Examples of org.apache.commons.math3.exception.MathIllegalStateException

Package org.apache.commons.math3.exception

Examples of org.apache.commons.math3.exception.MathIllegalStateException

org.apache.commons.math3.exception.MathIllegalStateException
Base class for all exceptions that signal that the process throwing the exception is in a state that does not comply with the set of states that it is designed to be in. @since 2.2

     * Throws MathIllegalStateException if the statistic is not empty.
     * @throws MathIllegalStateException if n > 0.
     */
    private void checkEmpty() {
        if (n > 0) {
            throw new MathIllegalStateException(
                    LocalizedFormats.VALUES_ADDED_BEFORE_CONFIGURING_STATISTIC, n);
        }
    }

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    /**
     * Throws IllegalStateException if n > 0.
     */
    private void checkEmpty() {
        if (n > 0) {
            throw new MathIllegalStateException(
                LocalizedFormats.VALUES_ADDED_BEFORE_CONFIGURING_STATISTIC, n);
        }
    }

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            case REPLAY_MODE: return getNextReplay();
            case UNIFORM_MODE: return getNextUniform();
            case EXPONENTIAL_MODE: return getNextExponential();
            case GAUSSIAN_MODE: return getNextGaussian();
            case CONSTANT_MODE: return mu;
            default: throw new MathIllegalStateException(
                    LocalizedFormats.UNKNOWN_MODE,
                    mode,
                    "DIGEST_MODE",   DIGEST_MODE,   "REPLAY_MODE",      REPLAY_MODE,
                    "UNIFORM_MODE",  UNIFORM_MODE,  "EXPONENTIAL_MODE", EXPONENTIAL_MODE,
                    "GAUSSIAN_MODE", GAUSSIAN_MODE, "CONSTANT_MODE",    CONSTANT_MODE);

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     * @return next random value from the empirical distribution digest
     */
    private double getNextDigest() {
        if ((empiricalDistribution == null) ||
            (empiricalDistribution.getBinStats().size() == 0)) {
            throw new MathIllegalStateException(LocalizedFormats.DIGEST_NOT_INITIALIZED);
        }
        return empiricalDistribution.getNextValue();
    }

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        if ((str = filePointer.readLine()) == null) {
            // we have probably reached end of file, wrap around from EOF to BOF
            closeReplayFile();
            resetReplayFile();
            if ((str = filePointer.readLine()) == null) {
                throw new MathIllegalStateException(LocalizedFormats.URL_CONTAINS_NO_DATA,
                                                    valuesFileURL);
            }
        }
        return Double.valueOf(str).doubleValue();
    }

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            yB = f.value(b);
            if (yA * yB <= 0) {
                return b;
            }
        }
        throw new MathIllegalStateException(LocalizedFormats.UNABLE_TO_BRACKET_OPTIMUM_IN_LINE_SEARCH);
    }

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            try {
                percentileImpl.getClass().getMethod(SET_QUANTILE_METHOD_NAME,
                        new Class[] {Double.TYPE}).invoke(percentileImpl,
                                new Object[] {Double.valueOf(p)});
            } catch (NoSuchMethodException e1) { // Setter guard should prevent
                throw new MathIllegalStateException(
                      LocalizedFormats.PERCENTILE_IMPLEMENTATION_UNSUPPORTED_METHOD,
                      percentileImpl.getClass().getName(), SET_QUANTILE_METHOD_NAME);
            } catch (IllegalAccessException e2) {
                throw new MathIllegalStateException(
                      LocalizedFormats.PERCENTILE_IMPLEMENTATION_CANNOT_ACCESS_METHOD,
                      SET_QUANTILE_METHOD_NAME, percentileImpl.getClass().getName());
            } catch (InvocationTargetException e3) {
                throw new IllegalStateException(e3.getCause());
            }

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     * #optimize(int,MultivariateFunction,GoalType,double[]) optimize}
     * has not been called.
     */
    public PointValuePair[] getOptima() {
        if (optima == null) {
            throw new MathIllegalStateException(LocalizedFormats.NO_OPTIMUM_COMPUTED_YET);
        }
        return optima.clone();
    }

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        DataAdapter da = new ArrayDataAdapter(in);
        try {
            da.computeStats();
            fillBinStats(in);
        } catch (IOException e) {
            throw new MathIllegalStateException(e, LocalizedFormats.SIMPLE_MESSAGE, e.getLocalizedMessage());
        }
        loaded = true;


    }

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     * @throws MathIllegalStateException if the distribution has not been loaded
     */
    public double getNextValue() throws MathIllegalStateException {


        if (!loaded) {
            throw new MathIllegalStateException(LocalizedFormats.DISTRIBUTION_NOT_LOADED);
        }


        // Start with a uniformly distributed random number in (0,1)
        double x = randomData.nextUniform(0,1);


        // Use this to select the bin and generate a Gaussian within the bin
        for (int i = 0; i < binCount; i++) {
           if (x <= upperBounds[i]) {
               SummaryStatistics stats = binStats.get(i);
               if (stats.getN() > 0) {
                   if (stats.getStandardDeviation() > 0) {  // more than one obs
                        return randomData.nextGaussian
                            (stats.getMean(),stats.getStandardDeviation());
                   } else {
                       return stats.getMean(); // only one obs in bin
                   }
               }
           }
        }
        throw new MathIllegalStateException(LocalizedFormats.NO_BIN_SELECTED);
    }

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org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction

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org.apache.commons.math3.analysis.function.Sin

org.apache.commons.math3.analysis.function.Sinc

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