Example usage for org.apache.commons.lang Validate isTrue

Introduction

In this page you can find the example usage for org.apache.commons.lang Validate isTrue.

Prototype

public static void isTrue(boolean expression) 

Source Link

Document

Validate an argument, throwing IllegalArgumentException if the test result is false.

This is used when validating according to an arbitrary boolean expression, such as validating a primitive number or using your own custom validation expression.

 Validate.isTrue( i > 0 ); Validate.isTrue( myObject.isOk() ); 

The message in the exception is 'The validated expression is false'.

Usage

From source file:com.opengamma.analytics.financial.schedule.QuarterlyScheduleCalculator.java

@Override
public LocalDate[] getSchedule(final LocalDate startDate, final LocalDate endDate, final boolean fromEnd,
        final boolean generateRecursive) {
    Validate.notNull(startDate, "start date");
    Validate.notNull(endDate, "end date");
    Validate.isTrue(startDate.isBefore(endDate) || startDate.equals(endDate));
    if (startDate.equals(endDate)) {
        return new LocalDate[] { startDate };
    }//from   w  ww. j  a  va 2s .  c o  m
    final List<LocalDate> dates = new ArrayList<LocalDate>();
    if (fromEnd) {
        LocalDate date = endDate;
        int i = 3;
        while (!date.isBefore(startDate)) {
            dates.add(date);
            date = generateRecursive ? date.minus(Period.ofMonths(3)) : endDate.minus(Period.ofMonths(i));
            i += 3;
        }
        Collections.reverse(dates);
        return dates.toArray(EMPTY_LOCAL_DATE_ARRAY);
    }
    LocalDate date = startDate;
    int i = 3;
    while (!date.isAfter(endDate)) {
        dates.add(date);
        date = generateRecursive ? date.plus(Period.ofMonths(3)) : startDate.plus(Period.ofMonths(i));
        i += 3;
    }
    return dates.toArray(EMPTY_LOCAL_DATE_ARRAY);
}

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From source file:com.opengamma.analytics.financial.schedule.SemiAnnualScheduleCalculator.java

@Override
public LocalDate[] getSchedule(final LocalDate startDate, final LocalDate endDate, final boolean fromEnd,
        final boolean generateRecursive) {
    Validate.notNull(startDate, "start date");
    Validate.notNull(endDate, "end date");
    Validate.isTrue(startDate.isBefore(endDate) || startDate.equals(endDate));
    if (startDate.equals(endDate)) {
        return new LocalDate[] { startDate };
    }// ww w  . j  a  va2 s . c  o m
    final List<LocalDate> dates = new ArrayList<LocalDate>();
    if (fromEnd) {
        LocalDate date = endDate;
        int i = 6;
        while (!date.isBefore(startDate)) {
            dates.add(date);
            date = generateRecursive ? date.minus(Period.ofMonths(6)) : endDate.minus(Period.ofMonths(i));
            i += 6;
        }
        Collections.reverse(dates);
        return dates.toArray(EMPTY_LOCAL_DATE_ARRAY);
    }
    LocalDate date = startDate;
    int i = 6;
    while (!date.isAfter(endDate)) {
        dates.add(date);
        date = generateRecursive ? date.plus(Period.ofMonths(6)) : startDate.plus(Period.ofMonths(i));
        i += 6;
    }
    return dates.toArray(EMPTY_LOCAL_DATE_ARRAY);
}

---

From source file:com.opengamma.analytics.financial.timeseries.analysis.DoubleTimeSeriesStatisticsCalculator.java

@Override
public Double evaluate(final DoubleTimeSeries<?>... x) {
    Validate.notNull(x, "x");
    Validate.isTrue(x.length > 0);
    ArgumentChecker.noNulls(x, "x");
    final int n = x.length;
    final double[][] arrays = new double[n][];
    for (int i = 0; i < n; i++) {
        arrays[i] = x[i].valuesArrayFast();
    }/*from  w ww.  jav  a 2  s .c  o  m*/
    return _statistic.evaluate(arrays);
}

---

From source file:com.opengamma.analytics.financial.interestrate.InterestRateCurveSensitivityUtils.java

/**
 * Takes a list of curve sensitivities (i.e. an unordered list of pairs of times and sensitivities) and returns a list order by ascending
 * time, and with sensitivities that occur at the same time netted (zero net sensitivities are removed)
 * @param old An unordered list of pairs of times and sensitivities
 * @param relTol Relative tolerance - if the net divided by gross sensitivity is less than this it is ignored/removed
 * @param absTol Absolute tolerance  - is the net sensitivity is less than this it is ignored/removed
 * @return A time ordered netted list/* w  ww . java2 s  .  c o  m*/
 */
static final List<DoublesPair> clean(final List<DoublesPair> old, final double relTol, final double absTol) {

    Validate.notNull(old, "null list");
    Validate.isTrue(relTol >= 0.0 && absTol >= 0.0);
    if (old.size() == 0) {
        return new ArrayList<DoublesPair>();
    }
    final List<DoublesPair> res = new ArrayList<DoublesPair>();
    final DoublesPair[] sort = old.toArray(new DoublesPair[] {});
    Arrays.sort(sort, FirstThenSecondDoublesPairComparator.INSTANCE);
    final DoublesPair pairOld = sort[0];
    double tOld = pairOld.first;
    double sum = pairOld.getSecond();
    double scale = Math.abs(sum);
    double t = tOld;
    for (int i = 1; i < sort.length; i++) {
        final DoublesPair pair = sort[i];
        t = pair.first;
        if (t > tOld) {
            if (Math.abs(sum) > absTol && Math.abs(sum) / scale > relTol) {
                res.add(new DoublesPair(tOld, sum));
            }
            tOld = t;
            sum = pair.getSecondDouble();
            scale = Math.abs(sum);
        } else {
            sum += pair.getSecondDouble();
            scale += Math.abs(pair.getSecondDouble());
        }
    }

    if (Math.abs(sum) > absTol && Math.abs(sum) / scale > relTol) {
        res.add(new DoublesPair(t, sum));
    }

    return res;
}

---

From source file:com.opengamma.analytics.financial.schedule.DailyScheduleCalculator.java

public LocalDate[] getSchedule(final LocalDate startDate, final LocalDate endDate) {
    Validate.notNull(startDate, "start date");
    Validate.notNull(endDate, "end date");
    Validate.isTrue(startDate.isBefore(endDate) || startDate.equals(endDate));
    if (startDate.equals(endDate)) {
        return new LocalDate[] { startDate };
    }// w  ww . j  av a2 s .  com
    final List<LocalDate> dates = new ArrayList<LocalDate>();
    LocalDate date = startDate;
    while (!date.isAfter(endDate)) {
        dates.add(date);
        date = date.plusDays(1);
    }
    return dates.toArray(EMPTY_LOCAL_DATE_ARRAY);
}

---

From source file:it.filosganga.mobile.widgets.component.TableCell.java

public TableCell(List<Component> children, boolean summary, int colspan) {
    super(children);

    Validate.isTrue(colspan >= 1);

    this.summary = summary;
    this.colspan = colspan;
}

---

From source file:com.opengamma.analytics.financial.interestrate.NelsonSiegelSvennsonBondCurveModel.java

public ParameterizedFunction<Double, DoubleMatrix1D, Double> getParameterizedFunction() {
    return new ParameterizedFunction<Double, DoubleMatrix1D, Double>() {

        @Override//  ww  w.  j  a va2  s .c  o  m
        public Double evaluate(final Double t, final DoubleMatrix1D parameters) {
            Validate.notNull(t, "t");
            Validate.notNull(parameters, "parameters");
            Validate.isTrue(parameters.getNumberOfElements() == 6);
            final double beta0 = parameters.getEntry(0);
            final double beta1 = parameters.getEntry(1);
            final double beta2 = parameters.getEntry(2);
            final double lambda1 = parameters.getEntry(3);
            final double beta3 = parameters.getEntry(4);
            final double lambda2 = parameters.getEntry(5);
            final double x1 = t / lambda1;
            final double x2 = (1 - Math.exp(-x1)) / x1;
            final double x3 = t / lambda2;
            final double x4 = (1 - Math.exp(-x3)) / x3;
            return beta0 + beta1 * x2 + beta2 * (x2 - Math.exp(-x1)) + beta3 * (x4 - Math.exp(-x3));
        }

        public Object writeReplace() {
            return new InvokedSerializedForm(NelsonSiegelSvennsonBondCurveModel.class,
                    "getParameterizedFunction");
        }

    };
}

---

From source file:com.opengamma.analytics.financial.var.parametric.DeltaMeanCalculator.java

@Override
public Double evaluate(final Map<Integer, ParametricVaRDataBundle> data) {
    Validate.notNull(data, "data");
    Validate.isTrue(data.containsKey(1));
    final ParametricVaRDataBundle deltaData = data.get(1);
    final DoubleMatrix1D mean = deltaData.getExpectedReturn();
    final DoubleMatrix1D delta = (DoubleMatrix1D) deltaData.getSensitivities();
    return _algebra.getInnerProduct(delta, mean);
}

---

From source file:com.opengamma.analytics.financial.schedule.FirstOfMonthScheduleCalculator.java

public LocalDate[] getSchedule(final LocalDate startDate, final LocalDate endDate) {
    Validate.notNull(startDate, "start date");
    Validate.notNull(endDate, "end date");
    Validate.isTrue(startDate.isBefore(endDate) || startDate.equals(endDate));
    if (startDate.equals(endDate)) {
        if (startDate.getDayOfMonth() == 1) {
            return new LocalDate[] { startDate };
        }//from  ww  w . j  ava2s .  c om
        throw new IllegalArgumentException(
                "Start date and end date were the same but neither was the first day of the month");
    }
    final List<LocalDate> dates = new ArrayList<LocalDate>();
    LocalDate date = startDate.with(DateAdjusters.firstDayOfMonth());
    if (date.isBefore(startDate)) {
        date = date.plusMonths(1);
    }
    while (!date.isAfter(endDate)) {
        dates.add(date);
        date = date.plusMonths(1);
    }
    return dates.toArray(EMPTY_LOCAL_DATE_ARRAY);
}

---

From source file:com.opengamma.analytics.financial.interestrate.NelsonSiegelBondCurveModel.java

public ParameterizedFunction<Double, DoubleMatrix1D, Double> getParameterizedFunction() {
    return new ParameterizedFunction<Double, DoubleMatrix1D, Double>() {

        @Override/*from ww  w.  j  av  a2 s. c o  m*/
        public Double evaluate(final Double t, final DoubleMatrix1D parameters) {
            Validate.notNull(t, "t");
            Validate.notNull(parameters, "parameters");
            Validate.isTrue(parameters.getNumberOfElements() == 4);
            final double beta0 = parameters.getEntry(0);
            final double beta1 = parameters.getEntry(1);
            final double beta2 = parameters.getEntry(2);
            final double lambda = parameters.getEntry(3);
            final double x1 = t / lambda;
            final double x2 = Epsilon.epsilon(-x1);
            return beta0 + beta1 * x2 + beta2 * (x2 - Math.exp(-x1));
        }

        public Object writeReplace() {
            return new InvokedSerializedForm(NelsonSiegelBondCurveModel.class, "getParameterizedFunction");
        }

    };
}

---

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