List of usage examples for java.util Random nextDouble
public double nextDouble()
From source file:edu.eci.arsw.model.Board.java
public Board() { Calendar cal = Calendar.getInstance(); ID = dateFormat.format(cal.getTime()); Random rnd = new Random(); Integer[] used = new Integer[width * height]; int val, i, j; for (i = 0; i < width * height; i++) used[i] = 0;/*from w w w.j av a 2 s.c o m*/ for (i = 0; i < width; i++) { for (j = 0; j < height; j++) { val = (int) (rnd.nextDouble() * width * height); while (used[val] != 0) val = (int) (rnd.nextDouble() * width * height); used[val] = 1; board[i][j] = val; } } for (i = 0; i < width * height; i++) used[i] = 0; for (i = 0; i < cards2Find; i++) { val = (int) (rnd.nextDouble() * width * height); while (used[val] != 0) val = (int) (rnd.nextDouble() * width * height); used[val] = 1; cards[i] = val; } }
From source file:pltag.parser.params.ProbVec.java
public int sample(Random random) { final double target = random.nextDouble() * sum; int i = -1;/*w w w . j ava 2 s. c o m*/ double accum = 0.0; while (accum < target) { i += 1; accum += counts[i]; } return i; }
From source file:bachelorthesis.methods.detection.bayesian.BayesianDetection.java
/** * Generates time series for code testing * @param numberOfParts number of parts with constant mean * @param samePointsMin min number of points per part * @param samePointsMax max number of points per part * @param maxDeviation maximal deviation of mean (e.g. 0.1) * @return generated time series with given specs *//*from w ww. j ava2 s.com*/ private Value[] generate(int numberOfParts, int samePointsMin, int samePointsMax, double maxDeviation) { Value[] data = new Value[0]; int sum = EARLIEST_YEAR; for (int i = 0; i < numberOfParts; i++) { Random rand = new Random(); int numberOfPoints = rand.nextInt(samePointsMax - samePointsMin + 1) + samePointsMin; double mean = rand.nextDouble(); double var = rand.nextDouble() * maxDeviation; System.out.println(sum + " - " + (sum + numberOfPoints) + "\t" + mean); sum += numberOfPoints; Value[] add = new Value[numberOfPoints]; for (int j = 0; j < numberOfPoints; j++) { add[j] = new Value(mean + ((rand.nextDouble() * 2 - 1) * var)); } data = ArrayUtils.addAll(data, add); } return data; }
From source file:pltag.parser.params.SparseVec.java
public int sample(Random random) { final double target = random.nextDouble() * sum; int i = -1;//from w w w.j av a 2 s. c o m double accum = 0.0; while (accum < target) { i += 1; accum += counts.getEntry(i); } return i; }
From source file:lirmm.inria.fr.math.OpenLongToDoubleHashMapTest.java
private Map<Long, Double> generate() { Map<Long, Double> map = new HashMap<>(); Random r = new Random(); for (int i = 0; i < 2000; ++i) { map.put(r.nextLong(), r.nextDouble()); }//from www . j a v a 2 s . c om return map; }
From source file:org.canova.api.util.MathUtils.java
/** * This will generate a series of uniformally distributed * numbers between l times//from w ww . ja v a2 s.c o m * * @param l the number of numbers to generate * @return l uniformally generated numbers */ public static double[] generateUniform(int l) { double[] ret = new double[l]; java.util.Random rgen = new java.util.Random(); for (int i = 0; i < l; i++) { ret[i] = rgen.nextDouble(); } return ret; }
From source file:edu.jhuapl.graphs.jfreechart.JFreeChartTimeSeriesGraphSourceTestCase.java
private double getNextRandomValue(Random r) { // we have a 90% chance of something in 0-10, and a 10% chance of something in 10-20 if (r.nextDouble() <= .9) { return 10 * r.nextDouble(); } else {/* w ww .j a v a 2 s . co m*/ return 10 + 10 * r.nextDouble(); } }
From source file:org.orekit.utils.FieldPVCoordinatesTest.java
private PolynomialFunction randomPolynomial(int degree, Random random) { double[] coeff = new double[1 + degree]; for (int j = 0; j < degree; ++j) { coeff[j] = random.nextDouble(); }//from w w w.j ava2s . c o m return new PolynomialFunction(coeff); }
From source file:org.pentaho.di.trans.steps.cpythonscriptexecutor.CPythonScriptExecutorData.java
/** * Generate some random rows to send to python in the case where a single variable (data frame) is being extracted * and we want to try and determine the types of the output fields * * @param inputMeta incoming row meta/*from ww w. ja v a 2 s .c o m*/ * @param r Random instance to use * @return a list of randomly generated rows with types matching the incoming row types. * @throws KettleException if a problem occurs */ protected static List<Object[]> generateRandomRows(RowMetaInterface inputMeta, Random r) throws KettleException { List<Object[]> rows = new ArrayList<Object[]>(NUM_RANDOM_ROWS); // ValueMetaInterface numericVM = new ValueMeta( "num", ValueMetaInterface.TYPE_NUMBER ); //$NON-NLS-1$ ValueMetaInterface numericVM = ValueMetaFactory.createValueMeta("num", ValueMetaInterface.TYPE_NUMBER); //$NON-NLS-1$ for (int i = 0; i < NUM_RANDOM_ROWS; i++) { Object[] currentRow = new Object[inputMeta.size()]; for (int j = 0; j < inputMeta.size(); j++) { ValueMetaInterface vm = inputMeta.getValueMeta(j); ValueMetaInterface tempVM = vm.clone(); tempVM.setStorageType(ValueMetaInterface.STORAGE_TYPE_NORMAL); Object newVal; double d = r.nextDouble(); switch (vm.getType()) { case ValueMetaInterface.TYPE_NUMBER: case ValueMetaInterface.TYPE_INTEGER: case ValueMetaInterface.TYPE_BIGNUMBER: d *= 100.0; newVal = d; if (vm.getStorageType() == ValueMetaInterface.STORAGE_TYPE_BINARY_STRING) { newVal = tempVM.convertData(numericVM, newVal); } currentRow[j] = vm.getStorageType() == ValueMetaInterface.STORAGE_TYPE_NORMAL ? vm.convertData(numericVM, newVal) : tempVM.convertToBinaryStringStorageType(newVal); break; case ValueMetaInterface.TYPE_DATE: newVal = new Date(new Date().getTime() + (long) (d * 100000)); currentRow[j] = vm.getStorageType() == ValueMetaInterface.STORAGE_TYPE_NORMAL ? newVal : tempVM.convertToBinaryStringStorageType(newVal); break; case ValueMetaInterface.TYPE_TIMESTAMP: newVal = new Timestamp(new Date().getTime() + (long) (d * 100000)); currentRow[j] = vm.getStorageType() == ValueMetaInterface.STORAGE_TYPE_NORMAL ? newVal : tempVM.convertToBinaryStringStorageType(newVal); break; case ValueMetaInterface.TYPE_BOOLEAN: newVal = r.nextBoolean(); currentRow[j] = vm.getStorageType() == ValueMetaInterface.STORAGE_TYPE_NORMAL ? newVal : tempVM.convertToBinaryStringStorageType(newVal); break; default: newVal = d < 0.5 ? "value1" : "value2"; currentRow[j] = vm.getStorageType() == ValueMetaInterface.STORAGE_TYPE_NORMAL ? newVal : tempVM.convertToBinaryStringStorageType(newVal); } } rows.add(currentRow); } return rows; }
From source file:com.linkedin.thirdeye.hadoop.derivedcolumn.transformation.DerivedColumnNoTransformationTest.java
private long generateRandomHoursSinceEpoch() { Random r = new Random(); // setting base value to year 2012 long unixtime = (long) (1293861599 + r.nextDouble() * 60 * 60 * 24 * 365); return TimeUnit.SECONDS.toHours(unixtime); }