classprobability = new ArrayList<Double>();\n\t\t\t\tMap<String, Integer> testDocumentWordCounts = document.getWordCount();\n\n\t\t\t\tfor (int classindex = 1; classindex <= 20; classindex++) {\n\t\t\t\t\t// used for calculating the probability\n\t\t\t\t\tCluster trainCluster = trainingDataSet.get(Integer.toString(classindex));\n\t\t\t\t\t// System.out.println(classindex + \" \" + trainCluster.mClassId);\n\t\t\t\t\tMap<String, Double> bernoulliProbability = trainCluster.bernoulliProbabilities;\n\t\t\t\t\tdouble probability = Math.log(trainCluster.getDocumentSize()/trainDocSize);\n\t\t\t\t\tfor(int index = 1; index <= voc.size(); index++ ){\n\n\t\t\t\t\t\t// judge whether this word is stop word \n\t\t\t\t\t\tboolean isStopwords = englishStopPosition.contains(index);\n\t\t\t\t\t\tif (isStopwords) continue;\n\n\t\t\t\t\t\tboolean contain = testDocumentWordCounts.containsKey(Integer.toString(index));\t\t\t\t\t\t\n\t\t\t\t\t\tif (contain) {\n\t\t\t\t\t\t\tprobability += Math.log(bernoulliProbability.get(Integer.toString(index)));\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tprobability += Math.log(1 - bernoulliProbability.get(Integer.toString(index)));\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// put the probability into the map for the specific class\n\t\t\t\t\tclassprobability.add(probability);\n\t\t\t\t}\n\t\t\t\tObject obj = Collections.max(classprobability);\n\t\t\t\t// System.out.println(classprobability);\n\t\t\t\tString predicte_class1 = obj.toString();\n\t\t\t\t// System.out.println(predicte_class1);\n\t\t\t\t// System.out.println(Double.parseDouble(predicte_class1));\n\t\t\t\tint index = classprobability.indexOf(Double.parseDouble(predicte_class1));\n\t\t\t\t// System.out.println(index);\n\t\t\t\tString predicte_class = Integer.toString(index + 1);\n\n\n\t\t\t\tconfusion_matrix[testKey - 1][index] += 1;\n\n\t\t\t\t// System.out.println(document.docId + \": G, \" + testKey + \"; P: \" + predicte_class);\n\t\t\t\tif (!predicte_class.equals(Integer.toString(testKey))) {\n\t\t\t\t\terror += 1;\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tSystem.out.println(\"the error is \" + error + \"; the document size : \" + documentSize);\n\t\t}\n\n\t\tSystem.out.println(\"the error is \" + error + \"; the document size : \" + documentSize + \" precision rate : \" + (1 - error/documentSize));\n\n\t\t// print confusion matrix\n\t\tprintConfusionMatrix(confusion_matrix);\n\t}","@Override\n\tpublic double getFinalBestTargetValue() {\n\t\treturn 0;\n\t}","public double train(ExampleInput input, ExampleOutput output,\n\t\t\tExampleOutput predicted);","@Override\n\tpublic void learnPrior(Object[] data, double[] prob) {\n\t\tint[][] learningData = new int[data.length][];\n\t\tfor(int i = 0; i < data.length; i++) {\n\t\t\ttry {\n\t\t\t\tlearningData[i] = (int[])data[i];\n\t\t\t} catch (ClassCastException e) {\n\t\t\t\tthrow new ClassCastException(\"only accept int[][] data type\");\n\t\t\t}\n\t\t}\n\t\tthis.learnParameters(learningData);\n\t\tfor(int i = 0; i < this.getMixtureSize(); i++) {\n DirichletDistrib dirichlet = (DirichletDistrib)this.getDistrib(i); \n System.arraycopy(dirichlet.getAlpha(), 0, alpha[i], 0, this.getDomain().size());\n m[i] = this.getWeights(i);\n\t\t}\n\t}","public abstract int predict(double[] testingData);","@Override\n public Classification<F, C> classify(Collection<F> features) {\n SortedSet<Classification<F, C>> probabilites = this.categoryProbabilities(features);\n\n if (probabilites.size() > 0) {\n return probabilites.last();\n }\n return null;\n }","private void forwardPropagation(int[] trainingData, double[] activationsOfHiddenLayer, double[] outputActivations) {\n\t\tdouble[] hiddenActivations = new double[SIZE_HIDDEN_LAYER];\n\n\t\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\n\t\t\thiddenActivations[indexHidden] = 0;\n\t\t\tfor(int indexInput = 0; indexInput < SIZE_INPUT_LAYER; indexInput++) {\n\t\t\t\thiddenActivations[indexHidden] += weightsOfHiddenLayer[indexHidden][indexInput] * trainingData[indexInput];\n\t\t\t}\t\n\t\t\thiddenActivations[indexHidden] += biasOfHiddenLayer[indexHidden];\n//\t\t\t// We then call the activation function \n\t\t\thiddenActivations[indexHidden] = tanh(hiddenActivations[indexHidden]);\n\t\t\tactivationsOfHiddenLayer[indexHidden] = hiddenActivations[indexHidden];\n\n\t\t}\n\t\t\t\t\n\t\tfor(int indexOuput = 0; indexOuput < SIZE_OUTPUT_LAYER; indexOuput++) {\n\t\t\toutputActivations[indexOuput] = 0;\n\t\t\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden ++) {\n\t\t\t\toutputActivations[indexOuput] += weightsOfOutputLayer[indexOuput][indexHidden] * hiddenActivations[indexHidden];\n\t\t\t}\t\n\t\t\toutputActivations[indexOuput] += biasOfOutputLayer[indexOuput];\n\t\t}\n\t\tsoftmax(outputActivations);\t\n\t}","java.lang.String getPredicted();","public void classify() {\n\t\ttry {\n\t\t\tdouble pred = classifier.classifyInstance(instances.instance(0));\n\t\t\tSystem.out.println(\"===== Classified instance =====\");\n\t\t\tSystem.out.println(\"Class predicted: \" + instances.classAttribute().value((int) pred));\n\t\t}\n\t\tcatch (Exception e) {\n\t\t\tSystem.out.println(\"Problem found when classifying the text\");\n\t\t}\t\t\n\t}","private void classifyTestImages() throws FileNotFoundException, UnsupportedEncodingException {\n PrintWriter writer = new PrintWriter(\"result.txt\", \"UTF-8\");\n writer.println(\"#Authors: Thomas Sarlin & Petter Poucette\");\n\n ArrayList<Image> images = testReader.getImages();\n double activationResult[]=new double[4];\n int bestGuess;\n for (Image image : images) {\n for (int j = 0; j < 4; j++)\n activationResult[j] = activationFunction\n .apply(sumWeights(j, image));\n\n bestGuess = getBestGuess(activationResult);\n writer.println(image.getName() + \" \" + bestGuess);\n }\n writer.close();\n }","public void predict(String filename){\n double[] dataVector = new double[1943];\n try {\n int[] temp = dv.getDataVector(filename);\n for (int i=0;i<temp.length;i++){\n dataVector[i] = temp[i];\n }\n } catch (IOException e) {\n e.printStackTrace();\n }\n double h = matrix.sigmoid(hypothesis(dataVector,Theta));\n System.out.println((h>=0.9)?\"Not Spam\":\"Spam\");\n }","public int classify(String doc){\n\t\tint label = 0;\n\t\tint vSize = vocabulary.size();\n\t\tdouble[] score = new double[numClasses];\n\t\tfor(int i=0;i<score.length;i++){\n\t\t\tscore[i] = Math.log(classCounts[i]*1.0/trainingDocs.size());\n\t\t}\n\t\tString[] tokens = doc.split(\" \");\n\t\tfor(int i=0;i<numClasses;i++){\n\t\t\tfor(String token: tokens){\n\t\t\t\tif(condProb[i].containsKey(token)){\n\t\t\t\t\tscore[i] += Math.log(condProb[i].get(token));\n\t\t\t\t}\n\t\t\t\telse{\n\t\t\t\t\tscore[i] += Math.log(1.0/(classTokenCounts[i]+vSize));\n\t\t\t\t}\n\t\t\t\t//System.out.println(\"token: \"+token+\" \"+score[i]);\n\t\t\t}\n\t\t}\n\t\tdouble maxScore = score[0];\n\t\t//System.out.println(\"class 0: \"+score[0]);\n\t\tfor(int i=1;i<score.length;i++){\n\t\t\t//System.out.println(\"class \"+i+\": \"+score[i]);\n\t\t\tif(score[i]>maxScore){\n\t\t\t\tlabel = i;\n\t\t\t}\n\t\t}\n\t\treturn label;\n\t}","public final double[] score0( double[] data, double[] preds ) {\n java.util.Arrays.fill(preds,0);\n java.util.Arrays.fill(NUMS,0);\n int i = 0, ncats = 0;\n final int n = data.length;\n for(; i<n; ++i) {\n NUMS[i] = Double.isNaN(data[i]) ? 0 : data[i];\n }\n java.util.Arrays.fill(ACTIVATION[0],0);\n for (i=0; i<NUMS.length; ++i) {\n ACTIVATION[0][CATOFFSETS[CATOFFSETS.length-1] + i] = Double.isNaN(NUMS[i]) ? 0 : NUMS[i];\n }\n for (i=1; i<ACTIVATION.length; ++i) {\n java.util.Arrays.fill(ACTIVATION[i],0);\n int cols = ACTIVATION[i-1].length;\n int rows = ACTIVATION[i].length;\n int extra=cols-cols%8;\n int multiple = (cols/8)*8-1;\n int idx = 0;\n float[] a = WEIGHT[i];\n double[] x = ACTIVATION[i-1];\n double[] y = BIAS[i];\n double[] res = ACTIVATION[i];\n for (int row=0; row<rows; ++row) {\n double psum0 = 0, psum1 = 0, psum2 = 0, psum3 = 0, psum4 = 0, psum5 = 0, psum6 = 0, psum7 = 0;\n for (int col = 0; col < multiple; col += 8) {\n int off = idx + col;\n psum0 += a[off ] * x[col ];\n psum1 += a[off + 1] * x[col + 1];\n psum2 += a[off + 2] * x[col + 2];\n psum3 += a[off + 3] * x[col + 3];\n psum4 += a[off + 4] * x[col + 4];\n psum5 += a[off + 5] * x[col + 5];\n psum6 += a[off + 6] * x[col + 6];\n psum7 += a[off + 7] * x[col + 7];\n }\n res[row] += psum0 + psum1 + psum2 + psum3;\n res[row] += psum4 + psum5 + psum6 + psum7;\n for (int col = extra; col < cols; col++)\n res[row] += a[idx + col] * x[col];\n res[row] += y[row];\n idx += cols;\n }\n if (i<ACTIVATION.length-1) {\n for (int r=0; r<ACTIVATION[i].length; ++r) {\n ACTIVATION[i][r] = 1 - 2 / (1 + Math.exp(2*ACTIVATION[i][r]));\n }\n }\n if (i == ACTIVATION.length-1) {\n double max = ACTIVATION[i][0];\n for (int r=1; r<ACTIVATION[i].length; r++) {\n if (ACTIVATION[i][r]>max) max = ACTIVATION[i][r];\n }\n double scale = 0;\n for (int r=0; r<ACTIVATION[i].length; r++) {\n ACTIVATION[i][r] = Math.exp(ACTIVATION[i][r] - max);\n scale += ACTIVATION[i][r];\n }\n for (int r=0; r<ACTIVATION[i].length; r++) {\n if (Double.isNaN(ACTIVATION[i][r]))\n throw new RuntimeException(\"Numerical instability, predicted NaN.\");\n ACTIVATION[i][r] /= scale;\n preds[r+1] = ACTIVATION[i][r];\n }\n }\n }\n preds[0] = hex.genmodel.GenModel.getPrediction(preds, PRIOR_CLASS_DISTRIB, data, 0.5);\n return preds;\n }","public void printPrediction() {\n\t\tfor (int i = 0; i < testData.size(); i++) {\n\t\n\t\t\tSystem.out.print(testData.get(i) + \", Predicted label:\"\n\t\t\t\t\t+ predictLabels[i]);\n\t\t\tif (predictLabels[i] >= 20) System.out.println(\" Successful\");\n\t\t\telse System.out.println(\" Failed\");\n\t\t}\n\t}","public int getPrediction(int i, int j) {\n\t\treturn predictions[i][j];\n\t}","@Override\n\tpublic double getTargetValueInCurrentBest() {\n\t\treturn 0;\n\t}","private double getClassProbability(ClassificationClass classificationClass) {\n if (classificationClass == null) {\n return 0;\n }\n\n double documentsInClass = 0;\n\n for (Document document : documents) {\n if (document.getClassificationClasses().contains(classificationClass)) {\n documentsInClass++;\n }\n }\n\n return documentsInClass / documents.size();\n }","public int computeTN(Label classLabel){\n\n\t\t/*\n\t\t * TODO: optimize this loggic\n\t\t */\n\t\t//count the totla number of predictions\n\t\tint total = sumAll();\n\n\n\n\t\tint tp = this.computeTP(classLabel);\n\t\tint fp = this.computeFP(classLabel);\n\t\tint fn = this.computeFN(classLabel);\n\n\t\treturn total - tp - fp - fn;\n\t}","public String decodePredictions(INDArray predictions) {\n Preconditions.checkState(predictions.size(1) == predictionLabels.size(), \"Invalid input array:\" +\n \" expected array with size(1) equal to numLabels (%s), got array with shape %s\", predictionLabels.size(), predictions.shape());\n\n String predictionDescription = \"\";\n int[] top5 = new int[5];\n float[] top5Prob = new float[5];\n\n //brute force collect top 5\n int i = 0;\n for (int batch = 0; batch < predictions.size(0); batch++) {\n predictionDescription += \"Predictions for batch \";\n if (predictions.size(0) > 1) {\n predictionDescription += String.valueOf(batch);\n }\n predictionDescription += \" :\";\n INDArray currentBatch = predictions.getRow(batch).dup();\n while (i < 5) {\n top5[i] = Nd4j.argMax(currentBatch, 1).getInt(0);\n top5Prob[i] = currentBatch.getFloat(batch, top5[i]);\n currentBatch.putScalar(0, top5[i], 0);\n predictionDescription += \"\\n\\t\" + String.format(\"%3f\", top5Prob[i] * 100) + \"%, \"\n + predictionLabels.get(top5[i]);\n i++;\n }\n }\n return predictionDescription;\n }","public double predict (\tint user, \n\t\t\t\t\t\t\tint item )\t\n\t{\n\t\treturn dao.getUserMeanRating(user);\n\t}","public double AccuracyLossTrainSet()\n\t{\n\t\tdouble accuracyLoss = 0;\n\t\t\n\t\tfor(int i = 0; i < ITrain; i++)\n\t\t{\n\t\t\tPreCompute(i);\n\t\t\n\t\t\tfor(int c = 0; c < C; c++)\n\t\t\t\taccuracyLoss += AccuracyLoss(i, c);\n\t\t}\n\t\t\n\t\treturn accuracyLoss;\n\t}","public double expectedFalsePositiveProbability() {\n\t\treturn Math.pow((1 - Math.exp(-k * (double) expectedElements\n\t\t\t\t/ (double) bitArraySize)), k);\n\t}","public double getProbability() {\n return probability;\n }","public float getProbCross () {\r\n return cross_prob;\r\n }","public static Map<String, Object> l_LAYER_MODEL_MultiClassClassifications_SoftMax_withdropout(\r\n\t\t\tdouble[][] X, double[][] Y, int[] layerDimenstions,\r\n\t\t\tdouble learningRate, int numOfIterations,\r\n\t\t\tDeepNNOptimizers optimizer, DeepNNRegularizor regulizer,\r\n\t\t\tdouble dropOutKeepThreshould, boolean iprintCost) throws Exception {\r\n\r\n\t\tMatrixUtil.setSeed(IPredictionModelConstants.RANDOM_SEED_FOR_REPRODUCIBILITY);\r\n\r\n\t\t//XYSeries //seriesData = new XYSeries(\"Cost\");\r\n\r\n\t\t\r\n\t\tint m = X[0].length;\r\n\t\tMap<String, Object> parameters = null;\r\n\t\tMap<Enum<DeepNNKeysForMaps>, Object> AdamParameters = null;\r\n\t\tMap<String, Object> grads = null;\r\n\t\tMap<String, Object> actCaches = null;\r\n\t\tMap<String, Object> feedForwardResult = null;\r\n\t\tdouble[][] AL = null;\r\n\t\tMap<DeepNNKeysForMaps, Object> oneHotMatrixresult = null;\r\n\t\tdouble cost = 0.0, previousCost = Double.MIN_VALUE, costDifference = 0.0;\r\n\t\tdouble finalPrecision = 0.0, beta1 = 0.9, beta2 = 0.99, adamt = 2;\r\n\t\tMap<String, Object> dropOutMap = new HashMap<>();\r\n\t\toneHotMatrixresult = MatrixUtil.createOneHotVectorMatrix(Y);\r\n\t\tdouble[][] Y_OneHot = (double[][]) oneHotMatrixresult\r\n\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_ONE_HOT_MATRIX);\r\n\t\tMap<Double, double[]> labeltoOnhotVectorMap = (Map<Double, double[]>) oneHotMatrixresult\r\n\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_LABEL_TO_ONE_HOT);\r\n\t\tX = MatrixUtil.T(X);\r\n\t\t// np.printshapes(X,Y_OneHot);\r\n\t\tY_OneHot = MatrixUtil.T(Y_OneHot);\r\n\t\tlayerDimenstions[layerDimenstions.length - 1] = labeltoOnhotVectorMap\r\n\t\t\t\t.size();\r\n\t\tparameters = DNNUtils.initializeParameterDeep(layerDimenstions, m,\r\n\t\t\t\tParameterInitializationType.BENGIO);\r\n\t\tint L = parameters.size() / 2;\r\n\r\n\t\tif (optimizer == DeepNNOptimizers.ADAM) {\r\n\t\t\tAdamParameters = DNNUtils.initializeAdamParameters(parameters);\r\n\t\t\tbeta1 = 0.9;\r\n\t\t\tbeta2 = 0.999;\r\n\t\t\tadamt = 2;\r\n\r\n\t\t}\r\n\r\n\t\tfor (int i = 0; (i < numOfIterations); i++) {\r\n\r\n\t\t\tfeedForwardResult = DNNUtils\r\n\t\t\t\t\t.L_model_forward_multiClass_classification_withdropout(X,\r\n\t\t\t\t\t\t\tparameters, dropOutKeepThreshould, dropOutMap);\r\n\t\t\tactCaches = (Map<String, Object>) feedForwardResult.get(String\r\n\t\t\t\t\t.valueOf(\"actCache_\" + (L)));\r\n\t\t\tAL = (double[][]) actCaches.get(String.valueOf(\"A\"));\r\n\t\t\tcost = DNNUtils.sparse_categorial_crossentropy(m, Y_OneHot, AL);\r\n\t\t\tcostDifference = cost - previousCost;\r\n\t\t\tpreviousCost = cost;\r\n\t\t\t\r\n\t\t\tgrads = DNNUtils\r\n\t\t\t\t\t.L_model_backward_MultiClass_Classification_with_dropout(\r\n\t\t\t\t\t\t\tAL, Y_OneHot, feedForwardResult,\r\n\t\t\t\t\t\t\tdropOutKeepThreshould, dropOutMap); // here i should\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// pass both\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// cashes;\r\n\r\n\t\t\tif (optimizer == DeepNNOptimizers.ADAM) {\r\n\t\t\t\tAdamParameters = DNNUtils.updateParametersWithAdams(parameters,\r\n\t\t\t\t\t\tgrads, AdamParameters, adamt, learningRate, beta1,\r\n\t\t\t\t\t\tbeta2, IPredictionModelConstants.EPSILON);\r\n\t\t\t\tparameters = (Map<String, Object>) AdamParameters\r\n\t\t\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_NN_PARAMETERS);\r\n\t\t\t} else {\r\n\t\t\t\tparameters = DNNUtils.updateParametersWithGD(parameters, grads,\r\n\t\t\t\t\t\tlearningRate);\r\n\t\t\t}\r\n\r\n\t\t\tif (i % 400 == 0 && iprintCost) {\r\n\t\t\t\tMatrixUtil.print(\"==============\");\r\n\t\t\t\tMatrixUtil.print(\"Cost = \" + cost);\r\n\t\t\t\t\r\n\t\t\t\tfinalPrecision = DNNUtils.accuracyForMultiClassClassification(\r\n\t\t\t\t\t\tAL, Y_OneHot);\r\n\t\t\t\t\r\n\t\t\t\tMatrixUtil.print(\"Predicted multiclass classification precision= \"\r\n\t\t\t\t\t\t+ finalPrecision);\r\n\t\t\t\t\r\n\t\t\t}\r\n\t\t\tif (Math.abs(costDifference) < IPredictionModelConstants.EPSILON) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\r\n\t\t}\r\n\t\t\r\n\t\treturn parameters;\r\n\t}","public double getProbability(Object rootState) { return getProbability(rootState, (Object[])null); }"],"string":"[\n \"public double[] softmax(double[] input) {\\n double output[] = new double[input.length];\\n for (int i = 0; i < input.length; i++) {\\n double div = 0.0;\\n for (int j = 0; j < input.length; j++) {\\n div += Math.exp( input[j] / softMax_temperature );\\n }\\n output[i] = Math.exp( input[i] / softMax_temperature ) / div;\\n }\\n return output;\\n }\",\n \"default double predictClassProb(Vector vector, int classIndex){\\n return predictClassProbs(vector)[classIndex];\\n }\",\n \"public int predict(int[] testingData) {\\n\\t\\t// HIDDEN LAYER\\n\\t\\tdouble[] hiddenActivations = new double[SIZE_HIDDEN_LAYER];\\n\\t\\t\\n\\t\\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\\n\\t\\t\\thiddenActivations[indexHidden] = 0;\\n\\t\\t\\tfor(int indexInput = 0; indexInput < SIZE_INPUT_LAYER; indexInput++) {\\n\\t\\t\\t\\thiddenActivations[indexHidden] += weightsOfHiddenLayer[indexHidden][indexInput] * testingData[indexInput];\\n\\t\\t\\t}\\t\\n\\t\\t\\thiddenActivations[indexHidden] += biasOfHiddenLayer[indexHidden];\\n\\t\\t\\thiddenActivations[indexHidden] = tanh(hiddenActivations[indexHidden]);\\n\\t\\t}\\n\\t\\t// OUTPUT LAYER \\n\\t\\tdouble[] predictedLabel = new double[testingData.length];\\n\\n\\t\\tfor(int i = 0; i < SIZE_OUTPUT_LAYER; i++) {\\n\\t\\t\\tpredictedLabel[i] = 0;\\n\\n\\t\\t\\tfor(int j = 0; j < SIZE_HIDDEN_LAYER; j++) {\\n\\t\\t\\t\\tpredictedLabel[i] += weightsOfOutputLayer[i][j] * hiddenActivations[j];\\n\\t\\t\\t}\\n\\t\\t\\tpredictedLabel[i] += biasOfOutputLayer[i]; \\n\\t\\t}\\n\\t\\tsoftmax(predictedLabel);\\n\\t\\tint solution = argmax(predictedLabel);\\n\\t\\treturn solution;\\n\\t}\",\n \"float predict();\",\n \"private double[] computePredictionValues() {\\n double[] predResponses = new double[D];\\n for (int d = 0; d < D; d++) {\\n double expDotProd = Math.exp(docLabelDotProds[d]);\\n double docPred = expDotProd / (expDotProd + 1);\\n predResponses[d] = docPred;\\n }\\n return predResponses;\\n }\",\n \"private double[] evaluateProbability(double[] data) {\\n\\t\\tdouble[] prob = new double[m_NumClasses], v = new double[m_NumClasses];\\n\\n\\t\\t// Log-posterior before normalizing\\n\\t\\tfor (int j = 0; j < m_NumClasses - 1; j++) {\\n\\t\\t\\tfor (int k = 0; k <= m_NumPredictors; k++) {\\n\\t\\t\\t\\tv[j] += m_Par[k][j] * data[k];\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tv[m_NumClasses - 1] = 0;\\n\\n\\t\\t// Do so to avoid scaling problems\\n\\t\\tfor (int m = 0; m < m_NumClasses; m++) {\\n\\t\\t\\tdouble sum = 0;\\n\\t\\t\\tfor (int n = 0; n < m_NumClasses - 1; n++)\\n\\t\\t\\t\\tsum += Math.exp(v[n] - v[m]);\\n\\t\\t\\tprob[m] = 1 / (sum + Math.exp(-v[m]));\\n\\t\\t\\tif (prob[m] == 0)\\n\\t\\t\\t\\tprob[m] = 1.0e-20;\\n\\t\\t}\\n\\n\\t\\treturn prob;\\n\\t}\",\n \"@Override\\n\\n protected Integer doInBackground(Integer... params) {\\n Bitmap resized_image = ImageUtils.processBitmap(bitmap, 224);\\n\\n //Normalize the pixels\\n floatValues = ImageUtils.normalizeBitmap(resized_image, 224, 127.5f, 1.0f);\\n\\n //Pass input into the tensorflow\\n tf.feed(INPUT_NAME, floatValues, 1, 224, 224, 3);\\n\\n //compute predictions\\n tf.run(new String[]{OUTPUT_NAME});\\n\\n //copy the output into the PREDICTIONS array\\n tf.fetch(OUTPUT_NAME, PREDICTIONS);\\n\\n //Obtained highest prediction\\n Object[] results = argmax(PREDICTIONS);\\n\\n\\n int class_index = (Integer) results[0];\\n float confidence = (Float) results[1];\\n\\n\\n try {\\n\\n final String conf = String.valueOf(confidence * 100).substring(0, 5);\\n\\n //Convert predicted class index into actual label name\\n final String label = ImageUtils.getLabel(getAssets().open(\\\"labels.json\\\"), class_index);\\n\\n\\n //Display result on UI\\n runOnUiThread(new Runnable() {\\n @Override\\n public void run() {\\n\\n progressBar.dismiss();\\n resultView.setText(label + \\\" : \\\" + conf + \\\"%\\\");\\n\\n }\\n });\\n\\n } catch (Exception e) {\\n\\n\\n }\\n\\n\\n return 0;\\n }\",\n \"private float[] predict(float[] input) {\\n float thisOutput[] = new float[1];\\n\\n // feed network with input of shape (1,input.length) = (1,2)\\n inferenceInterface.feed(\\\"dense_1_input\\\", input, 1, input.length);\\n inferenceInterface.run(new String[]{\\\"dense_2/Relu\\\"});\\n inferenceInterface.fetch(\\\"dense_2/Relu\\\", thisOutput);\\n\\n // return prediction\\n return thisOutput;\\n }\",\n \"public double[] getProbabilities() { return getProbabilities((int[])null); }\",\n \"float getSpecialProb();\",\n \"int[][] predictionForAllUsers() {\\n int[][] tempPredictionMatrix = new int[formalContext.trainingFormalContext.length][];\\n for (int i = 0; i < formalContext.trainingFormalContext.length; i++) {\\n//\\t\\t\\tSystem.out.println(\\\"1.1\\\");\\n tempPredictionMatrix[i] = predictForAllItems(i);\\n } // End for i\\n return tempPredictionMatrix;\\n }\",\n \"public int getNumberOfPredictors()\\n {\\n return 1;\\n }\",\n \"@Override\\r\\n\\tpublic int predict(double[] x, double[] posteriori) {\\n\\t\\treturn 0;\\r\\n\\t}\",\n \"@Override\\n public double makePrediction(ParsedText text) {\\n double pr = 0.0;\\n\\n /* FILL IN HERE */\\n double productSpam = 0;\\n double productNoSpam = 0;\\n \\n int i, tempSpam,tempNoSpam;\\n int minSpam, minNoSpam ;\\n \\n \\n for (String ng: text.ngrams) {\\n \\tminSpam = Integer.MAX_VALUE;\\n \\tminNoSpam = Integer.MAX_VALUE;\\n \\n\\n \\tfor (int h = 0;h < nbOfHashes; h++) {\\n \\t\\ti = hash(ng,h);\\n\\n \\t\\ttempSpam = counts[1][h][i];\\n \\t\\ttempNoSpam = counts[0][h][i];\\n \\t\\t\\n \\t\\t//System.out.print(tempSpam + \\\" \\\");\\n\\n \\t\\tminSpam = minSpam<tempSpam?minSpam:tempSpam; \\n \\t\\tminNoSpam = minNoSpam<tempNoSpam?minNoSpam:tempNoSpam; \\n \\t\\t\\n \\t}\\n\\n \\t//System.out.println(minSpam + \\\"\\\\n\\\");\\n \\tproductSpam += Math.log(minSpam);\\n \\tproductNoSpam += Math.log(minNoSpam);\\n }\\n \\n // size of set minus 1\\n int lm1 = text.ngrams.size() - 1;\\n \\n //System.out.println((productNoSpam - productSpam ));\\n //System.out.println((lm1*Math.log(this.classCounts[1]) - lm1*Math.log(this.classCounts[0])));\\n\\n //\\n pr = 1 + Math.exp(productNoSpam - productSpam + lm1*(Math.log(classCounts[1]) - Math.log(classCounts[0])));\\n // System.out.print(1.0/pr + \\\"\\\\n\\\");\\n \\n return 1.0 / pr;\\n\\n }\",\n \"public double[] predict(double[] input_array) {\\n\\t\\tMatrix_instance input = new Matrix_instance(input_array);\\n\\t\\tMatrix_instance hidden = Matrix.Product(this.weights_ih, input);\\n\\t\\thidden.adder(this.bias_h);\\n\\n\\t\\t// activation function\\n\\t\\thidden.applyFunction(i -> sigmoid(i));\\n\\t\\tMatrix_instance output = Matrix.Product(this.weights_ho, hidden);\\n\\t\\toutput.adder(this.bias_o);\\n\\t\\toutput.applyFunction(i -> sigmoid(i));\\n\\t\\treturn output.toArray();\\n\\t}\",\n \"private float predict(float[][] features) {\\n Tensor input = Tensor.create(features);\\n float[][] output = new float[1][1];\\n Tensor op_tensor = sess.runner().feed(\\\"input\\\", input).fetch(\\\"output\\\").run().get(0).expect(Float.class);\\n Log.i(\\\"Tensor Shape\\\", op_tensor.shape()[0] + \\\", \\\" + op_tensor.shape()[1]);\\n op_tensor.copyTo(output);\\n return output[0][0];\\n }\",\n \"public void predict(final Bitmap bitmap) {\\n new AsyncTask<Integer, Integer, Integer>() {\\n\\n @Override\\n\\n protected Integer doInBackground(Integer... params) {\\n\\n //Resize the image into 224 x 224\\n Bitmap resized_image = ImageUtils.processBitmap(bitmap, 224);\\n\\n //Normalize the pixels\\n floatValues = ImageUtils.normalizeBitmap(resized_image, 224, 127.5f, 1.0f);\\n\\n //Pass input into the tensorflow\\n tf.feed(INPUT_NAME, floatValues, 1, 224, 224, 3);\\n\\n //compute predictions\\n tf.run(new String[]{OUTPUT_NAME});\\n\\n //copy the output into the PREDICTIONS array\\n tf.fetch(OUTPUT_NAME, PREDICTIONS);\\n\\n //Obtained highest prediction\\n Object[] results = argmax(PREDICTIONS);\\n\\n\\n int class_index = (Integer) results[0];\\n float confidence = (Float) results[1];\\n\\n\\n try {\\n\\n final String conf = String.valueOf(confidence * 100).substring(0, 5);\\n\\n //Convert predicted class index into actual label name\\n final String label = ImageUtils.getLabel(getAssets().open(\\\"labels.json\\\"), class_index);\\n\\n\\n //Display result on UI\\n runOnUiThread(new Runnable() {\\n @Override\\n public void run() {\\n\\n progressBar.dismiss();\\n resultView.setText(label + \\\" : \\\" + conf + \\\"%\\\");\\n\\n }\\n });\\n\\n } catch (Exception e) {\\n\\n\\n }\\n\\n\\n return 0;\\n }\\n\\n\\n }.execute(0);\\n\\n }\",\n \"@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\\tdouble log_POSITIVE = Math.log(p_l(Label.POSITIVE));\\n\\t\\tfor (String word : words)\\n\\t\\t\\tlog_POSITIVE += Math.log(p_w_given_l(word, Label.POSITIVE));\\n\\n\\t\\tdouble log_NEGATIVE = Math.log(p_l(Label.NEGATIVE));\\n\\t\\tfor (String word : words)\\n\\t\\t\\tlog_NEGATIVE += Math.log(p_w_given_l(word, Label.NEGATIVE));\\n\\n\\t\\t// Create the ClassifyResult\\n\\t\\tClassifyResult result = new ClassifyResult();\\n\\t\\tresult.logProbPerLabel = new HashMap<Label, Double>();\\n\\t\\tresult.logProbPerLabel.put(Label.POSITIVE, log_POSITIVE);\\n\\t\\tresult.logProbPerLabel.put(Label.NEGATIVE, log_NEGATIVE);\\n\\t\\t\\n\\t\\tif (log_POSITIVE > log_NEGATIVE)\\n\\t\\t\\tresult.label = Label.POSITIVE;\\n\\t\\telse\\n\\t\\t\\tresult.label = Label.NEGATIVE;\\n\\n\\t\\treturn result;\\n\\t}\",\n \"private double getProbOfClass(int catIndex) {\\r\\n\\t\\treturn (classInstanceCount[catIndex] + mCategoryPrior)\\r\\n\\t\\t\\t\\t/ (classInstanceCount[0] + classInstanceCount[1] + mCategories.length\\r\\n\\t\\t\\t\\t\\t\\t* mCategoryPrior);\\r\\n\\t}\",\n \"public double getObservationProbability(){\\r\\n double ret=0;\\r\\n int time=o.length;\\r\\n int N=hmm.stateCount;\\r\\n for (int t=0;t<=time;++t){\\r\\n for (int i=0;i<N;++i){\\r\\n ret+=fbManipulator.alpha[t][i]*fbManipulator.beta[t][i];\\r\\n }\\r\\n }\\r\\n ret/=time;\\r\\n return ret;\\r\\n }\",\n \"@Override\\n public Vote[] getPredictionVotes() {\\n Attribute classAttribute = this.lastSeenInstance.dataset().classAttribute();\\n double trueValue = this.lastSeenInstance.classValue();\\n List<String> classAttributeValues = classAttribute.getAttributeValues();\\n\\n int trueNominalIndex = (int) trueValue;\\n String trueNominalValue = classAttributeValues.get(trueNominalIndex);\\n\\n Vote[] votes = new Vote[classVotes.length + 3];\\n votes[0] = new Vote(\\\"instance number\\\",\\n this.instanceIdentifier);\\n votes[1] = new Vote(\\\"true class value\\\",\\n trueNominalValue);\\n votes[2] = new Vote(\\\"predicted class value\\\",\\n classAttributeValues.get(Utils.maxIndex(classVotes)));\\n\\n for (int i = 0; i < classAttributeValues.size(); i++) {\\n if (i < classVotes.length) {\\n votes[2 + i] = new Vote(\\\"votes_\\\" + classAttributeValues.get(i), classVotes[i]);\\n } else {\\n votes[2 + i] = new Vote(\\\"votes_\\\" + classAttributeValues.get(i), 0);\\n }\\n }\\n return votes;\\n }\",\n \"void CalculateProbabilities()\\n\\t{\\n\\t int i;\\n\\t double maxfit;\\n\\t maxfit=fitness[0];\\n\\t for (i=1;i<FoodNumber;i++)\\n\\t {\\n\\t if (fitness[i]>maxfit)\\n\\t maxfit=fitness[i];\\n\\t }\\n\\n\\t for (i=0;i<FoodNumber;i++)\\n\\t {\\n\\t prob[i]=(0.9*(fitness[i]/maxfit))+0.1;\\n\\t }\\n\\n\\t}\",\n \"int[] predictForAllItems(int paraObjectIndex) {\\n//\\t\\tSystem.out.println(\\\"1.2\\\");\\n LinkedListSortedNeighborSet tempNeighborSet = obtainKNeighbors(paraObjectIndex);\\n int[] tempPredictionArray = new int[formalContext.trainingFormalContext[0].length];\\n for (int i = 0; i < formalContext.trainingFormalContext[0].length; i++) {\\n\\n if (formalContext.trainingFormalContext[paraObjectIndex][i] > 0) {\\n continue;\\n } // End if\\n//\\t\\t\\tSystem.out.println(\\\"i: \\\" + i);\\n int tempRatedCount = 0;\\n tempNeighborSet.resetCurrentNode();\\n while ((tempNeighborSet.currentNeighbor != null) && (tempNeighborSet.currentNeighbor.neighborIndex != -1)) {\\n//\\t\\t\\t\\tSystem.out.println(\\\"neighbor: \\\" + tempNeighborSet.currentNeighbor.neighborIndex);\\n if (formalContext.trainingFormalContext[tempNeighborSet.currentNeighbor.neighborIndex][i] > 0) {\\n tempRatedCount++;\\n } // End if\\n tempNeighborSet.currentNeighbor = tempNeighborSet.currentNeighbor.nextNeighbor;\\n } // End while\\n\\n double tempVotingRatio = (tempRatedCount + 0.0) / tempNeighborSet.actualNeighborCount;\\n if (tempVotingRatio >= votingThreshold) {\\n tempPredictionArray[i] = 1;\\n } // End if\\n\\n } // End for i\\n\\n return tempPredictionArray;\\n }\",\n \"public double Predict(int i, int c)\\n\\t{\\n\\t\\tdouble Y_hat_ic = biasW[c];\\n\\n\\t\\tfor(int k = 0; k < K; k++)\\n\\t\\t\\tY_hat_ic += M[i][k] * W[c][k];\\n\\t\\t\\n\\t\\treturn Y_hat_ic;\\n\\t}\",\n \"double getTransProb();\",\n \"public static int fastClassify(Model M, int[][] x){\\n //dont call other classes\\n\\t //look out for terms that you can take out\\n//\\t int d =0;\\n//\\t double joint;\\n//\\t double t= 1.0;\\n//\\t\\tdouble high;\\n//\\t\\t//Double tot1;\\n//\\t\\tdouble higher;\\n//\\t\\tdouble tot =1.0;\\n//\\t\\tdouble tot1= 1.0;\\n//\\t int digit =0;\\n//\\t for(int i=0; i<x.length; i++){\\n//\\t\\tfor(int j=0;j<x[i].length; j++){\\n//\\n//\\t\\t//probability at 0;\\n//\\t\\t\\ttot*=conditionalProbabilityXijgD(M,i,j,x[i][j],0); \\n//\\t\\t \\n//\\t\\t high = M.getPD(0)*tot;\\n//\\t\\t\\twhile(d<10){\\n//\\t\\t\\t\\ttot1*=conditionalProbabilityXijgD(M,i,j,x[i][j],d); \\n//\\t\\t\\t\\thigher = M.getPD(d)*tot1;\\n//\\t\\t\\t\\t\\n//\\t\\t\\t\\tif(high <higher){\\n//\\t\\t\\t\\t\\thigh = higher;\\n//\\t\\t\\t\\t\\tdigit =d;\\n//\\t\\t\\t\\t}\\n//\\t\\t\\t\\td++;\\n//\\t\\t\\t}\\n//\\t\\t \\n//\\t }\\n//\\t \\n//\\t }\\n\\t double high=0.0;\\n\\t int digit =0;\\n\\t int i=0;\\n\\t while(i<10){\\n\\t\\t double tot =jointProbabilityXD(M,x,i);\\n\\t \\t\\n\\t if(high<tot){\\n\\t\\t high=tot;\\n\\t \\t\\tdigit =i; \\n\\t \\t}\\n\\t\\t i++;\\n\\t \\t//System.out.println(0.988809344056389 < 0.011080326918292818);\\n\\t \\n\\t\\t// System.out.println(tot);\\n\\t }\\n\\t return digit;\\n\\t \\n \\n}\",\n \"public void calculateProbabilities(){\\n\\t}\",\n \"private float predictPrueba(float features) {\\n float n_epochs = num_epoch;\\n float num1 = (float) Math.random();\\n float output = 0; //y\\n\\n //First, create an input tensor:\\n /*\\n\\n */\\n\\n\\n //**** TEORIA *******\\n //First, create an input tensor:\\n //Tensor input = Tensor.create(features);\\n // float[][] output = new float[1][1];\\n //Then perform inference by:\\n //Tensor op_tensor = sess.runner().feed(\\\"input\\\", input).fetch(\\\"output\\\").run().get(0).expect(Float.class);\\n //Copy this output to a float array using:\\n //op_tensor.copyTo(output);\\n // values.copyTo(output);\\n Tensor input = Tensor.create(features);\\n Tensor op_tensor = sess.runner().feed(\\\"input\\\",input).fetch(\\\"output\\\").run().get(0).expect(Float.class);\\n //para escribir en la app en W y B test\\n ArrayList<Tensor<?>> values = (ArrayList<Tensor<?>>) sess.runner().fetch(\\\"W/read\\\").fetch(\\\"b/read\\\").run();\\n // NO VA ESTA PRUEBA ArrayList<Tensor<?>> values = (ArrayList<Tensor<?>>) sess.runner().fetch(\\\"W/read\\\").fetch(\\\"b/read\\\").fetch(\\\"y/output\\\").run();\\n\\n Wtest.setText(\\\"W_inicial: \\\"+(Float.toString(values.get(0).floatValue())));\\n Btest.setText(\\\"b_inicial: \\\"+Float.toString(values.get(1).floatValue()));\\n y_mejoras_w.add(((values.get(0).floatValue())));\\n x_mejoras_w.add( \\\"\\\"+(0+ num_epoch*num));\\n\\n y_mejoras_b.add(((values.get(1).floatValue())));\\n x_mejoras_b.add( \\\"\\\"+(0+ num_epoch*num));\\n\\n ///\\n\\n // Y.setText(Float.toString(values.get(1).floatValue()));\\n\\n return output; ///mal\\n }\",\n \"@Override\\n\\tpublic ClassifyResult classify(String[] words) {\\n\\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 ret = new ClassifyResult();\\n\\t\\tret.label = Label.SPORTS;\\n\\t\\tret.log_prob_sports = 0;\\n\\t\\tret.log_prob_business = 0;\\n\\n\\t\\tfor (String w : words) {\\n\\t\\t\\tret.log_prob_sports += Math.log(p_w_given_l(w, Label.SPORTS));\\n\\t\\t\\tret.log_prob_business += Math.log(p_w_given_l(w, Label.BUSINESS));\\n\\t\\t}\\n\\n\\t\\tret.log_prob_sports += Math.log(p_l(Label.SPORTS));\\n\\t\\tret.log_prob_business += Math.log(p_l(Label.BUSINESS));\\n\\n\\t\\tif (ret.log_prob_business > ret.log_prob_sports) {\\n\\t\\t\\tret.label = Label.BUSINESS;\\n\\t\\t}\\n\\n\\t\\treturn ret;\\n\\t}\",\n \"public int predict(Instance instance) {\\r\\n // set the input value in the input nodes from the training instance\\r\\n for (int j = 0; j < instance.attributes.size(); j++) {\\r\\n inputNodes.get(j).setInput(instance.attributes.get(j));\\r\\n }\\r\\n\\r\\n //set the target value in output nodes\\r\\n for (int j = 0; j < instance.classValues.size(); j++) {\\r\\n outputNodes.get(j).setTargetValue((double) instance.classValues.get(j));\\r\\n }\\r\\n\\r\\n // calculate values for hidden nodes\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n // for each hidden node\\r\\n Node hiddenNode = hiddenNodes.get(j);\\r\\n hiddenNode.calculateOutput();\\r\\n }\\r\\n\\r\\n double sumOfExponents = 0.0;\\r\\n //calculate values for output nodes\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n // for each output node\\r\\n Node outputNode = outputNodes.get(j);\\r\\n outputNode.calculateOutput();\\r\\n sumOfExponents += outputNode.getOutput();\\r\\n }\\r\\n\\r\\n //update output values of output nodes\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n outputNode.updateOutputValue(sumOfExponents);\\r\\n }\\r\\n\\r\\n int index = 0;\\r\\n double maxValue = outputNodes.get(0).getOutput();\\r\\n for (int j = 1; j < outputNodes.size(); j++) {\\r\\n if (outputNodes.get(j).getOutput() > maxValue) {\\r\\n maxValue = outputNodes.get(j).getOutput();\\r\\n index = j;\\r\\n }\\r\\n }\\r\\n\\r\\n return index;\\r\\n }\",\n \"public double getObjective() {\\n return multiClassClassifierObj() + binaryObj();\\n// +(1-temperature)*getEntropy();\\n }\",\n \"private int postprocess() {\\n // Index with highest probability\\n int maxIndex = -1;\\n float maxProb = 0.0f;\\n for (int i = 0; i < outputArray[0].length; i++) {\\n if (outputArray[0][i] > maxProb) {\\n maxProb = outputArray[0][i];\\n maxIndex = i;\\n }\\n }\\n return maxIndex;\\n }\",\n \"private void trainPerceptrons(){\\n double activationValues[] = new double[4];\\n for(Image image:asciiReader.getTrainingImages()){\\n for (int j = 0 ; j < activationValues.length; j++){\\n activationValues[j] = activationFunction\\n .apply(sumWeights(j,image));\\n }\\n adjustWeights(activationValues,image);\\n }\\n }\",\n \"default double[] predictAssignmentProbs(Vector vector, List<MultiLabel> assignments){\\n return Arrays.stream(predictLogAssignmentProbs(vector, assignments)).map(Math::exp).toArray();\\n }\",\n \"@Override\\n public double classify(String[] words) {\\n if (words == null || words.length == 0) {\\n throw new IllegalArgumentException(\\\"words must not be null or empty\\\");\\n }\\n return Activation.SIGMOID.apply(bias + dotProduct(words));\\n }\",\n \"public List<Recognition> classifyImage(final float[] tensorFlowOutput, final List<String> labels) {\\n int numClass = (int) (tensorFlowOutput.length / (Math.pow(NUMBER_OF_BOXES, 2) * NUMBER_OF_BOUNDING_BOXES) - 5);\\n BoundingBox[][][] boundingBoxPerCell = new BoundingBox[NUMBER_OF_BOXES][NUMBER_OF_BOXES][NUMBER_OF_BOUNDING_BOXES];\\n PriorityQueue<Recognition> priorityQueue = new PriorityQueue<>(MAX_RECOGNIZED_CLASSES, new RecognitionComparator());\\n\\n int offset = 0;\\n for (int cy = 0; cy < NUMBER_OF_BOXES; cy++) { // SIZE * SIZE cells\\n for (int cx = 0; cx < NUMBER_OF_BOXES; cx++) {\\n for (int b = 0; b < NUMBER_OF_BOUNDING_BOXES; b++) { // 5 bounding boxes per each cell\\n boundingBoxPerCell[cx][cy][b] = getBoundingBox(tensorFlowOutput, cx, cy, b, numClass, offset);\\n calculateTopPredictions(boundingBoxPerCell[cx][cy][b], priorityQueue, labels);\\n offset = offset + numClass + 5;\\n }\\n }\\n }\\n\\n return getRecognition(priorityQueue);\\n }\",\n \"private Map.Entry<Activity, Prediction> chooseBestPrediction(Map<Activity, Prediction> predictions) {\\n \\n Map.Entry<Activity, Prediction> prediction = null;\\n int result1, result2, lastIndex;\\n double probability1, probability2;\\n \\n \\n for (Map.Entry<Activity, Prediction> entry : predictions.entrySet()) {\\n \\n if (prediction == null) {\\n prediction = entry;\\n } else {\\n lastIndex = prediction.getValue().getObservations().length - 1;\\n \\n result1 = prediction.getValue().getPredictions()[lastIndex];\\n probability1 = prediction.getValue().getProbability();\\n result2 = entry.getValue().getPredictions()[lastIndex];\\n probability2 = entry.getValue().getProbability();\\n \\n /*a result 1 means that an activity has been detected,\\n * thus we prefer a result that predicts an activity*/\\n if (result2 == 1 && result1 == 0)\\n prediction = entry;\\n \\n /* if both predict an activity, or don't predict anything then\\n * we take the probability into consideration */\\n if (result1 == result2) {\\n if (probability2 > probability1)\\n prediction = entry;\\n }\\n \\n }\\n \\n }\\n \\n return prediction;\\n \\n }\",\n \"S predictScores(P preProcInputs);\",\n \"public Skills getSkillPrediction();\",\n \"public Action getActionBasedOnValueSoftmax(final State state, final double epsilon, final double temperature) {\\r\\n final double decision = Math.random();\\r\\n final List<Action> allActions = new LinkedList<Action>();\\r\\n final List<Action> bestActions = new LinkedList<Action>();\\r\\n double bestValue = Integer.MIN_VALUE;\\r\\n\\r\\n // Determine the best action(s)\\r\\n for (final Map.Entry<Action, Double> actionValue : getProperties(state).getActionValues().entrySet()) {\\r\\n final Action action = actionValue.getKey();\\r\\n final double value = actionValue.getValue();\\r\\n\\r\\n allActions.add(action);\\r\\n\\r\\n if (value > bestValue) {\\r\\n bestActions.clear();\\r\\n bestValue = value;\\r\\n }\\r\\n if (value >= bestValue) {\\r\\n bestActions.add(action);\\r\\n }\\r\\n }\\r\\n\\r\\n if (decision > epsilon || allActions.size() == bestActions.size()) {\\r\\n // Pick a best action\\r\\n return bestActions.get((int) Math.floor(Math.random() * bestActions.size()));\\r\\n\\r\\n } else {\\r\\n final Map<Action, Double> actionValues = getProperties(state).getActionValues();\\r\\n\\r\\n // Determine the sum of Softmax values for the actions\\r\\n double softmaxSum = 0;\\r\\n for (final double value : actionValues.values()) {\\r\\n softmaxSum += Math.exp(value / temperature);\\r\\n }\\r\\n\\r\\n // Make sure that we've got a valid sum\\r\\n if (softmaxSum == Double.POSITIVE_INFINITY) {\\r\\n throw new RuntimeException(\\\"The temperature for softmax is likely too low. \\\"\\r\\n + \\\"The predator seems to be freezing! (Dohohh! Funny jokes...)\\\");\\r\\n }\\r\\n\\r\\n // Pick a random action based on the Softmax probabilities\\r\\n double decisionCount = 0;\\r\\n for (final Map.Entry<Action, Double> actionValue : actionValues.entrySet()) {\\r\\n final Action action = actionValue.getKey();\\r\\n final double value = actionValue.getValue();\\r\\n\\r\\n decisionCount += Math.exp(value / temperature) / softmaxSum;\\r\\n\\r\\n if (decisionCount >= decision) {\\r\\n return action;\\r\\n }\\r\\n }\\r\\n }\\r\\n\\r\\n return null;\\r\\n }\",\n \"public void Prediction() {\\n System.out.println(\\\"\\\\nInput an x value: \\\");\\n double x = inputs.nextDouble();\\n double y = this.B0 + (this.B1 * x);\\n System.out.println(\\\"The prediction made with \\\" + x + \\\" as the x value is: \\\" + y);\\n System.out.println(\\\"\\\\nWhere y = B0 + (B1*xi) is substituted by:\\\\n y = \\\" + B0 + \\\" + (\\\" + B1 + \\\" * \\\" + x + \\\" )\\\\n\\\");\\n }\",\n \"int getClassIdSigmoidParametersMapCount();\",\n \"public static Map<String, Object> l_LAYER_MODEL_MultiClassClassifications_SoftMax(\\r\\n\\t\\t\\tdouble[][] X, double[][] Y, int[] layerDimenstions,\\r\\n\\t\\t\\tdouble learningRate, int numOfIterations,\\r\\n\\t\\t\\tDeepNNOptimizers optimizer, DeepNNRegularizor regulizer,\\r\\n\\t\\t\\tdouble dropOutThreshold, boolean iprintCost) throws Exception {\\r\\n\\r\\n\\t\\tMatrixUtil.setSeed(IPredictionModelConstants.RANDOM_SEED_FOR_REPRODUCIBILITY);\\r\\n\\r\\n\\t\\t\\r\\n\\t\\tint m = X[0].length;\\r\\n\\t\\tMap<String, Object> parameters = null;\\r\\n\\t\\tMap<Enum<DeepNNKeysForMaps>, Object> AdamParameters = null;\\r\\n\\t\\tMap<String, Object> grads = null;\\r\\n\\t\\tMap<String, Object> actCaches = null;\\r\\n\\t\\tMap<String, Object> feedForwardResult = null;\\r\\n\\t\\tdouble[][] AL = null;\\r\\n\\t\\tMap<DeepNNKeysForMaps, Object> oneHotMatrixresult = null;\\r\\n\\t\\tdouble cost = 0.0, costDifference = 0.0, previousCost = Double.MIN_VALUE;\\r\\n\\t\\tdouble finalPrecision = 0.0, beta1 = 0.9, beta2 = 0.99, adamt = 2;\\r\\n\\r\\n\\t\\toneHotMatrixresult = MatrixUtil.createOneHotVectorMatrix(Y);\\r\\n\\t\\tdouble[][] Y_OneHot = (double[][]) oneHotMatrixresult\\r\\n\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_ONE_HOT_MATRIX);\\r\\n\\t\\tMap<Double, double[]> labeltoOnhotVectorMap = (Map<Double, double[]>) oneHotMatrixresult\\r\\n\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_LABEL_TO_ONE_HOT);\\r\\n\\r\\n\\t\\tX = MatrixUtil.T(X);\\r\\n\\t\\t// np.printshapes(X,Y_OneHot);\\r\\n\\t\\tY_OneHot = MatrixUtil.T(Y_OneHot);\\r\\n\\t\\tlayerDimenstions[layerDimenstions.length - 1] = labeltoOnhotVectorMap\\r\\n\\t\\t\\t\\t.size();\\r\\n\\t\\tparameters = DNNUtils.initializeParameterDeep(layerDimenstions, m,\\r\\n\\t\\t\\t\\tParameterInitializationType.BENGIO);\\r\\n\\t\\tint L = parameters.size() / 2;\\r\\n\\r\\n\\t\\tif (optimizer == DeepNNOptimizers.ADAM) {\\r\\n\\t\\t\\tAdamParameters = DNNUtils.initializeAdamParameters(parameters);\\r\\n\\t\\t\\tbeta1 = 0.9;\\r\\n\\t\\t\\tbeta2 = 0.999;\\r\\n\\t\\t\\tadamt = 2;\\r\\n\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tfor (int i = 0; ((i < numOfIterations)); i++) {\\r\\n\\r\\n\\t\\t\\tfeedForwardResult = DNNUtils\\r\\n\\t\\t\\t\\t\\t.L_model_forward_multiClass_classification(X, parameters);\\r\\n\\t\\t\\tactCaches = (Map<String, Object>) feedForwardResult.get(String\\r\\n\\t\\t\\t\\t\\t.valueOf(\\\"actCache_\\\" + (L)));\\r\\n\\t\\t\\tAL = (double[][]) actCaches.get(String.valueOf(\\\"A\\\"));\\r\\n\\t\\t\\tcost = DNNUtils.sparse_categorial_crossentropy(m, Y_OneHot, AL);\\r\\n\\t\\t\\tcostDifference = cost - previousCost;\\r\\n\\t\\t\\tpreviousCost = cost;\\r\\n\\t\\t\\t// cost = RnnUtils.cross_entropy(m, Y_OneHot, AL);\\r\\n\\t\\t\\t//seriesData.add((i + 1), cost);\\r\\n\\t\\t\\t//\\r\\n\\t\\t\\tgrads = DNNUtils.L_model_backward_MultiClass_Classification(AL,\\r\\n\\t\\t\\t\\t\\tY_OneHot, feedForwardResult); // here i\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// should\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// pass both\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// cashes;\\r\\n\\t\\t\\tif (optimizer == DeepNNOptimizers.ADAM) {\\r\\n\\t\\t\\t\\tAdamParameters = DNNUtils.updateParametersWithAdams(parameters,\\r\\n\\t\\t\\t\\t\\t\\tgrads, AdamParameters, adamt, learningRate, beta1,\\r\\n\\t\\t\\t\\t\\t\\tbeta2, IPredictionModelConstants.EPSILON);\\r\\n\\t\\t\\t\\tparameters = (Map<String, Object>) AdamParameters\\r\\n\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_NN_PARAMETERS);\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tparameters = DNNUtils.updateParametersWithGD(parameters, grads,\\r\\n\\t\\t\\t\\t\\t\\tlearningRate);\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\tif (i % 400 == 0 && iprintCost) {\\r\\n\\t\\t\\t\\tlearningRate = learningRate / 2;\\r\\n\\t\\t\\t\\tMatrixUtil.print(\\\"==============\\\");\\r\\n\\t\\t\\t\\tMatrixUtil.print(\\\"Cost = \\\" + cost);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tfinalPrecision = DNNUtils.accuracyForMultiClassClassification(\\r\\n\\t\\t\\t\\t\\t\\tAL, Y_OneHot);\\r\\n\\t\\t\\t\\t// np.printshapes(AL, Y_OneHot);\\r\\n\\t\\t\\t\\tMatrixUtil.print(\\\"Predicted multiclass classification precision= \\\"\\r\\n\\t\\t\\t\\t\\t\\t+ finalPrecision);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tif (Math.abs(costDifference) < IPredictionModelConstants.EPSILON) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t}\\r\\n\\t\\r\\n\\t\\treturn parameters;\\r\\n\\t}\",\n \"@Override\\n\\tpublic int predict(int[] ex) {\\n\\t\\tdouble sum = 0.0; \\n\\t\\tint prediction;\\n\\t\\tfor (int currentRound = 0; currentRound < this.numberRounds; currentRound++){\\n\\t\\t\\tif (this.dSC[this.hypothesis[currentRound]].predict(ex) == 0)\\n\\t\\t\\t\\tprediction = -1;\\n\\t\\t\\telse \\n\\t\\t\\t\\tprediction = 1;\\n\\t\\t\\tsum += this.alpha[currentRound] * prediction; \\n\\t\\t}\\n\\t\\tif (sum > 0)\\n\\t\\t\\treturn 1;\\n\\t\\treturn 0;\\n\\t}\",\n \"public float getSpecialProb() {\\n return specialProb_;\\n }\",\n \"public float getSpecialProb() {\\n return specialProb_;\\n }\",\n \"public double getNumberOfCorrectlyClassified() {\\n\\t\\treturn numberOfTruePositives + numberOfTrueNegatives;\\n\\t}\",\n \"@Override\\n public double classifyInstance(Instance instance) throws Exception {\\n\\n\\n\\n int numAttributes = instance.numAttributes();\\n int clsIndex = instance.classIndex();\\n boolean hasClassAttribute = true;\\n int numTestAtt = numAttributes -1;\\n if (numAttributes == m_numOfInputNeutrons) {\\n hasClassAttribute = false; // it means the test data doesn't has class attribute\\n numTestAtt = numTestAtt+1;\\n }\\n\\n for (int i = 0; i< numAttributes; i++){\\n if (instance.attribute(i).isNumeric()){\\n\\n double max = m_normalization[0][i];\\n double min = m_normalization[1][i];\\n double normValue = 0 ;\\n if (instance.value(i)<min) {\\n normValue = 0;\\n m_normalization[1][i] = instance.value(i); // reset the smallest value\\n }else if(instance.value(i)> max){\\n normValue = 1;\\n m_normalization[0][i] = instance.value(i); // reset the biggest value\\n }else {\\n if (max == min ){\\n if (max == 0){\\n normValue = 0;\\n }else {\\n normValue = max/Math.abs(max);\\n }\\n }else {\\n normValue = (instance.value(i) - min) / (max - min);\\n }\\n }\\n instance.setValue(i, normValue);\\n }\\n }\\n\\n double[] testData = new double[numTestAtt];\\n\\n\\n\\n\\n\\n int index = 0 ;\\n\\n if (!hasClassAttribute){\\n\\n for (int i =0; i<numAttributes; i++) {\\n testData[i] = instance.value(i);\\n }\\n }else {\\n for (int i = 0; i < numAttributes; i++) {\\n\\n if (i != clsIndex) {\\n\\n testData[index] = instance.value(i);\\n\\n index++;\\n }\\n }\\n }\\n\\n\\n\\n DenseMatrix prediction = new DenseMatrix(numTestAtt,1);\\n for (int i = 0; i<numTestAtt; i++){\\n prediction.set(i, 0, testData[i]);\\n }\\n\\n DenseMatrix H_test = generateH(prediction,weightsOfInput,biases, 1);\\n\\n DenseMatrix H_test_T = new DenseMatrix(1, m_numHiddenNeurons);\\n\\n H_test.transpose(H_test_T);\\n\\n DenseMatrix output = new DenseMatrix(1, m_numOfOutputNeutrons);\\n\\n H_test_T.mult(weightsOfOutput, output);\\n\\n double result = 0;\\n\\n if (m_typeOfELM == 0) {\\n double value = output.get(0,0);\\n result = value*(m_normalization[0][classIndex]-m_normalization[1][classIndex])+m_normalization[1][classIndex];\\n //result = value;\\n if (m_debug == 1){\\n System.out.print(result + \\\" \\\");\\n }\\n }else if (m_typeOfELM == 1){\\n int indexMax = 0;\\n double labelValue = output.get(0,0);\\n\\n if (m_debug == 1){\\n System.out.println(\\\"Each instance output neuron result (after activation)\\\");\\n }\\n for (int i =0; i< m_numOfOutputNeutrons; i++){\\n if (m_debug == 1){\\n System.out.print(output.get(0,i) + \\\" \\\");\\n }\\n if (output.get(0,i) > labelValue){\\n labelValue = output.get(0,i);\\n indexMax = i;\\n }\\n }\\n if (m_debug == 1){\\n\\n System.out.println(\\\"//\\\");\\n System.out.println(indexMax);\\n }\\n result = indexMax;\\n }\\n\\n\\n\\n return result;\\n\\n\\n }\",\n \"public static int classify(Model M, int[][] x){\\n\\t // Double high =jointProbabilityXD(M,x,0)/marginalProbabilityX(M,x);\\n\\t double high=0.0;\\n\\t int digit =0;\\n\\t int i=0;\\n\\t while(i<10){\\n\\t\\t double tot =conditionalProbabilityDgX( M, i, x);\\n\\t \\t\\n\\t if(high<tot){\\n\\t\\t high=tot;\\n\\t \\t\\tdigit =i; \\n\\t \\t}\\n\\t\\t i++;\\n\\t \\t//System.out.println(0.988809344056389 < 0.011080326918292818);\\n\\t \\n\\t\\t// System.out.println(tot);\\n\\t }\\n\\t return digit;\\n }\",\n \"double predict(Vector w);\",\n \"double[] calculateProbabilities(LACInstance testInstance) throws Exception\\n\\t{\\n\\t\\tdouble[] probs;\\n\\t\\tdouble[] scores = calculateScores(testInstance);\\n\\t\\t\\n\\t\\tif(scores != null)\\n\\t\\t{\\n\\t\\t\\tprobs = new double[scores.length];\\n\\t\\t\\tdouble scoreSum = 0.0;\\n\\t\\t\\tfor (int i = 0; i < scores.length; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tscoreSum += scores[i];\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tfor (int i = 0; i < scores.length; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tprobs[i] = scores[i] / scoreSum;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tSet<Integer> allClasses = trainingSet.getAllClasses();\\n\\t\\t\\tprobs = new double[allClasses.size()];\\n\\t\\t\\tfor (Integer clazz : allClasses) \\n\\t\\t\\t{\\n\\t\\t\\t\\tdouble count = trainingSet.getInstancesOfClass(clazz).size();\\n\\t\\t\\t\\tprobs[clazz] = (count / ((double) trainingSet.length()));\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn probs ;\\n\\t}\",\n \"@Override\\n\\tpublic void computeFinalProbabilities() {\\n\\t\\tsuper.computeFinalProbabilities();\\n\\t}\",\n \"public House getPredicted() {\\r\\n return this.predicted;\\r\\n }\",\n \"Classifier getClassifier();\",\n \"abstract Vec predict(Vec in);\",\n \"@JSProperty(\\\"softMax\\\")\\n double getSoftMax();\",\n \"private double[] classify(ArrayList<Product> newData,\\n\\t\\t\\tArrayList<Product> trainData) {\\n\\t\\tdouble[] labels = new double[newData.size()];\\n\\t\\tfor (int i = 0; i < newData.size(); i++) {\\n\\t\\t\\tSim[] kNearest = findNeighbors(newData.get(i), trainData, k);\\n\\t\\t\\tdouble weightedVal = 0;\\n\\t\\t\\tdouble sumWeight = 0;\\n\\t\\t\\tfor (Sim sim : kNearest) {\\n\\t\\t\\t\\tweightedVal += (sim.getSim() * sim.getProduct().label);\\n\\t\\t\\t\\tsumWeight += sim.getSim();\\n\\t\\t\\t}\\n\\n\\t\\t\\tDecimalFormat df = new DecimalFormat(\\\".00\\\");\\n\\t\\t\\tdouble formattedLabel = Double.parseDouble(df.format(weightedVal\\n\\t\\t\\t\\t\\t/ sumWeight));\\n\\t\\t\\tlabels[i] = formattedLabel;\\n\\t\\t}\\n\\t\\treturn labels;\\n\\t}\",\n \"private double infobits(double[] probs) {\\r\\n\\t\\tdouble sum = 0;\\r\\n\\t\\tfor (int i = 0; i < probs.length; i++) {\\r\\n\\t\\t\\tsum += entropy(probs[i]);\\r\\n\\t\\t}\\r\\n\\t\\treturn sum;\\r\\n\\t}\",\n \"@java.lang.Override\\n public int getPredictionsCount() {\\n return predictions_.size();\\n }\",\n \"private void evaluateProbabilities()\\n\\t{\\n\\t}\",\n \"public static Double[] learnSimplePerceptronRound2(Data data1[],int index,double LearningRate,Double w[],HashMap<Integer, Integer> words)\\r\\n \\t{\\r\\n \\t\\t//Double w[] = new Double[20]; \\r\\n \\t/*\\tDouble min =-0.01; // Set To Your Desired Min Value\\r\\n\\t Double max = 0.01;\\r\\n \\t\\tdouble smallRandNumber = min + new Random().nextDouble() * (max - min); \\r\\n \\t\\tArrays.fill(w, smallRandNumber);*/\\r\\n \\t\\t\\r\\n \\t\\tData data[] = Arrays.copyOf(data1,index);\\r\\n \\t\\t\\r\\n \\t\\t//shuffle the data..\\r\\n \\t \\tArrayList<Data> arrayList = new ArrayList<Data>(Arrays.asList(Arrays.copyOf(data,index))); \\r\\n \\t\\tCollections.shuffle(arrayList,new Random(10));\\r\\n \\t\\tdata = arrayList.toArray(new Data[arrayList.size()]);\\r\\n \\t\\tfor(int i=0;i<index;i++)\\r\\n \\t\\t{\\r\\n \\t\\t\\tdouble trueLabel;\\r\\n \\t\\t\\tdouble predictedLabel;\\r\\n \\t\\t\\tdouble dotProduct_wT_x = 0.0f;\\r\\n \\t\\t\\tHashMap<Integer, Double> x = new HashMap<Integer, Double>();\\r\\n \\t\\t \\r\\n \\t\\t\\ttrueLabel = data[i].getY();\\r\\n \\t\\t\\tx= data[i].getX();\\r\\n \\t\\t\\tboolean correct=false;\\r\\n \\t\\t\\t// loop till its corrects..\\r\\n \\t\\t\\t\\r\\n \\t\\t\\twhile(correct==false)\\r\\n \\t\\t\\t{\\r\\n \\t\\t\\t//wT*x (contains bias)\\r\\n \\t\\t\\tfor (Map.Entry<Integer, Double> entry : x.entrySet()) {\\r\\n \\t\\t\\t\\tdotProduct_wT_x = dotProduct_wT_x + w[entry.getKey()] * entry.getValue();\\r\\n \\t\\t\\t}\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t//predict the label\\r\\n \\t\\t\\tif(dotProduct_wT_x < 0)\\r\\n \\t\\t\\t\\tpredictedLabel = -1;\\r\\n \\t\\t\\telse\\t\\r\\n \\t\\t\\t\\tpredictedLabel = +1;\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t//check if prediction is correct, if not update the weight vector and bias.\\r\\n \\t\\t\\tif(predictedLabel != trueLabel)\\r\\n \\t\\t//\\tif(dotProduct_wT_x<0)\\r\\n \\t\\t\\t{\\r\\n \\t\\t\\t\\t//update bias\\r\\n \\t\\t\\t\\tw[0]=w[0]+trueLabel*LearningRate;\\r\\n \\t\\t\\t\\t\\r\\n \\t\\t\\t\\t//update all other weights only if those words are worthy tracking\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t\\tfor(int j=1;j<w.length;j++)\\r\\n \\t\\t\\t\\t{\\r\\n \\t\\t\\t\\t\\t// if(x.containsKey(j))\\r\\n \\t\\t\\t\\t if(x.containsKey(j))\\r\\n \\t\\t\\t\\t//\\t if(words.containsKey(j)) //give more weightage to words that matter\\r\\n \\t\\t\\t//\\t\\t\\t\\tw[j]=w[j]+LearningRate*trueLabel*(x.get(j));\\r\\n \\t\\t\\t\\t//\\t else\\r\\n\\t\\t\\t\\t\\t\\t\\tw[j]=w[j]+LearningRate*trueLabel*x.get(j);\\r\\n\\r\\n \\t\\t\\t\\t//\\telse\\r\\n \\t\\t\\t//\\t\\t\\tw[j]=(double)0;\\r\\n \\t\\t\\t\\t}\\r\\n \\t\\t\\t}\\r\\n \\t\\t\\telse\\r\\n \\t\\t\\t\\tcorrect=true;\\r\\n \\t\\t }\\r\\n \\t\\t}\\r\\n \\t\\treturn w;\\r\\n \\t}\",\n \"private double[][] forwardPropogate(double[][] inputs, double[][] weights) {\\n\\t\\tdouble[][] resultLayer = m.dot(inputs, weights);\\n\\t\\tsigmoid(resultLayer);\\n\\t\\treturn resultLayer;\\n\\t}\",\n \"protected float computeModelScoreOnTraining() {\\n/* 508 */ float s = computeModelScoreOnTraining(0, this.samples.size() - 1, 0);\\n/* 509 */ s /= this.samples.size();\\n/* 510 */ return s;\\n/* */ }\",\n \"public double getNumberOfPredictedPositive() {\\n\\t\\treturn numberOfTruePositives + numberOfFalsePositives;\\n\\t}\",\n \"double getExtremeSpikeProbability();\",\n \"private List<Double> computeAllUnitsProbabilitiesFromHiddenLayer(List<Double> sample) {\\n return Stream.iterate(0, j -> j = j + 1)\\n .limit(cfg.numhid)\\n .map(j -> equation3.evaluate(j, sample))\\n .collect(toList());\\n }\",\n \"public void test2 (List<List<String>> sentences) {\\n double totalLogProb = 0;\\n double totalNumTokens = 0;\\n for (List<String> sentence : sentences) {\\n totalNumTokens += sentence.size();\\n double sentenceLogProb = sentenceLogProb2(sentence);\\n totalLogProb += sentenceLogProb;\\n }\\n double perplexity = Math.exp(-totalLogProb / totalNumTokens);\\n System.out.println(\\\"Word Perplexity = \\\" + perplexity );\\n }\",\n \"public double[] getClassProbByClassification(Features features,\\r\\n\\t\\t\\tFileOneByOneLineWriter writer) {\\r\\n\\t\\tdouble[] logps = new double[2];\\r\\n\\t\\tfor (Feature feature : features) {\\r\\n\\t\\t\\tString featureStr = feature.featureStr;\\r\\n\\t\\t\\tif (!featureIndexerAllDomains.containsFeatureStr(featureStr)) {\\r\\n\\t\\t\\t\\tcontinue;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tint featureId = featureIndexerAllDomains\\r\\n\\t\\t\\t\\t\\t.getFeatureIdGivenFeatureStr(featureStr);\\r\\n\\t\\t\\tdouble[] tokenCounts = x[featureId];\\r\\n\\t\\t\\tif (tokenCounts == null) {\\r\\n\\t\\t\\t\\tcontinue;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tfor (int catIndex = 0; catIndex < mCategories.length; ++catIndex) {\\r\\n\\t\\t\\t\\tlogps[catIndex] += com.aliasi.util.Math\\r\\n\\t\\t\\t\\t\\t\\t.log2(probTokenByIndexArray(catIndex, tokenCounts));\\r\\n\\t\\t\\t\\twriter.writeLine(featureStr + \\\" : \\\"\\r\\n\\t\\t\\t\\t\\t\\t+ probTokenByIndexArray(catIndex, tokenCounts));\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\tfor (int catIndex = 0; catIndex < 2; ++catIndex) {\\r\\n\\t\\t\\tlogps[catIndex] += com.aliasi.util.Math\\r\\n\\t\\t\\t\\t\\t.log2(getProbOfClass(catIndex));\\r\\n\\t\\t}\\r\\n\\t\\treturn logJointToConditional(logps);\\r\\n\\t}\",\n \"public Prediction apply( double[] confidence );\",\n \"public void prediction() {\\n\\t\\txPriorEstimate = xPreviousEstimate;\\n\\t\\tpPriorCovarianceError = pPreviousCovarianceError;\\n\\t}\",\n \"public double getProbability() {\\r\\n\\t\\treturn Probability;\\r\\n\\t}\",\n \"@Override\\n\\tpublic double probability() {\\n\\t\\treturn 0;\\n\\n\\t}\",\n \"private double activationFunction(double input){\\n double temp = 1 + Math.exp(-1 * input * this.sigmoidFactor);\\n double result = (double)1/temp;\\n return result;\\n }\",\n \"@Override\\n\\tpublic double predict(SparseVector instance) {\\n\\t\\treturn predict(instance, this.weights);\\n\\t}\",\n \"public void trainBernoulli() {\\t\\t\\n\\t\\tMap<String, Cluster> trainingDataSet = readFile(trainLabelPath, trainDataPath, \\\"training\\\");\\n\\t\\tMap<String, Cluster> testingDataSet = readFile(testLabelPath, testDataPath, \\\"testing\\\");\\n\\n\\t\\t// do testing, if the predicted class and the gold class is not equal, increment one\\n\\t\\tdouble error = 0;\\n\\n\\t\\tdouble documentSize = 0;\\n\\n\\t\\tSystem.out.println(\\\"evaluate the performance\\\");\\n\\t\\tfor (int testKey = 1; testKey <= 20; testKey++) {\\n\\t\\t\\tCluster testingCluster = testingDataSet.get(Integer.toString(testKey));\\n\\t\\t\\tSystem.out.println(\\\"Cluster: \\\"+testingCluster.toString());\\n\\n\\t\\t\\tfor (Document document : testingCluster.getDocuments()) {\\n\\t\\t\\t\\tdocumentSize += 1; \\n\\t\\t\\t\\tList<Double> classprobability = new ArrayList<Double>();\\n\\t\\t\\t\\tMap<String, Integer> testDocumentWordCounts = document.getWordCount();\\n\\n\\t\\t\\t\\tfor (int classindex = 1; classindex <= 20; classindex++) {\\n\\t\\t\\t\\t\\t// used for calculating the probability\\n\\t\\t\\t\\t\\tCluster trainCluster = trainingDataSet.get(Integer.toString(classindex));\\n\\t\\t\\t\\t\\t// System.out.println(classindex + \\\" \\\" + trainCluster.mClassId);\\n\\t\\t\\t\\t\\tMap<String, Double> bernoulliProbability = trainCluster.bernoulliProbabilities;\\n\\t\\t\\t\\t\\tdouble probability = Math.log(trainCluster.getDocumentSize()/trainDocSize);\\n\\t\\t\\t\\t\\tfor(int index = 1; index <= voc.size(); index++ ){\\n\\n\\t\\t\\t\\t\\t\\t// judge whether this word is stop word \\n\\t\\t\\t\\t\\t\\tboolean isStopwords = englishStopPosition.contains(index);\\n\\t\\t\\t\\t\\t\\tif (isStopwords) continue;\\n\\n\\t\\t\\t\\t\\t\\tboolean contain = testDocumentWordCounts.containsKey(Integer.toString(index));\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tif (contain) {\\n\\t\\t\\t\\t\\t\\t\\tprobability += Math.log(bernoulliProbability.get(Integer.toString(index)));\\n\\t\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\t\\tprobability += Math.log(1 - bernoulliProbability.get(Integer.toString(index)));\\n\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t// put the probability into the map for the specific class\\n\\t\\t\\t\\t\\tclassprobability.add(probability);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tObject obj = Collections.max(classprobability);\\n\\t\\t\\t\\t// System.out.println(classprobability);\\n\\t\\t\\t\\tString predicte_class1 = obj.toString();\\n\\t\\t\\t\\t// System.out.println(predicte_class1);\\n\\t\\t\\t\\t// System.out.println(Double.parseDouble(predicte_class1));\\n\\t\\t\\t\\tint index = classprobability.indexOf(Double.parseDouble(predicte_class1));\\n\\t\\t\\t\\t// System.out.println(index);\\n\\t\\t\\t\\tString predicte_class = Integer.toString(index + 1);\\n\\n\\n\\t\\t\\t\\tconfusion_matrix[testKey - 1][index] += 1;\\n\\n\\t\\t\\t\\t// System.out.println(document.docId + \\\": G, \\\" + testKey + \\\"; P: \\\" + predicte_class);\\n\\t\\t\\t\\tif (!predicte_class.equals(Integer.toString(testKey))) {\\n\\t\\t\\t\\t\\terror += 1;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\tSystem.out.println(\\\"the error is \\\" + error + \\\"; the document size : \\\" + documentSize);\\n\\t\\t}\\n\\n\\t\\tSystem.out.println(\\\"the error is \\\" + error + \\\"; the document size : \\\" + documentSize + \\\" precision rate : \\\" + (1 - error/documentSize));\\n\\n\\t\\t// print confusion matrix\\n\\t\\tprintConfusionMatrix(confusion_matrix);\\n\\t}\",\n \"@Override\\n\\tpublic double getFinalBestTargetValue() {\\n\\t\\treturn 0;\\n\\t}\",\n \"public double train(ExampleInput input, ExampleOutput output,\\n\\t\\t\\tExampleOutput predicted);\",\n \"@Override\\n\\tpublic void learnPrior(Object[] data, double[] prob) {\\n\\t\\tint[][] learningData = new int[data.length][];\\n\\t\\tfor(int i = 0; i < data.length; i++) {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tlearningData[i] = (int[])data[i];\\n\\t\\t\\t} catch (ClassCastException e) {\\n\\t\\t\\t\\tthrow new ClassCastException(\\\"only accept int[][] data type\\\");\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tthis.learnParameters(learningData);\\n\\t\\tfor(int i = 0; i < this.getMixtureSize(); i++) {\\n DirichletDistrib dirichlet = (DirichletDistrib)this.getDistrib(i); \\n System.arraycopy(dirichlet.getAlpha(), 0, alpha[i], 0, this.getDomain().size());\\n m[i] = this.getWeights(i);\\n\\t\\t}\\n\\t}\",\n \"public abstract int predict(double[] testingData);\",\n \"@Override\\n public Classification<F, C> classify(Collection<F> features) {\\n SortedSet<Classification<F, C>> probabilites = this.categoryProbabilities(features);\\n\\n if (probabilites.size() > 0) {\\n return probabilites.last();\\n }\\n return null;\\n }\",\n \"private void forwardPropagation(int[] trainingData, double[] activationsOfHiddenLayer, double[] outputActivations) {\\n\\t\\tdouble[] hiddenActivations = new double[SIZE_HIDDEN_LAYER];\\n\\n\\t\\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\\n\\t\\t\\thiddenActivations[indexHidden] = 0;\\n\\t\\t\\tfor(int indexInput = 0; indexInput < SIZE_INPUT_LAYER; indexInput++) {\\n\\t\\t\\t\\thiddenActivations[indexHidden] += weightsOfHiddenLayer[indexHidden][indexInput] * trainingData[indexInput];\\n\\t\\t\\t}\\t\\n\\t\\t\\thiddenActivations[indexHidden] += biasOfHiddenLayer[indexHidden];\\n//\\t\\t\\t// We then call the activation function \\n\\t\\t\\thiddenActivations[indexHidden] = tanh(hiddenActivations[indexHidden]);\\n\\t\\t\\tactivationsOfHiddenLayer[indexHidden] = hiddenActivations[indexHidden];\\n\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\tfor(int indexOuput = 0; indexOuput < SIZE_OUTPUT_LAYER; indexOuput++) {\\n\\t\\t\\toutputActivations[indexOuput] = 0;\\n\\t\\t\\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden ++) {\\n\\t\\t\\t\\toutputActivations[indexOuput] += weightsOfOutputLayer[indexOuput][indexHidden] * hiddenActivations[indexHidden];\\n\\t\\t\\t}\\t\\n\\t\\t\\toutputActivations[indexOuput] += biasOfOutputLayer[indexOuput];\\n\\t\\t}\\n\\t\\tsoftmax(outputActivations);\\t\\n\\t}\",\n \"java.lang.String getPredicted();\",\n \"public void classify() {\\n\\t\\ttry {\\n\\t\\t\\tdouble pred = classifier.classifyInstance(instances.instance(0));\\n\\t\\t\\tSystem.out.println(\\\"===== Classified instance =====\\\");\\n\\t\\t\\tSystem.out.println(\\\"Class predicted: \\\" + instances.classAttribute().value((int) pred));\\n\\t\\t}\\n\\t\\tcatch (Exception e) {\\n\\t\\t\\tSystem.out.println(\\\"Problem found when classifying the text\\\");\\n\\t\\t}\\t\\t\\n\\t}\",\n \"private void classifyTestImages() throws FileNotFoundException, UnsupportedEncodingException {\\n PrintWriter writer = new PrintWriter(\\\"result.txt\\\", \\\"UTF-8\\\");\\n writer.println(\\\"#Authors: Thomas Sarlin & Petter Poucette\\\");\\n\\n ArrayList<Image> images = testReader.getImages();\\n double activationResult[]=new double[4];\\n int bestGuess;\\n for (Image image : images) {\\n for (int j = 0; j < 4; j++)\\n activationResult[j] = activationFunction\\n .apply(sumWeights(j, image));\\n\\n bestGuess = getBestGuess(activationResult);\\n writer.println(image.getName() + \\\" \\\" + bestGuess);\\n }\\n writer.close();\\n }\",\n \"public void predict(String filename){\\n double[] dataVector = new double[1943];\\n try {\\n int[] temp = dv.getDataVector(filename);\\n for (int i=0;i<temp.length;i++){\\n dataVector[i] = temp[i];\\n }\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n double h = matrix.sigmoid(hypothesis(dataVector,Theta));\\n System.out.println((h>=0.9)?\\\"Not Spam\\\":\\\"Spam\\\");\\n }\",\n \"public int classify(String doc){\\n\\t\\tint label = 0;\\n\\t\\tint vSize = vocabulary.size();\\n\\t\\tdouble[] score = new double[numClasses];\\n\\t\\tfor(int i=0;i<score.length;i++){\\n\\t\\t\\tscore[i] = Math.log(classCounts[i]*1.0/trainingDocs.size());\\n\\t\\t}\\n\\t\\tString[] tokens = doc.split(\\\" \\\");\\n\\t\\tfor(int i=0;i<numClasses;i++){\\n\\t\\t\\tfor(String token: tokens){\\n\\t\\t\\t\\tif(condProb[i].containsKey(token)){\\n\\t\\t\\t\\t\\tscore[i] += Math.log(condProb[i].get(token));\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse{\\n\\t\\t\\t\\t\\tscore[i] += Math.log(1.0/(classTokenCounts[i]+vSize));\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t//System.out.println(\\\"token: \\\"+token+\\\" \\\"+score[i]);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tdouble maxScore = score[0];\\n\\t\\t//System.out.println(\\\"class 0: \\\"+score[0]);\\n\\t\\tfor(int i=1;i<score.length;i++){\\n\\t\\t\\t//System.out.println(\\\"class \\\"+i+\\\": \\\"+score[i]);\\n\\t\\t\\tif(score[i]>maxScore){\\n\\t\\t\\t\\tlabel = i;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn label;\\n\\t}\",\n \"public final double[] score0( double[] data, double[] preds ) {\\n java.util.Arrays.fill(preds,0);\\n java.util.Arrays.fill(NUMS,0);\\n int i = 0, ncats = 0;\\n final int n = data.length;\\n for(; i<n; ++i) {\\n NUMS[i] = Double.isNaN(data[i]) ? 0 : data[i];\\n }\\n java.util.Arrays.fill(ACTIVATION[0],0);\\n for (i=0; i<NUMS.length; ++i) {\\n ACTIVATION[0][CATOFFSETS[CATOFFSETS.length-1] + i] = Double.isNaN(NUMS[i]) ? 0 : NUMS[i];\\n }\\n for (i=1; i<ACTIVATION.length; ++i) {\\n java.util.Arrays.fill(ACTIVATION[i],0);\\n int cols = ACTIVATION[i-1].length;\\n int rows = ACTIVATION[i].length;\\n int extra=cols-cols%8;\\n int multiple = (cols/8)*8-1;\\n int idx = 0;\\n float[] a = WEIGHT[i];\\n double[] x = ACTIVATION[i-1];\\n double[] y = BIAS[i];\\n double[] res = ACTIVATION[i];\\n for (int row=0; row<rows; ++row) {\\n double psum0 = 0, psum1 = 0, psum2 = 0, psum3 = 0, psum4 = 0, psum5 = 0, psum6 = 0, psum7 = 0;\\n for (int col = 0; col < multiple; col += 8) {\\n int off = idx + col;\\n psum0 += a[off ] * x[col ];\\n psum1 += a[off + 1] * x[col + 1];\\n psum2 += a[off + 2] * x[col + 2];\\n psum3 += a[off + 3] * x[col + 3];\\n psum4 += a[off + 4] * x[col + 4];\\n psum5 += a[off + 5] * x[col + 5];\\n psum6 += a[off + 6] * x[col + 6];\\n psum7 += a[off + 7] * x[col + 7];\\n }\\n res[row] += psum0 + psum1 + psum2 + psum3;\\n res[row] += psum4 + psum5 + psum6 + psum7;\\n for (int col = extra; col < cols; col++)\\n res[row] += a[idx + col] * x[col];\\n res[row] += y[row];\\n idx += cols;\\n }\\n if (i<ACTIVATION.length-1) {\\n for (int r=0; r<ACTIVATION[i].length; ++r) {\\n ACTIVATION[i][r] = 1 - 2 / (1 + Math.exp(2*ACTIVATION[i][r]));\\n }\\n }\\n if (i == ACTIVATION.length-1) {\\n double max = ACTIVATION[i][0];\\n for (int r=1; r<ACTIVATION[i].length; r++) {\\n if (ACTIVATION[i][r]>max) max = ACTIVATION[i][r];\\n }\\n double scale = 0;\\n for (int r=0; r<ACTIVATION[i].length; r++) {\\n ACTIVATION[i][r] = Math.exp(ACTIVATION[i][r] - max);\\n scale += ACTIVATION[i][r];\\n }\\n for (int r=0; r<ACTIVATION[i].length; r++) {\\n if (Double.isNaN(ACTIVATION[i][r]))\\n throw new RuntimeException(\\\"Numerical instability, predicted NaN.\\\");\\n ACTIVATION[i][r] /= scale;\\n preds[r+1] = ACTIVATION[i][r];\\n }\\n }\\n }\\n preds[0] = hex.genmodel.GenModel.getPrediction(preds, PRIOR_CLASS_DISTRIB, data, 0.5);\\n return preds;\\n }\",\n \"public void printPrediction() {\\n\\t\\tfor (int i = 0; i < testData.size(); i++) {\\n\\t\\n\\t\\t\\tSystem.out.print(testData.get(i) + \\\", Predicted label:\\\"\\n\\t\\t\\t\\t\\t+ predictLabels[i]);\\n\\t\\t\\tif (predictLabels[i] >= 20) System.out.println(\\\" Successful\\\");\\n\\t\\t\\telse System.out.println(\\\" Failed\\\");\\n\\t\\t}\\n\\t}\",\n \"public int getPrediction(int i, int j) {\\n\\t\\treturn predictions[i][j];\\n\\t}\",\n \"@Override\\n\\tpublic double getTargetValueInCurrentBest() {\\n\\t\\treturn 0;\\n\\t}\",\n \"private double getClassProbability(ClassificationClass classificationClass) {\\n if (classificationClass == null) {\\n return 0;\\n }\\n\\n double documentsInClass = 0;\\n\\n for (Document document : documents) {\\n if (document.getClassificationClasses().contains(classificationClass)) {\\n documentsInClass++;\\n }\\n }\\n\\n return documentsInClass / documents.size();\\n }\",\n \"public int computeTN(Label classLabel){\\n\\n\\t\\t/*\\n\\t\\t * TODO: optimize this loggic\\n\\t\\t */\\n\\t\\t//count the totla number of predictions\\n\\t\\tint total = sumAll();\\n\\n\\n\\n\\t\\tint tp = this.computeTP(classLabel);\\n\\t\\tint fp = this.computeFP(classLabel);\\n\\t\\tint fn = this.computeFN(classLabel);\\n\\n\\t\\treturn total - tp - fp - fn;\\n\\t}\",\n \"public String decodePredictions(INDArray predictions) {\\n Preconditions.checkState(predictions.size(1) == predictionLabels.size(), \\\"Invalid input array:\\\" +\\n \\\" expected array with size(1) equal to numLabels (%s), got array with shape %s\\\", predictionLabels.size(), predictions.shape());\\n\\n String predictionDescription = \\\"\\\";\\n int[] top5 = new int[5];\\n float[] top5Prob = new float[5];\\n\\n //brute force collect top 5\\n int i = 0;\\n for (int batch = 0; batch < predictions.size(0); batch++) {\\n predictionDescription += \\\"Predictions for batch \\\";\\n if (predictions.size(0) > 1) {\\n predictionDescription += String.valueOf(batch);\\n }\\n predictionDescription += \\\" :\\\";\\n INDArray currentBatch = predictions.getRow(batch).dup();\\n while (i < 5) {\\n top5[i] = Nd4j.argMax(currentBatch, 1).getInt(0);\\n top5Prob[i] = currentBatch.getFloat(batch, top5[i]);\\n currentBatch.putScalar(0, top5[i], 0);\\n predictionDescription += \\\"\\\\n\\\\t\\\" + String.format(\\\"%3f\\\", top5Prob[i] * 100) + \\\"%, \\\"\\n + predictionLabels.get(top5[i]);\\n i++;\\n }\\n }\\n return predictionDescription;\\n }\",\n \"public double predict (\\tint user, \\n\\t\\t\\t\\t\\t\\t\\tint item )\\t\\n\\t{\\n\\t\\treturn dao.getUserMeanRating(user);\\n\\t}\",\n \"public double AccuracyLossTrainSet()\\n\\t{\\n\\t\\tdouble accuracyLoss = 0;\\n\\t\\t\\n\\t\\tfor(int i = 0; i < ITrain; i++)\\n\\t\\t{\\n\\t\\t\\tPreCompute(i);\\n\\t\\t\\n\\t\\t\\tfor(int c = 0; c < C; c++)\\n\\t\\t\\t\\taccuracyLoss += AccuracyLoss(i, c);\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn accuracyLoss;\\n\\t}\",\n \"public double expectedFalsePositiveProbability() {\\n\\t\\treturn Math.pow((1 - Math.exp(-k * (double) expectedElements\\n\\t\\t\\t\\t/ (double) bitArraySize)), k);\\n\\t}\",\n \"public double getProbability() {\\n return probability;\\n }\",\n \"public float getProbCross () {\\r\\n return cross_prob;\\r\\n }\",\n \"public static Map<String, Object> l_LAYER_MODEL_MultiClassClassifications_SoftMax_withdropout(\\r\\n\\t\\t\\tdouble[][] X, double[][] Y, int[] layerDimenstions,\\r\\n\\t\\t\\tdouble learningRate, int numOfIterations,\\r\\n\\t\\t\\tDeepNNOptimizers optimizer, DeepNNRegularizor regulizer,\\r\\n\\t\\t\\tdouble dropOutKeepThreshould, boolean iprintCost) throws Exception {\\r\\n\\r\\n\\t\\tMatrixUtil.setSeed(IPredictionModelConstants.RANDOM_SEED_FOR_REPRODUCIBILITY);\\r\\n\\r\\n\\t\\t//XYSeries //seriesData = new XYSeries(\\\"Cost\\\");\\r\\n\\r\\n\\t\\t\\r\\n\\t\\tint m = X[0].length;\\r\\n\\t\\tMap<String, Object> parameters = null;\\r\\n\\t\\tMap<Enum<DeepNNKeysForMaps>, Object> AdamParameters = null;\\r\\n\\t\\tMap<String, Object> grads = null;\\r\\n\\t\\tMap<String, Object> actCaches = null;\\r\\n\\t\\tMap<String, Object> feedForwardResult = null;\\r\\n\\t\\tdouble[][] AL = null;\\r\\n\\t\\tMap<DeepNNKeysForMaps, Object> oneHotMatrixresult = null;\\r\\n\\t\\tdouble cost = 0.0, previousCost = Double.MIN_VALUE, costDifference = 0.0;\\r\\n\\t\\tdouble finalPrecision = 0.0, beta1 = 0.9, beta2 = 0.99, adamt = 2;\\r\\n\\t\\tMap<String, Object> dropOutMap = new HashMap<>();\\r\\n\\t\\toneHotMatrixresult = MatrixUtil.createOneHotVectorMatrix(Y);\\r\\n\\t\\tdouble[][] Y_OneHot = (double[][]) oneHotMatrixresult\\r\\n\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_ONE_HOT_MATRIX);\\r\\n\\t\\tMap<Double, double[]> labeltoOnhotVectorMap = (Map<Double, double[]>) oneHotMatrixresult\\r\\n\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_LABEL_TO_ONE_HOT);\\r\\n\\t\\tX = MatrixUtil.T(X);\\r\\n\\t\\t// np.printshapes(X,Y_OneHot);\\r\\n\\t\\tY_OneHot = MatrixUtil.T(Y_OneHot);\\r\\n\\t\\tlayerDimenstions[layerDimenstions.length - 1] = labeltoOnhotVectorMap\\r\\n\\t\\t\\t\\t.size();\\r\\n\\t\\tparameters = DNNUtils.initializeParameterDeep(layerDimenstions, m,\\r\\n\\t\\t\\t\\tParameterInitializationType.BENGIO);\\r\\n\\t\\tint L = parameters.size() / 2;\\r\\n\\r\\n\\t\\tif (optimizer == DeepNNOptimizers.ADAM) {\\r\\n\\t\\t\\tAdamParameters = DNNUtils.initializeAdamParameters(parameters);\\r\\n\\t\\t\\tbeta1 = 0.9;\\r\\n\\t\\t\\tbeta2 = 0.999;\\r\\n\\t\\t\\tadamt = 2;\\r\\n\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tfor (int i = 0; (i < numOfIterations); i++) {\\r\\n\\r\\n\\t\\t\\tfeedForwardResult = DNNUtils\\r\\n\\t\\t\\t\\t\\t.L_model_forward_multiClass_classification_withdropout(X,\\r\\n\\t\\t\\t\\t\\t\\t\\tparameters, dropOutKeepThreshould, dropOutMap);\\r\\n\\t\\t\\tactCaches = (Map<String, Object>) feedForwardResult.get(String\\r\\n\\t\\t\\t\\t\\t.valueOf(\\\"actCache_\\\" + (L)));\\r\\n\\t\\t\\tAL = (double[][]) actCaches.get(String.valueOf(\\\"A\\\"));\\r\\n\\t\\t\\tcost = DNNUtils.sparse_categorial_crossentropy(m, Y_OneHot, AL);\\r\\n\\t\\t\\tcostDifference = cost - previousCost;\\r\\n\\t\\t\\tpreviousCost = cost;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tgrads = DNNUtils\\r\\n\\t\\t\\t\\t\\t.L_model_backward_MultiClass_Classification_with_dropout(\\r\\n\\t\\t\\t\\t\\t\\t\\tAL, Y_OneHot, feedForwardResult,\\r\\n\\t\\t\\t\\t\\t\\t\\tdropOutKeepThreshould, dropOutMap); // here i should\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// pass both\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// cashes;\\r\\n\\r\\n\\t\\t\\tif (optimizer == DeepNNOptimizers.ADAM) {\\r\\n\\t\\t\\t\\tAdamParameters = DNNUtils.updateParametersWithAdams(parameters,\\r\\n\\t\\t\\t\\t\\t\\tgrads, AdamParameters, adamt, learningRate, beta1,\\r\\n\\t\\t\\t\\t\\t\\tbeta2, IPredictionModelConstants.EPSILON);\\r\\n\\t\\t\\t\\tparameters = (Map<String, Object>) AdamParameters\\r\\n\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_NN_PARAMETERS);\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tparameters = DNNUtils.updateParametersWithGD(parameters, grads,\\r\\n\\t\\t\\t\\t\\t\\tlearningRate);\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\tif (i % 400 == 0 && iprintCost) {\\r\\n\\t\\t\\t\\tMatrixUtil.print(\\\"==============\\\");\\r\\n\\t\\t\\t\\tMatrixUtil.print(\\\"Cost = \\\" + cost);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tfinalPrecision = DNNUtils.accuracyForMultiClassClassification(\\r\\n\\t\\t\\t\\t\\t\\tAL, Y_OneHot);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tMatrixUtil.print(\\\"Predicted multiclass classification precision= \\\"\\r\\n\\t\\t\\t\\t\\t\\t+ finalPrecision);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tif (Math.abs(costDifference) < IPredictionModelConstants.EPSILON) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn parameters;\\r\\n\\t}\",\n \"public double getProbability(Object rootState) { return getProbability(rootState, (Object[])null); }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6484817","0.61783516","0.61430246","0.611222","0.59129536","0.5801834","0.57368785","0.57228327","0.57135487","0.5679845","0.56591684","0.5644579","0.56360394","0.5608327","0.5594032","0.5584633","0.5566004","0.5533412","0.5505552","0.5440358","0.54374677","0.54296374","0.5429222","0.533404","0.5331143","0.53139883","0.5308358","0.53026634","0.52928406","0.52798754","0.5269475","0.52639437","0.5235561","0.5217713","0.51996875","0.5176253","0.5162724","0.51418465","0.51272464","0.5122372","0.5091315","0.5069943","0.5055312","0.5051231","0.50321823","0.500969","0.49897167","0.49835712","0.49800968","0.49798712","0.49798337","0.49661452","0.49631572","0.49498883","0.4948793","0.49440438","0.49384284","0.49312297","0.49192318","0.49011815","0.49008012","0.48958185","0.48876977","0.48831147","0.48781013","0.48750705","0.48682895","0.48661384","0.48620942","0.48609662","0.48537672","0.48531085","0.48503837","0.48474976","0.48444632","0.48377275","0.48369294","0.48367825","0.48353842","0.48302028","0.4828727","0.48273763","0.4827123","0.48270142","0.48232147","0.48219717","0.4819911","0.48156667","0.47985733","0.4795201","0.47917464","0.47799727","0.47785133","0.4772344","0.4770333","0.4761745","0.47565913","0.47547808","0.4750485","0.47495672"],"string":"[\n \"0.6484817\",\n \"0.61783516\",\n \"0.61430246\",\n \"0.611222\",\n \"0.59129536\",\n \"0.5801834\",\n \"0.57368785\",\n \"0.57228327\",\n \"0.57135487\",\n \"0.5679845\",\n \"0.56591684\",\n \"0.5644579\",\n \"0.56360394\",\n \"0.5608327\",\n \"0.5594032\",\n \"0.5584633\",\n \"0.5566004\",\n \"0.5533412\",\n \"0.5505552\",\n \"0.5440358\",\n \"0.54374677\",\n \"0.54296374\",\n \"0.5429222\",\n \"0.533404\",\n \"0.5331143\",\n \"0.53139883\",\n \"0.5308358\",\n \"0.53026634\",\n \"0.52928406\",\n \"0.52798754\",\n \"0.5269475\",\n \"0.52639437\",\n \"0.5235561\",\n \"0.5217713\",\n \"0.51996875\",\n \"0.5176253\",\n \"0.5162724\",\n \"0.51418465\",\n \"0.51272464\",\n \"0.5122372\",\n \"0.5091315\",\n \"0.5069943\",\n \"0.5055312\",\n \"0.5051231\",\n \"0.50321823\",\n \"0.500969\",\n \"0.49897167\",\n \"0.49835712\",\n \"0.49800968\",\n \"0.49798712\",\n \"0.49798337\",\n \"0.49661452\",\n \"0.49631572\",\n \"0.49498883\",\n \"0.4948793\",\n \"0.49440438\",\n \"0.49384284\",\n \"0.49312297\",\n \"0.49192318\",\n \"0.49011815\",\n \"0.49008012\",\n \"0.48958185\",\n \"0.48876977\",\n \"0.48831147\",\n \"0.48781013\",\n \"0.48750705\",\n \"0.48682895\",\n \"0.48661384\",\n \"0.48620942\",\n \"0.48609662\",\n \"0.48537672\",\n \"0.48531085\",\n \"0.48503837\",\n \"0.48474976\",\n \"0.48444632\",\n \"0.48377275\",\n \"0.48369294\",\n \"0.48367825\",\n \"0.48353842\",\n \"0.48302028\",\n \"0.4828727\",\n \"0.48273763\",\n \"0.4827123\",\n \"0.48270142\",\n \"0.48232147\",\n \"0.48219717\",\n \"0.4819911\",\n \"0.48156667\",\n \"0.47985733\",\n \"0.4795201\",\n \"0.47917464\",\n \"0.47799727\",\n \"0.47785133\",\n \"0.4772344\",\n \"0.4770333\",\n \"0.4761745\",\n \"0.47565913\",\n \"0.47547808\",\n \"0.4750485\",\n \"0.47495672\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.66817504"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":32576,"cells":{"query":{"kind":"string","value":"/ Backpropagation learning algorithm"},"document":{"kind":"string","value":"private void train(int[] trainingData, int[] trainingLabel) {\n\t\t// forward Propagation\n\t\tdouble[] activationsOfHiddenLayer = new double[SIZE_HIDDEN_LAYER];\n\t\tdouble[] outputActivations = new double[SIZE_OUTPUT_LAYER];\n\t\tforwardPropagation(trainingData, activationsOfHiddenLayer, outputActivations);\n\t\t// backward Propagation\n\t\tbackwardPropagation(trainingData, trainingLabel, outputActivations, activationsOfHiddenLayer);\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public void applyBackpropagation( float expectedOutput[] ) {\n\t\t// The code for updating weights goes here \n\t\t// NOTE: if using a single perceptron, this is not technically back-propagation, despite the function name \n }","private void backwardPropagation(int[] trainingData, int[] trainingLabel, double[] outputActivations, double[] hiddenActiv) {\n\t\tdouble[] delta = new double[SIZE_OUTPUT_LAYER];\n\t\t// Update OutputLayer weights\n\t\tfor(int indexOutput = 0; indexOutput < SIZE_OUTPUT_LAYER; indexOutput++) {\n\t\t\t// We define delta as the difference between the real label and the softmax probability\n\t\t\tdelta[indexOutput] = trainingLabel[indexOutput] - outputActivations[indexOutput];\n\n\t\t\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\n\t\t\t\tweightsOfOutputLayer[indexOutput][indexHidden] += learningRate * delta[indexOutput] * hiddenActiv[indexHidden] / datasetSize;\n\t\t\t}\t\n\t\t\tbiasOfOutputLayer[indexOutput] += learningRate * delta[indexOutput] / datasetSize;\n\t\t}\t\n\t\t// Create delta2 \n\t\tdouble[] delta2 = new double[SIZE_HIDDEN_LAYER];\n\t\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\n\t\t\tdelta2[i] = 0;\n\t\t\tfor(int j = 0; j < SIZE_OUTPUT_LAYER; j++) {\n\t\t\t\t// Why is it multiplying the weights for delta1?\n\t\t\t\tdelta2[i] += delta[j] * weightsOfOutputLayer[j][i];\n\t\t\t}\n\t\t\tdelta2[i] *= dtanh(hiddenActiv[i]);\n\t\t}\n\t\t// Update HiddenLayer weights\n\t\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\n\t\t\tfor(int j = 0; j < SIZE_INPUT_LAYER; j++) {\n weightsOfHiddenLayer[i][j] += learningRate * delta2[i] * (double)trainingData[j] / datasetSize;\n\t\t\t}\n biasOfHiddenLayer[i] += learningRate * delta2[i] / datasetSize;\n\t\t}\t\n\t}","@Override\n\tpublic void backProp() {\n\t\tdouble dOut = 0;\n\t\tfor (Node n : outputs) {\n\t\t\tdOut += n.dInputs.get(this);\n\t\t}\n\t\tdouble dTotal = activationFunction.derivative(total)*dOut;\n\t\tfor (Node n : inputs) {\n\t\t\tdInputs.put(n, dTotal * weights.get(n).getWeight());\n\t\t\tweights.get(n).adjustWeight(dTotal * n.output);\n\t\t}\n\t\tbiasWeight.adjustWeight(bias * dTotal);\n\t}","@Override\n\tpublic void train(DataSet data) {\n\t\tArrayList<Example> examples = data.getCopyWithBias().getData();\n\t\t// initialize both weight vectors with random values between -0.1 ad 0.1\n\t\tinitWeights(examples.size());\n\n\t\t// store outputs from forward calculation for each example\n\t\t// array will have size # examples.\n\t\tArrayList<Double> nodeOutputs = calculateForward(examples);\n\n\t\t// now take error and back-propagate from output to hidden nodes\n\n\t\tfor (int j = 0; j < examples.size(); j++) {\n\t\t\tExample ex = examples.get(j);\n\n\t\t\t// get hidden node outputs for single example\n\t\t\tfor (int num = 0; num < numHidden; num++) {\n\t\t\t\tArrayList<Double> h_outputs = hiddenOutputs.get(num);\n\t\t\t\tdouble vDotH = dotProduct(h_outputs, layerTwoWeights); // calculate\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// v dot\n\t\t\t\t// h for\n\t\t\t\t// this node\n\n\t\t\t\tfor (int i = 0; i < numHidden - 1; i++) {\n\t\t\t\t\tdouble oldV = layerTwoWeights.get(i);\n\t\t\t\t\tdouble hk = h_outputs.get(i);\n\t\t\t\t\t// Equation describing line below:\n\t\t\t\t\t// v_k = v_k + eta*h_k(y-f(v dot h)) f'(v dot h)\n\t\t\t\t\tlayerTwoWeights.set(i, oldV + eta * hk * (ex.getLabel() - Math.tanh(vDotH)) * derivative(vDotH));\n\t\t\t\t}\n\n\t\t\t\tSet<Integer> features = ex.getFeatureSet();\n\t\t\t\tIterator<Integer> iter = features.iterator();\n\t\t\t\tArrayList<Double> featureVals = new ArrayList<Double>();\n\t\t\t\tfor (int f : features) {\n\t\t\t\t\tfeatureVals.add((double) f);\n\t\t\t\t}\n\n\t\t\t\t// take that error and back-propagate one more time\n\t\t\t\tfor (int x = 0; x < numHidden; x++) {\n\t\t\t\t\tArrayList<Double> initWeights = hiddenWeights.get(x);\n\t\t\t\t\t// List<Object> features =\n\t\t\t\t\t// Arrays.asList(ex.getFeatureSet().toArray());\n\n\t\t\t\t\t// for (int i = 0; i < featureVals.size()-1; i++) {\n\t\t\t\t\tdouble oldWeight = initWeights.get(j);\n\t\t\t\t\tdouble thisInput = ex.getFeature(featureVals.get(x).intValue());\n\t\t\t\t\t// w_kj = w_kj + eta*xj(input)*f'(w_k dot x)*v_k*f'(v dot\n\t\t\t\t\t// h)(y-f(v dot h))\n\t\t\t\t\tdouble updateWeight = oldWeight + eta * thisInput * derivative(dotProduct(featureVals, initWeights))\n\t\t\t\t\t\t\t* layerTwoWeights.get(x) * derivative(vDotH) * (ex.getLabel() - Math.tanh(vDotH));\n\t\t\t\t\tinitWeights.set(j, updateWeight);\n\t\t\t\t\t// }\n\t\t\t\t\thiddenWeights.set(x, initWeights); // update weights for\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t// current\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t// example\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t}","public FFANNAdaptiveBackPropagationJSP()\n\t{\n\t\t//run(network, numberInputNeurons, numberHiddenNeurons, numberOutputNeurons, trainingSet);\n\t}","public void backprop(double[] inputs, FeedForwardNeuralNetwork net, boolean verbose)\n {\n //create variables that will be used later\n int[] sizes = net.getSizes();\n int biggestSize = 0;\n for(int k = 0; k < sizes.length; k++)\n {\n if(sizes[k] > biggestSize)\n {\n biggestSize = sizes[k];\n }\n }\n int hiddenLayers = sizes.length - 2;\n //if input or output wrong size, return\n if(inputs.length != sizes[0])\n {\n System.out.println(\"Invalid number of inputs\");\n return;\n }\n\n double[][] allOutputs = new double[sizes.length][biggestSize];\n double[][] allErrors = new double[sizes.length][biggestSize];\n\n //fill out first layer to temp output\n int lastLayer = sizes[0];\n for(int k = 0; k < lastLayer; k++)\n {\n allOutputs[0][k] = inputs[k];\n }\n\n //for each layer after the input\n for(int k = 1; k < hiddenLayers + 2; k++)\n {\n //for each node in that layer\n for(int a = 0; a < sizes[k]; a++)\n {\n //get sum and get activation function result and its derivative\n double sum = 0;\n for(int t = 0; t < lastLayer; t++)\n {\n sum += allOutputs[k - 1][t] * net.getWeight(k - 1, t, k, a);\n }\n sum += net.getBiasNum() * net.getWeight(-1, 0, k, a);\n if(k != hiddenLayers + 1)\n {\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getHiddenActivationFunction());\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getHiddenActivationFunction());\n }\n else\n {\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getOutputActivationFunction());\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getOutputActivationFunction());\n }\n }\n lastLayer = sizes[k];\n }\n\n if(verbose)\n {\n System.out.println(\"Outputs\");\n for(int k = 0; k < maxClusters; k++)\n {\n System.out.print(allOutputs[hiddenLayers + 1][k] + \", \");\n }\n System.out.println();\n }\n double[] expectedOutputs = new double[maxClusters];\n int cluster = 0;\n double max = 0;\n for(int k = 0; k < maxClusters; k++)\n {\n expectedOutputs[k] = allOutputs[hiddenLayers + 1][k];\n if(allOutputs[hiddenLayers + 1][k] > max)\n {\n cluster = k;\n max = allOutputs[hiddenLayers + 1][k];\n }\n }\n if(verbose)\n {\n System.out.println(\"Output \" + cluster + \" will be set to max value\");\n System.out.println();\n }\n\n expectedOutputs[cluster] = 4;\n\n\n //go backward from output to first hidden layer\n for(int k = hiddenLayers + 1; k > 0; k--)\n {\n //for each node in that layer\n for(int a = 0; a < sizes[k]; a++)\n {\n //compute error for not output layer\n if(k != hiddenLayers + 1)\n {\n double temp = allErrors[k][a];\n allErrors[k][a] = 0;\n for(int t = 0; t < sizes[k + 1]; t++)\n {\n allErrors[k][a] += net.getWeight(k, t, k + 1, a) * allErrors[k + 1][t];\n }\n allErrors[k][a] *= temp;\n }\n //compute error for output layer\n else\n {\n allErrors[k][a] *= (expectedOutputs[a] - allOutputs[k][a]);\n }\n\n //for each weight node takes as input\n for(int t = 0; t < sizes[k - 1]; t++)\n {\n //find the delta for the weight and apply\n int index = net.getIndex(k - 1, t, k, a);\n double delta = learningRate * allOutputs[k - 1][t] * allErrors[k][a]\n + momentum * lastDeltas[index];\n\n net.setWeight(k - 1, t, k, a, net.getWeight(k - 1, t, k, a) + delta);\n lastDeltas[index] = delta;\n }\n }\n }\n }","public BackPropagationLearningProcess(NeuralNetwork network) {\r\n\t\tsuper(network);\r\n\t}","private void learnStep(){\n Connection[][][] temp = this.connections;\r\n for(int trialIndex = 0; trialIndex< inputList.length; trialIndex++) {\r\n for (int layerIndex = 0; layerIndex < connections.length; layerIndex++) {\r\n for (int startIndex = 0; startIndex < connections[layerIndex].length; startIndex++) {\r\n for (int endIndex = 0; endIndex < connections[layerIndex][startIndex].length; endIndex++) {\r\n double weightDerivative = 0.0;\r\n double biasDerivative = 0.0;\r\n weightDerivative += learningRate* derivativeWeight(layerIndex, startIndex, endIndex, trialIndex);\r\n biasDerivative += learningRate * derivativeBias(layerIndex, startIndex, endIndex, trialIndex);\r\n double currentWeight = temp[layerIndex][startIndex][endIndex].getWeight();\r\n double currentBias = temp[layerIndex][startIndex][endIndex].getBias();\r\n temp[layerIndex][startIndex][endIndex] = new Connection(currentWeight - weightDerivative, currentBias - biasDerivative);\r\n\r\n }\r\n }\r\n }\r\n this.run();\r\n }\r\n this.connections = temp;\r\n }","public void FeedForward() {\r\n\t\tfor (int i = 0; i < Node.length; i++) {\r\n\t\t\tNet = Node[i].Threshold;\r\n\r\n\t\t\tfor (int j = 0; j < Node[i].Weight.length; j++)\r\n\t\t\t\tNet = Net + Input[j] * Node[i].Weight[j];\r\n\r\n\t\t\tNode[i].Output = Sigmoid(Net);\r\n\t\t}\r\n\t}","public void trainNet() {\t\t\n\t\t// Synapses contain the weights for each layer, these are randomised to begin with\n\t\tsynapse0 = new double[X[0].length][hiddenNeurons];\n\t\tpopulateRandom(synapse0, minRandomWeight, maxRandomWeight);\n\t\t\n\t\tsynapse1 = new double[hiddenNeurons][y[0].length];\n\t\tpopulateRandom(synapse1, minRandomWeight, maxRandomWeight);\n\t\t\n\t\t// The layers are the output values of each layer.\n\t\t// They are initialised to nothing to begin with, created properly in the training loop\n\t\tlayer1 = new double[0][0];\n\t\tlayer2 = new double[0][0];\n\t\t\n\t\t// Printing the initial state of the system\n\t\tm.printMatrix(\"X:\", X);\n\t\tm.printMatrix(\"y:\", y);\n\t\t\n\t\t// The training loop\n\t\tfor (int i = 0; i < trainingCycles; i++) {\n\t\t\t// calculate the values of each layer given the inputs and the weights\n\t\t\tlayer1 = forwardPropogate(X, synapse0);\n\t\t\tlayer2 = forwardPropogate(layer1, synapse1);\n\t\t\t\n\t\t\t// Calculate the delta error for each output layer, starting\n\t\t\t// with the bottom working up.\n\t\t\t// This is the difference between the expected values and actual values\n\t\t\t// times the derivative (gradient) of the sigmoid activation function\n\t\t\t// The 1st error comes from y - output\n\t\t\tdouble[][] layer2Delta = m.subtract(y, layer2);\n\t\t\tlayer2Delta = delta(layer2Delta, layer2);\n\t\t\t// subsequent layers come from the delta of the lower layer divided by the weights\n\t\t\tdouble[][] layer1Delta = m.dot(layer2Delta, m.t(synapse1));\n\t\t\tlayer1Delta = delta(layer1Delta, layer1);\n\t\t\t\n\t\t\t// Apply the error gradients to each weight, this moves the value closer to the expected\n\t\t\t// or reduces the error\n\t\t\tsynapse1 = m.add(synapse1, m.scale(m.dot(m.t(layer1), layer2Delta), trainingRate));\n\t\t\tsynapse0 = m.add(synapse0, m.scale(m.dot(m.t(X), layer1Delta), trainingRate));\n\t\t}\n\t\t// Run the input matrix through the net to get outputs for each training value on layer 2\n\t\tdouble[][] testNet = runData(X);\n\t\t// Show the results\n\t\tm.printMatrix(\"Output for X after training:\", testNet);\n\t\tm.printMatrixInts(\"Output for X after training (out of 100:\", testNet);\n\t}","public void train(double[] inputs, double[] outputsTarget) {\n assert(outputsTarget.length == weights.get(weights.size() - 1).length);\n \n ArrayList<double[]> layersOutputs = new ArrayList<double[]>(); \n classify(inputs, layersOutputs);\n\n // Calculate sensitivities for the output nodes\n int outputNeuronCount = this.weights.get(this.weights.size() - 1).length;\n double[] nextLayerSensitivities = new double[outputNeuronCount];\n assert(layersOutputs.get(layersOutputs.size() - 1).length == outputNeuronCount);\n for (int i = 0; i < outputNeuronCount; i++) {\n nextLayerSensitivities[i] = calculateErrorPartialDerivitive(\n layersOutputs.get(layersOutputs.size() - 1)[i],\n outputsTarget[i]\n ) * calculateActivationDerivitive(layersOutputs.get(layersOutputs.size() - 1)[i]);\n assert(!Double.isNaN(nextLayerSensitivities[i]));\n }\n\n for (int weightsIndex = this.weights.size() - 1; weightsIndex >= 0; weightsIndex--) {\n int previousLayerNeuronCount = this.weights.get(weightsIndex)[0].length;\n int nextLayerNeuronCount = this.weights.get(weightsIndex).length;\n assert(nextLayerSensitivities.length == nextLayerNeuronCount);\n\n double[] previousLayerOutputs = layersOutputs.get(weightsIndex);\n double[] previousLayerSensitivities = new double[previousLayerNeuronCount];\n\n // Iterate over neurons in the previous layer\n for (int j = 0; j < previousLayerNeuronCount; j++) {\n\n // Calculate the sensitivity of this node\n double sensitivity = 0;\n for (int i = 0; i < nextLayerNeuronCount; i++) {\n sensitivity += nextLayerSensitivities[i] * this.weights.get(weightsIndex)[i][j];\n }\n sensitivity *= calculateActivationDerivitive(previousLayerOutputs[j]);\n assert(!Double.isNaN(sensitivity));\n previousLayerSensitivities[j] = sensitivity;\n\n for (int i = 0; i < nextLayerNeuronCount; i++) {\n double weightDelta = learningRate * nextLayerSensitivities[i] * calculateActivation(previousLayerOutputs[j]);\n this.weights.get(weightsIndex)[i][j] += weightDelta;\n assert(!Double.isNaN(this.weights.get(weightsIndex)[i][j]) && !Double.isInfinite(this.weights.get(weightsIndex)[i][j]));\n }\n }\n\n nextLayerSensitivities = previousLayerSensitivities;\n }\n }","public void train()\r\n\t{\r\n\t\tfor(int i=0; i < this.maxEpoch; i++)\r\n\t\t{\r\n\t\t\tfor(Instance temp_example: this.trainingSet)\r\n\t\t\t{\r\n\t\t\t\tdouble O = calculateOutputForInstance(temp_example);\r\n\t\t\t\tdouble T = temp_example.output;\r\n\t\t\t\tdouble err = T - O;\r\n\r\n\t\t\t\t//w_jk (hidden to output)\r\n\t\t\t\tdouble g_p_out = (outputNode.getSum() <= 0) ? 0 : 1;\r\n\t\t\t\tfor(NodeWeightPair hiddenNode: outputNode.parents)\r\n\t\t\t\t{\r\n\t\t\t\t\thiddenNode.set_deltaw_pq(this.learningRate*\r\n\t\t\t\t\t\t\thiddenNode.node.getOutput()*err*g_p_out);\r\n\t\t\t\t}\r\n\r\n\t\t\t\t//w_ij (input to hidden)\r\n\t\t\t\tint hid_count =0;\r\n\t\t\t\tfor(Node hiddenNode: hiddenNodes){\r\n\t\t\t\t\tdouble g_p_hid = (hiddenNode.getSum() <= 0) ? 0 : 1;\r\n\t\t\t\t\tif(hiddenNode.getType()==2)\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tfor(NodeWeightPair inputNode: hiddenNode.parents){\r\n\t\t\t\t\t\t\tdouble a_i = inputNode.node.getOutput();\r\n\t\t\t\t\t\t\tinputNode.set_deltaw_pq\r\n\t\t\t\t\t\t\t(\r\n\t\t\t\t\t\t\t\t\tthis.learningRate*\r\n\t\t\t\t\t\t\t\t\ta_i*g_p_hid*(err*\r\n\t\t\t\t\t\t\t\t\toutputNode.parents.get(hid_count).weight*\r\n\t\t\t\t\t\t\t\t\tg_p_out)\r\n\t\t\t\t\t\t\t\t\t);\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t} else {\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\thid_count++;\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t// for all w_pq, update weights\r\n\t\t\t\tfor(Node hiddenNode: hiddenNodes){\r\n\t\t\t\t\tif(hiddenNode.getType()==2){\r\n\t\t\t\t\t\tfor(NodeWeightPair inputNode: hiddenNode.parents){\r\n\t\t\t\t\t\t\tinputNode.weight += inputNode.get_deltaw_pq();\r\n\t\t\t\t\t\t\tinputNode.set_deltaw_pq(new Double (0.00));\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\tfor(NodeWeightPair hiddenNode: outputNode.parents)\r\n\t\t\t\t{\r\n\t\t\t\t\thiddenNode.weight += hiddenNode.get_deltaw_pq();\r\n\t\t\t\t\thiddenNode.set_deltaw_pq(new Double (0.00));\r\n\t\t\t\t}\r\n\r\n\t\t\t} // end of an instance \r\n\t\t} // end of an epoch\r\n\t}","private void trainPerceptrons(){\n double activationValues[] = new double[4];\n for(Image image:asciiReader.getTrainingImages()){\n for (int j = 0 ; j < activationValues.length; j++){\n activationValues[j] = activationFunction\n .apply(sumWeights(j,image));\n }\n adjustWeights(activationValues,image);\n }\n }","private void forwardPropagation(int[] trainingData, double[] activationsOfHiddenLayer, double[] outputActivations) {\n\t\tdouble[] hiddenActivations = new double[SIZE_HIDDEN_LAYER];\n\n\t\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\n\t\t\thiddenActivations[indexHidden] = 0;\n\t\t\tfor(int indexInput = 0; indexInput < SIZE_INPUT_LAYER; indexInput++) {\n\t\t\t\thiddenActivations[indexHidden] += weightsOfHiddenLayer[indexHidden][indexInput] * trainingData[indexInput];\n\t\t\t}\t\n\t\t\thiddenActivations[indexHidden] += biasOfHiddenLayer[indexHidden];\n//\t\t\t// We then call the activation function \n\t\t\thiddenActivations[indexHidden] = tanh(hiddenActivations[indexHidden]);\n\t\t\tactivationsOfHiddenLayer[indexHidden] = hiddenActivations[indexHidden];\n\n\t\t}\n\t\t\t\t\n\t\tfor(int indexOuput = 0; indexOuput < SIZE_OUTPUT_LAYER; indexOuput++) {\n\t\t\toutputActivations[indexOuput] = 0;\n\t\t\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden ++) {\n\t\t\t\toutputActivations[indexOuput] += weightsOfOutputLayer[indexOuput][indexHidden] * hiddenActivations[indexHidden];\n\t\t\t}\t\n\t\t\toutputActivations[indexOuput] += biasOfOutputLayer[indexOuput];\n\t\t}\n\t\tsoftmax(outputActivations);\t\n\t}","public static void main(String[] args) {\n\t\tfinal int input1 = 1;\r\n\t\tfinal int input2 = 1;\r\n\t\t\r\n\t\t// One output in layer 3\r\n\t\tdouble targetOutput = 0;\r\n\t\t\r\n\t\t// Input to Hidden (IH) weights\r\n\t\tdouble IH1 = 0.8;\r\n\t\tdouble IH2 = 0.4;\r\n\t\tdouble IH3 = 0.3;\r\n\t\tdouble IH4 = 0.2;\r\n\t\tdouble IH5 = 0.9;\r\n\t\tdouble IH6 = 0.5;\r\n\t\t\r\n\t\t// second iteration of weights: Hidden to Output (HO) weights\r\n\t\tdouble HO1 = 0.3;\r\n\t\tdouble HO2 = 0.5;\r\n\t\tdouble HO3 = 0.9;\r\n\t\t\r\n\t\t// initialization\r\n\t\tdouble weightedSum1;\r\n\t\tdouble weightedSum2;\r\n\t\tdouble weightedSum3;\r\n\t\t\r\n\t\tdouble hiddenOutput1;\r\n\t\tdouble hiddenOutput2;\r\n\t\tdouble hiddenOutput3;\r\n\t\t\r\n\t\tdouble calculatedOutput;\r\n\t\t\r\n\t\tdouble secondWeightedSum;\r\n\t\t\r\n\t\tdouble outputSumError;\r\n\t\t\r\n\t\tdouble deltaSum;\r\n\t\t\r\n\t\tdouble deltaHO1;\r\n\t\tdouble deltaHO2;\r\n\t\tdouble deltaHO3;\r\n\t\t\r\n\t\tdouble deltaIH1;\r\n\t\tdouble deltaIH2;\r\n\t\tdouble deltaIH3;\r\n\t\tdouble deltaIH4;\r\n\t\tdouble deltaIH5;\r\n\t\tdouble deltaIH6;\r\n\t\t\r\n\t\tfor (int i=0;i<10000;i++){\r\n\t\t\t// Three inputs in layer 2 (hidden layer)\r\n\t\t\tweightedSum1 = input1*IH1+input2*IH4;\r\n\t\t\tweightedSum2 = input1*IH2+input2*IH5;\r\n\t\t\tweightedSum3 = input1*IH3+input2*IH6;\r\n\t\t\t\r\n\t\t\t// weighted sums converted into probabilities by sigmoid\r\n\t\t\thiddenOutput1 = sigmoid(weightedSum1);\r\n\t\t\thiddenOutput2 = sigmoid(weightedSum2);\r\n\t\t\thiddenOutput3 = sigmoid(weightedSum3);\r\n\t\t\t// second iteration of weighted sum\r\n\t\t\tsecondWeightedSum = hiddenOutput1*HO1+hiddenOutput2*HO2+hiddenOutput3*HO3;\r\n\t\t\t\r\n\t\t\t// applying sigmoid on secondWeightedSum to get calculatedOutput\r\n\t\t\tcalculatedOutput = sigmoid(secondWeightedSum);\r\n\t\t\tSystem.out.println(calculatedOutput);\r\n\t\t\t// Back Propagation \r\n\t\t\t\r\n\t\t\t//output sum error = target output - calculated output\r\n\t\t\toutputSumError = targetOutput - calculatedOutput;\r\n\t\t\t\r\n\t\t\t// delta sum = S'(sum)*outputSumError \r\n\t\t\tdeltaSum = sigmoidPrime(secondWeightedSum)*outputSumError;\r\n\t\t\t\t\r\n\t\t/* deltaIHWeights (1,2,3 are equal to 4,5,6 respectively \r\n\t\t because input1 and input2 are both 1) */\r\n\t\tdeltaIH1 = deltaSum / HO1 * sigmoidPrime(weightedSum1);\r\n\t\tdeltaIH2 = deltaSum / HO2 * sigmoidPrime(weightedSum2);\r\n\t\tdeltaIH3 = deltaSum / HO3 * sigmoidPrime(weightedSum3);\r\n\t\tdeltaIH4 = deltaSum / HO1 * sigmoidPrime(weightedSum1);\r\n\t\tdeltaIH5 = deltaSum / HO2 * sigmoidPrime(weightedSum2);\r\n\t\tdeltaIH6 = deltaSum / HO3 * sigmoidPrime(weightedSum3);\r\n\t\t\r\n\t\t// deltaHOWeights\r\n\t\tdeltaHO1 = deltaSum / hiddenOutput1;\r\n\t\tdeltaHO2 = deltaSum / hiddenOutput2;\r\n\t\tdeltaHO3 = deltaSum / hiddenOutput3;\r\n\t\t\r\n\t\t// Modifying Old Weights \r\n\t\t\r\n\t\t// modifying IH weights\r\n\t\tIH1 += deltaIH1;\r\n\t\tIH2 += deltaIH2;\r\n\t\tIH3 += deltaIH3;\r\n\t\tIH4 += deltaIH4;\r\n\t\tIH5 += deltaIH5;\r\n\t\tIH6 += deltaIH6;\r\n\t\t\r\n\t\t// modifying HO weights\r\n\t\tHO1 += deltaHO1;\r\n\t\tHO2 += deltaHO2;\r\n\t\tHO3 += deltaHO3;\r\n\t\t\r\n\t\t}\r\n\t}","private void trainOnSamples() {\n for (Sample sample : samples) {\n double sum = 0;\n \n for (int i = 0; i < weights.length; i++) { //calculating w1.x1 + w2.x2 + ... \n sum += weights[i] * sample.getP()[i];\n }\n sum += bias; //adding bias to the sum\n\n if (!compareOutput(sum, sample)) { //compare network & target output\n //updating the weights\n for (int i = 0; i < weights.length; i++) {\n weights[i] += sample.getTarget() * sample.getP()[i];\n }\n //updating the bias\n bias += sample.getTarget();\n sample.setValidation(false);\n } else {\n sample.setValidation(true);\n }\n }\n }","private void backwardCalculation(double[] trainingOutput) {\n\t\tfor (int i = 0; i < numberOfOutputs; i++) {\n\t\t\terrorOutput[i] = output[i] * (1 - output[i]) * (trainingOutput[i] - output[i]);\n\t\t}\n\n\t\t// computer error at every hidden node\n\t\tfor (int i = 0; i < numberOfMiddle; i++) {\n\t\t\tdouble sum = 0;\n\n\t\t\tfor (int j = 0; j < numberOfOutputs; j++) {\n\t\t\t\tsum += matrixOutput[i][j] * errorOutput[j];\n\t\t\t}\n\n\t\t\terrorMiddle[i] = middle[i] * (1 - middle[i]) * sum;\n\t\t}\n\n\t\t// update weights between hidden and output nodes\n\t\tfor (int i = 0; i < numberOfMiddle; i++) {\n\t\t\tfor (int j = 0; j < numberOfOutputs; j++) {\n\t\t\t\tmatrixOutput[i][j] += rate * middle[i] * errorOutput[j];\n\t\t\t}\n\t\t}\n\n\t\t// update weights between input and hidden nodes\n\t\tfor (int i = 0; i < numberOfInputs; i++) {\n\t\t\tfor (int j = 0; j < numberOfMiddle; j++) {\n\t\t\t\tmatrixMiddle[i][j] += rate * input[i] * errorMiddle[j];\n\t\t\t}\n\t\t}\n\n\t\t// update thetas at output nodes\n\t\tfor (int i = 0; i < numberOfOutputs; i++) {\n\t\t\tthetaOutput[i] += rate * errorOutput[i];\n\t\t}\n\n\t\t// update thetas at hidden nodes\n\t\tfor (int i = 0; i < numberOfMiddle; i++) {\n\t\t\tthetaMiddle[i] += rate * errorMiddle[i];\n\t\t}\n\t}","public void trainWeights(int numEpochs, int player, int winner) {\n // Will be using the boardStates member which has already encoded the\n // boards on the path to the endgame.\n // The board states must now be fit to a reinforcement learning curve.\n double[][] trainingOutput = new double[stateCount][1]; // this is the total output (useful if using an ANN).\n double nn_i_succ = 0.0;\n double nn_i = 0.0;\n\n //REALLY IMPORTANT: Training is from the perspective of the black player, so if black lost, training will\n //use negative values. If black won, it will be trained with positive values. This must be kept in mind\n //when querying the features for values!\n\n //every other value depends on this one.\n for (int i=stateCount-1; i>=0; i--) {\n //for convenience get the value of the nn at boardStates[i] and boardStates[i+1]\n if (i == stateCount-1) {\n if (winner == LOABoard.PLAYER_BLACK)\n nn_i_succ = 1;\n else if (winner == LOABoard.PLAYER_WHITE)\n nn_i_succ = -1;\n else // Draw\n nn_i_succ = 0;\n } else {\n nn_i_succ = DISCOUNT_FACTOR * nn_i;\n }\n\n nn_i = 0;\n for ( int j = 0; j < numberOfWeights; j++ )\n nn_i += boardStates[i][j] * weights[j];\n\n trainingOutput[i][0] = nn_i + LEARNING_RATE*(nn_i_succ-nn_i);\n\n for (int j=0; j< numberOfWeights; j++) {//each epoch involves training on every board state in the game\n weights[j] = weights[j] + LEARNING_RATE*(nn_i_succ-nn_i)*boardStates[i][j];\n }//for j\n }//for i\n\n ////begin debug\n//\t System.out.println(\"Debug Message: Displaying array trainingOutput (after fit to TD learning curve) \" + stateCount);\n//\t for (int debug =0; debug < trainingOutput.length; debug++) {\n//\t\tSystem.out.println(trainingOutput[debug][0]);\n// }\n ////done debug\n\n System.out.println(\"Debug Message: Displaying weights array after update.\");\n for (int i = 0; i < numberOfWeights; i++) {\n System.out.println(weights[i]);\n }\n\n System.out.println(\"Info Message: Done training weights on results from game.\");\n }","public ArrayList<Double> calculateForward(ArrayList<Example> data) {\n\t\t// store outputs from hidden layer for each example\n\t\t// array will have size # examples.\n\t\tArrayList<Double> nodeOutputs = new ArrayList<Double>();\n\n\t\t// randomly shuffle training data\n\t\tCollections.shuffle(data);\n\n\t\t// go through each example and calculate forwards\n\t\tfor (Example ex : data) {\n\t\t\t// get associated weight in hiddenWeights & calculate dot product,\n\t\t\t// run through tanh function\n\t\t\tdouble bias = ex.getFeature(ex.getFeatureSet().size() - 1);\n\t\t\tArrayList<Double> thisNodeOutputs = new ArrayList<Double>();\n\t\t\t// loop through features, and the weight vector for each feature\n\t\t\tfor (int n = 0; n < numHidden; n++) {\n\t\t\t\tdouble thisNode = 0.0; // get dot product of f & h for each node\n\t\t\t\tArrayList<Double> weightVec = hiddenWeights.get(n);\n\t\t\t\tSet<Integer> features = ex.getFeatureSet();\n\t\t\t\tIterator<Integer> iter = features.iterator();\n\t\t\t\tfor (int i = 0; i < features.size(); i++) {\n\t\t\t\t\tdouble featureVal = ex.getFeature(iter.next());\n\t\t\t\t\tdouble weight = weightVec.get(i);\n\t\t\t\t\tthisNode += weight * featureVal;\n\t\t\t\t}\n\t\t\t\tthisNodeOutputs.add(Math.tanh(thisNode * bias));\n\t\t\t}\n\t\t\thiddenOutputs.add(thisNodeOutputs);\n\t\t\t// now do same for output layer\n\t\t\tdouble outSum = 0.0;\n\t\t\tfor (int i = 0; i < numHidden; i++) {\n\t\t\t\tdouble w = layerTwoWeights.get(i);\n\t\t\t\tdouble output = thisNodeOutputs.get(i);\n\t\t\t\toutSum += w * output;\n\t\t\t}\n\t\t\tnodeOutputs.add(Math.tanh(outSum * bias));\n\t\t}\n\t\treturn nodeOutputs;\n\t}","@Override\n public int[] run(double[][] examples)\n {\n //System.out.println(\"Starting backprop\");\n if(verbose)\n {\n System.out.println(\"---------------------Begin Competitive Learning---------------------\");\n }\n maxClusters = (int)Math.round(parameters[2]);\n FeedForwardNeuralNetwork net = new FeedForwardNeuralNetwork(0,\n new int[]{examples[0].length, maxClusters}, ActivationFunction.LINEAR,\n ActivationFunction.LINEAR);\n lastDeltas = new double[net.getWeights().length];\n learningRate = parameters[0];\n momentum = parameters[1];\n maxIterations = parameters[3];\n\n int[] sizes = net.getSizes();\n\n int[] last = calculateWinners(examples, net);\n\n if(verbose)\n {\n System.out.println(\"Initial weights\");\n double[] weights = net.getWeights();\n for(int k = 0; k < weights.length; k++)\n {\n System.out.print(weights[k] + \", \");\n }\n System.out.println(\"Initial labels\");\n for(int k = 0; k < maxClusters; k++)\n {\n System.out.print(\"Cluster \" + k + \": \");\n for(int a = 0; a < last.length; a++)\n {\n if(last[a] == k)\n {\n System.out.print(a + \", \");\n }\n }\n System.out.println();\n }\n System.out.println();\n }\n\n int index = 0;\n for(int i = 1; i < maxIterations; i++)\n {\n double[] input = new double[sizes[0]];\n\n //separate input and output\n for(int a = 0; a < input.length; a++)\n {\n input[a] = examples[index][a];\n }\n index = (index + 1) % examples.length;\n\n //run backprop on it\n if(i % 1000 == 0 && verbose)\n {\n System.out.println(\"Iteration: \" + i);\n }\n if(verbose)\n {\n backprop(input, net, i % 1000 == 0);\n }\n else\n {\n backprop(input, net, false);\n }\n\n if(i % 1000 == 0)\n {\n int[] temp = calculateWinners(examples, net);\n if(verbose)\n {\n //System.out.println(\"Iteration: \" + i);\n /*System.out.println(\"Current labels\");\n for(int k = 0; k < last.length; k++)\n {\n System.out.println(k + \": \" + temp[k]);\n }\n System.out.println();*/\n }\n boolean same = true;\n for(int j = 0; j < temp.length; j++)\n {\n if(last != temp)\n {\n same = false;\n break;\n }\n }\n\n if(same)\n {\n if(verbose)\n {\n System.out.println(\"Final weights\");\n double[] weights = net.getWeights();\n for(int k = 0; k < weights.length; k++)\n {\n System.out.print(weights[k] + \", \");\n }\n System.out.println(\"Final labels\");\n for(int k = 0; k < maxClusters; k++)\n {\n System.out.print(\"Cluster \" + k + \": \");\n for(int a = 0; a < last.length; a++)\n {\n if(last[a] == k)\n {\n System.out.print(a + \", \");\n }\n }\n System.out.println();\n }\n System.out.println();\n System.out.println(\"----------------------End Competitive Learning----------------------\");\n }\n return temp;\n }\n else\n {\n last = temp;\n }\n }\n }\n if(verbose)\n {\n System.out.println(\"Final weights\");\n double[] weights = net.getWeights();\n for(int k = 0; k < weights.length; k++)\n {\n System.out.print(weights[k] + \", \");\n }\n System.out.println(\"Final labels\");\n for(int k = 0; k < maxClusters; k++)\n {\n System.out.print(\"Cluster \" + k + \": \");\n for(int a = 0; a < last.length; a++)\n {\n if(last[a] == k)\n {\n System.out.print(a + \", \");\n }\n }\n System.out.println();\n }\n System.out.println();\n System.out.println(\"----------------------End Competitive Learning----------------------\");\n }\n\n return calculateWinners(examples, net);\n }","public void train(){\r\n\t\tdouble output = 0.0;\r\n\t\tList<Integer> teacher = null;\r\n\t\tdouble adjustedWeight = 0.0;\r\n\t\tdouble error = 0.0;\r\n\t\tdouble deltaK = 0.0;\r\n\r\n\t\tfor(int counter = 0; counter < maxEpoch; counter++){\r\n\t\t\tfor(Instance inst : trainingSet){\r\n\t\t\t\tcalculateOutputForInstance(inst);\r\n\t\t\t\tteacher = inst.classValues;\r\n\t\t\t\t//jk weight\r\n\t\t\t\tfor(int i = 0; i < outputNodes.size(); i++){\r\n\t\t\t\t\tNode kNode = outputNodes.get(i);\r\n\t\t\t\t\toutput = kNode.getOutput();\r\n\t\t\t\t\terror = teacher.get(i) - output;\r\n\t\t\t\t\tdeltaK = error*getReLU(kNode.getSum());\r\n\t\t\t\t\tfor(int j = 0; j < kNode.parents.size(); j++){\r\n\t\t\t\t\t\tNodeWeightPair jkWeight = kNode.parents.get(j);\r\n\t\t\t\t\t\tNode jNode = jkWeight.node;\r\n\t\t\t\t\t\tadjustedWeight = getJK(jNode, deltaK);\r\n\t\t\t\t\t\tjkWeight.weight += adjustedWeight;\r\n\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t\t//ij weight\r\n\t\t\t\tfor(int i = 0; i < hiddenNodes.size(); i++){\r\n\t\t\t\t\tNode jNode = hiddenNodes.get(i);\r\n\t\t\t\t\tif(jNode.parents == null) continue;\r\n\t\t\t\t\tfor(int j = 0; j < jNode.parents.size(); j++){\r\n\t\t\t\t\t\tNodeWeightPair ijWeight = jNode.parents.get(j);\r\n\t\t\t\t\t\tNode iNode = ijWeight.node;\r\n\t\t\t\t\t\tadjustedWeight = getIJ(iNode, jNode, teacher, i);\r\n\t\t\t\t\t\tijWeight.weight += adjustedWeight;\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t}","public void calculate() {\r\n\t\tint bias = hasBias();\r\n\r\n\t\tfor(int i = bias; i < getNeurons().size(); i++) {\r\n\t\t\tgetNeurons().get(i).activate(); \r\n\t\t}\r\n\t}","public NeuralNetworkForwardPropagation() {\n super(\"Neural-network forward-propagation\");\n }","void backpropagate(float[] inputs, float... targets);","public static Double[] learnSimplePerceptronRound2(Data data1[],int index,double LearningRate,Double w[],HashMap<Integer, Integer> words)\r\n \t{\r\n \t\t//Double w[] = new Double[20]; \r\n \t/*\tDouble min =-0.01; // Set To Your Desired Min Value\r\n\t Double max = 0.01;\r\n \t\tdouble smallRandNumber = min + new Random().nextDouble() * (max - min); \r\n \t\tArrays.fill(w, smallRandNumber);*/\r\n \t\t\r\n \t\tData data[] = Arrays.copyOf(data1,index);\r\n \t\t\r\n \t\t//shuffle the data..\r\n \t \tArrayList<Data> arrayList = new ArrayList<Data>(Arrays.asList(Arrays.copyOf(data,index))); \r\n \t\tCollections.shuffle(arrayList,new Random(10));\r\n \t\tdata = arrayList.toArray(new Data[arrayList.size()]);\r\n \t\tfor(int i=0;i<index;i++)\r\n \t\t{\r\n \t\t\tdouble trueLabel;\r\n \t\t\tdouble predictedLabel;\r\n \t\t\tdouble dotProduct_wT_x = 0.0f;\r\n \t\t\tHashMap<Integer, Double> x = new HashMap<Integer, Double>();\r\n \t\t \r\n \t\t\ttrueLabel = data[i].getY();\r\n \t\t\tx= data[i].getX();\r\n \t\t\tboolean correct=false;\r\n \t\t\t// loop till its corrects..\r\n \t\t\t\r\n \t\t\twhile(correct==false)\r\n \t\t\t{\r\n \t\t\t//wT*x (contains bias)\r\n \t\t\tfor (Map.Entry<Integer, Double> entry : x.entrySet()) {\r\n \t\t\t\tdotProduct_wT_x = dotProduct_wT_x + w[entry.getKey()] * entry.getValue();\r\n \t\t\t}\r\n \t\t\t\r\n \t\t\t//predict the label\r\n \t\t\tif(dotProduct_wT_x < 0)\r\n \t\t\t\tpredictedLabel = -1;\r\n \t\t\telse\t\r\n \t\t\t\tpredictedLabel = +1;\r\n \t\t\t\r\n \t\t\t//check if prediction is correct, if not update the weight vector and bias.\r\n \t\t\tif(predictedLabel != trueLabel)\r\n \t\t//\tif(dotProduct_wT_x<0)\r\n \t\t\t{\r\n \t\t\t\t//update bias\r\n \t\t\t\tw[0]=w[0]+trueLabel*LearningRate;\r\n \t\t\t\t\r\n \t\t\t\t//update all other weights only if those words are worthy tracking\r\n \t\t\t\r\n \t\t\t\tfor(int j=1;j<w.length;j++)\r\n \t\t\t\t{\r\n \t\t\t\t\t// if(x.containsKey(j))\r\n \t\t\t\t if(x.containsKey(j))\r\n \t\t\t\t//\t if(words.containsKey(j)) //give more weightage to words that matter\r\n \t\t\t//\t\t\t\tw[j]=w[j]+LearningRate*trueLabel*(x.get(j));\r\n \t\t\t\t//\t else\r\n\t\t\t\t\t\t\tw[j]=w[j]+LearningRate*trueLabel*x.get(j);\r\n\r\n \t\t\t\t//\telse\r\n \t\t\t//\t\t\tw[j]=(double)0;\r\n \t\t\t\t}\r\n \t\t\t}\r\n \t\t\telse\r\n \t\t\t\tcorrect=true;\r\n \t\t }\r\n \t\t}\r\n \t\treturn w;\r\n \t}","public void train(int iterations) {\n\t\tNeuron n = new NeuronSigmoid();\n\t\t\n\t\tfor (int i = 0; i < iterations; i++) {\n\t\t\tSystem.out.print(\"Epoch: \" +(i+1));\n\t\t\tdouble[][] localOutput = n.think(this.input,this.weights);\n\n\t\t\tdouble[][] error = Matrix2d.subtract(output, localOutput);\n\t\t\tSystem.out.print(\" Error: \"+calcOverallError(error));\n\t\t\tdouble[][] sigDeriv = Matrix2d.sigmoidDerivative(localOutput);\n\t\t\tdouble[][] prod = Matrix2d.multiply(error, sigDeriv);\n\t\t\tdouble[][] transInput = Matrix2d.transposeMatrix(input);\n\t\t\tdouble[][] adjustment = Matrix2d.dot(transInput, prod);\n\n\t\t\tweights = Matrix2d.add(adjustment, weights);\n\t\t\tSystem.out.println(\"\");\n\t\t}\n\t}","public static void runDecayingRatePerceptron(Data[] data, int index,String testFileName,HashMap<Integer,Integer> words)\r\n{\r\nint t=0;\r\ndouble LearningRates[] = {1, 0.1, 0.01};\r\n\tint minInt =0; // Set To Your Desired Min Value\r\n int maxInt =2;\r\n\tRandom rand = new Random();\r\n\t\r\n\tint randomNum = rand.nextInt((maxInt - minInt) + 1) + minInt;\r\n\r\n\tdouble LearningRate = LearningRates[randomNum];\r\n\t\r\n\t\r\nfor(int i=0;i<LearningRates.length;i++)\r\n{\r\nLearningRate = LearningRates[i];\r\ndouble devAccuracyTotal = (double)0;\r\nint noOfEpochs= 20;\r\nint decreaseRate = 0;\r\n\r\n\tDouble w[] = new Double[74500];\r\n\tDouble min =-0.01; // Set To Your Desired Min Value\r\nDouble max = 0.01;\r\n\t\tdouble smallRandNumber = min + new Random().nextDouble() * (max - min); \r\n\t\tArrays.fill(w, smallRandNumber);\r\n\t\t\r\nfor(int epoch=0;epoch<noOfEpochs;epoch++)\r\n{\r\n\t \tw = learnDecayingPerceptron(data,index,LearningRate,decreaseRate,w);\r\n\t \tdecreaseRate = decreaseRate + index;\r\n\r\n}\r\n// \tfor(int i=0;i<w.length;i++)\r\n// \t\t\tSystem.out.println(w[i]);\r\n//print data \t\r\n// \tfor (Map.Entry<Integer, Double> entry : x.entrySet()) {\r\n// System.out.println(\"\"+entry.getKey() + \" \" + entry.getValue());\r\n//\t \t}\r\n \t \t\r\n\t//keep decreaseRate increasing across epochs, by increasing 1 for each example.\r\n\tdouble cvAccuracy = testTestFile(w,testFileName,words);\r\n\t\r\n//\tSystem.out.println(\"Epoch\" + epoch +\" Dev Accuracy for Decaying Learning Rate \" + LearningRate + \" is \" + cvAccuracy);\r\n\r\n\r\nSystem.out.println(\" ** Cv Accuracy for Decaying Learning Rate \" + LearningRate + \" is \" + cvAccuracy);\r\nSystem.out.println(\" \");\r\n}\r\n\r\n//double testAccuracy = testTestFile(w,testFileName);\r\n\t//System.out.println(\"test Accuracy\" + testAccuracy);\r\n}","void BP(Double learningRate){ //call BP() on each neuron except Bias Neuron\n for (int i = 0; i < neurons.size() -1; i++){\n neurons.get(i).BP(learningRate);\n }\n }","@Procedure(value = \"mlp.train\", mode = WRITE)\n @Description(\"Backward pass through NN\")\n public void train(@Name(value = \"no. of passes\") long nPasses) {\n\n DataLogger logger = new DataLogger(\"proto1\", \"error\");\n\n for (int i = 0; i < nPasses; i++) {\n updateTrainRate(i + 1);\n forwardPass();\n\n double error = calculateError();\n\n double reward = 1.0 - error;\n\n// if (Math.random() > 0.9) reward = error;\n\n backwardPass(reward);\n moveNext();\n\n\n// System.out.println(String.format(\"Error: %f\", error));\n// if (i % 100 == 0 && i > 0) {\n// double meanError = errors.stream().reduce(0.0, Double::sum) / 100;\n// System.out.println(String.format(\n// \"Mean error: %f, eta: %f\", meanError, eta));\n// errors.clear();\n// }\n// errors.add(error);\n logger.append(error);\n\n\n }\n\n forwardPass();\n logger.close();\n }","@Override\n\tvoid bp_adam(double learning_rate, int epoch_num) {\n\t\t\n\t}","public void testLBFGS() throws Exception {\n\t\tList<? extends TrainingSequence<?>> data = IntInput.prepareData(\"001111\\n001111\\n001111\\n001111\\n001111\\n001111\\n001111\\n001111\\n\");\n\t\tModelManager m = new TestFeatureManager(1);\n\n\t\tStandardOptimizer opt = new StandardOptimizer();\n\t\topt.setStarts(new double[] {0.1});\n\t\topt.setEpsForConvergence(0.001);\n\t\topt.setObjectiveFunction(new MaximumLikelihoodGradient());\n\t\tdouble[] weights = opt.optimize(m, data);\n\t\tassertEquals(2.0, weights[0], 0.01);\n\t}","private double[][] forwardPropogate(double[][] inputs, double[][] weights) {\n\t\tdouble[][] resultLayer = m.dot(inputs, weights);\n\t\tsigmoid(resultLayer);\n\t\treturn resultLayer;\n\t}","@Override\n public void backward() {\n Tensor x = modInX.getOutput();\n Tensor tmp = new Tensor(yAdj); // copy\n tmp.elemDivide(x);\n modInX.getOutputAdj().elemAdd(tmp);\n }","public void calculateGradients(int dataIndex, double learningRate){\r\n for (int i = 0; i < outputLayer.length; i++) {\r\n for (int j = 0; j < outputLayer[i].weights.length; j++) {\r\n outputLayer[i].dw[j] = -2*((attribute[dataIndex] == i ? 1 : 0) - sigmoid(outputLayer[i].z))*sigmoidDeri(outputLayer[i].z)*outputLayer[i].data[j];\r\n }\r\n outputLayer[i].db = -2*((attribute[dataIndex] == i ? 1 : 0) - sigmoid(outputLayer[i].z))*sigmoidDeri(outputLayer[i].z);\r\n }\r\n\r\n adjust(learningRate, true);\r\n calculateDesireHiddenLayerActivation(dataIndex);\r\n\r\n for (int i = 0; i < hiddenLayer.length; i++) {\r\n for (int j = 0; j < hiddenLayer[i].weights.length; j++) {\r\n hiddenLayer[i].dw[j] = -2*(desireHiddenLayerActivation[i] - hiddenLayer[i].a)*sigmoidDeri(hiddenLayer[i].z)*hiddenLayer[i].data[j];\r\n }\r\n hiddenLayer[i].db = -2*(desireHiddenLayerActivation[i] - hiddenLayer[i].a)*sigmoidDeri(hiddenLayer[i].z);\r\n }\r\n\r\n adjust(learningRate, false);\r\n }","public void train(double learningR, int index, int i){\n\t\t \n\t\tdouble output = outputL.getIntermediateData(i)[index];\n\t\terrorGradient = output *(1-output) * outputL.getErrorGradient() * outputL.getWeights()[index];\n\t\t\t\t \n\t\t\t\t\n\t\tfor (int j = 0; j < inputs; j++) {\n\t\t\tweights[j] += delta(learningR, data[i][j], errorGradient);\n\t\t}\n\t\t\t\n\t\tthreshold += delta(learningR, -1, errorGradient);\n\t\t\t\n\t\t\t\t\n\t}","private static boolean bayesian() {\n\t\tSystem.out.println(\"BAYESIAN\");\n\t\t\n//\t\tFFNeuralNetwork ffnn = new FFNeuralNetwork(ActivationFunction.SIGMOID0p5,5,5);\n\t\tModelLearner modeler = new ModelLearnerHeavy(100, new int[] {}, new int[] {5},\n\t\t\t\tnew int[] {}, ActivationFunction.SIGMOID0p5, 10);\n\t\t\n\t\tCollection<DataPoint> data = new ArrayList<DataPoint>();\n\t\tdata.add(new DataPoint(new double[] {0,0,1,0,0}, new double[] {0,0,0,1,0})); // move right\n\t\tdata.add(new DataPoint(new double[] {0,0,1,0,0}, new double[] {0,1,0,0,0})); // move left\n\t\tdata.add(new DataPoint(new double[] {0,1,0,0,0}, new double[] {1,0,0,0,0})); // move left again\n\t\tdata.add(new DataPoint(new double[] {0,0,0,1,0}, new double[] {0,0,1,0,0})); // move back to center\n\t\tdata.add(new DataPoint(new double[] {0,0,0,1,0}, new double[] {0,0,0,0,0})); // disappear\n\t\t\n//\t\tControlPanel.learnFromBackPropagation(ffnn.getInputNodes(), ffnn.getOutputNodes(), data,\n//\t\t\t\t10000, 1,1,0,0,0,0);\n\t\tfor (DataPoint dp : data) {\n\t\t\tmodeler.observePreState(dp.getInput());\n\t\t\tmodeler.observePostState(dp.getOutput());\n\t\t\tmodeler.saveMemory();\n\t\t}\n\t\tmodeler.learnFromMemory(1.5,0.5,0, false, 1000);\n\t\tmodeler.getTransitionsModule().getNeuralNetwork().report(data);\n\t\t\n\t\tdouble[] foresight = Foresight.montecarlo(modeler, new double[] {0,0,1,0,0}, null, null, 1, 10000, 10, 0.1);\n\t\tfor (double d : foresight) System.out.print(d + \"\t\");\n\t\tSystem.out.println(near(foresight[0],0) && near(foresight[1],0.5) && near(foresight[2],0)\n\t\t\t\t&& near(foresight[3],0.5) && near(foresight[4],0)\n\t\t\t\t? \"montecarlo 1 ok\" : \"montecarlo 1 sucks\");\n\t\tforesight = Foresight.montecarlo(modeler, new double[] {0,0,1,0,0}, null, null, 2, 10000, 10, 0.1);\n\t\tfor (double d : foresight) System.out.print(d + \"\t\");\n\t\tSystem.out.println(near(foresight[0],0.5) && near(foresight[1],0) && near(foresight[2],0.25)\n\t\t\t\t&& near(foresight[3],0) && near(foresight[4],0)\n\t\t\t\t? \"montecarlo 2 ok\" : \"montecarlo 2 sucks\");\n\n\t\treturn false;\n\t}","private double[] getNextLayer(double[] prevLayer, double[][] weights, double[] biases) {\n double[] output = new double[weights.length];\n for (int i = 0; i < output.length; i++) {\n // Runs for each output node.\n double outputI = 0.0;\n for (int j = 0; j < weights[i].length; j++) {\n // Runs for each input node connected to that output node.\n outputI += weights[i][j] * prevLayer[j];\n }\n outputI += biases[i];\n output[i] = sigmoid(outputI);\n }\n return output;\n }","NeuralNetwork mutate(float rate);","public static Double[] learnSimplePerceptron(Data data1[],int index,double LearningRate,Double w[],HashMap<Integer, Integer> words)\r\n \t{\r\n \t\t\r\n \t\tData data[] = Arrays.copyOf(data1,index);\r\n \t\t\r\n \t\t//shuffle the data..\r\n \t \tArrayList<Data> arrayList = new ArrayList<Data>(Arrays.asList(Arrays.copyOf(data,index))); \r\n \t\tCollections.shuffle(arrayList,new Random(10));\r\n \t\tdata = arrayList.toArray(new Data[arrayList.size()]);\r\n \t\tfor(int i=0;i<index;i++)\r\n \t\t{\r\n \t\t\tdouble trueLabel;\r\n \t\t\tdouble predictedLabel;\r\n \t\t\tdouble dotProduct_wT_x = 0.0f;\r\n \t\t\tHashMap<Integer, Double> x = new HashMap<Integer, Double>();\r\n \t\t \r\n \t\t\ttrueLabel = data[i].getY();\r\n \t\t\tx= data[i].getX();\r\n \t\t\t \r\n \t\t\t\r\n \t\t \r\n \t\t\t//wT*x (contains bias)\r\n \t\t\tfor (Map.Entry<Integer, Double> entry : x.entrySet()) {\r\n \t\t\t\tdotProduct_wT_x = dotProduct_wT_x + w[entry.getKey()] * entry.getValue();\r\n \t\t\t}\r\n \t\t\t\r\n \t\t\t//predict the label\r\n \t\t\tif(dotProduct_wT_x < 0)\r\n \t\t\t\tpredictedLabel = -1;\r\n \t\t\telse\t\r\n \t\t\t\tpredictedLabel = +1;\r\n \t\t\t\r\n \t\t\t//check if prediction is correct, if not update the weight vector and bias.\r\n \t\t\tif(predictedLabel != trueLabel)\r\n \t\t//\tif(dotProduct_wT_x<0)\r\n \t\t\t{\r\n \t\t\t\t//update bias\r\n \t\t\t\tw[0]=w[0]+trueLabel*LearningRate;\r\n \t\t\t\t\r\n \t\t\t\t\r\n \t\t\t\t//update all other weights only if those words are worthy tracking\r\n \t\t\t\r\n \t\t\t\tfor(int j=1;j<w.length;j++)\r\n \t\t\t\t{\r\n \t\t\t\t\t// if(x.containsKey(j))\r\n \t\t\t\t if(x.containsKey(j))\r\n \t\t\t \t//\t if(words.containsKey(j)) //give more weightage to words that matter\r\n \t\t \t\t\t \tw[j]=w[j]+LearningRate*trueLabel*x.get(j);\r\n\r\n \t\t\t\t//\telse\r\n \t\t\t//\t\t\tw[j]=(double)0;\r\n \t\t\t\t \r\n \t\t\t\r\n \t\t\t\t \r\n \t\t\t\t}\r\n \t\t\t}\r\n \t\t \r\n \t\t}\r\n \t\treturn w;\r\n \t}","private void train(float[] inputs, int desired) {\r\n int guess = feedforward(inputs);\r\n float error = desired - guess;\r\n for (int i = 0; i < weights.length; i++) {\r\n weights[i] += c * error * inputs[i];\r\n }\r\n }","public void fit(double[][] data) {\n double n = data.length;\n\n double sum1 = 0;\n double sum2 = 0;\n\n // gradient descent\n for (int i = 0; i < epochs; i++) {\n\n for (double[] d : data) {\n double x = d[0];\n double y = d[1];\n double yPredicted = sigmoid((m * x) + b);\n\n sum1 += x * (y - yPredicted);\n sum2 += y - yPredicted;\n }\n\n // calculate the derivative\n double dm = (-2/n) * sum1;\n double db = (-2/n) * sum2;\n\n // update m and b\n m = m - (learningRate * dm);\n b = b - (learningRate * db);\n }\n\n }","private void trainPerceptron() {\n\t\t// Creates a log of that contains the percentage each epoch got correct\n\t\tint numWrong = images.size();\n\t\tint numReps = 0;\n\n\t\t// Repeat the training process TIMES_TO_REPEAT number of times or until\n\t\t// there are none wrong\n\t\tfor (int repetition = 0; repetition < TIMES_TO_REPEAT && numWrong != 0; repetition++) {\n\t\t\tint numCorrect = 0;\n\n\t\t\t// Iterate through each image in the set of image\n\t\t\tfor (PerceptronImage image : images) {\n\t\t\t\tdouble netInput = 0;\n\n\t\t\t\t// Work out the net input by evaluating each feature on the\n\t\t\t\t// image\n\t\t\t\tfor (Feature feature : features) {\n\t\t\t\t\tnetInput += feature.evaluate(image) * feature.getWeight();\n\t\t\t\t}\n\n\t\t\t\t// If the image is evaluated to be an X\n\t\t\t\tif (netInput <= 0) {\n\t\t\t\t\t// If it actually is an X then record it\n\t\t\t\t\tif (image.isX()) {\n\t\t\t\t\t\tnumCorrect++;\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// If it is not then re-weight features\n\t\t\t\t\t\tfor (Feature feature : features) {\n\t\t\t\t\t\t\tdouble newWeight = feature.getWeight()\n\t\t\t\t\t\t\t\t\t+ feature.evaluate(image) * learningRate;\n\t\t\t\t\t\t\tfeature.setWeight(newWeight);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// If the image is evaluated to be not an X\n\t\t\t\t\t// If it actually not an X then record it\n\t\t\t\t\tif (!image.isX()) {\n\t\t\t\t\t\tnumCorrect++;\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// If it is not then re-weight features\n\t\t\t\t\t\tfor (Feature feature : features) {\n\t\t\t\t\t\t\tdouble newWeight = feature.getWeight()\n\t\t\t\t\t\t\t\t\t- feature.evaluate(image) * learningRate;\n\t\t\t\t\t\t\tfeature.setWeight(newWeight);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Update the number of images wrong for this epoch\n\t\t\tnumWrong = images.size() - numCorrect;\n\n\t\t\t// Modify the learning rate\n\t\t\tif (learningRate > LEARNING_RATE_MINIMUM) {\n\t\t\t\tlearningRate *= LEARNING_RATE_MODIFIER;\n\t\t\t}\n\n\t\t\tnumReps++;\n\t\t}\n\n\t\ttry {\n\t\t\tPrintWriter writer = new PrintWriter(\"output.txt\");\n\t\t\t\n\t\t\t// Print out the number of repetitions if the perceptron converged,\n\t\t\t// otherwise print out the number of images that are still classified\n\t\t\t// incorrectly\n\t\t\tif (numWrong == 0) {\n\t\t\t\twriter.println(\"Perceptron converged\");\n\t\t\t\twriter.println(\"Number of repetitions: \" + numReps);\n\t\t\t\tSystem.out.println(\"Perceptron converged\");\n\t\t\t\tSystem.out.println(\"Number of repetitions: \" + numReps);\n\t\t\t} else {\n\t\t\t\twriter.println(\"Perceptron did not converge\");\n\t\t\t\twriter.println(\"Number of images still incorrect: \" + numWrong);\n\t\t\t\tSystem.out.println(\"Perceptron did not converge\");\n\t\t\t\tSystem.out.println(\"Number of images still incorrect: \" + numWrong);\n\t\t\t}\n\n\t\t\twriter.println(\"\\nEnding learning Rate: \" + learningRate + \"\\n\");\n\t\t\tSystem.out.println(\"\\nEnding learning Rate: \" + learningRate + \"\\n\");\n\t\t\t\n\t\t\tfor (Feature feature : features){\n\t\t\t\tSystem.out.println(feature.toString());\n\t\t\t\twriter.println(feature.toString());\n\t\t\t}\n\t\t\twriter.close();\n\t\t} catch (FileNotFoundException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\t}","public static void XOR() {\n System.out.println(\"---\");\n System.out.println(\"This section will create, and train a neural network with the topology of 2-2-1. That is\\n\" +\n \"there are 2 input neurons, 2 hidden neurons, and 1 output neuron. The XOR problem will be using the\\n\" +\n \"XOR_training_data.txt file to get the training data. In order to make training simpler, the 0's have\\n\" +\n \"been substituted with -1's.\");\n System.out.println(\"Training...\");\n NeuralNetwork xor = (NeuralNetwork)StochasticBackPropagation.SBP(2, 2, 1, \"XOR_training_data.txt\", 20000, 0.1, 0.05);\n System.out.println(\"Trained.\");\n\n double[] input = new double[2];\n System.out.println(\"Input: -1 -1\");\n input[0] = -1;\n input[1] = -1;\n double[] output = xor.feedForward(input);\n System.out.println(\"Expected Output: -1\");\n System.out.println(\"Actual Output: \"+Math.round(output[0])); //rounding to make output cleaner.\n\n System.out.println(\"Input: -1 1\");\n input[0] = -1;\n input[1] = 1;\n output = xor.feedForward(input);\n System.out.println(\"Expected Output: 1\");\n System.out.println(\"Actual Output: \"+Math.round(output[0]));\n\n System.out.println(\"Input: 1 -1\");\n input[0] = 1;\n input[1] = -1;\n output = xor.feedForward(input);\n System.out.println(\"Expected Output: 1\");\n System.out.println(\"Actual Output: \"+Math.round(output[0]));\n\n System.out.println(\"Input: 1 1\");\n input[0] = 1;\n input[1] = 1;\n output = xor.feedForward(input);\n System.out.println(\"Expected Output: -1\");\n System.out.println(\"Actual Output: \"+Math.round(output[0]));\n System.out.println(\"---\\n\");\n }","public void train() {\n\t\tfor (int i = 0; i < numberOfIterations; i++) {\n\t\t\t// for each training record\n\t\t\tfor (int j = 0; j < numberOfRecords; j++) {\n\t\t\t\t// calculate inputs and outputs\n\t\t\t\tforwardCalculation(records.get(j).input);\n\t\t\t\t// compute errors, update weights and thetas\n\t\t\t\tbackwardCalculation(records.get(j).output);\n\t\t\t}\n//\t\t\tpostprocessOutputs();\n\t\t}\n\t}","@Override\n\tpublic void run() {\n\t\ttotal = 0;\n\t\tfor (Node n : inputs) {\n\t\t\ttotal += n.output * weights.get(n).getWeight();\n\t\t}\n\t\ttotal += bias * biasWeight.getWeight();\n\t\toutput = activationFunction.run(total);\n\t}","public static void main(String[] args) throws IOException {\n Date date = Calendar.getInstance().getTime();\n DateFormat dateFormat = new SimpleDateFormat(\"yyyy-MM-dd HH.mm.ss\");\n String strDate = dateFormat.format(date);\n String pathString = \"C:/Users/Akshay/Desktop/RL LUT Values/Neural Net Outputs/\"+strDate+\"/\";\n File dir = new File(pathString);\n dir.mkdirs();\n\n String pathStringWeights = pathString+\"Final Weights/\";\n File dirWeights = new File(pathStringWeights);\n dirWeights.mkdirs();\n\n\n //Declare All Variables\n double[][][][][][] LUT = new double[6][4][4][4][4][8];\n\n //Read Input LUT\n String pathToLut = \"C:/Users/Akshay/Desktop/RL LUT Values/Battle 3.txt\";\n loadLutToArray(LUT, pathToLut);\n\n //Initialize Neural Net\n int numInputNeurons = 13; //5 State Variables and 8 for Action with 1 hot Encoding\n int numHiddenNeurons = 20;\n int numOutputNeurons = 1;\n\n double learningRate = 0.01;\n double momentum = 0.5;\n\n double argA = 0;\n double argB = 0;\n\n int t = 1;\n String activation = \"\";\n switch (t) {\n case 1:\n activation = \"Bipolar Sigmoid\";\n break;\n case 2:\n activation = \"Tan Hyperbolic\";\n break;\n default:\n activation = \"Sigmoid\";\n }\n\n double E = 0;\n\n NeuralNet nn1 = new NeuralNet(numInputNeurons, numHiddenNeurons, numOutputNeurons, learningRate, momentum, argA, argB);\n nn1.initWeights(-0.5, 0.5);\n\n //Track Epoch using k\n int k = 0;\n String s = \"Activation = \"+activation+\"\\nLearning Rate = \"+learningRate+\"\\nMomentum = \"+momentum+\"\\nHidden Neurons = \"+numHiddenNeurons;\n\n while(true){\n k++;\n\n if(k>10000){\n String identifier = k+\".\";\n nn1.saveWeights(pathStringWeights,identifier);\n break;\n }\n\n //Start Loop Across LUT\n for(int d = 0; d < 6; d++){\n double di = absScale(d,0,5,-0.8,0.8);\n for(int men = 0; men < 4; men++){\n double meni = absScale(men,0,3,-0.8,0.8);\n for(int een = 0; een < 4; een++){\n double eeni = absScale(een,0,3,-0.8,0.8);\n for(int ex = 0; ex < 4; ex++){\n double exi = absScale(ex,0,3,-0.8,0.8);\n for(int yi = 0; yi < 4; yi++){\n double yii = absScale(yi,0,3,-0.8,0.8);\n for(int act = 0; act < 8; act++){\n //Each action needs to be 1 hot encoded\n double x[] = new double[13];\n switch(act){\n case 0: x = new double[] {di,meni,eeni,exi,yii,0.8,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8};\n break;\n case 1: x = new double[] {di,meni,eeni,exi,yii,-0.8,0.8,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8};\n break;\n case 2: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,0.8,-0.8,-0.8,-0.8,-0.8,-0.8};\n break;\n case 3: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,-0.8,0.8,-0.8,-0.8,-0.8,-0.8};\n break;\n case 4: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,-0.8,-0.8,0.8,-0.8,-0.8,-0.8};\n break;\n case 5: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,-0.8,-0.8,-0.8,0.8,-0.8,-0.8};\n break;\n case 6: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8,0.8,-0.8};\n break;\n case 7: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8,0.8};\n break;\n }\n\n //Defining Training Output For ErrorBackPropagation\n double y[] = {absScale(LUT[d][men][een][ex][yi][act],-1000,1000,-0.8,0.8)};\n\n //Error Back Propagation\n nn1.propagateForward(x,t);\n nn1.propagateBackwardOutput(y,t);\n nn1.weightUpdateOutput(learningRate,momentum);\n nn1.propagateBackwardHidden(t);\n nn1.weightUpdateHidden(learningRate,momentum,x);\n\n E = E + Math.pow((nn1.finalOutput[0] - y[0]),2);\n }\n }\n }\n }\n }\n }\n //RMS Error This Time. Not Total Error\n E = Math.sqrt(E/(12288));\n //Perfect Condition Stuff\n /*if(E<=0.05){\n //System.out.println(\"Trial Number: \"+loop+\" Converged at Epoch \"+k);\n String identifier = k+\".\";\n nn1.saveWeights(pathStringWeights,identifier);\n break;\n }*/\n\n //End of Epoch Code Goes Here\n String cmdOp = \"Epoch \"+k+\", Error = \"+E;\n System.out.println(cmdOp);\n\n s = s + \"\\n\" + k + \" \" + E;\n writeToFile(pathString+\"Stats.txt\",s);\n E = 0;\n }\n }","public void generatingNetwork(String path, int maxIterations, double learningRate, double maxError) {\n neuroNetwork = new MultiLayerPerceptron(TransferFunctionType.SIGMOID, ENTRYNODES, INTERMEDIATENODES, OUTPUTNODES);\n // create DataSet\n dataset = DataSet.createFromFile(path, ENTRYNODES, OUTPUTNODES, \" \", true);\n\n //Normalizing data\n MaxMinNormalizer normalizing = new MaxMinNormalizer();\n normalizing.normalize(dataset);\n\n //Implementing Learning Rule\n learningRule = new BackPropagation();\n learningRule.setNeuralNetwork(neuroNetwork);\n learningRule.setLearningRate(learningRate);\n learningRule.setMaxError(maxError);\n learningRule.setMaxIterations(maxIterations);\n\n SubSampling samples = new SubSampling(TRAINPERCENTAGE, 100 - TRAINPERCENTAGE);\n List<DataSet> dataSets = samples.sample(dataset);\n dataTraining = dataSets.get(0);\n dataTest = dataSets.get(1);\n\n neuroNetwork.learn(dataTraining, learningRule);\n String[] name = path.split(\"_\");\n File finalFile = new File(\"Expressions\\\\Final_\" + name[1]);\n this.Finalfile = finalFile;\n if (!finalFile.exists()) {\n try {\n finalFile.createNewFile();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }\n\n int i = 0;\n double error;\n double diff = 0.0;\n\n FileOutputStream fos = null;\n try {\n fos = new FileOutputStream(finalFile, true);\n } catch (FileNotFoundException e) {\n e.printStackTrace();\n }\n BufferedWriter line = new BufferedWriter(new OutputStreamWriter(fos));\n\n for (DataSetRow dataRow : this.dataTraining.getRows()) {\n neuroNetwork.setInput(dataRow.getInput());\n neuroNetwork.calculate();\n double[] networkOutput = neuroNetwork.getOutput();\n double[] networkDesiredOutput = dataRow.getDesiredOutput();\n diff += Math.pow(networkOutput[0] - networkDesiredOutput[0], 2);\n\n\n i++;\n }\n error = diff / i;\n try {\n line.write(\"Train error: \" + error);\n line.newLine();\n line.close();\n } catch (IOException e) {\n e.printStackTrace();\n }\n\n\n }","public NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Double [][]hiddenWeights, Double[] outputWeights)\r\n\t{\r\n\t\tthis.trainingSet=trainingSet;\r\n\t\tthis.learningRate=learningRate;\r\n\t\tthis.maxEpoch=maxEpoch;\r\n\r\n\t\t//input layer nodes\r\n\t\tinputNodes=new ArrayList<Node>();\r\n\t\tint inputNodeCount=trainingSet.get(0).attributes.size();\r\n\t\tint outputNodeCount=1;\r\n\t\tfor(int i=0;i<inputNodeCount;i++)\r\n\t\t{\r\n\t\t\tNode node=new Node(0);\r\n\t\t\tinputNodes.add(node);\r\n\t\t}\r\n\r\n\t\t//bias node from input layer to hidden\r\n\t\tNode biasToHidden=new Node(1);\r\n\t\tinputNodes.add(biasToHidden);\r\n\r\n\t\t//hidden layer nodes\r\n\t\thiddenNodes=new ArrayList<Node> ();\r\n\t\tfor(int i=0;i<hiddenNodeCount;i++)\r\n\t\t{\r\n\t\t\tNode node=new Node(2);\r\n\t\t\t//Connecting hidden layer nodes with input layer nodes\r\n\t\t\tfor(int j=0;j<inputNodes.size();j++)\r\n\t\t\t{\r\n\t\t\t\tNodeWeightPair nwp=new NodeWeightPair(inputNodes.get(j),hiddenWeights[i][j]);\r\n\t\t\t\tnode.parents.add(nwp);\r\n\t\t\t}\r\n\t\t\thiddenNodes.add(node);\r\n\t\t}\r\n\r\n\t\t//bias node from hidden layer to output\r\n\t\tNode biasToOutput=new Node(3);\r\n\t\thiddenNodes.add(biasToOutput);\r\n\r\n\r\n\r\n\t\tNode node=new Node(4);\r\n\t\t//Connecting output node with hidden layer nodes\r\n\t\tfor(int j=0;j<hiddenNodes.size();j++)\r\n\t\t{\r\n\t\t\tNodeWeightPair nwp=new NodeWeightPair(hiddenNodes.get(j), outputWeights[j]);\r\n\t\t\tnode.parents.add(nwp);\r\n\t\t}\t\r\n\t\toutputNode = node;\r\n\r\n\t}","public double Learn()\n\t{\n\t\t// initialize the data structures\n\t\tInitialize();\n\t\tfor(int iter = 0; iter < 1000; iter++)\n\t\t\tLearnFOnlyW();\n\t\t\n\t\tList<Double> lossHistory = new ArrayList<Double>();\n\t\tlossHistory.add(Double.MIN_VALUE);\n\t\t\n\t\t// apply the stochastic gradient descent in a series of iterations\n\t\tfor(int iter = 0; iter < maxIter; iter++)\n\t\t{\n\t\t\t// learn the shapelets and the weights\n\t\t\tLearnF();\n\t\t\t\n\t\t\t// measure the loss\n\t\t\tif( iter % 500 == 0)\n\t\t\t{\n\t\t\t\tdouble mcrTrain = GetMCRTrainSet();\n\t\t\t\tdouble mcrTest = GetMCRTestSet();\n\t\t\t\t\n\t\t\t\tdouble lossTrain = AccuracyLossTrainSet();\n\t\t\t\tdouble lossTest = AccuracyLossTestSet();\n\t\t\t\t\n\t\t\t\tlossHistory.add(lossTrain);\n\t\t\t\t\n\t\t\t\tLogging.println(\"It=\" + iter + \", lossTrain=\"+ lossTrain + \", lossTest=\"+ lossTest +\n\t\t\t\t\t\t\t\t\", MCRTrain=\" +mcrTrain + \", MCRTest=\" +mcrTest , LogLevel.DEBUGGING_LOG);\n\t\t\t\t\n\t\t\t\tif( Double.isNaN(lossTrain) )\n\t\t\t\t{\n\t\t\t\t\titer = 0;\n\t\t\t\t\teta /= 3;\n\t\t\t\t\t\n\t\t\t\t\tInitialize();\n\t\t\t\t\t\n\t\t\t\t\tLogging.println(\"Divergence detected. Restarting at eta=\" + eta, LogLevel.DEBUGGING_LOG);\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t{\n\t\t\t\t\t//eta *= 0.9;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\n\t\t\t\t\t\t\n\t\t}\n\t\t\n\t\t// print shapelets for debugging purposes\n\t\t//PrintShapelets();\n\t\t\n\t\t//Logging.print(M_i, System.out, LogLevel.DEBUGGING_LOG); \n\t\t\n\t\treturn GetMCRTestSet(); \n\t}","public void Prediction() {\n System.out.println(\"\\nInput an x value: \");\n double x = inputs.nextDouble();\n double y = this.B0 + (this.B1 * x);\n System.out.println(\"The prediction made with \" + x + \" as the x value is: \" + y);\n System.out.println(\"\\nWhere y = B0 + (B1*xi) is substituted by:\\n y = \" + B0 + \" + (\" + B1 + \" * \" + x + \" )\\n\");\n }","public void train() {\r\n // For each epoch, call setInputValue on input nodes\r\n for (int i = 0; i < maxEpoch; i++) {\r\n Collections.shuffle(trainingSet, random);\r\n\r\n // get each training instance\r\n for (int k = 0; k < trainingSet.size(); k++) {\r\n\r\n Instance instance = trainingSet.get(k);\r\n\r\n // set the input value in the input nodes from the training instance\r\n for (int j = 0; j < instance.attributes.size(); j++) {\r\n inputNodes.get(j).setInput(instance.attributes.get(j));\r\n }\r\n\r\n //set the target value in output nodes\r\n for (int j = 0; j < instance.classValues.size(); j++) {\r\n outputNodes.get(j).setTargetValue((double) instance.classValues.get(j));\r\n }\r\n\r\n // calculate values for hidden nodes\r\n for (int j = 0; j < hiddenNodes.size(); j++) {\r\n // for each hidden node\r\n Node hiddenNode = hiddenNodes.get(j);\r\n hiddenNode.calculateOutput();\r\n }\r\n\r\n //calculate values for output nodes\r\n double sumOfExponents = 0.0;\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n // for each output node\r\n Node outputNode = outputNodes.get(j);\r\n outputNode.calculateOutput();\r\n sumOfExponents += outputNode.getOutput();\r\n }\r\n\r\n //update output values of output nodes\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n Node outputNode = outputNodes.get(j);\r\n outputNode.updateOutputValue(sumOfExponents);\r\n }\r\n\r\n // calculate delta values for output nodes\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n Node outputNode = outputNodes.get(j);\r\n outputNode.calculateDelta();\r\n }\r\n\r\n // calculate delta values for hidden nodes\r\n for (int j = 0; j < hiddenNodes.size(); j++) {\r\n Node hiddenNode = hiddenNodes.get(j);\r\n hiddenNode.calculateDelta();\r\n hiddenNode.resetSumOfPartialDelta();\r\n }\r\n\r\n // update weights going from input layer to hidden layer\r\n for (int j = 0; j < hiddenNodes.size(); j++) {\r\n Node hiddenNode = hiddenNodes.get(j);\r\n hiddenNode.updateWeight(learningRate);\r\n }\r\n\r\n // update weights going from hidden layer to output layer\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n Node outputNode = outputNodes.get(j);\r\n outputNode.updateWeight(learningRate);\r\n }\r\n\r\n /*if (k == 0 && i==0) {\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n Node outputNode = outputNodes.get(j);\r\n for (NodeWeightPair pair : outputNode.parents) {\r\n System.out.println(pair.weight);\r\n }\r\n }\r\n }\r\n\r\n if (k == 0 && i == 0) {\r\n for (int j = 0; j < hiddenNodes.size(); j++) {\r\n Node hiddenNode = hiddenNodes.get(j);\r\n if (hiddenNode.parents != null) {\r\n for (NodeWeightPair pair : hiddenNode.parents) {\r\n System.out.println(pair.weight);\r\n }\r\n }\r\n }\r\n }*/\r\n }\r\n\r\n /* if (i==29) {\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n Node outputNode = outputNodes.get(j);\r\n for (NodeWeightPair pair : outputNode.parents) {\r\n System.out.println(pair.weight);\r\n }\r\n }\r\n }*/\r\n\r\n double totalLoss = 0.0;\r\n // Calculate loss and sum for each training instance, and then take average\r\n for (int k = 0; k < trainingSet.size(); k++) {\r\n Instance instance = trainingSet.get(k);\r\n totalLoss += loss(instance);\r\n }\r\n totalLoss /= trainingSet.size();\r\n System.out.println(\"Epoch: \" + i + \", \" + \"Loss: \" + String.format(\"%.3e\", totalLoss));\r\n }\r\n }","public NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Double [][]hiddenWeights, Double[][] outputWeights)\r\n\t{\r\n\t\tthis.trainingSet=trainingSet;\r\n\t\tthis.learningRate=learningRate;\r\n\t\tthis.maxEpoch=maxEpoch;\r\n\r\n\t\t//input layer nodes\r\n\t\tinputNodes=new ArrayList<Node>();\r\n\t\tint inputNodeCount=trainingSet.get(0).attributes.size();\r\n\t\tint outputNodeCount=trainingSet.get(0).classValues.size();\r\n\t\tfor(int i=0;i<inputNodeCount;i++)\r\n\t\t{\r\n\t\t\tNode node=new Node(0);\r\n\t\t\tinputNodes.add(node);\r\n\t\t}\r\n\r\n\t\t//bias node from input layer to hidden\r\n\t\tNode biasToHidden=new Node(1);\r\n\t\tinputNodes.add(biasToHidden);\r\n\r\n\t\t//hidden layer nodes\r\n\t\thiddenNodes=new ArrayList<Node> ();\r\n\t\tfor(int i=0;i<hiddenNodeCount;i++)\r\n\t\t{\r\n\t\t\tNode node=new Node(2);\r\n\t\t\t//Connecting hidden layer nodes with input layer nodes\r\n\t\t\tfor(int j=0;j<inputNodes.size();j++)\r\n\t\t\t{\r\n\t\t\t\tNodeWeightPair nwp=new NodeWeightPair(inputNodes.get(j),hiddenWeights[i][j]);\r\n\t\t\t\tnode.parents.add(nwp);\r\n\t\t\t}\r\n\t\t\thiddenNodes.add(node);\r\n\t\t}\r\n\r\n\t\t//bias node from hidden layer to output\r\n\t\tNode biasToOutput=new Node(3);\r\n\t\thiddenNodes.add(biasToOutput);\r\n\r\n\t\t//Output node layer\r\n\t\toutputNodes=new ArrayList<Node> ();\r\n\t\tfor(int i=0;i<outputNodeCount;i++)\r\n\t\t{\r\n\t\t\tNode node=new Node(4);\r\n\t\t\t//Connecting output layer nodes with hidden layer nodes\r\n\t\t\tfor(int j=0;j<hiddenNodes.size();j++)\r\n\t\t\t{\r\n\t\t\t\tNodeWeightPair nwp=new NodeWeightPair(hiddenNodes.get(j), outputWeights[i][j]);\r\n\t\t\t\tnode.parents.add(nwp);\r\n\t\t\t}\t\r\n\t\t\toutputNodes.add(node);\r\n\t\t}\t\r\n\t}","public double[] runOptimizer() {\n List<Integer> sents = new ArrayList<Integer>();\n for(int i=0; i<sentNum; i++)\n sents.add(i);\n \n if(needShuffle)\n Collections.shuffle(sents);\n \n double oraMetric, oraScore, predMetric, predScore;\n double[] oraPredScore = new double[4];\n double eta = 1.0; //learning rate, will not be changed if run percep\n double avgEta = 0; //average eta, just for analysis\n double loss = 0;\n double featNorm = 0;\n double featDiffVal;\n double sumMetricScore = 0;\n double sumModelScore = 0;\n String oraFeat = \"\";\n String predFeat = \"\";\n String[] oraPredFeat = new String[2];\n String[] vecOraFeat;\n String[] vecPredFeat;\n String[] featInfo;\n boolean first = true;\n //int processedSent = 0;\n Iterator it;\n Integer diffFeatId;\n double[] avgLambda = new double[initialLambda.length]; //only needed if averaging is required\n for(int i=0; i<initialLambda.length; i++)\n avgLambda[i] = 0.0;\n\n //update weights\n for(Integer s : sents) {\n //find out oracle and prediction\n if(first)\n findOraPred(s, oraPredScore, oraPredFeat, initialLambda, featScale);\n else\n findOraPred(s, oraPredScore, oraPredFeat, finalLambda, featScale);\n \n //the model scores here are already scaled in findOraPred\n oraMetric = oraPredScore[0];\n oraScore = oraPredScore[1];\n predMetric = oraPredScore[2];\n predScore = oraPredScore[3];\n oraFeat = oraPredFeat[0];\n predFeat = oraPredFeat[1];\n \n //update the scale\n if(needScale) { //otherwise featscale remains 1.0\n sumMetricScore += java.lang.Math.abs(oraMetric+predMetric);\n sumModelScore += java.lang.Math.abs(oraScore+predScore)/featScale; //restore the original model score\n \n if(sumModelScore/sumMetricScore > scoreRatio)\n featScale = sumMetricScore/sumModelScore;\n\n /* a different scaling strategy \n if( (1.0*processedSent/sentNum) < sentForScale ) { //still need to scale\n double newFeatScale = java.lang.Math.abs(scoreRatio*sumMetricDiff / sumModelDiff); //to make sure modelScore*featScale/metricScore = scoreRatio\n \n //update the scale only when difference is significant\n if( java.lang.Math.abs(newFeatScale-featScale)/featScale > 0.2 )\n featScale = newFeatScale;\n }*/\n }\n// processedSent++;\n\n HashMap<Integer, Double> allOraFeat = new HashMap<Integer, Double>();\n HashMap<Integer, Double> allPredFeat = new HashMap<Integer, Double>();\n HashMap<Integer, Double> featDiff = new HashMap<Integer, Double>();\n\n vecOraFeat = oraFeat.split(\"\\\\s+\");\n vecPredFeat = predFeat.split(\"\\\\s+\");\n \n for (int i = 0; i < vecOraFeat.length; i++) {\n featInfo = vecOraFeat[i].split(\":\");\n diffFeatId = Integer.parseInt(featInfo[0]);\n allOraFeat.put(diffFeatId, Double.parseDouble(featInfo[1]));\n featDiff.put(diffFeatId, Double.parseDouble(featInfo[1]));\n }\n\n for (int i = 0; i < vecPredFeat.length; i++) {\n featInfo = vecPredFeat[i].split(\":\");\n diffFeatId = Integer.parseInt(featInfo[0]);\n allPredFeat.put(diffFeatId, Double.parseDouble(featInfo[1]));\n\n if (featDiff.containsKey(diffFeatId)) //overlapping features\n featDiff.put(diffFeatId, featDiff.get(diffFeatId)-Double.parseDouble(featInfo[1]));\n else //features only firing in the 2nd feature vector\n featDiff.put(diffFeatId, -1.0*Double.parseDouble(featInfo[1]));\n }\n\n if(!runPercep) { //otherwise eta=1.0\n featNorm = 0;\n\n Collection<Double> allDiff = featDiff.values();\n for(it =allDiff.iterator(); it.hasNext();) {\n featDiffVal = (Double) it.next();\n featNorm += featDiffVal*featDiffVal;\n }\n \n //a few sanity checks\n if(! evalMetric.getToBeMinimized()) {\n if(oraSelectMode==1 && predSelectMode==1) { //\"hope-fear\" selection\n /* ora_score+ora_metric > pred_score+pred_metric\n * pred_score-pred_metric > ora_score-ora_metric\n * => ora_metric > pred_metric */\n if(oraMetric+1e-10 < predMetric) {\n System.err.println(\"WARNING: for hope-fear selection, oracle metric score must be greater than prediction metric score!\");\n System.err.println(\"Something is wrong!\");\n }\n }\n \n if(oraSelectMode==2 || predSelectMode==3) {\n if(oraMetric+1e-10 < predMetric) {\n System.err.println(\"WARNING: for max-metric oracle selection or min-metric prediction selection, the oracle metric \" +\n \t\t\"score must be greater than the prediction metric score!\");\n System.err.println(\"Something is wrong!\");\n }\n }\n } else {\n if(oraSelectMode==1 && predSelectMode==1) { //\"hope-fear\" selection\n /* ora_score-ora_metric > pred_score-pred_metric\n * pred_score+pred_metric > ora_score+ora_metric\n * => ora_metric < pred_metric */\n if(oraMetric-1e-10 > predMetric) {\n System.err.println(\"WARNING: for hope-fear selection, oracle metric score must be smaller than prediction metric score!\");\n System.err.println(\"Something is wrong!\");\n }\n }\n \n if(oraSelectMode==2 || predSelectMode==3) {\n if(oraMetric-1e-10 > predMetric) {\n System.err.println(\"WARNING: for min-metric oracle selection or max-metric prediction selection, the oracle metric \" +\n \"score must be smaller than the prediction metric score!\");\n System.err.println(\"Something is wrong!\");\n }\n }\n }\n \n if(predSelectMode==2) {\n if(predScore+1e-10 < oraScore) {\n System.err.println(\"WARNING: for max-model prediction selection, the prediction model score must be greater than oracle model score!\");\n System.err.println(\"Something is wrong!\");\n }\n }\n \n //cost - margin\n //remember the model scores here are already scaled\n loss = evalMetric.getToBeMinimized() ? //cost should always be non-negative \n (predMetric-oraMetric) - (oraScore-predScore)/featScale: \n (oraMetric-predMetric) - (oraScore-predScore)/featScale;\n \n if(loss<0)\n loss = 0;\n\n if(loss == 0)\n eta = 0;\n else\n //eta = C < loss/(featNorm*featScale*featScale) ? C : loss/(featNorm*featScale*featScale); //feat vector not scaled before\n eta = C < loss/(featNorm) ? C : loss/(featNorm); //feat vector not scaled before\n }\n \n avgEta += eta;\n\n Set<Integer> diffFeatSet = featDiff.keySet();\n it = diffFeatSet.iterator();\n\n if(first) {\n first = false;\n \n if(eta!=0) {\n while(it.hasNext()) {\n diffFeatId = (Integer)it.next();\n finalLambda[diffFeatId] = initialLambda[diffFeatId] + eta*featDiff.get(diffFeatId);\n }\n }\n }\n else {\n if(eta!=0) {\n while(it.hasNext()) {\n diffFeatId = (Integer)it.next();\n finalLambda[diffFeatId] = finalLambda[diffFeatId] + eta*featDiff.get(diffFeatId);\n }\n }\n }\n \n if(needAvg) {\n for(int i=0; i<avgLambda.length; i++)\n avgLambda[i] += finalLambda[i];\n }\n }\n \n if(needAvg) {\n for(int i=0; i<finalLambda.length; i++)\n finalLambda[i] = avgLambda[i]/sentNum;\n }\n \n avgEta /= sentNum;\n System.out.println(\"Average learning rate: \"+avgEta);\n\n // the intitialLambda & finalLambda are all trainable parameters\n //if (!trainMode.equals(\"3\")) // for mode 3, no need to normalize sparse\n // feature weights\n //normalizeLambda(finalLambda);\n //else\n //normalizeLambda_mode3(finalLambda);\n\n /*\n * for( int i=0; i<finalLambda.length; i++ ) System.out.print(finalLambda[i]+\" \");\n * System.out.println(); System.exit(0);\n */ \n\n double initMetricScore = computeCorpusMetricScore(initialLambda); // compute the initial corpus-level metric score\n double finalMetricScore = computeCorpusMetricScore(finalLambda); // compute final corpus-level metric score // the\n\n // prepare the printing info\n int numParamToPrint = 0;\n String result = \"\";\n\n if (trainMode.equals(\"1\") || trainMode.equals(\"4\")) {\n numParamToPrint = paramDim > 10 ? 10 : paramDim; // how many parameters\n // to print\n result = paramDim > 10 ? \"Final lambda(first 10): {\" : \"Final lambda: {\";\n\n for (int i = 1; i < numParamToPrint; i++)\n // in ZMERT finalLambda[0] is not used\n result += finalLambda[i] + \" \";\n } else {\n int sparseNumToPrint = 0;\n if (trainMode.equals(\"2\")) {\n result = \"Final lambda(regular feats + first 5 sparse feats): {\";\n for (int i = 1; i <= regParamDim; ++i)\n result += finalLambda[i] + \" \";\n\n result += \"||| \";\n\n sparseNumToPrint = 5 < (paramDim - regParamDim) ? 5 : (paramDim - regParamDim);\n\n for (int i = 1; i <= sparseNumToPrint; i++)\n result += finalLambda[regParamDim + i] + \" \";\n } else {\n result = \"Final lambda(first 10 sparse feats): {\";\n sparseNumToPrint = 10 < paramDim ? 10 : paramDim;\n\n for (int i = 1; i < sparseNumToPrint; i++)\n result += finalLambda[i] + \" \";\n }\n }\n\n output.add(result + finalLambda[numParamToPrint] + \"}\\n\" + \"Initial \"\n + evalMetric.get_metricName() + \": \" + initMetricScore + \"\\nFinal \"\n + evalMetric.get_metricName() + \": \" + finalMetricScore);\n\n // System.out.println(output);\n\n if (trainMode.equals(\"3\")) {\n // finalLambda = baseline(unchanged)+disc\n for (int i = 0; i < paramDim; i++)\n copyLambda[i + regParamDim + 1] = finalLambda[i];\n\n finalLambda = copyLambda;\n }\n\n return finalLambda;\n }","public FeedForwardNeuralNetwork mutate(FeedForwardNeuralNetwork net)\n\t{\n // Copies the net\n FeedForwardNeuralNetwork newNetwork = new FeedForwardNeuralNetwork(net);\n newNetwork.setWeightVector((Vector<Double>)net.getWeightVector().clone());\n\n Vector<Double> newWeights = new Vector<Double>();\n\t\tRandom gen = new Random();\n int mc = gen.nextInt(100), slSize;\n\n if (mc <= 10) { // all the weights in the network\n for(SynapseLayer sl: newNetwork.synapse_layers) {\n slSize = sl.getWeightVector().size() / 20;\n for (Double weight: sl.getWeightVector())\n newWeights.add(weight + gen.nextGaussian()*Math.sqrt(slSize));\n }\n newNetwork.setWeightVector(newWeights);\n }\n else if (mc <= 37) { // all the weights in a randomly selected layer\n SynapseLayer sl = newNetwork.synapse_layers.get(gen.nextInt(newNetwork.synapse_layers.size()));\n for (Double weight: sl.getWeightVector())\n newWeights.add(weight + gen.nextGaussian() * Math.sqrt(sl.getWeightVector().size()/20));\n sl.setWeightVector(newWeights);\n }\n else if (mc <= 64) { // all the weights going into a randomly selecte layer, i can't tell the difference between this and the last one\n SynapseLayer sl = newNetwork.synapse_layers.get(gen.nextInt(newNetwork.synapse_layers.size()));\n for (Double weight: sl.getWeightVector())\n newWeights.add(weight + gen.nextGaussian() * Math.sqrt(sl.getWeightVector().size()/20));\n sl.setWeightVector(newWeights);\n }\n else {\n newWeights = newNetwork.getWeightVector();\n int rInd = gen.nextInt(newWeights.size());\n newWeights.set(rInd, newWeights.get(rInd) + Math.sqrt(gen.nextGaussian()*14));\n newNetwork.setWeightVector(newWeights);\n }\n\t\treturn newNetwork;\n\t}","public static Double[] learnSimplePerceptronWords(Data data1[],int index,double LearningRate,Double w[],HashMap<Integer, Integer> words)\r\n \t{\r\n \t\t\r\n \t\tData data[] = Arrays.copyOf(data1,index);\r\n \t\t\r\n \t\t//shuffle the data..\r\n \t \tArrayList<Data> arrayList = new ArrayList<Data>(Arrays.asList(Arrays.copyOf(data,index))); \r\n \t\tCollections.shuffle(arrayList,new Random(10));\r\n \t\tdata = arrayList.toArray(new Data[arrayList.size()]);\r\n \t\tfor(int i=0;i<index;i++)\r\n \t\t{\r\n \t\t\tdouble trueLabel;\r\n \t\t\tdouble predictedLabel;\r\n \t\t\tdouble dotProduct_wT_x = 0.0f;\r\n \t\t\tHashMap<Integer, Double> x = new HashMap<Integer, Double>();\r\n \t\t \r\n \t\t\ttrueLabel = data[i].getY();\r\n \t\t\tx= data[i].getX();\r\n \t\t\t \r\n \t\t\t\r\n \t\t \r\n \t\t\t//wT*x (contains bias)\r\n \t\t\tfor (Map.Entry<Integer, Double> entry : x.entrySet()) {\r\n \t\t\t\tdotProduct_wT_x = dotProduct_wT_x + w[entry.getKey()] * entry.getValue();\r\n \t\t\t}\r\n \t\t\t\r\n \t\t\t//predict the label\r\n \t\t\tif(dotProduct_wT_x < 0)\r\n \t\t\t\tpredictedLabel = -1;\r\n \t\t\telse\t\r\n \t\t\t\tpredictedLabel = +1;\r\n \t\t\t\r\n \t\t\t//check if prediction is correct, if not update the weight vector and bias.\r\n \t\t\tif(predictedLabel != trueLabel)\r\n \t\t//\tif(dotProduct_wT_x<0)\r\n \t\t\t{\r\n \t\t\t\t//update bias\r\n \t\t\t\tw[0]=w[0]+trueLabel*LearningRate;\r\n\r\n \t\t\t\t\r\n \t\t\t\t//update all other weights only if those words are worthy tracking\r\n \t\t\t\r\n \t\t\t\tfor(int j=1;j<w.length;j++)\r\n \t\t\t\t{\r\n \t\t\t\t\t// if(x.containsKey(j))\r\n \t\t\t\t if(x.containsKey(j))\r\n \t\t\t \t if(words.containsKey(j)) //give more weightage to words that matter updates only when keyword found\r\n \t\t \t\t\t \tw[j]=w[j]+LearningRate*trueLabel*x.get(j);\r\n\r\n \t\t\t\t//\telse\r\n \t\t\t//\t\t\tw[j]=(double)0;\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 \r\n \t\t}\r\n \t\treturn w;\r\n \t}","public void train() {\n\n\t\tint D = Os.length;\n\t\tint T_n = 0;\n\t\tdouble log_likelihood = 0;\n\t\tdouble log_likelihood_new = 0;\n\t\tdouble epsilon = this.epsilon;\n\t\tint maxIter = this.maxIter;\n\n\t\t// Initialization\n\n\t\tclearVector(pi);\n\t\tclearMatrix(A);\n\t\tclearMatrix(B);\n\n\t\tdouble[] a = allocateVector(N);\n\t\tdouble[] b = allocateVector(N);\n\n\t\tint[] Q_n = null;\n\t\tint[] O_n = null;\n\t\t\n\t\tif (Qs == null) {\n\t\t\t\n\t\t\tpi = initializePi();\n\t\t\tA = initializeA();\n\t\t\tB = initializeB();\n\t\t\t\n\t\t} else {\n\t\t\t\n\t\t\tfor (int n = 0; n < D; n++) {\n\t\t\t\tQ_n = Qs[n];\n\t\t\t\tO_n = Os[n];\n\t\t\t\tT_n = Os[n].length;\n\t\t\t\tfor (int t = 0; t < T_n; t++) {\n\t\t\t\t\tif (t < T_n - 1) {\n\t\t\t\t\t\tA[Q_n[t]][Q_n[t + 1]] += 1;\n\t\t\t\t\t\ta[Q_n[t]] += 1;\n\t\t\t\t\t\tif (t == 0) {\n\t\t\t\t\t\t\tpi[Q_n[0]] += 1;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tB[Q_n[t]][O_n[t]] += 1;\n\t\t\t\t\tb[Q_n[t]] += 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\tdivideAssign(pi, D);\n\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\tdivideAssign(A[i], a[i]);\n\t\t\t\tdivideAssign(B[i], b[i]);\n\t\t\t}\n\t\t\t\n\t\t}\n\n\t\tint s = 0;\n\t\tdouble[] pi_new = allocateVector(N);\n\t\tdouble[][] A_new = allocateMatrix(N, N);\n\t\tdouble[][] B_new = allocateMatrix(N, M);\n\t\tdouble[] temp_pi = null;\n\t\tdouble[][] temp_A = null;\n\t\tdouble[][] temp_B = null;\n\t\tdouble[][] alpha_hat = null;\n\t\tdouble[][] beta_hat = null;\n\t\tdouble[] c_n = null;\n\t\tdouble[][] xi = allocateMatrix(N, N);\n\t\tdouble[] gamma = allocateVector(N);\n\t\tdo {\n\n\t\t\t// Clearance\n\t\t\tclearVector(pi_new);\n\t\t\tclearMatrix(A_new);\n\t\t\tclearMatrix(B_new);\n\t\t\tclearVector(a);\n\t\t\tclearVector(b);\n\t\t\t/*clearMatrix(xi);\n\t\t\tclearVector(gamma);*/\n\t\t\tlog_likelihood_new = 0;\n\n\t\t\tfor (int n = 0; n < D; n++) {\n\n\t\t\t\t// Q_n = Qs[n];\n\t\t\t\tO_n = Os[n];\n\t\t\t\tT_n = Os[n].length;\n\t\t\t\tc_n = allocateVector(T_n);\n\t\t\t\talpha_hat = allocateMatrix(T_n, N);\n\t\t\t\tbeta_hat = allocateMatrix(T_n, N);\n\n\t\t\t\t// Forward Recursion with Scaling\t\t\t\n\n\t\t\t\tfor (int t = 0; t <= T_n - 1; t++) {\n\t\t\t\t\tif (t == 0) {\n\t\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\t\talpha_hat[0][i] = pi[i] * B[i][O_n[0]];\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\t\t\talpha_hat[t][j] += alpha_hat[t - 1][i] * A[i][j] * B[j][O_n[t]];\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tc_n[t] = 1.0 / sum(alpha_hat[t]);\n\t\t\t\t\ttimesAssign(alpha_hat[t], c_n[t]);\n\t\t\t\t}\n\n\t\t\t\t// Backward Recursion with Scaling\n\n\t\t\t\tfor (int t = T_n + 1; t >= 2; t--) {\n\t\t\t\t\tif (t == T_n + 1) {\n\t\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\t\tbeta_hat[t - 2][i] = 1;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tif (t <= T_n) {\n\t\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\t\t\t\t\tbeta_hat[t - 2][i] += A[i][j] * B[j][O_n[t - 1]] * beta_hat[t - 1][j];\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\ttimesAssign(beta_hat[t - 2], c_n[t - 2]);\n\t\t\t\t}\n\n\t\t\t\t// Expectation Variables and Updating Model Parameters\n\n\t\t\t\tfor (int t = 0; t <= T_n - 1; t++) {\n\t\t\t\t\tif (t < T_n - 1) {\n\t\t\t\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\t\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\t\t\t\t\txi[i][j] = alpha_hat[t][i] * A[i][j] * B[j][O_n[t + 1]] * beta_hat[t + 1][j];\n\t\t\t\t\t\t\t\t// A_new[i][j] += xi[i][j];\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tplusAssign(A_new[i], xi[i]);\n\t\t\t\t\t\t\tgamma[i] = sum(xi[i]);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif (t == 0) {\n\t\t\t\t\t\t\tplusAssign(pi_new, gamma);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tplusAssign(a, gamma);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tassignVector(gamma, alpha_hat[t]);\n\t\t\t\t\t}\n\t\t\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\t\t\tB_new[j][O_n[t]] += gamma[j];\n\t\t\t\t\t}\n\t\t\t\t\tplusAssign(b, gamma);\n\t\t\t\t\tlog_likelihood_new += -Math.log(c_n[t]);\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Normalization (Sum to One)\n\n\t\t\tsum2one(pi_new);\n\n\t\t\tfor (int i = 0; i < N; i++) {\n\t\t\t\tdivideAssign(A_new[i], a[i]);\n\t\t\t}\n\n\t\t\tfor (int j = 0; j < N; j++) {\n\t\t\t\tdivideAssign(B_new[j], b[j]);\n\t\t\t}\n\n\t\t\ttemp_pi = pi;\n\t\t\tpi = pi_new;\n\t\t\tpi_new = temp_pi;\n\n\t\t\ttemp_A = A;\n\t\t\tA = A_new;\n\t\t\tA_new = temp_A;\n\n\t\t\ttemp_B = B;\n\t\t\tB = B_new;\n\t\t\tB_new = temp_B;\n\t\t\t// display(B);\n\n\t\t\ts = s + 1;\n\n\t\t\tif (s > 1) {\n\t\t\t\tif (Math.abs((log_likelihood_new - log_likelihood) / log_likelihood) < epsilon) {\n\t\t\t\t\tfprintf(\"log[P(O|Theta)] does not increase.\\n\\n\");\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tlog_likelihood = log_likelihood_new;\n\t\t\tfprintf(\"Iter: %d, log[P(O|Theta)]: %f\\n\", s, log_likelihood);\n\n\t\t} while (s < maxIter);\n\n\t}","@Override\n public void calculate(double[] x) {\n\n double prob = 0.0; // the log prob of the sequence given the model, which is the negation of value at this point\n Triple<double[][], double[][], double[][]> allParams = separateWeights(x);\n double[][] linearWeights = allParams.first();\n double[][] W = allParams.second(); // inputLayerWeights \n double[][] U = allParams.third(); // outputLayerWeights \n\n double[][] Y = null;\n if (flags.softmaxOutputLayer) {\n Y = new double[U.length][];\n for (int i = 0; i < U.length; i++) {\n Y[i] = ArrayMath.softmax(U[i]);\n }\n }\n\n double[][] What = emptyW();\n double[][] Uhat = emptyU();\n\n // the expectations over counts\n // first index is feature index, second index is of possible labeling\n double[][] E = empty2D();\n double[][] eW = emptyW();\n double[][] eU = emptyU();\n\n // iterate over all the documents\n for (int m = 0; m < data.length; m++) {\n int[][][] docData = data[m];\n int[] docLabels = labels[m];\n\n // make a clique tree for this document\n CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(docData, labelIndices, numClasses, classIndex,\n backgroundSymbol, new NonLinearCliquePotentialFunction(linearWeights, W, U, flags));\n\n // compute the log probability of the document given the model with the parameters x\n int[] given = new int[window - 1];\n Arrays.fill(given, classIndex.indexOf(backgroundSymbol));\n int[] windowLabels = new int[window];\n Arrays.fill(windowLabels, classIndex.indexOf(backgroundSymbol));\n\n if (docLabels.length>docData.length) { // only true for self-training\n // fill the given array with the extra docLabels\n System.arraycopy(docLabels, 0, given, 0, given.length);\n System.arraycopy(docLabels, 0, windowLabels, 0, windowLabels.length);\n // shift the docLabels array left\n int[] newDocLabels = new int[docData.length];\n System.arraycopy(docLabels, docLabels.length-newDocLabels.length, newDocLabels, 0, newDocLabels.length);\n docLabels = newDocLabels;\n }\n // iterate over the positions in this document\n for (int i = 0; i < docData.length; i++) {\n int label = docLabels[i];\n double p = cliqueTree.condLogProbGivenPrevious(i, label, given);\n if (VERBOSE) {\n System.err.println(\"P(\" + label + \"|\" + ArrayMath.toString(given) + \")=\" + p);\n }\n prob += p;\n System.arraycopy(given, 1, given, 0, given.length - 1);\n given[given.length - 1] = label;\n }\n\n // compute the expected counts for this document, which we will need to compute the derivative\n // iterate over the positions in this document\n for (int i = 0; i < docData.length; i++) {\n // for each possible clique at this position\n System.arraycopy(windowLabels, 1, windowLabels, 0, window - 1);\n windowLabels[window - 1] = docLabels[i];\n for (int j = 0; j < docData[i].length; j++) {\n Index<CRFLabel> labelIndex = labelIndices[j];\n // for each possible labeling for that clique\n int[] cliqueFeatures = docData[i][j];\n double[] As = null;\n double[] fDeriv = null;\n double[][] yTimesA = null;\n double[] sumOfYTimesA = null;\n\n if (j == 0) {\n As = NonLinearCliquePotentialFunction.hiddenLayerOutput(W, cliqueFeatures, flags);\n fDeriv = new double[inputLayerSize];\n double fD = 0;\n for (int q = 0; q < inputLayerSize; q++) {\n if (useSigmoid) {\n fD = As[q] * (1 - As[q]); \n } else {\n fD = 1 - As[q] * As[q]; \n }\n fDeriv[q] = fD;\n }\n\n // calculating yTimesA for softmax\n if (flags.softmaxOutputLayer) {\n double val = 0;\n\n yTimesA = new double[outputLayerSize][numHiddenUnits];\n for (int ii = 0; ii < outputLayerSize; ii++) {\n yTimesA[ii] = new double[numHiddenUnits];\n }\n sumOfYTimesA = new double[outputLayerSize];\n\n for (int k = 0; k < outputLayerSize; k++) {\n double[] Yk = null;\n if (flags.tieOutputLayer) {\n Yk = Y[0];\n } else {\n Yk = Y[k];\n }\n double sum = 0;\n for (int q = 0; q < inputLayerSize; q++) {\n if (q % outputLayerSize == k) {\n int hiddenUnitNo = q / outputLayerSize;\n val = As[q] * Yk[hiddenUnitNo];\n yTimesA[k][hiddenUnitNo] = val;\n sum += val;\n }\n }\n sumOfYTimesA[k] = sum;\n }\n }\n\n // calculating Uhat What\n int[] cliqueLabel = new int[j + 1];\n System.arraycopy(windowLabels, window - 1 - j, cliqueLabel, 0, j + 1);\n\n CRFLabel crfLabel = new CRFLabel(cliqueLabel);\n int givenLabelIndex = labelIndex.indexOf(crfLabel);\n double[] Uk = null;\n double[] UhatK = null;\n double[] Yk = null;\n double[] yTimesAK = null;\n double sumOfYTimesAK = 0;\n if (flags.tieOutputLayer) {\n Uk = U[0];\n UhatK = Uhat[0];\n if (flags.softmaxOutputLayer) {\n Yk = Y[0];\n }\n } else {\n Uk = U[givenLabelIndex];\n UhatK = Uhat[givenLabelIndex];\n if (flags.softmaxOutputLayer) {\n Yk = Y[givenLabelIndex];\n }\n }\n\n if (flags.softmaxOutputLayer) {\n yTimesAK = yTimesA[givenLabelIndex];\n sumOfYTimesAK = sumOfYTimesA[givenLabelIndex];\n }\n\n for (int k = 0; k < inputLayerSize; k++) {\n double deltaK = 1;\n if (flags.sparseOutputLayer || flags.tieOutputLayer) {\n if (k % outputLayerSize == givenLabelIndex) {\n int hiddenUnitNo = k / outputLayerSize;\n if (flags.softmaxOutputLayer) {\n UhatK[hiddenUnitNo] += (yTimesAK[hiddenUnitNo] - Yk[hiddenUnitNo] * sumOfYTimesAK);\n deltaK *= Yk[hiddenUnitNo];\n } else {\n UhatK[hiddenUnitNo] += As[k];\n deltaK *= Uk[hiddenUnitNo];\n }\n }\n } else {\n UhatK[k] += As[k];\n if (useOutputLayer) {\n deltaK *= Uk[k];\n }\n }\n if (useHiddenLayer)\n deltaK *= fDeriv[k];\n if (useOutputLayer) {\n if (flags.sparseOutputLayer || flags.tieOutputLayer) {\n if (k % outputLayerSize == givenLabelIndex) {\n double[] WhatK = What[k];\n for (int n = 0; n < cliqueFeatures.length; n++) {\n WhatK[cliqueFeatures[n]] += deltaK;\n }\n }\n } else {\n double[] WhatK = What[k];\n for (int n = 0; n < cliqueFeatures.length; n++) {\n WhatK[cliqueFeatures[n]] += deltaK;\n }\n }\n } else {\n if (k == givenLabelIndex) {\n double[] WhatK = What[k];\n for (int n = 0; n < cliqueFeatures.length; n++) {\n WhatK[cliqueFeatures[n]] += deltaK;\n }\n }\n }\n }\n }\n\n for (int k = 0; k < labelIndex.size(); k++) { // labelIndex.size() == numClasses\n int[] label = labelIndex.get(k).getLabel();\n double p = cliqueTree.prob(i, label); // probability of these labels occurring in this clique with these features\n if (j == 0) { // for node features\n double[] Uk = null;\n double[] eUK = null;\n double[] Yk = null;\n if (flags.tieOutputLayer) {\n Uk = U[0];\n eUK = eU[0];\n if (flags.softmaxOutputLayer) {\n Yk = Y[0];\n }\n } else {\n Uk = U[k];\n eUK = eU[k];\n if (flags.softmaxOutputLayer) {\n Yk = Y[k];\n }\n }\n if (useOutputLayer) {\n for (int q = 0; q < inputLayerSize; q++) {\n double deltaQ = 1;\n if (flags.sparseOutputLayer || flags.tieOutputLayer) {\n if (q % outputLayerSize == k) {\n int hiddenUnitNo = q / outputLayerSize;\n if (flags.softmaxOutputLayer) {\n eUK[hiddenUnitNo] += (yTimesA[k][hiddenUnitNo] - Yk[hiddenUnitNo] * sumOfYTimesA[k]) * p;\n deltaQ = Yk[hiddenUnitNo];\n } else {\n eUK[hiddenUnitNo] += As[q] * p;\n deltaQ = Uk[hiddenUnitNo];\n }\n }\n } else {\n eUK[q] += As[q] * p;\n deltaQ = Uk[q];\n }\n if (useHiddenLayer)\n deltaQ *= fDeriv[q];\n if (flags.sparseOutputLayer || flags.tieOutputLayer) {\n if (q % outputLayerSize == k) {\n double[] eWq = eW[q];\n for (int n = 0; n < cliqueFeatures.length; n++) {\n eWq[cliqueFeatures[n]] += deltaQ * p;\n }\n }\n } else {\n double[] eWq = eW[q];\n for (int n = 0; n < cliqueFeatures.length; n++) {\n eWq[cliqueFeatures[n]] += deltaQ * p;\n }\n }\n }\n } else {\n double deltaK = 1;\n if (useHiddenLayer)\n deltaK *= fDeriv[k];\n double[] eWK = eW[k];\n for (int n = 0; n < cliqueFeatures.length; n++) {\n eWK[cliqueFeatures[n]] += deltaK * p;\n }\n }\n } else { // for edge features\n for (int n = 0; n < cliqueFeatures.length; n++) {\n E[cliqueFeatures[n]][k] += p;\n }\n }\n }\n }\n }\n }\n\n if (Double.isNaN(prob)) { // shouldn't be the case\n throw new RuntimeException(\"Got NaN for prob in CRFNonLinearLogConditionalObjectiveFunction.calculate()\");\n }\n\n value = -prob;\n if(VERBOSE){\n System.err.println(\"value is \" + value);\n }\n\n // compute the partial derivative for each feature by comparing expected counts to empirical counts\n int index = 0;\n for (int i = 0; i < E.length; i++) {\n int originalIndex = edgeFeatureIndicesMap.get(i);\n\n for (int j = 0; j < E[i].length; j++) {\n derivative[index++] = (E[i][j] - Ehat[i][j]);\n if (VERBOSE) {\n System.err.println(\"linearWeights deriv(\" + i + \",\" + j + \") = \" + E[i][j] + \" - \" + Ehat[i][j] + \" = \" + derivative[index - 1]);\n }\n }\n }\n if (index != edgeParamCount)\n throw new RuntimeException(\"after edge derivative, index(\"+index+\") != edgeParamCount(\"+edgeParamCount+\")\");\n\n for (int i = 0; i < eW.length; i++) {\n for (int j = 0; j < eW[i].length; j++) {\n derivative[index++] = (eW[i][j] - What[i][j]);\n if (VERBOSE) {\n System.err.println(\"inputLayerWeights deriv(\" + i + \",\" + j + \") = \" + eW[i][j] + \" - \" + What[i][j] + \" = \" + derivative[index - 1]);\n }\n }\n }\n\n\n if (index != beforeOutputWeights)\n throw new RuntimeException(\"after W derivative, index(\"+index+\") != beforeOutputWeights(\"+beforeOutputWeights+\")\");\n\n if (useOutputLayer) {\n for (int i = 0; i < eU.length; i++) {\n for (int j = 0; j < eU[i].length; j++) {\n derivative[index++] = (eU[i][j] - Uhat[i][j]);\n if (VERBOSE) {\n System.err.println(\"outputLayerWeights deriv(\" + i + \",\" + j + \") = \" + eU[i][j] + \" - \" + Uhat[i][j] + \" = \" + derivative[index - 1]);\n }\n }\n }\n }\n\n if (index != x.length)\n throw new RuntimeException(\"after W derivative, index(\"+index+\") != x.length(\"+x.length+\")\");\n\n int regSize = x.length;\n if (flags.skipOutputRegularization || flags.softmaxOutputLayer) {\n regSize = beforeOutputWeights;\n }\n\n // incorporate priors\n if (prior == QUADRATIC_PRIOR) {\n double sigmaSq = sigma * sigma;\n for (int i = 0; i < regSize; i++) {\n double k = 1.0;\n double w = x[i];\n value += k * w * w / 2.0 / sigmaSq;\n derivative[i] += k * w / sigmaSq;\n }\n } else if (prior == HUBER_PRIOR) {\n double sigmaSq = sigma * sigma;\n for (int i = 0; i < regSize; i++) {\n double w = x[i];\n double wabs = Math.abs(w);\n if (wabs < epsilon) {\n value += w * w / 2.0 / epsilon / sigmaSq;\n derivative[i] += w / epsilon / sigmaSq;\n } else {\n value += (wabs - epsilon / 2) / sigmaSq;\n derivative[i] += ((w < 0.0) ? -1.0 : 1.0) / sigmaSq;\n }\n }\n } else if (prior == QUARTIC_PRIOR) {\n double sigmaQu = sigma * sigma * sigma * sigma;\n for (int i = 0; i < regSize; i++) {\n double k = 1.0;\n double w = x[i];\n value += k * w * w * w * w / 2.0 / sigmaQu;\n derivative[i] += k * w / sigmaQu;\n }\n }\n }","public static void gradientCheck(){\n\t\tList<Integer> context = Arrays.asList(1, 2, 3);\n\t\tInteger nextWord = 5;\n\t\tNetwork network = new Network(4, 20, 30, 40);\n\t\t\n\t\tdouble epsilon = 0.0001;\n\t\tdouble alpha = 0.1;\n\t\t\n\t\tint i = 1, j = 12;\n\t\tdouble originalValue = network.E.get(i).get(j, 0);\n\t\t\n\t\tnetwork.E.get(i).put(j, 0, originalValue + epsilon);\n\t\tnetwork.feedForward(context, nextWord);\n\t\tdouble loss1 = -1.0 * Math.log(network.output.get(nextWord, 0));\n\t\t\n\t\tnetwork.E.get(i).put(j, 0, originalValue - epsilon);\n\t\tnetwork.feedForward(context, nextWord);\n\t\tdouble loss2 = -1.0 * Math.log(network.output.get(nextWord, 0));\n\t\t\n\t\tdouble derivative1 = (loss1 - loss2)/(2.0 * epsilon);\n\t\tSystem.out.println(\"Derivative1: \" + derivative1);\n\t\t\n\t\tnetwork.E.get(i).put(j, 0, originalValue);\n\t\tnetwork.feedForward(context, nextWord);\n\t\tnetwork.backProp(context, nextWord, alpha);\n\t\tdouble derivative2 = (network.E.get(i).get(j, 0) - originalValue) / (-1.0 * alpha);\n\t\tSystem.out.println(\"Derivative2: \" + derivative2);\n\t\t\n\t\tif(Math.abs(derivative1 - derivative2) < 0.00001)\n\t\t\tSystem.out.println(\"Gradient check: PASS\");\n\t\telse\n\t\t\tSystem.out.println(\"Gradient check: FAIL\");\n\t}","@Override\n\tpublic Object backward(Object grad_output) {\n\t\t\n\t\tdouble[] grads=(double[])grad_output;\n\t\t\n\t\t//for weights\n\t\tweights_gradients=new double[weights.length][];\n\t\tfor(int i=0;i<weights.length;i++)\n\t\t{\n\t\t\tweights_gradients[i]=grads;\n\t\t}\n\t\t\n\t\t//for grad_inputs\n\t\tdouble[] grad_inputs=MatrixTool.MatrixRightDotVector(weights, grads);\n\t\treturn grad_inputs;\n\t}","public double transfer(double[] inputs, double[] weights) throws Exception;","public void train ()\t{\t}","void update(int bit) \n {\n this.idx = 0;\n int err = (bit<<12) - this.pr;\n\n if (err == 0)\n return; \n \n err = (err << 3) - err;\n\n // Train Neural Network: update weights\n this.buffer[this.ctx+8] += ((this.buffer[this.ctx] *err + 0) >> 16); \n this.buffer[this.ctx+9] += ((this.buffer[this.ctx+1]*err + 0) >> 16); \n this.buffer[this.ctx+10] += ((this.buffer[this.ctx+2]*err + 0) >> 16); \n this.buffer[this.ctx+11] += ((this.buffer[this.ctx+3]*err + 0) >> 16); \n this.buffer[this.ctx+12] += ((this.buffer[this.ctx+4]*err + 0) >> 16); \n this.buffer[this.ctx+13] += ((this.buffer[this.ctx+5]*err + 0) >> 16); \n this.buffer[this.ctx+14] += ((this.buffer[this.ctx+6]*err + 0) >> 16); \n this.buffer[this.ctx+15] += ((this.buffer[this.ctx+7]*err + 0) >> 16); \n }","public void backpropagate (FlatLayer flat){\n\t\tDouble [] err = flat.getErrors();\n\t\tDouble [][] weights = flat.getOldWeights();\n\t\tDouble sum;\n\t\tint index;\n\n\t\tfor ( int i = 0; i < poolMaps.size() ; i++){\n\n\t\t\tPoolMap pmap = poolMaps.get(i);\n\n\t\t\tDouble [][] error = pmap.getErrors();\n\n\t\t\tfor(int row = 0; row < error.length; row++){\n\t\t\t\tfor(int col = 0; col < error[0].length; col++){\n\t\t\t\t\t\n\t\t\t\t\tsum = 0.0;\n\t\t\t\t\t\n\t\t\t\t\tfor(int j = 0; j < weights.length; j++){\n\t\t\t\t\t\t\n\t\t\t\t\t\tindex = i * error.length * error[0].length + row * error.length + col;\n\t\t\t\t\t\tsum += weights[j][index]*err[j];\n\n\t\t\t\t\t}\n\t\t\t\t\terror[row][col] = sum;\n\t\t\t\t}\n\t\t\t}\n\n\t\t}\n\n\t}","protected void findWeights( double learning_rate, int iterations )\n\t{\n\t\tdouble sum, error, o, delta;\n\t\tint n = this.class_data.attribute_data.size();\n\t\tAttribute temp;\n\n\t\tfor ( int i = 0; i < iterations; i++ )\n\t\t{\n\t\t\tsum = 0;\n\t\t\tfor ( int j = 0; j < this.attribute_list.size(); j++ )\n\t\t\t{\n\t\t\t\ttemp = this.attribute_list.get( j );\n\t\t\t\tsum += temp.attribute_data.get( i % n ) * temp.getWeigth();\t\t//Sum of wi * xi\n\t\t\t}\n\n\t\t\to = getSigmoidValue( sum );\t\t\t\t\t\t\t\t\t\t//Get the value from sigmoid function\n\t\t\terror = this.class_data.attribute_data.get( i % n ) - o;\t\t//Find out the error\n\t\t\tdelta = learning_rate * error * o * (1.0 - o);\t\t\t\t\t//Delta w\n\n\t\t\tfor ( int j = 0; j < this.attribute_list.size(); j++ )\n\t\t\t\tthis.attribute_list.get( j ).incrementWeigth( delta, i % n );\t\t//Update weights\n\t\t}\n\t}","public void gradientDescent(double[][] gradient, double eps) {\n for (int i = 0; i < _weights.length; i++) {\n for (int j = 0; j < _weights[0].length; j++) {\n _weights[i][j] -= eps * gradient[i][j];\n }\n }\n }","double getLearningRate();","private void adjustWeights(double activationValues[],Image image){\n\n for(int i=0;i<perceptrons.size();i++){\n for(int j=0;j<4;j++) {\n if ((j + 1) == image.getEmotion()) {\n perceptrons.get(i).adjustWeight(j, learningValue\n , 1, activationValues[j]\n ,normalizeImageValue(image.getImage()[i]));\n } else {\n perceptrons.get(i).adjustWeight(j, learningValue\n , 0, activationValues[j]\n ,normalizeImageValue(image.getImage()[i]));\n }\n }\n }\n\n }","public void backProp(List<Integer> context, Integer nextWord, double alpha){\n\t\t// TODO: implement backpropagation\n\t}","public void receive(){\n for (int i = 0; i < neurons.size(); i++){\n neurons.get(i).calculateActivation();\n }\n }","protected void trainModuleNN(ExperienceReplay<TransitionMemory> experienceReplay, T outputOfInterest,\n\t\t\tRelationManager<T> relMngr, int[] numHidden, int epochs, double lRate, double mRate, double sRate) {\n\n\t\tint outKey = getVectorKey(outputOfInterest);\n\t\tint[] inKeys = getInKeys(outputOfInterest, relMngr);\n\t\t\n\t\tfor(int i = 0; i < epochs; i++) {\n\t\t\tIterator<TransitionMemory> iter = experienceReplay.getBatch().iterator();\n\t\t\tdouble inActivations[] = new double[inKeys.length];\n//\t\t\tdouble err = 0;\n\t\t\twhile (iter.hasNext()) {\n\t\t\t\tTransitionMemory tm = iter.next();\n\t\t\t\tdouble[] preStateAndAction = tm.getPreStateAndAction();\n\t\t\t\tdouble[] postState = tm.getPostState();\n\t\t\t\tint j = 0;\n\t\t\t\tfor (int k : inKeys) inActivations[j++] = k >= 0 ? preStateAndAction[k] : 0;\n\t\t\t\tif (neuralNet == null) neuralNet = new FFNeuralNetwork(ActivationFunction.SIGMOID0p5,\n\t\t\t\t\t\tinActivations.length, 1, numHidden);\n\t\t\t\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), inActivations);\n\t\t\t\tFFNeuralNetwork.backPropagate(neuralNet.getOutputNodes(), lRate, mRate, sRate, postState[outKey]);\n//\t\t\t\terr += FFNeuralNetwork.getError(new double[] {postState[outKey]}, neuralNet.getOutputNodes());\n\t\t\t}\n//\t\t\tSystem.out.println(i + \"\t\" + err / experienceReplay.getSize());\n\t\t}\n//\t\tSystem.out.println();\n\t\tif (rel2ModuleInput.isEmpty()) {\n\t\t\tArrayList<? extends Node> inputNodes = neuralNet.getInputNodes();\n\t\t\tint j = 0;\n\t\t\tfor (IndirectInput rel : relations) rel2ModuleInput.put(rel, inputNodes.get(j++));\n\t\t}\n\t}","public void train() throws Exception;","public int feedforward(float[] inputs) {\r\n float sum = 0;\r\n for (int i = 0; i < weights.length; i++) {\r\n sum += inputs[i] * weights[i];\r\n }\r\n System.out.println(\"sum = \" + sum);\r\n return activate(sum);\r\n }","private void learn() {\n\t\tupdateValues();\n\t\tif(CFG.isUpdatedPerformanceHistory()){\n\t\t\tupdateHistory();\n\t\t}\n\t\tif(CFG.isEvaluated()) evaluate();\n\t}","public double loss() {\n double L,l;\n if (weightStrategy != 2) {\n\n L = reg * (U.squaredSum() + V.squaredSum());\n for (int u = 0; u < userCount; u++) {\n l = 0;\n for (int i : trainMatrix.getRowRef(u).indexList()) {\n double pred = predict(u, i);\n l += W.getValue(u, i) * Math.pow(trainMatrix.getValue(u, i) - pred, 2);\n l -= getNegWeight(i) * Math.pow(pred, 2);\n }\n l += SV.mult(U.row(u, false)).inner(U.row(u, false));\n L += l;\n }\n\n return L;\n }\n else {\n L = reg * (U.squaredSum() + V.squaredSum());\n for (int i = 0; i < itemCount; i++) {\n l = 0;\n for (int u : trainMatrix.getColRef(i).indexList()) {\n double pred = predict(u, i);\n l += W.getValue(u, i) * Math.pow(trainMatrix.getValue(u, i) - pred, 2);\n l -= getNegWeight(u) * Math.pow(pred, 2);\n }\n l += SU.mult(V.row(i, false)).inner(V.row(i, false));\n L += l;\n }\n\n return L;\n }\n }","public static void main( String[] args) {\n\t\t// A NOTE ON INPUT OUTPUT PAIRS\n\t\t// This class template uses 4 different sample sets of inputs and outputs.\n\t\t// 2 of them are for use with the single Perceptron tutorial (1 with a single input and 1 with two inputs)\n\t\t// the other 2 are for use with the Multilayer Network tutorial (1 with a single input and 1 with two inputs)\n\t\t// Simply uncomment the data set you want to work with\n\t\t// CAUTION: using the data sets intended for Multilayer Networks with a single Perceptron will not converge!\n\n// **** DATA SET 1: For use with a single Perceptron (single input: height)\n\t\tfloat inputs[][] = { {170}, {190}, {165}, {180}, {210} };\n\t\tfloat expectedOutputs[][] = { {0}, {1}, {0}, {0}, {1} }; \n// **** DATA SET 2: For use with a single Perceptron (two inputs: height/weight)\n//\t\tfloat inputs[][] = { {170,60}, {190,70}, {175,105}, {180,90}, {210,100} };\n//\t\tfloat expectedOutputs[][] = { {1}, {1}, {0}, {0}, {1} }; \n// **** DATA SET 3: For use with a Multilayer network (single input: height)\n//\t\tfloat inputs[][] = { {170}, {190}, {165}, {180}, {210} };\n//\t\tfloat expectedOutputs[][] = { {1}, {0}, {1}, {0}, {1} }; \n// **** DATA SET 4: For use with a Multilayer network (two inputs: height/weight)\n//\t\tfloat inputs[][] = { {170,60}, {190,70}, {175,105}, {180,90}, {210,100} };\n//\t\tfloat expectedOutputs[][] = { {1}, {1}, {1}, {0}, {0} }; \n\t\t\n\t\t// the above input/output pairs are intended with the Petra matchmaking tutorials in-class\n\t\t// if you want to try something simpler, try the following data sets approximating boolean operators\n// **** AND gate: can be used with a single Perceptron\n//\t\tfloat inputs[][] = { { 1, 1}, {1,0}, {0,1}, {0,0} };\n//\t\tfloat expectedOutputs[][] = { {1}, {0}, {0}, {0} }; \n// **** XOR gate: must be used with a Multilayer Network\n//\t\tfloat inputs[][] = { { 1, 1}, {1,0}, {0,1}, {0,0} };\n//\t\tfloat expectedOutputs[][] = { {0}, {1}, {1}, {0} }; \n\t\t\n\t\t\n\t\tfloat output[];\n\t\t\n\t\t// Create neural network: CHANGE the network structure depending on the input/output and hidden layers\n\t\t// Don't forget that the first integer in the layers array designates the number of inputs, \n\t\t// while the second and following integers designate the number of neurons in that layer (hidden or output layers).\n\t\tint layers[]={1,1};\n\t\tNeuralNetwork neuralNet = new NeuralNetwork(layers);\n\t\t\n\t\t//Train neural network and print out to screen as we go along\n\t\tfor(int i=0; i<1000; i++ ) {\n\t\t System.out.println(\"##### EPOCH \" + Integer.toString( i ) );\n\t\t for(int p=0; p<4; p++ ) {\n\t\t\t\tSystem.out.print(\"INPUTS: \" );\n\t\t\t\tfor( int x=0; x< layers[0]; x++ ) { System.out.print( Float.toString( inputs[p][x] ) + \" \" ); }\n\t\t\t\tSystem.out.println(\"\");\n\t\t\t\tneuralNet.setInput( inputs[p] );\n\t\t\t\t\n\t\t\t\tneuralNet.activate();\n\t\t\t\t\n\t\t\t\toutput = neuralNet.getOutput();\n\t\t\t\tSystem.out.print(\"OUTPUTS: \" );\n\t\t\t\tfor( int x=0; x< layers[1]; x++ ) { System.out.print( Float.toString( output[x] ) + \" \" ); }\n\t\t\t\tSystem.out.println(\"\");\n\t\t\t\t\n\t\t\t\tneuralNet.applyBackpropagation( expectedOutputs[p] );\n\t\t\t\tSystem.out.print(\"EXPECTED OUTPUTS: \" );\n\t\t\t\tfor( int x=0; x< layers[1]; x++ ) { System.out.print( Float.toString( expectedOutputs[p][x] ) + \" \" ); }\n\t\t\t\tSystem.out.println(\"\");\n\t\t }\n\t\t}\n }","public void batchUpdateWeights() {\n\t\tObject[] keys = nextLayerNodes.keySet().toArray();\n\t\tfor (Object key : keys) {\n\t\t\tNode nextLayerNode = (Node) key;\n\t\t\t// System.out.printf(\"Updating weight from %f to %f%n\", nextLayerNodes.get(nextLayerNode), nextLayerNodesUpdateMap.get(nextLayerNode));\n\t\t\tdouble oldWeight = nextLayerNodes.get(nextLayerNode);\n\t\t\tnextLayerNodes.put(nextLayerNode, nextLayerNodesUpdateMap.get(nextLayerNode));\n\t\t\tdouble newWeight = nextLayerNodes.get(nextLayerNode);\n\t\t\tdouble deltaWeight = oldWeight-newWeight;\n\t\t\tSystem.out.printf(\"Changed from %f to %f%n\", oldWeight, newWeight);\n\t\t\tif (deltaWeight > 0.0) {\n\t\t\t\tif (nextLayerNodesArrayList.get(0).nextLayerNodes.size() == 0) {\n\t\t\t\t\tSystem.out.print(\"Hidden Node connected to output layer \");\n\t\t\t\t} else {\n\t\t\t\t\tSystem.out.print(\"Node connected to another hidden layer \");\n\t\t\t\t}\n\t\t\t\tSystem.out.printf (\"Increased!! Delta weight = %.10f%n\", deltaWeight);\n\t\t\t} else if (deltaWeight < 0.0) {\n\t\t\t\tif (nextLayerNodesArrayList.get(0).nextLayerNodes.size() == 0) {\n\t\t\t\t\tSystem.out.print(\"Hidden Node connected to output layer \");\n\t\t\t\t} else {\n\t\t\t\t\tSystem.out.print(\"Node connected to another hidden layer \");\n\t\t\t\t}\n\t\t\t\tSystem.out.printf(\"Decreased!! Delta weight = %.10f%n\", deltaWeight);\n\t\t\t}\n\t\t}\n\t}","public void calculateOutput() {\n inputSum = 0.0;\n //for output (linear) neuron\n if (layer == 0) {\n for (int i = 0; i < inputs; ++i) {\n inputSum += weights[i] * network.getInput()[i];\n }\n }\n //for Sigmoidal neurons\n else {\n for(int i = 0; i < inputs; ++i) {\n inputSum += weights[i] * network.getNeurons()[layer - 1][i].output;\n }\n }\n if (enableConstAddend) {\n inputSum += weights[inputs];\n }\n output = activate(inputSum);\n }","private void gradientDecent(double[][] X, double[] y){\n double[] h = matrix.sigmoid(matrix.multiply(X,Theta));\n double[] cp = costPrime(X,h,y);\n\n double scp = 0;\n for(double i: cp){\n scp = scp + i;\n }\n System.out.println(+ cost(h,y));\n // Average Cost\n scp = round(scp/h.length,5);\n System.out.println(scp);\n int j = 0;\n\n // while Average Cost is not 0\n while(scp > 0.00001){\n Theta = matrix.subtract(Theta,matrix.multiply(alpha,cp));\n h = matrix.sigmoid(matrix.multiply(X,Theta));\n cp = costPrime(X,h,y);\n double sum = 0;\n for(double i: cp){\n sum = sum + i;\n }\n scp = round(sum/h.length,5);\n System.out.println(scp);\n }\n }","private void forwardCalculation(double[] recordInputs) {\n\t\t\tfor (int j = 0; j < numberOfInputs; j++) {\n\t\t\t\tinput[j] = recordInputs[j];\n\t\t\t}\n\t\t\n\t\t// for each hidden node\n\t\tfor (int i = 0; i < numberOfMiddle; i++) {\n\t\t\tdouble sum = 0;\n\n\t\t\t// compute input at hidden node\n\t\t\tfor (int j = 0; j < numberOfInputs; j++) {\n\t\t\t\tsum += input[j] * matrixMiddle[j][i];\n\t\t\t}\n\n\t\t\t// add theta\n\t\t\tsum += thetaMiddle[i];\n\n\t\t\t// compute output at hidden node\n\t\t\tmiddle[i] = 1 / (1 + Math.exp(-sum));\n\n\t\t}\n\n\t\t// for each output node\n\t\tfor (int i = 0; i < numberOfOutputs; i++) {\n\t\t\tdouble sum = 0;\n\n\t\t\t// compute input at output node\n\t\t\tfor (int j = 0; j < numberOfMiddle; j++) {\n\t\t\t\tsum += middle[j] * matrixOutput[j][i];\n\t\t\t}\n\n\t\t\t// add theta\n\t\t\tsum += thetaOutput[i];\n\n\t\t\t// compute output at output node\n\t\t\toutput[i] = 1 / (1 + Math.exp(-sum));\n\t\t}\n\t}","public BackPropagationNeural_3H(int size_in,int size_hidden1,int size_hidden2,int size_hidden3,int size_output){\n\t\tthis.size_in = size_in;\n\t\tthis.size_hidden1 = size_hidden1;\n\t\tthis.size_hidden2 = size_hidden2;\n\t\tthis.size_hidden3 = size_hidden3;\n\t\tthis.size_output = size_output;\n\t\t\n\t\tinputs = new float[size_in];\n\t\thidden1 = new float[size_hidden1];\n\t\thidden2 = new float[size_hidden2];\n\t\thidden3 = new float[size_hidden3];\n\t\toutput = new float[size_output];\n\t\t\n\t\tweight1 = new float[size_in][size_hidden1];\n\t\tweight2 = new float[size_hidden1][size_hidden2];\n\t\tweight3 = new float[size_hidden2][size_hidden3];\n\t\tweight4 = new float[size_hidden3][size_output];\n\t\t\n\t\tW1_last_delta = new float[size_in][size_hidden1];\n W2_last_delta = new float[size_hidden1][size_hidden2];\n W3_last_delta = new float[size_hidden2][size_hidden3];\n W4_last_delta = new float[size_hidden3][size_output];\n \n\t\trandomizeWeights();\n\t\toutput_error = new float[size_output];\n\t\thidden1_error = new float[size_hidden1];\n\t\thidden2_error = new float[size_hidden2];\n\t\thidden3_error = new float[size_hidden3];\n\t}","public void trainingPreprocessing() {\n neuralNetAndDataSet = new NeuralNetAndDataSet(neuralNetwork, trainingSet);\n trainingController = new TrainingController(neuralNetAndDataSet);\n neuralNetwork.getLearningRule().addListener(this);\n trainingController.setLmsParams(0.7, 0.01, 0);\n LMS learningRule = (LMS) this.neuralNetAndDataSet.getNetwork().getLearningRule();\n if (learningRule instanceof MomentumBackpropagation) {\n ((MomentumBackpropagation) learningRule).setMomentum(0.2);\n }\n }","private void calculateUpdates(\n BSPPeer<LongWritable, FloatVectorWritable, NullWritable, NullWritable, ParameterMessage> peer)\n throws IOException {\n // receive update information from master\n if (peer.getNumCurrentMessages() != 0) {\n ParameterMessage inMessage = peer.getCurrentMessage();\n FloatMatrix[] newWeights = inMessage.getCurMatrices();\n FloatMatrix[] preWeightUpdates = inMessage.getPrevMatrices();\n this.inMemoryModel.setWeightMatrices(newWeights);\n this.inMemoryModel.setPrevWeightMatrices(preWeightUpdates);\n this.isConverge = inMessage.isConverge();\n // check converge\n if (isConverge) {\n return;\n }\n }\n\n FloatMatrix[] weightUpdates = new FloatMatrix[this.inMemoryModel.getSizeOfWeightmatrix()];\n int matrixIdx = 0;\n for (List<FloatMatrix> aWeightMatrixList: this.inMemoryModel.weightMatrixLists) {\n for (FloatMatrix aWeightMatrix : aWeightMatrixList) {\n weightUpdates[matrixIdx++] = new DenseFloatMatrix(\n aWeightMatrix.getRowCount(), aWeightMatrix.getColumnCount());\n }\n }\n\n // continue to train\n float avgTrainingError = 0.0f;\n for (int recordsRead = 0; recordsRead < batchSize; ++recordsRead) {\n FloatVector trainingInstance = getRandomInstance();\n RecurrentLayeredNeuralNetwork.matricesAdd(\n weightUpdates, this.inMemoryModel.trainByInstance(trainingInstance));\n avgTrainingError += this.inMemoryModel.trainingError;\n }\n avgTrainingError /= batchSize;\n\n // calculate the average of updates\n for (int i = 0; i < weightUpdates.length; ++i) {\n weightUpdates[i] = weightUpdates[i].divide(batchSize);\n }\n\n FloatMatrix[] prevWeightUpdates = this.inMemoryModel\n .getPrevMatricesUpdates();\n ParameterMessage outMessage = new ParameterMessage(avgTrainingError, false,\n weightUpdates, prevWeightUpdates);\n\n peer.send(peer.getPeerName(peer.getNumPeers() - 1), outMessage);\n }","public void train() {\n\n int w;\n double sum = 0, avg;\n double forecast;\n double[][] trainMatrix = new double[trainPoints][2];\n double[][] valMatrix = new double[validationPoints][2];\n actual = observations.toArray();\n\n for (int i = 0; i < step * slices; i++)\n sum += actual[i];\n\n avg = sum / slices;\n\n for (int pos = 0; pos < trainPoints; pos++) {\n sum = 0;\n w = 0;\n\n if (pos >= step * slices) {\n for (int k = pos - step * slices; k < pos; k += step)\n sum += actual[k] * weights[w++];\n forecast = sum / slices;\n } else forecast = avg;\n\n trainMatrix[pos][0] = actual[pos];\n trainMatrix[pos][1] = forecast;\n }\n\n for (int pos = actual.length - validationPoints, j = 0; pos < actual.length; pos++) {\n sum = 0;\n w = 0;\n for (int k = pos - step * slices; k < pos; k += step)\n sum += actual[k] * weights[w++];\n forecast = sum / slices;\n valMatrix[j][0] = actual[pos];\n valMatrix[j][1] = forecast;\n j++;\n }\n double biasness = BiasnessHandler.handleOffset(valMatrix);\n accuracyIndicators.setBias(biasness);\n ModelUtil.computeAccuracyIndicators(accuracyIndicators, trainMatrix, valMatrix, dof);\n errorBound = ErrorBoundsHandler.computeErrorBoundInterval(trainMatrix);\n }","@Override\n /**\n * @param X The input vector. An array of doubles.\n * @return The value returned by th LUT or NN for this input vector\n */\n\n public double outputFor(double[] X) {\n int i = 0, j = 0;\n for(i=0;i<argNumInputs;i++){\n S[0][i] = X[i];\n NeuronCell[0][i] = X[i];\n }\n //then add the bias term\n S[0][argNumInputs] = 1;\n NeuronCell[0][argNumInputs] = customSigmoid(S[0][argNumInputs]);\n S[1][argNumHidden] = 1;\n NeuronCell[1][argNumHidden] = customSigmoid(S[1][argNumInputs]);\n\n for(i=0;i<argNumHidden;i++){\n for(j=0;j<=argNumInputs;j++){\n //Wji : weigth from j to i\n WeightSum+=NeuronCell[0][j]*Weight[0][j][i];\n }\n //Sj = sigma(Wji * Xi)\n S[1][i]=WeightSum;\n NeuronCell[1][i]=(customSigmoid(WeightSum));\n //reset weigthsum\n WeightSum=0;\n }\n\n for(i = 0; i < argNumOutputs; i++){\n for(j = 0;j <= argNumHidden;j++){\n WeightSum += NeuronCell[1][j] * Weight[1][j][i];\n }\n NeuronCell[2][i]=customSigmoid(WeightSum);\n S[2][i]=WeightSum;\n WeightSum=0;\n }\n //if we only return 1 double, it means we only have one output, so actually we can write return NeuronCell[2][0]\n return NeuronCell[2][0];\n }","public static Weights getNewWeights(Ball b, Example e, Batch batch, double learnRate) {\n weights.clear();\n Object o = b.getLast();\n\n for (GroundKappa gk: GroundKappaGetter.getAllGroundKappas(b)) {\n backpropLines(o, gk, b, e, batch, learnRate);\n }\n return weights;\n }","public void train() {\n while (!environment.inTerminalState()) {\n\n Action action = policy.chooseAction(environment);\n List<Double> stateAction = environment.getStateAction(action);\n\n double knownReward = environment.immediateReward(action);\n double totalReward = environment.performAction(action);\n double unknownReward = totalReward - knownReward;\n\n // Next state of environment is implicitly passed.\n backup(stateAction, unknownReward);\n }\n }","public interface Layer {\n /**\n * @return The number of neurons, excluding bias neurons and context neurons. This is the number of neurons that\n * are directly fed from elsewhere.\n */\n int getCount();\n\n /**\n * @return The number of neurons, including bias neurons and context neurons.\n */\n int getTotalCount();\n\n /**\n * @return The activation/transfer function for this neuron.\n */\n ActivationFunction getActivation();\n\n /**\n * Finalize the structure of this layer.\n * @param theOwner The neural network that owns this layer.\n * @param theLayerIndex The zero-based index of this layer.\n * @param counts The counts structure to track the weight and neuron counts.\n */\n void finalizeStructure(BasicNetwork theOwner, int theLayerIndex,\n TempStructureCounts counts);\n\n /**\n * Compute this layer.\n */\n void computeLayer();\n\n /**\n * Compute the gradients for this layer.\n * @param calc The gradient calculation utility.\n */\n void computeGradient(GradientCalc calc);\n\n /**\n * @return The start of this layer's weights in the weight vector.\n */\n int getWeightIndex();\n\n /**\n * @return The start of this layer's neurons in the neuron vector.\n */\n int getNeuronIndex();\n\n /**\n * Notification that a training batch is beginning.\n * @param rnd A random number generator, from the trainer.\n */\n void trainingBatch(GenerateRandom rnd);\n\n /**\n * @return The owner of the neural network.\n */\n BasicNetwork getOwner();\n\n /**\n * @return True if this neuron has bias.\n */\n boolean hasBias();\n}","@Override\r\n\tpublic DataContainer forwardProp(DataContainer forwardPropData, boolean training) {\n\t\tMat input = forwardPropData.getVec(); \r\n\t\t\r\n\t\tif (!set) {\r\n\t\t\tinputWeight = Mat.randomMatrix(input.size[1] + 1, fout, - 0.3, 0.3); \r\n\t\t\tset = true; \r\n\t\t}\r\n\t\t\r\n\t\tMat inputBiased = (input).appendRight(new Mat(1,1,1)); \r\n\t\tMat output = inputBiased.mul(inputWeight); \r\n\t\tif (training) {\r\n\t\t\tlastInputBiased = inputBiased; \r\n\t\t}\r\n\t\telse {\r\n\t\t\tlastInputBiased = null; \r\n\t\t}\r\n\t\t\r\n\t\treturn new DataContainer(output); \r\n\t}","protected BackpropNeuron createNeuron(int layer, int index)\n\t{\n\t\tif( layer == 0 )\n\t\t\treturn new InputBackpropNeuron(this, this.activationFunction, this.learningRate);\n\t\telse if(layer >= (this.getLayerCount() - 1))\n\t\t\treturn new OutputBackpropNeuron(this, this.activationFunction, this.learningRate);\n\t\telse\n\t\t\treturn new BackpropNeuron(this, this.activationFunction, this.learningRate);\n\t}","@Override\n public void train() {\n actual = observations.toArray();\n min_val_error = Double.MAX_VALUE;\n if (findDecayConstant)\n for (float alpha = 0f; alpha <= 1f; alpha += 0.01f)\n initializeAndTrainModel(alpha);\n else\n initializeAndTrainModel(optAlpha);\n }","@Test\n public void testAccumulateGradients() {\n // TODO: MXNet support for accumulating gradients does not currently work\n TestUtils.requiresNotEngine(\"MXNet\");\n try (NDManager manager = NDManager.newBaseManager(TestUtils.getEngine())) {\n NDArray a = manager.create(0.0f);\n a.setRequiresGradient(true);\n\n Engine engine = Engine.getEngine(TestUtils.getEngine());\n try (GradientCollector gc = engine.newGradientCollector()) {\n for (int i = 1; i <= 3; i++) {\n NDArray b = a.mul(2);\n gc.backward(b);\n Assert.assertEquals(a.getGradient().getFloat(), 2.0f * i);\n }\n }\n }\n }","NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Random random, Double[][] hiddenWeights, Double[][] outputWeights) {\r\n this.trainingSet = trainingSet;\r\n this.learningRate = learningRate;\r\n this.maxEpoch = maxEpoch;\r\n this.random = random;\r\n\r\n //input layer nodes\r\n inputNodes = new ArrayList<>();\r\n int inputNodeCount = trainingSet.get(0).attributes.size();\r\n int outputNodeCount = trainingSet.get(0).classValues.size();\r\n for (int i = 0; i < inputNodeCount; i++) {\r\n Node node = new Node(0);\r\n inputNodes.add(node);\r\n }\r\n\r\n //bias node from input layer to hidden\r\n Node biasToHidden = new Node(1);\r\n inputNodes.add(biasToHidden);\r\n\r\n //hidden layer nodes\r\n hiddenNodes = new ArrayList<>();\r\n for (int i = 0; i < hiddenNodeCount; i++) {\r\n Node node = new Node(2);\r\n //Connecting hidden layer nodes with input layer nodes\r\n for (int j = 0; j < inputNodes.size(); j++) {\r\n NodeWeightPair nwp = new NodeWeightPair(inputNodes.get(j), hiddenWeights[i][j]);\r\n node.parents.add(nwp);\r\n }\r\n hiddenNodes.add(node);\r\n }\r\n\r\n //bias node from hidden layer to output\r\n Node biasToOutput = new Node(3);\r\n hiddenNodes.add(biasToOutput);\r\n\r\n //Output node layer\r\n outputNodes = new ArrayList<>();\r\n for (int i = 0; i < outputNodeCount; i++) {\r\n Node node = new Node(4);\r\n //Connecting output layer nodes with hidden layer nodes\r\n for (int j = 0; j < hiddenNodes.size(); j++) {\r\n NodeWeightPair nwp = new NodeWeightPair(hiddenNodes.get(j), outputWeights[i][j]);\r\n node.parents.add(nwp);\r\n }\r\n outputNodes.add(node);\r\n }\r\n }","@Override\n\tpublic void trainLocal() throws Exception {\n\t\tdouble [][] input = parameters.getInput();\n\t\tdouble [][] result = ann.getResults(parameters);\n\t\tif (state == preTraining) {//in this case, it is running in the pre-training mode.\n\t\t\tinput = newInput;\n\t\t\tresult = newInput;\n\t\t}\n\t\terr = 0; \n\t\tfor (int i = 0; i < mb; i++) {\t\n\t\t\tif (pos > input.length - 1) {\n\t\t\t\tpos = 0;\n\t\t\t}\n\t\t\terr = err + ann.runEpoch(input[pos], pos, result[pos], parameters);\n\t\t\tpos++;\n\t\t}\n\t}","abstract public LinkedList<Vertex> betaReduction();","public void performTraining() {\n\tint counter = 0;\n\tint success = 0;\n\n\tdo {\n\t success = 0;\n\n\t for (int ii = 0; ii < pl.size(); ii++) {\n\t\tPattern pn = pl.get(ii);\n\t\tbp.runNetwork(pn);\n\t\tbp.trainNetwork(pn);\n\n\t\tdouble truth[] = pn.getOutput();\t\t\n\t\tdouble results[] = bp.getOutputPattern();\n\n\t\tboolean failed = false;\n\n// \t\tSystem.out.print(\"patt \" + ii + \" \");\n// \t\tdouble[] input = pn.getInput();\n// for (int jj = 0; jj < input.length; jj++) {\n// \t\t System.out.print(round2(input[jj]) + \" \");\n// \t\t}\n// \t\tSystem.out.print(\"// \");\n// for (int jj = 0; jj < truth.length; jj++) {\n// \t\t System.out.print(round2(truth[jj]) + \" \");\n// \t\t}\n// \t\tSystem.out.println();\n\n// for (int jj = 0; jj < results.length; jj++) {\n// \t\t System.out.print(results[jj] + \" \");\n// \t\t // System.out.print(round2(results[jj]) + \" \");\n// \t\t}\n// \t\tSystem.out.println();\n\t\t\n\t\tfor (int jj = 0; jj < results.length; jj++) {\n if (round1(results[jj]) != round2(truth[jj])) {\n failed = true;\n }\n\t\t}\n \n if (!failed) {\n ++success;\n } \n }\n\n\t if ((++counter % 100) == 0) {\n System.out.println(counter + \" success:\" + success + \" needed:\" + pl.size());\n }\n } while (success < pl.size());\n\t\n\tSystem.out.println(\"Training complete in \" + counter + \" cycles\");\n }","protected void trainModuleNN(Map<DiscreteState, Double> out1f, int[] numHidden,\n\t\t\tint epochs, double lRate, double mRate, double sRate) {\n\t\tfor(int i = 0; i < epochs; i++) {\n//\t\t\tdouble err = 0;\n\t\t\tfor (Map.Entry<DiscreteState, Double> entry : out1f.entrySet()) {\n\t\t\t\tdouble[] input = entry.getKey().getRawState();\n\t\t\t\tif (neuralNet == null) neuralNet = new FFNeuralNetwork(ActivationFunction.SIGMOID0p5,\n\t\t\t\t\t\tinput.length, 1, numHidden);\n\t\t\t\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), input);\n\t\t\t\tFFNeuralNetwork.backPropagate(neuralNet.getOutputNodes(), lRate, mRate, sRate, entry.getValue());\n//\t\t\t\terr += FFNeuralNetwork.getError(new double[] {entry.getValue()}, neuralNet.getOutputNodes());\n\t\t\t}\n//\t\t\tSystem.out.println(i + \"\t\" + err / out1f.size());\n\t\t}\n//\t\tfor (Map.Entry<DiscreteState, Double> entry : out1f.entrySet()) {\n//\t\t\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), entry.getKey().getRawState());\n//\t\t\tSystem.out.println(entry.getValue() + \"\tvs\t\" + neuralNet.getOutputNodes().get(0).getActivation());\n//\t\t}\n\t\tif (rel2ModuleInput.isEmpty()) {\n\t\t\tArrayList<? extends Node> inputNodes = neuralNet.getInputNodes();\n\t\t\tint j = 0;\n\t\t\tfor (IndirectInput rel : relations) rel2ModuleInput.put(rel, inputNodes.get(j++));\n\t\t}\n\t}","private float predictPrueba(float features) {\n float n_epochs = num_epoch;\n float num1 = (float) Math.random();\n float output = 0; //y\n\n //First, create an input tensor:\n /*\n\n */\n\n\n //**** TEORIA *******\n //First, create an input tensor:\n //Tensor input = Tensor.create(features);\n // float[][] output = new float[1][1];\n //Then perform inference by:\n //Tensor op_tensor = sess.runner().feed(\"input\", input).fetch(\"output\").run().get(0).expect(Float.class);\n //Copy this output to a float array using:\n //op_tensor.copyTo(output);\n // values.copyTo(output);\n Tensor input = Tensor.create(features);\n Tensor op_tensor = sess.runner().feed(\"input\",input).fetch(\"output\").run().get(0).expect(Float.class);\n //para escribir en la app en W y B test\n ArrayList<Tensor<?>> values = (ArrayList<Tensor<?>>) sess.runner().fetch(\"W/read\").fetch(\"b/read\").run();\n // NO VA ESTA PRUEBA ArrayList<Tensor<?>> values = (ArrayList<Tensor<?>>) sess.runner().fetch(\"W/read\").fetch(\"b/read\").fetch(\"y/output\").run();\n\n Wtest.setText(\"W_inicial: \"+(Float.toString(values.get(0).floatValue())));\n Btest.setText(\"b_inicial: \"+Float.toString(values.get(1).floatValue()));\n y_mejoras_w.add(((values.get(0).floatValue())));\n x_mejoras_w.add( \"\"+(0+ num_epoch*num));\n\n y_mejoras_b.add(((values.get(1).floatValue())));\n x_mejoras_b.add( \"\"+(0+ num_epoch*num));\n\n ///\n\n // Y.setText(Float.toString(values.get(1).floatValue()));\n\n return output; ///mal\n }","public void activate() {\n double dotProduct = 0;\n for (Synapse s : super.getSynapsesIn()) {\n dotProduct += s.getNeuronFrom().getOutput() * s.getWeight();\n }\n super.setOutput(sigmoidFunction(dotProduct));\n }","@Override\r\n\tpublic DataContainer backProp(DataContainer backPropError, double learningRate) {\n\t\tif (lastInputBiased == null) {\r\n\t\t\tthrow new RuntimeException(\"Invalid operation\"); \r\n\t\t}\r\n\t\tMat error = backPropError.getVec(); \r\n\t\t\r\n\t\tMat dW = lastInputBiased.T().mul(error).scale(learningRate); \r\n\t\t\r\n\t\tMat temp = error.mul(inputWeight.T()); \r\n Mat output = new Mat(temp.size[0], temp.size[1] - 1); \r\n for (int i = 0; i < output.size[1]; i++) {\r\n \toutput.matrix[0][i] = temp.matrix[0][i]; \r\n }\r\n \r\n\t\tinputWeight = inputWeight.add(dW); \r\n\t\t\r\n\t\treturn new DataContainer(output); \r\n\t}","public void initWeights(){\n setNextLayer(network.getNextLayer(layerNumber));\n //determine the number of neurons in the next layer\n int neuronNextLayer = next.neuronCount;\n //create arrays for backpopagation learning\n createArr();\n //set the weightThreshold\n weightThreshold = new double[neuronCount+1][neuronNextLayer];\n //System.out.println(\"weightThreshold row:\"+weightThreshold.length+\" col:\"+weightThreshold[0].length);\n //randomize all the elements. range is between -.5 and .5\n for(int i=0; i<weightThreshold.length; i++){\n for(int j=0; j<weightThreshold[i].length; j++){\n weightThreshold[i][j] = getRandomNumber();\n }\n }\n }"],"string":"[\n \"public void applyBackpropagation( float expectedOutput[] ) {\\n\\t\\t// The code for updating weights goes here \\n\\t\\t// NOTE: if using a single perceptron, this is not technically back-propagation, despite the function name \\n }\",\n \"private void backwardPropagation(int[] trainingData, int[] trainingLabel, double[] outputActivations, double[] hiddenActiv) {\\n\\t\\tdouble[] delta = new double[SIZE_OUTPUT_LAYER];\\n\\t\\t// Update OutputLayer weights\\n\\t\\tfor(int indexOutput = 0; indexOutput < SIZE_OUTPUT_LAYER; indexOutput++) {\\n\\t\\t\\t// We define delta as the difference between the real label and the softmax probability\\n\\t\\t\\tdelta[indexOutput] = trainingLabel[indexOutput] - outputActivations[indexOutput];\\n\\n\\t\\t\\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\\n\\t\\t\\t\\tweightsOfOutputLayer[indexOutput][indexHidden] += learningRate * delta[indexOutput] * hiddenActiv[indexHidden] / datasetSize;\\n\\t\\t\\t}\\t\\n\\t\\t\\tbiasOfOutputLayer[indexOutput] += learningRate * delta[indexOutput] / datasetSize;\\n\\t\\t}\\t\\n\\t\\t// Create delta2 \\n\\t\\tdouble[] delta2 = new double[SIZE_HIDDEN_LAYER];\\n\\t\\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\\n\\t\\t\\tdelta2[i] = 0;\\n\\t\\t\\tfor(int j = 0; j < SIZE_OUTPUT_LAYER; j++) {\\n\\t\\t\\t\\t// Why is it multiplying the weights for delta1?\\n\\t\\t\\t\\tdelta2[i] += delta[j] * weightsOfOutputLayer[j][i];\\n\\t\\t\\t}\\n\\t\\t\\tdelta2[i] *= dtanh(hiddenActiv[i]);\\n\\t\\t}\\n\\t\\t// Update HiddenLayer weights\\n\\t\\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\\n\\t\\t\\tfor(int j = 0; j < SIZE_INPUT_LAYER; j++) {\\n weightsOfHiddenLayer[i][j] += learningRate * delta2[i] * (double)trainingData[j] / datasetSize;\\n\\t\\t\\t}\\n biasOfHiddenLayer[i] += learningRate * delta2[i] / datasetSize;\\n\\t\\t}\\t\\n\\t}\",\n \"@Override\\n\\tpublic void backProp() {\\n\\t\\tdouble dOut = 0;\\n\\t\\tfor (Node n : outputs) {\\n\\t\\t\\tdOut += n.dInputs.get(this);\\n\\t\\t}\\n\\t\\tdouble dTotal = activationFunction.derivative(total)*dOut;\\n\\t\\tfor (Node n : inputs) {\\n\\t\\t\\tdInputs.put(n, dTotal * weights.get(n).getWeight());\\n\\t\\t\\tweights.get(n).adjustWeight(dTotal * n.output);\\n\\t\\t}\\n\\t\\tbiasWeight.adjustWeight(bias * dTotal);\\n\\t}\",\n \"@Override\\n\\tpublic void train(DataSet data) {\\n\\t\\tArrayList<Example> examples = data.getCopyWithBias().getData();\\n\\t\\t// initialize both weight vectors with random values between -0.1 ad 0.1\\n\\t\\tinitWeights(examples.size());\\n\\n\\t\\t// store outputs from forward calculation for each example\\n\\t\\t// array will have size # examples.\\n\\t\\tArrayList<Double> nodeOutputs = calculateForward(examples);\\n\\n\\t\\t// now take error and back-propagate from output to hidden nodes\\n\\n\\t\\tfor (int j = 0; j < examples.size(); j++) {\\n\\t\\t\\tExample ex = examples.get(j);\\n\\n\\t\\t\\t// get hidden node outputs for single example\\n\\t\\t\\tfor (int num = 0; num < numHidden; num++) {\\n\\t\\t\\t\\tArrayList<Double> h_outputs = hiddenOutputs.get(num);\\n\\t\\t\\t\\tdouble vDotH = dotProduct(h_outputs, layerTwoWeights); // calculate\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// v dot\\n\\t\\t\\t\\t// h for\\n\\t\\t\\t\\t// this node\\n\\n\\t\\t\\t\\tfor (int i = 0; i < numHidden - 1; i++) {\\n\\t\\t\\t\\t\\tdouble oldV = layerTwoWeights.get(i);\\n\\t\\t\\t\\t\\tdouble hk = h_outputs.get(i);\\n\\t\\t\\t\\t\\t// Equation describing line below:\\n\\t\\t\\t\\t\\t// v_k = v_k + eta*h_k(y-f(v dot h)) f'(v dot h)\\n\\t\\t\\t\\t\\tlayerTwoWeights.set(i, oldV + eta * hk * (ex.getLabel() - Math.tanh(vDotH)) * derivative(vDotH));\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tSet<Integer> features = ex.getFeatureSet();\\n\\t\\t\\t\\tIterator<Integer> iter = features.iterator();\\n\\t\\t\\t\\tArrayList<Double> featureVals = new ArrayList<Double>();\\n\\t\\t\\t\\tfor (int f : features) {\\n\\t\\t\\t\\t\\tfeatureVals.add((double) f);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// take that error and back-propagate one more time\\n\\t\\t\\t\\tfor (int x = 0; x < numHidden; x++) {\\n\\t\\t\\t\\t\\tArrayList<Double> initWeights = hiddenWeights.get(x);\\n\\t\\t\\t\\t\\t// List<Object> features =\\n\\t\\t\\t\\t\\t// Arrays.asList(ex.getFeatureSet().toArray());\\n\\n\\t\\t\\t\\t\\t// for (int i = 0; i < featureVals.size()-1; i++) {\\n\\t\\t\\t\\t\\tdouble oldWeight = initWeights.get(j);\\n\\t\\t\\t\\t\\tdouble thisInput = ex.getFeature(featureVals.get(x).intValue());\\n\\t\\t\\t\\t\\t// w_kj = w_kj + eta*xj(input)*f'(w_k dot x)*v_k*f'(v dot\\n\\t\\t\\t\\t\\t// h)(y-f(v dot h))\\n\\t\\t\\t\\t\\tdouble updateWeight = oldWeight + eta * thisInput * derivative(dotProduct(featureVals, initWeights))\\n\\t\\t\\t\\t\\t\\t\\t* layerTwoWeights.get(x) * derivative(vDotH) * (ex.getLabel() - Math.tanh(vDotH));\\n\\t\\t\\t\\t\\tinitWeights.set(j, updateWeight);\\n\\t\\t\\t\\t\\t// }\\n\\t\\t\\t\\t\\thiddenWeights.set(x, initWeights); // update weights for\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// current\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// example\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t}\",\n \"public FFANNAdaptiveBackPropagationJSP()\\n\\t{\\n\\t\\t//run(network, numberInputNeurons, numberHiddenNeurons, numberOutputNeurons, trainingSet);\\n\\t}\",\n \"public void backprop(double[] inputs, FeedForwardNeuralNetwork net, boolean verbose)\\n {\\n //create variables that will be used later\\n int[] sizes = net.getSizes();\\n int biggestSize = 0;\\n for(int k = 0; k < sizes.length; k++)\\n {\\n if(sizes[k] > biggestSize)\\n {\\n biggestSize = sizes[k];\\n }\\n }\\n int hiddenLayers = sizes.length - 2;\\n //if input or output wrong size, return\\n if(inputs.length != sizes[0])\\n {\\n System.out.println(\\\"Invalid number of inputs\\\");\\n return;\\n }\\n\\n double[][] allOutputs = new double[sizes.length][biggestSize];\\n double[][] allErrors = new double[sizes.length][biggestSize];\\n\\n //fill out first layer to temp output\\n int lastLayer = sizes[0];\\n for(int k = 0; k < lastLayer; k++)\\n {\\n allOutputs[0][k] = inputs[k];\\n }\\n\\n //for each layer after the input\\n for(int k = 1; k < hiddenLayers + 2; k++)\\n {\\n //for each node in that layer\\n for(int a = 0; a < sizes[k]; a++)\\n {\\n //get sum and get activation function result and its derivative\\n double sum = 0;\\n for(int t = 0; t < lastLayer; t++)\\n {\\n sum += allOutputs[k - 1][t] * net.getWeight(k - 1, t, k, a);\\n }\\n sum += net.getBiasNum() * net.getWeight(-1, 0, k, a);\\n if(k != hiddenLayers + 1)\\n {\\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getHiddenActivationFunction());\\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getHiddenActivationFunction());\\n }\\n else\\n {\\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getOutputActivationFunction());\\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getOutputActivationFunction());\\n }\\n }\\n lastLayer = sizes[k];\\n }\\n\\n if(verbose)\\n {\\n System.out.println(\\\"Outputs\\\");\\n for(int k = 0; k < maxClusters; k++)\\n {\\n System.out.print(allOutputs[hiddenLayers + 1][k] + \\\", \\\");\\n }\\n System.out.println();\\n }\\n double[] expectedOutputs = new double[maxClusters];\\n int cluster = 0;\\n double max = 0;\\n for(int k = 0; k < maxClusters; k++)\\n {\\n expectedOutputs[k] = allOutputs[hiddenLayers + 1][k];\\n if(allOutputs[hiddenLayers + 1][k] > max)\\n {\\n cluster = k;\\n max = allOutputs[hiddenLayers + 1][k];\\n }\\n }\\n if(verbose)\\n {\\n System.out.println(\\\"Output \\\" + cluster + \\\" will be set to max value\\\");\\n System.out.println();\\n }\\n\\n expectedOutputs[cluster] = 4;\\n\\n\\n //go backward from output to first hidden layer\\n for(int k = hiddenLayers + 1; k > 0; k--)\\n {\\n //for each node in that layer\\n for(int a = 0; a < sizes[k]; a++)\\n {\\n //compute error for not output layer\\n if(k != hiddenLayers + 1)\\n {\\n double temp = allErrors[k][a];\\n allErrors[k][a] = 0;\\n for(int t = 0; t < sizes[k + 1]; t++)\\n {\\n allErrors[k][a] += net.getWeight(k, t, k + 1, a) * allErrors[k + 1][t];\\n }\\n allErrors[k][a] *= temp;\\n }\\n //compute error for output layer\\n else\\n {\\n allErrors[k][a] *= (expectedOutputs[a] - allOutputs[k][a]);\\n }\\n\\n //for each weight node takes as input\\n for(int t = 0; t < sizes[k - 1]; t++)\\n {\\n //find the delta for the weight and apply\\n int index = net.getIndex(k - 1, t, k, a);\\n double delta = learningRate * allOutputs[k - 1][t] * allErrors[k][a]\\n + momentum * lastDeltas[index];\\n\\n net.setWeight(k - 1, t, k, a, net.getWeight(k - 1, t, k, a) + delta);\\n lastDeltas[index] = delta;\\n }\\n }\\n }\\n }\",\n \"public BackPropagationLearningProcess(NeuralNetwork network) {\\r\\n\\t\\tsuper(network);\\r\\n\\t}\",\n \"private void learnStep(){\\n Connection[][][] temp = this.connections;\\r\\n for(int trialIndex = 0; trialIndex< inputList.length; trialIndex++) {\\r\\n for (int layerIndex = 0; layerIndex < connections.length; layerIndex++) {\\r\\n for (int startIndex = 0; startIndex < connections[layerIndex].length; startIndex++) {\\r\\n for (int endIndex = 0; endIndex < connections[layerIndex][startIndex].length; endIndex++) {\\r\\n double weightDerivative = 0.0;\\r\\n double biasDerivative = 0.0;\\r\\n weightDerivative += learningRate* derivativeWeight(layerIndex, startIndex, endIndex, trialIndex);\\r\\n biasDerivative += learningRate * derivativeBias(layerIndex, startIndex, endIndex, trialIndex);\\r\\n double currentWeight = temp[layerIndex][startIndex][endIndex].getWeight();\\r\\n double currentBias = temp[layerIndex][startIndex][endIndex].getBias();\\r\\n temp[layerIndex][startIndex][endIndex] = new Connection(currentWeight - weightDerivative, currentBias - biasDerivative);\\r\\n\\r\\n }\\r\\n }\\r\\n }\\r\\n this.run();\\r\\n }\\r\\n this.connections = temp;\\r\\n }\",\n \"public void FeedForward() {\\r\\n\\t\\tfor (int i = 0; i < Node.length; i++) {\\r\\n\\t\\t\\tNet = Node[i].Threshold;\\r\\n\\r\\n\\t\\t\\tfor (int j = 0; j < Node[i].Weight.length; j++)\\r\\n\\t\\t\\t\\tNet = Net + Input[j] * Node[i].Weight[j];\\r\\n\\r\\n\\t\\t\\tNode[i].Output = Sigmoid(Net);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public void trainNet() {\\t\\t\\n\\t\\t// Synapses contain the weights for each layer, these are randomised to begin with\\n\\t\\tsynapse0 = new double[X[0].length][hiddenNeurons];\\n\\t\\tpopulateRandom(synapse0, minRandomWeight, maxRandomWeight);\\n\\t\\t\\n\\t\\tsynapse1 = new double[hiddenNeurons][y[0].length];\\n\\t\\tpopulateRandom(synapse1, minRandomWeight, maxRandomWeight);\\n\\t\\t\\n\\t\\t// The layers are the output values of each layer.\\n\\t\\t// They are initialised to nothing to begin with, created properly in the training loop\\n\\t\\tlayer1 = new double[0][0];\\n\\t\\tlayer2 = new double[0][0];\\n\\t\\t\\n\\t\\t// Printing the initial state of the system\\n\\t\\tm.printMatrix(\\\"X:\\\", X);\\n\\t\\tm.printMatrix(\\\"y:\\\", y);\\n\\t\\t\\n\\t\\t// The training loop\\n\\t\\tfor (int i = 0; i < trainingCycles; i++) {\\n\\t\\t\\t// calculate the values of each layer given the inputs and the weights\\n\\t\\t\\tlayer1 = forwardPropogate(X, synapse0);\\n\\t\\t\\tlayer2 = forwardPropogate(layer1, synapse1);\\n\\t\\t\\t\\n\\t\\t\\t// Calculate the delta error for each output layer, starting\\n\\t\\t\\t// with the bottom working up.\\n\\t\\t\\t// This is the difference between the expected values and actual values\\n\\t\\t\\t// times the derivative (gradient) of the sigmoid activation function\\n\\t\\t\\t// The 1st error comes from y - output\\n\\t\\t\\tdouble[][] layer2Delta = m.subtract(y, layer2);\\n\\t\\t\\tlayer2Delta = delta(layer2Delta, layer2);\\n\\t\\t\\t// subsequent layers come from the delta of the lower layer divided by the weights\\n\\t\\t\\tdouble[][] layer1Delta = m.dot(layer2Delta, m.t(synapse1));\\n\\t\\t\\tlayer1Delta = delta(layer1Delta, layer1);\\n\\t\\t\\t\\n\\t\\t\\t// Apply the error gradients to each weight, this moves the value closer to the expected\\n\\t\\t\\t// or reduces the error\\n\\t\\t\\tsynapse1 = m.add(synapse1, m.scale(m.dot(m.t(layer1), layer2Delta), trainingRate));\\n\\t\\t\\tsynapse0 = m.add(synapse0, m.scale(m.dot(m.t(X), layer1Delta), trainingRate));\\n\\t\\t}\\n\\t\\t// Run the input matrix through the net to get outputs for each training value on layer 2\\n\\t\\tdouble[][] testNet = runData(X);\\n\\t\\t// Show the results\\n\\t\\tm.printMatrix(\\\"Output for X after training:\\\", testNet);\\n\\t\\tm.printMatrixInts(\\\"Output for X after training (out of 100:\\\", testNet);\\n\\t}\",\n \"public void train(double[] inputs, double[] outputsTarget) {\\n assert(outputsTarget.length == weights.get(weights.size() - 1).length);\\n \\n ArrayList<double[]> layersOutputs = new ArrayList<double[]>(); \\n classify(inputs, layersOutputs);\\n\\n // Calculate sensitivities for the output nodes\\n int outputNeuronCount = this.weights.get(this.weights.size() - 1).length;\\n double[] nextLayerSensitivities = new double[outputNeuronCount];\\n assert(layersOutputs.get(layersOutputs.size() - 1).length == outputNeuronCount);\\n for (int i = 0; i < outputNeuronCount; i++) {\\n nextLayerSensitivities[i] = calculateErrorPartialDerivitive(\\n layersOutputs.get(layersOutputs.size() - 1)[i],\\n outputsTarget[i]\\n ) * calculateActivationDerivitive(layersOutputs.get(layersOutputs.size() - 1)[i]);\\n assert(!Double.isNaN(nextLayerSensitivities[i]));\\n }\\n\\n for (int weightsIndex = this.weights.size() - 1; weightsIndex >= 0; weightsIndex--) {\\n int previousLayerNeuronCount = this.weights.get(weightsIndex)[0].length;\\n int nextLayerNeuronCount = this.weights.get(weightsIndex).length;\\n assert(nextLayerSensitivities.length == nextLayerNeuronCount);\\n\\n double[] previousLayerOutputs = layersOutputs.get(weightsIndex);\\n double[] previousLayerSensitivities = new double[previousLayerNeuronCount];\\n\\n // Iterate over neurons in the previous layer\\n for (int j = 0; j < previousLayerNeuronCount; j++) {\\n\\n // Calculate the sensitivity of this node\\n double sensitivity = 0;\\n for (int i = 0; i < nextLayerNeuronCount; i++) {\\n sensitivity += nextLayerSensitivities[i] * this.weights.get(weightsIndex)[i][j];\\n }\\n sensitivity *= calculateActivationDerivitive(previousLayerOutputs[j]);\\n assert(!Double.isNaN(sensitivity));\\n previousLayerSensitivities[j] = sensitivity;\\n\\n for (int i = 0; i < nextLayerNeuronCount; i++) {\\n double weightDelta = learningRate * nextLayerSensitivities[i] * calculateActivation(previousLayerOutputs[j]);\\n this.weights.get(weightsIndex)[i][j] += weightDelta;\\n assert(!Double.isNaN(this.weights.get(weightsIndex)[i][j]) && !Double.isInfinite(this.weights.get(weightsIndex)[i][j]));\\n }\\n }\\n\\n nextLayerSensitivities = previousLayerSensitivities;\\n }\\n }\",\n \"public void train()\\r\\n\\t{\\r\\n\\t\\tfor(int i=0; i < this.maxEpoch; i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tfor(Instance temp_example: this.trainingSet)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tdouble O = calculateOutputForInstance(temp_example);\\r\\n\\t\\t\\t\\tdouble T = temp_example.output;\\r\\n\\t\\t\\t\\tdouble err = T - O;\\r\\n\\r\\n\\t\\t\\t\\t//w_jk (hidden to output)\\r\\n\\t\\t\\t\\tdouble g_p_out = (outputNode.getSum() <= 0) ? 0 : 1;\\r\\n\\t\\t\\t\\tfor(NodeWeightPair hiddenNode: outputNode.parents)\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\thiddenNode.set_deltaw_pq(this.learningRate*\\r\\n\\t\\t\\t\\t\\t\\t\\thiddenNode.node.getOutput()*err*g_p_out);\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\t//w_ij (input to hidden)\\r\\n\\t\\t\\t\\tint hid_count =0;\\r\\n\\t\\t\\t\\tfor(Node hiddenNode: hiddenNodes){\\r\\n\\t\\t\\t\\t\\tdouble g_p_hid = (hiddenNode.getSum() <= 0) ? 0 : 1;\\r\\n\\t\\t\\t\\t\\tif(hiddenNode.getType()==2)\\r\\n\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\tfor(NodeWeightPair inputNode: hiddenNode.parents){\\r\\n\\t\\t\\t\\t\\t\\t\\tdouble a_i = inputNode.node.getOutput();\\r\\n\\t\\t\\t\\t\\t\\t\\tinputNode.set_deltaw_pq\\r\\n\\t\\t\\t\\t\\t\\t\\t(\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tthis.learningRate*\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\ta_i*g_p_hid*(err*\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\toutputNode.parents.get(hid_count).weight*\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tg_p_out)\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t} else {\\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\\thid_count++;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t// for all w_pq, update weights\\r\\n\\t\\t\\t\\tfor(Node hiddenNode: hiddenNodes){\\r\\n\\t\\t\\t\\t\\tif(hiddenNode.getType()==2){\\r\\n\\t\\t\\t\\t\\t\\tfor(NodeWeightPair inputNode: hiddenNode.parents){\\r\\n\\t\\t\\t\\t\\t\\t\\tinputNode.weight += inputNode.get_deltaw_pq();\\r\\n\\t\\t\\t\\t\\t\\t\\tinputNode.set_deltaw_pq(new Double (0.00));\\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\\tfor(NodeWeightPair hiddenNode: outputNode.parents)\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\thiddenNode.weight += hiddenNode.get_deltaw_pq();\\r\\n\\t\\t\\t\\t\\thiddenNode.set_deltaw_pq(new Double (0.00));\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t} // end of an instance \\r\\n\\t\\t} // end of an epoch\\r\\n\\t}\",\n \"private void trainPerceptrons(){\\n double activationValues[] = new double[4];\\n for(Image image:asciiReader.getTrainingImages()){\\n for (int j = 0 ; j < activationValues.length; j++){\\n activationValues[j] = activationFunction\\n .apply(sumWeights(j,image));\\n }\\n adjustWeights(activationValues,image);\\n }\\n }\",\n \"private void forwardPropagation(int[] trainingData, double[] activationsOfHiddenLayer, double[] outputActivations) {\\n\\t\\tdouble[] hiddenActivations = new double[SIZE_HIDDEN_LAYER];\\n\\n\\t\\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\\n\\t\\t\\thiddenActivations[indexHidden] = 0;\\n\\t\\t\\tfor(int indexInput = 0; indexInput < SIZE_INPUT_LAYER; indexInput++) {\\n\\t\\t\\t\\thiddenActivations[indexHidden] += weightsOfHiddenLayer[indexHidden][indexInput] * trainingData[indexInput];\\n\\t\\t\\t}\\t\\n\\t\\t\\thiddenActivations[indexHidden] += biasOfHiddenLayer[indexHidden];\\n//\\t\\t\\t// We then call the activation function \\n\\t\\t\\thiddenActivations[indexHidden] = tanh(hiddenActivations[indexHidden]);\\n\\t\\t\\tactivationsOfHiddenLayer[indexHidden] = hiddenActivations[indexHidden];\\n\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\tfor(int indexOuput = 0; indexOuput < SIZE_OUTPUT_LAYER; indexOuput++) {\\n\\t\\t\\toutputActivations[indexOuput] = 0;\\n\\t\\t\\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden ++) {\\n\\t\\t\\t\\toutputActivations[indexOuput] += weightsOfOutputLayer[indexOuput][indexHidden] * hiddenActivations[indexHidden];\\n\\t\\t\\t}\\t\\n\\t\\t\\toutputActivations[indexOuput] += biasOfOutputLayer[indexOuput];\\n\\t\\t}\\n\\t\\tsoftmax(outputActivations);\\t\\n\\t}\",\n \"public static void main(String[] args) {\\n\\t\\tfinal int input1 = 1;\\r\\n\\t\\tfinal int input2 = 1;\\r\\n\\t\\t\\r\\n\\t\\t// One output in layer 3\\r\\n\\t\\tdouble targetOutput = 0;\\r\\n\\t\\t\\r\\n\\t\\t// Input to Hidden (IH) weights\\r\\n\\t\\tdouble IH1 = 0.8;\\r\\n\\t\\tdouble IH2 = 0.4;\\r\\n\\t\\tdouble IH3 = 0.3;\\r\\n\\t\\tdouble IH4 = 0.2;\\r\\n\\t\\tdouble IH5 = 0.9;\\r\\n\\t\\tdouble IH6 = 0.5;\\r\\n\\t\\t\\r\\n\\t\\t// second iteration of weights: Hidden to Output (HO) weights\\r\\n\\t\\tdouble HO1 = 0.3;\\r\\n\\t\\tdouble HO2 = 0.5;\\r\\n\\t\\tdouble HO3 = 0.9;\\r\\n\\t\\t\\r\\n\\t\\t// initialization\\r\\n\\t\\tdouble weightedSum1;\\r\\n\\t\\tdouble weightedSum2;\\r\\n\\t\\tdouble weightedSum3;\\r\\n\\t\\t\\r\\n\\t\\tdouble hiddenOutput1;\\r\\n\\t\\tdouble hiddenOutput2;\\r\\n\\t\\tdouble hiddenOutput3;\\r\\n\\t\\t\\r\\n\\t\\tdouble calculatedOutput;\\r\\n\\t\\t\\r\\n\\t\\tdouble secondWeightedSum;\\r\\n\\t\\t\\r\\n\\t\\tdouble outputSumError;\\r\\n\\t\\t\\r\\n\\t\\tdouble deltaSum;\\r\\n\\t\\t\\r\\n\\t\\tdouble deltaHO1;\\r\\n\\t\\tdouble deltaHO2;\\r\\n\\t\\tdouble deltaHO3;\\r\\n\\t\\t\\r\\n\\t\\tdouble deltaIH1;\\r\\n\\t\\tdouble deltaIH2;\\r\\n\\t\\tdouble deltaIH3;\\r\\n\\t\\tdouble deltaIH4;\\r\\n\\t\\tdouble deltaIH5;\\r\\n\\t\\tdouble deltaIH6;\\r\\n\\t\\t\\r\\n\\t\\tfor (int i=0;i<10000;i++){\\r\\n\\t\\t\\t// Three inputs in layer 2 (hidden layer)\\r\\n\\t\\t\\tweightedSum1 = input1*IH1+input2*IH4;\\r\\n\\t\\t\\tweightedSum2 = input1*IH2+input2*IH5;\\r\\n\\t\\t\\tweightedSum3 = input1*IH3+input2*IH6;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t// weighted sums converted into probabilities by sigmoid\\r\\n\\t\\t\\thiddenOutput1 = sigmoid(weightedSum1);\\r\\n\\t\\t\\thiddenOutput2 = sigmoid(weightedSum2);\\r\\n\\t\\t\\thiddenOutput3 = sigmoid(weightedSum3);\\r\\n\\t\\t\\t// second iteration of weighted sum\\r\\n\\t\\t\\tsecondWeightedSum = hiddenOutput1*HO1+hiddenOutput2*HO2+hiddenOutput3*HO3;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t// applying sigmoid on secondWeightedSum to get calculatedOutput\\r\\n\\t\\t\\tcalculatedOutput = sigmoid(secondWeightedSum);\\r\\n\\t\\t\\tSystem.out.println(calculatedOutput);\\r\\n\\t\\t\\t// Back Propagation \\r\\n\\t\\t\\t\\r\\n\\t\\t\\t//output sum error = target output - calculated output\\r\\n\\t\\t\\toutputSumError = targetOutput - calculatedOutput;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t// delta sum = S'(sum)*outputSumError \\r\\n\\t\\t\\tdeltaSum = sigmoidPrime(secondWeightedSum)*outputSumError;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t/* deltaIHWeights (1,2,3 are equal to 4,5,6 respectively \\r\\n\\t\\t because input1 and input2 are both 1) */\\r\\n\\t\\tdeltaIH1 = deltaSum / HO1 * sigmoidPrime(weightedSum1);\\r\\n\\t\\tdeltaIH2 = deltaSum / HO2 * sigmoidPrime(weightedSum2);\\r\\n\\t\\tdeltaIH3 = deltaSum / HO3 * sigmoidPrime(weightedSum3);\\r\\n\\t\\tdeltaIH4 = deltaSum / HO1 * sigmoidPrime(weightedSum1);\\r\\n\\t\\tdeltaIH5 = deltaSum / HO2 * sigmoidPrime(weightedSum2);\\r\\n\\t\\tdeltaIH6 = deltaSum / HO3 * sigmoidPrime(weightedSum3);\\r\\n\\t\\t\\r\\n\\t\\t// deltaHOWeights\\r\\n\\t\\tdeltaHO1 = deltaSum / hiddenOutput1;\\r\\n\\t\\tdeltaHO2 = deltaSum / hiddenOutput2;\\r\\n\\t\\tdeltaHO3 = deltaSum / hiddenOutput3;\\r\\n\\t\\t\\r\\n\\t\\t// Modifying Old Weights \\r\\n\\t\\t\\r\\n\\t\\t// modifying IH weights\\r\\n\\t\\tIH1 += deltaIH1;\\r\\n\\t\\tIH2 += deltaIH2;\\r\\n\\t\\tIH3 += deltaIH3;\\r\\n\\t\\tIH4 += deltaIH4;\\r\\n\\t\\tIH5 += deltaIH5;\\r\\n\\t\\tIH6 += deltaIH6;\\r\\n\\t\\t\\r\\n\\t\\t// modifying HO weights\\r\\n\\t\\tHO1 += deltaHO1;\\r\\n\\t\\tHO2 += deltaHO2;\\r\\n\\t\\tHO3 += deltaHO3;\\r\\n\\t\\t\\r\\n\\t\\t}\\r\\n\\t}\",\n \"private void trainOnSamples() {\\n for (Sample sample : samples) {\\n double sum = 0;\\n \\n for (int i = 0; i < weights.length; i++) { //calculating w1.x1 + w2.x2 + ... \\n sum += weights[i] * sample.getP()[i];\\n }\\n sum += bias; //adding bias to the sum\\n\\n if (!compareOutput(sum, sample)) { //compare network & target output\\n //updating the weights\\n for (int i = 0; i < weights.length; i++) {\\n weights[i] += sample.getTarget() * sample.getP()[i];\\n }\\n //updating the bias\\n bias += sample.getTarget();\\n sample.setValidation(false);\\n } else {\\n sample.setValidation(true);\\n }\\n }\\n }\",\n \"private void backwardCalculation(double[] trainingOutput) {\\n\\t\\tfor (int i = 0; i < numberOfOutputs; i++) {\\n\\t\\t\\terrorOutput[i] = output[i] * (1 - output[i]) * (trainingOutput[i] - output[i]);\\n\\t\\t}\\n\\n\\t\\t// computer error at every hidden node\\n\\t\\tfor (int i = 0; i < numberOfMiddle; i++) {\\n\\t\\t\\tdouble sum = 0;\\n\\n\\t\\t\\tfor (int j = 0; j < numberOfOutputs; j++) {\\n\\t\\t\\t\\tsum += matrixOutput[i][j] * errorOutput[j];\\n\\t\\t\\t}\\n\\n\\t\\t\\terrorMiddle[i] = middle[i] * (1 - middle[i]) * sum;\\n\\t\\t}\\n\\n\\t\\t// update weights between hidden and output nodes\\n\\t\\tfor (int i = 0; i < numberOfMiddle; i++) {\\n\\t\\t\\tfor (int j = 0; j < numberOfOutputs; j++) {\\n\\t\\t\\t\\tmatrixOutput[i][j] += rate * middle[i] * errorOutput[j];\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// update weights between input and hidden nodes\\n\\t\\tfor (int i = 0; i < numberOfInputs; i++) {\\n\\t\\t\\tfor (int j = 0; j < numberOfMiddle; j++) {\\n\\t\\t\\t\\tmatrixMiddle[i][j] += rate * input[i] * errorMiddle[j];\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// update thetas at output nodes\\n\\t\\tfor (int i = 0; i < numberOfOutputs; i++) {\\n\\t\\t\\tthetaOutput[i] += rate * errorOutput[i];\\n\\t\\t}\\n\\n\\t\\t// update thetas at hidden nodes\\n\\t\\tfor (int i = 0; i < numberOfMiddle; i++) {\\n\\t\\t\\tthetaMiddle[i] += rate * errorMiddle[i];\\n\\t\\t}\\n\\t}\",\n \"public void trainWeights(int numEpochs, int player, int winner) {\\n // Will be using the boardStates member which has already encoded the\\n // boards on the path to the endgame.\\n // The board states must now be fit to a reinforcement learning curve.\\n double[][] trainingOutput = new double[stateCount][1]; // this is the total output (useful if using an ANN).\\n double nn_i_succ = 0.0;\\n double nn_i = 0.0;\\n\\n //REALLY IMPORTANT: Training is from the perspective of the black player, so if black lost, training will\\n //use negative values. If black won, it will be trained with positive values. This must be kept in mind\\n //when querying the features for values!\\n\\n //every other value depends on this one.\\n for (int i=stateCount-1; i>=0; i--) {\\n //for convenience get the value of the nn at boardStates[i] and boardStates[i+1]\\n if (i == stateCount-1) {\\n if (winner == LOABoard.PLAYER_BLACK)\\n nn_i_succ = 1;\\n else if (winner == LOABoard.PLAYER_WHITE)\\n nn_i_succ = -1;\\n else // Draw\\n nn_i_succ = 0;\\n } else {\\n nn_i_succ = DISCOUNT_FACTOR * nn_i;\\n }\\n\\n nn_i = 0;\\n for ( int j = 0; j < numberOfWeights; j++ )\\n nn_i += boardStates[i][j] * weights[j];\\n\\n trainingOutput[i][0] = nn_i + LEARNING_RATE*(nn_i_succ-nn_i);\\n\\n for (int j=0; j< numberOfWeights; j++) {//each epoch involves training on every board state in the game\\n weights[j] = weights[j] + LEARNING_RATE*(nn_i_succ-nn_i)*boardStates[i][j];\\n }//for j\\n }//for i\\n\\n ////begin debug\\n//\\t System.out.println(\\\"Debug Message: Displaying array trainingOutput (after fit to TD learning curve) \\\" + stateCount);\\n//\\t for (int debug =0; debug < trainingOutput.length; debug++) {\\n//\\t\\tSystem.out.println(trainingOutput[debug][0]);\\n// }\\n ////done debug\\n\\n System.out.println(\\\"Debug Message: Displaying weights array after update.\\\");\\n for (int i = 0; i < numberOfWeights; i++) {\\n System.out.println(weights[i]);\\n }\\n\\n System.out.println(\\\"Info Message: Done training weights on results from game.\\\");\\n }\",\n \"public ArrayList<Double> calculateForward(ArrayList<Example> data) {\\n\\t\\t// store outputs from hidden layer for each example\\n\\t\\t// array will have size # examples.\\n\\t\\tArrayList<Double> nodeOutputs = new ArrayList<Double>();\\n\\n\\t\\t// randomly shuffle training data\\n\\t\\tCollections.shuffle(data);\\n\\n\\t\\t// go through each example and calculate forwards\\n\\t\\tfor (Example ex : data) {\\n\\t\\t\\t// get associated weight in hiddenWeights & calculate dot product,\\n\\t\\t\\t// run through tanh function\\n\\t\\t\\tdouble bias = ex.getFeature(ex.getFeatureSet().size() - 1);\\n\\t\\t\\tArrayList<Double> thisNodeOutputs = new ArrayList<Double>();\\n\\t\\t\\t// loop through features, and the weight vector for each feature\\n\\t\\t\\tfor (int n = 0; n < numHidden; n++) {\\n\\t\\t\\t\\tdouble thisNode = 0.0; // get dot product of f & h for each node\\n\\t\\t\\t\\tArrayList<Double> weightVec = hiddenWeights.get(n);\\n\\t\\t\\t\\tSet<Integer> features = ex.getFeatureSet();\\n\\t\\t\\t\\tIterator<Integer> iter = features.iterator();\\n\\t\\t\\t\\tfor (int i = 0; i < features.size(); i++) {\\n\\t\\t\\t\\t\\tdouble featureVal = ex.getFeature(iter.next());\\n\\t\\t\\t\\t\\tdouble weight = weightVec.get(i);\\n\\t\\t\\t\\t\\tthisNode += weight * featureVal;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tthisNodeOutputs.add(Math.tanh(thisNode * bias));\\n\\t\\t\\t}\\n\\t\\t\\thiddenOutputs.add(thisNodeOutputs);\\n\\t\\t\\t// now do same for output layer\\n\\t\\t\\tdouble outSum = 0.0;\\n\\t\\t\\tfor (int i = 0; i < numHidden; i++) {\\n\\t\\t\\t\\tdouble w = layerTwoWeights.get(i);\\n\\t\\t\\t\\tdouble output = thisNodeOutputs.get(i);\\n\\t\\t\\t\\toutSum += w * output;\\n\\t\\t\\t}\\n\\t\\t\\tnodeOutputs.add(Math.tanh(outSum * bias));\\n\\t\\t}\\n\\t\\treturn nodeOutputs;\\n\\t}\",\n \"@Override\\n public int[] run(double[][] examples)\\n {\\n //System.out.println(\\\"Starting backprop\\\");\\n if(verbose)\\n {\\n System.out.println(\\\"---------------------Begin Competitive Learning---------------------\\\");\\n }\\n maxClusters = (int)Math.round(parameters[2]);\\n FeedForwardNeuralNetwork net = new FeedForwardNeuralNetwork(0,\\n new int[]{examples[0].length, maxClusters}, ActivationFunction.LINEAR,\\n ActivationFunction.LINEAR);\\n lastDeltas = new double[net.getWeights().length];\\n learningRate = parameters[0];\\n momentum = parameters[1];\\n maxIterations = parameters[3];\\n\\n int[] sizes = net.getSizes();\\n\\n int[] last = calculateWinners(examples, net);\\n\\n if(verbose)\\n {\\n System.out.println(\\\"Initial weights\\\");\\n double[] weights = net.getWeights();\\n for(int k = 0; k < weights.length; k++)\\n {\\n System.out.print(weights[k] + \\\", \\\");\\n }\\n System.out.println(\\\"Initial labels\\\");\\n for(int k = 0; k < maxClusters; k++)\\n {\\n System.out.print(\\\"Cluster \\\" + k + \\\": \\\");\\n for(int a = 0; a < last.length; a++)\\n {\\n if(last[a] == k)\\n {\\n System.out.print(a + \\\", \\\");\\n }\\n }\\n System.out.println();\\n }\\n System.out.println();\\n }\\n\\n int index = 0;\\n for(int i = 1; i < maxIterations; i++)\\n {\\n double[] input = new double[sizes[0]];\\n\\n //separate input and output\\n for(int a = 0; a < input.length; a++)\\n {\\n input[a] = examples[index][a];\\n }\\n index = (index + 1) % examples.length;\\n\\n //run backprop on it\\n if(i % 1000 == 0 && verbose)\\n {\\n System.out.println(\\\"Iteration: \\\" + i);\\n }\\n if(verbose)\\n {\\n backprop(input, net, i % 1000 == 0);\\n }\\n else\\n {\\n backprop(input, net, false);\\n }\\n\\n if(i % 1000 == 0)\\n {\\n int[] temp = calculateWinners(examples, net);\\n if(verbose)\\n {\\n //System.out.println(\\\"Iteration: \\\" + i);\\n /*System.out.println(\\\"Current labels\\\");\\n for(int k = 0; k < last.length; k++)\\n {\\n System.out.println(k + \\\": \\\" + temp[k]);\\n }\\n System.out.println();*/\\n }\\n boolean same = true;\\n for(int j = 0; j < temp.length; j++)\\n {\\n if(last != temp)\\n {\\n same = false;\\n break;\\n }\\n }\\n\\n if(same)\\n {\\n if(verbose)\\n {\\n System.out.println(\\\"Final weights\\\");\\n double[] weights = net.getWeights();\\n for(int k = 0; k < weights.length; k++)\\n {\\n System.out.print(weights[k] + \\\", \\\");\\n }\\n System.out.println(\\\"Final labels\\\");\\n for(int k = 0; k < maxClusters; k++)\\n {\\n System.out.print(\\\"Cluster \\\" + k + \\\": \\\");\\n for(int a = 0; a < last.length; a++)\\n {\\n if(last[a] == k)\\n {\\n System.out.print(a + \\\", \\\");\\n }\\n }\\n System.out.println();\\n }\\n System.out.println();\\n System.out.println(\\\"----------------------End Competitive Learning----------------------\\\");\\n }\\n return temp;\\n }\\n else\\n {\\n last = temp;\\n }\\n }\\n }\\n if(verbose)\\n {\\n System.out.println(\\\"Final weights\\\");\\n double[] weights = net.getWeights();\\n for(int k = 0; k < weights.length; k++)\\n {\\n System.out.print(weights[k] + \\\", \\\");\\n }\\n System.out.println(\\\"Final labels\\\");\\n for(int k = 0; k < maxClusters; k++)\\n {\\n System.out.print(\\\"Cluster \\\" + k + \\\": \\\");\\n for(int a = 0; a < last.length; a++)\\n {\\n if(last[a] == k)\\n {\\n System.out.print(a + \\\", \\\");\\n }\\n }\\n System.out.println();\\n }\\n System.out.println();\\n System.out.println(\\\"----------------------End Competitive Learning----------------------\\\");\\n }\\n\\n return calculateWinners(examples, net);\\n }\",\n \"public void train(){\\r\\n\\t\\tdouble output = 0.0;\\r\\n\\t\\tList<Integer> teacher = null;\\r\\n\\t\\tdouble adjustedWeight = 0.0;\\r\\n\\t\\tdouble error = 0.0;\\r\\n\\t\\tdouble deltaK = 0.0;\\r\\n\\r\\n\\t\\tfor(int counter = 0; counter < maxEpoch; counter++){\\r\\n\\t\\t\\tfor(Instance inst : trainingSet){\\r\\n\\t\\t\\t\\tcalculateOutputForInstance(inst);\\r\\n\\t\\t\\t\\tteacher = inst.classValues;\\r\\n\\t\\t\\t\\t//jk weight\\r\\n\\t\\t\\t\\tfor(int i = 0; i < outputNodes.size(); i++){\\r\\n\\t\\t\\t\\t\\tNode kNode = outputNodes.get(i);\\r\\n\\t\\t\\t\\t\\toutput = kNode.getOutput();\\r\\n\\t\\t\\t\\t\\terror = teacher.get(i) - output;\\r\\n\\t\\t\\t\\t\\tdeltaK = error*getReLU(kNode.getSum());\\r\\n\\t\\t\\t\\t\\tfor(int j = 0; j < kNode.parents.size(); j++){\\r\\n\\t\\t\\t\\t\\t\\tNodeWeightPair jkWeight = kNode.parents.get(j);\\r\\n\\t\\t\\t\\t\\t\\tNode jNode = jkWeight.node;\\r\\n\\t\\t\\t\\t\\t\\tadjustedWeight = getJK(jNode, deltaK);\\r\\n\\t\\t\\t\\t\\t\\tjkWeight.weight += adjustedWeight;\\r\\n\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t//ij weight\\r\\n\\t\\t\\t\\tfor(int i = 0; i < hiddenNodes.size(); i++){\\r\\n\\t\\t\\t\\t\\tNode jNode = hiddenNodes.get(i);\\r\\n\\t\\t\\t\\t\\tif(jNode.parents == null) continue;\\r\\n\\t\\t\\t\\t\\tfor(int j = 0; j < jNode.parents.size(); j++){\\r\\n\\t\\t\\t\\t\\t\\tNodeWeightPair ijWeight = jNode.parents.get(j);\\r\\n\\t\\t\\t\\t\\t\\tNode iNode = ijWeight.node;\\r\\n\\t\\t\\t\\t\\t\\tadjustedWeight = getIJ(iNode, jNode, teacher, i);\\r\\n\\t\\t\\t\\t\\t\\tijWeight.weight += adjustedWeight;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public void calculate() {\\r\\n\\t\\tint bias = hasBias();\\r\\n\\r\\n\\t\\tfor(int i = bias; i < getNeurons().size(); i++) {\\r\\n\\t\\t\\tgetNeurons().get(i).activate(); \\r\\n\\t\\t}\\r\\n\\t}\",\n \"public NeuralNetworkForwardPropagation() {\\n super(\\\"Neural-network forward-propagation\\\");\\n }\",\n \"void backpropagate(float[] inputs, float... targets);\",\n \"public static Double[] learnSimplePerceptronRound2(Data data1[],int index,double LearningRate,Double w[],HashMap<Integer, Integer> words)\\r\\n \\t{\\r\\n \\t\\t//Double w[] = new Double[20]; \\r\\n \\t/*\\tDouble min =-0.01; // Set To Your Desired Min Value\\r\\n\\t Double max = 0.01;\\r\\n \\t\\tdouble smallRandNumber = min + new Random().nextDouble() * (max - min); \\r\\n \\t\\tArrays.fill(w, smallRandNumber);*/\\r\\n \\t\\t\\r\\n \\t\\tData data[] = Arrays.copyOf(data1,index);\\r\\n \\t\\t\\r\\n \\t\\t//shuffle the data..\\r\\n \\t \\tArrayList<Data> arrayList = new ArrayList<Data>(Arrays.asList(Arrays.copyOf(data,index))); \\r\\n \\t\\tCollections.shuffle(arrayList,new Random(10));\\r\\n \\t\\tdata = arrayList.toArray(new Data[arrayList.size()]);\\r\\n \\t\\tfor(int i=0;i<index;i++)\\r\\n \\t\\t{\\r\\n \\t\\t\\tdouble trueLabel;\\r\\n \\t\\t\\tdouble predictedLabel;\\r\\n \\t\\t\\tdouble dotProduct_wT_x = 0.0f;\\r\\n \\t\\t\\tHashMap<Integer, Double> x = new HashMap<Integer, Double>();\\r\\n \\t\\t \\r\\n \\t\\t\\ttrueLabel = data[i].getY();\\r\\n \\t\\t\\tx= data[i].getX();\\r\\n \\t\\t\\tboolean correct=false;\\r\\n \\t\\t\\t// loop till its corrects..\\r\\n \\t\\t\\t\\r\\n \\t\\t\\twhile(correct==false)\\r\\n \\t\\t\\t{\\r\\n \\t\\t\\t//wT*x (contains bias)\\r\\n \\t\\t\\tfor (Map.Entry<Integer, Double> entry : x.entrySet()) {\\r\\n \\t\\t\\t\\tdotProduct_wT_x = dotProduct_wT_x + w[entry.getKey()] * entry.getValue();\\r\\n \\t\\t\\t}\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t//predict the label\\r\\n \\t\\t\\tif(dotProduct_wT_x < 0)\\r\\n \\t\\t\\t\\tpredictedLabel = -1;\\r\\n \\t\\t\\telse\\t\\r\\n \\t\\t\\t\\tpredictedLabel = +1;\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t//check if prediction is correct, if not update the weight vector and bias.\\r\\n \\t\\t\\tif(predictedLabel != trueLabel)\\r\\n \\t\\t//\\tif(dotProduct_wT_x<0)\\r\\n \\t\\t\\t{\\r\\n \\t\\t\\t\\t//update bias\\r\\n \\t\\t\\t\\tw[0]=w[0]+trueLabel*LearningRate;\\r\\n \\t\\t\\t\\t\\r\\n \\t\\t\\t\\t//update all other weights only if those words are worthy tracking\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t\\tfor(int j=1;j<w.length;j++)\\r\\n \\t\\t\\t\\t{\\r\\n \\t\\t\\t\\t\\t// if(x.containsKey(j))\\r\\n \\t\\t\\t\\t if(x.containsKey(j))\\r\\n \\t\\t\\t\\t//\\t if(words.containsKey(j)) //give more weightage to words that matter\\r\\n \\t\\t\\t//\\t\\t\\t\\tw[j]=w[j]+LearningRate*trueLabel*(x.get(j));\\r\\n \\t\\t\\t\\t//\\t else\\r\\n\\t\\t\\t\\t\\t\\t\\tw[j]=w[j]+LearningRate*trueLabel*x.get(j);\\r\\n\\r\\n \\t\\t\\t\\t//\\telse\\r\\n \\t\\t\\t//\\t\\t\\tw[j]=(double)0;\\r\\n \\t\\t\\t\\t}\\r\\n \\t\\t\\t}\\r\\n \\t\\t\\telse\\r\\n \\t\\t\\t\\tcorrect=true;\\r\\n \\t\\t }\\r\\n \\t\\t}\\r\\n \\t\\treturn w;\\r\\n \\t}\",\n \"public void train(int iterations) {\\n\\t\\tNeuron n = new NeuronSigmoid();\\n\\t\\t\\n\\t\\tfor (int i = 0; i < iterations; i++) {\\n\\t\\t\\tSystem.out.print(\\\"Epoch: \\\" +(i+1));\\n\\t\\t\\tdouble[][] localOutput = n.think(this.input,this.weights);\\n\\n\\t\\t\\tdouble[][] error = Matrix2d.subtract(output, localOutput);\\n\\t\\t\\tSystem.out.print(\\\" Error: \\\"+calcOverallError(error));\\n\\t\\t\\tdouble[][] sigDeriv = Matrix2d.sigmoidDerivative(localOutput);\\n\\t\\t\\tdouble[][] prod = Matrix2d.multiply(error, sigDeriv);\\n\\t\\t\\tdouble[][] transInput = Matrix2d.transposeMatrix(input);\\n\\t\\t\\tdouble[][] adjustment = Matrix2d.dot(transInput, prod);\\n\\n\\t\\t\\tweights = Matrix2d.add(adjustment, weights);\\n\\t\\t\\tSystem.out.println(\\\"\\\");\\n\\t\\t}\\n\\t}\",\n \"public static void runDecayingRatePerceptron(Data[] data, int index,String testFileName,HashMap<Integer,Integer> words)\\r\\n{\\r\\nint t=0;\\r\\ndouble LearningRates[] = {1, 0.1, 0.01};\\r\\n\\tint minInt =0; // Set To Your Desired Min Value\\r\\n int maxInt =2;\\r\\n\\tRandom rand = new Random();\\r\\n\\t\\r\\n\\tint randomNum = rand.nextInt((maxInt - minInt) + 1) + minInt;\\r\\n\\r\\n\\tdouble LearningRate = LearningRates[randomNum];\\r\\n\\t\\r\\n\\t\\r\\nfor(int i=0;i<LearningRates.length;i++)\\r\\n{\\r\\nLearningRate = LearningRates[i];\\r\\ndouble devAccuracyTotal = (double)0;\\r\\nint noOfEpochs= 20;\\r\\nint decreaseRate = 0;\\r\\n\\r\\n\\tDouble w[] = new Double[74500];\\r\\n\\tDouble min =-0.01; // Set To Your Desired Min Value\\r\\nDouble max = 0.01;\\r\\n\\t\\tdouble smallRandNumber = min + new Random().nextDouble() * (max - min); \\r\\n\\t\\tArrays.fill(w, smallRandNumber);\\r\\n\\t\\t\\r\\nfor(int epoch=0;epoch<noOfEpochs;epoch++)\\r\\n{\\r\\n\\t \\tw = learnDecayingPerceptron(data,index,LearningRate,decreaseRate,w);\\r\\n\\t \\tdecreaseRate = decreaseRate + index;\\r\\n\\r\\n}\\r\\n// \\tfor(int i=0;i<w.length;i++)\\r\\n// \\t\\t\\tSystem.out.println(w[i]);\\r\\n//print data \\t\\r\\n// \\tfor (Map.Entry<Integer, Double> entry : x.entrySet()) {\\r\\n// System.out.println(\\\"\\\"+entry.getKey() + \\\" \\\" + entry.getValue());\\r\\n//\\t \\t}\\r\\n \\t \\t\\r\\n\\t//keep decreaseRate increasing across epochs, by increasing 1 for each example.\\r\\n\\tdouble cvAccuracy = testTestFile(w,testFileName,words);\\r\\n\\t\\r\\n//\\tSystem.out.println(\\\"Epoch\\\" + epoch +\\\" Dev Accuracy for Decaying Learning Rate \\\" + LearningRate + \\\" is \\\" + cvAccuracy);\\r\\n\\r\\n\\r\\nSystem.out.println(\\\" ** Cv Accuracy for Decaying Learning Rate \\\" + LearningRate + \\\" is \\\" + cvAccuracy);\\r\\nSystem.out.println(\\\" \\\");\\r\\n}\\r\\n\\r\\n//double testAccuracy = testTestFile(w,testFileName);\\r\\n\\t//System.out.println(\\\"test Accuracy\\\" + testAccuracy);\\r\\n}\",\n \"void BP(Double learningRate){ //call BP() on each neuron except Bias Neuron\\n for (int i = 0; i < neurons.size() -1; i++){\\n neurons.get(i).BP(learningRate);\\n }\\n }\",\n \"@Procedure(value = \\\"mlp.train\\\", mode = WRITE)\\n @Description(\\\"Backward pass through NN\\\")\\n public void train(@Name(value = \\\"no. of passes\\\") long nPasses) {\\n\\n DataLogger logger = new DataLogger(\\\"proto1\\\", \\\"error\\\");\\n\\n for (int i = 0; i < nPasses; i++) {\\n updateTrainRate(i + 1);\\n forwardPass();\\n\\n double error = calculateError();\\n\\n double reward = 1.0 - error;\\n\\n// if (Math.random() > 0.9) reward = error;\\n\\n backwardPass(reward);\\n moveNext();\\n\\n\\n// System.out.println(String.format(\\\"Error: %f\\\", error));\\n// if (i % 100 == 0 && i > 0) {\\n// double meanError = errors.stream().reduce(0.0, Double::sum) / 100;\\n// System.out.println(String.format(\\n// \\\"Mean error: %f, eta: %f\\\", meanError, eta));\\n// errors.clear();\\n// }\\n// errors.add(error);\\n logger.append(error);\\n\\n\\n }\\n\\n forwardPass();\\n logger.close();\\n }\",\n \"@Override\\n\\tvoid bp_adam(double learning_rate, int epoch_num) {\\n\\t\\t\\n\\t}\",\n \"public void testLBFGS() throws Exception {\\n\\t\\tList<? extends TrainingSequence<?>> data = IntInput.prepareData(\\\"001111\\\\n001111\\\\n001111\\\\n001111\\\\n001111\\\\n001111\\\\n001111\\\\n001111\\\\n\\\");\\n\\t\\tModelManager m = new TestFeatureManager(1);\\n\\n\\t\\tStandardOptimizer opt = new StandardOptimizer();\\n\\t\\topt.setStarts(new double[] {0.1});\\n\\t\\topt.setEpsForConvergence(0.001);\\n\\t\\topt.setObjectiveFunction(new MaximumLikelihoodGradient());\\n\\t\\tdouble[] weights = opt.optimize(m, data);\\n\\t\\tassertEquals(2.0, weights[0], 0.01);\\n\\t}\",\n \"private double[][] forwardPropogate(double[][] inputs, double[][] weights) {\\n\\t\\tdouble[][] resultLayer = m.dot(inputs, weights);\\n\\t\\tsigmoid(resultLayer);\\n\\t\\treturn resultLayer;\\n\\t}\",\n \"@Override\\n public void backward() {\\n Tensor x = modInX.getOutput();\\n Tensor tmp = new Tensor(yAdj); // copy\\n tmp.elemDivide(x);\\n modInX.getOutputAdj().elemAdd(tmp);\\n }\",\n \"public void calculateGradients(int dataIndex, double learningRate){\\r\\n for (int i = 0; i < outputLayer.length; i++) {\\r\\n for (int j = 0; j < outputLayer[i].weights.length; j++) {\\r\\n outputLayer[i].dw[j] = -2*((attribute[dataIndex] == i ? 1 : 0) - sigmoid(outputLayer[i].z))*sigmoidDeri(outputLayer[i].z)*outputLayer[i].data[j];\\r\\n }\\r\\n outputLayer[i].db = -2*((attribute[dataIndex] == i ? 1 : 0) - sigmoid(outputLayer[i].z))*sigmoidDeri(outputLayer[i].z);\\r\\n }\\r\\n\\r\\n adjust(learningRate, true);\\r\\n calculateDesireHiddenLayerActivation(dataIndex);\\r\\n\\r\\n for (int i = 0; i < hiddenLayer.length; i++) {\\r\\n for (int j = 0; j < hiddenLayer[i].weights.length; j++) {\\r\\n hiddenLayer[i].dw[j] = -2*(desireHiddenLayerActivation[i] - hiddenLayer[i].a)*sigmoidDeri(hiddenLayer[i].z)*hiddenLayer[i].data[j];\\r\\n }\\r\\n hiddenLayer[i].db = -2*(desireHiddenLayerActivation[i] - hiddenLayer[i].a)*sigmoidDeri(hiddenLayer[i].z);\\r\\n }\\r\\n\\r\\n adjust(learningRate, false);\\r\\n }\",\n \"public void train(double learningR, int index, int i){\\n\\t\\t \\n\\t\\tdouble output = outputL.getIntermediateData(i)[index];\\n\\t\\terrorGradient = output *(1-output) * outputL.getErrorGradient() * outputL.getWeights()[index];\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t\\n\\t\\tfor (int j = 0; j < inputs; j++) {\\n\\t\\t\\tweights[j] += delta(learningR, data[i][j], errorGradient);\\n\\t\\t}\\n\\t\\t\\t\\n\\t\\tthreshold += delta(learningR, -1, errorGradient);\\n\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t}\",\n \"private static boolean bayesian() {\\n\\t\\tSystem.out.println(\\\"BAYESIAN\\\");\\n\\t\\t\\n//\\t\\tFFNeuralNetwork ffnn = new FFNeuralNetwork(ActivationFunction.SIGMOID0p5,5,5);\\n\\t\\tModelLearner modeler = new ModelLearnerHeavy(100, new int[] {}, new int[] {5},\\n\\t\\t\\t\\tnew int[] {}, ActivationFunction.SIGMOID0p5, 10);\\n\\t\\t\\n\\t\\tCollection<DataPoint> data = new ArrayList<DataPoint>();\\n\\t\\tdata.add(new DataPoint(new double[] {0,0,1,0,0}, new double[] {0,0,0,1,0})); // move right\\n\\t\\tdata.add(new DataPoint(new double[] {0,0,1,0,0}, new double[] {0,1,0,0,0})); // move left\\n\\t\\tdata.add(new DataPoint(new double[] {0,1,0,0,0}, new double[] {1,0,0,0,0})); // move left again\\n\\t\\tdata.add(new DataPoint(new double[] {0,0,0,1,0}, new double[] {0,0,1,0,0})); // move back to center\\n\\t\\tdata.add(new DataPoint(new double[] {0,0,0,1,0}, new double[] {0,0,0,0,0})); // disappear\\n\\t\\t\\n//\\t\\tControlPanel.learnFromBackPropagation(ffnn.getInputNodes(), ffnn.getOutputNodes(), data,\\n//\\t\\t\\t\\t10000, 1,1,0,0,0,0);\\n\\t\\tfor (DataPoint dp : data) {\\n\\t\\t\\tmodeler.observePreState(dp.getInput());\\n\\t\\t\\tmodeler.observePostState(dp.getOutput());\\n\\t\\t\\tmodeler.saveMemory();\\n\\t\\t}\\n\\t\\tmodeler.learnFromMemory(1.5,0.5,0, false, 1000);\\n\\t\\tmodeler.getTransitionsModule().getNeuralNetwork().report(data);\\n\\t\\t\\n\\t\\tdouble[] foresight = Foresight.montecarlo(modeler, new double[] {0,0,1,0,0}, null, null, 1, 10000, 10, 0.1);\\n\\t\\tfor (double d : foresight) System.out.print(d + \\\"\\t\\\");\\n\\t\\tSystem.out.println(near(foresight[0],0) && near(foresight[1],0.5) && near(foresight[2],0)\\n\\t\\t\\t\\t&& near(foresight[3],0.5) && near(foresight[4],0)\\n\\t\\t\\t\\t? \\\"montecarlo 1 ok\\\" : \\\"montecarlo 1 sucks\\\");\\n\\t\\tforesight = Foresight.montecarlo(modeler, new double[] {0,0,1,0,0}, null, null, 2, 10000, 10, 0.1);\\n\\t\\tfor (double d : foresight) System.out.print(d + \\\"\\t\\\");\\n\\t\\tSystem.out.println(near(foresight[0],0.5) && near(foresight[1],0) && near(foresight[2],0.25)\\n\\t\\t\\t\\t&& near(foresight[3],0) && near(foresight[4],0)\\n\\t\\t\\t\\t? \\\"montecarlo 2 ok\\\" : \\\"montecarlo 2 sucks\\\");\\n\\n\\t\\treturn false;\\n\\t}\",\n \"private double[] getNextLayer(double[] prevLayer, double[][] weights, double[] biases) {\\n double[] output = new double[weights.length];\\n for (int i = 0; i < output.length; i++) {\\n // Runs for each output node.\\n double outputI = 0.0;\\n for (int j = 0; j < weights[i].length; j++) {\\n // Runs for each input node connected to that output node.\\n outputI += weights[i][j] * prevLayer[j];\\n }\\n outputI += biases[i];\\n output[i] = sigmoid(outputI);\\n }\\n return output;\\n }\",\n \"NeuralNetwork mutate(float rate);\",\n \"public static Double[] learnSimplePerceptron(Data data1[],int index,double LearningRate,Double w[],HashMap<Integer, Integer> words)\\r\\n \\t{\\r\\n \\t\\t\\r\\n \\t\\tData data[] = Arrays.copyOf(data1,index);\\r\\n \\t\\t\\r\\n \\t\\t//shuffle the data..\\r\\n \\t \\tArrayList<Data> arrayList = new ArrayList<Data>(Arrays.asList(Arrays.copyOf(data,index))); \\r\\n \\t\\tCollections.shuffle(arrayList,new Random(10));\\r\\n \\t\\tdata = arrayList.toArray(new Data[arrayList.size()]);\\r\\n \\t\\tfor(int i=0;i<index;i++)\\r\\n \\t\\t{\\r\\n \\t\\t\\tdouble trueLabel;\\r\\n \\t\\t\\tdouble predictedLabel;\\r\\n \\t\\t\\tdouble dotProduct_wT_x = 0.0f;\\r\\n \\t\\t\\tHashMap<Integer, Double> x = new HashMap<Integer, Double>();\\r\\n \\t\\t \\r\\n \\t\\t\\ttrueLabel = data[i].getY();\\r\\n \\t\\t\\tx= data[i].getX();\\r\\n \\t\\t\\t \\r\\n \\t\\t\\t\\r\\n \\t\\t \\r\\n \\t\\t\\t//wT*x (contains bias)\\r\\n \\t\\t\\tfor (Map.Entry<Integer, Double> entry : x.entrySet()) {\\r\\n \\t\\t\\t\\tdotProduct_wT_x = dotProduct_wT_x + w[entry.getKey()] * entry.getValue();\\r\\n \\t\\t\\t}\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t//predict the label\\r\\n \\t\\t\\tif(dotProduct_wT_x < 0)\\r\\n \\t\\t\\t\\tpredictedLabel = -1;\\r\\n \\t\\t\\telse\\t\\r\\n \\t\\t\\t\\tpredictedLabel = +1;\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t//check if prediction is correct, if not update the weight vector and bias.\\r\\n \\t\\t\\tif(predictedLabel != trueLabel)\\r\\n \\t\\t//\\tif(dotProduct_wT_x<0)\\r\\n \\t\\t\\t{\\r\\n \\t\\t\\t\\t//update bias\\r\\n \\t\\t\\t\\tw[0]=w[0]+trueLabel*LearningRate;\\r\\n \\t\\t\\t\\t\\r\\n \\t\\t\\t\\t\\r\\n \\t\\t\\t\\t//update all other weights only if those words are worthy tracking\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t\\tfor(int j=1;j<w.length;j++)\\r\\n \\t\\t\\t\\t{\\r\\n \\t\\t\\t\\t\\t// if(x.containsKey(j))\\r\\n \\t\\t\\t\\t if(x.containsKey(j))\\r\\n \\t\\t\\t \\t//\\t if(words.containsKey(j)) //give more weightage to words that matter\\r\\n \\t\\t \\t\\t\\t \\tw[j]=w[j]+LearningRate*trueLabel*x.get(j);\\r\\n\\r\\n \\t\\t\\t\\t//\\telse\\r\\n \\t\\t\\t//\\t\\t\\tw[j]=(double)0;\\r\\n \\t\\t\\t\\t \\r\\n \\t\\t\\t\\r\\n \\t\\t\\t\\t \\r\\n \\t\\t\\t\\t}\\r\\n \\t\\t\\t}\\r\\n \\t\\t \\r\\n \\t\\t}\\r\\n \\t\\treturn w;\\r\\n \\t}\",\n \"private void train(float[] inputs, int desired) {\\r\\n int guess = feedforward(inputs);\\r\\n float error = desired - guess;\\r\\n for (int i = 0; i < weights.length; i++) {\\r\\n weights[i] += c * error * inputs[i];\\r\\n }\\r\\n }\",\n \"public void fit(double[][] data) {\\n double n = data.length;\\n\\n double sum1 = 0;\\n double sum2 = 0;\\n\\n // gradient descent\\n for (int i = 0; i < epochs; i++) {\\n\\n for (double[] d : data) {\\n double x = d[0];\\n double y = d[1];\\n double yPredicted = sigmoid((m * x) + b);\\n\\n sum1 += x * (y - yPredicted);\\n sum2 += y - yPredicted;\\n }\\n\\n // calculate the derivative\\n double dm = (-2/n) * sum1;\\n double db = (-2/n) * sum2;\\n\\n // update m and b\\n m = m - (learningRate * dm);\\n b = b - (learningRate * db);\\n }\\n\\n }\",\n \"private void trainPerceptron() {\\n\\t\\t// Creates a log of that contains the percentage each epoch got correct\\n\\t\\tint numWrong = images.size();\\n\\t\\tint numReps = 0;\\n\\n\\t\\t// Repeat the training process TIMES_TO_REPEAT number of times or until\\n\\t\\t// there are none wrong\\n\\t\\tfor (int repetition = 0; repetition < TIMES_TO_REPEAT && numWrong != 0; repetition++) {\\n\\t\\t\\tint numCorrect = 0;\\n\\n\\t\\t\\t// Iterate through each image in the set of image\\n\\t\\t\\tfor (PerceptronImage image : images) {\\n\\t\\t\\t\\tdouble netInput = 0;\\n\\n\\t\\t\\t\\t// Work out the net input by evaluating each feature on the\\n\\t\\t\\t\\t// image\\n\\t\\t\\t\\tfor (Feature feature : features) {\\n\\t\\t\\t\\t\\tnetInput += feature.evaluate(image) * feature.getWeight();\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// If the image is evaluated to be an X\\n\\t\\t\\t\\tif (netInput <= 0) {\\n\\t\\t\\t\\t\\t// If it actually is an X then record it\\n\\t\\t\\t\\t\\tif (image.isX()) {\\n\\t\\t\\t\\t\\t\\tnumCorrect++;\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\t// If it is not then re-weight features\\n\\t\\t\\t\\t\\t\\tfor (Feature feature : features) {\\n\\t\\t\\t\\t\\t\\t\\tdouble newWeight = feature.getWeight()\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t+ feature.evaluate(image) * learningRate;\\n\\t\\t\\t\\t\\t\\t\\tfeature.setWeight(newWeight);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t// If the image is evaluated to be not an X\\n\\t\\t\\t\\t\\t// If it actually not an X then record it\\n\\t\\t\\t\\t\\tif (!image.isX()) {\\n\\t\\t\\t\\t\\t\\tnumCorrect++;\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\t// If it is not then re-weight features\\n\\t\\t\\t\\t\\t\\tfor (Feature feature : features) {\\n\\t\\t\\t\\t\\t\\t\\tdouble newWeight = feature.getWeight()\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t- feature.evaluate(image) * learningRate;\\n\\t\\t\\t\\t\\t\\t\\tfeature.setWeight(newWeight);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Update the number of images wrong for this epoch\\n\\t\\t\\tnumWrong = images.size() - numCorrect;\\n\\n\\t\\t\\t// Modify the learning rate\\n\\t\\t\\tif (learningRate > LEARNING_RATE_MINIMUM) {\\n\\t\\t\\t\\tlearningRate *= LEARNING_RATE_MODIFIER;\\n\\t\\t\\t}\\n\\n\\t\\t\\tnumReps++;\\n\\t\\t}\\n\\n\\t\\ttry {\\n\\t\\t\\tPrintWriter writer = new PrintWriter(\\\"output.txt\\\");\\n\\t\\t\\t\\n\\t\\t\\t// Print out the number of repetitions if the perceptron converged,\\n\\t\\t\\t// otherwise print out the number of images that are still classified\\n\\t\\t\\t// incorrectly\\n\\t\\t\\tif (numWrong == 0) {\\n\\t\\t\\t\\twriter.println(\\\"Perceptron converged\\\");\\n\\t\\t\\t\\twriter.println(\\\"Number of repetitions: \\\" + numReps);\\n\\t\\t\\t\\tSystem.out.println(\\\"Perceptron converged\\\");\\n\\t\\t\\t\\tSystem.out.println(\\\"Number of repetitions: \\\" + numReps);\\n\\t\\t\\t} else {\\n\\t\\t\\t\\twriter.println(\\\"Perceptron did not converge\\\");\\n\\t\\t\\t\\twriter.println(\\\"Number of images still incorrect: \\\" + numWrong);\\n\\t\\t\\t\\tSystem.out.println(\\\"Perceptron did not converge\\\");\\n\\t\\t\\t\\tSystem.out.println(\\\"Number of images still incorrect: \\\" + numWrong);\\n\\t\\t\\t}\\n\\n\\t\\t\\twriter.println(\\\"\\\\nEnding learning Rate: \\\" + learningRate + \\\"\\\\n\\\");\\n\\t\\t\\tSystem.out.println(\\\"\\\\nEnding learning Rate: \\\" + learningRate + \\\"\\\\n\\\");\\n\\t\\t\\t\\n\\t\\t\\tfor (Feature feature : features){\\n\\t\\t\\t\\tSystem.out.println(feature.toString());\\n\\t\\t\\t\\twriter.println(feature.toString());\\n\\t\\t\\t}\\n\\t\\t\\twriter.close();\\n\\t\\t} catch (FileNotFoundException e) {\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t}\",\n \"public static void XOR() {\\n System.out.println(\\\"---\\\");\\n System.out.println(\\\"This section will create, and train a neural network with the topology of 2-2-1. That is\\\\n\\\" +\\n \\\"there are 2 input neurons, 2 hidden neurons, and 1 output neuron. The XOR problem will be using the\\\\n\\\" +\\n \\\"XOR_training_data.txt file to get the training data. In order to make training simpler, the 0's have\\\\n\\\" +\\n \\\"been substituted with -1's.\\\");\\n System.out.println(\\\"Training...\\\");\\n NeuralNetwork xor = (NeuralNetwork)StochasticBackPropagation.SBP(2, 2, 1, \\\"XOR_training_data.txt\\\", 20000, 0.1, 0.05);\\n System.out.println(\\\"Trained.\\\");\\n\\n double[] input = new double[2];\\n System.out.println(\\\"Input: -1 -1\\\");\\n input[0] = -1;\\n input[1] = -1;\\n double[] output = xor.feedForward(input);\\n System.out.println(\\\"Expected Output: -1\\\");\\n System.out.println(\\\"Actual Output: \\\"+Math.round(output[0])); //rounding to make output cleaner.\\n\\n System.out.println(\\\"Input: -1 1\\\");\\n input[0] = -1;\\n input[1] = 1;\\n output = xor.feedForward(input);\\n System.out.println(\\\"Expected Output: 1\\\");\\n System.out.println(\\\"Actual Output: \\\"+Math.round(output[0]));\\n\\n System.out.println(\\\"Input: 1 -1\\\");\\n input[0] = 1;\\n input[1] = -1;\\n output = xor.feedForward(input);\\n System.out.println(\\\"Expected Output: 1\\\");\\n System.out.println(\\\"Actual Output: \\\"+Math.round(output[0]));\\n\\n System.out.println(\\\"Input: 1 1\\\");\\n input[0] = 1;\\n input[1] = 1;\\n output = xor.feedForward(input);\\n System.out.println(\\\"Expected Output: -1\\\");\\n System.out.println(\\\"Actual Output: \\\"+Math.round(output[0]));\\n System.out.println(\\\"---\\\\n\\\");\\n }\",\n \"public void train() {\\n\\t\\tfor (int i = 0; i < numberOfIterations; i++) {\\n\\t\\t\\t// for each training record\\n\\t\\t\\tfor (int j = 0; j < numberOfRecords; j++) {\\n\\t\\t\\t\\t// calculate inputs and outputs\\n\\t\\t\\t\\tforwardCalculation(records.get(j).input);\\n\\t\\t\\t\\t// compute errors, update weights and thetas\\n\\t\\t\\t\\tbackwardCalculation(records.get(j).output);\\n\\t\\t\\t}\\n//\\t\\t\\tpostprocessOutputs();\\n\\t\\t}\\n\\t}\",\n \"@Override\\n\\tpublic void run() {\\n\\t\\ttotal = 0;\\n\\t\\tfor (Node n : inputs) {\\n\\t\\t\\ttotal += n.output * weights.get(n).getWeight();\\n\\t\\t}\\n\\t\\ttotal += bias * biasWeight.getWeight();\\n\\t\\toutput = activationFunction.run(total);\\n\\t}\",\n \"public static void main(String[] args) throws IOException {\\n Date date = Calendar.getInstance().getTime();\\n DateFormat dateFormat = new SimpleDateFormat(\\\"yyyy-MM-dd HH.mm.ss\\\");\\n String strDate = dateFormat.format(date);\\n String pathString = \\\"C:/Users/Akshay/Desktop/RL LUT Values/Neural Net Outputs/\\\"+strDate+\\\"/\\\";\\n File dir = new File(pathString);\\n dir.mkdirs();\\n\\n String pathStringWeights = pathString+\\\"Final Weights/\\\";\\n File dirWeights = new File(pathStringWeights);\\n dirWeights.mkdirs();\\n\\n\\n //Declare All Variables\\n double[][][][][][] LUT = new double[6][4][4][4][4][8];\\n\\n //Read Input LUT\\n String pathToLut = \\\"C:/Users/Akshay/Desktop/RL LUT Values/Battle 3.txt\\\";\\n loadLutToArray(LUT, pathToLut);\\n\\n //Initialize Neural Net\\n int numInputNeurons = 13; //5 State Variables and 8 for Action with 1 hot Encoding\\n int numHiddenNeurons = 20;\\n int numOutputNeurons = 1;\\n\\n double learningRate = 0.01;\\n double momentum = 0.5;\\n\\n double argA = 0;\\n double argB = 0;\\n\\n int t = 1;\\n String activation = \\\"\\\";\\n switch (t) {\\n case 1:\\n activation = \\\"Bipolar Sigmoid\\\";\\n break;\\n case 2:\\n activation = \\\"Tan Hyperbolic\\\";\\n break;\\n default:\\n activation = \\\"Sigmoid\\\";\\n }\\n\\n double E = 0;\\n\\n NeuralNet nn1 = new NeuralNet(numInputNeurons, numHiddenNeurons, numOutputNeurons, learningRate, momentum, argA, argB);\\n nn1.initWeights(-0.5, 0.5);\\n\\n //Track Epoch using k\\n int k = 0;\\n String s = \\\"Activation = \\\"+activation+\\\"\\\\nLearning Rate = \\\"+learningRate+\\\"\\\\nMomentum = \\\"+momentum+\\\"\\\\nHidden Neurons = \\\"+numHiddenNeurons;\\n\\n while(true){\\n k++;\\n\\n if(k>10000){\\n String identifier = k+\\\".\\\";\\n nn1.saveWeights(pathStringWeights,identifier);\\n break;\\n }\\n\\n //Start Loop Across LUT\\n for(int d = 0; d < 6; d++){\\n double di = absScale(d,0,5,-0.8,0.8);\\n for(int men = 0; men < 4; men++){\\n double meni = absScale(men,0,3,-0.8,0.8);\\n for(int een = 0; een < 4; een++){\\n double eeni = absScale(een,0,3,-0.8,0.8);\\n for(int ex = 0; ex < 4; ex++){\\n double exi = absScale(ex,0,3,-0.8,0.8);\\n for(int yi = 0; yi < 4; yi++){\\n double yii = absScale(yi,0,3,-0.8,0.8);\\n for(int act = 0; act < 8; act++){\\n //Each action needs to be 1 hot encoded\\n double x[] = new double[13];\\n switch(act){\\n case 0: x = new double[] {di,meni,eeni,exi,yii,0.8,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8};\\n break;\\n case 1: x = new double[] {di,meni,eeni,exi,yii,-0.8,0.8,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8};\\n break;\\n case 2: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,0.8,-0.8,-0.8,-0.8,-0.8,-0.8};\\n break;\\n case 3: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,-0.8,0.8,-0.8,-0.8,-0.8,-0.8};\\n break;\\n case 4: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,-0.8,-0.8,0.8,-0.8,-0.8,-0.8};\\n break;\\n case 5: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,-0.8,-0.8,-0.8,0.8,-0.8,-0.8};\\n break;\\n case 6: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8,0.8,-0.8};\\n break;\\n case 7: x = new double[] {di,meni,eeni,exi,yii,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8,-0.8,0.8};\\n break;\\n }\\n\\n //Defining Training Output For ErrorBackPropagation\\n double y[] = {absScale(LUT[d][men][een][ex][yi][act],-1000,1000,-0.8,0.8)};\\n\\n //Error Back Propagation\\n nn1.propagateForward(x,t);\\n nn1.propagateBackwardOutput(y,t);\\n nn1.weightUpdateOutput(learningRate,momentum);\\n nn1.propagateBackwardHidden(t);\\n nn1.weightUpdateHidden(learningRate,momentum,x);\\n\\n E = E + Math.pow((nn1.finalOutput[0] - y[0]),2);\\n }\\n }\\n }\\n }\\n }\\n }\\n //RMS Error This Time. Not Total Error\\n E = Math.sqrt(E/(12288));\\n //Perfect Condition Stuff\\n /*if(E<=0.05){\\n //System.out.println(\\\"Trial Number: \\\"+loop+\\\" Converged at Epoch \\\"+k);\\n String identifier = k+\\\".\\\";\\n nn1.saveWeights(pathStringWeights,identifier);\\n break;\\n }*/\\n\\n //End of Epoch Code Goes Here\\n String cmdOp = \\\"Epoch \\\"+k+\\\", Error = \\\"+E;\\n System.out.println(cmdOp);\\n\\n s = s + \\\"\\\\n\\\" + k + \\\" \\\" + E;\\n writeToFile(pathString+\\\"Stats.txt\\\",s);\\n E = 0;\\n }\\n }\",\n \"public void generatingNetwork(String path, int maxIterations, double learningRate, double maxError) {\\n neuroNetwork = new MultiLayerPerceptron(TransferFunctionType.SIGMOID, ENTRYNODES, INTERMEDIATENODES, OUTPUTNODES);\\n // create DataSet\\n dataset = DataSet.createFromFile(path, ENTRYNODES, OUTPUTNODES, \\\" \\\", true);\\n\\n //Normalizing data\\n MaxMinNormalizer normalizing = new MaxMinNormalizer();\\n normalizing.normalize(dataset);\\n\\n //Implementing Learning Rule\\n learningRule = new BackPropagation();\\n learningRule.setNeuralNetwork(neuroNetwork);\\n learningRule.setLearningRate(learningRate);\\n learningRule.setMaxError(maxError);\\n learningRule.setMaxIterations(maxIterations);\\n\\n SubSampling samples = new SubSampling(TRAINPERCENTAGE, 100 - TRAINPERCENTAGE);\\n List<DataSet> dataSets = samples.sample(dataset);\\n dataTraining = dataSets.get(0);\\n dataTest = dataSets.get(1);\\n\\n neuroNetwork.learn(dataTraining, learningRule);\\n String[] name = path.split(\\\"_\\\");\\n File finalFile = new File(\\\"Expressions\\\\\\\\Final_\\\" + name[1]);\\n this.Finalfile = finalFile;\\n if (!finalFile.exists()) {\\n try {\\n finalFile.createNewFile();\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n }\\n\\n int i = 0;\\n double error;\\n double diff = 0.0;\\n\\n FileOutputStream fos = null;\\n try {\\n fos = new FileOutputStream(finalFile, true);\\n } catch (FileNotFoundException e) {\\n e.printStackTrace();\\n }\\n BufferedWriter line = new BufferedWriter(new OutputStreamWriter(fos));\\n\\n for (DataSetRow dataRow : this.dataTraining.getRows()) {\\n neuroNetwork.setInput(dataRow.getInput());\\n neuroNetwork.calculate();\\n double[] networkOutput = neuroNetwork.getOutput();\\n double[] networkDesiredOutput = dataRow.getDesiredOutput();\\n diff += Math.pow(networkOutput[0] - networkDesiredOutput[0], 2);\\n\\n\\n i++;\\n }\\n error = diff / i;\\n try {\\n line.write(\\\"Train error: \\\" + error);\\n line.newLine();\\n line.close();\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n\\n\\n }\",\n \"public NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Double [][]hiddenWeights, Double[] outputWeights)\\r\\n\\t{\\r\\n\\t\\tthis.trainingSet=trainingSet;\\r\\n\\t\\tthis.learningRate=learningRate;\\r\\n\\t\\tthis.maxEpoch=maxEpoch;\\r\\n\\r\\n\\t\\t//input layer nodes\\r\\n\\t\\tinputNodes=new ArrayList<Node>();\\r\\n\\t\\tint inputNodeCount=trainingSet.get(0).attributes.size();\\r\\n\\t\\tint outputNodeCount=1;\\r\\n\\t\\tfor(int i=0;i<inputNodeCount;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNode node=new Node(0);\\r\\n\\t\\t\\tinputNodes.add(node);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//bias node from input layer to hidden\\r\\n\\t\\tNode biasToHidden=new Node(1);\\r\\n\\t\\tinputNodes.add(biasToHidden);\\r\\n\\r\\n\\t\\t//hidden layer nodes\\r\\n\\t\\thiddenNodes=new ArrayList<Node> ();\\r\\n\\t\\tfor(int i=0;i<hiddenNodeCount;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNode node=new Node(2);\\r\\n\\t\\t\\t//Connecting hidden layer nodes with input layer nodes\\r\\n\\t\\t\\tfor(int j=0;j<inputNodes.size();j++)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tNodeWeightPair nwp=new NodeWeightPair(inputNodes.get(j),hiddenWeights[i][j]);\\r\\n\\t\\t\\t\\tnode.parents.add(nwp);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\thiddenNodes.add(node);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//bias node from hidden layer to output\\r\\n\\t\\tNode biasToOutput=new Node(3);\\r\\n\\t\\thiddenNodes.add(biasToOutput);\\r\\n\\r\\n\\r\\n\\r\\n\\t\\tNode node=new Node(4);\\r\\n\\t\\t//Connecting output node with hidden layer nodes\\r\\n\\t\\tfor(int j=0;j<hiddenNodes.size();j++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNodeWeightPair nwp=new NodeWeightPair(hiddenNodes.get(j), outputWeights[j]);\\r\\n\\t\\t\\tnode.parents.add(nwp);\\r\\n\\t\\t}\\t\\r\\n\\t\\toutputNode = node;\\r\\n\\r\\n\\t}\",\n \"public double Learn()\\n\\t{\\n\\t\\t// initialize the data structures\\n\\t\\tInitialize();\\n\\t\\tfor(int iter = 0; iter < 1000; iter++)\\n\\t\\t\\tLearnFOnlyW();\\n\\t\\t\\n\\t\\tList<Double> lossHistory = new ArrayList<Double>();\\n\\t\\tlossHistory.add(Double.MIN_VALUE);\\n\\t\\t\\n\\t\\t// apply the stochastic gradient descent in a series of iterations\\n\\t\\tfor(int iter = 0; iter < maxIter; iter++)\\n\\t\\t{\\n\\t\\t\\t// learn the shapelets and the weights\\n\\t\\t\\tLearnF();\\n\\t\\t\\t\\n\\t\\t\\t// measure the loss\\n\\t\\t\\tif( iter % 500 == 0)\\n\\t\\t\\t{\\n\\t\\t\\t\\tdouble mcrTrain = GetMCRTrainSet();\\n\\t\\t\\t\\tdouble mcrTest = GetMCRTestSet();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tdouble lossTrain = AccuracyLossTrainSet();\\n\\t\\t\\t\\tdouble lossTest = AccuracyLossTestSet();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tlossHistory.add(lossTrain);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tLogging.println(\\\"It=\\\" + iter + \\\", lossTrain=\\\"+ lossTrain + \\\", lossTest=\\\"+ lossTest +\\n\\t\\t\\t\\t\\t\\t\\t\\t\\\", MCRTrain=\\\" +mcrTrain + \\\", MCRTest=\\\" +mcrTest , LogLevel.DEBUGGING_LOG);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif( Double.isNaN(lossTrain) )\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\titer = 0;\\n\\t\\t\\t\\t\\teta /= 3;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tInitialize();\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tLogging.println(\\\"Divergence detected. Restarting at eta=\\\" + eta, LogLevel.DEBUGGING_LOG);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t//eta *= 0.9;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\t// print shapelets for debugging purposes\\n\\t\\t//PrintShapelets();\\n\\t\\t\\n\\t\\t//Logging.print(M_i, System.out, LogLevel.DEBUGGING_LOG); \\n\\t\\t\\n\\t\\treturn GetMCRTestSet(); \\n\\t}\",\n \"public void Prediction() {\\n System.out.println(\\\"\\\\nInput an x value: \\\");\\n double x = inputs.nextDouble();\\n double y = this.B0 + (this.B1 * x);\\n System.out.println(\\\"The prediction made with \\\" + x + \\\" as the x value is: \\\" + y);\\n System.out.println(\\\"\\\\nWhere y = B0 + (B1*xi) is substituted by:\\\\n y = \\\" + B0 + \\\" + (\\\" + B1 + \\\" * \\\" + x + \\\" )\\\\n\\\");\\n }\",\n \"public void train() {\\r\\n // For each epoch, call setInputValue on input nodes\\r\\n for (int i = 0; i < maxEpoch; i++) {\\r\\n Collections.shuffle(trainingSet, random);\\r\\n\\r\\n // get each training instance\\r\\n for (int k = 0; k < trainingSet.size(); k++) {\\r\\n\\r\\n Instance instance = trainingSet.get(k);\\r\\n\\r\\n // set the input value in the input nodes from the training instance\\r\\n for (int j = 0; j < instance.attributes.size(); j++) {\\r\\n inputNodes.get(j).setInput(instance.attributes.get(j));\\r\\n }\\r\\n\\r\\n //set the target value in output nodes\\r\\n for (int j = 0; j < instance.classValues.size(); j++) {\\r\\n outputNodes.get(j).setTargetValue((double) instance.classValues.get(j));\\r\\n }\\r\\n\\r\\n // calculate values for hidden nodes\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n // for each hidden node\\r\\n Node hiddenNode = hiddenNodes.get(j);\\r\\n hiddenNode.calculateOutput();\\r\\n }\\r\\n\\r\\n //calculate values for output nodes\\r\\n double sumOfExponents = 0.0;\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n // for each output node\\r\\n Node outputNode = outputNodes.get(j);\\r\\n outputNode.calculateOutput();\\r\\n sumOfExponents += outputNode.getOutput();\\r\\n }\\r\\n\\r\\n //update output values of output nodes\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n outputNode.updateOutputValue(sumOfExponents);\\r\\n }\\r\\n\\r\\n // calculate delta values for output nodes\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n outputNode.calculateDelta();\\r\\n }\\r\\n\\r\\n // calculate delta values for hidden nodes\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n Node hiddenNode = hiddenNodes.get(j);\\r\\n hiddenNode.calculateDelta();\\r\\n hiddenNode.resetSumOfPartialDelta();\\r\\n }\\r\\n\\r\\n // update weights going from input layer to hidden layer\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n Node hiddenNode = hiddenNodes.get(j);\\r\\n hiddenNode.updateWeight(learningRate);\\r\\n }\\r\\n\\r\\n // update weights going from hidden layer to output layer\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n outputNode.updateWeight(learningRate);\\r\\n }\\r\\n\\r\\n /*if (k == 0 && i==0) {\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n for (NodeWeightPair pair : outputNode.parents) {\\r\\n System.out.println(pair.weight);\\r\\n }\\r\\n }\\r\\n }\\r\\n\\r\\n if (k == 0 && i == 0) {\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n Node hiddenNode = hiddenNodes.get(j);\\r\\n if (hiddenNode.parents != null) {\\r\\n for (NodeWeightPair pair : hiddenNode.parents) {\\r\\n System.out.println(pair.weight);\\r\\n }\\r\\n }\\r\\n }\\r\\n }*/\\r\\n }\\r\\n\\r\\n /* if (i==29) {\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n for (NodeWeightPair pair : outputNode.parents) {\\r\\n System.out.println(pair.weight);\\r\\n }\\r\\n }\\r\\n }*/\\r\\n\\r\\n double totalLoss = 0.0;\\r\\n // Calculate loss and sum for each training instance, and then take average\\r\\n for (int k = 0; k < trainingSet.size(); k++) {\\r\\n Instance instance = trainingSet.get(k);\\r\\n totalLoss += loss(instance);\\r\\n }\\r\\n totalLoss /= trainingSet.size();\\r\\n System.out.println(\\\"Epoch: \\\" + i + \\\", \\\" + \\\"Loss: \\\" + String.format(\\\"%.3e\\\", totalLoss));\\r\\n }\\r\\n }\",\n \"public NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Double [][]hiddenWeights, Double[][] outputWeights)\\r\\n\\t{\\r\\n\\t\\tthis.trainingSet=trainingSet;\\r\\n\\t\\tthis.learningRate=learningRate;\\r\\n\\t\\tthis.maxEpoch=maxEpoch;\\r\\n\\r\\n\\t\\t//input layer nodes\\r\\n\\t\\tinputNodes=new ArrayList<Node>();\\r\\n\\t\\tint inputNodeCount=trainingSet.get(0).attributes.size();\\r\\n\\t\\tint outputNodeCount=trainingSet.get(0).classValues.size();\\r\\n\\t\\tfor(int i=0;i<inputNodeCount;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNode node=new Node(0);\\r\\n\\t\\t\\tinputNodes.add(node);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//bias node from input layer to hidden\\r\\n\\t\\tNode biasToHidden=new Node(1);\\r\\n\\t\\tinputNodes.add(biasToHidden);\\r\\n\\r\\n\\t\\t//hidden layer nodes\\r\\n\\t\\thiddenNodes=new ArrayList<Node> ();\\r\\n\\t\\tfor(int i=0;i<hiddenNodeCount;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNode node=new Node(2);\\r\\n\\t\\t\\t//Connecting hidden layer nodes with input layer nodes\\r\\n\\t\\t\\tfor(int j=0;j<inputNodes.size();j++)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tNodeWeightPair nwp=new NodeWeightPair(inputNodes.get(j),hiddenWeights[i][j]);\\r\\n\\t\\t\\t\\tnode.parents.add(nwp);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\thiddenNodes.add(node);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//bias node from hidden layer to output\\r\\n\\t\\tNode biasToOutput=new Node(3);\\r\\n\\t\\thiddenNodes.add(biasToOutput);\\r\\n\\r\\n\\t\\t//Output node layer\\r\\n\\t\\toutputNodes=new ArrayList<Node> ();\\r\\n\\t\\tfor(int i=0;i<outputNodeCount;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNode node=new Node(4);\\r\\n\\t\\t\\t//Connecting output layer nodes with hidden layer nodes\\r\\n\\t\\t\\tfor(int j=0;j<hiddenNodes.size();j++)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tNodeWeightPair nwp=new NodeWeightPair(hiddenNodes.get(j), outputWeights[i][j]);\\r\\n\\t\\t\\t\\tnode.parents.add(nwp);\\r\\n\\t\\t\\t}\\t\\r\\n\\t\\t\\toutputNodes.add(node);\\r\\n\\t\\t}\\t\\r\\n\\t}\",\n \"public double[] runOptimizer() {\\n List<Integer> sents = new ArrayList<Integer>();\\n for(int i=0; i<sentNum; i++)\\n sents.add(i);\\n \\n if(needShuffle)\\n Collections.shuffle(sents);\\n \\n double oraMetric, oraScore, predMetric, predScore;\\n double[] oraPredScore = new double[4];\\n double eta = 1.0; //learning rate, will not be changed if run percep\\n double avgEta = 0; //average eta, just for analysis\\n double loss = 0;\\n double featNorm = 0;\\n double featDiffVal;\\n double sumMetricScore = 0;\\n double sumModelScore = 0;\\n String oraFeat = \\\"\\\";\\n String predFeat = \\\"\\\";\\n String[] oraPredFeat = new String[2];\\n String[] vecOraFeat;\\n String[] vecPredFeat;\\n String[] featInfo;\\n boolean first = true;\\n //int processedSent = 0;\\n Iterator it;\\n Integer diffFeatId;\\n double[] avgLambda = new double[initialLambda.length]; //only needed if averaging is required\\n for(int i=0; i<initialLambda.length; i++)\\n avgLambda[i] = 0.0;\\n\\n //update weights\\n for(Integer s : sents) {\\n //find out oracle and prediction\\n if(first)\\n findOraPred(s, oraPredScore, oraPredFeat, initialLambda, featScale);\\n else\\n findOraPred(s, oraPredScore, oraPredFeat, finalLambda, featScale);\\n \\n //the model scores here are already scaled in findOraPred\\n oraMetric = oraPredScore[0];\\n oraScore = oraPredScore[1];\\n predMetric = oraPredScore[2];\\n predScore = oraPredScore[3];\\n oraFeat = oraPredFeat[0];\\n predFeat = oraPredFeat[1];\\n \\n //update the scale\\n if(needScale) { //otherwise featscale remains 1.0\\n sumMetricScore += java.lang.Math.abs(oraMetric+predMetric);\\n sumModelScore += java.lang.Math.abs(oraScore+predScore)/featScale; //restore the original model score\\n \\n if(sumModelScore/sumMetricScore > scoreRatio)\\n featScale = sumMetricScore/sumModelScore;\\n\\n /* a different scaling strategy \\n if( (1.0*processedSent/sentNum) < sentForScale ) { //still need to scale\\n double newFeatScale = java.lang.Math.abs(scoreRatio*sumMetricDiff / sumModelDiff); //to make sure modelScore*featScale/metricScore = scoreRatio\\n \\n //update the scale only when difference is significant\\n if( java.lang.Math.abs(newFeatScale-featScale)/featScale > 0.2 )\\n featScale = newFeatScale;\\n }*/\\n }\\n// processedSent++;\\n\\n HashMap<Integer, Double> allOraFeat = new HashMap<Integer, Double>();\\n HashMap<Integer, Double> allPredFeat = new HashMap<Integer, Double>();\\n HashMap<Integer, Double> featDiff = new HashMap<Integer, Double>();\\n\\n vecOraFeat = oraFeat.split(\\\"\\\\\\\\s+\\\");\\n vecPredFeat = predFeat.split(\\\"\\\\\\\\s+\\\");\\n \\n for (int i = 0; i < vecOraFeat.length; i++) {\\n featInfo = vecOraFeat[i].split(\\\":\\\");\\n diffFeatId = Integer.parseInt(featInfo[0]);\\n allOraFeat.put(diffFeatId, Double.parseDouble(featInfo[1]));\\n featDiff.put(diffFeatId, Double.parseDouble(featInfo[1]));\\n }\\n\\n for (int i = 0; i < vecPredFeat.length; i++) {\\n featInfo = vecPredFeat[i].split(\\\":\\\");\\n diffFeatId = Integer.parseInt(featInfo[0]);\\n allPredFeat.put(diffFeatId, Double.parseDouble(featInfo[1]));\\n\\n if (featDiff.containsKey(diffFeatId)) //overlapping features\\n featDiff.put(diffFeatId, featDiff.get(diffFeatId)-Double.parseDouble(featInfo[1]));\\n else //features only firing in the 2nd feature vector\\n featDiff.put(diffFeatId, -1.0*Double.parseDouble(featInfo[1]));\\n }\\n\\n if(!runPercep) { //otherwise eta=1.0\\n featNorm = 0;\\n\\n Collection<Double> allDiff = featDiff.values();\\n for(it =allDiff.iterator(); it.hasNext();) {\\n featDiffVal = (Double) it.next();\\n featNorm += featDiffVal*featDiffVal;\\n }\\n \\n //a few sanity checks\\n if(! evalMetric.getToBeMinimized()) {\\n if(oraSelectMode==1 && predSelectMode==1) { //\\\"hope-fear\\\" selection\\n /* ora_score+ora_metric > pred_score+pred_metric\\n * pred_score-pred_metric > ora_score-ora_metric\\n * => ora_metric > pred_metric */\\n if(oraMetric+1e-10 < predMetric) {\\n System.err.println(\\\"WARNING: for hope-fear selection, oracle metric score must be greater than prediction metric score!\\\");\\n System.err.println(\\\"Something is wrong!\\\");\\n }\\n }\\n \\n if(oraSelectMode==2 || predSelectMode==3) {\\n if(oraMetric+1e-10 < predMetric) {\\n System.err.println(\\\"WARNING: for max-metric oracle selection or min-metric prediction selection, the oracle metric \\\" +\\n \\t\\t\\\"score must be greater than the prediction metric score!\\\");\\n System.err.println(\\\"Something is wrong!\\\");\\n }\\n }\\n } else {\\n if(oraSelectMode==1 && predSelectMode==1) { //\\\"hope-fear\\\" selection\\n /* ora_score-ora_metric > pred_score-pred_metric\\n * pred_score+pred_metric > ora_score+ora_metric\\n * => ora_metric < pred_metric */\\n if(oraMetric-1e-10 > predMetric) {\\n System.err.println(\\\"WARNING: for hope-fear selection, oracle metric score must be smaller than prediction metric score!\\\");\\n System.err.println(\\\"Something is wrong!\\\");\\n }\\n }\\n \\n if(oraSelectMode==2 || predSelectMode==3) {\\n if(oraMetric-1e-10 > predMetric) {\\n System.err.println(\\\"WARNING: for min-metric oracle selection or max-metric prediction selection, the oracle metric \\\" +\\n \\\"score must be smaller than the prediction metric score!\\\");\\n System.err.println(\\\"Something is wrong!\\\");\\n }\\n }\\n }\\n \\n if(predSelectMode==2) {\\n if(predScore+1e-10 < oraScore) {\\n System.err.println(\\\"WARNING: for max-model prediction selection, the prediction model score must be greater than oracle model score!\\\");\\n System.err.println(\\\"Something is wrong!\\\");\\n }\\n }\\n \\n //cost - margin\\n //remember the model scores here are already scaled\\n loss = evalMetric.getToBeMinimized() ? //cost should always be non-negative \\n (predMetric-oraMetric) - (oraScore-predScore)/featScale: \\n (oraMetric-predMetric) - (oraScore-predScore)/featScale;\\n \\n if(loss<0)\\n loss = 0;\\n\\n if(loss == 0)\\n eta = 0;\\n else\\n //eta = C < loss/(featNorm*featScale*featScale) ? C : loss/(featNorm*featScale*featScale); //feat vector not scaled before\\n eta = C < loss/(featNorm) ? C : loss/(featNorm); //feat vector not scaled before\\n }\\n \\n avgEta += eta;\\n\\n Set<Integer> diffFeatSet = featDiff.keySet();\\n it = diffFeatSet.iterator();\\n\\n if(first) {\\n first = false;\\n \\n if(eta!=0) {\\n while(it.hasNext()) {\\n diffFeatId = (Integer)it.next();\\n finalLambda[diffFeatId] = initialLambda[diffFeatId] + eta*featDiff.get(diffFeatId);\\n }\\n }\\n }\\n else {\\n if(eta!=0) {\\n while(it.hasNext()) {\\n diffFeatId = (Integer)it.next();\\n finalLambda[diffFeatId] = finalLambda[diffFeatId] + eta*featDiff.get(diffFeatId);\\n }\\n }\\n }\\n \\n if(needAvg) {\\n for(int i=0; i<avgLambda.length; i++)\\n avgLambda[i] += finalLambda[i];\\n }\\n }\\n \\n if(needAvg) {\\n for(int i=0; i<finalLambda.length; i++)\\n finalLambda[i] = avgLambda[i]/sentNum;\\n }\\n \\n avgEta /= sentNum;\\n System.out.println(\\\"Average learning rate: \\\"+avgEta);\\n\\n // the intitialLambda & finalLambda are all trainable parameters\\n //if (!trainMode.equals(\\\"3\\\")) // for mode 3, no need to normalize sparse\\n // feature weights\\n //normalizeLambda(finalLambda);\\n //else\\n //normalizeLambda_mode3(finalLambda);\\n\\n /*\\n * for( int i=0; i<finalLambda.length; i++ ) System.out.print(finalLambda[i]+\\\" \\\");\\n * System.out.println(); System.exit(0);\\n */ \\n\\n double initMetricScore = computeCorpusMetricScore(initialLambda); // compute the initial corpus-level metric score\\n double finalMetricScore = computeCorpusMetricScore(finalLambda); // compute final corpus-level metric score // the\\n\\n // prepare the printing info\\n int numParamToPrint = 0;\\n String result = \\\"\\\";\\n\\n if (trainMode.equals(\\\"1\\\") || trainMode.equals(\\\"4\\\")) {\\n numParamToPrint = paramDim > 10 ? 10 : paramDim; // how many parameters\\n // to print\\n result = paramDim > 10 ? \\\"Final lambda(first 10): {\\\" : \\\"Final lambda: {\\\";\\n\\n for (int i = 1; i < numParamToPrint; i++)\\n // in ZMERT finalLambda[0] is not used\\n result += finalLambda[i] + \\\" \\\";\\n } else {\\n int sparseNumToPrint = 0;\\n if (trainMode.equals(\\\"2\\\")) {\\n result = \\\"Final lambda(regular feats + first 5 sparse feats): {\\\";\\n for (int i = 1; i <= regParamDim; ++i)\\n result += finalLambda[i] + \\\" \\\";\\n\\n result += \\\"||| \\\";\\n\\n sparseNumToPrint = 5 < (paramDim - regParamDim) ? 5 : (paramDim - regParamDim);\\n\\n for (int i = 1; i <= sparseNumToPrint; i++)\\n result += finalLambda[regParamDim + i] + \\\" \\\";\\n } else {\\n result = \\\"Final lambda(first 10 sparse feats): {\\\";\\n sparseNumToPrint = 10 < paramDim ? 10 : paramDim;\\n\\n for (int i = 1; i < sparseNumToPrint; i++)\\n result += finalLambda[i] + \\\" \\\";\\n }\\n }\\n\\n output.add(result + finalLambda[numParamToPrint] + \\\"}\\\\n\\\" + \\\"Initial \\\"\\n + evalMetric.get_metricName() + \\\": \\\" + initMetricScore + \\\"\\\\nFinal \\\"\\n + evalMetric.get_metricName() + \\\": \\\" + finalMetricScore);\\n\\n // System.out.println(output);\\n\\n if (trainMode.equals(\\\"3\\\")) {\\n // finalLambda = baseline(unchanged)+disc\\n for (int i = 0; i < paramDim; i++)\\n copyLambda[i + regParamDim + 1] = finalLambda[i];\\n\\n finalLambda = copyLambda;\\n }\\n\\n return finalLambda;\\n }\",\n \"public FeedForwardNeuralNetwork mutate(FeedForwardNeuralNetwork net)\\n\\t{\\n // Copies the net\\n FeedForwardNeuralNetwork newNetwork = new FeedForwardNeuralNetwork(net);\\n newNetwork.setWeightVector((Vector<Double>)net.getWeightVector().clone());\\n\\n Vector<Double> newWeights = new Vector<Double>();\\n\\t\\tRandom gen = new Random();\\n int mc = gen.nextInt(100), slSize;\\n\\n if (mc <= 10) { // all the weights in the network\\n for(SynapseLayer sl: newNetwork.synapse_layers) {\\n slSize = sl.getWeightVector().size() / 20;\\n for (Double weight: sl.getWeightVector())\\n newWeights.add(weight + gen.nextGaussian()*Math.sqrt(slSize));\\n }\\n newNetwork.setWeightVector(newWeights);\\n }\\n else if (mc <= 37) { // all the weights in a randomly selected layer\\n SynapseLayer sl = newNetwork.synapse_layers.get(gen.nextInt(newNetwork.synapse_layers.size()));\\n for (Double weight: sl.getWeightVector())\\n newWeights.add(weight + gen.nextGaussian() * Math.sqrt(sl.getWeightVector().size()/20));\\n sl.setWeightVector(newWeights);\\n }\\n else if (mc <= 64) { // all the weights going into a randomly selecte layer, i can't tell the difference between this and the last one\\n SynapseLayer sl = newNetwork.synapse_layers.get(gen.nextInt(newNetwork.synapse_layers.size()));\\n for (Double weight: sl.getWeightVector())\\n newWeights.add(weight + gen.nextGaussian() * Math.sqrt(sl.getWeightVector().size()/20));\\n sl.setWeightVector(newWeights);\\n }\\n else {\\n newWeights = newNetwork.getWeightVector();\\n int rInd = gen.nextInt(newWeights.size());\\n newWeights.set(rInd, newWeights.get(rInd) + Math.sqrt(gen.nextGaussian()*14));\\n newNetwork.setWeightVector(newWeights);\\n }\\n\\t\\treturn newNetwork;\\n\\t}\",\n \"public static Double[] learnSimplePerceptronWords(Data data1[],int index,double LearningRate,Double w[],HashMap<Integer, Integer> words)\\r\\n \\t{\\r\\n \\t\\t\\r\\n \\t\\tData data[] = Arrays.copyOf(data1,index);\\r\\n \\t\\t\\r\\n \\t\\t//shuffle the data..\\r\\n \\t \\tArrayList<Data> arrayList = new ArrayList<Data>(Arrays.asList(Arrays.copyOf(data,index))); \\r\\n \\t\\tCollections.shuffle(arrayList,new Random(10));\\r\\n \\t\\tdata = arrayList.toArray(new Data[arrayList.size()]);\\r\\n \\t\\tfor(int i=0;i<index;i++)\\r\\n \\t\\t{\\r\\n \\t\\t\\tdouble trueLabel;\\r\\n \\t\\t\\tdouble predictedLabel;\\r\\n \\t\\t\\tdouble dotProduct_wT_x = 0.0f;\\r\\n \\t\\t\\tHashMap<Integer, Double> x = new HashMap<Integer, Double>();\\r\\n \\t\\t \\r\\n \\t\\t\\ttrueLabel = data[i].getY();\\r\\n \\t\\t\\tx= data[i].getX();\\r\\n \\t\\t\\t \\r\\n \\t\\t\\t\\r\\n \\t\\t \\r\\n \\t\\t\\t//wT*x (contains bias)\\r\\n \\t\\t\\tfor (Map.Entry<Integer, Double> entry : x.entrySet()) {\\r\\n \\t\\t\\t\\tdotProduct_wT_x = dotProduct_wT_x + w[entry.getKey()] * entry.getValue();\\r\\n \\t\\t\\t}\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t//predict the label\\r\\n \\t\\t\\tif(dotProduct_wT_x < 0)\\r\\n \\t\\t\\t\\tpredictedLabel = -1;\\r\\n \\t\\t\\telse\\t\\r\\n \\t\\t\\t\\tpredictedLabel = +1;\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t//check if prediction is correct, if not update the weight vector and bias.\\r\\n \\t\\t\\tif(predictedLabel != trueLabel)\\r\\n \\t\\t//\\tif(dotProduct_wT_x<0)\\r\\n \\t\\t\\t{\\r\\n \\t\\t\\t\\t//update bias\\r\\n \\t\\t\\t\\tw[0]=w[0]+trueLabel*LearningRate;\\r\\n\\r\\n \\t\\t\\t\\t\\r\\n \\t\\t\\t\\t//update all other weights only if those words are worthy tracking\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t\\tfor(int j=1;j<w.length;j++)\\r\\n \\t\\t\\t\\t{\\r\\n \\t\\t\\t\\t\\t// if(x.containsKey(j))\\r\\n \\t\\t\\t\\t if(x.containsKey(j))\\r\\n \\t\\t\\t \\t if(words.containsKey(j)) //give more weightage to words that matter updates only when keyword found\\r\\n \\t\\t \\t\\t\\t \\tw[j]=w[j]+LearningRate*trueLabel*x.get(j);\\r\\n\\r\\n \\t\\t\\t\\t//\\telse\\r\\n \\t\\t\\t//\\t\\t\\tw[j]=(double)0;\\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 \\r\\n \\t\\t}\\r\\n \\t\\treturn w;\\r\\n \\t}\",\n \"public void train() {\\n\\n\\t\\tint D = Os.length;\\n\\t\\tint T_n = 0;\\n\\t\\tdouble log_likelihood = 0;\\n\\t\\tdouble log_likelihood_new = 0;\\n\\t\\tdouble epsilon = this.epsilon;\\n\\t\\tint maxIter = this.maxIter;\\n\\n\\t\\t// Initialization\\n\\n\\t\\tclearVector(pi);\\n\\t\\tclearMatrix(A);\\n\\t\\tclearMatrix(B);\\n\\n\\t\\tdouble[] a = allocateVector(N);\\n\\t\\tdouble[] b = allocateVector(N);\\n\\n\\t\\tint[] Q_n = null;\\n\\t\\tint[] O_n = null;\\n\\t\\t\\n\\t\\tif (Qs == null) {\\n\\t\\t\\t\\n\\t\\t\\tpi = initializePi();\\n\\t\\t\\tA = initializeA();\\n\\t\\t\\tB = initializeB();\\n\\t\\t\\t\\n\\t\\t} else {\\n\\t\\t\\t\\n\\t\\t\\tfor (int n = 0; n < D; n++) {\\n\\t\\t\\t\\tQ_n = Qs[n];\\n\\t\\t\\t\\tO_n = Os[n];\\n\\t\\t\\t\\tT_n = Os[n].length;\\n\\t\\t\\t\\tfor (int t = 0; t < T_n; t++) {\\n\\t\\t\\t\\t\\tif (t < T_n - 1) {\\n\\t\\t\\t\\t\\t\\tA[Q_n[t]][Q_n[t + 1]] += 1;\\n\\t\\t\\t\\t\\t\\ta[Q_n[t]] += 1;\\n\\t\\t\\t\\t\\t\\tif (t == 0) {\\n\\t\\t\\t\\t\\t\\t\\tpi[Q_n[0]] += 1;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tB[Q_n[t]][O_n[t]] += 1;\\n\\t\\t\\t\\t\\tb[Q_n[t]] += 1;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tdivideAssign(pi, D);\\n\\t\\t\\tfor (int i = 0; i < N; i++) {\\n\\t\\t\\t\\tdivideAssign(A[i], a[i]);\\n\\t\\t\\t\\tdivideAssign(B[i], b[i]);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t}\\n\\n\\t\\tint s = 0;\\n\\t\\tdouble[] pi_new = allocateVector(N);\\n\\t\\tdouble[][] A_new = allocateMatrix(N, N);\\n\\t\\tdouble[][] B_new = allocateMatrix(N, M);\\n\\t\\tdouble[] temp_pi = null;\\n\\t\\tdouble[][] temp_A = null;\\n\\t\\tdouble[][] temp_B = null;\\n\\t\\tdouble[][] alpha_hat = null;\\n\\t\\tdouble[][] beta_hat = null;\\n\\t\\tdouble[] c_n = null;\\n\\t\\tdouble[][] xi = allocateMatrix(N, N);\\n\\t\\tdouble[] gamma = allocateVector(N);\\n\\t\\tdo {\\n\\n\\t\\t\\t// Clearance\\n\\t\\t\\tclearVector(pi_new);\\n\\t\\t\\tclearMatrix(A_new);\\n\\t\\t\\tclearMatrix(B_new);\\n\\t\\t\\tclearVector(a);\\n\\t\\t\\tclearVector(b);\\n\\t\\t\\t/*clearMatrix(xi);\\n\\t\\t\\tclearVector(gamma);*/\\n\\t\\t\\tlog_likelihood_new = 0;\\n\\n\\t\\t\\tfor (int n = 0; n < D; n++) {\\n\\n\\t\\t\\t\\t// Q_n = Qs[n];\\n\\t\\t\\t\\tO_n = Os[n];\\n\\t\\t\\t\\tT_n = Os[n].length;\\n\\t\\t\\t\\tc_n = allocateVector(T_n);\\n\\t\\t\\t\\talpha_hat = allocateMatrix(T_n, N);\\n\\t\\t\\t\\tbeta_hat = allocateMatrix(T_n, N);\\n\\n\\t\\t\\t\\t// Forward Recursion with Scaling\\t\\t\\t\\n\\n\\t\\t\\t\\tfor (int t = 0; t <= T_n - 1; t++) {\\n\\t\\t\\t\\t\\tif (t == 0) {\\n\\t\\t\\t\\t\\t\\tfor (int i = 0; i < N; i++) {\\n\\t\\t\\t\\t\\t\\t\\talpha_hat[0][i] = pi[i] * B[i][O_n[0]];\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\tfor (int j = 0; j < N; j++) {\\n\\t\\t\\t\\t\\t\\t\\tfor (int i = 0; i < N; i++) {\\n\\t\\t\\t\\t\\t\\t\\t\\talpha_hat[t][j] += alpha_hat[t - 1][i] * A[i][j] * B[j][O_n[t]];\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tc_n[t] = 1.0 / sum(alpha_hat[t]);\\n\\t\\t\\t\\t\\ttimesAssign(alpha_hat[t], c_n[t]);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// Backward Recursion with Scaling\\n\\n\\t\\t\\t\\tfor (int t = T_n + 1; t >= 2; t--) {\\n\\t\\t\\t\\t\\tif (t == T_n + 1) {\\n\\t\\t\\t\\t\\t\\tfor (int i = 0; i < N; i++) {\\n\\t\\t\\t\\t\\t\\t\\tbeta_hat[t - 2][i] = 1;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tif (t <= T_n) {\\n\\t\\t\\t\\t\\t\\tfor (int i = 0; i < N; i++) {\\n\\t\\t\\t\\t\\t\\t\\tfor (int j = 0; j < N; j++) {\\n\\t\\t\\t\\t\\t\\t\\t\\tbeta_hat[t - 2][i] += A[i][j] * B[j][O_n[t - 1]] * beta_hat[t - 1][j];\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\ttimesAssign(beta_hat[t - 2], c_n[t - 2]);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// Expectation Variables and Updating Model Parameters\\n\\n\\t\\t\\t\\tfor (int t = 0; t <= T_n - 1; t++) {\\n\\t\\t\\t\\t\\tif (t < T_n - 1) {\\n\\t\\t\\t\\t\\t\\tfor (int i = 0; i < N; i++) {\\n\\t\\t\\t\\t\\t\\t\\tfor (int j = 0; j < N; j++) {\\n\\t\\t\\t\\t\\t\\t\\t\\txi[i][j] = alpha_hat[t][i] * A[i][j] * B[j][O_n[t + 1]] * beta_hat[t + 1][j];\\n\\t\\t\\t\\t\\t\\t\\t\\t// A_new[i][j] += xi[i][j];\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\tplusAssign(A_new[i], xi[i]);\\n\\t\\t\\t\\t\\t\\t\\tgamma[i] = sum(xi[i]);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tif (t == 0) {\\n\\t\\t\\t\\t\\t\\t\\tplusAssign(pi_new, gamma);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tplusAssign(a, gamma);\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\tassignVector(gamma, alpha_hat[t]);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tfor (int j = 0; j < N; j++) {\\n\\t\\t\\t\\t\\t\\tB_new[j][O_n[t]] += gamma[j];\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tplusAssign(b, gamma);\\n\\t\\t\\t\\t\\tlog_likelihood_new += -Math.log(c_n[t]);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Normalization (Sum to One)\\n\\n\\t\\t\\tsum2one(pi_new);\\n\\n\\t\\t\\tfor (int i = 0; i < N; i++) {\\n\\t\\t\\t\\tdivideAssign(A_new[i], a[i]);\\n\\t\\t\\t}\\n\\n\\t\\t\\tfor (int j = 0; j < N; j++) {\\n\\t\\t\\t\\tdivideAssign(B_new[j], b[j]);\\n\\t\\t\\t}\\n\\n\\t\\t\\ttemp_pi = pi;\\n\\t\\t\\tpi = pi_new;\\n\\t\\t\\tpi_new = temp_pi;\\n\\n\\t\\t\\ttemp_A = A;\\n\\t\\t\\tA = A_new;\\n\\t\\t\\tA_new = temp_A;\\n\\n\\t\\t\\ttemp_B = B;\\n\\t\\t\\tB = B_new;\\n\\t\\t\\tB_new = temp_B;\\n\\t\\t\\t// display(B);\\n\\n\\t\\t\\ts = s + 1;\\n\\n\\t\\t\\tif (s > 1) {\\n\\t\\t\\t\\tif (Math.abs((log_likelihood_new - log_likelihood) / log_likelihood) < epsilon) {\\n\\t\\t\\t\\t\\tfprintf(\\\"log[P(O|Theta)] does not increase.\\\\n\\\\n\\\");\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tlog_likelihood = log_likelihood_new;\\n\\t\\t\\tfprintf(\\\"Iter: %d, log[P(O|Theta)]: %f\\\\n\\\", s, log_likelihood);\\n\\n\\t\\t} while (s < maxIter);\\n\\n\\t}\",\n \"@Override\\n public void calculate(double[] x) {\\n\\n double prob = 0.0; // the log prob of the sequence given the model, which is the negation of value at this point\\n Triple<double[][], double[][], double[][]> allParams = separateWeights(x);\\n double[][] linearWeights = allParams.first();\\n double[][] W = allParams.second(); // inputLayerWeights \\n double[][] U = allParams.third(); // outputLayerWeights \\n\\n double[][] Y = null;\\n if (flags.softmaxOutputLayer) {\\n Y = new double[U.length][];\\n for (int i = 0; i < U.length; i++) {\\n Y[i] = ArrayMath.softmax(U[i]);\\n }\\n }\\n\\n double[][] What = emptyW();\\n double[][] Uhat = emptyU();\\n\\n // the expectations over counts\\n // first index is feature index, second index is of possible labeling\\n double[][] E = empty2D();\\n double[][] eW = emptyW();\\n double[][] eU = emptyU();\\n\\n // iterate over all the documents\\n for (int m = 0; m < data.length; m++) {\\n int[][][] docData = data[m];\\n int[] docLabels = labels[m];\\n\\n // make a clique tree for this document\\n CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(docData, labelIndices, numClasses, classIndex,\\n backgroundSymbol, new NonLinearCliquePotentialFunction(linearWeights, W, U, flags));\\n\\n // compute the log probability of the document given the model with the parameters x\\n int[] given = new int[window - 1];\\n Arrays.fill(given, classIndex.indexOf(backgroundSymbol));\\n int[] windowLabels = new int[window];\\n Arrays.fill(windowLabels, classIndex.indexOf(backgroundSymbol));\\n\\n if (docLabels.length>docData.length) { // only true for self-training\\n // fill the given array with the extra docLabels\\n System.arraycopy(docLabels, 0, given, 0, given.length);\\n System.arraycopy(docLabels, 0, windowLabels, 0, windowLabels.length);\\n // shift the docLabels array left\\n int[] newDocLabels = new int[docData.length];\\n System.arraycopy(docLabels, docLabels.length-newDocLabels.length, newDocLabels, 0, newDocLabels.length);\\n docLabels = newDocLabels;\\n }\\n // iterate over the positions in this document\\n for (int i = 0; i < docData.length; i++) {\\n int label = docLabels[i];\\n double p = cliqueTree.condLogProbGivenPrevious(i, label, given);\\n if (VERBOSE) {\\n System.err.println(\\\"P(\\\" + label + \\\"|\\\" + ArrayMath.toString(given) + \\\")=\\\" + p);\\n }\\n prob += p;\\n System.arraycopy(given, 1, given, 0, given.length - 1);\\n given[given.length - 1] = label;\\n }\\n\\n // compute the expected counts for this document, which we will need to compute the derivative\\n // iterate over the positions in this document\\n for (int i = 0; i < docData.length; i++) {\\n // for each possible clique at this position\\n System.arraycopy(windowLabels, 1, windowLabels, 0, window - 1);\\n windowLabels[window - 1] = docLabels[i];\\n for (int j = 0; j < docData[i].length; j++) {\\n Index<CRFLabel> labelIndex = labelIndices[j];\\n // for each possible labeling for that clique\\n int[] cliqueFeatures = docData[i][j];\\n double[] As = null;\\n double[] fDeriv = null;\\n double[][] yTimesA = null;\\n double[] sumOfYTimesA = null;\\n\\n if (j == 0) {\\n As = NonLinearCliquePotentialFunction.hiddenLayerOutput(W, cliqueFeatures, flags);\\n fDeriv = new double[inputLayerSize];\\n double fD = 0;\\n for (int q = 0; q < inputLayerSize; q++) {\\n if (useSigmoid) {\\n fD = As[q] * (1 - As[q]); \\n } else {\\n fD = 1 - As[q] * As[q]; \\n }\\n fDeriv[q] = fD;\\n }\\n\\n // calculating yTimesA for softmax\\n if (flags.softmaxOutputLayer) {\\n double val = 0;\\n\\n yTimesA = new double[outputLayerSize][numHiddenUnits];\\n for (int ii = 0; ii < outputLayerSize; ii++) {\\n yTimesA[ii] = new double[numHiddenUnits];\\n }\\n sumOfYTimesA = new double[outputLayerSize];\\n\\n for (int k = 0; k < outputLayerSize; k++) {\\n double[] Yk = null;\\n if (flags.tieOutputLayer) {\\n Yk = Y[0];\\n } else {\\n Yk = Y[k];\\n }\\n double sum = 0;\\n for (int q = 0; q < inputLayerSize; q++) {\\n if (q % outputLayerSize == k) {\\n int hiddenUnitNo = q / outputLayerSize;\\n val = As[q] * Yk[hiddenUnitNo];\\n yTimesA[k][hiddenUnitNo] = val;\\n sum += val;\\n }\\n }\\n sumOfYTimesA[k] = sum;\\n }\\n }\\n\\n // calculating Uhat What\\n int[] cliqueLabel = new int[j + 1];\\n System.arraycopy(windowLabels, window - 1 - j, cliqueLabel, 0, j + 1);\\n\\n CRFLabel crfLabel = new CRFLabel(cliqueLabel);\\n int givenLabelIndex = labelIndex.indexOf(crfLabel);\\n double[] Uk = null;\\n double[] UhatK = null;\\n double[] Yk = null;\\n double[] yTimesAK = null;\\n double sumOfYTimesAK = 0;\\n if (flags.tieOutputLayer) {\\n Uk = U[0];\\n UhatK = Uhat[0];\\n if (flags.softmaxOutputLayer) {\\n Yk = Y[0];\\n }\\n } else {\\n Uk = U[givenLabelIndex];\\n UhatK = Uhat[givenLabelIndex];\\n if (flags.softmaxOutputLayer) {\\n Yk = Y[givenLabelIndex];\\n }\\n }\\n\\n if (flags.softmaxOutputLayer) {\\n yTimesAK = yTimesA[givenLabelIndex];\\n sumOfYTimesAK = sumOfYTimesA[givenLabelIndex];\\n }\\n\\n for (int k = 0; k < inputLayerSize; k++) {\\n double deltaK = 1;\\n if (flags.sparseOutputLayer || flags.tieOutputLayer) {\\n if (k % outputLayerSize == givenLabelIndex) {\\n int hiddenUnitNo = k / outputLayerSize;\\n if (flags.softmaxOutputLayer) {\\n UhatK[hiddenUnitNo] += (yTimesAK[hiddenUnitNo] - Yk[hiddenUnitNo] * sumOfYTimesAK);\\n deltaK *= Yk[hiddenUnitNo];\\n } else {\\n UhatK[hiddenUnitNo] += As[k];\\n deltaK *= Uk[hiddenUnitNo];\\n }\\n }\\n } else {\\n UhatK[k] += As[k];\\n if (useOutputLayer) {\\n deltaK *= Uk[k];\\n }\\n }\\n if (useHiddenLayer)\\n deltaK *= fDeriv[k];\\n if (useOutputLayer) {\\n if (flags.sparseOutputLayer || flags.tieOutputLayer) {\\n if (k % outputLayerSize == givenLabelIndex) {\\n double[] WhatK = What[k];\\n for (int n = 0; n < cliqueFeatures.length; n++) {\\n WhatK[cliqueFeatures[n]] += deltaK;\\n }\\n }\\n } else {\\n double[] WhatK = What[k];\\n for (int n = 0; n < cliqueFeatures.length; n++) {\\n WhatK[cliqueFeatures[n]] += deltaK;\\n }\\n }\\n } else {\\n if (k == givenLabelIndex) {\\n double[] WhatK = What[k];\\n for (int n = 0; n < cliqueFeatures.length; n++) {\\n WhatK[cliqueFeatures[n]] += deltaK;\\n }\\n }\\n }\\n }\\n }\\n\\n for (int k = 0; k < labelIndex.size(); k++) { // labelIndex.size() == numClasses\\n int[] label = labelIndex.get(k).getLabel();\\n double p = cliqueTree.prob(i, label); // probability of these labels occurring in this clique with these features\\n if (j == 0) { // for node features\\n double[] Uk = null;\\n double[] eUK = null;\\n double[] Yk = null;\\n if (flags.tieOutputLayer) {\\n Uk = U[0];\\n eUK = eU[0];\\n if (flags.softmaxOutputLayer) {\\n Yk = Y[0];\\n }\\n } else {\\n Uk = U[k];\\n eUK = eU[k];\\n if (flags.softmaxOutputLayer) {\\n Yk = Y[k];\\n }\\n }\\n if (useOutputLayer) {\\n for (int q = 0; q < inputLayerSize; q++) {\\n double deltaQ = 1;\\n if (flags.sparseOutputLayer || flags.tieOutputLayer) {\\n if (q % outputLayerSize == k) {\\n int hiddenUnitNo = q / outputLayerSize;\\n if (flags.softmaxOutputLayer) {\\n eUK[hiddenUnitNo] += (yTimesA[k][hiddenUnitNo] - Yk[hiddenUnitNo] * sumOfYTimesA[k]) * p;\\n deltaQ = Yk[hiddenUnitNo];\\n } else {\\n eUK[hiddenUnitNo] += As[q] * p;\\n deltaQ = Uk[hiddenUnitNo];\\n }\\n }\\n } else {\\n eUK[q] += As[q] * p;\\n deltaQ = Uk[q];\\n }\\n if (useHiddenLayer)\\n deltaQ *= fDeriv[q];\\n if (flags.sparseOutputLayer || flags.tieOutputLayer) {\\n if (q % outputLayerSize == k) {\\n double[] eWq = eW[q];\\n for (int n = 0; n < cliqueFeatures.length; n++) {\\n eWq[cliqueFeatures[n]] += deltaQ * p;\\n }\\n }\\n } else {\\n double[] eWq = eW[q];\\n for (int n = 0; n < cliqueFeatures.length; n++) {\\n eWq[cliqueFeatures[n]] += deltaQ * p;\\n }\\n }\\n }\\n } else {\\n double deltaK = 1;\\n if (useHiddenLayer)\\n deltaK *= fDeriv[k];\\n double[] eWK = eW[k];\\n for (int n = 0; n < cliqueFeatures.length; n++) {\\n eWK[cliqueFeatures[n]] += deltaK * p;\\n }\\n }\\n } else { // for edge features\\n for (int n = 0; n < cliqueFeatures.length; n++) {\\n E[cliqueFeatures[n]][k] += p;\\n }\\n }\\n }\\n }\\n }\\n }\\n\\n if (Double.isNaN(prob)) { // shouldn't be the case\\n throw new RuntimeException(\\\"Got NaN for prob in CRFNonLinearLogConditionalObjectiveFunction.calculate()\\\");\\n }\\n\\n value = -prob;\\n if(VERBOSE){\\n System.err.println(\\\"value is \\\" + value);\\n }\\n\\n // compute the partial derivative for each feature by comparing expected counts to empirical counts\\n int index = 0;\\n for (int i = 0; i < E.length; i++) {\\n int originalIndex = edgeFeatureIndicesMap.get(i);\\n\\n for (int j = 0; j < E[i].length; j++) {\\n derivative[index++] = (E[i][j] - Ehat[i][j]);\\n if (VERBOSE) {\\n System.err.println(\\\"linearWeights deriv(\\\" + i + \\\",\\\" + j + \\\") = \\\" + E[i][j] + \\\" - \\\" + Ehat[i][j] + \\\" = \\\" + derivative[index - 1]);\\n }\\n }\\n }\\n if (index != edgeParamCount)\\n throw new RuntimeException(\\\"after edge derivative, index(\\\"+index+\\\") != edgeParamCount(\\\"+edgeParamCount+\\\")\\\");\\n\\n for (int i = 0; i < eW.length; i++) {\\n for (int j = 0; j < eW[i].length; j++) {\\n derivative[index++] = (eW[i][j] - What[i][j]);\\n if (VERBOSE) {\\n System.err.println(\\\"inputLayerWeights deriv(\\\" + i + \\\",\\\" + j + \\\") = \\\" + eW[i][j] + \\\" - \\\" + What[i][j] + \\\" = \\\" + derivative[index - 1]);\\n }\\n }\\n }\\n\\n\\n if (index != beforeOutputWeights)\\n throw new RuntimeException(\\\"after W derivative, index(\\\"+index+\\\") != beforeOutputWeights(\\\"+beforeOutputWeights+\\\")\\\");\\n\\n if (useOutputLayer) {\\n for (int i = 0; i < eU.length; i++) {\\n for (int j = 0; j < eU[i].length; j++) {\\n derivative[index++] = (eU[i][j] - Uhat[i][j]);\\n if (VERBOSE) {\\n System.err.println(\\\"outputLayerWeights deriv(\\\" + i + \\\",\\\" + j + \\\") = \\\" + eU[i][j] + \\\" - \\\" + Uhat[i][j] + \\\" = \\\" + derivative[index - 1]);\\n }\\n }\\n }\\n }\\n\\n if (index != x.length)\\n throw new RuntimeException(\\\"after W derivative, index(\\\"+index+\\\") != x.length(\\\"+x.length+\\\")\\\");\\n\\n int regSize = x.length;\\n if (flags.skipOutputRegularization || flags.softmaxOutputLayer) {\\n regSize = beforeOutputWeights;\\n }\\n\\n // incorporate priors\\n if (prior == QUADRATIC_PRIOR) {\\n double sigmaSq = sigma * sigma;\\n for (int i = 0; i < regSize; i++) {\\n double k = 1.0;\\n double w = x[i];\\n value += k * w * w / 2.0 / sigmaSq;\\n derivative[i] += k * w / sigmaSq;\\n }\\n } else if (prior == HUBER_PRIOR) {\\n double sigmaSq = sigma * sigma;\\n for (int i = 0; i < regSize; i++) {\\n double w = x[i];\\n double wabs = Math.abs(w);\\n if (wabs < epsilon) {\\n value += w * w / 2.0 / epsilon / sigmaSq;\\n derivative[i] += w / epsilon / sigmaSq;\\n } else {\\n value += (wabs - epsilon / 2) / sigmaSq;\\n derivative[i] += ((w < 0.0) ? -1.0 : 1.0) / sigmaSq;\\n }\\n }\\n } else if (prior == QUARTIC_PRIOR) {\\n double sigmaQu = sigma * sigma * sigma * sigma;\\n for (int i = 0; i < regSize; i++) {\\n double k = 1.0;\\n double w = x[i];\\n value += k * w * w * w * w / 2.0 / sigmaQu;\\n derivative[i] += k * w / sigmaQu;\\n }\\n }\\n }\",\n \"public static void gradientCheck(){\\n\\t\\tList<Integer> context = Arrays.asList(1, 2, 3);\\n\\t\\tInteger nextWord = 5;\\n\\t\\tNetwork network = new Network(4, 20, 30, 40);\\n\\t\\t\\n\\t\\tdouble epsilon = 0.0001;\\n\\t\\tdouble alpha = 0.1;\\n\\t\\t\\n\\t\\tint i = 1, j = 12;\\n\\t\\tdouble originalValue = network.E.get(i).get(j, 0);\\n\\t\\t\\n\\t\\tnetwork.E.get(i).put(j, 0, originalValue + epsilon);\\n\\t\\tnetwork.feedForward(context, nextWord);\\n\\t\\tdouble loss1 = -1.0 * Math.log(network.output.get(nextWord, 0));\\n\\t\\t\\n\\t\\tnetwork.E.get(i).put(j, 0, originalValue - epsilon);\\n\\t\\tnetwork.feedForward(context, nextWord);\\n\\t\\tdouble loss2 = -1.0 * Math.log(network.output.get(nextWord, 0));\\n\\t\\t\\n\\t\\tdouble derivative1 = (loss1 - loss2)/(2.0 * epsilon);\\n\\t\\tSystem.out.println(\\\"Derivative1: \\\" + derivative1);\\n\\t\\t\\n\\t\\tnetwork.E.get(i).put(j, 0, originalValue);\\n\\t\\tnetwork.feedForward(context, nextWord);\\n\\t\\tnetwork.backProp(context, nextWord, alpha);\\n\\t\\tdouble derivative2 = (network.E.get(i).get(j, 0) - originalValue) / (-1.0 * alpha);\\n\\t\\tSystem.out.println(\\\"Derivative2: \\\" + derivative2);\\n\\t\\t\\n\\t\\tif(Math.abs(derivative1 - derivative2) < 0.00001)\\n\\t\\t\\tSystem.out.println(\\\"Gradient check: PASS\\\");\\n\\t\\telse\\n\\t\\t\\tSystem.out.println(\\\"Gradient check: FAIL\\\");\\n\\t}\",\n \"@Override\\n\\tpublic Object backward(Object grad_output) {\\n\\t\\t\\n\\t\\tdouble[] grads=(double[])grad_output;\\n\\t\\t\\n\\t\\t//for weights\\n\\t\\tweights_gradients=new double[weights.length][];\\n\\t\\tfor(int i=0;i<weights.length;i++)\\n\\t\\t{\\n\\t\\t\\tweights_gradients[i]=grads;\\n\\t\\t}\\n\\t\\t\\n\\t\\t//for grad_inputs\\n\\t\\tdouble[] grad_inputs=MatrixTool.MatrixRightDotVector(weights, grads);\\n\\t\\treturn grad_inputs;\\n\\t}\",\n \"public double transfer(double[] inputs, double[] weights) throws Exception;\",\n \"public void train ()\\t{\\t}\",\n \"void update(int bit) \\n {\\n this.idx = 0;\\n int err = (bit<<12) - this.pr;\\n\\n if (err == 0)\\n return; \\n \\n err = (err << 3) - err;\\n\\n // Train Neural Network: update weights\\n this.buffer[this.ctx+8] += ((this.buffer[this.ctx] *err + 0) >> 16); \\n this.buffer[this.ctx+9] += ((this.buffer[this.ctx+1]*err + 0) >> 16); \\n this.buffer[this.ctx+10] += ((this.buffer[this.ctx+2]*err + 0) >> 16); \\n this.buffer[this.ctx+11] += ((this.buffer[this.ctx+3]*err + 0) >> 16); \\n this.buffer[this.ctx+12] += ((this.buffer[this.ctx+4]*err + 0) >> 16); \\n this.buffer[this.ctx+13] += ((this.buffer[this.ctx+5]*err + 0) >> 16); \\n this.buffer[this.ctx+14] += ((this.buffer[this.ctx+6]*err + 0) >> 16); \\n this.buffer[this.ctx+15] += ((this.buffer[this.ctx+7]*err + 0) >> 16); \\n }\",\n \"public void backpropagate (FlatLayer flat){\\n\\t\\tDouble [] err = flat.getErrors();\\n\\t\\tDouble [][] weights = flat.getOldWeights();\\n\\t\\tDouble sum;\\n\\t\\tint index;\\n\\n\\t\\tfor ( int i = 0; i < poolMaps.size() ; i++){\\n\\n\\t\\t\\tPoolMap pmap = poolMaps.get(i);\\n\\n\\t\\t\\tDouble [][] error = pmap.getErrors();\\n\\n\\t\\t\\tfor(int row = 0; row < error.length; row++){\\n\\t\\t\\t\\tfor(int col = 0; col < error[0].length; col++){\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tsum = 0.0;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tfor(int j = 0; j < weights.length; j++){\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tindex = i * error.length * error[0].length + row * error.length + col;\\n\\t\\t\\t\\t\\t\\tsum += weights[j][index]*err[j];\\n\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\terror[row][col] = sum;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\n\\t}\",\n \"protected void findWeights( double learning_rate, int iterations )\\n\\t{\\n\\t\\tdouble sum, error, o, delta;\\n\\t\\tint n = this.class_data.attribute_data.size();\\n\\t\\tAttribute temp;\\n\\n\\t\\tfor ( int i = 0; i < iterations; i++ )\\n\\t\\t{\\n\\t\\t\\tsum = 0;\\n\\t\\t\\tfor ( int j = 0; j < this.attribute_list.size(); j++ )\\n\\t\\t\\t{\\n\\t\\t\\t\\ttemp = this.attribute_list.get( j );\\n\\t\\t\\t\\tsum += temp.attribute_data.get( i % n ) * temp.getWeigth();\\t\\t//Sum of wi * xi\\n\\t\\t\\t}\\n\\n\\t\\t\\to = getSigmoidValue( sum );\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t//Get the value from sigmoid function\\n\\t\\t\\terror = this.class_data.attribute_data.get( i % n ) - o;\\t\\t//Find out the error\\n\\t\\t\\tdelta = learning_rate * error * o * (1.0 - o);\\t\\t\\t\\t\\t//Delta w\\n\\n\\t\\t\\tfor ( int j = 0; j < this.attribute_list.size(); j++ )\\n\\t\\t\\t\\tthis.attribute_list.get( j ).incrementWeigth( delta, i % n );\\t\\t//Update weights\\n\\t\\t}\\n\\t}\",\n \"public void gradientDescent(double[][] gradient, double eps) {\\n for (int i = 0; i < _weights.length; i++) {\\n for (int j = 0; j < _weights[0].length; j++) {\\n _weights[i][j] -= eps * gradient[i][j];\\n }\\n }\\n }\",\n \"double getLearningRate();\",\n \"private void adjustWeights(double activationValues[],Image image){\\n\\n for(int i=0;i<perceptrons.size();i++){\\n for(int j=0;j<4;j++) {\\n if ((j + 1) == image.getEmotion()) {\\n perceptrons.get(i).adjustWeight(j, learningValue\\n , 1, activationValues[j]\\n ,normalizeImageValue(image.getImage()[i]));\\n } else {\\n perceptrons.get(i).adjustWeight(j, learningValue\\n , 0, activationValues[j]\\n ,normalizeImageValue(image.getImage()[i]));\\n }\\n }\\n }\\n\\n }\",\n \"public void backProp(List<Integer> context, Integer nextWord, double alpha){\\n\\t\\t// TODO: implement backpropagation\\n\\t}\",\n \"public void receive(){\\n for (int i = 0; i < neurons.size(); i++){\\n neurons.get(i).calculateActivation();\\n }\\n }\",\n \"protected void trainModuleNN(ExperienceReplay<TransitionMemory> experienceReplay, T outputOfInterest,\\n\\t\\t\\tRelationManager<T> relMngr, int[] numHidden, int epochs, double lRate, double mRate, double sRate) {\\n\\n\\t\\tint outKey = getVectorKey(outputOfInterest);\\n\\t\\tint[] inKeys = getInKeys(outputOfInterest, relMngr);\\n\\t\\t\\n\\t\\tfor(int i = 0; i < epochs; i++) {\\n\\t\\t\\tIterator<TransitionMemory> iter = experienceReplay.getBatch().iterator();\\n\\t\\t\\tdouble inActivations[] = new double[inKeys.length];\\n//\\t\\t\\tdouble err = 0;\\n\\t\\t\\twhile (iter.hasNext()) {\\n\\t\\t\\t\\tTransitionMemory tm = iter.next();\\n\\t\\t\\t\\tdouble[] preStateAndAction = tm.getPreStateAndAction();\\n\\t\\t\\t\\tdouble[] postState = tm.getPostState();\\n\\t\\t\\t\\tint j = 0;\\n\\t\\t\\t\\tfor (int k : inKeys) inActivations[j++] = k >= 0 ? preStateAndAction[k] : 0;\\n\\t\\t\\t\\tif (neuralNet == null) neuralNet = new FFNeuralNetwork(ActivationFunction.SIGMOID0p5,\\n\\t\\t\\t\\t\\t\\tinActivations.length, 1, numHidden);\\n\\t\\t\\t\\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), inActivations);\\n\\t\\t\\t\\tFFNeuralNetwork.backPropagate(neuralNet.getOutputNodes(), lRate, mRate, sRate, postState[outKey]);\\n//\\t\\t\\t\\terr += FFNeuralNetwork.getError(new double[] {postState[outKey]}, neuralNet.getOutputNodes());\\n\\t\\t\\t}\\n//\\t\\t\\tSystem.out.println(i + \\\"\\t\\\" + err / experienceReplay.getSize());\\n\\t\\t}\\n//\\t\\tSystem.out.println();\\n\\t\\tif (rel2ModuleInput.isEmpty()) {\\n\\t\\t\\tArrayList<? extends Node> inputNodes = neuralNet.getInputNodes();\\n\\t\\t\\tint j = 0;\\n\\t\\t\\tfor (IndirectInput rel : relations) rel2ModuleInput.put(rel, inputNodes.get(j++));\\n\\t\\t}\\n\\t}\",\n \"public void train() throws Exception;\",\n \"public int feedforward(float[] inputs) {\\r\\n float sum = 0;\\r\\n for (int i = 0; i < weights.length; i++) {\\r\\n sum += inputs[i] * weights[i];\\r\\n }\\r\\n System.out.println(\\\"sum = \\\" + sum);\\r\\n return activate(sum);\\r\\n }\",\n \"private void learn() {\\n\\t\\tupdateValues();\\n\\t\\tif(CFG.isUpdatedPerformanceHistory()){\\n\\t\\t\\tupdateHistory();\\n\\t\\t}\\n\\t\\tif(CFG.isEvaluated()) evaluate();\\n\\t}\",\n \"public double loss() {\\n double L,l;\\n if (weightStrategy != 2) {\\n\\n L = reg * (U.squaredSum() + V.squaredSum());\\n for (int u = 0; u < userCount; u++) {\\n l = 0;\\n for (int i : trainMatrix.getRowRef(u).indexList()) {\\n double pred = predict(u, i);\\n l += W.getValue(u, i) * Math.pow(trainMatrix.getValue(u, i) - pred, 2);\\n l -= getNegWeight(i) * Math.pow(pred, 2);\\n }\\n l += SV.mult(U.row(u, false)).inner(U.row(u, false));\\n L += l;\\n }\\n\\n return L;\\n }\\n else {\\n L = reg * (U.squaredSum() + V.squaredSum());\\n for (int i = 0; i < itemCount; i++) {\\n l = 0;\\n for (int u : trainMatrix.getColRef(i).indexList()) {\\n double pred = predict(u, i);\\n l += W.getValue(u, i) * Math.pow(trainMatrix.getValue(u, i) - pred, 2);\\n l -= getNegWeight(u) * Math.pow(pred, 2);\\n }\\n l += SU.mult(V.row(i, false)).inner(V.row(i, false));\\n L += l;\\n }\\n\\n return L;\\n }\\n }\",\n \"public static void main( String[] args) {\\n\\t\\t// A NOTE ON INPUT OUTPUT PAIRS\\n\\t\\t// This class template uses 4 different sample sets of inputs and outputs.\\n\\t\\t// 2 of them are for use with the single Perceptron tutorial (1 with a single input and 1 with two inputs)\\n\\t\\t// the other 2 are for use with the Multilayer Network tutorial (1 with a single input and 1 with two inputs)\\n\\t\\t// Simply uncomment the data set you want to work with\\n\\t\\t// CAUTION: using the data sets intended for Multilayer Networks with a single Perceptron will not converge!\\n\\n// **** DATA SET 1: For use with a single Perceptron (single input: height)\\n\\t\\tfloat inputs[][] = { {170}, {190}, {165}, {180}, {210} };\\n\\t\\tfloat expectedOutputs[][] = { {0}, {1}, {0}, {0}, {1} }; \\n// **** DATA SET 2: For use with a single Perceptron (two inputs: height/weight)\\n//\\t\\tfloat inputs[][] = { {170,60}, {190,70}, {175,105}, {180,90}, {210,100} };\\n//\\t\\tfloat expectedOutputs[][] = { {1}, {1}, {0}, {0}, {1} }; \\n// **** DATA SET 3: For use with a Multilayer network (single input: height)\\n//\\t\\tfloat inputs[][] = { {170}, {190}, {165}, {180}, {210} };\\n//\\t\\tfloat expectedOutputs[][] = { {1}, {0}, {1}, {0}, {1} }; \\n// **** DATA SET 4: For use with a Multilayer network (two inputs: height/weight)\\n//\\t\\tfloat inputs[][] = { {170,60}, {190,70}, {175,105}, {180,90}, {210,100} };\\n//\\t\\tfloat expectedOutputs[][] = { {1}, {1}, {1}, {0}, {0} }; \\n\\t\\t\\n\\t\\t// the above input/output pairs are intended with the Petra matchmaking tutorials in-class\\n\\t\\t// if you want to try something simpler, try the following data sets approximating boolean operators\\n// **** AND gate: can be used with a single Perceptron\\n//\\t\\tfloat inputs[][] = { { 1, 1}, {1,0}, {0,1}, {0,0} };\\n//\\t\\tfloat expectedOutputs[][] = { {1}, {0}, {0}, {0} }; \\n// **** XOR gate: must be used with a Multilayer Network\\n//\\t\\tfloat inputs[][] = { { 1, 1}, {1,0}, {0,1}, {0,0} };\\n//\\t\\tfloat expectedOutputs[][] = { {0}, {1}, {1}, {0} }; \\n\\t\\t\\n\\t\\t\\n\\t\\tfloat output[];\\n\\t\\t\\n\\t\\t// Create neural network: CHANGE the network structure depending on the input/output and hidden layers\\n\\t\\t// Don't forget that the first integer in the layers array designates the number of inputs, \\n\\t\\t// while the second and following integers designate the number of neurons in that layer (hidden or output layers).\\n\\t\\tint layers[]={1,1};\\n\\t\\tNeuralNetwork neuralNet = new NeuralNetwork(layers);\\n\\t\\t\\n\\t\\t//Train neural network and print out to screen as we go along\\n\\t\\tfor(int i=0; i<1000; i++ ) {\\n\\t\\t System.out.println(\\\"##### EPOCH \\\" + Integer.toString( i ) );\\n\\t\\t for(int p=0; p<4; p++ ) {\\n\\t\\t\\t\\tSystem.out.print(\\\"INPUTS: \\\" );\\n\\t\\t\\t\\tfor( int x=0; x< layers[0]; x++ ) { System.out.print( Float.toString( inputs[p][x] ) + \\\" \\\" ); }\\n\\t\\t\\t\\tSystem.out.println(\\\"\\\");\\n\\t\\t\\t\\tneuralNet.setInput( inputs[p] );\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tneuralNet.activate();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\toutput = neuralNet.getOutput();\\n\\t\\t\\t\\tSystem.out.print(\\\"OUTPUTS: \\\" );\\n\\t\\t\\t\\tfor( int x=0; x< layers[1]; x++ ) { System.out.print( Float.toString( output[x] ) + \\\" \\\" ); }\\n\\t\\t\\t\\tSystem.out.println(\\\"\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tneuralNet.applyBackpropagation( expectedOutputs[p] );\\n\\t\\t\\t\\tSystem.out.print(\\\"EXPECTED OUTPUTS: \\\" );\\n\\t\\t\\t\\tfor( int x=0; x< layers[1]; x++ ) { System.out.print( Float.toString( expectedOutputs[p][x] ) + \\\" \\\" ); }\\n\\t\\t\\t\\tSystem.out.println(\\\"\\\");\\n\\t\\t }\\n\\t\\t}\\n }\",\n \"public void batchUpdateWeights() {\\n\\t\\tObject[] keys = nextLayerNodes.keySet().toArray();\\n\\t\\tfor (Object key : keys) {\\n\\t\\t\\tNode nextLayerNode = (Node) key;\\n\\t\\t\\t// System.out.printf(\\\"Updating weight from %f to %f%n\\\", nextLayerNodes.get(nextLayerNode), nextLayerNodesUpdateMap.get(nextLayerNode));\\n\\t\\t\\tdouble oldWeight = nextLayerNodes.get(nextLayerNode);\\n\\t\\t\\tnextLayerNodes.put(nextLayerNode, nextLayerNodesUpdateMap.get(nextLayerNode));\\n\\t\\t\\tdouble newWeight = nextLayerNodes.get(nextLayerNode);\\n\\t\\t\\tdouble deltaWeight = oldWeight-newWeight;\\n\\t\\t\\tSystem.out.printf(\\\"Changed from %f to %f%n\\\", oldWeight, newWeight);\\n\\t\\t\\tif (deltaWeight > 0.0) {\\n\\t\\t\\t\\tif (nextLayerNodesArrayList.get(0).nextLayerNodes.size() == 0) {\\n\\t\\t\\t\\t\\tSystem.out.print(\\\"Hidden Node connected to output layer \\\");\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tSystem.out.print(\\\"Node connected to another hidden layer \\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tSystem.out.printf (\\\"Increased!! Delta weight = %.10f%n\\\", deltaWeight);\\n\\t\\t\\t} else if (deltaWeight < 0.0) {\\n\\t\\t\\t\\tif (nextLayerNodesArrayList.get(0).nextLayerNodes.size() == 0) {\\n\\t\\t\\t\\t\\tSystem.out.print(\\\"Hidden Node connected to output layer \\\");\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tSystem.out.print(\\\"Node connected to another hidden layer \\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tSystem.out.printf(\\\"Decreased!! Delta weight = %.10f%n\\\", deltaWeight);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public void calculateOutput() {\\n inputSum = 0.0;\\n //for output (linear) neuron\\n if (layer == 0) {\\n for (int i = 0; i < inputs; ++i) {\\n inputSum += weights[i] * network.getInput()[i];\\n }\\n }\\n //for Sigmoidal neurons\\n else {\\n for(int i = 0; i < inputs; ++i) {\\n inputSum += weights[i] * network.getNeurons()[layer - 1][i].output;\\n }\\n }\\n if (enableConstAddend) {\\n inputSum += weights[inputs];\\n }\\n output = activate(inputSum);\\n }\",\n \"private void gradientDecent(double[][] X, double[] y){\\n double[] h = matrix.sigmoid(matrix.multiply(X,Theta));\\n double[] cp = costPrime(X,h,y);\\n\\n double scp = 0;\\n for(double i: cp){\\n scp = scp + i;\\n }\\n System.out.println(+ cost(h,y));\\n // Average Cost\\n scp = round(scp/h.length,5);\\n System.out.println(scp);\\n int j = 0;\\n\\n // while Average Cost is not 0\\n while(scp > 0.00001){\\n Theta = matrix.subtract(Theta,matrix.multiply(alpha,cp));\\n h = matrix.sigmoid(matrix.multiply(X,Theta));\\n cp = costPrime(X,h,y);\\n double sum = 0;\\n for(double i: cp){\\n sum = sum + i;\\n }\\n scp = round(sum/h.length,5);\\n System.out.println(scp);\\n }\\n }\",\n \"private void forwardCalculation(double[] recordInputs) {\\n\\t\\t\\tfor (int j = 0; j < numberOfInputs; j++) {\\n\\t\\t\\t\\tinput[j] = recordInputs[j];\\n\\t\\t\\t}\\n\\t\\t\\n\\t\\t// for each hidden node\\n\\t\\tfor (int i = 0; i < numberOfMiddle; i++) {\\n\\t\\t\\tdouble sum = 0;\\n\\n\\t\\t\\t// compute input at hidden node\\n\\t\\t\\tfor (int j = 0; j < numberOfInputs; j++) {\\n\\t\\t\\t\\tsum += input[j] * matrixMiddle[j][i];\\n\\t\\t\\t}\\n\\n\\t\\t\\t// add theta\\n\\t\\t\\tsum += thetaMiddle[i];\\n\\n\\t\\t\\t// compute output at hidden node\\n\\t\\t\\tmiddle[i] = 1 / (1 + Math.exp(-sum));\\n\\n\\t\\t}\\n\\n\\t\\t// for each output node\\n\\t\\tfor (int i = 0; i < numberOfOutputs; i++) {\\n\\t\\t\\tdouble sum = 0;\\n\\n\\t\\t\\t// compute input at output node\\n\\t\\t\\tfor (int j = 0; j < numberOfMiddle; j++) {\\n\\t\\t\\t\\tsum += middle[j] * matrixOutput[j][i];\\n\\t\\t\\t}\\n\\n\\t\\t\\t// add theta\\n\\t\\t\\tsum += thetaOutput[i];\\n\\n\\t\\t\\t// compute output at output node\\n\\t\\t\\toutput[i] = 1 / (1 + Math.exp(-sum));\\n\\t\\t}\\n\\t}\",\n \"public BackPropagationNeural_3H(int size_in,int size_hidden1,int size_hidden2,int size_hidden3,int size_output){\\n\\t\\tthis.size_in = size_in;\\n\\t\\tthis.size_hidden1 = size_hidden1;\\n\\t\\tthis.size_hidden2 = size_hidden2;\\n\\t\\tthis.size_hidden3 = size_hidden3;\\n\\t\\tthis.size_output = size_output;\\n\\t\\t\\n\\t\\tinputs = new float[size_in];\\n\\t\\thidden1 = new float[size_hidden1];\\n\\t\\thidden2 = new float[size_hidden2];\\n\\t\\thidden3 = new float[size_hidden3];\\n\\t\\toutput = new float[size_output];\\n\\t\\t\\n\\t\\tweight1 = new float[size_in][size_hidden1];\\n\\t\\tweight2 = new float[size_hidden1][size_hidden2];\\n\\t\\tweight3 = new float[size_hidden2][size_hidden3];\\n\\t\\tweight4 = new float[size_hidden3][size_output];\\n\\t\\t\\n\\t\\tW1_last_delta = new float[size_in][size_hidden1];\\n W2_last_delta = new float[size_hidden1][size_hidden2];\\n W3_last_delta = new float[size_hidden2][size_hidden3];\\n W4_last_delta = new float[size_hidden3][size_output];\\n \\n\\t\\trandomizeWeights();\\n\\t\\toutput_error = new float[size_output];\\n\\t\\thidden1_error = new float[size_hidden1];\\n\\t\\thidden2_error = new float[size_hidden2];\\n\\t\\thidden3_error = new float[size_hidden3];\\n\\t}\",\n \"public void trainingPreprocessing() {\\n neuralNetAndDataSet = new NeuralNetAndDataSet(neuralNetwork, trainingSet);\\n trainingController = new TrainingController(neuralNetAndDataSet);\\n neuralNetwork.getLearningRule().addListener(this);\\n trainingController.setLmsParams(0.7, 0.01, 0);\\n LMS learningRule = (LMS) this.neuralNetAndDataSet.getNetwork().getLearningRule();\\n if (learningRule instanceof MomentumBackpropagation) {\\n ((MomentumBackpropagation) learningRule).setMomentum(0.2);\\n }\\n }\",\n \"private void calculateUpdates(\\n BSPPeer<LongWritable, FloatVectorWritable, NullWritable, NullWritable, ParameterMessage> peer)\\n throws IOException {\\n // receive update information from master\\n if (peer.getNumCurrentMessages() != 0) {\\n ParameterMessage inMessage = peer.getCurrentMessage();\\n FloatMatrix[] newWeights = inMessage.getCurMatrices();\\n FloatMatrix[] preWeightUpdates = inMessage.getPrevMatrices();\\n this.inMemoryModel.setWeightMatrices(newWeights);\\n this.inMemoryModel.setPrevWeightMatrices(preWeightUpdates);\\n this.isConverge = inMessage.isConverge();\\n // check converge\\n if (isConverge) {\\n return;\\n }\\n }\\n\\n FloatMatrix[] weightUpdates = new FloatMatrix[this.inMemoryModel.getSizeOfWeightmatrix()];\\n int matrixIdx = 0;\\n for (List<FloatMatrix> aWeightMatrixList: this.inMemoryModel.weightMatrixLists) {\\n for (FloatMatrix aWeightMatrix : aWeightMatrixList) {\\n weightUpdates[matrixIdx++] = new DenseFloatMatrix(\\n aWeightMatrix.getRowCount(), aWeightMatrix.getColumnCount());\\n }\\n }\\n\\n // continue to train\\n float avgTrainingError = 0.0f;\\n for (int recordsRead = 0; recordsRead < batchSize; ++recordsRead) {\\n FloatVector trainingInstance = getRandomInstance();\\n RecurrentLayeredNeuralNetwork.matricesAdd(\\n weightUpdates, this.inMemoryModel.trainByInstance(trainingInstance));\\n avgTrainingError += this.inMemoryModel.trainingError;\\n }\\n avgTrainingError /= batchSize;\\n\\n // calculate the average of updates\\n for (int i = 0; i < weightUpdates.length; ++i) {\\n weightUpdates[i] = weightUpdates[i].divide(batchSize);\\n }\\n\\n FloatMatrix[] prevWeightUpdates = this.inMemoryModel\\n .getPrevMatricesUpdates();\\n ParameterMessage outMessage = new ParameterMessage(avgTrainingError, false,\\n weightUpdates, prevWeightUpdates);\\n\\n peer.send(peer.getPeerName(peer.getNumPeers() - 1), outMessage);\\n }\",\n \"public void train() {\\n\\n int w;\\n double sum = 0, avg;\\n double forecast;\\n double[][] trainMatrix = new double[trainPoints][2];\\n double[][] valMatrix = new double[validationPoints][2];\\n actual = observations.toArray();\\n\\n for (int i = 0; i < step * slices; i++)\\n sum += actual[i];\\n\\n avg = sum / slices;\\n\\n for (int pos = 0; pos < trainPoints; pos++) {\\n sum = 0;\\n w = 0;\\n\\n if (pos >= step * slices) {\\n for (int k = pos - step * slices; k < pos; k += step)\\n sum += actual[k] * weights[w++];\\n forecast = sum / slices;\\n } else forecast = avg;\\n\\n trainMatrix[pos][0] = actual[pos];\\n trainMatrix[pos][1] = forecast;\\n }\\n\\n for (int pos = actual.length - validationPoints, j = 0; pos < actual.length; pos++) {\\n sum = 0;\\n w = 0;\\n for (int k = pos - step * slices; k < pos; k += step)\\n sum += actual[k] * weights[w++];\\n forecast = sum / slices;\\n valMatrix[j][0] = actual[pos];\\n valMatrix[j][1] = forecast;\\n j++;\\n }\\n double biasness = BiasnessHandler.handleOffset(valMatrix);\\n accuracyIndicators.setBias(biasness);\\n ModelUtil.computeAccuracyIndicators(accuracyIndicators, trainMatrix, valMatrix, dof);\\n errorBound = ErrorBoundsHandler.computeErrorBoundInterval(trainMatrix);\\n }\",\n \"@Override\\n /**\\n * @param X The input vector. An array of doubles.\\n * @return The value returned by th LUT or NN for this input vector\\n */\\n\\n public double outputFor(double[] X) {\\n int i = 0, j = 0;\\n for(i=0;i<argNumInputs;i++){\\n S[0][i] = X[i];\\n NeuronCell[0][i] = X[i];\\n }\\n //then add the bias term\\n S[0][argNumInputs] = 1;\\n NeuronCell[0][argNumInputs] = customSigmoid(S[0][argNumInputs]);\\n S[1][argNumHidden] = 1;\\n NeuronCell[1][argNumHidden] = customSigmoid(S[1][argNumInputs]);\\n\\n for(i=0;i<argNumHidden;i++){\\n for(j=0;j<=argNumInputs;j++){\\n //Wji : weigth from j to i\\n WeightSum+=NeuronCell[0][j]*Weight[0][j][i];\\n }\\n //Sj = sigma(Wji * Xi)\\n S[1][i]=WeightSum;\\n NeuronCell[1][i]=(customSigmoid(WeightSum));\\n //reset weigthsum\\n WeightSum=0;\\n }\\n\\n for(i = 0; i < argNumOutputs; i++){\\n for(j = 0;j <= argNumHidden;j++){\\n WeightSum += NeuronCell[1][j] * Weight[1][j][i];\\n }\\n NeuronCell[2][i]=customSigmoid(WeightSum);\\n S[2][i]=WeightSum;\\n WeightSum=0;\\n }\\n //if we only return 1 double, it means we only have one output, so actually we can write return NeuronCell[2][0]\\n return NeuronCell[2][0];\\n }\",\n \"public static Weights getNewWeights(Ball b, Example e, Batch batch, double learnRate) {\\n weights.clear();\\n Object o = b.getLast();\\n\\n for (GroundKappa gk: GroundKappaGetter.getAllGroundKappas(b)) {\\n backpropLines(o, gk, b, e, batch, learnRate);\\n }\\n return weights;\\n }\",\n \"public void train() {\\n while (!environment.inTerminalState()) {\\n\\n Action action = policy.chooseAction(environment);\\n List<Double> stateAction = environment.getStateAction(action);\\n\\n double knownReward = environment.immediateReward(action);\\n double totalReward = environment.performAction(action);\\n double unknownReward = totalReward - knownReward;\\n\\n // Next state of environment is implicitly passed.\\n backup(stateAction, unknownReward);\\n }\\n }\",\n \"public interface Layer {\\n /**\\n * @return The number of neurons, excluding bias neurons and context neurons. This is the number of neurons that\\n * are directly fed from elsewhere.\\n */\\n int getCount();\\n\\n /**\\n * @return The number of neurons, including bias neurons and context neurons.\\n */\\n int getTotalCount();\\n\\n /**\\n * @return The activation/transfer function for this neuron.\\n */\\n ActivationFunction getActivation();\\n\\n /**\\n * Finalize the structure of this layer.\\n * @param theOwner The neural network that owns this layer.\\n * @param theLayerIndex The zero-based index of this layer.\\n * @param counts The counts structure to track the weight and neuron counts.\\n */\\n void finalizeStructure(BasicNetwork theOwner, int theLayerIndex,\\n TempStructureCounts counts);\\n\\n /**\\n * Compute this layer.\\n */\\n void computeLayer();\\n\\n /**\\n * Compute the gradients for this layer.\\n * @param calc The gradient calculation utility.\\n */\\n void computeGradient(GradientCalc calc);\\n\\n /**\\n * @return The start of this layer's weights in the weight vector.\\n */\\n int getWeightIndex();\\n\\n /**\\n * @return The start of this layer's neurons in the neuron vector.\\n */\\n int getNeuronIndex();\\n\\n /**\\n * Notification that a training batch is beginning.\\n * @param rnd A random number generator, from the trainer.\\n */\\n void trainingBatch(GenerateRandom rnd);\\n\\n /**\\n * @return The owner of the neural network.\\n */\\n BasicNetwork getOwner();\\n\\n /**\\n * @return True if this neuron has bias.\\n */\\n boolean hasBias();\\n}\",\n \"@Override\\r\\n\\tpublic DataContainer forwardProp(DataContainer forwardPropData, boolean training) {\\n\\t\\tMat input = forwardPropData.getVec(); \\r\\n\\t\\t\\r\\n\\t\\tif (!set) {\\r\\n\\t\\t\\tinputWeight = Mat.randomMatrix(input.size[1] + 1, fout, - 0.3, 0.3); \\r\\n\\t\\t\\tset = true; \\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tMat inputBiased = (input).appendRight(new Mat(1,1,1)); \\r\\n\\t\\tMat output = inputBiased.mul(inputWeight); \\r\\n\\t\\tif (training) {\\r\\n\\t\\t\\tlastInputBiased = inputBiased; \\r\\n\\t\\t}\\r\\n\\t\\telse {\\r\\n\\t\\t\\tlastInputBiased = null; \\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn new DataContainer(output); \\r\\n\\t}\",\n \"protected BackpropNeuron createNeuron(int layer, int index)\\n\\t{\\n\\t\\tif( layer == 0 )\\n\\t\\t\\treturn new InputBackpropNeuron(this, this.activationFunction, this.learningRate);\\n\\t\\telse if(layer >= (this.getLayerCount() - 1))\\n\\t\\t\\treturn new OutputBackpropNeuron(this, this.activationFunction, this.learningRate);\\n\\t\\telse\\n\\t\\t\\treturn new BackpropNeuron(this, this.activationFunction, this.learningRate);\\n\\t}\",\n \"@Override\\n public void train() {\\n actual = observations.toArray();\\n min_val_error = Double.MAX_VALUE;\\n if (findDecayConstant)\\n for (float alpha = 0f; alpha <= 1f; alpha += 0.01f)\\n initializeAndTrainModel(alpha);\\n else\\n initializeAndTrainModel(optAlpha);\\n }\",\n \"@Test\\n public void testAccumulateGradients() {\\n // TODO: MXNet support for accumulating gradients does not currently work\\n TestUtils.requiresNotEngine(\\\"MXNet\\\");\\n try (NDManager manager = NDManager.newBaseManager(TestUtils.getEngine())) {\\n NDArray a = manager.create(0.0f);\\n a.setRequiresGradient(true);\\n\\n Engine engine = Engine.getEngine(TestUtils.getEngine());\\n try (GradientCollector gc = engine.newGradientCollector()) {\\n for (int i = 1; i <= 3; i++) {\\n NDArray b = a.mul(2);\\n gc.backward(b);\\n Assert.assertEquals(a.getGradient().getFloat(), 2.0f * i);\\n }\\n }\\n }\\n }\",\n \"NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Random random, Double[][] hiddenWeights, Double[][] outputWeights) {\\r\\n this.trainingSet = trainingSet;\\r\\n this.learningRate = learningRate;\\r\\n this.maxEpoch = maxEpoch;\\r\\n this.random = random;\\r\\n\\r\\n //input layer nodes\\r\\n inputNodes = new ArrayList<>();\\r\\n int inputNodeCount = trainingSet.get(0).attributes.size();\\r\\n int outputNodeCount = trainingSet.get(0).classValues.size();\\r\\n for (int i = 0; i < inputNodeCount; i++) {\\r\\n Node node = new Node(0);\\r\\n inputNodes.add(node);\\r\\n }\\r\\n\\r\\n //bias node from input layer to hidden\\r\\n Node biasToHidden = new Node(1);\\r\\n inputNodes.add(biasToHidden);\\r\\n\\r\\n //hidden layer nodes\\r\\n hiddenNodes = new ArrayList<>();\\r\\n for (int i = 0; i < hiddenNodeCount; i++) {\\r\\n Node node = new Node(2);\\r\\n //Connecting hidden layer nodes with input layer nodes\\r\\n for (int j = 0; j < inputNodes.size(); j++) {\\r\\n NodeWeightPair nwp = new NodeWeightPair(inputNodes.get(j), hiddenWeights[i][j]);\\r\\n node.parents.add(nwp);\\r\\n }\\r\\n hiddenNodes.add(node);\\r\\n }\\r\\n\\r\\n //bias node from hidden layer to output\\r\\n Node biasToOutput = new Node(3);\\r\\n hiddenNodes.add(biasToOutput);\\r\\n\\r\\n //Output node layer\\r\\n outputNodes = new ArrayList<>();\\r\\n for (int i = 0; i < outputNodeCount; i++) {\\r\\n Node node = new Node(4);\\r\\n //Connecting output layer nodes with hidden layer nodes\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n NodeWeightPair nwp = new NodeWeightPair(hiddenNodes.get(j), outputWeights[i][j]);\\r\\n node.parents.add(nwp);\\r\\n }\\r\\n outputNodes.add(node);\\r\\n }\\r\\n }\",\n \"@Override\\n\\tpublic void trainLocal() throws Exception {\\n\\t\\tdouble [][] input = parameters.getInput();\\n\\t\\tdouble [][] result = ann.getResults(parameters);\\n\\t\\tif (state == preTraining) {//in this case, it is running in the pre-training mode.\\n\\t\\t\\tinput = newInput;\\n\\t\\t\\tresult = newInput;\\n\\t\\t}\\n\\t\\terr = 0; \\n\\t\\tfor (int i = 0; i < mb; i++) {\\t\\n\\t\\t\\tif (pos > input.length - 1) {\\n\\t\\t\\t\\tpos = 0;\\n\\t\\t\\t}\\n\\t\\t\\terr = err + ann.runEpoch(input[pos], pos, result[pos], parameters);\\n\\t\\t\\tpos++;\\n\\t\\t}\\n\\t}\",\n \"abstract public LinkedList<Vertex> betaReduction();\",\n \"public void performTraining() {\\n\\tint counter = 0;\\n\\tint success = 0;\\n\\n\\tdo {\\n\\t success = 0;\\n\\n\\t for (int ii = 0; ii < pl.size(); ii++) {\\n\\t\\tPattern pn = pl.get(ii);\\n\\t\\tbp.runNetwork(pn);\\n\\t\\tbp.trainNetwork(pn);\\n\\n\\t\\tdouble truth[] = pn.getOutput();\\t\\t\\n\\t\\tdouble results[] = bp.getOutputPattern();\\n\\n\\t\\tboolean failed = false;\\n\\n// \\t\\tSystem.out.print(\\\"patt \\\" + ii + \\\" \\\");\\n// \\t\\tdouble[] input = pn.getInput();\\n// for (int jj = 0; jj < input.length; jj++) {\\n// \\t\\t System.out.print(round2(input[jj]) + \\\" \\\");\\n// \\t\\t}\\n// \\t\\tSystem.out.print(\\\"// \\\");\\n// for (int jj = 0; jj < truth.length; jj++) {\\n// \\t\\t System.out.print(round2(truth[jj]) + \\\" \\\");\\n// \\t\\t}\\n// \\t\\tSystem.out.println();\\n\\n// for (int jj = 0; jj < results.length; jj++) {\\n// \\t\\t System.out.print(results[jj] + \\\" \\\");\\n// \\t\\t // System.out.print(round2(results[jj]) + \\\" \\\");\\n// \\t\\t}\\n// \\t\\tSystem.out.println();\\n\\t\\t\\n\\t\\tfor (int jj = 0; jj < results.length; jj++) {\\n if (round1(results[jj]) != round2(truth[jj])) {\\n failed = true;\\n }\\n\\t\\t}\\n \\n if (!failed) {\\n ++success;\\n } \\n }\\n\\n\\t if ((++counter % 100) == 0) {\\n System.out.println(counter + \\\" success:\\\" + success + \\\" needed:\\\" + pl.size());\\n }\\n } while (success < pl.size());\\n\\t\\n\\tSystem.out.println(\\\"Training complete in \\\" + counter + \\\" cycles\\\");\\n }\",\n \"protected void trainModuleNN(Map<DiscreteState, Double> out1f, int[] numHidden,\\n\\t\\t\\tint epochs, double lRate, double mRate, double sRate) {\\n\\t\\tfor(int i = 0; i < epochs; i++) {\\n//\\t\\t\\tdouble err = 0;\\n\\t\\t\\tfor (Map.Entry<DiscreteState, Double> entry : out1f.entrySet()) {\\n\\t\\t\\t\\tdouble[] input = entry.getKey().getRawState();\\n\\t\\t\\t\\tif (neuralNet == null) neuralNet = new FFNeuralNetwork(ActivationFunction.SIGMOID0p5,\\n\\t\\t\\t\\t\\t\\tinput.length, 1, numHidden);\\n\\t\\t\\t\\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), input);\\n\\t\\t\\t\\tFFNeuralNetwork.backPropagate(neuralNet.getOutputNodes(), lRate, mRate, sRate, entry.getValue());\\n//\\t\\t\\t\\terr += FFNeuralNetwork.getError(new double[] {entry.getValue()}, neuralNet.getOutputNodes());\\n\\t\\t\\t}\\n//\\t\\t\\tSystem.out.println(i + \\\"\\t\\\" + err / out1f.size());\\n\\t\\t}\\n//\\t\\tfor (Map.Entry<DiscreteState, Double> entry : out1f.entrySet()) {\\n//\\t\\t\\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), entry.getKey().getRawState());\\n//\\t\\t\\tSystem.out.println(entry.getValue() + \\\"\\tvs\\t\\\" + neuralNet.getOutputNodes().get(0).getActivation());\\n//\\t\\t}\\n\\t\\tif (rel2ModuleInput.isEmpty()) {\\n\\t\\t\\tArrayList<? extends Node> inputNodes = neuralNet.getInputNodes();\\n\\t\\t\\tint j = 0;\\n\\t\\t\\tfor (IndirectInput rel : relations) rel2ModuleInput.put(rel, inputNodes.get(j++));\\n\\t\\t}\\n\\t}\",\n \"private float predictPrueba(float features) {\\n float n_epochs = num_epoch;\\n float num1 = (float) Math.random();\\n float output = 0; //y\\n\\n //First, create an input tensor:\\n /*\\n\\n */\\n\\n\\n //**** TEORIA *******\\n //First, create an input tensor:\\n //Tensor input = Tensor.create(features);\\n // float[][] output = new float[1][1];\\n //Then perform inference by:\\n //Tensor op_tensor = sess.runner().feed(\\\"input\\\", input).fetch(\\\"output\\\").run().get(0).expect(Float.class);\\n //Copy this output to a float array using:\\n //op_tensor.copyTo(output);\\n // values.copyTo(output);\\n Tensor input = Tensor.create(features);\\n Tensor op_tensor = sess.runner().feed(\\\"input\\\",input).fetch(\\\"output\\\").run().get(0).expect(Float.class);\\n //para escribir en la app en W y B test\\n ArrayList<Tensor<?>> values = (ArrayList<Tensor<?>>) sess.runner().fetch(\\\"W/read\\\").fetch(\\\"b/read\\\").run();\\n // NO VA ESTA PRUEBA ArrayList<Tensor<?>> values = (ArrayList<Tensor<?>>) sess.runner().fetch(\\\"W/read\\\").fetch(\\\"b/read\\\").fetch(\\\"y/output\\\").run();\\n\\n Wtest.setText(\\\"W_inicial: \\\"+(Float.toString(values.get(0).floatValue())));\\n Btest.setText(\\\"b_inicial: \\\"+Float.toString(values.get(1).floatValue()));\\n y_mejoras_w.add(((values.get(0).floatValue())));\\n x_mejoras_w.add( \\\"\\\"+(0+ num_epoch*num));\\n\\n y_mejoras_b.add(((values.get(1).floatValue())));\\n x_mejoras_b.add( \\\"\\\"+(0+ num_epoch*num));\\n\\n ///\\n\\n // Y.setText(Float.toString(values.get(1).floatValue()));\\n\\n return output; ///mal\\n }\",\n \"public void activate() {\\n double dotProduct = 0;\\n for (Synapse s : super.getSynapsesIn()) {\\n dotProduct += s.getNeuronFrom().getOutput() * s.getWeight();\\n }\\n super.setOutput(sigmoidFunction(dotProduct));\\n }\",\n \"@Override\\r\\n\\tpublic DataContainer backProp(DataContainer backPropError, double learningRate) {\\n\\t\\tif (lastInputBiased == null) {\\r\\n\\t\\t\\tthrow new RuntimeException(\\\"Invalid operation\\\"); \\r\\n\\t\\t}\\r\\n\\t\\tMat error = backPropError.getVec(); \\r\\n\\t\\t\\r\\n\\t\\tMat dW = lastInputBiased.T().mul(error).scale(learningRate); \\r\\n\\t\\t\\r\\n\\t\\tMat temp = error.mul(inputWeight.T()); \\r\\n Mat output = new Mat(temp.size[0], temp.size[1] - 1); \\r\\n for (int i = 0; i < output.size[1]; i++) {\\r\\n \\toutput.matrix[0][i] = temp.matrix[0][i]; \\r\\n }\\r\\n \\r\\n\\t\\tinputWeight = inputWeight.add(dW); \\r\\n\\t\\t\\r\\n\\t\\treturn new DataContainer(output); \\r\\n\\t}\",\n \"public void initWeights(){\\n setNextLayer(network.getNextLayer(layerNumber));\\n //determine the number of neurons in the next layer\\n int neuronNextLayer = next.neuronCount;\\n //create arrays for backpopagation learning\\n createArr();\\n //set the weightThreshold\\n weightThreshold = new double[neuronCount+1][neuronNextLayer];\\n //System.out.println(\\\"weightThreshold row:\\\"+weightThreshold.length+\\\" col:\\\"+weightThreshold[0].length);\\n //randomize all the elements. range is between -.5 and .5\\n for(int i=0; i<weightThreshold.length; i++){\\n for(int j=0; j<weightThreshold[i].length; j++){\\n weightThreshold[i][j] = getRandomNumber();\\n }\\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7627533","0.74327075","0.7182869","0.71628666","0.7161495","0.7138183","0.71071607","0.7082817","0.6893169","0.68013674","0.67822766","0.675799","0.6735338","0.6700753","0.6628661","0.6562031","0.6548895","0.6504053","0.64978826","0.6400047","0.6373461","0.63364375","0.63155866","0.63103896","0.6301848","0.62682694","0.6253182","0.6246744","0.6230596","0.61816144","0.61737084","0.61726654","0.6156799","0.6142952","0.6139029","0.61350846","0.6122288","0.6114588","0.61137164","0.6087588","0.6074177","0.6042321","0.5992749","0.59825367","0.59395605","0.59370255","0.5913743","0.59008855","0.5885886","0.5876089","0.5866071","0.5863071","0.5856394","0.58549726","0.5819138","0.58189887","0.5816702","0.5816229","0.5810056","0.58097285","0.5797443","0.57967764","0.5760177","0.5759174","0.57493323","0.5744593","0.5733268","0.5726884","0.5726631","0.57252026","0.5711653","0.5708792","0.57083714","0.57053673","0.57031745","0.56870556","0.56773967","0.5667486","0.5658009","0.56579375","0.5632991","0.5623855","0.5617599","0.56010056","0.5595436","0.5570571","0.5556115","0.5552158","0.5544561","0.5543672","0.55329263","0.5530121","0.5513098","0.5508163","0.550702","0.5485636","0.5475252","0.5474283","0.5458929","0.5458889"],"string":"[\n \"0.7627533\",\n \"0.74327075\",\n \"0.7182869\",\n \"0.71628666\",\n \"0.7161495\",\n \"0.7138183\",\n \"0.71071607\",\n \"0.7082817\",\n \"0.6893169\",\n \"0.68013674\",\n \"0.67822766\",\n \"0.675799\",\n \"0.6735338\",\n \"0.6700753\",\n \"0.6628661\",\n \"0.6562031\",\n \"0.6548895\",\n \"0.6504053\",\n \"0.64978826\",\n \"0.6400047\",\n \"0.6373461\",\n \"0.63364375\",\n \"0.63155866\",\n \"0.63103896\",\n \"0.6301848\",\n \"0.62682694\",\n \"0.6253182\",\n \"0.6246744\",\n \"0.6230596\",\n \"0.61816144\",\n \"0.61737084\",\n \"0.61726654\",\n \"0.6156799\",\n \"0.6142952\",\n \"0.6139029\",\n \"0.61350846\",\n \"0.6122288\",\n \"0.6114588\",\n \"0.61137164\",\n \"0.6087588\",\n \"0.6074177\",\n \"0.6042321\",\n \"0.5992749\",\n \"0.59825367\",\n \"0.59395605\",\n \"0.59370255\",\n \"0.5913743\",\n \"0.59008855\",\n \"0.5885886\",\n \"0.5876089\",\n \"0.5866071\",\n \"0.5863071\",\n \"0.5856394\",\n \"0.58549726\",\n \"0.5819138\",\n \"0.58189887\",\n \"0.5816702\",\n \"0.5816229\",\n \"0.5810056\",\n \"0.58097285\",\n \"0.5797443\",\n \"0.57967764\",\n \"0.5760177\",\n \"0.5759174\",\n \"0.57493323\",\n \"0.5744593\",\n \"0.5733268\",\n \"0.5726884\",\n \"0.5726631\",\n \"0.57252026\",\n \"0.5711653\",\n \"0.5708792\",\n \"0.57083714\",\n \"0.57053673\",\n \"0.57031745\",\n \"0.56870556\",\n \"0.56773967\",\n \"0.5667486\",\n \"0.5658009\",\n \"0.56579375\",\n \"0.5632991\",\n \"0.5623855\",\n \"0.5617599\",\n \"0.56010056\",\n \"0.5595436\",\n \"0.5570571\",\n \"0.5556115\",\n \"0.5552158\",\n \"0.5544561\",\n \"0.5543672\",\n \"0.55329263\",\n \"0.5530121\",\n \"0.5513098\",\n \"0.5508163\",\n \"0.550702\",\n \"0.5485636\",\n \"0.5475252\",\n \"0.5474283\",\n \"0.5458929\",\n \"0.5458889\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.64564174"},"document_rank":{"kind":"string","value":"19"}}},{"rowIdx":32577,"cells":{"query":{"kind":"string","value":"/ Should be the activations hiddenLayer, activations outputLayer (using activations hiddenLayer)"},"document":{"kind":"string","value":"private void forwardPropagation(int[] trainingData, double[] activationsOfHiddenLayer, double[] outputActivations) {\n\t\tdouble[] hiddenActivations = new double[SIZE_HIDDEN_LAYER];\n\n\t\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\n\t\t\thiddenActivations[indexHidden] = 0;\n\t\t\tfor(int indexInput = 0; indexInput < SIZE_INPUT_LAYER; indexInput++) {\n\t\t\t\thiddenActivations[indexHidden] += weightsOfHiddenLayer[indexHidden][indexInput] * trainingData[indexInput];\n\t\t\t}\t\n\t\t\thiddenActivations[indexHidden] += biasOfHiddenLayer[indexHidden];\n//\t\t\t// We then call the activation function \n\t\t\thiddenActivations[indexHidden] = tanh(hiddenActivations[indexHidden]);\n\t\t\tactivationsOfHiddenLayer[indexHidden] = hiddenActivations[indexHidden];\n\n\t\t}\n\t\t\t\t\n\t\tfor(int indexOuput = 0; indexOuput < SIZE_OUTPUT_LAYER; indexOuput++) {\n\t\t\toutputActivations[indexOuput] = 0;\n\t\t\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden ++) {\n\t\t\t\toutputActivations[indexOuput] += weightsOfOutputLayer[indexOuput][indexHidden] * hiddenActivations[indexHidden];\n\t\t\t}\t\n\t\t\toutputActivations[indexOuput] += biasOfOutputLayer[indexOuput];\n\t\t}\n\t\tsoftmax(outputActivations);\t\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public void initLayers() {\n\t\t/* Initialise the weights */\n\t Random rng = new Random(1);\n double distributeRandom = 1.0 / SIZE_INPUT_LAYER;\n\t\tweightsOfHiddenLayer = new double[SIZE_HIDDEN_LAYER][SIZE_INPUT_LAYER]; \n\t\tweightsOfOutputLayer = new double[SIZE_OUTPUT_LAYER][SIZE_HIDDEN_LAYER]; \n\t\t/* Initialise the biases */\n\t\tbiasOfHiddenLayer = new double[SIZE_HIDDEN_LAYER];\n\t\tbiasOfOutputLayer = new double[SIZE_OUTPUT_LAYER];\t\t\n\t\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\n\t\t\tfor(int j = 0; j < SIZE_INPUT_LAYER; j++) {\n\t\t\t\tweightsOfHiddenLayer[i][j] = rng.nextDouble() * (distributeRandom - (-distributeRandom)) + (-distributeRandom);\n\t\t\t}\n\t\t}\n\t\tfor(int i = 0; i < SIZE_OUTPUT_LAYER; i++) {\n\t\t\tfor(int j = 0; j < SIZE_HIDDEN_LAYER; j++) {\n\t\t\t\tweightsOfOutputLayer[i][j] = rng.nextDouble() * (distributeRandom - (-distributeRandom)) + (-distributeRandom);\n\t\t\t}\n\t\t}\n\t}","private void createHiddenLayer() {\r\n\t\tint layers = 1;\r\n\t\t\r\n\t\tint hiddenLayerSize = 0; \r\n\t\tint prevLayerSize = numAttributes;\r\n\t\t\r\n\t\tfor (int layer = 0; layer < layers; layer++) {\r\n\t\t\thiddenLayerSize = (numAttributes + numClasses) / 2;\r\n\t\t\t\r\n\t\t\tfor (int nob = 0; nob < hiddenLayerSize; nob++) {\r\n\t\t\t\tInnerNode temp = new InnerNode(String.valueOf(nextId), random);\r\n\t\t\t\tnextId++;\r\n\t\t\t\taddNode(temp);\r\n\t\t\t\tif (layer > 0) {\r\n\t\t\t\t\t// then do connections\r\n\t\t\t\t\tfor (int noc = innerNodes.size() - nob - 1 - prevLayerSize; noc < innerNodes.size() - nob - 1; noc++) {\r\n\t\t\t\t\t\tNeuralNode.connect(innerNodes.get(noc), temp);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\tprevLayerSize = hiddenLayerSize;\r\n\t\t}\r\n\r\n\t\tif (hiddenLayerSize == 0) {\r\n\t\t\tfor (InputNode input : inputs) {\r\n\t\t\t\tfor (NeuralNode node : innerNodes) {\r\n\t\t\t\t\tNeuralNode.connect(input, node);\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t} else {\r\n\t\t\tfor (NeuralNode input : inputs) {\r\n\t\t\t\tfor (int nob = numClasses; nob < numClasses + hiddenLayerSize; nob++) {\r\n\t\t\t\t\tNeuralNode.connect(input, innerNodes.get(nob));\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tfor (int noa = innerNodes.size() - prevLayerSize; noa < innerNodes.size(); noa++) {\r\n\t\t\t\tfor (int nob = 0; nob < numClasses; nob++) {\r\n\t\t\t\t\tNeuralNode.connect(innerNodes.get(noa), innerNodes.get(nob));\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t}","private void backwardPropagation(int[] trainingData, int[] trainingLabel, double[] outputActivations, double[] hiddenActiv) {\n\t\tdouble[] delta = new double[SIZE_OUTPUT_LAYER];\n\t\t// Update OutputLayer weights\n\t\tfor(int indexOutput = 0; indexOutput < SIZE_OUTPUT_LAYER; indexOutput++) {\n\t\t\t// We define delta as the difference between the real label and the softmax probability\n\t\t\tdelta[indexOutput] = trainingLabel[indexOutput] - outputActivations[indexOutput];\n\n\t\t\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\n\t\t\t\tweightsOfOutputLayer[indexOutput][indexHidden] += learningRate * delta[indexOutput] * hiddenActiv[indexHidden] / datasetSize;\n\t\t\t}\t\n\t\t\tbiasOfOutputLayer[indexOutput] += learningRate * delta[indexOutput] / datasetSize;\n\t\t}\t\n\t\t// Create delta2 \n\t\tdouble[] delta2 = new double[SIZE_HIDDEN_LAYER];\n\t\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\n\t\t\tdelta2[i] = 0;\n\t\t\tfor(int j = 0; j < SIZE_OUTPUT_LAYER; j++) {\n\t\t\t\t// Why is it multiplying the weights for delta1?\n\t\t\t\tdelta2[i] += delta[j] * weightsOfOutputLayer[j][i];\n\t\t\t}\n\t\t\tdelta2[i] *= dtanh(hiddenActiv[i]);\n\t\t}\n\t\t// Update HiddenLayer weights\n\t\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\n\t\t\tfor(int j = 0; j < SIZE_INPUT_LAYER; j++) {\n weightsOfHiddenLayer[i][j] += learningRate * delta2[i] * (double)trainingData[j] / datasetSize;\n\t\t\t}\n biasOfHiddenLayer[i] += learningRate * delta2[i] / datasetSize;\n\t\t}\t\n\t}","public interface Layer {\n /**\n * @return The number of neurons, excluding bias neurons and context neurons. This is the number of neurons that\n * are directly fed from elsewhere.\n */\n int getCount();\n\n /**\n * @return The number of neurons, including bias neurons and context neurons.\n */\n int getTotalCount();\n\n /**\n * @return The activation/transfer function for this neuron.\n */\n ActivationFunction getActivation();\n\n /**\n * Finalize the structure of this layer.\n * @param theOwner The neural network that owns this layer.\n * @param theLayerIndex The zero-based index of this layer.\n * @param counts The counts structure to track the weight and neuron counts.\n */\n void finalizeStructure(BasicNetwork theOwner, int theLayerIndex,\n TempStructureCounts counts);\n\n /**\n * Compute this layer.\n */\n void computeLayer();\n\n /**\n * Compute the gradients for this layer.\n * @param calc The gradient calculation utility.\n */\n void computeGradient(GradientCalc calc);\n\n /**\n * @return The start of this layer's weights in the weight vector.\n */\n int getWeightIndex();\n\n /**\n * @return The start of this layer's neurons in the neuron vector.\n */\n int getNeuronIndex();\n\n /**\n * Notification that a training batch is beginning.\n * @param rnd A random number generator, from the trainer.\n */\n void trainingBatch(GenerateRandom rnd);\n\n /**\n * @return The owner of the neural network.\n */\n BasicNetwork getOwner();\n\n /**\n * @return True if this neuron has bias.\n */\n boolean hasBias();\n}","public void calculateDesireHiddenLayerActivation(int dataIndex) {\r\n for (int i = 0; i < hiddenLayer.length; i++) {\r\n double count = 0;\r\n for (int j = 0; j < outputLayer.length; j++) {\r\n count += -2*((attribute[dataIndex] == i ? 1 : 0) - sigmoid(outputLayer[j].z))*sigmoidDeri(outputLayer[j].z)*outputLayer[j].dw[i];\r\n }\r\n desireHiddenLayerActivation[i] = hiddenLayer[i].a - count / outputLayer.length;\r\n }\r\n }","public void activate() {\t\t\n\t\t// Put activation code here (computing output based on the network's inputs)\n }","public ElmanNeuralNetwork(Neuron output, List<Neuron> inputLayer, List<List<Neuron>> hiddenLayers, DoubleUnaryOperator activationFunction) {\n\t\tsuper(output, inputLayer, hiddenLayers, activationFunction);\n\t}","public boolean isActiveLayerVisible() {\n\t\treturn false;\n\t}","public void calculateOutput() {\n inputSum = 0.0;\n //for output (linear) neuron\n if (layer == 0) {\n for (int i = 0; i < inputs; ++i) {\n inputSum += weights[i] * network.getInput()[i];\n }\n }\n //for Sigmoidal neurons\n else {\n for(int i = 0; i < inputs; ++i) {\n inputSum += weights[i] * network.getNeurons()[layer - 1][i].output;\n }\n }\n if (enableConstAddend) {\n inputSum += weights[inputs];\n }\n output = activate(inputSum);\n }","private List<Matrix> buildSamplesFromActivatedHiddenLayers(final List<Matrix> sampleData, final int layer, RBMLayer[] rbmLayers) {\n final RBMLayer rbmLayer = rbmLayers[layer];\n\n if(layer == 0) {\n return sampleData;\n }\n else {\n final RBMLayer previousLayer = rbmLayers[layer - 1];\n Matrix[] previousLayerOutputs = new Matrix[previousLayer.size()];\n for(int r = 0; r < previousLayer.size(); r++) {\n final RBM rbm = previousLayer.getRBM(r);\n previousLayerOutputs[r] = this.contrastiveDivergence.runVisible(rbm, sampleData.get(r));\n }\n // combine all outputs off hidden layer, then re-split them to input into the next visual layer\n return DenseMatrix.make(Matrix.concatColumns(previousLayerOutputs)).splitColumns(rbmLayer.size());\n }\n }","public void activate() {\n double dotProduct = 0;\n for (Synapse s : super.getSynapsesIn()) {\n dotProduct += s.getNeuronFrom().getOutput() * s.getWeight();\n }\n super.setOutput(sigmoidFunction(dotProduct));\n }","public void train(double[] inputs, double[] outputsTarget) {\n assert(outputsTarget.length == weights.get(weights.size() - 1).length);\n \n ArrayList<double[]> layersOutputs = new ArrayList<double[]>(); \n classify(inputs, layersOutputs);\n\n // Calculate sensitivities for the output nodes\n int outputNeuronCount = this.weights.get(this.weights.size() - 1).length;\n double[] nextLayerSensitivities = new double[outputNeuronCount];\n assert(layersOutputs.get(layersOutputs.size() - 1).length == outputNeuronCount);\n for (int i = 0; i < outputNeuronCount; i++) {\n nextLayerSensitivities[i] = calculateErrorPartialDerivitive(\n layersOutputs.get(layersOutputs.size() - 1)[i],\n outputsTarget[i]\n ) * calculateActivationDerivitive(layersOutputs.get(layersOutputs.size() - 1)[i]);\n assert(!Double.isNaN(nextLayerSensitivities[i]));\n }\n\n for (int weightsIndex = this.weights.size() - 1; weightsIndex >= 0; weightsIndex--) {\n int previousLayerNeuronCount = this.weights.get(weightsIndex)[0].length;\n int nextLayerNeuronCount = this.weights.get(weightsIndex).length;\n assert(nextLayerSensitivities.length == nextLayerNeuronCount);\n\n double[] previousLayerOutputs = layersOutputs.get(weightsIndex);\n double[] previousLayerSensitivities = new double[previousLayerNeuronCount];\n\n // Iterate over neurons in the previous layer\n for (int j = 0; j < previousLayerNeuronCount; j++) {\n\n // Calculate the sensitivity of this node\n double sensitivity = 0;\n for (int i = 0; i < nextLayerNeuronCount; i++) {\n sensitivity += nextLayerSensitivities[i] * this.weights.get(weightsIndex)[i][j];\n }\n sensitivity *= calculateActivationDerivitive(previousLayerOutputs[j]);\n assert(!Double.isNaN(sensitivity));\n previousLayerSensitivities[j] = sensitivity;\n\n for (int i = 0; i < nextLayerNeuronCount; i++) {\n double weightDelta = learningRate * nextLayerSensitivities[i] * calculateActivation(previousLayerOutputs[j]);\n this.weights.get(weightsIndex)[i][j] += weightDelta;\n assert(!Double.isNaN(this.weights.get(weightsIndex)[i][j]) && !Double.isInfinite(this.weights.get(weightsIndex)[i][j]));\n }\n }\n\n nextLayerSensitivities = previousLayerSensitivities;\n }\n }","float activate(float[] input) {\n if (inputLayer.length != input.length) throw new IllegalArgumentException(\"input.length and inputLayer.length do not match\");\n\n System.arraycopy(input, 0, inputLayer, 0, inputLayer.length);\n\n // Calculate the output\n process();\n\n return outputLayer;\n }","public void chooseBiasValue() {\r\n \r\n if (biasMode.charAt(0) == 't')\r\n {\r\n for (int i=0; i < hiddenLayerContainer.getHiddenLayerContainer().size(); i++){\r\n hiddenLayerContainer.getHiddenLayerContainer().get(i).setBiasActive(true);\r\n }\r\n outputLayer.setBiasActive(true);\r\n }\r\n }","public interface MultiLayerModel extends ReadOnlyModel {\n\n /**\n * filters image based on operation given.\n *\n * @param img the image\n * @param multiplier the number of times to filter\n * @param operation operation to do\n * @return array of pixels\n */\n List<List<Pixel>> filter(Image img, int multiplier, String operation);\n\n /**\n * transforms image based on operation given.\n *\n * @param img the image\n * @param operation operation to do\n * @return array of pixels\n */\n List<List<Pixel>> transform(Image img, String operation);\n\n /**\n * creates a layer in the model.\n */\n Layer createLayer();\n\n /**\n * A method used to set the given image.\n *\n * @param image the image\n * @param layer the layer\n */\n void setImage(Layer layer, Image image);\n\n /**\n * A method meant to determine the visibility of the layer, determined by the user; is true unless\n * the user specifies that the layer should be invisible.\n *\n * @param visibility the visibility\n * @param layer the layer\n */\n void setVisibility(Layer layer, boolean visibility);\n\n\n /**\n * Adds a layer to this model.\n *\n * @param whichLayer where to add layer\n * @param layer the layer\n */\n\n void addLayer(Layer layer, int whichLayer);\n\n\n /**\n * Creates an image from a pixelArray.\n *\n * @param pixelArray the array\n * @return the created Image\n */\n Image createImage(List<List<Pixel>> pixelArray);\n\n\n /**\n * Removes a layer from this model.\n *\n * @param whichLayer the layer to remove\n */\n void removeLayer(int whichLayer);\n\n\n /**\n * Determines if the layers all have same dimensions.\n *\n * @param layers the layers\n * @return the boolean true or false\n */\n boolean sameDimensions(List<Layer> layers);\n\n /**\n * Determines if the pixelArray as equal dimensions.\n *\n * @param pixelArray the pixelArray\n * @return the boolean true or false\n */\n boolean equalPixelArrayDim(List<List<Pixel>> pixelArray);\n\n /**\n * Gets top most visible layer.\n *\n * @return the top most visible layer\n */\n Layer getTopMostVisible();\n\n\n}","private void updateHiddenLayersErrors() {\r\n\t\t// Back iterate hidden layers\r\n\t\tList<Layer> layers = getNetwork().getLayers();\r\n\t\tfor (int i = layers.size() - 2; i > 0; i--) {\r\n\t\t\tLayer layer = layers.get(i);\r\n\t\t\t// Iterate the neurons of the layer\r\n\t\t\tList<Neuron> neurons = layer.getNeurons();\r\n\t\t\tfor (Neuron neuron : neurons) {\r\n\t\t\t\t// Do update.\r\n\t\t\t\tupdateHiddenLayersErrors(neuron);\r\n\t\t\t}\r\n\t\t}\r\n\t}","boolean isOutputNeuron();","private double[] getNextLayer(double[] prevLayer, double[][] weights, double[] biases) {\n double[] output = new double[weights.length];\n for (int i = 0; i < output.length; i++) {\n // Runs for each output node.\n double outputI = 0.0;\n for (int j = 0; j < weights[i].length; j++) {\n // Runs for each input node connected to that output node.\n outputI += weights[i][j] * prevLayer[j];\n }\n outputI += biases[i];\n output[i] = sigmoid(outputI);\n }\n return output;\n }","public void testConvolution() {\n ConvolutionLayer cl1 = new ConvolutionLayer(28, 28, 32, 5, 1, 1, ActivationFunction.RELU);\r\n cl1.setName(\"Conv1\");\r\n PoolLayer pl1 = new PoolLayer(28, 28, 32, 2, 2, 1);\r\n pl1.setName(\"Pool1\");\r\n ConvolutionLayer cl2 = new ConvolutionLayer(14, 14, 32, 64, 5, 1, 1, ActivationFunction.LEAKYRELU);\r\n cl2.setName(\"Conv2\");\r\n PoolLayer pl2 = new PoolLayer(14, 14, 64, 2, 2, 1);\r\n pl2.setName(\"Pool2\");\r\n Layer full = new Layer(pl2.getNrOfOutputs(), 1, 10, ActivationFunction.CESIGMOID);\r\n full.setName(\"full\");\r\n full.setDropRate(.3f);\r\n\r\n DeepLayer dl = new DeepLayer(new LearningRateConst(LEARNING_RATE), cl1, pl1, cl2, pl2, full);\r\n dl.setCostFunction(new CrossEntropyCostFunction());\r\n\r\n BinImageReader bir = new BinImageReader(\"/data/train-images.idx3-ubyte.bin\");\r\n fmatrix images = bir.getResult();\r\n System.out.println(images.getSizeAsString());\r\n\r\n BinLabelReader blr = new BinLabelReader(\"/data/train-labels.idx1-ubyte.bin\");\r\n fmatrix trainSetLabels = blr.getResult();\r\n System.out.println(trainSetLabels.getSizeAsString());\r\n\r\n Random r = new Random(System.currentTimeMillis());\r\n dl.randomizeWeights(r, -.1f, .1f);\r\n\r\n int maxImage = images.getNrOfColumns();\r\n fmatrix image = new fmatrix(1, images.getNrOfColumns());\r\n fmatrix target = new fmatrix(1, 10);\r\n\r\n System.out.println(image.getSizeAsString());\r\n String weightFolder = \"weights/\" + dl.getTrainingStartTimeAsFolder();\r\n for (int i = 0; i < TRAIN_ITERATIONS; ++i) {\r\n target.reset();\r\n for (int b = 0; b < 1; ++b) {\r\n int nextImage = r.nextInt(maxImage);\r\n images.getRow(nextImage, b, image);\r\n\r\n int digit = (int) trainSetLabels.get(0, nextImage);\r\n target.set(b, digit, 1);\r\n }\r\n dl.train(i, image, target, TrainingMode.BATCH);\r\n// if (i == 0) {\r\n// dl.writeOutputImages();\r\n// }\r\n if (i % BATCH_SIZE == 0) {\r\n dl.adaptWeights(i, BATCH_SIZE);\r\n }\r\n\r\n if (i % WEIGHT_DEBUG_CYCLE == 0) {\r\n dl.writeWeightImages(weightFolder, i);\r\n }\r\n }\r\n\r\n dl.writeWeightImages(weightFolder, TRAIN_ITERATIONS);\r\n testDigitRecognition(dl, 1, r);\r\n }","private void filterResultLayers() {\n\n\t\tif (this.modifyNewLayerName) {\n\t\t\treturn;\n\t\t}\n\n\t\tloadComboWithLayerList(comboTargetLayer, ParameterName.TARGET_GEOMETRY_CLASS);\n\t\tloadResultLayersGeometry();\n\t\trestoreSelectedTargetLayer();\n\t}","public void adjust(double learningRate, boolean layer){\r\n //Layer false == adjust hiddenLayer\r\n //Layer true == adjust outputLayer\r\n if (layer) {\r\n for (int i = 0; i < outputLayer.length; i++) {\r\n for (int j = 0; j < outputLayer[i].weights.length; j++) {\r\n outputLayer[i].weights[j] -= learningRate*outputLayer[i].dw[j];\r\n }\r\n outputLayer[i].bias -= learningRate*outputLayer[i].db;\r\n }\r\n } else {\r\n for (int i = 0; i < hiddenLayer.length; i++) {\r\n for (int j = 0; j < hiddenLayer[i].weights.length; j++) {\r\n hiddenLayer[i].weights[j] -= learningRate*hiddenLayer[i].dw[j];\r\n }\r\n hiddenLayer[i].bias -= learningRate*hiddenLayer[i].db;\r\n }\r\n }\r\n }","public static MultiLayerNetwork alexnetModel(Integer numLabels) {\n\n double nonZeroBias = 1;\n double dropOut = 0.5;\n\n MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder()\n .seed(seed)\n .weightInit(WeightInit.DISTRIBUTION)\n .dist(new NormalDistribution(0.0, 0.01))\n .activation(Activation.RELU)\n .updater(new Nesterovs(new StepSchedule(ScheduleType.ITERATION, 1e-2, 0.1, 100000), 0.9))\n .biasUpdater(new Nesterovs(new StepSchedule(ScheduleType.ITERATION, 2e-2, 0.1, 100000), 0.9))\n .gradientNormalization(GradientNormalization.RenormalizeL2PerLayer) // normalize to prevent vanishing or exploding gradients\n .l2(5 * 1e-4)\n .list()\n .layer(0, convInit(\"cnn1\", channels, 96, new int[]{11, 11}, new int[]{4, 4}, new int[]{3, 3}, 0))\n .layer(1, new LocalResponseNormalization.Builder().name(\"lrn1\").build())\n .layer(2, maxPool(\"maxpool1\", new int[]{3, 3}))\n .layer(3, conv5x5(\"cnn2\", 256, new int[]{1, 1}, new int[]{2, 2}, nonZeroBias))\n .layer(4, new LocalResponseNormalization.Builder().name(\"lrn2\").build())\n .layer(5, maxPool(\"maxpool2\", new int[]{3, 3}))\n .layer(6, conv3x3(\"cnn3\", 384, 0))\n .layer(7, conv3x3(\"cnn4\", 384, nonZeroBias))\n .layer(8, conv3x3(\"cnn5\", 256, nonZeroBias))\n .layer(9, maxPool(\"maxpool3\", new int[]{3, 3}))\n .layer(10, fullyConnected(\"ffn1\", 4096, nonZeroBias, dropOut, new GaussianDistribution(0, 0.005)))\n .layer(11, fullyConnected(\"ffn2\", 4096, nonZeroBias, dropOut, new GaussianDistribution(0, 0.005)))\n .layer(12, new OutputLayer.Builder(LossFunctions.LossFunction.NEGATIVELOGLIKELIHOOD)\n .name(\"output\")\n .nOut(numLabels)\n .activation(Activation.SOFTMAX)\n .build())\n .backprop(true)\n .pretrain(false)\n .setInputType(InputType.convolutional(height, width, channels))\n .build();\n\n return new MultiLayerNetwork(conf);\n\n }","public Layer getActiveLayer() {\n\t\treturn null;\n\t}","public void testConvolution2() {\n ConvolutionLayer cl1 = new ConvolutionLayer(28, 28, 32, 5, 1, 1,ActivationFunction.LEAKYRELU);\r\n cl1.setName(\"Conv1\");\r\n PoolLayer pl1 = new PoolLayer(28, 28, 32, 2, 2,1);\r\n pl1.setName(\"Pool1\");\r\n\r\n FuzzyficationLayer fl = new FuzzyficationLayer(pl1.getNrOfOutputs(), 10, 1);\r\n\r\n Layer full = new Layer(fl.getNrOfOutputs(), 0, 10, ActivationFunction.CESIGMOID);\r\n full.setName(\"full\");\r\n full.setDropRate(.003f);\r\n\r\n DeepLayer dl = new DeepLayer(new LearningRateConst(LEARNING_RATE), cl1, pl1, fl, full);\r\n dl.setCostFunction(new CrossEntropyCostFunction());\r\n\r\n BinImageReader bir = new BinImageReader(\"/data/train-images.idx3-ubyte.bin\");\r\n fmatrix images = bir.getResult();\r\n System.out.println(images.getSizeAsString());\r\n\r\n BinLabelReader blr = new BinLabelReader(\"/data/train-labels.idx1-ubyte.bin\");\r\n fmatrix trainSetLabels = blr.getResult();\r\n System.out.println(trainSetLabels.getSizeAsString());\r\n\r\n Random r = new Random(System.currentTimeMillis());\r\n dl.randomizeWeights(r, -.1f, .1f);\r\n\r\n int maxImage = images.getNrOfColumns();\r\n fmatrix image = new fmatrix(1, images.getNrOfColumns());\r\n fmatrix target = new fmatrix(1, 10);\r\n\r\n System.out.println(image.getSizeAsString());\r\n String weightFolder = \"weights/\" + dl.getTrainingStartTimeAsFolder();\r\n for (int i = 0; i < TRAIN_ITERATIONS; ++i) {\r\n target.reset();\r\n for (int b = 0; b < 1; ++b) {\r\n int nextImage = r.nextInt(maxImage);\r\n images.getRow(nextImage, b, image);\r\n\r\n int digit = (int) trainSetLabels.get(0, nextImage);\r\n target.set(b, digit, 1);\r\n }\r\n dl.train(i, image, target, TrainingMode.BATCH);\r\n// if (i == 0) {\r\n// dl.writeOutputImages();\r\n// }\r\n if (i % BATCH_SIZE == 0) {\r\n dl.adaptWeights(i, BATCH_SIZE);\r\n }\r\n\r\n if (i % WEIGHT_DEBUG_CYCLE == 0) {\r\n dl.writeWeightImages(weightFolder, i);\r\n }\r\n }\r\n dl.writeWeightImages(weightFolder, TRAIN_ITERATIONS);\r\n\r\n DeepLayerWriter dlw = new DeepLayerWriter();\r\n Path export = Paths.get(System.getProperty(\"user.home\"), \".nn\", weightFolder, \"final.nn\");\r\n dlw.writeDeepLayer(export, dl);\r\n testDigitRecognition(dl, 1, r);\r\n }","private void createOutputLayer(Instances instances) throws Exception {\r\n\t\toutputs.clear();\r\n\t\tfor (int classIndex = 0; classIndex < numClasses; classIndex++) {\r\n\t\t\tString name;\r\n\t\t\tif (configuration.isNumeric()) {\r\n\t\t\t\tname = instances.classAttribute().name();\r\n\t\t\t} else {\r\n\t\t\t\tname = instances.classAttribute().value(classIndex);\r\n\t\t\t}\r\n\t\t\tOutputNode output = new OutputNode(name, classIndex, configuration);\r\n\t\t\t\r\n\t\t\tInnerNode temp = new InnerNode(String.valueOf(nextId), random);\r\n\t\t\tnextId++;\r\n\t\t\taddNode(temp);\r\n\t\t\tNeuralNode.connect(temp, output);\r\n\t\t\t\r\n\t\t\toutputs.add(output);\r\n\t\t}\r\n\r\n\t}","public NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Double [][]hiddenWeights, Double[] outputWeights)\r\n\t{\r\n\t\tthis.trainingSet=trainingSet;\r\n\t\tthis.learningRate=learningRate;\r\n\t\tthis.maxEpoch=maxEpoch;\r\n\r\n\t\t//input layer nodes\r\n\t\tinputNodes=new ArrayList<Node>();\r\n\t\tint inputNodeCount=trainingSet.get(0).attributes.size();\r\n\t\tint outputNodeCount=1;\r\n\t\tfor(int i=0;i<inputNodeCount;i++)\r\n\t\t{\r\n\t\t\tNode node=new Node(0);\r\n\t\t\tinputNodes.add(node);\r\n\t\t}\r\n\r\n\t\t//bias node from input layer to hidden\r\n\t\tNode biasToHidden=new Node(1);\r\n\t\tinputNodes.add(biasToHidden);\r\n\r\n\t\t//hidden layer nodes\r\n\t\thiddenNodes=new ArrayList<Node> ();\r\n\t\tfor(int i=0;i<hiddenNodeCount;i++)\r\n\t\t{\r\n\t\t\tNode node=new Node(2);\r\n\t\t\t//Connecting hidden layer nodes with input layer nodes\r\n\t\t\tfor(int j=0;j<inputNodes.size();j++)\r\n\t\t\t{\r\n\t\t\t\tNodeWeightPair nwp=new NodeWeightPair(inputNodes.get(j),hiddenWeights[i][j]);\r\n\t\t\t\tnode.parents.add(nwp);\r\n\t\t\t}\r\n\t\t\thiddenNodes.add(node);\r\n\t\t}\r\n\r\n\t\t//bias node from hidden layer to output\r\n\t\tNode biasToOutput=new Node(3);\r\n\t\thiddenNodes.add(biasToOutput);\r\n\r\n\r\n\r\n\t\tNode node=new Node(4);\r\n\t\t//Connecting output node with hidden layer nodes\r\n\t\tfor(int j=0;j<hiddenNodes.size();j++)\r\n\t\t{\r\n\t\t\tNodeWeightPair nwp=new NodeWeightPair(hiddenNodes.get(j), outputWeights[j]);\r\n\t\t\tnode.parents.add(nwp);\r\n\t\t}\t\r\n\t\toutputNode = node;\r\n\r\n\t}","private void updateLayers() {\n AktieCubeLayer aktieCubeLayer;\n AktieCubeShape[] shapes;\n int i, j, k;\n\n // up layer\n aktieCubeLayer = mAktieCubeLayers[kUp];\n shapes = aktieCubeLayer.mShapes;\n for (i = 0; i < 9; i++)\n shapes[i] = mAktieCubes[mPermutation[i]];\n\n // down layer\n aktieCubeLayer = mAktieCubeLayers[kDown];\n shapes = aktieCubeLayer.mShapes;\n for (i = 18, k = 0; i < 27; i++)\n shapes[k++] = mAktieCubes[mPermutation[i]];\n\n // left layer\n aktieCubeLayer = mAktieCubeLayers[kLeft];\n shapes = aktieCubeLayer.mShapes;\n for (i = 0, k = 0; i < 27; i += 9)\n for (j = 0; j < 9; j += 3)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n\n // right layer\n aktieCubeLayer = mAktieCubeLayers[kRight];\n shapes = aktieCubeLayer.mShapes;\n for (i = 2, k = 0; i < 27; i += 9)\n for (j = 0; j < 9; j += 3)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n\n // front layer\n aktieCubeLayer = mAktieCubeLayers[kFront];\n shapes = aktieCubeLayer.mShapes;\n for (i = 6, k = 0; i < 27; i += 9)\n for (j = 0; j < 3; j++)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n\n // back layer\n aktieCubeLayer = mAktieCubeLayers[kBack];\n shapes = aktieCubeLayer.mShapes;\n for (i = 0, k = 0; i < 27; i += 9)\n for (j = 0; j < 3; j++)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n\n // middle layer\n aktieCubeLayer = mAktieCubeLayers[kMiddle];\n shapes = aktieCubeLayer.mShapes;\n for (i = 1, k = 0; i < 27; i += 9)\n for (j = 0; j < 9; j += 3)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n\n // equator layer\n aktieCubeLayer = mAktieCubeLayers[kEquator];\n shapes = aktieCubeLayer.mShapes;\n for (i = 9, k = 0; i < 18; i++)\n shapes[k++] = mAktieCubes[mPermutation[i]];\n\n // side layer\n aktieCubeLayer = mAktieCubeLayers[kSide];\n shapes = aktieCubeLayer.mShapes;\n for (i = 3, k = 0; i < 27; i += 9)\n for (j = 0; j < 3; j++)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n }","public NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Double [][]hiddenWeights, Double[][] outputWeights)\r\n\t{\r\n\t\tthis.trainingSet=trainingSet;\r\n\t\tthis.learningRate=learningRate;\r\n\t\tthis.maxEpoch=maxEpoch;\r\n\r\n\t\t//input layer nodes\r\n\t\tinputNodes=new ArrayList<Node>();\r\n\t\tint inputNodeCount=trainingSet.get(0).attributes.size();\r\n\t\tint outputNodeCount=trainingSet.get(0).classValues.size();\r\n\t\tfor(int i=0;i<inputNodeCount;i++)\r\n\t\t{\r\n\t\t\tNode node=new Node(0);\r\n\t\t\tinputNodes.add(node);\r\n\t\t}\r\n\r\n\t\t//bias node from input layer to hidden\r\n\t\tNode biasToHidden=new Node(1);\r\n\t\tinputNodes.add(biasToHidden);\r\n\r\n\t\t//hidden layer nodes\r\n\t\thiddenNodes=new ArrayList<Node> ();\r\n\t\tfor(int i=0;i<hiddenNodeCount;i++)\r\n\t\t{\r\n\t\t\tNode node=new Node(2);\r\n\t\t\t//Connecting hidden layer nodes with input layer nodes\r\n\t\t\tfor(int j=0;j<inputNodes.size();j++)\r\n\t\t\t{\r\n\t\t\t\tNodeWeightPair nwp=new NodeWeightPair(inputNodes.get(j),hiddenWeights[i][j]);\r\n\t\t\t\tnode.parents.add(nwp);\r\n\t\t\t}\r\n\t\t\thiddenNodes.add(node);\r\n\t\t}\r\n\r\n\t\t//bias node from hidden layer to output\r\n\t\tNode biasToOutput=new Node(3);\r\n\t\thiddenNodes.add(biasToOutput);\r\n\r\n\t\t//Output node layer\r\n\t\toutputNodes=new ArrayList<Node> ();\r\n\t\tfor(int i=0;i<outputNodeCount;i++)\r\n\t\t{\r\n\t\t\tNode node=new Node(4);\r\n\t\t\t//Connecting output layer nodes with hidden layer nodes\r\n\t\t\tfor(int j=0;j<hiddenNodes.size();j++)\r\n\t\t\t{\r\n\t\t\t\tNodeWeightPair nwp=new NodeWeightPair(hiddenNodes.get(j), outputWeights[i][j]);\r\n\t\t\t\tnode.parents.add(nwp);\r\n\t\t\t}\t\r\n\t\t\toutputNodes.add(node);\r\n\t\t}\t\r\n\t}","public static void main(String[] args) {\n\t\tfinal int input1 = 1;\r\n\t\tfinal int input2 = 1;\r\n\t\t\r\n\t\t// One output in layer 3\r\n\t\tdouble targetOutput = 0;\r\n\t\t\r\n\t\t// Input to Hidden (IH) weights\r\n\t\tdouble IH1 = 0.8;\r\n\t\tdouble IH2 = 0.4;\r\n\t\tdouble IH3 = 0.3;\r\n\t\tdouble IH4 = 0.2;\r\n\t\tdouble IH5 = 0.9;\r\n\t\tdouble IH6 = 0.5;\r\n\t\t\r\n\t\t// second iteration of weights: Hidden to Output (HO) weights\r\n\t\tdouble HO1 = 0.3;\r\n\t\tdouble HO2 = 0.5;\r\n\t\tdouble HO3 = 0.9;\r\n\t\t\r\n\t\t// initialization\r\n\t\tdouble weightedSum1;\r\n\t\tdouble weightedSum2;\r\n\t\tdouble weightedSum3;\r\n\t\t\r\n\t\tdouble hiddenOutput1;\r\n\t\tdouble hiddenOutput2;\r\n\t\tdouble hiddenOutput3;\r\n\t\t\r\n\t\tdouble calculatedOutput;\r\n\t\t\r\n\t\tdouble secondWeightedSum;\r\n\t\t\r\n\t\tdouble outputSumError;\r\n\t\t\r\n\t\tdouble deltaSum;\r\n\t\t\r\n\t\tdouble deltaHO1;\r\n\t\tdouble deltaHO2;\r\n\t\tdouble deltaHO3;\r\n\t\t\r\n\t\tdouble deltaIH1;\r\n\t\tdouble deltaIH2;\r\n\t\tdouble deltaIH3;\r\n\t\tdouble deltaIH4;\r\n\t\tdouble deltaIH5;\r\n\t\tdouble deltaIH6;\r\n\t\t\r\n\t\tfor (int i=0;i<10000;i++){\r\n\t\t\t// Three inputs in layer 2 (hidden layer)\r\n\t\t\tweightedSum1 = input1*IH1+input2*IH4;\r\n\t\t\tweightedSum2 = input1*IH2+input2*IH5;\r\n\t\t\tweightedSum3 = input1*IH3+input2*IH6;\r\n\t\t\t\r\n\t\t\t// weighted sums converted into probabilities by sigmoid\r\n\t\t\thiddenOutput1 = sigmoid(weightedSum1);\r\n\t\t\thiddenOutput2 = sigmoid(weightedSum2);\r\n\t\t\thiddenOutput3 = sigmoid(weightedSum3);\r\n\t\t\t// second iteration of weighted sum\r\n\t\t\tsecondWeightedSum = hiddenOutput1*HO1+hiddenOutput2*HO2+hiddenOutput3*HO3;\r\n\t\t\t\r\n\t\t\t// applying sigmoid on secondWeightedSum to get calculatedOutput\r\n\t\t\tcalculatedOutput = sigmoid(secondWeightedSum);\r\n\t\t\tSystem.out.println(calculatedOutput);\r\n\t\t\t// Back Propagation \r\n\t\t\t\r\n\t\t\t//output sum error = target output - calculated output\r\n\t\t\toutputSumError = targetOutput - calculatedOutput;\r\n\t\t\t\r\n\t\t\t// delta sum = S'(sum)*outputSumError \r\n\t\t\tdeltaSum = sigmoidPrime(secondWeightedSum)*outputSumError;\r\n\t\t\t\t\r\n\t\t/* deltaIHWeights (1,2,3 are equal to 4,5,6 respectively \r\n\t\t because input1 and input2 are both 1) */\r\n\t\tdeltaIH1 = deltaSum / HO1 * sigmoidPrime(weightedSum1);\r\n\t\tdeltaIH2 = deltaSum / HO2 * sigmoidPrime(weightedSum2);\r\n\t\tdeltaIH3 = deltaSum / HO3 * sigmoidPrime(weightedSum3);\r\n\t\tdeltaIH4 = deltaSum / HO1 * sigmoidPrime(weightedSum1);\r\n\t\tdeltaIH5 = deltaSum / HO2 * sigmoidPrime(weightedSum2);\r\n\t\tdeltaIH6 = deltaSum / HO3 * sigmoidPrime(weightedSum3);\r\n\t\t\r\n\t\t// deltaHOWeights\r\n\t\tdeltaHO1 = deltaSum / hiddenOutput1;\r\n\t\tdeltaHO2 = deltaSum / hiddenOutput2;\r\n\t\tdeltaHO3 = deltaSum / hiddenOutput3;\r\n\t\t\r\n\t\t// Modifying Old Weights \r\n\t\t\r\n\t\t// modifying IH weights\r\n\t\tIH1 += deltaIH1;\r\n\t\tIH2 += deltaIH2;\r\n\t\tIH3 += deltaIH3;\r\n\t\tIH4 += deltaIH4;\r\n\t\tIH5 += deltaIH5;\r\n\t\tIH6 += deltaIH6;\r\n\t\t\r\n\t\t// modifying HO weights\r\n\t\tHO1 += deltaHO1;\r\n\t\tHO2 += deltaHO2;\r\n\t\tHO3 += deltaHO3;\r\n\t\t\r\n\t\t}\r\n\t}","public Trainer(double[][] data, double[] attribute, int hiddenLayerNodeCount, int outputLayerNodeCount){\r\n this.data = data;\r\n this.attribute = attribute;\r\n hiddenLayer = new Node[hiddenLayerNodeCount];\r\n outputLayer = new Node[outputLayerNodeCount];\r\n activation = new double[hiddenLayerNodeCount];\r\n desireHiddenLayerActivation = new double[hiddenLayerNodeCount];\r\n for (int i = 0; i < hiddenLayerNodeCount; i++) {\r\n hiddenLayer[i] = new Node(0.5, data[0].length - 1);\r\n }\r\n for (int i = 0; i < outputLayerNodeCount; i++) {\r\n outputLayer[i] = new Node(0.5, activation.length);\r\n }\r\n }","private void initialize() {\r\n // init hidden layers\r\n for (int i = 0; i < neurons.length; i++) {\r\n for (int j = 0; j < neurons[i].length; j++) {\r\n // create neuron\r\n Neuron n = new Neuron(i, bias, this);\r\n neurons[i][j] = n;\r\n Log.log(Log.DEBUG, \"Adding Layer \" + (i + 1) + \" Neuron \" + (j + 1));\r\n }\r\n }\r\n }","public void backprop(double[] inputs, FeedForwardNeuralNetwork net, boolean verbose)\n {\n //create variables that will be used later\n int[] sizes = net.getSizes();\n int biggestSize = 0;\n for(int k = 0; k < sizes.length; k++)\n {\n if(sizes[k] > biggestSize)\n {\n biggestSize = sizes[k];\n }\n }\n int hiddenLayers = sizes.length - 2;\n //if input or output wrong size, return\n if(inputs.length != sizes[0])\n {\n System.out.println(\"Invalid number of inputs\");\n return;\n }\n\n double[][] allOutputs = new double[sizes.length][biggestSize];\n double[][] allErrors = new double[sizes.length][biggestSize];\n\n //fill out first layer to temp output\n int lastLayer = sizes[0];\n for(int k = 0; k < lastLayer; k++)\n {\n allOutputs[0][k] = inputs[k];\n }\n\n //for each layer after the input\n for(int k = 1; k < hiddenLayers + 2; k++)\n {\n //for each node in that layer\n for(int a = 0; a < sizes[k]; a++)\n {\n //get sum and get activation function result and its derivative\n double sum = 0;\n for(int t = 0; t < lastLayer; t++)\n {\n sum += allOutputs[k - 1][t] * net.getWeight(k - 1, t, k, a);\n }\n sum += net.getBiasNum() * net.getWeight(-1, 0, k, a);\n if(k != hiddenLayers + 1)\n {\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getHiddenActivationFunction());\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getHiddenActivationFunction());\n }\n else\n {\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getOutputActivationFunction());\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getOutputActivationFunction());\n }\n }\n lastLayer = sizes[k];\n }\n\n if(verbose)\n {\n System.out.println(\"Outputs\");\n for(int k = 0; k < maxClusters; k++)\n {\n System.out.print(allOutputs[hiddenLayers + 1][k] + \", \");\n }\n System.out.println();\n }\n double[] expectedOutputs = new double[maxClusters];\n int cluster = 0;\n double max = 0;\n for(int k = 0; k < maxClusters; k++)\n {\n expectedOutputs[k] = allOutputs[hiddenLayers + 1][k];\n if(allOutputs[hiddenLayers + 1][k] > max)\n {\n cluster = k;\n max = allOutputs[hiddenLayers + 1][k];\n }\n }\n if(verbose)\n {\n System.out.println(\"Output \" + cluster + \" will be set to max value\");\n System.out.println();\n }\n\n expectedOutputs[cluster] = 4;\n\n\n //go backward from output to first hidden layer\n for(int k = hiddenLayers + 1; k > 0; k--)\n {\n //for each node in that layer\n for(int a = 0; a < sizes[k]; a++)\n {\n //compute error for not output layer\n if(k != hiddenLayers + 1)\n {\n double temp = allErrors[k][a];\n allErrors[k][a] = 0;\n for(int t = 0; t < sizes[k + 1]; t++)\n {\n allErrors[k][a] += net.getWeight(k, t, k + 1, a) * allErrors[k + 1][t];\n }\n allErrors[k][a] *= temp;\n }\n //compute error for output layer\n else\n {\n allErrors[k][a] *= (expectedOutputs[a] - allOutputs[k][a]);\n }\n\n //for each weight node takes as input\n for(int t = 0; t < sizes[k - 1]; t++)\n {\n //find the delta for the weight and apply\n int index = net.getIndex(k - 1, t, k, a);\n double delta = learningRate * allOutputs[k - 1][t] * allErrors[k][a]\n + momentum * lastDeltas[index];\n\n net.setWeight(k - 1, t, k, a, net.getWeight(k - 1, t, k, a) + delta);\n lastDeltas[index] = delta;\n }\n }\n }\n }","Layer createLayer();","@Override\n protected void _rebuildLayerArray() {\n _layers = new CanvasLayer[] {\n _foregroundEventLayer,\n _symbolLayer,\n _overlayLayer,\n _foregroundLayer,\n _backgroundLayer,\n _backgroundEventLayer};\n }","public void trainNet() {\t\t\n\t\t// Synapses contain the weights for each layer, these are randomised to begin with\n\t\tsynapse0 = new double[X[0].length][hiddenNeurons];\n\t\tpopulateRandom(synapse0, minRandomWeight, maxRandomWeight);\n\t\t\n\t\tsynapse1 = new double[hiddenNeurons][y[0].length];\n\t\tpopulateRandom(synapse1, minRandomWeight, maxRandomWeight);\n\t\t\n\t\t// The layers are the output values of each layer.\n\t\t// They are initialised to nothing to begin with, created properly in the training loop\n\t\tlayer1 = new double[0][0];\n\t\tlayer2 = new double[0][0];\n\t\t\n\t\t// Printing the initial state of the system\n\t\tm.printMatrix(\"X:\", X);\n\t\tm.printMatrix(\"y:\", y);\n\t\t\n\t\t// The training loop\n\t\tfor (int i = 0; i < trainingCycles; i++) {\n\t\t\t// calculate the values of each layer given the inputs and the weights\n\t\t\tlayer1 = forwardPropogate(X, synapse0);\n\t\t\tlayer2 = forwardPropogate(layer1, synapse1);\n\t\t\t\n\t\t\t// Calculate the delta error for each output layer, starting\n\t\t\t// with the bottom working up.\n\t\t\t// This is the difference between the expected values and actual values\n\t\t\t// times the derivative (gradient) of the sigmoid activation function\n\t\t\t// The 1st error comes from y - output\n\t\t\tdouble[][] layer2Delta = m.subtract(y, layer2);\n\t\t\tlayer2Delta = delta(layer2Delta, layer2);\n\t\t\t// subsequent layers come from the delta of the lower layer divided by the weights\n\t\t\tdouble[][] layer1Delta = m.dot(layer2Delta, m.t(synapse1));\n\t\t\tlayer1Delta = delta(layer1Delta, layer1);\n\t\t\t\n\t\t\t// Apply the error gradients to each weight, this moves the value closer to the expected\n\t\t\t// or reduces the error\n\t\t\tsynapse1 = m.add(synapse1, m.scale(m.dot(m.t(layer1), layer2Delta), trainingRate));\n\t\t\tsynapse0 = m.add(synapse0, m.scale(m.dot(m.t(X), layer1Delta), trainingRate));\n\t\t}\n\t\t// Run the input matrix through the net to get outputs for each training value on layer 2\n\t\tdouble[][] testNet = runData(X);\n\t\t// Show the results\n\t\tm.printMatrix(\"Output for X after training:\", testNet);\n\t\tm.printMatrixInts(\"Output for X after training (out of 100:\", testNet);\n\t}","public boolean isActiveLayerDrawable() {\n\t\treturn false;\n\t}","public interface Layer {\n\t/**\n\t * @return the reference to the owning channel.\n\t */\n\tChannel channel();\n\n\tint layerId();\n\n\tLayer above();\n Layer below();\n\n\t/**\n\t * @return the geometry of the mixer fill. The coordinate system is between\n\t * 0.0 and 1.0 for both the width and the height.\n\t */\n\tGeometry fill();\n\n\t/**\n\t * @return the pixel mapped geometry of the mixer fill. The coordinate\n\t * system is mapped to match the video mode of the channel, so one\n\t * step in the coordinate system is exactly one pixel on the video\n\t * channel.\n\t */\n\tGeometry pixelFill();\n\n\t/**\n\t * @return the geometry of the mixer clipping. The coordinate system is\n\t * between 0.0 and 1.0 for both the width and the height.\n\t */\n\tGeometry clipping();\n\n\t/**\n\t * @return the pixel mapped geometry of the mixer clipping. The coordinate\n\t * system is mapped to match the video mode of the channel, so one\n\t * step in the coordinate system is exactly one pixel on the video\n\t * channel.\n\t */\n\tGeometry pixelClipping();\n\n\tPosition anchorPoint();\n Position pixelAnchorPoint();\n\n Geometry crop();\n Geometry pixelCrop();\n Corners perspective();\n Corners pixelPerspective();\n\n EaseableDouble rotation();\n\n BooleanProperty mipmapping();\n\n\tAdjustments adjustments();\n\n\tLevels levels();\n\tChromaKey chromaKey();\n\n\t/**\n\t * Load a producer directly in the layer foreground, without starting to\n\t * play.\n\t *\n\t * @param producer The producer to load.\n\t */\n\tvoid load(Producer producer);\n\tvoid load(Producer producer, Transition transition);\n\tvoid loadBg(Producer producer);\n\tvoid loadBg(Producer producer, boolean autoPlay);\n\tvoid loadBg(Producer producer, Transition transition);\n\tvoid loadBg(Producer producer, Transition transition, boolean autoPlay);\n\tvoid play(Producer producer);\n\tvoid play(Producer producer, Transition transition);\n\tvoid play();\n\tvoid pause();\n\tvoid stop();\n\tvoid clear();\n\tvoid clearMixer();\n\tvoid call(Call call);\n\tvoid callBg(Call call);\n\tvoid executeCustomCommand(String command, String parameters);\n\tvoid swap(Layer other, boolean transformsAlso);\n\t<R> R call(CallWithReturn<R> call);\n\t<R> R callBg(CallWithReturn<R> call);\n}","protected void mergeVisible ()\n {\n List<Integer> visible = getVisibleLayers();\n // remove the first layer and call that the \"mergeTo\" layer\n int mergeTo = visible.remove(0); // remove first value, not value 0!\n\n for (TudeySceneModel.Entry entry : _scene.getEntries()) {\n Object key = entry.getKey();\n if (visible.contains(_scene.getLayer(key))) {\n _scene.setLayer(key, mergeTo);\n }\n }\n\n // kill the layers, highest to lowest\n for (Integer layer : Lists.reverse(visible)) {\n _tableModel.removeLayer(layer);\n }\n fireStateChanged();\n }","void addLayer(Layer layer, int whichLayer);","public BackPropagationNeural_3H(int size_in,int size_hidden1,int size_hidden2,int size_hidden3,int size_output){\n\t\tthis.size_in = size_in;\n\t\tthis.size_hidden1 = size_hidden1;\n\t\tthis.size_hidden2 = size_hidden2;\n\t\tthis.size_hidden3 = size_hidden3;\n\t\tthis.size_output = size_output;\n\t\t\n\t\tinputs = new float[size_in];\n\t\thidden1 = new float[size_hidden1];\n\t\thidden2 = new float[size_hidden2];\n\t\thidden3 = new float[size_hidden3];\n\t\toutput = new float[size_output];\n\t\t\n\t\tweight1 = new float[size_in][size_hidden1];\n\t\tweight2 = new float[size_hidden1][size_hidden2];\n\t\tweight3 = new float[size_hidden2][size_hidden3];\n\t\tweight4 = new float[size_hidden3][size_output];\n\t\t\n\t\tW1_last_delta = new float[size_in][size_hidden1];\n W2_last_delta = new float[size_hidden1][size_hidden2];\n W3_last_delta = new float[size_hidden2][size_hidden3];\n W4_last_delta = new float[size_hidden3][size_output];\n \n\t\trandomizeWeights();\n\t\toutput_error = new float[size_output];\n\t\thidden1_error = new float[size_hidden1];\n\t\thidden2_error = new float[size_hidden2];\n\t\thidden3_error = new float[size_hidden3];\n\t}","public void saveLayerAlpha(int sx, int sy, int i, int j, int multipliedAlpha) {\n\t\t\n\t}","public Layer konstruisiFinalniLayer(ArrayList<Integer> a) {\n\t\tLayer lejer = new Layer(sirina, visina);\r\n\t\tArrayList<Layer> aktivniLejeri=new ArrayList();\r\n\r\n\t\tif (a.size() == 0) return lejer;\r\n\t\tfor ( Integer i : layers.keySet()) {\r\n\t\t\tif (inAktivni(i, a)) {\r\n\t\t\t\taktivniLejeri.add(layers.get(i));\r\n\t\t\t}\r\n\t\t}\r\n\t\tif (aktivniLejeri.size() == 0) return lejer;\r\n\t\tfor (int i = 0; i < sirina; i++) {\r\n\t\t\tfor (int j = 0; j < visina; j++) {\r\n\t\t\t\tPiksel piksel = aktivniLejeri.get(0).getPixel(i, j);\r\n\t\t\t\tdouble r = piksel.getR() * 1.0 / 255;\r\n\t\t\t\tdouble g = piksel.getG() * 1.0 / 255;\r\n\t\t\t\tdouble b = piksel.getB() * 1.0 / 255;\r\n\t\t\t\tdouble opacity = piksel.getOpacity() * 1.0 / 255;\r\n\r\n\t\t\t\t\r\n\t\t\t\tif (i == 410 && j == 40) {\r\n\t\t\t\t\t//std::cout << \"s\";\r\n\t\t\t\t}\r\n\t\t\t\tif (i == 40 && j == 410) {\r\n\t\t\t\t\t//std::cout << \"s\";\r\n\t\t\t\t}\r\n\t\t\t\t\tfor (int k = 1; k != aktivniLejeri.size(); k++) {\r\n\t\t\t\t\t\tif (opacity == 1.0) { continue; }\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\tPiksel p1 = aktivniLejeri.get(k).getPixel(i,j);\r\n\t\t\t\t\t\tdouble r1 = p1.getR() * 1.0 / 255;\r\n\t\t\t\t\t\tdouble g1 = p1.getG() * 1.0 / 255;\r\n\t\t\t\t\t\tdouble b1 = p1.getB() * 1.0 / 255;\r\n\t\t\t\t\t\tdouble opacity1= p1.getOpacity() * 1.0 / 255;\r\n\t\t\t\t\t\tif (opacity1 == 0)continue;\r\n\t\t\t\t\t\tdouble temp = (1 - opacity)* opacity1 ;\r\n\t\t\t\t\t\tdouble opt = opacity + temp;\r\n\t\t\t\t\t\tdouble temp2 = temp / opt;\r\n\t\t\t\t\t\tdouble temp3 = opacity / opt;\r\n\t\t\t\t\t\tdouble rt = r * temp3 + r1 * temp2;\r\n\t\t\t\t\t\tdouble gt = g * temp3 + g1 * temp2;\r\n\t\t\t\t\t\tdouble bt = b * temp3 + b1 * temp2;\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\tr = rt;\r\n\t\t\t\t\t\tb = bt;\r\n\t\t\t\t\t\tg = gt;\r\n\t\t\t\t\t\topacity = opt;\r\n\r\n\t\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\tPiksel novi = new Piksel(r*255, g*255, b*255, 0, opacity*255);\r\n\t\t\t\tlejer.overwritepixel(i, j, novi);\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\treturn lejer;\r\n\t\r\n\r\n\r\n\r\n\r\n\r\n\t}","public void renderOutputImageManager()\n {\n if(input != null)\n {\n if(toRerender)\n {\n background(background);\n mosaic.newCanvas();\n mosaic.setPreviewCanvas();\n mosaic.drawImage();\n renderPreview();\n renderHover();\n image(infoGraphics,10,270);\n toRerender = false;\n }\n }\n else\n {\n background(background);\n image(infoGraphics,40,270);\n }\n }","public double[] getrelevantinputs(int layer) {\r\n double[] output = new double[this.width];\r\n for(int i = 0; i < this.width; i++){\r\n output[i] = this.state[i][0][layer];\r\n }\r\n return output;\r\n }","protected void trainModuleNN(ExperienceReplay<TransitionMemory> experienceReplay, T outputOfInterest,\n\t\t\tRelationManager<T> relMngr, int[] numHidden, int epochs, double lRate, double mRate, double sRate) {\n\n\t\tint outKey = getVectorKey(outputOfInterest);\n\t\tint[] inKeys = getInKeys(outputOfInterest, relMngr);\n\t\t\n\t\tfor(int i = 0; i < epochs; i++) {\n\t\t\tIterator<TransitionMemory> iter = experienceReplay.getBatch().iterator();\n\t\t\tdouble inActivations[] = new double[inKeys.length];\n//\t\t\tdouble err = 0;\n\t\t\twhile (iter.hasNext()) {\n\t\t\t\tTransitionMemory tm = iter.next();\n\t\t\t\tdouble[] preStateAndAction = tm.getPreStateAndAction();\n\t\t\t\tdouble[] postState = tm.getPostState();\n\t\t\t\tint j = 0;\n\t\t\t\tfor (int k : inKeys) inActivations[j++] = k >= 0 ? preStateAndAction[k] : 0;\n\t\t\t\tif (neuralNet == null) neuralNet = new FFNeuralNetwork(ActivationFunction.SIGMOID0p5,\n\t\t\t\t\t\tinActivations.length, 1, numHidden);\n\t\t\t\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), inActivations);\n\t\t\t\tFFNeuralNetwork.backPropagate(neuralNet.getOutputNodes(), lRate, mRate, sRate, postState[outKey]);\n//\t\t\t\terr += FFNeuralNetwork.getError(new double[] {postState[outKey]}, neuralNet.getOutputNodes());\n\t\t\t}\n//\t\t\tSystem.out.println(i + \"\t\" + err / experienceReplay.getSize());\n\t\t}\n//\t\tSystem.out.println();\n\t\tif (rel2ModuleInput.isEmpty()) {\n\t\t\tArrayList<? extends Node> inputNodes = neuralNet.getInputNodes();\n\t\t\tint j = 0;\n\t\t\tfor (IndirectInput rel : relations) rel2ModuleInput.put(rel, inputNodes.get(j++));\n\t\t}\n\t}","public abstract void initLayers();","public void incrementLayer () {\n layer++;\n }","boolean isHiddenNeuron();","public void displayActivations(){\n for (int i = 0; i < neurons.size(); i++){\n System.out.println(\"Neuron \" + i + \": \" + neurons.get(i).getActivation());\n }\n }","@Override\r\n\tpublic ANNLayer copy() {\n\t\tFullyConnectedLayer output = new FullyConnectedLayer(); \r\n\t\toutput.inputWeight = this.inputWeight.copy(); \r\n\t\toutput.fout = this.fout; \r\n\t\toutput.set = this.set; \r\n\t\treturn output; \r\n\t}","public void train() {\r\n // For each epoch, call setInputValue on input nodes\r\n for (int i = 0; i < maxEpoch; i++) {\r\n Collections.shuffle(trainingSet, random);\r\n\r\n // get each training instance\r\n for (int k = 0; k < trainingSet.size(); k++) {\r\n\r\n Instance instance = trainingSet.get(k);\r\n\r\n // set the input value in the input nodes from the training instance\r\n for (int j = 0; j < instance.attributes.size(); j++) {\r\n inputNodes.get(j).setInput(instance.attributes.get(j));\r\n }\r\n\r\n //set the target value in output nodes\r\n for (int j = 0; j < instance.classValues.size(); j++) {\r\n outputNodes.get(j).setTargetValue((double) instance.classValues.get(j));\r\n }\r\n\r\n // calculate values for hidden nodes\r\n for (int j = 0; j < hiddenNodes.size(); j++) {\r\n // for each hidden node\r\n Node hiddenNode = hiddenNodes.get(j);\r\n hiddenNode.calculateOutput();\r\n }\r\n\r\n //calculate values for output nodes\r\n double sumOfExponents = 0.0;\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n // for each output node\r\n Node outputNode = outputNodes.get(j);\r\n outputNode.calculateOutput();\r\n sumOfExponents += outputNode.getOutput();\r\n }\r\n\r\n //update output values of output nodes\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n Node outputNode = outputNodes.get(j);\r\n outputNode.updateOutputValue(sumOfExponents);\r\n }\r\n\r\n // calculate delta values for output nodes\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n Node outputNode = outputNodes.get(j);\r\n outputNode.calculateDelta();\r\n }\r\n\r\n // calculate delta values for hidden nodes\r\n for (int j = 0; j < hiddenNodes.size(); j++) {\r\n Node hiddenNode = hiddenNodes.get(j);\r\n hiddenNode.calculateDelta();\r\n hiddenNode.resetSumOfPartialDelta();\r\n }\r\n\r\n // update weights going from input layer to hidden layer\r\n for (int j = 0; j < hiddenNodes.size(); j++) {\r\n Node hiddenNode = hiddenNodes.get(j);\r\n hiddenNode.updateWeight(learningRate);\r\n }\r\n\r\n // update weights going from hidden layer to output layer\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n Node outputNode = outputNodes.get(j);\r\n outputNode.updateWeight(learningRate);\r\n }\r\n\r\n /*if (k == 0 && i==0) {\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n Node outputNode = outputNodes.get(j);\r\n for (NodeWeightPair pair : outputNode.parents) {\r\n System.out.println(pair.weight);\r\n }\r\n }\r\n }\r\n\r\n if (k == 0 && i == 0) {\r\n for (int j = 0; j < hiddenNodes.size(); j++) {\r\n Node hiddenNode = hiddenNodes.get(j);\r\n if (hiddenNode.parents != null) {\r\n for (NodeWeightPair pair : hiddenNode.parents) {\r\n System.out.println(pair.weight);\r\n }\r\n }\r\n }\r\n }*/\r\n }\r\n\r\n /* if (i==29) {\r\n for (int j = 0; j < outputNodes.size(); j++) {\r\n Node outputNode = outputNodes.get(j);\r\n for (NodeWeightPair pair : outputNode.parents) {\r\n System.out.println(pair.weight);\r\n }\r\n }\r\n }*/\r\n\r\n double totalLoss = 0.0;\r\n // Calculate loss and sum for each training instance, and then take average\r\n for (int k = 0; k < trainingSet.size(); k++) {\r\n Instance instance = trainingSet.get(k);\r\n totalLoss += loss(instance);\r\n }\r\n totalLoss /= trainingSet.size();\r\n System.out.println(\"Epoch: \" + i + \", \" + \"Loss: \" + String.format(\"%.3e\", totalLoss));\r\n }\r\n }","public int getOutputLayer() {\n int outputSize = 0;\n if(this.size() > 0) {\n return this.get(this.size()-1);\n }\n return outputSize;\n }","@Test\n public void testChangeLayerVisibility() {\n LayersViewController instance = LayersViewController.getDefault().init(null);\n instance.createLayer();\n int index1 = 2;\n Query query1 = new Query(GraphElementType.VERTEX, \"Type == 'Event'\");\n instance.getVxQueryCollection().getQuery(index1).setQuery(query1);\n instance.getTxQueryCollection().getQuery(index1).setQuery(null);\n\n instance.changeLayerVisibility(index1, true);\n assertTrue(instance.getVxQueryCollection().getQuery(index1).isVisible());\n\n instance.createLayer();\n int index2 = 3;\n Query query2 = new Query(GraphElementType.TRANSACTION, \"Type == 'Network'\");\n instance.getTxQueryCollection().getQuery(index2).setQuery(query2);\n instance.getVxQueryCollection().getQuery(index2).setQuery(null);\n\n instance.changeLayerVisibility(index2, true);\n assertTrue(instance.getTxQueryCollection().getQuery(index2).isVisible());\n }","public void computeOutputs(double[] input){\n if (input != null) {\n for (int i=0; i<fire.length; i++) {\n fire[i] = input[i];\n }\n }\n\n //if this a hidden layer then we set the input to be\n double layerInput[] = new double[fire.length+ 1];\n for(int i=0; i<fire.length; i++){\n layerInput[i] = fire[i];\n }\n //add in another element for threshold to be multiplied by 1\n layerInput[fire.length] = 1;\n\n //compute outputs\n for (int i=0; i<next.getNeuronCount(); i++) {\n //get column at i of weightThreshold\n double colWeightThreshold[] = new double[weightThreshold.length];\n for(int j=0; j<colWeightThreshold.length; j++){\n colWeightThreshold[j] = weightThreshold[j][i];\n }\n\n double sum = dotProduct(colWeightThreshold, layerInput);\n //activation function on the sum and store neuron output\n next.fire[i] = activationFunction(sum);//(exp(sum*2.0)-1.0)/(exp(sum*2.0)+1.0);\n //System.out.println(\"output[\"+i+\"]: \"+output[i]);\n\n }\n\n }","public double[][] activateFunction(){\n\t\n\t\tboolean run = true;\n\t\tint count = 0;\n\t\tdouble[][] output = null;\n\t\twhile(run){\n\t\t\toutput = sign(subtract(multiply(weights, entryCoord), thresholds));\n\t\t\t\tfor(int i = 0; i < trainingList.size(); i++){\n\t\t\t\t\tfor(int j = 0; j < (XDIMENSION * YDIMENSION); j++){\n\t\t\t\t\t\tif(trainingList.get(i)[j][0] == output[j][0]){\n\t\t\t\t\t\t\tcount++;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif(count == (XDIMENSION * YDIMENSION)){\n\t\t\t\t\t\t\trun = false;\n\t\t\t\t\t\t\tfor(int k = 0; k < output.length; k++){\n\t\t\t\t\t\t\t\tSystem.out.print(output[k][0] + \" \");\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t}\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\t\tcount = 0;\n\t\t\t\t}\t\n\t\n\t\t}\n\t\treturn makeGrid(output);\n\t}","private void setupGraph() {\n graph = new DualGraph(SchemaFactoryUtilities.getSchemaFactory(VisualSchemaFactory.VISUAL_SCHEMA_ID).createSchema());\n try {\n\n WritableGraph wg = graph.getWritableGraph(\"\", true);\n\n // Create LayerMask attributes\n layerMaskV = LayersConcept.VertexAttribute.LAYER_MASK.ensure(wg);\n layerMaskT = LayersConcept.TransactionAttribute.LAYER_MASK.ensure(wg);\n\n // Create LayerVisilibity Attributes\n layerVisibilityV = LayersConcept.VertexAttribute.LAYER_VISIBILITY.ensure(wg);\n layerVisibilityT = LayersConcept.TransactionAttribute.LAYER_VISIBILITY.ensure(wg);\n\n // Create Selected Attributes\n selectedV = VisualConcept.VertexAttribute.SELECTED.ensure(wg);\n selectedT = VisualConcept.TransactionAttribute.SELECTED.ensure(wg);\n\n // Adding 2 Vertices - not selected, layer 1, visible\n vxId1 = wg.addVertex();\n wg.setIntValue(layerMaskV, vxId1, 1);\n wg.setFloatValue(layerVisibilityV, vxId1, 1.0f);\n wg.setBooleanValue(selectedV, vxId1, false);\n\n vxId2 = wg.addVertex();\n wg.setIntValue(layerMaskV, vxId2, 1);\n wg.setFloatValue(layerVisibilityV, vxId2, 1.0f);\n wg.setBooleanValue(selectedV, vxId2, false);\n\n // Adding 2 Transactions - not selected, layer 1, visible\n txId1 = wg.addTransaction(vxId1, vxId2, true);\n wg.setIntValue(layerMaskT, txId1, 1);\n wg.setFloatValue(layerVisibilityT, txId1, 1.0f);\n wg.setBooleanValue(selectedT, txId1, false);\n\n txId2 = wg.addTransaction(vxId1, vxId2, false);\n wg.setIntValue(layerMaskT, txId2, 1);\n wg.setFloatValue(layerVisibilityT, vxId2, 1.0f);\n wg.setBooleanValue(selectedT, vxId2, false);\n\n wg.commit();\n\n } catch (final InterruptedException ex) {\n Exceptions.printStackTrace(ex);\n Thread.currentThread().interrupt();\n }\n }","public ImageLayer getActiveImageLayer() {\n checkInvariant();\n if (activeLayer instanceof ImageLayer) {\n ImageLayer imageLayer = (ImageLayer) activeLayer;\n return imageLayer;\n }\n throw new IllegalStateException(\"active layer is not image layer\");\n }","public void layerUpdate(int layerToBeUpdated ){\n\t\tRandom rand = new Random();\n\n\t\tfor(int i = 0; i < this.layers[layerToBeUpdated].length; i++){\n\t\t\tdouble x = this.layers[layerToBeUpdated][i].getBias();\n\t\t\tfor(int j = 0; j < this.layers[(layerToBeUpdated + 1) % 2].length; j++){\n\n\t\t\t\tif(layerToBeUpdated == 0){\n\t\t\t\t\tx += this.connections[i][j]*this.layers[1][j].getState();\n\t\t\t\t} else {\n\t\t\t\t\tx += this.connections[j][i]*this.layers[0][j].getState();\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif(Sigmoid.getINSTANCE().apply(x) >= rand.nextDouble()){\n\t\t\t\tthis.layers[layerToBeUpdated][i].setState(1);\n\t\t\t} else {\n\t\t\t\tthis.layers[layerToBeUpdated][i].setState(0);\n\t\t\t}\n\n\t\t}\n\t}","void setVisibility(Layer layer, boolean visibility);","int getLayer();","public Layer.Layers getLayer();","public boolean hasLayers() {\n\t\treturn false;\n\t}","public void paintComponent(Graphics g) {\n\n Graphics2D g2d = (Graphics2D) g;\n g2d.setStroke(new BasicStroke(3));\n double nbLayers = cnn.getLayers().size() - 1, x = 0, y = 0, offsetX = 20, offsetY = 20;\n double sizeLayer = (getWidth() - (nbLayers + 1) * offsetX) / nbLayers;\n\n x = offsetX;\n\n for(int layer = 0; layer < cnn.getLayers().size() - 1; layer++) {\n\n CNNLayer l = cnn.getLayers().get(layer);\n\n double sizeInput = (getHeight() - ((l.getInputs().length + 1) * offsetY)) / l.getInputs().length;\n\n y = offsetY;\n for(int input = 0; input < l.getInputs().length; input++) {\n\n Matrix m = l.getInputs()[input];\n\n BufferedImage img = ImageManager.transformMatrixToImage(m);\n\n System.out.println(x + \", \" + y);\n g2d.drawImage(img, (int) x, (int) y, (int) sizeLayer, (int) sizeInput, null);\n g2d.setColor(new Color(0, 0, 0));\n g2d.drawRect((int) x, (int) y, (int) sizeLayer, (int) sizeInput);\n\n y += offsetX;\n y += sizeInput;\n\n }\n\n x += offsetX;\n x += sizeLayer;\n\n }\n }","@FXML public void toLayer()\t\t\n\t{\n\t}","private void updateHiddenLayersErrors(Neuron neuron) {\r\n\r\n\t\t// Calculate the neuron error by weighting the errors of the output neurons of the output synapses.\r\n\t\tList<Synapse> outputSynapses = neuron.getOutputSynapses();\r\n\t\tdouble weightedOutputError = 0;\r\n\t\tfor (Synapse outputSynapse : outputSynapses) {\r\n\t\t\t// Output neuron and update.\r\n\t\t\tNeuron outputNeuron = outputSynapse.getOutputNeuron();\r\n\t\t\tdouble error = outputNeuron.getError();\r\n\t\t\tdouble weight = outputSynapse.getWeight();\r\n\t\t\tweightedOutputError += (error * weight);\r\n\t\t}\r\n\r\n\t\t// Back propagate weighted output\r\n\t\tOutputFunction outputFunction = neuron.getOutputFunction();\r\n\t\tdouble input = neuron.getInput();\r\n\t\tdouble derivative = outputFunction.getDerivative(input);\r\n\t\tdouble neuronError = weightedOutputError * derivative;\r\n\t\tneuron.setError(neuronError);\r\n\r\n\t\t// Update neuron weights if applicable\r\n\t\tif (updateWeights) {\r\n\t\t\tupdateNeuronWeights(neuron);\r\n\t\t}\r\n\r\n\t\t// Update bias if applicable\r\n\t\tif (updateBiases) {\r\n\t\t\tupdateNeuronBias(neuron);\r\n\t\t}\r\n\t}","public static void clearLayers(){\n\t\tfor(int i=0;i<ChangeLayer.Layers.length;i++){\n\t\t\tChangeLayer.Layers[i].clear();\n\t\t\t}\n\t}","boolean isBiasNeuron();","private void createLayers(boolean bl, int[] arrn) {\n ILayer[] arriLayer = this.mLayers;\n if (bl) {\n for (int i = -1 + this.mLayerCount; i >= 0; --i) {\n arriLayer[i] = new FixedCapacityLayer(arrn[i]);\n }\n return;\n }\n for (int i = -1 + this.mLayerCount; i >= 0; --i) {\n arriLayer[i] = new DynamicCapacityLayer(arrn[i]);\n }\n }","public Optional<ImageLayer> getActiveImageLayerOpt() {\n if (activeLayer instanceof ImageLayer) {\n ImageLayer imageLayer = (ImageLayer) activeLayer;\n return Optional.of(imageLayer);\n }\n return Optional.empty();\n }","public NeuralNetwork(int inputs, int layer1, int layer2, int layer3, int outputs) {\r\n this.input = inputs;\r\n this.layer1 = layer1;\r\n this.layer2 = layer2;\r\n this.layer3 = layer3;\r\n this.output = outputs;\r\n }","public void writeNumberOfOutNeurals() {\r\n \r\n outputLayer.setNumberOfNeurals(numberOfOutputNeurals);\r\n }","@Override\n\tprotected void activateFigure() {\n\t\tthis.layer = getLayer(CONNECTION_LAYER);\n\t\tthis.layer.add(getFigure());\n\t}","public void train()\r\n\t{\r\n\t\tfor(int i=0; i < this.maxEpoch; i++)\r\n\t\t{\r\n\t\t\tfor(Instance temp_example: this.trainingSet)\r\n\t\t\t{\r\n\t\t\t\tdouble O = calculateOutputForInstance(temp_example);\r\n\t\t\t\tdouble T = temp_example.output;\r\n\t\t\t\tdouble err = T - O;\r\n\r\n\t\t\t\t//w_jk (hidden to output)\r\n\t\t\t\tdouble g_p_out = (outputNode.getSum() <= 0) ? 0 : 1;\r\n\t\t\t\tfor(NodeWeightPair hiddenNode: outputNode.parents)\r\n\t\t\t\t{\r\n\t\t\t\t\thiddenNode.set_deltaw_pq(this.learningRate*\r\n\t\t\t\t\t\t\thiddenNode.node.getOutput()*err*g_p_out);\r\n\t\t\t\t}\r\n\r\n\t\t\t\t//w_ij (input to hidden)\r\n\t\t\t\tint hid_count =0;\r\n\t\t\t\tfor(Node hiddenNode: hiddenNodes){\r\n\t\t\t\t\tdouble g_p_hid = (hiddenNode.getSum() <= 0) ? 0 : 1;\r\n\t\t\t\t\tif(hiddenNode.getType()==2)\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tfor(NodeWeightPair inputNode: hiddenNode.parents){\r\n\t\t\t\t\t\t\tdouble a_i = inputNode.node.getOutput();\r\n\t\t\t\t\t\t\tinputNode.set_deltaw_pq\r\n\t\t\t\t\t\t\t(\r\n\t\t\t\t\t\t\t\t\tthis.learningRate*\r\n\t\t\t\t\t\t\t\t\ta_i*g_p_hid*(err*\r\n\t\t\t\t\t\t\t\t\toutputNode.parents.get(hid_count).weight*\r\n\t\t\t\t\t\t\t\t\tg_p_out)\r\n\t\t\t\t\t\t\t\t\t);\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t} else {\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\thid_count++;\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t// for all w_pq, update weights\r\n\t\t\t\tfor(Node hiddenNode: hiddenNodes){\r\n\t\t\t\t\tif(hiddenNode.getType()==2){\r\n\t\t\t\t\t\tfor(NodeWeightPair inputNode: hiddenNode.parents){\r\n\t\t\t\t\t\t\tinputNode.weight += inputNode.get_deltaw_pq();\r\n\t\t\t\t\t\t\tinputNode.set_deltaw_pq(new Double (0.00));\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\tfor(NodeWeightPair hiddenNode: outputNode.parents)\r\n\t\t\t\t{\r\n\t\t\t\t\thiddenNode.weight += hiddenNode.get_deltaw_pq();\r\n\t\t\t\t\thiddenNode.set_deltaw_pq(new Double (0.00));\r\n\t\t\t\t}\r\n\r\n\t\t\t} // end of an instance \r\n\t\t} // end of an epoch\r\n\t}","public void batchUpdateWeights() {\n\t\tObject[] keys = nextLayerNodes.keySet().toArray();\n\t\tfor (Object key : keys) {\n\t\t\tNode nextLayerNode = (Node) key;\n\t\t\t// System.out.printf(\"Updating weight from %f to %f%n\", nextLayerNodes.get(nextLayerNode), nextLayerNodesUpdateMap.get(nextLayerNode));\n\t\t\tdouble oldWeight = nextLayerNodes.get(nextLayerNode);\n\t\t\tnextLayerNodes.put(nextLayerNode, nextLayerNodesUpdateMap.get(nextLayerNode));\n\t\t\tdouble newWeight = nextLayerNodes.get(nextLayerNode);\n\t\t\tdouble deltaWeight = oldWeight-newWeight;\n\t\t\tSystem.out.printf(\"Changed from %f to %f%n\", oldWeight, newWeight);\n\t\t\tif (deltaWeight > 0.0) {\n\t\t\t\tif (nextLayerNodesArrayList.get(0).nextLayerNodes.size() == 0) {\n\t\t\t\t\tSystem.out.print(\"Hidden Node connected to output layer \");\n\t\t\t\t} else {\n\t\t\t\t\tSystem.out.print(\"Node connected to another hidden layer \");\n\t\t\t\t}\n\t\t\t\tSystem.out.printf (\"Increased!! Delta weight = %.10f%n\", deltaWeight);\n\t\t\t} else if (deltaWeight < 0.0) {\n\t\t\t\tif (nextLayerNodesArrayList.get(0).nextLayerNodes.size() == 0) {\n\t\t\t\t\tSystem.out.print(\"Hidden Node connected to output layer \");\n\t\t\t\t} else {\n\t\t\t\t\tSystem.out.print(\"Node connected to another hidden layer \");\n\t\t\t\t}\n\t\t\t\tSystem.out.printf(\"Decreased!! Delta weight = %.10f%n\", deltaWeight);\n\t\t\t}\n\t\t}\n\t}","@Test\n\tpublic void translateOutputBind() throws Exception {\n\t\tString expectedTranslation = \"uchar4 __attribute__ ((kernel)) toBitmapBitmapImage(float3 PM_in, uint32_t x,uint32_t y) {\\n\"\n\t\t\t\t+ \"uchar4 PM_out;\\n\"\n\t\t\t\t+ \"PM_out.r = (uchar)(PM_in.s0);\\n\"\n\t\t\t\t+ \"PM_out.g = (uchar)(PM_in.s1);\\n\"\n\t\t\t\t+ \"PM_out.b = (uchar)(PM_in.s2);\\n\"\n\t\t\t\t+ \"PM_out.a = 255;\"\n\t\t\t\t+ \"return PM_out;\\n\" + \"}\";\n\t\tBaseUserLibraryTranslator translator = this.getTranslator();\n\t\tString translatedFunction = translator.translateOutputBind(className,\n\t\t\t\tnull);\n\t\tthis.validateTranslation(expectedTranslation, translatedFunction);\n\t}","CartogramWizardSimulaneousLayerWindow ()\n\t{\n\t\t\n\t\t// Set the window parameters.\n\t\tthis.setTitle(\"Simultaneous transformation layers\");\n\t\t\t\n\t\tthis.setSize(300, 400);\n\t\tthis.setLocation(40, 50);\n\t\tthis.setResizable(false);\n\t\tthis.setLayout(null);\n\t\tthis.setModal(true);\n\t\t\n\t\t\n\n\t\t// LIST WITH SIMULTANEOUS LAYERS\n\t\t\n\t\t// Create a new pane containing the check boxes with\n\t\t// the layers.\n\t\tmLayerListPanel = new JPanel(new GridLayout(0,1));\n\t\t\n\t\t// Create the check boxes for all layers except the selected\n\t\t// cartogram layer.\n\t\tmCurrentCartogramLayer = \n\t\t\tAppContext.cartogramWizard.getCartogramLayerName();\n\t\t\n\t\t// Create the checkbox array.\n\t\tmCheckBoxList = new Vector();\n\t\t\n\t\tFont smallFont = new Font(null, Font.PLAIN, 11);\n\t\t\n\t\t// Create the check boxes.\n\t\tVector simLayers = AppContext.cartogramWizard.getSimultaneousLayers();\n\t\tint nlayers = AppContext.layerManager.size();\n\t\tif (nlayers > 1)\n\t\t{\n\t\t\tint layersInList = 0;\n\t\t\tint lyrcnt = 0;\n\t\t\tfor (lyrcnt = 0; lyrcnt < nlayers; lyrcnt++)\n\t\t\t{\n\t\t\t\tLayer lyr = AppContext.layerManager.getLayer(lyrcnt);\n\t\t\t\tif (lyr.getName() != mCurrentCartogramLayer)\n\t\t\t\t{\n\t\t\t\t\tJCheckBox checkbox = new JCheckBox(lyr.getName());\n\t\t\t\t\tcheckbox.setFont(smallFont);\n\t\t\t\t\t\n\t\t\t\t\t// Find if this layer is already selected as a \n\t\t\t\t\t// simultaneous layer.\n\t\t\t\t\tif (simLayers != null && simLayers.contains(lyr))\n\t\t\t\t\t\tcheckbox.setSelected(true);\n\t\t\t\t\telse\n\t\t\t\t\t\tcheckbox.setSelected(false);\n\t\t\t\t\t\n\t\t\t\t\tmCheckBoxList.add(checkbox);\n\t\t\t\t\tmLayerListPanel.add(checkbox);\n\t\t\t\t\tlayersInList++;\n\t\t\t\t}\n\t\t\t}\n\t\t\n\t\t\t// Compute the height of the new scroll pane.\n\t\t\tint scrollPaneHeight = layersInList * 26;\n\t\t\tif (layersInList == 0)\n\t\t\t\tscrollPaneHeight = 260;\n\t\t\n\t\t\tif (scrollPaneHeight > 260)\n\t\t\t\tscrollPaneHeight = 260;\n\t\t\t\n\t\t\n\t\t\t// Create a new scroll pane where we will display the\n\t\t\t// list of layers.\n\t\t\tmLayerListScrollPane = new JScrollPane(mLayerListPanel);\n\t\t\tmLayerListScrollPane.setSize(260, scrollPaneHeight);\n\t\t\tmLayerListScrollPane.setLocation(20, 50);\n\t\t\n\t\t\tmLayerListScrollPane.setBorder(\n\t\t\t\tBorderFactory.createEmptyBorder(0, 0, 0, 0));\n\t\t\t\n\t\t\tthis.add(mLayerListScrollPane);\n\t\t\t\n\t\t}\n\t\t\n\t\t\n\t\t// Label for the layers to deform.\n\t\tJLabel layerListLabel = \n\t\t\tnew JLabel(\"Select layers to deform simultaneously:\");\n\t\tlayerListLabel.setSize(260, 14);\n\t\tlayerListLabel.setFont(smallFont);\n\t\tlayerListLabel.setLocation(20, 20);\n\t\tthis.add(layerListLabel);\n\t\t\n\t\t\n\t\t// Label for no present layers.\n\t\tif (nlayers <= 1)\n\t\t{\n\t\t\tmNoLayerLabel = new JLabel(\"No other layer to be deformed.\");\n\t\t\tmNoLayerLabel.setSize(260, 14);\n\t\t\tmNoLayerLabel.setFont(smallFont);\n\t\t\tmNoLayerLabel.setLocation(20, 50);\n\t\t\tthis.add(mNoLayerLabel);\n\t\t}\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t// Cancel button\n\t\tJButton cancelButton = new JButton(\"Cancel\");\n\t\tcancelButton.setLocation(70, 330);\n\t\tcancelButton.setSize(100, 26);\n\t\t\n\t\tcancelButton.addActionListener(new \n\t\t\tCartogramWizardSimulaneousLayerAction(\n\t\t\t\"closeDialogWithoutSaving\", this));\n\t\t\t\n\t\tthis.add(cancelButton);\n\t\t\n\t\t\n\t\t// Ok button\n\t\tJButton okButton = new JButton(\"OK\");\n\t\tokButton.setLocation(180, 330);\n\t\tokButton.setSize(100, 26);\n\t\t\n\t\tokButton.addActionListener(new \n\t\t\tCartogramWizardSimulaneousLayerAction(\n\t\t\t\"closeDialogWithSaving\", this));\n\t\t\t\n\t\tthis.add(okButton);\n\n\t\n\t}","public void setUpperLayer(Layer upperLayer) {\n\t\tthis.upperLayer = upperLayer;\n\t}","public Layer(Layer previousLayer, Neuron bias) {\r\n\t\tthis(previousLayer);\r\n\t\tthis.bias = bias;\r\n\t\tgetNeurons().add(bias); //Add the bias neuron\r\n\t}","@Override\n\tpublic void train(DataSet data) {\n\t\tArrayList<Example> examples = data.getCopyWithBias().getData();\n\t\t// initialize both weight vectors with random values between -0.1 ad 0.1\n\t\tinitWeights(examples.size());\n\n\t\t// store outputs from forward calculation for each example\n\t\t// array will have size # examples.\n\t\tArrayList<Double> nodeOutputs = calculateForward(examples);\n\n\t\t// now take error and back-propagate from output to hidden nodes\n\n\t\tfor (int j = 0; j < examples.size(); j++) {\n\t\t\tExample ex = examples.get(j);\n\n\t\t\t// get hidden node outputs for single example\n\t\t\tfor (int num = 0; num < numHidden; num++) {\n\t\t\t\tArrayList<Double> h_outputs = hiddenOutputs.get(num);\n\t\t\t\tdouble vDotH = dotProduct(h_outputs, layerTwoWeights); // calculate\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// v dot\n\t\t\t\t// h for\n\t\t\t\t// this node\n\n\t\t\t\tfor (int i = 0; i < numHidden - 1; i++) {\n\t\t\t\t\tdouble oldV = layerTwoWeights.get(i);\n\t\t\t\t\tdouble hk = h_outputs.get(i);\n\t\t\t\t\t// Equation describing line below:\n\t\t\t\t\t// v_k = v_k + eta*h_k(y-f(v dot h)) f'(v dot h)\n\t\t\t\t\tlayerTwoWeights.set(i, oldV + eta * hk * (ex.getLabel() - Math.tanh(vDotH)) * derivative(vDotH));\n\t\t\t\t}\n\n\t\t\t\tSet<Integer> features = ex.getFeatureSet();\n\t\t\t\tIterator<Integer> iter = features.iterator();\n\t\t\t\tArrayList<Double> featureVals = new ArrayList<Double>();\n\t\t\t\tfor (int f : features) {\n\t\t\t\t\tfeatureVals.add((double) f);\n\t\t\t\t}\n\n\t\t\t\t// take that error and back-propagate one more time\n\t\t\t\tfor (int x = 0; x < numHidden; x++) {\n\t\t\t\t\tArrayList<Double> initWeights = hiddenWeights.get(x);\n\t\t\t\t\t// List<Object> features =\n\t\t\t\t\t// Arrays.asList(ex.getFeatureSet().toArray());\n\n\t\t\t\t\t// for (int i = 0; i < featureVals.size()-1; i++) {\n\t\t\t\t\tdouble oldWeight = initWeights.get(j);\n\t\t\t\t\tdouble thisInput = ex.getFeature(featureVals.get(x).intValue());\n\t\t\t\t\t// w_kj = w_kj + eta*xj(input)*f'(w_k dot x)*v_k*f'(v dot\n\t\t\t\t\t// h)(y-f(v dot h))\n\t\t\t\t\tdouble updateWeight = oldWeight + eta * thisInput * derivative(dotProduct(featureVals, initWeights))\n\t\t\t\t\t\t\t* layerTwoWeights.get(x) * derivative(vDotH) * (ex.getLabel() - Math.tanh(vDotH));\n\t\t\t\t\tinitWeights.set(j, updateWeight);\n\t\t\t\t\t// }\n\t\t\t\t\thiddenWeights.set(x, initWeights); // update weights for\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t// current\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t// example\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t}","@Override\n\tpublic void backProp() {\n\t\tdouble dOut = 0;\n\t\tfor (Node n : outputs) {\n\t\t\tdOut += n.dInputs.get(this);\n\t\t}\n\t\tdouble dTotal = activationFunction.derivative(total)*dOut;\n\t\tfor (Node n : inputs) {\n\t\t\tdInputs.put(n, dTotal * weights.get(n).getWeight());\n\t\t\tweights.get(n).adjustWeight(dTotal * n.output);\n\t\t}\n\t\tbiasWeight.adjustWeight(bias * dTotal);\n\t}","public void switchBaseLayers() {\n\n\t\tgetViewer().setBaseLayerId(baseLayerName);\n\t}","public WorkingNeuron getOutputNeuronFromName(String name) {\n\t\tfor (WorkingNeuron neuron : outputLayer) {\n\t\t\tif (name.equals(neuron.getName())) {\n\t\t\t\treturn neuron;\n\t\t\t}\n\t\t}\n\t\treturn null;\n\t}","private void updateOutputValues()\n {\n // TODO: You may place code here to update outputY and outputZ\n \t// Drawing code belongs in drawOnTheCanvas\n \t\n // example:\n outputY = inputA && inputC;\n }","public void allLayers()\n\t{\n\t\tint totalLayers = this.psd.getLayersCount();\n\t\t\n\t\tLayer layer;\n\t\t\n\t\tfor (int i = totalLayers - 1; i >= 0; i--) {\n\t\t\tlayer = this.psd.getLayer(i);\n\t\t\t\n\t\t\tif (!layer.isVisible() || (layer.getType() == LayerType.NORMAL && layer.getWidth() == 0)) {\n\t\t\t\tthis.layersToRemove.add(layer);\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\t\n\t\t\tlayer.adjustPositionAndSizeInformation();\n\t\t\tthis.layerId++;\n\t\t\t\n\t\t\tif (LayerType.NORMAL == layer.getType()) {\n\t\t\t\t\n\t\t\t\tlayer.setUniqueLayerId(this.layerId);\n\t\t\t\tlayer.setGroupLayerId(0);\n\t\t\t\tlayer.setDepth(0);\n\t\t\t\t\n\t\t\t\tthis.layers.add(layer);\n\t\t\t\t\n\t\t\t} else if (LayerType.OPEN_FOLDER == layer.getType() || LayerType.CLOSED_FOLDER == layer.getType()) {\n\t\t\t\t\n\t\t\t\tlayer.setUniqueLayerId(this.layerId);\n\t\t\t\tlayer.setGroupLayerId(0);\n\t\t\t\tlayer.setDepth(0);\n\t\t\t\t\n\t\t\t\tthis.layers.add(layer);\n\t\t\t\t\n\t\t\t\tif (layer.getLayersCount() > 0) {\n\t\t\t\t\tthis.subLayers(layer, this.layerId, 1);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}","public int getLayer()\n\t{\n\t\treturn layer;\n\t}","public final void setActiveLayer(BaseDodlesViewGroup layer) {\n activeLayer = layer;\n }","@Override\n\tpublic int getGameLayer() {\n\t\treturn 0;\n\t}","NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Random random, Double[][] hiddenWeights, Double[][] outputWeights) {\r\n this.trainingSet = trainingSet;\r\n this.learningRate = learningRate;\r\n this.maxEpoch = maxEpoch;\r\n this.random = random;\r\n\r\n //input layer nodes\r\n inputNodes = new ArrayList<>();\r\n int inputNodeCount = trainingSet.get(0).attributes.size();\r\n int outputNodeCount = trainingSet.get(0).classValues.size();\r\n for (int i = 0; i < inputNodeCount; i++) {\r\n Node node = new Node(0);\r\n inputNodes.add(node);\r\n }\r\n\r\n //bias node from input layer to hidden\r\n Node biasToHidden = new Node(1);\r\n inputNodes.add(biasToHidden);\r\n\r\n //hidden layer nodes\r\n hiddenNodes = new ArrayList<>();\r\n for (int i = 0; i < hiddenNodeCount; i++) {\r\n Node node = new Node(2);\r\n //Connecting hidden layer nodes with input layer nodes\r\n for (int j = 0; j < inputNodes.size(); j++) {\r\n NodeWeightPair nwp = new NodeWeightPair(inputNodes.get(j), hiddenWeights[i][j]);\r\n node.parents.add(nwp);\r\n }\r\n hiddenNodes.add(node);\r\n }\r\n\r\n //bias node from hidden layer to output\r\n Node biasToOutput = new Node(3);\r\n hiddenNodes.add(biasToOutput);\r\n\r\n //Output node layer\r\n outputNodes = new ArrayList<>();\r\n for (int i = 0; i < outputNodeCount; i++) {\r\n Node node = new Node(4);\r\n //Connecting output layer nodes with hidden layer nodes\r\n for (int j = 0; j < hiddenNodes.size(); j++) {\r\n NodeWeightPair nwp = new NodeWeightPair(hiddenNodes.get(j), outputWeights[i][j]);\r\n node.parents.add(nwp);\r\n }\r\n outputNodes.add(node);\r\n }\r\n }","public int getLayer() {\r\n\t\treturn layer;\r\n\t}","private void activeDrawEffects() {\n }","public void setAllTransformable() {\n for (Iterator<TransformLayer> itr =tLayerPool.values().iterator(); itr.hasNext(); ) {\n TransformLayer layer = itr.next();\n layer.setAllTransformable();\n }\n }","public List<Boolean> getLayerVisibility ()\n {\n return Collections.unmodifiableList(_vis);\n }","@SuppressWarnings( { \"unchecked\",\"varargs\" } )\n LayerAssembly withActivators( Class<? extends Activator<Layer>>... activators );","private double[][] forwardPropogate(double[][] inputs, double[][] weights) {\n\t\tdouble[][] resultLayer = m.dot(inputs, weights);\n\t\tsigmoid(resultLayer);\n\t\treturn resultLayer;\n\t}","public Path visualizeAllFilters() throws ParseException{\n\t\tint nombreFiltres = (int) Math.ceil(Math.sqrt(this.layers[1].length));\n\t\tint pixelParFiltre = (int) Math.sqrt(this.layers[0].length);\n\t\tint ecart = (nombreFiltres-1);\n\t\tint taille = (nombreFiltres*pixelParFiltre)+ecart;\n\t\tdouble[][] allFilters = new double[taille][taille];\n\t\tfor(int k=0; k<taille; k++){\n\t\t\tfor(int j = 0; j<taille; j++){\n\t\t\t\tallFilters[k][j] = 1; \n\t\t\t}\n\t\t}\n\n\t\t\n\t\tfor(int i=0; i < this.layers[1].length; i++){\n\n\t\t\tdouble[] image1DFilter = new double[this.layers[0].length];\n\n\t\t\t/*For each filter we put one output \n\t\t\t * node to 1 the others to 0\n\t\t\t */\n\t\t\t\n\t\t\t\n\t\t\tfor(int j=0; j<this.layers[1].length; j++){\n\t\t\t\tif (j==i){\n\t\t\t\t\tthis.layers[1][j].setState(1);\n\t\t\t\t}\n\t\t\t\telse{\n\t\t\t\t\tthis.layers[1][j].setState(0);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t/*We update the visible layer given the distribution\n\t\t\t * of the hidden layer we set and store it in image1DFilter\n\t\t\t * \n\t\t\t */\n\t\t\t\n\t\t\t/*for(int k = 0; k < this.layers[0].length; k++){\n\t\t\t\tdouble x = this.layers[0][i].getBias();\n\t\t\t\tfor(int j = 0; j < this.layers[(0 + 1) % 2].length; j++){\n\t\t\t\t\tx += this.connections[k][j]*this.layers[1][j].getState();\n\t\t\t\t}\n\t\t\t\timage1DFilter[k]=Sigmoid.getINSTANCE().apply(x);\n\t\t\t}*/\n\t\t\t\n\t\t\tfor(int k = 0; k < this.layers[0].length; k++){\n\t\t\t\tdouble x = this.layers[0][k].getBias();\n\t\t\t\tx += this.connections[k][i];\n\t\t\t\timage1DFilter[k]=Sigmoid.getINSTANCE().apply(x);\n\t\t\t}\n\t\t\t\n\n\t\t\tdouble [][]image2DFilter = Tools.image1Dto2Ddouble(image1DFilter, pixelParFiltre, pixelParFiltre);\n\n\t\t\tint rang = i % nombreFiltres;\n\t\t\tint ligne =(int) Math.floor(i/nombreFiltres);\n\t\t\t\n\t\t\t// System.out.println(ligne + \",\" + rang );\n\n\t\t\tfor(int k = 0; k< image2DFilter[0].length; k++){\n\t\t\t\tfor(int j = 0; j<image2DFilter[0].length; j++){\n\t\t\t\t\tallFilters[ligne*(pixelParFiltre+1)+k][rang*(pixelParFiltre+1)+j]=image2DFilter[k][j];\n\t\t\t\t\t\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t/*\n\t\t\t * for(int o=0; o<image2DFilter[0].length -1 ; o++){\n\t\t\t\tfor(int j=0; j<image2DFilter[1].length; j++){\n\t\t\t\t\tSystem.out.println(image2DFilter[i][j]);\n\t\t\t\t}\n\t\t\t}\n\t\t\t *\n\t\t\t */\n\n\t\t\t\n\t\t}\n\t\t\n\t\t\n\t\t\n\t\tOutputWeights output = new OutputWeights(allFilters);\n\t\tString date = \"_\" + LocalDateTime.now();\n\t\tint month = LocalDateTime.now().getMonthValue();\n\t\tint year = LocalDateTime.now().getYear();\n\t\tint day = LocalDateTime.now().getDayOfMonth();\n\t\tint hour = LocalDateTime.now().getHour();\n\t\tint minute = LocalDateTime.now().getMinute();\n\t\tint seconde = LocalDateTime.now().getSecond();\n\t\t\n\t\tdate = day + \"-\" + month + \"-\" + year + \"_\" + hour + \"h\" + minute + \"m\" + seconde;\n\t\t\n\t\tPath path = Paths.get(\"RBM_Filters/Filtre_\" + date, date + \"_AllFilters\" + \".bmp\");\n\t\tFile f = new File(\"RBM_Filters/Filtre_\" + date);\n\t\tf.mkdirs();\n\t\ttry {\n\t\t\toutput.toBmp(path);\n\t\t\tSystem.out.println(\"Images Cr�es\");\n\t\t} catch (java.io.IOException e) {\n\n\t\t\tSystem.out.println(\"Exception\");\n\t\t\te.printStackTrace();\n\t\t}\n\t\t\n\t\treturn path;\n\t\t\n\t}","public void writeNumberOfHiddenLayers() {\r\n \r\n hiddenLayerContainer.setNumberOfHiddenLayers(numberOfHiddenLayers);\r\n }","protected void trainModuleNN(Map<DiscreteState, Double> out1f, int[] numHidden,\n\t\t\tint epochs, double lRate, double mRate, double sRate) {\n\t\tfor(int i = 0; i < epochs; i++) {\n//\t\t\tdouble err = 0;\n\t\t\tfor (Map.Entry<DiscreteState, Double> entry : out1f.entrySet()) {\n\t\t\t\tdouble[] input = entry.getKey().getRawState();\n\t\t\t\tif (neuralNet == null) neuralNet = new FFNeuralNetwork(ActivationFunction.SIGMOID0p5,\n\t\t\t\t\t\tinput.length, 1, numHidden);\n\t\t\t\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), input);\n\t\t\t\tFFNeuralNetwork.backPropagate(neuralNet.getOutputNodes(), lRate, mRate, sRate, entry.getValue());\n//\t\t\t\terr += FFNeuralNetwork.getError(new double[] {entry.getValue()}, neuralNet.getOutputNodes());\n\t\t\t}\n//\t\t\tSystem.out.println(i + \"\t\" + err / out1f.size());\n\t\t}\n//\t\tfor (Map.Entry<DiscreteState, Double> entry : out1f.entrySet()) {\n//\t\t\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), entry.getKey().getRawState());\n//\t\t\tSystem.out.println(entry.getValue() + \"\tvs\t\" + neuralNet.getOutputNodes().get(0).getActivation());\n//\t\t}\n\t\tif (rel2ModuleInput.isEmpty()) {\n\t\t\tArrayList<? extends Node> inputNodes = neuralNet.getInputNodes();\n\t\t\tint j = 0;\n\t\t\tfor (IndirectInput rel : relations) rel2ModuleInput.put(rel, inputNodes.get(j++));\n\t\t}\n\t}","public double[] execute(double[] inputs) {\n _layers[0] = inputs.clone();\n for (int i = 1; i < _layers.length; i++) {\n // Each iteration fills out the ith layer with the values needed.\n// System.out.println(\"i = \" + i);\n// System.out.println(\"layers[0].length: \" + _layers[0].length);\n _layers[i] = getNextLayer(_layers[i-1], _weights[i-1], _biases[i-1]);\n }\n return _layers[_layers.length-1];\n }","public void fire() {\n\t\tif (nextLayerNodes.size() == 0) {\n\t\t\t// todo: handle output layer\n//\t\t\tSystem.out.printf(\"\tOutput = %f%n\", output);\n\t\t\tSystem.out.printf(\"\tPre Activation Function Output = %f%n\", preActivationFunctionOutput);\n\t\t\treturn;\n\t\t}\n\t\tNode[] nextNodes = new Node[nextLayerNodes.keySet().toArray().length];\n\t\tfor (int i = 0; i < nextNodes.length; i++) {\n\t\t\tnextNodes[i] = (Node) nextLayerNodes.keySet().toArray()[i];\n\t\t}\n\t\tfor (int i = 0; i < nextLayerNodes.size(); i++) {\n\t\t\t// sends the weight of the connection to a node in the next layer * the output of the activation function from this layer\n\t\t\tnextNodes[i].addInput(nextLayerNodes.get(nextNodes[i])*output);\n\t\t}\n\t}","public static Map<String, Object> l_LAYER_MODEL_Generic(double[][] X,\r\n\t\t\tdouble[][] Y, int[] layerDimenstions,\r\n\t\t\tParameterInitializationType paramInitType, double learningRate,\r\n\t\t\tint numOfIterations, DeepNNOptimizers optimiser,\r\n\t\t\tDeepNNRegularizor regulizer, double dropOutKeepThreshould,\r\n\t\t\tDeepNNActivations hiddenLayersActivation,\r\n\t\t\tDeepNNActivations finalLayerActivation,\r\n\t\t\tDeepNNCostFunctions costFunction, int totalNumberOfBatches,\r\n\t\t\tboolean isMultiClassClassification, boolean iprintCost)\r\n\t\t\tthrows Exception {\r\n\r\n\t\tMatrixUtil.setSeed(IPredictionModelConstants.RANDOM_SEED_FOR_REPRODUCIBILITY);\r\n\r\n\t\t//XYSeries //seriesData = new XYSeries(\"Cost\");\r\n\t\t// X = np.T(X);\r\n\t\t// Y = np.T(Y);\r\n\r\n\t\t\r\n\t\tint m = X[0].length;\r\n\r\n\t\tMap<String, Object> parameters = DNNUtils.initializeParameterDeep(\r\n\t\t\t\tlayerDimenstions, m, paramInitType);\r\n\t\tMap<Enum<DeepNNKeysForMaps>, Object> AdamParameters = null;\r\n\t\tMap<String, Object> grads = null;\r\n\t\tMap<String, Object> actCaches = null;\r\n\t\tMap<String, Object> feedForwardResult = null;\r\n\t\tdouble[][] AL = null;\r\n\t\tint L = parameters.size() / 2, costPlotCount = 1;\r\n\t\tdouble cost = 0.0;\r\n\t\tdouble finalPrecision = 0.0, beta1 = 0.9, beta2 = 0.99, adamt = 2;\r\n\t\tdouble[][] X_reamining = X;\r\n\t\tdouble[][] Y_remaining = Y;\r\n\t\tdouble[][] X_Single_Batch = null, Y_Batch = null, Y_Single_batch = null;\r\n\t\tMap<String, Object> dropOutMap = new HashMap<>();\r\n\t\tMap<DeepNNKeysForMaps, Object> oneHotMatrixresult = null;\r\n\t\tMap<Enum<DeepNNKeysForMaps>, Object> resultMap = null;\r\n\t\tif (optimiser == DeepNNOptimizers.ADAM) {\r\n\t\t\tAdamParameters = DNNUtils.initializeAdamParameters(parameters);\r\n\t\t\tbeta1 = 0.9;\r\n\t\t\tbeta2 = 0.999;\r\n\t\t\tadamt = 2;\r\n\r\n\t\t}\r\n\t\tint ithBatchSize = totalNumberOfBatches;\r\n\t\tfor (int batch = 1; batch <= totalNumberOfBatches; batch++) {\r\n\r\n\t\t\tdouble firstBatchSize = 1 - (double) 1 / ithBatchSize--;\r\n\t\t\tif (batch != totalNumberOfBatches) {\r\n\t\t\t\tif (isMultiClassClassification) {\r\n\t\t\t\t\tresultMap = MatrixUtil.splitIntoTrainAndTestForClassification(\r\n\t\t\t\t\t\t\tX_reamining, Y_remaining, firstBatchSize);\r\n\t\t\t\t} else {\r\n\t\t\t\t\tresultMap = MatrixUtil.splitIntoTrainAndTestForRegression(\r\n\t\t\t\t\t\t\tX_reamining, Y_remaining, firstBatchSize);\r\n\t\t\t\t}\r\n\r\n\t\t\t\tX_reamining = (double[][]) resultMap\r\n\t\t\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_FEATURE_MATRIX);\r\n\t\t\t\tY_remaining = (double[][]) resultMap\r\n\t\t\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_OUTPUT_LABEL);\r\n\t\t\t\tX_Single_Batch = (double[][]) resultMap\r\n\t\t\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_FEATURE_MATRIX_TEST);\r\n\t\t\t\tY_Batch = (double[][]) resultMap\r\n\t\t\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_OUTPUT_LABEL_TEST);\r\n\r\n\t\t\t\tif (isMultiClassClassification) {\r\n\t\t\t\t\toneHotMatrixresult = MatrixUtil.createOneHotVectorMatrix(Y_Batch);\r\n\t\t\t\t\tint numberOfClasses = (int) oneHotMatrixresult\r\n\t\t\t\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_NUMBER_OF_CLASSES);\r\n\t\t\t\t\tif (numberOfClasses != layerDimenstions[layerDimenstions.length - 1]) {\r\n\t\t\t\t\t\tSystem.err\r\n\t\t\t\t\t\t\t\t.println(\"not enough dimensions sampled, so eskipping the batch with size :\"\r\n\t\t\t\t\t\t\t\t\t\t+ X_Single_Batch.length);\r\n\t\t\t\t\t\tcontinue;\r\n\t\t\t\t\t}\r\n\t\t\t\t\tY_Single_batch = (double[][]) oneHotMatrixresult\r\n\t\t\t\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_ONE_HOT_MATRIX);\r\n\t\t\t\t} else {\r\n\r\n\t\t\t\t\tY_Single_batch = Y_Batch;\r\n\t\t\t\t}\r\n\r\n\t\t\t} else {\r\n\t\t\t\tX_Single_Batch = X_reamining;\r\n\t\t\t\tif (isMultiClassClassification) {\r\n\t\t\t\t\toneHotMatrixresult = MatrixUtil\r\n\t\t\t\t\t\t\t.createOneHotVectorMatrix(Y_remaining);\r\n\t\t\t\t\tint numberOfClasses = (int) oneHotMatrixresult\r\n\t\t\t\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_NUMBER_OF_CLASSES);\r\n\t\t\t\t\tY_Single_batch = (double[][]) oneHotMatrixresult\r\n\t\t\t\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_ONE_HOT_MATRIX);\r\n\t\t\t\t\tif (numberOfClasses != layerDimenstions[layerDimenstions.length - 1]) {\r\n\t\t\t\t\t\tSystem.err\r\n\t\t\t\t\t\t\t\t.println(\"not enough dimension result sampled, so eskipping the batch with size :\"\r\n\t\t\t\t\t\t\t\t\t\t+ X_Single_Batch.length);\r\n\t\t\t\t\t\tcontinue;\r\n\t\t\t\t\t}\r\n\t\t\t\t} else {\r\n\t\t\t\t\tY_Single_batch = Y_remaining;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tm = X_Single_Batch.length;\r\n\t\t\tMatrixUtil.print(\"==============epoch :\" + batch + \"/ \"\r\n\t\t\t\t\t+ totalNumberOfBatches + \" with size: \"\r\n\t\t\t\t\t+ X_Single_Batch.length);\r\n\t\t\tX_Single_Batch = MatrixUtil.T(X_Single_Batch);\r\n\t\t\tY_Single_batch = MatrixUtil.T(Y_Single_batch);\r\n\r\n\t\t\tfor (int i = 0; i < numOfIterations; i++) {\r\n\t\t\t\tStopwatch stopWatch = new Stopwatch();\r\n\t\t\t\tfeedForwardResult = DNNUtils.L_model_forward_Generic(\r\n\t\t\t\t\t\tX_Single_Batch, parameters, hiddenLayersActivation,\r\n\t\t\t\t\t\tfinalLayerActivation, regulizer, dropOutKeepThreshould,\r\n\t\t\t\t\t\tdropOutMap);\r\n\t\t\t\tactCaches = (Map<String, Object>) feedForwardResult.get(String\r\n\t\t\t\t\t\t.valueOf(\"actCache_\" + (L)));\r\n\t\t\t\tAL = (double[][]) actCaches.get(String.valueOf(\"A\"));\r\n\t\t\t\t// System.out.println(\"time taking in forward propogation: \"+stopWatch.elapsedTime());\r\n\t\t\t\tcost = DNNUtils.getCost(m, Y_Single_batch, AL, costFunction);\r\n\r\n\t\t\t\t//seriesData.add((costPlotCount++), cost);\r\n\t\t\t\t//\r\n\t\t\t\t// stopWatch=new Stopwatch();\r\n\t\t\t\tgrads = DNNUtils.L_model_backward_Generic(AL, Y_Single_batch,\r\n\t\t\t\t\t\tfeedForwardResult, hiddenLayersActivation,\r\n\t\t\t\t\t\tfinalLayerActivation, costFunction, regulizer,\r\n\t\t\t\t\t\tdropOutKeepThreshould, dropOutMap); // here i\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// should\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// pass both\r\n\t\t\t\t// System.out.println(\"time taking in backward propogation: \"+stopWatch.elapsedTime());\r\n\t\t\t\t// // cashes;\r\n\t\t\t\tif (optimiser == DeepNNOptimizers.ADAM) {\r\n\t\t\t\t\tAdamParameters = DNNUtils.updateParametersWithAdams(\r\n\t\t\t\t\t\t\tparameters, grads, AdamParameters, adamt,\r\n\t\t\t\t\t\t\tlearningRate, beta1, beta2,\r\n\t\t\t\t\t\t\tIPredictionModelConstants.EPSILON);\r\n\t\t\t\t\tparameters = (Map<String, Object>) AdamParameters\r\n\t\t\t\t\t\t\t.get(DeepNNKeysForMaps.KEY_FOR_NN_PARAMETERS);\r\n\t\t\t\t} else {\r\n\t\t\t\t\tparameters = DNNUtils.updateParametersWithGD(parameters,\r\n\t\t\t\t\t\t\tgrads, learningRate);\r\n\t\t\t\t}\r\n\r\n\t\t\t\tif (i % 400 == 0 && iprintCost) {\r\n\t\t\t\t\tMatrixUtil.print(\"==============\");\r\n\t\t\t\t\tMatrixUtil.print(\"Cost = \" + cost);\r\n\t\t\t\t\t// np.print(\"Predictions = \" + Arrays.deepToString(AL));\r\n\t\t\t\t\t// np.print(\"Real = \" + Arrays.deepToString(Y));\r\n\t\t\t\t\tif (isMultiClassClassification) {\r\n\t\t\t\t\t\tfinalPrecision = DNNUtils\r\n\t\t\t\t\t\t\t\t.accuracyForMultiClassClassification(AL,\r\n\t\t\t\t\t\t\t\t\t\tY_Single_batch);\r\n\t\t\t\t\t\t// np.printshapes(AL, Y_OneHot);\r\n\t\t\t\t\t\tMatrixUtil.print(\"Predicted multiclass classification precision= \"\r\n\t\t\t\t\t\t\t\t+ finalPrecision);\r\n\t\t\t\t\t} else {\r\n\t\t\t\t\t\tfinalPrecision = DNNUtils.accuracyForClassification(AL,\r\n\t\t\t\t\t\t\t\tY_Single_batch);\r\n\t\t\t\t\t\tMatrixUtil.print(\"Predicted classification precision= \"\r\n\t\t\t\t\t\t\t\t+ finalPrecision);\r\n\t\t\t\t\t}\r\n\r\n\t\t\t\t\r\n\t\t\t\t} else if (i % 40 == 0 && !iprintCost) {\r\n\t\t\t\t\tMatrixUtil.print(\"Cost = \" + cost);\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\treturn parameters;\r\n\t}"],"string":"[\n \"public void initLayers() {\\n\\t\\t/* Initialise the weights */\\n\\t Random rng = new Random(1);\\n double distributeRandom = 1.0 / SIZE_INPUT_LAYER;\\n\\t\\tweightsOfHiddenLayer = new double[SIZE_HIDDEN_LAYER][SIZE_INPUT_LAYER]; \\n\\t\\tweightsOfOutputLayer = new double[SIZE_OUTPUT_LAYER][SIZE_HIDDEN_LAYER]; \\n\\t\\t/* Initialise the biases */\\n\\t\\tbiasOfHiddenLayer = new double[SIZE_HIDDEN_LAYER];\\n\\t\\tbiasOfOutputLayer = new double[SIZE_OUTPUT_LAYER];\\t\\t\\n\\t\\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\\n\\t\\t\\tfor(int j = 0; j < SIZE_INPUT_LAYER; j++) {\\n\\t\\t\\t\\tweightsOfHiddenLayer[i][j] = rng.nextDouble() * (distributeRandom - (-distributeRandom)) + (-distributeRandom);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tfor(int i = 0; i < SIZE_OUTPUT_LAYER; i++) {\\n\\t\\t\\tfor(int j = 0; j < SIZE_HIDDEN_LAYER; j++) {\\n\\t\\t\\t\\tweightsOfOutputLayer[i][j] = rng.nextDouble() * (distributeRandom - (-distributeRandom)) + (-distributeRandom);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"private void createHiddenLayer() {\\r\\n\\t\\tint layers = 1;\\r\\n\\t\\t\\r\\n\\t\\tint hiddenLayerSize = 0; \\r\\n\\t\\tint prevLayerSize = numAttributes;\\r\\n\\t\\t\\r\\n\\t\\tfor (int layer = 0; layer < layers; layer++) {\\r\\n\\t\\t\\thiddenLayerSize = (numAttributes + numClasses) / 2;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tfor (int nob = 0; nob < hiddenLayerSize; nob++) {\\r\\n\\t\\t\\t\\tInnerNode temp = new InnerNode(String.valueOf(nextId), random);\\r\\n\\t\\t\\t\\tnextId++;\\r\\n\\t\\t\\t\\taddNode(temp);\\r\\n\\t\\t\\t\\tif (layer > 0) {\\r\\n\\t\\t\\t\\t\\t// then do connections\\r\\n\\t\\t\\t\\t\\tfor (int noc = innerNodes.size() - nob - 1 - prevLayerSize; noc < innerNodes.size() - nob - 1; noc++) {\\r\\n\\t\\t\\t\\t\\t\\tNeuralNode.connect(innerNodes.get(noc), temp);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tprevLayerSize = hiddenLayerSize;\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tif (hiddenLayerSize == 0) {\\r\\n\\t\\t\\tfor (InputNode input : inputs) {\\r\\n\\t\\t\\t\\tfor (NeuralNode node : innerNodes) {\\r\\n\\t\\t\\t\\t\\tNeuralNode.connect(input, node);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tfor (NeuralNode input : inputs) {\\r\\n\\t\\t\\t\\tfor (int nob = numClasses; nob < numClasses + hiddenLayerSize; nob++) {\\r\\n\\t\\t\\t\\t\\tNeuralNode.connect(input, innerNodes.get(nob));\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tfor (int noa = innerNodes.size() - prevLayerSize; noa < innerNodes.size(); noa++) {\\r\\n\\t\\t\\t\\tfor (int nob = 0; nob < numClasses; nob++) {\\r\\n\\t\\t\\t\\t\\tNeuralNode.connect(innerNodes.get(noa), innerNodes.get(nob));\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"private void backwardPropagation(int[] trainingData, int[] trainingLabel, double[] outputActivations, double[] hiddenActiv) {\\n\\t\\tdouble[] delta = new double[SIZE_OUTPUT_LAYER];\\n\\t\\t// Update OutputLayer weights\\n\\t\\tfor(int indexOutput = 0; indexOutput < SIZE_OUTPUT_LAYER; indexOutput++) {\\n\\t\\t\\t// We define delta as the difference between the real label and the softmax probability\\n\\t\\t\\tdelta[indexOutput] = trainingLabel[indexOutput] - outputActivations[indexOutput];\\n\\n\\t\\t\\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\\n\\t\\t\\t\\tweightsOfOutputLayer[indexOutput][indexHidden] += learningRate * delta[indexOutput] * hiddenActiv[indexHidden] / datasetSize;\\n\\t\\t\\t}\\t\\n\\t\\t\\tbiasOfOutputLayer[indexOutput] += learningRate * delta[indexOutput] / datasetSize;\\n\\t\\t}\\t\\n\\t\\t// Create delta2 \\n\\t\\tdouble[] delta2 = new double[SIZE_HIDDEN_LAYER];\\n\\t\\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\\n\\t\\t\\tdelta2[i] = 0;\\n\\t\\t\\tfor(int j = 0; j < SIZE_OUTPUT_LAYER; j++) {\\n\\t\\t\\t\\t// Why is it multiplying the weights for delta1?\\n\\t\\t\\t\\tdelta2[i] += delta[j] * weightsOfOutputLayer[j][i];\\n\\t\\t\\t}\\n\\t\\t\\tdelta2[i] *= dtanh(hiddenActiv[i]);\\n\\t\\t}\\n\\t\\t// Update HiddenLayer weights\\n\\t\\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\\n\\t\\t\\tfor(int j = 0; j < SIZE_INPUT_LAYER; j++) {\\n weightsOfHiddenLayer[i][j] += learningRate * delta2[i] * (double)trainingData[j] / datasetSize;\\n\\t\\t\\t}\\n biasOfHiddenLayer[i] += learningRate * delta2[i] / datasetSize;\\n\\t\\t}\\t\\n\\t}\",\n \"public interface Layer {\\n /**\\n * @return The number of neurons, excluding bias neurons and context neurons. This is the number of neurons that\\n * are directly fed from elsewhere.\\n */\\n int getCount();\\n\\n /**\\n * @return The number of neurons, including bias neurons and context neurons.\\n */\\n int getTotalCount();\\n\\n /**\\n * @return The activation/transfer function for this neuron.\\n */\\n ActivationFunction getActivation();\\n\\n /**\\n * Finalize the structure of this layer.\\n * @param theOwner The neural network that owns this layer.\\n * @param theLayerIndex The zero-based index of this layer.\\n * @param counts The counts structure to track the weight and neuron counts.\\n */\\n void finalizeStructure(BasicNetwork theOwner, int theLayerIndex,\\n TempStructureCounts counts);\\n\\n /**\\n * Compute this layer.\\n */\\n void computeLayer();\\n\\n /**\\n * Compute the gradients for this layer.\\n * @param calc The gradient calculation utility.\\n */\\n void computeGradient(GradientCalc calc);\\n\\n /**\\n * @return The start of this layer's weights in the weight vector.\\n */\\n int getWeightIndex();\\n\\n /**\\n * @return The start of this layer's neurons in the neuron vector.\\n */\\n int getNeuronIndex();\\n\\n /**\\n * Notification that a training batch is beginning.\\n * @param rnd A random number generator, from the trainer.\\n */\\n void trainingBatch(GenerateRandom rnd);\\n\\n /**\\n * @return The owner of the neural network.\\n */\\n BasicNetwork getOwner();\\n\\n /**\\n * @return True if this neuron has bias.\\n */\\n boolean hasBias();\\n}\",\n \"public void calculateDesireHiddenLayerActivation(int dataIndex) {\\r\\n for (int i = 0; i < hiddenLayer.length; i++) {\\r\\n double count = 0;\\r\\n for (int j = 0; j < outputLayer.length; j++) {\\r\\n count += -2*((attribute[dataIndex] == i ? 1 : 0) - sigmoid(outputLayer[j].z))*sigmoidDeri(outputLayer[j].z)*outputLayer[j].dw[i];\\r\\n }\\r\\n desireHiddenLayerActivation[i] = hiddenLayer[i].a - count / outputLayer.length;\\r\\n }\\r\\n }\",\n \"public void activate() {\\t\\t\\n\\t\\t// Put activation code here (computing output based on the network's inputs)\\n }\",\n \"public ElmanNeuralNetwork(Neuron output, List<Neuron> inputLayer, List<List<Neuron>> hiddenLayers, DoubleUnaryOperator activationFunction) {\\n\\t\\tsuper(output, inputLayer, hiddenLayers, activationFunction);\\n\\t}\",\n \"public boolean isActiveLayerVisible() {\\n\\t\\treturn false;\\n\\t}\",\n \"public void calculateOutput() {\\n inputSum = 0.0;\\n //for output (linear) neuron\\n if (layer == 0) {\\n for (int i = 0; i < inputs; ++i) {\\n inputSum += weights[i] * network.getInput()[i];\\n }\\n }\\n //for Sigmoidal neurons\\n else {\\n for(int i = 0; i < inputs; ++i) {\\n inputSum += weights[i] * network.getNeurons()[layer - 1][i].output;\\n }\\n }\\n if (enableConstAddend) {\\n inputSum += weights[inputs];\\n }\\n output = activate(inputSum);\\n }\",\n \"private List<Matrix> buildSamplesFromActivatedHiddenLayers(final List<Matrix> sampleData, final int layer, RBMLayer[] rbmLayers) {\\n final RBMLayer rbmLayer = rbmLayers[layer];\\n\\n if(layer == 0) {\\n return sampleData;\\n }\\n else {\\n final RBMLayer previousLayer = rbmLayers[layer - 1];\\n Matrix[] previousLayerOutputs = new Matrix[previousLayer.size()];\\n for(int r = 0; r < previousLayer.size(); r++) {\\n final RBM rbm = previousLayer.getRBM(r);\\n previousLayerOutputs[r] = this.contrastiveDivergence.runVisible(rbm, sampleData.get(r));\\n }\\n // combine all outputs off hidden layer, then re-split them to input into the next visual layer\\n return DenseMatrix.make(Matrix.concatColumns(previousLayerOutputs)).splitColumns(rbmLayer.size());\\n }\\n }\",\n \"public void activate() {\\n double dotProduct = 0;\\n for (Synapse s : super.getSynapsesIn()) {\\n dotProduct += s.getNeuronFrom().getOutput() * s.getWeight();\\n }\\n super.setOutput(sigmoidFunction(dotProduct));\\n }\",\n \"public void train(double[] inputs, double[] outputsTarget) {\\n assert(outputsTarget.length == weights.get(weights.size() - 1).length);\\n \\n ArrayList<double[]> layersOutputs = new ArrayList<double[]>(); \\n classify(inputs, layersOutputs);\\n\\n // Calculate sensitivities for the output nodes\\n int outputNeuronCount = this.weights.get(this.weights.size() - 1).length;\\n double[] nextLayerSensitivities = new double[outputNeuronCount];\\n assert(layersOutputs.get(layersOutputs.size() - 1).length == outputNeuronCount);\\n for (int i = 0; i < outputNeuronCount; i++) {\\n nextLayerSensitivities[i] = calculateErrorPartialDerivitive(\\n layersOutputs.get(layersOutputs.size() - 1)[i],\\n outputsTarget[i]\\n ) * calculateActivationDerivitive(layersOutputs.get(layersOutputs.size() - 1)[i]);\\n assert(!Double.isNaN(nextLayerSensitivities[i]));\\n }\\n\\n for (int weightsIndex = this.weights.size() - 1; weightsIndex >= 0; weightsIndex--) {\\n int previousLayerNeuronCount = this.weights.get(weightsIndex)[0].length;\\n int nextLayerNeuronCount = this.weights.get(weightsIndex).length;\\n assert(nextLayerSensitivities.length == nextLayerNeuronCount);\\n\\n double[] previousLayerOutputs = layersOutputs.get(weightsIndex);\\n double[] previousLayerSensitivities = new double[previousLayerNeuronCount];\\n\\n // Iterate over neurons in the previous layer\\n for (int j = 0; j < previousLayerNeuronCount; j++) {\\n\\n // Calculate the sensitivity of this node\\n double sensitivity = 0;\\n for (int i = 0; i < nextLayerNeuronCount; i++) {\\n sensitivity += nextLayerSensitivities[i] * this.weights.get(weightsIndex)[i][j];\\n }\\n sensitivity *= calculateActivationDerivitive(previousLayerOutputs[j]);\\n assert(!Double.isNaN(sensitivity));\\n previousLayerSensitivities[j] = sensitivity;\\n\\n for (int i = 0; i < nextLayerNeuronCount; i++) {\\n double weightDelta = learningRate * nextLayerSensitivities[i] * calculateActivation(previousLayerOutputs[j]);\\n this.weights.get(weightsIndex)[i][j] += weightDelta;\\n assert(!Double.isNaN(this.weights.get(weightsIndex)[i][j]) && !Double.isInfinite(this.weights.get(weightsIndex)[i][j]));\\n }\\n }\\n\\n nextLayerSensitivities = previousLayerSensitivities;\\n }\\n }\",\n \"float activate(float[] input) {\\n if (inputLayer.length != input.length) throw new IllegalArgumentException(\\\"input.length and inputLayer.length do not match\\\");\\n\\n System.arraycopy(input, 0, inputLayer, 0, inputLayer.length);\\n\\n // Calculate the output\\n process();\\n\\n return outputLayer;\\n }\",\n \"public void chooseBiasValue() {\\r\\n \\r\\n if (biasMode.charAt(0) == 't')\\r\\n {\\r\\n for (int i=0; i < hiddenLayerContainer.getHiddenLayerContainer().size(); i++){\\r\\n hiddenLayerContainer.getHiddenLayerContainer().get(i).setBiasActive(true);\\r\\n }\\r\\n outputLayer.setBiasActive(true);\\r\\n }\\r\\n }\",\n \"public interface MultiLayerModel extends ReadOnlyModel {\\n\\n /**\\n * filters image based on operation given.\\n *\\n * @param img the image\\n * @param multiplier the number of times to filter\\n * @param operation operation to do\\n * @return array of pixels\\n */\\n List<List<Pixel>> filter(Image img, int multiplier, String operation);\\n\\n /**\\n * transforms image based on operation given.\\n *\\n * @param img the image\\n * @param operation operation to do\\n * @return array of pixels\\n */\\n List<List<Pixel>> transform(Image img, String operation);\\n\\n /**\\n * creates a layer in the model.\\n */\\n Layer createLayer();\\n\\n /**\\n * A method used to set the given image.\\n *\\n * @param image the image\\n * @param layer the layer\\n */\\n void setImage(Layer layer, Image image);\\n\\n /**\\n * A method meant to determine the visibility of the layer, determined by the user; is true unless\\n * the user specifies that the layer should be invisible.\\n *\\n * @param visibility the visibility\\n * @param layer the layer\\n */\\n void setVisibility(Layer layer, boolean visibility);\\n\\n\\n /**\\n * Adds a layer to this model.\\n *\\n * @param whichLayer where to add layer\\n * @param layer the layer\\n */\\n\\n void addLayer(Layer layer, int whichLayer);\\n\\n\\n /**\\n * Creates an image from a pixelArray.\\n *\\n * @param pixelArray the array\\n * @return the created Image\\n */\\n Image createImage(List<List<Pixel>> pixelArray);\\n\\n\\n /**\\n * Removes a layer from this model.\\n *\\n * @param whichLayer the layer to remove\\n */\\n void removeLayer(int whichLayer);\\n\\n\\n /**\\n * Determines if the layers all have same dimensions.\\n *\\n * @param layers the layers\\n * @return the boolean true or false\\n */\\n boolean sameDimensions(List<Layer> layers);\\n\\n /**\\n * Determines if the pixelArray as equal dimensions.\\n *\\n * @param pixelArray the pixelArray\\n * @return the boolean true or false\\n */\\n boolean equalPixelArrayDim(List<List<Pixel>> pixelArray);\\n\\n /**\\n * Gets top most visible layer.\\n *\\n * @return the top most visible layer\\n */\\n Layer getTopMostVisible();\\n\\n\\n}\",\n \"private void updateHiddenLayersErrors() {\\r\\n\\t\\t// Back iterate hidden layers\\r\\n\\t\\tList<Layer> layers = getNetwork().getLayers();\\r\\n\\t\\tfor (int i = layers.size() - 2; i > 0; i--) {\\r\\n\\t\\t\\tLayer layer = layers.get(i);\\r\\n\\t\\t\\t// Iterate the neurons of the layer\\r\\n\\t\\t\\tList<Neuron> neurons = layer.getNeurons();\\r\\n\\t\\t\\tfor (Neuron neuron : neurons) {\\r\\n\\t\\t\\t\\t// Do update.\\r\\n\\t\\t\\t\\tupdateHiddenLayersErrors(neuron);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"boolean isOutputNeuron();\",\n \"private double[] getNextLayer(double[] prevLayer, double[][] weights, double[] biases) {\\n double[] output = new double[weights.length];\\n for (int i = 0; i < output.length; i++) {\\n // Runs for each output node.\\n double outputI = 0.0;\\n for (int j = 0; j < weights[i].length; j++) {\\n // Runs for each input node connected to that output node.\\n outputI += weights[i][j] * prevLayer[j];\\n }\\n outputI += biases[i];\\n output[i] = sigmoid(outputI);\\n }\\n return output;\\n }\",\n \"public void testConvolution() {\\n ConvolutionLayer cl1 = new ConvolutionLayer(28, 28, 32, 5, 1, 1, ActivationFunction.RELU);\\r\\n cl1.setName(\\\"Conv1\\\");\\r\\n PoolLayer pl1 = new PoolLayer(28, 28, 32, 2, 2, 1);\\r\\n pl1.setName(\\\"Pool1\\\");\\r\\n ConvolutionLayer cl2 = new ConvolutionLayer(14, 14, 32, 64, 5, 1, 1, ActivationFunction.LEAKYRELU);\\r\\n cl2.setName(\\\"Conv2\\\");\\r\\n PoolLayer pl2 = new PoolLayer(14, 14, 64, 2, 2, 1);\\r\\n pl2.setName(\\\"Pool2\\\");\\r\\n Layer full = new Layer(pl2.getNrOfOutputs(), 1, 10, ActivationFunction.CESIGMOID);\\r\\n full.setName(\\\"full\\\");\\r\\n full.setDropRate(.3f);\\r\\n\\r\\n DeepLayer dl = new DeepLayer(new LearningRateConst(LEARNING_RATE), cl1, pl1, cl2, pl2, full);\\r\\n dl.setCostFunction(new CrossEntropyCostFunction());\\r\\n\\r\\n BinImageReader bir = new BinImageReader(\\\"/data/train-images.idx3-ubyte.bin\\\");\\r\\n fmatrix images = bir.getResult();\\r\\n System.out.println(images.getSizeAsString());\\r\\n\\r\\n BinLabelReader blr = new BinLabelReader(\\\"/data/train-labels.idx1-ubyte.bin\\\");\\r\\n fmatrix trainSetLabels = blr.getResult();\\r\\n System.out.println(trainSetLabels.getSizeAsString());\\r\\n\\r\\n Random r = new Random(System.currentTimeMillis());\\r\\n dl.randomizeWeights(r, -.1f, .1f);\\r\\n\\r\\n int maxImage = images.getNrOfColumns();\\r\\n fmatrix image = new fmatrix(1, images.getNrOfColumns());\\r\\n fmatrix target = new fmatrix(1, 10);\\r\\n\\r\\n System.out.println(image.getSizeAsString());\\r\\n String weightFolder = \\\"weights/\\\" + dl.getTrainingStartTimeAsFolder();\\r\\n for (int i = 0; i < TRAIN_ITERATIONS; ++i) {\\r\\n target.reset();\\r\\n for (int b = 0; b < 1; ++b) {\\r\\n int nextImage = r.nextInt(maxImage);\\r\\n images.getRow(nextImage, b, image);\\r\\n\\r\\n int digit = (int) trainSetLabels.get(0, nextImage);\\r\\n target.set(b, digit, 1);\\r\\n }\\r\\n dl.train(i, image, target, TrainingMode.BATCH);\\r\\n// if (i == 0) {\\r\\n// dl.writeOutputImages();\\r\\n// }\\r\\n if (i % BATCH_SIZE == 0) {\\r\\n dl.adaptWeights(i, BATCH_SIZE);\\r\\n }\\r\\n\\r\\n if (i % WEIGHT_DEBUG_CYCLE == 0) {\\r\\n dl.writeWeightImages(weightFolder, i);\\r\\n }\\r\\n }\\r\\n\\r\\n dl.writeWeightImages(weightFolder, TRAIN_ITERATIONS);\\r\\n testDigitRecognition(dl, 1, r);\\r\\n }\",\n \"private void filterResultLayers() {\\n\\n\\t\\tif (this.modifyNewLayerName) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\n\\t\\tloadComboWithLayerList(comboTargetLayer, ParameterName.TARGET_GEOMETRY_CLASS);\\n\\t\\tloadResultLayersGeometry();\\n\\t\\trestoreSelectedTargetLayer();\\n\\t}\",\n \"public void adjust(double learningRate, boolean layer){\\r\\n //Layer false == adjust hiddenLayer\\r\\n //Layer true == adjust outputLayer\\r\\n if (layer) {\\r\\n for (int i = 0; i < outputLayer.length; i++) {\\r\\n for (int j = 0; j < outputLayer[i].weights.length; j++) {\\r\\n outputLayer[i].weights[j] -= learningRate*outputLayer[i].dw[j];\\r\\n }\\r\\n outputLayer[i].bias -= learningRate*outputLayer[i].db;\\r\\n }\\r\\n } else {\\r\\n for (int i = 0; i < hiddenLayer.length; i++) {\\r\\n for (int j = 0; j < hiddenLayer[i].weights.length; j++) {\\r\\n hiddenLayer[i].weights[j] -= learningRate*hiddenLayer[i].dw[j];\\r\\n }\\r\\n hiddenLayer[i].bias -= learningRate*hiddenLayer[i].db;\\r\\n }\\r\\n }\\r\\n }\",\n \"public static MultiLayerNetwork alexnetModel(Integer numLabels) {\\n\\n double nonZeroBias = 1;\\n double dropOut = 0.5;\\n\\n MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder()\\n .seed(seed)\\n .weightInit(WeightInit.DISTRIBUTION)\\n .dist(new NormalDistribution(0.0, 0.01))\\n .activation(Activation.RELU)\\n .updater(new Nesterovs(new StepSchedule(ScheduleType.ITERATION, 1e-2, 0.1, 100000), 0.9))\\n .biasUpdater(new Nesterovs(new StepSchedule(ScheduleType.ITERATION, 2e-2, 0.1, 100000), 0.9))\\n .gradientNormalization(GradientNormalization.RenormalizeL2PerLayer) // normalize to prevent vanishing or exploding gradients\\n .l2(5 * 1e-4)\\n .list()\\n .layer(0, convInit(\\\"cnn1\\\", channels, 96, new int[]{11, 11}, new int[]{4, 4}, new int[]{3, 3}, 0))\\n .layer(1, new LocalResponseNormalization.Builder().name(\\\"lrn1\\\").build())\\n .layer(2, maxPool(\\\"maxpool1\\\", new int[]{3, 3}))\\n .layer(3, conv5x5(\\\"cnn2\\\", 256, new int[]{1, 1}, new int[]{2, 2}, nonZeroBias))\\n .layer(4, new LocalResponseNormalization.Builder().name(\\\"lrn2\\\").build())\\n .layer(5, maxPool(\\\"maxpool2\\\", new int[]{3, 3}))\\n .layer(6, conv3x3(\\\"cnn3\\\", 384, 0))\\n .layer(7, conv3x3(\\\"cnn4\\\", 384, nonZeroBias))\\n .layer(8, conv3x3(\\\"cnn5\\\", 256, nonZeroBias))\\n .layer(9, maxPool(\\\"maxpool3\\\", new int[]{3, 3}))\\n .layer(10, fullyConnected(\\\"ffn1\\\", 4096, nonZeroBias, dropOut, new GaussianDistribution(0, 0.005)))\\n .layer(11, fullyConnected(\\\"ffn2\\\", 4096, nonZeroBias, dropOut, new GaussianDistribution(0, 0.005)))\\n .layer(12, new OutputLayer.Builder(LossFunctions.LossFunction.NEGATIVELOGLIKELIHOOD)\\n .name(\\\"output\\\")\\n .nOut(numLabels)\\n .activation(Activation.SOFTMAX)\\n .build())\\n .backprop(true)\\n .pretrain(false)\\n .setInputType(InputType.convolutional(height, width, channels))\\n .build();\\n\\n return new MultiLayerNetwork(conf);\\n\\n }\",\n \"public Layer getActiveLayer() {\\n\\t\\treturn null;\\n\\t}\",\n \"public void testConvolution2() {\\n ConvolutionLayer cl1 = new ConvolutionLayer(28, 28, 32, 5, 1, 1,ActivationFunction.LEAKYRELU);\\r\\n cl1.setName(\\\"Conv1\\\");\\r\\n PoolLayer pl1 = new PoolLayer(28, 28, 32, 2, 2,1);\\r\\n pl1.setName(\\\"Pool1\\\");\\r\\n\\r\\n FuzzyficationLayer fl = new FuzzyficationLayer(pl1.getNrOfOutputs(), 10, 1);\\r\\n\\r\\n Layer full = new Layer(fl.getNrOfOutputs(), 0, 10, ActivationFunction.CESIGMOID);\\r\\n full.setName(\\\"full\\\");\\r\\n full.setDropRate(.003f);\\r\\n\\r\\n DeepLayer dl = new DeepLayer(new LearningRateConst(LEARNING_RATE), cl1, pl1, fl, full);\\r\\n dl.setCostFunction(new CrossEntropyCostFunction());\\r\\n\\r\\n BinImageReader bir = new BinImageReader(\\\"/data/train-images.idx3-ubyte.bin\\\");\\r\\n fmatrix images = bir.getResult();\\r\\n System.out.println(images.getSizeAsString());\\r\\n\\r\\n BinLabelReader blr = new BinLabelReader(\\\"/data/train-labels.idx1-ubyte.bin\\\");\\r\\n fmatrix trainSetLabels = blr.getResult();\\r\\n System.out.println(trainSetLabels.getSizeAsString());\\r\\n\\r\\n Random r = new Random(System.currentTimeMillis());\\r\\n dl.randomizeWeights(r, -.1f, .1f);\\r\\n\\r\\n int maxImage = images.getNrOfColumns();\\r\\n fmatrix image = new fmatrix(1, images.getNrOfColumns());\\r\\n fmatrix target = new fmatrix(1, 10);\\r\\n\\r\\n System.out.println(image.getSizeAsString());\\r\\n String weightFolder = \\\"weights/\\\" + dl.getTrainingStartTimeAsFolder();\\r\\n for (int i = 0; i < TRAIN_ITERATIONS; ++i) {\\r\\n target.reset();\\r\\n for (int b = 0; b < 1; ++b) {\\r\\n int nextImage = r.nextInt(maxImage);\\r\\n images.getRow(nextImage, b, image);\\r\\n\\r\\n int digit = (int) trainSetLabels.get(0, nextImage);\\r\\n target.set(b, digit, 1);\\r\\n }\\r\\n dl.train(i, image, target, TrainingMode.BATCH);\\r\\n// if (i == 0) {\\r\\n// dl.writeOutputImages();\\r\\n// }\\r\\n if (i % BATCH_SIZE == 0) {\\r\\n dl.adaptWeights(i, BATCH_SIZE);\\r\\n }\\r\\n\\r\\n if (i % WEIGHT_DEBUG_CYCLE == 0) {\\r\\n dl.writeWeightImages(weightFolder, i);\\r\\n }\\r\\n }\\r\\n dl.writeWeightImages(weightFolder, TRAIN_ITERATIONS);\\r\\n\\r\\n DeepLayerWriter dlw = new DeepLayerWriter();\\r\\n Path export = Paths.get(System.getProperty(\\\"user.home\\\"), \\\".nn\\\", weightFolder, \\\"final.nn\\\");\\r\\n dlw.writeDeepLayer(export, dl);\\r\\n testDigitRecognition(dl, 1, r);\\r\\n }\",\n \"private void createOutputLayer(Instances instances) throws Exception {\\r\\n\\t\\toutputs.clear();\\r\\n\\t\\tfor (int classIndex = 0; classIndex < numClasses; classIndex++) {\\r\\n\\t\\t\\tString name;\\r\\n\\t\\t\\tif (configuration.isNumeric()) {\\r\\n\\t\\t\\t\\tname = instances.classAttribute().name();\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tname = instances.classAttribute().value(classIndex);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tOutputNode output = new OutputNode(name, classIndex, configuration);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tInnerNode temp = new InnerNode(String.valueOf(nextId), random);\\r\\n\\t\\t\\tnextId++;\\r\\n\\t\\t\\taddNode(temp);\\r\\n\\t\\t\\tNeuralNode.connect(temp, output);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\toutputs.add(output);\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"public NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Double [][]hiddenWeights, Double[] outputWeights)\\r\\n\\t{\\r\\n\\t\\tthis.trainingSet=trainingSet;\\r\\n\\t\\tthis.learningRate=learningRate;\\r\\n\\t\\tthis.maxEpoch=maxEpoch;\\r\\n\\r\\n\\t\\t//input layer nodes\\r\\n\\t\\tinputNodes=new ArrayList<Node>();\\r\\n\\t\\tint inputNodeCount=trainingSet.get(0).attributes.size();\\r\\n\\t\\tint outputNodeCount=1;\\r\\n\\t\\tfor(int i=0;i<inputNodeCount;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNode node=new Node(0);\\r\\n\\t\\t\\tinputNodes.add(node);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//bias node from input layer to hidden\\r\\n\\t\\tNode biasToHidden=new Node(1);\\r\\n\\t\\tinputNodes.add(biasToHidden);\\r\\n\\r\\n\\t\\t//hidden layer nodes\\r\\n\\t\\thiddenNodes=new ArrayList<Node> ();\\r\\n\\t\\tfor(int i=0;i<hiddenNodeCount;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNode node=new Node(2);\\r\\n\\t\\t\\t//Connecting hidden layer nodes with input layer nodes\\r\\n\\t\\t\\tfor(int j=0;j<inputNodes.size();j++)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tNodeWeightPair nwp=new NodeWeightPair(inputNodes.get(j),hiddenWeights[i][j]);\\r\\n\\t\\t\\t\\tnode.parents.add(nwp);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\thiddenNodes.add(node);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//bias node from hidden layer to output\\r\\n\\t\\tNode biasToOutput=new Node(3);\\r\\n\\t\\thiddenNodes.add(biasToOutput);\\r\\n\\r\\n\\r\\n\\r\\n\\t\\tNode node=new Node(4);\\r\\n\\t\\t//Connecting output node with hidden layer nodes\\r\\n\\t\\tfor(int j=0;j<hiddenNodes.size();j++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNodeWeightPair nwp=new NodeWeightPair(hiddenNodes.get(j), outputWeights[j]);\\r\\n\\t\\t\\tnode.parents.add(nwp);\\r\\n\\t\\t}\\t\\r\\n\\t\\toutputNode = node;\\r\\n\\r\\n\\t}\",\n \"private void updateLayers() {\\n AktieCubeLayer aktieCubeLayer;\\n AktieCubeShape[] shapes;\\n int i, j, k;\\n\\n // up layer\\n aktieCubeLayer = mAktieCubeLayers[kUp];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 0; i < 9; i++)\\n shapes[i] = mAktieCubes[mPermutation[i]];\\n\\n // down layer\\n aktieCubeLayer = mAktieCubeLayers[kDown];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 18, k = 0; i < 27; i++)\\n shapes[k++] = mAktieCubes[mPermutation[i]];\\n\\n // left layer\\n aktieCubeLayer = mAktieCubeLayers[kLeft];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 0, k = 0; i < 27; i += 9)\\n for (j = 0; j < 9; j += 3)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n\\n // right layer\\n aktieCubeLayer = mAktieCubeLayers[kRight];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 2, k = 0; i < 27; i += 9)\\n for (j = 0; j < 9; j += 3)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n\\n // front layer\\n aktieCubeLayer = mAktieCubeLayers[kFront];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 6, k = 0; i < 27; i += 9)\\n for (j = 0; j < 3; j++)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n\\n // back layer\\n aktieCubeLayer = mAktieCubeLayers[kBack];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 0, k = 0; i < 27; i += 9)\\n for (j = 0; j < 3; j++)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n\\n // middle layer\\n aktieCubeLayer = mAktieCubeLayers[kMiddle];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 1, k = 0; i < 27; i += 9)\\n for (j = 0; j < 9; j += 3)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n\\n // equator layer\\n aktieCubeLayer = mAktieCubeLayers[kEquator];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 9, k = 0; i < 18; i++)\\n shapes[k++] = mAktieCubes[mPermutation[i]];\\n\\n // side layer\\n aktieCubeLayer = mAktieCubeLayers[kSide];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 3, k = 0; i < 27; i += 9)\\n for (j = 0; j < 3; j++)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n }\",\n \"public NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Double [][]hiddenWeights, Double[][] outputWeights)\\r\\n\\t{\\r\\n\\t\\tthis.trainingSet=trainingSet;\\r\\n\\t\\tthis.learningRate=learningRate;\\r\\n\\t\\tthis.maxEpoch=maxEpoch;\\r\\n\\r\\n\\t\\t//input layer nodes\\r\\n\\t\\tinputNodes=new ArrayList<Node>();\\r\\n\\t\\tint inputNodeCount=trainingSet.get(0).attributes.size();\\r\\n\\t\\tint outputNodeCount=trainingSet.get(0).classValues.size();\\r\\n\\t\\tfor(int i=0;i<inputNodeCount;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNode node=new Node(0);\\r\\n\\t\\t\\tinputNodes.add(node);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//bias node from input layer to hidden\\r\\n\\t\\tNode biasToHidden=new Node(1);\\r\\n\\t\\tinputNodes.add(biasToHidden);\\r\\n\\r\\n\\t\\t//hidden layer nodes\\r\\n\\t\\thiddenNodes=new ArrayList<Node> ();\\r\\n\\t\\tfor(int i=0;i<hiddenNodeCount;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNode node=new Node(2);\\r\\n\\t\\t\\t//Connecting hidden layer nodes with input layer nodes\\r\\n\\t\\t\\tfor(int j=0;j<inputNodes.size();j++)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tNodeWeightPair nwp=new NodeWeightPair(inputNodes.get(j),hiddenWeights[i][j]);\\r\\n\\t\\t\\t\\tnode.parents.add(nwp);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\thiddenNodes.add(node);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//bias node from hidden layer to output\\r\\n\\t\\tNode biasToOutput=new Node(3);\\r\\n\\t\\thiddenNodes.add(biasToOutput);\\r\\n\\r\\n\\t\\t//Output node layer\\r\\n\\t\\toutputNodes=new ArrayList<Node> ();\\r\\n\\t\\tfor(int i=0;i<outputNodeCount;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tNode node=new Node(4);\\r\\n\\t\\t\\t//Connecting output layer nodes with hidden layer nodes\\r\\n\\t\\t\\tfor(int j=0;j<hiddenNodes.size();j++)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tNodeWeightPair nwp=new NodeWeightPair(hiddenNodes.get(j), outputWeights[i][j]);\\r\\n\\t\\t\\t\\tnode.parents.add(nwp);\\r\\n\\t\\t\\t}\\t\\r\\n\\t\\t\\toutputNodes.add(node);\\r\\n\\t\\t}\\t\\r\\n\\t}\",\n \"public static void main(String[] args) {\\n\\t\\tfinal int input1 = 1;\\r\\n\\t\\tfinal int input2 = 1;\\r\\n\\t\\t\\r\\n\\t\\t// One output in layer 3\\r\\n\\t\\tdouble targetOutput = 0;\\r\\n\\t\\t\\r\\n\\t\\t// Input to Hidden (IH) weights\\r\\n\\t\\tdouble IH1 = 0.8;\\r\\n\\t\\tdouble IH2 = 0.4;\\r\\n\\t\\tdouble IH3 = 0.3;\\r\\n\\t\\tdouble IH4 = 0.2;\\r\\n\\t\\tdouble IH5 = 0.9;\\r\\n\\t\\tdouble IH6 = 0.5;\\r\\n\\t\\t\\r\\n\\t\\t// second iteration of weights: Hidden to Output (HO) weights\\r\\n\\t\\tdouble HO1 = 0.3;\\r\\n\\t\\tdouble HO2 = 0.5;\\r\\n\\t\\tdouble HO3 = 0.9;\\r\\n\\t\\t\\r\\n\\t\\t// initialization\\r\\n\\t\\tdouble weightedSum1;\\r\\n\\t\\tdouble weightedSum2;\\r\\n\\t\\tdouble weightedSum3;\\r\\n\\t\\t\\r\\n\\t\\tdouble hiddenOutput1;\\r\\n\\t\\tdouble hiddenOutput2;\\r\\n\\t\\tdouble hiddenOutput3;\\r\\n\\t\\t\\r\\n\\t\\tdouble calculatedOutput;\\r\\n\\t\\t\\r\\n\\t\\tdouble secondWeightedSum;\\r\\n\\t\\t\\r\\n\\t\\tdouble outputSumError;\\r\\n\\t\\t\\r\\n\\t\\tdouble deltaSum;\\r\\n\\t\\t\\r\\n\\t\\tdouble deltaHO1;\\r\\n\\t\\tdouble deltaHO2;\\r\\n\\t\\tdouble deltaHO3;\\r\\n\\t\\t\\r\\n\\t\\tdouble deltaIH1;\\r\\n\\t\\tdouble deltaIH2;\\r\\n\\t\\tdouble deltaIH3;\\r\\n\\t\\tdouble deltaIH4;\\r\\n\\t\\tdouble deltaIH5;\\r\\n\\t\\tdouble deltaIH6;\\r\\n\\t\\t\\r\\n\\t\\tfor (int i=0;i<10000;i++){\\r\\n\\t\\t\\t// Three inputs in layer 2 (hidden layer)\\r\\n\\t\\t\\tweightedSum1 = input1*IH1+input2*IH4;\\r\\n\\t\\t\\tweightedSum2 = input1*IH2+input2*IH5;\\r\\n\\t\\t\\tweightedSum3 = input1*IH3+input2*IH6;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t// weighted sums converted into probabilities by sigmoid\\r\\n\\t\\t\\thiddenOutput1 = sigmoid(weightedSum1);\\r\\n\\t\\t\\thiddenOutput2 = sigmoid(weightedSum2);\\r\\n\\t\\t\\thiddenOutput3 = sigmoid(weightedSum3);\\r\\n\\t\\t\\t// second iteration of weighted sum\\r\\n\\t\\t\\tsecondWeightedSum = hiddenOutput1*HO1+hiddenOutput2*HO2+hiddenOutput3*HO3;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t// applying sigmoid on secondWeightedSum to get calculatedOutput\\r\\n\\t\\t\\tcalculatedOutput = sigmoid(secondWeightedSum);\\r\\n\\t\\t\\tSystem.out.println(calculatedOutput);\\r\\n\\t\\t\\t// Back Propagation \\r\\n\\t\\t\\t\\r\\n\\t\\t\\t//output sum error = target output - calculated output\\r\\n\\t\\t\\toutputSumError = targetOutput - calculatedOutput;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t// delta sum = S'(sum)*outputSumError \\r\\n\\t\\t\\tdeltaSum = sigmoidPrime(secondWeightedSum)*outputSumError;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t/* deltaIHWeights (1,2,3 are equal to 4,5,6 respectively \\r\\n\\t\\t because input1 and input2 are both 1) */\\r\\n\\t\\tdeltaIH1 = deltaSum / HO1 * sigmoidPrime(weightedSum1);\\r\\n\\t\\tdeltaIH2 = deltaSum / HO2 * sigmoidPrime(weightedSum2);\\r\\n\\t\\tdeltaIH3 = deltaSum / HO3 * sigmoidPrime(weightedSum3);\\r\\n\\t\\tdeltaIH4 = deltaSum / HO1 * sigmoidPrime(weightedSum1);\\r\\n\\t\\tdeltaIH5 = deltaSum / HO2 * sigmoidPrime(weightedSum2);\\r\\n\\t\\tdeltaIH6 = deltaSum / HO3 * sigmoidPrime(weightedSum3);\\r\\n\\t\\t\\r\\n\\t\\t// deltaHOWeights\\r\\n\\t\\tdeltaHO1 = deltaSum / hiddenOutput1;\\r\\n\\t\\tdeltaHO2 = deltaSum / hiddenOutput2;\\r\\n\\t\\tdeltaHO3 = deltaSum / hiddenOutput3;\\r\\n\\t\\t\\r\\n\\t\\t// Modifying Old Weights \\r\\n\\t\\t\\r\\n\\t\\t// modifying IH weights\\r\\n\\t\\tIH1 += deltaIH1;\\r\\n\\t\\tIH2 += deltaIH2;\\r\\n\\t\\tIH3 += deltaIH3;\\r\\n\\t\\tIH4 += deltaIH4;\\r\\n\\t\\tIH5 += deltaIH5;\\r\\n\\t\\tIH6 += deltaIH6;\\r\\n\\t\\t\\r\\n\\t\\t// modifying HO weights\\r\\n\\t\\tHO1 += deltaHO1;\\r\\n\\t\\tHO2 += deltaHO2;\\r\\n\\t\\tHO3 += deltaHO3;\\r\\n\\t\\t\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public Trainer(double[][] data, double[] attribute, int hiddenLayerNodeCount, int outputLayerNodeCount){\\r\\n this.data = data;\\r\\n this.attribute = attribute;\\r\\n hiddenLayer = new Node[hiddenLayerNodeCount];\\r\\n outputLayer = new Node[outputLayerNodeCount];\\r\\n activation = new double[hiddenLayerNodeCount];\\r\\n desireHiddenLayerActivation = new double[hiddenLayerNodeCount];\\r\\n for (int i = 0; i < hiddenLayerNodeCount; i++) {\\r\\n hiddenLayer[i] = new Node(0.5, data[0].length - 1);\\r\\n }\\r\\n for (int i = 0; i < outputLayerNodeCount; i++) {\\r\\n outputLayer[i] = new Node(0.5, activation.length);\\r\\n }\\r\\n }\",\n \"private void initialize() {\\r\\n // init hidden layers\\r\\n for (int i = 0; i < neurons.length; i++) {\\r\\n for (int j = 0; j < neurons[i].length; j++) {\\r\\n // create neuron\\r\\n Neuron n = new Neuron(i, bias, this);\\r\\n neurons[i][j] = n;\\r\\n Log.log(Log.DEBUG, \\\"Adding Layer \\\" + (i + 1) + \\\" Neuron \\\" + (j + 1));\\r\\n }\\r\\n }\\r\\n }\",\n \"public void backprop(double[] inputs, FeedForwardNeuralNetwork net, boolean verbose)\\n {\\n //create variables that will be used later\\n int[] sizes = net.getSizes();\\n int biggestSize = 0;\\n for(int k = 0; k < sizes.length; k++)\\n {\\n if(sizes[k] > biggestSize)\\n {\\n biggestSize = sizes[k];\\n }\\n }\\n int hiddenLayers = sizes.length - 2;\\n //if input or output wrong size, return\\n if(inputs.length != sizes[0])\\n {\\n System.out.println(\\\"Invalid number of inputs\\\");\\n return;\\n }\\n\\n double[][] allOutputs = new double[sizes.length][biggestSize];\\n double[][] allErrors = new double[sizes.length][biggestSize];\\n\\n //fill out first layer to temp output\\n int lastLayer = sizes[0];\\n for(int k = 0; k < lastLayer; k++)\\n {\\n allOutputs[0][k] = inputs[k];\\n }\\n\\n //for each layer after the input\\n for(int k = 1; k < hiddenLayers + 2; k++)\\n {\\n //for each node in that layer\\n for(int a = 0; a < sizes[k]; a++)\\n {\\n //get sum and get activation function result and its derivative\\n double sum = 0;\\n for(int t = 0; t < lastLayer; t++)\\n {\\n sum += allOutputs[k - 1][t] * net.getWeight(k - 1, t, k, a);\\n }\\n sum += net.getBiasNum() * net.getWeight(-1, 0, k, a);\\n if(k != hiddenLayers + 1)\\n {\\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getHiddenActivationFunction());\\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getHiddenActivationFunction());\\n }\\n else\\n {\\n allOutputs[k][a] = net.applyActivationFunction(sum, net.getOutputActivationFunction());\\n allErrors[k][a] = net.applyActivationFunctionDerivative(sum, net.getOutputActivationFunction());\\n }\\n }\\n lastLayer = sizes[k];\\n }\\n\\n if(verbose)\\n {\\n System.out.println(\\\"Outputs\\\");\\n for(int k = 0; k < maxClusters; k++)\\n {\\n System.out.print(allOutputs[hiddenLayers + 1][k] + \\\", \\\");\\n }\\n System.out.println();\\n }\\n double[] expectedOutputs = new double[maxClusters];\\n int cluster = 0;\\n double max = 0;\\n for(int k = 0; k < maxClusters; k++)\\n {\\n expectedOutputs[k] = allOutputs[hiddenLayers + 1][k];\\n if(allOutputs[hiddenLayers + 1][k] > max)\\n {\\n cluster = k;\\n max = allOutputs[hiddenLayers + 1][k];\\n }\\n }\\n if(verbose)\\n {\\n System.out.println(\\\"Output \\\" + cluster + \\\" will be set to max value\\\");\\n System.out.println();\\n }\\n\\n expectedOutputs[cluster] = 4;\\n\\n\\n //go backward from output to first hidden layer\\n for(int k = hiddenLayers + 1; k > 0; k--)\\n {\\n //for each node in that layer\\n for(int a = 0; a < sizes[k]; a++)\\n {\\n //compute error for not output layer\\n if(k != hiddenLayers + 1)\\n {\\n double temp = allErrors[k][a];\\n allErrors[k][a] = 0;\\n for(int t = 0; t < sizes[k + 1]; t++)\\n {\\n allErrors[k][a] += net.getWeight(k, t, k + 1, a) * allErrors[k + 1][t];\\n }\\n allErrors[k][a] *= temp;\\n }\\n //compute error for output layer\\n else\\n {\\n allErrors[k][a] *= (expectedOutputs[a] - allOutputs[k][a]);\\n }\\n\\n //for each weight node takes as input\\n for(int t = 0; t < sizes[k - 1]; t++)\\n {\\n //find the delta for the weight and apply\\n int index = net.getIndex(k - 1, t, k, a);\\n double delta = learningRate * allOutputs[k - 1][t] * allErrors[k][a]\\n + momentum * lastDeltas[index];\\n\\n net.setWeight(k - 1, t, k, a, net.getWeight(k - 1, t, k, a) + delta);\\n lastDeltas[index] = delta;\\n }\\n }\\n }\\n }\",\n \"Layer createLayer();\",\n \"@Override\\n protected void _rebuildLayerArray() {\\n _layers = new CanvasLayer[] {\\n _foregroundEventLayer,\\n _symbolLayer,\\n _overlayLayer,\\n _foregroundLayer,\\n _backgroundLayer,\\n _backgroundEventLayer};\\n }\",\n \"public void trainNet() {\\t\\t\\n\\t\\t// Synapses contain the weights for each layer, these are randomised to begin with\\n\\t\\tsynapse0 = new double[X[0].length][hiddenNeurons];\\n\\t\\tpopulateRandom(synapse0, minRandomWeight, maxRandomWeight);\\n\\t\\t\\n\\t\\tsynapse1 = new double[hiddenNeurons][y[0].length];\\n\\t\\tpopulateRandom(synapse1, minRandomWeight, maxRandomWeight);\\n\\t\\t\\n\\t\\t// The layers are the output values of each layer.\\n\\t\\t// They are initialised to nothing to begin with, created properly in the training loop\\n\\t\\tlayer1 = new double[0][0];\\n\\t\\tlayer2 = new double[0][0];\\n\\t\\t\\n\\t\\t// Printing the initial state of the system\\n\\t\\tm.printMatrix(\\\"X:\\\", X);\\n\\t\\tm.printMatrix(\\\"y:\\\", y);\\n\\t\\t\\n\\t\\t// The training loop\\n\\t\\tfor (int i = 0; i < trainingCycles; i++) {\\n\\t\\t\\t// calculate the values of each layer given the inputs and the weights\\n\\t\\t\\tlayer1 = forwardPropogate(X, synapse0);\\n\\t\\t\\tlayer2 = forwardPropogate(layer1, synapse1);\\n\\t\\t\\t\\n\\t\\t\\t// Calculate the delta error for each output layer, starting\\n\\t\\t\\t// with the bottom working up.\\n\\t\\t\\t// This is the difference between the expected values and actual values\\n\\t\\t\\t// times the derivative (gradient) of the sigmoid activation function\\n\\t\\t\\t// The 1st error comes from y - output\\n\\t\\t\\tdouble[][] layer2Delta = m.subtract(y, layer2);\\n\\t\\t\\tlayer2Delta = delta(layer2Delta, layer2);\\n\\t\\t\\t// subsequent layers come from the delta of the lower layer divided by the weights\\n\\t\\t\\tdouble[][] layer1Delta = m.dot(layer2Delta, m.t(synapse1));\\n\\t\\t\\tlayer1Delta = delta(layer1Delta, layer1);\\n\\t\\t\\t\\n\\t\\t\\t// Apply the error gradients to each weight, this moves the value closer to the expected\\n\\t\\t\\t// or reduces the error\\n\\t\\t\\tsynapse1 = m.add(synapse1, m.scale(m.dot(m.t(layer1), layer2Delta), trainingRate));\\n\\t\\t\\tsynapse0 = m.add(synapse0, m.scale(m.dot(m.t(X), layer1Delta), trainingRate));\\n\\t\\t}\\n\\t\\t// Run the input matrix through the net to get outputs for each training value on layer 2\\n\\t\\tdouble[][] testNet = runData(X);\\n\\t\\t// Show the results\\n\\t\\tm.printMatrix(\\\"Output for X after training:\\\", testNet);\\n\\t\\tm.printMatrixInts(\\\"Output for X after training (out of 100:\\\", testNet);\\n\\t}\",\n \"public boolean isActiveLayerDrawable() {\\n\\t\\treturn false;\\n\\t}\",\n \"public interface Layer {\\n\\t/**\\n\\t * @return the reference to the owning channel.\\n\\t */\\n\\tChannel channel();\\n\\n\\tint layerId();\\n\\n\\tLayer above();\\n Layer below();\\n\\n\\t/**\\n\\t * @return the geometry of the mixer fill. The coordinate system is between\\n\\t * 0.0 and 1.0 for both the width and the height.\\n\\t */\\n\\tGeometry fill();\\n\\n\\t/**\\n\\t * @return the pixel mapped geometry of the mixer fill. The coordinate\\n\\t * system is mapped to match the video mode of the channel, so one\\n\\t * step in the coordinate system is exactly one pixel on the video\\n\\t * channel.\\n\\t */\\n\\tGeometry pixelFill();\\n\\n\\t/**\\n\\t * @return the geometry of the mixer clipping. The coordinate system is\\n\\t * between 0.0 and 1.0 for both the width and the height.\\n\\t */\\n\\tGeometry clipping();\\n\\n\\t/**\\n\\t * @return the pixel mapped geometry of the mixer clipping. The coordinate\\n\\t * system is mapped to match the video mode of the channel, so one\\n\\t * step in the coordinate system is exactly one pixel on the video\\n\\t * channel.\\n\\t */\\n\\tGeometry pixelClipping();\\n\\n\\tPosition anchorPoint();\\n Position pixelAnchorPoint();\\n\\n Geometry crop();\\n Geometry pixelCrop();\\n Corners perspective();\\n Corners pixelPerspective();\\n\\n EaseableDouble rotation();\\n\\n BooleanProperty mipmapping();\\n\\n\\tAdjustments adjustments();\\n\\n\\tLevels levels();\\n\\tChromaKey chromaKey();\\n\\n\\t/**\\n\\t * Load a producer directly in the layer foreground, without starting to\\n\\t * play.\\n\\t *\\n\\t * @param producer The producer to load.\\n\\t */\\n\\tvoid load(Producer producer);\\n\\tvoid load(Producer producer, Transition transition);\\n\\tvoid loadBg(Producer producer);\\n\\tvoid loadBg(Producer producer, boolean autoPlay);\\n\\tvoid loadBg(Producer producer, Transition transition);\\n\\tvoid loadBg(Producer producer, Transition transition, boolean autoPlay);\\n\\tvoid play(Producer producer);\\n\\tvoid play(Producer producer, Transition transition);\\n\\tvoid play();\\n\\tvoid pause();\\n\\tvoid stop();\\n\\tvoid clear();\\n\\tvoid clearMixer();\\n\\tvoid call(Call call);\\n\\tvoid callBg(Call call);\\n\\tvoid executeCustomCommand(String command, String parameters);\\n\\tvoid swap(Layer other, boolean transformsAlso);\\n\\t<R> R call(CallWithReturn<R> call);\\n\\t<R> R callBg(CallWithReturn<R> call);\\n}\",\n \"protected void mergeVisible ()\\n {\\n List<Integer> visible = getVisibleLayers();\\n // remove the first layer and call that the \\\"mergeTo\\\" layer\\n int mergeTo = visible.remove(0); // remove first value, not value 0!\\n\\n for (TudeySceneModel.Entry entry : _scene.getEntries()) {\\n Object key = entry.getKey();\\n if (visible.contains(_scene.getLayer(key))) {\\n _scene.setLayer(key, mergeTo);\\n }\\n }\\n\\n // kill the layers, highest to lowest\\n for (Integer layer : Lists.reverse(visible)) {\\n _tableModel.removeLayer(layer);\\n }\\n fireStateChanged();\\n }\",\n \"void addLayer(Layer layer, int whichLayer);\",\n \"public BackPropagationNeural_3H(int size_in,int size_hidden1,int size_hidden2,int size_hidden3,int size_output){\\n\\t\\tthis.size_in = size_in;\\n\\t\\tthis.size_hidden1 = size_hidden1;\\n\\t\\tthis.size_hidden2 = size_hidden2;\\n\\t\\tthis.size_hidden3 = size_hidden3;\\n\\t\\tthis.size_output = size_output;\\n\\t\\t\\n\\t\\tinputs = new float[size_in];\\n\\t\\thidden1 = new float[size_hidden1];\\n\\t\\thidden2 = new float[size_hidden2];\\n\\t\\thidden3 = new float[size_hidden3];\\n\\t\\toutput = new float[size_output];\\n\\t\\t\\n\\t\\tweight1 = new float[size_in][size_hidden1];\\n\\t\\tweight2 = new float[size_hidden1][size_hidden2];\\n\\t\\tweight3 = new float[size_hidden2][size_hidden3];\\n\\t\\tweight4 = new float[size_hidden3][size_output];\\n\\t\\t\\n\\t\\tW1_last_delta = new float[size_in][size_hidden1];\\n W2_last_delta = new float[size_hidden1][size_hidden2];\\n W3_last_delta = new float[size_hidden2][size_hidden3];\\n W4_last_delta = new float[size_hidden3][size_output];\\n \\n\\t\\trandomizeWeights();\\n\\t\\toutput_error = new float[size_output];\\n\\t\\thidden1_error = new float[size_hidden1];\\n\\t\\thidden2_error = new float[size_hidden2];\\n\\t\\thidden3_error = new float[size_hidden3];\\n\\t}\",\n \"public void saveLayerAlpha(int sx, int sy, int i, int j, int multipliedAlpha) {\\n\\t\\t\\n\\t}\",\n \"public Layer konstruisiFinalniLayer(ArrayList<Integer> a) {\\n\\t\\tLayer lejer = new Layer(sirina, visina);\\r\\n\\t\\tArrayList<Layer> aktivniLejeri=new ArrayList();\\r\\n\\r\\n\\t\\tif (a.size() == 0) return lejer;\\r\\n\\t\\tfor ( Integer i : layers.keySet()) {\\r\\n\\t\\t\\tif (inAktivni(i, a)) {\\r\\n\\t\\t\\t\\taktivniLejeri.add(layers.get(i));\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\tif (aktivniLejeri.size() == 0) return lejer;\\r\\n\\t\\tfor (int i = 0; i < sirina; i++) {\\r\\n\\t\\t\\tfor (int j = 0; j < visina; j++) {\\r\\n\\t\\t\\t\\tPiksel piksel = aktivniLejeri.get(0).getPixel(i, j);\\r\\n\\t\\t\\t\\tdouble r = piksel.getR() * 1.0 / 255;\\r\\n\\t\\t\\t\\tdouble g = piksel.getG() * 1.0 / 255;\\r\\n\\t\\t\\t\\tdouble b = piksel.getB() * 1.0 / 255;\\r\\n\\t\\t\\t\\tdouble opacity = piksel.getOpacity() * 1.0 / 255;\\r\\n\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (i == 410 && j == 40) {\\r\\n\\t\\t\\t\\t\\t//std::cout << \\\"s\\\";\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tif (i == 40 && j == 410) {\\r\\n\\t\\t\\t\\t\\t//std::cout << \\\"s\\\";\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tfor (int k = 1; k != aktivniLejeri.size(); k++) {\\r\\n\\t\\t\\t\\t\\t\\tif (opacity == 1.0) { continue; }\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tPiksel p1 = aktivniLejeri.get(k).getPixel(i,j);\\r\\n\\t\\t\\t\\t\\t\\tdouble r1 = p1.getR() * 1.0 / 255;\\r\\n\\t\\t\\t\\t\\t\\tdouble g1 = p1.getG() * 1.0 / 255;\\r\\n\\t\\t\\t\\t\\t\\tdouble b1 = p1.getB() * 1.0 / 255;\\r\\n\\t\\t\\t\\t\\t\\tdouble opacity1= p1.getOpacity() * 1.0 / 255;\\r\\n\\t\\t\\t\\t\\t\\tif (opacity1 == 0)continue;\\r\\n\\t\\t\\t\\t\\t\\tdouble temp = (1 - opacity)* opacity1 ;\\r\\n\\t\\t\\t\\t\\t\\tdouble opt = opacity + temp;\\r\\n\\t\\t\\t\\t\\t\\tdouble temp2 = temp / opt;\\r\\n\\t\\t\\t\\t\\t\\tdouble temp3 = opacity / opt;\\r\\n\\t\\t\\t\\t\\t\\tdouble rt = r * temp3 + r1 * temp2;\\r\\n\\t\\t\\t\\t\\t\\tdouble gt = g * temp3 + g1 * temp2;\\r\\n\\t\\t\\t\\t\\t\\tdouble bt = b * temp3 + b1 * temp2;\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tr = rt;\\r\\n\\t\\t\\t\\t\\t\\tb = bt;\\r\\n\\t\\t\\t\\t\\t\\tg = gt;\\r\\n\\t\\t\\t\\t\\t\\topacity = opt;\\r\\n\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tPiksel novi = new Piksel(r*255, g*255, b*255, 0, opacity*255);\\r\\n\\t\\t\\t\\tlejer.overwritepixel(i, j, novi);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\treturn lejer;\\r\\n\\t\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\t}\",\n \"public void renderOutputImageManager()\\n {\\n if(input != null)\\n {\\n if(toRerender)\\n {\\n background(background);\\n mosaic.newCanvas();\\n mosaic.setPreviewCanvas();\\n mosaic.drawImage();\\n renderPreview();\\n renderHover();\\n image(infoGraphics,10,270);\\n toRerender = false;\\n }\\n }\\n else\\n {\\n background(background);\\n image(infoGraphics,40,270);\\n }\\n }\",\n \"public double[] getrelevantinputs(int layer) {\\r\\n double[] output = new double[this.width];\\r\\n for(int i = 0; i < this.width; i++){\\r\\n output[i] = this.state[i][0][layer];\\r\\n }\\r\\n return output;\\r\\n }\",\n \"protected void trainModuleNN(ExperienceReplay<TransitionMemory> experienceReplay, T outputOfInterest,\\n\\t\\t\\tRelationManager<T> relMngr, int[] numHidden, int epochs, double lRate, double mRate, double sRate) {\\n\\n\\t\\tint outKey = getVectorKey(outputOfInterest);\\n\\t\\tint[] inKeys = getInKeys(outputOfInterest, relMngr);\\n\\t\\t\\n\\t\\tfor(int i = 0; i < epochs; i++) {\\n\\t\\t\\tIterator<TransitionMemory> iter = experienceReplay.getBatch().iterator();\\n\\t\\t\\tdouble inActivations[] = new double[inKeys.length];\\n//\\t\\t\\tdouble err = 0;\\n\\t\\t\\twhile (iter.hasNext()) {\\n\\t\\t\\t\\tTransitionMemory tm = iter.next();\\n\\t\\t\\t\\tdouble[] preStateAndAction = tm.getPreStateAndAction();\\n\\t\\t\\t\\tdouble[] postState = tm.getPostState();\\n\\t\\t\\t\\tint j = 0;\\n\\t\\t\\t\\tfor (int k : inKeys) inActivations[j++] = k >= 0 ? preStateAndAction[k] : 0;\\n\\t\\t\\t\\tif (neuralNet == null) neuralNet = new FFNeuralNetwork(ActivationFunction.SIGMOID0p5,\\n\\t\\t\\t\\t\\t\\tinActivations.length, 1, numHidden);\\n\\t\\t\\t\\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), inActivations);\\n\\t\\t\\t\\tFFNeuralNetwork.backPropagate(neuralNet.getOutputNodes(), lRate, mRate, sRate, postState[outKey]);\\n//\\t\\t\\t\\terr += FFNeuralNetwork.getError(new double[] {postState[outKey]}, neuralNet.getOutputNodes());\\n\\t\\t\\t}\\n//\\t\\t\\tSystem.out.println(i + \\\"\\t\\\" + err / experienceReplay.getSize());\\n\\t\\t}\\n//\\t\\tSystem.out.println();\\n\\t\\tif (rel2ModuleInput.isEmpty()) {\\n\\t\\t\\tArrayList<? extends Node> inputNodes = neuralNet.getInputNodes();\\n\\t\\t\\tint j = 0;\\n\\t\\t\\tfor (IndirectInput rel : relations) rel2ModuleInput.put(rel, inputNodes.get(j++));\\n\\t\\t}\\n\\t}\",\n \"public abstract void initLayers();\",\n \"public void incrementLayer () {\\n layer++;\\n }\",\n \"boolean isHiddenNeuron();\",\n \"public void displayActivations(){\\n for (int i = 0; i < neurons.size(); i++){\\n System.out.println(\\\"Neuron \\\" + i + \\\": \\\" + neurons.get(i).getActivation());\\n }\\n }\",\n \"@Override\\r\\n\\tpublic ANNLayer copy() {\\n\\t\\tFullyConnectedLayer output = new FullyConnectedLayer(); \\r\\n\\t\\toutput.inputWeight = this.inputWeight.copy(); \\r\\n\\t\\toutput.fout = this.fout; \\r\\n\\t\\toutput.set = this.set; \\r\\n\\t\\treturn output; \\r\\n\\t}\",\n \"public void train() {\\r\\n // For each epoch, call setInputValue on input nodes\\r\\n for (int i = 0; i < maxEpoch; i++) {\\r\\n Collections.shuffle(trainingSet, random);\\r\\n\\r\\n // get each training instance\\r\\n for (int k = 0; k < trainingSet.size(); k++) {\\r\\n\\r\\n Instance instance = trainingSet.get(k);\\r\\n\\r\\n // set the input value in the input nodes from the training instance\\r\\n for (int j = 0; j < instance.attributes.size(); j++) {\\r\\n inputNodes.get(j).setInput(instance.attributes.get(j));\\r\\n }\\r\\n\\r\\n //set the target value in output nodes\\r\\n for (int j = 0; j < instance.classValues.size(); j++) {\\r\\n outputNodes.get(j).setTargetValue((double) instance.classValues.get(j));\\r\\n }\\r\\n\\r\\n // calculate values for hidden nodes\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n // for each hidden node\\r\\n Node hiddenNode = hiddenNodes.get(j);\\r\\n hiddenNode.calculateOutput();\\r\\n }\\r\\n\\r\\n //calculate values for output nodes\\r\\n double sumOfExponents = 0.0;\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n // for each output node\\r\\n Node outputNode = outputNodes.get(j);\\r\\n outputNode.calculateOutput();\\r\\n sumOfExponents += outputNode.getOutput();\\r\\n }\\r\\n\\r\\n //update output values of output nodes\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n outputNode.updateOutputValue(sumOfExponents);\\r\\n }\\r\\n\\r\\n // calculate delta values for output nodes\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n outputNode.calculateDelta();\\r\\n }\\r\\n\\r\\n // calculate delta values for hidden nodes\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n Node hiddenNode = hiddenNodes.get(j);\\r\\n hiddenNode.calculateDelta();\\r\\n hiddenNode.resetSumOfPartialDelta();\\r\\n }\\r\\n\\r\\n // update weights going from input layer to hidden layer\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n Node hiddenNode = hiddenNodes.get(j);\\r\\n hiddenNode.updateWeight(learningRate);\\r\\n }\\r\\n\\r\\n // update weights going from hidden layer to output layer\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n outputNode.updateWeight(learningRate);\\r\\n }\\r\\n\\r\\n /*if (k == 0 && i==0) {\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n for (NodeWeightPair pair : outputNode.parents) {\\r\\n System.out.println(pair.weight);\\r\\n }\\r\\n }\\r\\n }\\r\\n\\r\\n if (k == 0 && i == 0) {\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n Node hiddenNode = hiddenNodes.get(j);\\r\\n if (hiddenNode.parents != null) {\\r\\n for (NodeWeightPair pair : hiddenNode.parents) {\\r\\n System.out.println(pair.weight);\\r\\n }\\r\\n }\\r\\n }\\r\\n }*/\\r\\n }\\r\\n\\r\\n /* if (i==29) {\\r\\n for (int j = 0; j < outputNodes.size(); j++) {\\r\\n Node outputNode = outputNodes.get(j);\\r\\n for (NodeWeightPair pair : outputNode.parents) {\\r\\n System.out.println(pair.weight);\\r\\n }\\r\\n }\\r\\n }*/\\r\\n\\r\\n double totalLoss = 0.0;\\r\\n // Calculate loss and sum for each training instance, and then take average\\r\\n for (int k = 0; k < trainingSet.size(); k++) {\\r\\n Instance instance = trainingSet.get(k);\\r\\n totalLoss += loss(instance);\\r\\n }\\r\\n totalLoss /= trainingSet.size();\\r\\n System.out.println(\\\"Epoch: \\\" + i + \\\", \\\" + \\\"Loss: \\\" + String.format(\\\"%.3e\\\", totalLoss));\\r\\n }\\r\\n }\",\n \"public int getOutputLayer() {\\n int outputSize = 0;\\n if(this.size() > 0) {\\n return this.get(this.size()-1);\\n }\\n return outputSize;\\n }\",\n \"@Test\\n public void testChangeLayerVisibility() {\\n LayersViewController instance = LayersViewController.getDefault().init(null);\\n instance.createLayer();\\n int index1 = 2;\\n Query query1 = new Query(GraphElementType.VERTEX, \\\"Type == 'Event'\\\");\\n instance.getVxQueryCollection().getQuery(index1).setQuery(query1);\\n instance.getTxQueryCollection().getQuery(index1).setQuery(null);\\n\\n instance.changeLayerVisibility(index1, true);\\n assertTrue(instance.getVxQueryCollection().getQuery(index1).isVisible());\\n\\n instance.createLayer();\\n int index2 = 3;\\n Query query2 = new Query(GraphElementType.TRANSACTION, \\\"Type == 'Network'\\\");\\n instance.getTxQueryCollection().getQuery(index2).setQuery(query2);\\n instance.getVxQueryCollection().getQuery(index2).setQuery(null);\\n\\n instance.changeLayerVisibility(index2, true);\\n assertTrue(instance.getTxQueryCollection().getQuery(index2).isVisible());\\n }\",\n \"public void computeOutputs(double[] input){\\n if (input != null) {\\n for (int i=0; i<fire.length; i++) {\\n fire[i] = input[i];\\n }\\n }\\n\\n //if this a hidden layer then we set the input to be\\n double layerInput[] = new double[fire.length+ 1];\\n for(int i=0; i<fire.length; i++){\\n layerInput[i] = fire[i];\\n }\\n //add in another element for threshold to be multiplied by 1\\n layerInput[fire.length] = 1;\\n\\n //compute outputs\\n for (int i=0; i<next.getNeuronCount(); i++) {\\n //get column at i of weightThreshold\\n double colWeightThreshold[] = new double[weightThreshold.length];\\n for(int j=0; j<colWeightThreshold.length; j++){\\n colWeightThreshold[j] = weightThreshold[j][i];\\n }\\n\\n double sum = dotProduct(colWeightThreshold, layerInput);\\n //activation function on the sum and store neuron output\\n next.fire[i] = activationFunction(sum);//(exp(sum*2.0)-1.0)/(exp(sum*2.0)+1.0);\\n //System.out.println(\\\"output[\\\"+i+\\\"]: \\\"+output[i]);\\n\\n }\\n\\n }\",\n \"public double[][] activateFunction(){\\n\\t\\n\\t\\tboolean run = true;\\n\\t\\tint count = 0;\\n\\t\\tdouble[][] output = null;\\n\\t\\twhile(run){\\n\\t\\t\\toutput = sign(subtract(multiply(weights, entryCoord), thresholds));\\n\\t\\t\\t\\tfor(int i = 0; i < trainingList.size(); i++){\\n\\t\\t\\t\\t\\tfor(int j = 0; j < (XDIMENSION * YDIMENSION); j++){\\n\\t\\t\\t\\t\\t\\tif(trainingList.get(i)[j][0] == output[j][0]){\\n\\t\\t\\t\\t\\t\\t\\tcount++;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tif(count == (XDIMENSION * YDIMENSION)){\\n\\t\\t\\t\\t\\t\\t\\trun = false;\\n\\t\\t\\t\\t\\t\\t\\tfor(int k = 0; k < output.length; k++){\\n\\t\\t\\t\\t\\t\\t\\t\\tSystem.out.print(output[k][0] + \\\" \\\");\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t}\\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\\t\\tcount = 0;\\n\\t\\t\\t\\t}\\t\\n\\t\\n\\t\\t}\\n\\t\\treturn makeGrid(output);\\n\\t}\",\n \"private void setupGraph() {\\n graph = new DualGraph(SchemaFactoryUtilities.getSchemaFactory(VisualSchemaFactory.VISUAL_SCHEMA_ID).createSchema());\\n try {\\n\\n WritableGraph wg = graph.getWritableGraph(\\\"\\\", true);\\n\\n // Create LayerMask attributes\\n layerMaskV = LayersConcept.VertexAttribute.LAYER_MASK.ensure(wg);\\n layerMaskT = LayersConcept.TransactionAttribute.LAYER_MASK.ensure(wg);\\n\\n // Create LayerVisilibity Attributes\\n layerVisibilityV = LayersConcept.VertexAttribute.LAYER_VISIBILITY.ensure(wg);\\n layerVisibilityT = LayersConcept.TransactionAttribute.LAYER_VISIBILITY.ensure(wg);\\n\\n // Create Selected Attributes\\n selectedV = VisualConcept.VertexAttribute.SELECTED.ensure(wg);\\n selectedT = VisualConcept.TransactionAttribute.SELECTED.ensure(wg);\\n\\n // Adding 2 Vertices - not selected, layer 1, visible\\n vxId1 = wg.addVertex();\\n wg.setIntValue(layerMaskV, vxId1, 1);\\n wg.setFloatValue(layerVisibilityV, vxId1, 1.0f);\\n wg.setBooleanValue(selectedV, vxId1, false);\\n\\n vxId2 = wg.addVertex();\\n wg.setIntValue(layerMaskV, vxId2, 1);\\n wg.setFloatValue(layerVisibilityV, vxId2, 1.0f);\\n wg.setBooleanValue(selectedV, vxId2, false);\\n\\n // Adding 2 Transactions - not selected, layer 1, visible\\n txId1 = wg.addTransaction(vxId1, vxId2, true);\\n wg.setIntValue(layerMaskT, txId1, 1);\\n wg.setFloatValue(layerVisibilityT, txId1, 1.0f);\\n wg.setBooleanValue(selectedT, txId1, false);\\n\\n txId2 = wg.addTransaction(vxId1, vxId2, false);\\n wg.setIntValue(layerMaskT, txId2, 1);\\n wg.setFloatValue(layerVisibilityT, vxId2, 1.0f);\\n wg.setBooleanValue(selectedT, vxId2, false);\\n\\n wg.commit();\\n\\n } catch (final InterruptedException ex) {\\n Exceptions.printStackTrace(ex);\\n Thread.currentThread().interrupt();\\n }\\n }\",\n \"public ImageLayer getActiveImageLayer() {\\n checkInvariant();\\n if (activeLayer instanceof ImageLayer) {\\n ImageLayer imageLayer = (ImageLayer) activeLayer;\\n return imageLayer;\\n }\\n throw new IllegalStateException(\\\"active layer is not image layer\\\");\\n }\",\n \"public void layerUpdate(int layerToBeUpdated ){\\n\\t\\tRandom rand = new Random();\\n\\n\\t\\tfor(int i = 0; i < this.layers[layerToBeUpdated].length; i++){\\n\\t\\t\\tdouble x = this.layers[layerToBeUpdated][i].getBias();\\n\\t\\t\\tfor(int j = 0; j < this.layers[(layerToBeUpdated + 1) % 2].length; j++){\\n\\n\\t\\t\\t\\tif(layerToBeUpdated == 0){\\n\\t\\t\\t\\t\\tx += this.connections[i][j]*this.layers[1][j].getState();\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tx += this.connections[j][i]*this.layers[0][j].getState();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tif(Sigmoid.getINSTANCE().apply(x) >= rand.nextDouble()){\\n\\t\\t\\t\\tthis.layers[layerToBeUpdated][i].setState(1);\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tthis.layers[layerToBeUpdated][i].setState(0);\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\t}\",\n \"void setVisibility(Layer layer, boolean visibility);\",\n \"int getLayer();\",\n \"public Layer.Layers getLayer();\",\n \"public boolean hasLayers() {\\n\\t\\treturn false;\\n\\t}\",\n \"public void paintComponent(Graphics g) {\\n\\n Graphics2D g2d = (Graphics2D) g;\\n g2d.setStroke(new BasicStroke(3));\\n double nbLayers = cnn.getLayers().size() - 1, x = 0, y = 0, offsetX = 20, offsetY = 20;\\n double sizeLayer = (getWidth() - (nbLayers + 1) * offsetX) / nbLayers;\\n\\n x = offsetX;\\n\\n for(int layer = 0; layer < cnn.getLayers().size() - 1; layer++) {\\n\\n CNNLayer l = cnn.getLayers().get(layer);\\n\\n double sizeInput = (getHeight() - ((l.getInputs().length + 1) * offsetY)) / l.getInputs().length;\\n\\n y = offsetY;\\n for(int input = 0; input < l.getInputs().length; input++) {\\n\\n Matrix m = l.getInputs()[input];\\n\\n BufferedImage img = ImageManager.transformMatrixToImage(m);\\n\\n System.out.println(x + \\\", \\\" + y);\\n g2d.drawImage(img, (int) x, (int) y, (int) sizeLayer, (int) sizeInput, null);\\n g2d.setColor(new Color(0, 0, 0));\\n g2d.drawRect((int) x, (int) y, (int) sizeLayer, (int) sizeInput);\\n\\n y += offsetX;\\n y += sizeInput;\\n\\n }\\n\\n x += offsetX;\\n x += sizeLayer;\\n\\n }\\n }\",\n \"@FXML public void toLayer()\\t\\t\\n\\t{\\n\\t}\",\n \"private void updateHiddenLayersErrors(Neuron neuron) {\\r\\n\\r\\n\\t\\t// Calculate the neuron error by weighting the errors of the output neurons of the output synapses.\\r\\n\\t\\tList<Synapse> outputSynapses = neuron.getOutputSynapses();\\r\\n\\t\\tdouble weightedOutputError = 0;\\r\\n\\t\\tfor (Synapse outputSynapse : outputSynapses) {\\r\\n\\t\\t\\t// Output neuron and update.\\r\\n\\t\\t\\tNeuron outputNeuron = outputSynapse.getOutputNeuron();\\r\\n\\t\\t\\tdouble error = outputNeuron.getError();\\r\\n\\t\\t\\tdouble weight = outputSynapse.getWeight();\\r\\n\\t\\t\\tweightedOutputError += (error * weight);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// Back propagate weighted output\\r\\n\\t\\tOutputFunction outputFunction = neuron.getOutputFunction();\\r\\n\\t\\tdouble input = neuron.getInput();\\r\\n\\t\\tdouble derivative = outputFunction.getDerivative(input);\\r\\n\\t\\tdouble neuronError = weightedOutputError * derivative;\\r\\n\\t\\tneuron.setError(neuronError);\\r\\n\\r\\n\\t\\t// Update neuron weights if applicable\\r\\n\\t\\tif (updateWeights) {\\r\\n\\t\\t\\tupdateNeuronWeights(neuron);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// Update bias if applicable\\r\\n\\t\\tif (updateBiases) {\\r\\n\\t\\t\\tupdateNeuronBias(neuron);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public static void clearLayers(){\\n\\t\\tfor(int i=0;i<ChangeLayer.Layers.length;i++){\\n\\t\\t\\tChangeLayer.Layers[i].clear();\\n\\t\\t\\t}\\n\\t}\",\n \"boolean isBiasNeuron();\",\n \"private void createLayers(boolean bl, int[] arrn) {\\n ILayer[] arriLayer = this.mLayers;\\n if (bl) {\\n for (int i = -1 + this.mLayerCount; i >= 0; --i) {\\n arriLayer[i] = new FixedCapacityLayer(arrn[i]);\\n }\\n return;\\n }\\n for (int i = -1 + this.mLayerCount; i >= 0; --i) {\\n arriLayer[i] = new DynamicCapacityLayer(arrn[i]);\\n }\\n }\",\n \"public Optional<ImageLayer> getActiveImageLayerOpt() {\\n if (activeLayer instanceof ImageLayer) {\\n ImageLayer imageLayer = (ImageLayer) activeLayer;\\n return Optional.of(imageLayer);\\n }\\n return Optional.empty();\\n }\",\n \"public NeuralNetwork(int inputs, int layer1, int layer2, int layer3, int outputs) {\\r\\n this.input = inputs;\\r\\n this.layer1 = layer1;\\r\\n this.layer2 = layer2;\\r\\n this.layer3 = layer3;\\r\\n this.output = outputs;\\r\\n }\",\n \"public void writeNumberOfOutNeurals() {\\r\\n \\r\\n outputLayer.setNumberOfNeurals(numberOfOutputNeurals);\\r\\n }\",\n \"@Override\\n\\tprotected void activateFigure() {\\n\\t\\tthis.layer = getLayer(CONNECTION_LAYER);\\n\\t\\tthis.layer.add(getFigure());\\n\\t}\",\n \"public void train()\\r\\n\\t{\\r\\n\\t\\tfor(int i=0; i < this.maxEpoch; i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tfor(Instance temp_example: this.trainingSet)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tdouble O = calculateOutputForInstance(temp_example);\\r\\n\\t\\t\\t\\tdouble T = temp_example.output;\\r\\n\\t\\t\\t\\tdouble err = T - O;\\r\\n\\r\\n\\t\\t\\t\\t//w_jk (hidden to output)\\r\\n\\t\\t\\t\\tdouble g_p_out = (outputNode.getSum() <= 0) ? 0 : 1;\\r\\n\\t\\t\\t\\tfor(NodeWeightPair hiddenNode: outputNode.parents)\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\thiddenNode.set_deltaw_pq(this.learningRate*\\r\\n\\t\\t\\t\\t\\t\\t\\thiddenNode.node.getOutput()*err*g_p_out);\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\t//w_ij (input to hidden)\\r\\n\\t\\t\\t\\tint hid_count =0;\\r\\n\\t\\t\\t\\tfor(Node hiddenNode: hiddenNodes){\\r\\n\\t\\t\\t\\t\\tdouble g_p_hid = (hiddenNode.getSum() <= 0) ? 0 : 1;\\r\\n\\t\\t\\t\\t\\tif(hiddenNode.getType()==2)\\r\\n\\t\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\t\\tfor(NodeWeightPair inputNode: hiddenNode.parents){\\r\\n\\t\\t\\t\\t\\t\\t\\tdouble a_i = inputNode.node.getOutput();\\r\\n\\t\\t\\t\\t\\t\\t\\tinputNode.set_deltaw_pq\\r\\n\\t\\t\\t\\t\\t\\t\\t(\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tthis.learningRate*\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\ta_i*g_p_hid*(err*\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\toutputNode.parents.get(hid_count).weight*\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tg_p_out)\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t} else {\\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\\thid_count++;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t// for all w_pq, update weights\\r\\n\\t\\t\\t\\tfor(Node hiddenNode: hiddenNodes){\\r\\n\\t\\t\\t\\t\\tif(hiddenNode.getType()==2){\\r\\n\\t\\t\\t\\t\\t\\tfor(NodeWeightPair inputNode: hiddenNode.parents){\\r\\n\\t\\t\\t\\t\\t\\t\\tinputNode.weight += inputNode.get_deltaw_pq();\\r\\n\\t\\t\\t\\t\\t\\t\\tinputNode.set_deltaw_pq(new Double (0.00));\\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\\tfor(NodeWeightPair hiddenNode: outputNode.parents)\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\thiddenNode.weight += hiddenNode.get_deltaw_pq();\\r\\n\\t\\t\\t\\t\\thiddenNode.set_deltaw_pq(new Double (0.00));\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t} // end of an instance \\r\\n\\t\\t} // end of an epoch\\r\\n\\t}\",\n \"public void batchUpdateWeights() {\\n\\t\\tObject[] keys = nextLayerNodes.keySet().toArray();\\n\\t\\tfor (Object key : keys) {\\n\\t\\t\\tNode nextLayerNode = (Node) key;\\n\\t\\t\\t// System.out.printf(\\\"Updating weight from %f to %f%n\\\", nextLayerNodes.get(nextLayerNode), nextLayerNodesUpdateMap.get(nextLayerNode));\\n\\t\\t\\tdouble oldWeight = nextLayerNodes.get(nextLayerNode);\\n\\t\\t\\tnextLayerNodes.put(nextLayerNode, nextLayerNodesUpdateMap.get(nextLayerNode));\\n\\t\\t\\tdouble newWeight = nextLayerNodes.get(nextLayerNode);\\n\\t\\t\\tdouble deltaWeight = oldWeight-newWeight;\\n\\t\\t\\tSystem.out.printf(\\\"Changed from %f to %f%n\\\", oldWeight, newWeight);\\n\\t\\t\\tif (deltaWeight > 0.0) {\\n\\t\\t\\t\\tif (nextLayerNodesArrayList.get(0).nextLayerNodes.size() == 0) {\\n\\t\\t\\t\\t\\tSystem.out.print(\\\"Hidden Node connected to output layer \\\");\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tSystem.out.print(\\\"Node connected to another hidden layer \\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tSystem.out.printf (\\\"Increased!! Delta weight = %.10f%n\\\", deltaWeight);\\n\\t\\t\\t} else if (deltaWeight < 0.0) {\\n\\t\\t\\t\\tif (nextLayerNodesArrayList.get(0).nextLayerNodes.size() == 0) {\\n\\t\\t\\t\\t\\tSystem.out.print(\\\"Hidden Node connected to output layer \\\");\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tSystem.out.print(\\\"Node connected to another hidden layer \\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tSystem.out.printf(\\\"Decreased!! Delta weight = %.10f%n\\\", deltaWeight);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"@Test\\n\\tpublic void translateOutputBind() throws Exception {\\n\\t\\tString expectedTranslation = \\\"uchar4 __attribute__ ((kernel)) toBitmapBitmapImage(float3 PM_in, uint32_t x,uint32_t y) {\\\\n\\\"\\n\\t\\t\\t\\t+ \\\"uchar4 PM_out;\\\\n\\\"\\n\\t\\t\\t\\t+ \\\"PM_out.r = (uchar)(PM_in.s0);\\\\n\\\"\\n\\t\\t\\t\\t+ \\\"PM_out.g = (uchar)(PM_in.s1);\\\\n\\\"\\n\\t\\t\\t\\t+ \\\"PM_out.b = (uchar)(PM_in.s2);\\\\n\\\"\\n\\t\\t\\t\\t+ \\\"PM_out.a = 255;\\\"\\n\\t\\t\\t\\t+ \\\"return PM_out;\\\\n\\\" + \\\"}\\\";\\n\\t\\tBaseUserLibraryTranslator translator = this.getTranslator();\\n\\t\\tString translatedFunction = translator.translateOutputBind(className,\\n\\t\\t\\t\\tnull);\\n\\t\\tthis.validateTranslation(expectedTranslation, translatedFunction);\\n\\t}\",\n \"CartogramWizardSimulaneousLayerWindow ()\\n\\t{\\n\\t\\t\\n\\t\\t// Set the window parameters.\\n\\t\\tthis.setTitle(\\\"Simultaneous transformation layers\\\");\\n\\t\\t\\t\\n\\t\\tthis.setSize(300, 400);\\n\\t\\tthis.setLocation(40, 50);\\n\\t\\tthis.setResizable(false);\\n\\t\\tthis.setLayout(null);\\n\\t\\tthis.setModal(true);\\n\\t\\t\\n\\t\\t\\n\\n\\t\\t// LIST WITH SIMULTANEOUS LAYERS\\n\\t\\t\\n\\t\\t// Create a new pane containing the check boxes with\\n\\t\\t// the layers.\\n\\t\\tmLayerListPanel = new JPanel(new GridLayout(0,1));\\n\\t\\t\\n\\t\\t// Create the check boxes for all layers except the selected\\n\\t\\t// cartogram layer.\\n\\t\\tmCurrentCartogramLayer = \\n\\t\\t\\tAppContext.cartogramWizard.getCartogramLayerName();\\n\\t\\t\\n\\t\\t// Create the checkbox array.\\n\\t\\tmCheckBoxList = new Vector();\\n\\t\\t\\n\\t\\tFont smallFont = new Font(null, Font.PLAIN, 11);\\n\\t\\t\\n\\t\\t// Create the check boxes.\\n\\t\\tVector simLayers = AppContext.cartogramWizard.getSimultaneousLayers();\\n\\t\\tint nlayers = AppContext.layerManager.size();\\n\\t\\tif (nlayers > 1)\\n\\t\\t{\\n\\t\\t\\tint layersInList = 0;\\n\\t\\t\\tint lyrcnt = 0;\\n\\t\\t\\tfor (lyrcnt = 0; lyrcnt < nlayers; lyrcnt++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tLayer lyr = AppContext.layerManager.getLayer(lyrcnt);\\n\\t\\t\\t\\tif (lyr.getName() != mCurrentCartogramLayer)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tJCheckBox checkbox = new JCheckBox(lyr.getName());\\n\\t\\t\\t\\t\\tcheckbox.setFont(smallFont);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// Find if this layer is already selected as a \\n\\t\\t\\t\\t\\t// simultaneous layer.\\n\\t\\t\\t\\t\\tif (simLayers != null && simLayers.contains(lyr))\\n\\t\\t\\t\\t\\t\\tcheckbox.setSelected(true);\\n\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\tcheckbox.setSelected(false);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tmCheckBoxList.add(checkbox);\\n\\t\\t\\t\\t\\tmLayerListPanel.add(checkbox);\\n\\t\\t\\t\\t\\tlayersInList++;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\n\\t\\t\\t// Compute the height of the new scroll pane.\\n\\t\\t\\tint scrollPaneHeight = layersInList * 26;\\n\\t\\t\\tif (layersInList == 0)\\n\\t\\t\\t\\tscrollPaneHeight = 260;\\n\\t\\t\\n\\t\\t\\tif (scrollPaneHeight > 260)\\n\\t\\t\\t\\tscrollPaneHeight = 260;\\n\\t\\t\\t\\n\\t\\t\\n\\t\\t\\t// Create a new scroll pane where we will display the\\n\\t\\t\\t// list of layers.\\n\\t\\t\\tmLayerListScrollPane = new JScrollPane(mLayerListPanel);\\n\\t\\t\\tmLayerListScrollPane.setSize(260, scrollPaneHeight);\\n\\t\\t\\tmLayerListScrollPane.setLocation(20, 50);\\n\\t\\t\\n\\t\\t\\tmLayerListScrollPane.setBorder(\\n\\t\\t\\t\\tBorderFactory.createEmptyBorder(0, 0, 0, 0));\\n\\t\\t\\t\\n\\t\\t\\tthis.add(mLayerListScrollPane);\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t\\t// Label for the layers to deform.\\n\\t\\tJLabel layerListLabel = \\n\\t\\t\\tnew JLabel(\\\"Select layers to deform simultaneously:\\\");\\n\\t\\tlayerListLabel.setSize(260, 14);\\n\\t\\tlayerListLabel.setFont(smallFont);\\n\\t\\tlayerListLabel.setLocation(20, 20);\\n\\t\\tthis.add(layerListLabel);\\n\\t\\t\\n\\t\\t\\n\\t\\t// Label for no present layers.\\n\\t\\tif (nlayers <= 1)\\n\\t\\t{\\n\\t\\t\\tmNoLayerLabel = new JLabel(\\\"No other layer to be deformed.\\\");\\n\\t\\t\\tmNoLayerLabel.setSize(260, 14);\\n\\t\\t\\tmNoLayerLabel.setFont(smallFont);\\n\\t\\t\\tmNoLayerLabel.setLocation(20, 50);\\n\\t\\t\\tthis.add(mNoLayerLabel);\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t\\t\\n\\t\\t\\n\\t\\t// Cancel button\\n\\t\\tJButton cancelButton = new JButton(\\\"Cancel\\\");\\n\\t\\tcancelButton.setLocation(70, 330);\\n\\t\\tcancelButton.setSize(100, 26);\\n\\t\\t\\n\\t\\tcancelButton.addActionListener(new \\n\\t\\t\\tCartogramWizardSimulaneousLayerAction(\\n\\t\\t\\t\\\"closeDialogWithoutSaving\\\", this));\\n\\t\\t\\t\\n\\t\\tthis.add(cancelButton);\\n\\t\\t\\n\\t\\t\\n\\t\\t// Ok button\\n\\t\\tJButton okButton = new JButton(\\\"OK\\\");\\n\\t\\tokButton.setLocation(180, 330);\\n\\t\\tokButton.setSize(100, 26);\\n\\t\\t\\n\\t\\tokButton.addActionListener(new \\n\\t\\t\\tCartogramWizardSimulaneousLayerAction(\\n\\t\\t\\t\\\"closeDialogWithSaving\\\", this));\\n\\t\\t\\t\\n\\t\\tthis.add(okButton);\\n\\n\\t\\n\\t}\",\n \"public void setUpperLayer(Layer upperLayer) {\\n\\t\\tthis.upperLayer = upperLayer;\\n\\t}\",\n \"public Layer(Layer previousLayer, Neuron bias) {\\r\\n\\t\\tthis(previousLayer);\\r\\n\\t\\tthis.bias = bias;\\r\\n\\t\\tgetNeurons().add(bias); //Add the bias neuron\\r\\n\\t}\",\n \"@Override\\n\\tpublic void train(DataSet data) {\\n\\t\\tArrayList<Example> examples = data.getCopyWithBias().getData();\\n\\t\\t// initialize both weight vectors with random values between -0.1 ad 0.1\\n\\t\\tinitWeights(examples.size());\\n\\n\\t\\t// store outputs from forward calculation for each example\\n\\t\\t// array will have size # examples.\\n\\t\\tArrayList<Double> nodeOutputs = calculateForward(examples);\\n\\n\\t\\t// now take error and back-propagate from output to hidden nodes\\n\\n\\t\\tfor (int j = 0; j < examples.size(); j++) {\\n\\t\\t\\tExample ex = examples.get(j);\\n\\n\\t\\t\\t// get hidden node outputs for single example\\n\\t\\t\\tfor (int num = 0; num < numHidden; num++) {\\n\\t\\t\\t\\tArrayList<Double> h_outputs = hiddenOutputs.get(num);\\n\\t\\t\\t\\tdouble vDotH = dotProduct(h_outputs, layerTwoWeights); // calculate\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// v dot\\n\\t\\t\\t\\t// h for\\n\\t\\t\\t\\t// this node\\n\\n\\t\\t\\t\\tfor (int i = 0; i < numHidden - 1; i++) {\\n\\t\\t\\t\\t\\tdouble oldV = layerTwoWeights.get(i);\\n\\t\\t\\t\\t\\tdouble hk = h_outputs.get(i);\\n\\t\\t\\t\\t\\t// Equation describing line below:\\n\\t\\t\\t\\t\\t// v_k = v_k + eta*h_k(y-f(v dot h)) f'(v dot h)\\n\\t\\t\\t\\t\\tlayerTwoWeights.set(i, oldV + eta * hk * (ex.getLabel() - Math.tanh(vDotH)) * derivative(vDotH));\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tSet<Integer> features = ex.getFeatureSet();\\n\\t\\t\\t\\tIterator<Integer> iter = features.iterator();\\n\\t\\t\\t\\tArrayList<Double> featureVals = new ArrayList<Double>();\\n\\t\\t\\t\\tfor (int f : features) {\\n\\t\\t\\t\\t\\tfeatureVals.add((double) f);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// take that error and back-propagate one more time\\n\\t\\t\\t\\tfor (int x = 0; x < numHidden; x++) {\\n\\t\\t\\t\\t\\tArrayList<Double> initWeights = hiddenWeights.get(x);\\n\\t\\t\\t\\t\\t// List<Object> features =\\n\\t\\t\\t\\t\\t// Arrays.asList(ex.getFeatureSet().toArray());\\n\\n\\t\\t\\t\\t\\t// for (int i = 0; i < featureVals.size()-1; i++) {\\n\\t\\t\\t\\t\\tdouble oldWeight = initWeights.get(j);\\n\\t\\t\\t\\t\\tdouble thisInput = ex.getFeature(featureVals.get(x).intValue());\\n\\t\\t\\t\\t\\t// w_kj = w_kj + eta*xj(input)*f'(w_k dot x)*v_k*f'(v dot\\n\\t\\t\\t\\t\\t// h)(y-f(v dot h))\\n\\t\\t\\t\\t\\tdouble updateWeight = oldWeight + eta * thisInput * derivative(dotProduct(featureVals, initWeights))\\n\\t\\t\\t\\t\\t\\t\\t* layerTwoWeights.get(x) * derivative(vDotH) * (ex.getLabel() - Math.tanh(vDotH));\\n\\t\\t\\t\\t\\tinitWeights.set(j, updateWeight);\\n\\t\\t\\t\\t\\t// }\\n\\t\\t\\t\\t\\thiddenWeights.set(x, initWeights); // update weights for\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// current\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// example\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t}\",\n \"@Override\\n\\tpublic void backProp() {\\n\\t\\tdouble dOut = 0;\\n\\t\\tfor (Node n : outputs) {\\n\\t\\t\\tdOut += n.dInputs.get(this);\\n\\t\\t}\\n\\t\\tdouble dTotal = activationFunction.derivative(total)*dOut;\\n\\t\\tfor (Node n : inputs) {\\n\\t\\t\\tdInputs.put(n, dTotal * weights.get(n).getWeight());\\n\\t\\t\\tweights.get(n).adjustWeight(dTotal * n.output);\\n\\t\\t}\\n\\t\\tbiasWeight.adjustWeight(bias * dTotal);\\n\\t}\",\n \"public void switchBaseLayers() {\\n\\n\\t\\tgetViewer().setBaseLayerId(baseLayerName);\\n\\t}\",\n \"public WorkingNeuron getOutputNeuronFromName(String name) {\\n\\t\\tfor (WorkingNeuron neuron : outputLayer) {\\n\\t\\t\\tif (name.equals(neuron.getName())) {\\n\\t\\t\\t\\treturn neuron;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn null;\\n\\t}\",\n \"private void updateOutputValues()\\n {\\n // TODO: You may place code here to update outputY and outputZ\\n \\t// Drawing code belongs in drawOnTheCanvas\\n \\t\\n // example:\\n outputY = inputA && inputC;\\n }\",\n \"public void allLayers()\\n\\t{\\n\\t\\tint totalLayers = this.psd.getLayersCount();\\n\\t\\t\\n\\t\\tLayer layer;\\n\\t\\t\\n\\t\\tfor (int i = totalLayers - 1; i >= 0; i--) {\\n\\t\\t\\tlayer = this.psd.getLayer(i);\\n\\t\\t\\t\\n\\t\\t\\tif (!layer.isVisible() || (layer.getType() == LayerType.NORMAL && layer.getWidth() == 0)) {\\n\\t\\t\\t\\tthis.layersToRemove.add(layer);\\n\\t\\t\\t\\tcontinue;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tlayer.adjustPositionAndSizeInformation();\\n\\t\\t\\tthis.layerId++;\\n\\t\\t\\t\\n\\t\\t\\tif (LayerType.NORMAL == layer.getType()) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tlayer.setUniqueLayerId(this.layerId);\\n\\t\\t\\t\\tlayer.setGroupLayerId(0);\\n\\t\\t\\t\\tlayer.setDepth(0);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tthis.layers.add(layer);\\n\\t\\t\\t\\t\\n\\t\\t\\t} else if (LayerType.OPEN_FOLDER == layer.getType() || LayerType.CLOSED_FOLDER == layer.getType()) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tlayer.setUniqueLayerId(this.layerId);\\n\\t\\t\\t\\tlayer.setGroupLayerId(0);\\n\\t\\t\\t\\tlayer.setDepth(0);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tthis.layers.add(layer);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif (layer.getLayersCount() > 0) {\\n\\t\\t\\t\\t\\tthis.subLayers(layer, this.layerId, 1);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public int getLayer()\\n\\t{\\n\\t\\treturn layer;\\n\\t}\",\n \"public final void setActiveLayer(BaseDodlesViewGroup layer) {\\n activeLayer = layer;\\n }\",\n \"@Override\\n\\tpublic int getGameLayer() {\\n\\t\\treturn 0;\\n\\t}\",\n \"NNImpl(ArrayList<Instance> trainingSet, int hiddenNodeCount, Double learningRate, int maxEpoch, Random random, Double[][] hiddenWeights, Double[][] outputWeights) {\\r\\n this.trainingSet = trainingSet;\\r\\n this.learningRate = learningRate;\\r\\n this.maxEpoch = maxEpoch;\\r\\n this.random = random;\\r\\n\\r\\n //input layer nodes\\r\\n inputNodes = new ArrayList<>();\\r\\n int inputNodeCount = trainingSet.get(0).attributes.size();\\r\\n int outputNodeCount = trainingSet.get(0).classValues.size();\\r\\n for (int i = 0; i < inputNodeCount; i++) {\\r\\n Node node = new Node(0);\\r\\n inputNodes.add(node);\\r\\n }\\r\\n\\r\\n //bias node from input layer to hidden\\r\\n Node biasToHidden = new Node(1);\\r\\n inputNodes.add(biasToHidden);\\r\\n\\r\\n //hidden layer nodes\\r\\n hiddenNodes = new ArrayList<>();\\r\\n for (int i = 0; i < hiddenNodeCount; i++) {\\r\\n Node node = new Node(2);\\r\\n //Connecting hidden layer nodes with input layer nodes\\r\\n for (int j = 0; j < inputNodes.size(); j++) {\\r\\n NodeWeightPair nwp = new NodeWeightPair(inputNodes.get(j), hiddenWeights[i][j]);\\r\\n node.parents.add(nwp);\\r\\n }\\r\\n hiddenNodes.add(node);\\r\\n }\\r\\n\\r\\n //bias node from hidden layer to output\\r\\n Node biasToOutput = new Node(3);\\r\\n hiddenNodes.add(biasToOutput);\\r\\n\\r\\n //Output node layer\\r\\n outputNodes = new ArrayList<>();\\r\\n for (int i = 0; i < outputNodeCount; i++) {\\r\\n Node node = new Node(4);\\r\\n //Connecting output layer nodes with hidden layer nodes\\r\\n for (int j = 0; j < hiddenNodes.size(); j++) {\\r\\n NodeWeightPair nwp = new NodeWeightPair(hiddenNodes.get(j), outputWeights[i][j]);\\r\\n node.parents.add(nwp);\\r\\n }\\r\\n outputNodes.add(node);\\r\\n }\\r\\n }\",\n \"public int getLayer() {\\r\\n\\t\\treturn layer;\\r\\n\\t}\",\n \"private void activeDrawEffects() {\\n }\",\n \"public void setAllTransformable() {\\n for (Iterator<TransformLayer> itr =tLayerPool.values().iterator(); itr.hasNext(); ) {\\n TransformLayer layer = itr.next();\\n layer.setAllTransformable();\\n }\\n }\",\n \"public List<Boolean> getLayerVisibility ()\\n {\\n return Collections.unmodifiableList(_vis);\\n }\",\n \"@SuppressWarnings( { \\\"unchecked\\\",\\\"varargs\\\" } )\\n LayerAssembly withActivators( Class<? extends Activator<Layer>>... activators );\",\n \"private double[][] forwardPropogate(double[][] inputs, double[][] weights) {\\n\\t\\tdouble[][] resultLayer = m.dot(inputs, weights);\\n\\t\\tsigmoid(resultLayer);\\n\\t\\treturn resultLayer;\\n\\t}\",\n \"public Path visualizeAllFilters() throws ParseException{\\n\\t\\tint nombreFiltres = (int) Math.ceil(Math.sqrt(this.layers[1].length));\\n\\t\\tint pixelParFiltre = (int) Math.sqrt(this.layers[0].length);\\n\\t\\tint ecart = (nombreFiltres-1);\\n\\t\\tint taille = (nombreFiltres*pixelParFiltre)+ecart;\\n\\t\\tdouble[][] allFilters = new double[taille][taille];\\n\\t\\tfor(int k=0; k<taille; k++){\\n\\t\\t\\tfor(int j = 0; j<taille; j++){\\n\\t\\t\\t\\tallFilters[k][j] = 1; \\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t\\n\\t\\tfor(int i=0; i < this.layers[1].length; i++){\\n\\n\\t\\t\\tdouble[] image1DFilter = new double[this.layers[0].length];\\n\\n\\t\\t\\t/*For each filter we put one output \\n\\t\\t\\t * node to 1 the others to 0\\n\\t\\t\\t */\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tfor(int j=0; j<this.layers[1].length; j++){\\n\\t\\t\\t\\tif (j==i){\\n\\t\\t\\t\\t\\tthis.layers[1][j].setState(1);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse{\\n\\t\\t\\t\\t\\tthis.layers[1][j].setState(0);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\t/*We update the visible layer given the distribution\\n\\t\\t\\t * of the hidden layer we set and store it in image1DFilter\\n\\t\\t\\t * \\n\\t\\t\\t */\\n\\t\\t\\t\\n\\t\\t\\t/*for(int k = 0; k < this.layers[0].length; k++){\\n\\t\\t\\t\\tdouble x = this.layers[0][i].getBias();\\n\\t\\t\\t\\tfor(int j = 0; j < this.layers[(0 + 1) % 2].length; j++){\\n\\t\\t\\t\\t\\tx += this.connections[k][j]*this.layers[1][j].getState();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\timage1DFilter[k]=Sigmoid.getINSTANCE().apply(x);\\n\\t\\t\\t}*/\\n\\t\\t\\t\\n\\t\\t\\tfor(int k = 0; k < this.layers[0].length; k++){\\n\\t\\t\\t\\tdouble x = this.layers[0][k].getBias();\\n\\t\\t\\t\\tx += this.connections[k][i];\\n\\t\\t\\t\\timage1DFilter[k]=Sigmoid.getINSTANCE().apply(x);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\n\\t\\t\\tdouble [][]image2DFilter = Tools.image1Dto2Ddouble(image1DFilter, pixelParFiltre, pixelParFiltre);\\n\\n\\t\\t\\tint rang = i % nombreFiltres;\\n\\t\\t\\tint ligne =(int) Math.floor(i/nombreFiltres);\\n\\t\\t\\t\\n\\t\\t\\t// System.out.println(ligne + \\\",\\\" + rang );\\n\\n\\t\\t\\tfor(int k = 0; k< image2DFilter[0].length; k++){\\n\\t\\t\\t\\tfor(int j = 0; j<image2DFilter[0].length; j++){\\n\\t\\t\\t\\t\\tallFilters[ligne*(pixelParFiltre+1)+k][rang*(pixelParFiltre+1)+j]=image2DFilter[k][j];\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\t/*\\n\\t\\t\\t * for(int o=0; o<image2DFilter[0].length -1 ; o++){\\n\\t\\t\\t\\tfor(int j=0; j<image2DFilter[1].length; j++){\\n\\t\\t\\t\\t\\tSystem.out.println(image2DFilter[i][j]);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t *\\n\\t\\t\\t */\\n\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t\\t\\n\\t\\tOutputWeights output = new OutputWeights(allFilters);\\n\\t\\tString date = \\\"_\\\" + LocalDateTime.now();\\n\\t\\tint month = LocalDateTime.now().getMonthValue();\\n\\t\\tint year = LocalDateTime.now().getYear();\\n\\t\\tint day = LocalDateTime.now().getDayOfMonth();\\n\\t\\tint hour = LocalDateTime.now().getHour();\\n\\t\\tint minute = LocalDateTime.now().getMinute();\\n\\t\\tint seconde = LocalDateTime.now().getSecond();\\n\\t\\t\\n\\t\\tdate = day + \\\"-\\\" + month + \\\"-\\\" + year + \\\"_\\\" + hour + \\\"h\\\" + minute + \\\"m\\\" + seconde;\\n\\t\\t\\n\\t\\tPath path = Paths.get(\\\"RBM_Filters/Filtre_\\\" + date, date + \\\"_AllFilters\\\" + \\\".bmp\\\");\\n\\t\\tFile f = new File(\\\"RBM_Filters/Filtre_\\\" + date);\\n\\t\\tf.mkdirs();\\n\\t\\ttry {\\n\\t\\t\\toutput.toBmp(path);\\n\\t\\t\\tSystem.out.println(\\\"Images Cr�es\\\");\\n\\t\\t} catch (java.io.IOException e) {\\n\\n\\t\\t\\tSystem.out.println(\\\"Exception\\\");\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn path;\\n\\t\\t\\n\\t}\",\n \"public void writeNumberOfHiddenLayers() {\\r\\n \\r\\n hiddenLayerContainer.setNumberOfHiddenLayers(numberOfHiddenLayers);\\r\\n }\",\n \"protected void trainModuleNN(Map<DiscreteState, Double> out1f, int[] numHidden,\\n\\t\\t\\tint epochs, double lRate, double mRate, double sRate) {\\n\\t\\tfor(int i = 0; i < epochs; i++) {\\n//\\t\\t\\tdouble err = 0;\\n\\t\\t\\tfor (Map.Entry<DiscreteState, Double> entry : out1f.entrySet()) {\\n\\t\\t\\t\\tdouble[] input = entry.getKey().getRawState();\\n\\t\\t\\t\\tif (neuralNet == null) neuralNet = new FFNeuralNetwork(ActivationFunction.SIGMOID0p5,\\n\\t\\t\\t\\t\\t\\tinput.length, 1, numHidden);\\n\\t\\t\\t\\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), input);\\n\\t\\t\\t\\tFFNeuralNetwork.backPropagate(neuralNet.getOutputNodes(), lRate, mRate, sRate, entry.getValue());\\n//\\t\\t\\t\\terr += FFNeuralNetwork.getError(new double[] {entry.getValue()}, neuralNet.getOutputNodes());\\n\\t\\t\\t}\\n//\\t\\t\\tSystem.out.println(i + \\\"\\t\\\" + err / out1f.size());\\n\\t\\t}\\n//\\t\\tfor (Map.Entry<DiscreteState, Double> entry : out1f.entrySet()) {\\n//\\t\\t\\tFFNeuralNetwork.feedForward(neuralNet.getInputNodes(), entry.getKey().getRawState());\\n//\\t\\t\\tSystem.out.println(entry.getValue() + \\\"\\tvs\\t\\\" + neuralNet.getOutputNodes().get(0).getActivation());\\n//\\t\\t}\\n\\t\\tif (rel2ModuleInput.isEmpty()) {\\n\\t\\t\\tArrayList<? extends Node> inputNodes = neuralNet.getInputNodes();\\n\\t\\t\\tint j = 0;\\n\\t\\t\\tfor (IndirectInput rel : relations) rel2ModuleInput.put(rel, inputNodes.get(j++));\\n\\t\\t}\\n\\t}\",\n \"public double[] execute(double[] inputs) {\\n _layers[0] = inputs.clone();\\n for (int i = 1; i < _layers.length; i++) {\\n // Each iteration fills out the ith layer with the values needed.\\n// System.out.println(\\\"i = \\\" + i);\\n// System.out.println(\\\"layers[0].length: \\\" + _layers[0].length);\\n _layers[i] = getNextLayer(_layers[i-1], _weights[i-1], _biases[i-1]);\\n }\\n return _layers[_layers.length-1];\\n }\",\n \"public void fire() {\\n\\t\\tif (nextLayerNodes.size() == 0) {\\n\\t\\t\\t// todo: handle output layer\\n//\\t\\t\\tSystem.out.printf(\\\"\\tOutput = %f%n\\\", output);\\n\\t\\t\\tSystem.out.printf(\\\"\\tPre Activation Function Output = %f%n\\\", preActivationFunctionOutput);\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tNode[] nextNodes = new Node[nextLayerNodes.keySet().toArray().length];\\n\\t\\tfor (int i = 0; i < nextNodes.length; i++) {\\n\\t\\t\\tnextNodes[i] = (Node) nextLayerNodes.keySet().toArray()[i];\\n\\t\\t}\\n\\t\\tfor (int i = 0; i < nextLayerNodes.size(); i++) {\\n\\t\\t\\t// sends the weight of the connection to a node in the next layer * the output of the activation function from this layer\\n\\t\\t\\tnextNodes[i].addInput(nextLayerNodes.get(nextNodes[i])*output);\\n\\t\\t}\\n\\t}\",\n \"public static Map<String, Object> l_LAYER_MODEL_Generic(double[][] X,\\r\\n\\t\\t\\tdouble[][] Y, int[] layerDimenstions,\\r\\n\\t\\t\\tParameterInitializationType paramInitType, double learningRate,\\r\\n\\t\\t\\tint numOfIterations, DeepNNOptimizers optimiser,\\r\\n\\t\\t\\tDeepNNRegularizor regulizer, double dropOutKeepThreshould,\\r\\n\\t\\t\\tDeepNNActivations hiddenLayersActivation,\\r\\n\\t\\t\\tDeepNNActivations finalLayerActivation,\\r\\n\\t\\t\\tDeepNNCostFunctions costFunction, int totalNumberOfBatches,\\r\\n\\t\\t\\tboolean isMultiClassClassification, boolean iprintCost)\\r\\n\\t\\t\\tthrows Exception {\\r\\n\\r\\n\\t\\tMatrixUtil.setSeed(IPredictionModelConstants.RANDOM_SEED_FOR_REPRODUCIBILITY);\\r\\n\\r\\n\\t\\t//XYSeries //seriesData = new XYSeries(\\\"Cost\\\");\\r\\n\\t\\t// X = np.T(X);\\r\\n\\t\\t// Y = np.T(Y);\\r\\n\\r\\n\\t\\t\\r\\n\\t\\tint m = X[0].length;\\r\\n\\r\\n\\t\\tMap<String, Object> parameters = DNNUtils.initializeParameterDeep(\\r\\n\\t\\t\\t\\tlayerDimenstions, m, paramInitType);\\r\\n\\t\\tMap<Enum<DeepNNKeysForMaps>, Object> AdamParameters = null;\\r\\n\\t\\tMap<String, Object> grads = null;\\r\\n\\t\\tMap<String, Object> actCaches = null;\\r\\n\\t\\tMap<String, Object> feedForwardResult = null;\\r\\n\\t\\tdouble[][] AL = null;\\r\\n\\t\\tint L = parameters.size() / 2, costPlotCount = 1;\\r\\n\\t\\tdouble cost = 0.0;\\r\\n\\t\\tdouble finalPrecision = 0.0, beta1 = 0.9, beta2 = 0.99, adamt = 2;\\r\\n\\t\\tdouble[][] X_reamining = X;\\r\\n\\t\\tdouble[][] Y_remaining = Y;\\r\\n\\t\\tdouble[][] X_Single_Batch = null, Y_Batch = null, Y_Single_batch = null;\\r\\n\\t\\tMap<String, Object> dropOutMap = new HashMap<>();\\r\\n\\t\\tMap<DeepNNKeysForMaps, Object> oneHotMatrixresult = null;\\r\\n\\t\\tMap<Enum<DeepNNKeysForMaps>, Object> resultMap = null;\\r\\n\\t\\tif (optimiser == DeepNNOptimizers.ADAM) {\\r\\n\\t\\t\\tAdamParameters = DNNUtils.initializeAdamParameters(parameters);\\r\\n\\t\\t\\tbeta1 = 0.9;\\r\\n\\t\\t\\tbeta2 = 0.999;\\r\\n\\t\\t\\tadamt = 2;\\r\\n\\r\\n\\t\\t}\\r\\n\\t\\tint ithBatchSize = totalNumberOfBatches;\\r\\n\\t\\tfor (int batch = 1; batch <= totalNumberOfBatches; batch++) {\\r\\n\\r\\n\\t\\t\\tdouble firstBatchSize = 1 - (double) 1 / ithBatchSize--;\\r\\n\\t\\t\\tif (batch != totalNumberOfBatches) {\\r\\n\\t\\t\\t\\tif (isMultiClassClassification) {\\r\\n\\t\\t\\t\\t\\tresultMap = MatrixUtil.splitIntoTrainAndTestForClassification(\\r\\n\\t\\t\\t\\t\\t\\t\\tX_reamining, Y_remaining, firstBatchSize);\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\tresultMap = MatrixUtil.splitIntoTrainAndTestForRegression(\\r\\n\\t\\t\\t\\t\\t\\t\\tX_reamining, Y_remaining, firstBatchSize);\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\tX_reamining = (double[][]) resultMap\\r\\n\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_FEATURE_MATRIX);\\r\\n\\t\\t\\t\\tY_remaining = (double[][]) resultMap\\r\\n\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_OUTPUT_LABEL);\\r\\n\\t\\t\\t\\tX_Single_Batch = (double[][]) resultMap\\r\\n\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_FEATURE_MATRIX_TEST);\\r\\n\\t\\t\\t\\tY_Batch = (double[][]) resultMap\\r\\n\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_OUTPUT_LABEL_TEST);\\r\\n\\r\\n\\t\\t\\t\\tif (isMultiClassClassification) {\\r\\n\\t\\t\\t\\t\\toneHotMatrixresult = MatrixUtil.createOneHotVectorMatrix(Y_Batch);\\r\\n\\t\\t\\t\\t\\tint numberOfClasses = (int) oneHotMatrixresult\\r\\n\\t\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_NUMBER_OF_CLASSES);\\r\\n\\t\\t\\t\\t\\tif (numberOfClasses != layerDimenstions[layerDimenstions.length - 1]) {\\r\\n\\t\\t\\t\\t\\t\\tSystem.err\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.println(\\\"not enough dimensions sampled, so eskipping the batch with size :\\\"\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ X_Single_Batch.length);\\r\\n\\t\\t\\t\\t\\t\\tcontinue;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\tY_Single_batch = (double[][]) oneHotMatrixresult\\r\\n\\t\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_ONE_HOT_MATRIX);\\r\\n\\t\\t\\t\\t} else {\\r\\n\\r\\n\\t\\t\\t\\t\\tY_Single_batch = Y_Batch;\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tX_Single_Batch = X_reamining;\\r\\n\\t\\t\\t\\tif (isMultiClassClassification) {\\r\\n\\t\\t\\t\\t\\toneHotMatrixresult = MatrixUtil\\r\\n\\t\\t\\t\\t\\t\\t\\t.createOneHotVectorMatrix(Y_remaining);\\r\\n\\t\\t\\t\\t\\tint numberOfClasses = (int) oneHotMatrixresult\\r\\n\\t\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_NUMBER_OF_CLASSES);\\r\\n\\t\\t\\t\\t\\tY_Single_batch = (double[][]) oneHotMatrixresult\\r\\n\\t\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_ONE_HOT_MATRIX);\\r\\n\\t\\t\\t\\t\\tif (numberOfClasses != layerDimenstions[layerDimenstions.length - 1]) {\\r\\n\\t\\t\\t\\t\\t\\tSystem.err\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.println(\\\"not enough dimension result sampled, so eskipping the batch with size :\\\"\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ X_Single_Batch.length);\\r\\n\\t\\t\\t\\t\\t\\tcontinue;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\tY_Single_batch = Y_remaining;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tm = X_Single_Batch.length;\\r\\n\\t\\t\\tMatrixUtil.print(\\\"==============epoch :\\\" + batch + \\\"/ \\\"\\r\\n\\t\\t\\t\\t\\t+ totalNumberOfBatches + \\\" with size: \\\"\\r\\n\\t\\t\\t\\t\\t+ X_Single_Batch.length);\\r\\n\\t\\t\\tX_Single_Batch = MatrixUtil.T(X_Single_Batch);\\r\\n\\t\\t\\tY_Single_batch = MatrixUtil.T(Y_Single_batch);\\r\\n\\r\\n\\t\\t\\tfor (int i = 0; i < numOfIterations; i++) {\\r\\n\\t\\t\\t\\tStopwatch stopWatch = new Stopwatch();\\r\\n\\t\\t\\t\\tfeedForwardResult = DNNUtils.L_model_forward_Generic(\\r\\n\\t\\t\\t\\t\\t\\tX_Single_Batch, parameters, hiddenLayersActivation,\\r\\n\\t\\t\\t\\t\\t\\tfinalLayerActivation, regulizer, dropOutKeepThreshould,\\r\\n\\t\\t\\t\\t\\t\\tdropOutMap);\\r\\n\\t\\t\\t\\tactCaches = (Map<String, Object>) feedForwardResult.get(String\\r\\n\\t\\t\\t\\t\\t\\t.valueOf(\\\"actCache_\\\" + (L)));\\r\\n\\t\\t\\t\\tAL = (double[][]) actCaches.get(String.valueOf(\\\"A\\\"));\\r\\n\\t\\t\\t\\t// System.out.println(\\\"time taking in forward propogation: \\\"+stopWatch.elapsedTime());\\r\\n\\t\\t\\t\\tcost = DNNUtils.getCost(m, Y_Single_batch, AL, costFunction);\\r\\n\\r\\n\\t\\t\\t\\t//seriesData.add((costPlotCount++), cost);\\r\\n\\t\\t\\t\\t//\\r\\n\\t\\t\\t\\t// stopWatch=new Stopwatch();\\r\\n\\t\\t\\t\\tgrads = DNNUtils.L_model_backward_Generic(AL, Y_Single_batch,\\r\\n\\t\\t\\t\\t\\t\\tfeedForwardResult, hiddenLayersActivation,\\r\\n\\t\\t\\t\\t\\t\\tfinalLayerActivation, costFunction, regulizer,\\r\\n\\t\\t\\t\\t\\t\\tdropOutKeepThreshould, dropOutMap); // here i\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// should\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// pass both\\r\\n\\t\\t\\t\\t// System.out.println(\\\"time taking in backward propogation: \\\"+stopWatch.elapsedTime());\\r\\n\\t\\t\\t\\t// // cashes;\\r\\n\\t\\t\\t\\tif (optimiser == DeepNNOptimizers.ADAM) {\\r\\n\\t\\t\\t\\t\\tAdamParameters = DNNUtils.updateParametersWithAdams(\\r\\n\\t\\t\\t\\t\\t\\t\\tparameters, grads, AdamParameters, adamt,\\r\\n\\t\\t\\t\\t\\t\\t\\tlearningRate, beta1, beta2,\\r\\n\\t\\t\\t\\t\\t\\t\\tIPredictionModelConstants.EPSILON);\\r\\n\\t\\t\\t\\t\\tparameters = (Map<String, Object>) AdamParameters\\r\\n\\t\\t\\t\\t\\t\\t\\t.get(DeepNNKeysForMaps.KEY_FOR_NN_PARAMETERS);\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\tparameters = DNNUtils.updateParametersWithGD(parameters,\\r\\n\\t\\t\\t\\t\\t\\t\\tgrads, learningRate);\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\tif (i % 400 == 0 && iprintCost) {\\r\\n\\t\\t\\t\\t\\tMatrixUtil.print(\\\"==============\\\");\\r\\n\\t\\t\\t\\t\\tMatrixUtil.print(\\\"Cost = \\\" + cost);\\r\\n\\t\\t\\t\\t\\t// np.print(\\\"Predictions = \\\" + Arrays.deepToString(AL));\\r\\n\\t\\t\\t\\t\\t// np.print(\\\"Real = \\\" + Arrays.deepToString(Y));\\r\\n\\t\\t\\t\\t\\tif (isMultiClassClassification) {\\r\\n\\t\\t\\t\\t\\t\\tfinalPrecision = DNNUtils\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.accuracyForMultiClassClassification(AL,\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tY_Single_batch);\\r\\n\\t\\t\\t\\t\\t\\t// np.printshapes(AL, Y_OneHot);\\r\\n\\t\\t\\t\\t\\t\\tMatrixUtil.print(\\\"Predicted multiclass classification precision= \\\"\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t+ finalPrecision);\\r\\n\\t\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\t\\tfinalPrecision = DNNUtils.accuracyForClassification(AL,\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tY_Single_batch);\\r\\n\\t\\t\\t\\t\\t\\tMatrixUtil.print(\\\"Predicted classification precision= \\\"\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t+ finalPrecision);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t} else if (i % 40 == 0 && !iprintCost) {\\r\\n\\t\\t\\t\\t\\tMatrixUtil.print(\\\"Cost = \\\" + cost);\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn parameters;\\r\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.64377326","0.6331536","0.6167393","0.6031687","0.5928623","0.59100616","0.57737476","0.57712764","0.5737404","0.5719112","0.57065135","0.5678794","0.5674687","0.56070465","0.55183643","0.5506596","0.5501749","0.5471489","0.54580927","0.54289526","0.5378932","0.5366561","0.53596365","0.53551817","0.534651","0.5342321","0.53175485","0.53133297","0.52788174","0.52339154","0.52307075","0.52260274","0.5219427","0.5219288","0.5210234","0.52047","0.5199781","0.51988834","0.5186715","0.5183955","0.5166241","0.5162559","0.51535237","0.5148266","0.51230025","0.51220685","0.5119236","0.51156455","0.51069945","0.51051766","0.5095065","0.50903326","0.5086394","0.5083723","0.507113","0.5055411","0.50496876","0.5045517","0.50180846","0.50063276","0.49905577","0.49674234","0.49524018","0.49307963","0.49289882","0.49269554","0.49203765","0.49147436","0.49128965","0.4912873","0.49062625","0.48923275","0.48917243","0.48905715","0.48855698","0.48830283","0.48814377","0.48758188","0.48747948","0.486626","0.48628303","0.4857035","0.48496428","0.4842337","0.48414183","0.48410153","0.48342142","0.48187977","0.48164514","0.48162252","0.48077425","0.48042494","0.4798492","0.479602","0.47933844","0.47885588","0.4787488","0.477364","0.47675925","0.47674173"],"string":"[\n \"0.64377326\",\n \"0.6331536\",\n \"0.6167393\",\n \"0.6031687\",\n \"0.5928623\",\n \"0.59100616\",\n \"0.57737476\",\n \"0.57712764\",\n \"0.5737404\",\n \"0.5719112\",\n \"0.57065135\",\n \"0.5678794\",\n \"0.5674687\",\n \"0.56070465\",\n \"0.55183643\",\n \"0.5506596\",\n \"0.5501749\",\n \"0.5471489\",\n \"0.54580927\",\n \"0.54289526\",\n \"0.5378932\",\n \"0.5366561\",\n \"0.53596365\",\n \"0.53551817\",\n \"0.534651\",\n \"0.5342321\",\n \"0.53175485\",\n \"0.53133297\",\n \"0.52788174\",\n \"0.52339154\",\n \"0.52307075\",\n \"0.52260274\",\n \"0.5219427\",\n \"0.5219288\",\n \"0.5210234\",\n \"0.52047\",\n \"0.5199781\",\n \"0.51988834\",\n \"0.5186715\",\n \"0.5183955\",\n \"0.5166241\",\n \"0.5162559\",\n \"0.51535237\",\n \"0.5148266\",\n \"0.51230025\",\n \"0.51220685\",\n \"0.5119236\",\n \"0.51156455\",\n \"0.51069945\",\n \"0.51051766\",\n \"0.5095065\",\n \"0.50903326\",\n \"0.5086394\",\n \"0.5083723\",\n \"0.507113\",\n \"0.5055411\",\n \"0.50496876\",\n \"0.5045517\",\n \"0.50180846\",\n \"0.50063276\",\n \"0.49905577\",\n \"0.49674234\",\n \"0.49524018\",\n \"0.49307963\",\n \"0.49289882\",\n \"0.49269554\",\n \"0.49203765\",\n \"0.49147436\",\n \"0.49128965\",\n \"0.4912873\",\n \"0.49062625\",\n \"0.48923275\",\n \"0.48917243\",\n \"0.48905715\",\n \"0.48855698\",\n \"0.48830283\",\n \"0.48814377\",\n \"0.48758188\",\n \"0.48747948\",\n \"0.486626\",\n \"0.48628303\",\n \"0.4857035\",\n \"0.48496428\",\n \"0.4842337\",\n \"0.48414183\",\n \"0.48410153\",\n \"0.48342142\",\n \"0.48187977\",\n \"0.48164514\",\n \"0.48162252\",\n \"0.48077425\",\n \"0.48042494\",\n \"0.4798492\",\n \"0.479602\",\n \"0.47933844\",\n \"0.47885588\",\n \"0.4787488\",\n \"0.477364\",\n \"0.47675925\",\n \"0.47674173\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6753463"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":32578,"cells":{"query":{"kind":"string","value":"/ Find the error at the output units Create delta"},"document":{"kind":"string","value":"private void backwardPropagation(int[] trainingData, int[] trainingLabel, double[] outputActivations, double[] hiddenActiv) {\n\t\tdouble[] delta = new double[SIZE_OUTPUT_LAYER];\n\t\t// Update OutputLayer weights\n\t\tfor(int indexOutput = 0; indexOutput < SIZE_OUTPUT_LAYER; indexOutput++) {\n\t\t\t// We define delta as the difference between the real label and the softmax probability\n\t\t\tdelta[indexOutput] = trainingLabel[indexOutput] - outputActivations[indexOutput];\n\n\t\t\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\n\t\t\t\tweightsOfOutputLayer[indexOutput][indexHidden] += learningRate * delta[indexOutput] * hiddenActiv[indexHidden] / datasetSize;\n\t\t\t}\t\n\t\t\tbiasOfOutputLayer[indexOutput] += learningRate * delta[indexOutput] / datasetSize;\n\t\t}\t\n\t\t// Create delta2 \n\t\tdouble[] delta2 = new double[SIZE_HIDDEN_LAYER];\n\t\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\n\t\t\tdelta2[i] = 0;\n\t\t\tfor(int j = 0; j < SIZE_OUTPUT_LAYER; j++) {\n\t\t\t\t// Why is it multiplying the weights for delta1?\n\t\t\t\tdelta2[i] += delta[j] * weightsOfOutputLayer[j][i];\n\t\t\t}\n\t\t\tdelta2[i] *= dtanh(hiddenActiv[i]);\n\t\t}\n\t\t// Update HiddenLayer weights\n\t\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\n\t\t\tfor(int j = 0; j < SIZE_INPUT_LAYER; j++) {\n weightsOfHiddenLayer[i][j] += learningRate * delta2[i] * (double)trainingData[j] / datasetSize;\n\t\t\t}\n biasOfHiddenLayer[i] += learningRate * delta2[i] / datasetSize;\n\t\t}\t\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["private double calculateError(double[] outputsActual, double[] outputsTarget) {\n return Utilities.calculateError(outputsActual, outputsTarget);\n }","private double computeError(){\n double temp = 0;\r\n for(int trial_Number = 0; trial_Number < expectedOutputList.length; trial_Number++){\r\n for(int index = 0; index< expectedOutputList[trial_Number].length; index++){\r\n double difference = expectedOutputList[trial_Number][index] - this.getOutput()[index];\r\n double error = difference*difference;\r\n temp += error;\r\n }\r\n }\r\n return temp;\r\n }","OutputDeviation createOutputDeviation();","public void calculateError(double expected) {\n error = neuron.getTransferFunction().derivative(neuron.getRawOutput()) * (expected - neuron.getOutput());\n }","void calculateError(double targetValue) {\n this.error = this.getOutput()*(1-this.getOutput())*(this.getOutput()-targetValue);\n }","public void calcError(double[] idealOutput){\n for (int i = 0; i < getNeuronCount(); i++) {\n setError(i, idealOutput[i] - fire[i]);\n setErrorDelta(i, bound(calculateDelta(i)));\n }\n\n }","@Override\n\tpublic void calculateError() {\n\t\t\n\t}","public double getError(int dataCase){//target - outputOfNet\n\t\treturn data[dataCase][1][0] - outputs[1][0];\n\t}","private double[][] delta(double[][] error, double[][] layer) {\n\t\tdouble[][] delta = new double[error.length][error[0].length];\n\t\tfor (int j = 0; j < error.length; j++) {\n\t\t\tfor (int k = 0; k < error[0].length; k++) {\n\t\t\t\tdelta[j][k] = error[j][k] * (layer[j][k] * (1.0 - layer[j][k]));\n\t\t\t}\n\t\t}\n\t\treturn delta;\n\t}","private void calculateError() {\n this.error = this.elementCount - this.strippedPartition.size64();\n }","WorldUps.UErr getError(int index);","public double getError(double desiredHeading) {\n return desiredHeading - getHeading();\n }","public double GetTimeError(){\n\t\treturn this.timeError;\n\t}","@DISPID(126)\r\n\t// = 0x7e. The runtime will prefer the VTID if present\r\n\t@VTID(121)\r\n\tasci.activebatch.IAbatTimeSpan expectedDelta();","@Test\n public void testDelta() throws Exception\n {\n Cluster cluster = CacheFactory.ensureCluster();\n\n DeltaData[] aData = configDelta(cluster);\n\n String outputDir = m_temporaryFolder.newFolder().getCanonicalPath();\n \n String sReport = \"unit-test-delta.xml\";\n String sOutput = outputDir + File.separator + \"unit-test-delta.txt\";\n String sValidate = \"./unit-test-delta-base.txt\";\n String sError = \"Incorrect Delta calculations\";\n\n deleteFile(sOutput);\n\n Reporter reporter = new Reporter();\n reporter.run(sReport, outputDir + File.separator, 1, null);\n\n updateData(aData);\n\n reporter.run(sReport, outputDir + File.separator, 2, null);\n\n updateData(aData);\n\n reporter.run(sReport, outputDir + File.separator, 3, null);\n\n assertTrue(sError, compareFiles(sOutput, sValidate));\n }","public synchronized double getError()\n {\n final String funcName = \"getError\";\n\n if (debugEnabled)\n {\n dbgTrace.traceEnter(funcName, TrcDbgTrace.TraceLevel.API);\n dbgTrace.traceExit(funcName, TrcDbgTrace.TraceLevel.API, \"=%f\", currError);\n }\n\n return currError;\n }","public static double getDelta()\n\t{\n\t\treturn delta;\n\t}","private double[] outputDifferences(double[] n) throws Exception {\n\t\tif (n.length != this.expectedOutputs.length) throw new Exception(\"ERROR: Training data incompatible with network (expected size: \" + n.length + \", got: \" + this.expectedOutputs.length + \")\");\n\t\telse {\n\t\t\tdouble[] dif = new double[n.length];\n\t\t\t\n\t\t\tfor (int i = 0; i < n.length; i ++) {\n\t\t\t\tdif[i] = this.expectedOutputs[i] - n[i];\n\t\t\t}\n\t\t\t\n\t\t\treturn dif;\n\t\t}\n\t}","private static synchronized double calc_deltaT(double tjd) {\n\t\tdouble ans = 0;\n\t\tdouble B, Y, Ygreg, dd;\n\t\tint iy;\n\t\tint deltat_model = sw.swed.astro_models[SweConst.SE_MODEL_DELTAT];\n\t\tif (deltat_model == 0)\n\t\t\tdeltat_model = SweConst.SEMOD_DELTAT_DEFAULT;\n\t\t/* read additional values from swedelta.txt */\n\t\t/* AS_BOOL use_espenak_meeus = DELTAT_ESPENAK_MEEUS_2006; */\n\t\tY = 2000.0 + (tjd - SwephData.J2000) / 365.25;\n\t\tYgreg = 2000.0 + (tjd - SwephData.J2000) / 365.2425;\n\t\t/*\n\t\t * Before 1633 AD, if the macro DELTAT_ESPENAK_MEEUS_2006 is TRUE:\n\t\t * Polynomials by Espenak & Meeus 2006, derived from Stephenson &\n\t\t * Morrison 2004. Note, Espenak & Meeus use their formulae only from\n\t\t * 2000 BC on. However, they use the long-term formula of Morrison &\n\t\t * Stephenson, which can be used even for the remoter past.\n\t\t */\n\t\t/* if (use_espenak_meeus && tjd < 2317746.13090277789) { */\n\t\tif (deltat_model == SweConst.SEMOD_DELTAT_ESPENAK_MEEUS_2006 && tjd < 2317746.13090277789) {\n\t\t\treturn deltat_espenak_meeus_1620(tjd);\n\t\t}\n\t\t/*\n\t\t * If the macro DELTAT_ESPENAK_MEEUS_2006 is FALSE: Before 1620, we\n\t\t * follow Stephenson & Morrsion 2004. For the tabulated values 1000 BC\n\t\t * through 1600 AD, we use linear interpolation.\n\t\t */\n\t\tif (Y < TABSTART) {\n\t\t\tif (Y < TAB2_END) {\n\t\t\t\treturn deltat_stephenson_morrison_1600(tjd);\n\t\t\t} else {\n\t\t\t\t/*\n\t\t\t\t * between 1600 and 1620: linear interpolation between end of\n\t\t\t\t * table dt2 and start of table dt\n\t\t\t\t */\n\t\t\t\tif (Y >= TAB2_END) {\n\t\t\t\t\tB = TABSTART - TAB2_END;\n\t\t\t\t\tiy = (TAB2_END - TAB2_START) / TAB2_STEP;\n\t\t\t\t\tdd = (Y - TAB2_END) / B;\n\t\t\t\t\t/* ans = dt2[iy] + dd * (dt[0] / 100.0 - dt2[iy]); */\n\t\t\t\t\tans = dt2[iy] + dd * (dt[0] - dt2[iy]);\n\t\t\t\t\tans = adjust_for_tidacc(ans, Ygreg);\n\t\t\t\t\treturn ans / 86400.0;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t/*\n\t\t * 1620 - today + a few years (tabend): Besselian interpolation from\n\t\t * tabulated values in table dt. See AA page K11.\n\t\t */\n\t\tif (Y >= TABSTART) {\n\t\t\treturn deltat_aa(tjd);\n\t\t}\n\t\treturn ans / 86400.0;\n\t}","public interface ErrorMeasure {\r\n\r\n /**\r\n * Measure the errors for the given output and target\r\n * @param output the output\r\n * @param example the example\r\n * @return the errors\r\n */\r\n public abstract double value(Instance output, Instance example);\r\n\r\n}","public float classError() { return _errors / (float) _rows; }","public double getDelta() {\n return delta;\n }","public short getUnitsPerEm() throws PDFNetException {\n/* 843 */ return GetUnitsPerEm(this.a);\n/* */ }","public double computeError(double expected, double predicted);","public double getDelta() {\r\n return delta;\r\n }","public double getDelta(CompRunData old_run, CompRunData new_run, String label) {\r\n if (old_run.getValue(label) == null)\r\n common.failure(\"can not find label: \" + label);\r\n double old_val = ((Double) old_run.getValue(label)).doubleValue();\r\n double new_val = ((Double) new_run.getValue(label)).doubleValue();\r\n double delta = old_val - new_val;\r\n\r\n /* For response time of course less is good, not bad: */\r\n if (label.equalsIgnoreCase(\"Resp\"))\r\n return delta * 100. / old_val;\r\n else\r\n return delta * 100. / old_val * -1;\r\n\r\n }","@Test\r\n public void testInvalidMinusAssignmentExpressionWithSIUnits1() throws IOException {\n checkError(\"varD_S-=4km\", \"0xA0177\");\r\n }","public void subDif() {\n this.polySubSolve();\n int dd2 = 0, dd3 = 0;\n String d1 = \"\", d2 = \"\", d3 = \"\";\n this.das = 3 * this.asub;\n this.dbs = 2 * this.bsub;\n this.dcs = this.csub;\n if (this.subdegree == 3) {\n d1 = \"dy/dx = \" + this.das + \"x^2 \";\n if (this.bsub == 0) {\n dd2 = 1;\n } else {\n if (this.dbs > 0) {\n d2 = \"+ \" + this.dbs + \"x \";\n } else {\n d2 = \"- \" + -this.dbs + \"x \";\n }\n }\n if (this.csub == 0) {\n dd3 = 1;\n } else {\n if (this.dcs > 0) {\n d3 = \"+ \" + this.dcs;\n } else {\n d3 = \"- \" + -this.dcs;\n }\n }\n if (dd2 == 0 && dd3 == 0) {\n this.subdiff = d1 + d2 + d3;\n }\n if (dd2 == 0 && dd3 == 1) {\n this.subdiff = d1 + d2;\n }\n if (dd2 == 1 && dd3 == 1) {\n this.subdiff = d1;\n }\n if (dd2 == 1 && dd3 == 0) {\n this.subdiff = d1 + d3;\n }\n\n }\n if (this.subdegree == 2) {\n d1 = \"dy/dx = \" + this.dbs + \"x \";\n if (this.dcs == 0) {\n this.subdiff = d1;\n } else {\n if (this.dcs > 0) {\n this.subdiff = d1 + \"+\" + this.dcs;\n } else {\n this.subdiff = d1 + \"-\" + -this.dcs;\n }\n }\n }\n if (this.subdegree == 1) {\n this.subdiff = \"dy/dx = \" + this.csub;\n }\n if (this.subdegree == 0) {\n this.subdiff = \"dy/dx = \" + 0;\n }\n\n }","public Vector2d getErrm() {\n return errm;\n }","public static void calError(Neuron x) {\r\n int error = x.getDesired() - x.getActual();\r\n x.setError(error);\r\n }","private static double calcError(Instances data, Instances data2) {\n\t\t// calculate the total l1 norm of the class values of the two data sets \n\t\tdouble error = 0;\n\t\tfor (int i=0; i < data.numInstances(); ++i) {\n\t\t\terror += Math.abs(data.instance(i).classValue() - data2.instance(i).classValue());\t\t\t\n\t\t}\n\t\treturn error;\n\t}","int getDelta();","final double measureErrorSq(final double[] ox, final double[] oy, final double[] oz) {\n \t\t\tdouble error = 0;\n \t\t\tfor (int i=1; i<ox.length -1; i++) {\n \t\t\t\tdouble min_dist = Double.MAX_VALUE;\n \t\t\t\tfor (int j=1; j<px.length; j++) {\n \t\t\t\t\t// distance from a original point to a line defined by two consecutive new points\n \t\t\t\t\tdouble dist = M.distancePointToSegmentSq(ox[i], oy[i], oz[i],\n \t\t\t\t\t\t\t px[j-1], py[j-1], pz[j-1],\n \t\t\t\t\t\t\t\t\t px[j], py[j], pz[j]);\n \t\t\t\t\tif (dist < min_dist) min_dist = dist;\n \t\t\t\t}\n \t\t\t\terror += min_dist;\n \t\t\t}\n \t\t\treturn error;\n \t\t}","public void err2() {\n\t\tString errMessage = CalculatorValue.checkMeasureValue(text_Operand2.getText());\n\t\tif (errMessage != \"\") {\n\t\t\tlabel_errOperand2.setText(CalculatorValue.measuredValueErrorMessage);\n\t\t\tif (CalculatorValue.measuredValueIndexofError <= -1)\n\t\t\t\treturn;\n\t\t\tString input = CalculatorValue.measuredValueInput;\n\t\t\toperand2ErrPart1.setText(input.substring(0, CalculatorValue.measuredValueIndexofError));\n\t\t\toperand2ErrPart2.setText(\"\\u21EB\");\n\t\t}\n\t}","public double calculateExpectedDisagreement();","double getInfoLoss(InputRecord record) {\n return Math.abs(anonymisedValue - record.getRawValue());\n }","public void calculateError() {\n double sum = 0;\n\n for (ErrorNeuron neuron : frontNeurons) {\n sum += neuron.error * neuron.neuron.getWeights()[index];\n }\n\n error = neuron.getTransferFunction().derivative(neuron.getRawOutput()) * sum;\n }","public static float calculateErrorOnValidationSet(MultiLayerPerceptron mlp) {\n float error=0.0f;\n float errorOnJthSample;\n for(int j = 0; j < validationSet.getTests().size(); j++){\n ArrayList<Float> actualOutput = mlp.calculateOutput(trainingSet.getInput(j));\n ArrayList<Float> expectedOutput = trainingSet.getOutput(j);\n for(int k = 0; k < actualOutput.size();k++){\n errorOnJthSample= Math.abs(expectedOutput.get(k) - actualOutput.get(k));\n error+=errorOnJthSample*errorOnJthSample;\n }\n }\n return error;\n }","public float calculTauxErreurBinaire() {\n \n \tint nbElementsEmis = source.getInformationEmise().nbElements() ;\n int nbBitsFaux = 0 ;\n \tint i ;\n \tfor(i=0;i<nbElementsEmis;i++){\n \t\tif(source.getInformationEmise().iemeElement(i) != destination.getInformationRecue().iemeElement(i)){\n \t\t\tnbBitsFaux++ ;\n \t\t}\t\n \t}\n \t\t\n \tif(nbBitsFaux != 0)\t\n return (float)nbElementsEmis/(float)nbBitsFaux;\n \telse\n \t\treturn 0.0f ;\n }","public java.lang.String getPosErrDisc () {\r\n\t\treturn posErrDisc;\r\n\t}","public double getCurrentPercentageError() {\n\t\tdouble returnValue = 0.0;\n\t\tint currentValue = this.readSensorValue();\n\t\tint optimum = getOptimumSensorValue(currentValue);\n\t\tif (currentValue > optimum) {\n\t\t\treturnValue = (double) (currentValue - optimum)\n\t\t\t\t\t/ (double) (this.highReadInValue - optimum);\n\t\t} else if (currentValue < optimum) {\n\t\t\treturnValue = -((double) (optimum - currentValue) / (double) (optimum - this.lowReadInValue));\n\t\t}\n\t\treturn returnValue;\n\t}","static public double defaultRelativeError () { throw new RuntimeException(); }","private static void assertEquals(double expected, double actual, double delta) {\n if (Math.abs(actual - expected) >= delta) {\n System.err.println(\"Test Failure! Expected: \" + expected + \", actual: \" + actual);\n doesPass = false;\n (new Exception()).printStackTrace(); // trick to show stack trace to identify failure\n }\n }","@Test\r\n public void testInvalidMinusAssignmentExpressionWithSIUnits2() throws IOException {\n checkError(\"varS-=4km\", \"0xA0177\");\r\n }","public double getWDMeasure() {\n int na = _eigval.length;\n double lambda0 = _eigval[0][0];\n double lambda1 = _eigval[1][1];\n double lambdan = _eigval[na-1][na-1];\n double l0n = lambda0/lambdan;\n double l1n = lambda1/lambdan;\n double eps1 = Math.ulp(1.0);\n System.out.println(\"lambda0/lambdan = \"+l0n);\n System.out.println(\"lambda1/lambdan = \"+l1n);\n return (l1n-l0n)/eps1;\n }","private double calculateErrors(Instance instance, Hashtable<NeuralNode, Double> nodeValues) throws Exception {\r\n\t\tdouble ret = 0;\r\n\t\t\r\n\t\t// calculate errors for the network\r\n\t\tfor (InputNode input : inputs) {\r\n\t\t\tinput.getError(instance, nodeValues);\r\n\t\t}\r\n\t\t\r\n\t\tfor (OutputNode output : outputs) {\r\n\t\t\tdouble error = output.getError(instance, nodeValues);\r\n\t\t\tret += error * error;\r\n\t\t}\r\n\t\treturn ret;\r\n\r\n\t}","public double getOutput()\n {\n //\n // Read from input device without holding a lock on this object, since this could\n // be a long-running call.\n //\n final double currentInputValue = pidInput.get();\n\n synchronized (this)\n {\n final String funcName = \"getOutput\";\n\n if (debugEnabled)\n {\n dbgTrace.traceEnter(funcName, TrcDbgTrace.TraceLevel.API);\n }\n\n double prevError = currError;\n double currTime = TrcUtil.getCurrentTime();\n double deltaTime = currTime - prevTime;\n prevTime = currTime;\n currInput = currentInputValue;\n currError = setPoint - currInput;\n if (inverted)\n {\n currError = -currError;\n }\n\n if (pidCoefficients.kI != 0.0)\n {\n //\n // Make sure the total error doesn't get wound up too much exceeding maxOutput.\n //\n double potentialGain = (totalError + currError * deltaTime) * pidCoefficients.kI;\n if (potentialGain >= maxOutput)\n {\n totalError = maxOutput / pidCoefficients.kI;\n }\n else if (potentialGain > minOutput)\n {\n totalError += currError * deltaTime;\n }\n else\n {\n totalError = minOutput / pidCoefficients.kI;\n }\n }\n\n pTerm = pidCoefficients.kP * currError;\n iTerm = pidCoefficients.kI * totalError;\n dTerm = deltaTime > 0.0 ? pidCoefficients.kD * (currError - prevError) / deltaTime : 0.0;\n fTerm = pidCoefficients.kF * setPoint;\n double lastOutput = output;\n output = pTerm + iTerm + dTerm + fTerm;\n\n output = TrcUtil.clipRange(output, minOutput, maxOutput);\n\n if (rampRate != null)\n {\n if (prevOutputTime != 0.0)\n {\n double dt = currTime - prevOutputTime;\n double maxChange = rampRate * dt;\n double change = output - lastOutput;\n change = TrcUtil.clipRange(change, -maxChange, maxChange);\n output = lastOutput + change;\n }\n prevOutputTime = currTime;\n }\n\n if (debugTracer != null)\n {\n printPidInfo(debugTracer);\n }\n\n if (debugEnabled)\n {\n dbgTrace.traceExit(funcName, TrcDbgTrace.TraceLevel.API, \"=%f\", output);\n }\n\n return output;\n }\n }","int getDelta() {\n return delta;\n }","public double GetStandardDev();","private String errors() {\n\t\tStringBuilder sb = new StringBuilder();\n\t\tsb.append(impossibleLapTime());\n\t\tsb.append(multipleStartTimes());\n\t\treturn sb.toString();\n\t}","private void err3() {\n\t\tString errMessage = CalculatorValue.checkMeasureValue(text_Operand3.getText());\n\t\tif (errMessage != \"\") {\n\t\t\t// System.out.println(errMessage);\n\t\t\tlabel_errOperand3.setText(CalculatorValue.measuredValueErrorMessage);\n\t\t\tif (CalculatorValue.measuredValueIndexofError <= -1)\n\t\t\t\treturn;\n\t\t\tString input = CalculatorValue.measuredValueInput;\n\t\t\toperand3ErrPart1.setText(input.substring(0, CalculatorValue.measuredValueIndexofError));\n\t\t\toperand3ErrPart2.setText(\"\\u21EB\");\n\t\t} else {\n\t\t\terrMessage = CalculatorValue.checkErrorTerm(text_Operand3.getText());\n\t\t\tif (errMessage != \"\") {\n\t\t\t\t// System.out.println(errMessage);\n\t\t\t\tlabel_errOperand3.setText(CalculatorValue.errorTermErrorMessage);\n\t\t\t\tString input = CalculatorValue.errorTermInput;\n\t\t\t\tif (CalculatorValue.errorTermIndexofError <= -1)\n\t\t\t\t\treturn;\n\t\t\t\toperand3ErrPart1.setText(input.substring(0, CalculatorValue.errorTermIndexofError));\n\t\t\t\toperand3ErrPart2.setText(\"\\u21EB\");\n\t\t\t}\n\t\t}\n\t}","private void updateOutputLayerErrors(Vector errorVector) {\r\n\t\tList<Neuron> neurons = getNetwork().getOutputLayer().getNeurons();\r\n\t\tfor (int i = 0; i < neurons.size(); i++) {\r\n\t\t\tNeuron neuron = neurons.get(i);\r\n\t\t\tdouble outputError = errorVector.get(i);\r\n\t\t\tupdateOutputLayerErrors(outputError, neuron);\r\n\t\t}\r\n\t}","public void calculate()\n\t{\n\t\tString sourceUnitType = (String)this.sourceUnit.getChoice(this.sourceUnit.getSelectedIndex());\n\t\tString destUnitType = (String)this.destUnit.getChoice(this.destUnit.getSelectedIndex());\n\t\t\n\t\tdouble sourceUnitMultiplier = LengthUnits.getMultiplier(sourceUnitType);\n\t\tdouble destUnitMultiplier = LengthUnits.getMultiplier(destUnitType);\n\t\t\n\t\tdouble units = Integer.parseInt(this.input.getText());\n\t\t\n\t\tthis.outputLabel.setText(String.valueOf((units * (1 / sourceUnitMultiplier)) * destUnitMultiplier));\n\t}","public static double diff() {\n System.out.println(\"Enter minuend\");\n double a = getNumber();\n System.out.println(\"Enter subtrahend\");\n double b = getNumber();\n\n return a - b;\n }","public int getDeltaT() {\n return deltaT;\n }","public void reviseMotorSpeed() {\n\t\tmHandler.removeMessages(EVAL_MOTOR_SPEED);\n\t\tlong starttime = System.currentTimeMillis();\n\n\t\t//Retrieve current orientation.\t\t\n\t\t\n\t\tmAzimuth = mStatus.getReadingField(AZIMUTH);\t\t\n\t\tmPitchDeg = mStatus.getReadingField(PITCH);\n\t\tmRollDeg = -mStatus.getReadingField(ROLL);\n\t\t\n\t\tdouble[] errors = new double[4];\n\t\tsynchronized (mAngleTarget) {\n\t\t\t//logArray(\"mAngleTarget\", mAngleTarget);\n\t\t\terrors[0] = mAngleTarget[0] - mRollDeg;\n\t\t\terrors[1] = mAngleTarget[1] - mPitchDeg;\n\t\t\terrors[2] = mAngleTarget[2] - mStatus.getGpsField(dALT);\n\t\t\terrors[3] = mAngleTarget[3] - mAzimuth;\n\t\t\t//logArray(\"errors\", errors);\n\t\t}\n\t\t\n\t\t@SuppressWarnings(\"unused\")\n\t\tString errs = \"errors: \";\n\t\tfor (int i = 0; i < 4; i++) {\n\t\t\terrs += errors[i] + \": \";\n\t\t}\n\t\t//Log.v(TAG, errs);\n\t\t//For azimuth, multiple possibilities exist for error, each equally valid; but only the error nearest zero makes practical sense.\n\t\tif (errors[3] > 180.0)\n\t\t\terrors[3] -= 360.0;\n\t\tif (errors[3] < -180.0)\n\t\t\terrors[3] += 360.0;\n\t\t\n\t\t\n\t\tfor (int i = 0; i < 4; i++) {\n\t\t\t//Calculate proportional errors\n\t\t\tdouble err = errors[i];//mTarget[i] - mCurrent[i];\n\t\t\t\n\n\t\t\t//Calculate derivative errors.\n\t\t\tlong timeInterval = starttime - mLastUpdate;\n\t\t\tif (timeInterval != 0) {\n\t\t\t\tmErrors[i][2] = (err - mErrors[i][0]) * 1000.0 / timeInterval;\n\t\t\t} else {\n\t\t\t\tmErrors[i][2] = 0.0;\n\t\t\t}\n\t\t\t\n\t\t\t\n\t\t\t//Mark proportional error\n\t\t\tmErrors[i][0] = err;\n\t\t\t/*if (i == 2)\n\t\t\t\tLog.v(TAG, \"guid, dalt err is \" + err);*/\n\t\t\t//Update integral errors\n\t\t\tmErrors[i][1] -= mIntegralErrors[i][mIntegralIndex];\n\t\t\tmIntegralErrors[i][mIntegralIndex] = err;\n\t\t\tmErrors[i][1] += err;\n\t\t\tmIntegralIndex = ++mIntegralIndex % PIDREPS;\n\t\t\t\n\t\t\t//Calculate changes in output\n\t\t\tfor (int j = 0; j < 3; j++) {\n\t\t\t\tmControlVars[i] += mErrors[i][j] * mGain[i][j];\n\t\t\t}\n\t\t}\n\t\tif (mGuidanceMode.get() == MANUAL) {\n\t\t\tsynchronized (mAngleTarget) {\n\t\t\t\tmControlVars[2] = mAngleTarget[2];\n\t\t\t}\n\t\t}\n\t\tmLastUpdate = starttime;\n\t\t\n\t\t// Constrain control vars:\n\t\tmControlVars[0] = constrainValue(mControlVars[0], -1, 1);\n\t\tmControlVars[1] = constrainValue(mControlVars[1], -1, 1);\n\t\tmControlVars[2] = constrainValue(mControlVars[2], 0, 1);\n\t\tmControlVars[3] = constrainValue(mControlVars[3], -2, 2);\n\t\t\n\t\t/*String vars = \"Control vars: \";\n\t\tfor (int i = 0; i < 4; i++) {\n\t\t\tvars += mControlVars[i] + \": \";\n\t\t}\n\t\tLog.v(TAG, vars);*/\n\t\t\n\t\tcontrolVarsToMotorSpeeds();\n\t\t\n\t\t//Send motor values to motors here:\n\t\tupdateMotors();\n\t\tupdateAngleTarget();\n\t\t//Log.v(TAG, \"motors: \" + mMotorSpeed[0] + \", \" + mMotorSpeed[1] + \", \" + mMotorSpeed[2] + \", \" + mMotorSpeed[3]);\n\t\t//Sleep a while\n\t\tlong timetonext = (1000 / PIDREPS) - (System.currentTimeMillis() - starttime);\n\t\t//Log.v(TAG, \"time to next: \" + timetonext);\n\t\tint currentMode = mGuidanceMode.get();\n\t\tif ((currentMode == MANUAL) || (currentMode == AUTOPILOT)) {\n\t\t\tif (timetonext > 0)\n\t\t\t\tmHandler.sendEmptyMessageDelayed(EVAL_MOTOR_SPEED, timetonext);\n\t\t\telse {\n\t\t\t\tLog.e(TAG, \"Guidance too slow\");\n\t\t\t\tmHandler.sendEmptyMessage(EVAL_MOTOR_SPEED);\n\t\t\t}\n\t\t}\n\t}","public Double getError (long time)\n {\n if (this.state == null)\n return null;\n\n return (this.state.getError());\n }","public double getDeltaT() {\n\t\tif (deltatIsValid) {\n\t\t\treturn this.deltaT;\n\t\t}\n\t\tthis.deltaT = calc_deltaT(this.getJulDay());\n\t\tdeltatIsValid = true;\n\t\treturn this.deltaT;\n\t}","public int getDelta() {\n return delta_;\n }","@DSGenerator(tool_name = \"Doppelganger\", tool_version = \"2.0\", generated_on = \"2013-12-30 12:58:16.376 -0500\", hash_original_method = \"30167F0B844356CC78AEA2C709085F0A\", hash_generated_method = \"97001DA94BF07311688B46B6470E11E5\")\n \n public int eglGetError(){\n \treturn getTaintInt();\n }","public double toDelta() {\n return ((double)(_secs)) + _fracDouble;\n }","public Delta unitized() {\n // TODO(jasonpr): Check that is diagonal or is basic.\n // This will require some refactoring, since currently\n // isDiagonal and isBasic are methods of Move.\n int length = Math.max(Math.abs(deltaFile), Math.abs(deltaRank));\n return new Delta(deltaFile / length, deltaRank / length);\n }","@Override\n\tprotected long getUpdatedUnits(long units) {\n\t\treturn units;\n\t}","public void calcOutput()\n\t{\n\t}","private void incrementErrors() {\n totalErrors++;\n totalTunitErrors++;\n }","public double getDriftUncertaintyInNsPerSec() {\n /*\n // Can't load method instructions: Load method exception: bogus opcode: 00e4 in method: android.location.GpsClock.getDriftUncertaintyInNsPerSec():double, dex: \n */\n throw new UnsupportedOperationException(\"Method not decompiled: android.location.GpsClock.getDriftUncertaintyInNsPerSec():double\");\n }","private double getErrorSquare(DataObject o1, DataObject o2) {\n\t\treturn getDistance(o1, o2);\n\t}","private double calcErrForNeighbour(GNode node) {\n return 0.0;\n }","public java.lang.String getErrDisc () {\r\n\t\treturn errDisc;\r\n\t}","private void calculateDelta() {\n // 60 fps <=> delta ~ 0.016f\n //\n long curTime = SystemClock.elapsedRealtimeNanos();\n delta = (curTime - lastTime) / 1_000_000_000.0f;\n lastTime = curTime;\n }","public double getMaximumPositionErrorInArcsec ( ) {\r\n\t\treturn 5.0;\r\n\t}","public double getMaximumPositionErrorInArcsec ( ) {\r\n\t\treturn 5.0;\r\n\t}","java.lang.String getError();","java.lang.String getError();","java.lang.String getError();","private String getExpectedXMLOutput() {\r\n\t\tStringBuffer xml = new StringBuffer();\r\n\t\txml.append(\"<ddms:verticalExtent \").append(getXmlnsDDMS()).append(\" \");\r\n\t\txml.append(\"ddms:unitOfMeasure=\\\"\").append(TEST_UOM).append(\"\\\" \");\r\n\t\txml.append(\"ddms:datum=\\\"\").append(TEST_DATUM).append(\"\\\">\\n\\t\");\r\n\t\txml.append(\"<ddms:\").append(getTestMinVerticalExtentName()).append(\">\").append(TEST_MIN);\r\n\t\txml.append(\"</ddms:\").append(getTestMinVerticalExtentName()).append(\">\\n\\t\");\r\n\t\txml.append(\"<ddms:\").append(getTestMaxVerticalExtentName()).append(\">\").append(TEST_MAX);\r\n\t\txml.append(\"</ddms:\").append(getTestMaxVerticalExtentName()).append(\">\\n\");\r\n\t\txml.append(\"</ddms:verticalExtent>\");\r\n\t\treturn (xml.toString());\r\n\t}","public abstract double toBasicUnit(double unit);","private int computeQuantizationError(int oldPixel, int newPixel) {\n int oldRed, oldGreen, oldBlue, oldAlpha,\n newRed, newGreen, newBlue, newAlpha;\n\n oldRed = Color.red(oldPixel);\n oldGreen = Color.green(oldPixel);\n oldBlue = Color.blue(oldPixel);\n oldAlpha = Color.alpha(oldPixel);\n\n newRed = Color.red(newPixel);\n newGreen = Color.green(newPixel);\n newBlue = Color.blue(newPixel);\n newAlpha = Color.alpha(newPixel);\n\n return Color.argb(newAlpha, oldRed - newRed, oldGreen - newGreen, oldBlue - newBlue);\n }","void calculateError(List<Neuron> connectedNeurons) {\n double weightedErrorSum = 0.0;\n Iterator<Neuron> iter = connectedNeurons.iterator();\n while(iter.hasNext()) {\n Neuron neuron = iter.next();\n weightedErrorSum += neuron.error * neuron.output;\n }\n this.error = this.getOutput()*(1-this.getOutput())*weightedErrorSum;\n }","@Test\n public void testCalculateNominationCuantity2() throws FileNotFoundException {\n System.out.println(\"testCalculateNominationCuantity 2\");\n double expResult = 125.0;\n double result = calc.getChange(124d, calc.calculateDenominationCuantity(124d));\n assertEquals(expResult, result);\n }","public int getOlddeltaT() {\n return olddeltaT;\n }","@Override\n\tpublic void adjustToError() {\n\t\t\n\t}","private void updateDelta() {\r\n // Convert registers to calendar\r\n Calendar c = getCalendarFromRegisters();\r\n\r\n // delta = calendar - elapsed\r\n deltaMs = c.getTimeInMillis() - platform.getMasterClock().getTotalElapsedTimePs() / MasterClock.PS_PER_MS;\r\n }","public static void main(String[] args) {\n Scanner s = new Scanner(System.in);\n double x = s.nextDouble();\n double y = s.nextDouble();\n double a = s.nextDouble();\n double b = s.nextDouble();\n \n DecimalFormat df = new DecimalFormat(\"#.000000000000\");\n double dp = x*a + y*b;\n double el =Math.sqrt(a*a + b*b);\n //double mel = dp/Double.valueOf(df.format(el*el));\n double mel = dp/(el*el);\n double as = mel*a;\n double bs = mel*b;\n double n = (x-mel*a)/(-1*b);\n //System.out.println(dp + \" \" + el + \" \" + mel + \" \" + as + \" \" + bs + \" \" + n);\n System.out.println(mel);\n System.out.println(n);\n }","int maxOffsetErrors(int parametricState);","private void err4() {\n\t\tString errMessage = CalculatorValue.checkMeasureValue(text_Operand4.getText());\n\t\tif (errMessage != \"\") {\n\t\t\t// System.out.println(errMessage);\n\t\t\tlabel_errOperand4.setText(CalculatorValue.measuredValueErrorMessage);\n\t\t\tif (CalculatorValue.measuredValueIndexofError <= -1)\n\t\t\t\treturn;\n\t\t\tString input = CalculatorValue.measuredValueInput;\n\t\t\toperand4ErrPart1.setText(input.substring(0, CalculatorValue.measuredValueIndexofError));\n\t\t\toperand4ErrPart2.setText(\"\\u21EB\");\n\t\t} else {\n\t\t\terrMessage = CalculatorValue.checkErrorTerm(text_Operand4.getText());\n\t\t\tif (errMessage != \"\") {\n\t\t\t\t// System.out.println(errMessage);\n\t\t\t\tlabel_errOperand4.setText(CalculatorValue.errorTermErrorMessage);\n\t\t\t\tString input = CalculatorValue.errorTermInput;\n\t\t\t\tif (CalculatorValue.errorTermIndexofError <= -1)\n\t\t\t\t\treturn;\n\t\t\t\toperand4ErrPart1.setText(input.substring(0, CalculatorValue.errorTermIndexofError));\n\t\t\t\toperand4ErrPart2.setText(\"\\u21EB\");\n\t\t\t}\n\t\t}\n\t}","public void polyDiff() {\n this.polySolve();\n int dd2 = 0, dd3 = 0;\n String d1 = \"\", d2 = \"\", d3 = \"\";\n this.da = 3 * this.a;\n this.db = 2 * this.b;\n this.dc = this.c;\n if (this.degree == 3) {\n d1 = \"dy/dx = \" + this.da + \"x^2 \";\n if (this.b == 0) {\n dd2 = 1;\n } else {\n if (this.db > 0) {\n d2 = \"+ \" + this.db + \"x \";\n } else {\n d2 = \"- \" + -this.db + \"x \";\n }\n }\n if (this.c == 0) {\n dd3 = 1;\n } else {\n if (this.dc > 0) {\n d3 = \"+ \" + this.dc;\n } else {\n d3 = \"- \" + -this.dc;\n }\n }\n if (dd2 == 0 && dd3 == 0) {\n this.diff = d1 + d2 + d3;\n }\n if (dd2 == 0 && dd3 == 1) {\n this.diff = d1 + d2;\n }\n if (dd2 == 1 && dd3 == 1) {\n this.diff = d1;\n }\n if (dd2 == 1 && dd3 == 0) {\n this.diff = d1 + d3;\n }\n\n }\n if (this.degree == 2) {\n d1 = \"dy/dx = \" + this.db + \"x \";\n if (this.dc == 0) {\n this.diff = d1;\n } else {\n if (this.dc > 0) {\n this.diff = d1 + \"+\" + this.dc;\n } else {\n this.diff = d1 + \"-\" + -this.dc;\n }\n }\n }\n if (this.degree == 1) {\n this.diff = \"dy/dx = \" + this.c;\n }\n if (this.degree == 0) {\n this.diff = \"dy/dx = \" + 0;\n }\n\n }","public int getDelta() {\n return delta_;\n }","java.lang.String getErr();","public double calculateObservedDisagreement();","public static float getDelta() \r\n {\r\n return (currentTime - lastTime) * DAMPING; \r\n }","public double getLastError() {\n return lastError;\n }","float getVoltageStepIncrementOutOfPhase();","public static String convertUnitStr(Unit source_unit, Unit target_unit) \n\tthrows ArithmeticException {\n\t\tdouble f = source_unit.factor/target_unit.factor;\n\t\tdouble ls;\n\t\tif(target_unit.mksa == source_unit.mksa) {\n\t\t\tif((target_unit.mksa&_log)==0){\n\t\t\t\tdouble toAdd = (source_unit.offset-target_unit.offset)/target_unit.factor;\n\t\t\t\treturn f*((source_unit.value!=0.0)?source_unit.value:1.0)+\"*UNIT\"+((toAdd==0.0)?\"\":(toAdd<0.0)?\"\":\"+\"+toAdd);\n\t\t\t}\n\t\t\telse{\t// Convert to log scale: log(km) --> log(m)+log(k)\n\t\t\t\tif((source_unit.offset!=0)||(target_unit.offset!=0)){\n\t\t\t\t\tthrow new ArithmeticException(\"****Unit: can't convert non-standard unit \" + source_unit.symbol + \" into \" + target_unit.symbol);\n\t\t\t\t}\n\t\t\t\tf = AstroMath.log(f);\n\t\t\t\tif ((target_unit.mksa&_mag) != 0) f = -2.5*f;\n\t\t\t\treturn ((source_unit.value!=0.0)?source_unit.value+\"*\":\"\")+\"UNIT\"+((f<0.0)?\"\":\"+\")+f;\n\t\t\t}\n\t\t}\n\t\tif((target_unit.mksa&(~_LOG))!=(source_unit.mksa&(~_LOG))){\t\n\t\t\tthrow new ArithmeticException(\"****Unit: can't convert \" + source_unit.symbol + \" into \" + target_unit.symbol);\n\t\t}\n\t\t/* Convert to / from Log scale */\n\t\tif ((target_unit.mksa&_log)==0) {\t\t// Remove the log\n\t\t\tls = (source_unit.mksa&_mag)!=0?-2.5:1.;\n\t\t\treturn (source_unit.mksa&_mag)!=0?\n\t\t\t\t\tf+\"*exp(-(UNIT*\"+((source_unit.value!=0.0)?source_unit.value:1.0)*AstroMath.ln10+\")/2.5)\"\n\t\t\t\t\t:f+\"*exp(UNIT*\"+((source_unit.value!=0.0)?source_unit.value:1.0)*AstroMath.ln10+\")\";\n\t\t}\n\t\t/* The target is a log. Check whether the source is also in log scale */\n\t\tif ((source_unit.mksa&_log) != 0) {\t// Convert from log to log\n\t\t\tString toReturn = (source_unit.mksa&_mag)!=0?-0.4*((source_unit.value!=0.0)?source_unit.value:1.0)+\"*UNIT\":((source_unit.value!=0.0)?source_unit.value+\"*\":\"\")+\"UNIT\";\n\t\t\ttoReturn += AstroMath.log(f); // Target assumed to be log\n\t\t\tif((target_unit.mksa&_mag)!=0) return \"-2.5*(\"+toReturn+\")\";\t// Target is a magnitude\n\t\t\treturn toReturn;\n\t\t}\n\t\t/* The target is a log, the source is in a linear scale. */\n\t\tls = (target_unit.mksa&_mag)!=0?-2.5:1.;\n\t\treturn ls+\"*log(\"+(f*((source_unit.value!=0.0)?source_unit.value:1.0))+\"*UNIT)\";\n\t}","private String getExpectedHTMLTextOutput(OutputFormat format) throws InvalidDDMSException {\r\n\t\tUtil.requireHTMLText(format);\r\n\t\tStringBuffer text = new StringBuffer();\r\n\t\ttext.append(buildHTMLTextOutput(format, \"verticalExtent.unitOfMeasure\", String.valueOf(TEST_UOM)));\r\n\t\ttext.append(buildHTMLTextOutput(format, \"verticalExtent.datum\", String.valueOf(TEST_DATUM)));\r\n\t\ttext.append(buildHTMLTextOutput(format, \"verticalExtent.minimum\", String.valueOf(TEST_MIN)));\r\n\t\ttext.append(buildHTMLTextOutput(format, \"verticalExtent.maximum\", String.valueOf(TEST_MAX)));\r\n\t\treturn (text.toString());\r\n\t}","public BigDecimal getMatchPODifference()\n\t{\n\t\tif (isDescription())\n\t\t\treturn Env.ZERO;\n\t\tBigDecimal retValue = getMovementQty();\n\t\tMMatchPO[] po = getMatchPO();\n\t\tfor (MMatchPO matchPO : po) {\n\t\t\tretValue = retValue.subtract (matchPO.getQty());\n\t\t}\n\t\tlog.finer(\"#\" + retValue);\n\t\treturn retValue;\n\t}","public float getDelta() {\n\t\treturn delta;\n\t}","@Test(timeout = 4000)\n public void test05() throws Throwable {\n String string0 = EWrapperMsgGenerator.tickOptionComputation(98, (-2146523664), 1.0, 0.0, 98, 568.38);\n assertEquals(\"id=98 unknown: vol = 1.0 delta = 0.0\", string0);\n }","double getDeltaScore();","private static Vector3f[] calculatePositionDifferences(Drone drone, Vector3f[] newVelocities, float dt) {\r\n\r\n\t\t\r\n\t\t// calculate the average linear velocity\r\n\t\tVector3f avgLinearVelocityW = average(drone.getLinearVelocity(), newVelocities[0]);\r\n\r\n\t\t// calculate the translation\r\n\t\tVector3f deltaPositionW = (Vector3f) avgLinearVelocityW.scale(dt);\r\n\r\n\t\t// calculate the average angular velocity\r\n\t\tVector3f avgAngularVelocityW = average(drone.getAngularVelocity(), newVelocities[1]);\r\n\r\n\t\t// calculate the rotation\r\n\t\tVector3f deltarotationW = ((Vector3f) avgAngularVelocityW.scale(dt));\r\n\r\n\t\treturn new Vector3f[] { deltaPositionW, deltarotationW };\r\n\t}","private long getPTSUs() {\n long result = System.nanoTime() / 1000L;\n if (result < prevOutputPTSUs)\n result = (prevOutputPTSUs - result) + result;\n return result;\n }"],"string":"[\n \"private double calculateError(double[] outputsActual, double[] outputsTarget) {\\n return Utilities.calculateError(outputsActual, outputsTarget);\\n }\",\n \"private double computeError(){\\n double temp = 0;\\r\\n for(int trial_Number = 0; trial_Number < expectedOutputList.length; trial_Number++){\\r\\n for(int index = 0; index< expectedOutputList[trial_Number].length; index++){\\r\\n double difference = expectedOutputList[trial_Number][index] - this.getOutput()[index];\\r\\n double error = difference*difference;\\r\\n temp += error;\\r\\n }\\r\\n }\\r\\n return temp;\\r\\n }\",\n \"OutputDeviation createOutputDeviation();\",\n \"public void calculateError(double expected) {\\n error = neuron.getTransferFunction().derivative(neuron.getRawOutput()) * (expected - neuron.getOutput());\\n }\",\n \"void calculateError(double targetValue) {\\n this.error = this.getOutput()*(1-this.getOutput())*(this.getOutput()-targetValue);\\n }\",\n \"public void calcError(double[] idealOutput){\\n for (int i = 0; i < getNeuronCount(); i++) {\\n setError(i, idealOutput[i] - fire[i]);\\n setErrorDelta(i, bound(calculateDelta(i)));\\n }\\n\\n }\",\n \"@Override\\n\\tpublic void calculateError() {\\n\\t\\t\\n\\t}\",\n \"public double getError(int dataCase){//target - outputOfNet\\n\\t\\treturn data[dataCase][1][0] - outputs[1][0];\\n\\t}\",\n \"private double[][] delta(double[][] error, double[][] layer) {\\n\\t\\tdouble[][] delta = new double[error.length][error[0].length];\\n\\t\\tfor (int j = 0; j < error.length; j++) {\\n\\t\\t\\tfor (int k = 0; k < error[0].length; k++) {\\n\\t\\t\\t\\tdelta[j][k] = error[j][k] * (layer[j][k] * (1.0 - layer[j][k]));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn delta;\\n\\t}\",\n \"private void calculateError() {\\n this.error = this.elementCount - this.strippedPartition.size64();\\n }\",\n \"WorldUps.UErr getError(int index);\",\n \"public double getError(double desiredHeading) {\\n return desiredHeading - getHeading();\\n }\",\n \"public double GetTimeError(){\\n\\t\\treturn this.timeError;\\n\\t}\",\n \"@DISPID(126)\\r\\n\\t// = 0x7e. The runtime will prefer the VTID if present\\r\\n\\t@VTID(121)\\r\\n\\tasci.activebatch.IAbatTimeSpan expectedDelta();\",\n \"@Test\\n public void testDelta() throws Exception\\n {\\n Cluster cluster = CacheFactory.ensureCluster();\\n\\n DeltaData[] aData = configDelta(cluster);\\n\\n String outputDir = m_temporaryFolder.newFolder().getCanonicalPath();\\n \\n String sReport = \\\"unit-test-delta.xml\\\";\\n String sOutput = outputDir + File.separator + \\\"unit-test-delta.txt\\\";\\n String sValidate = \\\"./unit-test-delta-base.txt\\\";\\n String sError = \\\"Incorrect Delta calculations\\\";\\n\\n deleteFile(sOutput);\\n\\n Reporter reporter = new Reporter();\\n reporter.run(sReport, outputDir + File.separator, 1, null);\\n\\n updateData(aData);\\n\\n reporter.run(sReport, outputDir + File.separator, 2, null);\\n\\n updateData(aData);\\n\\n reporter.run(sReport, outputDir + File.separator, 3, null);\\n\\n assertTrue(sError, compareFiles(sOutput, sValidate));\\n }\",\n \"public synchronized double getError()\\n {\\n final String funcName = \\\"getError\\\";\\n\\n if (debugEnabled)\\n {\\n dbgTrace.traceEnter(funcName, TrcDbgTrace.TraceLevel.API);\\n dbgTrace.traceExit(funcName, TrcDbgTrace.TraceLevel.API, \\\"=%f\\\", currError);\\n }\\n\\n return currError;\\n }\",\n \"public static double getDelta()\\n\\t{\\n\\t\\treturn delta;\\n\\t}\",\n \"private double[] outputDifferences(double[] n) throws Exception {\\n\\t\\tif (n.length != this.expectedOutputs.length) throw new Exception(\\\"ERROR: Training data incompatible with network (expected size: \\\" + n.length + \\\", got: \\\" + this.expectedOutputs.length + \\\")\\\");\\n\\t\\telse {\\n\\t\\t\\tdouble[] dif = new double[n.length];\\n\\t\\t\\t\\n\\t\\t\\tfor (int i = 0; i < n.length; i ++) {\\n\\t\\t\\t\\tdif[i] = this.expectedOutputs[i] - n[i];\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\treturn dif;\\n\\t\\t}\\n\\t}\",\n \"private static synchronized double calc_deltaT(double tjd) {\\n\\t\\tdouble ans = 0;\\n\\t\\tdouble B, Y, Ygreg, dd;\\n\\t\\tint iy;\\n\\t\\tint deltat_model = sw.swed.astro_models[SweConst.SE_MODEL_DELTAT];\\n\\t\\tif (deltat_model == 0)\\n\\t\\t\\tdeltat_model = SweConst.SEMOD_DELTAT_DEFAULT;\\n\\t\\t/* read additional values from swedelta.txt */\\n\\t\\t/* AS_BOOL use_espenak_meeus = DELTAT_ESPENAK_MEEUS_2006; */\\n\\t\\tY = 2000.0 + (tjd - SwephData.J2000) / 365.25;\\n\\t\\tYgreg = 2000.0 + (tjd - SwephData.J2000) / 365.2425;\\n\\t\\t/*\\n\\t\\t * Before 1633 AD, if the macro DELTAT_ESPENAK_MEEUS_2006 is TRUE:\\n\\t\\t * Polynomials by Espenak & Meeus 2006, derived from Stephenson &\\n\\t\\t * Morrison 2004. Note, Espenak & Meeus use their formulae only from\\n\\t\\t * 2000 BC on. However, they use the long-term formula of Morrison &\\n\\t\\t * Stephenson, which can be used even for the remoter past.\\n\\t\\t */\\n\\t\\t/* if (use_espenak_meeus && tjd < 2317746.13090277789) { */\\n\\t\\tif (deltat_model == SweConst.SEMOD_DELTAT_ESPENAK_MEEUS_2006 && tjd < 2317746.13090277789) {\\n\\t\\t\\treturn deltat_espenak_meeus_1620(tjd);\\n\\t\\t}\\n\\t\\t/*\\n\\t\\t * If the macro DELTAT_ESPENAK_MEEUS_2006 is FALSE: Before 1620, we\\n\\t\\t * follow Stephenson & Morrsion 2004. For the tabulated values 1000 BC\\n\\t\\t * through 1600 AD, we use linear interpolation.\\n\\t\\t */\\n\\t\\tif (Y < TABSTART) {\\n\\t\\t\\tif (Y < TAB2_END) {\\n\\t\\t\\t\\treturn deltat_stephenson_morrison_1600(tjd);\\n\\t\\t\\t} else {\\n\\t\\t\\t\\t/*\\n\\t\\t\\t\\t * between 1600 and 1620: linear interpolation between end of\\n\\t\\t\\t\\t * table dt2 and start of table dt\\n\\t\\t\\t\\t */\\n\\t\\t\\t\\tif (Y >= TAB2_END) {\\n\\t\\t\\t\\t\\tB = TABSTART - TAB2_END;\\n\\t\\t\\t\\t\\tiy = (TAB2_END - TAB2_START) / TAB2_STEP;\\n\\t\\t\\t\\t\\tdd = (Y - TAB2_END) / B;\\n\\t\\t\\t\\t\\t/* ans = dt2[iy] + dd * (dt[0] / 100.0 - dt2[iy]); */\\n\\t\\t\\t\\t\\tans = dt2[iy] + dd * (dt[0] - dt2[iy]);\\n\\t\\t\\t\\t\\tans = adjust_for_tidacc(ans, Ygreg);\\n\\t\\t\\t\\t\\treturn ans / 86400.0;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t/*\\n\\t\\t * 1620 - today + a few years (tabend): Besselian interpolation from\\n\\t\\t * tabulated values in table dt. See AA page K11.\\n\\t\\t */\\n\\t\\tif (Y >= TABSTART) {\\n\\t\\t\\treturn deltat_aa(tjd);\\n\\t\\t}\\n\\t\\treturn ans / 86400.0;\\n\\t}\",\n \"public interface ErrorMeasure {\\r\\n\\r\\n /**\\r\\n * Measure the errors for the given output and target\\r\\n * @param output the output\\r\\n * @param example the example\\r\\n * @return the errors\\r\\n */\\r\\n public abstract double value(Instance output, Instance example);\\r\\n\\r\\n}\",\n \"public float classError() { return _errors / (float) _rows; }\",\n \"public double getDelta() {\\n return delta;\\n }\",\n \"public short getUnitsPerEm() throws PDFNetException {\\n/* 843 */ return GetUnitsPerEm(this.a);\\n/* */ }\",\n \"public double computeError(double expected, double predicted);\",\n \"public double getDelta() {\\r\\n return delta;\\r\\n }\",\n \"public double getDelta(CompRunData old_run, CompRunData new_run, String label) {\\r\\n if (old_run.getValue(label) == null)\\r\\n common.failure(\\\"can not find label: \\\" + label);\\r\\n double old_val = ((Double) old_run.getValue(label)).doubleValue();\\r\\n double new_val = ((Double) new_run.getValue(label)).doubleValue();\\r\\n double delta = old_val - new_val;\\r\\n\\r\\n /* For response time of course less is good, not bad: */\\r\\n if (label.equalsIgnoreCase(\\\"Resp\\\"))\\r\\n return delta * 100. / old_val;\\r\\n else\\r\\n return delta * 100. / old_val * -1;\\r\\n\\r\\n }\",\n \"@Test\\r\\n public void testInvalidMinusAssignmentExpressionWithSIUnits1() throws IOException {\\n checkError(\\\"varD_S-=4km\\\", \\\"0xA0177\\\");\\r\\n }\",\n \"public void subDif() {\\n this.polySubSolve();\\n int dd2 = 0, dd3 = 0;\\n String d1 = \\\"\\\", d2 = \\\"\\\", d3 = \\\"\\\";\\n this.das = 3 * this.asub;\\n this.dbs = 2 * this.bsub;\\n this.dcs = this.csub;\\n if (this.subdegree == 3) {\\n d1 = \\\"dy/dx = \\\" + this.das + \\\"x^2 \\\";\\n if (this.bsub == 0) {\\n dd2 = 1;\\n } else {\\n if (this.dbs > 0) {\\n d2 = \\\"+ \\\" + this.dbs + \\\"x \\\";\\n } else {\\n d2 = \\\"- \\\" + -this.dbs + \\\"x \\\";\\n }\\n }\\n if (this.csub == 0) {\\n dd3 = 1;\\n } else {\\n if (this.dcs > 0) {\\n d3 = \\\"+ \\\" + this.dcs;\\n } else {\\n d3 = \\\"- \\\" + -this.dcs;\\n }\\n }\\n if (dd2 == 0 && dd3 == 0) {\\n this.subdiff = d1 + d2 + d3;\\n }\\n if (dd2 == 0 && dd3 == 1) {\\n this.subdiff = d1 + d2;\\n }\\n if (dd2 == 1 && dd3 == 1) {\\n this.subdiff = d1;\\n }\\n if (dd2 == 1 && dd3 == 0) {\\n this.subdiff = d1 + d3;\\n }\\n\\n }\\n if (this.subdegree == 2) {\\n d1 = \\\"dy/dx = \\\" + this.dbs + \\\"x \\\";\\n if (this.dcs == 0) {\\n this.subdiff = d1;\\n } else {\\n if (this.dcs > 0) {\\n this.subdiff = d1 + \\\"+\\\" + this.dcs;\\n } else {\\n this.subdiff = d1 + \\\"-\\\" + -this.dcs;\\n }\\n }\\n }\\n if (this.subdegree == 1) {\\n this.subdiff = \\\"dy/dx = \\\" + this.csub;\\n }\\n if (this.subdegree == 0) {\\n this.subdiff = \\\"dy/dx = \\\" + 0;\\n }\\n\\n }\",\n \"public Vector2d getErrm() {\\n return errm;\\n }\",\n \"public static void calError(Neuron x) {\\r\\n int error = x.getDesired() - x.getActual();\\r\\n x.setError(error);\\r\\n }\",\n \"private static double calcError(Instances data, Instances data2) {\\n\\t\\t// calculate the total l1 norm of the class values of the two data sets \\n\\t\\tdouble error = 0;\\n\\t\\tfor (int i=0; i < data.numInstances(); ++i) {\\n\\t\\t\\terror += Math.abs(data.instance(i).classValue() - data2.instance(i).classValue());\\t\\t\\t\\n\\t\\t}\\n\\t\\treturn error;\\n\\t}\",\n \"int getDelta();\",\n \"final double measureErrorSq(final double[] ox, final double[] oy, final double[] oz) {\\n \\t\\t\\tdouble error = 0;\\n \\t\\t\\tfor (int i=1; i<ox.length -1; i++) {\\n \\t\\t\\t\\tdouble min_dist = Double.MAX_VALUE;\\n \\t\\t\\t\\tfor (int j=1; j<px.length; j++) {\\n \\t\\t\\t\\t\\t// distance from a original point to a line defined by two consecutive new points\\n \\t\\t\\t\\t\\tdouble dist = M.distancePointToSegmentSq(ox[i], oy[i], oz[i],\\n \\t\\t\\t\\t\\t\\t\\t px[j-1], py[j-1], pz[j-1],\\n \\t\\t\\t\\t\\t\\t\\t\\t\\t px[j], py[j], pz[j]);\\n \\t\\t\\t\\t\\tif (dist < min_dist) min_dist = dist;\\n \\t\\t\\t\\t}\\n \\t\\t\\t\\terror += min_dist;\\n \\t\\t\\t}\\n \\t\\t\\treturn error;\\n \\t\\t}\",\n \"public void err2() {\\n\\t\\tString errMessage = CalculatorValue.checkMeasureValue(text_Operand2.getText());\\n\\t\\tif (errMessage != \\\"\\\") {\\n\\t\\t\\tlabel_errOperand2.setText(CalculatorValue.measuredValueErrorMessage);\\n\\t\\t\\tif (CalculatorValue.measuredValueIndexofError <= -1)\\n\\t\\t\\t\\treturn;\\n\\t\\t\\tString input = CalculatorValue.measuredValueInput;\\n\\t\\t\\toperand2ErrPart1.setText(input.substring(0, CalculatorValue.measuredValueIndexofError));\\n\\t\\t\\toperand2ErrPart2.setText(\\\"\\\\u21EB\\\");\\n\\t\\t}\\n\\t}\",\n \"public double calculateExpectedDisagreement();\",\n \"double getInfoLoss(InputRecord record) {\\n return Math.abs(anonymisedValue - record.getRawValue());\\n }\",\n \"public void calculateError() {\\n double sum = 0;\\n\\n for (ErrorNeuron neuron : frontNeurons) {\\n sum += neuron.error * neuron.neuron.getWeights()[index];\\n }\\n\\n error = neuron.getTransferFunction().derivative(neuron.getRawOutput()) * sum;\\n }\",\n \"public static float calculateErrorOnValidationSet(MultiLayerPerceptron mlp) {\\n float error=0.0f;\\n float errorOnJthSample;\\n for(int j = 0; j < validationSet.getTests().size(); j++){\\n ArrayList<Float> actualOutput = mlp.calculateOutput(trainingSet.getInput(j));\\n ArrayList<Float> expectedOutput = trainingSet.getOutput(j);\\n for(int k = 0; k < actualOutput.size();k++){\\n errorOnJthSample= Math.abs(expectedOutput.get(k) - actualOutput.get(k));\\n error+=errorOnJthSample*errorOnJthSample;\\n }\\n }\\n return error;\\n }\",\n \"public float calculTauxErreurBinaire() {\\n \\n \\tint nbElementsEmis = source.getInformationEmise().nbElements() ;\\n int nbBitsFaux = 0 ;\\n \\tint i ;\\n \\tfor(i=0;i<nbElementsEmis;i++){\\n \\t\\tif(source.getInformationEmise().iemeElement(i) != destination.getInformationRecue().iemeElement(i)){\\n \\t\\t\\tnbBitsFaux++ ;\\n \\t\\t}\\t\\n \\t}\\n \\t\\t\\n \\tif(nbBitsFaux != 0)\\t\\n return (float)nbElementsEmis/(float)nbBitsFaux;\\n \\telse\\n \\t\\treturn 0.0f ;\\n }\",\n \"public java.lang.String getPosErrDisc () {\\r\\n\\t\\treturn posErrDisc;\\r\\n\\t}\",\n \"public double getCurrentPercentageError() {\\n\\t\\tdouble returnValue = 0.0;\\n\\t\\tint currentValue = this.readSensorValue();\\n\\t\\tint optimum = getOptimumSensorValue(currentValue);\\n\\t\\tif (currentValue > optimum) {\\n\\t\\t\\treturnValue = (double) (currentValue - optimum)\\n\\t\\t\\t\\t\\t/ (double) (this.highReadInValue - optimum);\\n\\t\\t} else if (currentValue < optimum) {\\n\\t\\t\\treturnValue = -((double) (optimum - currentValue) / (double) (optimum - this.lowReadInValue));\\n\\t\\t}\\n\\t\\treturn returnValue;\\n\\t}\",\n \"static public double defaultRelativeError () { throw new RuntimeException(); }\",\n \"private static void assertEquals(double expected, double actual, double delta) {\\n if (Math.abs(actual - expected) >= delta) {\\n System.err.println(\\\"Test Failure! Expected: \\\" + expected + \\\", actual: \\\" + actual);\\n doesPass = false;\\n (new Exception()).printStackTrace(); // trick to show stack trace to identify failure\\n }\\n }\",\n \"@Test\\r\\n public void testInvalidMinusAssignmentExpressionWithSIUnits2() throws IOException {\\n checkError(\\\"varS-=4km\\\", \\\"0xA0177\\\");\\r\\n }\",\n \"public double getWDMeasure() {\\n int na = _eigval.length;\\n double lambda0 = _eigval[0][0];\\n double lambda1 = _eigval[1][1];\\n double lambdan = _eigval[na-1][na-1];\\n double l0n = lambda0/lambdan;\\n double l1n = lambda1/lambdan;\\n double eps1 = Math.ulp(1.0);\\n System.out.println(\\\"lambda0/lambdan = \\\"+l0n);\\n System.out.println(\\\"lambda1/lambdan = \\\"+l1n);\\n return (l1n-l0n)/eps1;\\n }\",\n \"private double calculateErrors(Instance instance, Hashtable<NeuralNode, Double> nodeValues) throws Exception {\\r\\n\\t\\tdouble ret = 0;\\r\\n\\t\\t\\r\\n\\t\\t// calculate errors for the network\\r\\n\\t\\tfor (InputNode input : inputs) {\\r\\n\\t\\t\\tinput.getError(instance, nodeValues);\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tfor (OutputNode output : outputs) {\\r\\n\\t\\t\\tdouble error = output.getError(instance, nodeValues);\\r\\n\\t\\t\\tret += error * error;\\r\\n\\t\\t}\\r\\n\\t\\treturn ret;\\r\\n\\r\\n\\t}\",\n \"public double getOutput()\\n {\\n //\\n // Read from input device without holding a lock on this object, since this could\\n // be a long-running call.\\n //\\n final double currentInputValue = pidInput.get();\\n\\n synchronized (this)\\n {\\n final String funcName = \\\"getOutput\\\";\\n\\n if (debugEnabled)\\n {\\n dbgTrace.traceEnter(funcName, TrcDbgTrace.TraceLevel.API);\\n }\\n\\n double prevError = currError;\\n double currTime = TrcUtil.getCurrentTime();\\n double deltaTime = currTime - prevTime;\\n prevTime = currTime;\\n currInput = currentInputValue;\\n currError = setPoint - currInput;\\n if (inverted)\\n {\\n currError = -currError;\\n }\\n\\n if (pidCoefficients.kI != 0.0)\\n {\\n //\\n // Make sure the total error doesn't get wound up too much exceeding maxOutput.\\n //\\n double potentialGain = (totalError + currError * deltaTime) * pidCoefficients.kI;\\n if (potentialGain >= maxOutput)\\n {\\n totalError = maxOutput / pidCoefficients.kI;\\n }\\n else if (potentialGain > minOutput)\\n {\\n totalError += currError * deltaTime;\\n }\\n else\\n {\\n totalError = minOutput / pidCoefficients.kI;\\n }\\n }\\n\\n pTerm = pidCoefficients.kP * currError;\\n iTerm = pidCoefficients.kI * totalError;\\n dTerm = deltaTime > 0.0 ? pidCoefficients.kD * (currError - prevError) / deltaTime : 0.0;\\n fTerm = pidCoefficients.kF * setPoint;\\n double lastOutput = output;\\n output = pTerm + iTerm + dTerm + fTerm;\\n\\n output = TrcUtil.clipRange(output, minOutput, maxOutput);\\n\\n if (rampRate != null)\\n {\\n if (prevOutputTime != 0.0)\\n {\\n double dt = currTime - prevOutputTime;\\n double maxChange = rampRate * dt;\\n double change = output - lastOutput;\\n change = TrcUtil.clipRange(change, -maxChange, maxChange);\\n output = lastOutput + change;\\n }\\n prevOutputTime = currTime;\\n }\\n\\n if (debugTracer != null)\\n {\\n printPidInfo(debugTracer);\\n }\\n\\n if (debugEnabled)\\n {\\n dbgTrace.traceExit(funcName, TrcDbgTrace.TraceLevel.API, \\\"=%f\\\", output);\\n }\\n\\n return output;\\n }\\n }\",\n \"int getDelta() {\\n return delta;\\n }\",\n \"public double GetStandardDev();\",\n \"private String errors() {\\n\\t\\tStringBuilder sb = new StringBuilder();\\n\\t\\tsb.append(impossibleLapTime());\\n\\t\\tsb.append(multipleStartTimes());\\n\\t\\treturn sb.toString();\\n\\t}\",\n \"private void err3() {\\n\\t\\tString errMessage = CalculatorValue.checkMeasureValue(text_Operand3.getText());\\n\\t\\tif (errMessage != \\\"\\\") {\\n\\t\\t\\t// System.out.println(errMessage);\\n\\t\\t\\tlabel_errOperand3.setText(CalculatorValue.measuredValueErrorMessage);\\n\\t\\t\\tif (CalculatorValue.measuredValueIndexofError <= -1)\\n\\t\\t\\t\\treturn;\\n\\t\\t\\tString input = CalculatorValue.measuredValueInput;\\n\\t\\t\\toperand3ErrPart1.setText(input.substring(0, CalculatorValue.measuredValueIndexofError));\\n\\t\\t\\toperand3ErrPart2.setText(\\\"\\\\u21EB\\\");\\n\\t\\t} else {\\n\\t\\t\\terrMessage = CalculatorValue.checkErrorTerm(text_Operand3.getText());\\n\\t\\t\\tif (errMessage != \\\"\\\") {\\n\\t\\t\\t\\t// System.out.println(errMessage);\\n\\t\\t\\t\\tlabel_errOperand3.setText(CalculatorValue.errorTermErrorMessage);\\n\\t\\t\\t\\tString input = CalculatorValue.errorTermInput;\\n\\t\\t\\t\\tif (CalculatorValue.errorTermIndexofError <= -1)\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\toperand3ErrPart1.setText(input.substring(0, CalculatorValue.errorTermIndexofError));\\n\\t\\t\\t\\toperand3ErrPart2.setText(\\\"\\\\u21EB\\\");\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"private void updateOutputLayerErrors(Vector errorVector) {\\r\\n\\t\\tList<Neuron> neurons = getNetwork().getOutputLayer().getNeurons();\\r\\n\\t\\tfor (int i = 0; i < neurons.size(); i++) {\\r\\n\\t\\t\\tNeuron neuron = neurons.get(i);\\r\\n\\t\\t\\tdouble outputError = errorVector.get(i);\\r\\n\\t\\t\\tupdateOutputLayerErrors(outputError, neuron);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public void calculate()\\n\\t{\\n\\t\\tString sourceUnitType = (String)this.sourceUnit.getChoice(this.sourceUnit.getSelectedIndex());\\n\\t\\tString destUnitType = (String)this.destUnit.getChoice(this.destUnit.getSelectedIndex());\\n\\t\\t\\n\\t\\tdouble sourceUnitMultiplier = LengthUnits.getMultiplier(sourceUnitType);\\n\\t\\tdouble destUnitMultiplier = LengthUnits.getMultiplier(destUnitType);\\n\\t\\t\\n\\t\\tdouble units = Integer.parseInt(this.input.getText());\\n\\t\\t\\n\\t\\tthis.outputLabel.setText(String.valueOf((units * (1 / sourceUnitMultiplier)) * destUnitMultiplier));\\n\\t}\",\n \"public static double diff() {\\n System.out.println(\\\"Enter minuend\\\");\\n double a = getNumber();\\n System.out.println(\\\"Enter subtrahend\\\");\\n double b = getNumber();\\n\\n return a - b;\\n }\",\n \"public int getDeltaT() {\\n return deltaT;\\n }\",\n \"public void reviseMotorSpeed() {\\n\\t\\tmHandler.removeMessages(EVAL_MOTOR_SPEED);\\n\\t\\tlong starttime = System.currentTimeMillis();\\n\\n\\t\\t//Retrieve current orientation.\\t\\t\\n\\t\\t\\n\\t\\tmAzimuth = mStatus.getReadingField(AZIMUTH);\\t\\t\\n\\t\\tmPitchDeg = mStatus.getReadingField(PITCH);\\n\\t\\tmRollDeg = -mStatus.getReadingField(ROLL);\\n\\t\\t\\n\\t\\tdouble[] errors = new double[4];\\n\\t\\tsynchronized (mAngleTarget) {\\n\\t\\t\\t//logArray(\\\"mAngleTarget\\\", mAngleTarget);\\n\\t\\t\\terrors[0] = mAngleTarget[0] - mRollDeg;\\n\\t\\t\\terrors[1] = mAngleTarget[1] - mPitchDeg;\\n\\t\\t\\terrors[2] = mAngleTarget[2] - mStatus.getGpsField(dALT);\\n\\t\\t\\terrors[3] = mAngleTarget[3] - mAzimuth;\\n\\t\\t\\t//logArray(\\\"errors\\\", errors);\\n\\t\\t}\\n\\t\\t\\n\\t\\t@SuppressWarnings(\\\"unused\\\")\\n\\t\\tString errs = \\\"errors: \\\";\\n\\t\\tfor (int i = 0; i < 4; i++) {\\n\\t\\t\\terrs += errors[i] + \\\": \\\";\\n\\t\\t}\\n\\t\\t//Log.v(TAG, errs);\\n\\t\\t//For azimuth, multiple possibilities exist for error, each equally valid; but only the error nearest zero makes practical sense.\\n\\t\\tif (errors[3] > 180.0)\\n\\t\\t\\terrors[3] -= 360.0;\\n\\t\\tif (errors[3] < -180.0)\\n\\t\\t\\terrors[3] += 360.0;\\n\\t\\t\\n\\t\\t\\n\\t\\tfor (int i = 0; i < 4; i++) {\\n\\t\\t\\t//Calculate proportional errors\\n\\t\\t\\tdouble err = errors[i];//mTarget[i] - mCurrent[i];\\n\\t\\t\\t\\n\\n\\t\\t\\t//Calculate derivative errors.\\n\\t\\t\\tlong timeInterval = starttime - mLastUpdate;\\n\\t\\t\\tif (timeInterval != 0) {\\n\\t\\t\\t\\tmErrors[i][2] = (err - mErrors[i][0]) * 1000.0 / timeInterval;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tmErrors[i][2] = 0.0;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t//Mark proportional error\\n\\t\\t\\tmErrors[i][0] = err;\\n\\t\\t\\t/*if (i == 2)\\n\\t\\t\\t\\tLog.v(TAG, \\\"guid, dalt err is \\\" + err);*/\\n\\t\\t\\t//Update integral errors\\n\\t\\t\\tmErrors[i][1] -= mIntegralErrors[i][mIntegralIndex];\\n\\t\\t\\tmIntegralErrors[i][mIntegralIndex] = err;\\n\\t\\t\\tmErrors[i][1] += err;\\n\\t\\t\\tmIntegralIndex = ++mIntegralIndex % PIDREPS;\\n\\t\\t\\t\\n\\t\\t\\t//Calculate changes in output\\n\\t\\t\\tfor (int j = 0; j < 3; j++) {\\n\\t\\t\\t\\tmControlVars[i] += mErrors[i][j] * mGain[i][j];\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tif (mGuidanceMode.get() == MANUAL) {\\n\\t\\t\\tsynchronized (mAngleTarget) {\\n\\t\\t\\t\\tmControlVars[2] = mAngleTarget[2];\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tmLastUpdate = starttime;\\n\\t\\t\\n\\t\\t// Constrain control vars:\\n\\t\\tmControlVars[0] = constrainValue(mControlVars[0], -1, 1);\\n\\t\\tmControlVars[1] = constrainValue(mControlVars[1], -1, 1);\\n\\t\\tmControlVars[2] = constrainValue(mControlVars[2], 0, 1);\\n\\t\\tmControlVars[3] = constrainValue(mControlVars[3], -2, 2);\\n\\t\\t\\n\\t\\t/*String vars = \\\"Control vars: \\\";\\n\\t\\tfor (int i = 0; i < 4; i++) {\\n\\t\\t\\tvars += mControlVars[i] + \\\": \\\";\\n\\t\\t}\\n\\t\\tLog.v(TAG, vars);*/\\n\\t\\t\\n\\t\\tcontrolVarsToMotorSpeeds();\\n\\t\\t\\n\\t\\t//Send motor values to motors here:\\n\\t\\tupdateMotors();\\n\\t\\tupdateAngleTarget();\\n\\t\\t//Log.v(TAG, \\\"motors: \\\" + mMotorSpeed[0] + \\\", \\\" + mMotorSpeed[1] + \\\", \\\" + mMotorSpeed[2] + \\\", \\\" + mMotorSpeed[3]);\\n\\t\\t//Sleep a while\\n\\t\\tlong timetonext = (1000 / PIDREPS) - (System.currentTimeMillis() - starttime);\\n\\t\\t//Log.v(TAG, \\\"time to next: \\\" + timetonext);\\n\\t\\tint currentMode = mGuidanceMode.get();\\n\\t\\tif ((currentMode == MANUAL) || (currentMode == AUTOPILOT)) {\\n\\t\\t\\tif (timetonext > 0)\\n\\t\\t\\t\\tmHandler.sendEmptyMessageDelayed(EVAL_MOTOR_SPEED, timetonext);\\n\\t\\t\\telse {\\n\\t\\t\\t\\tLog.e(TAG, \\\"Guidance too slow\\\");\\n\\t\\t\\t\\tmHandler.sendEmptyMessage(EVAL_MOTOR_SPEED);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public Double getError (long time)\\n {\\n if (this.state == null)\\n return null;\\n\\n return (this.state.getError());\\n }\",\n \"public double getDeltaT() {\\n\\t\\tif (deltatIsValid) {\\n\\t\\t\\treturn this.deltaT;\\n\\t\\t}\\n\\t\\tthis.deltaT = calc_deltaT(this.getJulDay());\\n\\t\\tdeltatIsValid = true;\\n\\t\\treturn this.deltaT;\\n\\t}\",\n \"public int getDelta() {\\n return delta_;\\n }\",\n \"@DSGenerator(tool_name = \\\"Doppelganger\\\", tool_version = \\\"2.0\\\", generated_on = \\\"2013-12-30 12:58:16.376 -0500\\\", hash_original_method = \\\"30167F0B844356CC78AEA2C709085F0A\\\", hash_generated_method = \\\"97001DA94BF07311688B46B6470E11E5\\\")\\n \\n public int eglGetError(){\\n \\treturn getTaintInt();\\n }\",\n \"public double toDelta() {\\n return ((double)(_secs)) + _fracDouble;\\n }\",\n \"public Delta unitized() {\\n // TODO(jasonpr): Check that is diagonal or is basic.\\n // This will require some refactoring, since currently\\n // isDiagonal and isBasic are methods of Move.\\n int length = Math.max(Math.abs(deltaFile), Math.abs(deltaRank));\\n return new Delta(deltaFile / length, deltaRank / length);\\n }\",\n \"@Override\\n\\tprotected long getUpdatedUnits(long units) {\\n\\t\\treturn units;\\n\\t}\",\n \"public void calcOutput()\\n\\t{\\n\\t}\",\n \"private void incrementErrors() {\\n totalErrors++;\\n totalTunitErrors++;\\n }\",\n \"public double getDriftUncertaintyInNsPerSec() {\\n /*\\n // Can't load method instructions: Load method exception: bogus opcode: 00e4 in method: android.location.GpsClock.getDriftUncertaintyInNsPerSec():double, dex: \\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: android.location.GpsClock.getDriftUncertaintyInNsPerSec():double\\\");\\n }\",\n \"private double getErrorSquare(DataObject o1, DataObject o2) {\\n\\t\\treturn getDistance(o1, o2);\\n\\t}\",\n \"private double calcErrForNeighbour(GNode node) {\\n return 0.0;\\n }\",\n \"public java.lang.String getErrDisc () {\\r\\n\\t\\treturn errDisc;\\r\\n\\t}\",\n \"private void calculateDelta() {\\n // 60 fps <=> delta ~ 0.016f\\n //\\n long curTime = SystemClock.elapsedRealtimeNanos();\\n delta = (curTime - lastTime) / 1_000_000_000.0f;\\n lastTime = curTime;\\n }\",\n \"public double getMaximumPositionErrorInArcsec ( ) {\\r\\n\\t\\treturn 5.0;\\r\\n\\t}\",\n \"public double getMaximumPositionErrorInArcsec ( ) {\\r\\n\\t\\treturn 5.0;\\r\\n\\t}\",\n \"java.lang.String getError();\",\n \"java.lang.String getError();\",\n \"java.lang.String getError();\",\n \"private String getExpectedXMLOutput() {\\r\\n\\t\\tStringBuffer xml = new StringBuffer();\\r\\n\\t\\txml.append(\\\"<ddms:verticalExtent \\\").append(getXmlnsDDMS()).append(\\\" \\\");\\r\\n\\t\\txml.append(\\\"ddms:unitOfMeasure=\\\\\\\"\\\").append(TEST_UOM).append(\\\"\\\\\\\" \\\");\\r\\n\\t\\txml.append(\\\"ddms:datum=\\\\\\\"\\\").append(TEST_DATUM).append(\\\"\\\\\\\">\\\\n\\\\t\\\");\\r\\n\\t\\txml.append(\\\"<ddms:\\\").append(getTestMinVerticalExtentName()).append(\\\">\\\").append(TEST_MIN);\\r\\n\\t\\txml.append(\\\"</ddms:\\\").append(getTestMinVerticalExtentName()).append(\\\">\\\\n\\\\t\\\");\\r\\n\\t\\txml.append(\\\"<ddms:\\\").append(getTestMaxVerticalExtentName()).append(\\\">\\\").append(TEST_MAX);\\r\\n\\t\\txml.append(\\\"</ddms:\\\").append(getTestMaxVerticalExtentName()).append(\\\">\\\\n\\\");\\r\\n\\t\\txml.append(\\\"</ddms:verticalExtent>\\\");\\r\\n\\t\\treturn (xml.toString());\\r\\n\\t}\",\n \"public abstract double toBasicUnit(double unit);\",\n \"private int computeQuantizationError(int oldPixel, int newPixel) {\\n int oldRed, oldGreen, oldBlue, oldAlpha,\\n newRed, newGreen, newBlue, newAlpha;\\n\\n oldRed = Color.red(oldPixel);\\n oldGreen = Color.green(oldPixel);\\n oldBlue = Color.blue(oldPixel);\\n oldAlpha = Color.alpha(oldPixel);\\n\\n newRed = Color.red(newPixel);\\n newGreen = Color.green(newPixel);\\n newBlue = Color.blue(newPixel);\\n newAlpha = Color.alpha(newPixel);\\n\\n return Color.argb(newAlpha, oldRed - newRed, oldGreen - newGreen, oldBlue - newBlue);\\n }\",\n \"void calculateError(List<Neuron> connectedNeurons) {\\n double weightedErrorSum = 0.0;\\n Iterator<Neuron> iter = connectedNeurons.iterator();\\n while(iter.hasNext()) {\\n Neuron neuron = iter.next();\\n weightedErrorSum += neuron.error * neuron.output;\\n }\\n this.error = this.getOutput()*(1-this.getOutput())*weightedErrorSum;\\n }\",\n \"@Test\\n public void testCalculateNominationCuantity2() throws FileNotFoundException {\\n System.out.println(\\\"testCalculateNominationCuantity 2\\\");\\n double expResult = 125.0;\\n double result = calc.getChange(124d, calc.calculateDenominationCuantity(124d));\\n assertEquals(expResult, result);\\n }\",\n \"public int getOlddeltaT() {\\n return olddeltaT;\\n }\",\n \"@Override\\n\\tpublic void adjustToError() {\\n\\t\\t\\n\\t}\",\n \"private void updateDelta() {\\r\\n // Convert registers to calendar\\r\\n Calendar c = getCalendarFromRegisters();\\r\\n\\r\\n // delta = calendar - elapsed\\r\\n deltaMs = c.getTimeInMillis() - platform.getMasterClock().getTotalElapsedTimePs() / MasterClock.PS_PER_MS;\\r\\n }\",\n \"public static void main(String[] args) {\\n Scanner s = new Scanner(System.in);\\n double x = s.nextDouble();\\n double y = s.nextDouble();\\n double a = s.nextDouble();\\n double b = s.nextDouble();\\n \\n DecimalFormat df = new DecimalFormat(\\\"#.000000000000\\\");\\n double dp = x*a + y*b;\\n double el =Math.sqrt(a*a + b*b);\\n //double mel = dp/Double.valueOf(df.format(el*el));\\n double mel = dp/(el*el);\\n double as = mel*a;\\n double bs = mel*b;\\n double n = (x-mel*a)/(-1*b);\\n //System.out.println(dp + \\\" \\\" + el + \\\" \\\" + mel + \\\" \\\" + as + \\\" \\\" + bs + \\\" \\\" + n);\\n System.out.println(mel);\\n System.out.println(n);\\n }\",\n \"int maxOffsetErrors(int parametricState);\",\n \"private void err4() {\\n\\t\\tString errMessage = CalculatorValue.checkMeasureValue(text_Operand4.getText());\\n\\t\\tif (errMessage != \\\"\\\") {\\n\\t\\t\\t// System.out.println(errMessage);\\n\\t\\t\\tlabel_errOperand4.setText(CalculatorValue.measuredValueErrorMessage);\\n\\t\\t\\tif (CalculatorValue.measuredValueIndexofError <= -1)\\n\\t\\t\\t\\treturn;\\n\\t\\t\\tString input = CalculatorValue.measuredValueInput;\\n\\t\\t\\toperand4ErrPart1.setText(input.substring(0, CalculatorValue.measuredValueIndexofError));\\n\\t\\t\\toperand4ErrPart2.setText(\\\"\\\\u21EB\\\");\\n\\t\\t} else {\\n\\t\\t\\terrMessage = CalculatorValue.checkErrorTerm(text_Operand4.getText());\\n\\t\\t\\tif (errMessage != \\\"\\\") {\\n\\t\\t\\t\\t// System.out.println(errMessage);\\n\\t\\t\\t\\tlabel_errOperand4.setText(CalculatorValue.errorTermErrorMessage);\\n\\t\\t\\t\\tString input = CalculatorValue.errorTermInput;\\n\\t\\t\\t\\tif (CalculatorValue.errorTermIndexofError <= -1)\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\toperand4ErrPart1.setText(input.substring(0, CalculatorValue.errorTermIndexofError));\\n\\t\\t\\t\\toperand4ErrPart2.setText(\\\"\\\\u21EB\\\");\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public void polyDiff() {\\n this.polySolve();\\n int dd2 = 0, dd3 = 0;\\n String d1 = \\\"\\\", d2 = \\\"\\\", d3 = \\\"\\\";\\n this.da = 3 * this.a;\\n this.db = 2 * this.b;\\n this.dc = this.c;\\n if (this.degree == 3) {\\n d1 = \\\"dy/dx = \\\" + this.da + \\\"x^2 \\\";\\n if (this.b == 0) {\\n dd2 = 1;\\n } else {\\n if (this.db > 0) {\\n d2 = \\\"+ \\\" + this.db + \\\"x \\\";\\n } else {\\n d2 = \\\"- \\\" + -this.db + \\\"x \\\";\\n }\\n }\\n if (this.c == 0) {\\n dd3 = 1;\\n } else {\\n if (this.dc > 0) {\\n d3 = \\\"+ \\\" + this.dc;\\n } else {\\n d3 = \\\"- \\\" + -this.dc;\\n }\\n }\\n if (dd2 == 0 && dd3 == 0) {\\n this.diff = d1 + d2 + d3;\\n }\\n if (dd2 == 0 && dd3 == 1) {\\n this.diff = d1 + d2;\\n }\\n if (dd2 == 1 && dd3 == 1) {\\n this.diff = d1;\\n }\\n if (dd2 == 1 && dd3 == 0) {\\n this.diff = d1 + d3;\\n }\\n\\n }\\n if (this.degree == 2) {\\n d1 = \\\"dy/dx = \\\" + this.db + \\\"x \\\";\\n if (this.dc == 0) {\\n this.diff = d1;\\n } else {\\n if (this.dc > 0) {\\n this.diff = d1 + \\\"+\\\" + this.dc;\\n } else {\\n this.diff = d1 + \\\"-\\\" + -this.dc;\\n }\\n }\\n }\\n if (this.degree == 1) {\\n this.diff = \\\"dy/dx = \\\" + this.c;\\n }\\n if (this.degree == 0) {\\n this.diff = \\\"dy/dx = \\\" + 0;\\n }\\n\\n }\",\n \"public int getDelta() {\\n return delta_;\\n }\",\n \"java.lang.String getErr();\",\n \"public double calculateObservedDisagreement();\",\n \"public static float getDelta() \\r\\n {\\r\\n return (currentTime - lastTime) * DAMPING; \\r\\n }\",\n \"public double getLastError() {\\n return lastError;\\n }\",\n \"float getVoltageStepIncrementOutOfPhase();\",\n \"public static String convertUnitStr(Unit source_unit, Unit target_unit) \\n\\tthrows ArithmeticException {\\n\\t\\tdouble f = source_unit.factor/target_unit.factor;\\n\\t\\tdouble ls;\\n\\t\\tif(target_unit.mksa == source_unit.mksa) {\\n\\t\\t\\tif((target_unit.mksa&_log)==0){\\n\\t\\t\\t\\tdouble toAdd = (source_unit.offset-target_unit.offset)/target_unit.factor;\\n\\t\\t\\t\\treturn f*((source_unit.value!=0.0)?source_unit.value:1.0)+\\\"*UNIT\\\"+((toAdd==0.0)?\\\"\\\":(toAdd<0.0)?\\\"\\\":\\\"+\\\"+toAdd);\\n\\t\\t\\t}\\n\\t\\t\\telse{\\t// Convert to log scale: log(km) --> log(m)+log(k)\\n\\t\\t\\t\\tif((source_unit.offset!=0)||(target_unit.offset!=0)){\\n\\t\\t\\t\\t\\tthrow new ArithmeticException(\\\"****Unit: can't convert non-standard unit \\\" + source_unit.symbol + \\\" into \\\" + target_unit.symbol);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tf = AstroMath.log(f);\\n\\t\\t\\t\\tif ((target_unit.mksa&_mag) != 0) f = -2.5*f;\\n\\t\\t\\t\\treturn ((source_unit.value!=0.0)?source_unit.value+\\\"*\\\":\\\"\\\")+\\\"UNIT\\\"+((f<0.0)?\\\"\\\":\\\"+\\\")+f;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tif((target_unit.mksa&(~_LOG))!=(source_unit.mksa&(~_LOG))){\\t\\n\\t\\t\\tthrow new ArithmeticException(\\\"****Unit: can't convert \\\" + source_unit.symbol + \\\" into \\\" + target_unit.symbol);\\n\\t\\t}\\n\\t\\t/* Convert to / from Log scale */\\n\\t\\tif ((target_unit.mksa&_log)==0) {\\t\\t// Remove the log\\n\\t\\t\\tls = (source_unit.mksa&_mag)!=0?-2.5:1.;\\n\\t\\t\\treturn (source_unit.mksa&_mag)!=0?\\n\\t\\t\\t\\t\\tf+\\\"*exp(-(UNIT*\\\"+((source_unit.value!=0.0)?source_unit.value:1.0)*AstroMath.ln10+\\\")/2.5)\\\"\\n\\t\\t\\t\\t\\t:f+\\\"*exp(UNIT*\\\"+((source_unit.value!=0.0)?source_unit.value:1.0)*AstroMath.ln10+\\\")\\\";\\n\\t\\t}\\n\\t\\t/* The target is a log. Check whether the source is also in log scale */\\n\\t\\tif ((source_unit.mksa&_log) != 0) {\\t// Convert from log to log\\n\\t\\t\\tString toReturn = (source_unit.mksa&_mag)!=0?-0.4*((source_unit.value!=0.0)?source_unit.value:1.0)+\\\"*UNIT\\\":((source_unit.value!=0.0)?source_unit.value+\\\"*\\\":\\\"\\\")+\\\"UNIT\\\";\\n\\t\\t\\ttoReturn += AstroMath.log(f); // Target assumed to be log\\n\\t\\t\\tif((target_unit.mksa&_mag)!=0) return \\\"-2.5*(\\\"+toReturn+\\\")\\\";\\t// Target is a magnitude\\n\\t\\t\\treturn toReturn;\\n\\t\\t}\\n\\t\\t/* The target is a log, the source is in a linear scale. */\\n\\t\\tls = (target_unit.mksa&_mag)!=0?-2.5:1.;\\n\\t\\treturn ls+\\\"*log(\\\"+(f*((source_unit.value!=0.0)?source_unit.value:1.0))+\\\"*UNIT)\\\";\\n\\t}\",\n \"private String getExpectedHTMLTextOutput(OutputFormat format) throws InvalidDDMSException {\\r\\n\\t\\tUtil.requireHTMLText(format);\\r\\n\\t\\tStringBuffer text = new StringBuffer();\\r\\n\\t\\ttext.append(buildHTMLTextOutput(format, \\\"verticalExtent.unitOfMeasure\\\", String.valueOf(TEST_UOM)));\\r\\n\\t\\ttext.append(buildHTMLTextOutput(format, \\\"verticalExtent.datum\\\", String.valueOf(TEST_DATUM)));\\r\\n\\t\\ttext.append(buildHTMLTextOutput(format, \\\"verticalExtent.minimum\\\", String.valueOf(TEST_MIN)));\\r\\n\\t\\ttext.append(buildHTMLTextOutput(format, \\\"verticalExtent.maximum\\\", String.valueOf(TEST_MAX)));\\r\\n\\t\\treturn (text.toString());\\r\\n\\t}\",\n \"public BigDecimal getMatchPODifference()\\n\\t{\\n\\t\\tif (isDescription())\\n\\t\\t\\treturn Env.ZERO;\\n\\t\\tBigDecimal retValue = getMovementQty();\\n\\t\\tMMatchPO[] po = getMatchPO();\\n\\t\\tfor (MMatchPO matchPO : po) {\\n\\t\\t\\tretValue = retValue.subtract (matchPO.getQty());\\n\\t\\t}\\n\\t\\tlog.finer(\\\"#\\\" + retValue);\\n\\t\\treturn retValue;\\n\\t}\",\n \"public float getDelta() {\\n\\t\\treturn delta;\\n\\t}\",\n \"@Test(timeout = 4000)\\n public void test05() throws Throwable {\\n String string0 = EWrapperMsgGenerator.tickOptionComputation(98, (-2146523664), 1.0, 0.0, 98, 568.38);\\n assertEquals(\\\"id=98 unknown: vol = 1.0 delta = 0.0\\\", string0);\\n }\",\n \"double getDeltaScore();\",\n \"private static Vector3f[] calculatePositionDifferences(Drone drone, Vector3f[] newVelocities, float dt) {\\r\\n\\r\\n\\t\\t\\r\\n\\t\\t// calculate the average linear velocity\\r\\n\\t\\tVector3f avgLinearVelocityW = average(drone.getLinearVelocity(), newVelocities[0]);\\r\\n\\r\\n\\t\\t// calculate the translation\\r\\n\\t\\tVector3f deltaPositionW = (Vector3f) avgLinearVelocityW.scale(dt);\\r\\n\\r\\n\\t\\t// calculate the average angular velocity\\r\\n\\t\\tVector3f avgAngularVelocityW = average(drone.getAngularVelocity(), newVelocities[1]);\\r\\n\\r\\n\\t\\t// calculate the rotation\\r\\n\\t\\tVector3f deltarotationW = ((Vector3f) avgAngularVelocityW.scale(dt));\\r\\n\\r\\n\\t\\treturn new Vector3f[] { deltaPositionW, deltarotationW };\\r\\n\\t}\",\n \"private long getPTSUs() {\\n long result = System.nanoTime() / 1000L;\\n if (result < prevOutputPTSUs)\\n result = (prevOutputPTSUs - result) + result;\\n return result;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6688998","0.6673902","0.6327255","0.6265994","0.6212894","0.6078784","0.60198474","0.60041595","0.5920608","0.58027476","0.580101","0.5783899","0.5749643","0.56795675","0.5656226","0.5610653","0.5589121","0.55779725","0.5553104","0.55313724","0.5495819","0.5471852","0.547015","0.5468944","0.5464579","0.5460582","0.54366827","0.54350305","0.54319906","0.5404471","0.5402161","0.5397013","0.5326412","0.53233224","0.53211194","0.5312202","0.529304","0.5288584","0.52852327","0.5280007","0.5244298","0.52425957","0.52420324","0.52350074","0.523496","0.52326727","0.52322304","0.52259773","0.5214353","0.52106947","0.5190538","0.5185068","0.5184455","0.5180277","0.51721","0.5168594","0.5165482","0.5163655","0.5155016","0.51524556","0.5152","0.51414967","0.5130343","0.5128882","0.51232356","0.51197684","0.5114562","0.51073295","0.5094705","0.50935453","0.5089468","0.5089468","0.5088998","0.5088998","0.5088998","0.50811875","0.5076268","0.50721675","0.5063623","0.5058498","0.50548285","0.5052869","0.50507575","0.5050117","0.50499773","0.5045386","0.5038921","0.50371605","0.5035707","0.5034761","0.50282174","0.50248015","0.50157315","0.5010222","0.50097364","0.5002554","0.49944952","0.4988603","0.49860275","0.49773476","0.4975293"],"string":"[\n \"0.6688998\",\n \"0.6673902\",\n \"0.6327255\",\n \"0.6265994\",\n \"0.6212894\",\n \"0.6078784\",\n \"0.60198474\",\n \"0.60041595\",\n \"0.5920608\",\n \"0.58027476\",\n \"0.580101\",\n \"0.5783899\",\n \"0.5749643\",\n \"0.56795675\",\n \"0.5656226\",\n \"0.5610653\",\n \"0.5589121\",\n \"0.55779725\",\n \"0.5553104\",\n \"0.55313724\",\n \"0.5495819\",\n \"0.5471852\",\n \"0.547015\",\n \"0.5468944\",\n \"0.5464579\",\n \"0.5460582\",\n \"0.54366827\",\n \"0.54350305\",\n \"0.54319906\",\n \"0.5404471\",\n \"0.5402161\",\n \"0.5397013\",\n \"0.5326412\",\n \"0.53233224\",\n \"0.53211194\",\n \"0.5312202\",\n \"0.529304\",\n \"0.5288584\",\n \"0.52852327\",\n \"0.5280007\",\n \"0.5244298\",\n \"0.52425957\",\n \"0.52420324\",\n \"0.52350074\",\n \"0.523496\",\n \"0.52326727\",\n \"0.52322304\",\n \"0.52259773\",\n \"0.5214353\",\n \"0.52106947\",\n \"0.5190538\",\n \"0.5185068\",\n \"0.5184455\",\n \"0.5180277\",\n \"0.51721\",\n \"0.5168594\",\n \"0.5165482\",\n \"0.5163655\",\n \"0.5155016\",\n \"0.51524556\",\n \"0.5152\",\n \"0.51414967\",\n \"0.5130343\",\n \"0.5128882\",\n \"0.51232356\",\n \"0.51197684\",\n \"0.5114562\",\n \"0.51073295\",\n \"0.5094705\",\n \"0.50935453\",\n \"0.5089468\",\n \"0.5089468\",\n \"0.5088998\",\n \"0.5088998\",\n \"0.5088998\",\n \"0.50811875\",\n \"0.5076268\",\n \"0.50721675\",\n \"0.5063623\",\n \"0.5058498\",\n \"0.50548285\",\n \"0.5052869\",\n \"0.50507575\",\n \"0.5050117\",\n \"0.50499773\",\n \"0.5045386\",\n \"0.5038921\",\n \"0.50371605\",\n \"0.5035707\",\n \"0.5034761\",\n \"0.50282174\",\n \"0.50248015\",\n \"0.50157315\",\n \"0.5010222\",\n \"0.50097364\",\n \"0.5002554\",\n \"0.49944952\",\n \"0.4988603\",\n \"0.49860275\",\n \"0.49773476\",\n \"0.4975293\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":32579,"cells":{"query":{"kind":"string","value":"/ It initialise the weights"},"document":{"kind":"string","value":"public void initLayers() {\n\t\t/* Initialise the weights */\n\t Random rng = new Random(1);\n double distributeRandom = 1.0 / SIZE_INPUT_LAYER;\n\t\tweightsOfHiddenLayer = new double[SIZE_HIDDEN_LAYER][SIZE_INPUT_LAYER]; \n\t\tweightsOfOutputLayer = new double[SIZE_OUTPUT_LAYER][SIZE_HIDDEN_LAYER]; \n\t\t/* Initialise the biases */\n\t\tbiasOfHiddenLayer = new double[SIZE_HIDDEN_LAYER];\n\t\tbiasOfOutputLayer = new double[SIZE_OUTPUT_LAYER];\t\t\n\t\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\n\t\t\tfor(int j = 0; j < SIZE_INPUT_LAYER; j++) {\n\t\t\t\tweightsOfHiddenLayer[i][j] = rng.nextDouble() * (distributeRandom - (-distributeRandom)) + (-distributeRandom);\n\t\t\t}\n\t\t}\n\t\tfor(int i = 0; i < SIZE_OUTPUT_LAYER; i++) {\n\t\t\tfor(int j = 0; j < SIZE_HIDDEN_LAYER; j++) {\n\t\t\t\tweightsOfOutputLayer[i][j] = rng.nextDouble() * (distributeRandom - (-distributeRandom)) + (-distributeRandom);\n\t\t\t}\n\t\t}\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public void initWeights(){\r\n Random rand = new Random();\r\n double e = Math.sqrt(6.0/(wordSize*windowSize+hiddenSize));\r\n \r\n W = SimpleMatrix.random(hiddenSize, windowSize*wordSize, -e, e, rand);\r\n b1 = new SimpleMatrix(hiddenSize, 1);\r\n b1.zero();\r\n \r\n //U = SimpleMatrix.random(hiddenSize, 1, -0.1, 0.1, rand);\r\n U = new SimpleMatrix(hiddenSize, 1);\r\n U.zero();\r\n b2 = 0.0;\r\n \r\n C = C/(W.getNumElements()+U.getNumElements());\r\n \t}","public void initWeights(){\n setNextLayer(network.getNextLayer(layerNumber));\n //determine the number of neurons in the next layer\n int neuronNextLayer = next.neuronCount;\n //create arrays for backpopagation learning\n createArr();\n //set the weightThreshold\n weightThreshold = new double[neuronCount+1][neuronNextLayer];\n //System.out.println(\"weightThreshold row:\"+weightThreshold.length+\" col:\"+weightThreshold[0].length);\n //randomize all the elements. range is between -.5 and .5\n for(int i=0; i<weightThreshold.length; i++){\n for(int j=0; j<weightThreshold[i].length; j++){\n weightThreshold[i][j] = getRandomNumber();\n }\n }\n }","private void initialiseWeights() {\n\n threshold = -1+2*Math.random();\n thresholdDiff = 0;\n\n for(int i = 0; i < weight.length; i++) {\n weight[i]= -1+2*Math.random();\n weightDiff[i] = 0;\n }\n\n }","protected void initializeUniformWeight() {\n\n if(CrashProperties.fitnessFunctions.length == 2){\n for (int n = 0; n < populationSize; n++) {\n double a = 1.0 * n / (populationSize - 1);\n lambda[n][0] = a;\n lambda[n][1] = 1 - (a);\n }\n }else {\n for (int n = 0; n < populationSize; n++) {\n double a = 1.0 * n / (populationSize - 1);\n lambda[n][0] = a;\n lambda[n][1] = (1 - (a))/2;\n lambda[n][2] = (1 - (a))/2;\n }\n }\n\n }","public void setWeights(float[] w) {\n _w1D = w;\n _weights = true;\n }","public void updateWeights() {\n\t\t\n\t}","public Weight( int[] init )\n {\n // Construct the array the same length\n // as that referenced by init.\n data = new int[init.length];\n\n // Copy values from the\n // input data to data.\n for ( int j = 0; j < init.length; j++ )\n {\n data[j] = init[j];\n }\n }","public void setWeights(float[][] w) {\n _w2D = w;\n _weights = true;\n }","public void initWeights(int dataSetSize) {\n\t\t// initialize both weight vectors with random values between -0.1 ad 0.1\n\t\tfor (int i = 0; i < numHidden; i++) {\n\t\t\tArrayList<Double> temp = new ArrayList<Double>();\n\t\t\tfor (int j = 0; j < dataSetSize; j++) {\n\t\t\t\ttemp.add(-.1 + (.1 - (-.1)) * random.nextDouble());\n\t\t\t}\n\t\t\thiddenWeights.add(temp);\n\t\t\tlayerTwoWeights.add(-.1 + (.1 - (-.1)) * random.nextDouble());\n\t\t}\n\t}","public void setWeights(double[] w) {\n\t\t\tweights = w;\n\t\t}","public WeightingModel(){}","public void setWeights(Weight[] weights) {\n this.weights = weights;\n }","private void setWeight() {\n \tthis.trainWeight = (this.trainCars*TRAIN_WEIGHT) + (this.crew + this.numPassengers) * AVE_PASSENGER_WEIGHT;\n }","private void setWeightsUniformly(RandomDataImpl rnd, double eInit) {\n\t\tfor (int i = 0; i < weights.length; i++) {\t\t\n\t\t\tweights[i] = rnd.nextUniform(-eInit, eInit);\n\t\t}\n\t}","public void update_weight() {\n this.weights = this.updatedWeights;\n }","public static float[] initializeWeights(int numWeights){\n\t\tfloat[] weights = new float[numWeights];\n\t\tfor (int i = 0; i < weights.length; i++) {\n\t\t\tweights[i] = (float)(randomGenerator.nextInt(100)/ 100.0 + 0.5);\n\t\t}\n\n\t\treturn weights;\n\t}","public void setWeight(double w){\n weight = w;\n }","public void setWeight(int w){\n\t\tweight = w;\n\t}","private int[][] initializeWeight(final Node[] nodes, final Edge[] edges) {\n int[][] W = new int[nodes.length][nodes.length];\n\n for (int i = 0; i < nodes.length; i++) {\n Arrays.fill(W[i], Integer.MAX_VALUE);\n }\n for (Edge e : edges) {\n W[e.getFrom().id][e.getTo().id] = e.getWeight();\n\n }\n return W;\n }","public SpaceWeights(int weight)\n {\n earthWeight = weight;\n }","public void resetWeights() {\n averagingCoefficient = 0;\n weightMap.clear();\n weightCacheMap.clear();\n }","public void setWeights() {\n for (Square[] square : squares) {\n for (Square square1 : square) {\n try {\n int i = Integer.parseInt(square1.getText());\n square1.setV(new Vertex(square1.getXcoor(), square1.getYcoor(), i));\n } catch (NumberFormatException e) {\n square1.setV(new Vertex(square1.getXcoor(), square1.getYcoor(), 1));\n }\n }\n }\n }","public void setWeight(float w) {\n weight = w;\n }","public void setWeight(int w) {\n\t\tweight = w;\n\t}","private void setupStuff() {\n\t\tm_seenNumbers = new double[featureArray.length][];\n\t\tm_Weights = new double[featureArray.length][];\n\t\tm_NumValues = new int[featureArray.length];\n\t\tm_SumOfWeights = new double[featureArray.length];\n\t\tfeatureTotals = new int[featureArray.length];\n\n\t\tfor (int i = 0; i < featureArray.length; i++) {\n\t\t\tm_NumValues[i] = 0;\n\t\t\tm_seenNumbers[i] = new double[100];\n\t\t\tm_Weights[i] = new double[100];\n\t\t}\n\n\t\t/*\n\t\t * initialize structures for probabilities of each class and of each\n\t\t * feature\n\t\t */\n\t\tclassCounts = new double[MLearner.NUMBER_CLASSES];\n\t\tprobs = new HashMap[MLearner.NUMBER_CLASSES][featureArray.length];\n\t\tRealprobs = new HashMap[MLearner.NUMBER_CLASSES][featureArray.length];\n\t\tfor (int i = 0; i < MLearner.NUMBER_CLASSES; i++) {\n\t\t\tfor (int j = 0; j < featureArray.length; j++) {\n\t\t\t\tif (featureArray[j]) {//only create if we are using that\n\t\t\t\t\t// feature\n\t\t\t\t\tprobs[i][j] = new HashMap();\n\t\t\t\t\tif (EmailInternalConfigurationWindow.isFeatureDiscrete(j)) {\n\t\t\t\t\t\tprobs[i][j].put(\"_default\", new Double(0));\n\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t}\n\t\t\tclassCounts[i] = 0;\n\t\t}\n\n\t}","private void initialise() {\n \thashFamily = new Hash[this.r];\n for(int i= 0; i < this.r;i++)\n {\n \tthis.hashFamily[i] = new Hash(this.s * 2);\n }\n this.net = new OneSparseRec[this.r][this.s *2];\n for(int i = 0 ; i < this.r; i++)\n \tfor(int j =0 ; j< this.s * 2 ; j++)\n \t\tthis.net[i][j] = new OneSparseRec();\n \n }","@Override\n\t\tpublic int get_weights() {\n\t\t\treturn weight;\n\t\t}","public ColorWeight()\n {\n weight = 0;\n }","public void init(weighted_graph g);","@Generated\n @Selector(\"initWithWeights:biases:\")\n public native MPSCNNConvolutionWeightsAndBiasesState initWithWeightsBiases(\n @NotNull @Mapped(ObjCObjectMapper.class) MTLBuffer weights,\n @Nullable @Mapped(ObjCObjectMapper.class) MTLBuffer biases);","public VirtualLibraryButler(ButlerWeights weights) {\n\tsetMatrixes(weights);\n\tinitialized = true;\n\torg.encog.util.logging.Logging.stopConsoleLogging();\n }","private void setWeight(float weight){\n this.weight = weight;\n }","public void setNewWeights(boolean clearWeights) {\n Random randomEngine = new Random();\n if (clearWeights) {\n for (int i = 0; i <= inputs; ++i) {\n weights[i] = 0.0;\n exWeights[i] = 0.0;\n changes[i] = 0.0;\n }\n }\n else {\n for (int i = 0; i <= inputs; ++i) {\n weights[i] = randomEngine.nextDouble() - 0.5;\n exWeights[i] = 0.0;\n changes[i] = 0.0;\n }\n }\n }","public void initState() {\n\n\t\tdouble bsc_p = 0.09; // TODO : doit dependre du souffle !?\n\t\tfor (int i=0; i<n; i++) lambda[i] = 0;\n\t\taddBSCnoise(lambda, bsc_p); \n\t\t// lambda: log likelihood ratio\n\t\tcalc_q0(lambda);\n\n\t\t// initialization of beta\n\t\tfor (int i = 0; i <= m - 1; i++) {\n\t\t\tfor (int j = 0; j <= row_weight[i] - 1; j++) {\n\t\t\t\tbeta[i][j] = 0.0;\n\t\t\t}\n\t\t}\t\t\n\n\t}","@Override\n protected void initializeSample(SamplingContext context) {\n for(int i = 0 ; i < this.EVars.length ; i++) {\n Variable EVar = this.EVars[i];\n int EVal = this.EVals[i];\n int EIndex = Toolkit.indexOf(this.sampledVars, EVar);\n context.sampledVarsAssignment[EIndex] = EVal;\n }\n // produce a few samples to get the network into a more \"normal\" state\n for(int i = 0 ; i < this.resamplingActions.size() * 2 ; i++)\n this.produceSample(context);\n context.sampleWeight = 1.0;\n\n /*WeightedSampleProducer weightedSampler = new WeightedSampleProducer(\n this.bn, this.XVars, this.YVars, this.EVars, this.EVals);\n // the variable values are preserved after the following call\n weightedSampler.produceSample(context); // evidence is correctly set\n context.sampleWeight = 1.0;*/\n }","public void init(final DataSet observations) throws ModelInitializationException {\n super.init(observations);\n if (weights != null) {\n if (weights.length != slices)\n throw new IllegalArgumentException(\" Number of weights and Number of slices mismatch\");\n if ((slices * step) > observations.getDataPoints().size())\n throw new IllegalArgumentException(\" Insufficient data points for the given step size and number of slices\");\n\n float sum = 0.0f;\n for (float weight : weights) sum += weight;\n boolean adjust = false;\n if (Math.abs(sum - 1.0) > TOLERANCE) {\n adjust = true;\n }\n int periods = weights.length;\n if (adjust) {\n for (int w = 0; w < periods; w++)\n this.weights[w] = weights[w] / sum;\n }\n } else {\n weights = new float[slices];\n for (int i = 0; i < weights.length; i++)\n weights[i] = 1;\n }\n }","public final void initializeWeights(String rowMatrix){\n\t\ttry {\n\t\t\tBufferedReader matrixReader = new BufferedReader(new FileReader(rowMatrix));\n\t\n\t\t\tString firstLine = matrixReader.readLine(); // get first line\n\t\t\tmatrixReader.close();\n\t\t\n\t\t\tString[] sizes = firstLine.split(\"\\\\s+\");\n\t\t\t\n\t\t\tint columnCount = Integer.parseInt(sizes[1]); \n\t\n\t\t\tweights = new double[columnCount]; \n\t\t\tfor(int i = 0; i < weights.length; i++){\n\t\t\t\tweights[i] = 1;\n\t\t\t}\n\t\t} catch (Exception e) {\n\t\t\tLOGGER.warning(e.getMessage());\n\t\t}\n\t}","protected void updateWeights() {\n\t\tvisualization.updateWeights();\n\t}","Weighting(Lattice from, Lattice to) {\n _from = from;\n _to = to;\n _weights = new double[from.latticeSize()][to.latticeSize()];\n _isInteracting = false;\n }","public void Initialize()\n\t{ \n\t\t// avoid K=0 \n\t\tif(K == 0) \n\t\t\tK = 1;\n\t\t\n\t\tLogging.println(\"ITrain=\"+ITrain + \", ITest=\"+ITest + \", Q=\"+Q, LogLevel.DEBUGGING_LOG);\n\t\tLogging.println(\"K=\"+K + \", eta=\" + eta + \", maxIter=\"+ maxIter, LogLevel.DEBUGGING_LOG);\n\t\tLogging.println(\"lambdaW=\"+lambdaW + \", alpha=\"+ alpha, LogLevel.DEBUGGING_LOG);\n\t\t\n\t\t// set the labels to be binary 0 and 1, needed for the logistic loss\n\t\tCreateOneVsAllTargets();\n\t\t\n\t\tRandom rand = new Random();\n\t\t\n\t\tL = new int[K];\n\t\tfor(int k=0; k < K; k++)\n\t\t\tL[k] = rand.nextInt(Q);\n\t\t\n\t\t\n\t\tLogging.println(\"Classes=\"+C, LogLevel.DEBUGGING_LOG);\n\t\t\n\t\t// initialize shapelets\n\t\tInitializeShapeletsRandomly();\n\t\t\n\t\t// initialize weights\n\t\tW = new double[C][K];\n\t\tbiasW = new double[C];\n\t\t\n\t\t\n\t\t// initialize the terms for pre-computation\n\t\tD = new double[ITrain+ITest][K][];\n\t\tE = new double[ITrain+ITest][K][];\n\t\t\n\t\tfor(int i = 0; i < ITrain+ITest; i++)\n\t\t\t\tfor(int k = 0; k < K; k++)\n\t\t\t\t{\n\t\t\t\t\tD[i][k] = new double[Q-L[k]+1];\n\t\t\t\t\tE[i][k] = new double[Q-L[k]+1];\n\t\t\t\t}\n\t\t\n\t\tM = new double[ITrain+ITest][K];\n\t\tPsi = new double[ITrain+ITest][K];\t\t \n\t\tphi = new double[ITrain+ITest][C];\n\t\t\n\t\t\n\t\t// store all the index and class indexes\n\t\tidxPairs = new ArrayList<Integer>();\n\t\tfor(int i = 0; i < ITrain; i++)\n\t\t{\n\t\t\t\tidxPairs.add(i);\n\t\t\t\t\n\t\t\t\tPreCompute(i); \n\t\t}\n\t\t\n\t\n\t\t// shuffle the order\n\t\tCollections.shuffle(idxPairs);\n\t\t\n\t\t\t\t\n\t\tLogging.println(\"Initializations Completed!\", LogLevel.DEBUGGING_LOG);\n\t}","public void testSetWeight()\n {\n WeightedKernel<Vector> instance = new WeightedKernel<Vector>();\n assertEquals(WeightedKernel.DEFAULT_WEIGHT, instance.getWeight());\n \n double weight = RANDOM.nextDouble();\n instance.setWeight(weight);\n assertEquals(weight, instance.getWeight());\n \n weight = 0.0;\n instance.setWeight(weight);\n assertEquals(weight, instance.getWeight());\n \n weight = 4.7;\n instance.setWeight(weight);\n assertEquals(weight, instance.getWeight());\n \n boolean exceptionThrown = false;\n try\n {\n instance.setWeight(-1.0);\n }\n catch ( IllegalArgumentException ex )\n {\n exceptionThrown = true;\n }\n finally\n {\n assertTrue(exceptionThrown);\n }\n \n }","public void setMatrixes(ButlerWeights weights) {\n\n\tnumTags = weights.getNumTags();\n\tflatShelfs = weights.getShelfs();\n\tnumShelfs = flatShelfs.size();\n\tbrain = generateBrain(numTags, numShelfs);\n\n\tbrain.getStructure().getSynapses().get(0).setMatrix(\n\t\tweights.getWeights());\n\n\tcurrentWeights = weights;\n\n\tinitialized = true;\n }","private void initWeight(Exemplar ex) {\t\n int pos = 0, neg = 0, n = 0;\n Exemplar cur = m_Exemplars;\n if (cur == null){\n ex.setPositiveCount(1);\n ex.setNegativeCount(0);\n return;\n }\n while(cur != null){\n pos += cur.getPositiveCount();\n neg += cur.getNegativeCount();\n n++;\n cur = cur.next;\n }\n ex.setPositiveCount(pos / n);\n ex.setNegativeCount(neg / n);\n }","public Neuron(double[] weights) {\n this.weights = weights;\n this.updatedWeights = this.weights;\n this.change = 0;\n }","@Override\n public void setWeight(double w) {\n this.weight = w;\n\n }","public LearningBoardEvaluator(int numWeights) {\n super(numWeights);\n }","public void setWeight(int weight){\n\t\tthis.weight = weight;\n\t}","public WeightedGraph() {\n super();\n }","private void initialize() {\r\n // init hidden layers\r\n for (int i = 0; i < neurons.length; i++) {\r\n for (int j = 0; j < neurons[i].length; j++) {\r\n // create neuron\r\n Neuron n = new Neuron(i, bias, this);\r\n neurons[i][j] = n;\r\n Log.log(Log.DEBUG, \"Adding Layer \" + (i + 1) + \" Neuron \" + (j + 1));\r\n }\r\n }\r\n }","public void setPredatorsWeights(double[] weights) {\r\n int k = 0;\r\n for (Predator predator : predators) {\r\n predator.setWeights(weights, k);\r\n if(controller == ControllerType.HETEROGENEO){\r\n k += (weights.length/predators.size());\r\n }\r\n }\r\n }","private void initialize() {\n\t\tScanner sc = new Scanner(System.in);\n\t\tSystem.out.print(\"Enter number of items : \");\n\t\tn = sc.nextInt(); // number of items\n\t\tSystem.out.print(\"Enter W of knapsack : \");\n\t\tW = sc.nextInt(); // capacity of knapsack\n\t\tw = new int[n];\n\t\tv = new int[n];\n\t\tSystem.out.println(\"Enter ws and vs of items : \");\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\tw[i] = sc.nextInt(); // weight of item\n\t\t\tv[i] = sc.nextInt(); // profit of item\n\t\t}\n\t\tV = new int[n + 1][W + 1]; // initializing the table to hold results\n\t\tfor (int i = 0; i <= W; i++)\n\t\t\tV[0][i] = 0;\n\t}","public ConditionTargetWeight(int weight)\n\t{\n\t\t_weight = weight;\n\t}","public void setWeight(double weight) {\r\n this.weight = weight;\r\n }","public void init(float[] bias_inp, float[] bias_out,\n float[] bias_memin, float[] weight_memout,\n float outputbias) {\n cloneWeightMatrix();\n }","private void init() {\r\n\tlocals = new float[maxpoints * 3];\r\n\ti = new float[] {1, 0, 0};\r\n\tj = new float[] {0, 1, 0};\r\n\tk = new float[] {0, 0, 1};\r\n\ti_ = new float[] {1, 0, 0};\r\n\tk_ = new float[] {0, 0, 1};\r\n }","public void setWeight(double weight){\n\t\tthis.weight = weight;\n\t}","public void setWeight(double weight) {\n this.weight = weight;\n }","public WeightedAdjacencyGraph() {\n this.vertices = new HashMap<>();\n }","protected void createWeightMatrix(Folksonomy trainingData) throws Exception\n\t{\n\t\tint i, j, k;\n\t\tint num_tag = trainingData.numTags();\n\t\tint num_user = trainingData.numUsers();\n\t\tint num_item = trainingData.numItems();\n\t\tint num_temp, itemIndex, tagIndex;\n\t\tUserTagProfile utp;\n\t\tAnnotatedItem ai;\n\t\tArrayList<Integer> tags;\n\t\tweight_ti = new SparseMatrix(num_tag, num_item);\n\t\tweight_ut = new SparseMatrix(num_user, num_tag);\n\t\tint[] t_sum = new int[num_tag];\n\t\tint[] u_sum = new int[num_user];\n\t\tfor (i = 0; i < num_user; i++)\n\t\t{\n\t\t\tutp = trainingData.getUserProfile(trainingData.getUserByIndex(i));\n\t\t\tnum_temp = utp.numItems();\n\t\t\tfor (j = 0; j < num_temp; j++)\n\t\t\t{\n\t\t\t\tai = utp.getAnnotatedItem(j);\n\t\t\t\ttags = ai.getTags();\n\t\t\t\titemIndex = trainingData.getItemIndex(ai.getItemId());\n\t\t\t\tfor (k = 0; k < tags.size(); k++)\n\t\t\t\t{\n\t\t\t\t\ttagIndex = trainingData.getTagIndex(tags.get(k));\n\t\t\t\t\tt_sum[tagIndex] += 1;\n\t\t\t\t\tweight_ti.set(tagIndex, itemIndex,\n\t\t\t\t\t\t\tweight_ti.at(tagIndex, itemIndex) + 1);\n\t\t\t\t\tweight_ut.set(i, tagIndex, weight_ut.at(i, tagIndex) + 1);\n\t\t\t\t}\n\t\t\t\tu_sum[i] += ai.numTags();\n\t\t\t}\n\t\t}\n\t\tfor (i = 0; i < num_tag; i++)\n\t\t{\n\t\t\tfor (j = 0; j < num_item; j++)\n\t\t\t{\n\t\t\t\tif (weight_ti.containRowCol(i, j))\n\t\t\t\t\tweight_ti.set(i, j, weight_ti.at(i, j) / t_sum[i]);\n\t\t\t}\n\t\t\tfor (k = 0; k < num_user; k++)\n\t\t\t{\n\t\t\t\tif (weight_ut.containRowCol(k, i))\n\t\t\t\t\tweight_ut.set(k, i, weight_ut.at(k, i) / u_sum[k]);\n\t\t\t}\n\t\t}\n\t\t\n\t}","public WeightedAdjMatGraph(){\n this.edges = new int[DEFAULT_CAPACITY][DEFAULT_CAPACITY];\n this.n = 0;\n this.vertices = (T[])(new Object[DEFAULT_CAPACITY]);\n }","public void setWeight(double weight){\n\t\tthis._weight = weight;\n\t}","private List<Weight> loadWeights() {\n return mWeightDb.getWeights();\n }","public void setWeight(final int weight) {\n this.weight = weight;\n }","public void setWeight(Integer weight) {\n this.weight = weight;\n }","public static void main(String[] args) throws Exception {\n\t\t// double[] w = evolveWeights();\n\t\t// printWeights(w);\n\t\tdouble[] myweights = { -2.21466955153828, -0.07474857363573262, -1.1749783341411326, 0.16397829193498464,\n\t\t\t\t0.07131629649717008, 1.61328716208057, -2.641459977820003, -2.189110351161901, -0.20970779418672014,\n\t\t\t\t1.4439418468883647, -0.2184717560493591, -1.5078991641372075, -0.4975766167697391, -0.02410194533351991,\n\t\t\t\t-1.528121086508629, 0.4893670827264642, 0.24474596975099, -0.33381774735153213, -2.0197364115373686,\n\t\t\t\t-2.285127694998558, -1.6102939758132773, -1.5170275119464784, 2.839569745070095, -2.2196308724273552,\n\t\t\t\t-0.0212824892080149, 0.014455462339448166, -0.8294873147131405, -4.008294779402316, -1.6636632454217084,\n\t\t\t\t-1.9129203960517205, 0.25183900782052027, -3.9328447788262255, 1.7493959642027366, 0.4956568965253274,\n\t\t\t\t-0.07060668503545968, -1.0647141555175716, -2.5621340861527404, -0.5646708616200512,\n\t\t\t\t-3.3199764295441483, -0.7423376302286884, -2.0759415442240625, 1.8468059487043376, 1.8301868662020766,\n\t\t\t\t0.3265136721962445, 0.2963634372088102, -1.570986722570204, 0.030502603573360328, 1.4024108876313992,\n\t\t\t\t-0.14772072123156077, 1.4790013912446605, -0.19399829641453603, 0.025796871304820657,\n\t\t\t\t-1.7353744443081178, -0.7774882870945194, -0.8864079092655823, 0.01860475661039064,\n\t\t\t\t-0.38816929845666215, 5.433590999656766, -0.7039983033363961, 1.1052189890385327, -0.6337678641299205,\n\t\t\t\t2.577846157879395, -1.6954645339963452, -3.3151515029911014, -0.5905535947937579, -3.208862197909249,\n\t\t\t\t0.3533810265008289, -0.014479467387126133, -0.4997747691476975, 0.17895696721499255, 0.7889684353058366,\n\t\t\t\t0.6640692831578959, -1.7362432877961986, 2.4182626823702855, 1.2843792391756987, 1.9815093968825601,\n\t\t\t\t-0.30220651427285306, 0.7436105113169372, 1.0680163086014036, 1.7517072771957438, 1.2282614956016236,\n\t\t\t\t-4.1695808227962035, 0.5978930687432595, -1.5020444810097677, 1.2212439971243139, -3.2648411343496164,\n\t\t\t\t0.6909710728147561, -1.3070485527971965, -2.028589199427193, -1.2316367055137034, -1.1776549704837918,\n\t\t\t\t3.0932207527724955, 0.09163042597406289, 0.14951497594494684, 3.4362942167755, -0.5107751983055535,\n\t\t\t\t1.4777997649386783, -1.6160308476702507, -0.7331259806111848, 2.6279925296341906, -1.7722891199616801,\n\t\t\t\t-2.632229462809496, 0.44428581550083274, 1.6278865636527509, -0.0329347232073198, -2.918867540199039,\n\t\t\t\t0.9628195606239641, -2.156481296002708, -1.056790342242603, -2.2556629595171356, -0.9553204054731589,\n\t\t\t\t2.413880737785754, -0.9992245987211152, 0.9108199628723169, -1.134380039817171, -1.0116006672645148,\n\t\t\t\t-0.5854694644938652, -3.8446665938925046, 3.232988970599319, -0.05839122943338931, -0.12200406901238987,\n\t\t\t\t-1.1970864247655226, -1.7736651076674108, 3.2042060881784344, -0.06681900340608203, 0.6095617884784129,\n\t\t\t\t2.6621135698954426, -1.9808653269739094, 2.4179303951852247, -0.1020298670663256, 0.8455422105561868,\n\t\t\t\t-0.6172016676389036, 1.5106799954170962, 0.22045980127688758, -0.32315411146978057, 0.3521551186665719,\n\t\t\t\t-1.376041285561516, -0.5007424056636434, 1.361180226793381, 0.5485767449283305, 0.4822090152603501,\n\t\t\t\t0.0035720899920257954, 0.20198792489462591, 2.9637620623310696, 0.746515676821096, 1.33314607227669,\n\t\t\t\t1.7880569950236676, 0.24310824088346455, -0.7720019287108711, 0.2770938718675544, -0.002821079170251539,\n\t\t\t\t0.6432076089386127, -2.080883646553964, -2.2316867814270336, -0.8152503328954235, 0.07666991930368347,\n\t\t\t\t0.7994585307407924, 4.040588645491936, 3.293290177485252, -0.6587327188020271, -0.2608808875988929,\n\t\t\t\t0.9747677475984142, 2.398983410951306, -0.6437438305433649, 0.02124428359002813, 1.5585328640214078,\n\t\t\t\t-0.301679640295372, -1.6053388324773985, 0.24993532845039462, 0.24408970961912746, 2.425260721978244,\n\t\t\t\t-0.8068206244484942, 0.05105476442114232, 0.6059510612060248, -3.2193288600922187, -3.631848243294158,\n\t\t\t\t1.4240768232681529, -1.7707952765701727, 1.2344743497386608, 2.4338900468729023, 0.43014199440688067,\n\t\t\t\t0.20816791679939328, 1.4989715392344287, 0.13455171261820276, 1.0621048796860084, 0.9728863685939746,\n\t\t\t\t-3.9871305903296723, 0.6897219833391851, -1.098819235411824, -0.5984492289686463, -2.303924190561265,\n\t\t\t\t1.1193184751481047, -1.0328499504466768, -0.8910211970908617, 0.9946509861991504, -0.6898892448411882,\n\t\t\t\t-0.43356416305497014, 0.054783696872076626, 0.233434394673659, 3.225842335938765, 3.297560597443148,\n\t\t\t\t-0.9815414837749732, -1.5241431138614758, 0.2003787279485732, -0.6881136445150136, 3.4238717049813934,\n\t\t\t\t0.003453173792474847, -0.8061218778816472, -0.4402066310426072, -1.636723071030285, 3.163218840903199,\n\t\t\t\t0.5100537731772297, -1.103269998723354, -0.7879470972745664, -2.236992460857296, -2.1393375184180212,\n\t\t\t\t-1.1548394915305815, -2.280645418548106, 0.6909647906413796, -0.8314321184642959, -3.2122142779955563,\n\t\t\t\t0.37452253354430365, -0.7849739993770579, 0.3504279749557794, -1.0540725377016087, 0.041950910604904586,\n\t\t\t\t0.8784481358277388, -0.14974538330350365, 1.559727397979539, -0.6605219061003249, 3.622853835751025,\n\t\t\t\t1.7401420193245865, 1.220309981802207, -0.22257446946377682, -0.7746021595685124, -1.117421721755124,\n\t\t\t\t-0.9138705765688842, 0.14610649511784396, -0.7526008992175952, 0.10653763536360544,\n\t\t\t\t-0.06514332909119891, -0.2097381331142011, -1.0529132828316619, 2.1798628015621757, -0.3091083139673463,\n\t\t\t\t0.8577372690910885, 1.6985927086198869, 0.4634835727447051, 0.03566063568597455, -0.13895025188806187,\n\t\t\t\t0.8498827214996195, -0.9091546683669671, 1.3826935600107073, -0.8152255589205574, 1.7274291860876136,\n\t\t\t\t0.786497013333733, 1.6227793753957989, 0.7876476663994035, 2.157300684833067, -0.09447665526454312,\n\t\t\t\t-2.11514518468542, -1.089786880457046, -0.1570647222609598, 0.743643370603463, -0.4237412616449528,\n\t\t\t\t2.38254290787229, 5.305775057877128, 1.8737860414844345, -1.8325132176577972, 2.5427149426139777,\n\t\t\t\t0.6923303547353667, -1.1867898040888405, 2.584322135207721, 1.9779450607594122, -0.8178488064297246,\n\t\t\t\t1.9581575076866673, -0.2412475645390626, 1.2870350743909154, 0.2570224449276464, -4.092909749196866,\n\t\t\t\t3.898874605498058, -0.16220823886347796, 0.2634423746472414, -2.5921511819647276, -0.29329004951913773,\n\t\t\t\t-3.485083266813694, 3.5670785842138093, 0.7244265147251102, -0.0029356664095335516, 1.4901040035846655,\n\t\t\t\t2.8999162174147775 };\n\n\t\tController.doBattle(new ReflexAgent(), new NeuralAgent(myweights));\n\t\t// System.out.print(win_Collection[]);\n\t}","protected abstract void updateWeightsSpecific(double ni);","public WeightedInstances(Instances paraInstances) {\n\t\tsuper(paraInstances);\n\t\tsetClassIndex(numAttributes() - 1);\n\n\t\t// Initialize weights\n\t\tweights = new double[numInstances()];\n\t\tdouble tempAverage = 1.0 / numInstances();\n\t\tfor (int i = 0; i < weights.length; i++) {\n\t\t\tCommon.runSteps ++;\n\t\t\tweights[i] = tempAverage;\n\t\t} // Of for i\n\t\tSimpleTools.variableTrackingOutput(\"Instances weights are: \" + Arrays.toString(weights));\n\t}","public void setWeight(double weight) {\n\t\tthis.weight = weight;\n\t}","void reinitialize(double nodeRadius, boolean weighted){\n /* see constructor method for body description*/\n\n double vectorX = x2 - x1;\n double vectorY = y2 - y1;\n double length = Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1));\n vectorX /= length;\n vectorY /= length;\n\n x1 += (nodeRadius + 2) * vectorX;\n y1 += (nodeRadius + 2) * vectorY;\n x2 -= (nodeRadius + 2) * vectorX;\n y2 -= (nodeRadius + 2) * vectorY;\n\n mainLine = new Line(x1, y1, x2, y2);\n mainLine.setStrokeWidth(3);\n\n double xWproj = -ARROW_WING * vectorX;\n double yWproj = -ARROW_WING * vectorY;\n double x = xWproj * COS_WING - yWproj * SIN_WING;\n double y = xWproj * SIN_WING + yWproj * COS_WING;\n firstWing = new Line(x2, y2, x2 + x, y2 + y);\n firstWing.setStrokeWidth(2);\n\n x = xWproj * COS_WING + yWproj * SIN_WING;\n y = -xWproj * SIN_WING + yWproj * COS_WING;\n secondWing = new Line(x2, y2, x2 + x, y2 + y);\n secondWing.setStrokeWidth(2);\n\n if (((vectorX >= 0) && (vectorY >= 0))\n || ((vectorX <= 0) && (vectorY <= 0))) {\n weightText = new Text((x1 + x2) / 2., (y1 + y2) / 2., String.format(\"%.2f\", weight));\n }\n else {\n weightText = new Text((x1 + x2) / 2. - 30, (y1 + y2) / 2., String.format(\"%.2f\", weight));\n }\n\n weightText.setFont(new Font(15));\n weightText.setFill(TEXT_COLOR);\n weightText.setStroke(Color.BLACK);\n weightText.setStrokeWidth(0.5);\n if (!weighted){\n firstWing.setVisible(false);\n secondWing.setVisible(false);\n weightText.setVisible(false);\n }\n\n initialized = true;\n }","public int weight ();","private void trainOnSamples() {\n for (Sample sample : samples) {\n double sum = 0;\n \n for (int i = 0; i < weights.length; i++) { //calculating w1.x1 + w2.x2 + ... \n sum += weights[i] * sample.getP()[i];\n }\n sum += bias; //adding bias to the sum\n\n if (!compareOutput(sum, sample)) { //compare network & target output\n //updating the weights\n for (int i = 0; i < weights.length; i++) {\n weights[i] += sample.getTarget() * sample.getP()[i];\n }\n //updating the bias\n bias += sample.getTarget();\n sample.setValidation(false);\n } else {\n sample.setValidation(true);\n }\n }\n }","public void setWeight(Double weight) {\n this.weight = weight;\n }","@Override\r\n\tpublic void setWeight(double weight) {\n\t\t\r\n\t}","public void setWeights(double ACC, double ARM, double EVA, double HP, double INT,\n\t\t\tdouble LCK, double MAG, double MRE, double STR, double SP)\n\t{\n\t\tthis.statWeights = new double[10];\n\t\tstatWeights[0] = ACC;\n\t\tstatWeights[1] = ARM;\n\t\tstatWeights[2] = EVA;\n\t\tstatWeights[3] = HP;\n\t\tstatWeights[4] = INT;\n\t\tstatWeights[5] = LCK;\n\t\tstatWeights[6] = MAG;\n\t\tstatWeights[7] = MRE;\n\t\tstatWeights[8] = STR;\n\t\tstatWeights[9] = SP;\n\t}","public WGraph_DS()\n {\n modeCount=0;\n edges=0;\n HashMap<Integer,node_info>nodesHash=new HashMap<>();\n HashMap<Integer,Neighbors>edgesHash=new HashMap<>();\n }","@Override\n\tpublic void setWeight(final double weight) {\n\n\t}","Weighting(InteractingLattice self) {\n _from = self;\n _to = self;\n _weights = new double[self.latticeSize()][self.latticeSize()];\n _isInteracting = true;\n }","private void trainPerceptrons(){\n double activationValues[] = new double[4];\n for(Image image:asciiReader.getTrainingImages()){\n for (int j = 0 ; j < activationValues.length; j++){\n activationValues[j] = activationFunction\n .apply(sumWeights(j,image));\n }\n adjustWeights(activationValues,image);\n }\n }","public void adjustWeightsTest() {\n\t\tboolean[] tempCorrectArray = new boolean[numInstances()];\n\t\tfor (int i = 0; i < tempCorrectArray.length / 2; i++) {\n\t\t\ttempCorrectArray[i] = true;\n\t\t} // Of for i\n\n\t\tdouble tempWeightedError = 0.3;\n\n\t\tadjustWeights(tempCorrectArray, tempWeightedError);\n\n\t\tSystem.out.println(\"After adjusting\");\n\n\t\tSystem.out.println(toString());\n\t}","public void addWeight(){\n\t\tweight++;\n\t}","public void setWeight(float value) {\n this.weight = value;\n }","public void setWeight(int weight) {\n\t\tif (weight > 0) {\n\t\t\tthis.weight = weight;\n\t\t} else {\n\t\t\tthis.weight = 0;\n\t\t}\n\t}","private void initiateWordCount(){\n for(String key: DataModel.bloomFilter.keySet()){\n WordCountHam.put(key, 0);\n WordCountSpam.put(key, 0);\n }\n }","private void init() {\n\t\tthis.model = ModelFactory.createOntologyModel(OntModelSpec.OWL_MEM);\n\t\tthis.model.setNsPrefixes(INamespace.NAMSESPACE_MAP);\n\n\t\t// create classes and properties\n\t\tcreateClasses();\n\t\tcreateDatatypeProperties();\n\t\tcreateObjectProperties();\n\t\t// createFraktionResources();\n\t}","public Weight[] getWeights() {\n return weights;\n }","void init() {\r\n \tfor (int i=0; i<SIZE; i++) {\r\n \t\tfor (int j=0; j<LEN; j++) {\r\n \t\t\tif (rnd.nextDouble() < 0.5)\r\n \t\t\t\toldpop[i][j] = 0;\r\n \t\t\telse\r\n \t\t\t\toldpop[i][j] = 1;\r\n \t\t}\r\n \t}\r\n \tfor (int j=0; j<LEN; j++) {\r\n \t\tcbest[j] = oldpop[0][j];\r\n \t}\r\n\t\tbest = fitness(0);\r\n }","public IdealWeightCalculator() {\n initComponents();\n }","@Override\r\n public void init(weighted_graph g) {\r\n this.Graph = g;\r\n }","public void setWeight(final double pWeight){this.aWeight = pWeight;}","public int weight() {\n \treturn weight;\n }","public void setConvolutionalWeights(double[][][][][] weights) {\n this.convolutionalWeights = weights;\n }","public void setWeight(int i, int j, double w) {\n if (this.n == -1 || this.m == -1) {\n throw new IllegalStateException(\"Graph size not specified.\");\n }\n if ((i < 0) || (i >= this.n)) {\n throw new IllegalArgumentException(\"i-value out of range: \" + i);\n }\n if ((j < 0) || (j >= this.m)) {\n throw new IllegalArgumentException(\"j-value out of range: \" + j);\n }\n if (Double.isNaN(w)) {\n throw new IllegalArgumentException(\"Illegal weight: \" + w);\n }\n\n this.weights[i][j] = w;\n if ((w > Double.NEGATIVE_INFINITY) && (w < this.minWeight)) {\n this.minWeight = w;\n }\n if (w > this.maxWeight) {\n this.maxWeight = w;\n }\n }","void initialise() {\n this.sleep = false;\n this.owner = this;\n renewNeighbourClusters();\n recalLocalModularity();\n }","public void random_initialize_ss()\r\n\t{\r\n//\t\tMersenneTwister mt = new MersenneTwister(10); //set seed\r\n\t\tRandom rand = new Random(); \r\n\t\tint k, n;\r\n\t\tfor (k = 0; k < num_topics; k++)\r\n\t {\r\n\t for (n = 0; n < num_terms; n++)\r\n\t {\r\n\t class_word[k][n] += 1.0/num_terms + rand.nextDouble();\r\n\t class_total[k] += class_word[k][n];\r\n\t }\r\n\t }\r\n\t}","abstract void setWeight(int i, int j, Double weight);","public void trainWeights(int numEpochs, int player, int winner) {\n // Will be using the boardStates member which has already encoded the\n // boards on the path to the endgame.\n // The board states must now be fit to a reinforcement learning curve.\n double[][] trainingOutput = new double[stateCount][1]; // this is the total output (useful if using an ANN).\n double nn_i_succ = 0.0;\n double nn_i = 0.0;\n\n //REALLY IMPORTANT: Training is from the perspective of the black player, so if black lost, training will\n //use negative values. If black won, it will be trained with positive values. This must be kept in mind\n //when querying the features for values!\n\n //every other value depends on this one.\n for (int i=stateCount-1; i>=0; i--) {\n //for convenience get the value of the nn at boardStates[i] and boardStates[i+1]\n if (i == stateCount-1) {\n if (winner == LOABoard.PLAYER_BLACK)\n nn_i_succ = 1;\n else if (winner == LOABoard.PLAYER_WHITE)\n nn_i_succ = -1;\n else // Draw\n nn_i_succ = 0;\n } else {\n nn_i_succ = DISCOUNT_FACTOR * nn_i;\n }\n\n nn_i = 0;\n for ( int j = 0; j < numberOfWeights; j++ )\n nn_i += boardStates[i][j] * weights[j];\n\n trainingOutput[i][0] = nn_i + LEARNING_RATE*(nn_i_succ-nn_i);\n\n for (int j=0; j< numberOfWeights; j++) {//each epoch involves training on every board state in the game\n weights[j] = weights[j] + LEARNING_RATE*(nn_i_succ-nn_i)*boardStates[i][j];\n }//for j\n }//for i\n\n ////begin debug\n//\t System.out.println(\"Debug Message: Displaying array trainingOutput (after fit to TD learning curve) \" + stateCount);\n//\t for (int debug =0; debug < trainingOutput.length; debug++) {\n//\t\tSystem.out.println(trainingOutput[debug][0]);\n// }\n ////done debug\n\n System.out.println(\"Debug Message: Displaying weights array after update.\");\n for (int i = 0; i < numberOfWeights; i++) {\n System.out.println(weights[i]);\n }\n\n System.out.println(\"Info Message: Done training weights on results from game.\");\n }","public Solution(int[] w) {\n // get a Random instance\n random = new Random();\n\n // fulfill weightPrefixSum array\n int len = w.length;\n weightPrefixSum = new int[len];\n weightPrefixSum[0] = w[0];\n for(int i = 1; i < w.length; i++){\n weightPrefixSum[i] = weightPrefixSum[i-1] + w[i];\n }\n }","public void setWeight(String weight) {\n this.weight = weight;\n }","public LinearNeuron(double[] weights)\n\t{\n\t\tsuper(weights);\n\t}","@Override\n\tpublic void init(directed_weighted_graph g) {\n\t\tthis.dwg = g;\n\t}"],"string":"[\n \"public void initWeights(){\\r\\n Random rand = new Random();\\r\\n double e = Math.sqrt(6.0/(wordSize*windowSize+hiddenSize));\\r\\n \\r\\n W = SimpleMatrix.random(hiddenSize, windowSize*wordSize, -e, e, rand);\\r\\n b1 = new SimpleMatrix(hiddenSize, 1);\\r\\n b1.zero();\\r\\n \\r\\n //U = SimpleMatrix.random(hiddenSize, 1, -0.1, 0.1, rand);\\r\\n U = new SimpleMatrix(hiddenSize, 1);\\r\\n U.zero();\\r\\n b2 = 0.0;\\r\\n \\r\\n C = C/(W.getNumElements()+U.getNumElements());\\r\\n \\t}\",\n \"public void initWeights(){\\n setNextLayer(network.getNextLayer(layerNumber));\\n //determine the number of neurons in the next layer\\n int neuronNextLayer = next.neuronCount;\\n //create arrays for backpopagation learning\\n createArr();\\n //set the weightThreshold\\n weightThreshold = new double[neuronCount+1][neuronNextLayer];\\n //System.out.println(\\\"weightThreshold row:\\\"+weightThreshold.length+\\\" col:\\\"+weightThreshold[0].length);\\n //randomize all the elements. range is between -.5 and .5\\n for(int i=0; i<weightThreshold.length; i++){\\n for(int j=0; j<weightThreshold[i].length; j++){\\n weightThreshold[i][j] = getRandomNumber();\\n }\\n }\\n }\",\n \"private void initialiseWeights() {\\n\\n threshold = -1+2*Math.random();\\n thresholdDiff = 0;\\n\\n for(int i = 0; i < weight.length; i++) {\\n weight[i]= -1+2*Math.random();\\n weightDiff[i] = 0;\\n }\\n\\n }\",\n \"protected void initializeUniformWeight() {\\n\\n if(CrashProperties.fitnessFunctions.length == 2){\\n for (int n = 0; n < populationSize; n++) {\\n double a = 1.0 * n / (populationSize - 1);\\n lambda[n][0] = a;\\n lambda[n][1] = 1 - (a);\\n }\\n }else {\\n for (int n = 0; n < populationSize; n++) {\\n double a = 1.0 * n / (populationSize - 1);\\n lambda[n][0] = a;\\n lambda[n][1] = (1 - (a))/2;\\n lambda[n][2] = (1 - (a))/2;\\n }\\n }\\n\\n }\",\n \"public void setWeights(float[] w) {\\n _w1D = w;\\n _weights = true;\\n }\",\n \"public void updateWeights() {\\n\\t\\t\\n\\t}\",\n \"public Weight( int[] init )\\n {\\n // Construct the array the same length\\n // as that referenced by init.\\n data = new int[init.length];\\n\\n // Copy values from the\\n // input data to data.\\n for ( int j = 0; j < init.length; j++ )\\n {\\n data[j] = init[j];\\n }\\n }\",\n \"public void setWeights(float[][] w) {\\n _w2D = w;\\n _weights = true;\\n }\",\n \"public void initWeights(int dataSetSize) {\\n\\t\\t// initialize both weight vectors with random values between -0.1 ad 0.1\\n\\t\\tfor (int i = 0; i < numHidden; i++) {\\n\\t\\t\\tArrayList<Double> temp = new ArrayList<Double>();\\n\\t\\t\\tfor (int j = 0; j < dataSetSize; j++) {\\n\\t\\t\\t\\ttemp.add(-.1 + (.1 - (-.1)) * random.nextDouble());\\n\\t\\t\\t}\\n\\t\\t\\thiddenWeights.add(temp);\\n\\t\\t\\tlayerTwoWeights.add(-.1 + (.1 - (-.1)) * random.nextDouble());\\n\\t\\t}\\n\\t}\",\n \"public void setWeights(double[] w) {\\n\\t\\t\\tweights = w;\\n\\t\\t}\",\n \"public WeightingModel(){}\",\n \"public void setWeights(Weight[] weights) {\\n this.weights = weights;\\n }\",\n \"private void setWeight() {\\n \\tthis.trainWeight = (this.trainCars*TRAIN_WEIGHT) + (this.crew + this.numPassengers) * AVE_PASSENGER_WEIGHT;\\n }\",\n \"private void setWeightsUniformly(RandomDataImpl rnd, double eInit) {\\n\\t\\tfor (int i = 0; i < weights.length; i++) {\\t\\t\\n\\t\\t\\tweights[i] = rnd.nextUniform(-eInit, eInit);\\n\\t\\t}\\n\\t}\",\n \"public void update_weight() {\\n this.weights = this.updatedWeights;\\n }\",\n \"public static float[] initializeWeights(int numWeights){\\n\\t\\tfloat[] weights = new float[numWeights];\\n\\t\\tfor (int i = 0; i < weights.length; i++) {\\n\\t\\t\\tweights[i] = (float)(randomGenerator.nextInt(100)/ 100.0 + 0.5);\\n\\t\\t}\\n\\n\\t\\treturn weights;\\n\\t}\",\n \"public void setWeight(double w){\\n weight = w;\\n }\",\n \"public void setWeight(int w){\\n\\t\\tweight = w;\\n\\t}\",\n \"private int[][] initializeWeight(final Node[] nodes, final Edge[] edges) {\\n int[][] W = new int[nodes.length][nodes.length];\\n\\n for (int i = 0; i < nodes.length; i++) {\\n Arrays.fill(W[i], Integer.MAX_VALUE);\\n }\\n for (Edge e : edges) {\\n W[e.getFrom().id][e.getTo().id] = e.getWeight();\\n\\n }\\n return W;\\n }\",\n \"public SpaceWeights(int weight)\\n {\\n earthWeight = weight;\\n }\",\n \"public void resetWeights() {\\n averagingCoefficient = 0;\\n weightMap.clear();\\n weightCacheMap.clear();\\n }\",\n \"public void setWeights() {\\n for (Square[] square : squares) {\\n for (Square square1 : square) {\\n try {\\n int i = Integer.parseInt(square1.getText());\\n square1.setV(new Vertex(square1.getXcoor(), square1.getYcoor(), i));\\n } catch (NumberFormatException e) {\\n square1.setV(new Vertex(square1.getXcoor(), square1.getYcoor(), 1));\\n }\\n }\\n }\\n }\",\n \"public void setWeight(float w) {\\n weight = w;\\n }\",\n \"public void setWeight(int w) {\\n\\t\\tweight = w;\\n\\t}\",\n \"private void setupStuff() {\\n\\t\\tm_seenNumbers = new double[featureArray.length][];\\n\\t\\tm_Weights = new double[featureArray.length][];\\n\\t\\tm_NumValues = new int[featureArray.length];\\n\\t\\tm_SumOfWeights = new double[featureArray.length];\\n\\t\\tfeatureTotals = new int[featureArray.length];\\n\\n\\t\\tfor (int i = 0; i < featureArray.length; i++) {\\n\\t\\t\\tm_NumValues[i] = 0;\\n\\t\\t\\tm_seenNumbers[i] = new double[100];\\n\\t\\t\\tm_Weights[i] = new double[100];\\n\\t\\t}\\n\\n\\t\\t/*\\n\\t\\t * initialize structures for probabilities of each class and of each\\n\\t\\t * feature\\n\\t\\t */\\n\\t\\tclassCounts = new double[MLearner.NUMBER_CLASSES];\\n\\t\\tprobs = new HashMap[MLearner.NUMBER_CLASSES][featureArray.length];\\n\\t\\tRealprobs = new HashMap[MLearner.NUMBER_CLASSES][featureArray.length];\\n\\t\\tfor (int i = 0; i < MLearner.NUMBER_CLASSES; i++) {\\n\\t\\t\\tfor (int j = 0; j < featureArray.length; j++) {\\n\\t\\t\\t\\tif (featureArray[j]) {//only create if we are using that\\n\\t\\t\\t\\t\\t// feature\\n\\t\\t\\t\\t\\tprobs[i][j] = new HashMap();\\n\\t\\t\\t\\t\\tif (EmailInternalConfigurationWindow.isFeatureDiscrete(j)) {\\n\\t\\t\\t\\t\\t\\tprobs[i][j].put(\\\"_default\\\", new Double(0));\\n\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\t\\t\\tclassCounts[i] = 0;\\n\\t\\t}\\n\\n\\t}\",\n \"private void initialise() {\\n \\thashFamily = new Hash[this.r];\\n for(int i= 0; i < this.r;i++)\\n {\\n \\tthis.hashFamily[i] = new Hash(this.s * 2);\\n }\\n this.net = new OneSparseRec[this.r][this.s *2];\\n for(int i = 0 ; i < this.r; i++)\\n \\tfor(int j =0 ; j< this.s * 2 ; j++)\\n \\t\\tthis.net[i][j] = new OneSparseRec();\\n \\n }\",\n \"@Override\\n\\t\\tpublic int get_weights() {\\n\\t\\t\\treturn weight;\\n\\t\\t}\",\n \"public ColorWeight()\\n {\\n weight = 0;\\n }\",\n \"public void init(weighted_graph g);\",\n \"@Generated\\n @Selector(\\\"initWithWeights:biases:\\\")\\n public native MPSCNNConvolutionWeightsAndBiasesState initWithWeightsBiases(\\n @NotNull @Mapped(ObjCObjectMapper.class) MTLBuffer weights,\\n @Nullable @Mapped(ObjCObjectMapper.class) MTLBuffer biases);\",\n \"public VirtualLibraryButler(ButlerWeights weights) {\\n\\tsetMatrixes(weights);\\n\\tinitialized = true;\\n\\torg.encog.util.logging.Logging.stopConsoleLogging();\\n }\",\n \"private void setWeight(float weight){\\n this.weight = weight;\\n }\",\n \"public void setNewWeights(boolean clearWeights) {\\n Random randomEngine = new Random();\\n if (clearWeights) {\\n for (int i = 0; i <= inputs; ++i) {\\n weights[i] = 0.0;\\n exWeights[i] = 0.0;\\n changes[i] = 0.0;\\n }\\n }\\n else {\\n for (int i = 0; i <= inputs; ++i) {\\n weights[i] = randomEngine.nextDouble() - 0.5;\\n exWeights[i] = 0.0;\\n changes[i] = 0.0;\\n }\\n }\\n }\",\n \"public void initState() {\\n\\n\\t\\tdouble bsc_p = 0.09; // TODO : doit dependre du souffle !?\\n\\t\\tfor (int i=0; i<n; i++) lambda[i] = 0;\\n\\t\\taddBSCnoise(lambda, bsc_p); \\n\\t\\t// lambda: log likelihood ratio\\n\\t\\tcalc_q0(lambda);\\n\\n\\t\\t// initialization of beta\\n\\t\\tfor (int i = 0; i <= m - 1; i++) {\\n\\t\\t\\tfor (int j = 0; j <= row_weight[i] - 1; j++) {\\n\\t\\t\\t\\tbeta[i][j] = 0.0;\\n\\t\\t\\t}\\n\\t\\t}\\t\\t\\n\\n\\t}\",\n \"@Override\\n protected void initializeSample(SamplingContext context) {\\n for(int i = 0 ; i < this.EVars.length ; i++) {\\n Variable EVar = this.EVars[i];\\n int EVal = this.EVals[i];\\n int EIndex = Toolkit.indexOf(this.sampledVars, EVar);\\n context.sampledVarsAssignment[EIndex] = EVal;\\n }\\n // produce a few samples to get the network into a more \\\"normal\\\" state\\n for(int i = 0 ; i < this.resamplingActions.size() * 2 ; i++)\\n this.produceSample(context);\\n context.sampleWeight = 1.0;\\n\\n /*WeightedSampleProducer weightedSampler = new WeightedSampleProducer(\\n this.bn, this.XVars, this.YVars, this.EVars, this.EVals);\\n // the variable values are preserved after the following call\\n weightedSampler.produceSample(context); // evidence is correctly set\\n context.sampleWeight = 1.0;*/\\n }\",\n \"public void init(final DataSet observations) throws ModelInitializationException {\\n super.init(observations);\\n if (weights != null) {\\n if (weights.length != slices)\\n throw new IllegalArgumentException(\\\" Number of weights and Number of slices mismatch\\\");\\n if ((slices * step) > observations.getDataPoints().size())\\n throw new IllegalArgumentException(\\\" Insufficient data points for the given step size and number of slices\\\");\\n\\n float sum = 0.0f;\\n for (float weight : weights) sum += weight;\\n boolean adjust = false;\\n if (Math.abs(sum - 1.0) > TOLERANCE) {\\n adjust = true;\\n }\\n int periods = weights.length;\\n if (adjust) {\\n for (int w = 0; w < periods; w++)\\n this.weights[w] = weights[w] / sum;\\n }\\n } else {\\n weights = new float[slices];\\n for (int i = 0; i < weights.length; i++)\\n weights[i] = 1;\\n }\\n }\",\n \"public final void initializeWeights(String rowMatrix){\\n\\t\\ttry {\\n\\t\\t\\tBufferedReader matrixReader = new BufferedReader(new FileReader(rowMatrix));\\n\\t\\n\\t\\t\\tString firstLine = matrixReader.readLine(); // get first line\\n\\t\\t\\tmatrixReader.close();\\n\\t\\t\\n\\t\\t\\tString[] sizes = firstLine.split(\\\"\\\\\\\\s+\\\");\\n\\t\\t\\t\\n\\t\\t\\tint columnCount = Integer.parseInt(sizes[1]); \\n\\t\\n\\t\\t\\tweights = new double[columnCount]; \\n\\t\\t\\tfor(int i = 0; i < weights.length; i++){\\n\\t\\t\\t\\tweights[i] = 1;\\n\\t\\t\\t}\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tLOGGER.warning(e.getMessage());\\n\\t\\t}\\n\\t}\",\n \"protected void updateWeights() {\\n\\t\\tvisualization.updateWeights();\\n\\t}\",\n \"Weighting(Lattice from, Lattice to) {\\n _from = from;\\n _to = to;\\n _weights = new double[from.latticeSize()][to.latticeSize()];\\n _isInteracting = false;\\n }\",\n \"public void Initialize()\\n\\t{ \\n\\t\\t// avoid K=0 \\n\\t\\tif(K == 0) \\n\\t\\t\\tK = 1;\\n\\t\\t\\n\\t\\tLogging.println(\\\"ITrain=\\\"+ITrain + \\\", ITest=\\\"+ITest + \\\", Q=\\\"+Q, LogLevel.DEBUGGING_LOG);\\n\\t\\tLogging.println(\\\"K=\\\"+K + \\\", eta=\\\" + eta + \\\", maxIter=\\\"+ maxIter, LogLevel.DEBUGGING_LOG);\\n\\t\\tLogging.println(\\\"lambdaW=\\\"+lambdaW + \\\", alpha=\\\"+ alpha, LogLevel.DEBUGGING_LOG);\\n\\t\\t\\n\\t\\t// set the labels to be binary 0 and 1, needed for the logistic loss\\n\\t\\tCreateOneVsAllTargets();\\n\\t\\t\\n\\t\\tRandom rand = new Random();\\n\\t\\t\\n\\t\\tL = new int[K];\\n\\t\\tfor(int k=0; k < K; k++)\\n\\t\\t\\tL[k] = rand.nextInt(Q);\\n\\t\\t\\n\\t\\t\\n\\t\\tLogging.println(\\\"Classes=\\\"+C, LogLevel.DEBUGGING_LOG);\\n\\t\\t\\n\\t\\t// initialize shapelets\\n\\t\\tInitializeShapeletsRandomly();\\n\\t\\t\\n\\t\\t// initialize weights\\n\\t\\tW = new double[C][K];\\n\\t\\tbiasW = new double[C];\\n\\t\\t\\n\\t\\t\\n\\t\\t// initialize the terms for pre-computation\\n\\t\\tD = new double[ITrain+ITest][K][];\\n\\t\\tE = new double[ITrain+ITest][K][];\\n\\t\\t\\n\\t\\tfor(int i = 0; i < ITrain+ITest; i++)\\n\\t\\t\\t\\tfor(int k = 0; k < K; k++)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tD[i][k] = new double[Q-L[k]+1];\\n\\t\\t\\t\\t\\tE[i][k] = new double[Q-L[k]+1];\\n\\t\\t\\t\\t}\\n\\t\\t\\n\\t\\tM = new double[ITrain+ITest][K];\\n\\t\\tPsi = new double[ITrain+ITest][K];\\t\\t \\n\\t\\tphi = new double[ITrain+ITest][C];\\n\\t\\t\\n\\t\\t\\n\\t\\t// store all the index and class indexes\\n\\t\\tidxPairs = new ArrayList<Integer>();\\n\\t\\tfor(int i = 0; i < ITrain; i++)\\n\\t\\t{\\n\\t\\t\\t\\tidxPairs.add(i);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tPreCompute(i); \\n\\t\\t}\\n\\t\\t\\n\\t\\n\\t\\t// shuffle the order\\n\\t\\tCollections.shuffle(idxPairs);\\n\\t\\t\\n\\t\\t\\t\\t\\n\\t\\tLogging.println(\\\"Initializations Completed!\\\", LogLevel.DEBUGGING_LOG);\\n\\t}\",\n \"public void testSetWeight()\\n {\\n WeightedKernel<Vector> instance = new WeightedKernel<Vector>();\\n assertEquals(WeightedKernel.DEFAULT_WEIGHT, instance.getWeight());\\n \\n double weight = RANDOM.nextDouble();\\n instance.setWeight(weight);\\n assertEquals(weight, instance.getWeight());\\n \\n weight = 0.0;\\n instance.setWeight(weight);\\n assertEquals(weight, instance.getWeight());\\n \\n weight = 4.7;\\n instance.setWeight(weight);\\n assertEquals(weight, instance.getWeight());\\n \\n boolean exceptionThrown = false;\\n try\\n {\\n instance.setWeight(-1.0);\\n }\\n catch ( IllegalArgumentException ex )\\n {\\n exceptionThrown = true;\\n }\\n finally\\n {\\n assertTrue(exceptionThrown);\\n }\\n \\n }\",\n \"public void setMatrixes(ButlerWeights weights) {\\n\\n\\tnumTags = weights.getNumTags();\\n\\tflatShelfs = weights.getShelfs();\\n\\tnumShelfs = flatShelfs.size();\\n\\tbrain = generateBrain(numTags, numShelfs);\\n\\n\\tbrain.getStructure().getSynapses().get(0).setMatrix(\\n\\t\\tweights.getWeights());\\n\\n\\tcurrentWeights = weights;\\n\\n\\tinitialized = true;\\n }\",\n \"private void initWeight(Exemplar ex) {\\t\\n int pos = 0, neg = 0, n = 0;\\n Exemplar cur = m_Exemplars;\\n if (cur == null){\\n ex.setPositiveCount(1);\\n ex.setNegativeCount(0);\\n return;\\n }\\n while(cur != null){\\n pos += cur.getPositiveCount();\\n neg += cur.getNegativeCount();\\n n++;\\n cur = cur.next;\\n }\\n ex.setPositiveCount(pos / n);\\n ex.setNegativeCount(neg / n);\\n }\",\n \"public Neuron(double[] weights) {\\n this.weights = weights;\\n this.updatedWeights = this.weights;\\n this.change = 0;\\n }\",\n \"@Override\\n public void setWeight(double w) {\\n this.weight = w;\\n\\n }\",\n \"public LearningBoardEvaluator(int numWeights) {\\n super(numWeights);\\n }\",\n \"public void setWeight(int weight){\\n\\t\\tthis.weight = weight;\\n\\t}\",\n \"public WeightedGraph() {\\n super();\\n }\",\n \"private void initialize() {\\r\\n // init hidden layers\\r\\n for (int i = 0; i < neurons.length; i++) {\\r\\n for (int j = 0; j < neurons[i].length; j++) {\\r\\n // create neuron\\r\\n Neuron n = new Neuron(i, bias, this);\\r\\n neurons[i][j] = n;\\r\\n Log.log(Log.DEBUG, \\\"Adding Layer \\\" + (i + 1) + \\\" Neuron \\\" + (j + 1));\\r\\n }\\r\\n }\\r\\n }\",\n \"public void setPredatorsWeights(double[] weights) {\\r\\n int k = 0;\\r\\n for (Predator predator : predators) {\\r\\n predator.setWeights(weights, k);\\r\\n if(controller == ControllerType.HETEROGENEO){\\r\\n k += (weights.length/predators.size());\\r\\n }\\r\\n }\\r\\n }\",\n \"private void initialize() {\\n\\t\\tScanner sc = new Scanner(System.in);\\n\\t\\tSystem.out.print(\\\"Enter number of items : \\\");\\n\\t\\tn = sc.nextInt(); // number of items\\n\\t\\tSystem.out.print(\\\"Enter W of knapsack : \\\");\\n\\t\\tW = sc.nextInt(); // capacity of knapsack\\n\\t\\tw = new int[n];\\n\\t\\tv = new int[n];\\n\\t\\tSystem.out.println(\\\"Enter ws and vs of items : \\\");\\n\\t\\tfor (int i = 0; i < n; i++) {\\n\\t\\t\\tw[i] = sc.nextInt(); // weight of item\\n\\t\\t\\tv[i] = sc.nextInt(); // profit of item\\n\\t\\t}\\n\\t\\tV = new int[n + 1][W + 1]; // initializing the table to hold results\\n\\t\\tfor (int i = 0; i <= W; i++)\\n\\t\\t\\tV[0][i] = 0;\\n\\t}\",\n \"public ConditionTargetWeight(int weight)\\n\\t{\\n\\t\\t_weight = weight;\\n\\t}\",\n \"public void setWeight(double weight) {\\r\\n this.weight = weight;\\r\\n }\",\n \"public void init(float[] bias_inp, float[] bias_out,\\n float[] bias_memin, float[] weight_memout,\\n float outputbias) {\\n cloneWeightMatrix();\\n }\",\n \"private void init() {\\r\\n\\tlocals = new float[maxpoints * 3];\\r\\n\\ti = new float[] {1, 0, 0};\\r\\n\\tj = new float[] {0, 1, 0};\\r\\n\\tk = new float[] {0, 0, 1};\\r\\n\\ti_ = new float[] {1, 0, 0};\\r\\n\\tk_ = new float[] {0, 0, 1};\\r\\n }\",\n \"public void setWeight(double weight){\\n\\t\\tthis.weight = weight;\\n\\t}\",\n \"public void setWeight(double weight) {\\n this.weight = weight;\\n }\",\n \"public WeightedAdjacencyGraph() {\\n this.vertices = new HashMap<>();\\n }\",\n \"protected void createWeightMatrix(Folksonomy trainingData) throws Exception\\n\\t{\\n\\t\\tint i, j, k;\\n\\t\\tint num_tag = trainingData.numTags();\\n\\t\\tint num_user = trainingData.numUsers();\\n\\t\\tint num_item = trainingData.numItems();\\n\\t\\tint num_temp, itemIndex, tagIndex;\\n\\t\\tUserTagProfile utp;\\n\\t\\tAnnotatedItem ai;\\n\\t\\tArrayList<Integer> tags;\\n\\t\\tweight_ti = new SparseMatrix(num_tag, num_item);\\n\\t\\tweight_ut = new SparseMatrix(num_user, num_tag);\\n\\t\\tint[] t_sum = new int[num_tag];\\n\\t\\tint[] u_sum = new int[num_user];\\n\\t\\tfor (i = 0; i < num_user; i++)\\n\\t\\t{\\n\\t\\t\\tutp = trainingData.getUserProfile(trainingData.getUserByIndex(i));\\n\\t\\t\\tnum_temp = utp.numItems();\\n\\t\\t\\tfor (j = 0; j < num_temp; j++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tai = utp.getAnnotatedItem(j);\\n\\t\\t\\t\\ttags = ai.getTags();\\n\\t\\t\\t\\titemIndex = trainingData.getItemIndex(ai.getItemId());\\n\\t\\t\\t\\tfor (k = 0; k < tags.size(); k++)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\ttagIndex = trainingData.getTagIndex(tags.get(k));\\n\\t\\t\\t\\t\\tt_sum[tagIndex] += 1;\\n\\t\\t\\t\\t\\tweight_ti.set(tagIndex, itemIndex,\\n\\t\\t\\t\\t\\t\\t\\tweight_ti.at(tagIndex, itemIndex) + 1);\\n\\t\\t\\t\\t\\tweight_ut.set(i, tagIndex, weight_ut.at(i, tagIndex) + 1);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tu_sum[i] += ai.numTags();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tfor (i = 0; i < num_tag; i++)\\n\\t\\t{\\n\\t\\t\\tfor (j = 0; j < num_item; j++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tif (weight_ti.containRowCol(i, j))\\n\\t\\t\\t\\t\\tweight_ti.set(i, j, weight_ti.at(i, j) / t_sum[i]);\\n\\t\\t\\t}\\n\\t\\t\\tfor (k = 0; k < num_user; k++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tif (weight_ut.containRowCol(k, i))\\n\\t\\t\\t\\t\\tweight_ut.set(k, i, weight_ut.at(k, i) / u_sum[k]);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"public WeightedAdjMatGraph(){\\n this.edges = new int[DEFAULT_CAPACITY][DEFAULT_CAPACITY];\\n this.n = 0;\\n this.vertices = (T[])(new Object[DEFAULT_CAPACITY]);\\n }\",\n \"public void setWeight(double weight){\\n\\t\\tthis._weight = weight;\\n\\t}\",\n \"private List<Weight> loadWeights() {\\n return mWeightDb.getWeights();\\n }\",\n \"public void setWeight(final int weight) {\\n this.weight = weight;\\n }\",\n \"public void setWeight(Integer weight) {\\n this.weight = weight;\\n }\",\n \"public static void main(String[] args) throws Exception {\\n\\t\\t// double[] w = evolveWeights();\\n\\t\\t// printWeights(w);\\n\\t\\tdouble[] myweights = { -2.21466955153828, -0.07474857363573262, -1.1749783341411326, 0.16397829193498464,\\n\\t\\t\\t\\t0.07131629649717008, 1.61328716208057, -2.641459977820003, -2.189110351161901, -0.20970779418672014,\\n\\t\\t\\t\\t1.4439418468883647, -0.2184717560493591, -1.5078991641372075, -0.4975766167697391, -0.02410194533351991,\\n\\t\\t\\t\\t-1.528121086508629, 0.4893670827264642, 0.24474596975099, -0.33381774735153213, -2.0197364115373686,\\n\\t\\t\\t\\t-2.285127694998558, -1.6102939758132773, -1.5170275119464784, 2.839569745070095, -2.2196308724273552,\\n\\t\\t\\t\\t-0.0212824892080149, 0.014455462339448166, -0.8294873147131405, -4.008294779402316, -1.6636632454217084,\\n\\t\\t\\t\\t-1.9129203960517205, 0.25183900782052027, -3.9328447788262255, 1.7493959642027366, 0.4956568965253274,\\n\\t\\t\\t\\t-0.07060668503545968, -1.0647141555175716, -2.5621340861527404, -0.5646708616200512,\\n\\t\\t\\t\\t-3.3199764295441483, -0.7423376302286884, -2.0759415442240625, 1.8468059487043376, 1.8301868662020766,\\n\\t\\t\\t\\t0.3265136721962445, 0.2963634372088102, -1.570986722570204, 0.030502603573360328, 1.4024108876313992,\\n\\t\\t\\t\\t-0.14772072123156077, 1.4790013912446605, -0.19399829641453603, 0.025796871304820657,\\n\\t\\t\\t\\t-1.7353744443081178, -0.7774882870945194, -0.8864079092655823, 0.01860475661039064,\\n\\t\\t\\t\\t-0.38816929845666215, 5.433590999656766, -0.7039983033363961, 1.1052189890385327, -0.6337678641299205,\\n\\t\\t\\t\\t2.577846157879395, -1.6954645339963452, -3.3151515029911014, -0.5905535947937579, -3.208862197909249,\\n\\t\\t\\t\\t0.3533810265008289, -0.014479467387126133, -0.4997747691476975, 0.17895696721499255, 0.7889684353058366,\\n\\t\\t\\t\\t0.6640692831578959, -1.7362432877961986, 2.4182626823702855, 1.2843792391756987, 1.9815093968825601,\\n\\t\\t\\t\\t-0.30220651427285306, 0.7436105113169372, 1.0680163086014036, 1.7517072771957438, 1.2282614956016236,\\n\\t\\t\\t\\t-4.1695808227962035, 0.5978930687432595, -1.5020444810097677, 1.2212439971243139, -3.2648411343496164,\\n\\t\\t\\t\\t0.6909710728147561, -1.3070485527971965, -2.028589199427193, -1.2316367055137034, -1.1776549704837918,\\n\\t\\t\\t\\t3.0932207527724955, 0.09163042597406289, 0.14951497594494684, 3.4362942167755, -0.5107751983055535,\\n\\t\\t\\t\\t1.4777997649386783, -1.6160308476702507, -0.7331259806111848, 2.6279925296341906, -1.7722891199616801,\\n\\t\\t\\t\\t-2.632229462809496, 0.44428581550083274, 1.6278865636527509, -0.0329347232073198, -2.918867540199039,\\n\\t\\t\\t\\t0.9628195606239641, -2.156481296002708, -1.056790342242603, -2.2556629595171356, -0.9553204054731589,\\n\\t\\t\\t\\t2.413880737785754, -0.9992245987211152, 0.9108199628723169, -1.134380039817171, -1.0116006672645148,\\n\\t\\t\\t\\t-0.5854694644938652, -3.8446665938925046, 3.232988970599319, -0.05839122943338931, -0.12200406901238987,\\n\\t\\t\\t\\t-1.1970864247655226, -1.7736651076674108, 3.2042060881784344, -0.06681900340608203, 0.6095617884784129,\\n\\t\\t\\t\\t2.6621135698954426, -1.9808653269739094, 2.4179303951852247, -0.1020298670663256, 0.8455422105561868,\\n\\t\\t\\t\\t-0.6172016676389036, 1.5106799954170962, 0.22045980127688758, -0.32315411146978057, 0.3521551186665719,\\n\\t\\t\\t\\t-1.376041285561516, -0.5007424056636434, 1.361180226793381, 0.5485767449283305, 0.4822090152603501,\\n\\t\\t\\t\\t0.0035720899920257954, 0.20198792489462591, 2.9637620623310696, 0.746515676821096, 1.33314607227669,\\n\\t\\t\\t\\t1.7880569950236676, 0.24310824088346455, -0.7720019287108711, 0.2770938718675544, -0.002821079170251539,\\n\\t\\t\\t\\t0.6432076089386127, -2.080883646553964, -2.2316867814270336, -0.8152503328954235, 0.07666991930368347,\\n\\t\\t\\t\\t0.7994585307407924, 4.040588645491936, 3.293290177485252, -0.6587327188020271, -0.2608808875988929,\\n\\t\\t\\t\\t0.9747677475984142, 2.398983410951306, -0.6437438305433649, 0.02124428359002813, 1.5585328640214078,\\n\\t\\t\\t\\t-0.301679640295372, -1.6053388324773985, 0.24993532845039462, 0.24408970961912746, 2.425260721978244,\\n\\t\\t\\t\\t-0.8068206244484942, 0.05105476442114232, 0.6059510612060248, -3.2193288600922187, -3.631848243294158,\\n\\t\\t\\t\\t1.4240768232681529, -1.7707952765701727, 1.2344743497386608, 2.4338900468729023, 0.43014199440688067,\\n\\t\\t\\t\\t0.20816791679939328, 1.4989715392344287, 0.13455171261820276, 1.0621048796860084, 0.9728863685939746,\\n\\t\\t\\t\\t-3.9871305903296723, 0.6897219833391851, -1.098819235411824, -0.5984492289686463, -2.303924190561265,\\n\\t\\t\\t\\t1.1193184751481047, -1.0328499504466768, -0.8910211970908617, 0.9946509861991504, -0.6898892448411882,\\n\\t\\t\\t\\t-0.43356416305497014, 0.054783696872076626, 0.233434394673659, 3.225842335938765, 3.297560597443148,\\n\\t\\t\\t\\t-0.9815414837749732, -1.5241431138614758, 0.2003787279485732, -0.6881136445150136, 3.4238717049813934,\\n\\t\\t\\t\\t0.003453173792474847, -0.8061218778816472, -0.4402066310426072, -1.636723071030285, 3.163218840903199,\\n\\t\\t\\t\\t0.5100537731772297, -1.103269998723354, -0.7879470972745664, -2.236992460857296, -2.1393375184180212,\\n\\t\\t\\t\\t-1.1548394915305815, -2.280645418548106, 0.6909647906413796, -0.8314321184642959, -3.2122142779955563,\\n\\t\\t\\t\\t0.37452253354430365, -0.7849739993770579, 0.3504279749557794, -1.0540725377016087, 0.041950910604904586,\\n\\t\\t\\t\\t0.8784481358277388, -0.14974538330350365, 1.559727397979539, -0.6605219061003249, 3.622853835751025,\\n\\t\\t\\t\\t1.7401420193245865, 1.220309981802207, -0.22257446946377682, -0.7746021595685124, -1.117421721755124,\\n\\t\\t\\t\\t-0.9138705765688842, 0.14610649511784396, -0.7526008992175952, 0.10653763536360544,\\n\\t\\t\\t\\t-0.06514332909119891, -0.2097381331142011, -1.0529132828316619, 2.1798628015621757, -0.3091083139673463,\\n\\t\\t\\t\\t0.8577372690910885, 1.6985927086198869, 0.4634835727447051, 0.03566063568597455, -0.13895025188806187,\\n\\t\\t\\t\\t0.8498827214996195, -0.9091546683669671, 1.3826935600107073, -0.8152255589205574, 1.7274291860876136,\\n\\t\\t\\t\\t0.786497013333733, 1.6227793753957989, 0.7876476663994035, 2.157300684833067, -0.09447665526454312,\\n\\t\\t\\t\\t-2.11514518468542, -1.089786880457046, -0.1570647222609598, 0.743643370603463, -0.4237412616449528,\\n\\t\\t\\t\\t2.38254290787229, 5.305775057877128, 1.8737860414844345, -1.8325132176577972, 2.5427149426139777,\\n\\t\\t\\t\\t0.6923303547353667, -1.1867898040888405, 2.584322135207721, 1.9779450607594122, -0.8178488064297246,\\n\\t\\t\\t\\t1.9581575076866673, -0.2412475645390626, 1.2870350743909154, 0.2570224449276464, -4.092909749196866,\\n\\t\\t\\t\\t3.898874605498058, -0.16220823886347796, 0.2634423746472414, -2.5921511819647276, -0.29329004951913773,\\n\\t\\t\\t\\t-3.485083266813694, 3.5670785842138093, 0.7244265147251102, -0.0029356664095335516, 1.4901040035846655,\\n\\t\\t\\t\\t2.8999162174147775 };\\n\\n\\t\\tController.doBattle(new ReflexAgent(), new NeuralAgent(myweights));\\n\\t\\t// System.out.print(win_Collection[]);\\n\\t}\",\n \"protected abstract void updateWeightsSpecific(double ni);\",\n \"public WeightedInstances(Instances paraInstances) {\\n\\t\\tsuper(paraInstances);\\n\\t\\tsetClassIndex(numAttributes() - 1);\\n\\n\\t\\t// Initialize weights\\n\\t\\tweights = new double[numInstances()];\\n\\t\\tdouble tempAverage = 1.0 / numInstances();\\n\\t\\tfor (int i = 0; i < weights.length; i++) {\\n\\t\\t\\tCommon.runSteps ++;\\n\\t\\t\\tweights[i] = tempAverage;\\n\\t\\t} // Of for i\\n\\t\\tSimpleTools.variableTrackingOutput(\\\"Instances weights are: \\\" + Arrays.toString(weights));\\n\\t}\",\n \"public void setWeight(double weight) {\\n\\t\\tthis.weight = weight;\\n\\t}\",\n \"void reinitialize(double nodeRadius, boolean weighted){\\n /* see constructor method for body description*/\\n\\n double vectorX = x2 - x1;\\n double vectorY = y2 - y1;\\n double length = Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1));\\n vectorX /= length;\\n vectorY /= length;\\n\\n x1 += (nodeRadius + 2) * vectorX;\\n y1 += (nodeRadius + 2) * vectorY;\\n x2 -= (nodeRadius + 2) * vectorX;\\n y2 -= (nodeRadius + 2) * vectorY;\\n\\n mainLine = new Line(x1, y1, x2, y2);\\n mainLine.setStrokeWidth(3);\\n\\n double xWproj = -ARROW_WING * vectorX;\\n double yWproj = -ARROW_WING * vectorY;\\n double x = xWproj * COS_WING - yWproj * SIN_WING;\\n double y = xWproj * SIN_WING + yWproj * COS_WING;\\n firstWing = new Line(x2, y2, x2 + x, y2 + y);\\n firstWing.setStrokeWidth(2);\\n\\n x = xWproj * COS_WING + yWproj * SIN_WING;\\n y = -xWproj * SIN_WING + yWproj * COS_WING;\\n secondWing = new Line(x2, y2, x2 + x, y2 + y);\\n secondWing.setStrokeWidth(2);\\n\\n if (((vectorX >= 0) && (vectorY >= 0))\\n || ((vectorX <= 0) && (vectorY <= 0))) {\\n weightText = new Text((x1 + x2) / 2., (y1 + y2) / 2., String.format(\\\"%.2f\\\", weight));\\n }\\n else {\\n weightText = new Text((x1 + x2) / 2. - 30, (y1 + y2) / 2., String.format(\\\"%.2f\\\", weight));\\n }\\n\\n weightText.setFont(new Font(15));\\n weightText.setFill(TEXT_COLOR);\\n weightText.setStroke(Color.BLACK);\\n weightText.setStrokeWidth(0.5);\\n if (!weighted){\\n firstWing.setVisible(false);\\n secondWing.setVisible(false);\\n weightText.setVisible(false);\\n }\\n\\n initialized = true;\\n }\",\n \"public int weight ();\",\n \"private void trainOnSamples() {\\n for (Sample sample : samples) {\\n double sum = 0;\\n \\n for (int i = 0; i < weights.length; i++) { //calculating w1.x1 + w2.x2 + ... \\n sum += weights[i] * sample.getP()[i];\\n }\\n sum += bias; //adding bias to the sum\\n\\n if (!compareOutput(sum, sample)) { //compare network & target output\\n //updating the weights\\n for (int i = 0; i < weights.length; i++) {\\n weights[i] += sample.getTarget() * sample.getP()[i];\\n }\\n //updating the bias\\n bias += sample.getTarget();\\n sample.setValidation(false);\\n } else {\\n sample.setValidation(true);\\n }\\n }\\n }\",\n \"public void setWeight(Double weight) {\\n this.weight = weight;\\n }\",\n \"@Override\\r\\n\\tpublic void setWeight(double weight) {\\n\\t\\t\\r\\n\\t}\",\n \"public void setWeights(double ACC, double ARM, double EVA, double HP, double INT,\\n\\t\\t\\tdouble LCK, double MAG, double MRE, double STR, double SP)\\n\\t{\\n\\t\\tthis.statWeights = new double[10];\\n\\t\\tstatWeights[0] = ACC;\\n\\t\\tstatWeights[1] = ARM;\\n\\t\\tstatWeights[2] = EVA;\\n\\t\\tstatWeights[3] = HP;\\n\\t\\tstatWeights[4] = INT;\\n\\t\\tstatWeights[5] = LCK;\\n\\t\\tstatWeights[6] = MAG;\\n\\t\\tstatWeights[7] = MRE;\\n\\t\\tstatWeights[8] = STR;\\n\\t\\tstatWeights[9] = SP;\\n\\t}\",\n \"public WGraph_DS()\\n {\\n modeCount=0;\\n edges=0;\\n HashMap<Integer,node_info>nodesHash=new HashMap<>();\\n HashMap<Integer,Neighbors>edgesHash=new HashMap<>();\\n }\",\n \"@Override\\n\\tpublic void setWeight(final double weight) {\\n\\n\\t}\",\n \"Weighting(InteractingLattice self) {\\n _from = self;\\n _to = self;\\n _weights = new double[self.latticeSize()][self.latticeSize()];\\n _isInteracting = true;\\n }\",\n \"private void trainPerceptrons(){\\n double activationValues[] = new double[4];\\n for(Image image:asciiReader.getTrainingImages()){\\n for (int j = 0 ; j < activationValues.length; j++){\\n activationValues[j] = activationFunction\\n .apply(sumWeights(j,image));\\n }\\n adjustWeights(activationValues,image);\\n }\\n }\",\n \"public void adjustWeightsTest() {\\n\\t\\tboolean[] tempCorrectArray = new boolean[numInstances()];\\n\\t\\tfor (int i = 0; i < tempCorrectArray.length / 2; i++) {\\n\\t\\t\\ttempCorrectArray[i] = true;\\n\\t\\t} // Of for i\\n\\n\\t\\tdouble tempWeightedError = 0.3;\\n\\n\\t\\tadjustWeights(tempCorrectArray, tempWeightedError);\\n\\n\\t\\tSystem.out.println(\\\"After adjusting\\\");\\n\\n\\t\\tSystem.out.println(toString());\\n\\t}\",\n \"public void addWeight(){\\n\\t\\tweight++;\\n\\t}\",\n \"public void setWeight(float value) {\\n this.weight = value;\\n }\",\n \"public void setWeight(int weight) {\\n\\t\\tif (weight > 0) {\\n\\t\\t\\tthis.weight = weight;\\n\\t\\t} else {\\n\\t\\t\\tthis.weight = 0;\\n\\t\\t}\\n\\t}\",\n \"private void initiateWordCount(){\\n for(String key: DataModel.bloomFilter.keySet()){\\n WordCountHam.put(key, 0);\\n WordCountSpam.put(key, 0);\\n }\\n }\",\n \"private void init() {\\n\\t\\tthis.model = ModelFactory.createOntologyModel(OntModelSpec.OWL_MEM);\\n\\t\\tthis.model.setNsPrefixes(INamespace.NAMSESPACE_MAP);\\n\\n\\t\\t// create classes and properties\\n\\t\\tcreateClasses();\\n\\t\\tcreateDatatypeProperties();\\n\\t\\tcreateObjectProperties();\\n\\t\\t// createFraktionResources();\\n\\t}\",\n \"public Weight[] getWeights() {\\n return weights;\\n }\",\n \"void init() {\\r\\n \\tfor (int i=0; i<SIZE; i++) {\\r\\n \\t\\tfor (int j=0; j<LEN; j++) {\\r\\n \\t\\t\\tif (rnd.nextDouble() < 0.5)\\r\\n \\t\\t\\t\\toldpop[i][j] = 0;\\r\\n \\t\\t\\telse\\r\\n \\t\\t\\t\\toldpop[i][j] = 1;\\r\\n \\t\\t}\\r\\n \\t}\\r\\n \\tfor (int j=0; j<LEN; j++) {\\r\\n \\t\\tcbest[j] = oldpop[0][j];\\r\\n \\t}\\r\\n\\t\\tbest = fitness(0);\\r\\n }\",\n \"public IdealWeightCalculator() {\\n initComponents();\\n }\",\n \"@Override\\r\\n public void init(weighted_graph g) {\\r\\n this.Graph = g;\\r\\n }\",\n \"public void setWeight(final double pWeight){this.aWeight = pWeight;}\",\n \"public int weight() {\\n \\treturn weight;\\n }\",\n \"public void setConvolutionalWeights(double[][][][][] weights) {\\n this.convolutionalWeights = weights;\\n }\",\n \"public void setWeight(int i, int j, double w) {\\n if (this.n == -1 || this.m == -1) {\\n throw new IllegalStateException(\\\"Graph size not specified.\\\");\\n }\\n if ((i < 0) || (i >= this.n)) {\\n throw new IllegalArgumentException(\\\"i-value out of range: \\\" + i);\\n }\\n if ((j < 0) || (j >= this.m)) {\\n throw new IllegalArgumentException(\\\"j-value out of range: \\\" + j);\\n }\\n if (Double.isNaN(w)) {\\n throw new IllegalArgumentException(\\\"Illegal weight: \\\" + w);\\n }\\n\\n this.weights[i][j] = w;\\n if ((w > Double.NEGATIVE_INFINITY) && (w < this.minWeight)) {\\n this.minWeight = w;\\n }\\n if (w > this.maxWeight) {\\n this.maxWeight = w;\\n }\\n }\",\n \"void initialise() {\\n this.sleep = false;\\n this.owner = this;\\n renewNeighbourClusters();\\n recalLocalModularity();\\n }\",\n \"public void random_initialize_ss()\\r\\n\\t{\\r\\n//\\t\\tMersenneTwister mt = new MersenneTwister(10); //set seed\\r\\n\\t\\tRandom rand = new Random(); \\r\\n\\t\\tint k, n;\\r\\n\\t\\tfor (k = 0; k < num_topics; k++)\\r\\n\\t {\\r\\n\\t for (n = 0; n < num_terms; n++)\\r\\n\\t {\\r\\n\\t class_word[k][n] += 1.0/num_terms + rand.nextDouble();\\r\\n\\t class_total[k] += class_word[k][n];\\r\\n\\t }\\r\\n\\t }\\r\\n\\t}\",\n \"abstract void setWeight(int i, int j, Double weight);\",\n \"public void trainWeights(int numEpochs, int player, int winner) {\\n // Will be using the boardStates member which has already encoded the\\n // boards on the path to the endgame.\\n // The board states must now be fit to a reinforcement learning curve.\\n double[][] trainingOutput = new double[stateCount][1]; // this is the total output (useful if using an ANN).\\n double nn_i_succ = 0.0;\\n double nn_i = 0.0;\\n\\n //REALLY IMPORTANT: Training is from the perspective of the black player, so if black lost, training will\\n //use negative values. If black won, it will be trained with positive values. This must be kept in mind\\n //when querying the features for values!\\n\\n //every other value depends on this one.\\n for (int i=stateCount-1; i>=0; i--) {\\n //for convenience get the value of the nn at boardStates[i] and boardStates[i+1]\\n if (i == stateCount-1) {\\n if (winner == LOABoard.PLAYER_BLACK)\\n nn_i_succ = 1;\\n else if (winner == LOABoard.PLAYER_WHITE)\\n nn_i_succ = -1;\\n else // Draw\\n nn_i_succ = 0;\\n } else {\\n nn_i_succ = DISCOUNT_FACTOR * nn_i;\\n }\\n\\n nn_i = 0;\\n for ( int j = 0; j < numberOfWeights; j++ )\\n nn_i += boardStates[i][j] * weights[j];\\n\\n trainingOutput[i][0] = nn_i + LEARNING_RATE*(nn_i_succ-nn_i);\\n\\n for (int j=0; j< numberOfWeights; j++) {//each epoch involves training on every board state in the game\\n weights[j] = weights[j] + LEARNING_RATE*(nn_i_succ-nn_i)*boardStates[i][j];\\n }//for j\\n }//for i\\n\\n ////begin debug\\n//\\t System.out.println(\\\"Debug Message: Displaying array trainingOutput (after fit to TD learning curve) \\\" + stateCount);\\n//\\t for (int debug =0; debug < trainingOutput.length; debug++) {\\n//\\t\\tSystem.out.println(trainingOutput[debug][0]);\\n// }\\n ////done debug\\n\\n System.out.println(\\\"Debug Message: Displaying weights array after update.\\\");\\n for (int i = 0; i < numberOfWeights; i++) {\\n System.out.println(weights[i]);\\n }\\n\\n System.out.println(\\\"Info Message: Done training weights on results from game.\\\");\\n }\",\n \"public Solution(int[] w) {\\n // get a Random instance\\n random = new Random();\\n\\n // fulfill weightPrefixSum array\\n int len = w.length;\\n weightPrefixSum = new int[len];\\n weightPrefixSum[0] = w[0];\\n for(int i = 1; i < w.length; i++){\\n weightPrefixSum[i] = weightPrefixSum[i-1] + w[i];\\n }\\n }\",\n \"public void setWeight(String weight) {\\n this.weight = weight;\\n }\",\n \"public LinearNeuron(double[] weights)\\n\\t{\\n\\t\\tsuper(weights);\\n\\t}\",\n \"@Override\\n\\tpublic void init(directed_weighted_graph g) {\\n\\t\\tthis.dwg = g;\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.81542104","0.8128597","0.7707981","0.73265034","0.727954","0.7138505","0.71333426","0.71264815","0.7119486","0.6998359","0.69304943","0.691575","0.691242","0.68765604","0.6794131","0.67108905","0.6677685","0.66750383","0.66552925","0.664868","0.66437644","0.66222924","0.65989476","0.6577177","0.65669745","0.64498633","0.64466786","0.64465237","0.6438951","0.642629","0.6415291","0.64139706","0.63665986","0.63634485","0.63373125","0.63336265","0.63215303","0.63204205","0.63127726","0.6310846","0.6310681","0.62734306","0.6269481","0.6254489","0.6239109","0.6234231","0.62281746","0.622581","0.621819","0.6206512","0.6192541","0.619003","0.61703557","0.615913","0.6154799","0.6143253","0.6112291","0.61108756","0.6083432","0.606219","0.6058861","0.604821","0.6032213","0.60197216","0.60182023","0.601621","0.5976995","0.59680855","0.5959541","0.59591687","0.59558874","0.59492433","0.59447974","0.5944317","0.59422374","0.5932986","0.58951527","0.5870667","0.58633983","0.58428574","0.5835837","0.5826606","0.5818882","0.58165187","0.5813938","0.58082926","0.58056355","0.57950944","0.5790795","0.5788458","0.57881045","0.5780421","0.5774682","0.5770839","0.57638377","0.5760899","0.5756894","0.5748993","0.5747354","0.573341"],"string":"[\n \"0.81542104\",\n \"0.8128597\",\n \"0.7707981\",\n \"0.73265034\",\n \"0.727954\",\n \"0.7138505\",\n \"0.71333426\",\n \"0.71264815\",\n \"0.7119486\",\n \"0.6998359\",\n \"0.69304943\",\n \"0.691575\",\n \"0.691242\",\n \"0.68765604\",\n \"0.6794131\",\n \"0.67108905\",\n \"0.6677685\",\n \"0.66750383\",\n \"0.66552925\",\n \"0.664868\",\n \"0.66437644\",\n \"0.66222924\",\n \"0.65989476\",\n \"0.6577177\",\n \"0.65669745\",\n \"0.64498633\",\n \"0.64466786\",\n \"0.64465237\",\n \"0.6438951\",\n \"0.642629\",\n \"0.6415291\",\n \"0.64139706\",\n \"0.63665986\",\n \"0.63634485\",\n \"0.63373125\",\n \"0.63336265\",\n \"0.63215303\",\n \"0.63204205\",\n \"0.63127726\",\n \"0.6310846\",\n \"0.6310681\",\n \"0.62734306\",\n \"0.6269481\",\n \"0.6254489\",\n \"0.6239109\",\n \"0.6234231\",\n \"0.62281746\",\n \"0.622581\",\n \"0.621819\",\n \"0.6206512\",\n \"0.6192541\",\n \"0.619003\",\n \"0.61703557\",\n \"0.615913\",\n \"0.6154799\",\n \"0.6143253\",\n \"0.6112291\",\n \"0.61108756\",\n \"0.6083432\",\n \"0.606219\",\n \"0.6058861\",\n \"0.604821\",\n \"0.6032213\",\n \"0.60197216\",\n \"0.60182023\",\n \"0.601621\",\n \"0.5976995\",\n \"0.59680855\",\n \"0.5959541\",\n \"0.59591687\",\n \"0.59558874\",\n \"0.59492433\",\n \"0.59447974\",\n \"0.5944317\",\n \"0.59422374\",\n \"0.5932986\",\n \"0.58951527\",\n \"0.5870667\",\n \"0.58633983\",\n \"0.58428574\",\n \"0.5835837\",\n \"0.5826606\",\n \"0.5818882\",\n \"0.58165187\",\n \"0.5813938\",\n \"0.58082926\",\n \"0.58056355\",\n \"0.57950944\",\n \"0.5790795\",\n \"0.5788458\",\n \"0.57881045\",\n \"0.5780421\",\n \"0.5774682\",\n \"0.5770839\",\n \"0.57638377\",\n \"0.5760899\",\n \"0.5756894\",\n \"0.5748993\",\n \"0.5747354\",\n \"0.573341\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7032861"},"document_rank":{"kind":"string","value":"9"}}},{"rowIdx":32580,"cells":{"query":{"kind":"string","value":"Basic contract on ESB Agent class. It is the class that will (1) create an asynchronous ProvaCommunicator; (2) implement send to allow a Prova agent to send goals as messages via bus; (3) accept messages from the bus and use ProvaCommunicator.add() to queue these messages on the agent."},"document":{"kind":"string","value":"public interface ProvaAgent {\n\n void receive(ProvaList terms) throws Exception;\n\n void send(String dest, ProvaList terms) throws Exception;\n\n String getAgentName();\n\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public interface IPSAgent\n{\n /**\n * This method is the first one to be called by the Agent Manager just after\n * instantiating the implementing class object. This is called only once in\n * the object's life cycle.\n * @param configData - DOM Element representing the configuration data\n * defined in the configuration file. The implementor dictates the DTD for\n * the element depending on what he needs.\n * @throws PSAgentException if initialization fails for any reason\n */\n void init(Element configData) throws PSAgentException;\n\n /**\n * This method is the engine of the agent and called any time a service from\n * this agent is requested by the Agent Manager.\n * @param action - name of the action to be excuted by the agent.\n * @param params - Map (name, value pairs) of all parameters from the\n * request\n * @param response <code>IPSAgentHandlerResponse</code> object that can be\n * used to set the results of execution of the action. If the requested\n * action is not implmented or enough parameters are not supplied to execute\n * the action, the result can be set to error.\n */\n void executeAction(String action, Map params,\n IPSAgentHandlerResponse response);\n\n /**\n * This method is called by the Agent Manager while shuttingdown. May be\n * used to do any cleaning.\n */\n void terminate();\n}","protected abstract RemoteFactory.Agent<Msg, Ref> make_Agent();","public void contractNet(ACLMessage msg) {\n\t\taddBehaviour(new ContractNetInitiator(this, msg) {\n\n\t\t\tprotected void handlePropose(ACLMessage propose, Vector v) {\n\t\t\t\tSystem.out.println(\"Agent \" + propose.getSender().getLocalName() + \" proposed \" + propose.getContent());\n\t\t\t}\n\n\t\t\tprotected void handleRefuse(ACLMessage refuse) {\n\t\t\t\tSystem.out.println(\"Agent \" + refuse.getSender().getLocalName() + \" refused\");\n\t\t\t}\n\n\t\t\tprotected void handleFailure(ACLMessage failure) {\n\t\t\t\tif (failure.getSender().equals(myAgent.getAMS())) {\n\t\t\t\t\t// FAILURE notification from the JADE runtime: the receiver\n\t\t\t\t\t// does not exist\n\t\t\t\t\tSystem.out.println(\"Responder does not exist\");\n\t\t\t\t} else {\n\t\t\t\t\tSystem.out.println(\"Agent \" + failure.getSender().getLocalName() + \" failed\");\n\t\t\t\t}\n\t\t\t\t// Immediate failure --> we will not receive a response from this agent\n\t\t\t\tnResponders--;\n\t\t\t}\n\n\t\t\tprotected void handleAllResponses(Vector responses, Vector acceptances) {\n\t\t\t\tif (responses.size() < nResponders) {\n\t\t\t\t\t// Some responder didn't reply within the specified timeout\n\t\t\t\t\tSystem.out.println(\"Timeout expired: missing \" + (nResponders - responses.size()) + \" responses\");\n\t\t\t\t}\n\n\t\t\t\t// Evaluate proposals.\n\t\t\t\t// Consider that the offer is an int ratio of an importance combination\n\t\t\t\t// of time, money, distance or whatever.\n\t\t\t\tint bestProposal = -1;\n\t\t\t\tAID bestProposer = null;\n\t\t\t\tACLMessage accept = null;\n\t\t\t\tEnumeration e = responses.elements();\n\t\t\t\twhile (e.hasMoreElements()) {\n\t\t\t\t\tACLMessage msg = (ACLMessage) e.nextElement();\n\t\t\t\t\tif (msg.getPerformative() == ACLMessage.PROPOSE) {\n\t\t\t\t\t\tACLMessage reply = msg.createReply();\n\t\t\t\t\t\treply.setPerformative(ACLMessage.REJECT_PROPOSAL);\n\t\t\t\t\t\tacceptances.addElement(reply);\n\t\t\t\t\t\tint proposal = Integer.parseInt(msg.getContent());\n\t\t\t\t\t\tSystem.out.println(\"THE PROPOSAL IS \" + proposal);\n\t\t\t\t\t\tif (proposal > bestProposal) {\n\t\t\t\t\t\t\tbestProposal = proposal;\n\t\t\t\t\t\t\tbestProposer = msg.getSender();\n\t\t\t\t\t\t\taccept = reply;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Accept the proposal of the best proposer\n\t\t\t\tif (accept != null) {\n\t\t\t\t\tSystem.out.println(\n\t\t\t\t\t\t\t\"Accepting proposal \" + bestProposal + \" from responder \" + bestProposer.getLocalName());\n\t\t\t\t\taccept.setPerformative(ACLMessage.ACCEPT_PROPOSAL);\n\t\t\t\t\tassignment();\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tprivate void assignment() {\n\t\t\t\t// TODO Auto-generated method stub\n\n\t\t\t}\n\n\t\t\tprotected void handleInform(ACLMessage inform) {\n\t\t\t\tSystem.out.println(\n\t\t\t\t\t\t\"Agent \" + inform.getSender().getLocalName() + \" successfully performed the requested action\");\n\t\t\t}\n\t\t});\n\t}","public interface AgentHost\r\n extends Remote\r\n{\r\n /**\r\n * Sends a message.\r\n *\r\n * If the specified agent is no longer hosted by this agent host,\r\n * the agent host will attempt to locate it.\r\n *\r\n * @parameter agenthost is the sending agent host.\r\n *\r\n * @throws MessageFailedException if the message dispatch failed --\r\n * either because the host rejected the dispatch, or the\r\n * dispatch failed for some other reason.\r\n *\r\n * @throws AgentNotFoundException if the specified agent did not\r\n * exist on the specified host.\r\n *\r\n * @throws RemoteException if something unexpected happened during\r\n * the remote method invocation.\r\n *\r\n */\r\n\r\n public Response\r\n sendMessage(AgentHost agenthost,\r\n Voucher voucher,\r\n AgentIdentity agentidentity,\r\n Message message)\r\n throws MessageFailedException,\r\n AgentNotFoundException,\r\n RemoteException;\r\n\r\n /**\r\n * Requests that an agent transfer occur.\r\n *\r\n * A remote host calls this method on behalf of an agent and\r\n * requests the local host transfer the agent.\r\n *\r\n * A transfer occurs as follows:\r\n *\r\n * <OL>\r\n * <LI>the local host invokes the <CODE>beginTransfer()</CODE>\r\n * method on the remote host\r\n * <LI>the local host invokes the <CODE>transferResourceFile()</CODE>\r\n * method on the remote host\r\n * <LI>the local host invokes the <CODE>transferDataFile()</CODE>\r\n * method on the remote host\r\n * <LI>the local host invokes the <CODE>endTransfer()</CODE>\r\n * method on the remote host\r\n * </OL>\r\n *\r\n * @parameter agenthost the agent host originating the request.\r\n *\r\n * @throws IOException if problems occurred while serializing the\r\n * data.\r\n *\r\n * @throws IllegalAccessException if a class or initializer was not\r\n * accessible.\r\n *\r\n * @throws InstantiationException if the agent tried to instantiate\r\n * an abstract class or an interface, or if the instantiation\r\n * failed for some other reason.\r\n *\r\n * @throws ClassNotFoundException if a required class could not be\r\n * found.\r\n *\r\n * @throws TransferFailedException if the local host attempted the\r\n * transfer but it failed -- either because the specified\r\n * host couldn't be found, the specified host rejected the\r\n * transfer, or the transfer failed for some other reason.\r\n *\r\n * @throws AgentNotFoundException if the specified agent did not\r\n * exist on the specified host.\r\n *\r\n * @throws RemoteException if something unexpected happened during\r\n * the remote method invocation.\r\n *\r\n */\r\n\r\n public void\r\n requestToTransfer(AgentHost agenthost,\r\n Voucher voucher,\r\n AgentIdentity agentidentity)\r\n throws IOException,\r\n IllegalAccessException,\r\n InstantiationException,\r\n ClassNotFoundException,\r\n TransferFailedException,\r\n AgentNotFoundException,\r\n AgentDefinitionException,\r\n RemoteException;\r\n\r\n /**\r\n * Begins a transfer.\r\n *\r\n * @throws IOException if problems occurred while serializing the\r\n * data.\r\n *\r\n * @throws TransferFailedException if the transfer failed -- either\r\n * because the remote host rejected the transfer, or the\r\n * transfer failed for some other reason.\r\n *\r\n * @throws AgentNotFoundException if the specified agent did not\r\n * exist on the specified host.\r\n *\r\n * @throws RemoteException if something unexpected happened during\r\n * the remote method invocation.\r\n *\r\n * @see endTransfer\r\n *\r\n */\r\n\r\n public void\r\n beginTransfer(Voucher voucher,\r\n AgentIdentity agentidentity)\r\n throws IOException,\r\n TransferFailedException,\r\n AgentNotFoundException,\r\n RemoteException;\r\n\r\n /**\r\n * Ends a transfer.\r\n *\r\n * @throws IOException if problems occurred while serializing the\r\n * data.\r\n *\r\n * @throws TransferFailedException if the transfer failed -- either\r\n * because the remote host rejected the transfer, or the\r\n * transfer failed for some other reason.\r\n *\r\n * @throws AgentNotFoundException if the specified agent did not\r\n * exist on the specified host.\r\n *\r\n * @throws RemoteException if something unexpected happened during\r\n * the remote method invocation.\r\n *\r\n * @see beginTransfer\r\n *\r\n */\r\n\r\n public void\r\n endTransfer(Voucher voucher,\r\n AgentIdentity agentidentity)\r\n throws IOException,\r\n TransferFailedException,\r\n AgentNotFoundException,\r\n RemoteException;\r\n\r\n /**\r\n * Transfers the agent's resource file.\r\n *\r\n * The local host calls this method to transfer an agent's resource\r\n * file from the remote host to the local host.\r\n *\r\n * @throws IOException if problems occurred while serializing the\r\n * data.\r\n *\r\n * @throws TransferFailedException if the transfer failed -- either\r\n * because the remote host rejected the transfer, or the\r\n * transfer failed for some other reason.\r\n *\r\n * @throws AgentNotFoundException if the specified agent did not\r\n * exist on the specified host.\r\n *\r\n * @throws RemoteException if something unexpected happened during\r\n * the remote method invocation.\r\n *\r\n * @see requestToTransfer\r\n *\r\n */\r\n\r\n public byte []\r\n transferResourceFile(Voucher voucher,\r\n AgentIdentity agentidentity)\r\n throws IOException,\r\n TransferFailedException,\r\n AgentNotFoundException,\r\n RemoteException;\r\n\r\n /**\r\n * Transfers the agent's data file.\r\n *\r\n * The local host calls this method to transfer an agent's data\r\n * file from the remote host to the local host.\r\n *\r\n * @throws IOException if problems occurred while serializing the\r\n * data.\r\n *\r\n * @throws TransferFailedException if the transfer failed -- either\r\n * because the remote host rejected the transfer, or the\r\n * transfer failed for some other reason.\r\n *\r\n * @throws AgentNotFoundException if the specified agent did not\r\n * exist on the specified host.\r\n *\r\n * @throws RemoteException if something unexpected happened during\r\n * the remote method invocation.\r\n *\r\n * @see requestToTransfer\r\n *\r\n */\r\n\r\n public byte []\r\n transferDataFile(Voucher voucher,\r\n AgentIdentity agentidentity)\r\n throws IOException,\r\n TransferFailedException,\r\n AgentNotFoundException,\r\n RemoteException;\r\n}","@Override\n\tpublic void execute() {\n\t\tlog.info(\"running...\");\n\n\n\t\t/* example for finding the server agent */\n\t\tIAgentDescription serverAgent = thisAgent.searchAgent(new AgentDescription(null, \"ServerAgent\", null, null, null, null));\n\t\tif (serverAgent != null) {\n\t\t\tthis.server = serverAgent.getMessageBoxAddress();\n\n\t\t\t// TODO\n\t\t\tif (!hasGameStarted) {\n\t\t\t\tStartGameMessage startGameMessage = new StartGameMessage();\n\t\t\t\tstartGameMessage.brokerId = thisAgent.getAgentId();\n\t\t\t\tstartGameMessage.gridFile = \"/grids/h_01.grid\";\n\t\t\t\t// Send StartGameMessage(BrokerID)\n\t\t\t\tsendMessage(server, startGameMessage);\n\t\t\t\treward = 0;\n\t\t\t\tthis.hasGameStarted = true;\n\t\t\t}\n\n\t\t} else {\n\t\t\tSystem.out.println(\"SERVER NOT FOUND!\");\n\t\t}\n\n\n\t\t/* example of handling incoming messages without listener */\n\t\tfor (JiacMessage message : memory.removeAll(new JiacMessage())) {\n\t\t\tObject payload = message.getPayload();\n\n\t\t\tif (payload instanceof StartGameResponse) {\n\t\t\t\t/* do something */\n\n\t\t\t\t// TODO\n\t\t\t\tStartGameResponse startGameResponse = (StartGameResponse) message.getPayload();\n\n\t\t\t\tthis.maxNum = startGameResponse.initialWorkers.size();\n\t\t\t\tthis.agentDescriptions = getMyWorkerAgents(this.maxNum);\n\t\t\t\tthis.gameId = startGameResponse.gameId;\n\n\t\t\t\t/**\n\t\t\t\t *\n\t\t\t\t * DEBUGGING\n\t\t\t\t *\n\t\t\t\t */\n\t\t\t\tSystem.out.println(\"SERVER SENDING \" + startGameResponse.toString());\n\n\t\t\t\t// TODO handle movements and obstacles\n\t\t\t\tthis.gridworldGame = new GridworldGame();\n\t\t\t\tthis.gridworldGame.obstacles.addAll(startGameResponse.obstacles);\n\n\n\n\t\t\t\t// TODO nicht mehr worker verwenden als zur Verfügung stehen\n\n\t\t\t\t/**\n\t\t\t\t * Initialize the workerIdMap to get the agentDescription and especially the\n\t\t\t\t * MailBoxAdress of the workerAgent which we associated with a specific worker\n\t\t\t\t *\n\n\t\t\t\tfor (Worker worker: startGameResponse.initialWorkers) {\n\t\t\t\t\tworkerIdMap.put(worker.id, this.agentDescriptions.get(startGameResponse.initialWorkers.indexOf(worker)));\n\t\t\t\t\tworkerIdReverseAId.put(this.agentDescriptions.get(startGameResponse.initialWorkers.indexOf(worker)).getAid(), worker.id);\n\t\t\t\t} */\n\n\t\t\t\t/**\n\t\t\t\t * Send the Position messages to each Agent for a specific worker\n\t\t\t\t * PositionMessages are sent to inform the worker where it is located\n\t\t\t\t * additionally put the position of the worker in the positionMap\n\t\t\t\t */\n\t\t\t\tfor (Worker worker: startGameResponse.initialWorkers) {\n\t\t\t\t\tpositionMap.put(worker.id, worker.position);\n\n\t\t\t\t\tworkerIdMap.put(worker.id, this.agentDescriptions.get(startGameResponse.initialWorkers.indexOf(worker)));\n\t\t\t\t\tworkerIdReverseAID.put(this.agentDescriptions.get(startGameResponse.initialWorkers.indexOf(worker)).getAid(), worker.id);\n\n\t\t\t\t\tIAgentDescription agentDescription = workerIdMap.get(worker.id);\n\t\t\t\t\tICommunicationAddress workerAddress = agentDescription.getMessageBoxAddress();\n\n\t\t\t\t\t// Send each Agent their current position\n\t\t\t\t\tPositionMessage positionMessage = new PositionMessage();\n\t\t\t\t\tpositionMessage.workerId = agentDescription.getAid();\n\t\t\t\t\tpositionMessage.gameId = startGameResponse.gameId;\n\t\t\t\t\tpositionMessage.position = worker.position;\n\t\t\t\t\tpositionMessage.workerIdForServer = worker.id;\n\t\t\t\t\t//System.out.println(\"ADDRESS IS \" + workerAddress);\n\n\t\t\t\t\tsendMessage(workerAddress, positionMessage);\n\t\t\t\t\t//break;\n\t\t\t\t}\n\n\t\t\t\thasAgents = true;\n\n\t\t\t\tfor (Order order: savedOrders) {\n\t\t\t\t\t// 3 Runden anfangs zum Initialisieren\n\t\t\t\t\tICommunicationAddress workerAddress = decideOrderAssigment(order);\n\t\t\t\t\tPosition workerPosition = null;\n\t\t\t\t\tfor (IAgentDescription agentDescription: agentDescriptions) {\n\t\t\t\t\t\tif (agentDescription.getMessageBoxAddress().equals(workerAddress)) {\n\t\t\t\t\t\t\tString workerId = workerIdReverseAID.get(agentDescription.getAid());\n\t\t\t\t\t\t\tworkerPosition = positionMap.get(workerId);\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tint steps = workerPosition.distance(order.position) + 2;\n\t\t\t\t\tint rewardMove = (steps > order.deadline)? 0 : order.value - steps * order.turnPenalty;\n\n\t\t\t\t\tSystem.out.println(\"REWARD: \" + rewardMove);\n\n\t\t\t\t\tif(rewardMove > 0) {\n\t\t\t\t\t\tTakeOrderMessage takeOrderMessage = new TakeOrderMessage();\n\t\t\t\t\t\ttakeOrderMessage.orderId = order.id;\n\t\t\t\t\t\ttakeOrderMessage.brokerId = thisAgent.getAgentId();\n\t\t\t\t\t\ttakeOrderMessage.gameId = gameId;\n\t\t\t\t\t\tsendMessage(server, takeOrderMessage);\n\n\t\t\t\t\t\t// Save order into orderMap\n\t\t\t\t\t\tthis.orderMap.put(order.id, order);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (payload instanceof PositionConfirm) {\n\t\t\t\tPositionConfirm positionConfirm = (PositionConfirm) message.getPayload();\n\t\t\t\tif(positionConfirm.state == Result.FAIL) {\n\t\t\t\t\tString workerId = workerIdReverseAID.get(positionConfirm.workerId);\n\t\t\t\t\tIAgentDescription agentDescription = workerIdMap.get(workerId);\n\t\t\t\t\tICommunicationAddress workerAddress = agentDescription.getMessageBoxAddress();\n\n\t\t\t\t\tPositionMessage positionMessage = new PositionMessage();\n\n\t\t\t\t\tpositionMessage.workerId = agentDescription.getAid();\n\t\t\t\t\tpositionMessage.gameId = positionConfirm.gameId;\n\t\t\t\t\tpositionMessage.position = positionMap.get(workerId);\n\t\t\t\t\tpositionMessage.workerIdForServer = workerId;\n\n\t\t\t\t\tsendMessage(workerAddress, positionMessage);\n\t\t\t\t} else {\n\t\t\t\t\tactiveWorkers.add(message.getSender());\n\t\t\t\t\tfor (String orderId: orderMessages) {\n\t\t\t\t\t\tICommunicationAddress workerAddress = decideOrderAssigment(this.orderMap.get(orderId));\n\t\t\t\t\t\tif(workerAddress.equals(message.getSender())){\n\t\t\t\t\t\t\tAssignOrderMessage assignOrderMessage = new AssignOrderMessage();\n\t\t\t\t\t\t\tassignOrderMessage.order = this.orderMap.get(orderId);\n\t\t\t\t\t\t\tassignOrderMessage.gameId = gameId;\n\t\t\t\t\t\t\tassignOrderMessage.server = this.server;\n\t\t\t\t\t\t\tif(activeWorkers.contains(workerAddress)){\n\t\t\t\t\t\t\t\tsendMessage(workerAddress, assignOrderMessage);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t}\n\n\n\t\t\tif (payload instanceof OrderMessage) {\n\n\t\t\t\t// TODO entscheide, ob wir die Order wirklich annehmen wollen / können\n\n\t\t\t\tOrderMessage orderMessage = (OrderMessage) message.getPayload();\n\n\t\t\t\tif (!hasAgents){\n\t\t\t\t\tsavedOrders.add(orderMessage.order);\n\t\t\t\t\tcontinue;\n\t\t\t\t}else {\n\t\t\t\t\tOrder thisOrder = orderMessage.order;\n\n\t\t\t\tICommunicationAddress workerAddress = decideOrderAssigment(thisOrder);\n\t\t\t\tPosition workerPosition = null;\n\t\t\t\tfor (IAgentDescription agentDescription: agentDescriptions) {\n\t\t\t\t\tif (agentDescription.getMessageBoxAddress().equals(workerAddress)) {\n\t\t\t\t\t\tString workerId = workerIdReverseAID.get(agentDescription.getAid());\n\t\t\t\t\t\tworkerPosition = positionMap.get(workerId);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// 3 Runden anfangs zum Initialisieren\n\t\t\t\t\tint steps = workerPosition.distance(thisOrder.position) + 1;\n\t\t\t\t\tint rewardMove = (steps > thisOrder.deadline)? 0 : thisOrder.value - steps * thisOrder.turnPenalty;\n\n\n\t\t\t\t\tSystem.out.println(\"REWARD: \" + rewardMove);\n\n\t\t\t\tif(rewardMove > 0) {\n\t\t\t\t\tTakeOrderMessage takeOrderMessage = new TakeOrderMessage();\n\t\t\t\t\ttakeOrderMessage.orderId = orderMessage.order.id;\n\t\t\t\t\ttakeOrderMessage.brokerId = thisAgent.getAgentId();\n\t\t\t\t\ttakeOrderMessage.gameId = orderMessage.gameId;\n\t\t\t\t\tsendMessage(server, takeOrderMessage);\n\n\t\t\t\t\t// Save order into orderMap\n\t\t\t\t\tOrder order = ((OrderMessage) message.getPayload()).order;\n\t\t\t\t\tthis.orderMap.put(order.id, order);\n\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t/**\n\t\t\t\t *\n\t\t\t\t * DEBUGGING\n\t\t\t\t *\n\t\t\t\t */\n\t\t\t\tSystem.out.println(\"SERVER SENDING \" + orderMessage.toString());\n\n\t\t\t\t// Save order into orderMap\n\n\t\t\t}\n\n\t\t\tif (payload instanceof TakeOrderConfirm) {\n\n\t\t\t\t// TODO\n\t\t\t\t// Got Order ?!\n\t\t\t\tTakeOrderConfirm takeOrderConfirm = (TakeOrderConfirm) message.getPayload();\n\t\t\t\tResult result = takeOrderConfirm.state;\n\n\t\t\t\t/**\n\t\t\t\t *\n\t\t\t\t * DEBUGGING\n\t\t\t\t *\n\t\t\t\t */\n\t\t\t\tSystem.out.println(\"SERVER SENDING \" + takeOrderConfirm.toString());\n\n\t\t\t\tif (result == Result.FAIL) {\n\t\t\t\t\t// Handle failed confirmation\n\n\t\t\t\t\t// Remove order from orderMap as it was rejected by the server\n\t\t\t\t\tthis.orderMap.remove(takeOrderConfirm.orderId);\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\n\n\t\t\t\t// TODO send serverAddress\n\t\t\t\t// Assign order to Worker(Bean)\n\t\t\t\t// Send the order to the first agent\n\t\t\t\tAssignOrderMessage assignOrderMessage = new AssignOrderMessage();\n\t\t\t\tassignOrderMessage.order = this.orderMap.get(takeOrderConfirm.orderId);\n\t\t\t\tassignOrderMessage.gameId = takeOrderConfirm.gameId;\n\t\t\t\tassignOrderMessage.server = this.server;\n\t\t\t\tICommunicationAddress workerAddress = decideOrderAssigment(assignOrderMessage.order);\n\t\t\t\tif(activeWorkers.contains(workerAddress)){\n\t\t\t\t\tsendMessage(workerAddress, assignOrderMessage);\n\t\t\t\t} else {\n\t\t\t\t\torderMessages.add(takeOrderConfirm.orderId);\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif (payload instanceof AssignOrderConfirm) {\n\n\t\t\t\t// TODO\n\t\t\t\tAssignOrderConfirm assignOrderConfirm = (AssignOrderConfirm) message.getPayload();\n\t\t\t\tResult result = assignOrderConfirm.state;\n\n\t\t\t\tif (result == Result.FAIL) {\n\t\t\t\t\t// Handle failed confirmation\n\t\t\t\t\t// TODO\n\t\t\t\t\tICommunicationAddress alternativeWorkerAddress = getAlternativeWorkerAddress(((AssignOrderConfirm) message.getPayload()).workerId);\n\t\t\t\t\treassignOrder(alternativeWorkerAddress, assignOrderConfirm);\n\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\n\t\t\t\torderMessages.remove(assignOrderConfirm.orderId);\n\n\t\t\t\t// TODO Inform other workers that this task is taken - notwendig??\n\n\t\t\t}\n\n\t\t\tif (payload instanceof OrderCompleted) {\n\n\t\t\t\tOrderCompleted orderCompleted = (OrderCompleted) message.getPayload();\n\t\t\t\tResult result = orderCompleted.state;\n\n\t\t\t\tif (result == Result.FAIL) {\n\t\t\t\t\t// TODO Handle failed order completion -> minus points for non handled rewards\n\t\t\t\t\treward += orderCompleted.reward;\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\n\t\t\t\treward += orderCompleted.reward;\n\t\t\t\t// TODO remove order from the worker specific order queues\n\n\t\t\t}\n\n\t\t\tif (payload instanceof PositionUpdate) {\n\n\t\t\t\tPositionUpdate positionUpdate = (PositionUpdate) message.getPayload();\n\t\t\t\tupdateWorkerPosition(positionUpdate.position, positionUpdate.workerId);\n\n\t\t\t}\n\n\t\t\tif (payload instanceof EndGameMessage) {\n\n\t\t\t\tEndGameMessage endGameMessage = (EndGameMessage) message.getPayload();\n\t\t\t\t// TODO lernen lernen lernen lol\n\t\t\t\tSystem.out.println(\"Reward: \" + endGameMessage.totalReward);\n\t\t\t}\n\n\t\t}\n\t}","public interface SendService {\n\n public void sendMessage(RemotingCommand remotingCommand, long timeout);\n}","protected RemoteFactory.Agent.Component<Msg, Ref> newAgent() {\n RemoteFactory.Agent<Msg, Ref> _implem = _createImplementationOfAgent();\n return _implem._newComponent(new RemoteFactory.Agent.Requires<Msg, Ref>() {},true);\n }","@Override\n\tprotected void run(String[] args, SessionConfiguration config, Level logLevel)\n\t\t\tthrows SolclientException {\n\n\t\ttry {\n\n\t\t\t// Determine the numberOfMessageToPublish\n\t\t\tint numberOfMessageToPublish = 10;\n\n\t\t\tString strCount = config.getArgBag().get(\"-n\");\n\t\t\tif (strCount != null) {\n\t\t\t\ttry {\n\t\t\t\t\tnumberOfMessageToPublish = Integer.parseInt(strCount);\n\t\t\t\t} catch (NumberFormatException e) {\n\t\t\t\t\tprintUsage(config instanceof SecureSessionConfiguration);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Init\n\t\t\tprint(\" Initializing the Java RTO Messaging API...\");\n\t\t\tint rc = Solclient.init(new String[0]);\n\t\t\tassertReturnCode(\"Solclient.init()\", rc, SolEnum.ReturnCode.OK);\n\n\t\t\t// Set a log level (not necessary as there is a default)\n\t\t\tSolclient.setLogLevel(logLevel);\n\t\t\t\n\t\t\t// Context\n\t\t\tprint(\" Creating a context ...\");\n\t\t\trc = Solclient.createContextForHandle(contextHandle, new String[0]);\n\t\t\tassertReturnCode(\"Solclient.createContext()\", rc,\n\t\t\t\t\tSolEnum.ReturnCode.OK);\n\n\t\t\t// Session\n\t\t\tprint(\" Creating a session ...\");\n\t\t\tString[] sessionProps = getSessionProps(config, 0);\n\t\t\tSessionEventCallback sessionEventCallback = getDefaultSessionEventCallback();\n\t\t\tMessageCallbackSample messageCallback = getMessageCallback(keepRxMsgs);\n\t\t\trc = contextHandle.createSessionForHandle(sessionHandle,\n\t\t\t\t\tsessionProps, messageCallback, sessionEventCallback);\n\t\t\tassertReturnCode(\"contextHandle.createSession()\", rc,\n\t\t\t\t\tSolEnum.ReturnCode.OK);\n\n\t\t\t// Connect\n\t\t\tprint(\" Connecting session ...\");\n\t\t\trc = sessionHandle.connect();\n\t\t\tassertReturnCode(\"sessionHandle.connect()\", rc,\n\t\t\t\t\tSolEnum.ReturnCode.OK);\n\n\t\t\t/*************************************************************************\n\t\t\t * Ensure the endpoint provisioning is supported\n\t\t\t *************************************************************************/\n\t\t\tprint(\"Checking for capability SOLCLIENT_SESSION_CAPABILITY_ENDPOINT_MANAGEMENT...\");\n\t\t\tif (!sessionHandle\n\t\t\t\t\t.isCapable(SolEnum.CapabilityName.CAPABILITY_ENDPOINT_MANAGEMENT)) {\n\t\t\t\tthrow new RuntimeException(\n\t\t\t\t\t\t\"Required Capability is not present: Endpoint management not supported.\");\n\t\t\t}\n\n\t\t\t/*************************************************************************\n\t\t\t * Provision Queue\n\t\t\t *************************************************************************/\n\n\t\t\t// Make a name\n\t\t\tString provQueueName = \"sample_queue_Provision__\"\n\t\t\t\t\t+ System.currentTimeMillis() % 100000;\n\n\t\t\tprint(\"Provisioning queue \" + provQueueName + \"] ...\");\n\n\n\n\t\t\t// Queue Properties\n\n\t\t\tint queueProps = 0;\n\n\t\t\tString[] queueProperties = new String[10];\n\n\t\t\tqueueProperties[queueProps++] = Endpoint.PROPERTIES.PERMISSION;\n\t\t\tqueueProperties[queueProps++] = SolEnum.EndpointPermission.MODIFY_TOPIC;\n\n\t\t\tqueueProperties[queueProps++] = Endpoint.PROPERTIES.QUOTA_MB;\n\t\t\tqueueProperties[queueProps++] = \"100\";\n\n\t\t\tqueueProperties[queueProps++] = Endpoint.PROPERTIES.MAXMSG_REDELIVERY;\n\t\t\tqueueProperties[queueProps++] = \"15\";\n\t\t\t\n\t\t\t// The Queue with name\n\t\t\tqueue = Solclient.Allocator.newQueue(provQueueName,queueProperties);\n\n\t\t\trc = sessionHandle.provision(queue, SolEnum.ProvisionFlags.WAIT_FOR_CONFIRM, 0);\n\t\t\tassertReturnCode(\"sessionHandle.provision()\", rc,\n\t\t\t\t\tSolEnum.ReturnCode.OK);\n\n\t\t\t/*************************************************************************\n\t\t\t * Bind a Flow to the provisioned endpoint\n\t\t\t *************************************************************************/\n\n\t\t\t// Flow Properties\n\t\t\tint flowProps = 0;\n\t\t\tString[] flowProperties = new String[10];\n\n\t\t\tflowProperties[flowProps++] = FlowHandle.PROPERTIES.BIND_BLOCKING;\n\t\t\tflowProperties[flowProps++] = SolEnum.BooleanValue.DISABLE;\n\n\t\t\t/* Set Acknowledge mode to CLIENT_ACK */\n\n\t\t\tflowProperties[flowProps++] = FlowHandle.PROPERTIES.ACKMODE;\n\t\t\tflowProperties[flowProps++] = SolEnum.AckMode.CLIENT;\n\n\t\t\tFlowEventCallback flowEventCallback = getDefaultFlowEventCallback();\n\n\t\t\t/*************************************************************************\n\t\t\t * Creating flow\n\t\t\t *************************************************************************/\n\t\t\tprint(\"Creating flow\");\n\n\t\t\t// Get a Handle flow\n\n\t\t\trc = sessionHandle.createFlowForHandle(flowHandle, flowProperties,\n\t\t\t\t\tqueue, null, messageCallback, flowEventCallback);\n\n\t\t\tassertReturnCode(\"sessionHandle.createFlowForHandle()\", rc,\n\t\t\t\t\tSolEnum.ReturnCode.IN_PROGRESS);\n\n\t\t\t// Publish PERSISTENT messages to Queue\n\t\t\tfor (int i = 0; i < numberOfMessageToPublish; i++) {\n\t\t\t\tcommon_publishMessage(sessionHandle, txMessageHandle, queue,\n\t\t\t\t\t\tSolEnum.MessageDeliveryMode.PERSISTENT);\n\t\t\t\ttry {\n\t\t\t\t\tThread.sleep(200);\n\t\t\t\t} catch (InterruptedException ie) {\n\t\t\t\t}\n\t\t\t}\n\n\t\t\ttry {\n\t\t\t\tThread.sleep(2000);\n\t\t\t} catch (InterruptedException ie) {\n\t\t\t}\n\n\t\t\tassertExpectedCount(\"Received Message Count\",\n\t\t\t\t\tnumberOfMessageToPublish, messageCallback.getMessageCount());\n\n\t\t\tprint(\"Test Passed\");\n\n\t\t} catch (Throwable t) {\n\t\t\terror(\"An error has occurred \", t);\n\t\t}\n\n\t}","public RecibeMovimientoComportamiento(Agent a) {\n super(a, MessageTemplate.and(MessageTemplate.MatchProtocol(\n FIPANames.InteractionProtocol.FIPA_PROPOSE),\n MessageTemplate.MatchPerformative(ACLMessage.PROPOSE)));\n }","public interface ProvDomainMgr extends ReqMsgClient\n{\n\n /**\n * Returns the message model type that this domain manager provides. The\n * return value is one of the types defined in\n * {@linkplain com.reuters.rfa.rdm.RDMMsgTypes}.\n * \n * @return the message model type that this domain manager provides.\n */\n short getMsgModelType();\n\n /**\n * Returns the name of service that this domain manager provides.\n * \n * @return the name of service that this domain manager provides.\n */\n String getServiceName();\n\n /**\n * Returns an OMMPool used by this domain manager.\n * \n * @return an OMMPool used by this domain manager.\n */\n OMMPool getPool();\n\n /**\n * Sends an OMM message to a client.\n * \n * @param token the client request token\n * @param encmsg the OMM message to submit\n */\n void submit(Token token, OMMMsg encmsg);\n\n}","public interface Transport {\n\n /**\n * This method returns id of the current transport\n * @return\n */\n String id();\n\n /**\n * This methos returns Id of the upstream node\n * @return\n */\n String getUpstreamId();\n\n /**\n * This method returns random\n *\n * @param id\n * @param exclude\n * @return\n */\n String getRandomDownstreamFrom(String id, String exclude);\n\n /**\n * This method returns consumer that accepts messages for delivery\n * @return\n */\n Consumer<VoidMessage> outgoingConsumer();\n\n /**\n * This method returns flow of messages for parameter server\n * @return\n */\n Publisher<INDArrayMessage> incomingPublisher();\n\n /**\n * This method starts this Transport instance\n */\n void launch();\n\n /**\n * This method will start this Transport instance\n */\n void launchAsMaster();\n\n /**\n * This method shuts down this Transport instance\n */\n void shutdown();\n\n /**\n * This method will send message to the network, using tree structure\n * @param message\n */\n void propagateMessage(VoidMessage message, PropagationMode mode) throws IOException;\n\n /**\n * This method will send message to the node specified by Id\n *\n * @param message\n * @param id\n */\n void sendMessage(VoidMessage message, String id);\n\n /**\n * This method will send message to specified node, and will return its response\n *\n * @param message\n * @param id\n * @param <T>\n * @return\n */\n <T extends ResponseMessage> T sendMessageBlocking(RequestMessage message, String id) throws InterruptedException;\n\n /**\n * This method will send message to specified node, and will return its response\n *\n * @param message\n * @param id\n * @param <T>\n * @return\n */\n <T extends ResponseMessage> T sendMessageBlocking(RequestMessage message, String id, long waitTime, TimeUnit timeUnit) throws InterruptedException;\n\n /**\n * This method will be invoked for all incoming messages\n * PLEASE NOTE: this method is mostly suited for tests\n *\n * @param message\n */\n void processMessage(VoidMessage message);\n\n\n /**\n * This method allows to set callback instance, which will be called upon restart event\n * @param callback\n */\n void setRestartCallback(RestartCallback callback);\n\n /**\n * This methd allows to set callback instance for various\n * @param cls\n * @param callback\n * @param <T1> RequestMessage class\n * @param <T2> ResponseMessage class\n */\n <T extends RequestMessage> void addRequestConsumer(Class<T> cls, Consumer<T> consumer);\n\n /**\n * This method will be called if mesh update was received\n *\n * PLEASE NOTE: This method will be called ONLY if new mesh differs from current one\n * @param mesh\n */\n void onMeshUpdate(MeshOrganizer mesh);\n\n /**\n * This method will be called upon remap request\n * @param id\n */\n void onRemap(String id);\n\n /**\n * This method returns total number of nodes known to this Transport\n * @return\n */\n int totalNumberOfNodes();\n\n\n /**\n * This method returns ID of the root node\n * @return\n */\n String getRootId();\n\n /**\n * This method checks if all connections required for work are established\n * @return true\n */\n boolean isConnected();\n\n /**\n * This method checks if this node was properly introduced to driver\n * @return\n */\n boolean isIntroduced();\n\n /**\n * This method checks connection to the given node ID, and if it's not connected - establishes connection\n * @param id\n */\n void ensureConnection(String id);\n}","public interface GoMailAgent {\n\n public int sendMessage(GoMailMessage mail, Properties properties, GoMailContext mailContext, Map<String, Object> vars) throws IOException;\n}","@Override\r\n\t\tpublic void action() {\n\t\t\tswitch (state) {\r\n\t\t\tcase REGISTER:\r\n\t\t\t\tSystem.out.println(\"Philosopher Agent \"\r\n\t\t\t\t\t\t+ myAgent.getAID().getName()\r\n\t\t\t\t\t\t+ \" trying to register\");\r\n\t\t\t\t\r\n\t\t\t\t// searching for waiter agent\r\n\t\t\t\twhile(waiter == null) {\r\n\t\t\t\t\twaiter = searchWaiterAgent(\"waiter-service\");\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\tACLMessage cfp = new ACLMessage(ACLMessage.CFP);\r\n\t\t\t\tcfp.addReceiver(waiter);\r\n\t\t\t\tcfp.setContent(\"philosopher-agent\");\r\n\t\t\t\tcfp.setConversationId(\"philosopher-waiter-fork\");\r\n\t\t\t\tcfp.setReplyWith(\"cfp\"+System.currentTimeMillis());\r\n\t\t\t\tSystem.out.println(\"Philosopher Agent \"\r\n\t\t\t\t\t\t+ myAgent.getAID().getName()\r\n\t\t\t\t\t\t+ \" send registration request \" + cfp);\r\n\t\t\t\tmyAgent.send(cfp);\r\n\t\t\t\t\r\n\t\t\t\t// Prepare template to get response\r\n\t\t\t\t//mt = MessageTemplate.and(MessageTemplate.MatchConversationId(\"philosopher-waiter-fork\"),\r\n\t\t\t\t//\t\tMessageTemplate.MatchInReplyTo(request.getReplyWith()));\r\n\t\t\t\tmt = MessageTemplate.MatchConversationId(\"philosopher-waiter-fork\");\r\n\t\t\t\tstate = State.REGISTERED;\r\n\t\t\t\tbreak;\r\n\t\t\t\t\r\n\t\t\tcase REGISTERED:\r\n\t\t\t\tACLMessage response = myAgent.receive();\r\n\t\t\t\tif (response != null && response.getConversationId().equals(\"philosopher-waiter-fork\")) {\r\n\t\t\t\t\tif (response.getPerformative() == ACLMessage.SUBSCRIBE) {\r\n\t\t\t\t\t\t// behaviour can be finished\r\n\t\t\t\t\t\tregistered = true;\r\n\t\t\t\t\t\tSystem.out.println(\"Philosopher Agent \"\r\n\t\t\t\t\t\t\t\t+ myAgent.getAID().getName()\r\n\t\t\t\t\t\t\t\t+ \" registered Successfully\");\r\n\t\t\t\t\t}\r\n\t\t\t\t\telse {\r\n\t\t\t\t\t\tregistered = false;\r\n\t\t\t\t\t\tSystem.out.println(\"Philosopher Agent \"\r\n\t\t\t\t\t\t\t\t+ myAgent.getAID().getName()\r\n\t\t\t\t\t\t\t\t+ \" registration in progress\");\r\n\t\t\t\t\t\tstate = State.REGISTER;\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t\telse {\r\n\t\t\t\t\tSystem.out.println(myAgent.getAID().getName() + \" blocked\");\r\n\t\t\t\t\tblock();\r\n\t\t\t\t}\r\n\t\t\t\tbreak;\r\n\r\n\t\t\tdefault:\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}","protected void setup(){\n\n\t\tsuper.setup();\n\n\t\tfinal Object[] args = getArguments();\n\t\tif(args!=null && args[0]!=null && args[1]!=null){\n\t\t\tdeployAgent((Environment) args[0],(EntityType)args[1]);\n\t\t}else{\n\t\t\tSystem.err.println(\"Malfunction during parameter's loading of agent\"+ this.getClass().getName());\n System.exit(-1);\n }\n\t\t\n\t\t//############ PARAMS ##########\n\n\t\tthis.nbmodifsmin \t\t= 30;\t\t\t//nb modifs minimum pour renvoyer la carte\n\t\tthis.timeOut \t\t\t= 1000 * 4;\t\t//secondes pour timeout des messages (*1000 car il faut en ms)\n\t\tthis.sleepbetweenmove \t= 200;\t\t\t//in MS\n\t\tthis.nbmoverandom\t\t= 4;\t\t\t// nb random moves by default\n\t\t\n\t\t//#############################\n\t\t//setup graph\n\t\t//setupgraph();\n\t\tthis.graph = new SingleGraph(\"graphAgent\");\n\t\tinitMyGraph();\n\t\tthis.step = 0;\n\t\tthis.stepMap = new HashMap<String, Integer>();\n\t\tthis.path = new ArrayList<String>();\n\t\tthis.mailbox = new Messages(this);\n\t\tthis.lastMsg = null;\n\t\tthis.switchPath = true;\n\t\tthis.lastsender = null;\n\t\tthis.lastSentMap = new HashMap<String, Integer>(); //nbmodifs\n\t\tthis.remakepath = false; // changes to true if the map changed in a way that requires a new path\n\t\tthis.nbmoverandomoriginal = this.nbmoverandom;\n\t\t\n\t\tthis.toSendMap = new HashMap<String, Graph>(); //actual hashmap graph\n\t\t\n\t\tSystem.out.println(\"the agent \"+this.getLocalName()+ \" is started\");\n\t}","public interface UMOMessageReceiver extends Lifecycle, UMOConnectable\n{\n /**\n * @return the receivers endpoint\n */\n UMOImmutableEndpoint getEndpoint();\n\n /**\n * @param message\n * @param exception\n */\n // void handleException(Object message, Throwable exception);\n /**\n * @return the component associated with the receiver\n */\n UMOComponent getComponent();\n\n /**\n * @param endpoint the endpoint to listen on\n * @see UMOImmutableEndpoint\n */\n void setEndpoint(UMOImmutableEndpoint endpoint);\n\n /**\n * @param component the component to associate with the receiver. When data is\n * received the component <code>dispatchEvent</code> or\n * <code>sendEvent</code> is used to dispatch the data to the\n * relivant UMO.\n */\n void setComponent(UMOComponent component);\n\n void setConnector(UMOConnector connector);\n\n UMOConnector getConnector();\n\n /**\n * The endpointUri that this receiver listens on\n * \n * @return\n */\n UMOEndpointURI getEndpointURI();\n\n String getReceiverKey();\n\n void setReceiverKey(String key);\n\n UMOMessage routeMessage(UMOMessage message) throws UMOException;\n\n UMOMessage routeMessage(UMOMessage message, boolean synchronous) throws UMOException;\n\n UMOMessage routeMessage(UMOMessage message, UMOTransaction trans, boolean synchronous)\n throws UMOException;\n\n UMOMessage routeMessage(UMOMessage message, OutputStream outputStream) throws UMOException;\n\n UMOMessage routeMessage(UMOMessage message, boolean synchronous, OutputStream outputStream)\n throws UMOException;\n\n UMOMessage routeMessage(UMOMessage message,\n UMOTransaction trans,\n boolean synchronous,\n OutputStream outputStream) throws UMOException;\n\n}","@Override\r\n\tprotected void setup() {\n\t\tlog=LogManager.getLogger();\r\n\t\tmyAgent.addGoal(new SendMsgGoal());\r\n//\t\tlog.info(\"Send message goal is added\");\r\n\t\t\r\n\t}","protected void setup() {\n\t\tSystem.out.println(\"Messenger agent \"+getAID().getName()+\" is ready.\");\r\n\t\tagentList = new ArrayList();\r\n\t\trefreshActiveAgents();\r\n\r\n\t\tmessageGUI = new MessageAgentGui(this);\r\n\t\tmessageGUI.displayGUI();\r\n\r\n\t\tDFAgentDescription dfd = new DFAgentDescription();\r\n\t\tdfd.setName(getAID());\r\n\t\tServiceDescription sd = new ServiceDescription();\r\n\t\tsd.setType(\"messenger-agent\");\r\n\t\tsd.setName(getLocalName()+\"-Messenger agent\");\r\n\t\tdfd.addServices(sd);\r\n\t\ttry {\r\n\t\t\tDFService.register(this, dfd);\r\n\t\t}\r\n\t\tcatch (FIPAException fe) {\r\n\t\t\tfe.printStackTrace();\r\n\t\t}\r\n\t\taddBehaviour(new ReceiveMessage());\r\n\t}","public interface Communicator {\n\n\n public void sendData(String string);\n public void sendNIDcardObject(NIDCard nidCard);\n public void startWelcomeFragment();\n public void stopWelcomeFragment();\n public void startStepOne();\n}","public interface AMQPIntegratorService {\n\n\tvoid queueMessage(MailStructure email);\n}","public RemoteFactory.Agent<Msg, Ref> _createImplementationOfAgent() {\n RemoteFactory.Agent<Msg, Ref> implem = make_Agent();\n if (implem == null) {\n \tthrow new RuntimeException(\"make_Agent() in fr.irit.smac.may.lib.classic.remote.RemoteFactory should not return null.\");\n }\n assert implem.ecosystemComponent == null: \"This is a bug.\";\n assert this.selfComponent != null: \"This is a bug.\";\n implem.ecosystemComponent = this.selfComponent;\n return implem;\n }","Communicator createCommunicator();","private void createAgent(Class<?> clazz, String name) {\r\n try {\r\n // Fill description of an agent to be created\r\n CreateAgent ca = new CreateAgent();\r\n ca.setAgentName(name);\r\n ca.setClassName(clazz.getCanonicalName());\r\n ca.setContainer(container);\r\n\r\n Action act = new Action(getAMS(), ca);\r\n ACLMessage req = new ACLMessage(ACLMessage.REQUEST);\r\n req.addReceiver(getAMS());\r\n req.setOntology(ontology.getName());\r\n req.setLanguage(FIPANames.ContentLanguage.FIPA_SL);\r\n req.setProtocol(FIPANames.InteractionProtocol.FIPA_REQUEST);\r\n getContentManager().fillContent(req, act);\r\n \r\n // AMS sends a response, \r\n addBehaviour(new AchieveREInitiator(this, req) {\r\n @Override\r\n protected void handleInform(ACLMessage inform) {\r\n logger.severe(\"Success\");\r\n }\r\n\r\n @Override\r\n protected void handleFailure(ACLMessage inform) {\r\n logger.severe(\"Failure\");\r\n }\r\n });\r\n } catch (CodecException | OntologyException e) {\r\n ByteArrayOutputStream out = new ByteArrayOutputStream();\r\n PrintStream printer = new PrintStream(out);\r\n e.printStackTrace(printer);\r\n logger.severe(out.toString());\r\n }\r\n }","public ClientNaiveAgent() {\n // the default ip is the localhost\n ar = new ClientActionRobotJava(\"127.0.0.1\");\n tp = new TrajectoryPlanner();\n randomGenerator = new Random();\n }","public interface Sendable {\n\n}","Agent getAgent();","public interface Comunicator {\n \n\n}","public interface RpcClient {\r\n\r\n\t/**\r\n\t * Initializes this RpcClient\r\n\t */\r\n\tpublic void initialize();\r\n\t\r\n\t/**\r\n\t * Sends the specified object and waits for a response message (or) the specified timeout to occur. Keeps the connection open for further \r\n\t * send requests. Note that clients of this RPCClient must call {@link RPCClient#closeConnections()} when done using this RPCClient.\r\n\t * This method performs to-and-from conversion of the specified object to a raw byte array when publishing it to the queue / consuming off it. \r\n\t * @param message the message to be sent\r\n\t * @param timeout the timeout duration in milliseconds\r\n\t * @return response Object from the RPC message call\r\n\t * @throws MessagingTimeoutException in case the specified timeout occurs\r\n\t * @throws MessagingException in case of errors in message publishing\r\n\t */\r\n\tpublic Object send(Object message, int timeout) throws MessagingTimeoutException, MessagingException;\r\n\r\n\t/**\r\n\t * Sends the specified String and waits for a response message (or) the specified timeout to occur. Keeps the connection open for further \r\n\t * send requests. Note that clients of this RPCClient must call {@link RPCClient#closeConnections()} when done using this RPCClient.\r\n\t * This method performs to-and-from conversion of the specified object to UTF-8 encoded byte array when publishing it to the queue / consuming off it. \r\n\t * @param message the String message to be sent\r\n\t * @param timeout the timeout duration in milliseconds\r\n\t * @return response String from the RPC message call\r\n\t * @throws MessagingTimeoutException in case the specified timeout occurs\r\n\t * @throws MessagingException in case of errors in message publishing\r\n\t */\r\n\tpublic String sendString(String message , int timeout) throws MessagingTimeoutException, MessagingException;\r\n\t\r\n\t/**\r\n\t * Closes connection related objects used by this RpcClient.\r\n\t * @throws MessagingException in case of errors closing connections to the underlying messaging system.\r\n\t */\r\n\tpublic void closeConnections() throws MessagingException;\r\n\t\r\n}","public interface Sender {\n\n public void send();\n}","public interface Sender {\n\n public void send();\n}","public interface Sender {\r\n public void send();\r\n}","@Override\n public void action() {\n ACLMessage acl = blockingReceive();\n System.err.println(\"Hola, que gusto \" + acl.getSender() + \", yo soy \" + getAgent().getName());\n new EnviarMensaje().enviarMensajeString(ACLMessage.INFORM, \"Ag4\", getAgent(), \"Hola agente, soy \" + getAgent().getName(),\n \"COD0001\");\n }","public static void main(String[] args) throws Exception {\n final Key key = KeyGenerator.getInstance(\"\").generateKey();\n\n final Environment env = new Environment();\n\n env.add(new Agent(\"alice\") {\n @Override\n public void task() throws Exception {\n final String text = \"I hope you get this message intact and in secret. Kisses, Alice.\";\n final byte[] pt = text.getBytes(StandardCharsets.UTF_8);\n send(\"bob\", pt);\n\n }\n });\n\n env.add(new Agent(\"bob\") {\n @Override\n public void task() throws Exception {\n\n }\n });\n\n env.connect(\"alice\", \"bob\");\n env.start();\n }","public interface Sender {\n public void send();\n}","protected void setup(){\n this.setEnabledO2ACommunication(true, 0);\n \n showMessage(\"Agent (\" + getLocalName() + \") .... [OK]\");\n \n // Register the agent to the DF\n ServiceDescription sd1 = new ServiceDescription();\n sd1.setType(UtilsAgents.BOAT_COORDINATOR);\n sd1.setName(getLocalName());\n sd1.setOwnership(UtilsAgents.OWNER);\n DFAgentDescription dfd = new DFAgentDescription();\n dfd.addServices(sd1);\n dfd.setName(getAID());\n try {\n DFService.register(this, dfd);\n showMessage(\"Registered to the DF\");\n }catch (FIPAException e) {\n System.err.println(getLocalName() + \" registration with DF \" + \"unsucceeded. Reason: \" + e.getMessage());\n doDelete();\n }\n \n //Search for the CentralAgent\n ServiceDescription searchBoatCoordCriteria = new ServiceDescription();\n searchBoatCoordCriteria.setType(UtilsAgents.COORDINATOR_AGENT);\n this.coordinatorAgent = UtilsAgents.searchAgent(this, searchBoatCoordCriteria);\n\n // Register response behaviours\n //TODO canviar i posar l'altra content\n MessageTemplate mt = MessageTemplate.MatchContent(\"Movement request\");\n this.addBehaviour(new RequestResponseBehaviour(this,mt ));\n }","protected void setup() {\n\t\tSystem.out.println(\"Broker Agent \"+getAID().getName()+\" is ready.\");\r\n\t\tthis.getContentManager().registerLanguage(new SLCodec());\r\n\t\tthis.getContentManager().registerOntology(RequestOntology.getInstance());\r\n\t\t\r\n\t\tObject[] args = getArguments();\r\n\t\tif (args != null && args.length > 0) {\r\n\t\t\tprice = (String) args[0];\r\n\t\t\tvolume= (String) args[1];\r\n\t\t\t\r\n\t\t\tDFAgentDescription dfd = new DFAgentDescription();\r\n\t\t\tdfd.setName(getAID());\r\n\t\t\tServiceDescription sd = new ServiceDescription();\r\n\t\t\tsd.setType(\"energy-selling\");\r\n\t\t\tsd.setName(\"Energy-Broker\");\r\n\t\t\tdfd.addServices(sd);\r\n\t\t\ttry {\r\n\t\t\t\tDFService.register(this, dfd);\r\n\t\t\t}\r\n\t\t\tcatch (FIPAException fe) {\r\n\t\t\t\tfe.printStackTrace();\r\n\t\t\t}\t\t\t\r\n\t\t}\r\n\t\telse{\r\n\t\t\tSystem.out.println(getAID().getName()+\" No available arguments\");\r\n\t\t\tdoDelete();\r\n\t\t}\r\n\t\taddBehaviour(new BOReply(this));\r\n\t}","public interface LongProcessOperations \n{\n ServoConRemote.LongProcessPackage.Status Completed ();\n\n //message is empty on success\n String Message ();\n double Progress ();\n void Detach ();\n}","private void createAgent() {\n logger.info(\"Creating agent\");\n iteration = 0;\n aiManager = new AIManager(configDialogInfo);\n aiManager.getAgent().addObserver(\"gameEngine\", this);\n AIBirth.generate(aiManager.getAgent());\n aiManager.start();\n }","@Override\n\tprotected void doAsyncExecute(VoiceMessage requestMessage) {\n\n\t}","public interface EventBusProducer {\n void post(final Answer answer);\n}","public void send(Message msg);","public ActingGoal() {\n\t\t// rosbridge compatibility issues\n\t}","public Communicator() {\n\n\t\tthis.isReady = false;\n\t\tthis.hold = 0;\n\t\tthis.speaker = 0;\n\t\tthis.listener = 0;\n\t\t//init values\n\n\t\tthis.newLock = new Lock();\n\t\t//new lock\n\t\tthis.speakerR = new Condition2(newLock);\n\t\t//condition variable for speakers\n\t\tthis.listenerR = new Condition2(newLock);\n\t\t//condition variable for listener\n\t\tthis.inProg = new Condition2(newLock);\n\t\t//condition variable for inprog message\n\n\t}","public interface Pipeline {\n void pushMessage(ChatMessage message);\n}","@Override\n public void action() {\n ACLMessage acl = receive();\n if (acl != null) {\n if (acl.getPerformative() == ACLMessage.REQUEST) {\n try {\n ContentElement elemento = myAgent.getContentManager().extractContent(acl);\n if (elemento instanceof PublicarServicio) {\n PublicarServicio publicar = (PublicarServicio) elemento;\n Servicio servicio = publicar.getServicio();\n jadeContainer.iniciarChat(servicio.getTipo(), servicio.getDescripcion());\n //myAgent.addBehaviour(new IniciarChatBehaviour(myAgent, servicio.getTipo(), servicio.getDescripcion()));\n } else if (elemento instanceof EnviarMensaje) {\n EnviarMensaje enviar = (EnviarMensaje) elemento;\n Mensaje mensaje = enviar.getMensaje();\n jadeContainer.enviarMensajeChatJXTA(mensaje.getRemitente(), mensaje.getMensaje());\n }\n } catch (CodecException ex) {\n System.out.println(\"CodecException: \" + ex.getMessage());\n } catch (UngroundedException ex) {\n System.out.println(\"UngroundedException: \" + ex.getMessage());\n } catch (OntologyException ex) {\n System.out.println(\"OntologyException: \" + ex.getMessage());\n }\n }\n } else {\n block();\n }\n }","public interface EmailService {\n\n Boolean send(Greeting greeting);\n\n void sendAsync(Greeting greeting);\n\n CompletableFuture<Boolean> sendAsyncWithResults(Greeting greeting);\n}","@Override\n public void createNewContractAgent(Messages.ContractProposalResponse msg) {\n spawn(\n DefaultContractVisualization.class,\n a -> {\n a.contId = msg.contId;\n a.contSize = msg.contSize;\n a.contDuration = msg.contDuration;\n a.contSpecialization = msg.contSpecialization;\n a.dbContSpecialization = msg.contSpecialization.toString();\n a.addLink(getID(), Links.ContractToClient.class);\n msg.lastContract.addContractVisualization(a);\n });\n }","private void send() {\n vertx.eventBus().publish(GeneratorConfigVerticle.ADDRESS, toJson());\n }","public interface InviteService extends Service, ActorService {\r\n\r\n @AsyncInvocation\r\n void save();\r\n @AsyncInvocation\r\n void insert(DbRow dbRow);\r\n @AsyncInvocation\r\n void update(DbRow dbRow);\r\n @AsyncInvocation\r\n void bindInviteCode(RoleInvitePo roleInvitePoFrom, RoleBeInvitePo roleBeInvitePo);\r\n\r\n}","public interface MessageProducer {\n String getMessage();\n}","public interface Provider {\n public Sender produce();\n}","public interface AmqpServer extends Entity {\n \n /* AMQP protocol version strings. */\n\n String AMQP_0_8 = \"0-8\";\n String AMQP_0_9 = \"0-9\";\n String AMQP_0_9_1 = \"0-9-1\";\n String AMQP_0_10 = \"0-10\";\n String AMQP_1_0 = \"1-0\";\n\n PortAttributeSensorAndConfigKey AMQP_PORT = Attributes.AMQP_PORT;\n\n BasicAttributeSensorAndConfigKey<String> VIRTUAL_HOST_NAME = new BasicAttributeSensorAndConfigKey<String>(\n String.class, \"amqp.virtualHost\", \"AMQP virtual host name\", \"localhost\");\n\n BasicAttributeSensorAndConfigKey<String> AMQP_VERSION = new BasicAttributeSensorAndConfigKey<String>(\n String.class, \"amqp.version\", \"AMQP protocol version\");\n\n String getVirtualHost();\n\n String getAmqpVersion();\n\n Integer getAmqpPort();\n}","public Odi11AgentImpl() {\n }","public AmqpMessage() {}","public static void helloAgent(){\n\t\tHelloAgent agent = new HelloAgent();\r\n\t\r\n\t}","public interface ProducerService {\n}","public SendVoice() {\n super();\n }","public static void main(String[] args) {\n\t\tProduce p = new Produce();\n\t\tp.get();\n\t\tp.put();\n\t\tp.send();\n\t}","public interface Mailbox {\n void send(@NotNull ActorsHolder holder, @NotNull ActorRef ref, @NotNull ActorTask task);\n}","public interface MessageTransceiver {\n\n public void shutdown();\n\n public void send(Serializable message) throws MessageException;\n\n public void addMessageListener(MessageListener l);\n\n public void removeMessageListener(MessageListener l);\n\n}","RequestSender onAgree(Consumer<Message> consumer);","public interface P2P {\n\n\t/**\n\t * Start the P2P system with given servent and router system\n\t * \n\t * @param servent\n\t * @param router\n\t */\n\tpublic void start(NServent servent, Router router);\n\n\t/**\n\t * disconnect from the p2p network\n\t */\n\tpublic void stop();\n\n\t/**\n\t * connect to a p2p network\n\t */\n\tpublic void connectTo(NAddress address) throws IOException;\n\n\t/**\n\t * send msg to all users\n\t * \n\t * @param msg\n\t */\n\tpublic void broadcast(Object msg);\n\n\t/**\n\t * send msg to some users contained in dests set\n\t * \n\t * @param msg\n\t */\n\tpublic void anycast(Set<P2PUser> dests, Object msg);\n\n\t/**\n\t * send the message msg to user dest, the routing system will be used\n\t * \n\t * @param dest\n\t * @param msg\n\t * @throws IOException\n\t */\n\tpublic void sendTo(P2PUser dest, Object msg) throws IOException;\n\n\t/**\n\t * get the p2p network user set\n\t * \n\t * @return\n\t */\n\tpublic Set<P2PUser> getUsers();\n\n\t/**\n\t * Find the user with the address given, return null if not present\n\t * \n\t * @param address\n\t * @return user with address given\n\t */\n\tpublic P2PUser getUser(NAddress address);\n\n\t/**\n\t * Find the user binded with the pair given, return null if not present\n\t * \n\t * @param address\n\t * @return user with address given\n\t */\n\tpublic P2PUser getUser(NPair pair);\n\n\t/**\n\t * Set the handler, its functions will be called when a corresponding event\n\t * will occur\n\t * \n\t * @param handler\n\t */\n\tpublic void setP2PHandler(P2PHandler handler);\n\n\t/**\n\t * Return the Router currently used by the P2P system\n\t * \n\t * @return\n\t */\n\tpublic Router getRouter();\n\n\t/**\n\t * Return the NServent currently used by P2P the system\n\t * \n\t * @return\n\t */\n\tpublic NServent getNServent();\n}","public interface BrokerInterface extends Remote {\n /**\n * Subscribes to a game\n * @param subscriber the interface on which the broker calls the dispatch message method\n * @param clientId the unique id of the client to find in which game it belongs\n * @throws RemoteException\n */\n public void subscribe(SubscriberInterface subscriber, UUID clientId) throws RemoteException;\n}","Future<Message> send();","public AbstractMessageProducer() {\n }","public QLearnAgent() {\n\t\tthis(name);\t\n\t}","public interface IMqService {\n /*发送消息到队列的方法，其中TerminalStateProtoBuf是proto格式的消息，根据实际情况更改*/\n /*\n void reportTerminalState(String restaurantId,TerminalStateProtoBuf.TerminalState.StateType stateType);\n */\n}","public interface RobotCommunicationProtocol {\n}","@DSSafe(DSCat.IPC_CALLBACK)\n @DSGenerator(tool_name = \"Doppelganger\", tool_version = \"2.0\", generated_on = \"2013-12-30 12:59:45.580 -0500\", hash_original_method = \"2469457C965E8FC7C139A1D414384428\", hash_generated_method = \"42C86E9B0B120923F19E3F5FDF13C046\")\n \n@Override\n public void handleMessage(Message msg) {\n mResultMsg = Message.obtain();\n mResultMsg.copyFrom(msg);\n synchronized(mLockObject) {\n mLockObject.notify();\n }\n }","public PromoMessages() {\n }","ClientMessageSender() {\n\n\t}","public AmqpMessage()\n {\n this(Proton.message(), null, null);\n setDurable(true);\n }","private MsgExecuteContract(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {\n super(builder);\n }","CompletableFuture<Exchange> asyncSend(Endpoint endpoint, Processor processor);","public static void main(String[] argv) throws Exception {\n ConnectionFactory factory = new ConnectionFactory();\n // Specify the address of the MOM server\n factory.setHost(\"localhost\");\n // Create a new connection to the MOM\n Connection connection = factory.newConnection();\n // Create a new channel within this connection\n // to consume and to produce messages\n Channel channel = connection.createChannel();\n // Declare the queue to be used with the parameters:\n // durable:false, exclusive: false, autodelete:false,\n // additional-arguments:null\n channel.queueDeclare(QUEUE_NAME, false, false, false, null);\n // Prepare the message\n String message = \"Hello World!\";\n // Send the message to the queue\n channel.basicPublish(\"\", QUEUE_NAME, null, message.getBytes(\"UTF-8\"));\n System.out.println(\" [x] Sent '\" + message + \"'\");\n // Close the channel and the connection and finish the execution\n channel.close();\n connection.close();\n }","public interface OnSendListener {\n void onSend();\n}","protected void setup() {\n DFAgentDescription dfd = new DFAgentDescription();\n dfd.setName(getAID());\n ServiceDescription sd = new ServiceDescription();\n sd.setName(\"Storage Agent\");\n sd.setType(\"Storage\");\n dfd.addServices(sd);\n try {\n DFService.register(this, dfd);\n } catch (FIPAException fe) {\n fe.printStackTrace();\n }\n waitForAgents = new waitAgents();\n receiveAgents = new receiveFromAgents();\n operate = new opMicrogrid();\n decision = new takeDecision();\n\n addBehaviour(waitForAgents);\n\n //add a ticker behavior to monitor PV production, disable PLay button in the meanwhile\n addBehaviour(new TickerBehaviour(this, 5000) {\n protected void onTick() {\n if (AgentsUp == 0) {\n appletVal.playButton.setEnabled(false);\n ACLMessage msg = new ACLMessage(ACLMessage.INFORM);\n msg.addReceiver(new AID(AgentAIDs[2].getLocalName(), AID.ISLOCALNAME));\n msg.setContent(\"Inform!!!\");\n send(msg);\n String stripedValue = \"\";\n msg = receive();\n if (msg != null) {\n // Message received. Process it\n String val = msg.getContent().toString();\n stripedValue = (val.replaceAll(\"[\\\\s+a-zA-Z :]\", \"\"));\n //PV\n if (val.contains(\"PV\")) {\n System.out.println(val);\n PV = Double.parseDouble(stripedValue);\n appletVal.playButton.setEnabled(true);\n appletVal.SetAgentData(PV, 0, 2);\n }\n\n } else {\n block();\n }\n\n }\n }\n });\n\n }","public interface IGoapUnit {\r\n\t/**\r\n\t * Gets called when a plan was found by the planner.\r\n\t * \r\n\t * @param actions\r\n\t * the actions the unit hat to take in order to archive the goal.\r\n\t */\r\n\tpublic void goapPlanFound(Queue<GoapAction> actions);\r\n\r\n\t/**\r\n\t * Gets called when a plan failed to execute.\r\n\t *\r\n\t * @param actions\r\n\t * the remaining actions in the action Queue that failed.\r\n\t */\r\n\tpublic void goapPlanFailed(Queue<GoapAction> actions);\r\n\r\n\t/**\r\n\t * Gets called when a plan was finished.\r\n\t */\r\n\tpublic void goapPlanFinished();\r\n\r\n\t/**\r\n\t * General update from the Agent. Called in a loop until the program ends.\r\n\t */\r\n\tpublic void update();\r\n\r\n\t/**\r\n\t * Function to move to a specific location. Gets called by the moveToState\r\n\t * when the unit has to move to a certain target.\r\n\t *\r\n\t * @param target\r\n\t * the target the unit has to move to.\r\n\t * @return true or false depending if the unit was able to move.\r\n\t */\r\n\tpublic boolean moveTo(Object target);\r\n\t\r\n\tpublic HashSet<GoapState> getWorldState();\r\n\tpublic List<GoapState> getGoalState();\r\n\tpublic HashSet<GoapAction> getAvailableActions();\r\n}","private Agent(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {\n super(builder);\n }","public interface ServeurCORBA {\n\t\n\t// ################################ METHODE DE CREATION / ENVOI / SUPPRESSION ################################ \n\t\n\t/**\n\t * @param idee\n\t * @param identification\n\t * @param callback\n\t */\n\tpublic void creerIdee(final IIdee idee, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param idee\n\t * @param mode\n\t * @param identification\n\t * @param callback\n\t */\n\tpublic void envoyerIdee(final IIdee idee, final ModeDeMiseAJour mode, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param idee\n\t * @param identification\n\t * @param callback\n\t */\n\tpublic void supprimerIdee(final IIdee idee, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param idee\n\t * @param tache\n\t * @param identification\n\t * @param callback\n\t */\n\tpublic void creerTache(final IIdee idee, final ITache tache, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param tache\n\t * @param mode\n\t * @param identification\n\t * @param callback\n\t */\n\tpublic void envoyerTache(final ITache tache, final ModeDeMiseAJour mode, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param tache\n\t * @param identification\n\t * @param callback\n\t */\n\tpublic void supprimerTache(final ITache tache, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param idee\n\t * @param projet\n\t * @param identification\n\t * @param callback\n\t */\n\tpublic void creerProjet(final IIdee idee, final IProjet projet, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param projet\n\t * @param mode\n\t * @param identification\n\t * @param callback\n\t */\n\tpublic void envoyerProjet(final IProjet projet, final ModeDeMiseAJour mode, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param projet\n\t * @param identification\n\t * @param callback\n\t */\n\tpublic void supprimerProjet(final IProjet projet, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param contexte\n\t * @param identification\n\t * @param callback\n\t * @throws RemoteException\n\t */\n\tpublic void creerContexte(final IObjetServeur contexte, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param contexte\n\t * @param mode\n\t * @param identification\n\t * @param callback\n\t * @throws RemoteException\n\t */\n\tpublic void envoyerContexte(final IObjetServeur contexte, final ModeDeMiseAJour mode, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param contexte\n\t * @param identification\n\t * @param callback\n\t * @throws RemoteException\n\t */\n\tpublic void supprimerContexte(final IObjetServeur contexte, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param tag\n\t * @param identification\n\t * @param callback\n\t * @throws RemoteException\n\t */\n\tpublic void creerTag(final ITag tag, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param tag\n\t * @param mode\n\t * @param identification\n\t * @param callback\n\t * @throws RemoteException\n\t */\n\tpublic void envoyerTag(final ITag tag, final ModeDeMiseAJour mode, final String identification, final CallBack<String> callback);\n\t\n\t/**\n\t * @param tag\n\t * @param identification\n\t * @param callback\n\t * @throws RemoteException\n\t */\n\tpublic void supprimerTag(final ITag tag, final String identification, final CallBack<String> callback);\n\t\n\t\n\t// ################################ METHODE DE MODIFICATION ################################\n\t\n\t\n\tpublic void ajouterTacheAProjet(final ITache tache, final IProjet projet, final String identification, CallBack<String> callback);\n\tpublic void retirerTacheDuProjet(final ITache tache, final IProjet projet, final String identification, CallBack<String> callback);\n\n\tpublic void ajouterParticipantAuProjet(final IProjet projet, final IParticipant nom, final String identification, final CallBack<String> callback);\n\tpublic void supprimerParticipantDuProjet(final IProjet projet, final IParticipant nom, final String identification, final CallBack<String> callback);\n\n\tpublic void ajouterParticipantDuProjetATache(final IProjet projet, final IParticipant nom, final ITache tache, final String identification, final CallBack<String> callback);\n\tpublic void retirerParticipantDeLaTache(final IParticipant nom, final ITache tache, final String identification, final CallBack<String> callback);\n\t\n\t\n\t// ################################ METHODE DE RECUPERATION ################################\n\t\n\t\n\tpublic void downloadInbox(final Date date, final String identification, final CallBack<String> callback);\n\tpublic void downloadInbox(final String identification, final CallBack<String> callback);\n\n\n\tpublic void downloadPoubelle(final Date date, final String identification, final CallBack<String> callback);\n\tpublic void downloadPoubelle(final String identification, final CallBack<String> callback);\n\n\n\tpublic void downloadArchive(final Date date, final String identification, final CallBack<String> callback);\n\tpublic void downloadArchive(final String identification, final CallBack<String> callback);\n\n\n\tpublic void downloadProchainesTaches(final Date date, final String identification, final CallBack<String> callback);\n\tpublic void downloadProchainesTaches(final String identification, final CallBack<String> callback);\n\n\n\tpublic void downloadProchainesTaches(final IObjetServeur contexte, final Date date, final String identification, final CallBack<String> callback);\n\tpublic void downloadProchainesTaches(final IObjetServeur contexte, final String identification, final CallBack<String> callback);\n\n\n\tpublic void downloadCalendrier(final Date date, final String identification, final CallBack<String> callback);\n\tpublic void downloadCalendrier(final String identification, final CallBack<String> callback);\n\n\n\tpublic void downloadTacheParTag(final Date date, final ITag tag, final String identification, final CallBack<String> callback);\n\tpublic void downloadTacheParTag(final ITag tag, final String identification, final CallBack<String> callback);\n\t\n\t\n\t// ################################ METHODE DE GESTION DE COMPTE ################################\n\t\n\t\n\tpublic void creerCompte(final String username, final String password, final String pseudo, final String identification, final CallBack<String> callback);\n\tpublic void supprimerCompte(final String username, final String password, final String identification, final CallBack<String> callback);\n\n\tpublic void modifierPseudo(final String pseudo, final String identification, final CallBack<String> callback);\n\tpublic void modifierUsername(final String username, final String identification, final CallBack<String> callback);\n\tpublic void modifierMotDePasse(final String oldpPassword, final String newPassword, final String identification, final CallBack<String> callback);\n\n\tpublic void login(final String username, final String password, final String identification, final CallBack<String> callback);\n\tpublic void disconnect(final String identification, final CallBack<String> callback);\n\t\n\tpublic void downloadListeParticipant(final String identification, final CallBack<List<AbstractParticipant>> callback);\n\t\n\tpublic void downloadLog(final Date date, final String identification, final CallBack<List<String>> callback);\n\tpublic void downloadLog(final String identification, final CallBack<List<String>> callback);\n\t\n\t\n\t// ################################ METHODE ADMINISTRATEUR ################################\n\t\n\t\n\tpublic void downloadLogAdmin(final String identification, final CallBack<List<String>> callback);\n\tpublic void downloadInbox(final String username, final String identification, final CallBack<List<String>> callback);\n\tpublic void downloadTaches(final String username, final String identification, final CallBack<List<String>> callback);\n\tpublic void downloadProjets(final String username, final String identification, final CallBack<List<String>> callback);\n\tpublic void downloadLog(final String username, final String identification, final CallBack<List<String>> callback);\n}","public interface ToNetworkProcessor {\n\n /**\n * Send message.\n *\n * @param message the message\n */\n void sendMessage(String message);\n}","public interface CommandSender \n{\n /**\n * Handle a respond from the robot.\n * @param result The result.\n * @param originalCommand The command which was sent to the robot.\n */\n public void handleResponse(byte[] result, Command originalCommand);\n \n /**\n * Handle an error that occured when communicating to the robot.\n * @param code The error code that was sent by the robot.\n */\n public void handleError(int code);\n \n /**\n * Needed when sending a command repetitively to the robot.\n * @return The command string that should be used.\n */\n public Command getCurrentCommand();\n \n}","Message sendAndWait();","public interface MessageSender {\n boolean handle(Context context, MessageResponse response);\n}","public void Configure()\n\t\t{\n\t\t/*--- Instantiate the message buffer ----*/\n\t\tmessagesin = abstract_robot.getReceiveChannel();//COMMUNICATION\n\t\t}","public Promo(){\n}","public void send() {\n\t}","public interface Waiter {\n void greetTo(String clientName);\n void serveTo(String clientName);\n}","public interface AsynchChannelsGateway {\n\n public Message<String> send(Message<String> message);\n\n}","public interface MessageProcesser {\n\n public void sendMultipleMessage();\n\n public void sendSingleMessage(int tag);\n\n public void parseMessage(String readMessage);\n}","public interface MessageSender {\n\tpublic void enqueueMessage(Message m);\n}","void start(Channel channel, Object msg);","public MessageProcessor(JoeBot bot, MessageContentsSpec msgContents)\n {\n joeBot = bot;\n messageContents = msgContents;\n }","public Communicator() {\n\t\tcommlock = new Lock ();\n\t\tspeaker = new Condition(commlock);\n\t\tlistener = new Condition(commlock);\n\n }","public static void main(String[] args) throws IOException, InterruptedException {\n\t\tArrayList<String> msgList = new ArrayList<String>();\n\t\tboolean msgSent = false;\n\t\tString msg = \"B#setrobot:4,5,4/\\n\";\n\t\tint msgCount = 0;\n\t\tString tmp;\n\t\t\n\t\t// Establish Connection\t\n\t\tComms.openSocket();\n\t\t\n\t\t// Receive Start Message\n\t\t/*do {\n\t\t\ttmp = Comms.receiveMsg();\n\t\t\tSystem.out.println(tmp);\n\t\t} while (tmp == null);*/\n\t\t//msgList.add(tmp); \n\t\tmsgCount++;\n\t\t\n\t\tif (msgCount == 1) System.out.println(\"Initialising Start State\");\n\t\t\n\t\t// 5 sec wait (as if to simulate start)\n\t\tTimeUnit.MILLISECONDS.sleep(5000);\n\t\t\n\t\twhile (true) {\n\t\t\tdo {\n\t\t\t\tif(!msgSent){\n\t\t\t\t\tComms.sendMsg(msg);\n\t\t\t\t\tmsgSent = true;\n\t\t\t\t}\n\t\t\t\ttmp = Comms.receiveMsg();\n\t\t\t\tSystem.out.println(tmp);\n\t\t\t} while (tmp == null);\n\t\t\tmsgList.add(tmp); msgCount++;\n\t\t}\n\t\t\n\t\t\n\t}","public interface IceAdapter {\n CompletableFuture<Integer> start(int gameId);\n\n void stop();\n\n void setIceServers(Collection<CoturnServer> coturnServers);\n}","@Override\n\tpublic void msgReadyToOrder(Customer customerAgent) {\n\t\t\n\t}","public interface RuntimeServices {\n\n /**\n * Creates a new agent with <i>agName</i> from source\n * <i>agSource</i>, using <i>agClass</i> as agent class (default\n * value is \"jason.asSemantics.Agent\"), <i>archClasses</i> as agent\n * architecture classes,\n * <i>bbPars</i> as the belief base\n * class (default value is \"DefaultBeliefBase\"), <i>stts</i> as\n * Settings (default value is new Settings()), and\n * <i>father</i> is the agent creating this agent (null is none).\n *\n * if no archClasses is informed (null value),\n * if fathers is informed\n * use father's ag archs\n * else\n * use default ag archs (see registerDefaultAgArch)\n *\n * <p> Example: createAgent(\"bob\", \"bob.asl\", \"mypkg.MyAgent\", null, null, null);\n *\n * Returns the name of the agent\n */\n public String createAgent(String agName, String agSource, String agClass, Collection<String> archClasses, ClassParameters bbPars, Settings stts, Agent father) throws Exception;\n\n public String getNewAgentName(String baseName);\n\n /** register a class to be included as new agents archs */\n default public void registerDefaultAgArch(String agArch) {}\n\n default public Collection<String> getDefaultAgArchs() { return new ArrayList<>(); }\n\n /** starts an agent (e.g. create thread for it) */\n public void startAgent(String agName);\n\n /**\n * Clones an agent\n *\n * @param source: the agent used as source for beliefs, plans, ...\n * @param archClassName: agent architectures that will be used\n * @param agName: the name of the clone\n * @return the agent arch created\n * @throws JasonException\n */\n public AgArch clone(Agent source, Collection<String> archClasses, String agName) throws JasonException;\n\n /**\n * Kills the agent named <i>agName</i> as a requested by <i>byAg</i>.\n * Agent.stopAg() method is called before the agent is removed.\n */\n public boolean killAgent(String agName, String byAg, int deadline);\n\n /** Returns a set of all agents' name */\n public Collection<String> getAgentsNames();\n\n /** Gets the number of agents in the MAS. */\n public int getAgentsQty();\n\n /** Stops all MAS (the agents, the environment, the controller, ...) */\n public void stopMAS(int deadline) throws Exception;\n default public void stopMAS() throws Exception { stopMAS(0); }\n\n default public void dfRegister(String agName, String service, String type) {}\n default public void dfDeRegister(String agName, String service, String type) {}\n default public Collection<String> dfSearch(String service, String type) { return new ArrayList<>(); }\n default public void dfSubscribe(String agName, String service, String type) {}\n}","void send();","@Test\n public void testSend() throws Exception {\n System.out.println(\"send\");\n Sendable s = sendAMessage();\n }","public interface SqsService {\n\n Promise<DeleteMessageResult> deleteMessage(DeleteMessageRequest request);\n\n Promise<SendMessageResult> sendMessage(SendMessageRequest request);\n\n Promise<ReceiveMessageResult> receiveMessage(ReceiveMessageRequest request);\n\n Promise<GetQueueUrlResult> getQueueUrl(String queueName);\n}"],"string":"[\n \"public interface IPSAgent\\n{\\n /**\\n * This method is the first one to be called by the Agent Manager just after\\n * instantiating the implementing class object. This is called only once in\\n * the object's life cycle.\\n * @param configData - DOM Element representing the configuration data\\n * defined in the configuration file. The implementor dictates the DTD for\\n * the element depending on what he needs.\\n * @throws PSAgentException if initialization fails for any reason\\n */\\n void init(Element configData) throws PSAgentException;\\n\\n /**\\n * This method is the engine of the agent and called any time a service from\\n * this agent is requested by the Agent Manager.\\n * @param action - name of the action to be excuted by the agent.\\n * @param params - Map (name, value pairs) of all parameters from the\\n * request\\n * @param response <code>IPSAgentHandlerResponse</code> object that can be\\n * used to set the results of execution of the action. If the requested\\n * action is not implmented or enough parameters are not supplied to execute\\n * the action, the result can be set to error.\\n */\\n void executeAction(String action, Map params,\\n IPSAgentHandlerResponse response);\\n\\n /**\\n * This method is called by the Agent Manager while shuttingdown. May be\\n * used to do any cleaning.\\n */\\n void terminate();\\n}\",\n \"protected abstract RemoteFactory.Agent<Msg, Ref> make_Agent();\",\n \"public void contractNet(ACLMessage msg) {\\n\\t\\taddBehaviour(new ContractNetInitiator(this, msg) {\\n\\n\\t\\t\\tprotected void handlePropose(ACLMessage propose, Vector v) {\\n\\t\\t\\t\\tSystem.out.println(\\\"Agent \\\" + propose.getSender().getLocalName() + \\\" proposed \\\" + propose.getContent());\\n\\t\\t\\t}\\n\\n\\t\\t\\tprotected void handleRefuse(ACLMessage refuse) {\\n\\t\\t\\t\\tSystem.out.println(\\\"Agent \\\" + refuse.getSender().getLocalName() + \\\" refused\\\");\\n\\t\\t\\t}\\n\\n\\t\\t\\tprotected void handleFailure(ACLMessage failure) {\\n\\t\\t\\t\\tif (failure.getSender().equals(myAgent.getAMS())) {\\n\\t\\t\\t\\t\\t// FAILURE notification from the JADE runtime: the receiver\\n\\t\\t\\t\\t\\t// does not exist\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"Responder does not exist\\\");\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"Agent \\\" + failure.getSender().getLocalName() + \\\" failed\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t// Immediate failure --> we will not receive a response from this agent\\n\\t\\t\\t\\tnResponders--;\\n\\t\\t\\t}\\n\\n\\t\\t\\tprotected void handleAllResponses(Vector responses, Vector acceptances) {\\n\\t\\t\\t\\tif (responses.size() < nResponders) {\\n\\t\\t\\t\\t\\t// Some responder didn't reply within the specified timeout\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"Timeout expired: missing \\\" + (nResponders - responses.size()) + \\\" responses\\\");\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// Evaluate proposals.\\n\\t\\t\\t\\t// Consider that the offer is an int ratio of an importance combination\\n\\t\\t\\t\\t// of time, money, distance or whatever.\\n\\t\\t\\t\\tint bestProposal = -1;\\n\\t\\t\\t\\tAID bestProposer = null;\\n\\t\\t\\t\\tACLMessage accept = null;\\n\\t\\t\\t\\tEnumeration e = responses.elements();\\n\\t\\t\\t\\twhile (e.hasMoreElements()) {\\n\\t\\t\\t\\t\\tACLMessage msg = (ACLMessage) e.nextElement();\\n\\t\\t\\t\\t\\tif (msg.getPerformative() == ACLMessage.PROPOSE) {\\n\\t\\t\\t\\t\\t\\tACLMessage reply = msg.createReply();\\n\\t\\t\\t\\t\\t\\treply.setPerformative(ACLMessage.REJECT_PROPOSAL);\\n\\t\\t\\t\\t\\t\\tacceptances.addElement(reply);\\n\\t\\t\\t\\t\\t\\tint proposal = Integer.parseInt(msg.getContent());\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"THE PROPOSAL IS \\\" + proposal);\\n\\t\\t\\t\\t\\t\\tif (proposal > bestProposal) {\\n\\t\\t\\t\\t\\t\\t\\tbestProposal = proposal;\\n\\t\\t\\t\\t\\t\\t\\tbestProposer = msg.getSender();\\n\\t\\t\\t\\t\\t\\t\\taccept = reply;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// Accept the proposal of the best proposer\\n\\t\\t\\t\\tif (accept != null) {\\n\\t\\t\\t\\t\\tSystem.out.println(\\n\\t\\t\\t\\t\\t\\t\\t\\\"Accepting proposal \\\" + bestProposal + \\\" from responder \\\" + bestProposer.getLocalName());\\n\\t\\t\\t\\t\\taccept.setPerformative(ACLMessage.ACCEPT_PROPOSAL);\\n\\t\\t\\t\\t\\tassignment();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tprivate void assignment() {\\n\\t\\t\\t\\t// TODO Auto-generated method stub\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\tprotected void handleInform(ACLMessage inform) {\\n\\t\\t\\t\\tSystem.out.println(\\n\\t\\t\\t\\t\\t\\t\\\"Agent \\\" + inform.getSender().getLocalName() + \\\" successfully performed the requested action\\\");\\n\\t\\t\\t}\\n\\t\\t});\\n\\t}\",\n \"public interface AgentHost\\r\\n extends Remote\\r\\n{\\r\\n /**\\r\\n * Sends a message.\\r\\n *\\r\\n * If the specified agent is no longer hosted by this agent host,\\r\\n * the agent host will attempt to locate it.\\r\\n *\\r\\n * @parameter agenthost is the sending agent host.\\r\\n *\\r\\n * @throws MessageFailedException if the message dispatch failed --\\r\\n * either because the host rejected the dispatch, or the\\r\\n * dispatch failed for some other reason.\\r\\n *\\r\\n * @throws AgentNotFoundException if the specified agent did not\\r\\n * exist on the specified host.\\r\\n *\\r\\n * @throws RemoteException if something unexpected happened during\\r\\n * the remote method invocation.\\r\\n *\\r\\n */\\r\\n\\r\\n public Response\\r\\n sendMessage(AgentHost agenthost,\\r\\n Voucher voucher,\\r\\n AgentIdentity agentidentity,\\r\\n Message message)\\r\\n throws MessageFailedException,\\r\\n AgentNotFoundException,\\r\\n RemoteException;\\r\\n\\r\\n /**\\r\\n * Requests that an agent transfer occur.\\r\\n *\\r\\n * A remote host calls this method on behalf of an agent and\\r\\n * requests the local host transfer the agent.\\r\\n *\\r\\n * A transfer occurs as follows:\\r\\n *\\r\\n * <OL>\\r\\n * <LI>the local host invokes the <CODE>beginTransfer()</CODE>\\r\\n * method on the remote host\\r\\n * <LI>the local host invokes the <CODE>transferResourceFile()</CODE>\\r\\n * method on the remote host\\r\\n * <LI>the local host invokes the <CODE>transferDataFile()</CODE>\\r\\n * method on the remote host\\r\\n * <LI>the local host invokes the <CODE>endTransfer()</CODE>\\r\\n * method on the remote host\\r\\n * </OL>\\r\\n *\\r\\n * @parameter agenthost the agent host originating the request.\\r\\n *\\r\\n * @throws IOException if problems occurred while serializing the\\r\\n * data.\\r\\n *\\r\\n * @throws IllegalAccessException if a class or initializer was not\\r\\n * accessible.\\r\\n *\\r\\n * @throws InstantiationException if the agent tried to instantiate\\r\\n * an abstract class or an interface, or if the instantiation\\r\\n * failed for some other reason.\\r\\n *\\r\\n * @throws ClassNotFoundException if a required class could not be\\r\\n * found.\\r\\n *\\r\\n * @throws TransferFailedException if the local host attempted the\\r\\n * transfer but it failed -- either because the specified\\r\\n * host couldn't be found, the specified host rejected the\\r\\n * transfer, or the transfer failed for some other reason.\\r\\n *\\r\\n * @throws AgentNotFoundException if the specified agent did not\\r\\n * exist on the specified host.\\r\\n *\\r\\n * @throws RemoteException if something unexpected happened during\\r\\n * the remote method invocation.\\r\\n *\\r\\n */\\r\\n\\r\\n public void\\r\\n requestToTransfer(AgentHost agenthost,\\r\\n Voucher voucher,\\r\\n AgentIdentity agentidentity)\\r\\n throws IOException,\\r\\n IllegalAccessException,\\r\\n InstantiationException,\\r\\n ClassNotFoundException,\\r\\n TransferFailedException,\\r\\n AgentNotFoundException,\\r\\n AgentDefinitionException,\\r\\n RemoteException;\\r\\n\\r\\n /**\\r\\n * Begins a transfer.\\r\\n *\\r\\n * @throws IOException if problems occurred while serializing the\\r\\n * data.\\r\\n *\\r\\n * @throws TransferFailedException if the transfer failed -- either\\r\\n * because the remote host rejected the transfer, or the\\r\\n * transfer failed for some other reason.\\r\\n *\\r\\n * @throws AgentNotFoundException if the specified agent did not\\r\\n * exist on the specified host.\\r\\n *\\r\\n * @throws RemoteException if something unexpected happened during\\r\\n * the remote method invocation.\\r\\n *\\r\\n * @see endTransfer\\r\\n *\\r\\n */\\r\\n\\r\\n public void\\r\\n beginTransfer(Voucher voucher,\\r\\n AgentIdentity agentidentity)\\r\\n throws IOException,\\r\\n TransferFailedException,\\r\\n AgentNotFoundException,\\r\\n RemoteException;\\r\\n\\r\\n /**\\r\\n * Ends a transfer.\\r\\n *\\r\\n * @throws IOException if problems occurred while serializing the\\r\\n * data.\\r\\n *\\r\\n * @throws TransferFailedException if the transfer failed -- either\\r\\n * because the remote host rejected the transfer, or the\\r\\n * transfer failed for some other reason.\\r\\n *\\r\\n * @throws AgentNotFoundException if the specified agent did not\\r\\n * exist on the specified host.\\r\\n *\\r\\n * @throws RemoteException if something unexpected happened during\\r\\n * the remote method invocation.\\r\\n *\\r\\n * @see beginTransfer\\r\\n *\\r\\n */\\r\\n\\r\\n public void\\r\\n endTransfer(Voucher voucher,\\r\\n AgentIdentity agentidentity)\\r\\n throws IOException,\\r\\n TransferFailedException,\\r\\n AgentNotFoundException,\\r\\n RemoteException;\\r\\n\\r\\n /**\\r\\n * Transfers the agent's resource file.\\r\\n *\\r\\n * The local host calls this method to transfer an agent's resource\\r\\n * file from the remote host to the local host.\\r\\n *\\r\\n * @throws IOException if problems occurred while serializing the\\r\\n * data.\\r\\n *\\r\\n * @throws TransferFailedException if the transfer failed -- either\\r\\n * because the remote host rejected the transfer, or the\\r\\n * transfer failed for some other reason.\\r\\n *\\r\\n * @throws AgentNotFoundException if the specified agent did not\\r\\n * exist on the specified host.\\r\\n *\\r\\n * @throws RemoteException if something unexpected happened during\\r\\n * the remote method invocation.\\r\\n *\\r\\n * @see requestToTransfer\\r\\n *\\r\\n */\\r\\n\\r\\n public byte []\\r\\n transferResourceFile(Voucher voucher,\\r\\n AgentIdentity agentidentity)\\r\\n throws IOException,\\r\\n TransferFailedException,\\r\\n AgentNotFoundException,\\r\\n RemoteException;\\r\\n\\r\\n /**\\r\\n * Transfers the agent's data file.\\r\\n *\\r\\n * The local host calls this method to transfer an agent's data\\r\\n * file from the remote host to the local host.\\r\\n *\\r\\n * @throws IOException if problems occurred while serializing the\\r\\n * data.\\r\\n *\\r\\n * @throws TransferFailedException if the transfer failed -- either\\r\\n * because the remote host rejected the transfer, or the\\r\\n * transfer failed for some other reason.\\r\\n *\\r\\n * @throws AgentNotFoundException if the specified agent did not\\r\\n * exist on the specified host.\\r\\n *\\r\\n * @throws RemoteException if something unexpected happened during\\r\\n * the remote method invocation.\\r\\n *\\r\\n * @see requestToTransfer\\r\\n *\\r\\n */\\r\\n\\r\\n public byte []\\r\\n transferDataFile(Voucher voucher,\\r\\n AgentIdentity agentidentity)\\r\\n throws IOException,\\r\\n TransferFailedException,\\r\\n AgentNotFoundException,\\r\\n RemoteException;\\r\\n}\",\n \"@Override\\n\\tpublic void execute() {\\n\\t\\tlog.info(\\\"running...\\\");\\n\\n\\n\\t\\t/* example for finding the server agent */\\n\\t\\tIAgentDescription serverAgent = thisAgent.searchAgent(new AgentDescription(null, \\\"ServerAgent\\\", null, null, null, null));\\n\\t\\tif (serverAgent != null) {\\n\\t\\t\\tthis.server = serverAgent.getMessageBoxAddress();\\n\\n\\t\\t\\t// TODO\\n\\t\\t\\tif (!hasGameStarted) {\\n\\t\\t\\t\\tStartGameMessage startGameMessage = new StartGameMessage();\\n\\t\\t\\t\\tstartGameMessage.brokerId = thisAgent.getAgentId();\\n\\t\\t\\t\\tstartGameMessage.gridFile = \\\"/grids/h_01.grid\\\";\\n\\t\\t\\t\\t// Send StartGameMessage(BrokerID)\\n\\t\\t\\t\\tsendMessage(server, startGameMessage);\\n\\t\\t\\t\\treward = 0;\\n\\t\\t\\t\\tthis.hasGameStarted = true;\\n\\t\\t\\t}\\n\\n\\t\\t} else {\\n\\t\\t\\tSystem.out.println(\\\"SERVER NOT FOUND!\\\");\\n\\t\\t}\\n\\n\\n\\t\\t/* example of handling incoming messages without listener */\\n\\t\\tfor (JiacMessage message : memory.removeAll(new JiacMessage())) {\\n\\t\\t\\tObject payload = message.getPayload();\\n\\n\\t\\t\\tif (payload instanceof StartGameResponse) {\\n\\t\\t\\t\\t/* do something */\\n\\n\\t\\t\\t\\t// TODO\\n\\t\\t\\t\\tStartGameResponse startGameResponse = (StartGameResponse) message.getPayload();\\n\\n\\t\\t\\t\\tthis.maxNum = startGameResponse.initialWorkers.size();\\n\\t\\t\\t\\tthis.agentDescriptions = getMyWorkerAgents(this.maxNum);\\n\\t\\t\\t\\tthis.gameId = startGameResponse.gameId;\\n\\n\\t\\t\\t\\t/**\\n\\t\\t\\t\\t *\\n\\t\\t\\t\\t * DEBUGGING\\n\\t\\t\\t\\t *\\n\\t\\t\\t\\t */\\n\\t\\t\\t\\tSystem.out.println(\\\"SERVER SENDING \\\" + startGameResponse.toString());\\n\\n\\t\\t\\t\\t// TODO handle movements and obstacles\\n\\t\\t\\t\\tthis.gridworldGame = new GridworldGame();\\n\\t\\t\\t\\tthis.gridworldGame.obstacles.addAll(startGameResponse.obstacles);\\n\\n\\n\\n\\t\\t\\t\\t// TODO nicht mehr worker verwenden als zur Verfügung stehen\\n\\n\\t\\t\\t\\t/**\\n\\t\\t\\t\\t * Initialize the workerIdMap to get the agentDescription and especially the\\n\\t\\t\\t\\t * MailBoxAdress of the workerAgent which we associated with a specific worker\\n\\t\\t\\t\\t *\\n\\n\\t\\t\\t\\tfor (Worker worker: startGameResponse.initialWorkers) {\\n\\t\\t\\t\\t\\tworkerIdMap.put(worker.id, this.agentDescriptions.get(startGameResponse.initialWorkers.indexOf(worker)));\\n\\t\\t\\t\\t\\tworkerIdReverseAId.put(this.agentDescriptions.get(startGameResponse.initialWorkers.indexOf(worker)).getAid(), worker.id);\\n\\t\\t\\t\\t} */\\n\\n\\t\\t\\t\\t/**\\n\\t\\t\\t\\t * Send the Position messages to each Agent for a specific worker\\n\\t\\t\\t\\t * PositionMessages are sent to inform the worker where it is located\\n\\t\\t\\t\\t * additionally put the position of the worker in the positionMap\\n\\t\\t\\t\\t */\\n\\t\\t\\t\\tfor (Worker worker: startGameResponse.initialWorkers) {\\n\\t\\t\\t\\t\\tpositionMap.put(worker.id, worker.position);\\n\\n\\t\\t\\t\\t\\tworkerIdMap.put(worker.id, this.agentDescriptions.get(startGameResponse.initialWorkers.indexOf(worker)));\\n\\t\\t\\t\\t\\tworkerIdReverseAID.put(this.agentDescriptions.get(startGameResponse.initialWorkers.indexOf(worker)).getAid(), worker.id);\\n\\n\\t\\t\\t\\t\\tIAgentDescription agentDescription = workerIdMap.get(worker.id);\\n\\t\\t\\t\\t\\tICommunicationAddress workerAddress = agentDescription.getMessageBoxAddress();\\n\\n\\t\\t\\t\\t\\t// Send each Agent their current position\\n\\t\\t\\t\\t\\tPositionMessage positionMessage = new PositionMessage();\\n\\t\\t\\t\\t\\tpositionMessage.workerId = agentDescription.getAid();\\n\\t\\t\\t\\t\\tpositionMessage.gameId = startGameResponse.gameId;\\n\\t\\t\\t\\t\\tpositionMessage.position = worker.position;\\n\\t\\t\\t\\t\\tpositionMessage.workerIdForServer = worker.id;\\n\\t\\t\\t\\t\\t//System.out.println(\\\"ADDRESS IS \\\" + workerAddress);\\n\\n\\t\\t\\t\\t\\tsendMessage(workerAddress, positionMessage);\\n\\t\\t\\t\\t\\t//break;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\thasAgents = true;\\n\\n\\t\\t\\t\\tfor (Order order: savedOrders) {\\n\\t\\t\\t\\t\\t// 3 Runden anfangs zum Initialisieren\\n\\t\\t\\t\\t\\tICommunicationAddress workerAddress = decideOrderAssigment(order);\\n\\t\\t\\t\\t\\tPosition workerPosition = null;\\n\\t\\t\\t\\t\\tfor (IAgentDescription agentDescription: agentDescriptions) {\\n\\t\\t\\t\\t\\t\\tif (agentDescription.getMessageBoxAddress().equals(workerAddress)) {\\n\\t\\t\\t\\t\\t\\t\\tString workerId = workerIdReverseAID.get(agentDescription.getAid());\\n\\t\\t\\t\\t\\t\\t\\tworkerPosition = positionMap.get(workerId);\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\tint steps = workerPosition.distance(order.position) + 2;\\n\\t\\t\\t\\t\\tint rewardMove = (steps > order.deadline)? 0 : order.value - steps * order.turnPenalty;\\n\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"REWARD: \\\" + rewardMove);\\n\\n\\t\\t\\t\\t\\tif(rewardMove > 0) {\\n\\t\\t\\t\\t\\t\\tTakeOrderMessage takeOrderMessage = new TakeOrderMessage();\\n\\t\\t\\t\\t\\t\\ttakeOrderMessage.orderId = order.id;\\n\\t\\t\\t\\t\\t\\ttakeOrderMessage.brokerId = thisAgent.getAgentId();\\n\\t\\t\\t\\t\\t\\ttakeOrderMessage.gameId = gameId;\\n\\t\\t\\t\\t\\t\\tsendMessage(server, takeOrderMessage);\\n\\n\\t\\t\\t\\t\\t\\t// Save order into orderMap\\n\\t\\t\\t\\t\\t\\tthis.orderMap.put(order.id, order);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tif (payload instanceof PositionConfirm) {\\n\\t\\t\\t\\tPositionConfirm positionConfirm = (PositionConfirm) message.getPayload();\\n\\t\\t\\t\\tif(positionConfirm.state == Result.FAIL) {\\n\\t\\t\\t\\t\\tString workerId = workerIdReverseAID.get(positionConfirm.workerId);\\n\\t\\t\\t\\t\\tIAgentDescription agentDescription = workerIdMap.get(workerId);\\n\\t\\t\\t\\t\\tICommunicationAddress workerAddress = agentDescription.getMessageBoxAddress();\\n\\n\\t\\t\\t\\t\\tPositionMessage positionMessage = new PositionMessage();\\n\\n\\t\\t\\t\\t\\tpositionMessage.workerId = agentDescription.getAid();\\n\\t\\t\\t\\t\\tpositionMessage.gameId = positionConfirm.gameId;\\n\\t\\t\\t\\t\\tpositionMessage.position = positionMap.get(workerId);\\n\\t\\t\\t\\t\\tpositionMessage.workerIdForServer = workerId;\\n\\n\\t\\t\\t\\t\\tsendMessage(workerAddress, positionMessage);\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tactiveWorkers.add(message.getSender());\\n\\t\\t\\t\\t\\tfor (String orderId: orderMessages) {\\n\\t\\t\\t\\t\\t\\tICommunicationAddress workerAddress = decideOrderAssigment(this.orderMap.get(orderId));\\n\\t\\t\\t\\t\\t\\tif(workerAddress.equals(message.getSender())){\\n\\t\\t\\t\\t\\t\\t\\tAssignOrderMessage assignOrderMessage = new AssignOrderMessage();\\n\\t\\t\\t\\t\\t\\t\\tassignOrderMessage.order = this.orderMap.get(orderId);\\n\\t\\t\\t\\t\\t\\t\\tassignOrderMessage.gameId = gameId;\\n\\t\\t\\t\\t\\t\\t\\tassignOrderMessage.server = this.server;\\n\\t\\t\\t\\t\\t\\t\\tif(activeWorkers.contains(workerAddress)){\\n\\t\\t\\t\\t\\t\\t\\t\\tsendMessage(workerAddress, assignOrderMessage);\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\n\\n\\t\\t\\tif (payload instanceof OrderMessage) {\\n\\n\\t\\t\\t\\t// TODO entscheide, ob wir die Order wirklich annehmen wollen / können\\n\\n\\t\\t\\t\\tOrderMessage orderMessage = (OrderMessage) message.getPayload();\\n\\n\\t\\t\\t\\tif (!hasAgents){\\n\\t\\t\\t\\t\\tsavedOrders.add(orderMessage.order);\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\tOrder thisOrder = orderMessage.order;\\n\\n\\t\\t\\t\\tICommunicationAddress workerAddress = decideOrderAssigment(thisOrder);\\n\\t\\t\\t\\tPosition workerPosition = null;\\n\\t\\t\\t\\tfor (IAgentDescription agentDescription: agentDescriptions) {\\n\\t\\t\\t\\t\\tif (agentDescription.getMessageBoxAddress().equals(workerAddress)) {\\n\\t\\t\\t\\t\\t\\tString workerId = workerIdReverseAID.get(agentDescription.getAid());\\n\\t\\t\\t\\t\\t\\tworkerPosition = positionMap.get(workerId);\\n\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// 3 Runden anfangs zum Initialisieren\\n\\t\\t\\t\\t\\tint steps = workerPosition.distance(thisOrder.position) + 1;\\n\\t\\t\\t\\t\\tint rewardMove = (steps > thisOrder.deadline)? 0 : thisOrder.value - steps * thisOrder.turnPenalty;\\n\\n\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"REWARD: \\\" + rewardMove);\\n\\n\\t\\t\\t\\tif(rewardMove > 0) {\\n\\t\\t\\t\\t\\tTakeOrderMessage takeOrderMessage = new TakeOrderMessage();\\n\\t\\t\\t\\t\\ttakeOrderMessage.orderId = orderMessage.order.id;\\n\\t\\t\\t\\t\\ttakeOrderMessage.brokerId = thisAgent.getAgentId();\\n\\t\\t\\t\\t\\ttakeOrderMessage.gameId = orderMessage.gameId;\\n\\t\\t\\t\\t\\tsendMessage(server, takeOrderMessage);\\n\\n\\t\\t\\t\\t\\t// Save order into orderMap\\n\\t\\t\\t\\t\\tOrder order = ((OrderMessage) message.getPayload()).order;\\n\\t\\t\\t\\t\\tthis.orderMap.put(order.id, order);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t/**\\n\\t\\t\\t\\t *\\n\\t\\t\\t\\t * DEBUGGING\\n\\t\\t\\t\\t *\\n\\t\\t\\t\\t */\\n\\t\\t\\t\\tSystem.out.println(\\\"SERVER SENDING \\\" + orderMessage.toString());\\n\\n\\t\\t\\t\\t// Save order into orderMap\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\tif (payload instanceof TakeOrderConfirm) {\\n\\n\\t\\t\\t\\t// TODO\\n\\t\\t\\t\\t// Got Order ?!\\n\\t\\t\\t\\tTakeOrderConfirm takeOrderConfirm = (TakeOrderConfirm) message.getPayload();\\n\\t\\t\\t\\tResult result = takeOrderConfirm.state;\\n\\n\\t\\t\\t\\t/**\\n\\t\\t\\t\\t *\\n\\t\\t\\t\\t * DEBUGGING\\n\\t\\t\\t\\t *\\n\\t\\t\\t\\t */\\n\\t\\t\\t\\tSystem.out.println(\\\"SERVER SENDING \\\" + takeOrderConfirm.toString());\\n\\n\\t\\t\\t\\tif (result == Result.FAIL) {\\n\\t\\t\\t\\t\\t// Handle failed confirmation\\n\\n\\t\\t\\t\\t\\t// Remove order from orderMap as it was rejected by the server\\n\\t\\t\\t\\t\\tthis.orderMap.remove(takeOrderConfirm.orderId);\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t}\\n\\n\\n\\t\\t\\t\\t// TODO send serverAddress\\n\\t\\t\\t\\t// Assign order to Worker(Bean)\\n\\t\\t\\t\\t// Send the order to the first agent\\n\\t\\t\\t\\tAssignOrderMessage assignOrderMessage = new AssignOrderMessage();\\n\\t\\t\\t\\tassignOrderMessage.order = this.orderMap.get(takeOrderConfirm.orderId);\\n\\t\\t\\t\\tassignOrderMessage.gameId = takeOrderConfirm.gameId;\\n\\t\\t\\t\\tassignOrderMessage.server = this.server;\\n\\t\\t\\t\\tICommunicationAddress workerAddress = decideOrderAssigment(assignOrderMessage.order);\\n\\t\\t\\t\\tif(activeWorkers.contains(workerAddress)){\\n\\t\\t\\t\\t\\tsendMessage(workerAddress, assignOrderMessage);\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\torderMessages.add(takeOrderConfirm.orderId);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\tif (payload instanceof AssignOrderConfirm) {\\n\\n\\t\\t\\t\\t// TODO\\n\\t\\t\\t\\tAssignOrderConfirm assignOrderConfirm = (AssignOrderConfirm) message.getPayload();\\n\\t\\t\\t\\tResult result = assignOrderConfirm.state;\\n\\n\\t\\t\\t\\tif (result == Result.FAIL) {\\n\\t\\t\\t\\t\\t// Handle failed confirmation\\n\\t\\t\\t\\t\\t// TODO\\n\\t\\t\\t\\t\\tICommunicationAddress alternativeWorkerAddress = getAlternativeWorkerAddress(((AssignOrderConfirm) message.getPayload()).workerId);\\n\\t\\t\\t\\t\\treassignOrder(alternativeWorkerAddress, assignOrderConfirm);\\n\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\torderMessages.remove(assignOrderConfirm.orderId);\\n\\n\\t\\t\\t\\t// TODO Inform other workers that this task is taken - notwendig??\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\tif (payload instanceof OrderCompleted) {\\n\\n\\t\\t\\t\\tOrderCompleted orderCompleted = (OrderCompleted) message.getPayload();\\n\\t\\t\\t\\tResult result = orderCompleted.state;\\n\\n\\t\\t\\t\\tif (result == Result.FAIL) {\\n\\t\\t\\t\\t\\t// TODO Handle failed order completion -> minus points for non handled rewards\\n\\t\\t\\t\\t\\treward += orderCompleted.reward;\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\treward += orderCompleted.reward;\\n\\t\\t\\t\\t// TODO remove order from the worker specific order queues\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\tif (payload instanceof PositionUpdate) {\\n\\n\\t\\t\\t\\tPositionUpdate positionUpdate = (PositionUpdate) message.getPayload();\\n\\t\\t\\t\\tupdateWorkerPosition(positionUpdate.position, positionUpdate.workerId);\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\tif (payload instanceof EndGameMessage) {\\n\\n\\t\\t\\t\\tEndGameMessage endGameMessage = (EndGameMessage) message.getPayload();\\n\\t\\t\\t\\t// TODO lernen lernen lernen lol\\n\\t\\t\\t\\tSystem.out.println(\\\"Reward: \\\" + endGameMessage.totalReward);\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\t}\",\n \"public interface SendService {\\n\\n public void sendMessage(RemotingCommand remotingCommand, long timeout);\\n}\",\n \"protected RemoteFactory.Agent.Component<Msg, Ref> newAgent() {\\n RemoteFactory.Agent<Msg, Ref> _implem = _createImplementationOfAgent();\\n return _implem._newComponent(new RemoteFactory.Agent.Requires<Msg, Ref>() {},true);\\n }\",\n \"@Override\\n\\tprotected void run(String[] args, SessionConfiguration config, Level logLevel)\\n\\t\\t\\tthrows SolclientException {\\n\\n\\t\\ttry {\\n\\n\\t\\t\\t// Determine the numberOfMessageToPublish\\n\\t\\t\\tint numberOfMessageToPublish = 10;\\n\\n\\t\\t\\tString strCount = config.getArgBag().get(\\\"-n\\\");\\n\\t\\t\\tif (strCount != null) {\\n\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\tnumberOfMessageToPublish = Integer.parseInt(strCount);\\n\\t\\t\\t\\t} catch (NumberFormatException e) {\\n\\t\\t\\t\\t\\tprintUsage(config instanceof SecureSessionConfiguration);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Init\\n\\t\\t\\tprint(\\\" Initializing the Java RTO Messaging API...\\\");\\n\\t\\t\\tint rc = Solclient.init(new String[0]);\\n\\t\\t\\tassertReturnCode(\\\"Solclient.init()\\\", rc, SolEnum.ReturnCode.OK);\\n\\n\\t\\t\\t// Set a log level (not necessary as there is a default)\\n\\t\\t\\tSolclient.setLogLevel(logLevel);\\n\\t\\t\\t\\n\\t\\t\\t// Context\\n\\t\\t\\tprint(\\\" Creating a context ...\\\");\\n\\t\\t\\trc = Solclient.createContextForHandle(contextHandle, new String[0]);\\n\\t\\t\\tassertReturnCode(\\\"Solclient.createContext()\\\", rc,\\n\\t\\t\\t\\t\\tSolEnum.ReturnCode.OK);\\n\\n\\t\\t\\t// Session\\n\\t\\t\\tprint(\\\" Creating a session ...\\\");\\n\\t\\t\\tString[] sessionProps = getSessionProps(config, 0);\\n\\t\\t\\tSessionEventCallback sessionEventCallback = getDefaultSessionEventCallback();\\n\\t\\t\\tMessageCallbackSample messageCallback = getMessageCallback(keepRxMsgs);\\n\\t\\t\\trc = contextHandle.createSessionForHandle(sessionHandle,\\n\\t\\t\\t\\t\\tsessionProps, messageCallback, sessionEventCallback);\\n\\t\\t\\tassertReturnCode(\\\"contextHandle.createSession()\\\", rc,\\n\\t\\t\\t\\t\\tSolEnum.ReturnCode.OK);\\n\\n\\t\\t\\t// Connect\\n\\t\\t\\tprint(\\\" Connecting session ...\\\");\\n\\t\\t\\trc = sessionHandle.connect();\\n\\t\\t\\tassertReturnCode(\\\"sessionHandle.connect()\\\", rc,\\n\\t\\t\\t\\t\\tSolEnum.ReturnCode.OK);\\n\\n\\t\\t\\t/*************************************************************************\\n\\t\\t\\t * Ensure the endpoint provisioning is supported\\n\\t\\t\\t *************************************************************************/\\n\\t\\t\\tprint(\\\"Checking for capability SOLCLIENT_SESSION_CAPABILITY_ENDPOINT_MANAGEMENT...\\\");\\n\\t\\t\\tif (!sessionHandle\\n\\t\\t\\t\\t\\t.isCapable(SolEnum.CapabilityName.CAPABILITY_ENDPOINT_MANAGEMENT)) {\\n\\t\\t\\t\\tthrow new RuntimeException(\\n\\t\\t\\t\\t\\t\\t\\\"Required Capability is not present: Endpoint management not supported.\\\");\\n\\t\\t\\t}\\n\\n\\t\\t\\t/*************************************************************************\\n\\t\\t\\t * Provision Queue\\n\\t\\t\\t *************************************************************************/\\n\\n\\t\\t\\t// Make a name\\n\\t\\t\\tString provQueueName = \\\"sample_queue_Provision__\\\"\\n\\t\\t\\t\\t\\t+ System.currentTimeMillis() % 100000;\\n\\n\\t\\t\\tprint(\\\"Provisioning queue \\\" + provQueueName + \\\"] ...\\\");\\n\\n\\n\\n\\t\\t\\t// Queue Properties\\n\\n\\t\\t\\tint queueProps = 0;\\n\\n\\t\\t\\tString[] queueProperties = new String[10];\\n\\n\\t\\t\\tqueueProperties[queueProps++] = Endpoint.PROPERTIES.PERMISSION;\\n\\t\\t\\tqueueProperties[queueProps++] = SolEnum.EndpointPermission.MODIFY_TOPIC;\\n\\n\\t\\t\\tqueueProperties[queueProps++] = Endpoint.PROPERTIES.QUOTA_MB;\\n\\t\\t\\tqueueProperties[queueProps++] = \\\"100\\\";\\n\\n\\t\\t\\tqueueProperties[queueProps++] = Endpoint.PROPERTIES.MAXMSG_REDELIVERY;\\n\\t\\t\\tqueueProperties[queueProps++] = \\\"15\\\";\\n\\t\\t\\t\\n\\t\\t\\t// The Queue with name\\n\\t\\t\\tqueue = Solclient.Allocator.newQueue(provQueueName,queueProperties);\\n\\n\\t\\t\\trc = sessionHandle.provision(queue, SolEnum.ProvisionFlags.WAIT_FOR_CONFIRM, 0);\\n\\t\\t\\tassertReturnCode(\\\"sessionHandle.provision()\\\", rc,\\n\\t\\t\\t\\t\\tSolEnum.ReturnCode.OK);\\n\\n\\t\\t\\t/*************************************************************************\\n\\t\\t\\t * Bind a Flow to the provisioned endpoint\\n\\t\\t\\t *************************************************************************/\\n\\n\\t\\t\\t// Flow Properties\\n\\t\\t\\tint flowProps = 0;\\n\\t\\t\\tString[] flowProperties = new String[10];\\n\\n\\t\\t\\tflowProperties[flowProps++] = FlowHandle.PROPERTIES.BIND_BLOCKING;\\n\\t\\t\\tflowProperties[flowProps++] = SolEnum.BooleanValue.DISABLE;\\n\\n\\t\\t\\t/* Set Acknowledge mode to CLIENT_ACK */\\n\\n\\t\\t\\tflowProperties[flowProps++] = FlowHandle.PROPERTIES.ACKMODE;\\n\\t\\t\\tflowProperties[flowProps++] = SolEnum.AckMode.CLIENT;\\n\\n\\t\\t\\tFlowEventCallback flowEventCallback = getDefaultFlowEventCallback();\\n\\n\\t\\t\\t/*************************************************************************\\n\\t\\t\\t * Creating flow\\n\\t\\t\\t *************************************************************************/\\n\\t\\t\\tprint(\\\"Creating flow\\\");\\n\\n\\t\\t\\t// Get a Handle flow\\n\\n\\t\\t\\trc = sessionHandle.createFlowForHandle(flowHandle, flowProperties,\\n\\t\\t\\t\\t\\tqueue, null, messageCallback, flowEventCallback);\\n\\n\\t\\t\\tassertReturnCode(\\\"sessionHandle.createFlowForHandle()\\\", rc,\\n\\t\\t\\t\\t\\tSolEnum.ReturnCode.IN_PROGRESS);\\n\\n\\t\\t\\t// Publish PERSISTENT messages to Queue\\n\\t\\t\\tfor (int i = 0; i < numberOfMessageToPublish; i++) {\\n\\t\\t\\t\\tcommon_publishMessage(sessionHandle, txMessageHandle, queue,\\n\\t\\t\\t\\t\\t\\tSolEnum.MessageDeliveryMode.PERSISTENT);\\n\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\tThread.sleep(200);\\n\\t\\t\\t\\t} catch (InterruptedException ie) {\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tThread.sleep(2000);\\n\\t\\t\\t} catch (InterruptedException ie) {\\n\\t\\t\\t}\\n\\n\\t\\t\\tassertExpectedCount(\\\"Received Message Count\\\",\\n\\t\\t\\t\\t\\tnumberOfMessageToPublish, messageCallback.getMessageCount());\\n\\n\\t\\t\\tprint(\\\"Test Passed\\\");\\n\\n\\t\\t} catch (Throwable t) {\\n\\t\\t\\terror(\\\"An error has occurred \\\", t);\\n\\t\\t}\\n\\n\\t}\",\n \"public RecibeMovimientoComportamiento(Agent a) {\\n super(a, MessageTemplate.and(MessageTemplate.MatchProtocol(\\n FIPANames.InteractionProtocol.FIPA_PROPOSE),\\n MessageTemplate.MatchPerformative(ACLMessage.PROPOSE)));\\n }\",\n \"public interface ProvDomainMgr extends ReqMsgClient\\n{\\n\\n /**\\n * Returns the message model type that this domain manager provides. The\\n * return value is one of the types defined in\\n * {@linkplain com.reuters.rfa.rdm.RDMMsgTypes}.\\n * \\n * @return the message model type that this domain manager provides.\\n */\\n short getMsgModelType();\\n\\n /**\\n * Returns the name of service that this domain manager provides.\\n * \\n * @return the name of service that this domain manager provides.\\n */\\n String getServiceName();\\n\\n /**\\n * Returns an OMMPool used by this domain manager.\\n * \\n * @return an OMMPool used by this domain manager.\\n */\\n OMMPool getPool();\\n\\n /**\\n * Sends an OMM message to a client.\\n * \\n * @param token the client request token\\n * @param encmsg the OMM message to submit\\n */\\n void submit(Token token, OMMMsg encmsg);\\n\\n}\",\n \"public interface Transport {\\n\\n /**\\n * This method returns id of the current transport\\n * @return\\n */\\n String id();\\n\\n /**\\n * This methos returns Id of the upstream node\\n * @return\\n */\\n String getUpstreamId();\\n\\n /**\\n * This method returns random\\n *\\n * @param id\\n * @param exclude\\n * @return\\n */\\n String getRandomDownstreamFrom(String id, String exclude);\\n\\n /**\\n * This method returns consumer that accepts messages for delivery\\n * @return\\n */\\n Consumer<VoidMessage> outgoingConsumer();\\n\\n /**\\n * This method returns flow of messages for parameter server\\n * @return\\n */\\n Publisher<INDArrayMessage> incomingPublisher();\\n\\n /**\\n * This method starts this Transport instance\\n */\\n void launch();\\n\\n /**\\n * This method will start this Transport instance\\n */\\n void launchAsMaster();\\n\\n /**\\n * This method shuts down this Transport instance\\n */\\n void shutdown();\\n\\n /**\\n * This method will send message to the network, using tree structure\\n * @param message\\n */\\n void propagateMessage(VoidMessage message, PropagationMode mode) throws IOException;\\n\\n /**\\n * This method will send message to the node specified by Id\\n *\\n * @param message\\n * @param id\\n */\\n void sendMessage(VoidMessage message, String id);\\n\\n /**\\n * This method will send message to specified node, and will return its response\\n *\\n * @param message\\n * @param id\\n * @param <T>\\n * @return\\n */\\n <T extends ResponseMessage> T sendMessageBlocking(RequestMessage message, String id) throws InterruptedException;\\n\\n /**\\n * This method will send message to specified node, and will return its response\\n *\\n * @param message\\n * @param id\\n * @param <T>\\n * @return\\n */\\n <T extends ResponseMessage> T sendMessageBlocking(RequestMessage message, String id, long waitTime, TimeUnit timeUnit) throws InterruptedException;\\n\\n /**\\n * This method will be invoked for all incoming messages\\n * PLEASE NOTE: this method is mostly suited for tests\\n *\\n * @param message\\n */\\n void processMessage(VoidMessage message);\\n\\n\\n /**\\n * This method allows to set callback instance, which will be called upon restart event\\n * @param callback\\n */\\n void setRestartCallback(RestartCallback callback);\\n\\n /**\\n * This methd allows to set callback instance for various\\n * @param cls\\n * @param callback\\n * @param <T1> RequestMessage class\\n * @param <T2> ResponseMessage class\\n */\\n <T extends RequestMessage> void addRequestConsumer(Class<T> cls, Consumer<T> consumer);\\n\\n /**\\n * This method will be called if mesh update was received\\n *\\n * PLEASE NOTE: This method will be called ONLY if new mesh differs from current one\\n * @param mesh\\n */\\n void onMeshUpdate(MeshOrganizer mesh);\\n\\n /**\\n * This method will be called upon remap request\\n * @param id\\n */\\n void onRemap(String id);\\n\\n /**\\n * This method returns total number of nodes known to this Transport\\n * @return\\n */\\n int totalNumberOfNodes();\\n\\n\\n /**\\n * This method returns ID of the root node\\n * @return\\n */\\n String getRootId();\\n\\n /**\\n * This method checks if all connections required for work are established\\n * @return true\\n */\\n boolean isConnected();\\n\\n /**\\n * This method checks if this node was properly introduced to driver\\n * @return\\n */\\n boolean isIntroduced();\\n\\n /**\\n * This method checks connection to the given node ID, and if it's not connected - establishes connection\\n * @param id\\n */\\n void ensureConnection(String id);\\n}\",\n \"public interface GoMailAgent {\\n\\n public int sendMessage(GoMailMessage mail, Properties properties, GoMailContext mailContext, Map<String, Object> vars) throws IOException;\\n}\",\n \"@Override\\r\\n\\t\\tpublic void action() {\\n\\t\\t\\tswitch (state) {\\r\\n\\t\\t\\tcase REGISTER:\\r\\n\\t\\t\\t\\tSystem.out.println(\\\"Philosopher Agent \\\"\\r\\n\\t\\t\\t\\t\\t\\t+ myAgent.getAID().getName()\\r\\n\\t\\t\\t\\t\\t\\t+ \\\" trying to register\\\");\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t// searching for waiter agent\\r\\n\\t\\t\\t\\twhile(waiter == null) {\\r\\n\\t\\t\\t\\t\\twaiter = searchWaiterAgent(\\\"waiter-service\\\");\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tACLMessage cfp = new ACLMessage(ACLMessage.CFP);\\r\\n\\t\\t\\t\\tcfp.addReceiver(waiter);\\r\\n\\t\\t\\t\\tcfp.setContent(\\\"philosopher-agent\\\");\\r\\n\\t\\t\\t\\tcfp.setConversationId(\\\"philosopher-waiter-fork\\\");\\r\\n\\t\\t\\t\\tcfp.setReplyWith(\\\"cfp\\\"+System.currentTimeMillis());\\r\\n\\t\\t\\t\\tSystem.out.println(\\\"Philosopher Agent \\\"\\r\\n\\t\\t\\t\\t\\t\\t+ myAgent.getAID().getName()\\r\\n\\t\\t\\t\\t\\t\\t+ \\\" send registration request \\\" + cfp);\\r\\n\\t\\t\\t\\tmyAgent.send(cfp);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t// Prepare template to get response\\r\\n\\t\\t\\t\\t//mt = MessageTemplate.and(MessageTemplate.MatchConversationId(\\\"philosopher-waiter-fork\\\"),\\r\\n\\t\\t\\t\\t//\\t\\tMessageTemplate.MatchInReplyTo(request.getReplyWith()));\\r\\n\\t\\t\\t\\tmt = MessageTemplate.MatchConversationId(\\\"philosopher-waiter-fork\\\");\\r\\n\\t\\t\\t\\tstate = State.REGISTERED;\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\tcase REGISTERED:\\r\\n\\t\\t\\t\\tACLMessage response = myAgent.receive();\\r\\n\\t\\t\\t\\tif (response != null && response.getConversationId().equals(\\\"philosopher-waiter-fork\\\")) {\\r\\n\\t\\t\\t\\t\\tif (response.getPerformative() == ACLMessage.SUBSCRIBE) {\\r\\n\\t\\t\\t\\t\\t\\t// behaviour can be finished\\r\\n\\t\\t\\t\\t\\t\\tregistered = true;\\r\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"Philosopher Agent \\\"\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t+ myAgent.getAID().getName()\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t+ \\\" registered Successfully\\\");\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\telse {\\r\\n\\t\\t\\t\\t\\t\\tregistered = false;\\r\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"Philosopher Agent \\\"\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t+ myAgent.getAID().getName()\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t+ \\\" registration in progress\\\");\\r\\n\\t\\t\\t\\t\\t\\tstate = State.REGISTER;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse {\\r\\n\\t\\t\\t\\t\\tSystem.out.println(myAgent.getAID().getName() + \\\" blocked\\\");\\r\\n\\t\\t\\t\\t\\tblock();\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\r\\n\\t\\t\\tdefault:\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\",\n \"protected void setup(){\\n\\n\\t\\tsuper.setup();\\n\\n\\t\\tfinal Object[] args = getArguments();\\n\\t\\tif(args!=null && args[0]!=null && args[1]!=null){\\n\\t\\t\\tdeployAgent((Environment) args[0],(EntityType)args[1]);\\n\\t\\t}else{\\n\\t\\t\\tSystem.err.println(\\\"Malfunction during parameter's loading of agent\\\"+ this.getClass().getName());\\n System.exit(-1);\\n }\\n\\t\\t\\n\\t\\t//############ PARAMS ##########\\n\\n\\t\\tthis.nbmodifsmin \\t\\t= 30;\\t\\t\\t//nb modifs minimum pour renvoyer la carte\\n\\t\\tthis.timeOut \\t\\t\\t= 1000 * 4;\\t\\t//secondes pour timeout des messages (*1000 car il faut en ms)\\n\\t\\tthis.sleepbetweenmove \\t= 200;\\t\\t\\t//in MS\\n\\t\\tthis.nbmoverandom\\t\\t= 4;\\t\\t\\t// nb random moves by default\\n\\t\\t\\n\\t\\t//#############################\\n\\t\\t//setup graph\\n\\t\\t//setupgraph();\\n\\t\\tthis.graph = new SingleGraph(\\\"graphAgent\\\");\\n\\t\\tinitMyGraph();\\n\\t\\tthis.step = 0;\\n\\t\\tthis.stepMap = new HashMap<String, Integer>();\\n\\t\\tthis.path = new ArrayList<String>();\\n\\t\\tthis.mailbox = new Messages(this);\\n\\t\\tthis.lastMsg = null;\\n\\t\\tthis.switchPath = true;\\n\\t\\tthis.lastsender = null;\\n\\t\\tthis.lastSentMap = new HashMap<String, Integer>(); //nbmodifs\\n\\t\\tthis.remakepath = false; // changes to true if the map changed in a way that requires a new path\\n\\t\\tthis.nbmoverandomoriginal = this.nbmoverandom;\\n\\t\\t\\n\\t\\tthis.toSendMap = new HashMap<String, Graph>(); //actual hashmap graph\\n\\t\\t\\n\\t\\tSystem.out.println(\\\"the agent \\\"+this.getLocalName()+ \\\" is started\\\");\\n\\t}\",\n \"public interface UMOMessageReceiver extends Lifecycle, UMOConnectable\\n{\\n /**\\n * @return the receivers endpoint\\n */\\n UMOImmutableEndpoint getEndpoint();\\n\\n /**\\n * @param message\\n * @param exception\\n */\\n // void handleException(Object message, Throwable exception);\\n /**\\n * @return the component associated with the receiver\\n */\\n UMOComponent getComponent();\\n\\n /**\\n * @param endpoint the endpoint to listen on\\n * @see UMOImmutableEndpoint\\n */\\n void setEndpoint(UMOImmutableEndpoint endpoint);\\n\\n /**\\n * @param component the component to associate with the receiver. When data is\\n * received the component <code>dispatchEvent</code> or\\n * <code>sendEvent</code> is used to dispatch the data to the\\n * relivant UMO.\\n */\\n void setComponent(UMOComponent component);\\n\\n void setConnector(UMOConnector connector);\\n\\n UMOConnector getConnector();\\n\\n /**\\n * The endpointUri that this receiver listens on\\n * \\n * @return\\n */\\n UMOEndpointURI getEndpointURI();\\n\\n String getReceiverKey();\\n\\n void setReceiverKey(String key);\\n\\n UMOMessage routeMessage(UMOMessage message) throws UMOException;\\n\\n UMOMessage routeMessage(UMOMessage message, boolean synchronous) throws UMOException;\\n\\n UMOMessage routeMessage(UMOMessage message, UMOTransaction trans, boolean synchronous)\\n throws UMOException;\\n\\n UMOMessage routeMessage(UMOMessage message, OutputStream outputStream) throws UMOException;\\n\\n UMOMessage routeMessage(UMOMessage message, boolean synchronous, OutputStream outputStream)\\n throws UMOException;\\n\\n UMOMessage routeMessage(UMOMessage message,\\n UMOTransaction trans,\\n boolean synchronous,\\n OutputStream outputStream) throws UMOException;\\n\\n}\",\n \"@Override\\r\\n\\tprotected void setup() {\\n\\t\\tlog=LogManager.getLogger();\\r\\n\\t\\tmyAgent.addGoal(new SendMsgGoal());\\r\\n//\\t\\tlog.info(\\\"Send message goal is added\\\");\\r\\n\\t\\t\\r\\n\\t}\",\n \"protected void setup() {\\n\\t\\tSystem.out.println(\\\"Messenger agent \\\"+getAID().getName()+\\\" is ready.\\\");\\r\\n\\t\\tagentList = new ArrayList();\\r\\n\\t\\trefreshActiveAgents();\\r\\n\\r\\n\\t\\tmessageGUI = new MessageAgentGui(this);\\r\\n\\t\\tmessageGUI.displayGUI();\\r\\n\\r\\n\\t\\tDFAgentDescription dfd = new DFAgentDescription();\\r\\n\\t\\tdfd.setName(getAID());\\r\\n\\t\\tServiceDescription sd = new ServiceDescription();\\r\\n\\t\\tsd.setType(\\\"messenger-agent\\\");\\r\\n\\t\\tsd.setName(getLocalName()+\\\"-Messenger agent\\\");\\r\\n\\t\\tdfd.addServices(sd);\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tDFService.register(this, dfd);\\r\\n\\t\\t}\\r\\n\\t\\tcatch (FIPAException fe) {\\r\\n\\t\\t\\tfe.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t\\taddBehaviour(new ReceiveMessage());\\r\\n\\t}\",\n \"public interface Communicator {\\n\\n\\n public void sendData(String string);\\n public void sendNIDcardObject(NIDCard nidCard);\\n public void startWelcomeFragment();\\n public void stopWelcomeFragment();\\n public void startStepOne();\\n}\",\n \"public interface AMQPIntegratorService {\\n\\n\\tvoid queueMessage(MailStructure email);\\n}\",\n \"public RemoteFactory.Agent<Msg, Ref> _createImplementationOfAgent() {\\n RemoteFactory.Agent<Msg, Ref> implem = make_Agent();\\n if (implem == null) {\\n \\tthrow new RuntimeException(\\\"make_Agent() in fr.irit.smac.may.lib.classic.remote.RemoteFactory should not return null.\\\");\\n }\\n assert implem.ecosystemComponent == null: \\\"This is a bug.\\\";\\n assert this.selfComponent != null: \\\"This is a bug.\\\";\\n implem.ecosystemComponent = this.selfComponent;\\n return implem;\\n }\",\n \"Communicator createCommunicator();\",\n \"private void createAgent(Class<?> clazz, String name) {\\r\\n try {\\r\\n // Fill description of an agent to be created\\r\\n CreateAgent ca = new CreateAgent();\\r\\n ca.setAgentName(name);\\r\\n ca.setClassName(clazz.getCanonicalName());\\r\\n ca.setContainer(container);\\r\\n\\r\\n Action act = new Action(getAMS(), ca);\\r\\n ACLMessage req = new ACLMessage(ACLMessage.REQUEST);\\r\\n req.addReceiver(getAMS());\\r\\n req.setOntology(ontology.getName());\\r\\n req.setLanguage(FIPANames.ContentLanguage.FIPA_SL);\\r\\n req.setProtocol(FIPANames.InteractionProtocol.FIPA_REQUEST);\\r\\n getContentManager().fillContent(req, act);\\r\\n \\r\\n // AMS sends a response, \\r\\n addBehaviour(new AchieveREInitiator(this, req) {\\r\\n @Override\\r\\n protected void handleInform(ACLMessage inform) {\\r\\n logger.severe(\\\"Success\\\");\\r\\n }\\r\\n\\r\\n @Override\\r\\n protected void handleFailure(ACLMessage inform) {\\r\\n logger.severe(\\\"Failure\\\");\\r\\n }\\r\\n });\\r\\n } catch (CodecException | OntologyException e) {\\r\\n ByteArrayOutputStream out = new ByteArrayOutputStream();\\r\\n PrintStream printer = new PrintStream(out);\\r\\n e.printStackTrace(printer);\\r\\n logger.severe(out.toString());\\r\\n }\\r\\n }\",\n \"public ClientNaiveAgent() {\\n // the default ip is the localhost\\n ar = new ClientActionRobotJava(\\\"127.0.0.1\\\");\\n tp = new TrajectoryPlanner();\\n randomGenerator = new Random();\\n }\",\n \"public interface Sendable {\\n\\n}\",\n \"Agent getAgent();\",\n \"public interface Comunicator {\\n \\n\\n}\",\n \"public interface RpcClient {\\r\\n\\r\\n\\t/**\\r\\n\\t * Initializes this RpcClient\\r\\n\\t */\\r\\n\\tpublic void initialize();\\r\\n\\t\\r\\n\\t/**\\r\\n\\t * Sends the specified object and waits for a response message (or) the specified timeout to occur. Keeps the connection open for further \\r\\n\\t * send requests. Note that clients of this RPCClient must call {@link RPCClient#closeConnections()} when done using this RPCClient.\\r\\n\\t * This method performs to-and-from conversion of the specified object to a raw byte array when publishing it to the queue / consuming off it. \\r\\n\\t * @param message the message to be sent\\r\\n\\t * @param timeout the timeout duration in milliseconds\\r\\n\\t * @return response Object from the RPC message call\\r\\n\\t * @throws MessagingTimeoutException in case the specified timeout occurs\\r\\n\\t * @throws MessagingException in case of errors in message publishing\\r\\n\\t */\\r\\n\\tpublic Object send(Object message, int timeout) throws MessagingTimeoutException, MessagingException;\\r\\n\\r\\n\\t/**\\r\\n\\t * Sends the specified String and waits for a response message (or) the specified timeout to occur. Keeps the connection open for further \\r\\n\\t * send requests. Note that clients of this RPCClient must call {@link RPCClient#closeConnections()} when done using this RPCClient.\\r\\n\\t * This method performs to-and-from conversion of the specified object to UTF-8 encoded byte array when publishing it to the queue / consuming off it. \\r\\n\\t * @param message the String message to be sent\\r\\n\\t * @param timeout the timeout duration in milliseconds\\r\\n\\t * @return response String from the RPC message call\\r\\n\\t * @throws MessagingTimeoutException in case the specified timeout occurs\\r\\n\\t * @throws MessagingException in case of errors in message publishing\\r\\n\\t */\\r\\n\\tpublic String sendString(String message , int timeout) throws MessagingTimeoutException, MessagingException;\\r\\n\\t\\r\\n\\t/**\\r\\n\\t * Closes connection related objects used by this RpcClient.\\r\\n\\t * @throws MessagingException in case of errors closing connections to the underlying messaging system.\\r\\n\\t */\\r\\n\\tpublic void closeConnections() throws MessagingException;\\r\\n\\t\\r\\n}\",\n \"public interface Sender {\\n\\n public void send();\\n}\",\n \"public interface Sender {\\n\\n public void send();\\n}\",\n \"public interface Sender {\\r\\n public void send();\\r\\n}\",\n \"@Override\\n public void action() {\\n ACLMessage acl = blockingReceive();\\n System.err.println(\\\"Hola, que gusto \\\" + acl.getSender() + \\\", yo soy \\\" + getAgent().getName());\\n new EnviarMensaje().enviarMensajeString(ACLMessage.INFORM, \\\"Ag4\\\", getAgent(), \\\"Hola agente, soy \\\" + getAgent().getName(),\\n \\\"COD0001\\\");\\n }\",\n \"public static void main(String[] args) throws Exception {\\n final Key key = KeyGenerator.getInstance(\\\"\\\").generateKey();\\n\\n final Environment env = new Environment();\\n\\n env.add(new Agent(\\\"alice\\\") {\\n @Override\\n public void task() throws Exception {\\n final String text = \\\"I hope you get this message intact and in secret. Kisses, Alice.\\\";\\n final byte[] pt = text.getBytes(StandardCharsets.UTF_8);\\n send(\\\"bob\\\", pt);\\n\\n }\\n });\\n\\n env.add(new Agent(\\\"bob\\\") {\\n @Override\\n public void task() throws Exception {\\n\\n }\\n });\\n\\n env.connect(\\\"alice\\\", \\\"bob\\\");\\n env.start();\\n }\",\n \"public interface Sender {\\n public void send();\\n}\",\n \"protected void setup(){\\n this.setEnabledO2ACommunication(true, 0);\\n \\n showMessage(\\\"Agent (\\\" + getLocalName() + \\\") .... [OK]\\\");\\n \\n // Register the agent to the DF\\n ServiceDescription sd1 = new ServiceDescription();\\n sd1.setType(UtilsAgents.BOAT_COORDINATOR);\\n sd1.setName(getLocalName());\\n sd1.setOwnership(UtilsAgents.OWNER);\\n DFAgentDescription dfd = new DFAgentDescription();\\n dfd.addServices(sd1);\\n dfd.setName(getAID());\\n try {\\n DFService.register(this, dfd);\\n showMessage(\\\"Registered to the DF\\\");\\n }catch (FIPAException e) {\\n System.err.println(getLocalName() + \\\" registration with DF \\\" + \\\"unsucceeded. Reason: \\\" + e.getMessage());\\n doDelete();\\n }\\n \\n //Search for the CentralAgent\\n ServiceDescription searchBoatCoordCriteria = new ServiceDescription();\\n searchBoatCoordCriteria.setType(UtilsAgents.COORDINATOR_AGENT);\\n this.coordinatorAgent = UtilsAgents.searchAgent(this, searchBoatCoordCriteria);\\n\\n // Register response behaviours\\n //TODO canviar i posar l'altra content\\n MessageTemplate mt = MessageTemplate.MatchContent(\\\"Movement request\\\");\\n this.addBehaviour(new RequestResponseBehaviour(this,mt ));\\n }\",\n \"protected void setup() {\\n\\t\\tSystem.out.println(\\\"Broker Agent \\\"+getAID().getName()+\\\" is ready.\\\");\\r\\n\\t\\tthis.getContentManager().registerLanguage(new SLCodec());\\r\\n\\t\\tthis.getContentManager().registerOntology(RequestOntology.getInstance());\\r\\n\\t\\t\\r\\n\\t\\tObject[] args = getArguments();\\r\\n\\t\\tif (args != null && args.length > 0) {\\r\\n\\t\\t\\tprice = (String) args[0];\\r\\n\\t\\t\\tvolume= (String) args[1];\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tDFAgentDescription dfd = new DFAgentDescription();\\r\\n\\t\\t\\tdfd.setName(getAID());\\r\\n\\t\\t\\tServiceDescription sd = new ServiceDescription();\\r\\n\\t\\t\\tsd.setType(\\\"energy-selling\\\");\\r\\n\\t\\t\\tsd.setName(\\\"Energy-Broker\\\");\\r\\n\\t\\t\\tdfd.addServices(sd);\\r\\n\\t\\t\\ttry {\\r\\n\\t\\t\\t\\tDFService.register(this, dfd);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tcatch (FIPAException fe) {\\r\\n\\t\\t\\t\\tfe.printStackTrace();\\r\\n\\t\\t\\t}\\t\\t\\t\\r\\n\\t\\t}\\r\\n\\t\\telse{\\r\\n\\t\\t\\tSystem.out.println(getAID().getName()+\\\" No available arguments\\\");\\r\\n\\t\\t\\tdoDelete();\\r\\n\\t\\t}\\r\\n\\t\\taddBehaviour(new BOReply(this));\\r\\n\\t}\",\n \"public interface LongProcessOperations \\n{\\n ServoConRemote.LongProcessPackage.Status Completed ();\\n\\n //message is empty on success\\n String Message ();\\n double Progress ();\\n void Detach ();\\n}\",\n \"private void createAgent() {\\n logger.info(\\\"Creating agent\\\");\\n iteration = 0;\\n aiManager = new AIManager(configDialogInfo);\\n aiManager.getAgent().addObserver(\\\"gameEngine\\\", this);\\n AIBirth.generate(aiManager.getAgent());\\n aiManager.start();\\n }\",\n \"@Override\\n\\tprotected void doAsyncExecute(VoiceMessage requestMessage) {\\n\\n\\t}\",\n \"public interface EventBusProducer {\\n void post(final Answer answer);\\n}\",\n \"public void send(Message msg);\",\n \"public ActingGoal() {\\n\\t\\t// rosbridge compatibility issues\\n\\t}\",\n \"public Communicator() {\\n\\n\\t\\tthis.isReady = false;\\n\\t\\tthis.hold = 0;\\n\\t\\tthis.speaker = 0;\\n\\t\\tthis.listener = 0;\\n\\t\\t//init values\\n\\n\\t\\tthis.newLock = new Lock();\\n\\t\\t//new lock\\n\\t\\tthis.speakerR = new Condition2(newLock);\\n\\t\\t//condition variable for speakers\\n\\t\\tthis.listenerR = new Condition2(newLock);\\n\\t\\t//condition variable for listener\\n\\t\\tthis.inProg = new Condition2(newLock);\\n\\t\\t//condition variable for inprog message\\n\\n\\t}\",\n \"public interface Pipeline {\\n void pushMessage(ChatMessage message);\\n}\",\n \"@Override\\n public void action() {\\n ACLMessage acl = receive();\\n if (acl != null) {\\n if (acl.getPerformative() == ACLMessage.REQUEST) {\\n try {\\n ContentElement elemento = myAgent.getContentManager().extractContent(acl);\\n if (elemento instanceof PublicarServicio) {\\n PublicarServicio publicar = (PublicarServicio) elemento;\\n Servicio servicio = publicar.getServicio();\\n jadeContainer.iniciarChat(servicio.getTipo(), servicio.getDescripcion());\\n //myAgent.addBehaviour(new IniciarChatBehaviour(myAgent, servicio.getTipo(), servicio.getDescripcion()));\\n } else if (elemento instanceof EnviarMensaje) {\\n EnviarMensaje enviar = (EnviarMensaje) elemento;\\n Mensaje mensaje = enviar.getMensaje();\\n jadeContainer.enviarMensajeChatJXTA(mensaje.getRemitente(), mensaje.getMensaje());\\n }\\n } catch (CodecException ex) {\\n System.out.println(\\\"CodecException: \\\" + ex.getMessage());\\n } catch (UngroundedException ex) {\\n System.out.println(\\\"UngroundedException: \\\" + ex.getMessage());\\n } catch (OntologyException ex) {\\n System.out.println(\\\"OntologyException: \\\" + ex.getMessage());\\n }\\n }\\n } else {\\n block();\\n }\\n }\",\n \"public interface EmailService {\\n\\n Boolean send(Greeting greeting);\\n\\n void sendAsync(Greeting greeting);\\n\\n CompletableFuture<Boolean> sendAsyncWithResults(Greeting greeting);\\n}\",\n \"@Override\\n public void createNewContractAgent(Messages.ContractProposalResponse msg) {\\n spawn(\\n DefaultContractVisualization.class,\\n a -> {\\n a.contId = msg.contId;\\n a.contSize = msg.contSize;\\n a.contDuration = msg.contDuration;\\n a.contSpecialization = msg.contSpecialization;\\n a.dbContSpecialization = msg.contSpecialization.toString();\\n a.addLink(getID(), Links.ContractToClient.class);\\n msg.lastContract.addContractVisualization(a);\\n });\\n }\",\n \"private void send() {\\n vertx.eventBus().publish(GeneratorConfigVerticle.ADDRESS, toJson());\\n }\",\n \"public interface InviteService extends Service, ActorService {\\r\\n\\r\\n @AsyncInvocation\\r\\n void save();\\r\\n @AsyncInvocation\\r\\n void insert(DbRow dbRow);\\r\\n @AsyncInvocation\\r\\n void update(DbRow dbRow);\\r\\n @AsyncInvocation\\r\\n void bindInviteCode(RoleInvitePo roleInvitePoFrom, RoleBeInvitePo roleBeInvitePo);\\r\\n\\r\\n}\",\n \"public interface MessageProducer {\\n String getMessage();\\n}\",\n \"public interface Provider {\\n public Sender produce();\\n}\",\n \"public interface AmqpServer extends Entity {\\n \\n /* AMQP protocol version strings. */\\n\\n String AMQP_0_8 = \\\"0-8\\\";\\n String AMQP_0_9 = \\\"0-9\\\";\\n String AMQP_0_9_1 = \\\"0-9-1\\\";\\n String AMQP_0_10 = \\\"0-10\\\";\\n String AMQP_1_0 = \\\"1-0\\\";\\n\\n PortAttributeSensorAndConfigKey AMQP_PORT = Attributes.AMQP_PORT;\\n\\n BasicAttributeSensorAndConfigKey<String> VIRTUAL_HOST_NAME = new BasicAttributeSensorAndConfigKey<String>(\\n String.class, \\\"amqp.virtualHost\\\", \\\"AMQP virtual host name\\\", \\\"localhost\\\");\\n\\n BasicAttributeSensorAndConfigKey<String> AMQP_VERSION = new BasicAttributeSensorAndConfigKey<String>(\\n String.class, \\\"amqp.version\\\", \\\"AMQP protocol version\\\");\\n\\n String getVirtualHost();\\n\\n String getAmqpVersion();\\n\\n Integer getAmqpPort();\\n}\",\n \"public Odi11AgentImpl() {\\n }\",\n \"public AmqpMessage() {}\",\n \"public static void helloAgent(){\\n\\t\\tHelloAgent agent = new HelloAgent();\\r\\n\\t\\r\\n\\t}\",\n \"public interface ProducerService {\\n}\",\n \"public SendVoice() {\\n super();\\n }\",\n \"public static void main(String[] args) {\\n\\t\\tProduce p = new Produce();\\n\\t\\tp.get();\\n\\t\\tp.put();\\n\\t\\tp.send();\\n\\t}\",\n \"public interface Mailbox {\\n void send(@NotNull ActorsHolder holder, @NotNull ActorRef ref, @NotNull ActorTask task);\\n}\",\n \"public interface MessageTransceiver {\\n\\n public void shutdown();\\n\\n public void send(Serializable message) throws MessageException;\\n\\n public void addMessageListener(MessageListener l);\\n\\n public void removeMessageListener(MessageListener l);\\n\\n}\",\n \"RequestSender onAgree(Consumer<Message> consumer);\",\n \"public interface P2P {\\n\\n\\t/**\\n\\t * Start the P2P system with given servent and router system\\n\\t * \\n\\t * @param servent\\n\\t * @param router\\n\\t */\\n\\tpublic void start(NServent servent, Router router);\\n\\n\\t/**\\n\\t * disconnect from the p2p network\\n\\t */\\n\\tpublic void stop();\\n\\n\\t/**\\n\\t * connect to a p2p network\\n\\t */\\n\\tpublic void connectTo(NAddress address) throws IOException;\\n\\n\\t/**\\n\\t * send msg to all users\\n\\t * \\n\\t * @param msg\\n\\t */\\n\\tpublic void broadcast(Object msg);\\n\\n\\t/**\\n\\t * send msg to some users contained in dests set\\n\\t * \\n\\t * @param msg\\n\\t */\\n\\tpublic void anycast(Set<P2PUser> dests, Object msg);\\n\\n\\t/**\\n\\t * send the message msg to user dest, the routing system will be used\\n\\t * \\n\\t * @param dest\\n\\t * @param msg\\n\\t * @throws IOException\\n\\t */\\n\\tpublic void sendTo(P2PUser dest, Object msg) throws IOException;\\n\\n\\t/**\\n\\t * get the p2p network user set\\n\\t * \\n\\t * @return\\n\\t */\\n\\tpublic Set<P2PUser> getUsers();\\n\\n\\t/**\\n\\t * Find the user with the address given, return null if not present\\n\\t * \\n\\t * @param address\\n\\t * @return user with address given\\n\\t */\\n\\tpublic P2PUser getUser(NAddress address);\\n\\n\\t/**\\n\\t * Find the user binded with the pair given, return null if not present\\n\\t * \\n\\t * @param address\\n\\t * @return user with address given\\n\\t */\\n\\tpublic P2PUser getUser(NPair pair);\\n\\n\\t/**\\n\\t * Set the handler, its functions will be called when a corresponding event\\n\\t * will occur\\n\\t * \\n\\t * @param handler\\n\\t */\\n\\tpublic void setP2PHandler(P2PHandler handler);\\n\\n\\t/**\\n\\t * Return the Router currently used by the P2P system\\n\\t * \\n\\t * @return\\n\\t */\\n\\tpublic Router getRouter();\\n\\n\\t/**\\n\\t * Return the NServent currently used by P2P the system\\n\\t * \\n\\t * @return\\n\\t */\\n\\tpublic NServent getNServent();\\n}\",\n \"public interface BrokerInterface extends Remote {\\n /**\\n * Subscribes to a game\\n * @param subscriber the interface on which the broker calls the dispatch message method\\n * @param clientId the unique id of the client to find in which game it belongs\\n * @throws RemoteException\\n */\\n public void subscribe(SubscriberInterface subscriber, UUID clientId) throws RemoteException;\\n}\",\n \"Future<Message> send();\",\n \"public AbstractMessageProducer() {\\n }\",\n \"public QLearnAgent() {\\n\\t\\tthis(name);\\t\\n\\t}\",\n \"public interface IMqService {\\n /*发送消息到队列的方法，其中TerminalStateProtoBuf是proto格式的消息，根据实际情况更改*/\\n /*\\n void reportTerminalState(String restaurantId,TerminalStateProtoBuf.TerminalState.StateType stateType);\\n */\\n}\",\n \"public interface RobotCommunicationProtocol {\\n}\",\n \"@DSSafe(DSCat.IPC_CALLBACK)\\n @DSGenerator(tool_name = \\\"Doppelganger\\\", tool_version = \\\"2.0\\\", generated_on = \\\"2013-12-30 12:59:45.580 -0500\\\", hash_original_method = \\\"2469457C965E8FC7C139A1D414384428\\\", hash_generated_method = \\\"42C86E9B0B120923F19E3F5FDF13C046\\\")\\n \\n@Override\\n public void handleMessage(Message msg) {\\n mResultMsg = Message.obtain();\\n mResultMsg.copyFrom(msg);\\n synchronized(mLockObject) {\\n mLockObject.notify();\\n }\\n }\",\n \"public PromoMessages() {\\n }\",\n \"ClientMessageSender() {\\n\\n\\t}\",\n \"public AmqpMessage()\\n {\\n this(Proton.message(), null, null);\\n setDurable(true);\\n }\",\n \"private MsgExecuteContract(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {\\n super(builder);\\n }\",\n \"CompletableFuture<Exchange> asyncSend(Endpoint endpoint, Processor processor);\",\n \"public static void main(String[] argv) throws Exception {\\n ConnectionFactory factory = new ConnectionFactory();\\n // Specify the address of the MOM server\\n factory.setHost(\\\"localhost\\\");\\n // Create a new connection to the MOM\\n Connection connection = factory.newConnection();\\n // Create a new channel within this connection\\n // to consume and to produce messages\\n Channel channel = connection.createChannel();\\n // Declare the queue to be used with the parameters:\\n // durable:false, exclusive: false, autodelete:false,\\n // additional-arguments:null\\n channel.queueDeclare(QUEUE_NAME, false, false, false, null);\\n // Prepare the message\\n String message = \\\"Hello World!\\\";\\n // Send the message to the queue\\n channel.basicPublish(\\\"\\\", QUEUE_NAME, null, message.getBytes(\\\"UTF-8\\\"));\\n System.out.println(\\\" [x] Sent '\\\" + message + \\\"'\\\");\\n // Close the channel and the connection and finish the execution\\n channel.close();\\n connection.close();\\n }\",\n \"public interface OnSendListener {\\n void onSend();\\n}\",\n \"protected void setup() {\\n DFAgentDescription dfd = new DFAgentDescription();\\n dfd.setName(getAID());\\n ServiceDescription sd = new ServiceDescription();\\n sd.setName(\\\"Storage Agent\\\");\\n sd.setType(\\\"Storage\\\");\\n dfd.addServices(sd);\\n try {\\n DFService.register(this, dfd);\\n } catch (FIPAException fe) {\\n fe.printStackTrace();\\n }\\n waitForAgents = new waitAgents();\\n receiveAgents = new receiveFromAgents();\\n operate = new opMicrogrid();\\n decision = new takeDecision();\\n\\n addBehaviour(waitForAgents);\\n\\n //add a ticker behavior to monitor PV production, disable PLay button in the meanwhile\\n addBehaviour(new TickerBehaviour(this, 5000) {\\n protected void onTick() {\\n if (AgentsUp == 0) {\\n appletVal.playButton.setEnabled(false);\\n ACLMessage msg = new ACLMessage(ACLMessage.INFORM);\\n msg.addReceiver(new AID(AgentAIDs[2].getLocalName(), AID.ISLOCALNAME));\\n msg.setContent(\\\"Inform!!!\\\");\\n send(msg);\\n String stripedValue = \\\"\\\";\\n msg = receive();\\n if (msg != null) {\\n // Message received. Process it\\n String val = msg.getContent().toString();\\n stripedValue = (val.replaceAll(\\\"[\\\\\\\\s+a-zA-Z :]\\\", \\\"\\\"));\\n //PV\\n if (val.contains(\\\"PV\\\")) {\\n System.out.println(val);\\n PV = Double.parseDouble(stripedValue);\\n appletVal.playButton.setEnabled(true);\\n appletVal.SetAgentData(PV, 0, 2);\\n }\\n\\n } else {\\n block();\\n }\\n\\n }\\n }\\n });\\n\\n }\",\n \"public interface IGoapUnit {\\r\\n\\t/**\\r\\n\\t * Gets called when a plan was found by the planner.\\r\\n\\t * \\r\\n\\t * @param actions\\r\\n\\t * the actions the unit hat to take in order to archive the goal.\\r\\n\\t */\\r\\n\\tpublic void goapPlanFound(Queue<GoapAction> actions);\\r\\n\\r\\n\\t/**\\r\\n\\t * Gets called when a plan failed to execute.\\r\\n\\t *\\r\\n\\t * @param actions\\r\\n\\t * the remaining actions in the action Queue that failed.\\r\\n\\t */\\r\\n\\tpublic void goapPlanFailed(Queue<GoapAction> actions);\\r\\n\\r\\n\\t/**\\r\\n\\t * Gets called when a plan was finished.\\r\\n\\t */\\r\\n\\tpublic void goapPlanFinished();\\r\\n\\r\\n\\t/**\\r\\n\\t * General update from the Agent. Called in a loop until the program ends.\\r\\n\\t */\\r\\n\\tpublic void update();\\r\\n\\r\\n\\t/**\\r\\n\\t * Function to move to a specific location. Gets called by the moveToState\\r\\n\\t * when the unit has to move to a certain target.\\r\\n\\t *\\r\\n\\t * @param target\\r\\n\\t * the target the unit has to move to.\\r\\n\\t * @return true or false depending if the unit was able to move.\\r\\n\\t */\\r\\n\\tpublic boolean moveTo(Object target);\\r\\n\\t\\r\\n\\tpublic HashSet<GoapState> getWorldState();\\r\\n\\tpublic List<GoapState> getGoalState();\\r\\n\\tpublic HashSet<GoapAction> getAvailableActions();\\r\\n}\",\n \"private Agent(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {\\n super(builder);\\n }\",\n \"public interface ServeurCORBA {\\n\\t\\n\\t// ################################ METHODE DE CREATION / ENVOI / SUPPRESSION ################################ \\n\\t\\n\\t/**\\n\\t * @param idee\\n\\t * @param identification\\n\\t * @param callback\\n\\t */\\n\\tpublic void creerIdee(final IIdee idee, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param idee\\n\\t * @param mode\\n\\t * @param identification\\n\\t * @param callback\\n\\t */\\n\\tpublic void envoyerIdee(final IIdee idee, final ModeDeMiseAJour mode, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param idee\\n\\t * @param identification\\n\\t * @param callback\\n\\t */\\n\\tpublic void supprimerIdee(final IIdee idee, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param idee\\n\\t * @param tache\\n\\t * @param identification\\n\\t * @param callback\\n\\t */\\n\\tpublic void creerTache(final IIdee idee, final ITache tache, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param tache\\n\\t * @param mode\\n\\t * @param identification\\n\\t * @param callback\\n\\t */\\n\\tpublic void envoyerTache(final ITache tache, final ModeDeMiseAJour mode, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param tache\\n\\t * @param identification\\n\\t * @param callback\\n\\t */\\n\\tpublic void supprimerTache(final ITache tache, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param idee\\n\\t * @param projet\\n\\t * @param identification\\n\\t * @param callback\\n\\t */\\n\\tpublic void creerProjet(final IIdee idee, final IProjet projet, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param projet\\n\\t * @param mode\\n\\t * @param identification\\n\\t * @param callback\\n\\t */\\n\\tpublic void envoyerProjet(final IProjet projet, final ModeDeMiseAJour mode, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param projet\\n\\t * @param identification\\n\\t * @param callback\\n\\t */\\n\\tpublic void supprimerProjet(final IProjet projet, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param contexte\\n\\t * @param identification\\n\\t * @param callback\\n\\t * @throws RemoteException\\n\\t */\\n\\tpublic void creerContexte(final IObjetServeur contexte, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param contexte\\n\\t * @param mode\\n\\t * @param identification\\n\\t * @param callback\\n\\t * @throws RemoteException\\n\\t */\\n\\tpublic void envoyerContexte(final IObjetServeur contexte, final ModeDeMiseAJour mode, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param contexte\\n\\t * @param identification\\n\\t * @param callback\\n\\t * @throws RemoteException\\n\\t */\\n\\tpublic void supprimerContexte(final IObjetServeur contexte, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param tag\\n\\t * @param identification\\n\\t * @param callback\\n\\t * @throws RemoteException\\n\\t */\\n\\tpublic void creerTag(final ITag tag, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param tag\\n\\t * @param mode\\n\\t * @param identification\\n\\t * @param callback\\n\\t * @throws RemoteException\\n\\t */\\n\\tpublic void envoyerTag(final ITag tag, final ModeDeMiseAJour mode, final String identification, final CallBack<String> callback);\\n\\t\\n\\t/**\\n\\t * @param tag\\n\\t * @param identification\\n\\t * @param callback\\n\\t * @throws RemoteException\\n\\t */\\n\\tpublic void supprimerTag(final ITag tag, final String identification, final CallBack<String> callback);\\n\\t\\n\\t\\n\\t// ################################ METHODE DE MODIFICATION ################################\\n\\t\\n\\t\\n\\tpublic void ajouterTacheAProjet(final ITache tache, final IProjet projet, final String identification, CallBack<String> callback);\\n\\tpublic void retirerTacheDuProjet(final ITache tache, final IProjet projet, final String identification, CallBack<String> callback);\\n\\n\\tpublic void ajouterParticipantAuProjet(final IProjet projet, final IParticipant nom, final String identification, final CallBack<String> callback);\\n\\tpublic void supprimerParticipantDuProjet(final IProjet projet, final IParticipant nom, final String identification, final CallBack<String> callback);\\n\\n\\tpublic void ajouterParticipantDuProjetATache(final IProjet projet, final IParticipant nom, final ITache tache, final String identification, final CallBack<String> callback);\\n\\tpublic void retirerParticipantDeLaTache(final IParticipant nom, final ITache tache, final String identification, final CallBack<String> callback);\\n\\t\\n\\t\\n\\t// ################################ METHODE DE RECUPERATION ################################\\n\\t\\n\\t\\n\\tpublic void downloadInbox(final Date date, final String identification, final CallBack<String> callback);\\n\\tpublic void downloadInbox(final String identification, final CallBack<String> callback);\\n\\n\\n\\tpublic void downloadPoubelle(final Date date, final String identification, final CallBack<String> callback);\\n\\tpublic void downloadPoubelle(final String identification, final CallBack<String> callback);\\n\\n\\n\\tpublic void downloadArchive(final Date date, final String identification, final CallBack<String> callback);\\n\\tpublic void downloadArchive(final String identification, final CallBack<String> callback);\\n\\n\\n\\tpublic void downloadProchainesTaches(final Date date, final String identification, final CallBack<String> callback);\\n\\tpublic void downloadProchainesTaches(final String identification, final CallBack<String> callback);\\n\\n\\n\\tpublic void downloadProchainesTaches(final IObjetServeur contexte, final Date date, final String identification, final CallBack<String> callback);\\n\\tpublic void downloadProchainesTaches(final IObjetServeur contexte, final String identification, final CallBack<String> callback);\\n\\n\\n\\tpublic void downloadCalendrier(final Date date, final String identification, final CallBack<String> callback);\\n\\tpublic void downloadCalendrier(final String identification, final CallBack<String> callback);\\n\\n\\n\\tpublic void downloadTacheParTag(final Date date, final ITag tag, final String identification, final CallBack<String> callback);\\n\\tpublic void downloadTacheParTag(final ITag tag, final String identification, final CallBack<String> callback);\\n\\t\\n\\t\\n\\t// ################################ METHODE DE GESTION DE COMPTE ################################\\n\\t\\n\\t\\n\\tpublic void creerCompte(final String username, final String password, final String pseudo, final String identification, final CallBack<String> callback);\\n\\tpublic void supprimerCompte(final String username, final String password, final String identification, final CallBack<String> callback);\\n\\n\\tpublic void modifierPseudo(final String pseudo, final String identification, final CallBack<String> callback);\\n\\tpublic void modifierUsername(final String username, final String identification, final CallBack<String> callback);\\n\\tpublic void modifierMotDePasse(final String oldpPassword, final String newPassword, final String identification, final CallBack<String> callback);\\n\\n\\tpublic void login(final String username, final String password, final String identification, final CallBack<String> callback);\\n\\tpublic void disconnect(final String identification, final CallBack<String> callback);\\n\\t\\n\\tpublic void downloadListeParticipant(final String identification, final CallBack<List<AbstractParticipant>> callback);\\n\\t\\n\\tpublic void downloadLog(final Date date, final String identification, final CallBack<List<String>> callback);\\n\\tpublic void downloadLog(final String identification, final CallBack<List<String>> callback);\\n\\t\\n\\t\\n\\t// ################################ METHODE ADMINISTRATEUR ################################\\n\\t\\n\\t\\n\\tpublic void downloadLogAdmin(final String identification, final CallBack<List<String>> callback);\\n\\tpublic void downloadInbox(final String username, final String identification, final CallBack<List<String>> callback);\\n\\tpublic void downloadTaches(final String username, final String identification, final CallBack<List<String>> callback);\\n\\tpublic void downloadProjets(final String username, final String identification, final CallBack<List<String>> callback);\\n\\tpublic void downloadLog(final String username, final String identification, final CallBack<List<String>> callback);\\n}\",\n \"public interface ToNetworkProcessor {\\n\\n /**\\n * Send message.\\n *\\n * @param message the message\\n */\\n void sendMessage(String message);\\n}\",\n \"public interface CommandSender \\n{\\n /**\\n * Handle a respond from the robot.\\n * @param result The result.\\n * @param originalCommand The command which was sent to the robot.\\n */\\n public void handleResponse(byte[] result, Command originalCommand);\\n \\n /**\\n * Handle an error that occured when communicating to the robot.\\n * @param code The error code that was sent by the robot.\\n */\\n public void handleError(int code);\\n \\n /**\\n * Needed when sending a command repetitively to the robot.\\n * @return The command string that should be used.\\n */\\n public Command getCurrentCommand();\\n \\n}\",\n \"Message sendAndWait();\",\n \"public interface MessageSender {\\n boolean handle(Context context, MessageResponse response);\\n}\",\n \"public void Configure()\\n\\t\\t{\\n\\t\\t/*--- Instantiate the message buffer ----*/\\n\\t\\tmessagesin = abstract_robot.getReceiveChannel();//COMMUNICATION\\n\\t\\t}\",\n \"public Promo(){\\n}\",\n \"public void send() {\\n\\t}\",\n \"public interface Waiter {\\n void greetTo(String clientName);\\n void serveTo(String clientName);\\n}\",\n \"public interface AsynchChannelsGateway {\\n\\n public Message<String> send(Message<String> message);\\n\\n}\",\n \"public interface MessageProcesser {\\n\\n public void sendMultipleMessage();\\n\\n public void sendSingleMessage(int tag);\\n\\n public void parseMessage(String readMessage);\\n}\",\n \"public interface MessageSender {\\n\\tpublic void enqueueMessage(Message m);\\n}\",\n \"void start(Channel channel, Object msg);\",\n \"public MessageProcessor(JoeBot bot, MessageContentsSpec msgContents)\\n {\\n joeBot = bot;\\n messageContents = msgContents;\\n }\",\n \"public Communicator() {\\n\\t\\tcommlock = new Lock ();\\n\\t\\tspeaker = new Condition(commlock);\\n\\t\\tlistener = new Condition(commlock);\\n\\n }\",\n \"public static void main(String[] args) throws IOException, InterruptedException {\\n\\t\\tArrayList<String> msgList = new ArrayList<String>();\\n\\t\\tboolean msgSent = false;\\n\\t\\tString msg = \\\"B#setrobot:4,5,4/\\\\n\\\";\\n\\t\\tint msgCount = 0;\\n\\t\\tString tmp;\\n\\t\\t\\n\\t\\t// Establish Connection\\t\\n\\t\\tComms.openSocket();\\n\\t\\t\\n\\t\\t// Receive Start Message\\n\\t\\t/*do {\\n\\t\\t\\ttmp = Comms.receiveMsg();\\n\\t\\t\\tSystem.out.println(tmp);\\n\\t\\t} while (tmp == null);*/\\n\\t\\t//msgList.add(tmp); \\n\\t\\tmsgCount++;\\n\\t\\t\\n\\t\\tif (msgCount == 1) System.out.println(\\\"Initialising Start State\\\");\\n\\t\\t\\n\\t\\t// 5 sec wait (as if to simulate start)\\n\\t\\tTimeUnit.MILLISECONDS.sleep(5000);\\n\\t\\t\\n\\t\\twhile (true) {\\n\\t\\t\\tdo {\\n\\t\\t\\t\\tif(!msgSent){\\n\\t\\t\\t\\t\\tComms.sendMsg(msg);\\n\\t\\t\\t\\t\\tmsgSent = true;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\ttmp = Comms.receiveMsg();\\n\\t\\t\\t\\tSystem.out.println(tmp);\\n\\t\\t\\t} while (tmp == null);\\n\\t\\t\\tmsgList.add(tmp); msgCount++;\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t}\",\n \"public interface IceAdapter {\\n CompletableFuture<Integer> start(int gameId);\\n\\n void stop();\\n\\n void setIceServers(Collection<CoturnServer> coturnServers);\\n}\",\n \"@Override\\n\\tpublic void msgReadyToOrder(Customer customerAgent) {\\n\\t\\t\\n\\t}\",\n \"public interface RuntimeServices {\\n\\n /**\\n * Creates a new agent with <i>agName</i> from source\\n * <i>agSource</i>, using <i>agClass</i> as agent class (default\\n * value is \\\"jason.asSemantics.Agent\\\"), <i>archClasses</i> as agent\\n * architecture classes,\\n * <i>bbPars</i> as the belief base\\n * class (default value is \\\"DefaultBeliefBase\\\"), <i>stts</i> as\\n * Settings (default value is new Settings()), and\\n * <i>father</i> is the agent creating this agent (null is none).\\n *\\n * if no archClasses is informed (null value),\\n * if fathers is informed\\n * use father's ag archs\\n * else\\n * use default ag archs (see registerDefaultAgArch)\\n *\\n * <p> Example: createAgent(\\\"bob\\\", \\\"bob.asl\\\", \\\"mypkg.MyAgent\\\", null, null, null);\\n *\\n * Returns the name of the agent\\n */\\n public String createAgent(String agName, String agSource, String agClass, Collection<String> archClasses, ClassParameters bbPars, Settings stts, Agent father) throws Exception;\\n\\n public String getNewAgentName(String baseName);\\n\\n /** register a class to be included as new agents archs */\\n default public void registerDefaultAgArch(String agArch) {}\\n\\n default public Collection<String> getDefaultAgArchs() { return new ArrayList<>(); }\\n\\n /** starts an agent (e.g. create thread for it) */\\n public void startAgent(String agName);\\n\\n /**\\n * Clones an agent\\n *\\n * @param source: the agent used as source for beliefs, plans, ...\\n * @param archClassName: agent architectures that will be used\\n * @param agName: the name of the clone\\n * @return the agent arch created\\n * @throws JasonException\\n */\\n public AgArch clone(Agent source, Collection<String> archClasses, String agName) throws JasonException;\\n\\n /**\\n * Kills the agent named <i>agName</i> as a requested by <i>byAg</i>.\\n * Agent.stopAg() method is called before the agent is removed.\\n */\\n public boolean killAgent(String agName, String byAg, int deadline);\\n\\n /** Returns a set of all agents' name */\\n public Collection<String> getAgentsNames();\\n\\n /** Gets the number of agents in the MAS. */\\n public int getAgentsQty();\\n\\n /** Stops all MAS (the agents, the environment, the controller, ...) */\\n public void stopMAS(int deadline) throws Exception;\\n default public void stopMAS() throws Exception { stopMAS(0); }\\n\\n default public void dfRegister(String agName, String service, String type) {}\\n default public void dfDeRegister(String agName, String service, String type) {}\\n default public Collection<String> dfSearch(String service, String type) { return new ArrayList<>(); }\\n default public void dfSubscribe(String agName, String service, String type) {}\\n}\",\n \"void send();\",\n \"@Test\\n public void testSend() throws Exception {\\n System.out.println(\\\"send\\\");\\n Sendable s = sendAMessage();\\n }\",\n \"public interface SqsService {\\n\\n Promise<DeleteMessageResult> deleteMessage(DeleteMessageRequest request);\\n\\n Promise<SendMessageResult> sendMessage(SendMessageRequest request);\\n\\n Promise<ReceiveMessageResult> receiveMessage(ReceiveMessageRequest request);\\n\\n Promise<GetQueueUrlResult> getQueueUrl(String queueName);\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list 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fragment"},"document":{"kind":"string","value":"@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment_list_friend, container, false);\n setHasOptionsMenu(true);\n\n lvSearch = (ListView) view.findViewById(R.id.lvSearch);\n lvFriend = (ListView) view.findViewById(R.id.lvFriend);\n lvNotifi = (ListView) view.findViewById(R.id.lvNotifi);\n lnSearch = (LinearLayout) view.findViewById(R.id.lnSearch);\n frameLayout = (FrameLayout) view.findViewById(R.id.frameLayout);\n etSearch = (EditText) view.findViewById(R.id.etSearch);\n btnSearch = (Button) view.findViewById(R.id.btnSearch);\n tvNoresult = (TextView) view.findViewById(R.id.tvNoresult);\n\n drawerNotifi = (DrawerLayout) view.findViewById(R.id.drawerNotifi);\n toggle = new ActionBarDrawerToggle(getActivity(), drawerNotifi, R.string.navigation_drawer_open, R.string.navigation_drawer_close);\n drawerNotifi.setDrawerListener(toggle);\n toggle.syncState();\n\n notificationItemArrayList = new ArrayList<>();\n friendArrayList = new ArrayList<>();\n searchListFriend = new ArrayList<>();\n\n adapterFriendNotification = new AdapterFriendNotification(getActivity(), R.layout.layout_item_notification, notificationItemArrayList);\n lvNotifi.setAdapter(adapterFriendNotification);\n\n adapterListFriend = new AdapterListFriend(getActivity(),R.layout.layout_item_friend,friendArrayList);\n lvFriend.setAdapter(adapterListFriend);\n\n adapterListFriendSearch = new AdapterListFriendSearch(getActivity(), R.layout.layout_item_search, searchListFriend);\n lvSearch.setAdapter(adapterListFriendSearch);\n\n user = FirebaseAuth.getInstance().getCurrentUser();\n final FirebaseDatabase database = FirebaseDatabase.getInstance();\n refInfo = database.getReference(\"listuser\").child(user.getUid()).child(NOTIFICATION);\n drInfoFriend = database.getReference(\"listuser\");\n drListFriends = database.getReference(\"listuser\").child(user.getUid()).child(FRIENDS);\n\n arrMyFriends = new ArrayList<>();\n arrAllUser = new ArrayList<>();\n getAllUser();\n actionNotification();\n\n actionListFriend();\n\n btnSearch.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View view) {\n searchListFriend.clear();\n adapterListFriendSearch.notifyDataSetChanged();\n tvNoresult.setVisibility(View.GONE);\n lvSearch.setVisibility(View.VISIBLE);\n actionSearchFriend();\n if(searchListFriend.size() == 0){\n tvNoresult.setVisibility(View.VISIBLE);\n lvSearch.setVisibility(View.GONE);\n }\n }\n });\n\n lvFriend.setOnItemClickListener(new AdapterView.OnItemClickListener() {\n @Override\n public void onItemClick(AdapterView<?> adapterView, View view, int i, long l) {\n Intent intent = new Intent(getContext(), ChatActivity.class);\n Bundle bundle = new Bundle();\n bundle.putString(\"email\",friendArrayList.get(i).getEmail());\n bundle.putString(\"uid\",friendArrayList.get(i).getUid());\n bundle.putString(\"img\",friendArrayList.get(i).getImg());\n bundle.putString(\"nickName\",friendArrayList.get(i).getNickName());\n bundle.putString(\"myImg\",myImg);\n intent.putExtra(\"bundle\",bundle);\n intent.addFlags(Intent.FLAG_ACTIVITY_REORDER_TO_FRONT);\n startActivity(intent);\n //finish();\n }\n });\n\n return view;\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_main_allinfo, container, false);\n }","@Override\r\n\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container,\r\n\t\t\tBundle savedInstanceState) {\n\t\treturn inflater.inflate(R.layout.wallpager_layout, null);\r\n\t}","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_invit_friends, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View inflate = inflater.inflate(R.layout.fragment_zhuye, container, false);\n initView(inflate);\n initData();\n return inflate;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup parent, Bundle savedInstanceState) {\n // Defines the xml file for the fragment\n return inflater.inflate(R.layout.fragment_posts, parent, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n return inflater.inflate(R.layout.ilustration_fragment, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View v = inflater.inflate(R.layout.fragment_sow_drug_cost_per_week, container, false);\n\n db = new DataBaseAdapter(getActivity());\n hc = new HelperClass();\n pop = new FeedSowsFragment();\n\n infltr = (LayoutInflater) getActivity().getSystemService(Context.LAYOUT_INFLATER_SERVICE);\n parent = (LinearLayout) v.findViewById(R.id.layout_for_add);\n tvTotalCost = (TextView) v.findViewById(R.id.totalCost);\n\n getData();\n setData();\n\n return v;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_stream_list, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View v = inflater.inflate(R.layout.fragment_event, container, false);\n\n\n\n\n\n\n\n\n return v;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_feed, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.screen_select_list_student, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View rootView = inflater.inflate(R.layout.fragment_overall, container, false);\n mNamesLayout = (LinearLayout) rootView.findViewById(R.id.fragment_overall_names_layout);\n mOverallView = (OverallView) rootView.findViewById(R.id.fragment_overall_view);\n return rootView;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState)\n {\n\n\n view = inflater.inflate(R.layout.fragment_earning_fragmant, container, false);\n ini(view);\n return view;\n }","@Nullable\n @Override\n public View onCreateView(LayoutInflater inflater, @Nullable ViewGroup container, @Nullable Bundle savedInstanceState) {\n super.onCreateView(inflater, container, savedInstanceState);\n final View rootview = inflater.inflate(R.layout.activity_email_frag, container, false);\n ConfigInnerElements(rootview);\n return rootview;\n }","@Override\r\n\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container,\r\n\t\t\tBundle savedInstanceState) {\n\t\trootView = inflater.inflate(R.layout.fragment_attack_armor, container, false);\r\n\r\n\t\tfindInterfaceElements();\r\n\t\taddRangeSelector();\r\n\t\tupdateHeadings();\r\n\t\tsetListeners();\r\n\r\n\t\tsetFromData();\r\n\r\n\t\treturn rootView;\r\n\t}","@SuppressLint(\"InflateParams\")\r\n\t@Override\r\n\tpublic View initLayout(LayoutInflater inflater) {\n\t\tView view = inflater.inflate(R.layout.frag_customer_all, null);\r\n\t\treturn view;\r\n\t}","@Override\r\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\r\n Bundle savedInstanceState) {\n view = inflater.inflate(R.layout.fragment_fore_cast, container, false);\r\n initView();\r\n mainLayout.setVisibility(View.GONE);\r\n apiInterface = RestClinet.getClient().create(ApiInterface.class);\r\n loadData();\r\n return view;\r\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_friend, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n rootView = inflater.inflate(R.layout.fragment_detail, container, false);\n image = rootView.findViewById(R.id.fr_image);\n name = rootView.findViewById(R.id.fr_name);\n phoneNumber = rootView.findViewById(R.id.fr_phone_number);\n email = rootView.findViewById(R.id.fr_email);\n street = rootView.findViewById(R.id.fr_street);\n city = rootView.findViewById(R.id.fr_city);\n state = rootView.findViewById(R.id.fr_state);\n zipcode = rootView.findViewById(R.id.fr_zipcode);\n dBrith = rootView.findViewById(R.id.date_brith);\n return rootView;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_pm25, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_kkbox_playlist, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View rootView = inflater.inflate(R.layout.fragment_feed_pager, container, false);\n\n// loadData();\n\n findViews(rootView);\n\n setViews();\n\n return rootView;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n layout = (FrameLayout) inflater.inflate(R.layout.fragment_actualites, container, false);\n\n relLayout = (RelativeLayout) layout.findViewById(R.id.relLayoutActus);\n\n initListView();\n getXMLData();\n\n return layout;\n }","@Nullable\n @Override\n public View onCreateView(LayoutInflater inflater, @Nullable ViewGroup container, @Nullable Bundle savedInstanceState) {\n rootView = inflater.inflate(R.layout.frag_post_prayer_video, container, false);\n setCustomDesign();\n setCustomClickListeners();\n return rootView;\n }","@Override\n\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container,\n\t\t\tBundle savedInstanceState) {\n\t\treturn inflater.inflate(R.layout.lf_em4305_fragment, container, false);\n\t}","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_recordings, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view=inflater.inflate(R.layout.fragment_category, container, false);\n initView(view);\n bindRefreshListener();\n loadParams();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_cm_box_details, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n view=inflater.inflate(R.layout.fragment_layout12, container, false);\n\n iniv();\n\n init();\n\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n view = inflater.inflate(R.layout.fragment_details, container, false);\n //return inflater.inflate(R.layout.fragment_details, container, false);\n getIntentValues();\n initViews();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_mem_body_blood, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_qiugouxiaoxi, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View inflate = inflater.inflate(R.layout.fragment_coll_blank, container, false);\n initView(inflate);\n initData();\n return inflate;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment_attendance_divide, container, false);\n\n initView(view);\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup parent, Bundle savedInstanceState) {\n // Defines the xml file for the fragment\n return inflater.inflate(R.layout.show_program_fragment, parent, false);\n }","@Override\n public View onCreateView(@NonNull LayoutInflater inflater, @Nullable ViewGroup container,\n @Nullable Bundle savedInstanceState) {\n return inflater.inflate(R.layout.visualization_fragment, container, false);\n\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n rootView = inflater.inflate(R.layout.fragment_category_details_page, container, false);\n initializeAll();\n\n return rootView;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n final View v = inflater.inflate(R.layout.fragemnt_reserve, container, false);\n\n\n\n\n return v;\n }","protected int getLayoutResId() {\n return R.layout.activity_fragment;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_all_quizs, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n role = getArguments().getInt(\"role\");\n rootview = inflater.inflate(R.layout.fragment_application, container, false);\n layout = rootview.findViewById(R.id.patentDetails);\n progressBar = rootview.findViewById(R.id.progressBar);\n try {\n run();\n } catch (IOException e) {\n e.printStackTrace();\n }\n return rootview;\n }","@Override\n\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container,\n\t\t\tBundle savedInstanceState) {\n\t\tview = inflater.inflate(R.layout.fragment_zhu, null);\n\t\tinitView();\n\t\tinitData();\n\t\treturn view;\n\t}","@Override\n\t\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState)\n\t\t{\n\t\t\tView rootView = inflater.inflate(R.layout.maimfragment, container, false);\n\t\t\treturn rootView;\n\t\t}","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n // Inflate the layout for this fragment\n return inflater.inflate(R.layout.fragment__record__week, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_porishongkhan, container, false);\n\n\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment_dashboard, container, false);\n resultsRv = view.findViewById(R.id.db_results_rv);\n resultText = view.findViewById(R.id.db_search_empty);\n progressBar = view.findViewById(R.id.db_progressbar);\n lastVisitText = view.findViewById(R.id.db_last_visit);\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view = inflater.inflate(getLayoutId(), container, false);\n init(view);\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n view = inflater.inflate(R.layout.fragment_feedback, container, false);\n self = getActivity();\n initUI(view);\n initControlUI();\n initData();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View v = inflater.inflate(R.layout.fragment_service_summery, container, false);\n tvVoiceMS = v.findViewById(R.id.tvVoiceValue);\n tvDataMS = v.findViewById(R.id.tvdataValue);\n tvSMSMS = v.findViewById(R.id.tvSMSValue);\n tvVoiceFL = v.findViewById(R.id.tvVoiceFLValue);\n tvDataBS = v.findViewById(R.id.tvDataBRValue);\n tvTotal = v.findViewById(R.id.tvTotalAccountvalue);\n return v;\n }","@Override\r\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\r\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_clan_rank_details, container, false);\r\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_star_wars_list, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View inflate = inflater.inflate(R.layout.fragment_lei, container, false);\n\n initView(inflate);\n initData();\n return inflate;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_quotation, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_wode_ragment, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup parent, Bundle savedInstanceState) {\n\n\n\n\n\n return inflater.inflate(R.layout.fragment_appoint_list, parent, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n if (rootView == null) {\n rootView = inflater.inflate(R.layout.fragment_ip_info, container, false);\n initView();\n }\n return rootView;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_offer, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_rooms, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n\n View view = inflater.inflate(R.layout.fragment_img_eva, container, false);\n\n getSendData();\n\n initView(view);\n\n initData();\n\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, @Nullable ViewGroup container, @Nullable Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment_project_collection, container, false);\n ButterKnife.bind(this, view);\n fragment = this;\n initView();\n getCollectionType();\n // getCategoryList();\n initBroadcastReceiver();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n view = inflater.inflate(R.layout.fragment_yzm, container, false);\n initView(view);\n return view;\n }","@Override\r\n\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n\t\tmainLayout = inflater.inflate(R.layout.fragment_play, container, false);\r\n\t\treturn mainLayout;\r\n\t}","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n view = inflater.inflate(R.layout.fragment_invite_request, container, false);\n initialiseVariables();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n getLocationPermission();\n return inflater.inflate(R.layout.centrum_fragment, container, false);\n\n\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View rootView = inflater.inflate(R.layout.fragment_habit_type_details, container, false);\n\n habitTitle = rootView.findViewById(R.id.textViewTitle);\n habitReason = rootView.findViewById(R.id.textViewReason);\n habitStartDate = rootView.findViewById(R.id.textViewStartDate);\n habitWeeklyPlan = rootView.findViewById(R.id.textViewWeeklyPlan);\n\n return rootView;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View v = inflater.inflate(R.layout.fragment_information_friends4, container, false);\n\n if (getArguments() != null) {\n FriendsID = getArguments().getString(\"keyFriends\");\n }\n\n return v;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_post_details, container, false);\n\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_hotel, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n view=inflater.inflate(R.layout.fragment_bus_inquiry, container, false);\n initView();\n initData();\n initDialog();\n getDataFromNet();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_weather, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_srgl, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n view = inflater.inflate(R.layout.fragment_ground_detail_frgment, container, false);\n init();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_book_appointment, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n view = inflater.inflate(R.layout.fragment_wheretogo, container, false);\n ids();\n setup();\n click();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n binding = DataBindingUtil\n .inflate(inflater, R.layout.fragment_learning_leaders, container, false);\n init();\n\n return rootView;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment_end_game_tab, container, false);\n\n setupWidgets();\n setupTextFields(view);\n setupSpinners(view);\n\n // Inflate the layout for this fragment\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.memoir_fragment, container, false);\n\n getUserIdFromSharedPref();\n configureUI(view);\n configureSortSpinner();\n configureFilterSpinner();\n\n networkConnection = new NetworkConnection();\n new GetAllMemoirTask().execute();\n\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_jadwal, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n view = inflater.inflate(R.layout.fragment_delivery_detail, container, false);\n initialise();\n\n\n\n return view;\n }","@Nullable\n @Override\n public View onCreateView(LayoutInflater inflater, @Nullable ViewGroup container, @Nullable Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_4, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_all_product, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_group_details, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment06_7, container, false);\n initView(view);\n setLegend();\n setXAxis();\n setYAxis();\n setData();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_downloadables, container, false);\n }","@Override\n public View onCreateView(@NonNull LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.movie_list_fragment, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_like, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_hall, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment_unit_main, container, false);\n TextView mTxvBusinessAassistant = (TextView) view.findViewById(R.id.txv_business_assistant);\n TextView mTxvCardINformation = (TextView) view.findViewById(R.id.txv_card_information);\n RelativeLayout mRelOfficialWebsite = (RelativeLayout) view.findViewById(R.id.rel_official_website);\n RelativeLayout mRelPictureAblum = (RelativeLayout) view.findViewById(R.id.rel_picture_album);\n TextView mTxvQrCodeCard = (TextView) view.findViewById(R.id.txv_qr_code_card);\n TextView mTxvShareCard = (TextView) view.findViewById(R.id.txv_share_card);\n mTxvBusinessAassistant.setOnClickListener(this.mOnClickListener);\n mTxvCardINformation.setOnClickListener(this.mOnClickListener);\n mRelOfficialWebsite.setOnClickListener(this.mOnClickListener);\n mRelPictureAblum.setOnClickListener(this.mOnClickListener);\n mTxvQrCodeCard.setOnClickListener(this.mOnClickListener);\n mTxvShareCard.setOnClickListener(this.mOnClickListener);\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_moviespage, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_s, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment_overview, container, false);\n\n initOverviewComponents(view);\n registerListeners();\n initTagListener();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment_bahan_ajar, container, false);\n initView(view);\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n root = (ViewGroup) inflater.inflate(R.layout.money_main, container, false);\n context = getActivity();\n initHeaderView(root);\n initView(root);\n\n getDate();\n initEvetn();\n return root;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup parent, Bundle savedInstanceState) {\n // Defines the xml file for the fragment\n return inflater.inflate(R.layout.fragment_historical_event, parent, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_event_details, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment_video, container, false);\n unbinder = ButterKnife.bind(this, view);\n initView();\n initData();\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n\n v= inflater.inflate(R.layout.fragment_post_contacts, container, false);\n this.mapping(v);\n return v;\n }","@Nullable\n @Override\n public View onCreateView(LayoutInflater inflater, @Nullable ViewGroup container, @Nullable Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_measures, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n View view = inflater.inflate(R.layout.fragment_feed, container, false);\n findViews(view);\n return view;\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_surah_list, container, false);\n }","@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_data_binded, container, false);\n }"],"string":"[\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_main_allinfo, container, false);\\n }\",\n \"@Override\\r\\n\\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container,\\r\\n\\t\\t\\tBundle savedInstanceState) {\\n\\t\\treturn inflater.inflate(R.layout.wallpager_layout, null);\\r\\n\\t}\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_invit_friends, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View inflate = inflater.inflate(R.layout.fragment_zhuye, container, false);\\n initView(inflate);\\n initData();\\n return inflate;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup parent, Bundle savedInstanceState) {\\n // Defines the xml file for the fragment\\n return inflater.inflate(R.layout.fragment_posts, parent, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.ilustration_fragment, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View v = inflater.inflate(R.layout.fragment_sow_drug_cost_per_week, container, false);\\n\\n db = new DataBaseAdapter(getActivity());\\n hc = new HelperClass();\\n pop = new FeedSowsFragment();\\n\\n infltr = (LayoutInflater) getActivity().getSystemService(Context.LAYOUT_INFLATER_SERVICE);\\n parent = (LinearLayout) v.findViewById(R.id.layout_for_add);\\n tvTotalCost = (TextView) v.findViewById(R.id.totalCost);\\n\\n getData();\\n setData();\\n\\n return v;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_stream_list, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View v = inflater.inflate(R.layout.fragment_event, container, false);\\n\\n\\n\\n\\n\\n\\n\\n\\n return v;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_feed, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.screen_select_list_student, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View rootView = inflater.inflate(R.layout.fragment_overall, container, false);\\n mNamesLayout = (LinearLayout) rootView.findViewById(R.id.fragment_overall_names_layout);\\n mOverallView = (OverallView) rootView.findViewById(R.id.fragment_overall_view);\\n return rootView;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState)\\n {\\n\\n\\n view = inflater.inflate(R.layout.fragment_earning_fragmant, container, false);\\n ini(view);\\n return view;\\n }\",\n \"@Nullable\\n @Override\\n public View onCreateView(LayoutInflater inflater, @Nullable ViewGroup container, @Nullable Bundle savedInstanceState) {\\n super.onCreateView(inflater, container, savedInstanceState);\\n final View rootview = inflater.inflate(R.layout.activity_email_frag, container, false);\\n ConfigInnerElements(rootview);\\n return rootview;\\n }\",\n \"@Override\\r\\n\\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container,\\r\\n\\t\\t\\tBundle savedInstanceState) {\\n\\t\\trootView = inflater.inflate(R.layout.fragment_attack_armor, container, false);\\r\\n\\r\\n\\t\\tfindInterfaceElements();\\r\\n\\t\\taddRangeSelector();\\r\\n\\t\\tupdateHeadings();\\r\\n\\t\\tsetListeners();\\r\\n\\r\\n\\t\\tsetFromData();\\r\\n\\r\\n\\t\\treturn rootView;\\r\\n\\t}\",\n \"@SuppressLint(\\\"InflateParams\\\")\\r\\n\\t@Override\\r\\n\\tpublic View initLayout(LayoutInflater inflater) {\\n\\t\\tView view = inflater.inflate(R.layout.frag_customer_all, null);\\r\\n\\t\\treturn view;\\r\\n\\t}\",\n \"@Override\\r\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\r\\n Bundle savedInstanceState) {\\n view = inflater.inflate(R.layout.fragment_fore_cast, container, false);\\r\\n initView();\\r\\n mainLayout.setVisibility(View.GONE);\\r\\n apiInterface = RestClinet.getClient().create(ApiInterface.class);\\r\\n loadData();\\r\\n return view;\\r\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_friend, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n rootView = inflater.inflate(R.layout.fragment_detail, container, false);\\n image = rootView.findViewById(R.id.fr_image);\\n name = rootView.findViewById(R.id.fr_name);\\n phoneNumber = rootView.findViewById(R.id.fr_phone_number);\\n email = rootView.findViewById(R.id.fr_email);\\n street = rootView.findViewById(R.id.fr_street);\\n city = rootView.findViewById(R.id.fr_city);\\n state = rootView.findViewById(R.id.fr_state);\\n zipcode = rootView.findViewById(R.id.fr_zipcode);\\n dBrith = rootView.findViewById(R.id.date_brith);\\n return rootView;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_pm25, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_kkbox_playlist, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View rootView = inflater.inflate(R.layout.fragment_feed_pager, container, false);\\n\\n// loadData();\\n\\n findViews(rootView);\\n\\n setViews();\\n\\n return rootView;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\\n layout = (FrameLayout) inflater.inflate(R.layout.fragment_actualites, container, false);\\n\\n relLayout = (RelativeLayout) layout.findViewById(R.id.relLayoutActus);\\n\\n initListView();\\n getXMLData();\\n\\n return layout;\\n }\",\n \"@Nullable\\n @Override\\n public View onCreateView(LayoutInflater inflater, @Nullable ViewGroup container, @Nullable Bundle savedInstanceState) {\\n rootView = inflater.inflate(R.layout.frag_post_prayer_video, container, false);\\n setCustomDesign();\\n setCustomClickListeners();\\n return rootView;\\n }\",\n \"@Override\\n\\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container,\\n\\t\\t\\tBundle savedInstanceState) {\\n\\t\\treturn inflater.inflate(R.layout.lf_em4305_fragment, container, false);\\n\\t}\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_recordings, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View view=inflater.inflate(R.layout.fragment_category, container, false);\\n initView(view);\\n bindRefreshListener();\\n loadParams();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_cm_box_details, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n view=inflater.inflate(R.layout.fragment_layout12, container, false);\\n\\n iniv();\\n\\n init();\\n\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n view = inflater.inflate(R.layout.fragment_details, container, false);\\n //return inflater.inflate(R.layout.fragment_details, container, false);\\n getIntentValues();\\n initViews();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_mem_body_blood, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_qiugouxiaoxi, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View inflate = inflater.inflate(R.layout.fragment_coll_blank, container, false);\\n initView(inflate);\\n initData();\\n return inflate;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.fragment_attendance_divide, container, false);\\n\\n initView(view);\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup parent, Bundle savedInstanceState) {\\n // Defines the xml file for the fragment\\n return inflater.inflate(R.layout.show_program_fragment, parent, false);\\n }\",\n \"@Override\\n public View onCreateView(@NonNull LayoutInflater inflater, @Nullable ViewGroup container,\\n @Nullable Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.visualization_fragment, container, false);\\n\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n rootView = inflater.inflate(R.layout.fragment_category_details_page, container, false);\\n initializeAll();\\n\\n return rootView;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n final View v = inflater.inflate(R.layout.fragemnt_reserve, container, false);\\n\\n\\n\\n\\n return v;\\n }\",\n \"protected int getLayoutResId() {\\n return R.layout.activity_fragment;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_all_quizs, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n role = getArguments().getInt(\\\"role\\\");\\n rootview = inflater.inflate(R.layout.fragment_application, container, false);\\n layout = rootview.findViewById(R.id.patentDetails);\\n progressBar = rootview.findViewById(R.id.progressBar);\\n try {\\n run();\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n return rootview;\\n }\",\n \"@Override\\n\\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container,\\n\\t\\t\\tBundle savedInstanceState) {\\n\\t\\tview = inflater.inflate(R.layout.fragment_zhu, null);\\n\\t\\tinitView();\\n\\t\\tinitData();\\n\\t\\treturn view;\\n\\t}\",\n \"@Override\\n\\t\\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState)\\n\\t\\t{\\n\\t\\t\\tView rootView = inflater.inflate(R.layout.maimfragment, container, false);\\n\\t\\t\\treturn rootView;\\n\\t\\t}\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n // Inflate the layout for this fragment\\n return inflater.inflate(R.layout.fragment__record__week, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_porishongkhan, container, false);\\n\\n\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.fragment_dashboard, container, false);\\n resultsRv = view.findViewById(R.id.db_results_rv);\\n resultText = view.findViewById(R.id.db_search_empty);\\n progressBar = view.findViewById(R.id.db_progressbar);\\n lastVisitText = view.findViewById(R.id.db_last_visit);\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View view = inflater.inflate(getLayoutId(), container, false);\\n init(view);\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n view = inflater.inflate(R.layout.fragment_feedback, container, false);\\n self = getActivity();\\n initUI(view);\\n initControlUI();\\n initData();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View v = inflater.inflate(R.layout.fragment_service_summery, container, false);\\n tvVoiceMS = v.findViewById(R.id.tvVoiceValue);\\n tvDataMS = v.findViewById(R.id.tvdataValue);\\n tvSMSMS = v.findViewById(R.id.tvSMSValue);\\n tvVoiceFL = v.findViewById(R.id.tvVoiceFLValue);\\n tvDataBS = v.findViewById(R.id.tvDataBRValue);\\n tvTotal = v.findViewById(R.id.tvTotalAccountvalue);\\n return v;\\n }\",\n \"@Override\\r\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\r\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_clan_rank_details, container, false);\\r\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_star_wars_list, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View inflate = inflater.inflate(R.layout.fragment_lei, container, false);\\n\\n initView(inflate);\\n initData();\\n return inflate;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_quotation, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_wode_ragment, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup parent, Bundle savedInstanceState) {\\n\\n\\n\\n\\n\\n return inflater.inflate(R.layout.fragment_appoint_list, parent, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\\n if (rootView == null) {\\n rootView = inflater.inflate(R.layout.fragment_ip_info, container, false);\\n initView();\\n }\\n return rootView;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_offer, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_rooms, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\\n\\n View view = inflater.inflate(R.layout.fragment_img_eva, container, false);\\n\\n getSendData();\\n\\n initView(view);\\n\\n initData();\\n\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, @Nullable ViewGroup container, @Nullable Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.fragment_project_collection, container, false);\\n ButterKnife.bind(this, view);\\n fragment = this;\\n initView();\\n getCollectionType();\\n // getCategoryList();\\n initBroadcastReceiver();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n view = inflater.inflate(R.layout.fragment_yzm, container, false);\\n initView(view);\\n return view;\\n }\",\n \"@Override\\r\\n\\tpublic View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\\n\\t\\tmainLayout = inflater.inflate(R.layout.fragment_play, container, false);\\r\\n\\t\\treturn mainLayout;\\r\\n\\t}\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n view = inflater.inflate(R.layout.fragment_invite_request, container, false);\\n initialiseVariables();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\\n getLocationPermission();\\n return inflater.inflate(R.layout.centrum_fragment, container, false);\\n\\n\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View rootView = inflater.inflate(R.layout.fragment_habit_type_details, container, false);\\n\\n habitTitle = rootView.findViewById(R.id.textViewTitle);\\n habitReason = rootView.findViewById(R.id.textViewReason);\\n habitStartDate = rootView.findViewById(R.id.textViewStartDate);\\n habitWeeklyPlan = rootView.findViewById(R.id.textViewWeeklyPlan);\\n\\n return rootView;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View v = inflater.inflate(R.layout.fragment_information_friends4, container, false);\\n\\n if (getArguments() != null) {\\n FriendsID = getArguments().getString(\\\"keyFriends\\\");\\n }\\n\\n return v;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_post_details, container, false);\\n\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_hotel, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n view=inflater.inflate(R.layout.fragment_bus_inquiry, container, false);\\n initView();\\n initData();\\n initDialog();\\n getDataFromNet();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_weather, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_srgl, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n view = inflater.inflate(R.layout.fragment_ground_detail_frgment, container, false);\\n init();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_book_appointment, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n view = inflater.inflate(R.layout.fragment_wheretogo, container, false);\\n ids();\\n setup();\\n click();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n binding = DataBindingUtil\\n .inflate(inflater, R.layout.fragment_learning_leaders, container, false);\\n init();\\n\\n return rootView;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.fragment_end_game_tab, container, false);\\n\\n setupWidgets();\\n setupTextFields(view);\\n setupSpinners(view);\\n\\n // Inflate the layout for this fragment\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.memoir_fragment, container, false);\\n\\n getUserIdFromSharedPref();\\n configureUI(view);\\n configureSortSpinner();\\n configureFilterSpinner();\\n\\n networkConnection = new NetworkConnection();\\n new GetAllMemoirTask().execute();\\n\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_jadwal, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n view = inflater.inflate(R.layout.fragment_delivery_detail, container, false);\\n initialise();\\n\\n\\n\\n return view;\\n }\",\n \"@Nullable\\n @Override\\n public View onCreateView(LayoutInflater inflater, @Nullable ViewGroup container, @Nullable Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_4, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_all_product, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_group_details, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.fragment06_7, container, false);\\n initView(view);\\n setLegend();\\n setXAxis();\\n setYAxis();\\n setData();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_downloadables, container, false);\\n }\",\n \"@Override\\n public View onCreateView(@NonNull LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.movie_list_fragment, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_like, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_hall, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.fragment_unit_main, container, false);\\n TextView mTxvBusinessAassistant = (TextView) view.findViewById(R.id.txv_business_assistant);\\n TextView mTxvCardINformation = (TextView) view.findViewById(R.id.txv_card_information);\\n RelativeLayout mRelOfficialWebsite = (RelativeLayout) view.findViewById(R.id.rel_official_website);\\n RelativeLayout mRelPictureAblum = (RelativeLayout) view.findViewById(R.id.rel_picture_album);\\n TextView mTxvQrCodeCard = (TextView) view.findViewById(R.id.txv_qr_code_card);\\n TextView mTxvShareCard = (TextView) view.findViewById(R.id.txv_share_card);\\n mTxvBusinessAassistant.setOnClickListener(this.mOnClickListener);\\n mTxvCardINformation.setOnClickListener(this.mOnClickListener);\\n mRelOfficialWebsite.setOnClickListener(this.mOnClickListener);\\n mRelPictureAblum.setOnClickListener(this.mOnClickListener);\\n mTxvQrCodeCard.setOnClickListener(this.mOnClickListener);\\n mTxvShareCard.setOnClickListener(this.mOnClickListener);\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_moviespage, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_s, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.fragment_overview, container, false);\\n\\n initOverviewComponents(view);\\n registerListeners();\\n initTagListener();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.fragment_bahan_ajar, container, false);\\n initView(view);\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\\n root = (ViewGroup) inflater.inflate(R.layout.money_main, container, false);\\n context = getActivity();\\n initHeaderView(root);\\n initView(root);\\n\\n getDate();\\n initEvetn();\\n return root;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup parent, Bundle savedInstanceState) {\\n // Defines the xml file for the fragment\\n return inflater.inflate(R.layout.fragment_historical_event, parent, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_event_details, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.fragment_video, container, false);\\n unbinder = ButterKnife.bind(this, view);\\n initView();\\n initData();\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n\\n v= inflater.inflate(R.layout.fragment_post_contacts, container, false);\\n this.mapping(v);\\n return v;\\n }\",\n \"@Nullable\\n @Override\\n public View onCreateView(LayoutInflater inflater, @Nullable ViewGroup container, @Nullable Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_measures, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n View view = inflater.inflate(R.layout.fragment_feed, container, false);\\n findViews(view);\\n return view;\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_surah_list, container, false);\\n }\",\n \"@Override\\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\\n Bundle savedInstanceState) {\\n return inflater.inflate(R.layout.fragment_data_binded, container, false);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6739604","0.67235583","0.6721706","0.6698254","0.6691869","0.6687986","0.66869223","0.6684548","0.66766286","0.6674615","0.66654444","0.66654384","0.6664403","0.66596216","0.6653321","0.6647136","0.66423255","0.66388357","0.6637491","0.6634193","0.6625158","0.66195583","0.66164845","0.6608733","0.6596594","0.65928894","0.6585293","0.65842897","0.65730995","0.6571248","0.6569152","0.65689117","0.656853","0.6566686","0.65652984","0.6553419","0.65525705","0.65432084","0.6542382","0.65411425","0.6538022","0.65366334","0.65355957","0.6535043","0.65329415","0.65311074","0.65310687","0.6528645","0.65277404","0.6525902","0.6524516","0.6524048","0.65232015","0.65224624","0.65185034","0.65130377","0.6512968","0.65122765","0.65116245","0.65106046","0.65103024","0.6509013","0.65088093","0.6508651","0.6508225","0.6504662","0.650149","0.65011525","0.6500686","0.64974767","0.64935696","0.6492234","0.6490034","0.6487609","0.6487216","0.64872116","0.6486594","0.64861935","0.6486018","0.6484269","0.648366","0.6481476","0.6481086","0.6480985","0.6480396","0.64797544","0.647696","0.64758915","0.6475649","0.6474114","0.6474004","0.6470706","0.6470275","0.64702207","0.6470039","0.6467449","0.646602","0.6462256","0.64617974","0.6461681","0.6461214"],"string":"[\n \"0.6739604\",\n \"0.67235583\",\n \"0.6721706\",\n \"0.6698254\",\n \"0.6691869\",\n \"0.6687986\",\n \"0.66869223\",\n \"0.6684548\",\n \"0.66766286\",\n \"0.6674615\",\n \"0.66654444\",\n \"0.66654384\",\n \"0.6664403\",\n \"0.66596216\",\n \"0.6653321\",\n \"0.6647136\",\n \"0.66423255\",\n \"0.66388357\",\n \"0.6637491\",\n \"0.6634193\",\n \"0.6625158\",\n \"0.66195583\",\n \"0.66164845\",\n \"0.6608733\",\n \"0.6596594\",\n \"0.65928894\",\n \"0.6585293\",\n \"0.65842897\",\n \"0.65730995\",\n \"0.6571248\",\n \"0.6569152\",\n \"0.65689117\",\n \"0.656853\",\n \"0.6566686\",\n \"0.65652984\",\n \"0.6553419\",\n \"0.65525705\",\n \"0.65432084\",\n \"0.6542382\",\n \"0.65411425\",\n \"0.6538022\",\n \"0.65366334\",\n \"0.65355957\",\n \"0.6535043\",\n \"0.65329415\",\n \"0.65311074\",\n \"0.65310687\",\n \"0.6528645\",\n \"0.65277404\",\n \"0.6525902\",\n \"0.6524516\",\n \"0.6524048\",\n \"0.65232015\",\n \"0.65224624\",\n \"0.65185034\",\n \"0.65130377\",\n \"0.6512968\",\n \"0.65122765\",\n \"0.65116245\",\n \"0.65106046\",\n \"0.65103024\",\n \"0.6509013\",\n \"0.65088093\",\n \"0.6508651\",\n \"0.6508225\",\n \"0.6504662\",\n \"0.650149\",\n \"0.65011525\",\n \"0.6500686\",\n \"0.64974767\",\n \"0.64935696\",\n \"0.6492234\",\n \"0.6490034\",\n \"0.6487609\",\n \"0.6487216\",\n \"0.64872116\",\n \"0.6486594\",\n \"0.64861935\",\n \"0.6486018\",\n \"0.6484269\",\n \"0.648366\",\n \"0.6481476\",\n \"0.6481086\",\n \"0.6480985\",\n \"0.6480396\",\n \"0.64797544\",\n \"0.647696\",\n \"0.64758915\",\n \"0.6475649\",\n \"0.6474114\",\n \"0.6474004\",\n \"0.6470706\",\n \"0.6470275\",\n \"0.64702207\",\n \"0.6470039\",\n \"0.6467449\",\n \"0.646602\",\n \"0.6462256\",\n \"0.64617974\",\n \"0.6461681\",\n \"0.6461214\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":32582,"cells":{"query":{"kind":"string","value":"super.channelRead(ctx, msg); ByteBuf buffer = (ByteBuf) msg; System.out.println(\"received msg: \"+ buffer.toString(CharsetUtil.UTF_8) + \" current thread: \" + Thread.currentThread().getName()); ctx.pipeline().write(buffer); System.out.println(\"received msg: \"+ msg.toString() + \" current thread: \" + Thread.currentThread().getName());"},"document":{"kind":"string","value":"@Override\n public void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\n// ctx.pipeline().write(buffer);\n\n// System.out.println(\"received msg: \"+ msg.toString()\n// + \" ---current thread: \" + Thread.currentThread().getName());\n\n logger.info(\"received msg: \" + msg.toString());\n User user = (User) msg;\n user.setUserName(\"server-robbie\");\n ctx.pipeline().write(user);\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Override\n protected void channelRead0(ChannelHandlerContext ctx, ByteBuf msg) {\n System.out.println(\"Client received: \" + ByteBufUtil.hexDump(msg.readBytes(msg.readableBytes())));\n }","@Override\n public void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\n\n log.info( ctx.channel().id().asLongText()+\"-> channelRead , msg={}\" , msg.getClass().getName());\n\n ctx.fireChannelRead( msg ) ;\n }","@Override\n\tpublic void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\n\t\tLog.i(\"channelRead\", ((String) msg));\n\t\tsuper.channelRead(ctx, msg);\n\t}","@Override\n\tpublic void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\n\t\tString receiveData = (String)msg;\n\t\tSystem.out.println(receiveData);\n\t}","@Override\n\tpublic void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\n\t\tctx.write(msg);\n\t}","@Override\r\n\tpublic void channelRead(ChannelHandlerContext ctx, Object msg)\r\n\t\t\tthrows Exception {\r\n\r\n\t\ttry {\r\n\t\t\tSystem.out.println(\"server channelRead: \" + msg);\r\n\t\t} finally {\r\n\t\t\t// ByteBuf是一个引用计数对象，这个对象必须显示地调用release()方法来释放\r\n\t\t\t// or ((ByteBuf)msg).release();\r\n\t\t\tReferenceCountUtil.release(msg);\r\n\t\t}\r\n\r\n\t\t// ctx.writeAndFlush(Unpooled.copiedBuffer(\"hello,client\",\r\n\t\t// CharsetUtil.UTF_8));\r\n\t\tString sendMsg=\"hi,client...\";\r\n\t\tctx.writeAndFlush(new MyMessage(new MyHead(\r\n\t\t\t\tsendMsg.getBytes(\"UTF-8\").length, 1), sendMsg));\r\n\t}","@Override\n public void channelRead(final ChannelHandlerContext ctx, final Object msg) throws Exception {\n\n ByteBuf nettyBuffer = ((ByteBuf) msg);\n if (SYSTEM_OUT_DEBUG) {\n debugInput(nettyBuffer);\n }\n readFrame(nettyBuffer);\n\n if (SYSTEM_OUT_DEBUG) {\n System.out.println(\"performative:\" + currentPerformative);\n }\n\n switch (currentPerformative.getPerformativeType()) {\n case OPEN:\n handleOpen((Open) currentPerformative);\n break;\n case CLOSE:\n handleClose((Close) currentPerformative);\n break;\n case BEGIN:\n handleBegin((Begin) currentPerformative);\n break;\n case END:\n handleEnd((End) currentPerformative);\n break;\n case ATTACH:\n handleAttach((Attach) currentPerformative);\n break;\n default:\n System.out.println(\"Normative \" + currentPerformative + \" not implemented yet\");\n ctx.channel().writeAndFlush(nettyBuffer);\n }\n\n //parser.parse(new ProtonTransportHandlerContext(\"test\", null, null), buffer);\n\n //ctx.fireChannelRead(msg);\n\n //ctx.write(nettyBuffer.readerIndex(0).retain());\n //ctx.flush();\n }","@Override\n public void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\n String body = (String) msg;\n System.out.println(body);\n System.out.println(\"第\"+ ++count + \"次收到服务器回应\");\n }","@Override\n\tprotected void channelRead0(ChannelHandlerContext ctx, WsClientMessage msg) throws Exception {\n\t}","@Override\n public void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\n String body = msg.toString();\n System.out.println(\"返回值：\" + body + \", count = \" + counter.getAndIncrement());\n }","@Override\n public void channelReadComplete(ChannelHandlerContext ctx) throws Exception {\n }","@Override\n protected void channelRead0(ChannelHandlerContext ctx, String msg) throws Exception { // (4)\n Channel incoming = ctx.channel();\n\n String remoteAddress = incoming.remoteAddress().toString();\n logger.info(\"[BudsRpc ][Registry-server] receive data=[{}] from {}\", msg, remoteAddress);\n\n String[] cmd = msg.split(\"\\r\\n\");\n ActionEnum action = ActionEnum.getAction(cmd[0]);\n String service = cmd[1];\n String address = cmd[2];\n String port = cmd[3];\n\n switch (action) {\n case ACTION_REGISTRY:\n Set<Channel> channelSet = registryMap.get(service);\n if (channelSet == null) {\n channelSet = new HashSet<>();\n registryMap.put(service, channelSet);\n }\n channelSet.add(incoming);\n\n Set<String> serviceSet = providerMap.get(remoteAddress);\n if (serviceSet == null) {\n serviceSet = new HashSet<>();\n providerMap.put(remoteAddress, serviceSet);\n }\n serviceSet.add(service);\n\n // 通知订阅者\n notify(service);\n\n case ACTION_SUBSCRIBE:\n ChannelGroup channelGroup = subscribMap.get(service);\n if (channelGroup == null) {\n channelGroup = new DefaultChannelGroup(GlobalEventExecutor.INSTANCE);\n subscribMap.put(service, channelGroup);\n }\n channelGroup.add(incoming);\n break;\n\n }\n\n for (Channel channel : channels) {\n if (channel != incoming) {\n channel.writeAndFlush(\"[\" + incoming.remoteAddress() + \"]\" + msg + \"\\n\");\n } else {\n channel.writeAndFlush(\"[you]\" + msg + \"\\n\");\n }\n }\n }","@Override\n\tpublic void read(ChannelHandlerContext ctx) throws Exception {\n\t\tLog.i(\"MySocketHandler\", \"read\");\n\t\tsuper.read(ctx);\n\t}","@Override\n\tpublic void channelReadComplete(ChannelHandlerContext ctx) throws Exception {\n\t}","public void channelReadComplete(ChannelHandlerContext ctx) throws Exception {\n/* 313 */ processPendingReadCompleteQueue();\n/* 314 */ ctx.fireChannelReadComplete();\n/* */ }","@Override\n public void channelRead0(ChannelHandlerContext ctx, String msg) throws Exception {\n System.err.println(\"来自client的信息：\" + msg);\n Gson gson = new Gson();\n UserInfo userInfo = gson.fromJson(msg, UserInfo.class);\n\n msg = \"用户名:\"+ userInfo.getUsername()+ \" 密码:\" + userInfo.getPassword() + \"----\" + ctx.channel().remoteAddress()+ \"----\" + msg;\n Log.d(\"tag\",msg);\n System.out.println(ctx.channel().id());\n ctx.writeAndFlush(\"1\\n\");\n //ctx.writeAndFlush(\"[\" + ctx.channel().remoteAddress() + \"] \" + msg + '\\n');\n\n }","@Override\n\tpublic void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\n\t\tByteBuf buf = (ByteBuf) msg;\n\t\tSystem.out.println(\"有新的数据,长度:\" + buf.readableBytes());\n\n\t\tif (msgbuf.getDatalen() > 0) {\n\t\t\tint ablelen = buf.readableBytes();\n\n\t\t\tint leftlen = msgbuf.getDatalen() - msgbuf.getDatarev();\n\t\t\tSystem.out.println(\"接着上次预读取:\" + leftlen + \"长度数据\");\n\n\t\t\tif (leftlen > ablelen) {\n\n\t\t\t\tSystem.out.println(\"数据长度小于所要的长度,全部写入\");\n\n\t\t\t\tint oldlimit=msgbuf.getDatabuf().limit();\n\t\t\t\tmsgbuf.getDatabuf().limit(msgbuf.getDatarev()+ablelen);\n\t\t\t\tbuf.getBytes(0, msgbuf.getDatabuf());\n\t\t\t\tmsgbuf.setDatarev(msgbuf.getDatarev() + ablelen);\n\t\t\t\tmsgbuf.getDatabuf().limit(oldlimit);\n\t\t\t} else {\n\n\t\t\t\tbuf.getBytes(0, msgbuf.getDatabuf());\n\n\t\t\t\tSystem.out.println(\"预取长度小于缓冲长度,获取全部包,分发消息\");\n\n\t\t\t\t// 读完了数据,处理了\n\t\t\t\treadFinished(ctx, msgbuf.getDatabuf());\n\t\t\t\tmsgbuf.reSet();\n\n\t\t\t\tif (leftlen < ablelen) {\n\n\t\t\t\t\tSystem.out.println(String.format(\"leftlen长%d,缓冲长度%d,还有数据,接着读下一个包\", leftlen, ablelen));\n\t\t\t\t\tprepareRead(ctx, buf, leftlen);\n\t\t\t\t} else {\n\t\t\t\t\tSystem.out.println(String.format(\"leftlen长%d,缓冲长度%d,没有数据了\", leftlen, ablelen));\n\t\t\t\t}\n\n\t\t\t}\n\t\t} else {\n\t\t\tSystem.out.println(\"msgbuf没有指定长度,按新包处理\");\n\t\t\tprepareRead(ctx, buf, 0);\n\t\t}\n\t\t\n\t\tbuf.clear();\n\t}","@Override\n\tprotected void channelRead0(ChannelHandlerContext ctx, TextWebSocketFrame frame) throws Exception\n\t{\n\t\tci.invoke(frame.text());\n\t}","@Override\n\tpublic void messageReceived(ChannelHandlerContext ctx, MessageEvent e) {\n\t\ttransferredBytes.addAndGet(((ChannelBuffer) e.getMessage())\n\t\t\t\t.readableBytes());\n\t\tlogger.info(\"收到消息: \"+e.getMessage());\n\t\te.getChannel().write(e.getMessage());\n\t}","@Override\n public void channelActive(ChannelHandlerContext ctx) {\n ctx.writeAndFlush(Unpooled.copiedBuffer(\"Netty rocks!\", CharsetUtil.UTF_8));\n }","@Override\n\tpublic void channelReadComplete(ChannelHandlerContext ctx) throws Exception {\n\t\tsuper.channelReadComplete(ctx);\n\t}","@Override\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\n super.channelActive(ctx);\n \n }","@Override\n protected void channelRead0(ChannelHandlerContext ctx, Message msg)\n {\n mDispatcher.dispatch(mPeer, msg);\n }","@Override\n\tprotected void channelRead0(ChannelHandlerContext ctx, RpcRequest msg) throws Exception {\n\t\tRpcResponse response = new RpcResponse();\n\t\tresponse.setRequestId(msg.getRequestId());\n\t\ttry {\n\t\t\tObject result = handle(msg);\n\t\t\tresponse.setResult(result);\n\t\t} catch (Throwable t) {\n\t\t\tLOGGER.debug(\"handle ocurred error ==> {}\", t);\n\t\t\tresponse.setError(t);\n\t\t}\n\t\tctx.writeAndFlush(response).addListener(ChannelFutureListener.CLOSE);//写完然后关闭channel\n\t}","@Override\n\tpublic void channelRead(ChannelHandlerContext ctx, Object msg)\n\t\t\tthrows Exception {\n\t\thandleRequestWithsingleThread(ctx, msg);\n\t}","@Override\n\tpublic void channelReadComplete(ChannelHandlerContext ctx) throws Exception {\n\t\tLog.i(\"MySocketHandler\", \"channelReadComplete\");\n\t\tsuper.channelReadComplete(ctx);\n\t}","@Override\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\n ctx.write(buf.duplicate()).addListener(ChannelFutureListener.CLOSE);\n }","@Override\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\n }","@Override\r\n\tprotected void channelRead0(ChannelHandlerContext ctx, Object msg) throws Exception {\r\n//\t\tnettyChache = Redis.use(\"rediscache\");\r\n\t\tJSONObject resultJson = JSON.parseObject(msg.toString());\r\n\t\tNyMsgType type = NyMsgType.valueOf(resultJson.getString(\"type\"));\r\n\t\tString clientId = resultJson.getString(\"clientid\");\r\n\t\tString data = resultJson.getString(\"data\");\r\n\t\tNyMessage message = new NyMessage();\r\n\t\tmessage.setClientId(clientId);\r\n\t\t// 先判断有没有登录\r\n\t\tif (NyMsgType.LOGIN.equals(type)) {\r\n\t\t\t// 首次登录，添加到当前的map保存\r\n\t\t\tSystem.out.println(\"进来登录\\t将当前的客户添加到队列\\t\" + clientId + \"(Channel) ctx.channel():\" + (Channel) ctx.channel());\r\n\t\t\tNyCurrentChannelMap.add(clientId, (Channel) ctx.channel());\r\n\t\t\tmessage.setType(NyMsgType.SEND);\r\n\t\t\tmessage.setData(\"{\\\"message\\\":\\\"success\\\"}\");\r\n\t\t\tctx.channel().writeAndFlush(message.toString());\r\n\t\t} else {\r\n\t\t\t// 不是登录，判断用户是否存在当前的map\r\n\t\t\tif (NyCurrentChannelMap.get(clientId) == null) {\r\n\t\t\t\t// 发送重新登录信息\r\n\t\t\t\tmessage = new NyMessage(NyMsgType.LOGIN);\r\n\t\t\t\tmessage.setClientId(clientId);\r\n\t\t\t\tctx.channel().writeAndFlush(message.toString());\r\n\t\t\t} else {\r\n\t\t\t\tswitch (type) {\r\n\t\t\t\tcase PING:\r\n\t\t\t\t\tSystem.out.println(\"==========心跳处理==========\");\r\n\t\t\t\t\t// message.setType(NyMsgType.PING);\r\n\t\t\t\t\t// ctx.channel().writeAndFlush(message.toString());\r\n\t\t\t\t\tbreak;\r\n\t\t\t\tcase SEND:\r\n\t\t\t\t\tSystem.out.println(\"发送消息,给指定人clientId发。。。。\");\r\n\t\t\t\t\t// NySendCommand command=new NySendCommand(clientId,\r\n\t\t\t\t\t// \"你瞅啥，瞅你咋地！\");\r\n\t\t\t\t\t// command.send();\r\n\t\t\t\t\tbreak;\r\n\t\t\t\tcase RESPONCE:\r\n\t\t\t\t\t// 返回的消息体\r\n\t\t\t\t\tSystem.out.println(\"-----响应---\" + msg);\r\n\t\t\t\t\tString messageid = resultJson.getString(\"messageid\");\r\n\t\t\t\t\tSystem.out.println(\"messageid=\" + messageid);\r\n\t\t\t\t\t// 保存\r\n\t\t\t\t\tString txtB = \"\";\r\n\t\t\t\t\tJSONArray jsonArray = resultJson.getJSONArray(\"data\");\r\n\t\t\t\t\tfor (int i = 0; i < jsonArray.size(); i++) {\r\n\t\t\t\t\t\tJSONObject temp = jsonArray.getJSONObject(i);\r\n\t\t\t\t\t\ttxtB = temp.getString(\"txtByte\");\r\n\t\t\t\t\t}\r\n\r\n//\t\t\t\t\tGenerateTxt(messageid, txtB);\r\n\t\t\t\t\tmessage.setData(\"{\\\"message\\\":\\\"success\\\"}\");\r\n\t\t\t\t\tmessage.setType(NyMsgType.NO_TARGET);\r\n\t\t\t\t\tctx.channel().writeAndFlush(message.toString());\r\n\t\t\t\t\tbreak;\r\n\t\t\t\tdefault:\r\n\t\t\t\t\tbreak;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t}","@Override\n public void channelRead0(ChannelHandlerContext ctx, String request) throws Exception {\n final JsonObject json = (JsonObject) parser.parse(request);\n if(json.has(\"operation\") && ((json.get(\"operation\").getAsString()).equals(\"data\"))) {\n final DataToProcess obj = GSON.fromJson(json, DataToProcess.class);\n QueuerManager.getInstance().pushPacket(ctx.channel().id().asShortText(), obj);\n// System.out.println(\"REC Data Received \" + ctx.channel().id().asShortText());\n }\n else {\n// System.out.println(\"REC hello packet\");\n }\n }","@Override\n\tprotected void channelRead0(ChannelHandlerContext ctx, HttpObject msg) throws Exception {\n\t\t\n\t\t// This is all debugging...\n\t\tif (msg instanceof HttpResponse) {\n\t\t\tHttpResponse response = (HttpResponse) msg;\n\n\t\t\tlogger.debug(\"STATUS: \" + response.status());\n\t\t\tlogger.debug(\"VERSION: \" + response.protocolVersion());\n\n\t\t\tif (!response.headers().isEmpty()) {\n\t\t\t\tfor (CharSequence name : response.headers().names()) {\n\t\t\t\t\tfor (CharSequence value : response.headers().getAll(name)) {\n\t\t\t\t\t\tlogger.debug(\"HEADER: \" + name + \" = \" + value);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (HttpUtil.isTransferEncodingChunked(response)) {\n\t\t\t\tlogger.debug(\"CHUNKED CONTENT {\");\n\t\t\t} else {\n\t\t\t\tlogger.debug(\"CONTENT {\");\n\t\t\t}\n\t\t}\n\t\t\n\t\t// This is where the work happens. This handler gets called MULTIPLE times.\n\t\tif (msg instanceof HttpContent) {\n\t\t\t// The data from the server\n\t\t\tHttpContent content = (HttpContent) msg;\n\n\t\t\t// Gather all the chunks.\n\t\t\tif (null == chunks) {\n\t\t\t\tlogger.debug(\"Chunks initialized.\");\n\t\t\t\tchunks = copiedBuffer(content.content());\n\t\t\t} else {\n\t\t\t\tlogger.debug(\"Adding chunks\");\n\t\t\t\tchunks = copiedBuffer(chunks, content.content());\n\t\t\t}\n\n\t\t\tlogger.debug(content.content().toString(CharsetUtil.UTF_8));\n\n\t\t\tif (content instanceof LastHttpContent) {\n\t\t\t\tlogger.debug(\"} END OF CONTENT\");\n\t\t\t\tlogger.debug(\"Subscriber in handler: {}\", this.subscriber);\n\t\t\t\tlogger.debug(\"Chunks: {}\", this.chunks);\n\t\t\t\tsubscriber.onNext(chunks.toString(CharsetUtil.UTF_8));\n\t\t\t\tctx.close();\n\t\t\t}\n\t\t}\n\t}","@Override\n\tpublic void channelActive(ChannelHandlerContext ctx) throws Exception {\n\t\tctx.writeAndFlush(firstMessage);\n\t}","@Override\n public void messageReceived(ChannelHandlerContext ctx, MessageEvent e) {\n Channel ch = ctx.getChannel();\n //Player player = (Player) ch.getAttachment();\n Client client = (Client) ch.getAttachment();\n \n if (ch.isConnected()) { // && !client.getPlayer().destroyed() \n RSCPacket packet = (RSCPacket) e.getMessage();\n //player.addPacket(p); // Used to log packets for macro detection\n //engine.addPacket(p); // This one actually results in the packet being processed!\n client.pushToMessageQueue(packet);\n }\n }","@Override\n public void process(ChannelHandlerContext ctx, Node node, Message message) {\n if (logger.isTraceEnabled()) {\n logger.trace(\" receive heartbeat, host: {}, seq: {}\", node, message.getSeq());\n }\n }","@Override\n public void channelRead0(ChannelHandlerContext ctx, HttpObject msg) {\n if (msg instanceof HttpResponse) {\n //clear the buffer.\n _responseBodyBuf.clear();\n //\n HttpResponse response = (HttpResponse) msg;\n //get HTTP Response code.\n this._hcr._responseStatus = response.getStatus();\n //\n //print header.\n Set<String> headers = response.headers().names();\n for (Iterator<String> keyIter = headers.iterator(); keyIter.hasNext();) {\n String keyName = keyIter.next();\n //System.out.println(keyName + \":\" + response.headers().get(keyName));\n this._hcr._responseHeaderMap.put(keyName, response.headers().get(keyName));\n }\n }\n //content or lastContent\n if (msg instanceof HttpContent) {\n HttpContent content = (HttpContent) msg;\n _responseBodyBuf.writeBytes(content.content());\n //if is last content fire done.\n if (content instanceof LastHttpContent) {\n try {\n fireDone(_responseBodyBuf.toString(this._hcr._responseBodyCharset));\n } finally {\n ctx.close();\n releaseResource();\n }\n }\n }\n }","@Override\n public void channelRead(ChannelHandlerContext ctx, Object msg)\n {\n throw new IllegalStateException(\"InboundMessageHandler doesn't expect channelRead() to be invoked\");\n }","@Override\n public void channelRead(ChannelHandlerContext ctx, Object msg) {\n try {\n // The incoming message should have been transformed to a CorfuMsg earlier in the pipeline.\n CorfuMsg m = ((CorfuMsg) msg);\n // We get the handler for this message from the map\n AbstractServer handler = handlerMap.get(m.getMsgType());\n if (handler == null) {\n // The message was unregistered, we are dropping it.\n log.warn(\"Received unregistered message {}, dropping\", m);\n } else {\n if (validateEpoch(m, ctx)) {\n // Route the message to the handler.\n log.trace(\"Message routed to {}: {}\", handler.getClass().getSimpleName(), msg);\n handlerWorkers.submit(() -> handler.handleMessage(m, ctx, this));\n }\n }\n } catch (Exception e) {\n log.error(\"Exception during read!\", e);\n }\n }","void onSomething(org.jboss.netty.buffer.ChannelBuffer buffer);","@Override\n protected void initChannel(SocketChannel ch) throws Exception {\n //4. Add ChannelHandler to intercept events and allow to react on them\n ch.pipeline().addLast(new ChannelHandlerAdapter() {\n @Override\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\n //5. Write message to client and add ChannelFutureListener to close connection once message written\n ctx.write(buf.duplicate()).addListener(ChannelFutureListener.CLOSE);\n }\n });\n }","@Override\n protected void decode(ChannelHandlerContext ctx, Message msg, List<Object> out) throws Exception \n {\n GameAppContext context = ctx.channel().attr(GameAppContextKey.KEY).get();\n \n // and let the context decide what to do with the message\n context.handleMessage(msg);\n \n // we dont break the cycle here - maybe other handlers sit behind this one\n out.add(msg);\n }","protected Object decode(ChannelHandlerContext ctx, ByteBuf in)\r\n/* 30: */ throws Exception\r\n/* 31: */ {\r\n/* 32:74 */ if (in.readableBytes() < this.frameLength) {\r\n/* 33:75 */ return null;\r\n/* 34: */ }\r\n/* 35:77 */ return in.readRetainedSlice(this.frameLength);\r\n/* 36: */ }","@Override\n protected void channelRead0(ChannelHandlerContext ctx, Map<String, Object> msg) throws Exception {\n Object id = msg.get(IAdapter.TEMPLATE_ID);\n Validate.notNull(id);\n if ((int)id == SyncMessageDecoder.TEMPLATE_ID){\n //TODO do some business ,For example printout\n Object o = msg.get(SyncInfo.class.getSimpleName());\n Validate.notNull(o);\n if (o instanceof SyncInfo){\n System.out.println(((SyncInfo)o).toString());\n }\n }\n }","@Override\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\n System.out.println(\"【channelActive】。。。\");\n }","@Override\n public void onRecivMessage(Channel channel, NettyMessage message,\n String tag, JsonParser parser)\n {\n if (!messageFilter(message))\n {\n Log.e(\"\", \"SDK 已拦截掉指令 \" + message.getHeader());\n return;\n }\n try {\n dosomething(channel, message, parser);\n } catch (UnsupportedEncodingException e) {\n e.printStackTrace();\n }\n }","@Override\n public void channelRead(ChannelHandlerContext ctx, Object msg) {\n if (ctx.channel().attr(AUTH).get() != AuthStep.STEP_AUTHED) {\n return;\n }\n\n AbstractRealmClientPacket request = (AbstractRealmClientPacket) msg;\n\n AbstractRealmServerPacket response = null;\n\n logger.info(msg.toString());\n\n switch (request.getOpcode()) {\n case CMSG_PING:\n response = new SMSG_PING(Opcodes.SMSG_PING);\n\n int ping = ((CMSG_PING) request).getPing();\n\n ((SMSG_PING) response).setPing(ping);\n\n break;\n case CMSG_CHAR_ENUM:\n response = new SMSG_CHAR_ENUM(Opcodes.SMSG_CHAR_ENUM);\n\n // Adding character list.\n ((SMSG_CHAR_ENUM) response).addCharacters(characterService.getCharactersForAccount(ctx.channel().attr(ACCOUNT).get()));\n\n break;\n case CMSG_CHAR_CREATE:\n response = new SMSG_CHAR_CREATE(Opcodes.SMSG_CHAR_CREATE);\n\n ((SMSG_CHAR_CREATE) response).setResult(\n characterService.createChar(\n ((CMSG_CHAR_CREATE) request).getName(),\n ((CMSG_CHAR_CREATE) request).getRace(),\n ((CMSG_CHAR_CREATE) request).getCharClass(),\n ((CMSG_CHAR_CREATE) request).getGender(),\n ((CMSG_CHAR_CREATE) request).getSkin(),\n ((CMSG_CHAR_CREATE) request).getFace(),\n ((CMSG_CHAR_CREATE) request).getHairStyle(),\n ((CMSG_CHAR_CREATE) request).getHairColor(),\n ((CMSG_CHAR_CREATE) request).getFacialHair(),\n ctx.pipeline().get(RealmAuthHandler.class).getAccount()\n )\n );\n\n break;\n case CMSG_CHAR_DELETE:\n response = new SMSG_CHAR_DELETE(Opcodes.SMSG_CHAR_DELETE);\n\n ((SMSG_CHAR_DELETE) response).setResult(\n characterService.deleteChar(\n ((CMSG_CHAR_DELETE) request).getId(),\n ctx.pipeline().get(RealmAuthHandler.class).getAccount(),\n false\n )\n );\n\n break;\n\n case CMSG_PLAYER_LOGIN:\n if (characterService.loginChar(((CMSG_PLAYER_LOGIN) request).getId(), \n ctx.pipeline().get(RealmAuthHandler.class).getAccount())) {\n SMSG_LOGIN_VERIFY_WORLD packet = new SMSG_LOGIN_VERIFY_WORLD();\n \n /**packet.setMap(characterService.getLoggedCharacter().getFkDbcMap());\n packet.setPosX(characterService.getLoggedCharacter().getPositionX());\n packet.setPosY(characterService.getLoggedCharacter().getPositionY());\n packet.setPosZ(characterService.getLoggedCharacter().getPositionZ());\n packet.setOrientation(characterService.getLoggedCharacter().getOrientation());*/\n \n ctx.write(packet);\n \n SMSG_ACCOUNT_DATA_TIMES data = new SMSG_ACCOUNT_DATA_TIMES();\n \n ctx.write(data);\n \n \n } else {\n // Kick unknown client. \n ctx.close();\n }\n\n break;\n\n default:\n logger.error(\"Packet received, opcode not handled: \" + request.getOpcode());\n break;\n }\n\n if(response != null){ \n ctx.writeAndFlush(response);\n } else {\n // Let pass this to other handlers.\n ctx.fireChannelRead(msg);\n }\n }","@Override\n public int getChannel()\n {\n return channel;\n }","@Override\n public void initChannel(SocketChannel ch) throws Exception {\n ch.pipeline().addLast(new OutMessageHandler());\n\n }","@Override\n\t\t\t\t\t\tpublic void channelActive(ChannelHandlerContext ctx) {\n\t\t\t\t\t\t\tSystem.out.println(RestResult.success(\"channel active!\"));\n\t\t\t\t\t\t}","@Override\n public void channelRead(final ChannelHandlerContext ctx, final Object msg) throws Exception {\n MessageProto.Message message = (MessageProto.Message) msg;\n if (message.getLength() != 2 && message.getAction() == ActionType.HEARTBEAT_REQ) {\n logger.debug(\"Receive client heart beat message\");\n ctx.writeAndFlush(buildHeartBeat());\n logger.debug(\"Send heart beat message to client\");\n } else {\n ctx.fireChannelRead(msg);\n }\n }","@Override\n\tpublic void channelActive(ChannelHandlerContext ctx) throws Exception {\n\t\tLog.i(\"MySocketHandler\", \"channelActive\");\n\t\tsuper.channelActive(ctx);\n\t}","public void printRead(int channel);","@Override\n protected void initChannel(SocketChannel ch) throws Exception {\n NettyCodecAdapter adapter = new NettyCodecAdapter();\n\n ch.pipeline()\n .addLast(\"logging\", new LoggingHandler(LogLevel.INFO))//for debug\n .addLast(\"decoder\", adapter.getDecoder())\n// .addLast(\"http-aggregator\", new HttpObjectAggregator(65536))\n .addLast(\"encoder\", adapter.getEncoder())\n// .addLast(\"http-chunked\", new ChunkedWriteHandler())\n// .addLast(\"server-idle-handler\", new IdleStateHandler(0, 0, 60 * 1000, MILLISECONDS))\n .addLast(\"handler\", nettyServerHandler);\n }","@Override\n public void channelReadComplete(final ChannelHandlerContext ctx) {\n ctx.flush();\n }","@Override\n public void channelRead(final ChannelHandlerContext ctx,final Object msg) {\n deliveryService.delivery(ctx,msg);\n }","public ChannelFuture writeOneInbound(Object msg, ChannelPromise promise) {\n/* 349 */ if (checkOpen(true)) {\n/* 350 */ pipeline().fireChannelRead(msg);\n/* */ }\n/* 352 */ return checkException(promise);\n/* */ }","@Override\n protected void sink(Message message) {\n }","ByteBuf getMessageBody();","@Override\n\tpublic void receive(String msg) {\n\t\t\n\t}","public void write(ChannelHandlerContext ctx, Object msg, ChannelPromise promise)\r\n/* 33: */ throws Exception\r\n/* 34: */ {\r\n/* 35: 81 */ CodecOutputList out = null;\r\n/* 36: */ try\r\n/* 37: */ {\r\n/* 38: 83 */ if (acceptOutboundMessage(msg))\r\n/* 39: */ {\r\n/* 40: 84 */ out = CodecOutputList.newInstance();\r\n/* 41: */ \r\n/* 42: 86 */ I cast = msg;\r\n/* 43: */ try\r\n/* 44: */ {\r\n/* 45: 88 */ encode(ctx, cast, out);\r\n/* 46: */ }\r\n/* 47: */ finally\r\n/* 48: */ {\r\n/* 49: 90 */ ReferenceCountUtil.release(cast);\r\n/* 50: */ }\r\n/* 51: 93 */ if (out.isEmpty())\r\n/* 52: */ {\r\n/* 53: 94 */ out.recycle();\r\n/* 54: 95 */ out = null;\r\n/* 55: */ \r\n/* 56: */ \r\n/* 57: 98 */ throw new EncoderException(StringUtil.simpleClassName(this) + \" must produce at least one message.\");\r\n/* 58: */ }\r\n/* 59: */ }\r\n/* 60: */ else\r\n/* 61: */ {\r\n/* 62:101 */ ctx.write(msg, promise);\r\n/* 63: */ }\r\n/* 64: */ }\r\n/* 65: */ catch (EncoderException e)\r\n/* 66: */ {\r\n/* 67: */ int sizeMinusOne;\r\n/* 68: */ ChannelPromise voidPromise;\r\n/* 69: */ boolean isVoidPromise;\r\n/* 70: */ int i;\r\n/* 71: */ ChannelPromise p;\r\n/* 72: */ ChannelPromise p;\r\n/* 73:104 */ throw e;\r\n/* 74: */ }\r\n/* 75: */ catch (Throwable t)\r\n/* 76: */ {\r\n/* 77:106 */ throw new EncoderException(t);\r\n/* 78: */ }\r\n/* 79: */ finally\r\n/* 80: */ {\r\n/* 81:108 */ if (out != null)\r\n/* 82: */ {\r\n/* 83:109 */ int sizeMinusOne = out.size() - 1;\r\n/* 84:110 */ if (sizeMinusOne == 0)\r\n/* 85: */ {\r\n/* 86:111 */ ctx.write(out.get(0), promise);\r\n/* 87: */ }\r\n/* 88:112 */ else if (sizeMinusOne > 0)\r\n/* 89: */ {\r\n/* 90:115 */ ChannelPromise voidPromise = ctx.voidPromise();\r\n/* 91:116 */ boolean isVoidPromise = promise == voidPromise;\r\n/* 92:117 */ for (int i = 0; i < sizeMinusOne; i++)\r\n/* 93: */ {\r\n/* 94: */ ChannelPromise p;\r\n/* 95: */ ChannelPromise p;\r\n/* 96:119 */ if (isVoidPromise) {\r\n/* 97:120 */ p = voidPromise;\r\n/* 98: */ } else {\r\n/* 99:122 */ p = ctx.newPromise();\r\n/* 100: */ }\r\n/* 101:124 */ ctx.write(out.getUnsafe(i), p);\r\n/* 102: */ }\r\n/* 103:126 */ ctx.write(out.getUnsafe(sizeMinusOne), promise);\r\n/* 104: */ }\r\n/* 105:128 */ out.recycle();\r\n/* 106: */ }\r\n/* 107: */ }\r\n/* 108: */ }","@Override public void handleMessage(Message msg) {\n super.handleMessage(msg);\n byte[] byteArray = (byte[]) msg.obj;\n int length = msg.arg1;\n byte[] resultArray = length == -1 ? byteArray : new byte[length];\n for (int i = 0; i < byteArray.length && i < length; ++i) {\n resultArray[i] = byteArray[i];\n }\n String text = new String(resultArray, StandardCharsets.UTF_8);\n if (msg.what == BluetoothTalker.MessageConstants.MESSAGE_WRITE) {\n Log.i(TAG, \"we just wrote... [\" + length + \"] '\" + text + \"'\");\n// mIncomingMsgs.onNext(text);\n } else if (msg.what == BluetoothTalker.MessageConstants.MESSAGE_READ) {\n Log.i(TAG, \"we just read... [\" + length + \"] '\" + text + \"'\");\n Log.i(TAG, \" >>r \" + Arrays.toString((byte[]) msg.obj));\n mIncomingMsgs.onNext(text);\n sendMsg(\"I heard you : \" + Math.random() + \"!\");\n// mReadTxt.setText(++ri + \"] \" + text);\n// if (mServerBound && mServerService.isConnected()) {\n// mServerService.sendMsg(\"I heard you : \" + Math.random() + \"!\");\n// } else if (mClientBound && mClientService.isConnected()) {\n// mClientService.sendMsg(\"I heard you : \" + Math.random() + \"!\");\n// }\n// mBluetoothStuff.mTalker.write();\n }\n }","public ChannelPipeline method_4119() {\n return null;\n }","@Override\n\tpublic void channelWritabilityChanged(ChannelHandlerContext ctx) throws Exception {\n\t\tLog.i(\"MySocketHandler\", \"channelWritabilityChanged\");\n\t\tsuper.channelWritabilityChanged(ctx);\n\t}","@Override\n\tpublic void channelRegistered(ChannelHandlerContext ctx) throws Exception {\n\t\tLog.i(\"MySocketHandler\", \"channelRegistered\");\n\t\tsuper.channelRegistered(ctx);\n\t}","@Override\n protected void initChannel (SocketChannel ch) throws Exception {\n // can utilize channel to push message to different client since one channel correspond to one client\n System.out.println(\"client socket channel hashcode = \" + ch.hashCode());\n ch.pipeline().addLast(new NettyServerHandler());\n }","@Override\n\tpublic void receive() {\n\t}","@Override\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\n ctx.fireChannelActive();\n\n ctx.executor().scheduleAtFixedRate(new Runnable() {\n @Override\n public void run() {\n log.info(\"send heart beat\");\n HeartBeat heartBeat = new HeartBeat();\n ctx.writeAndFlush(heartBeat);\n }\n }, 0, 5, TimeUnit.SECONDS);\n }","@Override\r\n\tprotected void initChannel(SocketChannel ch) throws Exception {\n\t\tch.pipeline().addLast(\"tcpDecoder\", new MessageDecoder());\r\n\t\tch.pipeline().addLast(\"tcpHandler\", new TcpServerHandler(ac)); \r\n\t\t\r\n\t}","@Override\n\tpublic void flush(ChannelHandlerContext ctx) throws Exception {\n\t\tLog.i(\"MySocketHandler\", \"flush\");\n\t\tsuper.flush(ctx);\n\t}","@Override\n\tpublic void readMessage(Message message) {\n\t\t\n\t}","@Override\n\tpublic void msgReceived(Message msg) {\n\n\t}","@Override\n\tprotected void initChannel(SocketChannel ch) throws Exception {\n\t\tch.pipeline().addLast(\"tcpDecoder\", new MessageDecoder());\n\t\tch.pipeline().addLast(\"tcpHandler\", new TcpServerHandler(ac)); \n\t\t\n\t}","@Override\n protected void initChannel(Channel ch) throws Exception {\n log.info(\"Initialize handler pipeline for: {}\", ch);\n ch.pipeline().addLast(\"lineBaseSplit\", new LineBasedFrameDecoder(Integer.MAX_VALUE));\n ch.pipeline().addLast(new StringDecoder());\n ch.pipeline().addLast(\"echo\", new EchoHandler2());\n }","public void execHandlerRead( Message msg ) {\n\t \t// create valid data bytes\n\t\tbyte[] buffer = (byte[]) msg.obj;\n\t\tint length = (int) msg.arg1;\n\t\tbyte[] bytes = new byte[ length ];\n\t\tfor ( int i=0; i < length; i++ ) {\n\t\t\tbytes[ i ] = buffer[ i ];\n\t\t}\n\t\t// debug\n\t\tString read = buildMsgBytes( \"r \", bytes );\n\t\tlog_d( read );\n\t\taddAndShowTextViewDebug( read );\n\t\tnotifyRead( bytes );\n\t}","public Message getMessageMinerChannel() {\n\t\t\n\t\tMessage temp = null;\t\n\t\ttry {\n\t\t\t//se ia mesajul din buffer\n\t\t\ttemp = bufferMinerChannel.take();\n\t\t} catch (InterruptedException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn temp;\n\t}","@Override\r\n\tprotected void initChannel(SocketChannel ch) throws Exception {\n ChannelPipeline pipeline = ch.pipeline();\r\n\r\n if (isSSL) {\r\n SSLEngine engine = SecureSSLContextFactory.getServerContext().createSSLEngine();\r\n engine.setUseClientMode(false);\r\n pipeline.addLast(\"ssl\", new SslHandler(engine));\r\n }\r\n\r\n pipeline.addLast(\"decoder\", new HttpRequestDecoder());\r\n pipeline.addLast(\"encoder\", new HttpResponseEncoder());\r\n\r\n // Remove the following line if you don't want automatic content\r\n // compression.\r\n pipeline.addLast(\"deflater\", new HttpContentCompressor());\r\n \r\n pipeline.addLast( \"http-aggregator\", new HttpObjectAggregator( Integer.MAX_VALUE ) );\r\n\t\t\r\n pipeline.addLast(\"chunkedWriter\",new ChunkedWriteHandler());\r\n\r\n pipeline.addLast(\"handler\", receiveHandler);\r\n\t\t\r\n\t}","public ChannelFuture writeOneInbound(Object msg) {\n/* 339 */ return writeOneInbound(msg, newPromise());\n/* */ }","private common.messages.KVMessage receiveMessage() throws IOException {\r\n\t\t\r\n\t\tint index = 0;\r\n\t\tbyte[] msgBytes = null, tmp = null;\r\n\t\tbyte[] bufferBytes = new byte[BUFFER_SIZE];\r\n\t\t\r\n\t\t/* read first char from stream */\r\n\t\tbyte read = (byte) input.read();\t\r\n\t\tboolean reading = true;\r\n\t\t\r\n//\t\tlogger.info(\"First Char: \" + read);\r\n//\t\tCheck if stream is closed (read returns -1)\r\n//\t\tif (read == -1){\r\n//\t\t\tTextMessage msg = new TextMessage(\"\");\r\n//\t\t\treturn msg;\r\n//\t\t}\r\n\r\n\t\twhile(/*read != 13 && */ read != 10 && read !=-1 && reading) {/* CR, LF, error */\r\n\t\t\t/* if buffer filled, copy to msg array */\r\n\t\t\tif(index == BUFFER_SIZE) {\r\n\t\t\t\tif(msgBytes == null){\r\n\t\t\t\t\ttmp = new byte[BUFFER_SIZE];\r\n\t\t\t\t\tSystem.arraycopy(bufferBytes, 0, tmp, 0, BUFFER_SIZE);\r\n\t\t\t\t} else {\r\n\t\t\t\t\ttmp = new byte[msgBytes.length + BUFFER_SIZE];\r\n\t\t\t\t\tSystem.arraycopy(msgBytes, 0, tmp, 0, msgBytes.length);\r\n\t\t\t\t\tSystem.arraycopy(bufferBytes, 0, tmp, msgBytes.length,\r\n\t\t\t\t\t\t\tBUFFER_SIZE);\r\n\t\t\t\t}\r\n\r\n\t\t\t\tmsgBytes = tmp;\r\n\t\t\t\tbufferBytes = new byte[BUFFER_SIZE];\r\n\t\t\t\tindex = 0;\r\n\t\t\t} \r\n\t\t\t\r\n\t\t\t/* only read valid characters, i.e. letters and constants */\r\n\t\t\tbufferBytes[index] = read;\r\n\t\t\tindex++;\r\n\t\t\t\r\n\t\t\t/* stop reading is DROP_SIZE is reached */\r\n\t\t\tif(msgBytes != null && msgBytes.length + index >= DROP_SIZE) {\r\n\t\t\t\treading = false;\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\t/* read next char from stream */\r\n\t\t\tread = (byte) input.read();\r\n\t\t}\r\n\t\t\r\n\t\tif(msgBytes == null){\r\n\t\t\ttmp = new byte[index];\r\n\t\t\tSystem.arraycopy(bufferBytes, 0, tmp, 0, index);\r\n\t\t} else {\r\n\t\t\ttmp = new byte[msgBytes.length + index];\r\n\t\t\tSystem.arraycopy(msgBytes, 0, tmp, 0, msgBytes.length);\r\n\t\t\tSystem.arraycopy(bufferBytes, 0, tmp, msgBytes.length, index);\r\n\t\t}\r\n\t\t\r\n\t\tmsgBytes = tmp;\r\n\t\t\r\n\t\t/* build final String */\r\n\t\tcommon.messages.KVMessage msg = new common.messages.KVAdminMessage(msgBytes);\r\n\t\tlogger.debug(\"RECEIVE \\t<\" \r\n\t\t\t\t+ clientSocket.getInetAddress().getHostAddress() + \":\" \r\n\t\t\t\t+ clientSocket.getPort() + \">: '\" \r\n\t\t\t\t+ msg.getMsg().trim() + \"'\");\r\n\t\treturn msg;\r\n }","public interface IByteBufReader\n{\n /** Called to read an object from byte buf\n * @param buf a {@link ByteBuf} to read from\n * @return instance of the object\n */\n Object readBytes(ByteBuf buf);\n}","protected void onChannelData(SshMsgChannelData msg) throws IOException {\r\n if(firstPacket) {\r\n\t if(dataSoFar==null) {\r\n\t dataSoFar = msg.getChannelData();\r\n\t } else {\r\n\t byte newData[] = msg.getChannelData();\r\n\t byte data[] = new byte[dataSoFar.length+newData.length];\r\n\t System.arraycopy(dataSoFar, 0, data, 0, dataSoFar.length);\r\n\t System.arraycopy(newData, 0, data, dataSoFar.length, newData.length);\r\n\t dataSoFar = data;\r\n\t }\r\n\t if(allDataCheckSubst()) {\r\n\t firstPacket = false;\r\n\t socket.getOutputStream().write(dataSoFar);\r\n\t }\r\n } else {\r\n\t try {\r\n\t socket.getOutputStream().write(msg.getChannelData());\r\n\t }\r\n\t catch (IOException ex) {\r\n\t }\r\n }\r\n }","@Override\n protected String format(ChannelHandlerContext ctx, String eventName, Object arg) {\n if (arg instanceof ByteBuf) {\n return formatByteBuf(ctx, eventName, (ByteBuf) arg);\n } else if (arg instanceof ByteBufHolder) {\n return formatByteBufHolder(ctx, eventName, (ByteBufHolder) arg);\n } else {\n return formatSimple(ctx, eventName, arg);\n }\n }","@Override\n public void channelConnected(ChannelHandlerContext ctx, ChannelStateEvent e)\n {\n \n Channel connectedChannel = e.getChannel();\n allChannels.add(connectedChannel);\n \n msg = StringAppender.mergeToStr(connectedMsg, e.getChannel().getLocalAddress().toString(), \" , Connections:\", String.valueOf(allChannels.size()));\n logger.info(msg);\n \n }","protected void readPayload() throws IOException {\n _data_stream.skipBytes(PushCacheProtocol.COMMAND_LEN);\n int rlen = _data_stream.readInt();\n if (rlen == 0) {\n return;\n }\n _text_buffer = new byte[rlen];\n int sofar = 0;\n int toread = rlen;\n sofar = 0;\n toread = rlen;\n int rv = -1;\n edu.hkust.clap.monitor.Monitor.loopBegin(752);\nwhile (toread > 0) { \nedu.hkust.clap.monitor.Monitor.loopInc(752);\n{\n rv = _in.read(_text_buffer, sofar, toread);\n if (rv < 0) {\n throw new IOException(\"read returned \" + rv);\n }\n sofar += rv;\n toread -= rv;\n }} \nedu.hkust.clap.monitor.Monitor.loopEnd(752);\n\n _data_stream = new DataInputStream(new ByteArrayInputStream(_text_buffer));\n }","@Override\r\n public void handleMessage(Message msg) {\n }","private void handleRead(SelectionKey key) throws IOException {\n\t\t\tSSLSocketChannel ssl_socket_channel = ((SSLClientSession)key.attachment()).getSSLSocketChannel();\n\t\t\tByteBuffer request = ssl_socket_channel.getAppRecvBuffer();\n\t\t\tint count = ssl_socket_channel.read();\n\t\t\t\n\t\t\tif (count < 0) {\n\t\t\t\t\n\t\t\t\tremoveKeyAndSession(key);\n\t\t\t\t\n\t\t\t} else if (request.position() > 0) {\n\t\t\t\t\n\t\t\t\ttry {\n\t\t\t\t\tString message = new String(request.array(),0,request.position());\n\t\t\t\t\t\n//\t\t\t\t\tOutputHandler.println(\"Server: read \"+message);\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t// Parse the JSON message\n\t\t\t\t\tJSONObject json = (JSONObject) parser.parse(message);\n\t\t\t\t\t\n\t\t\t\t\t// Process the message\n\t\t\t\t\tprocessNetworkMessage(json, key);\n\t\t\t\t\t\n\t\t\t\t\trequest.clear();\n\t\t\t\t} catch (ParseException e) {\n\t\t\t\t\tSystem.out.println(\"Invalid message format.\");\n\t\t\t\t}\n\t\t\t}\n\t\t}","protected void channelRead0(ChannelHandlerContext channelHandlerContext, CommandMessage command) throws Exception {\r\n\r\n final Op cmd = command.op;\r\n\r\n // now do the real work\r\n if (this.verbose) {\r\n final StringBuilder log = new StringBuilder(1024);\r\n log.append(cmd);\r\n if (command.element != null) {\r\n log.append(\" \").append(command.element.getKey());\r\n }\r\n log.append(\" \").append(command.key);\r\n logger.info(log.toString());\r\n }\r\n\r\n final Channel channel = channelHandlerContext.channel();\r\n if (cmd == null) {\r\n handleNoOp(command, channel);\r\n } else {\r\n switch (cmd) {\r\n case GET:\r\n handleGet(command, channel);\r\n break;\r\n case GETS:\r\n handleGets(command, channel);\r\n break;\r\n case APPEND:\r\n handleAppend(command, channel);\r\n break;\r\n case PREPEND:\r\n handlePrepend(command, channel);\r\n break;\r\n case DELETE:\r\n handleDelete(command, channel);\r\n break;\r\n case DECR:\r\n handleDecr(command, channel);\r\n break;\r\n case INCR:\r\n handleIncr(command, channel);\r\n break;\r\n case REPLACE:\r\n handleReplace(command, channel);\r\n break;\r\n case ADD:\r\n handleAdd(command, channel);\r\n break;\r\n case SET:\r\n handleSet(command, channel);\r\n break;\r\n case CAS:\r\n handleCas(command, channel);\r\n break;\r\n case STATS:\r\n handleStats(command, channel);\r\n break;\r\n case VERSION:\r\n handleVersion(command, channel);\r\n break;\r\n case QUIT:\r\n handleQuit(channel);\r\n break;\r\n case FLUSH_ALL:\r\n handleFlush(command, channel);\r\n break;\r\n case VERBOSITY:\r\n handleVerbosity(command, channel);\r\n break;\r\n default:\r\n throw new UnknownCommandException(\"unknown command\");\r\n }\r\n }\r\n }","public static void main(String[] args) throws Exception {\n final SocketChannel socketChannel = SocketChannel.open(new InetSocketAddress(\"127.0.0.1\", 8088));\n socketChannel.configureBlocking(false);\n\n //客户端建立连接\n// socketChannel.register(selector, SelectionKey.OP_CONNECT);\n// socketChannel.isConnected();\n\n\n// new Thread(new Runnable() {\n// @Override\n// public void run() {\n// System.out.println(\"客户端发送消息~~~\");\n// String clientMsg = \"客户端首发信息\";\n// ByteBuffer byteBuffer = ByteBuffer.allocate(clientMsg.getBytes().length);\n// byteBuffer.put(clientMsg.getBytes());\n// byteBuffer.flip();\n// try {\n// socketChannel.write(byteBuffer);\n// } catch (IOException e) {\n// e.printStackTrace();\n// }\n// }\n// }).start();\n\n System.out.println(\"客户端发送消息~~~\");\n String clientMsg = \"客户端首发信息\";\n ByteBuffer byteBuffer = ByteBuffer.allocate(clientMsg.getBytes().length);\n byteBuffer.put(clientMsg.getBytes());\n byteBuffer.flip();\n try {\n socketChannel.write(byteBuffer);\n } catch (IOException e) {\n e.printStackTrace();\n }\n\n Scanner scanner = new Scanner(System.in);\n while (scanner.hasNext()){\n byteBuffer.flip();\n String str = scanner.next();\n byteBuffer.put(str.getBytes());\n byteBuffer.flip();\n socketChannel.write(byteBuffer);\n }\n socketChannel.close();\n// System.out.println(\"客户端接收消息~~~\");\n// ByteBuffer bbf = ByteBuffer.allocate(1024);\n// int num = socketChannel.read(bbf);\n// if (num > 0) {\n// bbf.flip();\n// byte[] bytes = new byte[bbf.remaining()];\n// bbf.get(bytes);\n// System.out.println(\"客户端接收到服务端信息：\" + (new String(bytes, \"UTF-8\")));\n// }\n\n// while (true) {\n//// selector.select(1000);\n// Set<SelectionKey> selectionKeys = selector.selectedKeys();\n// Iterator<SelectionKey> iterator = selectionKeys.iterator();\n// System.out.println(\"--1\");\n// while (iterator.hasNext()) {\n// System.out.println(\"--2\");\n// SelectionKey key = iterator.next();\n// System.out.println(\"--3\");\n//\n// final SocketChannel channel = (SocketChannel) key.channel();\n// new Thread(new Runnable() {\n// @Override\n// public void run() {\n// System.out.println(\"客户端发送消息~~~\");\n// String clientMsg = \"客户端首发信息\";\n// ByteBuffer byteBuffer = ByteBuffer.allocate(clientMsg.getBytes().length);\n// byteBuffer.put(clientMsg.getBytes());\n// byteBuffer.flip();\n// try {\n// channel.write(byteBuffer);\n// } catch (IOException e) {\n// e.printStackTrace();\n// }\n// }\n// }).start();\n// System.out.println(\"--4\");\n// if (key.isReadable()) {\n// System.out.println(\"客户端接收消息~~~\");\n// ByteBuffer bbf = ByteBuffer.allocate(1024);\n// int num = channel.read(bbf);\n// if (num > 0) {\n// bbf.flip();\n// byte[] bytes = new byte[bbf.remaining()];\n// bbf.put(bytes);\n// System.out.println(\"客户端接收到服务端信息：\" + (new String(bytes, \"UTF-8\")));\n// }\n// }\n// iterator.remove();\n// }\n// }\n\n }","SocketChannel getChannel();","public static void main(String[] args) {\n\t\tSystem.out.println(\"Hello\");\n\t\tByteBuf bb = Unpooled.buffer();\n\t\t\n\t\tSystem.out.println(bb.retain());\n\t\tSystem.out.println(bb.capacity());\n\t\tSystem.out.println(bb);\n\t\tbb.writeByte(5);\n\t\tbb.writeInt(5);\n\t\tbyte a = bb.readByte();\n\t\tSystem.out.println(bb);\n\t\tSystem.out.println(a);\n\t}","@Override\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\n RemoteSensor remoteSensor = RemoteSensorManager.getInstance().addSensorChannel(ctx);\n QueuerManager.getInstance().addClient(remoteSensor);\n// System.out.println(RemoteSensorManager.getInstance().getRemoteSensorsNamesList().size());\n }","@Override\n\t\t\t\t\tprotected void initChannel(SocketChannel ch)\n\t\t\t\t\t{\n\t\t\t\t\t\tch.pipeline().addLast(new LengthFieldPrepender(2));\n\t\t\t\t\t\tch.pipeline().addLast(new LengthFieldBasedFrameDecoder(0xFFFF, 0, 2));\n\t\t\t\t\t\tch.pipeline().addLast(new PacketCodec());\n\t\t\t\t\t\tch.pipeline().addLast(new ServerChannelHandler(instance));\n\t\t\t\t\t}","@Override\n\t\t\t\t\tpublic void completed(Integer result, AsynchronousSocketChannel channel) {\n\n\t\t\t\t\t\t//AsyncSocketTransport.this.transportListeners.forEach(l -> l.onReceived(buf));\n\t\t\t\t\t\tsubscriber.onNext(new Packet(session, buf));\n\n\t\t\t\t\t\t// start to read next message again\n\t\t\t\t\t\tstartRead(channel);\n\t\t\t\t\t}","public ByteBuf readBytes(ByteBuf dst)\r\n/* 465: */ {\r\n/* 466:478 */ recordLeakNonRefCountingOperation(this.leak);\r\n/* 467:479 */ return super.readBytes(dst);\r\n/* 468: */ }","@Override\n public void onBufferReceived(byte[] buffer) {\n }","int filterBytes(GetsState gs) {\n ChannelBuffer buf;\n byte[] raw;\n int rawStart, rawEnd;\n char[] dst;\n int offset, toRead, /*dstNeeded,*/ spaceLeft, result, rawLen, length;\n TclObject obj;\n final int ENCODING_LINESIZE = 20; // Lower bound on how many bytes\n // to convert at a time. Since we\n // don't know a priori how many\n // bytes of storage this many\n // source bytes will use, we\n // actually need at least\n // ENCODING_LINESIZE bytes of room.\n\n boolean goto_read = false; // Set to true when jumping to the read\n // label, used to simulate a goto.\n\n final boolean debug = false;\n\n obj = gs.obj;\n\n // Subtract the number of bytes that were removed from channel buffer\n // during last call.\n\n buf = gs.buf;\n if (buf != null) {\n buf.nextRemoved += gs.rawRead.i;\n if (buf.nextRemoved >= buf.nextAdded) {\n buf = buf.next;\n }\n }\n gs.totalChars += gs.charsWrote.i;\n\n read: while (true) {\n if (goto_read || (buf == null) || (buf.nextAdded == buf.BUFFER_PADDING)) {\n // All channel buffers were exhausted and the caller still hasn't\n // seen EOL. Need to read more bytes from the channel device.\n // Side effect is to allocate another channel buffer.\n\n //read:\n if (blocked) {\n if (!blocking) {\n gs.charsWrote.i = 0;\n gs.rawRead.i = 0;\n return -1;\n }\n blocked = false;\n }\n if (getInput() != 0) {\n gs.charsWrote.i = 0;\n gs.rawRead.i = 0;\n return -1;\n }\n buf = inQueueTail;\n gs.buf = buf;\n }\n\n // Convert some of the bytes from the channel buffer to characters.\n // Space in obj's string rep is used to hold the characters.\n\n rawStart = buf.nextRemoved;\n raw = buf.buf;\n rawEnd = buf.nextAdded;\n rawLen = rawEnd - rawStart;\n\n toRead = ENCODING_LINESIZE;\n if (toRead > rawLen) {\n toRead = rawLen;\n }\n dst = new char[toRead];\n result = externalToUnicode(raw, rawStart, rawLen,\n dst, 0, toRead,\n gs.rawRead, /*gs.bytesWrote*/ null, gs.charsWrote,\n gs.charToBytes);\n TclString.append(gs.obj, dst, 0, gs.charsWrote.i);\n\n if (debug) {\n System.out.println(\"filterBytes chars\");\n\n String srep = gs.obj.toString();\n int len = srep.length();\n\n for (int i=0; i < len; i++) {\n char c = srep.charAt(i);\n String prep;\n if (c == '\\r') {\n prep = \"\\\\r\";\n } else if (c == '\\n') {\n prep = \"\\\\n\";\n } else {\n prep = \"\" + c;\n }\n\n System.out.println(\"filtered[\" + i + \"] = '\" +\n prep +\n \"' (int) \" + ((int) srep.charAt(i)) +\n \" 0x\" + Integer.toHexString((int) srep.charAt(i)));\n }\n }\n\n // Make sure that if we go through 'gets', that we reset the\n // TCL_ENCODING_START flag still. [Bug #523988]\n\n encodingStart = false;\n\n if (result == TCL_CONVERT_MULTIBYTE) {\n // The last few bytes in this channel buffer were the start of a\n // multibyte sequence. If this buffer was full, then move them to\n // the next buffer so the bytes will be contiguous. \n\n if (debug) {\n System.out.println(\"TCL_CONVERT_MULTIBYTE decode result found\");\n }\n\n ChannelBuffer next;\n int extra;\n\n next = buf.next;\n if (buf.nextAdded < buf.bufLength) {\n if (gs.rawRead.i > 0) {\n // Some raw bytes were converted to UTF-8. Fall through,\n // returning those UTF-8 characters because a EOL might be\n // present in them.\n } else if (eofCond) {\n // There was a partial character followed by EOF on the\n // device. Fall through, returning that nothing was found.\n\n buf.nextRemoved = buf.nextAdded;\n } else {\n // There are no more cached raw bytes left. See if we can\n // get some more.\n\n goto_read = true;\n continue read; //goto read;\n }\n } else {\n if (next == null) {\n next = new ChannelBuffer(bufSize);\n buf.next = next;\n inQueueTail = next;\n }\n extra = rawLen - gs.rawRead.i;\n System.arraycopy(raw, rawStart + gs.rawRead.i,\n next.buf, buf.BUFFER_PADDING - extra, extra);\n next.nextRemoved -= extra;\n buf.nextAdded -= extra;\n\n if (debug) {\n System.out.println(\"copied \" + extra + \" bytes to \" +\n \"next ChannelBuffer\");\n }\n }\n }\n\n break read; // End loop in the normal case\n } // End read labeled while loop\n\n gs.buf = buf;\n return 0;\n }","void onMessageRead(byte[] data);","boolean consume (SocketChannel chan) {\n try {\n consumeBuffer.clear ();\n int c = chan.read (consumeBuffer);\n if (c == -1)\n return true;\n } catch (IOException e) {\n return true;\n }\n return false;\n }","protected final void decode(ChannelHandlerContext ctx, ByteBuf in, List<Object> out)\r\n/* 21: */ throws Exception\r\n/* 22: */ {\r\n/* 23:58 */ Object decoded = decode(ctx, in);\r\n/* 24:59 */ if (decoded != null) {\r\n/* 25:60 */ out.add(decoded);\r\n/* 26: */ }\r\n/* 27: */ }","@Override\n protected synchronized void addReader(ChannelHandlerReadSubscription subscription) {\n super.addReader(subscription);\n }","@Override\n\tprotected void encode(ChannelHandlerContext ctx, RPCResponse msg, ByteBuf out) throws Exception {\n\t\tbyte[] data = SerializationUtils.serialize(msg);\n\t\tout.writeInt(data.length);\n\t\tout.writeBytes( data );\n\t}","java.lang.String getChannel();"],"string":"[\n \"@Override\\n protected void channelRead0(ChannelHandlerContext ctx, ByteBuf msg) {\\n System.out.println(\\\"Client received: \\\" + ByteBufUtil.hexDump(msg.readBytes(msg.readableBytes())));\\n }\",\n \"@Override\\n public void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\\n\\n log.info( ctx.channel().id().asLongText()+\\\"-> channelRead , msg={}\\\" , msg.getClass().getName());\\n\\n ctx.fireChannelRead( msg ) ;\\n }\",\n \"@Override\\n\\tpublic void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\\n\\t\\tLog.i(\\\"channelRead\\\", ((String) msg));\\n\\t\\tsuper.channelRead(ctx, msg);\\n\\t}\",\n \"@Override\\n\\tpublic void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\\n\\t\\tString receiveData = (String)msg;\\n\\t\\tSystem.out.println(receiveData);\\n\\t}\",\n \"@Override\\n\\tpublic void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\\n\\t\\tctx.write(msg);\\n\\t}\",\n \"@Override\\r\\n\\tpublic void channelRead(ChannelHandlerContext ctx, Object msg)\\r\\n\\t\\t\\tthrows Exception {\\r\\n\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tSystem.out.println(\\\"server channelRead: \\\" + msg);\\r\\n\\t\\t} finally {\\r\\n\\t\\t\\t// ByteBuf是一个引用计数对象，这个对象必须显示地调用release()方法来释放\\r\\n\\t\\t\\t// or ((ByteBuf)msg).release();\\r\\n\\t\\t\\tReferenceCountUtil.release(msg);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// ctx.writeAndFlush(Unpooled.copiedBuffer(\\\"hello,client\\\",\\r\\n\\t\\t// CharsetUtil.UTF_8));\\r\\n\\t\\tString sendMsg=\\\"hi,client...\\\";\\r\\n\\t\\tctx.writeAndFlush(new MyMessage(new MyHead(\\r\\n\\t\\t\\t\\tsendMsg.getBytes(\\\"UTF-8\\\").length, 1), sendMsg));\\r\\n\\t}\",\n \"@Override\\n public void channelRead(final ChannelHandlerContext ctx, final Object msg) throws Exception {\\n\\n ByteBuf nettyBuffer = ((ByteBuf) msg);\\n if (SYSTEM_OUT_DEBUG) {\\n debugInput(nettyBuffer);\\n }\\n readFrame(nettyBuffer);\\n\\n if (SYSTEM_OUT_DEBUG) {\\n System.out.println(\\\"performative:\\\" + currentPerformative);\\n }\\n\\n switch (currentPerformative.getPerformativeType()) {\\n case OPEN:\\n handleOpen((Open) currentPerformative);\\n break;\\n case CLOSE:\\n handleClose((Close) currentPerformative);\\n break;\\n case BEGIN:\\n handleBegin((Begin) currentPerformative);\\n break;\\n case END:\\n handleEnd((End) currentPerformative);\\n break;\\n case ATTACH:\\n handleAttach((Attach) currentPerformative);\\n break;\\n default:\\n System.out.println(\\\"Normative \\\" + currentPerformative + \\\" not implemented yet\\\");\\n ctx.channel().writeAndFlush(nettyBuffer);\\n }\\n\\n //parser.parse(new ProtonTransportHandlerContext(\\\"test\\\", null, null), buffer);\\n\\n //ctx.fireChannelRead(msg);\\n\\n //ctx.write(nettyBuffer.readerIndex(0).retain());\\n //ctx.flush();\\n }\",\n \"@Override\\n public void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\\n String body = (String) msg;\\n System.out.println(body);\\n System.out.println(\\\"第\\\"+ ++count + \\\"次收到服务器回应\\\");\\n }\",\n \"@Override\\n\\tprotected void channelRead0(ChannelHandlerContext ctx, WsClientMessage msg) throws Exception {\\n\\t}\",\n \"@Override\\n public void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\\n String body = msg.toString();\\n System.out.println(\\\"返回值：\\\" + body + \\\", count = \\\" + counter.getAndIncrement());\\n }\",\n \"@Override\\n public void channelReadComplete(ChannelHandlerContext ctx) throws Exception {\\n }\",\n \"@Override\\n protected void channelRead0(ChannelHandlerContext ctx, String msg) throws Exception { // (4)\\n Channel incoming = ctx.channel();\\n\\n String remoteAddress = incoming.remoteAddress().toString();\\n logger.info(\\\"[BudsRpc ][Registry-server] receive data=[{}] from {}\\\", msg, remoteAddress);\\n\\n String[] cmd = msg.split(\\\"\\\\r\\\\n\\\");\\n ActionEnum action = ActionEnum.getAction(cmd[0]);\\n String service = cmd[1];\\n String address = cmd[2];\\n String port = cmd[3];\\n\\n switch (action) {\\n case ACTION_REGISTRY:\\n Set<Channel> channelSet = registryMap.get(service);\\n if (channelSet == null) {\\n channelSet = new HashSet<>();\\n registryMap.put(service, channelSet);\\n }\\n channelSet.add(incoming);\\n\\n Set<String> serviceSet = providerMap.get(remoteAddress);\\n if (serviceSet == null) {\\n serviceSet = new HashSet<>();\\n providerMap.put(remoteAddress, serviceSet);\\n }\\n serviceSet.add(service);\\n\\n // 通知订阅者\\n notify(service);\\n\\n case ACTION_SUBSCRIBE:\\n ChannelGroup channelGroup = subscribMap.get(service);\\n if (channelGroup == null) {\\n channelGroup = new DefaultChannelGroup(GlobalEventExecutor.INSTANCE);\\n subscribMap.put(service, channelGroup);\\n }\\n channelGroup.add(incoming);\\n break;\\n\\n }\\n\\n for (Channel channel : channels) {\\n if (channel != incoming) {\\n channel.writeAndFlush(\\\"[\\\" + incoming.remoteAddress() + \\\"]\\\" + msg + \\\"\\\\n\\\");\\n } else {\\n channel.writeAndFlush(\\\"[you]\\\" + msg + \\\"\\\\n\\\");\\n }\\n }\\n }\",\n \"@Override\\n\\tpublic void read(ChannelHandlerContext ctx) throws Exception {\\n\\t\\tLog.i(\\\"MySocketHandler\\\", \\\"read\\\");\\n\\t\\tsuper.read(ctx);\\n\\t}\",\n \"@Override\\n\\tpublic void channelReadComplete(ChannelHandlerContext ctx) throws Exception {\\n\\t}\",\n \"public void channelReadComplete(ChannelHandlerContext ctx) throws Exception {\\n/* 313 */ processPendingReadCompleteQueue();\\n/* 314 */ ctx.fireChannelReadComplete();\\n/* */ }\",\n \"@Override\\n public void channelRead0(ChannelHandlerContext ctx, String msg) throws Exception {\\n System.err.println(\\\"来自client的信息：\\\" + msg);\\n Gson gson = new Gson();\\n UserInfo userInfo = gson.fromJson(msg, UserInfo.class);\\n\\n msg = \\\"用户名:\\\"+ userInfo.getUsername()+ \\\" 密码:\\\" + userInfo.getPassword() + \\\"----\\\" + ctx.channel().remoteAddress()+ \\\"----\\\" + msg;\\n Log.d(\\\"tag\\\",msg);\\n System.out.println(ctx.channel().id());\\n ctx.writeAndFlush(\\\"1\\\\n\\\");\\n //ctx.writeAndFlush(\\\"[\\\" + ctx.channel().remoteAddress() + \\\"] \\\" + msg + '\\\\n');\\n\\n }\",\n \"@Override\\n\\tpublic void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\\n\\t\\tByteBuf buf = (ByteBuf) msg;\\n\\t\\tSystem.out.println(\\\"有新的数据,长度:\\\" + buf.readableBytes());\\n\\n\\t\\tif (msgbuf.getDatalen() > 0) {\\n\\t\\t\\tint ablelen = buf.readableBytes();\\n\\n\\t\\t\\tint leftlen = msgbuf.getDatalen() - msgbuf.getDatarev();\\n\\t\\t\\tSystem.out.println(\\\"接着上次预读取:\\\" + leftlen + \\\"长度数据\\\");\\n\\n\\t\\t\\tif (leftlen > ablelen) {\\n\\n\\t\\t\\t\\tSystem.out.println(\\\"数据长度小于所要的长度,全部写入\\\");\\n\\n\\t\\t\\t\\tint oldlimit=msgbuf.getDatabuf().limit();\\n\\t\\t\\t\\tmsgbuf.getDatabuf().limit(msgbuf.getDatarev()+ablelen);\\n\\t\\t\\t\\tbuf.getBytes(0, msgbuf.getDatabuf());\\n\\t\\t\\t\\tmsgbuf.setDatarev(msgbuf.getDatarev() + ablelen);\\n\\t\\t\\t\\tmsgbuf.getDatabuf().limit(oldlimit);\\n\\t\\t\\t} else {\\n\\n\\t\\t\\t\\tbuf.getBytes(0, msgbuf.getDatabuf());\\n\\n\\t\\t\\t\\tSystem.out.println(\\\"预取长度小于缓冲长度,获取全部包,分发消息\\\");\\n\\n\\t\\t\\t\\t// 读完了数据,处理了\\n\\t\\t\\t\\treadFinished(ctx, msgbuf.getDatabuf());\\n\\t\\t\\t\\tmsgbuf.reSet();\\n\\n\\t\\t\\t\\tif (leftlen < ablelen) {\\n\\n\\t\\t\\t\\t\\tSystem.out.println(String.format(\\\"leftlen长%d,缓冲长度%d,还有数据,接着读下一个包\\\", leftlen, ablelen));\\n\\t\\t\\t\\t\\tprepareRead(ctx, buf, leftlen);\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tSystem.out.println(String.format(\\\"leftlen长%d,缓冲长度%d,没有数据了\\\", leftlen, ablelen));\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\t\\t} else {\\n\\t\\t\\tSystem.out.println(\\\"msgbuf没有指定长度,按新包处理\\\");\\n\\t\\t\\tprepareRead(ctx, buf, 0);\\n\\t\\t}\\n\\t\\t\\n\\t\\tbuf.clear();\\n\\t}\",\n \"@Override\\n\\tprotected void channelRead0(ChannelHandlerContext ctx, TextWebSocketFrame frame) throws Exception\\n\\t{\\n\\t\\tci.invoke(frame.text());\\n\\t}\",\n \"@Override\\n\\tpublic void messageReceived(ChannelHandlerContext ctx, MessageEvent e) {\\n\\t\\ttransferredBytes.addAndGet(((ChannelBuffer) e.getMessage())\\n\\t\\t\\t\\t.readableBytes());\\n\\t\\tlogger.info(\\\"收到消息: \\\"+e.getMessage());\\n\\t\\te.getChannel().write(e.getMessage());\\n\\t}\",\n \"@Override\\n public void channelActive(ChannelHandlerContext ctx) {\\n ctx.writeAndFlush(Unpooled.copiedBuffer(\\\"Netty rocks!\\\", CharsetUtil.UTF_8));\\n }\",\n \"@Override\\n\\tpublic void channelReadComplete(ChannelHandlerContext ctx) throws Exception {\\n\\t\\tsuper.channelReadComplete(ctx);\\n\\t}\",\n \"@Override\\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\\n super.channelActive(ctx);\\n \\n }\",\n \"@Override\\n protected void channelRead0(ChannelHandlerContext ctx, Message msg)\\n {\\n mDispatcher.dispatch(mPeer, msg);\\n }\",\n \"@Override\\n\\tprotected void channelRead0(ChannelHandlerContext ctx, RpcRequest msg) throws Exception {\\n\\t\\tRpcResponse response = new RpcResponse();\\n\\t\\tresponse.setRequestId(msg.getRequestId());\\n\\t\\ttry {\\n\\t\\t\\tObject result = handle(msg);\\n\\t\\t\\tresponse.setResult(result);\\n\\t\\t} catch (Throwable t) {\\n\\t\\t\\tLOGGER.debug(\\\"handle ocurred error ==> {}\\\", t);\\n\\t\\t\\tresponse.setError(t);\\n\\t\\t}\\n\\t\\tctx.writeAndFlush(response).addListener(ChannelFutureListener.CLOSE);//写完然后关闭channel\\n\\t}\",\n \"@Override\\n\\tpublic void channelRead(ChannelHandlerContext ctx, Object msg)\\n\\t\\t\\tthrows Exception {\\n\\t\\thandleRequestWithsingleThread(ctx, msg);\\n\\t}\",\n \"@Override\\n\\tpublic void channelReadComplete(ChannelHandlerContext ctx) throws Exception {\\n\\t\\tLog.i(\\\"MySocketHandler\\\", \\\"channelReadComplete\\\");\\n\\t\\tsuper.channelReadComplete(ctx);\\n\\t}\",\n \"@Override\\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\\n ctx.write(buf.duplicate()).addListener(ChannelFutureListener.CLOSE);\\n }\",\n \"@Override\\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\\n }\",\n \"@Override\\r\\n\\tprotected void channelRead0(ChannelHandlerContext ctx, Object msg) throws Exception {\\r\\n//\\t\\tnettyChache = Redis.use(\\\"rediscache\\\");\\r\\n\\t\\tJSONObject resultJson = JSON.parseObject(msg.toString());\\r\\n\\t\\tNyMsgType type = NyMsgType.valueOf(resultJson.getString(\\\"type\\\"));\\r\\n\\t\\tString clientId = resultJson.getString(\\\"clientid\\\");\\r\\n\\t\\tString data = resultJson.getString(\\\"data\\\");\\r\\n\\t\\tNyMessage message = new NyMessage();\\r\\n\\t\\tmessage.setClientId(clientId);\\r\\n\\t\\t// 先判断有没有登录\\r\\n\\t\\tif (NyMsgType.LOGIN.equals(type)) {\\r\\n\\t\\t\\t// 首次登录，添加到当前的map保存\\r\\n\\t\\t\\tSystem.out.println(\\\"进来登录\\\\t将当前的客户添加到队列\\\\t\\\" + clientId + \\\"(Channel) ctx.channel():\\\" + (Channel) ctx.channel());\\r\\n\\t\\t\\tNyCurrentChannelMap.add(clientId, (Channel) ctx.channel());\\r\\n\\t\\t\\tmessage.setType(NyMsgType.SEND);\\r\\n\\t\\t\\tmessage.setData(\\\"{\\\\\\\"message\\\\\\\":\\\\\\\"success\\\\\\\"}\\\");\\r\\n\\t\\t\\tctx.channel().writeAndFlush(message.toString());\\r\\n\\t\\t} else {\\r\\n\\t\\t\\t// 不是登录，判断用户是否存在当前的map\\r\\n\\t\\t\\tif (NyCurrentChannelMap.get(clientId) == null) {\\r\\n\\t\\t\\t\\t// 发送重新登录信息\\r\\n\\t\\t\\t\\tmessage = new NyMessage(NyMsgType.LOGIN);\\r\\n\\t\\t\\t\\tmessage.setClientId(clientId);\\r\\n\\t\\t\\t\\tctx.channel().writeAndFlush(message.toString());\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tswitch (type) {\\r\\n\\t\\t\\t\\tcase PING:\\r\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"==========心跳处理==========\\\");\\r\\n\\t\\t\\t\\t\\t// message.setType(NyMsgType.PING);\\r\\n\\t\\t\\t\\t\\t// ctx.channel().writeAndFlush(message.toString());\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\tcase SEND:\\r\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"发送消息,给指定人clientId发。。。。\\\");\\r\\n\\t\\t\\t\\t\\t// NySendCommand command=new NySendCommand(clientId,\\r\\n\\t\\t\\t\\t\\t// \\\"你瞅啥，瞅你咋地！\\\");\\r\\n\\t\\t\\t\\t\\t// command.send();\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\tcase RESPONCE:\\r\\n\\t\\t\\t\\t\\t// 返回的消息体\\r\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"-----响应---\\\" + msg);\\r\\n\\t\\t\\t\\t\\tString messageid = resultJson.getString(\\\"messageid\\\");\\r\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"messageid=\\\" + messageid);\\r\\n\\t\\t\\t\\t\\t// 保存\\r\\n\\t\\t\\t\\t\\tString txtB = \\\"\\\";\\r\\n\\t\\t\\t\\t\\tJSONArray jsonArray = resultJson.getJSONArray(\\\"data\\\");\\r\\n\\t\\t\\t\\t\\tfor (int i = 0; i < jsonArray.size(); i++) {\\r\\n\\t\\t\\t\\t\\t\\tJSONObject temp = jsonArray.getJSONObject(i);\\r\\n\\t\\t\\t\\t\\t\\ttxtB = temp.getString(\\\"txtByte\\\");\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\r\\n//\\t\\t\\t\\t\\tGenerateTxt(messageid, txtB);\\r\\n\\t\\t\\t\\t\\tmessage.setData(\\\"{\\\\\\\"message\\\\\\\":\\\\\\\"success\\\\\\\"}\\\");\\r\\n\\t\\t\\t\\t\\tmessage.setType(NyMsgType.NO_TARGET);\\r\\n\\t\\t\\t\\t\\tctx.channel().writeAndFlush(message.toString());\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\tdefault:\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"@Override\\n public void channelRead0(ChannelHandlerContext ctx, String request) throws Exception {\\n final JsonObject json = (JsonObject) parser.parse(request);\\n if(json.has(\\\"operation\\\") && ((json.get(\\\"operation\\\").getAsString()).equals(\\\"data\\\"))) {\\n final DataToProcess obj = GSON.fromJson(json, DataToProcess.class);\\n QueuerManager.getInstance().pushPacket(ctx.channel().id().asShortText(), obj);\\n// System.out.println(\\\"REC Data Received \\\" + ctx.channel().id().asShortText());\\n }\\n else {\\n// System.out.println(\\\"REC hello packet\\\");\\n }\\n }\",\n \"@Override\\n\\tprotected void channelRead0(ChannelHandlerContext ctx, HttpObject msg) throws Exception {\\n\\t\\t\\n\\t\\t// This is all debugging...\\n\\t\\tif (msg instanceof HttpResponse) {\\n\\t\\t\\tHttpResponse response = (HttpResponse) msg;\\n\\n\\t\\t\\tlogger.debug(\\\"STATUS: \\\" + response.status());\\n\\t\\t\\tlogger.debug(\\\"VERSION: \\\" + response.protocolVersion());\\n\\n\\t\\t\\tif (!response.headers().isEmpty()) {\\n\\t\\t\\t\\tfor (CharSequence name : response.headers().names()) {\\n\\t\\t\\t\\t\\tfor (CharSequence value : response.headers().getAll(name)) {\\n\\t\\t\\t\\t\\t\\tlogger.debug(\\\"HEADER: \\\" + name + \\\" = \\\" + value);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tif (HttpUtil.isTransferEncodingChunked(response)) {\\n\\t\\t\\t\\tlogger.debug(\\\"CHUNKED CONTENT {\\\");\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tlogger.debug(\\\"CONTENT {\\\");\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t// This is where the work happens. This handler gets called MULTIPLE times.\\n\\t\\tif (msg instanceof HttpContent) {\\n\\t\\t\\t// The data from the server\\n\\t\\t\\tHttpContent content = (HttpContent) msg;\\n\\n\\t\\t\\t// Gather all the chunks.\\n\\t\\t\\tif (null == chunks) {\\n\\t\\t\\t\\tlogger.debug(\\\"Chunks initialized.\\\");\\n\\t\\t\\t\\tchunks = copiedBuffer(content.content());\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tlogger.debug(\\\"Adding chunks\\\");\\n\\t\\t\\t\\tchunks = copiedBuffer(chunks, content.content());\\n\\t\\t\\t}\\n\\n\\t\\t\\tlogger.debug(content.content().toString(CharsetUtil.UTF_8));\\n\\n\\t\\t\\tif (content instanceof LastHttpContent) {\\n\\t\\t\\t\\tlogger.debug(\\\"} END OF CONTENT\\\");\\n\\t\\t\\t\\tlogger.debug(\\\"Subscriber in handler: {}\\\", this.subscriber);\\n\\t\\t\\t\\tlogger.debug(\\\"Chunks: {}\\\", this.chunks);\\n\\t\\t\\t\\tsubscriber.onNext(chunks.toString(CharsetUtil.UTF_8));\\n\\t\\t\\t\\tctx.close();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"@Override\\n\\tpublic void channelActive(ChannelHandlerContext ctx) throws Exception {\\n\\t\\tctx.writeAndFlush(firstMessage);\\n\\t}\",\n \"@Override\\n public void messageReceived(ChannelHandlerContext ctx, MessageEvent e) {\\n Channel ch = ctx.getChannel();\\n //Player player = (Player) ch.getAttachment();\\n Client client = (Client) ch.getAttachment();\\n \\n if (ch.isConnected()) { // && !client.getPlayer().destroyed() \\n RSCPacket packet = (RSCPacket) e.getMessage();\\n //player.addPacket(p); // Used to log packets for macro detection\\n //engine.addPacket(p); // This one actually results in the packet being processed!\\n client.pushToMessageQueue(packet);\\n }\\n }\",\n \"@Override\\n public void process(ChannelHandlerContext ctx, Node node, Message message) {\\n if (logger.isTraceEnabled()) {\\n logger.trace(\\\" receive heartbeat, host: {}, seq: {}\\\", node, message.getSeq());\\n }\\n }\",\n \"@Override\\n public void channelRead0(ChannelHandlerContext ctx, HttpObject msg) {\\n if (msg instanceof HttpResponse) {\\n //clear the buffer.\\n _responseBodyBuf.clear();\\n //\\n HttpResponse response = (HttpResponse) msg;\\n //get HTTP Response code.\\n this._hcr._responseStatus = response.getStatus();\\n //\\n //print header.\\n Set<String> headers = response.headers().names();\\n for (Iterator<String> keyIter = headers.iterator(); keyIter.hasNext();) {\\n String keyName = keyIter.next();\\n //System.out.println(keyName + \\\":\\\" + response.headers().get(keyName));\\n this._hcr._responseHeaderMap.put(keyName, response.headers().get(keyName));\\n }\\n }\\n //content or lastContent\\n if (msg instanceof HttpContent) {\\n HttpContent content = (HttpContent) msg;\\n _responseBodyBuf.writeBytes(content.content());\\n //if is last content fire done.\\n if (content instanceof LastHttpContent) {\\n try {\\n fireDone(_responseBodyBuf.toString(this._hcr._responseBodyCharset));\\n } finally {\\n ctx.close();\\n releaseResource();\\n }\\n }\\n }\\n }\",\n \"@Override\\n public void channelRead(ChannelHandlerContext ctx, Object msg)\\n {\\n throw new IllegalStateException(\\\"InboundMessageHandler doesn't expect channelRead() to be invoked\\\");\\n }\",\n \"@Override\\n public void channelRead(ChannelHandlerContext ctx, Object msg) {\\n try {\\n // The incoming message should have been transformed to a CorfuMsg earlier in the pipeline.\\n CorfuMsg m = ((CorfuMsg) msg);\\n // We get the handler for this message from the map\\n AbstractServer handler = handlerMap.get(m.getMsgType());\\n if (handler == null) {\\n // The message was unregistered, we are dropping it.\\n log.warn(\\\"Received unregistered message {}, dropping\\\", m);\\n } else {\\n if (validateEpoch(m, ctx)) {\\n // Route the message to the handler.\\n log.trace(\\\"Message routed to {}: {}\\\", handler.getClass().getSimpleName(), msg);\\n handlerWorkers.submit(() -> handler.handleMessage(m, ctx, this));\\n }\\n }\\n } catch (Exception e) {\\n log.error(\\\"Exception during read!\\\", e);\\n }\\n }\",\n \"void onSomething(org.jboss.netty.buffer.ChannelBuffer buffer);\",\n \"@Override\\n protected void initChannel(SocketChannel ch) throws Exception {\\n //4. Add ChannelHandler to intercept events and allow to react on them\\n ch.pipeline().addLast(new ChannelHandlerAdapter() {\\n @Override\\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\\n //5. Write message to client and add ChannelFutureListener to close connection once message written\\n ctx.write(buf.duplicate()).addListener(ChannelFutureListener.CLOSE);\\n }\\n });\\n }\",\n \"@Override\\n protected void decode(ChannelHandlerContext ctx, Message msg, List<Object> out) throws Exception \\n {\\n GameAppContext context = ctx.channel().attr(GameAppContextKey.KEY).get();\\n \\n // and let the context decide what to do with the message\\n context.handleMessage(msg);\\n \\n // we dont break the cycle here - maybe other handlers sit behind this one\\n out.add(msg);\\n }\",\n \"protected Object decode(ChannelHandlerContext ctx, ByteBuf in)\\r\\n/* 30: */ throws Exception\\r\\n/* 31: */ {\\r\\n/* 32:74 */ if (in.readableBytes() < this.frameLength) {\\r\\n/* 33:75 */ return null;\\r\\n/* 34: */ }\\r\\n/* 35:77 */ return in.readRetainedSlice(this.frameLength);\\r\\n/* 36: */ }\",\n \"@Override\\n protected void channelRead0(ChannelHandlerContext ctx, Map<String, Object> msg) throws Exception {\\n Object id = msg.get(IAdapter.TEMPLATE_ID);\\n Validate.notNull(id);\\n if ((int)id == SyncMessageDecoder.TEMPLATE_ID){\\n //TODO do some business ,For example printout\\n Object o = msg.get(SyncInfo.class.getSimpleName());\\n Validate.notNull(o);\\n if (o instanceof SyncInfo){\\n System.out.println(((SyncInfo)o).toString());\\n }\\n }\\n }\",\n \"@Override\\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\\n System.out.println(\\\"【channelActive】。。。\\\");\\n }\",\n \"@Override\\n public void onRecivMessage(Channel channel, NettyMessage message,\\n String tag, JsonParser parser)\\n {\\n if (!messageFilter(message))\\n {\\n Log.e(\\\"\\\", \\\"SDK 已拦截掉指令 \\\" + message.getHeader());\\n return;\\n }\\n try {\\n dosomething(channel, message, parser);\\n } catch (UnsupportedEncodingException e) {\\n e.printStackTrace();\\n }\\n }\",\n \"@Override\\n public void channelRead(ChannelHandlerContext ctx, Object msg) {\\n if (ctx.channel().attr(AUTH).get() != AuthStep.STEP_AUTHED) {\\n return;\\n }\\n\\n AbstractRealmClientPacket request = (AbstractRealmClientPacket) msg;\\n\\n AbstractRealmServerPacket response = null;\\n\\n logger.info(msg.toString());\\n\\n switch (request.getOpcode()) {\\n case CMSG_PING:\\n response = new SMSG_PING(Opcodes.SMSG_PING);\\n\\n int ping = ((CMSG_PING) request).getPing();\\n\\n ((SMSG_PING) response).setPing(ping);\\n\\n break;\\n case CMSG_CHAR_ENUM:\\n response = new SMSG_CHAR_ENUM(Opcodes.SMSG_CHAR_ENUM);\\n\\n // Adding character list.\\n ((SMSG_CHAR_ENUM) response).addCharacters(characterService.getCharactersForAccount(ctx.channel().attr(ACCOUNT).get()));\\n\\n break;\\n case CMSG_CHAR_CREATE:\\n response = new SMSG_CHAR_CREATE(Opcodes.SMSG_CHAR_CREATE);\\n\\n ((SMSG_CHAR_CREATE) response).setResult(\\n characterService.createChar(\\n ((CMSG_CHAR_CREATE) request).getName(),\\n ((CMSG_CHAR_CREATE) request).getRace(),\\n ((CMSG_CHAR_CREATE) request).getCharClass(),\\n ((CMSG_CHAR_CREATE) request).getGender(),\\n ((CMSG_CHAR_CREATE) request).getSkin(),\\n ((CMSG_CHAR_CREATE) request).getFace(),\\n ((CMSG_CHAR_CREATE) request).getHairStyle(),\\n ((CMSG_CHAR_CREATE) request).getHairColor(),\\n ((CMSG_CHAR_CREATE) request).getFacialHair(),\\n ctx.pipeline().get(RealmAuthHandler.class).getAccount()\\n )\\n );\\n\\n break;\\n case CMSG_CHAR_DELETE:\\n response = new SMSG_CHAR_DELETE(Opcodes.SMSG_CHAR_DELETE);\\n\\n ((SMSG_CHAR_DELETE) response).setResult(\\n characterService.deleteChar(\\n ((CMSG_CHAR_DELETE) request).getId(),\\n ctx.pipeline().get(RealmAuthHandler.class).getAccount(),\\n false\\n )\\n );\\n\\n break;\\n\\n case CMSG_PLAYER_LOGIN:\\n if (characterService.loginChar(((CMSG_PLAYER_LOGIN) request).getId(), \\n ctx.pipeline().get(RealmAuthHandler.class).getAccount())) {\\n SMSG_LOGIN_VERIFY_WORLD packet = new SMSG_LOGIN_VERIFY_WORLD();\\n \\n /**packet.setMap(characterService.getLoggedCharacter().getFkDbcMap());\\n packet.setPosX(characterService.getLoggedCharacter().getPositionX());\\n packet.setPosY(characterService.getLoggedCharacter().getPositionY());\\n packet.setPosZ(characterService.getLoggedCharacter().getPositionZ());\\n packet.setOrientation(characterService.getLoggedCharacter().getOrientation());*/\\n \\n ctx.write(packet);\\n \\n SMSG_ACCOUNT_DATA_TIMES data = new SMSG_ACCOUNT_DATA_TIMES();\\n \\n ctx.write(data);\\n \\n \\n } else {\\n // Kick unknown client. \\n ctx.close();\\n }\\n\\n break;\\n\\n default:\\n logger.error(\\\"Packet received, opcode not handled: \\\" + request.getOpcode());\\n break;\\n }\\n\\n if(response != null){ \\n ctx.writeAndFlush(response);\\n } else {\\n // Let pass this to other handlers.\\n ctx.fireChannelRead(msg);\\n }\\n }\",\n \"@Override\\n public int getChannel()\\n {\\n return channel;\\n }\",\n \"@Override\\n public void initChannel(SocketChannel ch) throws Exception {\\n ch.pipeline().addLast(new OutMessageHandler());\\n\\n }\",\n \"@Override\\n\\t\\t\\t\\t\\t\\tpublic void channelActive(ChannelHandlerContext ctx) {\\n\\t\\t\\t\\t\\t\\t\\tSystem.out.println(RestResult.success(\\\"channel active!\\\"));\\n\\t\\t\\t\\t\\t\\t}\",\n \"@Override\\n public void channelRead(final ChannelHandlerContext ctx, final Object msg) throws Exception {\\n MessageProto.Message message = (MessageProto.Message) msg;\\n if (message.getLength() != 2 && message.getAction() == ActionType.HEARTBEAT_REQ) {\\n logger.debug(\\\"Receive client heart beat message\\\");\\n ctx.writeAndFlush(buildHeartBeat());\\n logger.debug(\\\"Send heart beat message to client\\\");\\n } else {\\n ctx.fireChannelRead(msg);\\n }\\n }\",\n \"@Override\\n\\tpublic void channelActive(ChannelHandlerContext ctx) throws Exception {\\n\\t\\tLog.i(\\\"MySocketHandler\\\", \\\"channelActive\\\");\\n\\t\\tsuper.channelActive(ctx);\\n\\t}\",\n \"public void printRead(int channel);\",\n \"@Override\\n protected void initChannel(SocketChannel ch) throws Exception {\\n NettyCodecAdapter adapter = new NettyCodecAdapter();\\n\\n ch.pipeline()\\n .addLast(\\\"logging\\\", new LoggingHandler(LogLevel.INFO))//for debug\\n .addLast(\\\"decoder\\\", adapter.getDecoder())\\n// .addLast(\\\"http-aggregator\\\", new HttpObjectAggregator(65536))\\n .addLast(\\\"encoder\\\", adapter.getEncoder())\\n// .addLast(\\\"http-chunked\\\", new ChunkedWriteHandler())\\n// .addLast(\\\"server-idle-handler\\\", new IdleStateHandler(0, 0, 60 * 1000, MILLISECONDS))\\n .addLast(\\\"handler\\\", nettyServerHandler);\\n }\",\n \"@Override\\n public void channelReadComplete(final ChannelHandlerContext ctx) {\\n ctx.flush();\\n }\",\n \"@Override\\n public void channelRead(final ChannelHandlerContext ctx,final Object msg) {\\n deliveryService.delivery(ctx,msg);\\n }\",\n \"public ChannelFuture writeOneInbound(Object msg, ChannelPromise promise) {\\n/* 349 */ if (checkOpen(true)) {\\n/* 350 */ pipeline().fireChannelRead(msg);\\n/* */ }\\n/* 352 */ return checkException(promise);\\n/* */ }\",\n \"@Override\\n protected void sink(Message message) {\\n }\",\n \"ByteBuf getMessageBody();\",\n \"@Override\\n\\tpublic void receive(String msg) {\\n\\t\\t\\n\\t}\",\n \"public void write(ChannelHandlerContext ctx, Object msg, ChannelPromise promise)\\r\\n/* 33: */ throws Exception\\r\\n/* 34: */ {\\r\\n/* 35: 81 */ CodecOutputList out = null;\\r\\n/* 36: */ try\\r\\n/* 37: */ {\\r\\n/* 38: 83 */ if (acceptOutboundMessage(msg))\\r\\n/* 39: */ {\\r\\n/* 40: 84 */ out = CodecOutputList.newInstance();\\r\\n/* 41: */ \\r\\n/* 42: 86 */ I cast = msg;\\r\\n/* 43: */ try\\r\\n/* 44: */ {\\r\\n/* 45: 88 */ encode(ctx, cast, out);\\r\\n/* 46: */ }\\r\\n/* 47: */ finally\\r\\n/* 48: */ {\\r\\n/* 49: 90 */ ReferenceCountUtil.release(cast);\\r\\n/* 50: */ }\\r\\n/* 51: 93 */ if (out.isEmpty())\\r\\n/* 52: */ {\\r\\n/* 53: 94 */ out.recycle();\\r\\n/* 54: 95 */ out = null;\\r\\n/* 55: */ \\r\\n/* 56: */ \\r\\n/* 57: 98 */ throw new EncoderException(StringUtil.simpleClassName(this) + \\\" must produce at least one message.\\\");\\r\\n/* 58: */ }\\r\\n/* 59: */ }\\r\\n/* 60: */ else\\r\\n/* 61: */ {\\r\\n/* 62:101 */ ctx.write(msg, promise);\\r\\n/* 63: */ }\\r\\n/* 64: */ }\\r\\n/* 65: */ catch (EncoderException e)\\r\\n/* 66: */ {\\r\\n/* 67: */ int sizeMinusOne;\\r\\n/* 68: */ ChannelPromise voidPromise;\\r\\n/* 69: */ boolean isVoidPromise;\\r\\n/* 70: */ int i;\\r\\n/* 71: */ ChannelPromise p;\\r\\n/* 72: */ ChannelPromise p;\\r\\n/* 73:104 */ throw e;\\r\\n/* 74: */ }\\r\\n/* 75: */ catch (Throwable t)\\r\\n/* 76: */ {\\r\\n/* 77:106 */ throw new EncoderException(t);\\r\\n/* 78: */ }\\r\\n/* 79: */ finally\\r\\n/* 80: */ {\\r\\n/* 81:108 */ if (out != null)\\r\\n/* 82: */ {\\r\\n/* 83:109 */ int sizeMinusOne = out.size() - 1;\\r\\n/* 84:110 */ if (sizeMinusOne == 0)\\r\\n/* 85: */ {\\r\\n/* 86:111 */ ctx.write(out.get(0), promise);\\r\\n/* 87: */ }\\r\\n/* 88:112 */ else if (sizeMinusOne > 0)\\r\\n/* 89: */ {\\r\\n/* 90:115 */ ChannelPromise voidPromise = ctx.voidPromise();\\r\\n/* 91:116 */ boolean isVoidPromise = promise == voidPromise;\\r\\n/* 92:117 */ for (int i = 0; i < sizeMinusOne; i++)\\r\\n/* 93: */ {\\r\\n/* 94: */ ChannelPromise p;\\r\\n/* 95: */ ChannelPromise p;\\r\\n/* 96:119 */ if (isVoidPromise) {\\r\\n/* 97:120 */ p = voidPromise;\\r\\n/* 98: */ } else {\\r\\n/* 99:122 */ p = ctx.newPromise();\\r\\n/* 100: */ }\\r\\n/* 101:124 */ ctx.write(out.getUnsafe(i), p);\\r\\n/* 102: */ }\\r\\n/* 103:126 */ ctx.write(out.getUnsafe(sizeMinusOne), promise);\\r\\n/* 104: */ }\\r\\n/* 105:128 */ out.recycle();\\r\\n/* 106: */ }\\r\\n/* 107: */ }\\r\\n/* 108: */ }\",\n \"@Override public void handleMessage(Message msg) {\\n super.handleMessage(msg);\\n byte[] byteArray = (byte[]) msg.obj;\\n int length = msg.arg1;\\n byte[] resultArray = length == -1 ? byteArray : new byte[length];\\n for (int i = 0; i < byteArray.length && i < length; ++i) {\\n resultArray[i] = byteArray[i];\\n }\\n String text = new String(resultArray, StandardCharsets.UTF_8);\\n if (msg.what == BluetoothTalker.MessageConstants.MESSAGE_WRITE) {\\n Log.i(TAG, \\\"we just wrote... [\\\" + length + \\\"] '\\\" + text + \\\"'\\\");\\n// mIncomingMsgs.onNext(text);\\n } else if (msg.what == BluetoothTalker.MessageConstants.MESSAGE_READ) {\\n Log.i(TAG, \\\"we just read... [\\\" + length + \\\"] '\\\" + text + \\\"'\\\");\\n Log.i(TAG, \\\" >>r \\\" + Arrays.toString((byte[]) msg.obj));\\n mIncomingMsgs.onNext(text);\\n sendMsg(\\\"I heard you : \\\" + Math.random() + \\\"!\\\");\\n// mReadTxt.setText(++ri + \\\"] \\\" + text);\\n// if (mServerBound && mServerService.isConnected()) {\\n// mServerService.sendMsg(\\\"I heard you : \\\" + Math.random() + \\\"!\\\");\\n// } else if (mClientBound && mClientService.isConnected()) {\\n// mClientService.sendMsg(\\\"I heard you : \\\" + Math.random() + \\\"!\\\");\\n// }\\n// mBluetoothStuff.mTalker.write();\\n }\\n }\",\n \"public ChannelPipeline method_4119() {\\n return null;\\n }\",\n \"@Override\\n\\tpublic void channelWritabilityChanged(ChannelHandlerContext ctx) throws Exception {\\n\\t\\tLog.i(\\\"MySocketHandler\\\", \\\"channelWritabilityChanged\\\");\\n\\t\\tsuper.channelWritabilityChanged(ctx);\\n\\t}\",\n \"@Override\\n\\tpublic void channelRegistered(ChannelHandlerContext ctx) throws Exception {\\n\\t\\tLog.i(\\\"MySocketHandler\\\", \\\"channelRegistered\\\");\\n\\t\\tsuper.channelRegistered(ctx);\\n\\t}\",\n \"@Override\\n protected void initChannel (SocketChannel ch) throws Exception {\\n // can utilize channel to push message to different client since one channel correspond to one client\\n System.out.println(\\\"client socket channel hashcode = \\\" + ch.hashCode());\\n ch.pipeline().addLast(new NettyServerHandler());\\n }\",\n \"@Override\\n\\tpublic void receive() {\\n\\t}\",\n \"@Override\\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\\n ctx.fireChannelActive();\\n\\n ctx.executor().scheduleAtFixedRate(new Runnable() {\\n @Override\\n public void run() {\\n log.info(\\\"send heart beat\\\");\\n HeartBeat heartBeat = new HeartBeat();\\n ctx.writeAndFlush(heartBeat);\\n }\\n }, 0, 5, TimeUnit.SECONDS);\\n }\",\n \"@Override\\r\\n\\tprotected void initChannel(SocketChannel ch) throws Exception {\\n\\t\\tch.pipeline().addLast(\\\"tcpDecoder\\\", new MessageDecoder());\\r\\n\\t\\tch.pipeline().addLast(\\\"tcpHandler\\\", new TcpServerHandler(ac)); \\r\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void flush(ChannelHandlerContext ctx) throws Exception {\\n\\t\\tLog.i(\\\"MySocketHandler\\\", \\\"flush\\\");\\n\\t\\tsuper.flush(ctx);\\n\\t}\",\n \"@Override\\n\\tpublic void readMessage(Message message) {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void msgReceived(Message msg) {\\n\\n\\t}\",\n \"@Override\\n\\tprotected void initChannel(SocketChannel ch) throws Exception {\\n\\t\\tch.pipeline().addLast(\\\"tcpDecoder\\\", new MessageDecoder());\\n\\t\\tch.pipeline().addLast(\\\"tcpHandler\\\", new TcpServerHandler(ac)); \\n\\t\\t\\n\\t}\",\n \"@Override\\n protected void initChannel(Channel ch) throws Exception {\\n log.info(\\\"Initialize handler pipeline for: {}\\\", ch);\\n ch.pipeline().addLast(\\\"lineBaseSplit\\\", new LineBasedFrameDecoder(Integer.MAX_VALUE));\\n ch.pipeline().addLast(new StringDecoder());\\n ch.pipeline().addLast(\\\"echo\\\", new EchoHandler2());\\n }\",\n \"public void execHandlerRead( Message msg ) {\\n\\t \\t// create valid data bytes\\n\\t\\tbyte[] buffer = (byte[]) msg.obj;\\n\\t\\tint length = (int) msg.arg1;\\n\\t\\tbyte[] bytes = new byte[ length ];\\n\\t\\tfor ( int i=0; i < length; i++ ) {\\n\\t\\t\\tbytes[ i ] = buffer[ i ];\\n\\t\\t}\\n\\t\\t// debug\\n\\t\\tString read = buildMsgBytes( \\\"r \\\", bytes );\\n\\t\\tlog_d( read );\\n\\t\\taddAndShowTextViewDebug( read );\\n\\t\\tnotifyRead( bytes );\\n\\t}\",\n \"public Message getMessageMinerChannel() {\\n\\t\\t\\n\\t\\tMessage temp = null;\\t\\n\\t\\ttry {\\n\\t\\t\\t//se ia mesajul din buffer\\n\\t\\t\\ttemp = bufferMinerChannel.take();\\n\\t\\t} catch (InterruptedException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\treturn temp;\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initChannel(SocketChannel ch) throws Exception {\\n ChannelPipeline pipeline = ch.pipeline();\\r\\n\\r\\n if (isSSL) {\\r\\n SSLEngine engine = SecureSSLContextFactory.getServerContext().createSSLEngine();\\r\\n engine.setUseClientMode(false);\\r\\n pipeline.addLast(\\\"ssl\\\", new SslHandler(engine));\\r\\n }\\r\\n\\r\\n pipeline.addLast(\\\"decoder\\\", new HttpRequestDecoder());\\r\\n pipeline.addLast(\\\"encoder\\\", new HttpResponseEncoder());\\r\\n\\r\\n // Remove the following line if you don't want automatic content\\r\\n // compression.\\r\\n pipeline.addLast(\\\"deflater\\\", new HttpContentCompressor());\\r\\n \\r\\n pipeline.addLast( \\\"http-aggregator\\\", new HttpObjectAggregator( Integer.MAX_VALUE ) );\\r\\n\\t\\t\\r\\n pipeline.addLast(\\\"chunkedWriter\\\",new ChunkedWriteHandler());\\r\\n\\r\\n pipeline.addLast(\\\"handler\\\", receiveHandler);\\r\\n\\t\\t\\r\\n\\t}\",\n \"public ChannelFuture writeOneInbound(Object msg) {\\n/* 339 */ return writeOneInbound(msg, newPromise());\\n/* */ }\",\n \"private common.messages.KVMessage receiveMessage() throws IOException {\\r\\n\\t\\t\\r\\n\\t\\tint index = 0;\\r\\n\\t\\tbyte[] msgBytes = null, tmp = null;\\r\\n\\t\\tbyte[] bufferBytes = new byte[BUFFER_SIZE];\\r\\n\\t\\t\\r\\n\\t\\t/* read first char from stream */\\r\\n\\t\\tbyte read = (byte) input.read();\\t\\r\\n\\t\\tboolean reading = true;\\r\\n\\t\\t\\r\\n//\\t\\tlogger.info(\\\"First Char: \\\" + read);\\r\\n//\\t\\tCheck if stream is closed (read returns -1)\\r\\n//\\t\\tif (read == -1){\\r\\n//\\t\\t\\tTextMessage msg = new TextMessage(\\\"\\\");\\r\\n//\\t\\t\\treturn msg;\\r\\n//\\t\\t}\\r\\n\\r\\n\\t\\twhile(/*read != 13 && */ read != 10 && read !=-1 && reading) {/* CR, LF, error */\\r\\n\\t\\t\\t/* if buffer filled, copy to msg array */\\r\\n\\t\\t\\tif(index == BUFFER_SIZE) {\\r\\n\\t\\t\\t\\tif(msgBytes == null){\\r\\n\\t\\t\\t\\t\\ttmp = new byte[BUFFER_SIZE];\\r\\n\\t\\t\\t\\t\\tSystem.arraycopy(bufferBytes, 0, tmp, 0, BUFFER_SIZE);\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\ttmp = new byte[msgBytes.length + BUFFER_SIZE];\\r\\n\\t\\t\\t\\t\\tSystem.arraycopy(msgBytes, 0, tmp, 0, msgBytes.length);\\r\\n\\t\\t\\t\\t\\tSystem.arraycopy(bufferBytes, 0, tmp, msgBytes.length,\\r\\n\\t\\t\\t\\t\\t\\t\\tBUFFER_SIZE);\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\tmsgBytes = tmp;\\r\\n\\t\\t\\t\\tbufferBytes = new byte[BUFFER_SIZE];\\r\\n\\t\\t\\t\\tindex = 0;\\r\\n\\t\\t\\t} \\r\\n\\t\\t\\t\\r\\n\\t\\t\\t/* only read valid characters, i.e. letters and constants */\\r\\n\\t\\t\\tbufferBytes[index] = read;\\r\\n\\t\\t\\tindex++;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t/* stop reading is DROP_SIZE is reached */\\r\\n\\t\\t\\tif(msgBytes != null && msgBytes.length + index >= DROP_SIZE) {\\r\\n\\t\\t\\t\\treading = false;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t/* read next char from stream */\\r\\n\\t\\t\\tread = (byte) input.read();\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tif(msgBytes == null){\\r\\n\\t\\t\\ttmp = new byte[index];\\r\\n\\t\\t\\tSystem.arraycopy(bufferBytes, 0, tmp, 0, index);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\ttmp = new byte[msgBytes.length + index];\\r\\n\\t\\t\\tSystem.arraycopy(msgBytes, 0, tmp, 0, msgBytes.length);\\r\\n\\t\\t\\tSystem.arraycopy(bufferBytes, 0, tmp, msgBytes.length, index);\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tmsgBytes = tmp;\\r\\n\\t\\t\\r\\n\\t\\t/* build final String */\\r\\n\\t\\tcommon.messages.KVMessage msg = new common.messages.KVAdminMessage(msgBytes);\\r\\n\\t\\tlogger.debug(\\\"RECEIVE \\\\t<\\\" \\r\\n\\t\\t\\t\\t+ clientSocket.getInetAddress().getHostAddress() + \\\":\\\" \\r\\n\\t\\t\\t\\t+ clientSocket.getPort() + \\\">: '\\\" \\r\\n\\t\\t\\t\\t+ msg.getMsg().trim() + \\\"'\\\");\\r\\n\\t\\treturn msg;\\r\\n }\",\n \"public interface IByteBufReader\\n{\\n /** Called to read an object from byte buf\\n * @param buf a {@link ByteBuf} to read from\\n * @return instance of the object\\n */\\n Object readBytes(ByteBuf buf);\\n}\",\n \"protected void onChannelData(SshMsgChannelData msg) throws IOException {\\r\\n if(firstPacket) {\\r\\n\\t if(dataSoFar==null) {\\r\\n\\t dataSoFar = msg.getChannelData();\\r\\n\\t } else {\\r\\n\\t byte newData[] = msg.getChannelData();\\r\\n\\t byte data[] = new byte[dataSoFar.length+newData.length];\\r\\n\\t System.arraycopy(dataSoFar, 0, data, 0, dataSoFar.length);\\r\\n\\t System.arraycopy(newData, 0, data, dataSoFar.length, newData.length);\\r\\n\\t dataSoFar = data;\\r\\n\\t }\\r\\n\\t if(allDataCheckSubst()) {\\r\\n\\t firstPacket = false;\\r\\n\\t socket.getOutputStream().write(dataSoFar);\\r\\n\\t }\\r\\n } else {\\r\\n\\t try {\\r\\n\\t socket.getOutputStream().write(msg.getChannelData());\\r\\n\\t }\\r\\n\\t catch (IOException ex) {\\r\\n\\t }\\r\\n }\\r\\n }\",\n \"@Override\\n protected String format(ChannelHandlerContext ctx, String eventName, Object arg) {\\n if (arg instanceof ByteBuf) {\\n return formatByteBuf(ctx, eventName, (ByteBuf) arg);\\n } else if (arg instanceof ByteBufHolder) {\\n return formatByteBufHolder(ctx, eventName, (ByteBufHolder) arg);\\n } else {\\n return formatSimple(ctx, eventName, arg);\\n }\\n }\",\n \"@Override\\n public void channelConnected(ChannelHandlerContext ctx, ChannelStateEvent e)\\n {\\n \\n Channel connectedChannel = e.getChannel();\\n allChannels.add(connectedChannel);\\n \\n msg = StringAppender.mergeToStr(connectedMsg, e.getChannel().getLocalAddress().toString(), \\\" , Connections:\\\", String.valueOf(allChannels.size()));\\n logger.info(msg);\\n \\n }\",\n \"protected void readPayload() throws IOException {\\n _data_stream.skipBytes(PushCacheProtocol.COMMAND_LEN);\\n int rlen = _data_stream.readInt();\\n if (rlen == 0) {\\n return;\\n }\\n _text_buffer = new byte[rlen];\\n int sofar = 0;\\n int toread = rlen;\\n sofar = 0;\\n toread = rlen;\\n int rv = -1;\\n edu.hkust.clap.monitor.Monitor.loopBegin(752);\\nwhile (toread > 0) { \\nedu.hkust.clap.monitor.Monitor.loopInc(752);\\n{\\n rv = _in.read(_text_buffer, sofar, toread);\\n if (rv < 0) {\\n throw new IOException(\\\"read returned \\\" + rv);\\n }\\n sofar += rv;\\n toread -= rv;\\n }} \\nedu.hkust.clap.monitor.Monitor.loopEnd(752);\\n\\n _data_stream = new DataInputStream(new ByteArrayInputStream(_text_buffer));\\n }\",\n \"@Override\\r\\n public void handleMessage(Message msg) {\\n }\",\n \"private void handleRead(SelectionKey key) throws IOException {\\n\\t\\t\\tSSLSocketChannel ssl_socket_channel = ((SSLClientSession)key.attachment()).getSSLSocketChannel();\\n\\t\\t\\tByteBuffer request = ssl_socket_channel.getAppRecvBuffer();\\n\\t\\t\\tint count = ssl_socket_channel.read();\\n\\t\\t\\t\\n\\t\\t\\tif (count < 0) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tremoveKeyAndSession(key);\\n\\t\\t\\t\\t\\n\\t\\t\\t} else if (request.position() > 0) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\tString message = new String(request.array(),0,request.position());\\n\\t\\t\\t\\t\\t\\n//\\t\\t\\t\\t\\tOutputHandler.println(\\\"Server: read \\\"+message);\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// Parse the JSON message\\n\\t\\t\\t\\t\\tJSONObject json = (JSONObject) parser.parse(message);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// Process the message\\n\\t\\t\\t\\t\\tprocessNetworkMessage(json, key);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\trequest.clear();\\n\\t\\t\\t\\t} catch (ParseException e) {\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"Invalid message format.\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\",\n \"protected void channelRead0(ChannelHandlerContext channelHandlerContext, CommandMessage command) throws Exception {\\r\\n\\r\\n final Op cmd = command.op;\\r\\n\\r\\n // now do the real work\\r\\n if (this.verbose) {\\r\\n final StringBuilder log = new StringBuilder(1024);\\r\\n log.append(cmd);\\r\\n if (command.element != null) {\\r\\n log.append(\\\" \\\").append(command.element.getKey());\\r\\n }\\r\\n log.append(\\\" \\\").append(command.key);\\r\\n logger.info(log.toString());\\r\\n }\\r\\n\\r\\n final Channel channel = channelHandlerContext.channel();\\r\\n if (cmd == null) {\\r\\n handleNoOp(command, channel);\\r\\n } else {\\r\\n switch (cmd) {\\r\\n case GET:\\r\\n handleGet(command, channel);\\r\\n break;\\r\\n case GETS:\\r\\n handleGets(command, channel);\\r\\n break;\\r\\n case APPEND:\\r\\n handleAppend(command, channel);\\r\\n break;\\r\\n case PREPEND:\\r\\n handlePrepend(command, channel);\\r\\n break;\\r\\n case DELETE:\\r\\n handleDelete(command, channel);\\r\\n break;\\r\\n case DECR:\\r\\n handleDecr(command, channel);\\r\\n break;\\r\\n case INCR:\\r\\n handleIncr(command, channel);\\r\\n break;\\r\\n case REPLACE:\\r\\n handleReplace(command, channel);\\r\\n break;\\r\\n case ADD:\\r\\n handleAdd(command, channel);\\r\\n break;\\r\\n case SET:\\r\\n handleSet(command, channel);\\r\\n break;\\r\\n case CAS:\\r\\n handleCas(command, channel);\\r\\n break;\\r\\n case STATS:\\r\\n handleStats(command, channel);\\r\\n break;\\r\\n case VERSION:\\r\\n handleVersion(command, channel);\\r\\n break;\\r\\n case QUIT:\\r\\n handleQuit(channel);\\r\\n break;\\r\\n case FLUSH_ALL:\\r\\n handleFlush(command, channel);\\r\\n break;\\r\\n case VERBOSITY:\\r\\n handleVerbosity(command, channel);\\r\\n break;\\r\\n default:\\r\\n throw new UnknownCommandException(\\\"unknown command\\\");\\r\\n }\\r\\n }\\r\\n }\",\n \"public static void main(String[] args) throws Exception {\\n final SocketChannel socketChannel = SocketChannel.open(new InetSocketAddress(\\\"127.0.0.1\\\", 8088));\\n socketChannel.configureBlocking(false);\\n\\n //客户端建立连接\\n// socketChannel.register(selector, SelectionKey.OP_CONNECT);\\n// socketChannel.isConnected();\\n\\n\\n// new Thread(new Runnable() {\\n// @Override\\n// public void run() {\\n// System.out.println(\\\"客户端发送消息~~~\\\");\\n// String clientMsg = \\\"客户端首发信息\\\";\\n// ByteBuffer byteBuffer = ByteBuffer.allocate(clientMsg.getBytes().length);\\n// byteBuffer.put(clientMsg.getBytes());\\n// byteBuffer.flip();\\n// try {\\n// socketChannel.write(byteBuffer);\\n// } catch (IOException e) {\\n// e.printStackTrace();\\n// }\\n// }\\n// }).start();\\n\\n System.out.println(\\\"客户端发送消息~~~\\\");\\n String clientMsg = \\\"客户端首发信息\\\";\\n ByteBuffer byteBuffer = ByteBuffer.allocate(clientMsg.getBytes().length);\\n byteBuffer.put(clientMsg.getBytes());\\n byteBuffer.flip();\\n try {\\n socketChannel.write(byteBuffer);\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n\\n Scanner scanner = new Scanner(System.in);\\n while (scanner.hasNext()){\\n byteBuffer.flip();\\n String str = scanner.next();\\n byteBuffer.put(str.getBytes());\\n byteBuffer.flip();\\n socketChannel.write(byteBuffer);\\n }\\n socketChannel.close();\\n// System.out.println(\\\"客户端接收消息~~~\\\");\\n// ByteBuffer bbf = ByteBuffer.allocate(1024);\\n// int num = socketChannel.read(bbf);\\n// if (num > 0) {\\n// bbf.flip();\\n// byte[] bytes = new byte[bbf.remaining()];\\n// bbf.get(bytes);\\n// System.out.println(\\\"客户端接收到服务端信息：\\\" + (new String(bytes, \\\"UTF-8\\\")));\\n// }\\n\\n// while (true) {\\n//// selector.select(1000);\\n// Set<SelectionKey> selectionKeys = selector.selectedKeys();\\n// Iterator<SelectionKey> iterator = selectionKeys.iterator();\\n// System.out.println(\\\"--1\\\");\\n// while (iterator.hasNext()) {\\n// System.out.println(\\\"--2\\\");\\n// SelectionKey key = iterator.next();\\n// System.out.println(\\\"--3\\\");\\n//\\n// final SocketChannel channel = (SocketChannel) key.channel();\\n// new Thread(new Runnable() {\\n// @Override\\n// public void run() {\\n// System.out.println(\\\"客户端发送消息~~~\\\");\\n// String clientMsg = \\\"客户端首发信息\\\";\\n// ByteBuffer byteBuffer = ByteBuffer.allocate(clientMsg.getBytes().length);\\n// byteBuffer.put(clientMsg.getBytes());\\n// byteBuffer.flip();\\n// try {\\n// channel.write(byteBuffer);\\n// } catch (IOException e) {\\n// e.printStackTrace();\\n// }\\n// }\\n// }).start();\\n// System.out.println(\\\"--4\\\");\\n// if (key.isReadable()) {\\n// System.out.println(\\\"客户端接收消息~~~\\\");\\n// ByteBuffer bbf = ByteBuffer.allocate(1024);\\n// int num = channel.read(bbf);\\n// if (num > 0) {\\n// bbf.flip();\\n// byte[] bytes = new byte[bbf.remaining()];\\n// bbf.put(bytes);\\n// System.out.println(\\\"客户端接收到服务端信息：\\\" + (new String(bytes, \\\"UTF-8\\\")));\\n// }\\n// }\\n// iterator.remove();\\n// }\\n// }\\n\\n }\",\n \"SocketChannel getChannel();\",\n \"public static void main(String[] args) {\\n\\t\\tSystem.out.println(\\\"Hello\\\");\\n\\t\\tByteBuf bb = Unpooled.buffer();\\n\\t\\t\\n\\t\\tSystem.out.println(bb.retain());\\n\\t\\tSystem.out.println(bb.capacity());\\n\\t\\tSystem.out.println(bb);\\n\\t\\tbb.writeByte(5);\\n\\t\\tbb.writeInt(5);\\n\\t\\tbyte a = bb.readByte();\\n\\t\\tSystem.out.println(bb);\\n\\t\\tSystem.out.println(a);\\n\\t}\",\n \"@Override\\n public void channelActive(ChannelHandlerContext ctx) throws Exception {\\n RemoteSensor remoteSensor = RemoteSensorManager.getInstance().addSensorChannel(ctx);\\n QueuerManager.getInstance().addClient(remoteSensor);\\n// System.out.println(RemoteSensorManager.getInstance().getRemoteSensorsNamesList().size());\\n }\",\n \"@Override\\n\\t\\t\\t\\t\\tprotected void initChannel(SocketChannel ch)\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\tch.pipeline().addLast(new LengthFieldPrepender(2));\\n\\t\\t\\t\\t\\t\\tch.pipeline().addLast(new LengthFieldBasedFrameDecoder(0xFFFF, 0, 2));\\n\\t\\t\\t\\t\\t\\tch.pipeline().addLast(new PacketCodec());\\n\\t\\t\\t\\t\\t\\tch.pipeline().addLast(new ServerChannelHandler(instance));\\n\\t\\t\\t\\t\\t}\",\n \"@Override\\n\\t\\t\\t\\t\\tpublic void completed(Integer result, AsynchronousSocketChannel channel) {\\n\\n\\t\\t\\t\\t\\t\\t//AsyncSocketTransport.this.transportListeners.forEach(l -> l.onReceived(buf));\\n\\t\\t\\t\\t\\t\\tsubscriber.onNext(new Packet(session, buf));\\n\\n\\t\\t\\t\\t\\t\\t// start to read next message again\\n\\t\\t\\t\\t\\t\\tstartRead(channel);\\n\\t\\t\\t\\t\\t}\",\n \"public ByteBuf readBytes(ByteBuf dst)\\r\\n/* 465: */ {\\r\\n/* 466:478 */ recordLeakNonRefCountingOperation(this.leak);\\r\\n/* 467:479 */ return super.readBytes(dst);\\r\\n/* 468: */ }\",\n \"@Override\\n public void onBufferReceived(byte[] buffer) {\\n }\",\n \"int filterBytes(GetsState gs) {\\n ChannelBuffer buf;\\n byte[] raw;\\n int rawStart, rawEnd;\\n char[] dst;\\n int offset, toRead, /*dstNeeded,*/ spaceLeft, result, rawLen, length;\\n TclObject obj;\\n final int ENCODING_LINESIZE = 20; // Lower bound on how many bytes\\n // to convert at a time. Since we\\n // don't know a priori how many\\n // bytes of storage this many\\n // source bytes will use, we\\n // actually need at least\\n // ENCODING_LINESIZE bytes of room.\\n\\n boolean goto_read = false; // Set to true when jumping to the read\\n // label, used to simulate a goto.\\n\\n final boolean debug = false;\\n\\n obj = gs.obj;\\n\\n // Subtract the number of bytes that were removed from channel buffer\\n // during last call.\\n\\n buf = gs.buf;\\n if (buf != null) {\\n buf.nextRemoved += gs.rawRead.i;\\n if (buf.nextRemoved >= buf.nextAdded) {\\n buf = buf.next;\\n }\\n }\\n gs.totalChars += gs.charsWrote.i;\\n\\n read: while (true) {\\n if (goto_read || (buf == null) || (buf.nextAdded == buf.BUFFER_PADDING)) {\\n // All channel buffers were exhausted and the caller still hasn't\\n // seen EOL. Need to read more bytes from the channel device.\\n // Side effect is to allocate another channel buffer.\\n\\n //read:\\n if (blocked) {\\n if (!blocking) {\\n gs.charsWrote.i = 0;\\n gs.rawRead.i = 0;\\n return -1;\\n }\\n blocked = false;\\n }\\n if (getInput() != 0) {\\n gs.charsWrote.i = 0;\\n gs.rawRead.i = 0;\\n return -1;\\n }\\n buf = inQueueTail;\\n gs.buf = buf;\\n }\\n\\n // Convert some of the bytes from the channel buffer to characters.\\n // Space in obj's string rep is used to hold the characters.\\n\\n rawStart = buf.nextRemoved;\\n raw = buf.buf;\\n rawEnd = buf.nextAdded;\\n rawLen = rawEnd - rawStart;\\n\\n toRead = ENCODING_LINESIZE;\\n if (toRead > rawLen) {\\n toRead = rawLen;\\n }\\n dst = new char[toRead];\\n result = externalToUnicode(raw, rawStart, rawLen,\\n dst, 0, toRead,\\n gs.rawRead, /*gs.bytesWrote*/ null, gs.charsWrote,\\n gs.charToBytes);\\n TclString.append(gs.obj, dst, 0, gs.charsWrote.i);\\n\\n if (debug) {\\n System.out.println(\\\"filterBytes chars\\\");\\n\\n String srep = gs.obj.toString();\\n int len = srep.length();\\n\\n for (int i=0; i < len; i++) {\\n char c = srep.charAt(i);\\n String prep;\\n if (c == '\\\\r') {\\n prep = \\\"\\\\\\\\r\\\";\\n } else if (c == '\\\\n') {\\n prep = \\\"\\\\\\\\n\\\";\\n } else {\\n prep = \\\"\\\" + c;\\n }\\n\\n System.out.println(\\\"filtered[\\\" + i + \\\"] = '\\\" +\\n prep +\\n \\\"' (int) \\\" + ((int) srep.charAt(i)) +\\n \\\" 0x\\\" + Integer.toHexString((int) srep.charAt(i)));\\n }\\n }\\n\\n // Make sure that if we go through 'gets', that we reset the\\n // TCL_ENCODING_START flag still. [Bug #523988]\\n\\n encodingStart = false;\\n\\n if (result == TCL_CONVERT_MULTIBYTE) {\\n // The last few bytes in this channel buffer were the start of a\\n // multibyte sequence. If this buffer was full, then move them to\\n // the next buffer so the bytes will be contiguous. \\n\\n if (debug) {\\n System.out.println(\\\"TCL_CONVERT_MULTIBYTE decode result found\\\");\\n }\\n\\n ChannelBuffer next;\\n int extra;\\n\\n next = buf.next;\\n if (buf.nextAdded < buf.bufLength) {\\n if (gs.rawRead.i > 0) {\\n // Some raw bytes were converted to UTF-8. Fall through,\\n // returning those UTF-8 characters because a EOL might be\\n // present in them.\\n } else if (eofCond) {\\n // There was a partial character followed by EOF on the\\n // device. Fall through, returning that nothing was found.\\n\\n buf.nextRemoved = buf.nextAdded;\\n } else {\\n // There are no more cached raw bytes left. See if we can\\n // get some more.\\n\\n goto_read = true;\\n continue read; //goto read;\\n }\\n } else {\\n if (next == null) {\\n next = new ChannelBuffer(bufSize);\\n buf.next = next;\\n inQueueTail = next;\\n }\\n extra = rawLen - gs.rawRead.i;\\n System.arraycopy(raw, rawStart + gs.rawRead.i,\\n next.buf, buf.BUFFER_PADDING - extra, extra);\\n next.nextRemoved -= extra;\\n buf.nextAdded -= extra;\\n\\n if (debug) {\\n System.out.println(\\\"copied \\\" + extra + \\\" bytes to \\\" +\\n \\\"next ChannelBuffer\\\");\\n }\\n }\\n }\\n\\n break read; // End loop in the normal case\\n } // End read labeled while loop\\n\\n gs.buf = buf;\\n return 0;\\n }\",\n \"void onMessageRead(byte[] data);\",\n \"boolean consume (SocketChannel chan) {\\n try {\\n consumeBuffer.clear ();\\n int c = chan.read (consumeBuffer);\\n if (c == -1)\\n return true;\\n } catch (IOException e) {\\n return true;\\n }\\n return false;\\n }\",\n \"protected final void decode(ChannelHandlerContext ctx, ByteBuf in, List<Object> out)\\r\\n/* 21: */ throws Exception\\r\\n/* 22: */ {\\r\\n/* 23:58 */ Object decoded = decode(ctx, in);\\r\\n/* 24:59 */ if (decoded != null) {\\r\\n/* 25:60 */ out.add(decoded);\\r\\n/* 26: */ }\\r\\n/* 27: */ }\",\n \"@Override\\n protected synchronized void addReader(ChannelHandlerReadSubscription subscription) {\\n super.addReader(subscription);\\n }\",\n \"@Override\\n\\tprotected void encode(ChannelHandlerContext ctx, RPCResponse msg, ByteBuf out) throws Exception {\\n\\t\\tbyte[] data = SerializationUtils.serialize(msg);\\n\\t\\tout.writeInt(data.length);\\n\\t\\tout.writeBytes( data );\\n\\t}\",\n \"java.lang.String getChannel();\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7913225","0.7911547","0.77585787","0.77301055","0.76795214","0.7546021","0.74766666","0.7342502","0.7167789","0.71423143","0.70664585","0.6942215","0.6937418","0.6915315","0.6858832","0.6836581","0.6811689","0.6784842","0.6702003","0.66993415","0.66804427","0.6656","0.6621622","0.6574723","0.6507412","0.6507326","0.64460367","0.6378369","0.635688","0.634256","0.6290215","0.62697387","0.6259315","0.62049246","0.62031317","0.61596334","0.6119848","0.6105493","0.6099792","0.6072903","0.60531586","0.60241395","0.59963495","0.59685844","0.5923401","0.5900867","0.5894616","0.5891396","0.58589196","0.5853119","0.582654","0.5816855","0.5815376","0.580606","0.5779305","0.57785004","0.5774799","0.57724065","0.5770087","0.57570755","0.57566947","0.57461035","0.5724522","0.57222235","0.57213175","0.5716563","0.5703529","0.56963325","0.5687093","0.5654268","0.56516206","0.56374645","0.5622268","0.5583865","0.55802745","0.5572001","0.55706483","0.5559766","0.5559274","0.55540013","0.55303675","0.55297863","0.5524296","0.5518794","0.5499787","0.54967225","0.54964894","0.5484898","0.5484183","0.54797256","0.5477224","0.547423","0.54643154","0.5460122","0.5442716","0.544145","0.5440439","0.54336274","0.5433327","0.5431879"],"string":"[\n \"0.7913225\",\n \"0.7911547\",\n \"0.77585787\",\n \"0.77301055\",\n \"0.76795214\",\n \"0.7546021\",\n \"0.74766666\",\n \"0.7342502\",\n \"0.7167789\",\n \"0.71423143\",\n \"0.70664585\",\n \"0.6942215\",\n \"0.6937418\",\n \"0.6915315\",\n \"0.6858832\",\n \"0.6836581\",\n \"0.6811689\",\n \"0.6784842\",\n \"0.6702003\",\n \"0.66993415\",\n \"0.66804427\",\n \"0.6656\",\n \"0.6621622\",\n \"0.6574723\",\n \"0.6507412\",\n \"0.6507326\",\n \"0.64460367\",\n \"0.6378369\",\n \"0.635688\",\n \"0.634256\",\n \"0.6290215\",\n \"0.62697387\",\n \"0.6259315\",\n \"0.62049246\",\n \"0.62031317\",\n \"0.61596334\",\n \"0.6119848\",\n \"0.6105493\",\n \"0.6099792\",\n \"0.6072903\",\n \"0.60531586\",\n \"0.60241395\",\n \"0.59963495\",\n \"0.59685844\",\n \"0.5923401\",\n \"0.5900867\",\n \"0.5894616\",\n \"0.5891396\",\n \"0.58589196\",\n \"0.5853119\",\n \"0.582654\",\n \"0.5816855\",\n \"0.5815376\",\n \"0.580606\",\n \"0.5779305\",\n \"0.57785004\",\n \"0.5774799\",\n \"0.57724065\",\n \"0.5770087\",\n \"0.57570755\",\n \"0.57566947\",\n \"0.57461035\",\n \"0.5724522\",\n \"0.57222235\",\n \"0.57213175\",\n \"0.5716563\",\n \"0.5703529\",\n \"0.56963325\",\n \"0.5687093\",\n \"0.5654268\",\n \"0.56516206\",\n \"0.56374645\",\n \"0.5622268\",\n \"0.5583865\",\n \"0.55802745\",\n \"0.5572001\",\n \"0.55706483\",\n \"0.5559766\",\n \"0.5559274\",\n \"0.55540013\",\n \"0.55303675\",\n \"0.55297863\",\n \"0.5524296\",\n \"0.5518794\",\n \"0.5499787\",\n \"0.54967225\",\n \"0.54964894\",\n \"0.5484898\",\n \"0.5484183\",\n \"0.54797256\",\n \"0.5477224\",\n \"0.547423\",\n \"0.54643154\",\n \"0.5460122\",\n \"0.5442716\",\n \"0.544145\",\n \"0.5440439\",\n \"0.54336274\",\n \"0.5433327\",\n \"0.5431879\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7598814"},"document_rank":{"kind":"string","value":"5"}}},{"rowIdx":32583,"cells":{"query":{"kind":"string","value":"Applies a velocity to each of the entities pushing them away from each other. Args: entity"},"document":{"kind":"string","value":"@Override\r\n public void applyEntityCollision(Entity entity)\r\n {\r\n Vector3 v = Vector3.getNewVector();\r\n Vector3 v1 = Vector3.getNewVector();\r\n\r\n blockBoxes.clear();\r\n\r\n int sizeX = blocks.length;\r\n int sizeY = blocks[0].length;\r\n int sizeZ = blocks[0][0].length;\r\n Set<Double> topY = Sets.newHashSet();\r\n for (int i = 0; i < sizeX; i++)\r\n for (int k = 0; k < sizeY; k++)\r\n for (int j = 0; j < sizeZ; j++)\r\n {\r\n ItemStack stack = blocks[i][k][j];\r\n if (stack == null || stack.getItem() == null) continue;\r\n\r\n Block block = Block.getBlockFromItem(stack.getItem());\r\n AxisAlignedBB box = Matrix3.getAABB(posX + block.getBlockBoundsMinX() - 0.5 + boundMin.x + i,\r\n posY + block.getBlockBoundsMinY() + k,\r\n posZ + block.getBlockBoundsMinZ() - 0.5 + boundMin.z + j,\r\n posX + block.getBlockBoundsMaxX() + 0.5 + boundMin.x + i,\r\n posY + block.getBlockBoundsMaxY() + k,\r\n posZ + block.getBlockBoundsMaxZ() + 0.5 + boundMin.z + j);\r\n blockBoxes.add(box);\r\n topY.add(box.maxY);\r\n }\r\n\r\n v.setToVelocity(entity).subtractFrom(v1.setToVelocity(this));\r\n v1.clear();\r\n Matrix3.doCollision(blockBoxes, entity.getEntityBoundingBox(), entity, 0, v, v1);\r\n for(Double d: topY)\r\n if (entity.posY >= d && entity.posY + entity.motionY <= d && motionY <= 0)\r\n {\r\n double diff = (entity.posY + entity.motionY) - (d + motionY);\r\n double check = Math.max(0.5, Math.abs(entity.motionY + motionY));\r\n if (diff > 0 || diff < -0.5 || Math.abs(diff) > check)\r\n {\r\n entity.motionY = 0;\r\n }\r\n }\r\n\r\n boolean collidedY = false;\r\n if (!v1.isEmpty())\r\n {\r\n if (v1.y >= 0)\r\n {\r\n entity.onGround = true;\r\n entity.fallDistance = 0;\r\n entity.fall(entity.fallDistance, 0);\r\n }\r\n else if (v1.y < 0)\r\n {\r\n boolean below = entity.posY + entity.height - (entity.motionY + motionY) < posY;\r\n if (below)\r\n {\r\n v1.y = 0;\r\n }\r\n }\r\n if (v1.x != 0) entity.motionX = 0;\r\n if (v1.y != 0) entity.motionY = motionY;\r\n if (v1.z != 0) entity.motionZ = 0;\r\n if (v1.y != 0) collidedY = true;\r\n v1.addTo(v.set(entity));\r\n v1.moveEntity(entity);\r\n }\r\n if (entity instanceof EntityPlayer)\r\n {\r\n EntityPlayer player = (EntityPlayer) entity;\r\n if (Math.abs(player.motionY) < 0.1 && !player.capabilities.isFlying)\r\n {\r\n entity.onGround = true;\r\n entity.fallDistance = 0;\r\n }\r\n if (!player.capabilities.isCreativeMode && !player.worldObj.isRemote)\r\n {\r\n EntityPlayerMP entityplayer = (EntityPlayerMP) player;\r\n if (collidedY) entityplayer.playerNetServerHandler.floatingTickCount = 0;\r\n }\r\n }\r\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["private void updatePhysics ( ECSEntity entity, long t )\n {\n // Constants.\n \n final double SCREEN_HEIGHT = 600.0;\n final double FRICTION_COEFFICIENT = 0.0001 / SCREEN_HEIGHT;\n final double ACCELERATION = 0.001 / SCREEN_HEIGHT;\n \n // Initialize working variables.\n \n double ax = 0.0;\n double ay = 0.0;\n \n // Retrieve the entity's components.\n \n this.transform = ( ComponentTransform ) entity.getComponent ( Constants.COMPONENT_TRANSFORM );\n this.physics = ( ComponentPhysics ) entity.getComponent ( Constants.COMPONENT_PHYSICS );\n \n // Initialize working variables.\n \n Vector2D a = new Vector2D ( this.physics.acceleration );\n Vector2D v = new Vector2D (); \n Vector2D d = new Vector2D ();\n Vector2D u = new Vector2D ();\n Vector2D dUp = new Vector2D ( 0.0, 1.0 );\n Vector2D dDown = new Vector2D ( 0.0, -1.0 );\n Vector2D dRight = new Vector2D ( 1.0, 0.0 );\n Vector2D dLeft = new Vector2D ( -1.0, 0.0 );\n double p = FRICTION_COEFFICIENT;\n double vMax = this.physics.vMax;\n \n // Calculate velocity.\n \n v.setVector ( a.scale ( t ) ); // Acceleration: a = v/t ↔ v = a·t (Newtonian acceleration).\n \n // Apply accelerator.\n \n if ( v.magnitude() < vMax / t )\n { \n if ( this.physics.accelerateUp ) { a.setVector ( a.add ( dUp.scale ( ACCELERATION ) ) ); }\n if ( this.physics.accelerateDown ) { a.setVector ( a.add ( dDown.scale ( ACCELERATION ) ) ); }\n if ( this.physics.accelerateRight ) { a.setVector ( a.add ( dRight.scale ( ACCELERATION ) ) ); }\n if ( this.physics.accelerateLeft ) { a.setVector ( a.add ( dLeft.scale ( ACCELERATION ) ) ); } \n } \n else\n { \n if ( this.physics.accelerateUp ) { a.setVector ( a.subtract ( dUp.scale ( ACCELERATION ) ) ); }\n if ( this.physics.accelerateDown ) { a.setVector ( a.subtract ( dDown.scale ( ACCELERATION ) ) ); }\n if ( this.physics.accelerateRight ) { a.setVector ( a.subtract ( dRight.scale ( ACCELERATION ) ) ); }\n if ( this.physics.accelerateLeft ) { a.setVector ( a.subtract ( dLeft.scale ( ACCELERATION ) ) ); }\n }\n \n // Calculate displacement. ( Distance to move in this time slice ).\n \n d.setVector ( v.scale ( t ) ); // Velocity: v = d/t ↔ d = v·t (Newtonian velocity).\n \n // Apply friction coefficient.\n \n double a2 = 4.0; // Friction amplifier. Used to speed up lateral deceleration, which improves the sense of control response experienced by the user.\n \n ax = a.getX ();\n ay = a.getY ();\n \n if ( this.physics.accelerateUp || this.physics.accelerateDown )\n {\n // If the user is currently accelerating up or down, then use the friction amplifier to speed up deceleration along the horizontal axis.\n \n if ( ax < 0 ) ax += p*a2;\n if ( ax > 0 ) ax -= p*a2;\n if ( ay < 0 ) ay += p;\n if ( ay > 0 ) ay -= p;\n }\n else if ( this.physics.accelerateLeft || this.physics.accelerateRight )\n {\n // If the user is currently accelerating left or right, then use the friction amplifier to speed up deceleration along the vertical axis.\n \n if ( ax < 0 ) ax += p;\n if ( ax > 0 ) ax -= p;\n if ( ay < 0 ) ay += p*a2;\n if ( ay > 0 ) ay -= p*a2;\n }\n else\n {\n // If the user is not accelerating in any direction, then just apply the normal friction coefficient in all direction.\n \n if ( ax < 0 ) { ax += p; if ( ax > 0.0 ) ax = 0.0; }\n if ( ax > 0 ) { ax -= p; if ( ax < 0.0 ) ax = 0.0; }\n if ( ay < 0 ) { ay += p; if ( ay > 0.0 ) ay = 0.0; }\n if ( ay > 0 ) { ay -= p; if ( ay < 0.0 ) ay = 0.0; }\n }\n \n a.setVector ( ax, ay );\n \n // Update physics.\n \n this.physics.acceleration.setVector ( a );\n this.physics.velocity.setVector ( v );\n \n // Update translation.\n \n this.transform.translation.setVector ( this.transform.translation.add ( d ) );\n }","public void applyEntityCollision(Entity entityIn) {\n }","public void update(Vehicle v, float dt) {\nPoint2D.Float p = v.getPosition();\r\nPoint2D.Float tp = target.getPosition();\r\nPoint2D.Float desired_velocity = new Point2D.Float(tp.x - p.x , tp.y - p.y);\r\nVehicle.scale(desired_velocity, v.getMaxSpeed());\r\nv.updateSteering(desired_velocity.x, desired_velocity.y);\r\n}","public static void mountVelocity(Entity e, double x, double y, double z) {\r\n\t\tList<Entity> collidingEnts = WorldHelper.collidingEntities(e);\r\n\t\tif (!e.world.isRemote) {\r\n\t\t\tfor (Entity collider : collidingEnts) {\r\n\t\t\t\tcollider.addVelocity(x, y, z);\r\n\t\t\t}\r\n\t\t}\r\n\t}","@Override\n protected void processEntity(Entity entity, float deltaTime) {\n final TransformComponent curTransform = Mapper.TRANSFORM.get(entity);\n final MovementComponent curMovement = Mapper.MOVEMENT.get(entity);\n\n // Store the real normal vector in a temporary object.\n // This vector requires that we normalize the normal vector and scale it to the move speed magnitude.\n Vector2 move_vec = new Vector2(curMovement.MOVEMENT_NORMAL).nor().scl((float)curMovement.moveSpeed * 60f * deltaTime);\n\n // Move and rotate the entity\n curTransform.POSITION.add(move_vec);\n curTransform.rotation += curMovement.rotSpeed * deltaTime;\n\n // Limit rotation to [0, 360) for easy printouts.\n if (curTransform.rotation >= 360)\n curTransform.rotation -= 360;\n if (curTransform.rotation < 0)\n curTransform.rotation += 360;\n }","private void doVels() {\n\t\tthis.launchPerVel = Math.sqrt((2d * body.getGm() * this.launchApoAlt) / (this.launchPerAlt * this.a));\n\t\tthis.launchApoVel = Math.sqrt((2d * body.getGm() * this.launchPerAlt) / (this.launchApoAlt * this.a));\n\t}","public void applyForce(E entity,Force force);","public abstract void collideWith(Entity entity);","void update() {\n for( int i= 0; i < masses.length; i++) {\n masses[i].posX += masses[i].vx*dt;\n masses[i].posY += masses[i].vy*dt;\n }\n\n for( int i = 0; i < springs.length; i++) {\n if( !springs[i].mass1.fixed ) {\n springs[i].mass1.vx += ( springs[i].forceX() + nx(springs[i].mass1)*Math.pow(dist(springs[i].mass1)/(width*Math.sqrt(2)),2) - 0.005*springs[i].mass1.vx ) * dt;\n springs[i].mass1.vy += ( springs[i].forceY() + ny(springs[i].mass1)*Math.pow(dist(springs[i].mass1)/(width*Math.sqrt(2)),2) - 0.005*springs[i].mass1.vy ) * dt;\n }\n\n if( !springs[i].mass2.fixed ) {\n springs[i].mass2.vx += ( (-1)*springs[i].forceX() + nx(springs[i].mass2)*Math.pow(dist(springs[i].mass1)/(width*Math.sqrt(2)),2) - 0.005*springs[i].mass2.vx ) * dt;\n springs[i].mass2.vy += ( (-1)*springs[i].forceY() + ny(springs[i].mass2)*Math.pow(dist(springs[i].mass1)/(width*Math.sqrt(2)),2) - 0.005*springs[i].mass2.vy ) * dt;\n }\n }\n }","public void onUsingTick(ItemStack stack, EntityPlayer player, int count) {\n/* 132 */ player.motionX = 0.0D;\n/* 133 */ player.motionZ = 0.0D;\n/* */ \n/* 135 */ int searchRange = 20;\n/* 136 */ List<EntityLivingBase> entities = player.worldObj.getEntitiesWithinAABB(EntityLivingBase.class, AxisAlignedBB.getBoundingBox(player.posX - searchRange, player.posY - searchRange, player.posZ - searchRange, player.posX + searchRange, player.posY + searchRange, player.posZ + searchRange));\n/* */ \n/* 138 */ if (entities.contains(player)) {\n/* 139 */ entities.remove(player);\n/* */ }\n/* 141 */ if (count < getMaxItemUseDuration(stack) - 20) {\n/* 142 */ for (int counter = entities.size() - 1; counter >= 0; counter--) {\n/* 143 */ if (player.getDistanceToEntity((Entity)entities.get(counter)) <= 3.0F && \n/* 144 */ WandManager.consumeVisFromInventory(player, (new AspectList()).add(Aspect.FIRE, (int)(150.0F * RelicsConfigHandler.soulTomeVisMult)).add(Aspect.ENTROPY, (int)(120.0F * RelicsConfigHandler.soulTomeVisMult)))) {\n/* */ \n/* 146 */ EntityLivingBase thrownEntity = entities.get(counter);\n/* */ \n/* 148 */ Vector3 entityVec = Vector3.fromEntityCenter((Entity)thrownEntity);\n/* 149 */ Vector3 playerVec = Vector3.fromEntityCenter((Entity)player);\n/* */ \n/* 151 */ Vector3 diff = entityVec.copy().sub(playerVec).multiply((1.0F / player.getDistanceToEntity((Entity)thrownEntity) * 3.0F));\n/* */ \n/* 153 */ float curve = (float)(1.0D / player.getDistance(entityVec.x, entityVec.y, entityVec.z) * 8.0D);\n/* */ \n/* 155 */ if (!player.worldObj.isRemote)\n/* 156 */ for (int counterZ = 0; counterZ <= 3; counterZ++) {\n/* 157 */ Main.proxy.lightning(player.worldObj, player.posX, player.posY + 1.0D, player.posZ, entityVec.x, entityVec.y, entityVec.z, 40, curve, (int)(player.getDistance(entityVec.x, entityVec.y, entityVec.z) * 6.0D), 0, 0.075F);\n/* */ } \n/* 159 */ player.worldObj.playSoundAtEntity((Entity)player, \"thaumcraft:zap\", 1.0F, 0.8F);\n/* */ \n/* 161 */ thrownEntity.attackEntityFrom((DamageSource)new DamageRegistryHandler.DamageSourceTLightning((Entity)player), (float)(20.0D + 80.0D * Math.random()));\n/* */ \n/* 163 */ thrownEntity.motionX = diff.x;\n/* 164 */ thrownEntity.motionY = diff.y + 1.0D;\n/* 165 */ thrownEntity.motionZ = diff.z;\n/* */ } \n/* */ } \n/* */ }\n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* */ \n/* 195 */ this; this; this; this; if ((((count < getMaxItemUseDuration(stack) - 20) ? 1 : 0) & ((count % 4 == 0) ? 1 : 0)) != 0 && WandManager.consumeVisFromInventory(player, (new AspectList()).add(Aspect.EARTH, TerraCost).add(Aspect.AIR, AerCost).add(Aspect.FIRE, IgnisCost).add(Aspect.ENTROPY, PerditioCost))) {\n/* */ \n/* 197 */ EntityLivingBase randomEntity = null;\n/* */ \n/* 199 */ if (entities.size() > 0) {\n/* 200 */ randomEntity = entities.get((int)(entities.size() * Math.random()));\n/* */ }\n/* 202 */ if ((((randomEntity != null) ? 1 : 0) & (!player.worldObj.isRemote ? 1 : 0)) != 0) {\n/* */ \n/* 204 */ float soulDamage = randomEntity.getMaxHealth() / RelicsConfigHandler.soulTomeDivisor;\n/* */ \n/* 206 */ if (soulDamage > 20.0F) {\n/* 207 */ soulDamage = 20.0F;\n/* 208 */ } else if (soulDamage < 1.0F) {\n/* 209 */ soulDamage = 1.0F;\n/* */ } \n/* 211 */ randomEntity.attackEntityFrom((DamageSource)new DamageRegistryHandler.DamageSourceSoulDrain((Entity)player), soulDamage);\n/* 212 */ spawnSoul(player.worldObj, randomEntity, (EntityLivingBase)player);\n/* */ } \n/* */ } \n/* */ }","@EventHandler\n public void onEntityShootBowEvent(final EntityShootBowEvent event) {\n \tif (SheepWarsPlugin.getVersionManager().getVersion().equals(MinecraftVersion.v1_8_R3))\n \t\tevent.getProjectile().setVelocity(event.getProjectile().getVelocity());\n }","public void updateVelocity(){\r\n if (getPosition().x <= 0 || getPosition().x >= GameBoard.MAX_X) {\r\n setVelocity(getVelocity().add(getVelocity().mul(reverse)));\r\n }\r\n }","private Vector3f getOrbitalVelocity(CelestialEntity entity1, CelestialEntity entity2) {\r\n\t\tVector3f p1 = entity1.getPosition();\r\n\t\tVector3f p2 = entity2.getPosition();\r\n\t\tfloat m1 = entity1.getMass();\r\n\t\tfloat m2 = entity2.getMass();\r\n\t\tVector3f r = Vector3f.sub(p2, p1);\r\n\t\t\r\n\t\tVector3f velocity = new Vector3f();\r\n\t\t// Perpendicular vector in the x-z plane\r\n\t\tvelocity.x = -r.z;\r\n\t\tvelocity.z = r.x;\r\n\t\t// Calculate velocity magnitude (speed)\r\n\t\tdouble distance = r.magnitude();\r\n\t\tdouble speed = Math.sqrt(Constants.G * (m1 + m2) / distance);\r\n\t\tvelocity.setMagnitude((float) speed);\r\n\t\t\r\n\t\treturn velocity;\r\n\t}","public void onUpdate()\n {\n super.onUpdate();\n this.jumpMovementFactor = 0.0F;\n this.renderYawOffset = this.rotationPitch = this.rotationYaw = 0.0F;\n\n if (this.target != null && this.target instanceof EntityLiving)\n {\n EntityLiving var1 = (EntityLiving) this.target;\n\n if (var1.getHealth() <= 0 || !this.canEntityBeSeen(var1))\n {\n this.target = null;\n this.stop();\n this.moveTimer = 0;\n return;\n }\n } else\n {\n if (this.target != null && this.target.isDead)\n {\n this.target = null;\n this.stop();\n this.moveTimer = 0;\n return;\n }\n\n if (this.target == null)\n {\n this.target = this.worldObj.getClosestPlayerToEntity(this, -1.0D);\n\n if (this.target == null)\n {\n this.target = null;\n this.stop();\n this.moveTimer = 0;\n\n if (!this.worldObj.isRemote)\n {\n this.setDead();\n }\n\n return;\n }\n }\n }\n\n if (this.posX == (double) this.getOrgX() && this.posY == (double) this.getOrgY() && this.posZ == (double) this.getOrgZ())\n {\n if (!this.isReformed())\n {\n this.setReformed(true);\n }\n\n this.stop();\n this.moveTimer = 0;\n }\n\n if (this.slider == null)\n {\n Vec3 var16 = Vec3.createVectorHelper(this.posX, this.posY, this.posZ);\n Vec3 var2 = Vec3.createVectorHelper(this.posX + this.motionX, this.posY + this.motionY, this.posZ + this.motionZ);\n MovingObjectPosition var18 = this.worldObj.rayTraceBlocks(var16, var2);\n var16 = Vec3.createVectorHelper(this.posX, this.posY, this.posZ);\n var2 = Vec3.createVectorHelper(this.posX + this.motionX, this.posY + this.motionY, this.posZ + this.motionZ);\n\n if (var18 != null)\n {\n var2 = Vec3.createVectorHelper(var18.hitVec.xCoord, var18.hitVec.yCoord, var18.hitVec.zCoord);\n }\n\n if (!this.worldObj.isRemote)\n {\n Object var4 = null;\n List var15 = this.worldObj.getEntitiesWithinAABBExcludingEntity(this, this.boundingBox.addCoord(this.motionX, this.motionY, this.motionZ).expand(4.0D, 4.0D, 4.0D));\n double var6 = 0.0D;\n\n for (int var8 = 0; var8 < var15.size(); ++var8)\n {\n Entity var9 = (Entity) var15.get(var8);\n\n if (var9.canBeCollidedWith() && var9 != this)\n {\n float var10 = 0.3F;\n\n if (var9 instanceof EntitySlider)\n {\n this.slider = (EntitySlider) var9;\n var18 = null;\n }\n\n AxisAlignedBB var11 = var9.boundingBox.expand((double) var10, (double) var10, (double) var10);\n MovingObjectPosition var12 = var11.calculateIntercept(var16, var2);\n\n if (var12 != null)\n {\n double var13 = var16.distanceTo(var12.hitVec);\n\n if (var13 < var6 || var6 == 0.0D)\n {\n var6 = var13;\n }\n }\n }\n }\n }\n\n if (this.slider == null || this.slider.isDead)\n {\n this.target = null;\n this.stop();\n this.moveTimer = 0;\n\n if (!this.worldObj.isRemote)\n {\n this.setDead();\n }\n }\n } else if (this.slider.target != this.target)\n {\n this.target = null;\n this.stop();\n this.moveTimer = 0;\n\n if (!this.worldObj.isRemote)\n {\n this.setDead();\n }\n } else\n {\n this.fallDistance = 0.0F;\n double var17;\n double var5;\n double var3;\n\n if (this.gotMovement)\n {\n if (this.isCollided)\n {\n var17 = this.posX - 0.5D;\n var3 = this.boundingBox.minY + 0.75D;\n var5 = this.posZ - 0.5D;\n\n if (this.crushed)\n {\n this.worldObj.playSoundEffect(this.posX, this.posY, this.posZ, \"random.explode\", 3.0F, (0.625F + (this.worldObj.rand.nextFloat() - this.worldObj.rand.nextFloat()) * 0.2F) * 0.7F);\n this.worldObj.playSoundAtEntity(this, \"aeboss.slider.collide\", 2.5F, 1.0F / (this.rand.nextFloat() * 0.2F + 0.9F));\n }\n\n this.stop();\n } else\n {\n if (this.speedy < 2.0F)\n {\n this.speedy += 0.035F;\n }\n\n this.motionX = 0.0D;\n this.motionY = 0.0D;\n this.motionZ = 0.0D;\n\n if (this.direction == 0)\n {\n this.motionY = (double) this.speedy;\n\n if (this.boundingBox.minY > (this.reform ? (double) this.getOrgY() : this.target.boundingBox.minY + 0.35D))\n {\n this.stop();\n this.moveTimer = 8;\n }\n } else if (this.direction == 1)\n {\n this.motionY = (double) (-this.speedy);\n\n if (this.boundingBox.minY < (this.reform ? (double) this.getOrgY() : this.target.boundingBox.minY - 0.25D))\n {\n this.stop();\n this.moveTimer = 8;\n }\n } else if (this.direction == 2)\n {\n this.motionX = (double) this.speedy;\n\n if (this.posX > (this.reform ? (double) this.getOrgX() - 1.0D : this.target.posX + 0.125D))\n {\n this.stop();\n this.moveTimer = 8;\n }\n } else if (this.direction == 3)\n {\n this.motionX = (double) (-this.speedy);\n\n if (this.posX < (this.reform ? (double) this.getOrgX() - 1.0D : this.target.posX - 0.125D))\n {\n this.stop();\n this.moveTimer = 8;\n }\n } else if (this.direction == 4)\n {\n this.motionZ = (double) this.speedy;\n\n if (this.posZ > (this.reform ? (double) this.getOrgZ() - 1.0D : this.target.posZ + 0.125D))\n {\n this.stop();\n this.moveTimer = 8;\n }\n } else if (this.direction == 5)\n {\n this.motionZ = (double) (-this.speedy);\n\n if (this.posZ < (this.reform ? (double) this.getOrgZ() - 1.0D : this.target.posZ - 0.125D))\n {\n this.stop();\n this.moveTimer = 8;\n }\n }\n }\n } else\n {\n this.motionY = 0.0D;\n\n if (this.moveTimer > 0)\n {\n --this.moveTimer;\n this.motionX = 0.0D;\n this.motionY = 0.0D;\n this.motionZ = 0.0D;\n } else\n {\n var17 = Math.abs(this.posX - (this.reform ? (double) this.getOrgX() : this.target.posX));\n var3 = Math.abs(this.boundingBox.minY - (this.reform ? (double) this.getOrgY() : this.target.boundingBox.minY));\n var5 = Math.abs(this.posZ - (this.reform ? (double) this.getOrgZ() : this.target.posZ));\n\n if (var17 > var5)\n {\n this.direction = 2;\n\n if (this.posX > (this.reform ? (double) this.getOrgX() - 1.0D : this.target.posX))\n {\n this.direction = 3;\n }\n } else\n {\n this.direction = 4;\n\n if (this.posZ > (this.reform ? (double) this.getOrgZ() - 1.0D : this.target.posZ))\n {\n this.direction = 5;\n }\n }\n\n if (var3 > var17 && var3 > var5 || var3 > 0.25D && this.rand.nextInt(5) == 0)\n {\n this.direction = 0;\n\n if (this.posY > (this.reform ? (double) this.getOrgY() : this.target.posY))\n {\n this.direction = 1;\n }\n }\n\n this.gotMovement = true;\n }\n }\n\n if (this.harvey > 0.01F)\n {\n this.harvey *= 0.8F;\n }\n }\n }","public void applyVelocityChange(final Vector2f velocityChange);","public void onEntityMove(Entity entity) {\n\n }","private void trackPosition(Entity entity, Node node) {\n // TODO = tweak this slightly to remove items from the equipped inventory?\n GridPane.setColumnIndex(node, entity.getX());\n GridPane.setRowIndex(node, entity.getY());\n\n ChangeListener<Number> xListener = new ChangeListener<Number>() {\n @Override\n public void changed(ObservableValue<? extends Number> observable, Number oldValue, Number newValue) {\n GridPane.setColumnIndex(node, newValue.intValue());\n }\n };\n ChangeListener<Number> yListener = new ChangeListener<Number>() {\n @Override\n public void changed(ObservableValue<? extends Number> observable, Number oldValue, Number newValue) {\n GridPane.setRowIndex(node, newValue.intValue());\n }\n };\n\n // if need to remove items from the equipped inventory, add code to remove from\n // equipped inventory gridpane in the .onDetach part\n ListenerHandle handleX = ListenerHandles.createFor(entity.x(), node)\n .onAttach((o, l) -> o.addListener(xListener)).onDetach((o, l) -> {\n o.removeListener(xListener);\n entityImages.remove(node);\n squares.getChildren().remove(node);\n cards.getChildren().remove(node);\n equippedItems.getChildren().remove(node);\n unequippedInventory.getChildren().remove(node);\n }).buildAttached();\n ListenerHandle handleY = ListenerHandles.createFor(entity.y(), node)\n .onAttach((o, l) -> o.addListener(yListener)).onDetach((o, l) -> {\n o.removeListener(yListener);\n entityImages.remove(node);\n squares.getChildren().remove(node);\n cards.getChildren().remove(node);\n equippedItems.getChildren().remove(node);\n unequippedInventory.getChildren().remove(node);\n }).buildAttached();\n handleX.attach();\n handleY.attach();\n\n // this means that if we change boolean property in an entity tracked from here,\n // position will stop being tracked\n // this wont work on character/path entities loaded from loader classes\n entity.shouldExist().addListener(new ChangeListener<Boolean>() {\n @Override\n public void changed(ObservableValue<? extends Boolean> obervable, Boolean oldValue, Boolean newValue) {\n handleX.detach();\n handleY.detach();\n }\n });\n }","@Override\n public void update() {\n for (Integer i : arrAttack) {\n //System.out.println(scene.entityManager.getEntityByID(i).getName());\n\n //if the weapon has not a -1\n if (scene.entityManager.getEntityComponentInstance(i, Tool.class).currentActive != - 1) {\n\n ArrayList<AttackCollider> arrColliders = scene.entityManager.getEntityComponentInstance(i, attackComponent.getClass()).arrColliders;\n\n //Check if it collides with a collidable entity\n for (Integer j : arrCollidable) {\n //if they are not the same and i is not a weapon of j, and if j is alive\n if (!Objects.equals(i, j) && !isWeaponOf(i, j) && scene.entityManager.getEntityComponentInstance(j, Playable.class).isAlive) {\n\n //for each collider that collides with the entity\n for (AttackCollider k : checkAttack(i, j)) {\n //Do something to the collidable entity\n executeAttack(i, j);\n }\n }\n }\n }\n }\n initializeEntities();\n }","public void moveTowards(){\n \n \n \n if(!exploded){\n \n \n move(speed);\n \n if(isTouching(Enemy.class)){\n move(explosionRadius); \n \n inRange = (ArrayList) getObjectsInRange(explosionRadius + 25, Enemy.class);\n for(Enemy e : inRange){\n e.hit(damage);\n }\n \n //explode\n exploded = true;\n \n image = new GreenfootImage(\"50x50 aoe.png\");\n image.scale(explosionRadius*2, explosionRadius*2);\n setImage(image);\n //getWorld().removeObject(this);\n }\n else if (isAtEdge())\n {\n getWorld().removeObject(this);\n }\n else if ( radius < distance) {\n getWorld().removeObject(this); \n }\n }\n else{\n setImage(image);\n image.setTransparency(image.getTransparency() - 5);\n if(image.getTransparency() <= 0) getWorld().removeObject(this);\n }\n }","protected void calcVelocity()\n\t{}","void effect(Entity e, BoardPosition bp);","private void updateVelocity() {\n\t \t//Update x velocity\n\t \tif (getNode().getTranslateX() > MAX_SPEED_X) {\n\t \t\tsetvX(MAX_SPEED_X);\n\t \t} else if (getNode().getTranslateX() < -MAX_SPEED_X) {\n\t \t\tsetvX(-MAX_SPEED_X);\n\t } else {\n\t \t\tsetvX(getNode().getTranslateX());\n\t \t}\n\n\t \t//Update x velocity\n\t \tif (getNode().getTranslateY() > MAX_SPEED_Y) {\n\t \t\tsetvY(MAX_SPEED_Y);\n\t \t} else if (getNode().getTranslateY() < -MAX_SPEED_Y) {\n\t \t\tsetvY(-MAX_SPEED_Y);\n\t \t} else {\n\t \t\tsetvY(getNode().getTranslateY());\n\t \t}\n\t }","public void onUpdate()\n {\n this.prevPosX = this.posX;\n this.prevPosY = this.posY;\n this.prevPosZ = this.posZ;\n this.motionY -= 0.03999999910593033D;\n this.moveEntity(this.motionX, this.motionY, this.motionZ);\n this.motionX *= 0.9800000190734863D;\n this.motionY *= 0.9800000190734863D;\n this.motionZ *= 0.9800000190734863D;\n\n if (this.onGround)\n {\n this.motionX *= 0.699999988079071D;\n this.motionZ *= 0.699999988079071D;\n this.motionY *= -0.5D;\n }\n\n if (this.fuse-- <= 0)\n {\n if (!this.worldObj.isRemote)\n {\n this.setDead();\n this.explode();\n }\n } else\n {\n this.worldObj.spawnParticle(\"smoke\", this.posX, this.posY + 0.5D, this.posZ, 0.0D, 0.0D, 0.0D);\n }\n }","private void UpdateVelocity()\n\t{\n\t\tVector2 currentPosition = new Vector2(parent.transform.position);\n\t\tVector2 newVelocity = Vector2.Add(currentPosition,previousPosition.negate());\n\t\tpreviousPosition = currentPosition;\n\t\t\n\t\tfloat currentRotation = parent.transform.rotation;\n\t\tangularVelocity = currentRotation - previousRotation;\n\t\tpreviousRotation = currentRotation;\n\t\t\n\t\tvelocity = newVelocity;\n\t}","public void update(){\n velX *= damp;\n velY *= damp;\n posX += velX;\n posY += velY;\n }","private void bounceOffVerticalWall() {\n vx = -vx;\n }","@Override\n public void update(Entity entity, MapManager mapMgr, float delta) {\n\n updateBoundingBoxPosition(nextEntityPosition);\n updatePortalLayerActivation(mapMgr);\n\n if (!isCollisionWithMapLayer(entity, mapMgr) && (!isCollision(entity, mapMgr)) && state == Entity.State.WALKING) {\n setNextPositionToCurrent(entity, mapMgr, delta);\n Camera camera = mapMgr.getCamera();\n camera.position.set(currentEntityPosition.x, currentEntityPosition.y, 0f);\n camera.update();\n } else {\n updateBoundingBoxPosition(currentEntityPosition);\n //if direction key has been lifted stop moving\n\n //TODO bug where if player is walking against a wall switching direction\n //TODO will not break out of the walk\n /*if(motion == Entity.Motion.STANDING)\n {\n entity.sendMessage(MESSAGE.CURRENT_STATE, json.toJson(Entity.State.IDLE));\n }*/\n }\n\n if (isMining) {\n tileToMine = getFacingTile(entity,mapMgr);\n entity.sendMessage(MESSAGE.MINING_GRAPHICS, json.toJson(tileToMine));\n isMining = false;\n }\n if (motion == Entity.Motion.STANDING) {\n //only call calculate position once\n calculateNextPosition(delta);\n }\n tileToMine = getFacingTile(entity, mapMgr);\n //System.out.print(\"Tile x \" + tileToMine.x + \"Tile Y \" + tileToMine.y);\n }","public static void updatePosition() {\n\t\tfor (int i = 0; i < TitanV4.planets.length; i++) { //compute forces between all celestial corpses\n\t\t\tfor(int j=i; j<TitanV4.planets.length; j++){\n\t\t\t\tif (i != j) {\n\t\t\t\t\tdouble upper = TitanV4.G*TitanV4.planets[i].getMass() * TitanV4.planets[j].getMass();\n\t\t\t\t\tdouble lower = TitanV4.planets[i].getPosition().distanceFrom(TitanV4.planets[j].getPosition());\n\t\t\t\t\tdouble gravitation = upper/lower;\n\t\t\t\t\tVector a = new Vector();\n\t\t\t\t\ta = TitanV4.planets[i].getPosition().substract(TitanV4.planets[j].getPosition()).normalize().multiply(-1);\n\n\t\t\t\t\tTitanV4.planets[i].force.add(a.multiply(gravitation));\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t//compute acceleration vector for each celestial corpse but the sun\n\t\tfor(int i=1; i<TitanV4.planets.length; i++){\n\t\t\tTitanV4.planets[i].acceleration = (TitanV4.planets[i].force.divide(TitanV4.planets[i].getMass()));\n\t\t}\n\n\t\t//calculate change in speed over deltaT\n\t\tfor(int i=1; i<TitanV4.planets.length; i++){\n\t\t\tVector oldVelocity = new Vector(TitanV4.planets[i].velocity);\n\t\t\tTitanV4.planets[i].velocity.add((TitanV4.planets[i].acceleration.multiply(TitanV4.deltaT)));\n\n\t\t\tVector posChange = new Vector();\n\t\t\tposChange = (oldVelocity.add(velocity).divide(2)).multiply(TitanV4.deltaT);\n\t\t\tTitanV4.planets[i].pos.add(posChange);\n\t\t}\n\t}","public void moveEntity(Entity entity) {\n\t\tIMoveBehaviour b = entity.getBehaviour();\n\t\tb.preMove();\n\t\t\n\t\tCollisionMask mask = entity.getBoundingArea();\n\t\tif (hitsWall(entity, mask)) {\n\t\t\tentity.hitWall();\n\t\t}\n\n\t\tmask.move(b.getSpeedVector());\n\n\t\tif (!entity.canMoveThroughWall()) {\n\t\t\tmoveWithinScreen(mask);\n\t\t}\n\t}","public void calculateVelocity(Planet3D other) {\n\t\tVec3d temp = new Vec3d(other);\n\t\ttemp.sub(this);\n\t\tSystem.out.println(\"\\n[other]-[this]=[new dir] == [\"+other.x+\",\"+other.y+\",\"+other.z+\"]-[\"+this.x+\",\"+this.y+\",\"+this.z+\"]=[\"+temp.x+\",\"+temp.y+\",\"+temp.z+\"]\");\n\t\tdouble force=forceCalc(other.getMass(), temp.length());\n\t\ttemp.normalize();\n//\t\tSystem.out.println(\", and direction between is this:(\"+temp.x+\",\"+temp.y+\",\"+temp.z+\"),\\nthe other planet has a mass of \"+other.getMass());\n//\t\tSystem.out.println(\"the force added to the vector is:\"+(Math.abs(force)));\n\t\ttemp.mul(force);\t\n\t\tvelocity.sub(temp);\n\t\t\t\n\t}","@Override\n\tpublic void live(long _dt) {\n\t\tList<IPerceivable> surroundingEntities = getPerceptions();\n\n\t\tVector2f newDirection = decide(surroundingEntities);\n\n\t\tmove(newDirection);\n\n\t}","@Override\n public void update(float delta) {\n // Make sure to COPY the vector and not copy the reference\n position = new Vector3f(entity.getPosition()).add(offset);\n }","public void collide(Entity entity) throws IllegalArgumentException{\n\t \n \tif (this instanceof Ship && entity instanceof Ship) this.defaultCollide(entity);\n \telse if (this instanceof MinorPlanet && entity instanceof MinorPlanet) this.defaultCollide(entity);\n \telse if (entity instanceof Bullet) {\n \t\tBullet bullet = (Bullet) entity;\n \t\tif (bullet.getBulletSource() == this) bullet.bulletCollideOwnShip((Ship) this);\n \t\telse bullet.bulletCollideSomethingElse(this);\n \t\t}\n \t\n \telse if (this instanceof Bullet) {\n \t\tBullet bullet = (Bullet) this;\n \t\tif (bullet.getBulletSource() == entity) bullet.bulletCollideOwnShip((Ship) entity);\n \t\telse bullet.bulletCollideSomethingElse(entity);\n \t\t}\n \t\n \telse if ((this instanceof Ship && entity instanceof Asteroid) || (entity instanceof Ship && this instanceof Asteroid)){\n \t\tShip ship = null;\n \t\tif (this instanceof Ship){\n \t\t\tship = (Ship) this;\n \t\t} else {\n \t\t\tship = (Ship) entity;\n \t\t}\n \t\tship.terminate();\n \t}\n \t\n \telse if ((this instanceof Ship && entity instanceof Planetoid) || (entity instanceof Ship && this instanceof Planetoid)){\n \t\tShip ship = null;\n \t\tif (this instanceof Ship){\n \t\t\tship = (Ship) this;\n \t\t} else {\n \t\t\tship = (Ship) entity;\n \t\t}\n \t\t\n \t\tWorld world = ship.getSuperWorld();\n \t\tdouble xnew = Helper.randomInBetween(this.getRadius(), world.getWorldWidth());\n \t\tdouble ynew = Helper.randomInBetween(this.getRadius(), world.getWorldHeight());\n \t\tship.setPosition(xnew, ynew);\n \t\t\n \t\twhile (! this.overlapAnyEntity()){\n \t\t\txnew = Helper.randomInBetween(this.getRadius(), world.getWorldWidth());\n \t\t\tynew = Helper.randomInBetween(this.getRadius(), world.getWorldHeight());\n \t\t\tship.setPosition(xnew, ynew);\n \t\t\t}\n \t}\n\t \t\n \t\n }","public void update(){\n posX += velX;\n posY += velY;\n }","@Override\n\tpublic void travel(float strafe, float vertical, float forward) {\n\t\tif (this.isInWater()) {\n\t\t\tthis.moveRelative(strafe, vertical, forward, 0.02F);\n\t\t\tthis.move(MoverType.SELF, this.motionX, this.motionY, this.motionZ);\n\t\t\tthis.motionX *= 0.800000011920929D;\n\t\t\tthis.motionY *= 0.800000011920929D;\n\t\t\tthis.motionZ *= 0.800000011920929D;\n\t\t} else if (this.isInLava()) {\n\t\t\tthis.moveRelative(strafe, vertical, forward, 0.02F);\n\t\t\tthis.move(MoverType.SELF, this.motionX, this.motionY, this.motionZ);\n\t\t\tthis.motionX *= 0.5D;\n\t\t\tthis.motionY *= 0.5D;\n\t\t\tthis.motionZ *= 0.5D;\n\t\t} else {\n\t\t\tfloat f = 0.91F;\n\n\t\t\tif (this.onGround) {\n\t\t\t\t//f = this.world.getBlockState(new BlockPos(MathHelper.floor(this.posX), MathHelper.floor(this.getEntityBoundingBox().minY) - 1, MathHelper.floor(this.posZ))).getBlock().slipperiness * 0.91F;\n\t\t\t\tBlockPos underPos = new BlockPos(MathHelper.floor(this.posX), MathHelper.floor(this.getEntityBoundingBox().minY) - 1, MathHelper.floor(this.posZ));\n\t\t\t\tIBlockState underState = this.world.getBlockState(underPos);\n\t\t\t\tf = underState.getBlock().getSlipperiness(underState, this.world, underPos, this) * 0.91F;\n\t\t\t}\n\n\t\t\tfloat f1 = 0.16277136F / (f * f * f);\n\t\t\tthis.moveRelative(strafe, vertical, forward, this.onGround ? 0.1F * f1 : 0.02F);\n\t\t\tf = 0.91F;\n\n\t\t\tif (this.onGround) {\n\t\t\t\t//f = this.world.getBlockState(new BlockPos(MathHelper.floor(this.posX), MathHelper.floor(this.getEntityBoundingBox().minY) - 1, MathHelper.floor(this.posZ))).getBlock().slipperiness * 0.91F;\n\t\t\t\tBlockPos underPos = new BlockPos(MathHelper.floor(this.posX), MathHelper.floor(this.getEntityBoundingBox().minY) - 1, MathHelper.floor(this.posZ));\n\t\t\t\tIBlockState underState = this.world.getBlockState(underPos);\n\t\t\t\tf = underState.getBlock().getSlipperiness(underState, this.world, underPos, this) * 0.91F;\n\t\t\t}\n\n\t\t\tthis.move(MoverType.SELF, this.motionX, this.motionY, this.motionZ);\n\t\t\tthis.motionX *= (double)f;\n\t\t\tthis.motionY *= (double)f;\n\t\t\tthis.motionZ *= (double)f;\n\t\t}\n\n\t\tthis.prevLimbSwingAmount = this.limbSwingAmount;\n\t\tdouble d1 = this.posX - this.prevPosX;\n\t\tdouble d0 = this.posZ - this.prevPosZ;\n\t\tfloat f2 = MathHelper.sqrt(d1 * d1 + d0 * d0) * 4.0F;\n\n\t\tif (f2 > 1.0F) {\n\t\t\tf2 = 1.0F;\n\t\t}\n\n\t\tthis.limbSwingAmount += (f2 - this.limbSwingAmount) * 0.4F;\n\t\tthis.limbSwing += this.limbSwingAmount;\n\t}","public void act(){\n if (alive) {\n x = x + vx * dt;\n vx = vx * (1. - daempfung); //Luftwiderstand, eventuell muss dass nur in der Spielerklasse implementiert\n //werden, damit die Pilze nicht abgebremst werden.\n if (bewegung == Bewegung.fallen) {\n y = y + vy * dt;\n vy = vy + g * dt;\n }\n }\n }","@Override\n\tpublic void updateEntity() {\n\t\t\n\t\tif (this.mobID != null && !this.worldObj.isRemote) {\n\t\t\t\n\t\t\tif (this.delay > 0) {\n\t\t\t\tthis.delay--;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t\n\t\t\tEntity entity = EntityList.createEntityByName(this.mobID, this.worldObj);\n\t\t\t\n\t\t\t// L'entity n'existe pas\n\t\t\tif (entity == null) {\n\t\t\t\tModGollumCoreLib.log.warning(\"This mob \"+this.mobID+\" isn't register\");\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t\n\t\t\tthis.worldObj.setBlockToAir(this.xCoord , this.yCoord , this.zCoord);\n\t\t\t\n\t\t\tdouble x = (double)this.xCoord + 0.5D;\n\t\t\tdouble y = (double)(this.yCoord);// + this.worldObj.rand.nextInt(3) - 1);\n\t\t\tdouble z = (double)this.zCoord + 0.5D;\n\t\t\tEntityLiving entityLiving = entity instanceof EntityLiving ? (EntityLiving)entity : null;\n\t\t\tentity.setLocationAndAngles(x, y, z, this.worldObj.rand.nextFloat() * 360.0F, this.worldObj.rand.nextFloat() * 360.0F);\n\t\t\tthis.worldObj.spawnEntityInWorld(entity);\n\t\t\t\n\t\t\tif (entityLiving == null || entityLiving.getCanSpawnHere()) {\n\t\t\t\t\n\t\t\t\tthis.worldObj.playSoundEffect (this.xCoord, this.yCoord, this.zCoord, \"dig.stone\", 0.5F, this.worldObj.rand.nextFloat() * 0.25F + 0.6F);\n\t\t\t\t\n\t\t\t\tif (entityLiving != null) {\n\t\t\t\t\tentityLiving.spawnExplosionParticle();\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}","@Override\n public void onLivingUpdate() {\n if (this.lastEntityToAttack != this.entityToAttack) {\n IAttributeInstance attribute = this.getEntityAttribute(SharedMonsterAttributes.movementSpeed);\n attribute.removeModifier(EntityEnderCreeper.attackingSpeedBoost);\n if (this.entityToAttack != null) {\n attribute.applyModifier(EntityEnderCreeper.attackingSpeedBoost);\n }\n }\n this.lastEntityToAttack = this.entityToAttack;\n\n for (int i = 0; i < 2; i++) {\n this.worldObj.spawnParticle(\"portal\", this.posX + (this.rand.nextDouble() - 0.5) * this.width, this.posY + this.rand.nextDouble() * this.height - 0.25, this.posZ + (this.rand.nextDouble() - 0.5) * this.width, (this.rand.nextDouble() - 0.5) * 2.0, -this.rand.nextDouble(), (this.rand.nextDouble() - 0.5) * 2.0);\n }\n if (this.worldObj.isDaytime() && !this.worldObj.isRemote) {\n float brightness = this.getBrightness(1.0F);\n if (brightness > 0.5F && this.worldObj.canBlockSeeTheSky((int)Math.floor(this.posX), (int)Math.floor(this.posY), (int)Math.floor(this.posZ)) && this.rand.nextFloat() * 30.0F < (brightness - 0.4F) * 2.0F) {\n this.entityToAttack = null;\n this.teleportRandomly();\n }\n }\n if (this.isWet()) {\n this.attackEntityFrom(DamageSource.drown, 1);\n this.entityToAttack = null;\n this.teleportRandomly();\n }\n this.isJumping = false;\n if (this.entityToAttack != null) {\n if (this.entityToAttack.getDistanceSqToEntity(this) < 9.0 && this.canEntityBeSeen(this.entityToAttack)) {\n this.setCreeperState(1);\n }\n else {\n this.setCreeperState(-1);\n }\n this.faceEntity(this.entityToAttack, 100.0F, 100.0F);\n }\n if (!this.worldObj.isRemote && this.isEntityAlive()) {\n if (this.entityToAttack != null) {\n if (this.entityToAttack instanceof EntityPlayer && this.shouldAttackPlayer((EntityPlayer)this.entityToAttack)) {\n if (this.getCreeperState() < 0 && this.entityToAttack.getDistanceSqToEntity(this) < 16.0) {\n this.teleportRandomly();\n }\n this.teleportDelay = 0;\n }\n else if (this.entityToAttack.getDistanceSqToEntity(this) > 256.0 && this.teleportDelay++ >= 30 && this.teleportToEntity(this.entityToAttack)) {\n this.teleportDelay = 0;\n }\n }\n else {\n this.teleportDelay = 0;\n }\n }\n super.onLivingUpdate();\n }","public void updateAccelerations(double xLimit, double yLimit) {\n // Loop all entities and update their accelerations in parallel\n entities.parallelStream().forEach(cur -> {\n int alignmentNeighbors = 0;\n int cohesionNeighbors = 0;\n int separationNeighbors = 0;\n Vector2D alignment = new Vector2D();\n Vector2D cohesion = new Vector2D();\n Vector2D separation = new Vector2D();\n\n // Use nearby entities to determinate forces\n for (Entity ee : entities) {\n if (ee == cur) continue;\n //if (cur.angleToEntity(ee) > detectionAngleBox.val/2) continue;\n double dist = Math.max(cur.distanceFrom(ee), 0.001);\n\n if (dist < alignmentDistanceBox.val) {\n alignmentNeighbors++;\n alignment.add(ee.getVelocity());\n }\n if (dist < cohesionDistanceBox.val) {\n cohesionNeighbors++;\n cohesion.add(ee.getPosition());\n }\n if (dist < separationDistanceBox.val) {\n separationNeighbors++;\n separation.add(new Vector2D(cur.getPosition()).subtract(ee.getPosition())\n .ensureDirection()\n .divide(dist*dist));\n }\n }\n\n if (alignmentNeighbors != 0)\n alignment\n .divide(alignmentNeighbors)\n .setMagnitude(maxSpeedBox.val)\n .subtract(cur.getVelocity())\n .limit(maxForceBox.val);\n if (cohesionNeighbors != 0)\n cohesion\n .divide(cohesionNeighbors)\n .subtract(cur.getPosition())\n .setMagnitude(maxSpeedBox.val)\n .subtract(cur.getVelocity())\n .limit(maxForceBox.val);\n if (separationNeighbors != 0)\n separation\n .divide(separationNeighbors)\n .setMagnitude(maxSpeedBox.val)\n .subtract(cur.getVelocity())\n .limit(maxForceBox.val);\n\n cur.getAcceleration()\n .add(alignment.multiply(alignmentMultiplierBox.val))\n .add(cohesion.multiply(cohesionMultiplierBox.val))\n .add(separation.multiply(separationMultiplierBox.val))\n .limit(maxSpeedBox.val);\n\n // Border force\n double bfX = cur.getX() < xLimit/2 ? 100/Math.pow(cur.getX(),2) : -100/Math.pow(xLimit - cur.getX(),2);\n double bfY = cur.getY() < yLimit/2 ? 100/Math.pow(cur.getY(),2) : -100/Math.pow(yLimit - cur.getY(),2);\n cur.getAcceleration().add(new Vector2D(bfX, bfY)).limit(maxSpeedBox.val);\n });\n }","@Override\n public void move(Entity e) {\n\n if (Collsiontick > 0) {\n Collsiontick--;\n }\n tick++;\n float deltax = x - player.x;\n float deltay = y - player.y;\n float speed = getSpeed();\n if(Math.abs(speed) < 0.1 && Collsiontick/50<=1){\n float theta = (float) (Math.atan(deltay / deltax) + Math.PI);\n xv = (float) ((TOP_SPEED * Math.cos(theta)));\n yv = (float) ((TOP_SPEED * Math.sin(theta)));\n if (deltax < 0) {\n xv = -xv;\n yv = -yv;\n }\n }\n \n xv = Util.doFrictionX(xv, yv, FRICTION);\n yv = Util.doFrictionY(xv, yv, FRICTION);\n \n \n x += xv;\n y += yv;\n\n shape = (Polygon) shape.transform(Transform.createTranslateTransform(xv, yv));\n }","public void onEntityWalking(World par1World, int par2, int par3, int par4, Entity par5Entity)\r\n {\r\n \ttry \r\n \t{\r\n \t\tEntityPlayer player = (EntityPlayer)par5Entity;\r\n \t\tplayer.addPotionEffect(new PotionEffect(Potion.resistance.id, 80, 20));\r\n \t\tplayer.setVelocity((player.posX - player.lastTickPosX)*20, 2.3, (player.posZ - player.lastTickPosZ)*20);\r\n \t}\r\n \tcatch(Exception e)\r\n \t{\r\n \t\t\r\n \t}\r\n \t\r\n }","private static void updateComponents(PhysicsGameObject obj, Vector3 position, Velocity velocity, Vector3 acceleration,double dt){\n float newX = (float) (position.x +(dt * velocity.Vx) + (dt*acceleration.x * dt / 2));\n float newY = (float) (position.y + (dt * velocity.Vy) + ( dt*acceleration.y * dt / 2));\n\n //v(t+h) = v(t) + h*a\n float newVelX = (float) (velocity.Vx + dt * acceleration.x );\n float newVelY = (float) (velocity.Vy + dt * acceleration.y );\n\n obj.setPositionX(newX);\n obj.setPositionY(newY);\n\n obj.setVelocityComponents(newVelX, newVelY);\n\n\n }","protected void updateParticles() {\n\n\t\tfor (int i = 0; i < particles.size(); i++) {\n\t\t\tVParticle p = particles.get(i);\n\t\t\tif (p.neighbors == null) {\n\t\t\t\tp.neighbors = particles;\n\t\t\t}\n\t\t\tfor (BehaviorInterface b : behaviors) {\n\t\t\t\tb.apply(p);\n\t\t\t}\n\t\t}\n\t\tfor (int i = 0; i < particles.size(); i++) {\n\t\t\tVParticle p = particles.get(i);\n\t\t\tp.scaleVelocity(friction);\n\t\t\tp.update();\n\t\t}\n\t}","@Override\r\n public void onEntityCollidedWithBlock(World worldIn, BlockPos pos, IBlockState state, Entity entityIn)\r\n {\r\n TileEntity tile = worldIn.getTileEntity(pos);\r\n if (tile instanceof TileEntityTransformer && entityIn instanceof EntityPlayer)\r\n {\r\n ((TileEntityTransformer) tile).onStepped((EntityPlayer) entityIn);\r\n }\r\n super.onEntityCollidedWithBlock(worldIn, pos, state, entityIn);\r\n }","public void update(float delta){\n\t\tposition.add(velocity.cpy().mul(delta));\n\t\tthis.bounds.setPosition(position.x, position.y);\n\t}","public void updateVelocity (Body[] bodies, int dt) {\n this.updateAcceleration(bodies);\n this.vx += 0.5 * (this.ax + this.axplusone) * dt;\n this.vy += 0.5 * (this.ay + this.ayplusone) * dt;\n }","public void update(float delta)\n {\n\n x = acceleration.x;\n y = acceleration.y;\n x = x * delta; //to scale by frame rate to keep things smooth\n y = y * delta;\n\n velocity.add(x, y); //sets new velocity\n\n if(velocity.y >350)\n {\n velocity.y = 350;\n //Gdx.app.log(\"Block\", \"MAX SPEED\");\n }\n\n x = velocity.x;\n y = velocity.y;\n x = x * delta;\n y = y * delta;\n\n position.add(x,y); //sets new position\n\n //position.add(velocity.cpy().scl(delta));\n\n rect.set(position.x, position.y, width,height);\n\n if(position.y > gameHeight) //determine if object is still on screen\n {\n isScrolled = true;\n }\n }","@Override\n\tprotected void processEntity(Entity entity, float deltaTime) {\n\t\t\n\t}","@Override\n public void update(Entity entity, MapManager mapMgr, float delta) {\n updateBoundingBoxPosition(_nextEntityPosition);\n updatePortalLayerActivation(mapMgr);\n if( _isMouseSelectEnabled ){\n selectMapEntityCandidate(mapMgr);\n _isMouseSelectEnabled = false;\n }\n\n if ( !isCollisionWithMapLayer(entity, mapMgr) &&\n !isCollisionWithMapEntities(entity, mapMgr) &&\n _state == Entity.State.WALKING){\n setNextPositionToCurrent(entity);\n Camera camera = mapMgr.getCamera();\n camera.position.set(_currentEntityPosition.x,\n _currentEntityPosition.y, 0f);\n camera.update();\n } else {\n updateBoundingBoxPosition(_currentEntityPosition);\n }\n calculateNextPosition(delta);\n }","public void renderTankPoints(List<GameCharacter> entities, GraphicsContext gc){\n for(BaseGameEntity e1: entities) renderTankPoint(e1,gc);\n }","void renderSeparately(Entity entity, float scale);","public void attack(Entity entity) {\n\t}","@Override\n public void update ( long t )\n {\n try\n { \n // Iterate through all entities, filtering by those that contain the specific set of components, that this system is intended to work with.\n \n for ( ECSEntity entity : engine.getEntities ().values () )\n { \n if ( entity.hasComponents ( transform, physics ) )\n { \n // Update physics simulation.\n \n updatePhysics ( entity, t );\n \n // Console logger.\n \n logger.log ();\n }\n } \n \n // Swap the double buffers.\n \n engine.swapBuffer ();\n }\n catch ( Exception e )\n { \n TextFormat.printFormattedException ( e, true );\n }\n }","@Override\n public void update() {\n \tif(++this.timeoutCounter < 5) { return; }\n \t\n \tList<EntityDog> dogList = this.world.getEntitiesWithinAABB(EntityDog.class, new AxisAlignedBB(this.pos.getX(), this.pos.getY() + 0.5D, this.pos.getZ(), this.pos.getX() + 1.0D, this.pos.getY() + 0.5D + 0.05000000074505806D, this.pos.getZ() + 1.0D).grow(5));\n\n \tfor(EntityDog dog : dogList) {\n \t\tdog.coords.setBowlPos(this.pos);\n \t\n \t\tint slotIndex = DogUtil.getFirstSlotWithFood(dog, this.inventory);\n \tif(dog.getDogHunger() < 60 && slotIndex >= 0)\n \t\tDogUtil.feedDog(dog, this.inventory, slotIndex);\n }\n \t\n \tthis.timeoutCounter = 0;\n }","public void boingg(Player player) {\n if (player.getCircle().getBoundsInParent().intersects(right.getBoundsInParent())) {\n\n if ((int) player.normalVelocityX == 0) {\n player.normalVelocityX = 4;\n } else {\n player.normalVelocityX = Math.abs(player.normalVelocityX) * springiness;\n }\n\n } else if (player.getCircle().getBoundsInParent().intersects(left.getBoundsInParent())) {\n if ((int) player.normalVelocityX == 0) {\n player.normalVelocityX = -4;\n } else {\n player.normalVelocityX = Math.abs(player.normalVelocityX) * -springiness;\n }\n } else {\n player.normalVelocityX *= springiness;\n }\n\n player.normalVelocityY *= -springiness;\n player.angularVelocity *= -springiness;\n \n rectangle.setFill(AssetManager.springSkin(false));\n\n }","public void tick() {\n\t\tfor (Entity e : entities) {\n\t\t\te.tick();\n\t\t}\n\t}","@SuppressWarnings(\"rawtypes\")\r\n\tpublic void actionPerformed(ActionEvent e) {\n\t\t// Bullet //\r\n\t\t////////////\r\n\t\tArrayList msDOWN = GameCraft.getBulletDOWN();\r\n\t\tfor (int i = 0; i < msDOWN.size(); i++) {\r\n\t\t\tBulletDOWN m = (BulletDOWN) msDOWN.get(i);\r\n\t\t\tif (m.isVisible()) \r\n\t\t\t\tm.moveDOWN();\r\n\t\t\telse msDOWN.remove(i);\r\n\t\t}\r\n\r\n\t\tArrayList msUP = GameCraft.getBulletUP();\r\n\t\tfor (int i = 0; i < msUP.size(); i++) {\r\n\t\t\tBulletUP m = (BulletUP) msUP.get(i);\r\n\t\t\tif (m.isVisible()) \r\n\t\t\t\tm.moveUP();\r\n\t\t\telse msUP.remove(i);\r\n\t\t}\r\n\r\n\t\tArrayList msLEFT = GameCraft.getBulletLEFT();\r\n\t\tfor (int i = 0; i < msLEFT.size(); i++) {\r\n\t\t\tBulletLEFT m = (BulletLEFT) msLEFT.get(i);\r\n\t\t\tif (m.isVisible()) \r\n\t\t\t\tm.moveLEFT();\r\n\t\t\telse msLEFT.remove(i);\r\n\t\t}\r\n\r\n\t\tArrayList msRIGHT = GameCraft.getBulletRIGHT();\r\n\t\tfor (int i = 0; i < msRIGHT.size(); i++) {\r\n\t\t\tBulletRIGHT m = (BulletRIGHT) msRIGHT.get(i);\r\n\t\t\tif (m.isVisible()) \r\n\t\t\t\tm.moveRIGHT();\r\n\t\t\telse msRIGHT.remove(i);\r\n\t\t}\r\n\t\t\r\n\t\tArrayList msEnemys = GameCraft.getEnemys();\r\n\t\tif(moveamount >= 150){\r\n\t\t\tfor (int i = 0; i < msEnemys.size(); i++) {\r\n\t\t\t\tEnemys m = (Enemys) msEnemys.get(i);\r\n\t\t\t\tif (m.isVisible()){\r\n\t\t\t\t\tm.moveMe();\r\n\t\t\t\t}else{ \r\n\t\t\t\t\tmsEnemys.remove(i);\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tmoveamount = 0;\r\n\t\t}\r\n\t\tmoveamount++;\r\n\t\t\r\n\t\t\r\n\t\t\r\n\t\tfor(int a = 0; a < msDOWN.size(); a++){\r\n\t\t\tfor(int b = 0; b < msEnemys.size(); b++){\r\n\t\t\t\tBulletDOWN bdown = (BulletDOWN) msDOWN.get(a);\r\n\t\t\t\tEnemys enemy = (Enemys) msEnemys.get(b);\r\n\t\t\t\tint xbul = bdown.getX();\r\n\t\t\t\tint ybul = bdown.getY();\r\n\t\t\t\tint xenemy = enemy.getX();\r\n\t\t\t\tint yenemy = enemy.getY();\r\n\t\t\t\t\r\n\t\t\t\tif((xbul - xenemy < 20 && xbul - xenemy > -20) && ( ybul - yenemy < 20 && xbul - yenemy > -20)){\r\n\t\t\t\t\tenemy.visible = false;\r\n\t\t\t\t\tscoreamount++;\r\n\t\t\t\t\t//GameCraft.SpawnEnemys();\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\tfor(int a = 0; a < msRIGHT.size(); a++){\r\n\t\t\tfor(int b = 0; b < msEnemys.size(); b++){\r\n\t\t\t\tBulletRIGHT bright = (BulletRIGHT) msRIGHT.get(a);\r\n\t\t\t\tEnemys enemy = (Enemys) msEnemys.get(b);\r\n\t\t\t\tint xbul = bright.getX();\r\n\t\t\t\tint ybul = bright.getY();\r\n\t\t\t\tint xenemy = enemy.getX();\r\n\t\t\t\tint yenemy = enemy.getY();\r\n\t\t\t\t\r\n\t\t\t\tif((xbul - xenemy < 20 && xbul - xenemy > -20) && ( ybul - yenemy < 20 && xbul - yenemy > -20)){\r\n\t\t\t\t\tenemy.visible = false;\r\n\t\t\t\t\tscoreamount++;\r\n\t\t\t\t\t//GameCraft.SpawnEnemys();\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\tfor(int a = 0; a < msLEFT.size(); a++){\r\n\t\t\tfor(int b = 0; b < msEnemys.size(); b++){\r\n\t\t\t\tBulletLEFT bleft = (BulletLEFT) msLEFT.get(a);\r\n\t\t\t\tEnemys enemy = (Enemys) msEnemys.get(b);\r\n\t\t\t\tint xbul = bleft.getX();\r\n\t\t\t\tint ybul = bleft.getY();\r\n\t\t\t\tint xenemy = enemy.getX();\r\n\t\t\t\tint yenemy = enemy.getY();\r\n\t\t\t\t\r\n\t\t\t\tif((xbul - xenemy < 20 && xbul - xenemy > -20) && ( ybul - yenemy < 20 && xbul - yenemy > -20)){\r\n\t\t\t\t\tenemy.visible = false;\r\n\t\t\t\t\tscoreamount++;\r\n\t\t\t\t\t//GameCraft.SpawnEnemys();\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\tfor(int a = 0; a < msUP.size(); a++){\r\n\t\t\tfor(int b = 0; b < msEnemys.size(); b++){\r\n\t\t\t\tBulletUP bup = (BulletUP) msUP.get(a);\r\n\t\t\t\tEnemys enemy = (Enemys) msEnemys.get(b);\r\n\t\t\t\tint xbul = bup.getX();\r\n\t\t\t\tint ybul = bup.getY();\r\n\t\t\t\tint xenemy = enemy.getX();\r\n\t\t\t\tint yenemy = enemy.getY();\r\n\t\t\t\t\r\n\t\t\t\tif((xbul - xenemy < 20 && xbul - xenemy > -20) && ( ybul - yenemy < 20 && xbul - yenemy > -20)){\r\n\t\t\t\t\tenemy.visible = false;\r\n\t\t\t\t\tscoreamount++;\r\n\t\t\t\t\t//GameCraft.SpawnEnemys();\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\tEnemy 500 500\r\n\t\tBullet 510 510\r\n\t\t510 < 500 && 480 < 500 || 500 > 510 && 500 > 480\r\n\t\t500 > 320 && 500 > 380\r\n\t\t\r\n\t\t*/\r\n\t\t\r\n\t\t////////////\r\n\t\t// Bullet //\r\n\t\t////////////\r\n\t\tGameCraft.move();\r\n\t\trepaint(); \r\n\t}","public static void applyGravity() {\n\n\t\tfor (Ball b : Panel.balls) {\n\t\t\tb.setyVelocity(b.getyVelocity() + 2);\n\t\t}\n\t}","@Override\r\n\tpublic void onEntityHit(LivingEntity ent) {\n\t\tParUtils.createParticle(Particles.EXPLOSION, loc, 0, 0, 0, 1, 0);\r\n\t\tplaySound(Sound.ENTITY_DRAGON_FIREBALL_EXPLODE,loc,1,1);\r\n\t\tent.setVelocity(dir.multiply(speed));\r\n\t\tdamage(ent, 2, caster);\r\n\t}","List<Velocity> initialBallVelocities();","void move() {\n\t\tif (reachedEdge()) {\n\t\t\tvelocityX = velocityX * -1;\n\t\t\ty = y + 50;\n\t\t}\n\t\tif (reachedLeft()) {\n\t\t\tvelocityX = velocityX * -1;\n\t\t\ty = y + 50;\n\t\t}\n\n\t\tx = x + velocityX;\n\t}","public void onUsingTick(ItemStack stack, EntityLivingBase player, int count) {\n/* 108 */ List<EntityItem> stuff = EntityUtils.getEntitiesInRange(player.field_70170_p, player.field_70165_t, player.field_70163_u, player.field_70161_v, player, EntityItem.class, 10.0D);\n/* */ \n/* */ \n/* 111 */ if (stuff != null && stuff.size() > 0)\n/* */ {\n/* 113 */ for (EntityItem e : stuff) {\n/* 114 */ if (!e.field_70128_L) {\n/* */ \n/* 116 */ double d6 = e.field_70165_t - player.field_70165_t;\n/* 117 */ double d8 = e.field_70163_u - player.field_70163_u + (player.field_70131_O / 2.0F);\n/* 118 */ double d10 = e.field_70161_v - player.field_70161_v;\n/* 119 */ double d11 = MathHelper.func_76133_a(d6 * d6 + d8 * d8 + d10 * d10);\n/* 120 */ d6 /= d11;\n/* 121 */ d8 /= d11;\n/* 122 */ d10 /= d11;\n/* 123 */ double d13 = 0.3D;\n/* 124 */ e.field_70159_w -= d6 * d13;\n/* 125 */ e.field_70181_x -= d8 * d13 - 0.1D;\n/* 126 */ e.field_70179_y -= d10 * d13;\n/* 127 */ if (e.field_70159_w > 0.25D) e.field_70159_w = 0.25D; \n/* 128 */ if (e.field_70159_w < -0.25D) e.field_70159_w = -0.25D; \n/* 129 */ if (e.field_70181_x > 0.25D) e.field_70181_x = 0.25D; \n/* 130 */ if (e.field_70181_x < -0.25D) e.field_70181_x = -0.25D; \n/* 131 */ if (e.field_70179_y > 0.25D) e.field_70179_y = 0.25D; \n/* 132 */ if (e.field_70179_y < -0.25D) e.field_70179_y = -0.25D; \n/* 133 */ if (player.field_70170_p.field_72995_K) {\n/* 134 */ FXDispatcher.INSTANCE.crucibleBubble((float)e.field_70165_t + (player.field_70170_p.field_73012_v\n/* 135 */ .nextFloat() - player.field_70170_p.field_73012_v.nextFloat()) * 0.2F, (float)e.field_70163_u + e.field_70131_O + (player.field_70170_p.field_73012_v\n/* 136 */ .nextFloat() - player.field_70170_p.field_73012_v.nextFloat()) * 0.2F, (float)e.field_70161_v + (player.field_70170_p.field_73012_v\n/* 137 */ .nextFloat() - player.field_70170_p.field_73012_v.nextFloat()) * 0.2F, 0.33F, 0.33F, 1.0F);\n/* */ }\n/* */ } \n/* */ } \n/* */ }\n/* */ }","@Override\n\tpublic void enter(Entity entity) {\n\t\tOfDouble posStreamIter = rand.doubles(2, -WANDER_EXTENT, WANDER_EXTENT).iterator();\n\t\twanderGoal.set(posStreamIter.next().floatValue(),(float) posStreamIter.next().floatValue() );\n\t\tGdx.app.log(\"AI\", entity.toString() + \" heading to position \" + this.wanderGoal.toString());\n\t}","@EventHandler\r\n \tpublic void onEntityExplode(EntityExplodeEvent event) \r\n \t{\n \t\tif (event.getEntityType() == EntityType.PRIMED_TNT) \r\n \t\t{\r\n \t\t\tLocation eventLoc = event.getLocation();\r\n \t\t\tServer server = plugin.getServer();\r\n \t\t\t\r\n \t\t\t// Red towers\r\n \t\t\tif (redBuildings.DestroyBuilding(BuildingType.Tower, eventLoc))\r\n \t\t\t{\r\n \t\t\t\ttowerCounts.put(\"red\", redBuildings.BuildingsCount(BuildingType.Tower));\r\n\t\t\t\tserver.broadcastMessage(ChatColor.YELLOW + \"A \"+ ChatColor.RED + \"RED\" + ChatColor.YELLOW + \" Tower Has Been Destroyed! (\" + towerCounts.get(\"red\") + \" remaining)\");\r\n\r\n\t\t\t\t// Check if all towers are destroyed\r\n \t\t\t\t\r\n \t\t\t\tif (towerCounts.get(\"red\") == 0) \r\n \t\t\t\t\tserver.broadcastMessage(ChatColor.YELLOW + \"All \"+ ChatColor.RED + \"RED\" + ChatColor.YELLOW + \" Towers Are Destroyed! Defend the NEXUS!\");\r\n \t\t\t}\r\n \t\t\t\r\n \t\t\t// Blue Towers\r\n \t\t\tif (blueBuildings.DestroyBuilding(BuildingType.Tower, eventLoc))\r\n \t\t\t{\r\n \t\t\t\ttowerCounts.put(\"blue\", blueBuildings.BuildingsCount(BuildingType.Tower));\r\n\t\t\t\tserver.broadcastMessage(ChatColor.YELLOW + \"A \"+ ChatColor.BLUE + \"BLUE\" + ChatColor.YELLOW + \" Tower Has Been Destroyed! (\" + towerCounts.get(\"blue\") + \" remaining)\");\r\n \r\n \t\t\t\t// Check if all towers are destroyed\r\n \t\t\t\tif (towerCounts.get(\"blue\") == 0) \r\n \t\t\t\t\tserver.broadcastMessage(ChatColor.YELLOW + \"All \"+ ChatColor.BLUE + \"BLUE\" + ChatColor.YELLOW + \" Towers Are Destroyed! Defend the NEXUS!\");\r\n \t\t\t}\r\n \t\t\t\r\n \t\t\t\r\n \t\t\t// Nexus\r\n \t\t\tif (redBuildings.DestroyBuilding(BuildingType.Nexus, eventLoc))\r\n \t\t\t{\r\n \t\t\t\tserver.broadcastMessage(ChatColor.RED + \"The RED NEXUS Has Been Destroyed!\" + ChatColor.BLUE + \" BLUE WINS!\");\r\n \t\t\t}\r\n \t\t\telse if (blueBuildings.DestroyBuilding(BuildingType.Nexus, eventLoc))\r\n \t\t\t{\r\n \t\t\t\tserver.broadcastMessage(ChatColor.BLUE + \"The BLUE NEXUS Has Been Destroyed!\" + ChatColor.RED + \" RED WINS!\");\r\n \t\t\t}\r\n \t\t}\r\n \t\t\r\n \t}","@Override\n\tpublic void update()\n\t{\n\t\tsuper.update();\n\n\t\tcalcAcceleration();\n\t\tsetVelocity(Vector2D.add(getVelocity(), getAcceleration()));\n\n\t\tcalcVelocity();\n\t\tsetPosition(Vector2D.add(getPosition(), getVelocity()));\n\n\t\tbm.update(getPosition(), getWidth(), getHeight());\n\t}","public void onEntityCollidedWithBlock(World world, int x, int y, int z, Entity entity)\n {\n \tentity.setInWeb();\n entity.motionY *= this.m_SinkRate;\n }","private void jump() {\r\n\t\tvelocity = new Vector(velocity.getX(), 7.0);\r\n\t}","public void moveEntity(Entity entity, Direction direction, float delta) {\r\n float newX = entity.getX();\r\n float newY = entity.getY();\r\n\r\n float velocity = entity.getVelocity();\r\n float distanceCovered = velocity * delta;\r\n\r\n switch (direction) {\r\n case NORTH:\r\n newY = newY + distanceCovered;\r\n if(isColliding(newX, newY))\r\n return;\r\n\r\n if(entity instanceof Player)\r\n gameCamera.moveCameraVertically(newY);\r\n break;\r\n case EAST:\r\n newX = newX + distanceCovered;\r\n if(isColliding(newX, newY))\r\n return;\r\n\r\n if(entity instanceof Player)\r\n gameCamera.moveCameraHorizontally(newX);\r\n break;\r\n case WEST:\r\n newX = newX - distanceCovered;\r\n if(isColliding(newX, newY))\r\n return;\r\n\r\n if(entity instanceof Player)\r\n gameCamera.moveCameraHorizontally(newX);\r\n break;\r\n case SOUTH:\r\n newY = newY - distanceCovered;\r\n if(isColliding(newX, newY))\r\n return;\r\n\r\n if(entity instanceof Player)\r\n gameCamera.moveCameraVertically(newY);\r\n break;\r\n }\r\n\r\n //TODO: Increase performance (e.g. only check for items when actually changing layer position)\r\n Position tilePosition = Utils.toTilePosition(newX + 20, newY + 20);\r\n Optional<Map.Entry<Position, Item>> optMapItem = getMapItem(tilePosition.x, tilePosition.y);\r\n if(optMapItem.isPresent()) {\r\n Map.Entry<Position, Item> itemEntry = optMapItem.get();\r\n entity.getItems().add(itemEntry.getValue());\r\n gameItems.remove(itemEntry.getKey());\r\n }\r\n\r\n entity.setMoving(true);\r\n entity.setX(newX);\r\n entity.setY(newY);\r\n }","@Override\n\tpublic void execute(Entity entity, float deltaTime) {\n\t\tTransformComponent tc = transformMapper.get(entity);\n\t\tif(tc == null) {\n\t\t\tthrow new RuntimeException(\"State applied to entity without position.\");\n\t\t}\n\t\t\n\t\tVector2 diff = new Vector2(wanderGoal);\n\t\tdiff.sub(tc.position);\n\t\tif( diff.len2() <= SEEK_TOLERANCE*SEEK_TOLERANCE) {\n\t\t\t// If close enough, move into a new wander state.\n\t\t\tstateMachine.changeState(entity, new WanderState(entity, stateMachine));\n\t\t}\n\t\telse {\n\t\t\tPlayerControlComponent pcc = controlMapper.get(entity);\n\t\t\tpcc.shipControl.resetThrust();\n\t\t\t\n\t\t\t// Is the target in our front arc?\n\t\t\tfloat bearing = (diff.angle() - tc.rotation) % 360f;\n\t\t\tif( Math.abs(bearing) <= ARC_HALF_WIDTH) {\n\t\t\t\t// fire forward\n\t\t\t\tpcc.shipControl.setForwardThrust(1f);\n\t\t\t}\n\t\t\tif( bearing < -COURSE_TOLERANCE ) {\n\t\t\t\tpcc.shipControl.setCWThrust(1f);\n\t\t\t\t// turn left\n\t\t\t}\n\t\t\telse if( bearing > COURSE_TOLERANCE) {\n\t\t\t\tpcc.shipControl.setCCWThrust(1f);\n\t\t\t}\n\t\t}\n\t\t\n\t\t\n\t}","public void tick() {\n if (!isActive || !entities[0].canCollide || !entities[1].canCollide) {\n return;\n }\n\n rectangles[0].x = boundaries[0].x - 1;\n rectangles[1].x = boundaries[1].x - 1;\n rectangles[0].y = boundaries[0].y - 1;\n rectangles[1].y = boundaries[1].y - 1;\n\n isCollided = rectangles[0].intersects(rectangles[1]);\n\n if (isCollided && !firedEvent) {\n lastEvent = new EntityEntityCollisionEvent(this);\n onCollide();\n start(lastEvent);\n firedEvent = true;\n }\n if (!isCollided && firedEvent) {\n onCollisionEnd();\n end(lastEvent);\n firedEvent = false;\n }\n if (previouslyCollided != isCollided) {\n setBoundaryColors();\n }\n\n previouslyCollided = isCollided;\n }","public void preStep(float invDT) {\r\n\r\n\t\t// calculate the spring's vector (pointing from body1 to body2) and length\r\n\t\tspring = new Vector2f(body2.getPosition());\r\n\t\tspring.add(r2);\r\n\t\tspring.sub(body1.getPosition());\r\n\t\tspring.sub(r1);\r\n\t\tspringLength = spring.length();\r\n\t\t\r\n\t\t// the spring vector needs to be normalized for applyImpulse as well!\r\n\t\tspring.normalise();\r\n\t\t\r\n\t\t// calculate the spring's forces\r\n\t\t// note that although theoretically invDT could never be 0\r\n\t\t// but here it can\r\n\t\tfloat springConst;\r\n\t\t\r\n\t\tif ( springLength < minSpringSize || springLength > maxSpringSize ) { \r\n\t\t\t// Pre-compute anchors, mass matrix, and bias.\r\n\t\t\tMatrix2f rot1 = new Matrix2f(body1.getRotation());\r\n\t\t\tMatrix2f rot2 = new Matrix2f(body2.getRotation());\r\n\t\r\n\t\t\tr1 = MathUtil.mul(rot1,localAnchor1);\r\n\t\t\tr2 = MathUtil.mul(rot2,localAnchor2);\r\n\t\t\t\r\n\t\t\t// the mass normal or 'k'\r\n\t\t\tfloat rn1 = r1.dot(spring);\r\n\t\t\tfloat rn2 = r2.dot(spring);\r\n\t\t\tfloat kNormal = body1.getInvMass() + body2.getInvMass();\r\n\t\t\tkNormal += body1.getInvI() * (r1.dot(r1) - rn1 * rn1) + body2.getInvI() * (r2.dot(r2) - rn2 * rn2);\r\n\t\t\tmassNormal = 1 / kNormal;\r\n\t\t\t\r\n\t\t\t\r\n\t\t\t// The spring is broken so apply force to correct it\r\n\t\t\t// note that we use biased velocities for this\r\n\t\t\tfloat springImpulse =\r\n\t\t\t\tinvDT != 0 ? brokenSpringConst * (springLength - springSize) / invDT : 0;\r\n\t\t\t\r\n\t\t\tVector2f impulse = MathUtil.scale(spring, springImpulse);\r\n\t\t\tbody1.adjustBiasedVelocity(MathUtil.scale(impulse, body1.getInvMass()));\r\n\t\t\tbody1.adjustBiasedAngularVelocity((body1.getInvI() * MathUtil.cross(r1, impulse)));\r\n\r\n\t\t\tbody2.adjustBiasedVelocity(MathUtil.scale(impulse, -body2.getInvMass()));\r\n\t\t\tbody2.adjustBiasedAngularVelocity(-(body2.getInvI() * MathUtil.cross(r2, impulse)));\r\n\t\t\t\r\n\t\t\tisBroken = true;\r\n\t\t\treturn;\r\n\t\t\t\r\n\t\t} else if ( springLength < springSize ) {\r\n\t\t\tspringConst = compressedSpringConst;\r\n\t\t\tisBroken = false;\r\n\t\t} else { // if ( springLength >= springSize )\r\n\t\t\tspringConst = stretchedSpringConst;\r\n\t\t\tisBroken = false;\r\n\t\t}\r\n\t\t\r\n\t\tfloat springImpulse =\r\n\t\t\tinvDT != 0 ? springConst * (springLength - springSize) / invDT : 0;\r\n\r\n\t\t// apply the spring's forces\r\n\t\tVector2f impulse = MathUtil.scale(spring, springImpulse);\r\n\t\tbody1.adjustVelocity(MathUtil.scale(impulse, body1.getInvMass()));\r\n\t\tbody1.adjustAngularVelocity((body1.getInvI() * MathUtil.cross(r1, impulse)));\r\n\r\n\t\tbody2.adjustVelocity(MathUtil.scale(impulse, -body2.getInvMass()));\r\n\t\tbody2.adjustAngularVelocity(-(body2.getInvI() * MathUtil.cross(r2, impulse)));\r\n\t}","public static void collide (Planet p1, Planet p2, double dist, Vector vec){\n \n double cosVal = vec.xComponent/dist;\n double sinVal = vec.yComponent/dist;\n \n double P1CalcVelX = (2*p2.mass/(p1.mass+p2.mass)) * p2.xVel;\n double P1CalcVelY = (2*p2.mass/(p1.mass+p2.mass)) * p2.yVel;\n \n double xVelChangeP1 = Math.abs(cosVal * P1CalcVelX) + Math.abs(cosVal * P1CalcVelY);\n double yVelChangeP1 = Math.abs(sinVal * P1CalcVelX) + Math.abs(sinVal * P1CalcVelY);\n \n \n if (p1.xCoor < p2.xCoor){\n xVelChangeP1 = -xVelChangeP1;\n }\n \n if (p1.yCoor < p2.yCoor){\n yVelChangeP1 = -yVelChangeP1; \n }\n \n double P2CalcVelX = (2*p1.mass/(p1.mass+p2.mass)) * p1.xVel;\n double P2CalcVelY = (2*p1.mass/(p1.mass+p2.mass)) * p1.yVel;\n \n double xVelChangeP2 = Math.abs(cosVal * P2CalcVelX) + Math.abs(cosVal * P2CalcVelY);\n double yVelChangeP2 = Math.abs(sinVal * P2CalcVelX) + Math.abs(sinVal * P2CalcVelY);\n\n if (p2.xCoor < p1.xCoor){\n xVelChangeP2 = -xVelChangeP2;\n }\n\n if (p2.yCoor < p1.yCoor){\n yVelChangeP2 = -yVelChangeP2; \n }\n \n p1.changeVel(xVelChangeP1, yVelChangeP1);\n p2.changeVel(xVelChangeP2, yVelChangeP2);\n\n }","public void onUpdate() {\n/* 150 */ this.prevPosX = this.posX;\n/* 151 */ this.prevPosY = this.posY;\n/* 152 */ this.prevPosZ = this.posZ;\n/* */ \n/* 154 */ if (this.particleAge++ >= this.particleMaxAge)\n/* */ {\n/* 156 */ setDead();\n/* */ }\n/* */ \n/* 159 */ this.motionY -= 0.04D * this.particleGravity;\n/* 160 */ moveEntity(this.motionX, this.motionY, this.motionZ);\n/* 161 */ this.motionX *= 0.9800000190734863D;\n/* 162 */ this.motionY *= 0.9800000190734863D;\n/* 163 */ this.motionZ *= 0.9800000190734863D;\n/* */ \n/* 165 */ if (this.onGround) {\n/* */ \n/* 167 */ this.motionX *= 0.699999988079071D;\n/* 168 */ this.motionZ *= 0.699999988079071D;\n/* */ } \n/* */ }","public static void new_speed( Body body, double t ){\r\n body.currentState.vx = body.currentState.vx + body.currentState.ax * t; // new x velocity\r\n body.currentState.vy = body.currentState.vy + body.currentState.ay * t; // new y velocity\r\n body.currentState.vz = body.currentState.vz + body.currentState.az * t; // new z velocity\r\n }","@Override\n public void update() {\n y += velY;\n setRectHitBox();\n }","public void update() {\n if (!outOfBounds()) {\n super.move(dirVec.mul(ShadowDefend.getTimescale() * speed));\n }\n super.update();\n }","public void changeVel(double xV, double yV){ \n this.xVel += xV;\n this.yVel += yV;\n }","private void impulseTremplin(Part other, float velocity) {\n\t\t// Plus l'objet arrive avec une vitesse importante plus le tremplin l'expulsera haut\n\t\t// La velocity negative en x sert juste a donner un mouvement qui va plus vers la droite\n\t\t// a l'objet qui rencontre le tremplin (les valeurs ont ete trouvees en tatonnant)\n\t\tother.getEntity().applyImpulse(new Vector(-velocity / 4, 10f * (Math.abs(velocity) / 10)), null);\n\t}","public void applyEntityCollision(Entity var1)\n {\n if (this.gotMovement)\n {\n if (var1 instanceof EntitySentry || var1 instanceof EntityTrackingGolem || var1 instanceof EntitySliderHostMimic || var1 instanceof EntitySentryGuardian || var1 instanceof EntitySentryGolem || var1 instanceof EntityBattleSentry || var1 instanceof EntitySlider || var1 instanceof EntityMiniSlider)\n {\n return;\n }\n\n boolean var2 = var1.attackEntityFrom(DamageSource.causeMobDamage(this.slider), 6);\n\n if (var2 && var1 instanceof EntityLiving)\n {\n this.worldObj.playSoundAtEntity(this, \"aeboss.slider.collide\", 2.5F, 1.0F / (this.rand.nextFloat() * 0.2F + 0.9F));\n\n if (var1 instanceof EntityCreature || var1 instanceof EntityPlayer)\n {\n EntityLiving var3 = (EntityLiving) var1;\n var3.motionY += 0.35D;\n var3.motionX *= 2.0D;\n var3.motionZ *= 2.0D;\n }\n\n this.stop();\n }\n }\n }","private void generateMovementVector() {\r\n\r\n\t\t// load the cell's old targeting vector and target location\r\n\t\tCellMovementVector oldTargetingVector = me.getTargetingVector();\r\n\t\tnewTargetX = me.getTargetX();\r\n\t\tnewTargetY = me.getTargetY();\r\n\r\n\t\tString oldBehaviorType = me.getCurrBehavior(); // the behavior the cell had on the previous update\r\n\t\tString newBehaviorType = sourceBehavior.getBehaviorType(); // the behavior which this order will apply\r\n\r\n\t\t// depending on the movement-type behavior; calculate the new target coordinates\r\n\t\t// and vector\r\n\r\n\t\tif (newBehaviorType.equals(\"pursue\")) { // pursuit: move along a straight line to the target cell\r\n\r\n\t\t\t// for pursuit, simply set the target coordinates to the location of the target\r\n\t\t\t// cell\r\n\t\t\t// movement vector scalar remains at default (1)\r\n\t\t\tnewTargetX = target.getX();\r\n\t\t\tnewTargetY = target.getY();\r\n\r\n\t\t} else if (newBehaviorType.equals(\"wander\")) { // wander: generate a random vector using the current position\r\n\r\n\t\t\t// if we just started wandering or as we are approaching our last wander target,\r\n\t\t\t// choose a new random target location\r\n\t\t\t// also has a 15% chance to choose a new target location regardless, to prevent getting stuck\r\n\t\t\tif (!oldBehaviorType.equals(\"wander\") || oldTargetingVector.getMagnitude() < 5 || me.getRNG().nextInt(100) < 14) {\r\n\t\t\t\tnewTargetX = me.getX() + (me.getRNG().nextDouble() - 0.5) * 200;\r\n\t\t\t\tnewTargetY = me.getY() + (me.getRNG().nextDouble() - 0.5) * 200;\r\n\r\n\t\t\t} else if (oldBehaviorType.equals(\"wander\")) { // if we're already wandering, shuffle our destination\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// slightly\r\n\t\t\t\tnewTargetX = me.getTargetX() + (me.getRNG().nextDouble() - 0.5) * 6;\r\n\t\t\t\tnewTargetY = me.getTargetY() + (me.getRNG().nextDouble() - 0.5) * 6;\r\n\t\t\t}\r\n\r\n\t\t} else if (newBehaviorType.equals(\"evade\")) { // evasion: like pursuit, but in the opposite direction\r\n\r\n\t\t\t// target a point in the opposite direction of the threat\r\n\t\t\t// movement vector scalar default at 1\r\n\t\t\tnewTargetX = 2 * me.getX() - target.getX();\r\n\t\t\tnewTargetY = 2 * me.getY() - target.getY();\r\n\r\n\t\t} else if (newBehaviorType.equals(\"hunt\")) { // hunt: like pursuit, but with an extra large vector\r\n\r\n\t\t\t// target our victim, like with pursuit\r\n\t\t\tnewTargetX = target.getX();\r\n\t\t\tnewTargetY = target.getY();\r\n\t\t\t// but we can expend a burst of energy to chase them down\r\n\t\t\tvectorScalar = 3;\r\n\r\n\t\t} else if (newBehaviorType.equals(\"sleep\")) { // sleep: do nothing\r\n\t\t\t\r\n\t\t\tvectorScalar = 0;\r\n\t\t\t\r\n\t\t} else {\r\n\t\t\tSystem.out.println(\"WARNING: Unrecognized behavior: \" + newBehaviorType + \".\");\r\n\t\t}\r\n\r\n\t\t// correct the vector to avoid pointing out of the petri dish (leads to cell\r\n\t\t// stuck on wall)\r\n\t\tif (newTargetX < 15) {\r\n\t\t\tnewTargetX = 15;\r\n\t\t} else if (newTargetX > me.getPetri().getSimulationWidth() - 15) {\r\n\t\t\tnewTargetX = me.getPetri().getSimulationWidth() - 15;\r\n\t\t}\r\n\t\tif (newTargetY < 15) {\r\n\t\t\tnewTargetY = 15;\r\n\t\t} else if (newTargetY > me.getPetri().getSimulationHeight() - 15) {\r\n\t\t\tnewTargetY = me.getPetri().getSimulationHeight() - 15;\r\n\t\t}\r\n\r\n\t\tnewTargetingVector = me.getVectorToTarget(newTargetX, newTargetY); // if no changes were made to the targetX and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// Y, the cell will continue moving along\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// the old path (based on old target coords)\r\n\t}","@Override\r\n\tpublic void updateForces() {\n\t\tapplyForce(new Vector(0, 0.05));\r\n\t}","@Override\n public void executeFrameWithDeltaTime(float timeInterval, PhysicsObject physicsObject) {\n applyLimits();\n if (this.minPoint.x == this.target.getTranslationX() && physicsObject.velocity.x < 0.0)\n {\n float vx = -physicsObject.velocity.x * this.bounce;\n float vy = physicsObject.velocity.y;\n physicsObject.velocity = new PointF(vx, vy);\n doHaptic();\n }\n if (this.minPoint.y == this.target.getTranslationY() && physicsObject.velocity.y < 0.0)\n {\n float vx = physicsObject.velocity.x;\n float vy = -physicsObject.velocity.y * this.bounce;\n physicsObject.velocity = new PointF(vx, vy);\n doHaptic();\n }\n if (this.maxPoint.x == this.target.getTranslationX() && physicsObject.velocity.x > 0.0)\n {\n float vx = -physicsObject.velocity.x * this.bounce;\n float vy = physicsObject.velocity.y;\n physicsObject.velocity = new PointF(vx, vy);\n doHaptic();\n }\n if (this.maxPoint.y == this.target.getTranslationY() && physicsObject.velocity.y > 0.0)\n {\n float vx = physicsObject.velocity.x;\n float vy = -physicsObject.velocity.y * this.bounce;\n physicsObject.velocity = new PointF(vx, vy);\n doHaptic();\n }\n }","public void transform(String entity) {\n double wx = entity_to_wxy.get(entity).getX(),\n wy = entity_to_wxy.get(entity).getY();\n int sx, sy;\n entity_to_sxy.put(entity, (sx = wxToSx(wx)) + BundlesDT.DELIM + (sy = wyToSy(wy)));\n entity_to_sx.put(entity, sx); entity_to_sy.put(entity, sy);\n transform_id++;\n }","@EventHandler\r\n public void mobDmgLstn(EntityDamageByEntityEvent event) {\r\n if(plugin.getConfig().getBoolean(\"enablePhaseModifiers\")) {\r\n if (plugin.isNight()) {\r\n if (event.getDamager() instanceof Monster) {\r\n event.setDamage(event.getDamage() * main.DmgMult);\r\n } else if (event.getEntity() instanceof Monster) {\r\n event.setDamage(event.getDamage() / main.DmgMult);\r\n }\r\n }\r\n }\r\n }","@Override\n public void update(float dt) {\n //bulletUpdate(dt,b2body);\n stateTime += dt;\n bulletUpdate(b2body,bulletSprite1);\n bulletUpdate(b2body2,bulletSprite2);\n bulletUpdate(b2body3,bulletSprite3);\n\n\n\n }","public void explode(int posX, int posY, PVector force) {\n\t\tif (posX >= gridX || posY >= gridY) {\n\t\t\treturn;\n\t\t}\n\n\t\thasExploded = true;\n\n\t\t// explosion force is a direct, linear blast\n\t\tPVector vPos = new PVector(posX, posY);\n\t\tPVector unitForce = force.normalize(null);\n\t\tapp.println(unitForce);\n\n\t\twhile (vPos.x < gridX && vPos.y < gridY && vPos.x >= 0 & vPos.y >= 0) {\n\t\t\tcells[app.round(vPos.x) + (app.round(vPos.y) * gridX)].setVelocity(force);\n\t\t\tvPos.add(unitForce);\n\n\t\t\tvPos.x = app.round(vPos.x);\n\t\t\tvPos.y = app.round(vPos.y);\n\t\t}\n\t\t// cells[posX + (posY * gridX)].setVelocity(force);\n\t}","public void update(double dt, double fX, double fY){\n\n\t\tdouble aX = fX/mass;\n\t\tdouble aY = fY/mass;\n\n\t\tdouble xxNewVel = dt*aX;\n\t\tdouble yyNewVel = dt*aY;\n\n\n\t\txxVel = xxVel + xxNewVel;\n\t\tyyVel = yyVel + yyNewVel;\n\n\t\txxPos += dt*xxNewVel;\n\t\tyyPos += dt*yyNewVel;\n\t}","@Override\n public void updateObjects(float delta, Matrix3x3f viewport, float width, float height) {\n\n //Checking terminal velocity\n if (distFallen < TERMINAL_V) {\n //Acceleration of gravity\n ty -= (falling += Math.pow(9.80665f, 2) * delta);\n distFallen++;\n } else {\n //Terminal was reached, so stop increasing fall speed.\n ty -= falling;\n }\n\n //If below screen\n if (ty < (-1 * (height / 2 + 200))) {\n this.isAlive = false;\n }\n\n Matrix3x3f mat = Matrix3x3f.translate(tx, ty);\n velocity = mat.mul(new Vector2f());\n\n //Translations\n world = Matrix3x3f.translate(velocity);\n //Multiply by viewport scalar\n world = world.mul(viewport);\n }","public void clearVelocity();","protected void update(float delta)\n {\n float stiffnessScale = 1f/16f;\n\n // FORCE CALCULATIONS\n float springForceX = -owner.STIFFNESS*stiffnessScale*(position.x - desiredPosition.x);\n float dampingForceX = owner.DAMPING * velocity.x;\n float forceX = springForceX - dampingForceX;\n\n float springForceY = -owner.STIFFNESS*stiffnessScale*(position.y - desiredPosition.y);\n float dampingForceY = owner.DAMPING * velocity.y;\n float forceY = springForceY - dampingForceY;\n\n float springForceZ = -owner.STIFFNESS*stiffnessScale*(position.z - desiredPosition.z);\n float dampingForceZ = owner.DAMPING * velocity.z;\n float forceZ = springForceZ - dampingForceZ;\n\n applyForce(forceX, forceY, forceZ);\n\n\n velocity.x += acceleration.x * delta;\n velocity.y += acceleration.y * delta;\n velocity.z += acceleration.z * delta;\n\n position.x += velocity.x * delta;\n position.y += velocity.y * delta;\n position.z += velocity.z * delta;\n //only want positive Z, as that is how the alpha color on the grid is determined\n position.z = abs(position.z);\n\n //not really accurate but it works\n velocity.scl(owner.DAMPING*delta);\n if(velocity.len2() < MathUtils.FLOAT_ROUNDING_ERROR)\n {\n velocity.x = velocity.y = velocity.z = 0;\n }\n\n color.lerp(desiredColor, delta * 0.5f);\n }","public void tick() {\n boolean shouldHaltAfterTick = false;\n\n List<Pair<Movement, Bullet>> movements = new ArrayList<>();\n\n //Bullets on nodes\n Map<Coordinate, Bullet> capturedBullets = new HashMap<>(bullets);\n capturedBullets.keySet().retainAll(nodes.keySet());\n\n //Bullets not on nodes\n Map<Coordinate, Bullet> freeBullets = new HashMap<>(bullets);\n freeBullets.keySet().removeAll(capturedBullets.keySet());\n\n //Generate movements for free bullets\n for (Map.Entry<Coordinate, Bullet> entry : freeBullets.entrySet()) {\n Bullet bullet = entry.getValue();\n Coordinate coord = entry.getKey();\n Coordinate newCoord = entry.getKey().plus(bullet.getDirection()).wrap(width, height);\n movements.add(new Pair<>(new Movement(coord, newCoord), bullet));\n }\n\n //Update captured bullets\n for (Map.Entry<Coordinate, Bullet> entry : capturedBullets.entrySet()) {\n Coordinate coordinate = entry.getKey();\n INode node = nodes.get(coordinate);\n\n // special case\n if (node instanceof NodeHalt)\n shouldHaltAfterTick = true;\n\n //TODO this brings great shame onto my family\n Direction bulletDirection = entry.getValue().getDirection();\n Direction dir = Direction.UP;\n while (dir != node.getRotation()) {\n dir = dir.clockwise();\n bulletDirection = bulletDirection.antiClockwise();\n }\n Bullet bullet = new Bullet(bulletDirection, entry.getValue().getValue());\n\n Map<Direction, BigInteger> bulletParams = node.run(bullet);\n\n for (Map.Entry<Direction, BigInteger> newBulletEntry : bulletParams.entrySet()) {\n //TODO this too\n bulletDirection = newBulletEntry.getKey();\n dir = Direction.UP;\n while (dir != node.getRotation()) {\n dir = dir.clockwise();\n bulletDirection = bulletDirection.clockwise();\n }\n\n Bullet newBullet = new Bullet(bulletDirection, newBulletEntry.getValue());\n Coordinate newCoordinate = coordinate.plus(newBullet.getDirection()).wrap(width, height);\n Movement movement = new Movement(coordinate, newCoordinate);\n movements.add(new Pair<>(movement, newBullet));\n }\n }\n\n //Remove swapping bullets\n List<Movement> read = new ArrayList<>();\n Set<Coordinate> toDelete = new HashSet<>();\n for (Pair<Movement, Bullet> pair : movements) {\n Movement movement = pair.getKey();\n Coordinate from = movement.getFrom();\n Coordinate to = movement.getTo();\n boolean foundSwaps = read.stream().anyMatch(other -> from.equals(other.getTo()) && to.equals(other.getFrom()));\n if (foundSwaps) {\n toDelete.add(from);\n toDelete.add(to);\n }\n read.add(movement);\n }\n movements.removeIf(pair -> toDelete.contains(pair.getKey().getFrom()) || toDelete.contains(pair.getKey().getTo()));\n\n //Remove bullets that end in the same place\n read.clear();\n toDelete.clear();\n for (Pair<Movement, Bullet> pair : movements) {\n Movement movement = pair.getKey();\n Coordinate to = movement.getTo();\n boolean foundSameFinal = read.stream().anyMatch(other -> to.equals(other.getTo()));\n if (foundSameFinal) {\n toDelete.add(to);\n }\n read.add(movement);\n }\n movements.removeIf(pair -> toDelete.contains(pair.getKey().getTo()));\n\n //Move bullets\n Map<Coordinate, Bullet> newBullets = new HashMap<>();\n for (Pair<Movement, Bullet> pair : movements) {\n Movement movement = pair.getKey();\n Bullet bullet = pair.getValue();\n newBullets.put(movement.getTo(), bullet);\n }\n\n bullets.clear();\n bullets.putAll(newBullets);\n\n if (shouldHaltAfterTick)\n halt();\n }","public void move() {\n\t\tdy += acceleration;\n\t\tupdateTail();\n\t\ty += dy;\n\t}","public void calculateNextStepVelocity(double currentTime) {\n // Update the velocity components for the entire grid\n for (int i = 1; i < gridSizeX - 1; i++) {\n for (int j = 1; j < gridSizeY - 1; j++) {\n for (int k = 1; k < gridSizeZ - 1; k++) {\n if (!obstacle[i][j][k]) {\n calculateNextStepVelocityCell(i, j, k, currentTime);\n calculateNextStepPressureCell(i, j, k);\n }\n }\n }\n }\n u = uNext;\n v = vNext;\n w = wNext;\n p = pNext;\n applyPressureCorrection();\n }","@Override\n public void tick() {\n x+=velX;\n y+=velY;\n\n if(Dante.getInstance().getX() <= x)\n displayedImage = left;\n else\n displayedImage = right;\n\n choose = r.nextInt(50);\n\n for(int i = 0; i < Handler1.getInstance().objects.size(); i++) {\n GameObject temp = Handler1.getInstance().objects.get(i);\n\n if(temp.getId() == ID.Block||temp.getId()==ID.Door|| temp.getId() == ID.Obstacle) {\n if(getBoundsBigger().intersects(temp.getBounds())) {\n x += (velX*2) * -1;\n y += (velY*2) * -1;\n velX *= -1;\n velY *= -1;\n } else if(choose == 0) {\n velX = (r.nextInt(2 + 2) - 2) + speed;\n velY = (r.nextInt(2 + 2) - 2) + speed;\n\n if (velX!=0){\n if (velY<0){\n velY+=1;\n }else {\n velY-=1;\n }\n }\n\n if (velY!=0){\n if (velX>0){\n velX-=1;\n }else {\n velX+=1;\n }\n }\n }\n }\n if(temp.id==ID.Dante){\n if (++tickCounter % (r.nextInt(50) + 50) == 0) {\n\n Handler1.getInstance().addObject(new Bullet(x, y, ID.Bullet,\n temp.getX() +(r.nextInt( 11+11) -11),\n temp.getY()+(r.nextInt(11 +11) -11),\n 30, 1, bulletImage,30));\n }\n }\n }\n\n if(hp <= 0) {\n Random rand = new Random();\n if(rand.nextInt(100) <= 33)\n Handler1.getInstance().addObject(new Coin(x, y));\n Handler1.getInstance().removeObject(this);\n }\n }","public void moveOneStep(double dt) {\r\n double movementX = this.p.getX() + dt * this.vel.getDx();\r\n double movementY = this.p.getY() + dt * this.vel.getDy();\r\n Line trajectory = new Line(this.p, new Point(movementX, movementY));\r\n CollisionInfo collInfo = gameE.getClosestCollision(trajectory);\r\n // if there is a collision point collInfo doesn't equal to null.\r\n if (collInfo != null) {\r\n double x = this.getX();\r\n double y = this.getY();\r\n Point collisionPoint = collInfo.collisionPoint();\r\n Collidable obj = collInfo.collisionObject();\r\n Rectangle r = obj.getCollisionRectangle();\r\n // Check if the ball hit on one of the corners block.\r\n if (collisionPoint.getY() == collisionPoint.getX()) {\r\n // If the ball hit on the top corners.\r\n if (collisionPoint.getY() == r.getUpperLeft().getY()\r\n || collisionPoint.getX() == r.getUpperLeft().getX()) {\r\n x = collisionPoint.getX() - this.getSize() - 0.001;\r\n y = collisionPoint.getY() - this.getSize() - 0.001;\r\n // else the ball hit on the bottom corners.\r\n } else {\r\n x = collisionPoint.getX() + this.getSize() + 0.001;\r\n y = collisionPoint.getY() + this.getSize() + 0.001;\r\n }\r\n // Set a new velocity.\r\n this.setVelocity(obj.hit(this, collInfo.collisionPoint(), this.getVelocity()));\r\n this.p = new Point(x, y);\r\n return;\r\n }\r\n\r\n // If the ball hit on the left border block.\r\n if (collisionPoint.getX() == r.getUpperLeft().getX()) {\r\n x = collisionPoint.getX() - this.getSize() - 0.001;\r\n y = collisionPoint.getY();\r\n // If the ball hit on the right border block.\r\n } else if (collisionPoint.getX() == r.getWidth() + r.getUpperLeft().getX()) {\r\n x = collisionPoint.getX() + this.getSize() + 0.001;\r\n y = collisionPoint.getY();\r\n\r\n }\r\n // If the ball hit on the top border block.\r\n if (collisionPoint.getY() == r.getUpperLeft().getY()) {\r\n y = collisionPoint.getY() - this.getSize() - 0.001;\r\n x = collisionPoint.getX();\r\n // If the ball hit on the bottom border block.\r\n } else if (collisionPoint.getY() == r.getHeight() + r.getUpperLeft().getY()) {\r\n y = collisionPoint.getY() + this.getSize() + 0.001;\r\n x = collisionPoint.getX();\r\n }\r\n // set a new velocity.\r\n this.setVelocity(obj.hit(this, collInfo.collisionPoint(), this.getVelocity()));\r\n this.p = new Point(x, y);\r\n // else move the ball one step.\r\n } else {\r\n this.p = this.getVelocity().applyToPoint(this.p, dt);\r\n }\r\n }","private void bounceOffHorizontalWall() {\n vy = -vy;\n }","public void doItemEffect(RobotPeer robot){\n\t\t//System.out.println(\"Energy = \" + robot.getEnergy());\n\t\trobot.updateEnergy(-15);\n\t\t//System.out.println(\"Poison item USED\");\n\t\t//System.out.println(\"Energy = \" + robot.getEnergy());\n\t\t\n\t}","private void updateDelta() {\n\t\tbulletDelta = Delta.getDelta(\"bullet\");\n\t\tenemyDelta = Delta.getDelta(\"enemy\");\n\t}","@Override\n\tpublic double calculateVelocity() {\n\t\tdouble result = distance / time + velocitySame - velocityReverse;\n\t\treturn result;\n\t}","@Override\n\tpublic void onUpdate() {\n\t\tif(!world.isRemote && !firstTick) {\n\t\t\tLCNetwork.net.sendToAllAround(new MessageSyncTNT(this), \n\t\t\t\t\tnew TargetPoint(this.dimension, this.posX, this.posY, this.posZ, 1024));\n\t\t\tfirstTick = true;\n\t\t}\n\t\t\n\t\tthis.prevPosX = this.posX;\n\t\tthis.prevPosY = this.posY;\n\t\tthis.prevPosZ = this.posZ;\n\t\tthis.motionY -= 0.03999999910593033D;\n\t\tthis.move(MoverType.SELF, this.motionX, this.motionY, this.motionZ);\n\t\tthis.motionX *= 0.9800000190734863D;\n\t\tthis.motionY *= 0.9800000190734863D;\n\t\tthis.motionZ *= 0.9800000190734863D;\n\n\t\tif (this.onGround)\n\t\t{\n\t\t\tthis.motionX *= 0.699999988079071D;\n\t\t\tthis.motionZ *= 0.699999988079071D;\n\t\t\tthis.motionY *= -0.5D;\n\t\t}\n\n\t\tif (this.fuse-- <= 0)\n\t\t{\n\t\t\tthis.setDead();\n\n\t\t\tif (!this.world.isRemote)\n\t\t\t{\n\t\t\t\tthis.explode();\n\t\t\t}\n\t\t}\n\t\telse\n\t\t{\n\t\t\tthis.world.spawnParticle(EnumParticleTypes.SMOKE_LARGE, this.posX, this.posY + 0.5D, this.posZ, 0.0D, 0.0D, 0.0D);\n\t\t}\n\t}"],"string":"[\n \"private void updatePhysics ( ECSEntity entity, long t )\\n {\\n // Constants.\\n \\n final double SCREEN_HEIGHT = 600.0;\\n final double FRICTION_COEFFICIENT = 0.0001 / SCREEN_HEIGHT;\\n final double ACCELERATION = 0.001 / SCREEN_HEIGHT;\\n \\n // Initialize working variables.\\n \\n double ax = 0.0;\\n double ay = 0.0;\\n \\n // Retrieve the entity's components.\\n \\n this.transform = ( ComponentTransform ) entity.getComponent ( Constants.COMPONENT_TRANSFORM );\\n this.physics = ( ComponentPhysics ) entity.getComponent ( Constants.COMPONENT_PHYSICS );\\n \\n // Initialize working variables.\\n \\n Vector2D a = new Vector2D ( this.physics.acceleration );\\n Vector2D v = new Vector2D (); \\n Vector2D d = new Vector2D ();\\n Vector2D u = new Vector2D ();\\n Vector2D dUp = new Vector2D ( 0.0, 1.0 );\\n Vector2D dDown = new Vector2D ( 0.0, -1.0 );\\n Vector2D dRight = new Vector2D ( 1.0, 0.0 );\\n Vector2D dLeft = new Vector2D ( -1.0, 0.0 );\\n double p = FRICTION_COEFFICIENT;\\n double vMax = this.physics.vMax;\\n \\n // Calculate velocity.\\n \\n v.setVector ( a.scale ( t ) ); // Acceleration: a = v/t ↔ v = a·t (Newtonian acceleration).\\n \\n // Apply accelerator.\\n \\n if ( v.magnitude() < vMax / t )\\n { \\n if ( this.physics.accelerateUp ) { a.setVector ( a.add ( dUp.scale ( ACCELERATION ) ) ); }\\n if ( this.physics.accelerateDown ) { a.setVector ( a.add ( dDown.scale ( ACCELERATION ) ) ); }\\n if ( this.physics.accelerateRight ) { a.setVector ( a.add ( dRight.scale ( ACCELERATION ) ) ); }\\n if ( this.physics.accelerateLeft ) { a.setVector ( a.add ( dLeft.scale ( ACCELERATION ) ) ); } \\n } \\n else\\n { \\n if ( this.physics.accelerateUp ) { a.setVector ( a.subtract ( dUp.scale ( ACCELERATION ) ) ); }\\n if ( this.physics.accelerateDown ) { a.setVector ( a.subtract ( dDown.scale ( ACCELERATION ) ) ); }\\n if ( this.physics.accelerateRight ) { a.setVector ( a.subtract ( dRight.scale ( ACCELERATION ) ) ); }\\n if ( this.physics.accelerateLeft ) { a.setVector ( a.subtract ( dLeft.scale ( ACCELERATION ) ) ); }\\n }\\n \\n // Calculate displacement. ( Distance to move in this time slice ).\\n \\n d.setVector ( v.scale ( t ) ); // Velocity: v = d/t ↔ d = v·t (Newtonian velocity).\\n \\n // Apply friction coefficient.\\n \\n double a2 = 4.0; // Friction amplifier. Used to speed up lateral deceleration, which improves the sense of control response experienced by the user.\\n \\n ax = a.getX ();\\n ay = a.getY ();\\n \\n if ( this.physics.accelerateUp || this.physics.accelerateDown )\\n {\\n // If the user is currently accelerating up or down, then use the friction amplifier to speed up deceleration along the horizontal axis.\\n \\n if ( ax < 0 ) ax += p*a2;\\n if ( ax > 0 ) ax -= p*a2;\\n if ( ay < 0 ) ay += p;\\n if ( ay > 0 ) ay -= p;\\n }\\n else if ( this.physics.accelerateLeft || this.physics.accelerateRight )\\n {\\n // If the user is currently accelerating left or right, then use the friction amplifier to speed up deceleration along the vertical axis.\\n \\n if ( ax < 0 ) ax += p;\\n if ( ax > 0 ) ax -= p;\\n if ( ay < 0 ) ay += p*a2;\\n if ( ay > 0 ) ay -= p*a2;\\n }\\n else\\n {\\n // If the user is not accelerating in any direction, then just apply the normal friction coefficient in all direction.\\n \\n if ( ax < 0 ) { ax += p; if ( ax > 0.0 ) ax = 0.0; }\\n if ( ax > 0 ) { ax -= p; if ( ax < 0.0 ) ax = 0.0; }\\n if ( ay < 0 ) { ay += p; if ( ay > 0.0 ) ay = 0.0; }\\n if ( ay > 0 ) { ay -= p; if ( ay < 0.0 ) ay = 0.0; }\\n }\\n \\n a.setVector ( ax, ay );\\n \\n // Update physics.\\n \\n this.physics.acceleration.setVector ( a );\\n this.physics.velocity.setVector ( v );\\n \\n // Update translation.\\n \\n this.transform.translation.setVector ( this.transform.translation.add ( d ) );\\n }\",\n \"public void applyEntityCollision(Entity entityIn) {\\n }\",\n \"public void update(Vehicle v, float dt) {\\nPoint2D.Float p = v.getPosition();\\r\\nPoint2D.Float tp = target.getPosition();\\r\\nPoint2D.Float desired_velocity = new Point2D.Float(tp.x - p.x , tp.y - p.y);\\r\\nVehicle.scale(desired_velocity, v.getMaxSpeed());\\r\\nv.updateSteering(desired_velocity.x, desired_velocity.y);\\r\\n}\",\n \"public static void mountVelocity(Entity e, double x, double y, double z) {\\r\\n\\t\\tList<Entity> collidingEnts = WorldHelper.collidingEntities(e);\\r\\n\\t\\tif (!e.world.isRemote) {\\r\\n\\t\\t\\tfor (Entity collider : collidingEnts) {\\r\\n\\t\\t\\t\\tcollider.addVelocity(x, y, z);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"@Override\\n protected void processEntity(Entity entity, float deltaTime) {\\n final TransformComponent curTransform = Mapper.TRANSFORM.get(entity);\\n final MovementComponent curMovement = Mapper.MOVEMENT.get(entity);\\n\\n // Store the real normal vector in a temporary object.\\n // This vector requires that we normalize the normal vector and scale it to the move speed magnitude.\\n Vector2 move_vec = new Vector2(curMovement.MOVEMENT_NORMAL).nor().scl((float)curMovement.moveSpeed * 60f * deltaTime);\\n\\n // Move and rotate the entity\\n curTransform.POSITION.add(move_vec);\\n curTransform.rotation += curMovement.rotSpeed * deltaTime;\\n\\n // Limit rotation to [0, 360) for easy printouts.\\n if (curTransform.rotation >= 360)\\n curTransform.rotation -= 360;\\n if (curTransform.rotation < 0)\\n curTransform.rotation += 360;\\n }\",\n \"private void doVels() {\\n\\t\\tthis.launchPerVel = Math.sqrt((2d * body.getGm() * this.launchApoAlt) / (this.launchPerAlt * this.a));\\n\\t\\tthis.launchApoVel = Math.sqrt((2d * body.getGm() * this.launchPerAlt) / (this.launchApoAlt * this.a));\\n\\t}\",\n \"public void applyForce(E entity,Force force);\",\n \"public abstract void collideWith(Entity entity);\",\n \"void update() {\\n for( int i= 0; i < masses.length; i++) {\\n masses[i].posX += masses[i].vx*dt;\\n masses[i].posY += masses[i].vy*dt;\\n }\\n\\n for( int i = 0; i < springs.length; i++) {\\n if( !springs[i].mass1.fixed ) {\\n springs[i].mass1.vx += ( springs[i].forceX() + nx(springs[i].mass1)*Math.pow(dist(springs[i].mass1)/(width*Math.sqrt(2)),2) - 0.005*springs[i].mass1.vx ) * dt;\\n springs[i].mass1.vy += ( springs[i].forceY() + ny(springs[i].mass1)*Math.pow(dist(springs[i].mass1)/(width*Math.sqrt(2)),2) - 0.005*springs[i].mass1.vy ) * dt;\\n }\\n\\n if( !springs[i].mass2.fixed ) {\\n springs[i].mass2.vx += ( (-1)*springs[i].forceX() + nx(springs[i].mass2)*Math.pow(dist(springs[i].mass1)/(width*Math.sqrt(2)),2) - 0.005*springs[i].mass2.vx ) * dt;\\n springs[i].mass2.vy += ( (-1)*springs[i].forceY() + ny(springs[i].mass2)*Math.pow(dist(springs[i].mass1)/(width*Math.sqrt(2)),2) - 0.005*springs[i].mass2.vy ) * dt;\\n }\\n }\\n }\",\n \"public void onUsingTick(ItemStack stack, EntityPlayer player, int count) {\\n/* 132 */ player.motionX = 0.0D;\\n/* 133 */ player.motionZ = 0.0D;\\n/* */ \\n/* 135 */ int searchRange = 20;\\n/* 136 */ List<EntityLivingBase> entities = player.worldObj.getEntitiesWithinAABB(EntityLivingBase.class, AxisAlignedBB.getBoundingBox(player.posX - searchRange, player.posY - searchRange, player.posZ - searchRange, player.posX + searchRange, player.posY + searchRange, player.posZ + searchRange));\\n/* */ \\n/* 138 */ if (entities.contains(player)) {\\n/* 139 */ entities.remove(player);\\n/* */ }\\n/* 141 */ if (count < getMaxItemUseDuration(stack) - 20) {\\n/* 142 */ for (int counter = entities.size() - 1; counter >= 0; counter--) {\\n/* 143 */ if (player.getDistanceToEntity((Entity)entities.get(counter)) <= 3.0F && \\n/* 144 */ WandManager.consumeVisFromInventory(player, (new AspectList()).add(Aspect.FIRE, (int)(150.0F * RelicsConfigHandler.soulTomeVisMult)).add(Aspect.ENTROPY, (int)(120.0F * RelicsConfigHandler.soulTomeVisMult)))) {\\n/* */ \\n/* 146 */ EntityLivingBase thrownEntity = entities.get(counter);\\n/* */ \\n/* 148 */ Vector3 entityVec = Vector3.fromEntityCenter((Entity)thrownEntity);\\n/* 149 */ Vector3 playerVec = Vector3.fromEntityCenter((Entity)player);\\n/* */ \\n/* 151 */ Vector3 diff = entityVec.copy().sub(playerVec).multiply((1.0F / player.getDistanceToEntity((Entity)thrownEntity) * 3.0F));\\n/* */ \\n/* 153 */ float curve = (float)(1.0D / player.getDistance(entityVec.x, entityVec.y, entityVec.z) * 8.0D);\\n/* */ \\n/* 155 */ if (!player.worldObj.isRemote)\\n/* 156 */ for (int counterZ = 0; counterZ <= 3; counterZ++) {\\n/* 157 */ Main.proxy.lightning(player.worldObj, player.posX, player.posY + 1.0D, player.posZ, entityVec.x, entityVec.y, entityVec.z, 40, curve, (int)(player.getDistance(entityVec.x, entityVec.y, entityVec.z) * 6.0D), 0, 0.075F);\\n/* */ } \\n/* 159 */ player.worldObj.playSoundAtEntity((Entity)player, \\\"thaumcraft:zap\\\", 1.0F, 0.8F);\\n/* */ \\n/* 161 */ thrownEntity.attackEntityFrom((DamageSource)new DamageRegistryHandler.DamageSourceTLightning((Entity)player), (float)(20.0D + 80.0D * Math.random()));\\n/* */ \\n/* 163 */ thrownEntity.motionX = diff.x;\\n/* 164 */ thrownEntity.motionY = diff.y + 1.0D;\\n/* 165 */ thrownEntity.motionZ = diff.z;\\n/* */ } \\n/* */ } \\n/* */ }\\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* */ \\n/* 195 */ this; this; this; this; if ((((count < getMaxItemUseDuration(stack) - 20) ? 1 : 0) & ((count % 4 == 0) ? 1 : 0)) != 0 && WandManager.consumeVisFromInventory(player, (new AspectList()).add(Aspect.EARTH, TerraCost).add(Aspect.AIR, AerCost).add(Aspect.FIRE, IgnisCost).add(Aspect.ENTROPY, PerditioCost))) {\\n/* */ \\n/* 197 */ EntityLivingBase randomEntity = null;\\n/* */ \\n/* 199 */ if (entities.size() > 0) {\\n/* 200 */ randomEntity = entities.get((int)(entities.size() * Math.random()));\\n/* */ }\\n/* 202 */ if ((((randomEntity != null) ? 1 : 0) & (!player.worldObj.isRemote ? 1 : 0)) != 0) {\\n/* */ \\n/* 204 */ float soulDamage = randomEntity.getMaxHealth() / RelicsConfigHandler.soulTomeDivisor;\\n/* */ \\n/* 206 */ if (soulDamage > 20.0F) {\\n/* 207 */ soulDamage = 20.0F;\\n/* 208 */ } else if (soulDamage < 1.0F) {\\n/* 209 */ soulDamage = 1.0F;\\n/* */ } \\n/* 211 */ randomEntity.attackEntityFrom((DamageSource)new DamageRegistryHandler.DamageSourceSoulDrain((Entity)player), soulDamage);\\n/* 212 */ spawnSoul(player.worldObj, randomEntity, (EntityLivingBase)player);\\n/* */ } \\n/* */ } \\n/* */ }\",\n \"@EventHandler\\n public void onEntityShootBowEvent(final EntityShootBowEvent event) {\\n \\tif (SheepWarsPlugin.getVersionManager().getVersion().equals(MinecraftVersion.v1_8_R3))\\n \\t\\tevent.getProjectile().setVelocity(event.getProjectile().getVelocity());\\n }\",\n \"public void updateVelocity(){\\r\\n if (getPosition().x <= 0 || getPosition().x >= GameBoard.MAX_X) {\\r\\n setVelocity(getVelocity().add(getVelocity().mul(reverse)));\\r\\n }\\r\\n }\",\n \"private Vector3f getOrbitalVelocity(CelestialEntity entity1, CelestialEntity entity2) {\\r\\n\\t\\tVector3f p1 = entity1.getPosition();\\r\\n\\t\\tVector3f p2 = entity2.getPosition();\\r\\n\\t\\tfloat m1 = entity1.getMass();\\r\\n\\t\\tfloat m2 = entity2.getMass();\\r\\n\\t\\tVector3f r = Vector3f.sub(p2, p1);\\r\\n\\t\\t\\r\\n\\t\\tVector3f velocity = new Vector3f();\\r\\n\\t\\t// Perpendicular vector in the x-z plane\\r\\n\\t\\tvelocity.x = -r.z;\\r\\n\\t\\tvelocity.z = r.x;\\r\\n\\t\\t// Calculate velocity magnitude (speed)\\r\\n\\t\\tdouble distance = r.magnitude();\\r\\n\\t\\tdouble speed = Math.sqrt(Constants.G * (m1 + m2) / distance);\\r\\n\\t\\tvelocity.setMagnitude((float) speed);\\r\\n\\t\\t\\r\\n\\t\\treturn velocity;\\r\\n\\t}\",\n \"public void onUpdate()\\n {\\n super.onUpdate();\\n this.jumpMovementFactor = 0.0F;\\n this.renderYawOffset = this.rotationPitch = this.rotationYaw = 0.0F;\\n\\n if (this.target != null && this.target instanceof EntityLiving)\\n {\\n EntityLiving var1 = (EntityLiving) this.target;\\n\\n if (var1.getHealth() <= 0 || !this.canEntityBeSeen(var1))\\n {\\n this.target = null;\\n this.stop();\\n this.moveTimer = 0;\\n return;\\n }\\n } else\\n {\\n if (this.target != null && this.target.isDead)\\n {\\n this.target = null;\\n this.stop();\\n this.moveTimer = 0;\\n return;\\n }\\n\\n if (this.target == null)\\n {\\n this.target = this.worldObj.getClosestPlayerToEntity(this, -1.0D);\\n\\n if (this.target == null)\\n {\\n this.target = null;\\n this.stop();\\n this.moveTimer = 0;\\n\\n if (!this.worldObj.isRemote)\\n {\\n this.setDead();\\n }\\n\\n return;\\n }\\n }\\n }\\n\\n if (this.posX == (double) this.getOrgX() && this.posY == (double) this.getOrgY() && this.posZ == (double) this.getOrgZ())\\n {\\n if (!this.isReformed())\\n {\\n this.setReformed(true);\\n }\\n\\n this.stop();\\n this.moveTimer = 0;\\n }\\n\\n if (this.slider == null)\\n {\\n Vec3 var16 = Vec3.createVectorHelper(this.posX, this.posY, this.posZ);\\n Vec3 var2 = Vec3.createVectorHelper(this.posX + this.motionX, this.posY + this.motionY, this.posZ + this.motionZ);\\n MovingObjectPosition var18 = this.worldObj.rayTraceBlocks(var16, var2);\\n var16 = Vec3.createVectorHelper(this.posX, this.posY, this.posZ);\\n var2 = Vec3.createVectorHelper(this.posX + this.motionX, this.posY + this.motionY, this.posZ + this.motionZ);\\n\\n if (var18 != null)\\n {\\n var2 = Vec3.createVectorHelper(var18.hitVec.xCoord, var18.hitVec.yCoord, var18.hitVec.zCoord);\\n }\\n\\n if (!this.worldObj.isRemote)\\n {\\n Object var4 = null;\\n List var15 = this.worldObj.getEntitiesWithinAABBExcludingEntity(this, this.boundingBox.addCoord(this.motionX, this.motionY, this.motionZ).expand(4.0D, 4.0D, 4.0D));\\n double var6 = 0.0D;\\n\\n for (int var8 = 0; var8 < var15.size(); ++var8)\\n {\\n Entity var9 = (Entity) var15.get(var8);\\n\\n if (var9.canBeCollidedWith() && var9 != this)\\n {\\n float var10 = 0.3F;\\n\\n if (var9 instanceof EntitySlider)\\n {\\n this.slider = (EntitySlider) var9;\\n var18 = null;\\n }\\n\\n AxisAlignedBB var11 = var9.boundingBox.expand((double) var10, (double) var10, (double) var10);\\n MovingObjectPosition var12 = var11.calculateIntercept(var16, var2);\\n\\n if (var12 != null)\\n {\\n double var13 = var16.distanceTo(var12.hitVec);\\n\\n if (var13 < var6 || var6 == 0.0D)\\n {\\n var6 = var13;\\n }\\n }\\n }\\n }\\n }\\n\\n if (this.slider == null || this.slider.isDead)\\n {\\n this.target = null;\\n this.stop();\\n this.moveTimer = 0;\\n\\n if (!this.worldObj.isRemote)\\n {\\n this.setDead();\\n }\\n }\\n } else if (this.slider.target != this.target)\\n {\\n this.target = null;\\n this.stop();\\n this.moveTimer = 0;\\n\\n if (!this.worldObj.isRemote)\\n {\\n this.setDead();\\n }\\n } else\\n {\\n this.fallDistance = 0.0F;\\n double var17;\\n double var5;\\n double var3;\\n\\n if (this.gotMovement)\\n {\\n if (this.isCollided)\\n {\\n var17 = this.posX - 0.5D;\\n var3 = this.boundingBox.minY + 0.75D;\\n var5 = this.posZ - 0.5D;\\n\\n if (this.crushed)\\n {\\n this.worldObj.playSoundEffect(this.posX, this.posY, this.posZ, \\\"random.explode\\\", 3.0F, (0.625F + (this.worldObj.rand.nextFloat() - this.worldObj.rand.nextFloat()) * 0.2F) * 0.7F);\\n this.worldObj.playSoundAtEntity(this, \\\"aeboss.slider.collide\\\", 2.5F, 1.0F / (this.rand.nextFloat() * 0.2F + 0.9F));\\n }\\n\\n this.stop();\\n } else\\n {\\n if (this.speedy < 2.0F)\\n {\\n this.speedy += 0.035F;\\n }\\n\\n this.motionX = 0.0D;\\n this.motionY = 0.0D;\\n this.motionZ = 0.0D;\\n\\n if (this.direction == 0)\\n {\\n this.motionY = (double) this.speedy;\\n\\n if (this.boundingBox.minY > (this.reform ? (double) this.getOrgY() : this.target.boundingBox.minY + 0.35D))\\n {\\n this.stop();\\n this.moveTimer = 8;\\n }\\n } else if (this.direction == 1)\\n {\\n this.motionY = (double) (-this.speedy);\\n\\n if (this.boundingBox.minY < (this.reform ? (double) this.getOrgY() : this.target.boundingBox.minY - 0.25D))\\n {\\n this.stop();\\n this.moveTimer = 8;\\n }\\n } else if (this.direction == 2)\\n {\\n this.motionX = (double) this.speedy;\\n\\n if (this.posX > (this.reform ? (double) this.getOrgX() - 1.0D : this.target.posX + 0.125D))\\n {\\n this.stop();\\n this.moveTimer = 8;\\n }\\n } else if (this.direction == 3)\\n {\\n this.motionX = (double) (-this.speedy);\\n\\n if (this.posX < (this.reform ? (double) this.getOrgX() - 1.0D : this.target.posX - 0.125D))\\n {\\n this.stop();\\n this.moveTimer = 8;\\n }\\n } else if (this.direction == 4)\\n {\\n this.motionZ = (double) this.speedy;\\n\\n if (this.posZ > (this.reform ? (double) this.getOrgZ() - 1.0D : this.target.posZ + 0.125D))\\n {\\n this.stop();\\n this.moveTimer = 8;\\n }\\n } else if (this.direction == 5)\\n {\\n this.motionZ = (double) (-this.speedy);\\n\\n if (this.posZ < (this.reform ? (double) this.getOrgZ() - 1.0D : this.target.posZ - 0.125D))\\n {\\n this.stop();\\n this.moveTimer = 8;\\n }\\n }\\n }\\n } else\\n {\\n this.motionY = 0.0D;\\n\\n if (this.moveTimer > 0)\\n {\\n --this.moveTimer;\\n this.motionX = 0.0D;\\n this.motionY = 0.0D;\\n this.motionZ = 0.0D;\\n } else\\n {\\n var17 = Math.abs(this.posX - (this.reform ? (double) this.getOrgX() : this.target.posX));\\n var3 = Math.abs(this.boundingBox.minY - (this.reform ? (double) this.getOrgY() : this.target.boundingBox.minY));\\n var5 = Math.abs(this.posZ - (this.reform ? (double) this.getOrgZ() : this.target.posZ));\\n\\n if (var17 > var5)\\n {\\n this.direction = 2;\\n\\n if (this.posX > (this.reform ? (double) this.getOrgX() - 1.0D : this.target.posX))\\n {\\n this.direction = 3;\\n }\\n } else\\n {\\n this.direction = 4;\\n\\n if (this.posZ > (this.reform ? (double) this.getOrgZ() - 1.0D : this.target.posZ))\\n {\\n this.direction = 5;\\n }\\n }\\n\\n if (var3 > var17 && var3 > var5 || var3 > 0.25D && this.rand.nextInt(5) == 0)\\n {\\n this.direction = 0;\\n\\n if (this.posY > (this.reform ? (double) this.getOrgY() : this.target.posY))\\n {\\n this.direction = 1;\\n }\\n }\\n\\n this.gotMovement = true;\\n }\\n }\\n\\n if (this.harvey > 0.01F)\\n {\\n this.harvey *= 0.8F;\\n }\\n }\\n }\",\n \"public void applyVelocityChange(final Vector2f velocityChange);\",\n \"public void onEntityMove(Entity entity) {\\n\\n }\",\n \"private void trackPosition(Entity entity, Node node) {\\n // TODO = tweak this slightly to remove items from the equipped inventory?\\n GridPane.setColumnIndex(node, entity.getX());\\n GridPane.setRowIndex(node, entity.getY());\\n\\n ChangeListener<Number> xListener = new ChangeListener<Number>() {\\n @Override\\n public void changed(ObservableValue<? extends Number> observable, Number oldValue, Number newValue) {\\n GridPane.setColumnIndex(node, newValue.intValue());\\n }\\n };\\n ChangeListener<Number> yListener = new ChangeListener<Number>() {\\n @Override\\n public void changed(ObservableValue<? extends Number> observable, Number oldValue, Number newValue) {\\n GridPane.setRowIndex(node, newValue.intValue());\\n }\\n };\\n\\n // if need to remove items from the equipped inventory, add code to remove from\\n // equipped inventory gridpane in the .onDetach part\\n ListenerHandle handleX = ListenerHandles.createFor(entity.x(), node)\\n .onAttach((o, l) -> o.addListener(xListener)).onDetach((o, l) -> {\\n o.removeListener(xListener);\\n entityImages.remove(node);\\n squares.getChildren().remove(node);\\n cards.getChildren().remove(node);\\n equippedItems.getChildren().remove(node);\\n unequippedInventory.getChildren().remove(node);\\n }).buildAttached();\\n ListenerHandle handleY = ListenerHandles.createFor(entity.y(), node)\\n .onAttach((o, l) -> o.addListener(yListener)).onDetach((o, l) -> {\\n o.removeListener(yListener);\\n entityImages.remove(node);\\n squares.getChildren().remove(node);\\n cards.getChildren().remove(node);\\n equippedItems.getChildren().remove(node);\\n unequippedInventory.getChildren().remove(node);\\n }).buildAttached();\\n handleX.attach();\\n handleY.attach();\\n\\n // this means that if we change boolean property in an entity tracked from here,\\n // position will stop being tracked\\n // this wont work on character/path entities loaded from loader classes\\n entity.shouldExist().addListener(new ChangeListener<Boolean>() {\\n @Override\\n public void changed(ObservableValue<? extends Boolean> obervable, Boolean oldValue, Boolean newValue) {\\n handleX.detach();\\n handleY.detach();\\n }\\n });\\n }\",\n \"@Override\\n public void update() {\\n for (Integer i : arrAttack) {\\n //System.out.println(scene.entityManager.getEntityByID(i).getName());\\n\\n //if the weapon has not a -1\\n if (scene.entityManager.getEntityComponentInstance(i, Tool.class).currentActive != - 1) {\\n\\n ArrayList<AttackCollider> arrColliders = scene.entityManager.getEntityComponentInstance(i, attackComponent.getClass()).arrColliders;\\n\\n //Check if it collides with a collidable entity\\n for (Integer j : arrCollidable) {\\n //if they are not the same and i is not a weapon of j, and if j is alive\\n if (!Objects.equals(i, j) && !isWeaponOf(i, j) && scene.entityManager.getEntityComponentInstance(j, Playable.class).isAlive) {\\n\\n //for each collider that collides with the entity\\n for (AttackCollider k : checkAttack(i, j)) {\\n //Do something to the collidable entity\\n executeAttack(i, j);\\n }\\n }\\n }\\n }\\n }\\n initializeEntities();\\n }\",\n \"public void moveTowards(){\\n \\n \\n \\n if(!exploded){\\n \\n \\n move(speed);\\n \\n if(isTouching(Enemy.class)){\\n move(explosionRadius); \\n \\n inRange = (ArrayList) getObjectsInRange(explosionRadius + 25, Enemy.class);\\n for(Enemy e : inRange){\\n e.hit(damage);\\n }\\n \\n //explode\\n exploded = true;\\n \\n image = new GreenfootImage(\\\"50x50 aoe.png\\\");\\n image.scale(explosionRadius*2, explosionRadius*2);\\n setImage(image);\\n //getWorld().removeObject(this);\\n }\\n else if (isAtEdge())\\n {\\n getWorld().removeObject(this);\\n }\\n else if ( radius < distance) {\\n getWorld().removeObject(this); \\n }\\n }\\n else{\\n setImage(image);\\n image.setTransparency(image.getTransparency() - 5);\\n if(image.getTransparency() <= 0) getWorld().removeObject(this);\\n }\\n }\",\n \"protected void calcVelocity()\\n\\t{}\",\n \"void effect(Entity e, BoardPosition bp);\",\n \"private void updateVelocity() {\\n\\t \\t//Update x velocity\\n\\t \\tif (getNode().getTranslateX() > MAX_SPEED_X) {\\n\\t \\t\\tsetvX(MAX_SPEED_X);\\n\\t \\t} else if (getNode().getTranslateX() < -MAX_SPEED_X) {\\n\\t \\t\\tsetvX(-MAX_SPEED_X);\\n\\t } else {\\n\\t \\t\\tsetvX(getNode().getTranslateX());\\n\\t \\t}\\n\\n\\t \\t//Update x velocity\\n\\t \\tif (getNode().getTranslateY() > MAX_SPEED_Y) {\\n\\t \\t\\tsetvY(MAX_SPEED_Y);\\n\\t \\t} else if (getNode().getTranslateY() < -MAX_SPEED_Y) {\\n\\t \\t\\tsetvY(-MAX_SPEED_Y);\\n\\t \\t} else {\\n\\t \\t\\tsetvY(getNode().getTranslateY());\\n\\t \\t}\\n\\t }\",\n \"public void onUpdate()\\n {\\n this.prevPosX = this.posX;\\n this.prevPosY = this.posY;\\n this.prevPosZ = this.posZ;\\n this.motionY -= 0.03999999910593033D;\\n this.moveEntity(this.motionX, this.motionY, this.motionZ);\\n this.motionX *= 0.9800000190734863D;\\n this.motionY *= 0.9800000190734863D;\\n this.motionZ *= 0.9800000190734863D;\\n\\n if (this.onGround)\\n {\\n this.motionX *= 0.699999988079071D;\\n this.motionZ *= 0.699999988079071D;\\n this.motionY *= -0.5D;\\n }\\n\\n if (this.fuse-- <= 0)\\n {\\n if (!this.worldObj.isRemote)\\n {\\n this.setDead();\\n this.explode();\\n }\\n } else\\n {\\n this.worldObj.spawnParticle(\\\"smoke\\\", this.posX, this.posY + 0.5D, this.posZ, 0.0D, 0.0D, 0.0D);\\n }\\n }\",\n \"private void UpdateVelocity()\\n\\t{\\n\\t\\tVector2 currentPosition = new Vector2(parent.transform.position);\\n\\t\\tVector2 newVelocity = Vector2.Add(currentPosition,previousPosition.negate());\\n\\t\\tpreviousPosition = currentPosition;\\n\\t\\t\\n\\t\\tfloat currentRotation = parent.transform.rotation;\\n\\t\\tangularVelocity = currentRotation - previousRotation;\\n\\t\\tpreviousRotation = currentRotation;\\n\\t\\t\\n\\t\\tvelocity = newVelocity;\\n\\t}\",\n \"public void update(){\\n velX *= damp;\\n velY *= damp;\\n posX += velX;\\n posY += velY;\\n }\",\n \"private void bounceOffVerticalWall() {\\n vx = -vx;\\n }\",\n \"@Override\\n public void update(Entity entity, MapManager mapMgr, float delta) {\\n\\n updateBoundingBoxPosition(nextEntityPosition);\\n updatePortalLayerActivation(mapMgr);\\n\\n if (!isCollisionWithMapLayer(entity, mapMgr) && (!isCollision(entity, mapMgr)) && state == Entity.State.WALKING) {\\n setNextPositionToCurrent(entity, mapMgr, delta);\\n Camera camera = mapMgr.getCamera();\\n camera.position.set(currentEntityPosition.x, currentEntityPosition.y, 0f);\\n camera.update();\\n } else {\\n updateBoundingBoxPosition(currentEntityPosition);\\n //if direction key has been lifted stop moving\\n\\n //TODO bug where if player is walking against a wall switching direction\\n //TODO will not break out of the walk\\n /*if(motion == Entity.Motion.STANDING)\\n {\\n entity.sendMessage(MESSAGE.CURRENT_STATE, json.toJson(Entity.State.IDLE));\\n }*/\\n }\\n\\n if (isMining) {\\n tileToMine = getFacingTile(entity,mapMgr);\\n entity.sendMessage(MESSAGE.MINING_GRAPHICS, json.toJson(tileToMine));\\n isMining = false;\\n }\\n if (motion == Entity.Motion.STANDING) {\\n //only call calculate position once\\n calculateNextPosition(delta);\\n }\\n tileToMine = getFacingTile(entity, mapMgr);\\n //System.out.print(\\\"Tile x \\\" + tileToMine.x + \\\"Tile Y \\\" + tileToMine.y);\\n }\",\n \"public static void updatePosition() {\\n\\t\\tfor (int i = 0; i < TitanV4.planets.length; i++) { //compute forces between all celestial corpses\\n\\t\\t\\tfor(int j=i; j<TitanV4.planets.length; j++){\\n\\t\\t\\t\\tif (i != j) {\\n\\t\\t\\t\\t\\tdouble upper = TitanV4.G*TitanV4.planets[i].getMass() * TitanV4.planets[j].getMass();\\n\\t\\t\\t\\t\\tdouble lower = TitanV4.planets[i].getPosition().distanceFrom(TitanV4.planets[j].getPosition());\\n\\t\\t\\t\\t\\tdouble gravitation = upper/lower;\\n\\t\\t\\t\\t\\tVector a = new Vector();\\n\\t\\t\\t\\t\\ta = TitanV4.planets[i].getPosition().substract(TitanV4.planets[j].getPosition()).normalize().multiply(-1);\\n\\n\\t\\t\\t\\t\\tTitanV4.planets[i].force.add(a.multiply(gravitation));\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t//compute acceleration vector for each celestial corpse but the sun\\n\\t\\tfor(int i=1; i<TitanV4.planets.length; i++){\\n\\t\\t\\tTitanV4.planets[i].acceleration = (TitanV4.planets[i].force.divide(TitanV4.planets[i].getMass()));\\n\\t\\t}\\n\\n\\t\\t//calculate change in speed over deltaT\\n\\t\\tfor(int i=1; i<TitanV4.planets.length; i++){\\n\\t\\t\\tVector oldVelocity = new Vector(TitanV4.planets[i].velocity);\\n\\t\\t\\tTitanV4.planets[i].velocity.add((TitanV4.planets[i].acceleration.multiply(TitanV4.deltaT)));\\n\\n\\t\\t\\tVector posChange = new Vector();\\n\\t\\t\\tposChange = (oldVelocity.add(velocity).divide(2)).multiply(TitanV4.deltaT);\\n\\t\\t\\tTitanV4.planets[i].pos.add(posChange);\\n\\t\\t}\\n\\t}\",\n \"public void moveEntity(Entity entity) {\\n\\t\\tIMoveBehaviour b = entity.getBehaviour();\\n\\t\\tb.preMove();\\n\\t\\t\\n\\t\\tCollisionMask mask = entity.getBoundingArea();\\n\\t\\tif (hitsWall(entity, mask)) {\\n\\t\\t\\tentity.hitWall();\\n\\t\\t}\\n\\n\\t\\tmask.move(b.getSpeedVector());\\n\\n\\t\\tif (!entity.canMoveThroughWall()) {\\n\\t\\t\\tmoveWithinScreen(mask);\\n\\t\\t}\\n\\t}\",\n \"public void calculateVelocity(Planet3D other) {\\n\\t\\tVec3d temp = new Vec3d(other);\\n\\t\\ttemp.sub(this);\\n\\t\\tSystem.out.println(\\\"\\\\n[other]-[this]=[new dir] == [\\\"+other.x+\\\",\\\"+other.y+\\\",\\\"+other.z+\\\"]-[\\\"+this.x+\\\",\\\"+this.y+\\\",\\\"+this.z+\\\"]=[\\\"+temp.x+\\\",\\\"+temp.y+\\\",\\\"+temp.z+\\\"]\\\");\\n\\t\\tdouble force=forceCalc(other.getMass(), temp.length());\\n\\t\\ttemp.normalize();\\n//\\t\\tSystem.out.println(\\\", and direction between is this:(\\\"+temp.x+\\\",\\\"+temp.y+\\\",\\\"+temp.z+\\\"),\\\\nthe other planet has a mass of \\\"+other.getMass());\\n//\\t\\tSystem.out.println(\\\"the force added to the vector is:\\\"+(Math.abs(force)));\\n\\t\\ttemp.mul(force);\\t\\n\\t\\tvelocity.sub(temp);\\n\\t\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void live(long _dt) {\\n\\t\\tList<IPerceivable> surroundingEntities = getPerceptions();\\n\\n\\t\\tVector2f newDirection = decide(surroundingEntities);\\n\\n\\t\\tmove(newDirection);\\n\\n\\t}\",\n \"@Override\\n public void update(float delta) {\\n // Make sure to COPY the vector and not copy the reference\\n position = new Vector3f(entity.getPosition()).add(offset);\\n }\",\n \"public void collide(Entity entity) throws IllegalArgumentException{\\n\\t \\n \\tif (this instanceof Ship && entity instanceof Ship) this.defaultCollide(entity);\\n \\telse if (this instanceof MinorPlanet && entity instanceof MinorPlanet) this.defaultCollide(entity);\\n \\telse if (entity instanceof Bullet) {\\n \\t\\tBullet bullet = (Bullet) entity;\\n \\t\\tif (bullet.getBulletSource() == this) bullet.bulletCollideOwnShip((Ship) this);\\n \\t\\telse bullet.bulletCollideSomethingElse(this);\\n \\t\\t}\\n \\t\\n \\telse if (this instanceof Bullet) {\\n \\t\\tBullet bullet = (Bullet) this;\\n \\t\\tif (bullet.getBulletSource() == entity) bullet.bulletCollideOwnShip((Ship) entity);\\n \\t\\telse bullet.bulletCollideSomethingElse(entity);\\n \\t\\t}\\n \\t\\n \\telse if ((this instanceof Ship && entity instanceof Asteroid) || (entity instanceof Ship && this instanceof Asteroid)){\\n \\t\\tShip ship = null;\\n \\t\\tif (this instanceof Ship){\\n \\t\\t\\tship = (Ship) this;\\n \\t\\t} else {\\n \\t\\t\\tship = (Ship) entity;\\n \\t\\t}\\n \\t\\tship.terminate();\\n \\t}\\n \\t\\n \\telse if ((this instanceof Ship && entity instanceof Planetoid) || (entity instanceof Ship && this instanceof Planetoid)){\\n \\t\\tShip ship = null;\\n \\t\\tif (this instanceof Ship){\\n \\t\\t\\tship = (Ship) this;\\n \\t\\t} else {\\n \\t\\t\\tship = (Ship) entity;\\n \\t\\t}\\n \\t\\t\\n \\t\\tWorld world = ship.getSuperWorld();\\n \\t\\tdouble xnew = Helper.randomInBetween(this.getRadius(), world.getWorldWidth());\\n \\t\\tdouble ynew = Helper.randomInBetween(this.getRadius(), world.getWorldHeight());\\n \\t\\tship.setPosition(xnew, ynew);\\n \\t\\t\\n \\t\\twhile (! this.overlapAnyEntity()){\\n \\t\\t\\txnew = Helper.randomInBetween(this.getRadius(), world.getWorldWidth());\\n \\t\\t\\tynew = Helper.randomInBetween(this.getRadius(), world.getWorldHeight());\\n \\t\\t\\tship.setPosition(xnew, ynew);\\n \\t\\t\\t}\\n \\t}\\n\\t \\t\\n \\t\\n }\",\n \"public void update(){\\n posX += velX;\\n posY += velY;\\n }\",\n \"@Override\\n\\tpublic void travel(float strafe, float vertical, float forward) {\\n\\t\\tif (this.isInWater()) {\\n\\t\\t\\tthis.moveRelative(strafe, vertical, forward, 0.02F);\\n\\t\\t\\tthis.move(MoverType.SELF, this.motionX, this.motionY, this.motionZ);\\n\\t\\t\\tthis.motionX *= 0.800000011920929D;\\n\\t\\t\\tthis.motionY *= 0.800000011920929D;\\n\\t\\t\\tthis.motionZ *= 0.800000011920929D;\\n\\t\\t} else if (this.isInLava()) {\\n\\t\\t\\tthis.moveRelative(strafe, vertical, forward, 0.02F);\\n\\t\\t\\tthis.move(MoverType.SELF, this.motionX, this.motionY, this.motionZ);\\n\\t\\t\\tthis.motionX *= 0.5D;\\n\\t\\t\\tthis.motionY *= 0.5D;\\n\\t\\t\\tthis.motionZ *= 0.5D;\\n\\t\\t} else {\\n\\t\\t\\tfloat f = 0.91F;\\n\\n\\t\\t\\tif (this.onGround) {\\n\\t\\t\\t\\t//f = this.world.getBlockState(new BlockPos(MathHelper.floor(this.posX), MathHelper.floor(this.getEntityBoundingBox().minY) - 1, MathHelper.floor(this.posZ))).getBlock().slipperiness * 0.91F;\\n\\t\\t\\t\\tBlockPos underPos = new BlockPos(MathHelper.floor(this.posX), MathHelper.floor(this.getEntityBoundingBox().minY) - 1, MathHelper.floor(this.posZ));\\n\\t\\t\\t\\tIBlockState underState = this.world.getBlockState(underPos);\\n\\t\\t\\t\\tf = underState.getBlock().getSlipperiness(underState, this.world, underPos, this) * 0.91F;\\n\\t\\t\\t}\\n\\n\\t\\t\\tfloat f1 = 0.16277136F / (f * f * f);\\n\\t\\t\\tthis.moveRelative(strafe, vertical, forward, this.onGround ? 0.1F * f1 : 0.02F);\\n\\t\\t\\tf = 0.91F;\\n\\n\\t\\t\\tif (this.onGround) {\\n\\t\\t\\t\\t//f = this.world.getBlockState(new BlockPos(MathHelper.floor(this.posX), MathHelper.floor(this.getEntityBoundingBox().minY) - 1, MathHelper.floor(this.posZ))).getBlock().slipperiness * 0.91F;\\n\\t\\t\\t\\tBlockPos underPos = new BlockPos(MathHelper.floor(this.posX), MathHelper.floor(this.getEntityBoundingBox().minY) - 1, MathHelper.floor(this.posZ));\\n\\t\\t\\t\\tIBlockState underState = this.world.getBlockState(underPos);\\n\\t\\t\\t\\tf = underState.getBlock().getSlipperiness(underState, this.world, underPos, this) * 0.91F;\\n\\t\\t\\t}\\n\\n\\t\\t\\tthis.move(MoverType.SELF, this.motionX, this.motionY, this.motionZ);\\n\\t\\t\\tthis.motionX *= (double)f;\\n\\t\\t\\tthis.motionY *= (double)f;\\n\\t\\t\\tthis.motionZ *= (double)f;\\n\\t\\t}\\n\\n\\t\\tthis.prevLimbSwingAmount = this.limbSwingAmount;\\n\\t\\tdouble d1 = this.posX - this.prevPosX;\\n\\t\\tdouble d0 = this.posZ - this.prevPosZ;\\n\\t\\tfloat f2 = MathHelper.sqrt(d1 * d1 + d0 * d0) * 4.0F;\\n\\n\\t\\tif (f2 > 1.0F) {\\n\\t\\t\\tf2 = 1.0F;\\n\\t\\t}\\n\\n\\t\\tthis.limbSwingAmount += (f2 - this.limbSwingAmount) * 0.4F;\\n\\t\\tthis.limbSwing += this.limbSwingAmount;\\n\\t}\",\n \"public void act(){\\n if (alive) {\\n x = x + vx * dt;\\n vx = vx * (1. - daempfung); //Luftwiderstand, eventuell muss dass nur in der Spielerklasse implementiert\\n //werden, damit die Pilze nicht abgebremst werden.\\n if (bewegung == Bewegung.fallen) {\\n y = y + vy * dt;\\n vy = vy + g * dt;\\n }\\n }\\n }\",\n \"@Override\\n\\tpublic void updateEntity() {\\n\\t\\t\\n\\t\\tif (this.mobID != null && !this.worldObj.isRemote) {\\n\\t\\t\\t\\n\\t\\t\\tif (this.delay > 0) {\\n\\t\\t\\t\\tthis.delay--;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tEntity entity = EntityList.createEntityByName(this.mobID, this.worldObj);\\n\\t\\t\\t\\n\\t\\t\\t// L'entity n'existe pas\\n\\t\\t\\tif (entity == null) {\\n\\t\\t\\t\\tModGollumCoreLib.log.warning(\\\"This mob \\\"+this.mobID+\\\" isn't register\\\");\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tthis.worldObj.setBlockToAir(this.xCoord , this.yCoord , this.zCoord);\\n\\t\\t\\t\\n\\t\\t\\tdouble x = (double)this.xCoord + 0.5D;\\n\\t\\t\\tdouble y = (double)(this.yCoord);// + this.worldObj.rand.nextInt(3) - 1);\\n\\t\\t\\tdouble z = (double)this.zCoord + 0.5D;\\n\\t\\t\\tEntityLiving entityLiving = entity instanceof EntityLiving ? (EntityLiving)entity : null;\\n\\t\\t\\tentity.setLocationAndAngles(x, y, z, this.worldObj.rand.nextFloat() * 360.0F, this.worldObj.rand.nextFloat() * 360.0F);\\n\\t\\t\\tthis.worldObj.spawnEntityInWorld(entity);\\n\\t\\t\\t\\n\\t\\t\\tif (entityLiving == null || entityLiving.getCanSpawnHere()) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tthis.worldObj.playSoundEffect (this.xCoord, this.yCoord, this.zCoord, \\\"dig.stone\\\", 0.5F, this.worldObj.rand.nextFloat() * 0.25F + 0.6F);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif (entityLiving != null) {\\n\\t\\t\\t\\t\\tentityLiving.spawnExplosionParticle();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"@Override\\n public void onLivingUpdate() {\\n if (this.lastEntityToAttack != this.entityToAttack) {\\n IAttributeInstance attribute = this.getEntityAttribute(SharedMonsterAttributes.movementSpeed);\\n attribute.removeModifier(EntityEnderCreeper.attackingSpeedBoost);\\n if (this.entityToAttack != null) {\\n attribute.applyModifier(EntityEnderCreeper.attackingSpeedBoost);\\n }\\n }\\n this.lastEntityToAttack = this.entityToAttack;\\n\\n for (int i = 0; i < 2; i++) {\\n this.worldObj.spawnParticle(\\\"portal\\\", this.posX + (this.rand.nextDouble() - 0.5) * this.width, this.posY + this.rand.nextDouble() * this.height - 0.25, this.posZ + (this.rand.nextDouble() - 0.5) * this.width, (this.rand.nextDouble() - 0.5) * 2.0, -this.rand.nextDouble(), (this.rand.nextDouble() - 0.5) * 2.0);\\n }\\n if (this.worldObj.isDaytime() && !this.worldObj.isRemote) {\\n float brightness = this.getBrightness(1.0F);\\n if (brightness > 0.5F && this.worldObj.canBlockSeeTheSky((int)Math.floor(this.posX), (int)Math.floor(this.posY), (int)Math.floor(this.posZ)) && this.rand.nextFloat() * 30.0F < (brightness - 0.4F) * 2.0F) {\\n this.entityToAttack = null;\\n this.teleportRandomly();\\n }\\n }\\n if (this.isWet()) {\\n this.attackEntityFrom(DamageSource.drown, 1);\\n this.entityToAttack = null;\\n this.teleportRandomly();\\n }\\n this.isJumping = false;\\n if (this.entityToAttack != null) {\\n if (this.entityToAttack.getDistanceSqToEntity(this) < 9.0 && this.canEntityBeSeen(this.entityToAttack)) {\\n this.setCreeperState(1);\\n }\\n else {\\n this.setCreeperState(-1);\\n }\\n this.faceEntity(this.entityToAttack, 100.0F, 100.0F);\\n }\\n if (!this.worldObj.isRemote && this.isEntityAlive()) {\\n if (this.entityToAttack != null) {\\n if (this.entityToAttack instanceof EntityPlayer && this.shouldAttackPlayer((EntityPlayer)this.entityToAttack)) {\\n if (this.getCreeperState() < 0 && this.entityToAttack.getDistanceSqToEntity(this) < 16.0) {\\n this.teleportRandomly();\\n }\\n this.teleportDelay = 0;\\n }\\n else if (this.entityToAttack.getDistanceSqToEntity(this) > 256.0 && this.teleportDelay++ >= 30 && this.teleportToEntity(this.entityToAttack)) {\\n this.teleportDelay = 0;\\n }\\n }\\n else {\\n this.teleportDelay = 0;\\n }\\n }\\n super.onLivingUpdate();\\n }\",\n \"public void updateAccelerations(double xLimit, double yLimit) {\\n // Loop all entities and update their accelerations in parallel\\n entities.parallelStream().forEach(cur -> {\\n int alignmentNeighbors = 0;\\n int cohesionNeighbors = 0;\\n int separationNeighbors = 0;\\n Vector2D alignment = new Vector2D();\\n Vector2D cohesion = new Vector2D();\\n Vector2D separation = new Vector2D();\\n\\n // Use nearby entities to determinate forces\\n for (Entity ee : entities) {\\n if (ee == cur) continue;\\n //if (cur.angleToEntity(ee) > detectionAngleBox.val/2) continue;\\n double dist = Math.max(cur.distanceFrom(ee), 0.001);\\n\\n if (dist < alignmentDistanceBox.val) {\\n alignmentNeighbors++;\\n alignment.add(ee.getVelocity());\\n }\\n if (dist < cohesionDistanceBox.val) {\\n cohesionNeighbors++;\\n cohesion.add(ee.getPosition());\\n }\\n if (dist < separationDistanceBox.val) {\\n separationNeighbors++;\\n separation.add(new Vector2D(cur.getPosition()).subtract(ee.getPosition())\\n .ensureDirection()\\n .divide(dist*dist));\\n }\\n }\\n\\n if (alignmentNeighbors != 0)\\n alignment\\n .divide(alignmentNeighbors)\\n .setMagnitude(maxSpeedBox.val)\\n .subtract(cur.getVelocity())\\n .limit(maxForceBox.val);\\n if (cohesionNeighbors != 0)\\n cohesion\\n .divide(cohesionNeighbors)\\n .subtract(cur.getPosition())\\n .setMagnitude(maxSpeedBox.val)\\n .subtract(cur.getVelocity())\\n .limit(maxForceBox.val);\\n if (separationNeighbors != 0)\\n separation\\n .divide(separationNeighbors)\\n .setMagnitude(maxSpeedBox.val)\\n .subtract(cur.getVelocity())\\n .limit(maxForceBox.val);\\n\\n cur.getAcceleration()\\n .add(alignment.multiply(alignmentMultiplierBox.val))\\n .add(cohesion.multiply(cohesionMultiplierBox.val))\\n .add(separation.multiply(separationMultiplierBox.val))\\n .limit(maxSpeedBox.val);\\n\\n // Border force\\n double bfX = cur.getX() < xLimit/2 ? 100/Math.pow(cur.getX(),2) : -100/Math.pow(xLimit - cur.getX(),2);\\n double bfY = cur.getY() < yLimit/2 ? 100/Math.pow(cur.getY(),2) : -100/Math.pow(yLimit - cur.getY(),2);\\n cur.getAcceleration().add(new Vector2D(bfX, bfY)).limit(maxSpeedBox.val);\\n });\\n }\",\n \"@Override\\n public void move(Entity e) {\\n\\n if (Collsiontick > 0) {\\n Collsiontick--;\\n }\\n tick++;\\n float deltax = x - player.x;\\n float deltay = y - player.y;\\n float speed = getSpeed();\\n if(Math.abs(speed) < 0.1 && Collsiontick/50<=1){\\n float theta = (float) (Math.atan(deltay / deltax) + Math.PI);\\n xv = (float) ((TOP_SPEED * Math.cos(theta)));\\n yv = (float) ((TOP_SPEED * Math.sin(theta)));\\n if (deltax < 0) {\\n xv = -xv;\\n yv = -yv;\\n }\\n }\\n \\n xv = Util.doFrictionX(xv, yv, FRICTION);\\n yv = Util.doFrictionY(xv, yv, FRICTION);\\n \\n \\n x += xv;\\n y += yv;\\n\\n shape = (Polygon) shape.transform(Transform.createTranslateTransform(xv, yv));\\n }\",\n \"public void onEntityWalking(World par1World, int par2, int par3, int par4, Entity par5Entity)\\r\\n {\\r\\n \\ttry \\r\\n \\t{\\r\\n \\t\\tEntityPlayer player = (EntityPlayer)par5Entity;\\r\\n \\t\\tplayer.addPotionEffect(new PotionEffect(Potion.resistance.id, 80, 20));\\r\\n \\t\\tplayer.setVelocity((player.posX - player.lastTickPosX)*20, 2.3, (player.posZ - player.lastTickPosZ)*20);\\r\\n \\t}\\r\\n \\tcatch(Exception e)\\r\\n \\t{\\r\\n \\t\\t\\r\\n \\t}\\r\\n \\t\\r\\n }\",\n \"private static void updateComponents(PhysicsGameObject obj, Vector3 position, Velocity velocity, Vector3 acceleration,double dt){\\n float newX = (float) (position.x +(dt * velocity.Vx) + (dt*acceleration.x * dt / 2));\\n float newY = (float) (position.y + (dt * velocity.Vy) + ( dt*acceleration.y * dt / 2));\\n\\n //v(t+h) = v(t) + h*a\\n float newVelX = (float) (velocity.Vx + dt * acceleration.x );\\n float newVelY = (float) (velocity.Vy + dt * acceleration.y );\\n\\n obj.setPositionX(newX);\\n obj.setPositionY(newY);\\n\\n obj.setVelocityComponents(newVelX, newVelY);\\n\\n\\n }\",\n \"protected void updateParticles() {\\n\\n\\t\\tfor (int i = 0; i < particles.size(); i++) {\\n\\t\\t\\tVParticle p = particles.get(i);\\n\\t\\t\\tif (p.neighbors == null) {\\n\\t\\t\\t\\tp.neighbors = particles;\\n\\t\\t\\t}\\n\\t\\t\\tfor (BehaviorInterface b : behaviors) {\\n\\t\\t\\t\\tb.apply(p);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tfor (int i = 0; i < particles.size(); i++) {\\n\\t\\t\\tVParticle p = particles.get(i);\\n\\t\\t\\tp.scaleVelocity(friction);\\n\\t\\t\\tp.update();\\n\\t\\t}\\n\\t}\",\n \"@Override\\r\\n public void onEntityCollidedWithBlock(World worldIn, BlockPos pos, IBlockState state, Entity entityIn)\\r\\n {\\r\\n TileEntity tile = worldIn.getTileEntity(pos);\\r\\n if (tile instanceof TileEntityTransformer && entityIn instanceof EntityPlayer)\\r\\n {\\r\\n ((TileEntityTransformer) tile).onStepped((EntityPlayer) entityIn);\\r\\n }\\r\\n super.onEntityCollidedWithBlock(worldIn, pos, state, entityIn);\\r\\n }\",\n \"public void update(float delta){\\n\\t\\tposition.add(velocity.cpy().mul(delta));\\n\\t\\tthis.bounds.setPosition(position.x, position.y);\\n\\t}\",\n \"public void updateVelocity (Body[] bodies, int dt) {\\n this.updateAcceleration(bodies);\\n this.vx += 0.5 * (this.ax + this.axplusone) * dt;\\n this.vy += 0.5 * (this.ay + this.ayplusone) * dt;\\n }\",\n \"public void update(float delta)\\n {\\n\\n x = acceleration.x;\\n y = acceleration.y;\\n x = x * delta; //to scale by frame rate to keep things smooth\\n y = y * delta;\\n\\n velocity.add(x, y); //sets new velocity\\n\\n if(velocity.y >350)\\n {\\n velocity.y = 350;\\n //Gdx.app.log(\\\"Block\\\", \\\"MAX SPEED\\\");\\n }\\n\\n x = velocity.x;\\n y = velocity.y;\\n x = x * delta;\\n y = y * delta;\\n\\n position.add(x,y); //sets new position\\n\\n //position.add(velocity.cpy().scl(delta));\\n\\n rect.set(position.x, position.y, width,height);\\n\\n if(position.y > gameHeight) //determine if object is still on screen\\n {\\n isScrolled = true;\\n }\\n }\",\n \"@Override\\n\\tprotected void processEntity(Entity entity, float deltaTime) {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void update(Entity entity, MapManager mapMgr, float delta) {\\n updateBoundingBoxPosition(_nextEntityPosition);\\n updatePortalLayerActivation(mapMgr);\\n if( _isMouseSelectEnabled ){\\n selectMapEntityCandidate(mapMgr);\\n _isMouseSelectEnabled = false;\\n }\\n\\n if ( !isCollisionWithMapLayer(entity, mapMgr) &&\\n !isCollisionWithMapEntities(entity, mapMgr) &&\\n _state == Entity.State.WALKING){\\n setNextPositionToCurrent(entity);\\n Camera camera = mapMgr.getCamera();\\n camera.position.set(_currentEntityPosition.x,\\n _currentEntityPosition.y, 0f);\\n camera.update();\\n } else {\\n updateBoundingBoxPosition(_currentEntityPosition);\\n }\\n calculateNextPosition(delta);\\n }\",\n \"public void renderTankPoints(List<GameCharacter> entities, GraphicsContext gc){\\n for(BaseGameEntity e1: entities) renderTankPoint(e1,gc);\\n }\",\n \"void renderSeparately(Entity entity, float scale);\",\n \"public void attack(Entity entity) {\\n\\t}\",\n \"@Override\\n public void update ( long t )\\n {\\n try\\n { \\n // Iterate through all entities, filtering by those that contain the specific set of components, that this system is intended to work with.\\n \\n for ( ECSEntity entity : engine.getEntities ().values () )\\n { \\n if ( entity.hasComponents ( transform, physics ) )\\n { \\n // Update physics simulation.\\n \\n updatePhysics ( entity, t );\\n \\n // Console logger.\\n \\n logger.log ();\\n }\\n } \\n \\n // Swap the double buffers.\\n \\n engine.swapBuffer ();\\n }\\n catch ( Exception e )\\n { \\n TextFormat.printFormattedException ( e, true );\\n }\\n }\",\n \"@Override\\n public void update() {\\n \\tif(++this.timeoutCounter < 5) { return; }\\n \\t\\n \\tList<EntityDog> dogList = this.world.getEntitiesWithinAABB(EntityDog.class, new AxisAlignedBB(this.pos.getX(), this.pos.getY() + 0.5D, this.pos.getZ(), this.pos.getX() + 1.0D, this.pos.getY() + 0.5D + 0.05000000074505806D, this.pos.getZ() + 1.0D).grow(5));\\n\\n \\tfor(EntityDog dog : dogList) {\\n \\t\\tdog.coords.setBowlPos(this.pos);\\n \\t\\n \\t\\tint slotIndex = DogUtil.getFirstSlotWithFood(dog, this.inventory);\\n \\tif(dog.getDogHunger() < 60 && slotIndex >= 0)\\n \\t\\tDogUtil.feedDog(dog, this.inventory, slotIndex);\\n }\\n \\t\\n \\tthis.timeoutCounter = 0;\\n }\",\n \"public void boingg(Player player) {\\n if (player.getCircle().getBoundsInParent().intersects(right.getBoundsInParent())) {\\n\\n if ((int) player.normalVelocityX == 0) {\\n player.normalVelocityX = 4;\\n } else {\\n player.normalVelocityX = Math.abs(player.normalVelocityX) * springiness;\\n }\\n\\n } else if (player.getCircle().getBoundsInParent().intersects(left.getBoundsInParent())) {\\n if ((int) player.normalVelocityX == 0) {\\n player.normalVelocityX = -4;\\n } else {\\n player.normalVelocityX = Math.abs(player.normalVelocityX) * -springiness;\\n }\\n } else {\\n player.normalVelocityX *= springiness;\\n }\\n\\n player.normalVelocityY *= -springiness;\\n player.angularVelocity *= -springiness;\\n \\n rectangle.setFill(AssetManager.springSkin(false));\\n\\n }\",\n \"public void tick() {\\n\\t\\tfor (Entity e : entities) {\\n\\t\\t\\te.tick();\\n\\t\\t}\\n\\t}\",\n \"@SuppressWarnings(\\\"rawtypes\\\")\\r\\n\\tpublic void actionPerformed(ActionEvent e) {\\n\\t\\t// Bullet //\\r\\n\\t\\t////////////\\r\\n\\t\\tArrayList msDOWN = GameCraft.getBulletDOWN();\\r\\n\\t\\tfor (int i = 0; i < msDOWN.size(); i++) {\\r\\n\\t\\t\\tBulletDOWN m = (BulletDOWN) msDOWN.get(i);\\r\\n\\t\\t\\tif (m.isVisible()) \\r\\n\\t\\t\\t\\tm.moveDOWN();\\r\\n\\t\\t\\telse msDOWN.remove(i);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tArrayList msUP = GameCraft.getBulletUP();\\r\\n\\t\\tfor (int i = 0; i < msUP.size(); i++) {\\r\\n\\t\\t\\tBulletUP m = (BulletUP) msUP.get(i);\\r\\n\\t\\t\\tif (m.isVisible()) \\r\\n\\t\\t\\t\\tm.moveUP();\\r\\n\\t\\t\\telse msUP.remove(i);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tArrayList msLEFT = GameCraft.getBulletLEFT();\\r\\n\\t\\tfor (int i = 0; i < msLEFT.size(); i++) {\\r\\n\\t\\t\\tBulletLEFT m = (BulletLEFT) msLEFT.get(i);\\r\\n\\t\\t\\tif (m.isVisible()) \\r\\n\\t\\t\\t\\tm.moveLEFT();\\r\\n\\t\\t\\telse msLEFT.remove(i);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tArrayList msRIGHT = GameCraft.getBulletRIGHT();\\r\\n\\t\\tfor (int i = 0; i < msRIGHT.size(); i++) {\\r\\n\\t\\t\\tBulletRIGHT m = (BulletRIGHT) msRIGHT.get(i);\\r\\n\\t\\t\\tif (m.isVisible()) \\r\\n\\t\\t\\t\\tm.moveRIGHT();\\r\\n\\t\\t\\telse msRIGHT.remove(i);\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tArrayList msEnemys = GameCraft.getEnemys();\\r\\n\\t\\tif(moveamount >= 150){\\r\\n\\t\\t\\tfor (int i = 0; i < msEnemys.size(); i++) {\\r\\n\\t\\t\\t\\tEnemys m = (Enemys) msEnemys.get(i);\\r\\n\\t\\t\\t\\tif (m.isVisible()){\\r\\n\\t\\t\\t\\t\\tm.moveMe();\\r\\n\\t\\t\\t\\t}else{ \\r\\n\\t\\t\\t\\t\\tmsEnemys.remove(i);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tmoveamount = 0;\\r\\n\\t\\t}\\r\\n\\t\\tmoveamount++;\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\tfor(int a = 0; a < msDOWN.size(); a++){\\r\\n\\t\\t\\tfor(int b = 0; b < msEnemys.size(); b++){\\r\\n\\t\\t\\t\\tBulletDOWN bdown = (BulletDOWN) msDOWN.get(a);\\r\\n\\t\\t\\t\\tEnemys enemy = (Enemys) msEnemys.get(b);\\r\\n\\t\\t\\t\\tint xbul = bdown.getX();\\r\\n\\t\\t\\t\\tint ybul = bdown.getY();\\r\\n\\t\\t\\t\\tint xenemy = enemy.getX();\\r\\n\\t\\t\\t\\tint yenemy = enemy.getY();\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif((xbul - xenemy < 20 && xbul - xenemy > -20) && ( ybul - yenemy < 20 && xbul - yenemy > -20)){\\r\\n\\t\\t\\t\\t\\tenemy.visible = false;\\r\\n\\t\\t\\t\\t\\tscoreamount++;\\r\\n\\t\\t\\t\\t\\t//GameCraft.SpawnEnemys();\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tfor(int a = 0; a < msRIGHT.size(); a++){\\r\\n\\t\\t\\tfor(int b = 0; b < msEnemys.size(); b++){\\r\\n\\t\\t\\t\\tBulletRIGHT bright = (BulletRIGHT) msRIGHT.get(a);\\r\\n\\t\\t\\t\\tEnemys enemy = (Enemys) msEnemys.get(b);\\r\\n\\t\\t\\t\\tint xbul = bright.getX();\\r\\n\\t\\t\\t\\tint ybul = bright.getY();\\r\\n\\t\\t\\t\\tint xenemy = enemy.getX();\\r\\n\\t\\t\\t\\tint yenemy = enemy.getY();\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif((xbul - xenemy < 20 && xbul - xenemy > -20) && ( ybul - yenemy < 20 && xbul - yenemy > -20)){\\r\\n\\t\\t\\t\\t\\tenemy.visible = false;\\r\\n\\t\\t\\t\\t\\tscoreamount++;\\r\\n\\t\\t\\t\\t\\t//GameCraft.SpawnEnemys();\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tfor(int a = 0; a < msLEFT.size(); a++){\\r\\n\\t\\t\\tfor(int b = 0; b < msEnemys.size(); b++){\\r\\n\\t\\t\\t\\tBulletLEFT bleft = (BulletLEFT) msLEFT.get(a);\\r\\n\\t\\t\\t\\tEnemys enemy = (Enemys) msEnemys.get(b);\\r\\n\\t\\t\\t\\tint xbul = bleft.getX();\\r\\n\\t\\t\\t\\tint ybul = bleft.getY();\\r\\n\\t\\t\\t\\tint xenemy = enemy.getX();\\r\\n\\t\\t\\t\\tint yenemy = enemy.getY();\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif((xbul - xenemy < 20 && xbul - xenemy > -20) && ( ybul - yenemy < 20 && xbul - yenemy > -20)){\\r\\n\\t\\t\\t\\t\\tenemy.visible = false;\\r\\n\\t\\t\\t\\t\\tscoreamount++;\\r\\n\\t\\t\\t\\t\\t//GameCraft.SpawnEnemys();\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tfor(int a = 0; a < msUP.size(); a++){\\r\\n\\t\\t\\tfor(int b = 0; b < msEnemys.size(); b++){\\r\\n\\t\\t\\t\\tBulletUP bup = (BulletUP) msUP.get(a);\\r\\n\\t\\t\\t\\tEnemys enemy = (Enemys) msEnemys.get(b);\\r\\n\\t\\t\\t\\tint xbul = bup.getX();\\r\\n\\t\\t\\t\\tint ybul = bup.getY();\\r\\n\\t\\t\\t\\tint xenemy = enemy.getX();\\r\\n\\t\\t\\t\\tint yenemy = enemy.getY();\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif((xbul - xenemy < 20 && xbul - xenemy > -20) && ( ybul - yenemy < 20 && xbul - yenemy > -20)){\\r\\n\\t\\t\\t\\t\\tenemy.visible = false;\\r\\n\\t\\t\\t\\t\\tscoreamount++;\\r\\n\\t\\t\\t\\t\\t//GameCraft.SpawnEnemys();\\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\\tEnemy 500 500\\r\\n\\t\\tBullet 510 510\\r\\n\\t\\t510 < 500 && 480 < 500 || 500 > 510 && 500 > 480\\r\\n\\t\\t500 > 320 && 500 > 380\\r\\n\\t\\t\\r\\n\\t\\t*/\\r\\n\\t\\t\\r\\n\\t\\t////////////\\r\\n\\t\\t// Bullet //\\r\\n\\t\\t////////////\\r\\n\\t\\tGameCraft.move();\\r\\n\\t\\trepaint(); \\r\\n\\t}\",\n \"public static void applyGravity() {\\n\\n\\t\\tfor (Ball b : Panel.balls) {\\n\\t\\t\\tb.setyVelocity(b.getyVelocity() + 2);\\n\\t\\t}\\n\\t}\",\n \"@Override\\r\\n\\tpublic void onEntityHit(LivingEntity ent) {\\n\\t\\tParUtils.createParticle(Particles.EXPLOSION, loc, 0, 0, 0, 1, 0);\\r\\n\\t\\tplaySound(Sound.ENTITY_DRAGON_FIREBALL_EXPLODE,loc,1,1);\\r\\n\\t\\tent.setVelocity(dir.multiply(speed));\\r\\n\\t\\tdamage(ent, 2, caster);\\r\\n\\t}\",\n \"List<Velocity> initialBallVelocities();\",\n \"void move() {\\n\\t\\tif (reachedEdge()) {\\n\\t\\t\\tvelocityX = velocityX * -1;\\n\\t\\t\\ty = y + 50;\\n\\t\\t}\\n\\t\\tif (reachedLeft()) {\\n\\t\\t\\tvelocityX = velocityX * -1;\\n\\t\\t\\ty = y + 50;\\n\\t\\t}\\n\\n\\t\\tx = x + velocityX;\\n\\t}\",\n \"public void onUsingTick(ItemStack stack, EntityLivingBase player, int count) {\\n/* 108 */ List<EntityItem> stuff = EntityUtils.getEntitiesInRange(player.field_70170_p, player.field_70165_t, player.field_70163_u, player.field_70161_v, player, EntityItem.class, 10.0D);\\n/* */ \\n/* */ \\n/* 111 */ if (stuff != null && stuff.size() > 0)\\n/* */ {\\n/* 113 */ for (EntityItem e : stuff) {\\n/* 114 */ if (!e.field_70128_L) {\\n/* */ \\n/* 116 */ double d6 = e.field_70165_t - player.field_70165_t;\\n/* 117 */ double d8 = e.field_70163_u - player.field_70163_u + (player.field_70131_O / 2.0F);\\n/* 118 */ double d10 = e.field_70161_v - player.field_70161_v;\\n/* 119 */ double d11 = MathHelper.func_76133_a(d6 * d6 + d8 * d8 + d10 * d10);\\n/* 120 */ d6 /= d11;\\n/* 121 */ d8 /= d11;\\n/* 122 */ d10 /= d11;\\n/* 123 */ double d13 = 0.3D;\\n/* 124 */ e.field_70159_w -= d6 * d13;\\n/* 125 */ e.field_70181_x -= d8 * d13 - 0.1D;\\n/* 126 */ e.field_70179_y -= d10 * d13;\\n/* 127 */ if (e.field_70159_w > 0.25D) e.field_70159_w = 0.25D; \\n/* 128 */ if (e.field_70159_w < -0.25D) e.field_70159_w = -0.25D; \\n/* 129 */ if (e.field_70181_x > 0.25D) e.field_70181_x = 0.25D; \\n/* 130 */ if (e.field_70181_x < -0.25D) e.field_70181_x = -0.25D; \\n/* 131 */ if (e.field_70179_y > 0.25D) e.field_70179_y = 0.25D; \\n/* 132 */ if (e.field_70179_y < -0.25D) e.field_70179_y = -0.25D; \\n/* 133 */ if (player.field_70170_p.field_72995_K) {\\n/* 134 */ FXDispatcher.INSTANCE.crucibleBubble((float)e.field_70165_t + (player.field_70170_p.field_73012_v\\n/* 135 */ .nextFloat() - player.field_70170_p.field_73012_v.nextFloat()) * 0.2F, (float)e.field_70163_u + e.field_70131_O + (player.field_70170_p.field_73012_v\\n/* 136 */ .nextFloat() - player.field_70170_p.field_73012_v.nextFloat()) * 0.2F, (float)e.field_70161_v + (player.field_70170_p.field_73012_v\\n/* 137 */ .nextFloat() - player.field_70170_p.field_73012_v.nextFloat()) * 0.2F, 0.33F, 0.33F, 1.0F);\\n/* */ }\\n/* */ } \\n/* */ } \\n/* */ }\\n/* */ }\",\n \"@Override\\n\\tpublic void enter(Entity entity) {\\n\\t\\tOfDouble posStreamIter = rand.doubles(2, -WANDER_EXTENT, WANDER_EXTENT).iterator();\\n\\t\\twanderGoal.set(posStreamIter.next().floatValue(),(float) posStreamIter.next().floatValue() );\\n\\t\\tGdx.app.log(\\\"AI\\\", entity.toString() + \\\" heading to position \\\" + this.wanderGoal.toString());\\n\\t}\",\n \"@EventHandler\\r\\n \\tpublic void onEntityExplode(EntityExplodeEvent event) \\r\\n \\t{\\n \\t\\tif (event.getEntityType() == EntityType.PRIMED_TNT) \\r\\n \\t\\t{\\r\\n \\t\\t\\tLocation eventLoc = event.getLocation();\\r\\n \\t\\t\\tServer server = plugin.getServer();\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t// Red towers\\r\\n \\t\\t\\tif (redBuildings.DestroyBuilding(BuildingType.Tower, eventLoc))\\r\\n \\t\\t\\t{\\r\\n \\t\\t\\t\\ttowerCounts.put(\\\"red\\\", redBuildings.BuildingsCount(BuildingType.Tower));\\r\\n\\t\\t\\t\\tserver.broadcastMessage(ChatColor.YELLOW + \\\"A \\\"+ ChatColor.RED + \\\"RED\\\" + ChatColor.YELLOW + \\\" Tower Has Been Destroyed! (\\\" + towerCounts.get(\\\"red\\\") + \\\" remaining)\\\");\\r\\n\\r\\n\\t\\t\\t\\t// Check if all towers are destroyed\\r\\n \\t\\t\\t\\t\\r\\n \\t\\t\\t\\tif (towerCounts.get(\\\"red\\\") == 0) \\r\\n \\t\\t\\t\\t\\tserver.broadcastMessage(ChatColor.YELLOW + \\\"All \\\"+ ChatColor.RED + \\\"RED\\\" + ChatColor.YELLOW + \\\" Towers Are Destroyed! Defend the NEXUS!\\\");\\r\\n \\t\\t\\t}\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t// Blue Towers\\r\\n \\t\\t\\tif (blueBuildings.DestroyBuilding(BuildingType.Tower, eventLoc))\\r\\n \\t\\t\\t{\\r\\n \\t\\t\\t\\ttowerCounts.put(\\\"blue\\\", blueBuildings.BuildingsCount(BuildingType.Tower));\\r\\n\\t\\t\\t\\tserver.broadcastMessage(ChatColor.YELLOW + \\\"A \\\"+ ChatColor.BLUE + \\\"BLUE\\\" + ChatColor.YELLOW + \\\" Tower Has Been Destroyed! (\\\" + towerCounts.get(\\\"blue\\\") + \\\" remaining)\\\");\\r\\n \\r\\n \\t\\t\\t\\t// Check if all towers are destroyed\\r\\n \\t\\t\\t\\tif (towerCounts.get(\\\"blue\\\") == 0) \\r\\n \\t\\t\\t\\t\\tserver.broadcastMessage(ChatColor.YELLOW + \\\"All \\\"+ ChatColor.BLUE + \\\"BLUE\\\" + ChatColor.YELLOW + \\\" Towers Are Destroyed! Defend the NEXUS!\\\");\\r\\n \\t\\t\\t}\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t\\r\\n \\t\\t\\t// Nexus\\r\\n \\t\\t\\tif (redBuildings.DestroyBuilding(BuildingType.Nexus, eventLoc))\\r\\n \\t\\t\\t{\\r\\n \\t\\t\\t\\tserver.broadcastMessage(ChatColor.RED + \\\"The RED NEXUS Has Been Destroyed!\\\" + ChatColor.BLUE + \\\" BLUE WINS!\\\");\\r\\n \\t\\t\\t}\\r\\n \\t\\t\\telse if (blueBuildings.DestroyBuilding(BuildingType.Nexus, eventLoc))\\r\\n \\t\\t\\t{\\r\\n \\t\\t\\t\\tserver.broadcastMessage(ChatColor.BLUE + \\\"The BLUE NEXUS Has Been Destroyed!\\\" + ChatColor.RED + \\\" RED WINS!\\\");\\r\\n \\t\\t\\t}\\r\\n \\t\\t}\\r\\n \\t\\t\\r\\n \\t}\",\n \"@Override\\n\\tpublic void update()\\n\\t{\\n\\t\\tsuper.update();\\n\\n\\t\\tcalcAcceleration();\\n\\t\\tsetVelocity(Vector2D.add(getVelocity(), getAcceleration()));\\n\\n\\t\\tcalcVelocity();\\n\\t\\tsetPosition(Vector2D.add(getPosition(), getVelocity()));\\n\\n\\t\\tbm.update(getPosition(), getWidth(), getHeight());\\n\\t}\",\n \"public void onEntityCollidedWithBlock(World world, int x, int y, int z, Entity entity)\\n {\\n \\tentity.setInWeb();\\n entity.motionY *= this.m_SinkRate;\\n }\",\n \"private void jump() {\\r\\n\\t\\tvelocity = new Vector(velocity.getX(), 7.0);\\r\\n\\t}\",\n \"public void moveEntity(Entity entity, Direction direction, float delta) {\\r\\n float newX = entity.getX();\\r\\n float newY = entity.getY();\\r\\n\\r\\n float velocity = entity.getVelocity();\\r\\n float distanceCovered = velocity * delta;\\r\\n\\r\\n switch (direction) {\\r\\n case NORTH:\\r\\n newY = newY + distanceCovered;\\r\\n if(isColliding(newX, newY))\\r\\n return;\\r\\n\\r\\n if(entity instanceof Player)\\r\\n gameCamera.moveCameraVertically(newY);\\r\\n break;\\r\\n case EAST:\\r\\n newX = newX + distanceCovered;\\r\\n if(isColliding(newX, newY))\\r\\n return;\\r\\n\\r\\n if(entity instanceof Player)\\r\\n gameCamera.moveCameraHorizontally(newX);\\r\\n break;\\r\\n case WEST:\\r\\n newX = newX - distanceCovered;\\r\\n if(isColliding(newX, newY))\\r\\n return;\\r\\n\\r\\n if(entity instanceof Player)\\r\\n gameCamera.moveCameraHorizontally(newX);\\r\\n break;\\r\\n case SOUTH:\\r\\n newY = newY - distanceCovered;\\r\\n if(isColliding(newX, newY))\\r\\n return;\\r\\n\\r\\n if(entity instanceof Player)\\r\\n gameCamera.moveCameraVertically(newY);\\r\\n break;\\r\\n }\\r\\n\\r\\n //TODO: Increase performance (e.g. only check for items when actually changing layer position)\\r\\n Position tilePosition = Utils.toTilePosition(newX + 20, newY + 20);\\r\\n Optional<Map.Entry<Position, Item>> optMapItem = getMapItem(tilePosition.x, tilePosition.y);\\r\\n if(optMapItem.isPresent()) {\\r\\n Map.Entry<Position, Item> itemEntry = optMapItem.get();\\r\\n entity.getItems().add(itemEntry.getValue());\\r\\n gameItems.remove(itemEntry.getKey());\\r\\n }\\r\\n\\r\\n entity.setMoving(true);\\r\\n entity.setX(newX);\\r\\n entity.setY(newY);\\r\\n }\",\n \"@Override\\n\\tpublic void execute(Entity entity, float deltaTime) {\\n\\t\\tTransformComponent tc = transformMapper.get(entity);\\n\\t\\tif(tc == null) {\\n\\t\\t\\tthrow new RuntimeException(\\\"State applied to entity without position.\\\");\\n\\t\\t}\\n\\t\\t\\n\\t\\tVector2 diff = new Vector2(wanderGoal);\\n\\t\\tdiff.sub(tc.position);\\n\\t\\tif( diff.len2() <= SEEK_TOLERANCE*SEEK_TOLERANCE) {\\n\\t\\t\\t// If close enough, move into a new wander state.\\n\\t\\t\\tstateMachine.changeState(entity, new WanderState(entity, stateMachine));\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\tPlayerControlComponent pcc = controlMapper.get(entity);\\n\\t\\t\\tpcc.shipControl.resetThrust();\\n\\t\\t\\t\\n\\t\\t\\t// Is the target in our front arc?\\n\\t\\t\\tfloat bearing = (diff.angle() - tc.rotation) % 360f;\\n\\t\\t\\tif( Math.abs(bearing) <= ARC_HALF_WIDTH) {\\n\\t\\t\\t\\t// fire forward\\n\\t\\t\\t\\tpcc.shipControl.setForwardThrust(1f);\\n\\t\\t\\t}\\n\\t\\t\\tif( bearing < -COURSE_TOLERANCE ) {\\n\\t\\t\\t\\tpcc.shipControl.setCWThrust(1f);\\n\\t\\t\\t\\t// turn left\\n\\t\\t\\t}\\n\\t\\t\\telse if( bearing > COURSE_TOLERANCE) {\\n\\t\\t\\t\\tpcc.shipControl.setCCWThrust(1f);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t}\",\n \"public void tick() {\\n if (!isActive || !entities[0].canCollide || !entities[1].canCollide) {\\n return;\\n }\\n\\n rectangles[0].x = boundaries[0].x - 1;\\n rectangles[1].x = boundaries[1].x - 1;\\n rectangles[0].y = boundaries[0].y - 1;\\n rectangles[1].y = boundaries[1].y - 1;\\n\\n isCollided = rectangles[0].intersects(rectangles[1]);\\n\\n if (isCollided && !firedEvent) {\\n lastEvent = new EntityEntityCollisionEvent(this);\\n onCollide();\\n start(lastEvent);\\n firedEvent = true;\\n }\\n if (!isCollided && firedEvent) {\\n onCollisionEnd();\\n end(lastEvent);\\n firedEvent = false;\\n }\\n if (previouslyCollided != isCollided) {\\n setBoundaryColors();\\n }\\n\\n previouslyCollided = isCollided;\\n }\",\n \"public void preStep(float invDT) {\\r\\n\\r\\n\\t\\t// calculate the spring's vector (pointing from body1 to body2) and length\\r\\n\\t\\tspring = new Vector2f(body2.getPosition());\\r\\n\\t\\tspring.add(r2);\\r\\n\\t\\tspring.sub(body1.getPosition());\\r\\n\\t\\tspring.sub(r1);\\r\\n\\t\\tspringLength = spring.length();\\r\\n\\t\\t\\r\\n\\t\\t// the spring vector needs to be normalized for applyImpulse as well!\\r\\n\\t\\tspring.normalise();\\r\\n\\t\\t\\r\\n\\t\\t// calculate the spring's forces\\r\\n\\t\\t// note that although theoretically invDT could never be 0\\r\\n\\t\\t// but here it can\\r\\n\\t\\tfloat springConst;\\r\\n\\t\\t\\r\\n\\t\\tif ( springLength < minSpringSize || springLength > maxSpringSize ) { \\r\\n\\t\\t\\t// Pre-compute anchors, mass matrix, and bias.\\r\\n\\t\\t\\tMatrix2f rot1 = new Matrix2f(body1.getRotation());\\r\\n\\t\\t\\tMatrix2f rot2 = new Matrix2f(body2.getRotation());\\r\\n\\t\\r\\n\\t\\t\\tr1 = MathUtil.mul(rot1,localAnchor1);\\r\\n\\t\\t\\tr2 = MathUtil.mul(rot2,localAnchor2);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t// the mass normal or 'k'\\r\\n\\t\\t\\tfloat rn1 = r1.dot(spring);\\r\\n\\t\\t\\tfloat rn2 = r2.dot(spring);\\r\\n\\t\\t\\tfloat kNormal = body1.getInvMass() + body2.getInvMass();\\r\\n\\t\\t\\tkNormal += body1.getInvI() * (r1.dot(r1) - rn1 * rn1) + body2.getInvI() * (r2.dot(r2) - rn2 * rn2);\\r\\n\\t\\t\\tmassNormal = 1 / kNormal;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t// The spring is broken so apply force to correct it\\r\\n\\t\\t\\t// note that we use biased velocities for this\\r\\n\\t\\t\\tfloat springImpulse =\\r\\n\\t\\t\\t\\tinvDT != 0 ? brokenSpringConst * (springLength - springSize) / invDT : 0;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tVector2f impulse = MathUtil.scale(spring, springImpulse);\\r\\n\\t\\t\\tbody1.adjustBiasedVelocity(MathUtil.scale(impulse, body1.getInvMass()));\\r\\n\\t\\t\\tbody1.adjustBiasedAngularVelocity((body1.getInvI() * MathUtil.cross(r1, impulse)));\\r\\n\\r\\n\\t\\t\\tbody2.adjustBiasedVelocity(MathUtil.scale(impulse, -body2.getInvMass()));\\r\\n\\t\\t\\tbody2.adjustBiasedAngularVelocity(-(body2.getInvI() * MathUtil.cross(r2, impulse)));\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tisBroken = true;\\r\\n\\t\\t\\treturn;\\r\\n\\t\\t\\t\\r\\n\\t\\t} else if ( springLength < springSize ) {\\r\\n\\t\\t\\tspringConst = compressedSpringConst;\\r\\n\\t\\t\\tisBroken = false;\\r\\n\\t\\t} else { // if ( springLength >= springSize )\\r\\n\\t\\t\\tspringConst = stretchedSpringConst;\\r\\n\\t\\t\\tisBroken = false;\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tfloat springImpulse =\\r\\n\\t\\t\\tinvDT != 0 ? springConst * (springLength - springSize) / invDT : 0;\\r\\n\\r\\n\\t\\t// apply the spring's forces\\r\\n\\t\\tVector2f impulse = MathUtil.scale(spring, springImpulse);\\r\\n\\t\\tbody1.adjustVelocity(MathUtil.scale(impulse, body1.getInvMass()));\\r\\n\\t\\tbody1.adjustAngularVelocity((body1.getInvI() * MathUtil.cross(r1, impulse)));\\r\\n\\r\\n\\t\\tbody2.adjustVelocity(MathUtil.scale(impulse, -body2.getInvMass()));\\r\\n\\t\\tbody2.adjustAngularVelocity(-(body2.getInvI() * MathUtil.cross(r2, impulse)));\\r\\n\\t}\",\n \"public static void collide (Planet p1, Planet p2, double dist, Vector vec){\\n \\n double cosVal = vec.xComponent/dist;\\n double sinVal = vec.yComponent/dist;\\n \\n double P1CalcVelX = (2*p2.mass/(p1.mass+p2.mass)) * p2.xVel;\\n double P1CalcVelY = (2*p2.mass/(p1.mass+p2.mass)) * p2.yVel;\\n \\n double xVelChangeP1 = Math.abs(cosVal * P1CalcVelX) + Math.abs(cosVal * P1CalcVelY);\\n double yVelChangeP1 = Math.abs(sinVal * P1CalcVelX) + Math.abs(sinVal * P1CalcVelY);\\n \\n \\n if (p1.xCoor < p2.xCoor){\\n xVelChangeP1 = -xVelChangeP1;\\n }\\n \\n if (p1.yCoor < p2.yCoor){\\n yVelChangeP1 = -yVelChangeP1; \\n }\\n \\n double P2CalcVelX = (2*p1.mass/(p1.mass+p2.mass)) * p1.xVel;\\n double P2CalcVelY = (2*p1.mass/(p1.mass+p2.mass)) * p1.yVel;\\n \\n double xVelChangeP2 = Math.abs(cosVal * P2CalcVelX) + Math.abs(cosVal * P2CalcVelY);\\n double yVelChangeP2 = Math.abs(sinVal * P2CalcVelX) + Math.abs(sinVal * P2CalcVelY);\\n\\n if (p2.xCoor < p1.xCoor){\\n xVelChangeP2 = -xVelChangeP2;\\n }\\n\\n if (p2.yCoor < p1.yCoor){\\n yVelChangeP2 = -yVelChangeP2; \\n }\\n \\n p1.changeVel(xVelChangeP1, yVelChangeP1);\\n p2.changeVel(xVelChangeP2, yVelChangeP2);\\n\\n }\",\n \"public void onUpdate() {\\n/* 150 */ this.prevPosX = this.posX;\\n/* 151 */ this.prevPosY = this.posY;\\n/* 152 */ this.prevPosZ = this.posZ;\\n/* */ \\n/* 154 */ if (this.particleAge++ >= this.particleMaxAge)\\n/* */ {\\n/* 156 */ setDead();\\n/* */ }\\n/* */ \\n/* 159 */ this.motionY -= 0.04D * this.particleGravity;\\n/* 160 */ moveEntity(this.motionX, this.motionY, this.motionZ);\\n/* 161 */ this.motionX *= 0.9800000190734863D;\\n/* 162 */ this.motionY *= 0.9800000190734863D;\\n/* 163 */ this.motionZ *= 0.9800000190734863D;\\n/* */ \\n/* 165 */ if (this.onGround) {\\n/* */ \\n/* 167 */ this.motionX *= 0.699999988079071D;\\n/* 168 */ this.motionZ *= 0.699999988079071D;\\n/* */ } \\n/* */ }\",\n \"public static void new_speed( Body body, double t ){\\r\\n body.currentState.vx = body.currentState.vx + body.currentState.ax * t; // new x velocity\\r\\n body.currentState.vy = body.currentState.vy + body.currentState.ay * t; // new y velocity\\r\\n body.currentState.vz = body.currentState.vz + body.currentState.az * t; // new z velocity\\r\\n }\",\n \"@Override\\n public void update() {\\n y += velY;\\n setRectHitBox();\\n }\",\n \"public void update() {\\n if (!outOfBounds()) {\\n super.move(dirVec.mul(ShadowDefend.getTimescale() * speed));\\n }\\n super.update();\\n }\",\n \"public void changeVel(double xV, double yV){ \\n this.xVel += xV;\\n this.yVel += yV;\\n }\",\n \"private void impulseTremplin(Part other, float velocity) {\\n\\t\\t// Plus l'objet arrive avec une vitesse importante plus le tremplin l'expulsera haut\\n\\t\\t// La velocity negative en x sert juste a donner un mouvement qui va plus vers la droite\\n\\t\\t// a l'objet qui rencontre le tremplin (les valeurs ont ete trouvees en tatonnant)\\n\\t\\tother.getEntity().applyImpulse(new Vector(-velocity / 4, 10f * (Math.abs(velocity) / 10)), null);\\n\\t}\",\n \"public void applyEntityCollision(Entity var1)\\n {\\n if (this.gotMovement)\\n {\\n if (var1 instanceof EntitySentry || var1 instanceof EntityTrackingGolem || var1 instanceof EntitySliderHostMimic || var1 instanceof EntitySentryGuardian || var1 instanceof EntitySentryGolem || var1 instanceof EntityBattleSentry || var1 instanceof EntitySlider || var1 instanceof EntityMiniSlider)\\n {\\n return;\\n }\\n\\n boolean var2 = var1.attackEntityFrom(DamageSource.causeMobDamage(this.slider), 6);\\n\\n if (var2 && var1 instanceof EntityLiving)\\n {\\n this.worldObj.playSoundAtEntity(this, \\\"aeboss.slider.collide\\\", 2.5F, 1.0F / (this.rand.nextFloat() * 0.2F + 0.9F));\\n\\n if (var1 instanceof EntityCreature || var1 instanceof EntityPlayer)\\n {\\n EntityLiving var3 = (EntityLiving) var1;\\n var3.motionY += 0.35D;\\n var3.motionX *= 2.0D;\\n var3.motionZ *= 2.0D;\\n }\\n\\n this.stop();\\n }\\n }\\n }\",\n \"private void generateMovementVector() {\\r\\n\\r\\n\\t\\t// load the cell's old targeting vector and target location\\r\\n\\t\\tCellMovementVector oldTargetingVector = me.getTargetingVector();\\r\\n\\t\\tnewTargetX = me.getTargetX();\\r\\n\\t\\tnewTargetY = me.getTargetY();\\r\\n\\r\\n\\t\\tString oldBehaviorType = me.getCurrBehavior(); // the behavior the cell had on the previous update\\r\\n\\t\\tString newBehaviorType = sourceBehavior.getBehaviorType(); // the behavior which this order will apply\\r\\n\\r\\n\\t\\t// depending on the movement-type behavior; calculate the new target coordinates\\r\\n\\t\\t// and vector\\r\\n\\r\\n\\t\\tif (newBehaviorType.equals(\\\"pursue\\\")) { // pursuit: move along a straight line to the target cell\\r\\n\\r\\n\\t\\t\\t// for pursuit, simply set the target coordinates to the location of the target\\r\\n\\t\\t\\t// cell\\r\\n\\t\\t\\t// movement vector scalar remains at default (1)\\r\\n\\t\\t\\tnewTargetX = target.getX();\\r\\n\\t\\t\\tnewTargetY = target.getY();\\r\\n\\r\\n\\t\\t} else if (newBehaviorType.equals(\\\"wander\\\")) { // wander: generate a random vector using the current position\\r\\n\\r\\n\\t\\t\\t// if we just started wandering or as we are approaching our last wander target,\\r\\n\\t\\t\\t// choose a new random target location\\r\\n\\t\\t\\t// also has a 15% chance to choose a new target location regardless, to prevent getting stuck\\r\\n\\t\\t\\tif (!oldBehaviorType.equals(\\\"wander\\\") || oldTargetingVector.getMagnitude() < 5 || me.getRNG().nextInt(100) < 14) {\\r\\n\\t\\t\\t\\tnewTargetX = me.getX() + (me.getRNG().nextDouble() - 0.5) * 200;\\r\\n\\t\\t\\t\\tnewTargetY = me.getY() + (me.getRNG().nextDouble() - 0.5) * 200;\\r\\n\\r\\n\\t\\t\\t} else if (oldBehaviorType.equals(\\\"wander\\\")) { // if we're already wandering, shuffle our destination\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// slightly\\r\\n\\t\\t\\t\\tnewTargetX = me.getTargetX() + (me.getRNG().nextDouble() - 0.5) * 6;\\r\\n\\t\\t\\t\\tnewTargetY = me.getTargetY() + (me.getRNG().nextDouble() - 0.5) * 6;\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t} else if (newBehaviorType.equals(\\\"evade\\\")) { // evasion: like pursuit, but in the opposite direction\\r\\n\\r\\n\\t\\t\\t// target a point in the opposite direction of the threat\\r\\n\\t\\t\\t// movement vector scalar default at 1\\r\\n\\t\\t\\tnewTargetX = 2 * me.getX() - target.getX();\\r\\n\\t\\t\\tnewTargetY = 2 * me.getY() - target.getY();\\r\\n\\r\\n\\t\\t} else if (newBehaviorType.equals(\\\"hunt\\\")) { // hunt: like pursuit, but with an extra large vector\\r\\n\\r\\n\\t\\t\\t// target our victim, like with pursuit\\r\\n\\t\\t\\tnewTargetX = target.getX();\\r\\n\\t\\t\\tnewTargetY = target.getY();\\r\\n\\t\\t\\t// but we can expend a burst of energy to chase them down\\r\\n\\t\\t\\tvectorScalar = 3;\\r\\n\\r\\n\\t\\t} else if (newBehaviorType.equals(\\\"sleep\\\")) { // sleep: do nothing\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tvectorScalar = 0;\\r\\n\\t\\t\\t\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tSystem.out.println(\\\"WARNING: Unrecognized behavior: \\\" + newBehaviorType + \\\".\\\");\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// correct the vector to avoid pointing out of the petri dish (leads to cell\\r\\n\\t\\t// stuck on wall)\\r\\n\\t\\tif (newTargetX < 15) {\\r\\n\\t\\t\\tnewTargetX = 15;\\r\\n\\t\\t} else if (newTargetX > me.getPetri().getSimulationWidth() - 15) {\\r\\n\\t\\t\\tnewTargetX = me.getPetri().getSimulationWidth() - 15;\\r\\n\\t\\t}\\r\\n\\t\\tif (newTargetY < 15) {\\r\\n\\t\\t\\tnewTargetY = 15;\\r\\n\\t\\t} else if (newTargetY > me.getPetri().getSimulationHeight() - 15) {\\r\\n\\t\\t\\tnewTargetY = me.getPetri().getSimulationHeight() - 15;\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tnewTargetingVector = me.getVectorToTarget(newTargetX, newTargetY); // if no changes were made to the targetX and\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// Y, the cell will continue moving along\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// the old path (based on old target coords)\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void updateForces() {\\n\\t\\tapplyForce(new Vector(0, 0.05));\\r\\n\\t}\",\n \"@Override\\n public void executeFrameWithDeltaTime(float timeInterval, PhysicsObject physicsObject) {\\n applyLimits();\\n if (this.minPoint.x == this.target.getTranslationX() && physicsObject.velocity.x < 0.0)\\n {\\n float vx = -physicsObject.velocity.x * this.bounce;\\n float vy = physicsObject.velocity.y;\\n physicsObject.velocity = new PointF(vx, vy);\\n doHaptic();\\n }\\n if (this.minPoint.y == this.target.getTranslationY() && physicsObject.velocity.y < 0.0)\\n {\\n float vx = physicsObject.velocity.x;\\n float vy = -physicsObject.velocity.y * this.bounce;\\n physicsObject.velocity = new PointF(vx, vy);\\n doHaptic();\\n }\\n if (this.maxPoint.x == this.target.getTranslationX() && physicsObject.velocity.x > 0.0)\\n {\\n float vx = -physicsObject.velocity.x * this.bounce;\\n float vy = physicsObject.velocity.y;\\n physicsObject.velocity = new PointF(vx, vy);\\n doHaptic();\\n }\\n if (this.maxPoint.y == this.target.getTranslationY() && physicsObject.velocity.y > 0.0)\\n {\\n float vx = physicsObject.velocity.x;\\n float vy = -physicsObject.velocity.y * this.bounce;\\n physicsObject.velocity = new PointF(vx, vy);\\n doHaptic();\\n }\\n }\",\n \"public void transform(String entity) {\\n double wx = entity_to_wxy.get(entity).getX(),\\n wy = entity_to_wxy.get(entity).getY();\\n int sx, sy;\\n entity_to_sxy.put(entity, (sx = wxToSx(wx)) + BundlesDT.DELIM + (sy = wyToSy(wy)));\\n entity_to_sx.put(entity, sx); entity_to_sy.put(entity, sy);\\n transform_id++;\\n }\",\n \"@EventHandler\\r\\n public void mobDmgLstn(EntityDamageByEntityEvent event) {\\r\\n if(plugin.getConfig().getBoolean(\\\"enablePhaseModifiers\\\")) {\\r\\n if (plugin.isNight()) {\\r\\n if (event.getDamager() instanceof Monster) {\\r\\n event.setDamage(event.getDamage() * main.DmgMult);\\r\\n } else if (event.getEntity() instanceof Monster) {\\r\\n event.setDamage(event.getDamage() / main.DmgMult);\\r\\n }\\r\\n }\\r\\n }\\r\\n }\",\n \"@Override\\n public void update(float dt) {\\n //bulletUpdate(dt,b2body);\\n stateTime += dt;\\n bulletUpdate(b2body,bulletSprite1);\\n bulletUpdate(b2body2,bulletSprite2);\\n bulletUpdate(b2body3,bulletSprite3);\\n\\n\\n\\n }\",\n \"public void explode(int posX, int posY, PVector force) {\\n\\t\\tif (posX >= gridX || posY >= gridY) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\n\\t\\thasExploded = true;\\n\\n\\t\\t// explosion force is a direct, linear blast\\n\\t\\tPVector vPos = new PVector(posX, posY);\\n\\t\\tPVector unitForce = force.normalize(null);\\n\\t\\tapp.println(unitForce);\\n\\n\\t\\twhile (vPos.x < gridX && vPos.y < gridY && vPos.x >= 0 & vPos.y >= 0) {\\n\\t\\t\\tcells[app.round(vPos.x) + (app.round(vPos.y) * gridX)].setVelocity(force);\\n\\t\\t\\tvPos.add(unitForce);\\n\\n\\t\\t\\tvPos.x = app.round(vPos.x);\\n\\t\\t\\tvPos.y = app.round(vPos.y);\\n\\t\\t}\\n\\t\\t// cells[posX + (posY * gridX)].setVelocity(force);\\n\\t}\",\n \"public void update(double dt, double fX, double fY){\\n\\n\\t\\tdouble aX = fX/mass;\\n\\t\\tdouble aY = fY/mass;\\n\\n\\t\\tdouble xxNewVel = dt*aX;\\n\\t\\tdouble yyNewVel = dt*aY;\\n\\n\\n\\t\\txxVel = xxVel + xxNewVel;\\n\\t\\tyyVel = yyVel + yyNewVel;\\n\\n\\t\\txxPos += dt*xxNewVel;\\n\\t\\tyyPos += dt*yyNewVel;\\n\\t}\",\n \"@Override\\n public void updateObjects(float delta, Matrix3x3f viewport, float width, float height) {\\n\\n //Checking terminal velocity\\n if (distFallen < TERMINAL_V) {\\n //Acceleration of gravity\\n ty -= (falling += Math.pow(9.80665f, 2) * delta);\\n distFallen++;\\n } else {\\n //Terminal was reached, so stop increasing fall speed.\\n ty -= falling;\\n }\\n\\n //If below screen\\n if (ty < (-1 * (height / 2 + 200))) {\\n this.isAlive = false;\\n }\\n\\n Matrix3x3f mat = Matrix3x3f.translate(tx, ty);\\n velocity = mat.mul(new Vector2f());\\n\\n //Translations\\n world = Matrix3x3f.translate(velocity);\\n //Multiply by viewport scalar\\n world = world.mul(viewport);\\n }\",\n \"public void clearVelocity();\",\n \"protected void update(float delta)\\n {\\n float stiffnessScale = 1f/16f;\\n\\n // FORCE CALCULATIONS\\n float springForceX = -owner.STIFFNESS*stiffnessScale*(position.x - desiredPosition.x);\\n float dampingForceX = owner.DAMPING * velocity.x;\\n float forceX = springForceX - dampingForceX;\\n\\n float springForceY = -owner.STIFFNESS*stiffnessScale*(position.y - desiredPosition.y);\\n float dampingForceY = owner.DAMPING * velocity.y;\\n float forceY = springForceY - dampingForceY;\\n\\n float springForceZ = -owner.STIFFNESS*stiffnessScale*(position.z - desiredPosition.z);\\n float dampingForceZ = owner.DAMPING * velocity.z;\\n float forceZ = springForceZ - dampingForceZ;\\n\\n applyForce(forceX, forceY, forceZ);\\n\\n\\n velocity.x += acceleration.x * delta;\\n velocity.y += acceleration.y * delta;\\n velocity.z += acceleration.z * delta;\\n\\n position.x += velocity.x * delta;\\n position.y += velocity.y * delta;\\n position.z += velocity.z * delta;\\n //only want positive Z, as that is how the alpha color on the grid is determined\\n position.z = abs(position.z);\\n\\n //not really accurate but it works\\n velocity.scl(owner.DAMPING*delta);\\n if(velocity.len2() < MathUtils.FLOAT_ROUNDING_ERROR)\\n {\\n velocity.x = velocity.y = velocity.z = 0;\\n }\\n\\n color.lerp(desiredColor, delta * 0.5f);\\n }\",\n \"public void tick() {\\n boolean shouldHaltAfterTick = false;\\n\\n List<Pair<Movement, Bullet>> movements = new ArrayList<>();\\n\\n //Bullets on nodes\\n Map<Coordinate, Bullet> capturedBullets = new HashMap<>(bullets);\\n capturedBullets.keySet().retainAll(nodes.keySet());\\n\\n //Bullets not on nodes\\n Map<Coordinate, Bullet> freeBullets = new HashMap<>(bullets);\\n freeBullets.keySet().removeAll(capturedBullets.keySet());\\n\\n //Generate movements for free bullets\\n for (Map.Entry<Coordinate, Bullet> entry : freeBullets.entrySet()) {\\n Bullet bullet = entry.getValue();\\n Coordinate coord = entry.getKey();\\n Coordinate newCoord = entry.getKey().plus(bullet.getDirection()).wrap(width, height);\\n movements.add(new Pair<>(new Movement(coord, newCoord), bullet));\\n }\\n\\n //Update captured bullets\\n for (Map.Entry<Coordinate, Bullet> entry : capturedBullets.entrySet()) {\\n Coordinate coordinate = entry.getKey();\\n INode node = nodes.get(coordinate);\\n\\n // special case\\n if (node instanceof NodeHalt)\\n shouldHaltAfterTick = true;\\n\\n //TODO this brings great shame onto my family\\n Direction bulletDirection = entry.getValue().getDirection();\\n Direction dir = Direction.UP;\\n while (dir != node.getRotation()) {\\n dir = dir.clockwise();\\n bulletDirection = bulletDirection.antiClockwise();\\n }\\n Bullet bullet = new Bullet(bulletDirection, entry.getValue().getValue());\\n\\n Map<Direction, BigInteger> bulletParams = node.run(bullet);\\n\\n for (Map.Entry<Direction, BigInteger> newBulletEntry : bulletParams.entrySet()) {\\n //TODO this too\\n bulletDirection = newBulletEntry.getKey();\\n dir = Direction.UP;\\n while (dir != node.getRotation()) {\\n dir = dir.clockwise();\\n bulletDirection = bulletDirection.clockwise();\\n }\\n\\n Bullet newBullet = new Bullet(bulletDirection, newBulletEntry.getValue());\\n Coordinate newCoordinate = coordinate.plus(newBullet.getDirection()).wrap(width, height);\\n Movement movement = new Movement(coordinate, newCoordinate);\\n movements.add(new Pair<>(movement, newBullet));\\n }\\n }\\n\\n //Remove swapping bullets\\n List<Movement> read = new ArrayList<>();\\n Set<Coordinate> toDelete = new HashSet<>();\\n for (Pair<Movement, Bullet> pair : movements) {\\n Movement movement = pair.getKey();\\n Coordinate from = movement.getFrom();\\n Coordinate to = movement.getTo();\\n boolean foundSwaps = read.stream().anyMatch(other -> from.equals(other.getTo()) && to.equals(other.getFrom()));\\n if (foundSwaps) {\\n toDelete.add(from);\\n toDelete.add(to);\\n }\\n read.add(movement);\\n }\\n movements.removeIf(pair -> toDelete.contains(pair.getKey().getFrom()) || toDelete.contains(pair.getKey().getTo()));\\n\\n //Remove bullets that end in the same place\\n read.clear();\\n toDelete.clear();\\n for (Pair<Movement, Bullet> pair : movements) {\\n Movement movement = pair.getKey();\\n Coordinate to = movement.getTo();\\n boolean foundSameFinal = read.stream().anyMatch(other -> to.equals(other.getTo()));\\n if (foundSameFinal) {\\n toDelete.add(to);\\n }\\n read.add(movement);\\n }\\n movements.removeIf(pair -> toDelete.contains(pair.getKey().getTo()));\\n\\n //Move bullets\\n Map<Coordinate, Bullet> newBullets = new HashMap<>();\\n for (Pair<Movement, Bullet> pair : movements) {\\n Movement movement = pair.getKey();\\n Bullet bullet = pair.getValue();\\n newBullets.put(movement.getTo(), bullet);\\n }\\n\\n bullets.clear();\\n bullets.putAll(newBullets);\\n\\n if (shouldHaltAfterTick)\\n halt();\\n }\",\n \"public void move() {\\n\\t\\tdy += acceleration;\\n\\t\\tupdateTail();\\n\\t\\ty += dy;\\n\\t}\",\n \"public void calculateNextStepVelocity(double currentTime) {\\n // Update the velocity components for the entire grid\\n for (int i = 1; i < gridSizeX - 1; i++) {\\n for (int j = 1; j < gridSizeY - 1; j++) {\\n for (int k = 1; k < gridSizeZ - 1; k++) {\\n if (!obstacle[i][j][k]) {\\n calculateNextStepVelocityCell(i, j, k, currentTime);\\n calculateNextStepPressureCell(i, j, k);\\n }\\n }\\n }\\n }\\n u = uNext;\\n v = vNext;\\n w = wNext;\\n p = pNext;\\n applyPressureCorrection();\\n }\",\n \"@Override\\n public void tick() {\\n x+=velX;\\n y+=velY;\\n\\n if(Dante.getInstance().getX() <= x)\\n displayedImage = left;\\n else\\n displayedImage = right;\\n\\n choose = r.nextInt(50);\\n\\n for(int i = 0; i < Handler1.getInstance().objects.size(); i++) {\\n GameObject temp = Handler1.getInstance().objects.get(i);\\n\\n if(temp.getId() == ID.Block||temp.getId()==ID.Door|| temp.getId() == ID.Obstacle) {\\n if(getBoundsBigger().intersects(temp.getBounds())) {\\n x += (velX*2) * -1;\\n y += (velY*2) * -1;\\n velX *= -1;\\n velY *= -1;\\n } else if(choose == 0) {\\n velX = (r.nextInt(2 + 2) - 2) + speed;\\n velY = (r.nextInt(2 + 2) - 2) + speed;\\n\\n if (velX!=0){\\n if (velY<0){\\n velY+=1;\\n }else {\\n velY-=1;\\n }\\n }\\n\\n if (velY!=0){\\n if (velX>0){\\n velX-=1;\\n }else {\\n velX+=1;\\n }\\n }\\n }\\n }\\n if(temp.id==ID.Dante){\\n if (++tickCounter % (r.nextInt(50) + 50) == 0) {\\n\\n Handler1.getInstance().addObject(new Bullet(x, y, ID.Bullet,\\n temp.getX() +(r.nextInt( 11+11) -11),\\n temp.getY()+(r.nextInt(11 +11) -11),\\n 30, 1, bulletImage,30));\\n }\\n }\\n }\\n\\n if(hp <= 0) {\\n Random rand = new Random();\\n if(rand.nextInt(100) <= 33)\\n Handler1.getInstance().addObject(new Coin(x, y));\\n Handler1.getInstance().removeObject(this);\\n }\\n }\",\n \"public void moveOneStep(double dt) {\\r\\n double movementX = this.p.getX() + dt * this.vel.getDx();\\r\\n double movementY = this.p.getY() + dt * this.vel.getDy();\\r\\n Line trajectory = new Line(this.p, new Point(movementX, movementY));\\r\\n CollisionInfo collInfo = gameE.getClosestCollision(trajectory);\\r\\n // if there is a collision point collInfo doesn't equal to null.\\r\\n if (collInfo != null) {\\r\\n double x = this.getX();\\r\\n double y = this.getY();\\r\\n Point collisionPoint = collInfo.collisionPoint();\\r\\n Collidable obj = collInfo.collisionObject();\\r\\n Rectangle r = obj.getCollisionRectangle();\\r\\n // Check if the ball hit on one of the corners block.\\r\\n if (collisionPoint.getY() == collisionPoint.getX()) {\\r\\n // If the ball hit on the top corners.\\r\\n if (collisionPoint.getY() == r.getUpperLeft().getY()\\r\\n || collisionPoint.getX() == r.getUpperLeft().getX()) {\\r\\n x = collisionPoint.getX() - this.getSize() - 0.001;\\r\\n y = collisionPoint.getY() - this.getSize() - 0.001;\\r\\n // else the ball hit on the bottom corners.\\r\\n } else {\\r\\n x = collisionPoint.getX() + this.getSize() + 0.001;\\r\\n y = collisionPoint.getY() + this.getSize() + 0.001;\\r\\n }\\r\\n // Set a new velocity.\\r\\n this.setVelocity(obj.hit(this, collInfo.collisionPoint(), this.getVelocity()));\\r\\n this.p = new Point(x, y);\\r\\n return;\\r\\n }\\r\\n\\r\\n // If the ball hit on the left border block.\\r\\n if (collisionPoint.getX() == r.getUpperLeft().getX()) {\\r\\n x = collisionPoint.getX() - this.getSize() - 0.001;\\r\\n y = collisionPoint.getY();\\r\\n // If the ball hit on the right border block.\\r\\n } else if (collisionPoint.getX() == r.getWidth() + r.getUpperLeft().getX()) {\\r\\n x = collisionPoint.getX() + this.getSize() + 0.001;\\r\\n y = collisionPoint.getY();\\r\\n\\r\\n }\\r\\n // If the ball hit on the top border block.\\r\\n if (collisionPoint.getY() == r.getUpperLeft().getY()) {\\r\\n y = collisionPoint.getY() - this.getSize() - 0.001;\\r\\n x = collisionPoint.getX();\\r\\n // If the ball hit on the bottom border block.\\r\\n } else if (collisionPoint.getY() == r.getHeight() + r.getUpperLeft().getY()) {\\r\\n y = collisionPoint.getY() + this.getSize() + 0.001;\\r\\n x = collisionPoint.getX();\\r\\n }\\r\\n // set a new velocity.\\r\\n this.setVelocity(obj.hit(this, collInfo.collisionPoint(), this.getVelocity()));\\r\\n this.p = new Point(x, y);\\r\\n // else move the ball one step.\\r\\n } else {\\r\\n this.p = this.getVelocity().applyToPoint(this.p, dt);\\r\\n }\\r\\n }\",\n \"private void bounceOffHorizontalWall() {\\n vy = -vy;\\n }\",\n \"public void doItemEffect(RobotPeer robot){\\n\\t\\t//System.out.println(\\\"Energy = \\\" + robot.getEnergy());\\n\\t\\trobot.updateEnergy(-15);\\n\\t\\t//System.out.println(\\\"Poison item USED\\\");\\n\\t\\t//System.out.println(\\\"Energy = \\\" + robot.getEnergy());\\n\\t\\t\\n\\t}\",\n \"private void updateDelta() {\\n\\t\\tbulletDelta = Delta.getDelta(\\\"bullet\\\");\\n\\t\\tenemyDelta = Delta.getDelta(\\\"enemy\\\");\\n\\t}\",\n \"@Override\\n\\tpublic double calculateVelocity() {\\n\\t\\tdouble result = distance / time + velocitySame - velocityReverse;\\n\\t\\treturn result;\\n\\t}\",\n \"@Override\\n\\tpublic void onUpdate() {\\n\\t\\tif(!world.isRemote && !firstTick) {\\n\\t\\t\\tLCNetwork.net.sendToAllAround(new MessageSyncTNT(this), \\n\\t\\t\\t\\t\\tnew TargetPoint(this.dimension, this.posX, this.posY, this.posZ, 1024));\\n\\t\\t\\tfirstTick = true;\\n\\t\\t}\\n\\t\\t\\n\\t\\tthis.prevPosX = this.posX;\\n\\t\\tthis.prevPosY = this.posY;\\n\\t\\tthis.prevPosZ = this.posZ;\\n\\t\\tthis.motionY -= 0.03999999910593033D;\\n\\t\\tthis.move(MoverType.SELF, this.motionX, this.motionY, this.motionZ);\\n\\t\\tthis.motionX *= 0.9800000190734863D;\\n\\t\\tthis.motionY *= 0.9800000190734863D;\\n\\t\\tthis.motionZ *= 0.9800000190734863D;\\n\\n\\t\\tif (this.onGround)\\n\\t\\t{\\n\\t\\t\\tthis.motionX *= 0.699999988079071D;\\n\\t\\t\\tthis.motionZ *= 0.699999988079071D;\\n\\t\\t\\tthis.motionY *= -0.5D;\\n\\t\\t}\\n\\n\\t\\tif (this.fuse-- <= 0)\\n\\t\\t{\\n\\t\\t\\tthis.setDead();\\n\\n\\t\\t\\tif (!this.world.isRemote)\\n\\t\\t\\t{\\n\\t\\t\\t\\tthis.explode();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tthis.world.spawnParticle(EnumParticleTypes.SMOKE_LARGE, this.posX, this.posY + 0.5D, this.posZ, 0.0D, 0.0D, 0.0D);\\n\\t\\t}\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.58726394\",\n \"0.58243203\",\n \"0.5722518\",\n \"0.55968004\",\n \"0.5538374\",\n \"0.5460749\",\n \"0.54341495\",\n \"0.5401065\",\n \"0.5366211\",\n \"0.5354703\",\n \"0.5218502\",\n \"0.5197951\",\n \"0.5174223\",\n \"0.5168982\",\n \"0.5168666\",\n \"0.5165864\",\n \"0.51623946\",\n \"0.51615936\",\n \"0.51611185\",\n \"0.51495564\",\n \"0.5135239\",\n \"0.51317775\",\n \"0.5121466\",\n \"0.50999975\",\n \"0.5083114\",\n \"0.50690293\",\n \"0.50662905\",\n \"0.5065112\",\n \"0.50613993\",\n \"0.50586164\",\n \"0.50557137\",\n \"0.50430524\",\n \"0.50415576\",\n \"0.5036896\",\n \"0.5024935\",\n \"0.5020124\",\n \"0.50020975\",\n \"0.49959865\",\n \"0.49885926\",\n \"0.49747533\",\n \"0.49684197\",\n \"0.49566394\",\n \"0.49552056\",\n \"0.49428648\",\n \"0.49201915\",\n \"0.49114332\",\n \"0.49083695\",\n \"0.489997\",\n \"0.4893551\",\n \"0.48928985\",\n \"0.48911414\",\n \"0.48858616\",\n \"0.48741475\",\n \"0.48739222\",\n \"0.48738462\",\n \"0.48707446\",\n \"0.48649663\",\n \"0.48635063\",\n \"0.48545486\",\n \"0.4850123\",\n \"0.4848556\",\n \"0.48481438\",\n \"0.4845486\",\n \"0.48438355\",\n \"0.48438329\",\n \"0.4841636\",\n \"0.48351505\",\n \"0.4827143\",\n \"0.48204187\",\n \"0.47987738\",\n \"0.4794804\",\n \"0.4788409\",\n \"0.47876644\",\n \"0.47829032\",\n \"0.4780784\",\n \"0.4775439\",\n \"0.47654545\",\n \"0.47651795\",\n \"0.47511703\",\n \"0.47464886\",\n \"0.47397465\",\n \"0.47351062\",\n \"0.4725782\",\n \"0.47228184\",\n \"0.47088176\",\n \"0.47057092\",\n \"0.47025454\",\n \"0.46977496\",\n \"0.46953198\",\n \"0.46920064\",\n \"0.46916392\",\n \"0.46894825\",\n \"0.46889067\",\n \"0.46864834\",\n \"0.46844372\",\n \"0.46750212\",\n \"0.4672404\",\n \"0.4669604\",\n \"0.46659595\",\n \"0.46605957\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.56345063"},"document_rank":{"kind":"string","value":"3"}}},{"rowIdx":32584,"cells":{"query":{"kind":"string","value":"Called when the entity is attacked."},"document":{"kind":"string","value":"public boolean attackEntityFrom(DamageSource source, int damage)\r\n {\r\n if (damage > 15) { return true; }\r\n\r\n return false;\r\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public void attack(Entity entity) {\n\t}","@Override\n public void attack(Entity e) {\n e.hit(atk);\n }","@Override\n\tpublic void attack() {\n\n\t}","public void attack() {\n this.attacked = true;\n }","@Override\n\tpublic void attack() {\n\t\t\n\t}","@Override\n\tpublic void attack() {\n\t}","@Override\n public void attack() {\n\n }","@Override\n\tvoid attack() {\n\n\t}","public void attack() { \n db.attack(creatures.get(creatureId), players.get(playerId));\n creatures.set(creatureId, db.getCreature(creatures.get(creatureId).getId()));\n players.set(playerId, db.getPlayer(players.get(playerId).getId()));\n setTextFields();\n }","@Override\n public void attack(){\n\n }","public void attackEntity(Entity entity)\n/* 79: */ {\n/* 80:71 */ super.attackEntity(entity);\n/* 81: */ }","@Override\n\t\tpublic void hit(Npc attacker, Mob defender, Hit hit) {\n\t\t}","@Override\n\tpublic int attack( ){\n\t\treturn enemy.attack();\n\t}","@Override\r\n\tpublic void onEntityHit(LivingEntity ent) {\n\t\t\r\n\t}","@Override\r\n\tpublic void onEntityHit(LivingEntity ent) {\n\t\t\r\n\t}","public void attack() {\n\n }","public void attack() {\n if (activeWeapon == null) {\n return;\n }\n attacking = true;\n }","public void attack() {\n\t\t\n\t\tint row = getPosition().getRow();\n\t\tint column = getPosition().getColumn();\n\t\t\n\t\tgetPosition().setCoordinates(row + 1, column);\n\t\tsetPosition(getPosition()) ;\n\t\t// restore health\n\t\tsetHealth(100);\n\t\t// end hunter mode\n\t\tthis.hunter = false;\n\t\t\n\t}","@Override\n\tpublic void takeHit(int attack) {\n\n\t}","@Override\r\n\tpublic void Attack(Player arg0, Player arg1) {\n\t\t\r\n\t}","@Override\r\n\tpublic void Attack(Player arg0, Player arg1) {\n\t\t\r\n\t}","@Override\n\tpublic void onHitted(EntityDamageByEntityEvent e, Player damager, Player victim) {\n\t\t\n\t}","@Override\n\tpublic void onEntityDamaged(EntityDamageEvent e) {\n\t\t\n\t}","public void attack(CreatureAttack attack, Creature attacked){\r\n if(successfulHit(attack, attacked)){\r\n attacked.attributes.health.hit(attack, attacked);\r\n }\r\n }","@InvokeEvent\n public void onAttack(PlayerAttackEntityEvent event) {\n int multiplier = Configuration.INSTANCE.getMultiplier();\n // Create a variable for the entity.\n Entity entity = event.getEntity();\n // Create a variable for Minecraft#thePlayer\n EntityPlayer player = Minecraft.getMinecraft().thePlayer;\n // Check if the player is null, multiplier is 1 or Configuration#isMultiplyOnAnimals() is false.\n if (player == null || multiplier == 1 || !Configuration.INSTANCE.isMultiplyOnAnimals()) return;\n // Check if the attack was critical.\n boolean critical = player.fallDistance > 0.0f && !player.onGround && !player.isOnLadder() && !player.isInWater() && !player.isPotionActive(Potion.blindness) && player.ridingEntity == null;\n // Create a float to get the EMD (Enchantment Modifier Damage).\n float enchantment = EnchantmentHelper.getEnchantmentModifierDamage(new ItemStack[]{player.getHeldItem()}, new EntityDamageSource(\"player\", player));\n // Create a for statement which loops for the length of the multiplier and runs the code inside.\n for (int i = 1; i < multiplier; ++i) {\n // Checks if enabled.\n if (Configuration.INSTANCE.isEnabled()) {\n // Check if its a critical hit or the multiply without critical hits option is enabled run Minecraft#onCriticalHit(entity) to show the critical marks\n if (critical || Configuration.INSTANCE.isMultiplyWithoutCrits()) Minecraft.getMinecraft().thePlayer.onCriticalHit(entity);\n // Check if the enchantment float is over 0.0f run Minecraft#onEnchantmentCritical(entity) instead.\n if (enchantment > 0.0f) Minecraft.getMinecraft().thePlayer.onEnchantmentCritical(entity);\n }\n }\n }","@Override\n\tpublic void onHitPlayer(EntityDamageByEntityEvent e, Player damager, Player victim) {\n\t\t\n\t}","@Override\r\n\tpublic void onEntityHit(LivingEntity ent) {\n\r\n\t}","public void attack();","@Override\n\t\t\tpublic void attack(Base enemy) {\n\t\t\t}","@Override\r\n\tpublic void attack(DungeonCharacter that)\r\n\t{\n\t}","@Override\n\tpublic void attack() {\n\t\tSystem.out.println(\"빠르게 근접공격을 하다\");\n\t}","@EventHandler\n public void onEntityDamage(EntityDamageByEntityEvent e) {\n if (plugin.getConfig().getBoolean(\"EnabledDetections.Attack\") && e.getDamager() instanceof Player) {\n Player p = (Player) e.getDamager();\n plugin.getPlayer(p).interact();\n }\n }","@Override\n\t\tpublic void attack() {\n\t\t\tSystem.out.println(\"잽을 날리다\");\n\t\t}","@Override\r\n\tpublic void onEntityHit(LivingEntity ent) {\n\t\tParUtils.createParticle(Particles.EXPLOSION, loc, 0, 0, 0, 1, 0);\r\n\t\tplaySound(Sound.ENTITY_DRAGON_FIREBALL_EXPLODE,loc,1,1);\r\n\t\tent.setVelocity(dir.multiply(speed));\r\n\t\tdamage(ent, 2, caster);\r\n\t}","void evadeAttack(IUnit attacker, int incomingDamage);","public String attack(Entity e) {\n return super.attack(e) + \"\\n\" + super.attack(e);\n }","@Override\n\tpublic void attack(Slime slime) {\n\t\t\n\t}","@Override\n\t\tpublic void attack() {\n\t\t\tSystem.out.println(\"날으면서 원거리 공격을 하다.\");\n\t\t}","public void attackTargetCharacter() {\n }","@Override\n\tpublic String attack(Entity e) {\n\t\tRandom rand = new Random();\n\t\tint randomDamage = rand.nextInt(4); \n\t\te.takeDamage(randomDamage);\n\t\treturn \"hits \" + e.getName() + \" for \" + randomDamage + \" damage \";\n\t}","@Override\n\tpublic void attack() {\n\t\tSystem.out.println(\"땅밑에서 공격하다\");\n\t}","public void startExecuting() {\n this.attackTime = 20;\n ShulkerEntity.this.updateArmorModifier(100);\n }","@Override\n\tpublic void attack() {\n\t\tSystem.out.println(\" 원거리 공격을 하다\");\n\t}","public void attack(Entity entity, boolean aoe) {\n if(aoe) entity.damaged((int) (this.damage*0.6));\n else entity.damaged(this.damage);\n if(entity.isDead()){\n incExp(entity.getLevel()*9);\n if(entity instanceof Boss) {\n this.bossesDefeated++;\n }\n }\n }","@Override\n\tpublic void physicAttack() {\n\t\tSystem.out.println(\"进行物理攻击！\");\n\t}","public void attack(Player p){\n p.takeDamage(damage);\n }","@EventHandler(priority = EventPriority.HIGHEST, ignoreCancelled = true)\r\n public void onPlayerDamagedByPlayer(final EntityDamageByEntityEvent event) {\n if (!(event.getEntity() instanceof Player)) {\r\n return;\r\n }\r\n if (!(event.getDamager() instanceof Player)) {\r\n return;\r\n }\r\n \r\n final Player target = (Player)event.getEntity();\r\n final Player attacker = (Player)event.getDamager();\r\n final ItemStack is = attacker.getItemInHand();\r\n \r\n if (is != null){\r\n switch (is.getType()){\r\n case EMERALD:\r\n attacker.setItemInHand(ItemUtil.decrementItem(is, 1));\r\n \r\n // 体力・空腹回復、燃えてたら消化\r\n target.setHealth(target.getMaxHealth());\r\n target.setFoodLevel(20);\r\n target.setFireTicks(0);\r\n \r\n // ポーション効果付与\r\n target.addPotionEffect(new PotionEffect(PotionEffectType.REGENERATION, 45 * 20, 0)); // 45 secs\r\n target.addPotionEffect(new PotionEffect(PotionEffectType.FIRE_RESISTANCE, 7 * 60 * 20, 0)); // 7 mins\r\n target.addPotionEffect(new PotionEffect(PotionEffectType.INCREASE_DAMAGE, 9 * 60 * 20, 1)); // 9 mins\r\n target.addPotionEffect(new PotionEffect(PotionEffectType.SPEED, 9 * 60 * 20, 0)); // 9 mins\r\n target.addPotionEffect(new PotionEffect(PotionEffectType.FAST_DIGGING, 5 * 60 * 20, 1)); // 5 mins\r\n target.addPotionEffect(new PotionEffect(PotionEffectType.NIGHT_VISION, 3 * 60 * 20, 0)); // 3 mins\r\n \r\n // effect, messaging\r\n target.getWorld().playEffect(target.getLocation(), Effect.ENDER_SIGNAL, 0, 10);\r\n Util.message(target, PlayerManager.getPlayer(attacker).getName() + \" &aから特殊効果を与えられました！\");\r\n Util.message(attacker, PlayerManager.getPlayer(target).getName() + \" &aに特殊効果を与えました！\");\r\n \r\n event.setCancelled(true);\r\n event.setDamage(0);\r\n break;\r\n default: break;\r\n }\r\n }\r\n }","@Override\n public void hit(int damage)\n {\n state.hit(damage, this);\n }","@Override\n\tpublic void visit(EquipmentAttack e) {\n\t}","protected void attack() {\n int[] dir = orientationToArray(orientation);\n int newX = positionX + dir[0];\n int newY = positionY + dir[1];\n Skill currentSkill = grid.getPlayer().getBattleSkill();\n if (\n currentSkill != null\n && grid.valid(newX, newY)\n && grid.getPlayer().hasEnoughMp(currentSkill.getCost())\n && System.currentTimeMillis() - currentSkill.getLastUsed() > currentSkill.getCooldown()\n ) {\n Token token = new SkillToken(\n currentSkill.getImage(),\n newX,\n newY,\n grid,\n dir[0],\n dir[1],\n currentSkill\n );\n token.orientation = orientation;\n grid.addTokenAt(token, newX, newY);\n currentSkill.use(System.currentTimeMillis());\n new Thread(token).start();\n }\n grid.repaint();\n }","public void attack() {\n energy = 2;\n redBull = 0;\n gun = 0;\n target = 1;\n // if Player is in range take off a life.\n if (CharacterTask.ghostLocation == GameWindow.playerLocation) {\n playerLives = playerLives - 1;\n System.out.println(\"Player Lives: \" + playerLives);\n }\n }","public void onEntityDamage(EntityDamageEvent eventt)\r\n\t{\r\n\t\tplugin.do_damage(eventt);\r\n\t}","public void attack()\n {\n getWorld().addObject(new RifleBullet(player.getX(), player.getY(), 1, 6, true), getX(), getY()); \n }","public void playerAttack() {\n if (playerTurn==true) {\n myMonster.enemHealth=myMonster.enemHealth-battlePlayer.str;\n }\n playerTurn=false;\n enemyMove();\n }","public void handleAttack(int damage) {\n this.health -= damage;\n }","@Override\n\tpublic void attack() {\n\t\tSystem.out.println(\"Woof! Woof! *Crunch!*\");\n\t}","@Override\n\tpublic void onDamageTaken(Entity attacker, Entity defender, int damage, int entityAttackType) {\n\t\tif (attacker.getType() == EntityType.PLAYER && defender.getType() == EntityType.NPC) {\n\t\t\tPlayer attackerAsPlayer = (Player) attacker;\n\n\t\t\tNpc defenderAsNpc = (Npc) defender;\n\n\t\t\tif (phase == AbyssalSirePhase.SLEEPING && phaseProgressionEvent == null) {\n\t\t\t\tphaseProgressionEvent = new AbyssalSirePhaseProgressionEvent();\n\n\t\t\t\tCycleEventContainer<Entity> container = getEventHandler().addEvent(this, phaseProgressionEvent, 6);\n\n\t\t\t\trequestAnimation(4528);\n\t\t\t\tcontainer.addStopListener(() -> {\n\t\t\t\t\tif (phase == AbyssalSirePhase.SLEEPING) {\n\t\t\t\t\t\ttarget = attackerAsPlayer;\n\t\t\t\t\t\tfirstWake();\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t} else if (phase == AbyssalSirePhase.AWAKE) {\n\t\t\t\tif (attackerAsPlayer.getOldSpellId() > -1) {\n\t\t\t\t\tint spellDisorientation = DISORIENTING_SPELLS.getOrDefault(CombatConstants.MAGIC_SPELLS[attackerAsPlayer.getOldSpellId()][0], 0);\n\n\t\t\t\t\tif (spellDisorientation > 0) {\n\t\t\t\t\t\tdisorientation += spellDisorientation;\n\n\t\t\t\t\t\tif (disorientation >= 100) {\n\t\t\t\t\t\t\tdisorient();\n\t\t\t\t\t\t\tattackerAsPlayer.getPA().sendMessage(\"Your shadow spelled disoriented the Abyssal sire.\");\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tif (phase != AbyssalSirePhase.DISORIENTED) {\n\t\t\t\t\tdamageDisorientation += damage;\n\n\t\t\t\t\tif (damageDisorientation >= 75) {\n\t\t\t\t\t\tdisorient();\n\t\t\t\t\t\tattackerAsPlayer.getPA().sendMessage(\"Your damage slowly disoriented the Abyssal sire.\");\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\theal(ThreadLocalRandom.current().nextInt(1, Math.max(5, damage)));\n\t\t\t} else if (phase == AbyssalSirePhase.MELEE_COMBAT) {\n\t\t\t\tif ((defenderAsNpc.getCurrentHitPoints() <= 200)) {\n\t\t\t\t\twalkToCenter();\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}","@Override\n\tpublic void activate(Entity caller) {\n\t\tcaller.dealDamage(10);\n\t\t\n\t}","@Override\n\tpublic void OnAttackCommand() {\n\t\tsuper.OnAttackCommand();\n\t\tSoundManage.playSound(atkSound1);\n\t}","public abstract void attack(Player p);","@Override\r\n public void fromDeathToChase() {\r\n if (eaten()) {\r\n startChase();\r\n }\r\n }","@EventHandler\n\tpublic void attackMobs(EntityDamageByEntityEvent e) {\n\t\tMessages messagesConfig = plugin.getMsgs();\n\n\t\tif (e.getCause().equals(EntityDamageEvent.DamageCause.PROJECTILE)) { //Just my magic code w(o.o)w\n\t\t\treturn;\n\t\t}else if (e.getDamager() instanceof Player) {\n\t\t\tPlayer p = (Player) e.getDamager();\n\t\t\tItemStack pInv = p.getInventory().getItemInMainHand();\n\n\t\t\tif (!pInv.getType().name().contains(\"SWORD\") && !pInv.getType().name().contains(\"AXE\")) {\n\t\t\t\tif (!(e.getEntity() instanceof Chicken)) {\n\t\t\t\t\te.setCancelled(true);\n\n\t\t\t\t\tif (canSendMessage(p.getUniqueId()))\n\t\t\t\t\t\tp.sendMessage(StringUtil.inColor(messagesConfig.getCantHitWithoutSword()));\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}","private void attackPlayer()\n\t{\n\t\tif(shootTimer.done())\n\t\t{\n\t\t\tProjectile spiderWeb = new SpiderWeb(x, y);\n\t\t\tGame.objectWaitingRoom.add(spiderWeb);\n\t\t\tspiderWeb.shoot();\n\t\t\tshootTimer.setTime(200);\n\t\t}\n\t}","public String attack() {\r\n\t\t\tthis.getCurrentEnemy().setHealth(this.getCurrentEnemy().getHealth()-this.getPlayer().getWeapon().getAttack());\r\n\t\t\tif(this.getCurrentEnemy().isDefeated()) {\r\n\t\t\t\tthis.setInBattle(false);\r\n\t\t\t\t\r\n\t\t\t\tthis.handleQuestrelatedEnemy(this.getCurrentEnemy());\r\n\t\t\t\t\r\n\t\t\t\tif(this.getCurrentEnemy().getLoot() != null) {\r\n\t\t\t\t\tthis.getPlayer().getCurrentLocation().addItem(this.getCurrentEnemy().getLoot());\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\tthis.getPlayer().gainXp(this.getCurrentEnemy().getXpYield());\r\n\t\t\t\tthis.getPlayer().getCurrentLocation().removeNpc(this.getCurrentEnemy().getName());\r\n\t\t\t\tif(this.getCurrentEnemy().getClass().getName().equals(\"game.EnemyGuardian\")) {\r\n\t\t\t\t\t// adds paths between current location and location in the guardian, path names are specified in the guardian construction\r\n\t\t\t\t\tthis.getPlayer().getCurrentLocation().addPaths(this.getPlayer().getCurrentLocation(), ((EnemyGuardian)this.getCurrentEnemy()).getPathTo(),\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t((EnemyGuardian)this.getCurrentEnemy()).getGuardedLocation(), ((EnemyGuardian)this.getCurrentEnemy()).getPathFrom());\r\n\t\t\t\t\treturn \"You defeated \" + this.getCurrentEnemy().getName() + \". \\n\"\r\n\t\t\t\t\t\t\t+ ((EnemyGuardian)this.getCurrentEnemy()).getRevelationMessage() + \"\\n\";\r\n\t\t\t\t}\r\n\t\t\t\telse {\r\n\t\t\t\t\treturn \"You defeated \" + this.getCurrentEnemy().getName() + \".\";\t\t\t\t\t\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\telse {\r\n\t\t\t\tthis.triggerEnemyAttack();\r\n\t\t\t\t\tif(this.getPlayer().getHealth() <= 0) {\r\n\r\n\t\t\t\t\t\tthis.gameOver();\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\treturn \"You attacked \" + this.getCurrentEnemy().getName() + \" for \" + this.getPlayer().getWeapon().getAttack() + \" damage. \\n You DIED.\";\r\n\t\t\t\t\t}\r\n\t\t\t\t\telse {\r\n\t\t\t\t\t\treturn \"You attacked \" + this.getCurrentEnemy().getName() + \" for \" + this.getPlayer().getWeapon().getAttack() + \" damage. \\n\"\r\n\t\t\t\t\t\t\t\t+ this.getCurrentEnemy().getName() + \" attacked you for \" + this.getCurrentEnemy().getAttack() + \" damage.\\n\"\r\n\t\t\t\t\t\t\t\t\t\t+ this.getCurrentEnemy().printHealth();\r\n\t\t\t\t\t}\r\n\t\t\t}\r\n\t\t}","public void attack(){\n activity = CreatureActivity.ATTACK;\n createWeapon();\n endAttack = new CountDown(20); //100\n endAnimationAttack = new CountDown(100);\n }","public void attackEntity(Entity entityToHit) {\n ItemStack item = tinkerProjectile.getItemStack();\n ItemStack launcher = tinkerProjectile.getLaunchingStack();\n\n // deal damage if we have everything\n if(item.getItem() instanceof ToolCore && this.attacker != null) {\n EntityLivingBase attacker = (EntityLivingBase) this.attacker;\n //EntityLivingBase target = (EntityLivingBase) raytraceResult.entityHit;\n\n // find the actual itemstack in the players inventory\n ItemStack inventoryItem = AmmoHelper.getMatchingItemstackFromInventory(tinkerProjectile.getItemStack(), attacker, false);\n if(inventoryItem.isEmpty() || inventoryItem.getItem() != item.getItem()) {\n // backup, use saved itemstack\n inventoryItem = item;\n }\n\n // for the sake of dealing damage we always ensure that the impact itemstack has the correct broken state\n // since the ammo stack can break while the arrow travels/if it's the last arrow\n boolean brokenStateDiffers = ToolHelper.isBroken(inventoryItem) != ToolHelper.isBroken(item);\n if(brokenStateDiffers) {\n toggleBroken(inventoryItem);\n }\n\n Multimap<String, AttributeModifier> projectileAttributes = null;\n // remove stats from held items\n if(!world.isRemote) {\n unequip(attacker, EntityEquipmentSlot.OFFHAND);\n unequip(attacker, EntityEquipmentSlot.MAINHAND);\n\n // apply stats from projectile\n if(item.getItem() instanceof IProjectile) {\n projectileAttributes = ((IProjectile) item.getItem()).getProjectileAttributeModifier(inventoryItem);\n\n if(launcher.getItem() instanceof ILauncher) {\n ((ILauncher) launcher.getItem()).modifyProjectileAttributes(projectileAttributes, tinkerProjectile.getLaunchingStack(), tinkerProjectile.getItemStack(), tinkerProjectile.getPower());\n }\n\n // factor in power\n projectileAttributes.put(SharedMonsterAttributes.ATTACK_DAMAGE.getName(),\n new AttributeModifier(PROJECTILE_POWER_MODIFIER, \"Weapon damage multiplier\", tinkerProjectile.getPower() - 1f, 2));\n\n attacker.getAttributeMap().applyAttributeModifiers(projectileAttributes);\n }\n // deal the damage\n// ToolHelper.attackEntity(item, (ToolCore) item.getItem(), attacker, entityToHit, null);\n// float speed = MathHelper.sqrt(this.motionX * this.motionX + this.motionY * this.motionY + this.motionZ * this.motionZ);\n\n boolean attack = ToolHelper.attackEntity(item, (ToolCore) item.getItem(), attacker, entityToHit, null);\n// if(attack) {\n//// for(IProjectileTrait trait : tinkerProjectile.getProjectileTraits()) {\n//// trait.afterHit(tinkerProjectile.get, this.world, inventoryItem, attacker, entityToHit, (double) 0.0);\n//// }\n//\n// // if on fire, set the entity on fire, like vanilla arrows\n//// if (this.isBurning() && !(entityToHit instanceof EntityEnderman)) {\n//// entityToHit.setFire(5);\n//// }\n// }\n if(brokenStateDiffers) {\n toggleBroken(inventoryItem);\n }\n\n // remove stats from projectile\n // apply stats from projectile\n if(item.getItem() instanceof IProjectile) {\n assert projectileAttributes != null;\n attacker.getAttributeMap().removeAttributeModifiers(projectileAttributes);\n }\n\n // readd stats from held items\n equip(attacker, EntityEquipmentSlot.MAINHAND);\n equip(attacker, EntityEquipmentSlot.OFFHAND);\n }\n }else {\n System.out.println(\"something failed with attacking.\");\n }\n }","void defendAttack(IUnit attacker, int incomingDamage);","public abstract void attackPlayer(Player p);","@Override\n\tpublic boolean attackEntityAsMob(Entity entity) {\n\t\treturn attack(entity);\n\t}","public void Hit()\n {\n this.numLives--;\n //Oscillate visible and not if the number of lives is greater than zero\n if(this.numLives > 0)\n {\n this.damaged = true;\n this.Blink(1);\n\n }\n }","public void damaged() {\n this.damageState = DamageState.DAMAGED;\n }","@Override\r\n public void handleAttack(Player player) {\r\n player.decreaseHealth(3);\r\n player.setColor(true);\r\n }","protected void onImpact(RayTraceResult result) {\n\t\tif (result.entityHit != null) {\n\t\t\tfloat i = 2.5F;\n\n\t\t\tif (result.entityHit instanceof EntityBlizzard) {\n\t\t\t\ti = 0;\n\t\t\t}\n\n result.entityHit.attackEntityFrom(WorldsRetold.HAIL, i);\n\n\t\t\tif (result.entityHit instanceof EntityLivingBase) {\n\t\t\t\tEntityLivingBase target = (EntityLivingBase) result.entityHit;\n\t\t\t\tif (!this.world.isRemote) {\n\t\t\t\t\ttarget.addPotionEffect(new PotionEffect(HailstormPotions.FREEZING, 100, 0));\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif (!this.world.isRemote) {\n\t\t\tthis.world.setEntityState(this, (byte) 3);\n\t\t\tthis.setDead();\n\t\t}\n\t}","@Override\r\n\t\t\t\t\t\tpublic void run() {\n\t\t\t\t\t\t\tfor (Damage damage : actionAttack.damages) {\r\n\t\t\t\t\t\t\t\tBattlerSprite attacked = damage.target.getTag();\r\n\t\t\t\t\t\t\t\tattacked.takeHit(damage.damage);\t\r\n\t\t\t\t\t\t\t}\r\n\t\t\t\t\t\t}","public void battleEnemyAttack() {\n if(battleEnemy != null){ // If all enemies have attacked, they cannot attack anymore for this round\n\n MovingEntity target = battleEnemy.getAttackPreference(targetAllies);\n if(target == null){\n target = targetAlly;\n }\n\n battleEnemy.attack(target, targetEnemies, targetAllies);\n //System.out.println(battleEnemy.getID() + \" is attacking \" + target.getID() + \" remaining hp: \" + target.getCurrHP());\n if (updateTarget(target) == false) {\n // if target still alive, check if its still friendly incase of zombify\n targetAlly = checkSideSwap(targetAlly, false, battleEnemies, targetEnemies, battleAllies, targetAllies);\n }\n\n battleEnemy = nextAttacker(battleEnemy, battleEnemies);\n\n }\n }","public abstract boolean attack(Enemy w);","@Override\n\t\t\tpublic void hit(DamageEvent e) {\n\t\t\t\tonHit(e.dmged, e.item);\n\t\t\t}","@Override\n\tpublic void onDamageDealt(Entity attacker, Entity defender, int damage, int attackType) {\n\n\t}","@Override\r\n public void onHit(int damage){\n if(box2body != null){\r\n hp -= damage;\r\n screen.getGameManager().get(\"Sounds/orc-34-hit.wav\", Sound.class).play();\r\n if(this.hp <= 0) {\r\n screen.bodiesToDelete.add(box2body);\r\n deleteFlag = true;\r\n screen.spawnedCreatures.remove(this);\r\n screen.getGameManager().get(\"Sounds/orc-32-death.wav\", Sound.class).play();\r\n\r\n //Award Experience\r\n screen.getPlayer().awardExperience(this.experienceValue);\r\n screen.getPlayer().increaseKillCount();\r\n }\r\n }\r\n //Attack player when damaged\r\n //Prevents player from sniping monsters using Wander AI\r\n if(currentState != State.ATTACKING){\r\n Vector2 orcPosition = new Vector2(box2body.getPosition().x, box2body.getPosition().y);\r\n Vector2 playerPosition = new Vector2(screen.getPlayer().box2body.getPosition().x, screen.getPlayer().box2body.getPosition().y);\r\n\r\n currentState = State.HASBEENATTACKED;\r\n velocity = new Vector2(playerPosition.x - orcPosition.x, playerPosition.y - orcPosition.y);\r\n box2body.setLinearVelocity(velocity.scl(speed));\r\n }\r\n }","public abstract void attack(Vector2 spawnPos, Vector2 target);","protected void attack(){\n\t\tif(reloadTime-- <= 0){\n\t\t\treloadTime = 0;\n\t\t}\n\t\tif(!hostileInRange())\n\t\t\treturn;\n\t\tif(!rotate()){\n\t\t\tif(reloadTime <= 0){\n\t\t\t\tshotAt(this.target);\n\t\t\t}\n\t\t}\n\t}","public void act() \n {\n moveEnemy();\n checkHealth();\n attacked();\n }","public void tick() {\n if (ShulkerEntity.this.world.getDifficulty() != Difficulty.PEACEFUL) {\n --this.attackTime;\n LivingEntity livingentity = ShulkerEntity.this.getAttackTarget();\n ShulkerEntity.this.getLookController().setLookPositionWithEntity(livingentity, 180.0F, 180.0F);\n double d0 = ShulkerEntity.this.getDistanceSq(livingentity);\n if (d0 < 400.0D) {\n if (this.attackTime <= 0) {\n this.attackTime = 20 + ShulkerEntity.this.rand.nextInt(10) * 20 / 2;\n ShulkerEntity.this.world.addEntity(new ShulkerBulletEntity(ShulkerEntity.this.world, ShulkerEntity.this, livingentity, ShulkerEntity.this.getAttachmentFacing().getAxis()));\n ShulkerEntity.this.playSound(SoundEvents.ENTITY_SHULKER_SHOOT, 2.0F, (ShulkerEntity.this.rand.nextFloat() - ShulkerEntity.this.rand.nextFloat()) * 0.2F + 1.0F);\n }\n } else {\n ShulkerEntity.this.setAttackTarget((LivingEntity)null);\n }\n\n super.tick();\n }\n }","@EventHandler(ignoreCancelled = true)\n public void onEntityTame(EntityTameEvent event) {\n Entity entity = event.getEntity();\n Player owner = (Player) event.getOwner();\n if (Util.isTrackable(entity) && owner != null) {\n AbstractHorse abstractHorse = (AbstractHorse) entity;\n SavedHorse savedHorse = DB.findOrAddHorse(abstractHorse);\n DB.observe(savedHorse, abstractHorse);\n\n owner.playSound(owner.getLocation(), Sound.BLOCK_DISPENSER_DISPENSE, SoundCategory.NEUTRAL, 1f, 1f);\n owner.sendMessage(ChatColor.GOLD + \"This \" + Util.entityTypeName(abstractHorse) + \" has been locked.\");\n getLogger().info(owner.getName() + \" tamed \" + Util.entityTypeName(abstractHorse) + \" \" + entity.getUniqueId().toString());\n }\n }","public void beAttacked(int damage) {\r\n\t\tif (health > damage) {\r\n\t\t\thealth -= damage;\r\n\t\t}else {\r\n\t\t\thealth = 0;\r\n\t\t}\r\n\t}","public void Attack()\n\t{\n\t\tif(action && waitingFrames == 0)\n\t\t{\n\t\t\tspriteImageView.setImage(new Image(\"image/main_attack.png\"));\n\t\t\tswitch(getDirection())\n\t\t\t{\n\t\t\t\tcase \"UP\": \tspriteImageView.setViewport(new Rectangle2D(300, 0, width, height)); action = false; break;\n\t\t\t\tcase \"DOWN\": spriteImageView.setViewport(new Rectangle2D(0, 0, width, height)); action = false; break;\n\t\t\t\tcase \"LEFT\": spriteImageView.setViewport(new Rectangle2D(100, 0, width, height)); action = false; break;\n\t\t\t\tcase \"RIGHT\": spriteImageView.setViewport(new Rectangle2D(200, 0, width, height)); action = false; break;\n\t\t\t\tdefault: break;\n\t\t\t}\n\t\t\t\n\t\t}\n\t\t\n\t}","private void enemyAttack() {\n\t\t\n\t\tRandom rand = new Random();\t\n\t\t\n\t\tint roll = rand.nextInt(101);\n\t\t\n\t\tint sroll = rand.nextInt(101);\n\t\t\n\t\tevents.appendText(e.getName() + \" attacks!\\n\");\n\t\t\n\t\tif(roll <= p.getEV()) { // Player evades\n\t\t\t\n\t\t\tevents.appendText(\"You evaded \"+e.getName()+\"\\'s Attack!\\n\");\n\t\t\t\n\t\t}else if(roll > p.getEV()) { // Player is hit and dies if HP is 0 or less\n\t\t\t\n\t\t\tp.setHP(p.getHP() - e.getDMG());\n\t\t\t\n\t\t\tString newHp = p.getHP()+\"/\"+p.getMaxHP();\n\t\t\t\n\t\t\tString effect = e.getSpecial(); // Stats are afflicted\n\t\t\t\n\t\t\tif(sroll < 51){\n\t\t\t\t\n\t\t\tif(effect == \"Bleed\") { // Bleed Special\n\t\t\t\t\n\t\t\t\tp.setHP(p.getHP() - 100);\n\t\t\t\t\n\t\t\t\tevents.appendText(\"You bleed profusely. - 100 HP\\n\");\n\t\t\t\t\n\t\t\t\tnewHp = String.valueOf(p.getHP()+\"/\"+p.getMaxHP());\n\t\t\t}\n\t\t\tif(effect == \"Break\") { // Break Special \n\t\t\t\t\n\t\t\t\tif(p.getEV()-5>0)\n\t\t\t\t\tp.setEV(p.getEV() - 5);\n\t\t\t\telse\n\t\t\t\t\tp.setEV(0);\n\t\t\t\t\n\t\t\t\tevents.appendText(\"You feel a bone break restricting movement. - 5 EV\\n\");\n\t\t\t\t\n\t\t\t\tString newEV = String.valueOf(p.getEV());\n\t\t\t\t\n\t\t\t\tgev.setText(newEV);\n\t\t\t\t\n\t\t\t}\n\t\t\tif(effect == \"Fear\") { // Fear Special \n\t\t\t\t\n\t\t\t\tif(p.getDMG()-40>0)\n\t\t\t\t\tp.setDMG(p.getDMG() - 40);\n\t\t\t\telse\n\t\t\t\t\tp.setDMG(0);\n\t\t\t\t\n\t\t\t\tevents.appendText(\"A crippling fear rattles your resolve. - 40 DMG\\n\");\n\t\t\t\t\n\t\t\t\tString newDMG = String.valueOf(p.getDMG());\n\t\t\t\t\n\t\t\t\tgdmg.setText(newDMG);\n\t\t\t\t\n\t\t\t}\n\t\t\tif(effect == \"Rend\") { // Rend Special \n\t\t\t\t\n\t\t\t\tif(p.getDMG()-30>0)\n\t\t\t\t\tp.setDMG(p.getDMG() - 30);\n\t\t\t\telse\n\t\t\t\t\tp.setDMG(0);\n\t\t\t\t\n\t\t\t\tif(p.getEV()-5>0)\n\t\t\t\t\tp.setEV(p.getEV() - 5);\n\t\t\t\telse\n\t\t\t\t\tp.setEV(0);\n\t\t\t\t\n\t\t\t\tevents.appendText(\"Morthar unleashes a pillar of flame! - 30 DMG and - 5 EV\\n\");\n\t\t\t\t\n\t\t\t\tString newDMG = String.valueOf(p.getDMG());\n\t\t\t\t\n\t\t\t\tString newEV = String.valueOf(p.getEV());\n\t\t\t\t\n\t\t\t\tgdmg.setText(newDMG);\n\t\t\t\t\n\t\t\t\tgev.setText(newEV);\n\t\t\t}\n\t\t\t\n\t\t}\n\t\t\t\n\t\t\tif(p.getHP() <= 0) {\n\t\t\t\t\n\t\t\t\tp.setDead(true);\n\t\t\t\t\n\t\t\t\tcurrentHp.setText(0+\"/\"+e.getMaxHP());\n\t\t\t\tplayerHPBar.setProgress((double)0);\n\t\t\t}else {\n\t\t\t\t\n\t\t\t\tcurrentHp.setText(newHp);\n\t\t\t\tplayerHPBar.setProgress((double)p.getHP()/p.getMaxHP());\n\t\t\t}\n\t\t\t\n\t\t}\n\t\t\n\t\tif(p.isDead()) { // Game over if player dies\n\t\t\t\n\t\t\ttry {\n\t\t\t\tLoadGO();\n\t\t\t} catch (IOException e1) {\n\t\t\t\n\t\t\t\te1.printStackTrace();\n\t\t\t}\n\t\t\t\n\t\t\tcombat = false;\n\t\t}\n\t}","public static void attackHandler(Player player) {\n\t\tif (player.getAttackTimer() > 0) {\n\t\t\tplayer.setAttackTimer(player.getAttackTimer() - 1);\n\t\t}\n\t\tif (player.getNpcIdAttacking() > 0 && player.getAttackTimer() == 0) {\n\t\t\tNpc NPC = NpcHandler.npcs[player.getNpcIdAttacking()];\n\t\t\tCombatNpc.attackNpc(player, NPC);\n\t\t}\n\t\tif (player.getPlayerIdAttacking() > 0) {\n\t\t\tPlayer victim = PlayerHandler.players[player.getPlayerIdAttacking()];\n\t\t\tif (player.getAttackTimer() == 0) {\n\t\t\t\tAttackPlayer.handlePlayerAttack(player, victim, false);\n\t\t\t}\n\t\t\telse if (player.getAttackTimer() > 0 && player.graniteMaulSpecialAttackClicks > 0 && player.getSpecialAttackAmount() >= 5 && Combat.hasGraniteMaulEquipped(player)) {\n\t\t\t\tAttackPlayer.handlePlayerAttack(player, victim, true);\n\t\t\t}\n\t\t\telse if (player.getAttackTimer() > 0 && player.getWieldedWeapon() == 20849 && player.isUsingSpecial() && player.getSpecialAttackAmount() >= 2.5) {\n\t\t\t\tAttackPlayer.handlePlayerAttack(player, victim, true);\n\t\t\t}\n\t\t}\n\t}","public void attack(Player player) {\n this.damage = 18 - player.getfPoint(); // the higher the Fighter skill,\n // the lower the damage. change the math.\n int newHealth = player.getShip().getHealth() - damage;\n player.getShip().setHealth(newHealth);\n }","public void attack(Character character) {\r\n\t\tint damageDealt = this.atk - character.def;\r\n\t\tif(damageDealt <= 0) {\r\n\t\t\tdamageDealt = 1;\r\n\t\t}\r\n\t\tcharacter.setHp(character.hp - damageDealt);\r\n\t\tSystem.out.println(\"[\" + this.getName().toUpperCase() + \"] strikes [\" + character.getName()\r\n\t\t\t\t+ \"] for \" + damageDealt + \" damage!\");\r\n\t}","@Override\n\tpublic boolean attackEntityFrom(DamageSource src, float par2) {\n\t\tif (isInvulnerableTo(src)) {\n\t\t\treturn false;\n\t\t}\n\n\t\t// don't just sit there!\n\t\taiSit.setSitting(false);\n\n\t\treturn super.attackEntityFrom(src, par2);\n\t}","@Override\n\tpublic void startExecuting() {\n\t\ttaskOwner.setAttackTarget(theTarget);\n\t\tfinal EntityLivingBase var1 = theEntityTameable.getOwner();\n\n\t\tif (var1 != null) {\n\t\t\tfield_142050_e = var1.getLastAttackerTime();\n\t\t}\n\n\t\tsuper.startExecuting();\n\t}","@Override\n\tpublic void didContact(GameEntity entity){\n\t\tif (entity.getClass() == Enemy.class){\n\n\t\t\tentity.receiveDamage(100);\n\t\t\tthis.receiveDamage(10);\n\t\t\tSystem.out.println(\"hit enemy\");\n\t\t}\n\t}","@Override\n public boolean attackEntityFrom(DamageSource damageSource, float damage) {\n Entity entity = damageSource.getSourceOfDamage();\n if (damageSource.isProjectile() && entity != null) {\n Entity deflected = null;\n String entityName = EntityList.getEntityString(entity);\n if (entityName != null) {\n deflected = EntityList.createEntityByName(entityName, this.worldObj);\n }\n if (deflected != null) {\n NBTTagCompound tag = new NBTTagCompound();\n entity.writeToNBT(tag);\n deflected.readFromNBT(tag);\n\n if (entity instanceof EntityArrow) {\n ((EntityArrow)deflected).shootingEntity = this;\n }\n else if (entity instanceof EntityFireball) {\n ((EntityFireball)deflected).shootingEntity = this;\n ((EntityFireball)deflected).accelerationX *= -1.0;\n ((EntityFireball)deflected).accelerationY *= -1.0;\n ((EntityFireball)deflected).accelerationZ *= -1.0;\n }\n deflected.setLocationAndAngles(deflected.posX, deflected.posY, deflected.posZ, -deflected.rotationYaw, -deflected.rotationPitch);\n deflected.motionX *= -1.0;\n deflected.motionY *= -1.0;\n deflected.motionZ *= -1.0;\n\n this.worldObj.playSoundAtEntity(this, \"random.orb\", 0.3F, 1.0F);\n if (!this.worldObj.isRemote) {\n this.worldObj.spawnEntityInWorld(deflected);\n }\n entity.setDead();\n return false;\n }\n }\n return super.attackEntityFrom(damageSource, damage);\n }","@Override\r\n\tpublic void command() {\n\t\tSystem.out.println(\"CommandAttack Process\");\r\n\t}","void basicAttack(Character attacked);","public int attack(Character target){ //hw3E#0 //hw46#moreThinking\n lowerHP((int)(strength * attack / 10)); //hw3E#0 //hw46#moreThinking\n return super.attack(target); //hw3E#0 //hw44#3,4 //hw46#moreThinking\n }","public void Hitting(Monsters opponent) throws Exception {\n\t\tassert (this != opponent);\n\t\tRandom rand = new Random();\n\t\tint hit = rand.nextInt(30);\n\t\tif(hit >= this.getHitpoints()) \n\t\t\thit = this.getHitpoints();\n\t\tif (hit >= opponent.getProtection()) {\n\t\t\tint power;\n\t\t\tif (this.getAnchor(1) == null)\n\t\t\t\tpower = this.getDamage() + (this.getStrength() - 5) / 3;\n\t\t\telse\n\t\t\t\tpower = this.getDamage() + (this.getStrength() - 5) / 3 + ((Weapons)this.getAnchor(1)).getDamage();\n\t\t\topponent.setHitpoints(opponent.getHitpoints() - power);\n\t\t\tSystem.out.println(this.getName() + \" Deals \" + power + \" damage over \" + opponent.getName());\n\t\t}\n\t\telse\n\t\t\tSystem.out.println(this.getName() + \" attack failed!\");\n\t}","@Override\r\n\tpublic String attack(int damage) {\n\t\treturn damage +\"로 공격 합니다.\";\r\n\t}","@Override\r\n\tpublic boolean canAttackEntity(Entity entity) {\n\t\treturn false;\r\n\t}","@Override\r\n\tpublic boolean canAttackEntity(Entity entity) {\n\t\treturn false;\r\n\t}"],"string":"[\n \"public void attack(Entity entity) {\\n\\t}\",\n \"@Override\\n public void attack(Entity e) {\\n e.hit(atk);\\n }\",\n \"@Override\\n\\tpublic void attack() {\\n\\n\\t}\",\n \"public void attack() {\\n this.attacked = true;\\n }\",\n \"@Override\\n\\tpublic void attack() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void attack() {\\n\\t}\",\n \"@Override\\n public void attack() {\\n\\n }\",\n \"@Override\\n\\tvoid attack() {\\n\\n\\t}\",\n \"public void attack() { \\n db.attack(creatures.get(creatureId), players.get(playerId));\\n creatures.set(creatureId, db.getCreature(creatures.get(creatureId).getId()));\\n players.set(playerId, db.getPlayer(players.get(playerId).getId()));\\n setTextFields();\\n }\",\n \"@Override\\n public void attack(){\\n\\n }\",\n \"public void attackEntity(Entity entity)\\n/* 79: */ {\\n/* 80:71 */ super.attackEntity(entity);\\n/* 81: */ }\",\n \"@Override\\n\\t\\tpublic void hit(Npc attacker, Mob defender, Hit hit) {\\n\\t\\t}\",\n \"@Override\\n\\tpublic int attack( ){\\n\\t\\treturn enemy.attack();\\n\\t}\",\n \"@Override\\r\\n\\tpublic void onEntityHit(LivingEntity ent) {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void onEntityHit(LivingEntity ent) {\\n\\t\\t\\r\\n\\t}\",\n \"public void attack() {\\n\\n }\",\n \"public void attack() {\\n if (activeWeapon == null) {\\n return;\\n }\\n attacking = true;\\n }\",\n \"public void attack() {\\n\\t\\t\\n\\t\\tint row = getPosition().getRow();\\n\\t\\tint column = getPosition().getColumn();\\n\\t\\t\\n\\t\\tgetPosition().setCoordinates(row + 1, column);\\n\\t\\tsetPosition(getPosition()) ;\\n\\t\\t// restore health\\n\\t\\tsetHealth(100);\\n\\t\\t// end hunter mode\\n\\t\\tthis.hunter = false;\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void takeHit(int attack) {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void Attack(Player arg0, Player arg1) {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void Attack(Player arg0, Player arg1) {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void onHitted(EntityDamageByEntityEvent e, Player damager, Player victim) {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void onEntityDamaged(EntityDamageEvent e) {\\n\\t\\t\\n\\t}\",\n \"public void attack(CreatureAttack attack, Creature attacked){\\r\\n if(successfulHit(attack, attacked)){\\r\\n attacked.attributes.health.hit(attack, attacked);\\r\\n }\\r\\n }\",\n \"@InvokeEvent\\n public void onAttack(PlayerAttackEntityEvent event) {\\n int multiplier = Configuration.INSTANCE.getMultiplier();\\n // Create a variable for the entity.\\n Entity entity = event.getEntity();\\n // Create a variable for Minecraft#thePlayer\\n EntityPlayer player = Minecraft.getMinecraft().thePlayer;\\n // Check if the player is null, multiplier is 1 or Configuration#isMultiplyOnAnimals() is false.\\n if (player == null || multiplier == 1 || !Configuration.INSTANCE.isMultiplyOnAnimals()) return;\\n // Check if the attack was critical.\\n boolean critical = player.fallDistance > 0.0f && !player.onGround && !player.isOnLadder() && !player.isInWater() && !player.isPotionActive(Potion.blindness) && player.ridingEntity == null;\\n // Create a float to get the EMD (Enchantment Modifier Damage).\\n float enchantment = EnchantmentHelper.getEnchantmentModifierDamage(new ItemStack[]{player.getHeldItem()}, new EntityDamageSource(\\\"player\\\", player));\\n // Create a for statement which loops for the length of the multiplier and runs the code inside.\\n for (int i = 1; i < multiplier; ++i) {\\n // Checks if enabled.\\n if (Configuration.INSTANCE.isEnabled()) {\\n // Check if its a critical hit or the multiply without critical hits option is enabled run Minecraft#onCriticalHit(entity) to show the critical marks\\n if (critical || Configuration.INSTANCE.isMultiplyWithoutCrits()) Minecraft.getMinecraft().thePlayer.onCriticalHit(entity);\\n // Check if the enchantment float is over 0.0f run Minecraft#onEnchantmentCritical(entity) instead.\\n if (enchantment > 0.0f) Minecraft.getMinecraft().thePlayer.onEnchantmentCritical(entity);\\n }\\n }\\n }\",\n \"@Override\\n\\tpublic void onHitPlayer(EntityDamageByEntityEvent e, Player damager, Player victim) {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void onEntityHit(LivingEntity ent) {\\n\\r\\n\\t}\",\n \"public void attack();\",\n \"@Override\\n\\t\\t\\tpublic void attack(Base enemy) {\\n\\t\\t\\t}\",\n \"@Override\\r\\n\\tpublic void attack(DungeonCharacter that)\\r\\n\\t{\\n\\t}\",\n \"@Override\\n\\tpublic void attack() {\\n\\t\\tSystem.out.println(\\\"빠르게 근접공격을 하다\\\");\\n\\t}\",\n \"@EventHandler\\n public void onEntityDamage(EntityDamageByEntityEvent e) {\\n if (plugin.getConfig().getBoolean(\\\"EnabledDetections.Attack\\\") && e.getDamager() instanceof Player) {\\n Player p = (Player) e.getDamager();\\n plugin.getPlayer(p).interact();\\n }\\n }\",\n \"@Override\\n\\t\\tpublic void attack() {\\n\\t\\t\\tSystem.out.println(\\\"잽을 날리다\\\");\\n\\t\\t}\",\n \"@Override\\r\\n\\tpublic void onEntityHit(LivingEntity ent) {\\n\\t\\tParUtils.createParticle(Particles.EXPLOSION, loc, 0, 0, 0, 1, 0);\\r\\n\\t\\tplaySound(Sound.ENTITY_DRAGON_FIREBALL_EXPLODE,loc,1,1);\\r\\n\\t\\tent.setVelocity(dir.multiply(speed));\\r\\n\\t\\tdamage(ent, 2, caster);\\r\\n\\t}\",\n \"void evadeAttack(IUnit attacker, int incomingDamage);\",\n \"public String attack(Entity e) {\\n return super.attack(e) + \\\"\\\\n\\\" + super.attack(e);\\n }\",\n \"@Override\\n\\tpublic void attack(Slime slime) {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\t\\tpublic void attack() {\\n\\t\\t\\tSystem.out.println(\\\"날으면서 원거리 공격을 하다.\\\");\\n\\t\\t}\",\n \"public void attackTargetCharacter() {\\n }\",\n \"@Override\\n\\tpublic String attack(Entity e) {\\n\\t\\tRandom rand = new Random();\\n\\t\\tint randomDamage = rand.nextInt(4); \\n\\t\\te.takeDamage(randomDamage);\\n\\t\\treturn \\\"hits \\\" + e.getName() + \\\" for \\\" + randomDamage + \\\" damage \\\";\\n\\t}\",\n \"@Override\\n\\tpublic void attack() {\\n\\t\\tSystem.out.println(\\\"땅밑에서 공격하다\\\");\\n\\t}\",\n \"public void startExecuting() {\\n this.attackTime = 20;\\n ShulkerEntity.this.updateArmorModifier(100);\\n }\",\n \"@Override\\n\\tpublic void attack() {\\n\\t\\tSystem.out.println(\\\" 원거리 공격을 하다\\\");\\n\\t}\",\n \"public void attack(Entity entity, boolean aoe) {\\n if(aoe) entity.damaged((int) (this.damage*0.6));\\n else entity.damaged(this.damage);\\n if(entity.isDead()){\\n incExp(entity.getLevel()*9);\\n if(entity instanceof Boss) {\\n this.bossesDefeated++;\\n }\\n }\\n }\",\n \"@Override\\n\\tpublic void physicAttack() {\\n\\t\\tSystem.out.println(\\\"进行物理攻击！\\\");\\n\\t}\",\n \"public void attack(Player p){\\n p.takeDamage(damage);\\n }\",\n \"@EventHandler(priority = EventPriority.HIGHEST, ignoreCancelled = true)\\r\\n public void onPlayerDamagedByPlayer(final EntityDamageByEntityEvent event) {\\n if (!(event.getEntity() instanceof Player)) {\\r\\n return;\\r\\n }\\r\\n if (!(event.getDamager() instanceof Player)) {\\r\\n return;\\r\\n }\\r\\n \\r\\n final Player target = (Player)event.getEntity();\\r\\n final Player attacker = (Player)event.getDamager();\\r\\n final ItemStack is = attacker.getItemInHand();\\r\\n \\r\\n if (is != null){\\r\\n switch (is.getType()){\\r\\n case EMERALD:\\r\\n attacker.setItemInHand(ItemUtil.decrementItem(is, 1));\\r\\n \\r\\n // 体力・空腹回復、燃えてたら消化\\r\\n target.setHealth(target.getMaxHealth());\\r\\n target.setFoodLevel(20);\\r\\n target.setFireTicks(0);\\r\\n \\r\\n // ポーション効果付与\\r\\n target.addPotionEffect(new PotionEffect(PotionEffectType.REGENERATION, 45 * 20, 0)); // 45 secs\\r\\n target.addPotionEffect(new PotionEffect(PotionEffectType.FIRE_RESISTANCE, 7 * 60 * 20, 0)); // 7 mins\\r\\n target.addPotionEffect(new PotionEffect(PotionEffectType.INCREASE_DAMAGE, 9 * 60 * 20, 1)); // 9 mins\\r\\n target.addPotionEffect(new PotionEffect(PotionEffectType.SPEED, 9 * 60 * 20, 0)); // 9 mins\\r\\n target.addPotionEffect(new PotionEffect(PotionEffectType.FAST_DIGGING, 5 * 60 * 20, 1)); // 5 mins\\r\\n target.addPotionEffect(new PotionEffect(PotionEffectType.NIGHT_VISION, 3 * 60 * 20, 0)); // 3 mins\\r\\n \\r\\n // effect, messaging\\r\\n target.getWorld().playEffect(target.getLocation(), Effect.ENDER_SIGNAL, 0, 10);\\r\\n Util.message(target, PlayerManager.getPlayer(attacker).getName() + \\\" &aから特殊効果を与えられました！\\\");\\r\\n Util.message(attacker, PlayerManager.getPlayer(target).getName() + \\\" &aに特殊効果を与えました！\\\");\\r\\n \\r\\n event.setCancelled(true);\\r\\n event.setDamage(0);\\r\\n break;\\r\\n default: break;\\r\\n }\\r\\n }\\r\\n }\",\n \"@Override\\n public void hit(int damage)\\n {\\n state.hit(damage, this);\\n }\",\n \"@Override\\n\\tpublic void visit(EquipmentAttack e) {\\n\\t}\",\n \"protected void attack() {\\n int[] dir = orientationToArray(orientation);\\n int newX = positionX + dir[0];\\n int newY = positionY + dir[1];\\n Skill currentSkill = grid.getPlayer().getBattleSkill();\\n if (\\n currentSkill != null\\n && grid.valid(newX, newY)\\n && grid.getPlayer().hasEnoughMp(currentSkill.getCost())\\n && System.currentTimeMillis() - currentSkill.getLastUsed() > currentSkill.getCooldown()\\n ) {\\n Token token = new SkillToken(\\n currentSkill.getImage(),\\n newX,\\n newY,\\n grid,\\n dir[0],\\n dir[1],\\n currentSkill\\n );\\n token.orientation = orientation;\\n grid.addTokenAt(token, newX, newY);\\n currentSkill.use(System.currentTimeMillis());\\n new Thread(token).start();\\n }\\n grid.repaint();\\n }\",\n \"public void attack() {\\n energy = 2;\\n redBull = 0;\\n gun = 0;\\n target = 1;\\n // if Player is in range take off a life.\\n if (CharacterTask.ghostLocation == GameWindow.playerLocation) {\\n playerLives = playerLives - 1;\\n System.out.println(\\\"Player Lives: \\\" + playerLives);\\n }\\n }\",\n \"public void onEntityDamage(EntityDamageEvent eventt)\\r\\n\\t{\\r\\n\\t\\tplugin.do_damage(eventt);\\r\\n\\t}\",\n \"public void attack()\\n {\\n getWorld().addObject(new RifleBullet(player.getX(), player.getY(), 1, 6, true), getX(), getY()); \\n }\",\n \"public void playerAttack() {\\n if (playerTurn==true) {\\n myMonster.enemHealth=myMonster.enemHealth-battlePlayer.str;\\n }\\n playerTurn=false;\\n enemyMove();\\n }\",\n \"public void handleAttack(int damage) {\\n this.health -= damage;\\n }\",\n \"@Override\\n\\tpublic void attack() {\\n\\t\\tSystem.out.println(\\\"Woof! Woof! *Crunch!*\\\");\\n\\t}\",\n \"@Override\\n\\tpublic void onDamageTaken(Entity attacker, Entity defender, int damage, int entityAttackType) {\\n\\t\\tif (attacker.getType() == EntityType.PLAYER && defender.getType() == EntityType.NPC) {\\n\\t\\t\\tPlayer attackerAsPlayer = (Player) attacker;\\n\\n\\t\\t\\tNpc defenderAsNpc = (Npc) defender;\\n\\n\\t\\t\\tif (phase == AbyssalSirePhase.SLEEPING && phaseProgressionEvent == null) {\\n\\t\\t\\t\\tphaseProgressionEvent = new AbyssalSirePhaseProgressionEvent();\\n\\n\\t\\t\\t\\tCycleEventContainer<Entity> container = getEventHandler().addEvent(this, phaseProgressionEvent, 6);\\n\\n\\t\\t\\t\\trequestAnimation(4528);\\n\\t\\t\\t\\tcontainer.addStopListener(() -> {\\n\\t\\t\\t\\t\\tif (phase == AbyssalSirePhase.SLEEPING) {\\n\\t\\t\\t\\t\\t\\ttarget = attackerAsPlayer;\\n\\t\\t\\t\\t\\t\\tfirstWake();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t});\\n\\t\\t\\t} else if (phase == AbyssalSirePhase.AWAKE) {\\n\\t\\t\\t\\tif (attackerAsPlayer.getOldSpellId() > -1) {\\n\\t\\t\\t\\t\\tint spellDisorientation = DISORIENTING_SPELLS.getOrDefault(CombatConstants.MAGIC_SPELLS[attackerAsPlayer.getOldSpellId()][0], 0);\\n\\n\\t\\t\\t\\t\\tif (spellDisorientation > 0) {\\n\\t\\t\\t\\t\\t\\tdisorientation += spellDisorientation;\\n\\n\\t\\t\\t\\t\\t\\tif (disorientation >= 100) {\\n\\t\\t\\t\\t\\t\\t\\tdisorient();\\n\\t\\t\\t\\t\\t\\t\\tattackerAsPlayer.getPA().sendMessage(\\\"Your shadow spelled disoriented the Abyssal sire.\\\");\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (phase != AbyssalSirePhase.DISORIENTED) {\\n\\t\\t\\t\\t\\tdamageDisorientation += damage;\\n\\n\\t\\t\\t\\t\\tif (damageDisorientation >= 75) {\\n\\t\\t\\t\\t\\t\\tdisorient();\\n\\t\\t\\t\\t\\t\\tattackerAsPlayer.getPA().sendMessage(\\\"Your damage slowly disoriented the Abyssal sire.\\\");\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\theal(ThreadLocalRandom.current().nextInt(1, Math.max(5, damage)));\\n\\t\\t\\t} else if (phase == AbyssalSirePhase.MELEE_COMBAT) {\\n\\t\\t\\t\\tif ((defenderAsNpc.getCurrentHitPoints() <= 200)) {\\n\\t\\t\\t\\t\\twalkToCenter();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"@Override\\n\\tpublic void activate(Entity caller) {\\n\\t\\tcaller.dealDamage(10);\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void OnAttackCommand() {\\n\\t\\tsuper.OnAttackCommand();\\n\\t\\tSoundManage.playSound(atkSound1);\\n\\t}\",\n \"public abstract void attack(Player p);\",\n \"@Override\\r\\n public void fromDeathToChase() {\\r\\n if (eaten()) {\\r\\n startChase();\\r\\n }\\r\\n }\",\n \"@EventHandler\\n\\tpublic void attackMobs(EntityDamageByEntityEvent e) {\\n\\t\\tMessages messagesConfig = plugin.getMsgs();\\n\\n\\t\\tif (e.getCause().equals(EntityDamageEvent.DamageCause.PROJECTILE)) { //Just my magic code w(o.o)w\\n\\t\\t\\treturn;\\n\\t\\t}else if (e.getDamager() instanceof Player) {\\n\\t\\t\\tPlayer p = (Player) e.getDamager();\\n\\t\\t\\tItemStack pInv = p.getInventory().getItemInMainHand();\\n\\n\\t\\t\\tif (!pInv.getType().name().contains(\\\"SWORD\\\") && !pInv.getType().name().contains(\\\"AXE\\\")) {\\n\\t\\t\\t\\tif (!(e.getEntity() instanceof Chicken)) {\\n\\t\\t\\t\\t\\te.setCancelled(true);\\n\\n\\t\\t\\t\\t\\tif (canSendMessage(p.getUniqueId()))\\n\\t\\t\\t\\t\\t\\tp.sendMessage(StringUtil.inColor(messagesConfig.getCantHitWithoutSword()));\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"private void attackPlayer()\\n\\t{\\n\\t\\tif(shootTimer.done())\\n\\t\\t{\\n\\t\\t\\tProjectile spiderWeb = new SpiderWeb(x, y);\\n\\t\\t\\tGame.objectWaitingRoom.add(spiderWeb);\\n\\t\\t\\tspiderWeb.shoot();\\n\\t\\t\\tshootTimer.setTime(200);\\n\\t\\t}\\n\\t}\",\n \"public String attack() {\\r\\n\\t\\t\\tthis.getCurrentEnemy().setHealth(this.getCurrentEnemy().getHealth()-this.getPlayer().getWeapon().getAttack());\\r\\n\\t\\t\\tif(this.getCurrentEnemy().isDefeated()) {\\r\\n\\t\\t\\t\\tthis.setInBattle(false);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tthis.handleQuestrelatedEnemy(this.getCurrentEnemy());\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif(this.getCurrentEnemy().getLoot() != null) {\\r\\n\\t\\t\\t\\t\\tthis.getPlayer().getCurrentLocation().addItem(this.getCurrentEnemy().getLoot());\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tthis.getPlayer().gainXp(this.getCurrentEnemy().getXpYield());\\r\\n\\t\\t\\t\\tthis.getPlayer().getCurrentLocation().removeNpc(this.getCurrentEnemy().getName());\\r\\n\\t\\t\\t\\tif(this.getCurrentEnemy().getClass().getName().equals(\\\"game.EnemyGuardian\\\")) {\\r\\n\\t\\t\\t\\t\\t// adds paths between current location and location in the guardian, path names are specified in the guardian construction\\r\\n\\t\\t\\t\\t\\tthis.getPlayer().getCurrentLocation().addPaths(this.getPlayer().getCurrentLocation(), ((EnemyGuardian)this.getCurrentEnemy()).getPathTo(),\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t((EnemyGuardian)this.getCurrentEnemy()).getGuardedLocation(), ((EnemyGuardian)this.getCurrentEnemy()).getPathFrom());\\r\\n\\t\\t\\t\\t\\treturn \\\"You defeated \\\" + this.getCurrentEnemy().getName() + \\\". \\\\n\\\"\\r\\n\\t\\t\\t\\t\\t\\t\\t+ ((EnemyGuardian)this.getCurrentEnemy()).getRevelationMessage() + \\\"\\\\n\\\";\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse {\\r\\n\\t\\t\\t\\t\\treturn \\\"You defeated \\\" + this.getCurrentEnemy().getName() + \\\".\\\";\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\telse {\\r\\n\\t\\t\\t\\tthis.triggerEnemyAttack();\\r\\n\\t\\t\\t\\t\\tif(this.getPlayer().getHealth() <= 0) {\\r\\n\\r\\n\\t\\t\\t\\t\\t\\tthis.gameOver();\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\treturn \\\"You attacked \\\" + this.getCurrentEnemy().getName() + \\\" for \\\" + this.getPlayer().getWeapon().getAttack() + \\\" damage. \\\\n You DIED.\\\";\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\telse {\\r\\n\\t\\t\\t\\t\\t\\treturn \\\"You attacked \\\" + this.getCurrentEnemy().getName() + \\\" for \\\" + this.getPlayer().getWeapon().getAttack() + \\\" damage. \\\\n\\\"\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t+ this.getCurrentEnemy().getName() + \\\" attacked you for \\\" + this.getCurrentEnemy().getAttack() + \\\" damage.\\\\n\\\"\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ this.getCurrentEnemy().printHealth();\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\",\n \"public void attack(){\\n activity = CreatureActivity.ATTACK;\\n createWeapon();\\n endAttack = new CountDown(20); //100\\n endAnimationAttack = new CountDown(100);\\n }\",\n \"public void attackEntity(Entity entityToHit) {\\n ItemStack item = tinkerProjectile.getItemStack();\\n ItemStack launcher = tinkerProjectile.getLaunchingStack();\\n\\n // deal damage if we have everything\\n if(item.getItem() instanceof ToolCore && this.attacker != null) {\\n EntityLivingBase attacker = (EntityLivingBase) this.attacker;\\n //EntityLivingBase target = (EntityLivingBase) raytraceResult.entityHit;\\n\\n // find the actual itemstack in the players inventory\\n ItemStack inventoryItem = AmmoHelper.getMatchingItemstackFromInventory(tinkerProjectile.getItemStack(), attacker, false);\\n if(inventoryItem.isEmpty() || inventoryItem.getItem() != item.getItem()) {\\n // backup, use saved itemstack\\n inventoryItem = item;\\n }\\n\\n // for the sake of dealing damage we always ensure that the impact itemstack has the correct broken state\\n // since the ammo stack can break while the arrow travels/if it's the last arrow\\n boolean brokenStateDiffers = ToolHelper.isBroken(inventoryItem) != ToolHelper.isBroken(item);\\n if(brokenStateDiffers) {\\n toggleBroken(inventoryItem);\\n }\\n\\n Multimap<String, AttributeModifier> projectileAttributes = null;\\n // remove stats from held items\\n if(!world.isRemote) {\\n unequip(attacker, EntityEquipmentSlot.OFFHAND);\\n unequip(attacker, EntityEquipmentSlot.MAINHAND);\\n\\n // apply stats from projectile\\n if(item.getItem() instanceof IProjectile) {\\n projectileAttributes = ((IProjectile) item.getItem()).getProjectileAttributeModifier(inventoryItem);\\n\\n if(launcher.getItem() instanceof ILauncher) {\\n ((ILauncher) launcher.getItem()).modifyProjectileAttributes(projectileAttributes, tinkerProjectile.getLaunchingStack(), tinkerProjectile.getItemStack(), tinkerProjectile.getPower());\\n }\\n\\n // factor in power\\n projectileAttributes.put(SharedMonsterAttributes.ATTACK_DAMAGE.getName(),\\n new AttributeModifier(PROJECTILE_POWER_MODIFIER, \\\"Weapon damage multiplier\\\", tinkerProjectile.getPower() - 1f, 2));\\n\\n attacker.getAttributeMap().applyAttributeModifiers(projectileAttributes);\\n }\\n // deal the damage\\n// ToolHelper.attackEntity(item, (ToolCore) item.getItem(), attacker, entityToHit, null);\\n// float speed = MathHelper.sqrt(this.motionX * this.motionX + this.motionY * this.motionY + this.motionZ * this.motionZ);\\n\\n boolean attack = ToolHelper.attackEntity(item, (ToolCore) item.getItem(), attacker, entityToHit, null);\\n// if(attack) {\\n//// for(IProjectileTrait trait : tinkerProjectile.getProjectileTraits()) {\\n//// trait.afterHit(tinkerProjectile.get, this.world, inventoryItem, attacker, entityToHit, (double) 0.0);\\n//// }\\n//\\n// // if on fire, set the entity on fire, like vanilla arrows\\n//// if (this.isBurning() && !(entityToHit instanceof EntityEnderman)) {\\n//// entityToHit.setFire(5);\\n//// }\\n// }\\n if(brokenStateDiffers) {\\n toggleBroken(inventoryItem);\\n }\\n\\n // remove stats from projectile\\n // apply stats from projectile\\n if(item.getItem() instanceof IProjectile) {\\n assert projectileAttributes != null;\\n attacker.getAttributeMap().removeAttributeModifiers(projectileAttributes);\\n }\\n\\n // readd stats from held items\\n equip(attacker, EntityEquipmentSlot.MAINHAND);\\n equip(attacker, EntityEquipmentSlot.OFFHAND);\\n }\\n }else {\\n System.out.println(\\\"something failed with attacking.\\\");\\n }\\n }\",\n \"void defendAttack(IUnit attacker, int incomingDamage);\",\n \"public abstract void attackPlayer(Player p);\",\n \"@Override\\n\\tpublic boolean attackEntityAsMob(Entity entity) {\\n\\t\\treturn attack(entity);\\n\\t}\",\n \"public void Hit()\\n {\\n this.numLives--;\\n //Oscillate visible and not if the number of lives is greater than zero\\n if(this.numLives > 0)\\n {\\n this.damaged = true;\\n this.Blink(1);\\n\\n }\\n }\",\n \"public void damaged() {\\n this.damageState = DamageState.DAMAGED;\\n }\",\n \"@Override\\r\\n public void handleAttack(Player player) {\\r\\n player.decreaseHealth(3);\\r\\n player.setColor(true);\\r\\n }\",\n \"protected void onImpact(RayTraceResult result) {\\n\\t\\tif (result.entityHit != null) {\\n\\t\\t\\tfloat i = 2.5F;\\n\\n\\t\\t\\tif (result.entityHit instanceof EntityBlizzard) {\\n\\t\\t\\t\\ti = 0;\\n\\t\\t\\t}\\n\\n result.entityHit.attackEntityFrom(WorldsRetold.HAIL, i);\\n\\n\\t\\t\\tif (result.entityHit instanceof EntityLivingBase) {\\n\\t\\t\\t\\tEntityLivingBase target = (EntityLivingBase) result.entityHit;\\n\\t\\t\\t\\tif (!this.world.isRemote) {\\n\\t\\t\\t\\t\\ttarget.addPotionEffect(new PotionEffect(HailstormPotions.FREEZING, 100, 0));\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (!this.world.isRemote) {\\n\\t\\t\\tthis.world.setEntityState(this, (byte) 3);\\n\\t\\t\\tthis.setDead();\\n\\t\\t}\\n\\t}\",\n \"@Override\\r\\n\\t\\t\\t\\t\\t\\tpublic void run() {\\n\\t\\t\\t\\t\\t\\t\\tfor (Damage damage : actionAttack.damages) {\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tBattlerSprite attacked = damage.target.getTag();\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tattacked.takeHit(damage.damage);\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t}\",\n \"public void battleEnemyAttack() {\\n if(battleEnemy != null){ // If all enemies have attacked, they cannot attack anymore for this round\\n\\n MovingEntity target = battleEnemy.getAttackPreference(targetAllies);\\n if(target == null){\\n target = targetAlly;\\n }\\n\\n battleEnemy.attack(target, targetEnemies, targetAllies);\\n //System.out.println(battleEnemy.getID() + \\\" is attacking \\\" + target.getID() + \\\" remaining hp: \\\" + target.getCurrHP());\\n if (updateTarget(target) == false) {\\n // if target still alive, check if its still friendly incase of zombify\\n targetAlly = checkSideSwap(targetAlly, false, battleEnemies, targetEnemies, battleAllies, targetAllies);\\n }\\n\\n battleEnemy = nextAttacker(battleEnemy, battleEnemies);\\n\\n }\\n }\",\n \"public abstract boolean attack(Enemy w);\",\n \"@Override\\n\\t\\t\\tpublic void hit(DamageEvent e) {\\n\\t\\t\\t\\tonHit(e.dmged, e.item);\\n\\t\\t\\t}\",\n \"@Override\\n\\tpublic void onDamageDealt(Entity attacker, Entity defender, int damage, int attackType) {\\n\\n\\t}\",\n \"@Override\\r\\n public void onHit(int damage){\\n if(box2body != null){\\r\\n hp -= damage;\\r\\n screen.getGameManager().get(\\\"Sounds/orc-34-hit.wav\\\", Sound.class).play();\\r\\n if(this.hp <= 0) {\\r\\n screen.bodiesToDelete.add(box2body);\\r\\n deleteFlag = true;\\r\\n screen.spawnedCreatures.remove(this);\\r\\n screen.getGameManager().get(\\\"Sounds/orc-32-death.wav\\\", Sound.class).play();\\r\\n\\r\\n //Award Experience\\r\\n screen.getPlayer().awardExperience(this.experienceValue);\\r\\n screen.getPlayer().increaseKillCount();\\r\\n }\\r\\n }\\r\\n //Attack player when damaged\\r\\n //Prevents player from sniping monsters using Wander AI\\r\\n if(currentState != State.ATTACKING){\\r\\n Vector2 orcPosition = new Vector2(box2body.getPosition().x, box2body.getPosition().y);\\r\\n Vector2 playerPosition = new Vector2(screen.getPlayer().box2body.getPosition().x, screen.getPlayer().box2body.getPosition().y);\\r\\n\\r\\n currentState = State.HASBEENATTACKED;\\r\\n velocity = new Vector2(playerPosition.x - orcPosition.x, playerPosition.y - orcPosition.y);\\r\\n box2body.setLinearVelocity(velocity.scl(speed));\\r\\n }\\r\\n }\",\n \"public abstract void attack(Vector2 spawnPos, Vector2 target);\",\n \"protected void attack(){\\n\\t\\tif(reloadTime-- <= 0){\\n\\t\\t\\treloadTime = 0;\\n\\t\\t}\\n\\t\\tif(!hostileInRange())\\n\\t\\t\\treturn;\\n\\t\\tif(!rotate()){\\n\\t\\t\\tif(reloadTime <= 0){\\n\\t\\t\\t\\tshotAt(this.target);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public void act() \\n {\\n moveEnemy();\\n checkHealth();\\n attacked();\\n }\",\n \"public void tick() {\\n if (ShulkerEntity.this.world.getDifficulty() != Difficulty.PEACEFUL) {\\n --this.attackTime;\\n LivingEntity livingentity = ShulkerEntity.this.getAttackTarget();\\n ShulkerEntity.this.getLookController().setLookPositionWithEntity(livingentity, 180.0F, 180.0F);\\n double d0 = ShulkerEntity.this.getDistanceSq(livingentity);\\n if (d0 < 400.0D) {\\n if (this.attackTime <= 0) {\\n this.attackTime = 20 + ShulkerEntity.this.rand.nextInt(10) * 20 / 2;\\n ShulkerEntity.this.world.addEntity(new ShulkerBulletEntity(ShulkerEntity.this.world, ShulkerEntity.this, livingentity, ShulkerEntity.this.getAttachmentFacing().getAxis()));\\n ShulkerEntity.this.playSound(SoundEvents.ENTITY_SHULKER_SHOOT, 2.0F, (ShulkerEntity.this.rand.nextFloat() - ShulkerEntity.this.rand.nextFloat()) * 0.2F + 1.0F);\\n }\\n } else {\\n ShulkerEntity.this.setAttackTarget((LivingEntity)null);\\n }\\n\\n super.tick();\\n }\\n }\",\n \"@EventHandler(ignoreCancelled = true)\\n public void onEntityTame(EntityTameEvent event) {\\n Entity entity = event.getEntity();\\n Player owner = (Player) event.getOwner();\\n if (Util.isTrackable(entity) && owner != null) {\\n AbstractHorse abstractHorse = (AbstractHorse) entity;\\n SavedHorse savedHorse = DB.findOrAddHorse(abstractHorse);\\n DB.observe(savedHorse, abstractHorse);\\n\\n owner.playSound(owner.getLocation(), Sound.BLOCK_DISPENSER_DISPENSE, SoundCategory.NEUTRAL, 1f, 1f);\\n owner.sendMessage(ChatColor.GOLD + \\\"This \\\" + Util.entityTypeName(abstractHorse) + \\\" has been locked.\\\");\\n getLogger().info(owner.getName() + \\\" tamed \\\" + Util.entityTypeName(abstractHorse) + \\\" \\\" + entity.getUniqueId().toString());\\n }\\n }\",\n \"public void beAttacked(int damage) {\\r\\n\\t\\tif (health > damage) {\\r\\n\\t\\t\\thealth -= damage;\\r\\n\\t\\t}else {\\r\\n\\t\\t\\thealth = 0;\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public void Attack()\\n\\t{\\n\\t\\tif(action && waitingFrames == 0)\\n\\t\\t{\\n\\t\\t\\tspriteImageView.setImage(new Image(\\\"image/main_attack.png\\\"));\\n\\t\\t\\tswitch(getDirection())\\n\\t\\t\\t{\\n\\t\\t\\t\\tcase \\\"UP\\\": \\tspriteImageView.setViewport(new Rectangle2D(300, 0, width, height)); action = false; break;\\n\\t\\t\\t\\tcase \\\"DOWN\\\": spriteImageView.setViewport(new Rectangle2D(0, 0, width, height)); action = false; break;\\n\\t\\t\\t\\tcase \\\"LEFT\\\": spriteImageView.setViewport(new Rectangle2D(100, 0, width, height)); action = false; break;\\n\\t\\t\\t\\tcase \\\"RIGHT\\\": spriteImageView.setViewport(new Rectangle2D(200, 0, width, height)); action = false; break;\\n\\t\\t\\t\\tdefault: break;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"private void enemyAttack() {\\n\\t\\t\\n\\t\\tRandom rand = new Random();\\t\\n\\t\\t\\n\\t\\tint roll = rand.nextInt(101);\\n\\t\\t\\n\\t\\tint sroll = rand.nextInt(101);\\n\\t\\t\\n\\t\\tevents.appendText(e.getName() + \\\" attacks!\\\\n\\\");\\n\\t\\t\\n\\t\\tif(roll <= p.getEV()) { // Player evades\\n\\t\\t\\t\\n\\t\\t\\tevents.appendText(\\\"You evaded \\\"+e.getName()+\\\"\\\\'s Attack!\\\\n\\\");\\n\\t\\t\\t\\n\\t\\t}else if(roll > p.getEV()) { // Player is hit and dies if HP is 0 or less\\n\\t\\t\\t\\n\\t\\t\\tp.setHP(p.getHP() - e.getDMG());\\n\\t\\t\\t\\n\\t\\t\\tString newHp = p.getHP()+\\\"/\\\"+p.getMaxHP();\\n\\t\\t\\t\\n\\t\\t\\tString effect = e.getSpecial(); // Stats are afflicted\\n\\t\\t\\t\\n\\t\\t\\tif(sroll < 51){\\n\\t\\t\\t\\t\\n\\t\\t\\tif(effect == \\\"Bleed\\\") { // Bleed Special\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tp.setHP(p.getHP() - 100);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tevents.appendText(\\\"You bleed profusely. - 100 HP\\\\n\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tnewHp = String.valueOf(p.getHP()+\\\"/\\\"+p.getMaxHP());\\n\\t\\t\\t}\\n\\t\\t\\tif(effect == \\\"Break\\\") { // Break Special \\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif(p.getEV()-5>0)\\n\\t\\t\\t\\t\\tp.setEV(p.getEV() - 5);\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\tp.setEV(0);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tevents.appendText(\\\"You feel a bone break restricting movement. - 5 EV\\\\n\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tString newEV = String.valueOf(p.getEV());\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tgev.setText(newEV);\\n\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\tif(effect == \\\"Fear\\\") { // Fear Special \\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif(p.getDMG()-40>0)\\n\\t\\t\\t\\t\\tp.setDMG(p.getDMG() - 40);\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\tp.setDMG(0);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tevents.appendText(\\\"A crippling fear rattles your resolve. - 40 DMG\\\\n\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tString newDMG = String.valueOf(p.getDMG());\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tgdmg.setText(newDMG);\\n\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\tif(effect == \\\"Rend\\\") { // Rend Special \\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif(p.getDMG()-30>0)\\n\\t\\t\\t\\t\\tp.setDMG(p.getDMG() - 30);\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\tp.setDMG(0);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif(p.getEV()-5>0)\\n\\t\\t\\t\\t\\tp.setEV(p.getEV() - 5);\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\tp.setEV(0);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tevents.appendText(\\\"Morthar unleashes a pillar of flame! - 30 DMG and - 5 EV\\\\n\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tString newDMG = String.valueOf(p.getDMG());\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tString newEV = String.valueOf(p.getEV());\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tgdmg.setText(newDMG);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tgev.setText(newEV);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tif(p.getHP() <= 0) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tp.setDead(true);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tcurrentHp.setText(0+\\\"/\\\"+e.getMaxHP());\\n\\t\\t\\t\\tplayerHPBar.setProgress((double)0);\\n\\t\\t\\t}else {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tcurrentHp.setText(newHp);\\n\\t\\t\\t\\tplayerHPBar.setProgress((double)p.getHP()/p.getMaxHP());\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\tif(p.isDead()) { // Game over if player dies\\n\\t\\t\\t\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tLoadGO();\\n\\t\\t\\t} catch (IOException e1) {\\n\\t\\t\\t\\n\\t\\t\\t\\te1.printStackTrace();\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tcombat = false;\\n\\t\\t}\\n\\t}\",\n \"public static void attackHandler(Player player) {\\n\\t\\tif (player.getAttackTimer() > 0) {\\n\\t\\t\\tplayer.setAttackTimer(player.getAttackTimer() - 1);\\n\\t\\t}\\n\\t\\tif (player.getNpcIdAttacking() > 0 && player.getAttackTimer() == 0) {\\n\\t\\t\\tNpc NPC = NpcHandler.npcs[player.getNpcIdAttacking()];\\n\\t\\t\\tCombatNpc.attackNpc(player, NPC);\\n\\t\\t}\\n\\t\\tif (player.getPlayerIdAttacking() > 0) {\\n\\t\\t\\tPlayer victim = PlayerHandler.players[player.getPlayerIdAttacking()];\\n\\t\\t\\tif (player.getAttackTimer() == 0) {\\n\\t\\t\\t\\tAttackPlayer.handlePlayerAttack(player, victim, false);\\n\\t\\t\\t}\\n\\t\\t\\telse if (player.getAttackTimer() > 0 && player.graniteMaulSpecialAttackClicks > 0 && player.getSpecialAttackAmount() >= 5 && Combat.hasGraniteMaulEquipped(player)) {\\n\\t\\t\\t\\tAttackPlayer.handlePlayerAttack(player, victim, true);\\n\\t\\t\\t}\\n\\t\\t\\telse if (player.getAttackTimer() > 0 && player.getWieldedWeapon() == 20849 && player.isUsingSpecial() && player.getSpecialAttackAmount() >= 2.5) {\\n\\t\\t\\t\\tAttackPlayer.handlePlayerAttack(player, victim, true);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public void attack(Player player) {\\n this.damage = 18 - player.getfPoint(); // the higher the Fighter skill,\\n // the lower the damage. change the math.\\n int newHealth = player.getShip().getHealth() - damage;\\n player.getShip().setHealth(newHealth);\\n }\",\n \"public void attack(Character character) {\\r\\n\\t\\tint damageDealt = this.atk - character.def;\\r\\n\\t\\tif(damageDealt <= 0) {\\r\\n\\t\\t\\tdamageDealt = 1;\\r\\n\\t\\t}\\r\\n\\t\\tcharacter.setHp(character.hp - damageDealt);\\r\\n\\t\\tSystem.out.println(\\\"[\\\" + this.getName().toUpperCase() + \\\"] strikes [\\\" + character.getName()\\r\\n\\t\\t\\t\\t+ \\\"] for \\\" + damageDealt + \\\" damage!\\\");\\r\\n\\t}\",\n \"@Override\\n\\tpublic boolean attackEntityFrom(DamageSource src, float par2) {\\n\\t\\tif (isInvulnerableTo(src)) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\t// don't just sit there!\\n\\t\\taiSit.setSitting(false);\\n\\n\\t\\treturn super.attackEntityFrom(src, par2);\\n\\t}\",\n \"@Override\\n\\tpublic void startExecuting() {\\n\\t\\ttaskOwner.setAttackTarget(theTarget);\\n\\t\\tfinal EntityLivingBase var1 = theEntityTameable.getOwner();\\n\\n\\t\\tif (var1 != null) {\\n\\t\\t\\tfield_142050_e = var1.getLastAttackerTime();\\n\\t\\t}\\n\\n\\t\\tsuper.startExecuting();\\n\\t}\",\n \"@Override\\n\\tpublic void didContact(GameEntity entity){\\n\\t\\tif (entity.getClass() == Enemy.class){\\n\\n\\t\\t\\tentity.receiveDamage(100);\\n\\t\\t\\tthis.receiveDamage(10);\\n\\t\\t\\tSystem.out.println(\\\"hit enemy\\\");\\n\\t\\t}\\n\\t}\",\n \"@Override\\n public boolean attackEntityFrom(DamageSource damageSource, float damage) {\\n Entity entity = damageSource.getSourceOfDamage();\\n if (damageSource.isProjectile() && entity != null) {\\n Entity deflected = null;\\n String entityName = EntityList.getEntityString(entity);\\n if (entityName != null) {\\n deflected = EntityList.createEntityByName(entityName, this.worldObj);\\n }\\n if (deflected != null) {\\n NBTTagCompound tag = new NBTTagCompound();\\n entity.writeToNBT(tag);\\n deflected.readFromNBT(tag);\\n\\n if (entity instanceof EntityArrow) {\\n ((EntityArrow)deflected).shootingEntity = this;\\n }\\n else if (entity instanceof EntityFireball) {\\n ((EntityFireball)deflected).shootingEntity = this;\\n ((EntityFireball)deflected).accelerationX *= -1.0;\\n ((EntityFireball)deflected).accelerationY *= -1.0;\\n ((EntityFireball)deflected).accelerationZ *= -1.0;\\n }\\n deflected.setLocationAndAngles(deflected.posX, deflected.posY, deflected.posZ, -deflected.rotationYaw, -deflected.rotationPitch);\\n deflected.motionX *= -1.0;\\n deflected.motionY *= -1.0;\\n deflected.motionZ *= -1.0;\\n\\n this.worldObj.playSoundAtEntity(this, \\\"random.orb\\\", 0.3F, 1.0F);\\n if (!this.worldObj.isRemote) {\\n this.worldObj.spawnEntityInWorld(deflected);\\n }\\n entity.setDead();\\n return false;\\n }\\n }\\n return super.attackEntityFrom(damageSource, damage);\\n }\",\n \"@Override\\r\\n\\tpublic void command() {\\n\\t\\tSystem.out.println(\\\"CommandAttack Process\\\");\\r\\n\\t}\",\n \"void basicAttack(Character attacked);\",\n \"public int attack(Character target){ //hw3E#0 //hw46#moreThinking\\n lowerHP((int)(strength * attack / 10)); //hw3E#0 //hw46#moreThinking\\n return super.attack(target); //hw3E#0 //hw44#3,4 //hw46#moreThinking\\n }\",\n \"public void Hitting(Monsters opponent) throws Exception {\\n\\t\\tassert (this != opponent);\\n\\t\\tRandom rand = new Random();\\n\\t\\tint hit = rand.nextInt(30);\\n\\t\\tif(hit >= this.getHitpoints()) \\n\\t\\t\\thit = this.getHitpoints();\\n\\t\\tif (hit >= opponent.getProtection()) {\\n\\t\\t\\tint power;\\n\\t\\t\\tif (this.getAnchor(1) == null)\\n\\t\\t\\t\\tpower = this.getDamage() + (this.getStrength() - 5) / 3;\\n\\t\\t\\telse\\n\\t\\t\\t\\tpower = this.getDamage() + (this.getStrength() - 5) / 3 + ((Weapons)this.getAnchor(1)).getDamage();\\n\\t\\t\\topponent.setHitpoints(opponent.getHitpoints() - power);\\n\\t\\t\\tSystem.out.println(this.getName() + \\\" Deals \\\" + power + \\\" damage over \\\" + opponent.getName());\\n\\t\\t}\\n\\t\\telse\\n\\t\\t\\tSystem.out.println(this.getName() + \\\" attack failed!\\\");\\n\\t}\",\n \"@Override\\r\\n\\tpublic String attack(int damage) {\\n\\t\\treturn damage +\\\"로 공격 합니다.\\\";\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean canAttackEntity(Entity entity) {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean canAttackEntity(Entity entity) {\\n\\t\\treturn false;\\r\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.81811714\",\n \"0.7902662\",\n \"0.7848498\",\n \"0.7842348\",\n \"0.78396326\",\n \"0.78251594\",\n \"0.78101593\",\n \"0.7778834\",\n \"0.7685258\",\n \"0.7608649\",\n \"0.74407953\",\n \"0.72904927\",\n \"0.72417223\",\n \"0.7238796\",\n \"0.7238796\",\n \"0.7216059\",\n \"0.7209634\",\n \"0.718743\",\n \"0.7186191\",\n \"0.71704334\",\n \"0.71704334\",\n \"0.7113111\",\n \"0.7107358\",\n \"0.70860964\",\n \"0.7082428\",\n \"0.7074283\",\n \"0.70614034\",\n \"0.7041196\",\n \"0.70341843\",\n \"0.70265985\",\n \"0.6967327\",\n \"0.69657993\",\n \"0.6962309\",\n \"0.6944241\",\n \"0.6926556\",\n \"0.6903693\",\n \"0.6903111\",\n \"0.68921524\",\n \"0.6883724\",\n \"0.6852444\",\n \"0.68148476\",\n \"0.6799374\",\n \"0.6761244\",\n \"0.67608833\",\n \"0.6733677\",\n \"0.6731661\",\n \"0.672153\",\n \"0.6692086\",\n \"0.6682764\",\n \"0.66765684\",\n \"0.6666954\",\n \"0.66388863\",\n \"0.6608453\",\n \"0.659398\",\n \"0.6583543\",\n \"0.65757954\",\n \"0.65749264\",\n \"0.6546907\",\n \"0.6545574\",\n \"0.6542502\",\n \"0.65422374\",\n \"0.653428\",\n \"0.6524965\",\n \"0.6524239\",\n \"0.6515525\",\n \"0.65068233\",\n \"0.6497586\",\n \"0.6494604\",\n \"0.6488968\",\n \"0.6474067\",\n \"0.64700705\",\n \"0.6459144\",\n \"0.64496577\",\n \"0.64295805\",\n \"0.6425137\",\n \"0.64156944\",\n \"0.64144737\",\n \"0.64111966\",\n \"0.64066225\",\n \"0.6389283\",\n \"0.6388219\",\n \"0.63801014\",\n \"0.6374981\",\n \"0.63538235\",\n \"0.63440454\",\n \"0.6327187\",\n \"0.6321152\",\n \"0.6315188\",\n \"0.6308814\",\n \"0.6297778\",\n \"0.62970227\",\n \"0.62890375\",\n \"0.62772936\",\n \"0.6273488\",\n \"0.6272651\",\n \"0.6263397\",\n \"0.6262695\",\n \"0.6259974\",\n \"0.62592274\",\n \"0.6256793\",\n \"0.6256793\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":32585,"cells":{"query":{"kind":"string","value":"Returns true if other Entities should be prevented from moving through this Entity."},"document":{"kind":"string","value":"@Override\r\n public boolean canBeCollidedWith()\r\n {\r\n return !this.isDead;\r\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public boolean continueExecuting()\n\t{\n\t\treturn this.entity.posX != this.xPosition && this.yPosition != this.entity.posY && this.entity.posZ != this.zPosition;\n\t}","public boolean isBlockingTo(Entity wantsToMoveHere)\n\t{\n\t\treturn false;\n\t}","private boolean canMove() {\n return !(bestMove[0].getX() == bestMove[1].getX() && bestMove[0].getY() == bestMove[1].getY());\n }","public boolean canMove() {\r\n return (state == State.VULNERABLE || state == State.INVULNERABLE);\r\n\r\n }","public boolean continueExecuting()\n {\n if (!closestEntity.isEntityAlive())\n {\n return false;\n }\n\n if (field_46105_a.getDistanceSqToEntity(closestEntity) > (double)(field_46101_d * field_46101_d))\n {\n return false;\n }\n else\n {\n return field_46102_e > 0;\n }\n }","@Override\n public boolean canMove(double x, double y) {\n return !getOwner().isDead();\n }","public boolean isMoveLegal() {\n if (!getGame().getBoard().contains(getFinalCoords())) {\n return false;\n }\n\n // for aero units move must use up all their velocity\n if (getEntity() instanceof Aero) {\n Aero a = (Aero) getEntity();\n if (getLastStep() == null) {\n if ((a.getCurrentVelocity() > 0) && !getGame().useVectorMove()) {\n return false;\n }\n } else {\n if ((getLastStep().getVelocityLeft() > 0) && !getGame().useVectorMove()\n && !(getLastStep().getType() == MovePath.MoveStepType.FLEE\n || getLastStep().getType() == MovePath.MoveStepType.EJECT)) {\n return false;\n }\n }\n }\n\n if (getLastStep() == null) {\n return true;\n }\n\n if (getLastStep().getType() == MoveStepType.CHARGE) {\n return getSecondLastStep().isLegal();\n }\n if (getLastStep().getType() == MoveStepType.RAM) {\n return getSecondLastStep().isLegal();\n }\n return getLastStep().isLegal();\n }","public boolean isTurnOngoing() {\n int numEntitiesWithActions = 0;\n for (Entity entity : entitiesInCombat) {\n if (entity.canAct()) {\n numEntitiesWithActions++;\n }\n }\n return numEntitiesWithActions > 0;\n }","public boolean canMove() {\n return (Math.abs(getDist())>=50);\n }","public boolean canMove() {\n ArrayList<Location> valid = canMoveInit();\n if (valid == null || valid.isEmpty()) {\n return false;\n }\n ArrayList<Location> lastCross = crossLocation.peek();\n for (Location loc : valid) {\n Actor actor = (Actor) getGrid().get(loc);\n if (actor instanceof Rock && actor.getColor().equals(Color.RED)) {\n next = loc;\n isEnd = true;\n return false;\n }\n if (!lastCross.contains(loc)) {\n lastCross.add(loc);\n next = loc;\n ArrayList<Location> nextCross = new ArrayList<>();\n nextCross.add(next);\n nextCross.add(last);\n crossLocation.push(nextCross);\n return probabilityAdd();\n }\n }\n next = lastCross.get(1);\n crossLocation.pop();\n return probabilitySub();\n }","public boolean canPlaceEntity() {\n boolean blocked = this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.BLOCKED);\n if (blocked) return false;\n\n return this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.PLACEABLE);\n }","protected boolean canUseOtherDirection() {\n return false;\n }","private boolean shouldStopBeingCombatEngineer() {\r\n\t\tdouble machineUnitsCount = this.getNumberOfMachineUnits();\r\n\t\tdouble combatEngineers = this.informationStorage.getWorkerConfig().getTotalCombatEngineerCount();\r\n\r\n\t\treturn combatEngineers / machineUnitsCount >= this.combatEngineerTriggerPercentageCancel;\r\n\t}","@Override\r\n\tpublic boolean canMove() {\r\n\t\treturn false;\r\n\t}","@Override\n public boolean isEffectOnCardPrevented(PhysicalCard card) {\n return _preventedCards.contains(card);\n }","protected boolean couldShove(Entity source, int xa, int ya)\n {\n return couldMove(xa, ya, true);\n }","@Override\n\tpublic boolean shouldExecute() {\n\t\tif (!theEntity.isTamed())\n\t\t\treturn false;\n\t\telse if (theEntity.isInWater())\n\t\t\treturn false;\n\t\telse if (!theEntity.onGround)\n\t\t\treturn false;\n\t\telse {\n\t\t\tfinal EntityLivingBase var1 = theEntity.getOwner();\n\t\t\treturn var1 == null ? true\n\t\t\t\t\t: theEntity.getDistanceSqToEntity(var1) < 144.0D\n\t\t\t\t\t\t\t&& var1.getAITarget() != null ? false : isSitting;\n\t\t}\n\t}","public boolean wantsToAttack() {\n boolean ret = false;\n \n potentialAttackers.clear(); //Previous potentials might no longer be adjacent to an enemy\n \n //Look at all my territories. If it has enough troops to smack someone, it does.\n for(Territory t : gameController.getBoard().getAgentsTerritories(this)){\n if(t.getNumTroops() > 1){\n \n //Check adjacent territories to see if we can do anything about it.\n List<Territory> adjs = gameController.getBoard().getAdjacentTerritories(t);\n for(Territory adj : adjs){\n //Record a boolean so we don't need to call it twice;\n boolean yes = !adj.getOwner().equals(this);\n \n //Check if we have an acceptable chance of success\n int tTroops = t.getNumTroops() - 1;\n int aTroops = adj.getNumTroops();\n double odds = MarkovLookupTable.getOddsOfSuccessfulAttack(tTroops, aTroops);\n yes &= Double.compare(odds, ACCEPTABLE_RISK) >= 0;\n \n //If we can attack with this territory, yes will be true, throw this Territory\n //in the list of potential attackers if it isn't already in there.\n if(yes){\n if(!potentialAttackers.contains(t)){\n potentialAttackers.add(t);\n }\n }\n ret |= yes; //Ret will be set to true and can't be unset if even 1 t can attack\n }\n }\n }\n \n return ret;\n }","public boolean shouldContinueExecuting() {\n return ShulkerEntity.this.getAttackTarget() == null && this.peekTime > 0;\n }","public boolean isCollisionDisabled() { return mover.isCollisionDisabled(); }","public boolean canMove() {\n\n if (workers.size() == 0) return true;\n\n return workerCanMove(0) || workerCanMove(1);\n }","protected boolean isColliding() {\n\t\treturn phxService.isColliding(this);\n\t}","public boolean overlap(Entity otherEntity) throws IllegalArgumentException {\n\t\tif (otherEntity == null) \n\t\t\tthrow new IllegalArgumentException(\"Invalid argument object (null).\");\n\t\tif (this == otherEntity) return true;\n\t\t\n\t\tif ( this.getDistanceBetween(otherEntity) < -0.01)\n\t\t\treturn true;\n\t\telse\n\t\t\treturn false;\n\t}","private void preventMovementInOppositeDirection() {\n\t\tif(currentDirection == Direction.RIGHT && \n\t\t\t\tsnakeDirection == Direction.LEFT) {\n\t\t\t\n\t\t\tcurrentDirection = Direction.LEFT;\n\t\t} else if(currentDirection == Direction.LEFT && \n\t\t\t\tsnakeDirection == Direction.RIGHT) {\n\t\t\t\n\t\t\tcurrentDirection = Direction.RIGHT;\n\t\t} else if(currentDirection == Direction.DOWN && \n\t\t\t\tsnakeDirection == Direction.UP) {\n\t\t\t\n\t\t\tcurrentDirection = Direction.UP;\n\t\t} else if(currentDirection == Direction.UP && \n\t\t\t\tsnakeDirection == Direction.DOWN) {\n\t\t\t\n\t\t\tcurrentDirection = Direction.DOWN;\n\t\t}\n\t}","public boolean shouldExecute() {\n\t\t\tEntityMoveHelper entitymovehelper = this.parentEntity.getMoveHelper();\n\n\t\t\tif (!entitymovehelper.isUpdating()) {\n\t\t\t\treturn true;\n\t\t\t} else {\n\t\t\t\tdouble d0 = entitymovehelper.getX() - this.parentEntity.posX;\n\t\t\t\tdouble d1 = entitymovehelper.getY() - this.parentEntity.posY;\n\t\t\t\tdouble d2 = entitymovehelper.getZ() - this.parentEntity.posZ;\n\t\t\t\tdouble d3 = d0 * d0 + d1 * d1 + d2 * d2;\n\t\t\t\treturn d3 < 1.0D || d3 > 3600.0D;\n\t\t\t}\n\t\t}","public boolean continueExecuting()\n {\n double var1 = this.theEntity.getDistanceSq((double)this.entityPosX, (double)this.entityPosY, (double)this.entityPosZ);\n return this.breakingTime <= 240 && !this.field_151504_e.func_150015_f(this.theEntity.worldObj, this.entityPosX, this.entityPosY, this.entityPosZ) && var1 < 4.0D;\n }","public boolean shouldExecute() {\n return this.entity.getAttackTarget() != null && this.isBowInMainhand();\n }","@objid (\"7f09cb7d-1dec-11e2-8cad-001ec947c8cc\")\n public boolean allowsMove() {\n return true;\n }","public boolean shouldContinueExecuting() {\n return (this.shouldExecute() || !this.entity.getNavigator().noPath()) && this.isBowInMainhand();\n }","private boolean boulderObstructed(List<Entity> entities) {\r\n for (Entity e : entities) {\r\n if (e instanceof Exit) return true;\r\n if (e instanceof Door) return true;\r\n if (e instanceof Wall) return true;\r\n }\r\n return false;\r\n }","public boolean canMove() {\n\n\tArrayList<Location> moveLocs = getValid(getLocation());\n\n\tif (isEnd == true) {\n\t return false;\n\t} \n\tif (!moveLocs.isEmpty()) {\n\t \n\t randomSelect(moveLocs);\n\t // selectMoveLocation(moveLocs);\n\t return true;\n\n\t} else {\n\t return false;\n\t}\n }","public boolean canMove2() {\n\t\tGrid<Actor> gr = getGrid(); \n\t\tif (gr == null) {\n\t\t\treturn false; \n\t\t}\n\t\t\n\t\tLocation loc = getLocation(); \n\t\tLocation next = loc.getAdjacentLocation(getDirection());\n\t\tLocation next2 = next.getAdjacentLocation(getDirection());\n\t\tif (!gr.isValid(next)) {\n\t\t\treturn false;\n\t\t}\n\t\tif (!gr.isValid(next2)) {\n\t\t\treturn false;\n\t\t}\n\t\tActor neighbor = gr.get(next2); \n\t\treturn (neighbor == null) || (neighbor instanceof Flower); \n\t}","@Override\n public boolean canMove(List<ICrosser> crossers, boolean fromLeftToRightBank) {\n return false;\n }","public boolean areDisjoint() {\n return !geometry.almostZero(distance);\n }","public boolean canEndTurn() {\n\t\tif (hasMoved || hasCaptured) {\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","@Override\n\tpublic boolean onValidSurface()\n\t{\n\t\tif (!this.worldObj.getCollidingBoundingBoxes(this, this.getEntityBoundingBox()).isEmpty())\n\t\t{\n\t\t\treturn false;\n\t\t}\n\t\telse\n\t\t{\n\t\t\tint i = Math.max(1, this.blocksToTakeUp());\n\t\t\tint j = Math.max(1, this.blocksToTakeUp());\n\t\t\tBlockPos blockpos = this.hangingPosition.offset(this.facingDirection.getOpposite());\n\t\t\tEnumFacing enumfacing = this.facingDirection.rotateYCCW();\n\n\t\t\tfor (int k = -i / 2 + 1; k < i / 2 + 1; ++k)\n\t\t\t{\n\t\t\t\tfor (int l = -j / 2 + 1; l < j / 2 + 1; ++l)\n\t\t\t\t{\n\t\t\t\t\tBlockPos blockpos1 = blockpos.offset(enumfacing, k).up(l);\n\t\t\t\t\tBlock block = this.worldObj.getBlockState(blockpos1).getBlock();\n\n\t\t\t\t\tif (block.isSideSolid(this.worldObj, blockpos1, this.facingDirection))\n\t\t\t\t\t\tcontinue;\n\n\t\t\t\t\tif (!block.getMaterial().isSolid() && !BlockRedstoneDiode.isRedstoneRepeaterBlockID(block))\n\t\t\t\t\t{\n\t\t\t\t\t\treturn false;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tfor (Entity entity : this.worldObj.getEntitiesWithinAABBExcludingEntity(this, this.getEntityBoundingBox()))\n\t\t\t{\n\t\t\t\tif (entity instanceof EntityHanging)\n\t\t\t\t{\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\treturn true;\n\t\t}\n\t}","@Override\r\n\tpublic boolean checkExclusive(MMkEntity makerEntity) {\n\t\treturn false;\r\n\t}","@Override\n public boolean continueExecuting()\n {\n theEntity.decrementRearingCounter();;\n Boolean continueExecuting = theEntity.getRearingCounter()>0; \n if (!continueExecuting)\n {\n theEntity.setRearing(false);\n theEntity.setAttackTarget(theEntity.getLastAttacker()); // now attack back\n }\n // DEBUG\n if (theEntity.getAITarget() != null)\n {\n System.out.println(\"AIPanic continueExecuting = \"+continueExecuting+\", rearingCounter = \"+theEntity.getRearingCounter()+\", isRearing = \"\n +theEntity.isRearing()+\", Attack Target = \"+theEntity.getAITarget().getClass().getSimpleName()+\", client side = \"+theEntity.worldObj.isRemote);\n }\n else\n {\n System.out.println(\"AIPanic continueExecuting = \"+continueExecuting+\", rearingCounter = \"+theEntity.getRearingCounter()+\", isRearing = \"\n +theEntity.isRearing()+\", Attack Target = null\"+\", client side = \"+theEntity.worldObj.isRemote);\n }\n return (continueExecuting);\n }","public boolean shouldPreventFlow(Block b) {\n\t\treturn !b.hasMetadata(\"flow\");\n\t}","public boolean canEndTurn(){\n\t\treturn moved;\n\n\t}","@Override\r\n\tpublic boolean canAttackEntity(Entity entity) {\n\t\treturn false;\r\n\t}","@Override\r\n\tpublic boolean canAttackEntity(Entity entity) {\n\t\treturn false;\r\n\t}","@Override\r\n\tpublic boolean collides (Entity other)\r\n\t{\r\n\t\tif (other == owner || other instanceof Missile)\r\n\t\t\treturn false;\r\n\t\telse\r\n\t\t\treturn super.collides(other);\r\n\t}","public boolean canMove ()\n {\n return ((ActiveAdvancer)_advancer).canMove();\n }","private boolean isBlocked(View v){\n\t\treturn !v.mayMove(facingDirection);\n\t}","public boolean canBeCollidedWith()\n {\n return !this.isDead;\n }","public boolean canBeCollidedWith()\n {\n return !this.isDead;\n }","public boolean canMoveEntity (Entity entity, Point dest) {\n if (entity == null) throw new IllegalArgumentException(\"Entity is null\");\n if (dest == null) throw new IllegalArgumentException(\"Point is null\");\n if (!grid.containsKey(dest)) throw new IllegalArgumentException(\"The cell is not on the grid\");\n\n Point origin = entity.getCoords();\n\n if (origin.equals(dest)) return false;\n\n Vector vector = Vector.findStraightVector(origin, dest);\n\n if (vector == null) return false;\n Vector step = new Vector(vector.axis(), (int) (1 * Math.signum(vector.length())));\n Point probe = (Point) origin.clone();\n while (!probe.equals(dest)) {\n probe = step.applyVector(probe);\n if (!grid.containsKey(probe)) return false;\n }\n\n\n return true;\n }","public boolean shouldExecute()\n {\n if (field_46105_a.getRNG().nextFloat() >= field_48294_e)\n {\n return false;\n }\n\n if (field_48293_f == (net.minecraft.src.EntityPlayer.class))\n {\n closestEntity = field_46105_a.worldObj.getClosestPlayerToEntity(field_46105_a, field_46101_d);\n }\n else\n {\n closestEntity = field_46105_a.worldObj.findNearestEntityWithinAABB(field_48293_f, field_46105_a.boundingBox.expand(field_46101_d, 3D, field_46101_d), field_46105_a);\n }\n\n return closestEntity != null;\n }","public boolean isInversable() {\r\n try {\r\n return !(this.getDeterminant() == 0);\r\n } catch (InvalidMoveException e) {\r\n return false;\r\n }\r\n }","@Override\n public boolean currentPlayerHavePotentialMoves() {\n return !checkersBoard.getAllPotentialMoves(getCurrentPlayerIndex()).isEmpty();\n }","protected boolean canMoveOver(final WorkItem originalWorkItem, final WorkItem targetWorkItem) {\n\t\t// Validate that the items that are moving are the same type.\n\t\tif (originalWorkItem.getType() != targetWorkItem.getType()) {\n\t\t\treturn false;\n\t\t}\n\n\t\t// if both are type task, check if are from the same story.\n\t\tif (originalWorkItem.getType() == WorkItemType.TASK && targetWorkItem.getType() == WorkItemType.TASK) {\n\n\t\t\tfinal Story originParent = ((Task) originalWorkItem).getStory();\n\t\t\tfinal Story targetParent = ((Task) targetWorkItem).getStory();\n\n\t\t\tif (!(originParent == null && targetParent == null) // for tasks without story\n\t\t\t\t\t&& (originParent == null || targetParent == null\n\t\t\t\t\t|| !originParent.equals(targetParent))) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\n\t\treturn true;\n\t}","private boolean canUndo() {\n return !frozen && !past.isEmpty();\n }","public boolean isLegalMove() {\n return iterator().hasNext();\n }","public boolean shouldExecute() {\n LivingEntity livingentity = ShulkerEntity.this.getAttackTarget();\n if (livingentity != null && livingentity.isAlive()) {\n return ShulkerEntity.this.world.getDifficulty() != Difficulty.PEACEFUL;\n } else {\n return false;\n }\n }","boolean isLegal(Move move) {\r\n return isLegal(move.from(), move.to());\r\n }","public boolean canMove()\n {\n return canMove;\n }","boolean isLegal(Move move) {\n int count = pieceCountAlong(move);\n int c0 = move.getCol0();\n int r0 = move.getRow0();\n int c1 = move.getCol1();\n int r1 = move.getRow1();\n int count2 = Math.max(Math.abs(c1 - c0), Math.abs(r1 - r0));\n return ((count == count2) && !blocked(move));\n }","public boolean allowMove(Point p, int pos);","public boolean damagable() {\n return !this.state.equals(\"knockedBack\")\n && !this.state.equals(\"dodge\");\n }","private boolean stop() {\n\t\tboolean collide = false;\n\n\t\tdist = (int) MathMachine.distance((xOrigin - this.x), (yOrigin - this.y)); // distance traveled\n\t\tif (dist >= move_range) collide = true;\n\n\t\tif (Math.abs(x - xD) <= 2 && Math.abs(y - yD) <= 2) { // adding 8 shifts the collision box from the top left corner to the bottom right.\n\t\t\tcollide = true; // this is the important statement for collision detection. It works by looking at the tile you want to go to and seeing if it is solid.\n\t\t}\n\n\t\treturn collide;\n\t}","public boolean overlapAnyEntity(){\n \treturn this.getSuperWorld().getEntities().stream().anyMatch(T ->this.overlap(T));\n }","@Override\n\tpublic boolean shouldExecute() {\n\t\tif (!theEntityTameable.isTamed())\n\t\t\treturn false;\n\t\telse {\n\t\t\tfinal EntityLivingBase var1 = theEntityTameable.getOwner();\n\n\t\t\tif (var1 == null)\n\t\t\t\treturn false;\n\t\t\telse {\n\t\t\t\ttheTarget = var1.getLastAttacker();\n\t\t\t\tfinal int var2 = var1.getLastAttackerTime();\n\t\t\t\treturn var2 != field_142050_e\n\t\t\t\t\t\t&& isSuitableTarget(theTarget, false)\n\t\t\t\t\t\t&& theEntityTameable.func_142018_a(theTarget, var1);\n\t\t\t}\n\t\t}\n\t}","private boolean canDamoneBlackSaveOtherLeftAhead(Damone damone) {\n return canBlackSaveOtherLeft(damone);\n }","public boolean isSafeFromAllPlayersExcept(Cell refugecell, Player p1, Player p2){\n ArrayList<Cell> reachableCells = new ArrayList<Cell>();\n int range;\n List<Player> players = state.getPlayers();\n for(Player p: players){\n if(!p.equals(p1)&&!p.equals(p2)){\n range = p.getNumberMoveRemaining()+p.getBombRange();\n reachableCells = getReacheableCellsInRange(p.getCell(), range);\n // the current player would not be safe from p\n if(reachableCells.contains(refugecell)){\n return false;\n }\n }\n }\n // the current player would be safe on refugecell from all enemies except from p2\n return true;\n }","@Override\n\tprotected boolean canBeRidden(Entity entityIn)\n\t{\n\t\treturn false;\n\t}","public boolean canBeLeft();","public boolean canMove()\n\t{\n\t\tif(delayMove>compareSpeed())\n\t\t{\n\t\t\tdelayMove=0;\n\t\t\treturn true;\n\t\t\t\n\t\t}else\n\t\t{\n\t\t\treturn false;\n\t\t}\n\t}","@Override\r\n\tprotected boolean prerequisites() {\n\t\treturn _player1.getClient().getPlayer().getWrappedObject().getPosition()\r\n\t\t\t\t.equals(_player2.getClient().getPlayer().getWrappedObject().getPosition());\r\n\t}","protected boolean anyMovesLeft() {\r\n return super.anyMovesLeft();\r\n }","private boolean isLastMoveEnPassentCapture()\r\n\t{\r\n\t\tMove lastMove = getLastMove();\r\n\t\tif (lastMove == null) return false;\r\n\t\tif (appliedMoves.size() - 2 < 0) return false;\r\n\t\tMove beforeLastMove = appliedMoves.get(appliedMoves.size() - 2);\r\n\t\tif (beforeLastMove == null) return false;\r\n\t\t\r\n\t\tif (!(lastMove.capture instanceof Pawn)) return false;\r\n\t\tif (Math.abs(lastMove.from.coordinate.x - lastMove.to.coordinate.x) != 1) return false;\r\n\t\tif (Math.abs(lastMove.from.coordinate.y - lastMove.to.coordinate.y) != 1) return false;\r\n\r\n\t\t//Move before must have been a double move\r\n\t\tif (Math.abs(beforeLastMove.from.coordinate.y - beforeLastMove.to.coordinate.y) != 2) return false;\r\n\t\t//Pawn must have been removed\r\n\t\tif (fields[beforeLastMove.to.coordinate.x][beforeLastMove.to.coordinate.y].piece != null) return false;\r\n\t\t//Before last move's target must be on same y coordinate as from coordinate of last move\r\n\t\tif (beforeLastMove.to.coordinate.y != lastMove.from.coordinate.y) return false;\r\n\t\t//Before last move's target must be only one x coordinate away from coordinate of last move\r\n\t\tif (Math.abs(beforeLastMove.to.coordinate.x - lastMove.from.coordinate.x) != 1) return false;\r\n\t\t\r\n\t\treturn true;\r\n\t}","@Override\n\tpublic boolean isRented() {\n\t\treturn false;\n\t}","public boolean isNavigating() {\n\t\treturn leftMotor.isMoving() || rightMotor.isMoving();\n\t}","public boolean percolates() {\n return false;\n }","private boolean isEnemyNotToFarAwayFromSpawnPoint(final LinkedList<Fightable> kis, final NonStatic enemy) {\n\t\tfor (Fightable ki : kis) {\n\t\t\tif (Points.distBetweenTwoPoints(enemy.getCoord(), ki.getSpawnPoint()) \n\t\t\t\t\t< ki.getAttributeValue(Attribute.viewRange) * VIEWRANGE_FACTOR) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t}","protected boolean hasEscapeMoves() {\n\t\t\n\t\tfor(final Move move : this.legalMoves) {\n\t\t\tfinal MoveTransition transition = makeMove(move);\n\t\t\t\n\t\t\tif(transition.getMoveStatus().isDone()) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\t\n\t\t}\n\t\t\n\t\treturn false;\n\t}","@Override\n\tpublic boolean isBlocked() {\n\t\treturn this.parent.isBlocked(this);\n\t}","public boolean canMove() {\n\t\tArrayList<Location> loc = getValid(getLocation());\n\t\tif (loc.isEmpty()) {\n\t\t\treturn false;\n\t\t} else {\n\t\t\tpath.add(getLocation());\n\t\t\tif (loc.size() >= 2) {\n\t\t\t\tcrossLocation.push(path);\n\t\t\t\tpath = new ArrayList<Location>();\n\t\t\t\tnext = betterDir(loc);\n\t\t\t}\n\t\t\tnext = loc.get(0);\n\t\t}\n\t\treturn true;\n\t}","private boolean legalMove() {\n\n\t\t// empty landing spot\n\t\tif (tilePath.size() == 0) {\n\t\t\tdebug(\"illegal, empty landing spot\");\n\t\t\treturn false;\n\t\t}\n\n\t\tif (!mBoard.tileIsEmpty(tilePath.get(tilePath.size() - 1))) {\n\t\t\tdebug(\"illegal, tile not empty\");\n\t\t\treturn false;\n\t\t}\n\n\t\t// start doesn't equal end\n\t\tif (tilePath.get(0).equals(tilePath.get(tilePath.size() - 1))) {\n\t\t\tdebug(\"illegal, start doesn't equal end\");\n\t\t\treturn false;\n\t\t}\n\n\t\treturn true;\n\t}","public void stopMovement() {\r\n this.canMove = false;\r\n }","public boolean overlap(Entity entity){\n \t\n \tif (entity == null) throw new IllegalArgumentException(\"The second entity does not exist. @overlap\");\n\t\tif (this == entity) return true;\n\t\treturn this.getDistanceBetweenEdge(entity) <= -0.01;\n }","@Override\r\n public boolean canMove() {\r\n Grid<Actor> gr = getGrid();\r\n int dirs[] = {\r\n Location.AHEAD, Location.HALF_CIRCLE, Location.LEFT,\r\n Location.RIGHT };\r\n // 当终点在周围时,不能移动且isEnd应当为true\r\n for (int i = 0; i < dirs.length; i++) {\r\n Location tarLoc = getLocation().getAdjacentLocation(dirs[i]);\r\n if (gr.isValid(tarLoc) && gr.get(tarLoc) != null) {\r\n // Color直接用==计算竟然不可行(真是哔了dog...\r\n if (gr.get(tarLoc) instanceof Rock\r\n && gr.get(tarLoc).getColor().equals(Color.RED)) {\r\n isEnd = true;\r\n return false;\r\n }\r\n }\r\n }\r\n ArrayList<Location> nextLocs = getValid(getLocation());\r\n // 当附近没有可以移动的位置时,不能移动\r\n if (nextLocs.size() == 0) {\r\n return false;\r\n }\r\n // 当可以移动的位置>1时,说明存在一个节点,这个节点应当被新建一个arraylist入栈\r\n if (nextLocs.size() > 1) {\r\n ArrayList<Location> newStackElem = new ArrayList<Location>();\r\n newStackElem.add(getLocation());\r\n crossLocation.push(newStackElem);\r\n }\r\n // 有可以移动的位置时,向概率最高的方向移动\r\n int maxProbLoc = 0;\r\n // 由于nextLocs不一定有4个location,所以只好循环判断取最大值\r\n for (int i = 0; i < nextLocs.size(); i++) {\r\n Location loc = nextLocs.get(i);\r\n int dirNum = getLocation().getDirectionToward(loc) / 90;\r\n if (probablyDir[dirNum] > probablyDir[maxProbLoc]) {\r\n maxProbLoc = i;\r\n }\r\n }\r\n next = nextLocs.get(maxProbLoc);\r\n return true;\r\n }","private boolean needToTurn() {\n\t\tdouble curDir = sens.getDirection();\n\t\tdouble desDirPlusAmount = desiredDirection + TURNSPEED;\n\t\tdouble desDirMinusAmount = desiredDirection - TURNSPEED;\n\n\t\t// if desired direction is <||> +_ x degrees\n\t\tif (curDir < desDirMinusAmount || curDir > desDirPlusAmount) {\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","@Override\n\t\t\t\tpublic boolean validEntity(Entity me, Entity other) {\n\t\t\t\t\tif(Mappers.status.get(me).same(Mappers.status.get(other))) return false;\n\t\t\t\t\t\n\t\t\t\t\tFacingComponent facingComp = Mappers.facing.get(me);\n\t\t\t\t\tBody myBody = Mappers.body.get(me).body;\n\t\t\t\t\tBody otherBody = Mappers.body.get(other).body;\n\t\t\t\t\t\n\t\t\t\t\tfloat xOff = facingComp.facingRight ? 0.5f : -0.5f;\n\t\t\t\t\t\n\t\t\t\t\tfloat myX = myBody.getPosition().x + xOff;\n\t\t\t\t\tfloat myY = myBody.getPosition().y;\n\t\t\t\t\tfloat otherX = otherBody.getPosition().x;\n\t\t\t\t\tfloat otherY = otherBody.getPosition().y;\n\t\t\t\t\t\n\t\t\t\t\tfloat minX = 0.0f;\n\t\t\t\t\tfloat maxX = minX + range;\n\t\t\t\t\tfloat yRange = 0.9f;\n\t\t\t\t\t\n\t\t\t\t\t// Construct box in front of you\n\t\t\t\t\tfloat closeX = facingComp.facingRight ? myX + minX : myX - minX;\n\t\t\t\t\tfloat farX = facingComp.facingRight ? myX + maxX : myX - maxX;\n\t\t\t\t\tfloat top = myY + yRange;\n\t\t\t\t\tfloat bottom = myY - yRange;\n\t\t\t\t\t\n\t\t\t\t\tDebugRender.setType(ShapeType.Line);\n\t\t\t\t\tDebugRender.setColor(Color.CYAN);\n\t\t\t\t\tDebugRender.rect(facingComp.facingRight ? closeX : farX, bottom, Math.abs(farX - closeX), top - bottom, 1.0f);\n\t\t\t\t\t\n\t\t\t\t\tRectangle kick = new Rectangle(Math.min(closeX, farX), bottom, Math.abs(closeX - farX), top - bottom);\n\t\t\t\t\tRectangle enemy = new Rectangle(Mappers.body.get(other).getAABB());\n\t\t\t\t\tenemy.x = otherX - enemy.width * 0.5f;\n\t\t\t\t\tenemy.y = otherY - enemy.height * 0.5f;\n\t\t\t\t\t\n\t\t\t\t\treturn kick.overlaps(enemy);\n//\t\t\t\t\treturn (((facingComp.facingRight && otherX >= closeX && otherX <= farX) || (!facingComp.facingRight && otherX >= farX && otherX <= closeX)) && otherY <= top && otherY >= bottom);\n\t\t\t\t}","@GuardedBy(\"sfg\")\n\tpublic boolean canGoTo(StateVertex source, StateVertex target) {\n\t\tsynchronized (sfg) {\n\t\t\treturn sfg.containsEdge(source, target) || sfg.containsEdge(target, source);\n\t\t}\n\t}","@Override\r\n\tprotected boolean shouldBlock(Entity e) {\n\t\treturn super.shouldBlock(e);\r\n\t}","public boolean isFinished() {\n return !rightMotor.isMoving() && !leftMotor.isMoving();\n }","@Override\n public boolean shouldExecute()\n {\n if (theEntity.getAITarget() == null && theEntity.isBurning())\n {\n return false;\n }\n else\n {\n if (theEntity.isRearingFirstTick()) // only set the first tick that is rearing\n {\n return true; \n }\n else\n {\n return false;\n }\n } \n }","public boolean goingWrongWay() {\n\t\t// The dot product of the car and the segments normal is positive\n\t\ttemp.set(segments.get(curSeg*2+1)).sub(segments.get(curSeg*2));\n\t\ttemp.rotate90(1);\n\t\ttemp2.setAngleRad(angle);\n\t\treturn temp.dot(temp2) < 0;\n\t}","public Boolean shouldAbandon() {\n return false;\n }","public boolean isEffective() {\n return !this.isBroken() && !this.isExisted() && this.getId() < 0;\n }","public abstract boolean canMove();","public boolean continueGame(){\n for (Player p : super.getPlayers()) {\n // check if p is dead\n if (p.isDead()) {\n return false;\n }\n }\n return true;\n }","@Override\n public boolean collide(Entity e) {\n if (e.isExplosion() || (e.isBomb() && (((Bomb) e).isMissile()))) {\n kill();\n ArrayList<Mob> m = Board.getInstance().getMobsAtExcluding(this.getXTile(), this.getYTile(), this);\n for (Mob mob1 : m) {\n if (mob1.isAlive()) {\n mob1.kill();\n }\n }\n return true;\n }\n return false;\n }","public boolean isColliding(){\n for(int i = 0; i < eng.getIDManager().getObjectsWithID(\"GameObject\").size(); i++){\n GameObject temp = eng.getIDManager().getObjectsWithID(\"GameObject\").get(i);\n \n if(temp.getHitBox().getBounds().intersects(rect.getBounds()) &&\n temp.getHitBox() != this){\n currentCollidingObject = temp;\n return true;\n }\n }\n \n return false;\n }","@Override\r\n public boolean shouldCollide(Fixture fixtureA, Fixture fixtureB) {\n if (fixtureA != null && fixtureA.getBody() != null && fixtureB != null && fixtureB.getBody() != null) {\r\n GenericUserData dataA = (GenericUserData) fixtureA.getBody().getUserData();\r\n GenericUserData dataB = (GenericUserData) fixtureB.getBody().getUserData();\r\n if (dataA != null && dataB != null) {\r\n if (!dataA.getCollisionReaction().canCollide(fixtureA, fixtureB)\r\n || !dataB.getCollisionReaction().canCollide(fixtureA, fixtureB)) {\r\n return false;\r\n }\r\n return true;\r\n }\r\n }\r\n return true;\r\n }","private boolean removePermitted(Collection removeInstances) {\n for (Object removeInstance : removeInstances) {\n Entity next = (Entity) removeInstance;\n if (!removePermitted(next.getMetaClass()))\n return false;\n }\n return true;\n }","public boolean couldWrap(Cargo other) {\n return getCarrierTarget() == other.getCarrierTarget()\n && getNewSpace() < 0 && other.getNewSpace() < 0;\n }","public boolean shouldExecute()\n {\n return !super.shouldExecute() ? false : (!this.theEntity.worldObj.getGameRules().getGameRuleBooleanValue(\"mobGriefing\") ? false : !this.field_151504_e.func_150015_f(this.theEntity.worldObj, this.entityPosX, this.entityPosY, this.entityPosZ));\n }","private boolean isNearToEndPosition() {\n switch (direction) {\n case UP:\n return posY <= endPosition;\n case DOWN:\n return posY >= endPosition;\n case LEFT:\n return posX <= endPosition;\n case RIGHT:\n return posX >= endPosition;\n }\n throw new RuntimeException(\"Unknown position\");\n }"],"string":"[\n \"public boolean continueExecuting()\\n\\t{\\n\\t\\treturn this.entity.posX != this.xPosition && this.yPosition != this.entity.posY && this.entity.posZ != this.zPosition;\\n\\t}\",\n \"public boolean isBlockingTo(Entity wantsToMoveHere)\\n\\t{\\n\\t\\treturn false;\\n\\t}\",\n \"private boolean canMove() {\\n return !(bestMove[0].getX() == bestMove[1].getX() && bestMove[0].getY() == bestMove[1].getY());\\n }\",\n \"public boolean canMove() {\\r\\n return (state == State.VULNERABLE || state == State.INVULNERABLE);\\r\\n\\r\\n }\",\n \"public boolean continueExecuting()\\n {\\n if (!closestEntity.isEntityAlive())\\n {\\n return false;\\n }\\n\\n if (field_46105_a.getDistanceSqToEntity(closestEntity) > (double)(field_46101_d * field_46101_d))\\n {\\n return false;\\n }\\n else\\n {\\n return field_46102_e > 0;\\n }\\n }\",\n \"@Override\\n public boolean canMove(double x, double y) {\\n return !getOwner().isDead();\\n }\",\n \"public boolean isMoveLegal() {\\n if (!getGame().getBoard().contains(getFinalCoords())) {\\n return false;\\n }\\n\\n // for aero units move must use up all their velocity\\n if (getEntity() instanceof Aero) {\\n Aero a = (Aero) getEntity();\\n if (getLastStep() == null) {\\n if ((a.getCurrentVelocity() > 0) && !getGame().useVectorMove()) {\\n return false;\\n }\\n } else {\\n if ((getLastStep().getVelocityLeft() > 0) && !getGame().useVectorMove()\\n && !(getLastStep().getType() == MovePath.MoveStepType.FLEE\\n || getLastStep().getType() == MovePath.MoveStepType.EJECT)) {\\n return false;\\n }\\n }\\n }\\n\\n if (getLastStep() == null) {\\n return true;\\n }\\n\\n if (getLastStep().getType() == MoveStepType.CHARGE) {\\n return getSecondLastStep().isLegal();\\n }\\n if (getLastStep().getType() == MoveStepType.RAM) {\\n return getSecondLastStep().isLegal();\\n }\\n return getLastStep().isLegal();\\n }\",\n \"public boolean isTurnOngoing() {\\n int numEntitiesWithActions = 0;\\n for (Entity entity : entitiesInCombat) {\\n if (entity.canAct()) {\\n numEntitiesWithActions++;\\n }\\n }\\n return numEntitiesWithActions > 0;\\n }\",\n \"public boolean canMove() {\\n return (Math.abs(getDist())>=50);\\n }\",\n \"public boolean canMove() {\\n ArrayList<Location> valid = canMoveInit();\\n if (valid == null || valid.isEmpty()) {\\n return false;\\n }\\n ArrayList<Location> lastCross = crossLocation.peek();\\n for (Location loc : valid) {\\n Actor actor = (Actor) getGrid().get(loc);\\n if (actor instanceof Rock && actor.getColor().equals(Color.RED)) {\\n next = loc;\\n isEnd = true;\\n return false;\\n }\\n if (!lastCross.contains(loc)) {\\n lastCross.add(loc);\\n next = loc;\\n ArrayList<Location> nextCross = new ArrayList<>();\\n nextCross.add(next);\\n nextCross.add(last);\\n crossLocation.push(nextCross);\\n return probabilityAdd();\\n }\\n }\\n next = lastCross.get(1);\\n crossLocation.pop();\\n return probabilitySub();\\n }\",\n \"public boolean canPlaceEntity() {\\n boolean blocked = this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.BLOCKED);\\n if (blocked) return false;\\n\\n return this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.PLACEABLE);\\n }\",\n \"protected boolean canUseOtherDirection() {\\n return false;\\n }\",\n \"private boolean shouldStopBeingCombatEngineer() {\\r\\n\\t\\tdouble machineUnitsCount = this.getNumberOfMachineUnits();\\r\\n\\t\\tdouble combatEngineers = this.informationStorage.getWorkerConfig().getTotalCombatEngineerCount();\\r\\n\\r\\n\\t\\treturn combatEngineers / machineUnitsCount >= this.combatEngineerTriggerPercentageCancel;\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean canMove() {\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"@Override\\n public boolean isEffectOnCardPrevented(PhysicalCard card) {\\n return _preventedCards.contains(card);\\n }\",\n \"protected boolean couldShove(Entity source, int xa, int ya)\\n {\\n return couldMove(xa, ya, true);\\n }\",\n \"@Override\\n\\tpublic boolean shouldExecute() {\\n\\t\\tif (!theEntity.isTamed())\\n\\t\\t\\treturn false;\\n\\t\\telse if (theEntity.isInWater())\\n\\t\\t\\treturn false;\\n\\t\\telse if (!theEntity.onGround)\\n\\t\\t\\treturn false;\\n\\t\\telse {\\n\\t\\t\\tfinal EntityLivingBase var1 = theEntity.getOwner();\\n\\t\\t\\treturn var1 == null ? true\\n\\t\\t\\t\\t\\t: theEntity.getDistanceSqToEntity(var1) < 144.0D\\n\\t\\t\\t\\t\\t\\t\\t&& var1.getAITarget() != null ? false : isSitting;\\n\\t\\t}\\n\\t}\",\n \"public boolean wantsToAttack() {\\n boolean ret = false;\\n \\n potentialAttackers.clear(); //Previous potentials might no longer be adjacent to an enemy\\n \\n //Look at all my territories. If it has enough troops to smack someone, it does.\\n for(Territory t : gameController.getBoard().getAgentsTerritories(this)){\\n if(t.getNumTroops() > 1){\\n \\n //Check adjacent territories to see if we can do anything about it.\\n List<Territory> adjs = gameController.getBoard().getAdjacentTerritories(t);\\n for(Territory adj : adjs){\\n //Record a boolean so we don't need to call it twice;\\n boolean yes = !adj.getOwner().equals(this);\\n \\n //Check if we have an acceptable chance of success\\n int tTroops = t.getNumTroops() - 1;\\n int aTroops = adj.getNumTroops();\\n double odds = MarkovLookupTable.getOddsOfSuccessfulAttack(tTroops, aTroops);\\n yes &= Double.compare(odds, ACCEPTABLE_RISK) >= 0;\\n \\n //If we can attack with this territory, yes will be true, throw this Territory\\n //in the list of potential attackers if it isn't already in there.\\n if(yes){\\n if(!potentialAttackers.contains(t)){\\n potentialAttackers.add(t);\\n }\\n }\\n ret |= yes; //Ret will be set to true and can't be unset if even 1 t can attack\\n }\\n }\\n }\\n \\n return ret;\\n }\",\n \"public boolean shouldContinueExecuting() {\\n return ShulkerEntity.this.getAttackTarget() == null && this.peekTime > 0;\\n }\",\n \"public boolean isCollisionDisabled() { return mover.isCollisionDisabled(); }\",\n \"public boolean canMove() {\\n\\n if (workers.size() == 0) return true;\\n\\n return workerCanMove(0) || workerCanMove(1);\\n }\",\n \"protected boolean isColliding() {\\n\\t\\treturn phxService.isColliding(this);\\n\\t}\",\n \"public boolean overlap(Entity otherEntity) throws IllegalArgumentException {\\n\\t\\tif (otherEntity == null) \\n\\t\\t\\tthrow new IllegalArgumentException(\\\"Invalid argument object (null).\\\");\\n\\t\\tif (this == otherEntity) return true;\\n\\t\\t\\n\\t\\tif ( this.getDistanceBetween(otherEntity) < -0.01)\\n\\t\\t\\treturn true;\\n\\t\\telse\\n\\t\\t\\treturn false;\\n\\t}\",\n \"private void preventMovementInOppositeDirection() {\\n\\t\\tif(currentDirection == Direction.RIGHT && \\n\\t\\t\\t\\tsnakeDirection == Direction.LEFT) {\\n\\t\\t\\t\\n\\t\\t\\tcurrentDirection = Direction.LEFT;\\n\\t\\t} else if(currentDirection == Direction.LEFT && \\n\\t\\t\\t\\tsnakeDirection == Direction.RIGHT) {\\n\\t\\t\\t\\n\\t\\t\\tcurrentDirection = Direction.RIGHT;\\n\\t\\t} else if(currentDirection == Direction.DOWN && \\n\\t\\t\\t\\tsnakeDirection == Direction.UP) {\\n\\t\\t\\t\\n\\t\\t\\tcurrentDirection = Direction.UP;\\n\\t\\t} else if(currentDirection == Direction.UP && \\n\\t\\t\\t\\tsnakeDirection == Direction.DOWN) {\\n\\t\\t\\t\\n\\t\\t\\tcurrentDirection = Direction.DOWN;\\n\\t\\t}\\n\\t}\",\n \"public boolean shouldExecute() {\\n\\t\\t\\tEntityMoveHelper entitymovehelper = this.parentEntity.getMoveHelper();\\n\\n\\t\\t\\tif (!entitymovehelper.isUpdating()) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tdouble d0 = entitymovehelper.getX() - this.parentEntity.posX;\\n\\t\\t\\t\\tdouble d1 = entitymovehelper.getY() - this.parentEntity.posY;\\n\\t\\t\\t\\tdouble d2 = entitymovehelper.getZ() - this.parentEntity.posZ;\\n\\t\\t\\t\\tdouble d3 = d0 * d0 + d1 * d1 + d2 * d2;\\n\\t\\t\\t\\treturn d3 < 1.0D || d3 > 3600.0D;\\n\\t\\t\\t}\\n\\t\\t}\",\n \"public boolean continueExecuting()\\n {\\n double var1 = this.theEntity.getDistanceSq((double)this.entityPosX, (double)this.entityPosY, (double)this.entityPosZ);\\n return this.breakingTime <= 240 && !this.field_151504_e.func_150015_f(this.theEntity.worldObj, this.entityPosX, this.entityPosY, this.entityPosZ) && var1 < 4.0D;\\n }\",\n \"public boolean shouldExecute() {\\n return this.entity.getAttackTarget() != null && this.isBowInMainhand();\\n }\",\n \"@objid (\\\"7f09cb7d-1dec-11e2-8cad-001ec947c8cc\\\")\\n public boolean allowsMove() {\\n return true;\\n }\",\n \"public boolean shouldContinueExecuting() {\\n return (this.shouldExecute() || !this.entity.getNavigator().noPath()) && this.isBowInMainhand();\\n }\",\n \"private boolean boulderObstructed(List<Entity> entities) {\\r\\n for (Entity e : entities) {\\r\\n if (e instanceof Exit) return true;\\r\\n if (e instanceof Door) return true;\\r\\n if (e instanceof Wall) return true;\\r\\n }\\r\\n return false;\\r\\n }\",\n \"public boolean canMove() {\\n\\n\\tArrayList<Location> moveLocs = getValid(getLocation());\\n\\n\\tif (isEnd == true) {\\n\\t return false;\\n\\t} \\n\\tif (!moveLocs.isEmpty()) {\\n\\t \\n\\t randomSelect(moveLocs);\\n\\t // selectMoveLocation(moveLocs);\\n\\t return true;\\n\\n\\t} else {\\n\\t return false;\\n\\t}\\n }\",\n \"public boolean canMove2() {\\n\\t\\tGrid<Actor> gr = getGrid(); \\n\\t\\tif (gr == null) {\\n\\t\\t\\treturn false; \\n\\t\\t}\\n\\t\\t\\n\\t\\tLocation loc = getLocation(); \\n\\t\\tLocation next = loc.getAdjacentLocation(getDirection());\\n\\t\\tLocation next2 = next.getAdjacentLocation(getDirection());\\n\\t\\tif (!gr.isValid(next)) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\tif (!gr.isValid(next2)) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\tActor neighbor = gr.get(next2); \\n\\t\\treturn (neighbor == null) || (neighbor instanceof Flower); \\n\\t}\",\n \"@Override\\n public boolean canMove(List<ICrosser> crossers, boolean fromLeftToRightBank) {\\n return false;\\n }\",\n \"public boolean areDisjoint() {\\n return !geometry.almostZero(distance);\\n }\",\n \"public boolean canEndTurn() {\\n\\t\\tif (hasMoved || hasCaptured) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"@Override\\n\\tpublic boolean onValidSurface()\\n\\t{\\n\\t\\tif (!this.worldObj.getCollidingBoundingBoxes(this, this.getEntityBoundingBox()).isEmpty())\\n\\t\\t{\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tint i = Math.max(1, this.blocksToTakeUp());\\n\\t\\t\\tint j = Math.max(1, this.blocksToTakeUp());\\n\\t\\t\\tBlockPos blockpos = this.hangingPosition.offset(this.facingDirection.getOpposite());\\n\\t\\t\\tEnumFacing enumfacing = this.facingDirection.rotateYCCW();\\n\\n\\t\\t\\tfor (int k = -i / 2 + 1; k < i / 2 + 1; ++k)\\n\\t\\t\\t{\\n\\t\\t\\t\\tfor (int l = -j / 2 + 1; l < j / 2 + 1; ++l)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tBlockPos blockpos1 = blockpos.offset(enumfacing, k).up(l);\\n\\t\\t\\t\\t\\tBlock block = this.worldObj.getBlockState(blockpos1).getBlock();\\n\\n\\t\\t\\t\\t\\tif (block.isSideSolid(this.worldObj, blockpos1, this.facingDirection))\\n\\t\\t\\t\\t\\t\\tcontinue;\\n\\n\\t\\t\\t\\t\\tif (!block.getMaterial().isSolid() && !BlockRedstoneDiode.isRedstoneRepeaterBlockID(block))\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tfor (Entity entity : this.worldObj.getEntitiesWithinAABBExcludingEntity(this, this.getEntityBoundingBox()))\\n\\t\\t\\t{\\n\\t\\t\\t\\tif (entity instanceof EntityHanging)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean checkExclusive(MMkEntity makerEntity) {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"@Override\\n public boolean continueExecuting()\\n {\\n theEntity.decrementRearingCounter();;\\n Boolean continueExecuting = theEntity.getRearingCounter()>0; \\n if (!continueExecuting)\\n {\\n theEntity.setRearing(false);\\n theEntity.setAttackTarget(theEntity.getLastAttacker()); // now attack back\\n }\\n // DEBUG\\n if (theEntity.getAITarget() != null)\\n {\\n System.out.println(\\\"AIPanic continueExecuting = \\\"+continueExecuting+\\\", rearingCounter = \\\"+theEntity.getRearingCounter()+\\\", isRearing = \\\"\\n +theEntity.isRearing()+\\\", Attack Target = \\\"+theEntity.getAITarget().getClass().getSimpleName()+\\\", client side = \\\"+theEntity.worldObj.isRemote);\\n }\\n else\\n {\\n System.out.println(\\\"AIPanic continueExecuting = \\\"+continueExecuting+\\\", rearingCounter = \\\"+theEntity.getRearingCounter()+\\\", isRearing = \\\"\\n +theEntity.isRearing()+\\\", Attack Target = null\\\"+\\\", client side = \\\"+theEntity.worldObj.isRemote);\\n }\\n return (continueExecuting);\\n }\",\n \"public boolean shouldPreventFlow(Block b) {\\n\\t\\treturn !b.hasMetadata(\\\"flow\\\");\\n\\t}\",\n \"public boolean canEndTurn(){\\n\\t\\treturn moved;\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean canAttackEntity(Entity entity) {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean canAttackEntity(Entity entity) {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean collides (Entity other)\\r\\n\\t{\\r\\n\\t\\tif (other == owner || other instanceof Missile)\\r\\n\\t\\t\\treturn false;\\r\\n\\t\\telse\\r\\n\\t\\t\\treturn super.collides(other);\\r\\n\\t}\",\n \"public boolean canMove ()\\n {\\n return ((ActiveAdvancer)_advancer).canMove();\\n }\",\n \"private boolean isBlocked(View v){\\n\\t\\treturn !v.mayMove(facingDirection);\\n\\t}\",\n \"public boolean canBeCollidedWith()\\n {\\n return !this.isDead;\\n }\",\n \"public boolean canBeCollidedWith()\\n {\\n return !this.isDead;\\n }\",\n \"public boolean canMoveEntity (Entity entity, Point dest) {\\n if (entity == null) throw new IllegalArgumentException(\\\"Entity is null\\\");\\n if (dest == null) throw new IllegalArgumentException(\\\"Point is null\\\");\\n if (!grid.containsKey(dest)) throw new IllegalArgumentException(\\\"The cell is not on the grid\\\");\\n\\n Point origin = entity.getCoords();\\n\\n if (origin.equals(dest)) return false;\\n\\n Vector vector = Vector.findStraightVector(origin, dest);\\n\\n if (vector == null) return false;\\n Vector step = new Vector(vector.axis(), (int) (1 * Math.signum(vector.length())));\\n Point probe = (Point) origin.clone();\\n while (!probe.equals(dest)) {\\n probe = step.applyVector(probe);\\n if (!grid.containsKey(probe)) return false;\\n }\\n\\n\\n return true;\\n }\",\n \"public boolean shouldExecute()\\n {\\n if (field_46105_a.getRNG().nextFloat() >= field_48294_e)\\n {\\n return false;\\n }\\n\\n if (field_48293_f == (net.minecraft.src.EntityPlayer.class))\\n {\\n closestEntity = field_46105_a.worldObj.getClosestPlayerToEntity(field_46105_a, field_46101_d);\\n }\\n else\\n {\\n closestEntity = field_46105_a.worldObj.findNearestEntityWithinAABB(field_48293_f, field_46105_a.boundingBox.expand(field_46101_d, 3D, field_46101_d), field_46105_a);\\n }\\n\\n return closestEntity != null;\\n }\",\n \"public boolean isInversable() {\\r\\n try {\\r\\n return !(this.getDeterminant() == 0);\\r\\n } catch (InvalidMoveException e) {\\r\\n return false;\\r\\n }\\r\\n }\",\n \"@Override\\n public boolean currentPlayerHavePotentialMoves() {\\n return !checkersBoard.getAllPotentialMoves(getCurrentPlayerIndex()).isEmpty();\\n }\",\n \"protected boolean canMoveOver(final WorkItem originalWorkItem, final WorkItem targetWorkItem) {\\n\\t\\t// Validate that the items that are moving are the same type.\\n\\t\\tif (originalWorkItem.getType() != targetWorkItem.getType()) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\t// if both are type task, check if are from the same story.\\n\\t\\tif (originalWorkItem.getType() == WorkItemType.TASK && targetWorkItem.getType() == WorkItemType.TASK) {\\n\\n\\t\\t\\tfinal Story originParent = ((Task) originalWorkItem).getStory();\\n\\t\\t\\tfinal Story targetParent = ((Task) targetWorkItem).getStory();\\n\\n\\t\\t\\tif (!(originParent == null && targetParent == null) // for tasks without story\\n\\t\\t\\t\\t\\t&& (originParent == null || targetParent == null\\n\\t\\t\\t\\t\\t|| !originParent.equals(targetParent))) {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn true;\\n\\t}\",\n \"private boolean canUndo() {\\n return !frozen && !past.isEmpty();\\n }\",\n \"public boolean isLegalMove() {\\n return iterator().hasNext();\\n }\",\n \"public boolean shouldExecute() {\\n LivingEntity livingentity = ShulkerEntity.this.getAttackTarget();\\n if (livingentity != null && livingentity.isAlive()) {\\n return ShulkerEntity.this.world.getDifficulty() != Difficulty.PEACEFUL;\\n } else {\\n return false;\\n }\\n }\",\n \"boolean isLegal(Move move) {\\r\\n return isLegal(move.from(), move.to());\\r\\n }\",\n \"public boolean canMove()\\n {\\n return canMove;\\n }\",\n \"boolean isLegal(Move move) {\\n int count = pieceCountAlong(move);\\n int c0 = move.getCol0();\\n int r0 = move.getRow0();\\n int c1 = move.getCol1();\\n int r1 = move.getRow1();\\n int count2 = Math.max(Math.abs(c1 - c0), Math.abs(r1 - r0));\\n return ((count == count2) && !blocked(move));\\n }\",\n \"public boolean allowMove(Point p, int pos);\",\n \"public boolean damagable() {\\n return !this.state.equals(\\\"knockedBack\\\")\\n && !this.state.equals(\\\"dodge\\\");\\n }\",\n \"private boolean stop() {\\n\\t\\tboolean collide = false;\\n\\n\\t\\tdist = (int) MathMachine.distance((xOrigin - this.x), (yOrigin - this.y)); // distance traveled\\n\\t\\tif (dist >= move_range) collide = true;\\n\\n\\t\\tif (Math.abs(x - xD) <= 2 && Math.abs(y - yD) <= 2) { // adding 8 shifts the collision box from the top left corner to the bottom right.\\n\\t\\t\\tcollide = true; // this is the important statement for collision detection. It works by looking at the tile you want to go to and seeing if it is solid.\\n\\t\\t}\\n\\n\\t\\treturn collide;\\n\\t}\",\n \"public boolean overlapAnyEntity(){\\n \\treturn this.getSuperWorld().getEntities().stream().anyMatch(T ->this.overlap(T));\\n }\",\n \"@Override\\n\\tpublic boolean shouldExecute() {\\n\\t\\tif (!theEntityTameable.isTamed())\\n\\t\\t\\treturn false;\\n\\t\\telse {\\n\\t\\t\\tfinal EntityLivingBase var1 = theEntityTameable.getOwner();\\n\\n\\t\\t\\tif (var1 == null)\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\telse {\\n\\t\\t\\t\\ttheTarget = var1.getLastAttacker();\\n\\t\\t\\t\\tfinal int var2 = var1.getLastAttackerTime();\\n\\t\\t\\t\\treturn var2 != field_142050_e\\n\\t\\t\\t\\t\\t\\t&& isSuitableTarget(theTarget, false)\\n\\t\\t\\t\\t\\t\\t&& theEntityTameable.func_142018_a(theTarget, var1);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"private boolean canDamoneBlackSaveOtherLeftAhead(Damone damone) {\\n return canBlackSaveOtherLeft(damone);\\n }\",\n \"public boolean isSafeFromAllPlayersExcept(Cell refugecell, Player p1, Player p2){\\n ArrayList<Cell> reachableCells = new ArrayList<Cell>();\\n int range;\\n List<Player> players = state.getPlayers();\\n for(Player p: players){\\n if(!p.equals(p1)&&!p.equals(p2)){\\n range = p.getNumberMoveRemaining()+p.getBombRange();\\n reachableCells = getReacheableCellsInRange(p.getCell(), range);\\n // the current player would not be safe from p\\n if(reachableCells.contains(refugecell)){\\n return false;\\n }\\n }\\n }\\n // the current player would be safe on refugecell from all enemies except from p2\\n return true;\\n }\",\n \"@Override\\n\\tprotected boolean canBeRidden(Entity entityIn)\\n\\t{\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean canBeLeft();\",\n \"public boolean canMove()\\n\\t{\\n\\t\\tif(delayMove>compareSpeed())\\n\\t\\t{\\n\\t\\t\\tdelayMove=0;\\n\\t\\t\\treturn true;\\n\\t\\t\\t\\n\\t\\t}else\\n\\t\\t{\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t}\",\n \"@Override\\r\\n\\tprotected boolean prerequisites() {\\n\\t\\treturn _player1.getClient().getPlayer().getWrappedObject().getPosition()\\r\\n\\t\\t\\t\\t.equals(_player2.getClient().getPlayer().getWrappedObject().getPosition());\\r\\n\\t}\",\n \"protected boolean anyMovesLeft() {\\r\\n return super.anyMovesLeft();\\r\\n }\",\n \"private boolean isLastMoveEnPassentCapture()\\r\\n\\t{\\r\\n\\t\\tMove lastMove = getLastMove();\\r\\n\\t\\tif (lastMove == null) return false;\\r\\n\\t\\tif (appliedMoves.size() - 2 < 0) return false;\\r\\n\\t\\tMove beforeLastMove = appliedMoves.get(appliedMoves.size() - 2);\\r\\n\\t\\tif (beforeLastMove == null) return false;\\r\\n\\t\\t\\r\\n\\t\\tif (!(lastMove.capture instanceof Pawn)) return false;\\r\\n\\t\\tif (Math.abs(lastMove.from.coordinate.x - lastMove.to.coordinate.x) != 1) return false;\\r\\n\\t\\tif (Math.abs(lastMove.from.coordinate.y - lastMove.to.coordinate.y) != 1) return false;\\r\\n\\r\\n\\t\\t//Move before must have been a double move\\r\\n\\t\\tif (Math.abs(beforeLastMove.from.coordinate.y - beforeLastMove.to.coordinate.y) != 2) return false;\\r\\n\\t\\t//Pawn must have been removed\\r\\n\\t\\tif (fields[beforeLastMove.to.coordinate.x][beforeLastMove.to.coordinate.y].piece != null) return false;\\r\\n\\t\\t//Before last move's target must be on same y coordinate as from coordinate of last move\\r\\n\\t\\tif (beforeLastMove.to.coordinate.y != lastMove.from.coordinate.y) return false;\\r\\n\\t\\t//Before last move's target must be only one x coordinate away from coordinate of last move\\r\\n\\t\\tif (Math.abs(beforeLastMove.to.coordinate.x - lastMove.from.coordinate.x) != 1) return false;\\r\\n\\t\\t\\r\\n\\t\\treturn true;\\r\\n\\t}\",\n \"@Override\\n\\tpublic boolean isRented() {\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean isNavigating() {\\n\\t\\treturn leftMotor.isMoving() || rightMotor.isMoving();\\n\\t}\",\n \"public boolean percolates() {\\n return false;\\n }\",\n \"private boolean isEnemyNotToFarAwayFromSpawnPoint(final LinkedList<Fightable> kis, final NonStatic enemy) {\\n\\t\\tfor (Fightable ki : kis) {\\n\\t\\t\\tif (Points.distBetweenTwoPoints(enemy.getCoord(), ki.getSpawnPoint()) \\n\\t\\t\\t\\t\\t< ki.getAttributeValue(Attribute.viewRange) * VIEWRANGE_FACTOR) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"protected boolean hasEscapeMoves() {\\n\\t\\t\\n\\t\\tfor(final Move move : this.legalMoves) {\\n\\t\\t\\tfinal MoveTransition transition = makeMove(move);\\n\\t\\t\\t\\n\\t\\t\\tif(transition.getMoveStatus().isDone()) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn false;\\n\\t}\",\n \"@Override\\n\\tpublic boolean isBlocked() {\\n\\t\\treturn this.parent.isBlocked(this);\\n\\t}\",\n \"public boolean canMove() {\\n\\t\\tArrayList<Location> loc = getValid(getLocation());\\n\\t\\tif (loc.isEmpty()) {\\n\\t\\t\\treturn false;\\n\\t\\t} else {\\n\\t\\t\\tpath.add(getLocation());\\n\\t\\t\\tif (loc.size() >= 2) {\\n\\t\\t\\t\\tcrossLocation.push(path);\\n\\t\\t\\t\\tpath = new ArrayList<Location>();\\n\\t\\t\\t\\tnext = betterDir(loc);\\n\\t\\t\\t}\\n\\t\\t\\tnext = loc.get(0);\\n\\t\\t}\\n\\t\\treturn true;\\n\\t}\",\n \"private boolean legalMove() {\\n\\n\\t\\t// empty landing spot\\n\\t\\tif (tilePath.size() == 0) {\\n\\t\\t\\tdebug(\\\"illegal, empty landing spot\\\");\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\tif (!mBoard.tileIsEmpty(tilePath.get(tilePath.size() - 1))) {\\n\\t\\t\\tdebug(\\\"illegal, tile not empty\\\");\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\t// start doesn't equal end\\n\\t\\tif (tilePath.get(0).equals(tilePath.get(tilePath.size() - 1))) {\\n\\t\\t\\tdebug(\\\"illegal, start doesn't equal end\\\");\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\treturn true;\\n\\t}\",\n \"public void stopMovement() {\\r\\n this.canMove = false;\\r\\n }\",\n \"public boolean overlap(Entity entity){\\n \\t\\n \\tif (entity == null) throw new IllegalArgumentException(\\\"The second entity does not exist. @overlap\\\");\\n\\t\\tif (this == entity) return true;\\n\\t\\treturn this.getDistanceBetweenEdge(entity) <= -0.01;\\n }\",\n \"@Override\\r\\n public boolean canMove() {\\r\\n Grid<Actor> gr = getGrid();\\r\\n int dirs[] = {\\r\\n Location.AHEAD, Location.HALF_CIRCLE, Location.LEFT,\\r\\n Location.RIGHT };\\r\\n // 当终点在周围时,不能移动且isEnd应当为true\\r\\n for (int i = 0; i < dirs.length; i++) {\\r\\n Location tarLoc = getLocation().getAdjacentLocation(dirs[i]);\\r\\n if (gr.isValid(tarLoc) && gr.get(tarLoc) != null) {\\r\\n // Color直接用==计算竟然不可行(真是哔了dog...\\r\\n if (gr.get(tarLoc) instanceof Rock\\r\\n && gr.get(tarLoc).getColor().equals(Color.RED)) {\\r\\n isEnd = true;\\r\\n return false;\\r\\n }\\r\\n }\\r\\n }\\r\\n ArrayList<Location> nextLocs = getValid(getLocation());\\r\\n // 当附近没有可以移动的位置时,不能移动\\r\\n if (nextLocs.size() == 0) {\\r\\n return false;\\r\\n }\\r\\n // 当可以移动的位置>1时,说明存在一个节点,这个节点应当被新建一个arraylist入栈\\r\\n if (nextLocs.size() > 1) {\\r\\n ArrayList<Location> newStackElem = new ArrayList<Location>();\\r\\n newStackElem.add(getLocation());\\r\\n crossLocation.push(newStackElem);\\r\\n }\\r\\n // 有可以移动的位置时,向概率最高的方向移动\\r\\n int maxProbLoc = 0;\\r\\n // 由于nextLocs不一定有4个location,所以只好循环判断取最大值\\r\\n for (int i = 0; i < nextLocs.size(); i++) {\\r\\n Location loc = nextLocs.get(i);\\r\\n int dirNum = getLocation().getDirectionToward(loc) / 90;\\r\\n if (probablyDir[dirNum] > probablyDir[maxProbLoc]) {\\r\\n maxProbLoc = i;\\r\\n }\\r\\n }\\r\\n next = nextLocs.get(maxProbLoc);\\r\\n return true;\\r\\n }\",\n \"private boolean needToTurn() {\\n\\t\\tdouble curDir = sens.getDirection();\\n\\t\\tdouble desDirPlusAmount = desiredDirection + TURNSPEED;\\n\\t\\tdouble desDirMinusAmount = desiredDirection - TURNSPEED;\\n\\n\\t\\t// if desired direction is <||> +_ x degrees\\n\\t\\tif (curDir < desDirMinusAmount || curDir > desDirPlusAmount) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"@Override\\n\\t\\t\\t\\tpublic boolean validEntity(Entity me, Entity other) {\\n\\t\\t\\t\\t\\tif(Mappers.status.get(me).same(Mappers.status.get(other))) return false;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tFacingComponent facingComp = Mappers.facing.get(me);\\n\\t\\t\\t\\t\\tBody myBody = Mappers.body.get(me).body;\\n\\t\\t\\t\\t\\tBody otherBody = Mappers.body.get(other).body;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tfloat xOff = facingComp.facingRight ? 0.5f : -0.5f;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tfloat myX = myBody.getPosition().x + xOff;\\n\\t\\t\\t\\t\\tfloat myY = myBody.getPosition().y;\\n\\t\\t\\t\\t\\tfloat otherX = otherBody.getPosition().x;\\n\\t\\t\\t\\t\\tfloat otherY = otherBody.getPosition().y;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tfloat minX = 0.0f;\\n\\t\\t\\t\\t\\tfloat maxX = minX + range;\\n\\t\\t\\t\\t\\tfloat yRange = 0.9f;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// Construct box in front of you\\n\\t\\t\\t\\t\\tfloat closeX = facingComp.facingRight ? myX + minX : myX - minX;\\n\\t\\t\\t\\t\\tfloat farX = facingComp.facingRight ? myX + maxX : myX - maxX;\\n\\t\\t\\t\\t\\tfloat top = myY + yRange;\\n\\t\\t\\t\\t\\tfloat bottom = myY - yRange;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tDebugRender.setType(ShapeType.Line);\\n\\t\\t\\t\\t\\tDebugRender.setColor(Color.CYAN);\\n\\t\\t\\t\\t\\tDebugRender.rect(facingComp.facingRight ? closeX : farX, bottom, Math.abs(farX - closeX), top - bottom, 1.0f);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tRectangle kick = new Rectangle(Math.min(closeX, farX), bottom, Math.abs(closeX - farX), top - bottom);\\n\\t\\t\\t\\t\\tRectangle enemy = new Rectangle(Mappers.body.get(other).getAABB());\\n\\t\\t\\t\\t\\tenemy.x = otherX - enemy.width * 0.5f;\\n\\t\\t\\t\\t\\tenemy.y = otherY - enemy.height * 0.5f;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\treturn kick.overlaps(enemy);\\n//\\t\\t\\t\\t\\treturn (((facingComp.facingRight && otherX >= closeX && otherX <= farX) || (!facingComp.facingRight && otherX >= farX && otherX <= closeX)) && otherY <= top && otherY >= bottom);\\n\\t\\t\\t\\t}\",\n \"@GuardedBy(\\\"sfg\\\")\\n\\tpublic boolean canGoTo(StateVertex source, StateVertex target) {\\n\\t\\tsynchronized (sfg) {\\n\\t\\t\\treturn sfg.containsEdge(source, target) || sfg.containsEdge(target, source);\\n\\t\\t}\\n\\t}\",\n \"@Override\\r\\n\\tprotected boolean shouldBlock(Entity e) {\\n\\t\\treturn super.shouldBlock(e);\\r\\n\\t}\",\n \"public boolean isFinished() {\\n return !rightMotor.isMoving() && !leftMotor.isMoving();\\n }\",\n \"@Override\\n public boolean shouldExecute()\\n {\\n if (theEntity.getAITarget() == null && theEntity.isBurning())\\n {\\n return false;\\n }\\n else\\n {\\n if (theEntity.isRearingFirstTick()) // only set the first tick that is rearing\\n {\\n return true; \\n }\\n else\\n {\\n return false;\\n }\\n } \\n }\",\n \"public boolean goingWrongWay() {\\n\\t\\t// The dot product of the car and the segments normal is positive\\n\\t\\ttemp.set(segments.get(curSeg*2+1)).sub(segments.get(curSeg*2));\\n\\t\\ttemp.rotate90(1);\\n\\t\\ttemp2.setAngleRad(angle);\\n\\t\\treturn temp.dot(temp2) < 0;\\n\\t}\",\n \"public Boolean shouldAbandon() {\\n return false;\\n }\",\n \"public boolean isEffective() {\\n return !this.isBroken() && !this.isExisted() && this.getId() < 0;\\n }\",\n \"public abstract boolean canMove();\",\n \"public boolean continueGame(){\\n for (Player p : super.getPlayers()) {\\n // check if p is dead\\n if (p.isDead()) {\\n return false;\\n }\\n }\\n return true;\\n }\",\n \"@Override\\n public boolean collide(Entity e) {\\n if (e.isExplosion() || (e.isBomb() && (((Bomb) e).isMissile()))) {\\n kill();\\n ArrayList<Mob> m = Board.getInstance().getMobsAtExcluding(this.getXTile(), this.getYTile(), this);\\n for (Mob mob1 : m) {\\n if (mob1.isAlive()) {\\n mob1.kill();\\n }\\n }\\n return true;\\n }\\n return false;\\n }\",\n \"public boolean isColliding(){\\n for(int i = 0; i < eng.getIDManager().getObjectsWithID(\\\"GameObject\\\").size(); i++){\\n GameObject temp = eng.getIDManager().getObjectsWithID(\\\"GameObject\\\").get(i);\\n \\n if(temp.getHitBox().getBounds().intersects(rect.getBounds()) &&\\n temp.getHitBox() != this){\\n currentCollidingObject = temp;\\n return true;\\n }\\n }\\n \\n return false;\\n }\",\n \"@Override\\r\\n public boolean shouldCollide(Fixture fixtureA, Fixture fixtureB) {\\n if (fixtureA != null && fixtureA.getBody() != null && fixtureB != null && fixtureB.getBody() != null) {\\r\\n GenericUserData dataA = (GenericUserData) fixtureA.getBody().getUserData();\\r\\n GenericUserData dataB = (GenericUserData) fixtureB.getBody().getUserData();\\r\\n if (dataA != null && dataB != null) {\\r\\n if (!dataA.getCollisionReaction().canCollide(fixtureA, fixtureB)\\r\\n || !dataB.getCollisionReaction().canCollide(fixtureA, fixtureB)) {\\r\\n return false;\\r\\n }\\r\\n return true;\\r\\n }\\r\\n }\\r\\n return true;\\r\\n }\",\n \"private boolean removePermitted(Collection removeInstances) {\\n for (Object removeInstance : removeInstances) {\\n Entity next = (Entity) removeInstance;\\n if (!removePermitted(next.getMetaClass()))\\n return false;\\n }\\n return true;\\n }\",\n \"public boolean couldWrap(Cargo other) {\\n return getCarrierTarget() == other.getCarrierTarget()\\n && getNewSpace() < 0 && other.getNewSpace() < 0;\\n }\",\n \"public boolean shouldExecute()\\n {\\n return !super.shouldExecute() ? false : (!this.theEntity.worldObj.getGameRules().getGameRuleBooleanValue(\\\"mobGriefing\\\") ? false : !this.field_151504_e.func_150015_f(this.theEntity.worldObj, this.entityPosX, this.entityPosY, this.entityPosZ));\\n }\",\n \"private boolean isNearToEndPosition() {\\n switch (direction) {\\n case UP:\\n return posY <= endPosition;\\n case DOWN:\\n return posY >= endPosition;\\n case LEFT:\\n return posX <= endPosition;\\n case RIGHT:\\n return posX >= endPosition;\\n }\\n throw new RuntimeException(\\\"Unknown position\\\");\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.66526324","0.63386285","0.62800926","0.6242392","0.6187628","0.61847514","0.61844003","0.6159798","0.61563206","0.6110606","0.6080698","0.60604614","0.59837747","0.59606916","0.59533286","0.59489477","0.5927099","0.59114295","0.5888292","0.5834995","0.58154154","0.58104426","0.5808598","0.58041465","0.5800359","0.57986677","0.57980394","0.57967687","0.5779368","0.57656527","0.5760411","0.5754595","0.575242","0.5743241","0.5711438","0.5700323","0.56761074","0.5662036","0.5656533","0.56530917","0.56528735","0.56528735","0.56457454","0.56407493","0.56391686","0.5602303","0.5602303","0.5590763","0.558208","0.55735934","0.55649984","0.5562315","0.5548727","0.553831","0.5537575","0.55284536","0.5525818","0.5525002","0.55168426","0.5516736","0.5515804","0.5509504","0.5507817","0.5495154","0.54877084","0.548596","0.54814136","0.54788566","0.54770046","0.54734766","0.54668707","0.5462908","0.5458939","0.54558253","0.5437564","0.5436923","0.5423154","0.5419622","0.5416191","0.5415243","0.5414608","0.5410907","0.5406831","0.54061675","0.5400649","0.5394883","0.53940207","0.53855","0.53806907","0.5379837","0.53790873","0.536448","0.5356867","0.53475004","0.5333996","0.5326898","0.53255075","0.5324429","0.53234786","0.53206676"],"string":"[\n \"0.66526324\",\n \"0.63386285\",\n \"0.62800926\",\n \"0.6242392\",\n \"0.6187628\",\n \"0.61847514\",\n \"0.61844003\",\n \"0.6159798\",\n \"0.61563206\",\n \"0.6110606\",\n \"0.6080698\",\n \"0.60604614\",\n \"0.59837747\",\n \"0.59606916\",\n \"0.59533286\",\n \"0.59489477\",\n \"0.5927099\",\n \"0.59114295\",\n \"0.5888292\",\n \"0.5834995\",\n \"0.58154154\",\n \"0.58104426\",\n \"0.5808598\",\n \"0.58041465\",\n \"0.5800359\",\n \"0.57986677\",\n \"0.57980394\",\n \"0.57967687\",\n \"0.5779368\",\n \"0.57656527\",\n \"0.5760411\",\n \"0.5754595\",\n \"0.575242\",\n \"0.5743241\",\n \"0.5711438\",\n \"0.5700323\",\n \"0.56761074\",\n \"0.5662036\",\n \"0.5656533\",\n \"0.56530917\",\n \"0.56528735\",\n \"0.56528735\",\n \"0.56457454\",\n \"0.56407493\",\n \"0.56391686\",\n \"0.5602303\",\n \"0.5602303\",\n \"0.5590763\",\n \"0.558208\",\n \"0.55735934\",\n \"0.55649984\",\n \"0.5562315\",\n \"0.5548727\",\n \"0.553831\",\n \"0.5537575\",\n \"0.55284536\",\n \"0.5525818\",\n \"0.5525002\",\n \"0.55168426\",\n \"0.5516736\",\n \"0.5515804\",\n \"0.5509504\",\n \"0.5507817\",\n \"0.5495154\",\n \"0.54877084\",\n \"0.548596\",\n \"0.54814136\",\n \"0.54788566\",\n \"0.54770046\",\n \"0.54734766\",\n \"0.54668707\",\n \"0.5462908\",\n \"0.5458939\",\n \"0.54558253\",\n \"0.5437564\",\n \"0.5436923\",\n \"0.5423154\",\n \"0.5419622\",\n \"0.5416191\",\n \"0.5415243\",\n \"0.5414608\",\n \"0.5410907\",\n \"0.5406831\",\n \"0.54061675\",\n \"0.5400649\",\n \"0.5394883\",\n \"0.53940207\",\n \"0.53855\",\n \"0.53806907\",\n \"0.5379837\",\n \"0.53790873\",\n \"0.536448\",\n \"0.5356867\",\n \"0.53475004\",\n \"0.5333996\",\n \"0.5326898\",\n \"0.53255075\",\n \"0.5324429\",\n \"0.53234786\",\n \"0.53206676\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.5431725"},"document_rank":{"kind":"string","value":"76"}}},{"rowIdx":32586,"cells":{"query":{"kind":"string","value":"Returns true if this entity should push and be pushed by other entities when colliding."},"document":{"kind":"string","value":"@Override\r\n public boolean canBePushed()\r\n {\r\n return true;\r\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["protected boolean isColliding() {\n\t\treturn phxService.isColliding(this);\n\t}","@Override\n\tpublic boolean canBePushed() {\n\t\treturn super.canBePushed() && isEgg();\n\t}","@Override\n\tpublic boolean hasCollide(Entity e) {\n\t\treturn rect.intersects(e.getRectangle());\n\t}","private boolean isPushableBoxCollision(Direction direction){\n //checks if theres is box in called direction and if theres nothing behind it so it can be pushed\n //TODO I could do it more efficiently\n for(Box box : boxes){\n switch (direction){\n case DOWN:\n boolean hej = isNothingBehind(Direction.DOWN, box);\n if(player.getDestinationX()==box.getDestinationX() && player.getDestinationY()+DISTANCE == box.getDestinationY() && hej)\n return true;\n break;\n case UP:\n if(player.getDestinationX()==box.getDestinationX() && player.getDestinationY()-DISTANCE == box.getDestinationY() && isNothingBehind(Direction.UP, box))\n return true;\n break;\n\n case LEFT:\n if(player.getDestinationY()==box.getDestinationY() && player.getDestinationX()-DISTANCE == box.getDestinationX() && isNothingBehind(Direction.LEFT, box))\n return true;\n break;\n case RIGHT:\n if(player.getDestinationY()==box.getDestinationY() && player.getDestinationX()+DISTANCE == box.getDestinationX() && isNothingBehind(Direction.RIGHT, box))\n return true;\n break;\n\n }\n }\n return false;\n }","public boolean isPushed(int x, int y);","public boolean canStack() {\n return this.hasStacking;\n }","public boolean overlapAnyEntity(){\n \treturn this.getSuperWorld().getEntities().stream().anyMatch(T ->this.overlap(T));\n }","@Override\r\n\tpublic boolean collides (Entity other)\r\n\t{\r\n\t\tif (other == owner || other instanceof Missile)\r\n\t\t\treturn false;\r\n\t\telse\r\n\t\t\treturn super.collides(other);\r\n\t}","public boolean isColliding(){\n for(int i = 0; i < eng.getIDManager().getObjectsWithID(\"GameObject\").size(); i++){\n GameObject temp = eng.getIDManager().getObjectsWithID(\"GameObject\").get(i);\n \n if(temp.getHitBox().getBounds().intersects(rect.getBounds()) &&\n temp.getHitBox() != this){\n currentCollidingObject = temp;\n return true;\n }\n }\n \n return false;\n }","public boolean canPlaceEntity() {\n boolean blocked = this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.BLOCKED);\n if (blocked) return false;\n\n return this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.PLACEABLE);\n }","@Override\r\n\tpublic boolean push(T e) {\r\n\t\tif(!isFull()) {\r\n\t\t\tstack[topIndex + 1] = e;\r\n\t\t\ttopIndex++;\r\n\t\t\treturn true;\r\n\t\t}else {\r\n\t\t\treturn false;\r\n\t\t}\r\n\t}","boolean collidedWith(Entity e);","public boolean hasCollidedWith(InteractiveObject obj){\n\t\tif (obj == null) {\n\t\t\treturn false;\n\t\t} else {\n\t\t\treturn (leftCollision(obj) || rightCollision(obj));\n\t\t}\n\t}","public boolean pushIfPossible(Vector2 pos, Direction dir){\n Vector2 vector = getPosInDirection(pos, dir);\n IRobot otherRobot = getRobotOnPos(vector);\n\n if(otherRobot != null){\n if(!canGo(otherRobot.getPos(), dir) || !canGo(pos,dir) || !pushIfPossible(otherRobot.getPos(),dir)){\n return false;\n }\n\n GameScreen.getInstance().unrenderRobot(otherRobot);\n otherRobot.moveOne(dir);\n GameScreen.getInstance().renderRobot(otherRobot);\n }\n\n return true;\n }","@Override\n\tpublic boolean shouldExecute() {\n\t\tif (!theEntity.isTamed())\n\t\t\treturn false;\n\t\telse if (theEntity.isInWater())\n\t\t\treturn false;\n\t\telse if (!theEntity.onGround)\n\t\t\treturn false;\n\t\telse {\n\t\t\tfinal EntityLivingBase var1 = theEntity.getOwner();\n\t\t\treturn var1 == null ? true\n\t\t\t\t\t: theEntity.getDistanceSqToEntity(var1) < 144.0D\n\t\t\t\t\t\t\t&& var1.getAITarget() != null ? false : isSitting;\n\t\t}\n\t}","public boolean overlapsWith()\r\n\t{\r\n\t\tboolean alive = false;\r\n\t\tfor (Platforms platform : platforms)\r\n\t\t{\r\n\t\t\tif (getAvatar().getX() == platform.getX() && getAvatar().getY() == platform.getY())\r\n\t\t\t{\r\n\t\t\t\talive = true;\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn alive;\r\n\t}","boolean publish() {\n pendingOps.incrementAndGet();\n State currentState = state.get();\n if (currentState == State.FROZEN || currentState == State.RELEASED) {\n pendingOps.decrementAndGet();\n return false;\n }\n return true;\n }","public boolean canBeCollidedWith()\n {\n return !this.isDead;\n }","public boolean canBeCollidedWith()\n {\n return !this.isDead;\n }","public boolean canMove() {\n ArrayList<Location> valid = canMoveInit();\n if (valid == null || valid.isEmpty()) {\n return false;\n }\n ArrayList<Location> lastCross = crossLocation.peek();\n for (Location loc : valid) {\n Actor actor = (Actor) getGrid().get(loc);\n if (actor instanceof Rock && actor.getColor().equals(Color.RED)) {\n next = loc;\n isEnd = true;\n return false;\n }\n if (!lastCross.contains(loc)) {\n lastCross.add(loc);\n next = loc;\n ArrayList<Location> nextCross = new ArrayList<>();\n nextCross.add(next);\n nextCross.add(last);\n crossLocation.push(nextCross);\n return probabilityAdd();\n }\n }\n next = lastCross.get(1);\n crossLocation.pop();\n return probabilitySub();\n }","@Override\n public boolean isValid() {\n return isAdded() && !isDetached();\n }","public boolean overlap(Entity entity){\n \t\n \tif (entity == null) throw new IllegalArgumentException(\"The second entity does not exist. @overlap\");\n\t\tif (this == entity) return true;\n\t\treturn this.getDistanceBetweenEdge(entity) <= -0.01;\n }","@Override\n\tpublic boolean contains(Object entity) {\n\t\treturn false;\n\t}","public boolean checkItem () {\r\n\t\tfor (Entity e : getLocation().getWorld().getEntities())\r\n\t\t{\r\n\t\t\tdouble x = e.getLocation().getX();\r\n\t\t\tdouble z = e.getLocation().getZ();\r\n\t\t\tdouble yDiff = getSpawnLocation().getY() - e.getLocation().getY();\r\n \r\n\t\t\tif (yDiff < 0)\r\n\t\t\t\tyDiff *= -1;\r\n\r\n\t\t\tif (x == getSpawnLocation().getX() && yDiff <= 1.5 && z == getSpawnLocation().getZ()) {\r\n \r\n ShowCaseStandalone.slog(Level.FINEST, \"Potential hit on checkItem()\");\r\n\t\t\t\ttry {\r\n\t\t\t\t\tItem itemE = (Item)e;\r\n\t\t\t\t\tif (ItemStackHandler.itemsEqual(itemE.getItemStack(), getItemStack(), true)) {\r\n ShowCaseStandalone.slog(Level.FINEST, \"Existing stack: \" + itemE.getItemStack().toString());\r\n itemE.getItemStack().setAmount(1); //Removes duped items, which can occur.\r\n\t\t\t\t\t\tthis.item = itemE;\r\n\t\t\t\t\t\tscs.log(Level.FINER, \"Attaching to existing item.\");\r\n\t\t\t\t\t\treturn true;\r\n\t\t\t\t\t}\r\n\t\t\t\t} catch (Exception ex) {}\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn false;\r\n\t}","@Override\n\tpublic boolean onValidSurface()\n\t{\n\t\tif (!this.worldObj.getCollidingBoundingBoxes(this, this.getEntityBoundingBox()).isEmpty())\n\t\t{\n\t\t\treturn false;\n\t\t}\n\t\telse\n\t\t{\n\t\t\tint i = Math.max(1, this.blocksToTakeUp());\n\t\t\tint j = Math.max(1, this.blocksToTakeUp());\n\t\t\tBlockPos blockpos = this.hangingPosition.offset(this.facingDirection.getOpposite());\n\t\t\tEnumFacing enumfacing = this.facingDirection.rotateYCCW();\n\n\t\t\tfor (int k = -i / 2 + 1; k < i / 2 + 1; ++k)\n\t\t\t{\n\t\t\t\tfor (int l = -j / 2 + 1; l < j / 2 + 1; ++l)\n\t\t\t\t{\n\t\t\t\t\tBlockPos blockpos1 = blockpos.offset(enumfacing, k).up(l);\n\t\t\t\t\tBlock block = this.worldObj.getBlockState(blockpos1).getBlock();\n\n\t\t\t\t\tif (block.isSideSolid(this.worldObj, blockpos1, this.facingDirection))\n\t\t\t\t\t\tcontinue;\n\n\t\t\t\t\tif (!block.getMaterial().isSolid() && !BlockRedstoneDiode.isRedstoneRepeaterBlockID(block))\n\t\t\t\t\t{\n\t\t\t\t\t\treturn false;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tfor (Entity entity : this.worldObj.getEntitiesWithinAABBExcludingEntity(this, this.getEntityBoundingBox()))\n\t\t\t{\n\t\t\t\tif (entity instanceof EntityHanging)\n\t\t\t\t{\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\treturn true;\n\t\t}\n\t}","public boolean canMerge(Item other);","@Override\n\tpublic boolean checkCollision() {\n\t\treturn true;\n\t}","private boolean isNotColliding(double x, double y, double z, double p_179926_7_) {\n\t\t\tdouble d0 = (x - this.parentEntity.posX) / p_179926_7_;\n\t\t\tdouble d1 = (y - this.parentEntity.posY) / p_179926_7_;\n\t\t\tdouble d2 = (z - this.parentEntity.posZ) / p_179926_7_;\n\t\t\tAxisAlignedBB axisalignedbb = this.parentEntity.getEntityBoundingBox();\n\n\t\t\tfor (int i = 1; (double)i < p_179926_7_; ++i) {\n\t\t\t\taxisalignedbb = axisalignedbb.offset(d0, d1, d2);\n\n\t\t\t\tif (!this.parentEntity.world.getCollisionBoxes(this.parentEntity, axisalignedbb).isEmpty()) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\treturn true;\n\t\t}","public boolean collidesWith(GameObject other) {\n me.setBounds((int) x, (int) y, sprite.getWidth(), sprite.getHeight());\n him.setBounds((int) other.x, (int) other.y, other.sprite.getWidth(), other.sprite.getHeight());\n\n return me.intersects(him);\n }","@Override\r\n public boolean shouldCollide(Fixture fixtureA, Fixture fixtureB) {\n if (fixtureA != null && fixtureA.getBody() != null && fixtureB != null && fixtureB.getBody() != null) {\r\n GenericUserData dataA = (GenericUserData) fixtureA.getBody().getUserData();\r\n GenericUserData dataB = (GenericUserData) fixtureB.getBody().getUserData();\r\n if (dataA != null && dataB != null) {\r\n if (!dataA.getCollisionReaction().canCollide(fixtureA, fixtureB)\r\n || !dataB.getCollisionReaction().canCollide(fixtureA, fixtureB)) {\r\n return false;\r\n }\r\n return true;\r\n }\r\n }\r\n return true;\r\n }","public boolean isCollidable() {\n return collidable;\n }","@Override\n public boolean isCollided(gameObject obj){\n return Rect.intersects(obj.getastRect(), getRectplayer1())||\n Rect.intersects(obj.getastRect(), getRectplayer2()) ||\n Rect.intersects(obj.getastRect(), getRectplayer3()) ||\n Rect.intersects(obj.getastRect(), getRectplayer4());\n }","@Override\r\n public boolean canBeCollidedWith()\r\n {\r\n return !this.isDead;\r\n }","public boolean push(Card card) {\n if (this.size() == 0) {\n if (card.get_value() != 1) {\n return false;\n }\n else {\n this.color = card.get_color();\n this.force_push(card);\n return true;\n }\n }\n else if (card.get_color() == this.color && card.get_value() == (1 + this.top().get_value())) {\n this.force_push(card);\n return true;\n }\n else {\n return false;\n }\n }","default boolean willAccept(ItemStack stack) {\n if (InvTools.isEmpty(stack))\n return false;\n ItemStack newStack = InvTools.copyOne(stack);\n return streamSlots().anyMatch(slot -> slot.canPutStackInSlot(newStack));\n }","@Override\n\tpublic boolean canBeCollidedWith() {\n\t\treturn !this.isDead;\n\t}","public abstract boolean push(Object E);","private boolean isMovementCausedByEntityBump(Player p) {\n double requiredDistance = 0.5;\n\n //If both bump and hurt by mob protections are disabled then we can just ignore this\n if (!(plugin.getConfig().getBoolean(\"Protections.Bump\") || plugin.getConfig().getBoolean(\"Protections.HurtByMob\")))\n return false;\n\n //Check if the player has been attacked by a mob in bump range\n boolean playerAttacked = false;\n EntityDamageEvent event = p.getLastDamageCause();\n Entity damager = null;\n if (event instanceof EntityDamageByEntityEvent) {\n damager = ((EntityDamageByEntityEvent) event).getDamager();\n }\n\n boolean isEntityClose = false;\n //Find all entities within the required range\n for (Entity e : p.getNearbyEntities(requiredDistance, requiredDistance, requiredDistance)) {\n if (e instanceof Monster || e instanceof Player) {\n if (e.equals(damager)) {\n playerAttacked = true;\n }\n isEntityClose = true;\n break;\n }\n }\n //If bump is enabled and the player was bumped by an entity then we report as a bump\n if (plugin.getConfig().getBoolean(\"Protections.Bump\") && isEntityClose)\n return true;\n //Report as bump is mob protection is on and they were attacked or a mob is close\n return plugin.getConfig().getBoolean(\"Protections.HurtByMob\") && (playerAttacked || isEntityClose);\n }","public boolean collision(Objet o) {\r\n\t\treturn false;\r\n\t}","public boolean canHit(Figure entity) {\n return true;\n }","public abstract boolean collisionWith(CollisionObject obj);","public boolean accept() {\n if (!this.getQueue().isEmpty()) {\n Person p = this.getQueue().getFront();\n Planet planet = this.getPlanetForPerson(p);\n\n if (planet != null) {\n planet.addPerson(p);\n this.getQueue().dequeue();\n return true;\n\n }\n }\n return false;\n }","public boolean intersects(Entity other) {\n return other.getBoundary().intersects(this.getBoundary());\n }","public boolean collides(Rectangle player) {\r\n return player.overlaps(boundsTop) || player.overlaps(boundsBot);\r\n }","public boolean isHit(Collideable otherCol){\n return this.collideable.getHitX() - otherCol.getHitX() < 50\n && this.collideable.getHitX() - otherCol.getHitX() > -50\n && this.collideable.getHitY() - otherCol.getHitY() > -30\n && this.collideable.getHitY() - otherCol.getHitY() < 30;\n }","public boolean isShipAlreadyPiloted() {\t\t\n\t\tfor (ACBaseShip othership : Autocraft.shipmanager.ships.values()) {\n\t\t\tfor (int i = 0; i < othership.blocks.length; i++) {\n\t\t\t\tif (blockBelongsToShip(othership.blocks[i], blocks))\n\t\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t}","@Override\r\n public boolean canTakeStack(EntityPlayer playerIn) {\n return super.canTakeStack(playerIn);\r\n }","public boolean collides(MovingEntity s) {\n\t\tif (_shape != null && s.getShape() != null) \n\t\t\treturn _shape.collides(s.getShape());\n\t\treturn false;\n\t}","public boolean collidesWith(ICollider other);","public boolean isPressed() {\r\n List<Entity> entities = dungeon.getEntities();\r\n for (Entity e: entities) {\r\n if (e != null && e.getY() == getY() && e.getX() == getX()) {\r\n if (\"Boulder\".equals(e.getClass().getSimpleName()))\r\n return true;\r\n }\r\n }\r\n return false;\r\n }","public boolean isTurnOngoing() {\n int numEntitiesWithActions = 0;\n for (Entity entity : entitiesInCombat) {\n if (entity.canAct()) {\n numEntitiesWithActions++;\n }\n }\n return numEntitiesWithActions > 0;\n }","public boolean isGroupPossible()\n\t\t{\n\t\t\treturn this.m_allowedAddGroupRefs != null && ! this.m_allowedAddGroupRefs.isEmpty();\n\n\t\t}","public boolean isStackable() {\r\n\t\treturn stackable;\r\n\t}","public boolean canMove() {\r\n return (state == State.VULNERABLE || state == State.INVULNERABLE);\r\n\r\n }","@Override\n\tpublic boolean isExists(ConquestMoveEffect entity) {\n\t\treturn false;\n\t}","public abstract boolean canPushMaterial(ShortPoint2D position);","public boolean isHit() { return hit; }","@Override\n\tpublic boolean isRefush() {\n\t\treturn false;\n\t}","public boolean canMoveTo(Position position){\n return !isOccupied(position);\n }","public boolean moveUp() {\n if (position.isLinked(position.getNorth())) {\n position.getGameObjects().remove(this.type);\n position = position.getNorth();\n position.getGameObjects().add(this.type);\n return true;\n }\n return false;\n }","public boolean isQueue() {\n return this == QUEUE;\n }","public boolean collides(Player p) {\n\t\treturn (first.collides(p) || this.rest.collides(p));\n\t}","public boolean placeStack(TakStack stack, Point p){\n // START CONDITIONS\n //----------------\n // Is the space empty that we are trying to place\n if(stacks[p.x][p.y].size() > 0) return false;\n //----------------\n // END CONDITIONS\n\n // Valid - move start operation\n // Add new piece to the stack\n stacks[p.x][p.y].add(stack);\n\n // RETURN FALSE WHILE NOT IMPLEMENTED\n return true;\n }","public boolean canBeCollidedWith() {\n\t\treturn false;\n\t}","public boolean canCollide() {\n\t\treturn false;\r\n\t}","public boolean canMove() {\n\n if (workers.size() == 0) return true;\n\n return workerCanMove(0) || workerCanMove(1);\n }","private boolean shouldRush(GameInfo intel) {\n if (intel.getNumPlayers() > 2) {\n return false;\n }\n\n final GameMap gameMap = intel.getGamemap();\n final Map<Integer, Ship> myShips = gameMap.getMyPlayer().getShips();\n\n // get enemy player ships\n for (Player player : gameMap.getAllPlayers()) {\n if (player.getId() != gameMap.getMyPlayerId()) {\n for (Ship ship : player.getShips().values()) {\n for (Ship myShip : myShips.values()) {\n if (myShip.getDistanceTo(ship) < RUSH_MAX_DISTANCE) {\n return true;\n }\n }\n }\n }\n }\n\n return false;\n }","public final boolean run() {\n\t\tif (!alreadyCalled) {\n\t\t\talreadyCalled = true;\n\t\t\treturn false;\n\t\t}\n\n\t\tfinal World world = this.world.get();\n\n\t\tif (world == null) {\n\t\t\treturn true;\n\t\t}\n\n\t\tfinal EntityPlayer player = this.player.get();\n\n\t\tif (player == null) {\n\t\t\treturn true;\n\t\t}\n\n\t\tplace(world, player);\n\n\t\t//Drop any remaining items\n\t\tfor (EntityItem drop : drops) {\n\t\t\tworld.spawnEntity(drop);\n\t\t}\n\n\t\treturn true;\n\t}","private boolean leftUpCollision(InteractiveObject obj){\n\t\treturn (((this.getX() - obj.getX()) < obj.getWidth()) && (this.getX() > obj.getX()) &&\n\t\t\t\t((this.getY() - obj.getY()) < obj.getHeight()) && (this.getY() > obj.getY()));\n\t}","public boolean isGround() {\n\t return this != WALL && this != BOUNDS;\n\t}","boolean isAllOnDestination(){\n\n if(player.getCurrentX()-player.getDestinationX()!=0 || player.getCurrentY()-player.getDestinationY()!=0)\n return false;\n\n for(int i = 0; i < boxes.size(); i++){\n Box item = boxes.get(i);\n if(item.getCurrentX()-item.getDestinationX()!=0 || item.getCurrentY()-item.getDestinationY()!=0)\n return false;\n }\n return true;\n }","public boolean canMove() {\n return (Math.abs(getDist())>=50);\n }","private boolean isObjectAPaddle(GObject collider) {\n return (collider == paddle);\n }","public boolean canBeCollidedWith() {\n return false;\n }","public boolean shouldExecute() {\n\t\t\tEntityMoveHelper entitymovehelper = this.parentEntity.getMoveHelper();\n\n\t\t\tif (!entitymovehelper.isUpdating()) {\n\t\t\t\treturn true;\n\t\t\t} else {\n\t\t\t\tdouble d0 = entitymovehelper.getX() - this.parentEntity.posX;\n\t\t\t\tdouble d1 = entitymovehelper.getY() - this.parentEntity.posY;\n\t\t\t\tdouble d2 = entitymovehelper.getZ() - this.parentEntity.posZ;\n\t\t\t\tdouble d3 = d0 * d0 + d1 * d1 + d2 * d2;\n\t\t\t\treturn d3 < 1.0D || d3 > 3600.0D;\n\t\t\t}\n\t\t}","public boolean collidesWith(SpriteBase otherSprite) {\r\n boolean toReturn = false;\r\n\r\n if (distTo(otherSprite.x, x) < collideSize && distTo(otherSprite.y,y) < collideSize){\r\n toReturn = true;\r\n }\r\n\r\n return (toReturn);\r\n }","public boolean canBeMerged(Releaseplan entity) {\r\n\t\treturn true;\r\n\t}","public boolean areOverlapping() {\n return areOverlapping;\n }","private boolean rightUpCollision(InteractiveObject obj){\n\t\treturn (((obj.getX() - this.getX()) < this.getWidth()) && (obj.getX() > this.getX()) &&\n\t\t\t\t((this.getY() - obj.getY()) < obj.getHeight()) && (this.getY() > obj.getY()));\n\t}","protected boolean shouldDropUpMessage(@SuppressWarnings(\"UnusedParameters\") Message msg, Address sender) {\n if(discard_all && !sender.equals(local_addr))\n return true;\n\n if(ignoredMembers.contains(sender)) {\n if(log.isTraceEnabled())\n log.trace(local_addr + \": dropping message from \" + sender);\n num_up++;\n return true;\n }\n\n if(up > 0) {\n double r=Math.random();\n if(r < up) {\n if(excludeItself && sender.equals(local_addr)) {\n if(log.isTraceEnabled())\n log.trace(\"excluding myself\");\n }\n else {\n if(log.isTraceEnabled())\n log.trace(local_addr + \": dropping message from \" + sender);\n num_up++;\n return true;\n }\n }\n }\n return false;\n }","public boolean snakeHasCollided() {\n if (isOutOfBounds(snake.getHead())) {\n return true;\n }\n //If head has hit body\n for (Cell snakeBody: snake.getBody()) {\n if (snake.getHead().equals(snakeBody)) {\n return true;\n }\n }\n return false;\n }","public boolean hasPushEvent();","public boolean canInsertItem(World world, ItemStack stack)\n\t{\n\t\tTileEntity te = world.getTileEntity(this.pos);\n\t\t\n\t\tif (te == null) return false;\n\t\t\n\t\tLazyOptional<IItemHandler> optionalHandler = te.getCapability(CapabilityItemHandler.ITEM_HANDLER_CAPABILITY, this.face);\n\t\treturn optionalHandler.map(handler -> canInsertItem(handler, stack)).orElse(false);\n\t}","@Override\r\n\tpublic boolean canMove() {\r\n\t\treturn false;\r\n\t}","public boolean canBeMerged(MInspectSetting entity) {\n\t\treturn true;\n\t}","public boolean playerCollide(Player player) {\n return RectF.intersects(new RectF(this.rect), player.getRect());\n }","public boolean inGoalRegion() {\n return position >= GOAL_POSITION;\n }","@Override\n\tpublic boolean push(T e) throws StackOverflowException {\n\t\t//If the stack is full, throw Exception\n\t\tif(this.isFull()) throw new StackOverflowException(\"The stack is full. The operation may not be completed\");\n\t\t\n\t\telse {\n\t\t\tNode newNode = new Node(e, topNode);\n\t\t\ttopNode = newNode;\n\t\t\tnodeCount++;\n\t\t\treturn true;\n\t\t}\n\t}","public boolean percolates() {\n return backwashQuickUnion.connected(virtualTop, virtualBottom);\n }","boolean isTopCollision(Actor actor) {\n return this.getX() == actor.getX() && this.getY() - 1 == actor.getY();\n }","@Override\n public boolean canMove(double x, double y) {\n return !getOwner().isDead();\n }","public abstract boolean isCollided();","public boolean willBoxesCollide(Unit player, float deltaX, float deltaY) {\n\tScene currentScene = WorldMap.getInstance().getCurrentScene();\n\tfor (Obstacle obstacle : currentScene.getObstacleList()) {\n\t if (player.collisionBetweenBoxes(deltaX, deltaY, obstacle) && player.getPosZ() < obstacle.getProtrusionHeight())\n\t\treturn true;\n\t}\n\t \n\treturn false;\n }","@Override\n public boolean isGameOver() {\n if (!gameStarted) {\n return false;\n }\n // If any non-foundation pile still has cards, the game is not over.\n for (IPile pile : this.cascadePiles) {\n if (!pile.isEmpty()) {\n return false;\n }\n }\n for (IPile pile : this.openPiles) {\n if (!pile.isEmpty()) {\n return false;\n }\n }\n // If all the non-foundation piles are empty, the foundation piles must all be full,\n // so the game is over.\n return true;\n }","public boolean canMoveEntity (Entity entity, Point dest) {\n if (entity == null) throw new IllegalArgumentException(\"Entity is null\");\n if (dest == null) throw new IllegalArgumentException(\"Point is null\");\n if (!grid.containsKey(dest)) throw new IllegalArgumentException(\"The cell is not on the grid\");\n\n Point origin = entity.getCoords();\n\n if (origin.equals(dest)) return false;\n\n Vector vector = Vector.findStraightVector(origin, dest);\n\n if (vector == null) return false;\n Vector step = new Vector(vector.axis(), (int) (1 * Math.signum(vector.length())));\n Point probe = (Point) origin.clone();\n while (!probe.equals(dest)) {\n probe = step.applyVector(probe);\n if (!grid.containsKey(probe)) return false;\n }\n\n\n return true;\n }","private boolean hasCollided() {\r\n //Has the snake collided with itself?\r\n for (int i = 1; i < snake.getLength(); i++) {\r\n if (snake.getHead().equals(snake.getBody(i))) {\r\n return true;\r\n }\r\n }\r\n //Has the snake colided with the edge of the game grid?\r\n return snake.getHead().getX() < 0 || snake.getHead().getX() >= gridWidth || snake.getHead().getY() < 0 || snake.getHead().getY() >= gridHeight;\r\n }","protected boolean canMoveOver(final WorkItem originalWorkItem, final WorkItem targetWorkItem) {\n\t\t// Validate that the items that are moving are the same type.\n\t\tif (originalWorkItem.getType() != targetWorkItem.getType()) {\n\t\t\treturn false;\n\t\t}\n\n\t\t// if both are type task, check if are from the same story.\n\t\tif (originalWorkItem.getType() == WorkItemType.TASK && targetWorkItem.getType() == WorkItemType.TASK) {\n\n\t\t\tfinal Story originParent = ((Task) originalWorkItem).getStory();\n\t\t\tfinal Story targetParent = ((Task) targetWorkItem).getStory();\n\n\t\t\tif (!(originParent == null && targetParent == null) // for tasks without story\n\t\t\t\t\t&& (originParent == null || targetParent == null\n\t\t\t\t\t|| !originParent.equals(targetParent))) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\n\t\treturn true;\n\t}","public boolean collisionDetected() {\r\n\t\tfor (GameElement target : getTargets()) {\r\n\t\t\tif (myInitiator.intersects(target) && checkTargetMatch(target)) {\r\n\t\t\t\treturn true;\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn false;\r\n\t}","public boolean overlap(Entity otherEntity) throws IllegalArgumentException {\n\t\tif (otherEntity == null) \n\t\t\tthrow new IllegalArgumentException(\"Invalid argument object (null).\");\n\t\tif (this == otherEntity) return true;\n\t\t\n\t\tif ( this.getDistanceBetween(otherEntity) < -0.01)\n\t\t\treturn true;\n\t\telse\n\t\t\treturn false;\n\t}","public boolean isCollidable() {\n return tileCollidable;\n }"],"string":"[\n \"protected boolean isColliding() {\\n\\t\\treturn phxService.isColliding(this);\\n\\t}\",\n \"@Override\\n\\tpublic boolean canBePushed() {\\n\\t\\treturn super.canBePushed() && isEgg();\\n\\t}\",\n \"@Override\\n\\tpublic boolean hasCollide(Entity e) {\\n\\t\\treturn rect.intersects(e.getRectangle());\\n\\t}\",\n \"private boolean isPushableBoxCollision(Direction direction){\\n //checks if theres is box in called direction and if theres nothing behind it so it can be pushed\\n //TODO I could do it more efficiently\\n for(Box box : boxes){\\n switch (direction){\\n case DOWN:\\n boolean hej = isNothingBehind(Direction.DOWN, box);\\n if(player.getDestinationX()==box.getDestinationX() && player.getDestinationY()+DISTANCE == box.getDestinationY() && hej)\\n return true;\\n break;\\n case UP:\\n if(player.getDestinationX()==box.getDestinationX() && player.getDestinationY()-DISTANCE == box.getDestinationY() && isNothingBehind(Direction.UP, box))\\n return true;\\n break;\\n\\n case LEFT:\\n if(player.getDestinationY()==box.getDestinationY() && player.getDestinationX()-DISTANCE == box.getDestinationX() && isNothingBehind(Direction.LEFT, box))\\n return true;\\n break;\\n case RIGHT:\\n if(player.getDestinationY()==box.getDestinationY() && player.getDestinationX()+DISTANCE == box.getDestinationX() && isNothingBehind(Direction.RIGHT, box))\\n return true;\\n break;\\n\\n }\\n }\\n return false;\\n }\",\n \"public boolean isPushed(int x, int y);\",\n \"public boolean canStack() {\\n return this.hasStacking;\\n }\",\n \"public boolean overlapAnyEntity(){\\n \\treturn this.getSuperWorld().getEntities().stream().anyMatch(T ->this.overlap(T));\\n }\",\n \"@Override\\r\\n\\tpublic boolean collides (Entity other)\\r\\n\\t{\\r\\n\\t\\tif (other == owner || other instanceof Missile)\\r\\n\\t\\t\\treturn false;\\r\\n\\t\\telse\\r\\n\\t\\t\\treturn super.collides(other);\\r\\n\\t}\",\n \"public boolean isColliding(){\\n for(int i = 0; i < eng.getIDManager().getObjectsWithID(\\\"GameObject\\\").size(); i++){\\n GameObject temp = eng.getIDManager().getObjectsWithID(\\\"GameObject\\\").get(i);\\n \\n if(temp.getHitBox().getBounds().intersects(rect.getBounds()) &&\\n temp.getHitBox() != this){\\n currentCollidingObject = temp;\\n return true;\\n }\\n }\\n \\n return false;\\n }\",\n \"public boolean canPlaceEntity() {\\n boolean blocked = this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.BLOCKED);\\n if (blocked) return false;\\n\\n return this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.PLACEABLE);\\n }\",\n \"@Override\\r\\n\\tpublic boolean push(T e) {\\r\\n\\t\\tif(!isFull()) {\\r\\n\\t\\t\\tstack[topIndex + 1] = e;\\r\\n\\t\\t\\ttopIndex++;\\r\\n\\t\\t\\treturn true;\\r\\n\\t\\t}else {\\r\\n\\t\\t\\treturn false;\\r\\n\\t\\t}\\r\\n\\t}\",\n \"boolean collidedWith(Entity e);\",\n \"public boolean hasCollidedWith(InteractiveObject obj){\\n\\t\\tif (obj == null) {\\n\\t\\t\\treturn false;\\n\\t\\t} else {\\n\\t\\t\\treturn (leftCollision(obj) || rightCollision(obj));\\n\\t\\t}\\n\\t}\",\n \"public boolean pushIfPossible(Vector2 pos, Direction dir){\\n Vector2 vector = getPosInDirection(pos, dir);\\n IRobot otherRobot = getRobotOnPos(vector);\\n\\n if(otherRobot != null){\\n if(!canGo(otherRobot.getPos(), dir) || !canGo(pos,dir) || !pushIfPossible(otherRobot.getPos(),dir)){\\n return false;\\n }\\n\\n GameScreen.getInstance().unrenderRobot(otherRobot);\\n otherRobot.moveOne(dir);\\n GameScreen.getInstance().renderRobot(otherRobot);\\n }\\n\\n return true;\\n }\",\n \"@Override\\n\\tpublic boolean shouldExecute() {\\n\\t\\tif (!theEntity.isTamed())\\n\\t\\t\\treturn false;\\n\\t\\telse if (theEntity.isInWater())\\n\\t\\t\\treturn false;\\n\\t\\telse if (!theEntity.onGround)\\n\\t\\t\\treturn false;\\n\\t\\telse {\\n\\t\\t\\tfinal EntityLivingBase var1 = theEntity.getOwner();\\n\\t\\t\\treturn var1 == null ? true\\n\\t\\t\\t\\t\\t: theEntity.getDistanceSqToEntity(var1) < 144.0D\\n\\t\\t\\t\\t\\t\\t\\t&& var1.getAITarget() != null ? false : isSitting;\\n\\t\\t}\\n\\t}\",\n \"public boolean overlapsWith()\\r\\n\\t{\\r\\n\\t\\tboolean alive = false;\\r\\n\\t\\tfor (Platforms platform : platforms)\\r\\n\\t\\t{\\r\\n\\t\\t\\tif (getAvatar().getX() == platform.getX() && getAvatar().getY() == platform.getY())\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\talive = true;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn alive;\\r\\n\\t}\",\n \"boolean publish() {\\n pendingOps.incrementAndGet();\\n State currentState = state.get();\\n if (currentState == State.FROZEN || currentState == State.RELEASED) {\\n pendingOps.decrementAndGet();\\n return false;\\n }\\n return true;\\n }\",\n \"public boolean canBeCollidedWith()\\n {\\n return !this.isDead;\\n }\",\n \"public boolean canBeCollidedWith()\\n {\\n return !this.isDead;\\n }\",\n \"public boolean canMove() {\\n ArrayList<Location> valid = canMoveInit();\\n if (valid == null || valid.isEmpty()) {\\n return false;\\n }\\n ArrayList<Location> lastCross = crossLocation.peek();\\n for (Location loc : valid) {\\n Actor actor = (Actor) getGrid().get(loc);\\n if (actor instanceof Rock && actor.getColor().equals(Color.RED)) {\\n next = loc;\\n isEnd = true;\\n return false;\\n }\\n if (!lastCross.contains(loc)) {\\n lastCross.add(loc);\\n next = loc;\\n ArrayList<Location> nextCross = new ArrayList<>();\\n nextCross.add(next);\\n nextCross.add(last);\\n crossLocation.push(nextCross);\\n return probabilityAdd();\\n }\\n }\\n next = lastCross.get(1);\\n crossLocation.pop();\\n return probabilitySub();\\n }\",\n \"@Override\\n public boolean isValid() {\\n return isAdded() && !isDetached();\\n }\",\n \"public boolean overlap(Entity entity){\\n \\t\\n \\tif (entity == null) throw new IllegalArgumentException(\\\"The second entity does not exist. @overlap\\\");\\n\\t\\tif (this == entity) return true;\\n\\t\\treturn this.getDistanceBetweenEdge(entity) <= -0.01;\\n }\",\n \"@Override\\n\\tpublic boolean contains(Object entity) {\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean checkItem () {\\r\\n\\t\\tfor (Entity e : getLocation().getWorld().getEntities())\\r\\n\\t\\t{\\r\\n\\t\\t\\tdouble x = e.getLocation().getX();\\r\\n\\t\\t\\tdouble z = e.getLocation().getZ();\\r\\n\\t\\t\\tdouble yDiff = getSpawnLocation().getY() - e.getLocation().getY();\\r\\n \\r\\n\\t\\t\\tif (yDiff < 0)\\r\\n\\t\\t\\t\\tyDiff *= -1;\\r\\n\\r\\n\\t\\t\\tif (x == getSpawnLocation().getX() && yDiff <= 1.5 && z == getSpawnLocation().getZ()) {\\r\\n \\r\\n ShowCaseStandalone.slog(Level.FINEST, \\\"Potential hit on checkItem()\\\");\\r\\n\\t\\t\\t\\ttry {\\r\\n\\t\\t\\t\\t\\tItem itemE = (Item)e;\\r\\n\\t\\t\\t\\t\\tif (ItemStackHandler.itemsEqual(itemE.getItemStack(), getItemStack(), true)) {\\r\\n ShowCaseStandalone.slog(Level.FINEST, \\\"Existing stack: \\\" + itemE.getItemStack().toString());\\r\\n itemE.getItemStack().setAmount(1); //Removes duped items, which can occur.\\r\\n\\t\\t\\t\\t\\t\\tthis.item = itemE;\\r\\n\\t\\t\\t\\t\\t\\tscs.log(Level.FINER, \\\"Attaching to existing item.\\\");\\r\\n\\t\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t} catch (Exception ex) {}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"@Override\\n\\tpublic boolean onValidSurface()\\n\\t{\\n\\t\\tif (!this.worldObj.getCollidingBoundingBoxes(this, this.getEntityBoundingBox()).isEmpty())\\n\\t\\t{\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tint i = Math.max(1, this.blocksToTakeUp());\\n\\t\\t\\tint j = Math.max(1, this.blocksToTakeUp());\\n\\t\\t\\tBlockPos blockpos = this.hangingPosition.offset(this.facingDirection.getOpposite());\\n\\t\\t\\tEnumFacing enumfacing = this.facingDirection.rotateYCCW();\\n\\n\\t\\t\\tfor (int k = -i / 2 + 1; k < i / 2 + 1; ++k)\\n\\t\\t\\t{\\n\\t\\t\\t\\tfor (int l = -j / 2 + 1; l < j / 2 + 1; ++l)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tBlockPos blockpos1 = blockpos.offset(enumfacing, k).up(l);\\n\\t\\t\\t\\t\\tBlock block = this.worldObj.getBlockState(blockpos1).getBlock();\\n\\n\\t\\t\\t\\t\\tif (block.isSideSolid(this.worldObj, blockpos1, this.facingDirection))\\n\\t\\t\\t\\t\\t\\tcontinue;\\n\\n\\t\\t\\t\\t\\tif (!block.getMaterial().isSolid() && !BlockRedstoneDiode.isRedstoneRepeaterBlockID(block))\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tfor (Entity entity : this.worldObj.getEntitiesWithinAABBExcludingEntity(this, this.getEntityBoundingBox()))\\n\\t\\t\\t{\\n\\t\\t\\t\\tif (entity instanceof EntityHanging)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t}\",\n \"public boolean canMerge(Item other);\",\n \"@Override\\n\\tpublic boolean checkCollision() {\\n\\t\\treturn true;\\n\\t}\",\n \"private boolean isNotColliding(double x, double y, double z, double p_179926_7_) {\\n\\t\\t\\tdouble d0 = (x - this.parentEntity.posX) / p_179926_7_;\\n\\t\\t\\tdouble d1 = (y - this.parentEntity.posY) / p_179926_7_;\\n\\t\\t\\tdouble d2 = (z - this.parentEntity.posZ) / p_179926_7_;\\n\\t\\t\\tAxisAlignedBB axisalignedbb = this.parentEntity.getEntityBoundingBox();\\n\\n\\t\\t\\tfor (int i = 1; (double)i < p_179926_7_; ++i) {\\n\\t\\t\\t\\taxisalignedbb = axisalignedbb.offset(d0, d1, d2);\\n\\n\\t\\t\\t\\tif (!this.parentEntity.world.getCollisionBoxes(this.parentEntity, axisalignedbb).isEmpty()) {\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\treturn true;\\n\\t\\t}\",\n \"public boolean collidesWith(GameObject other) {\\n me.setBounds((int) x, (int) y, sprite.getWidth(), sprite.getHeight());\\n him.setBounds((int) other.x, (int) other.y, other.sprite.getWidth(), other.sprite.getHeight());\\n\\n return me.intersects(him);\\n }\",\n \"@Override\\r\\n public boolean shouldCollide(Fixture fixtureA, Fixture fixtureB) {\\n if (fixtureA != null && fixtureA.getBody() != null && fixtureB != null && fixtureB.getBody() != null) {\\r\\n GenericUserData dataA = (GenericUserData) fixtureA.getBody().getUserData();\\r\\n GenericUserData dataB = (GenericUserData) fixtureB.getBody().getUserData();\\r\\n if (dataA != null && dataB != null) {\\r\\n if (!dataA.getCollisionReaction().canCollide(fixtureA, fixtureB)\\r\\n || !dataB.getCollisionReaction().canCollide(fixtureA, fixtureB)) {\\r\\n return false;\\r\\n }\\r\\n return true;\\r\\n }\\r\\n }\\r\\n return true;\\r\\n }\",\n \"public boolean isCollidable() {\\n return collidable;\\n }\",\n \"@Override\\n public boolean isCollided(gameObject obj){\\n return Rect.intersects(obj.getastRect(), getRectplayer1())||\\n Rect.intersects(obj.getastRect(), getRectplayer2()) ||\\n Rect.intersects(obj.getastRect(), getRectplayer3()) ||\\n Rect.intersects(obj.getastRect(), getRectplayer4());\\n }\",\n \"@Override\\r\\n public boolean canBeCollidedWith()\\r\\n {\\r\\n return !this.isDead;\\r\\n }\",\n \"public boolean push(Card card) {\\n if (this.size() == 0) {\\n if (card.get_value() != 1) {\\n return false;\\n }\\n else {\\n this.color = card.get_color();\\n this.force_push(card);\\n return true;\\n }\\n }\\n else if (card.get_color() == this.color && card.get_value() == (1 + this.top().get_value())) {\\n this.force_push(card);\\n return true;\\n }\\n else {\\n return false;\\n }\\n }\",\n \"default boolean willAccept(ItemStack stack) {\\n if (InvTools.isEmpty(stack))\\n return false;\\n ItemStack newStack = InvTools.copyOne(stack);\\n return streamSlots().anyMatch(slot -> slot.canPutStackInSlot(newStack));\\n }\",\n \"@Override\\n\\tpublic boolean canBeCollidedWith() {\\n\\t\\treturn !this.isDead;\\n\\t}\",\n \"public abstract boolean push(Object E);\",\n \"private boolean isMovementCausedByEntityBump(Player p) {\\n double requiredDistance = 0.5;\\n\\n //If both bump and hurt by mob protections are disabled then we can just ignore this\\n if (!(plugin.getConfig().getBoolean(\\\"Protections.Bump\\\") || plugin.getConfig().getBoolean(\\\"Protections.HurtByMob\\\")))\\n return false;\\n\\n //Check if the player has been attacked by a mob in bump range\\n boolean playerAttacked = false;\\n EntityDamageEvent event = p.getLastDamageCause();\\n Entity damager = null;\\n if (event instanceof EntityDamageByEntityEvent) {\\n damager = ((EntityDamageByEntityEvent) event).getDamager();\\n }\\n\\n boolean isEntityClose = false;\\n //Find all entities within the required range\\n for (Entity e : p.getNearbyEntities(requiredDistance, requiredDistance, requiredDistance)) {\\n if (e instanceof Monster || e instanceof Player) {\\n if (e.equals(damager)) {\\n playerAttacked = true;\\n }\\n isEntityClose = true;\\n break;\\n }\\n }\\n //If bump is enabled and the player was bumped by an entity then we report as a bump\\n if (plugin.getConfig().getBoolean(\\\"Protections.Bump\\\") && isEntityClose)\\n return true;\\n //Report as bump is mob protection is on and they were attacked or a mob is close\\n return plugin.getConfig().getBoolean(\\\"Protections.HurtByMob\\\") && (playerAttacked || isEntityClose);\\n }\",\n \"public boolean collision(Objet o) {\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"public boolean canHit(Figure entity) {\\n return true;\\n }\",\n \"public abstract boolean collisionWith(CollisionObject obj);\",\n \"public boolean accept() {\\n if (!this.getQueue().isEmpty()) {\\n Person p = this.getQueue().getFront();\\n Planet planet = this.getPlanetForPerson(p);\\n\\n if (planet != null) {\\n planet.addPerson(p);\\n this.getQueue().dequeue();\\n return true;\\n\\n }\\n }\\n return false;\\n }\",\n \"public boolean intersects(Entity other) {\\n return other.getBoundary().intersects(this.getBoundary());\\n }\",\n \"public boolean collides(Rectangle player) {\\r\\n return player.overlaps(boundsTop) || player.overlaps(boundsBot);\\r\\n }\",\n \"public boolean isHit(Collideable otherCol){\\n return this.collideable.getHitX() - otherCol.getHitX() < 50\\n && this.collideable.getHitX() - otherCol.getHitX() > -50\\n && this.collideable.getHitY() - otherCol.getHitY() > -30\\n && this.collideable.getHitY() - otherCol.getHitY() < 30;\\n }\",\n \"public boolean isShipAlreadyPiloted() {\\t\\t\\n\\t\\tfor (ACBaseShip othership : Autocraft.shipmanager.ships.values()) {\\n\\t\\t\\tfor (int i = 0; i < othership.blocks.length; i++) {\\n\\t\\t\\t\\tif (blockBelongsToShip(othership.blocks[i], blocks))\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"@Override\\r\\n public boolean canTakeStack(EntityPlayer playerIn) {\\n return super.canTakeStack(playerIn);\\r\\n }\",\n \"public boolean collides(MovingEntity s) {\\n\\t\\tif (_shape != null && s.getShape() != null) \\n\\t\\t\\treturn _shape.collides(s.getShape());\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean collidesWith(ICollider other);\",\n \"public boolean isPressed() {\\r\\n List<Entity> entities = dungeon.getEntities();\\r\\n for (Entity e: entities) {\\r\\n if (e != null && e.getY() == getY() && e.getX() == getX()) {\\r\\n if (\\\"Boulder\\\".equals(e.getClass().getSimpleName()))\\r\\n return true;\\r\\n }\\r\\n }\\r\\n return false;\\r\\n }\",\n \"public boolean isTurnOngoing() {\\n int numEntitiesWithActions = 0;\\n for (Entity entity : entitiesInCombat) {\\n if (entity.canAct()) {\\n numEntitiesWithActions++;\\n }\\n }\\n return numEntitiesWithActions > 0;\\n }\",\n \"public boolean isGroupPossible()\\n\\t\\t{\\n\\t\\t\\treturn this.m_allowedAddGroupRefs != null && ! this.m_allowedAddGroupRefs.isEmpty();\\n\\n\\t\\t}\",\n \"public boolean isStackable() {\\r\\n\\t\\treturn stackable;\\r\\n\\t}\",\n \"public boolean canMove() {\\r\\n return (state == State.VULNERABLE || state == State.INVULNERABLE);\\r\\n\\r\\n }\",\n \"@Override\\n\\tpublic boolean isExists(ConquestMoveEffect entity) {\\n\\t\\treturn false;\\n\\t}\",\n \"public abstract boolean canPushMaterial(ShortPoint2D position);\",\n \"public boolean isHit() { return hit; }\",\n \"@Override\\n\\tpublic boolean isRefush() {\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean canMoveTo(Position position){\\n return !isOccupied(position);\\n }\",\n \"public boolean moveUp() {\\n if (position.isLinked(position.getNorth())) {\\n position.getGameObjects().remove(this.type);\\n position = position.getNorth();\\n position.getGameObjects().add(this.type);\\n return true;\\n }\\n return false;\\n }\",\n \"public boolean isQueue() {\\n return this == QUEUE;\\n }\",\n \"public boolean collides(Player p) {\\n\\t\\treturn (first.collides(p) || this.rest.collides(p));\\n\\t}\",\n \"public boolean placeStack(TakStack stack, Point p){\\n // START CONDITIONS\\n //----------------\\n // Is the space empty that we are trying to place\\n if(stacks[p.x][p.y].size() > 0) return false;\\n //----------------\\n // END CONDITIONS\\n\\n // Valid - move start operation\\n // Add new piece to the stack\\n stacks[p.x][p.y].add(stack);\\n\\n // RETURN FALSE WHILE NOT IMPLEMENTED\\n return true;\\n }\",\n \"public boolean canBeCollidedWith() {\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean canCollide() {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"public boolean canMove() {\\n\\n if (workers.size() == 0) return true;\\n\\n return workerCanMove(0) || workerCanMove(1);\\n }\",\n \"private boolean shouldRush(GameInfo intel) {\\n if (intel.getNumPlayers() > 2) {\\n return false;\\n }\\n\\n final GameMap gameMap = intel.getGamemap();\\n final Map<Integer, Ship> myShips = gameMap.getMyPlayer().getShips();\\n\\n // get enemy player ships\\n for (Player player : gameMap.getAllPlayers()) {\\n if (player.getId() != gameMap.getMyPlayerId()) {\\n for (Ship ship : player.getShips().values()) {\\n for (Ship myShip : myShips.values()) {\\n if (myShip.getDistanceTo(ship) < RUSH_MAX_DISTANCE) {\\n return true;\\n }\\n }\\n }\\n }\\n }\\n\\n return false;\\n }\",\n \"public final boolean run() {\\n\\t\\tif (!alreadyCalled) {\\n\\t\\t\\talreadyCalled = true;\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\tfinal World world = this.world.get();\\n\\n\\t\\tif (world == null) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\n\\t\\tfinal EntityPlayer player = this.player.get();\\n\\n\\t\\tif (player == null) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\n\\t\\tplace(world, player);\\n\\n\\t\\t//Drop any remaining items\\n\\t\\tfor (EntityItem drop : drops) {\\n\\t\\t\\tworld.spawnEntity(drop);\\n\\t\\t}\\n\\n\\t\\treturn true;\\n\\t}\",\n \"private boolean leftUpCollision(InteractiveObject obj){\\n\\t\\treturn (((this.getX() - obj.getX()) < obj.getWidth()) && (this.getX() > obj.getX()) &&\\n\\t\\t\\t\\t((this.getY() - obj.getY()) < obj.getHeight()) && (this.getY() > obj.getY()));\\n\\t}\",\n \"public boolean isGround() {\\n\\t return this != WALL && this != BOUNDS;\\n\\t}\",\n \"boolean isAllOnDestination(){\\n\\n if(player.getCurrentX()-player.getDestinationX()!=0 || player.getCurrentY()-player.getDestinationY()!=0)\\n return false;\\n\\n for(int i = 0; i < boxes.size(); i++){\\n Box item = boxes.get(i);\\n if(item.getCurrentX()-item.getDestinationX()!=0 || item.getCurrentY()-item.getDestinationY()!=0)\\n return false;\\n }\\n return true;\\n }\",\n \"public boolean canMove() {\\n return (Math.abs(getDist())>=50);\\n }\",\n \"private boolean isObjectAPaddle(GObject collider) {\\n return (collider == paddle);\\n }\",\n \"public boolean canBeCollidedWith() {\\n return false;\\n }\",\n \"public boolean shouldExecute() {\\n\\t\\t\\tEntityMoveHelper entitymovehelper = this.parentEntity.getMoveHelper();\\n\\n\\t\\t\\tif (!entitymovehelper.isUpdating()) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tdouble d0 = entitymovehelper.getX() - this.parentEntity.posX;\\n\\t\\t\\t\\tdouble d1 = entitymovehelper.getY() - this.parentEntity.posY;\\n\\t\\t\\t\\tdouble d2 = entitymovehelper.getZ() - this.parentEntity.posZ;\\n\\t\\t\\t\\tdouble d3 = d0 * d0 + d1 * d1 + d2 * d2;\\n\\t\\t\\t\\treturn d3 < 1.0D || d3 > 3600.0D;\\n\\t\\t\\t}\\n\\t\\t}\",\n \"public boolean collidesWith(SpriteBase otherSprite) {\\r\\n boolean toReturn = false;\\r\\n\\r\\n if (distTo(otherSprite.x, x) < collideSize && distTo(otherSprite.y,y) < collideSize){\\r\\n toReturn = true;\\r\\n }\\r\\n\\r\\n return (toReturn);\\r\\n }\",\n \"public boolean canBeMerged(Releaseplan entity) {\\r\\n\\t\\treturn true;\\r\\n\\t}\",\n \"public boolean areOverlapping() {\\n return areOverlapping;\\n }\",\n \"private boolean rightUpCollision(InteractiveObject obj){\\n\\t\\treturn (((obj.getX() - this.getX()) < this.getWidth()) && (obj.getX() > this.getX()) &&\\n\\t\\t\\t\\t((this.getY() - obj.getY()) < obj.getHeight()) && (this.getY() > obj.getY()));\\n\\t}\",\n \"protected boolean shouldDropUpMessage(@SuppressWarnings(\\\"UnusedParameters\\\") Message msg, Address sender) {\\n if(discard_all && !sender.equals(local_addr))\\n return true;\\n\\n if(ignoredMembers.contains(sender)) {\\n if(log.isTraceEnabled())\\n log.trace(local_addr + \\\": dropping message from \\\" + sender);\\n num_up++;\\n return true;\\n }\\n\\n if(up > 0) {\\n double r=Math.random();\\n if(r < up) {\\n if(excludeItself && sender.equals(local_addr)) {\\n if(log.isTraceEnabled())\\n log.trace(\\\"excluding myself\\\");\\n }\\n else {\\n if(log.isTraceEnabled())\\n log.trace(local_addr + \\\": dropping message from \\\" + sender);\\n num_up++;\\n return true;\\n }\\n }\\n }\\n return false;\\n }\",\n \"public boolean snakeHasCollided() {\\n if (isOutOfBounds(snake.getHead())) {\\n return true;\\n }\\n //If head has hit body\\n for (Cell snakeBody: snake.getBody()) {\\n if (snake.getHead().equals(snakeBody)) {\\n return true;\\n }\\n }\\n return false;\\n }\",\n \"public boolean hasPushEvent();\",\n \"public boolean canInsertItem(World world, ItemStack stack)\\n\\t{\\n\\t\\tTileEntity te = world.getTileEntity(this.pos);\\n\\t\\t\\n\\t\\tif (te == null) return false;\\n\\t\\t\\n\\t\\tLazyOptional<IItemHandler> optionalHandler = te.getCapability(CapabilityItemHandler.ITEM_HANDLER_CAPABILITY, this.face);\\n\\t\\treturn optionalHandler.map(handler -> canInsertItem(handler, stack)).orElse(false);\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean canMove() {\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"public boolean canBeMerged(MInspectSetting entity) {\\n\\t\\treturn true;\\n\\t}\",\n \"public boolean playerCollide(Player player) {\\n return RectF.intersects(new RectF(this.rect), player.getRect());\\n }\",\n \"public boolean inGoalRegion() {\\n return position >= GOAL_POSITION;\\n }\",\n \"@Override\\n\\tpublic boolean push(T e) throws StackOverflowException {\\n\\t\\t//If the stack is full, throw Exception\\n\\t\\tif(this.isFull()) throw new StackOverflowException(\\\"The stack is full. The operation may not be completed\\\");\\n\\t\\t\\n\\t\\telse {\\n\\t\\t\\tNode newNode = new Node(e, topNode);\\n\\t\\t\\ttopNode = newNode;\\n\\t\\t\\tnodeCount++;\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t}\",\n \"public boolean percolates() {\\n return backwashQuickUnion.connected(virtualTop, virtualBottom);\\n }\",\n \"boolean isTopCollision(Actor actor) {\\n return this.getX() == actor.getX() && this.getY() - 1 == actor.getY();\\n }\",\n \"@Override\\n public boolean canMove(double x, double y) {\\n return !getOwner().isDead();\\n }\",\n \"public abstract boolean isCollided();\",\n \"public boolean willBoxesCollide(Unit player, float deltaX, float deltaY) {\\n\\tScene currentScene = WorldMap.getInstance().getCurrentScene();\\n\\tfor (Obstacle obstacle : currentScene.getObstacleList()) {\\n\\t if (player.collisionBetweenBoxes(deltaX, deltaY, obstacle) && player.getPosZ() < obstacle.getProtrusionHeight())\\n\\t\\treturn true;\\n\\t}\\n\\t \\n\\treturn false;\\n }\",\n \"@Override\\n public boolean isGameOver() {\\n if (!gameStarted) {\\n return false;\\n }\\n // If any non-foundation pile still has cards, the game is not over.\\n for (IPile pile : this.cascadePiles) {\\n if (!pile.isEmpty()) {\\n return false;\\n }\\n }\\n for (IPile pile : this.openPiles) {\\n if (!pile.isEmpty()) {\\n return false;\\n }\\n }\\n // If all the non-foundation piles are empty, the foundation piles must all be full,\\n // so the game is over.\\n return true;\\n }\",\n \"public boolean canMoveEntity (Entity entity, Point dest) {\\n if (entity == null) throw new IllegalArgumentException(\\\"Entity is null\\\");\\n if (dest == null) throw new IllegalArgumentException(\\\"Point is null\\\");\\n if (!grid.containsKey(dest)) throw new IllegalArgumentException(\\\"The cell is not on the grid\\\");\\n\\n Point origin = entity.getCoords();\\n\\n if (origin.equals(dest)) return false;\\n\\n Vector vector = Vector.findStraightVector(origin, dest);\\n\\n if (vector == null) return false;\\n Vector step = new Vector(vector.axis(), (int) (1 * Math.signum(vector.length())));\\n Point probe = (Point) origin.clone();\\n while (!probe.equals(dest)) {\\n probe = step.applyVector(probe);\\n if (!grid.containsKey(probe)) return false;\\n }\\n\\n\\n return true;\\n }\",\n \"private boolean hasCollided() {\\r\\n //Has the snake collided with itself?\\r\\n for (int i = 1; i < snake.getLength(); i++) {\\r\\n if (snake.getHead().equals(snake.getBody(i))) {\\r\\n return true;\\r\\n }\\r\\n }\\r\\n //Has the snake colided with the edge of the game grid?\\r\\n return snake.getHead().getX() < 0 || snake.getHead().getX() >= gridWidth || snake.getHead().getY() < 0 || snake.getHead().getY() >= gridHeight;\\r\\n }\",\n \"protected boolean canMoveOver(final WorkItem originalWorkItem, final WorkItem targetWorkItem) {\\n\\t\\t// Validate that the items that are moving are the same type.\\n\\t\\tif (originalWorkItem.getType() != targetWorkItem.getType()) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\t// if both are type task, check if are from the same story.\\n\\t\\tif (originalWorkItem.getType() == WorkItemType.TASK && targetWorkItem.getType() == WorkItemType.TASK) {\\n\\n\\t\\t\\tfinal Story originParent = ((Task) originalWorkItem).getStory();\\n\\t\\t\\tfinal Story targetParent = ((Task) targetWorkItem).getStory();\\n\\n\\t\\t\\tif (!(originParent == null && targetParent == null) // for tasks without story\\n\\t\\t\\t\\t\\t&& (originParent == null || targetParent == null\\n\\t\\t\\t\\t\\t|| !originParent.equals(targetParent))) {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn true;\\n\\t}\",\n \"public boolean collisionDetected() {\\r\\n\\t\\tfor (GameElement target : getTargets()) {\\r\\n\\t\\t\\tif (myInitiator.intersects(target) && checkTargetMatch(target)) {\\r\\n\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"public boolean overlap(Entity otherEntity) throws IllegalArgumentException {\\n\\t\\tif (otherEntity == null) \\n\\t\\t\\tthrow new IllegalArgumentException(\\\"Invalid argument object (null).\\\");\\n\\t\\tif (this == otherEntity) return true;\\n\\t\\t\\n\\t\\tif ( this.getDistanceBetween(otherEntity) < -0.01)\\n\\t\\t\\treturn true;\\n\\t\\telse\\n\\t\\t\\treturn false;\\n\\t}\",\n \"public boolean isCollidable() {\\n return tileCollidable;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6355325","0.6125077","0.6086906","0.6044926","0.60097563","0.5969812","0.5795209","0.5775939","0.5759423","0.57459134","0.57184386","0.5670901","0.5588683","0.55532235","0.55366385","0.553662","0.5489457","0.54817945","0.54817945","0.5480415","0.5477269","0.54708505","0.5465405","0.54614955","0.54598624","0.54521686","0.54451615","0.5439475","0.54317063","0.54239905","0.54185224","0.53950185","0.53901","0.5383043","0.537545","0.53749216","0.5371714","0.5344916","0.53444713","0.53437704","0.5342601","0.53226054","0.53165144","0.53057545","0.5305409","0.53040344","0.5302848","0.53009665","0.52967495","0.52958447","0.5293855","0.52913743","0.5288309","0.5285982","0.5282423","0.52769333","0.5268917","0.52657354","0.52626216","0.5259116","0.5254753","0.5243025","0.52392966","0.52310264","0.5228946","0.5224433","0.52208996","0.5215419","0.51989144","0.5198343","0.5189329","0.5186479","0.5178088","0.5176918","0.5172719","0.5168878","0.5166154","0.5162817","0.5153519","0.51463205","0.5140943","0.5138074","0.5137342","0.51215595","0.51194406","0.5113019","0.51125693","0.5110875","0.51108074","0.51069176","0.51064795","0.51049936","0.5103027","0.51029676","0.50988734","0.50987506","0.50951934","0.5091239","0.5091105","0.5090476"],"string":"[\n \"0.6355325\",\n \"0.6125077\",\n \"0.6086906\",\n \"0.6044926\",\n \"0.60097563\",\n \"0.5969812\",\n \"0.5795209\",\n \"0.5775939\",\n \"0.5759423\",\n \"0.57459134\",\n \"0.57184386\",\n \"0.5670901\",\n \"0.5588683\",\n \"0.55532235\",\n \"0.55366385\",\n \"0.553662\",\n \"0.5489457\",\n \"0.54817945\",\n \"0.54817945\",\n \"0.5480415\",\n \"0.5477269\",\n \"0.54708505\",\n \"0.5465405\",\n \"0.54614955\",\n \"0.54598624\",\n \"0.54521686\",\n \"0.54451615\",\n \"0.5439475\",\n \"0.54317063\",\n \"0.54239905\",\n \"0.54185224\",\n \"0.53950185\",\n \"0.53901\",\n \"0.5383043\",\n \"0.537545\",\n \"0.53749216\",\n \"0.5371714\",\n \"0.5344916\",\n \"0.53444713\",\n \"0.53437704\",\n \"0.5342601\",\n \"0.53226054\",\n \"0.53165144\",\n \"0.53057545\",\n \"0.5305409\",\n \"0.53040344\",\n \"0.5302848\",\n \"0.53009665\",\n \"0.52967495\",\n \"0.52958447\",\n \"0.5293855\",\n \"0.52913743\",\n \"0.5288309\",\n \"0.5285982\",\n \"0.5282423\",\n \"0.52769333\",\n \"0.5268917\",\n \"0.52657354\",\n \"0.52626216\",\n \"0.5259116\",\n \"0.5254753\",\n \"0.5243025\",\n \"0.52392966\",\n \"0.52310264\",\n \"0.5228946\",\n \"0.5224433\",\n \"0.52208996\",\n \"0.5215419\",\n \"0.51989144\",\n \"0.5198343\",\n \"0.5189329\",\n \"0.5186479\",\n \"0.5178088\",\n \"0.5176918\",\n \"0.5172719\",\n \"0.5168878\",\n \"0.5166154\",\n \"0.5162817\",\n \"0.5153519\",\n \"0.51463205\",\n \"0.5140943\",\n \"0.5138074\",\n \"0.5137342\",\n \"0.51215595\",\n \"0.51194406\",\n \"0.5113019\",\n \"0.51125693\",\n \"0.5110875\",\n \"0.51108074\",\n \"0.51069176\",\n \"0.51064795\",\n \"0.51049936\",\n \"0.5103027\",\n \"0.51029676\",\n \"0.50988734\",\n \"0.50987506\",\n \"0.50951934\",\n \"0.5091239\",\n \"0.5091105\",\n \"0.5090476\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.62419486"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":32587,"cells":{"query":{"kind":"string","value":"returns the bounding box for this entity"},"document":{"kind":"string","value":"public AxisAlignedBB getBoundingBox()\r\n {\r\n return null;\r\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public Rectangle getBoundingBox() {\n\t\treturn getBounds();\n\t}","@Override\n\tpublic Rectangle getBoundingBox() {\n\t\tRectangle rectangle = new Rectangle(this.image.getWidth(), this.image.getWidth());\n\t\trectangle.setLocation(this.position);\n\t\treturn rectangle;\n\t}","public Rectangle getBoundingBox() {\n return new Rectangle(this);\r\n }","public BoundingBox getBoundingBox ( ) {\n\t\t// TODO: backwards compatibility required\n\t\treturn invokeSafe ( \"getBoundingBox\" );\n\t}","public GeographicBoundingBox getBoundingBox()\r\n {\r\n return myBoundingBox;\r\n }","public static Box getBoundingBox(Entity entity)\n\t{\n\t\treturn (new REntity(entity)).getBox().getBox();\n\t}","public GJBox2D boundingBox() {\n\t\tdouble xmin = Double.MAX_VALUE;\n\t\tdouble ymin = Double.MAX_VALUE;\n\t\tdouble xmax = Double.MIN_VALUE;\n\t\tdouble ymax = Double.MIN_VALUE;\n\n\t\t// coordinates of current point\n\t\tdouble x, y;\n\t\t\n\t\t// Iterate on each control point of each segment\n\t\tfor (Segment seg : this.segments) {\n\t\t\tfor (GJPoint2D p : seg.controlPoints()) {\n\t\t\t\t// get current coordinates\n\t\t\t\tx = p.x();\n\t\t\t\ty = p.y();\n\t\t\t\t\n\t\t\t\t// update bounds\n\t\t\t\txmin = Math.min(xmin, x);\n\t\t\t\tymin = Math.min(ymin, y);\n\t\t\t\txmax = Math.max(xmax, x);\n\t\t\t\tymax = Math.max(ymax, y);\n\t\t\t}\n\t\t}\n\t\t\n\t\t// createFromCollection a new GJBox2D with the bounds\n\t\treturn new GJBox2D(xmin, xmax, ymin, ymax);\n\t}","@Override\n\tpublic BoundaryRectangle getBoundingBox() {\n\t\treturn new BoundaryRectangle(0, 0, drawView.getWidth(), drawView.getHeight());\n\t}","public Rectangle getBoundingBox() {\n return location;\n }","public LatLongRectangle getBoundingRectangle() {\n return boundingRectangle;\n }","Rectangle getBoundingBox(Rectangle rect);","public CCAABoundingRectangle boundingRect(){\n\t\treturn _myBoundingRectangle;\n\t}","public Rectangle getBounds() {\n\t\tRectangle Box = new Rectangle(x, y, 48, 48);\n\t\treturn Box;\n\t}","@Override\r\n\tpublic Rectangle getBound() {\n\t\treturn new Rectangle((int)x, (int)y, (int)width, (int)height);\r\n\t}","public Rect getBound() {\n return new Rect((int) (x - radius), (int) (y - radius), (int) (x + radius), (int) (y + radius));\n }","public Rectangle getBounds() {\n return new Rectangle(x, y, 32, 32);\n }","@Override\n \tpublic Rectangle2D GetBoundingBox() {\n\t\treturn null;\n \t}","public Rectangle getBounds() {\r\n return new Rectangle(x, y, 55, 51);\r\n }","@Override\n public STRegion getBoundingBox() {\n\n SQLiteDatabase db = this.getReadableDatabase();\n\n String query = \"SELECT minX FROM \" + this.table_identifier + \" ORDER BY minX ASC LIMIT 1;\";\n float minX = getRowValueHelper(db, query, 0);\n query = \"SELECT minY FROM \" + this.table_identifier + \" ORDER BY minY ASC Limit 1;\";\n float minY = getRowValueHelper(db, query, 0);\n query = \"SELECT minT FROM \" + this.table_identifier + \" ORDER BY minT ASC Limit 1;\";\n float minT = getRowValueHelper(db, query, 0);\n query = \"SELECT maxX FROM \" + this.table_identifier + \" ORDER BY maxX DESC Limit 1;\";\n float maxX = getRowValueHelper(db, query, 0);\n query = \"SELECT maxY FROM \" + this.table_identifier + \" ORDER BY maxY DESC Limit 1;\";\n float maxY = getRowValueHelper(db, query, 0);\n query = \"SELECT maxT FROM \" + this.table_identifier + \" ORDER BY maxT DESC Limit 1;\";\n float maxT = getRowValueHelper(db, query, 0);\n\n return new STRegion(new STPoint(minX, minY, minT), new STPoint(maxX, maxY, maxT));\n }","@Override\n\tpublic MyRectangle getMyBoundingBox() {\n\t\t\n\t\treturn this;\n\t}","public Rectangle getBounds() {\n\t\treturn new Rectangle((int) xPos, (int) yPos, (int) width, (int) height);\n\t}","public Rectangle getBounds() {\n\treturn new Rectangle((int)x,(int)y,32,32);\n\t}","public Rectangle getBound(){\n \tint x = (int)location.getX();\n \tint y = (int)location.getY();\n \t\n \tif(isExploded == false)\n \t\treturn new Rectangle(x, y, image.getWidth(null), image.getHeight(null));\n \telse\n \t\treturn new Rectangle(x,y, 1,1);\n }","public String getRectangleBounds() {\n checkAvailable();\n return impl.getRectangle();\n }","Rectangle getBounds() {\n return new Rectangle(getLocation(), getSize());\n }","public Shape getBgetBoundingBox() {\r\n\t\t\r\n\t\tEllipse2D elilipse = new Ellipse2D.Double(0, 0, imageWidth, imageHeight);\r\n\t\tAffineTransform at = new AffineTransform(); \r\n\t\tat.translate(locationX, locationY);\r\n\t\tat.rotate(Math.toRadians(angle*sizeAngles));\r\n\t\t at.scale(0.5, 0.5);\r\n\t\tat.translate(-imageWidth/2, -imageHeight/2);\r\n\t\t\r\n\t\tShape rotatedRect = at.createTransformedShape(elilipse);\r\n\t\treturn rotatedRect;\r\n\t}","public Rectangle getBounds()\n {\n return new Rectangle ((int)x,(int)y,32,32);\n }","public final BoundingBox getBounds() {\n\t\tif (bounds==null) {\n\t\t\tint srsID =( (Geometry)this.get(0).getDefaultGeometry()).getSRID();\n\t\t\tBoundingBox re = new BoundingBoxImpl(\"\"+srsID);\n\t\t\tfor (SimpleFeature f : this) {\n\t\t\t\tre.include(f.getBounds());\n\t\t\t}\n\t\t\tbounds = re;\n\t\t}\n\t\treturn bounds;\n\t}","public Rectangle getBounds()\r\n\t{\r\n\t\treturn new Rectangle(x, y, w, h);\r\n\t}","public java.awt.Rectangle getBounds(){\r\n return new java.awt.Rectangle((int)Math.round(x), (int)Math.round(y), (int)Math.round(getWidth()), (int)Math.round(getHeight()));\r\n }","public BoundingShape getBoundingShape() {\n\treturn boundingShape;\n }","@Override\n\tpublic Rectangle getBound() {\n\t\trectBound.setX(posX+20);\n\t\trectBound.setY(Y_LAND - image.getHeight() +10);\n\t\trectBound.setWidth(image.getWidth()-10);\n\t\trectBound.setHeight(image.getHeight());\n\t\treturn rectBound;\n\t}","public Rectangle get_bounds() {\n return new Rectangle(x,y, width-3, height-3);\n }","public double getBoundingBoxBottom() {\n return boundingBoxBottom;\n }","public Rectangle getBounds() {\n return new Rectangle(getMinX(), getMinY(), getWidth(), getHeight());\n }","public Rectangle getBounds() {\n\t\treturn new Rectangle(getX(),getY(),width, width);\n\t}","public Rectangle2D getBoundary() {\n return new Rectangle2D(x, y, width, height);\n }","public PRectangle getFontBBox() {\n Object value = library.getObject(entries, FONT_BBOX);\n if (value instanceof Vector) {\n Vector rectangle = (Vector) value;\n return new PRectangle(rectangle);\n }\n return null;\n }","@NonNull\n public Rect getBounds() {\n return new Rect(mBounds);\n }","Rectangle getBounds();","public double getBoundingBoxLeft() {\n return boundingBoxLeft;\n }","public Rectangle getBounds() {\r\n return bounds;\r\n }","public Rectangle bounds()\n\t{\n\t\treturn (new Rectangle(x, y, 10, 10));\n\t}","public Rectangle getBounds(){\r\n return new Rectangle(x, y, w, w);\r\n }","@Override\n public Rectangle getBounds() {\n return new Rectangle(x,y,64,64);\n }","public Rectangle getBounds() {\n return new Rectangle((int) getX() - 20, (int) getY() - 20, 40, 40);\n }","public Rectangle getBounds() {\n return new Rectangle(x, y, DIAMETER, DIAMETER); // returns a rectangle with its dimensions\r\n }","Rectangle getCollisionBox();","public RectF getBounds()\n {\n return bounds;\n }","protected Rectangle determineBounds() {\n return getNetTransform().createTransformedShape( _bounds ).getBounds();\n }","public Rect getBBox() throws PDFNetException {\n/* 857 */ return new Rect(GetBBox(this.a));\n/* */ }","public Rectangle getBounds();","public Rectangle getBounds();","public Rectangle getHitBox()\n\t{\n\t\treturn new Rectangle(x, y, width, height);\n\t}","public double getBoundingBoxTop() {\n return boundingBoxTop;\n }","@Override\n\tpublic GRectangle getBounds() {\n\t\tif (isEmpty()) {\n\t\t\treturn new GRectangle();\n\t\t} else {\n\t\t\tGPoint p0 = points.get(0);\n\t\t\tdouble minX = p0.getX();\n\t\t\tdouble maxX = minX;\n\t\t\tdouble minY = p0.getY();\n\t\t\tdouble maxY = minY;\n\t\t\tfor (int i = 1; i < size(); i++) {\n\t\t\t\tGPoint p1 = points.get(i);\n\t\t\t\tminX = Math.min(minX, p1.getX());\n\t\t\t\tmaxX = Math.max(maxX, p1.getX());\n\t\t\t\tminY = Math.min(minY, p1.getY());\n\t\t\t\tmaxY = Math.max(maxY, p1.getY());\n\t\t\t}\n\t\t\treturn new GRectangle(minX, maxX, minY, maxY);\n\t\t}\n\t}","@Override\n\tpublic Rect getHitbox() \n\t{\n\t\treturn _bounds;\n\t}","public Rectangle getBounds() {\n\t\tif (img == null)\n\t\t\treturn new Rectangle();\n\t\treturn new Rectangle(new Dimension(img.getWidth(), img.getHeight()));\n\t}","public ReferencedEnvelope getBounds(){\n if(bounds==null){\n // Create Null envelope\n this.bounds = new ReferencedEnvelope(getCRS());\n // First try to find the BBOX definition in the gisNode directly\n try{\n if(gisNode.hasProperty(INeoConstants.PROPERTY_BBOX_NAME)){\n double[] bbox = (double[])gisNode.getProperty(INeoConstants.PROPERTY_BBOX_NAME);\n this.bounds = new ReferencedEnvelope(bbox[0],bbox[1],bbox[2],bbox[3],crs);\n }else{\n System.err.println(\"No BBox defined in the GeoNeo object\");\n }\n }catch(Exception bbox_e){\n System.err.println(\"Failed to interpret BBOX: \"+bbox_e.getMessage());\n bbox_e.printStackTrace(System.err);\n }\n // Secondly, if bounds is still empty, try find all feature geometries and calculate bounds\n try{\n if(this.bounds.isNull()){\n // Try to create envelope from any data referenced by the gisNode\n for(GeoNode node:getGeoNodes()){\n //TODO: support high dimensions\n this.bounds.expandToInclude(node.getCoords()[0], node.getCoords()[1]);\n }\n }\n }catch(Exception bbox_e){\n System.err.println(\"Failed to interpret BBOX: \"+bbox_e.getMessage());\n bbox_e.printStackTrace(System.err);\n }\n }\n return bounds;\n }","public ERectangle getPrimitiveBounds() {\n ERectangle primitiveBounds = this.primitiveBounds;\n if (primitiveBounds != null) return primitiveBounds;\n return this.primitiveBounds = computePrimitiveBounds();\n }","public sRectangle getSRectangleBound()\n {\n return form.getSRectangleBound();\n }","public RMRect getBounds() { return new RMRect(getX(), getY(), getWidth(), getHeight()); }","public Rectangle2D.Double getCollisionBox() {\n\t\treturn this.collisionBox;\n\t}","public Rectangle getCollisionRectangle() {\r\n return new Rectangle(this.rectangle.getUpperLeft(), this.rectangle.getWidth(), this.rectangle.getHeight());\r\n }","public Rectangle getBounds() {\r\n\t\treturn new Rectangle((int) (x * scalingX), (int) (y * scalingY), (int) rocketWidth, (int) rocketHeight);\r\n\t}","public RMRect getBoundsInside() { return new RMRect(0, 0, getWidth(), getHeight()); }","public Rectangle2D getBoundary()\n {\n \tRectangle2D shape = new Rectangle2D.Float();\n shape.setFrame(location.getX(),location.getY(),12,length);\n return shape;\n }","public Rectangle getBounds() {\n\t\t\treturn new Rectangle(x_pos, y_pos, getIconWidth(), getIconHeight());\n\t\t}","@Override\n public Rectangle getBounds() {\n return new Rectangle(this.bounds);\n }","public double getBoundingBoxRight() {\n return boundingBoxRight;\n }","public Rectangle getBounds() {\n return super.getBounds();\n }","public BoundingBox()\n\t{\n\t\tcenter = new Vector2(0.0, 0.0);\n\t\twidth = 1.0;\n\t\theight = 1.0;\n\t}","@Override\n\tpublic AxisAlignedBB getBoundingBox(IBlockState state, IBlockAccess source, BlockPos pos) \n\t{\n\t\treturn BOUNDING_BOX;\n\t}","public Rectangle getBoundsBigger() {\n return new Rectangle(x-32,y-32,128,128);\n }","public Rectangle getMinimalBoundingBox() {\n double xMin = Double.MAX_VALUE;\n double yMin = Double.MAX_VALUE;\n double xMax = -Double.MAX_VALUE;\n double yMax = -Double.MAX_VALUE;\n // look for minimal and maximal x and y\n for (VoronoiHalfEdge halfEdge : halfEdges) {\n Vector2D startPoint = halfEdge.getStartPoint();\n double currentX = startPoint.getX();\n double currentY = startPoint.getY();\n if (currentX < xMin) {\n xMin = currentX;\n }\n if (currentY < yMin) {\n yMin = currentY;\n }\n if (currentX > xMax) {\n xMax = currentX;\n }\n if (currentY > yMax) {\n yMax = currentY;\n }\n }\n return new Rectangle(new Vector2D(xMin, yMax - yMin), new Vector2D(xMax - xMin, yMin));\n }","public void computeBoundingBox() {\n\taveragePosition = new Point3(center);\n tMat.rightMultiply(averagePosition);\n \n minBound = new Point3(Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY);\n maxBound = new Point3(Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY);\n // Initialize\n Point3[] v = new Point3[8];\n for (int i = 0; i < 8; i++)\n \tv[i] = new Point3(center);\n // Vertices of the box\n v[0].add(new Vector3(-radius, -radius, -height/2.0));\n v[1].add(new Vector3(-radius, radius, -height/2.0));\n v[2].add(new Vector3(radius, -radius, -height/2.0));\n v[3].add(new Vector3(radius, radius, -height/2.0));\n v[4].add(new Vector3(-radius, -radius, height/2.0));\n v[5].add(new Vector3(-radius, radius, height/2.0));\n v[6].add(new Vector3(radius, -radius, height/2.0));\n v[7].add(new Vector3(radius, radius, height/2.0));\n // Update minBound and maxBound\n for (int i = 0; i < 8; i++)\n {\n \ttMat.rightMultiply(v[i]);\n \tif (v[i].x < minBound.x)\n \t\tminBound.x = v[i].x;\n \tif (v[i].x > maxBound.x)\n \t\tmaxBound.x = v[i].x;\n \tif (v[i].y < minBound.y)\n \t\tminBound.y = v[i].y;\n \tif (v[i].y > maxBound.y)\n \t\tmaxBound.y = v[i].y;\n \tif (v[i].z < minBound.z)\n \t\tminBound.z = v[i].z;\n \tif (v[i].z > maxBound.z)\n \t\tmaxBound.z = v[i].z;\n }\n \n }","public Rectangle2D getBounds() {\n\t\tif (_child == null) {\n\t\t\treturn new Rectangle2D.Double();\n\t\t} else {\n\t\t\treturn _child.getBounds();\n\t\t}\n\t}","RectangleLatLng getBounds();","public abstract Rectangle getBounds();","public abstract Rectangle getBounds();","public abstract Rectangle getBounds();","public Rect getHitbox() {\n return hitbox;\n }","public Bounds getBounds () { return (bounds); }","public Rectangle getBounds () {\r\n\tcheckWidget();\r\n\tPhArea_t area = new PhArea_t ();\r\n\tOS.PtWidgetArea (handle, area);\r\n\treturn new Rectangle (area.pos_x, area.pos_y, area.size_w, area.size_h);\r\n}","public Bounds getBounds() {\n\t\treturn boss.getBoundsInParent();\n\t}","public Rectangle getCollisionRectangle() {\n return this.rectangle;\n }","public Rectangle2D getBox(\n )\n {return box;}","public Rectangle getBounds() {\n return null;\n }","public RMRect bounds() { return new RMRect(x(), y(), width(), height()); }","public Rectangle getBounds() {\n\t\tif (bounds == null) {\n\t\t\tsuper.getBounds();\n\t\t\tfor (int i = 0; i < getChildren().size(); i++) {\n\t\t\t\tIFigure child = (IFigure) getChildren().get(i);\n\t\t\t\tbounds.union(child.getBounds());\n\t\t\t}\n\t\t}\n\t\treturn bounds;\n\t}","public float[] getBounds() {\r\n\t\tfloat[] bounds = {x_ - width_/ 2, x_ + width_ / 2, y_ - height_ / 2, y_ + height_ / 2};\r\n\t\treturn bounds;\r\n\t}","protected double[] calculateDataBoundingBox() {\n \t\tdouble min_x = Double.MAX_VALUE;\n \t\tdouble min_y = Double.MAX_VALUE;\n \t\tdouble max_x = 0.0D;\n \t\tdouble max_y = 0.0D;\n \t\t// check the points\n \t\tfor (int i=0; i<n_points; i++) {\n \t\t\tif (p[0][i] < min_x) min_x = p[0][i];\n \t\t\tif (p[1][i] < min_y) min_y = p[1][i];\n \t\t\tif (p[0][i] > max_x) max_x = p[0][i];\n \t\t\tif (p[1][i] > max_y) max_y = p[1][i];\n \t\t}\n \t\treturn new double[]{min_x, min_y, max_x, max_y};\n \t}","@Override\n\tpublic float getBoundingRadius() {\n\t\treturn boundingradius;\n\t}","public MWC.GenericData.WorldArea getBounds()\r\n\t{\n\t\treturn null;\r\n\t}","Rectangle getCollisionRectangle();","Rectangle getCollisionRectangle();","public Box getBox() {\n\t//we compute the coordinates of the top left square \n\t//of the box by integer division\n\treturn new Box((rowIndex/3)*3, (colIndex/3)*3); \n }","public Bounds getLogicalBounds() {\n return getDragContext().getLogicalBounds();\n }","public final Rectangle getBounds() {\n return label.getBounds();\n }","public boolean\ngetShowBoundingBox()\n{\n\treturn (this.showBoundingBox);\n}"],"string":"[\n \"public Rectangle getBoundingBox() {\\n\\t\\treturn getBounds();\\n\\t}\",\n \"@Override\\n\\tpublic Rectangle getBoundingBox() {\\n\\t\\tRectangle rectangle = new Rectangle(this.image.getWidth(), this.image.getWidth());\\n\\t\\trectangle.setLocation(this.position);\\n\\t\\treturn rectangle;\\n\\t}\",\n \"public Rectangle getBoundingBox() {\\n return new Rectangle(this);\\r\\n }\",\n \"public BoundingBox getBoundingBox ( ) {\\n\\t\\t// TODO: backwards compatibility required\\n\\t\\treturn invokeSafe ( \\\"getBoundingBox\\\" );\\n\\t}\",\n \"public GeographicBoundingBox getBoundingBox()\\r\\n {\\r\\n return myBoundingBox;\\r\\n }\",\n \"public static Box getBoundingBox(Entity entity)\\n\\t{\\n\\t\\treturn (new REntity(entity)).getBox().getBox();\\n\\t}\",\n \"public GJBox2D boundingBox() {\\n\\t\\tdouble xmin = Double.MAX_VALUE;\\n\\t\\tdouble ymin = Double.MAX_VALUE;\\n\\t\\tdouble xmax = Double.MIN_VALUE;\\n\\t\\tdouble ymax = Double.MIN_VALUE;\\n\\n\\t\\t// coordinates of current point\\n\\t\\tdouble x, y;\\n\\t\\t\\n\\t\\t// Iterate on each control point of each segment\\n\\t\\tfor (Segment seg : this.segments) {\\n\\t\\t\\tfor (GJPoint2D p : seg.controlPoints()) {\\n\\t\\t\\t\\t// get current coordinates\\n\\t\\t\\t\\tx = p.x();\\n\\t\\t\\t\\ty = p.y();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// update bounds\\n\\t\\t\\t\\txmin = Math.min(xmin, x);\\n\\t\\t\\t\\tymin = Math.min(ymin, y);\\n\\t\\t\\t\\txmax = Math.max(xmax, x);\\n\\t\\t\\t\\tymax = Math.max(ymax, y);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t// createFromCollection a new GJBox2D with the bounds\\n\\t\\treturn new GJBox2D(xmin, xmax, ymin, ymax);\\n\\t}\",\n \"@Override\\n\\tpublic BoundaryRectangle getBoundingBox() {\\n\\t\\treturn new BoundaryRectangle(0, 0, drawView.getWidth(), drawView.getHeight());\\n\\t}\",\n \"public Rectangle getBoundingBox() {\\n return location;\\n }\",\n \"public LatLongRectangle getBoundingRectangle() {\\n return boundingRectangle;\\n }\",\n \"Rectangle getBoundingBox(Rectangle rect);\",\n \"public CCAABoundingRectangle boundingRect(){\\n\\t\\treturn _myBoundingRectangle;\\n\\t}\",\n \"public Rectangle getBounds() {\\n\\t\\tRectangle Box = new Rectangle(x, y, 48, 48);\\n\\t\\treturn Box;\\n\\t}\",\n \"@Override\\r\\n\\tpublic Rectangle getBound() {\\n\\t\\treturn new Rectangle((int)x, (int)y, (int)width, (int)height);\\r\\n\\t}\",\n \"public Rect getBound() {\\n return new Rect((int) (x - radius), (int) (y - radius), (int) (x + radius), (int) (y + radius));\\n }\",\n \"public Rectangle getBounds() {\\n return new Rectangle(x, y, 32, 32);\\n }\",\n \"@Override\\n \\tpublic Rectangle2D GetBoundingBox() {\\n\\t\\treturn null;\\n \\t}\",\n \"public Rectangle getBounds() {\\r\\n return new Rectangle(x, y, 55, 51);\\r\\n }\",\n \"@Override\\n public STRegion getBoundingBox() {\\n\\n SQLiteDatabase db = this.getReadableDatabase();\\n\\n String query = \\\"SELECT minX FROM \\\" + this.table_identifier + \\\" ORDER BY minX ASC LIMIT 1;\\\";\\n float minX = getRowValueHelper(db, query, 0);\\n query = \\\"SELECT minY FROM \\\" + this.table_identifier + \\\" ORDER BY minY ASC Limit 1;\\\";\\n float minY = getRowValueHelper(db, query, 0);\\n query = \\\"SELECT minT FROM \\\" + this.table_identifier + \\\" ORDER BY minT ASC Limit 1;\\\";\\n float minT = getRowValueHelper(db, query, 0);\\n query = \\\"SELECT maxX FROM \\\" + this.table_identifier + \\\" ORDER BY maxX DESC Limit 1;\\\";\\n float maxX = getRowValueHelper(db, query, 0);\\n query = \\\"SELECT maxY FROM \\\" + this.table_identifier + \\\" ORDER BY maxY DESC Limit 1;\\\";\\n float maxY = getRowValueHelper(db, query, 0);\\n query = \\\"SELECT maxT FROM \\\" + this.table_identifier + \\\" ORDER BY maxT DESC Limit 1;\\\";\\n float maxT = getRowValueHelper(db, query, 0);\\n\\n return new STRegion(new STPoint(minX, minY, minT), new STPoint(maxX, maxY, maxT));\\n }\",\n \"@Override\\n\\tpublic MyRectangle getMyBoundingBox() {\\n\\t\\t\\n\\t\\treturn this;\\n\\t}\",\n \"public Rectangle getBounds() {\\n\\t\\treturn new Rectangle((int) xPos, (int) yPos, (int) width, (int) height);\\n\\t}\",\n \"public Rectangle getBounds() {\\n\\treturn new Rectangle((int)x,(int)y,32,32);\\n\\t}\",\n \"public Rectangle getBound(){\\n \\tint x = (int)location.getX();\\n \\tint y = (int)location.getY();\\n \\t\\n \\tif(isExploded == false)\\n \\t\\treturn new Rectangle(x, y, image.getWidth(null), image.getHeight(null));\\n \\telse\\n \\t\\treturn new Rectangle(x,y, 1,1);\\n }\",\n \"public String getRectangleBounds() {\\n checkAvailable();\\n return impl.getRectangle();\\n }\",\n \"Rectangle getBounds() {\\n return new Rectangle(getLocation(), getSize());\\n }\",\n \"public Shape getBgetBoundingBox() {\\r\\n\\t\\t\\r\\n\\t\\tEllipse2D elilipse = new Ellipse2D.Double(0, 0, imageWidth, imageHeight);\\r\\n\\t\\tAffineTransform at = new AffineTransform(); \\r\\n\\t\\tat.translate(locationX, locationY);\\r\\n\\t\\tat.rotate(Math.toRadians(angle*sizeAngles));\\r\\n\\t\\t at.scale(0.5, 0.5);\\r\\n\\t\\tat.translate(-imageWidth/2, -imageHeight/2);\\r\\n\\t\\t\\r\\n\\t\\tShape rotatedRect = at.createTransformedShape(elilipse);\\r\\n\\t\\treturn rotatedRect;\\r\\n\\t}\",\n \"public Rectangle getBounds()\\n {\\n return new Rectangle ((int)x,(int)y,32,32);\\n }\",\n \"public final BoundingBox getBounds() {\\n\\t\\tif (bounds==null) {\\n\\t\\t\\tint srsID =( (Geometry)this.get(0).getDefaultGeometry()).getSRID();\\n\\t\\t\\tBoundingBox re = new BoundingBoxImpl(\\\"\\\"+srsID);\\n\\t\\t\\tfor (SimpleFeature f : this) {\\n\\t\\t\\t\\tre.include(f.getBounds());\\n\\t\\t\\t}\\n\\t\\t\\tbounds = re;\\n\\t\\t}\\n\\t\\treturn bounds;\\n\\t}\",\n \"public Rectangle getBounds()\\r\\n\\t{\\r\\n\\t\\treturn new Rectangle(x, y, w, h);\\r\\n\\t}\",\n \"public java.awt.Rectangle getBounds(){\\r\\n return new java.awt.Rectangle((int)Math.round(x), (int)Math.round(y), (int)Math.round(getWidth()), (int)Math.round(getHeight()));\\r\\n }\",\n \"public BoundingShape getBoundingShape() {\\n\\treturn boundingShape;\\n }\",\n \"@Override\\n\\tpublic Rectangle getBound() {\\n\\t\\trectBound.setX(posX+20);\\n\\t\\trectBound.setY(Y_LAND - image.getHeight() +10);\\n\\t\\trectBound.setWidth(image.getWidth()-10);\\n\\t\\trectBound.setHeight(image.getHeight());\\n\\t\\treturn rectBound;\\n\\t}\",\n \"public Rectangle get_bounds() {\\n return new Rectangle(x,y, width-3, height-3);\\n }\",\n \"public double getBoundingBoxBottom() {\\n return boundingBoxBottom;\\n }\",\n \"public Rectangle getBounds() {\\n return new Rectangle(getMinX(), getMinY(), getWidth(), getHeight());\\n }\",\n \"public Rectangle getBounds() {\\n\\t\\treturn new Rectangle(getX(),getY(),width, width);\\n\\t}\",\n \"public Rectangle2D getBoundary() {\\n return new Rectangle2D(x, y, width, height);\\n }\",\n \"public PRectangle getFontBBox() {\\n Object value = library.getObject(entries, FONT_BBOX);\\n if (value instanceof Vector) {\\n Vector rectangle = (Vector) value;\\n return new PRectangle(rectangle);\\n }\\n return null;\\n }\",\n \"@NonNull\\n public Rect getBounds() {\\n return new Rect(mBounds);\\n }\",\n \"Rectangle getBounds();\",\n \"public double getBoundingBoxLeft() {\\n return boundingBoxLeft;\\n }\",\n \"public Rectangle getBounds() {\\r\\n return bounds;\\r\\n }\",\n \"public Rectangle bounds()\\n\\t{\\n\\t\\treturn (new Rectangle(x, y, 10, 10));\\n\\t}\",\n \"public Rectangle getBounds(){\\r\\n return new Rectangle(x, y, w, w);\\r\\n }\",\n \"@Override\\n public Rectangle getBounds() {\\n return new Rectangle(x,y,64,64);\\n }\",\n \"public Rectangle getBounds() {\\n return new Rectangle((int) getX() - 20, (int) getY() - 20, 40, 40);\\n }\",\n \"public Rectangle getBounds() {\\n return new Rectangle(x, y, DIAMETER, DIAMETER); // returns a rectangle with its dimensions\\r\\n }\",\n \"Rectangle getCollisionBox();\",\n \"public RectF getBounds()\\n {\\n return bounds;\\n }\",\n \"protected Rectangle determineBounds() {\\n return getNetTransform().createTransformedShape( _bounds ).getBounds();\\n }\",\n \"public Rect getBBox() throws PDFNetException {\\n/* 857 */ return new Rect(GetBBox(this.a));\\n/* */ }\",\n \"public Rectangle getBounds();\",\n \"public Rectangle getBounds();\",\n \"public Rectangle getHitBox()\\n\\t{\\n\\t\\treturn new Rectangle(x, y, width, height);\\n\\t}\",\n \"public double getBoundingBoxTop() {\\n return boundingBoxTop;\\n }\",\n \"@Override\\n\\tpublic GRectangle getBounds() {\\n\\t\\tif (isEmpty()) {\\n\\t\\t\\treturn new GRectangle();\\n\\t\\t} else {\\n\\t\\t\\tGPoint p0 = points.get(0);\\n\\t\\t\\tdouble minX = p0.getX();\\n\\t\\t\\tdouble maxX = minX;\\n\\t\\t\\tdouble minY = p0.getY();\\n\\t\\t\\tdouble maxY = minY;\\n\\t\\t\\tfor (int i = 1; i < size(); i++) {\\n\\t\\t\\t\\tGPoint p1 = points.get(i);\\n\\t\\t\\t\\tminX = Math.min(minX, p1.getX());\\n\\t\\t\\t\\tmaxX = Math.max(maxX, p1.getX());\\n\\t\\t\\t\\tminY = Math.min(minY, p1.getY());\\n\\t\\t\\t\\tmaxY = Math.max(maxY, p1.getY());\\n\\t\\t\\t}\\n\\t\\t\\treturn new GRectangle(minX, maxX, minY, maxY);\\n\\t\\t}\\n\\t}\",\n \"@Override\\n\\tpublic Rect getHitbox() \\n\\t{\\n\\t\\treturn _bounds;\\n\\t}\",\n \"public Rectangle getBounds() {\\n\\t\\tif (img == null)\\n\\t\\t\\treturn new Rectangle();\\n\\t\\treturn new Rectangle(new Dimension(img.getWidth(), img.getHeight()));\\n\\t}\",\n \"public ReferencedEnvelope getBounds(){\\n if(bounds==null){\\n // Create Null envelope\\n this.bounds = new ReferencedEnvelope(getCRS());\\n // First try to find the BBOX definition in the gisNode directly\\n try{\\n if(gisNode.hasProperty(INeoConstants.PROPERTY_BBOX_NAME)){\\n double[] bbox = (double[])gisNode.getProperty(INeoConstants.PROPERTY_BBOX_NAME);\\n this.bounds = new ReferencedEnvelope(bbox[0],bbox[1],bbox[2],bbox[3],crs);\\n }else{\\n System.err.println(\\\"No BBox defined in the GeoNeo object\\\");\\n }\\n }catch(Exception bbox_e){\\n System.err.println(\\\"Failed to interpret BBOX: \\\"+bbox_e.getMessage());\\n bbox_e.printStackTrace(System.err);\\n }\\n // Secondly, if bounds is still empty, try find all feature geometries and calculate bounds\\n try{\\n if(this.bounds.isNull()){\\n // Try to create envelope from any data referenced by the gisNode\\n for(GeoNode node:getGeoNodes()){\\n //TODO: support high dimensions\\n this.bounds.expandToInclude(node.getCoords()[0], node.getCoords()[1]);\\n }\\n }\\n }catch(Exception bbox_e){\\n System.err.println(\\\"Failed to interpret BBOX: \\\"+bbox_e.getMessage());\\n bbox_e.printStackTrace(System.err);\\n }\\n }\\n return bounds;\\n }\",\n \"public ERectangle getPrimitiveBounds() {\\n ERectangle primitiveBounds = this.primitiveBounds;\\n if (primitiveBounds != null) return primitiveBounds;\\n return this.primitiveBounds = computePrimitiveBounds();\\n }\",\n \"public sRectangle getSRectangleBound()\\n {\\n return form.getSRectangleBound();\\n }\",\n \"public RMRect getBounds() { return new RMRect(getX(), getY(), getWidth(), getHeight()); }\",\n \"public Rectangle2D.Double getCollisionBox() {\\n\\t\\treturn this.collisionBox;\\n\\t}\",\n \"public Rectangle getCollisionRectangle() {\\r\\n return new Rectangle(this.rectangle.getUpperLeft(), this.rectangle.getWidth(), this.rectangle.getHeight());\\r\\n }\",\n \"public Rectangle getBounds() {\\r\\n\\t\\treturn new Rectangle((int) (x * scalingX), (int) (y * scalingY), (int) rocketWidth, (int) rocketHeight);\\r\\n\\t}\",\n \"public RMRect getBoundsInside() { return new RMRect(0, 0, getWidth(), getHeight()); }\",\n \"public Rectangle2D getBoundary()\\n {\\n \\tRectangle2D shape = new Rectangle2D.Float();\\n shape.setFrame(location.getX(),location.getY(),12,length);\\n return shape;\\n }\",\n \"public Rectangle getBounds() {\\n\\t\\t\\treturn new Rectangle(x_pos, y_pos, getIconWidth(), getIconHeight());\\n\\t\\t}\",\n \"@Override\\n public Rectangle getBounds() {\\n return new Rectangle(this.bounds);\\n }\",\n \"public double getBoundingBoxRight() {\\n return boundingBoxRight;\\n }\",\n \"public Rectangle getBounds() {\\n return super.getBounds();\\n }\",\n \"public BoundingBox()\\n\\t{\\n\\t\\tcenter = new Vector2(0.0, 0.0);\\n\\t\\twidth = 1.0;\\n\\t\\theight = 1.0;\\n\\t}\",\n \"@Override\\n\\tpublic AxisAlignedBB getBoundingBox(IBlockState state, IBlockAccess source, BlockPos pos) \\n\\t{\\n\\t\\treturn BOUNDING_BOX;\\n\\t}\",\n \"public Rectangle getBoundsBigger() {\\n return new Rectangle(x-32,y-32,128,128);\\n }\",\n \"public Rectangle getMinimalBoundingBox() {\\n double xMin = Double.MAX_VALUE;\\n double yMin = Double.MAX_VALUE;\\n double xMax = -Double.MAX_VALUE;\\n double yMax = -Double.MAX_VALUE;\\n // look for minimal and maximal x and y\\n for (VoronoiHalfEdge halfEdge : halfEdges) {\\n Vector2D startPoint = halfEdge.getStartPoint();\\n double currentX = startPoint.getX();\\n double currentY = startPoint.getY();\\n if (currentX < xMin) {\\n xMin = currentX;\\n }\\n if (currentY < yMin) {\\n yMin = currentY;\\n }\\n if (currentX > xMax) {\\n xMax = currentX;\\n }\\n if (currentY > yMax) {\\n yMax = currentY;\\n }\\n }\\n return new Rectangle(new Vector2D(xMin, yMax - yMin), new Vector2D(xMax - xMin, yMin));\\n }\",\n \"public void computeBoundingBox() {\\n\\taveragePosition = new Point3(center);\\n tMat.rightMultiply(averagePosition);\\n \\n minBound = new Point3(Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY);\\n maxBound = new Point3(Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY);\\n // Initialize\\n Point3[] v = new Point3[8];\\n for (int i = 0; i < 8; i++)\\n \\tv[i] = new Point3(center);\\n // Vertices of the box\\n v[0].add(new Vector3(-radius, -radius, -height/2.0));\\n v[1].add(new Vector3(-radius, radius, -height/2.0));\\n v[2].add(new Vector3(radius, -radius, -height/2.0));\\n v[3].add(new Vector3(radius, radius, -height/2.0));\\n v[4].add(new Vector3(-radius, -radius, height/2.0));\\n v[5].add(new Vector3(-radius, radius, height/2.0));\\n v[6].add(new Vector3(radius, -radius, height/2.0));\\n v[7].add(new Vector3(radius, radius, height/2.0));\\n // Update minBound and maxBound\\n for (int i = 0; i < 8; i++)\\n {\\n \\ttMat.rightMultiply(v[i]);\\n \\tif (v[i].x < minBound.x)\\n \\t\\tminBound.x = v[i].x;\\n \\tif (v[i].x > maxBound.x)\\n \\t\\tmaxBound.x = v[i].x;\\n \\tif (v[i].y < minBound.y)\\n \\t\\tminBound.y = v[i].y;\\n \\tif (v[i].y > maxBound.y)\\n \\t\\tmaxBound.y = v[i].y;\\n \\tif (v[i].z < minBound.z)\\n \\t\\tminBound.z = v[i].z;\\n \\tif (v[i].z > maxBound.z)\\n \\t\\tmaxBound.z = v[i].z;\\n }\\n \\n }\",\n \"public Rectangle2D getBounds() {\\n\\t\\tif (_child == null) {\\n\\t\\t\\treturn new Rectangle2D.Double();\\n\\t\\t} else {\\n\\t\\t\\treturn _child.getBounds();\\n\\t\\t}\\n\\t}\",\n \"RectangleLatLng getBounds();\",\n \"public abstract Rectangle getBounds();\",\n \"public abstract Rectangle getBounds();\",\n \"public abstract Rectangle getBounds();\",\n \"public Rect getHitbox() {\\n return hitbox;\\n }\",\n \"public Bounds getBounds () { return (bounds); }\",\n \"public Rectangle getBounds () {\\r\\n\\tcheckWidget();\\r\\n\\tPhArea_t area = new PhArea_t ();\\r\\n\\tOS.PtWidgetArea (handle, area);\\r\\n\\treturn new Rectangle (area.pos_x, area.pos_y, area.size_w, area.size_h);\\r\\n}\",\n \"public Bounds getBounds() {\\n\\t\\treturn boss.getBoundsInParent();\\n\\t}\",\n \"public Rectangle getCollisionRectangle() {\\n return this.rectangle;\\n }\",\n \"public Rectangle2D getBox(\\n )\\n {return box;}\",\n \"public Rectangle getBounds() {\\n return null;\\n }\",\n \"public RMRect bounds() { return new RMRect(x(), y(), width(), height()); }\",\n \"public Rectangle getBounds() {\\n\\t\\tif (bounds == null) {\\n\\t\\t\\tsuper.getBounds();\\n\\t\\t\\tfor (int i = 0; i < getChildren().size(); i++) {\\n\\t\\t\\t\\tIFigure child = (IFigure) getChildren().get(i);\\n\\t\\t\\t\\tbounds.union(child.getBounds());\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn bounds;\\n\\t}\",\n \"public float[] getBounds() {\\r\\n\\t\\tfloat[] bounds = {x_ - width_/ 2, x_ + width_ / 2, y_ - height_ / 2, y_ + height_ / 2};\\r\\n\\t\\treturn bounds;\\r\\n\\t}\",\n \"protected double[] calculateDataBoundingBox() {\\n \\t\\tdouble min_x = Double.MAX_VALUE;\\n \\t\\tdouble min_y = Double.MAX_VALUE;\\n \\t\\tdouble max_x = 0.0D;\\n \\t\\tdouble max_y = 0.0D;\\n \\t\\t// check the points\\n \\t\\tfor (int i=0; i<n_points; i++) {\\n \\t\\t\\tif (p[0][i] < min_x) min_x = p[0][i];\\n \\t\\t\\tif (p[1][i] < min_y) min_y = p[1][i];\\n \\t\\t\\tif (p[0][i] > max_x) max_x = p[0][i];\\n \\t\\t\\tif (p[1][i] > max_y) max_y = p[1][i];\\n \\t\\t}\\n \\t\\treturn new double[]{min_x, min_y, max_x, max_y};\\n \\t}\",\n \"@Override\\n\\tpublic float getBoundingRadius() {\\n\\t\\treturn boundingradius;\\n\\t}\",\n \"public MWC.GenericData.WorldArea getBounds()\\r\\n\\t{\\n\\t\\treturn null;\\r\\n\\t}\",\n \"Rectangle getCollisionRectangle();\",\n \"Rectangle getCollisionRectangle();\",\n \"public Box getBox() {\\n\\t//we compute the coordinates of the top left square \\n\\t//of the box by integer division\\n\\treturn new Box((rowIndex/3)*3, (colIndex/3)*3); \\n }\",\n \"public Bounds getLogicalBounds() {\\n return getDragContext().getLogicalBounds();\\n }\",\n \"public final Rectangle getBounds() {\\n return label.getBounds();\\n }\",\n \"public boolean\\ngetShowBoundingBox()\\n{\\n\\treturn (this.showBoundingBox);\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.81245303","0.79324114","0.78259903","0.76834905","0.7595736","0.7527924","0.7525918","0.75229716","0.7512145","0.74959344","0.7484371","0.73014295","0.7229195","0.71547824","0.71248174","0.71157163","0.7030013","0.7007851","0.6991495","0.69751906","0.696266","0.6939482","0.69089645","0.69068956","0.6894332","0.68831575","0.6881306","0.6869281","0.68406814","0.682883","0.679665","0.6786312","0.6781086","0.6764204","0.67640036","0.6732584","0.6728949","0.6714663","0.67106074","0.67045724","0.66987544","0.66826344","0.66771847","0.6668204","0.6656763","0.66470546","0.6630118","0.6612917","0.6610746","0.66090816","0.65819716","0.6537365","0.6537365","0.6533622","0.6532323","0.6518971","0.6511192","0.65093863","0.65055597","0.6494206","0.64799565","0.64680165","0.6453238","0.6451865","0.64361054","0.64266616","0.6411509","0.6403398","0.6377807","0.63776517","0.63758224","0.6319157","0.6304823","0.6299679","0.62847203","0.6275776","0.62736386","0.6247512","0.623957","0.623957","0.623957","0.6236724","0.62338394","0.6222396","0.6220645","0.6209596","0.61950773","0.6176984","0.617695","0.6175913","0.61415213","0.6133332","0.61139697","0.6108304","0.6104162","0.6104162","0.60953516","0.6091162","0.6076967","0.60741866"],"string":"[\n \"0.81245303\",\n \"0.79324114\",\n \"0.78259903\",\n \"0.76834905\",\n \"0.7595736\",\n \"0.7527924\",\n \"0.7525918\",\n \"0.75229716\",\n \"0.7512145\",\n \"0.74959344\",\n \"0.7484371\",\n \"0.73014295\",\n \"0.7229195\",\n \"0.71547824\",\n \"0.71248174\",\n \"0.71157163\",\n \"0.7030013\",\n \"0.7007851\",\n \"0.6991495\",\n \"0.69751906\",\n \"0.696266\",\n \"0.6939482\",\n \"0.69089645\",\n \"0.69068956\",\n \"0.6894332\",\n \"0.68831575\",\n \"0.6881306\",\n \"0.6869281\",\n \"0.68406814\",\n \"0.682883\",\n \"0.679665\",\n \"0.6786312\",\n \"0.6781086\",\n \"0.6764204\",\n \"0.67640036\",\n \"0.6732584\",\n \"0.6728949\",\n \"0.6714663\",\n \"0.67106074\",\n \"0.67045724\",\n \"0.66987544\",\n \"0.66826344\",\n \"0.66771847\",\n \"0.6668204\",\n \"0.6656763\",\n \"0.66470546\",\n \"0.6630118\",\n \"0.6612917\",\n \"0.6610746\",\n \"0.66090816\",\n \"0.65819716\",\n \"0.6537365\",\n \"0.6537365\",\n \"0.6533622\",\n \"0.6532323\",\n \"0.6518971\",\n \"0.6511192\",\n \"0.65093863\",\n \"0.65055597\",\n \"0.6494206\",\n \"0.64799565\",\n \"0.64680165\",\n \"0.6453238\",\n \"0.6451865\",\n \"0.64361054\",\n \"0.64266616\",\n \"0.6411509\",\n \"0.6403398\",\n \"0.6377807\",\n \"0.63776517\",\n \"0.63758224\",\n \"0.6319157\",\n \"0.6304823\",\n \"0.6299679\",\n \"0.62847203\",\n \"0.6275776\",\n \"0.62736386\",\n \"0.6247512\",\n \"0.623957\",\n \"0.623957\",\n \"0.623957\",\n \"0.6236724\",\n \"0.62338394\",\n \"0.6222396\",\n \"0.6220645\",\n \"0.6209596\",\n \"0.61950773\",\n \"0.6176984\",\n \"0.617695\",\n \"0.6175913\",\n \"0.61415213\",\n \"0.6133332\",\n \"0.61139697\",\n \"0.6108304\",\n \"0.6104162\",\n \"0.6104162\",\n \"0.60953516\",\n \"0.6091162\",\n \"0.6076967\",\n \"0.60741866\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7011682"},"document_rank":{"kind":"string","value":"17"}}},{"rowIdx":32588,"cells":{"query":{"kind":"string","value":"Checks if the entity's current position is a valid location to spawn this entity."},"document":{"kind":"string","value":"public boolean getCanSpawnHere()\r\n {\r\n return false;\r\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public void checkEnemy() {\n\t\tif (enemy != null)\n\t\tif (Integer.parseInt(getCurrentPositionX()) == enemy.getCurrentPositionX() && Integer.parseInt(getCurrentPositionY()) == enemy.getCurrentPositionY()) {\n\t\t\tx = spawnX;\n\t\t\ty = spawnY;\n\t\t}\n\t}","@Override\n\tpublic boolean canCoordinateBeSpawn(int par1, int par2) {\n\t\tint i = worldObj.getFirstUncoveredBlock(par1, par2);\n\t\tif (i == 0) {\n\t\t\treturn false;\n\t\t} else {\n\t\t\treturn Block.blocksList[i].blockMaterial.blocksMovement();\n\t\t}\n\t}","public boolean canCoordinateBeSpawn(int par1, int par2) {\n\t\tint var3 = this.worldObj.getFirstUncoveredBlock(par1, par2);\n\t\treturn var3 == 0 ? false : Block.blocksList[var3].blockMaterial.blocksMovement();\n\t}","public boolean isSpawn(Location loc) {\n\t\treturn RegionManager.get().hasTag(loc, \"spawn\");\n\t}","public boolean canCoordinateBeSpawn(int par1, int par2)\n {\n return false;\n }","public boolean isPositionValid(){\n\t\t//check overlapping with walls\n\t\tfor(Wall wall : Game.gameField.getWalls()){\n\t\t\tif(wall.overlaps(center))\n\t\t\t\treturn false;\n\t\t}\n\t\t//check overlapping with other balls\n\t\tfor(Ball ball : Game.gameField.getBalls()){\n\t\t\tif(ball == this)\n\t\t\t\tcontinue;\n\t\t\tif(ball.getCenterPoint().distance(center) < RADIUS * 2)\n\t\t\t\treturn false;\n\t\t}\n\t\treturn GameField.FIELD.contains(center);\n\t}","@Override\n public boolean isLocationValid(int x, int y)\n {\n return master.isLocationValid(x, y);\n }","private boolean isLegalPositon(Position checkPosition){\n if (checkPosition.equalPosition(start)||checkPosition.equalPosition(end))\n return true;\n if(checkPosition.getRow()<0 || checkPosition.getCol()<0 || checkPosition.getRow()>=this.rows || checkPosition.getCol() >= this.cols){\n return false;\n }\n\n if(maze[checkPosition.getRow()][checkPosition.getCol()]== WallType.wall){\n return false;\n }\n return true;\n }","public boolean validPosition(Player p, double x, double y) {\n\n\t\tTile tile = getTile(p, x + p.BOUNDING_BOX_X, y);\n\t\tif (tile == null || !tile.canEnter(p)) {\n\t\t\treturn false;\n\t\t}\n\n\t\ttile = getTile(p, x, y + p.BOUNDING_BOX_Y);\n\t\tif (tile == null || !tile.canEnter(p)) {\n\t\t\treturn false;\n\t\t}\n\n\t\ttile = getTile(p, x - p.BOUNDING_BOX_X, y);\n\t\tif (tile == null || !tile.canEnter(p)) {\n\t\t\treturn false;\n\t\t}\n\n\t\ttile = getTile(p, x, y - p.BOUNDING_BOX_Y);\n\t\tif (tile == null || !tile.canEnter(p)) {\n\t\t\treturn false;\n\t\t}\n\n\t\treturn true;\n\t}","@Model\n private boolean isValidPosition(double position){\n\t if (this.superWorld == null) return (!Double.isNaN(position));\n\t else return Helper.isValidDouble(position);\n }","@SuppressWarnings(\"ConstantConditions\")\n private boolean isStuck(Position pos, Position posNow) {\n if (pos.isSimilar(posNow)) {\n return true;\n }\n\n Instance instance = getInstance();\n Chunk chunk = null;\n Collection<Entity> entities = null;\n\n /*\n What we're about to do is to discretely jump from the previous position to the new one.\n For each point we will be checking blocks and entities we're in.\n */\n double part = .25D; // half of the bounding box\n Vector dir = posNow.toVector().subtract(pos.toVector());\n int parts = (int) Math.ceil(dir.length() / part);\n Position direction = dir.normalize().multiply(part).toPosition();\n for (int i = 0; i < parts; ++i) {\n // If we're at last part, we can't just add another direction-vector, because we can exceed end point.\n if (i == parts - 1) {\n pos.setX(posNow.getX());\n pos.setY(posNow.getY());\n pos.setZ(posNow.getZ());\n } else {\n pos.add(direction);\n }\n BlockPosition bpos = pos.toBlockPosition();\n Block block = instance.getBlock(bpos.getX(), bpos.getY() - 1, bpos.getZ());\n if (!block.isAir() && !block.isLiquid()) {\n teleport(pos);\n return true;\n }\n\n Chunk currentChunk = instance.getChunkAt(pos);\n if (currentChunk != chunk) {\n chunk = currentChunk;\n entities = instance.getChunkEntities(chunk)\n .stream()\n .filter(entity -> entity instanceof LivingEntity)\n .collect(Collectors.toSet());\n }\n /*\n We won't check collisions with entities for first ticks of arrow's life, because it spawns in the\n shooter and will immediately damage him.\n */\n if (getAliveTicks() < 3) {\n continue;\n }\n Optional<Entity> victimOptional = entities.stream()\n .filter(entity -> entity.getBoundingBox().intersect(pos.getX(), pos.getY(), pos.getZ()))\n .findAny();\n if (victimOptional.isPresent()) {\n LivingEntity victim = (LivingEntity) victimOptional.get();\n victim.setArrowCount(victim.getArrowCount() + 1);\n callEvent(EntityAttackEvent.class, new EntityAttackEvent(this, victim));\n remove();\n return super.onGround;\n }\n }\n return false;\n }","public boolean isSpawnPoint() {\n return isSpawnPoint;\n }","@Test\n\tpublic void validSpawn() {\n\t\tGameState gameState = new GameState(1, \"assets/maps/map.json\");\n\t\tassertTrue(\"Should be able to be set to 0,0\", gameState.addSpawn(new Location(0, 0)));\n\t}","public boolean isValid(World world, BlockPos pos, IBlockState state) {\n return true;\n }","@Override\n public boolean isLocationValid(XYCoord coords)\n {\n return master.isLocationValid(coords);\n }","public boolean shouldExecute()\n\t{\n\t\tif (this.entity.getAge() >= 100)\n\t\t{\n\t\t\treturn false;\n\t\t}\n\t\telse if (this.entity.getRNG().nextInt(120) != 0)\n\t\t{\n\t\t\treturn false;\n\t\t}\n\t\telse\n\t\t{\n\t\t\tVec3d Vec3d = RandomPositionGenerator.findRandomTarget(this.entity, 10, 7);\n\n\t\t\tif (Vec3d == null)\n\t\t\t{\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\telse\n\t\t\t{\n\t\t\t\tthis.xPosition = Vec3d.xCoord;\n\t\t\t\tthis.yPosition = Vec3d.yCoord;\n\t\t\t\tthis.zPosition = Vec3d.zCoord;\n\t\t\t\tthis.leapTarget = Vec3d;\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}","public boolean canMoveTo(Position position){\n if(position.x > mapSize.x || position.x < 0 || position.y > mapSize.y || position.y < 0){\n return false;\n }\n return !isOccupied(position);\n }","public boolean isSpawn()\n\t{\n\t\treturn block == Block.FRUIT_SPAWN || block == Block.GHOST_SPAWN || block == Block.PAC_SPAWN;\n\t}","@Override\n public boolean shouldExecute()\n {\n if (!this.mustUpdate)\n {\n if (this.entity.getRNG().nextInt(this.executionChance) != 0)\n {\n return false;\n }\n }\n\n Vec3d vec3d = RandomPositionGenerator.findRandomTarget(this.entity, 10, 7);\n int attempts = 0;\n while (attempts < 10 && entity.getHomePosition().getDistance(vec3d != null ? (int)vec3d.xCoord : (int)entity.posX, vec3d != null ? (int)vec3d.yCoord : (int)entity.posY, vec3d != null ? (int)vec3d.zCoord : (int)entity.posZ) > entity.getMaximumHomeDistance()) {\n vec3d = RandomPositionGenerator.findRandomTarget(this.entity, 12, 8);\n attempts++;\n }\n\n if (vec3d == null || attempts >= 10)\n {\n return false;\n }\n else\n {\n this.xPosition = vec3d.xCoord;\n this.yPosition = vec3d.yCoord;\n this.zPosition = vec3d.zCoord;\n this.mustUpdate = false;\n return true;\n }\n }","private boolean getValidRespawnPosition(int x, int y, int imageW, int imageH) {\n\t\tRectangle iRect = new Rectangle(x, y, imageW, imageH);\n\t\t// dont spawn on a wall\n\t\tfor (Wall w : wallArray) {\n\t\t\tRectangle wRect = w.getBounds();\n\t\t\tif (iRect.intersects(wRect)) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\n\t\t// dont spawn on a powerup\n\t\tfor (Powerup p : powerupArray) {\n\t\t\tRectangle pRect = p.getBounds();\n\t\t\tif (iRect.intersects(pRect)) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\n\t\treturn false;\n\t}","public boolean canPlaceEntity() {\n boolean blocked = this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.BLOCKED);\n if (blocked) return false;\n\n return this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.PLACEABLE);\n }","public boolean isSpawnable(Location loc) {\n Block block = loc.getBlock();\n Block under = loc.getBlock().getRelative(BlockFace.DOWN);\n Block above = loc.getBlock().getRelative(BlockFace.UP);\n if (block.getType().equals(Material.AIR) && !under.getType().equals(Material.AIR) && above.getType().equals(Material.AIR)) {\n if (block.getLightLevel() <= plugin.CONFIG.SPAWNING_LIGHT) {\n return true;\n }\n }\n return false;\n }","public void spawnInLattice() throws GameActionException {\n boolean isMyCurrentSquareGood = checkIfGoodSquare(Cache.CURRENT_LOCATION);\n\n // if in danger from muckraker, get out\n if (runFromMuckrakerMove() != 0) {\n return;\n }\n\n if (isMyCurrentSquareGood) {\n currentSquareIsGoodExecute();\n } else {\n currentSquareIsBadExecute();\n }\n\n }","private final boolean isInsideWorld() {\n\t\t// Check it is inside the world\n\t\tif (x<=0 || y<=0 || x+width>=_world.getWidth() || y+height>=_world.getHeight()) {\n\t\t\tif (_mass == 0 && alive && x == 0 && y == 0)\n\t\t\t\tdie(this);\n\t\t\t// Adjust direction\n\t\t\tif (x <= 0 || x + width >= _world.getWidth())\n\t\t\t\tdx = -dx;\n\t\t\tif (y <= 0 || y + height >= _world.getHeight())\n\t\t\t\tdy = -dy;\n\t\t\tdtheta = 0;\n\t\t\treturn false;\n\t\t}\n\t\treturn true;\n\t}","private Location verifyLocation(Location location)\n {\n Block playerBlock = location.getBlock();\n World world = location.getWorld();\n\n if (rootC.getStringList(RootNode.WORLDS).contains(world.getName()))\n {\n // Only spawn monsters in normal world. End is crowded with endermen\n // and nether is too extreme anyway, add config later\n int lightLvl = location.getBlock().getLightFromSky();\n if (world.getEnvironment() == Environment.NORMAL\n && (location.getY() < rootC.getInt(RootNode.MORE_MONSTERS_MAX_Y) && lightLvl < 3))\n {\n // the playerBlock should always be air, but if the player stands\n // on a slab he actually is in the slab, checking a few blocks under because player could have jumped etc..\n if (playerBlock.getType().equals(Material.AIR))\n {\n for (int i = 0; i <= 3; i++)\n {\n playerBlock = location.getBlock().getRelative(BlockFace.DOWN, 1);\n\n if (playerBlock.getType().equals(Material.AIR))\n {\n location.subtract(0, 1, 0);\n playerBlock = location.getBlock();\n // the playerBlock is now the block where the monster\n // should spawn on, next up: verify block\n }\n else\n {\n break;\n }\n }\n }\n // no spawning on steps, stairs and transparent blocks\n if (playerBlock.getType().name().endsWith(\"STEP\") || playerBlock.getType().name().endsWith(\"STAIRS\")\n || playerBlock.getType().isTransparent() || !playerBlock.getType().isOccluding() || playerBlock.getType().equals(Material.AIR))\n {\n // don't spawn here\n return null;\n }\n\n if (quickVerify(location))\n return location;\n }\n\n }\n return null;\n }","private static boolean shouldSpawnParticle(World world, BlockPos pos, double x, double y, double z) {\n if (isLeafBlock(world.getBlockState(pos.down()).getBlock(), true)) return false;\n\n double y2 = y - CONFIG.minimumFreeSpaceBelow * 0.5;\n Box collisionBox = new Box(x - 0.1, y, z - 0.1, x + 0.1, y2, z + 0.1);\n\n // Only spawn the particle if there's enough room for it\n return !world.getBlockCollisions(null, collisionBox).findAny().isPresent();\n }","private boolean canMove(Location location) {\n if (location == null) return false;\n return location.getWorld().intersects(this, Util.getRectangle(location, size)) == null && location.getY() >= 0 && location.getX() >= 0;\n }","private boolean isValidPosition(Point pos){\r\n return (0 <= pos.getFirst() && pos.getFirst() < 8 && \r\n 0 <= pos.getSecond() && pos.getSecond() < 8);\r\n }","@Test\n\tpublic void invalidSpawn_2() {\n\t\tGameState gameState = new GameState(1, \"assets/maps/map.json\");\n\t\tSquare[][] board = gameState.getBoard();\n\t\tassertFalse(\"Should not be able to add off the board\", gameState.addSpawn(new Location(board[0].length, 0)));\n\t}","public boolean enemyOutOfBounds() {\n return (position.x < 0\n || position.x + TYPE_A_WIDTH > World.WORLD_WIDTH\n || position.y < 0\n || position.y + TYPE_A_HEIGHT > World.WORLD_HEIGHT);\n }","@Override\n public boolean isValid() {\n if(width < 0){\n return false;\n }\n\n if(height < 0){\n return false;\n }\n\n //no null objects\n if(origin == null){\n return false;\n }\n\n if(color == null){\n return false;\n }\n\n //if texture doesn't exist, sprite is not buildable\n if(!Gdx.files.internal(texture).exists()){\n Gdx.app.log(TAG, \"Texture cannot be found: \" + texture);\n return false;\n }\n\n return true;\n }","public boolean hasValidPoint() {\n return mPoint.x != 0 || mPoint.y != 0;\n }","public boolean canMoveTo(Position position){\n return !isOccupied(position);\n }","private boolean spawn(int x, int y) {\n\t\treturn false;\n\t}","public boolean checkRep() {\n return location.x() >= 0 && location.x() < board.getWidth() && \n location.y() >= 0 && location.y() < board.getHeight(); \n }","public boolean isOuterSpawn(Location loc) {\n\t\treturn RegionManager.get().hasTag(loc, \"outer-spawn\");\n\n\t}","private boolean legalMove() {\n\n\t\t// empty landing spot\n\t\tif (tilePath.size() == 0) {\n\t\t\tdebug(\"illegal, empty landing spot\");\n\t\t\treturn false;\n\t\t}\n\n\t\tif (!mBoard.tileIsEmpty(tilePath.get(tilePath.size() - 1))) {\n\t\t\tdebug(\"illegal, tile not empty\");\n\t\t\treturn false;\n\t\t}\n\n\t\t// start doesn't equal end\n\t\tif (tilePath.get(0).equals(tilePath.get(tilePath.size() - 1))) {\n\t\t\tdebug(\"illegal, start doesn't equal end\");\n\t\t\treturn false;\n\t\t}\n\n\t\treturn true;\n\t}","public boolean hasLocation()\n {\n return targetLocation != null;\n }","public boolean checkWorld(Entity entity) {\r\n return entity.getWorld() == worldFrom;\r\n }","public boolean isValidPlacementSpot() {\n return isEmpty() && ! getNeighbours().stream().allMatch(Spot::isEmpty);\n }","@Test\n public void testIsPositionValid() {\n assertFalse(this.board.isPositionValid(new Position(-1, -1)));\n assertFalse(this.board.isPositionValid(new Position(11, 11)));\n for (int line = 0; line < 11; line++) {\n for (int column = 0; column < 11; column++) {\n assertTrue(this.board.isPositionValid(new Position(line, column)));\n }\n }\n }","public boolean canMove(Location loc){\n if(loc.getX() >= theWorld.getX() || loc.getX() < 0){\n System.out.println(\"cant move1\");\n return false;\n }else if(loc.getY() >= theWorld.getY() || loc.getY() < 0){\n System.out.println(\"cant move2\");\n return false;\n }else{\n System.out.println(\"can move\");\n return true;\n }\n }","protected static boolean checkStartPos(Level level, int x, int y, int playerDist, int soloRadius) {\r\n\t\tif (level.player != null) {\r\n\t\t\tint xd = level.player.x - x;\r\n\t\t\tint yd = level.player.y - y;\r\n\t\t\t\r\n\t\t\tif (xd * xd + yd * yd < playerDist * playerDist) return false;\r\n\t\t}\r\n\t\t\r\n\t\tint r = level.monsterDensity * soloRadius; // get no-mob radius\r\n\t\t\r\n\t\tif (level.getEntities(x - r, y - r, x + r, y + r).size() > 0) return false;\r\n\t\t\r\n\t\treturn level.getTile(x >> 4, y >> 4).maySpawn; // the last check.\r\n\t}","protected boolean shouldMoveTo(World worldIn, BlockPos pos)\n {\n Block block = worldIn.getBlockState(pos).getBlock();\n\n if (block == Blocks.FARMLAND)\n {\n pos = pos.up();\n IBlockState iblockstate = worldIn.getBlockState(pos);\n block = iblockstate.getBlock();\n\n if (block instanceof BlockCrops && this.wantsToReapStuff && (this.currentTask == 0 || this.currentTask < 0))\n {\n this.currentTask = 0;\n return true;\n }\n\n }\n\n return false;\n }","protected boolean shouldMoveTo(World worldIn, BlockPos pos) {\n Block block = worldIn.getBlockState(pos).getBlock();\n\n if (block == Blocks.FARMLAND) {\n pos = pos.up();\n IBlockState iblockstate = worldIn.getBlockState(pos);\n block = iblockstate.getBlock();\n\n if (block instanceof BlockCropPinto && ((BlockCropPinto) block).isMaxAge(iblockstate) && this.wantsToReapStuff && (this.currentTask == 0 || this.currentTask < 0)) {\n this.currentTask = 0;\n return true;\n }\n\n if (iblockstate.getMaterial() == Material.AIR && this.hasFarmItem && (this.currentTask == 1 || this.currentTask < 0)) {\n this.currentTask = 1;\n return true;\n }\n }\n return false;\n }","public boolean check() {\n return StuffUtils.equal(structure, SpigotUtils.structBetweenTwoLocations(pos1, pos2, material));\n }","public boolean shouldExecute() {\n\t\t\tEntityMoveHelper entitymovehelper = this.parentEntity.getMoveHelper();\n\n\t\t\tif (!entitymovehelper.isUpdating()) {\n\t\t\t\treturn true;\n\t\t\t} else {\n\t\t\t\tdouble d0 = entitymovehelper.getX() - this.parentEntity.posX;\n\t\t\t\tdouble d1 = entitymovehelper.getY() - this.parentEntity.posY;\n\t\t\t\tdouble d2 = entitymovehelper.getZ() - this.parentEntity.posZ;\n\t\t\t\tdouble d3 = d0 * d0 + d1 * d1 + d2 * d2;\n\t\t\t\treturn d3 < 1.0D || d3 > 3600.0D;\n\t\t\t}\n\t\t}","public boolean canMove (Location loc) {\n Grid<Actor> gr = getGrid();\n if (gr == null)\n return false;\n if (!gr.isValid(loc))\n return false;\n Actor neighbor = gr.get(loc);\n return !(neighbor instanceof Wall);\n }","private Vector2d checkOutOfBounds(Vector2d position) {\n\t\t//Check for x\n\t\tif (position.x < 0) position.x = 0;\n\t\tif (position.x > course.TERRAIN_SIZE) position.x = course.TERRAIN_SIZE;\n\t\t//Check for y\n\t\tif (position.y < 0) position.y = 0;\n\t\tif (position.y > course.TERRAIN_SIZE) position.y = course.TERRAIN_SIZE;\n\n\t\treturn new Vector2d(position.x,position.y);\n\t}","boolean isGoodLocation(World world, int x, int y, int z);","public boolean isValidPosition(Position pos){\n\t\t// check whether the specified position is a valid position for the board\n\t\t// return true for valid positions and false for invalid ones\n\t\t// O(1)\n\t\tif((pos.getRow() >= 0 && pos.getRow() <= numRows) && (pos.getCol() >= 0 && pos.getCol() <= numCols)) { //If the row and columns are within the bounds then it returns true\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","public boolean validPlacement(double x, double y) {\n\t\treturn myEngineManager.validateTower(x, y);\n\t}","protected boolean spawn(int x, int y) {\r\n\t\t/* Create a new message, notifying the board\r\n\t\t * the unit has actually spawned at the\r\n\t\t * designated position. \r\n\t\t */\r\n\t\t\r\n\t\tint id = localMessageCounter++;\r\n\t\tMessage spawnMessage = new Message();\r\n\t\tspawnMessage.put(\"request\", MessageRequest.spawnUnit);\r\n\t\tspawnMessage.put(\"x\", x);\r\n\t\tspawnMessage.put(\"y\", y);\r\n\t\tspawnMessage.put(\"unit\", (IUnit) this);\r\n\t\tspawnMessage.put(\"id\", id);\r\n\t\tspawnMessage.put(\"origin\", \"D\" + unitID);\r\n\t\t\r\n\t\t// Send a spawn message\r\n\t\tif (!sendAndWait(spawnMessage))\r\n\t\t\treturn false;\r\n\t\t\r\n\t\tMessage response = messageList.remove(id);\r\n\r\n\t\t// Wait for the unit to be placed\r\n\t\treturn (Boolean) response.get(\"committed\");\r\n\t}","@Override\n\tpublic boolean isLegalMove(Square newPosition) {\n\t\treturn false;\n\t}","public boolean isValid() {\n\t\treturn (x >= 0 && x < Board.SIZE && y >= 0 && y < Board.SIZE);\n\t}","public boolean checkItem () {\r\n\t\tfor (Entity e : getLocation().getWorld().getEntities())\r\n\t\t{\r\n\t\t\tdouble x = e.getLocation().getX();\r\n\t\t\tdouble z = e.getLocation().getZ();\r\n\t\t\tdouble yDiff = getSpawnLocation().getY() - e.getLocation().getY();\r\n \r\n\t\t\tif (yDiff < 0)\r\n\t\t\t\tyDiff *= -1;\r\n\r\n\t\t\tif (x == getSpawnLocation().getX() && yDiff <= 1.5 && z == getSpawnLocation().getZ()) {\r\n \r\n ShowCaseStandalone.slog(Level.FINEST, \"Potential hit on checkItem()\");\r\n\t\t\t\ttry {\r\n\t\t\t\t\tItem itemE = (Item)e;\r\n\t\t\t\t\tif (ItemStackHandler.itemsEqual(itemE.getItemStack(), getItemStack(), true)) {\r\n ShowCaseStandalone.slog(Level.FINEST, \"Existing stack: \" + itemE.getItemStack().toString());\r\n itemE.getItemStack().setAmount(1); //Removes duped items, which can occur.\r\n\t\t\t\t\t\tthis.item = itemE;\r\n\t\t\t\t\t\tscs.log(Level.FINER, \"Attaching to existing item.\");\r\n\t\t\t\t\t\treturn true;\r\n\t\t\t\t\t}\r\n\t\t\t\t} catch (Exception ex) {}\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn false;\r\n\t}","private boolean isValidCoordinate(int x, int y) {\n return x >= 0 && x < gameState.mapSize\n && y >= 0 && y < gameState.mapSize;\n }","public boolean shouldExecute()\n {\n if (field_46105_a.getRNG().nextFloat() >= field_48294_e)\n {\n return false;\n }\n\n if (field_48293_f == (net.minecraft.src.EntityPlayer.class))\n {\n closestEntity = field_46105_a.worldObj.getClosestPlayerToEntity(field_46105_a, field_46101_d);\n }\n else\n {\n closestEntity = field_46105_a.worldObj.findNearestEntityWithinAABB(field_48293_f, field_46105_a.boundingBox.expand(field_46101_d, 3D, field_46101_d), field_46105_a);\n }\n\n return closestEntity != null;\n }","public boolean someLegalPos() {\n return !legalPos.isEmpty();\n }","@Override\r\n\tpublic boolean isNodeValid() {\n\t\treturn (SKILLS.HITPOINTS.getActualLevel() >= 25\r\n\t\t\t\t&& SKILLS.THIEVING.getActualLevel() >= 28\r\n\t\t\t\t&& Inventory.getCount(\"Coins\") >= 30 && (Location.karamjaFirstStepCheck.atLocation(Player.getPosition()) ||Location.karamjaBoatLandTile.equals(Player.getPosition()) ));\r\n\t}","private boolean isViewerPositionInvalid(ViewerPosition3D position)\n {\n Vector3d location = new Vector3d(position.getLocation());\n double terrainTolerance = TERRAIN_SAFETY_TOLERANCE;\n if (position.getGeoPosition() != null && position.getGeoPosition().getAlt().getReferenceLevel() != ReferenceLevel.TERRAIN)\n {\n terrainTolerance *= 10;\n }\n\n if (!myMapContext.getProjection().isOutsideModel(location.add(location.multiply(terrainTolerance)))\n || Math.abs(location.getX()) > ourMaxOriginDistance\n || Math.abs(location.getY()) > ourMaxOriginDistance\n || Math.abs(location.getZ()) > ourMaxOriginDistance)\n {\n return true;\n }\n\n return false;\n }","public boolean continueExecuting()\n\t{\n\t\treturn this.entity.posX != this.xPosition && this.yPosition != this.entity.posY && this.entity.posZ != this.zPosition;\n\t}","boolean haveAnySpawn();","public boolean getCanSpawnHere()\n {\n return this.isValidLightLevel() && super.getCanSpawnHere();\n }","private Point getSafeTeleportPosition() {\n\t\tRandom number \t= new Random();\n\t\tPoint p\t\t\t= new Point();\n\t\twhile(true) {\n\t\t\tint x\t\t= number.nextInt(rows-1);\t\n\t\t\tint y\t\t= number.nextInt(cols-1);\n\t\t\tp.x\t\t\t= x;\n\t\t\tp.y\t\t\t= y;\n\t\t\t\n\t\t\t//if the point isn't in the array\n\t\t\tif(!occupiedPositions.contains(p)) {\n\t\t\t\t//check the surrounding of the point, need to be a \"safe teleport\"\n\t\t\t\tif(checkSurroundingOfPoint(p)) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn p;\n\t}","boolean canMoveTo(Vector2d position);","@Override\n\t\t\t\tpublic boolean validEntity(Entity me, Entity other) {\n\t\t\t\t\tif(Mappers.status.get(me).same(Mappers.status.get(other))) return false;\n\t\t\t\t\t\n\t\t\t\t\tFacingComponent facingComp = Mappers.facing.get(me);\n\t\t\t\t\tBody myBody = Mappers.body.get(me).body;\n\t\t\t\t\tBody otherBody = Mappers.body.get(other).body;\n\t\t\t\t\t\n\t\t\t\t\tfloat xOff = facingComp.facingRight ? 0.5f : -0.5f;\n\t\t\t\t\t\n\t\t\t\t\tfloat myX = myBody.getPosition().x + xOff;\n\t\t\t\t\tfloat myY = myBody.getPosition().y;\n\t\t\t\t\tfloat otherX = otherBody.getPosition().x;\n\t\t\t\t\tfloat otherY = otherBody.getPosition().y;\n\t\t\t\t\t\n\t\t\t\t\tfloat minX = 0.0f;\n\t\t\t\t\tfloat maxX = minX + range;\n\t\t\t\t\tfloat yRange = 0.9f;\n\t\t\t\t\t\n\t\t\t\t\t// Construct box in front of you\n\t\t\t\t\tfloat closeX = facingComp.facingRight ? myX + minX : myX - minX;\n\t\t\t\t\tfloat farX = facingComp.facingRight ? myX + maxX : myX - maxX;\n\t\t\t\t\tfloat top = myY + yRange;\n\t\t\t\t\tfloat bottom = myY - yRange;\n\t\t\t\t\t\n\t\t\t\t\tDebugRender.setType(ShapeType.Line);\n\t\t\t\t\tDebugRender.setColor(Color.CYAN);\n\t\t\t\t\tDebugRender.rect(facingComp.facingRight ? closeX : farX, bottom, Math.abs(farX - closeX), top - bottom, 1.0f);\n\t\t\t\t\t\n\t\t\t\t\tRectangle kick = new Rectangle(Math.min(closeX, farX), bottom, Math.abs(closeX - farX), top - bottom);\n\t\t\t\t\tRectangle enemy = new Rectangle(Mappers.body.get(other).getAABB());\n\t\t\t\t\tenemy.x = otherX - enemy.width * 0.5f;\n\t\t\t\t\tenemy.y = otherY - enemy.height * 0.5f;\n\t\t\t\t\t\n\t\t\t\t\treturn kick.overlaps(enemy);\n//\t\t\t\t\treturn (((facingComp.facingRight && otherX >= closeX && otherX <= farX) || (!facingComp.facingRight && otherX >= farX && otherX <= closeX)) && otherY <= top && otherY >= bottom);\n\t\t\t\t}","@java.lang.Override\n public boolean hasPosition() {\n return position_ != null;\n }","@java.lang.Override\n public boolean hasPosition() {\n return position_ != null;\n }","@Override\n public boolean isTransforming() {\n return super.isTransforming() || desiredWorldPosition != null;\n }","public abstract boolean canMoveTo(Case Location);","public boolean hasPosition() {\n return positionBuilder_ != null || position_ != null;\n }","public boolean hasPosition() {\n return positionBuilder_ != null || position_ != null;\n }","private Point getUnsafeTeleportPosition() {\n\t\tRandom number \t= new Random();\n\t\tPoint p \t\t= new Point();\n\t\t\n\t\twhile(true) {\n\t\t\tint x\t\t= number.nextInt(rows-1);\t\n\t\t\tint y\t\t= number.nextInt(cols-1);\n\t\t\tp.x\t\t\t= x;\n\t\t\tp.y\t\t\t= y;\n\t\t\t\n\t\t\t// position isn't occupied\n\t\t\tif(!occupiedPositions.contains(p))\n\t\t\t\tbreak;\n\t\t}\n\t\t\n\t\treturn p;\n\t}","public synchronized boolean isInPosition(){\r\n\t\tSystem.out.println(\"wheel: \" + flywheel.isFlywheelAtSpeed() + \r\n\t\t\t\t\" hood: \" + hood.isInPosition() + \r\n\t\t\t\t\" turret: \" + turret.isInPosition() + \r\n\t\t\t\t\" kicker: \" + kicker.isInPosition());\r\n\t\treturn flywheel.isFlywheelAtSpeed() && \r\n\t\t\t\thood.isInPosition() && \r\n\t\t\t\tturret.isInPosition() && \r\n\t\t\t\tkicker.isInPosition();\r\n\t}","public boolean canMove() {\n\n\tArrayList<Location> moveLocs = getValid(getLocation());\n\n\tif (isEnd == true) {\n\t return false;\n\t} \n\tif (!moveLocs.isEmpty()) {\n\t \n\t randomSelect(moveLocs);\n\t // selectMoveLocation(moveLocs);\n\t return true;\n\n\t} else {\n\t return false;\n\t}\n }","@Test\n public void shouldBeAbleToCreatePiecePosition() {\n Assert.assertNotNull(position);\n }","Spawn(LatLng position) {\n this.position = position;\n return;\n }","public void verifyInPlanet() {\n if (!this.isInPlanet())\n return;\n if (this.getPosition().dst2(this.getPlanet().getPosition()) > maximumAllowedDistance) {\n this.removeFromPlanet();\n this.setState(new FloatState(this.state.getTime()));\n }\n }","public static void spawnByLoc(WorldPosition pos)\n\t{\n\t\tfor (Entry<WorldPosition, FastList<SpawnTemplate>> spawnpos : spawnsByPosition.entrySet())\n\t\t{\n\t\t\tif (spawnpos.getKey().getX() == pos.getX() && spawnpos.getKey().getY() == pos.getY() && spawnpos.getKey().getZ() == pos.getZ())\n\t\t\t{\n\t\t\t\t//found = true;\n\t\t\t\tint index = Rnd.get(0,(spawnpos.getValue().size()-1));\n\t\t\t\tfinal SpawnTemplate st = spawnpos.getValue().get(index);\n\t\t\t\tint respawntime = 295;\n\t\t ThreadPoolManager.getInstance().schedule(new Runnable() \n\t\t {\n\t\t @Override\n\t\t public void run() \n\t\t {\n\t\t \tspawn(st);\n\t\t }\t\t \n\t\t }, respawntime * 1000);\t\t\t\t\n\t\t\t} \t\t\t\n\t\t} \n\t\t//if (!found) log.warn(\"Didn't found Location for \"+pos.toString());\n\t}","boolean hasPosition();","boolean hasPosition();","boolean hasPosition();","boolean hasPosition();","private Location generateRandomStartLocation() {\n\t\tif (!atLeastOneNonWallLocation()) {\n\t\t\tthrow new IllegalStateException(\n\t\t\t\t\t\"There is no free tile available for the player to be placed\");\n\t\t}\n\n\t\twhile (true) {\n\t\t\t// Generate a random location\n\t\t\tfinal Random random = new Random();\n\t\t\tfinal int randomRow = random.nextInt(this.map.getMapHeight());\n\t\t\tfinal int randomCol = random.nextInt(this.map.getMapWidth());\n\n\t\t\tfinal Location location = new Location(randomCol, randomRow);\n\n\t\t\tif (this.map.getMapCell(location).isWalkable()\n\t\t\t\t\t&& !otherPlayerOnTile(location, -1)) {\n\t\t\t\t// If it's not a wall then we can put them there\n\t\t\t\treturn location;\n\t\t\t}\n\t\t}\n\t}","public boolean shouldExecute() {\n LivingEntity livingentity = ShulkerEntity.this.getAttackTarget();\n if (livingentity != null && livingentity.isAlive()) {\n return ShulkerEntity.this.world.getDifficulty() != Difficulty.PEACEFUL;\n } else {\n return false;\n }\n }","public static boolean validLocation(AbstractCard c) {\n return AbstractDungeon.player.hand.contains(c) ||\n AbstractDungeon.player.drawPile.contains(c) ||\n AbstractDungeon.player.discardPile.contains(c) ||\n AbstractDungeon.player.exhaustPile.contains(c);\n }","public Location getSpawnLocation() {\n return this.spawnLocation;\n }","@Override\n protected void checkLocation() {\n // nothing\n }","protected boolean teleportToEntity(Entity entity) {\n Vec3 vector = Vec3.createVectorHelper(this.posX - entity.posX, this.boundingBox.minY + this.height / 2.0F - entity.posY + entity.getEyeHeight(), this.posZ - entity.posZ);\n vector = vector.normalize();\n double x = this.posX + (this.rand.nextDouble() - 0.5) * 8.0 - vector.xCoord * 16.0;\n double y = this.posY + (this.rand.nextInt(16) - 8) - vector.yCoord * 16.0;\n double z = this.posZ + (this.rand.nextDouble() - 0.5) * 8.0 - vector.zCoord * 16.0;\n return this.teleportTo(x, y, z);\n }","private boolean placeNear(Organism parent) {\n\t\tint nPos = Utils.random.nextInt(8);\n\t\t// Try to put it in any possible position, starting from a randomly chosen one.\n\t\tfor (int nSide = 0; nSide < 8; nSide++) {\n\t\t\t// Calculate candidate position\n\t\t\t_dCenterX = parent._dCenterX + (parent.width / 2 + width / 2+ 1) * Utils.side[nPos][0]; \n\t\t\t_dCenterY = parent._dCenterY + (parent.height / 2 + height / 2 + 1) * Utils.side[nPos][1];\n\t\t\t_centerX = (int) _dCenterX;\n\t\t\t_centerY = (int) _dCenterY;\n\t\t\tcalculateBounds(true);\n\t\t\t// Check this position is inside the world.\n\t\t\tif (isInsideWorld()) {\n\t\t\t\t// Check that it doesn't overlap with other organisms.\n\t\t\t\tif (_world.fastCheckHit(this) == null) {\n\t\t\t\t\tif (parent._geneticCode.getDisperseChildren()) {\n\t\t\t\t\t\tdx = Utils.side[nPos][0];\n\t\t\t\t\t\tdy = Utils.side[nPos][1];\n\t\t\t\t\t} else {\n\t\t\t\t\t\tdx = parent.dx;\n\t\t\t\t\t\tdy = parent.dy;\n\t\t\t\t\t}\n\t\t\t\t\t// Generate an identification\n\t\t\t\t\t_ID = _world.getNewId();\n\t\t\t\t\t// Substract the energy from the parent\n\t\t\t\t\tparent._energy -= _energy;\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\t\t\tnPos = (nPos + 1) % 8;\n\t\t}\n\t\t// It can't be placed.\n\t\treturn false;\n\t}","public Boolean isValidMovement(int x, int y){\n\t\tif ( x < 0 || x > 7 || y < 0 || y > 7 \n\t\t\t\t|| this.board.getPiece(x, y).getColor().equalsIgnoreCase(this.color))\n\t\t\treturn false;\n\t\t\n\t\tint distX = Math.abs(this.posX - x);\n\t\tint distY = Math.abs(this.posY - y);\n\t\t\n\t\tif (distX != distY)\n\t\t\treturn false;\n\t\t\n\t\tif (this.posX > x && this.posY > y){\n\t\t\tfor (int i = 1; i < distX ; i ++){\n\t\t\t\tif (!this.board.getPiece(this.posX - i, this.posY - i).isEmpty())\n\t\t\t\t\treturn false;\n\t\t\t}\n\t\t\treturn true;\n\t\t}\n\t\t\n\t\tif (this.posX < x && this.posY > y){\n\t\t\tfor (int i = 1; i < distX ; i ++){\n\t\t\t\tif (!this.board.getPiece(this.posX + i, this.posY - i).isEmpty())\n\t\t\t\t\treturn false;\n\t\t\t}\n\t\t\treturn true;\n\t\t}\n\t\t\n\t\tif (this.posX > x && this.posY < y){\n\t\t\tfor (int i = 1; i < distX ; i ++){\n\t\t\t\tif (!this.board.getPiece(this.posX - i, this.posY + i).isEmpty())\n\t\t\t\t\treturn false;\n\t\t\t}\n\t\t\treturn true;\n\t\t}\n\t\t\n\t\tif (this.posX < x && this.posY < y){\n\t\t\tfor (int i = 1; i < distX ; i ++){\n\t\t\t\tif (!this.board.getPiece(this.posX + i, this.posY + i).isEmpty())\n\t\t\t\t\treturn false;\n\t\t\t}\n\t\t\treturn true;\n\t\t}\n\t\t\n\t\treturn false;\n\t}","public static boolean isValid(Location l)\n\t{\n\t\treturn l != null || Maze.isInBounds(l);\n\t}","@Override\n\tpublic boolean shouldExecute() {\n\t\tif (!theEntity.isTamed())\n\t\t\treturn false;\n\t\telse if (theEntity.isInWater())\n\t\t\treturn false;\n\t\telse if (!theEntity.onGround)\n\t\t\treturn false;\n\t\telse {\n\t\t\tfinal EntityLivingBase var1 = theEntity.getOwner();\n\t\t\treturn var1 == null ? true\n\t\t\t\t\t: theEntity.getDistanceSqToEntity(var1) < 144.0D\n\t\t\t\t\t\t\t&& var1.getAITarget() != null ? false : isSitting;\n\t\t}\n\t}","@Override\n\tpublic void spawn(Location loc) {\n\t\t\n\t}","public Enemy spawn(float playerXPos)\n {\n if (spawned || playerXPos + spawnDistance < x)\n {\n return null;\n }\n else\n {\n spawned = true;\n \n myEnemy.reset();\n myEnemy.setPosition(x, y);\n return myEnemy;\n }\n }","private boolean isNearToEndPosition() {\n switch (direction) {\n case UP:\n return posY <= endPosition;\n case DOWN:\n return posY >= endPosition;\n case LEFT:\n return posX <= endPosition;\n case RIGHT:\n return posX >= endPosition;\n }\n throw new RuntimeException(\"Unknown position\");\n }","public boolean isPosValid(int x, int y, int tokNum, int rotNum) {\n int [] xArray = xRotations[tokNum][rotNum];\n int [] yArray = yRotations[tokNum][rotNum];\n \n for (int i = 0; i < 4; i++) {\n \n //Positions to check \n int xIndex = x+xArray[i];\n int yIndex = y+yArray[i];\n \n //Check range\n if (xIndex < 0) return false;\n if (xIndex >= 10) return false;\n if (yIndex < 0) return false;\n if (yIndex >= 20) return false;\n \n //Check to see if space is occupied\n if (gameBoard[xIndex][yIndex] == 1) return false;\n }\n\n return true;\n }","protected boolean setBlockIfValid(World world, BlockPos pos, IBlockState state) {\n\t\tif(world.getBlockState(pos).getBlockHardness(world, pos) >= 0) {\n\t\t\tthis.setBlockAndNotifyAdequately(world, pos, state);\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","@Test\n\tpublic void invalidSpawn_1() {\n\t\tGameState gameState = new GameState(1, \"assets/maps/map.json\");\n\t\tassertFalse(\"Should not be able to add null\", gameState.addSpawn(null));\n\t}","boolean hasTargetPos();"],"string":"[\n \"public void checkEnemy() {\\n\\t\\tif (enemy != null)\\n\\t\\tif (Integer.parseInt(getCurrentPositionX()) == enemy.getCurrentPositionX() && Integer.parseInt(getCurrentPositionY()) == enemy.getCurrentPositionY()) {\\n\\t\\t\\tx = spawnX;\\n\\t\\t\\ty = spawnY;\\n\\t\\t}\\n\\t}\",\n \"@Override\\n\\tpublic boolean canCoordinateBeSpawn(int par1, int par2) {\\n\\t\\tint i = worldObj.getFirstUncoveredBlock(par1, par2);\\n\\t\\tif (i == 0) {\\n\\t\\t\\treturn false;\\n\\t\\t} else {\\n\\t\\t\\treturn Block.blocksList[i].blockMaterial.blocksMovement();\\n\\t\\t}\\n\\t}\",\n \"public boolean canCoordinateBeSpawn(int par1, int par2) {\\n\\t\\tint var3 = this.worldObj.getFirstUncoveredBlock(par1, par2);\\n\\t\\treturn var3 == 0 ? false : Block.blocksList[var3].blockMaterial.blocksMovement();\\n\\t}\",\n \"public boolean isSpawn(Location loc) {\\n\\t\\treturn RegionManager.get().hasTag(loc, \\\"spawn\\\");\\n\\t}\",\n \"public boolean canCoordinateBeSpawn(int par1, int par2)\\n {\\n return false;\\n }\",\n \"public boolean isPositionValid(){\\n\\t\\t//check overlapping with walls\\n\\t\\tfor(Wall wall : Game.gameField.getWalls()){\\n\\t\\t\\tif(wall.overlaps(center))\\n\\t\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\t//check overlapping with other balls\\n\\t\\tfor(Ball ball : Game.gameField.getBalls()){\\n\\t\\t\\tif(ball == this)\\n\\t\\t\\t\\tcontinue;\\n\\t\\t\\tif(ball.getCenterPoint().distance(center) < RADIUS * 2)\\n\\t\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\treturn GameField.FIELD.contains(center);\\n\\t}\",\n \"@Override\\n public boolean isLocationValid(int x, int y)\\n {\\n return master.isLocationValid(x, y);\\n }\",\n \"private boolean isLegalPositon(Position checkPosition){\\n if (checkPosition.equalPosition(start)||checkPosition.equalPosition(end))\\n return true;\\n if(checkPosition.getRow()<0 || checkPosition.getCol()<0 || checkPosition.getRow()>=this.rows || checkPosition.getCol() >= this.cols){\\n return false;\\n }\\n\\n if(maze[checkPosition.getRow()][checkPosition.getCol()]== WallType.wall){\\n return false;\\n }\\n return true;\\n }\",\n \"public boolean validPosition(Player p, double x, double y) {\\n\\n\\t\\tTile tile = getTile(p, x + p.BOUNDING_BOX_X, y);\\n\\t\\tif (tile == null || !tile.canEnter(p)) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\ttile = getTile(p, x, y + p.BOUNDING_BOX_Y);\\n\\t\\tif (tile == null || !tile.canEnter(p)) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\ttile = getTile(p, x - p.BOUNDING_BOX_X, y);\\n\\t\\tif (tile == null || !tile.canEnter(p)) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\ttile = getTile(p, x, y - p.BOUNDING_BOX_Y);\\n\\t\\tif (tile == null || !tile.canEnter(p)) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\treturn true;\\n\\t}\",\n \"@Model\\n private boolean isValidPosition(double position){\\n\\t if (this.superWorld == null) return (!Double.isNaN(position));\\n\\t else return Helper.isValidDouble(position);\\n }\",\n \"@SuppressWarnings(\\\"ConstantConditions\\\")\\n private boolean isStuck(Position pos, Position posNow) {\\n if (pos.isSimilar(posNow)) {\\n return true;\\n }\\n\\n Instance instance = getInstance();\\n Chunk chunk = null;\\n Collection<Entity> entities = null;\\n\\n /*\\n What we're about to do is to discretely jump from the previous position to the new one.\\n For each point we will be checking blocks and entities we're in.\\n */\\n double part = .25D; // half of the bounding box\\n Vector dir = posNow.toVector().subtract(pos.toVector());\\n int parts = (int) Math.ceil(dir.length() / part);\\n Position direction = dir.normalize().multiply(part).toPosition();\\n for (int i = 0; i < parts; ++i) {\\n // If we're at last part, we can't just add another direction-vector, because we can exceed end point.\\n if (i == parts - 1) {\\n pos.setX(posNow.getX());\\n pos.setY(posNow.getY());\\n pos.setZ(posNow.getZ());\\n } else {\\n pos.add(direction);\\n }\\n BlockPosition bpos = pos.toBlockPosition();\\n Block block = instance.getBlock(bpos.getX(), bpos.getY() - 1, bpos.getZ());\\n if (!block.isAir() && !block.isLiquid()) {\\n teleport(pos);\\n return true;\\n }\\n\\n Chunk currentChunk = instance.getChunkAt(pos);\\n if (currentChunk != chunk) {\\n chunk = currentChunk;\\n entities = instance.getChunkEntities(chunk)\\n .stream()\\n .filter(entity -> entity instanceof LivingEntity)\\n .collect(Collectors.toSet());\\n }\\n /*\\n We won't check collisions with entities for first ticks of arrow's life, because it spawns in the\\n shooter and will immediately damage him.\\n */\\n if (getAliveTicks() < 3) {\\n continue;\\n }\\n Optional<Entity> victimOptional = entities.stream()\\n .filter(entity -> entity.getBoundingBox().intersect(pos.getX(), pos.getY(), pos.getZ()))\\n .findAny();\\n if (victimOptional.isPresent()) {\\n LivingEntity victim = (LivingEntity) victimOptional.get();\\n victim.setArrowCount(victim.getArrowCount() + 1);\\n callEvent(EntityAttackEvent.class, new EntityAttackEvent(this, victim));\\n remove();\\n return super.onGround;\\n }\\n }\\n return false;\\n }\",\n \"public boolean isSpawnPoint() {\\n return isSpawnPoint;\\n }\",\n \"@Test\\n\\tpublic void validSpawn() {\\n\\t\\tGameState gameState = new GameState(1, \\\"assets/maps/map.json\\\");\\n\\t\\tassertTrue(\\\"Should be able to be set to 0,0\\\", gameState.addSpawn(new Location(0, 0)));\\n\\t}\",\n \"public boolean isValid(World world, BlockPos pos, IBlockState state) {\\n return true;\\n }\",\n \"@Override\\n public boolean isLocationValid(XYCoord coords)\\n {\\n return master.isLocationValid(coords);\\n }\",\n \"public boolean shouldExecute()\\n\\t{\\n\\t\\tif (this.entity.getAge() >= 100)\\n\\t\\t{\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\telse if (this.entity.getRNG().nextInt(120) != 0)\\n\\t\\t{\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tVec3d Vec3d = RandomPositionGenerator.findRandomTarget(this.entity, 10, 7);\\n\\n\\t\\t\\tif (Vec3d == null)\\n\\t\\t\\t{\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t\\telse\\n\\t\\t\\t{\\n\\t\\t\\t\\tthis.xPosition = Vec3d.xCoord;\\n\\t\\t\\t\\tthis.yPosition = Vec3d.yCoord;\\n\\t\\t\\t\\tthis.zPosition = Vec3d.zCoord;\\n\\t\\t\\t\\tthis.leapTarget = Vec3d;\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public boolean canMoveTo(Position position){\\n if(position.x > mapSize.x || position.x < 0 || position.y > mapSize.y || position.y < 0){\\n return false;\\n }\\n return !isOccupied(position);\\n }\",\n \"public boolean isSpawn()\\n\\t{\\n\\t\\treturn block == Block.FRUIT_SPAWN || block == Block.GHOST_SPAWN || block == Block.PAC_SPAWN;\\n\\t}\",\n \"@Override\\n public boolean shouldExecute()\\n {\\n if (!this.mustUpdate)\\n {\\n if (this.entity.getRNG().nextInt(this.executionChance) != 0)\\n {\\n return false;\\n }\\n }\\n\\n Vec3d vec3d = RandomPositionGenerator.findRandomTarget(this.entity, 10, 7);\\n int attempts = 0;\\n while (attempts < 10 && entity.getHomePosition().getDistance(vec3d != null ? (int)vec3d.xCoord : (int)entity.posX, vec3d != null ? (int)vec3d.yCoord : (int)entity.posY, vec3d != null ? (int)vec3d.zCoord : (int)entity.posZ) > entity.getMaximumHomeDistance()) {\\n vec3d = RandomPositionGenerator.findRandomTarget(this.entity, 12, 8);\\n attempts++;\\n }\\n\\n if (vec3d == null || attempts >= 10)\\n {\\n return false;\\n }\\n else\\n {\\n this.xPosition = vec3d.xCoord;\\n this.yPosition = vec3d.yCoord;\\n this.zPosition = vec3d.zCoord;\\n this.mustUpdate = false;\\n return true;\\n }\\n }\",\n \"private boolean getValidRespawnPosition(int x, int y, int imageW, int imageH) {\\n\\t\\tRectangle iRect = new Rectangle(x, y, imageW, imageH);\\n\\t\\t// dont spawn on a wall\\n\\t\\tfor (Wall w : wallArray) {\\n\\t\\t\\tRectangle wRect = w.getBounds();\\n\\t\\t\\tif (iRect.intersects(wRect)) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// dont spawn on a powerup\\n\\t\\tfor (Powerup p : powerupArray) {\\n\\t\\t\\tRectangle pRect = p.getBounds();\\n\\t\\t\\tif (iRect.intersects(pRect)) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean canPlaceEntity() {\\n boolean blocked = this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.BLOCKED);\\n if (blocked) return false;\\n\\n return this.mapCoordinatesForEntityToPlace.stream().anyMatch(c -> c.placeableState == PlaceableState.PLACEABLE);\\n }\",\n \"public boolean isSpawnable(Location loc) {\\n Block block = loc.getBlock();\\n Block under = loc.getBlock().getRelative(BlockFace.DOWN);\\n Block above = loc.getBlock().getRelative(BlockFace.UP);\\n if (block.getType().equals(Material.AIR) && !under.getType().equals(Material.AIR) && above.getType().equals(Material.AIR)) {\\n if (block.getLightLevel() <= plugin.CONFIG.SPAWNING_LIGHT) {\\n return true;\\n }\\n }\\n return false;\\n }\",\n \"public void spawnInLattice() throws GameActionException {\\n boolean isMyCurrentSquareGood = checkIfGoodSquare(Cache.CURRENT_LOCATION);\\n\\n // if in danger from muckraker, get out\\n if (runFromMuckrakerMove() != 0) {\\n return;\\n }\\n\\n if (isMyCurrentSquareGood) {\\n currentSquareIsGoodExecute();\\n } else {\\n currentSquareIsBadExecute();\\n }\\n\\n }\",\n \"private final boolean isInsideWorld() {\\n\\t\\t// Check it is inside the world\\n\\t\\tif (x<=0 || y<=0 || x+width>=_world.getWidth() || y+height>=_world.getHeight()) {\\n\\t\\t\\tif (_mass == 0 && alive && x == 0 && y == 0)\\n\\t\\t\\t\\tdie(this);\\n\\t\\t\\t// Adjust direction\\n\\t\\t\\tif (x <= 0 || x + width >= _world.getWidth())\\n\\t\\t\\t\\tdx = -dx;\\n\\t\\t\\tif (y <= 0 || y + height >= _world.getHeight())\\n\\t\\t\\t\\tdy = -dy;\\n\\t\\t\\tdtheta = 0;\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\treturn true;\\n\\t}\",\n \"private Location verifyLocation(Location location)\\n {\\n Block playerBlock = location.getBlock();\\n World world = location.getWorld();\\n\\n if (rootC.getStringList(RootNode.WORLDS).contains(world.getName()))\\n {\\n // Only spawn monsters in normal world. End is crowded with endermen\\n // and nether is too extreme anyway, add config later\\n int lightLvl = location.getBlock().getLightFromSky();\\n if (world.getEnvironment() == Environment.NORMAL\\n && (location.getY() < rootC.getInt(RootNode.MORE_MONSTERS_MAX_Y) && lightLvl < 3))\\n {\\n // the playerBlock should always be air, but if the player stands\\n // on a slab he actually is in the slab, checking a few blocks under because player could have jumped etc..\\n if (playerBlock.getType().equals(Material.AIR))\\n {\\n for (int i = 0; i <= 3; i++)\\n {\\n playerBlock = location.getBlock().getRelative(BlockFace.DOWN, 1);\\n\\n if (playerBlock.getType().equals(Material.AIR))\\n {\\n location.subtract(0, 1, 0);\\n playerBlock = location.getBlock();\\n // the playerBlock is now the block where the monster\\n // should spawn on, next up: verify block\\n }\\n else\\n {\\n break;\\n }\\n }\\n }\\n // no spawning on steps, stairs and transparent blocks\\n if (playerBlock.getType().name().endsWith(\\\"STEP\\\") || playerBlock.getType().name().endsWith(\\\"STAIRS\\\")\\n || playerBlock.getType().isTransparent() || !playerBlock.getType().isOccluding() || playerBlock.getType().equals(Material.AIR))\\n {\\n // don't spawn here\\n return null;\\n }\\n\\n if (quickVerify(location))\\n return location;\\n }\\n\\n }\\n return null;\\n }\",\n \"private static boolean shouldSpawnParticle(World world, BlockPos pos, double x, double y, double z) {\\n if (isLeafBlock(world.getBlockState(pos.down()).getBlock(), true)) return false;\\n\\n double y2 = y - CONFIG.minimumFreeSpaceBelow * 0.5;\\n Box collisionBox = new Box(x - 0.1, y, z - 0.1, x + 0.1, y2, z + 0.1);\\n\\n // Only spawn the particle if there's enough room for it\\n return !world.getBlockCollisions(null, collisionBox).findAny().isPresent();\\n }\",\n \"private boolean canMove(Location location) {\\n if (location == null) return false;\\n return location.getWorld().intersects(this, Util.getRectangle(location, size)) == null && location.getY() >= 0 && location.getX() >= 0;\\n }\",\n \"private boolean isValidPosition(Point pos){\\r\\n return (0 <= pos.getFirst() && pos.getFirst() < 8 && \\r\\n 0 <= pos.getSecond() && pos.getSecond() < 8);\\r\\n }\",\n \"@Test\\n\\tpublic void invalidSpawn_2() {\\n\\t\\tGameState gameState = new GameState(1, \\\"assets/maps/map.json\\\");\\n\\t\\tSquare[][] board = gameState.getBoard();\\n\\t\\tassertFalse(\\\"Should not be able to add off the board\\\", gameState.addSpawn(new Location(board[0].length, 0)));\\n\\t}\",\n \"public boolean enemyOutOfBounds() {\\n return (position.x < 0\\n || position.x + TYPE_A_WIDTH > World.WORLD_WIDTH\\n || position.y < 0\\n || position.y + TYPE_A_HEIGHT > World.WORLD_HEIGHT);\\n }\",\n \"@Override\\n public boolean isValid() {\\n if(width < 0){\\n return false;\\n }\\n\\n if(height < 0){\\n return false;\\n }\\n\\n //no null objects\\n if(origin == null){\\n return false;\\n }\\n\\n if(color == null){\\n return false;\\n }\\n\\n //if texture doesn't exist, sprite is not buildable\\n if(!Gdx.files.internal(texture).exists()){\\n Gdx.app.log(TAG, \\\"Texture cannot be found: \\\" + texture);\\n return false;\\n }\\n\\n return true;\\n }\",\n \"public boolean hasValidPoint() {\\n return mPoint.x != 0 || mPoint.y != 0;\\n }\",\n \"public boolean canMoveTo(Position position){\\n return !isOccupied(position);\\n }\",\n \"private boolean spawn(int x, int y) {\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean checkRep() {\\n return location.x() >= 0 && location.x() < board.getWidth() && \\n location.y() >= 0 && location.y() < board.getHeight(); \\n }\",\n \"public boolean isOuterSpawn(Location loc) {\\n\\t\\treturn RegionManager.get().hasTag(loc, \\\"outer-spawn\\\");\\n\\n\\t}\",\n \"private boolean legalMove() {\\n\\n\\t\\t// empty landing spot\\n\\t\\tif (tilePath.size() == 0) {\\n\\t\\t\\tdebug(\\\"illegal, empty landing spot\\\");\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\tif (!mBoard.tileIsEmpty(tilePath.get(tilePath.size() - 1))) {\\n\\t\\t\\tdebug(\\\"illegal, tile not empty\\\");\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\t// start doesn't equal end\\n\\t\\tif (tilePath.get(0).equals(tilePath.get(tilePath.size() - 1))) {\\n\\t\\t\\tdebug(\\\"illegal, start doesn't equal end\\\");\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\treturn true;\\n\\t}\",\n \"public boolean hasLocation()\\n {\\n return targetLocation != null;\\n }\",\n \"public boolean checkWorld(Entity entity) {\\r\\n return entity.getWorld() == worldFrom;\\r\\n }\",\n \"public boolean isValidPlacementSpot() {\\n return isEmpty() && ! getNeighbours().stream().allMatch(Spot::isEmpty);\\n }\",\n \"@Test\\n public void testIsPositionValid() {\\n assertFalse(this.board.isPositionValid(new Position(-1, -1)));\\n assertFalse(this.board.isPositionValid(new Position(11, 11)));\\n for (int line = 0; line < 11; line++) {\\n for (int column = 0; column < 11; column++) {\\n assertTrue(this.board.isPositionValid(new Position(line, column)));\\n }\\n }\\n }\",\n \"public boolean canMove(Location loc){\\n if(loc.getX() >= theWorld.getX() || loc.getX() < 0){\\n System.out.println(\\\"cant move1\\\");\\n return false;\\n }else if(loc.getY() >= theWorld.getY() || loc.getY() < 0){\\n System.out.println(\\\"cant move2\\\");\\n return false;\\n }else{\\n System.out.println(\\\"can move\\\");\\n return true;\\n }\\n }\",\n \"protected static boolean checkStartPos(Level level, int x, int y, int playerDist, int soloRadius) {\\r\\n\\t\\tif (level.player != null) {\\r\\n\\t\\t\\tint xd = level.player.x - x;\\r\\n\\t\\t\\tint yd = level.player.y - y;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tif (xd * xd + yd * yd < playerDist * playerDist) return false;\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tint r = level.monsterDensity * soloRadius; // get no-mob radius\\r\\n\\t\\t\\r\\n\\t\\tif (level.getEntities(x - r, y - r, x + r, y + r).size() > 0) return false;\\r\\n\\t\\t\\r\\n\\t\\treturn level.getTile(x >> 4, y >> 4).maySpawn; // the last check.\\r\\n\\t}\",\n \"protected boolean shouldMoveTo(World worldIn, BlockPos pos)\\n {\\n Block block = worldIn.getBlockState(pos).getBlock();\\n\\n if (block == Blocks.FARMLAND)\\n {\\n pos = pos.up();\\n IBlockState iblockstate = worldIn.getBlockState(pos);\\n block = iblockstate.getBlock();\\n\\n if (block instanceof BlockCrops && this.wantsToReapStuff && (this.currentTask == 0 || this.currentTask < 0))\\n {\\n this.currentTask = 0;\\n return true;\\n }\\n\\n }\\n\\n return false;\\n }\",\n \"protected boolean shouldMoveTo(World worldIn, BlockPos pos) {\\n Block block = worldIn.getBlockState(pos).getBlock();\\n\\n if (block == Blocks.FARMLAND) {\\n pos = pos.up();\\n IBlockState iblockstate = worldIn.getBlockState(pos);\\n block = iblockstate.getBlock();\\n\\n if (block instanceof BlockCropPinto && ((BlockCropPinto) block).isMaxAge(iblockstate) && this.wantsToReapStuff && (this.currentTask == 0 || this.currentTask < 0)) {\\n this.currentTask = 0;\\n return true;\\n }\\n\\n if (iblockstate.getMaterial() == Material.AIR && this.hasFarmItem && (this.currentTask == 1 || this.currentTask < 0)) {\\n this.currentTask = 1;\\n return true;\\n }\\n }\\n return false;\\n }\",\n \"public boolean check() {\\n return StuffUtils.equal(structure, SpigotUtils.structBetweenTwoLocations(pos1, pos2, material));\\n }\",\n \"public boolean shouldExecute() {\\n\\t\\t\\tEntityMoveHelper entitymovehelper = this.parentEntity.getMoveHelper();\\n\\n\\t\\t\\tif (!entitymovehelper.isUpdating()) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tdouble d0 = entitymovehelper.getX() - this.parentEntity.posX;\\n\\t\\t\\t\\tdouble d1 = entitymovehelper.getY() - this.parentEntity.posY;\\n\\t\\t\\t\\tdouble d2 = entitymovehelper.getZ() - this.parentEntity.posZ;\\n\\t\\t\\t\\tdouble d3 = d0 * d0 + d1 * d1 + d2 * d2;\\n\\t\\t\\t\\treturn d3 < 1.0D || d3 > 3600.0D;\\n\\t\\t\\t}\\n\\t\\t}\",\n \"public boolean canMove (Location loc) {\\n Grid<Actor> gr = getGrid();\\n if (gr == null)\\n return false;\\n if (!gr.isValid(loc))\\n return false;\\n Actor neighbor = gr.get(loc);\\n return !(neighbor instanceof Wall);\\n }\",\n \"private Vector2d checkOutOfBounds(Vector2d position) {\\n\\t\\t//Check for x\\n\\t\\tif (position.x < 0) position.x = 0;\\n\\t\\tif (position.x > course.TERRAIN_SIZE) position.x = course.TERRAIN_SIZE;\\n\\t\\t//Check for y\\n\\t\\tif (position.y < 0) position.y = 0;\\n\\t\\tif (position.y > course.TERRAIN_SIZE) position.y = course.TERRAIN_SIZE;\\n\\n\\t\\treturn new Vector2d(position.x,position.y);\\n\\t}\",\n \"boolean isGoodLocation(World world, int x, int y, int z);\",\n \"public boolean isValidPosition(Position pos){\\n\\t\\t// check whether the specified position is a valid position for the board\\n\\t\\t// return true for valid positions and false for invalid ones\\n\\t\\t// O(1)\\n\\t\\tif((pos.getRow() >= 0 && pos.getRow() <= numRows) && (pos.getCol() >= 0 && pos.getCol() <= numCols)) { //If the row and columns are within the bounds then it returns true\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean validPlacement(double x, double y) {\\n\\t\\treturn myEngineManager.validateTower(x, y);\\n\\t}\",\n \"protected boolean spawn(int x, int y) {\\r\\n\\t\\t/* Create a new message, notifying the board\\r\\n\\t\\t * the unit has actually spawned at the\\r\\n\\t\\t * designated position. \\r\\n\\t\\t */\\r\\n\\t\\t\\r\\n\\t\\tint id = localMessageCounter++;\\r\\n\\t\\tMessage spawnMessage = new Message();\\r\\n\\t\\tspawnMessage.put(\\\"request\\\", MessageRequest.spawnUnit);\\r\\n\\t\\tspawnMessage.put(\\\"x\\\", x);\\r\\n\\t\\tspawnMessage.put(\\\"y\\\", y);\\r\\n\\t\\tspawnMessage.put(\\\"unit\\\", (IUnit) this);\\r\\n\\t\\tspawnMessage.put(\\\"id\\\", id);\\r\\n\\t\\tspawnMessage.put(\\\"origin\\\", \\\"D\\\" + unitID);\\r\\n\\t\\t\\r\\n\\t\\t// Send a spawn message\\r\\n\\t\\tif (!sendAndWait(spawnMessage))\\r\\n\\t\\t\\treturn false;\\r\\n\\t\\t\\r\\n\\t\\tMessage response = messageList.remove(id);\\r\\n\\r\\n\\t\\t// Wait for the unit to be placed\\r\\n\\t\\treturn (Boolean) response.get(\\\"committed\\\");\\r\\n\\t}\",\n \"@Override\\n\\tpublic boolean isLegalMove(Square newPosition) {\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean isValid() {\\n\\t\\treturn (x >= 0 && x < Board.SIZE && y >= 0 && y < Board.SIZE);\\n\\t}\",\n \"public boolean checkItem () {\\r\\n\\t\\tfor (Entity e : getLocation().getWorld().getEntities())\\r\\n\\t\\t{\\r\\n\\t\\t\\tdouble x = e.getLocation().getX();\\r\\n\\t\\t\\tdouble z = e.getLocation().getZ();\\r\\n\\t\\t\\tdouble yDiff = getSpawnLocation().getY() - e.getLocation().getY();\\r\\n \\r\\n\\t\\t\\tif (yDiff < 0)\\r\\n\\t\\t\\t\\tyDiff *= -1;\\r\\n\\r\\n\\t\\t\\tif (x == getSpawnLocation().getX() && yDiff <= 1.5 && z == getSpawnLocation().getZ()) {\\r\\n \\r\\n ShowCaseStandalone.slog(Level.FINEST, \\\"Potential hit on checkItem()\\\");\\r\\n\\t\\t\\t\\ttry {\\r\\n\\t\\t\\t\\t\\tItem itemE = (Item)e;\\r\\n\\t\\t\\t\\t\\tif (ItemStackHandler.itemsEqual(itemE.getItemStack(), getItemStack(), true)) {\\r\\n ShowCaseStandalone.slog(Level.FINEST, \\\"Existing stack: \\\" + itemE.getItemStack().toString());\\r\\n itemE.getItemStack().setAmount(1); //Removes duped items, which can occur.\\r\\n\\t\\t\\t\\t\\t\\tthis.item = itemE;\\r\\n\\t\\t\\t\\t\\t\\tscs.log(Level.FINER, \\\"Attaching to existing item.\\\");\\r\\n\\t\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t} catch (Exception ex) {}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"private boolean isValidCoordinate(int x, int y) {\\n return x >= 0 && x < gameState.mapSize\\n && y >= 0 && y < gameState.mapSize;\\n }\",\n \"public boolean shouldExecute()\\n {\\n if (field_46105_a.getRNG().nextFloat() >= field_48294_e)\\n {\\n return false;\\n }\\n\\n if (field_48293_f == (net.minecraft.src.EntityPlayer.class))\\n {\\n closestEntity = field_46105_a.worldObj.getClosestPlayerToEntity(field_46105_a, field_46101_d);\\n }\\n else\\n {\\n closestEntity = field_46105_a.worldObj.findNearestEntityWithinAABB(field_48293_f, field_46105_a.boundingBox.expand(field_46101_d, 3D, field_46101_d), field_46105_a);\\n }\\n\\n return closestEntity != null;\\n }\",\n \"public boolean someLegalPos() {\\n return !legalPos.isEmpty();\\n }\",\n \"@Override\\r\\n\\tpublic boolean isNodeValid() {\\n\\t\\treturn (SKILLS.HITPOINTS.getActualLevel() >= 25\\r\\n\\t\\t\\t\\t&& SKILLS.THIEVING.getActualLevel() >= 28\\r\\n\\t\\t\\t\\t&& Inventory.getCount(\\\"Coins\\\") >= 30 && (Location.karamjaFirstStepCheck.atLocation(Player.getPosition()) ||Location.karamjaBoatLandTile.equals(Player.getPosition()) ));\\r\\n\\t}\",\n \"private boolean isViewerPositionInvalid(ViewerPosition3D position)\\n {\\n Vector3d location = new Vector3d(position.getLocation());\\n double terrainTolerance = TERRAIN_SAFETY_TOLERANCE;\\n if (position.getGeoPosition() != null && position.getGeoPosition().getAlt().getReferenceLevel() != ReferenceLevel.TERRAIN)\\n {\\n terrainTolerance *= 10;\\n }\\n\\n if (!myMapContext.getProjection().isOutsideModel(location.add(location.multiply(terrainTolerance)))\\n || Math.abs(location.getX()) > ourMaxOriginDistance\\n || Math.abs(location.getY()) > ourMaxOriginDistance\\n || Math.abs(location.getZ()) > ourMaxOriginDistance)\\n {\\n return true;\\n }\\n\\n return false;\\n }\",\n \"public boolean continueExecuting()\\n\\t{\\n\\t\\treturn this.entity.posX != this.xPosition && this.yPosition != this.entity.posY && this.entity.posZ != this.zPosition;\\n\\t}\",\n \"boolean haveAnySpawn();\",\n \"public boolean getCanSpawnHere()\\n {\\n return this.isValidLightLevel() && super.getCanSpawnHere();\\n }\",\n \"private Point getSafeTeleportPosition() {\\n\\t\\tRandom number \\t= new Random();\\n\\t\\tPoint p\\t\\t\\t= new Point();\\n\\t\\twhile(true) {\\n\\t\\t\\tint x\\t\\t= number.nextInt(rows-1);\\t\\n\\t\\t\\tint y\\t\\t= number.nextInt(cols-1);\\n\\t\\t\\tp.x\\t\\t\\t= x;\\n\\t\\t\\tp.y\\t\\t\\t= y;\\n\\t\\t\\t\\n\\t\\t\\t//if the point isn't in the array\\n\\t\\t\\tif(!occupiedPositions.contains(p)) {\\n\\t\\t\\t\\t//check the surrounding of the point, need to be a \\\"safe teleport\\\"\\n\\t\\t\\t\\tif(checkSurroundingOfPoint(p)) {\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn p;\\n\\t}\",\n \"boolean canMoveTo(Vector2d position);\",\n \"@Override\\n\\t\\t\\t\\tpublic boolean validEntity(Entity me, Entity other) {\\n\\t\\t\\t\\t\\tif(Mappers.status.get(me).same(Mappers.status.get(other))) return false;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tFacingComponent facingComp = Mappers.facing.get(me);\\n\\t\\t\\t\\t\\tBody myBody = Mappers.body.get(me).body;\\n\\t\\t\\t\\t\\tBody otherBody = Mappers.body.get(other).body;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tfloat xOff = facingComp.facingRight ? 0.5f : -0.5f;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tfloat myX = myBody.getPosition().x + xOff;\\n\\t\\t\\t\\t\\tfloat myY = myBody.getPosition().y;\\n\\t\\t\\t\\t\\tfloat otherX = otherBody.getPosition().x;\\n\\t\\t\\t\\t\\tfloat otherY = otherBody.getPosition().y;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tfloat minX = 0.0f;\\n\\t\\t\\t\\t\\tfloat maxX = minX + range;\\n\\t\\t\\t\\t\\tfloat yRange = 0.9f;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// Construct box in front of you\\n\\t\\t\\t\\t\\tfloat closeX = facingComp.facingRight ? myX + minX : myX - minX;\\n\\t\\t\\t\\t\\tfloat farX = facingComp.facingRight ? myX + maxX : myX - maxX;\\n\\t\\t\\t\\t\\tfloat top = myY + yRange;\\n\\t\\t\\t\\t\\tfloat bottom = myY - yRange;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tDebugRender.setType(ShapeType.Line);\\n\\t\\t\\t\\t\\tDebugRender.setColor(Color.CYAN);\\n\\t\\t\\t\\t\\tDebugRender.rect(facingComp.facingRight ? closeX : farX, bottom, Math.abs(farX - closeX), top - bottom, 1.0f);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tRectangle kick = new Rectangle(Math.min(closeX, farX), bottom, Math.abs(closeX - farX), top - bottom);\\n\\t\\t\\t\\t\\tRectangle enemy = new Rectangle(Mappers.body.get(other).getAABB());\\n\\t\\t\\t\\t\\tenemy.x = otherX - enemy.width * 0.5f;\\n\\t\\t\\t\\t\\tenemy.y = otherY - enemy.height * 0.5f;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\treturn kick.overlaps(enemy);\\n//\\t\\t\\t\\t\\treturn (((facingComp.facingRight && otherX >= closeX && otherX <= farX) || (!facingComp.facingRight && otherX >= farX && otherX <= closeX)) && otherY <= top && otherY >= bottom);\\n\\t\\t\\t\\t}\",\n \"@java.lang.Override\\n public boolean hasPosition() {\\n return position_ != null;\\n }\",\n \"@java.lang.Override\\n public boolean hasPosition() {\\n return position_ != null;\\n }\",\n \"@Override\\n public boolean isTransforming() {\\n return super.isTransforming() || desiredWorldPosition != null;\\n }\",\n \"public abstract boolean canMoveTo(Case Location);\",\n \"public boolean hasPosition() {\\n return positionBuilder_ != null || position_ != null;\\n }\",\n \"public boolean hasPosition() {\\n return positionBuilder_ != null || position_ != null;\\n }\",\n \"private Point getUnsafeTeleportPosition() {\\n\\t\\tRandom number \\t= new Random();\\n\\t\\tPoint p \\t\\t= new Point();\\n\\t\\t\\n\\t\\twhile(true) {\\n\\t\\t\\tint x\\t\\t= number.nextInt(rows-1);\\t\\n\\t\\t\\tint y\\t\\t= number.nextInt(cols-1);\\n\\t\\t\\tp.x\\t\\t\\t= x;\\n\\t\\t\\tp.y\\t\\t\\t= y;\\n\\t\\t\\t\\n\\t\\t\\t// position isn't occupied\\n\\t\\t\\tif(!occupiedPositions.contains(p))\\n\\t\\t\\t\\tbreak;\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn p;\\n\\t}\",\n \"public synchronized boolean isInPosition(){\\r\\n\\t\\tSystem.out.println(\\\"wheel: \\\" + flywheel.isFlywheelAtSpeed() + \\r\\n\\t\\t\\t\\t\\\" hood: \\\" + hood.isInPosition() + \\r\\n\\t\\t\\t\\t\\\" turret: \\\" + turret.isInPosition() + \\r\\n\\t\\t\\t\\t\\\" kicker: \\\" + kicker.isInPosition());\\r\\n\\t\\treturn flywheel.isFlywheelAtSpeed() && \\r\\n\\t\\t\\t\\thood.isInPosition() && \\r\\n\\t\\t\\t\\tturret.isInPosition() && \\r\\n\\t\\t\\t\\tkicker.isInPosition();\\r\\n\\t}\",\n \"public boolean canMove() {\\n\\n\\tArrayList<Location> moveLocs = getValid(getLocation());\\n\\n\\tif (isEnd == true) {\\n\\t return false;\\n\\t} \\n\\tif (!moveLocs.isEmpty()) {\\n\\t \\n\\t randomSelect(moveLocs);\\n\\t // selectMoveLocation(moveLocs);\\n\\t return true;\\n\\n\\t} else {\\n\\t return false;\\n\\t}\\n }\",\n \"@Test\\n public void shouldBeAbleToCreatePiecePosition() {\\n Assert.assertNotNull(position);\\n }\",\n \"Spawn(LatLng position) {\\n this.position = position;\\n return;\\n }\",\n \"public void verifyInPlanet() {\\n if (!this.isInPlanet())\\n return;\\n if (this.getPosition().dst2(this.getPlanet().getPosition()) > maximumAllowedDistance) {\\n this.removeFromPlanet();\\n this.setState(new FloatState(this.state.getTime()));\\n }\\n }\",\n \"public static void spawnByLoc(WorldPosition pos)\\n\\t{\\n\\t\\tfor (Entry<WorldPosition, FastList<SpawnTemplate>> spawnpos : spawnsByPosition.entrySet())\\n\\t\\t{\\n\\t\\t\\tif (spawnpos.getKey().getX() == pos.getX() && spawnpos.getKey().getY() == pos.getY() && spawnpos.getKey().getZ() == pos.getZ())\\n\\t\\t\\t{\\n\\t\\t\\t\\t//found = true;\\n\\t\\t\\t\\tint index = Rnd.get(0,(spawnpos.getValue().size()-1));\\n\\t\\t\\t\\tfinal SpawnTemplate st = spawnpos.getValue().get(index);\\n\\t\\t\\t\\tint respawntime = 295;\\n\\t\\t ThreadPoolManager.getInstance().schedule(new Runnable() \\n\\t\\t {\\n\\t\\t @Override\\n\\t\\t public void run() \\n\\t\\t {\\n\\t\\t \\tspawn(st);\\n\\t\\t }\\t\\t \\n\\t\\t }, respawntime * 1000);\\t\\t\\t\\t\\n\\t\\t\\t} \\t\\t\\t\\n\\t\\t} \\n\\t\\t//if (!found) log.warn(\\\"Didn't found Location for \\\"+pos.toString());\\n\\t}\",\n \"boolean hasPosition();\",\n \"boolean hasPosition();\",\n \"boolean hasPosition();\",\n \"boolean hasPosition();\",\n \"private Location generateRandomStartLocation() {\\n\\t\\tif (!atLeastOneNonWallLocation()) {\\n\\t\\t\\tthrow new IllegalStateException(\\n\\t\\t\\t\\t\\t\\\"There is no free tile available for the player to be placed\\\");\\n\\t\\t}\\n\\n\\t\\twhile (true) {\\n\\t\\t\\t// Generate a random location\\n\\t\\t\\tfinal Random random = new Random();\\n\\t\\t\\tfinal int randomRow = random.nextInt(this.map.getMapHeight());\\n\\t\\t\\tfinal int randomCol = random.nextInt(this.map.getMapWidth());\\n\\n\\t\\t\\tfinal Location location = new Location(randomCol, randomRow);\\n\\n\\t\\t\\tif (this.map.getMapCell(location).isWalkable()\\n\\t\\t\\t\\t\\t&& !otherPlayerOnTile(location, -1)) {\\n\\t\\t\\t\\t// If it's not a wall then we can put them there\\n\\t\\t\\t\\treturn location;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public boolean shouldExecute() {\\n LivingEntity livingentity = ShulkerEntity.this.getAttackTarget();\\n if (livingentity != null && livingentity.isAlive()) {\\n return ShulkerEntity.this.world.getDifficulty() != Difficulty.PEACEFUL;\\n } else {\\n return false;\\n }\\n }\",\n \"public static boolean validLocation(AbstractCard c) {\\n return AbstractDungeon.player.hand.contains(c) ||\\n AbstractDungeon.player.drawPile.contains(c) ||\\n AbstractDungeon.player.discardPile.contains(c) ||\\n AbstractDungeon.player.exhaustPile.contains(c);\\n }\",\n \"public Location getSpawnLocation() {\\n return this.spawnLocation;\\n }\",\n \"@Override\\n protected void checkLocation() {\\n // nothing\\n }\",\n \"protected boolean teleportToEntity(Entity entity) {\\n Vec3 vector = Vec3.createVectorHelper(this.posX - entity.posX, this.boundingBox.minY + this.height / 2.0F - entity.posY + entity.getEyeHeight(), this.posZ - entity.posZ);\\n vector = vector.normalize();\\n double x = this.posX + (this.rand.nextDouble() - 0.5) * 8.0 - vector.xCoord * 16.0;\\n double y = this.posY + (this.rand.nextInt(16) - 8) - vector.yCoord * 16.0;\\n double z = this.posZ + (this.rand.nextDouble() - 0.5) * 8.0 - vector.zCoord * 16.0;\\n return this.teleportTo(x, y, z);\\n }\",\n \"private boolean placeNear(Organism parent) {\\n\\t\\tint nPos = Utils.random.nextInt(8);\\n\\t\\t// Try to put it in any possible position, starting from a randomly chosen one.\\n\\t\\tfor (int nSide = 0; nSide < 8; nSide++) {\\n\\t\\t\\t// Calculate candidate position\\n\\t\\t\\t_dCenterX = parent._dCenterX + (parent.width / 2 + width / 2+ 1) * Utils.side[nPos][0]; \\n\\t\\t\\t_dCenterY = parent._dCenterY + (parent.height / 2 + height / 2 + 1) * Utils.side[nPos][1];\\n\\t\\t\\t_centerX = (int) _dCenterX;\\n\\t\\t\\t_centerY = (int) _dCenterY;\\n\\t\\t\\tcalculateBounds(true);\\n\\t\\t\\t// Check this position is inside the world.\\n\\t\\t\\tif (isInsideWorld()) {\\n\\t\\t\\t\\t// Check that it doesn't overlap with other organisms.\\n\\t\\t\\t\\tif (_world.fastCheckHit(this) == null) {\\n\\t\\t\\t\\t\\tif (parent._geneticCode.getDisperseChildren()) {\\n\\t\\t\\t\\t\\t\\tdx = Utils.side[nPos][0];\\n\\t\\t\\t\\t\\t\\tdy = Utils.side[nPos][1];\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\tdx = parent.dx;\\n\\t\\t\\t\\t\\t\\tdy = parent.dy;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t// Generate an identification\\n\\t\\t\\t\\t\\t_ID = _world.getNewId();\\n\\t\\t\\t\\t\\t// Substract the energy from the parent\\n\\t\\t\\t\\t\\tparent._energy -= _energy;\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tnPos = (nPos + 1) % 8;\\n\\t\\t}\\n\\t\\t// It can't be placed.\\n\\t\\treturn false;\\n\\t}\",\n \"public Boolean isValidMovement(int x, int y){\\n\\t\\tif ( x < 0 || x > 7 || y < 0 || y > 7 \\n\\t\\t\\t\\t|| this.board.getPiece(x, y).getColor().equalsIgnoreCase(this.color))\\n\\t\\t\\treturn false;\\n\\t\\t\\n\\t\\tint distX = Math.abs(this.posX - x);\\n\\t\\tint distY = Math.abs(this.posY - y);\\n\\t\\t\\n\\t\\tif (distX != distY)\\n\\t\\t\\treturn false;\\n\\t\\t\\n\\t\\tif (this.posX > x && this.posY > y){\\n\\t\\t\\tfor (int i = 1; i < distX ; i ++){\\n\\t\\t\\t\\tif (!this.board.getPiece(this.posX - i, this.posY - i).isEmpty())\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\t\\n\\t\\tif (this.posX < x && this.posY > y){\\n\\t\\t\\tfor (int i = 1; i < distX ; i ++){\\n\\t\\t\\t\\tif (!this.board.getPiece(this.posX + i, this.posY - i).isEmpty())\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\t\\n\\t\\tif (this.posX > x && this.posY < y){\\n\\t\\t\\tfor (int i = 1; i < distX ; i ++){\\n\\t\\t\\t\\tif (!this.board.getPiece(this.posX - i, this.posY + i).isEmpty())\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\t\\n\\t\\tif (this.posX < x && this.posY < y){\\n\\t\\t\\tfor (int i = 1; i < distX ; i ++){\\n\\t\\t\\t\\tif (!this.board.getPiece(this.posX + i, this.posY + i).isEmpty())\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn false;\\n\\t}\",\n \"public static boolean isValid(Location l)\\n\\t{\\n\\t\\treturn l != null || Maze.isInBounds(l);\\n\\t}\",\n \"@Override\\n\\tpublic boolean shouldExecute() {\\n\\t\\tif (!theEntity.isTamed())\\n\\t\\t\\treturn false;\\n\\t\\telse if (theEntity.isInWater())\\n\\t\\t\\treturn false;\\n\\t\\telse if (!theEntity.onGround)\\n\\t\\t\\treturn false;\\n\\t\\telse {\\n\\t\\t\\tfinal EntityLivingBase var1 = theEntity.getOwner();\\n\\t\\t\\treturn var1 == null ? true\\n\\t\\t\\t\\t\\t: theEntity.getDistanceSqToEntity(var1) < 144.0D\\n\\t\\t\\t\\t\\t\\t\\t&& var1.getAITarget() != null ? false : isSitting;\\n\\t\\t}\\n\\t}\",\n \"@Override\\n\\tpublic void spawn(Location loc) {\\n\\t\\t\\n\\t}\",\n \"public Enemy spawn(float playerXPos)\\n {\\n if (spawned || playerXPos + spawnDistance < x)\\n {\\n return null;\\n }\\n else\\n {\\n spawned = true;\\n \\n myEnemy.reset();\\n myEnemy.setPosition(x, y);\\n return myEnemy;\\n }\\n }\",\n \"private boolean isNearToEndPosition() {\\n switch (direction) {\\n case UP:\\n return posY <= endPosition;\\n case DOWN:\\n return posY >= endPosition;\\n case LEFT:\\n return posX <= endPosition;\\n case RIGHT:\\n return posX >= endPosition;\\n }\\n throw new RuntimeException(\\\"Unknown position\\\");\\n }\",\n \"public boolean isPosValid(int x, int y, int tokNum, int rotNum) {\\n int [] xArray = xRotations[tokNum][rotNum];\\n int [] yArray = yRotations[tokNum][rotNum];\\n \\n for (int i = 0; i < 4; i++) {\\n \\n //Positions to check \\n int xIndex = x+xArray[i];\\n int yIndex = y+yArray[i];\\n \\n //Check range\\n if (xIndex < 0) return false;\\n if (xIndex >= 10) return false;\\n if (yIndex < 0) return false;\\n if (yIndex >= 20) return false;\\n \\n //Check to see if space is occupied\\n if (gameBoard[xIndex][yIndex] == 1) return false;\\n }\\n\\n return true;\\n }\",\n \"protected boolean setBlockIfValid(World world, BlockPos pos, IBlockState state) {\\n\\t\\tif(world.getBlockState(pos).getBlockHardness(world, pos) >= 0) {\\n\\t\\t\\tthis.setBlockAndNotifyAdequately(world, pos, state);\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"@Test\\n\\tpublic void invalidSpawn_1() {\\n\\t\\tGameState gameState = new GameState(1, \\\"assets/maps/map.json\\\");\\n\\t\\tassertFalse(\\\"Should not be able to add null\\\", gameState.addSpawn(null));\\n\\t}\",\n \"boolean hasTargetPos();\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.69288224","0.68893385","0.6837175","0.67701966","0.67416394","0.66756684","0.6648431","0.6585194","0.6575402","0.65661234","0.65261346","0.64639556","0.6452394","0.6342884","0.63169175","0.6314182","0.62825537","0.626334","0.6239614","0.622464","0.62202275","0.62033254","0.61735415","0.6168275","0.61448264","0.6142121","0.61345035","0.61299914","0.61261547","0.61169374","0.6106707","0.6096804","0.6066665","0.60641617","0.6028489","0.6027484","0.60255843","0.6021204","0.6012508","0.6002204","0.59898853","0.59850687","0.59849316","0.5980687","0.5973968","0.59604555","0.5959933","0.59456766","0.5939982","0.5931688","0.5931575","0.5927086","0.5912344","0.58832103","0.58661616","0.58624405","0.5859759","0.58472735","0.5842136","0.5828097","0.58250844","0.581657","0.5815937","0.5805684","0.5798516","0.57922184","0.578811","0.57827216","0.57827216","0.57763803","0.5765402","0.57590044","0.57590044","0.575278","0.57507557","0.5739502","0.5726444","0.5726053","0.5713542","0.57094204","0.5704633","0.5704633","0.5704633","0.5704633","0.5704273","0.56964946","0.56882995","0.56877995","0.5684172","0.56753415","0.56685525","0.56604165","0.565873","0.56577015","0.56564116","0.56505394","0.56503254","0.5644635","0.56400126","0.5637267","0.56293607"],"string":"[\n \"0.69288224\",\n \"0.68893385\",\n \"0.6837175\",\n \"0.67701966\",\n \"0.67416394\",\n \"0.66756684\",\n \"0.6648431\",\n \"0.6585194\",\n \"0.6575402\",\n \"0.65661234\",\n \"0.65261346\",\n \"0.64639556\",\n \"0.6452394\",\n \"0.6342884\",\n \"0.63169175\",\n \"0.6314182\",\n \"0.62825537\",\n \"0.626334\",\n \"0.6239614\",\n \"0.622464\",\n \"0.62202275\",\n \"0.62033254\",\n \"0.61735415\",\n \"0.6168275\",\n \"0.61448264\",\n \"0.6142121\",\n \"0.61345035\",\n \"0.61299914\",\n \"0.61261547\",\n \"0.61169374\",\n \"0.6106707\",\n \"0.6096804\",\n \"0.6066665\",\n \"0.60641617\",\n \"0.6028489\",\n \"0.6027484\",\n \"0.60255843\",\n \"0.6021204\",\n \"0.6012508\",\n \"0.6002204\",\n \"0.59898853\",\n \"0.59850687\",\n \"0.59849316\",\n \"0.5980687\",\n \"0.5973968\",\n \"0.59604555\",\n \"0.5959933\",\n \"0.59456766\",\n \"0.5939982\",\n \"0.5931688\",\n \"0.5931575\",\n \"0.5927086\",\n \"0.5912344\",\n \"0.58832103\",\n \"0.58661616\",\n \"0.58624405\",\n \"0.5859759\",\n \"0.58472735\",\n \"0.5842136\",\n \"0.5828097\",\n \"0.58250844\",\n \"0.581657\",\n \"0.5815937\",\n \"0.5805684\",\n \"0.5798516\",\n \"0.57922184\",\n \"0.578811\",\n \"0.57827216\",\n \"0.57827216\",\n \"0.57763803\",\n \"0.5765402\",\n \"0.57590044\",\n \"0.57590044\",\n \"0.575278\",\n \"0.57507557\",\n \"0.5739502\",\n \"0.5726444\",\n \"0.5726053\",\n \"0.5713542\",\n \"0.57094204\",\n \"0.5704633\",\n \"0.5704633\",\n \"0.5704633\",\n \"0.5704633\",\n \"0.5704273\",\n \"0.56964946\",\n \"0.56882995\",\n \"0.56877995\",\n \"0.5684172\",\n \"0.56753415\",\n \"0.56685525\",\n \"0.56604165\",\n \"0.565873\",\n \"0.56577015\",\n \"0.56564116\",\n \"0.56505394\",\n \"0.56503254\",\n \"0.5644635\",\n \"0.56400126\",\n \"0.5637267\",\n \"0.56293607\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":32589,"cells":{"query":{"kind":"string","value":"TODO Autogenerated method stub"},"document":{"kind":"string","value":"@Override\r\n public ItemStack getCurrentArmor(int slotIn)\r\n {\n return null;\r\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}","@Override\n\tpublic void comer() {\n\t\t\n\t}","@Override\n public void perish() {\n \n }","@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}","@Override\n\tpublic void anular() {\n\n\t}","@Override\n\tprotected void getExras() {\n\n\t}","@Override\r\n\tpublic void anularFact() {\n\t\t\r\n\t}","@Override\n\tpublic void entrenar() {\n\t\t\n\t}","@Override\n\tpublic void nadar() {\n\t\t\n\t}","@Override\r\n\tpublic void tires() {\n\t\t\r\n\t}","@Override\r\n\t\t\tpublic void ayuda() {\n\r\n\t\t\t}","@Override\n\tprotected void interr() {\n\t}","@Override\n\tpublic void emprestimo() {\n\n\t}","@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}","@Override\n\tpublic void grabar() {\n\t\t\n\t}","@Override\n\tpublic void gravarBd() {\n\t\t\n\t}","@Override\r\n\tpublic void rozmnozovat() {\n\t}","@Override\r\n\tpublic void dormir() {\n\t\t\r\n\t}","@Override\n protected void getExras() {\n }","@Override\r\n\tpublic void publierEnchere() {\n\t\t\r\n\t}","@Override\n\tpublic void nefesAl() {\n\n\t}","@Override\n\tpublic void ligar() {\n\t\t\n\t}","@Override\n public void func_104112_b() {\n \n }","@Override\n\tprotected void initdata() {\n\n\t}","@Override\n\tpublic void nghe() {\n\n\t}","@Override\n public void function()\n {\n }","@Override\n public void function()\n {\n }","public final void mo51373a() {\n }","@Override\r\n\tpublic void stehReagieren() {\r\n\t\t//\r\n\t}","@Override\n public void inizializza() {\n\n super.inizializza();\n }","@Override\n\tprotected void initData() {\n\t\t\n\t}","@Override\r\n\t\tpublic void init() {\n\t\t\t\r\n\t\t}","@Override\n\tpublic void sacrifier() {\n\t\t\n\t}","@Override\r\n\tprotected void InitData() {\n\t\t\r\n\t}","public void designBasement() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initialize() {\r\n\t\t\r\n\t\t\r\n\t}","public void gored() {\n\t\t\n\t}","@Override\r\n\tprotected void initData() {\n\r\n\t}","@Override\n\tpublic void einkaufen() {\n\t}","@Override\n protected void initialize() {\n\n \n }","public void mo38117a() {\n }","@Override\n\tprotected void getData() {\n\t\t\n\t}","Constructor() {\r\n\t\t \r\n\t }","@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","@Override\n\tpublic void one() {\n\t\t\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","private stendhal() {\n\t}","@Override\n\tprotected void update() {\n\t\t\n\t}","@Override\n\t\t\tpublic void ic() {\n\t\t\t\t\n\t\t\t}","@Override\n\tprotected void initData() {\n\n\t}","@Override\n\tprotected void initData() {\n\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\t\t\n\t}","@Override\n public void init() {\n\n }","@Override\n\tprotected void initialize() {\n\t\t\n\t}","@Override\n\tprotected void initialize() {\n\t\t\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","@Override\n\tpublic void debite() {\n\t\t\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","@Override\r\n\tpublic void init() {\n\r\n\t}","public contrustor(){\r\n\t}","@Override\n\tprotected void initialize() {\n\n\t}","@Override\r\n\tpublic void dispase() {\n\r\n\t}","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","@Override\n\tpublic void dtd() {\n\t\t\n\t}","@Override\n\tprotected void logic() {\n\n\t}","@Override\n\tprotected void lazyLoad() {\n\t\t\n\t}","public void mo4359a() {\n }","@Override\r\n\tprotected void initialize() {\n\r\n\t}","@Override\n public void memoria() {\n \n }","@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}","private RepositorioAtendimentoPublicoHBM() {\r\t}","@Override\n protected void initialize() \n {\n \n }","@Override\r\n\tpublic void getProposition() {\n\r\n\t}","@Override\n\tpublic void particular1() {\n\t\t\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n\tpublic void init() {\n\n\t}","@Override\n protected void prot() {\n }","@Override\r\n\tpublic void init()\r\n\t{\n\t}","@Override\n\tprotected void initValue()\n\t{\n\n\t}","public void mo55254a() {\n }"],"string":"[\n \"@Override\\r\\n\\tpublic void comer() \\r\\n\\t{\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void comer() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void perish() {\\n \\n }\",\n \"@Override\\r\\n\\t\\t\\tpublic void annadir() {\\n\\r\\n\\t\\t\\t}\",\n \"@Override\\n\\tpublic void anular() {\\n\\n\\t}\",\n \"@Override\\n\\tprotected void getExras() {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void anularFact() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void entrenar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void nadar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void tires() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\t\\t\\tpublic void ayuda() {\\n\\r\\n\\t\\t\\t}\",\n \"@Override\\n\\tprotected void interr() {\\n\\t}\",\n \"@Override\\n\\tpublic void emprestimo() {\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void bicar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void bicar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void grabar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void gravarBd() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void rozmnozovat() {\\n\\t}\",\n \"@Override\\r\\n\\tpublic void dormir() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n protected void getExras() {\\n }\",\n \"@Override\\r\\n\\tpublic void publierEnchere() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void nefesAl() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void ligar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void func_104112_b() {\\n \\n }\",\n \"@Override\\n\\tprotected void initdata() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void nghe() {\\n\\n\\t}\",\n \"@Override\\n 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interaction"},"document":{"kind":"string","value":"@Override\r\n public boolean interactFirst(EntityPlayer player)\r\n {\r\n ItemStack item = player.getHeldItem();\r\n if (player.isSneaking() && item != null && item.getItem() instanceof ItemLinker\r\n && ((owner != null && player.getUniqueID().equals(owner)) || player.capabilities.isCreativeMode))\r\n {\r\n if (item.getTagCompound() == null)\r\n {\r\n item.setTagCompound(new NBTTagCompound());\r\n }\r\n item.getTagCompound().setString(\"lift\", id.toString());\r\n\r\n String message = StatCollector.translateToLocalFormatted(\"msg.liftSet.name\");\r\n\r\n if (worldObj.isRemote) player.addChatMessage(new ChatComponentText(message));\r\n return true;\r\n }\r\n else if (item != null && item.getItem() instanceof ItemLinker\r\n && ((owner != null && player.getUniqueID().equals(owner)) || player.capabilities.isCreativeMode))\r\n {\r\n if (!worldObj.isRemote && owner != null)\r\n {\r\n Entity ownerentity = worldObj.getPlayerEntityByUUID(owner);\r\n String message = StatCollector.translateToLocalFormatted(\"msg.lift.owner\", ownerentity.getName());\r\n\r\n player.addChatMessage(new ChatComponentText(message));\r\n }\r\n }\r\n if ((player.isSneaking() && item != null\r\n && (player.getHeldItem().getItem().getUnlocalizedName().toLowerCase().contains(\"wrench\")\r\n || player.getHeldItem().getItem().getUnlocalizedName().toLowerCase().contains(\"screwdriver\")\r\n || player.getHeldItem().getItem().getUnlocalizedName()\r\n .equals(Items.stick.getUnlocalizedName())))\r\n && ((owner != null && player.getUniqueID().equals(owner)) || player.capabilities.isCreativeMode))\r\n {\r\n if (!worldObj.isRemote)\r\n {\r\n String message = StatCollector.translateToLocalFormatted(\"msg.lift.killed\");\r\n player.addChatMessage(new ChatComponentText(message));\r\n setDead();\r\n }\r\n return true;\r\n }\r\n else if (player.isSneaking() && item != null && Block.getBlockFromItem(item.getItem()) != null\r\n && (owner == null || owner.equals(player.getUniqueID())))\r\n {\r\n Block block = Block.getBlockFromItem(item.getItem());\r\n if (block.isNormalCube())\r\n {\r\n ItemStack item2 = item.splitStack(1);\r\n if (this.getHeldItem() != null && !worldObj.isRemote)\r\n {\r\n this.entityDropItem(getHeldItem(), 1);\r\n }\r\n this.setCurrentItemOrArmor(0, item2);\r\n }\r\n }\r\n else if (player.isSneaking() && item == null && (owner == null || owner.equals(player.getUniqueID())))\r\n {\r\n if (this.getHeldItem() != null && !worldObj.isRemote)\r\n {\r\n this.entityDropItem(getHeldItem(), 1);\r\n }\r\n this.setCurrentItemOrArmor(0, null);\r\n }\r\n return false;\r\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["void playerPassedStart(Player player);","public void playerTurnStart() {\n\r\n\t}","@Override\n public void landedOn(Player player) {}","public abstract void activatedBy(Player player);","public String callPlayer() {\n\t\treturn \"OVER HERE!!\";\n\t}","public void enter(FieldPlayer player){\n player.getTeam().setReceiver(player);\n \n //this player is also now the controlling player\n player.getTeam().setControllingPlayer(player);\n\n //there are two types of receive behavior. One uses arrive to direct\n //the receiver to the position sent by the passer in its telegram. The\n //other uses the pursuit behavior to pursue the ball. \n //This statement selects between them dependent on the probability\n //ChanceOfUsingArriveTypeReceiveBehavior, whether or not an opposing\n //player is close to the receiving player, and whether or not the receiving\n //player is in the opponents 'hot region' (the third of the pitch closest\n //to the opponent's goal\n double PassThreatRadius = 70.0;\n\n if (( player.isInHotRegion() ||\n RandFloat() < Params.Instance().ChanceOfUsingArriveTypeReceiveBehavior) &&\n !player.getTeam().isOpponentWithinRadius(player.getPos(), PassThreatRadius)){\n player.getSteering().arriveOn();\n }\n else{\n player.getSteering().pursuitOn();\n }\n \n //FIXME: Change animation\n// player.info.setAnim(\"Run\");\n// player.info.setDebugText(\"ReceiveBall\");\n }","void setFirstAttacker() {\n\t\t\ttoPlayerCommandWriter.println(FIRST);\n\t\t}","public void enterPlayerView(){\n\t\tplayerSeen=true;\r\n\t\tplayerMapped=true;\r\n\t}","@Override\n \tpublic boolean interactFirst(EntityPlayer player) //interact : change back when Forge updates\n \t{\n \t\tif (gunner != null && (gunner instanceof EntityPlayer) && gunner != player)\n \t\t{\n \t\t\treturn true;\n \t\t}\n \t\tif (!worldObj.isRemote)\n \t\t{\n \t\t\tif (gunner == player)\n \t\t\t{\n \t\t\t\tmountGun(player, false);\n \t\t\t\tPacketDispatcher.sendPacketToAllAround(posX, posY, posZ, 100, dimension, PacketMGMount.buildMGPacket(player, this, false));\n \t\t\t\treturn true;\n \t\t\t}\n \t\t\tif (FlansModPlayerHandler.getPlayerData(player).mountingGun != null && !FlansModPlayerHandler.getPlayerData(player).mountingGun.isDead)\n \t\t\t{\n \t\t\t\treturn true;\n \t\t\t}\n \n \t\t\tmountGun(player, true);\n \t\t\tPacketDispatcher.sendPacketToAllAround(posX, posY, posZ, 100, dimension, PacketMGMount.buildMGPacket(player, this, true));\n \t\t\tif (ammo == null)\n \t\t\t{\n \t\t\t\tint slot = findAmmo(player);\n \t\t\t\tif (slot >= 0)\n \t\t\t\t{\n \t\t\t\t\tammo = player.inventory.getStackInSlot(slot);\n \t\t\t\t\tplayer.inventory.setInventorySlotContents(slot, null);\n \t\t\t\t\treloadTimer = type.reloadTime;\n \t\t\t\t\tworldObj.playSoundAtEntity(this, type.reloadSound, 1.0F, 1.0F / (rand.nextFloat() * 0.4F + 0.8F));\n \t\t\t\t}\n \t\t\t}\n \t\t\t\n \t\t}\n \t\treturn true;\n \t}","@Override\r\n\tpublic void onPlayerHit(Player p) {\n\r\n\t}","@Override\r\n\tpublic void onPlayerHit(Player p) {\n\t\t\r\n\t}","@Override\r\n\tpublic void onPlayerHit(Player p) {\n\t\t\r\n\t}","public void singlePlayerSelected()\n {\n //call Client Controller's setState method with\n //a parameter of new ClientLobbyState()\n clientController.startSinglePlayerGame();\n }","Player currentPlayer();","public void act() \r\n {\n if(getOneIntersectingObject(Player.class)!=null)\r\n {\r\n if(MenuWorld.gamemode == 1)\r\n //marcheaza regenerarea labirintului(trecere la nivelul urmator in Modul Contra Timp)\r\n TAworld.shouldRegen=true;\r\n else\r\n { \r\n //reseteaza variabilele care tin de modul de joc\r\n MenuWorld.gamemode=-1;\r\n MenuWorld.isPlaying=false;\r\n for(int i=0;i<4;i++)\r\n ItemCounter.gems_taken[i]=0;\r\n \r\n //arata fereastra de castig \r\n PMworld.shouldShowVictoryWindow=true;\r\n }\r\n \r\n }\r\n \r\n }","Player getSelectedPlayer();","public void preGame() {\n\n\t}","public void onAction(Player player) {\n }","@Override\n\tpublic void startGame(){\n\t\tsuper.currentPlayer = 1;\n\t}","public void firstClick() {\n\t\tif(Main.player == 0) {\n\t\t\tif(piece == null || piece.getColor() == Color.WHITE)\n\t\t\t\treturn;\n\t\t\tMain.possiblePositions = piece.move(position);\n \thighlightTile(Main.possiblePositions);\n \tMain.prevPosition = this.position;\n \tMain.prevPiece = this.piece;\n \tMain.clickFlag = 1;\n\t\t}else {\n\t\t\tif(piece == null || piece.getColor() == Color.BLACK)\n\t\t\t\treturn;\n\t\t\tMain.possiblePositions = piece.move(position);\n \thighlightTile(Main.possiblePositions);\n \tMain.prevPosition = this.position;\n \tMain.prevPiece = this.piece;\n \tMain.clickFlag = 1;\n\t\t}\n\t}","void chooseStarterPlayer() {\n\t\tSystem.out.println(\"\\nWer beginnt?\");\n\t\tSystem.out.println(\"1 - Computer\");\n\t\tSystem.out.println(\"2 - Human\");\n\t}","Player getCurrentPlayer();","Player getCurrentPlayer();","private void firstRound(Player player)\n {\n PowerUpCard option1 = powerUpCardDeck.getFirstCard();\n PowerUpCard option2 = powerUpCardDeck.getFirstCard();\n try\n {\n String chosenId = player.getView().chooseSpawnPoint(option1.getCardData(), option2.getCardData());\n PowerUpCard chosen = option1.getId().equals(chosenId) ? option1 : option2;\n Block spawnPoint = map.findRoomByColor(chosen.getColor()).getSpawnPoint();\n powerUpCardDeck.addCard(chosen);\n player.addPowerUpCard(chosen.equals(option1) ? option2 : option1);\n player.setBlock(spawnPoint);\n player.setFirstRoundPlayed(true);\n sendBroadcastUpdate();\n }\n catch (ConnectionErrorException | TimeOutException e)\n {\n powerUpCardDeck.addCard(option1);\n powerUpCardDeck.addCard(option2);\n throw e;\n }\n\n }","void doAction(Player player);","public void initPlayer();","public void welcomePlayer(Player p);","public abstract void interact (Player p, int interactAmount);","private void setPlayer()\t{\n\t\tgrid.setGameObject(spy, Spy.INITIAL_X, Spy.INITIAL_Y);\n\t}","public void setSinglePlayer(){\n isSinglePlayer = true;\n }","@Override\n\tpublic void onLeftClick(Player p) {\n\t\t\n\t}","@Override\n public void interact(){\n if(System.currentTimeMillis() - lastInteraction < 200){\n return;\n }\n\n // Set new lastInterTime\n lastInteraction = System.currentTimeMillis();\n\n // Code\n try {\n System.out.println(getPlayer().getJoueur().getPosition());\n getPlayer().getCollisionner().getInteractiveObject(getPlayer().getJoueur().getVisual()).interact(getPlayer());\n } catch (InstanceNotFoundException e) {\n System.out.println(e.getMessage());\n return;\n }\n }","public void interactWhenSteppingOn() {\r\n\t\t\r\n\t}","@Override\n\tpublic void onRun(PlatformPlayer player) {\n\t\t\n\t}","public void setFirstPlayer() {\n notifySetFirstPlayer(this.getCurrentTurn().getCurrentPlayer().getNickname(), onlinePlayers);\n }","private void getPlayer(){\n /** We need to have the correct child index from the scene **/\n //Spatial spatialNode = animation_Scene.getChild(16);\n //spatialNode\n animCharacter = (Node) animation_Scene.getChild(16);\n //rootNode.attachChild(animCharacter);\n animCharacter.setLocalTranslation(0, 0, 0);\n \n \n /** Get the animation control **/\n control = animCharacter.getChild(0).getControl(AnimControl.class);\n \n /** Print the names of animations**/\n Collection<String> animationNames = control.getAnimationNames();\n Object[] nameArray = animationNames.toArray();\n for(int a = 0; a < animationNames.size(); a++){\n System.out.println(\"Animation \" + a + \": \" + nameArray[a]);\n }\n \n /** Get Animation Channel **/\n channel = control.createChannel();\n walk = control.getAnim(\"Walk\");\n run = control.getAnim(\"Run\");\n stand = control.getAnim(\"Action_Stand\");\n \n channel.setAnim(\"Action_Stand\");\n }","private void initializePlayerController (Player player) {\n if (player1 instanceof InteractivePlayer)\n new PlayerController(\n (InteractivePlayer)player,game,in);\n }","public void launchTurn() {\n \twhile (getCurrentPlayer() instanceof AbstractIA) {\n \t\tSystem.out.println(\"Some thing happen or nothing\");\n \t\tjouerIA();\n \t\tendTurn();\n \t\t//setCurrentPlayer(getJoueur1());\t\n \t}\n \t\n }","Player() {\r\n setPlayerType(\"HUMAN\");\r\n\t}","GameResult start(Player uno , Player due , Model model ,Controller controller , ViewInterface view , gestioneInput io) throws IOException;","private String getFirstPlayer() {\n\t\treturn firstPlayer;\n\t}","public Player getFirstPlayer() {\n return firstPlayer;\n }","void playerAdded();","public void act() \n {\n if (Greenfoot.mouseClicked(this))\n {\n Peter.lb=2; \n Greenfoot.playSound(\"click.mp3\");\n Greenfoot.setWorld(new StartEngleza());\n };\n }","public void GameStart()\n\t\t{\n\t\t\tplayers_in_game++;\n\t\t}","@Override\r\n\tpublic void startTurn() {\n\t\t\r\n\t}","public void preparePlayer1()\n {\n Player1 p1 = new Player1();\n addObject(p1, 200, 600);\n }","public static void stageOne() {\n Stage1.intro();\n while (status.getCounter() < 3 && play) {\n beginning_maze.directions();\n if (beginning_maze.trap_or_safe()) {\n status.addCounter();\n if (beginning_maze.bat) {\n status.half();\n } else if (beginning_maze.thorn) {\n status.fourth();\n }\n } else {\n //restarts maze\n status.recount();\n }\n quit();\n }\n }","public void startGame() {\n\t\t\n\t\tPlayer p1;\n\t\tPlayer p2;\n\t\t\n\t\tif(player1.getSelectionModel().getSelectedItem().equals(_HUMAN)) {\n\t\t\tp1 = new Human(1, main);\n\t\t}\n\t\telse {\n\t\t\tString difficulty = player1Diff.getSelectionModel().getSelectedItem();\n\t\t\t\n\t\t\tint diff = difficulty.equals(_DIFFICULTY1) ? 1 : difficulty.equals(_DIFFICULTY2) ? 2 : 3;\n\t\t\t\n\t\t\tp1 = new AI(1, diff, main);\n\t\t}\n\t\t\n\t\t\n\t\tif(player2.getSelectionModel().getSelectedItem().equals(_HUMAN)) {\n\t\t\tp2 = new Human(2, main);\n\t\t}\n\t\telse {\n\t\t\tString difficulty = player2Diff.getSelectionModel().getSelectedItem();\n\t\t\t\n\t\t\tint diff = difficulty.equals(_DIFFICULTY1) ? 1 : difficulty.equals(_DIFFICULTY2) ? 2 : 3;\n\t\t\t\n\t\t\tp2 = new AI(2, diff, main);\n\t\t}\n\t\t\n\t\t\n\t\tmain.startGame(p1, p2);\n\t\t\n\t}","void initializePlayer();","private void myTurn()\n\t{\n\t\t\n\t\tif (canPlay())\n\t\t{\n\t\t\tif (isTop())\n\t\t\t{\n\t\t\t\traise();\n\t\t\t}\n\t\t\telse\n\t\t\t{\n\t\t\t\tequal();\n\t\t\t}\n\t\t}\n\t\ttable.nextPlayer();\n\t\t\n\t}","public void onTurnBegin() {\n\n\t}","public void putPlayerAtStart() {\n // put the player on the ground\n player.putOn(ground1); \n player.move(new Vec2(-90, 0));\n }","public boolean isFirstPlayer()\r\n\t{\r\n\t\tgetStartGameDataFromServer();\r\n\t\treturn isFirstPlayer;\r\n\t}","public void startTurn() {\n nMovesBeforeGrabbing = 1;\n nMovesBeforeShooting = 0;\n\n if (damages.size() > 2)\n nMovesBeforeGrabbing = 2;\n\n if (damages.size() > 5)\n nMovesBeforeShooting = 1;\n\n playerStatus.isActive = true;\n }","public void beginTakingPlayers() {\n currentQuestionIndex = 0;\n setGameState(GameState.AWAITING_PLAYERS);\n }","void onStartGameRequested();","@Override\n\tpublic void action(Player player) {\n\t\tfireMessageEvent(player.getPlayerId());\n\t\tplayer.setPosition(jail);\n\t\tplayer.setInJail(true);\n\t}","private void initBeginOfTurn()\n\t{\n\t\tfor(Action action : this.getCurrentPlayer().getPersonalityCard().getActions())\n\t\t{\n\t\t\taction.execute(this);\n\t\t}\n\t\t\n\t\tcanPlayPlayerCard = true;\n\t\tthis.getCurrentPlayer().getDataInput().printMessage(this.getEntireGameStatus());\n\t\tthis.getCurrentPlayer().getDataInput().printMessage(this.getCurrentPlayerGameStatus());\n\t\tthis.showSaveGame = true;\n\t\t\n\t\tfor(Card card : this.getCurrentPlayer().getCityAreaCardDeck())\n\t\t{\n\t\t\tcard.setActiveState(true);\n\t\t}\n\t}","public Player whoGoesFirst() {\n return firstPlayer;\n }","@Override\n\tpublic void interact(Entity obj) {\n\t\tif (obj instanceof Player) {\n\t\t\tPlayer player = (Player) obj;\n\t\t\tstate = state.pickUp(this, player);\n\t\t}\n\t}","public void onPlayerCollide(Player player) {\n \tplayer.x().set(getX());\r\n \tplayer.y().set(getY());\r\n \t\r\n \t// One ladder at a time\r\n \tif (player.getInventory().findEntity(this) == null) {\r\n \t\tplayAudio(\"sounds/pickup.wav\");\r\n \t\tplayer.getInventory().addEntity(this);\r\n \tdisplayInventory();\r\n \t}\n }","public void OnPlayer(Joueur joueur);","public void playerWon()\r\n {\r\n \r\n }","private void returnPlayerHome(Player player_to_be_eaten)\n {\n player_to_be_eaten.setX_cordinate(player_to_be_eaten.getInitial_x());\n player_to_be_eaten.setY_cordinate(player_to_be_eaten.getInitial_y());\n player_to_be_eaten.setSteps_moved(0);\n }","private void humanTurn() \n {\n \n playTurn();\n }","@Override\n public void beginGame() {\n }","public void act() \n {\n playerMovement();\n }","public void startPlaying() {\n\t\t\n\t\t// make the player travel to its home base\n\t\ttravelTo(Location.Home);\n\t\t\n\t\t// once it has travelled to its home base, start performing \n\t\t// the appropriate tasks -- whether that is attack or defend\n\t\tif (role == Role.Defender) defend();\n\t\telse if (role == Role.Attacker) attack();\n\t\t\n\t}","@Override\n public void handle(Event event) {\n secondPlayer();\n }","private void startNextPlayer() {\n if(flag.equals(\"player1\")){\n p2Handler.post(new Runnable() {\n @Override\n public void run() {\n try {\n Thread.sleep(3000);\n } catch (InterruptedException e) {\n e.printStackTrace();\n }\n Message msg = maHandler.obtainMessage(2);\n maHandler.sendMessage(msg);\n }\n });\n }\n if(flag.equals(\"player2\")){\n p1Handler.post(new Runnable() {\n @Override\n public void run() {\n try {\n Thread.sleep(3000);\n } catch (InterruptedException e) {\n e.printStackTrace();\n }\n Message msg = maHandler.obtainMessage(1);\n maHandler.sendMessage(msg);\n }\n });\n }\n }","public void movementStrategy() {\n System.out.println(\"Player has chosen\" + this.playerMovement);\n }","public void action(Player myPlayer)\n {\n if (getNbUtilisation() == 0) {\n System.out.println(\"Not possible\");\n } else {\n int nHealthy = getPointsHealthy();\n myPlayer.addLifePoints(nHealthy);\n\n }\n }","public void playTurn() {\r\n\r\n }","public void act() \n {\n moveTowardsPlayer(); \n }","public void playPvC() {\n boolean computerFirst = true;\n playPvC(computerFirst);\n }","private void findFirstPlayer() { \n if(isFirstTurn) {\n for(PlayerId p: PlayerId.ALL) {\n if(handsOfCards.get(p).contains(Card.of(Color.DIAMOND, Rank.SEVEN))) {\n firstPlayer = p;\n }\n }\n }\n else {\n firstPlayer = PlayerId.ALL.get((firstPlayer.ordinal()+1)%PlayerId.COUNT);\n }\n }","@Override\n public void doAction() {\n this.game.setComputerStartsFirst(false);\n }","@Override\n public void startNewGame() {\n reset();\n winnerDialogShown_ = false;\n sendGameChangedEvent(null); // get the info panel to refresh with 1st players name\n Player firstPlayer = controller.getPlayers().getFirstPlayer();\n\n if (firstPlayer.isSurrogate()) {\n doSurrogateMove((SurrogateMultiPlayer) firstPlayer);\n }\n else if (!firstPlayer.isHuman()) {\n controller.computerMovesFirst();\n }\n }","void fireShellAtOpponent(int playerNr);","public void win()\r\n {\n Actor win;\r\n win=getOneObjectAtOffset(0,0,Goal.class);\r\n if (win !=null)\r\n {\r\n World myWorld=getWorld();\r\n Congrats cong=new Congrats();\r\n myWorld.addObject(cong,myWorld.getWidth()/2,myWorld.getHeight()/2); //(Greenfoot,2013) \r\n \r\n Greenfoot.stop();\r\n Greenfoot.playSound(\"finish.wav\"); //(Sound-Ideas,2014)\r\n \r\n }\r\n }","void userMoveRequested(int playerIndex);","@Override\r\n\tpublic void uniqueOnStartInteraction() {\n\t\tif (Main.clientPlayer.getNumWood() < cost) {\r\n\t\t\tMain.clientPlayer.stopInteraction();\r\n\t\t}\r\n\r\n\t}","public void startGame() {\n\t\tif (chordImpl.getPredecessorID().compareTo(chordImpl.getID()) > 0) {\n\t\t\tGUIMessageQueue.getInstance().addMessage(\"I Start!\");\n\t\t\tshoot();\n\t\t}\n\t}","public void switchPlayer(){\n // Menukar giliran player dalam bermain\n Player temp = this.currentPlayer;\n this.currentPlayer = this.oppositePlayer;\n this.oppositePlayer = temp;\n }","@Override\n public void interact(Object obj) {\n // TODO: Cave Code - Add additional Agility to the player while on this Tile\n }","@Override\n\tpublic void moveExecStart(Counter player) {\n\n\t}","private void chooseStartPlayer() throws IOExceptionFromController {\n try {\n game.setActivePlayer(playerControllers.get(0).getClient().chooseStartingPlayer(players));\n } catch (IOException | InterruptedException e) {\n throw new IOExceptionFromController(e, playerControllers.get(0));\n }\n }","void win(Player player);","private void enterSinglePlayerMode(Game game) {\n if (!game.isStarted() && !game.isGameOver()) {\n game.startGame();\n initSubSystems(game);\n stateSession.initialGame = new Game(game);\n }\n }","public Player() {\n\t\t\n\t\tif (Main.role == 0) this.role = Role.Attacker;\n\t\tif (Main.role == 1) this.role = Role.Defender;\n\t\t\n\t\tnavigator = Main.nav;\n\t\t\n\t\tballGrabber = new BallGrab();\n\t\t\n\t\tballPlatform[0] = Main.upperRightX + 35; //120\n\t\tballPlatform[1] = Main.upperRightY - 8; //165\n\t\t\n\t\tstartingCorner = Main.startingCorner;\n\t\t\n\t\t\n\t}","@Override\n public boolean interact(EntityPlayer player)\n {\n if (!super.interact(player)) return false;\n \n targetHelicopter = null; // inactivate ai\n \n return true;\n }","@Override\n public void interact(Player player) {\n if(player.getHasKey()) {\n System.out.println(\"You turn the key in the keyhole.\");\n openDoor(player);\n } else {\n System.out.println(\"It's a really old door made out of murky dark wood. On the right side of the door, there is a handle in pure gold. \\n \" +\n \"The sparkling handle seems out of place in comparisson to the rest of the door. You try to turn it, but the door seems locked. \\n \" +\n \"Underneath the handle you spot a keyhole. ....*NÖFF*.... something... or someone seems to be on the other side\");\n }\n }","public void playOne(VirtualPet player) {\n\t\tplayer.playPet();\n\t}","private void suarez() {\n\t\ttry {\n\t\t\tThread.sleep(5000); // espera, para dar tempo de ver as mensagens iniciais\n\t\t} catch (InterruptedException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\tint xInit = -10;\n\t\tint yInit = 8;\n\t\tplayerDeafaultPosition = new Vector2D(xInit*selfPerception.getSide().value(), yInit*selfPerception.getSide().value());\n\t\twhile (commander.isActive()) {\n\t\t\t\n\t\t\tupdatePerceptions(); // deixar aqui, no começo do loop, para ler o resultado do 'move'\n\t\t\tswitch (matchPerception.getState()) {\n\t\t\tcase BEFORE_KICK_OFF:\n\t\t\t\tcommander.doMoveBlocking(xInit, yInit);\t\t\t\t\t\t\t\t\n\t\t\t\tbreak;\n\t\t\tcase PLAY_ON:\n\t\t\t\t//state = State.FOLLOW;\n\t\t\t\texecuteStateMachine();\n\t\t\t\tbreak;\n\t\t\tcase KICK_OFF_LEFT:\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.LEFT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase KICK_OFF_RIGHT:\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase CORNER_KICK_LEFT: // escanteio time esquerdo\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.LEFT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase CORNER_KICK_RIGHT: // escanteio time direito\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase KICK_IN_LEFT: // lateral time esquerdo\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.LEFT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\tcase KICK_IN_RIGHT: // lateal time direito\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase FREE_KICK_LEFT: // Tiro livre time esquerdo\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.LEFT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase FREE_KICK_RIGHT: // Tiro Livre time direito\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase FREE_KICK_FAULT_LEFT:\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.LEFT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase FREE_KICK_FAULT_RIGHT:\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase GOAL_KICK_LEFT:\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.LEFT) {\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase GOAL_KICK_RIGHT:\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase AFTER_GOAL_LEFT:\n\t\t\t\tcommander.doMoveBlocking(xInit, yInit);\n\t\t\t\tbreak;\n\t\t\tcase AFTER_GOAL_RIGHT:\n\t\t\t\tcommander.doMoveBlocking(xInit, yInit);\n\t\t\t\tbreak;\n\t\t\tcase INDIRECT_FREE_KICK_LEFT:\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.LEFT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase INDIRECT_FREE_KICK_RIGHT:\n\t\t\t\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\n\t\t\t\t\tstate = State.PASSING_BALL;\n\t\t\t\t\texecuteStateMachine();\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tdefault:\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\t}\n\t}","@Override\n public boolean isPlayer() {\n return super.isPlayer();\n }","@Override\r\n\t\t\tpublic void playGame() {\n\t\t\t\tSystem.out.println(\"隐式调用接口\");\r\n\t\t\t}","public void startGame(){\n\n AgentAddress coordinatorAddressPre = getAgentWithRole(\"investment_game\", \"tout_le_monde\", \"coordinator\");\n\n if (coordinatorAddressPre==null){\n Coordinator coordinator = new Coordinator();\n\n launchAgent(coordinator);\n\n pause(1000);\n }\n\n Set<Player> players = new HashSet<Player>();\n Player primaryPlayer = null;\n\n //now launch all human player avatar agents, each of them will be initialized as agent having a GUI frame\n Iterator<GameSpecification.PlayerSpecification> playerSpecs = gameSpecification.getPlayerSpecifications().iterator();\n\n int launchedHumanPlayers = 0;\n\n while (playerSpecs.hasNext()){\n GameSpecification.PlayerSpecification spec = playerSpecs.next();\n\n if (spec instanceof GameSpecification.HumanPlayerSpecification){\n\n HumanPlayerAvatar humanPlayerAvatar = new HumanPlayerAvatar(spec.getName());\n\n launchAgent(humanPlayerAvatar,true);\n\n players.add(humanPlayerAvatar);\n\n launchedHumanPlayers++;\n\n if (null == primaryPlayer){\n primaryPlayer=humanPlayerAvatar;\n }\n\n }\n }\n\n //launch computer player agents. If no human players have been launched, the first computer player will display a GUI frame.\n playerSpecs = gameSpecification.getPlayerSpecifications().iterator();\n\n boolean first = true;\n\n while (playerSpecs.hasNext()){\n GameSpecification.PlayerSpecification spec = playerSpecs.next();\n\n if (spec instanceof GameSpecification.ComputerPlayerSpecification){\n\n ChooseAmountStrategy chooseAmountStrategy = ((GameSpecification.ComputerPlayerSpecification) spec).getChooseAmountStrategy();\n\n SelectOpponentStrategy selectOpponentStrategy = ((GameSpecification.ComputerPlayerSpecification) spec).getSelectOpponentStrategy();\n \n ComputerPlayer computerPlayer = new ComputerPlayer(spec.getName(),spec.getPictureFileName(), chooseAmountStrategy, selectOpponentStrategy);\n\n chooseAmountStrategy.setPlayer(computerPlayer);\n\n selectOpponentStrategy.setPlayer(computerPlayer);\n\n launchAgent(computerPlayer, launchedHumanPlayers == 0 && first);\n\n players.add(computerPlayer);\n\n if (null == primaryPlayer){\n primaryPlayer=computerPlayer;\n }\n\n first = false;\n\n }\n }\n\n //request new game from coordinator\n AgentAddress coordinatorAddress;\n\n while((coordinatorAddress = getAgentWithRole(\"investment_game\",\"tout_le_monde\",\"coordinator\"))==null){\n pause(750);\n }\n\n String requestGameSpec = \"<new_game> <for> \"+gameSpecification.getPlayerSpecifications().size()+\" <players> <having> \"+gameSpecification.getRounds()+\" <rounds> <invite> 0 <computer_players>\";\n\n ActMessage reply = (ActMessage)sendMessageWithRoleAndWaitForReply(coordinatorAddress,new ActMessage(\"request_game\",requestGameSpec),\"jeromes_assistant\");\n\n if (reply.getAction().equals(\"game_initialized\")){\n\n final String gameId = reply.getContent();\n\n //let players join the game\n Iterator<Player> playerIterator = players.iterator();\n\n while (playerIterator.hasNext()){\n\n final Player player = playerIterator.next();\n final boolean isPrimaryPlayer = player.equals(primaryPlayer);\n\n new Thread(){\n @Override\n public void run() {\n player.joinGame(gameId,isPrimaryPlayer,player.getPicturePath());\n }\n }.start();\n\n }\n }else{\n //TODO throw Exception\n }\n\n }","public void playTopHat() {\n\t\tSystem.out.println(\"ding ding da-ding\");\n\t\t\n\t}","public void beginTurn(){\n }"],"string":"[\n \"void playerPassedStart(Player player);\",\n \"public void playerTurnStart() {\\n\\r\\n\\t}\",\n \"@Override\\n public void landedOn(Player player) {}\",\n \"public abstract void activatedBy(Player player);\",\n \"public String callPlayer() {\\n\\t\\treturn \\\"OVER HERE!!\\\";\\n\\t}\",\n \"public void enter(FieldPlayer player){\\n player.getTeam().setReceiver(player);\\n \\n //this player is also now the controlling player\\n player.getTeam().setControllingPlayer(player);\\n\\n //there are two types of receive behavior. One uses arrive to direct\\n //the receiver to the position sent by the passer in its telegram. The\\n //other uses the pursuit behavior to pursue the ball. \\n //This statement selects between them dependent on the probability\\n //ChanceOfUsingArriveTypeReceiveBehavior, whether or not an opposing\\n //player is close to the receiving player, and whether or not the receiving\\n //player is in the opponents 'hot region' (the third of the pitch closest\\n //to the opponent's goal\\n double PassThreatRadius = 70.0;\\n\\n if (( player.isInHotRegion() ||\\n RandFloat() < Params.Instance().ChanceOfUsingArriveTypeReceiveBehavior) &&\\n !player.getTeam().isOpponentWithinRadius(player.getPos(), PassThreatRadius)){\\n player.getSteering().arriveOn();\\n }\\n else{\\n player.getSteering().pursuitOn();\\n }\\n \\n //FIXME: Change animation\\n// player.info.setAnim(\\\"Run\\\");\\n// player.info.setDebugText(\\\"ReceiveBall\\\");\\n }\",\n \"void setFirstAttacker() {\\n\\t\\t\\ttoPlayerCommandWriter.println(FIRST);\\n\\t\\t}\",\n \"public void enterPlayerView(){\\n\\t\\tplayerSeen=true;\\r\\n\\t\\tplayerMapped=true;\\r\\n\\t}\",\n \"@Override\\n \\tpublic boolean interactFirst(EntityPlayer player) //interact : change back when Forge updates\\n \\t{\\n \\t\\tif (gunner != null && (gunner instanceof EntityPlayer) && gunner != player)\\n \\t\\t{\\n \\t\\t\\treturn true;\\n \\t\\t}\\n \\t\\tif (!worldObj.isRemote)\\n \\t\\t{\\n \\t\\t\\tif (gunner == player)\\n \\t\\t\\t{\\n \\t\\t\\t\\tmountGun(player, false);\\n \\t\\t\\t\\tPacketDispatcher.sendPacketToAllAround(posX, posY, posZ, 100, dimension, PacketMGMount.buildMGPacket(player, this, false));\\n \\t\\t\\t\\treturn true;\\n \\t\\t\\t}\\n \\t\\t\\tif (FlansModPlayerHandler.getPlayerData(player).mountingGun != null && !FlansModPlayerHandler.getPlayerData(player).mountingGun.isDead)\\n \\t\\t\\t{\\n \\t\\t\\t\\treturn true;\\n \\t\\t\\t}\\n \\n \\t\\t\\tmountGun(player, true);\\n \\t\\t\\tPacketDispatcher.sendPacketToAllAround(posX, posY, posZ, 100, dimension, PacketMGMount.buildMGPacket(player, this, true));\\n \\t\\t\\tif (ammo == null)\\n \\t\\t\\t{\\n \\t\\t\\t\\tint slot = findAmmo(player);\\n \\t\\t\\t\\tif (slot >= 0)\\n \\t\\t\\t\\t{\\n \\t\\t\\t\\t\\tammo = player.inventory.getStackInSlot(slot);\\n \\t\\t\\t\\t\\tplayer.inventory.setInventorySlotContents(slot, null);\\n \\t\\t\\t\\t\\treloadTimer = type.reloadTime;\\n \\t\\t\\t\\t\\tworldObj.playSoundAtEntity(this, type.reloadSound, 1.0F, 1.0F / (rand.nextFloat() * 0.4F + 0.8F));\\n \\t\\t\\t\\t}\\n \\t\\t\\t}\\n \\t\\t\\t\\n \\t\\t}\\n \\t\\treturn true;\\n \\t}\",\n \"@Override\\r\\n\\tpublic void onPlayerHit(Player p) {\\n\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void onPlayerHit(Player p) {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void onPlayerHit(Player p) {\\n\\t\\t\\r\\n\\t}\",\n \"public void singlePlayerSelected()\\n {\\n //call Client Controller's setState method with\\n //a parameter of new ClientLobbyState()\\n clientController.startSinglePlayerGame();\\n }\",\n \"Player currentPlayer();\",\n \"public void act() \\r\\n {\\n if(getOneIntersectingObject(Player.class)!=null)\\r\\n {\\r\\n if(MenuWorld.gamemode == 1)\\r\\n //marcheaza regenerarea labirintului(trecere la nivelul urmator in Modul Contra Timp)\\r\\n TAworld.shouldRegen=true;\\r\\n else\\r\\n { \\r\\n //reseteaza variabilele care tin de modul de joc\\r\\n MenuWorld.gamemode=-1;\\r\\n MenuWorld.isPlaying=false;\\r\\n for(int i=0;i<4;i++)\\r\\n ItemCounter.gems_taken[i]=0;\\r\\n \\r\\n //arata fereastra de castig \\r\\n PMworld.shouldShowVictoryWindow=true;\\r\\n }\\r\\n \\r\\n }\\r\\n \\r\\n }\",\n \"Player getSelectedPlayer();\",\n \"public void preGame() {\\n\\n\\t}\",\n \"public void onAction(Player player) {\\n }\",\n \"@Override\\n\\tpublic void startGame(){\\n\\t\\tsuper.currentPlayer = 1;\\n\\t}\",\n \"public void firstClick() {\\n\\t\\tif(Main.player == 0) {\\n\\t\\t\\tif(piece == null || piece.getColor() == Color.WHITE)\\n\\t\\t\\t\\treturn;\\n\\t\\t\\tMain.possiblePositions = piece.move(position);\\n \\thighlightTile(Main.possiblePositions);\\n \\tMain.prevPosition = this.position;\\n \\tMain.prevPiece = this.piece;\\n \\tMain.clickFlag = 1;\\n\\t\\t}else {\\n\\t\\t\\tif(piece == null || piece.getColor() == Color.BLACK)\\n\\t\\t\\t\\treturn;\\n\\t\\t\\tMain.possiblePositions = piece.move(position);\\n \\thighlightTile(Main.possiblePositions);\\n \\tMain.prevPosition = this.position;\\n \\tMain.prevPiece = this.piece;\\n \\tMain.clickFlag = 1;\\n\\t\\t}\\n\\t}\",\n \"void chooseStarterPlayer() {\\n\\t\\tSystem.out.println(\\\"\\\\nWer beginnt?\\\");\\n\\t\\tSystem.out.println(\\\"1 - Computer\\\");\\n\\t\\tSystem.out.println(\\\"2 - Human\\\");\\n\\t}\",\n \"Player getCurrentPlayer();\",\n \"Player getCurrentPlayer();\",\n \"private void firstRound(Player player)\\n {\\n PowerUpCard option1 = powerUpCardDeck.getFirstCard();\\n PowerUpCard option2 = powerUpCardDeck.getFirstCard();\\n try\\n {\\n String chosenId = player.getView().chooseSpawnPoint(option1.getCardData(), option2.getCardData());\\n PowerUpCard chosen = option1.getId().equals(chosenId) ? option1 : option2;\\n Block spawnPoint = map.findRoomByColor(chosen.getColor()).getSpawnPoint();\\n powerUpCardDeck.addCard(chosen);\\n player.addPowerUpCard(chosen.equals(option1) ? option2 : option1);\\n player.setBlock(spawnPoint);\\n player.setFirstRoundPlayed(true);\\n sendBroadcastUpdate();\\n }\\n catch (ConnectionErrorException | TimeOutException e)\\n {\\n powerUpCardDeck.addCard(option1);\\n powerUpCardDeck.addCard(option2);\\n throw e;\\n }\\n\\n }\",\n \"void doAction(Player player);\",\n \"public void initPlayer();\",\n \"public void welcomePlayer(Player p);\",\n \"public abstract void interact (Player p, int interactAmount);\",\n \"private void setPlayer()\\t{\\n\\t\\tgrid.setGameObject(spy, Spy.INITIAL_X, Spy.INITIAL_Y);\\n\\t}\",\n \"public void setSinglePlayer(){\\n isSinglePlayer = true;\\n }\",\n \"@Override\\n\\tpublic void onLeftClick(Player p) {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void interact(){\\n if(System.currentTimeMillis() - lastInteraction < 200){\\n return;\\n }\\n\\n // Set new lastInterTime\\n lastInteraction = System.currentTimeMillis();\\n\\n // Code\\n try {\\n System.out.println(getPlayer().getJoueur().getPosition());\\n getPlayer().getCollisionner().getInteractiveObject(getPlayer().getJoueur().getVisual()).interact(getPlayer());\\n } catch (InstanceNotFoundException e) {\\n System.out.println(e.getMessage());\\n return;\\n }\\n }\",\n \"public void interactWhenSteppingOn() {\\r\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tpublic void onRun(PlatformPlayer player) {\\n\\t\\t\\n\\t}\",\n \"public void setFirstPlayer() {\\n notifySetFirstPlayer(this.getCurrentTurn().getCurrentPlayer().getNickname(), onlinePlayers);\\n }\",\n \"private void getPlayer(){\\n /** We need to have the correct child index from the scene **/\\n //Spatial spatialNode = animation_Scene.getChild(16);\\n //spatialNode\\n animCharacter = (Node) animation_Scene.getChild(16);\\n //rootNode.attachChild(animCharacter);\\n animCharacter.setLocalTranslation(0, 0, 0);\\n \\n \\n /** Get the animation control **/\\n control = animCharacter.getChild(0).getControl(AnimControl.class);\\n \\n /** Print the names of animations**/\\n Collection<String> animationNames = control.getAnimationNames();\\n Object[] nameArray = animationNames.toArray();\\n for(int a = 0; a < animationNames.size(); a++){\\n System.out.println(\\\"Animation \\\" + a + \\\": \\\" + nameArray[a]);\\n }\\n \\n /** Get Animation Channel **/\\n channel = control.createChannel();\\n walk = control.getAnim(\\\"Walk\\\");\\n run = control.getAnim(\\\"Run\\\");\\n stand = control.getAnim(\\\"Action_Stand\\\");\\n \\n channel.setAnim(\\\"Action_Stand\\\");\\n }\",\n \"private void initializePlayerController (Player player) {\\n if (player1 instanceof InteractivePlayer)\\n new PlayerController(\\n (InteractivePlayer)player,game,in);\\n }\",\n \"public void launchTurn() {\\n \\twhile (getCurrentPlayer() instanceof AbstractIA) {\\n \\t\\tSystem.out.println(\\\"Some thing happen or nothing\\\");\\n \\t\\tjouerIA();\\n \\t\\tendTurn();\\n \\t\\t//setCurrentPlayer(getJoueur1());\\t\\n \\t}\\n \\t\\n }\",\n \"Player() {\\r\\n setPlayerType(\\\"HUMAN\\\");\\r\\n\\t}\",\n \"GameResult start(Player uno , Player due , Model model ,Controller controller , ViewInterface view , gestioneInput io) throws IOException;\",\n \"private String getFirstPlayer() {\\n\\t\\treturn firstPlayer;\\n\\t}\",\n \"public Player getFirstPlayer() {\\n return firstPlayer;\\n }\",\n \"void playerAdded();\",\n \"public void act() \\n {\\n if (Greenfoot.mouseClicked(this))\\n {\\n Peter.lb=2; \\n Greenfoot.playSound(\\\"click.mp3\\\");\\n Greenfoot.setWorld(new StartEngleza());\\n };\\n }\",\n \"public void GameStart()\\n\\t\\t{\\n\\t\\t\\tplayers_in_game++;\\n\\t\\t}\",\n \"@Override\\r\\n\\tpublic void startTurn() {\\n\\t\\t\\r\\n\\t}\",\n \"public void preparePlayer1()\\n {\\n Player1 p1 = new Player1();\\n addObject(p1, 200, 600);\\n }\",\n \"public static void stageOne() {\\n Stage1.intro();\\n while (status.getCounter() < 3 && play) {\\n beginning_maze.directions();\\n if (beginning_maze.trap_or_safe()) {\\n status.addCounter();\\n if (beginning_maze.bat) {\\n status.half();\\n } else if (beginning_maze.thorn) {\\n status.fourth();\\n }\\n } else {\\n //restarts maze\\n status.recount();\\n }\\n quit();\\n }\\n }\",\n \"public void startGame() {\\n\\t\\t\\n\\t\\tPlayer p1;\\n\\t\\tPlayer p2;\\n\\t\\t\\n\\t\\tif(player1.getSelectionModel().getSelectedItem().equals(_HUMAN)) {\\n\\t\\t\\tp1 = new Human(1, main);\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\tString difficulty = player1Diff.getSelectionModel().getSelectedItem();\\n\\t\\t\\t\\n\\t\\t\\tint diff = difficulty.equals(_DIFFICULTY1) ? 1 : difficulty.equals(_DIFFICULTY2) ? 2 : 3;\\n\\t\\t\\t\\n\\t\\t\\tp1 = new AI(1, diff, main);\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t\\tif(player2.getSelectionModel().getSelectedItem().equals(_HUMAN)) {\\n\\t\\t\\tp2 = new Human(2, main);\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\tString difficulty = player2Diff.getSelectionModel().getSelectedItem();\\n\\t\\t\\t\\n\\t\\t\\tint diff = difficulty.equals(_DIFFICULTY1) ? 1 : difficulty.equals(_DIFFICULTY2) ? 2 : 3;\\n\\t\\t\\t\\n\\t\\t\\tp2 = new AI(2, diff, main);\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t\\tmain.startGame(p1, p2);\\n\\t\\t\\n\\t}\",\n \"void initializePlayer();\",\n \"private void myTurn()\\n\\t{\\n\\t\\t\\n\\t\\tif (canPlay())\\n\\t\\t{\\n\\t\\t\\tif (isTop())\\n\\t\\t\\t{\\n\\t\\t\\t\\traise();\\n\\t\\t\\t}\\n\\t\\t\\telse\\n\\t\\t\\t{\\n\\t\\t\\t\\tequal();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\ttable.nextPlayer();\\n\\t\\t\\n\\t}\",\n \"public void onTurnBegin() {\\n\\n\\t}\",\n \"public void putPlayerAtStart() {\\n // put the player on the ground\\n player.putOn(ground1); \\n player.move(new Vec2(-90, 0));\\n }\",\n \"public boolean isFirstPlayer()\\r\\n\\t{\\r\\n\\t\\tgetStartGameDataFromServer();\\r\\n\\t\\treturn isFirstPlayer;\\r\\n\\t}\",\n \"public void startTurn() {\\n nMovesBeforeGrabbing = 1;\\n nMovesBeforeShooting = 0;\\n\\n if (damages.size() > 2)\\n nMovesBeforeGrabbing = 2;\\n\\n if (damages.size() > 5)\\n nMovesBeforeShooting = 1;\\n\\n playerStatus.isActive = true;\\n }\",\n \"public void beginTakingPlayers() {\\n currentQuestionIndex = 0;\\n setGameState(GameState.AWAITING_PLAYERS);\\n }\",\n \"void onStartGameRequested();\",\n \"@Override\\n\\tpublic void action(Player player) {\\n\\t\\tfireMessageEvent(player.getPlayerId());\\n\\t\\tplayer.setPosition(jail);\\n\\t\\tplayer.setInJail(true);\\n\\t}\",\n \"private void initBeginOfTurn()\\n\\t{\\n\\t\\tfor(Action action : this.getCurrentPlayer().getPersonalityCard().getActions())\\n\\t\\t{\\n\\t\\t\\taction.execute(this);\\n\\t\\t}\\n\\t\\t\\n\\t\\tcanPlayPlayerCard = true;\\n\\t\\tthis.getCurrentPlayer().getDataInput().printMessage(this.getEntireGameStatus());\\n\\t\\tthis.getCurrentPlayer().getDataInput().printMessage(this.getCurrentPlayerGameStatus());\\n\\t\\tthis.showSaveGame = true;\\n\\t\\t\\n\\t\\tfor(Card card : this.getCurrentPlayer().getCityAreaCardDeck())\\n\\t\\t{\\n\\t\\t\\tcard.setActiveState(true);\\n\\t\\t}\\n\\t}\",\n \"public Player whoGoesFirst() {\\n return firstPlayer;\\n }\",\n \"@Override\\n\\tpublic void interact(Entity obj) {\\n\\t\\tif (obj instanceof Player) {\\n\\t\\t\\tPlayer player = (Player) obj;\\n\\t\\t\\tstate = state.pickUp(this, player);\\n\\t\\t}\\n\\t}\",\n \"public void onPlayerCollide(Player player) {\\n \\tplayer.x().set(getX());\\r\\n \\tplayer.y().set(getY());\\r\\n \\t\\r\\n \\t// One ladder at a time\\r\\n \\tif (player.getInventory().findEntity(this) == null) {\\r\\n \\t\\tplayAudio(\\\"sounds/pickup.wav\\\");\\r\\n \\t\\tplayer.getInventory().addEntity(this);\\r\\n \\tdisplayInventory();\\r\\n \\t}\\n }\",\n \"public void OnPlayer(Joueur joueur);\",\n \"public void playerWon()\\r\\n {\\r\\n \\r\\n }\",\n \"private void returnPlayerHome(Player player_to_be_eaten)\\n {\\n player_to_be_eaten.setX_cordinate(player_to_be_eaten.getInitial_x());\\n player_to_be_eaten.setY_cordinate(player_to_be_eaten.getInitial_y());\\n player_to_be_eaten.setSteps_moved(0);\\n }\",\n \"private void humanTurn() \\n {\\n \\n playTurn();\\n }\",\n \"@Override\\n public void beginGame() {\\n }\",\n \"public void act() \\n {\\n playerMovement();\\n }\",\n \"public void startPlaying() {\\n\\t\\t\\n\\t\\t// make the player travel to its home base\\n\\t\\ttravelTo(Location.Home);\\n\\t\\t\\n\\t\\t// once it has travelled to its home base, start performing \\n\\t\\t// the appropriate tasks -- whether that is attack or defend\\n\\t\\tif (role == Role.Defender) defend();\\n\\t\\telse if (role == Role.Attacker) attack();\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void handle(Event event) {\\n secondPlayer();\\n }\",\n \"private void startNextPlayer() {\\n if(flag.equals(\\\"player1\\\")){\\n p2Handler.post(new Runnable() {\\n @Override\\n public void run() {\\n try {\\n Thread.sleep(3000);\\n } catch (InterruptedException e) {\\n e.printStackTrace();\\n }\\n Message msg = maHandler.obtainMessage(2);\\n maHandler.sendMessage(msg);\\n }\\n });\\n }\\n if(flag.equals(\\\"player2\\\")){\\n p1Handler.post(new Runnable() {\\n @Override\\n public void run() {\\n try {\\n Thread.sleep(3000);\\n } catch (InterruptedException e) {\\n e.printStackTrace();\\n }\\n Message msg = maHandler.obtainMessage(1);\\n maHandler.sendMessage(msg);\\n }\\n });\\n }\\n }\",\n \"public void movementStrategy() {\\n System.out.println(\\\"Player has chosen\\\" + this.playerMovement);\\n }\",\n \"public void action(Player myPlayer)\\n {\\n if (getNbUtilisation() == 0) {\\n System.out.println(\\\"Not possible\\\");\\n } else {\\n int nHealthy = getPointsHealthy();\\n myPlayer.addLifePoints(nHealthy);\\n\\n }\\n }\",\n \"public void playTurn() {\\r\\n\\r\\n }\",\n \"public void act() \\n {\\n moveTowardsPlayer(); \\n }\",\n \"public void playPvC() {\\n boolean computerFirst = true;\\n playPvC(computerFirst);\\n }\",\n \"private void findFirstPlayer() { \\n if(isFirstTurn) {\\n for(PlayerId p: PlayerId.ALL) {\\n if(handsOfCards.get(p).contains(Card.of(Color.DIAMOND, Rank.SEVEN))) {\\n firstPlayer = p;\\n }\\n }\\n }\\n else {\\n firstPlayer = PlayerId.ALL.get((firstPlayer.ordinal()+1)%PlayerId.COUNT);\\n }\\n }\",\n \"@Override\\n public void doAction() {\\n this.game.setComputerStartsFirst(false);\\n }\",\n \"@Override\\n public void startNewGame() {\\n reset();\\n winnerDialogShown_ = false;\\n sendGameChangedEvent(null); // get the info panel to refresh with 1st players name\\n Player firstPlayer = controller.getPlayers().getFirstPlayer();\\n\\n if (firstPlayer.isSurrogate()) {\\n doSurrogateMove((SurrogateMultiPlayer) firstPlayer);\\n }\\n else if (!firstPlayer.isHuman()) {\\n controller.computerMovesFirst();\\n }\\n }\",\n \"void fireShellAtOpponent(int playerNr);\",\n \"public void win()\\r\\n {\\n Actor win;\\r\\n win=getOneObjectAtOffset(0,0,Goal.class);\\r\\n if (win !=null)\\r\\n {\\r\\n World myWorld=getWorld();\\r\\n Congrats cong=new Congrats();\\r\\n myWorld.addObject(cong,myWorld.getWidth()/2,myWorld.getHeight()/2); //(Greenfoot,2013) \\r\\n \\r\\n Greenfoot.stop();\\r\\n Greenfoot.playSound(\\\"finish.wav\\\"); //(Sound-Ideas,2014)\\r\\n \\r\\n }\\r\\n }\",\n \"void userMoveRequested(int playerIndex);\",\n \"@Override\\r\\n\\tpublic void uniqueOnStartInteraction() {\\n\\t\\tif (Main.clientPlayer.getNumWood() < cost) {\\r\\n\\t\\t\\tMain.clientPlayer.stopInteraction();\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"public void startGame() {\\n\\t\\tif (chordImpl.getPredecessorID().compareTo(chordImpl.getID()) > 0) {\\n\\t\\t\\tGUIMessageQueue.getInstance().addMessage(\\\"I Start!\\\");\\n\\t\\t\\tshoot();\\n\\t\\t}\\n\\t}\",\n \"public void switchPlayer(){\\n // Menukar giliran player dalam bermain\\n Player temp = this.currentPlayer;\\n this.currentPlayer = this.oppositePlayer;\\n this.oppositePlayer = temp;\\n }\",\n \"@Override\\n public void interact(Object obj) {\\n // TODO: Cave Code - Add additional Agility to the player while on this Tile\\n }\",\n \"@Override\\n\\tpublic void moveExecStart(Counter player) {\\n\\n\\t}\",\n \"private void chooseStartPlayer() throws IOExceptionFromController {\\n try {\\n game.setActivePlayer(playerControllers.get(0).getClient().chooseStartingPlayer(players));\\n } catch (IOException | InterruptedException e) {\\n throw new IOExceptionFromController(e, playerControllers.get(0));\\n }\\n }\",\n \"void win(Player player);\",\n \"private void enterSinglePlayerMode(Game game) {\\n if (!game.isStarted() && !game.isGameOver()) {\\n game.startGame();\\n initSubSystems(game);\\n stateSession.initialGame = new Game(game);\\n }\\n }\",\n \"public Player() {\\n\\t\\t\\n\\t\\tif (Main.role == 0) this.role = Role.Attacker;\\n\\t\\tif (Main.role == 1) this.role = Role.Defender;\\n\\t\\t\\n\\t\\tnavigator = Main.nav;\\n\\t\\t\\n\\t\\tballGrabber = new BallGrab();\\n\\t\\t\\n\\t\\tballPlatform[0] = Main.upperRightX + 35; //120\\n\\t\\tballPlatform[1] = Main.upperRightY - 8; //165\\n\\t\\t\\n\\t\\tstartingCorner = Main.startingCorner;\\n\\t\\t\\n\\t\\t\\n\\t}\",\n \"@Override\\n public boolean interact(EntityPlayer player)\\n {\\n if (!super.interact(player)) return false;\\n \\n targetHelicopter = null; // inactivate ai\\n \\n return true;\\n }\",\n \"@Override\\n public void interact(Player player) {\\n if(player.getHasKey()) {\\n System.out.println(\\\"You turn the key in the keyhole.\\\");\\n openDoor(player);\\n } else {\\n System.out.println(\\\"It's a really old door made out of murky dark wood. On the right side of the door, there is a handle in pure gold. \\\\n \\\" +\\n \\\"The sparkling handle seems out of place in comparisson to the rest of the door. You try to turn it, but the door seems locked. \\\\n \\\" +\\n \\\"Underneath the handle you spot a keyhole. ....*NÖFF*.... something... or someone seems to be on the other side\\\");\\n }\\n }\",\n \"public void playOne(VirtualPet player) {\\n\\t\\tplayer.playPet();\\n\\t}\",\n \"private void suarez() {\\n\\t\\ttry {\\n\\t\\t\\tThread.sleep(5000); // espera, para dar tempo de ver as mensagens iniciais\\n\\t\\t} catch (InterruptedException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\tint xInit = -10;\\n\\t\\tint yInit = 8;\\n\\t\\tplayerDeafaultPosition = new Vector2D(xInit*selfPerception.getSide().value(), yInit*selfPerception.getSide().value());\\n\\t\\twhile (commander.isActive()) {\\n\\t\\t\\t\\n\\t\\t\\tupdatePerceptions(); // deixar aqui, no começo do loop, para ler o resultado do 'move'\\n\\t\\t\\tswitch (matchPerception.getState()) {\\n\\t\\t\\tcase BEFORE_KICK_OFF:\\n\\t\\t\\t\\tcommander.doMoveBlocking(xInit, yInit);\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase PLAY_ON:\\n\\t\\t\\t\\t//state = State.FOLLOW;\\n\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase KICK_OFF_LEFT:\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.LEFT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase KICK_OFF_RIGHT:\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase CORNER_KICK_LEFT: // escanteio time esquerdo\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.LEFT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase CORNER_KICK_RIGHT: // escanteio time direito\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase KICK_IN_LEFT: // lateral time esquerdo\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.LEFT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\tcase KICK_IN_RIGHT: // lateal time direito\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase FREE_KICK_LEFT: // Tiro livre time esquerdo\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.LEFT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase FREE_KICK_RIGHT: // Tiro Livre time direito\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase FREE_KICK_FAULT_LEFT:\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.LEFT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase FREE_KICK_FAULT_RIGHT:\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase GOAL_KICK_LEFT:\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.LEFT) {\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase GOAL_KICK_RIGHT:\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase AFTER_GOAL_LEFT:\\n\\t\\t\\t\\tcommander.doMoveBlocking(xInit, yInit);\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase AFTER_GOAL_RIGHT:\\n\\t\\t\\t\\tcommander.doMoveBlocking(xInit, yInit);\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase INDIRECT_FREE_KICK_LEFT:\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.LEFT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tcase INDIRECT_FREE_KICK_RIGHT:\\n\\t\\t\\t\\tif (selfPerception.getSide() == EFieldSide.RIGHT) {\\n\\t\\t\\t\\t\\tstate = State.PASSING_BALL;\\n\\t\\t\\t\\t\\texecuteStateMachine();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\tdefault:\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\t}\",\n \"@Override\\n public boolean isPlayer() {\\n return super.isPlayer();\\n }\",\n \"@Override\\r\\n\\t\\t\\tpublic void playGame() {\\n\\t\\t\\t\\tSystem.out.println(\\\"隐式调用接口\\\");\\r\\n\\t\\t\\t}\",\n \"public void startGame(){\\n\\n AgentAddress coordinatorAddressPre = getAgentWithRole(\\\"investment_game\\\", \\\"tout_le_monde\\\", \\\"coordinator\\\");\\n\\n if (coordinatorAddressPre==null){\\n Coordinator coordinator = new Coordinator();\\n\\n launchAgent(coordinator);\\n\\n pause(1000);\\n }\\n\\n Set<Player> players = new HashSet<Player>();\\n Player primaryPlayer = null;\\n\\n //now launch all human player avatar agents, each of them will be initialized as agent having a GUI frame\\n Iterator<GameSpecification.PlayerSpecification> playerSpecs = gameSpecification.getPlayerSpecifications().iterator();\\n\\n int launchedHumanPlayers = 0;\\n\\n while (playerSpecs.hasNext()){\\n GameSpecification.PlayerSpecification spec = playerSpecs.next();\\n\\n if (spec instanceof GameSpecification.HumanPlayerSpecification){\\n\\n HumanPlayerAvatar humanPlayerAvatar = new HumanPlayerAvatar(spec.getName());\\n\\n launchAgent(humanPlayerAvatar,true);\\n\\n players.add(humanPlayerAvatar);\\n\\n launchedHumanPlayers++;\\n\\n if (null == primaryPlayer){\\n primaryPlayer=humanPlayerAvatar;\\n }\\n\\n }\\n }\\n\\n //launch computer player agents. If no human players have been launched, the first computer player will display a GUI frame.\\n playerSpecs = gameSpecification.getPlayerSpecifications().iterator();\\n\\n boolean first = true;\\n\\n while (playerSpecs.hasNext()){\\n GameSpecification.PlayerSpecification spec = playerSpecs.next();\\n\\n if (spec instanceof GameSpecification.ComputerPlayerSpecification){\\n\\n ChooseAmountStrategy chooseAmountStrategy = ((GameSpecification.ComputerPlayerSpecification) spec).getChooseAmountStrategy();\\n\\n SelectOpponentStrategy selectOpponentStrategy = ((GameSpecification.ComputerPlayerSpecification) spec).getSelectOpponentStrategy();\\n \\n ComputerPlayer computerPlayer = new ComputerPlayer(spec.getName(),spec.getPictureFileName(), chooseAmountStrategy, selectOpponentStrategy);\\n\\n chooseAmountStrategy.setPlayer(computerPlayer);\\n\\n selectOpponentStrategy.setPlayer(computerPlayer);\\n\\n launchAgent(computerPlayer, launchedHumanPlayers == 0 && first);\\n\\n players.add(computerPlayer);\\n\\n if (null == primaryPlayer){\\n primaryPlayer=computerPlayer;\\n }\\n\\n first = false;\\n\\n }\\n }\\n\\n //request new game from coordinator\\n AgentAddress coordinatorAddress;\\n\\n while((coordinatorAddress = getAgentWithRole(\\\"investment_game\\\",\\\"tout_le_monde\\\",\\\"coordinator\\\"))==null){\\n pause(750);\\n }\\n\\n String requestGameSpec = \\\"<new_game> <for> \\\"+gameSpecification.getPlayerSpecifications().size()+\\\" <players> <having> \\\"+gameSpecification.getRounds()+\\\" <rounds> <invite> 0 <computer_players>\\\";\\n\\n ActMessage reply = (ActMessage)sendMessageWithRoleAndWaitForReply(coordinatorAddress,new ActMessage(\\\"request_game\\\",requestGameSpec),\\\"jeromes_assistant\\\");\\n\\n if (reply.getAction().equals(\\\"game_initialized\\\")){\\n\\n final String gameId = reply.getContent();\\n\\n //let players join the game\\n Iterator<Player> playerIterator = players.iterator();\\n\\n while (playerIterator.hasNext()){\\n\\n final Player player = playerIterator.next();\\n final boolean isPrimaryPlayer = player.equals(primaryPlayer);\\n\\n new Thread(){\\n @Override\\n public void run() {\\n player.joinGame(gameId,isPrimaryPlayer,player.getPicturePath());\\n }\\n }.start();\\n\\n }\\n }else{\\n //TODO throw Exception\\n }\\n\\n }\",\n \"public void playTopHat() {\\n\\t\\tSystem.out.println(\\\"ding ding da-ding\\\");\\n\\t\\t\\n\\t}\",\n \"public void beginTurn(){\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7148206","0.6582443","0.6531266","0.65207475","0.6481238","0.64773095","0.64619696","0.6460105","0.6416956","0.63705754","0.63666695","0.63666695","0.63479596","0.6313949","0.62781715","0.62774974","0.6276841","0.6268168","0.62591857","0.6246966","0.62411153","0.62344706","0.62344706","0.6218323","0.6197614","0.6191203","0.61866724","0.6170302","0.615768","0.613","0.6114573","0.61126065","0.6101385","0.60946375","0.6088831","0.6086048","0.60757464","0.6058178","0.60539097","0.6034128","0.6028429","0.60169476","0.601366","0.6009345","0.6006919","0.6001866","0.59861326","0.5985885","0.59810925","0.59782857","0.5974592","0.59713477","0.5969802","0.59577274","0.5957018","0.59538484","0.59534514","0.5952927","0.59519404","0.5949439","0.59319484","0.5930842","0.5930395","0.59270203","0.59253097","0.59173006","0.59167135","0.5903921","0.59007424","0.5898237","0.5895708","0.58838004","0.5882763","0.58782184","0.5863936","0.5863044","0.58598256","0.585828","0.58507615","0.585008","0.58495486","0.5845659","0.58442277","0.5839948","0.5836871","0.58356506","0.5824554","0.5816486","0.58147424","0.58146197","0.5811647","0.58050436","0.5804392","0.5799648","0.57921386","0.5789131","0.5785438","0.5780379","0.5779333","0.5772655"],"string":"[\n \"0.7148206\",\n \"0.6582443\",\n \"0.6531266\",\n \"0.65207475\",\n \"0.6481238\",\n \"0.64773095\",\n \"0.64619696\",\n \"0.6460105\",\n \"0.6416956\",\n \"0.63705754\",\n \"0.63666695\",\n \"0.63666695\",\n \"0.63479596\",\n \"0.6313949\",\n \"0.62781715\",\n \"0.62774974\",\n \"0.6276841\",\n \"0.6268168\",\n \"0.62591857\",\n \"0.6246966\",\n \"0.62411153\",\n \"0.62344706\",\n \"0.62344706\",\n \"0.6218323\",\n \"0.6197614\",\n \"0.6191203\",\n \"0.61866724\",\n \"0.6170302\",\n \"0.615768\",\n \"0.613\",\n \"0.6114573\",\n \"0.61126065\",\n \"0.6101385\",\n \"0.60946375\",\n \"0.6088831\",\n \"0.6086048\",\n \"0.60757464\",\n \"0.6058178\",\n \"0.60539097\",\n \"0.6034128\",\n \"0.6028429\",\n \"0.60169476\",\n \"0.601366\",\n \"0.6009345\",\n \"0.6006919\",\n \"0.6001866\",\n \"0.59861326\",\n \"0.5985885\",\n \"0.59810925\",\n \"0.59782857\",\n \"0.5974592\",\n \"0.59713477\",\n \"0.5969802\",\n \"0.59577274\",\n \"0.5957018\",\n \"0.59538484\",\n \"0.59534514\",\n \"0.5952927\",\n \"0.59519404\",\n \"0.5949439\",\n \"0.59319484\",\n \"0.5930842\",\n \"0.5930395\",\n \"0.59270203\",\n \"0.59253097\",\n \"0.59173006\",\n \"0.59167135\",\n \"0.5903921\",\n \"0.59007424\",\n \"0.5898237\",\n \"0.5895708\",\n \"0.58838004\",\n \"0.5882763\",\n \"0.58782184\",\n \"0.5863936\",\n \"0.5863044\",\n \"0.58598256\",\n \"0.585828\",\n \"0.58507615\",\n \"0.585008\",\n \"0.58495486\",\n \"0.5845659\",\n \"0.58442277\",\n \"0.5839948\",\n \"0.5836871\",\n \"0.58356506\",\n \"0.5824554\",\n \"0.5816486\",\n \"0.58147424\",\n \"0.58146197\",\n \"0.5811647\",\n \"0.58050436\",\n \"0.5804392\",\n \"0.5799648\",\n \"0.57921386\",\n \"0.5789131\",\n \"0.5785438\",\n \"0.5780379\",\n \"0.5779333\",\n \"0.5772655\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6350383"},"document_rank":{"kind":"string","value":"12"}}},{"rowIdx":32591,"cells":{"query":{"kind":"string","value":"Will get destroyed next tick."},"document":{"kind":"string","value":"@Override\r\n public void setDead()\r\n {\r\n if (!worldObj.isRemote && !this.isDead)\r\n {\r\n if (blocks != null)\r\n {\r\n for (ItemStack[][] barrarr : blocks)\r\n {\r\n for (ItemStack[] barr : barrarr)\r\n for (ItemStack b : barr)\r\n {\r\n if (b != null) this.entityDropItem(b, 0.5f);\r\n }\r\n }\r\n if (this.getHeldItem() != null) this.entityDropItem(getHeldItem(), 1);\r\n }\r\n }\r\n super.setDead();\r\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public void destroy() {\n\t\tdestroyRadius();\r\n\t\tisDestroyed = true;\r\n\t\ttimer.stop();\r\n\t\tthis.x -= 50;\r\n\t\tthis.y -= 50;\r\n\t\ttimer.setDelay(100);\r\n\t\ttimer.start();\r\n\t}","void decrementTick();","synchronized void destroy() {\n destroyed = true;\n }","public void tick() {\n if (alpha > life ){\n alpha -= (life - 0.0001f);\n }else {\n handler.removeObject(this);\n }\n }","public void destroy() {\n this.alive = false;\n }","public void destroy(){\n destroyed = true;\n }","public void destroyed() {\n\t\twidth = SIZE_INC * width;\n\t\t// make the end points at the new location\n\t\tthis.makeEndPoints(width, (0 - (xSpeed * width)),\n\t\t\t\t(0 - (ySpeed * width)));\n\n\t}","public void update() {\n\t\tthis.tickCounter++;\n\t\tif(tickCounter == 10) {\n\t\t\tthis.lifetime--;\n\t\t\tif(this.lifetime == 0) {\n\t\t\t\tthis.remove();\n\t\t\t}\n\t\t\tthis.tickCounter = 0;\n\t\t}\n\t}","public void destroy() {\n\t\tif(timer!=null) {\n\t\t\ttimer.purge();\n\t\t\ttimer.cancel();\n\t\t}\n\t}","@Override\r\n\tprotected void onDestroy() {\n\t\tsuper.onDestroy();\r\n\t\tstopTimer();\r\n\t}","@Override\n\tpublic void onDestroy() {\n\t\ttimer.cancel();\n\t\tsuper.onDestroy();\n\t}","@Override\n protected void onDestroy() {\n mTimer.removeMessages(0);//메시지를 지워서 메모리릭 방지\n super.onDestroy();\n }","public void tick() {\n --this.peekTime;\n }","public void destroy()\r\n\t{\r\n\t\tlog.fine(\"destroy\");\r\n\t}","public void destroy() {\n this.deleteObservers();\n timer.stop();\n }","public void mo21869k() {\n mo21833b(\"onDestroy\");\n this.f24530b.mo22072m();\n mo21796U();\n }","public void destroy() {\n \n if (indexTimer != null)\n indexTimer.cancel();\n \n }","private void onResponseTimerTick()\r\n {\r\n EneterTrace aTrace = EneterTrace.entering();\r\n try\r\n {\r\n cleanAfterConnection(true, true);\r\n }\r\n finally\r\n {\r\n EneterTrace.leaving(aTrace);\r\n }\r\n }","public void destroy() {\n destroyIn(0);\n }","@Override\n protected void afterKill() {\n if (timeAfterDeath > 0) {\n --timeAfterDeath;\n } else {\n if (finalAnimation > 0) {\n --finalAnimation;\n } else {\n remove();\n }\n }\n }","@Override\r\n\t\tpublic void destroy() {\n\t\t\t\r\n\t\t}","public void destroy() {\n\t\tgone = true;\n\t}","public void kill() {\r\n \t\tthis.isDead = true;\r\n \t}","public void destroy() {\n destroying = true;\n }","@Override\n\tpublic void onDestroy() {\n\t\tthis.async.cancel(true);\n\t\tthis.timer.removeCallbacks(this.refresh);\n\t\tsuper.onDestroy();\n\n\t}","@Override\r\n\tpublic void destroy()\r\n\t{\n\t\t\r\n\t}","private void worldTimerDecrementer() {\n worldTimer--;\n }","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","@Override\r\n\tpublic void destroy() {\n\t\t\r\n\t}","public void destroy()\r\n\t{\n\t\t\r\n\t}","public void invalidateTickerHeartbeat() {\n\t\t// Invalidate last tick timetamps\n\t\tsynchronized (lastTick) {\n\t\t\tlastTickTimestamp.clear();\t\n\t\t}\n\t}","public void destroy() {\n\t\t\r\n\t}","public void destroy() {\n\t\t\r\n\t}","public void destroy() {\n\t\t\r\n\t}","public void destroy() {\n\t\t\r\n\t}","public synchronized void stop(){\n\t\tif (tickHandle != null){\n\t\t\ttickHandle.cancel(false);\n\t\t\ttickHandle = null;\n\t\t}\n\t}","@Override\r\n\tprotected void onDestroy() {\n\t\tsuper.onDestroy();\r\n\t\tmovingArea = null;\r\n\t}","@Override\t\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n public void destroy() {\n }","@Override\n\tpublic void despawn() {\n\t\t\n\t}","@Override\r\n public void destroy() {\n }","@Override\r\n public void destroy() {\n }","@Override\n public void destroy() {\n }","public void kill() { _isAlive = false; }","public void destroy() {}","public void destroy() {}","protected void onTick() {\n//Count down\nif (w > 0) {\nSystem.out.println(w + \" seconds left.\");\n\nw--;\n} else {\nSystem.out.println(\"Bye, bye\");\nmyAgent.doDelete(); //Delete this agent\n}\n}","public void destroy()\r\n {\n }","@Override\r\n\tpublic void onDestroy() {\n\t\tsuper.onDestroy();\r\n\t\tif (wt != null && !wt.isCancelled()) {\r\n\t\t\twt.cancel(true);\r\n\t\t}\r\n\t}","public void destroy()\r\n {\r\n }","@Override\n public void onDestroy()\n {\n if (mTts != null)\n {\n mTts.stop();\n mTts.shutdown();\n }\n super.onDestroy();\n }","public void destroy() {\r\n }","@Override\n public void kill() {\n alive = false;\n Board.getInstance().setPoints(points);\n }","@Override\n public void destroy() {\n }","@Override\n public void destroy() {\n }","@Override\n public void destroy() {\n }","@Override\n public void destroy() {\n }","@Override\n public void destroy() {\n }","private final void kill() {\n\t\tgrown=false;\t\t\n\t}","public void destroy() {\r\n\r\n\t}","public void onTick(long i) {\n life--;\n y++;\n }","public void destroy() {\n\n\t}","public void destroy() {\n\n\t}","public void destroy() {\n\n\t}","public void destroy() {\n\n\t}","public void destroy() {\n\n\t}","public void destroy() {\n\n\t}","@Override\n protected void onDestroy() {\n if (mTts != null)\n {\n mTts.stop();\n mTts.shutdown();\n }\n super.onDestroy();\n }","public void destroy() {\n \t\n }","public void destroy(float delay){\n\t\tdestroyTime = Math.min(destroyTime, Main.time + delay);\n\t}","protected void kill() {\n\t\tsetDeathTime(0.6);\n\t}","public void destroy() {\n \n }","public void destroy()\r\n\t{\r\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}","@Override\n\tpublic void destroy() {\n\t\t\n\t}"],"string":"[\n \"public void destroy() {\\n\\t\\tdestroyRadius();\\r\\n\\t\\tisDestroyed = true;\\r\\n\\t\\ttimer.stop();\\r\\n\\t\\tthis.x -= 50;\\r\\n\\t\\tthis.y -= 50;\\r\\n\\t\\ttimer.setDelay(100);\\r\\n\\t\\ttimer.start();\\r\\n\\t}\",\n \"void decrementTick();\",\n \"synchronized void destroy() {\\n destroyed = true;\\n }\",\n \"public void tick() {\\n if (alpha > life ){\\n alpha -= (life - 0.0001f);\\n }else {\\n handler.removeObject(this);\\n }\\n }\",\n \"public void destroy() {\\n this.alive = false;\\n }\",\n \"public void destroy(){\\n destroyed = true;\\n }\",\n \"public void destroyed() {\\n\\t\\twidth = SIZE_INC * width;\\n\\t\\t// make the end points at the new location\\n\\t\\tthis.makeEndPoints(width, (0 - (xSpeed * width)),\\n\\t\\t\\t\\t(0 - (ySpeed * width)));\\n\\n\\t}\",\n \"public void update() {\\n\\t\\tthis.tickCounter++;\\n\\t\\tif(tickCounter == 10) {\\n\\t\\t\\tthis.lifetime--;\\n\\t\\t\\tif(this.lifetime == 0) {\\n\\t\\t\\t\\tthis.remove();\\n\\t\\t\\t}\\n\\t\\t\\tthis.tickCounter = 0;\\n\\t\\t}\\n\\t}\",\n \"public void destroy() {\\n\\t\\tif(timer!=null) {\\n\\t\\t\\ttimer.purge();\\n\\t\\t\\ttimer.cancel();\\n\\t\\t}\\n\\t}\",\n \"@Override\\r\\n\\tprotected void onDestroy() {\\n\\t\\tsuper.onDestroy();\\r\\n\\t\\tstopTimer();\\r\\n\\t}\",\n \"@Override\\n\\tpublic void onDestroy() {\\n\\t\\ttimer.cancel();\\n\\t\\tsuper.onDestroy();\\n\\t}\",\n \"@Override\\n protected void onDestroy() {\\n mTimer.removeMessages(0);//메시지를 지워서 메모리릭 방지\\n super.onDestroy();\\n }\",\n \"public void tick() {\\n --this.peekTime;\\n }\",\n \"public void destroy()\\r\\n\\t{\\r\\n\\t\\tlog.fine(\\\"destroy\\\");\\r\\n\\t}\",\n \"public void destroy() {\\n this.deleteObservers();\\n timer.stop();\\n }\",\n \"public void mo21869k() {\\n mo21833b(\\\"onDestroy\\\");\\n this.f24530b.mo22072m();\\n mo21796U();\\n }\",\n \"public void destroy() {\\n \\n if (indexTimer != null)\\n indexTimer.cancel();\\n \\n }\",\n \"private void onResponseTimerTick()\\r\\n {\\r\\n EneterTrace aTrace = EneterTrace.entering();\\r\\n try\\r\\n {\\r\\n cleanAfterConnection(true, true);\\r\\n }\\r\\n finally\\r\\n {\\r\\n EneterTrace.leaving(aTrace);\\r\\n }\\r\\n }\",\n \"public void destroy() {\\n destroyIn(0);\\n }\",\n \"@Override\\n protected void afterKill() {\\n if (timeAfterDeath > 0) {\\n --timeAfterDeath;\\n } else {\\n if (finalAnimation > 0) {\\n --finalAnimation;\\n } else {\\n remove();\\n }\\n }\\n }\",\n \"@Override\\r\\n\\t\\tpublic void destroy() {\\n\\t\\t\\t\\r\\n\\t\\t}\",\n \"public void destroy() {\\n\\t\\tgone = true;\\n\\t}\",\n \"public void kill() {\\r\\n \\t\\tthis.isDead = true;\\r\\n \\t}\",\n \"public void destroy() {\\n destroying = true;\\n }\",\n \"@Override\\n\\tpublic void onDestroy() {\\n\\t\\tthis.async.cancel(true);\\n\\t\\tthis.timer.removeCallbacks(this.refresh);\\n\\t\\tsuper.onDestroy();\\n\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy()\\r\\n\\t{\\n\\t\\t\\r\\n\\t}\",\n \"private void worldTimerDecrementer() {\\n worldTimer--;\\n }\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"public void destroy()\\r\\n\\t{\\n\\t\\t\\r\\n\\t}\",\n \"public void invalidateTickerHeartbeat() {\\n\\t\\t// Invalidate last tick timetamps\\n\\t\\tsynchronized (lastTick) {\\n\\t\\t\\tlastTickTimestamp.clear();\\t\\n\\t\\t}\\n\\t}\",\n \"public void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"public void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"public void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"public void destroy() {\\n\\t\\t\\r\\n\\t}\",\n \"public synchronized void stop(){\\n\\t\\tif (tickHandle != null){\\n\\t\\t\\ttickHandle.cancel(false);\\n\\t\\t\\ttickHandle = null;\\n\\t\\t}\\n\\t}\",\n \"@Override\\r\\n\\tprotected void onDestroy() {\\n\\t\\tsuper.onDestroy();\\r\\n\\t\\tmovingArea = null;\\r\\n\\t}\",\n \"@Override\\t\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n public void destroy() {\\n }\",\n \"@Override\\n\\tpublic void despawn() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n public void destroy() {\\n }\",\n \"@Override\\r\\n public void destroy() {\\n }\",\n \"@Override\\n public void destroy() {\\n }\",\n \"public void kill() { _isAlive = false; }\",\n \"public void destroy() {}\",\n \"public void destroy() {}\",\n \"protected void onTick() {\\n//Count down\\nif (w > 0) {\\nSystem.out.println(w + \\\" seconds left.\\\");\\n\\nw--;\\n} else {\\nSystem.out.println(\\\"Bye, bye\\\");\\nmyAgent.doDelete(); //Delete this agent\\n}\\n}\",\n \"public void destroy()\\r\\n {\\n }\",\n \"@Override\\r\\n\\tpublic void onDestroy() {\\n\\t\\tsuper.onDestroy();\\r\\n\\t\\tif (wt != null && !wt.isCancelled()) {\\r\\n\\t\\t\\twt.cancel(true);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public void destroy()\\r\\n {\\r\\n }\",\n \"@Override\\n public void onDestroy()\\n {\\n if (mTts != null)\\n {\\n mTts.stop();\\n mTts.shutdown();\\n }\\n super.onDestroy();\\n }\",\n \"public void destroy() {\\r\\n }\",\n \"@Override\\n public void kill() {\\n alive = false;\\n Board.getInstance().setPoints(points);\\n }\",\n \"@Override\\n public void destroy() {\\n }\",\n \"@Override\\n public void destroy() {\\n }\",\n \"@Override\\n public void destroy() {\\n }\",\n \"@Override\\n public void destroy() {\\n }\",\n \"@Override\\n public void destroy() {\\n }\",\n \"private final void kill() {\\n\\t\\tgrown=false;\\t\\t\\n\\t}\",\n \"public void destroy() {\\r\\n\\r\\n\\t}\",\n \"public void onTick(long i) {\\n life--;\\n y++;\\n }\",\n \"public void destroy() {\\n\\n\\t}\",\n \"public void destroy() {\\n\\n\\t}\",\n \"public void destroy() {\\n\\n\\t}\",\n \"public void destroy() {\\n\\n\\t}\",\n \"public void destroy() {\\n\\n\\t}\",\n \"public void destroy() {\\n\\n\\t}\",\n \"@Override\\n protected void onDestroy() {\\n if (mTts != null)\\n {\\n mTts.stop();\\n mTts.shutdown();\\n }\\n super.onDestroy();\\n }\",\n \"public void destroy() {\\n \\t\\n }\",\n \"public void destroy(float delay){\\n\\t\\tdestroyTime = Math.min(destroyTime, Main.time + delay);\\n\\t}\",\n \"protected void kill() {\\n\\t\\tsetDeathTime(0.6);\\n\\t}\",\n \"public void destroy() {\\n \\n }\",\n \"public void destroy()\\r\\n\\t{\\r\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tpublic void destroy() {\\n\\t\\t\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6680622","0.66337997","0.6623467","0.6618789","0.661351","0.6560057","0.6524197","0.64671904","0.6457083","0.6448506","0.63837004","0.6366098","0.63352895","0.6332573","0.62864316","0.628445","0.62659186","0.62508684","0.62411886","0.62333196","0.6210527","0.6200753","0.61948884","0.6189826","0.6180835","0.61769915","0.6146445","0.614502","0.614502","0.614502","0.614502","0.614502","0.614502","0.614502","0.614502","0.614502","0.614502","0.614502","0.614502","0.614502","0.614502","0.6122591","0.61207277","0.6110321","0.6110321","0.6110321","0.6110321","0.6091892","0.6082606","0.60781395","0.60743773","0.60725504","0.60535556","0.60535556","0.605314","0.6047305","0.6042726","0.6042726","0.60420203","0.6033792","0.6032665","0.6031965","0.60300314","0.60266244","0.6023469","0.6020721","0.6020721","0.6020721","0.6020721","0.6020721","0.6012017","0.6010463","0.6004935","0.6004505","0.6004505","0.6004505","0.6004505","0.6004505","0.6004505","0.5992291","0.5978152","0.5976252","0.5972473","0.5971928","0.5971711","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907","0.59696907"],"string":"[\n \"0.6680622\",\n \"0.66337997\",\n \"0.6623467\",\n \"0.6618789\",\n \"0.661351\",\n \"0.6560057\",\n \"0.6524197\",\n \"0.64671904\",\n \"0.6457083\",\n \"0.6448506\",\n \"0.63837004\",\n \"0.6366098\",\n \"0.63352895\",\n \"0.6332573\",\n \"0.62864316\",\n \"0.628445\",\n \"0.62659186\",\n \"0.62508684\",\n \"0.62411886\",\n \"0.62333196\",\n \"0.6210527\",\n \"0.6200753\",\n \"0.61948884\",\n \"0.6189826\",\n \"0.6180835\",\n \"0.61769915\",\n \"0.6146445\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.614502\",\n \"0.6122591\",\n \"0.61207277\",\n \"0.6110321\",\n \"0.6110321\",\n \"0.6110321\",\n \"0.6110321\",\n \"0.6091892\",\n \"0.6082606\",\n \"0.60781395\",\n \"0.60743773\",\n \"0.60725504\",\n \"0.60535556\",\n \"0.60535556\",\n \"0.605314\",\n \"0.6047305\",\n \"0.6042726\",\n \"0.6042726\",\n \"0.60420203\",\n \"0.6033792\",\n \"0.6032665\",\n \"0.6031965\",\n \"0.60300314\",\n \"0.60266244\",\n \"0.6023469\",\n \"0.6020721\",\n \"0.6020721\",\n \"0.6020721\",\n \"0.6020721\",\n \"0.6020721\",\n \"0.6012017\",\n \"0.6010463\",\n \"0.6004935\",\n \"0.6004505\",\n \"0.6004505\",\n \"0.6004505\",\n \"0.6004505\",\n \"0.6004505\",\n \"0.6004505\",\n \"0.5992291\",\n \"0.5978152\",\n \"0.5976252\",\n \"0.5972473\",\n \"0.5971928\",\n \"0.5971711\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\",\n \"0.59696907\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":32592,"cells":{"query":{"kind":"string","value":"Precalculate the different planes needed"},"document":{"kind":"string","value":"public void update(Matrix4f viewProjectionMatrix) {\n for (int i = 0; i < 6; ++i) {\n planes[i] = viewProjectionMatrix.frustumPlane(i, planes[i]);\n }\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["protected final void resetClipPlanes()\n {\n // set the point for each plane to the viewer position\n Vector3d loc = myPosition.getLocation();\n myLeftClip.setPoint(loc);\n myRightClip.setPoint(loc);\n myBottomClip.setPoint(loc);\n myTopClip.setPoint(loc);\n myRightClip.setNormal(myPosition.getRight().rotate(myPosition.getUp(), Math.PI - myHalfFOVx));\n myLeftClip.setNormal(myPosition.getRight().rotate(myPosition.getUp(), myHalfFOVx));\n myBottomClip.setNormal(myPosition.getUp().rotate(myPosition.getRight(), -myHalfFOVy));\n // Increase the top clip a bit to account for zoomed in with terrain.\n myTopClip.setNormal(myPosition.getUp().rotate(myPosition.getRight(), myHalfFOVy - Math.PI + ourTopClipIncreaseAngle));\n }","public void setPlanes(ArrayList planes) {\n this.planes = planes;\n }","public void setPlanes(List<Plan> planes) {\n\t\tthis.planes = planes;\n\t}","private void init() {\r\n\tlocals = new float[maxpoints * 3];\r\n\ti = new float[] {1, 0, 0};\r\n\tj = new float[] {0, 1, 0};\r\n\tk = new float[] {0, 0, 1};\r\n\ti_ = new float[] {1, 0, 0};\r\n\tk_ = new float[] {0, 0, 1};\r\n }","public Plane() {\r\n\t\tvecX = new Vector3D();\r\n\t\tvecY = new Vector3D();\r\n\t\tnorm = new Vector3D();\r\n\t\tthis.setD(0);\r\n\t\tpos = new Position3D();\r\n\t}","void restoreBefore() {\r\n\t\t\tsurface.basemap.clear();\r\n\t\t\tsurface.basemap.putAll(basemapBefore);\r\n\t\t\tsurface.buildingmap.clear();\r\n\t\t\tsurface.buildingmap.putAll(buildingmapBefore);\r\n\t\t\tsurface.features.clear();\r\n\t\t\tsurface.features.addAll(surfaceBefore);\r\n\t\t\tsurface.buildings.clear();\r\n\t\t\tsurface.buildings.addAll(buildingsBefore);\r\n\t\t}","private void createLayers() {\n mAktieCubeLayers[kUp] = new AktieCubeLayer(AktieCubeLayer.kAxisY);\n mAktieCubeLayers[kDown] = new AktieCubeLayer(AktieCubeLayer.kAxisY);\n mAktieCubeLayers[kLeft] = new AktieCubeLayer(AktieCubeLayer.kAxisX);\n mAktieCubeLayers[kRight] = new AktieCubeLayer(AktieCubeLayer.kAxisX);\n mAktieCubeLayers[kFront] = new AktieCubeLayer(AktieCubeLayer.kAxisZ);\n mAktieCubeLayers[kBack] = new AktieCubeLayer(AktieCubeLayer.kAxisZ);\n mAktieCubeLayers[kMiddle] = new AktieCubeLayer(AktieCubeLayer.kAxisX);\n mAktieCubeLayers[kEquator] = new AktieCubeLayer(AktieCubeLayer.kAxisY);\n mAktieCubeLayers[kSide] = new AktieCubeLayer(AktieCubeLayer.kAxisZ);\n }","public void pre() {\r\n if(!isTiling) return;\r\n if(firstFrame) firstFrame=false;\r\n else if(secondFrame) {\r\n secondFrame=false;\r\n tileInc();\r\n }\r\n setupCamera();\r\n }","private Matrix performPlanarCalibration(ArrayList<double[]> points2d_in, ArrayList<double[]> points3d_in, int planeID) {\n\t\tint numberOfPoints = points2d_in.size();\n\t\tMatrix A = new Matrix(numberOfPoints * 2, 8);\n\t\tMatrix B = new Matrix(numberOfPoints * 2, 1);\n\t\tint coordinateIndex = 0;\n\t\tif (planeID == 0) coordinateIndex = 1;\n\t\tif (planeID == 1) coordinateIndex = 0;\n\t\tfor (int i = 0; i < numberOfPoints; i++) {\n\t\t\tint c = 0;\n\t\t\tA.set(2*i, c++, points3d_in.get(i)[coordinateIndex]);\n\t\t\tA.set(2*i, c++, points3d_in.get(i)[2]);\n\t\t\tA.set(2*i, c++, 1.0);\n\t\t\tA.set(2*i, c++, 0.0);\n\t\t\tA.set(2*i, c++, 0.0);\n\t\t\tA.set(2*i, c++, 0.0);\n\t\t\tA.set(i << 1, c++, -points2d_in.get(i)[0] * points3d_in.get(i)[coordinateIndex]);\n\t\t\tA.set(i << 1, c++, -points2d_in.get(i)[0] * points3d_in.get(i)[2]);\n\t\t\tc = 0;\n\t\t\tA.set(i * 2 + 1, c++, 0.0);\n\t\t\tA.set(i * 2 + 1, c++, 0.0);\n\t\t\tA.set(i * 2 + 1, c++, 0.0);\n\t\t\tA.set(i * 2 + 1, c++, points3d_in.get(i)[coordinateIndex]);\n\t\t\tA.set(i * 2 + 1, c++, points3d_in.get(i)[2]);\n\t\t\tA.set(i * 2 + 1, c++, 1.0);\n\t\t\tA.set(i * 2 + 1, c++, -(points2d_in).get(i)[1] * (points3d_in).get(i)[coordinateIndex]);\n\t\t\tA.set(i * 2 + 1, c++, -(points2d_in).get(i)[1] * (points3d_in).get(i)[2]);\n\t\t\tB.set(i * 2, points2d_in.get(i)[0]);\n\t\t\tB.set(i * 2 + 1, points2d_in.get(i)[1]);\n\t\t}\n\t\tMatrix x = A.inverse().mul(B);\n\t\tMatrix prj = new Matrix(3, 3);\n\t\tfor (int i = 0; i < 8; i++) {\n\t\t\tprj.set(i / 3, i % 3, x.get(i, 0));\n\t\t}\n\t\tprj.set(2, 2, 1.0);\n\t\tMatrix P = new Matrix(3, 4);\n\t\tfor (int i = 0; i < 3; i++) {\n\t\t\tint c = 0;\n\t\t\tfor (int j = 0; j < 4; j++) {\n\t\t\t\tif (j == planeID)\n\t\t\t\t\tP.set(i, j, 0.0);\n\t\t\t\telse\n\t\t\t\t\tP.set(i, j, prj.get(i, c++));\n\t\t\t}\n\t\t}\n\t\treturn P;\n\t}","public void leerPlanesDietas();","private void arretes_fY(){\n\t\tthis.cube[49] = this.cube[46]; \n\t\tthis.cube[46] = this.cube[48];\n\t\tthis.cube[48] = this.cube[52];\n\t\tthis.cube[52] = this.cube[50];\n\t\tthis.cube[50] = this.cube[49];\n\t}","public static vtkPlaneCollection computeClippingPlane(Canvas canvas, Point pressPosition, Point releasePosition)\n\t{\n\t\tvtkRenderer render = canvas.GetRenderer();\n\t\tvtkPlaneCollection planes = new vtkPlaneCollection();\n\t\tvtkPlane plane = null;\n\t\tdouble[] p1;\n\t\tdouble[] p2;\n\t\tdouble[] p3;\n\n\t\t/**\n\t\t * These are the two points in the screen that define the different clipping planes\n\t\t */\n\t\tint[][] pos1 =\n\t\t{\n\t\t\t{\n\t\t\t\tpressPosition.x, pressPosition.y\n\t\t\t}, // Left plane\n\n\t\t\t{\n\t\t\t\treleasePosition.x, pressPosition.y\n\t\t\t}, // Top plane\n\n\t\t\t{\n\t\t\t\treleasePosition.x, releasePosition.y\n\t\t\t}, // Right plane\n\n\t\t\t{\n\t\t\t\tpressPosition.x, releasePosition.y\n\t\t\t} // Bottom plane\n\n\t\t};\n\t\tint[][] pos2 =\n\t\t{\n\t\t\t{\n\t\t\t\tpressPosition.x, releasePosition.y\n\t\t\t},\n\t\t\t{\n\t\t\t\tpressPosition.x, pressPosition.y\n\t\t\t},\n\t\t\t{\n\t\t\t\treleasePosition.x, pressPosition.y\n\t\t\t},\n\t\t\t{\n\t\t\t\treleasePosition.x, releasePosition.y\n\t\t\t}\n\t\t};\n\n\t\tfor (int i = 0; i < 4; ++i)\n\t\t{\n\t\t\tplane = new vtkPlane();\n\t\t\trender.SetDisplayPoint(pos1[i][0], pos1[i][1], 0.);\n\t\t\trender.DisplayToWorld();\n\t\t\tp1 = render.GetWorldPoint();\n\t\t\trender.SetDisplayPoint(pos1[i][0], pos1[i][1], 1.);\n\t\t\trender.DisplayToWorld();\n\t\t\tp2 = render.GetWorldPoint();\n\t\t\trender.SetDisplayPoint(pos2[i][0], pos2[i][1], 1.);\n\t\t\trender.DisplayToWorld();\n\t\t\tp3 = render.GetWorldPoint();\n\n\t\t\t// Compute two vectors of the plane\n\t\t\tVector3d v1 = new Vector3d();\n\t\t\tVector3d v2 = new Vector3d();\n\t\t\tVector3d n = new Vector3d();\n\n\t\t\tv1.set(p2);\n\t\t\tv2.set(p1);\n\t\t\tn.set(p3);\n\t\t\tv1.sub(v2);\n\t\t\tv2.sub(n);\n\n\t\t\t// Compute cross product (the normal of the plane) between p1 and p2\n\t\t\tn.cross(v1, v2);\n\t\t\tn.normalize();\n\n\t\t\tplane.SetNormal(n.x, n.y, n.z);\n\t\t\tplane.SetOrigin(p1);\n\t\t\tplanes.AddItem(plane);\n\t\t}\n\t\t\n\t\treturn planes;\n\t}","public void recalculateVertices() {\n\t\tfinal Image image = this.image.get();\n\t\tvertices[0].setSample(image.getWidth() * 1 / 2,\n\t\t image.getHeight() * 3 / 10,\n\t\t image.getWidth() / 10,\n\t\t image.getHeight() / 10,\n\t\t image.getWidth(), image.getHeight());\n\t\tvertices[1].setSample(image.getWidth() * 3 / 10,\n\t\t image.getHeight() * 7 / 10,\n\t\t image.getWidth() / 10,\n\t\t image.getHeight() / 10,\n\t\t image.getWidth(), image.getHeight());\n\t\tvertices[2].setSample(image.getWidth() * 7 / 10,\n\t\t image.getHeight() * 7 / 10,\n\t\t image.getWidth() / 10,\n\t\t image.getHeight() / 10,\n\t\t image.getWidth(), image.getHeight());\n\t}","private void aretes_aR(){\n\t\tthis.cube[13] = this.cube[52]; \n\t\tthis.cube[52] = this.cube[19];\n\t\tthis.cube[19] = this.cube[1];\n\t\tthis.cube[1] = this.cube[28];\n\t\tthis.cube[28] = this.cube[13];\n\t}","private void arretes_fR(){\n\t\tthis.cube[13] = this.cube[10]; \n\t\tthis.cube[10] = this.cube[12];\n\t\tthis.cube[12] = this.cube[16];\n\t\tthis.cube[16] = this.cube[14];\n\t\tthis.cube[14] = this.cube[13];\n\t}","private void init() {\r\n\r\n\t\tPlanetLayoutGenerator gen = new PlanetLayoutGenerator();\r\n\t\tint planetCount = 15;\r\n\t\tint width = 5, height = 5, depth = 5;\r\n\t\tint[][][] layout = gen.generate(width, height, depth, planetCount);\r\n\t\tfinal float minSize = 4, maxSize = 10;\r\n\t\tfinal float gap = (C.World.PlanetBoxSize - maxSize*width)/(width-1);\r\n\r\n\t\tTextureRegion textures[] = new TextureRegion[] {\r\n\t\t\tassets.planetNeptune,\r\n\t\t\tassets.planetSaturn,\r\n\t\t\tassets.planetEarth,\r\n\t\t};\r\n\t\tfloat x = -C.World.PlanetBoxSize/2 + maxSize/2;\r\n\t\tfloat y = -C.World.PlanetBoxSize/2 + maxSize/2;\r\n\t\tfloat z = -C.World.PlanetBoxSize/2 + maxSize/2;\r\n\r\n\t\tfor (int ix = 0; ix < width; ++ix) {\r\n\t\t\tfor (int iy = 0; iy < height; ++iy) {\r\n\t\t\t\tfor (int iz = 0; iz < depth; ++iz) {\r\n\t\t\t\t\tif (layout[ix][iy][iz] == 1) {\r\n\t\t\t\t\t\tTextureRegion tex = textures[(ix+iy+iz)%3];\r\n\t\t\t\t\t\tfloat size = MathUtils.random(minSize, maxSize);\r\n\r\n\t\t\t\t\t\tfactory.createPlanet(x+ix*(maxSize+gap), y+iy*(maxSize+gap), z+iz*(maxSize+gap), size, 0, tex);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\tEntity player = factory.createPlayerShip(0, 0, 5);\r\n\t\tplayerSystem.setPlayer(player);\r\n\r\n\t\tcollisions.relations.connectGroups(CollisionGroups.PLAYER_2D, CollisionGroups.PLANETS_2D);\r\n\t}","public void\n doExtraInformation(Ray inRay, double inT, \n GeometryIntersectionInformation outData) {\n outData.p = lastInfo.p;\n\n switch ( lastPlane ) {\n case 1:\n outData.n.x = 0;\n outData.n.y = 0;\n outData.n.z = 1;\n outData.u = outData.p.y / size.y - 0.5;\n outData.v = 1-(outData.p.x / size.x - 0.5);\n outData.t.x = 0;\n outData.t.y = 1;\n outData.t.z = 0;\n break;\n case 2:\n outData.n.x = 0;\n outData.n.y = 0;\n outData.n.z = -1;\n outData.u = outData.p.y / size.y - 0.5;\n outData.v = outData.p.x / size.x - 0.5;\n outData.t.x = 0;\n outData.t.y = 1;\n outData.t.z = 0;\n break;\n case 3:\n outData.n.x = 0;\n outData.n.z = 0;\n outData.n.y = 1;\n outData.u = 1-(outData.p.x / size.x - 0.5);\n outData.v = outData.p.z / size.z - 0.5;\n outData.t.x = -1;\n outData.t.y = 0;\n outData.t.z = 0;\n break;\n case 4:\n outData.n.x = 0;\n outData.n.z = 0;\n outData.n.y = -1;\n outData.u = outData.p.x / size.x - 0.5;\n outData.v = outData.p.z / size.z - 0.5;\n outData.t.x = 1;\n outData.t.y = 0;\n outData.t.z = 0;\n break;\n case 5:\n outData.n.x = 1;\n outData.n.y = 0;\n outData.n.z = 0;\n outData.u = outData.p.y / size.y - 0.5;\n outData.v = outData.p.z / size.z - 0.5;\n outData.t.x = 0;\n outData.t.y = 1;\n outData.t.z = 0;\n break;\n case 6:\n outData.n.x = -1;\n outData.n.y = 0;\n outData.n.z = 0;\n outData.u = 1-(outData.p.y / size.y - 0.5);\n outData.v = outData.p.z / size.z - 0.5;\n outData.t.x = 0;\n outData.t.y = -1;\n outData.t.z = 0;\n break;\n default:\n outData.u = 0;\n outData.v = 0;\n break;\n }\n }","Plane getPlane();","protected void initTransforms() {\n for (int i = 0; i < cornerCount; i++) {\n int index = cornerOffset + i;\n identityVertexMatrix[index] = new idx3d_Matrix();\n }\n\n // 0:urf\n identityVertexMatrix[cornerOffset + 0].rotate(0, -HALF_PI, 0);\n // 1:dfr\n identityVertexMatrix[cornerOffset + 1].rotate(0, 0, PI);\n // 2:ubr\n identityVertexMatrix[cornerOffset + 2].rotate(0, PI, 0);\n // 3:drb\n identityVertexMatrix[cornerOffset + 3].rotate(0, 0, PI);\n identityVertexMatrix[cornerOffset + 3].rotate(0, -HALF_PI, 0);\n // 4:ulb\n identityVertexMatrix[cornerOffset + 4].rotate(0, HALF_PI, 0);\n // 5:dbl\n identityVertexMatrix[cornerOffset + 5].rotate(PI, 0, 0);\n // 6:ufl\n //--no transformation---\n // 7:dlf\n identityVertexMatrix[cornerOffset + 7].rotate(0, HALF_PI, 0);\n identityVertexMatrix[cornerOffset + 7].rotate(PI, 0, 0);\n //\n // We can clone the normalmatrix here form the vertex matrix, because\n // the vertex matrix consists of rotations only.\n for (int i = 0; i < cornerCount; i++) {\n identityNormalMatrix[i] = identityVertexMatrix[i].getClone();\n }\n\n /**\n * Edges\n */\n // Move all edge parts to front up (fu) and then rotate them in place\n for (int i = 0; i < edgeCount; i++) {\n int index = edgeOffset + i;\n idx3d_Matrix vt = new idx3d_Matrix();\n idx3d_Matrix nt = new idx3d_Matrix();\n identityVertexMatrix[index] = vt;\n identityNormalMatrix[index] = nt;\n // The vertex matrix is the same as the normal matrix, but with\n // an additional shift, which is made before the rotation.\n if (i >= 12) {\n switch ((i - 12) % 24) {\n case 12:\n case 13:\n case 2:\n case 3:\n case 4:\n case 17:\n case 6:\n case 19:\n case 20:\n case 21:\n case 10:\n case 11:\n vt.shift(PART_LENGTH*((i+12)/24), 0f, 0f);\n break;\n default:\n vt.shift(-PART_LENGTH*((i+12)/24), 0f, 0f);\n break;\n }\n }\n // Now we do the rotation with the normal matrix only\n switch (i % 12) {\n case 0: // ur\n nt.rotate(0, HALF_PI, 0f);\n nt.rotate(0, 0, HALF_PI);\n break;\n case 1: // rf\n nt.rotate(0, -HALF_PI, 0);\n nt.rotate(HALF_PI, 0, 0);\n break;\n case 2: // dr\n nt.rotate(0, -HALF_PI, HALF_PI);\n break;\n case 3: // bu\n nt.rotate(0, PI, 0);\n break;\n case 4: // rb\n nt.rotate(0, 0, HALF_PI);\n nt.rotate(0, -HALF_PI, 0);\n break;\n case 5: // bd\n nt.rotate(PI, 0, 0);\n break;\n case 6: // ul\n nt.rotate(-HALF_PI, -HALF_PI, 0);\n break;\n case 7: // lb\n nt.rotate(0, 0, -HALF_PI);\n nt.rotate(0, HALF_PI, 0);\n break;\n case 8: // dl\n nt.rotate(HALF_PI, HALF_PI, 0);\n break;\n case 9: // fu\n //--no transformation--\n break;\n case 10: // lf\n nt.rotate(0, 0, HALF_PI);\n nt.rotate(0, HALF_PI, 0);\n break;\n case 11: // fd\n nt.rotate(0, 0, PI);\n break;\n }\n // Finally, we concatenate the rotation to the vertex matrix\n vt.transform(nt);\n }\n /* Sides\n */\n // Move all side parts to the front side and rotate them into place\n for (int i = 0; i < sideCount; i++) {\n int index = sideOffset + i;\n idx3d_Matrix vt = new idx3d_Matrix();\n idx3d_Matrix nt = new idx3d_Matrix();\n identityVertexMatrix[index] = vt;\n identityNormalMatrix[index] = nt;\n // The vertex matrix is the same as the normal matrix, but with\n // an additional shift, which is made before the rotation.\n switch (i / 6) {\n // central part\n case 0 :\n // vt.shift(0, 0, 0);\n break;\n // inner ring\n case 1:\n vt.shift(-PART_LENGTH, -PART_LENGTH, 0);\n break;\n case 2:\n vt.shift(-PART_LENGTH, PART_LENGTH, 0);\n break;\n case 3:\n vt.shift(PART_LENGTH, PART_LENGTH, 0);\n break;\n case 4:\n vt.shift(PART_LENGTH, -PART_LENGTH, 0);\n break;\n case 5:\n vt.shift(0, -PART_LENGTH, 0);\n break;\n case 6:\n vt.shift(-PART_LENGTH, 0, 0);\n break;\n case 7:\n vt.shift(0, PART_LENGTH, 0);\n break;\n case 8:\n vt.shift(PART_LENGTH, 0, 0);\n break;\n // outer ring corners\n /*\n * +---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+\n * | .0 | .2 | .3 | .1 |\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\n * | |75 |129|81 |105|57 | | |62 |140|92 |116|68 | | |66 |144|96 |120|72 | | |59 |137|89 |113|65 | |\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\n * | |123|27 |33 | 9 |135| | |110|14 |44 |20 |146| | |114|18 |48 |24 |126| | |107|11 |41 |17 |143| |\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\n * | .3|99 |51 | 3 |39 |87 |.1 | .1|86 |38 | 2 |50 |98 |.3 | .2|90 |42 | 0 |30 |78 |.0 | .0|83 |35 | 5 |47 |95 |.2 |\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\n * | |147|21 |45 |15 |111| | |134| 8 |32 |26 |122| | |138|12 |36 | 6 |102| | |131|29 |53 |23 |119| |\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\n * | |69 |117|93 |141|63 | | |56 |104|80 |128|74 | | |60 |108|84 |132|54 | | |77 |125|101|149|71 | |\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\n * | .2 | .0 | .1 | .3 |\n * +---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+\n */\n case 9:\n vt.shift(-2f*PART_LENGTH, -2f*PART_LENGTH, 0);\n break;\n case 10:\n vt.shift(-2f*PART_LENGTH, 2f*PART_LENGTH, 0);\n break;\n case 11:\n vt.shift(2f*PART_LENGTH, 2f*PART_LENGTH, 0);\n break;\n case 12:\n vt.shift(2f*PART_LENGTH, -2f*PART_LENGTH, 0);\n break;\n // outer ring central edges\n case 13:\n vt.shift(0, -2f*PART_LENGTH, 0);\n break;\n case 14:\n vt.shift(-2f*PART_LENGTH, 0, 0);\n break;\n case 15:\n vt.shift(0, 2f*PART_LENGTH, 0);\n break;\n case 16:\n vt.shift(2f*PART_LENGTH, 0, 0);\n break;\n // outer ring clockwise shifted edges\n case 17:\n vt.shift(-PART_LENGTH, -2f*PART_LENGTH, 0);\n break;\n case 18:\n vt.shift(-2f*PART_LENGTH, PART_LENGTH, 0);\n break;\n case 19:\n vt.shift(PART_LENGTH, 2f*PART_LENGTH, 0);\n break;\n case 20:\n vt.shift(2f*PART_LENGTH, -PART_LENGTH, 0);\n break;\n // outer ring counter-clockwise shifted edges\n case 21:\n vt.shift(PART_LENGTH, -2f*PART_LENGTH, 0);\n break;\n case 22:\n vt.shift(-2f*PART_LENGTH, -PART_LENGTH, 0);\n break;\n case 23:\n vt.shift(-PART_LENGTH, 2f*PART_LENGTH, 0);\n break;\n case 24:\n vt.shift(2f*PART_LENGTH, PART_LENGTH, 0);\n break;\n\n }\n\n switch (i % 6) {\n case 0 : // r\n nt.rotate(0f, 0f, -HALF_PI);\n nt.rotate(0f, -HALF_PI, 0f);\n break;\n case 1 : // u\n nt.rotate(0f, 0f, HALF_PI);\n nt.rotate(-HALF_PI, 0f, 0f);\n break;\n case 2 : // f\n //--no transformation--\n break;\n case 3 : // l\n nt.rotate(0f, 0f, PI);\n nt.rotate(0f, HALF_PI, 0f);\n break;\n case 4 : // d\n nt.rotate(0f, 0f, PI);\n nt.rotate(HALF_PI, 0f, 0f);\n break;\n case 5 : // b\n nt.rotate(0f, 0f, HALF_PI);\n nt.rotate(0f, PI, 0f);\n break;\n }\n // Finally, we concatenate the rotation to the vertex matrix\n vt.transform(nt);\n }\n\n\n // Center part\n identityVertexMatrix[centerOffset] = new idx3d_Matrix();\n identityNormalMatrix[centerOffset] = new idx3d_Matrix();\n\n // copy all vertex locationTransforms into the normal locationTransforms.\n // create the locationTransforms\n for (int i = 0; i < partCount; i++) {\n\n locationTransforms[i] = new idx3d_Group();\n locationTransforms[i].matrix.set(identityVertexMatrix[i]);\n locationTransforms[i].normalmatrix.set(identityNormalMatrix[i]);\n\n explosionTransforms[i] = new idx3d_Group();\n explosionTransforms[i].addChild(parts[i]);\n locationTransforms[i].addChild(explosionTransforms[i]);\n }\n }","private static void option3(List<Runway> runways, Queue<Plane> unclearedPlanes) {\n \n }","protected void preparePainting() {\n if (paintRegion == null) {\n prepareRegionProperties();\n prepareOption();\n }\n\n calculateCameraMatrix();\n }","public static void main(String[] args) {\n\t\tplanes.initialize();\n\t\tplanes.percent();\n\t}","public InhomogeneousPlanarImagingSurface(\n\t\t\tVector3D pointOnPlane, Vector3D u, Vector3D v, Vector3D n,\n\t\t\tVector3D objectPosition, Vector3D imagePosition,\n\t\t\tParameterCalculationMethod parameterCalculation,\n\t\t\tdouble parameterValue\n\t\t)\n\t{\n\t\t// copy the parameters that can simply be copied\n\t\tthis.pointOnPlane = pointOnPlane;\n\t\tsetUVN(u, v, n);\n\t\t\n\t\t// now calculate everything else, following the Mathematica notebook \"gCLAsMapping.nb\"\n\t\t\n\t\t// calculate the parameters of the object and image position in the uvn coordinates (pointOnPlane is origin)\n\t\tVector3D o = Vector3D.difference(objectPosition, pointOnPlane).toBasis(uHat, vHat, nHat);\n\t\tVector3D i = Vector3D.difference(imagePosition, pointOnPlane).toBasis(uHat, vHat, nHat);\n\t\t\n\t\tswitch(parameterCalculation)\n\t\t{\n\t\tcase SET_ETA:\n\t\t\teta = parameterValue;\n\t\t\t\n\t\t\t// the focal length\n\t\t\tf = i.z*o.z/(o.z*eta - i.z);\n\t\t\t\n\t\t\t// the coordinates of the lens centre\n\t\t\tuCOverF = (i.x*o.z*eta - i.z*o.x)/i.z*o.z;\n\t\t\tvCOverF = (i.y*o.z*eta - i.z*o.y)/i.z*o.z;\n\t\t\t\n\t\t\tbreak;\n\t\tcase SET_F:\n\t\tdefault:\n\t\t\tf = parameterValue;\n\t\t\t\n\t\t\t// the other parameters\n\t\t\tuCOverF = (i.x*o.z/f + i.x - o.x)/o.z;\n\t\t\tvCOverF = (i.y*o.z/f + i.y - o.y)/o.z;\n\t\t\teta = (i.z*o.z/f + i.z )/o.z;\n\t\t}\n\t}","private void arretes_fO(){\n\t\tthis.cube[40] = this.cube[37]; \n\t\tthis.cube[37] = this.cube[39];\n\t\tthis.cube[39] = this.cube[43];\n\t\tthis.cube[43] = this.cube[41];\n\t\tthis.cube[41] = this.cube[40];\n\t}","private void arretes_fW(){\n\t\tthis.cube[4] = this.cube[1]; \n\t\tthis.cube[1] = this.cube[3];\n\t\tthis.cube[3] = this.cube[7];\n\t\tthis.cube[7] = this.cube[5];\n\t\tthis.cube[5] = this.cube[4];\n\t}","private void aretes_aY(){\n\t\tthis.cube[49] = this.cube[43]; \n\t\tthis.cube[43] = this.cube[21];\n\t\tthis.cube[21] = this.cube[10];\n\t\tthis.cube[10] = this.cube[32];\n\t\tthis.cube[32] = this.cube[49];\n\t}","private void aretes_aW(){\n\t\tthis.cube[4] = this.cube[16]; \n\t\tthis.cube[16] = this.cube[23];\n\t\tthis.cube[23] = this.cube[37];\n\t\tthis.cube[37] = this.cube[30];\n\t\tthis.cube[30] = this.cube[4];\n\t}","public Matrix determineProjectionMatrix(ArrayList<double[]> corners, ArrayList<double[]> pointList2D, ArrayList<double[]> pointList3D) {\n\t\tMatrix projectionMatrix = new Matrix();\n\t\tArrayList<double[]> yzPlane2DPoints = new ArrayList<double[]>();\n\t\tArrayList<double[]> yzPlane3DPoints = new ArrayList<double[]>();\n\t\tArrayList<double[]> xzPlane2DPoints = new ArrayList<double[]>();\n\t\tArrayList<double[]> xzPlane3DPoints = new ArrayList<double[]>();\n\t\tfor (int i=0;i<pointList3D.size();i++) {\n\t\t\tif (pointList3D.get(i)[1] == 0) {\n\t\t\t\txzPlane2DPoints.add(pointList2D.get(i));\n\t\t\t\txzPlane3DPoints.add(pointList3D.get(i));\n\t\t\t} else if (pointList3D.get(i)[0] == 0) {\n\t\t\t\tyzPlane2DPoints.add(pointList2D.get(i));\n\t\t\t\tyzPlane3DPoints.add(pointList3D.get(i));\n\t\t\t}\n\t\t}\n\t\tArrayList<double[]> final2D = new ArrayList<double[]>();\n\t\tArrayList<double[]> final3D = new ArrayList<double[]>();\n\t\tif ((xzPlane2DPoints.size() >= 4 && yzPlane2DPoints.size() >= 4)) {\n\t\t\tdouble gridSize = 0.5;\n\t\t\tdouble max_u, max_v;\n\t\t\tint[] gridCount = new int[3];\n\t\t\tif (yzPlane2DPoints.size() >= 4) {\n\t\t\t\tMatrix P_YZ = performPlanarCalibration(yzPlane2DPoints, yzPlane3DPoints, 0);\n\t\t\t\tmax_u = 0;\n\t\t\t\tmax_v = 0;\n\t\t\t\tfor (int i = 0; i < yzPlane3DPoints.size(); i++) {\n\t\t\t\t\tmax_u = Math.max(yzPlane3DPoints.get(i)[1], max_u);\n\t\t\t\t\tmax_v = Math.max(yzPlane3DPoints.get(i)[2], max_v);\n\t\t\t\t}\n\t\t\t\tgridCount[0] = 1;\n\t\t\t\tgridCount[1] = (int) Math.floor(max_u / gridSize + 1.5);\n\t\t\t\tgridCount[2] = (int) Math.floor(max_v / gridSize + 1.5);\n\t\t\t\tobtainRefiningPoints(corners, P_YZ, gridSize, gridCount, final2D, final3D);\n\t\t\t}\n\t\t\tif (xzPlane2DPoints.size() >= 4) {\n\t\t\t\tMatrix P_XZ = performPlanarCalibration(xzPlane2DPoints, xzPlane3DPoints, 1);\n\t\t\t\tmax_u = 0;\n\t\t\t\tmax_v = 0;\n\t\t\t\tfor (int i = 0; i < (int) xzPlane3DPoints.size(); i++) {\n\t\t\t\t\tmax_u = Math.max(xzPlane3DPoints.get(i)[0], max_u);\n\t\t\t\t\tmax_v = Math.max(xzPlane3DPoints.get(i)[2], max_v);\n\t\t\t\t}\n\t\t\t\tgridCount[0] = (int) Math.floor(max_u / gridSize + 1.5);\n\t\t\t\tgridCount[1] = 1;\n\t\t\t\tgridCount[2] = (int) Math.floor(max_v / gridSize + 1.5);\n\t\t\t\tobtainRefiningPoints(corners, P_XZ, gridSize, gridCount, final2D, final3D);\n\t\t\t}\n\t\t}\n\t\tcorners.clear();\n\t\tcorners.addAll(final2D);\n\t\tpointList2D.clear();\n\t\tpointList2D.addAll(final2D);\n\t\tpointList3D.clear();\n\t\tpointList3D.addAll(final3D);\n\t\treturn performCalibration(final2D, final3D);\n\t}","private void arretes_fG(){\n\t\tthis.cube[31] = this.cube[28]; \n\t\tthis.cube[28] = this.cube[30];\n\t\tthis.cube[30] = this.cube[34];\n\t\tthis.cube[34] = this.cube[32];\n\t\tthis.cube[32] = this.cube[31];\n\t}","public int getPlanesLanded() {\r\n return planesLanded;\r\n }","private float[] calculatePlaneTransform(double[] point, double normal[],\n float[] openGlTdepth) {\n // Vector aligned to gravity.\n float[] openGlUp = new float[]{0, 1, 0, 0};\n float[] depthTOpenGl = new float[16];\n Matrix.invertM(depthTOpenGl, 0, openGlTdepth, 0);\n\n float[] depthUp = new float[4];\n Matrix.multiplyMV(depthUp, 0, depthTOpenGl, 0, openGlUp, 0);\n\n // Create the plane matrix transform in depth frame from a point,\n // the plane normal and the up vector.\n float[] depthTplane = matrixFromPointNormalUp(point, normal, depthUp);\n float[] openGlTplane = new float[16];\n Matrix.multiplyMM(openGlTplane, 0, openGlTdepth, 0, depthTplane, 0);\n\n return openGlTplane;\n }","float[][] getCameraVectorsNormal(int resX, int resY){\n float vectors[][]=new float[resX*resY][3];//first vector index, second the components of the vector\n float[] vect2=rotateYVector(dir);\n vect2[1]=0;\n vect2=normalize(vect2);\n float[] vect3=normalize(vectorProduct(dir, vect2));//dir, vect2, vect3 base vectors\n float[] x={0,0,0};\n float[] y={0,0,0};\n float[] temp={0,0,0};\n for(int i=0;i<3;i++){\n x[i]=(vect2[i])/(resX/2);\n y[i]=(vect3[i])/(resY/2);\n temp[i]=vect2[i];\n }\n \n for(int j=0;j<resY;j++){\n for(int i=0;i<resX;i++){\n vectors[j*resX+i][0]=dir[0]+vect2[0]+vect3[0];\n vectors[j*resX+i][1]=dir[1]+vect2[1]+vect3[1];\n vectors[j*resX+i][2]=dir[2]+vect2[2]+vect3[2];\n vectors[j*resX+i]=normalize(vectors[j*resX+i]);\n vect2[0]-=x[0];\n vect2[1]-=x[1];\n vect2[2]-=x[2];\n if((vectorLength(vect2)>(-0.0001)&&vectorLength(vect2)<0.0001)&&(resX%2)==0){\n vect2[0]-=x[0];\n vect2[1]-=x[1];\n vect2[2]-=x[2];\n }\n }\n //printVector(temp);\n vect2[0]=temp[0];\n vect2[1]=temp[1];\n vect2[2]=temp[2];\n vect3[0]-=y[0];\n vect3[1]-=y[1];\n vect3[2]-=y[2];\n if((vectorLength(vect3)>(-0.0001)&&vectorLength(vect3)<0.0001)&&(resY%2)==0){\n vect3[0]-=y[0];\n vect3[1]-=y[1];\n vect3[2]-=y[2];\n }\n }\n \n return vectors;\n }","private void prepare()\n {\n addObject(new TempoLimite(), 432, 207);\n addObject(new NumeroVidas(), 395, 278);\n\n Cliqueparajogar clique = new Cliqueparajogar();\n addObject(clique, getWidth()/2, getHeight()/2);\n\n Som som = new Som();\n addObject(som, getWidth() - 37, getHeight()-57);\n \n umMin ummin = new umMin();\n addObject(ummin,630,206);\n\n doisMin doismin = new doisMin();\n addObject(doismin,670,206);\n \n tresMin tresmin = new tresMin();\n addObject(tresmin,710,206);\n \n quatroMin quatromin = new quatroMin();\n addObject(quatromin,750,206);\n \n cincoMin cincomin = new cincoMin();\n addObject(cincomin,790,206);\n \n umaVida umavida = new umaVida();\n addObject(umavida,630,280);\n \n duasVidas duasvidas = new duasVidas();\n addObject(duasvidas,670,280);\n \n tresVidas tresvidas = new tresVidas();\n addObject(tresvidas,710,280);\n \n quatroVidas quatrovidas = new quatroVidas();\n addObject(quatrovidas,750,280);\n \n cincoVidas cincovidas = new cincoVidas();\n addObject(cincovidas,790,280);\n \n voltaratras voltar = new voltaratras();\n addObject(voltar, getWidth() -37, 428);\n }","float[][] getCameraVectors(int resX, int resY){\n float vectors[][]=new float[resX*resY][3];//first vector index, second the components of the vector\n float[] vect2=rotateYVector(dir);\n vect2[1]=0;\n vect2=normalize(vect2);\n float[] vect3=normalize(vectorProduct(dir, vect2));//dir, vect2, vect3 base vectors\n float[] x={0,0,0};\n float[] y={0,0,0};\n float[] temp={0,0,0};\n for(int i=0;i<3;i++){\n x[i]=(vect2[i])/(resX/2);\n y[i]=(vect3[i])/(resY/2);\n temp[i]=vect2[i];\n }\n \n for(int j=0;j<resY;j++){\n for(int i=0;i<resX;i++){\n vectors[j*resX+i][0]=dir[0]+vect2[0]+vect3[0];\n vectors[j*resX+i][1]=dir[1]+vect2[1]+vect3[1];\n vectors[j*resX+i][2]=dir[2]+vect2[2]+vect3[2];\n vect2[0]-=x[0];\n vect2[1]-=x[1];\n vect2[2]-=x[2];\n if((vectorLength(vect2)>(-0.0001)&&vectorLength(vect2)<0.0001)&&(resX%2)==0){\n vect2[0]-=x[0];\n vect2[1]-=x[1];\n vect2[2]-=x[2];\n }\n }\n //printVector(temp);\n vect2[0]=temp[0];\n vect2[1]=temp[1];\n vect2[2]=temp[2];\n vect3[0]-=y[0];\n vect3[1]-=y[1];\n vect3[2]-=y[2];\n if((vectorLength(vect3)>(-0.0001)&&vectorLength(vect3)<0.0001)&&(resY%2)==0){\n vect3[0]-=y[0];\n vect3[1]-=y[1];\n vect3[2]-=y[2];\n }\n }\n \n return vectors;\n }","private void updateLayers() {\n AktieCubeLayer aktieCubeLayer;\n AktieCubeShape[] shapes;\n int i, j, k;\n\n // up layer\n aktieCubeLayer = mAktieCubeLayers[kUp];\n shapes = aktieCubeLayer.mShapes;\n for (i = 0; i < 9; i++)\n shapes[i] = mAktieCubes[mPermutation[i]];\n\n // down layer\n aktieCubeLayer = mAktieCubeLayers[kDown];\n shapes = aktieCubeLayer.mShapes;\n for (i = 18, k = 0; i < 27; i++)\n shapes[k++] = mAktieCubes[mPermutation[i]];\n\n // left layer\n aktieCubeLayer = mAktieCubeLayers[kLeft];\n shapes = aktieCubeLayer.mShapes;\n for (i = 0, k = 0; i < 27; i += 9)\n for (j = 0; j < 9; j += 3)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n\n // right layer\n aktieCubeLayer = mAktieCubeLayers[kRight];\n shapes = aktieCubeLayer.mShapes;\n for (i = 2, k = 0; i < 27; i += 9)\n for (j = 0; j < 9; j += 3)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n\n // front layer\n aktieCubeLayer = mAktieCubeLayers[kFront];\n shapes = aktieCubeLayer.mShapes;\n for (i = 6, k = 0; i < 27; i += 9)\n for (j = 0; j < 3; j++)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n\n // back layer\n aktieCubeLayer = mAktieCubeLayers[kBack];\n shapes = aktieCubeLayer.mShapes;\n for (i = 0, k = 0; i < 27; i += 9)\n for (j = 0; j < 3; j++)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n\n // middle layer\n aktieCubeLayer = mAktieCubeLayers[kMiddle];\n shapes = aktieCubeLayer.mShapes;\n for (i = 1, k = 0; i < 27; i += 9)\n for (j = 0; j < 9; j += 3)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n\n // equator layer\n aktieCubeLayer = mAktieCubeLayers[kEquator];\n shapes = aktieCubeLayer.mShapes;\n for (i = 9, k = 0; i < 18; i++)\n shapes[k++] = mAktieCubes[mPermutation[i]];\n\n // side layer\n aktieCubeLayer = mAktieCubeLayers[kSide];\n shapes = aktieCubeLayer.mShapes;\n for (i = 3, k = 0; i < 27; i += 9)\n for (j = 0; j < 3; j++)\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\n }","static Vector4d computePlane(Vector3d a, Vector3d b, Vector3d c)\n\t{\n\t\tVector4d plane = new Vector4d();\n\t\t\n\t\tVector3d ab = new Vector3d();\n\t\tab.sub(b, a);\n\t\t\n\t\tVector3d ac = new Vector3d();\n\t\tac.sub(c, a);\n\t\t\n\t\tVector3d n = new Vector3d();\n\t\tn.cross(ab, ac);\n\t\tn.normalize();\n\t\t\n\t\tplane.set(n);\n\t\tplane.w = - a.dot(n);\n\t\t\n\t\treturn plane;\n\t}","private void renderSkybox(int p_73971_1_, int p_73971_2_, float p_73971_3_) {\n\t\tthis.mc.getFramebuffer().unbindFramebuffer();\n\t\tGlStateManager.viewport(0, 0, 256, 256);\n\t\tthis.drawPanorama(p_73971_1_, p_73971_2_, p_73971_3_);\n\t\tthis.rotateSkybox();\n\t\tthis.mc.getFramebuffer().bindFramebuffer(true);\n\t\tGlStateManager.viewport(0, 0, this.mc.displayWidth, this.mc.displayHeight);\n\t\tTessellator var4 = Tessellator.getInstance();\n\t\tWorldRenderer var5 = var4.getWorldRenderer();\n\t\tvar5.startDrawingQuads();\n\t\tfloat var6 = this.width > this.height ? 120.0F / (float) this.width : 120.0F / (float) this.height;\n\t\tfloat var7 = (float) this.height * var6 / 256.0F;\n\t\tfloat var8 = (float) this.width * var6 / 256.0F;\n\t\tvar5.func_178960_a(1.0F, 1.0F, 1.0F, 1.0F);\n\t\tint var9 = this.width;\n\t\tint var10 = this.height;\n\t\tvar5.addVertexWithUV(0.0D, (double) var10, (double) this.zLevel, (double) (0.5F - var7),\n\t\t\t\t(double) (0.5F + var8));\n\t\tvar5.addVertexWithUV((double) var9, (double) var10, (double) this.zLevel, (double) (0.5F - var7),\n\t\t\t\t(double) (0.5F - var8));\n\t\tvar5.addVertexWithUV((double) var9, 0.0D, (double) this.zLevel, (double) (0.5F + var7), (double) (0.5F - var8));\n\t\tvar5.addVertexWithUV(0.0D, 0.0D, (double) this.zLevel, (double) (0.5F + var7), (double) (0.5F + var8));\n\t\tvar4.draw();\n\t}","public List<PlanPrepago> mostrarPlanesPre()\n\t{\n\t\tString r = new String();\n\t\t\n\t\tPlan p;\n\t\tif (planes != null)\n\t\t{\n\t\t\tr = r.concat(\"#PLANES PREPAGO\\n\" + \"#Nombre ------ ValorMinuto\\n\");\n\t\t\tListIterator<Plan> it = planes.listIterator(0);\n\t\t\tList<PlanPrepago> li = new ArrayList<PlanPrepago>();\n\t\t\twhile(it.hasNext())\n\t\t\t{\n\t\t\t\tp = it.next();\n\t\t\t\tif(p instanceof PlanPrepago)\n\t\t\t\t\tli.add((PlanPrepago)p);\n\t\t\t\t\n\t\t\t}\n\t\t\t\n\t\t\tCollections.sort(li, new CompararNombresPlan());\n\t\t\treturn li;\n\t\t}\n\t\telse\n\t\t{\n\t\t\treturn null;\n\t\t}\n\t}","protected void computeGridParameters() {\n float padding = 0.02f * overlay.getScalingValue();\n boolean flipX = x2 < x1;\n float xx1 = flipX ? (x1 + padding) : (x1 - padding);\n float xx2 = flipX ? (x2 - padding) : (x2 + padding);\n boolean flipY = y2 < y1;\n float yy1 = flipY ? (y1 + padding) : (y1 - padding);\n float yy2 = flipY ? (y2 - padding) : (y2 + padding);\n \n xGrid1 = xx1; yGrid1 = yy1;\n xGrid2 = xx2; yGrid2 = yy1;\n xGrid3 = xx1; yGrid3 = yy2;\n xGrid4 = xx2; yGrid4 = yy2;\n horizGridCount = 3; vertGridCount = 3;\n }","public void init() {\n float xoff = 0;\n for (int i = 0; i < cols; i++) {\n float yoff = 0;\n for (int j = 0; j < rows; j++) {\n // Use perlin noise to get an angle between 0 and 2 PI\n float theta = map(noise(xoff,yoff),0,1,0,TWO_PI);\n // Polar to cartesian coordinate transformation to get x and y components of the vector\n field[i][j] = new PVector(cos(theta),sin(theta));\n yoff += 0.1f;\n }\n xoff += 0.1f;\n }\n }","private void prepare()\n {\n AmbulanceToLeft ambulanceToLeft = new AmbulanceToLeft();\n addObject(ambulanceToLeft,717,579);\n Car2ToLeft car2ToLeft = new Car2ToLeft();\n addObject(car2ToLeft,291,579);\n Car3 car3 = new Car3();\n addObject(car3,45,502);\n CarToLeft carToLeft = new CarToLeft();\n addObject(carToLeft,710,262);\n Car car = new Car();\n addObject(car,37,190);\n AmbulanceToLeft ambulanceToLeft2 = new AmbulanceToLeft();\n addObject(ambulanceToLeft2,161,264);\n }","public List<Plan> getPlanes() {\n\t\treturn planes;\n\t}","protected void engineReset()\r\n/* 79: */ {\r\n/* 80:143 */ this.V00 = IV[0];\r\n/* 81:144 */ this.V01 = IV[1];\r\n/* 82:145 */ this.V02 = IV[2];\r\n/* 83:146 */ this.V03 = IV[3];\r\n/* 84:147 */ this.V04 = IV[4];\r\n/* 85:148 */ this.V05 = IV[5];\r\n/* 86:149 */ this.V06 = IV[6];\r\n/* 87:150 */ this.V07 = IV[7];\r\n/* 88:151 */ this.V10 = IV[8];\r\n/* 89:152 */ this.V11 = IV[9];\r\n/* 90:153 */ this.V12 = IV[10];\r\n/* 91:154 */ this.V13 = IV[11];\r\n/* 92:155 */ this.V14 = IV[12];\r\n/* 93:156 */ this.V15 = IV[13];\r\n/* 94:157 */ this.V16 = IV[14];\r\n/* 95:158 */ this.V17 = IV[15];\r\n/* 96:159 */ this.V20 = IV[16];\r\n/* 97:160 */ this.V21 = IV[17];\r\n/* 98:161 */ this.V22 = IV[18];\r\n/* 99:162 */ this.V23 = IV[19];\r\n/* 100:163 */ this.V24 = IV[20];\r\n/* 101:164 */ this.V25 = IV[21];\r\n/* 102:165 */ this.V26 = IV[22];\r\n/* 103:166 */ this.V27 = IV[23];\r\n/* 104: */ }","public void setupCamera() {\r\n p.camera(width/2.0f, height/2.0f, cameraZ,\r\n width/2.0f, height/2.0f, 0, 0, 1, 0);\r\n\r\n if(isTiling) {\r\n float mod=1f/10f;\r\n p.frustum(width*((float)tileX/(float)tileNum-.5f)*mod,\r\n width*((tileX+1)/(float)tileNum-.5f)*mod,\r\n height*((float)tileY/(float)tileNum-.5f)*mod,\r\n height*((tileY+1)/(float)tileNum-.5f)*mod,\r\n cameraZ*mod, 10000);\r\n }\r\n\r\n }","private void aretes_aO(){\n\t\tthis.cube[40] = this.cube[7]; \n\t\tthis.cube[7] = this.cube[25];\n\t\tthis.cube[25] = this.cube[46];\n\t\tthis.cube[46] = this.cube[34];\n\t\tthis.cube[34] = this.cube[40];\n\t}","@Override // com.android.server.wm.WindowContainer\n public void prepareSurfaces() {\n Trace.traceBegin(32, \"prepareSurfaces\");\n try {\n ScreenRotationAnimation screenRotationAnimation = this.mWmService.mAnimator.getScreenRotationAnimationLocked(this.mDisplayId);\n SurfaceControl.Transaction transaction = getPendingTransaction();\n if (this.mIsFisrtLazyMode && this.mSingleHandContentEx != null) {\n this.mSingleHandContentEx.handleSingleHandMode(transaction, this.mWindowingLayer, this.mHwSingleHandOverlayLayer);\n this.mIsFisrtLazyMode = false;\n }\n if (screenRotationAnimation != null && screenRotationAnimation.isAnimating()) {\n screenRotationAnimation.getEnterTransformation().getMatrix().getValues(this.mTmpFloats);\n if (this.mWmService.mHwWMSEx.isNeedLandAni() && this.mDisplayId == 0) {\n resetMatrixValues(this.mTmpFloats);\n }\n float tmpScale = this.mWmService.getLazyMode() != 0 ? 0.75f : 1.0f;\n transaction.setMatrix(this.mWindowingLayer, this.mTmpFloats[0] * tmpScale, this.mTmpFloats[3], this.mTmpFloats[1], this.mTmpFloats[4] * tmpScale);\n if (this.mWmService.getLazyMode() != 0) {\n Point origin = this.mWmService.getOriginPointForLazyMode(0.75f, this.mWmService.getLazyMode());\n transaction.setPosition(this.mWindowingLayer, (float) origin.x, (float) origin.y);\n } else {\n transaction.setPosition(this.mWindowingLayer, this.mTmpFloats[2], this.mTmpFloats[5]);\n }\n transaction.setAlpha(this.mWindowingLayer, screenRotationAnimation.getEnterTransformation().getAlpha());\n if (this.mWmService.mHwWMSEx.isNeedLandAni() && this.mDisplayId == 0) {\n transaction.setAlpha(this.mWindowingLayer, 1.0f);\n this.mWmService.mHwWMSEx.applyLandOpenAnimation();\n }\n }\n for (int i = this.mTaskStackContainers.getChildCount() - 1; i >= 0; i--) {\n TaskStack stack = (TaskStack) this.mTaskStackContainers.getChildAt(i);\n stack.updateSurfacePosition();\n stack.updateSurfaceSize(stack.getPendingTransaction());\n }\n super.prepareSurfaces();\n SurfaceControl.mergeToGlobalTransaction(transaction);\n } finally {\n Trace.traceEnd(32);\n }\n }","long getPlaneSize();","private void init() {\r\n\t\tx = (float) (Math.random() * 2 - 1);\r\n\t\ty = (float) (Math.random() * 2 - 1);\r\n\t\tz[0] = (float) (Math.random() * 3f);\r\n\t\tz[1] = z[0];\r\n\t}","public void prepareModel() {\n //Since many models have different scale amplitudes, we calculate a uniform scale factor for the model\n setScaleFactor();\n //Since the 3ds file does not provide normal values, we must calculate them ourselves\n calculateNormals();\n //Finally we need to setup the buffers for drawing\n setupBuffers();\n }","public Plane3(Plane3 p) {\n this.a = p.a; this.b = p.b; this.c = p.c; this.v = p.v; this.d = p.d;\n }","static public void init() {\r\n\t\t\r\n\t\t\r\n\t\tfor(int i=MeshFrame.HEIGHT; i>=HeightScale;i-=HeightScale){\r\n\t\t\tGL11.glBegin(GL11.GL_TRIANGLE_STRIP);\r\n\t\t\tfor (int j = 0; j <= MeshFrame.WIDTH; j+=WidthScale) {\r\n\t\t\t\tGL11.glVertex3f(j, i, 0);\r\n\t\t\t\tGL11.glVertex3f(j, i-HeightScale, 0);\r\n\t\t\t}\r\n\t\t\tGL11.glEnd();\r\n\t\t\t\r\n\t\t}\t\t\r\n\t\t\r\n\t}","public Surface(int var1, int var2, int var3, Component var4) {\n super();\n this.interlace = false;\n this.loggedIn = false;\n this.field_731 = var4;\n this.field_744 = var2;\n this.field_746 = var1;\n this.field_726 = this.field_723 = var1;\n this.field_727 = this.field_724 = var2;\n this.field_725 = var1 * var2;\n this.pixels = new int[var1 * var2];\n this.spritePixels = new int[var3][];\n this.field_742 = new boolean[var3];\n this.spriteColoursUsed = new byte[var3][];\n this.spriteColourList = new int[var3][];\n this.field_736 = new int[var3];\n this.field_737 = new int[var3];\n this.spriteWidthFull = new int[var3];\n this.field_741 = new int[var3];\n this.field_738 = new int[var3];\n this.field_739 = new int[var3];\n if(var1 > 1 && var2 > 1 && var4 != null) {\n this.field_728 = new DirectColorModel(32, 16711680, '\\uff00', 255);\n int var5 = this.field_723 * this.field_724;\n int var6 = 0;\n if(field_759 || var6 < var5) {\n do {\n this.pixels[var6] = 0;\n ++var6;\n } while(var6 < var5);\n }\n\n this.field_732 = var4.createImage(this);\n this.method_219();\n var4.prepareImage(this.field_732, var4);\n this.method_219();\n var4.prepareImage(this.field_732, var4);\n this.method_219();\n var4.prepareImage(this.field_732, var4);\n }\n\n }","boolean hasPlaneValue();","void setupPointScaleFree() {\n\t\tbeginOffsetP.set(P);\n\n\t\tleftOppositeLine = neighborOppositeLinesFromPoint(selectedPoint)[0];\n\t\trightOppositeLine = neighborOppositeLinesFromPoint(selectedPoint)[1];\n\t\tleftOppositeLine.resetLockPoints(P);\n\t\trightOppositeLine.resetLockPoints(P);\n\t\tbeginP.set(P);\n\t\tbeginOffsetP.set(P);\n\n\t\tbeginOffset.set(P); // lock the beginning position of the\n\t\t\t\t\t\t\t// offset vector\n\t\tbeginOffsetP.set(point[selectedPoint].position); // lock the beginning\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// of the vector to\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// be transformed\n\n\t\tleftOppositeLine.isOnThisSideOfLine = leftOppositeLine.checkLineSide(P); // check\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// on\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// which\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// side\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// of\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// the\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// mirror\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// we\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// are\n\t\trightOppositeLine.isOnThisSideOfLine = rightOppositeLine.checkLineSide(P);\n\t}","private void arretes_fB(){\n\t\tthis.cube[22] = this.cube[19]; \n\t\tthis.cube[19] = this.cube[21];\n\t\tthis.cube[21] = this.cube[25];\n\t\tthis.cube[25] = this.cube[23];\n\t\tthis.cube[23] = this.cube[22];\n\t}","@Test\n public void Constructor_test() \n {\n // ============ Equivalence Partitions Tests ==============\n\n // TC01: creating the Plane: x + y + z = 1 with the constructor\n\t // that get 3 Point3D that contain in the Plane\n try \n {\n new Plane(new Point3D(1,0,0), new Point3D(0,1,0), new Point3D(0,0,1));\n } \n catch (IllegalArgumentException e) \n {\n fail(\"Failed constructing a correct Plane\");\n }\n \n // TC02: creating the Plane: x + y + z = 1 with the constructor\n \t // that get Point3D that contain in the Plane and Vector- the normal of the Plane.\n try \n {\n new Plane(new Point3D(1,0,0), new Vector(1,1,1));\n } \n catch (IllegalArgumentException e) \n {\n fail(\"Failed constructing a correct Plane\");\n }\n \n // =============== Boundary Values Tests ==================\n \n // TC03: creating the Plane: z = 0 with the constructor\n \t // that get 3 Point3D that contain in the Plane\n try \n {\n new Plane(new Point3D(1,0,0), new Point3D(0,1,0), new Point3D(2,3,0));\n } \n catch (IllegalArgumentException e) \n {\n fail(\"Failed constructing a correct Plane\");\n }\n \n // TC04: creating the Plane: x + y + z = 1 with the constructor\n \t // that get Point3D that contain in the Plane and Vector- the normal of the Plane.\n try \n {\n new Plane(new Point3D(1,0,0), new Vector(0,0,1));\n } \n catch (IllegalArgumentException e) \n {\n fail(\"Failed constructing a correct Plane\");\n }\n }","public PaperAirplane (int x, int y)\n\t{\n\t\tsuper (x, y);\t//Superclass called to set x and y\n\t\t\n\t\txPoints = new int [3];\t//sets xPoints to have 3 elements\n\t\tyPoints = new int [3];\t//sets yPoints to have 3 elements\n\t\t\n\t\t//Using the getX_Pos () set in the superclass, the following sets the\n\t\t//xDimensions.\n\t\txDimension1 = getX_Pos () - 23;\n\t\txDimension2 = getX_Pos () - 18;\n\t\txDimension3 = getX_Pos () + 22;\n\t\t\n\t\t//Using the getY_Pos () set in the superclass, the following sets the\n\t\t//yDimensions.\n\t\tyDimension1 = getY_Pos() - 2;\n\t\tyDimension2 = getY_Pos() - 17;\n\t\tyDimension3 = getY_Pos() + 5;\n\t\t\n\t\t//The following sets the same dimensions from above, but these never\n\t\t//change and can be used for reconstruction\n\t\trXD1 = getX_Pos () - 23;\n\t\trXD2 = getX_Pos () - 18;\n\t\trXD3 = getX_Pos () + 22;\n\t\trYD1 = getY_Pos() - 2;\n\t\trYD2 = getY_Pos() - 17;\n\t\trYD3 = getY_Pos() + 5;\n\t}","private void applyPresets() {\n applyAutoTrigger(AUTO_TRIGGER_PRESET.load(mPresetDict));\n applyPreferredTarget(PREFERRED_TARGET_PRESET.load(mPresetDict));\n applyEndingBehavior(ENDING_BEHAVIOR_PRESET.load(mPresetDict));\n applyAutoStartOnDisconnectDelay(AUTOSTART_ON_DISCONNECT_DELAY_PRESET.load(mPresetDict));\n applyEndingHoveringAltitude(ENDING_HOVERING_ALTITUDE_PRESET.load(mPresetDict));\n applyMinAltitude(MIN_ALTITUDE_PRESET.load(mPresetDict));\n }","private HyperplaneSubsets() {\n }","protected void reInitialize() {\n leftSpeed = 0;\n rightSpeed = 0;\n leftPosition = 0;\n rightPosition = 0;\n }","public void reconstruct ()\n\t{\n\t\tsuper.reconstruct ();\t//calls the superclass's reconstruct method\n\t\txDimension1 = rXD1;\n\t\txDimension2 = rXD2;\n\t\txDimension3 = rXD3;\n\t\t\n\t\tyDimension1 = rYD1;\n\t\tyDimension2 = rYD2;\n\t\tyDimension3 = rYD3;\n\t\t\n\t\tturnInt = 0;\n\t}","private void drawPanorama(int p_73970_1_, int p_73970_2_, float p_73970_3_) {\n\t\tTessellator var4 = Tessellator.getInstance();\n\t\tWorldRenderer var5 = var4.getWorldRenderer();\n\t\tGlStateManager.matrixMode(5889);\n\t\tGlStateManager.pushMatrix();\n\t\tGlStateManager.loadIdentity();\n\t\tProject.gluPerspective(120.0F, 1.0F, 0.05F, 10.0F);\n\t\tGlStateManager.matrixMode(5888);\n\t\tGlStateManager.pushMatrix();\n\t\tGlStateManager.loadIdentity();\n\t\tGlStateManager.color(1.0F, 1.0F, 1.0F, 1.0F);\n\t\tGlStateManager.rotate(180.0F, 1.0F, 0.0F, 0.0F);\n\t\tGlStateManager.rotate(90.0F, 0.0F, 0.0F, 1.0F);\n\t\tGlStateManager.enableBlend();\n\t\tGlStateManager.disableAlpha();\n\t\tGlStateManager.disableCull();\n\t\tGlStateManager.depthMask(false);\n\t\tGlStateManager.tryBlendFuncSeparate(770, 771, 1, 0);\n\t\tbyte var6 = 8;\n\n\t\tfor (int var7 = 0; var7 < var6 * var6; ++var7) {\n\t\t\tGlStateManager.pushMatrix();\n\t\t\tfloat var8 = ((float) (var7 % var6) / (float) var6 - 0.5F) / 64.0F;\n\t\t\tfloat var9 = ((float) (var7 / var6) / (float) var6 - 0.5F) / 64.0F;\n\t\t\tfloat var10 = 0.0F;\n\t\t\tGlStateManager.translate(var8, var9, var10);\n\t\t\tGlStateManager.rotate(MathHelper.sin(((float) this.panoramaTimer + p_73970_3_) / 30.0F) * 25.0F + 20.0F,\n\t\t\t\t\t1.0F, 0.0F, 0.0F);\n\t\t\tGlStateManager.rotate(-((float) this.panoramaTimer + p_73970_3_) * -1.3F, 0.0F, 1.0F, 0.0F);\n\n\t\t\tfor (int var11 = 0; var11 < 6; ++var11) {\n\t\t\t\tGlStateManager.pushMatrix();\n\n\t\t\t\tif (var11 == 1) {\n\t\t\t\t\tGlStateManager.rotate(90.0F, 0.0F, 1.0F, 0.0F);\n\t\t\t\t}\n\n\t\t\t\tif (var11 == 2) {\n\t\t\t\t\tGlStateManager.rotate(180.0F, 0.0F, 1.0F, 0.0F);\n\t\t\t\t}\n\n\t\t\t\tif (var11 == 3) {\n\t\t\t\t\tGlStateManager.rotate(-90.0F, 0.0F, 1.0F, 0.0F);\n\t\t\t\t}\n\n\t\t\t\tif (var11 == 4) {\n\t\t\t\t\tGlStateManager.rotate(90.0F, 1.0F, 0.0F, 0.0F);\n\t\t\t\t}\n\n\t\t\t\tif (var11 == 5) {\n\t\t\t\t\tGlStateManager.rotate(-90.0F, 1.0F, 0.0F, 0.0F);\n\t\t\t\t}\n\n\t\t\t\tthis.mc.getTextureManager().bindTexture(titlePanoramaPaths[var11]);\n\t\t\t\tvar5.startDrawingQuads();\n\t\t\t\tvar5.func_178974_a(16777215, 255 / (var7 + 1));\n\t\t\t\tfloat var12 = 0.0F;\n\t\t\t\tvar5.addVertexWithUV(-1.0D, -1.0D, 1.0D, (double) (0.0F + var12), (double) (0.0F + var12));\n\t\t\t\tvar5.addVertexWithUV(1.0D, -1.0D, 1.0D, (double) (1.0F - var12), (double) (0.0F + var12));\n\t\t\t\tvar5.addVertexWithUV(1.0D, 1.0D, 1.0D, (double) (1.0F - var12), (double) (1.0F - var12));\n\t\t\t\tvar5.addVertexWithUV(-1.0D, 1.0D, 1.0D, (double) (0.0F + var12), (double) (1.0F - var12));\n\t\t\t\tvar4.draw();\n\t\t\t\tGlStateManager.popMatrix();\n\t\t\t}\n\n\t\t\tGlStateManager.popMatrix();\n\t\t\tGlStateManager.colorMask(true, true, true, false);\n\t\t}\n\n\t\tvar5.setTranslation(0.0D, 0.0D, 0.0D);\n\t\tGlStateManager.colorMask(true, true, true, true);\n\t\tGlStateManager.matrixMode(5889);\n\t\tGlStateManager.popMatrix();\n\t\tGlStateManager.matrixMode(5888);\n\t\tGlStateManager.popMatrix();\n\t\tGlStateManager.depthMask(true);\n\t\tGlStateManager.enableCull();\n\t\tGlStateManager.enableDepth();\n\t}","@Override\n protected void onStart() {\n camera_ = getCameraInstance();\n Parameters params;\n\n if (camera_ != null) {\n params = camera_.getParameters();\n params.setPreviewFormat(ImageFormat.NV21);\n getSmallestPreviewSize(params);\n params.setPreviewSize(width_, height_);\n //params.setFlashMode(Parameters.FLASH_MODE_TORCH);\n params.setWhiteBalance(Parameters.WHITE_BALANCE_AUTO);\n camera_.setParameters(params);\n\n frame_ = new RGB[width_ * height_];\n for (int i = 0; i < frame_.length; ++i) {\n frame_[i] = new RGB();\n }\n\n camera_.setPreviewCallback(new PreviewCallback() {\n @Override\n public void onPreviewFrame(byte[] data, Camera camera) {\n synchronized (frame_) {\n decodeYUV420SP(frame_, data, width_, height_);\n }\n }\n });\n SurfaceTexture texture_ = new SurfaceTexture(0);\n try {\n camera_.setPreviewTexture(texture_);\n } catch (IOException e) {\n e.printStackTrace();\n }\n camera_.startPreview();\n }\n\n super.onStart();\n }","private void aretes_aB(){\n\t\tthis.cube[22] = this.cube[12]; \n\t\tthis.cube[12] = this.cube[48];\n\t\tthis.cube[48] = this.cube[39];\n\t\tthis.cube[39] = this.cube[3];\n\t\tthis.cube[3] = this.cube[22];\n\t}","public abstract ParamNumber getParamZ();","public void setPlanesLanded(int planesLanded) {\r\n this.planesLanded = planesLanded;\r\n }","public void compile() {\n\t\tdouble zn = params.getZn();\n\t\tdouble zf = params.getZf();\n\t\tdouble sw = params.getSw();\n\t\tdouble sh = params.getSh();\n\n\t\tdouble d[][] = { { 2 * zn / sw, 0, 0, 0 }, { 0, 2 * zn / sh, 0, 0 },\n\t\t\t\t{ 0, 0, zf / (zf - zn), -zn * zf / (zf - zn) }, { 0, 0, 1, 0 } };\n\t\tTransformation proj = new Transformation(d);\n\t\tmk = proj.mult(VCS);\n\t\tsetChanged();\n\t\tnotifyObservers();\n\t}","void createPlanetSurface(int width, int height) {\r\n\t\trenderer.surface = new PlanetSurface();\r\n\t\trenderer.surface.width = width;\r\n\t\trenderer.surface.height = height;\r\n\t\trenderer.surface.computeRenderingLocations();\r\n\t\tui.allocationPanel.buildings = renderer.surface.buildings;\r\n\t}","Obj(double x1, double y1, double z1, double x2, double y2, double z2, double x3, double y3, double z3){\t// CAMBIAR LAS COORDENADAS X,Y,Z CON 0,1 PARA CONSTRUIR PRISMA, CILINDRO, PIRAMIDE, CONO Y ESFERA.\n w\t= new Point3D[4];\n\tvScr\t= new Point2D[4];\n \n w[0]\t= new Point3D(0, 0, 0); // desde la base\n\tw[1]\t= new Point3D(x1, y1, z1);\n\tw[2]\t= new Point3D(x2, y2, z2);\n\tw[3]\t= new Point3D(x3, y3, z3);\n \n\tobjSize = (float) Math.sqrt(12F); \n rho\t= 5 * objSize;\n }","private void setInititalValues() {\n drone.setTranslateX(INITIAL_X_POSITION);\n drone.setTranslateY(INITIAL_Y_POSITION);\n drone.setTranslateZ(INITIAL_Z_POSITION);\n\n // set initial orientation to z-axis (into the screen)\n setxOrientation(0);\n setyOrientation(0);\n setzOrientation(1);\n setYawAngle(0);\n setRollAngle(0);\n setPitchAngle(0);\n setSpeed(TelloDefaultValues.DEFAULT_SPEED);\n }","void restoreAfter() {\r\n\t\t\tsurface.basemap.clear();\r\n\t\t\tsurface.basemap.putAll(basemapAfter);\r\n\t\t\tsurface.buildingmap.clear();\r\n\t\t\tsurface.buildingmap.putAll(buildingmapAfter);\r\n\t\t\tsurface.features.clear();\r\n\t\t\tsurface.features.addAll(surfaceAfter);\r\n\t\t\tsurface.buildings.clear();\r\n\t\t\tsurface.buildings.addAll(buildingsAfter);\r\n\t\t}","public synchronized void mo21884z() {\n if (!this.f24512O) {\n this.f24512O = true;\n }\n }","public void updateFlags(int fromx, int tox, int fromy, int toy, int fromz, int toz)\n {\n VoxelOctree voxels = obj.getVoxels();\n if (width != voxels.getWidth()-1)\n {\n initialize();\n return;\n }\n findBounds();\n byte cornerValues[] = new byte[8];\n if (fromx < 0)\n fromx = 0;\n if (fromy < 0)\n fromy = 0;\n if (fromz < 0)\n fromz = 0;\n if (tox >= width)\n tox = width-1;\n if (toy >= width)\n toy = width-1;\n if (toz >= width)\n toz = width-1;\n int ysize = toy-fromy+3;\n int zsize = toz-fromz+3;\n\n // Look up the values for the x==fromx plane.\n\n byte values[][] = new byte[2][ysize*zsize];\n for (int j = 0; j < ysize; j++)\n for (int k = 0; k < zsize; k++)\n values[0][j*zsize+k] = voxels.getValue(fromx, j+fromy, k+fromz);\n for (int i = fromx; i <= tox; i++)\n {\n // Look up the values for the next plane.\n\n for (int j = 0; j < ysize; j++)\n for (int k = 0; k < zsize; k++)\n values[1][j*zsize+k] = voxels.getValue(i+1, j+fromy, k+fromz);\n for (int j = fromy; j <= toy; j++)\n {\n for (int k = fromz; k <= toz; k++)\n {\n int numBelow = 0;\n int numZero = 0;\n for (int corner = 0; corner < 8; corner++)\n {\n // Record the values at the four corners of this cell, and see how many are outside.\n\n cornerValues[corner] = values[vertexOffset[corner][0]][(j-fromy+vertexOffset[corner][1])*zsize+k-fromz+vertexOffset[corner][2]];\n if (cornerValues[corner] < 0)\n numBelow++;\n else if (cornerValues[corner] == 0)\n numZero++;\n }\n int index = i*width*width+j*width+k;\n if ((numBelow != 0 && numBelow != 8) || numZero > 0)\n flags[index/32] |= 1<<(index%32);\n else\n flags[index/32] &= 0xFFFFFFFF-(1<<(index%32));\n }\n }\n\n // Swap the value arrays so the values for x==i+1 will be in values[0].\n\n byte temp[] = values[0];\n values[0] = values[1];\n values[1] = temp;\n }\n }","public double getPlaneX()\n {\n return planeX;\n }","private void aretes_aG(){\n\t\tthis.cube[31] = this.cube[14]; \n\t\tthis.cube[14] = this.cube[5];\n\t\tthis.cube[5] = this.cube[41];\n\t\tthis.cube[41] = this.cube[50];\n\t\tthis.cube[50] = this.cube[31];\n\t}","public Pj3dPlane Pj3dPlane(int x, int z)\r\n\t{\r\n \tPj3dPlane plane = new Pj3dPlane(this, x, z);\r\n\t\treturn plane;\r\n\t}","protected void setupImpl()\n {\n hint(DISABLE_DEPTH_TEST);\n font = loadFont(\"Futura-CondensedExtraBold-200.vlw\");\n textFont(font, 200);\n mode = 0;\n\n // Mode 3\n w = width * 2;\n dx = (TWO_PI / period) * xspacing;\n yvalues = new float[w/xspacing];\n\n // Mode 5\n mod = loadImage(\"mod.png\");\n modSizes = new int[scaledBandLevels.length];\n }","public void setCamVertices(float x0, float y0, float z0,\n float x1, float y1, float z1,\n float x2, float y2, float z2) {\n camX[0] = x0;\n camX[1] = x1;\n camX[2] = x2;\n \n camY[0] = y0;\n camY[1] = y1;\n camY[2] = y2;\n \n camZ[0] = z0;\n camZ[1] = z1;\n camZ[2] = z2;\n }","public Plane(double a, double b, double c, double d) {\n this.a = a;\n this.b = b;\n this.c = c;\n this.d = d;\n }","protected void initialize() {\n\t\t// startAngle = drive.getAngle();\n\t\tdrive.resetBothEncoders();\n\t\tpLeft = speed;\n\t\tpRight = speed;\n\t}","PlaneSubset(final Plane plane) {\n this.plane = plane;\n }","private void prepare()\n {\n Victoria victoria = new Victoria();\n addObject(victoria,190,146);\n Salir salir = new Salir();\n addObject(salir,200,533);\n Volver volver = new Volver();\n addObject(volver,198,401);\n }","public void initZoneAreas() {\n this.zoneList = new ArrayList<Node>();\n this.zoneRoot = new Node(\"Zone Root\");\n \n Material mat = new Material(assetManager, \"Common/MatDefs/Misc/Unshaded.j3md\"); \n mat.setColor(\"Color\", new ColorRGBA(0,1,1,0.5f));\n mat.getAdditionalRenderState().setBlendMode(BlendMode.Alpha);\n \n Geometry zoneBox1 = new Geometry(\"Zone 1\",new Box(12,1,12));\n Node zoneNode1 = new Node(\"Zone 1\");\n zoneBox1.setMaterial(mat);\n zoneBox1.setQueueBucket(Bucket.Transparent);\n zoneNode1.attachChild(zoneBox1);\n this.zoneList.add(zoneNode1);\n this.zoneRoot.attachChild(zoneNode1);\n \n zoneNode1.setLocalTranslation(CubeToWorldVector(7.5f,0,47.5f));\n \n Geometry zoneBox2 = new Geometry(\"Zone 2\",new Box(18f,1,6));\n Node zoneNode2 = new Node(\"Zone 2\");\n zoneBox2.setMaterial(mat);\n zoneBox2.setQueueBucket(Bucket.Transparent);\n zoneNode2.attachChild(zoneBox2);\n this.zoneList.add(zoneNode2);\n this.zoneRoot.attachChild(zoneNode2);\n \n zoneNode2.setLocalTranslation(CubeToWorldVector(17.5f,0,47.5f));\n \n Geometry zoneBox2b = new Geometry(\"Zone 2b\",new Box(6f,1,6));\n Node zoneNode2b = new Node(\"Zone 2b\");\n zoneBox2b.setMaterial(mat);\n zoneBox2b.setQueueBucket(Bucket.Transparent);\n zoneNode2b.attachChild(zoneBox2b);\n this.zoneList.add(zoneNode2b);\n this.zoneRoot.attachChild(zoneNode2b);\n \n zoneNode2b.setLocalTranslation(CubeToWorldVector(21.5f,0,43.5f));\n \n Geometry zoneBox3 = new Geometry(\"Zone 3\",new Box(24f,1,22.5f));\n Node zoneNode3 = new Node(\"Zone 3\");\n zoneBox3.setMaterial(mat);\n zoneBox3.setQueueBucket(Bucket.Transparent);\n zoneNode3.attachChild(zoneBox3);\n this.zoneList.add(zoneNode3);\n this.zoneRoot.attachChild(zoneNode3);\n \n zoneNode3.setLocalTranslation(CubeToWorldVector(23.5f,0,34f));\n \n Geometry zoneBox4 = new Geometry(\"Zone 4\",new Box(9f,1,9f));\n Node zoneNode4 = new Node(\"Zone 4\");\n zoneBox4.setMaterial(mat);\n zoneBox4.setQueueBucket(Bucket.Transparent);\n zoneNode4.attachChild(zoneBox4);\n this.zoneList.add(zoneNode4);\n this.zoneRoot.attachChild(zoneNode4);\n \n zoneNode4.setLocalTranslation(CubeToWorldVector(12.5f,0,29.5f));\n \n Geometry zoneBox4b = new Geometry(\"Zone 4b\",new Box(9f,1,22.5f));\n Node zoneNode4b = new Node(\"Zone 4b\");\n zoneBox4b.setMaterial(mat);\n zoneBox4b.setQueueBucket(Bucket.Transparent);\n zoneNode4b.attachChild(zoneBox4b);\n this.zoneList.add(zoneNode4b);\n this.zoneRoot.attachChild(zoneNode4b);\n \n zoneNode4b.setLocalTranslation(CubeToWorldVector(6.5f,0,25f));\n \n Geometry zoneBox5 = new Geometry(\"Zone 5\",new Box(36f,1,18f));\n Node zoneNode5 = new Node(\"Zone 5\");\n zoneBox5.setMaterial(mat);\n zoneBox5.setQueueBucket(Bucket.Transparent);\n zoneNode5.attachChild(zoneBox5);\n this.zoneList.add(zoneNode5);\n this.zoneRoot.attachChild(zoneNode5);\n \n zoneNode5.setLocalTranslation(CubeToWorldVector(13.5f,0,11.5f));\n rootNode.attachChild(this.zoneRoot);\n }","public void prepareObjetivos(){\n\t\tfor( int x= 0 ; x < game.getAmountObjetivos();x++){\n\t\t\tObjetivo o = game.getObjetivo(x);\n\t\t\timage = o.getImage();\n\t\t\ttemporal = image.getImage().getScaledInstance(o.getAncho(), o.getAlto(), Image.SCALE_SMOOTH);\n\t\t\to.setImage(new ImageIcon(temporal));\n\t\t}\n\t\t\n\t}","public Plane[] getPlane_List() {\r\n\t\treturn Plane_List;\r\n\t}","private void CreateDecompression() {\n int iteradorY = 0;\n int iteradorarray = 0;\n int fila = 0;\n int columna = 0;\n while (iteradorY < width / 8 * height / 8) {\n int u = 1;\n int k = 1;\n double[][] Y = new double[8][8];\n double[][] CB = new double[8][8];\n double[][] CR = new double[8][8];\n for (int element = 0; element < 64; ++element) {\n Y[u - 1][k - 1] = (double) Ydes.get(iteradorarray);\n CB[u - 1][k - 1] = (double) CBdes.get(iteradorarray);\n CR[u - 1][k - 1] = (double) CRdes.get(iteradorarray);\n if ((k + u) % 2 != 0) {\n if (k < 8)\n k++;\n else\n u += 2;\n if (u > 1)\n u--;\n } else {\n if (u < 8)\n u++;\n else\n k += 2;\n if (k > 1)\n k--;\n }\n iteradorarray++;\n }\n ++iteradorY;\n //DESQUANTIZAMOS\n for (int m = 0; m < 8; ++m) {\n for (int n = 0; n < 8; ++n) {\n Y[m][n] = Y[m][n] * QtablesLuminance[quality][m][n];\n CB[m][n] = CB[m][n] * QtablesChrominance[quality][m][n];\n CR[m][n] = CR[m][n] * QtablesChrominance[quality][m][n];\n }\n }\n //INVERSA DE LA DCT2\n double[][] Ydct = dct3(Y);\n double[][] CBdct = dct3(CB);\n double[][] CRdct = dct3(CR);\n\n //SUMAR 128\n for (int m = 0; m < 8; ++m) {\n for (int n = 0; n < 8; ++n) {\n Ydct[m][n] = Ydct[m][n] + 128;\n CBdct[m][n] = CBdct[m][n] + 128;\n CRdct[m][n] = CRdct[m][n] + 128;\n int[] YCbCr = {(int) Ydct[m][n], (int) CBdct[m][n], (int) CRdct[m][n]};\n int[] RGB = YCbCrtoRGB(YCbCr);\n if (fila + m < height & columna + n < width) {\n FinalR[fila + m][columna + n] = RGB[0];\n FinalG[fila + m][columna + n] = RGB[1];\n FinalB[fila + m][columna + n] = RGB[2];\n }\n }\n }\n if (columna + 8 < width) columna = columna + 8;\n else {\n fila = fila + 8;\n columna = 0;\n }\n }\n }","private void createSwitches() {\n \t\tswitches = new Point[4];\n \t\tswitches[0] = new Point(centreMin, centreMin);\n \t\tswitches[1] = new Point(centreMin, centreMax-1);\n \t\tswitches[2] = new Point(centreMax-1, centreMin);\n \t\tswitches[3] = new Point(centreMax-1, centreMax-1);\n \t}","private void createLayers(boolean bl, int[] arrn) {\n ILayer[] arriLayer = this.mLayers;\n if (bl) {\n for (int i = -1 + this.mLayerCount; i >= 0; --i) {\n arriLayer[i] = new FixedCapacityLayer(arrn[i]);\n }\n return;\n }\n for (int i = -1 + this.mLayerCount; i >= 0; --i) {\n arriLayer[i] = new DynamicCapacityLayer(arrn[i]);\n }\n }","public static void main(String[] args) {\n\t\tint x1=1, y1=1, z1=1;\n\t\tint x2=8, y2=-7, z2=1;\n\t\t//Points describing the plane\n\t\tint x3=3, y3=9, z3=0;\n\t\tint x4=-1, y4=3, z4=0;\n\t\tint x5=4, y5=5, z5=0;\n\t\t//No intersection with this co-ords\n\t\tintersect(x1,y1,z1,x2,y2,z2,x3,y3,z3,x4,y4,z4,x5,y5,z5);\n\t}","private final void resetIsosurfaceBoundary() {\n \tif (debug) System.out.print(\"fast marching evolution: iso-surface reinit\\n\");\n\n \tfloat[] nbdist = new float[6];\n \tboolean[] nbflag = new boolean[6];\n \tboolean boundary;\n \tfloat[] tmp = new float[nx*ny*nz];\n \tboolean[] processed = new boolean[nx*ny*nz];\n \t\n\t\tfor (int xyz = 0; xyz<nx*ny*nz; xyz++) if (mask[xyz]) {\n\t\t\t\n\t\t\tboundary = false;\n\t\t\tfor (int l=0; l<6; l++) {\n\t\t\t\tnbdist[l] = UNKNOWN;\n\t\t\t\tnbflag[l] = false;\n\t\t\t\t\n\t\t\t\tint xyznb = xyz + xoff[l] + yoff[l] + zoff[l];\n\t\t\t\tif (segmentation[xyznb]!=segmentation[xyz] && mask[xyznb]) {\n\t\t\t\t\t// compute new distance based on processed neighbors for the same object\n\t\t\t\t\tnbdist[l] = Numerics.abs(mgdmfunctions[0][xyznb]);\n\t\t\t\t\tnbflag[l] = true;\n\t\t\t\t\tboundary = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\tif (boundary) {\n\t\t\t\ttmp[xyz] = isoSurfaceDistance(mgdmfunctions[0][xyz], nbdist, nbflag);\n\t\t\t\tprocessed[xyz] = true;\n\t\t\t}\n\t\t}\n\t\t// once all the new values are computed, copy into original GDM function (sign is not important here)\n\t\tfor (int xyz = 0; xyz<nx*ny*nz; xyz++) {\n\t\t\tif (processed[xyz]) mgdmfunctions[0][xyz] = tmp[xyz];\n\t\t\telse mgdmfunctions[0][xyz] = UNKNOWN;\n\t\t}\n\t\t\t\n return;\n }","@java.lang.Override\n public boolean hasPlaneValue() {\n return typeCase_ == 10;\n }","private void process(ArrayList<Float> points) {\n downsample(3, points);\n vertices = new Vector3f[nrows * ncols];\n texcoord = BufferUtils.createFloatBuffer(2 * nrows * ncols);\n indexes = BufferUtils.createIntBuffer(6 * (nrows - 1) * (ncols - 1));\n Vector3f[][][] fnormals = new Vector3f[nrows - 1][ncols - 1][2];\n normals = new Vector3f[nrows * ncols];\n float x, z;\n\n System.out.println(\"Processing \" + nrows + \"x\" + ncols + \" terrain...\");\n\n // First make vertices + texcoords\n x = 0.0f;\n for (int row = 0; row < nrows; row++) {\n z = 0.0f;\n for (int col = 0; col < ncols; col++) {\n vertices[(row * ncols) + col] = new Vector3f(x, data[row][col], z);\n texcoord.put(col / (float) ncols);\n texcoord.put(row / (float) nrows);\n z += cellsize;\n }\n x += cellsize;\n }\n // Indexes + face normals\n System.out.println(\"Populating faces...\");\n for (int row = 0; row < (nrows - 1); row++) {\n for (int col = 0; col < (ncols - 1); col++) {\n int base = 6 * ((row * (ncols - 1)) + col);\n // Triangle 1\n indexes.put((row * ncols) + col); // a\n indexes.put((row * ncols) + col + 1); // b\n indexes.put(((row + 1) * ncols) + col); // c\n // Triangle 2\n indexes.put(((row + 1) * ncols) + col); // c\n indexes.put((row * ncols) + col + 1); // b\n indexes.put(((row + 1) * ncols) + col + 1); // d\n // Faces\n base = (row * ncols) + col;\n Vector3f a = vertices[base];\n Vector3f b = vertices[base + 1];\n Vector3f c = vertices[base + ncols];\n Vector3f d = vertices[base + ncols + 1];\n Vector3f ba = b.subtract(a);\n Vector3f ca = c.subtract(a);\n Vector3f bc = b.subtract(c);\n Vector3f dc = d.subtract(c);\n // ormal.subtractLocal(pointa).crossLocal(pointc.x - pointa.x,\n // pointc.y - pointa.y, pointc.z - pointa.z);\n fnormals[row][col][0] = ba.crossLocal(ca).normalizeLocal();\n fnormals[row][col][1] = bc.crossLocal(dc).normalizeLocal();\n // Triangle ta = new Triangle(a,b,c);\n // Triangle tb = new Triangle(c,b,d);\n }\n }\n System.out.println(\"Calculating face normals...\");\n // Vector normals\n Vector3f t;\n // Corners\n // TL\n t = fnormals[0][0][0].add(fnormals[0][0][1]);\n t.normalizeLocal();\n normals[0] = t;\n // TR\n t = fnormals[0][ncols - 2][0].add(fnormals[0][ncols - 2][1]);\n t.normalizeLocal();\n normals[ncols - 1] = t;\n // BL\n t = fnormals[nrows - 2][0][0].add(fnormals[nrows - 2][0][1]);\n t.normalizeLocal();\n normals[(nrows - 1) * ncols] = t;\n // BR\n t = fnormals[nrows - 2][ncols - 2][0].add(fnormals[nrows - 2][ncols - 2][1]);\n t.normalizeLocal();\n normals[(nrows * ncols) - 1] = t;\n // Do first row and last row\n for (int col = 1; col < (ncols - 1); col++) {\n // First row\n t = fnormals[0][col - 1][0].add(fnormals[0][col - 1][1]);\n t.addLocal(fnormals[0][col][0]);\n t.addLocal(fnormals[0][col][1]);\n t.normalizeLocal();\n normals[col] = t;\n // Last row\n t = fnormals[nrows - 2][col - 1][0].add(fnormals[nrows - 2][col - 1][1]);\n t.addLocal(fnormals[nrows - 2][col][0]);\n t.addLocal(fnormals[nrows - 2][col][1]);\n t.normalizeLocal();\n normals[((nrows - 1) * ncols) + col] = t;\n }\n // Do first and last column\n for (int row = 1; row < (nrows - 1); row++) {\n // First col\n t = fnormals[row - 1][0][0].add(fnormals[row - 1][0][1]);\n t.addLocal(fnormals[row][0][0]);\n t.addLocal(fnormals[row][0][1]);\n t.normalizeLocal();\n normals[row * ncols] = t;\n // Last col\n t = fnormals[row - 1][ncols - 2][0].add(fnormals[row - 1][ncols - 2][1]);\n t.addLocal(fnormals[row][ncols - 2][0]);\n t.addLocal(fnormals[row][ncols - 2][1]);\n t.normalizeLocal();\n normals[(row * ncols) + (ncols - 1)] = t;\n // Centre cols\n for (int col = 1; col < (ncols - 1); col++) {\n t = fnormals[row - 1][col - 1][0].add(fnormals[row - 1][col - 1][1]);\n t.addLocal(fnormals[row - 1][col][0]);\n t.addLocal(fnormals[row - 1][col][1]);\n t.addLocal(fnormals[row][col - 1][0]);\n t.addLocal(fnormals[row][col - 1][1]);\n t.addLocal(fnormals[row][col][0]);\n t.addLocal(fnormals[row][col][1]);\n t.normalizeLocal();\n normals[(row * ncols) + col] = t;\n }\n }\n System.out.println(\"Processing finished...\");\n setBuffer(VertexBuffer.Type.Position, 3, BufferUtils.createFloatBuffer(vertices));\n setBuffer(VertexBuffer.Type.TexCoord, 2, texcoord);\n setBuffer(VertexBuffer.Type.Index, 3, indexes);\n setBuffer(VertexBuffer.Type.Normal, 3, BufferUtils.createFloatBuffer(normals));\n updateBound();\n System.out.println(\"NE corner: \" + vertices[vertices.length - 1].mult(0.006f));\n // Hint to renderer that we don't plan on modifying the terrain.\n this.setStatic();\n }","public void reset() {\n\t\tmCenterOfProjection = new Vector3f(0, 0, 15);\n\t\tmLookAtPoint = new Vector3f(0, 0, 0);\n\t\tmUpVector = new Vector3f(0, 1, 0);\n\t\tmCameraMatrix = new Matrix4f();\n\t\tthis.update();\n\t}","private void estimateFlatEarthPolynomial() {\n int minLine = 0;\n int maxLine = sourceImageHeight;\n int minPixel = 0;\n int maxPixel = sourceImageWidth;\n \n Rectangle rectangle = new Rectangle();\n rectangle.setSize(maxPixel, maxLine);\n \n // int srpPolynomialDegree = 5; // for flat earth phase\n int numberOfCoefficients = numberOfCoefficients(srpPolynomialDegree);\n \n double[][] position = distributePoints(srpNumberPoints, rectangle);\n \n // setup observation and design matrix\n DoubleMatrix y = new DoubleMatrix(srpNumberPoints);\n DoubleMatrix A = new DoubleMatrix(srpNumberPoints, numberOfCoefficients);\n \n double masterMinPi4divLam = (-4 * Math.PI * Constants.lightSpeed) / masterMetadata.radar_wavelength;\n double slaveMinPi4divLam = (-4 * Math.PI * Constants.lightSpeed) / slaveMetadata.radar_wavelength;\n \n // Loop throu a vector or distributedPoints()\n for (int i = 0; i < srpNumberPoints; ++i) {\n \n double line = position[i][0];\n double pixel = position[i][1];\n \n // compute azimuth/range time for this pixel\n final double masterTimeRange = pix2tr(pixel, masterMetadata);\n \n // compute xyz of this point : sourceMaster\n Point3d xyzMaster = lp2xyz(line, pixel, masterMetadata, masterOrbit);\n \n final Point2d slaveTimeVector = xyz2t(xyzMaster, slaveMetadata, slaveOrbit);\n final double slaveTimeRange = slaveTimeVector.x;\n \n // observation vector\n y.put(i, (masterMinPi4divLam * masterTimeRange) - (slaveMinPi4divLam * slaveTimeRange));\n \n // set up a system of equations\n // ______Order unknowns: A00 A10 A01 A20 A11 A02 A30 A21 A12 A03 for degree=3______\n double posL = normalize(line, minLine, maxLine);\n double posP = normalize(pixel, minPixel, maxPixel);\n \n int index = 0;\n \n for (int j = 0; j <= srpPolynomialDegree; j++) {\n for (int k = 0; k <= j; k++) {\n // System.out.println(\"A[\" + i + \",\" + index + \"]: \"\n // + Math.pow(posL, (float) (j - k)) * Math.pow(posP, (float) k));\n A.put(i, index, (Math.pow(posL, (double) (j - k)) * Math.pow(posP, (double) k)));\n index++;\n }\n }\n }\n \n // Fit polynomial through computed vector of phases\n DoubleMatrix Atranspose = A.transpose();\n DoubleMatrix N = Atranspose.mmul(A);\n DoubleMatrix rhs = Atranspose.mmul(y);\n \n // TODO: validate Cholesky decomposition of JBLAS: see how it is in polyfit and reuse!\n \n // this should be the coefficient of the reference phase\n flatEarthPolyCoefs = Solve.solve(N, rhs);\n \n /*\n System.out.println(\"*******************************************************************\");\n System.out.println(\"_Start_flat_earth\");\n System.out.println(\"*******************************************************************\");\n System.out.println(\"Degree_flat:\" + polyDegree);\n System.out.println(\"Estimated_coefficients_flatearth:\");\n int coeffLine = 0;\n int coeffPixel = 0;\n for (int i = 0; i < numberOfCoefficients; i++) {\n if (flatEarthPolyCoefs.get(i, 0) < 0.) {\n System.out.print(flatEarthPolyCoefs.get(i, 0));\n } else {\n System.out.print(\" \" + flatEarthPolyCoefs.get(i, 0));\n }\n \n System.out.print(\" \\t\" + coeffLine + \" \" + coeffPixel + \"\\n\");\n coeffLine--;\n coeffPixel++;\n if (coeffLine == -1) {\n coeffLine = coeffPixel;\n coeffPixel = 0;\n }\n }\n System.out.println(\"*******************************************************************\");\n System.out.println(\"_End_flat_earth\");\n System.out.println(\"*******************************************************************\");\n */\n \n // TODO: test inverse : when cholesky is finished\n // // ______Test inverse______\n // for (i=0; i<Qx_hat.lines(); i++)\n // for (j=0; j<i; j++)\n // Qx_hat(j,i) = Qx_hat(i,j);// repair Qx_hat\n // const real8 maxdev = max(abs(N*Qx_hat-eye(real8(Qx_hat.lines()))));\n // INFO << \"flatearth: max(abs(N*inv(N)-I)) = \" << maxdev;\n // INFO.print();\n // if (maxdev > .01)\n // {\n // ERROR << \"Deviation too large. Decrease degree or number of points?\";\n // PRINT_ERROR(ERROR.get_str())\n // throw(some_error);\n // }\n // else if (maxdev > .001)\n // {\n // WARNING << \"Deviation quite large. Decrease degree or number of points?\";\n // WARNING.print();\n // }\n // else\n // {\n // INFO.print(\"Deviation is OK.\");\n // }\n // // ______Some other stuff, scale is ok______\n // matrix<real8> y_hat = A * rhs;\n // matrix<real8> e_hat = y - y_hat;\n }","public abstract Vector4fc zero();","void createDummyPbufferSurface();","public void invertNormals() {\n mCubeNormalData = new float[]\n {\n // Front face\n 0.0f, 0.0f, -1.0f,\n 0.0f, 0.0f, -1.0f,\n 0.0f, 0.0f, -1.0f,\n 0.0f, 0.0f, -1.0f,\n 0.0f, 0.0f, -1.0f,\n 0.0f, 0.0f, -1.0f,\n // Right face\n -1.0f, 0.0f, 0.0f,\n -1.0f, 0.0f, 0.0f,\n -1.0f, 0.0f, 0.0f,\n -1.0f, 0.0f, 0.0f,\n -1.0f, 0.0f, 0.0f,\n -1.0f, 0.0f, 0.0f,\n // Back face\n 0.0f, 0.0f, 1.0f,\n 0.0f, 0.0f, 1.0f,\n 0.0f, 0.0f, 1.0f,\n 0.0f, 0.0f, 1.0f,\n 0.0f, 0.0f, 1.0f,\n 0.0f, 0.0f, 1.0f,\n // Left face\n 1.0f, 0.0f, 0.0f,\n 1.0f, 0.0f, 0.0f,\n 1.0f, 0.0f, 0.0f,\n 1.0f, 0.0f, 0.0f,\n 1.0f, 0.0f, 0.0f,\n 1.0f, 0.0f, 0.0f,\n // Top face\n 0.0f, -1.0f, 0.0f,\n 0.0f, -1.0f, 0.0f,\n 0.0f, -1.0f, 0.0f,\n 0.0f, -1.0f, 0.0f,\n 0.0f, -1.0f, 0.0f,\n 0.0f, -1.0f, 0.0f,\n // Bottom face\n 0.0f, 1.0f, 0.0f,\n 0.0f, 1.0f, 0.0f,\n 0.0f, 1.0f, 0.0f,\n 0.0f, 1.0f, 0.0f,\n 0.0f, 1.0f, 0.0f,\n 0.0f, 1.0f, 0.0f\n };\n mCubeNormals.put(mCubeNormalData).position(0);\n\n }","public void evaluate_surface() {\n if (surface_type != 2) {\n double epsilon = 0.001;\n\n for (int i = 0; i < nr_of_segments; i++) {\n for (double u = 0.0; u < 1.0 - epsilon; u = u + step) {\n for (int j = 0; j < points_per_segment; j++) {\n for (double v = 0.0; v < 1.0 - epsilon; v = v + step) {\n evaluated_points[(int) (((i + u) / step) + epsilon)][(int) (((j + v) / step)\n + epsilon)] = evaluate_point_on_surface(i, j, u, v);\n }\n }\n }\n }\n }\n\n }","synchronized private void setupForDisplay() {\n \t\tif (-1 == n_points) n_points = 0;\n \t\t// load points\n \t\t/* Database storage not implemented yet\n \t\tif (null == p) {\n \t\t\tArrayList al = project.getLoader().fetchPolylinePoints(id);\n \t\t\tn_points = al.size();\n \t\t\tp = new double[2][n_points];\n \t\t\tp_layer = new long[n_points];\n \t\t\tIterator it = al.iterator();\n \t\t\tint i = 0;\n \t\t\twhile (it.hasNext()) {\n \t\t\t\tObject[] ob = (Object[])it.next();\n \t\t\t\tp[0][i] = ((Double)ob[0]).doubleValue();\n \t\t\t\tp[1][i] = ((Double)ob[1]).doubleValue();\n \t\t\t\tp_layer[i] = ((Long)ob[7]).longValue();\n \t\t\t\ti++;\n \t\t\t}\n \t\t}\n \t\t*/\n \t}","public static void main( String args[] )\n {\n JFrame f = new JFrame(\"Test for AltAzController\");\n f.setBounds(0,0,200,200);\n AltAzController controller = new AltAzController();\n// controller.setVirtualScreenSize( 2, 2 );\n f.getContentPane().add( controller );\n f.setVisible( true );\n\n\n JFrame window = new JFrame(\"Test for AltAzController\");\n window.setBounds(20,20,500,500);\n ThreeD_JPanel test = new ThreeD_JPanel();\n window.getContentPane().add( test );\n window.setVisible( true );\n\n controller.addControlledPanel( test );\n IThreeD_Object objs[] = new IThreeD_Object[6];\n Vector3D pts[] = new Vector3D[6];\n pts[0] = new Vector3D( -1, 1, 0 );\n pts[1] = new Vector3D( 1, 1, 0 );\n pts[2] = new Vector3D( 1, 1, 1 );\n pts[3] = new Vector3D( 1, 1, 0 );\n pts[4] = new Vector3D( 1, -1, 0 );\n pts[5] = new Vector3D( -1, -1, 0 );\n objs[0] = new Polyline( pts, Color.CYAN );\n\n pts = new Vector3D[2];\n pts[0] = new Vector3D( 0, 0, 0 );\n pts[1] = new Vector3D( 1, 0, 0 );\n objs[1] = new Polyline( pts, Color.RED );\n\n pts = new Vector3D[2];\n pts[0] = new Vector3D( 0, 0, 0 );\n pts[1] = new Vector3D( 0, 1, 0 );\n objs[2] = new Polyline( pts, Color.GREEN );\n\n pts = new Vector3D[2];\n pts[0] = new Vector3D( 0, 0, 0 );\n pts[1] = new Vector3D( 0, 0, 1 );\n objs[3] = new Polyline( pts, Color.BLUE );\n\n Vector3D center = new Vector3D( -1, -1, 1 );\n Vector3D x_vec = new Vector3D( -1, 1, 0 );\n Vector3D y_vec = new Vector3D( 0, 0, 1 );\n float width = 3;\n float height = 2;\n Color[][] colors = { { Color.RED, Color.GREEN, Color.BLUE },\n { Color.YELLOW, Color.CYAN, Color.MAGENTA },\n { Color.ORANGE, Color.GRAY, Color.WHITE } };\n\n ImageRectangle1 im_rect = new ImageRectangle1( center,\n x_vec,\n y_vec,\n width,\n height,\n colors );\n objs[4] = im_rect;\n\n\n center = new Vector3D( 1, 1, 1 );\n y_vec = new Vector3D( 1, 1, 0 );\n x_vec = new Vector3D( 1, -1, 0 );\n width = 2;\n height = 4;\n Color[][] colors_2 = { { Color.RED, Color.GREEN, Color.BLUE },\n { Color.YELLOW, Color.CYAN, Color.MAGENTA } };\n\n ImageRectangle1 im_rect_2 = new ImageRectangle1( center,\n x_vec,\n y_vec,\n width,\n height,\n colors_2 );\n objs[5] = im_rect_2;\n\n\n test.setObjects( \"SAMPLE_OBJECTS\", objs );\n\n controller.apply( true );\n }"],"string":"[\n \"protected final void resetClipPlanes()\\n {\\n // set the point for each plane to the viewer position\\n Vector3d loc = myPosition.getLocation();\\n myLeftClip.setPoint(loc);\\n myRightClip.setPoint(loc);\\n myBottomClip.setPoint(loc);\\n myTopClip.setPoint(loc);\\n myRightClip.setNormal(myPosition.getRight().rotate(myPosition.getUp(), Math.PI - myHalfFOVx));\\n myLeftClip.setNormal(myPosition.getRight().rotate(myPosition.getUp(), myHalfFOVx));\\n myBottomClip.setNormal(myPosition.getUp().rotate(myPosition.getRight(), -myHalfFOVy));\\n // Increase the top clip a bit to account for zoomed in with terrain.\\n myTopClip.setNormal(myPosition.getUp().rotate(myPosition.getRight(), myHalfFOVy - Math.PI + ourTopClipIncreaseAngle));\\n }\",\n \"public void setPlanes(ArrayList planes) {\\n this.planes = planes;\\n }\",\n \"public void setPlanes(List<Plan> planes) {\\n\\t\\tthis.planes = planes;\\n\\t}\",\n \"private void init() {\\r\\n\\tlocals = new float[maxpoints * 3];\\r\\n\\ti = new float[] {1, 0, 0};\\r\\n\\tj = new float[] {0, 1, 0};\\r\\n\\tk = new float[] {0, 0, 1};\\r\\n\\ti_ = new float[] {1, 0, 0};\\r\\n\\tk_ = new float[] {0, 0, 1};\\r\\n }\",\n \"public Plane() {\\r\\n\\t\\tvecX = new Vector3D();\\r\\n\\t\\tvecY = new Vector3D();\\r\\n\\t\\tnorm = new Vector3D();\\r\\n\\t\\tthis.setD(0);\\r\\n\\t\\tpos = new Position3D();\\r\\n\\t}\",\n \"void restoreBefore() {\\r\\n\\t\\t\\tsurface.basemap.clear();\\r\\n\\t\\t\\tsurface.basemap.putAll(basemapBefore);\\r\\n\\t\\t\\tsurface.buildingmap.clear();\\r\\n\\t\\t\\tsurface.buildingmap.putAll(buildingmapBefore);\\r\\n\\t\\t\\tsurface.features.clear();\\r\\n\\t\\t\\tsurface.features.addAll(surfaceBefore);\\r\\n\\t\\t\\tsurface.buildings.clear();\\r\\n\\t\\t\\tsurface.buildings.addAll(buildingsBefore);\\r\\n\\t\\t}\",\n \"private void createLayers() {\\n mAktieCubeLayers[kUp] = new AktieCubeLayer(AktieCubeLayer.kAxisY);\\n mAktieCubeLayers[kDown] = new AktieCubeLayer(AktieCubeLayer.kAxisY);\\n mAktieCubeLayers[kLeft] = new AktieCubeLayer(AktieCubeLayer.kAxisX);\\n mAktieCubeLayers[kRight] = new AktieCubeLayer(AktieCubeLayer.kAxisX);\\n mAktieCubeLayers[kFront] = new AktieCubeLayer(AktieCubeLayer.kAxisZ);\\n mAktieCubeLayers[kBack] = new AktieCubeLayer(AktieCubeLayer.kAxisZ);\\n mAktieCubeLayers[kMiddle] = new AktieCubeLayer(AktieCubeLayer.kAxisX);\\n mAktieCubeLayers[kEquator] = new AktieCubeLayer(AktieCubeLayer.kAxisY);\\n mAktieCubeLayers[kSide] = new AktieCubeLayer(AktieCubeLayer.kAxisZ);\\n }\",\n \"public void pre() {\\r\\n if(!isTiling) return;\\r\\n if(firstFrame) firstFrame=false;\\r\\n else if(secondFrame) {\\r\\n secondFrame=false;\\r\\n tileInc();\\r\\n }\\r\\n setupCamera();\\r\\n }\",\n \"private Matrix performPlanarCalibration(ArrayList<double[]> points2d_in, ArrayList<double[]> points3d_in, int planeID) {\\n\\t\\tint numberOfPoints = points2d_in.size();\\n\\t\\tMatrix A = new Matrix(numberOfPoints * 2, 8);\\n\\t\\tMatrix B = new Matrix(numberOfPoints * 2, 1);\\n\\t\\tint coordinateIndex = 0;\\n\\t\\tif (planeID == 0) coordinateIndex = 1;\\n\\t\\tif (planeID == 1) coordinateIndex = 0;\\n\\t\\tfor (int i = 0; i < numberOfPoints; i++) {\\n\\t\\t\\tint c = 0;\\n\\t\\t\\tA.set(2*i, c++, points3d_in.get(i)[coordinateIndex]);\\n\\t\\t\\tA.set(2*i, c++, points3d_in.get(i)[2]);\\n\\t\\t\\tA.set(2*i, c++, 1.0);\\n\\t\\t\\tA.set(2*i, c++, 0.0);\\n\\t\\t\\tA.set(2*i, c++, 0.0);\\n\\t\\t\\tA.set(2*i, c++, 0.0);\\n\\t\\t\\tA.set(i << 1, c++, -points2d_in.get(i)[0] * points3d_in.get(i)[coordinateIndex]);\\n\\t\\t\\tA.set(i << 1, c++, -points2d_in.get(i)[0] * points3d_in.get(i)[2]);\\n\\t\\t\\tc = 0;\\n\\t\\t\\tA.set(i * 2 + 1, c++, 0.0);\\n\\t\\t\\tA.set(i * 2 + 1, c++, 0.0);\\n\\t\\t\\tA.set(i * 2 + 1, c++, 0.0);\\n\\t\\t\\tA.set(i * 2 + 1, c++, points3d_in.get(i)[coordinateIndex]);\\n\\t\\t\\tA.set(i * 2 + 1, c++, points3d_in.get(i)[2]);\\n\\t\\t\\tA.set(i * 2 + 1, c++, 1.0);\\n\\t\\t\\tA.set(i * 2 + 1, c++, -(points2d_in).get(i)[1] * (points3d_in).get(i)[coordinateIndex]);\\n\\t\\t\\tA.set(i * 2 + 1, c++, -(points2d_in).get(i)[1] * (points3d_in).get(i)[2]);\\n\\t\\t\\tB.set(i * 2, points2d_in.get(i)[0]);\\n\\t\\t\\tB.set(i * 2 + 1, points2d_in.get(i)[1]);\\n\\t\\t}\\n\\t\\tMatrix x = A.inverse().mul(B);\\n\\t\\tMatrix prj = new Matrix(3, 3);\\n\\t\\tfor (int i = 0; i < 8; i++) {\\n\\t\\t\\tprj.set(i / 3, i % 3, x.get(i, 0));\\n\\t\\t}\\n\\t\\tprj.set(2, 2, 1.0);\\n\\t\\tMatrix P = new Matrix(3, 4);\\n\\t\\tfor (int i = 0; i < 3; i++) {\\n\\t\\t\\tint c = 0;\\n\\t\\t\\tfor (int j = 0; j < 4; j++) {\\n\\t\\t\\t\\tif (j == planeID)\\n\\t\\t\\t\\t\\tP.set(i, j, 0.0);\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\tP.set(i, j, prj.get(i, c++));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn P;\\n\\t}\",\n \"public void leerPlanesDietas();\",\n \"private void arretes_fY(){\\n\\t\\tthis.cube[49] = this.cube[46]; \\n\\t\\tthis.cube[46] = this.cube[48];\\n\\t\\tthis.cube[48] = this.cube[52];\\n\\t\\tthis.cube[52] = this.cube[50];\\n\\t\\tthis.cube[50] = this.cube[49];\\n\\t}\",\n \"public static vtkPlaneCollection computeClippingPlane(Canvas canvas, Point pressPosition, Point releasePosition)\\n\\t{\\n\\t\\tvtkRenderer render = canvas.GetRenderer();\\n\\t\\tvtkPlaneCollection planes = new vtkPlaneCollection();\\n\\t\\tvtkPlane plane = null;\\n\\t\\tdouble[] p1;\\n\\t\\tdouble[] p2;\\n\\t\\tdouble[] p3;\\n\\n\\t\\t/**\\n\\t\\t * These are the two points in the screen that define the different clipping planes\\n\\t\\t */\\n\\t\\tint[][] pos1 =\\n\\t\\t{\\n\\t\\t\\t{\\n\\t\\t\\t\\tpressPosition.x, pressPosition.y\\n\\t\\t\\t}, // Left plane\\n\\n\\t\\t\\t{\\n\\t\\t\\t\\treleasePosition.x, pressPosition.y\\n\\t\\t\\t}, // Top plane\\n\\n\\t\\t\\t{\\n\\t\\t\\t\\treleasePosition.x, releasePosition.y\\n\\t\\t\\t}, // Right plane\\n\\n\\t\\t\\t{\\n\\t\\t\\t\\tpressPosition.x, releasePosition.y\\n\\t\\t\\t} // Bottom plane\\n\\n\\t\\t};\\n\\t\\tint[][] pos2 =\\n\\t\\t{\\n\\t\\t\\t{\\n\\t\\t\\t\\tpressPosition.x, releasePosition.y\\n\\t\\t\\t},\\n\\t\\t\\t{\\n\\t\\t\\t\\tpressPosition.x, pressPosition.y\\n\\t\\t\\t},\\n\\t\\t\\t{\\n\\t\\t\\t\\treleasePosition.x, pressPosition.y\\n\\t\\t\\t},\\n\\t\\t\\t{\\n\\t\\t\\t\\treleasePosition.x, releasePosition.y\\n\\t\\t\\t}\\n\\t\\t};\\n\\n\\t\\tfor (int i = 0; i < 4; ++i)\\n\\t\\t{\\n\\t\\t\\tplane = new vtkPlane();\\n\\t\\t\\trender.SetDisplayPoint(pos1[i][0], pos1[i][1], 0.);\\n\\t\\t\\trender.DisplayToWorld();\\n\\t\\t\\tp1 = render.GetWorldPoint();\\n\\t\\t\\trender.SetDisplayPoint(pos1[i][0], pos1[i][1], 1.);\\n\\t\\t\\trender.DisplayToWorld();\\n\\t\\t\\tp2 = render.GetWorldPoint();\\n\\t\\t\\trender.SetDisplayPoint(pos2[i][0], pos2[i][1], 1.);\\n\\t\\t\\trender.DisplayToWorld();\\n\\t\\t\\tp3 = render.GetWorldPoint();\\n\\n\\t\\t\\t// Compute two vectors of the plane\\n\\t\\t\\tVector3d v1 = new Vector3d();\\n\\t\\t\\tVector3d v2 = new Vector3d();\\n\\t\\t\\tVector3d n = new Vector3d();\\n\\n\\t\\t\\tv1.set(p2);\\n\\t\\t\\tv2.set(p1);\\n\\t\\t\\tn.set(p3);\\n\\t\\t\\tv1.sub(v2);\\n\\t\\t\\tv2.sub(n);\\n\\n\\t\\t\\t// Compute cross product (the normal of the plane) between p1 and p2\\n\\t\\t\\tn.cross(v1, v2);\\n\\t\\t\\tn.normalize();\\n\\n\\t\\t\\tplane.SetNormal(n.x, n.y, n.z);\\n\\t\\t\\tplane.SetOrigin(p1);\\n\\t\\t\\tplanes.AddItem(plane);\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn planes;\\n\\t}\",\n \"public void recalculateVertices() {\\n\\t\\tfinal Image image = this.image.get();\\n\\t\\tvertices[0].setSample(image.getWidth() * 1 / 2,\\n\\t\\t image.getHeight() * 3 / 10,\\n\\t\\t image.getWidth() / 10,\\n\\t\\t image.getHeight() / 10,\\n\\t\\t image.getWidth(), image.getHeight());\\n\\t\\tvertices[1].setSample(image.getWidth() * 3 / 10,\\n\\t\\t image.getHeight() * 7 / 10,\\n\\t\\t image.getWidth() / 10,\\n\\t\\t image.getHeight() / 10,\\n\\t\\t image.getWidth(), image.getHeight());\\n\\t\\tvertices[2].setSample(image.getWidth() * 7 / 10,\\n\\t\\t image.getHeight() * 7 / 10,\\n\\t\\t image.getWidth() / 10,\\n\\t\\t image.getHeight() / 10,\\n\\t\\t image.getWidth(), image.getHeight());\\n\\t}\",\n \"private void aretes_aR(){\\n\\t\\tthis.cube[13] = this.cube[52]; \\n\\t\\tthis.cube[52] = this.cube[19];\\n\\t\\tthis.cube[19] = this.cube[1];\\n\\t\\tthis.cube[1] = this.cube[28];\\n\\t\\tthis.cube[28] = this.cube[13];\\n\\t}\",\n \"private void arretes_fR(){\\n\\t\\tthis.cube[13] = this.cube[10]; \\n\\t\\tthis.cube[10] = this.cube[12];\\n\\t\\tthis.cube[12] = this.cube[16];\\n\\t\\tthis.cube[16] = this.cube[14];\\n\\t\\tthis.cube[14] = this.cube[13];\\n\\t}\",\n \"private void init() {\\r\\n\\r\\n\\t\\tPlanetLayoutGenerator gen = new PlanetLayoutGenerator();\\r\\n\\t\\tint planetCount = 15;\\r\\n\\t\\tint width = 5, height = 5, depth = 5;\\r\\n\\t\\tint[][][] layout = gen.generate(width, height, depth, planetCount);\\r\\n\\t\\tfinal float minSize = 4, maxSize = 10;\\r\\n\\t\\tfinal float gap = (C.World.PlanetBoxSize - maxSize*width)/(width-1);\\r\\n\\r\\n\\t\\tTextureRegion textures[] = new TextureRegion[] {\\r\\n\\t\\t\\tassets.planetNeptune,\\r\\n\\t\\t\\tassets.planetSaturn,\\r\\n\\t\\t\\tassets.planetEarth,\\r\\n\\t\\t};\\r\\n\\t\\tfloat x = -C.World.PlanetBoxSize/2 + maxSize/2;\\r\\n\\t\\tfloat y = -C.World.PlanetBoxSize/2 + maxSize/2;\\r\\n\\t\\tfloat z = -C.World.PlanetBoxSize/2 + maxSize/2;\\r\\n\\r\\n\\t\\tfor (int ix = 0; ix < width; ++ix) {\\r\\n\\t\\t\\tfor (int iy = 0; iy < height; ++iy) {\\r\\n\\t\\t\\t\\tfor (int iz = 0; iz < depth; ++iz) {\\r\\n\\t\\t\\t\\t\\tif (layout[ix][iy][iz] == 1) {\\r\\n\\t\\t\\t\\t\\t\\tTextureRegion tex = textures[(ix+iy+iz)%3];\\r\\n\\t\\t\\t\\t\\t\\tfloat size = MathUtils.random(minSize, maxSize);\\r\\n\\r\\n\\t\\t\\t\\t\\t\\tfactory.createPlanet(x+ix*(maxSize+gap), y+iy*(maxSize+gap), z+iz*(maxSize+gap), size, 0, tex);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tEntity player = factory.createPlayerShip(0, 0, 5);\\r\\n\\t\\tplayerSystem.setPlayer(player);\\r\\n\\r\\n\\t\\tcollisions.relations.connectGroups(CollisionGroups.PLAYER_2D, CollisionGroups.PLANETS_2D);\\r\\n\\t}\",\n \"public void\\n doExtraInformation(Ray inRay, double inT, \\n GeometryIntersectionInformation outData) {\\n outData.p = lastInfo.p;\\n\\n switch ( lastPlane ) {\\n case 1:\\n outData.n.x = 0;\\n outData.n.y = 0;\\n outData.n.z = 1;\\n outData.u = outData.p.y / size.y - 0.5;\\n outData.v = 1-(outData.p.x / size.x - 0.5);\\n outData.t.x = 0;\\n outData.t.y = 1;\\n outData.t.z = 0;\\n break;\\n case 2:\\n outData.n.x = 0;\\n outData.n.y = 0;\\n outData.n.z = -1;\\n outData.u = outData.p.y / size.y - 0.5;\\n outData.v = outData.p.x / size.x - 0.5;\\n outData.t.x = 0;\\n outData.t.y = 1;\\n outData.t.z = 0;\\n break;\\n case 3:\\n outData.n.x = 0;\\n outData.n.z = 0;\\n outData.n.y = 1;\\n outData.u = 1-(outData.p.x / size.x - 0.5);\\n outData.v = outData.p.z / size.z - 0.5;\\n outData.t.x = -1;\\n outData.t.y = 0;\\n outData.t.z = 0;\\n break;\\n case 4:\\n outData.n.x = 0;\\n outData.n.z = 0;\\n outData.n.y = -1;\\n outData.u = outData.p.x / size.x - 0.5;\\n outData.v = outData.p.z / size.z - 0.5;\\n outData.t.x = 1;\\n outData.t.y = 0;\\n outData.t.z = 0;\\n break;\\n case 5:\\n outData.n.x = 1;\\n outData.n.y = 0;\\n outData.n.z = 0;\\n outData.u = outData.p.y / size.y - 0.5;\\n outData.v = outData.p.z / size.z - 0.5;\\n outData.t.x = 0;\\n outData.t.y = 1;\\n outData.t.z = 0;\\n break;\\n case 6:\\n outData.n.x = -1;\\n outData.n.y = 0;\\n outData.n.z = 0;\\n outData.u = 1-(outData.p.y / size.y - 0.5);\\n outData.v = outData.p.z / size.z - 0.5;\\n outData.t.x = 0;\\n outData.t.y = -1;\\n outData.t.z = 0;\\n break;\\n default:\\n outData.u = 0;\\n outData.v = 0;\\n break;\\n }\\n }\",\n \"Plane getPlane();\",\n \"protected void initTransforms() {\\n for (int i = 0; i < cornerCount; i++) {\\n int index = cornerOffset + i;\\n identityVertexMatrix[index] = new idx3d_Matrix();\\n }\\n\\n // 0:urf\\n identityVertexMatrix[cornerOffset + 0].rotate(0, -HALF_PI, 0);\\n // 1:dfr\\n identityVertexMatrix[cornerOffset + 1].rotate(0, 0, PI);\\n // 2:ubr\\n identityVertexMatrix[cornerOffset + 2].rotate(0, PI, 0);\\n // 3:drb\\n identityVertexMatrix[cornerOffset + 3].rotate(0, 0, PI);\\n identityVertexMatrix[cornerOffset + 3].rotate(0, -HALF_PI, 0);\\n // 4:ulb\\n identityVertexMatrix[cornerOffset + 4].rotate(0, HALF_PI, 0);\\n // 5:dbl\\n identityVertexMatrix[cornerOffset + 5].rotate(PI, 0, 0);\\n // 6:ufl\\n //--no transformation---\\n // 7:dlf\\n identityVertexMatrix[cornerOffset + 7].rotate(0, HALF_PI, 0);\\n identityVertexMatrix[cornerOffset + 7].rotate(PI, 0, 0);\\n //\\n // We can clone the normalmatrix here form the vertex matrix, because\\n // the vertex matrix consists of rotations only.\\n for (int i = 0; i < cornerCount; i++) {\\n identityNormalMatrix[i] = identityVertexMatrix[i].getClone();\\n }\\n\\n /**\\n * Edges\\n */\\n // Move all edge parts to front up (fu) and then rotate them in place\\n for (int i = 0; i < edgeCount; i++) {\\n int index = edgeOffset + i;\\n idx3d_Matrix vt = new idx3d_Matrix();\\n idx3d_Matrix nt = new idx3d_Matrix();\\n identityVertexMatrix[index] = vt;\\n identityNormalMatrix[index] = nt;\\n // The vertex matrix is the same as the normal matrix, but with\\n // an additional shift, which is made before the rotation.\\n if (i >= 12) {\\n switch ((i - 12) % 24) {\\n case 12:\\n case 13:\\n case 2:\\n case 3:\\n case 4:\\n case 17:\\n case 6:\\n case 19:\\n case 20:\\n case 21:\\n case 10:\\n case 11:\\n vt.shift(PART_LENGTH*((i+12)/24), 0f, 0f);\\n break;\\n default:\\n vt.shift(-PART_LENGTH*((i+12)/24), 0f, 0f);\\n break;\\n }\\n }\\n // Now we do the rotation with the normal matrix only\\n switch (i % 12) {\\n case 0: // ur\\n nt.rotate(0, HALF_PI, 0f);\\n nt.rotate(0, 0, HALF_PI);\\n break;\\n case 1: // rf\\n nt.rotate(0, -HALF_PI, 0);\\n nt.rotate(HALF_PI, 0, 0);\\n break;\\n case 2: // dr\\n nt.rotate(0, -HALF_PI, HALF_PI);\\n break;\\n case 3: // bu\\n nt.rotate(0, PI, 0);\\n break;\\n case 4: // rb\\n nt.rotate(0, 0, HALF_PI);\\n nt.rotate(0, -HALF_PI, 0);\\n break;\\n case 5: // bd\\n nt.rotate(PI, 0, 0);\\n break;\\n case 6: // ul\\n nt.rotate(-HALF_PI, -HALF_PI, 0);\\n break;\\n case 7: // lb\\n nt.rotate(0, 0, -HALF_PI);\\n nt.rotate(0, HALF_PI, 0);\\n break;\\n case 8: // dl\\n nt.rotate(HALF_PI, HALF_PI, 0);\\n break;\\n case 9: // fu\\n //--no transformation--\\n break;\\n case 10: // lf\\n nt.rotate(0, 0, HALF_PI);\\n nt.rotate(0, HALF_PI, 0);\\n break;\\n case 11: // fd\\n nt.rotate(0, 0, PI);\\n break;\\n }\\n // Finally, we concatenate the rotation to the vertex matrix\\n vt.transform(nt);\\n }\\n /* Sides\\n */\\n // Move all side parts to the front side and rotate them into place\\n for (int i = 0; i < sideCount; i++) {\\n int index = sideOffset + i;\\n idx3d_Matrix vt = new idx3d_Matrix();\\n idx3d_Matrix nt = new idx3d_Matrix();\\n identityVertexMatrix[index] = vt;\\n identityNormalMatrix[index] = nt;\\n // The vertex matrix is the same as the normal matrix, but with\\n // an additional shift, which is made before the rotation.\\n switch (i / 6) {\\n // central part\\n case 0 :\\n // vt.shift(0, 0, 0);\\n break;\\n // inner ring\\n case 1:\\n vt.shift(-PART_LENGTH, -PART_LENGTH, 0);\\n break;\\n case 2:\\n vt.shift(-PART_LENGTH, PART_LENGTH, 0);\\n break;\\n case 3:\\n vt.shift(PART_LENGTH, PART_LENGTH, 0);\\n break;\\n case 4:\\n vt.shift(PART_LENGTH, -PART_LENGTH, 0);\\n break;\\n case 5:\\n vt.shift(0, -PART_LENGTH, 0);\\n break;\\n case 6:\\n vt.shift(-PART_LENGTH, 0, 0);\\n break;\\n case 7:\\n vt.shift(0, PART_LENGTH, 0);\\n break;\\n case 8:\\n vt.shift(PART_LENGTH, 0, 0);\\n break;\\n // outer ring corners\\n /*\\n * +---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+\\n * | .0 | .2 | .3 | .1 |\\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\\n * | |75 |129|81 |105|57 | | |62 |140|92 |116|68 | | |66 |144|96 |120|72 | | |59 |137|89 |113|65 | |\\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\\n * | |123|27 |33 | 9 |135| | |110|14 |44 |20 |146| | |114|18 |48 |24 |126| | |107|11 |41 |17 |143| |\\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\\n * | .3|99 |51 | 3 |39 |87 |.1 | .1|86 |38 | 2 |50 |98 |.3 | .2|90 |42 | 0 |30 |78 |.0 | .0|83 |35 | 5 |47 |95 |.2 |\\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\\n * | |147|21 |45 |15 |111| | |134| 8 |32 |26 |122| | |138|12 |36 | 6 |102| | |131|29 |53 |23 |119| |\\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\\n * | |69 |117|93 |141|63 | | |56 |104|80 |128|74 | | |60 |108|84 |132|54 | | |77 |125|101|149|71 | |\\n * + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ + +---+---+---+---+---+ +\\n * | .2 | .0 | .1 | .3 |\\n * +---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+\\n */\\n case 9:\\n vt.shift(-2f*PART_LENGTH, -2f*PART_LENGTH, 0);\\n break;\\n case 10:\\n vt.shift(-2f*PART_LENGTH, 2f*PART_LENGTH, 0);\\n break;\\n case 11:\\n vt.shift(2f*PART_LENGTH, 2f*PART_LENGTH, 0);\\n break;\\n case 12:\\n vt.shift(2f*PART_LENGTH, -2f*PART_LENGTH, 0);\\n break;\\n // outer ring central edges\\n case 13:\\n vt.shift(0, -2f*PART_LENGTH, 0);\\n break;\\n case 14:\\n vt.shift(-2f*PART_LENGTH, 0, 0);\\n break;\\n case 15:\\n vt.shift(0, 2f*PART_LENGTH, 0);\\n break;\\n case 16:\\n vt.shift(2f*PART_LENGTH, 0, 0);\\n break;\\n // outer ring clockwise shifted edges\\n case 17:\\n vt.shift(-PART_LENGTH, -2f*PART_LENGTH, 0);\\n break;\\n case 18:\\n vt.shift(-2f*PART_LENGTH, PART_LENGTH, 0);\\n break;\\n case 19:\\n vt.shift(PART_LENGTH, 2f*PART_LENGTH, 0);\\n break;\\n case 20:\\n vt.shift(2f*PART_LENGTH, -PART_LENGTH, 0);\\n break;\\n // outer ring counter-clockwise shifted edges\\n case 21:\\n vt.shift(PART_LENGTH, -2f*PART_LENGTH, 0);\\n break;\\n case 22:\\n vt.shift(-2f*PART_LENGTH, -PART_LENGTH, 0);\\n break;\\n case 23:\\n vt.shift(-PART_LENGTH, 2f*PART_LENGTH, 0);\\n break;\\n case 24:\\n vt.shift(2f*PART_LENGTH, PART_LENGTH, 0);\\n break;\\n\\n }\\n\\n switch (i % 6) {\\n case 0 : // r\\n nt.rotate(0f, 0f, -HALF_PI);\\n nt.rotate(0f, -HALF_PI, 0f);\\n break;\\n case 1 : // u\\n nt.rotate(0f, 0f, HALF_PI);\\n nt.rotate(-HALF_PI, 0f, 0f);\\n break;\\n case 2 : // f\\n //--no transformation--\\n break;\\n case 3 : // l\\n nt.rotate(0f, 0f, PI);\\n nt.rotate(0f, HALF_PI, 0f);\\n break;\\n case 4 : // d\\n nt.rotate(0f, 0f, PI);\\n nt.rotate(HALF_PI, 0f, 0f);\\n break;\\n case 5 : // b\\n nt.rotate(0f, 0f, HALF_PI);\\n nt.rotate(0f, PI, 0f);\\n break;\\n }\\n // Finally, we concatenate the rotation to the vertex matrix\\n vt.transform(nt);\\n }\\n\\n\\n // Center part\\n identityVertexMatrix[centerOffset] = new idx3d_Matrix();\\n identityNormalMatrix[centerOffset] = new idx3d_Matrix();\\n\\n // copy all vertex locationTransforms into the normal locationTransforms.\\n // create the locationTransforms\\n for (int i = 0; i < partCount; i++) {\\n\\n locationTransforms[i] = new idx3d_Group();\\n locationTransforms[i].matrix.set(identityVertexMatrix[i]);\\n locationTransforms[i].normalmatrix.set(identityNormalMatrix[i]);\\n\\n explosionTransforms[i] = new idx3d_Group();\\n explosionTransforms[i].addChild(parts[i]);\\n locationTransforms[i].addChild(explosionTransforms[i]);\\n }\\n }\",\n \"private static void option3(List<Runway> runways, Queue<Plane> unclearedPlanes) {\\n \\n }\",\n \"protected void preparePainting() {\\n if (paintRegion == null) {\\n prepareRegionProperties();\\n prepareOption();\\n }\\n\\n calculateCameraMatrix();\\n }\",\n \"public static void main(String[] args) {\\n\\t\\tplanes.initialize();\\n\\t\\tplanes.percent();\\n\\t}\",\n \"public InhomogeneousPlanarImagingSurface(\\n\\t\\t\\tVector3D pointOnPlane, Vector3D u, Vector3D v, Vector3D n,\\n\\t\\t\\tVector3D objectPosition, Vector3D imagePosition,\\n\\t\\t\\tParameterCalculationMethod parameterCalculation,\\n\\t\\t\\tdouble parameterValue\\n\\t\\t)\\n\\t{\\n\\t\\t// copy the parameters that can simply be copied\\n\\t\\tthis.pointOnPlane = pointOnPlane;\\n\\t\\tsetUVN(u, v, n);\\n\\t\\t\\n\\t\\t// now calculate everything else, following the Mathematica notebook \\\"gCLAsMapping.nb\\\"\\n\\t\\t\\n\\t\\t// calculate the parameters of the object and image position in the uvn coordinates (pointOnPlane is origin)\\n\\t\\tVector3D o = Vector3D.difference(objectPosition, pointOnPlane).toBasis(uHat, vHat, nHat);\\n\\t\\tVector3D i = Vector3D.difference(imagePosition, pointOnPlane).toBasis(uHat, vHat, nHat);\\n\\t\\t\\n\\t\\tswitch(parameterCalculation)\\n\\t\\t{\\n\\t\\tcase SET_ETA:\\n\\t\\t\\teta = parameterValue;\\n\\t\\t\\t\\n\\t\\t\\t// the focal length\\n\\t\\t\\tf = i.z*o.z/(o.z*eta - i.z);\\n\\t\\t\\t\\n\\t\\t\\t// the coordinates of the lens centre\\n\\t\\t\\tuCOverF = (i.x*o.z*eta - i.z*o.x)/i.z*o.z;\\n\\t\\t\\tvCOverF = (i.y*o.z*eta - i.z*o.y)/i.z*o.z;\\n\\t\\t\\t\\n\\t\\t\\tbreak;\\n\\t\\tcase SET_F:\\n\\t\\tdefault:\\n\\t\\t\\tf = parameterValue;\\n\\t\\t\\t\\n\\t\\t\\t// the other parameters\\n\\t\\t\\tuCOverF = (i.x*o.z/f + i.x - o.x)/o.z;\\n\\t\\t\\tvCOverF = (i.y*o.z/f + i.y - o.y)/o.z;\\n\\t\\t\\teta = (i.z*o.z/f + i.z )/o.z;\\n\\t\\t}\\n\\t}\",\n \"private void arretes_fO(){\\n\\t\\tthis.cube[40] = this.cube[37]; \\n\\t\\tthis.cube[37] = this.cube[39];\\n\\t\\tthis.cube[39] = this.cube[43];\\n\\t\\tthis.cube[43] = this.cube[41];\\n\\t\\tthis.cube[41] = this.cube[40];\\n\\t}\",\n \"private void arretes_fW(){\\n\\t\\tthis.cube[4] = this.cube[1]; \\n\\t\\tthis.cube[1] = this.cube[3];\\n\\t\\tthis.cube[3] = this.cube[7];\\n\\t\\tthis.cube[7] = this.cube[5];\\n\\t\\tthis.cube[5] = this.cube[4];\\n\\t}\",\n \"private void aretes_aY(){\\n\\t\\tthis.cube[49] = this.cube[43]; \\n\\t\\tthis.cube[43] = this.cube[21];\\n\\t\\tthis.cube[21] = this.cube[10];\\n\\t\\tthis.cube[10] = this.cube[32];\\n\\t\\tthis.cube[32] = this.cube[49];\\n\\t}\",\n \"private void aretes_aW(){\\n\\t\\tthis.cube[4] = this.cube[16]; \\n\\t\\tthis.cube[16] = this.cube[23];\\n\\t\\tthis.cube[23] = this.cube[37];\\n\\t\\tthis.cube[37] = this.cube[30];\\n\\t\\tthis.cube[30] = this.cube[4];\\n\\t}\",\n \"public Matrix determineProjectionMatrix(ArrayList<double[]> corners, ArrayList<double[]> pointList2D, ArrayList<double[]> pointList3D) {\\n\\t\\tMatrix projectionMatrix = new Matrix();\\n\\t\\tArrayList<double[]> yzPlane2DPoints = new ArrayList<double[]>();\\n\\t\\tArrayList<double[]> yzPlane3DPoints = new ArrayList<double[]>();\\n\\t\\tArrayList<double[]> xzPlane2DPoints = new ArrayList<double[]>();\\n\\t\\tArrayList<double[]> xzPlane3DPoints = new ArrayList<double[]>();\\n\\t\\tfor (int i=0;i<pointList3D.size();i++) {\\n\\t\\t\\tif (pointList3D.get(i)[1] == 0) {\\n\\t\\t\\t\\txzPlane2DPoints.add(pointList2D.get(i));\\n\\t\\t\\t\\txzPlane3DPoints.add(pointList3D.get(i));\\n\\t\\t\\t} else if (pointList3D.get(i)[0] == 0) {\\n\\t\\t\\t\\tyzPlane2DPoints.add(pointList2D.get(i));\\n\\t\\t\\t\\tyzPlane3DPoints.add(pointList3D.get(i));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tArrayList<double[]> final2D = new ArrayList<double[]>();\\n\\t\\tArrayList<double[]> final3D = new ArrayList<double[]>();\\n\\t\\tif ((xzPlane2DPoints.size() >= 4 && yzPlane2DPoints.size() >= 4)) {\\n\\t\\t\\tdouble gridSize = 0.5;\\n\\t\\t\\tdouble max_u, max_v;\\n\\t\\t\\tint[] gridCount = new int[3];\\n\\t\\t\\tif (yzPlane2DPoints.size() >= 4) {\\n\\t\\t\\t\\tMatrix P_YZ = performPlanarCalibration(yzPlane2DPoints, yzPlane3DPoints, 0);\\n\\t\\t\\t\\tmax_u = 0;\\n\\t\\t\\t\\tmax_v = 0;\\n\\t\\t\\t\\tfor (int i = 0; i < yzPlane3DPoints.size(); i++) {\\n\\t\\t\\t\\t\\tmax_u = Math.max(yzPlane3DPoints.get(i)[1], max_u);\\n\\t\\t\\t\\t\\tmax_v = Math.max(yzPlane3DPoints.get(i)[2], max_v);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tgridCount[0] = 1;\\n\\t\\t\\t\\tgridCount[1] = (int) Math.floor(max_u / gridSize + 1.5);\\n\\t\\t\\t\\tgridCount[2] = (int) Math.floor(max_v / gridSize + 1.5);\\n\\t\\t\\t\\tobtainRefiningPoints(corners, P_YZ, gridSize, gridCount, final2D, final3D);\\n\\t\\t\\t}\\n\\t\\t\\tif (xzPlane2DPoints.size() >= 4) {\\n\\t\\t\\t\\tMatrix P_XZ = performPlanarCalibration(xzPlane2DPoints, xzPlane3DPoints, 1);\\n\\t\\t\\t\\tmax_u = 0;\\n\\t\\t\\t\\tmax_v = 0;\\n\\t\\t\\t\\tfor (int i = 0; i < (int) xzPlane3DPoints.size(); i++) {\\n\\t\\t\\t\\t\\tmax_u = Math.max(xzPlane3DPoints.get(i)[0], max_u);\\n\\t\\t\\t\\t\\tmax_v = Math.max(xzPlane3DPoints.get(i)[2], max_v);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tgridCount[0] = (int) Math.floor(max_u / gridSize + 1.5);\\n\\t\\t\\t\\tgridCount[1] = 1;\\n\\t\\t\\t\\tgridCount[2] = (int) Math.floor(max_v / gridSize + 1.5);\\n\\t\\t\\t\\tobtainRefiningPoints(corners, P_XZ, gridSize, gridCount, final2D, final3D);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tcorners.clear();\\n\\t\\tcorners.addAll(final2D);\\n\\t\\tpointList2D.clear();\\n\\t\\tpointList2D.addAll(final2D);\\n\\t\\tpointList3D.clear();\\n\\t\\tpointList3D.addAll(final3D);\\n\\t\\treturn performCalibration(final2D, final3D);\\n\\t}\",\n \"private void arretes_fG(){\\n\\t\\tthis.cube[31] = this.cube[28]; \\n\\t\\tthis.cube[28] = this.cube[30];\\n\\t\\tthis.cube[30] = this.cube[34];\\n\\t\\tthis.cube[34] = this.cube[32];\\n\\t\\tthis.cube[32] = this.cube[31];\\n\\t}\",\n \"public int getPlanesLanded() {\\r\\n return planesLanded;\\r\\n }\",\n \"private float[] calculatePlaneTransform(double[] point, double normal[],\\n float[] openGlTdepth) {\\n // Vector aligned to gravity.\\n float[] openGlUp = new float[]{0, 1, 0, 0};\\n float[] depthTOpenGl = new float[16];\\n Matrix.invertM(depthTOpenGl, 0, openGlTdepth, 0);\\n\\n float[] depthUp = new float[4];\\n Matrix.multiplyMV(depthUp, 0, depthTOpenGl, 0, openGlUp, 0);\\n\\n // Create the plane matrix transform in depth frame from a point,\\n // the plane normal and the up vector.\\n float[] depthTplane = matrixFromPointNormalUp(point, normal, depthUp);\\n float[] openGlTplane = new float[16];\\n Matrix.multiplyMM(openGlTplane, 0, openGlTdepth, 0, depthTplane, 0);\\n\\n return openGlTplane;\\n }\",\n \"float[][] getCameraVectorsNormal(int resX, int resY){\\n float vectors[][]=new float[resX*resY][3];//first vector index, second the components of the vector\\n float[] vect2=rotateYVector(dir);\\n vect2[1]=0;\\n vect2=normalize(vect2);\\n float[] vect3=normalize(vectorProduct(dir, vect2));//dir, vect2, vect3 base vectors\\n float[] x={0,0,0};\\n float[] y={0,0,0};\\n float[] temp={0,0,0};\\n for(int i=0;i<3;i++){\\n x[i]=(vect2[i])/(resX/2);\\n y[i]=(vect3[i])/(resY/2);\\n temp[i]=vect2[i];\\n }\\n \\n for(int j=0;j<resY;j++){\\n for(int i=0;i<resX;i++){\\n vectors[j*resX+i][0]=dir[0]+vect2[0]+vect3[0];\\n vectors[j*resX+i][1]=dir[1]+vect2[1]+vect3[1];\\n vectors[j*resX+i][2]=dir[2]+vect2[2]+vect3[2];\\n vectors[j*resX+i]=normalize(vectors[j*resX+i]);\\n vect2[0]-=x[0];\\n vect2[1]-=x[1];\\n vect2[2]-=x[2];\\n if((vectorLength(vect2)>(-0.0001)&&vectorLength(vect2)<0.0001)&&(resX%2)==0){\\n vect2[0]-=x[0];\\n vect2[1]-=x[1];\\n vect2[2]-=x[2];\\n }\\n }\\n //printVector(temp);\\n vect2[0]=temp[0];\\n vect2[1]=temp[1];\\n vect2[2]=temp[2];\\n vect3[0]-=y[0];\\n vect3[1]-=y[1];\\n vect3[2]-=y[2];\\n if((vectorLength(vect3)>(-0.0001)&&vectorLength(vect3)<0.0001)&&(resY%2)==0){\\n vect3[0]-=y[0];\\n vect3[1]-=y[1];\\n vect3[2]-=y[2];\\n }\\n }\\n \\n return vectors;\\n }\",\n \"private void prepare()\\n {\\n addObject(new TempoLimite(), 432, 207);\\n addObject(new NumeroVidas(), 395, 278);\\n\\n Cliqueparajogar clique = new Cliqueparajogar();\\n addObject(clique, getWidth()/2, getHeight()/2);\\n\\n Som som = new Som();\\n addObject(som, getWidth() - 37, getHeight()-57);\\n \\n umMin ummin = new umMin();\\n addObject(ummin,630,206);\\n\\n doisMin doismin = new doisMin();\\n addObject(doismin,670,206);\\n \\n tresMin tresmin = new tresMin();\\n addObject(tresmin,710,206);\\n \\n quatroMin quatromin = new quatroMin();\\n addObject(quatromin,750,206);\\n \\n cincoMin cincomin = new cincoMin();\\n addObject(cincomin,790,206);\\n \\n umaVida umavida = new umaVida();\\n addObject(umavida,630,280);\\n \\n duasVidas duasvidas = new duasVidas();\\n addObject(duasvidas,670,280);\\n \\n tresVidas tresvidas = new tresVidas();\\n addObject(tresvidas,710,280);\\n \\n quatroVidas quatrovidas = new quatroVidas();\\n addObject(quatrovidas,750,280);\\n \\n cincoVidas cincovidas = new cincoVidas();\\n addObject(cincovidas,790,280);\\n \\n voltaratras voltar = new voltaratras();\\n addObject(voltar, getWidth() -37, 428);\\n }\",\n \"float[][] getCameraVectors(int resX, int resY){\\n float vectors[][]=new float[resX*resY][3];//first vector index, second the components of the vector\\n float[] vect2=rotateYVector(dir);\\n vect2[1]=0;\\n vect2=normalize(vect2);\\n float[] vect3=normalize(vectorProduct(dir, vect2));//dir, vect2, vect3 base vectors\\n float[] x={0,0,0};\\n float[] y={0,0,0};\\n float[] temp={0,0,0};\\n for(int i=0;i<3;i++){\\n x[i]=(vect2[i])/(resX/2);\\n y[i]=(vect3[i])/(resY/2);\\n temp[i]=vect2[i];\\n }\\n \\n for(int j=0;j<resY;j++){\\n for(int i=0;i<resX;i++){\\n vectors[j*resX+i][0]=dir[0]+vect2[0]+vect3[0];\\n vectors[j*resX+i][1]=dir[1]+vect2[1]+vect3[1];\\n vectors[j*resX+i][2]=dir[2]+vect2[2]+vect3[2];\\n vect2[0]-=x[0];\\n vect2[1]-=x[1];\\n vect2[2]-=x[2];\\n if((vectorLength(vect2)>(-0.0001)&&vectorLength(vect2)<0.0001)&&(resX%2)==0){\\n vect2[0]-=x[0];\\n vect2[1]-=x[1];\\n vect2[2]-=x[2];\\n }\\n }\\n //printVector(temp);\\n vect2[0]=temp[0];\\n vect2[1]=temp[1];\\n vect2[2]=temp[2];\\n vect3[0]-=y[0];\\n vect3[1]-=y[1];\\n vect3[2]-=y[2];\\n if((vectorLength(vect3)>(-0.0001)&&vectorLength(vect3)<0.0001)&&(resY%2)==0){\\n vect3[0]-=y[0];\\n vect3[1]-=y[1];\\n vect3[2]-=y[2];\\n }\\n }\\n \\n return vectors;\\n }\",\n \"private void updateLayers() {\\n AktieCubeLayer aktieCubeLayer;\\n AktieCubeShape[] shapes;\\n int i, j, k;\\n\\n // up layer\\n aktieCubeLayer = mAktieCubeLayers[kUp];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 0; i < 9; i++)\\n shapes[i] = mAktieCubes[mPermutation[i]];\\n\\n // down layer\\n aktieCubeLayer = mAktieCubeLayers[kDown];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 18, k = 0; i < 27; i++)\\n shapes[k++] = mAktieCubes[mPermutation[i]];\\n\\n // left layer\\n aktieCubeLayer = mAktieCubeLayers[kLeft];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 0, k = 0; i < 27; i += 9)\\n for (j = 0; j < 9; j += 3)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n\\n // right layer\\n aktieCubeLayer = mAktieCubeLayers[kRight];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 2, k = 0; i < 27; i += 9)\\n for (j = 0; j < 9; j += 3)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n\\n // front layer\\n aktieCubeLayer = mAktieCubeLayers[kFront];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 6, k = 0; i < 27; i += 9)\\n for (j = 0; j < 3; j++)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n\\n // back layer\\n aktieCubeLayer = mAktieCubeLayers[kBack];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 0, k = 0; i < 27; i += 9)\\n for (j = 0; j < 3; j++)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n\\n // middle layer\\n aktieCubeLayer = mAktieCubeLayers[kMiddle];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 1, k = 0; i < 27; i += 9)\\n for (j = 0; j < 9; j += 3)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n\\n // equator layer\\n aktieCubeLayer = mAktieCubeLayers[kEquator];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 9, k = 0; i < 18; i++)\\n shapes[k++] = mAktieCubes[mPermutation[i]];\\n\\n // side layer\\n aktieCubeLayer = mAktieCubeLayers[kSide];\\n shapes = aktieCubeLayer.mShapes;\\n for (i = 3, k = 0; i < 27; i += 9)\\n for (j = 0; j < 3; j++)\\n shapes[k++] = mAktieCubes[mPermutation[i + j]];\\n }\",\n \"static Vector4d computePlane(Vector3d a, Vector3d b, Vector3d c)\\n\\t{\\n\\t\\tVector4d plane = new Vector4d();\\n\\t\\t\\n\\t\\tVector3d ab = new Vector3d();\\n\\t\\tab.sub(b, a);\\n\\t\\t\\n\\t\\tVector3d ac = new Vector3d();\\n\\t\\tac.sub(c, a);\\n\\t\\t\\n\\t\\tVector3d n = new Vector3d();\\n\\t\\tn.cross(ab, ac);\\n\\t\\tn.normalize();\\n\\t\\t\\n\\t\\tplane.set(n);\\n\\t\\tplane.w = - a.dot(n);\\n\\t\\t\\n\\t\\treturn plane;\\n\\t}\",\n \"private void renderSkybox(int p_73971_1_, int p_73971_2_, float p_73971_3_) {\\n\\t\\tthis.mc.getFramebuffer().unbindFramebuffer();\\n\\t\\tGlStateManager.viewport(0, 0, 256, 256);\\n\\t\\tthis.drawPanorama(p_73971_1_, p_73971_2_, p_73971_3_);\\n\\t\\tthis.rotateSkybox();\\n\\t\\tthis.mc.getFramebuffer().bindFramebuffer(true);\\n\\t\\tGlStateManager.viewport(0, 0, this.mc.displayWidth, this.mc.displayHeight);\\n\\t\\tTessellator var4 = Tessellator.getInstance();\\n\\t\\tWorldRenderer var5 = var4.getWorldRenderer();\\n\\t\\tvar5.startDrawingQuads();\\n\\t\\tfloat var6 = this.width > this.height ? 120.0F / (float) this.width : 120.0F / (float) this.height;\\n\\t\\tfloat var7 = (float) this.height * var6 / 256.0F;\\n\\t\\tfloat var8 = (float) this.width * var6 / 256.0F;\\n\\t\\tvar5.func_178960_a(1.0F, 1.0F, 1.0F, 1.0F);\\n\\t\\tint var9 = this.width;\\n\\t\\tint var10 = this.height;\\n\\t\\tvar5.addVertexWithUV(0.0D, (double) var10, (double) this.zLevel, (double) (0.5F - var7),\\n\\t\\t\\t\\t(double) (0.5F + var8));\\n\\t\\tvar5.addVertexWithUV((double) var9, (double) var10, (double) this.zLevel, (double) (0.5F - var7),\\n\\t\\t\\t\\t(double) (0.5F - var8));\\n\\t\\tvar5.addVertexWithUV((double) var9, 0.0D, (double) this.zLevel, (double) (0.5F + var7), (double) (0.5F - var8));\\n\\t\\tvar5.addVertexWithUV(0.0D, 0.0D, (double) this.zLevel, (double) (0.5F + var7), (double) (0.5F + var8));\\n\\t\\tvar4.draw();\\n\\t}\",\n \"public List<PlanPrepago> mostrarPlanesPre()\\n\\t{\\n\\t\\tString r = new String();\\n\\t\\t\\n\\t\\tPlan p;\\n\\t\\tif (planes != null)\\n\\t\\t{\\n\\t\\t\\tr = r.concat(\\\"#PLANES PREPAGO\\\\n\\\" + \\\"#Nombre ------ ValorMinuto\\\\n\\\");\\n\\t\\t\\tListIterator<Plan> it = planes.listIterator(0);\\n\\t\\t\\tList<PlanPrepago> li = new ArrayList<PlanPrepago>();\\n\\t\\t\\twhile(it.hasNext())\\n\\t\\t\\t{\\n\\t\\t\\t\\tp = it.next();\\n\\t\\t\\t\\tif(p instanceof PlanPrepago)\\n\\t\\t\\t\\t\\tli.add((PlanPrepago)p);\\n\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tCollections.sort(li, new CompararNombresPlan());\\n\\t\\t\\treturn li;\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\t}\",\n \"protected void computeGridParameters() {\\n float padding = 0.02f * overlay.getScalingValue();\\n boolean flipX = x2 < x1;\\n float xx1 = flipX ? (x1 + padding) : (x1 - padding);\\n float xx2 = flipX ? (x2 - padding) : (x2 + padding);\\n boolean flipY = y2 < y1;\\n float yy1 = flipY ? (y1 + padding) : (y1 - padding);\\n float yy2 = flipY ? (y2 - padding) : (y2 + padding);\\n \\n xGrid1 = xx1; yGrid1 = yy1;\\n xGrid2 = xx2; yGrid2 = yy1;\\n xGrid3 = xx1; yGrid3 = yy2;\\n xGrid4 = xx2; yGrid4 = yy2;\\n horizGridCount = 3; vertGridCount = 3;\\n }\",\n \"public void init() {\\n float xoff = 0;\\n for (int i = 0; i < cols; i++) {\\n float yoff = 0;\\n for (int j = 0; j < rows; j++) {\\n // Use perlin noise to get an angle between 0 and 2 PI\\n float theta = map(noise(xoff,yoff),0,1,0,TWO_PI);\\n // Polar to cartesian coordinate transformation to get x and y components of the vector\\n field[i][j] = new PVector(cos(theta),sin(theta));\\n yoff += 0.1f;\\n }\\n xoff += 0.1f;\\n }\\n }\",\n \"private void prepare()\\n {\\n AmbulanceToLeft ambulanceToLeft = new AmbulanceToLeft();\\n addObject(ambulanceToLeft,717,579);\\n Car2ToLeft car2ToLeft = new Car2ToLeft();\\n addObject(car2ToLeft,291,579);\\n Car3 car3 = new Car3();\\n addObject(car3,45,502);\\n CarToLeft carToLeft = new CarToLeft();\\n addObject(carToLeft,710,262);\\n Car car = new Car();\\n addObject(car,37,190);\\n AmbulanceToLeft ambulanceToLeft2 = new AmbulanceToLeft();\\n addObject(ambulanceToLeft2,161,264);\\n }\",\n \"public List<Plan> getPlanes() {\\n\\t\\treturn planes;\\n\\t}\",\n \"protected void engineReset()\\r\\n/* 79: */ {\\r\\n/* 80:143 */ this.V00 = IV[0];\\r\\n/* 81:144 */ this.V01 = IV[1];\\r\\n/* 82:145 */ this.V02 = IV[2];\\r\\n/* 83:146 */ this.V03 = IV[3];\\r\\n/* 84:147 */ this.V04 = IV[4];\\r\\n/* 85:148 */ this.V05 = IV[5];\\r\\n/* 86:149 */ this.V06 = IV[6];\\r\\n/* 87:150 */ this.V07 = IV[7];\\r\\n/* 88:151 */ this.V10 = IV[8];\\r\\n/* 89:152 */ this.V11 = IV[9];\\r\\n/* 90:153 */ this.V12 = IV[10];\\r\\n/* 91:154 */ this.V13 = IV[11];\\r\\n/* 92:155 */ this.V14 = IV[12];\\r\\n/* 93:156 */ this.V15 = IV[13];\\r\\n/* 94:157 */ this.V16 = IV[14];\\r\\n/* 95:158 */ this.V17 = IV[15];\\r\\n/* 96:159 */ this.V20 = IV[16];\\r\\n/* 97:160 */ this.V21 = IV[17];\\r\\n/* 98:161 */ this.V22 = IV[18];\\r\\n/* 99:162 */ this.V23 = IV[19];\\r\\n/* 100:163 */ this.V24 = IV[20];\\r\\n/* 101:164 */ this.V25 = IV[21];\\r\\n/* 102:165 */ this.V26 = IV[22];\\r\\n/* 103:166 */ this.V27 = IV[23];\\r\\n/* 104: */ }\",\n \"public void setupCamera() {\\r\\n p.camera(width/2.0f, height/2.0f, cameraZ,\\r\\n width/2.0f, height/2.0f, 0, 0, 1, 0);\\r\\n\\r\\n if(isTiling) {\\r\\n float mod=1f/10f;\\r\\n p.frustum(width*((float)tileX/(float)tileNum-.5f)*mod,\\r\\n width*((tileX+1)/(float)tileNum-.5f)*mod,\\r\\n height*((float)tileY/(float)tileNum-.5f)*mod,\\r\\n height*((tileY+1)/(float)tileNum-.5f)*mod,\\r\\n cameraZ*mod, 10000);\\r\\n }\\r\\n\\r\\n }\",\n \"private void aretes_aO(){\\n\\t\\tthis.cube[40] = this.cube[7]; \\n\\t\\tthis.cube[7] = this.cube[25];\\n\\t\\tthis.cube[25] = this.cube[46];\\n\\t\\tthis.cube[46] = this.cube[34];\\n\\t\\tthis.cube[34] = this.cube[40];\\n\\t}\",\n \"@Override // com.android.server.wm.WindowContainer\\n public void prepareSurfaces() {\\n Trace.traceBegin(32, \\\"prepareSurfaces\\\");\\n try {\\n ScreenRotationAnimation screenRotationAnimation = this.mWmService.mAnimator.getScreenRotationAnimationLocked(this.mDisplayId);\\n SurfaceControl.Transaction transaction = getPendingTransaction();\\n if (this.mIsFisrtLazyMode && this.mSingleHandContentEx != null) {\\n this.mSingleHandContentEx.handleSingleHandMode(transaction, this.mWindowingLayer, this.mHwSingleHandOverlayLayer);\\n this.mIsFisrtLazyMode = false;\\n }\\n if (screenRotationAnimation != null && screenRotationAnimation.isAnimating()) {\\n screenRotationAnimation.getEnterTransformation().getMatrix().getValues(this.mTmpFloats);\\n if (this.mWmService.mHwWMSEx.isNeedLandAni() && this.mDisplayId == 0) {\\n resetMatrixValues(this.mTmpFloats);\\n }\\n float tmpScale = this.mWmService.getLazyMode() != 0 ? 0.75f : 1.0f;\\n transaction.setMatrix(this.mWindowingLayer, this.mTmpFloats[0] * tmpScale, this.mTmpFloats[3], this.mTmpFloats[1], this.mTmpFloats[4] * tmpScale);\\n if (this.mWmService.getLazyMode() != 0) {\\n Point origin = this.mWmService.getOriginPointForLazyMode(0.75f, this.mWmService.getLazyMode());\\n transaction.setPosition(this.mWindowingLayer, (float) origin.x, (float) origin.y);\\n } else {\\n transaction.setPosition(this.mWindowingLayer, this.mTmpFloats[2], this.mTmpFloats[5]);\\n }\\n transaction.setAlpha(this.mWindowingLayer, screenRotationAnimation.getEnterTransformation().getAlpha());\\n if (this.mWmService.mHwWMSEx.isNeedLandAni() && this.mDisplayId == 0) {\\n transaction.setAlpha(this.mWindowingLayer, 1.0f);\\n this.mWmService.mHwWMSEx.applyLandOpenAnimation();\\n }\\n }\\n for (int i = this.mTaskStackContainers.getChildCount() - 1; i >= 0; i--) {\\n TaskStack stack = (TaskStack) this.mTaskStackContainers.getChildAt(i);\\n stack.updateSurfacePosition();\\n stack.updateSurfaceSize(stack.getPendingTransaction());\\n }\\n super.prepareSurfaces();\\n SurfaceControl.mergeToGlobalTransaction(transaction);\\n } finally {\\n Trace.traceEnd(32);\\n }\\n }\",\n \"long getPlaneSize();\",\n \"private void init() {\\r\\n\\t\\tx = (float) (Math.random() * 2 - 1);\\r\\n\\t\\ty = (float) (Math.random() * 2 - 1);\\r\\n\\t\\tz[0] = (float) (Math.random() * 3f);\\r\\n\\t\\tz[1] = z[0];\\r\\n\\t}\",\n \"public void prepareModel() {\\n //Since many models have different scale amplitudes, we calculate a uniform scale factor for the model\\n setScaleFactor();\\n //Since the 3ds file does not provide normal values, we must calculate them ourselves\\n calculateNormals();\\n //Finally we need to setup the buffers for drawing\\n setupBuffers();\\n }\",\n \"public Plane3(Plane3 p) {\\n this.a = p.a; this.b = p.b; this.c = p.c; this.v = p.v; this.d = p.d;\\n }\",\n \"static public void init() {\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\tfor(int i=MeshFrame.HEIGHT; i>=HeightScale;i-=HeightScale){\\r\\n\\t\\t\\tGL11.glBegin(GL11.GL_TRIANGLE_STRIP);\\r\\n\\t\\t\\tfor (int j = 0; j <= MeshFrame.WIDTH; j+=WidthScale) {\\r\\n\\t\\t\\t\\tGL11.glVertex3f(j, i, 0);\\r\\n\\t\\t\\t\\tGL11.glVertex3f(j, i-HeightScale, 0);\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tGL11.glEnd();\\r\\n\\t\\t\\t\\r\\n\\t\\t}\\t\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"public Surface(int var1, int var2, int var3, Component var4) {\\n super();\\n this.interlace = false;\\n this.loggedIn = false;\\n this.field_731 = var4;\\n this.field_744 = var2;\\n this.field_746 = var1;\\n this.field_726 = this.field_723 = var1;\\n this.field_727 = this.field_724 = var2;\\n this.field_725 = var1 * var2;\\n this.pixels = new int[var1 * var2];\\n this.spritePixels = new int[var3][];\\n this.field_742 = new boolean[var3];\\n this.spriteColoursUsed = new byte[var3][];\\n this.spriteColourList = new int[var3][];\\n this.field_736 = new int[var3];\\n this.field_737 = new int[var3];\\n this.spriteWidthFull = new int[var3];\\n this.field_741 = new int[var3];\\n this.field_738 = new int[var3];\\n this.field_739 = new int[var3];\\n if(var1 > 1 && var2 > 1 && var4 != null) {\\n this.field_728 = new DirectColorModel(32, 16711680, '\\\\uff00', 255);\\n int var5 = this.field_723 * this.field_724;\\n int var6 = 0;\\n if(field_759 || var6 < var5) {\\n do {\\n this.pixels[var6] = 0;\\n ++var6;\\n } while(var6 < var5);\\n }\\n\\n this.field_732 = var4.createImage(this);\\n this.method_219();\\n var4.prepareImage(this.field_732, var4);\\n this.method_219();\\n var4.prepareImage(this.field_732, var4);\\n this.method_219();\\n var4.prepareImage(this.field_732, var4);\\n }\\n\\n }\",\n \"boolean hasPlaneValue();\",\n \"void setupPointScaleFree() {\\n\\t\\tbeginOffsetP.set(P);\\n\\n\\t\\tleftOppositeLine = neighborOppositeLinesFromPoint(selectedPoint)[0];\\n\\t\\trightOppositeLine = neighborOppositeLinesFromPoint(selectedPoint)[1];\\n\\t\\tleftOppositeLine.resetLockPoints(P);\\n\\t\\trightOppositeLine.resetLockPoints(P);\\n\\t\\tbeginP.set(P);\\n\\t\\tbeginOffsetP.set(P);\\n\\n\\t\\tbeginOffset.set(P); // lock the beginning position of the\\n\\t\\t\\t\\t\\t\\t\\t// offset vector\\n\\t\\tbeginOffsetP.set(point[selectedPoint].position); // lock the beginning\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// of the vector to\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// be transformed\\n\\n\\t\\tleftOppositeLine.isOnThisSideOfLine = leftOppositeLine.checkLineSide(P); // check\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// on\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// which\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// side\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// of\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// the\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// mirror\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// we\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// are\\n\\t\\trightOppositeLine.isOnThisSideOfLine = rightOppositeLine.checkLineSide(P);\\n\\t}\",\n \"private void arretes_fB(){\\n\\t\\tthis.cube[22] = this.cube[19]; \\n\\t\\tthis.cube[19] = this.cube[21];\\n\\t\\tthis.cube[21] = this.cube[25];\\n\\t\\tthis.cube[25] = this.cube[23];\\n\\t\\tthis.cube[23] = this.cube[22];\\n\\t}\",\n \"@Test\\n public void Constructor_test() \\n {\\n // ============ Equivalence Partitions Tests ==============\\n\\n // TC01: creating the Plane: x + y + z = 1 with the constructor\\n\\t // that get 3 Point3D that contain in the Plane\\n try \\n {\\n new Plane(new Point3D(1,0,0), new Point3D(0,1,0), new Point3D(0,0,1));\\n } \\n catch (IllegalArgumentException e) \\n {\\n fail(\\\"Failed constructing a correct Plane\\\");\\n }\\n \\n // TC02: creating the Plane: x + y + z = 1 with the constructor\\n \\t // that get Point3D that contain in the Plane and Vector- the normal of the Plane.\\n try \\n {\\n new Plane(new Point3D(1,0,0), new Vector(1,1,1));\\n } \\n catch (IllegalArgumentException e) \\n {\\n fail(\\\"Failed constructing a correct Plane\\\");\\n }\\n \\n // =============== Boundary Values Tests ==================\\n \\n // TC03: creating the Plane: z = 0 with the constructor\\n \\t // that get 3 Point3D that contain in the Plane\\n try \\n {\\n new Plane(new Point3D(1,0,0), new Point3D(0,1,0), new Point3D(2,3,0));\\n } \\n catch (IllegalArgumentException e) \\n {\\n fail(\\\"Failed constructing a correct Plane\\\");\\n }\\n \\n // TC04: creating the Plane: x + y + z = 1 with the constructor\\n \\t // that get Point3D that contain in the Plane and Vector- the normal of the Plane.\\n try \\n {\\n new Plane(new Point3D(1,0,0), new Vector(0,0,1));\\n } \\n catch (IllegalArgumentException e) \\n {\\n fail(\\\"Failed constructing a correct Plane\\\");\\n }\\n }\",\n \"public PaperAirplane (int x, int y)\\n\\t{\\n\\t\\tsuper (x, y);\\t//Superclass called to set x and y\\n\\t\\t\\n\\t\\txPoints = new int [3];\\t//sets xPoints to have 3 elements\\n\\t\\tyPoints = new int [3];\\t//sets yPoints to have 3 elements\\n\\t\\t\\n\\t\\t//Using the getX_Pos () set in the superclass, the following sets the\\n\\t\\t//xDimensions.\\n\\t\\txDimension1 = getX_Pos () - 23;\\n\\t\\txDimension2 = getX_Pos () - 18;\\n\\t\\txDimension3 = getX_Pos () + 22;\\n\\t\\t\\n\\t\\t//Using the getY_Pos () set in the superclass, the following sets the\\n\\t\\t//yDimensions.\\n\\t\\tyDimension1 = getY_Pos() - 2;\\n\\t\\tyDimension2 = getY_Pos() - 17;\\n\\t\\tyDimension3 = getY_Pos() + 5;\\n\\t\\t\\n\\t\\t//The following sets the same dimensions from above, but these never\\n\\t\\t//change and can be used for reconstruction\\n\\t\\trXD1 = getX_Pos () - 23;\\n\\t\\trXD2 = getX_Pos () - 18;\\n\\t\\trXD3 = getX_Pos () + 22;\\n\\t\\trYD1 = getY_Pos() - 2;\\n\\t\\trYD2 = getY_Pos() - 17;\\n\\t\\trYD3 = getY_Pos() + 5;\\n\\t}\",\n \"private void applyPresets() {\\n applyAutoTrigger(AUTO_TRIGGER_PRESET.load(mPresetDict));\\n applyPreferredTarget(PREFERRED_TARGET_PRESET.load(mPresetDict));\\n applyEndingBehavior(ENDING_BEHAVIOR_PRESET.load(mPresetDict));\\n applyAutoStartOnDisconnectDelay(AUTOSTART_ON_DISCONNECT_DELAY_PRESET.load(mPresetDict));\\n applyEndingHoveringAltitude(ENDING_HOVERING_ALTITUDE_PRESET.load(mPresetDict));\\n applyMinAltitude(MIN_ALTITUDE_PRESET.load(mPresetDict));\\n }\",\n \"private HyperplaneSubsets() {\\n }\",\n \"protected void reInitialize() {\\n leftSpeed = 0;\\n rightSpeed = 0;\\n leftPosition = 0;\\n rightPosition = 0;\\n }\",\n \"public void reconstruct ()\\n\\t{\\n\\t\\tsuper.reconstruct ();\\t//calls the superclass's reconstruct method\\n\\t\\txDimension1 = rXD1;\\n\\t\\txDimension2 = rXD2;\\n\\t\\txDimension3 = rXD3;\\n\\t\\t\\n\\t\\tyDimension1 = rYD1;\\n\\t\\tyDimension2 = rYD2;\\n\\t\\tyDimension3 = rYD3;\\n\\t\\t\\n\\t\\tturnInt = 0;\\n\\t}\",\n \"private void drawPanorama(int p_73970_1_, int p_73970_2_, float p_73970_3_) {\\n\\t\\tTessellator var4 = Tessellator.getInstance();\\n\\t\\tWorldRenderer var5 = var4.getWorldRenderer();\\n\\t\\tGlStateManager.matrixMode(5889);\\n\\t\\tGlStateManager.pushMatrix();\\n\\t\\tGlStateManager.loadIdentity();\\n\\t\\tProject.gluPerspective(120.0F, 1.0F, 0.05F, 10.0F);\\n\\t\\tGlStateManager.matrixMode(5888);\\n\\t\\tGlStateManager.pushMatrix();\\n\\t\\tGlStateManager.loadIdentity();\\n\\t\\tGlStateManager.color(1.0F, 1.0F, 1.0F, 1.0F);\\n\\t\\tGlStateManager.rotate(180.0F, 1.0F, 0.0F, 0.0F);\\n\\t\\tGlStateManager.rotate(90.0F, 0.0F, 0.0F, 1.0F);\\n\\t\\tGlStateManager.enableBlend();\\n\\t\\tGlStateManager.disableAlpha();\\n\\t\\tGlStateManager.disableCull();\\n\\t\\tGlStateManager.depthMask(false);\\n\\t\\tGlStateManager.tryBlendFuncSeparate(770, 771, 1, 0);\\n\\t\\tbyte var6 = 8;\\n\\n\\t\\tfor (int var7 = 0; var7 < var6 * var6; ++var7) {\\n\\t\\t\\tGlStateManager.pushMatrix();\\n\\t\\t\\tfloat var8 = ((float) (var7 % var6) / (float) var6 - 0.5F) / 64.0F;\\n\\t\\t\\tfloat var9 = ((float) (var7 / var6) / (float) var6 - 0.5F) / 64.0F;\\n\\t\\t\\tfloat var10 = 0.0F;\\n\\t\\t\\tGlStateManager.translate(var8, var9, var10);\\n\\t\\t\\tGlStateManager.rotate(MathHelper.sin(((float) this.panoramaTimer + p_73970_3_) / 30.0F) * 25.0F + 20.0F,\\n\\t\\t\\t\\t\\t1.0F, 0.0F, 0.0F);\\n\\t\\t\\tGlStateManager.rotate(-((float) this.panoramaTimer + p_73970_3_) * -1.3F, 0.0F, 1.0F, 0.0F);\\n\\n\\t\\t\\tfor (int var11 = 0; var11 < 6; ++var11) {\\n\\t\\t\\t\\tGlStateManager.pushMatrix();\\n\\n\\t\\t\\t\\tif (var11 == 1) {\\n\\t\\t\\t\\t\\tGlStateManager.rotate(90.0F, 0.0F, 1.0F, 0.0F);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (var11 == 2) {\\n\\t\\t\\t\\t\\tGlStateManager.rotate(180.0F, 0.0F, 1.0F, 0.0F);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (var11 == 3) {\\n\\t\\t\\t\\t\\tGlStateManager.rotate(-90.0F, 0.0F, 1.0F, 0.0F);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (var11 == 4) {\\n\\t\\t\\t\\t\\tGlStateManager.rotate(90.0F, 1.0F, 0.0F, 0.0F);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (var11 == 5) {\\n\\t\\t\\t\\t\\tGlStateManager.rotate(-90.0F, 1.0F, 0.0F, 0.0F);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tthis.mc.getTextureManager().bindTexture(titlePanoramaPaths[var11]);\\n\\t\\t\\t\\tvar5.startDrawingQuads();\\n\\t\\t\\t\\tvar5.func_178974_a(16777215, 255 / (var7 + 1));\\n\\t\\t\\t\\tfloat var12 = 0.0F;\\n\\t\\t\\t\\tvar5.addVertexWithUV(-1.0D, -1.0D, 1.0D, (double) (0.0F + var12), (double) (0.0F + var12));\\n\\t\\t\\t\\tvar5.addVertexWithUV(1.0D, -1.0D, 1.0D, (double) (1.0F - var12), (double) (0.0F + var12));\\n\\t\\t\\t\\tvar5.addVertexWithUV(1.0D, 1.0D, 1.0D, (double) (1.0F - var12), (double) (1.0F - var12));\\n\\t\\t\\t\\tvar5.addVertexWithUV(-1.0D, 1.0D, 1.0D, (double) (0.0F + var12), (double) (1.0F - var12));\\n\\t\\t\\t\\tvar4.draw();\\n\\t\\t\\t\\tGlStateManager.popMatrix();\\n\\t\\t\\t}\\n\\n\\t\\t\\tGlStateManager.popMatrix();\\n\\t\\t\\tGlStateManager.colorMask(true, true, true, false);\\n\\t\\t}\\n\\n\\t\\tvar5.setTranslation(0.0D, 0.0D, 0.0D);\\n\\t\\tGlStateManager.colorMask(true, true, true, true);\\n\\t\\tGlStateManager.matrixMode(5889);\\n\\t\\tGlStateManager.popMatrix();\\n\\t\\tGlStateManager.matrixMode(5888);\\n\\t\\tGlStateManager.popMatrix();\\n\\t\\tGlStateManager.depthMask(true);\\n\\t\\tGlStateManager.enableCull();\\n\\t\\tGlStateManager.enableDepth();\\n\\t}\",\n \"@Override\\n protected void onStart() {\\n camera_ = getCameraInstance();\\n Parameters params;\\n\\n if (camera_ != null) {\\n params = camera_.getParameters();\\n params.setPreviewFormat(ImageFormat.NV21);\\n getSmallestPreviewSize(params);\\n params.setPreviewSize(width_, height_);\\n //params.setFlashMode(Parameters.FLASH_MODE_TORCH);\\n params.setWhiteBalance(Parameters.WHITE_BALANCE_AUTO);\\n camera_.setParameters(params);\\n\\n frame_ = new RGB[width_ * height_];\\n for (int i = 0; i < frame_.length; ++i) {\\n frame_[i] = new RGB();\\n }\\n\\n camera_.setPreviewCallback(new PreviewCallback() {\\n @Override\\n public void onPreviewFrame(byte[] data, Camera camera) {\\n synchronized (frame_) {\\n decodeYUV420SP(frame_, data, width_, height_);\\n }\\n }\\n });\\n SurfaceTexture texture_ = new SurfaceTexture(0);\\n try {\\n camera_.setPreviewTexture(texture_);\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n camera_.startPreview();\\n }\\n\\n super.onStart();\\n }\",\n \"private void aretes_aB(){\\n\\t\\tthis.cube[22] = this.cube[12]; \\n\\t\\tthis.cube[12] = this.cube[48];\\n\\t\\tthis.cube[48] = this.cube[39];\\n\\t\\tthis.cube[39] = this.cube[3];\\n\\t\\tthis.cube[3] = this.cube[22];\\n\\t}\",\n \"public abstract ParamNumber getParamZ();\",\n \"public void setPlanesLanded(int planesLanded) {\\r\\n this.planesLanded = planesLanded;\\r\\n }\",\n \"public void compile() {\\n\\t\\tdouble zn = params.getZn();\\n\\t\\tdouble zf = params.getZf();\\n\\t\\tdouble sw = params.getSw();\\n\\t\\tdouble sh = params.getSh();\\n\\n\\t\\tdouble d[][] = { { 2 * zn / sw, 0, 0, 0 }, { 0, 2 * zn / sh, 0, 0 },\\n\\t\\t\\t\\t{ 0, 0, zf / (zf - zn), -zn * zf / (zf - zn) }, { 0, 0, 1, 0 } };\\n\\t\\tTransformation proj = new Transformation(d);\\n\\t\\tmk = proj.mult(VCS);\\n\\t\\tsetChanged();\\n\\t\\tnotifyObservers();\\n\\t}\",\n \"void createPlanetSurface(int width, int height) {\\r\\n\\t\\trenderer.surface = new PlanetSurface();\\r\\n\\t\\trenderer.surface.width = width;\\r\\n\\t\\trenderer.surface.height = height;\\r\\n\\t\\trenderer.surface.computeRenderingLocations();\\r\\n\\t\\tui.allocationPanel.buildings = renderer.surface.buildings;\\r\\n\\t}\",\n \"Obj(double x1, double y1, double z1, double x2, double y2, double z2, double x3, double y3, double z3){\\t// CAMBIAR LAS COORDENADAS X,Y,Z CON 0,1 PARA CONSTRUIR PRISMA, CILINDRO, PIRAMIDE, CONO Y ESFERA.\\n w\\t= new Point3D[4];\\n\\tvScr\\t= new Point2D[4];\\n \\n w[0]\\t= new Point3D(0, 0, 0); // desde la base\\n\\tw[1]\\t= new Point3D(x1, y1, z1);\\n\\tw[2]\\t= new Point3D(x2, y2, z2);\\n\\tw[3]\\t= new Point3D(x3, y3, z3);\\n \\n\\tobjSize = (float) Math.sqrt(12F); \\n rho\\t= 5 * objSize;\\n }\",\n \"private void setInititalValues() {\\n drone.setTranslateX(INITIAL_X_POSITION);\\n drone.setTranslateY(INITIAL_Y_POSITION);\\n drone.setTranslateZ(INITIAL_Z_POSITION);\\n\\n // set initial orientation to z-axis (into the screen)\\n setxOrientation(0);\\n setyOrientation(0);\\n setzOrientation(1);\\n setYawAngle(0);\\n setRollAngle(0);\\n setPitchAngle(0);\\n setSpeed(TelloDefaultValues.DEFAULT_SPEED);\\n }\",\n \"void restoreAfter() {\\r\\n\\t\\t\\tsurface.basemap.clear();\\r\\n\\t\\t\\tsurface.basemap.putAll(basemapAfter);\\r\\n\\t\\t\\tsurface.buildingmap.clear();\\r\\n\\t\\t\\tsurface.buildingmap.putAll(buildingmapAfter);\\r\\n\\t\\t\\tsurface.features.clear();\\r\\n\\t\\t\\tsurface.features.addAll(surfaceAfter);\\r\\n\\t\\t\\tsurface.buildings.clear();\\r\\n\\t\\t\\tsurface.buildings.addAll(buildingsAfter);\\r\\n\\t\\t}\",\n \"public synchronized void mo21884z() {\\n if (!this.f24512O) {\\n this.f24512O = true;\\n }\\n }\",\n \"public void updateFlags(int fromx, int tox, int fromy, int toy, int fromz, int toz)\\n {\\n VoxelOctree voxels = obj.getVoxels();\\n if (width != voxels.getWidth()-1)\\n {\\n initialize();\\n return;\\n }\\n findBounds();\\n byte cornerValues[] = new byte[8];\\n if (fromx < 0)\\n fromx = 0;\\n if (fromy < 0)\\n fromy = 0;\\n if (fromz < 0)\\n fromz = 0;\\n if (tox >= width)\\n tox = width-1;\\n if (toy >= width)\\n toy = width-1;\\n if (toz >= width)\\n toz = width-1;\\n int ysize = toy-fromy+3;\\n int zsize = toz-fromz+3;\\n\\n // Look up the values for the x==fromx plane.\\n\\n byte values[][] = new byte[2][ysize*zsize];\\n for (int j = 0; j < ysize; j++)\\n for (int k = 0; k < zsize; k++)\\n values[0][j*zsize+k] = voxels.getValue(fromx, j+fromy, k+fromz);\\n for (int i = fromx; i <= tox; i++)\\n {\\n // Look up the values for the next plane.\\n\\n for (int j = 0; j < ysize; j++)\\n for (int k = 0; k < zsize; k++)\\n values[1][j*zsize+k] = voxels.getValue(i+1, j+fromy, k+fromz);\\n for (int j = fromy; j <= toy; j++)\\n {\\n for (int k = fromz; k <= toz; k++)\\n {\\n int numBelow = 0;\\n int numZero = 0;\\n for (int corner = 0; corner < 8; corner++)\\n {\\n // Record the values at the four corners of this cell, and see how many are outside.\\n\\n cornerValues[corner] = values[vertexOffset[corner][0]][(j-fromy+vertexOffset[corner][1])*zsize+k-fromz+vertexOffset[corner][2]];\\n if (cornerValues[corner] < 0)\\n numBelow++;\\n else if (cornerValues[corner] == 0)\\n numZero++;\\n }\\n int index = i*width*width+j*width+k;\\n if ((numBelow != 0 && numBelow != 8) || numZero > 0)\\n flags[index/32] |= 1<<(index%32);\\n else\\n flags[index/32] &= 0xFFFFFFFF-(1<<(index%32));\\n }\\n }\\n\\n // Swap the value arrays so the values for x==i+1 will be in values[0].\\n\\n byte temp[] = values[0];\\n values[0] = values[1];\\n values[1] = temp;\\n }\\n }\",\n \"public double getPlaneX()\\n {\\n return planeX;\\n }\",\n \"private void aretes_aG(){\\n\\t\\tthis.cube[31] = this.cube[14]; \\n\\t\\tthis.cube[14] = this.cube[5];\\n\\t\\tthis.cube[5] = this.cube[41];\\n\\t\\tthis.cube[41] = this.cube[50];\\n\\t\\tthis.cube[50] = this.cube[31];\\n\\t}\",\n \"public Pj3dPlane Pj3dPlane(int x, int z)\\r\\n\\t{\\r\\n \\tPj3dPlane plane = new Pj3dPlane(this, x, z);\\r\\n\\t\\treturn plane;\\r\\n\\t}\",\n \"protected void setupImpl()\\n {\\n hint(DISABLE_DEPTH_TEST);\\n font = loadFont(\\\"Futura-CondensedExtraBold-200.vlw\\\");\\n textFont(font, 200);\\n mode = 0;\\n\\n // Mode 3\\n w = width * 2;\\n dx = (TWO_PI / period) * xspacing;\\n yvalues = new float[w/xspacing];\\n\\n // Mode 5\\n mod = loadImage(\\\"mod.png\\\");\\n modSizes = new int[scaledBandLevels.length];\\n }\",\n \"public void setCamVertices(float x0, float y0, float z0,\\n float x1, float y1, float z1,\\n float x2, float y2, float z2) {\\n camX[0] = x0;\\n camX[1] = x1;\\n camX[2] = x2;\\n \\n camY[0] = y0;\\n camY[1] = y1;\\n camY[2] = y2;\\n \\n camZ[0] = z0;\\n camZ[1] = z1;\\n camZ[2] = z2;\\n }\",\n \"public Plane(double a, double b, double c, double d) {\\n this.a = a;\\n this.b = b;\\n this.c = c;\\n this.d = d;\\n }\",\n \"protected void initialize() {\\n\\t\\t// startAngle = drive.getAngle();\\n\\t\\tdrive.resetBothEncoders();\\n\\t\\tpLeft = speed;\\n\\t\\tpRight = speed;\\n\\t}\",\n \"PlaneSubset(final Plane plane) {\\n this.plane = plane;\\n }\",\n \"private void prepare()\\n {\\n Victoria victoria = new Victoria();\\n addObject(victoria,190,146);\\n Salir salir = new Salir();\\n addObject(salir,200,533);\\n Volver volver = new Volver();\\n addObject(volver,198,401);\\n }\",\n \"public void initZoneAreas() {\\n this.zoneList = new ArrayList<Node>();\\n this.zoneRoot = new Node(\\\"Zone Root\\\");\\n \\n Material mat = new Material(assetManager, \\\"Common/MatDefs/Misc/Unshaded.j3md\\\"); \\n mat.setColor(\\\"Color\\\", new ColorRGBA(0,1,1,0.5f));\\n mat.getAdditionalRenderState().setBlendMode(BlendMode.Alpha);\\n \\n Geometry zoneBox1 = new Geometry(\\\"Zone 1\\\",new Box(12,1,12));\\n Node zoneNode1 = new Node(\\\"Zone 1\\\");\\n zoneBox1.setMaterial(mat);\\n zoneBox1.setQueueBucket(Bucket.Transparent);\\n zoneNode1.attachChild(zoneBox1);\\n this.zoneList.add(zoneNode1);\\n this.zoneRoot.attachChild(zoneNode1);\\n \\n zoneNode1.setLocalTranslation(CubeToWorldVector(7.5f,0,47.5f));\\n \\n Geometry zoneBox2 = new Geometry(\\\"Zone 2\\\",new Box(18f,1,6));\\n Node zoneNode2 = new Node(\\\"Zone 2\\\");\\n zoneBox2.setMaterial(mat);\\n zoneBox2.setQueueBucket(Bucket.Transparent);\\n zoneNode2.attachChild(zoneBox2);\\n this.zoneList.add(zoneNode2);\\n this.zoneRoot.attachChild(zoneNode2);\\n \\n zoneNode2.setLocalTranslation(CubeToWorldVector(17.5f,0,47.5f));\\n \\n Geometry zoneBox2b = new Geometry(\\\"Zone 2b\\\",new Box(6f,1,6));\\n Node zoneNode2b = new Node(\\\"Zone 2b\\\");\\n zoneBox2b.setMaterial(mat);\\n zoneBox2b.setQueueBucket(Bucket.Transparent);\\n zoneNode2b.attachChild(zoneBox2b);\\n this.zoneList.add(zoneNode2b);\\n this.zoneRoot.attachChild(zoneNode2b);\\n \\n zoneNode2b.setLocalTranslation(CubeToWorldVector(21.5f,0,43.5f));\\n \\n Geometry zoneBox3 = new Geometry(\\\"Zone 3\\\",new Box(24f,1,22.5f));\\n Node zoneNode3 = new Node(\\\"Zone 3\\\");\\n zoneBox3.setMaterial(mat);\\n zoneBox3.setQueueBucket(Bucket.Transparent);\\n zoneNode3.attachChild(zoneBox3);\\n this.zoneList.add(zoneNode3);\\n this.zoneRoot.attachChild(zoneNode3);\\n \\n zoneNode3.setLocalTranslation(CubeToWorldVector(23.5f,0,34f));\\n \\n Geometry zoneBox4 = new Geometry(\\\"Zone 4\\\",new Box(9f,1,9f));\\n Node zoneNode4 = new Node(\\\"Zone 4\\\");\\n zoneBox4.setMaterial(mat);\\n zoneBox4.setQueueBucket(Bucket.Transparent);\\n zoneNode4.attachChild(zoneBox4);\\n this.zoneList.add(zoneNode4);\\n this.zoneRoot.attachChild(zoneNode4);\\n \\n zoneNode4.setLocalTranslation(CubeToWorldVector(12.5f,0,29.5f));\\n \\n Geometry zoneBox4b = new Geometry(\\\"Zone 4b\\\",new Box(9f,1,22.5f));\\n Node zoneNode4b = new Node(\\\"Zone 4b\\\");\\n zoneBox4b.setMaterial(mat);\\n zoneBox4b.setQueueBucket(Bucket.Transparent);\\n zoneNode4b.attachChild(zoneBox4b);\\n this.zoneList.add(zoneNode4b);\\n this.zoneRoot.attachChild(zoneNode4b);\\n \\n zoneNode4b.setLocalTranslation(CubeToWorldVector(6.5f,0,25f));\\n \\n Geometry zoneBox5 = new Geometry(\\\"Zone 5\\\",new Box(36f,1,18f));\\n Node zoneNode5 = new Node(\\\"Zone 5\\\");\\n zoneBox5.setMaterial(mat);\\n zoneBox5.setQueueBucket(Bucket.Transparent);\\n zoneNode5.attachChild(zoneBox5);\\n this.zoneList.add(zoneNode5);\\n this.zoneRoot.attachChild(zoneNode5);\\n \\n zoneNode5.setLocalTranslation(CubeToWorldVector(13.5f,0,11.5f));\\n rootNode.attachChild(this.zoneRoot);\\n }\",\n \"public void prepareObjetivos(){\\n\\t\\tfor( int x= 0 ; x < game.getAmountObjetivos();x++){\\n\\t\\t\\tObjetivo o = game.getObjetivo(x);\\n\\t\\t\\timage = o.getImage();\\n\\t\\t\\ttemporal = image.getImage().getScaledInstance(o.getAncho(), o.getAlto(), Image.SCALE_SMOOTH);\\n\\t\\t\\to.setImage(new ImageIcon(temporal));\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"public Plane[] getPlane_List() {\\r\\n\\t\\treturn Plane_List;\\r\\n\\t}\",\n \"private void CreateDecompression() {\\n int iteradorY = 0;\\n int iteradorarray = 0;\\n int fila = 0;\\n int columna = 0;\\n while (iteradorY < width / 8 * height / 8) {\\n int u = 1;\\n int k = 1;\\n double[][] Y = new double[8][8];\\n double[][] CB = new double[8][8];\\n double[][] CR = new double[8][8];\\n for (int element = 0; element < 64; ++element) {\\n Y[u - 1][k - 1] = (double) Ydes.get(iteradorarray);\\n CB[u - 1][k - 1] = (double) CBdes.get(iteradorarray);\\n CR[u - 1][k - 1] = (double) CRdes.get(iteradorarray);\\n if ((k + u) % 2 != 0) {\\n if (k < 8)\\n k++;\\n else\\n u += 2;\\n if (u > 1)\\n u--;\\n } else {\\n if (u < 8)\\n u++;\\n else\\n k += 2;\\n if (k > 1)\\n k--;\\n }\\n iteradorarray++;\\n }\\n ++iteradorY;\\n //DESQUANTIZAMOS\\n for (int m = 0; m < 8; ++m) {\\n for (int n = 0; n < 8; ++n) {\\n Y[m][n] = Y[m][n] * QtablesLuminance[quality][m][n];\\n CB[m][n] = CB[m][n] * QtablesChrominance[quality][m][n];\\n CR[m][n] = CR[m][n] * QtablesChrominance[quality][m][n];\\n }\\n }\\n //INVERSA DE LA DCT2\\n double[][] Ydct = dct3(Y);\\n double[][] CBdct = dct3(CB);\\n double[][] CRdct = dct3(CR);\\n\\n //SUMAR 128\\n for (int m = 0; m < 8; ++m) {\\n for (int n = 0; n < 8; ++n) {\\n Ydct[m][n] = Ydct[m][n] + 128;\\n CBdct[m][n] = CBdct[m][n] + 128;\\n CRdct[m][n] = CRdct[m][n] + 128;\\n int[] YCbCr = {(int) Ydct[m][n], (int) CBdct[m][n], (int) CRdct[m][n]};\\n int[] RGB = YCbCrtoRGB(YCbCr);\\n if (fila + m < height & columna + n < width) {\\n FinalR[fila + m][columna + n] = RGB[0];\\n FinalG[fila + m][columna + n] = RGB[1];\\n FinalB[fila + m][columna + n] = RGB[2];\\n }\\n }\\n }\\n if (columna + 8 < width) columna = columna + 8;\\n else {\\n fila = fila + 8;\\n columna = 0;\\n }\\n }\\n }\",\n \"private void createSwitches() {\\n \\t\\tswitches = new Point[4];\\n \\t\\tswitches[0] = new Point(centreMin, centreMin);\\n \\t\\tswitches[1] = new Point(centreMin, centreMax-1);\\n \\t\\tswitches[2] = new Point(centreMax-1, centreMin);\\n \\t\\tswitches[3] = new Point(centreMax-1, centreMax-1);\\n \\t}\",\n \"private void createLayers(boolean bl, int[] arrn) {\\n ILayer[] arriLayer = this.mLayers;\\n if (bl) {\\n for (int i = -1 + this.mLayerCount; i >= 0; --i) {\\n arriLayer[i] = new FixedCapacityLayer(arrn[i]);\\n }\\n return;\\n }\\n for (int i = -1 + this.mLayerCount; i >= 0; --i) {\\n arriLayer[i] = new DynamicCapacityLayer(arrn[i]);\\n }\\n }\",\n \"public static void main(String[] args) {\\n\\t\\tint x1=1, y1=1, z1=1;\\n\\t\\tint x2=8, y2=-7, z2=1;\\n\\t\\t//Points describing the plane\\n\\t\\tint x3=3, y3=9, z3=0;\\n\\t\\tint x4=-1, y4=3, z4=0;\\n\\t\\tint x5=4, y5=5, z5=0;\\n\\t\\t//No intersection with this co-ords\\n\\t\\tintersect(x1,y1,z1,x2,y2,z2,x3,y3,z3,x4,y4,z4,x5,y5,z5);\\n\\t}\",\n \"private final void resetIsosurfaceBoundary() {\\n \\tif (debug) System.out.print(\\\"fast marching evolution: iso-surface reinit\\\\n\\\");\\n\\n \\tfloat[] nbdist = new float[6];\\n \\tboolean[] nbflag = new boolean[6];\\n \\tboolean boundary;\\n \\tfloat[] tmp = new float[nx*ny*nz];\\n \\tboolean[] processed = new boolean[nx*ny*nz];\\n \\t\\n\\t\\tfor (int xyz = 0; xyz<nx*ny*nz; xyz++) if (mask[xyz]) {\\n\\t\\t\\t\\n\\t\\t\\tboundary = false;\\n\\t\\t\\tfor (int l=0; l<6; l++) {\\n\\t\\t\\t\\tnbdist[l] = UNKNOWN;\\n\\t\\t\\t\\tnbflag[l] = false;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tint xyznb = xyz + xoff[l] + yoff[l] + zoff[l];\\n\\t\\t\\t\\tif (segmentation[xyznb]!=segmentation[xyz] && mask[xyznb]) {\\n\\t\\t\\t\\t\\t// compute new distance based on processed neighbors for the same object\\n\\t\\t\\t\\t\\tnbdist[l] = Numerics.abs(mgdmfunctions[0][xyznb]);\\n\\t\\t\\t\\t\\tnbflag[l] = true;\\n\\t\\t\\t\\t\\tboundary = true;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tif (boundary) {\\n\\t\\t\\t\\ttmp[xyz] = isoSurfaceDistance(mgdmfunctions[0][xyz], nbdist, nbflag);\\n\\t\\t\\t\\tprocessed[xyz] = true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t// once all the new values are computed, copy into original GDM function (sign is not important here)\\n\\t\\tfor (int xyz = 0; xyz<nx*ny*nz; xyz++) {\\n\\t\\t\\tif (processed[xyz]) mgdmfunctions[0][xyz] = tmp[xyz];\\n\\t\\t\\telse mgdmfunctions[0][xyz] = UNKNOWN;\\n\\t\\t}\\n\\t\\t\\t\\n return;\\n }\",\n \"@java.lang.Override\\n public boolean hasPlaneValue() {\\n return typeCase_ == 10;\\n }\",\n \"private void process(ArrayList<Float> points) {\\n downsample(3, points);\\n vertices = new Vector3f[nrows * ncols];\\n texcoord = BufferUtils.createFloatBuffer(2 * nrows * ncols);\\n indexes = BufferUtils.createIntBuffer(6 * (nrows - 1) * (ncols - 1));\\n Vector3f[][][] fnormals = new Vector3f[nrows - 1][ncols - 1][2];\\n normals = new Vector3f[nrows * ncols];\\n float x, z;\\n\\n System.out.println(\\\"Processing \\\" + nrows + \\\"x\\\" + ncols + \\\" terrain...\\\");\\n\\n // First make vertices + texcoords\\n x = 0.0f;\\n for (int row = 0; row < nrows; row++) {\\n z = 0.0f;\\n for (int col = 0; col < ncols; col++) {\\n vertices[(row * ncols) + col] = new Vector3f(x, data[row][col], z);\\n texcoord.put(col / (float) ncols);\\n texcoord.put(row / (float) nrows);\\n z += cellsize;\\n }\\n x += cellsize;\\n }\\n // Indexes + face normals\\n System.out.println(\\\"Populating faces...\\\");\\n for (int row = 0; row < (nrows - 1); row++) {\\n for (int col = 0; col < (ncols - 1); col++) {\\n int base = 6 * ((row * (ncols - 1)) + col);\\n // Triangle 1\\n indexes.put((row * ncols) + col); // a\\n indexes.put((row * ncols) + col + 1); // b\\n indexes.put(((row + 1) * ncols) + col); // c\\n // Triangle 2\\n indexes.put(((row + 1) * ncols) + col); // c\\n indexes.put((row * ncols) + col + 1); // b\\n indexes.put(((row + 1) * ncols) + col + 1); // d\\n // Faces\\n base = (row * ncols) + col;\\n Vector3f a = vertices[base];\\n Vector3f b = vertices[base + 1];\\n Vector3f c = vertices[base + ncols];\\n Vector3f d = vertices[base + ncols + 1];\\n Vector3f ba = b.subtract(a);\\n Vector3f ca = c.subtract(a);\\n Vector3f bc = b.subtract(c);\\n Vector3f dc = d.subtract(c);\\n // ormal.subtractLocal(pointa).crossLocal(pointc.x - pointa.x,\\n // pointc.y - pointa.y, pointc.z - pointa.z);\\n fnormals[row][col][0] = ba.crossLocal(ca).normalizeLocal();\\n fnormals[row][col][1] = bc.crossLocal(dc).normalizeLocal();\\n // Triangle ta = new Triangle(a,b,c);\\n // Triangle tb = new Triangle(c,b,d);\\n }\\n }\\n System.out.println(\\\"Calculating face normals...\\\");\\n // Vector normals\\n Vector3f t;\\n // Corners\\n // TL\\n t = fnormals[0][0][0].add(fnormals[0][0][1]);\\n t.normalizeLocal();\\n normals[0] = t;\\n // TR\\n t = fnormals[0][ncols - 2][0].add(fnormals[0][ncols - 2][1]);\\n t.normalizeLocal();\\n normals[ncols - 1] = t;\\n // BL\\n t = fnormals[nrows - 2][0][0].add(fnormals[nrows - 2][0][1]);\\n t.normalizeLocal();\\n normals[(nrows - 1) * ncols] = t;\\n // BR\\n t = fnormals[nrows - 2][ncols - 2][0].add(fnormals[nrows - 2][ncols - 2][1]);\\n t.normalizeLocal();\\n normals[(nrows * ncols) - 1] = t;\\n // Do first row and last row\\n for (int col = 1; col < (ncols - 1); col++) {\\n // First row\\n t = fnormals[0][col - 1][0].add(fnormals[0][col - 1][1]);\\n t.addLocal(fnormals[0][col][0]);\\n t.addLocal(fnormals[0][col][1]);\\n t.normalizeLocal();\\n normals[col] = t;\\n // Last row\\n t = fnormals[nrows - 2][col - 1][0].add(fnormals[nrows - 2][col - 1][1]);\\n t.addLocal(fnormals[nrows - 2][col][0]);\\n t.addLocal(fnormals[nrows - 2][col][1]);\\n t.normalizeLocal();\\n normals[((nrows - 1) * ncols) + col] = t;\\n }\\n // Do first and last column\\n for (int row = 1; row < (nrows - 1); row++) {\\n // First col\\n t = fnormals[row - 1][0][0].add(fnormals[row - 1][0][1]);\\n t.addLocal(fnormals[row][0][0]);\\n t.addLocal(fnormals[row][0][1]);\\n t.normalizeLocal();\\n normals[row * ncols] = t;\\n // Last col\\n t = fnormals[row - 1][ncols - 2][0].add(fnormals[row - 1][ncols - 2][1]);\\n t.addLocal(fnormals[row][ncols - 2][0]);\\n t.addLocal(fnormals[row][ncols - 2][1]);\\n t.normalizeLocal();\\n normals[(row * ncols) + (ncols - 1)] = t;\\n // Centre cols\\n for (int col = 1; col < (ncols - 1); col++) {\\n t = fnormals[row - 1][col - 1][0].add(fnormals[row - 1][col - 1][1]);\\n t.addLocal(fnormals[row - 1][col][0]);\\n t.addLocal(fnormals[row - 1][col][1]);\\n t.addLocal(fnormals[row][col - 1][0]);\\n t.addLocal(fnormals[row][col - 1][1]);\\n t.addLocal(fnormals[row][col][0]);\\n t.addLocal(fnormals[row][col][1]);\\n t.normalizeLocal();\\n normals[(row * ncols) + col] = t;\\n }\\n }\\n System.out.println(\\\"Processing finished...\\\");\\n setBuffer(VertexBuffer.Type.Position, 3, BufferUtils.createFloatBuffer(vertices));\\n setBuffer(VertexBuffer.Type.TexCoord, 2, texcoord);\\n setBuffer(VertexBuffer.Type.Index, 3, indexes);\\n setBuffer(VertexBuffer.Type.Normal, 3, BufferUtils.createFloatBuffer(normals));\\n updateBound();\\n System.out.println(\\\"NE corner: \\\" + vertices[vertices.length - 1].mult(0.006f));\\n // Hint to renderer that we don't plan on modifying the terrain.\\n this.setStatic();\\n }\",\n \"public void reset() {\\n\\t\\tmCenterOfProjection = new Vector3f(0, 0, 15);\\n\\t\\tmLookAtPoint = new Vector3f(0, 0, 0);\\n\\t\\tmUpVector = new Vector3f(0, 1, 0);\\n\\t\\tmCameraMatrix = new Matrix4f();\\n\\t\\tthis.update();\\n\\t}\",\n \"private void estimateFlatEarthPolynomial() {\\n int minLine = 0;\\n int maxLine = sourceImageHeight;\\n int minPixel = 0;\\n int maxPixel = sourceImageWidth;\\n \\n Rectangle rectangle = new Rectangle();\\n rectangle.setSize(maxPixel, maxLine);\\n \\n // int srpPolynomialDegree = 5; // for flat earth phase\\n int numberOfCoefficients = numberOfCoefficients(srpPolynomialDegree);\\n \\n double[][] position = distributePoints(srpNumberPoints, rectangle);\\n \\n // setup observation and design matrix\\n DoubleMatrix y = new DoubleMatrix(srpNumberPoints);\\n DoubleMatrix A = new DoubleMatrix(srpNumberPoints, numberOfCoefficients);\\n \\n double masterMinPi4divLam = (-4 * Math.PI * Constants.lightSpeed) / masterMetadata.radar_wavelength;\\n double slaveMinPi4divLam = (-4 * Math.PI * Constants.lightSpeed) / slaveMetadata.radar_wavelength;\\n \\n // Loop throu a vector or distributedPoints()\\n for (int i = 0; i < srpNumberPoints; ++i) {\\n \\n double line = position[i][0];\\n double pixel = position[i][1];\\n \\n // compute azimuth/range time for this pixel\\n final double masterTimeRange = pix2tr(pixel, masterMetadata);\\n \\n // compute xyz of this point : sourceMaster\\n Point3d xyzMaster = lp2xyz(line, pixel, masterMetadata, masterOrbit);\\n \\n final Point2d slaveTimeVector = xyz2t(xyzMaster, slaveMetadata, slaveOrbit);\\n final double slaveTimeRange = slaveTimeVector.x;\\n \\n // observation vector\\n y.put(i, (masterMinPi4divLam * masterTimeRange) - (slaveMinPi4divLam * slaveTimeRange));\\n \\n // set up a system of equations\\n // ______Order unknowns: A00 A10 A01 A20 A11 A02 A30 A21 A12 A03 for degree=3______\\n double posL = normalize(line, minLine, maxLine);\\n double posP = normalize(pixel, minPixel, maxPixel);\\n \\n int index = 0;\\n \\n for (int j = 0; j <= srpPolynomialDegree; j++) {\\n for (int k = 0; k <= j; k++) {\\n // System.out.println(\\\"A[\\\" + i + \\\",\\\" + index + \\\"]: \\\"\\n // + Math.pow(posL, (float) (j - k)) * Math.pow(posP, (float) k));\\n A.put(i, index, (Math.pow(posL, (double) (j - k)) * Math.pow(posP, (double) k)));\\n index++;\\n }\\n }\\n }\\n \\n // Fit polynomial through computed vector of phases\\n DoubleMatrix Atranspose = A.transpose();\\n DoubleMatrix N = Atranspose.mmul(A);\\n DoubleMatrix rhs = Atranspose.mmul(y);\\n \\n // TODO: validate Cholesky decomposition of JBLAS: see how it is in polyfit and reuse!\\n \\n // this should be the coefficient of the reference phase\\n flatEarthPolyCoefs = Solve.solve(N, rhs);\\n \\n /*\\n System.out.println(\\\"*******************************************************************\\\");\\n System.out.println(\\\"_Start_flat_earth\\\");\\n System.out.println(\\\"*******************************************************************\\\");\\n System.out.println(\\\"Degree_flat:\\\" + polyDegree);\\n System.out.println(\\\"Estimated_coefficients_flatearth:\\\");\\n int coeffLine = 0;\\n int coeffPixel = 0;\\n for (int i = 0; i < numberOfCoefficients; i++) {\\n if (flatEarthPolyCoefs.get(i, 0) < 0.) {\\n System.out.print(flatEarthPolyCoefs.get(i, 0));\\n } else {\\n System.out.print(\\\" \\\" + flatEarthPolyCoefs.get(i, 0));\\n }\\n \\n System.out.print(\\\" \\\\t\\\" + coeffLine + \\\" \\\" + coeffPixel + \\\"\\\\n\\\");\\n coeffLine--;\\n coeffPixel++;\\n if (coeffLine == -1) {\\n coeffLine = coeffPixel;\\n coeffPixel = 0;\\n }\\n }\\n System.out.println(\\\"*******************************************************************\\\");\\n System.out.println(\\\"_End_flat_earth\\\");\\n System.out.println(\\\"*******************************************************************\\\");\\n */\\n \\n // TODO: test inverse : when cholesky is finished\\n // // ______Test inverse______\\n // for (i=0; i<Qx_hat.lines(); i++)\\n // for (j=0; j<i; j++)\\n // Qx_hat(j,i) = Qx_hat(i,j);// repair Qx_hat\\n // const real8 maxdev = max(abs(N*Qx_hat-eye(real8(Qx_hat.lines()))));\\n // INFO << \\\"flatearth: max(abs(N*inv(N)-I)) = \\\" << maxdev;\\n // INFO.print();\\n // if (maxdev > .01)\\n // {\\n // ERROR << \\\"Deviation too large. Decrease degree or number of points?\\\";\\n // PRINT_ERROR(ERROR.get_str())\\n // throw(some_error);\\n // }\\n // else if (maxdev > .001)\\n // {\\n // WARNING << \\\"Deviation quite large. Decrease degree or number of points?\\\";\\n // WARNING.print();\\n // }\\n // else\\n // {\\n // INFO.print(\\\"Deviation is OK.\\\");\\n // }\\n // // ______Some other stuff, scale is ok______\\n // matrix<real8> y_hat = A * rhs;\\n // matrix<real8> e_hat = y - y_hat;\\n }\",\n \"public abstract Vector4fc zero();\",\n \"void createDummyPbufferSurface();\",\n \"public void invertNormals() {\\n mCubeNormalData = new float[]\\n {\\n // Front face\\n 0.0f, 0.0f, -1.0f,\\n 0.0f, 0.0f, -1.0f,\\n 0.0f, 0.0f, -1.0f,\\n 0.0f, 0.0f, -1.0f,\\n 0.0f, 0.0f, -1.0f,\\n 0.0f, 0.0f, -1.0f,\\n // Right face\\n -1.0f, 0.0f, 0.0f,\\n -1.0f, 0.0f, 0.0f,\\n -1.0f, 0.0f, 0.0f,\\n -1.0f, 0.0f, 0.0f,\\n -1.0f, 0.0f, 0.0f,\\n -1.0f, 0.0f, 0.0f,\\n // Back face\\n 0.0f, 0.0f, 1.0f,\\n 0.0f, 0.0f, 1.0f,\\n 0.0f, 0.0f, 1.0f,\\n 0.0f, 0.0f, 1.0f,\\n 0.0f, 0.0f, 1.0f,\\n 0.0f, 0.0f, 1.0f,\\n // Left face\\n 1.0f, 0.0f, 0.0f,\\n 1.0f, 0.0f, 0.0f,\\n 1.0f, 0.0f, 0.0f,\\n 1.0f, 0.0f, 0.0f,\\n 1.0f, 0.0f, 0.0f,\\n 1.0f, 0.0f, 0.0f,\\n // Top face\\n 0.0f, -1.0f, 0.0f,\\n 0.0f, -1.0f, 0.0f,\\n 0.0f, -1.0f, 0.0f,\\n 0.0f, -1.0f, 0.0f,\\n 0.0f, -1.0f, 0.0f,\\n 0.0f, -1.0f, 0.0f,\\n // Bottom face\\n 0.0f, 1.0f, 0.0f,\\n 0.0f, 1.0f, 0.0f,\\n 0.0f, 1.0f, 0.0f,\\n 0.0f, 1.0f, 0.0f,\\n 0.0f, 1.0f, 0.0f,\\n 0.0f, 1.0f, 0.0f\\n };\\n mCubeNormals.put(mCubeNormalData).position(0);\\n\\n }\",\n \"public void evaluate_surface() {\\n if (surface_type != 2) {\\n double epsilon = 0.001;\\n\\n for (int i = 0; i < nr_of_segments; i++) {\\n for (double u = 0.0; u < 1.0 - epsilon; u = u + step) {\\n for (int j = 0; j < points_per_segment; j++) {\\n for (double v = 0.0; v < 1.0 - epsilon; v = v + step) {\\n evaluated_points[(int) (((i + u) / step) + epsilon)][(int) (((j + v) / step)\\n + epsilon)] = evaluate_point_on_surface(i, j, u, v);\\n }\\n }\\n }\\n }\\n }\\n\\n }\",\n \"synchronized private void setupForDisplay() {\\n \\t\\tif (-1 == n_points) n_points = 0;\\n \\t\\t// load points\\n \\t\\t/* Database storage not implemented yet\\n \\t\\tif (null == p) {\\n \\t\\t\\tArrayList al = project.getLoader().fetchPolylinePoints(id);\\n \\t\\t\\tn_points = al.size();\\n \\t\\t\\tp = new double[2][n_points];\\n \\t\\t\\tp_layer = new long[n_points];\\n \\t\\t\\tIterator it = al.iterator();\\n \\t\\t\\tint i = 0;\\n \\t\\t\\twhile (it.hasNext()) {\\n \\t\\t\\t\\tObject[] ob = (Object[])it.next();\\n \\t\\t\\t\\tp[0][i] = ((Double)ob[0]).doubleValue();\\n \\t\\t\\t\\tp[1][i] = ((Double)ob[1]).doubleValue();\\n \\t\\t\\t\\tp_layer[i] = ((Long)ob[7]).longValue();\\n \\t\\t\\t\\ti++;\\n \\t\\t\\t}\\n \\t\\t}\\n \\t\\t*/\\n \\t}\",\n \"public static void main( String args[] )\\n {\\n JFrame f = new JFrame(\\\"Test for AltAzController\\\");\\n f.setBounds(0,0,200,200);\\n AltAzController controller = new AltAzController();\\n// controller.setVirtualScreenSize( 2, 2 );\\n f.getContentPane().add( controller );\\n f.setVisible( true );\\n\\n\\n JFrame window = new JFrame(\\\"Test for AltAzController\\\");\\n window.setBounds(20,20,500,500);\\n ThreeD_JPanel test = new ThreeD_JPanel();\\n window.getContentPane().add( test );\\n window.setVisible( true );\\n\\n controller.addControlledPanel( test );\\n IThreeD_Object objs[] = new IThreeD_Object[6];\\n Vector3D pts[] = new Vector3D[6];\\n pts[0] = new Vector3D( -1, 1, 0 );\\n pts[1] = new Vector3D( 1, 1, 0 );\\n pts[2] = new Vector3D( 1, 1, 1 );\\n pts[3] = new Vector3D( 1, 1, 0 );\\n pts[4] = new Vector3D( 1, -1, 0 );\\n pts[5] = new Vector3D( -1, -1, 0 );\\n objs[0] = new Polyline( pts, Color.CYAN );\\n\\n pts = new Vector3D[2];\\n pts[0] = new Vector3D( 0, 0, 0 );\\n pts[1] = new Vector3D( 1, 0, 0 );\\n objs[1] = new Polyline( pts, Color.RED );\\n\\n pts = new Vector3D[2];\\n pts[0] = new Vector3D( 0, 0, 0 );\\n pts[1] = new Vector3D( 0, 1, 0 );\\n objs[2] = new Polyline( pts, Color.GREEN );\\n\\n pts = new Vector3D[2];\\n pts[0] = new Vector3D( 0, 0, 0 );\\n pts[1] = new Vector3D( 0, 0, 1 );\\n objs[3] = new Polyline( pts, Color.BLUE );\\n\\n Vector3D center = new Vector3D( -1, -1, 1 );\\n Vector3D x_vec = new Vector3D( -1, 1, 0 );\\n Vector3D y_vec = new Vector3D( 0, 0, 1 );\\n float width = 3;\\n float height = 2;\\n Color[][] colors = { { Color.RED, Color.GREEN, Color.BLUE },\\n { Color.YELLOW, Color.CYAN, Color.MAGENTA },\\n { Color.ORANGE, Color.GRAY, Color.WHITE } };\\n\\n ImageRectangle1 im_rect = new ImageRectangle1( center,\\n x_vec,\\n y_vec,\\n width,\\n height,\\n colors );\\n objs[4] = im_rect;\\n\\n\\n center = new Vector3D( 1, 1, 1 );\\n y_vec = new Vector3D( 1, 1, 0 );\\n x_vec = new Vector3D( 1, -1, 0 );\\n width = 2;\\n height = 4;\\n Color[][] colors_2 = { { Color.RED, Color.GREEN, Color.BLUE },\\n { Color.YELLOW, Color.CYAN, Color.MAGENTA } };\\n\\n ImageRectangle1 im_rect_2 = new ImageRectangle1( center,\\n x_vec,\\n y_vec,\\n width,\\n height,\\n colors_2 );\\n objs[5] = im_rect_2;\\n\\n\\n test.setObjects( \\\"SAMPLE_OBJECTS\\\", objs );\\n\\n controller.apply( true );\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.66389203\",\n \"0.63119745\",\n \"0.6005128\",\n \"0.58454335\",\n \"0.57147217\",\n \"0.56263924\",\n \"0.5576034\",\n \"0.5569192\",\n \"0.55353063\",\n \"0.55290127\",\n \"0.5510147\",\n \"0.5503625\",\n \"0.547478\",\n \"0.54711837\",\n \"0.5455825\",\n \"0.5442388\",\n \"0.5430648\",\n \"0.5429968\",\n \"0.5402454\",\n \"0.5397372\",\n \"0.5369242\",\n \"0.5356202\",\n \"0.53375685\",\n \"0.5331842\",\n \"0.5326178\",\n \"0.5311177\",\n \"0.52976155\",\n \"0.52951413\",\n \"0.52949363\",\n \"0.52638096\",\n \"0.52519894\",\n \"0.5245275\",\n \"0.5232328\",\n \"0.52139086\",\n \"0.5187078\",\n \"0.5156305\",\n \"0.5154423\",\n \"0.51392335\",\n \"0.51386774\",\n \"0.5134125\",\n \"0.5126292\",\n \"0.5124504\",\n \"0.51235974\",\n \"0.5119623\",\n \"0.5117705\",\n \"0.5109943\",\n \"0.51096094\",\n \"0.5108937\",\n \"0.5108681\",\n \"0.5107268\",\n \"0.50993145\",\n \"0.50843096\",\n \"0.5070156\",\n \"0.50522786\",\n \"0.5050468\",\n \"0.50501084\",\n \"0.50363266\",\n \"0.5032479\",\n \"0.50014555\",\n \"0.49953705\",\n \"0.49899656\",\n \"0.4984968\",\n \"0.49680096\",\n \"0.49648657\",\n \"0.49532205\",\n \"0.4952817\",\n \"0.49511737\",\n \"0.49502227\",\n \"0.494247\",\n \"0.4936004\",\n \"0.493541\",\n \"0.49349654\",\n \"0.4934513\",\n \"0.49188244\",\n \"0.49173054\",\n \"0.49123576\",\n \"0.49117592\",\n \"0.4903905\",\n \"0.4894948\",\n \"0.48934475\",\n \"0.4886597\",\n \"0.4886075\",\n \"0.48803303\",\n \"0.48738217\",\n \"0.48727897\",\n \"0.48709875\",\n \"0.4870773\",\n \"0.48607525\",\n \"0.48531857\",\n \"0.48495677\",\n \"0.4848014\",\n \"0.48427552\",\n \"0.4839713\",\n \"0.48390445\",\n \"0.48362118\",\n \"0.48350218\",\n \"0.48321196\",\n \"0.48311704\",\n \"0.4827615\",\n \"0.48181978\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.51739424"},"document_rank":{"kind":"string","value":"35"}}},{"rowIdx":32593,"cells":{"query":{"kind":"string","value":"Make two deposits to the same account in separate threads. We start with a balance of $42: John deposits $100, Mary deposits $500."},"document":{"kind":"string","value":"private static void Demo() throws Exception {\r\n\t\t// int i;\r\n\t\t// We can access static class members with the class name, we don't need an object name\r\n\t\tMakeDeposit.balance = 42;\r\n\r\n\t\t/*\r\n\t\t * We need two instances of the class, each running in a separate\r\n\t\t * thread\r\n\t\t */\r\n\t\tMakeDeposit johnThread = new MakeDeposit(100);\r\n\t\tMakeDeposit maryThread = new MakeDeposit(500);\r\n\r\n\t\tjohnThread.start();\r\n\t\tmaryThread.start();\r\n\r\n\t\t// Wait for both threads to end... it's ok to eat the exception,\r\n\t\t// probably\r\n\t\ttry {\r\n\t\t\tjohnThread.join();\r\n\t\t} catch (InterruptedException e) {}\r\n\t\ttry {\r\n\t\t\tmaryThread.join();\r\n\t\t} catch (InterruptedException e) {}\r\n\r\n\t\t// Print the final balance\r\n\t\tSystem.out.println(\"The final balance is \" + MakeDeposit.balance);\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public static void main(String[] args) {\n Random rand = new Random();\n rand.setSeed(0);\n for (int run = 0; run < 1000 * 1000; run++) {\n // Generate 2 arrays of 50 amounts.\n final int NUM = 50;\n int difference = 0;\n int[] amounts1 = new int[50];\n int[] amounts2 = new int[50];\n for (int i = 0; i < NUM; i++) {\n amounts1[i] = rand.nextInt(500);\n amounts2[i] = rand.nextInt(500);\n difference -= amounts1[i];\n difference += amounts2[i];\n }\n\n // Make some accounts.\n Account a = new Account(0);\n Account b = new Account(1);\n\n // Run some transfer threads on the accounts.\n Thread[] threads = new Thread[] {\n new Thread(new Transfer(a, amounts1, b), \"Thread-1\"),\n new Thread(new Transfer(b, amounts2, a), \"Thread-2\"),\n };\n\n for (Thread thread : threads) {\n thread.start();\n }\n\n // Wait for them to finish.\n for (Thread thread : threads) {\n try {\n thread.join();\n } catch (InterruptedException e) {\n e.printStackTrace();\n }\n }\n\n // See if we got it right.\n if (a.getBalance() != -b.getBalance() ||\n a.getBalance() != difference ||\n b.getBalance() != -difference) {\n System.out.printf(\"Balances were %d & %d, supposed to be %d & %d\\n\",\n a.getBalance(), b.getBalance(),\n difference, -difference);\n }\n }\n }","@Override\n\tpublic void run() {\n\t\tAccount account = accountList.get(this.acc_id);\n\t\tswitch (this.tr_id) {// 0 = deposit; 1 = withdraw; 2 = transferFunds;\n\t\tcase 0: //Deposit\n\t\t\tSystem.out.println(Thread.currentThread().getName() + \" is helping Department ID \" + this.dept_id + \" in making a deposit of € \" + this.amt + \" to Account ID \"\n\t\t\t\t\t+ this.acc_id);\n\t\t\taccount.deposit(account, this.amt);\n\t\t\tbreak;\n\t\tcase 1: //Withdraw\n\t\t\tSystem.out.println(Thread.currentThread().getName() + \" is helping Department ID \" + this.dept_id + \" in making a withdrawal of € \" + this.amt\n\t\t\t\t\t+ \" from Account ID \" + this.acc_id);\n\t\t\taccount.withdraw(account, this.amt);\n\t\t\tbreak;\n\t\tcase 2: //TransferFunds\n\t\t\tSystem.out.println(Thread.currentThread().getName() + \" is helping Department ID \" + this.dept_id + \" in making a transfer of € \" + this.amt\n\t\t\t\t\t+ \" from Account ID \" + this.acc_id + \" to Account ID \" + this.acc_id_second);\n\t\t\tAccount destinationAccount = accountList.get(this.acc_id_second);\n\t\t\taccount.transferFunds(account, destinationAccount, this.amt);\n\t\t\tbreak;\n\t\t}\n\t}","public static void main(String[] args) {\n\t\tBankAccount first=new BankAccount(123456);\r\n\t\tBankAccount second=new BankAccount(234567);\r\n\t\t\r\n\t\tfirst.deposit(900);\r\n\t\t\r\n\t\tSystem.out.println(first.balance);\r\n\t\tSystem.out.println(second.balance);\r\n\t\t\r\n\t\tfirst.transfer(second, 100);\r\n\t\tSystem.out.println(first.balance);\r\n\t\tSystem.out.println(second.balance);\r\n\t}","public void secondThread() throws InterruptedException {\n\t\t\n\t\tRandom random = new Random();\n\t\tfor(int i = 0; i < 1000; i++) {\n\t\t\t/*lock1.lock();\n\t\t\tlock2.lock();*/\n\t\t\tacquireLocks(lock2, lock1);\n\t\t\tAccount.transfer(a2, a1, random.nextInt(100));\n\t\t\tlock1.unlock();\n\t\t\tlock2.unlock();\n\t\t}\n\t}","public static void main(String[] args) {\n\n entityManager.getTransaction().begin();\n\n\n\n Account account1 = entityManager.createQuery(\"from Account where accountNr = 1\", Account.class).getSingleResult();\n Account account2 = entityManager.createQuery(\"from Account where accountNr = 2\", Account.class).getSingleResult();\n\n account1.setBalance(1000);\n account2.setBalance(1000);\n\n entityManager.getTransaction().commit();\n\n System.out.println(entityManager.createQuery(\"from Account\").getResultList());\n\n new Thread(() -> {\n\n entityManager.getTransaction().begin();\n\n Account account = entityManager.createQuery(\"from Account where accountNr = 1\", Account.class).getSingleResult();\n\n try {\n Thread.sleep(1000);\n }\n catch (InterruptedException e) {\n e.printStackTrace();\n }\n\n account.withdraw(1000);\n System.out.println(entityManager.createQuery(\"from Account\").getResultList());\n\n entityManager.getTransaction().commit();\n\n }).run();\n\n new Thread(() -> {\n\n entityManager2.getTransaction().begin();\n\n Account account = entityManager.createQuery(\"from Account where accountNr = 1\", Account.class).getSingleResult();\n\n try {\n Thread.sleep(1000);\n }\n catch (InterruptedException e) {\n e.printStackTrace();\n }\n\n\n account.withdraw(500);\n System.out.println(entityManager.createQuery(\"from Account\").getResultList());\n\n entityManager2.getTransaction().begin();\n\n }).run();\n\n System.out.println(entityManager.createQuery(\"from Account\").getResultList());\n\n }","public static void deposit(){\n TOTALCMONEY = TOTALCMONEY + BALANCEDEPOSIT; //the cashier money equals the cashier money plus the amount that is being deposited\r\n BALANCE = BALANCE + BALANCEDEPOSIT; //the user balance equals the user balance plus the amount that is being deposited\r\n }","@Override\n\t\t\tpublic void run() {\n\t\t\t\ta1.deposit(1000);\n\t\t\t}","public void makeDeposit() {\n deposit();\n }","public void transferFunds(BankAccount account1, BankAccount account2, double amount){\n if(account1.checkAccountOpen()&&account2.checkAccountOpen()){\n if((account1.getCurrentBalance()-amount)>0) {\n if (isSameAccount(account1, account2)) {\n account1.subtractCreditTransaction(amount);\n account2.addDebitTransaction(amount);\n } else {\n System.out.println(\"This transaction could not be processed. BankAccount owners are not the same.\");\n }\n }\n else {\n System.out.println(\"Appropriate funds not found. Please check your current balance.\");\n }\n\n\n }\n }","void deposit(double amount) {\n try {Thread.sleep(10l);} catch (InterruptedException e) {}\r\n balance += amount;\r\n System.out.println(\"Inside deposit\"+ balance);\r\n }","private void makeDeposit() {\n\t\t\r\n\t}","public void firstThread() throws InterruptedException {\n\t\t\n\t\tRandom random = new Random();\n\t\tfor(int i = 0; i < 1000; i++) {\n\t\t\t/*lock1.lock();\n\t\t\tlock2.lock();*/\n\t\t\t\n\t\t\tacquireLocks(lock1, lock2);\n\t\t\tAccount.transfer(a1, a2, random.nextInt(100));\n\t\t\tlock1.unlock();\n\t\t\tlock2.unlock();\n\t\t}\n\t}","private static void deposite (double amount) {\n double resultDeposit = balance + amount;\r\n System.out.println(\"Deposit successful.\\nCurrent balance: \" + \"$\" + resultDeposit+ \".\");\r\n }","public void testOneDeposit(){\n\t\t//Pre-conditions\n\t\tteller.setWorking(true);\n\t\tteller.setHost(host);\n\t\t\n\t\tassertEquals(\"Teller's state should be free, but instead it is: \" + teller.getState(),\"Free\",teller.getState());\n\t\tassertEquals(\"Teller's state should be free, but instead it is: \" + teller.getState(),\"Free\",teller.getState());\n\t\tassertEquals(\"Teller should have no pending transactions, but it has: \" +teller.pendingTransactions.size(),0,teller.pendingTransactions.size());\n\t\t\n\t\tassertEquals(\"Teller should have no pending loans, but it has \" + teller.pendingLoans.size(),0,teller.pendingTransactions.size());\n\t\tassertEquals(\"Teller should have no accountsListed, but it has \" + teller.accountsListed.size(),0,teller.accountsListed.size());\n\t\t\n\t\t//Step 0 of test - Host sends the teller a new account for the incoming customer\n\t\tteller.msgHereIsAccount(new BankAccount(deposit,0));\n\t\t\n\t\t//Post-conditions of step 0 \n\t\tassertEquals(\"Teller should have one account listed, instead it has \" + teller.accountsListed.size(),1,teller.accountsListed.size());\n\t\tassertEquals(\"Teller's only account should have a balance of 0, instead it has \" + teller.accountsListed.get(0).getBalance(), \n\t\t\t\t0.0,teller.accountsListed.get(0).getBalance());\n\t\t\n\t\t//Step 1 of test\n\t\t//msgGoSeeTeller(Banker)\n\t\tdeposit.msgGoSeeTeller(teller);\n\t\t\n\t\t//Post-conditions of step 1 \n\t\tassertEquals(\"Teller's state should be busy, but instead it is: \" + teller.getState(),\"Busy\",teller.getState());\n\t\tassertEquals(\"Teller should have one pending transaction, but it has: \" +teller.pendingTransactions.size(),\n\t\t\t\t1,teller.pendingTransactions.size());\n\t\tassertEquals(\"Teller's transaction should be to deposit 100 dollars, instead it is for \" + teller.pendingTransactions.get(deposit), \n\t\t\t\t100.0, teller.pendingTransactions.get(deposit));\n\t\t\n\t\t//Step 2 of test\n\t\tassertTrue(\"Teller's scheduler should return true, but it doesn't.\", teller.pickAndExecuteAnAction());\n\t\t\n\t\t//Post-conditions of step 2 \n\t\tassertEquals(\"Teller's state should be free, but instead it is: \" + teller.getState(),\"Free\",teller.getState());\n\t\tassertEquals(\"Teller should have no pending transactions, but it has: \" +teller.pendingTransactions.size(),0,teller.pendingTransactions.size());\n\t\tassertTrue(\"Host's log should have a message stating \\\"Updated account, and added teller\\\", instead it reads: \" + host.log.getLastLoggedEvent().toString(), \n\t\t\t\thost.log.containsString(\"Updated account, and added teller\"));\n\t\tassertTrue(\"Customer's log should have a message stating \\\"Got 0.0 dollars, leaving bank.\\\", instead it reads: \" + deposit.log.getLastLoggedEvent().toString(),\n\t\t\t\tdeposit.log.containsString(\"Got 0.0 dollars, leaving bank.\"));\n\t\tassertEquals(\"Customer's account stored in teller should be updated with the correct balance of 100.0, instead it has \" + teller.accountsListed.get(0).getBalance(), 100.0, teller.accountsListed.get(0).getBalance());\n\t\t\n\t}","private void doDeposit() {\n while (true){\n try{\n Account userAccount = ui.readAccount(currentUser.getAccounts());\n int amountDeposited = ui.takeDepositEnvelope();\n userAccount.credit(amountDeposited);\n ui.deliverMoney(amountDeposited);\n ui.displayNewBalance(userAccount);\n break;\n\n } catch (Exception e){\n ui.displayError(\"Please enter a valid number.\");\n }\n }\n\n\n }","public static void main(String[] args) {\n Bank bank = new Bank();\n\n bank.addAccount(new Account(\"Acc_01\", 100));\n bank.addAccount(new Account(\"Acc_02\", 120));\n bank.addAccount(new Account(\"Acc_03\", 50));\n\n Client client1 = new Client(bank, \"Acc_01\", new ArrayList<>(Arrays.asList(\"-50\", \"+20\", \"-90\", \"-50\")));\n Client client2 = new Client(bank, \"Acc_01\", new ArrayList<>(Arrays.asList(\"+10\", \"-30\", \"-45\", \"+20\")));\n\n new Thread(client1).start();\n new Thread(client2).start();\n\n }","@Override\n\tvoid make_deposit(DataStore ds){\n\tds.setbalancedepositAccount1(ds.getbalanceAccount1_temp()+ds.getdepositAccount1());\n\t}","public void ventaBilleteMaquina2()\n {\n maquina2.insertMoney(600);\n maquina1.printTicket();\n }","public static void main(String[] args) {\n\n\t\tDemo dem = new Demo();\n\t\tBigDecimal initialDeposit = new BigDecimal(0);\n\n\t\tPerson customer1 = dem.addPerson(\"Ade\", \"104 Lane Dr\", 28738);\n\t\tdem.customers.put(dem.custTracker, customer1);\n\t\tBigDecimal startingNum1 = new BigDecimal(100);\n\t\tCustomer customer2 = dem.addPerson(\"Jane\", \"104 Lane Dr\", 43436);\n\t\tdem.customers.put(dem.custTracker, customer2);\n\t\tBigDecimal startingNum2 = new BigDecimal(30);\n\t\tCompany company1 = dem.addCompany(\"This Company\", \"3948 Lego Ln\", 76858);\n\t\tdem.customers.put(dem.custTracker, company1);\n\t\tBigDecimal startingNum3 = new BigDecimal(30124);\n\t\t\n\t\t\n\n\t\tSavings forcustomer1 = dem.addSavAcc(startingNum1);\n\t\tdem.accounts.put(dem.accTracker, forcustomer1);\n\t\tCurrent forcustomer2 = dem.addCurrAcc(startingNum2, 5615652, 8744155); //saving first check num and next cheque num\n\t\tdem.accounts.put(dem.accTracker, forcustomer2);\n\t\tCurrent forcompany1 = dem.addCurrAcc(startingNum3, 52929526, 615651922);\n\t\tdem.accounts.put(dem.accTracker, forcompany1);\n\n\t\tBigDecimal withdrawl = new BigDecimal(110); //testing no overdraft of savings\n\t\tforcustomer1.withdraw(withdrawl);\n\t\t\n\t\tBigDecimal deposit = new BigDecimal(40); //test deposit method\n\t\tforcustomer2.deposit(deposit);\n\t\t\n\t\tBigDecimal reset = new BigDecimal(1000);\n\t\tcustomer1.reset(reset);\n\n\t\t\n\t\tcompany1.add(deposit);\n\t\t\n\t\t\n\t\t//company1.add(bd);\n\t\t\n\t\t//forcustomer2.overdraw(); // test overdraft fee method\n\t\t\n\t\t//BigDecimal correctbalance = new BigDecimal(1000); // test correction method\n\t\t//forcustomer2.correction(correctbalance);\n\n\t\t\n\t\t\n\t\tSystem.out.println(dem.customers);\n\t\tSystem.out.println(dem.accounts);\n\n\t\t// BigDecimal accBalance = new BigDecimal(0);\n\t\t// currAcc.setBalance(accBalance); // okay it works. i guess. so thats good.\n\t\t// System.out.println(currAcc.getBalance());\n\t\t//\n\t\t// accountSetUp(accBalance, 1000);\n\t}","public void deposit(long amount) {\n\t\n\tbalance += amount;\n\t\n\tlog += \"Deposit made to this account in the ammount of \"+amount+\" on \"+date+\"\\n\";\n\tlog += log += \" Current balance is \"+balance+\" \\n\";\n\tupdate();\n}","public void deposit(double amount)\n {\n balanceChangeLock.lock();\n try\n {\n System.out.print(\"Depositando \" + amount);\n double newBalance = balance + amount;\n System.out.println(\", novo saldo igual a \" + newBalance);\n balance = newBalance;\n sufficientFundsCondition.signalAll();\n }\n finally\n {\n balanceChangeLock.unlock();\n }\n }","@Test\n public void customerCanPerformTransferBetweenAccounts() {\n String ownerId = \"ownerId\";\n Account accountFrom = AccountFactory.createAccount(AccountFactory.AccountType.SAVINGS, ownerId);\n Account accountTo = AccountFactory.createAccount(AccountFactory.AccountType.SAVINGS, ownerId);\n\n // Put some money in the from account\n Transaction transaction = new Transaction.Builder().setDescription(\"Test\").setAmount(DollarAmount.fromInt(100)).setType(Transaction.Type.DEPOSIT).build();\n accountFrom.applyTransaction(transaction);\n assertEquals(accountFrom.getAccountBalance(), DollarAmount.fromInt(100));\n\n // Attempt transfer\n Account.transfer(accountFrom, accountTo, DollarAmount.fromInt(30));\n\n // Assert transfer was successful\n assertEquals(DollarAmount.fromInt(70), accountFrom.getAccountBalance());\n assertEquals(DollarAmount.fromInt(30), accountTo.getAccountBalance());\n }","public void deposit(double amount)\n {\n startingBalance += amount;\n }","@Override\n public int execute() throws InterruptedOperationException, CancelOperationException {\n Logger logger = Log4j.getLogger();\n int success = 0;\n try {\n String accountNumber = null;\n BigDecimal amount = BigDecimal.ONE;\n Transaction transaction;\n LocalDateTime now;\n String userId = BankApp.getCurrentUser().getUserId();\n List<String> accountNumbers = accountDao.getAccountNumbers(userId);\n ConsoleHelper.println(\"\");\n ConsoleHelper.displayMenuBanner();\n ConsoleHelper.printlnWithTab(\"[DEPOSIT]\");\n ConsoleHelper.printAccountList();\n\n boolean isValidInput = false;\n do {\n ConsoleHelper.printWithTab(\"Into: \");\n String input = ConsoleHelper.readString();\n for (int i = 1; i <= accountNumbers.size(); i++) {\n if (input.equals(String.valueOf(i))) {\n accountNumber = accountNumbers.get(i - 1);\n isValidInput = true;\n break;\n }\n }\n\n } while (!isValidInput);\n\n isValidInput = false;\n do {\n ConsoleHelper.printWithTab(\"Amount: \");\n String input = ConsoleHelper.readString();\n try {\n double inputValue = Double.parseDouble(input);\n amount = BigDecimal.valueOf(inputValue);\n int decimalPlaces = ConsoleHelper.getNumberOfDecimalPlaces(amount);\n if (decimalPlaces == 0 && amount.compareTo(BigDecimal.valueOf(0)) > 0) {\n isValidInput = true;\n } else {\n ConsoleHelper.printlnWithTab(\"Invalid amount, we only accept whole number deposit.\");\n }\n } catch (NumberFormatException e) {\n // the amount format is not valid\n }\n } while (!isValidInput);\n\n int countAccount = accountDao.deposit(accountNumber, amount);\n now = LocalDateTime.now();\n Account account = accountDao.getAccount(accountNumber);\n transaction = new Transaction(TransactionType.DEPOSIT, userId, now, amount, account);\n int countTransaction = transactionDao.addTransaction(transaction);\n success = countAccount == 1 && countTransaction == 1 ? 1 : 0;\n if (success == 1) {\n ConsoleHelper.printlnWithTab(\"Deposit completed.\");\n ConsoleHelper.println(\"\");\n } else {\n ConsoleHelper.printlnWithTab(\"System failure, deposit cancelled. Please try later.\");\n }\n try {\n Thread.sleep(1500);\n } catch (InterruptedException e) {\n logger.error(\"Interrupted Exception when thread sleep\", e);\n }\n } catch (CancelOperationException e) {\n // do nothing, allow user to return to main menu\n }\n return success;\n }","private void deposit() {\n userInput = 0;\n while (userInput <= 0) {\n System.out.printf(\"Din nuværende balance er: %.2f DKK\\n\" +\n \"Indtast ønsket beløb at indsætte: \", balanceConverted);\n\n textMenuKey(false, \"\");\n\n if (userInput <= 0) {\n System.out.println(\"Indtast et gyldigt beløb\");\n }\n }\n\n moneyController(userInput);\n mysql.transactionUpdate(customerNumber, customerName, balance, userInput, \"Deposited\");\n }","@Override\r\n\tpublic void run() {\n\t\tfor(int i = 0; i < 100; i++){\r\n\t\t\taccount.addAmount(1000);\r\n\t\t}\r\n\t}","public static void main(String[] args) \n\t{\n\t\tExercise039 account1 = new Exercise039( 50.00 ); // create Exercise039 object\n\t\tExercise039 account2 = new Exercise039( -7.53 ); // create Exercise039 object\n\t\t\n\t\t// display initial balance of each object\n\t\tSystem.out.printf( \"account1 balance: $%.2f\\n\", account1.getBalance() );\n\t\tSystem.out.printf( \"account2 balance: $%.2f\\n\\n\", account2.getBalance() );\n\t\t\n\t\t// create Scanner to obtain input from command window\n\t\tScanner input = new Scanner ( System.in );\n\t\tdouble withdrawAmount; // debit amount read from user\n\t\t\n\t\tSystem.out.print( \"Enter debit amount for account1: \" ); // prompt\n\t\twithdrawAmount = input.nextDouble(); // obtain user input\n\t\tSystem.out.printf(\"\\ndeducting %.2f from account1 balance\\n\\n\", withdrawAmount );\n\t\taccount1.debit(withdrawAmount); // deduct from account1 balance\n\t\t\n\t\t// display balances\n\t\tSystem.out.printf( \"account1 balance: $%.2f\\n\", account1.getBalance() );\n\t\tSystem.out.printf( \"account2 balance: $%.2f\\n\\n\", account2.getBalance() );\n\t\t\n\t\tSystem.out.print( \"Enter withdraw amount for account2: \"); // prompt\n\t\twithdrawAmount = input.nextDouble(); // obtain user input\n\t\tSystem.out.printf( \"\\ndeducting %.2f from account2 balance\\n\\n\", withdrawAmount );\n\t\taccount2.debit( withdrawAmount ); //deduct from account2 balance\n\t\t\n\t\t// display balances\n\t\tSystem.out.printf( \"account1 balance: $%.2f\\n\", account1.getBalance() );\n\t\tSystem.out.printf( \"account2 balance: $%.2f\\n\", account2.getBalance() );\n\t}","public static void main(String[] args) throws InterruptedException {\n Item item1 = new Item(\"Coca-cola\", 200);\n System.out.println(\"Price before discount: \" + item1.getPrice());\n System.out.println(\"Price after discount: \" + item1.calculateDiscount()); //should be same price, 200, there's no doscount for this type\n\n ItemWithDiscount item2 = new ItemWithDiscount(\"Coca-cola Zero\", 2.0);\n System.out.println(\"\\nPrice before discount: \" + item2.getPrice());\n item2.setDiscount(10);\n System.out.println(\"Price after discount: \" + item2.calculateDiscount()); // 2 - 0.2 = 1.8\n\n\n //CHECK BUY PAY DISCOUNT\n BuyMorePayLess item04 = new BuyMorePayLess(\"Milk\", 10);\n BuyMorePayLess item05 = new BuyMorePayLess(\"Milk\", 10);\n BuyMorePayLess item06 = new BuyMorePayLess(\"Milk\", 1);\n item04.setBuyPayOffer(3,2);\n item04.calculateDiscount();\n\n //Check TakeItAll discount\n ItemTakeItAll item07 = new ItemTakeItAll(\"Tuna\",5.00);\n ItemTakeItAll item08 = new ItemTakeItAll(\"Tuna\",5.00);\n\n// item07.setDiscount(10);\n item07.setMinimumNumber(1);\n System.out.println(\"##################\" + item07.calculateDiscount());\n\n // USERS\n LoyalCustomer customer01 = new LoyalCustomer(\"Giorgi Tsipuria\", \"giobaski\", \"123\",\n \"Gonsiori 33\",\"55945239\");\n\n //B A S K E T S\n Basket basket01 = new Basket(\"Tartu 46\", \"Kairi\", customer01);\n basket01.insertItem(item1); //200 -> 200\n basket01.insertItem(item2); // 2.0 -> 1.8\n System.out.println(\"Total payment in basket: \" + basket01.caclulatePayment()); //201.8 + 201.8 * 0.1 = 221.98\n\n\n\n\n\n //1. Create Store\n Store store = new Store(\"Raua 16\");\n\n //2. sign into store\n Cashier currentCashier = store.cashierAuthentication();\n\n //3.\n Menu currentMenu = store.openMenu();\n\n //4. new basket\n currentMenu.openNewBasket(customer01);\n\n\n //5.Cashier starts adding items into new basket\n System.out.println(currentMenu.getBasket());\n currentMenu.getBasket().insertItem(item1);\n currentMenu.getBasket().insertItem(item2);\n\n\n System.out.println(\"######Basket By ID:\");\n currentMenu.printBasketInfoById(2);\n System.out.println(\"########\");\n\n\n //6. Calculate total price for the current basket\n currentMenu.getBasket().caclulatePayment();\n System.out.println(currentMenu.getBasket());\n System.out.println(\"currents items: \");\n System.out.println(currentMenu.getBasket().getItems());\n\n //7. Logout cashier\n Thread.sleep(10000);\n currentMenu.exit();\n\n\n // Additional features\n System.out.println(\"points of the loyal customer: \" + customer01.getPoints());\n\n System.out.println(\"Bonus for cashier: \" + currentCashier.calculateBonus() + \" Euros\");\n\n\n\n\n\n\n }","void deposit(double Cash){\r\n\t\tbalance=balance+Cash;\r\n\t}","@Override\n\tpublic void run(String... args) throws Exception {\n\t\taccountListRepository.deleteAll();\n\t\taccountTransactionRepository.deleteAll();\n\t\t\n\t\tAccountListDTO account1 = new AccountListDTO();\n\t\taccount1.setAccountNumber(585309209);\n\t\taccount1.setAccountName(\"SGSavings726\");\n\t\taccount1.setAccountType(\"Savings\");\n\t\taccount1.setBalanceDate(LocalDate.of(2018, 11, 8));\n\t\taccount1.setCurrency(\"SGD\");\n\t\taccount1.setOpeningAvailableBalance(84327.51);\n\t\taccountListRepository.save(AccountListDTO.prepareAccountListEntity(account1));\n\t\t\n\t\tAccountListDTO account2 = new AccountListDTO();\n\t\taccount2.setAccountNumber(791066619);\n\t\taccount2.setAccountName(\"AUSavings933\");\n\t\taccount2.setAccountType(\"Savings\");\n\t\taccount2.setBalanceDate(LocalDate.of(2018, 11, 8));\n\t\taccount2.setCurrency(\"AUD\");\n\t\taccount2.setOpeningAvailableBalance(88005.93);\n\t\taccountListRepository.save(AccountListDTO.prepareAccountListEntity(account2));\n\t\t\n\t\tAccountListDTO account3 = new AccountListDTO();\n\t\taccount3.setAccountNumber(347786244);\n\t\taccount3.setAccountName(\"AUCurrent433\");\n\t\taccount3.setAccountType(\"Current\");\n\t\taccount3.setBalanceDate(LocalDate.of(2018, 11, 8));\n\t\taccount3.setCurrency(\"AUD\");\n\t\taccount3.setOpeningAvailableBalance(38010.62);\n\t\taccountListRepository.save(AccountListDTO.prepareAccountListEntity(account3));\n\t\t\n\t\tAccountTransactionDTO transaction1 = new AccountTransactionDTO();\n\t\ttransaction1.setAccountNumber(1232223212);\n\t\ttransaction1.setAccountName(\"Current Account\");\n\t\ttransaction1.setValueDate(LocalDate.of(2012, 1, 12));\n\t\ttransaction1.setCurrency(\"SGD\");\n\t\ttransaction1.setCreditAmount(9540.98);\n\t\ttransaction1.setDebitOrCredit(\"Credit\");\n\t\taccountTransactionRepository.save(AccountTransactionDTO.prepareAccountTransactionEntity(transaction1));\n\t\t\n\t\tAccountTransactionDTO transaction2 = new AccountTransactionDTO();\n\t\ttransaction2.setAccountNumber(1232223212);\n\t\ttransaction2.setAccountName(\"Current Account\");\n\t\ttransaction2.setValueDate(LocalDate.of(2012, 1, 12));\n\t\ttransaction2.setCurrency(\"SGD\");\n\t\ttransaction2.setCreditAmount(7497.82);\n\t\ttransaction2.setDebitOrCredit(\"Credit\");\n\t\taccountTransactionRepository.save(AccountTransactionDTO.prepareAccountTransactionEntity(transaction2));\n\t\t\n\t\tAccountTransactionDTO transaction3 = new AccountTransactionDTO();\n\t\ttransaction3.setAccountNumber(1232223212);\n\t\ttransaction3.setAccountName(\"Current Account\");\n\t\ttransaction3.setValueDate(LocalDate.of(2012, 1, 12));\n\t\ttransaction3.setCurrency(\"SGD\");\n\t\ttransaction3.setCreditAmount(5564.79);\n\t\ttransaction3.setDebitOrCredit(\"Credit\");\n\t\taccountTransactionRepository.save(AccountTransactionDTO.prepareAccountTransactionEntity(transaction3));\n\t\t\n\t}","public static void deposit() {\n\t\ttry {\n\t\t\tif (!LoginMgr.isLoggedIn()) {\n\t\t\t\tthrow new NotLoggedInException();\n\t\t\t}\n\n\t\t\t//Scanner s = new Scanner(System.in);\n\t\t\tSystem.out.println(\"Enter account number:\");\n\t\t\tString accNum = \"\";\n\t\t\tif (Quinterac.s.hasNextLine())\n\t\t\t\taccNum = Quinterac.s.nextLine();\n\n\t\t\tif (!ValidAccListMgr.checkAccNumExist(accNum)) {\n\t\t\t\tSystem.out.println(\"Please enter a valid account number\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tSystem.out.println(\"Enter the amount of money to deposit in cents:\");\n\t\t\tint amount = 0;\n\t\t\tif (Quinterac.s.hasNextInt()) amount = Integer.parseInt(Quinterac.s.nextLine());\n\t\t\t\n\t\t\tString modeName = LoginMgr.checkMode();\n\t\t\tif (modeName.equals(\"machine\")) {\n\t\t\t\tatmCheckDepositValid(accNum, amount);\n\t\t\t} else if (modeName.equals(\"agent\")) {\n\t\t\t\tagentCheckDepositValid(accNum, amount);\n\t\t\t}\n\n\t\t} catch (NotLoggedInException e) {\n\t\t\tSystem.out.println(e.getMessage());\n\t\t} catch (Exception e) {\n\t\t\tSystem.out.println(e.getMessage());\n\t\t}\n\t}","protected void deposit(double amount)\n\t{\n\t\tacc_balance+=amount;\n\t}","@Override\n\tpublic void deposit(int money) {\n\t\t\n\t}","void depositByCheque(double amount) {\n\t\tif (isSuspended()) {\n\t\t\tSystem.out.println(\"Account is suspended.\");\n\t\t\treturn;\n\t\t}\n\t\tif (amount <= 0) {\n\t\t\tSystem.out.println(\"Amount must be more than 0.\");\n\t\t\tSystem.out.println(\"Depositing failed.\");\n\t\t\treturn;\n\t\t}\n\t\tcheque += amount;\n\t\tSystem.out.println(\"Deposit cheque \" + amount + \" successfully\");\n\t}","@Override\n public void transferLockingAccounts(int fromId, int toId, long amount) throws InsufficientFundsException {\n Account fromAcct = accountMap.get(fromId);\n Account toAcct = accountMap.get(toId);\n Account lock1, lock2;\n\n if(fromAcct.getId() < toAcct.getId()){\n lock1 = fromAcct;\n lock2 = toAcct;\n } else {\n lock1 = toAcct;\n lock2 = fromAcct;\n }\n\n synchronized (lock1){\n synchronized (lock2){\n fromAcct.withdraw(amount);\n toAcct.deposit(amount);\n }\n }\n }","public void testOneWithdrawal(){\n\t\t//Pre-conditions\n\t\tteller.setWorking(true);\n\t\tteller.setHost(host);\n\t\t\n\t\tassertEquals(\"Teller's state should be free, but instead it is: \" + teller.getState(),\"Free\",teller.getState());\n\t\tassertEquals(\"Teller's state should be free, but instead it is: \" + teller.getState(),\"Free\",teller.getState());\n\t\tassertEquals(\"Teller should have no pending transactions, but it has: \" +teller.pendingTransactions.size(),0,teller.pendingTransactions.size());\n\t\t\n\t\tassertEquals(\"Teller should have no pending loans, but it has \" + teller.pendingLoans.size(),0,teller.pendingTransactions.size());\n\t\tassertEquals(\"Teller should have no accountsListed, but it has \" + teller.accountsListed.size(),0,teller.accountsListed.size());\n\t\t\n\t\t//Step 0 of test - Teller has an account for this customer already \n\t\tteller.accountsListed.add(new BankAccount(withdraw,100));\n\t\t\n\t\t//Post-conditions of step 0 \n\t\tassertEquals(\"Teller should have one account listed, instead it has \" + teller.accountsListed.size(),1,teller.accountsListed.size());\n\t\tassertEquals(\"Teller's only account should have a balance of 100, instead it has \" + teller.accountsListed.get(0).getBalance(), \n\t\t\t\t100.0,teller.accountsListed.get(0).getBalance());\n\t\t\n\t\t//Step 1 of test\n\t\t//msgGoSeeTeller(Banker)\n\t\twithdraw.msgGoSeeTeller(teller);\n\t\t\n\t\t//Post-conditions of step 1 \n\t\tassertEquals(\"Teller's state should be busy, but instead it is: \" + teller.getState(),\"Busy\",teller.getState());\n\t\tassertEquals(\"Teller should have one pending transaction, but it has: \" +teller.pendingTransactions.size(),\n\t\t\t\t1,teller.pendingTransactions.size());\n\t\tassertEquals(\"Teller's transaction should be to withdraw 100 dollars, instead it is for \" + teller.pendingTransactions.get(withdraw), \n\t\t\t\t-100.0, teller.pendingTransactions.get(withdraw));\n\t\t\n\t\t//Step 2 of test\n\t\tassertTrue(\"Teller's scheduler should return true, but it doesn't.\", teller.pickAndExecuteAnAction());\n\t\t\n\t\t//Post-conditions of step 2 \n\t\tassertEquals(\"Teller's state should be free, but instead it is: \" + teller.getState(),\"Free\",teller.getState());\n\t\tassertEquals(\"Teller should have no pending transactions, but it has: \" +teller.pendingTransactions.size(),0,teller.pendingTransactions.size());\n\t\tassertTrue(\"Host's log should have a message stating \\\"Updated account, and added teller\\\", instead it reads: \" + host.log.getLastLoggedEvent().toString(), \n\t\t\t\thost.log.containsString(\"Updated account, and added teller\"));\n\t\tassertTrue(\"Customer's log should have a message stating \\\"Got 100.0 dollars, leaving bank.\\\", instead it reads: \" + withdraw.log.getLastLoggedEvent().toString(),\n\t\t\t\twithdraw.log.containsString(\"Got 100.0 dollars, leaving bank.\"));\n\t\tassertEquals(\"Customer's account stored in teller should be updated with the correct balance of 0.0, instead it has \" + teller.accountsListed.get(0).getBalance(), \n\t\t\t\t0.0, teller.accountsListed.get(0).getBalance());\n\t\t\n\t}","public void makeDeposit(double deposit) {\n\t\t// implement\n\t\tthis.balance += deposit;\n\t}","public static void main(String[] args) {\n BankAccount Yaoming = new BankAccount(0, \"blobfis@h\");\n BankAccount Hoshi = new BankAccount(2348123, \"Seventeen\");\n BankAccount Pewpew = new BankAccount(1245, \" \");\n\n System.out.println(Yaoming.getBalance());\n System.out.println(Hoshi.getAccountID());\n // System.out.println(Yaoming.getPassword());\n Yaoming.setPassword(\"donkey\");\n // System.out.println(Yaoming.getPassword());\n System.out.println(Yaoming.deposit(53.43));\n System.out.println(Yaoming.getBalance());\n if ( Yaoming.deposit(-100) ) System.out.println(\"Deposit successful!\");\n else {System.out.println(\"Deposit failed!\");}\n System.out.println();\n\n // System.out.println(Pewpew.getPassword());\n System.out.println(Pewpew.getBalance());\n System.out.println(Pewpew.deposit(2147823.23));\n System.out.println(Pewpew.withdraw(9999999));\n System.out.println(Pewpew.withdraw(-1231784.23));\n System.out.println(Pewpew.withdraw(0.23));\n System.out.println(Pewpew.getBalance());\n System.out.println();\n\n System.out.println(Hoshi.toString());\n System.out.println(Yaoming.toString());\n System.out.println(Pewpew.toString());\n System.out.println();\n\n BankAccount Sophia = new BankAccount(123456, \"meowmeow\");\n BankAccount Funky = new BankAccount(7890, \"woofwoof\");\n Sophia.deposit(7500);\n System.out.println(Sophia.getBalance());\n System.out.println(Funky.getBalance());\n System.out.println(Sophia.transferTo(Funky, 500, \"meowmeow\")); //should be true\n System.out.println(Funky.transferTo(Sophia, 1000, \"woofwoof\")); //should be false\n System.out.println(Funky.transferTo(Sophia, 300, \"hehehe\")); //should be false\n System.out.println(Sophia.getBalance()); //should be 7000.0\n System.out.println(Funky.getBalance()); //should be 500.0\n\n }","public void deposit(double deposit){\n accTransactions.add(new Transaction('D', deposit, balance, \"deposit\"));\n balance += deposit;\n }","@Test\n public void testImpossible1TransferMoney() {\n Bank bank = new Bank();\n User user = new User(\"Petr\", \"0000 000000\");\n AccountOfUser acc = new AccountOfUser(0, \"0000 0000 0000 0000\");\n AccountOfUser acc2 = new AccountOfUser(0, \"0000 0000 0000 0001\");\n bank.addUser(user);\n bank.addAccountToUser(user.getPassport(), acc);\n bank.addAccountToUser(user.getPassport(), acc2);\n assertThat(bank.transferMoney(user.getPassport(), acc.getRequisites(), user.getPassport(), acc2.getRequisites(), 100), is(false));\n }","public static void main(String[] args) {\n\t\tBank b = new Bank();\n\t\tRandom r = new Random();\n\t\tfor(int i = 0; i < 29; i++) {\n\t\t\tb.addAccount(new Account(i*100000, r.nextInt(1000000)*r.nextDouble(),Integer.toString(i)));\n\t\t}\n\t\tSystem.out.println(b);\n\t\tSystem.out.println(b.addAccount(new Account(1500l, r.nextInt(1000000)*r.nextDouble(), \"100\")));\n\t\tSystem.out.println(b.removeAccount(1500l));\n\t\tSystem.out.println(b.deposit(1500l, 1000d));\n\t\tSystem.out.println(b.deposit(0l, 1000d));\n\t\tSystem.out.println(b.withdraw(0l, 1000000000000000000d));\n\t}","public static void main(String[] args) {\n IBank b = new SyncBank(NACCOUNTS, INITIAL_BALANCE);\n\n for (int i = 0; i < NACCOUNTS; i++) {\n TransferThread t = new TransferThread(b, i,\n INITIAL_BALANCE);\n t.setPriority(Thread.NORM_PRIORITY + i % 2);\n t.start();\n }\n }","public void deposit(int amount) {\n\t\tint newBalance = balance + amount;\n\t\ttry{\n\t\t\tThread.sleep(5); //added to make magnify corruption & make visible\n\t\t}catch(InterruptedException ex) {\n\t\t\tex.printStackTrace();\n\t\t}\n\t\tthis.balance = newBalance;\n\t}","void depositByCash(double amount) {\n\t\tif (isSuspended()) {\n\t\t\tSystem.out.println(\"Account is suspended.\");\n\t\t\tSystem.out.println(\"Depositing failed.\");\n\t\t\treturn;\n\t\t}\n\t\tif (amount <= 0) {\n\t\t\tSystem.out.println(\"Amount must be more than 0.\");\n\t\t\tSystem.out.println(\"Depositing failed.\");\n\t\t\treturn;\n\t\t}\n\t\tbalance += amount;\n\t\tSystem.out.println(\"Deposit \" + amount + \" successfully\");\n\t}","public void deposit(double amount)\n {\n balance = balance + amount;\n }","public void deposit (double amount) \r\n {\r\n\r\n balance += amount;\r\n System.out.println (\"Deposit into account shs: \" + account);\r\n System.out.println (\"Standing Amount: \" + amount);\r\n System.out.println (\"Current balance: \" + balance);\r\n System.out.println ();\r\n\r\n }","@Test\n\tpublic void createAccountDebtsTest() {\n\t\tsetChequingRadioDefaultOff();\n\t\trdbtnDebt.setSelected(true);\n\t\tdata.setRdbtnDebt(rdbtnDebt);\n\t\tAccount account = data.createNewAccount();\n\t\taccountTest = new Account(TEST_ACCOUNT_NAME, bankTest,\n\t\t\t\tAccount.Types.DEBITS.getAccountType());\n\t\tassertEquals(accountTest, account);\n\t}","public synchronized void sponsor(final Operation sponsor, final Account account, final Lock lock) {\r\n\r\n\t\ttry {//tenta colocar a thread em sleep com o valor padrao definido, caso nao consiga, interrompe a thread e imprime o codigo da excecao\r\n\t\t\tThread.sleep((15000));\r\n\t\t} catch (InterruptedException e) {\r\n\t\t\tThread.currentThread().interrupt();\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\t//trava, verifica se o saldo é igual a zero, adiciona a quantia determinada, printa as informacoes e por fim destrava a conta\r\n\t\tlock.lock();\r\n\t\ttry {//tenta colocar a thread em sleep com o valor padrao definido, caso nao consiga, interrompe a thread e imprime o codigo da excecao\r\n\t\t\tif(account.getBalance() == 0) {\r\n\t\t\t\taccount.setBalance(account.getBalance() + sponsor.getPull());\r\n\t\t\t\tsponsor.setNumberOfPulls(sponsor.getNumberOfPulls() + 1);\r\n\t\t\t\tsponsor.setBalance(sponsor.getBalance() - sponsor.getPull());\r\n\t\t\t\tSystem.out.println(\"\\n\\nThread: \" + Thread.currentThread().getName() + \" - Accounts new Balance: \" + account.getBalance());\r\n\t\t\t\tSystem.out.println(\"Threads new Balance: \" + sponsor.getBalance() + \"\\n\\n\");\r\n\t\t\t\tthreadSync(sponsor, account);\r\n\t\t\t}\r\n\r\n\t\t} finally {//destrava a conta para uso de outras threads\r\n\t\t\tlock.unlock();\r\n\t\t}\r\n\t}","public long deposit(long amount) {\n balance += amount;\n return balance;\n }","private void depositBank() throws InterruptedException{\n\n log(\"banking!\");\n if(!getBank().isOpen()){\n getBank().open();\n Timing.waitCondition(() -> getBank().isOpen(), 5000);\n }else{\n getBank().depositAllExcept(item -> item.getName().endsWith(\" axe\"));\n\n }\n\n }","public static void main(String[] args) throws InterruptedException {\n // Mostramos el saldo inicial\n System.out.println(\"Saldo inicial: \"+c.getDinero());\n // Iniciamos los hilos de ingreso y extracción\n Thread h1 = new Ingreso();\n h1.start();\n Thread h2 = new Extraccion();\n h2.start();\n // Esperamos a que terminen para comprobar el saldo final\n h1.join();\n h2.join();\n // Mostramos el saldo final\n System.out.println(\"Saldo total: \"+c.getDinero());\n }","boolean deposit(UUID name, double amount);","@Override\n public void run() {\n for (int amount : amounts) {\n synchronized (from) {\n synchronized (to) {\n from.addMoney(-amount);\n to.addMoney(amount);\n }\n }\n }\n }","public void deposit(double amount) \n\t{\n\t\tbalance += amount;\n\t}","void deposit(int value)//To deposit money from the account\n {\n balance += value;\n }","void executeWithinLocks(Consumer<MoneyTransferRequest> consumer, MoneyTransferRequest request);","public static void main(String[] args) {\n\n Hashtable balance = new Hashtable();\n Enumeration names;\n String str;\n double bal;\n\n balance.put(\"Zara\", new Double(54700));\n balance.put(\"Mahnaz\", new Double(123.22));\n balance.put(\"Ayan\", new Double(1378.00));\n balance.put(\"Daisy\", new Double(99.22));\n balance.put(\"Qadir\", new Double(-19.08));\n\n names = balance.keys();\n while (names.hasMoreElements()) {\n str = (String) names.nextElement();\n System.out.println(str + \": \" + balance.get(str));\n }\n System.out.println();\n\n // Deposit 10000 into Zara's account\n bal = ((Double) balance.get(\"Zara\")).doubleValue();\n balance.put(\"Zara\", new Double(bal + 10000));\n System.out.println(\"Zara's new balance: \" + balance.get(\"Zara\"));\n }","public void deposit(double amount) {\n balance = balance + amount + 10;\n }","public void deposit(double amount){\n\t\tbalance += amount;\n\t}","public static void main(String[] args) {\n\t\t\n\t\tBanking s1 = AccountFactory.openSavingAccount(\"Polo\");\n\t\ttry {\n\t\t\ts1.withdraw(2000);\n\t\t} catch (BalanceException e) {\n\t\t\t//e.printStackTrace(); \t//For debugging - used by developers\n\t\t\t//System.out.println(e); \t//used for loggers\n\t\t\tSystem.out.println(e.getMessage()); \t//for end user\n\t\t}\n\t\t\n\t\ts1.deposit(3000);\n//\t\ts1.withdraw(2000);\n//\t\ts1.deposit(4000);\n//\t\t\n//\t\ts1.statement();\n\t\t\n\n\t}","public void deposit() throws IOException, ClassNotFoundException {\r\n System.out.println(\"Enter an amount to deposit \");\r\n float depositedAmount = (float)this.input.nextDouble();\r\n if (depositedAmount < 5.0F) {\r\n System.out.println(\"enter amount greater or equal to N$ 5\");\r\n this.repeatDeposit(); // Calling the Mentioned Function\r\n }\r\n\r\n this.balance += depositedAmount;\r\n this.transaction = depositedAmount;\r\n System.out.println(\"You have Successfully Deposited: N$\" + this.transaction);\r\n System.out.printf(\"New Balance: N$%.2f\", this.balance);\r\n this.repeatDeposit(); // Calling the Mentioned Function\r\n this.coinDisbursed(); // Calling the Mentioned Function\r\n }","private void doDeposit() {\n System.out.println(\"How much do you want to deposit?\");\n boolean keepgoing = true;\n int amount = -1;\n while (keepgoing) {\n amount = input.nextInt();\n if (amount > 0) {\n keepgoing = false;\n pickedAccount.deposit(amount);\n }\n }\n System.out.println(\"deposited \" + amount + \" $\");\n }","@Override\n protected void withdraw(int request, boolean isOverdraft){\n if(request>0){\n request += SERVICE_FEE;\n }\n //need to change both balances just in case there was a LARGE_DEPOSIT \n //making it so that the 2 balance values differ\n setBalance(getBalance() - request);\n setBalanceAvailable(getBalanceAvailable() - request);\n }","public void deposit(double amount) {\n this.balance += amount;\n }","private void sendBucks() {\n\t\tconsole.printUsers(userService.getAll(currentUser.getToken()));\n\t\tSystem.out.println(\"\");\n\n\t\tBoolean validResponse = false;\n\t\tint selectedUserId = -1;\n\t\tBigDecimal transferAmount = new BigDecimal(0);\n\t\tBigDecimal zero = new BigDecimal(0);\n\t\tBigDecimal currentBalance = (accountService.getAccountBalance(currentUser.getToken()));\n\t\tTransfer transfer = new Transfer();\n\n\t\twhile (true) {\n\t\t\t// ask which user you want to send money to or exit\n\t\t\tselectedUserId = console.getUserInputInteger(\"Enter ID of user you are sending to (0 to cancel)\");\n\t\t\tif (selectedUserId == 0) {\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\tif (selectedUserId > 0 && selectedUserId <= userService.getAll(currentUser.getToken()).length) {\n\t\t\t\t// prompt for amount to send\n\t\t\t\ttransferAmount = console.getUserInputBigDecimal(\"Enter amount\");\n\t\t\t\t// transfer money\n\n\t\t\t\tif (transferAmount.compareTo(zero) == 1 && transferAmount.compareTo(currentBalance) <= 0) {\n\n\t\t\t\t\ttransfer.setFromUserId(currentUser.getUser().getId());\n\t\t\t\t\ttransfer.setToUserId(selectedUserId);\n\t\t\t\t\ttransfer.setTransferAmount(transferAmount);\n\t\t\t\t\ttransfer.setStatusOfTransferId(2);\n\t\t\t\t\ttransfer.setTypeOfTransferId(2);\n\n\t\t\t\t\t\n\t\t\t\t\ttransferService.createTransfer(currentUser.getToken(), transfer);\n\t\t\t\t\tSystem.out.println(\"\\nTransfer Complete!\");\n\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\n\t\t\t\tSystem.out.println(\"\\nInsufficient Funds! Please try again.\\n\");\n\n\t\t\t}\n\t\t}\n\n\t}","public void Deposit(double ammount){\n abal = ammount + abal;\n UpdateDB();\n }","public void withdraw(double amount)\n throws InterruptedException\n {\n balanceChangeLock.lock();\n try\n {\n while (balance < amount)\n sufficientFundsCondition.await();\n System.out.print(\"Sacando \" + amount);\n double newBalance = balance - amount;\n System.out.println(\", novo saldo igual a \" + newBalance);\n balance = newBalance;\n }\n finally\n {\n balanceChangeLock.unlock();\n }\n }","@Override\n public void deposit(int accountId, long amount) {\n if(!accounts.containsKey(accountId)){\n throw new IllegalArgumentException(\"Account \" + accountId + \" does not exist in this Bank.\");\n }\n else{\n synchronized (accounts.get(accountId)){\n accounts.get(accountId).deposit(amount);\n }\n }\n }","@Override\r\n\tpublic void deposit(int amount) {\n\t\t\r\n\t}","@Override\n public void transfer(int fromId, int toId, long amount) {\n synchronized (accounts.get(fromId)){\n synchronized (accounts.get(toId)){\n try {\n accounts.get(fromId).withdraw(amount);\n accounts.get(toId).deposit(amount);\n } catch (InsufficientFundsException e) {\n //Swallow the error and do nothing\n }\n\n }\n }\n }","@Override\n public void transferLockingAccounts(int fromId, int toId, long amount) throws InsufficientFundsException {\n Account fromAccount = accounts.get(fromId);\n Account toAccount = accounts.get(toId);\n synchronized (fromAccount) {\n fromAccount.withdraw(amount);\n }\n synchronized (toAccount) {\n toAccount.deposit(amount);\n }\n }","public void deposit(double value){\r\n balance += value;\r\n}","public void transferToChecking(double amount){\n withdrawSavings(amount);\r\n depositChecking(amount);\r\n }","@Test\n public void testImpossible2TransferMoney() {\n Bank bank = new Bank();\n User user = new User(\"Petr\", \"0000 000000\");\n AccountOfUser acc = new AccountOfUser(0, \"0000 0000 0000 0001\");\n bank.addUser(user);\n bank.addAccountToUser(user.getPassport(), acc);\n assertThat(bank.transferMoney(user.getPassport(), \"0000 0000 0000 0000\", user.getPassport(), acc.getRequisites(), 100), is(false));\n }","void deposit (double depositAmount, String userName) {\n\t\tBankAccountRepositoryJdbc bar = new BankAccountRepositoryJdbc();\n\t\tbalance = bar.getBalance(userName);\n\t\t\n\t\ttry {\n\t\t\tif(depositAmount != 0) {\n\t\t\t\tif(depositAmount > 0) {\n\t\t\t\t\tbalance = balance+depositAmount;\n\t\t\t\t\taccount.setBalance(balance);\n\t\t\t\t\taccount.setUsername(userName);\n\t\t\t\t\tbar.updateAccount(account);\n\t\t\t\t} else {\n\t\t\t\t\tthrow new NegativeAmountDepositException (\"You attempted to deposit a negative amount.\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tcatch (NegativeAmountDepositException e) {\n\t\t\tLOGGER.info(e);\n\t\t}\n\t}","public boolean transferMoney(Account fromAcct, Account toAcct, DollarAmount amount,\n long timeout, TimeUnit unit)\n throws DollarAmount.InsufficientFundsException, InterruptedException {\n long stopTime = System.nanoTime() + unit.toNanos(timeout);\n\n for (; ; ) {\n if (fromAcct.lock.tryLock()) {\n try {\n if (toAcct.lock.tryLock()) {\n try {\n if (fromAcct.getBalance().compareTo(amount) < 0) {\n throw new DollarAmount.InsufficientFundsException();\n } else {\n fromAcct.debit(amount);\n toAcct.credit(amount);\n return true;\n }\n } finally {\n toAcct.lock.unlock();\n }\n }\n } finally {\n fromAcct.lock.unlock();\n }\n }\n\n if (System.nanoTime() > stopTime)\n return false;\n\n// TimeUnit.NANOSECONDS.sleep(fixedDelay + rnd.nextLong() % randMod);\n }\n }","public static void main(String[] args) {\n SavingAccount savings = new SavingAccount(1112, 200);\r\n CheckingAccount checking = new CheckingAccount(1113, 200, -200);\r\n\r\n //account.setAnnualInterestRate(4.5);\r\n savings.setAnnualInterestRate(4.5);\r\n checking.setAnnualInterestRate(4.5);\r\n\r\n\r\n //account.withdraw(250);\r\n //account.deposit(30);\r\n //System.out.println(account.toString());\r\n\r\n\r\n\r\n\r\n checking.withdraw(250);\r\n checking.deposit(30);\r\n System.out.println(checking.toString());\r\n\r\n savings.withdraw(2504);\r\n savings.deposit(30);\r\n System.out.println(savings.toString());\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n }","public synchronized void addToDonations(int amount){\n\t\ttotalDonations = totalDonations + amount;\n\t\t//System.out.println(\"Total Donations: \" +totalDonations);\n\t}","public void nonSyncdeposit(double amount)\r\n\t {\r\n\t if(amount<0){//if deposit amount is negative\r\n\t \t System.out.println(\"Invalid amount cannot deposit\");\r\n\t }\r\n\t else{ //logic to deposit amount\r\n\t\t System.out.print(\"Depositing \" + amount);\r\n\t double newBalance = balance + amount;\r\n\t System.out.println(\", new balance is \" + newBalance);\r\n\t balance = newBalance;\r\n\t }\r\n\t }","public void deposit(double amount) {\n\t\tbalance += amount;\n\t}","public void deposit(double amount) {\n\t\tbalance += amount;\n\t}","public int deposit(int depositAmmount);","@Override\n\tvoid deposit(double amount) {\n\t\tsuper.balance += amount - 20;\n\t}","public void deposit(int depositAmount)\r\n {\n this.balance += depositAmount;\r\n System.out.println(\"Deposit of \" + depositAmount + \" made. New Balance is \" + this.balance);\r\n }","@Override\n public void makeDeposit(BigInteger account, BigDecimal amount) {\n Account accountDeposit = accountDao.getAccountByIban(account);\n accountDeposit.setBalance(accountDeposit.getBalance().add(amount));\n accountDao.updateAccount(accountDeposit);\n\n transactionDao.storeTransaction(new Transaction(null, account, amount, TransactionType.DEPOSIT));\n }","public static void main(String[] args) {\n\t\tBankAccount yoon = new BankAccount();\n\t\tyoon.initAccount(\"1234\", \"1111-1111\", 10000);\n\t\t\n\t\tBankAccount park = new BankAccount();\n\t\tpark.initAccount(\"4321\",\"2222-1111\", 20000);\n\t\t\n\t\tyoon.deposit(5000);\n\t\tpark.deposit(3000);\n\t\t\n\t\tyoon.withdraw(1000);\n\t\tpark.withdraw(2000);\n\t\t\n\t\tyoon.checkMyBalance();\n\t\tpark.checkMyBalance();\n\t}","public void ventaBilleteMaquina1()\n {\n maquina1.insertMoney(500);\n maquina1.printTicket();\n }","public static void main(String[] args) {\n\t\t Scanner input=new Scanner(System.in);//Input through Scanner Class\n\t\t System.out.println(\"You have Rs 500 in account\"); \n\t\t System.out.println(\"Enter the amount to be withdrawed\");\n\t\t int amount = input.nextInt();\n\t\t //Enter the amount \n\t\t CurrentAccount deposit=new CurrentAccount();\n\t\t payment(deposit, amount);\n\t\t //Withdraw the amount from bank\n\t\t System.out.println(\"Enter the amount to be deposited\");\n\t\t amount = input.nextInt();\n\t deposit(new SavingsAccount(), amount);\n //Deposit the amount bank\n }","public void deposit(int amount)\n {\n setBalance(getBalance()+amount);\n }","void joinBill(Bill toJoin);","@Test\n public void testBuyTwoGetOneFree_1() throws Exception {\n Product apple = new Product(\n \"Apple\",\n \"SKU-0003\",\n ToMoney.from(\n Composite.function(Multiply.by(40),\n BinaryFunctionUnaryFunction.adapt(new UnaryCompositeBinaryFunction<Number, Number, Number>(Subtract.instance(),\n new Identity<Number>(),\n Divide.by(3))))));\n\n assertEquals(new Money(0*40),apple.getPrice(0));\n assertEquals(new Money(1*40),apple.getPrice(1));\n assertEquals(new Money(2*40),apple.getPrice(2));\n assertEquals(new Money(2*40),apple.getPrice(3));\n assertEquals(new Money(3*40),apple.getPrice(4));\n assertEquals(new Money(4*40),apple.getPrice(5));\n assertEquals(new Money(4*40),apple.getPrice(6));\n assertEquals(new Money(5*40),apple.getPrice(7));\n assertEquals(new Money(6*40),apple.getPrice(8));\n assertEquals(new Money(6*40),apple.getPrice(9));\n assertEquals(new Money(7*40),apple.getPrice(10));\n }","public static void main(String[] args) {\n\t\tIAccount accountObjWithSavingsAcc=new SavingsAccount();\n\t\t\n\t\taccountObjWithSavingsAcc.depositAmount(100000);\n\t}","public void makeDposit(String accountName, Transaction deposit){\n for (int i=0; i<=accounts.size();i++)\n {\n if (accounts.get(i).name.equals(accountName))\n {\n// found = true;\n this.accounts.get(i).makeTransaction(deposit);\n return;\n }\n }\n System.out.println(\"account not found\");\n }","@Override\n\tpublic Void call() throws Exception {\n\t\tlong money = ThreadLocalRandom.current().nextLong(0,21);\n\t\tUtility.p(callType + \" processing \" + money);\n\t\ttry {\n\t\tswitch ( callType ){\n\t\tcase myAccountYourAccount:\n\t\t\tlock.transferMoneyBad(myAccount,yourAccount,money);\n\t\t\tUtility.p(\"result myAccount:\" + myAccount );\n\t\t\tUtility.p(\"result yourAccount:\" + yourAccount);\n\t\t\tbreak;\n\t\tcase yourAccountMyAccount:\n\t\t\tlock.transferMoneyBad(yourAccount,myAccount,money);\n\t\t\tUtility.p(\"result yourAccount:\" + yourAccount);\n\t\t\tUtility.p(\"result myAccount:\" + myAccount );\n\t\t\tbreak;\n\t\tcase myAccountYourAccountHash:\n\t\t\tlock.transferMoney(myAccount,yourAccount,money);\n\t\t\tUtility.p(\"result myAccount:\" + myAccount );\n\t\t\tUtility.p(\"result yourAccount:\" + yourAccount);\n\t\t\tbreak;\n\t\tcase yourAccountMyAccountHash:\n\t\t\tlock.transferMoney(yourAccount,myAccount,money);\n\t\t\tUtility.p(\"result yourAccount:\" + yourAccount);\n\t\t\tUtility.p(\"result myAccount:\" + myAccount );\n\t\t\tbreak;\n\t\tdefault:\n\t\t\tUtility.p(\"illegal type:\" + callType);\n\t\t\tthrow new IllegalArgumentException();\n\t\t}\n\t\treturn null;\n\t}finally {\n\t\tUtility.p(\"exiting\");\n\t}\n\t}","private void automaticPayment(String accountName, String reciever, String billName, final int amount, String date) {\n Log.d(TAG, \"makeTransaction: Has been called\");\n final DocumentReference senderDocRef = db.collection(\"users\").document(user.getEmail())\n .collection(\"accounts\").document(accountName);\n\n final DocumentReference recieverDocRef = db.collection(\"companies\").document(reciever);\n\n final DocumentReference billDocRef = db.collection(\"companies\").document(reciever).collection(\"customer\")\n .document(user.getEmail()).collection(\"bills\").document(billName);\n\n db.runTransaction(new Transaction.Function<Void>() {\n @Override\n public Void apply(Transaction transaction) throws FirebaseFirestoreException {\n DocumentSnapshot sender = transaction.get(senderDocRef);\n DocumentSnapshot reciever = transaction.get(recieverDocRef);\n\n\n int senderBalance = sender.getLong(\"balance\").intValue();\n int recieverBalance = reciever.getLong(\"amount\").intValue();\n int transactionBalance = Math.abs(amount);\n\n if (senderBalance >= transactionBalance) {\n transaction.update(senderDocRef, \"balance\", senderBalance - transactionBalance);\n transaction.update(recieverDocRef, \"amount\", recieverBalance + transactionBalance);\n transaction.update(billDocRef, \"isPaid\", true);\n\n\n SimpleDateFormat dateformat = new SimpleDateFormat(\"dd-MM-yyyy\");\n Date newDate = new Date();\n Calendar cal = Calendar.getInstance();\n cal.setTime(newDate);\n cal.add(Calendar.MONTH, 1);\n newDate = cal.getTime();\n transaction.update(billDocRef, \"recurring\", dateformat.format(newDate));\n } else {\n Log.d(TAG, \"apply: Transaction ikke fuldført\");\n }\n\n // Success\n return null;\n }\n }).addOnSuccessListener(new OnSuccessListener<Void>() {\n @Override\n public void onSuccess(Void aVoid) {\n Log.d(TAG, \"Transaction success!\");\n }\n })\n .addOnFailureListener(new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n Log.w(TAG, \"Transaction failure.\", e);\n }\n });\n\n }","public void deposit (int amount) {\n if (amount >= 0) {\n balance = balance + amount;\n valueDeposits = valueDeposits + amount;\n if (balance > maximumBalance) {\n maximumBalance = balance;\n }\n }\n }","private void makeTransfer(String withdrawAmt, String depositAcct){\n //assume this will come as numbers only (Keyboard restricted to numbers)\n Double transferAmt = Double.valueOf(withdrawAmt);\n\n //make transfer\n customer.transferFund(currAcctName, depositAcct, transferAmt);\n\n //reset transfer value\n ((EditText)findViewById(R.id.transferAmt)).setText(\"\");\n\n //update balance\n ((TextView) findViewById(R.id.fromAmt)).setText(customer.getBalanceString(currAcctName));\n }","void withdraw(double amount) {\n try {Thread.sleep(10l);} catch (InterruptedException e) {}\r\n balance -= amount;\r\n System.out.println(\"Inside withdraw\"+ balance);\r\n }","public void deposit (double amount)\n {\n imposeTransactionFee ();\n super.deposit (amount);\n }","public static void main(String[] args) throws Exception {\n Scanner scanner = new Scanner(System.in);\n\n currentAccounts.put(\"Jennifer\", 100.00);\n currentAccounts.put(\"Ben\", 30.00);\n\n\n while (true) {\n\n System.out.println(\"\\nWelcome!\");\n System.out.println(\"Please enter your account name?\");\n\n String account = scanner.nextLine();\n\n\n if (!currentAccounts.containsKey(account)) {\n System.out.println(\"You do not currently have an account.\\n Would you like to create one? [y/n]\");\n String newAccount = scanner.nextLine();\n\n if (newAccount.equalsIgnoreCase(\"y\")) {\n currentAccounts.put(account, 0.00);\n System.out.println(\"Your account has been created. \" +\n \"Your current balance is $\" + currentAccounts.get(account));\n\n } else {\n System.out.println(\"Thank you\");\n continue;\n }\n } else {\n System.out.println(\"Hello \" + account + \"!\");\n\n }\n\n int session = 1;\n while (session == 1) {\n\n double balance = currentAccounts.get(account);\n\n System.out.println(\"\\nWhat would you like to do today?\\n\" +\n \"1. Check my balance\\n\" +\n \"2. Make a withdrawal\\n\" +\n \"3. Make a deposit\\n\" +\n \"4. Transfer funds\\n\" +\n \"5. Cancel my account\\n\" +\n \"6. Log out\");\n\n int activity = scanner.nextInt();\n\n switch (activity) {\n case 1:\n System.out.println(\"Your current balance is \" + balance);\n break;\n\n case 2:\n System.out.println(\"How much would you like to withdraw today?\");\n int withdrawAmount = scanner.nextInt(); // want to bring over from atm class, but cant figure out how to bring over balance\n\n if (withdrawAmount > balance) {\n System.out.println(\"You do not have enough money.\"); // changed this to error because exception can't continue the loop?\n break;\n } else if (withdrawAmount % 5 != 0) {\n System.out.println(\"Please enter in multiples of $5, $10 or $20\");\n break;\n } else {\n System.out.println(\"Please take your $\" + withdrawAmount);\n currentAccounts.put(account, currentAccounts.get(account) - withdrawAmount);\n System.out.println(\"Your current balance is $\" + (balance - withdrawAmount));\n break;\n }\n\n case 3:\n System.out.println(\"How much would you like to deposit today?\");\n int depositAmount = scanner.nextInt();\n\n System.out.println(\"You have deposited $\" + depositAmount);\n System.out.println(\"Your current balance is $\" + (balance + depositAmount));\n currentAccounts.put(account, currentAccounts.get(account) + depositAmount);\n break;\n\n case 4:\n scanner.nextLine(); // if i don't have this then it's taking inputs from before, this way it refreshes the input\n System.out.println(\"Enter the account name to which you wish to transfer funds.\");\n String accountTransfer = scanner.nextLine();\n\n System.out.println(\"Enter the amount you would like to transfer.\");\n double transferAmount = scanner.nextInt();\n\n // add or subtract transfer amount from hashmap\n currentAccounts.put(account, currentAccounts.get(account) - transferAmount);\n currentAccounts.put(accountTransfer, currentAccounts.get(accountTransfer) + transferAmount);\n\n System.out.println(\"Your current balance is now $\" + currentAccounts.get(account));\n break;\n\n case 5: //\n System.out.println(\"Are you sure you want to cancel your account today [y/n]?\");\n scanner.nextLine(); // if i don't have this then it's taking inputs from before. This way it input refreshes.\n String cancel = scanner.nextLine();\n\n if (cancel.equalsIgnoreCase(\"y\")) {\n currentAccounts.remove(account);\n System.out.println(\"We are sorry to see you go\");\n session = 0;\n } else {\n System.out.println(\"Great, you are a valued customer.\");\n }\n break;\n\n case 6:\n System.out.println(\"Thank you and please come again.\");\n session = 0;\n scanner.nextLine(); // if i don't have this then it's taking inputs from before, this way it refreshes the input\n break;\n }\n\n\n }\n\n\n }\n }"],"string":"[\n \"public static void main(String[] args) {\\n Random rand = new Random();\\n rand.setSeed(0);\\n for (int run = 0; run < 1000 * 1000; run++) {\\n // Generate 2 arrays of 50 amounts.\\n final int NUM = 50;\\n int difference = 0;\\n int[] amounts1 = new int[50];\\n int[] amounts2 = new int[50];\\n for (int i = 0; i < NUM; i++) {\\n amounts1[i] = rand.nextInt(500);\\n amounts2[i] = rand.nextInt(500);\\n difference -= amounts1[i];\\n difference += amounts2[i];\\n }\\n\\n // Make some accounts.\\n Account a = new Account(0);\\n Account b = new Account(1);\\n\\n // Run some transfer threads on the accounts.\\n Thread[] threads = new Thread[] {\\n new Thread(new Transfer(a, amounts1, b), \\\"Thread-1\\\"),\\n new Thread(new Transfer(b, amounts2, a), \\\"Thread-2\\\"),\\n };\\n\\n for (Thread thread : threads) {\\n thread.start();\\n }\\n\\n // Wait for them to finish.\\n for (Thread thread : threads) {\\n try {\\n thread.join();\\n } catch (InterruptedException e) {\\n e.printStackTrace();\\n }\\n }\\n\\n // See if we got it right.\\n if (a.getBalance() != -b.getBalance() ||\\n a.getBalance() != difference ||\\n b.getBalance() != -difference) {\\n System.out.printf(\\\"Balances were %d & %d, supposed to be %d & %d\\\\n\\\",\\n a.getBalance(), b.getBalance(),\\n difference, -difference);\\n }\\n }\\n }\",\n \"@Override\\n\\tpublic void run() {\\n\\t\\tAccount account = accountList.get(this.acc_id);\\n\\t\\tswitch (this.tr_id) {// 0 = deposit; 1 = withdraw; 2 = transferFunds;\\n\\t\\tcase 0: //Deposit\\n\\t\\t\\tSystem.out.println(Thread.currentThread().getName() + \\\" is helping Department ID \\\" + this.dept_id + \\\" in making a deposit of € \\\" + this.amt + \\\" to Account ID \\\"\\n\\t\\t\\t\\t\\t+ this.acc_id);\\n\\t\\t\\taccount.deposit(account, this.amt);\\n\\t\\t\\tbreak;\\n\\t\\tcase 1: //Withdraw\\n\\t\\t\\tSystem.out.println(Thread.currentThread().getName() + \\\" is helping Department ID \\\" + this.dept_id + \\\" in making a withdrawal of € \\\" + this.amt\\n\\t\\t\\t\\t\\t+ \\\" from Account ID \\\" + this.acc_id);\\n\\t\\t\\taccount.withdraw(account, this.amt);\\n\\t\\t\\tbreak;\\n\\t\\tcase 2: //TransferFunds\\n\\t\\t\\tSystem.out.println(Thread.currentThread().getName() + \\\" is helping Department ID \\\" + this.dept_id + \\\" in making a transfer of € \\\" + this.amt\\n\\t\\t\\t\\t\\t+ \\\" from Account ID \\\" + this.acc_id + \\\" to Account ID \\\" + this.acc_id_second);\\n\\t\\t\\tAccount destinationAccount = accountList.get(this.acc_id_second);\\n\\t\\t\\taccount.transferFunds(account, destinationAccount, this.amt);\\n\\t\\t\\tbreak;\\n\\t\\t}\\n\\t}\",\n \"public static void main(String[] args) {\\n\\t\\tBankAccount first=new BankAccount(123456);\\r\\n\\t\\tBankAccount second=new BankAccount(234567);\\r\\n\\t\\t\\r\\n\\t\\tfirst.deposit(900);\\r\\n\\t\\t\\r\\n\\t\\tSystem.out.println(first.balance);\\r\\n\\t\\tSystem.out.println(second.balance);\\r\\n\\t\\t\\r\\n\\t\\tfirst.transfer(second, 100);\\r\\n\\t\\tSystem.out.println(first.balance);\\r\\n\\t\\tSystem.out.println(second.balance);\\r\\n\\t}\",\n \"public void secondThread() throws InterruptedException {\\n\\t\\t\\n\\t\\tRandom random = new Random();\\n\\t\\tfor(int i = 0; i < 1000; i++) {\\n\\t\\t\\t/*lock1.lock();\\n\\t\\t\\tlock2.lock();*/\\n\\t\\t\\tacquireLocks(lock2, lock1);\\n\\t\\t\\tAccount.transfer(a2, a1, random.nextInt(100));\\n\\t\\t\\tlock1.unlock();\\n\\t\\t\\tlock2.unlock();\\n\\t\\t}\\n\\t}\",\n \"public static void main(String[] args) {\\n\\n entityManager.getTransaction().begin();\\n\\n\\n\\n Account account1 = entityManager.createQuery(\\\"from Account where accountNr = 1\\\", Account.class).getSingleResult();\\n Account account2 = entityManager.createQuery(\\\"from Account where accountNr = 2\\\", Account.class).getSingleResult();\\n\\n account1.setBalance(1000);\\n account2.setBalance(1000);\\n\\n entityManager.getTransaction().commit();\\n\\n System.out.println(entityManager.createQuery(\\\"from Account\\\").getResultList());\\n\\n new Thread(() -> {\\n\\n entityManager.getTransaction().begin();\\n\\n Account account = entityManager.createQuery(\\\"from Account where accountNr = 1\\\", Account.class).getSingleResult();\\n\\n try {\\n Thread.sleep(1000);\\n }\\n catch (InterruptedException e) {\\n e.printStackTrace();\\n }\\n\\n account.withdraw(1000);\\n System.out.println(entityManager.createQuery(\\\"from Account\\\").getResultList());\\n\\n entityManager.getTransaction().commit();\\n\\n }).run();\\n\\n new Thread(() -> {\\n\\n entityManager2.getTransaction().begin();\\n\\n Account account = entityManager.createQuery(\\\"from Account where accountNr = 1\\\", Account.class).getSingleResult();\\n\\n try {\\n Thread.sleep(1000);\\n }\\n catch (InterruptedException e) {\\n e.printStackTrace();\\n }\\n\\n\\n account.withdraw(500);\\n System.out.println(entityManager.createQuery(\\\"from Account\\\").getResultList());\\n\\n entityManager2.getTransaction().begin();\\n\\n }).run();\\n\\n System.out.println(entityManager.createQuery(\\\"from Account\\\").getResultList());\\n\\n }\",\n \"public static void deposit(){\\n TOTALCMONEY = TOTALCMONEY + BALANCEDEPOSIT; //the cashier money equals the cashier money plus the amount that is being deposited\\r\\n BALANCE = BALANCE + BALANCEDEPOSIT; //the user balance equals the user balance plus the amount that is being deposited\\r\\n }\",\n \"@Override\\n\\t\\t\\tpublic void run() {\\n\\t\\t\\t\\ta1.deposit(1000);\\n\\t\\t\\t}\",\n \"public void makeDeposit() {\\n deposit();\\n }\",\n \"public void transferFunds(BankAccount account1, BankAccount account2, double amount){\\n if(account1.checkAccountOpen()&&account2.checkAccountOpen()){\\n if((account1.getCurrentBalance()-amount)>0) {\\n if (isSameAccount(account1, account2)) {\\n account1.subtractCreditTransaction(amount);\\n account2.addDebitTransaction(amount);\\n } else {\\n System.out.println(\\\"This transaction could not be processed. BankAccount owners are not the same.\\\");\\n }\\n }\\n else {\\n System.out.println(\\\"Appropriate funds not found. Please check your current balance.\\\");\\n }\\n\\n\\n }\\n }\",\n \"void deposit(double amount) {\\n try {Thread.sleep(10l);} catch (InterruptedException e) {}\\r\\n balance += amount;\\r\\n System.out.println(\\\"Inside deposit\\\"+ balance);\\r\\n }\",\n \"private void makeDeposit() {\\n\\t\\t\\r\\n\\t}\",\n \"public void firstThread() throws InterruptedException {\\n\\t\\t\\n\\t\\tRandom random = new Random();\\n\\t\\tfor(int i = 0; i < 1000; i++) {\\n\\t\\t\\t/*lock1.lock();\\n\\t\\t\\tlock2.lock();*/\\n\\t\\t\\t\\n\\t\\t\\tacquireLocks(lock1, lock2);\\n\\t\\t\\tAccount.transfer(a1, a2, random.nextInt(100));\\n\\t\\t\\tlock1.unlock();\\n\\t\\t\\tlock2.unlock();\\n\\t\\t}\\n\\t}\",\n \"private static void deposite (double amount) {\\n double resultDeposit = balance + amount;\\r\\n System.out.println(\\\"Deposit successful.\\\\nCurrent balance: \\\" + \\\"$\\\" + resultDeposit+ \\\".\\\");\\r\\n }\",\n \"public void testOneDeposit(){\\n\\t\\t//Pre-conditions\\n\\t\\tteller.setWorking(true);\\n\\t\\tteller.setHost(host);\\n\\t\\t\\n\\t\\tassertEquals(\\\"Teller's state should be free, but instead it is: \\\" + teller.getState(),\\\"Free\\\",teller.getState());\\n\\t\\tassertEquals(\\\"Teller's state should be free, but instead it is: \\\" + teller.getState(),\\\"Free\\\",teller.getState());\\n\\t\\tassertEquals(\\\"Teller should have no pending transactions, but it has: \\\" +teller.pendingTransactions.size(),0,teller.pendingTransactions.size());\\n\\t\\t\\n\\t\\tassertEquals(\\\"Teller should have no pending loans, but it has \\\" + teller.pendingLoans.size(),0,teller.pendingTransactions.size());\\n\\t\\tassertEquals(\\\"Teller should have no accountsListed, but it has \\\" + teller.accountsListed.size(),0,teller.accountsListed.size());\\n\\t\\t\\n\\t\\t//Step 0 of test - Host sends the teller a new account for the incoming customer\\n\\t\\tteller.msgHereIsAccount(new BankAccount(deposit,0));\\n\\t\\t\\n\\t\\t//Post-conditions of step 0 \\n\\t\\tassertEquals(\\\"Teller should have one account listed, instead it has \\\" + teller.accountsListed.size(),1,teller.accountsListed.size());\\n\\t\\tassertEquals(\\\"Teller's only account should have a balance of 0, instead it has \\\" + teller.accountsListed.get(0).getBalance(), \\n\\t\\t\\t\\t0.0,teller.accountsListed.get(0).getBalance());\\n\\t\\t\\n\\t\\t//Step 1 of test\\n\\t\\t//msgGoSeeTeller(Banker)\\n\\t\\tdeposit.msgGoSeeTeller(teller);\\n\\t\\t\\n\\t\\t//Post-conditions of step 1 \\n\\t\\tassertEquals(\\\"Teller's state should be busy, but instead it is: \\\" + teller.getState(),\\\"Busy\\\",teller.getState());\\n\\t\\tassertEquals(\\\"Teller should have one pending transaction, but it has: \\\" +teller.pendingTransactions.size(),\\n\\t\\t\\t\\t1,teller.pendingTransactions.size());\\n\\t\\tassertEquals(\\\"Teller's transaction should be to deposit 100 dollars, instead it is for \\\" + teller.pendingTransactions.get(deposit), \\n\\t\\t\\t\\t100.0, teller.pendingTransactions.get(deposit));\\n\\t\\t\\n\\t\\t//Step 2 of test\\n\\t\\tassertTrue(\\\"Teller's scheduler should return true, but it doesn't.\\\", teller.pickAndExecuteAnAction());\\n\\t\\t\\n\\t\\t//Post-conditions of step 2 \\n\\t\\tassertEquals(\\\"Teller's state should be free, but instead it is: \\\" + teller.getState(),\\\"Free\\\",teller.getState());\\n\\t\\tassertEquals(\\\"Teller should have no pending transactions, but it has: \\\" +teller.pendingTransactions.size(),0,teller.pendingTransactions.size());\\n\\t\\tassertTrue(\\\"Host's log should have a message stating \\\\\\\"Updated account, and added teller\\\\\\\", instead it reads: \\\" + host.log.getLastLoggedEvent().toString(), \\n\\t\\t\\t\\thost.log.containsString(\\\"Updated account, and added teller\\\"));\\n\\t\\tassertTrue(\\\"Customer's log should have a message stating \\\\\\\"Got 0.0 dollars, leaving bank.\\\\\\\", instead it reads: \\\" + deposit.log.getLastLoggedEvent().toString(),\\n\\t\\t\\t\\tdeposit.log.containsString(\\\"Got 0.0 dollars, leaving bank.\\\"));\\n\\t\\tassertEquals(\\\"Customer's account stored in teller should be updated with the correct balance of 100.0, instead it has \\\" + teller.accountsListed.get(0).getBalance(), 100.0, teller.accountsListed.get(0).getBalance());\\n\\t\\t\\n\\t}\",\n \"private void doDeposit() {\\n while (true){\\n try{\\n Account userAccount = ui.readAccount(currentUser.getAccounts());\\n int amountDeposited = ui.takeDepositEnvelope();\\n userAccount.credit(amountDeposited);\\n ui.deliverMoney(amountDeposited);\\n ui.displayNewBalance(userAccount);\\n break;\\n\\n } catch (Exception e){\\n ui.displayError(\\\"Please enter a valid number.\\\");\\n }\\n }\\n\\n\\n }\",\n \"public static void main(String[] args) {\\n Bank bank = new Bank();\\n\\n bank.addAccount(new Account(\\\"Acc_01\\\", 100));\\n bank.addAccount(new Account(\\\"Acc_02\\\", 120));\\n bank.addAccount(new Account(\\\"Acc_03\\\", 50));\\n\\n Client client1 = new Client(bank, \\\"Acc_01\\\", new ArrayList<>(Arrays.asList(\\\"-50\\\", \\\"+20\\\", \\\"-90\\\", \\\"-50\\\")));\\n Client client2 = new Client(bank, \\\"Acc_01\\\", new ArrayList<>(Arrays.asList(\\\"+10\\\", \\\"-30\\\", \\\"-45\\\", \\\"+20\\\")));\\n\\n new Thread(client1).start();\\n new Thread(client2).start();\\n\\n }\",\n \"@Override\\n\\tvoid make_deposit(DataStore ds){\\n\\tds.setbalancedepositAccount1(ds.getbalanceAccount1_temp()+ds.getdepositAccount1());\\n\\t}\",\n \"public void ventaBilleteMaquina2()\\n {\\n maquina2.insertMoney(600);\\n maquina1.printTicket();\\n }\",\n \"public static void main(String[] args) {\\n\\n\\t\\tDemo dem = new Demo();\\n\\t\\tBigDecimal initialDeposit = new BigDecimal(0);\\n\\n\\t\\tPerson customer1 = dem.addPerson(\\\"Ade\\\", \\\"104 Lane Dr\\\", 28738);\\n\\t\\tdem.customers.put(dem.custTracker, customer1);\\n\\t\\tBigDecimal startingNum1 = new BigDecimal(100);\\n\\t\\tCustomer customer2 = dem.addPerson(\\\"Jane\\\", \\\"104 Lane Dr\\\", 43436);\\n\\t\\tdem.customers.put(dem.custTracker, customer2);\\n\\t\\tBigDecimal startingNum2 = new BigDecimal(30);\\n\\t\\tCompany company1 = dem.addCompany(\\\"This Company\\\", \\\"3948 Lego Ln\\\", 76858);\\n\\t\\tdem.customers.put(dem.custTracker, company1);\\n\\t\\tBigDecimal startingNum3 = new BigDecimal(30124);\\n\\t\\t\\n\\t\\t\\n\\n\\t\\tSavings forcustomer1 = dem.addSavAcc(startingNum1);\\n\\t\\tdem.accounts.put(dem.accTracker, forcustomer1);\\n\\t\\tCurrent forcustomer2 = dem.addCurrAcc(startingNum2, 5615652, 8744155); //saving first check num and next cheque num\\n\\t\\tdem.accounts.put(dem.accTracker, forcustomer2);\\n\\t\\tCurrent forcompany1 = dem.addCurrAcc(startingNum3, 52929526, 615651922);\\n\\t\\tdem.accounts.put(dem.accTracker, forcompany1);\\n\\n\\t\\tBigDecimal withdrawl = new BigDecimal(110); //testing no overdraft of savings\\n\\t\\tforcustomer1.withdraw(withdrawl);\\n\\t\\t\\n\\t\\tBigDecimal deposit = new BigDecimal(40); //test deposit method\\n\\t\\tforcustomer2.deposit(deposit);\\n\\t\\t\\n\\t\\tBigDecimal reset = new BigDecimal(1000);\\n\\t\\tcustomer1.reset(reset);\\n\\n\\t\\t\\n\\t\\tcompany1.add(deposit);\\n\\t\\t\\n\\t\\t\\n\\t\\t//company1.add(bd);\\n\\t\\t\\n\\t\\t//forcustomer2.overdraw(); // test overdraft fee method\\n\\t\\t\\n\\t\\t//BigDecimal correctbalance = new BigDecimal(1000); // test correction method\\n\\t\\t//forcustomer2.correction(correctbalance);\\n\\n\\t\\t\\n\\t\\t\\n\\t\\tSystem.out.println(dem.customers);\\n\\t\\tSystem.out.println(dem.accounts);\\n\\n\\t\\t// BigDecimal accBalance = new BigDecimal(0);\\n\\t\\t// currAcc.setBalance(accBalance); // okay it works. i guess. so thats good.\\n\\t\\t// System.out.println(currAcc.getBalance());\\n\\t\\t//\\n\\t\\t// accountSetUp(accBalance, 1000);\\n\\t}\",\n \"public void deposit(long amount) {\\n\\t\\n\\tbalance += amount;\\n\\t\\n\\tlog += \\\"Deposit made to this account in the ammount of \\\"+amount+\\\" on \\\"+date+\\\"\\\\n\\\";\\n\\tlog += log += \\\" Current balance is \\\"+balance+\\\" \\\\n\\\";\\n\\tupdate();\\n}\",\n \"public void deposit(double amount)\\n {\\n balanceChangeLock.lock();\\n try\\n {\\n System.out.print(\\\"Depositando \\\" + amount);\\n double newBalance = balance + amount;\\n System.out.println(\\\", novo saldo igual a \\\" + newBalance);\\n balance = newBalance;\\n sufficientFundsCondition.signalAll();\\n }\\n finally\\n {\\n balanceChangeLock.unlock();\\n }\\n }\",\n \"@Test\\n public void customerCanPerformTransferBetweenAccounts() {\\n String ownerId = \\\"ownerId\\\";\\n Account accountFrom = AccountFactory.createAccount(AccountFactory.AccountType.SAVINGS, ownerId);\\n Account accountTo = AccountFactory.createAccount(AccountFactory.AccountType.SAVINGS, ownerId);\\n\\n // Put some money in the from account\\n Transaction transaction = new Transaction.Builder().setDescription(\\\"Test\\\").setAmount(DollarAmount.fromInt(100)).setType(Transaction.Type.DEPOSIT).build();\\n accountFrom.applyTransaction(transaction);\\n assertEquals(accountFrom.getAccountBalance(), DollarAmount.fromInt(100));\\n\\n // Attempt transfer\\n Account.transfer(accountFrom, accountTo, DollarAmount.fromInt(30));\\n\\n // Assert transfer was successful\\n assertEquals(DollarAmount.fromInt(70), accountFrom.getAccountBalance());\\n assertEquals(DollarAmount.fromInt(30), accountTo.getAccountBalance());\\n }\",\n \"public void deposit(double amount)\\n {\\n startingBalance += amount;\\n }\",\n \"@Override\\n public int execute() throws InterruptedOperationException, CancelOperationException {\\n Logger logger = Log4j.getLogger();\\n int success = 0;\\n try {\\n String accountNumber = null;\\n BigDecimal amount = BigDecimal.ONE;\\n Transaction transaction;\\n LocalDateTime now;\\n String userId = BankApp.getCurrentUser().getUserId();\\n List<String> accountNumbers = accountDao.getAccountNumbers(userId);\\n ConsoleHelper.println(\\\"\\\");\\n ConsoleHelper.displayMenuBanner();\\n ConsoleHelper.printlnWithTab(\\\"[DEPOSIT]\\\");\\n ConsoleHelper.printAccountList();\\n\\n boolean isValidInput = false;\\n do {\\n ConsoleHelper.printWithTab(\\\"Into: \\\");\\n String input = ConsoleHelper.readString();\\n for (int i = 1; i <= accountNumbers.size(); i++) {\\n if (input.equals(String.valueOf(i))) {\\n accountNumber = accountNumbers.get(i - 1);\\n isValidInput = true;\\n break;\\n }\\n }\\n\\n } while (!isValidInput);\\n\\n isValidInput = false;\\n do {\\n ConsoleHelper.printWithTab(\\\"Amount: \\\");\\n String input = ConsoleHelper.readString();\\n try {\\n double inputValue = Double.parseDouble(input);\\n amount = BigDecimal.valueOf(inputValue);\\n int decimalPlaces = ConsoleHelper.getNumberOfDecimalPlaces(amount);\\n if (decimalPlaces == 0 && amount.compareTo(BigDecimal.valueOf(0)) > 0) {\\n isValidInput = true;\\n } else {\\n ConsoleHelper.printlnWithTab(\\\"Invalid amount, we only accept whole number deposit.\\\");\\n }\\n } catch (NumberFormatException e) {\\n // the amount format is not valid\\n }\\n } while (!isValidInput);\\n\\n int countAccount = accountDao.deposit(accountNumber, amount);\\n now = LocalDateTime.now();\\n Account account = accountDao.getAccount(accountNumber);\\n transaction = new Transaction(TransactionType.DEPOSIT, userId, now, amount, account);\\n int countTransaction = transactionDao.addTransaction(transaction);\\n success = countAccount == 1 && countTransaction == 1 ? 1 : 0;\\n if (success == 1) {\\n ConsoleHelper.printlnWithTab(\\\"Deposit completed.\\\");\\n ConsoleHelper.println(\\\"\\\");\\n } else {\\n ConsoleHelper.printlnWithTab(\\\"System failure, deposit cancelled. Please try later.\\\");\\n }\\n try {\\n Thread.sleep(1500);\\n } catch (InterruptedException e) {\\n logger.error(\\\"Interrupted Exception when thread sleep\\\", e);\\n }\\n } catch (CancelOperationException e) {\\n // do nothing, allow user to return to main menu\\n }\\n return success;\\n }\",\n \"private void deposit() {\\n userInput = 0;\\n while (userInput <= 0) {\\n System.out.printf(\\\"Din nuværende balance er: %.2f DKK\\\\n\\\" +\\n \\\"Indtast ønsket beløb at indsætte: \\\", balanceConverted);\\n\\n textMenuKey(false, \\\"\\\");\\n\\n if (userInput <= 0) {\\n System.out.println(\\\"Indtast et gyldigt beløb\\\");\\n }\\n }\\n\\n moneyController(userInput);\\n mysql.transactionUpdate(customerNumber, customerName, balance, userInput, \\\"Deposited\\\");\\n }\",\n \"@Override\\r\\n\\tpublic void run() {\\n\\t\\tfor(int i = 0; i < 100; i++){\\r\\n\\t\\t\\taccount.addAmount(1000);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public static void main(String[] args) \\n\\t{\\n\\t\\tExercise039 account1 = new Exercise039( 50.00 ); // create Exercise039 object\\n\\t\\tExercise039 account2 = new Exercise039( -7.53 ); // create Exercise039 object\\n\\t\\t\\n\\t\\t// display initial balance of each object\\n\\t\\tSystem.out.printf( \\\"account1 balance: $%.2f\\\\n\\\", account1.getBalance() );\\n\\t\\tSystem.out.printf( \\\"account2 balance: $%.2f\\\\n\\\\n\\\", account2.getBalance() );\\n\\t\\t\\n\\t\\t// create Scanner to obtain input from command window\\n\\t\\tScanner input = new Scanner ( System.in );\\n\\t\\tdouble withdrawAmount; // debit amount read from user\\n\\t\\t\\n\\t\\tSystem.out.print( \\\"Enter debit amount for account1: \\\" ); // prompt\\n\\t\\twithdrawAmount = input.nextDouble(); // obtain user input\\n\\t\\tSystem.out.printf(\\\"\\\\ndeducting %.2f from account1 balance\\\\n\\\\n\\\", withdrawAmount );\\n\\t\\taccount1.debit(withdrawAmount); // deduct from account1 balance\\n\\t\\t\\n\\t\\t// display balances\\n\\t\\tSystem.out.printf( \\\"account1 balance: $%.2f\\\\n\\\", account1.getBalance() );\\n\\t\\tSystem.out.printf( \\\"account2 balance: $%.2f\\\\n\\\\n\\\", account2.getBalance() );\\n\\t\\t\\n\\t\\tSystem.out.print( \\\"Enter withdraw amount for account2: \\\"); // prompt\\n\\t\\twithdrawAmount = input.nextDouble(); // obtain user input\\n\\t\\tSystem.out.printf( \\\"\\\\ndeducting %.2f from account2 balance\\\\n\\\\n\\\", withdrawAmount );\\n\\t\\taccount2.debit( withdrawAmount ); //deduct from account2 balance\\n\\t\\t\\n\\t\\t// display balances\\n\\t\\tSystem.out.printf( \\\"account1 balance: $%.2f\\\\n\\\", account1.getBalance() );\\n\\t\\tSystem.out.printf( \\\"account2 balance: $%.2f\\\\n\\\", account2.getBalance() );\\n\\t}\",\n \"public static void main(String[] args) throws InterruptedException {\\n Item item1 = new Item(\\\"Coca-cola\\\", 200);\\n System.out.println(\\\"Price before discount: \\\" + item1.getPrice());\\n System.out.println(\\\"Price after discount: \\\" + item1.calculateDiscount()); //should be same price, 200, there's no doscount for this type\\n\\n ItemWithDiscount item2 = new ItemWithDiscount(\\\"Coca-cola Zero\\\", 2.0);\\n System.out.println(\\\"\\\\nPrice before discount: \\\" + item2.getPrice());\\n item2.setDiscount(10);\\n System.out.println(\\\"Price after discount: \\\" + item2.calculateDiscount()); // 2 - 0.2 = 1.8\\n\\n\\n //CHECK BUY PAY DISCOUNT\\n BuyMorePayLess item04 = new BuyMorePayLess(\\\"Milk\\\", 10);\\n BuyMorePayLess item05 = new BuyMorePayLess(\\\"Milk\\\", 10);\\n BuyMorePayLess item06 = new BuyMorePayLess(\\\"Milk\\\", 1);\\n item04.setBuyPayOffer(3,2);\\n item04.calculateDiscount();\\n\\n //Check TakeItAll discount\\n ItemTakeItAll item07 = new ItemTakeItAll(\\\"Tuna\\\",5.00);\\n ItemTakeItAll item08 = new ItemTakeItAll(\\\"Tuna\\\",5.00);\\n\\n// item07.setDiscount(10);\\n item07.setMinimumNumber(1);\\n System.out.println(\\\"##################\\\" + item07.calculateDiscount());\\n\\n // USERS\\n LoyalCustomer customer01 = new LoyalCustomer(\\\"Giorgi Tsipuria\\\", \\\"giobaski\\\", \\\"123\\\",\\n \\\"Gonsiori 33\\\",\\\"55945239\\\");\\n\\n //B A S K E T S\\n Basket basket01 = new Basket(\\\"Tartu 46\\\", \\\"Kairi\\\", customer01);\\n basket01.insertItem(item1); //200 -> 200\\n basket01.insertItem(item2); // 2.0 -> 1.8\\n System.out.println(\\\"Total payment in basket: \\\" + basket01.caclulatePayment()); //201.8 + 201.8 * 0.1 = 221.98\\n\\n\\n\\n\\n\\n //1. Create Store\\n Store store = new Store(\\\"Raua 16\\\");\\n\\n //2. sign into store\\n Cashier currentCashier = store.cashierAuthentication();\\n\\n //3.\\n Menu currentMenu = store.openMenu();\\n\\n //4. new basket\\n currentMenu.openNewBasket(customer01);\\n\\n\\n //5.Cashier starts adding items into new basket\\n System.out.println(currentMenu.getBasket());\\n currentMenu.getBasket().insertItem(item1);\\n currentMenu.getBasket().insertItem(item2);\\n\\n\\n System.out.println(\\\"######Basket By ID:\\\");\\n currentMenu.printBasketInfoById(2);\\n System.out.println(\\\"########\\\");\\n\\n\\n //6. Calculate total price for the current basket\\n currentMenu.getBasket().caclulatePayment();\\n System.out.println(currentMenu.getBasket());\\n System.out.println(\\\"currents items: \\\");\\n System.out.println(currentMenu.getBasket().getItems());\\n\\n //7. Logout cashier\\n Thread.sleep(10000);\\n currentMenu.exit();\\n\\n\\n // Additional features\\n System.out.println(\\\"points of the loyal customer: \\\" + customer01.getPoints());\\n\\n System.out.println(\\\"Bonus for cashier: \\\" + currentCashier.calculateBonus() + \\\" Euros\\\");\\n\\n\\n\\n\\n\\n\\n }\",\n \"void deposit(double Cash){\\r\\n\\t\\tbalance=balance+Cash;\\r\\n\\t}\",\n \"@Override\\n\\tpublic void run(String... args) throws Exception {\\n\\t\\taccountListRepository.deleteAll();\\n\\t\\taccountTransactionRepository.deleteAll();\\n\\t\\t\\n\\t\\tAccountListDTO account1 = new AccountListDTO();\\n\\t\\taccount1.setAccountNumber(585309209);\\n\\t\\taccount1.setAccountName(\\\"SGSavings726\\\");\\n\\t\\taccount1.setAccountType(\\\"Savings\\\");\\n\\t\\taccount1.setBalanceDate(LocalDate.of(2018, 11, 8));\\n\\t\\taccount1.setCurrency(\\\"SGD\\\");\\n\\t\\taccount1.setOpeningAvailableBalance(84327.51);\\n\\t\\taccountListRepository.save(AccountListDTO.prepareAccountListEntity(account1));\\n\\t\\t\\n\\t\\tAccountListDTO account2 = new AccountListDTO();\\n\\t\\taccount2.setAccountNumber(791066619);\\n\\t\\taccount2.setAccountName(\\\"AUSavings933\\\");\\n\\t\\taccount2.setAccountType(\\\"Savings\\\");\\n\\t\\taccount2.setBalanceDate(LocalDate.of(2018, 11, 8));\\n\\t\\taccount2.setCurrency(\\\"AUD\\\");\\n\\t\\taccount2.setOpeningAvailableBalance(88005.93);\\n\\t\\taccountListRepository.save(AccountListDTO.prepareAccountListEntity(account2));\\n\\t\\t\\n\\t\\tAccountListDTO account3 = new AccountListDTO();\\n\\t\\taccount3.setAccountNumber(347786244);\\n\\t\\taccount3.setAccountName(\\\"AUCurrent433\\\");\\n\\t\\taccount3.setAccountType(\\\"Current\\\");\\n\\t\\taccount3.setBalanceDate(LocalDate.of(2018, 11, 8));\\n\\t\\taccount3.setCurrency(\\\"AUD\\\");\\n\\t\\taccount3.setOpeningAvailableBalance(38010.62);\\n\\t\\taccountListRepository.save(AccountListDTO.prepareAccountListEntity(account3));\\n\\t\\t\\n\\t\\tAccountTransactionDTO transaction1 = new AccountTransactionDTO();\\n\\t\\ttransaction1.setAccountNumber(1232223212);\\n\\t\\ttransaction1.setAccountName(\\\"Current Account\\\");\\n\\t\\ttransaction1.setValueDate(LocalDate.of(2012, 1, 12));\\n\\t\\ttransaction1.setCurrency(\\\"SGD\\\");\\n\\t\\ttransaction1.setCreditAmount(9540.98);\\n\\t\\ttransaction1.setDebitOrCredit(\\\"Credit\\\");\\n\\t\\taccountTransactionRepository.save(AccountTransactionDTO.prepareAccountTransactionEntity(transaction1));\\n\\t\\t\\n\\t\\tAccountTransactionDTO transaction2 = new AccountTransactionDTO();\\n\\t\\ttransaction2.setAccountNumber(1232223212);\\n\\t\\ttransaction2.setAccountName(\\\"Current Account\\\");\\n\\t\\ttransaction2.setValueDate(LocalDate.of(2012, 1, 12));\\n\\t\\ttransaction2.setCurrency(\\\"SGD\\\");\\n\\t\\ttransaction2.setCreditAmount(7497.82);\\n\\t\\ttransaction2.setDebitOrCredit(\\\"Credit\\\");\\n\\t\\taccountTransactionRepository.save(AccountTransactionDTO.prepareAccountTransactionEntity(transaction2));\\n\\t\\t\\n\\t\\tAccountTransactionDTO transaction3 = new AccountTransactionDTO();\\n\\t\\ttransaction3.setAccountNumber(1232223212);\\n\\t\\ttransaction3.setAccountName(\\\"Current Account\\\");\\n\\t\\ttransaction3.setValueDate(LocalDate.of(2012, 1, 12));\\n\\t\\ttransaction3.setCurrency(\\\"SGD\\\");\\n\\t\\ttransaction3.setCreditAmount(5564.79);\\n\\t\\ttransaction3.setDebitOrCredit(\\\"Credit\\\");\\n\\t\\taccountTransactionRepository.save(AccountTransactionDTO.prepareAccountTransactionEntity(transaction3));\\n\\t\\t\\n\\t}\",\n \"public static void deposit() {\\n\\t\\ttry {\\n\\t\\t\\tif (!LoginMgr.isLoggedIn()) {\\n\\t\\t\\t\\tthrow new NotLoggedInException();\\n\\t\\t\\t}\\n\\n\\t\\t\\t//Scanner s = new Scanner(System.in);\\n\\t\\t\\tSystem.out.println(\\\"Enter account number:\\\");\\n\\t\\t\\tString accNum = \\\"\\\";\\n\\t\\t\\tif (Quinterac.s.hasNextLine())\\n\\t\\t\\t\\taccNum = Quinterac.s.nextLine();\\n\\n\\t\\t\\tif (!ValidAccListMgr.checkAccNumExist(accNum)) {\\n\\t\\t\\t\\tSystem.out.println(\\\"Please enter a valid account number\\\");\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\n\\t\\t\\tSystem.out.println(\\\"Enter the amount of money to deposit in cents:\\\");\\n\\t\\t\\tint amount = 0;\\n\\t\\t\\tif (Quinterac.s.hasNextInt()) amount = Integer.parseInt(Quinterac.s.nextLine());\\n\\t\\t\\t\\n\\t\\t\\tString modeName = LoginMgr.checkMode();\\n\\t\\t\\tif (modeName.equals(\\\"machine\\\")) {\\n\\t\\t\\t\\tatmCheckDepositValid(accNum, amount);\\n\\t\\t\\t} else if (modeName.equals(\\\"agent\\\")) {\\n\\t\\t\\t\\tagentCheckDepositValid(accNum, amount);\\n\\t\\t\\t}\\n\\n\\t\\t} catch (NotLoggedInException e) {\\n\\t\\t\\tSystem.out.println(e.getMessage());\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tSystem.out.println(e.getMessage());\\n\\t\\t}\\n\\t}\",\n \"protected void deposit(double amount)\\n\\t{\\n\\t\\tacc_balance+=amount;\\n\\t}\",\n \"@Override\\n\\tpublic void deposit(int money) {\\n\\t\\t\\n\\t}\",\n \"void depositByCheque(double amount) {\\n\\t\\tif (isSuspended()) {\\n\\t\\t\\tSystem.out.println(\\\"Account is suspended.\\\");\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tif (amount <= 0) {\\n\\t\\t\\tSystem.out.println(\\\"Amount must be more than 0.\\\");\\n\\t\\t\\tSystem.out.println(\\\"Depositing failed.\\\");\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tcheque += amount;\\n\\t\\tSystem.out.println(\\\"Deposit cheque \\\" + amount + \\\" successfully\\\");\\n\\t}\",\n \"@Override\\n public void transferLockingAccounts(int fromId, int toId, long amount) throws InsufficientFundsException {\\n Account fromAcct = accountMap.get(fromId);\\n Account toAcct = accountMap.get(toId);\\n Account lock1, lock2;\\n\\n if(fromAcct.getId() < toAcct.getId()){\\n lock1 = fromAcct;\\n lock2 = toAcct;\\n } else {\\n lock1 = toAcct;\\n lock2 = fromAcct;\\n }\\n\\n synchronized (lock1){\\n synchronized (lock2){\\n fromAcct.withdraw(amount);\\n toAcct.deposit(amount);\\n }\\n }\\n }\",\n \"public void testOneWithdrawal(){\\n\\t\\t//Pre-conditions\\n\\t\\tteller.setWorking(true);\\n\\t\\tteller.setHost(host);\\n\\t\\t\\n\\t\\tassertEquals(\\\"Teller's state should be free, but instead it is: \\\" + teller.getState(),\\\"Free\\\",teller.getState());\\n\\t\\tassertEquals(\\\"Teller's state should be free, but instead it is: \\\" + teller.getState(),\\\"Free\\\",teller.getState());\\n\\t\\tassertEquals(\\\"Teller should have no pending transactions, but it has: \\\" +teller.pendingTransactions.size(),0,teller.pendingTransactions.size());\\n\\t\\t\\n\\t\\tassertEquals(\\\"Teller should have no pending loans, but it has \\\" + teller.pendingLoans.size(),0,teller.pendingTransactions.size());\\n\\t\\tassertEquals(\\\"Teller should have no accountsListed, but it has \\\" + teller.accountsListed.size(),0,teller.accountsListed.size());\\n\\t\\t\\n\\t\\t//Step 0 of test - Teller has an account for this customer already \\n\\t\\tteller.accountsListed.add(new BankAccount(withdraw,100));\\n\\t\\t\\n\\t\\t//Post-conditions of step 0 \\n\\t\\tassertEquals(\\\"Teller should have one account listed, instead it has \\\" + teller.accountsListed.size(),1,teller.accountsListed.size());\\n\\t\\tassertEquals(\\\"Teller's only account should have a balance of 100, instead it has \\\" + teller.accountsListed.get(0).getBalance(), \\n\\t\\t\\t\\t100.0,teller.accountsListed.get(0).getBalance());\\n\\t\\t\\n\\t\\t//Step 1 of test\\n\\t\\t//msgGoSeeTeller(Banker)\\n\\t\\twithdraw.msgGoSeeTeller(teller);\\n\\t\\t\\n\\t\\t//Post-conditions of step 1 \\n\\t\\tassertEquals(\\\"Teller's state should be busy, but instead it is: \\\" + teller.getState(),\\\"Busy\\\",teller.getState());\\n\\t\\tassertEquals(\\\"Teller should have one pending transaction, but it has: \\\" +teller.pendingTransactions.size(),\\n\\t\\t\\t\\t1,teller.pendingTransactions.size());\\n\\t\\tassertEquals(\\\"Teller's transaction should be to withdraw 100 dollars, instead it is for \\\" + teller.pendingTransactions.get(withdraw), \\n\\t\\t\\t\\t-100.0, teller.pendingTransactions.get(withdraw));\\n\\t\\t\\n\\t\\t//Step 2 of test\\n\\t\\tassertTrue(\\\"Teller's scheduler should return true, but it doesn't.\\\", teller.pickAndExecuteAnAction());\\n\\t\\t\\n\\t\\t//Post-conditions of step 2 \\n\\t\\tassertEquals(\\\"Teller's state should be free, but instead it is: \\\" + teller.getState(),\\\"Free\\\",teller.getState());\\n\\t\\tassertEquals(\\\"Teller should have no pending transactions, but it has: \\\" +teller.pendingTransactions.size(),0,teller.pendingTransactions.size());\\n\\t\\tassertTrue(\\\"Host's log should have a message stating \\\\\\\"Updated account, and added teller\\\\\\\", instead it reads: \\\" + host.log.getLastLoggedEvent().toString(), \\n\\t\\t\\t\\thost.log.containsString(\\\"Updated account, and added teller\\\"));\\n\\t\\tassertTrue(\\\"Customer's log should have a message stating \\\\\\\"Got 100.0 dollars, leaving bank.\\\\\\\", instead it reads: \\\" + withdraw.log.getLastLoggedEvent().toString(),\\n\\t\\t\\t\\twithdraw.log.containsString(\\\"Got 100.0 dollars, leaving bank.\\\"));\\n\\t\\tassertEquals(\\\"Customer's account stored in teller should be updated with the correct balance of 0.0, instead it has \\\" + teller.accountsListed.get(0).getBalance(), \\n\\t\\t\\t\\t0.0, teller.accountsListed.get(0).getBalance());\\n\\t\\t\\n\\t}\",\n \"public void makeDeposit(double deposit) {\\n\\t\\t// implement\\n\\t\\tthis.balance += deposit;\\n\\t}\",\n \"public static void main(String[] args) {\\n BankAccount Yaoming = new BankAccount(0, \\\"blobfis@h\\\");\\n BankAccount Hoshi = new BankAccount(2348123, \\\"Seventeen\\\");\\n BankAccount Pewpew = new BankAccount(1245, \\\" \\\");\\n\\n System.out.println(Yaoming.getBalance());\\n System.out.println(Hoshi.getAccountID());\\n // System.out.println(Yaoming.getPassword());\\n Yaoming.setPassword(\\\"donkey\\\");\\n // System.out.println(Yaoming.getPassword());\\n System.out.println(Yaoming.deposit(53.43));\\n System.out.println(Yaoming.getBalance());\\n if ( Yaoming.deposit(-100) ) System.out.println(\\\"Deposit successful!\\\");\\n else {System.out.println(\\\"Deposit failed!\\\");}\\n System.out.println();\\n\\n // System.out.println(Pewpew.getPassword());\\n System.out.println(Pewpew.getBalance());\\n System.out.println(Pewpew.deposit(2147823.23));\\n System.out.println(Pewpew.withdraw(9999999));\\n System.out.println(Pewpew.withdraw(-1231784.23));\\n System.out.println(Pewpew.withdraw(0.23));\\n System.out.println(Pewpew.getBalance());\\n System.out.println();\\n\\n System.out.println(Hoshi.toString());\\n System.out.println(Yaoming.toString());\\n System.out.println(Pewpew.toString());\\n System.out.println();\\n\\n BankAccount Sophia = new BankAccount(123456, \\\"meowmeow\\\");\\n BankAccount Funky = new BankAccount(7890, \\\"woofwoof\\\");\\n Sophia.deposit(7500);\\n System.out.println(Sophia.getBalance());\\n System.out.println(Funky.getBalance());\\n System.out.println(Sophia.transferTo(Funky, 500, \\\"meowmeow\\\")); //should be true\\n System.out.println(Funky.transferTo(Sophia, 1000, \\\"woofwoof\\\")); //should be false\\n System.out.println(Funky.transferTo(Sophia, 300, \\\"hehehe\\\")); //should be false\\n System.out.println(Sophia.getBalance()); //should be 7000.0\\n System.out.println(Funky.getBalance()); //should be 500.0\\n\\n }\",\n \"public void deposit(double deposit){\\n accTransactions.add(new Transaction('D', deposit, balance, \\\"deposit\\\"));\\n balance += deposit;\\n }\",\n \"@Test\\n public void testImpossible1TransferMoney() {\\n Bank bank = new Bank();\\n User user = new User(\\\"Petr\\\", \\\"0000 000000\\\");\\n AccountOfUser acc = new AccountOfUser(0, \\\"0000 0000 0000 0000\\\");\\n AccountOfUser acc2 = new AccountOfUser(0, \\\"0000 0000 0000 0001\\\");\\n bank.addUser(user);\\n bank.addAccountToUser(user.getPassport(), acc);\\n bank.addAccountToUser(user.getPassport(), acc2);\\n assertThat(bank.transferMoney(user.getPassport(), acc.getRequisites(), user.getPassport(), acc2.getRequisites(), 100), is(false));\\n }\",\n \"public static void main(String[] args) {\\n\\t\\tBank b = new Bank();\\n\\t\\tRandom r = new Random();\\n\\t\\tfor(int i = 0; i < 29; i++) {\\n\\t\\t\\tb.addAccount(new Account(i*100000, r.nextInt(1000000)*r.nextDouble(),Integer.toString(i)));\\n\\t\\t}\\n\\t\\tSystem.out.println(b);\\n\\t\\tSystem.out.println(b.addAccount(new Account(1500l, r.nextInt(1000000)*r.nextDouble(), \\\"100\\\")));\\n\\t\\tSystem.out.println(b.removeAccount(1500l));\\n\\t\\tSystem.out.println(b.deposit(1500l, 1000d));\\n\\t\\tSystem.out.println(b.deposit(0l, 1000d));\\n\\t\\tSystem.out.println(b.withdraw(0l, 1000000000000000000d));\\n\\t}\",\n \"public static void main(String[] args) {\\n IBank b = new SyncBank(NACCOUNTS, INITIAL_BALANCE);\\n\\n for (int i = 0; i < NACCOUNTS; i++) {\\n TransferThread t = new TransferThread(b, i,\\n INITIAL_BALANCE);\\n t.setPriority(Thread.NORM_PRIORITY + i % 2);\\n t.start();\\n }\\n }\",\n \"public void deposit(int amount) {\\n\\t\\tint newBalance = balance + amount;\\n\\t\\ttry{\\n\\t\\t\\tThread.sleep(5); //added to make magnify corruption & make visible\\n\\t\\t}catch(InterruptedException ex) {\\n\\t\\t\\tex.printStackTrace();\\n\\t\\t}\\n\\t\\tthis.balance = newBalance;\\n\\t}\",\n \"void depositByCash(double amount) {\\n\\t\\tif (isSuspended()) {\\n\\t\\t\\tSystem.out.println(\\\"Account is suspended.\\\");\\n\\t\\t\\tSystem.out.println(\\\"Depositing failed.\\\");\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tif (amount <= 0) {\\n\\t\\t\\tSystem.out.println(\\\"Amount must be more than 0.\\\");\\n\\t\\t\\tSystem.out.println(\\\"Depositing failed.\\\");\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tbalance += amount;\\n\\t\\tSystem.out.println(\\\"Deposit \\\" + amount + \\\" successfully\\\");\\n\\t}\",\n \"public void deposit(double amount)\\n {\\n balance = balance + amount;\\n }\",\n \"public void deposit (double amount) \\r\\n {\\r\\n\\r\\n balance += amount;\\r\\n System.out.println (\\\"Deposit into account shs: \\\" + account);\\r\\n System.out.println (\\\"Standing Amount: \\\" + amount);\\r\\n System.out.println (\\\"Current balance: \\\" + balance);\\r\\n System.out.println ();\\r\\n\\r\\n }\",\n \"@Test\\n\\tpublic void createAccountDebtsTest() {\\n\\t\\tsetChequingRadioDefaultOff();\\n\\t\\trdbtnDebt.setSelected(true);\\n\\t\\tdata.setRdbtnDebt(rdbtnDebt);\\n\\t\\tAccount account = data.createNewAccount();\\n\\t\\taccountTest = new Account(TEST_ACCOUNT_NAME, bankTest,\\n\\t\\t\\t\\tAccount.Types.DEBITS.getAccountType());\\n\\t\\tassertEquals(accountTest, account);\\n\\t}\",\n \"public synchronized void sponsor(final Operation sponsor, final Account account, final Lock lock) {\\r\\n\\r\\n\\t\\ttry {//tenta colocar a thread em sleep com o valor padrao definido, caso nao consiga, interrompe a thread e imprime o codigo da excecao\\r\\n\\t\\t\\tThread.sleep((15000));\\r\\n\\t\\t} catch (InterruptedException e) {\\r\\n\\t\\t\\tThread.currentThread().interrupt();\\r\\n\\t\\t\\te.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t\\t//trava, verifica se o saldo é igual a zero, adiciona a quantia determinada, printa as informacoes e por fim destrava a conta\\r\\n\\t\\tlock.lock();\\r\\n\\t\\ttry {//tenta colocar a thread em sleep com o valor padrao definido, caso nao consiga, interrompe a thread e imprime o codigo da excecao\\r\\n\\t\\t\\tif(account.getBalance() == 0) {\\r\\n\\t\\t\\t\\taccount.setBalance(account.getBalance() + sponsor.getPull());\\r\\n\\t\\t\\t\\tsponsor.setNumberOfPulls(sponsor.getNumberOfPulls() + 1);\\r\\n\\t\\t\\t\\tsponsor.setBalance(sponsor.getBalance() - sponsor.getPull());\\r\\n\\t\\t\\t\\tSystem.out.println(\\\"\\\\n\\\\nThread: \\\" + Thread.currentThread().getName() + \\\" - Accounts new Balance: \\\" + account.getBalance());\\r\\n\\t\\t\\t\\tSystem.out.println(\\\"Threads new Balance: \\\" + sponsor.getBalance() + \\\"\\\\n\\\\n\\\");\\r\\n\\t\\t\\t\\tthreadSync(sponsor, account);\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t} finally {//destrava a conta para uso de outras threads\\r\\n\\t\\t\\tlock.unlock();\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public long deposit(long amount) {\\n balance += amount;\\n return balance;\\n }\",\n \"private void depositBank() throws InterruptedException{\\n\\n log(\\\"banking!\\\");\\n if(!getBank().isOpen()){\\n getBank().open();\\n Timing.waitCondition(() -> getBank().isOpen(), 5000);\\n }else{\\n getBank().depositAllExcept(item -> item.getName().endsWith(\\\" axe\\\"));\\n\\n }\\n\\n }\",\n \"public static void main(String[] args) throws InterruptedException {\\n // Mostramos el saldo inicial\\n System.out.println(\\\"Saldo inicial: \\\"+c.getDinero());\\n // Iniciamos los hilos de ingreso y extracción\\n Thread h1 = new Ingreso();\\n h1.start();\\n Thread h2 = new Extraccion();\\n h2.start();\\n // Esperamos a que terminen para comprobar el saldo final\\n h1.join();\\n h2.join();\\n // Mostramos el saldo final\\n System.out.println(\\\"Saldo total: \\\"+c.getDinero());\\n }\",\n \"boolean deposit(UUID name, double amount);\",\n \"@Override\\n public void run() {\\n for (int amount : amounts) {\\n synchronized (from) {\\n synchronized (to) {\\n from.addMoney(-amount);\\n to.addMoney(amount);\\n }\\n }\\n }\\n }\",\n \"public void deposit(double amount) \\n\\t{\\n\\t\\tbalance += amount;\\n\\t}\",\n \"void deposit(int value)//To deposit money from the account\\n {\\n balance += value;\\n }\",\n \"void executeWithinLocks(Consumer<MoneyTransferRequest> consumer, MoneyTransferRequest request);\",\n \"public static void main(String[] args) {\\n\\n Hashtable balance = new Hashtable();\\n Enumeration names;\\n String str;\\n double bal;\\n\\n balance.put(\\\"Zara\\\", new Double(54700));\\n balance.put(\\\"Mahnaz\\\", new Double(123.22));\\n balance.put(\\\"Ayan\\\", new Double(1378.00));\\n balance.put(\\\"Daisy\\\", new Double(99.22));\\n balance.put(\\\"Qadir\\\", new Double(-19.08));\\n\\n names = balance.keys();\\n while (names.hasMoreElements()) {\\n str = (String) names.nextElement();\\n System.out.println(str + \\\": \\\" + balance.get(str));\\n }\\n System.out.println();\\n\\n // Deposit 10000 into Zara's account\\n bal = ((Double) balance.get(\\\"Zara\\\")).doubleValue();\\n balance.put(\\\"Zara\\\", new Double(bal + 10000));\\n System.out.println(\\\"Zara's new balance: \\\" + balance.get(\\\"Zara\\\"));\\n }\",\n \"public void deposit(double amount) {\\n balance = balance + amount + 10;\\n }\",\n \"public void deposit(double amount){\\n\\t\\tbalance += amount;\\n\\t}\",\n \"public static void main(String[] args) {\\n\\t\\t\\n\\t\\tBanking s1 = AccountFactory.openSavingAccount(\\\"Polo\\\");\\n\\t\\ttry {\\n\\t\\t\\ts1.withdraw(2000);\\n\\t\\t} catch (BalanceException e) {\\n\\t\\t\\t//e.printStackTrace(); \\t//For debugging - used by developers\\n\\t\\t\\t//System.out.println(e); \\t//used for loggers\\n\\t\\t\\tSystem.out.println(e.getMessage()); \\t//for end user\\n\\t\\t}\\n\\t\\t\\n\\t\\ts1.deposit(3000);\\n//\\t\\ts1.withdraw(2000);\\n//\\t\\ts1.deposit(4000);\\n//\\t\\t\\n//\\t\\ts1.statement();\\n\\t\\t\\n\\n\\t}\",\n \"public void deposit() throws IOException, ClassNotFoundException {\\r\\n System.out.println(\\\"Enter an amount to deposit \\\");\\r\\n float depositedAmount = (float)this.input.nextDouble();\\r\\n if (depositedAmount < 5.0F) {\\r\\n System.out.println(\\\"enter amount greater or equal to N$ 5\\\");\\r\\n this.repeatDeposit(); // Calling the Mentioned Function\\r\\n }\\r\\n\\r\\n this.balance += depositedAmount;\\r\\n this.transaction = depositedAmount;\\r\\n System.out.println(\\\"You have Successfully Deposited: N$\\\" + this.transaction);\\r\\n System.out.printf(\\\"New Balance: N$%.2f\\\", this.balance);\\r\\n this.repeatDeposit(); // Calling the Mentioned Function\\r\\n this.coinDisbursed(); // Calling the Mentioned Function\\r\\n }\",\n \"private void doDeposit() {\\n System.out.println(\\\"How much do you want to deposit?\\\");\\n boolean keepgoing = true;\\n int amount = -1;\\n while (keepgoing) {\\n amount = input.nextInt();\\n if (amount > 0) {\\n keepgoing = false;\\n pickedAccount.deposit(amount);\\n }\\n }\\n System.out.println(\\\"deposited \\\" + amount + \\\" $\\\");\\n }\",\n \"@Override\\n protected void withdraw(int request, boolean isOverdraft){\\n if(request>0){\\n request += SERVICE_FEE;\\n }\\n //need to change both balances just in case there was a LARGE_DEPOSIT \\n //making it so that the 2 balance values differ\\n setBalance(getBalance() - request);\\n setBalanceAvailable(getBalanceAvailable() - request);\\n }\",\n \"public void deposit(double amount) {\\n this.balance += amount;\\n }\",\n \"private void sendBucks() {\\n\\t\\tconsole.printUsers(userService.getAll(currentUser.getToken()));\\n\\t\\tSystem.out.println(\\\"\\\");\\n\\n\\t\\tBoolean validResponse = false;\\n\\t\\tint selectedUserId = -1;\\n\\t\\tBigDecimal transferAmount = new BigDecimal(0);\\n\\t\\tBigDecimal zero = new BigDecimal(0);\\n\\t\\tBigDecimal currentBalance = (accountService.getAccountBalance(currentUser.getToken()));\\n\\t\\tTransfer transfer = new Transfer();\\n\\n\\t\\twhile (true) {\\n\\t\\t\\t// ask which user you want to send money to or exit\\n\\t\\t\\tselectedUserId = console.getUserInputInteger(\\\"Enter ID of user you are sending to (0 to cancel)\\\");\\n\\t\\t\\tif (selectedUserId == 0) {\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\n\\t\\t\\tif (selectedUserId > 0 && selectedUserId <= userService.getAll(currentUser.getToken()).length) {\\n\\t\\t\\t\\t// prompt for amount to send\\n\\t\\t\\t\\ttransferAmount = console.getUserInputBigDecimal(\\\"Enter amount\\\");\\n\\t\\t\\t\\t// transfer money\\n\\n\\t\\t\\t\\tif (transferAmount.compareTo(zero) == 1 && transferAmount.compareTo(currentBalance) <= 0) {\\n\\n\\t\\t\\t\\t\\ttransfer.setFromUserId(currentUser.getUser().getId());\\n\\t\\t\\t\\t\\ttransfer.setToUserId(selectedUserId);\\n\\t\\t\\t\\t\\ttransfer.setTransferAmount(transferAmount);\\n\\t\\t\\t\\t\\ttransfer.setStatusOfTransferId(2);\\n\\t\\t\\t\\t\\ttransfer.setTypeOfTransferId(2);\\n\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\ttransferService.createTransfer(currentUser.getToken(), transfer);\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"\\\\nTransfer Complete!\\\");\\n\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tSystem.out.println(\\\"\\\\nInsufficient Funds! Please try again.\\\\n\\\");\\n\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t}\",\n \"public void Deposit(double ammount){\\n abal = ammount + abal;\\n UpdateDB();\\n }\",\n \"public void withdraw(double amount)\\n throws InterruptedException\\n {\\n balanceChangeLock.lock();\\n try\\n {\\n while (balance < amount)\\n sufficientFundsCondition.await();\\n System.out.print(\\\"Sacando \\\" + amount);\\n double newBalance = balance - amount;\\n System.out.println(\\\", novo saldo igual a \\\" + newBalance);\\n balance = newBalance;\\n }\\n finally\\n {\\n balanceChangeLock.unlock();\\n }\\n }\",\n \"@Override\\n public void deposit(int accountId, long amount) {\\n if(!accounts.containsKey(accountId)){\\n throw new IllegalArgumentException(\\\"Account \\\" + accountId + \\\" does not exist in this Bank.\\\");\\n }\\n else{\\n synchronized (accounts.get(accountId)){\\n accounts.get(accountId).deposit(amount);\\n }\\n }\\n }\",\n \"@Override\\r\\n\\tpublic void deposit(int amount) {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n public void transfer(int fromId, int toId, long amount) {\\n synchronized (accounts.get(fromId)){\\n synchronized (accounts.get(toId)){\\n try {\\n accounts.get(fromId).withdraw(amount);\\n accounts.get(toId).deposit(amount);\\n } catch (InsufficientFundsException e) {\\n //Swallow the error and do nothing\\n }\\n\\n }\\n }\\n }\",\n \"@Override\\n public void transferLockingAccounts(int fromId, int toId, long amount) throws InsufficientFundsException {\\n Account fromAccount = accounts.get(fromId);\\n Account toAccount = accounts.get(toId);\\n synchronized (fromAccount) {\\n fromAccount.withdraw(amount);\\n }\\n synchronized (toAccount) {\\n toAccount.deposit(amount);\\n }\\n }\",\n \"public void deposit(double value){\\r\\n balance += value;\\r\\n}\",\n \"public void transferToChecking(double amount){\\n withdrawSavings(amount);\\r\\n depositChecking(amount);\\r\\n }\",\n \"@Test\\n public void testImpossible2TransferMoney() {\\n Bank bank = new Bank();\\n User user = new User(\\\"Petr\\\", \\\"0000 000000\\\");\\n AccountOfUser acc = new AccountOfUser(0, \\\"0000 0000 0000 0001\\\");\\n bank.addUser(user);\\n bank.addAccountToUser(user.getPassport(), acc);\\n assertThat(bank.transferMoney(user.getPassport(), \\\"0000 0000 0000 0000\\\", user.getPassport(), acc.getRequisites(), 100), is(false));\\n }\",\n \"void deposit (double depositAmount, String userName) {\\n\\t\\tBankAccountRepositoryJdbc bar = new BankAccountRepositoryJdbc();\\n\\t\\tbalance = bar.getBalance(userName);\\n\\t\\t\\n\\t\\ttry {\\n\\t\\t\\tif(depositAmount != 0) {\\n\\t\\t\\t\\tif(depositAmount > 0) {\\n\\t\\t\\t\\t\\tbalance = balance+depositAmount;\\n\\t\\t\\t\\t\\taccount.setBalance(balance);\\n\\t\\t\\t\\t\\taccount.setUsername(userName);\\n\\t\\t\\t\\t\\tbar.updateAccount(account);\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tthrow new NegativeAmountDepositException (\\\"You attempted to deposit a negative amount.\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tcatch (NegativeAmountDepositException e) {\\n\\t\\t\\tLOGGER.info(e);\\n\\t\\t}\\n\\t}\",\n \"public boolean transferMoney(Account fromAcct, Account toAcct, DollarAmount amount,\\n long timeout, TimeUnit unit)\\n throws DollarAmount.InsufficientFundsException, InterruptedException {\\n long stopTime = System.nanoTime() + unit.toNanos(timeout);\\n\\n for (; ; ) {\\n if (fromAcct.lock.tryLock()) {\\n try {\\n if (toAcct.lock.tryLock()) {\\n try {\\n if (fromAcct.getBalance().compareTo(amount) < 0) {\\n throw new DollarAmount.InsufficientFundsException();\\n } else {\\n fromAcct.debit(amount);\\n toAcct.credit(amount);\\n return true;\\n }\\n } finally {\\n toAcct.lock.unlock();\\n }\\n }\\n } finally {\\n fromAcct.lock.unlock();\\n }\\n }\\n\\n if (System.nanoTime() > stopTime)\\n return false;\\n\\n// TimeUnit.NANOSECONDS.sleep(fixedDelay + rnd.nextLong() % randMod);\\n }\\n }\",\n \"public static void main(String[] args) {\\n SavingAccount savings = new SavingAccount(1112, 200);\\r\\n CheckingAccount checking = new CheckingAccount(1113, 200, -200);\\r\\n\\r\\n //account.setAnnualInterestRate(4.5);\\r\\n savings.setAnnualInterestRate(4.5);\\r\\n checking.setAnnualInterestRate(4.5);\\r\\n\\r\\n\\r\\n //account.withdraw(250);\\r\\n //account.deposit(30);\\r\\n //System.out.println(account.toString());\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n checking.withdraw(250);\\r\\n checking.deposit(30);\\r\\n System.out.println(checking.toString());\\r\\n\\r\\n savings.withdraw(2504);\\r\\n savings.deposit(30);\\r\\n System.out.println(savings.toString());\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n }\",\n \"public synchronized void addToDonations(int amount){\\n\\t\\ttotalDonations = totalDonations + amount;\\n\\t\\t//System.out.println(\\\"Total Donations: \\\" +totalDonations);\\n\\t}\",\n \"public void nonSyncdeposit(double amount)\\r\\n\\t {\\r\\n\\t if(amount<0){//if deposit amount is negative\\r\\n\\t \\t System.out.println(\\\"Invalid amount cannot deposit\\\");\\r\\n\\t }\\r\\n\\t else{ //logic to deposit amount\\r\\n\\t\\t System.out.print(\\\"Depositing \\\" + amount);\\r\\n\\t double newBalance = balance + amount;\\r\\n\\t System.out.println(\\\", new balance is \\\" + newBalance);\\r\\n\\t balance = newBalance;\\r\\n\\t }\\r\\n\\t }\",\n \"public void deposit(double amount) {\\n\\t\\tbalance += amount;\\n\\t}\",\n \"public void deposit(double amount) {\\n\\t\\tbalance += amount;\\n\\t}\",\n \"public int deposit(int depositAmmount);\",\n \"@Override\\n\\tvoid deposit(double amount) {\\n\\t\\tsuper.balance += amount - 20;\\n\\t}\",\n \"public void deposit(int depositAmount)\\r\\n {\\n this.balance += depositAmount;\\r\\n System.out.println(\\\"Deposit of \\\" + depositAmount + \\\" made. New Balance is \\\" + this.balance);\\r\\n }\",\n \"@Override\\n public void makeDeposit(BigInteger account, BigDecimal amount) {\\n Account accountDeposit = accountDao.getAccountByIban(account);\\n accountDeposit.setBalance(accountDeposit.getBalance().add(amount));\\n accountDao.updateAccount(accountDeposit);\\n\\n transactionDao.storeTransaction(new Transaction(null, account, amount, TransactionType.DEPOSIT));\\n }\",\n \"public static void main(String[] args) {\\n\\t\\tBankAccount yoon = new BankAccount();\\n\\t\\tyoon.initAccount(\\\"1234\\\", \\\"1111-1111\\\", 10000);\\n\\t\\t\\n\\t\\tBankAccount park = new BankAccount();\\n\\t\\tpark.initAccount(\\\"4321\\\",\\\"2222-1111\\\", 20000);\\n\\t\\t\\n\\t\\tyoon.deposit(5000);\\n\\t\\tpark.deposit(3000);\\n\\t\\t\\n\\t\\tyoon.withdraw(1000);\\n\\t\\tpark.withdraw(2000);\\n\\t\\t\\n\\t\\tyoon.checkMyBalance();\\n\\t\\tpark.checkMyBalance();\\n\\t}\",\n \"public void ventaBilleteMaquina1()\\n {\\n maquina1.insertMoney(500);\\n maquina1.printTicket();\\n }\",\n \"public static void main(String[] args) {\\n\\t\\t Scanner input=new Scanner(System.in);//Input through Scanner Class\\n\\t\\t System.out.println(\\\"You have Rs 500 in account\\\"); \\n\\t\\t System.out.println(\\\"Enter the amount to be withdrawed\\\");\\n\\t\\t int amount = input.nextInt();\\n\\t\\t //Enter the amount \\n\\t\\t CurrentAccount deposit=new CurrentAccount();\\n\\t\\t payment(deposit, amount);\\n\\t\\t //Withdraw the amount from bank\\n\\t\\t System.out.println(\\\"Enter the amount to be deposited\\\");\\n\\t\\t amount = input.nextInt();\\n\\t deposit(new SavingsAccount(), amount);\\n //Deposit the amount bank\\n }\",\n \"public void deposit(int amount)\\n {\\n setBalance(getBalance()+amount);\\n }\",\n \"void joinBill(Bill toJoin);\",\n \"@Test\\n public void testBuyTwoGetOneFree_1() throws Exception {\\n Product apple = new Product(\\n \\\"Apple\\\",\\n \\\"SKU-0003\\\",\\n ToMoney.from(\\n Composite.function(Multiply.by(40),\\n BinaryFunctionUnaryFunction.adapt(new UnaryCompositeBinaryFunction<Number, Number, Number>(Subtract.instance(),\\n new Identity<Number>(),\\n Divide.by(3))))));\\n\\n assertEquals(new Money(0*40),apple.getPrice(0));\\n assertEquals(new Money(1*40),apple.getPrice(1));\\n assertEquals(new Money(2*40),apple.getPrice(2));\\n assertEquals(new Money(2*40),apple.getPrice(3));\\n assertEquals(new Money(3*40),apple.getPrice(4));\\n assertEquals(new Money(4*40),apple.getPrice(5));\\n assertEquals(new Money(4*40),apple.getPrice(6));\\n assertEquals(new Money(5*40),apple.getPrice(7));\\n assertEquals(new Money(6*40),apple.getPrice(8));\\n assertEquals(new Money(6*40),apple.getPrice(9));\\n assertEquals(new Money(7*40),apple.getPrice(10));\\n }\",\n \"public static void main(String[] args) {\\n\\t\\tIAccount accountObjWithSavingsAcc=new SavingsAccount();\\n\\t\\t\\n\\t\\taccountObjWithSavingsAcc.depositAmount(100000);\\n\\t}\",\n \"public void makeDposit(String accountName, Transaction deposit){\\n for (int i=0; i<=accounts.size();i++)\\n {\\n if (accounts.get(i).name.equals(accountName))\\n {\\n// found = true;\\n this.accounts.get(i).makeTransaction(deposit);\\n return;\\n }\\n }\\n System.out.println(\\\"account not found\\\");\\n }\",\n \"@Override\\n\\tpublic Void call() throws Exception {\\n\\t\\tlong money = ThreadLocalRandom.current().nextLong(0,21);\\n\\t\\tUtility.p(callType + \\\" processing \\\" + money);\\n\\t\\ttry {\\n\\t\\tswitch ( callType ){\\n\\t\\tcase myAccountYourAccount:\\n\\t\\t\\tlock.transferMoneyBad(myAccount,yourAccount,money);\\n\\t\\t\\tUtility.p(\\\"result myAccount:\\\" + myAccount );\\n\\t\\t\\tUtility.p(\\\"result yourAccount:\\\" + yourAccount);\\n\\t\\t\\tbreak;\\n\\t\\tcase yourAccountMyAccount:\\n\\t\\t\\tlock.transferMoneyBad(yourAccount,myAccount,money);\\n\\t\\t\\tUtility.p(\\\"result yourAccount:\\\" + yourAccount);\\n\\t\\t\\tUtility.p(\\\"result myAccount:\\\" + myAccount );\\n\\t\\t\\tbreak;\\n\\t\\tcase myAccountYourAccountHash:\\n\\t\\t\\tlock.transferMoney(myAccount,yourAccount,money);\\n\\t\\t\\tUtility.p(\\\"result myAccount:\\\" + myAccount );\\n\\t\\t\\tUtility.p(\\\"result yourAccount:\\\" + yourAccount);\\n\\t\\t\\tbreak;\\n\\t\\tcase yourAccountMyAccountHash:\\n\\t\\t\\tlock.transferMoney(yourAccount,myAccount,money);\\n\\t\\t\\tUtility.p(\\\"result yourAccount:\\\" + yourAccount);\\n\\t\\t\\tUtility.p(\\\"result myAccount:\\\" + myAccount );\\n\\t\\t\\tbreak;\\n\\t\\tdefault:\\n\\t\\t\\tUtility.p(\\\"illegal type:\\\" + callType);\\n\\t\\t\\tthrow new IllegalArgumentException();\\n\\t\\t}\\n\\t\\treturn null;\\n\\t}finally {\\n\\t\\tUtility.p(\\\"exiting\\\");\\n\\t}\\n\\t}\",\n \"private void automaticPayment(String accountName, String reciever, String billName, final int amount, String date) {\\n Log.d(TAG, \\\"makeTransaction: Has been called\\\");\\n final DocumentReference senderDocRef = db.collection(\\\"users\\\").document(user.getEmail())\\n .collection(\\\"accounts\\\").document(accountName);\\n\\n final DocumentReference recieverDocRef = db.collection(\\\"companies\\\").document(reciever);\\n\\n final DocumentReference billDocRef = db.collection(\\\"companies\\\").document(reciever).collection(\\\"customer\\\")\\n .document(user.getEmail()).collection(\\\"bills\\\").document(billName);\\n\\n db.runTransaction(new Transaction.Function<Void>() {\\n @Override\\n public Void apply(Transaction transaction) throws FirebaseFirestoreException {\\n DocumentSnapshot sender = transaction.get(senderDocRef);\\n DocumentSnapshot reciever = transaction.get(recieverDocRef);\\n\\n\\n int senderBalance = sender.getLong(\\\"balance\\\").intValue();\\n int recieverBalance = reciever.getLong(\\\"amount\\\").intValue();\\n int transactionBalance = Math.abs(amount);\\n\\n if (senderBalance >= transactionBalance) {\\n transaction.update(senderDocRef, \\\"balance\\\", senderBalance - transactionBalance);\\n transaction.update(recieverDocRef, \\\"amount\\\", recieverBalance + transactionBalance);\\n transaction.update(billDocRef, \\\"isPaid\\\", true);\\n\\n\\n SimpleDateFormat dateformat = new SimpleDateFormat(\\\"dd-MM-yyyy\\\");\\n Date newDate = new Date();\\n Calendar cal = Calendar.getInstance();\\n cal.setTime(newDate);\\n cal.add(Calendar.MONTH, 1);\\n newDate = cal.getTime();\\n transaction.update(billDocRef, \\\"recurring\\\", dateformat.format(newDate));\\n } else {\\n Log.d(TAG, \\\"apply: Transaction ikke fuldført\\\");\\n }\\n\\n // Success\\n return null;\\n }\\n }).addOnSuccessListener(new OnSuccessListener<Void>() {\\n @Override\\n public void onSuccess(Void aVoid) {\\n Log.d(TAG, \\\"Transaction success!\\\");\\n }\\n })\\n .addOnFailureListener(new OnFailureListener() {\\n @Override\\n public void onFailure(@NonNull Exception e) {\\n Log.w(TAG, \\\"Transaction failure.\\\", e);\\n }\\n });\\n\\n }\",\n \"public void deposit (int amount) {\\n if (amount >= 0) {\\n balance = balance + amount;\\n valueDeposits = valueDeposits + amount;\\n if (balance > maximumBalance) {\\n maximumBalance = balance;\\n }\\n }\\n }\",\n \"private void makeTransfer(String withdrawAmt, String depositAcct){\\n //assume this will come as numbers only (Keyboard restricted to numbers)\\n Double transferAmt = Double.valueOf(withdrawAmt);\\n\\n //make transfer\\n customer.transferFund(currAcctName, depositAcct, transferAmt);\\n\\n //reset transfer value\\n ((EditText)findViewById(R.id.transferAmt)).setText(\\\"\\\");\\n\\n //update balance\\n ((TextView) findViewById(R.id.fromAmt)).setText(customer.getBalanceString(currAcctName));\\n }\",\n \"void withdraw(double amount) {\\n try {Thread.sleep(10l);} catch (InterruptedException e) {}\\r\\n balance -= amount;\\r\\n System.out.println(\\\"Inside withdraw\\\"+ balance);\\r\\n }\",\n \"public void deposit (double amount)\\n {\\n imposeTransactionFee ();\\n super.deposit (amount);\\n }\",\n \"public static void main(String[] args) throws Exception {\\n Scanner scanner = new Scanner(System.in);\\n\\n currentAccounts.put(\\\"Jennifer\\\", 100.00);\\n currentAccounts.put(\\\"Ben\\\", 30.00);\\n\\n\\n while (true) {\\n\\n System.out.println(\\\"\\\\nWelcome!\\\");\\n System.out.println(\\\"Please enter your account name?\\\");\\n\\n String account = scanner.nextLine();\\n\\n\\n if (!currentAccounts.containsKey(account)) {\\n System.out.println(\\\"You do not currently have an account.\\\\n Would you like to create one? [y/n]\\\");\\n String newAccount = scanner.nextLine();\\n\\n if (newAccount.equalsIgnoreCase(\\\"y\\\")) {\\n currentAccounts.put(account, 0.00);\\n System.out.println(\\\"Your account has been created. \\\" +\\n \\\"Your current balance is $\\\" + currentAccounts.get(account));\\n\\n } else {\\n System.out.println(\\\"Thank you\\\");\\n continue;\\n }\\n } else {\\n System.out.println(\\\"Hello \\\" + account + \\\"!\\\");\\n\\n }\\n\\n int session = 1;\\n while (session == 1) {\\n\\n double balance = currentAccounts.get(account);\\n\\n System.out.println(\\\"\\\\nWhat would you like to do today?\\\\n\\\" +\\n \\\"1. Check my balance\\\\n\\\" +\\n \\\"2. Make a withdrawal\\\\n\\\" +\\n \\\"3. Make a deposit\\\\n\\\" +\\n \\\"4. Transfer funds\\\\n\\\" +\\n \\\"5. Cancel my account\\\\n\\\" +\\n \\\"6. Log out\\\");\\n\\n int activity = scanner.nextInt();\\n\\n switch (activity) {\\n case 1:\\n System.out.println(\\\"Your current balance is \\\" + balance);\\n break;\\n\\n case 2:\\n System.out.println(\\\"How much would you like to withdraw today?\\\");\\n int withdrawAmount = scanner.nextInt(); // want to bring over from atm class, but cant figure out how to bring over balance\\n\\n if (withdrawAmount > balance) {\\n System.out.println(\\\"You do not have enough money.\\\"); // changed this to error because exception can't continue the loop?\\n break;\\n } else if (withdrawAmount % 5 != 0) {\\n System.out.println(\\\"Please enter in multiples of $5, $10 or $20\\\");\\n break;\\n } else {\\n System.out.println(\\\"Please take your $\\\" + withdrawAmount);\\n currentAccounts.put(account, currentAccounts.get(account) - withdrawAmount);\\n System.out.println(\\\"Your current balance is $\\\" + (balance - withdrawAmount));\\n break;\\n }\\n\\n case 3:\\n System.out.println(\\\"How much would you like to deposit today?\\\");\\n int depositAmount = scanner.nextInt();\\n\\n System.out.println(\\\"You have deposited $\\\" + depositAmount);\\n System.out.println(\\\"Your current balance is $\\\" + (balance + depositAmount));\\n currentAccounts.put(account, currentAccounts.get(account) + depositAmount);\\n break;\\n\\n case 4:\\n scanner.nextLine(); // if i don't have this then it's taking inputs from before, this way it refreshes the input\\n System.out.println(\\\"Enter the account name to which you wish to transfer funds.\\\");\\n String accountTransfer = scanner.nextLine();\\n\\n System.out.println(\\\"Enter the amount you would like to transfer.\\\");\\n double transferAmount = scanner.nextInt();\\n\\n // add or subtract transfer amount from hashmap\\n currentAccounts.put(account, currentAccounts.get(account) - transferAmount);\\n currentAccounts.put(accountTransfer, currentAccounts.get(accountTransfer) + transferAmount);\\n\\n System.out.println(\\\"Your current balance is now $\\\" + currentAccounts.get(account));\\n break;\\n\\n case 5: //\\n System.out.println(\\\"Are you sure you want to cancel your account today [y/n]?\\\");\\n scanner.nextLine(); // if i don't have this then it's taking inputs from before. This way it input refreshes.\\n String cancel = scanner.nextLine();\\n\\n if (cancel.equalsIgnoreCase(\\\"y\\\")) {\\n currentAccounts.remove(account);\\n System.out.println(\\\"We are sorry to see you go\\\");\\n session = 0;\\n } else {\\n System.out.println(\\\"Great, you are a valued customer.\\\");\\n }\\n break;\\n\\n case 6:\\n System.out.println(\\\"Thank you and please come again.\\\");\\n session = 0;\\n scanner.nextLine(); // if i don't have this then it's taking inputs from before, this way it refreshes the input\\n break;\\n }\\n\\n\\n }\\n\\n\\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list 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not found."},"document":{"kind":"string","value":"public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // BID_PRICE4\n return BID_PRICE4;\n case 2: // BID_VOLUME4\n return BID_VOLUME4;\n case 3: // BID_PRICE5\n return BID_PRICE5;\n case 4: // BID_VOLUME5\n return BID_VOLUME5;\n default:\n return null;\n }\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // REFERRAL_LOG_IDS\n return REFERRAL_LOG_IDS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // REFERRAL_LOG_ID\n return REFERRAL_LOG_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // RECOM_ID\n return RECOM_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // BINDING_PARAMS\n return BINDING_PARAMS;\n case 2: // BIND_SOURCE\n return BIND_SOURCE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n case 2: // USER_EMPLOYEE_DOS\n return USER_EMPLOYEE_DOS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // RESOURCE_PLAN_NAME\n return RESOURCE_PLAN_NAME;\n case 2: // POOL_PATH\n return POOL_PATH;\n case 3: // ALLOC_FRACTION\n return ALLOC_FRACTION;\n case 4: // QUERY_PARALLELISM\n return QUERY_PARALLELISM;\n case 5: // SCHEDULING_POLICY\n return SCHEDULING_POLICY;\n case 6: // IS_SET_SCHEDULING_POLICY\n return IS_SET_SCHEDULING_POLICY;\n case 7: // NS\n return NS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // PAGE_NUMBER\n return PAGE_NUMBER;\n case 4: // PAGE_SIZE\n return PAGE_SIZE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // USER_ID\n return USER_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // CUSTOM_VALUES\n return CUSTOM_VALUES;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // USER_ID\n return USER_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // CUSTOM_VALUES\n return CUSTOM_VALUES;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // USER_ID\n return USER_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // TOTAL_FILES_MATERIALIZED_COUNT\n return TOTAL_FILES_MATERIALIZED_COUNT;\n case 2: // FILES_MATERIALIZED_FROM_CASCOUNT\n return FILES_MATERIALIZED_FROM_CASCOUNT;\n case 3: // TOTAL_TIME_SPENT_MATERIALIZING_FILES_FROM_CASMILLIS\n return TOTAL_TIME_SPENT_MATERIALIZING_FILES_FROM_CASMILLIS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n case 2: // USER_ID\n return USER_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // USER_ID\n return USER_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // SOURCE\n return SOURCE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // TIMESPAN\n return TIMESPAN;\n case 4: // PAGE_NUM\n return PAGE_NUM;\n case 5: // PAGE_SIZE\n return PAGE_SIZE;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMB_INSTRUMENT_ID\n return COMB_INSTRUMENT_ID;\n case 2: // LEG_ID\n return LEG_ID;\n case 3: // LEG_INSTRUMENT_ID\n return LEG_INSTRUMENT_ID;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n 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}","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n default:\r\n return null;\r\n }\r\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // USER_ID\n return USER_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // USER_ID\n return USER_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // CUSTOM_VALUES\n return CUSTOM_VALUES;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // ACTIVATION_CODEE\n return ACTIVATION_CODEE;\n case 2: // BIND_EMAIL_SOURCE\n return BIND_EMAIL_SOURCE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // DATA\n return DATA;\n case 2: // FILE_ID\n return FILE_ID;\n case 3: // SIZE\n return SIZE;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // FILE_PATH\n return FILE_PATH;\n case 2: // OUTPUT_DIR\n return OUTPUT_DIR;\n case 3: // SUBSET\n return SUBSET;\n case 4: // TYPES\n return TYPES;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // ID\n return ID;\n case 2: // PROCESS_ID\n return PROCESS_ID;\n case 3: // APPLICATION_INTERFACE_ID\n return APPLICATION_INTERFACE_ID;\n case 4: // COMPUTE_RESOURCE_ID\n return COMPUTE_RESOURCE_ID;\n case 5: // QUEUE_NAME\n return QUEUE_NAME;\n case 6: // NODE_COUNT\n return NODE_COUNT;\n case 7: // CORE_COUNT\n return CORE_COUNT;\n case 8: // WALL_TIME_LIMIT\n return WALL_TIME_LIMIT;\n case 9: // PHYSICAL_MEMORY\n return PHYSICAL_MEMORY;\n case 10: // STATUSES\n return STATUSES;\n case 11: // ERRORS\n return ERRORS;\n case 12: // CREATED_AT\n return CREATED_AT;\n case 13: // UPDATED_AT\n return UPDATED_AT;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // PARAM_MAP\n return PARAM_MAP;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // ACCOUNT_IDS\n return ACCOUNT_IDS;\n case 2: // COMMODITY_IDS\n return COMMODITY_IDS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n case 2: // TYPE\n return TYPE;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // M_COMMAND_TYPE\n return M_COMMAND_TYPE;\n case 2: // M_BLOCK_IDS\n return M_BLOCK_IDS;\n case 3: // M_FILE_PATH\n return M_FILE_PATH;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // USER_ID\n return USER_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // USER_ID\n return USER_ID;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // ACCESS_KEY\n return ACCESS_KEY;\n case 2: // ENTITY_IDS\n return ENTITY_IDS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // PID\n return PID;\n case 2: // CUS_PER_BASE\n return CUS_PER_BASE;\n case 3: // TOTAL_ASSETS\n return TOTAL_ASSETS;\n case 4: // TOTAL_LIAB\n return TOTAL_LIAB;\n case 5: // FAMILY_ASSETS\n return FAMILY_ASSETS;\n case 6: // YEAR_PAY\n return YEAR_PAY;\n case 7: // MONTH_WAGE\n return MONTH_WAGE;\n case 8: // FAMILY_INCOME\n return FAMILY_INCOME;\n case 9: // FAMILY_CONTROL\n return FAMILY_CONTROL;\n case 10: // STATUS\n return STATUS;\n case 11: // ASSETS_DETAIL\n return ASSETS_DETAIL;\n case 12: // LIAB_DETAIL\n return LIAB_DETAIL;\n case 13: // MONTHLY_PAYMENT\n return MONTHLY_PAYMENT;\n case 14: // OVERDRAFT\n return OVERDRAFT;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // NOME\n return NOME;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // NOME\n return NOME;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // FILE_PATH\n return FILE_PATH;\n case 2: // DIR_NAME\n return DIR_NAME;\n case 3: // FILE_LENGTH\n return FILE_LENGTH;\n case 4: // DK_FILE_CONF\n return DK_FILE_CONF;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // FILE_PATH\n return FILE_PATH;\n case 2: // DIR_NAME\n return DIR_NAME;\n case 3: // FILE_LENGTH\n return FILE_LENGTH;\n case 4: // DK_FILE_CONF\n return DK_FILE_CONF;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // LOG_INFO\n return LOG_INFO;\n case 2: // PARAMS\n return PARAMS;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // LOG_INFO\n return LOG_INFO;\n case 2: // PARAMS\n return PARAMS;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // LOG_INFO\n return LOG_INFO;\n case 2: // PARAMS\n return PARAMS;\n default:\n return null;\n }\n }"],"string":"[\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // REFERRAL_LOG_IDS\\n return REFERRAL_LOG_IDS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // REFERRAL_LOG_ID\\n return REFERRAL_LOG_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // RECOM_ID\\n return RECOM_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // BINDING_PARAMS\\n return BINDING_PARAMS;\\n case 2: // BIND_SOURCE\\n return BIND_SOURCE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n case 2: // USER_EMPLOYEE_DOS\\n return USER_EMPLOYEE_DOS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // RESOURCE_PLAN_NAME\\n return RESOURCE_PLAN_NAME;\\n case 2: // POOL_PATH\\n return POOL_PATH;\\n case 3: // ALLOC_FRACTION\\n return ALLOC_FRACTION;\\n case 4: // QUERY_PARALLELISM\\n return QUERY_PARALLELISM;\\n case 5: // SCHEDULING_POLICY\\n return SCHEDULING_POLICY;\\n case 6: // IS_SET_SCHEDULING_POLICY\\n return IS_SET_SCHEDULING_POLICY;\\n case 7: // NS\\n return NS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // PAGE_NUMBER\\n return PAGE_NUMBER;\\n case 4: // PAGE_SIZE\\n return PAGE_SIZE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // USER_ID\\n return USER_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // CUSTOM_VALUES\\n return CUSTOM_VALUES;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // USER_ID\\n return USER_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // CUSTOM_VALUES\\n return CUSTOM_VALUES;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // USER_ID\\n return USER_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // TOTAL_FILES_MATERIALIZED_COUNT\\n return TOTAL_FILES_MATERIALIZED_COUNT;\\n case 2: // FILES_MATERIALIZED_FROM_CASCOUNT\\n return FILES_MATERIALIZED_FROM_CASCOUNT;\\n case 3: // TOTAL_TIME_SPENT_MATERIALIZING_FILES_FROM_CASMILLIS\\n return TOTAL_TIME_SPENT_MATERIALIZING_FILES_FROM_CASMILLIS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n case 2: // USER_ID\\n return USER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // USER_ID\\n return USER_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // SOURCE\\n return SOURCE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // TIMESPAN\\n return TIMESPAN;\\n case 4: // PAGE_NUM\\n return PAGE_NUM;\\n case 5: // PAGE_SIZE\\n return PAGE_SIZE;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMB_INSTRUMENT_ID\\n return COMB_INSTRUMENT_ID;\\n case 2: // LEG_ID\\n return LEG_ID;\\n case 3: // LEG_INSTRUMENT_ID\\n return LEG_INSTRUMENT_ID;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // USER_ID\\n return USER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // USER_ID\\n return USER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // CUSTOM_VALUES\\n return CUSTOM_VALUES;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // ACTIVATION_CODEE\\n return ACTIVATION_CODEE;\\n case 2: // BIND_EMAIL_SOURCE\\n return BIND_EMAIL_SOURCE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // DATA\\n return DATA;\\n case 2: // FILE_ID\\n return FILE_ID;\\n case 3: // SIZE\\n return SIZE;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // FILE_PATH\\n return FILE_PATH;\\n case 2: // OUTPUT_DIR\\n return OUTPUT_DIR;\\n case 3: // SUBSET\\n return SUBSET;\\n case 4: // TYPES\\n return TYPES;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // ID\\n return ID;\\n case 2: // PROCESS_ID\\n return PROCESS_ID;\\n case 3: // APPLICATION_INTERFACE_ID\\n return APPLICATION_INTERFACE_ID;\\n case 4: // COMPUTE_RESOURCE_ID\\n return COMPUTE_RESOURCE_ID;\\n case 5: // QUEUE_NAME\\n return QUEUE_NAME;\\n case 6: // NODE_COUNT\\n return NODE_COUNT;\\n case 7: // CORE_COUNT\\n return CORE_COUNT;\\n case 8: // WALL_TIME_LIMIT\\n return WALL_TIME_LIMIT;\\n case 9: // PHYSICAL_MEMORY\\n return PHYSICAL_MEMORY;\\n case 10: // STATUSES\\n return STATUSES;\\n case 11: // ERRORS\\n return ERRORS;\\n case 12: // CREATED_AT\\n return CREATED_AT;\\n case 13: // UPDATED_AT\\n return UPDATED_AT;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // PARAM_MAP\\n return PARAM_MAP;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // ACCOUNT_IDS\\n return ACCOUNT_IDS;\\n case 2: // COMMODITY_IDS\\n return COMMODITY_IDS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n case 2: // TYPE\\n return TYPE;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // M_COMMAND_TYPE\\n return M_COMMAND_TYPE;\\n case 2: // M_BLOCK_IDS\\n return M_BLOCK_IDS;\\n case 3: // M_FILE_PATH\\n return M_FILE_PATH;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // USER_ID\\n return USER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // USER_ID\\n return USER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // ACCESS_KEY\\n return ACCESS_KEY;\\n case 2: // ENTITY_IDS\\n return ENTITY_IDS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // PID\\n return PID;\\n case 2: // CUS_PER_BASE\\n return CUS_PER_BASE;\\n case 3: // TOTAL_ASSETS\\n return TOTAL_ASSETS;\\n case 4: // TOTAL_LIAB\\n return TOTAL_LIAB;\\n case 5: // FAMILY_ASSETS\\n return FAMILY_ASSETS;\\n case 6: // YEAR_PAY\\n return YEAR_PAY;\\n case 7: // MONTH_WAGE\\n return MONTH_WAGE;\\n case 8: // FAMILY_INCOME\\n return FAMILY_INCOME;\\n case 9: // FAMILY_CONTROL\\n return FAMILY_CONTROL;\\n case 10: // STATUS\\n return STATUS;\\n case 11: // ASSETS_DETAIL\\n return ASSETS_DETAIL;\\n case 12: // LIAB_DETAIL\\n return LIAB_DETAIL;\\n case 13: // MONTHLY_PAYMENT\\n return MONTHLY_PAYMENT;\\n case 14: // OVERDRAFT\\n return OVERDRAFT;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // NOME\\n return NOME;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // NOME\\n return NOME;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // FILE_PATH\\n return FILE_PATH;\\n case 2: // DIR_NAME\\n return DIR_NAME;\\n case 3: // FILE_LENGTH\\n return FILE_LENGTH;\\n case 4: // DK_FILE_CONF\\n return DK_FILE_CONF;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // FILE_PATH\\n return FILE_PATH;\\n case 2: // DIR_NAME\\n return DIR_NAME;\\n case 3: // FILE_LENGTH\\n return FILE_LENGTH;\\n case 4: // DK_FILE_CONF\\n return DK_FILE_CONF;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // LOG_INFO\\n return LOG_INFO;\\n case 2: // PARAMS\\n return PARAMS;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // LOG_INFO\\n return LOG_INFO;\\n case 2: // PARAMS\\n return PARAMS;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // LOG_INFO\\n return LOG_INFO;\\n case 2: // PARAMS\\n return PARAMS;\\n default:\\n return null;\\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.79869914\",\n \"0.7915354\",\n \"0.78808534\",\n \"0.78808534\",\n \"0.78808534\",\n \"0.78808534\",\n \"0.78808534\",\n \"0.78808534\",\n \"0.77862614\",\n \"0.7779145\",\n \"0.77291805\",\n \"0.7727816\",\n \"0.7721567\",\n \"0.77125883\",\n \"0.77125883\",\n \"0.7709597\",\n \"0.7708822\",\n \"0.7701162\",\n \"0.7699386\",\n \"0.76957756\",\n \"0.7687628\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76785046\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.76718855\",\n \"0.766961\",\n \"0.766961\",\n \"0.7663572\",\n \"0.76630384\",\n \"0.76630384\",\n \"0.76630384\",\n \"0.76630384\",\n \"0.76630384\",\n \"0.76630384\",\n \"0.76630384\",\n \"0.7648934\",\n \"0.7644055\",\n \"0.764325\",\n \"0.7634706\",\n \"0.76222456\",\n \"0.76209694\",\n \"0.7618461\",\n \"0.76121426\",\n \"0.76118654\",\n \"0.76118654\",\n \"0.760653\",\n \"0.760217\",\n \"0.760217\",\n \"0.760217\",\n \"0.760217\",\n \"0.760217\",\n \"0.7600617\",\n \"0.75965196\",\n \"0.75965196\",\n \"0.75958437\",\n \"0.75958437\",\n \"0.7593029\",\n \"0.7593029\",\n \"0.7593029\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":32595,"cells":{"query":{"kind":"string","value":"Find the _Fields constant that matches fieldId, throwing an exception if it is not found."},"document":{"kind":"string","value":"public static _Fields findByThriftIdOrThrow(int fieldId) {\n _Fields fields = findByThriftId(fieldId);\n if (fields == null) throw new IllegalArgumentException(\"Field \" + fieldId + \" doesn't exist!\");\n return fields;\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // REFERRAL_LOG_IDS\n return REFERRAL_LOG_IDS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // REFERRAL_LOG_ID\n return REFERRAL_LOG_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // USER_ID\n return USER_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // USER_ID\n return USER_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // RECOM_ID\n return RECOM_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // ID\n return ID;\n case 2: // PROCESS_ID\n return PROCESS_ID;\n case 3: // APPLICATION_INTERFACE_ID\n return APPLICATION_INTERFACE_ID;\n case 4: // COMPUTE_RESOURCE_ID\n return COMPUTE_RESOURCE_ID;\n case 5: // QUEUE_NAME\n return QUEUE_NAME;\n case 6: // NODE_COUNT\n return NODE_COUNT;\n case 7: // CORE_COUNT\n return CORE_COUNT;\n case 8: // WALL_TIME_LIMIT\n return WALL_TIME_LIMIT;\n case 9: // PHYSICAL_MEMORY\n return PHYSICAL_MEMORY;\n case 10: // STATUSES\n return STATUSES;\n case 11: // ERRORS\n return ERRORS;\n case 12: // CREATED_AT\n return CREATED_AT;\n case 13: // UPDATED_AT\n return UPDATED_AT;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // PID\n return PID;\n case 2: // EXCEPTION_ID\n return EXCEPTION_ID;\n case 3: // USER_ID\n return USER_ID;\n case 4: // REPORT_DATE\n return REPORT_DATE;\n case 5: // UN_ASSURE_CONDITION\n return UN_ASSURE_CONDITION;\n case 6: // HOUSE_PROPERY_CONDITION\n return HOUSE_PROPERY_CONDITION;\n case 7: // REMARK\n return REMARK;\n case 8: // CREATE_DATE\n return CREATE_DATE;\n case 9: // CREATE_ID\n return CREATE_ID;\n case 10: // UPDATE_DATE\n return UPDATE_DATE;\n case 11: // UPDATE_ID\n return UPDATE_ID;\n case 12: // PROJECT_ID\n return PROJECT_ID;\n case 13: // LEGAL_LIST\n return LEGAL_LIST;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // USER_ID\n return USER_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // USER_ID\n return USER_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // SOURCE\n return SOURCE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n case 2: // USER_EMPLOYEE_DOS\n return USER_EMPLOYEE_DOS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n case 2: // USER_ID\n return USER_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // PAGE_NUMBER\n return PAGE_NUMBER;\n case 4: // PAGE_SIZE\n return PAGE_SIZE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // TIMESPAN\n return TIMESPAN;\n case 4: // PAGE_NUM\n return PAGE_NUM;\n case 5: // PAGE_SIZE\n return PAGE_SIZE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // BINDING_PARAMS\n return BINDING_PARAMS;\n case 2: // BIND_SOURCE\n return BIND_SOURCE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // USER_ID\n return USER_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // USER_ID\n return USER_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // USER_ID\n return USER_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // CUSTOM_VALUES\n return CUSTOM_VALUES;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // USER_ID\n return USER_ID;\n case 2: // COMPANY_ID\n return COMPANY_ID;\n case 3: // CUSTOM_VALUES\n return CUSTOM_VALUES;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // CUSTOM_VALUES\n return CUSTOM_VALUES;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // ACTIVATION_CODEE\n return ACTIVATION_CODEE;\n case 2: // BIND_EMAIL_SOURCE\n return BIND_EMAIL_SOURCE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EMPLOYEE_ID\n return EMPLOYEE_ID;\n case 2: // POSITION_ID\n return POSITION_ID;\n case 3: // TYPE\n return TYPE;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 0: // SUCCESS\n return SUCCESS;\n case 1: // E\n return E;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // APP_CODE\n \treturn APP_CODE;\n case 2: // REQUEST_DATE\n \treturn REQUEST_DATE;\n case 3: // SIGN\n \treturn SIGN;\n case 4: // SP_ID\n \treturn SP_ID;\n case 5: // OUT_ORDER_ID\n \treturn OUT_ORDER_ID;\n case 6: // DEVICE_NO\n \treturn DEVICE_NO;\n case 7: // DEVICE_TYPE\n \treturn DEVICE_TYPE;\n case 8: // PROVINCE_ID\n \treturn PROVINCE_ID;\n case 9: // CUST_ID\n \treturn CUST_ID;\n case 10: // NUM\n \treturn NUM;\n case 11: // REMARK\n \treturn REMARK;\n case 12: // ACTIVE_ID\n \treturn ACTIVE_ID;\n case 13: // EXP_TIME\n \treturn EXP_TIME;\n default:\n \treturn null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // DATA\n return DATA;\n case 2: // FILE_ID\n return FILE_ID;\n case 3: // SIZE\n return SIZE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\r\n public static _Fields findByThriftId(int fieldId) {\r\n switch(fieldId) {\r\n case 1: // ID\r\n return ID;\r\n case 2: // ID_CURSA\r\n return ID_CURSA;\r\n case 3: // NR_LOC\r\n return NR_LOC;\r\n case 4: // CLIENT\r\n return CLIENT;\r\n default:\r\n return null;\r\n }\r\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EXEC_TRADE_ID\n return EXEC_TRADE_ID;\n case 2: // SUB_ACCOUNT_ID\n return SUB_ACCOUNT_ID;\n case 3: // SLED_CONTRACT_ID\n return SLED_CONTRACT_ID;\n case 4: // EXEC_ORDER_ID\n return EXEC_ORDER_ID;\n case 5: // TRADE_PRICE\n return TRADE_PRICE;\n case 6: // TRADE_VOLUME\n return TRADE_VOLUME;\n case 7: // EXEC_TRADE_DIRECTION\n return EXEC_TRADE_DIRECTION;\n case 8: // CREATE_TIMESTAMP_MS\n return CREATE_TIMESTAMP_MS;\n case 9: // LASTMODIFY_TIMESTAMP_MS\n return LASTMODIFY_TIMESTAMP_MS;\n case 10: // SLED_COMMODITY_ID\n return SLED_COMMODITY_ID;\n case 11: // CONFIG\n return CONFIG;\n case 12: // ORDER_TOTAL_VOLUME\n return ORDER_TOTAL_VOLUME;\n case 13: // LIMIT_PRICE\n return LIMIT_PRICE;\n case 14: // SOURCE\n return SOURCE;\n case 15: // TRADE_ACCOUNT_ID\n return TRADE_ACCOUNT_ID;\n case 16: // TRADE_TIMESTAMP_MS\n return TRADE_TIMESTAMP_MS;\n case 17: // ASSET_TRADE_DETAIL_ID\n return ASSET_TRADE_DETAIL_ID;\n case 18: // SUB_USER_ID\n return SUB_USER_ID;\n case 19: // SLED_ORDER_ID\n return SLED_ORDER_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // RESOURCE_PLAN_NAME\n return RESOURCE_PLAN_NAME;\n case 2: // POOL_PATH\n return POOL_PATH;\n case 3: // ALLOC_FRACTION\n return ALLOC_FRACTION;\n case 4: // QUERY_PARALLELISM\n return QUERY_PARALLELISM;\n case 5: // SCHEDULING_POLICY\n return SCHEDULING_POLICY;\n case 6: // IS_SET_SCHEDULING_POLICY\n return IS_SET_SCHEDULING_POLICY;\n case 7: // NS\n return NS;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n case 2: // TYPE\n return TYPE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // CONF\n return CONF;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // CONTRACT_ADDRESS\n return CONTRACT_ADDRESS;\n case 2: // OBJECT\n return OBJECT;\n case 3: // STATE_CAN_MODIFY\n return STATE_CAN_MODIFY;\n default:\n return null;\n }\n }","public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // EX\n return EX;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // ID\n return ID;\n case 2: // TYPE\n return TYPE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // ID\n return ID;\n case 2: // TYPE\n return TYPE;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }","@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // COMPANY_ID\n return COMPANY_ID;\n default:\n return null;\n }\n }"],"string":"[\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // REFERRAL_LOG_IDS\\n return REFERRAL_LOG_IDS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // REFERRAL_LOG_ID\\n return REFERRAL_LOG_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // USER_ID\\n return USER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // USER_ID\\n return USER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // RECOM_ID\\n return RECOM_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // ID\\n return ID;\\n case 2: // PROCESS_ID\\n return PROCESS_ID;\\n case 3: // APPLICATION_INTERFACE_ID\\n return APPLICATION_INTERFACE_ID;\\n case 4: // COMPUTE_RESOURCE_ID\\n return COMPUTE_RESOURCE_ID;\\n case 5: // QUEUE_NAME\\n return QUEUE_NAME;\\n case 6: // NODE_COUNT\\n return NODE_COUNT;\\n case 7: // CORE_COUNT\\n return CORE_COUNT;\\n case 8: // WALL_TIME_LIMIT\\n return WALL_TIME_LIMIT;\\n case 9: // PHYSICAL_MEMORY\\n return PHYSICAL_MEMORY;\\n case 10: // STATUSES\\n return STATUSES;\\n case 11: // ERRORS\\n return ERRORS;\\n case 12: // CREATED_AT\\n return CREATED_AT;\\n case 13: // UPDATED_AT\\n return UPDATED_AT;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // PID\\n return PID;\\n case 2: // EXCEPTION_ID\\n return EXCEPTION_ID;\\n case 3: // USER_ID\\n return USER_ID;\\n case 4: // REPORT_DATE\\n return REPORT_DATE;\\n case 5: // UN_ASSURE_CONDITION\\n return UN_ASSURE_CONDITION;\\n case 6: // HOUSE_PROPERY_CONDITION\\n return HOUSE_PROPERY_CONDITION;\\n case 7: // REMARK\\n return REMARK;\\n case 8: // CREATE_DATE\\n return CREATE_DATE;\\n case 9: // CREATE_ID\\n return CREATE_ID;\\n case 10: // UPDATE_DATE\\n return UPDATE_DATE;\\n case 11: // UPDATE_ID\\n return UPDATE_ID;\\n case 12: // PROJECT_ID\\n return PROJECT_ID;\\n case 13: // LEGAL_LIST\\n return LEGAL_LIST;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // USER_ID\\n return USER_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // USER_ID\\n return USER_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // SOURCE\\n return SOURCE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n case 2: // USER_EMPLOYEE_DOS\\n return USER_EMPLOYEE_DOS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n case 2: // USER_ID\\n return USER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // PAGE_NUMBER\\n return PAGE_NUMBER;\\n case 4: // PAGE_SIZE\\n return PAGE_SIZE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // TIMESPAN\\n return TIMESPAN;\\n case 4: // PAGE_NUM\\n return PAGE_NUM;\\n case 5: // PAGE_SIZE\\n return PAGE_SIZE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // BINDING_PARAMS\\n return BINDING_PARAMS;\\n case 2: // BIND_SOURCE\\n return BIND_SOURCE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // USER_ID\\n return USER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // USER_ID\\n return USER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // USER_ID\\n return USER_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // CUSTOM_VALUES\\n return CUSTOM_VALUES;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // USER_ID\\n return USER_ID;\\n case 2: // COMPANY_ID\\n return COMPANY_ID;\\n case 3: // CUSTOM_VALUES\\n return CUSTOM_VALUES;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // CUSTOM_VALUES\\n return CUSTOM_VALUES;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // ACTIVATION_CODEE\\n return ACTIVATION_CODEE;\\n case 2: // BIND_EMAIL_SOURCE\\n return BIND_EMAIL_SOURCE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EMPLOYEE_ID\\n return EMPLOYEE_ID;\\n case 2: // POSITION_ID\\n return POSITION_ID;\\n case 3: // TYPE\\n return TYPE;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 0: // SUCCESS\\n return SUCCESS;\\n case 1: // E\\n return E;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // APP_CODE\\n \\treturn APP_CODE;\\n case 2: // REQUEST_DATE\\n \\treturn REQUEST_DATE;\\n case 3: // SIGN\\n \\treturn SIGN;\\n case 4: // SP_ID\\n \\treturn SP_ID;\\n case 5: // OUT_ORDER_ID\\n \\treturn OUT_ORDER_ID;\\n case 6: // DEVICE_NO\\n \\treturn DEVICE_NO;\\n case 7: // DEVICE_TYPE\\n \\treturn DEVICE_TYPE;\\n case 8: // PROVINCE_ID\\n \\treturn PROVINCE_ID;\\n case 9: // CUST_ID\\n \\treturn CUST_ID;\\n case 10: // NUM\\n \\treturn NUM;\\n case 11: // REMARK\\n \\treturn REMARK;\\n case 12: // ACTIVE_ID\\n \\treturn ACTIVE_ID;\\n case 13: // EXP_TIME\\n \\treturn EXP_TIME;\\n default:\\n \\treturn null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // DATA\\n return DATA;\\n case 2: // FILE_ID\\n return FILE_ID;\\n case 3: // SIZE\\n return SIZE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\r\\n public static _Fields findByThriftId(int fieldId) {\\r\\n switch(fieldId) {\\r\\n case 1: // ID\\r\\n return ID;\\r\\n case 2: // ID_CURSA\\r\\n return ID_CURSA;\\r\\n case 3: // NR_LOC\\r\\n return NR_LOC;\\r\\n case 4: // CLIENT\\r\\n return CLIENT;\\r\\n default:\\r\\n return null;\\r\\n }\\r\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EXEC_TRADE_ID\\n return EXEC_TRADE_ID;\\n case 2: // SUB_ACCOUNT_ID\\n return SUB_ACCOUNT_ID;\\n case 3: // SLED_CONTRACT_ID\\n return SLED_CONTRACT_ID;\\n case 4: // EXEC_ORDER_ID\\n return EXEC_ORDER_ID;\\n case 5: // TRADE_PRICE\\n return TRADE_PRICE;\\n case 6: // TRADE_VOLUME\\n return TRADE_VOLUME;\\n case 7: // EXEC_TRADE_DIRECTION\\n return EXEC_TRADE_DIRECTION;\\n case 8: // CREATE_TIMESTAMP_MS\\n return CREATE_TIMESTAMP_MS;\\n case 9: // LASTMODIFY_TIMESTAMP_MS\\n return LASTMODIFY_TIMESTAMP_MS;\\n case 10: // SLED_COMMODITY_ID\\n return SLED_COMMODITY_ID;\\n case 11: // CONFIG\\n return CONFIG;\\n case 12: // ORDER_TOTAL_VOLUME\\n return ORDER_TOTAL_VOLUME;\\n case 13: // LIMIT_PRICE\\n return LIMIT_PRICE;\\n case 14: // SOURCE\\n return SOURCE;\\n case 15: // TRADE_ACCOUNT_ID\\n return TRADE_ACCOUNT_ID;\\n case 16: // TRADE_TIMESTAMP_MS\\n return TRADE_TIMESTAMP_MS;\\n case 17: // ASSET_TRADE_DETAIL_ID\\n return ASSET_TRADE_DETAIL_ID;\\n case 18: // SUB_USER_ID\\n return SUB_USER_ID;\\n case 19: // SLED_ORDER_ID\\n return SLED_ORDER_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // RESOURCE_PLAN_NAME\\n return RESOURCE_PLAN_NAME;\\n case 2: // POOL_PATH\\n return POOL_PATH;\\n case 3: // ALLOC_FRACTION\\n return ALLOC_FRACTION;\\n case 4: // QUERY_PARALLELISM\\n return QUERY_PARALLELISM;\\n case 5: // SCHEDULING_POLICY\\n return SCHEDULING_POLICY;\\n case 6: // IS_SET_SCHEDULING_POLICY\\n return IS_SET_SCHEDULING_POLICY;\\n case 7: // NS\\n return NS;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n case 2: // TYPE\\n return TYPE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // CONF\\n return CONF;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // CONTRACT_ADDRESS\\n return CONTRACT_ADDRESS;\\n case 2: // OBJECT\\n return OBJECT;\\n case 3: // STATE_CAN_MODIFY\\n return STATE_CAN_MODIFY;\\n default:\\n return null;\\n }\\n }\",\n \"public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // EX\\n return EX;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // ID\\n return ID;\\n case 2: // TYPE\\n return TYPE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // ID\\n return ID;\\n case 2: // TYPE\\n return TYPE;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByThriftId(int fieldId) {\\n switch(fieldId) {\\n case 1: // COMPANY_ID\\n return COMPANY_ID;\\n default:\\n return null;\\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n 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\"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n public static _Fields findByName(java.lang.String name) {\\n return byName.get(name);\\n }\",\n \"public static _Fields findByName(String name) {\\r\\n return byName.get(name);\\r\\n }\",\n \"public static _Fields findByName(String name) {\\r\\n return byName.get(name);\\r\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\r\\n public static _Fields findByName(java.lang.String name) {\\r\\n return byName.get(name);\\r\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\r\\n public static _Fields findByName(java.lang.String name) {\\r\\n return byName.get(name);\\r\\n }\",\n \"@org.apache.thrift.annotation.Nullable\\n\\t\\tpublic static _Fields findByName(java.lang.String name) {\\n\\t\\t\\treturn byName.get(name);\\n\\t\\t}\",\n \"@org.apache.thrift.annotation.Nullable\\n\\t\\tpublic static _Fields findByName(java.lang.String name) {\\n\\t\\t\\treturn byName.get(name);\\n\\t\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n \"0.7641586\",\n 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other.__isset_bitfield;\n this.bidPrice4 = other.bidPrice4;\n this.bidVolume4 = other.bidVolume4;\n this.bidPrice5 = other.bidPrice5;\n this.bidVolume5 = other.bidVolume5;\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["Prototype makeCopy();","public void copy (WorldState other)\n\t{\n\t\tresetProperties();\n\t\t//Iterate through other state and clone it's properties into this states properties\n\t\tCollection<WorldStateProperty> otherProperties = other.properties.values();\n\t\tfor (WorldStateProperty property : otherProperties)\n\t\t{\n\t\t\tproperties.put(property.key, property.clone());\n\t\t}\n\t}","public void copyDataFrom(ParamUnit other)\r\n\t{\r\n\t\tif (this.data.row != other.data.row || this.data.col != other.data.col)\r\n\t\t\tthrow new DeepException(\"Cannot copy data from a different dimension.\");\r\n\t\tthis.data.copyFrom(other.data);\r\n\t}","private Path(Path other){\n\t\t\n\t\tthis.source = other.source;\n\t\tthis.destination = other.destination;\n\t\tthis.cities = other.cities;\n\t\t\n\t\tthis.cost = other.cost;\n\t\tthis.destination = other.destination;\n\t\t\n\t\tthis.connections = new LinkedList<Connection>();\n\t\t\n\t\tfor (Connection c : other.connections){\n\t\t\tthis.connections.add((Connection) c.clone());\n\t\t}\n\t\t\n\t}","@Override\n\tprotected void copy(Object source, Object dest) {\n\t\t\n\t}","public void copy() {\n\n\t}","public abstract B copy();","public CMObject copyOf();","public T cloneDeep();","public void copy(BlastGraph<HitVertex, ValueEdge> graphToCopy) {\n\t\t// empty this graph\n\t\tthis.empty();\n\n\t\t// union this empty graph with graphToCopy\n\t\tthis.union(graphToCopy);\n\t}","public void mirror(Dataset other) {\n clear();\n this.ntree.addAll(other.ntree);\n }","Model copy();","public abstract INodo copy();","static void setCopying(){isCopying=true;}","Nda<V> shallowCopy();","public CopyBuilder copy() {\n return new CopyBuilder(this);\n }","T copy();","@Override\n\t\tpublic ImmutableSequentialGraph copy() {\n\t\t\treturn new ComposedGraph( g0, g1.copy() );\n\t\t}","public void copy(DataRequest original){\n\t\t//potential problems with object sharing\n\t\tfilters = \toriginal.get_filters();\n\t\tsort_by = \toriginal.get_sort_by();\n\t\tcount = \toriginal.get_count();\n\t\tstart = \toriginal.get_start();\n\t\tsource = \toriginal.get_source();\n\t\tfieldset =\toriginal.get_fieldset();\n\t\trelation = \toriginal.get_relation();\n\t}","Component deepClone();","public Data assign(Data other) {\r\n this.setDimension(other.dimension);\r\n this.distanz = other.distanz;\r\n //for (int i = 0; i < this.dimension; ++i)\r\n for (int i = 0; i < this.dimension * 2; ++i) {\r\n this.data[i] = other.data[i];\r\n }\r\n this.id = other.id;\r\n return this;\r\n }","@Override\n public int deepCopy(AbstractRecord other)\n {\n return 0;\n }","public AST copy()\n {\n return new Implicate(left, right);\n }","@Override\n public void copyValues(final fr.jmmc.oiexplorer.core.model.OIBase other) {\n final View view = (View) other;\n\n // copy type, subsetDefinition (reference):\n this.type = view.getType();\n this.subsetDefinition = view.getSubsetDefinition();\n }","public Complex makeDeepCopy() {\r\n Complex complex2 = new Complex(this.getReal(), this.getImaginary());\r\n return complex2;\r\n }","public abstract Node copy();","protected void copy(Writable other) {\n\t\tif (other != null) {\n\t\t\ttry {\n\t\t\t\tDataOutputBuffer out = new DataOutputBuffer();\n\t\t\t\tother.write(out);\n\t\t\t\tDataInputBuffer in = new DataInputBuffer();\n\t\t\t\tin.reset(out.getData(), out.getLength());\n\t\t\t\treadFields(in);\n\t\t\t} catch (IOException e) {\n\t\t\t\tthrow new IllegalArgumentException(\"map cannot be copied: \" +\n\t\t\t\t\t\te.getMessage());\n\t\t\t}\n\t\t} else {\n\t\t\tthrow new IllegalArgumentException(\"source map cannot be null\");\n\t\t}\n\t}","protected void copyInto(Schedule other) {\r\n\t\tfor(int i = MIN_WEEKDAY; i <= MAX_WEEKDAY; i++)\r\n\t\t\tfor(int j = MIN_SEGMENT; j <= MAX_SEGMENT; j++)\r\n\t\t\t\tother.schedule[i][j] = schedule[i][j];\t\t\r\n\t}","public DTO(DTO other) {\n if (other.isSetDatas()) {\n Map<String,String> __this__datas = new HashMap<String,String>(other.datas);\n this.datas = __this__datas;\n }\n }","public Tree<K, V> copy() {\n\t\tTree<K, V> copy = EmptyTree.getInstance(), t = this;\n\t\treturn copy(t, copy);\n\t}","@Override\n\tpublic graph copy() {\n\t\tgraph copy = new DGraph();\n\t\tCollection<node_data> nColl = this.GA.getV();\n\t\tfor (node_data node : nColl) {\n\t\t\tnode_data temp = new Node((Node) node );\n\t\t\tcopy.addNode(node);\n\t\t}\n\t\tCollection<node_data> nColl2 = this.GA.getV();\n\t\tfor (node_data node1 : nColl2) {\n\t\t\tCollection<edge_data> eColl = this.GA.getE(node1.getKey());\n\t\t\tif (eColl!=null) {\n\t\t\t\tfor (edge_data edge : eColl) {\n\t\t\t\t\tcopy.connect(edge.getSrc(), edge.getDest(), edge.getWeight());\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn copy;\n\t}","Object clone();","Object clone();","@Override\n public FieldEntity copy()\n {\n return state.copy();\n }","private Shop deepCopy() {\n BookShop obj = null;\n try {\n obj = (BookShop) super.clone();\n List<Book> books = new ArrayList<>();\n Iterator<Book> iterator = this.getBooks().iterator();\n while(iterator.hasNext()){\n\n books.add((Book) iterator.next().clone());\n }\n obj.setBooks(books);\n } catch (CloneNotSupportedException exc) {\n exc.printStackTrace();\n }\n return obj;\n }","Nda<V> deepCopy();","@Override\n public LocalStore<V> copy() {\n return this;\n }","public abstract TreeNode copy();","@Override\r\n public NumericObjectArrayList makeDeepCopy() {\r\n NumericObjectArrayList list = new NumericObjectArrayList();\r\n for (int i = 0; i < this.getCount(); i++) {\r\n try {\r\n list.insert(i, this.getValueAt(i));\r\n } catch (IndexRangeException ex) {\r\n //Shouldn't happen\r\n }\r\n }\r\n return list;\r\n }","protected Factorization copy(){\n Factorization newFactor = new Factorization(this.mdc);\n //shallow copy\n newFactor.setRecipes(recipes);\n newFactor.setIngredients(ingredients);\n newFactor.setUserMap(userMap);\n newFactor.setUserMapReversed(userMap_r);\n newFactor.setRecipeMap(recipeMap);\n newFactor.setRecipeMapReversed(recipeMap_r);\n newFactor.setIngredientMap(ingredientMap);\n newFactor.setIngredientMapReversed(ingredientMap_r);\n \n //deep copy\n List<User> userCopy = new ArrayList<User>();\n for(User curr: this.users){\n userCopy.add(new User(curr.getId()));\n }\n newFactor.setUsers(userCopy);\n newFactor.setDataset(dataset.copy());\n newFactor.updateInitialSpace();\n return newFactor;\n }","@Override\n\tpublic void copyReferences() {\n\t\tlateCopies = new LinkedHashMap<>();\n\n\t\tsuper.copyReferences();\n\n\t\tputAll(lateCopies);\n\t\tlateCopies = null;\n\t}","public T copy() {\n T ret = createLike();\n ret.getMatrix().setTo(this.getMatrix());\n return ret;\n }","@Test\n\tpublic void testCopy2() {\n\n\t\tint[] arr = { 1, 2, 3, 7, 8 }; // this list\n\t\tSLLSet listObj2 = new SLLSet(arr);\n\t\tSLLSet copied = listObj2.copy();\n\t\tcopied.add(-1);\n\t\tString expectedObj2 = \"1, 2, 3, 7, 8\";\n\t\tString expectedCopied = \"-1, 1, 2, 3, 7, 8\";\n\t\tint expectedObj2Size = 5;\n\t\tint expectedCopiedSize = 6;\n\n\t\tassertEquals(expectedObj2Size, listObj2.getSize());\n\t\tassertEquals(expectedObj2, listObj2.toString());\n\n\t\tassertEquals(expectedCopiedSize, copied.getSize());\n\t\tassertEquals(expectedCopied, copied.toString());\n\n\t}","public Data copy(Object value) {\n if (mValue instanceof Data) {\n ((Data) mValue).copy(value);\n } else {\n mValue = value;\n }\n return this;\n }","public void\n\tcopy( Vector3 other )\n\t{\n\t\tdata[0] = other.data[0];\n\t\tdata[1] = other.data[1];\n\t\tdata[2] = other.data[2];\n\t}","private static void copy(List<? super Number> dest, List<? extends Number> src) {\n for (int i = 0; i < src.size(); i++) {\n dest.set(i, src.get(i));\n //dest.add(src.get(i));\n }\n }","private ImmutablePerson(ImmutablePerson other) {\n firstName = other.firstName;\n middleName = other.middleName;\n lastName = other.lastName;\n nickNames = new ArrayList<>(other.nickNames);\n }","public abstract void copy(Result result, Object object);","protected AbstractChartModel copy(AbstractChartModel aCopy) {\n aCopy.title = title;\n aCopy.xAxisTitle = xAxisTitle;\n aCopy.yAxisTitle = yAxisTitle;\n aCopy.xRangeMax = xRangeMax;\n aCopy.xRangeMin = xRangeMin;\n aCopy.xRangeIncr = xRangeIncr;\n aCopy.yRangeMax = yRangeMax;\n aCopy.yRangeMin = yRangeMin;\n aCopy.yRangeIncr = yRangeIncr;\n aCopy.simModel = simModel;\n ArrayList list = new ArrayList();\n for (int i = 0, n = dataSources.size(); i < n; i++) {\n GuiChartDataSource ds = (GuiChartDataSource) dataSources.get(i);\n list.add(ds.copy());\n }\n aCopy.dataSources = list;\n\n return aCopy;\n }","@Override\n public ExpressionNode deepCopy(BsjNodeFactory factory);","private Object[] deepCopy()\n {\n Object[] newList = new Object[size];\n\n int newListPosition = 0;\n for (int i =0; i < size; i++)\n {\n if (list[i] != null)\n {\n newList[newListPosition++] = list[i];\n }\n }\n\n return newList;\n }","public Game copy();","public void pasteFrom(Flow other)\n\t\t{\n\t\tunits.addAll(other.units);\n\t\tconns.addAll(other.conns);\n\t\t}","@Override\r\n\tpublic LogicalValue copy() {\r\n\t\treturn new Pointer(target);\r\n\t}","@SuppressWarnings(\"unchecked\")\n @Override\n public <T extends JsonNode> T deepCopy() { return (T) this; }","public SoPickedPoint \ncopy() \n//\n////////////////////////////////////////////////////////////////////////\n{\n SoPickedPoint newCopy = new SoPickedPoint(this);\n return newCopy;\n}","public CFExp deepCopy(){\r\n return this;\r\n }","DataContext copy();","@Override\n public weighted_graph copy() {\n weighted_graph copy = new WGraph_DS(this.ga);//create the copy graph via copy constructor\n return copy;\n }","@Override\n\tpublic SecuredRDFList copy();","@Override\n\tpublic Expression copy() {\n\t\treturn null;\n\t}","public O copy() {\n return value();\n }","public Object clone();","public Object clone();","public Object clone();","public Object clone();","private Shop shallowCopy() {\n BookShop obj = null;\n try {\n obj = (BookShop) super.clone();\n } catch (CloneNotSupportedException exc) {\n exc.printStackTrace();\n }\n return obj;\n }","public abstract Object clone();","public Function clone();","public abstract Type treeCopy();","public Tree<K, V> copy(Tree<K, V> t, Tree<K, V> copy) {\n\t\tcopy = copy.add(key, value);\n\t\tcopy = left.copy(left, copy);\n\t\tcopy = right.copy(right, copy);\n\t\treturn copy;\n\t}","public Results copy()\n {\n Results copy = new Results();\n for(Object object : results) {\n copy.add( object );\n }\n return copy;\n }","private void internalCopy(Board b) {\n for (int i = 0; i < SIDE * SIDE; i += 1) {\n set(i, b.get(i));\n }\n\n _directions = b._directions;\n _whoseMove = b._whoseMove;\n _history = b._history;\n }","public Coordinates copy() {\n\t\treturn new Coordinates(this);\n\t}","@Override\r\n\tpublic void copy(Property p) {\n\t\t\r\n\t}","public directed_weighted_graph deepCopy() {\n DWGraph_DS copyGraph = new DWGraph_DS(this); //create a new graph with the original graph data (only primitives)\n HashMap<Integer, node_data> copyNodesMap = new HashMap<>(); //create a new nodes HashMap for the new graph\n for (node_data node : nodes.values()) { //loop through all nodes in the original graph\n copyNodesMap.put(node.getKey(), new NodeData((NodeData) node)); //makes a duplicate of the original HashMap\n }\n copyGraph.nodes = copyNodesMap; //set the new graph nodes to the new HashMap we made.\n return copyGraph;\n }","public Object clone() {\n return this.copy();\n }","@Override\n public Operator visitCopy(Copy operator)\n {\n throw new AssertionError();\n }","@Test\n\tpublic void copy() {\n\t\tBody b1 = new Body();\n\t\tBodyFixture b1f1 = b1.addFixture(Geometry.createCircle(0.5));\n\t\t\n\t\tCollisionItemAdapter<Body, BodyFixture> c1 = this.item.copy();\n\t\tTestCase.assertNull(c1.getBody());\n\t\tTestCase.assertNull(c1.getFixture());\n\t\t\n\t\tthis.item.set(b1, b1f1);\n\t\tCollisionItemAdapter<Body, BodyFixture> c2 = this.item.copy();\n\t\tTestCase.assertEquals(b1, c2.getBody());\n\t\tTestCase.assertEquals(b1f1, c2.getFixture());\n\t\t\n\t\t// make sure it's a deep copy\n\t\tc1.set(null, null);\n\t\tTestCase.assertNull(c1.getBody());\n\t\tTestCase.assertNull(c1.getFixture());\n\t\tTestCase.assertEquals(b1, c2.getBody());\n\t\tTestCase.assertEquals(b1f1, c2.getFixture());\n\t}","public abstract Object clone() ;","public Object clone() {\n \ttry {\n \tMyClass1 result = (MyClass1) super.clone();\n \tresult.Some2Ob = (Some2)Some2Ob.clone(); ///IMPORTANT: Some2 clone method called for deep copy without calling this Some2.x will be = 12\n \t\n \treturn result;\n \t} catch (CloneNotSupportedException e) {\n \treturn null; \n \t}\n\t}","public PaginationVO(PaginationVO other) {\n __isset_bitfield = other.__isset_bitfield;\n this.pageSize = other.pageSize;\n this.pageNo = other.pageNo;\n this.upPage = other.upPage;\n this.nextPage = other.nextPage;\n this.totalCount = other.totalCount;\n this.totalPage = other.totalPage;\n if (other.isSetPageUrl()) {\n this.pageUrl = other.pageUrl;\n }\n if (other.isSetParams()) {\n this.params = other.params;\n }\n if (other.isSetDatas()) {\n List<BlogPostVO> __this__datas = new ArrayList<BlogPostVO>();\n for (BlogPostVO other_element : other.datas) {\n __this__datas.add(new BlogPostVO(other_element));\n }\n this.datas = __this__datas;\n }\n }","public WorldState (WorldState other)\n\t{\n\t\tproperties = new HashMap<String, WorldStateProperty>();\t\t\n\t\tcopy(other);\n\t}","@Override\r\n\tprotected Object clone() throws CloneNotSupportedException { // semi-copy\r\n\t\tthrow new CloneNotSupportedException();\r\n\t}","protected void copy(){\n\t\tthis.model.copy(this.color.getBackground());\n\t}","@Override\n public MetaprogramTargetNode deepCopy(BsjNodeFactory factory);","@Override\n public INDArray copy(INDArray x, INDArray y) {\n //NativeBlas.dcopy(x.length(), x.data(), 0, 1, y.data(), 0, 1);\n JavaBlas.rcopy(x.length(), x.data(), x.offset(), 1, y.data(), y.offset(), 1);\n return y;\n }","@Override\n\tpublic function copy() {\n\t\tMonom M=new Monom(this.get_coefficient(),this.get_power());\n\t\t\n\t\treturn M;\n\t}","public Object detachCopy(Object po)\n{\n\treturn po;\n}","public ConfabulatorObject getCopy() {\n\t\tConfabulatorObject copy = new ConfabulatorObject(getMessenger());\n\t\tlockMe(this);\n\t\tint maxD = maxLinkDistance;\n\t\tint maxC = maxLinkCount;\n\t\tList<Link> linksCopy = new ArrayList<Link>();\n\t\tfor (Link lnk: links) {\n\t\t\tlinksCopy.add(lnk.getCopy());\n\t\t}\n\t\tunlockMe(this);\n\t\tcopy.initialize(maxD,maxC,linksCopy);\n\t\treturn copy;\n\t}","@Override\r\n public weighted_graph copy() {\n weighted_graph copy = new WGraph_DS();\r\n for (node_info curr : this.Graph.getV()) { //The loop passes through all the ver' of the graph\r\n Nodes t = new Nodes(curr); //create new node\r\n copy.addNode(t.key); //copy the the old node to the new node\r\n }\r\n for (node_info curr0 : this.Graph.getV()) {\r\n for (node_info curr1 : this.Graph.getV(curr0.getKey())) { //this loops pass over the all nodes and copy the connection\r\n double i = this.Graph.getEdge(curr0.getKey(), curr1.getKey());\r\n if (i != -1) {\r\n copy.connect(curr0.getKey(), curr1.getKey(), i);\r\n }\r\n }\r\n }\r\n return copy;\r\n\r\n }","@Override\n public Object clone() {\n return super.clone();\n }","public Query copy() {\r\n\tQuery queryCopy = new Query();\r\n\tqueryCopy.terms = (LinkedList<String>) terms.clone();\r\n\tqueryCopy.weights = (LinkedList<Double>) weights.clone();\r\n\treturn queryCopy;\r\n }","public static void main(String[] args) throws CloneNotSupportedException\n {\n ArrayList<String> companies = new ArrayList<String>();\n companies.add(\"Baidu\");\n companies.add(\"Tencent\");\n companies.add(\"Ali\");\n WorkExprience workExprience = new WorkExprience(companies);\n String nameString = new String(\"Tom\");\n String genderString = new String(\"male\");\n Resume resume = new Resume(nameString, 23, genderString, workExprience);\n System.out.println(\"Source Resume\");\n resume.printResum();\n \n ArrayList<String> companies1 = new ArrayList<String>();\n companies1.add(\"Google\");\n companies1.add(\"Microsoft\");\n companies1.add(\"Oracle\");\n Resume copyResume = (Resume)resume.clone();\n String nameString1 = new String(\"Jerry\");\n String genderString1 = new String(\"Fmale\");\n copyResume.setName(nameString1);\n copyResume.setAge(20);\n copyResume.setGender(genderString1);\n copyResume.getWorkExprience().setCompanyArrayList(companies1);\n System.out.println();\n System.out.println(\"Source Resume\");\n resume.printResum();\n System.out.println();\n System.out.println(\"Copy Resume\");\n copyResume.printResum();\n }","public MappingInfo copy()\r\n\t{\r\n\t\tArrayList<MappingCell> mappingCells = new ArrayList<MappingCell>();\r\n\t\tfor(MappingCell mappingCell : mappingCellHash.get())\r\n\t\t\tmappingCells.add(mappingCell);\r\n\t\treturn new MappingInfo(mapping.copy(),mappingCells);\r\n\t}","protected void deepCloneReferences(uka.transport.DeepClone _helper)\n throws CloneNotSupportedException\n {\n //Cloning the byte array\n\t this.value = _helper.doDeepClone(this.value);\n //byte[] value_clone = new byte[this.value.length]; \n //System.arraycopy(this.value, 0, value_clone, 0, this.value.length);\n //this.value = value_clone;\n }","static void setNotCopying(){isCopying=false;}","void copy(DependencyRelations deps){\n if (deps == null)\n throw new IllegalArgumentException(\"the source is null.\");\n\n size_ = deps.size_;\n for(int i = 0; i < size_ ; i++){\n if (nodes_[i] == null)\n nodes_[i] = new Node();\n nodes_[i].copy(deps.nodes_[i]);\n }\n }","@SuppressWarnings(\"All\")\n public <T> void copy(MyList<? super T> to, MyList<? extends T> from) {\n\n System.out.println(\"from size \" + from.size);\n for (int i = 0; i < from.getSize(); i++) {\n to.add(from.getByIndex(i));\n }\n }","public void copy(Posts that) {\r\n\t\tsetId(that.getId());\r\n\t\tsetTitle(that.getTitle());\r\n\t\tsetContent(that.getContent());\r\n\t\tsetShareDate(that.getShareDate());\r\n\t\tsetIsPrivate(that.getIsPrivate());\r\n\t\tsetUsers(that.getUsers());\r\n\t\tsetCommentses(new java.util.LinkedHashSet<com.ira.domain.Comments>(that.getCommentses()));\r\n\t}","@Override\n public TopicObject copy() {\n return new TopicObject(this);\n }"],"string":"[\n \"Prototype makeCopy();\",\n \"public void copy (WorldState other)\\n\\t{\\n\\t\\tresetProperties();\\n\\t\\t//Iterate through other state and clone it's properties into this states properties\\n\\t\\tCollection<WorldStateProperty> otherProperties = other.properties.values();\\n\\t\\tfor (WorldStateProperty property : otherProperties)\\n\\t\\t{\\n\\t\\t\\tproperties.put(property.key, property.clone());\\n\\t\\t}\\n\\t}\",\n \"public void copyDataFrom(ParamUnit other)\\r\\n\\t{\\r\\n\\t\\tif (this.data.row != other.data.row || this.data.col != other.data.col)\\r\\n\\t\\t\\tthrow new DeepException(\\\"Cannot copy data from a different dimension.\\\");\\r\\n\\t\\tthis.data.copyFrom(other.data);\\r\\n\\t}\",\n \"private Path(Path other){\\n\\t\\t\\n\\t\\tthis.source = other.source;\\n\\t\\tthis.destination = other.destination;\\n\\t\\tthis.cities = other.cities;\\n\\t\\t\\n\\t\\tthis.cost = other.cost;\\n\\t\\tthis.destination = other.destination;\\n\\t\\t\\n\\t\\tthis.connections = new LinkedList<Connection>();\\n\\t\\t\\n\\t\\tfor (Connection c : other.connections){\\n\\t\\t\\tthis.connections.add((Connection) c.clone());\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"@Override\\n\\tprotected void copy(Object source, Object dest) {\\n\\t\\t\\n\\t}\",\n \"public void copy() {\\n\\n\\t}\",\n \"public abstract B copy();\",\n \"public CMObject copyOf();\",\n \"public T cloneDeep();\",\n \"public void copy(BlastGraph<HitVertex, ValueEdge> graphToCopy) {\\n\\t\\t// empty this graph\\n\\t\\tthis.empty();\\n\\n\\t\\t// union this empty graph with graphToCopy\\n\\t\\tthis.union(graphToCopy);\\n\\t}\",\n \"public void mirror(Dataset other) {\\n clear();\\n this.ntree.addAll(other.ntree);\\n }\",\n \"Model copy();\",\n \"public abstract INodo copy();\",\n \"static void setCopying(){isCopying=true;}\",\n \"Nda<V> shallowCopy();\",\n \"public CopyBuilder copy() {\\n return new CopyBuilder(this);\\n }\",\n \"T copy();\",\n \"@Override\\n\\t\\tpublic ImmutableSequentialGraph copy() {\\n\\t\\t\\treturn new ComposedGraph( g0, g1.copy() );\\n\\t\\t}\",\n \"public void copy(DataRequest original){\\n\\t\\t//potential problems with object sharing\\n\\t\\tfilters = \\toriginal.get_filters();\\n\\t\\tsort_by = \\toriginal.get_sort_by();\\n\\t\\tcount = \\toriginal.get_count();\\n\\t\\tstart = \\toriginal.get_start();\\n\\t\\tsource = \\toriginal.get_source();\\n\\t\\tfieldset =\\toriginal.get_fieldset();\\n\\t\\trelation = \\toriginal.get_relation();\\n\\t}\",\n \"Component deepClone();\",\n \"public Data assign(Data other) {\\r\\n this.setDimension(other.dimension);\\r\\n this.distanz = other.distanz;\\r\\n //for (int i = 0; i < this.dimension; ++i)\\r\\n for (int i = 0; i < this.dimension * 2; ++i) {\\r\\n this.data[i] = other.data[i];\\r\\n }\\r\\n this.id = other.id;\\r\\n return this;\\r\\n }\",\n \"@Override\\n public int deepCopy(AbstractRecord other)\\n {\\n return 0;\\n }\",\n \"public AST copy()\\n {\\n return new Implicate(left, right);\\n }\",\n \"@Override\\n public void copyValues(final fr.jmmc.oiexplorer.core.model.OIBase other) {\\n final View view = (View) other;\\n\\n // copy type, subsetDefinition (reference):\\n this.type = view.getType();\\n this.subsetDefinition = view.getSubsetDefinition();\\n }\",\n \"public Complex makeDeepCopy() {\\r\\n Complex complex2 = new Complex(this.getReal(), this.getImaginary());\\r\\n return complex2;\\r\\n }\",\n \"public abstract Node copy();\",\n \"protected void copy(Writable other) {\\n\\t\\tif (other != null) {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tDataOutputBuffer out = new DataOutputBuffer();\\n\\t\\t\\t\\tother.write(out);\\n\\t\\t\\t\\tDataInputBuffer in = new DataInputBuffer();\\n\\t\\t\\t\\tin.reset(out.getData(), out.getLength());\\n\\t\\t\\t\\treadFields(in);\\n\\t\\t\\t} catch (IOException e) {\\n\\t\\t\\t\\tthrow new IllegalArgumentException(\\\"map cannot be copied: \\\" +\\n\\t\\t\\t\\t\\t\\te.getMessage());\\n\\t\\t\\t}\\n\\t\\t} else {\\n\\t\\t\\tthrow new IllegalArgumentException(\\\"source map cannot be null\\\");\\n\\t\\t}\\n\\t}\",\n \"protected void copyInto(Schedule other) {\\r\\n\\t\\tfor(int i = MIN_WEEKDAY; i <= MAX_WEEKDAY; i++)\\r\\n\\t\\t\\tfor(int j = MIN_SEGMENT; j <= MAX_SEGMENT; j++)\\r\\n\\t\\t\\t\\tother.schedule[i][j] = schedule[i][j];\\t\\t\\r\\n\\t}\",\n \"public DTO(DTO other) {\\n if (other.isSetDatas()) {\\n Map<String,String> __this__datas = new HashMap<String,String>(other.datas);\\n this.datas = __this__datas;\\n }\\n }\",\n \"public Tree<K, V> copy() {\\n\\t\\tTree<K, V> copy = EmptyTree.getInstance(), t = this;\\n\\t\\treturn copy(t, copy);\\n\\t}\",\n \"@Override\\n\\tpublic graph copy() {\\n\\t\\tgraph copy = new DGraph();\\n\\t\\tCollection<node_data> nColl = this.GA.getV();\\n\\t\\tfor (node_data node : nColl) {\\n\\t\\t\\tnode_data temp = new Node((Node) node );\\n\\t\\t\\tcopy.addNode(node);\\n\\t\\t}\\n\\t\\tCollection<node_data> nColl2 = this.GA.getV();\\n\\t\\tfor (node_data node1 : nColl2) {\\n\\t\\t\\tCollection<edge_data> eColl = this.GA.getE(node1.getKey());\\n\\t\\t\\tif (eColl!=null) {\\n\\t\\t\\t\\tfor (edge_data edge : eColl) {\\n\\t\\t\\t\\t\\tcopy.connect(edge.getSrc(), edge.getDest(), edge.getWeight());\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn copy;\\n\\t}\",\n \"Object clone();\",\n \"Object clone();\",\n \"@Override\\n public FieldEntity copy()\\n {\\n return state.copy();\\n }\",\n \"private Shop deepCopy() {\\n BookShop obj = null;\\n try {\\n obj = (BookShop) super.clone();\\n List<Book> books = new ArrayList<>();\\n Iterator<Book> iterator = this.getBooks().iterator();\\n while(iterator.hasNext()){\\n\\n books.add((Book) iterator.next().clone());\\n }\\n obj.setBooks(books);\\n } catch (CloneNotSupportedException exc) {\\n exc.printStackTrace();\\n }\\n return obj;\\n }\",\n \"Nda<V> deepCopy();\",\n \"@Override\\n public LocalStore<V> copy() {\\n return this;\\n }\",\n \"public abstract TreeNode copy();\",\n \"@Override\\r\\n public NumericObjectArrayList makeDeepCopy() {\\r\\n NumericObjectArrayList list = new NumericObjectArrayList();\\r\\n for (int i = 0; i < this.getCount(); i++) {\\r\\n try {\\r\\n list.insert(i, this.getValueAt(i));\\r\\n } catch (IndexRangeException ex) {\\r\\n //Shouldn't happen\\r\\n }\\r\\n }\\r\\n return list;\\r\\n }\",\n \"protected Factorization copy(){\\n Factorization newFactor = new Factorization(this.mdc);\\n //shallow copy\\n newFactor.setRecipes(recipes);\\n newFactor.setIngredients(ingredients);\\n newFactor.setUserMap(userMap);\\n newFactor.setUserMapReversed(userMap_r);\\n newFactor.setRecipeMap(recipeMap);\\n newFactor.setRecipeMapReversed(recipeMap_r);\\n newFactor.setIngredientMap(ingredientMap);\\n newFactor.setIngredientMapReversed(ingredientMap_r);\\n \\n //deep copy\\n List<User> userCopy = new ArrayList<User>();\\n for(User curr: this.users){\\n userCopy.add(new User(curr.getId()));\\n }\\n newFactor.setUsers(userCopy);\\n newFactor.setDataset(dataset.copy());\\n newFactor.updateInitialSpace();\\n return newFactor;\\n }\",\n \"@Override\\n\\tpublic void copyReferences() {\\n\\t\\tlateCopies = new LinkedHashMap<>();\\n\\n\\t\\tsuper.copyReferences();\\n\\n\\t\\tputAll(lateCopies);\\n\\t\\tlateCopies = null;\\n\\t}\",\n \"public T copy() {\\n T ret = createLike();\\n ret.getMatrix().setTo(this.getMatrix());\\n return ret;\\n }\",\n \"@Test\\n\\tpublic void testCopy2() {\\n\\n\\t\\tint[] arr = { 1, 2, 3, 7, 8 }; // this list\\n\\t\\tSLLSet listObj2 = new SLLSet(arr);\\n\\t\\tSLLSet copied = listObj2.copy();\\n\\t\\tcopied.add(-1);\\n\\t\\tString expectedObj2 = \\\"1, 2, 3, 7, 8\\\";\\n\\t\\tString expectedCopied = \\\"-1, 1, 2, 3, 7, 8\\\";\\n\\t\\tint expectedObj2Size = 5;\\n\\t\\tint expectedCopiedSize = 6;\\n\\n\\t\\tassertEquals(expectedObj2Size, listObj2.getSize());\\n\\t\\tassertEquals(expectedObj2, listObj2.toString());\\n\\n\\t\\tassertEquals(expectedCopiedSize, copied.getSize());\\n\\t\\tassertEquals(expectedCopied, copied.toString());\\n\\n\\t}\",\n \"public Data copy(Object value) {\\n if (mValue instanceof Data) {\\n ((Data) mValue).copy(value);\\n } else {\\n mValue = value;\\n }\\n return this;\\n }\",\n \"public void\\n\\tcopy( Vector3 other )\\n\\t{\\n\\t\\tdata[0] = other.data[0];\\n\\t\\tdata[1] = other.data[1];\\n\\t\\tdata[2] = other.data[2];\\n\\t}\",\n \"private static void copy(List<? super Number> dest, List<? extends Number> src) {\\n for (int i = 0; i < src.size(); i++) {\\n dest.set(i, src.get(i));\\n //dest.add(src.get(i));\\n }\\n }\",\n \"private ImmutablePerson(ImmutablePerson other) {\\n firstName = other.firstName;\\n middleName = other.middleName;\\n lastName = other.lastName;\\n nickNames = new ArrayList<>(other.nickNames);\\n }\",\n \"public abstract void copy(Result result, Object object);\",\n \"protected AbstractChartModel copy(AbstractChartModel aCopy) {\\n aCopy.title = title;\\n aCopy.xAxisTitle = xAxisTitle;\\n aCopy.yAxisTitle = yAxisTitle;\\n aCopy.xRangeMax = xRangeMax;\\n aCopy.xRangeMin = xRangeMin;\\n aCopy.xRangeIncr = xRangeIncr;\\n aCopy.yRangeMax = yRangeMax;\\n aCopy.yRangeMin = yRangeMin;\\n aCopy.yRangeIncr = yRangeIncr;\\n aCopy.simModel = simModel;\\n ArrayList list = new ArrayList();\\n for (int i = 0, n = dataSources.size(); i < n; i++) {\\n GuiChartDataSource ds = (GuiChartDataSource) dataSources.get(i);\\n list.add(ds.copy());\\n }\\n aCopy.dataSources = list;\\n\\n return aCopy;\\n }\",\n \"@Override\\n public ExpressionNode deepCopy(BsjNodeFactory factory);\",\n \"private Object[] deepCopy()\\n {\\n Object[] newList = new Object[size];\\n\\n int newListPosition = 0;\\n for (int i =0; i < size; i++)\\n {\\n if (list[i] != null)\\n {\\n newList[newListPosition++] = list[i];\\n }\\n }\\n\\n return newList;\\n }\",\n \"public Game copy();\",\n \"public void pasteFrom(Flow other)\\n\\t\\t{\\n\\t\\tunits.addAll(other.units);\\n\\t\\tconns.addAll(other.conns);\\n\\t\\t}\",\n \"@Override\\r\\n\\tpublic LogicalValue copy() {\\r\\n\\t\\treturn new Pointer(target);\\r\\n\\t}\",\n \"@SuppressWarnings(\\\"unchecked\\\")\\n @Override\\n public <T extends JsonNode> T deepCopy() { return (T) this; }\",\n \"public SoPickedPoint \\ncopy() \\n//\\n////////////////////////////////////////////////////////////////////////\\n{\\n SoPickedPoint newCopy = new SoPickedPoint(this);\\n return newCopy;\\n}\",\n \"public CFExp deepCopy(){\\r\\n return this;\\r\\n }\",\n \"DataContext copy();\",\n \"@Override\\n public weighted_graph copy() {\\n weighted_graph copy = new WGraph_DS(this.ga);//create the copy graph via copy constructor\\n return copy;\\n }\",\n \"@Override\\n\\tpublic SecuredRDFList copy();\",\n \"@Override\\n\\tpublic Expression copy() {\\n\\t\\treturn null;\\n\\t}\",\n \"public O copy() {\\n return value();\\n }\",\n \"public Object clone();\",\n \"public Object clone();\",\n \"public Object clone();\",\n \"public Object clone();\",\n \"private Shop shallowCopy() {\\n BookShop obj = null;\\n try {\\n obj = (BookShop) super.clone();\\n } catch (CloneNotSupportedException exc) {\\n exc.printStackTrace();\\n }\\n return obj;\\n }\",\n \"public abstract Object clone();\",\n \"public Function clone();\",\n \"public abstract Type treeCopy();\",\n \"public Tree<K, V> copy(Tree<K, V> t, Tree<K, V> copy) {\\n\\t\\tcopy = copy.add(key, value);\\n\\t\\tcopy = left.copy(left, copy);\\n\\t\\tcopy = right.copy(right, copy);\\n\\t\\treturn copy;\\n\\t}\",\n \"public Results copy()\\n {\\n Results copy = new Results();\\n for(Object object : results) {\\n copy.add( object );\\n }\\n return copy;\\n }\",\n \"private void internalCopy(Board b) {\\n for (int i = 0; i < SIDE * SIDE; i += 1) {\\n set(i, b.get(i));\\n }\\n\\n _directions = b._directions;\\n _whoseMove = b._whoseMove;\\n _history = b._history;\\n }\",\n \"public Coordinates copy() {\\n\\t\\treturn new Coordinates(this);\\n\\t}\",\n \"@Override\\r\\n\\tpublic void copy(Property p) {\\n\\t\\t\\r\\n\\t}\",\n \"public directed_weighted_graph deepCopy() {\\n DWGraph_DS copyGraph = new DWGraph_DS(this); //create a new graph with the original graph data (only primitives)\\n HashMap<Integer, node_data> copyNodesMap = new HashMap<>(); //create a new nodes HashMap for the new graph\\n for (node_data node : nodes.values()) { //loop through all nodes in the original graph\\n copyNodesMap.put(node.getKey(), new NodeData((NodeData) node)); //makes a duplicate of the original HashMap\\n }\\n copyGraph.nodes = copyNodesMap; //set the new graph nodes to the new HashMap we made.\\n return copyGraph;\\n }\",\n \"public Object clone() {\\n return this.copy();\\n }\",\n \"@Override\\n public Operator visitCopy(Copy operator)\\n {\\n throw new AssertionError();\\n }\",\n \"@Test\\n\\tpublic void copy() {\\n\\t\\tBody b1 = new Body();\\n\\t\\tBodyFixture b1f1 = b1.addFixture(Geometry.createCircle(0.5));\\n\\t\\t\\n\\t\\tCollisionItemAdapter<Body, BodyFixture> c1 = this.item.copy();\\n\\t\\tTestCase.assertNull(c1.getBody());\\n\\t\\tTestCase.assertNull(c1.getFixture());\\n\\t\\t\\n\\t\\tthis.item.set(b1, b1f1);\\n\\t\\tCollisionItemAdapter<Body, BodyFixture> c2 = this.item.copy();\\n\\t\\tTestCase.assertEquals(b1, c2.getBody());\\n\\t\\tTestCase.assertEquals(b1f1, c2.getFixture());\\n\\t\\t\\n\\t\\t// make sure it's a deep copy\\n\\t\\tc1.set(null, null);\\n\\t\\tTestCase.assertNull(c1.getBody());\\n\\t\\tTestCase.assertNull(c1.getFixture());\\n\\t\\tTestCase.assertEquals(b1, c2.getBody());\\n\\t\\tTestCase.assertEquals(b1f1, c2.getFixture());\\n\\t}\",\n \"public abstract Object clone() ;\",\n \"public Object clone() {\\n \\ttry {\\n \\tMyClass1 result = (MyClass1) super.clone();\\n \\tresult.Some2Ob = (Some2)Some2Ob.clone(); ///IMPORTANT: Some2 clone method called for deep copy without calling this Some2.x will be = 12\\n \\t\\n \\treturn result;\\n \\t} catch (CloneNotSupportedException e) {\\n \\treturn null; \\n \\t}\\n\\t}\",\n \"public PaginationVO(PaginationVO other) {\\n __isset_bitfield = other.__isset_bitfield;\\n this.pageSize = other.pageSize;\\n this.pageNo = other.pageNo;\\n this.upPage = other.upPage;\\n this.nextPage = other.nextPage;\\n this.totalCount = other.totalCount;\\n this.totalPage = other.totalPage;\\n if (other.isSetPageUrl()) {\\n this.pageUrl = other.pageUrl;\\n }\\n if (other.isSetParams()) {\\n this.params = other.params;\\n }\\n if (other.isSetDatas()) {\\n List<BlogPostVO> __this__datas = new ArrayList<BlogPostVO>();\\n for (BlogPostVO other_element : other.datas) {\\n __this__datas.add(new BlogPostVO(other_element));\\n }\\n this.datas = __this__datas;\\n }\\n }\",\n \"public WorldState (WorldState other)\\n\\t{\\n\\t\\tproperties = new HashMap<String, WorldStateProperty>();\\t\\t\\n\\t\\tcopy(other);\\n\\t}\",\n \"@Override\\r\\n\\tprotected Object clone() throws CloneNotSupportedException { // semi-copy\\r\\n\\t\\tthrow new CloneNotSupportedException();\\r\\n\\t}\",\n \"protected void copy(){\\n\\t\\tthis.model.copy(this.color.getBackground());\\n\\t}\",\n \"@Override\\n public MetaprogramTargetNode deepCopy(BsjNodeFactory factory);\",\n \"@Override\\n public INDArray copy(INDArray x, INDArray y) {\\n //NativeBlas.dcopy(x.length(), x.data(), 0, 1, y.data(), 0, 1);\\n JavaBlas.rcopy(x.length(), x.data(), x.offset(), 1, y.data(), y.offset(), 1);\\n return y;\\n }\",\n \"@Override\\n\\tpublic function copy() {\\n\\t\\tMonom M=new Monom(this.get_coefficient(),this.get_power());\\n\\t\\t\\n\\t\\treturn M;\\n\\t}\",\n \"public Object detachCopy(Object po)\\n{\\n\\treturn po;\\n}\",\n \"public ConfabulatorObject getCopy() {\\n\\t\\tConfabulatorObject copy = new ConfabulatorObject(getMessenger());\\n\\t\\tlockMe(this);\\n\\t\\tint maxD = maxLinkDistance;\\n\\t\\tint maxC = maxLinkCount;\\n\\t\\tList<Link> linksCopy = new ArrayList<Link>();\\n\\t\\tfor (Link lnk: links) {\\n\\t\\t\\tlinksCopy.add(lnk.getCopy());\\n\\t\\t}\\n\\t\\tunlockMe(this);\\n\\t\\tcopy.initialize(maxD,maxC,linksCopy);\\n\\t\\treturn copy;\\n\\t}\",\n \"@Override\\r\\n public weighted_graph copy() {\\n weighted_graph copy = new WGraph_DS();\\r\\n for (node_info curr : this.Graph.getV()) { //The loop passes through all the ver' of the graph\\r\\n Nodes t = new Nodes(curr); //create new node\\r\\n copy.addNode(t.key); //copy the the old node to the new node\\r\\n }\\r\\n for (node_info curr0 : this.Graph.getV()) {\\r\\n for (node_info curr1 : this.Graph.getV(curr0.getKey())) { //this loops pass over the all nodes and copy the connection\\r\\n double i = this.Graph.getEdge(curr0.getKey(), curr1.getKey());\\r\\n if (i != -1) {\\r\\n copy.connect(curr0.getKey(), curr1.getKey(), i);\\r\\n }\\r\\n }\\r\\n }\\r\\n return copy;\\r\\n\\r\\n }\",\n \"@Override\\n public Object clone() {\\n return super.clone();\\n }\",\n \"public Query copy() {\\r\\n\\tQuery queryCopy = new Query();\\r\\n\\tqueryCopy.terms = (LinkedList<String>) terms.clone();\\r\\n\\tqueryCopy.weights = (LinkedList<Double>) weights.clone();\\r\\n\\treturn queryCopy;\\r\\n }\",\n \"public static void main(String[] args) throws CloneNotSupportedException\\n {\\n ArrayList<String> companies = new ArrayList<String>();\\n companies.add(\\\"Baidu\\\");\\n companies.add(\\\"Tencent\\\");\\n companies.add(\\\"Ali\\\");\\n WorkExprience workExprience = new WorkExprience(companies);\\n String nameString = new String(\\\"Tom\\\");\\n String genderString = new String(\\\"male\\\");\\n Resume resume = new Resume(nameString, 23, genderString, workExprience);\\n System.out.println(\\\"Source Resume\\\");\\n resume.printResum();\\n \\n ArrayList<String> companies1 = new ArrayList<String>();\\n companies1.add(\\\"Google\\\");\\n companies1.add(\\\"Microsoft\\\");\\n companies1.add(\\\"Oracle\\\");\\n Resume copyResume = (Resume)resume.clone();\\n String nameString1 = new String(\\\"Jerry\\\");\\n String genderString1 = new String(\\\"Fmale\\\");\\n copyResume.setName(nameString1);\\n copyResume.setAge(20);\\n copyResume.setGender(genderString1);\\n copyResume.getWorkExprience().setCompanyArrayList(companies1);\\n System.out.println();\\n System.out.println(\\\"Source Resume\\\");\\n resume.printResum();\\n System.out.println();\\n System.out.println(\\\"Copy Resume\\\");\\n copyResume.printResum();\\n }\",\n \"public MappingInfo copy()\\r\\n\\t{\\r\\n\\t\\tArrayList<MappingCell> mappingCells = new ArrayList<MappingCell>();\\r\\n\\t\\tfor(MappingCell mappingCell : mappingCellHash.get())\\r\\n\\t\\t\\tmappingCells.add(mappingCell);\\r\\n\\t\\treturn new MappingInfo(mapping.copy(),mappingCells);\\r\\n\\t}\",\n \"protected void deepCloneReferences(uka.transport.DeepClone _helper)\\n throws CloneNotSupportedException\\n {\\n //Cloning the byte array\\n\\t this.value = _helper.doDeepClone(this.value);\\n //byte[] value_clone = new byte[this.value.length]; \\n //System.arraycopy(this.value, 0, value_clone, 0, this.value.length);\\n //this.value = value_clone;\\n }\",\n \"static void setNotCopying(){isCopying=false;}\",\n \"void copy(DependencyRelations deps){\\n if (deps == null)\\n throw new IllegalArgumentException(\\\"the source is null.\\\");\\n\\n size_ = deps.size_;\\n for(int i = 0; i < size_ ; i++){\\n if (nodes_[i] == null)\\n nodes_[i] = new Node();\\n nodes_[i].copy(deps.nodes_[i]);\\n }\\n }\",\n \"@SuppressWarnings(\\\"All\\\")\\n public <T> void copy(MyList<? super T> to, MyList<? extends T> from) {\\n\\n System.out.println(\\\"from size \\\" + from.size);\\n for (int i = 0; i < from.getSize(); i++) {\\n to.add(from.getByIndex(i));\\n }\\n }\",\n \"public void copy(Posts that) {\\r\\n\\t\\tsetId(that.getId());\\r\\n\\t\\tsetTitle(that.getTitle());\\r\\n\\t\\tsetContent(that.getContent());\\r\\n\\t\\tsetShareDate(that.getShareDate());\\r\\n\\t\\tsetIsPrivate(that.getIsPrivate());\\r\\n\\t\\tsetUsers(that.getUsers());\\r\\n\\t\\tsetCommentses(new java.util.LinkedHashSet<com.ira.domain.Comments>(that.getCommentses()));\\r\\n\\t}\",\n \"@Override\\n public TopicObject copy() {\\n return new TopicObject(this);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7214815","0.6982586","0.6743959","0.66792786","0.6563397","0.6549605","0.65230364","0.652084","0.64842516","0.64743775","0.6450891","0.6438907","0.64186275","0.640633","0.6403375","0.63743764","0.6373319","0.6358263","0.6322797","0.63214344","0.62839","0.6270614","0.6265534","0.6262602","0.6245396","0.6226707","0.62195224","0.6199828","0.6194176","0.61679715","0.61505216","0.6141201","0.6141201","0.613657","0.61238766","0.6113572","0.6078777","0.6067093","0.6051407","0.60489607","0.60435355","0.6034403","0.6030665","0.603029","0.6002317","0.5987207","0.5984917","0.59831345","0.5962016","0.5931717","0.59043086","0.58999294","0.58940864","0.5888768","0.5887435","0.5887003","0.5872753","0.58715606","0.5867456","0.5854781","0.5835268","0.5833011","0.58237326","0.58237326","0.58237326","0.58237326","0.5821464","0.5818652","0.5814066","0.57974726","0.579667","0.5792226","0.57900447","0.57734174","0.57581633","0.5751797","0.57507133","0.5744841","0.5744065","0.5744024","0.5743795","0.5740732","0.57376605","0.5736934","0.5736099","0.5727886","0.5727659","0.5714002","0.5700601","0.56953377","0.5689013","0.5682943","0.5676875","0.56736434","0.56729144","0.567041","0.5669635","0.56651294","0.56643426","0.5662451","0.5647604"],"string":"[\n \"0.7214815\",\n \"0.6982586\",\n \"0.6743959\",\n \"0.66792786\",\n \"0.6563397\",\n \"0.6549605\",\n \"0.65230364\",\n \"0.652084\",\n \"0.64842516\",\n \"0.64743775\",\n \"0.6450891\",\n \"0.6438907\",\n \"0.64186275\",\n \"0.640633\",\n \"0.6403375\",\n \"0.63743764\",\n \"0.6373319\",\n \"0.6358263\",\n \"0.6322797\",\n \"0.63214344\",\n \"0.62839\",\n \"0.6270614\",\n \"0.6265534\",\n \"0.6262602\",\n \"0.6245396\",\n \"0.6226707\",\n \"0.62195224\",\n \"0.6199828\",\n \"0.6194176\",\n \"0.61679715\",\n \"0.61505216\",\n \"0.6141201\",\n \"0.6141201\",\n \"0.613657\",\n \"0.61238766\",\n \"0.6113572\",\n \"0.6078777\",\n \"0.6067093\",\n \"0.6051407\",\n \"0.60489607\",\n \"0.60435355\",\n \"0.6034403\",\n \"0.6030665\",\n \"0.603029\",\n \"0.6002317\",\n \"0.5987207\",\n \"0.5984917\",\n \"0.59831345\",\n \"0.5962016\",\n \"0.5931717\",\n \"0.59043086\",\n \"0.58999294\",\n \"0.58940864\",\n \"0.5888768\",\n \"0.5887435\",\n \"0.5887003\",\n \"0.5872753\",\n \"0.58715606\",\n \"0.5867456\",\n \"0.5854781\",\n \"0.5835268\",\n \"0.5833011\",\n \"0.58237326\",\n \"0.58237326\",\n \"0.58237326\",\n \"0.58237326\",\n \"0.5821464\",\n \"0.5818652\",\n \"0.5814066\",\n \"0.57974726\",\n \"0.579667\",\n \"0.5792226\",\n \"0.57900447\",\n \"0.57734174\",\n \"0.57581633\",\n \"0.5751797\",\n \"0.57507133\",\n \"0.5744841\",\n \"0.5744065\",\n \"0.5744024\",\n \"0.5743795\",\n \"0.5740732\",\n \"0.57376605\",\n \"0.5736934\",\n \"0.5736099\",\n \"0.5727886\",\n \"0.5727659\",\n \"0.5714002\",\n \"0.5700601\",\n \"0.56953377\",\n \"0.5689013\",\n \"0.5682943\",\n \"0.5676875\",\n \"0.56736434\",\n \"0.56729144\",\n \"0.567041\",\n \"0.5669635\",\n \"0.56651294\",\n \"0.56643426\",\n \"0.5662451\",\n \"0.5647604\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":32598,"cells":{"query":{"kind":"string","value":"Returns true if field bidPrice4 is set (has been assigned a value) and false otherwise"},"document":{"kind":"string","value":"public boolean isSetBidPrice4() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE4_ISSET_ID);\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public boolean isSetBidPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE_ISSET_ID);\n }","public boolean isSetBidPrice5() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE5_ISSET_ID);\n }","public boolean isSetBidVolume4() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME4_ISSET_ID);\n }","public boolean isSetPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __PRICE_ISSET_ID);\n }","public boolean isSetB2bprice() {\n return __isset_bit_vector.get(__B2BPRICE_ISSET_ID);\n }","public boolean isSetLimitPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __LIMITPRICE_ISSET_ID);\n }","public boolean hasPrice() {\n return ((bitField0_ & 0x00000020) == 0x00000020);\n }","public boolean isSetAskPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __ASKPRICE_ISSET_ID);\n }","public boolean hasPrice() {\n return ((bitField0_ & 0x00000020) == 0x00000020);\n }","public boolean hasPrice() {\n return priceBuilder_ != null || price_ != null;\n }","public boolean hasPrice() {\n return ((bitField0_ & 0x00000010) == 0x00000010);\n }","public boolean hasPrice() {\n return ((bitField0_ & 0x00000010) == 0x00000010);\n }","public boolean isSetC2bprice() {\n return __isset_bit_vector.get(__C2BPRICE_ISSET_ID);\n }","public boolean isSetPriceLimit();","public boolean isSetTradePrice() {\n return EncodingUtils.testBit(__isset_bitfield, __TRADEPRICE_ISSET_ID);\n }","public boolean hasPrice() {\n return price_ != null;\n }","public boolean isSetMarketPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __MARKETPRICE_ISSET_ID);\n }","public boolean hasCampaignprice() {\n return ((bitField0_ & 0x00000004) == 0x00000004);\n }","public boolean hasCampaignprice() {\n return ((bitField0_ & 0x00000004) == 0x00000004);\n }","public boolean isSetTeamPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __TEAMPRICE_ISSET_ID);\n }","public boolean isSet(_Fields field) {\n if (field == null) {\n throw new IllegalArgumentException();\n }\n\n switch (field) {\n case BID_PRICE4:\n return isSetBidPrice4();\n case BID_VOLUME4:\n return isSetBidVolume4();\n case BID_PRICE5:\n return isSetBidPrice5();\n case BID_VOLUME5:\n return isSetBidVolume5();\n }\n throw new IllegalStateException();\n }","public boolean isSetCarreferprice() {\n return __isset_bit_vector.get(__CARREFERPRICE_ISSET_ID);\n }","public boolean isSetDisplayprice() {\n return __isset_bit_vector.get(__DISPLAYPRICE_ISSET_ID);\n }","boolean hasPrice();","boolean hasPrice();","boolean hasPrice();","public boolean priceIsValid() {\n if (bikePrice.length() != 0)\n return Double.parseDouble(bikePrice) >= MIN_BIKE_PRICE;\n\n return false;\n }","public boolean isSetBidVolume() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME_ISSET_ID);\n }","boolean hasCampaignprice();","public boolean isSetPreRepayAmt() {\n return EncodingUtils.testBit(__isset_bitfield, __PREREPAYAMT_ISSET_ID);\n }","public boolean isSetPriceList();","public boolean hasBidid() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean isSetBidVolume5() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME5_ISSET_ID);\n }","public boolean hasBidid() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean isSetBudget() {\n return EncodingUtils.testBit(__isset_bitfield, __BUDGET_ISSET_ID);\n }","public boolean validateBid(int auctionID, int price) throws SQLException {\n\t\tif (price <= getMaxBidPrice(auctionID)) {\n\t\t\treturn false;\n\t\t}\n\n\t\treturn true;\n\t}","public boolean isSetBrandid() {\n return __isset_bit_vector.get(__BRANDID_ISSET_ID);\n }","public boolean isSetPriceStd();","public boolean isSetPositionAvgPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __POSITIONAVGPRICE_ISSET_ID);\n }","public boolean hasBidresponse() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean isSetBuycardate() {\n return this.buycardate != null;\n }","boolean hasExchangeprice();","public boolean hasBidresponse() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean canBecombo(){\n \treturn super.getPrice() <4;\n }","public boolean hasExchangeprice() {\n return ((bitField0_ & 0x00000008) == 0x00000008);\n }","boolean hasCampaignBidModifier();","boolean hasBidid();","public boolean hasExchangeprice() {\n return ((bitField0_ & 0x00000008) == 0x00000008);\n }","boolean hasBidresponse();","boolean isSetAmount();","protected abstract boolean canHaveAsPrice(DukatAmount price);","public void setSMART_OPTION4(BigDecimal SMART_OPTION4) {\r\n this.SMART_OPTION4 = SMART_OPTION4;\r\n }","public void setSMART_OPTION4(BigDecimal SMART_OPTION4) {\r\n this.SMART_OPTION4 = SMART_OPTION4;\r\n }","boolean hasBidrequest();","public boolean canBecombo(){\n \treturn price <5;\n }","public boolean isSetGibbsq()\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return get_store().count_elements(GIBBSQ$2) != 0;\r\n }\r\n }","public boolean IsPayed(){\n\t\treturn payed;\n\t}","public boolean isSetProductId() {\n return EncodingUtils.testBit(__isset_bitfield, __PRODUCTID_ISSET_ID);\n }","boolean hasMoneyValue();","boolean hasMoneyValue();","public boolean isSetAmount() {\n return EncodingUtils.testBit(__isset_bitfield, __AMOUNT_ISSET_ID);\n }","public boolean isDBValid(){\r\n return noInduk != null && !noInduk.isEmpty();\r\n }","public boolean isSetCurrencyID() {\n return this.currencyID != null;\n }","public boolean hasBidrequest() {\n return ((bitField0_ & 0x00000001) == 0x00000001);\n }","public boolean isSetBaidumap() {\n return this.baidumap != null;\n }","public boolean hasBASECURRENCYID() {\n return fieldSetFlags()[2];\n }","public boolean isSetAmount()\n {\n synchronized (monitor())\n {\n check_orphaned();\n return get_store().count_elements(AMOUNT$6) != 0;\n }\n }","public static boolean processBidding() {\r\n\t\tboolean done = true;\r\n\t\t\r\n\t\t//Check if all the choice boxes have been selected.\r\n\t\tif (FrameUtils.player1Bid.getSelectedIndex() == -1\r\n\t\t\t\t|| FrameUtils.player1Bid.getSelectedIndex() == 0) {\r\n\t\t\tdone = false;\r\n\t\t}\r\n\t\tif (FrameUtils.player2Bid.getSelectedIndex() == -1\r\n\t\t\t\t|| FrameUtils.player2Bid.getSelectedIndex() == 0) {\r\n\t\t\tdone = false;\r\n\t\t}\r\n\t\tif (FrameUtils.player3Bid.getSelectedIndex() == -1\r\n\t\t\t\t|| FrameUtils.player3Bid.getSelectedIndex() == 0) {\r\n\t\t\tdone = false;\r\n\t\t}\r\n\t\t\r\n\t\t//Don't check fourth player if playing three handed game.\r\n\t\tif (!Main.isThreeHanded) {\r\n\t\t\tif (FrameUtils.player4Bid.getSelectedIndex() == -1\r\n\t\t\t\t\t|| FrameUtils.player4Bid.getSelectedIndex() == 0) {\r\n\t\t\t\tdone = false;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t//Show dialog box reminder.\r\n\t\tif (!done) FrameUtils.showDialogBox(\"An incorrect bid was made.\");\r\n\t\t\r\n\t\t//Save bid data.\r\n\t\tsaveBidData();\r\n\t\t\t\r\n\t\treturn done;\r\n\t}","public boolean hasBidrequest() {\n return ((bitField0_ & 0x00000001) == 0x00000001);\n }","public void setIsSetPriceLimit (boolean IsSetPriceLimit);","public void setBidPrice(double bidPrice) {\n\t\tthis.bidPrice = bidPrice;\n\t}","Boolean isAllowingNewAuctions();","private boolean validateBidPrice(String value){\n boolean isValid = true;\n\n if (value == null || value.isEmpty()) {\n isValid = false;\n } else {\n\n try {\n Float valueFloat = Float.valueOf(value);\n } catch (NumberFormatException e) {\n isValid = false;\n }\n\n if (isValid && value.contains(\".\")) {\n String[] priceParts = value.split(\"\\\\.\");\n if (priceParts[1].length() > 2) {\n isValid = false;\n }\n }\n }\n\n return isValid;\n }","public boolean isSetShouldPrepaymentFee() {\n return EncodingUtils.testBit(__isset_bitfield, __SHOULDPREPAYMENTFEE_ISSET_ID);\n }","boolean isSetValueQuantity();","public boolean isSetBidHedgeFlag() {\n return this.bidHedgeFlag != null;\n }","public boolean hasVar4() {\n return fieldSetFlags()[5];\n }","boolean hasField4();","public final boolean mo43124d() {\n return get() == 4;\n }","public boolean isSetInner_double() {\n return EncodingUtils.testBit(__isset_bitfield, __INNER_DOUBLE_ISSET_ID);\n }","boolean hasAdGroupBidModifier();","public boolean hasField4() {\n return ((bitField0_ & 0x00000010) == 0x00000010);\n }","public boolean hasField4() {\n return ((bitField0_ & 0x00000010) == 0x00000010);\n }","public boolean isSetGibbmt()\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return get_store().count_elements(GIBBMT$4) != 0;\r\n }\r\n }","public boolean hasCurrencyID() {\n return fieldSetFlags()[10];\n }","public boolean isSetAmountOpen()\n {\n synchronized (monitor())\n {\n check_orphaned();\n return get_store().count_elements(AMOUNTOPEN$8) != 0;\n }\n }","boolean isSetCapitalPayed();","public boolean checkValidity() {\n String sep = DECIMAL_FORMAT.getDecimalFormatSymbols().getDecimalSeparator() + \"\";\n String name = nameField.getText().trim();\n String priceText = valueField.getText().trim();\n if (name.equals(\"\") || priceText.equals(\"\")) {\n Utils.showWarningMessage(getRootPane(), \"The fields can not be empty!\");\n return false;\n }\n String price = priceText.replace(sep, \"\");\n if (!price.matches(\"^[0-9]+$\")) {\n Utils.showWarningMessage(getRootPane(), \"Please enter a valid price!\");\n return false;\n }\n int priceInt = Integer.parseInt(price);\n if (priceInt == 0) {\n Utils.showWarningMessage(getRootPane(), \"The price can not be 0.\");\n return false;\n }\n return true;\n }","public boolean isSetRevenue() {\n return EncodingUtils.testBit(__isset_bitfield, __REVENUE_ISSET_ID);\n }","public boolean isSetDouble_vals() {\n return this.double_vals != null;\n }","boolean hasBonusMoneyID();","public boolean isSet() {\r\n\t\tboolean isSet = false;\r\n\r\n\t\tif (this.time != null && this.id != null && this.price != null && this.quantity != null && this.type != null) {\r\n\t\t\tisSet = true;\r\n\r\n\t\t}\r\n\r\n\t\treturn isSet;\r\n\t}","public void validateInitPrice(String value){\n boolean isValid = validateBidPrice(value);\n setInitPriceValid(isValid);\n }","public boolean isSetYearPay() {\n return EncodingUtils.testBit(__isset_bitfield, __YEARPAY_ISSET_ID);\n }","boolean hasBonusMoney();","protected boolean isOnPayline() {\n return getY()==getHeight();\n }","public boolean checkpay(){\n return pay;\n }","public boolean isComplete() {\r\n return currency != null && amount != null;\r\n }","public boolean isPaid(){\n return this.totalPaid>=this.getGrandTotal();\n }","public boolean isSetRelease_date() {\n return this.release_date != null;\n }"],"string":"[\n \"public boolean isSetBidPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE_ISSET_ID);\\n }\",\n \"public boolean isSetBidPrice5() {\\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE5_ISSET_ID);\\n }\",\n \"public boolean isSetBidVolume4() {\\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME4_ISSET_ID);\\n }\",\n \"public boolean isSetPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __PRICE_ISSET_ID);\\n }\",\n \"public boolean isSetB2bprice() {\\n return __isset_bit_vector.get(__B2BPRICE_ISSET_ID);\\n }\",\n \"public boolean isSetLimitPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __LIMITPRICE_ISSET_ID);\\n }\",\n \"public boolean hasPrice() {\\n return ((bitField0_ & 0x00000020) == 0x00000020);\\n }\",\n \"public boolean isSetAskPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __ASKPRICE_ISSET_ID);\\n }\",\n \"public boolean hasPrice() {\\n return ((bitField0_ & 0x00000020) == 0x00000020);\\n }\",\n \"public boolean hasPrice() {\\n return priceBuilder_ != null || price_ != null;\\n }\",\n \"public boolean hasPrice() {\\n return ((bitField0_ & 0x00000010) == 0x00000010);\\n }\",\n \"public boolean hasPrice() {\\n return ((bitField0_ & 0x00000010) == 0x00000010);\\n }\",\n \"public boolean isSetC2bprice() {\\n return __isset_bit_vector.get(__C2BPRICE_ISSET_ID);\\n }\",\n \"public boolean isSetPriceLimit();\",\n \"public boolean isSetTradePrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __TRADEPRICE_ISSET_ID);\\n }\",\n \"public boolean hasPrice() {\\n return price_ != null;\\n }\",\n \"public boolean isSetMarketPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __MARKETPRICE_ISSET_ID);\\n }\",\n \"public boolean hasCampaignprice() {\\n return ((bitField0_ & 0x00000004) == 0x00000004);\\n }\",\n \"public boolean hasCampaignprice() {\\n return ((bitField0_ & 0x00000004) == 0x00000004);\\n }\",\n \"public boolean isSetTeamPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __TEAMPRICE_ISSET_ID);\\n }\",\n \"public boolean isSet(_Fields field) {\\n if (field == null) {\\n throw new IllegalArgumentException();\\n }\\n\\n switch (field) {\\n case BID_PRICE4:\\n return isSetBidPrice4();\\n case BID_VOLUME4:\\n return isSetBidVolume4();\\n case BID_PRICE5:\\n return isSetBidPrice5();\\n case BID_VOLUME5:\\n return isSetBidVolume5();\\n }\\n throw new IllegalStateException();\\n }\",\n \"public boolean isSetCarreferprice() {\\n return __isset_bit_vector.get(__CARREFERPRICE_ISSET_ID);\\n }\",\n \"public boolean isSetDisplayprice() {\\n return __isset_bit_vector.get(__DISPLAYPRICE_ISSET_ID);\\n }\",\n \"boolean hasPrice();\",\n \"boolean hasPrice();\",\n \"boolean hasPrice();\",\n \"public boolean priceIsValid() {\\n if (bikePrice.length() != 0)\\n return Double.parseDouble(bikePrice) >= MIN_BIKE_PRICE;\\n\\n return false;\\n }\",\n \"public boolean isSetBidVolume() {\\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME_ISSET_ID);\\n }\",\n \"boolean hasCampaignprice();\",\n \"public boolean isSetPreRepayAmt() {\\n return EncodingUtils.testBit(__isset_bitfield, __PREREPAYAMT_ISSET_ID);\\n }\",\n \"public boolean isSetPriceList();\",\n \"public boolean hasBidid() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean isSetBidVolume5() {\\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME5_ISSET_ID);\\n }\",\n \"public boolean hasBidid() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean isSetBudget() {\\n return EncodingUtils.testBit(__isset_bitfield, __BUDGET_ISSET_ID);\\n }\",\n \"public boolean validateBid(int auctionID, int price) throws SQLException {\\n\\t\\tif (price <= getMaxBidPrice(auctionID)) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\t\\treturn true;\\n\\t}\",\n \"public boolean isSetBrandid() {\\n return __isset_bit_vector.get(__BRANDID_ISSET_ID);\\n }\",\n \"public boolean isSetPriceStd();\",\n \"public boolean isSetPositionAvgPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __POSITIONAVGPRICE_ISSET_ID);\\n }\",\n \"public boolean hasBidresponse() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean isSetBuycardate() {\\n return this.buycardate != null;\\n }\",\n \"boolean hasExchangeprice();\",\n \"public boolean hasBidresponse() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean canBecombo(){\\n \\treturn super.getPrice() <4;\\n }\",\n \"public boolean hasExchangeprice() {\\n return ((bitField0_ & 0x00000008) == 0x00000008);\\n }\",\n \"boolean hasCampaignBidModifier();\",\n \"boolean hasBidid();\",\n \"public boolean hasExchangeprice() {\\n return ((bitField0_ & 0x00000008) == 0x00000008);\\n }\",\n \"boolean hasBidresponse();\",\n \"boolean isSetAmount();\",\n \"protected abstract boolean canHaveAsPrice(DukatAmount price);\",\n \"public void setSMART_OPTION4(BigDecimal SMART_OPTION4) {\\r\\n this.SMART_OPTION4 = SMART_OPTION4;\\r\\n }\",\n \"public void setSMART_OPTION4(BigDecimal SMART_OPTION4) {\\r\\n this.SMART_OPTION4 = SMART_OPTION4;\\r\\n }\",\n \"boolean hasBidrequest();\",\n \"public boolean canBecombo(){\\n \\treturn price <5;\\n }\",\n \"public boolean isSetGibbsq()\\r\\n {\\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return get_store().count_elements(GIBBSQ$2) != 0;\\r\\n }\\r\\n }\",\n \"public boolean IsPayed(){\\n\\t\\treturn payed;\\n\\t}\",\n \"public boolean isSetProductId() {\\n return EncodingUtils.testBit(__isset_bitfield, __PRODUCTID_ISSET_ID);\\n }\",\n \"boolean hasMoneyValue();\",\n \"boolean hasMoneyValue();\",\n \"public boolean isSetAmount() {\\n return EncodingUtils.testBit(__isset_bitfield, __AMOUNT_ISSET_ID);\\n }\",\n \"public boolean isDBValid(){\\r\\n return noInduk != null && !noInduk.isEmpty();\\r\\n }\",\n \"public boolean isSetCurrencyID() {\\n return this.currencyID != null;\\n }\",\n \"public boolean hasBidrequest() {\\n return ((bitField0_ & 0x00000001) == 0x00000001);\\n }\",\n \"public boolean isSetBaidumap() {\\n return this.baidumap != null;\\n }\",\n \"public boolean hasBASECURRENCYID() {\\n return fieldSetFlags()[2];\\n }\",\n \"public boolean isSetAmount()\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n return get_store().count_elements(AMOUNT$6) != 0;\\n }\\n }\",\n \"public static boolean processBidding() {\\r\\n\\t\\tboolean done = true;\\r\\n\\t\\t\\r\\n\\t\\t//Check if all the choice boxes have been selected.\\r\\n\\t\\tif (FrameUtils.player1Bid.getSelectedIndex() == -1\\r\\n\\t\\t\\t\\t|| FrameUtils.player1Bid.getSelectedIndex() == 0) {\\r\\n\\t\\t\\tdone = false;\\r\\n\\t\\t}\\r\\n\\t\\tif (FrameUtils.player2Bid.getSelectedIndex() == -1\\r\\n\\t\\t\\t\\t|| FrameUtils.player2Bid.getSelectedIndex() == 0) {\\r\\n\\t\\t\\tdone = false;\\r\\n\\t\\t}\\r\\n\\t\\tif (FrameUtils.player3Bid.getSelectedIndex() == -1\\r\\n\\t\\t\\t\\t|| FrameUtils.player3Bid.getSelectedIndex() == 0) {\\r\\n\\t\\t\\tdone = false;\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t//Don't check fourth player if playing three handed game.\\r\\n\\t\\tif (!Main.isThreeHanded) {\\r\\n\\t\\t\\tif (FrameUtils.player4Bid.getSelectedIndex() == -1\\r\\n\\t\\t\\t\\t\\t|| FrameUtils.player4Bid.getSelectedIndex() == 0) {\\r\\n\\t\\t\\t\\tdone = false;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//Show dialog box reminder.\\r\\n\\t\\tif (!done) FrameUtils.showDialogBox(\\\"An incorrect bid was made.\\\");\\r\\n\\t\\t\\r\\n\\t\\t//Save bid data.\\r\\n\\t\\tsaveBidData();\\r\\n\\t\\t\\t\\r\\n\\t\\treturn done;\\r\\n\\t}\",\n \"public boolean hasBidrequest() {\\n return ((bitField0_ & 0x00000001) == 0x00000001);\\n }\",\n \"public void setIsSetPriceLimit (boolean IsSetPriceLimit);\",\n \"public void setBidPrice(double bidPrice) {\\n\\t\\tthis.bidPrice = bidPrice;\\n\\t}\",\n \"Boolean isAllowingNewAuctions();\",\n \"private boolean validateBidPrice(String value){\\n boolean isValid = true;\\n\\n if (value == null || value.isEmpty()) {\\n isValid = false;\\n } else {\\n\\n try {\\n Float valueFloat = Float.valueOf(value);\\n } catch (NumberFormatException e) {\\n isValid = false;\\n }\\n\\n if (isValid && value.contains(\\\".\\\")) {\\n String[] priceParts = value.split(\\\"\\\\\\\\.\\\");\\n if (priceParts[1].length() > 2) {\\n isValid = false;\\n }\\n }\\n }\\n\\n return isValid;\\n }\",\n \"public boolean isSetShouldPrepaymentFee() {\\n return EncodingUtils.testBit(__isset_bitfield, __SHOULDPREPAYMENTFEE_ISSET_ID);\\n }\",\n \"boolean isSetValueQuantity();\",\n \"public boolean isSetBidHedgeFlag() {\\n return this.bidHedgeFlag != null;\\n }\",\n \"public boolean hasVar4() {\\n return fieldSetFlags()[5];\\n }\",\n \"boolean hasField4();\",\n \"public final boolean mo43124d() {\\n return get() == 4;\\n }\",\n \"public boolean isSetInner_double() {\\n return EncodingUtils.testBit(__isset_bitfield, __INNER_DOUBLE_ISSET_ID);\\n }\",\n \"boolean hasAdGroupBidModifier();\",\n \"public boolean hasField4() {\\n return ((bitField0_ & 0x00000010) == 0x00000010);\\n }\",\n \"public boolean hasField4() {\\n return ((bitField0_ & 0x00000010) == 0x00000010);\\n }\",\n \"public boolean isSetGibbmt()\\r\\n {\\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return get_store().count_elements(GIBBMT$4) != 0;\\r\\n }\\r\\n }\",\n \"public boolean hasCurrencyID() {\\n return fieldSetFlags()[10];\\n }\",\n \"public boolean isSetAmountOpen()\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n return get_store().count_elements(AMOUNTOPEN$8) != 0;\\n }\\n }\",\n \"boolean isSetCapitalPayed();\",\n \"public boolean checkValidity() {\\n String sep = DECIMAL_FORMAT.getDecimalFormatSymbols().getDecimalSeparator() + \\\"\\\";\\n String name = nameField.getText().trim();\\n String priceText = valueField.getText().trim();\\n if (name.equals(\\\"\\\") || priceText.equals(\\\"\\\")) {\\n Utils.showWarningMessage(getRootPane(), \\\"The fields can not be empty!\\\");\\n return false;\\n }\\n String price = priceText.replace(sep, \\\"\\\");\\n if (!price.matches(\\\"^[0-9]+$\\\")) {\\n Utils.showWarningMessage(getRootPane(), \\\"Please enter a valid price!\\\");\\n return false;\\n }\\n int priceInt = Integer.parseInt(price);\\n if (priceInt == 0) {\\n Utils.showWarningMessage(getRootPane(), \\\"The price can not be 0.\\\");\\n return false;\\n }\\n return true;\\n }\",\n \"public boolean isSetRevenue() {\\n return EncodingUtils.testBit(__isset_bitfield, __REVENUE_ISSET_ID);\\n }\",\n \"public boolean isSetDouble_vals() {\\n return this.double_vals != null;\\n }\",\n \"boolean hasBonusMoneyID();\",\n \"public boolean isSet() {\\r\\n\\t\\tboolean isSet = false;\\r\\n\\r\\n\\t\\tif (this.time != null && this.id != null && this.price != null && this.quantity != null && this.type != null) {\\r\\n\\t\\t\\tisSet = true;\\r\\n\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\treturn isSet;\\r\\n\\t}\",\n \"public void validateInitPrice(String value){\\n boolean isValid = validateBidPrice(value);\\n setInitPriceValid(isValid);\\n }\",\n \"public boolean isSetYearPay() {\\n return EncodingUtils.testBit(__isset_bitfield, __YEARPAY_ISSET_ID);\\n }\",\n \"boolean hasBonusMoney();\",\n \"protected boolean isOnPayline() {\\n return getY()==getHeight();\\n }\",\n \"public boolean checkpay(){\\n return pay;\\n }\",\n \"public boolean isComplete() {\\r\\n return currency != null && amount != null;\\r\\n }\",\n \"public boolean isPaid(){\\n return this.totalPaid>=this.getGrandTotal();\\n }\",\n \"public boolean isSetRelease_date() {\\n return this.release_date != null;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.76758\",\n \"0.7220573\",\n \"0.72187155\",\n \"0.70055294\",\n \"0.69942766\",\n \"0.68164337\",\n \"0.67566586\",\n \"0.6724988\",\n \"0.6706602\",\n \"0.66881806\",\n \"0.6667175\",\n \"0.6666808\",\n \"0.66371953\",\n \"0.65638375\",\n \"0.6538531\",\n \"0.6519271\",\n \"0.64826477\",\n \"0.6428874\",\n \"0.63891405\",\n \"0.6388483\",\n \"0.6388362\",\n \"0.6305812\",\n \"0.6281834\",\n \"0.62166005\",\n \"0.62166005\",\n \"0.62166005\",\n \"0.6191152\",\n \"0.61652535\",\n \"0.61158955\",\n \"0.60568273\",\n \"0.60513276\",\n \"0.6046704\",\n \"0.6044545\",\n \"0.6037749\",\n \"0.6008304\",\n \"0.59605336\",\n \"0.5880974\",\n \"0.5879543\",\n \"0.587532\",\n \"0.5869249\",\n \"0.58586377\",\n \"0.5846157\",\n \"0.5840916\",\n \"0.5819394\",\n \"0.5816147\",\n \"0.5813458\",\n \"0.5801979\",\n \"0.57957375\",\n \"0.5786368\",\n \"0.5773096\",\n \"0.57720184\",\n \"0.576687\",\n \"0.576687\",\n \"0.57568824\",\n \"0.5730435\",\n \"0.571902\",\n \"0.57092243\",\n \"0.5697516\",\n \"0.5686034\",\n \"0.5686034\",\n \"0.5684034\",\n \"0.5673945\",\n \"0.56710166\",\n \"0.56564444\",\n \"0.5653694\",\n \"0.5646501\",\n \"0.564416\",\n \"0.5641232\",\n \"0.56380814\",\n \"0.5630744\",\n \"0.5628232\",\n \"0.5582312\",\n \"0.55742615\",\n \"0.55738163\",\n \"0.5552571\",\n \"0.5550925\",\n \"0.55441886\",\n \"0.5533673\",\n \"0.55263394\",\n \"0.5523395\",\n \"0.5518563\",\n \"0.5515409\",\n \"0.5508269\",\n \"0.55023205\",\n \"0.5497788\",\n \"0.5494711\",\n \"0.5481927\",\n \"0.5468926\",\n \"0.5466246\",\n \"0.54653215\",\n \"0.5464149\",\n \"0.54630077\",\n \"0.5460927\",\n \"0.5453213\",\n \"0.5442391\",\n \"0.54400826\",\n \"0.5439826\",\n \"0.543394\",\n \"0.54305726\",\n \"0.54148847\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.8383622"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":32599,"cells":{"query":{"kind":"string","value":"Returns true if field bidVolume4 is set (has been assigned a value) and false otherwise"},"document":{"kind":"string","value":"public boolean isSetBidVolume4() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME4_ISSET_ID);\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public boolean isSetBidVolume() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME_ISSET_ID);\n }","public boolean isSetBidVolume5() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME5_ISSET_ID);\n }","public boolean isSetBidPrice4() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE4_ISSET_ID);\n }","public boolean isSetAskVolume() {\n return EncodingUtils.testBit(__isset_bitfield, __ASKVOLUME_ISSET_ID);\n }","public boolean isSetTradeVolume() {\n return EncodingUtils.testBit(__isset_bitfield, __TRADEVOLUME_ISSET_ID);\n }","public boolean hasVolume() {\n return ((bitField0_ & 0x00000008) == 0x00000008);\n }","public boolean hasVolume() {\n return ((bitField0_ & 0x00000008) == 0x00000008);\n }","public boolean isSetBidPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE_ISSET_ID);\n }","public boolean isSet(_Fields field) {\n if (field == null) {\n throw new IllegalArgumentException();\n }\n\n switch (field) {\n case BID_PRICE4:\n return isSetBidPrice4();\n case BID_VOLUME4:\n return isSetBidVolume4();\n case BID_PRICE5:\n return isSetBidPrice5();\n case BID_VOLUME5:\n return isSetBidVolume5();\n }\n throw new IllegalStateException();\n }","public boolean isSetBidPrice5() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE5_ISSET_ID);\n }","boolean hasHadithVolumeNo();","public boolean isSetOrderTotalVolume() {\n return EncodingUtils.testBit(__isset_bitfield, __ORDERTOTALVOLUME_ISSET_ID);\n }","boolean hasVolume();","public boolean hasBidid() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean hasBidid() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean isSetBand1V()\n {\n synchronized (monitor())\n {\n check_orphaned();\n return get_store().count_elements(BAND1V$8) != 0;\n }\n }","public boolean isSetB2bprice() {\n return __isset_bit_vector.get(__B2BPRICE_ISSET_ID);\n }","public boolean hasVar4() {\n return fieldSetFlags()[5];\n }","protected boolean setBathWaterVolumeSetting3(byte[] edt) {return false;}","public boolean isSetBand2V()\n {\n synchronized (monitor())\n {\n check_orphaned();\n return get_store().count_elements(BAND2V$10) != 0;\n }\n }","public boolean test(FluidVolume volume) {\n\t\treturn volume.test(getFluid()) && volume.hasAvailable(getAmount());\n\t}","protected boolean setBathWaterVolumeSetting1(byte[] edt) {return false;}","boolean isSetValueQuantity();","public boolean isSetVertBwMax() {\n return (this.vertBwMax != null ? this.vertBwMax.isSetValue() : false);\n }","public boolean hasField4() {\n return ((bitField0_ & 0x00000010) == 0x00000010);\n }","public boolean hasField4() {\n return ((bitField0_ & 0x00000010) == 0x00000010);\n }","public boolean isSetVertBwMin() {\n return (this.vertBwMin != null ? this.vertBwMin.isSetValue() : false);\n }","public boolean hasVar195() {\n return fieldSetFlags()[196];\n }","boolean hasCampaignBidModifier();","public boolean isSetBrandid() {\n return __isset_bit_vector.get(__BRANDID_ISSET_ID);\n }","protected boolean setBathWaterVolumeSetting2(byte[] edt) {return false;}","public boolean isSetPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __PRICE_ISSET_ID);\n }","public boolean isSetC2bprice() {\n return __isset_bit_vector.get(__C2BPRICE_ISSET_ID);\n }","public boolean hasVar54() {\n return fieldSetFlags()[55];\n }","public boolean isSetDrivingmileage() {\n return __isset_bit_vector.get(__DRIVINGMILEAGE_ISSET_ID);\n }","public boolean setPropertyVolume(long aValue);","boolean isSetValueAttachment();","public boolean isSetBaidumap() {\n return this.baidumap != null;\n }","protected boolean setBathWaterVolumeSetting(byte[] edt) {return false;}","public boolean isSetByte_vals() {\n return this.byte_vals != null;\n }","public boolean hasBidresponse() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean isSetGuardBand() {\n return (this.guardBand != null ? this.guardBand.isSetValue() : false);\n }","public boolean isValid()\r\n {\r\n //Override this method in MediaItem object\r\n return getSemanticObject().getBooleanProperty(swb_valid,false);\r\n }","boolean hasField4();","public boolean isSetBudget() {\n return EncodingUtils.testBit(__isset_bitfield, __BUDGET_ISSET_ID);\n }","public boolean isSetLimitPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __LIMITPRICE_ISSET_ID);\n }","boolean hasBidid();","public boolean hasMPValue() {\n return ((bitField0_ & 0x00000004) == 0x00000004);\n }","public boolean hasVarValue() {\n return ((bitField0_ & 0x00004000) == 0x00004000);\n }","public boolean isSetPreRepayAmt() {\n return EncodingUtils.testBit(__isset_bitfield, __PREREPAYAMT_ISSET_ID);\n }","public boolean hasBidresponse() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","boolean haveMBQuant()\n {\n return ((mbType & QUANT) != 0);\n }","public boolean hasMPValue() {\n return ((bitField0_ & 0x00000004) == 0x00000004);\n }","public boolean hasZeroVolume() {\n\t\treturn getSize() == 0;\n\t}","public boolean isSetLimb() {\n return this.limb != null;\n }","public boolean isSetPositionAvgPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __POSITIONAVGPRICE_ISSET_ID);\n }","public boolean isSetCarreferprice() {\n return __isset_bit_vector.get(__CARREFERPRICE_ISSET_ID);\n }","public boolean hasPrice() {\n return ((bitField0_ & 0x00000020) == 0x00000020);\n }","@Override\n public boolean hasVal() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean hasVar3() {\n return fieldSetFlags()[4];\n }","protected boolean isVolumeOn(int minVal){\n AudioManager audio = (AudioManager) getSystemService(Context.AUDIO_SERVICE);\n int currentVolume = audio.getStreamVolume(AudioManager.STREAM_MUSIC);\n if (currentVolume < minVal){\n printMessege(\"אנא הגבר/י את צלילי המדיה במכשיר שלך\");\n return false;\n }\n return true;\n }","public boolean hasBankID() {\n return fieldSetFlags()[7];\n }","boolean hasPlayerBagId();","boolean hasPlayerBagId();","boolean hasPlayerBagId();","public boolean hasVarValue() {\n return ((bitField0_ & 0x00020000) == 0x00020000);\n }","protected boolean isValidBathWaterVolumeSetting3(byte[] edt) {\n\t\tif(edt == null || !(edt.length == 2)) return false;\n\t\treturn true;\n\t}","public boolean hasBidrequest() {\n return ((bitField0_ & 0x00000001) == 0x00000001);\n }","public boolean hasPrice() {\n return ((bitField0_ & 0x00000010) == 0x00000010);\n }","public boolean hasVar194() {\n return fieldSetFlags()[195];\n }","public boolean isSetAskPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __ASKPRICE_ISSET_ID);\n }","@Override\n public boolean hasVal() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean isSetGibbmt()\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return get_store().count_elements(GIBBMT$4) != 0;\r\n }\r\n }","public boolean hasVal() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean hasVal() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean hasBidrequest() {\n return ((bitField0_ & 0x00000001) == 0x00000001);\n }","public boolean isSetVideo() {\n return EncodingUtils.testBit(__isset_bitfield, __VIDEO_ISSET_ID);\n }","public boolean visible_SetupAssetIDField() {\r\n\t\treturn IsElementVisibleStatus(DefineSetup_AssetID_txtBx);\r\n\t}","public boolean isSetRFSlotDuration() {\n return (this.rfSlotDuration != null ? this.rfSlotDuration.isSetValue() : false);\n }","public boolean hasValue() {\n return ((bitField0_ & 0x00000002) == 0x00000002);\n }","public boolean hasVar250() {\n return fieldSetFlags()[251];\n }","public boolean isSetGibbsq()\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return get_store().count_elements(GIBBSQ$2) != 0;\r\n }\r\n }","public boolean isSetProductId() {\n return EncodingUtils.testBit(__isset_bitfield, __PRODUCTID_ISSET_ID);\n }","public boolean hasB27() {\n return ((bitField0_ & 0x04000000) == 0x04000000);\n }","public boolean hasPrice() {\n return ((bitField0_ & 0x00000010) == 0x00000010);\n }","public boolean isSetCarlevelvalue() {\n return __isset_bit_vector.get(__CARLEVELVALUE_ISSET_ID);\n }","public boolean hasVar55() {\n return fieldSetFlags()[56];\n }","public boolean hasB() {\n return ((bitField0_ & 0x00000001) == 0x00000001);\n }","public boolean hasVar56() {\n return fieldSetFlags()[57];\n }","public boolean hasB() {\n return ((bitField0_ & 0x00000001) == 0x00000001);\n }","public boolean hasVar57() {\n return fieldSetFlags()[58];\n }","public boolean isSetTeamPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __TEAMPRICE_ISSET_ID);\n }","public boolean isSetAmount() {\n return EncodingUtils.testBit(__isset_bitfield, __AMOUNT_ISSET_ID);\n }","public boolean isSetBuycardate() {\n return this.buycardate != null;\n }","public boolean isSetDisplayprice() {\n return __isset_bit_vector.get(__DISPLAYPRICE_ISSET_ID);\n }","public boolean hasB27() {\n return ((bitField0_ & 0x04000000) == 0x04000000);\n }","boolean hasAdGroupBidModifier();","public boolean isDBValid(){\r\n return noInduk != null && !noInduk.isEmpty();\r\n }","public boolean hasVar196() {\n return fieldSetFlags()[197];\n }","protected boolean isValidBathWaterVolumeSetting(byte[] edt) {\n\t\tif(edt == null || !(edt.length == 1)) return false;\n\t\treturn true;\n\t}"],"string":"[\n \"public boolean isSetBidVolume() {\\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME_ISSET_ID);\\n }\",\n \"public boolean isSetBidVolume5() {\\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME5_ISSET_ID);\\n }\",\n \"public boolean isSetBidPrice4() {\\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE4_ISSET_ID);\\n }\",\n \"public boolean isSetAskVolume() {\\n return EncodingUtils.testBit(__isset_bitfield, __ASKVOLUME_ISSET_ID);\\n }\",\n \"public boolean isSetTradeVolume() {\\n return EncodingUtils.testBit(__isset_bitfield, __TRADEVOLUME_ISSET_ID);\\n }\",\n \"public boolean hasVolume() {\\n return ((bitField0_ & 0x00000008) == 0x00000008);\\n }\",\n \"public boolean hasVolume() {\\n return ((bitField0_ & 0x00000008) == 0x00000008);\\n }\",\n \"public boolean isSetBidPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE_ISSET_ID);\\n }\",\n \"public boolean isSet(_Fields field) {\\n if (field == null) {\\n throw new IllegalArgumentException();\\n }\\n\\n switch (field) {\\n case BID_PRICE4:\\n return isSetBidPrice4();\\n case BID_VOLUME4:\\n return isSetBidVolume4();\\n case BID_PRICE5:\\n return isSetBidPrice5();\\n case BID_VOLUME5:\\n return isSetBidVolume5();\\n }\\n throw new IllegalStateException();\\n }\",\n \"public boolean isSetBidPrice5() {\\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE5_ISSET_ID);\\n }\",\n \"boolean hasHadithVolumeNo();\",\n \"public boolean isSetOrderTotalVolume() {\\n return EncodingUtils.testBit(__isset_bitfield, __ORDERTOTALVOLUME_ISSET_ID);\\n }\",\n \"boolean hasVolume();\",\n \"public boolean hasBidid() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean hasBidid() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean isSetBand1V()\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n return get_store().count_elements(BAND1V$8) != 0;\\n }\\n }\",\n \"public boolean isSetB2bprice() {\\n return __isset_bit_vector.get(__B2BPRICE_ISSET_ID);\\n }\",\n \"public boolean hasVar4() {\\n return fieldSetFlags()[5];\\n }\",\n \"protected boolean setBathWaterVolumeSetting3(byte[] edt) {return false;}\",\n \"public boolean isSetBand2V()\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n return get_store().count_elements(BAND2V$10) != 0;\\n }\\n }\",\n \"public boolean test(FluidVolume volume) {\\n\\t\\treturn volume.test(getFluid()) && volume.hasAvailable(getAmount());\\n\\t}\",\n \"protected boolean setBathWaterVolumeSetting1(byte[] edt) {return false;}\",\n \"boolean isSetValueQuantity();\",\n \"public boolean isSetVertBwMax() {\\n return (this.vertBwMax != null ? this.vertBwMax.isSetValue() : false);\\n }\",\n \"public boolean hasField4() {\\n return ((bitField0_ & 0x00000010) == 0x00000010);\\n }\",\n \"public boolean hasField4() {\\n return ((bitField0_ & 0x00000010) == 0x00000010);\\n }\",\n \"public boolean isSetVertBwMin() {\\n return (this.vertBwMin != null ? this.vertBwMin.isSetValue() : false);\\n }\",\n \"public boolean hasVar195() {\\n return fieldSetFlags()[196];\\n }\",\n \"boolean hasCampaignBidModifier();\",\n \"public boolean isSetBrandid() {\\n return __isset_bit_vector.get(__BRANDID_ISSET_ID);\\n }\",\n \"protected boolean setBathWaterVolumeSetting2(byte[] edt) {return false;}\",\n \"public boolean isSetPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __PRICE_ISSET_ID);\\n }\",\n \"public boolean isSetC2bprice() {\\n return __isset_bit_vector.get(__C2BPRICE_ISSET_ID);\\n }\",\n \"public boolean hasVar54() {\\n return fieldSetFlags()[55];\\n }\",\n \"public boolean isSetDrivingmileage() {\\n return __isset_bit_vector.get(__DRIVINGMILEAGE_ISSET_ID);\\n }\",\n \"public boolean setPropertyVolume(long aValue);\",\n \"boolean isSetValueAttachment();\",\n \"public boolean isSetBaidumap() {\\n return this.baidumap != null;\\n }\",\n \"protected boolean setBathWaterVolumeSetting(byte[] edt) {return false;}\",\n \"public boolean isSetByte_vals() {\\n return this.byte_vals != null;\\n }\",\n \"public boolean hasBidresponse() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean isSetGuardBand() {\\n return (this.guardBand != null ? this.guardBand.isSetValue() : false);\\n }\",\n \"public boolean isValid()\\r\\n {\\r\\n //Override this method in MediaItem object\\r\\n return getSemanticObject().getBooleanProperty(swb_valid,false);\\r\\n }\",\n \"boolean hasField4();\",\n \"public boolean isSetBudget() {\\n return EncodingUtils.testBit(__isset_bitfield, __BUDGET_ISSET_ID);\\n }\",\n \"public boolean isSetLimitPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __LIMITPRICE_ISSET_ID);\\n }\",\n \"boolean hasBidid();\",\n \"public boolean hasMPValue() {\\n return ((bitField0_ & 0x00000004) == 0x00000004);\\n }\",\n \"public boolean hasVarValue() {\\n return ((bitField0_ & 0x00004000) == 0x00004000);\\n }\",\n \"public boolean isSetPreRepayAmt() {\\n return EncodingUtils.testBit(__isset_bitfield, __PREREPAYAMT_ISSET_ID);\\n }\",\n \"public boolean hasBidresponse() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"boolean haveMBQuant()\\n {\\n return ((mbType & QUANT) != 0);\\n }\",\n \"public boolean hasMPValue() {\\n return ((bitField0_ & 0x00000004) == 0x00000004);\\n }\",\n \"public boolean hasZeroVolume() {\\n\\t\\treturn getSize() == 0;\\n\\t}\",\n \"public boolean isSetLimb() {\\n return this.limb != null;\\n }\",\n \"public boolean isSetPositionAvgPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __POSITIONAVGPRICE_ISSET_ID);\\n }\",\n \"public boolean isSetCarreferprice() {\\n return __isset_bit_vector.get(__CARREFERPRICE_ISSET_ID);\\n }\",\n \"public boolean hasPrice() {\\n return ((bitField0_ & 0x00000020) == 0x00000020);\\n }\",\n \"@Override\\n public boolean hasVal() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean hasVar3() {\\n return fieldSetFlags()[4];\\n }\",\n \"protected boolean isVolumeOn(int minVal){\\n AudioManager audio = (AudioManager) getSystemService(Context.AUDIO_SERVICE);\\n int currentVolume = audio.getStreamVolume(AudioManager.STREAM_MUSIC);\\n if (currentVolume < minVal){\\n printMessege(\\\"אנא הגבר/י את צלילי המדיה במכשיר שלך\\\");\\n return false;\\n }\\n return true;\\n }\",\n \"public boolean hasBankID() {\\n return fieldSetFlags()[7];\\n }\",\n \"boolean hasPlayerBagId();\",\n \"boolean hasPlayerBagId();\",\n \"boolean hasPlayerBagId();\",\n \"public boolean hasVarValue() {\\n return ((bitField0_ & 0x00020000) == 0x00020000);\\n }\",\n \"protected boolean isValidBathWaterVolumeSetting3(byte[] edt) {\\n\\t\\tif(edt == null || !(edt.length == 2)) return false;\\n\\t\\treturn true;\\n\\t}\",\n \"public boolean hasBidrequest() {\\n return ((bitField0_ & 0x00000001) == 0x00000001);\\n }\",\n \"public boolean hasPrice() {\\n return ((bitField0_ & 0x00000010) == 0x00000010);\\n }\",\n \"public boolean hasVar194() {\\n return fieldSetFlags()[195];\\n }\",\n \"public boolean isSetAskPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __ASKPRICE_ISSET_ID);\\n }\",\n \"@Override\\n public boolean hasVal() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean isSetGibbmt()\\r\\n {\\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return get_store().count_elements(GIBBMT$4) != 0;\\r\\n }\\r\\n }\",\n \"public boolean hasVal() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean hasVal() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean hasBidrequest() {\\n return ((bitField0_ & 0x00000001) == 0x00000001);\\n }\",\n \"public boolean isSetVideo() {\\n return EncodingUtils.testBit(__isset_bitfield, __VIDEO_ISSET_ID);\\n }\",\n \"public boolean visible_SetupAssetIDField() {\\r\\n\\t\\treturn IsElementVisibleStatus(DefineSetup_AssetID_txtBx);\\r\\n\\t}\",\n \"public boolean isSetRFSlotDuration() {\\n return (this.rfSlotDuration != null ? this.rfSlotDuration.isSetValue() : false);\\n }\",\n \"public boolean hasValue() {\\n return ((bitField0_ & 0x00000002) == 0x00000002);\\n }\",\n \"public boolean hasVar250() {\\n return fieldSetFlags()[251];\\n }\",\n \"public boolean isSetGibbsq()\\r\\n {\\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return get_store().count_elements(GIBBSQ$2) != 0;\\r\\n }\\r\\n }\",\n \"public boolean isSetProductId() {\\n return EncodingUtils.testBit(__isset_bitfield, __PRODUCTID_ISSET_ID);\\n }\",\n \"public boolean hasB27() {\\n return ((bitField0_ & 0x04000000) == 0x04000000);\\n }\",\n \"public boolean hasPrice() {\\n return ((bitField0_ & 0x00000010) == 0x00000010);\\n }\",\n \"public boolean isSetCarlevelvalue() {\\n return __isset_bit_vector.get(__CARLEVELVALUE_ISSET_ID);\\n }\",\n \"public boolean hasVar55() {\\n return fieldSetFlags()[56];\\n }\",\n \"public boolean hasB() {\\n return ((bitField0_ & 0x00000001) == 0x00000001);\\n }\",\n \"public boolean hasVar56() {\\n return fieldSetFlags()[57];\\n }\",\n \"public boolean hasB() {\\n return ((bitField0_ & 0x00000001) == 0x00000001);\\n }\",\n \"public boolean hasVar57() {\\n return fieldSetFlags()[58];\\n }\",\n \"public boolean isSetTeamPrice() {\\n return EncodingUtils.testBit(__isset_bitfield, __TEAMPRICE_ISSET_ID);\\n }\",\n \"public boolean isSetAmount() {\\n return EncodingUtils.testBit(__isset_bitfield, __AMOUNT_ISSET_ID);\\n }\",\n \"public boolean isSetBuycardate() {\\n return this.buycardate != null;\\n }\",\n \"public boolean isSetDisplayprice() {\\n return __isset_bit_vector.get(__DISPLAYPRICE_ISSET_ID);\\n }\",\n \"public boolean hasB27() {\\n return ((bitField0_ & 0x04000000) == 0x04000000);\\n }\",\n \"boolean hasAdGroupBidModifier();\",\n \"public boolean isDBValid(){\\r\\n return noInduk != null && !noInduk.isEmpty();\\r\\n }\",\n \"public boolean hasVar196() {\\n return fieldSetFlags()[197];\\n }\",\n \"protected boolean isValidBathWaterVolumeSetting(byte[] edt) {\\n\\t\\tif(edt == null || !(edt.length == 1)) return false;\\n\\t\\treturn true;\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.78722316","0.750076","0.73483187","0.6617104","0.6610414","0.65604514","0.65537614","0.6416334","0.64134836","0.63965327","0.6391873","0.63734245","0.62484574","0.6066008","0.6049055","0.60407823","0.6024757","0.59736687","0.59261066","0.58858895","0.5838142","0.5797054","0.57520056","0.574437","0.57403827","0.5734283","0.57117254","0.57063293","0.56922853","0.5670516","0.5666829","0.56621003","0.5632798","0.56321377","0.56145597","0.5608561","0.5606735","0.56028956","0.5601031","0.55859685","0.5583501","0.5582913","0.5568332","0.556629","0.556367","0.5561839","0.5555428","0.55504036","0.5547768","0.554531","0.5544744","0.5539327","0.5523385","0.5511899","0.550887","0.54932606","0.5490453","0.5489826","0.54826283","0.5479906","0.547608","0.5471275","0.5465619","0.5465619","0.5465619","0.5465352","0.54653424","0.54516333","0.54507285","0.54499","0.54484093","0.54415256","0.54371375","0.5436496","0.5434046","0.5431345","0.54298455","0.5426064","0.5425188","0.54226595","0.54198533","0.54184854","0.54171723","0.5416702","0.54107314","0.54101264","0.54076594","0.54044753","0.540132","0.5399506","0.539793","0.539501","0.53918934","0.5390893","0.53868276","0.5386442","0.537794","0.5375805","0.5369107","0.53658795"],"string":"[\n \"0.78722316\",\n \"0.750076\",\n \"0.73483187\",\n \"0.6617104\",\n \"0.6610414\",\n \"0.65604514\",\n \"0.65537614\",\n \"0.6416334\",\n \"0.64134836\",\n \"0.63965327\",\n \"0.6391873\",\n \"0.63734245\",\n \"0.62484574\",\n \"0.6066008\",\n \"0.6049055\",\n \"0.60407823\",\n \"0.6024757\",\n \"0.59736687\",\n \"0.59261066\",\n \"0.58858895\",\n \"0.5838142\",\n \"0.5797054\",\n \"0.57520056\",\n \"0.574437\",\n \"0.57403827\",\n \"0.5734283\",\n \"0.57117254\",\n \"0.57063293\",\n \"0.56922853\",\n \"0.5670516\",\n \"0.5666829\",\n \"0.56621003\",\n \"0.5632798\",\n \"0.56321377\",\n \"0.56145597\",\n \"0.5608561\",\n \"0.5606735\",\n \"0.56028956\",\n \"0.5601031\",\n \"0.55859685\",\n \"0.5583501\",\n \"0.5582913\",\n \"0.5568332\",\n \"0.556629\",\n \"0.556367\",\n \"0.5561839\",\n \"0.5555428\",\n \"0.55504036\",\n \"0.5547768\",\n \"0.554531\",\n \"0.5544744\",\n \"0.5539327\",\n \"0.5523385\",\n \"0.5511899\",\n \"0.550887\",\n \"0.54932606\",\n \"0.5490453\",\n \"0.5489826\",\n \"0.54826283\",\n \"0.5479906\",\n \"0.547608\",\n \"0.5471275\",\n \"0.5465619\",\n \"0.5465619\",\n \"0.5465619\",\n \"0.5465352\",\n \"0.54653424\",\n \"0.54516333\",\n \"0.54507285\",\n \"0.54499\",\n \"0.54484093\",\n \"0.54415256\",\n \"0.54371375\",\n \"0.5436496\",\n \"0.5434046\",\n \"0.5431345\",\n \"0.54298455\",\n \"0.5426064\",\n \"0.5425188\",\n \"0.54226595\",\n \"0.54198533\",\n \"0.54184854\",\n \"0.54171723\",\n \"0.5416702\",\n \"0.54107314\",\n \"0.54101264\",\n \"0.54076594\",\n \"0.54044753\",\n \"0.540132\",\n \"0.5399506\",\n \"0.539793\",\n \"0.539501\",\n \"0.53918934\",\n \"0.5390893\",\n \"0.53868276\",\n \"0.5386442\",\n \"0.537794\",\n \"0.5375805\",\n \"0.5369107\",\n \"0.53658795\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.8464085"},"document_rank":{"kind":"string","value":"0"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":325,"numItemsPerPage":100,"numTotalItems":136513,"offset":32500,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6IjVHZDBvd0g5MTM2eDZjc1FvbE1zcktNWUZoRVFoUm5PVVVybEpjOUhaUEEifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sInJlcG9JZHMiOlsiNjc1Mzc3Mjk2YzBkMWNiNGEwNmY5MzlkIl0sImlhdCI6MTc5MDg3ODMzOCwianRpIjoiNzk4MmExMjEtYjcxMC00YWYyLTk4ZDMtZTM0YjUyOGE1MjBhIiwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1qYXZhLXYxIiwiZXhwIjoxNzkwODgxOTM4LCJpc3MiOiJodHRwczovL2h1Z2dpbmdmYWNlLmNvIn0.g_ZvLUPzq6287FgAs0IPn8oWKSNdVh5cOhY_DFBgDPpJqCktOvt13ujCS1nzlgLP3Qu-KwzylPukW2bViISQAA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":136513,"numBytesParquet":1558040430}]},"discussionsStats":{"closed":0,"open":1,"total":1},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 7 33.1k | document stringlengths 7 335k | metadata dict | negatives listlengths 3 101 | negative_scores listlengths 3 101 | document_score stringlengths 3 10 | document_rank stringclasses 102
values |
|---|---|---|---|---|---|---|
TODO Autogenerated method stub | @Override
public void draw(Graphics g) {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
your code goes here | public static void main (String[] args) throws java.lang.Exception
{
Scanner sc = new Scanner(System.in);
int t =sc.nextInt();
while(t!=0){
int n = sc.nextInt();
int sum = 3;
int ans = 0;
if(n==2){
System.out.println(1);
//break;
}
else{
for(in... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void crawl_data() {\n\t\t\r\n\t}",
"@Override\r\n\tpublic void runn() {\n\t\t\r\n\t}",
"public void themesa()\n {\n \n \n \n \n }",
"@Override\n\t\t\tpublic void run() {\n\t\t\t\t\n\t\t\t}",
"@Overr... | [
"0.57286084",
"0.5721873",
"0.5685595",
"0.5611692",
"0.5611692",
"0.5596448",
"0.5573983",
"0.555654",
"0.55509007",
"0.5543824",
"0.551758",
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"0.54819673",
"0.54768246",
"0.5474171",
"0.5460018",
"0.5460018",
"0.5429363",
"0.5428646",... | 0.0 | -1 |
This is the default constructor | public CrearCuenta(UsuarioVO usu) {
super();
logger.trace("Constructor CrearCuenta");
initialize();
this.setExtendedState(JFrame.MAXIMIZED_BOTH);
this.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
usuario = usu;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Constructor() {\r\n\t\t \r\n\t }",
"public Constructor(){\n\t\t\n\t}",
"defaultConstructor(){}",
"@SuppressWarnings(\"unused\")\n public NoConstructor() {\n // Empty\n }",
"public Orbiter() {\n }",
"public Pitonyak_09_02() {\r\n }",
"public PSRelation()\n {\n }",
"p... | [
"0.85315686",
"0.8274922",
"0.75848484",
"0.74773645",
"0.7456932",
"0.7447545",
"0.7443651",
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"0.73242426",
"0.7324195",
"0.73132765",
"0.73016304",
"0.7279156",
"0.7262864",
"0.72578... | 0.0 | -1 |
This method initializes this | private void initialize() {
this.setSize(530, 329);
this.setContentPane(getJContentPane());
this.setTitle("JFrame");
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override public void init()\n\t\t{\n\t\t}",
"public void initialize()\n {\n }",
"@Override\r\n\t\tpublic void init() {\n\t\t\t\r\n\t\t}",
"public void init() {\n \n }",
"@Override\n\t\tpublic void init() {\n\t\t}",
"protected void initialize() {\n \t\n }",
"@Override\r\n\tpub... | [
"0.8354825",
"0.8309513",
"0.8283604",
"0.8257773",
"0.8200911",
"0.8199891",
"0.8150085",
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"0.8104957",
"0.8103473",
"0.8103473",
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"0.8030163",
"0.8019929",
"0.7993678",
"0.7993678",
"0.7987857",
"0.798652",
"0... | 0.0 | -1 |
This method initializes jContentPane | private JPanel getJContentPane() {
if (jContentPane == null) {
jContentPane = new JPanel();
jContentPane.setLayout(new BorderLayout());
jContentPane.add(getPanelCrearCuenta(), BorderLayout.CENTER);
}
return jContentPane;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void initialize() {\n this.setSize(300, 200);\n this.setContentPane(getJContentPane());\n this.pack();\n }",
"private void initialize() {\n\t\tthis.setSize(329, 270);\n\t\tthis.setContentPane(getJContentPane());\n\t}",
"public void init()\n {\n buildUI(getContentPane());\n }",
... | [
"0.80564976",
"0.79863834",
"0.781657",
"0.780102",
"0.77667063",
"0.75706494",
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"0.7450439",
"0.74450225",
"0.74051523",
"0.73895437",
"0.7384667",
"0.73795295",
"0.7379... | 0.7026264 | 50 |
This method initializes PanelCrearCuenta | private JPanel getPanelCrearCuenta() {
if (PanelCrearCuenta == null) {
GridBagConstraints gridBagConstraints51 = new GridBagConstraints();
gridBagConstraints51.gridx = 1;
gridBagConstraints51.insets = new Insets(20, 0, 0, 0);
gridBagConstraints51.ipadx = 60;
gridBagConstraints51.ipady = 20;
g... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public PanelCompra() {\n initComponents();\n lblNick.setText(PanelCuenta.cuenta.getNickName());\n lblNombre.setText(PanelCuenta.cuenta.getUsuario().getNombre());\n lblDireccion.setText(PanelCuenta.cuenta.getUsuario().getDireccion());\n llenarTabla();\n }",
"public creacionem... | [
"0.8123539",
"0.7479528",
"0.7314282",
"0.7307762",
"0.72565013",
"0.7217226",
"0.7162295",
"0.70966214",
"0.7070857",
"0.70695686",
"0.70684636",
"0.70514745",
"0.7049925",
"0.7037955",
"0.7013972",
"0.7007965",
"0.7001244",
"0.69884664",
"0.69884664",
"0.6959466",
"0.695206... | 0.74758524 | 2 |
This method initializes jTextFieldNick | private JTextField getJTextFieldNick() {
if (jTextFieldNick == null) {
jTextFieldNick = new JTextField();
}
return jTextFieldNick;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private JTextField getJTextFieldNick() {\r\n\t\tif (jTextFieldNick == null) {\r\n\t\t\tjTextFieldNick = new JTextField();\r\n\t\t\tjTextFieldNick.addKeyListener(new KeyListener() {\r\n\t\t\t\tpublic void keyTyped(KeyEvent e) {\r\n\t\t\t\t\tif (jTextFieldNick.getText().length() == LIMITE) {\r\n\t\t\t\t\t\te.consume... | [
"0.7070939",
"0.69396144",
"0.65096754",
"0.63964885",
"0.6374724",
"0.62850565",
"0.6260265",
"0.62235636",
"0.61937994",
"0.6185768",
"0.618547",
"0.6170933",
"0.61550236",
"0.61374825",
"0.6134483",
"0.6133507",
"0.61235106",
"0.6072849",
"0.6046705",
"0.6037516",
"0.60336... | 0.70667684 | 1 |
This method initializes jTextFieldNombre | private JTextField getJTextFieldNombre() {
if (jTextFieldNombre == null) {
jTextFieldNombre = new JTextField();
}
return jTextFieldNombre;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public InstrutorCadastrarTela() {\n initComponents();\n //Limite de caracateres e apenas caracteres permitidos\n jTextFieldNome.setDocument(new classesBasicas.CaracterLimitePermitido(60));\n //Limitando os caracteres para (N), independende de ser numero ou letras\n jTextFieldRg.s... | [
"0.70037174",
"0.68846226",
"0.68280345",
"0.67621756",
"0.67239505",
"0.6708406",
"0.670133",
"0.6701326",
"0.66228205",
"0.6608763",
"0.65889066",
"0.6581982",
"0.6570472",
"0.65674794",
"0.655239",
"0.65427804",
"0.65354955",
"0.65214056",
"0.65191114",
"0.6516514",
"0.650... | 0.7436366 | 0 |
This method initializes jTextFieldApellido | private JTextField getJTextFieldApellido() {
if (jTextFieldApellido == null) {
jTextFieldApellido = new JTextField();
}
return jTextFieldApellido;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setTxtapellido(String txtapellido) {\n this.txtApellido.setText(txtapellido);\n }",
"public void setApellidos(String apellidos) { this.apellidos = apellidos; }",
"public void setApellidos(String p) { this.apellidos = p; }",
"public void setApellido(String apellido) {\n\t\tthis.apellido ... | [
"0.6350052",
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"0.58387434",
"0.57950526",
"0.5783702",
"0.5770909",
"0.57430... | 0.6997691 | 0 |
This method initializes jTextFieldPais | private JTextField getJTextFieldPais() {
if (jTextFieldPais == null) {
jTextFieldPais = new JTextField();
}
return jTextFieldPais;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void initText() {\n// urlText.setText(jPAConfig.getUrl());\n// userText.setText(jPAConfig.getUser());\n// dbNameText.setText(jPAConfig.getDbName());\n// portText.setText(jPAConfig.getPort());\n// passText.setText(jPAConfig.getPassword());\n }",
"public JpSetting() {\... | [
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"0.63057035",
"0.63025194",
"0.62967515",
"0.62837267",
"0.626... | 0.70745444 | 0 |
This method initializes jPasswordFieldPWD | private JPasswordField getJPasswordFieldPWD() {
if (jPasswordFieldPWD == null) {
jPasswordFieldPWD = new JPasswordField();
}
return jPasswordFieldPWD;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private JPasswordField getJTextFieldPasswd() {\r\n\t\tif (jTextFieldPasswd == null) {\r\n\t\t\tjTextFieldPasswd = new JPasswordField();\r\n\t\t\tjTextFieldPasswd.setBounds(new Rectangle(90, 82, 91, 23));\r\n\t\t}\r\n\t\treturn jTextFieldPasswd;\r\n\t}",
"public void setPasswordField(final JPasswordField pwPasswo... | [
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"0.64212006",
"0.6415021",
"0.64049697",
"0.6389218",
"0.6377308"... | 0.79778945 | 0 |
This method initializes jPasswordFieldConfirmacion | private JPasswordField getJPasswordFieldConfirmacion() {
if (jPasswordFieldConfirmacion == null) {
jPasswordFieldConfirmacion = new JPasswordField();
}
return jPasswordFieldConfirmacion;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public ChangePassword() {\n initComponents();\n SQLConnect sqlcon = new SQLConnect();\n con=sqlcon.sqlCon(con);\n jPasswordField2.setEnabled(false);\n jPasswordField3.setEnabled(false);\n }",
"public passwordForm() {\n initComponents();\n }",
"public ChangePasswo... | [
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"0.6302961",
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"0.6224372",
"0.6224308",
"0.6196... | 0.7823086 | 0 |
This method initializes jButtonCrear | private JButton getJButtonCrear() {
if (jButtonCrear == null) {
jButtonCrear = new JButton();
jButtonCrear.setText(BOTONCREAR);
jButtonCrear.addActionListener(new java.awt.event.ActionListener() {
public void actionPerformed(java.awt.event.ActionEvent e) {
crearCuenta();
}
});
}
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void initialize() {\r\n\r\n\t\tfrmHistoriasDeZagas = new JFrame();\r\n\t\tfrmHistoriasDeZagas.getContentPane().setBackground(Color.BLACK);\r\n\t\tfrmHistoriasDeZagas.setTitle(\"Historias de Zagas\");\r\n\t\tfrmHistoriasDeZagas.setBackground(Color.WHITE);\r\n\t\tfrmHistoriasDeZagas\r\n\t\t\t\t.setIconImage(... | [
"0.7376827",
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"0.6824551",
"0.6822235",
"0.68205905",
"0.6814771",
"0.6758793",
"0.6739172"... | 0.70849854 | 2 |
This method initializes jButtonSalir | private JButton getJButtonSalir() {
if (jButtonSalir == null) {
jButtonSalir = new JButton();
jButtonSalir.setText(BOTONSALIR);
jButtonSalir.addActionListener(new java.awt.event.ActionListener() {
public void actionPerformed(java.awt.event.ActionEvent e) {
volver();
}
});
}
retu... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents() {\n\n jButtonImportarProductosVenta = new javax.swing.JButton();\n jButtonAdministrarPac = new javax.swing.JButton();\n jButton... | [
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"0.6605096... | 0.66637206 | 11 |
This method initializes jButtonCrearCuentaAdmin | private JButton getJButtonCrearCuentaAdmin() {
if (jButtonCrearCuentaAdmin == null) {
jButtonCrearCuentaAdmin = new JButton();
jButtonCrearCuentaAdmin.setText(BOTONCREARADMIN);
jButtonCrearCuentaAdmin
.addActionListener(new java.awt.event.ActionListener() {
public void actionPerformed(java.a... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Frame_Ajouter_Administrateur() {\n initComponents();\n }",
"public adminUsuarios() {\n initComponents();\n showUsuarios();\n }",
"public VentanaAdministradorVista() {\n initComponents();\n }",
"public JFrmPagoCuotaAnulacion() {\n setTitle(\"JFrmPagoCuotaAnul... | [
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"0.663343... | 0.7338003 | 0 |
METODO QUE RECIBE UN ARRAY DE CHAR Y DEVUELVE UN STRING | public static String deCharArrayAString(char[] array) {
String aux = "";
for (int i = 0; i < array.length; i++) {
aux = aux + array[i];
}
return aux;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean canUseCharArrays()\n/* */ {\n/* 405 */ return true;\n/* */ }",
"public String getString_data() { \n char carr[] = new char[Math.min(net.tinyos.message.Message.MAX_CONVERTED_STRING_LENGTH,60)];\n int i;\n for (i = 0; i < carr.length; i++) {\n i... | [
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"0.52628887",
"0.52566767... | 0.5842238 | 3 |
the number of line segments | public int numberOfSegments() {
return count;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int numberOfSegments() {\n return lineSegs.length;\n }",
"public int numberOfSegments() {\n return lineSegments.size();\n }",
"public int numberOfSegments() {\n return lineSegments.size();\n }",
"public int numberOfSegments() {\n return lineSegments.length;\n }"... | [
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"0.713085"... | 0.7288137 | 15 |
An FSM is used to represent an instance of a finite state machine which has a transition function represented by an instance of StateEngine. An instance of an FSM may be created either by calling StateEngine.makeFSM( startState ) on a state engine, or by extending FSMImpl and using a constructor. Using FSMImpl as a bas... | public interface FSM
{
/**
* Get the current state of this FSM.
*/
public State getState();
/**
* Perform the action and transition to the next state based on the current state of the FSM and the input.
*/
public void doIt(Input in);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public FSM() {\r\n \t\tstates = new HashMap<String, State>();\r\n \t\ttransitions = new LinkedHashMap<String, Transition>();\r\n \t}",
"public interface FSMListener extends FSMInteractor\n{\n\tpublic void update();\n}",
"public interface IFsm<T>\n extends IEventProcessor<IFsm>, IStateEnterListener, ISta... | [
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"0.5238505... | 0.75409734 | 0 |
Get the current state of this FSM. | public State getState(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public State getCurrentState() {\n \t\treturn currentState;\n \t}",
"public State getCurrentState() {\n return currentState;\n }",
"public State getCurrentState() {\n\t\treturn currentState;\n\t}",
"public State getCurrentState() {\n\t\treturn currentState;\n\t}",
"public S getState() {\n ... | [
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"0.79251695",
"0.79251695",
"0.7... | 0.82300824 | 8 |
Perform the action and transition to the next state based on the current state of the FSM and the input. | public void doIt(Input in); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void advance(){\n\t\tswitch(state){\n\t\t\n\t\tcase LOGINID: \n\t\t\tif(currentInput.length() > 0){ //not empty \n\t\t\t\tif(Bank.accountExists(Integer.parseInt(currentInput))){ //shouldn't need to check if int since input can only be int\n\t\t\t\t\taccountID = Integer.parseInt(currentInput);\n\t\t\t\t\tlog... | [
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"0.5999277",
"0.5988946",
"0.59603846",
"0.5941859",
"0.5903... | 0.0 | -1 |
/ Determines if this family member has the name passed in arguments | public boolean is(String fName, String lName)
{
return firstName.equals(fName) && lastName.equals(lName);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boolean hasName();",
"boo... | [
"0.72688794",
"0.72688794",
"0.72688794",
"0.72688794",
"0.72688794",
"0.72688794",
"0.72688794",
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"0.72688794",
"0.72688794",
"0.72688794",
"0.72688794",
"0.72688794",
"0.72688794"... | 0.5614167 | 92 |
TODO Autogenerated method stub | @Override
public int hashCode() {
return 0;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
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"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
TODO Autogenerated method stub | @Override
public boolean equals(Object arg0) {
return false;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
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"0.61285484",
"0.608016... | 0.0 | -1 |
Create the ItemStack and get the ItemMeta | public static ItemStack JudgeBook() {
ItemStack JudgeBook = new ItemStack(Material.BOOK_AND_QUILL);
ItemMeta JudgeBookMeta = JudgeBook.getItemMeta();
//Set Lore/Name/Anything Else here
JudgeBookMeta.setDisplayName("Judge Book");
//Append the Meta to the Item
JudgeBook.setItemMeta(JudgeBookMeta);
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public ItemStack generateItem(){\n\t\tItemStack item = new ItemStack(material);\n\t\tif(damage >= 0) item.setDurability(damage);\n\t\t\n\t\tif(itemName.isEmpty() && loreLine.isEmpty()) return item;\n\t\t\n\t\tItemMeta meta = item.getItemMeta();\n\t\tif(meta == null) return item;\n\t\t\n\t\tmeta.setDisplayName(item... | [
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"0.60419154",
"0.60300034",
"0.6027376",
"0.6009047",
"0.5958",
"... | 0.5636389 | 42 |
Inflate the menu; this adds items to the action bar if it is present. | @Override
public boolean onCreateOptionsMenu(Menu menu) {
getMenuInflater().inflate(R.menu.menu_main, menu);
return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n \tMenuInflater inflater = getMenuInflater();\n \tinflater.inflate(R.menu.main_activity_actions, menu);\n \treturn super.onCreateOptionsMenu(menu);\n }",
"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {... | [
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"0.6891486",
"0.68831646",
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"0.68745375",
"0.68621665",
"0.6862... | 0.0 | -1 |
Handle action bar item clicks here. The action bar will automatically handle clicks on the Home/Up button, so long as you specify a parent activity in AndroidManifest.xml. | @Override
public boolean onOptionsItemSelected(MenuItem item) {
int id = item.getItemId();
//noinspection SimplifiableIfStatement
if (id == R.id.action_settings) {
return true;
}
if (id == R.id.action_load_json) {
new JsonParser(TwitchEmotesGlobal.JSO... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public boolean onOptionsItemSelected(MenuItem item) { Handle action bar item clicks here. The action bar will\n // automatically handle clicks on the Home/Up button, so long\n // as you specify a parent activity in AndroidManifest.xml.\n\n //\n // HANDLE BACK BUTTON\n ... | [
"0.7905683",
"0.7805918",
"0.7766949",
"0.77280927",
"0.76328415",
"0.76229936",
"0.7585238",
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"0.7387223",
"0.73796284",
"0.73707056",
"0.7362735",
"0.7356231",
"0.73459... | 0.0 | -1 |
When a block is successfully run, perform actions based on the block | private static void onSuccess(@Nullable final Entity entity, @NotNull final ServerWorld world, @NotNull final Hand hand, @NotNull final BlockPos blockPos, @Nullable final Direction blockFace) {
// Log the block being broken
BlockBreakCallback.logBlockBreak(entity, world, blockPos);
// T... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String buildingBlockAction() throws Exception {\n\t\t\t\t\n\t return \"success\";\n\t }",
"public void ifSuccessful(Consumer<T> consumer) {\n if (isSuccessful()) {\n consumer.accept(result);\n }\n }",
"void notifyBlockComplete(MessageSnapshot snapshot);",
"public void... | [
"0.5913131",
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"0.5714023",
"0.56781256",
"0.561338",
"0.5597977",
"0.5504066",
"0.549334",
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"0.54719204",
"0.545432",
"0.545432",
"0.5375244",
"0.5367316",
"0.5358596",
"0.5337242",
"0.53293014",
"0.529648",
"0.5295939",
"0... | 0.4997596 | 52 |
When a block break is failed, perform actions based on the block | private static void onFailure(@Nullable final Entity entity, @NotNull final ServerWorld world, @NotNull final Hand hand, @NotNull final BlockPos blockPos, @Nullable final Direction blockFace) {
BlockState blockState = world.getBlockState(blockPos);
if (entity instanceof ServerPlayerEntity player) {
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@EventHandler(priority = EventPriority.HIGH)\n public void onAttemptBreakLockedBlocks(BlockBreakEvent event) {\n if (event.isCancelled()) return;\n Block block = event.getBlock();\n Player player = event.getPlayer();\n if (LocketteProAPI.isLocked(block) || LocketteProAPI.isUpDownLock... | [
"0.6464559",
"0.6425608",
"0.63248426",
"0.6316747",
"0.62659276",
"0.6116204",
"0.6072082",
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"0.60147583",
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"0.57794094",
"0.57284564",
"0.5711177",
"0.5640237",
"0.560388",
"0.55946225... | 0.0 | -1 |
Log the event of our block being broken into SQL | private static void logBlockBreak(@Nullable final Entity entity, @NotNull final ServerWorld world, @NotNull final BlockPos blockPos) {
EventLogger.log(new BlockEvent(entity, EventLogger.BlockAction.BREAK, world.getBlockState(blockPos).getBlock(), blockPos));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void logSQL(BindedCompiledSQL bsql, String sqlStatment, long nanoTime) ;",
"public void logSQL(BindedCompiledSQL bsql, long nanoTime) ;",
"private void traceSqlRequest(String sql) {\n\t\tDatabaseInfo databaseInfo = oneAgentSdk.createDatabaseInfo(\"myCoolDatabase\", \"UnsupportedDatabaseVendor\", Channel... | [
"0.6381075",
"0.62213266",
"0.6020266",
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"0.52620846",
"0.52387625",
"0.5237369",
"0.5229968",
"0.5203499",
"0.520... | 0.5877191 | 4 |
String status = TeacherStatus.TRANSFERRED; | public Table absentAndOnPaysheet() {
Table table = new Table("TEACHERS WHO LEFT THE SCHOOL BUT STILL APPEARING ON PAYSHEET");
table.addContainerProperty("NUMBER", Integer.class, null);
table.addContainerProperty("NAMES OF TEACHERS", String.class, null);
table.addContainerProperty("EC NUMBER", String.class, nul... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"String getStatus();",
"String getStatus();",
"String getStatus();",
"String getStatus();",
"String getStatus();",
"public String getStatus(){\n\n //returns the value of the status field\n return this.status;\n }",
"java.lang.String getStatus();",
"java.lang.String getStatus();",
"java.lang.S... | [
"0.6590149",
"0.6590149",
"0.6590149",
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"0.6590149",
"0.6570796",
"0.65627265",
"0.65627265",
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"0.6327259",
"0.6327259",
"0.6327259",
"0.6327259",
"0.6327259",
"0.6327259",
"0.6327259",... | 0.0 | -1 |
This method allows you to modify the fitness of the individuals of a population. Note that by altering the fitness you may require your problem to store the unaltered fitness somewhere else so that you may still fetch it! | public void modifyFitness(Population population) {
// prepare the calculation
double[][] data = new double[population.size()][];
for (int i = 0; i < data.length; i++) {
data[i] = ((AbstractEAIndividual)population.get(i)).getFitness();
}
double min = Double.POSIT... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void setFitness(double fitness) throws UnsupportedOperationException;",
"public void setFitness(int newFitness) {\n fitness = newFitness;\n }",
"public void setFitness(float fitness)\r\n\t{\r\n\t\tthis.fitness = fitness;\r\n\t}",
"public void incrementFitness()\n {\n this.fitness++;\n }",
"p... | [
"0.7298065",
"0.727451",
"0.70366466",
"0.68611133",
"0.6767811",
"0.67267644",
"0.6718439",
"0.66528994",
"0.6565641",
"0.65583897",
"0.6416103",
"0.6347555",
"0.6265857",
"0.6246493",
"0.62270004",
"0.622613",
"0.62205803",
"0.62117493",
"0.619019",
"0.6162475",
"0.6156618"... | 0.7812398 | 0 |
These are for GUI This method returns a global info string | public static String globalInfo() {
return "This is a normation method based on Fitness Sharing. It adds a penalty for too similar individuals on the standard Normation method.";
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public abstract String globalInfo();",
"public static String globalInfo() {\n return \"This is a GA individual suited to optimize binary values.\";\n }",
"public String getInfoString();",
"public String globalInfo() {\n\n return \"Nearest-neighbor-like algorithm using non-nested generalized exem... | [
"0.8131042",
"0.76046985",
"0.7416671",
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"0.73143244",
"0.71231765",
"0.70986485",
"0.7061005",
"0.70585036",
"0.7009775",
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"0.6889701",
"0.67905986",
"0.6790118",
"0.6788748",
"0.6757383",
"0.6757383",
"0.6649274",
"0.66247",
"0.6620241",
"0.6599912"... | 0.7044172 | 9 |
These methods allows you to set/get the Sharing Distance | public void setSharingDistance(double SharingDistance) {
this.m_SharingDistance = SharingDistance;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setDistance(float dist);",
"public double getDistance () {\n return distance;\n }",
"public double getDistance(){\n\t\treturn this.distance;\n\t}",
"public Distance getDistance() {\n return distance;\n }",
"public float getDistance() {\r\n return distance;\r\n }",
"pub... | [
"0.6235652",
"0.60279304",
"0.58761823",
"0.5871794",
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"0.58582544",
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"0.5829316",
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"0.575682",
"0.57212996",
"0.57212996",
"0.5716297",
"0.56973755",
"0.56973755",
"0.567493... | 0.7800261 | 0 |
These methods allows you to set/get the type of Distance Metric. | public void setMetric(InterfaceDistanceMetric Metric) {
this.m_Metric = Metric;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public void setDistance(double distance, int revolutions, int measurementsType) {\n distanceText.setText(String.format(\"%.1f\", distance));\n if (measurementsType == ThunderBoardPreferences.UNIT_METRIC) {\n distanceUnitsText.setText(getString(R.string.motion_meters));\n ... | [
"0.6494629",
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"0.56122506",
"0.56010664",
"0.55639374",
"0.55334157",
"0.5522959",
"0.551663... | 0.5756603 | 10 |
Creates new form KullaniciSil | public KullaniciSil() {
initComponents();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public FormInserir() {\n initComponents();\n }",
"public form_utama_kasir() {\n initComponents(); \n koneksi DB = new koneksi(); \n con = DB.getConnection();\n aturtext();\n tampilkan();\n nofakturbaru();\n loadData();\n panelEd... | [
"0.66556644",
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"0.6339583",
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"0.6212237",
"0.6208836",
"0.61931103",
"0.61828715",
"0.6165475",
"0.6159056",
"0.6133856... | 0.60768175 | 26 |
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. | @SuppressWarnings("unchecked")
// <editor-fold defaultstate="collapsed" desc="Generated Code">//GEN-BEGIN:initComponents
private void initComponents() {
jLabel1 = new javax.swing.JLabel();
jLabel2 = new javax.swing.JLabel();
jLabel3 = new javax.swing.JLabel();
kullaniciSilAdText... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Form() {\n initComponents();\n }",
"public MainForm() {\n initComponents();\n }",
"public MainForm() {\n initComponents();\n }",
"public MainForm() {\n initComponents();\n }",
"public frmRectangulo() {\n initComponents();\n }",
"public form() {\n ... | [
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"0.7290383",
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"0.72480965",
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"0.72080517",
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"0.70577854",
"0.6987355",
"0.69769996",
"0.69551086",
"0.69545007",
"0.6945... | 0.0 | -1 |
TODO Autogenerated method stub | @Override
public String toString() {
return super.toString();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
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"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
The FTP filing manager. Creates a new instance of FTPFilingTest3 | public RemoteFilingTest() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public ClientFTP() {\n }",
"public FtpServer(IFtpConfig ftpConfig) {\n m_ftpConfig = ftpConfig;\n m_log = m_ftpConfig.getLogFactory().getInstance(getClass());\n }",
"public FileManager() {\n\t\t\n\t}",
"private FileManager() {}",
"protected FileItemFactory getFileItemFactory() {\r\n ... | [
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"0.51670635",
"0.5104949",
"0.51024884",
"0.51004714",
"0.5089536",... | 0.62223816 | 0 |
Get entities matching the aspect | public Set<Integer> getEntities(Aspect.Builder aspect) {
throw new UnsupportedOperationException();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"List<IViewEntity> getEntities();",
"public Set<IAspect> getAspects();",
"@OnlyIn(Dist.CLIENT)\n public Collection<ResourceLocation> getAspectModels();",
"@NotNull\r\n Entity[] getEntities();",
"boolean getContainEntities();",
"public List findByExample(E entityClass) ;",
"@Override\n protected E... | [
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"0.53718567",
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"0.5361026",
"0.53385675",
"0.53235406",
"0.5... | 0.67990893 | 0 |
This returns the next target,calculated by the systematic aiming, with enemyShip knowledge gathered | @Override
public OurShot getNextTarget(OurShots ourShots, OurShot ourShotCurrent, EnemyShips enemyShips) {
OurShot newOurShot = null;
if (ourShots.containsShotPosition(ourShotCurrent.getNorthPosition()) || ourShotCurrent.getNorthPosition().equals(null)) {
newOurShot = n... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public EntityID nextTarget(Set<StandardEntity> victims) {\n\n// Clustering clustering = this.moduleManager.getModule(SampleModuleKey.AMBULANCE_MODULE_CLUSTERING);\n\n// if (this.clusterIndex == -1) {\n this.clusterIndex = clustering.getClusterIndex(this.agentInfo.getID());\n// }\n\n\n ... | [
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"0.5859924",
"0.58571696",
"0.5829653",
"0.58130777",
... | 0.67024773 | 3 |
First, load the default values (from app resources) | private Properties loadConfig(String baseFileName, String userPathParamName) throws IOException {
String fileName = baseFileName + ".properties";
Properties properties = new Properties();
try (InputStream configStream = ApiInitializer.class.getClassLoader().getResourceAsStream(fileName)) {
if (configStream != ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void loadDefaultValues() {\r\n\t}",
"public void initDefaultValues() {\n }",
"private void loadDefaultValues() {\n for (Map.Entry<EditText, Integer> e : mPrefKeys.entrySet()) {\n e.getKey().setText(Pref.getDefault(this, e.getValue()));\n }\n }",
"private void loadDefault... | [
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"0.6204985",
"0.61874926",
"0.6179029",
"0.6153651",
"0.615... | 0.0 | -1 |
Method for updating the personal info about the employee | @Override
public void update(String name, String surname) {
this.name = name;
this.surname = surname;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void updateEmployee(Employe employee) {\n\t\t\n\t}",
"@Override\n\tpublic void updateEmployee() {\n\n\t}",
"public void update(Employee e) {\n\t\t\r\n\t}",
"@Override\n\tpublic void updateEmployee(Employee e) {\n\t\t\n\t}",
"public void updateEmployeeDetails(EmployeeDetails employeeDetails);",
"@O... | [
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"0.69093394",
"0.6905473",
"0.68724483",
"0.6823205",
"0.68177134",
"0.679... | 0.0 | -1 |
Method for updating the balance of the employee | @Override
public void updateBalance(Integer amount) throws EmployeeException {
if (this.balance.longValue() + amount.longValue() < Integer.MIN_VALUE
|| this.balance.longValue() + amount.longValue() > Integer.MAX_VALUE) {
throw new EmployeeException();
}
this.balan... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void updateBalance(int amount){ \n\t\tbalance = amount;\n\t}",
"@Override\n\tpublic void calculateAndUpdateBalance() {\n\n\t\tbalance -= fee;\n\n\t}",
"private void updateDatabaseAccountBalance() {\n\t\tString sql = \"UPDATE account SET balance = \" + this.balance + \" \";\n\t\tsql += \"WHERE accountID = '\" +... | [
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"0.640242",
"0.63... | 0.7277776 | 0 |
Note: This constructor is for internal use only. Clients should not call this constructor. | public ChangeTypeAction(JavaEditor editor) {
this(editor.getEditorSite());
fEditor = editor;
setEnabled(SelectionConverter.getInputAsCompilationUnit(fEditor) != null);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Constructor() {\r\n\t\t \r\n\t }",
"@Override\n protected void initialize() {\n }",
"@Override\n protected void initialize() {\n }",
"@Override\n protected void initialize() {\n }",
"@Override\n protected void initialize() {\n }",
"@Override\n protected void initialize() {\n }",
"@Override\n ... | [
"0.7126767",
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"0.6457544",
"0.64557505",
"0.64546... | 0.0 | -1 |
Creates a new ChangeTypeAction. The action requires that the selection provided by the site's selection provider is of type org.eclipse.jface.viewers.IStructuredSelection. | public ChangeTypeAction(IWorkbenchSite site) {
super(site);
setText(RefactoringMessages.ChangeTypeAction_label);
setToolTipText(RefactoringMessages.ChangeTypeAction_tooltipText);
setDescription(RefactoringMessages.ChangeTypeAction_description);
PlatformUI.getWorkbench().getHelpS... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public ChangeTypeAction(JavaEditor editor) {\n this(editor.getEditorSite());\n fEditor = editor;\n setEnabled(SelectionConverter.getInputAsCompilationUnit(fEditor) != null);\n }",
"ActionType createActionType();",
"public JPopupMenu buildContextMenu(EditPart select) {\n\t\tJPopupMenu m... | [
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"0.4947384",
"0.48954135",
"0.487730... | 0.68921405 | 0 |
Note: This method is for internal use only. Clients should not call this method. | @Override
public void selectionChanged(JavaTextSelection selection) {
try {
setEnabled(RefactoringAvailabilityTester.isGeneralizeTypeAvailable(selection));
} catch (JavaModelException e) {
setEnabled(false);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public void perish() {\n \n }",
"@Override\n\tprotected void interr() {\n\t}",
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n protected void initialize() {\n }",
"@Override\n protected void initialize() {\n }",
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render all the routes to a folder in the file system ngoy.renderSite(java.nio.file.Paths.get("site")); recreate while developing to have changes pickedup createApp(); | @GetMapping()
public void home(HttpServletResponse response) throws Exception {
ngoy.render(response.getOutputStream());
} | {
"objective": {
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"paired": [],
"triplet": [
[
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]
}
} | [
"public static void main(String[] args) { //type “psvm + tab” to autocreate this\n // directing the server to immediate files it should access. Just like index\n staticFileLocation(\"/public\");\n\n\n // routes as per their handlebars templates. Make sure to read and understand what they do\n ... | [
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... | 0.49695688 | 24 |
Constructor of the class | public TCPServer(ServerBoard serverBoard,
OnMessageReceived messageListener,
DiffieHellmanModule diffieHellmanModule) {
this.messageListener = messageListener;
this.diffieHellmanModule = diffieHellmanModule;
this.serverBoard = serverBoard;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
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]
]
}
} | [
"Constructor() {\r\n\t\t \r\n\t }",
"public Constructor(){\n\t\t\n\t}",
"private Instantiation(){}",
"public CyanSus() {\n\n }",
"public PSRelation()\n {\n }",
"public _355() {\n\n }",
"public Pitonyak_09_02() {\r\n }",
"public Chick() {\n\t}",
"public CSSTidier() {\n\t}",
"public Chauf... | [
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Method to send the messages from server to client | public void sendMessage(String message) {
if (mOut != null && !mOut.checkError()) {
// If encryption connection has been made
if (diffieHellmanModule.isConnected()) {
message = diffieHellmanModule.encryptString(message);
}
mOut.println(message);
mOut.flush();
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
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]
]
}
} | [
"public void sendMsgToClient() {\n\n try {\n\n writer = new PrintWriter(new BufferedWriter(new OutputStreamWriter(socket.getOutputStream())), true);\n\n Log.d(TAG, \"The transmitted data:\" + msg);\n\n writer.println(msg);\n\n } catch (Exception e) ... | [
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Declare the interface. The method messageReceived(String message) will must be implemented in the ServerBoard class at on startServer button click | public interface OnMessageReceived {
public void messageReceived(String message);
} | {
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}
} | [
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"public interface OnMessageReceived {\n public void messageReceived(String message);\n }",
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/ Widening Casting (automatically) converting a smaller type to a larger type size byte > short > char > int > long > float > double Narrowing Casting (manually) converting a larger type to a smaller size type double > float > long > int > char > short > byte | public static void main(String[] args) {
// Java is not a pure OOP language >> because we have primitive types in Java
int num = 10;
double num1 = 20;
// if we know the number we want to convert takes enough space from the memory,
// then we can do explicit casting.
num = (int) num1;
// this is an impl... | {
"objective": {
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[
"query",
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]
}
} | [
"public static void main(String[] args) {\n int a=10;\n byte b=(byte)a; //explicit casting\n System.out.println(b);\n\n double DecimalNumber=10.5;\n float FloatNumber=(float) DecimalNumber;\n System.out.println(FloatNumber);\n\n double DecimalNumber2=10.5;\n f... | [
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Interface defining calls to the owner DAO. | public interface OwnerDao {
/**
* Add a new Owner.
*
* @param ownerModel Model containing the details of the new owner
* @return Owner ID
* @throws Exception Exception to throw
*/
int addNewOwner(OwnerModel ownerModel) throws Exception;
/**
* Retrieve o... | {
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}
} | [
"public abstract DbDAO AccessToDAO();",
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"D getDao();",
"protected abstract Dao getDaoIntance(Context context);",
"public abstract AccountDAO getAccountDAO();",
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Add a new Owner. | int addNewOwner(OwnerModel ownerModel) throws Exception; | {
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"triplet": [
[
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}
} | [
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"@Override\n public boolean addOwner(Resident owner) {\n if (!owner.getTowns().contains(town))\n return false;\n\n return owners.add(owner);\n }",
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Retrieve owner by ID. | OwnerModel getOwnerByID(int ownerID) throws Exception; | {
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"paired": [],
"triplet": [
[
"query",
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]
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}
} | [
"public Owner getOwnerInformation(int id){\n\t\tOwner owner = entityManager.find(Owner.class, id); //find Owner by primary key(int id)\n\t\treturn owner;\n\t}",
"@Override\n\tpublic Owner findById(Long id) {\n\t\treturn ownerRepository.findById(id).orElse(null);\n\t}",
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private SharedPreferences mSharedPreferences = this.getSharedPreferences(SHARED_PREFS_KEY, MODE_PRIVATE); | @Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_feeding_dashboard);
Toolbar toolbar = (Toolbar) findViewById(R.id.toolbar);
setSupportActionBar(toolbar);
mListener = this;
mContext = ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
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"negatives"
]
]
}
} | [
"protected void makePref(){\n //Creates a shared pref called MyPref and 0-> MODE_PRIVATE\n sharedPref = getSharedPreferences(AppCSTR.PREF_NAME, Context.MODE_PRIVATE);\n //so the pref can be edit\n edit = sharedPref.edit();\n}",
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Might have to do these on a different thread. Monitor frames skipped | public void onGitheriSelect() {
Food githeri = FoodRatios.getGitheriRatios(mTotalAttendance);
Intent intent = new Intent(this, GitheriProgramActivity.class);
intent.putExtra("GitheriMeal", Parcels.wrap(githeri));
intent.putExtra("attendancenum", mTotalAttendance);
startActivity(i... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@androidx.annotation.Nullable\r\n public synchronized android.graphics.Bitmap getNextFrame() {\r\n /*\r\n r7 = this;\r\n monitor-enter(r7);\r\n r0 = r7.header;\t Catch:{ all -> 0x00ea }\r\n r0 = r0.frameCount;\t Catch:{ all -> 0x00ea }\r\n r1 = 3;\r\n r2 = 1;\r\n... | [
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Creates a StunAddressDiscoverer. In order to use it one must start the discoverer. | public SimpleAddressDetector(StunAddress serverAddress) {
this.serverAddress = serverAddress;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
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"negatives"
]
]
}
} | [
"Adresse createAdresse();",
"public SONETRouter(String address){\n\t\tsuper(address);\n\t}",
"public void start()\n throws IOException, StunException\n {\n localSocket = new IceUdpSocketWrapper(\n new SafeCloseDatagramSocket(serverAddress));\n\n stunStack.addSocket(localSocket... | [
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Shuts down the underlying stack and prepares the object for garbage collection. | public void shutDown() {
StunStack.shutDown();
stunStack = null;
stunProvider = null;
requestSender = null;
this.started = false;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
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]
}
} | [
"public void destroy() {\n destroyIn(0);\n }",
"public static void shutdown()\n\t{\n\t\tinstance = null;\n\t}",
"public static void cleanUp() {\n\t\tHashDecay.stopAll();\n\t\tSystem.gc();\n\t}",
"public final void cleanUp() {\n\t\tmgdmfunctions = null;\n\t\tmgdmlabels = null;\n\t\theap.finalize();\n... | [
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... | 0.67405564 | 0 |
Puts the discoverer into an operational state. | public void start() throws StunException {
stunStack = StunStack.getInstance();
stunStack.start();
stunProvider = stunStack.getProvider();
started = true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
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"negatives"
]
]
}
} | [
"@Override\n public void onDiscoveryComplete() {\n BusProvider.getInstance().post(new DiscoveryCompleteEvent());\n }",
"public void deviceDiscovered(IDiscoverer _discoverer, IDevice _device);",
"private void startDiscovery() {\n\t\tbtAdapter.cancelDiscovery();\n\t\tbtAdapter.startDiscovery();\n\t}"... | [
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Creates a listening point from the following address and attempts to discover how it is mapped so that using inside the application is possible. | public StunAddress getMappingFor(StunAddress address)
throws StunException {
NetAccessPointDescriptor apDesc = new NetAccessPointDescriptor(address);
stunStack.installNetAccessPoint(apDesc);
requestSender = new BlockingRequestSender(stunProvider, apDesc);
StunMessageEvent e... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
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]
]
}
} | [
"public abstract InetSocketAddress listeningAddress();",
"@Override\n protected void doBind(SocketAddress localAddress) throws Exception {}",
"protected void doBind(SocketAddress localAddress) throws Exception {}",
"EndPoint createEndPoint();",
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... | 0.51801753 | 38 |
Creates a listening point for the specified socket and attempts to discover how its local address is NAT mapped. | public StunAddress getMappingFor(DatagramSocket socket)
throws StunException {
NetAccessPointDescriptor apDesc = stunStack.installNetAccessPoint(socket);
requestSender = new BlockingRequestSender(stunProvider, apDesc);
StunMessageEvent evt = null;
try {
evt = req... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
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"negatives"
]
]
}
} | [
"public abstract InetSocketAddress listeningAddress();",
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"0.5557098... | 0.49944055 | 72 |
Creates a listening point from the specified port and attempts to discover how it is being mapped. | public StunAddress getMappingFor(int port)
throws StunException {
return getMappingFor(new StunAddress(port));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void startListen() {\n try {\n listeningSocket = new ServerSocket(listeningPort);\n } catch (IOException e) {\n throw new RuntimeException(\"Cannot open listeningPort \" + listeningPort, e);\n }\n }",
"public void start(int port);",
"private static ServerSo... | [
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"0.58324... | 0.59536827 | 16 |
Metodo que carrega o layout e inicializa seus componentes. | @Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.cadastro_cliente_end);
etRua = (EditText) findViewById(R.id.et_Rua_cc);
etNumero = (EditText) findViewById(R.id.et_Numero_cc);
etBairro = (EditText) fin... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected abstract void iniciarLayout();",
"public Layout() {\n super(\"Chitrashala\");\n initComponents();\n }",
"private void initComponents()\n {\n //LAYOUT\n initLayoutComponents();\n \n //TRANSITION COMPONENTS\n initTransitionComponents();\n \n... | [
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Metodo que gerencia o click nos botoes da tela. | @Override
public void onClick(View v) {
if (v==bt_salvar){
bt_salvar.setEnabled(false);
rua = etRua.getText().toString();
numero = etNumero.getText().toString();
bairro = etBairro.getText().toString();
cep = etCep.getText().toString();
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static void clickOnAmazon(By locator){\n\t\twebAction(locator).click();\n\t}",
"@Override\n\t\t\tpublic void mouseClicked(MouseEvent e) {\n\t\t\t\tSystem.out.println(\"vai ficar clikando ai a toa? PATETA\");\n\t\t\t\t\n\t\t\t}",
"@Override\n public void mouseClicked(MouseEvent e){\n ... | [
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"0.59749645",
"0.5944367",
"0.5898525",
"0.588426",
"0.5877231",
"0.5877231",
"0.5877231",
"0.5877231",
"0.5877231",
"0.5877231",
"0.5877231",
"0.5877231",
"0.5877231",
"0.5877231",
"0.5877231",
"0.58512187",
... | 0.0 | -1 |
Gerenciador a exibica de mensagem na tela. | private void exibe_mensagem(String msg){
Toast.makeText(getApplicationContext(), msg, Toast.LENGTH_LONG).show();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void exibirMsgs() {\n StringBuilder s = new StringBuilder();\n for (MensagemSistema msgSis : mensagens) {\n switch (msgSis.getTipo()) {\n case ConstantsControl.MSG_ALERT:\n s.append(\"[Alerta]: \\n\").append(msgSis.getMsg()).append(\"\\n\");\n ... | [
"0.7138065",
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"0.61862",
"0.61810803",
"0.61671215",
"0.616558",
"0.6160471",
"0.615684",
... | 0.68270713 | 3 |
Sets environment which reads application.properties | @Autowired
public void setEnvironment(Environment environment) {
this.environment = environment;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void setEnvironment(Properties properties);",
"public void setEnvironment(Map<String, String> environment);",
"Properties getEnvironment();",
"Properties getEnvironment();",
"@Override\n public void setEnvironment(Environment environment) {\n this.environment = environment;\n this.property... | [
"0.73319125",
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"0.6115705",
"0.61084926",
"0.6083296",
"0.60773194",
"0.606353... | 0.69265485 | 4 |
DataSource for my local database with Hicari coonnection pool | @Bean
public DataSource dataSource() {
HikariConfig hikariConfig = new HikariConfig();
hikariConfig.setDriverClassName(environment.getProperty("jdbc.driver"));
hikariConfig.setJdbcUrl(environment.getProperty("jdbc.url"));
hikariConfig.setUsername(environment.getProperty("jdbc.user"))... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public DatabaseConnector() {\n HikariConfig config = new HikariConfig();\n config.setJdbcUrl(\"jdbc:postgresql://localhost:5547/go_it_homework\");\n config.setUsername(\"postgres\");\n config.setPassword(\"Sam@64hd!+4\");\n this.ds = new HikariDataSource(config);\n ds.setM... | [
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"0.6656616",
"0.661366... | 0.6957507 | 11 |
Jdbc template for local database | @Bean
public JdbcTemplate jdbcTemplate() {
return new JdbcTemplate(dataSource());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public DressDaoJdbc(NamedParameterJdbcTemplate jdbcTemplate) {\n this.jdbcTemplate = jdbcTemplate;\n }",
"public void setupDB()\r\n\t{\n\tjdbcTemplateObject.execute(\"DROP TABLE IF EXISTS employee1 \");\r\n\r\n\tjdbcTemplateObject.\r\n\texecute(\"CREATE TABLE employee1\"\r\n\t+ \"(\" + \"name VARCHAR(2... | [
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"0.56672317",
"0.56666297",
"0.565... | 0.61557794 | 4 |
Transaction manager platform to work with transactions. | @Bean
public PlatformTransactionManager transactionManager() {
DataSourceTransactionManager transactionManager = new DataSourceTransactionManager();
transactionManager.setDataSource(dataSource());
return transactionManager;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public interface TransactionManager {\n\n\t/**\n\t * Start a new read only transaction.\n\t */\n\n\tStableView view();\n\n\t/**\n\t * Start a transaction for mutation.\n\t */\n\n\tMutableView begin();\n\n\t/**\n\t * Commit a previously prepared transaction for a two phase commit.\n\t *\n\t * @param tpcid\n\t * ... | [
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"0.6436936",
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"0.64157... | 0.5806875 | 91 |
Sets up a new map for testing. | public void setUp()
{
map = new Map(5, 5, null);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Before\n public void initialize()\n {\n map = new MapAdapter();\n }",
"private static void initializeMaps()\n\t{\n\t\taddedPoints = new HashMap<String,String[][][]>();\n\t\tpopulatedList = new HashMap<String,Boolean>();\n\t\tloadedAndGenerated = new HashMap<String,Boolean>();\n\t}",
"private v... | [
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"0.69288576"... | 0.85473955 | 0 |
Tests the getObjects method for map. | public void testGetObjects()
{
assertNotNull( map.getObjects() );
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void testMapGet() {\r\n }",
"@Test\n\tpublic void testMaps() throws Exception {\n\t\ttestWith(TestClassMap.getInstance());\n\t}",
"@Test\n @Override\n public void testMapGet() {\n }",
"public ProofMapIndexProxy<String, String> testMap() {\n String fullName = namespace + \".test-map\";\n... | [
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"0.59596586",
"0.5956965",... | 0.86288005 | 0 |
Tests the getTerrain method for map. | public void testGetTerrain()
{
assertNotNull( map.getTerrain() );
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public TerrainMap getTerrainMap(){\n\t\treturn this.terrainMap;\n\t}",
"@Test\r\n\tpublic void testMapValidation() {\r\n\t\tAssert.assertEquals(true,mapdata.contains(worldmap.getContinents()));\r\n\t\t\n\t\tAssert.assertEquals(true,mapdata.contains(worldmap.getTerritories()));\r\n\t}",
"boolean isSetRoadTerrai... | [
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"0.551... | 0.8847432 | 0 |
Tests the getBackground method for map. | public void testGetBackground()
{
assertNotNull( map.getBackground() );
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void notOnGroundTest(){\n TileMap tileMap = new TileMap(24, 24, new byte[][]{{0,0},{0,0}},new byte[][]{{1,0},{1,1}}, tilepath);\n Rect cBox = new Rect(2,2,2,2);\n assertFalse(tileMap.isOnGround(cBox));\n }",
"public void checkIfMapViewNeedsBackgroundUpdate() {\n f... | [
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"0.5351349",
... | 0.8728538 | 0 |
As standard: get X, Y training data | public void fit(int[][] trainingData, int[][] trainingLabels) {
for(int epoch = 0; epoch < maxEpoch; epoch ++) {
for(int i = 0; i < trainingData.length; i++) {
train(trainingData[i], trainingLabels[i]);
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double[][] getTrainingData() {\n double[][] trainingData = new double[dataSetInReducedPca[0].length][dataSetInReducedPca.length + 1];\n \n for (int r = 0; r < dataSetInReducedPca[0].length; ++r) {\n // get data set in reduced pca\n for (int f = 0; f < dataSetInRedu... | [
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"0.5363018",
"0.53175575... | 0.0 | -1 |
As standard: get testingData | public int predict(int[] testingData) {
// HIDDEN LAYER
double[] hiddenActivations = new double[SIZE_HIDDEN_LAYER];
for(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {
hiddenActivations[indexHidden] = 0;
for(int indexInput = 0; indexInput < SIZE_INPUT_LAYER; indexInput++) {
hid... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String getTestData(RequestTestDataType testData) {\n return testDataMap.get(testData);\n }",
"@DataProvider(name=\"Unverified test data\")\n\t\n\tpublic String[][] getTestData()\n\t {\n\t\tlog.info(\"reading exceldata\");\n\t\tString[][] testRecords=getData(\"Other.xlsx\", \"Unverified\");\n\t\t... | [
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"0.62569046",
"0.620... | 0.0 | -1 |
/ It return the whole softmax probabilities instead of only the class predicted | public double[] predictSoft(double[] testingData) {
double[] hiddenActivations = new double[SIZE_HIDDEN_LAYER];
double[] hiddenActivations2 = new double[SIZE_HIDDEN_LAYER];
for(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {
hiddenActivations[indexHidden] = 0;
for(int indexInput = 0;... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double[] softmax(double[] input) {\n double output[] = new double[input.length];\n for (int i = 0; i < input.length; i++) {\n double div = 0.0;\n for (int j = 0; j < input.length; j++) {\n div += Math.exp( input[j] / softMax_temperature );\n }\n ... | [
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"0.543746... | 0.66817504 | 0 |
/ Backpropagation learning algorithm | private void train(int[] trainingData, int[] trainingLabel) {
// forward Propagation
double[] activationsOfHiddenLayer = new double[SIZE_HIDDEN_LAYER];
double[] outputActivations = new double[SIZE_OUTPUT_LAYER];
forwardPropagation(trainingData, activationsOfHiddenLayer, outputActivations);
// backward Propag... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void applyBackpropagation( float expectedOutput[] ) {\n\t\t// The code for updating weights goes here \n\t\t// NOTE: if using a single perceptron, this is not technically back-propagation, despite the function name \n }",
"private void backwardPropagation(int[] trainingData, int[] trainingLabel, double... | [
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"0.6373461"... | 0.64564174 | 19 |
/ Should be the activations hiddenLayer, activations outputLayer (using activations hiddenLayer) | private void forwardPropagation(int[] trainingData, double[] activationsOfHiddenLayer, double[] outputActivations) {
double[] hiddenActivations = new double[SIZE_HIDDEN_LAYER];
for(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {
hiddenActivations[indexHidden] = 0;
for(int indexInput =... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void initLayers() {\n\t\t/* Initialise the weights */\n\t Random rng = new Random(1);\n double distributeRandom = 1.0 / SIZE_INPUT_LAYER;\n\t\tweightsOfHiddenLayer = new double[SIZE_HIDDEN_LAYER][SIZE_INPUT_LAYER]; \n\t\tweightsOfOutputLayer = new double[SIZE_OUTPUT_LAYER][SIZE_HIDDEN_LAYER]; \n\t... | [
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"0.5378... | 0.6753463 | 0 |
/ Find the error at the output units Create delta | private void backwardPropagation(int[] trainingData, int[] trainingLabel, double[] outputActivations, double[] hiddenActiv) {
double[] delta = new double[SIZE_OUTPUT_LAYER];
// Update OutputLayer weights
for(int indexOutput = 0; indexOutput < SIZE_OUTPUT_LAYER; indexOutput++) {
// We define delta as the differ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private double calculateError(double[] outputsActual, double[] outputsTarget) {\n return Utilities.calculateError(outputsActual, outputsTarget);\n }",
"private double computeError(){\n double temp = 0;\r\n for(int trial_Number = 0; trial_Number < expectedOutputList.length; trial_Number++){\r\n ... | [
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"0.5495819"... | 0.0 | -1 |
/ It initialise the weights | public void initLayers() {
/* Initialise the weights */
Random rng = new Random(1);
double distributeRandom = 1.0 / SIZE_INPUT_LAYER;
weightsOfHiddenLayer = new double[SIZE_HIDDEN_LAYER][SIZE_INPUT_LAYER];
weightsOfOutputLayer = new double[SIZE_OUTPUT_LAYER][SIZE_HIDDEN_LAYER];
/* Initialise the ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void initWeights(){\r\n Random rand = new Random();\r\n double e = Math.sqrt(6.0/(wordSize*windowSize+hiddenSize));\r\n \r\n W = SimpleMatrix.random(hiddenSize, windowSize*wordSize, -e, e, rand);\r\n b1 = new SimpleMatrix(hiddenSize, 1);\r\n b1.zero();\r\n \r\n ... | [
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"0.66437644... | 0.7032861 | 9 |
Basic contract on ESB Agent class. It is the class that will (1) create an asynchronous ProvaCommunicator; (2) implement send to allow a Prova agent to send goals as messages via bus; (3) accept messages from the bus and use ProvaCommunicator.add() to queue these messages on the agent. | public interface ProvaAgent {
void receive(ProvaList terms) throws Exception;
void send(String dest, ProvaList terms) throws Exception;
String getAgentName();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public interface IPSAgent\n{\n /**\n * This method is the first one to be called by the Agent Manager just after\n * instantiating the implementing class object. This is called only once in\n * the object's life cycle.\n * @param configData - DOM Element representing the configuration data\n * def... | [
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"0.53291017",
"0.5321265... | 0.752158 | 0 |
Inflate the layout for this fragment | @Override
public View onCreateView(LayoutInflater inflater, ViewGroup container,
Bundle savedInstanceState) {
View view = inflater.inflate(R.layout.fragment_list_friend, container, false);
setHasOptionsMenu(true);
lvSearch = (ListView) view.findViewById(R.id.lvS... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_main_allinfo, container, false);\n }",
"@Override\r\n\tpublic View onCreateView(LayoutInflater inflater, ViewGroup... | [
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"0.6634193",
"0.66251... | 0.0 | -1 |
super.channelRead(ctx, msg); ByteBuf buffer = (ByteBuf) msg; System.out.println("received msg: "+ buffer.toString(CharsetUtil.UTF_8) + " current thread: " + Thread.currentThread().getName()); ctx.pipeline().write(buffer); System.out.println("received msg: "+ msg.toString() + " current thread: " + Thread.currentThread()... | @Override
public void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {
// ctx.pipeline().write(buffer);
// System.out.println("received msg: "+ msg.toString()
// + " ---current thread: " + Thread.currentThread().getName());
logger.info("received ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n protected void channelRead0(ChannelHandlerContext ctx, ByteBuf msg) {\n System.out.println(\"Client received: \" + ByteBufUtil.hexDump(msg.readBytes(msg.readableBytes())));\n }",
"@Override\n public void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {\n\n ... | [
"0.7913225",
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"0.6836581",
"0.6811689",
"0.6784842",
"0.6702003",
"0.66993415",
"0.668044... | 0.7598814 | 5 |
Applies a velocity to each of the entities pushing them away from each other. Args: entity | @Override
public void applyEntityCollision(Entity entity)
{
Vector3 v = Vector3.getNewVector();
Vector3 v1 = Vector3.getNewVector();
blockBoxes.clear();
int sizeX = blocks.length;
int sizeY = blocks[0].length;
int sizeZ = blocks[0][0].length;
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void updatePhysics ( ECSEntity entity, long t )\n {\n // Constants.\n \n final double SCREEN_HEIGHT = 600.0;\n final double FRICTION_COEFFICIENT = 0.0001 / SCREEN_HEIGHT;\n final double ACCELERATION = 0.001 / SCREEN_HEIGHT;\n \n // Initial... | [
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"0.5168666",
"0.5165864",
"0.51623946",
"0.51615936",
"0.51611185",
"0.51495564",
"0.51352... | 0.56345063 | 3 |
Called when the entity is attacked. | public boolean attackEntityFrom(DamageSource source, int damage)
{
if (damage > 15) { return true; }
return false;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void attack(Entity entity) {\n\t}",
"@Override\n public void attack(Entity e) {\n e.hit(atk);\n }",
"@Override\n\tpublic void attack() {\n\n\t}",
"public void attack() {\n this.attacked = true;\n }",
"@Override\n\tpublic void attack() {\n\t\t\n\t}",
"@Override\n\tpublic void... | [
"0.81811714",
"0.7902662",
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"0.7216059",
"0.7209634",
"0.718743",
"0.7186191",
"0.71704334",
"0.717043... | 0.0 | -1 |
Returns true if other Entities should be prevented from moving through this Entity. | @Override
public boolean canBeCollidedWith()
{
return !this.isDead;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean continueExecuting()\n\t{\n\t\treturn this.entity.posX != this.xPosition && this.yPosition != this.entity.posY && this.entity.posZ != this.zPosition;\n\t}",
"public boolean isBlockingTo(Entity wantsToMoveHere)\n\t{\n\t\treturn false;\n\t}",
"private boolean canMove() {\n return !(bestMove[... | [
"0.66526324",
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"0.6187628",
"0.61847514",
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"0.59489477",
"0.5927099",
"0.59114295",
"0.5888292",
"0.5834995",
"0.5... | 0.5431725 | 76 |
Returns true if this entity should push and be pushed by other entities when colliding. | @Override
public boolean canBePushed()
{
return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected boolean isColliding() {\n\t\treturn phxService.isColliding(this);\n\t}",
"@Override\n\tpublic boolean canBePushed() {\n\t\treturn super.canBePushed() && isEgg();\n\t}",
"@Override\n\tpublic boolean hasCollide(Entity e) {\n\t\treturn rect.intersects(e.getRectangle());\n\t}",
"private boolean isPusha... | [
"0.6355325",
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"0.553662",
"0.5489457",
"0.54817945",
"0.54817945",
"0.5480415",
"0.5477269... | 0.62419486 | 1 |
returns the bounding box for this entity | public AxisAlignedBB getBoundingBox()
{
return null;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Rectangle getBoundingBox() {\n\t\treturn getBounds();\n\t}",
"@Override\n\tpublic Rectangle getBoundingBox() {\n\t\tRectangle rectangle = new Rectangle(this.image.getWidth(), this.image.getWidth());\n\t\trectangle.setLocation(this.position);\n\t\treturn rectangle;\n\t}",
"public Rectangle getBoundingBox... | [
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"0.79324114",
"0.78259903",
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"0.71248174",
"0.71157163",
"0.7030013",
"0.7007851",
"0.6991495",
"0.69751906",
"0.69... | 0.7011682 | 17 |
Checks if the entity's current position is a valid location to spawn this entity. | public boolean getCanSpawnHere()
{
return false;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void checkEnemy() {\n\t\tif (enemy != null)\n\t\tif (Integer.parseInt(getCurrentPositionX()) == enemy.getCurrentPositionX() && Integer.parseInt(getCurrentPositionY()) == enemy.getCurrentPositionY()) {\n\t\t\tx = spawnX;\n\t\t\ty = spawnY;\n\t\t}\n\t}",
"@Override\n\tpublic boolean canCoordinateBeSpawn(int... | [
"0.69288224",
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"0.6837175",
"0.67701966",
"0.67416394",
"0.66756684",
"0.6648431",
"0.6585194",
"0.6575402",
"0.65661234",
"0.65261346",
"0.64639556",
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"0.63169175",
"0.6314182",
"0.62825537",
"0.626334",
"0.6239614",
"0.622464",
"0.62202... | 0.0 | -1 |
TODO Autogenerated method stub | @Override
public ItemStack getCurrentArmor(int slotIn)
{
return null;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
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"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
First layer of player interaction | @Override
public boolean interactFirst(EntityPlayer player)
{
ItemStack item = player.getHeldItem();
if (player.isSneaking() && item != null && item.getItem() instanceof ItemLinker
&& ((owner != null && player.getUniqueID().equals(owner)) || player.capabilities.isCreativeMod... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void playerPassedStart(Player player);",
"public void playerTurnStart() {\n\r\n\t}",
"@Override\n public void landedOn(Player player) {}",
"public abstract void activatedBy(Player player);",
"public String callPlayer() {\n\t\treturn \"OVER HERE!!\";\n\t}",
"public void enter(FieldPlayer player){\n ... | [
"0.7148206",
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"0.6276841",
"0.6268168",
"0.62591857",
"0.6246966",
"0.624... | 0.6350383 | 12 |
Will get destroyed next tick. | @Override
public void setDead()
{
if (!worldObj.isRemote && !this.isDead)
{
if (blocks != null)
{
for (ItemStack[][] barrarr : blocks)
{
for (ItemStack[] barr : barrarr)
for (ItemStack b... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void destroy() {\n\t\tdestroyRadius();\r\n\t\tisDestroyed = true;\r\n\t\ttimer.stop();\r\n\t\tthis.x -= 50;\r\n\t\tthis.y -= 50;\r\n\t\ttimer.setDelay(100);\r\n\t\ttimer.start();\r\n\t}",
"void decrementTick();",
"synchronized void destroy() {\n destroyed = true;\n }",
"public void tick() {\n ... | [
"0.6680622",
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"0.62659186",
"0.62508684",
"0.62411886",
"0.62333196",
"0.621052... | 0.0 | -1 |
Precalculate the different planes needed | public void update(Matrix4f viewProjectionMatrix) {
for (int i = 0; i < 6; ++i) {
planes[i] = viewProjectionMatrix.frustumPlane(i, planes[i]);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected final void resetClipPlanes()\n {\n // set the point for each plane to the viewer position\n Vector3d loc = myPosition.getLocation();\n myLeftClip.setPoint(loc);\n myRightClip.setPoint(loc);\n myBottomClip.setPoint(loc);\n myTopClip.setPoint(loc);\n myRi... | [
"0.66389203",
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"0.6005128",
"0.58454335",
"0.57147217",
"0.56263924",
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"0.5430648",
"0.5429968",
"0.5402454",
"0.5397372",
"0.536924... | 0.51739424 | 35 |
Make two deposits to the same account in separate threads. We start with a balance of $42: John deposits $100, Mary deposits $500. | private static void Demo() throws Exception {
// int i;
// We can access static class members with the class name, we don't need an object name
MakeDeposit.balance = 42;
/*
* We need two instances of the class, each running in a separate
* thread
*/
MakeDeposit johnThread = new MakeDeposit(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static void main(String[] args) {\n Random rand = new Random();\n rand.setSeed(0);\n for (int run = 0; run < 1000 * 1000; run++) {\n // Generate 2 arrays of 50 amounts.\n final int NUM = 50;\n int difference = 0;\n int[] amounts1 = new int[50]... | [
"0.6909084",
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"0.6414569",
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"0.61617154",
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"0.59684116",
"0.58939385",
"0.58665717",
"0.58053714",
"0.57731384",
"0.5... | 0.642725 | 2 |
Find the _Fields constant that matches fieldId, or null if its not found. | public static _Fields findByThriftId(int fieldId) {
switch(fieldId) {
case 1: // BID_PRICE4
return BID_PRICE4;
case 2: // BID_VOLUME4
return BID_VOLUME4;
case 3: // BID_PRICE5
return BID_PRICE5;
case 4: // BID_VOLUME5
return BID_VOLUME5;
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // REFERRAL_LOG_IDS\n return REFERRAL_LOG_IDS;\n default:\n return null;\n }\n }",
"@org.apache.thrift.annotation.Nullable\n ... | [
"0.79869914",
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"0.7701162",
"0.7699386",
"0.76957756",
"0.7... | 0.0 | -1 |
Find the _Fields constant that matches fieldId, throwing an exception if it is not found. | public static _Fields findByThriftIdOrThrow(int fieldId) {
_Fields fields = findByThriftId(fieldId);
if (fields == null) throw new IllegalArgumentException("Field " + fieldId + " doesn't exist!");
return fields;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@org.apache.thrift.annotation.Nullable\n public static _Fields findByThriftId(int fieldId) {\n switch(fieldId) {\n case 1: // E\n return E;\n default:\n return null;\n }\n }",
"@org.apache.thrift.annotation.Nullable\n public static _Fields find... | [
"0.7626537",
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"0.7626537",
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"0.76217574",
"0.76217574",
"0.76217574",
"0.... | 0.0 | -1 |
Find the _Fields constant that matches name, or null if its not found. | public static _Fields findByName(String name) {
return byName.get(name);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@org.apache.thrift.annotation.Nullable\n public static _Fields findByName(java.lang.String name) {\n return byName.get(name);\n }",
"@org.apache.thrift.annotation.Nullable\n public static _Fields findByName(java.lang.String name) {\n return byName.get(name);\n }",
"@org.apache... | [
"0.7641586",
"0.7641586",
"0.7641586",
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"0.7641586",
"0.7641586",
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"0.7641586",
"0.7641586",
"0.7641586",
"0.7641586",
"0.7641586",
"... | 0.0 | -1 |
Performs a deep copy on other. | public CThostFtdcMarketDataBid45Field(CThostFtdcMarketDataBid45Field other) {
__isset_bitfield = other.__isset_bitfield;
this.bidPrice4 = other.bidPrice4;
this.bidVolume4 = other.bidVolume4;
this.bidPrice5 = other.bidPrice5;
this.bidVolume5 = other.bidVolume5;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Prototype makeCopy();",
"public void copy (WorldState other)\n\t{\n\t\tresetProperties();\n\t\t//Iterate through other state and clone it's properties into this states properties\n\t\tCollection<WorldStateProperty> otherProperties = other.properties.values();\n\t\tfor (WorldStateProperty property : otherProperti... | [
"0.7214815",
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"0.6549605",
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"0.6403375",
"0.63743764",
"0.6373319",
"0.6358263",
"0.6322797",
"0.63214344",
"0.62839",
... | 0.0 | -1 |
Returns true if field bidPrice4 is set (has been assigned a value) and false otherwise | public boolean isSetBidPrice4() {
return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE4_ISSET_ID);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean isSetBidPrice() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE_ISSET_ID);\n }",
"public boolean isSetBidPrice5() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDPRICE5_ISSET_ID);\n }",
"public boolean isSetBidVolume4() {\n return EncodingUtils.testBit(__isset_bi... | [
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"0.7220573",
"0.72187155",
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"0.6706602",
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"0.6538531",
"0.6519271",
"0.64826477",
"0.6428874",
"0.63891405",
"0.6388483",
"0.63883... | 0.8383622 | 0 |
Returns true if field bidVolume4 is set (has been assigned a value) and false otherwise | public boolean isSetBidVolume4() {
return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME4_ISSET_ID);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean isSetBidVolume() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME_ISSET_ID);\n }",
"public boolean isSetBidVolume5() {\n return EncodingUtils.testBit(__isset_bitfield, __BIDVOLUME5_ISSET_ID);\n }",
"public boolean isSetBidPrice4() {\n return EncodingUtils.testBit(__isset... | [
"0.78722316",
"0.750076",
"0.73483187",
"0.6617104",
"0.6610414",
"0.65604514",
"0.65537614",
"0.6416334",
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"0.62484574",
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"0.6049055",
"0.60407823",
"0.6024757",
"0.59736687",
"0.59261066",
"0.58858895",
"0.58... | 0.8464085 | 0 |
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