Java NoDataException类代码示例

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
public BilinearInterpolatingFunction(double[] xval, double[] yval, double[][] fval)
throws DimensionMismatchException, NoDataException, NonMonotonicSequenceException {
	if (xval.length == 0 || yval.length == 0 || fval.length == 0) {
		throw new NoDataException();
	}
	if (xval.length != fval.length) {
		throw new DimensionMismatchException(xval.length, fval.length);
	}
	if (yval.length != fval[0].length) {
		throw new DimensionMismatchException(yval.length, fval[0].length);
	}

	MathArrays.checkOrder(xval);
	MathArrays.checkOrder(yval);
	
	this.xval = xval;
	this.yval = yval;
	this.fval = fval;
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
@Override
public BilinearInterpolatingFunction interpolate(double[] xval, double[] yval, double[][] fval)
throws NoDataException, DimensionMismatchException, NonMonotonicSequenceException {
	if (xval.length == 0 || yval.length == 0 || fval.length == 0) {
           throw new NoDataException();
       }
       if (xval.length != fval.length) {
           throw new DimensionMismatchException(xval.length, fval.length);
       }
       if (yval.length != fval[0].length) {
       	throw new DimensionMismatchException(yval.length, fval[0].length);
       }

       MathArrays.checkOrder(xval);
       MathArrays.checkOrder(yval);
       
	return new BilinearInterpolatingFunction(xval, yval, fval);
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Computes the quantization error.
 * The quantization error is the average distance between a feature vector
 * and its "best matching unit" (closest neuron).
 *
 * @param data Feature vectors.
 * @param neurons List of neurons to scan.
 * @param distance Distance function.
 * @return the error.
 * @throws NoDataException if {@code data} is empty.
 */
public static double computeQuantizationError(Iterable<double[]> data,
                                              Iterable<Neuron> neurons,
                                              DistanceMeasure distance) {
    double d = 0;
    int count = 0;
    for (double[] f : data) {
        ++count;
        d += distance.compute(f, findBest(f, neurons, distance).getFeatures());
    }

    if (count == 0) {
        throw new NoDataException();
    }

    return d / count;
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Computes the topographic error.
 * The topographic error is the proportion of data for which first and
 * second best matching units are not adjacent in the map.
 *
 * @param data Feature vectors.
 * @param net Network.
 * @param distance Distance function.
 * @return the error.
 * @throws NoDataException if {@code data} is empty.
 */
public static double computeTopographicError(Iterable<double[]> data,
                                             Network net,
                                             DistanceMeasure distance) {
    int notAdjacentCount = 0;
    int count = 0;
    for (double[] f : data) {
        ++count;
        final Pair<Neuron, Neuron> p = findBestAndSecondBest(f, net, distance);
        if (!net.getNeighbours(p.getFirst()).contains(p.getSecond())) {
            // Increment count if first and second best matching units
            // are not neighbours.
            ++notAdjacentCount;
        }
    }

    if (count == 0) {
        throw new NoDataException();
    }

    return ((double) notAdjacentCount) / count;
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Ensures that the provided arrays fulfills the assumptions.
 *
 * @param x first sample
 * @param y second sample
 * @throws NullArgumentException if {@code x} or {@code y} are {@code null}.
 * @throws NoDataException if {@code x} or {@code y} are zero-length.
 * @throws DimensionMismatchException if {@code x} and {@code y} do not
 * have the same length.
 */
private void ensureDataConformance(final double[] x, final double[] y)
    throws NullArgumentException, NoDataException, DimensionMismatchException {

    if (x == null ||
        y == null) {
            throw new NullArgumentException();
    }
    if (x.length == 0 ||
        y.length == 0) {
        throw new NoDataException();
    }
    if (y.length != x.length) {
        throw new DimensionMismatchException(y.length, x.length);
    }
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Calculates |z[i]| for all i
 *
 * @param z sample
 * @return |z|
 * @throws NullArgumentException if {@code z} is {@code null}
 * @throws NoDataException if {@code z} is zero-length.
 */
private double[] calculateAbsoluteDifferences(final double[] z)
    throws NullArgumentException, NoDataException {

    if (z == null) {
        throw new NullArgumentException();
    }

    if (z.length == 0) {
        throw new NoDataException();
    }

    final double[] zAbs = new double[z.length];

    for (int i = 0; i < z.length; ++i) {
        zAbs[i] = FastMath.abs(z[i]);
    }

    return zAbs;
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Check if submatrix ranges indices are valid.
 * Rows and columns are indicated counting from 0 to n-1.
 *
 * @param m Matrix.
 * @param selectedRows Array of row indices.
 * @param selectedColumns Array of column indices.
 * @throws NullArgumentException if {@code selectedRows} or
 * {@code selectedColumns} are {@code null}.
 * @throws NoDataException if the row or column selections are empty (zero
 * length).
 * @throws OutOfRangeException if row or column selections are not valid.
 */
public static void checkSubMatrixIndex(final AnyMatrix m,
                                       final int[] selectedRows,
                                       final int[] selectedColumns) {
    if (selectedRows == null) {
        throw new NullArgumentException();
    }
    if (selectedColumns == null) {
        throw new NullArgumentException();
    }
    if (selectedRows.length == 0) {
        throw new NoDataException(LocalizedFormats.EMPTY_SELECTED_ROW_INDEX_ARRAY);
    }
    if (selectedColumns.length == 0) {
        throw new NoDataException(LocalizedFormats.EMPTY_SELECTED_COLUMN_INDEX_ARRAY);
    }

    for (final int row : selectedRows) {
        checkRowIndex(m, row);
    }
    for (final int column : selectedColumns) {
        checkColumnIndex(m, column);
    }
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Returns the sum of the (signed) differences between corresponding elements of the
 * input arrays -- i.e., sum(sample1[i] - sample2[i]).
 *
 * @param sample1  the first array
 * @param sample2  the second array
 * @return sum of paired differences
 * @throws DimensionMismatchException if the arrays do not have the same
 * (positive) length.
 * @throws NoDataException if the sample arrays are empty.
 */
public static double sumDifference(final double[] sample1, final double[] sample2)
throws DimensionMismatchException, NoDataException {
    int n = sample1.length;
    if (n != sample2.length) {
        throw new DimensionMismatchException(n, sample2.length);
    }
    if (n <= 0) {
        throw new NoDataException(LocalizedFormats.INSUFFICIENT_DIMENSION);
    }
    double result = 0;
    for (int i = 0; i < n; i++) {
        result += sample1[i] - sample2[i];
    }
    return result;
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Check if submatrix ranges indices are valid.
 * Rows and columns are indicated counting from 0 to n-1.
 *
 * @param selectedRows Array of row indices.
 * @param selectedColumns Array of column indices.
 * @throws NullArgumentException if the arrays are {@code null}.
 * @throws NoDataException if the arrays have zero length.
 * @throws OutOfRangeException if row or column selections are not valid.
 */
protected void checkSubMatrixIndex(final int[] selectedRows, final int[] selectedColumns) {
    if (selectedRows == null ||
        selectedColumns == null) {
        throw new NullArgumentException();
    }
    if (selectedRows.length == 0 ||
        selectedColumns.length == 0) {
        throw new NoDataException();
    }

    for (final int row : selectedRows) {
        checkRowIndex(row);
    }
    for (final int column : selectedColumns) {
        checkColumnIndex(column);
    }
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Builds a step function from a list of arguments and the corresponding
 * values. Specifically, returns the function h(x) defined by <pre><code>
 * h(x) = y[0] for all x &lt; x[1]
 *        y[1] for x[1] &le; x &lt; x[2]
 *        ...
 *        y[y.length - 1] for x &ge; x[x.length - 1]
 * </code></pre>
 * The value of {@code x[0]} is ignored, but it must be strictly less than
 * {@code x[1]}.
 *
 * @param x Domain values where the function changes value.
 * @param y Values of the function.
 * @throws NonMonotonicSequenceException
 * if the {@code x} array is not sorted in strictly increasing order.
 * @throws NullArgumentException if {@code x} or {@code y} are {@code null}.
 * @throws NoDataException if {@code x} or {@code y} are zero-length.
 * @throws DimensionMismatchException if {@code x} and {@code y} do not
 * have the same length.
 */
public StepFunction(double[] x,
                    double[] y)
    throws NullArgumentException, NoDataException,
           DimensionMismatchException, NonMonotonicSequenceException {
    if (x == null ||
        y == null) {
        throw new NullArgumentException();
    }
    if (x.length == 0 ||
        y.length == 0) {
        throw new NoDataException();
    }
    if (y.length != x.length) {
        throw new DimensionMismatchException(y.length, x.length);
    }
    MathArrays.checkOrder(x);

    abscissa = MathArrays.copyOf(x);
    ordinate = MathArrays.copyOf(y);
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/** {@inheritDoc}
 * @since 3.1
 * @throws NoDataException if {@code coefficients} is empty.
 * @throws NullArgumentException if {@code coefficients} is {@code null}.
 */
public DerivativeStructure value(final DerivativeStructure t)
    throws NullArgumentException, NoDataException {
    MathUtils.checkNotNull(coefficients);
    int n = coefficients.length;
    if (n == 0) {
        throw new NoDataException(LocalizedFormats.EMPTY_POLYNOMIALS_COEFFICIENTS_ARRAY);
    }
    DerivativeStructure result =
            new DerivativeStructure(t.getFreeParameters(), t.getOrder(), coefficients[n - 1]);
    for (int j = n - 2; j >= 0; j--) {
        result = result.multiply(t).add(coefficients[j]);
    }
    return result;
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Returns the coefficients of the derivative of the polynomial with the given coefficients.
 *
 * @param coefficients Coefficients of the polynomial to differentiate.
 * @return the coefficients of the derivative or {@code null} if coefficients has length 1.
 * @throws NoDataException if {@code coefficients} is empty.
 * @throws NullArgumentException if {@code coefficients} is {@code null}.
 */
protected static double[] differentiate(double[] coefficients)
    throws NullArgumentException, NoDataException {
    MathUtils.checkNotNull(coefficients);
    int n = coefficients.length;
    if (n == 0) {
        throw new NoDataException(LocalizedFormats.EMPTY_POLYNOMIALS_COEFFICIENTS_ARRAY);
    }
    if (n == 1) {
        return new double[]{0};
    }
    double[] result = new double[n - 1];
    for (int i = n - 1; i > 0; i--) {
        result[i - 1] = i * coefficients[i];
    }
    return result;
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * {@inheritDoc}
 */
public PiecewiseBicubicSplineInterpolatingFunction interpolate( final double[] xval,
                                                                final double[] yval,
                                                                final double[][] fval)
    throws DimensionMismatchException,
           NullArgumentException,
           NoDataException,
           NonMonotonicSequenceException {
    if ( xval == null ||
         yval == null ||
         fval == null ||
         fval[0] == null ) {
        throw new NullArgumentException();
    }

    if ( xval.length == 0 ||
         yval.length == 0 ||
         fval.length == 0 ) {
        throw new NoDataException();
    }

    MathArrays.checkOrder(xval);
    MathArrays.checkOrder(yval);

    return new PiecewiseBicubicSplineInterpolatingFunction( xval, yval, fval );
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Create an instance with a custom imaginary character, a custom number
 * format for the real part, and a custom number format for the imaginary
 * part.
 *
 * @param imaginaryCharacter The custom imaginary character.
 * @param realFormat the custom format for the real part.
 * @param imaginaryFormat the custom format for the imaginary part.
 * @throws NullArgumentException if {@code imaginaryCharacter} is
 * {@code null}.
 * @throws NoDataException if {@code imaginaryCharacter} is an
 * empty string.
 * @throws NullArgumentException if {@code imaginaryFormat} is {@code null}.
 * @throws NullArgumentException if {@code realFormat} is {@code null}.
 */
public ComplexFormat(String imaginaryCharacter,
                     NumberFormat realFormat,
                     NumberFormat imaginaryFormat)
    throws NullArgumentException, NoDataException {
    if (imaginaryCharacter == null) {
        throw new NullArgumentException();
    }
    if (imaginaryCharacter.length() == 0) {
        throw new NoDataException();
    }
    if (imaginaryFormat == null) {
        throw new NullArgumentException(LocalizedFormats.IMAGINARY_FORMAT);
    }
    if (realFormat == null) {
        throw new NullArgumentException(LocalizedFormats.REAL_FORMAT);
    }

    this.imaginaryCharacter = imaginaryCharacter;
    this.imaginaryFormat = imaginaryFormat;
    this.realFormat = realFormat;
}
 

import org.apache.commons.math3.exception.NoDataException; //导入依赖的package包/类
/**
 * Create a new {@code FieldMatrix<T>} using the input array as the underlying
 * data array.
 * <p>If an array is built specially in order to be embedded in a
 * {@code FieldMatrix<T>} and not used directly, the {@code copyArray} may be
 * set to {@code false}. This will prevent the copying and improve
 * performance as no new array will be built and no data will be copied.</p>
 *
 * @param field Field to which the elements belong.
 * @param d Data for the new matrix.
 * @param copyArray Whether to copy or reference the input array.
 * @throws DimensionMismatchException if {@code d} is not rectangular.
 * @throws NoDataException if there are not at least one row and one column.
 * @throws NullArgumentException if {@code d} is {@code null}.
 * @see #Array2DRowFieldMatrix(FieldElement[][])
 */
public Array2DRowFieldMatrix(final Field<T> field, final T[][] d, final boolean copyArray)
    throws DimensionMismatchException, NoDataException, NullArgumentException {
    super(field);
    if (copyArray) {
        copyIn(d);
    } else {
        MathUtils.checkNotNull(d);
        final int nRows = d.length;
        if (nRows == 0) {
            throw new NoDataException(LocalizedFormats.AT_LEAST_ONE_ROW);
        }
        final int nCols = d[0].length;
        if (nCols == 0) {
            throw new NoDataException(LocalizedFormats.AT_LEAST_ONE_COLUMN);
        }
        for (int r = 1; r < nRows; r++) {
            if (d[r].length != nCols) {
                throw new DimensionMismatchException(nCols, d[r].length);
            }
        }
        data = d;
    }
}