Java Code Examples for org.apache.commons.math.exception.util.LocalizedFormats#ARRAY_SUMS_TO_ZERO

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Example 1
Source File: MathUtils.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * <p>Normalizes an array to make it sum to a specified value.
 * Returns the result of the transformation <pre>
 *    x |-> x * normalizedSum / sum
 * </pre>
 * applied to each non-NaN element x of the input array, where sum is the
 * sum of the non-NaN entries in the input array.</p>
 *
 * <p>Throws IllegalArgumentException if {@code normalizedSum} is infinite
 * or NaN and ArithmeticException if the input array contains any infinite elements
 * or sums to 0</p>
 *
 * <p>Ignores (i.e., copies unchanged to the output array) NaNs in the input array.</p>
 *
 * @param values input array to be normalized
 * @param normalizedSum target sum for the normalized array
 * @return normalized array
 * @throws MathArithmeticException if the input array contains infinite elements or sums to zero
 * @throws MathIllegalArgumentException if the target sum is infinite or NaN
 * @since 2.1
 */
public static double[] normalizeArray(double[] values, double normalizedSum) {
    if (Double.isInfinite(normalizedSum)) {
        throw new MathIllegalArgumentException(LocalizedFormats.NORMALIZE_INFINITE);
    }
    if (Double.isNaN(normalizedSum)) {
        throw new MathIllegalArgumentException(LocalizedFormats.NORMALIZE_NAN);
    }
    double sum = 0d;
    final int len = values.length;
    double[] out = new double[len];
    for (int i = 0; i < len; i++) {
        if (Double.isInfinite(values[i])) {
            throw new MathIllegalArgumentException(LocalizedFormats.INFINITE_ARRAY_ELEMENT, values[i], i);
        }
        if (!Double.isNaN(values[i])) {
            sum += values[i];
        }
    }
    if (sum == 0) {
        throw new MathArithmeticException(LocalizedFormats.ARRAY_SUMS_TO_ZERO);
    }
    for (int i = 0; i < len; i++) {
        if (Double.isNaN(values[i])) {
            out[i] = Double.NaN;
        } else {
            out[i] = values[i] * normalizedSum / sum;
        }
    }
    return out;
}
Example 2
Source File: MathUtils.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * <p>Normalizes an array to make it sum to a specified value.
 * Returns the result of the transformation <pre>
 *    x |-> x * normalizedSum / sum
 * </pre>
 * applied to each non-NaN element x of the input array, where sum is the
 * sum of the non-NaN entries in the input array.</p>
 *
 * <p>Throws IllegalArgumentException if {@code normalizedSum} is infinite
 * or NaN and ArithmeticException if the input array contains any infinite elements
 * or sums to 0</p>
 *
 * <p>Ignores (i.e., copies unchanged to the output array) NaNs in the input array.</p>
 *
 * @param values input array to be normalized
 * @param normalizedSum target sum for the normalized array
 * @return normalized array
 * @throws MathArithmeticException if the input array contains infinite elements or sums to zero
 * @throws MathIllegalArgumentException if the target sum is infinite or NaN
 * @since 2.1
 */
public static double[] normalizeArray(double[] values, double normalizedSum) {
    if (Double.isInfinite(normalizedSum)) {
        throw new MathIllegalArgumentException(LocalizedFormats.NORMALIZE_INFINITE);
    }
    if (Double.isNaN(normalizedSum)) {
        throw new MathIllegalArgumentException(LocalizedFormats.NORMALIZE_NAN);
    }
    double sum = 0d;
    final int len = values.length;
    double[] out = new double[len];
    for (int i = 0; i < len; i++) {
        if (Double.isInfinite(values[i])) {
            throw new MathIllegalArgumentException(LocalizedFormats.INFINITE_ARRAY_ELEMENT, values[i], i);
        }
        if (!Double.isNaN(values[i])) {
            sum += values[i];
        }
    }
    if (sum == 0) {
        throw new MathArithmeticException(LocalizedFormats.ARRAY_SUMS_TO_ZERO);
    }
    for (int i = 0; i < len; i++) {
        if (Double.isNaN(values[i])) {
            out[i] = Double.NaN;
        } else {
            out[i] = values[i] * normalizedSum / sum;
        }
    }
    return out;
}
Example 3
Source File: MathUtils.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * <p>Normalizes an array to make it sum to a specified value.
 * Returns the result of the transformation <pre>
 *    x |-> x * normalizedSum / sum
 * </pre>
 * applied to each non-NaN element x of the input array, where sum is the
 * sum of the non-NaN entries in the input array.</p>
 *
 * <p>Throws IllegalArgumentException if {@code normalizedSum} is infinite
 * or NaN and ArithmeticException if the input array contains any infinite elements
 * or sums to 0</p>
 *
 * <p>Ignores (i.e., copies unchanged to the output array) NaNs in the input array.</p>
 *
 * @param values input array to be normalized
 * @param normalizedSum target sum for the normalized array
 * @return normalized array
 * @throws MathArithmeticException if the input array contains infinite elements or sums to zero
 * @throws MathIllegalArgumentException if the target sum is infinite or NaN
 * @since 2.1
 */
public static double[] normalizeArray(double[] values, double normalizedSum) {
    if (Double.isInfinite(normalizedSum)) {
        throw new MathIllegalArgumentException(LocalizedFormats.NORMALIZE_INFINITE);
    }
    if (Double.isNaN(normalizedSum)) {
        throw new MathIllegalArgumentException(LocalizedFormats.NORMALIZE_NAN);
    }
    double sum = 0d;
    final int len = values.length;
    double[] out = new double[len];
    for (int i = 0; i < len; i++) {
        if (Double.isInfinite(values[i])) {
            throw new MathIllegalArgumentException(LocalizedFormats.INFINITE_ARRAY_ELEMENT, values[i], i);
        }
        if (!Double.isNaN(values[i])) {
            sum += values[i];
        }
    }
    if (sum == 0) {
        throw new MathArithmeticException(LocalizedFormats.ARRAY_SUMS_TO_ZERO);
    }
    for (int i = 0; i < len; i++) {
        if (Double.isNaN(values[i])) {
            out[i] = Double.NaN;
        } else {
            out[i] = values[i] * normalizedSum / sum;
        }
    }
    return out;
}