramePoint fp = fpl.get(findex);\r\n\t\t\t\t\t\tdouble distance = commonMethods.Distance.getDistance(x, y, fp.getX(), fp.getY());\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\tif (distance < distanceBestSoFar){\r\n\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\tint pSlot = (i - 1)*(this.n - 1);\r\n\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\tdistanceBestSoFar = distance;\r\n\t\t\t\t\t\t\tbestSoFarTid = fp.getTid();\r\n\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\tfor (int j = 1; j < this.n; j++){\r\n\t\t\t\t\t\t\t\tint shiftingCode = dfl.getPFrameByPID(pSlot + j).getPointByPID(findex);\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\tshort dx = (short) (shiftingCode >> 16);\r\n\t\t\t\t\t\t\t\tshort dy = (short) (shiftingCode & 0xFFFF);\t\t\t\t\t\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\tif (dx == Short.MAX_VALUE && dy == Short.MIN_VALUE){\r\n\t\t\t\t\t\t\t\t\tcontinue;\r\n\t\t\t\t\t\t\t\t}\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\tdouble px = fp.getX() + ((double)(dx)/1000000);\r\n\t\t\t\t\t\t\t\tdouble py = fp.getY() + ((double)(dy)/1000000);\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\tdouble pDistance = commonMethods.Distance.getDistance(x, y, px, py);\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\tif (pDistance < distanceBestSoFar){\r\n\t\t\t\t\t\t\t\t\tdistanceBestSoFar = pDistance;\r\n\t\t\t\t\t\t\t\t\tbestSoFarTid = fp.getTid();\r\n\t\t\t\t\t\t\t\t}\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t}\t\t\r\n\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t}else if ((distance + maxMovedistance)< distanceBestSoFar){\r\n\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\tint pSlot = (i - 1)*(this.n - 1);\r\n\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\tfor (int j = 1; j < this.n; j++){\r\n\t\t\t\t\t\t\t\tint shiftingCode = dfl.getPFrameByPID(pSlot + j).getPointByPID(findex);\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\tshort dx = (short) (shiftingCode >> 16);\r\n\t\t\t\t\t\t\t\tshort dy = (short) (shiftingCode & 0xFFFF);\t\t\t\t\t\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\tif (dx == Short.MAX_VALUE && dy == Short.MIN_VALUE){\r\n\t\t\t\t\t\t\t\t\tcontinue;\r\n\t\t\t\t\t\t\t\t}\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\tdouble px = fp.getX() + ((double)(dx)/1000000);\r\n\t\t\t\t\t\t\t\tdouble py = fp.getY() + ((double)(dy)/1000000);\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\tdouble pDistance = commonMethods.Distance.getDistance(x, y, px, py);\r\n\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\tif (pDistance < distanceBestSoFar){\r\n\t\t\t\t\t\t\t\t\tdistanceBestSoFar = pDistance;\r\n\t\t\t\t\t\t\t\t\tbestSoFarTid = fp.getTid();\r\n\t\t\t\t\t\t\t\t}\r\n\t\t\t\t\t\t\t}\r\n\t\t\t\t\t\t}else{\r\n\t\t\t\t\t\t\t//continue;\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t//put other grid/s into waiting list, if it better than best so far\r\n\t\t\t\t\r\n\t\t\t\tint searchx = searchGrid >> 16;\r\n\t\t\t\tint searchy = searchGrid & 0xFFFF;\r\n\t\t\t\t\r\n\t\t\t\tdouble searchGridXBottomLeft = this.xcentroid + searchx*this.xlength;\r\n\t\t\t\tdouble searchGridYBottomLeft = this.ycentroid + searchy*this.ylength;\r\n\t\t\t\t\r\n\t\t\t\tdouble searchGridXTopLeft = searchGridXBottomLeft;\r\n\t\t\t\tdouble searchGridYTopLeft = this.ycentroid + (searchy + 1)*this.ylength;\r\n\t\t\t\t\r\n\t\t\t\tdouble searchGridXTopRight = this.xcentroid + (searchx + 1)*this.xlength;\r\n\t\t\t\tdouble searchGridYTopRight = this.ycentroid + (searchy + 1)*this.ylength;\r\n\t\t\t\t\r\n\t\t\t\tdouble searchGridXBottomRight = this.xcentroid + (searchx + 1)*this.xlength;;\r\n\t\t\t\tdouble searchGridYBottomRight = searchGridYBottomLeft;\r\n\t\t\t\t\r\n\t\t\t\tdouble d1 = commonMethods.Distance.getDistance(x, y, searchGridXBottomLeft, searchGridYBottomLeft);\r\n\t\t\t\tdouble d3 = commonMethods.Distance.getDistance(x, y, searchGridXTopLeft, searchGridYTopLeft);\r\n\t\t\t\tdouble d5 = commonMethods.Distance.getDistance(x, y, searchGridXTopRight, searchGridYTopRight);\r\n\t\t\t\tdouble d7 = commonMethods.Distance.getDistance(x, y, searchGridXBottomRight, searchGridYBottomRight);\r\n\t\t\t\t\r\n\t\t\t\tdouble d2 = commonMethods.Distance.calculateLineDistance(x, y, searchGridXBottomLeft, searchGridYBottomLeft, searchGridXTopLeft, searchGridYTopLeft);\r\n\t\t\t\tdouble d4 = commonMethods.Distance.calculateLineDistance(x, y, searchGridXTopLeft, searchGridYTopLeft, searchGridXTopRight, searchGridYTopRight);\r\n\t\t\t\tdouble d6 = commonMethods.Distance.calculateLineDistance(x, y, searchGridXTopRight, searchGridYTopRight, searchGridXBottomRight, searchGridYBottomRight);\r\n\t\t\t\tdouble d8 = commonMethods.Distance.calculateLineDistance(x, y, searchGridXBottomRight, searchGridYBottomRight, searchGridXBottomLeft, searchGridYBottomLeft);\r\n\t\t\t\t\r\n\t\t\t\tint indexcode;\r\n\t\t\t\t\r\n\t\t\t\t//double bestDistance;\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t//System.out.println(\"best dis is \" + maxMovedistance);\r\n\t\t\t\tif (d1 - distanceBestSoFar <= maxMovedistance){\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx - 1, searchy - 1);\r\n\t\t\t\t\tif ((searchx - 1) >= 0 && (searchy - 1) >= 0){\r\n\t\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\t\twaitingList.add(indexcode);\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d1);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t}else{\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx - 1, searchy - 1);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d1);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\tif (d2 - distanceBestSoFar <= maxMovedistance){\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx - 1, searchy);\r\n\t\t\t\t\tif ((searchx - 1) >= 0 ){\r\n\t\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\t\twaitingList.add(indexcode);\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d2);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t}else{\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx - 1, searchy);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d2);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\tif (d3 - distanceBestSoFar <= maxMovedistance){\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx - 1, searchy + 1);\r\n\t\t\t\t\tif ((searchx - 1) >= 0 ){\r\n\t\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\t\twaitingList.add(indexcode);\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d3);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t}else{\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx - 1, searchy + 1);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d3);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\tif (d4 - distanceBestSoFar <= maxMovedistance){\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx, searchy + 1);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\twaitingList.add(indexcode);\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d4);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t}else{\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx , searchy + 1);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d4);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\tif (d5 - distanceBestSoFar <= maxMovedistance){\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx + 1, searchy + 1);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\twaitingList.add(indexcode);\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d5);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t}else{\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx + 1 , searchy + 1);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d5);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\tif (d6 - distanceBestSoFar <= maxMovedistance){\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx + 1, searchy);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\twaitingList.add(indexcode);\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d6);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t}else{\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx + 1 , searchy);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d6);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\tif (d7 - distanceBestSoFar <= maxMovedistance){\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx + 1, searchy - 1);\r\n\t\t\t\t\tif ((searchy - 1) >= 0 ){\r\n\t\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\t\twaitingList.add(indexcode);\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d7);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t}else{\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx + 1, searchy - 1);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d7);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\tif (d8 - distanceBestSoFar <= maxMovedistance){\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx, searchy - 1);\r\n\t\t\t\t\tif ((searchy - 1) >= 0 ){\r\n\t\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\t\twaitingList.add(indexcode);\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d8);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t}else{\r\n\t\t\t\t\tindexcode = this.buildIndexCode(searchx, searchy - 1);\r\n\t\t\t\t\tif (!seekedGrid.containsKey(indexcode)){\r\n\t\t\t\t\t\tseekedGrid.put(indexcode, d8);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\t\r\n\t\t}\r\n\t\t\r\n\t\tresult = new NNResult(distanceBestSoFar, bestSoFarTid);\r\n\t\t\r\n\t\t//System.out.println(\"tid is \" + bestSoFarTid);\r\n\t\t//System.out.println(\"distance is \" + distanceBestSoFar);\r\n\t\t//return this.selectOneRecordByTID(0);\r\n\t\treturn result;\r\n\t}","title":""},{"docid":"145b76aed5431e2422cdd038c7b7df00","score":"0.50701034","text":"private void caculationPerform() {\n\t\tgetSelectedNodes(); \r\n\t\tfindSub = new FindSubGraph(chosenN, network);\r\n\t\tEdgesManage edgeMng = new EdgesManage(findSub);\r\n\t\tKMAlgorithm opt = new KMAlgorithm(findSub);\r\n\t\tlong optassig = opt.km();\r\n\t\t//exam the matching result\r\n\t\tfor(int i = 0; i < opt.yN.length; ++i){\r\n\t\t\tint startNode = i+1;//findSub.nameMapSubNet.get(i+1);\r\n\t\t\tint endNode = opt.yN[i]+1;//findSub.nameMapSubNet.get(opt.yN[i]+1);\r\n\t\t\tif(!(findSub.edgesSub.containsKey(startNode) && findSub.edgesSub.get(startNode).contains(endNode))){\r\n\t\t\t\tSteeringNode.add(findSub.nameMapSubNet.get(endNode)); \t\t\t\t\r\n\t\t\t}\r\n\t\t}\r\n\t\tCalculation getResult = new Calculation(opt);\r\n//\t\tint sourceCircleNum = getResult.findSouceCircle();\t\r\n\t\tint sourceCircleNum = getResult.findT();\r\n\t\tfor(Node nodeI : nodes){\r\n\t\t\tif(SteeringNode.contains(network.nodeKeyMap.get(nodeI))){ \r\n\t\t\t\tnodeI.setSST(true);\r\n\t\t\t\tcyNetwork.getRow(nodeI.getN()).set(\"SteeringNodesForStateTransition\", true);\r\n\t\t\t}else{\r\n\t\t\t\tnodeI.setSST(false);\r\n\t\t\t\tcyNetwork.getRow(nodeI.getN()).set(\"SteeringNodesForStateTransition\", false); \r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\tint r = (int) (optassig / 100000);\r\n\t\tint s= (int) (optassig % 10000);\r\n\t\tint gdcs = r + s;\r\n\t\tint numSteeringNode = s +sourceCircleNum;\r\n\r\n\t\r\n\r\n\t\t\r\n\t}","title":""},{"docid":"e809e5d7db5982447ad1d1a0d0e61839","score":"0.50646454","text":"private int explore(Double[] datapoint, double[][] clusterCenters, Double[] pheromones){\n int maximizingCluster = 0;\n double currentMaximumProb = -1;\n for(int clusterProbsIter = 0 ; clusterProbsIter < clusterCenters.length; clusterProbsIter++){\n double denom = 0;\n for(int clusterIter = 0; clusterIter < pheromones.length; clusterIter++){\n denom += (pheromones[clusterIter] * Math.pow(this.distanceFromCluster(datapoint, clusterCenters[clusterProbsIter]), this.relativeWeight));\n }\n double clusterProb = (pheromones[clusterProbsIter] * Math.pow(this.distanceFromCluster(datapoint, clusterCenters[clusterProbsIter]), this.relativeWeight)) / denom;\n if(clusterProb > currentMaximumProb){\n currentMaximumProb = clusterProb;\n maximizingCluster = clusterProbsIter;\n }\n }\n return maximizingCluster;\n }","title":""},{"docid":"90f37d0f258aca5a92980abb09e5ca0c","score":"0.50609833","text":"void doCountProbabilitiesForInternal(NodeData node, NodeData u1, NodeData u2, Double [] coalescenceRate, boolean dprint)throws Exception {\n//\t\tint n1 = u1.m_n;\n//\t\tint n2 = u2.m_n;\n\t\tint n1 = u1.getSize();\n\t\tint n2 = u2.getSize();\n\t\tint n = n1+n2;\n\t\tnode.resize(n);\n\n\n\t\tdouble g1 = coalescenceRate[u1.getNr()];//u1.gamma();\n\t\tdouble g2 = coalescenceRate[u2.getNr()];//u2.gamma();\n\t\tdouble t1 = u1.t();\n\t\tdouble t2 = u2.t();\n\n\n//\t\tu1.m_Nt = computeTavareProbs(g1*t1, u1.m_Nb);\n//\t\tu2.m_Nt = computeTavareProbs(g2*t2, u2.m_Nb);\n\n//\t\tif( dprint ) {\n//\t\t\tdouble sum = 0.0;\n//\t\t\tSystem.out.println(\"g1,t1 \" + g1 + \" \" + t1 + \" g2,t2 \" + g2 + \" \" + t2);\n//\t\t\tsum = 0.0;\tfor (int i = 0; i < u1.m_Nb.length; i++) {sum += u1.m_Nb[i];}\n//\t\t\tSystem.out.println(u1.getNr() + \" u1.Nb \" + u1.m_Nb.length + \" sum=\"+sum + \" \" + Arrays.toString(u1.m_Nb)); \n//\t\t\tsum = 0.0;\tfor (int i = 0; i < u1.m_Nt.length; i++) {sum += u1.m_Nt[i];}\n//\t\t\tSystem.out.println(u1.getNr() + \" u1.Nt \" + u1.m_Nt.length + \" sum=\"+sum + \" \" + Arrays.toString(u1.m_Nt));\n//\t\t\tsum = 0.0;\tfor (int i = 0; i < u2.m_Nb.length; i++) {sum += u2.m_Nb[i];}\n//\t\t\tSystem.out.println(u2.getNr() + \" u2.Nb \" + u2.m_Nb.length + \" sum=\"+sum + \" \" + Arrays.toString(u2.m_Nb));\n//\t\t\tsum = 0.0;\tfor (int i = 0; i < u2.m_Nt.length; i++) {sum += u2.m_Nt[i];}\n//\t\t\tSystem.out.println(u2.getNr() + \" u2.Nt \" + u2.m_Nt.length + \" sum=\"+sum + \" \" + Arrays.toString(u2.m_Nt)); \n//\t\t}\n\n\t\t//std::fill(Nb.begin(), Nb.end(), 0.0);\n\t\t//node.Nb = new double[n1+n2+1];\n//\t\tfor(int i1 = 1;i1<=n1;i1++) {\n//\t\t\tfor(int i2 = 1;i2<=n2;i2++) {\n//\t\t\t\tnode.m_Nb[i1+i2] += u1.m_Nt[i1]*u2.m_Nt[i2];\n//\t\t\t}\n//\t\t}\n//\t\tif( dprint ) {\n//\t\t\tdouble sum = 0.0;for (int i = 0; i < node.m_Nb.length; i++) {sum += node.m_Nb[i];}\n//\t\t\tSystem.out.println(node.getNr() + \" node.Nb \" + node.m_Nb.length + \" sum=\"+sum + \" \" + Arrays.toString(node.m_Nb));\n//\t\t}\n\t}","title":""},{"docid":"b2f47dbb124b8685aaac4f0391fb0b9c","score":"0.5049986","text":"public void run() {\n\t\tPopulation population = new Population(population_size);\r\n\r\n\t\t// Determine fitness for each child in population\r\n\t\tfor (int i = 0; i < population_size; i++) {\r\n\t\t\tIndividual child = population.getIndividual(i);\r\n\t\t\tdouble fitness = (double) evaluation_.evaluate(child.genome);\r\n\r\n\t\t\tchild.setFitness(fitness);\r\n\t\t\tevals++;\r\n\t\t}\r\n\r\n\t\t// Sort algorithm that sorts the children on fitness from min to max.\r\n\t\tpopulation.sort(population_size);\r\n\r\n\r\n\t\tCluster clusters = new Cluster(num_of_clusters);\r\n\t\tif (use_k_means){\r\n\t\t\tclusters.cluster_convergence(population);\r\n\t\t}\r\n\r\n\t\t// Cluster cluster = new Cluster(num_of_clusters);\r\n\r\n\r\n\t\t// // Initialize random individuals that function as the initial cluster means\r\n\t\t// double clusters[][] = create_population(num_of_clusters);\r\n\t\t// cluster_count_array = new int[num_of_clusters];\r\n\t\t// for (int i = 0; i < num_of_clusters; i++){\r\n\t\t// \tcluster_count_array[i] = 0;\r\n\t\t// }\r\n\t\t//\r\n\t\t// if (use_k_means){\r\n\t\t//\r\n\t\t// \t\t\t// Arange population to clusters\r\n\t\t// \t\t\tint max_cluster_iterations = 10;\r\n\t\t// \t\t\tint iterations_counter = 0;\r\n\t\t// \t\t\tint correction_counter;\r\n\t\t// \t\t\tdo {\r\n\t\t// \t\t\t\titerations_counter++;\r\n\t\t// \t\t\t\t// Create copy of clusters\r\n\t\t// \t\t\t\tdouble[][] clusters_clone = new double[num_of_clusters][10];\r\n\t\t// \t\t\t\tfor (int i = 0; i < num_of_clusters; i++){\r\n\t\t// \t\t\t\t\tclusters_clone[i] = Arrays.copyOf(clusters[i],clusters[i].length);\r\n\t\t// \t\t\t\t}\r\n\t\t// \t\t\t\t// Arange all individuals of population to a certain cluster\r\n\t\t// \t\t\t\tsurvival_chances = arange_children_to_clusters(population, survival_chances, clusters);\r\n\t\t// \t\t\t\t// Rearange clusters by recalculating the mean\r\n\t\t// \t\t\t\tclusters = rearrange_clusters(population, survival_chances, clusters);\r\n\t\t//\r\n\t\t//\r\n\t\t// \t\t\t\tSystem.out.println(Arrays.toString(clusters[0]));\r\n\t\t// \t\t\t\tSystem.out.println(Arrays.toString(clusters_clone[0]));\r\n\t\t// \t\t\t\tSystem.out.println(\"\\n\");\r\n\t\t//\r\n\t\t// \t\t\t\tcorrection_counter = 0;\r\n\t\t// \t\t\t\tfor (int i = 0; i < num_of_clusters; i++){\r\n\t\t// \t\t\t\t\tif (Arrays.equals(clusters_clone[i],clusters[i])){\r\n\t\t// \t\t\t\t\t\tcorrection_counter++;\r\n\t\t// \t\t\t\t\t}\r\n\t\t// \t\t\t\t}\r\n\t\t// \t\t\t} while (iterations_counter < max_cluster_iterations || correction_counter != num_of_clusters);\r\n\t\t// \t\t}\r\n\r\n\t\twhile (evals < evaluations_limit_) {\r\n\r\n\t\t\tIndividual old_best_person = population.getIndividual(population_size - 1);\r\n\r\n\t\t\t// Select who are going to be parents.\r\n\t\t\tPopulation parents = population.tournament_selection(amount_parents, population_size, tournament_size, clusters);\r\n\r\n\t\t\t// Guarantee that the best individual reproduces\r\n\t\t\t// parents[parents.length-1] = sorted_survival_chances[sorted_survival_chances.length-1];\r\n\t\t\tSystem.out.println(parents.pop_size);\r\n\t\t\tparents.getIndividual(0).getCluster();\r\n\t\t\tif (use_k_means) {\r\n\t\t\t\tif (mutate_big) {\r\n\t\t\t\t\tRandom random = new Random();\r\n\t\t\t\t\tint r = random.nextInt(num_of_clusters-1)+1;\r\n\t\t\t\t\tSystem.out.println(\"randomised\");\r\n\t\t\t\t\tSystem.out.println(r);\r\n\t\t\t\t\tint parents_counter = 0;\r\n\t\t\t\t\tfor (int i = 0; i < population.pop_size; i++) {\r\n\t\t\t\t\t\tif(population.getIndividual(i).getCluster() == r){\r\n\t\t\t\t\t\t\tSystem.out.println(parents.pop_size);\r\n\t\t\t\t\t\t\tparents.setIndividual(parents_counter, population.getIndividual(i));\r\n\t\t\t\t\t\t\tparents_counter++;\r\n\t\t\t\t\t\t\tif(parents_counter > parents.pop_size){\r\n\t\t\t\t\t\t\t\tparents_counter = 0;\r\n\t\t\t\t\t\t\t}\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\t// Increase cluster counts with a punishment to speed up the neighbourhood exploration proces.\r\n\t\t\t\t\tclusters.cluster_count_array[r] = clusters.cluster_count_array[r] + 2*parents.pop_size;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\r\n\r\n\t\t\tPopulation new_children = new Population(amount_parents);\r\n\r\n\t\t\tif (multiple_parents) {\r\n\t\t\t\tnew_children = create_children_from_multiple_parents(parents, amount_parents);\r\n\t\t\t} else {\r\n\t\t\t\tnew_children = create_n_children(parents, amount_parents);\r\n\t\t\t}\r\n\r\n\t\t\tif (mutate_big) {\r\n\t\t\t\tdouble chance = get_random_double(0, 1);\r\n\t\t\t\tif (chance < 0.5) {\r\n\t\t\t\t\tnew_children = inversion_mutation(new_children);\r\n\t\t\t\t} else {\r\n\t\t\t\t\tnew_children = insertion_mutation(new_children);\r\n\t\t\t\t}\r\n\t\t\t} else {\r\n\t\t\t\tnew_children = small_mutation(new_children, num_of_mutations);\r\n\t\t\t}\r\n\t\t\tpopulation.replace_worst(new_children, multiple_parents, amount_parents);\r\n\t\t\t// population = survivor_selection(sorted_survival_chances, population, new_children);\r\n\r\n\t\t\t// Score new_children\r\n\t\t\tfor (int i = 0; i < amount_parents; i ++) {\r\n\t\t\t\tIndividual child = new_children.getIndividual(i);\r\n\t\t\t\tdouble fitness = (double) evaluation_.evaluate(child.genome);\r\n\t\t\t\tchild.setFitness(fitness);\r\n\t\t\t\tevals++;\r\n\t\t\t}\r\n\r\n\t\t\t// Sort population\r\n\t\t\tpopulation.sort(population_size);\r\n\r\n\t\t\tIndividual new_best_person = population.getIndividual(population_size - 1);\r\n\r\n\t\t\t// If there's no new best score for \"num_of_unchanged_best\", perform bigger mutations on the children\r\n\t\t\tif (new_best_person == old_best_person) {\r\n\t\t\t\tnum_of_unchanged_best ++;\r\n\t\t\t\tif (num_of_unchanged_best == max_of_unchanged_best){\r\n\t\t\t\t\tmutate_big = true;\r\n\t\t\t\t}\r\n\t\t\t} else {\r\n\t\t\t\tnum_of_unchanged_best = 0;\r\n\t\t\t\tmutate_big = false;\r\n\t\t\t}\r\n\r\n\t\t\t// Run for python plot code\r\n\t\t\tprint_average_score(population, population_size);\r\n\t\t}\r\n\r\n\t\t// System.out.println(\"SWAG\");\r\n\t\t// int least_used_cluster_index = 0;\r\n\t\t// System.out.println(cluster_count_array[0]);\r\n\t\t// for(int i = 1; i < num_of_clusters; i++) {\r\n\t\t// \tSystem.out.println(cluster_count_array[i]);\r\n\t\t// \tif (cluster_count_array[i] < cluster_count_array[least_used_cluster_index]) {\r\n\t\t// \t\tleast_used_cluster_index = i;\r\n\t\t// \t}\r\n\t\t// }\r\n\t\t// System.out.println(least_used_cluster_index);\r\n\t\t// // survival_chances = arange_children_to_clusters(population, survival_chances, clusters);\r\n\t\t// // for (int i = 0; i < survival_chances.length; i++) {\r\n\t\t// // \tSystem.out.println(Arrays.toString(sorted_survival_chances[i]));\r\n\t\t// // clusters = rearrange_clusters(population, survival_chances, clusters);\r\n\t\t//\r\n\t\t// // for (int i = 0; i < clusters.length; i++) {\r\n\t\t// // \tSystem.out.print(i);\r\n\t\t// // \tSystem.out.println(Arrays.toString(clusters[i]));\r\n\t\t// for (int c2 = 0; c2 < clusters.length; c2++){\r\n\t\t// \tfor (int c = 0; c < population.length; c++){\r\n\t\t// \t\tif ((int) sorted_survival_chances[c][2] == c2){\r\n\t\t// \t\t\tSystem.out.println(Arrays.toString(sorted_survival_chances[c]));\r\n\t\t// \t\t}\r\n\t\t// \t}\r\n\t\t// }\r\n\r\n\r\n\t}","title":""},{"docid":"5a7e7a487dfd53e54c773de95baf515d","score":"0.5033996","text":"public double getNetworkFitness(NeuralNetwork network);","title":""},{"docid":"0b4a91874a2924db6871e81202e6a9b0","score":"0.5004205","text":"int getJobResultsCount();","title":""},{"docid":"97708b6900b25e7caa8d51e3feff6099","score":"0.4997859","text":"int getNodeCount();","title":""},{"docid":"3e7430d8c6ab0ab53875ea930d445dbb","score":"0.49929222","text":"public double scoreLnGam(Node node, Set<Node> parents, BayesPm bayesPmMod,\n BayesIm bayesIm) {\n // System.out.println(\"In Cache scoreLnGam \");\n // System.out.print(\"Processing node \" + node.getName() + \" with parents \");\n\n // for (Iterator itp = parents.iterator(); itp.hasNext();) {\n // System.out.print(((Node) itp.next()).getName() + \" \");\n // }\n // System.out.println();\n\n //A factor of a model is determined by a node and its parents in that model.\n //The NodeParentsPair inner class provides a means to instantiate such\n //a pair so that it can be used as an argument to the Map scores.\n NodeParentsPair nodeAndParents = new NodeParentsPair(node, parents);\n double score;\n\n //If the score of this factor has already been computed and stored, retrieve it from the\n //Map scores.\n if (scores.containsKey(nodeAndParents)) {\n System.out.println(\n node + \" Score came from map--counts not computed.\");\n score = scores.get(nodeAndParents);\n\n return score;\n }\n else { //otherwise compute it and store it in the map.\n\n //String[] varNames = dataSet.getVariableNames();\n\n //Create arrays for storing observed counts and prior probabilities for\n //this factor. In observedCounts and priorProbs, for instance, there will be as\n //many rows as there are combinations of values of the parents and\n //as many columns as there are categories of the child variable.\n Node[] parentArray = new Node[parents.size()];\n for (int i = 0; i < parentArray.length; i++) {\n parentArray[i] = (Node) (parents.toArray()[i]);\n }\n\n /*\n int numRows = 1;\n for (int i = 0; i < parentArray.length; i++) {\n String name = parentArray[i].getName();\n\n int index = getVarIndex(name);\n //int numCats = ((DiscreteVariable) variables.get(index)).getNumSplits();\n int numCats = bayesPm.getNumSplits(parentArray[i]);\n numRows *= numCats;\n }\n */\n\n BayesIm bayesImMod = new MlBayesIm(bayesPmMod);\n int numRows = bayesImMod.getNumRows(bayesImMod.getNodeIndex(node));\n\n double[][] priorProbs;\n double[] priorProbsRowSum;\n\n observedCounts = new double[numRows][];\n priorProbs = new double[numRows][];\n\n //The following two arrays are used to store the sum of the counts and\n //prior probablities for each row.\n double[] observedCountsRowSum = new double[numRows];\n priorProbsRowSum = new double[numRows];\n\n //The int index will be the index of the variable associated with node\n //in dataset.\n// int index = getVarIndex(name);\n //System.out.println(\"NAME: \" + name);\n //int numCols = ((DiscreteVariable) variables.get(index)).getNumSplits();\n int numCols = bayesPm.getNumCategories(node);\n\n //Initialize the observed counts and prior probabilities arrays.\n for (int j = 0; j < numRows; j++) {\n\n observedCountsRowSum[j] = 0;\n priorProbsRowSum[j] = 0;\n\n observedCounts[j] = new double[numCols];\n priorProbs[j] = new double[numCols];\n }\n\n //At this point set values in observedCounts according to the cases in the dataset.\n if (bayesIm == null) {\n computeObservedCounts(node, parentArray);\n }\n else\n //computeObservedCountsMD(node, bayesPmMod, bayesIm);\n {\n computeObservedCountsMD(node, bayesPmMod, bayesIm);\n }\n\n //Set all priorProbs (i.e. estimated counts) to 1.0. Eventually they may be\n //supplied as a parameter of the constructor of this class.\n for (int j = 0; j < numRows; j++) {\n for (int k = 0; k < numCols; k++)\n //priorProbs[j][k] = 1.0;\n {\n priorProbs[j][k] = 1.0 /\n (numRows * numCols); //Per David Danks 12/21/04\n }\n }\n\n for (int j = 0; j < numRows; j++) {\n // System.out.print(\"Observed counts row \" + j);\n for (int k = 0; k < numCols; k++) {\n\n //DEBUG PRINT:\n // System.out.print(\" \" + observedCounts[j][k]);\n\n observedCountsRowSum[j] += observedCounts[j][k];\n priorProbsRowSum[j] += priorProbs[j][k];\n }\n // System.out.println();\n }\n\n //The loops below compute the products on page 25 of the Heckerman et al. paper.\n //Actually sums are computed since logarithms of the terms are used. That is\n //why the log gamma function (lngamma) is used.\n double sum = 0.0;\n\n// int n = nodes.length; //The number of factors (i.e. variables).\n\n for (int j = 0; j < numRows; j++) {\n\n try {\n double numerator = ProbUtils.lngamma(priorProbsRowSum[j]);\n double denom = ProbUtils.lngamma(\n priorProbsRowSum[j] + observedCountsRowSum[j]);\n\n //gammln is a slightly more accurate method than lngamma.\n //double numerator = ProbUtils.gammln(priorProbsRowSum[j]);\n //double denom =\n // ProbUtils.gammln(priorProbsRowSum[j] + observedCountsRowSum[j]);\n\n //System.out.println(\"num = \" + numerator + \" denom = \" + denom);\n sum += (numerator - denom);\n }\n catch (Exception e) {\n e.printStackTrace();\n }\n\n //double prodk = 1.0;\n double sumk = 0.0;\n for (int k = 0; k < numCols; k++) {\n try {\n sumk += ProbUtils.lngamma(\n priorProbs[j][k] + observedCounts[j][k]) -\n ProbUtils.lngamma(priorProbs[j][k]);\n\n /* Debug print\n if(Double.isNaN(sumk)) {\n System.out.println(\"sumk is Nan\");\n System.out.println(priorProbs[j][k] + \" \" + observedCounts[j][k]);\n }\n */\n\n //sumk += ProbUtils.gammln(priorProbs[j][k] + observedCounts[j][k]) -\n // ProbUtils.gammln(priorProbs[j][k]);\n }\n catch (Exception e) {\n e.printStackTrace();\n }\n }\n\n sum += sumk;\n }\n\n score = sum;\n\n }\n\n //Store the node and parents pair and the score in the scores Map.\n //Also return the score.\n Double scoreDouble = score;\n scores.put(nodeAndParents, scoreDouble);\n\n //System.out.println(\"For node \" + node.getName() + \" with parents \" + parents);\n //System.out.println(\"Score = \" + score);\n return score;\n }","title":""},{"docid":"35821a04d2942eab44a753db6cfc18d8","score":"0.49897847","text":"public void mStep() {\n // According to the assignment, we update the center of each cluster\n \tPoint2d[] sumPoints = new Point2d[centers.length];\n \tint[] nPoints = new int[centers.length];\n \t\n \tfor (int i = 0; i < sumPoints.length; i++) {\n\t\t\tsumPoints[i] = new Point2d(0, 0);\n\t\t}\n\n for (int i = 0; i < data.length; i++) {\n\t\t\tint k = assignments[i];\n\t\t\tPoint2d currentSum = sumPoints[k];\n\t\t\tPoint2d currentData = data[i];\n\t\t\tcurrentSum.set(\n\t\t\t\t\tcurrentSum.getX() + currentData.getX(),\n\t\t\t\t\tcurrentSum.getY() + currentData.getY());\n\t\t\t++nPoints[k];\n\t\t}\n \n // Divide each sum by the number of points\n for (int i = 0; i < sumPoints.length; i++) {\n\t\t\tsumPoints[i].set(\n\t\t\t\t\tsumPoints[i].getX() / nPoints[i], \n\t\t\t\t\tsumPoints[i].getY() / nPoints[i]);\n\t\t}\n \n centers = sumPoints;\n }","title":""},{"docid":"c739c6b4df35953eb57182373b22e30e","score":"0.4988323","text":"int componentSize() \n{\n return this.euler[0].count();\n}","title":""},{"docid":"3a9413fd990127677226d55970e4db92","score":"0.49832648","text":"int getDegree();","title":""},{"docid":"3a9413fd990127677226d55970e4db92","score":"0.49832648","text":"int getDegree();","title":""},{"docid":"3a9413fd990127677226d55970e4db92","score":"0.49832648","text":"int getDegree();","title":""},{"docid":"df32a4d3b754c63da6a0a7b67e80cb05","score":"0.49809134","text":"public static void main(String[] args)throws Exception {\n Scanner in = new Scanner(new File(\"/home/mao/workspace/java/src/BiShi/pinduoduo3\"));\n while (in.hasNext()) {\n int n = in.nextInt();\n int m = in.nextInt();\n Task[] t = new Task[n+1];\n for(int i = 1; i < n+1; ++i) {\n t[i] = new Task(i, in.nextInt());\n }\n\n// 建图\n Map<Integer, List<Integer>> graph = new HashMap<>();\n int[] indegree = new int[n+1];\n for(int i = 0; i < m; ++i) {\n int u = in.nextInt();\n int v = in.nextInt();\n if(graph.containsKey(u)) {\n graph.get(u).add(v);\n } else {\n List<Integer> edges = new ArrayList<>();\n edges.add(v);\n graph.put(u, edges);\n }\n indegree[v]++;\n }\n //按照权重排序\n PriorityQueue<Task> queue = new PriorityQueue<>(new Comparator<Task>() {\n public int compare(Task o1, Task o2) {\n return o1.weight-o2.weight;\n }\n });\n\n //加入度为0的节点，肯定有度为0的节点，否则就是环\n for(int i = 1; i < n+1; ++i) {\n if(indegree[i] == 0) queue.offer(t[i]);\n }\n\n List<Integer> res = new ArrayList<>();\n\n while(!queue.isEmpty()) {\n //出堆\n Task complete = queue.poll();\n //保存结果\n res.add(complete.seq);\n if(graph.containsKey(complete.seq)) {\n //修改度数\n for(int i : graph.get(complete.seq)){\n //度数为0，加入堆\n if(--indegree[i] == 0) {\n queue.offer(t[i]);\n }\n }\n }\n }\n\n for(int i = 0; i < n; ++i) {\n System.out.print(res.get(i));\n if(i != n-1) System.out.print(\" \");\n }\n }\n }","title":""},{"docid":"6b735566a835450b46566c0650189521","score":"0.49752256","text":"int getEgressCount();","title":""},{"docid":"e74f7775867f5f0f78cbe31e5499bdfc","score":"0.49745497","text":"@Override\n\tpublic void compute() {\n\n\t\tendTime = System.currentTimeMillis();\n\t\tSystem.out.println(\"Superstep num. \" + getSuperstep() + \" Time taken \" + (endTime-startTime)/1000 + \" seconds\");\n\t\t\n\t\tif(getSuperstep()==0) {\n\t\t\tEPS = FacilityLocationGiraphVertex.EPSILON.get(getConf());\n\t\t\tSystem.out.println(\"EPS \" + EPS);\n\t\t\talpha = computeAlpha();\n\t\t\tsetAggregatedValue(FacilityLocationGiraphVertex.PHASE, new BooleanWritable(true)); // set phase to true in the first superstep\n\t\t\t// System.out.println(\"PHASE \" + getAggregatedValue(FacilityLocationGiraphVertex.PHASE));\n\t\t\tsetAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA, new DoubleWritable(alpha)); // set initial value of alpha to ..\n\t\t\t// System.out.println(\"ALPHA \" + getAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA));\n\t\t}\n\t\t\n\t\telse if(getSuperstep()==1) { // in superstep 1, initialize the value of alpha\n\t\t\t// System.out.println(\"Came here superstep 1\");\n\t\t\tgamma = this.<DoubleWritable>getAggregatedValue(FacilityLocationGiraphVertex.MAX_AGG_GAMMA).get();\n\t\t\tnum_vertices = getTotalNumVertices();\n\t\t\tdouble m = num_vertices * num_vertices;\n\t\t\tSystem.out.println(\"EPS \" + EPS);\n\t\t\talpha = gamma/(Math.pow(m, 2) *(1+EPS));\n\t\t\t// System.out.println(\"num vertices \" + num_vertices + \" gamma \" + gamma + \" alpha \" + alpha);\n\t\t\tsetAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA, new DoubleWritable(alpha)); // increment alpha after every superstep -- ?\n\t\t}\n\t\t\n\t\telse {\n\t\t\t\t\t\t\n\t\t\t// double num_open_facilities = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.OPEN_FACILITIES).getSize();\n\t\t\t// double num_frozen_clients = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.FROZEN_CLIENTS).getSize();\n\t\t\tdouble num_halted = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.PHASE_SWITCH).getSize();\n\t\t\t\n\t\t\tSet<Double> set1 = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.OPEN_FACILITIES).get();\n\t\t\tSet<Double> set2 = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.FROZEN_CLIENTS).get();\n\t\t\tSet<Double> set3 = new HashSet<Double>(); // set3 contains the unique no. of frozen clients + open facilities\n\t\t\t\n\t\t\tset3.addAll(set1);\n\t\t\tset3.addAll(set2);\n\t\t\t\n\t\t\tdouble total = set3.size();\n\t\t\t\n\t\t\tif(total<num_vertices && num_halted==num_vertices) { // if not all vertices have been frozen or facilities_opened, and all vertices have halted switch phase.\n\t\t\t\t// System.out.println(\"In MASTER PHASE TRUE1\");\n\t\t\t\tsetAggregatedValue(FacilityLocationGiraphVertex.PHASE, new BooleanWritable(true));\n\t\t\t\tsetAggregatedValue(FacilityLocationGiraphVertex.PHASE_SWITCH, new MapWritable()); // empty the PHASE_SWITCH map.\n\t\t\t\talpha = this.<DoubleWritable>getAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA).get();\n\t\t\t\talpha = alpha * (1+EPS);\n\t\t\t\tsetAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA, new DoubleWritable(alpha)); // increment alpha after every superstep\n\t\t\t}\n\t\t\t\n\t\t\tboolean phase = this.<BooleanWritable>getAggregatedValue(FacilityLocationGiraphVertex.PHASE).get();\n\t\t\tdouble tmp = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.PHASE_SWITCH).getSize();\n\t\t\t// System.out.println(\"Superstep no. \" + getSuperstep() + \" alpha \" + alpha + \" phase \" + phase + \" num halted \" + tmp);\n\t\t\t\n\t\t\tif(phase) { // only increment alpha in the facility opening phase\n\t\t\t\t// System.out.println(\"In MASTER PHASE TRUE\");\n\t\t\t\talpha = this.<DoubleWritable>getAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA).get();\n\t\t\t\talpha = alpha * (1+EPS);\n\t\t\t\tsetAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA, new DoubleWritable(alpha)); // increment alpha after every superstep\n\t\t\t}\n\t\t\t\t\t\n\t\t\tphase = this.<BooleanWritable>getAggregatedValue(FacilityLocationGiraphVertex.PHASE).get();\n\n\t\t\t// System.out.println(\"HERE total \" + total + \" Num Vertices \" + num_vertices + \" phase \" + phase);\n\n\t\t\tif(total>=num_vertices) { // there is NOT at least one non-opened facility and at least one non-frozen\n\t\t\t\thaltComputation();\n\t\t\t}\n\t\t}\n\t}","title":""},{"docid":"41ef46901b84a48cb3183b6d9db726dd","score":"0.49729642","text":"public static float CommonLabelSubGraph_Sum_of_Nodes(HashMap allEdges, ArrayList<String> unexamined_Nodes){\r\nif (unexamined_Nodes.isEmpty()) return 0;\r\nArrayList<String> candidate_MCS= new ArrayList<>(); // An ArrayList that contais only the NODES of the Candidate MCS.\r\nArrayList<String> maxCommonSubgraph=new ArrayList<>(); // An ArrayList that contais only the NODES of the MCS.\r\n \r\n//System.out.println(\"The common Nodes are: \"+unexamined_Nodes); \r\n//System.out.println(\"The common Undirected Edges are: \"+allEdges);\r\n\r\nwhile(unexamined_Nodes.size()>0){ // A new candidate MCS will be constructed, if there are nodes that have not been examined. // All the Common Nodes, that are not examined, are iterated to initialize a new candidate MCS.\r\n String examing_the_Node =unexamined_Nodes.remove(0); // The 1st node from the set of the unexaminedNodes is assigned as examing_the_Node and removed from the unexamined_Nodes.\r\n candidate_MCS.add(examing_the_Node); // The 1st node that retrieved formerly node, will initialize the candidate_MCS.\r\n TreeSet<String> adjacent_nodesof_Examming_the_Node=(TreeSet<String>) allEdges.get(examing_the_Node); // adjacent_nodes is a set that includes --all the adjacent nodes of the current node--.\r\n for( String c : adjacent_nodesof_Examming_the_Node){ // The adjacent |Nodes| - c - of the 1st node are appended in the current MCS, if and only if they do not already exist in the currentSubgraph.\r\n if(!candidate_MCS.contains(c))\r\n candidate_MCS.add(c);}\r\n \r\n int pointer=1; // A pointer that indicate the Node of the |candidate MCS currentSubgraph| that will be examined.\r\n while(pointer<candidate_MCS.size()){ // maybe the \"=\" should be ommited.\r\n examing_the_Node=candidate_MCS.get(pointer); // The |currentNode| is a node that has not be examined yet.\r\n if(unexamined_Nodes.contains(examing_the_Node)) // The currentNode is removed from the set of allNodes so no to be examined again.\r\n unexamined_Nodes.remove(examing_the_Node);\r\n \r\n adjacent_nodesof_Examming_the_Node=(TreeSet<String>) allEdges.get(examing_the_Node); // All the adjacent nodes of the currentNode are retrieved\r\n for( String c : adjacent_nodesof_Examming_the_Node){ // The adjacent nodes of the current node that do not already exist in the current MCS will be added.\r\n if(!candidate_MCS.contains(c))\r\n candidate_MCS.add(c);}\r\n pointer++; //The next node of arraylist of the candidate MCS will be pointed by the counter pointer.\r\n } // The construction of the current MCS has been finished.\r\n\r\n //System.out.println(\"A common subgraph is: \"+candidate_MCS); // The candidate MCS is illustrated.\r\n if(maxCommonSubgraph.size()<candidate_MCS.size()){\r\n maxCommonSubgraph=new ArrayList<>(candidate_MCS);}\r\n candidate_MCS.clear(); \r\n}\r\n//System.out.println(\"The maximum common subgraph is: \"+maxCommonSubgraph); //Illustration of the MCS.\r\nreturn maxCommonSubgraph.size();\r\n}","title":""},{"docid":"3cc863acf3c22b5681fbde1a730532a3","score":"0.49597847","text":"public int run(String[] args) throws Exception\n\t\t\t{\n\t\t\t\t JobConf conf = new JobConf(getConf(), Driver.class);\n\t\t\t\t JobConf conf2 =new JobConf(getConf(),Driver.class);\n\t\t\t\t conf.setJobName(\"Assignment\"); \n\t\t\t\t conf2.setJobName(\"Assignemnt2\");\n\t\t\t\t \n\t\t\t\t //Setting configuration object with the Data Type of output Key and Value \n\t\t\t\t conf.setOutputKeyClass(LongWritable.class); \n\t\t\t\t conf.setOutputValueClass(Text.class);\n\t\t\t\t conf2.setOutputKeyClass(Text.class);\n\t\t\t\t conf2.setOutputValueClass(IntWritable.class);\n\t\t\t\t //Providing the mapper and reducer class names \n\t\t\t\t conf.setJarByClass(Driver.class); \n\t\t\t\t conf.setMapperClass(FirstMapper.class); \n\t\t\t\t conf.setReducerClass(FirstReducer.class); \n\t\t\t\t conf2.setMapperClass(SecondMapper.class);\n\t\t\t\t conf2.setReducerClass(SecondReducer.class);\n\t\t\t\t conf.setPartitionerClass(AgePartitioner.class);\n\t\t\t\t conf.setNumReduceTasks(3);\t\t\t\t\t\t\t//set the number of reducers to three.\n\t\t\t\t conf2.setJarByClass(Driver.class);\n\t\t\t\t \n\t\t\t\t //the hdfs input and output directory to be fetched from the command line \n\t\t\t\t FileInputFormat.addInputPath(conf, new Path(args[0])); \n\t\t\t\t FileOutputFormat.setOutputPath(conf, new Path(args[1])); \n\t\t\t\t FileInputFormat.addInputPath(conf2, new Path(args[1]));\n\t\t\t\t FileOutputFormat.setOutputPath(conf2,new Path(args[2]));\n\t\t\t\t JobClient.runJob(conf); \n\t\t\t\t JobClient.runJob(conf2);\n\t\t\t\t return 0; \n}","title":""},{"docid":"b0b774dc139699e25c711f5beaa30bd2","score":"0.49576557","text":"private int SumUpJob(int index, String prMatrix)\n throws ClassNotFoundException, IOException, InterruptedException {\n\n Configuration conf = new Configuration();\n conf.addResource(\"reference.xml\");\n\n // Read the output of first MapReduce job, for example: /Output0, /Output1 ...\n if (conf.get(\"firstMROutput\") != null) {\n // 自定义 property: the directory of multiplication result\n subPRMatrix = conf.get(\"firstMROutput\") + index;\n } else {\n subPRMatrix = subPRMatrix + index;\n }\n\n Job job = Job.getInstance(conf);\n job.setJarByClass(CellSum.class);\n\n ChainMapper.addMapper(job, CellSum.PassMapper.class,\n Object.class, Text.class, Text.class, DoubleWritable.class, conf);\n\n // Second Mapper's input value should match first Mapper's output value\n ChainMapper.addMapper(job, CellSum.PRBetaMapper.class,\n Text.class, DoubleWritable.class, Text.class, DoubleWritable.class, conf);\n\n job.setReducerClass(CellSum.SumReducer.class);\n job.setOutputKeyClass(Text.class);\n job.setOutputValueClass(DoubleWritable.class);\n\n /* Read input file from, for example /output0 */\n MultipleInputs.addInputPath(job, new Path(subPRMatrix), TextInputFormat.class, CellSum.PassMapper.class);\n /* Read PR matrix, beta * PR , for example for /pagerank0 */\n MultipleInputs.addInputPath(job, new Path(prMatrix + index), TextInputFormat.class, CellSum.PRBetaMapper.class);\n\n /* produce a new PR matrix file for next iteration. for example: /pagerank1*/\n FileOutputFormat.setOutputPath(job, new Path(prMatrix + (index + 1)));\n\n return job.waitForCompletion(true) ? 0 : 1;\n }","title":""},{"docid":"da4f52621cfd866d8919231407c2d128","score":"0.495485","text":"public long getNbJob() {\n return nbJob;\n }","title":""},{"docid":"f494534637ecd57fe4f5a26fd120c54d","score":"0.49518558","text":"public int greedy2() {\r\n\t\tLinkedList<Edge> list = new LinkedList<Edge>();\r\n\t\tfor (int i = 0; i < matrix.length; i++) {\r\n\t\t\tfor (int j = 0; j < matrix.length - 1; j++) {\r\n\t\t\t\tlist.add(new Edge(i, j, matrix[i][j]));\r\n\t\t\t}\r\n\t\t}\r\n\t\tCollections.sort(list);\r\n\r\n\t\tComponent finalResult = new Component(nNodes);\r\n\t\tfinalResult.mergeComponents(list.get(0).sourceNode, list.get(0).targetNode);\r\n\t\tint counter = 2;\r\n\t\tsol[0] = list.get(0).sourceNode;\r\n\t\tsol[1] = list.get(0).targetNode;\r\n\r\n\t\tfor (int i = 1; i < list.size(); i++) {\r\n\t\t\tif (list.get(i).targetNode != list.get(i).sourceNode) { // We don't consider edges from one to itself\t\t\t\t\t\t\r\n\t\t\t\tif (list.get(i).sourceNode == finalResult.getComponent(list.get(i).sourceNode)) {\r\n\t\t\t\t\tif (list.get(i).targetNode == finalResult.getComponent(list.get(i).targetNode)) { // The target node\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// is not in a\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// component\r\n\t\t\t\t\t\tif (list.get(i).sourceNode == sol[0]) {\r\n\t\t\t\t\t\t\tsol[sol.length - 2] = list.get(i).targetNode;\r\n\t\t\t\t\t\t} else if (list.get(i).targetNode == sol[0]){\r\n\t\t\t\t\t\t\tsol[sol.length - 2] = list.get(i).sourceNode;\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t\telse {\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\tsol[counter++] = list.get(i).targetNode;\r\n\t\t\t\t\t\t}\r\n\r\n\t\t\t\t\t\tfinalResult.mergeComponents(list.get(i).sourceNode, list.get(i).targetNode);\r\n\r\n\t\t\t\t\t} else { // The target node is in a component\r\n\t\t\t\t\t\tfinalResult.mergeComponents(list.get(i).sourceNode,\r\n\t\t\t\t\t\t\t\tfinalResult.getComponent(list.get(i).targetNode));\r\n\t\t\t\t\t\tsol[counter++] = list.get(i).sourceNode;\r\n\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tif (finalResult.onlyOneConnectedComponent()) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\t\tint finalCost = 0;\r\n\t\tfor (int j = 0; j < sol.length - 1; j++) {\r\n\t\t\tfinalCost += matrix[sol[j]][sol[j + 1]];\r\n\t\t}\r\n\t\treturn finalCost;\r\n\r\n\t}","title":""},{"docid":"41fa1ec4859883cf32133f997fed8840","score":"0.49489185","text":"private static InstanceNode[] max_dpa(int numNodes, int degree, int maxValue, int maxDegree, int minDistance, int communicationRadius) {\r\n\t\tdouble r = Math.sqrt((degree * Math.pow((maxValue*2), 2))/((numNodes-1)*Math.PI)) + 15;\t\t\r\n\r\n\t\tInstanceNode[] nodes = new InstanceNode[0];\r\n\r\n\t\t//\t\twhile (!connected) {\r\n\t\tint x = (int) ((Math.random() * (maxValue*2)) - maxValue);\r\n\t\tint y = (int) ((Math.random() * (maxValue*2)) - maxValue);\r\n\r\n\t\tArrayList<InstanceNode> set = new ArrayList<InstanceNode>();\r\n\r\n\t\tInstanceNode p1 = new InstanceNode();\r\n\t\tp1.node = 1;\r\n\t\tp1.x_coord = x;\r\n\t\tp1.y_coord = y;\r\n\t\tp1.battery = 0; //Temporarily use to record degree\r\n\t\tp1.demand = 1;\r\n\r\n\t\tset.add(p1);\r\n\r\n\t\tfor (int k = 2; k<=numNodes+1; k++) {\r\n\t\t\tboolean placed = false;\r\n\r\n\t\t\twhile (!placed) {\r\n\t\t\t\tx = (int) ((Math.random() * (maxValue*2)) - maxValue);\r\n\t\t\t\ty = (int) ((Math.random() * (maxValue*2)) - maxValue);\r\n\r\n\t\t\t\tInstanceNode newNode = new InstanceNode();\r\n\t\t\t\tnewNode.node = k;\r\n\t\t\t\tnewNode.x_coord = x;\r\n\t\t\t\tnewNode.y_coord = y;\r\n\t\t\t\tnewNode.demand = 1;\r\n\t\t\t\tnewNode.battery = 0;\r\n\r\n\t\t\t\tArrayList<Integer> degreeUp = new ArrayList<Integer>();\r\n\r\n\t\t\t\tboolean proximityTest = false;\r\n\t\t\t\tboolean degreeTest = true;\r\n\t\t\t\tfor (int i = 0; i< set.size(); i++) {\r\n\t\t\t\t\tif (newNode.getDistance(set.get(i)) <= r && newNode.getDistance(set.get(i)) > minDistance) {\r\n\t\t\t\t\t\tproximityTest = true;\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (newNode.getDistance(set.get(i)) <= communicationRadius && set.get(i).battery < maxDegree) {\r\n\t\t\t\t\t\tif (set.get(i).battery < maxDegree) {\r\n\t\t\t\t\t\t\tdegreeUp.add(i);\r\n\t\t\t\t\t\t} else {\r\n\t\t\t\t\t\t\tdegreeTest = false;\r\n\t\t\t\t\t\t\tbreak;\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t} \r\n\t\t\t\t}\r\n\r\n\t\t\t\tplaced = proximityTest && degreeTest;\r\n\r\n\t\t\t\tif (placed) {\r\n\t\t\t\t\tfor(int i = 0; i < degreeUp.size(); i++) {\r\n\t\t\t\t\t\tset.get(degreeUp.get(i)).battery++;\r\n\t\t\t\t\t}\r\n\r\n\t\t\t\t\tnewNode.battery = degreeUp.size();\r\n\t\t\t\t\tset.add(newNode);\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\tnodes = set.toArray(new InstanceNode[0]);\r\n\t\t//\t\t\tconnected = true;\r\n\t\t//\t\t\t//Other stuff in the original algorithm goes here. Seeing how this performs without the check at the end\r\n\t\t//\t\t}\r\n\r\n\t\tfor (int i = 0; i < nodes.length; i++) {\r\n\t\t\tnodes[i].battery = (int) Math.floor(((Math.random()*100 + 1)));\r\n\t\t}\r\n\r\n\t\treturn nodes;\r\n\t}","title":""},{"docid":"ad4fba9dcd195244a62eb535067e2546","score":"0.49300724","text":"public static void main(String[] args)throws IOException{\n BufferedReader br = new BufferedReader(new InputStreamReader(System.in));\n int days = Integer.parseInt(br.readLine());\n int clusterNumber = Integer.parseInt(br.readLine());\n int clusterDetails[][] = new int[clusterNumber][4];\n long totalRequirement=0;\n for(int i=0;i<clusterNumber;i++){\n String s1[] = br.readLine().trim().split(\" \");\n //System.out.println(s1);\n clusterDetails[i][0]= i+1;\n clusterDetails[i][1]=Integer.parseInt(s1[1]);\n //System.out.print(clusterDetails[i][1]+\" \");\n clusterDetails[i][2]=Integer.parseInt(s1[2]);\n //System.out.print(clusterDetails[i][2]+\" \");\n clusterDetails[i][3]=clusterDetails[i][2];\n //System.out.print(clusterDetails[i][2]+ \" \");\n totalRequirement+=clusterDetails[i][2];\n\n }\n// for(int i=0;i<clusterNumber;i++) {\n// System.out.print(Arrays.toString(clusterDetails[i]));\n// }\n int connectionNumber = Integer.parseInt(br.readLine());\n //System.out.print(\"number \"+connectionNumber);\n String connectionDetails[]=new String[connectionNumber];\n for(int i=0;i<connectionNumber;i++){\n connectionDetails[i] =\"\";\n String s1[]= br.readLine().trim().split(\"_\");\n //System.out.println(Arrays.toString( s1));\n for(int j=0;j<s1.length;j++){\n if(s1[j].equals(\"F\")){\n connectionDetails[i]+=\"0\";\n connectionDetails[i]+=\" \";\n }\n else{\n String[] s2 = s1[j].split(\"C\");\n// System.out.print(\"carr \");\n// System.out.println(Arrays.toString((s2)));\n// System.out.println(\"1st\"+s2[1]);\n connectionDetails[i]+=s2[1];\n connectionDetails[i]+=\" \";\n }\n }\n// System.out.println(\"CD\"+connectionDetails[i]);\n\n }\n for(int i=0;i<days;i++){\n for(int j=0;j<clusterNumber;j++){\n if(clusterDetails[j][3]>=clusterDetails[j][1]){\n clusterDetails[j][3]= clusterDetails[j][3]-clusterDetails[j][1];\n }\n else if(clusterDetails[j][3]<clusterDetails[j][1]&& j+1<clusterNumber && clusterDetails[j+1][3]<clusterDetails[j+1][1]){\n if(connectionDetails[j].contains((j+1)+\"\")){\n String s1[] = connectionDetails[j+1].split(\" \");\n //System.out.println(Arrays.toString(s1));\n for(int k=0;k<s1.length;k++){\n int m= Integer.parseInt(s1[k]);\n// System.out.println(\"m\"+m);\n if(m!=0){\n totalRequirement+= clusterDetails[m-1][2];\n clusterDetails[m-1][3] = clusterDetails[m-1][2];\n }\n }\n\n }\n else {\n String s1[] = connectionDetails[j].split(\" \");\n //System.out.println(Arrays.toString(s1));\n for(int k=0;k<s1.length;k++){\n int m= Integer.parseInt(s1[k]);\n// System.out.println(\"m\"+m);\n if(m!=0){\n totalRequirement+= clusterDetails[m-1][2];\n clusterDetails[m-1][3] = clusterDetails[m-1][2];\n }\n }\n }\n }\n else {\n String s1[] = connectionDetails[j].split(\" \");\n //System.out.println(Arrays.toString(s1));\n for(int k=0;k<s1.length;k++){\n int m= Integer.parseInt(s1[k]);\n// System.out.println(\"m\"+m);\n if(m!=0){\n totalRequirement+= clusterDetails[m-1][2];\n clusterDetails[m-1][3] = clusterDetails[m-1][2];\n }\n }\n }\n }\n\n }\n System.out.print(totalRequirement);\n }","title":""},{"docid":"2fcdca221aca8a2efa6c0f05241c478e","score":"0.4928189","text":"void do_inference_from_bucket_tree() {\n results = new ProbabilityFunction[1]; \n bucket_tree.reduce();\n results[0] = bucket_tree.get_normalized_result();\n }","title":""},{"docid":"cead529b89c1aa632ccbd488eda6526c","score":"0.49240568","text":"public int redistribute () {\n\t\tint key = 0;\n\t\t///////////////////\n\t\t// ADD CODE HERE // \n\t\t///////////////////\n\t\tif(lastindex==maxkeys()){\n\t\t\t\n\t\t\t//if the node is full\n\t\t\tint secondNodeStart = (lastindex+1+2)/2+1;\n\t\t\t//get the key which will be inserted into parent\n\t\t\tkey = tempKeys[secondNodeStart-1];\n\t\t\t//create second node\n\t\t\tNode secondNode = new InternalNode(degree, tempPtrs[secondNodeStart-1], tempKeys[secondNodeStart], tempPtrs[secondNodeStart], this.next, this);\n\t\t\tReference tempParent = getParent();\n\t\t\tif(tempParent!=null){\n\t\t\t\tsecondNode.setParent(new Reference(tempParent.getNode(), tempParent.getIndex()+1, false));\n\t\t\t}\t//add element to second node\n\t\t\tfor(int i = secondNodeStart+1;i<=lastindex+1;i++){\n\t\t\t\tsecondNode.insert( tempKeys[i], tempPtrs[i]);\n\t\t\t}\n\t\t\t//process the old node\n\t\t\tthis.lastindex=secondNodeStart-2;\n\t\t\tint tempj = 1;\n\t\t\twhile(tempj<=lastindex){\n\t\t\t\tkeys[tempj]=tempKeys[tempj];\n\t\t\t\tptrs[tempj]=tempPtrs[tempj];\n\t\t\t\tptrs[tempj].setParent(new Reference(this, tempj, false));\n\t\t\t\ttempj++;\n\t\t\t}\n\t\t\twhile(tempj<=degree-1){\n\t\t\t\tkeys[tempj]=0;\n\t\t\t\tptrs[tempj]=null;\n\t\t\t\ttempj++;\n\t\t\t}\n\t\t}else if(lastindex<minkeys()){\n\t\t\t\n\t\t}\n\t\treturn key;\n\n\t}","title":""},{"docid":"d098e247a5116548e9616825a2df0e91","score":"0.49215484","text":"static int get_degree(long n, long p) {\n int degree_num = 0;\n long u = p;\n long temp = n;\n\n while (u <= temp) {\n degree_num += temp / u;\n u *= p;\n }\n return degree_num;\n }","title":""},{"docid":"d4802013da2d9ae7c9c502123846a34f","score":"0.49202532","text":"VariableAmount getClustersPerChunk();","title":""},{"docid":"d2a93c19a3abfcf5d589bb99ab7226ea","score":"0.49190104","text":"public final double getMaxNrOfJobs ()\n {\n return this.maxNrOfJobs;\n }","title":""},{"docid":"e340847da4cd0ede2f57c25a0dbced65","score":"0.49177063","text":"public static void main(String[] args) {\n\t\tScanner in = new Scanner(System.in);\n\t\tint t = in.nextInt();\n\t\tfor (int a0 = 0; a0 < t; a0++) {\n\t\t\tint n = in.nextInt();\n\t\t\tint m = in.nextInt();\n//\t\t\tint[] array0 = new int[m];\n//\t\t\tint[] array1 = new int[m];\n//\t\t\tRandom r = new Random();\n//\t\t\tfor (int i = 0; i < m; i++) {\n//\t\t\t\tarray0[i] = r.nextInt(n-1);\n//\t\t\t\tarray1[i] = r.nextInt(n-1);\n//\t\t\t}\n\t\t\tGroups groups = new Groups(n);\n\t\t\tfor (int a1 = 0; a1 < m; a1++) {\n\t\t\t\t int x = in.nextInt();\n\t\t\t\t int y = in.nextInt();\n//\t\t\t\tint x = array0[a1];\n//\t\t\t\tint y = array1[a1];\n\t\t\t\tgroups.add(x, y);\n\t\t\t}\n\t\t\t// groups.printAll();\n\t\t\tlong count = 0;\n\t\t\t// BigInteger m = BigInteger.valueOf(m0);\n\t\t\tArrayList<BigInteger> partialSums = new ArrayList<BigInteger>();\n\t\t\tMap<Integer, Integer> map = new LinkedHashMap<Integer, Integer>();\n\t\t\tfor(int i=0;i<groups.list.length;i++){\n\t\t\t\tif(map.containsKey(groups.list[i])){\n\t\t\t\t\tint a = map.get(groups.list[i]);\n\t\t\t\t\ta++;\n\t\t\t\t\tmap.replace(groups.list[i], a);\n\t\t\t\t} else {\n\t\t\t\t\tmap.put(groups.list[i], 1);\n\t\t\t\t}\n\t\t\t}\n//\t\t\tCollections.sort(groups.groups);\n\t\t\tlong variabile = map.get(groups.list[0]);\n\t\t\tfor (int i = 0; i < groups.list.length; i++) {\n\t\t\t\tlong k = map.get(groups.list[i]);\n\t\t\t\t// BigInteger k = BigInteger.valueOf(ki);\n\t\t\t\tlong res0;\n\t\t\t\tif (i == 0) {\n\t\t\t\t\tres0 = k * (k - 1) * (m - (k - 2));\n\t\t\t\t} else {\n//\t\t\t\t\tfor (int i0 = 0; i0 <= i; i0++) {\n\t\t\t\t\t\tvariabile += map.get(groups.list[i]);\n//\t\t\t\t\t}\n\t\t\t\t\tres0 = k * (k - 1) * (m - (variabile - (2 + i)));\n\t\t\t\t}\n//\t\t\t\tres0 += summPartials(k);\n\t\t\t\tres0 += k*(k-2);\n\t\t\t\tcount += res0;\n\t\t\t}\n\t\t\tSystem.out.println(count);\n\t\t\t// for (BigInteger bigInteger : partialSums) {\n\t\t\t// System.out.print(bigInteger.toString()+\" \");\n\t\t\t// }\n\t\t\t// System.out.print(\"\\n\");\n\t\t}\n\t}","title":""},{"docid":"d07841d9a963bcec0efa17edd9a8ef4b","score":"0.4915175","text":"private double dist(Graph g1, Graph g2) {\r\n int[] map = ctree.mapper.map(g1, g2);\r\n return 10000 - ctree.graphSim.sim(g1, g2, map);\r\n }","title":""},{"docid":"0c41f1073da5416cfe2e45e78b8ad361","score":"0.49086198","text":"private int getNumWorkersGatheringGas() {\n int numWorkers = 0;\n for (Unit unit : self.getUnits()) {\n if (unit.isGatheringGas()) {\n numWorkers++;\n }\n }\n return numWorkers;\n }","title":""},{"docid":"95258324a9eadd876fcb5c4760825680","score":"0.4904363","text":"public int getOutDegree(){\n\t\treturn(outDegree);\n\t}","title":""},{"docid":"c7169197e2907cf9e4ab902b9339e9bc","score":"0.4902643","text":"public void run() {\n int maxDegree = 0;\n int numNodes = graph.getNumberOfVertices();\n for( int i=0; i<numNodes; ++i) {\n\n //Select a vertex from the graph that has minimum degree\n NVertex<D> minDegreeVertex = null;\n int min = Integer.MAX_VALUE;\n for(NVertex<D> v : graph) {\n if( min > v.getNumberOfNeighbors() ) {\n minDegreeVertex = v;\n min = v.getNumberOfNeighbors();\n }\n }\n if( minDegreeVertex != null ){\n //if the the maxdegree of the selected vertex > current high:\n //set maxdegree as new lowerbound\n if( minDegreeVertex.getNumberOfNeighbors()>maxDegree) {\n maxDegree = minDegreeVertex.getNumberOfNeighbors();\n }\n\n NVertex<D> vertexToContractWith = null;\n\n HashSet<NVertex<D>> newStartVNeighbors = new HashSet<NVertex<D>>();\n for(NVertex<D> v : minDegreeVertex)\n newStartVNeighbors.add(v);\n\n int sameN = Integer.MAX_VALUE;\n for( NVertex<D> other: minDegreeVertex) {\n //Loop over buren van buur\n int same = 0;\n for(NVertex<D> bb : other)\n if(newStartVNeighbors.contains(bb))\n ++same;\n\n if(same<sameN) {\n vertexToContractWith = other;\n sameN = same;\n }\n }\n if( vertexToContractWith!=null ) {\n graph.contractEdge(minDegreeVertex,vertexToContractWith);\n }\n }\n }\n if( maxDegree>lowerbound ) lowerbound = maxDegree;\n\n }","title":""},{"docid":"79aca0fb1303309a2ae0475fc624d17e","score":"0.49021173","text":"int getCellsPerResultCount();","title":""},{"docid":"bbcf600672b13229873018c98599974f","score":"0.49002552","text":"private long calculateN() {\n\t\t// numver of elements for constant velocity section\n\t\tn = totalElementNumber - 2 * s;\n\t\t// set the element at which pulse stops\n\t\tpulseStopElement = totalElementNumber - this.s - 1;\n\t\treturn n;\n\t}","title":""},{"docid":"c99bcace27c02c729e07e13943f06794","score":"0.48995972","text":"public double getFitness(int k){\r\n\r\n return (double) connections / (double)((k * (k - 1)) / 2);\r\n }","title":""},{"docid":"59a37276fabd5dc8730812721678eec7","score":"0.489183","text":"public int degree() {\n\t\t\treturn incEdges.size();\n\t\t}","title":""},{"docid":"3629bba9567d1ec222df550f51a74e9a","score":"0.48917586","text":"private void updateJobOrder(double[] sFree, double[] rFree) {\n\t\tdouble recvBytes[] = new double[NUM_RACKS];\n\t\tdouble sendBytes[] = new double[NUM_RACKS];\n\t\tArrays.fill(recvBytes, 0);\n\t\tArrays.fill(sendBytes, 0);\n\t\tVector<Job> result = new Vector<Job>();\n\t\tint jobsize = sortedJobs.size();\n\t\tdouble adjustweight[] = new double[jobsize];\n\n\t\t// processing time of job i task k, port\n\t\tdouble processingtimeSend[][][] = new double[25][50][100];\n\t\tdouble processingtimeReceive[][][] = new double[25][50][100];\n\n\t\tArrays.fill(processingtimeSend, 0);\n\t\tArrays.fill(processingtimeReceive, 0);\n\n\t\t// initiate weight of tasks\n\t\tfor (int i = 0; i < jobsize; i++) {\n\t\t\tadjustweight[i] = ((Job) sortedJobs.get(i)).weight;\n\t\t}\n\n\t\t// compute the load of every tasks to the ports\n\t\tint sortedJobsize = sortedJobs.size();\n\t\tfor (int i = 0; i < sortedJobsize; i++) {\n\t\t\tJob j = sortedJobs.get(i);\n\t\t\t// first compute the load of every port\n\t\t\tint tasksize = j.tasks.size();\n\t\t\tfor (int k = 0; k < tasksize; k++) {\n\t\t\t\tTask t = j.tasks.get(k);\n\t\t\t\tif (t.taskType != TaskType.REDUCER)\n\t\t\t\t\tcontinue;\n\t\t\t\t// compute the processing time of each port\n\t\t\t\tReduceTask rt = (ReduceTask) t;\n\t\t\t\trecvBytes[rt.taskID] += rt.shuffleBytesLeft;\n\t\t\t\t// check if rFree is zero\n\t\t\t\tif (rFree[rt.taskID] > Constants.ZERO)\n\t\t\t\t\tprocessingtimeReceive[i][k][rt.taskID] += rt.shuffleBytesLeft / rFree[rt.taskID];\n\t\t\t\telse\n\t\t\t\t\tprocessingtimeReceive[i][k][rt.taskID] = Constants.VALUE_UNKNOWN;\n\t\t\t\tint flowsize = rt.flows.size();\n\t\t\t\tfor (int m = 0; m < flowsize; m++) {\n\t\t\t\t\tFlow f = rt.flows.get(m);\n\t\t\t\t\tsendBytes[f.mapper.taskID] += f.bytesRemaining;\n\t\t\t\t\t// check if sFree is zero\n\t\t\t\t\tif (sFree[f.mapper.taskID] > Constants.ZERO)\n\t\t\t\t\t\tprocessingtimeSend[i][k][f.mapper.taskID] += f.bytesRemaining / sFree[f.mapper.taskID];\n\t\t\t\t\telse\n\t\t\t\t\t\tprocessingtimeSend[i][k][f.mapper.taskID] = Constants.VALUE_UNKNOWN;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tint k = sortedJobs.size() - 1;\n\t\twhile (k >= 0) {\n\t\t\t// find the largest load port\n\t\t\tdouble maxrecv = 0;\n\t\t\tint maxrecvmachine = 0;\n\t\t\tdouble maxsend = 0;\n\t\t\tint maxsendmachine = 0;\n\n\t\t\t// get the heaviest load\n\t\t\tfor (int i = 0; i < NUM_RACKS; i++) {\n\t\t\t\tif (maxsend <= sendBytes[i]) {\n\t\t\t\t\tmaxsendmachine = i;\n\t\t\t\t\tmaxsend = sendBytes[i];\n\t\t\t\t}\n\n\t\t\t\tif (maxrecv <= recvBytes[i]) {\n\t\t\t\t\tmaxrecvmachine = i;\n\t\t\t\t\tmaxrecv = recvBytes[i];\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// find the corresponding job who has max(weight/processing time)\n\t\t\tdouble minfactor = 1000000;\n\t\t\tint jobindex = 0;\n\n\t\t\t// refresh the job set size\n\t\t\tsortedJobsize = sortedJobs.size();\n\t\t\tfor (int i = 0; i < sortedJobsize; i++) {\n\t\t\t\tJob job = sortedJobs.get(i);\n\t\t\t\t// only deals with the other jobs\n\t\t\t\tif (result.contains(job))\n\t\t\t\t\tcontinue;\n\t\t\t\tdouble taskmaplevel = 0;\n\t\t\t\tdouble taskreducelevel = 0;\n\t\t\t\tfor (int j = 0; j < 50; j++) {\n\t\t\t\t\ttaskmaplevel += processingtimeSend[i][j][maxsendmachine];\n\t\t\t\t\ttaskreducelevel += processingtimeReceive[i][j][maxrecvmachine];\n\t\t\t\t}\n\t\t\t\tdouble level = 0;\n\t\t\t\tif (taskmaplevel < taskreducelevel) {\n\t\t\t\t\tlevel = taskmaplevel;\n\t\t\t\t} else {\n\t\t\t\t\tlevel = taskreducelevel;\n\t\t\t\t}\n\n\t\t\t\tif (minfactor > adjustweight[i] / level) {\n\t\t\t\t\tminfactor = adjustweight[i] / level;\n\t\t\t\t\tjobindex = i; // find the corresponding job\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// add the job to the result set\n\t\t\tresult.add(sortedJobs.get(jobindex));\n\t\t\t// adjust the job weight in sorted Jobs\n\t\t\tfor (int i = 0; i < sortedJobsize; i++) {\n\t\t\t\tif (result.contains(sortedJobs.get(i)))\n\t\t\t\t\tcontinue;\n\t\t\t\tdouble taskmaplevel = 0;\n\t\t\t\tdouble taskreducelevel = 0;\n\t\t\t\tfor (int j = 0; j < 50; j++) {\n\t\t\t\t\ttaskmaplevel += processingtimeSend[i][j][maxsendmachine];\n\t\t\t\t\ttaskreducelevel += processingtimeReceive[i][j][maxrecvmachine];\n\t\t\t\t}\n\t\t\t\tdouble level = Math.max(taskmaplevel, taskreducelevel);\n\t\t\t\tadjustweight[i] -= minfactor * level;\n\n\t\t\t}\n\t\t\tk--;\n\n\t\t}\n\n\t\tint size = result.size();\n\t\tfor (int i = size - 1; i >= 0; i--) {\n\t\t\tsortedJobs.set(size - 1 - i, result.get(i));\n\t\t}\n\n\t}","title":""},{"docid":"995fd98cd58c1d68f3ccce3ce20cf17c","score":"0.48863208","text":"public int GetCost(Node node)\n {\n int m=Math.abs(node.X-this.X);\n int n=Math.abs(node.Y-this.Y);\n// if(m>n)return 11*m+5*n;\n// else return 5*m+11*n;\n// return m>n?8*m+7*n:7*m+8*n;\n// int max=m>n?m:n;\n// int min=m<n?m:n;\n// int d2=4*(int)(Math.sqrt(2)*min)+3*(max-min);\n// int d2=4*min+3*(max-min);\n// return m+n;\n return 10*(m+n);\n }","title":""},{"docid":"fccc1700329a13c6f13d4fc5488e6127","score":"0.48855543","text":"double distance(Node node) {\n double dist = 0.0;\n for (int i = 0; i < d; i++) {\n double d = sum[i] / n - node.sum[i] / node.n;\n dist += d * d;\n }\n return Math.sqrt(dist);\n }","title":""},{"docid":"6860986b9c3e8ba25290f37dec99becf","score":"0.48852625","text":"public Node clusterObjects() {\r\n // preparing\r\n Node[] nodes = new Node[n];\r\n for (int i = 0; i < n; i++) {\r\n Node c = new Node();\r\n c.no = i;\r\n c.dx = 0;\r\n c.dy = (i + 1) * borderLineSize + i * cellSize + cellSize / 2;\r\n nodes[i] = c;\r\n }\r\n\r\n double[][] dist = new double[n][n];\r\n int[] g1 = new int[n];\r\n int[] g2 = new int[n];\r\n\r\n for (int i = 0; i < n; i++) {\r\n getGroup(nodes[i], g1, 0);\r\n dist[i][i] = 0;\r\n for (int j = i + 1; j < n; j++) {\r\n getGroup(nodes[j], g2, 0);\r\n dist[i][j] = dist[j][i] = distanceBetweenGroups(g1, 1, g2, 1);\r\n }\r\n }\r\n\r\n // clustering\r\n int count = n;\r\n Node root = (n > 0) ? nodes[0] : null;\r\n while (count > 1) {\r\n// System.out.println(\"Count = \" + count);\r\n\r\n double minDist = Double.MAX_VALUE;\r\n int i = -1, j = -1;\r\n\r\n for (int ii = 0; ii < n; ii++) {\r\n for (int jj = ii + 1; jj < n; jj++) {\r\n if (nodes[ii] != null && nodes[jj] != null && dist[ii][jj] < minDist) {\r\n minDist = dist[ii][jj];\r\n i = ii;\r\n j = jj;\r\n }\r\n }\r\n }\r\n\r\n if (i == -1 || minDist < 0) {\r\n throw new RuntimeException(\"Internal error. Wrong minDist index.\");\r\n }\r\n\r\n // merging node i and j\r\n// System.out.println(\"Merging \" + i + \" and \" + j + \", min dist = \" + minDist);\r\n root = new Node();\r\n root.left = nodes[i];\r\n root.right = nodes[j];\r\n root.distance = minDist;\r\n root.leafs = root.left.leafs + root.right.leafs;\r\n\r\n root.dy = (root.left.dy + root.right.dy) / 2;\r\n root.dx = (int) (minDist / high * dx_for_dendrogram);\r\n\r\n // updating\r\n nodes[i] = root;\r\n nodes[j] = null;\r\n int g1n = getGroup(root, g1, 0);\r\n for (int ii = 0; ii < n; ii++) {\r\n dist[ii][j] = dist[j][ii] = -1;\r\n if (ii != i) {\r\n int g2n = getGroup(nodes[ii], g2, 0);\r\n dist[ii][i] = dist[i][ii] = distanceBetweenGroups(g1, g1n, g2, g2n);\r\n }\r\n }\r\n count--;\r\n }\r\n\r\n// System.out.println(\"Done\");\r\n return root;\r\n }","title":""},{"docid":"d9b6a474564ae6ac4d0c5b146f1f9e8c","score":"0.48848122","text":"public void genCluster(Node n, long baseID)\r\n/* 167: */ throws IOException\r\n/* 168: */ {\r\n/* 169:250 */ Stack st = new Stack();\r\n/* 170:251 */ Hashtable ht = new Hashtable();\r\n/* 171: */ \r\n/* 175:256 */ st.push(n);\r\n/* 176:262 */ while (!st.empty())\r\n/* 177: */ {\r\n/* 178:264 */ Node tmp = (Node)st.peek();\r\n/* 179:265 */ if (tmp.isCluster())\r\n/* 180: */ {\r\n/* 181:267 */ String strongestNode = findStrongestNode(tmp);\r\n/* 182:268 */ String hkey = \"SS_\" + tmp.name_d;\r\n/* 183:273 */ if (ht.containsKey(tmp.getUniqueID()))\r\n/* 184: */ {\r\n/* 185:275 */ ht.remove(tmp.getUniqueID());\r\n/* 187:277 */ st.pop();\r\n/* 188: */ }\r\n/* 189: */ else\r\n/* 190: */ {\r\n/* 191:284 */ ht.put(tmp.getUniqueID(), tmp.getUniqueID());\r\n/* 192: */ \r\n/* 196:289 */ String cName = \"SS-L\" + tmp.nodeLevel + strongestNode;\r\n/* 197:290 */ long clustID = tmp.nodeID + baseID++;\r\n/* 198: */ \r\n/* 199:292 */ for (int j = 0; j < tmp.children.length; j++) {\r\n/* 204:301 */ st.push(tmp.children[j]);\r\n/* 205: */ }\r\n/* 206: */ }\r\n/* 207: */ }\r\n/* 208: */ else\r\n/* 209: */ {\r\n\t\t\t\t\t this.writer_d.write(\"contain \" + tmp.getName() + \"cluster \" + tmp.getName() + \"\\n\");\r\n\t/* 211:311 */ \r\n/* 210:310 */ st.pop();\r\n/* 212: */ }\r\n/* 213: */ }\r\n/* 214: */ }","title":""},{"docid":"2def8ee59df03f605a81fd1d63939f9a","score":"0.4884382","text":"public Graph<Integer, DefaultWeightedEdge> generateKCliqueDS(int n_clique) throws IOException, InterruptedException {\n\t\t//Copy of graph to modify\n\t\tGraph<Integer, DefaultWeightedEdge> graph \n\t\t\t= new SimpleWeightedGraph<>(DefaultWeightedEdge.class);\n\t\tGraphs.addGraph(graph, graph_org);\n\t\tdouble shapeCount = 0;\n\t\tint nodeCount = graph.vertexSet().size();\n\t\t\n\t\t//Priority queue of every node and the number of shapes it participates in\n\t\tPriorityQueue<Node> pq_degrees = new PriorityQueue<Node>(new Comparator<Node>() {\n\t\t\t@Override\n\t\t\tpublic int compare(Node a, Node b) {\n\t\t\t\treturn Integer.compare(a.degree, b.degree);\n\t\t\t}\n\t\t});\n\t\t\n\t\t\n\t\t//Generate list of elems via MACE\n\t\tString filename = \"test\";\n\t\t\n\t\tGraphToMACE e = new GraphToMACE(graph, filename);\n\t\te.parseInput();\n\t\tString command = \n\t\t\t\t\"./mace C -l \"+n_clique+\" -u \"+n_clique+\" ./MACEInput/\"+filename+\".in ./ShapeLists/\" + filename+ \".shapes\";\n\t\tProcess p = Runtime.getRuntime().exec(command);\n\t\tp.waitFor();\n\t\t\n\t\t//Construct Degree Table\n\t\tNode[] nodeToObject = new Node[nodeCount];\n\t\tint[] degreeOfIndex = new int[nodeCount];\n\t\tvar br = new BufferedReader(new FileReader(\"./ShapeLists/\"+filename+\".shapes\"));\n\t\tString s = \"\";\n\t\tStringTokenizer st;\n\t\t//Parse MACE output\n\t\twhile((s = br.readLine()) != null) {\n\t\t\tst = new StringTokenizer(s);\n\t\t\twhile(st.hasMoreTokens()) {\n\t\t\t\tvar elemInShape = Integer.parseInt(st.nextToken());\n\t\t\t\tdegreeOfIndex[elemInShape]++;\n\t\t\t}\n\t\t\tshapeCount++;\n\t\t}\n\t\tbr.close();\n\t\t\n\t\t//Populate priority queue\n\t\tfor(int i = 0; i < degreeOfIndex.length; i++) {\n\t\t\tNode n = new Node(i, degreeOfIndex[i]);\n\t\t\t\n\t\t\tnodeToObject[i] = n;\n\t\t\tpq_degrees.add(nodeToObject[i]);\n\t\t}\n\t\t\n\t\t//Max Shape Ratio alg\n\t\tArrayList<Integer> removalOrder = new ArrayList<Integer>();\n\t\tint idealStop = 0;\n\t\tdouble maxRatio = (double) shapeCount/pq_degrees.size();\n\t\tint itr_counter = 0;\n\t\twhile(nodeCount > 0) {\n\t\t\t//Remove min node\n\t\t\tNode minVertex = pq_degrees.poll();\n\t\t\t\n\t\t\t//Update neighbors - n choose n_clique\n\t\t\tvar neighbors = Graphs.neighborListOf(graph, minVertex.key);\n\t\t\t//Is a clique containing that node even possible\n\t\t\tif(neighbors.size() >= n_clique - 1) { \n\t\t\t\t//Generate possible combinations for vertices to comprise shape\n\t\t\t\tCombinations cb = new Combinations(neighbors.size(), n_clique - 1);\n\t\t\t\tvar cb_itr = cb.iterator();\n\t\t\t\twhile(cb_itr.hasNext()) {\n\t\t\t\t\tint[] combination_set = cb_itr.next();\n\t\t\t\t\t//if curr_set is a clique, decrement each vertex degree\n\t\t\t\t\tif(isClique(graph, neighbors, combination_set)) {\n\t\t\t\t\t\tfor(int elem : combination_set) {\n\t\t\t\t\t\t\tint currElemVertex = neighbors.get(elem);\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t//Update degree table\n\t\t\t\t\t\t\tdegreeOfIndex[currElemVertex]--;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\t//Update priority queue\n\t\t\t\tfor(var vertex : neighbors) {\n\t\t\t\t\tpq_degrees.remove(nodeToObject[vertex]);\n\t\t\t\t\tnodeToObject[vertex].degree = degreeOfIndex[vertex];\n\t\t\t\t\tpq_degrees.add(nodeToObject[vertex]);\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t//Update Values\n\t\t\tshapeCount -= minVertex.degree;\n\t\t\tnodeCount = pq_degrees.size();\n\t\t\tdegreeOfIndex[minVertex.key] = 0;\n\t\t\tremovalOrder.add(minVertex.key);\n\t\t\tgraph.removeVertex(minVertex.key);\n\t\t\t\n\t\t\t//Keep track of running max ratio as well as subset of nodes\n\t\t\tif(nodeCount > 0 && (double)shapeCount/nodeCount > maxRatio) {\n\t\t\t\tmaxRatio = Math.max(maxRatio, shapeCount/nodeCount);\n\t\t\t\tidealStop = itr_counter;\n\t\t\t}\n\t\t\t\n\t\t\titr_counter++;\n\t\t}\n\t\t\t\t\n\t\t//Collect nodes not part of our optimal subgraph\n\t\tHashSet<Integer> optimal = new HashSet<>();\n\t\tfor(int i = idealStop + 1; i < removalOrder.size(); i++) {\n\t\t\toptimal.add(removalOrder.get(i));\n\t\t}\n\t\t\n\t\tGraph<Integer, DefaultWeightedEdge> subgraph = new AsSubgraph<Integer, DefaultWeightedEdge>(graph_org, optimal);\n\t\t\n\t\treturn subgraph;\n\t}","title":""},{"docid":"2ed55b2409bcb4c2200b018a59b0ee2e","score":"0.48820204","text":"public void compute() {\n\t\tif(end-start>100){\n\t\t\tint middle = (start+end)/2;\n\t\t\tTask task1 = new Task(this.getName() +\"1\" ,start,middle,array);\n\t\t\tTask task2 = new Task(this.getName() +\"2\" ,middle,end,array);\n\t\t\tthis.invokeAll(task1,task2);\n\t\t}else{\n\t\t\tfor(int i=start;i<end;i++){\n\t\t\t\tarray[i]++;\n\t\t\t}\n\t\t\ttry {\n\t\t\t\tThread.sleep(50);\n\t\t\t} catch (InterruptedException e) {\n\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t}\n\t}","title":""},{"docid":"307957b92d594dd5dd741efa248b407e","score":"0.48776343","text":"int [][]FCFS( int arrival_time [], int job_size[] ) {\n \n\n int size=arrival_time.length;\n int jobArrivedTime[]= new int[size];\n int jobWaitTime[] = new int[size];\n int jobStartAt[] = new int[size];\n int jobFinishedAt[] = new int[size];\n int result[][]= new int[size+1][size+1];\n //arrival time is computed\n for(int i=0;i<size;i++){\n jobArrivedTime[i] = arrival_time[i];\n \n }\n //finished time is computed\n jobFinishedAt[0]=job_size[0];\n for(int i=1;i<size;i++){\n \tif(jobArrivedTime[i] > jobFinishedAt[i-1] ){\n \t\t\n \t\tjobFinishedAt[i] = jobArrivedTime[i] + job_size [i] - 1 ;\n \t}\n \telse {\n jobFinishedAt[i] = jobFinishedAt[i-1] + job_size[i] ;\n \t}\n \t}\n //start time is computed\n jobStartAt[0] = 1;\n for(int i=1;i<size;i++){\n \tif(jobArrivedTime[i] > jobFinishedAt[i-1] ){\n \t\tjobStartAt[i]=jobArrivedTime[i];\n \t}\n \telse {\n jobStartAt[i] = jobFinishedAt[i-1] + 1;\n \t}\n \t}\n //wait time is computed\n jobWaitTime[0]=0;\n for(int i=1;i<size;i++){\n \tif(jobArrivedTime[i] > jobFinishedAt[i-1] ){\n \t\tjobWaitTime[i]=0;\n \t}\n \telse{\n jobWaitTime[i]= jobStartAt[i] - jobArrivedTime[i];\n \t}\n \t}\n int k=1;\n System.out.println(\"job\\tjobArrivedTime\\tjobWaitTime\\tjobStartAt\\tjobFinishedAt\" );\n //FCFS is created\n for(int i=0;i<size;i++){\n \n result[i][0]=k++;\n result[i][1]=jobArrivedTime[i];\n result[i][2]=jobWaitTime[i];\n result[i][3]=jobStartAt[i];\n result[i][4]=jobFinishedAt[i];\n \n }\n for(int i=0;i<size;i++){\n System.out.println();\n for(int j=0;j<size+1;j++){\n System.out.print(result[i][j] + \"\\t\\t\");\n }\n }\n return result;\n }","title":""},{"docid":"66a730d569ae940b4065fe1f3b814f4c","score":"0.48770037","text":"public Double buildSchedule(List<Job> jobs, final Set<Worker> workers){\n\t\tDouble totalCost = 0.0;\n\t\t\n\t\tfor(int i=0; i<10000;i++){ // Loop for time\n\t\t\t// Create priority queue to sort jobs as per priority heuristics\n\t\t\tPriorityQueue<JobInstance> ordJobs = new PriorityQueue<>();\n\t\t\t\n\t\t\t\n\t\t\tfor (Job job: jobs){\n\t\t\t\t// Ignore future jobs\n\t\t\t\tif(job.start>i) continue;\n\n\t\t\t\t// Add new instance of the job for each worker\n\t\t\t\tfor(Worker w:workers){\n\t\t\t\t\tJobInstance ji = workJobAloc.get(w);\n\t\t\t\t\t\n\t\t\t\t\tif(ji==null || !ji.job.getID().equals(job.getID())){\n\t\t\t\t\t\tji = new JobInstance(job, i);\n\t\t\t\t\t}\n\t\t\t\t\tordJobs.add(ji);\n\t\t\t\t}\n\t\t\t}\n//\t\t\tordJobs.forEach((ji)->{\n//\t\t\t\tSystem.out.print(\"\\t\"+ji);\n//\t\t\t\t});\n//\t\t\tSystem.out.println();\n\t\t\t\n\t\t\t// Fetch top n jobs from priority queue\n\t\t\tList<JobInstance> availJobs = new LinkedList<>();\n\t\t\tSet<Worker> availWorkers = new HashSet<>(workers);\n\t\t\tfor(int j=0, lim=Math.min(workers.size(), ordJobs.size()); j<lim;j++){\n\t\t\t\tJobInstance ji = ordJobs.poll();\n\t\t\t\tWorker w = workJobAloc.get(ji);\n\t\t\t\tif(w != null )\n\t\t\t\t\tavailWorkers.remove(w);\n\t\t\t\telse\t\n\t\t\t\t\tavailJobs.add(ji);\n\t\t\t}\n\t\t\t\n\t\t\t// Now allocate new jobs\n\t\t\tIterator<Worker> iterWorkers = availWorkers.iterator();\n\t\t\tfor(JobInstance ji: availJobs){\n\t\t\t\tif(!iterWorkers.hasNext()) break; // No more workers available\n\t\t\t\tWorker w = iterWorkers.next();\n\t\t\t\tworkJobAloc.put(w, ji);\n\t\t\t}\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\tfor(Worker w: workers){\n\t\t\t\tJobInstance ji = workJobAloc.get(w);\n\t\t\t\tif(ji == null) continue;\t// Worker idle \n\t\t\t\tji.addStep(i);\n\t\t\t\t\n\t\t\t\tif(ji.job.getRemaining() <= 0){\n\t\t\t\t\tworkJobAloc.archiveEntry(w);\n\t\t\t\t\tji.finishJob(i+1);\n\t\t\t\t\ttotalCost += ji.job.getCost();\n\t\t\t\t\t\n\t\t\t\t\tjobs.remove(ji.job);\n\t\t\t\t}\n\t\t\t}\n//\t\t\tSystem.out.println(workJobAloc);\n\t\t\tif(workJobAloc.isEmpty() && jobs.isEmpty()) break;\n\t\t}\n\t\t\n\t\treturn totalCost;\n\t}","title":""},{"docid":"9149f6b557fc6cb5986de0d3289f317b","score":"0.48762655","text":"int getFixedNodesCount();","title":""},{"docid":"84b6aef19a2daae0cc5529a271c20190","score":"0.4875921","text":"private void computerDesity() {\n\n\t\trho = new double[numInstances()];\n\t\tfor (int i = 0; i < numInstances() - 1; i++) {\n\n\t\t\tfor (int j = i + 1; j < numInstances(); j++) {\n\t\t\t\tdouble tempDistance = distanceManhattan(i, j);\n\t\t\t\tif (tempDistance < dc) {\n\t\t\t\t\trho[i]++;\n\t\t\t\t\trho[j]++;\n\t\t\t\t} // of if\n\n\t\t\t} // of for j\n\n\t\t} // of for i\n\n\t}","title":""},{"docid":"c6fdd0d62ff8d52d053b20a83defe0f1","score":"0.4873446","text":"public void calculateScore(){\n\t\tList<Node> nodes = graph.getNodes();\r\n\t\tfor(Node node: nodes){\r\n\t\t \tnode.rspre = 1;\r\n\t\t}\r\n\r\n\t\t//diffusion to stable state\r\n\t\tdouble error = 10000;\r\n\t\tdouble error_threshold=0.00002;\r\n\t\tint step = 1;\r\n\t\twhile(error>error_threshold){\r\n\t\t\t//System.out.println(\"step: \"+step+\" error: \"+error);\r\n\t\t\t//int count = 0;\r\n\t\t\tdouble other = 0;\r\n\t\t\tfor(Node node: nodes){\r\n\t\t\t\tif(node.getOutDegree() == 0 ){ \r\n\t\t\t\t\tdouble partscore = (1-c)*node.rspre/(double)graph.getGraphSize();\r\n\t\t\t\t\tother = other + partscore;\r\n\t\t\t\t\tcontinue;\r\n\t\t\t\t}\r\n\t\t\t\tint under = node.getOutDegree();\r\n\t\t\t\tList<Node> leaders = node.getLeaders();\r\n\t\t\t\t\r\n\t\t\t\tdouble partscore = (1-c)*node.rspre/(double)under;\r\n\t\t\t\r\n\t\t\t\tfor(Node leader: leaders)\r\n\t\t\t\t\tleader.rsafter = leader.rsafter + partscore;\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\t//caculate error\r\n\t\t\terror = 0;\r\n\t\t\tfor(Node node: nodes){\r\n\t\t\t\tnode.rsafter = node.rsafter + c + other;\r\n\t\t\t\terror = error + Math.abs(node.rsafter - node.rspre);\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\terror = error/(double)graph.getGraphSize();\r\n\t\t\t\r\n\t\t\tfor(Node node: nodes){\r\n\t\t\t\tnode.rspre = node.rsafter;\r\n\t\t\t\tnode.rsafter = 0;\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\tstep++;\r\n\t\t}\r\n\t\t\r\n\t\tSystem.out.println(\"Done!\");\r\n\t}","title":""},{"docid":"36a500b64ad7ae2e394f2afc2dd7ff0f","score":"0.486239","text":"public int gradNod(Person p){\n validareNod(p);\r\n return graph.get(p).size();\r\n }","title":""},{"docid":"80e1e7c0672a898c93600a45a42a82a6","score":"0.4861081","text":"double cost(Node start, Node candidate, Node end);","title":""},{"docid":"7c14d4d3ec5307b0e8e2151da1a7588b","score":"0.4859167","text":"public final double getMinNrOfJobs ()\n {\n return this.minNrOfJobs;\n }","title":""}],"string":"[\n {\n \"docid\": \"d20206f5a066e2cc06443d4a5055bd04\",\n \"score\": \"0.6336892\",\n \"text\": \"private static Job getDegreeJob() throws IOException{\\n\\t \\tJob job = Job.getInstance(new Configuration());\\n\\t\\t\\tjob.setJarByClass(OutDegreeDistribution.class);\\n\\t \\tjob.setMapperClass(OutDegreeMapper.class);\\n\\t \\tjob.setCombinerClass(OutDegreeReducer.class);\\n\\t \\tjob.setReducerClass(OutDegreeReducer.class);\\n\\t \\tjob.setOutputKeyClass(Text.class);\\n\\t\\t\\tjob.setOutputValueClass(IntWritable.class);\\n\\t \\t\\n\\t\\t\\treturn job;\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e98e99ac7626bf9f3c908487fb286592\",\n \"score\": \"0.5990014\",\n \"text\": \"public static void main(String[] args) throws Exception {\\n\\t\\t\\tConfiguration conf = new Configuration();\\n\\t\\t\\tString[] otherArgs = new GenericOptionsParser(conf, args)\\n\\t\\t\\t\\t\\t.getRemainingArgs();\\n\\t\\t\\tif (otherArgs.length != 2) {\\n\\t\\t\\t\\tSystem.err.println(\\\"Usage: OutDegreeDistribution <in> <out>\\\");\\n\\t\\t\\t\\tSystem.exit(2);\\n\\t\\t\\t}\\n\\t\\t\\tString outputPathDegreeReducer=otherArgs[1]+\\\"/degree\\\";\\n\\t\\t\\tString outputPathDistributionReducer=otherArgs[1]+\\\"/distrbn\\\";\\n\\t\\t\\t//Let's run the degree finder job for each node\\n\\t\\t\\tJob degreeJob=getDegreeJob();\\n\\t\\t\\tFileInputFormat.addInputPath(degreeJob, new Path(otherArgs[0]));\\n\\t\\t\\tFileOutputFormat.setOutputPath(degreeJob, new Path(outputPathDegreeReducer));\\n\\t\\t\\tif (!degreeJob.waitForCompletion(true)) System.exit(1); //don't proceed if this is not succeeded\\n\\t\\t\\ttotal_no_nodes= degreeJob.getCounters().findCounter(Task.Counter.REDUCE_OUTPUT_RECORDS).getValue();\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t//Now with the above result, let's run the distribution for each degree\\n\\t\\t\\tJob distributionJob = getDistributionJob();\\n\\t\\t\\tFileInputFormat.addInputPath(distributionJob, new Path(outputPathDegreeReducer));\\n\\t\\t\\tFileOutputFormat.setOutputPath(distributionJob, new Path(outputPathDistributionReducer));\\n\\t\\t\\tif (!distributionJob.waitForCompletion(true)) System.exit(1);\\n\\t\\t\\tSystem.exit(0);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2df42d1727eb9d53fce5a53a4fe62dbf\",\n \"score\": \"0.5586882\",\n \"text\": \"int getNumberOfParallelSubtasks();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5fba2ab1b4178abf7ebecb0ff8892f9b\",\n \"score\": \"0.5563308\",\n \"text\": \"@Override\\n\\tpublic java.lang.Long getCnt() {\\n\\t\\treturn _simulationJob.getCnt();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"85c3231bbdb7c4e6ce27799cf821d22c\",\n \"score\": \"0.55617857\",\n \"text\": \"public int run(String[] args) throws Exception \\n\\t{\\n\\t\\tint numberOfPartition = 2;\\n\\t\\t//boolean self_join = false;\\n\\t\\tJobConf conf = new JobConf(getConf(), KNNStep1.class);\\n\\t\\tconf.setJobName(\\\"KNNStep1\\\");\\n\\n\\t\\tconf.setMapperClass(MapClass.class); \\n\\t\\tconf.setReducerClass(Reduce.class);\\n\\t\\tconf.setOutputKeyClass(IntWritable.class);\\n\\t\\tconf.setOutputValueClass(KNNStep1Val.class);\\n\\t\\t\\n\\t\\tList<String> other_args = new ArrayList<String>();\\n\\t\\tfor(int i=0; i < args.length; ++i) \\n\\t\\t{\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tif (\\\"-m\\\".equals(args[i])) {\\n\\t\\t\\t\\t\\t//conf.setNumMapTasks(Integer.parseInt(args[++i]));\\n\\t\\t\\t\\t\\t++i;\\n\\t\\t\\t\\t} else if (\\\"-r\\\".equals(args[i])) {\\n\\t\\t\\t\\t\\tconf.setNumReduceTasks(Integer.parseInt(args[++i]));\\n\\t\\t\\t\\t} else if (\\\"-p\\\".equals(args[i])) {\\n\\t\\t\\t\\t\\tnumberOfPartition = Integer.parseInt(args[++i]);\\n\\t\\t\\t\\t\\tconf.setInt(\\\"numberOfPartition\\\", numberOfPartition);\\n\\t\\t\\t\\t} else if (\\\"-d\\\".equals(args[i])) {\\n\\t\\t\\t\\t\\tconf.setInt(\\\"dimension\\\", Integer.parseInt(args[++i]));\\n\\t\\t\\t\\t} else if (\\\"-k\\\".equals(args[i])) {\\n\\t\\t\\t\\t\\tconf.setInt(\\\"knn\\\", Integer.parseInt(args[++i]));\\n\\t\\t\\t\\t} else if (\\\"-b\\\".equals(args[i])) {\\n\\t\\t\\t\\t\\tconf.setInt(\\\"blockSize\\\", Integer.parseInt(args[++i]));\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tother_args.add(args[i]);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t// set the number of reducers\\n\\t\\t\\t\\tconf.setNumReduceTasks(numberOfPartition * numberOfPartition);\\n\\t\\t\\t} \\n\\t\\t\\tcatch (NumberFormatException except) {\\n\\t\\t\\t\\tSystem.out.println(\\\"ERROR: Integer expected instead of \\\" + args[i]);\\n\\t\\t\\t\\treturn printUsage();\\n\\t\\t\\t} catch (ArrayIndexOutOfBoundsException except) {\\n\\t\\t\\t\\tSystem.out.println(\\\"ERROR: Required parameter missing from \\\" + args[i-1]);\\n\\t\\t\\t\\treturn printUsage();\\n\\t\\t \\t}\\n\\t\\t}\\n\\n\\t\\t//if (args.length != 2) {\\n\\t\\tif (other_args.size() != 3) {\\n\\t\\t\\tSystem.out.println(\\\"ERROR: Wrong number of parameters: \\\" + other_args.size() + \\\" instead of 3.\\\");\\n\\t\\t return printUsage();\\n\\t\\t}\\n\\n\\t\\tFileInputFormat.setInputPaths(conf, other_args.get(0));\\n\\t\\tFileInputFormat.setInputPaths(conf, other_args.get(1));\\n\\t\\t//System.out.println(\\\"set R to the input path\\\");\\n\\t\\t//FileInputFormat.addInputPaths(conf, args[2]);\\n\\t\\t//System.out.println(\\\"set S to the input path\\\");\\n\\t\\tFileOutputFormat.setOutputPath(conf, new Path(other_args.get(2)));\\n\\n\\t\\tJobClient.runJob(conf);\\n\\n\\t\\treturn 0;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87318d21cfb7bb24cb98059857fc4f3e\",\n \"score\": \"0.55419433\",\n \"text\": \"private int getIterationsNumber() {\\n int log2 = (int) (Math.log(MPIContext.getProcessesNumber()) / Math.log(2d));\\n return log2;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1713689e542a4201245b02f3fd30180\",\n \"score\": \"0.55403566\",\n \"text\": \"static int[] componentsInGraph(int[][] gb) {\\n\\t\\tDisjointSet solution = new DisjointSet();\\n int n = gb.length;\\n int row = gb.length;\\n int col = gb[0].length;\\n \\n for(int i=1;i<=n;i++){\\n solution.makeSet(i);\\n solution.makeSet(i+n);\\n }\\n for(int i=0;i<row;i++){\\n solution.join(gb[i][0],gb[i][1]);\\n }\\n\\n\\t\\tfor(int i=1;i<=n;i++){\\n\\t\\t\\tSystem.out.println(i+\\\"th Parent \\\"+ solution.findSet(i).id);\\n\\t\\t\\tSystem.out.println(i+\\\"th Set total Count \\\"+ solution.findSet(i).rank);\\n\\t\\t\\t\\n\\t\\t\\tSystem.out.println((i+n)+\\\"th Parent \\\"+ solution.findSet(i+n).id);\\n\\t\\t\\tSystem.out.println((i+n)+\\\"th Set total Count \\\"+ solution.findSet(i+n).rank);\\n\\t\\t\\t\\n\\t\\t\\tSystem.out.println(\\\"\\\");\\n\\t\\t}\\n\\t\\t\\n int big = Integer.MIN_VALUE;\\n int secondBig = Integer.MIN_VALUE;\\n Set<Map.Entry<Integer,Node>> entrySet = solution.map.entrySet();\\n for(Map.Entry<Integer,Node> entry :entrySet){\\n int rank = entry.getValue().rank;\\n if(big < rank){\\n secondBig = big;\\n \\tbig = rank;\\n \\n }else if(secondBig < rank ){\\n \\tsecondBig = rank;\\n }\\n /*if(rank > 1){\\n \\tif(secondBig > rank){\\n secondBig = rank;\\n }\\n }*/\\n \\n }\\n try {\\n\\t\\t\\tBufferedWriter bufferedWriter1 = new BufferedWriter(new FileWriter(\\\"D:\\\\\\\\Notes\\\\\\\\component_result.txt\\\"));\\n\\t\\t\\tentrySet = solution.map.entrySet();\\n\\t\\t\\t\\n\\t for(Map.Entry<Integer,Node> entry :entrySet){\\n\\t int rank = entry.getValue().rank;\\n\\t if(rank!=1){\\n\\t \\tbufferedWriter1.write(String.valueOf(entry.getValue().id)+ \\\" rank = \\\" + String.valueOf(entry.getValue().rank));\\n\\t\\t bufferedWriter1.newLine();\\n\\t }\\n\\t \\n\\t }\\n\\t bufferedWriter1.flush();\\n\\t bufferedWriter1.close();\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n \\n int result[] = new int[2];\\n \\n if(big >1)\\n result[0] = big;\\n if(secondBig > 1)\\n result[1] = secondBig;\\n \\n System.out.println(\\\"Max = \\\"+ big);\\n System.out.println(\\\"Min = \\\"+ secondBig);\\n \\n return result;\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"03a1d33867a5cd7adbe8cf62f85a9718\",\n \"score\": \"0.5536754\",\n \"text\": \"protected Integer compute() {\\n StringBuffer message = new StringBuffer();\\n message.append(\\\"Thread Name:\\\" + Thread.currentThread().getName() + \\\"= \\\");\\n for (int item : this.numbers) {\\n message.append(item + \\\", \\\");\\n }\\n System.out.println(message);\\n if (this.numbers.length > 5) {\\n SumTask left = new SumTask(Arrays.copyOfRange(this.numbers, 0, this.numbers.length / 2));\\n SumTask right = new SumTask(Arrays.copyOfRange(this.numbers, this.numbers.length / 2, this.numbers.length));\\n left.fork(); // this will again call compute\\n right.fork();// this will again call compute\\n return left.join() + right.join();\\n } else {\\n return IntStream.of(this.numbers).sum();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99546ed5d81902221cbb83913caa1c6e\",\n \"score\": \"0.5521563\",\n \"text\": \"@Override\\r\\n \\tpublic double wait(NodeSection CallingSection) throws jmt.common.exception.NetException {\\r\\n \\t\\t// Gets number of jobs in the station as the sum of job in queue and job under service\\r\\n \\t\\ttry {\\r\\n \\t\\t\\t// Number of jobs into service section\\r\\n\\t\\t\\tint jobs = CallingSection.getOwnerNode().getIntNodeProperty(NodeSection.PROPERTY_ID_RESIDENT_JOBS);\\r\\n \\r\\n \\t\\t\\t// Search in cache for corresponding item\\r\\n \\t\\t\\tMeanCache item = (MeanCache) cache.get(jobs);\\r\\n \\t\\t\\tif (item == null) {\\r\\n \\t\\t\\t\\t// Item is not in cache, so retrives right LDParameter and perform parsing of function\\r\\n \\t\\t\\t\\tint index = Arrays.binarySearch(parameters, new Integer(jobs));\\r\\n \\t\\t\\t\\tif (index < 0) {\\r\\n \\t\\t\\t\\t\\tindex = -index - 2;\\r\\n \\t\\t\\t\\t}\\r\\n \\t\\t\\t\\tLDParameter parameter = parameters[index];\\r\\n \\t\\t\\t\\titem = new MeanCache(parameter, jobs);\\r\\n \\t\\t\\t\\tcache.set(jobs, item);\\r\\n \\t\\t\\t}\\r\\n \\t\\t\\t// At this point item is retrived from cache or parsed.\\r\\n \\t\\t\\tif (item.meanValid) {\\r\\n \\t\\t\\t\\titem.parameter.setMean(item.mean); // Note: this is needed as parameter is shared amongs all items of the same LDParameter\\r\\n \\t\\t\\t}\\r\\n \\r\\n \\t\\t\\treturn item.distribution.nextRand(item.parameter);\\r\\n \\r\\n \\t\\t} catch (NetException e) {\\r\\n \\t\\t\\tthrow new NetException(\\\"Error in LoadDependentStrategy: Cannot get number of jobs into current station\\\");\\r\\n \\t\\t} catch (IncorrectDistributionParameterException ex) {\\r\\n \\t\\t\\tthrow new NetException(ex.getMessage());\\r\\n \\t\\t}\\r\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1c1c232bcf53363c019847b5242f1005\",\n \"score\": \"0.55198276\",\n \"text\": \"public int getTotalJobs();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44971a727247562c1ee13a606bf6f66c\",\n \"score\": \"0.5465631\",\n \"text\": \"public double find_density()\\n{ double density=0.0;\\n double tweight=0.0;\\n double n=ProteinChain.size();\\n for (Protein ProteinChain1 : ProteinChain) \\n { double pweight=0.0;\\n for(Node tempNode:ProteinChain1.neighbours)\\n {pweight=pweight++;\\n }\\n tweight=tweight+pweight;\\n\\n }\\n density= tweight/(n*(n-1));\\n return density;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f998bd0374682f8f9f82c62130413cad\",\n \"score\": \"0.5453887\",\n \"text\": \"private double[] getClassDistribution(myC45 node) {\\n double [] dist = new double[node.dataset.numClasses()];\\n Enumeration instEnum = node.dataset.enumerateInstances();\\n while (instEnum.hasMoreElements()) {\\n Instance inst = (Instance) instEnum.nextElement();\\n dist[(int) inst.classValue()]++;\\n }\\n Utils.normalize(dist);\\n return dist;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"13f5d63f4035c836c085570eaf047019\",\n \"score\": \"0.53901565\",\n \"text\": \"@Override\\n protected Integer compute(){\\n if (high - low > SEQUENCIAL_CUTOFF){\\n SumHoursCalculator left = new SumHoursCalculator(\\n trees, low, (high + low)/2\\n );\\n SumHoursCalculator right = new SumHoursCalculator(\\n trees, (high + low)/2, high\\n );\\n\\n right.fork();\\n int leftAns = left.compute();\\n int rightAns = 0;\\n try{\\n rightAns = right.join();\\n } catch(RuntimeException e){\\n System.out.println(e);\\n }\\n return leftAns + rightAns;\\n\\n }else{\\n int sum = 0;\\n for (int i = low; i < high; i++)\\n sum += trees[i].sunlight;\\n return sum;\\n } \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c7836032a5aa1e48ab723de77ef27bfd\",\n \"score\": \"0.5378121\",\n \"text\": \"int getNumberOfNodes();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bb7c6737e462e28501343d862d736210\",\n \"score\": \"0.53726035\",\n \"text\": \"int getNumSubpartitions();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"542c842fb9d81434b51daefe75e863d4\",\n \"score\": \"0.5340461\",\n \"text\": \"private void getPosteriorDistributionsID() {\\n NodeList notRemoved;\\n Node x;\\n RelationList rLtemp;\\n Relation valueRel;\\n PairTable pt = null;\\n int i, j, s;\\n Vector vars = null;\\n String operation;\\n String base;\\n boolean combined;\\n\\n if (generateDebugInformation == true) {\\n System.out.println(\\\"Entrando a metodo getPosteriorDistributionsID\\\");\\n }\\n\\n // Initializes the crono\\n crono.start();\\n\\n // First at all, remove all results stored in results vector\\n results.removeAllElements();\\n\\n // Insert in notRemoved all not observed nodes\\n notRemoved = getNotObservedNodes();\\n\\n // Make a pair table\\n pt = new PairTable((IDiagram) network, observations);\\n\\n // Consider the impact of observations on relations\\n restrictCurrentRelationsToObservations();\\n\\n if (generateStatistics == true) {\\n // Note down the data about the beginning of the evaluation\\n statistics.addOperation(\\\"Start of evaluation: \\\");\\n statistics.addSize(currentRelations.sumSizes());\\n statistics.addTime(crono.getTime());\\n }\\n\\n // Loop to eliminate the variables\\n\\n for (i = notRemoved.size(); i > 0; i--) {\\n\\n // Select next variable to remove\\n\\n x = pt.nextToRemoveID();\\n\\n if (generateStatistics == true) {\\n // Store the operation\\n\\n statistics.addOperation(\\\"Variable elimination: \\\" + x.getName());\\n }\\n\\n // Delete this node of notRemoved and pairTable\\n\\n notRemoved.removeNode(x);\\n pt.removeVariable((FiniteStates) x);\\n\\n // Combine the potentials of this node\\n\\n if (generateDebugInformation == true) {\\n System.out.println(\\\"Variable a eliminar: \\\" + x.getName());\\n }\\n\\n if (x.getKindOfNode() == Node.CHANCE) {\\n\\n if (generateDebugInformation == true) {\\n System.out.println(\\\"A eliminar nodo de azar\\\");\\n }\\n\\n combinePotentialsToRemoveChanceNode((FiniteStates) x, pt);\\n } else {\\n if (x.getKindOfNode() == Node.DECISION) {\\n\\n if (generateDebugInformation == true) {\\n System.out.println(\\\"A eliminar nodo de decision\\\");\\n }\\n\\n combinePotentialsToRemoveDecisionNode((FiniteStates) x, pt);\\n }\\n }\\n\\n if (generateStatistics == true) {\\n // Store the size of the diagram at this moment\\n\\n statistics.addSize(currentRelations.sumSizes());\\n statistics.addTime(crono.getTime());\\n }\\n } // end for\\n\\n // Finally prints the data about the evaluation\\n\\n if (generateStatistics == true) {\\n\\n // Sets the number of milliseconds needed to evaluate\\n\\n statistics.setTime(crono.getTime());\\n\\n // Generate the file with the statistics measures\\n\\n try {\\n statistics.printOperationsAndSizes();\\n } catch (IOException e) {\\n }\\n ;\\n }\\n\\n //Althoug generateStatistics can be false, the final expected utility must be\\n //stored in order to be showed in the inference panel.\\n for (i = 0; i < currentRelations.size(); i++) {\\n valueRel = (Relation) currentRelations.elementAt(i);\\n if (valueRel.getKind() == Relation.UTILITY) {\\n statistics.setFinalExpectedUtility(valueRel.getValues());\\n break;\\n }\\n }\\n\\n // View the time needed to solve the IDiagram\\n\\n crono.viewTime();\\n\\n if (generateDebugInformation == true) {\\n System.out.println(\\\"Saliendo de metodo getPosteriorDistributionsID\\\");\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ab196d68ad473c534ac78b32fcec776\",\n \"score\": \"0.5333414\",\n \"text\": \"private static void pageRankJob(Configuration conf, int iterationNo, \\n\\t\\t\\tString initialPath) {\\n\\n\\t\\ttry {\\t\\t\\n\\t\\t\\tJob job;\\n\\t\\t\\tjob = Job.getInstance(conf, \\\"PageRankEvaluation\\\");\\n\\t\\t\\tjob.setJarByClass(Driver.class);\\n\\t\\t\\tjob.setMapperClass(PageRankMapper.class);\\n\\t\\t\\tjob.setReducerClass(PageRankReducer.class);\\n\\t\\t\\tjob.setMapOutputKeyClass(Text.class);\\n\\t\\t\\tjob.setMapOutputValueClass(EmitMultiValueWritable.class);\\n\\t\\t\\tjob.setOutputKeyClass(Text.class);\\n\\t\\t\\tjob.setOutputValueClass(NullWritable.class);\\n\\n\\t\\t\\tStringBuilder inputPath = new StringBuilder(initialPath + \\\"_\\\" + iterationNo);\\n\\t\\t\\tStringBuilder outputPath = new StringBuilder(initialPath + \\\"_\\\" + (iterationNo+1));\\n\\t\\t\\tFileInputFormat.addInputPath(job, new Path(inputPath.toString()));\\n\\t\\t\\tFileOutputFormat.setOutputPath(job, new Path(outputPath.toString()));\\n\\t\\t\\t\\n\\t\\t\\tboolean isSecondJobComplete = job.waitForCompletion(true);\\n\\t\\t\\tif(!isSecondJobComplete) {\\n\\t\\t\\t\\tthrow new Exception(\\\"Page Rank failed\\\");\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t//Counters configured to the dangling nodes factor in each iteration\\n\\t\\t\\tCounters counters = job.getCounters();\\n\\t\\t\\tLong danglingPageRankLV = counters.findCounter(DanglingCounter.DANGLING_NODE_MASS).getValue();\\n//\\t\\t\\tDouble danglingPageRank = Double.longBitsToDouble(danglingPageRankLV);\\n\\t\\t\\tconf.setLong(\\\"danglingPageRank\\\", danglingPageRankLV);\\n\\t\\t\\t\\n\\t\\t\\tLong totalPageRankLV = counters.findCounter(DanglingCounter.TOTAL_PAGE_RANK).getValue();\\n\\t\\t\\tDouble totalPageRankDouble = Double.longBitsToDouble(totalPageRankLV);\\n\\t\\t\\tSystem.out.println(\\\"Total page rank in iteration \\\" + iterationNo + \\\"=\\\" + totalPageRankDouble);\\n\\t\\t\\t\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t} catch (ClassNotFoundException e) {\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\te.printStackTrace();\\n\\t\\t} catch (InterruptedException e) {\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\te.printStackTrace();\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58a7818da72b9e279c8740f1af926ff0\",\n \"score\": \"0.5323558\",\n \"text\": \"public static HashMap<String,Integer> kCoreExtractionUpdated(DocGraph dg)\\n\\t{\\n\\t\\tHashMap<String,Integer> nodesCores=new HashMap<String,Integer>();\\n\\t\\tint core=0;\\n\\t\\tdo\\n\\t\\t{\\n\\t\\t\\tcore=core+1;\\t\\n\\t//\\t\\tSystem.out.println(\\\"Peeling nodes at core:\\\"+core);\\n\\t\\t\\tArrayList<String> peeled=corePeelOff(dg,core);\\n\\t\\t\\t\\n\\t\\t\\tfor(int i=0;i<peeled.size();i++)\\n\\t\\t\\t{\\tnodesCores.put(peeled.get(i),core);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t} while(dg.Nodes.size()!=0); // stop when all nodes are peeled off\\n\\t\\t\\n\\t\\t//System.out.println(\\\"Final Core is \\\"+ Integer.toString(core-1));\\n\\t\\n\\t\\treturn nodesCores;\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a0982339b5ee774936e60a445a150512\",\n \"score\": \"0.5310132\",\n \"text\": \"int diameter()\\r\\n {\\r\\n int diam = N-1; //initialization\\r\\n bfs(0);\\r\\n int node1 = last;\\r\\n bfs(node1);\\r\\n int node2 = last;\\r\\n int dist = distance(node1,node2);\\r\\n \\r\\n return dist;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62d39988f74cc1d3dd05b649200173b1\",\n \"score\": \"0.5290707\",\n \"text\": \"VariableAmount getAttemptsPerCluster();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bec27472020ad58770d3d0c4b802cef3\",\n \"score\": \"0.52611685\",\n \"text\": \"public HashMap<Integer, HashSet<MyNode>> findCommunities(int numCommunities){\\n\\n// List<Graph> result = new LinkedList<Graph>();\\n\\n //compute betweenness of all edges\\n //for each node do a bfs\\n int count = 0;\\n// int innerCount = 0;\\n Set<Integer> allNodeKeys = nodes.keySet();\\n int size = allNodeKeys.size();\\n int totalPermutations = size;\\n int significantWork = (int) (totalPermutations/10000);\\n LocalDateTime startTime = LocalDateTime.now();\\n\\n for (Integer start : allNodeKeys) {\\n\\n //track & display progress\\n count++;\\n if (count % significantWork == 0) {\\n displayProgress(count, totalPermutations, startTime);\\n }\\n if(count % 100 == 0){\\n System.out.println(\\\"Starting bfs for \\\" + count + \\\"th node: from \\\" + start);\\n }\\n\\n //do work\\n HashMap<Integer, ArrayList<MyNode>> parent = bfs(start);//doing BFS with no goal. stops when out of nodes.\\n\\n for(Integer end : allNodeKeys){//now we reconstruct from all nodes back to start\\n MyNode endNode = nodes.get(end);\\n if (start != end && endNode.getStepReached() > 0){//stepReached == -1 mean there is no path (is set in the bfs)\\n// innerCount++;\\n\\n ArrayList<LinkedList<MyNode>> shortestPaths = reconstructPaths(start, end, endNode.getStepReached(), parent);\\n calculateFlow(shortestPaths);\\n }\\n }\\n }\\n\\n System.out.println(\\\"Sorting edges...\\\");\\n LinkedList<Entry<SimpleEdge, Double>> sortedEdges = sortByFlow(flow);\\n System.out.println(\\\"Finding Communities\\\");\\n\\n HashMap<Integer, HashSet<MyNode>> result = divideInCommunities(numCommunities, sortedEdges);\\n\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9b946a7f17b741101decde7968ae789b\",\n \"score\": \"0.5251509\",\n \"text\": \"@Override\\n public int run(String[] args) throws ClassNotFoundException, IOException, InterruptedException {\\n\\n if (args.length < 3) {\\n System.err.printf(\\\"Usage: hadoop jar PageRank-jar-with-dependencies.jar <transition directory> \\\" +\\n \\\" <PR directory> <times of convergence>\\\" +\\n \\\" [generic options]\\\\n\\\",\\n getClass().getSimpleName());\\n ToolRunner.printGenericCommandUsage(System.err);\\n return -1;\\n }\\n\\n String transitionMatrix = args[0];\\n String prMatrix = args[1];\\n //String subPRMatrix = args[2]; //first mapreduce job's output\\n int count = Integer.parseInt(args[2]); //times of convergence\\n\\n final int normalTermination = 0;\\n int status = normalTermination;\\n\\n // after several loop, get the convergence\\n for (int i = 0; i < count; i++) {\\n\\n // first MapReduce job， prMatrix+i is the directory of each PRn, subPRMatrix + i is the output of first MR\\n status = cellMultiplicationJob(transitionMatrix, prMatrix, i);\\n\\n // if mapreduce terminates abnormally, quit immediately.\\n if (status != normalTermination) {\\n /** TODO whether stopping mapreduce job when one of Mapreduce job terminates abnormally? */\\n break;\\n }\\n\\n // second MapReduce job: prMatrix is the directory prefix of pr beta Map. For example: SumUpJob(0,/pagerank)\\n status = SumUpJob(i, prMatrix);\\n\\n // if mapreduce terminates abnormally, quit immediately.\\n if (status != normalTermination) {\\n /** TODO whether stopping mapreduce job when one of Mapreduce job terminates abnormally? */\\n break;\\n }\\n }\\n\\n return status;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22686bfe983046644b2bb49349c3177b\",\n \"score\": \"0.52468836\",\n \"text\": \"public double getMaximumNoOfIterations()\\n {\\n return m_Clusterer.getMaximumNoOfIterations();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"76c3e81cdf851f93984cb636a84fb2b9\",\n \"score\": \"0.52443093\",\n \"text\": \"public double[] compute(int iterations) {\\n Arrays.fill(pageRank, 1.0);\\n for (int i = 0; i < iterations; i++) {\\n nodeIterator.forEachNode(this);\\n }\\n return pageRank;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f64f67a22f99c9ca7682635e776d17de\",\n \"score\": \"0.52325195\",\n \"text\": \"public static void main(String[] args) throws Exception {\\n\\t\\tif(args.length != 8) {\\n\\t\\t\\tSystem.out.println(args.length);\\n\\t\\t\\tthrow new IllegalArgumentException(\\\"Arguments expected- input output partition intersecting_partition merge_output epsilon minPnts dataset\\\"\\n\\t\\t\\t\\t\\t);\\n\\t\\t}\\n\\t\\tConfiguration conf = new Configuration();\\n\\t\\tDistributedCache.addCacheFile(new Path(args[2]).toUri(), conf);\\n\\t\\tconf.set(\\\"epsilon\\\",args[5]);\\n\\t\\tconf.set(\\\"minPnts\\\",args[6]);\\n\\t\\tconf.set(\\\"dataset\\\", args[7]);\\n\\t\\t//int partitionCount=getPartititionCount(args[2], conf);\\n\\t\\tint partitionCount=1599;\\n\\t\\tJob job = Job.getInstance(conf, \\\"Partition\\\");\\n\\t\\tjob.setJarByClass(driver.PartitionCountDriver.class);\\n\\t\\t// TODO: specify a mapper\\n\\t\\tjob.setMapperClass(PartitionCount.class);\\n\\t\\t// TODO: specify a reducer\\n\\t\\tjob.setReducerClass(Cluster.class);\\n\\t\\t// TODO: specify output types\\n\\t\\tjob.setMapOutputKeyClass(LongWritable.class);\\n\\t\\tjob.setMapOutputValueClass(Text.class);\\n\\t\\tjob.setOutputKeyClass(Text.class);\\n\\t\\tjob.setOutputValueClass(Text.class);\\n\\t\\t//set the Multiple outputs\\n\\t\\tfor(int i=0;i<partitionCount;i++) {\\n\\t\\t\\tMultipleOutputs.addNamedOutput(job, \\\"output\\\"+i, TextOutputFormat.class, Text.class, Text.class);\\n\\t\\t\\tMultipleOutputs.addNamedOutput(job, \\\"AP\\\"+i, TextOutputFormat.class, Text.class, Text.class);\\n\\t\\t\\tMultipleOutputs.addNamedOutput(job, \\\"BP\\\"+i, TextOutputFormat.class, Text.class, Text.class);\\n\\t\\t}\\n\\t\\t// TODO: specify input and output DIRECTORIES (not files)\\n\\t\\tFileInputFormat.setInputPaths(job, new Path(args[0]));\\n\\t\\tFileOutputFormat.setOutputPath(job, new Path(args[1]));\\n\\n\\t\\tif (job.waitForCompletion(true)) {\\n\\t\\t\\tConfiguration conf2 = new Configuration();\\n\\t\\t\\t//FileSystem fs = FileSystem.get(conf2);\\n\\t\\t\\t//addOutput(fs,new Path(args[1]) , conf2);\\n\\t\\t\\tconf2.set(\\\"outputPath\\\", args[1]);\\n\\t\\t\\tJob job2 = Job.getInstance(conf2, \\\"Merging\\\");\\n\\t\\t\\tjob2.setJarByClass(driver.PartitionCountDriver.class);\\n\\t\\t\\t// TODO: specify a mapper\\n\\t\\t\\tjob2.setMapperClass(MergeMapper.class);\\n\\t\\t\\t// TODO: specify a reducer\\n\\t\\t\\tjob2.setReducerClass(Merge.class);\\n\\t\\t\\t// TODO: specify output types\\n\\t\\t\\tjob2.setMapOutputKeyClass(NullWritable.class);\\n\\t\\t\\tjob2.setMapOutputValueClass(Text.class);\\n\\t\\t\\tjob2.setOutputKeyClass(Text.class);\\n\\t\\t\\tjob2.setOutputValueClass(Text.class);\\n\\t\\t\\tjob2.setOutputFormatClass(TextOutputFormat.class);\\n\\t\\t\\t\\n\\t\\t\\t// TODO: specify input and output DIRECTORIES (not files)\\n\\t\\t\\tFileInputFormat.setInputPaths(job2, new Path(args[3]));\\n\\t\\t\\tFileOutputFormat.setOutputPath(job2, new Path(args[4]));\\n\\t\\t\\tif (!job2.waitForCompletion(true)) {\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ab1bb6e363013897c2e04b1181c3541c\",\n \"score\": \"0.5211745\",\n \"text\": \"int getJobsCount();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"499738e386b06d9208f84757cd081551\",\n \"score\": \"0.5210612\",\n \"text\": \"public int getNodesGenerated();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a88c16c80ba706bfc51e891cee1fa93d\",\n \"score\": \"0.52090645\",\n \"text\": \"public static void main(String[] args) throws IOException \\n\\t{\\n\\t\\t\\n\\t\\tReader.init(System.in); \\n\\t\\tint N=Reader.nextInt();\\n\\t\\tint d=Reader.nextInt();\\n\\t\\t\\n\\t\\tint[][] adjmatrix=new int[N+1][N+1];\\n\\t\\tint[] visited=new int[N+1];\\n\\t\\t//int vis=0;\\n\\t\\tfor(int i=0;i<d;i++)\\n\\t\\t{\\n\\t\\t\\t int r=Reader.nextInt();\\n\\t\\t\\t int c=Reader.nextInt();\\n\\t\\t\\t\\tadjmatrix[r][c]=1;\\n\\t\\t\\t visited[r]=1;visited[c]=1;\\n\\t\\t\\t // flagged all the visited nodes.\\n\\t\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\tnode[] vertices=new node[N+1];\\n\\t\\tint[] indegree=new int[N+1];\\n\\t\\tint[] indeg=new int[N+1];\\n\\t\\tfor(int i=1;i<N+1;i++)\\n\\t\\t{\\n\\t\\t\\tfor(int j=1;j<N+1;j++)\\n\\t\\t\\t{\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif(adjmatrix[j][i]==1)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tindegree[i]++;\\n\\t\\t\\t\\t\\tindeg[i]++;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t}\\n\\tint count=0;\\t\\n\\tfor(int i=1;i<N+1;i++){\\n\\t\\tif(visited[i]!=0)\\n\\t\\t{\\n\\t\\t\\tcount=count+1;\\n\\t\\tvertices[i]=new node(i);\\n\\t\\tSystem.out.println(vertices[i].data);\\n\\t\\t}\\n\\t\\t\\n\\t}\\n\\t\\n\\tTasks obj=new Tasks(N,adjmatrix,indegree,vertices,visited,count);\\n\\tint cycle=obj.TopoSort();\\n\\t//System.out.println(cycle);\\n\\tif(cycle==0){\\n\\t\\tfor(int i=1;i<N+1;i++)\\n\\t\\t{\\n\\t\\t\\t//System.out.print(indeg[i]+\\\" \\\");\\n\\t\\t\\tif(indeg[i]==0 && visited[i]!=0)\\n\\t\\t\\tSystem.out.print(i+\\\" \\\");\\n\\t\\t}\\n\\t\\t\\n\\t}\\n\\telse{\\n\\t\\tSystem.out.println(cycle);\\n\\t}\\n\\t\\n\\t\\t\\n\\t\\t\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c4f0a56271e235efc40ee86ad9430ed\",\n \"score\": \"0.52055913\",\n \"text\": \"public static void main(String[] args) throws InterruptedException { \\n //Use topology matrix to set the network topology. \\n //Use 1 if the node is the master and -1 if it is the slave\\n double [][] adjacencyMatrix = { { 0, 1, 0, 0, -1},\\n {-1, 0, 1, 0, 0},\\n {0, -1, 0, 1, 0},\\n {0, 0, -1, 0, 1},\\n {1, 0, 0, -1, 0}\\n }; \\n \\n double [] initNodeValues = {9,9,9,9,9}; //specify the initial value of the nodes \\n double epsilon = 0.25; //specify the value of epsilon \\n double epsilon2 = 0.001; //set epsilon value for deltaP in ICC\\n //using same values as paper\\n //double [] alpha = {561, 310,78,561,78};\\n double [] beta = {7.92, 7.85,7.8,7.92,7.8}; //set beta value for ICC\\n double [] gamma = {0.001562,0.00194,0.00482,0.001562,0.00482}; //set gamma value for ICC\\n \\n //check if the network topology contains rings or multiple slave connections\\n if (checkTopology(adjacencyMatrix, rootNode)){ \\n \\n //initialize some of the matrices that will be used in \\n // the distributed Algorithm class\\n distAlgo.initialize(numNodes);\\n \\n // create a perron matrix based on the adjacency matrix \\n // and the epsilon value\\n distAlgo.createWeightMatrix(adjacencyMatrix, epsilon);\\n \\n //initialize the nodes\\n initNodes(adjacencyMatrix, rootNode, initNodeValues); \\n \\n //synchronize the network\\n \\n //boolean networkStatus = NOT_OK;\\n debugMessage(\\\"BEFORE SYNC\\\",1000);\\n if (isRootNode){\\n while(!commChannels[0].connected){\\n delay(200);\\n }\\n }\\n \\n debugMessage(\\\"START SYNC\\\",3000); \\n clock.synchronizeNetwork(); \\n \\n //start a thread for each active channel\\n for (int i=0;i<NUMCHANNELS;i++){\\n if (activeNeighbor[i]){\\n if (i == 0 && isRootNode){\\n delay(50);\\n }else{\\n commChannels[i].start();\\n delay(50);\\n }\\n debugMessage(\\\"Ch\\\" + i + \\\" started\\\",0,3,1000); \\n }\\n } \\n //perform average consensus\\n distAlgo.LFICC(epsilon2, beta, gamma); \\n \\n boolean commStatus = true; \\n //wait for all connections to stop communicating\\n while(commStatus){\\n commStatus = isCommunicating(); \\n delay(5); \\n } \\n //save and close\\n saveAndClose();\\n }\\n debugMessage(\\\"Exiting\\\"); \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d72082be026341b1656b932f315ed958\",\n \"score\": \"0.5196054\",\n \"text\": \"private int maxComputationalTime() {\\n int sum = 0;\\n for(GraphNode task : _taskInfo.values()) {\\n sum += task.getWeight();\\n }\\n return sum / _numProcTask;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"830d150348bb0d257fa1c4a5c90c676d\",\n \"score\": \"0.5193804\",\n \"text\": \"public int getNbNodes()\\n\\t{\\n\\t\\treturn stats.getNbNodes();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d294abe11e1530e27c7a9ef9e161968\",\n \"score\": \"0.518897\",\n \"text\": \"int getNumPartitions();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d294abe11e1530e27c7a9ef9e161968\",\n \"score\": \"0.518897\",\n \"text\": \"int getNumPartitions();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b45e0f22b173126d8a9f45c256a3ade7\",\n \"score\": \"0.5183687\",\n \"text\": \"public static int totalJobCost() {\\n\\t\\tint sum = 0;\\n\\t\\tfor (int nums : costArray) {\\n\\t\\t\\tsum += nums;\\n\\t\\t}\\n\\t\\treturn sum;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91e5a5edc44ecfc1cd0b5f1b02859959\",\n \"score\": \"0.51786846\",\n \"text\": \"private double runPR(BunchGraph g1, BunchGraph g2)\\r\\n/* 29: */ {\\r\\n/* 30:383 */ double result = 0.0D;\\r\\n/* 31:384 */ this.combinationsConsidered = 0L;\\r\\n/* 32:385 */ this.matchingCombinations = 0L;\\r\\n/* 33: */ \\r\\n/* 34:387 */ Iterator clusterList = g1.getClusters().iterator();\\r\\n/* 35:388 */ while (clusterList.hasNext())\\r\\n/* 36: */ {\\r\\n/* 37:390 */ BunchCluster bc = (BunchCluster)clusterList.next();\\r\\n/* 38:391 */ processCluster(bc, g2);\\r\\n/* 39: */ }\\r\\n/* 40:394 */ result = this.matchingCombinations / this.combinationsConsidered;\\r\\n/* 41: */ \\r\\n/* 42:396 */ return result;\\r\\n/* 43: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fe5523908cd43b842495a390931135ec\",\n \"score\": \"0.5172151\",\n \"text\": \"private double calcNodeEntropy(ArrayList<Data> data2) {\\n\\t\\treturn 0;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa40c5db370c76296c960dc1a0c492bd\",\n \"score\": \"0.5172133\",\n \"text\": \"public int run( String[] args) throws Exception {\\n\\t\\t\\t\\tJob InvIn = Job.getInstance(getConf(), \\\"invertedindex\\\");\\n\\t\\t\\t\\tInvIn.setJarByClass(this.getClass());\\n\\t\\t\\t\\tFileInputFormat.addInputPaths(InvIn, args[0]);\\n\\t\\t\\t\\tFileOutputFormat.setOutputPath(InvIn, new Path(\\\"InvertedIndexOutput\\\"));\\n\\t\\t\\t\\tInvIn.setMapperClass(InvertedIndexMap.class);\\n\\t\\t\\t\\tInvIn.setReducerClass(InvertedIndexReduce.class);\\n\\t\\t\\t\\tInvIn.setOutputKeyClass(Text.class);\\n\\t\\t\\t\\tInvIn.setOutputValueClass(Text.class);\\n\\t\\t\\t\\tInvIn.waitForCompletion(true);\\n\\t\\t\\t\\t\\n\\t\\t\\n\\t\\t// count_n is the job to calculate the value of N\\n\\t\\tFileSystem fs = FileSystem.get(getConf());\\n\\t\\tJob count_n = Job.getInstance(getConf(), \\\"valueofn\\\");\\n\\t\\tcount_n.setJarByClass( this.getClass());\\n\\t\\tFileInputFormat.addInputPaths(count_n, args[0]);\\n\\t\\tFileOutputFormat.setOutputPath(count_n, new Path(\\\"Node\\\"));\\n\\t\\tcount_n.setMapperClass( MapCount.class);\\n\\t\\tcount_n.setReducerClass( ReduceCount.class);\\n\\t\\tcount_n.setMapOutputValueClass(IntWritable.class);\\n\\t\\tcount_n.setOutputKeyClass( Text.class);\\n\\t\\tcount_n.setOutputValueClass(IntWritable.class);\\n\\t\\tcount_n.waitForCompletion(true);\\n\\t\\tfs.delete(new Path(\\\"Node\\\"), true);\\n\\t\\t\\n\\t\\t// N value is calculated\\n\\t\\tlong value_n;\\n\\t\\tvalue_n = count_n.getCounters().findCounter(\\\"Outputn\\\", \\\"Outputn\\\").getValue();\\n\\t\\t\\n\\t\\t// job_parse is the job for parsing the file \\n\\t\\tJob job_parse = Job.getInstance(getConf(), \\\"Parsing\\\");\\n\\t\\tjob_parse.setJarByClass(this.getClass());\\n\\t\\tjob_parse.getConfiguration().setStrings(\\\"VALUE_OF_N\\\", value_n + \\\"\\\");\\n\\t\\tjob_parse.setMapperClass(FirstParseMap.class);\\n\\t\\tjob_parse.setReducerClass(FirstParseReduce.class);\\n\\t\\tjob_parse.setInputFormatClass(TextInputFormat.class);\\n\\t\\tjob_parse.setOutputFormatClass(TextOutputFormat.class);\\n\\t\\tjob_parse.setOutputKeyClass(Text.class);\\n\\t\\tjob_parse.setOutputValueClass(Text.class);\\n\\t\\t\\n\\t\\tFileInputFormat.setInputPaths(job_parse, new Path(args[0]));\\n\\t\\tFileOutputFormat.setOutputPath(job_parse, new Path(args[1]+\\\"Job0\\\"));\\n\\t\\t\\n\\t\\t\\n\\t\\tjob_parse.waitForCompletion(true);\\n\\t\\t\\n\\n\\t\\t// job_pagerank is the job for calculating pagerank iteratively\\n\\t\\tint i = 0;\\n\\t\\tfor(i=0 ; i < 10 ; i++) {\\n\\t\\t\\t\\n\\t\\t\\tJob job_pagerank = Job.getInstance(getConf(), \\\"PageRank\\\");\\n\\t\\t\\tjob_pagerank.setJarByClass(this.getClass());\\n\\t\\t\\tjob_pagerank.setMapperClass(PageRankMap.class);\\n\\t\\t\\tjob_pagerank.setReducerClass(PageRankReduce.class);\\n\\t\\t\\tjob_pagerank.setOutputKeyClass(Text.class);\\n\\t\\t\\tjob_pagerank.setOutputValueClass(Text.class);\\n\\t\\t\\tjob_pagerank.setInputFormatClass(TextInputFormat.class);\\n\\t\\t\\tjob_pagerank.setOutputFormatClass(TextOutputFormat.class);\\n\\t\\t\\t\\n\\t\\t\\tFileInputFormat.setInputPaths(job_pagerank, args[1]+\\\"Job\\\"+i);\\n\\t\\t\\tFileOutputFormat.setOutputPath(job_pagerank, new Path(args[1]+\\\"Job\\\"+(i + 1)));\\n\\t\\t\\tjob_pagerank.waitForCompletion(true);\\n\\t\\t\\t\\n\\t\\t\\t//deleting intermediate files\\n\\t\\t\\tFileSystem fs1 = FileSystem.get(getConf());\\n\\t\\t\\tfs1.delete(new Path(args[1]+\\\"Job\\\"+i), true); \\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t}\\n\\n\\t\\t// job_cleanup is the job for cleanup and sorting\\n\\t\\tJob job_cleanup = Job.getInstance(getConf(), \\\"CleanAndSort\\\");\\n\\t\\tjob_cleanup.setJarByClass(this.getClass());\\n\\t\\tjob_cleanup.setMapperClass(CleanSortMap.class);\\n\\t\\tjob_cleanup.setReducerClass(CleanSortReduce.class);\\n\\t\\tjob_cleanup.setNumReduceTasks(1);//to set the reducer to 1\\n\\t\\tjob_cleanup.setMapOutputValueClass(Text.class);\\n\\t\\tjob_cleanup.setMapOutputKeyClass(DoubleWritable.class);\\n\\t\\tjob_cleanup.setOutputKeyClass(Text.class);\\n\\t\\tjob_cleanup.setOutputValueClass(Text.class);\\n\\t\\tjob_cleanup.setInputFormatClass(TextInputFormat.class);\\n\\t\\tjob_cleanup.setOutputFormatClass(TextOutputFormat.class);\\n\\t\\t\\n\\t\\tjob_cleanup.setSortComparatorClass(DoubleComparator.class);//Define the comparator that controls how the keys are sorted before they are passed to the Reducer.\\n\\t\\t\\n\\t\\tFileInputFormat.setInputPaths(job_cleanup, args[1]+ \\\"Job\\\"+ i);\\n\\t\\tFileOutputFormat.setOutputPath(job_cleanup, new Path(\\\"Final_Output\\\")); //creates Final_Output\\n\\t\\t\\n\\t\\t\\n\\t\\treturn job_cleanup.waitForCompletion(true) ? 0 : 1;\\n\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c36d578bacd77e2f1837184540e443ee\",\n \"score\": \"0.5154597\",\n \"text\": \"int getNodesCount();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a9390a2622e823c96f08c291a2aa9df1\",\n \"score\": \"0.51495755\",\n \"text\": \"public List<Integer> taskDistribution() {\\n List<Integer> counter = new ArrayList<>();\\n counter.add(0);\\n counter.add(0);\\n counter.add(0);\\n for (Task task: this.list) {\\n if (task instanceof ToDo) {\\n counter.set(0, counter.get(0) + 1);\\n } else if (task instanceof Deadline) {\\n counter.set(1, counter.get(1) + 1);\\n } else if (task instanceof Event) {\\n counter.set(2, counter.get(2) + 1);\\n }\\n }\\n return counter;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f0451e265455aa1673e525833be525e\",\n \"score\": \"0.5133391\",\n \"text\": \"public int numNodes();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"426ce1c4b696293aea7e5516b985791f\",\n \"score\": \"0.5130735\",\n \"text\": \"public int run(final String[] args) throws Exception {\\n if (args.length != 11) {\\n return printUsage();\\n }\\n int i;\\n\\n edge_path = new Path(args[0]);\\n curbm_path = new Path(args[1]);\\n tempbm_path = new Path(args[2]);\\n nextbm_path = new Path(args[3]);\\n output_path = new Path(args[4]);\\n curbm_unfold_path = new Path(\\\"concmpt_curbm\\\");\\n summaryout_path = new Path(\\\"concmpt_summaryout\\\");\\n number_nodes = Long.parseLong(args[5]);\\n nreducers = Integer.parseInt(args[6]);\\n\\n if (args[7].compareTo(\\\"fast\\\") == 0)\\n recursive_diagmult = 1;\\n else\\n recursive_diagmult = 0;\\n\\n block_width = Integer.parseInt(args[8]);\\n\\n max_convergence = Integer.parseInt(args[9]);\\n if (max_convergence < 0)\\n max_convergence = 0;\\n max_iters = Integer.parseInt(args[10]);\\n if (max_iters < 0 || max_iters > MAX_ITERATIONS)\\n max_iters = MAX_ITERATIONS;\\n\\n System.out.println(\\\"\\\\n-----===[PEGASUS: A Peta-Scale Graph Mining System]===-----\\\\n\\\");\\n System.out.println(\\\"[PEGASUS] Computing connected component using block method. Reducers = \\\" + nreducers + \\\", block_width = \\\" + block_width);\\n\\n local_output_path = args[4] + \\\"_temp\\\";\\n\\n // Iteratively calculate neighborhood function.\\n for (i = cur_radius; i < MAX_ITERATIONS; i++) {\\n cur_radius++;\\n iter_counter++;\\n\\n JobClient.runJob(configStage1());\\n JobClient.runJob(configStage2());\\n JobClient.runJob(configStage3());\\n\\n FileUtil.fullyDelete(FileSystem.getLocal(getConf()), new Path(local_output_path));\\n\\n final FileSystem fs = FileSystem.get(getConf());\\n\\n // copy neighborhood information from HDFS to local disk, and read it!\\n String new_path = local_output_path + \\\"/\\\" + i;\\n fs.copyToLocalFile(output_path, new Path(new_path));\\n ResultInfo ri = ConCmpt.readIterationOutput(new_path);\\n\\n changed_nodes[iter_counter] = ri.changed;\\n unchanged_nodes[iter_counter] = ri.unchanged;\\n\\n System.out.println(\\\"Hop \\\" + i + \\\" : changed = \\\" + ri.changed + \\\", unchanged = \\\" + ri.unchanged);\\n\\n // Stop when the minimum neighborhood doesn't change\\n if (ri.changed <= max_convergence || i >= max_iters) {\\n System.out.printf(\\\"Converging with %d active vertices (%d max for convergence) after %d iterations (%d max).\\\\n\\\", ri.changed, max_convergence, i, max_iters);\\n System.out.println(\\\"Finishing...\\\");\\n fs.delete(curbm_path);\\n fs.delete(tempbm_path);\\n fs.delete(output_path);\\n fs.rename(nextbm_path, curbm_path);\\n\\n System.out.println(\\\"Unfolding the block structure for easy lookup...\\\");\\n JobClient.runJob(configStage4());\\n\\n break;\\n }\\n\\n // rotate directory\\n fs.delete(curbm_path);\\n fs.delete(tempbm_path);\\n fs.delete(output_path);\\n fs.rename(nextbm_path, curbm_path);\\n }\\n\\n FileUtil.fullyDelete(FileSystem.getLocal(getConf()), new Path(local_output_path));\\n\\n // calculate summary information using an additional pass\\n System.out.println(\\\"Summarizing connected components information...\\\");\\n JobClient.runJob(configStage5());\\n\\n // finishing.\\n System.out.println(\\\"\\\\n[PEGASUS] Connected component computed.\\\");\\n System.out.println(\\\"[PEGASUS] Total Iteration = \\\" + iter_counter);\\n System.out.println(\\\"[PEGASUS] Connected component information is saved in the HDFS concmpt_curbm as\\\\n\\\\\\\"node_id\\t'msf'component_id\\\\\\\" format\\\");\\n System.out.println(\\\"[PEGASUS] Connected component distribution is saved in the HDFS concmpt_summaryout as\\\\n\\\\\\\"component_id\\tnumber_of_nodes\\\\\\\" format.\\\\n\\\");\\n\\n BufferedWriter writer = null;\\n try {\\n writer = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(\\\"num_iters\\\"), \\\"utf-8\\\"));\\n writer.write(Integer.toString(iter_counter));\\n writer.newLine();\\n } catch (IOException e) {\\n System.err.println(\\\"[PEGASUS] Failed to write number of iterations to localfile\\\");\\n } finally {\\n try {\\n writer.close();\\n } catch (Exception e) {}\\n\\t}\\n\\n return 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23fa24c449ce500275a13ea2acfc9be8\",\n \"score\": \"0.5120114\",\n \"text\": \"private int getNumWorkersGatheringMinerals() {\\n int numWorkers = 0;\\n for (Unit unit : self.getUnits()) {\\n if (unit.isGatheringMinerals()) {\\n numWorkers++;\\n }\\n }\\n return numWorkers;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f56e7fe4c4e9b671ba73f2d67878b26d\",\n \"score\": \"0.5115521\",\n \"text\": \"public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {\\n\\n Configuration conf = new Configuration();\\n\\n Path input = new Path(\\\"hdfs://localhost:9000/user/venkat/chain/word2.txt\\\");\\n\\n Path output = new Path(\\\"hdfs://localhost:9000/user/venkat/chain/output\\\");\\n\\n Job job = new Job(conf, \\\"first Job\\\");\\n\\n job.setJarByClass(WordCountDriver.class);\\n\\n ChainMapper.addMapper(job,\\n WordCountMapper.class,\\n LongWritable.class,\\n Text.class,\\n Text.class,\\n IntWritable.class,\\n conf\\n );\\n\\n ChainMapper.addMapper(job,\\n WordCountMapper2.class,\\n Text.class,\\n IntWritable.class,\\n Text.class,\\n IntWritable.class,\\n conf\\n );\\n\\n ChainReducer.setReducer(job,\\n WordCountReducer.class,\\n Text.class,\\n IntWritable.class,\\n Text.class,\\n IntWritable.class,\\n conf\\n );\\n\\n FileInputFormat.addInputPath(job,input);\\n FileOutputFormat.setOutputPath(job, new Path(output +\\\"_job1\\\"));\\n\\n output.getFileSystem(job.getConfiguration()).delete(new Path(output+\\\"_job1\\\"), true);\\n\\n if(!job.waitForCompletion(true) ){\\n System.out.println(\\\"Error completing first job \\\");\\n System.exit(1);\\n }\\n\\n //Second Job\\n\\n Configuration conf2 = new Configuration();\\n Job job2 = new Job(conf2, \\\"Chain job2\\\");\\n job2.setJarByClass(WordCountDriver.class);\\n\\n job2.setMapperClass(Job2Mapper.class);\\n job2.setReducerClass(Job2Reducer.class);\\n\\n job2.setOutputKeyClass(Text.class);\\n job2.setOutputValueClass(IntWritable.class);\\n\\n /* Set input path: Read from from first one's output path*/\\n\\n FileInputFormat.addInputPath(job2, new Path(output +\\\"_job1/part-r-00000\\\"));\\n FileOutputFormat.setOutputPath(job2, output);\\n output.getFileSystem(job2.getConfiguration()).delete(output,true);\\n\\n job2.waitForCompletion(true);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c06602b25363bf026f3d635dbd0fc714\",\n \"score\": \"0.51091224\",\n \"text\": \"public double getWork(){\\n\\t\\treturn 0;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"769f282ed7b166b8ac08f493b20f0ff6\",\n \"score\": \"0.5084229\",\n \"text\": \"private double messageDistribution( Node node, LabelledDataTable table,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tDataTable.Record datum)\\n\\t{\\n\\t\\tdouble probOfDatum = 0.0;\\n\\n\\t\\tVariable var = node.getVar();\\n\\t\\tFunction1V[] msgChildren = node.getMsgArrayChildren();\\n\\n\\t\\t// combine all incoming messages and the potential associated\\n\\t\\t// with this node-clique\\n\\t\\tFunction1V combineMsgChildren =\\t node.getCombinedMsgChildren();\\n\\n\\t\\tif ( !node.hasParent() ) // if node is the root\\n\\t\\t{\\n\\t\\t\\t// obsorb evidence\\n\\t\\t\\tFunction1V prior = node.getPriorProb();\\n\\t\\t\\tFunction1V evidence =\\n\\t\\t\\t\\t\\t\\tFunction1V.characteristic( node.getVar(),\\n\\t\\t\\t\\t\\t\\t\\t\\t\\ttable.classLabelOfRecord( datum ));\\n\\t\\t\\tprior.multiply( evidence );\\n\\n\\t\\t\\tprior.multiply( combineMsgChildren);\\n\\t\\t\\tprobOfDatum = node.getPriorProb().getTotal();\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tnode.getCondProb().multiply( combineMsgChildren);\\n\\t\\t\\tnode.getCondProb().multiply( node.getMsgParent() );\\n\\t\\t}\\n\\n\\t\\t// send message to children cliques. The message is a function\\n\\t\\t// of node.getVar()!!!\\n\\t\\tif ( node.hasChildren() )\\n\\t\\t{\\n\\t\\t\\tNode.List children = node.getChildren();\\n\\t\\t\\tint n = children.size();\\n\\t\\t\\tfor (int i=0; i<n; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tNode child = children.getNode( i );\\n\\n\\t\\t\\t\\t// the root clique is a special clique.\\n\\t\\t\\t\\t// sending messages to its children cliques does\\n\\t\\t\\t\\t// not require marginalization\\n\\t\\t\\t\\tif ( !node.hasParent() )\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t// message to child[i] = combined message /\\n\\t\\t\\t\\t\\t// \\t\\t\\t\\t\\tmsg from child[i]\\n\\t\\t\\t\\t\\tFunction1V msg2Child = node.getPriorProb().copy();\\n\\n\\t\\t\\t\\t\\tmsg2Child.divide( msgChildren[i] );\\n\\n\\t\\t\\t\\t\\tchild.setMsgParent( msg2Child );\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t// message to child[i] = \\\\sum_node combined message /\\n\\t\\t\\t\\t\\t// \\t\\t\\t\\t\\tmsg from child[i]\\n\\t\\t\\t\\t\\tFunction1V msg2Child = node.getCondProb().marginalizeOut(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t node.getParent().getVar() );\\n\\n\\t\\t\\t\\t\\tmsg2Child.divide( msgChildren[i] );\\n\\n\\n\\t\\t\\t\\t\\tchild.setMsgParent( msg2Child );\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// recursive call\\n\\t\\t\\t\\tmessageDistribution( child, table, datum );\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn probOfDatum;\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6304488f233c97d6074c8792e2f79321\",\n \"score\": \"0.50802493\",\n \"text\": \"public int getDegreeInFriendship(Consumer consumer) {\\n ArrayList<Consumer> visited = new ArrayList<>();\\n Queue<Consumer> queue = new LinkedList<>();\\n //Dictionar care retine gradul de prietenie cu toti prietenii consumer-ului curent\\n // [Consumer = grad]\\n HashMap<Consumer, Integer> degrees = new HashMap<>();\\n visited.add(this);\\n queue.add(this);\\n degrees.put(this, 0);\\n while (queue.size() != 0) {\\n Consumer current = queue.poll();\\n for (Consumer c : current.cunoscuti) {\\n if (!visited.contains(c)) {\\n visited.add(c);\\n queue.add(c);\\n degrees.put(c, degrees.get(current) + 1);\\n }\\n }\\n }\\n //Daca dictionarul de grade contine consumer-ul dat ca paramteru\\n //atunci returnez valoarea lui din dictionar\\n if (degrees.containsKey(consumer))\\n return degrees.get(consumer);\\n else\\n return 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87ae0dae1663943adb9f5997e1828b0d\",\n \"score\": \"0.5078999\",\n \"text\": \"private void computeNodeOfGateCone() {\\n\\t\\tfor (String gateDetail : detailedGates) {\\n\\t\\t\\tString gate = gateDetail.split(\\\" \\\", 2)[1].split(\\\"\\\\\\\\(\\\", 2)[0].trim();\\n\\t\\t\\tList<String> faninNodes = new ArrayList<String>();\\n\\t\\t\\tif (faninGatesOfGate.keySet().contains(gate)) {\\n\\t\\t\\t\\tfor (String faninGate : faninGatesOfGate.get(gate)) {\\n\\t\\t\\t\\t\\tfor (String faninPort : inNodeOfGate.get(faninGate)) {\\n\\t\\t\\t\\t\\t\\tif (!faninNodes.contains(faninPort)) {\\n\\t\\t\\t\\t\\t\\t\\tfaninNodes.add(faninPort);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tfaninNodes = inNodeOfGate.get(gate);\\n\\t\\t\\t}\\n\\t\\t\\tfaninNodeOfGate.put(gate, faninNodes);\\n\\t\\t}\\n\\t\\tfor (String gateDetail : detailedGates) {\\n\\t\\t\\tString gate = gateDetail.split(\\\" \\\", 2)[1].split(\\\"\\\\\\\\(\\\", 2)[0].trim();\\n\\t\\t\\tList<String> fanoutNodes = new ArrayList<String>();\\n\\t\\t\\tif (fanoutGatesOfGate.keySet().contains(gate)) {\\n\\t\\t\\t\\tfor (String fanoutGate : fanoutGatesOfGate.get(gate)) {\\n\\t\\t\\t\\t\\tfor (String fanoutPort : outNodeOfGate.get(fanoutGate)) {\\n\\t\\t\\t\\t\\t\\tif (!fanoutNodes.contains(fanoutPort)) {\\n\\t\\t\\t\\t\\t\\t\\tfanoutNodes.add(fanoutPort);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tfanoutNodes = outNodeOfGate.get(gate);\\n\\t\\t\\t}\\n\\t\\t\\tfanoutNodeOfGate.put(gate, fanoutNodes);\\n\\t\\t}\\n\\t\\t/* Part D ends */\\n\\t\\t\\n\\t\\tif (debug) {\\n\\t\\t\\tSystem.out.println(\\\"Part D successfully done.\\\");\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\n\\t\\tfor (String output : outputPorts) {\\n\\t\\t\\tArrayList<String> lastStepGate = new ArrayList<String>();\\n\\t\\t\\tfor (String line : detailedGates) {\\n\\t\\t\\t\\tif (line.contains(output)){\\n\\t\\t\\t\\t\\tlastStepGate.add(line.trim().split(\\\" \\\",2)[1].split(\\\"\\\\\\\\(\\\",2)[0].trim());\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tArrayList<String> tempo = new ArrayList<String>();\\n\\t\\t\\tfor (String lastGate : lastStepGate) {\\n\\t\\t\\t\\tfor (String gate : faninGatesOfGate.get(lastGate)) {\\n\\t\\t\\t\\t\\tif (!tempo.contains(gate)){\\n\\t\\t\\t\\t\\t\\ttempo.add(gate);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tfaninGatesOfOutPorts.put(output, tempo);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b00179895c0c4e4062d176457b9048ee\",\n \"score\": \"0.5074472\",\n \"text\": \"@Override\\r\\n\\tpublic NNResult compute() {\\n\\t\\t\\r\\n\\t\\tdouble distanceBestSoFar = Double.POSITIVE_INFINITY;\\r\\n\\t\\tint bestSoFarTid = -1;\\r\\n\\t\\tNNResult result;\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\tdouble maxMovedistance = (this.interval/1000) * (this.n - 1) * maxSpeed;\\r\\n\\t\\t\\r\\n\\t\\tHashMap<Integer, Double> seekedGrid;\\r\\n\\t\\tArrayList<Integer> waitingList;\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\tint xGrid = (int)((x - this.xcentroid)/this.xlength);\\r\\n\\t\\tint yGrid = (int)((y - this.ycentroid)/this.ylength);\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\tfor (int i = this.sf; i < this.ef; i++){\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tif(!dfl.containIframeByFID(i)){\\r\\n\\t\\t\\t\\tcontinue;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tseekedGrid = new HashMap<Integer, Double>();\\r\\n\\t\\t\\twaitingList = new ArrayList<Integer>();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tint startGrid = this.buildIndexCode(xGrid, yGrid);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\twaitingList.add(startGrid);\\r\\n\\t\\t\\tseekedGrid.put(startGrid, 0.0);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\twhile(!waitingList.isEmpty()){\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tint searchGrid = waitingList.remove(0);\\r\\n\\t\\t\\t\\tArrayList<Integer> iframePointIndex = this.gindex.getPointArray(i, searchGrid);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t//search\\r\\n\\t\\t\\t\\tif (iframePointIndex != null){\\r\\n\\t\\t\\t\\t\\tArrayList<IFramePoint> fpl = dfl.getIFrameByFID(i).getPoints();\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\tfor (int findex : iframePointIndex){\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tIFramePoint fp = fpl.get(findex);\\r\\n\\t\\t\\t\\t\\t\\tdouble distance = commonMethods.Distance.getDistance(x, y, fp.getX(), fp.getY());\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tif (distance < distanceBestSoFar){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\tint pSlot = (i - 1)*(this.n - 1);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\tdistanceBestSoFar = distance;\\r\\n\\t\\t\\t\\t\\t\\t\\tbestSoFarTid = fp.getTid();\\r\\n\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\tfor (int j = 1; j < this.n; j++){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tint shiftingCode = dfl.getPFrameByPID(pSlot + j).getPointByPID(findex);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tshort dx = (short) (shiftingCode >> 16);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tshort dy = (short) (shiftingCode & 0xFFFF);\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tif (dx == Short.MAX_VALUE && dy == Short.MIN_VALUE){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tcontinue;\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdouble px = fp.getX() + ((double)(dx)/1000000);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdouble py = fp.getY() + ((double)(dy)/1000000);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdouble pDistance = commonMethods.Distance.getDistance(x, y, px, py);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tif (pDistance < distanceBestSoFar){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tdistanceBestSoFar = pDistance;\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tbestSoFarTid = fp.getTid();\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t}\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t}else if ((distance + maxMovedistance)< distanceBestSoFar){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\tint pSlot = (i - 1)*(this.n - 1);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\tfor (int j = 1; j < this.n; j++){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tint shiftingCode = dfl.getPFrameByPID(pSlot + j).getPointByPID(findex);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tshort dx = (short) (shiftingCode >> 16);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tshort dy = (short) (shiftingCode & 0xFFFF);\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tif (dx == Short.MAX_VALUE && dy == Short.MIN_VALUE){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tcontinue;\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdouble px = fp.getX() + ((double)(dx)/1000000);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdouble py = fp.getY() + ((double)(dy)/1000000);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tdouble pDistance = commonMethods.Distance.getDistance(x, y, px, py);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tif (pDistance < distanceBestSoFar){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tdistanceBestSoFar = pDistance;\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tbestSoFarTid = fp.getTid();\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t}else{\\r\\n\\t\\t\\t\\t\\t\\t\\t//continue;\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t//put other grid/s into waiting list, if it better than best so far\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tint searchx = searchGrid >> 16;\\r\\n\\t\\t\\t\\tint searchy = searchGrid & 0xFFFF;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tdouble searchGridXBottomLeft = this.xcentroid + searchx*this.xlength;\\r\\n\\t\\t\\t\\tdouble searchGridYBottomLeft = this.ycentroid + searchy*this.ylength;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tdouble searchGridXTopLeft = searchGridXBottomLeft;\\r\\n\\t\\t\\t\\tdouble searchGridYTopLeft = this.ycentroid + (searchy + 1)*this.ylength;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tdouble searchGridXTopRight = this.xcentroid + (searchx + 1)*this.xlength;\\r\\n\\t\\t\\t\\tdouble searchGridYTopRight = this.ycentroid + (searchy + 1)*this.ylength;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tdouble searchGridXBottomRight = this.xcentroid + (searchx + 1)*this.xlength;;\\r\\n\\t\\t\\t\\tdouble searchGridYBottomRight = searchGridYBottomLeft;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tdouble d1 = commonMethods.Distance.getDistance(x, y, searchGridXBottomLeft, searchGridYBottomLeft);\\r\\n\\t\\t\\t\\tdouble d3 = commonMethods.Distance.getDistance(x, y, searchGridXTopLeft, searchGridYTopLeft);\\r\\n\\t\\t\\t\\tdouble d5 = commonMethods.Distance.getDistance(x, y, searchGridXTopRight, searchGridYTopRight);\\r\\n\\t\\t\\t\\tdouble d7 = commonMethods.Distance.getDistance(x, y, searchGridXBottomRight, searchGridYBottomRight);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tdouble d2 = commonMethods.Distance.calculateLineDistance(x, y, searchGridXBottomLeft, searchGridYBottomLeft, searchGridXTopLeft, searchGridYTopLeft);\\r\\n\\t\\t\\t\\tdouble d4 = commonMethods.Distance.calculateLineDistance(x, y, searchGridXTopLeft, searchGridYTopLeft, searchGridXTopRight, searchGridYTopRight);\\r\\n\\t\\t\\t\\tdouble d6 = commonMethods.Distance.calculateLineDistance(x, y, searchGridXTopRight, searchGridYTopRight, searchGridXBottomRight, searchGridYBottomRight);\\r\\n\\t\\t\\t\\tdouble d8 = commonMethods.Distance.calculateLineDistance(x, y, searchGridXBottomRight, searchGridYBottomRight, searchGridXBottomLeft, searchGridYBottomLeft);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tint indexcode;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t//double bestDistance;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t//System.out.println(\\\"best dis is \\\" + maxMovedistance);\\r\\n\\t\\t\\t\\tif (d1 - distanceBestSoFar <= maxMovedistance){\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx - 1, searchy - 1);\\r\\n\\t\\t\\t\\t\\tif ((searchx - 1) >= 0 && (searchy - 1) >= 0){\\r\\n\\t\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\t\\twaitingList.add(indexcode);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d1);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}else{\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx - 1, searchy - 1);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d1);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (d2 - distanceBestSoFar <= maxMovedistance){\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx - 1, searchy);\\r\\n\\t\\t\\t\\t\\tif ((searchx - 1) >= 0 ){\\r\\n\\t\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\t\\twaitingList.add(indexcode);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d2);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}else{\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx - 1, searchy);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d2);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (d3 - distanceBestSoFar <= maxMovedistance){\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx - 1, searchy + 1);\\r\\n\\t\\t\\t\\t\\tif ((searchx - 1) >= 0 ){\\r\\n\\t\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\t\\twaitingList.add(indexcode);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d3);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}else{\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx - 1, searchy + 1);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d3);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (d4 - distanceBestSoFar <= maxMovedistance){\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx, searchy + 1);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\twaitingList.add(indexcode);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d4);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}else{\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx , searchy + 1);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d4);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (d5 - distanceBestSoFar <= maxMovedistance){\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx + 1, searchy + 1);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\twaitingList.add(indexcode);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d5);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}else{\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx + 1 , searchy + 1);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d5);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (d6 - distanceBestSoFar <= maxMovedistance){\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx + 1, searchy);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\twaitingList.add(indexcode);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d6);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}else{\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx + 1 , searchy);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d6);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (d7 - distanceBestSoFar <= maxMovedistance){\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx + 1, searchy - 1);\\r\\n\\t\\t\\t\\t\\tif ((searchy - 1) >= 0 ){\\r\\n\\t\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\t\\twaitingList.add(indexcode);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d7);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}else{\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx + 1, searchy - 1);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d7);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (d8 - distanceBestSoFar <= maxMovedistance){\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx, searchy - 1);\\r\\n\\t\\t\\t\\t\\tif ((searchy - 1) >= 0 ){\\r\\n\\t\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\t\\twaitingList.add(indexcode);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d8);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}else{\\r\\n\\t\\t\\t\\t\\tindexcode = this.buildIndexCode(searchx, searchy - 1);\\r\\n\\t\\t\\t\\t\\tif (!seekedGrid.containsKey(indexcode)){\\r\\n\\t\\t\\t\\t\\t\\tseekedGrid.put(indexcode, d8);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tresult = new NNResult(distanceBestSoFar, bestSoFarTid);\\r\\n\\t\\t\\r\\n\\t\\t//System.out.println(\\\"tid is \\\" + bestSoFarTid);\\r\\n\\t\\t//System.out.println(\\\"distance is \\\" + distanceBestSoFar);\\r\\n\\t\\t//return this.selectOneRecordByTID(0);\\r\\n\\t\\treturn result;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"145b76aed5431e2422cdd038c7b7df00\",\n \"score\": \"0.50701034\",\n \"text\": \"private void caculationPerform() {\\n\\t\\tgetSelectedNodes(); \\r\\n\\t\\tfindSub = new FindSubGraph(chosenN, network);\\r\\n\\t\\tEdgesManage edgeMng = new EdgesManage(findSub);\\r\\n\\t\\tKMAlgorithm opt = new KMAlgorithm(findSub);\\r\\n\\t\\tlong optassig = opt.km();\\r\\n\\t\\t//exam the matching result\\r\\n\\t\\tfor(int i = 0; i < opt.yN.length; ++i){\\r\\n\\t\\t\\tint startNode = i+1;//findSub.nameMapSubNet.get(i+1);\\r\\n\\t\\t\\tint endNode = opt.yN[i]+1;//findSub.nameMapSubNet.get(opt.yN[i]+1);\\r\\n\\t\\t\\tif(!(findSub.edgesSub.containsKey(startNode) && findSub.edgesSub.get(startNode).contains(endNode))){\\r\\n\\t\\t\\t\\tSteeringNode.add(findSub.nameMapSubNet.get(endNode)); \\t\\t\\t\\t\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\tCalculation getResult = new Calculation(opt);\\r\\n//\\t\\tint sourceCircleNum = getResult.findSouceCircle();\\t\\r\\n\\t\\tint sourceCircleNum = getResult.findT();\\r\\n\\t\\tfor(Node nodeI : nodes){\\r\\n\\t\\t\\tif(SteeringNode.contains(network.nodeKeyMap.get(nodeI))){ \\r\\n\\t\\t\\t\\tnodeI.setSST(true);\\r\\n\\t\\t\\t\\tcyNetwork.getRow(nodeI.getN()).set(\\\"SteeringNodesForStateTransition\\\", true);\\r\\n\\t\\t\\t}else{\\r\\n\\t\\t\\t\\tnodeI.setSST(false);\\r\\n\\t\\t\\t\\tcyNetwork.getRow(nodeI.getN()).set(\\\"SteeringNodesForStateTransition\\\", false); \\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tint r = (int) (optassig / 100000);\\r\\n\\t\\tint s= (int) (optassig % 10000);\\r\\n\\t\\tint gdcs = r + s;\\r\\n\\t\\tint numSteeringNode = s +sourceCircleNum;\\r\\n\\r\\n\\t\\r\\n\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e809e5d7db5982447ad1d1a0d0e61839\",\n \"score\": \"0.50646454\",\n \"text\": \"private int explore(Double[] datapoint, double[][] clusterCenters, Double[] pheromones){\\n int maximizingCluster = 0;\\n double currentMaximumProb = -1;\\n for(int clusterProbsIter = 0 ; clusterProbsIter < clusterCenters.length; clusterProbsIter++){\\n double denom = 0;\\n for(int clusterIter = 0; clusterIter < pheromones.length; clusterIter++){\\n denom += (pheromones[clusterIter] * Math.pow(this.distanceFromCluster(datapoint, clusterCenters[clusterProbsIter]), this.relativeWeight));\\n }\\n double clusterProb = (pheromones[clusterProbsIter] * Math.pow(this.distanceFromCluster(datapoint, clusterCenters[clusterProbsIter]), this.relativeWeight)) / denom;\\n if(clusterProb > currentMaximumProb){\\n currentMaximumProb = clusterProb;\\n maximizingCluster = clusterProbsIter;\\n }\\n }\\n return maximizingCluster;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"90f37d0f258aca5a92980abb09e5ca0c\",\n \"score\": \"0.50609833\",\n \"text\": \"void doCountProbabilitiesForInternal(NodeData node, NodeData u1, NodeData u2, Double [] coalescenceRate, boolean dprint)throws Exception {\\n//\\t\\tint n1 = u1.m_n;\\n//\\t\\tint n2 = u2.m_n;\\n\\t\\tint n1 = u1.getSize();\\n\\t\\tint n2 = u2.getSize();\\n\\t\\tint n = n1+n2;\\n\\t\\tnode.resize(n);\\n\\n\\n\\t\\tdouble g1 = coalescenceRate[u1.getNr()];//u1.gamma();\\n\\t\\tdouble g2 = coalescenceRate[u2.getNr()];//u2.gamma();\\n\\t\\tdouble t1 = u1.t();\\n\\t\\tdouble t2 = u2.t();\\n\\n\\n//\\t\\tu1.m_Nt = computeTavareProbs(g1*t1, u1.m_Nb);\\n//\\t\\tu2.m_Nt = computeTavareProbs(g2*t2, u2.m_Nb);\\n\\n//\\t\\tif( dprint ) {\\n//\\t\\t\\tdouble sum = 0.0;\\n//\\t\\t\\tSystem.out.println(\\\"g1,t1 \\\" + g1 + \\\" \\\" + t1 + \\\" g2,t2 \\\" + g2 + \\\" \\\" + t2);\\n//\\t\\t\\tsum = 0.0;\\tfor (int i = 0; i < u1.m_Nb.length; i++) {sum += u1.m_Nb[i];}\\n//\\t\\t\\tSystem.out.println(u1.getNr() + \\\" u1.Nb \\\" + u1.m_Nb.length + \\\" sum=\\\"+sum + \\\" \\\" + Arrays.toString(u1.m_Nb)); \\n//\\t\\t\\tsum = 0.0;\\tfor (int i = 0; i < u1.m_Nt.length; i++) {sum += u1.m_Nt[i];}\\n//\\t\\t\\tSystem.out.println(u1.getNr() + \\\" u1.Nt \\\" + u1.m_Nt.length + \\\" sum=\\\"+sum + \\\" \\\" + Arrays.toString(u1.m_Nt));\\n//\\t\\t\\tsum = 0.0;\\tfor (int i = 0; i < u2.m_Nb.length; i++) {sum += u2.m_Nb[i];}\\n//\\t\\t\\tSystem.out.println(u2.getNr() + \\\" u2.Nb \\\" + u2.m_Nb.length + \\\" sum=\\\"+sum + \\\" \\\" + Arrays.toString(u2.m_Nb));\\n//\\t\\t\\tsum = 0.0;\\tfor (int i = 0; i < u2.m_Nt.length; i++) {sum += u2.m_Nt[i];}\\n//\\t\\t\\tSystem.out.println(u2.getNr() + \\\" u2.Nt \\\" + u2.m_Nt.length + \\\" sum=\\\"+sum + \\\" \\\" + Arrays.toString(u2.m_Nt)); \\n//\\t\\t}\\n\\n\\t\\t//std::fill(Nb.begin(), Nb.end(), 0.0);\\n\\t\\t//node.Nb = new double[n1+n2+1];\\n//\\t\\tfor(int i1 = 1;i1<=n1;i1++) {\\n//\\t\\t\\tfor(int i2 = 1;i2<=n2;i2++) {\\n//\\t\\t\\t\\tnode.m_Nb[i1+i2] += u1.m_Nt[i1]*u2.m_Nt[i2];\\n//\\t\\t\\t}\\n//\\t\\t}\\n//\\t\\tif( dprint ) {\\n//\\t\\t\\tdouble sum = 0.0;for (int i = 0; i < node.m_Nb.length; i++) {sum += node.m_Nb[i];}\\n//\\t\\t\\tSystem.out.println(node.getNr() + \\\" node.Nb \\\" + node.m_Nb.length + \\\" sum=\\\"+sum + \\\" \\\" + Arrays.toString(node.m_Nb));\\n//\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b2f47dbb124b8685aaac4f0391fb0b9c\",\n \"score\": \"0.5049986\",\n \"text\": \"public void run() {\\n\\t\\tPopulation population = new Population(population_size);\\r\\n\\r\\n\\t\\t// Determine fitness for each child in population\\r\\n\\t\\tfor (int i = 0; i < population_size; i++) {\\r\\n\\t\\t\\tIndividual child = population.getIndividual(i);\\r\\n\\t\\t\\tdouble fitness = (double) evaluation_.evaluate(child.genome);\\r\\n\\r\\n\\t\\t\\tchild.setFitness(fitness);\\r\\n\\t\\t\\tevals++;\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// Sort algorithm that sorts the children on fitness from min to max.\\r\\n\\t\\tpopulation.sort(population_size);\\r\\n\\r\\n\\r\\n\\t\\tCluster clusters = new Cluster(num_of_clusters);\\r\\n\\t\\tif (use_k_means){\\r\\n\\t\\t\\tclusters.cluster_convergence(population);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// Cluster cluster = new Cluster(num_of_clusters);\\r\\n\\r\\n\\r\\n\\t\\t// // Initialize random individuals that function as the initial cluster means\\r\\n\\t\\t// double clusters[][] = create_population(num_of_clusters);\\r\\n\\t\\t// cluster_count_array = new int[num_of_clusters];\\r\\n\\t\\t// for (int i = 0; i < num_of_clusters; i++){\\r\\n\\t\\t// \\tcluster_count_array[i] = 0;\\r\\n\\t\\t// }\\r\\n\\t\\t//\\r\\n\\t\\t// if (use_k_means){\\r\\n\\t\\t//\\r\\n\\t\\t// \\t\\t\\t// Arange population to clusters\\r\\n\\t\\t// \\t\\t\\tint max_cluster_iterations = 10;\\r\\n\\t\\t// \\t\\t\\tint iterations_counter = 0;\\r\\n\\t\\t// \\t\\t\\tint correction_counter;\\r\\n\\t\\t// \\t\\t\\tdo {\\r\\n\\t\\t// \\t\\t\\t\\titerations_counter++;\\r\\n\\t\\t// \\t\\t\\t\\t// Create copy of clusters\\r\\n\\t\\t// \\t\\t\\t\\tdouble[][] clusters_clone = new double[num_of_clusters][10];\\r\\n\\t\\t// \\t\\t\\t\\tfor (int i = 0; i < num_of_clusters; i++){\\r\\n\\t\\t// \\t\\t\\t\\t\\tclusters_clone[i] = Arrays.copyOf(clusters[i],clusters[i].length);\\r\\n\\t\\t// \\t\\t\\t\\t}\\r\\n\\t\\t// \\t\\t\\t\\t// Arange all individuals of population to a certain cluster\\r\\n\\t\\t// \\t\\t\\t\\tsurvival_chances = arange_children_to_clusters(population, survival_chances, clusters);\\r\\n\\t\\t// \\t\\t\\t\\t// Rearange clusters by recalculating the mean\\r\\n\\t\\t// \\t\\t\\t\\tclusters = rearrange_clusters(population, survival_chances, clusters);\\r\\n\\t\\t//\\r\\n\\t\\t//\\r\\n\\t\\t// \\t\\t\\t\\tSystem.out.println(Arrays.toString(clusters[0]));\\r\\n\\t\\t// \\t\\t\\t\\tSystem.out.println(Arrays.toString(clusters_clone[0]));\\r\\n\\t\\t// \\t\\t\\t\\tSystem.out.println(\\\"\\\\n\\\");\\r\\n\\t\\t//\\r\\n\\t\\t// \\t\\t\\t\\tcorrection_counter = 0;\\r\\n\\t\\t// \\t\\t\\t\\tfor (int i = 0; i < num_of_clusters; i++){\\r\\n\\t\\t// \\t\\t\\t\\t\\tif (Arrays.equals(clusters_clone[i],clusters[i])){\\r\\n\\t\\t// \\t\\t\\t\\t\\t\\tcorrection_counter++;\\r\\n\\t\\t// \\t\\t\\t\\t\\t}\\r\\n\\t\\t// \\t\\t\\t\\t}\\r\\n\\t\\t// \\t\\t\\t} while (iterations_counter < max_cluster_iterations || correction_counter != num_of_clusters);\\r\\n\\t\\t// \\t\\t}\\r\\n\\r\\n\\t\\twhile (evals < evaluations_limit_) {\\r\\n\\r\\n\\t\\t\\tIndividual old_best_person = population.getIndividual(population_size - 1);\\r\\n\\r\\n\\t\\t\\t// Select who are going to be parents.\\r\\n\\t\\t\\tPopulation parents = population.tournament_selection(amount_parents, population_size, tournament_size, clusters);\\r\\n\\r\\n\\t\\t\\t// Guarantee that the best individual reproduces\\r\\n\\t\\t\\t// parents[parents.length-1] = sorted_survival_chances[sorted_survival_chances.length-1];\\r\\n\\t\\t\\tSystem.out.println(parents.pop_size);\\r\\n\\t\\t\\tparents.getIndividual(0).getCluster();\\r\\n\\t\\t\\tif (use_k_means) {\\r\\n\\t\\t\\t\\tif (mutate_big) {\\r\\n\\t\\t\\t\\t\\tRandom random = new Random();\\r\\n\\t\\t\\t\\t\\tint r = random.nextInt(num_of_clusters-1)+1;\\r\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"randomised\\\");\\r\\n\\t\\t\\t\\t\\tSystem.out.println(r);\\r\\n\\t\\t\\t\\t\\tint parents_counter = 0;\\r\\n\\t\\t\\t\\t\\tfor (int i = 0; i < population.pop_size; i++) {\\r\\n\\t\\t\\t\\t\\t\\tif(population.getIndividual(i).getCluster() == r){\\r\\n\\t\\t\\t\\t\\t\\t\\tSystem.out.println(parents.pop_size);\\r\\n\\t\\t\\t\\t\\t\\t\\tparents.setIndividual(parents_counter, population.getIndividual(i));\\r\\n\\t\\t\\t\\t\\t\\t\\tparents_counter++;\\r\\n\\t\\t\\t\\t\\t\\t\\tif(parents_counter > parents.pop_size){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tparents_counter = 0;\\r\\n\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t// Increase cluster counts with a punishment to speed up the neighbourhood exploration proces.\\r\\n\\t\\t\\t\\t\\tclusters.cluster_count_array[r] = clusters.cluster_count_array[r] + 2*parents.pop_size;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\r\\n\\t\\t\\tPopulation new_children = new Population(amount_parents);\\r\\n\\r\\n\\t\\t\\tif (multiple_parents) {\\r\\n\\t\\t\\t\\tnew_children = create_children_from_multiple_parents(parents, amount_parents);\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tnew_children = create_n_children(parents, amount_parents);\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\tif (mutate_big) {\\r\\n\\t\\t\\t\\tdouble chance = get_random_double(0, 1);\\r\\n\\t\\t\\t\\tif (chance < 0.5) {\\r\\n\\t\\t\\t\\t\\tnew_children = inversion_mutation(new_children);\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\tnew_children = insertion_mutation(new_children);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tnew_children = small_mutation(new_children, num_of_mutations);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tpopulation.replace_worst(new_children, multiple_parents, amount_parents);\\r\\n\\t\\t\\t// population = survivor_selection(sorted_survival_chances, population, new_children);\\r\\n\\r\\n\\t\\t\\t// Score new_children\\r\\n\\t\\t\\tfor (int i = 0; i < amount_parents; i ++) {\\r\\n\\t\\t\\t\\tIndividual child = new_children.getIndividual(i);\\r\\n\\t\\t\\t\\tdouble fitness = (double) evaluation_.evaluate(child.genome);\\r\\n\\t\\t\\t\\tchild.setFitness(fitness);\\r\\n\\t\\t\\t\\tevals++;\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t// Sort population\\r\\n\\t\\t\\tpopulation.sort(population_size);\\r\\n\\r\\n\\t\\t\\tIndividual new_best_person = population.getIndividual(population_size - 1);\\r\\n\\r\\n\\t\\t\\t// If there's no new best score for \\\"num_of_unchanged_best\\\", perform bigger mutations on the children\\r\\n\\t\\t\\tif (new_best_person == old_best_person) {\\r\\n\\t\\t\\t\\tnum_of_unchanged_best ++;\\r\\n\\t\\t\\t\\tif (num_of_unchanged_best == max_of_unchanged_best){\\r\\n\\t\\t\\t\\t\\tmutate_big = true;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tnum_of_unchanged_best = 0;\\r\\n\\t\\t\\t\\tmutate_big = false;\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t// Run for python plot code\\r\\n\\t\\t\\tprint_average_score(population, population_size);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// System.out.println(\\\"SWAG\\\");\\r\\n\\t\\t// int least_used_cluster_index = 0;\\r\\n\\t\\t// System.out.println(cluster_count_array[0]);\\r\\n\\t\\t// for(int i = 1; i < num_of_clusters; i++) {\\r\\n\\t\\t// \\tSystem.out.println(cluster_count_array[i]);\\r\\n\\t\\t// \\tif (cluster_count_array[i] < cluster_count_array[least_used_cluster_index]) {\\r\\n\\t\\t// \\t\\tleast_used_cluster_index = i;\\r\\n\\t\\t// \\t}\\r\\n\\t\\t// }\\r\\n\\t\\t// System.out.println(least_used_cluster_index);\\r\\n\\t\\t// // survival_chances = arange_children_to_clusters(population, survival_chances, clusters);\\r\\n\\t\\t// // for (int i = 0; i < survival_chances.length; i++) {\\r\\n\\t\\t// // \\tSystem.out.println(Arrays.toString(sorted_survival_chances[i]));\\r\\n\\t\\t// // clusters = rearrange_clusters(population, survival_chances, clusters);\\r\\n\\t\\t//\\r\\n\\t\\t// // for (int i = 0; i < clusters.length; i++) {\\r\\n\\t\\t// // \\tSystem.out.print(i);\\r\\n\\t\\t// // \\tSystem.out.println(Arrays.toString(clusters[i]));\\r\\n\\t\\t// for (int c2 = 0; c2 < clusters.length; c2++){\\r\\n\\t\\t// \\tfor (int c = 0; c < population.length; c++){\\r\\n\\t\\t// \\t\\tif ((int) sorted_survival_chances[c][2] == c2){\\r\\n\\t\\t// \\t\\t\\tSystem.out.println(Arrays.toString(sorted_survival_chances[c]));\\r\\n\\t\\t// \\t\\t}\\r\\n\\t\\t// \\t}\\r\\n\\t\\t// }\\r\\n\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a7e7a487dfd53e54c773de95baf515d\",\n \"score\": \"0.5033996\",\n \"text\": \"public double getNetworkFitness(NeuralNetwork network);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b4a91874a2924db6871e81202e6a9b0\",\n \"score\": \"0.5004205\",\n \"text\": \"int getJobResultsCount();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"97708b6900b25e7caa8d51e3feff6099\",\n \"score\": \"0.4997859\",\n \"text\": \"int getNodeCount();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3e7430d8c6ab0ab53875ea930d445dbb\",\n \"score\": \"0.49929222\",\n \"text\": \"public double scoreLnGam(Node node, Set<Node> parents, BayesPm bayesPmMod,\\n BayesIm bayesIm) {\\n // System.out.println(\\\"In Cache scoreLnGam \\\");\\n // System.out.print(\\\"Processing node \\\" + node.getName() + \\\" with parents \\\");\\n\\n // for (Iterator itp = parents.iterator(); itp.hasNext();) {\\n // System.out.print(((Node) itp.next()).getName() + \\\" \\\");\\n // }\\n // System.out.println();\\n\\n //A factor of a model is determined by a node and its parents in that model.\\n //The NodeParentsPair inner class provides a means to instantiate such\\n //a pair so that it can be used as an argument to the Map scores.\\n NodeParentsPair nodeAndParents = new NodeParentsPair(node, parents);\\n double score;\\n\\n //If the score of this factor has already been computed and stored, retrieve it from the\\n //Map scores.\\n if (scores.containsKey(nodeAndParents)) {\\n System.out.println(\\n node + \\\" Score came from map--counts not computed.\\\");\\n score = scores.get(nodeAndParents);\\n\\n return score;\\n }\\n else { //otherwise compute it and store it in the map.\\n\\n //String[] varNames = dataSet.getVariableNames();\\n\\n //Create arrays for storing observed counts and prior probabilities for\\n //this factor. In observedCounts and priorProbs, for instance, there will be as\\n //many rows as there are combinations of values of the parents and\\n //as many columns as there are categories of the child variable.\\n Node[] parentArray = new Node[parents.size()];\\n for (int i = 0; i < parentArray.length; i++) {\\n parentArray[i] = (Node) (parents.toArray()[i]);\\n }\\n\\n /*\\n int numRows = 1;\\n for (int i = 0; i < parentArray.length; i++) {\\n String name = parentArray[i].getName();\\n\\n int index = getVarIndex(name);\\n //int numCats = ((DiscreteVariable) variables.get(index)).getNumSplits();\\n int numCats = bayesPm.getNumSplits(parentArray[i]);\\n numRows *= numCats;\\n }\\n */\\n\\n BayesIm bayesImMod = new MlBayesIm(bayesPmMod);\\n int numRows = bayesImMod.getNumRows(bayesImMod.getNodeIndex(node));\\n\\n double[][] priorProbs;\\n double[] priorProbsRowSum;\\n\\n observedCounts = new double[numRows][];\\n priorProbs = new double[numRows][];\\n\\n //The following two arrays are used to store the sum of the counts and\\n //prior probablities for each row.\\n double[] observedCountsRowSum = new double[numRows];\\n priorProbsRowSum = new double[numRows];\\n\\n //The int index will be the index of the variable associated with node\\n //in dataset.\\n// int index = getVarIndex(name);\\n //System.out.println(\\\"NAME: \\\" + name);\\n //int numCols = ((DiscreteVariable) variables.get(index)).getNumSplits();\\n int numCols = bayesPm.getNumCategories(node);\\n\\n //Initialize the observed counts and prior probabilities arrays.\\n for (int j = 0; j < numRows; j++) {\\n\\n observedCountsRowSum[j] = 0;\\n priorProbsRowSum[j] = 0;\\n\\n observedCounts[j] = new double[numCols];\\n priorProbs[j] = new double[numCols];\\n }\\n\\n //At this point set values in observedCounts according to the cases in the dataset.\\n if (bayesIm == null) {\\n computeObservedCounts(node, parentArray);\\n }\\n else\\n //computeObservedCountsMD(node, bayesPmMod, bayesIm);\\n {\\n computeObservedCountsMD(node, bayesPmMod, bayesIm);\\n }\\n\\n //Set all priorProbs (i.e. estimated counts) to 1.0. Eventually they may be\\n //supplied as a parameter of the constructor of this class.\\n for (int j = 0; j < numRows; j++) {\\n for (int k = 0; k < numCols; k++)\\n //priorProbs[j][k] = 1.0;\\n {\\n priorProbs[j][k] = 1.0 /\\n (numRows * numCols); //Per David Danks 12/21/04\\n }\\n }\\n\\n for (int j = 0; j < numRows; j++) {\\n // System.out.print(\\\"Observed counts row \\\" + j);\\n for (int k = 0; k < numCols; k++) {\\n\\n //DEBUG PRINT:\\n // System.out.print(\\\" \\\" + observedCounts[j][k]);\\n\\n observedCountsRowSum[j] += observedCounts[j][k];\\n priorProbsRowSum[j] += priorProbs[j][k];\\n }\\n // System.out.println();\\n }\\n\\n //The loops below compute the products on page 25 of the Heckerman et al. paper.\\n //Actually sums are computed since logarithms of the terms are used. That is\\n //why the log gamma function (lngamma) is used.\\n double sum = 0.0;\\n\\n// int n = nodes.length; //The number of factors (i.e. variables).\\n\\n for (int j = 0; j < numRows; j++) {\\n\\n try {\\n double numerator = ProbUtils.lngamma(priorProbsRowSum[j]);\\n double denom = ProbUtils.lngamma(\\n priorProbsRowSum[j] + observedCountsRowSum[j]);\\n\\n //gammln is a slightly more accurate method than lngamma.\\n //double numerator = ProbUtils.gammln(priorProbsRowSum[j]);\\n //double denom =\\n // ProbUtils.gammln(priorProbsRowSum[j] + observedCountsRowSum[j]);\\n\\n //System.out.println(\\\"num = \\\" + numerator + \\\" denom = \\\" + denom);\\n sum += (numerator - denom);\\n }\\n catch (Exception e) {\\n e.printStackTrace();\\n }\\n\\n //double prodk = 1.0;\\n double sumk = 0.0;\\n for (int k = 0; k < numCols; k++) {\\n try {\\n sumk += ProbUtils.lngamma(\\n priorProbs[j][k] + observedCounts[j][k]) -\\n ProbUtils.lngamma(priorProbs[j][k]);\\n\\n /* Debug print\\n if(Double.isNaN(sumk)) {\\n System.out.println(\\\"sumk is Nan\\\");\\n System.out.println(priorProbs[j][k] + \\\" \\\" + observedCounts[j][k]);\\n }\\n */\\n\\n //sumk += ProbUtils.gammln(priorProbs[j][k] + observedCounts[j][k]) -\\n // ProbUtils.gammln(priorProbs[j][k]);\\n }\\n catch (Exception e) {\\n e.printStackTrace();\\n }\\n }\\n\\n sum += sumk;\\n }\\n\\n score = sum;\\n\\n }\\n\\n //Store the node and parents pair and the score in the scores Map.\\n //Also return the score.\\n Double scoreDouble = score;\\n scores.put(nodeAndParents, scoreDouble);\\n\\n //System.out.println(\\\"For node \\\" + node.getName() + \\\" with parents \\\" + parents);\\n //System.out.println(\\\"Score = \\\" + score);\\n return score;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35821a04d2942eab44a753db6cfc18d8\",\n \"score\": \"0.49897847\",\n \"text\": \"public void mStep() {\\n // According to the assignment, we update the center of each cluster\\n \\tPoint2d[] sumPoints = new Point2d[centers.length];\\n \\tint[] nPoints = new int[centers.length];\\n \\t\\n \\tfor (int i = 0; i < sumPoints.length; i++) {\\n\\t\\t\\tsumPoints[i] = new Point2d(0, 0);\\n\\t\\t}\\n\\n for (int i = 0; i < data.length; i++) {\\n\\t\\t\\tint k = assignments[i];\\n\\t\\t\\tPoint2d currentSum = sumPoints[k];\\n\\t\\t\\tPoint2d currentData = data[i];\\n\\t\\t\\tcurrentSum.set(\\n\\t\\t\\t\\t\\tcurrentSum.getX() + currentData.getX(),\\n\\t\\t\\t\\t\\tcurrentSum.getY() + currentData.getY());\\n\\t\\t\\t++nPoints[k];\\n\\t\\t}\\n \\n // Divide each sum by the number of points\\n for (int i = 0; i < sumPoints.length; i++) {\\n\\t\\t\\tsumPoints[i].set(\\n\\t\\t\\t\\t\\tsumPoints[i].getX() / nPoints[i], \\n\\t\\t\\t\\t\\tsumPoints[i].getY() / nPoints[i]);\\n\\t\\t}\\n \\n centers = sumPoints;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c739c6b4df35953eb57182373b22e30e\",\n \"score\": \"0.4988323\",\n \"text\": \"int componentSize() \\n{\\n return this.euler[0].count();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a9413fd990127677226d55970e4db92\",\n \"score\": \"0.49832648\",\n \"text\": \"int getDegree();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a9413fd990127677226d55970e4db92\",\n \"score\": \"0.49832648\",\n \"text\": \"int getDegree();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a9413fd990127677226d55970e4db92\",\n \"score\": \"0.49832648\",\n \"text\": \"int getDegree();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"df32a4d3b754c63da6a0a7b67e80cb05\",\n \"score\": \"0.49809134\",\n \"text\": \"public static void main(String[] args)throws Exception {\\n Scanner in = new Scanner(new File(\\\"/home/mao/workspace/java/src/BiShi/pinduoduo3\\\"));\\n while (in.hasNext()) {\\n int n = in.nextInt();\\n int m = in.nextInt();\\n Task[] t = new Task[n+1];\\n for(int i = 1; i < n+1; ++i) {\\n t[i] = new Task(i, in.nextInt());\\n }\\n\\n// 建图\\n Map<Integer, List<Integer>> graph = new HashMap<>();\\n int[] indegree = new int[n+1];\\n for(int i = 0; i < m; ++i) {\\n int u = in.nextInt();\\n int v = in.nextInt();\\n if(graph.containsKey(u)) {\\n graph.get(u).add(v);\\n } else {\\n List<Integer> edges = new ArrayList<>();\\n edges.add(v);\\n graph.put(u, edges);\\n }\\n indegree[v]++;\\n }\\n //按照权重排序\\n PriorityQueue<Task> queue = new PriorityQueue<>(new Comparator<Task>() {\\n public int compare(Task o1, Task o2) {\\n return o1.weight-o2.weight;\\n }\\n });\\n\\n //加入度为0的节点，肯定有度为0的节点，否则就是环\\n for(int i = 1; i < n+1; ++i) {\\n if(indegree[i] == 0) queue.offer(t[i]);\\n }\\n\\n List<Integer> res = new ArrayList<>();\\n\\n while(!queue.isEmpty()) {\\n //出堆\\n Task complete = queue.poll();\\n //保存结果\\n res.add(complete.seq);\\n if(graph.containsKey(complete.seq)) {\\n //修改度数\\n for(int i : graph.get(complete.seq)){\\n //度数为0，加入堆\\n if(--indegree[i] == 0) {\\n queue.offer(t[i]);\\n }\\n }\\n }\\n }\\n\\n for(int i = 0; i < n; ++i) {\\n System.out.print(res.get(i));\\n if(i != n-1) System.out.print(\\\" \\\");\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6b735566a835450b46566c0650189521\",\n \"score\": \"0.49752256\",\n \"text\": \"int getEgressCount();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e74f7775867f5f0f78cbe31e5499bdfc\",\n \"score\": \"0.49745497\",\n \"text\": \"@Override\\n\\tpublic void compute() {\\n\\n\\t\\tendTime = System.currentTimeMillis();\\n\\t\\tSystem.out.println(\\\"Superstep num. \\\" + getSuperstep() + \\\" Time taken \\\" + (endTime-startTime)/1000 + \\\" seconds\\\");\\n\\t\\t\\n\\t\\tif(getSuperstep()==0) {\\n\\t\\t\\tEPS = FacilityLocationGiraphVertex.EPSILON.get(getConf());\\n\\t\\t\\tSystem.out.println(\\\"EPS \\\" + EPS);\\n\\t\\t\\talpha = computeAlpha();\\n\\t\\t\\tsetAggregatedValue(FacilityLocationGiraphVertex.PHASE, new BooleanWritable(true)); // set phase to true in the first superstep\\n\\t\\t\\t// System.out.println(\\\"PHASE \\\" + getAggregatedValue(FacilityLocationGiraphVertex.PHASE));\\n\\t\\t\\tsetAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA, new DoubleWritable(alpha)); // set initial value of alpha to ..\\n\\t\\t\\t// System.out.println(\\\"ALPHA \\\" + getAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA));\\n\\t\\t}\\n\\t\\t\\n\\t\\telse if(getSuperstep()==1) { // in superstep 1, initialize the value of alpha\\n\\t\\t\\t// System.out.println(\\\"Came here superstep 1\\\");\\n\\t\\t\\tgamma = this.<DoubleWritable>getAggregatedValue(FacilityLocationGiraphVertex.MAX_AGG_GAMMA).get();\\n\\t\\t\\tnum_vertices = getTotalNumVertices();\\n\\t\\t\\tdouble m = num_vertices * num_vertices;\\n\\t\\t\\tSystem.out.println(\\\"EPS \\\" + EPS);\\n\\t\\t\\talpha = gamma/(Math.pow(m, 2) *(1+EPS));\\n\\t\\t\\t// System.out.println(\\\"num vertices \\\" + num_vertices + \\\" gamma \\\" + gamma + \\\" alpha \\\" + alpha);\\n\\t\\t\\tsetAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA, new DoubleWritable(alpha)); // increment alpha after every superstep -- ?\\n\\t\\t}\\n\\t\\t\\n\\t\\telse {\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t// double num_open_facilities = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.OPEN_FACILITIES).getSize();\\n\\t\\t\\t// double num_frozen_clients = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.FROZEN_CLIENTS).getSize();\\n\\t\\t\\tdouble num_halted = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.PHASE_SWITCH).getSize();\\n\\t\\t\\t\\n\\t\\t\\tSet<Double> set1 = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.OPEN_FACILITIES).get();\\n\\t\\t\\tSet<Double> set2 = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.FROZEN_CLIENTS).get();\\n\\t\\t\\tSet<Double> set3 = new HashSet<Double>(); // set3 contains the unique no. of frozen clients + open facilities\\n\\t\\t\\t\\n\\t\\t\\tset3.addAll(set1);\\n\\t\\t\\tset3.addAll(set2);\\n\\t\\t\\t\\n\\t\\t\\tdouble total = set3.size();\\n\\t\\t\\t\\n\\t\\t\\tif(total<num_vertices && num_halted==num_vertices) { // if not all vertices have been frozen or facilities_opened, and all vertices have halted switch phase.\\n\\t\\t\\t\\t// System.out.println(\\\"In MASTER PHASE TRUE1\\\");\\n\\t\\t\\t\\tsetAggregatedValue(FacilityLocationGiraphVertex.PHASE, new BooleanWritable(true));\\n\\t\\t\\t\\tsetAggregatedValue(FacilityLocationGiraphVertex.PHASE_SWITCH, new MapWritable()); // empty the PHASE_SWITCH map.\\n\\t\\t\\t\\talpha = this.<DoubleWritable>getAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA).get();\\n\\t\\t\\t\\talpha = alpha * (1+EPS);\\n\\t\\t\\t\\tsetAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA, new DoubleWritable(alpha)); // increment alpha after every superstep\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tboolean phase = this.<BooleanWritable>getAggregatedValue(FacilityLocationGiraphVertex.PHASE).get();\\n\\t\\t\\tdouble tmp = this.<MapWritable>getAggregatedValue(FacilityLocationGiraphVertex.PHASE_SWITCH).getSize();\\n\\t\\t\\t// System.out.println(\\\"Superstep no. \\\" + getSuperstep() + \\\" alpha \\\" + alpha + \\\" phase \\\" + phase + \\\" num halted \\\" + tmp);\\n\\t\\t\\t\\n\\t\\t\\tif(phase) { // only increment alpha in the facility opening phase\\n\\t\\t\\t\\t// System.out.println(\\\"In MASTER PHASE TRUE\\\");\\n\\t\\t\\t\\talpha = this.<DoubleWritable>getAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA).get();\\n\\t\\t\\t\\talpha = alpha * (1+EPS);\\n\\t\\t\\t\\tsetAggregatedValue(FacilityLocationGiraphVertex.DIST_ALPHA, new DoubleWritable(alpha)); // increment alpha after every superstep\\n\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\n\\t\\t\\tphase = this.<BooleanWritable>getAggregatedValue(FacilityLocationGiraphVertex.PHASE).get();\\n\\n\\t\\t\\t// System.out.println(\\\"HERE total \\\" + total + \\\" Num Vertices \\\" + num_vertices + \\\" phase \\\" + phase);\\n\\n\\t\\t\\tif(total>=num_vertices) { // there is NOT at least one non-opened facility and at least one non-frozen\\n\\t\\t\\t\\thaltComputation();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"41ef46901b84a48cb3183b6d9db726dd\",\n \"score\": \"0.49729642\",\n \"text\": \"public static float CommonLabelSubGraph_Sum_of_Nodes(HashMap allEdges, ArrayList<String> unexamined_Nodes){\\r\\nif (unexamined_Nodes.isEmpty()) return 0;\\r\\nArrayList<String> candidate_MCS= new ArrayList<>(); // An ArrayList that contais only the NODES of the Candidate MCS.\\r\\nArrayList<String> maxCommonSubgraph=new ArrayList<>(); // An ArrayList that contais only the NODES of the MCS.\\r\\n \\r\\n//System.out.println(\\\"The common Nodes are: \\\"+unexamined_Nodes); \\r\\n//System.out.println(\\\"The common Undirected Edges are: \\\"+allEdges);\\r\\n\\r\\nwhile(unexamined_Nodes.size()>0){ // A new candidate MCS will be constructed, if there are nodes that have not been examined. // All the Common Nodes, that are not examined, are iterated to initialize a new candidate MCS.\\r\\n String examing_the_Node =unexamined_Nodes.remove(0); // The 1st node from the set of the unexaminedNodes is assigned as examing_the_Node and removed from the unexamined_Nodes.\\r\\n candidate_MCS.add(examing_the_Node); // The 1st node that retrieved formerly node, will initialize the candidate_MCS.\\r\\n TreeSet<String> adjacent_nodesof_Examming_the_Node=(TreeSet<String>) allEdges.get(examing_the_Node); // adjacent_nodes is a set that includes --all the adjacent nodes of the current node--.\\r\\n for( String c : adjacent_nodesof_Examming_the_Node){ // The adjacent |Nodes| - c - of the 1st node are appended in the current MCS, if and only if they do not already exist in the currentSubgraph.\\r\\n if(!candidate_MCS.contains(c))\\r\\n candidate_MCS.add(c);}\\r\\n \\r\\n int pointer=1; // A pointer that indicate the Node of the |candidate MCS currentSubgraph| that will be examined.\\r\\n while(pointer<candidate_MCS.size()){ // maybe the \\\"=\\\" should be ommited.\\r\\n examing_the_Node=candidate_MCS.get(pointer); // The |currentNode| is a node that has not be examined yet.\\r\\n if(unexamined_Nodes.contains(examing_the_Node)) // The currentNode is removed from the set of allNodes so no to be examined again.\\r\\n unexamined_Nodes.remove(examing_the_Node);\\r\\n \\r\\n adjacent_nodesof_Examming_the_Node=(TreeSet<String>) allEdges.get(examing_the_Node); // All the adjacent nodes of the currentNode are retrieved\\r\\n for( String c : adjacent_nodesof_Examming_the_Node){ // The adjacent nodes of the current node that do not already exist in the current MCS will be added.\\r\\n if(!candidate_MCS.contains(c))\\r\\n candidate_MCS.add(c);}\\r\\n pointer++; //The next node of arraylist of the candidate MCS will be pointed by the counter pointer.\\r\\n } // The construction of the current MCS has been finished.\\r\\n\\r\\n //System.out.println(\\\"A common subgraph is: \\\"+candidate_MCS); // The candidate MCS is illustrated.\\r\\n if(maxCommonSubgraph.size()<candidate_MCS.size()){\\r\\n maxCommonSubgraph=new ArrayList<>(candidate_MCS);}\\r\\n candidate_MCS.clear(); \\r\\n}\\r\\n//System.out.println(\\\"The maximum common subgraph is: \\\"+maxCommonSubgraph); //Illustration of the MCS.\\r\\nreturn maxCommonSubgraph.size();\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3cc863acf3c22b5681fbde1a730532a3\",\n \"score\": \"0.49597847\",\n \"text\": \"public int run(String[] args) throws Exception\\n\\t\\t\\t{\\n\\t\\t\\t\\t JobConf conf = new JobConf(getConf(), Driver.class);\\n\\t\\t\\t\\t JobConf conf2 =new JobConf(getConf(),Driver.class);\\n\\t\\t\\t\\t conf.setJobName(\\\"Assignment\\\"); \\n\\t\\t\\t\\t conf2.setJobName(\\\"Assignemnt2\\\");\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t //Setting configuration object with the Data Type of output Key and Value \\n\\t\\t\\t\\t conf.setOutputKeyClass(LongWritable.class); \\n\\t\\t\\t\\t conf.setOutputValueClass(Text.class);\\n\\t\\t\\t\\t conf2.setOutputKeyClass(Text.class);\\n\\t\\t\\t\\t conf2.setOutputValueClass(IntWritable.class);\\n\\t\\t\\t\\t //Providing the mapper and reducer class names \\n\\t\\t\\t\\t conf.setJarByClass(Driver.class); \\n\\t\\t\\t\\t conf.setMapperClass(FirstMapper.class); \\n\\t\\t\\t\\t conf.setReducerClass(FirstReducer.class); \\n\\t\\t\\t\\t conf2.setMapperClass(SecondMapper.class);\\n\\t\\t\\t\\t conf2.setReducerClass(SecondReducer.class);\\n\\t\\t\\t\\t conf.setPartitionerClass(AgePartitioner.class);\\n\\t\\t\\t\\t conf.setNumReduceTasks(3);\\t\\t\\t\\t\\t\\t\\t//set the number of reducers to three.\\n\\t\\t\\t\\t conf2.setJarByClass(Driver.class);\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t //the hdfs input and output directory to be fetched from the command line \\n\\t\\t\\t\\t FileInputFormat.addInputPath(conf, new Path(args[0])); \\n\\t\\t\\t\\t FileOutputFormat.setOutputPath(conf, new Path(args[1])); \\n\\t\\t\\t\\t FileInputFormat.addInputPath(conf2, new Path(args[1]));\\n\\t\\t\\t\\t FileOutputFormat.setOutputPath(conf2,new Path(args[2]));\\n\\t\\t\\t\\t JobClient.runJob(conf); \\n\\t\\t\\t\\t JobClient.runJob(conf2);\\n\\t\\t\\t\\t return 0; \\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0b774dc139699e25c711f5beaa30bd2\",\n \"score\": \"0.49576557\",\n \"text\": \"private int SumUpJob(int index, String prMatrix)\\n throws ClassNotFoundException, IOException, InterruptedException {\\n\\n Configuration conf = new Configuration();\\n conf.addResource(\\\"reference.xml\\\");\\n\\n // Read the output of first MapReduce job, for example: /Output0, /Output1 ...\\n if (conf.get(\\\"firstMROutput\\\") != null) {\\n // 自定义 property: the directory of multiplication result\\n subPRMatrix = conf.get(\\\"firstMROutput\\\") + index;\\n } else {\\n subPRMatrix = subPRMatrix + index;\\n }\\n\\n Job job = Job.getInstance(conf);\\n job.setJarByClass(CellSum.class);\\n\\n ChainMapper.addMapper(job, CellSum.PassMapper.class,\\n Object.class, Text.class, Text.class, DoubleWritable.class, conf);\\n\\n // Second Mapper's input value should match first Mapper's output value\\n ChainMapper.addMapper(job, CellSum.PRBetaMapper.class,\\n Text.class, DoubleWritable.class, Text.class, DoubleWritable.class, conf);\\n\\n job.setReducerClass(CellSum.SumReducer.class);\\n job.setOutputKeyClass(Text.class);\\n job.setOutputValueClass(DoubleWritable.class);\\n\\n /* Read input file from, for example /output0 */\\n MultipleInputs.addInputPath(job, new Path(subPRMatrix), TextInputFormat.class, CellSum.PassMapper.class);\\n /* Read PR matrix, beta * PR , for example for /pagerank0 */\\n MultipleInputs.addInputPath(job, new Path(prMatrix + index), TextInputFormat.class, CellSum.PRBetaMapper.class);\\n\\n /* produce a new PR matrix file for next iteration. for example: /pagerank1*/\\n FileOutputFormat.setOutputPath(job, new Path(prMatrix + (index + 1)));\\n\\n return job.waitForCompletion(true) ? 0 : 1;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da4f52621cfd866d8919231407c2d128\",\n \"score\": \"0.495485\",\n \"text\": \"public long getNbJob() {\\n return nbJob;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f494534637ecd57fe4f5a26fd120c54d\",\n \"score\": \"0.49518558\",\n \"text\": \"public int greedy2() {\\r\\n\\t\\tLinkedList<Edge> list = new LinkedList<Edge>();\\r\\n\\t\\tfor (int i = 0; i < matrix.length; i++) {\\r\\n\\t\\t\\tfor (int j = 0; j < matrix.length - 1; j++) {\\r\\n\\t\\t\\t\\tlist.add(new Edge(i, j, matrix[i][j]));\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\tCollections.sort(list);\\r\\n\\r\\n\\t\\tComponent finalResult = new Component(nNodes);\\r\\n\\t\\tfinalResult.mergeComponents(list.get(0).sourceNode, list.get(0).targetNode);\\r\\n\\t\\tint counter = 2;\\r\\n\\t\\tsol[0] = list.get(0).sourceNode;\\r\\n\\t\\tsol[1] = list.get(0).targetNode;\\r\\n\\r\\n\\t\\tfor (int i = 1; i < list.size(); i++) {\\r\\n\\t\\t\\tif (list.get(i).targetNode != list.get(i).sourceNode) { // We don't consider edges from one to itself\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (list.get(i).sourceNode == finalResult.getComponent(list.get(i).sourceNode)) {\\r\\n\\t\\t\\t\\t\\tif (list.get(i).targetNode == finalResult.getComponent(list.get(i).targetNode)) { // The target node\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// is not in a\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// component\\r\\n\\t\\t\\t\\t\\t\\tif (list.get(i).sourceNode == sol[0]) {\\r\\n\\t\\t\\t\\t\\t\\t\\tsol[sol.length - 2] = list.get(i).targetNode;\\r\\n\\t\\t\\t\\t\\t\\t} else if (list.get(i).targetNode == sol[0]){\\r\\n\\t\\t\\t\\t\\t\\t\\tsol[sol.length - 2] = list.get(i).sourceNode;\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\telse {\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\tsol[counter++] = list.get(i).targetNode;\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\t\\t\\tfinalResult.mergeComponents(list.get(i).sourceNode, list.get(i).targetNode);\\r\\n\\r\\n\\t\\t\\t\\t\\t} else { // The target node is in a component\\r\\n\\t\\t\\t\\t\\t\\tfinalResult.mergeComponents(list.get(i).sourceNode,\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tfinalResult.getComponent(list.get(i).targetNode));\\r\\n\\t\\t\\t\\t\\t\\tsol[counter++] = list.get(i).sourceNode;\\r\\n\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tif (finalResult.onlyOneConnectedComponent()) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\tint finalCost = 0;\\r\\n\\t\\tfor (int j = 0; j < sol.length - 1; j++) {\\r\\n\\t\\t\\tfinalCost += matrix[sol[j]][sol[j + 1]];\\r\\n\\t\\t}\\r\\n\\t\\treturn finalCost;\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"41fa1ec4859883cf32133f997fed8840\",\n \"score\": \"0.49489185\",\n \"text\": \"private static InstanceNode[] max_dpa(int numNodes, int degree, int maxValue, int maxDegree, int minDistance, int communicationRadius) {\\r\\n\\t\\tdouble r = Math.sqrt((degree * Math.pow((maxValue*2), 2))/((numNodes-1)*Math.PI)) + 15;\\t\\t\\r\\n\\r\\n\\t\\tInstanceNode[] nodes = new InstanceNode[0];\\r\\n\\r\\n\\t\\t//\\t\\twhile (!connected) {\\r\\n\\t\\tint x = (int) ((Math.random() * (maxValue*2)) - maxValue);\\r\\n\\t\\tint y = (int) ((Math.random() * (maxValue*2)) - maxValue);\\r\\n\\r\\n\\t\\tArrayList<InstanceNode> set = new ArrayList<InstanceNode>();\\r\\n\\r\\n\\t\\tInstanceNode p1 = new InstanceNode();\\r\\n\\t\\tp1.node = 1;\\r\\n\\t\\tp1.x_coord = x;\\r\\n\\t\\tp1.y_coord = y;\\r\\n\\t\\tp1.battery = 0; //Temporarily use to record degree\\r\\n\\t\\tp1.demand = 1;\\r\\n\\r\\n\\t\\tset.add(p1);\\r\\n\\r\\n\\t\\tfor (int k = 2; k<=numNodes+1; k++) {\\r\\n\\t\\t\\tboolean placed = false;\\r\\n\\r\\n\\t\\t\\twhile (!placed) {\\r\\n\\t\\t\\t\\tx = (int) ((Math.random() * (maxValue*2)) - maxValue);\\r\\n\\t\\t\\t\\ty = (int) ((Math.random() * (maxValue*2)) - maxValue);\\r\\n\\r\\n\\t\\t\\t\\tInstanceNode newNode = new InstanceNode();\\r\\n\\t\\t\\t\\tnewNode.node = k;\\r\\n\\t\\t\\t\\tnewNode.x_coord = x;\\r\\n\\t\\t\\t\\tnewNode.y_coord = y;\\r\\n\\t\\t\\t\\tnewNode.demand = 1;\\r\\n\\t\\t\\t\\tnewNode.battery = 0;\\r\\n\\r\\n\\t\\t\\t\\tArrayList<Integer> degreeUp = new ArrayList<Integer>();\\r\\n\\r\\n\\t\\t\\t\\tboolean proximityTest = false;\\r\\n\\t\\t\\t\\tboolean degreeTest = true;\\r\\n\\t\\t\\t\\tfor (int i = 0; i< set.size(); i++) {\\r\\n\\t\\t\\t\\t\\tif (newNode.getDistance(set.get(i)) <= r && newNode.getDistance(set.get(i)) > minDistance) {\\r\\n\\t\\t\\t\\t\\t\\tproximityTest = true;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tif (newNode.getDistance(set.get(i)) <= communicationRadius && set.get(i).battery < maxDegree) {\\r\\n\\t\\t\\t\\t\\t\\tif (set.get(i).battery < maxDegree) {\\r\\n\\t\\t\\t\\t\\t\\t\\tdegreeUp.add(i);\\r\\n\\t\\t\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\t\\t\\tdegreeTest = false;\\r\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t} \\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\tplaced = proximityTest && degreeTest;\\r\\n\\r\\n\\t\\t\\t\\tif (placed) {\\r\\n\\t\\t\\t\\t\\tfor(int i = 0; i < degreeUp.size(); i++) {\\r\\n\\t\\t\\t\\t\\t\\tset.get(degreeUp.get(i)).battery++;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\t\\tnewNode.battery = degreeUp.size();\\r\\n\\t\\t\\t\\t\\tset.add(newNode);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\tnodes = set.toArray(new InstanceNode[0]);\\r\\n\\t\\t//\\t\\t\\tconnected = true;\\r\\n\\t\\t//\\t\\t\\t//Other stuff in the original algorithm goes here. Seeing how this performs without the check at the end\\r\\n\\t\\t//\\t\\t}\\r\\n\\r\\n\\t\\tfor (int i = 0; i < nodes.length; i++) {\\r\\n\\t\\t\\tnodes[i].battery = (int) Math.floor(((Math.random()*100 + 1)));\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\treturn nodes;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad4fba9dcd195244a62eb535067e2546\",\n \"score\": \"0.49300724\",\n \"text\": \"public static void main(String[] args)throws IOException{\\n BufferedReader br = new BufferedReader(new InputStreamReader(System.in));\\n int days = Integer.parseInt(br.readLine());\\n int clusterNumber = Integer.parseInt(br.readLine());\\n int clusterDetails[][] = new int[clusterNumber][4];\\n long totalRequirement=0;\\n for(int i=0;i<clusterNumber;i++){\\n String s1[] = br.readLine().trim().split(\\\" \\\");\\n //System.out.println(s1);\\n clusterDetails[i][0]= i+1;\\n clusterDetails[i][1]=Integer.parseInt(s1[1]);\\n //System.out.print(clusterDetails[i][1]+\\\" \\\");\\n clusterDetails[i][2]=Integer.parseInt(s1[2]);\\n //System.out.print(clusterDetails[i][2]+\\\" \\\");\\n clusterDetails[i][3]=clusterDetails[i][2];\\n //System.out.print(clusterDetails[i][2]+ \\\" \\\");\\n totalRequirement+=clusterDetails[i][2];\\n\\n }\\n// for(int i=0;i<clusterNumber;i++) {\\n// System.out.print(Arrays.toString(clusterDetails[i]));\\n// }\\n int connectionNumber = Integer.parseInt(br.readLine());\\n //System.out.print(\\\"number \\\"+connectionNumber);\\n String connectionDetails[]=new String[connectionNumber];\\n for(int i=0;i<connectionNumber;i++){\\n connectionDetails[i] =\\\"\\\";\\n String s1[]= br.readLine().trim().split(\\\"_\\\");\\n //System.out.println(Arrays.toString( s1));\\n for(int j=0;j<s1.length;j++){\\n if(s1[j].equals(\\\"F\\\")){\\n connectionDetails[i]+=\\\"0\\\";\\n connectionDetails[i]+=\\\" \\\";\\n }\\n else{\\n String[] s2 = s1[j].split(\\\"C\\\");\\n// System.out.print(\\\"carr \\\");\\n// System.out.println(Arrays.toString((s2)));\\n// System.out.println(\\\"1st\\\"+s2[1]);\\n connectionDetails[i]+=s2[1];\\n connectionDetails[i]+=\\\" \\\";\\n }\\n }\\n// System.out.println(\\\"CD\\\"+connectionDetails[i]);\\n\\n }\\n for(int i=0;i<days;i++){\\n for(int j=0;j<clusterNumber;j++){\\n if(clusterDetails[j][3]>=clusterDetails[j][1]){\\n clusterDetails[j][3]= clusterDetails[j][3]-clusterDetails[j][1];\\n }\\n else if(clusterDetails[j][3]<clusterDetails[j][1]&& j+1<clusterNumber && clusterDetails[j+1][3]<clusterDetails[j+1][1]){\\n if(connectionDetails[j].contains((j+1)+\\\"\\\")){\\n String s1[] = connectionDetails[j+1].split(\\\" \\\");\\n //System.out.println(Arrays.toString(s1));\\n for(int k=0;k<s1.length;k++){\\n int m= Integer.parseInt(s1[k]);\\n// System.out.println(\\\"m\\\"+m);\\n if(m!=0){\\n totalRequirement+= clusterDetails[m-1][2];\\n clusterDetails[m-1][3] = clusterDetails[m-1][2];\\n }\\n }\\n\\n }\\n else {\\n String s1[] = connectionDetails[j].split(\\\" \\\");\\n //System.out.println(Arrays.toString(s1));\\n for(int k=0;k<s1.length;k++){\\n int m= Integer.parseInt(s1[k]);\\n// System.out.println(\\\"m\\\"+m);\\n if(m!=0){\\n totalRequirement+= clusterDetails[m-1][2];\\n clusterDetails[m-1][3] = clusterDetails[m-1][2];\\n }\\n }\\n }\\n }\\n else {\\n String s1[] = connectionDetails[j].split(\\\" \\\");\\n //System.out.println(Arrays.toString(s1));\\n for(int k=0;k<s1.length;k++){\\n int m= Integer.parseInt(s1[k]);\\n// System.out.println(\\\"m\\\"+m);\\n if(m!=0){\\n totalRequirement+= clusterDetails[m-1][2];\\n clusterDetails[m-1][3] = clusterDetails[m-1][2];\\n }\\n }\\n }\\n }\\n\\n }\\n System.out.print(totalRequirement);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2fcdca221aca8a2efa6c0f05241c478e\",\n \"score\": \"0.4928189\",\n \"text\": \"void do_inference_from_bucket_tree() {\\n results = new ProbabilityFunction[1]; \\n bucket_tree.reduce();\\n results[0] = bucket_tree.get_normalized_result();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cead529b89c1aa632ccbd488eda6526c\",\n \"score\": \"0.49240568\",\n \"text\": \"public int redistribute () {\\n\\t\\tint key = 0;\\n\\t\\t///////////////////\\n\\t\\t// ADD CODE HERE // \\n\\t\\t///////////////////\\n\\t\\tif(lastindex==maxkeys()){\\n\\t\\t\\t\\n\\t\\t\\t//if the node is full\\n\\t\\t\\tint secondNodeStart = (lastindex+1+2)/2+1;\\n\\t\\t\\t//get the key which will be inserted into parent\\n\\t\\t\\tkey = tempKeys[secondNodeStart-1];\\n\\t\\t\\t//create second node\\n\\t\\t\\tNode secondNode = new InternalNode(degree, tempPtrs[secondNodeStart-1], tempKeys[secondNodeStart], tempPtrs[secondNodeStart], this.next, this);\\n\\t\\t\\tReference tempParent = getParent();\\n\\t\\t\\tif(tempParent!=null){\\n\\t\\t\\t\\tsecondNode.setParent(new Reference(tempParent.getNode(), tempParent.getIndex()+1, false));\\n\\t\\t\\t}\\t//add element to second node\\n\\t\\t\\tfor(int i = secondNodeStart+1;i<=lastindex+1;i++){\\n\\t\\t\\t\\tsecondNode.insert( tempKeys[i], tempPtrs[i]);\\n\\t\\t\\t}\\n\\t\\t\\t//process the old node\\n\\t\\t\\tthis.lastindex=secondNodeStart-2;\\n\\t\\t\\tint tempj = 1;\\n\\t\\t\\twhile(tempj<=lastindex){\\n\\t\\t\\t\\tkeys[tempj]=tempKeys[tempj];\\n\\t\\t\\t\\tptrs[tempj]=tempPtrs[tempj];\\n\\t\\t\\t\\tptrs[tempj].setParent(new Reference(this, tempj, false));\\n\\t\\t\\t\\ttempj++;\\n\\t\\t\\t}\\n\\t\\t\\twhile(tempj<=degree-1){\\n\\t\\t\\t\\tkeys[tempj]=0;\\n\\t\\t\\t\\tptrs[tempj]=null;\\n\\t\\t\\t\\ttempj++;\\n\\t\\t\\t}\\n\\t\\t}else if(lastindex<minkeys()){\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\treturn key;\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d098e247a5116548e9616825a2df0e91\",\n \"score\": \"0.49215484\",\n \"text\": \"static int get_degree(long n, long p) {\\n int degree_num = 0;\\n long u = p;\\n long temp = n;\\n\\n while (u <= temp) {\\n degree_num += temp / u;\\n u *= p;\\n }\\n return degree_num;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d4802013da2d9ae7c9c502123846a34f\",\n \"score\": \"0.49202532\",\n \"text\": \"VariableAmount getClustersPerChunk();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2a93c19a3abfcf5d589bb99ab7226ea\",\n \"score\": \"0.49190104\",\n \"text\": \"public final double getMaxNrOfJobs ()\\n {\\n return this.maxNrOfJobs;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e340847da4cd0ede2f57c25a0dbced65\",\n \"score\": \"0.49177063\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner in = new Scanner(System.in);\\n\\t\\tint t = in.nextInt();\\n\\t\\tfor (int a0 = 0; a0 < t; a0++) {\\n\\t\\t\\tint n = in.nextInt();\\n\\t\\t\\tint m = in.nextInt();\\n//\\t\\t\\tint[] array0 = new int[m];\\n//\\t\\t\\tint[] array1 = new int[m];\\n//\\t\\t\\tRandom r = new Random();\\n//\\t\\t\\tfor (int i = 0; i < m; i++) {\\n//\\t\\t\\t\\tarray0[i] = r.nextInt(n-1);\\n//\\t\\t\\t\\tarray1[i] = r.nextInt(n-1);\\n//\\t\\t\\t}\\n\\t\\t\\tGroups groups = new Groups(n);\\n\\t\\t\\tfor (int a1 = 0; a1 < m; a1++) {\\n\\t\\t\\t\\t int x = in.nextInt();\\n\\t\\t\\t\\t int y = in.nextInt();\\n//\\t\\t\\t\\tint x = array0[a1];\\n//\\t\\t\\t\\tint y = array1[a1];\\n\\t\\t\\t\\tgroups.add(x, y);\\n\\t\\t\\t}\\n\\t\\t\\t// groups.printAll();\\n\\t\\t\\tlong count = 0;\\n\\t\\t\\t// BigInteger m = BigInteger.valueOf(m0);\\n\\t\\t\\tArrayList<BigInteger> partialSums = new ArrayList<BigInteger>();\\n\\t\\t\\tMap<Integer, Integer> map = new LinkedHashMap<Integer, Integer>();\\n\\t\\t\\tfor(int i=0;i<groups.list.length;i++){\\n\\t\\t\\t\\tif(map.containsKey(groups.list[i])){\\n\\t\\t\\t\\t\\tint a = map.get(groups.list[i]);\\n\\t\\t\\t\\t\\ta++;\\n\\t\\t\\t\\t\\tmap.replace(groups.list[i], a);\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tmap.put(groups.list[i], 1);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n//\\t\\t\\tCollections.sort(groups.groups);\\n\\t\\t\\tlong variabile = map.get(groups.list[0]);\\n\\t\\t\\tfor (int i = 0; i < groups.list.length; i++) {\\n\\t\\t\\t\\tlong k = map.get(groups.list[i]);\\n\\t\\t\\t\\t// BigInteger k = BigInteger.valueOf(ki);\\n\\t\\t\\t\\tlong res0;\\n\\t\\t\\t\\tif (i == 0) {\\n\\t\\t\\t\\t\\tres0 = k * (k - 1) * (m - (k - 2));\\n\\t\\t\\t\\t} else {\\n//\\t\\t\\t\\t\\tfor (int i0 = 0; i0 <= i; i0++) {\\n\\t\\t\\t\\t\\t\\tvariabile += map.get(groups.list[i]);\\n//\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tres0 = k * (k - 1) * (m - (variabile - (2 + i)));\\n\\t\\t\\t\\t}\\n//\\t\\t\\t\\tres0 += summPartials(k);\\n\\t\\t\\t\\tres0 += k*(k-2);\\n\\t\\t\\t\\tcount += res0;\\n\\t\\t\\t}\\n\\t\\t\\tSystem.out.println(count);\\n\\t\\t\\t// for (BigInteger bigInteger : partialSums) {\\n\\t\\t\\t// System.out.print(bigInteger.toString()+\\\" \\\");\\n\\t\\t\\t// }\\n\\t\\t\\t// System.out.print(\\\"\\\\n\\\");\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d07841d9a963bcec0efa17edd9a8ef4b\",\n \"score\": \"0.4915175\",\n \"text\": \"private double dist(Graph g1, Graph g2) {\\r\\n int[] map = ctree.mapper.map(g1, g2);\\r\\n return 10000 - ctree.graphSim.sim(g1, g2, map);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0c41f1073da5416cfe2e45e78b8ad361\",\n \"score\": \"0.49086198\",\n \"text\": \"private int getNumWorkersGatheringGas() {\\n int numWorkers = 0;\\n for (Unit unit : self.getUnits()) {\\n if (unit.isGatheringGas()) {\\n numWorkers++;\\n }\\n }\\n return numWorkers;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"95258324a9eadd876fcb5c4760825680\",\n \"score\": \"0.4904363\",\n \"text\": \"public int getOutDegree(){\\n\\t\\treturn(outDegree);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c7169197e2907cf9e4ab902b9339e9bc\",\n \"score\": \"0.4902643\",\n \"text\": \"public void run() {\\n int maxDegree = 0;\\n int numNodes = graph.getNumberOfVertices();\\n for( int i=0; i<numNodes; ++i) {\\n\\n //Select a vertex from the graph that has minimum degree\\n NVertex<D> minDegreeVertex = null;\\n int min = Integer.MAX_VALUE;\\n for(NVertex<D> v : graph) {\\n if( min > v.getNumberOfNeighbors() ) {\\n minDegreeVertex = v;\\n min = v.getNumberOfNeighbors();\\n }\\n }\\n if( minDegreeVertex != null ){\\n //if the the maxdegree of the selected vertex > current high:\\n //set maxdegree as new lowerbound\\n if( minDegreeVertex.getNumberOfNeighbors()>maxDegree) {\\n maxDegree = minDegreeVertex.getNumberOfNeighbors();\\n }\\n\\n NVertex<D> vertexToContractWith = null;\\n\\n HashSet<NVertex<D>> newStartVNeighbors = new HashSet<NVertex<D>>();\\n for(NVertex<D> v : minDegreeVertex)\\n newStartVNeighbors.add(v);\\n\\n int sameN = Integer.MAX_VALUE;\\n for( NVertex<D> other: minDegreeVertex) {\\n //Loop over buren van buur\\n int same = 0;\\n for(NVertex<D> bb : other)\\n if(newStartVNeighbors.contains(bb))\\n ++same;\\n\\n if(same<sameN) {\\n vertexToContractWith = other;\\n sameN = same;\\n }\\n }\\n if( vertexToContractWith!=null ) {\\n graph.contractEdge(minDegreeVertex,vertexToContractWith);\\n }\\n }\\n }\\n if( maxDegree>lowerbound ) lowerbound = maxDegree;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79aca0fb1303309a2ae0475fc624d17e\",\n \"score\": \"0.49021173\",\n \"text\": \"int getCellsPerResultCount();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bbcf600672b13229873018c98599974f\",\n \"score\": \"0.49002552\",\n \"text\": \"private long calculateN() {\\n\\t\\t// numver of elements for constant velocity section\\n\\t\\tn = totalElementNumber - 2 * s;\\n\\t\\t// set the element at which pulse stops\\n\\t\\tpulseStopElement = totalElementNumber - this.s - 1;\\n\\t\\treturn n;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c99bcace27c02c729e07e13943f06794\",\n \"score\": \"0.48995972\",\n \"text\": \"public double getFitness(int k){\\r\\n\\r\\n return (double) connections / (double)((k * (k - 1)) / 2);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"59a37276fabd5dc8730812721678eec7\",\n \"score\": \"0.489183\",\n \"text\": \"public int degree() {\\n\\t\\t\\treturn incEdges.size();\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3629bba9567d1ec222df550f51a74e9a\",\n \"score\": \"0.48917586\",\n \"text\": \"private void updateJobOrder(double[] sFree, double[] rFree) {\\n\\t\\tdouble recvBytes[] = new double[NUM_RACKS];\\n\\t\\tdouble sendBytes[] = new double[NUM_RACKS];\\n\\t\\tArrays.fill(recvBytes, 0);\\n\\t\\tArrays.fill(sendBytes, 0);\\n\\t\\tVector<Job> result = new Vector<Job>();\\n\\t\\tint jobsize = sortedJobs.size();\\n\\t\\tdouble adjustweight[] = new double[jobsize];\\n\\n\\t\\t// processing time of job i task k, port\\n\\t\\tdouble processingtimeSend[][][] = new double[25][50][100];\\n\\t\\tdouble processingtimeReceive[][][] = new double[25][50][100];\\n\\n\\t\\tArrays.fill(processingtimeSend, 0);\\n\\t\\tArrays.fill(processingtimeReceive, 0);\\n\\n\\t\\t// initiate weight of tasks\\n\\t\\tfor (int i = 0; i < jobsize; i++) {\\n\\t\\t\\tadjustweight[i] = ((Job) sortedJobs.get(i)).weight;\\n\\t\\t}\\n\\n\\t\\t// compute the load of every tasks to the ports\\n\\t\\tint sortedJobsize = sortedJobs.size();\\n\\t\\tfor (int i = 0; i < sortedJobsize; i++) {\\n\\t\\t\\tJob j = sortedJobs.get(i);\\n\\t\\t\\t// first compute the load of every port\\n\\t\\t\\tint tasksize = j.tasks.size();\\n\\t\\t\\tfor (int k = 0; k < tasksize; k++) {\\n\\t\\t\\t\\tTask t = j.tasks.get(k);\\n\\t\\t\\t\\tif (t.taskType != TaskType.REDUCER)\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t// compute the processing time of each port\\n\\t\\t\\t\\tReduceTask rt = (ReduceTask) t;\\n\\t\\t\\t\\trecvBytes[rt.taskID] += rt.shuffleBytesLeft;\\n\\t\\t\\t\\t// check if rFree is zero\\n\\t\\t\\t\\tif (rFree[rt.taskID] > Constants.ZERO)\\n\\t\\t\\t\\t\\tprocessingtimeReceive[i][k][rt.taskID] += rt.shuffleBytesLeft / rFree[rt.taskID];\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\tprocessingtimeReceive[i][k][rt.taskID] = Constants.VALUE_UNKNOWN;\\n\\t\\t\\t\\tint flowsize = rt.flows.size();\\n\\t\\t\\t\\tfor (int m = 0; m < flowsize; m++) {\\n\\t\\t\\t\\t\\tFlow f = rt.flows.get(m);\\n\\t\\t\\t\\t\\tsendBytes[f.mapper.taskID] += f.bytesRemaining;\\n\\t\\t\\t\\t\\t// check if sFree is zero\\n\\t\\t\\t\\t\\tif (sFree[f.mapper.taskID] > Constants.ZERO)\\n\\t\\t\\t\\t\\t\\tprocessingtimeSend[i][k][f.mapper.taskID] += f.bytesRemaining / sFree[f.mapper.taskID];\\n\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\tprocessingtimeSend[i][k][f.mapper.taskID] = Constants.VALUE_UNKNOWN;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tint k = sortedJobs.size() - 1;\\n\\t\\twhile (k >= 0) {\\n\\t\\t\\t// find the largest load port\\n\\t\\t\\tdouble maxrecv = 0;\\n\\t\\t\\tint maxrecvmachine = 0;\\n\\t\\t\\tdouble maxsend = 0;\\n\\t\\t\\tint maxsendmachine = 0;\\n\\n\\t\\t\\t// get the heaviest load\\n\\t\\t\\tfor (int i = 0; i < NUM_RACKS; i++) {\\n\\t\\t\\t\\tif (maxsend <= sendBytes[i]) {\\n\\t\\t\\t\\t\\tmaxsendmachine = i;\\n\\t\\t\\t\\t\\tmaxsend = sendBytes[i];\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (maxrecv <= recvBytes[i]) {\\n\\t\\t\\t\\t\\tmaxrecvmachine = i;\\n\\t\\t\\t\\t\\tmaxrecv = recvBytes[i];\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\t// find the corresponding job who has max(weight/processing time)\\n\\t\\t\\tdouble minfactor = 1000000;\\n\\t\\t\\tint jobindex = 0;\\n\\n\\t\\t\\t// refresh the job set size\\n\\t\\t\\tsortedJobsize = sortedJobs.size();\\n\\t\\t\\tfor (int i = 0; i < sortedJobsize; i++) {\\n\\t\\t\\t\\tJob job = sortedJobs.get(i);\\n\\t\\t\\t\\t// only deals with the other jobs\\n\\t\\t\\t\\tif (result.contains(job))\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\tdouble taskmaplevel = 0;\\n\\t\\t\\t\\tdouble taskreducelevel = 0;\\n\\t\\t\\t\\tfor (int j = 0; j < 50; j++) {\\n\\t\\t\\t\\t\\ttaskmaplevel += processingtimeSend[i][j][maxsendmachine];\\n\\t\\t\\t\\t\\ttaskreducelevel += processingtimeReceive[i][j][maxrecvmachine];\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tdouble level = 0;\\n\\t\\t\\t\\tif (taskmaplevel < taskreducelevel) {\\n\\t\\t\\t\\t\\tlevel = taskmaplevel;\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tlevel = taskreducelevel;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (minfactor > adjustweight[i] / level) {\\n\\t\\t\\t\\t\\tminfactor = adjustweight[i] / level;\\n\\t\\t\\t\\t\\tjobindex = i; // find the corresponding job\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\t// add the job to the result set\\n\\t\\t\\tresult.add(sortedJobs.get(jobindex));\\n\\t\\t\\t// adjust the job weight in sorted Jobs\\n\\t\\t\\tfor (int i = 0; i < sortedJobsize; i++) {\\n\\t\\t\\t\\tif (result.contains(sortedJobs.get(i)))\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\tdouble taskmaplevel = 0;\\n\\t\\t\\t\\tdouble taskreducelevel = 0;\\n\\t\\t\\t\\tfor (int j = 0; j < 50; j++) {\\n\\t\\t\\t\\t\\ttaskmaplevel += processingtimeSend[i][j][maxsendmachine];\\n\\t\\t\\t\\t\\ttaskreducelevel += processingtimeReceive[i][j][maxrecvmachine];\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tdouble level = Math.max(taskmaplevel, taskreducelevel);\\n\\t\\t\\t\\tadjustweight[i] -= minfactor * level;\\n\\n\\t\\t\\t}\\n\\t\\t\\tk--;\\n\\n\\t\\t}\\n\\n\\t\\tint size = result.size();\\n\\t\\tfor (int i = size - 1; i >= 0; i--) {\\n\\t\\t\\tsortedJobs.set(size - 1 - i, result.get(i));\\n\\t\\t}\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"995fd98cd58c1d68f3ccce3ce20cf17c\",\n \"score\": \"0.48863208\",\n \"text\": \"public int GetCost(Node node)\\n {\\n int m=Math.abs(node.X-this.X);\\n int n=Math.abs(node.Y-this.Y);\\n// if(m>n)return 11*m+5*n;\\n// else return 5*m+11*n;\\n// return m>n?8*m+7*n:7*m+8*n;\\n// int max=m>n?m:n;\\n// int min=m<n?m:n;\\n// int d2=4*(int)(Math.sqrt(2)*min)+3*(max-min);\\n// int d2=4*min+3*(max-min);\\n// return m+n;\\n return 10*(m+n);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fccc1700329a13c6f13d4fc5488e6127\",\n \"score\": \"0.48855543\",\n \"text\": \"double distance(Node node) {\\n double dist = 0.0;\\n for (int i = 0; i < d; i++) {\\n double d = sum[i] / n - node.sum[i] / node.n;\\n dist += d * d;\\n }\\n return Math.sqrt(dist);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6860986b9c3e8ba25290f37dec99becf\",\n \"score\": \"0.48852625\",\n \"text\": \"public Node clusterObjects() {\\r\\n // preparing\\r\\n Node[] nodes = new Node[n];\\r\\n for (int i = 0; i < n; i++) {\\r\\n Node c = new Node();\\r\\n c.no = i;\\r\\n c.dx = 0;\\r\\n c.dy = (i + 1) * borderLineSize + i * cellSize + cellSize / 2;\\r\\n nodes[i] = c;\\r\\n }\\r\\n\\r\\n double[][] dist = new double[n][n];\\r\\n int[] g1 = new int[n];\\r\\n int[] g2 = new int[n];\\r\\n\\r\\n for (int i = 0; i < n; i++) {\\r\\n getGroup(nodes[i], g1, 0);\\r\\n dist[i][i] = 0;\\r\\n for (int j = i + 1; j < n; j++) {\\r\\n getGroup(nodes[j], g2, 0);\\r\\n dist[i][j] = dist[j][i] = distanceBetweenGroups(g1, 1, g2, 1);\\r\\n }\\r\\n }\\r\\n\\r\\n // clustering\\r\\n int count = n;\\r\\n Node root = (n > 0) ? nodes[0] : null;\\r\\n while (count > 1) {\\r\\n// System.out.println(\\\"Count = \\\" + count);\\r\\n\\r\\n double minDist = Double.MAX_VALUE;\\r\\n int i = -1, j = -1;\\r\\n\\r\\n for (int ii = 0; ii < n; ii++) {\\r\\n for (int jj = ii + 1; jj < n; jj++) {\\r\\n if (nodes[ii] != null && nodes[jj] != null && dist[ii][jj] < minDist) {\\r\\n minDist = dist[ii][jj];\\r\\n i = ii;\\r\\n j = jj;\\r\\n }\\r\\n }\\r\\n }\\r\\n\\r\\n if (i == -1 || minDist < 0) {\\r\\n throw new RuntimeException(\\\"Internal error. Wrong minDist index.\\\");\\r\\n }\\r\\n\\r\\n // merging node i and j\\r\\n// System.out.println(\\\"Merging \\\" + i + \\\" and \\\" + j + \\\", min dist = \\\" + minDist);\\r\\n root = new Node();\\r\\n root.left = nodes[i];\\r\\n root.right = nodes[j];\\r\\n root.distance = minDist;\\r\\n root.leafs = root.left.leafs + root.right.leafs;\\r\\n\\r\\n root.dy = (root.left.dy + root.right.dy) / 2;\\r\\n root.dx = (int) (minDist / high * dx_for_dendrogram);\\r\\n\\r\\n // updating\\r\\n nodes[i] = root;\\r\\n nodes[j] = null;\\r\\n int g1n = getGroup(root, g1, 0);\\r\\n for (int ii = 0; ii < n; ii++) {\\r\\n dist[ii][j] = dist[j][ii] = -1;\\r\\n if (ii != i) {\\r\\n int g2n = getGroup(nodes[ii], g2, 0);\\r\\n dist[ii][i] = dist[i][ii] = distanceBetweenGroups(g1, g1n, g2, g2n);\\r\\n }\\r\\n }\\r\\n count--;\\r\\n }\\r\\n\\r\\n// System.out.println(\\\"Done\\\");\\r\\n return root;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9b6a474564ae6ac4d0c5b146f1f9e8c\",\n \"score\": \"0.48848122\",\n \"text\": \"public void genCluster(Node n, long baseID)\\r\\n/* 167: */ throws IOException\\r\\n/* 168: */ {\\r\\n/* 169:250 */ Stack st = new Stack();\\r\\n/* 170:251 */ Hashtable ht = new Hashtable();\\r\\n/* 171: */ \\r\\n/* 175:256 */ st.push(n);\\r\\n/* 176:262 */ while (!st.empty())\\r\\n/* 177: */ {\\r\\n/* 178:264 */ Node tmp = (Node)st.peek();\\r\\n/* 179:265 */ if (tmp.isCluster())\\r\\n/* 180: */ {\\r\\n/* 181:267 */ String strongestNode = findStrongestNode(tmp);\\r\\n/* 182:268 */ String hkey = \\\"SS_\\\" + tmp.name_d;\\r\\n/* 183:273 */ if (ht.containsKey(tmp.getUniqueID()))\\r\\n/* 184: */ {\\r\\n/* 185:275 */ ht.remove(tmp.getUniqueID());\\r\\n/* 187:277 */ st.pop();\\r\\n/* 188: */ }\\r\\n/* 189: */ else\\r\\n/* 190: */ {\\r\\n/* 191:284 */ ht.put(tmp.getUniqueID(), tmp.getUniqueID());\\r\\n/* 192: */ \\r\\n/* 196:289 */ String cName = \\\"SS-L\\\" + tmp.nodeLevel + strongestNode;\\r\\n/* 197:290 */ long clustID = tmp.nodeID + baseID++;\\r\\n/* 198: */ \\r\\n/* 199:292 */ for (int j = 0; j < tmp.children.length; j++) {\\r\\n/* 204:301 */ st.push(tmp.children[j]);\\r\\n/* 205: */ }\\r\\n/* 206: */ }\\r\\n/* 207: */ }\\r\\n/* 208: */ else\\r\\n/* 209: */ {\\r\\n\\t\\t\\t\\t\\t this.writer_d.write(\\\"contain \\\" + tmp.getName() + \\\"cluster \\\" + tmp.getName() + \\\"\\\\n\\\");\\r\\n\\t/* 211:311 */ \\r\\n/* 210:310 */ st.pop();\\r\\n/* 212: */ }\\r\\n/* 213: */ }\\r\\n/* 214: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2def8ee59df03f605a81fd1d63939f9a\",\n \"score\": \"0.4884382\",\n \"text\": \"public Graph<Integer, DefaultWeightedEdge> generateKCliqueDS(int n_clique) throws IOException, InterruptedException {\\n\\t\\t//Copy of graph to modify\\n\\t\\tGraph<Integer, DefaultWeightedEdge> graph \\n\\t\\t\\t= new SimpleWeightedGraph<>(DefaultWeightedEdge.class);\\n\\t\\tGraphs.addGraph(graph, graph_org);\\n\\t\\tdouble shapeCount = 0;\\n\\t\\tint nodeCount = graph.vertexSet().size();\\n\\t\\t\\n\\t\\t//Priority queue of every node and the number of shapes it participates in\\n\\t\\tPriorityQueue<Node> pq_degrees = new PriorityQueue<Node>(new Comparator<Node>() {\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic int compare(Node a, Node b) {\\n\\t\\t\\t\\treturn Integer.compare(a.degree, b.degree);\\n\\t\\t\\t}\\n\\t\\t});\\n\\t\\t\\n\\t\\t\\n\\t\\t//Generate list of elems via MACE\\n\\t\\tString filename = \\\"test\\\";\\n\\t\\t\\n\\t\\tGraphToMACE e = new GraphToMACE(graph, filename);\\n\\t\\te.parseInput();\\n\\t\\tString command = \\n\\t\\t\\t\\t\\\"./mace C -l \\\"+n_clique+\\\" -u \\\"+n_clique+\\\" ./MACEInput/\\\"+filename+\\\".in ./ShapeLists/\\\" + filename+ \\\".shapes\\\";\\n\\t\\tProcess p = Runtime.getRuntime().exec(command);\\n\\t\\tp.waitFor();\\n\\t\\t\\n\\t\\t//Construct Degree Table\\n\\t\\tNode[] nodeToObject = new Node[nodeCount];\\n\\t\\tint[] degreeOfIndex = new int[nodeCount];\\n\\t\\tvar br = new BufferedReader(new FileReader(\\\"./ShapeLists/\\\"+filename+\\\".shapes\\\"));\\n\\t\\tString s = \\\"\\\";\\n\\t\\tStringTokenizer st;\\n\\t\\t//Parse MACE output\\n\\t\\twhile((s = br.readLine()) != null) {\\n\\t\\t\\tst = new StringTokenizer(s);\\n\\t\\t\\twhile(st.hasMoreTokens()) {\\n\\t\\t\\t\\tvar elemInShape = Integer.parseInt(st.nextToken());\\n\\t\\t\\t\\tdegreeOfIndex[elemInShape]++;\\n\\t\\t\\t}\\n\\t\\t\\tshapeCount++;\\n\\t\\t}\\n\\t\\tbr.close();\\n\\t\\t\\n\\t\\t//Populate priority queue\\n\\t\\tfor(int i = 0; i < degreeOfIndex.length; i++) {\\n\\t\\t\\tNode n = new Node(i, degreeOfIndex[i]);\\n\\t\\t\\t\\n\\t\\t\\tnodeToObject[i] = n;\\n\\t\\t\\tpq_degrees.add(nodeToObject[i]);\\n\\t\\t}\\n\\t\\t\\n\\t\\t//Max Shape Ratio alg\\n\\t\\tArrayList<Integer> removalOrder = new ArrayList<Integer>();\\n\\t\\tint idealStop = 0;\\n\\t\\tdouble maxRatio = (double) shapeCount/pq_degrees.size();\\n\\t\\tint itr_counter = 0;\\n\\t\\twhile(nodeCount > 0) {\\n\\t\\t\\t//Remove min node\\n\\t\\t\\tNode minVertex = pq_degrees.poll();\\n\\t\\t\\t\\n\\t\\t\\t//Update neighbors - n choose n_clique\\n\\t\\t\\tvar neighbors = Graphs.neighborListOf(graph, minVertex.key);\\n\\t\\t\\t//Is a clique containing that node even possible\\n\\t\\t\\tif(neighbors.size() >= n_clique - 1) { \\n\\t\\t\\t\\t//Generate possible combinations for vertices to comprise shape\\n\\t\\t\\t\\tCombinations cb = new Combinations(neighbors.size(), n_clique - 1);\\n\\t\\t\\t\\tvar cb_itr = cb.iterator();\\n\\t\\t\\t\\twhile(cb_itr.hasNext()) {\\n\\t\\t\\t\\t\\tint[] combination_set = cb_itr.next();\\n\\t\\t\\t\\t\\t//if curr_set is a clique, decrement each vertex degree\\n\\t\\t\\t\\t\\tif(isClique(graph, neighbors, combination_set)) {\\n\\t\\t\\t\\t\\t\\tfor(int elem : combination_set) {\\n\\t\\t\\t\\t\\t\\t\\tint currElemVertex = neighbors.get(elem);\\n\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t//Update degree table\\n\\t\\t\\t\\t\\t\\t\\tdegreeOfIndex[currElemVertex]--;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t//Update priority queue\\n\\t\\t\\t\\tfor(var vertex : neighbors) {\\n\\t\\t\\t\\t\\tpq_degrees.remove(nodeToObject[vertex]);\\n\\t\\t\\t\\t\\tnodeToObject[vertex].degree = degreeOfIndex[vertex];\\n\\t\\t\\t\\t\\tpq_degrees.add(nodeToObject[vertex]);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t//Update Values\\n\\t\\t\\tshapeCount -= minVertex.degree;\\n\\t\\t\\tnodeCount = pq_degrees.size();\\n\\t\\t\\tdegreeOfIndex[minVertex.key] = 0;\\n\\t\\t\\tremovalOrder.add(minVertex.key);\\n\\t\\t\\tgraph.removeVertex(minVertex.key);\\n\\t\\t\\t\\n\\t\\t\\t//Keep track of running max ratio as well as subset of nodes\\n\\t\\t\\tif(nodeCount > 0 && (double)shapeCount/nodeCount > maxRatio) {\\n\\t\\t\\t\\tmaxRatio = Math.max(maxRatio, shapeCount/nodeCount);\\n\\t\\t\\t\\tidealStop = itr_counter;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\titr_counter++;\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t//Collect nodes not part of our optimal subgraph\\n\\t\\tHashSet<Integer> optimal = new HashSet<>();\\n\\t\\tfor(int i = idealStop + 1; i < removalOrder.size(); i++) {\\n\\t\\t\\toptimal.add(removalOrder.get(i));\\n\\t\\t}\\n\\t\\t\\n\\t\\tGraph<Integer, DefaultWeightedEdge> subgraph = new AsSubgraph<Integer, DefaultWeightedEdge>(graph_org, optimal);\\n\\t\\t\\n\\t\\treturn subgraph;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ed55b2409bcb4c2200b018a59b0ee2e\",\n \"score\": \"0.48820204\",\n \"text\": \"public void compute() {\\n\\t\\tif(end-start>100){\\n\\t\\t\\tint middle = (start+end)/2;\\n\\t\\t\\tTask task1 = new Task(this.getName() +\\\"1\\\" ,start,middle,array);\\n\\t\\t\\tTask task2 = new Task(this.getName() +\\\"2\\\" ,middle,end,array);\\n\\t\\t\\tthis.invokeAll(task1,task2);\\n\\t\\t}else{\\n\\t\\t\\tfor(int i=start;i<end;i++){\\n\\t\\t\\t\\tarray[i]++;\\n\\t\\t\\t}\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tThread.sleep(50);\\n\\t\\t\\t} catch (InterruptedException e) {\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"307957b92d594dd5dd741efa248b407e\",\n \"score\": \"0.48776343\",\n \"text\": \"int [][]FCFS( int arrival_time [], int job_size[] ) {\\n \\n\\n int size=arrival_time.length;\\n int jobArrivedTime[]= new int[size];\\n int jobWaitTime[] = new int[size];\\n int jobStartAt[] = new int[size];\\n int jobFinishedAt[] = new int[size];\\n int result[][]= new int[size+1][size+1];\\n //arrival time is computed\\n for(int i=0;i<size;i++){\\n jobArrivedTime[i] = arrival_time[i];\\n \\n }\\n //finished time is computed\\n jobFinishedAt[0]=job_size[0];\\n for(int i=1;i<size;i++){\\n \\tif(jobArrivedTime[i] > jobFinishedAt[i-1] ){\\n \\t\\t\\n \\t\\tjobFinishedAt[i] = jobArrivedTime[i] + job_size [i] - 1 ;\\n \\t}\\n \\telse {\\n jobFinishedAt[i] = jobFinishedAt[i-1] + job_size[i] ;\\n \\t}\\n \\t}\\n //start time is computed\\n jobStartAt[0] = 1;\\n for(int i=1;i<size;i++){\\n \\tif(jobArrivedTime[i] > jobFinishedAt[i-1] ){\\n \\t\\tjobStartAt[i]=jobArrivedTime[i];\\n \\t}\\n \\telse {\\n jobStartAt[i] = jobFinishedAt[i-1] + 1;\\n \\t}\\n \\t}\\n //wait time is computed\\n jobWaitTime[0]=0;\\n for(int i=1;i<size;i++){\\n \\tif(jobArrivedTime[i] > jobFinishedAt[i-1] ){\\n \\t\\tjobWaitTime[i]=0;\\n \\t}\\n \\telse{\\n jobWaitTime[i]= jobStartAt[i] - jobArrivedTime[i];\\n \\t}\\n \\t}\\n int k=1;\\n System.out.println(\\\"job\\\\tjobArrivedTime\\\\tjobWaitTime\\\\tjobStartAt\\\\tjobFinishedAt\\\" );\\n //FCFS is created\\n for(int i=0;i<size;i++){\\n \\n result[i][0]=k++;\\n result[i][1]=jobArrivedTime[i];\\n result[i][2]=jobWaitTime[i];\\n result[i][3]=jobStartAt[i];\\n result[i][4]=jobFinishedAt[i];\\n \\n }\\n for(int i=0;i<size;i++){\\n System.out.println();\\n for(int j=0;j<size+1;j++){\\n System.out.print(result[i][j] + \\\"\\\\t\\\\t\\\");\\n }\\n }\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"66a730d569ae940b4065fe1f3b814f4c\",\n \"score\": \"0.48770037\",\n \"text\": \"public Double buildSchedule(List<Job> jobs, final Set<Worker> workers){\\n\\t\\tDouble totalCost = 0.0;\\n\\t\\t\\n\\t\\tfor(int i=0; i<10000;i++){ // Loop for time\\n\\t\\t\\t// Create priority queue to sort jobs as per priority heuristics\\n\\t\\t\\tPriorityQueue<JobInstance> ordJobs = new PriorityQueue<>();\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tfor (Job job: jobs){\\n\\t\\t\\t\\t// Ignore future jobs\\n\\t\\t\\t\\tif(job.start>i) continue;\\n\\n\\t\\t\\t\\t// Add new instance of the job for each worker\\n\\t\\t\\t\\tfor(Worker w:workers){\\n\\t\\t\\t\\t\\tJobInstance ji = workJobAloc.get(w);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tif(ji==null || !ji.job.getID().equals(job.getID())){\\n\\t\\t\\t\\t\\t\\tji = new JobInstance(job, i);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tordJobs.add(ji);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n//\\t\\t\\tordJobs.forEach((ji)->{\\n//\\t\\t\\t\\tSystem.out.print(\\\"\\\\t\\\"+ji);\\n//\\t\\t\\t\\t});\\n//\\t\\t\\tSystem.out.println();\\n\\t\\t\\t\\n\\t\\t\\t// Fetch top n jobs from priority queue\\n\\t\\t\\tList<JobInstance> availJobs = new LinkedList<>();\\n\\t\\t\\tSet<Worker> availWorkers = new HashSet<>(workers);\\n\\t\\t\\tfor(int j=0, lim=Math.min(workers.size(), ordJobs.size()); j<lim;j++){\\n\\t\\t\\t\\tJobInstance ji = ordJobs.poll();\\n\\t\\t\\t\\tWorker w = workJobAloc.get(ji);\\n\\t\\t\\t\\tif(w != null )\\n\\t\\t\\t\\t\\tavailWorkers.remove(w);\\n\\t\\t\\t\\telse\\t\\n\\t\\t\\t\\t\\tavailJobs.add(ji);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// Now allocate new jobs\\n\\t\\t\\tIterator<Worker> iterWorkers = availWorkers.iterator();\\n\\t\\t\\tfor(JobInstance ji: availJobs){\\n\\t\\t\\t\\tif(!iterWorkers.hasNext()) break; // No more workers available\\n\\t\\t\\t\\tWorker w = iterWorkers.next();\\n\\t\\t\\t\\tworkJobAloc.put(w, ji);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tfor(Worker w: workers){\\n\\t\\t\\t\\tJobInstance ji = workJobAloc.get(w);\\n\\t\\t\\t\\tif(ji == null) continue;\\t// Worker idle \\n\\t\\t\\t\\tji.addStep(i);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif(ji.job.getRemaining() <= 0){\\n\\t\\t\\t\\t\\tworkJobAloc.archiveEntry(w);\\n\\t\\t\\t\\t\\tji.finishJob(i+1);\\n\\t\\t\\t\\t\\ttotalCost += ji.job.getCost();\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tjobs.remove(ji.job);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n//\\t\\t\\tSystem.out.println(workJobAloc);\\n\\t\\t\\tif(workJobAloc.isEmpty() && jobs.isEmpty()) break;\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn totalCost;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9149f6b557fc6cb5986de0d3289f317b\",\n \"score\": \"0.48762655\",\n \"text\": \"int getFixedNodesCount();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"84b6aef19a2daae0cc5529a271c20190\",\n \"score\": \"0.4875921\",\n \"text\": \"private void computerDesity() {\\n\\n\\t\\trho = new double[numInstances()];\\n\\t\\tfor (int i = 0; i < numInstances() - 1; i++) {\\n\\n\\t\\t\\tfor (int j = i + 1; j < numInstances(); j++) {\\n\\t\\t\\t\\tdouble tempDistance = distanceManhattan(i, j);\\n\\t\\t\\t\\tif (tempDistance < dc) {\\n\\t\\t\\t\\t\\trho[i]++;\\n\\t\\t\\t\\t\\trho[j]++;\\n\\t\\t\\t\\t} // of if\\n\\n\\t\\t\\t} // of for j\\n\\n\\t\\t} // of for i\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6fdd0d62ff8d52d053b20a83defe0f1\",\n \"score\": \"0.4873446\",\n \"text\": \"public void calculateScore(){\\n\\t\\tList<Node> nodes = graph.getNodes();\\r\\n\\t\\tfor(Node node: nodes){\\r\\n\\t\\t \\tnode.rspre = 1;\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//diffusion to stable state\\r\\n\\t\\tdouble error = 10000;\\r\\n\\t\\tdouble error_threshold=0.00002;\\r\\n\\t\\tint step = 1;\\r\\n\\t\\twhile(error>error_threshold){\\r\\n\\t\\t\\t//System.out.println(\\\"step: \\\"+step+\\\" error: \\\"+error);\\r\\n\\t\\t\\t//int count = 0;\\r\\n\\t\\t\\tdouble other = 0;\\r\\n\\t\\t\\tfor(Node node: nodes){\\r\\n\\t\\t\\t\\tif(node.getOutDegree() == 0 ){ \\r\\n\\t\\t\\t\\t\\tdouble partscore = (1-c)*node.rspre/(double)graph.getGraphSize();\\r\\n\\t\\t\\t\\t\\tother = other + partscore;\\r\\n\\t\\t\\t\\t\\tcontinue;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tint under = node.getOutDegree();\\r\\n\\t\\t\\t\\tList<Node> leaders = node.getLeaders();\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tdouble partscore = (1-c)*node.rspre/(double)under;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\tfor(Node leader: leaders)\\r\\n\\t\\t\\t\\t\\tleader.rsafter = leader.rsafter + partscore;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t//caculate error\\r\\n\\t\\t\\terror = 0;\\r\\n\\t\\t\\tfor(Node node: nodes){\\r\\n\\t\\t\\t\\tnode.rsafter = node.rsafter + c + other;\\r\\n\\t\\t\\t\\terror = error + Math.abs(node.rsafter - node.rspre);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\terror = error/(double)graph.getGraphSize();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfor(Node node: nodes){\\r\\n\\t\\t\\t\\tnode.rspre = node.rsafter;\\r\\n\\t\\t\\t\\tnode.rsafter = 0;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tstep++;\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tSystem.out.println(\\\"Done!\\\");\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"36a500b64ad7ae2e394f2afc2dd7ff0f\",\n \"score\": \"0.486239\",\n \"text\": \"public int gradNod(Person p){\\n validareNod(p);\\r\\n return graph.get(p).size();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80e1e7c0672a898c93600a45a42a82a6\",\n \"score\": \"0.4861081\",\n \"text\": \"double cost(Node start, Node candidate, Node end);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7c14d4d3ec5307b0e8e2151da1a7588b\",\n \"score\": \"0.4859167\",\n \"text\": \"public final double getMinNrOfJobs ()\\n {\\n return this.minNrOfJobs;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990997,"cells":{"query_id":{"kind":"string","value":"25197b4cf814864ecd440f23b9149cb3"},"query":{"kind":"string","value":"TODO Autogenerated method stub"},"positive_passages":{"kind":"list like","value":[{"docid":"088f8966fc9274cec52dc1a4b5d5327f","score":"0.0","text":"@Override\n\t\t\t\t\tpublic void onScrolled(RecyclerView recyclerView, int dx,\n\t\t\t\t\t\t\tint dy) {\n\t\t\t\t\t\tsuper.onScrolled(recyclerView, dx, dy);\n\t\t\t\t\t\tfor (int i = 0; i < rv_main_categorybars\n\t\t\t\t\t\t\t\t.getChildCount(); i++) {\n\t\t\t\t\t\t\tView itemView = rv_main_categorybars.getChildAt(i);\n\n\t\t\t\t\t\t\tTextView title = (TextView) itemView\n\t\t\t\t\t\t\t\t\t.findViewById(R.id.text1);\n\t\t\t\t\t\t\tif (title.getText().equals(\n\t\t\t\t\t\t\t\t\tmCategorybars.get(statepage).name)) {\n\t\t\t\t\t\t\t\tchangeTextViewState(title, true);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}","title":""}],"string":"[\n {\n \"docid\": \"088f8966fc9274cec52dc1a4b5d5327f\",\n \"score\": \"0.0\",\n \"text\": \"@Override\\n\\t\\t\\t\\t\\tpublic void onScrolled(RecyclerView recyclerView, int dx,\\n\\t\\t\\t\\t\\t\\t\\tint dy) {\\n\\t\\t\\t\\t\\t\\tsuper.onScrolled(recyclerView, dx, dy);\\n\\t\\t\\t\\t\\t\\tfor (int i = 0; i < rv_main_categorybars\\n\\t\\t\\t\\t\\t\\t\\t\\t.getChildCount(); i++) {\\n\\t\\t\\t\\t\\t\\t\\tView itemView = rv_main_categorybars.getChildAt(i);\\n\\n\\t\\t\\t\\t\\t\\t\\tTextView title = (TextView) itemView\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.findViewById(R.id.text1);\\n\\t\\t\\t\\t\\t\\t\\tif (title.getText().equals(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tmCategorybars.get(statepage).name)) {\\n\\t\\t\\t\\t\\t\\t\\t\\tchangeTextViewState(title, true);\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"1acc57d42c31dee937ac33ea6f2a5b0b","score":"0.6836411","text":"@Override\r\n\tpublic void comer() {\n\t\t\r\n\t}","title":""},{"docid":"33d41636b65afa8267c9085dae3d1a2d","score":"0.6679176","text":"private void apparence() {\r\n\r\n\t}","title":""},{"docid":"b8a45528a3f2e2c5ca531b00160fddfb","score":"0.66538197","text":"@Override\n\tpublic void nacer() {\n\n\t}","title":""},{"docid":"b8a45528a3f2e2c5ca531b00160fddfb","score":"0.66538197","text":"@Override\n\tpublic void nacer() {\n\n\t}","title":""},{"docid":"f777356e2cd2fecd871f35f7e556fda8","score":"0.6646134","text":"public void mo3640e() {\n }","title":""},{"docid":"80d20df1cc75d8fa96c12c49a757fc43","score":"0.65323734","text":"@Override\n\tprotected void getExras() {\n\t\t\n\t}","title":""},{"docid":"5f8d37aee09bc1e9959f768d6eb0183c","score":"0.6481211","text":"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}","title":""},{"docid":"5314003d8592219f71035b81985fabc0","score":"0.64631","text":"@Override\n\tpublic void roule() {\n\t\t\n\t}","title":""},{"docid":"d0a79718ff9c5863618b11860674ac5e","score":"0.6461734","text":"@Override\n\tpublic void comer() {\n\n\t}","title":""},{"docid":"1f7c82e188acf30d59f88faf08cf24ac","score":"0.623686","text":"@Override\r\n\t\t\tpublic void ayuda() {\n\r\n\t\t\t}","title":""},{"docid":"1f7c82e188acf30d59f88faf08cf24ac","score":"0.623686","text":"@Override\r\n\t\t\tpublic void ayuda() {\n\r\n\t\t\t}","title":""},{"docid":"10ead2e988bf977cb8edb2bacf974891","score":"0.61546874","text":"@Override\n\tprotected void init() {\n\t\t\n\t}","title":""},{"docid":"f9de8c9acb961a9d05ed00de5fe361e7","score":"0.60638905","text":"@Override\n\tpublic void seRetrage() {\n\t\t\n\t}","title":""},{"docid":"483ae2cb94563f8e11864a532e44b464","score":"0.606149","text":"@Override\r\n public void perturb() {\n \r\n }","title":""},{"docid":"e41230eaa4480036f1db3ae4856b5e2c","score":"0.6048755","text":"@Override\n\tpublic void evoluer() {\n\t\t\n\t}","title":""},{"docid":"1fd4f5b0b471084e004373c89c1cf248","score":"0.6040993","text":"@Override\r\n\tpublic void sen() {\n\t\t\r\n\t}","title":""},{"docid":"5f1811a241e41ead4415ec767e77c63d","score":"0.6023245","text":"@Override\n\tprotected void init() {\n\n\t}","title":""},{"docid":"432a53d7cc7bff50c3cce7662418fe22","score":"0.60228735","text":"private static void daelijeom() {\n\t\t\n\t}","title":""},{"docid":"feb1a9485d06df38283881186fb528a9","score":"0.6014977","text":"@Override\n \tprotected void initialize() {\n \n \t}","title":""},{"docid":"1f6ca7603428a226b143ebf504f69fdb","score":"0.6005143","text":"@Override\n protected void initialize() {\n \n }","title":""},{"docid":"609ec2ff060d9d4cb0276468f482734d","score":"0.59771466","text":"public void mo89673a() {\n }","title":""},{"docid":"f3ea867fdaa4b61546bfc393614a093c","score":"0.59687567","text":"@Override\n\tpublic void setingInicial() {\n\t\t\n\t}","title":""},{"docid":"3211287bc24304a8ca2975647e8a262e","score":"0.59549016","text":"public void mo1702b() {\n }","title":""},{"docid":"e98e1f8ddb7a94a5d95c29c94232f737","score":"0.5943817","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t\t\r\n\t}","title":""},{"docid":"2d61391fe8770661f25917f3770f2a26","score":"0.5926535","text":"@Override\n\t\tpublic void init(){\n\t\t\t\n\t\t}","title":""},{"docid":"a55a150557f80abcbd733ee3162b0661","score":"0.5925673","text":"private void m18301a() {\n }","title":""},{"docid":"6a8c6480f9fa5ab89d0437d00ffffccc","score":"0.591947","text":"@Override\n public void tirer() {\n\n }","title":""},{"docid":"8f8a1c1dfa100614be8cac1247e068d5","score":"0.59192646","text":"@Override\r\n\t\t\tpublic void work() {\n\t\t\t\t\r\n\t\t\t}","title":""},{"docid":"619a28ba3c7707bdf8bb1451d5c3d12b","score":"0.5910928","text":"public void mo25069a() {\n }","title":""},{"docid":"28237d6ae20e1aa35aaca12e05c950c9","score":"0.5902906","text":"@Override\n\tpublic void sacrifier() {\n\t\t\n\t}","title":""},{"docid":"3e6e2e657db69bfc88c40c8467801266","score":"0.5899844","text":"@Override\r\n\tpublic void ben() {\n\t\t\r\n\t}","title":""},{"docid":"1134c4caabd33b9bbd414763740fddde","score":"0.5896682","text":"@Override\n\tpublic void respirar() {\n\n\t}","title":""},{"docid":"ab499170bffb402933a50d63a97e69dd","score":"0.5896488","text":"@Override\r\n\tprotected void init() {\n\t}","title":""},{"docid":"1dc1426b3b1c079ac18377166a6b34d3","score":"0.5893354","text":"@Override\n public int getOrder() {\n return 0;\n }","title":""},{"docid":"f737e2251cf43d326f43b44297696e55","score":"0.58891016","text":"@Override\n\tpublic void patrol() {\n\n\t}","title":""},{"docid":"de8c2aa495b8cdade7e8895e58745ea2","score":"0.5887025","text":"public void afficher() {\n\t\t\n\t}","title":""},{"docid":"77f859c241fd5e1d997f67c3b890833e","score":"0.5886342","text":"@Override\n\tpublic void dormir() {\n\t\t\n\t}","title":""},{"docid":"13e4409784fd6f872b474e6effe9726e","score":"0.5879506","text":"@Override\n protected void initialization() {\n\n\n\n }","title":""},{"docid":"bafce2e94d56e61baeadcb37047f6035","score":"0.5858384","text":"@Override\n\tprotected void postprocess() {\n\t}","title":""},{"docid":"5aa237d31e744d1e0729621e464fcfb2","score":"0.585451","text":"@Override\r\n\tprotected void DataInit() {\n\r\n\t}","title":""},{"docid":"5aa237d31e744d1e0729621e464fcfb2","score":"0.585451","text":"@Override\r\n\tprotected void DataInit() {\n\r\n\t}","title":""},{"docid":"5aa237d31e744d1e0729621e464fcfb2","score":"0.585451","text":"@Override\r\n\tprotected void DataInit() {\n\r\n\t}","title":""},{"docid":"9f52ad7c10a190c6268e275fdb4c1581","score":"0.5853263","text":"@Override\n\tpublic void jealous() {\n\t\t\n\t}","title":""},{"docid":"9f52ad7c10a190c6268e275fdb4c1581","score":"0.5853263","text":"@Override\n\tpublic void jealous() {\n\t\t\n\t}","title":""},{"docid":"cdf2a119ee69429ad4420d45c29db1b6","score":"0.5849137","text":"@Override\n\tpublic void netword() {\n\t\t\n\t}","title":""},{"docid":"2bcac1bab4eaa6c9cc4cb7e33c684cef","score":"0.5848443","text":"public void mo1691a() {\n }","title":""},{"docid":"5f122c528716d4e28cd3a6695d27b80f","score":"0.584121","text":"@Override\n\tpublic void morir() {\n\n\t}","title":""},{"docid":"5f122c528716d4e28cd3a6695d27b80f","score":"0.584121","text":"@Override\n\tpublic void morir() {\n\n\t}","title":""},{"docid":"339f0371e7ea38d751e17fe6de3b3608","score":"0.58367133","text":"@Override\n\tpublic void crecer() {\n\n\t}","title":""},{"docid":"339f0371e7ea38d751e17fe6de3b3608","score":"0.58367133","text":"@Override\n\tpublic void crecer() {\n\n\t}","title":""},{"docid":"6ed3e363c02164bd00163fa46e2c48c2","score":"0.58366287","text":"@Override\n public void init_moduule() {\n \n }","title":""},{"docid":"3ea264268cd945e9281ac9d06e9bb7c5","score":"0.5829954","text":"@Override\n\tpublic void euphoria() {\n\t\t\n\t}","title":""},{"docid":"3ea264268cd945e9281ac9d06e9bb7c5","score":"0.5829954","text":"@Override\n\tpublic void euphoria() {\n\t\t\n\t}","title":""},{"docid":"ce91051d32625345f2bf3562abbb93de","score":"0.5794177","text":"@Override\n\tprotected void inicializar() {\n\t}","title":""},{"docid":"beee84210d56979d0068a8094fb2a5bd","score":"0.5792378","text":"@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","title":""},{"docid":"54b1134554bc066c34ed30a72adb660c","score":"0.57844025","text":"@Override\n\tprotected void initData() {\n\n\t}","title":""},{"docid":"b04ed49986fb3f4321a90ec19ab7f86d","score":"0.57759553","text":"@Override\n public void alistar() {\n }","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"849edaa5bbcc7511e16697ad05c01712","score":"0.57732296","text":"@Override\n\tpublic void avanzar() {\n\t\t\n\t}","title":""},{"docid":"10e00e5505d97435b723aeadb7afb929","score":"0.57712233","text":"@Override\n\tpublic void pintar2() {\n\t\t\n\t}","title":""},{"docid":"683eea6c39ec4e6df90f6be05200559d","score":"0.5769485","text":"@Override\r\n public void confer(){\n \r\n }","title":""},{"docid":"728d084a23664ecf9b5c04acb6367b9c","score":"0.5769356","text":"@Override\r\n\tpublic void descarnsar() {\n\t\t\r\n\t}","title":""},{"docid":"359987993ad84757f9d7a12eaf38d2d7","score":"0.5769273","text":"public final void mo59419g() {\n }","title":""},{"docid":"0e6111ae009ad752a364e5e9fb168e98","score":"0.5768801","text":"@Override\n\tpublic void volumne() {\n\t\t\n\t}","title":""},{"docid":"3f651ef5a6fad17e313e8da4ea72b6e3","score":"0.57645357","text":"@Override\n\tpublic void CT() {\n\t\t\n\t}","title":""},{"docid":"615018f0186427ab904e872db6726b2d","score":"0.5759138","text":"@Override\n public void init()\n {\n \n }","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"e634836bc1d61a011e04bfb67a971792","score":"0.5745885","text":"@Override\r\n\tpublic void sair() {\n\t\t\r\n\t}","title":""},{"docid":"a7cff18dc205a0d79dbe54bb988e6894","score":"0.57428306","text":"public void emettreSon() {\n\t\t\r\n\t}","title":""},{"docid":"c13e6a1b7c130afa9fb0f34225bea4ef","score":"0.573645","text":"protected void mo1555b() {\n }","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.57337177","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"ac5a7a92eda66d2b7ef40199230fa4af","score":"0.5731894","text":"@Override\n\tpublic void arbeiteInPizzeria() {\n\n\t}","title":""},{"docid":"d1c2c284b75d7d46145b6f407496cd96","score":"0.5725441","text":"@Override\n\t\tprotected void initParameters() {\n\t\t\t\n\t\t}","title":""},{"docid":"a937c607590931387a357d03c3b0eef4","score":"0.5715831","text":"@Override\n\tprotected void initialize() {\n\n\t}","title":""},{"docid":"a937c607590931387a357d03c3b0eef4","score":"0.5715831","text":"@Override\n\tprotected void initialize() {\n\n\t}","title":""},{"docid":"0fc890bce2cd6e7184e33036b92f8217","score":"0.57140535","text":"public void mo55254a() {\n }","title":""},{"docid":"65022f0bb57de78da8518cd156b102e6","score":"0.57112384","text":"private void init(){\n\t\t\t\n\t\t}","title":""},{"docid":"216da885329e8d80cdc3490fda895c11","score":"0.57087225","text":"@Override\n\tpublic void yaz1() {\n\t\t\n\t}","title":""},{"docid":"3c6f91c038ca7ffdab72b5c233b827c5","score":"0.5705329","text":"@Override\n\tprotected void initMethod() {\n\t}","title":""},{"docid":"d3ea98d4cf6d33f166c8de2a1f7ab5a5","score":"0.5697742","text":"@Override\r\n\tpublic void Collusion() {\n\t\t\r\n\t}","title":""},{"docid":"d3ea98d4cf6d33f166c8de2a1f7ab5a5","score":"0.5697742","text":"@Override\r\n\tpublic void Collusion() {\n\t\t\r\n\t}","title":""},{"docid":"5f3e16954465fbae384d88f411211419","score":"0.56972444","text":"@Override\r\n public int E_generar() {\r\n return 0;\r\n }","title":""},{"docid":"365a661b2084f764f5e458915ff735ac","score":"0.56864643","text":"@Override\n public int getMunition() {\n return 0;\n }","title":""},{"docid":"40539b782464082aab77fae6b047eade","score":"0.5681723","text":"@Override\n\tprotected int get_count() {\n\t\treturn 1;\n\t}","title":""},{"docid":"b1e3eb9a5b9dff21ed219e48a8676b34","score":"0.56774884","text":"@Override\n public void memoria() {\n \n }","title":""},{"docid":"5f628d368579dd40ef68362831006940","score":"0.56769013","text":"@Override\n\tpublic void fahreFahrzeug() {\n\n\t}","title":""},{"docid":"5ae17f2516c21590c850e6758048effe","score":"0.56625473","text":"@Override\n public int getID()\n {\n return 0;\n }","title":""},{"docid":"b8cd427648ea50c94f93c47d407d10a0","score":"0.5660459","text":"public void mo3639d() {\n }","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""}],"string":"[\n {\n \"docid\": \"1acc57d42c31dee937ac33ea6f2a5b0b\",\n \"score\": \"0.6836411\",\n \"text\": \"@Override\\r\\n\\tpublic void comer() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"33d41636b65afa8267c9085dae3d1a2d\",\n \"score\": \"0.6679176\",\n \"text\": \"private void apparence() {\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8a45528a3f2e2c5ca531b00160fddfb\",\n \"score\": \"0.66538197\",\n \"text\": \"@Override\\n\\tpublic void nacer() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8a45528a3f2e2c5ca531b00160fddfb\",\n \"score\": \"0.66538197\",\n \"text\": \"@Override\\n\\tpublic void nacer() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f777356e2cd2fecd871f35f7e556fda8\",\n \"score\": \"0.6646134\",\n \"text\": \"public void mo3640e() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80d20df1cc75d8fa96c12c49a757fc43\",\n \"score\": \"0.65323734\",\n \"text\": \"@Override\\n\\tprotected void getExras() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f8d37aee09bc1e9959f768d6eb0183c\",\n \"score\": \"0.6481211\",\n \"text\": \"@Override\\r\\n\\t\\t\\tpublic void annadir() {\\n\\r\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5314003d8592219f71035b81985fabc0\",\n \"score\": \"0.64631\",\n \"text\": \"@Override\\n\\tpublic void roule() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d0a79718ff9c5863618b11860674ac5e\",\n \"score\": \"0.6461734\",\n \"text\": \"@Override\\n\\tpublic void comer() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f7c82e188acf30d59f88faf08cf24ac\",\n \"score\": \"0.623686\",\n \"text\": \"@Override\\r\\n\\t\\t\\tpublic void ayuda() {\\n\\r\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f7c82e188acf30d59f88faf08cf24ac\",\n \"score\": \"0.623686\",\n \"text\": \"@Override\\r\\n\\t\\t\\tpublic void ayuda() {\\n\\r\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10ead2e988bf977cb8edb2bacf974891\",\n \"score\": \"0.61546874\",\n \"text\": \"@Override\\n\\tprotected void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f9de8c9acb961a9d05ed00de5fe361e7\",\n \"score\": \"0.60638905\",\n \"text\": \"@Override\\n\\tpublic void seRetrage() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"483ae2cb94563f8e11864a532e44b464\",\n \"score\": \"0.606149\",\n \"text\": \"@Override\\r\\n public void perturb() {\\n \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e41230eaa4480036f1db3ae4856b5e2c\",\n \"score\": \"0.6048755\",\n \"text\": \"@Override\\n\\tpublic void evoluer() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fd4f5b0b471084e004373c89c1cf248\",\n \"score\": \"0.6040993\",\n \"text\": \"@Override\\r\\n\\tpublic void sen() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f1811a241e41ead4415ec767e77c63d\",\n \"score\": \"0.6023245\",\n \"text\": \"@Override\\n\\tprotected void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"432a53d7cc7bff50c3cce7662418fe22\",\n \"score\": \"0.60228735\",\n \"text\": \"private static void daelijeom() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"feb1a9485d06df38283881186fb528a9\",\n \"score\": \"0.6014977\",\n \"text\": \"@Override\\n \\tprotected void initialize() {\\n \\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f6ca7603428a226b143ebf504f69fdb\",\n \"score\": \"0.6005143\",\n \"text\": \"@Override\\n protected void initialize() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"609ec2ff060d9d4cb0276468f482734d\",\n \"score\": \"0.59771466\",\n \"text\": \"public void mo89673a() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f3ea867fdaa4b61546bfc393614a093c\",\n \"score\": \"0.59687567\",\n \"text\": \"@Override\\n\\tpublic void setingInicial() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3211287bc24304a8ca2975647e8a262e\",\n \"score\": \"0.59549016\",\n \"text\": \"public void mo1702b() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e98e1f8ddb7a94a5d95c29c94232f737\",\n \"score\": \"0.5943817\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d61391fe8770661f25917f3770f2a26\",\n \"score\": \"0.5926535\",\n \"text\": \"@Override\\n\\t\\tpublic void init(){\\n\\t\\t\\t\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a55a150557f80abcbd733ee3162b0661\",\n \"score\": \"0.5925673\",\n \"text\": \"private void m18301a() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6a8c6480f9fa5ab89d0437d00ffffccc\",\n \"score\": \"0.591947\",\n \"text\": \"@Override\\n public void tirer() {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f8a1c1dfa100614be8cac1247e068d5\",\n \"score\": \"0.59192646\",\n \"text\": \"@Override\\r\\n\\t\\t\\tpublic void work() {\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"619a28ba3c7707bdf8bb1451d5c3d12b\",\n \"score\": \"0.5910928\",\n \"text\": \"public void mo25069a() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28237d6ae20e1aa35aaca12e05c950c9\",\n \"score\": \"0.5902906\",\n \"text\": \"@Override\\n\\tpublic void sacrifier() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3e6e2e657db69bfc88c40c8467801266\",\n \"score\": \"0.5899844\",\n \"text\": \"@Override\\r\\n\\tpublic void ben() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1134c4caabd33b9bbd414763740fddde\",\n \"score\": \"0.5896682\",\n \"text\": \"@Override\\n\\tpublic void respirar() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ab499170bffb402933a50d63a97e69dd\",\n \"score\": \"0.5896488\",\n \"text\": \"@Override\\r\\n\\tprotected void init() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1dc1426b3b1c079ac18377166a6b34d3\",\n \"score\": \"0.5893354\",\n \"text\": \"@Override\\n public int getOrder() {\\n return 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f737e2251cf43d326f43b44297696e55\",\n \"score\": \"0.58891016\",\n \"text\": \"@Override\\n\\tpublic void patrol() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de8c2aa495b8cdade7e8895e58745ea2\",\n \"score\": \"0.5887025\",\n \"text\": \"public void afficher() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"77f859c241fd5e1d997f67c3b890833e\",\n \"score\": \"0.5886342\",\n \"text\": \"@Override\\n\\tpublic void dormir() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"13e4409784fd6f872b474e6effe9726e\",\n \"score\": \"0.5879506\",\n \"text\": \"@Override\\n protected void initialization() {\\n\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bafce2e94d56e61baeadcb37047f6035\",\n \"score\": \"0.5858384\",\n \"text\": \"@Override\\n\\tprotected void postprocess() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5aa237d31e744d1e0729621e464fcfb2\",\n \"score\": \"0.585451\",\n \"text\": \"@Override\\r\\n\\tprotected void DataInit() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5aa237d31e744d1e0729621e464fcfb2\",\n \"score\": \"0.585451\",\n \"text\": \"@Override\\r\\n\\tprotected void DataInit() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5aa237d31e744d1e0729621e464fcfb2\",\n \"score\": \"0.585451\",\n \"text\": \"@Override\\r\\n\\tprotected void DataInit() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f52ad7c10a190c6268e275fdb4c1581\",\n \"score\": \"0.5853263\",\n \"text\": \"@Override\\n\\tpublic void jealous() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f52ad7c10a190c6268e275fdb4c1581\",\n \"score\": \"0.5853263\",\n \"text\": \"@Override\\n\\tpublic void jealous() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cdf2a119ee69429ad4420d45c29db1b6\",\n \"score\": \"0.5849137\",\n \"text\": \"@Override\\n\\tpublic void netword() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2bcac1bab4eaa6c9cc4cb7e33c684cef\",\n \"score\": \"0.5848443\",\n \"text\": \"public void mo1691a() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f122c528716d4e28cd3a6695d27b80f\",\n \"score\": \"0.584121\",\n \"text\": \"@Override\\n\\tpublic void morir() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f122c528716d4e28cd3a6695d27b80f\",\n \"score\": \"0.584121\",\n \"text\": \"@Override\\n\\tpublic void morir() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"339f0371e7ea38d751e17fe6de3b3608\",\n \"score\": \"0.58367133\",\n \"text\": \"@Override\\n\\tpublic void crecer() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"339f0371e7ea38d751e17fe6de3b3608\",\n \"score\": \"0.58367133\",\n \"text\": \"@Override\\n\\tpublic void crecer() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6ed3e363c02164bd00163fa46e2c48c2\",\n \"score\": \"0.58366287\",\n \"text\": \"@Override\\n public void init_moduule() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3ea264268cd945e9281ac9d06e9bb7c5\",\n \"score\": \"0.5829954\",\n \"text\": \"@Override\\n\\tpublic void euphoria() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3ea264268cd945e9281ac9d06e9bb7c5\",\n \"score\": \"0.5829954\",\n \"text\": \"@Override\\n\\tpublic void euphoria() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce91051d32625345f2bf3562abbb93de\",\n \"score\": \"0.5794177\",\n \"text\": \"@Override\\n\\tprotected void inicializar() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"beee84210d56979d0068a8094fb2a5bd\",\n \"score\": \"0.5792378\",\n \"text\": \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"54b1134554bc066c34ed30a72adb660c\",\n \"score\": \"0.57844025\",\n \"text\": \"@Override\\n\\tprotected void initData() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b04ed49986fb3f4321a90ec19ab7f86d\",\n \"score\": \"0.57759553\",\n \"text\": \"@Override\\n public void alistar() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"849edaa5bbcc7511e16697ad05c01712\",\n \"score\": \"0.57732296\",\n \"text\": \"@Override\\n\\tpublic void avanzar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10e00e5505d97435b723aeadb7afb929\",\n \"score\": \"0.57712233\",\n \"text\": \"@Override\\n\\tpublic void pintar2() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"683eea6c39ec4e6df90f6be05200559d\",\n \"score\": \"0.5769485\",\n \"text\": \"@Override\\r\\n public void confer(){\\n \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"728d084a23664ecf9b5c04acb6367b9c\",\n \"score\": \"0.5769356\",\n \"text\": \"@Override\\r\\n\\tpublic void descarnsar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"359987993ad84757f9d7a12eaf38d2d7\",\n \"score\": \"0.5769273\",\n \"text\": \"public final void mo59419g() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e6111ae009ad752a364e5e9fb168e98\",\n \"score\": \"0.5768801\",\n \"text\": \"@Override\\n\\tpublic void volumne() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f651ef5a6fad17e313e8da4ea72b6e3\",\n \"score\": \"0.57645357\",\n \"text\": \"@Override\\n\\tpublic void CT() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"615018f0186427ab904e872db6726b2d\",\n \"score\": \"0.5759138\",\n \"text\": \"@Override\\n public void init()\\n {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e634836bc1d61a011e04bfb67a971792\",\n \"score\": \"0.5745885\",\n \"text\": \"@Override\\r\\n\\tpublic void sair() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7cff18dc205a0d79dbe54bb988e6894\",\n \"score\": \"0.57428306\",\n \"text\": \"public void emettreSon() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c13e6a1b7c130afa9fb0f34225bea4ef\",\n \"score\": \"0.573645\",\n \"text\": \"protected void mo1555b() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.57337177\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac5a7a92eda66d2b7ef40199230fa4af\",\n \"score\": \"0.5731894\",\n \"text\": \"@Override\\n\\tpublic void arbeiteInPizzeria() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1c2c284b75d7d46145b6f407496cd96\",\n \"score\": \"0.5725441\",\n \"text\": \"@Override\\n\\t\\tprotected void initParameters() {\\n\\t\\t\\t\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a937c607590931387a357d03c3b0eef4\",\n \"score\": \"0.5715831\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a937c607590931387a357d03c3b0eef4\",\n \"score\": \"0.5715831\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0fc890bce2cd6e7184e33036b92f8217\",\n \"score\": \"0.57140535\",\n \"text\": \"public void mo55254a() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65022f0bb57de78da8518cd156b102e6\",\n \"score\": \"0.57112384\",\n \"text\": \"private void init(){\\n\\t\\t\\t\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"216da885329e8d80cdc3490fda895c11\",\n \"score\": \"0.57087225\",\n \"text\": \"@Override\\n\\tpublic void yaz1() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3c6f91c038ca7ffdab72b5c233b827c5\",\n \"score\": \"0.5705329\",\n \"text\": \"@Override\\n\\tprotected void initMethod() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d3ea98d4cf6d33f166c8de2a1f7ab5a5\",\n \"score\": \"0.5697742\",\n \"text\": \"@Override\\r\\n\\tpublic void Collusion() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d3ea98d4cf6d33f166c8de2a1f7ab5a5\",\n \"score\": \"0.5697742\",\n \"text\": \"@Override\\r\\n\\tpublic void Collusion() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f3e16954465fbae384d88f411211419\",\n \"score\": \"0.56972444\",\n \"text\": \"@Override\\r\\n public int E_generar() {\\r\\n return 0;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"365a661b2084f764f5e458915ff735ac\",\n \"score\": \"0.56864643\",\n \"text\": \"@Override\\n public int getMunition() {\\n return 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"40539b782464082aab77fae6b047eade\",\n \"score\": \"0.5681723\",\n \"text\": \"@Override\\n\\tprotected int get_count() {\\n\\t\\treturn 1;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b1e3eb9a5b9dff21ed219e48a8676b34\",\n \"score\": \"0.56774884\",\n \"text\": \"@Override\\n public void memoria() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f628d368579dd40ef68362831006940\",\n \"score\": \"0.56769013\",\n \"text\": \"@Override\\n\\tpublic void fahreFahrzeug() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ae17f2516c21590c850e6758048effe\",\n \"score\": \"0.56625473\",\n \"text\": \"@Override\\n public int getID()\\n {\\n return 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8cd427648ea50c94f93c47d407d10a0\",\n \"score\": \"0.5660459\",\n \"text\": \"public void mo3639d() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990998,"cells":{"query_id":{"kind":"string","value":"c2932e3d7a7508366110bc527d85f752"},"query":{"kind":"string","value":"embeds as a with content encoded the model caprured so far."},"positive_passages":{"kind":"list like","value":[{"docid":"c48116d8412ba8db432eab1c0fd9801f","score":"0.63221186","text":"public void embed() {\n\t\tcell = row.getCell(1);\n\t\tbyte[] content = PictureGenerator.generate(model.toString(), parseAttributes(cell.body()), \"template.svg\", format);\n\t\tcell.body(getFormatter().gray(\"<img src=\\\"data:image/\" + format + \";base64,\" + new String(Base64.encode(content)) + \"\\\" />\"));\n\t}","title":""}],"string":"[\n {\n \"docid\": \"c48116d8412ba8db432eab1c0fd9801f\",\n \"score\": \"0.63221186\",\n \"text\": \"public void embed() {\\n\\t\\tcell = row.getCell(1);\\n\\t\\tbyte[] content = PictureGenerator.generate(model.toString(), parseAttributes(cell.body()), \\\"template.svg\\\", format);\\n\\t\\tcell.body(getFormatter().gray(\\\"<img src=\\\\\\\"data:image/\\\" + format + \\\";base64,\\\" + new String(Base64.encode(content)) + \\\"\\\\\\\" />\\\"));\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"d4016cddfb13d91aca0a9ad12526294d","score":"0.5616094","text":"public abstract EmbedBuilder getDescriptionEmbed();","title":""},{"docid":"7e41efe14fd67fd895d45121846d2cff","score":"0.5430164","text":"private Mono<Message> createEmbed(MessageChannel channel, LaunchResponse.Paged response) {\n\t\treturn channel.createEmbed(spec -> {\n\t\t\tspec.setFooter(\"Data by RocketLaunch.Live\", \"https://www.rocketlaunch.live/res/favicon32.png\");\n\t\t\tspec.setTimestamp(Instant.now());\n\t\t\tspec.setColor(Color.ENDEAVOUR);\n\t\t\tspec.setTitle(\"Upcoming Launches\");\n\t\t\tspec.setThumbnail(\"https://raw.githubusercontent.com/andrewlalis/MissionControlBot/main/design/icon.png\");\n\t\t\tresponse.getResult().forEach(launchResponse -> {\n\t\t\t\tspec.addField(launchResponse.getName(), launchResponse.getLaunchDescription(), false);\n\t\t\t});\n\t\t});\n\t}","title":""},{"docid":"bc4521e6a7d5195e0236cff301d0da09","score":"0.4928863","text":"public Serializable getContent();","title":""},{"docid":"17dcb180f45b4d9dd3c0722fc3f4de80","score":"0.4927321","text":"public com.clarifai.grpc.api.Embedding.Builder addEmbeddingsBuilder() {\n return getEmbeddingsFieldBuilder().addBuilder(\n com.clarifai.grpc.api.Embedding.getDefaultInstance());\n }","title":""},{"docid":"1df47fc5e715e7f531da8fc4e21c9099","score":"0.49142575","text":"@objid (\"81b69c09-0325-435f-a967-967c7ba7128f\")\n boolean isEmbedded();","title":""},{"docid":"c042d48fe985c5fa7773b1df0d6c62a4","score":"0.48750052","text":"@Override\n\tpublic void showContent() {\n\t\t\n\t}","title":""},{"docid":"a893f2e1ed4c1b6ad6eb0bbc2b2bbd59","score":"0.47318092","text":"@java.lang.Override\n public java.util.List<com.clarifai.grpc.api.Embedding> getEmbeddingsList() {\n return embeddings_;\n }","title":""},{"docid":"0f3770b9a0ae341d6205c67d0a3f3297","score":"0.47313198","text":"private void populateViewerContents() {\n\t\tSimpleMindMapExampleFactory fac = new SimpleMindMapExampleFactory();\n\n\t\tSimpleMindMap mindMap = fac.createComplexExample();\n\n\t\tIViewer viewer = getContentViewer();\n\n\t\tviewer.getContents().setAll(mindMap);\n\n\t}","title":""},{"docid":"15c816658029ad6abdb11028dee76df7","score":"0.4711931","text":"@RequestMapping(value = \"/showdes\", method = RequestMethod.GET)\n public String description(Model model) throws Exception {\n Description movieDes = new Description();\n model.addAttribute(\"description\", movieDes);\n return \"description\";\n }","title":""},{"docid":"d007ccc3886ccfbdad4847f6bb0cf476","score":"0.4682699","text":"public Builder addEmbeddings(com.clarifai.grpc.api.Embedding value) {\n if (embeddingsBuilder_ == null) {\n if (value == null) {\n throw new NullPointerException();\n }\n ensureEmbeddingsIsMutable();\n embeddings_.add(value);\n onChanged();\n } else {\n embeddingsBuilder_.addMessage(value);\n }\n return this;\n }","title":""},{"docid":"029cddd3a594ceb68452b3a059c6d9c0","score":"0.46569014","text":"@Override\n\tpublic void showContents() {\n\t\tfor (Displayable d : this.displayables) {\n\t\t\td.showContents();\n\t\t}\n\t\tfor (GObject obj : this.objects) {\n\t\t\tthis.application.add(obj);\n\t\t}\n\t\tthis.onShow();\n\t}","title":""},{"docid":"b896b49692ab2fbbe0db8d6971bf6c06","score":"0.46552807","text":"@Override\n public void run() {\n view.setMovie(movie);\n\n }","title":""},{"docid":"4a0101884855ef5bdc3bc74090d82dac","score":"0.46452412","text":"public String getInlineContent() {\n\t\tStringBuilder builder = new StringBuilder();\n\t\tappendLibraries(builder, libs);\n\t\tappendInlineTheme(builder);\n\t\treturn builder.toString();\n\t}","title":""},{"docid":"73295e7feee124efef6f9c176a16803a","score":"0.4635998","text":"private void pushToWavelet() {\n\t\tif(author != null && text != null) {\n\t\t\tcwavelet = new CWavelet(author, text);\n\t\t\tauthor = null;\n\t\t\ttext = null;\n\t\t}\n\t}","title":""},{"docid":"3db9730f3d33dd15cd417469b13a2df9","score":"0.46222493","text":"public void setContent(Serializable content);","title":""},{"docid":"003d701d9877d2023d37132287dd8d79","score":"0.46112671","text":"private void setContent() throws Exception{\n\t\tJSONObject content = new JSONObject(getConnection().do_Get(new URL(connection.getCampaignendpoint()+\"/\"+this.getId()+\"/content\"),connection.getApikey()));\n\t\tthis.content = new CampaignContent(\n\t\t\t\tcontent.has(\"plain_text\") ? content.getString(\"plain_text\") : null, \n\t\t\t\tcontent.has(\"html\") ? content.getString(\"html\") : null, \n\t\t\t\tthis) ;\n\t}","title":""},{"docid":"a0b5be26849dcdac83f305fe96f122a6","score":"0.45886007","text":"@Override\n public void addEmbeddables(Collection<Embeddable> embeddables) {\n }","title":""},{"docid":"590f2836f0880a9a916e3bc0f4d3c866","score":"0.45847684","text":"public static void showContent(String pubId, String appId, String title) {\n int heightAvailable = Window.getClientHeight() -\n (SpMobil.getMainPage().getHeaderHeight() + SpMobil.getMainPage().getFooterHeight());\n int widthAvailable = Window.getClientWidth();\n // display content\n final String url = UrlUtils.getServicesLocation() + \"PublicationContent\" + \"?id=\" + pubId + \"&componentId=\" + appId;\n\n\n try {\n new RequestBuilder(RequestBuilder.GET, url).sendRequest(null, new RequestCallback() {\n @Override\n public void onResponseReceived(final Request request, final Response response) {\n IframePage page = new IframePage(\"javascript:;\", response.getText());\n page.setSize(widthAvailable + \"px\", heightAvailable + \"px\");\n page.setPageTitle(title);\n page.show();\n }\n\n @Override\n public void onError(final Request request, final Throwable throwable) {\n EventBus.getInstance().fireEvent(new ErrorEvent(throwable));\n }\n });\n\n } catch (RequestException e) {\n EventBus.getInstance().fireEvent(new ErrorEvent(e));\n }\n }","title":""},{"docid":"45af63bd0e74965322f56759a7fad37f","score":"0.4583817","text":"public void testEmbedding() {\n TokenHierarchy th = TokenHierarchy.create(\"abc xyz 012 0xFF00 0-1-2-3-4-5-6-7-8-9\", TestPlainTokenId.language());\n TokenSequence tokens = th.tokenSequence();\n \n for( ; tokens.moveNext(); ) {\n TokenId id = tokens.token().id();\n TokenSequence embedded = tokens.embedded();\n \n if (id == TestPlainTokenId.WHITESPACE) {\n assertNull(\"Whitespace should not have any embedded language\", embedded);\n } else if (id == TestPlainTokenId.WORD) {\n assertNotNull(\"Word should have an embedded token sequence\", embedded);\n assertNotNull(\"Word should have an embedded language\", embedded.language());\n assertEquals(\"Wrong embedded language\", TestCharTokenId.MIME_TYPE, embedded.language().mimeType());\n }\n }\n }","title":""},{"docid":"2b1651ff8f0772e30455acb087b7cb71","score":"0.45820704","text":"@SideOnly(Side.CLIENT)\r\n\t\tvoid renderFormedStructure();","title":""},{"docid":"c148161f9445906a9059b0f6ad04875c","score":"0.45687813","text":"public boolean isEmbedded() {\r\n return getEmbedded() != null;\r\n }","title":""},{"docid":"fb41fed43e92102b63920ee045ddee70","score":"0.45544928","text":"@Override\n\t\t\tpublic void render() {\n\t\t\t\t\n\t\t\t}","title":""},{"docid":"fb41fed43e92102b63920ee045ddee70","score":"0.45544928","text":"@Override\n\t\t\tpublic void render() {\n\t\t\t\t\n\t\t\t}","title":""},{"docid":"fb41fed43e92102b63920ee045ddee70","score":"0.45544928","text":"@Override\n\t\t\tpublic void render() {\n\t\t\t\t\n\t\t\t}","title":""},{"docid":"fb41fed43e92102b63920ee045ddee70","score":"0.45544928","text":"@Override\n\t\t\tpublic void render() {\n\t\t\t\t\n\t\t\t}","title":""},{"docid":"fb41fed43e92102b63920ee045ddee70","score":"0.45544928","text":"@Override\n\t\t\tpublic void render() {\n\t\t\t\t\n\t\t\t}","title":""},{"docid":"3102d5df291bb23ed96cf136712a29ad","score":"0.45405293","text":"public Object getContent()\n { return content; }","title":""},{"docid":"efe8d97e1f482bb93b6a5a1c5d4ba8a4","score":"0.45358998","text":"private void updateContents() {\n if (mPresentation != null) {\n Log.d(TAG, \"showing on remote display\" + mPresentation.getDisplay().getName());\n mInfoTextView.setText(getResources().getString(R.string.presentation_with_media_router_now_playing_remotely,\n mPresentation.getDisplay().getName()));\n mSurfaceView.setVisibility(View.INVISIBLE);\n mSurfaceView.onPause();\n if (mPaused) {\n mPresentation.getSurfaceView().onPause();\n } else {\n mPresentation.getSurfaceView().onResume();\n }\n } else {\n Log.d(TAG, \"showing on built-in display: \" + getWindowManager().getDefaultDisplay().getName());\n mInfoTextView.setText(getResources().getString(R.string.presentation_with_media_router_now_playing_locally,\n getWindowManager().getDefaultDisplay().getName()));\n mSurfaceView.setVisibility(View.VISIBLE);\n if (mPaused) {\n mSurfaceView.onPause();\n } else {\n mSurfaceView.onResume();\n }\n }\n }","title":""},{"docid":"728a94ef6948a28a3e30ce7264128c38","score":"0.45343816","text":"@Override\r\n public void render() throws IOException {\r\n this.out.append(model.toString());\r\n }","title":""},{"docid":"6caca5b0ccf9378f1d0360e282c89e5e","score":"0.45318028","text":"void embedImage(Rectangle2D rect, URL image);","title":""},{"docid":"2b1e3e0345ebcf9882026a08c534312b","score":"0.4529651","text":"@AutoEscape\n\tpublic String getContent();","title":""},{"docid":"412634d312e4eb4927613531be18f509","score":"0.45027995","text":"@Json(name = \"content_md\") public abstract String getContent();","title":""},{"docid":"f952fd8d9cf307b5b9817c7898d4291b","score":"0.44876656","text":"protected Container doMakeContents()\n throws VisADException, RemoteException {\n\n return GuiUtils.left(doMakeWidgetComponent());\n }","title":""},{"docid":"701dcbcca6eb6048b123f1dcadde36d8","score":"0.44870293","text":"public Map<String, List<Entity>> getEmbeddedData();","title":""},{"docid":"9713cc183bf7a7c770bc6bc6ea78719c","score":"0.44846523","text":"public String getOutputForContent();","title":""},{"docid":"8ea9452b1db70fce742e94633cfaeec8","score":"0.4472432","text":"public java.util.List<com.clarifai.grpc.api.Embedding> getEmbeddingsList() {\n if (embeddingsBuilder_ == null) {\n return java.util.Collections.unmodifiableList(embeddings_);\n } else {\n return embeddingsBuilder_.getMessageList();\n }\n }","title":""},{"docid":"a3375bdcc2b8ebb8a1584774f5c4208d","score":"0.44680238","text":"@Generated\n public List<Double> getEmbedding() {\n return this.embedding;\n }","title":""},{"docid":"10331c735269fbaab1a8f12371b26419","score":"0.44617194","text":"private void buildViewRepresentation(Schema s) throws NamedElementNotFoundException {\n data = new ArrayList<>();\n associations = new ArrayList<>();\n commentAssociations = new ArrayList<>();\n texts = new ArrayList<>();\n\n List<NamedElement> entities = s.getElements(new Qualifier<>(new ErdModelEntity()));\n for (NamedElement e : entities) {\n data.add(new Entity(e, data));\n }\n\n List<NamedElement> txts = s.getElements(new Qualifier<>(new ErdModelText()));\n for (NamedElement t : txts) {\n texts.add(new FreeText(t));\n }\n\n List<NamedElement> coments = s.getElements(new Qualifier<>(new ErdModelTextualComment()));\n for (NamedElement c : coments) {\n texts.add(new Comment(c));\n }\n\n List<NamedElement> schemaAssociations = s.getElements(new Qualifier<>(new ErdModelEntityAssociation()));\n for (NamedElement a : schemaAssociations) {\n ElementsAssociation ea = new ElementsAssociation(data, a);\n int paralelNumber = 0;\n for (ElementsAssociation lnk : associations) {\n if (areAssociationsIdentical(lnk, ea)) {\n paralelNumber++;\n }\n }\n ea.setParalelNumber(paralelNumber);\n associations.add(ea);\n }\n\n List<NamedElement> schemaCommentAssociations = s.getElements(new Qualifier<>(new ErdModelTextCommentAssociation()));\n for (NamedElement a : schemaCommentAssociations) {\n commentAssociations.add(new CommentAssociation(data, texts, a));\n }\n }","title":""},{"docid":"283b403fb6d38610e0fbeb6fc9a986ed","score":"0.44395927","text":"public void displayContent() {\n System.out.println(content);\n }","title":""},{"docid":"8b15928997312a51ffdd2cab1b0a19b7","score":"0.4437306","text":"private void updateContent() {\n\t\tif ((mChordType == null) || (mDominant == null)) {\n\t\t\treturn;\n\t\t}\n\n\t\tmChord = ChordFactory.buildChord(mChordType, mDominant);\n\t\tif (Settings.shouldSimplify()) {\n\t\t\tmChord.simplify();\n\t\t}\n\n\t\tupdateTitle();\n\n\t\tmCardView.clearCards();\n\n\t\t// Chord\n\t\tmCardView.addCard(new ChordCard(mChord));\n\n\t\t// Sound\n\t\tmCardView.addCard(new SoundCard(mChord));\n\n\t\t// Staff\n\t\tmCardView.addCard(new StaffCard(mChord));\n\n\t\t// Piano\n\t\tmCardView.addCard(new PianoCard(mChord));\n\n\t\t// Guitar\n\t\tmCardView.addCard(new GuitarCard(mChord));\n\n\t}","title":""},{"docid":"b525b9b8e9e8b0abda611e0b523780a5","score":"0.44290492","text":"@Override\n\t\tpublic JsonElement serialize(LazyLoadContent src, Type typeOfSrc, JsonSerializationContext context) {\n\t\t\tJsonObject result = new JsonObject();\n\t\t\tresult.add(\"content\", new JsonPrimitive(src.getContent()));\n\t\t\treturn result;\n\t\t}","title":""},{"docid":"16a38a5abeed411d2b69aa584005c7ba","score":"0.4420432","text":"PartedBswm createPartedBswm();","title":""},{"docid":"fadfb42a67afb24d14c877f81f05ce63","score":"0.44157168","text":"public String getContent(){\n return \"Welkom bij het beste spel ooit. \\n\"\r\n + \"Hier komt willekeurige tekst dat u door het spel gaat leiden.\\n\"\r\n + \"Hier nog een zin enzo.\";\r\n \r\n }","title":""},{"docid":"ee782b70dc33d18ac1913bc882fe65d4","score":"0.4412806","text":"@Override\n\tpublic void assemble(HumanEntity entity) {\n\t\t\n\t}","title":""},{"docid":"671511143e857dd86e15dfba140ee5d2","score":"0.4409098","text":"@java.lang.Override\n public com.clarifai.grpc.api.Embedding getEmbeddings(int index) {\n return embeddings_.get(index);\n }","title":""},{"docid":"e5444370e4716c9a900e13fb01c015a9","score":"0.44085264","text":"private static void embedBytes(byte[] bytes)\r\n {\r\n int size= bytes.length;\r\n for(int i=0; i< size; i++)\r\n {\r\n byte1= bytes[i];\r\n for(int j=6; j>=0; j-=2)\r\n { \r\n byte2= byte1;\r\n byte2>>= j;\r\n byte2&= 0x03;\r\n byte3= byteArrayIn[inputOutputMarker];\r\n byte3&= 0xFC;\r\n byte3|= byte2;\r\n byteOut.write(byte3);\r\n inputOutputMarker++;\r\n }\r\n }\r\n }","title":""},{"docid":"5fdcc8cbfbfac0b0aa18bed123d60c24","score":"0.4407146","text":"@Override\n public String render(Object model) {\n return gson.toJson(model);\n }","title":""},{"docid":"e55d0fa97579fe8207751ee2e69a0cf5","score":"0.44068843","text":"private void generateTag()\n {\n content.append(\"<div class=\\\"item\\\"><a target=\\\"_blank\\\" href=\\\"../\");\n content.append(src); //target image\n content.append(\"\\\">\");\n content.append(\"<\");\n content.append(\"img\");\n content.append(\" \");\n content.append(\" src=\\\"../\");\n content.append(thumbnail); //thumbnail\n content.append(\"\\\"> \");\n content.append(\"</a>\");\n\n super.setContent(content.toString());\n }","title":""},{"docid":"716eddbcb23a1f72e310464d2f3e3280","score":"0.4403615","text":"public void buildModels() {\n this.title.withNoTopPaddingLayout().titleText((CharSequence) this.context.getString(C6405R.string.host_referral_landing_title, new Object[]{this.referrerInfo.getReferralReward().getReferralRewardReferrer().formattedForDisplay()})).captionText((CharSequence) this.context.getString(C6405R.string.host_referral_landing_subtitle, new Object[]{this.referrerInfo.getReferralReward().getReferralRewardReferrer().formattedForDisplay(), Integer.valueOf(this.referrerInfo.getReferralReward().getRewardCountLimit())})).addTo(this);\n this.button.text(this.context.getString(C6405R.string.host_referral_share_link)).showDivider(false).clickListener(HostReferralsEpoxyController$$Lambda$1.lambdaFactory$(this)).addTo(this);\n this.divider.addTo(this);\n this.credit.titleText(this.context.getString(C6405R.string.host_referral_earnings)).showDivider(true).clickListener(HostReferralsEpoxyController$$Lambda$2.lambdaFactory$(this)).addTo(this);\n this.terms.titleText(this.context.getString(C6405R.string.host_referral_terms_and_conditions)).showDivider(true).clickListener(HostReferralsEpoxyController$$Lambda$3.lambdaFactory$(this)).addTo(this);\n }","title":""},{"docid":"60ee4f30a7bf8917bdc5452570f7b4f5","score":"0.43964946","text":"private static PredictResponse predict(PredictionServiceClient predictionClient, ModelName modelName,\n Map<String, String> params, ByteString content) {\n\n // Assign the image to payload\n Image image = Image.newBuilder().setImageBytes(content).build();\n ExamplePayload examplePayload = ExamplePayload.newBuilder().setImage(image).build();\n\n // Perform the AutoML Prediction request\n return predictionClient.predict(modelName, examplePayload, params);\n }","title":""},{"docid":"9c51cc73e7cb56148980ae1a6bca6339","score":"0.4390175","text":"@Override\n public void viewMusic() {\n this.musicView.render();\n }","title":""},{"docid":"19c366193290227fd54c7b034c87e56e","score":"0.4387303","text":"public Builder clearEmbeddings() {\n if (embeddingsBuilder_ == null) {\n embeddings_ = java.util.Collections.emptyList();\n bitField0_ = (bitField0_ & ~0x00000008);\n onChanged();\n } else {\n embeddingsBuilder_.clear();\n }\n return this;\n }","title":""},{"docid":"315a6d8baa9d6981f6a7619e834fc1c7","score":"0.43790174","text":"@Override\n\tpublic void encender() {\n\t\t\n\t}","title":""},{"docid":"5d2b6bcdb0721761bdb078fb4099101b","score":"0.4371788","text":"@Override\n public void resumeInline() {\n jwPlayerView.play();\n }","title":""},{"docid":"120294a58795784e0594db8235e477a0","score":"0.43697417","text":"private Element addContentComplex(BioPaxObject bpObject, Element element) {\r\n\t\telement = addContentPhysicalEntity(bpObject, element);\r\n\t\t\r\n\t\tComplex ob = (Complex)bpObject;\r\n\t\tElement tmpElement = null;\r\n\t\t\r\n\t\tif(ob.getComponentStoichiometry() != null && ob.getComponentStoichiometry().size() > 0) {\r\n\t\t\tList<Stoichiometry> list = ob.getComponentStoichiometry();\r\n\t\t\tfor(Stoichiometry item : list) {\r\n\t\t\t\ttmpElement = new Element(\"componentStoichiometry\", bp);\r\n//\t\t\t\tif(item instanceof RdfObjectProxy) {\r\n//\t\t\t\t\ttmpElement.setAttribute(\"resource\", ((RdfObjectProxy)item).getResource(), rdf);\r\n//\t\t\t\t} else {\r\n//\t\t\t\t\ttmpElement.setAttribute(\"resource\", item.resourceFromID(), rdf);\r\n//\t\t\t\t}\r\n\t\t\t\taddIDToProperty(tmpElement, item);\r\n\t\t\t\tmustPrintObject(item);\r\n\t\t\t\telement.addContent(tmpElement);\r\n\t\t\t}\r\n\t\t}\r\n\t\tif(ob.getComponents() != null && ob.getComponents().size() > 0) {\r\n\t\t\tList<PhysicalEntity> list = ob.getComponents();\r\n\t\t\tfor(PhysicalEntity item : list) {\r\n\t\t\t\ttmpElement = new Element(\"component\", bp);\r\n\t\t\t\taddIDToProperty(tmpElement, item);\r\n\t\t\t\tmustPrintObject(item);\r\n\t\t\t\telement.addContent(tmpElement);\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn element;\r\n\t}","title":""},{"docid":"251975510a1dc2eb06054372eab0adff","score":"0.43651477","text":"public void setContent(Object content) {\n\t\n }","title":""},{"docid":"baa115624a6bc876f7c7d7bcab9e6b53","score":"0.43555057","text":"@java.lang.Override\n public java.util.List<? extends com.clarifai.grpc.api.EmbeddingOrBuilder> \n getEmbeddingsOrBuilderList() {\n return embeddings_;\n }","title":""},{"docid":"813fe1b14d4d12c3375d4da56dc149e8","score":"0.4348204","text":"public void produceContent(ContentEncoder encoder, IOControl ioControl) throws IOException {\n/* 108 */ if (this.producer != null) {\n/* 109 */ this.producer.produceContent(encoder, ioControl);\n/* 110 */ if (encoder.isCompleted()) {\n/* 111 */ this.producer.close();\n/* */ }\n/* */ } \n/* */ }","title":""},{"docid":"dada3c50993404c6dea5f415d4e8173a","score":"0.4347044","text":"@Override\n protected String generateContent() {\n return String.format(\"bid(%1$s)\", bidAmount);\n }","title":""},{"docid":"b6dffe66fd4639e487a32518a5aec81c","score":"0.4340667","text":"public Builder addAllEmbeddings(\n java.lang.Iterable<? extends com.clarifai.grpc.api.Embedding> values) {\n if (embeddingsBuilder_ == null) {\n ensureEmbeddingsIsMutable();\n com.google.protobuf.AbstractMessageLite.Builder.addAll(\n values, embeddings_);\n onChanged();\n } else {\n embeddingsBuilder_.addAllMessages(values);\n }\n return this;\n }","title":""},{"docid":"c7c97dc7a2bd477cdcf4642090cb4428","score":"0.4333505","text":"public interface HtmlEmbeddable extends Serializable {\r\n\r\n\tabstract HtmlElement getAncestor();\r\n\t\r\n\tabstract void setAncestor(HtmlElement ancestor);\r\n\t\r\n}","title":""},{"docid":"414679d0f958e0c2ae170aaa23fd0912","score":"0.43239185","text":"FrontendInner innerModel();","title":""},{"docid":"975aebe3973bd6367927395b9bfbde8e","score":"0.43238357","text":"@Override\n public String toString() {\n return content.toString();\n }","title":""},{"docid":"3ac2f2b48443b7370b50a9eeb7ff9fcc","score":"0.43237454","text":"public com.clarifai.grpc.api.Embedding getEmbeddings(int index) {\n if (embeddingsBuilder_ == null) {\n return embeddings_.get(index);\n } else {\n return embeddingsBuilder_.getMessage(index);\n }\n }","title":""},{"docid":"57a4d2e098487d2705cd6a4943281870","score":"0.43145725","text":"public Builder setEmbeddings(\n int index, com.clarifai.grpc.api.Embedding value) {\n if (embeddingsBuilder_ == null) {\n if (value == null) {\n throw new NullPointerException();\n }\n ensureEmbeddingsIsMutable();\n embeddings_.set(index, value);\n onChanged();\n } else {\n embeddingsBuilder_.setMessage(index, value);\n }\n return this;\n }","title":""},{"docid":"dd3a8016b965490651d2182d43d6db0d","score":"0.43085128","text":"boolean isEmbedded();","title":""},{"docid":"b89e5bd65495d93ce2020280878f3907","score":"0.43077433","text":"@Override\r\n\tpublic boolean verificaPistaEmborrachada() {\n\t\treturn false;\r\n\t}","title":""},{"docid":"71177efd884afe47aed0bf1c718c9825","score":"0.43072462","text":"public String getMediaContent() {\n return mediaContent;\n }","title":""},{"docid":"fbcd9958f4c7a2f5dfc763132952ebbb","score":"0.42989478","text":"public INDArray getEmbeddings() {\n return embeddings.dup();\n }","title":""},{"docid":"dfd00159441f2333d3a9e181af1e7df7","score":"0.42965612","text":"@Override\n public void prerender() {\n }","title":""},{"docid":"dfd00159441f2333d3a9e181af1e7df7","score":"0.42965612","text":"@Override\n public void prerender() {\n }","title":""},{"docid":"b63437225109e6c412a718b9fc56ff90","score":"0.42940158","text":"private void loadForPlaying() {\n\t\tmyParserController = new ParserController();\n\t\tmyModel = myParserController.loadforPlaying(myPreviewFile);\n\t}","title":""},{"docid":"58408adb62b77299c62fba6bee8c4c34","score":"0.42918313","text":"public Object getContent() {\r\n\t\treturn content;\r\n\t}","title":""},{"docid":"396181c2258af8e751fd8c7ddc243857","score":"0.42885417","text":"@java.lang.Override\n public int getEmbeddingsCount() {\n return embeddings_.size();\n }","title":""},{"docid":"794cf22c25b7a1a767b77a60476aa82b","score":"0.42825025","text":"public void setContent(Object content) {\n this.content = content;\n }","title":""},{"docid":"5cc783f0f79e1f1e7c3446248559c1f1","score":"0.42760062","text":"public void sendDisplay(){\n model.sendDisplay();\n }","title":""},{"docid":"5b00e6a0073c1eef91451a8ebb0bc62c","score":"0.42752287","text":"public View getConversationContent()\n {\n return m_conversationContent;\n }","title":""},{"docid":"9341c27db44d1b10acaf09540bcc1451","score":"0.42667398","text":"private void buildModel(ArrayList<HorizontalModel> arrayList, String exerciseName, String videoId){\n\n HorizontalModel someModel = new HorizontalModel();\n someModel.setName(exerciseName);\n someModel.setId(videoId);\n arrayList.add(someModel);\n\n }","title":""},{"docid":"02088efe2eb5b0803f0f57c1c3bbe754","score":"0.4262374","text":"ProtectableContainerResourceInner innerModel();","title":""},{"docid":"603d0151e22237262d32f2f6997dcfa6","score":"0.4258093","text":"public Builder addEmbeddings(\n int index, com.clarifai.grpc.api.Embedding value) {\n if (embeddingsBuilder_ == null) {\n if (value == null) {\n throw new NullPointerException();\n }\n ensureEmbeddingsIsMutable();\n embeddings_.add(index, value);\n onChanged();\n } else {\n embeddingsBuilder_.addMessage(index, value);\n }\n return this;\n }","title":""},{"docid":"8434e0c2e7a94d03bf3abb952ef685e3","score":"0.42537868","text":"@Override\n protected HttpContent makeJSONContent(MessageDTO message) {\n String contentJson = toJson(message.getContent());\n // Encrypt content JSON\n String content = symmetricCipher.encrypt(contentJson);\n if (content == null) {\n Log.e(TAG, \"Error on content encrypting\");\n// content = message.getContent();\n content = \"\";\n }\n // Create new MessageDTO with encrypted content\n message = new MessageDTO(message.getId(), content);\n String json = toJson(message);\n //System.out.println(json);\n Log.i(TAG, \"New Message to \" + message.getId());\n HttpContent httpContent = new ByteArrayContent(\"application/json\", json.getBytes());\n return httpContent;\n }","title":""},{"docid":"eb1f4aa072464545c761a33f229b53c9","score":"0.4234505","text":"@Override\n public void playInline(PlayableConfiguration configuration) {\n jwPlayerView.play();\n Log.d(JWPlayerAdapter.TAG, \"playInline\");\n }","title":""},{"docid":"d85c55852599cad0954955783c78aed4","score":"0.42318708","text":"public void run() {\n \t\trenderer.cube.newImage(bm, renderer.gl);\n }","title":""},{"docid":"cbc5b66f3fae052dbf8f27a429f09dd3","score":"0.42306393","text":"public String toHTML() {\n\t\tif(super.getId() == -1) return \"\";\n\t\treturn String.format(\n\t\t\t\"<div>\" +\n\t\t\t\"<h2>%s</h2>\" +\n\t\t\t\"<p>%s</p>\" +\n\t\t\t\"<iframe src='%s' height=600 width=800></iframe>\" +\n\t\t\t\"<hr>\" +\n\t\t\t\"</div>\"\n\t\t\t, super.getBruker() + \"@\" + super.getDato(), super.getTekst(), url);\n\t}","title":""},{"docid":"2c6f3a5d5223b273848a83dee562868f","score":"0.42257944","text":"public CWaveletContainer() {\n\t\tauthor = null;\n\t\ttext = null;\n\t}","title":""},{"docid":"013b63f2d7dca1b5b801432f2d560f41","score":"0.42251253","text":"public byte[] getcontent(){\n return this.content;\n }","title":""},{"docid":"d321ff1af297894805ddb89231b4d184","score":"0.4222452","text":"@Override\n public void run() {\n while (model.getRun()) {\n //Verwijder te verwijderen objecten\n while (model.getDestroy().size() > 0) {\n Body b = (Body) model.getDestroy().remove(0);\n if (model.getDoelen().contains(b)) {\n model.getDoelen().remove(b);\n }\n wereld.destroyBody(b);\n }\n //Kijk of je gewonnen hebt\n if (model.getDoelen().isEmpty()) {\n gewonnen();\n return;\n }\n //Kijk of je verloren hebt\n if (model.getBozels().isEmpty()) {\n verloren();\n return;\n }\n //Step als er niet gepauseerd is\n if (model.getPaused()) {\n try {\n wereld.step(model.getTijdsstap(), model.getSnelheid(), 3);\n } catch (Exception exp) {\n }\n }\n panel.repaint();\n try {\n Thread.sleep((long) (model.getTijdsstap() * 1000));\n } catch (InterruptedException ex) {\n }\n }\n }","title":""},{"docid":"587a62284376f63a5102b16d16a1d954","score":"0.42223713","text":"private void preview()\n \t{\n\t\tworkingCryptogram = new Cryptogram(\"\", \"\", new Date(), txtPlaintext.getText());\n \t\tcmpPreview.displayCryptogram(workingCryptogram.getCiphertext());\n \t}","title":""},{"docid":"2c33ede49593420d317fedae5f7acd4a","score":"0.4217748","text":"B captionAsHtml();","title":""},{"docid":"c0cd22d01178dd1138361c15c6d531e9","score":"0.42143953","text":"protected VerticalFlowPanel buildModelTypePanel() {\n ((Element) fhirModel.getElement().getChild(0)).setAttribute(\"aria-label\", \"Model FHIR\");\n ((Element) qdmModel.getElement().getChild(0)).setAttribute(\"aria-label\", \"Model QDM\");\n\n VerticalFlowPanel measureModelPanel = new VerticalFlowPanel();\n measureModelGroup.add(buildModelTypeLabel());\n\n fhirModel.setValue(true);\n\n measureModelPanel.add(fhirModel);\n measureModelPanel.add(qdmModel);\n return measureModelPanel;\n }","title":""},{"docid":"f8e322860237276a694f1bed0139e3c2","score":"0.42059523","text":"@Override\n protected void process(EngineTime time) {\n //Here\n build();\n render();\n }","title":""},{"docid":"833385004c005a9b95c6f5a0df797406","score":"0.42058924","text":"public void bindDataToView(VideoModel model){\n Glide.with(context).load(Uri.fromFile(new File(model.getFilePath())))\n .apply(model.getRequestOption())\n .into(thumbnailImageView);\n\n sizeTextView.setText(model.getFileSize());\n formatTextView.setText(model.getFormat());\n durationTextView.setText(GPlayerUtil.formatDuration(model.getDurationInMilliSecond()));\n titleTextView.setText(model.getTitle());\n }","title":""},{"docid":"e39343b5e2bb5d77fe62b3dda8782ecb","score":"0.41986746","text":"@Override\n public void render() {\n super.render();\n }","title":""},{"docid":"a318f6e1d4b9325ee511335a400b1513","score":"0.41981485","text":"public Builder addEmbeddings(\n com.clarifai.grpc.api.Embedding.Builder builderForValue) {\n if (embeddingsBuilder_ == null) {\n ensureEmbeddingsIsMutable();\n embeddings_.add(builderForValue.build());\n onChanged();\n } else {\n embeddingsBuilder_.addMessage(builderForValue.build());\n }\n return this;\n }","title":""},{"docid":"b8829732c53cdeac1944b012b37c10fe","score":"0.41978425","text":"protected void createContents() {\n\t\tsetText(\"Muokkaa m\\u00F6kki\\u00E4\");\n\t\tsetSize(800, 600);\n\n\t}","title":""},{"docid":"4aca288be25a502e452a46c8b816cf73","score":"0.41919068","text":"@Override\n public void doAddictionScene() {\n \n }","title":""},{"docid":"975ca30e5014dee28d727a9cd10c233f","score":"0.41851968","text":"public Object getContent() {\n\t return null;\n }","title":""},{"docid":"0cf61e5cae5ee618a0084b484292e314","score":"0.41752973","text":"@Override\n\tpublic void excute(Model model) {\n\t\tMap<String, Object> map = model.asMap();\n\t\tHttpServletRequest request = (HttpServletRequest) map.get(\"request\");\n\t\t//content_view에서 넘어오는 정보\n\t\tString bId = request.getParameter(\"bId\");\n\t\tString bName = request.getParameter(\"bName\");\n\t\tString bTitle = request.getParameter(\"bTitle\");\n\t\tString bContent = request.getParameter(\"bContent\");\n\t\t\n\t\tDao dao = new Dao();\n\t\tdao.modify(bId,bName,bTitle,bContent);\n\t\t\n\t\t//받아오고 끝! 이하 코드는 없다\n\t}","title":""},{"docid":"4bb97cbf523d2dda8156657b9bded114","score":"0.41739184","text":"@Override\r\n public void onAdded() {\r\n entity.setView(texture);\r\n }","title":""},{"docid":"554bedc457c16b32ad547f41b6534388","score":"0.41737443","text":"public void display() {\n\t\tSystem.out.println(question.getContent());\n\t}","title":""}],"string":"[\n {\n \"docid\": \"d4016cddfb13d91aca0a9ad12526294d\",\n \"score\": \"0.5616094\",\n \"text\": \"public abstract EmbedBuilder getDescriptionEmbed();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e41efe14fd67fd895d45121846d2cff\",\n \"score\": \"0.5430164\",\n \"text\": \"private Mono<Message> createEmbed(MessageChannel channel, LaunchResponse.Paged response) {\\n\\t\\treturn channel.createEmbed(spec -> {\\n\\t\\t\\tspec.setFooter(\\\"Data by RocketLaunch.Live\\\", \\\"https://www.rocketlaunch.live/res/favicon32.png\\\");\\n\\t\\t\\tspec.setTimestamp(Instant.now());\\n\\t\\t\\tspec.setColor(Color.ENDEAVOUR);\\n\\t\\t\\tspec.setTitle(\\\"Upcoming Launches\\\");\\n\\t\\t\\tspec.setThumbnail(\\\"https://raw.githubusercontent.com/andrewlalis/MissionControlBot/main/design/icon.png\\\");\\n\\t\\t\\tresponse.getResult().forEach(launchResponse -> {\\n\\t\\t\\t\\tspec.addField(launchResponse.getName(), launchResponse.getLaunchDescription(), false);\\n\\t\\t\\t});\\n\\t\\t});\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc4521e6a7d5195e0236cff301d0da09\",\n \"score\": \"0.4928863\",\n \"text\": \"public Serializable getContent();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17dcb180f45b4d9dd3c0722fc3f4de80\",\n \"score\": \"0.4927321\",\n \"text\": \"public com.clarifai.grpc.api.Embedding.Builder addEmbeddingsBuilder() {\\n return getEmbeddingsFieldBuilder().addBuilder(\\n com.clarifai.grpc.api.Embedding.getDefaultInstance());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1df47fc5e715e7f531da8fc4e21c9099\",\n \"score\": \"0.49142575\",\n \"text\": \"@objid (\\\"81b69c09-0325-435f-a967-967c7ba7128f\\\")\\n boolean isEmbedded();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c042d48fe985c5fa7773b1df0d6c62a4\",\n \"score\": \"0.48750052\",\n \"text\": \"@Override\\n\\tpublic void showContent() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a893f2e1ed4c1b6ad6eb0bbc2b2bbd59\",\n \"score\": \"0.47318092\",\n \"text\": \"@java.lang.Override\\n public java.util.List<com.clarifai.grpc.api.Embedding> getEmbeddingsList() {\\n return embeddings_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0f3770b9a0ae341d6205c67d0a3f3297\",\n \"score\": \"0.47313198\",\n \"text\": \"private void populateViewerContents() {\\n\\t\\tSimpleMindMapExampleFactory fac = new SimpleMindMapExampleFactory();\\n\\n\\t\\tSimpleMindMap mindMap = fac.createComplexExample();\\n\\n\\t\\tIViewer viewer = getContentViewer();\\n\\n\\t\\tviewer.getContents().setAll(mindMap);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"15c816658029ad6abdb11028dee76df7\",\n \"score\": \"0.4711931\",\n \"text\": \"@RequestMapping(value = \\\"/showdes\\\", method = RequestMethod.GET)\\n public String description(Model model) throws Exception {\\n Description movieDes = new Description();\\n model.addAttribute(\\\"description\\\", movieDes);\\n return \\\"description\\\";\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d007ccc3886ccfbdad4847f6bb0cf476\",\n \"score\": \"0.4682699\",\n \"text\": \"public Builder addEmbeddings(com.clarifai.grpc.api.Embedding value) {\\n if (embeddingsBuilder_ == null) {\\n if (value == null) {\\n throw new NullPointerException();\\n }\\n ensureEmbeddingsIsMutable();\\n embeddings_.add(value);\\n onChanged();\\n } else {\\n embeddingsBuilder_.addMessage(value);\\n }\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"029cddd3a594ceb68452b3a059c6d9c0\",\n \"score\": \"0.46569014\",\n \"text\": \"@Override\\n\\tpublic void showContents() {\\n\\t\\tfor (Displayable d : this.displayables) {\\n\\t\\t\\td.showContents();\\n\\t\\t}\\n\\t\\tfor (GObject obj : this.objects) {\\n\\t\\t\\tthis.application.add(obj);\\n\\t\\t}\\n\\t\\tthis.onShow();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b896b49692ab2fbbe0db8d6971bf6c06\",\n \"score\": \"0.46552807\",\n \"text\": \"@Override\\n public void run() {\\n view.setMovie(movie);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4a0101884855ef5bdc3bc74090d82dac\",\n \"score\": \"0.46452412\",\n \"text\": \"public String getInlineContent() {\\n\\t\\tStringBuilder builder = new StringBuilder();\\n\\t\\tappendLibraries(builder, libs);\\n\\t\\tappendInlineTheme(builder);\\n\\t\\treturn builder.toString();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73295e7feee124efef6f9c176a16803a\",\n \"score\": \"0.4635998\",\n \"text\": \"private void pushToWavelet() {\\n\\t\\tif(author != null && text != null) {\\n\\t\\t\\tcwavelet = new CWavelet(author, text);\\n\\t\\t\\tauthor = null;\\n\\t\\t\\ttext = null;\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3db9730f3d33dd15cd417469b13a2df9\",\n \"score\": \"0.46222493\",\n \"text\": \"public void setContent(Serializable content);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"003d701d9877d2023d37132287dd8d79\",\n \"score\": \"0.46112671\",\n \"text\": \"private void setContent() throws Exception{\\n\\t\\tJSONObject content = new JSONObject(getConnection().do_Get(new URL(connection.getCampaignendpoint()+\\\"/\\\"+this.getId()+\\\"/content\\\"),connection.getApikey()));\\n\\t\\tthis.content = new CampaignContent(\\n\\t\\t\\t\\tcontent.has(\\\"plain_text\\\") ? content.getString(\\\"plain_text\\\") : null, \\n\\t\\t\\t\\tcontent.has(\\\"html\\\") ? content.getString(\\\"html\\\") : null, \\n\\t\\t\\t\\tthis) ;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a0b5be26849dcdac83f305fe96f122a6\",\n \"score\": \"0.45886007\",\n \"text\": \"@Override\\n public void addEmbeddables(Collection<Embeddable> embeddables) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"590f2836f0880a9a916e3bc0f4d3c866\",\n \"score\": \"0.45847684\",\n \"text\": \"public static void showContent(String pubId, String appId, String title) {\\n int heightAvailable = Window.getClientHeight() -\\n (SpMobil.getMainPage().getHeaderHeight() + SpMobil.getMainPage().getFooterHeight());\\n int widthAvailable = Window.getClientWidth();\\n // display content\\n final String url = UrlUtils.getServicesLocation() + \\\"PublicationContent\\\" + \\\"?id=\\\" + pubId + \\\"&componentId=\\\" + appId;\\n\\n\\n try {\\n new RequestBuilder(RequestBuilder.GET, url).sendRequest(null, new RequestCallback() {\\n @Override\\n public void onResponseReceived(final Request request, final Response response) {\\n IframePage page = new IframePage(\\\"javascript:;\\\", response.getText());\\n page.setSize(widthAvailable + \\\"px\\\", heightAvailable + \\\"px\\\");\\n page.setPageTitle(title);\\n page.show();\\n }\\n\\n @Override\\n public void onError(final Request request, final Throwable throwable) {\\n EventBus.getInstance().fireEvent(new ErrorEvent(throwable));\\n }\\n });\\n\\n } catch (RequestException e) {\\n EventBus.getInstance().fireEvent(new ErrorEvent(e));\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"45af63bd0e74965322f56759a7fad37f\",\n \"score\": \"0.4583817\",\n \"text\": \"public void testEmbedding() {\\n TokenHierarchy th = TokenHierarchy.create(\\\"abc xyz 012 0xFF00 0-1-2-3-4-5-6-7-8-9\\\", TestPlainTokenId.language());\\n TokenSequence tokens = th.tokenSequence();\\n \\n for( ; tokens.moveNext(); ) {\\n TokenId id = tokens.token().id();\\n TokenSequence embedded = tokens.embedded();\\n \\n if (id == TestPlainTokenId.WHITESPACE) {\\n assertNull(\\\"Whitespace should not have any embedded language\\\", embedded);\\n } else if (id == TestPlainTokenId.WORD) {\\n assertNotNull(\\\"Word should have an embedded token sequence\\\", embedded);\\n assertNotNull(\\\"Word should have an embedded language\\\", embedded.language());\\n assertEquals(\\\"Wrong embedded language\\\", TestCharTokenId.MIME_TYPE, embedded.language().mimeType());\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2b1651ff8f0772e30455acb087b7cb71\",\n \"score\": \"0.45820704\",\n \"text\": \"@SideOnly(Side.CLIENT)\\r\\n\\t\\tvoid renderFormedStructure();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c148161f9445906a9059b0f6ad04875c\",\n \"score\": \"0.45687813\",\n \"text\": \"public boolean isEmbedded() {\\r\\n return getEmbedded() != null;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb41fed43e92102b63920ee045ddee70\",\n \"score\": \"0.45544928\",\n \"text\": \"@Override\\n\\t\\t\\tpublic void render() {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb41fed43e92102b63920ee045ddee70\",\n \"score\": \"0.45544928\",\n \"text\": \"@Override\\n\\t\\t\\tpublic void render() {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb41fed43e92102b63920ee045ddee70\",\n \"score\": \"0.45544928\",\n \"text\": \"@Override\\n\\t\\t\\tpublic void render() {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb41fed43e92102b63920ee045ddee70\",\n \"score\": \"0.45544928\",\n \"text\": \"@Override\\n\\t\\t\\tpublic void render() {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb41fed43e92102b63920ee045ddee70\",\n \"score\": \"0.45544928\",\n \"text\": \"@Override\\n\\t\\t\\tpublic void render() {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3102d5df291bb23ed96cf136712a29ad\",\n \"score\": \"0.45405293\",\n \"text\": \"public Object getContent()\\n { return content; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efe8d97e1f482bb93b6a5a1c5d4ba8a4\",\n \"score\": \"0.45358998\",\n \"text\": \"private void updateContents() {\\n if (mPresentation != null) {\\n Log.d(TAG, \\\"showing on remote display\\\" + mPresentation.getDisplay().getName());\\n mInfoTextView.setText(getResources().getString(R.string.presentation_with_media_router_now_playing_remotely,\\n mPresentation.getDisplay().getName()));\\n mSurfaceView.setVisibility(View.INVISIBLE);\\n mSurfaceView.onPause();\\n if (mPaused) {\\n mPresentation.getSurfaceView().onPause();\\n } else {\\n mPresentation.getSurfaceView().onResume();\\n }\\n } else {\\n Log.d(TAG, \\\"showing on built-in display: \\\" + getWindowManager().getDefaultDisplay().getName());\\n mInfoTextView.setText(getResources().getString(R.string.presentation_with_media_router_now_playing_locally,\\n getWindowManager().getDefaultDisplay().getName()));\\n mSurfaceView.setVisibility(View.VISIBLE);\\n if (mPaused) {\\n mSurfaceView.onPause();\\n } else {\\n mSurfaceView.onResume();\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"728a94ef6948a28a3e30ce7264128c38\",\n \"score\": \"0.45343816\",\n \"text\": \"@Override\\r\\n public void render() throws IOException {\\r\\n this.out.append(model.toString());\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6caca5b0ccf9378f1d0360e282c89e5e\",\n \"score\": \"0.45318028\",\n \"text\": \"void embedImage(Rectangle2D rect, URL image);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2b1e3e0345ebcf9882026a08c534312b\",\n \"score\": \"0.4529651\",\n \"text\": \"@AutoEscape\\n\\tpublic String getContent();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"412634d312e4eb4927613531be18f509\",\n \"score\": \"0.45027995\",\n \"text\": \"@Json(name = \\\"content_md\\\") public abstract String getContent();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f952fd8d9cf307b5b9817c7898d4291b\",\n \"score\": \"0.44876656\",\n \"text\": \"protected Container doMakeContents()\\n throws VisADException, RemoteException {\\n\\n return GuiUtils.left(doMakeWidgetComponent());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"701dcbcca6eb6048b123f1dcadde36d8\",\n \"score\": \"0.44870293\",\n \"text\": \"public Map<String, List<Entity>> getEmbeddedData();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9713cc183bf7a7c770bc6bc6ea78719c\",\n \"score\": \"0.44846523\",\n \"text\": \"public String getOutputForContent();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ea9452b1db70fce742e94633cfaeec8\",\n \"score\": \"0.4472432\",\n \"text\": \"public java.util.List<com.clarifai.grpc.api.Embedding> getEmbeddingsList() {\\n if (embeddingsBuilder_ == null) {\\n return java.util.Collections.unmodifiableList(embeddings_);\\n } else {\\n return embeddingsBuilder_.getMessageList();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a3375bdcc2b8ebb8a1584774f5c4208d\",\n \"score\": \"0.44680238\",\n \"text\": \"@Generated\\n public List<Double> getEmbedding() {\\n return this.embedding;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10331c735269fbaab1a8f12371b26419\",\n \"score\": \"0.44617194\",\n \"text\": \"private void buildViewRepresentation(Schema s) throws NamedElementNotFoundException {\\n data = new ArrayList<>();\\n associations = new ArrayList<>();\\n commentAssociations = new ArrayList<>();\\n texts = new ArrayList<>();\\n\\n List<NamedElement> entities = s.getElements(new Qualifier<>(new ErdModelEntity()));\\n for (NamedElement e : entities) {\\n data.add(new Entity(e, data));\\n }\\n\\n List<NamedElement> txts = s.getElements(new Qualifier<>(new ErdModelText()));\\n for (NamedElement t : txts) {\\n texts.add(new FreeText(t));\\n }\\n\\n List<NamedElement> coments = s.getElements(new Qualifier<>(new ErdModelTextualComment()));\\n for (NamedElement c : coments) {\\n texts.add(new Comment(c));\\n }\\n\\n List<NamedElement> schemaAssociations = s.getElements(new Qualifier<>(new ErdModelEntityAssociation()));\\n for (NamedElement a : schemaAssociations) {\\n ElementsAssociation ea = new ElementsAssociation(data, a);\\n int paralelNumber = 0;\\n for (ElementsAssociation lnk : associations) {\\n if (areAssociationsIdentical(lnk, ea)) {\\n paralelNumber++;\\n }\\n }\\n ea.setParalelNumber(paralelNumber);\\n associations.add(ea);\\n }\\n\\n List<NamedElement> schemaCommentAssociations = s.getElements(new Qualifier<>(new ErdModelTextCommentAssociation()));\\n for (NamedElement a : schemaCommentAssociations) {\\n commentAssociations.add(new CommentAssociation(data, texts, a));\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"283b403fb6d38610e0fbeb6fc9a986ed\",\n \"score\": \"0.44395927\",\n \"text\": \"public void displayContent() {\\n System.out.println(content);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b15928997312a51ffdd2cab1b0a19b7\",\n \"score\": \"0.4437306\",\n \"text\": \"private void updateContent() {\\n\\t\\tif ((mChordType == null) || (mDominant == null)) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\n\\t\\tmChord = ChordFactory.buildChord(mChordType, mDominant);\\n\\t\\tif (Settings.shouldSimplify()) {\\n\\t\\t\\tmChord.simplify();\\n\\t\\t}\\n\\n\\t\\tupdateTitle();\\n\\n\\t\\tmCardView.clearCards();\\n\\n\\t\\t// Chord\\n\\t\\tmCardView.addCard(new ChordCard(mChord));\\n\\n\\t\\t// Sound\\n\\t\\tmCardView.addCard(new SoundCard(mChord));\\n\\n\\t\\t// Staff\\n\\t\\tmCardView.addCard(new StaffCard(mChord));\\n\\n\\t\\t// Piano\\n\\t\\tmCardView.addCard(new PianoCard(mChord));\\n\\n\\t\\t// Guitar\\n\\t\\tmCardView.addCard(new GuitarCard(mChord));\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b525b9b8e9e8b0abda611e0b523780a5\",\n \"score\": \"0.44290492\",\n \"text\": \"@Override\\n\\t\\tpublic JsonElement serialize(LazyLoadContent src, Type typeOfSrc, JsonSerializationContext context) {\\n\\t\\t\\tJsonObject result = new JsonObject();\\n\\t\\t\\tresult.add(\\\"content\\\", new JsonPrimitive(src.getContent()));\\n\\t\\t\\treturn result;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16a38a5abeed411d2b69aa584005c7ba\",\n \"score\": \"0.4420432\",\n \"text\": \"PartedBswm createPartedBswm();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fadfb42a67afb24d14c877f81f05ce63\",\n \"score\": \"0.44157168\",\n \"text\": \"public String getContent(){\\n return \\\"Welkom bij het beste spel ooit. \\\\n\\\"\\r\\n + \\\"Hier komt willekeurige tekst dat u door het spel gaat leiden.\\\\n\\\"\\r\\n + \\\"Hier nog een zin enzo.\\\";\\r\\n \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee782b70dc33d18ac1913bc882fe65d4\",\n \"score\": \"0.4412806\",\n \"text\": \"@Override\\n\\tpublic void assemble(HumanEntity entity) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"671511143e857dd86e15dfba140ee5d2\",\n \"score\": \"0.4409098\",\n \"text\": \"@java.lang.Override\\n public com.clarifai.grpc.api.Embedding getEmbeddings(int index) {\\n return embeddings_.get(index);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e5444370e4716c9a900e13fb01c015a9\",\n \"score\": \"0.44085264\",\n \"text\": \"private static void embedBytes(byte[] bytes)\\r\\n {\\r\\n int size= bytes.length;\\r\\n for(int i=0; i< size; i++)\\r\\n {\\r\\n byte1= bytes[i];\\r\\n for(int j=6; j>=0; j-=2)\\r\\n { \\r\\n byte2= byte1;\\r\\n byte2>>= j;\\r\\n byte2&= 0x03;\\r\\n byte3= byteArrayIn[inputOutputMarker];\\r\\n byte3&= 0xFC;\\r\\n byte3|= byte2;\\r\\n byteOut.write(byte3);\\r\\n inputOutputMarker++;\\r\\n }\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5fdcc8cbfbfac0b0aa18bed123d60c24\",\n \"score\": \"0.4407146\",\n \"text\": \"@Override\\n public String render(Object model) {\\n return gson.toJson(model);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e55d0fa97579fe8207751ee2e69a0cf5\",\n \"score\": \"0.44068843\",\n \"text\": \"private void generateTag()\\n {\\n content.append(\\\"<div class=\\\\\\\"item\\\\\\\"><a target=\\\\\\\"_blank\\\\\\\" href=\\\\\\\"../\\\");\\n content.append(src); //target image\\n content.append(\\\"\\\\\\\">\\\");\\n content.append(\\\"<\\\");\\n content.append(\\\"img\\\");\\n content.append(\\\" \\\");\\n content.append(\\\" src=\\\\\\\"../\\\");\\n content.append(thumbnail); //thumbnail\\n content.append(\\\"\\\\\\\"> \\\");\\n content.append(\\\"</a>\\\");\\n\\n super.setContent(content.toString());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"716eddbcb23a1f72e310464d2f3e3280\",\n \"score\": \"0.4403615\",\n \"text\": \"public void buildModels() {\\n this.title.withNoTopPaddingLayout().titleText((CharSequence) this.context.getString(C6405R.string.host_referral_landing_title, new Object[]{this.referrerInfo.getReferralReward().getReferralRewardReferrer().formattedForDisplay()})).captionText((CharSequence) this.context.getString(C6405R.string.host_referral_landing_subtitle, new Object[]{this.referrerInfo.getReferralReward().getReferralRewardReferrer().formattedForDisplay(), Integer.valueOf(this.referrerInfo.getReferralReward().getRewardCountLimit())})).addTo(this);\\n this.button.text(this.context.getString(C6405R.string.host_referral_share_link)).showDivider(false).clickListener(HostReferralsEpoxyController$$Lambda$1.lambdaFactory$(this)).addTo(this);\\n this.divider.addTo(this);\\n this.credit.titleText(this.context.getString(C6405R.string.host_referral_earnings)).showDivider(true).clickListener(HostReferralsEpoxyController$$Lambda$2.lambdaFactory$(this)).addTo(this);\\n this.terms.titleText(this.context.getString(C6405R.string.host_referral_terms_and_conditions)).showDivider(true).clickListener(HostReferralsEpoxyController$$Lambda$3.lambdaFactory$(this)).addTo(this);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60ee4f30a7bf8917bdc5452570f7b4f5\",\n \"score\": \"0.43964946\",\n \"text\": \"private static PredictResponse predict(PredictionServiceClient predictionClient, ModelName modelName,\\n Map<String, String> params, ByteString content) {\\n\\n // Assign the image to payload\\n Image image = Image.newBuilder().setImageBytes(content).build();\\n ExamplePayload examplePayload = ExamplePayload.newBuilder().setImage(image).build();\\n\\n // Perform the AutoML Prediction request\\n return predictionClient.predict(modelName, examplePayload, params);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9c51cc73e7cb56148980ae1a6bca6339\",\n \"score\": \"0.4390175\",\n \"text\": \"@Override\\n public void viewMusic() {\\n this.musicView.render();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"19c366193290227fd54c7b034c87e56e\",\n \"score\": \"0.4387303\",\n \"text\": \"public Builder clearEmbeddings() {\\n if (embeddingsBuilder_ == null) {\\n embeddings_ = java.util.Collections.emptyList();\\n bitField0_ = (bitField0_ & ~0x00000008);\\n onChanged();\\n } else {\\n embeddingsBuilder_.clear();\\n }\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"315a6d8baa9d6981f6a7619e834fc1c7\",\n \"score\": \"0.43790174\",\n \"text\": \"@Override\\n\\tpublic void encender() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5d2b6bcdb0721761bdb078fb4099101b\",\n \"score\": \"0.4371788\",\n \"text\": \"@Override\\n public void resumeInline() {\\n jwPlayerView.play();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"120294a58795784e0594db8235e477a0\",\n \"score\": \"0.43697417\",\n \"text\": \"private Element addContentComplex(BioPaxObject bpObject, Element element) {\\r\\n\\t\\telement = addContentPhysicalEntity(bpObject, element);\\r\\n\\t\\t\\r\\n\\t\\tComplex ob = (Complex)bpObject;\\r\\n\\t\\tElement tmpElement = null;\\r\\n\\t\\t\\r\\n\\t\\tif(ob.getComponentStoichiometry() != null && ob.getComponentStoichiometry().size() > 0) {\\r\\n\\t\\t\\tList<Stoichiometry> list = ob.getComponentStoichiometry();\\r\\n\\t\\t\\tfor(Stoichiometry item : list) {\\r\\n\\t\\t\\t\\ttmpElement = new Element(\\\"componentStoichiometry\\\", bp);\\r\\n//\\t\\t\\t\\tif(item instanceof RdfObjectProxy) {\\r\\n//\\t\\t\\t\\t\\ttmpElement.setAttribute(\\\"resource\\\", ((RdfObjectProxy)item).getResource(), rdf);\\r\\n//\\t\\t\\t\\t} else {\\r\\n//\\t\\t\\t\\t\\ttmpElement.setAttribute(\\\"resource\\\", item.resourceFromID(), rdf);\\r\\n//\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\taddIDToProperty(tmpElement, item);\\r\\n\\t\\t\\t\\tmustPrintObject(item);\\r\\n\\t\\t\\t\\telement.addContent(tmpElement);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\tif(ob.getComponents() != null && ob.getComponents().size() > 0) {\\r\\n\\t\\t\\tList<PhysicalEntity> list = ob.getComponents();\\r\\n\\t\\t\\tfor(PhysicalEntity item : list) {\\r\\n\\t\\t\\t\\ttmpElement = new Element(\\\"component\\\", bp);\\r\\n\\t\\t\\t\\taddIDToProperty(tmpElement, item);\\r\\n\\t\\t\\t\\tmustPrintObject(item);\\r\\n\\t\\t\\t\\telement.addContent(tmpElement);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn element;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"251975510a1dc2eb06054372eab0adff\",\n \"score\": \"0.43651477\",\n \"text\": \"public void setContent(Object content) {\\n\\t\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"baa115624a6bc876f7c7d7bcab9e6b53\",\n \"score\": \"0.43555057\",\n \"text\": \"@java.lang.Override\\n public java.util.List<? extends com.clarifai.grpc.api.EmbeddingOrBuilder> \\n getEmbeddingsOrBuilderList() {\\n return embeddings_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"813fe1b14d4d12c3375d4da56dc149e8\",\n \"score\": \"0.4348204\",\n \"text\": \"public void produceContent(ContentEncoder encoder, IOControl ioControl) throws IOException {\\n/* 108 */ if (this.producer != null) {\\n/* 109 */ this.producer.produceContent(encoder, ioControl);\\n/* 110 */ if (encoder.isCompleted()) {\\n/* 111 */ this.producer.close();\\n/* */ }\\n/* */ } \\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dada3c50993404c6dea5f415d4e8173a\",\n \"score\": \"0.4347044\",\n \"text\": \"@Override\\n protected String generateContent() {\\n return String.format(\\\"bid(%1$s)\\\", bidAmount);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6dffe66fd4639e487a32518a5aec81c\",\n \"score\": \"0.4340667\",\n \"text\": \"public Builder addAllEmbeddings(\\n java.lang.Iterable<? extends com.clarifai.grpc.api.Embedding> values) {\\n if (embeddingsBuilder_ == null) {\\n ensureEmbeddingsIsMutable();\\n com.google.protobuf.AbstractMessageLite.Builder.addAll(\\n values, embeddings_);\\n onChanged();\\n } else {\\n embeddingsBuilder_.addAllMessages(values);\\n }\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c7c97dc7a2bd477cdcf4642090cb4428\",\n \"score\": \"0.4333505\",\n \"text\": \"public interface HtmlEmbeddable extends Serializable {\\r\\n\\r\\n\\tabstract HtmlElement getAncestor();\\r\\n\\t\\r\\n\\tabstract void setAncestor(HtmlElement ancestor);\\r\\n\\t\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"414679d0f958e0c2ae170aaa23fd0912\",\n \"score\": \"0.43239185\",\n \"text\": \"FrontendInner innerModel();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"975aebe3973bd6367927395b9bfbde8e\",\n \"score\": \"0.43238357\",\n \"text\": \"@Override\\n public String toString() {\\n return content.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3ac2f2b48443b7370b50a9eeb7ff9fcc\",\n \"score\": \"0.43237454\",\n \"text\": \"public com.clarifai.grpc.api.Embedding getEmbeddings(int index) {\\n if (embeddingsBuilder_ == null) {\\n return embeddings_.get(index);\\n } else {\\n return embeddingsBuilder_.getMessage(index);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"57a4d2e098487d2705cd6a4943281870\",\n \"score\": \"0.43145725\",\n \"text\": \"public Builder setEmbeddings(\\n int index, com.clarifai.grpc.api.Embedding value) {\\n if (embeddingsBuilder_ == null) {\\n if (value == null) {\\n throw new NullPointerException();\\n }\\n ensureEmbeddingsIsMutable();\\n embeddings_.set(index, value);\\n onChanged();\\n } else {\\n embeddingsBuilder_.setMessage(index, value);\\n }\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd3a8016b965490651d2182d43d6db0d\",\n \"score\": \"0.43085128\",\n \"text\": \"boolean isEmbedded();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b89e5bd65495d93ce2020280878f3907\",\n \"score\": \"0.43077433\",\n \"text\": \"@Override\\r\\n\\tpublic boolean verificaPistaEmborrachada() {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71177efd884afe47aed0bf1c718c9825\",\n \"score\": \"0.43072462\",\n \"text\": \"public String getMediaContent() {\\n return mediaContent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbcd9958f4c7a2f5dfc763132952ebbb\",\n \"score\": \"0.42989478\",\n \"text\": \"public INDArray getEmbeddings() {\\n return embeddings.dup();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dfd00159441f2333d3a9e181af1e7df7\",\n \"score\": \"0.42965612\",\n \"text\": \"@Override\\n public void prerender() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dfd00159441f2333d3a9e181af1e7df7\",\n \"score\": \"0.42965612\",\n \"text\": \"@Override\\n public void prerender() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b63437225109e6c412a718b9fc56ff90\",\n \"score\": \"0.42940158\",\n \"text\": \"private void loadForPlaying() {\\n\\t\\tmyParserController = new ParserController();\\n\\t\\tmyModel = myParserController.loadforPlaying(myPreviewFile);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58408adb62b77299c62fba6bee8c4c34\",\n \"score\": \"0.42918313\",\n \"text\": \"public Object getContent() {\\r\\n\\t\\treturn content;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"396181c2258af8e751fd8c7ddc243857\",\n \"score\": \"0.42885417\",\n \"text\": \"@java.lang.Override\\n public int getEmbeddingsCount() {\\n return embeddings_.size();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"794cf22c25b7a1a767b77a60476aa82b\",\n \"score\": \"0.42825025\",\n \"text\": \"public void setContent(Object content) {\\n this.content = content;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5cc783f0f79e1f1e7c3446248559c1f1\",\n \"score\": \"0.42760062\",\n \"text\": \"public void sendDisplay(){\\n model.sendDisplay();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5b00e6a0073c1eef91451a8ebb0bc62c\",\n \"score\": \"0.42752287\",\n \"text\": \"public View getConversationContent()\\n {\\n return m_conversationContent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9341c27db44d1b10acaf09540bcc1451\",\n \"score\": \"0.42667398\",\n \"text\": \"private void buildModel(ArrayList<HorizontalModel> arrayList, String exerciseName, String videoId){\\n\\n HorizontalModel someModel = new HorizontalModel();\\n someModel.setName(exerciseName);\\n someModel.setId(videoId);\\n arrayList.add(someModel);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02088efe2eb5b0803f0f57c1c3bbe754\",\n \"score\": \"0.4262374\",\n \"text\": \"ProtectableContainerResourceInner innerModel();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"603d0151e22237262d32f2f6997dcfa6\",\n \"score\": \"0.4258093\",\n \"text\": \"public Builder addEmbeddings(\\n int index, com.clarifai.grpc.api.Embedding value) {\\n if (embeddingsBuilder_ == null) {\\n if (value == null) {\\n throw new NullPointerException();\\n }\\n ensureEmbeddingsIsMutable();\\n embeddings_.add(index, value);\\n onChanged();\\n } else {\\n embeddingsBuilder_.addMessage(index, value);\\n }\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8434e0c2e7a94d03bf3abb952ef685e3\",\n \"score\": \"0.42537868\",\n \"text\": \"@Override\\n protected HttpContent makeJSONContent(MessageDTO message) {\\n String contentJson = toJson(message.getContent());\\n // Encrypt content JSON\\n String content = symmetricCipher.encrypt(contentJson);\\n if (content == null) {\\n Log.e(TAG, \\\"Error on content encrypting\\\");\\n// content = message.getContent();\\n content = \\\"\\\";\\n }\\n // Create new MessageDTO with encrypted content\\n message = new MessageDTO(message.getId(), content);\\n String json = toJson(message);\\n //System.out.println(json);\\n Log.i(TAG, \\\"New Message to \\\" + message.getId());\\n HttpContent httpContent = new ByteArrayContent(\\\"application/json\\\", json.getBytes());\\n return httpContent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb1f4aa072464545c761a33f229b53c9\",\n \"score\": \"0.4234505\",\n \"text\": \"@Override\\n public void playInline(PlayableConfiguration configuration) {\\n jwPlayerView.play();\\n Log.d(JWPlayerAdapter.TAG, \\\"playInline\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d85c55852599cad0954955783c78aed4\",\n \"score\": \"0.42318708\",\n \"text\": \"public void run() {\\n \\t\\trenderer.cube.newImage(bm, renderer.gl);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cbc5b66f3fae052dbf8f27a429f09dd3\",\n \"score\": \"0.42306393\",\n \"text\": \"public String toHTML() {\\n\\t\\tif(super.getId() == -1) return \\\"\\\";\\n\\t\\treturn String.format(\\n\\t\\t\\t\\\"<div>\\\" +\\n\\t\\t\\t\\\"<h2>%s</h2>\\\" +\\n\\t\\t\\t\\\"<p>%s</p>\\\" +\\n\\t\\t\\t\\\"<iframe src='%s' height=600 width=800></iframe>\\\" +\\n\\t\\t\\t\\\"<hr>\\\" +\\n\\t\\t\\t\\\"</div>\\\"\\n\\t\\t\\t, super.getBruker() + \\\"@\\\" + super.getDato(), super.getTekst(), url);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c6f3a5d5223b273848a83dee562868f\",\n \"score\": \"0.42257944\",\n \"text\": \"public CWaveletContainer() {\\n\\t\\tauthor = null;\\n\\t\\ttext = null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"013b63f2d7dca1b5b801432f2d560f41\",\n \"score\": \"0.42251253\",\n \"text\": \"public byte[] getcontent(){\\n return this.content;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d321ff1af297894805ddb89231b4d184\",\n \"score\": \"0.4222452\",\n \"text\": \"@Override\\n public void run() {\\n while (model.getRun()) {\\n //Verwijder te verwijderen objecten\\n while (model.getDestroy().size() > 0) {\\n Body b = (Body) model.getDestroy().remove(0);\\n if (model.getDoelen().contains(b)) {\\n model.getDoelen().remove(b);\\n }\\n wereld.destroyBody(b);\\n }\\n //Kijk of je gewonnen hebt\\n if (model.getDoelen().isEmpty()) {\\n gewonnen();\\n return;\\n }\\n //Kijk of je verloren hebt\\n if (model.getBozels().isEmpty()) {\\n verloren();\\n return;\\n }\\n //Step als er niet gepauseerd is\\n if (model.getPaused()) {\\n try {\\n wereld.step(model.getTijdsstap(), model.getSnelheid(), 3);\\n } catch (Exception exp) {\\n }\\n }\\n panel.repaint();\\n try {\\n Thread.sleep((long) (model.getTijdsstap() * 1000));\\n } catch (InterruptedException ex) {\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"587a62284376f63a5102b16d16a1d954\",\n \"score\": \"0.42223713\",\n \"text\": \"private void preview()\\n \\t{\\n\\t\\tworkingCryptogram = new Cryptogram(\\\"\\\", \\\"\\\", new Date(), txtPlaintext.getText());\\n \\t\\tcmpPreview.displayCryptogram(workingCryptogram.getCiphertext());\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c33ede49593420d317fedae5f7acd4a\",\n \"score\": \"0.4217748\",\n \"text\": \"B captionAsHtml();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c0cd22d01178dd1138361c15c6d531e9\",\n \"score\": \"0.42143953\",\n \"text\": \"protected VerticalFlowPanel buildModelTypePanel() {\\n ((Element) fhirModel.getElement().getChild(0)).setAttribute(\\\"aria-label\\\", \\\"Model FHIR\\\");\\n ((Element) qdmModel.getElement().getChild(0)).setAttribute(\\\"aria-label\\\", \\\"Model QDM\\\");\\n\\n VerticalFlowPanel measureModelPanel = new VerticalFlowPanel();\\n measureModelGroup.add(buildModelTypeLabel());\\n\\n fhirModel.setValue(true);\\n\\n measureModelPanel.add(fhirModel);\\n measureModelPanel.add(qdmModel);\\n return measureModelPanel;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f8e322860237276a694f1bed0139e3c2\",\n \"score\": \"0.42059523\",\n \"text\": \"@Override\\n protected void process(EngineTime time) {\\n //Here\\n build();\\n render();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"833385004c005a9b95c6f5a0df797406\",\n \"score\": \"0.42058924\",\n \"text\": \"public void bindDataToView(VideoModel model){\\n Glide.with(context).load(Uri.fromFile(new File(model.getFilePath())))\\n .apply(model.getRequestOption())\\n .into(thumbnailImageView);\\n\\n sizeTextView.setText(model.getFileSize());\\n formatTextView.setText(model.getFormat());\\n durationTextView.setText(GPlayerUtil.formatDuration(model.getDurationInMilliSecond()));\\n titleTextView.setText(model.getTitle());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e39343b5e2bb5d77fe62b3dda8782ecb\",\n \"score\": \"0.41986746\",\n \"text\": \"@Override\\n public void render() {\\n super.render();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a318f6e1d4b9325ee511335a400b1513\",\n \"score\": \"0.41981485\",\n \"text\": \"public Builder addEmbeddings(\\n com.clarifai.grpc.api.Embedding.Builder builderForValue) {\\n if (embeddingsBuilder_ == null) {\\n ensureEmbeddingsIsMutable();\\n embeddings_.add(builderForValue.build());\\n onChanged();\\n } else {\\n embeddingsBuilder_.addMessage(builderForValue.build());\\n }\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8829732c53cdeac1944b012b37c10fe\",\n \"score\": \"0.41978425\",\n \"text\": \"protected void createContents() {\\n\\t\\tsetText(\\\"Muokkaa m\\\\u00F6kki\\\\u00E4\\\");\\n\\t\\tsetSize(800, 600);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4aca288be25a502e452a46c8b816cf73\",\n \"score\": \"0.41919068\",\n \"text\": \"@Override\\n public void doAddictionScene() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"975ca30e5014dee28d727a9cd10c233f\",\n \"score\": \"0.41851968\",\n \"text\": \"public Object getContent() {\\n\\t return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0cf61e5cae5ee618a0084b484292e314\",\n \"score\": \"0.41752973\",\n \"text\": \"@Override\\n\\tpublic void excute(Model model) {\\n\\t\\tMap<String, Object> map = model.asMap();\\n\\t\\tHttpServletRequest request = (HttpServletRequest) map.get(\\\"request\\\");\\n\\t\\t//content_view에서 넘어오는 정보\\n\\t\\tString bId = request.getParameter(\\\"bId\\\");\\n\\t\\tString bName = request.getParameter(\\\"bName\\\");\\n\\t\\tString bTitle = request.getParameter(\\\"bTitle\\\");\\n\\t\\tString bContent = request.getParameter(\\\"bContent\\\");\\n\\t\\t\\n\\t\\tDao dao = new Dao();\\n\\t\\tdao.modify(bId,bName,bTitle,bContent);\\n\\t\\t\\n\\t\\t//받아오고 끝! 이하 코드는 없다\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4bb97cbf523d2dda8156657b9bded114\",\n \"score\": \"0.41739184\",\n \"text\": \"@Override\\r\\n public void onAdded() {\\r\\n entity.setView(texture);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"554bedc457c16b32ad547f41b6534388\",\n \"score\": \"0.41737443\",\n \"text\": \"public void display() {\\n\\t\\tSystem.out.println(question.getContent());\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":990999,"cells":{"query_id":{"kind":"string","value":"d16879c63f285a67e04ac53e53f87671"},"query":{"kind":"string","value":"Returns a vector with all undopossibilities."},"positive_passages":{"kind":"list like","value":[{"docid":"c31c23dbf1ae1f64e12496521b9e6bc7","score":"0.0","text":"@Override\n public Vector getBackPossibilities() {\n return historyModel.getBackPossibilities();\n }","title":""}],"string":"[\n {\n \"docid\": \"c31c23dbf1ae1f64e12496521b9e6bc7\",\n \"score\": \"0.0\",\n \"text\": \"@Override\\n public Vector getBackPossibilities() {\\n return historyModel.getBackPossibilities();\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"53b02111573f16808bac8e2e3132345f","score":"0.5685611","text":"public Vector invert() {\n\t\tVector result = new Vector(size());\n\t\tfor (int i = 0; i < vectorEle.length; i++) {\n\t\t\tresult.set(i, 1 / get(i));\n\t\t}\n\t\treturn result;\n\t}","title":""},{"docid":"8b366c64b9f51d4afc125e8dfc285d3f","score":"0.5589499","text":"public Enumeration getOpfacs()\n {\n return vector.elements();\n }","title":""},{"docid":"00bccb9e475f35d5b29f62e0ad8de3c7","score":"0.53688896","text":"public Vector getBadHops() {\n\n Vector hops = new Vector();\n\n if (badHops != null) {\n for (Enumeration e = badHops.elements(); e.hasMoreElements();) {\n hops.addElement(e.nextElement());\n }\n }\n return hops;\n }","title":""},{"docid":"6d892c9165ff57c616cb412c8be9459f","score":"0.53636074","text":"Vector blank();","title":""},{"docid":"37676e3d7228c7d92039190e3b54e0e9","score":"0.52719176","text":"public Vec neg()\n\t{\n\t\treturn copy().neg_ip();\n\t}","title":""},{"docid":"268a69134fc217cf9d5f9035c33ca844","score":"0.5257266","text":"public Vector Uni() {\n Vector z = new Vector(vector.length);\n Double mod = module();\n for (int i = 0; i < vector.length; i++) {\n z.vector[i] = vector[i] / mod;\n }\n return z;\n }","title":""},{"docid":"44fdad6b6cbe1a5325bc47996d931de7","score":"0.51814204","text":"@ReLogoBuilderGeneratedFor(\"csc332project.relogo.Unvaccinated\")\n\tpublic AgentSet<csc332project.relogo.Unvaccinated> unvaccinateds(){\n\t\tAgentSet<csc332project.relogo.Unvaccinated> a = new AgentSet<csc332project.relogo.Unvaccinated>();\n\t\tfor (Object e : this.getMyObserver().getContext().getObjects(csc332project.relogo.Unvaccinated.class)) {\n\t\t\tif (e instanceof csc332project.relogo.Unvaccinated){\n\t\t\t\ta.add((csc332project.relogo.Unvaccinated)e);\n\t\t\t}\n\t\t}\n\t\treturn a;\n\t}","title":""},{"docid":"17b02261c007e3319559cb65d38a645c","score":"0.5116972","text":"LongArray negate();","title":""},{"docid":"5178cc24769c47ced743af75322bd954","score":"0.50766546","text":"public ArrayList negacion(ArrayList<Integer> v) {\n ArrayList<Integer> vector = new ArrayList<>();\n for (int i = 0; i < v.size(); i++) {\n if (v.get(i) == 1) {\n vector.add(0);\n } else if (v.get(i) == 0) {\n vector.add(1);\n }\n }\n return vector;\n }","title":""},{"docid":"49fbaeeab86cca97f9c883003c1fbf76","score":"0.5064979","text":"public Vector<Operador> buscarSolucion(Estado inicial);","title":""},{"docid":"b7cf2a378ddc041fe175d5ff04e07e3b","score":"0.5043188","text":"public Vector negate() {\n\t\treturn new Vector(-x, -y); \n\t}","title":""},{"docid":"51c45f6bf07c0cf574e87e9a5f6ef324","score":"0.5015783","text":"List<WAMInstruction> getUnoptimizedInstructions();","title":""},{"docid":"1a00c43ea4ab4c33eeac6b02857f5496","score":"0.50074035","text":"INDArray noOp();","title":""},{"docid":"3c88ed45a2b5fded5c93ef569eeb2a96","score":"0.50020707","text":"@ReLogoBuilderGeneratedFor(\"csc332project.relogo.Unvaccinated\")\n\tpublic AgentSet<csc332project.relogo.Unvaccinated> unvaccinatedsHere(){\n\t Grid grid = getMyObserver().getGrid();\n\t GridPoint gridPoint = grid.getLocation(this);\n\t AgentSet<csc332project.relogo.Unvaccinated> result = new AgentSet<csc332project.relogo.Unvaccinated>();\n\t for (Turtle t : Utility.getTurtlesOnGridPoint(gridPoint,getMyObserver(),\"unvaccinated\")){\n\t\t\tif (t instanceof csc332project.relogo.Unvaccinated)\n\t\t\tresult.add((csc332project.relogo.Unvaccinated)t);\n\t\t}\n\t\treturn result;\n\t}","title":""},{"docid":"58632dc920fec53f6a276c73a41ee778","score":"0.49718788","text":"public Vector<Elemento> getUsciteSenzaAzioni();","title":""},{"docid":"20cf0fedc6e54e6ccf035c65f7226a39","score":"0.4961344","text":"public String imprimirVetoresAll() {\n\t\treturn Arrays.toString(elementos);\n\t}","title":""},{"docid":"5711b858a6fd0db11b97f03f87c91b18","score":"0.49523833","text":"public void cleanStudAnswVector() {\r\n course.cleanStudAnswVector();\r\n }","title":""},{"docid":"ba0483b51c1ab5daea8db843bdc7ffb2","score":"0.49474004","text":"public Stadion[] getAlleStadien(){\n\t\treturn v.toArray(new Stadion[0]);\n\t}","title":""},{"docid":"c8797210e7d3b9832e10621f65566cf6","score":"0.49394593","text":"public Collection operands()\n {\n if (operands == null) {\n return new ArrayList();\n }\n \n for (int i = 0; i < operands.size(); i++) {\n LocalExpr ei = (LocalExpr) operands.get(i);\n \n for (int j = operands.size()-1; j > i; j--) {\n\tLocalExpr ej = (LocalExpr) operands.get(j);\n\t\n\tif (ei.def() == ej.def()) {\n\t ej.cleanup();\n\t operands.remove(j);\n\t}\n }\n }\n \n return operands;\n }","title":""},{"docid":"2dbc366b145d918dee0707f0f176ebec","score":"0.4917592","text":"public int[] getEO() {\n\t\tint[] eo = new int[12];\n\t\tfor(int i =0; i < 12; i++) {\n\t\t\teo[i] = p.getPermutation()[24+i*2]%2;\n\t\t}\n\t\treturn eo;\n\t}","title":""},{"docid":"6eac5a6f23dd3a7782658bdd1dc20c09","score":"0.48624954","text":"public static byte[] getValidOps() {\n final byte[] copy = new byte[VALID_OPS.length];\n System.arraycopy(VALID_OPS, 0, copy, 0, copy.length);\n return copy;\n }","title":""},{"docid":"cd822c2b4640b07bfce862e97e08ee9e","score":"0.48615187","text":"abstract public double[] vertexUncollateralizedNegativeExposure();","title":""},{"docid":"23de6b33438c7d9fb3a057504e168b29","score":"0.4844532","text":"public List<StrictBitVector> extend(StrictBitVector choices) {\n if (choices.getSize() < 1) {\n throw new IllegalArgumentException(\n \"The amount of OTs must be a positive integer\");\n }\n int bytesNeeded = choices.getSize() / Byte.SIZE;\n final List<StrictBitVector> tlistZero = prgs.parallelStream()\n .limit(resources.getComputationalSecurityParameter())\n .map(p -> p.getFirst())\n .map(drbg -> {\n byte[] byteBuffer = new byte[bytesNeeded];\n drbg.nextBytes(byteBuffer);\n return byteBuffer;\n })\n .map(StrictBitVector::new)\n .collect(Collectors.toList());\n final List<StrictBitVector> ulist = prgs.parallelStream()\n .limit(resources.getComputationalSecurityParameter())\n .map(p -> p.getSecond())\n .map(drbg -> {\n byte[] byteBuffer = new byte[bytesNeeded];\n drbg.nextBytes(byteBuffer);\n return byteBuffer;\n })\n .map(StrictBitVector::new)\n .collect(Collectors.toList());\n ulist.parallelStream().forEach(u -> u.xor(choices));\n IntStream.range(0, resources.getComputationalSecurityParameter()).parallel()\n .forEach(i -> ulist.get(i).xor(tlistZero.get(i)));\n sendList(ulist);\n return Transpose.transpose(tlistZero);\n }","title":""},{"docid":"920ae3477b0bc3e72d0c86887519dc96","score":"0.4841041","text":"public Point[] allAdjacent() {\n\t\treturn new Point[] { up(), down(), left(), right() };\n\t}","title":""},{"docid":"1b649186cb8f3127991621a0d49392dc","score":"0.4819942","text":"public static void main(String[] args){\n Vector v = new Vector();\r\n Vector v2 = new Vector();\r\n \r\n for(int i = 0; i != 10; i++){\r\n v.addElement(i); \r\n }\r\n System.out.println(\"El vector sera el siguiente: \" +v);\r\n \r\n for(int k = v.size()-1; k != -1; --k){\r\n v2.addElement(k);\r\n }\r\n System.out.println(\"El vector ordenado en orden inverso: \" +v2);\r\n }","title":""},{"docid":"147a28a578b4e506ea1816d1e6086382","score":"0.48169178","text":"private ArrayList<DIR> xOR(){\n ArrayList<DIR> mirror = new ArrayList<>();\n for(DIR turn: curve){\n if (turn.equals(DIR.L)){\n mirror.add(DIR.R);\n }else{\n mirror.add(DIR.L);\n }\n }\n return mirror;\n }","title":""},{"docid":"a7038e1a6f5c192c63696f9befac01c9","score":"0.48026577","text":"public gp_Vec Normalized() {\n return new gp_Vec(OCCwrapJavaJNI.gp_Vec_Normalized(swigCPtr, this), true);\n }","title":""},{"docid":"caea55c6034484c77b33b9941ed4a731","score":"0.48012048","text":"public Vector normalised() {\n\t\tVector v = new Vector(this);\n\t\tv.normalise();\n\t\treturn v;\n\t}","title":""},{"docid":"55ae9815af34f2a98f7b4601e7d567c6","score":"0.47993097","text":"private boolean getAllXor() { // change to private!!!!!!!\n return this.allXor;\n }","title":""},{"docid":"db6f243e8609ef7551beecfc2dbbce07","score":"0.4793407","text":"public Set getPossibleList() {\r\n Set check = new HashSet();\r\n for (int item : occupied) {\r\n if (item % 8 == 0) {\r\n for (int i : rightDir) {\r\n try {\r\n if (gameModel.getPlayField()[item + i] == 0) check.add(item + i);\r\n } catch (ArrayIndexOutOfBoundsException e) {}\r\n }\r\n } else if (item + 1 % 8 == 0) {\r\n for (int i : leftDir) {\r\n try {\r\n if (gameModel.getPlayField()[item + i] == 0) check.add(item + i);\r\n } catch (ArrayIndexOutOfBoundsException e) {}\r\n }\r\n } else {\r\n for (int i : directions) {\r\n try {\r\n if (gameModel.getPlayField()[item + i] == 0) check.add(item + i);\r\n } catch (ArrayIndexOutOfBoundsException e) {}\r\n }\r\n }\r\n }\r\n return check;\r\n }","title":""},{"docid":"1ff5c1d546a084ed848f336a6ca1b459","score":"0.47843465","text":"public Set<OWLAxiom> getNonQLAxioms() {\n return Collections.unmodifiableSet(nonOWLQLAxioms);\n }","title":""},{"docid":"e06b8da663412fefa76ced8fb74f8eec","score":"0.4777484","text":"private List<Integer> restOfTheIndexes() {\n\t\tList<Integer> restOfTheIndexes = new ArrayList<Integer>();\n\t\tint totalIndexSpace = (int) Math.pow(2, this.domain.size());\n\t\tfor(int i = 0; i < totalIndexSpace; i++) {\n\t\t\trestOfTheIndexes.add(i);\n\t\t}\n\t\trestOfTheIndexes.removeAll(indexes);\n\t\trestOfTheIndexes.removeAll(dontCares);\n\t\treturn restOfTheIndexes;\n\t}","title":""},{"docid":"f88276fec06d072a07b61413dc346e17","score":"0.47759217","text":"public Enumeration elements () { \r\n Vector v = new Vector ();\r\n v.addElement (this);\r\n return v.elements (); \r\n }","title":""},{"docid":"da34f143b240fd3db5e19ef43e614de6","score":"0.47697353","text":"public static void ArrayOddList() {\n\t\tArrayList<Integer> y = new ArrayList<Integer>();\n\t\tfor (int i = 1; i <= 255; i++) {\n\t\t\tif (i % 2 != 0) {\n\t\t\t\ty.add(i);\n\t\t\t}\n\t\t}\n\t\tSystem.out.println(y);\n\t}","title":""},{"docid":"1fb2e95ad33ae685c633b65388179c8b","score":"0.47683635","text":"public int[] getDangling() {\r\n\r\n\t\tint n = getSize();\r\n\t\tint[] d = new int[n];\r\n\r\n\t\tboolean foundOne = false;\r\n\r\n\t\tfor (int i = 0; i < n; i++) {\r\n\r\n\t\t\tfor (int j = 0; j < n; j++) {\r\n\r\n\t\t\t\tif (matrix[i][j] > 0) {\r\n\t\t\t\t\tfoundOne = true;\r\n\t\t\t\t\tbreak;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\r\n\t\t\tif (foundOne) {\r\n\t\t\t\td[i] = 0;\r\n\t\t\t} else {\r\n\t\t\t\td[i] = 1;\r\n\t\t\t}\r\n\r\n\t\t\tfoundOne = false;\r\n\t\t}\r\n\r\n\t\treturn d;\r\n\t}","title":""},{"docid":"52438c412629edf06fbe021d4559b6fa","score":"0.47541717","text":"public Mask complement(){\r\n Mask comp=new Mask(mask.length);\r\n for (int i=0;i<mask.length;i++)\r\n comp.mask[i]=!mask[i];\r\n comp.nactivos=mask.length-nactivos;\r\n return comp;\r\n }","title":""},{"docid":"657469f3c040ab25ea47b074a0858989","score":"0.47506872","text":"private byte[] invSubstituteBytes(byte[] state) {\n byte[] result = new byte[state.length];\n for (int i = 0; i < state.length; i++) {\n // For each entry in state, apply the inverse S-box.\n // Add 0xff to ensure no negative vals.\n result[i] = (byte)(INV_S[state[i] & 0xff]);\n }\n return result;\n }","title":""},{"docid":"323c14a051ed18de3749eebd5522dd02","score":"0.47459903","text":"public List<IMWE<T>> getFalseNegatives();","title":""},{"docid":"632e786fef9d4a8d6cd6c8a27d0a8586","score":"0.47394788","text":"public List getIsolation() {\n List res = new Vector();\n\n try {\n res = new Chm62edtSitesAttributesDomain().findWhere(\"ID_SITE='\" + idSite + \"' AND NAME='ISOLATION'\");\n } catch (Exception _ex) {\n _ex.printStackTrace(System.err);\n res = new Vector();\n }\n return res;\n }","title":""},{"docid":"a0072cb2d841f5e8e91df542cede508e","score":"0.4726726","text":"public ArrayList disyuncion(ArrayList<Integer> v1, ArrayList<Integer> v2) {\n ArrayList<Integer> vector = new ArrayList<>();\n for (int i = 0; i < v1.size(); i++) {\n if (v1.get(i) == 1 || v2.get(i) == 1) {\n vector.add(1);\n } else {\n vector.add(0);\n }\n }\n return vector;\n }","title":""},{"docid":"2a2162f148d8bacf4539357bc5d6e1f8","score":"0.47228542","text":"public List<OrdenCompraInsumo> getOrdenCompraInsumoEnviada() {\r\n\r\n\t\tList<OrdenCompraInsumo> result = new LinkedList<OrdenCompraInsumo>();\r\n\t\tEstado adminEstado = new Estado();\r\n\r\n\t\tString criterios = \" where id_Estado_Orden = \" + adminEstado.getIdEstado(\"ENVIADA\") + \" or id_Estado_Orden = \" + adminEstado.getIdEstado(\"RECIBIDA PARCIAL\");\r\n\r\n\t\tSession sec = HibernateUtil.getSessionFactory().getCurrentSession();\r\n\t\tsec.beginTransaction();\r\n\r\n\t\tresult = sec.createQuery(\"from OrdenCompraInsumo\" + criterios).list();\r\n\r\n\t\tsec.close();\r\n\r\n\t\treturn result;\r\n\t}","title":""},{"docid":"ff3a82db3c2756fdd1f2cfa917ad494c","score":"0.47173646","text":"public VectorRegion undefine () {\n return this.setMax(null).setMin(null);\n }","title":""},{"docid":"6770665942a2fb60d68ca5effdd26919","score":"0.47164416","text":"@ReLogoBuilderGeneratedFor(\"csc332project.relogo.Unvaccinated\")\n\tpublic AgentSet<csc332project.relogo.Unvaccinated> unvaccinatedsAt(Number nX, Number nY){\n\t\tdouble dx = nX.doubleValue();\n\t\tdouble dy = nY.doubleValue();\n\t\tdouble[] displacement = {dx,dy};\n\n\t\ttry{\n\t\tGridPoint gridPoint = Utility.getGridPointAtDisplacement(getTurtleLocation(),displacement,getMyObserver());\n\t\tAgentSet<csc332project.relogo.Unvaccinated> result = new AgentSet<csc332project.relogo.Unvaccinated>();\t\t\t\t\t\t\n\t\tfor (Turtle t : Utility.getTurtlesOnGridPoint(gridPoint,getMyObserver(),\"unvaccinated\")){\n\t\t\tif (t instanceof csc332project.relogo.Unvaccinated)\n\t\t\tresult.add((csc332project.relogo.Unvaccinated)t);\n\t\t}\n\t\treturn result;\n\t\t}\n\t\tcatch(SpatialException e){\n\t\t\treturn new AgentSet<csc332project.relogo.Unvaccinated>();\n\t\t}\n\t}","title":""},{"docid":"089831000eeba8e2b747436a0ecc5516","score":"0.4715394","text":"@Override\n \tpublic Node[] getInverseSurrogateNeighbors() {\n \t\treturn L.getInverseSurrogateNeighbors();\n \t}","title":""},{"docid":"3a52eb2c16b5abadc0548797fc0691f5","score":"0.47072715","text":"private static Set<CompOperType> getOperations(CompOperType first, CompOperType last) {\n Set<CompOperType> set = EnumSet.range(first, last);\n set.remove(first);\n set.remove(last);\n return Collections.unmodifiableSet(set);\n }","title":""},{"docid":"91c91c6270818674b45761458e80d4ed","score":"0.4698845","text":"public double[][] range() {\n if (!full) {\n throw new IllegalStateException(\"This is not a FULL singular value decomposition.\");\n }\n\n int nr = 0;\n double[][] rnge = new double[m][rank()];\n for (int j = 0; j < n; j++) {\n if (s[j] > tol) {\n for (int i = 0; i < m; i++) {\n rnge[i][nr] = U[i][j];\n }\n nr++;\n }\n }\n return rnge;\n }","title":""},{"docid":"ce8dcde9a8ba3c6ad166295b9d5815e5","score":"0.46974602","text":"boolean allʔ();","title":""},{"docid":"7f641cddc6d75ee1b5fd21ade85ef4f4","score":"0.46847087","text":"void excludeInvisibleTriangles() {\n\t\tfor (int b = 0; b < nc; b++) {\n\t\t\tif (!visible[t(o(b))]) {\n\t\t\t\tO[b] = b;\n\t\t\t}\n\t\t}\n\t}","title":""},{"docid":"0d87fcab95f6fdfc45d30e104fb13770","score":"0.46726608","text":"public Iterable<WorldState> solution() {\n ArrayList<WorldState> a = new ArrayList<>(result.count);\n while (result.prevNode != null) {\n a.add(result.prevNode.ws);\n result = result.prevNode;\n }\n return a;\n }","title":""},{"docid":"10f5430e3deb70b16fff31c8cb92dfe1","score":"0.46716517","text":"public Vector<Character> getWhiteSide()\n {\n Vector<Character> whiteSide = new Vector<>(board.length + 2, '+');\n\n int i = 0;\n for(; i < board.length; i++)\n {\n whiteSide.add(i,board[0][i]);\n }\n\n whiteSide.add(i,board[1][0]);\n i++;\n whiteSide.add(i,board[1][board.length-1]);\n\n return whiteSide;\n }","title":""},{"docid":"d8a81c989ce2805cd0c9d8908f9efcdb","score":"0.46709466","text":"Vec makeIdentityTransf() {\n assert _domain != null : \"Cannot make an identity transformation of non-enum vector!\";\n return makeTransf(seq(0, _domain.length), null, _domain);\n }","title":""},{"docid":"92a58ae1d75d187d1b1a9cd31ab893a6","score":"0.46692216","text":"Vector blank(Factory factory);","title":""},{"docid":"4ff99f3fcbe434abd17bc3cc3e7d8b58","score":"0.4661793","text":"public List<Sq<Sq<Cell>>> explosion(){\n List<Sq<Sq<Cell>>> toReturn = new ArrayList<Sq<Sq<Cell>>>();\n\n Direction[] dir=Direction.values();\n for(Direction d:dir){\n toReturn.add(explosionArmTowards(d));\n }\n return toReturn;\n }","title":""},{"docid":"94f11efe41e1f52e6b8984deaefd1f6a","score":"0.46498865","text":"public Set<V> createUnmodifiableEmptyCollection() {\n return Collections.emptySet();\n }","title":""},{"docid":"deac044ca15681aec4df5989d279c556","score":"0.4646295","text":"public Vector expandable () {\n Vector dimensions = dimensions();\n double x = dimensions.x / 2;\n double y = dimensions.y / 2;\n double z = dimensions.z / 2;\n return new Vector(x, y, z);\n }","title":""},{"docid":"401ab4378ea0f0336cacd2cb5dfdc3dc","score":"0.46441045","text":"ByteVector blank();","title":""},{"docid":"ad8a5c052259f2167b53d7fa93bb1c15","score":"0.46352446","text":"public Vector getAugmentedVector() {\n Vector V = new Vector(getRowDimension());\n for (int i = 0; i < getRowDimension(); i++) {\n V.set(i, get(i, getColumnDimension() - 1));\n }\n return V;\n }","title":""},{"docid":"95824d16512c7f24b987e34d071ac1fa","score":"0.46215007","text":"public finiteSet union(finiteSet u);","title":""},{"docid":"1877f4f113bfff23d49ce087ffa4b1d9","score":"0.46180648","text":"public gp_Vec Reversed() {\n return new gp_Vec(OCCwrapJavaJNI.gp_Vec_Reversed(swigCPtr, this), true);\n }","title":""},{"docid":"8acbeecb18419022c2316301601e252b","score":"0.460882","text":"public List<String> getSeWithVsNotScaledout() {\n return seWithVsNotScaledout;\n }","title":""},{"docid":"a29d26b766db08619f26639b71b200d4","score":"0.46075496","text":"public void initialBan(Vector /* String */ masks);","title":""},{"docid":"bd82a6e243e566e309c3831f3ebc816d","score":"0.46065763","text":"public UnionAll unionAll() {\n terminate();\n return new UnionAll(context);\n }","title":""},{"docid":"2cc4c2d0e15c0538bfcefabf36754d08","score":"0.4605639","text":"public Vector getValues() {\r\n\t\treturn null;\r\n\t}","title":""},{"docid":"6110911bad8038574de9491261eb5e1c","score":"0.4599563","text":"List<PrivilegeModel> getMissingPrivileges(List<PrivilegeModel> currentPrivileges);","title":""},{"docid":"a3f5ce411eda380565ce4e53ec1aac2b","score":"0.4594992","text":"public ArrayList<ICell> adjacentOutCells() {\n return new ArrayList<ICell>();\n }","title":""},{"docid":"12acc21185ee3c5c10b7d39d869c1a5b","score":"0.45944795","text":"public double[][] nullspace() {\n if (!full) {\n throw new IllegalStateException(\"This is not a FULL singular value decomposition.\");\n }\n\n int nn = 0;\n double[][] nullsp = new double[n][nullity()];\n for (int j = 0; j < n; j++) {\n if (s[j] <= tol) {\n for (int jj = 0; jj < n; jj++) {\n nullsp[jj][nn] = V[jj][j];\n }\n nn++;\n }\n }\n return nullsp;\n }","title":""},{"docid":"d46f8d54119ed392affa3d4604b94821","score":"0.45882627","text":"@Test\n\tpublic void deMorgan()\n\t{\n\t\tfor ( final T l : values )\n\t\t\tfor ( final T r : values )\n\t\t\t{\n\t\t\t\tassertEquals(\n\t\t\t\t\t\tnegate.apply( and.apply( l, r ) ),\n\t\t\t\t\t\tor.apply( negate.apply( l ), negate.apply( r ) )\n\t\t\t\t);\n\t\t\t\tassertEquals(\n\t\t\t\t\t\tnegate.apply( or.apply( l, r ) ),\n\t\t\t\t\t\tand.apply( negate.apply( l ), negate.apply( r ) )\n\t\t\t\t);\n\t\t\t}\n\t}","title":""},{"docid":"60dfd3e5233c1e5cd571551e56bb8349","score":"0.45873207","text":"public List<Integer> getOutOfBoundsStates() {\n\t\tList<ASVConfig> path = ps.getPath();\n\t\tList<Integer> badStates = new ArrayList<Integer>();\n\t\tfor (int i = 0; i < path.size(); i++) {\n\t\t\tif (!fitsBounds(path.get(i))) {\n\t\t\t\tbadStates.add(i);\n\t\t\t}\n\t\t}\n\t\treturn badStates;\n\t}","title":""},{"docid":"39a9eb1e8a911c50d8fdeb018f4fd46e","score":"0.45858628","text":"public double[] getRandomVector()\n {\n double[] x = new double[9];\n x[0] = Math.round(3*Math.random())/3.0;\n x[1] = Math.round(3*Math.random())/3.0;\n x[2] = Math.round((3*Math.random())/3.0);\n x[3] = Math.round((3*Math.random())/3.0);\n x[4] = Math.round(Math.random());\n x[5] = 0;\n x[6] = Math.round(Math.random());\n x[7] = Math.round(2*Math.random());\n x[8] = Math.round(2*Math.random());\n \n return x;\n }","title":""},{"docid":"03dd9c38b5fd29e6c7ff9c8c3b09b058","score":"0.45807508","text":"public List<IMWE<T>> getFalsePositives();","title":""},{"docid":"87cc47be70995c3e2c69e8964a7f71bf","score":"0.4575401","text":"public Set<PersonDTO> allUnassigned();","title":""},{"docid":"a84ac379749d22cf7362e30d194cf475","score":"0.456843","text":"public Vector abs() {\n\t\treturn new Vector(Math.abs(x), Math.abs(y));\n\t}","title":""},{"docid":"a6f67fdb2e73c4b80d8f1a068529171f","score":"0.4568223","text":"public static int[] ordenarArray(int[] array) {\r\n int aux[] = new int[array.length], indice;\r\n for (int i = 0; i < array.length; i++) {\r\n aux[i] = minimoDelvector(array);//llamada que recibe el minimo del vector\r\n indice = minimoIndiceDelvector(array);// llamada que recibe posicion en el indice del menor entero\r\n array[indice] = Integer.MAX_VALUE;// machaca ese numero con el valor maximo segun su indice en el array\r\n }\r\n return aux;\r\n }","title":""},{"docid":"e14e074060dc245a399d84f9c1f2d5f4","score":"0.45657775","text":"public Collection<Operation> getEffectiveOperations() {\r\n\t\t\tCollection<Operation> ops = this.getOperations();\r\n\t\t\tops.removeAll(this.invalidOperations);\r\n\t\t\treturn ops;\r\n\t\t}","title":""},{"docid":"9abd6c752a9fd8bf7cca6ff580d6e712","score":"0.45595858","text":"public void toZeroOnOneSide(ArrayList<Term> sideBeingCanceled){\n \tfor(int i=0;i<sideBeingCanceled.size();i++){\r\n \t\tleftSide.add(getHighestDegreeTerm(sideBeingCanceled).getAddInverse());\r\n \t\t\trightSide.add(getHighestDegreeTerm(sideBeingCanceled).getAddInverse());\r\n \t\t}\r\n }","title":""},{"docid":"eb92c3e2817e91738ff24a337b9e06b1","score":"0.45579964","text":"public Vector negate() {\n\t\treturn this.scale(-1);\n\t}","title":""},{"docid":"72960fd4d9bb6c4b9ac9d0a2f63794b7","score":"0.45560494","text":"public Vec makeZero() { return makeCon(0); }","title":""},{"docid":"1221a0ad83c34131023c51df119accb8","score":"0.45528418","text":"int[] getFloors();","title":""},{"docid":"7c03e172b9c3f50e04f5f11448bca36f","score":"0.45507082","text":"public List getUnidadesNegocio(Map criteria);","title":""},{"docid":"51cacc411a20efc49c6cb2db3bf87b8d","score":"0.4546109","text":"public Set<OWLAxiom> getNormalizedAxioms() {\n return Collections.unmodifiableSet(normalizedOntology.getAxioms());\n }","title":""},{"docid":"0cb11dafb7fb9391dfeb09e48af49512","score":"0.45449454","text":"public Collection<Right> selectExternalRightsList( )\n {\n return selectExternalRightsList( 0 );\n }","title":""},{"docid":"43a6aace9202d151ae55f2d503e80bba","score":"0.45448175","text":"public List<PVector> edges() {\n return edges(null);\n }","title":""},{"docid":"22fd8cfb21c3d4796f6e1bcb4eb3a2c7","score":"0.45377436","text":"public Vector getPositives(Vector entities_to_exclude, Concept concept)\n {\n //System.out.println(\"started getPositives\");\n //System.out.println(\"entities_to_exclude is: \" + entities_to_exclude);\n Vector positives = new Vector();\n\n //Concept left_concept = (Concept)faulty_conj.lh_concept;\n //Concept right_concept = (Concept)faulty_conj.rh_concept;\n\n\n //needs work - all of the entities in the left hand concept (given a concept return a vector of all the entities which satisfy it\n for (int i=0; i<concept.datatable.size(); i++)\n {\n Row row = (Row)concept.datatable.elementAt(i);\n if(!entities_to_exclude.contains(row.entity))\n {\n positives.addElement(row.entity);\n }\n }\n //get Vector of objects in P, and for each object, if it is in counters_to_lhs, do not add it to positives, otherwise add it\n\n //System.out.println(\"finished getPositives\");\n return positives;\n }","title":""},{"docid":"0d54f55551ecde0797b3a9240675c04c","score":"0.4528635","text":"public List<Effect> getInvalidPotions(List<EffectInstance> activePotions){ return TypeUtils.EMPTY_POTIONS; }","title":""},{"docid":"97189caf60912c2a914ea06a491f1fca","score":"0.45222726","text":"public List findNotEunisSpeciesListedAnnexesDirectives() {\n List results = new Vector();\n\n try {\n results =\n new Chm62edtSitesAttributesDomain()\n .findWhere(\"ID_SITE='\"\n + getSiteObject().getIdSite()\n + \"' AND SOURCE_TABLE IN ('AMPREP','BIRD','FISHES','INVERT','MAMMAL','PLANT') AND NAME LIKE 'OTHER_SPECIES_%' GROUP BY SUBSTRING(name,length(name) - instr(reverse(name),'_') + 2)\");\n } catch (Exception _ex) {\n _ex.printStackTrace(System.err);\n results = new Vector();\n }\n if (null == results) {\n results = new Vector();\n }\n return results;\n }","title":""},{"docid":"0bb0d8298686257660d7c0e089b5621c","score":"0.45166796","text":"public double[] getSides();","title":""},{"docid":"536221d18e2cba53ef44ad86c06d13d8","score":"0.45129243","text":"public static List<Direction> values() {\r\n return values;\r\n }","title":""},{"docid":"fcfbe16f022d1c1bcc591262f34a49a1","score":"0.4512894","text":"int[] nonZeroPositions();","title":""},{"docid":"283e21af9bb9e6ebd1627dfe370f9712","score":"0.4512203","text":"abstract public double[] vertexUncollateralizedExposure();","title":""},{"docid":"506ce639cf6beeac42bf35dadb95af9b","score":"0.45074216","text":"Set<Prayer> toDeactivate() {\n Type[] types = getTypes();\n if (types.length == 0) return EMPTY;\n Set<Prayer> deactivate = new HashSet<>();\n for (Type type : types) {\n deactivate.addAll(forType(type));\n }\n return deactivate;\n\n }","title":""},{"docid":"e197ce14835a94718ca39f5d224438f9","score":"0.45060086","text":"ByteVectorIterator nonZeroIterator();","title":""},{"docid":"53338c129523e2e288cb2df065db1f58","score":"0.45045453","text":"public abstract ImmutableSet<MorphFeature> morphFeatures();","title":""},{"docid":"af783ee4c2883b2f378ed2f418fc9f05","score":"0.4501321","text":"private Set getForbiddenNodes() {\r\n Set forbidden = new HashSet(getNodes());\r\n Iterator it = getNodes().iterator();\r\n while (it.hasNext()) {\r\n Node n = (Node) it.next();\r\n Set nnbors = n.getNborsUnsynchronized(); // used to be synchronized\r\n forbidden.addAll(nnbors);\r\n }\r\n return forbidden;\r\n }","title":""},{"docid":"f54cf5684f1375f4ce87481150d4df3f","score":"0.44987997","text":"ForbiddenIslandWorld() {\n this.waterHeight = 0;\n this.count = 0;\n this.board = this.toList(\n this.makeCell(this.mountainHeight()));\n this.partsPicked = 0;\n this.rand = new Random();\n this.player = this.createPlayer();\n this.helicopter = this.createHelicopter();\n this.parts = this.createParts();\n }","title":""},{"docid":"aa268f64b3a980ce51cc31ee9027739a","score":"0.4495526","text":"abstract public double[] vertexUncollateralizedPositiveExposure();","title":""},{"docid":"96f83c178aa1f9ad164b454f20928a15","score":"0.4494772","text":"@Override\n public Collection<? extends Spatial> tangibles() {\n List<Spatial> tangibles = new ArrayList<>();\n for (Entity c : constituents) {\n for (Spatial t : c.tangibles()) {\n tangibles.add(t);\n }\n }\n return tangibles;\n }","title":""},{"docid":"03b90fe7ff5447fdf7f01a59abe4a35f","score":"0.4491839","text":"public List allElements();","title":""},{"docid":"3af8ccf9f6f944f738d824e2ebe9d7f1","score":"0.44892615","text":"public Set<Object> getLegalValues(){\n if (value != null){\n Set<Object> values = new HashSet<Object>();\n values.add(value);\n return values;\n }\n return new HashSet<Object>(legalValues);\n }","title":""},{"docid":"746b5262a34b6f8b0bed8b100dffdf18","score":"0.44862205","text":"@Override\n public List<Position> getLegalMoves() {\n\tsuper.getLegalMoves();\n\tfor(int i=this.position.getX()+1, j=this.position.getY()+1;i<8 && j<8;i++,j++){\n\t this.legalMoves.add(new Position(i,j)); // We add the moves that can be done to the rigth and down \n\t}\n\tfor(int i=this.position.getX()-1, j=this.position.getY()-1;i>=0 && j>=0;i--,j--){\n\t this.legalMoves.add(new Position(i,j)); // We add the moves that can be done to the left and up\n\t}\n\tfor(int i=this.position.getX()+1, j=this.position.getY()-1;i<8 && j>=0;i++,j--){\n\t this.legalMoves.add(new Position(i,j)); // We add the moves that can be done to the rigth and up\n\t}\n\tfor(int i=this.position.getX()-1, j=this.position.getY()+1;i>=0 && j<8;i--,j++){\n\t this.legalMoves.add(new Position(i,j)); // We add the moves that can be done to the left and down\n\t}\t \n\n return this.legalMoves;\n }","title":""},{"docid":"07390fbb09b5ff332fbb27c1afc090bc","score":"0.44848529","text":"protected List<Territory> getAllEmptyTerritories() {\n System.out.println(\"DEBUG:\");\n return gameMap.getTerritories().stream().filter(t -> t.getOwner()==null).collect(Collectors.toList());\n }","title":""},{"docid":"50df86b40e303bbbc2820223ad9f1c37","score":"0.44848114","text":"List<Long> apply_V2(long n) {\n long masked = n | orMask;\n //System.out.println(\"result: \" + toBinary(masked));\n //StringBuilder wf = new StringBuilder(toBinary(masked));\n //for (int f : floating) {\n // int idx = mask.length() - f;\n // wf.replace(idx - 1, idx, \"X\");\n //}\n //System.out.println(\"floating: \" + wf.toString());\n\n List<Long> result = new ArrayList<>();\n expand(0, masked, result);\n\n //System.out.println();\n //for (long r : result) {\n // System.out.println(\" \" + toBinary(r));\n //}\n //System.out.println();\n\n return result;\n }","title":""}],"string":"[\n {\n \"docid\": \"53b02111573f16808bac8e2e3132345f\",\n \"score\": \"0.5685611\",\n \"text\": \"public Vector invert() {\\n\\t\\tVector result = new Vector(size());\\n\\t\\tfor (int i = 0; i < vectorEle.length; i++) {\\n\\t\\t\\tresult.set(i, 1 / get(i));\\n\\t\\t}\\n\\t\\treturn result;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b366c64b9f51d4afc125e8dfc285d3f\",\n \"score\": \"0.5589499\",\n \"text\": \"public Enumeration getOpfacs()\\n {\\n return vector.elements();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00bccb9e475f35d5b29f62e0ad8de3c7\",\n \"score\": \"0.53688896\",\n \"text\": \"public Vector getBadHops() {\\n\\n Vector hops = new Vector();\\n\\n if (badHops != null) {\\n for (Enumeration e = badHops.elements(); e.hasMoreElements();) {\\n hops.addElement(e.nextElement());\\n }\\n }\\n return hops;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d892c9165ff57c616cb412c8be9459f\",\n \"score\": \"0.53636074\",\n \"text\": \"Vector blank();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37676e3d7228c7d92039190e3b54e0e9\",\n \"score\": \"0.52719176\",\n \"text\": \"public Vec neg()\\n\\t{\\n\\t\\treturn copy().neg_ip();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"268a69134fc217cf9d5f9035c33ca844\",\n \"score\": \"0.5257266\",\n \"text\": \"public Vector Uni() {\\n Vector z = new Vector(vector.length);\\n Double mod = module();\\n for (int i = 0; i < vector.length; i++) {\\n z.vector[i] = vector[i] / mod;\\n }\\n return z;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44fdad6b6cbe1a5325bc47996d931de7\",\n \"score\": \"0.51814204\",\n \"text\": \"@ReLogoBuilderGeneratedFor(\\\"csc332project.relogo.Unvaccinated\\\")\\n\\tpublic AgentSet<csc332project.relogo.Unvaccinated> unvaccinateds(){\\n\\t\\tAgentSet<csc332project.relogo.Unvaccinated> a = new AgentSet<csc332project.relogo.Unvaccinated>();\\n\\t\\tfor (Object e : this.getMyObserver().getContext().getObjects(csc332project.relogo.Unvaccinated.class)) {\\n\\t\\t\\tif (e instanceof csc332project.relogo.Unvaccinated){\\n\\t\\t\\t\\ta.add((csc332project.relogo.Unvaccinated)e);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn a;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17b02261c007e3319559cb65d38a645c\",\n \"score\": \"0.5116972\",\n \"text\": \"LongArray negate();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5178cc24769c47ced743af75322bd954\",\n \"score\": \"0.50766546\",\n \"text\": \"public ArrayList negacion(ArrayList<Integer> v) {\\n ArrayList<Integer> vector = new ArrayList<>();\\n for (int i = 0; i < v.size(); i++) {\\n if (v.get(i) == 1) {\\n vector.add(0);\\n } else if (v.get(i) == 0) {\\n vector.add(1);\\n }\\n }\\n return vector;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"49fbaeeab86cca97f9c883003c1fbf76\",\n \"score\": \"0.5064979\",\n \"text\": \"public Vector<Operador> buscarSolucion(Estado inicial);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7cf2a378ddc041fe175d5ff04e07e3b\",\n \"score\": \"0.5043188\",\n \"text\": \"public Vector negate() {\\n\\t\\treturn new Vector(-x, -y); \\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"51c45f6bf07c0cf574e87e9a5f6ef324\",\n \"score\": \"0.5015783\",\n \"text\": \"List<WAMInstruction> getUnoptimizedInstructions();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1a00c43ea4ab4c33eeac6b02857f5496\",\n \"score\": \"0.50074035\",\n \"text\": \"INDArray noOp();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3c88ed45a2b5fded5c93ef569eeb2a96\",\n \"score\": \"0.50020707\",\n \"text\": \"@ReLogoBuilderGeneratedFor(\\\"csc332project.relogo.Unvaccinated\\\")\\n\\tpublic AgentSet<csc332project.relogo.Unvaccinated> unvaccinatedsHere(){\\n\\t Grid grid = getMyObserver().getGrid();\\n\\t GridPoint gridPoint = grid.getLocation(this);\\n\\t AgentSet<csc332project.relogo.Unvaccinated> result = new AgentSet<csc332project.relogo.Unvaccinated>();\\n\\t for (Turtle t : Utility.getTurtlesOnGridPoint(gridPoint,getMyObserver(),\\\"unvaccinated\\\")){\\n\\t\\t\\tif (t instanceof csc332project.relogo.Unvaccinated)\\n\\t\\t\\tresult.add((csc332project.relogo.Unvaccinated)t);\\n\\t\\t}\\n\\t\\treturn result;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58632dc920fec53f6a276c73a41ee778\",\n \"score\": \"0.49718788\",\n \"text\": \"public Vector<Elemento> getUsciteSenzaAzioni();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"20cf0fedc6e54e6ccf035c65f7226a39\",\n \"score\": \"0.4961344\",\n \"text\": \"public String imprimirVetoresAll() {\\n\\t\\treturn Arrays.toString(elementos);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5711b858a6fd0db11b97f03f87c91b18\",\n \"score\": \"0.49523833\",\n \"text\": \"public void cleanStudAnswVector() {\\r\\n course.cleanStudAnswVector();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba0483b51c1ab5daea8db843bdc7ffb2\",\n \"score\": \"0.49474004\",\n \"text\": \"public Stadion[] getAlleStadien(){\\n\\t\\treturn v.toArray(new Stadion[0]);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c8797210e7d3b9832e10621f65566cf6\",\n \"score\": \"0.49394593\",\n \"text\": \"public Collection operands()\\n {\\n if (operands == null) {\\n return new ArrayList();\\n }\\n \\n for (int i = 0; i < operands.size(); i++) {\\n LocalExpr ei = (LocalExpr) operands.get(i);\\n \\n for (int j = operands.size()-1; j > i; j--) {\\n\\tLocalExpr ej = (LocalExpr) operands.get(j);\\n\\t\\n\\tif (ei.def() == ej.def()) {\\n\\t ej.cleanup();\\n\\t operands.remove(j);\\n\\t}\\n }\\n }\\n \\n return operands;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2dbc366b145d918dee0707f0f176ebec\",\n \"score\": \"0.4917592\",\n \"text\": \"public int[] getEO() {\\n\\t\\tint[] eo = new int[12];\\n\\t\\tfor(int i =0; i < 12; i++) {\\n\\t\\t\\teo[i] = p.getPermutation()[24+i*2]%2;\\n\\t\\t}\\n\\t\\treturn eo;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6eac5a6f23dd3a7782658bdd1dc20c09\",\n \"score\": \"0.48624954\",\n \"text\": \"public static byte[] getValidOps() {\\n final byte[] copy = new byte[VALID_OPS.length];\\n System.arraycopy(VALID_OPS, 0, copy, 0, copy.length);\\n return copy;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd822c2b4640b07bfce862e97e08ee9e\",\n \"score\": \"0.48615187\",\n \"text\": \"abstract public double[] vertexUncollateralizedNegativeExposure();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23de6b33438c7d9fb3a057504e168b29\",\n \"score\": \"0.4844532\",\n \"text\": \"public List<StrictBitVector> extend(StrictBitVector choices) {\\n if (choices.getSize() < 1) {\\n throw new IllegalArgumentException(\\n \\\"The amount of OTs must be a positive integer\\\");\\n }\\n int bytesNeeded = choices.getSize() / Byte.SIZE;\\n final List<StrictBitVector> tlistZero = prgs.parallelStream()\\n .limit(resources.getComputationalSecurityParameter())\\n .map(p -> p.getFirst())\\n .map(drbg -> {\\n byte[] byteBuffer = new byte[bytesNeeded];\\n drbg.nextBytes(byteBuffer);\\n return byteBuffer;\\n })\\n .map(StrictBitVector::new)\\n .collect(Collectors.toList());\\n final List<StrictBitVector> ulist = prgs.parallelStream()\\n .limit(resources.getComputationalSecurityParameter())\\n .map(p -> p.getSecond())\\n .map(drbg -> {\\n byte[] byteBuffer = new byte[bytesNeeded];\\n drbg.nextBytes(byteBuffer);\\n return byteBuffer;\\n })\\n .map(StrictBitVector::new)\\n .collect(Collectors.toList());\\n ulist.parallelStream().forEach(u -> u.xor(choices));\\n IntStream.range(0, resources.getComputationalSecurityParameter()).parallel()\\n .forEach(i -> ulist.get(i).xor(tlistZero.get(i)));\\n sendList(ulist);\\n return Transpose.transpose(tlistZero);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"920ae3477b0bc3e72d0c86887519dc96\",\n \"score\": \"0.4841041\",\n \"text\": \"public Point[] allAdjacent() {\\n\\t\\treturn new Point[] { up(), down(), left(), right() };\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b649186cb8f3127991621a0d49392dc\",\n \"score\": \"0.4819942\",\n \"text\": \"public static void main(String[] args){\\n Vector v = new Vector();\\r\\n Vector v2 = new Vector();\\r\\n \\r\\n for(int i = 0; i != 10; i++){\\r\\n v.addElement(i); \\r\\n }\\r\\n System.out.println(\\\"El vector sera el siguiente: \\\" +v);\\r\\n \\r\\n for(int k = v.size()-1; k != -1; --k){\\r\\n v2.addElement(k);\\r\\n }\\r\\n System.out.println(\\\"El vector ordenado en orden inverso: \\\" +v2);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"147a28a578b4e506ea1816d1e6086382\",\n \"score\": \"0.48169178\",\n \"text\": \"private ArrayList<DIR> xOR(){\\n ArrayList<DIR> mirror = new ArrayList<>();\\n for(DIR turn: curve){\\n if (turn.equals(DIR.L)){\\n mirror.add(DIR.R);\\n }else{\\n mirror.add(DIR.L);\\n }\\n }\\n return mirror;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7038e1a6f5c192c63696f9befac01c9\",\n \"score\": \"0.48026577\",\n \"text\": \"public gp_Vec Normalized() {\\n return new gp_Vec(OCCwrapJavaJNI.gp_Vec_Normalized(swigCPtr, this), true);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"caea55c6034484c77b33b9941ed4a731\",\n \"score\": \"0.48012048\",\n \"text\": \"public Vector normalised() {\\n\\t\\tVector v = new Vector(this);\\n\\t\\tv.normalise();\\n\\t\\treturn v;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"55ae9815af34f2a98f7b4601e7d567c6\",\n \"score\": \"0.47993097\",\n \"text\": \"private boolean getAllXor() { // change to private!!!!!!!\\n return this.allXor;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db6f243e8609ef7551beecfc2dbbce07\",\n \"score\": \"0.4793407\",\n \"text\": \"public Set getPossibleList() {\\r\\n Set check = new HashSet();\\r\\n for (int item : occupied) {\\r\\n if (item % 8 == 0) {\\r\\n for (int i : rightDir) {\\r\\n try {\\r\\n if (gameModel.getPlayField()[item + i] == 0) check.add(item + i);\\r\\n } catch (ArrayIndexOutOfBoundsException e) {}\\r\\n }\\r\\n } else if (item + 1 % 8 == 0) {\\r\\n for (int i : leftDir) {\\r\\n try {\\r\\n if (gameModel.getPlayField()[item + i] == 0) check.add(item + i);\\r\\n } catch (ArrayIndexOutOfBoundsException e) {}\\r\\n }\\r\\n } else {\\r\\n for (int i : directions) {\\r\\n try {\\r\\n if (gameModel.getPlayField()[item + i] == 0) check.add(item + i);\\r\\n } catch (ArrayIndexOutOfBoundsException e) {}\\r\\n }\\r\\n }\\r\\n }\\r\\n return check;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ff5c1d546a084ed848f336a6ca1b459\",\n \"score\": \"0.47843465\",\n \"text\": \"public Set<OWLAxiom> getNonQLAxioms() {\\n return Collections.unmodifiableSet(nonOWLQLAxioms);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e06b8da663412fefa76ced8fb74f8eec\",\n \"score\": \"0.4777484\",\n \"text\": \"private List<Integer> restOfTheIndexes() {\\n\\t\\tList<Integer> restOfTheIndexes = new ArrayList<Integer>();\\n\\t\\tint totalIndexSpace = (int) Math.pow(2, this.domain.size());\\n\\t\\tfor(int i = 0; i < totalIndexSpace; i++) {\\n\\t\\t\\trestOfTheIndexes.add(i);\\n\\t\\t}\\n\\t\\trestOfTheIndexes.removeAll(indexes);\\n\\t\\trestOfTheIndexes.removeAll(dontCares);\\n\\t\\treturn restOfTheIndexes;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f88276fec06d072a07b61413dc346e17\",\n \"score\": \"0.47759217\",\n \"text\": \"public Enumeration elements () { \\r\\n Vector v = new Vector ();\\r\\n v.addElement (this);\\r\\n return v.elements (); \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da34f143b240fd3db5e19ef43e614de6\",\n \"score\": \"0.47697353\",\n \"text\": \"public static void ArrayOddList() {\\n\\t\\tArrayList<Integer> y = new ArrayList<Integer>();\\n\\t\\tfor (int i = 1; i <= 255; i++) {\\n\\t\\t\\tif (i % 2 != 0) {\\n\\t\\t\\t\\ty.add(i);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tSystem.out.println(y);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fb2e95ad33ae685c633b65388179c8b\",\n \"score\": \"0.47683635\",\n \"text\": \"public int[] getDangling() {\\r\\n\\r\\n\\t\\tint n = getSize();\\r\\n\\t\\tint[] d = new int[n];\\r\\n\\r\\n\\t\\tboolean foundOne = false;\\r\\n\\r\\n\\t\\tfor (int i = 0; i < n; i++) {\\r\\n\\r\\n\\t\\t\\tfor (int j = 0; j < n; j++) {\\r\\n\\r\\n\\t\\t\\t\\tif (matrix[i][j] > 0) {\\r\\n\\t\\t\\t\\t\\tfoundOne = true;\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\tif (foundOne) {\\r\\n\\t\\t\\t\\td[i] = 0;\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\td[i] = 1;\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\tfoundOne = false;\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\treturn d;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"52438c412629edf06fbe021d4559b6fa\",\n \"score\": \"0.47541717\",\n \"text\": \"public Mask complement(){\\r\\n Mask comp=new Mask(mask.length);\\r\\n for (int i=0;i<mask.length;i++)\\r\\n comp.mask[i]=!mask[i];\\r\\n comp.nactivos=mask.length-nactivos;\\r\\n return comp;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"657469f3c040ab25ea47b074a0858989\",\n \"score\": \"0.47506872\",\n \"text\": \"private byte[] invSubstituteBytes(byte[] state) {\\n byte[] result = new byte[state.length];\\n for (int i = 0; i < state.length; i++) {\\n // For each entry in state, apply the inverse S-box.\\n // Add 0xff to ensure no negative vals.\\n result[i] = (byte)(INV_S[state[i] & 0xff]);\\n }\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"323c14a051ed18de3749eebd5522dd02\",\n \"score\": \"0.47459903\",\n \"text\": \"public List<IMWE<T>> getFalseNegatives();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"632e786fef9d4a8d6cd6c8a27d0a8586\",\n \"score\": \"0.47394788\",\n \"text\": \"public List getIsolation() {\\n List res = new Vector();\\n\\n try {\\n res = new Chm62edtSitesAttributesDomain().findWhere(\\\"ID_SITE='\\\" + idSite + \\\"' AND NAME='ISOLATION'\\\");\\n } catch (Exception _ex) {\\n _ex.printStackTrace(System.err);\\n res = new Vector();\\n }\\n return res;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a0072cb2d841f5e8e91df542cede508e\",\n \"score\": \"0.4726726\",\n \"text\": \"public ArrayList disyuncion(ArrayList<Integer> v1, ArrayList<Integer> v2) {\\n ArrayList<Integer> vector = new ArrayList<>();\\n for (int i = 0; i < v1.size(); i++) {\\n if (v1.get(i) == 1 || v2.get(i) == 1) {\\n vector.add(1);\\n } else {\\n vector.add(0);\\n }\\n }\\n return vector;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a2162f148d8bacf4539357bc5d6e1f8\",\n \"score\": \"0.47228542\",\n \"text\": \"public List<OrdenCompraInsumo> getOrdenCompraInsumoEnviada() {\\r\\n\\r\\n\\t\\tList<OrdenCompraInsumo> result = new LinkedList<OrdenCompraInsumo>();\\r\\n\\t\\tEstado adminEstado = new Estado();\\r\\n\\r\\n\\t\\tString criterios = \\\" where id_Estado_Orden = \\\" + adminEstado.getIdEstado(\\\"ENVIADA\\\") + \\\" or id_Estado_Orden = \\\" + adminEstado.getIdEstado(\\\"RECIBIDA PARCIAL\\\");\\r\\n\\r\\n\\t\\tSession sec = HibernateUtil.getSessionFactory().getCurrentSession();\\r\\n\\t\\tsec.beginTransaction();\\r\\n\\r\\n\\t\\tresult = sec.createQuery(\\\"from OrdenCompraInsumo\\\" + criterios).list();\\r\\n\\r\\n\\t\\tsec.close();\\r\\n\\r\\n\\t\\treturn result;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff3a82db3c2756fdd1f2cfa917ad494c\",\n \"score\": \"0.47173646\",\n \"text\": \"public VectorRegion undefine () {\\n return this.setMax(null).setMin(null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6770665942a2fb60d68ca5effdd26919\",\n \"score\": \"0.47164416\",\n \"text\": \"@ReLogoBuilderGeneratedFor(\\\"csc332project.relogo.Unvaccinated\\\")\\n\\tpublic AgentSet<csc332project.relogo.Unvaccinated> unvaccinatedsAt(Number nX, Number nY){\\n\\t\\tdouble dx = nX.doubleValue();\\n\\t\\tdouble dy = nY.doubleValue();\\n\\t\\tdouble[] displacement = {dx,dy};\\n\\n\\t\\ttry{\\n\\t\\tGridPoint gridPoint = Utility.getGridPointAtDisplacement(getTurtleLocation(),displacement,getMyObserver());\\n\\t\\tAgentSet<csc332project.relogo.Unvaccinated> result = new AgentSet<csc332project.relogo.Unvaccinated>();\\t\\t\\t\\t\\t\\t\\n\\t\\tfor (Turtle t : Utility.getTurtlesOnGridPoint(gridPoint,getMyObserver(),\\\"unvaccinated\\\")){\\n\\t\\t\\tif (t instanceof csc332project.relogo.Unvaccinated)\\n\\t\\t\\tresult.add((csc332project.relogo.Unvaccinated)t);\\n\\t\\t}\\n\\t\\treturn result;\\n\\t\\t}\\n\\t\\tcatch(SpatialException e){\\n\\t\\t\\treturn new AgentSet<csc332project.relogo.Unvaccinated>();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"089831000eeba8e2b747436a0ecc5516\",\n \"score\": \"0.4715394\",\n \"text\": \"@Override\\n \\tpublic Node[] getInverseSurrogateNeighbors() {\\n \\t\\treturn L.getInverseSurrogateNeighbors();\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a52eb2c16b5abadc0548797fc0691f5\",\n \"score\": \"0.47072715\",\n \"text\": \"private static Set<CompOperType> getOperations(CompOperType first, CompOperType last) {\\n Set<CompOperType> set = EnumSet.range(first, last);\\n set.remove(first);\\n set.remove(last);\\n return Collections.unmodifiableSet(set);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91c91c6270818674b45761458e80d4ed\",\n \"score\": \"0.4698845\",\n \"text\": \"public double[][] range() {\\n if (!full) {\\n throw new IllegalStateException(\\\"This is not a FULL singular value decomposition.\\\");\\n }\\n\\n int nr = 0;\\n double[][] rnge = new double[m][rank()];\\n for (int j = 0; j < n; j++) {\\n if (s[j] > tol) {\\n for (int i = 0; i < m; i++) {\\n rnge[i][nr] = U[i][j];\\n }\\n nr++;\\n }\\n }\\n return rnge;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce8dcde9a8ba3c6ad166295b9d5815e5\",\n \"score\": \"0.46974602\",\n \"text\": \"boolean allʔ();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f641cddc6d75ee1b5fd21ade85ef4f4\",\n \"score\": \"0.46847087\",\n \"text\": \"void excludeInvisibleTriangles() {\\n\\t\\tfor (int b = 0; b < nc; b++) {\\n\\t\\t\\tif (!visible[t(o(b))]) {\\n\\t\\t\\t\\tO[b] = b;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d87fcab95f6fdfc45d30e104fb13770\",\n \"score\": \"0.46726608\",\n \"text\": \"public Iterable<WorldState> solution() {\\n ArrayList<WorldState> a = new ArrayList<>(result.count);\\n while (result.prevNode != null) {\\n a.add(result.prevNode.ws);\\n result = result.prevNode;\\n }\\n return a;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10f5430e3deb70b16fff31c8cb92dfe1\",\n \"score\": \"0.46716517\",\n \"text\": \"public Vector<Character> getWhiteSide()\\n {\\n Vector<Character> whiteSide = new Vector<>(board.length + 2, '+');\\n\\n int i = 0;\\n for(; i < board.length; i++)\\n {\\n whiteSide.add(i,board[0][i]);\\n }\\n\\n whiteSide.add(i,board[1][0]);\\n i++;\\n whiteSide.add(i,board[1][board.length-1]);\\n\\n return whiteSide;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d8a81c989ce2805cd0c9d8908f9efcdb\",\n \"score\": \"0.46709466\",\n \"text\": \"Vec makeIdentityTransf() {\\n assert _domain != null : \\\"Cannot make an identity transformation of non-enum vector!\\\";\\n return makeTransf(seq(0, _domain.length), null, _domain);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92a58ae1d75d187d1b1a9cd31ab893a6\",\n \"score\": \"0.46692216\",\n \"text\": \"Vector blank(Factory factory);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ff99f3fcbe434abd17bc3cc3e7d8b58\",\n \"score\": \"0.4661793\",\n \"text\": \"public List<Sq<Sq<Cell>>> explosion(){\\n List<Sq<Sq<Cell>>> toReturn = new ArrayList<Sq<Sq<Cell>>>();\\n\\n Direction[] dir=Direction.values();\\n for(Direction d:dir){\\n toReturn.add(explosionArmTowards(d));\\n }\\n return toReturn;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"94f11efe41e1f52e6b8984deaefd1f6a\",\n \"score\": \"0.46498865\",\n \"text\": \"public Set<V> createUnmodifiableEmptyCollection() {\\n return Collections.emptySet();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"deac044ca15681aec4df5989d279c556\",\n \"score\": \"0.4646295\",\n \"text\": \"public Vector expandable () {\\n Vector dimensions = dimensions();\\n double x = dimensions.x / 2;\\n double y = dimensions.y / 2;\\n double z = dimensions.z / 2;\\n return new Vector(x, y, z);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"401ab4378ea0f0336cacd2cb5dfdc3dc\",\n \"score\": \"0.46441045\",\n \"text\": \"ByteVector blank();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad8a5c052259f2167b53d7fa93bb1c15\",\n \"score\": \"0.46352446\",\n \"text\": \"public Vector getAugmentedVector() {\\n Vector V = new Vector(getRowDimension());\\n for (int i = 0; i < getRowDimension(); i++) {\\n V.set(i, get(i, getColumnDimension() - 1));\\n }\\n return V;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"95824d16512c7f24b987e34d071ac1fa\",\n \"score\": \"0.46215007\",\n \"text\": \"public finiteSet union(finiteSet u);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1877f4f113bfff23d49ce087ffa4b1d9\",\n \"score\": \"0.46180648\",\n \"text\": \"public gp_Vec Reversed() {\\n return new gp_Vec(OCCwrapJavaJNI.gp_Vec_Reversed(swigCPtr, this), true);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8acbeecb18419022c2316301601e252b\",\n \"score\": \"0.460882\",\n \"text\": \"public List<String> getSeWithVsNotScaledout() {\\n return seWithVsNotScaledout;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a29d26b766db08619f26639b71b200d4\",\n \"score\": \"0.46075496\",\n \"text\": \"public void initialBan(Vector /* String */ masks);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd82a6e243e566e309c3831f3ebc816d\",\n \"score\": \"0.46065763\",\n \"text\": \"public UnionAll unionAll() {\\n terminate();\\n return new UnionAll(context);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2cc4c2d0e15c0538bfcefabf36754d08\",\n \"score\": \"0.4605639\",\n \"text\": \"public Vector getValues() {\\r\\n\\t\\treturn null;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6110911bad8038574de9491261eb5e1c\",\n \"score\": \"0.4599563\",\n \"text\": \"List<PrivilegeModel> getMissingPrivileges(List<PrivilegeModel> currentPrivileges);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a3f5ce411eda380565ce4e53ec1aac2b\",\n \"score\": \"0.4594992\",\n \"text\": \"public ArrayList<ICell> adjacentOutCells() {\\n return new ArrayList<ICell>();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12acc21185ee3c5c10b7d39d869c1a5b\",\n \"score\": \"0.45944795\",\n \"text\": \"public double[][] nullspace() {\\n if (!full) {\\n throw new IllegalStateException(\\\"This is not a FULL singular value decomposition.\\\");\\n }\\n\\n int nn = 0;\\n double[][] nullsp = new double[n][nullity()];\\n for (int j = 0; j < n; j++) {\\n if (s[j] <= tol) {\\n for (int jj = 0; jj < n; jj++) {\\n nullsp[jj][nn] = V[jj][j];\\n }\\n nn++;\\n }\\n }\\n return nullsp;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d46f8d54119ed392affa3d4604b94821\",\n \"score\": \"0.45882627\",\n \"text\": \"@Test\\n\\tpublic void deMorgan()\\n\\t{\\n\\t\\tfor ( final T l : values )\\n\\t\\t\\tfor ( final T r : values )\\n\\t\\t\\t{\\n\\t\\t\\t\\tassertEquals(\\n\\t\\t\\t\\t\\t\\tnegate.apply( and.apply( l, r ) ),\\n\\t\\t\\t\\t\\t\\tor.apply( negate.apply( l ), negate.apply( r ) )\\n\\t\\t\\t\\t);\\n\\t\\t\\t\\tassertEquals(\\n\\t\\t\\t\\t\\t\\tnegate.apply( or.apply( l, r ) ),\\n\\t\\t\\t\\t\\t\\tand.apply( negate.apply( l ), negate.apply( r ) )\\n\\t\\t\\t\\t);\\n\\t\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60dfd3e5233c1e5cd571551e56bb8349\",\n \"score\": \"0.45873207\",\n \"text\": \"public List<Integer> getOutOfBoundsStates() {\\n\\t\\tList<ASVConfig> path = ps.getPath();\\n\\t\\tList<Integer> badStates = new ArrayList<Integer>();\\n\\t\\tfor (int i = 0; i < path.size(); i++) {\\n\\t\\t\\tif (!fitsBounds(path.get(i))) {\\n\\t\\t\\t\\tbadStates.add(i);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn badStates;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39a9eb1e8a911c50d8fdeb018f4fd46e\",\n \"score\": \"0.45858628\",\n \"text\": \"public double[] getRandomVector()\\n {\\n double[] x = new double[9];\\n x[0] = Math.round(3*Math.random())/3.0;\\n x[1] = Math.round(3*Math.random())/3.0;\\n x[2] = Math.round((3*Math.random())/3.0);\\n x[3] = Math.round((3*Math.random())/3.0);\\n x[4] = Math.round(Math.random());\\n x[5] = 0;\\n x[6] = Math.round(Math.random());\\n x[7] = Math.round(2*Math.random());\\n x[8] = Math.round(2*Math.random());\\n \\n return x;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"03dd9c38b5fd29e6c7ff9c8c3b09b058\",\n \"score\": \"0.45807508\",\n \"text\": \"public List<IMWE<T>> getFalsePositives();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87cc47be70995c3e2c69e8964a7f71bf\",\n \"score\": \"0.4575401\",\n \"text\": \"public Set<PersonDTO> allUnassigned();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a84ac379749d22cf7362e30d194cf475\",\n \"score\": \"0.456843\",\n \"text\": \"public Vector abs() {\\n\\t\\treturn new Vector(Math.abs(x), Math.abs(y));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a6f67fdb2e73c4b80d8f1a068529171f\",\n \"score\": \"0.4568223\",\n \"text\": \"public static int[] ordenarArray(int[] array) {\\r\\n int aux[] = new int[array.length], indice;\\r\\n for (int i = 0; i < array.length; i++) {\\r\\n aux[i] = minimoDelvector(array);//llamada que recibe el minimo del vector\\r\\n indice = minimoIndiceDelvector(array);// llamada que recibe posicion en el indice del menor entero\\r\\n array[indice] = Integer.MAX_VALUE;// machaca ese numero con el valor maximo segun su indice en el array\\r\\n }\\r\\n return aux;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e14e074060dc245a399d84f9c1f2d5f4\",\n \"score\": \"0.45657775\",\n \"text\": \"public Collection<Operation> getEffectiveOperations() {\\r\\n\\t\\t\\tCollection<Operation> ops = this.getOperations();\\r\\n\\t\\t\\tops.removeAll(this.invalidOperations);\\r\\n\\t\\t\\treturn ops;\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9abd6c752a9fd8bf7cca6ff580d6e712\",\n \"score\": \"0.45595858\",\n \"text\": \"public void toZeroOnOneSide(ArrayList<Term> sideBeingCanceled){\\n \\tfor(int i=0;i<sideBeingCanceled.size();i++){\\r\\n \\t\\tleftSide.add(getHighestDegreeTerm(sideBeingCanceled).getAddInverse());\\r\\n \\t\\t\\trightSide.add(getHighestDegreeTerm(sideBeingCanceled).getAddInverse());\\r\\n \\t\\t}\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb92c3e2817e91738ff24a337b9e06b1\",\n \"score\": \"0.45579964\",\n \"text\": \"public Vector negate() {\\n\\t\\treturn this.scale(-1);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"72960fd4d9bb6c4b9ac9d0a2f63794b7\",\n \"score\": \"0.45560494\",\n \"text\": \"public Vec makeZero() { return makeCon(0); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1221a0ad83c34131023c51df119accb8\",\n \"score\": \"0.45528418\",\n \"text\": \"int[] getFloors();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7c03e172b9c3f50e04f5f11448bca36f\",\n \"score\": \"0.45507082\",\n \"text\": \"public List getUnidadesNegocio(Map criteria);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"51cacc411a20efc49c6cb2db3bf87b8d\",\n \"score\": \"0.4546109\",\n \"text\": \"public Set<OWLAxiom> getNormalizedAxioms() {\\n return Collections.unmodifiableSet(normalizedOntology.getAxioms());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0cb11dafb7fb9391dfeb09e48af49512\",\n \"score\": \"0.45449454\",\n \"text\": \"public Collection<Right> selectExternalRightsList( )\\n {\\n return selectExternalRightsList( 0 );\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43a6aace9202d151ae55f2d503e80bba\",\n \"score\": \"0.45448175\",\n \"text\": \"public List<PVector> edges() {\\n return edges(null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22fd8cfb21c3d4796f6e1bcb4eb3a2c7\",\n \"score\": \"0.45377436\",\n \"text\": \"public Vector getPositives(Vector entities_to_exclude, Concept concept)\\n {\\n //System.out.println(\\\"started getPositives\\\");\\n //System.out.println(\\\"entities_to_exclude is: \\\" + entities_to_exclude);\\n Vector positives = new Vector();\\n\\n //Concept left_concept = (Concept)faulty_conj.lh_concept;\\n //Concept right_concept = (Concept)faulty_conj.rh_concept;\\n\\n\\n //needs work - all of the entities in the left hand concept (given a concept return a vector of all the entities which satisfy it\\n for (int i=0; i<concept.datatable.size(); i++)\\n {\\n Row row = (Row)concept.datatable.elementAt(i);\\n if(!entities_to_exclude.contains(row.entity))\\n {\\n positives.addElement(row.entity);\\n }\\n }\\n //get Vector of objects in P, and for each object, if it is in counters_to_lhs, do not add it to positives, otherwise add it\\n\\n //System.out.println(\\\"finished getPositives\\\");\\n return positives;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d54f55551ecde0797b3a9240675c04c\",\n \"score\": \"0.4528635\",\n \"text\": \"public List<Effect> getInvalidPotions(List<EffectInstance> activePotions){ return TypeUtils.EMPTY_POTIONS; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"97189caf60912c2a914ea06a491f1fca\",\n \"score\": \"0.45222726\",\n \"text\": \"public List findNotEunisSpeciesListedAnnexesDirectives() {\\n List results = new Vector();\\n\\n try {\\n results =\\n new Chm62edtSitesAttributesDomain()\\n .findWhere(\\\"ID_SITE='\\\"\\n + getSiteObject().getIdSite()\\n + \\\"' AND SOURCE_TABLE IN ('AMPREP','BIRD','FISHES','INVERT','MAMMAL','PLANT') AND NAME LIKE 'OTHER_SPECIES_%' GROUP BY SUBSTRING(name,length(name) - instr(reverse(name),'_') + 2)\\\");\\n } catch (Exception _ex) {\\n _ex.printStackTrace(System.err);\\n results = new Vector();\\n }\\n if (null == results) {\\n results = new Vector();\\n }\\n return results;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0bb0d8298686257660d7c0e089b5621c\",\n \"score\": \"0.45166796\",\n \"text\": \"public double[] getSides();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"536221d18e2cba53ef44ad86c06d13d8\",\n \"score\": \"0.45129243\",\n \"text\": \"public static List<Direction> values() {\\r\\n return values;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fcfbe16f022d1c1bcc591262f34a49a1\",\n \"score\": \"0.4512894\",\n \"text\": \"int[] nonZeroPositions();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"283e21af9bb9e6ebd1627dfe370f9712\",\n \"score\": \"0.4512203\",\n \"text\": \"abstract public double[] vertexUncollateralizedExposure();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"506ce639cf6beeac42bf35dadb95af9b\",\n \"score\": \"0.45074216\",\n \"text\": \"Set<Prayer> toDeactivate() {\\n Type[] types = getTypes();\\n if (types.length == 0) return EMPTY;\\n Set<Prayer> deactivate = new HashSet<>();\\n for (Type type : types) {\\n deactivate.addAll(forType(type));\\n }\\n return deactivate;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e197ce14835a94718ca39f5d224438f9\",\n \"score\": \"0.45060086\",\n \"text\": \"ByteVectorIterator nonZeroIterator();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"53338c129523e2e288cb2df065db1f58\",\n \"score\": \"0.45045453\",\n \"text\": \"public abstract ImmutableSet<MorphFeature> morphFeatures();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"af783ee4c2883b2f378ed2f418fc9f05\",\n \"score\": \"0.4501321\",\n \"text\": \"private Set getForbiddenNodes() {\\r\\n Set forbidden = new HashSet(getNodes());\\r\\n Iterator it = getNodes().iterator();\\r\\n while (it.hasNext()) {\\r\\n Node n = (Node) it.next();\\r\\n Set nnbors = n.getNborsUnsynchronized(); // used to be synchronized\\r\\n forbidden.addAll(nnbors);\\r\\n }\\r\\n return forbidden;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f54cf5684f1375f4ce87481150d4df3f\",\n \"score\": \"0.44987997\",\n \"text\": \"ForbiddenIslandWorld() {\\n this.waterHeight = 0;\\n this.count = 0;\\n this.board = this.toList(\\n this.makeCell(this.mountainHeight()));\\n this.partsPicked = 0;\\n this.rand = new Random();\\n this.player = this.createPlayer();\\n this.helicopter = this.createHelicopter();\\n this.parts = this.createParts();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa268f64b3a980ce51cc31ee9027739a\",\n \"score\": \"0.4495526\",\n \"text\": \"abstract public double[] vertexUncollateralizedPositiveExposure();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"96f83c178aa1f9ad164b454f20928a15\",\n \"score\": \"0.4494772\",\n \"text\": \"@Override\\n public Collection<? extends Spatial> tangibles() {\\n List<Spatial> tangibles = new ArrayList<>();\\n for (Entity c : constituents) {\\n for (Spatial t : c.tangibles()) {\\n tangibles.add(t);\\n }\\n }\\n return tangibles;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"03b90fe7ff5447fdf7f01a59abe4a35f\",\n \"score\": \"0.4491839\",\n \"text\": \"public List allElements();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3af8ccf9f6f944f738d824e2ebe9d7f1\",\n \"score\": \"0.44892615\",\n \"text\": \"public Set<Object> getLegalValues(){\\n if (value != null){\\n Set<Object> values = new HashSet<Object>();\\n values.add(value);\\n return values;\\n }\\n return new HashSet<Object>(legalValues);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"746b5262a34b6f8b0bed8b100dffdf18\",\n \"score\": \"0.44862205\",\n \"text\": \"@Override\\n public List<Position> getLegalMoves() {\\n\\tsuper.getLegalMoves();\\n\\tfor(int i=this.position.getX()+1, j=this.position.getY()+1;i<8 && j<8;i++,j++){\\n\\t this.legalMoves.add(new Position(i,j)); // We add the moves that can be done to the rigth and down \\n\\t}\\n\\tfor(int i=this.position.getX()-1, j=this.position.getY()-1;i>=0 && j>=0;i--,j--){\\n\\t this.legalMoves.add(new Position(i,j)); // We add the moves that can be done to the left and up\\n\\t}\\n\\tfor(int i=this.position.getX()+1, j=this.position.getY()-1;i<8 && j>=0;i++,j--){\\n\\t this.legalMoves.add(new Position(i,j)); // We add the moves that can be done to the rigth and up\\n\\t}\\n\\tfor(int i=this.position.getX()-1, j=this.position.getY()+1;i>=0 && j<8;i--,j++){\\n\\t this.legalMoves.add(new Position(i,j)); // We add the moves that can be done to the left and down\\n\\t}\\t \\n\\n return this.legalMoves;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"07390fbb09b5ff332fbb27c1afc090bc\",\n \"score\": \"0.44848529\",\n \"text\": \"protected List<Territory> getAllEmptyTerritories() {\\n System.out.println(\\\"DEBUG:\\\");\\n return gameMap.getTerritories().stream().filter(t -> t.getOwner()==null).collect(Collectors.toList());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"50df86b40e303bbbc2820223ad9f1c37\",\n \"score\": \"0.44848114\",\n \"text\": \"List<Long> apply_V2(long n) {\\n long masked = n | orMask;\\n //System.out.println(\\\"result: \\\" + toBinary(masked));\\n //StringBuilder wf = new StringBuilder(toBinary(masked));\\n //for (int f : floating) {\\n // int idx = mask.length() - f;\\n // wf.replace(idx - 1, idx, \\\"X\\\");\\n //}\\n //System.out.println(\\\"floating: \\\" + wf.toString());\\n\\n List<Long> result = new ArrayList<>();\\n expand(0, masked, result);\\n\\n //System.out.println();\\n //for (long r : result) {\\n // System.out.println(\\\" \\\" + toBinary(r));\\n //}\\n //System.out.println();\\n\\n return result;\\n }\",\n \"title\": \"\"\n 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query_id stringlengths 32 32 | query stringlengths 7 129k | positive_passages listlengths 1 1 | negative_passages listlengths 88 101 |
|---|---|---|---|
e01f6442aaf9cf895f4e5db395933202 | Constructs a new HomeHandler. | [
{
"docid": "0a9e90f8db46c7de1f6f2f811e915e1c",
"score": "0.7689408",
"text": "public HomeHandler() {\n this.ps = new PublicService();\n this.us = new UserService();\n this.ss = new SessionService();\n }",
"title": ""
}
] | [
{
"docid": "29c6258848e1ce037e50087f79489ebb",
"score": "0.646932",
"text": "public static Home create() {\n Home fragment = new Home();\n Bundle args = new Bundle();\n fragment.setArguments(args);\n return fragment;\n }",
"title": ""
},
{
"docid": "5585854a1eb... |
f7d1b4518fab74e951d216f4be8c00c9 | $ANTLR start "program" /Users/kitsune/dev/ct/ct2/smallc.g:32:1: program : includes decls ( procedure ) main > ^( PROGRAM decls ( procedure ) main ) ; | [
{
"docid": "dbf7b0e8c0e1a6f8d8e86aa1e627e8c8",
"score": "0.7255162",
"text": "public final smallcParser.program_return program() throws RecognitionException {\n smallcParser.program_return retval = new smallcParser.program_return();\n retval.start = input.LT(1);\n\n int program_Star... | [
{
"docid": "7494e6568eb3a10e4c5920652a0e4095",
"score": "0.6417081",
"text": "private CvaProgram parseProgram()\n {\n CvaEntry main = parseEntry();\n List<AbstractClass> classes = parseClassDecls();\n eatToken(CvaKind.EOF);\n return new CvaProgram(main, classes);\n }",
... |
0de105876b403c1f0e0151899a6c06bd | Count the empty strings | [
{
"docid": "d1dd70eced16bb42904af553fc3f8683",
"score": "0.5961302",
"text": "public static void main(String args[]) \r\n\t{\n\t\tList<String> strList = Arrays.asList(\"abc\", \"\", \"bcd\", \"\", \"defg\", \"jk\"); \r\n\t\tlong count1 = strList.stream().filter(x -> x.isEmpty()).count(); \r\n\t\t\r\n\t\... | [
{
"docid": "96b79d28d72e4dbd2fea4e810d78c0e3",
"score": "0.66975725",
"text": "private int countNumEmptyCells() {\r\n\t\tint mumEmptyCells = 0;\r\n\t\tfor (int i = 0; i < this.buffer.length; i++) {\r\n\t\t\t\tif (this.buffer[i] == null) {\r\n\t\t\t\t\tmumEmptyCells++;\r\n\t\t\t\t}\r\n\r\n\t\t}\r\n\t\tre... |
0b357e73f96b55d4edf00df4176a55a5 | GET THE XAXIS DISTANCE TO GO | [
{
"docid": "1e95f7fde7335e2d500bd371eef60722",
"score": "0.0",
"text": "public float calculateDistanceToTarget() {\n float diffX = targetX - x;\n\n // AND THE Y-AXIS DISTANCE TO GO\n float diffY = targetY - y;\n\n // AND EMPLOY THE PYTHAGOREAN THEOREM TO CALCULATE THE DISTANC... | [
{
"docid": "85ce8952de0d6dbdda0602762b2e5746",
"score": "0.67120403",
"text": "int getXORDistance() {\n return _distance;\n }",
"title": ""
},
{
"docid": "1cc0fbb2ebfdc538d97ab5d0235ce556",
"score": "0.6575196",
"text": "public org.apache.xmlbeans.XmlDecimal xgetDistance()\... |
acb97e5d6f8818ddff7815e96f641415 | to convert String to byte array but not used | [
{
"docid": "6b3e4e14d162d628f8498ffc7a1ac3a1",
"score": "0.6357155",
"text": "public static byte[] hexStringToByteArray(String s) {\n\t\t int len = s.length();\n\t\t byte[] data = new byte[len / 2];\n\t\t for (int i = 0; i < len; i += 2) {\n\t\t data[i / 2] = (byte) ((Character.digit(s.c... | [
{
"docid": "fe815bab20fadbdb6a57d8b9a0d80f0a",
"score": "0.77471495",
"text": "private static byte[] stringToByteArray(String str) {\n ByteArrayOutputStream bytes = new ByteArrayOutputStream();\n\n if (StringUtils.isNotBlank(str)) {\n String hexString = str.toUpperCase().replace... |
0ce06730f135d406f65087d089728c48 | Creates new form Renovar_membresia | [
{
"docid": "d2ac156d562c184270c598d6a166f192",
"score": "0.69838",
"text": "public Renovar_membresia() {\n initComponents();\n }",
"title": ""
}
] | [
{
"docid": "f0dc31badfd79560b77b42332e7b90da",
"score": "0.6175232",
"text": "@Override\r\n\tpublic void creer_candidat() {\n\t\ttry {\r\n\t\t\t// TODO add your handling code here:\r\n\t\t\tConnexion c= new Connexion();\r\n\t\t\tjava.sql.PreparedStatement statement = c.conn.prepareStatement(\"INSERT INT... |
1b0db9a86fbc30535f4932272842fb48 | / renamed from: a | [
{
"docid": "c618d33c6141bf55b247e4ceffd38863",
"score": "0.0",
"text": "public final int mo8078a() {\n return this.f6826a;\n }",
"title": ""
}
] | [
{
"docid": "c79c695ff1a387d67d7909ad1aa5f659",
"score": "0.625672",
"text": "public interface C34917a {\n /* renamed from: a */\n void mo88344a();\n }",
"title": ""
},
{
"docid": "bd698bac216066724da966bcf8ed7aa8",
"score": "0.62111163",
"text": "public interface C04... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "6487923081ae998322a6ca9ba33a5683",
"score": "0.0",
"text": "@Override\n\tpublic void handler(Context context) {\n\t\tcontext.setState(new UpdateState());\n\t}",
"title": ""
}
] | [
{
"docid": "9208773f8d675a45ef2786d0cb668514",
"score": "0.654538",
"text": "@Override\n\tpublic void addiion() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "80d20df1cc75d8fa96c12c49a757fc43",
"score": "0.65323734",
"text": "@Override\n\tprotected void getExras() {\n\t\t\n\t}",
"titl... |
51b4e5f5c8dae1203b2d71079227773d | Gets the converter for the estimate value. | [
{
"docid": "2ea96218db7a018e5fe5dc957d9a8c0e",
"score": "0.7585727",
"text": "public CogxelConverter<EstimateType> getEstimateConverter()\n {\n return this.getSecondConverter();\n }",
"title": ""
}
] | [
{
"docid": "538cff68b7bcd5fb9351749eae188cf5",
"score": "0.64334404",
"text": "public Converter<String, ?> getConverter() {\r\n return converter;\r\n }",
"title": ""
},
{
"docid": "8d30e662950502eac7397a95df7d7bbe",
"score": "0.59877783",
"text": "public double getConverted... |
68c9951219f380b0cfb1dad444f61d83 | Optimizes Sequences of Strings, reducing them to TPatternStringSequence Terminals. | [
{
"docid": "ed796f59d6de4d612000711dadfcce79",
"score": "0.82227725",
"text": "private void optimizeSequenceStrings() {\n\t\tPattern prestart = null;\n\t\tPattern start;\n\t\tPattern prev = null;\n\t\tPattern replacement;\n\t\tPattern child = null;\n\t\tstart = firstchild;\n\n\t\twhile (start != null) {... | [
{
"docid": "d081a5babfcad95d25e0c880833025ce",
"score": "0.66138077",
"text": "private void optimizeORedStringSequences(int threshold) {\n\t\tPattern child = firstchild;\n\t\tint count = 0;\n\t\tint i;\n\t\twhile (child != null) {\n\t\t\tcount++;\n\t\t\tchild = child.next;\n\t\t}\n\t\tif (count < thresh... |
50fbe10382115feea9a291b71665b13e | / / / / / / / / / / / / / / / / / / / / / / / / / / / | [
{
"docid": "f977a39db2c7394831806a8f5321adc5",
"score": "0.0",
"text": "protected static Vector a(String roiopt, int nc, Vector<b> roiVector) {\n/* 326 */ int nrOfROIs = 0;\n/* */ \n/* */ \n/* 329 */ boolean[] roiInComp = null;\n/* */ \n/* 331 */ StringTokenizer stok = ne... | [
{
"docid": "835a3677095e4c9f21649ab17f1ba40b",
"score": "0.5377789",
"text": "private static void diwalioffer() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "9cbd68e444456243ecfc9be82f14281f",
"score": "0.51457226",
"text": "public double getWidth(){\r\n ... |
26a6b3c1e2bd0dab199a4598329fadc3 | Return expiration date as Date instance | [
{
"docid": "3029fade67966a88d42c53da6891c35a",
"score": "0.6348568",
"text": "public Date getExpDate() {\n return expDate;\n }",
"title": ""
}
] | [
{
"docid": "cd7cf836e2d88dbe56982155fc49b223",
"score": "0.86046237",
"text": "Date getExpirationDate();",
"title": ""
},
{
"docid": "cd7cf836e2d88dbe56982155fc49b223",
"score": "0.86046237",
"text": "Date getExpirationDate();",
"title": ""
},
{
"docid": "c456602e531043a3... |
6da3f6a3703ffeabd409e4c0565cb10c | Set the drawing angle of the decorator | [
{
"docid": "788afc0fa37a336c207ddf863e73cdca",
"score": "0.0",
"text": "public void angleNext(double theta){\r\n\t\tnextThetaVar.set(theta);\r\n\t}",
"title": ""
}
] | [
{
"docid": "02382d05598f7fc34f2f0c7215ea3736",
"score": "0.7539343",
"text": "public void setAngle(double angle);",
"title": ""
},
{
"docid": "32b0d319cd5d46f01f2aa6ab81aac43f",
"score": "0.69033486",
"text": "public void setAngle(double angle){\n mAngle = angle; // set the an... |
06d52522606502c5a311b8b58161f0e0 | Returns a new string that is a copy of the given string, excluding all of the given characters. | [
{
"docid": "328f17d06790e76943898e448d6e7c3d",
"score": "0.51714444",
"text": "public static String removeChars(final String s, final char[] chars) {\n\t\tif (chars == null)\n\t\t\treturn s;\n\t\treturn removeChars(s, boxArray(chars));\n\t}",
"title": ""
}
] | [
{
"docid": "5b827fb4444fb15d59e1377001aa14f0",
"score": "0.649109",
"text": "private String removeAllOccurrences(String str, String character) {\n String newString = \"\";\n for (int i = 0; i < str.length(); i ++) {\n if (str.charAt(i) != character.charAt(0)) {\n ... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "60d905442f602ce76c536d8cc8256fc2",
"score": "0.0",
"text": "@Override\n\tpublic ResultMessage insertCollectionOrPaymentPO(CollectionOrPaymentPO payment) throws RemoteException {\n\t\treturn null ;\n\n\t}",
"title": ""
}
] | [
{
"docid": "1acc57d42c31dee937ac33ea6f2a5b0b",
"score": "0.6836411",
"text": "@Override\r\n\tpublic void comer() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "33d41636b65afa8267c9085dae3d1a2d",
"score": "0.6679176",
"text": "private void apparence() {\r\n\r\n\t}",
"title": ""
},
... |
d4be14be7a456a0ed35c75ab00dd4b93 | use uuid to identify retry string uuid = 2; | [
{
"docid": "ee333d3b51c79118045c0a510a5a4ba8",
"score": "0.0",
"text": "public java.lang.String getUuid() {\n java.lang.Object ref = uuid_;\n if (!(ref instanceof java.lang.String)) {\n com.google.protobuf.ByteString bs =\n (com.google.protobuf.ByteString) ref;\n ... | [
{
"docid": "2e7b20db560f103258758a1edb7d0bfd",
"score": "0.6089496",
"text": "String getUUID();",
"title": ""
},
{
"docid": "8f933202e41730e1fcac29812ee0e89f",
"score": "0.5961599",
"text": "java.lang.String getUuid();",
"title": ""
},
{
"docid": "8f933202e41730e1fcac2981... |
4eb29eb3d875243440db8d30cd1a79f5 | Deprecated: Use [ShipmentRoute.Transition.delay_duration][google.cloud.optimization.v1.ShipmentRoute.Transition.delay_duration] instead. Delay occurring before the visit starts. .google.cloud.optimization.v1.ShipmentRoute.Delay delay_before_start = 10 [deprecated = true]; | [
{
"docid": "c38cba6992e3149b29a0461a8b9ae961",
"score": "0.6449397",
"text": "@java.lang.Deprecated\n public Builder setDelayBeforeStart(\n com.google.cloud.optimization.v1.ShipmentRoute.Delay.Builder builderForValue) {\n if (delayBeforeStartBuilder_ == null) {\n delayBefor... | [
{
"docid": "3585441e93cfb2abfe52698c3c541d8f",
"score": "0.84100634",
"text": "@java.lang.Deprecated\n com.google.cloud.optimization.v1.ShipmentRoute.Delay getDelayBeforeStart();",
"title": ""
},
{
"docid": "ba689875cb58f08ca724862054cdb201",
"score": "0.80520666",
"text": "@java.... |
e0f4dd4e6e5fe9eed1acc82e6e1dd668 | Creates a Splash that will appear until another frame hides it, but at least during "delay" milliseconds. | [
{
"docid": "3eda6c455a8f8ccf373bbb5b6b7ac6cf",
"score": "0.73906684",
"text": "public JTrackPlannerSplashScreen(int delay) {\r\n\t\tJPanel p = new JPanel();\r\n\t\tp.setLayout(new BorderLayout());\r\n\t\tp.add(new SplashPicture());\r\n\t\tp.setBorder(BorderFactory.createLineBorder(Color.BLACK, 5));\r\n\... | [
{
"docid": "42409ab39f6d84f097cacd33436b9b50",
"score": "0.7258112",
"text": "public void showSplash() {\n\t\tthis.setVisible(true);\n\t\ttry {\n\t\t\tThread.sleep(duration);\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\tdispose();\n\t}",
"title": ""
},
{
"docid": "dec... |
cbef1bf53fb4b18b1709ed435131e64b | Reads the user's entries or selections from the user interface component (the view) and transfers them to the internal representation (the model). Usually, you'd call this method when the user selects "OK" or "Apply" in the dialog containing this component. | [
{
"docid": "6a08849b8deb8e8efab186e676f032e5",
"score": "0.0",
"text": "void accept();",
"title": ""
}
] | [
{
"docid": "3ba18ad2325af9bd656abad1ecbd3a7f",
"score": "0.59091717",
"text": "public void updateModel()\n {\n Vector reasonCodes = beanModel.getReasonCodes();\n\n // Adjust the selection\n if ((reasonCodes != null) && (reasonCodes.size() > 0))\n {\n int intSelI... |
2fe17cca4b14ba56083e30c0f4e392f8 | Extension of UnitBox to provide some extra information needed by SPatchingChain. | [
{
"docid": "8e0a2eaaf3e3f8f5c02f0394f1a3d7d0",
"score": "0.6294025",
"text": "public interface SUnitBox extends UnitBox\n{\n /**\n * Indicates whether the contents of the UnitBox may have been\n * changed. Returns true if setUnit(Unit) has been called\n * recently and was not followed by... | [
{
"docid": "a33e7c4310be9be95003aae4200f5ff2",
"score": "0.5475507",
"text": "private ToolBox() {\t}",
"title": ""
},
{
"docid": "efbf1769ffcb9080a780adbdbb8febda",
"score": "0.5293557",
"text": "private BoxInfoS(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {\n sup... |
2d9ce95972e00c46180fad40725fe2fc | Is it Android 10.0 and above | [
{
"docid": "3746ef3d35e0938f496c89b5a25cbf56",
"score": "0.81368786",
"text": "public static boolean isAndroid10() {\n return Build.VERSION.SDK_INT >= Build.VERSION_CODES.Q;\n }",
"title": ""
}
] | [
{
"docid": "2e87a5a477d4d953258350ad00c3cdb0",
"score": "0.74031377",
"text": "public static boolean isAndroid11() {\n return Build.VERSION.SDK_INT >= Build.VERSION_CODES.R;\n }",
"title": ""
},
{
"docid": "f3537860160e1df938b947b770f740d1",
"score": "0.71111375",
"text": "... |
e837d204e80795690f14d6426b3c10ae | Creates a new instance of MainApplet | [
{
"docid": "0008005f450a1d68f447a1bba0d6e756",
"score": "0.7994734",
"text": "public MainApplet() {\n //add(new MainContainer());\n }",
"title": ""
}
] | [
{
"docid": "d7c4b7cdec06538a3b0f055b4b22a065",
"score": "0.6682947",
"text": "public static void main(String args[]){\n\t\tAppletTest first = new AppletTest();\n\t\tfirst.show();\n\t}",
"title": ""
},
{
"docid": "47e4676efe3f8eed3b887fb678ad2441",
"score": "0.65460956",
"text": "Main... |
da9ceb731d73e18a3b0b4e2b897ba1ad | Sets (the internal copy of) the request with the parameter (placeholder) map | [
{
"docid": "f096ef9a26ff4e8b4824cf05a32bc956",
"score": "0.0",
"text": "public void setRequest(HttpServletRequest request) {\n this.request = request;\n remoteUser = request != null ? request.getRemoteUser() : null;\n if (remoteUser == null) {\n remoteUser = \"unknown\";\... | [
{
"docid": "fc3b1590bd6ba62c36e02639e304afce",
"score": "0.7413653",
"text": "@Override\n\tpublic void setRequest(Map<String, Object> arg0) {\n\t\trequest=arg0;\n\t}",
"title": ""
},
{
"docid": "c57eb479736b5418188bd30cd2999451",
"score": "0.7299",
"text": "@Override\n\tpublic void s... |
965f9f19e4df7bc6f84ea60b4232d405 | ajusteX = 0.0f; ajusteY = 0.0f; ajusteZ = 0.0f; | [
{
"docid": "3498b39b672c50389cdbbd6aca8d702f",
"score": "0.0",
"text": "public boolean moveBola(float TIME_STEP, \n\t\t\tfloat X0, float Y0,\n\t\t\tfloat x, float y, float z,\n\t\t\tfloat V0x, float gravity,\n\t\t\tBola b, BeginGameControl bgc) throws InterruptedException {\n\t\tfor (float i = TIME_STEP... | [
{
"docid": "4297e68cedcc6e96e7983e52c7630ca6",
"score": "0.6404336",
"text": "void unit() {\n xo = 0;\n xx = 1;\n xy = 0;\n xz = 0;\n yo = 0;\n yx = 0;\n yy = 1;\n yz = 0;\n zo = 0;\n zx = 0;\n zy = 0;\n zz = 1;\n }",... |
558ebcb7e32070e9e7570686784ea350 | Creates a RootGrammar by the InputStream in. This method is a template method for concrete classes. | [
{
"docid": "21ec0ee7ff2f2ad102045b8bbbd0991a",
"score": "0.86882174",
"text": "public RootGrammar createRootGrammar(InputStream in) throws IOException, SAXException, ParserConfigurationException {\n RootGrammar rootGrammar_ = createRootGrammar();\n rootGrammar_.setup(UJAXP.getDocument(in, ... | [
{
"docid": "b80edf720dcb4f1a331212204845a874",
"score": "0.8060558",
"text": "public RootGrammar createRootGrammarWithContext(InputStream in) throws IOException, SAXException, ParserConfigurationException {\n RootGrammar rootGrammar_ = createRootGrammar(in);\n rootGrammar_.setRContext(crea... |
9539d272dbbc0c6dc606ec73e35a4d08 | Migrate root and meta to newer version. This updates the META and ROOT and removes the HTD from HRI. | [
{
"docid": "8e7f0fea510ca259273a961c9407abca",
"score": "0.64815456",
"text": "public static void migrateRootAndMeta(final MasterServices masterServices)\n throws IOException {\n updateRootWithNewRegionInfo(masterServices);\n updateMetaWithNewRegionInfo(masterServices);\n }",
"title": ""... | [
{
"docid": "5516b453acd32950d9dd72db598b2cd9",
"score": "0.67628014",
"text": "public static void updateRootWithMetaMigrationStatus(final CatalogTracker catalogTracker)\n throws IOException {\n Put p = new Put(HRegionInfo.FIRST_META_REGIONINFO.getRegionName());\n MetaEditor.putToRootTable(catalog... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "4cb67d4bdd15a5b2219d620c687af953",
"score": "0.0",
"text": "@Override\n\tpublic List<Subject> findall() {\n\t\treturn (List<Subject>) getHibernateTemplate().find(\"from Subject\");\n\t}",
"title": ""
}
] | [
{
"docid": "d7194e467f51e022c107531d8614b6a3",
"score": "0.6905833",
"text": "@Override\r\n\tpublic void anular() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "941cb2826e3c700358fcaba402e6bb01",
"score": "0.66775143",
"text": "@Override\r\n\tpublic void hissetmek() {\n\r\n\t}",
"ti... |
561bee9ebb5e604904c7829fcf25dd81 | Name of module that defines this trigger. | [
{
"docid": "1f0e4774117234d2b65f146ffb16cbe8",
"score": "0.6416865",
"text": "default String getModuleName() { return null; }",
"title": ""
}
] | [
{
"docid": "cd4e3a0826029dce8b4d94b24f6be46d",
"score": "0.7424704",
"text": "@Override\n\tpublic String getModuleName() {\n\t\treturn getClass().getSimpleName();\n\t}",
"title": ""
},
{
"docid": "e1ef9e35c2cc772fd105fac3f7c3c8d4",
"score": "0.7422009",
"text": "@Override\n public... |
7b2410b15ccc0bf928ed1220987cb68c | Borra un bit de un entero y devuelve este nuevo entero | [
{
"docid": "28c69a3b14e1dd2e53034940eefffd12",
"score": "0.0",
"text": "public static int _clearBit(final int originalInt,final int bitIndex) {\n return originalInt & ~_getMask(bitIndex);\n }",
"title": ""
}
] | [
{
"docid": "bf35bd6622d64ceb89f8501c8c5cd65a",
"score": "0.58793074",
"text": "void comprime()\n\t{\n\t\tint tama=(2*tam)+1;\n\t\tbyte[] aux=new byte[tama];\n\t\taux[0]=(byte)tam;\n\t\t//apuntador de x\n\t\tint j=0;\n\t\t//LLENA LOS 2N+1 BYTES\n\t\tfor(int i=1;i<tama;i++)\n\t\t{\n\t\t\t//descarta los es... |
062163ca07fd2ae3ad989eb767112912 | test deploy with a valid user with write access | [
{
"docid": "d9cfec3268d9701e865262869968e279",
"score": "0.56800854",
"text": "@Test\n public void testPutWithValidUserWithWriteAccess()\n throws Exception\n {\n assertTrue( Files.exists(repoRootInternal.getRoot()) );\n\n MockHttpServletRequest mockHttpServletRequest = new Moc... | [
{
"docid": "8780abe56350073438e4e6bfc86cf47e",
"score": "0.653974",
"text": "@Test\n\t\tpublic void testGetDeploymentWithAdminUser() throws Exception {\n\t\t\twhen(this.adminProxy.getUser(any(Long.class))).thenReturn(adminUser);\n\t\t\twhen(asmManagerUtil.getCurrentUser(any(HttpServletRequest.class))).t... |
304aa7ed6e974c5abc348a6daa1564be | Deactivates the user provided that user is active. Otherwise does nothing. | [
{
"docid": "5a7bfaf11a248399279b467fe28546a0",
"score": "0.66729814",
"text": "public void deactivate() {\n if (active) {\n active = false;\n }\n }",
"title": ""
}
] | [
{
"docid": "83cc18c31345cc9a9e1262882630beb8",
"score": "0.71555936",
"text": "public synchronized void deactivateUser(String username) {\n users.remove(username);\n }",
"title": ""
},
{
"docid": "187540bd0614d528a52f1e30bde7cbff",
"score": "0.6911632",
"text": "public void... |
87f73b6fd9b006cf9f2148272c6e999d | Convert the given object to string with each line indented by 4 spaces (except the first line). | [
{
"docid": "8279fe35d1f3c688ad6983974b78755b",
"score": "0.0",
"text": "private String toIndentedString(java.lang.Object o) {\n if (o == null) {\n return \"null\";\n }\n return o.toString().replace(\"\\n\", \"\\n \");\n }",
"title": ""
}
] | [
{
"docid": "9e6d1b5dcd4619e079c1bbb422051363",
"score": "0.7617841",
"text": "private String toIndentedString(Object o) {\nif (o == null) {\nreturn \"null\";\n}\nreturn o.toString().replace(\"\\n\", \"\\n \");\n}",
"title": ""
},
{
"docid": "060c307f35bb4b6b5f41e4ead15defd6",
"score":... |
1c37a65a1e881a5eb69a8148db22b983 | Creating messages queue for the new service that registers, and adds him to the ServicesMap. | [
{
"docid": "eb632d04caafd209b38646ba1e1760c1",
"score": "0.7202518",
"text": "@Override\n\tpublic void register(MicroService m) {\n\t\tBlockingQueue<Message> MessagesQueue = new LinkedBlockingQueue<>();\n\t\tif (!ServicesMap.containsKey(m))\n\t\tServicesMap.put(m, MessagesQueue);\n\n\t\tConcurrentLinked... | [
{
"docid": "1818eb5ca3d6570e0ffad20eb68ef3d2",
"score": "0.61523557",
"text": "private void subscribeMessage(Class<? extends Message> type, MicroService m){\n \tif(microServicesMap.get(m) == null) // check if 'm' was register\n \t\tthrow new IllegalArgumentException(\"Micro Service 'm' is not regi... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "4bf0b75df47a5c5ac4c756fdea22300f",
"score": "0.0",
"text": "@Override\n\tpublic Clients updateClients(Clients clients) {\n\t\treturn this.clientrepository.save(clients);\n\t}",
"title": ""
}
] | [
{
"docid": "63a51b9825ac81396e1d7ad0b9f3ed82",
"score": "0.6866318",
"text": "@Override\n\tpublic void 군무() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "15ae679aae74424c73fde647cf4332f6",
"score": "0.68461496",
"text": "@Override\r\n\t\t\tpublic void hissetmek() {\n\r\n\t\t\t}",
"ti... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "9149903a356e436517f3ac5eaf5fd8e0",
"score": "0.0",
"text": "public void addPublisher(Publisher publisher) {\n\t\tConnection conn = null;\n\t\tPreparedStatement preparedStmt = null;\n\t\ttry {\n\t\t\tconn = db.getConnection();\n\t\t\tString query = \" insert into tbl_publisher (publisherId, p... | [
{
"docid": "1acc57d42c31dee937ac33ea6f2a5b0b",
"score": "0.6840622",
"text": "@Override\r\n\tpublic void comer() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "0c69424878be03e50f19e2ca61ef640b",
"score": "0.68009615",
"text": "@Override\r\n\tpublic void leggi() {\n\t\t\r\n\t}",
"tit... |
e56e7ac2f265f96887fbb3d5b3909c7f | Sends a failure/warning message. Also used for emphasis. | [
{
"docid": "f83ac7f4fbb20ce4f0bc790b237ad706",
"score": "0.0",
"text": "private static void warn(CommandSender commandSender, String message) {\n commandSender.sendMessage(ChatColor.DARK_RED + \"[SmartMobs]\" + ChatColor.RED + \" \" + message +\n ChatColor.WHITE);... | [
{
"docid": "bdcd57a75c63edb7e22dc9b8fb2a695c",
"score": "0.6813573",
"text": "public void printFailureMessage(){\n String message = \"Comand has to be in form of 'tournament -M listofmapfiles -P listofplayerstrategies -G numberofgames -D maxnumberofturns'\";\n this.game.getLogger().info(\"... |
e3222643afdcb7cf54739078073e1727 | This method was generated by Apache iBATIS ibator. This method returns the value of the database column SYS_LOG.HOST | [
{
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"score": "0.63562065",
"text": "public String getHost() {\r\n return host;\r\n }",
"title": ""
}
] | [
{
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"score": "0.7200935",
"text": "public String getDBHostName_tra() {\n //return (String) getAttributeInternal(DBHOSTNAME_TRA);\n Scheduler scheduler = this.getStdSchedulerInVORImpl();\n \n\n try {\n JobDetail jobDetail =... |
f7e1287af55756a9abf1be08390d0de9 | This method was generated by MyBatis Generator. This method corresponds to the database table user_share | [
{
"docid": "75570584ebb5f67d24f08b069e85d78c",
"score": "0.0",
"text": "public Criteria or() {\n Criteria criteria = createCriteriaInternal();\n oredCriteria.add(criteria);\n return criteria;\n }",
"title": ""
}
] | [
{
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"text": "@Override\n\tString tableName() {\n\t\treturn \"share\";\n\t}",
"title": ""
},
{
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"text": "@Override\n\tString primaryKey() {\n\t\treturn \... |
2d5e9dd0c14716f30acb31710676876f | UC3 Sort and check for 1st element | [
{
"docid": "13963d4017ac07d082e57bde10555808",
"score": "0.0",
"text": "@Test\n\tpublic void GivenStateCensusData_WhenSortedOnState_ShouldReturnSortedResultWith1stElement() throws IOException, CSVBuilderException {\n\t\ttry {\n\t\t\tStateCensusAnalyser stateCensusAnalyser = new StateCensusAnalyser();\n\... | [
{
"docid": "9239666d5e305e355e33970d0ef66db4",
"score": "0.56881905",
"text": "private static boolean verifySort(Integer[] a) {\n\t\tInteger previous = null;\n\t\tfor (int current : a) {\n\t\t\tif (previous != null && current < previous) return false;\n\t\t\tprevious = current;\n\t\t}\n\t\treturn true;... |
c7c077820f2a0690d6628bb93a359865 | required string msg = 1; | [
{
"docid": "4d231db65acd14bd624a1ecbec550ee8",
"score": "0.6832619",
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"title": ""
}
] | [
{
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"score": "0.7521136",
"text": "public void setMsg(String msg){this.msg = msg;}",
"title": ""
},
{
"docid": "253f120e1a50202de9249214d15af581",
"score": "0.7208455",
"text": "public void setMsg(String msg) { this.msg = msg; }",
"title... |
1a669d3b7671996e7e1807f09d13fb74 | Creates a global marketplace for the given owner. | [
{
"docid": "a4af9c9102b423be2c29753ece5ffdce",
"score": "0.7568923",
"text": "public static Marketplace createGlobalMarketplace(Organization owner,\n String marketplaceId, DataService ds)\n throws NonUniqueBusinessKeyException {\n return createGlobalMarketplace(owner, market... | [
{
"docid": "306a8f6672cf66a7df1975feae839f6e",
"score": "0.66305166",
"text": "public static Marketplace createMarketplace(Organization owner,\n String marketplaceId, boolean isOpen, DataService ds)\n throws NonUniqueBusinessKeyException {\n\n return createMarketplace(owner,... |
eb481dc346f563f22378cf99cfbc8a4c | Gets the initial anger level of the zombie | [
{
"docid": "35f274fd2ebba645600ec229880bcaa3",
"score": "0.63484323",
"text": "protected float getInitialAnger() {\n return MIN_ANGER;\n }",
"title": ""
}
] | [
{
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"score": "0.6842449",
"text": "public int getDefaultLevel() {\r\n\t\treturn defaultLevel;\r\n\t}",
"title": ""
},
{
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"score": "0.6840689",
"text": "int getLevel();",
"title": ""
},
{
... |
8c280f3fe69a773ca490a96de5ffb030 | can be injected or created with 'new ContactHandlerFactory(decStore)' | [
{
"docid": "b33259fa54e96475438bea6f616220ef",
"score": "0.77086043",
"text": "@Inject\n\tpublic ContactHandlerFactory(DescriptorStore descriptorStore) {\n\t\tthis.descriptorStore = descriptorStore;\n\t}",
"title": ""
}
] | [
{
"docid": "19a74310065ede85cc81b201bd2c73f4",
"score": "0.6027538",
"text": "ContactDetail createContactDetail();",
"title": ""
},
{
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"score": "0.5872856",
"text": "ContactData createContactData();",
"title": ""
},
{
"docid": "... |
2ac6ccb02db1039fc12813419a7b99eb | Creates new form ActivityListDialog | [
{
"docid": "9089a1bf16d6a06158625a3ab77c96eb",
"score": "0.63494",
"text": "private ActivityListDialog(Frame parent, boolean modal) {\n\t\tsuper(parent, modal);\n\t\tinitComponents();\n\t\tthis.getRootPane().setDefaultButton(btnClose);\n\t}",
"title": ""
}
] | [
{
"docid": "c5e1c36a841daaefa4158ecf7149fc18",
"score": "0.7183615",
"text": "public void showNewListDialog() {\n new MaterialDialog.Builder(this.context)\n .title(\"Create new list\")\n .customView(R.layout.create_custom_list, true)\n .positiveText(\"... |
184cbda8d8cae05136352dd574f9080e | Hides all menu buttons other than close split view, save, undo and redo. | [
{
"docid": "6228ba6d7931d06fa7ec6798df882969",
"score": "0.75346935",
"text": "private void showSplitViewButtons() {\n // Remove unsued submenus\n menu.clearSubMenu(SUBMENU_GENERATE);\n menu.clearSubMenu(SUBMENU_WEAVE);\n menu.clearSubMenu(SUBMENU_GOTO);\n // Remove un... | [
{
"docid": "28a23d16b337ea33ff96ce1f6db4f836",
"score": "0.6871484",
"text": "private void hideTools() {\n\t\tvboxTools.setVisible(false);\r\n\r\n\t}",
"title": ""
},
{
"docid": "56f356942e198041e22150f3002d90d4",
"score": "0.67720705",
"text": "public void hideButtons() {\n V... |
d5af4118c2e02900481b35549b8adbbc | List of the languages to recognize text. Specified in [ISO 6391]( format (for example, `` ru ``). repeated string language_codes = 3; | [
{
"docid": "c66be1ef5faf24a9259d55865fd31612",
"score": "0.0",
"text": "public Builder clearLanguageCodes() {\n languageCodes_ = com.google.protobuf.LazyStringArrayList.EMPTY;\n bitField0_ = (bitField0_ & ~0x00000001);\n onChanged();\n return this;\n }",
"title": ""
... | [
{
"docid": "eebb1770812cbe640da1ac3fd80c31ec",
"score": "0.7213792",
"text": "public List<String> getDetectedLanguages(String text) {\n\t\tList<String> result = new ArrayList<String>();\n\t\tTextObject textObject = textFactory.forText( text );\n\t\tList<DetectedLanguage> probLangs =\n\t\t\t\tlangDetecto... |
6970f7654854773ba848ec324a11b20e | Removing listener here is very important because shared element transition is executed again backwards on exit. If we don't remove the listener this code will be triggered again. | [
{
"docid": "bfe1b64d2bafddb817f890289658a5dd",
"score": "0.5938796",
"text": "@Override\n public void onTransitionEnd(Transition transition) {\n transition.removeListener(this);\n hideTarget();\n animateRevealShow(toolbar);\n animate... | [
{
"docid": "19bf7d91dacc94aea9ef42b8f82c2c98",
"score": "0.6793334",
"text": "public abstract void removeEventListener();",
"title": ""
},
{
"docid": "1358b4f55faee75399cc164715854289",
"score": "0.6781301",
"text": "@Override\r\n\t\t\t\t\t\t\tpublic void removeListener(InvalidationL... |
692f9d93d7c629364d1b50b4eb7ffd93 | Returns the current fileselection mode. The default is SELECTION_MODE.FILES_ONLY. | [
{
"docid": "28dcc39bc2be4c9c10836336fdd31db8",
"score": "0.8595062",
"text": "public SELECTION_MODE getFileSelectionMode()\n {\n return fileSelectionMode;\n }",
"title": ""
}
] | [
{
"docid": "9090135d36b6284d94785cfd48f0c8f2",
"score": "0.70404315",
"text": "public int getSelectionMode() {\n return getSelectionModel().getSelectionMode();\n }",
"title": ""
},
{
"docid": "f6c49a223a2db14e992aee449b185ae7",
"score": "0.6767716",
"text": "public boolean ... |
3b5c152b46982871a810c04e3075f78e | Calculates the hash of a password and salt using SHA256. | [
{
"docid": "99b3c7180cec8c316996dc8b3dd42fac",
"score": "0.704056",
"text": "public static String getHash(String password, String salt) {\n String salted = salt + password;\n String hashed = salted;\n\n try {\n MessageDigest md = MessageDigest.getInstance(\"SHA-256\");\n ... | [
{
"docid": "30003e92d816418d65d215afdea8a1c4",
"score": "0.7296404",
"text": "@Override\r\n public String calculateHash(String password) {\r\n String combined = password + passwordSalt;\r\n hasher.update(combined.getBytes(), 0, combined.length());\r\n return new BigInteger(1,hash... |
f15bade5a521194ea5699a88559fa320 | / 1. Create a new empty collection To start, let's create a function to create a collection and save it on Apigee. To do this, we create a new entity. If the collection already exists, the entity will be added to it. If the collection doesn't exist, it will be created automatically. | [
{
"docid": "731b9e91d073f4a66017cbbc0c6cb861",
"score": "0.77445793",
"text": "protected void createCollection(){\t\t\t\n \n\t\t/* First, we specify the following properties for our new entity in a hash map:\n\n\t - The type property associates your entity with a collection. When the entit... | [
{
"docid": "21aaa0dca34ec4db5bcfdaa446109d83",
"score": "0.72867745",
"text": "public com.kisti.osp.icecap.model.DataCollection create(long collectionId);",
"title": ""
},
{
"docid": "4f8161ce55a355f4db52236953064acc",
"score": "0.7190432",
"text": "private void createCollection() {\... |
5150e9154517717d5c67cc2ce59db861 | Starts ping timer task. | [
{
"docid": "cbf1874d2444314e760eff26dd2d5d6c",
"score": "0.84679073",
"text": "protected void startPingTask()\n {\n synchronized (timeouts)\n {\n if (pingInterval > 0)\n {\n ProviderManager.addIQProvider(\n \"ping\", \"urn:xmpp:pin... | [
{
"docid": "6c3302d1a798f5445a84baa4c82376d9",
"score": "0.67622197",
"text": "public void start() {\r\n\t\tlong start = (long) (1000 * intervalsBetween);\r\n\t\ttimer.scheduleAtFixedRate(timerTask, 0, start);\r\n\t}",
"title": ""
},
{
"docid": "a2ecef5430b960f92c0e60c862a11411",
"score"... |
1fe62c415ec9279e29feb728865272cd | / 2.16.840.1.113883.3.72.5.2 NIST owns this 2.16.840.1.113883.4.6 National Provider Identifier 2.16.840.1.113883.6.21 UB92 2.16.840.1.113883.6.69 NDC | [
{
"docid": "e28ed2863525abebbe558490276d7515",
"score": "0.5766813",
"text": "public static String getUriForOid(String r) {\n\t if (r == null) {\n\t return null;\n\t }\n\t\tif (r.equals(\"2.16.840.1.113883.6.96\"))\n\t\t\treturn \"http://snomed.info/sct\";\n\t\tif (r.equals(\"2.16.840.1.113883.6.1\... | [
{
"docid": "ff861b50a2b931272cdb62bd2467f21a",
"score": "0.61309034",
"text": "String getIdentificationASCA();",
"title": ""
},
{
"docid": "a1577f3786534b4e316dc46509aa6429",
"score": "0.60415024",
"text": "String getCsid();",
"title": ""
},
{
"docid": "05b7ec7db99e51ce84... |
4d51341412bc71e3c46317868259529e | Builds the admin window | [
{
"docid": "7a78361cd60e774bab37bd675e085619",
"score": "0.0",
"text": "private void buildLogInStage(){\n \n //Set up grid\n GridPane grid = new GridPane();\n grid.setAlignment(Pos.CENTER);\n grid.setHgap(10); \n grid.setVgap(10);\n grid.setPadding(new In... | [
{
"docid": "aafa9467a5a93afcc1b27728ff11d424",
"score": "0.7146474",
"text": "public AdminFrame() {\n\t\t\tsetTitle(messages.getString(\"admin_title\"));\n\t\t\tJPanel panel = new JPanel();\n\t\t\tpanel.setLayout(new GridBagLayout());\n\t\t\tGridBagConstraints gbc = new GridBagConstraints();\n\n\t\t\tAd... |
77d24de84ce1f1b8ef3d925096cbb805 | The dot product of two vectors of arbitary size , given as list of points | [
{
"docid": "744ee6eec04814d9e9757a33e354fa10",
"score": "0.68373436",
"text": "static public double dot(List<Double> lista, List<Double> listb) {\n double curr = 0;\n for (int i = 0; i < lista.size(); i++) {\n curr += lista.get(i) * listb.get(i);\n }\n return curr;... | [
{
"docid": "dc8ea9a07222a08d55acc3bb2a677df0",
"score": "0.77322537",
"text": "double dotProduct(Vector other);",
"title": ""
},
{
"docid": "5751591a6c06beacc7efca5ffcb13959",
"score": "0.73925",
"text": "private double dotProduct1(MyPoint vector1,MyPoint vector2[],int i){\n r... |
1571e207d128b571212946a94ecbc604 | method > can not override i = 5; | [
{
"docid": "fbe5863712198475bebc2f33af914278",
"score": "0.0",
"text": "public void show() {\n System.out.println(i);\n }",
"title": ""
}
] | [
{
"docid": "355508598140238c4110806f7a9e352a",
"score": "0.67505324",
"text": "@OverriddenMethodAnnotation\n public void method4(Integer s) {\n }",
"title": ""
},
{
"docid": "572dd2dd43edbe78f0221d673853e644",
"score": "0.65905833",
"text": "public abstract void mo1873a(int i);... |
908382c9281542e5c87806f0628def2c | /private int plateID; private String plateName; private String plateDescription; private String plateRecipee; private boolean platePublic; | [
{
"docid": "99ee98b7b57ad16062d94a235fd40184",
"score": "0.62460047",
"text": "public static int create(Plate plate){\r\n try (PreparedStatement stmnt = connection.prepareStatement(CREATE_SQL)) {\r\n stmnt.setInt(1, plate.getPlateID());\r\n stmnt.setString(2, plate.getPlateName(... | [
{
"docid": "2eb7d02dadfa752c26f164542f951476",
"score": "0.65512824",
"text": "public String getPlateNumber(){\n\t\treturn plateNumber;\n\t}",
"title": ""
},
{
"docid": "5f436933647ba9f4269a9f803a0844d6",
"score": "0.57609427",
"text": "@Override\r\n\tpublic List<bbs_plate> getPlateL... |
4a06b2c57198bd701291ed19c42940d3 | Gets the scorer's name | [
{
"docid": "ef5690f1758b653f7f328de3da6e5b69",
"score": "0.0",
"text": "public String getName()\r\n\t{\r\n\t\treturn name;\r\n\t}",
"title": ""
}
] | [
{
"docid": "ec63be1e66fbc08934cca175dab380b1",
"score": "0.64711577",
"text": "public String getScoreUserName() {\n return scoreUserName;\n }",
"title": ""
},
{
"docid": "f4b34bf1381020e50e0926f715d3d3e9",
"score": "0.6468953",
"text": "@Override\r\n public String toString... |
990ae09e82f261c874dc31b2d569c1af | This method receives an array of URLs as strings and returns an object of type Bitmap. This method calls getInputStream() method which makes HTTP connection to the given URL and returns the input stream | [
{
"docid": "9fa1c590111abf7a16379ebab62cd69b",
"score": "0.62320614",
"text": "@Override\n protected Bitmap doInBackground(String...urls) {\n Bitmap bitmap=null;\n try {\n //Here we create an InputStream object\n InputStream inputStream = getInp... | [
{
"docid": "af89a317324ff577c6275e8e503a07d2",
"score": "0.7586387",
"text": "protected Bitmap doInBackground(URL...urls){\n URL url = urls[0];\n HttpURLConnection connection = null;\n\n try{\n connection = (HttpURLConnection) url.openConnection();\n ... |
5e185150f8b61ce5105970ef4a853eb6 | This method is called from within the constructor to initialize the form. WARNING: Do NOT modify this code. The content of this method is always regenerated by the Form Editor. | [
{
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"score": "0.0",
"text": "@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents() {\n\n jd_administrador = new javax.swing.JDialog();\n ... | [
{
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"score": "0.73911583",
"text": "@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents() {\n }",
"title": ""
},
{
"docid": "b431c293... |
68da2ff347bf0046f9260e92afdf4607 | Opens a BufferedReader to read from a batch. | [
{
"docid": "5b066e7e6297da0e117bd1c00c4a59eb",
"score": "0.69248885",
"text": "private static BufferedReader openBatchFileForReading(String fileName) throws IOException{\r\n\t\tInputStream os = new FileInputStream(fileName);\r\n\t\tif(GZIP_BATCHES){\r\n\t\t\tos = new GZIPInputStream(os);\r\n\t\t}\r\n\t\... | [
{
"docid": "07feff4a63f863c696bf21d3ea5fd8a2",
"score": "0.5662528",
"text": "public static BufferedReader getBufferedReader(String filename) throws Exception {\r\n\t\treturn new BufferedReader(new InputStreamReader(\r\n\t\t\t\tnew FileInputStream(filename), \"UTF-8\"));\r\n\t}",
"title": ""
},
... |
67ca5ad7418af237b8646a22e64dcfbd | Sets the value of the employeeID property. | [
{
"docid": "582aff7ef835c28c1ecb87271bd22b33",
"score": "0.844346",
"text": "public void setEmployeeID(int value) {\n this.employeeID = value;\n }",
"title": ""
}
] | [
{
"docid": "d0afbc4435ea151bc72bd599fb40d3c5",
"score": "0.83735305",
"text": "public void setEmployeeID(int employeeID) {\r\n this.employeeID = employeeID;\r\n }",
"title": ""
},
{
"docid": "1ecf54735831e48e830c2ae8a61de146",
"score": "0.8185129",
"text": "public void setE... |
6241cea080c2a39015adfd3d236fe51c | Returns the hash value for String S | [
{
"docid": "621f4c67eb7ed8c648220943e163a0b6",
"score": "0.82987326",
"text": "static int GetHashValue(String S) {\n\t\tint length = S.length();\n\t\tint hash_value;\n\t\tint total_hash = 0;\n\t\tint char_number;\n\t\tint mult_three = 29791;\n\t\tint mult_two = 961;\n\t\tint mult_one = 31;\n\t\tint mult... | [
{
"docid": "c6dfff8d10f0c7c7de0df9fef366aa35",
"score": "0.7968269",
"text": "int hash(String s) {\n return sfold(s, size);\n }",
"title": ""
},
{
"docid": "320cef56855542a6a7b7cddea2d2ff4d",
"score": "0.7889437",
"text": "public int hash(String s)\n\t{\n\t\tchar character ... |
0344eb076a70746f165565447bf80a49 | Waits until the bank items are fully loaded | [
{
"docid": "0d8a164e41a0954ff4dc4f8860c90b6a",
"score": "0.79367197",
"text": "public static boolean waitUntilBankItemsLoaded() {\r\n return Timing.waitCondition(bankCondition, General.random(3000, 4000));\r\n }",
"title": ""
}
] | [
{
"docid": "c8a178d2ea58d7d053bb5608635a437e",
"score": "0.6419946",
"text": "protected void waitForLoadToComplete() {\n return;\n }",
"title": ""
},
{
"docid": "78309845e0dd0b81cebd03ecb2454625",
"score": "0.6146308",
"text": "public void finishedLoadingItems() {\n\t\tdisplayLoa... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "e453da5016d91a316cdb2ca5ad63049b",
"score": "0.0",
"text": "@Override\n\tpublic Rectangle getBounds() {\n\t\treturn null;\n\t}",
"title": ""
}
] | [
{
"docid": "05a606445504484958a1c21e14b7198e",
"score": "0.6948742",
"text": "@Override\r\n\tpublic void sapace() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "8619203d4867f5c6d05eb9a5354405c0",
"score": "0.6920628",
"text": "@Override\n\t\tpublic void pintate() {\n\t\t\t\n\t\t}",
... |
cbb04dcfa4c29c3ce769ff826ebe71a0 | / Resolve the CTF team name of the local agent, if the current server is running the CTF mod. | [
{
"docid": "cc6869e114d2c457f5e2673e84e0b4d6",
"score": "0.5900803",
"text": "public String getCTFTeamString()\n\t{\n\t\tint ctfTeamIndex = getCTFTeamNumber();\n\t\t\n\t\tif(ctfTeamIndex >= 0)\n\t\t\treturn Server.CTF_STRINGS[ctfTeamIndex];\n\t\telse\n\t\t\treturn null;\n\t}",
"title": ""
}
] | [
{
"docid": "e817283803ff71808cdc398f7c564811",
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"text": "java.lang.String getTeamNameDire();",
"title": ""
},
{
"docid": "e817283803ff71808cdc398f7c564811",
"score": "0.61539406",
"text": "java.lang.String getTeamNameDire();",
"title": ""
},
{
"docid... |
814b0701e8055b4fee6e4e3e326449b5 | Specifies the content of the response body. If this setting is omitted, no body is included in the generated response. .. note:: Headers can be specified using response_headers_to_add in the enclosing :ref:`envoy_api_msg_config.route.v3.Route`, :ref:`envoy_api_msg_config.route.v3.RouteConfiguration` or :ref:`envoy_api_... | [
{
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"score": "0.6386672",
"text": "@java.lang.Override\n public io.envoyproxy.envoy.config.core.v3.DataSourceOrBuilder getBodyOrBuilder() {\n return getBody();\n }",
"title": ""
}
] | [
{
"docid": "e918f34d6a8f89487f8e85a95c592d54",
"score": "0.6923312",
"text": "public Builder setBody(io.envoyproxy.envoy.config.core.v3.DataSource value) {\n if (bodyBuilder_ == null) {\n if (value == null) {\n throw new NullPointerException();\n }\n body_ = value;\n ... |
ac28f3da72336d86bc73b8d38f9d01ba | static method to create the object Precondition: If this object is an element, the current or next start element starts this object and any intervening reader events are ignorable If this object is not an element, it is a complex type and the reader is at the event just after the outer start element Postcondition: If t... | [
{
"docid": "575d6fa75142d5f8e573fa4d3e077e60",
"score": "0.0",
"text": "public static QueryBudget parse(javax.xml.stream.XMLStreamReader reader) throws java.lang.Exception {\r\n QueryBudget object =\r\n new QueryBudget();\r\n\r\n int event;\r\n ... | [
{
"docid": "012e7876b2f92d2d5eca61149bd77033",
"score": "0.5668106",
"text": "ReadElement createReadElement();",
"title": ""
},
{
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"score": "0.5536319",
"text": "public static OrganizationDetailE parse(javax.xml.stream.XMLStreamReader reade... |
8bff538a326e9f3ce6625b68a5664e67 | Initialize the contents of the frame. | [
{
"docid": "98405a50433d609be614cef277da23e9",
"score": "0.0",
"text": "private void initialize() {\r\n\t\tframe = new JFrame();\r\n\t\tframe.setBounds(200, 200, 350, 300);\r\n\t\tframe.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);\r\n\t\tframe.getContentPane().setLayout(null);\r\n\t\t\r\n\t\tJLabel G... | [
{
"docid": "96a3cffa9c092af02208a70c22a9c897",
"score": "0.7397995",
"text": "private void initialize() {\r\n\t\tthis.setSize(586, 538);\r\n\t\tthis.setContentPane(getJContentPane());\r\n\t\tthis.setTitle(\"Trace Analyzer\");\r\n\t}",
"title": ""
},
{
"docid": "1a3525046a56e600d79b05adc8a38c... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "15dd43ed138676fa77a9ba1749f9cf3d",
"score": "0.0",
"text": "@Override\n\t\t\tpublic void onError(int arg0, String arg1) {\n\t\t\t\tToast.makeText(getActivity(), \"获取动态失败\" + arg1,\n\t\t\t\t\t\tToast.LENGTH_LONG).show();\n\t\t\t}",
"title": ""
}
] | [
{
"docid": "d7194e467f51e022c107531d8614b6a3",
"score": "0.6905833",
"text": "@Override\r\n\tpublic void anular() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "941cb2826e3c700358fcaba402e6bb01",
"score": "0.66775143",
"text": "@Override\r\n\tpublic void hissetmek() {\n\r\n\t}",
"ti... |
42deaeb17b76a64d85400bd1b000ca8f | private String LOGON_SITE = "211.138.251.180"; private int LOGON_PORT = 8080; | [
{
"docid": "001ec5b257c23f11fc5eb21827c8e3d8",
"score": "0.0",
"text": "public void post(){\n\t\tHttpClient client = new HttpClient();\n\n\t\tPostMethod post = new PostMethod(\"http://211.138.245.85:8000/sso/POST\");\n//\t\tPostMethod post = new PostMethod(\"/eshopclient/product/show.do?id=111655\");\n/... | [
{
"docid": "de6b82ab59c02f8301dbbc11b45c03f2",
"score": "0.62627846",
"text": "public ServerConnection()\n {\n //Initializing of the variables used in the constructor\n this.hostAddress = \"http://localhost\";\n this.port = 8882;\n }",
"title": ""
},
{
"docid": "5b... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "765351a0f46fe3690ad3326dd0dc8ee0",
"score": "0.0",
"text": "@Override\n\tpublic double getIndexClassification(Dataset dataset) \n\t{\n\t\treturn 0;\n\t}",
"title": ""
}
] | [
{
"docid": "e5fa0eebc721dea67da872fd14413bc7",
"score": "0.69744676",
"text": "@Override\n\tpublic void formule() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "8b7f87c22e268a87686c66398c2c442b",
"score": "0.6936331",
"text": "@Override\r\n\t\t\tpublic void atras() {\n\t\t\t\t\r\n\t\t\t}"... |
2c868be489bcaeff9df49cf7dd4a1342 | Get the encoded image data | [
{
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"score": "0.0",
"text": "public byte[] getData() {\n\t\treturn data;\n\t}",
"title": ""
}
] | [
{
"docid": "c4fc17c3e8d6bf763fb4070a0bccfb61",
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"title": ""
},
{
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"score": "0.68995345",
"text": "public com.google.protobuf.BytesValue getData() {\n if (imageCase_ == 2) {\n ret... |
033d91efa03747288c0ab36ef9a7713a | This method is called from within the constructor to initialize the form. WARNING: Do NOT modify this code. The content of this method is always regenerated by the Form Editor. //GENBEGIN:initComponents | [
{
"docid": "559f7f858aaeca8a4f18d11267270b2c",
"score": "0.0",
"text": "private void initComponents() {\n\n boxingHighlightBackgroundLabel = new javax.swing.JLabel();\n unboxingHighlightBackgroundLabel = new javax.swing.JLabel();\n varargsHighlightBackgroundLabel = new javax.swing.J... | [
{
"docid": "17113ab7a06544a62482637e283ac13d",
"score": "0.77090156",
"text": "@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents() {\n }",
"title": ""
},
{
"docid": "b2448da2... |
f23cb28c0f506687763bdb188ca1982c | get the column_type int sqlite3_column_type(sqlite3_stmt, int iCol); | [
{
"docid": "02e08fee6b9b318ee51f440a3340cd62",
"score": "0.94959736",
"text": "public int sqlite3_column_type(Pointer pstmt, int iCol);",
"title": ""
}
] | [
{
"docid": "6aef3652a5fe6f9d32b3ee8da55694b2",
"score": "0.84545755",
"text": "public int getColumnType(int i) {\n\t\treturn api.sqlite3_column_type(stmtHandle.getPointer(),i);\n\t}",
"title": ""
},
{
"docid": "2c4beb61cf9630bc6b07b67ad2246adc",
"score": "0.7626651",
"text": "public ... |
eb19b911cd8199cd635d8bd28c789133 | Verify that the choose() method returns the correct value when multiple options are specified. | [
{
"docid": "c8bb436108467f834e23623f08d757aa",
"score": "0.75952613",
"text": "@Test\n public void choose_multipleOptions()\n {\n int optionCount = 100;\n int weight = 10;\n String[] options = new String[ optionCount ];\n\n for ( int i = 0; i < optionCount; i++ )\n ... | [
{
"docid": "0fa2d0207a3041b34a29771f747f66ac",
"score": "0.6763361",
"text": "@Test\n public void choose_singleOption()\n {\n int weight = GeneralHelper.getRandom().nextInt( 1000 ) + 1;\n int value = GeneralHelper.getRandom().nextInt( weight );\n String option = GeneralHelper.... |
5096a46fee190a38bb16621b6ca9723c | repeated uint32 sgx_mac = 3 [packed = true]; | [
{
"docid": "9bf9216a7280d1b83ccc53e797e1f8f5",
"score": "0.0",
"text": "public Builder setSgxMac(\n int index, int value) {\n ensureSgxMacIsMutable();\n sgxMac_.set(index, value);\n onChanged();\n return this;\n }",
"title": ""
}
] | [
{
"docid": "55750ab89d7bd9d3815b5bb45224f9dd",
"score": "0.6390391",
"text": "com.google.protobuf.ByteString getMac();",
"title": ""
},
{
"docid": "caa7550f3d2a319a05d9bbcffdbb0bfa",
"score": "0.62744755",
"text": "int getSgxMac(int index);",
"title": ""
},
{
"docid": "fb... |
cb14c6b4d937c059f29d09a607c82703 | Returns the ship's ID number | [
{
"docid": "a376ca38f1b36a68a7a2852fcf0b8aac",
"score": "0.8247436",
"text": "public int getShipID()\r\n\t{\r\n\t\treturn this.shipID;\r\n\t}",
"title": ""
}
] | [
{
"docid": "0ff97a50513cb0f628070d6df05ef506",
"score": "0.78921694",
"text": "public int getShipUid() {\n return shipUid_;\n }",
"title": ""
},
{
"docid": "9b17618d45f2cc0df7ae73d476c827bc",
"score": "0.78681314",
"text": "public int getShipUid() {\n return shipUid_;\... |
8fa98137ee18fb21f50fee0dd6bf845b | Creates a new test case. | [
{
"docid": "91e64f8f3b3240ae995b58ebab9c089b",
"score": "0.0",
"text": "public SecondDefiningParameterTest() {\n }",
"title": ""
}
] | [
{
"docid": "8cee225d9821deed22b80fa1348f9eb8",
"score": "0.69372463",
"text": "@Test\n public void createTestCaseTest() throws QtestApiException {\n Long projectId = null;\n TestCaseWithCustomFieldResource body = null;\n String agentId = null;\n Boolean showParamIdentifier... |
7abe293bb74bf86be541e2858400877f | / This Methods sets the duration to PROGRESS_ZERO ("0"), currentPerson to NO_PERSON ("1") and running to true. The variables change in the Runtime to interact with UserClicks | [
{
"docid": "093cd3ddcf2b7f2988d8847f1e5fd459",
"score": "0.71910363",
"text": "private void setupRunningParameters() {\n\t\tduration = PROGRESS_ZERO;\n\t\tcurrentPerson = NO_PERSON;\n\t\trunning = true;\n\t}",
"title": ""
}
] | [
{
"docid": "b55fe58bc5acb176558af528a4d032b7",
"score": "0.6090754",
"text": "@Override\n\tpublic void run(Person person) {\n\t\tList<? extends PlanElement> acts_legs = person.getSelectedPlan().getPlanElements();\n\n\t\t// getting durations\n\t\tdouble[] durs = new double[(acts_legs.size()-1)/2];\n\t\ti... |
2ccd704472d6f9afc77f151b26efaaa3 | Inits the swing components | [
{
"docid": "7cb8be7ce4270c59a8d423bc5958b028",
"score": "0.73090565",
"text": "private void initComponents()\n {\n JPanel pnl = new TransparentPanel();\n pnl.setLayout(new GridLayout(0, 2));\n add(pnl, BorderLayout.NORTH);\n\n chkEnabled = new SIPCommCheckBox(\n ... | [
{
"docid": "6423d0265175bb877538d73a8335a659",
"score": "0.82474977",
"text": "private void initComponents() {\r\n\r\n setLayout(new java.awt.BorderLayout());\r\n }",
"title": ""
},
{
"docid": "79f8bd812fca6b09b646332d0f974e54",
"score": "0.8111917",
"text": "private void i... |
3cc21096b6eca779a688539d1968913e | 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. | [
{
"docid": "cca0b58ea4b649b053a80901ad960e8d",
"score": "0.0",
"text": "@Override\n public boolean onOptionsItemSelected(MenuItem item) {\n int id = item.getItemId();\n\n //noinspection SimplifiableIfStatement\n if (id == R.id.action_settings_stock) {\n return true;\n\... | [
{
"docid": "e82ca6202d1e2bfa26947f3955c40bbe",
"score": "0.7841244",
"text": "@Override\r\n public boolean onOptionsItemSelected(MenuItem item) {\r\n switch (item.getItemId()) {\r\n case android.R.id.home:\r\n // app icon in action bar clicked; go home\r\n ... |
15941b598141e18bdcaa9c3372cd39a7 | Returns a subset of all questions instances. | [
{
"docid": "e9a057369ace43766c232cf8a789eb89",
"score": "0.56516176",
"text": "java.util.List<sust.paperlessexm.entity.Questions> getQuestionsList(int startIndex, int endIndex) throws sust.paperlessexm.exception.GenericBusinessException;",
"title": ""
}
] | [
{
"docid": "cf3f1fd41bda844f3d37e2d8205e044d",
"score": "0.7305675",
"text": "public Collection<Question> getAll();",
"title": ""
},
{
"docid": "b00d904dff7a004312c3ef7f4755861a",
"score": "0.6881996",
"text": "public List<Question> allQuestions() {\n\t\treturn questionRepository.fin... |
45a40aba4a7ca3dcd98e2a66da6c6f9f | optional bool visible = 2; | [
{
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"score": "0.6263121",
"text": "public Builder setVisible(boolean value) {\n bitField0_ |= 0x00000002;\n visible_ = value;\n onChanged();\n return this;\n }",
"title": ""
}
] | [
{
"docid": "1d6f605f9271919ed500a72735a0be3a",
"score": "0.7607304",
"text": "public void setVisible(boolean visible)\n/* */ {\n/* 229 */ this.visible = visible;\n/* */ }",
"title": ""
},
{
"docid": "401c8ab1aa5ec2643d6af1bf7598ef30",
"score": "0.76013607",
"text":... |
1f2ccf0da1c5c17351ac17417b04fff6 | repeated int64 dim = 1 [packed = true]; | [
{
"docid": "10146d9c814fd4b6a65e48f89c7ac98e",
"score": "0.45819998",
"text": "public int getDimCount() {\n return dim_.size();\n }",
"title": ""
}
] | [
{
"docid": "13d07e41b3851968472aea0a4d4d0654",
"score": "0.5887737",
"text": "long getDims(int index);",
"title": ""
},
{
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"score": "0.5887737",
"text": "long getDims(int index);",
"title": ""
},
{
"docid": "551e0c37bc6c48f59396... |
71991fa3f4ec37927260b140216f637a | Alternative constructor method of Class. | [
{
"docid": "7729e71736ce6d23207812742cb4b40b",
"score": "0.0",
"text": "public Stereotype(Element element) {\n this.id = element.getAttribute(\"id\").trim();\n this.primitive = element.getAttribute(\"primitive\").trim().toLowerCase().equals(\"true\");\n this.setName(element.g... | [
{
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"score": "0.6640558",
"text": "public abstract Object construct();",
"title": ""
},
{
"docid": "e3fa980b53c5ddbf6f448725041a3e60",
"score": "0.6640558",
"text": "public abstract Object construct();",
"title": ""
},
{
"docid":... |
26d69ff99bd30702c7b04ae0b3f6c8d1 | end Book method with Object argument | [
{
"docid": "3298a0e6ab7f8390b8dddd7084b9ef3b",
"score": "0.0",
"text": "public String getTitle() {\r\n return title;\r\n }",
"title": ""
}
] | [
{
"docid": "f38174f842d0c7e802c8881056087013",
"score": "0.6387934",
"text": "@Override\r\n\tpublic void remove(Book book) {\n\r\n\t}",
"title": ""
},
{
"docid": "5f6d1f6b5c6cfed34effc494725b10ac",
"score": "0.63507044",
"text": "void deleteItem(Item book);",
"title": ""
},
{... |
bedb719f756b28020bfd8ba24f5cef5f | The main method to classify data, returning the results. | [
{
"docid": "09e86aca8c9fe7744fb23d893d7ea217",
"score": "0.68403435",
"text": "public DataSet classify (DataSet trainingData, DataSet testingData){\n\t\treturn testingData;\n\t}",
"title": ""
}
] | [
{
"docid": "9eaca866b200a8fb45ea7b6d92939634",
"score": "0.76579756",
"text": "public void classifyData() throws HWRException {\r\n\t\tm_logger.debug(\"Enter classifyData()\");\r\n\t\t// 1.Read Data\r\n\t\tpreProcess();\r\n\r\n\t\t// 2.Build Classifier ( Train )\r\n\t\tm_logger.debug(\"Training the cla... |
0bbd12175e11136fc572d7c3344bd704 | Load the list with shops | [
{
"docid": "95573f3c735ae9fb57216c0cec20af40",
"score": "0.8387866",
"text": "public void loadShops() {\n\t\tshops.load();\n\t}",
"title": ""
}
] | [
{
"docid": "9a50f32254083711a22088f1901e7f79",
"score": "0.730917",
"text": "public void reloadShops() {\n\t\tloadShops();\n\t}",
"title": ""
},
{
"docid": "539ddf4621e248737a7c1beb6d293f06",
"score": "0.6253738",
"text": "@GetMapping(\"/shops\")\r\n public List<Shop> list() {\r\n... |
40377022f2abcdfc2efeab7e6307371b | / Create Assessment Item with Framework (NCFTEST). Expected: Item should be created with given Framework | [
{
"docid": "812c8089c4b66c9471d3f929980f6ca8",
"score": "0.0",
"text": "@Test\n\tpublic void testItem_02() throws Exception {\n\t\tString request = \"{\\\"request\\\": {\\\"assessment_item\\\": {\\\"identifier\\\": \\\"LP_UTEST_03\\\",\\\"objectType\\\": \\\"AssessmentItem\\\",\\\"metadata\\\": {\\\"cod... | [
{
"docid": "c3206a676c7bd477867935d6c80813db",
"score": "0.65618974",
"text": "ComplianceItem createComplianceItem();",
"title": ""
},
{
"docid": "c138d324fdac3468bb1ca56a3fc41989",
"score": "0.62726504",
"text": "@Test\n public void postCreateItemTest() {\n String name = n... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "ba99a7ba850ad35698558556e32210bd",
"score": "0.0",
"text": "@Override\n\t//ここでは使用しない\n\tpublic void mouseMoved(MouseEvent arg0) {\n\n\t}",
"title": ""
}
] | [
{
"docid": "ffe5fe3cec40acf4b0b07ea257dfa06a",
"score": "0.6831473",
"text": "private void apparence()\r\n\t\t{\r\n\r\n\t\t}",
"title": ""
},
{
"docid": "838a915c9ea69d56cc37df198cff9cb2",
"score": "0.67589027",
"text": "@Override\n\t\t\t\tpublic void pintar() {\n\t\t\t\t\t\n\t\t\t\t... |
16f29c3a109a772cdb518f25fb6d5471 | get the blog URL of the user asking the question | [
{
"docid": "8e7163e72af23681dae872c894f224c5",
"score": "0.5986555",
"text": "public String getAskingUrl() {\n return asking_url;\n }",
"title": ""
}
] | [
{
"docid": "250599e0496327e33f9ef5caf574b3ef",
"score": "0.6594258",
"text": "public String getUri() {\r\n Blog blog = (Blog)getModel().get(Constants.BLOG_KEY);\r\n CommentConfirmationStrategy strategy = blog.getCommentConfirmationStrategy();\r\n return strategy.getUri();\r\n }",
"title": ... |
520054e934ff820292cbb9560be264d8 | Get DER coded length Values between 0 and 127 are encoded in one byte Values between 128 and 255 are encoded in two bytes Values between 256 and 65535 are encoded in three bytes Values between 65536 and 2^24 1 are encoded in four bytes Values between 2^24 and 2^32 1 are encoded in five byte For value >= 128 the first b... | [
{
"docid": "ff8da10c7a23368278dafd9c300129a2",
"score": "0.78969115",
"text": "public int getDERLength() throws TLVEncodingException {\n\t\tint length;\n\t\tint i = 1;\n\n\t\tif (cursor >= limit)\n\t\t\tthrow new TLVEncodingException(\"End of buffer\");\n\n\t\tif ((buffer[cursor] & 0x80) == 0x80) {\n\t\... | [
{
"docid": "3901325a5ec34bad3026f3ef7d3e662e",
"score": "0.69494796",
"text": "private int getLength() throws IOException {\n\n int i = in.read();\n if (i == -1) {\n throw new IOException(\"Invalid DER: length missing\");\n }\n\n // A single byte short length\n if ((i & ~0x7F) == 0) ... |
64af42c9b752717c4bbab98fd8dc1f6c | Sets the value of the 'policy_id' field. | [
{
"docid": "0da512a3c6c19ef36161b505f699b1a4",
"score": "0.81665087",
"text": "public com.hillstone.network.event.ThreatEvent.Builder setPolicyId(long value) {\n validate(fields()[14], value);\n this.policy_id = value;\n fieldSetFlags()[14] = true;\n return this;\n }",
"title"... | [
{
"docid": "f1727a885a63ae456bb96e582e82fb2b",
"score": "0.8060633",
"text": "public void setPolicyId(java.lang.Long value) {\n this.policy_id = value;\n }",
"title": ""
},
{
"docid": "364a6a444c9b6adc213e196635352418",
"score": "0.7595595",
"text": "public void setPolicyId(Strin... |
9c9af405893cb6bdbb52c84caf71c789 | print method (Account) override | [
{
"docid": "42341f6c275f250ba66a57e18d03f079",
"score": "0.74257183",
"text": "@Override\n public String toString(){\n return \"Account holder: \" + this.accountHolder + \"\\tAccount Number: \" + this.number + \"\\tBalance: \" + this.balance;\n }",
"title": ""
}
] | [
{
"docid": "907464aa31d64a72defc303ee29a6db8",
"score": "0.7507769",
"text": "@Test\n\t\n\tpublic void TestPrint() {\n\t\t\n\t\tAccount acc = new Account(\"stasa\",\"24213\");\n\t\tString exp = acc.getNumber() + \"\\t\" + acc.getName() + \"\\t\" + \"0.00\";\n\t\tAssert.assertEquals(acc.toString(), exp);... |
dce8961d05182c148ef7680528a4af99 | Tests whether the correct page view is returned. | [
{
"docid": "f4f52dd619749361a549f49b97f86300",
"score": "0.71820605",
"text": "public void testGetPageView()\r\n {\r\n PageManagerImpl pageMan = createPageManager();\r\n assertSame(\"Wrong page view\", view, pageMan.getPageView());\r\n }",
"title": ""
}
] | [
{
"docid": "dcc89e2fb87fb02fbc700c47bbcc8caf",
"score": "0.7044268",
"text": "protected abstract boolean checkPageContent();",
"title": ""
},
{
"docid": "055b9ca37cfacd3b4b6f04e4f685e28e",
"score": "0.69460756",
"text": "boolean hasPage();",
"title": ""
},
{
"docid": "7b6... |
d9f646141d47d0cd950ee9510df4d569 | Gets the stemming dictionary configured for the search domain. | [
{
"docid": "b9b7dd3da2dd1260f327f435f23fb403",
"score": "0.44638667",
"text": "public DescribeStemmingOptionsResult describeStemmingOptions(DescribeStemmingOptionsRequest describeStemmingOptionsRequest) {\n ExecutionContext executionContext = createExecutionContext(describeStemmingOptionsRequest)... | [
{
"docid": "1e3fa3b9450bf75608df9de41ad26c72",
"score": "0.65699434",
"text": "public StemSearch getStemSearch() {\r\n return this.stemSearch;\r\n }",
"title": ""
},
{
"docid": "d4a9d2f141b2a89478d97f0a6ea2034c",
"score": "0.5932626",
"text": "default String getStem() {\n ... |
bc4146f1a19a6c2b1fbeeeceb7d57b87 | / Gets the second job which is to calculate the distribution (no of nodes) of each degree | [
{
"docid": "22de7db2973e445d17f39ecbc3d8dbb5",
"score": "0.6707972",
"text": "private static Job getDistributionJob() throws IOException{\n\t\t\tConfiguration conf=new Configuration();\n\t\t\tconf.set(\"TOTAL_NO_NODES\", String.valueOf(total_no_nodes));\n\t \tJob job = Job.getInstance(conf);\n\t\t\tj... | [
{
"docid": "d20206f5a066e2cc06443d4a5055bd04",
"score": "0.6336892",
"text": "private static Job getDegreeJob() throws IOException{\n\t \tJob job = Job.getInstance(new Configuration());\n\t\t\tjob.setJarByClass(OutDegreeDistribution.class);\n\t \tjob.setMapperClass(OutDegreeMapper.class);\n\t \... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "088f8966fc9274cec52dc1a4b5d5327f",
"score": "0.0",
"text": "@Override\n\t\t\t\t\tpublic void onScrolled(RecyclerView recyclerView, int dx,\n\t\t\t\t\t\t\tint dy) {\n\t\t\t\t\t\tsuper.onScrolled(recyclerView, dx, dy);\n\t\t\t\t\t\tfor (int i = 0; i < rv_main_categorybars\n\t\t\t\t\t\t\t\t.get... | [
{
"docid": "1acc57d42c31dee937ac33ea6f2a5b0b",
"score": "0.6836411",
"text": "@Override\r\n\tpublic void comer() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "33d41636b65afa8267c9085dae3d1a2d",
"score": "0.6679176",
"text": "private void apparence() {\r\n\r\n\t}",
"title": ""
},
... |
c2932e3d7a7508366110bc527d85f752 | embeds as a with content encoded the model caprured so far. | [
{
"docid": "c48116d8412ba8db432eab1c0fd9801f",
"score": "0.63221186",
"text": "public void embed() {\n\t\tcell = row.getCell(1);\n\t\tbyte[] content = PictureGenerator.generate(model.toString(), parseAttributes(cell.body()), \"template.svg\", format);\n\t\tcell.body(getFormatter().gray(\"<img src=\\\"da... | [
{
"docid": "d4016cddfb13d91aca0a9ad12526294d",
"score": "0.5616094",
"text": "public abstract EmbedBuilder getDescriptionEmbed();",
"title": ""
},
{
"docid": "7e41efe14fd67fd895d45121846d2cff",
"score": "0.5430164",
"text": "private Mono<Message> createEmbed(MessageChannel channel, L... |
d16879c63f285a67e04ac53e53f87671 | Returns a vector with all undopossibilities. | [
{
"docid": "c31c23dbf1ae1f64e12496521b9e6bc7",
"score": "0.0",
"text": "@Override\n public Vector getBackPossibilities() {\n return historyModel.getBackPossibilities();\n }",
"title": ""
}
] | [
{
"docid": "53b02111573f16808bac8e2e3132345f",
"score": "0.5685611",
"text": "public Vector invert() {\n\t\tVector result = new Vector(size());\n\t\tfor (int i = 0; i < vectorEle.length; i++) {\n\t\t\tresult.set(i, 1 / get(i));\n\t\t}\n\t\treturn result;\n\t}",
"title": ""
},
{
"docid": "8b3... |