AbstractFloatMatrixRel.java
package org.djunits.value.vfloat.matrix;
import java.io.Serializable;
import org.djunits.unit.Unit;
import org.djunits.value.Relative;
import org.djunits.value.StorageType;
import org.djunits.value.ValueException;
import org.djunits.value.vfloat.scalar.AbstractFloatScalarRel;
/**
* Relative Immutable typed matrix.
* <p>
* Copyright (c) 2013-2018 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved. <br>
* BSD-style license. See <a href="http://djunits.org/docs/license.html">DJUNITS License</a>.
* <p>
* $LastChangedDate: 2015-09-29 14:14:28 +0200 (Tue, 29 Sep 2015) $, @version $Revision: 73 $, by $Author: pknoppers $, initial
* version Sep 5, 2015 <br>
* @author <a href="http://www.tbm.tudelft.nl/averbraeck">Alexander Verbraeck</a>
* @author <a href="http://www.tudelft.nl/pknoppers">Peter Knoppers</a>
* @param <U> the unit
* @param <R> the relative matrix type
* @param <MR> the mutable relative matrix type
* @param <S> the relative scalar type
*/
abstract class AbstractFloatMatrixRel<U extends Unit<U>, R extends AbstractFloatMatrixRel<U, R, MR, S>,
MR extends AbstractMutableFloatMatrixRel<U, R, MR, S>, S extends AbstractFloatScalarRel<U, S>>
extends AbstractFloatMatrix<U, R> implements FloatMatrixInterface<U>, Relative, Serializable
{
/** */
private static final long serialVersionUID = 20151006L;
/**
* Construct a new Relative Immutable FloatMatrix.
* @param values float[][]; the values of the entries in the new Relative Immutable FloatMatrix
* @param unit U; the unit of the new Relative Immutable FloatMatrix
* @param storageType the data type to use (e.g., DENSE or SPARSE)
* @throws ValueException when values is null
*/
AbstractFloatMatrixRel(final float[][] values, final U unit, final StorageType storageType) throws ValueException
{
super(unit, FloatMatrixData.instantiate(ensureRectangularAndNonEmpty(values), unit.getScale(), storageType));
}
/**
* Construct a new Relative Immutable FloatMatrix.
* @param values S[][]; the values of the entries in the new Relative Immutable FloatMatrix
* @param storageType the data type to use (e.g., DENSE or SPARSE)
* @throws ValueException when values has zero entries
*/
AbstractFloatMatrixRel(final S[][] values, final StorageType storageType) throws ValueException
{
super(checkUnit(values), FloatMatrixData.instantiate(values, storageType));
}
/**
* Construct a new Relative Immutable FloatMatrix.
* @param data an internal data object
* @param unit the unit
*/
AbstractFloatMatrixRel(final FloatMatrixData data, final U unit)
{
super(unit, data.copy());
}
/**
* Create a mutable version of this FloatMatrix. <br>
* The mutable version is created with a shallow copy of the data and the internal copyOnWrite flag set. The first operation
* in the mutable version that modifies the data shall trigger a deep copy of the data.
* @return MA; mutable version of this FloatMatrix
*/
public MR mutable()
{
return instantiateMutableType(getData(), getUnit());
}
/**
* Construct a new Relative Immutable FloatMatrix of the right type. Each extending class must implement this method.
* @param dmd an internal data object
* @param unit the unit
* @return M the Mutable FloatMatrix of the right type
*/
protected abstract R instantiateType(FloatMatrixData dmd, U unit);
/**
* Construct a new Relative Mutable FloatMatrix of the right type. Each extending class must implement this method.
* @param dmd an internal data object
* @param unit the unit
* @return M the Mutable FloatMatrix of the right type
*/
protected abstract MR instantiateMutableType(FloatMatrixData dmd, U unit);
/**
* Construct a new Relative Immutable FloatScalar of the right type. Each extending class must implement this method.
* @param value the value
* @param unit the unit
* @return S the Immutable FloatScalar of the right type
*/
protected abstract S instantiateScalar(float value, U unit);
/** {@inheritDoc} */
@Override
@SuppressWarnings("checkstyle:designforextension")
public final S get(final int row, final int column) throws ValueException
{
checkIndex(row, column);
return instantiateScalar(getInUnit(row, column, getUnit()), getUnit());
}
/**********************************************************************************/
/**************************** TYPED CALCULATION METHODS ***************************/
/**********************************************************************************/
/**
* Add a Relative value to this Relative value for a matrix or matrix. The addition is done value by value and store the
* result in a new Relative value. If both operands are sparse, the result is a sparse matrix or matrix, otherwise the
* result is a dense matrix or matrix.
* @param rel the right operand
* @return the addition of this matrix and the operand
* @throws ValueException in case this matrix or matrix and the operand have a different size
*/
public final R plus(final R rel) throws ValueException
{
return instantiateType(this.getData().plus(rel.getData()), getUnit());
}
/**
* Subtract a Relative value from this Relative value for a matrix or matrix. The subtraction is done value by value and
* store the result in a new Relative value. If both operands are sparse, the result is a sparse matrix or matrix, otherwise
* the result is a dense matrix or matrix.
* @param rel the right operand
* @return the subtraction of this matrix and the operand
* @throws ValueException in case this matrix or matrix and the operand have a different size
*/
public final R minus(final R rel) throws ValueException
{
return instantiateType(this.getData().minus(rel.getData()), getUnit());
}
/**
* Multiply a Relative value with this Relative value for a matrix or matrix. The multiplication is done value by value and
* store the result in a new Relative value. If both operands are dense, the result is a dense matrix or matrix, otherwise
* the result is a sparse matrix or matrix.
* @param rel the right operand
* @return the multiplication of this matrix and the operand
* @throws ValueException in case this matrix or matrix and the operand have a different size
*/
public final R times(final R rel) throws ValueException
{
return instantiateType(this.getData().times(rel.getData()), getUnit());
}
/**
* Divide this Relative value by a Relative value for a matrix or matrix. The division is done value by value and store the
* result in a new Relative value. If both operands are dense, the result is a dense matrix or matrix, otherwise the result
* is a sparse matrix or matrix.
* @param rel the right operand
* @return the division of this matrix and the operand
* @throws ValueException in case this matrix or matrix and the operand have a different size
*/
public final R divide(final R rel) throws ValueException
{
return instantiateType(this.getData().divide(rel.getData()), getUnit());
}
/* ============================================================================================ */
/* ============================= STATIC CONSTRUCTOR HELP METHODS ============================== */
/* ============================================================================================ */
/**
* Check that a provided array can be used to create some descendant of a FloatMatrix, and return the Unit.
* @param dsArray the array to check and get the unit for
* @param <U> the unit
* @param <S> the scalar type
* @return the unit of the object
* @throws ValueException when the array is null, has length equal to 0, or has first entry with length equal to 0
*/
static <U extends Unit<U>, S extends AbstractFloatScalarRel<U, S>> U checkUnit(final S[][] dsArray) throws ValueException
{
ensureRectangularAndNonEmpty(dsArray);
return dsArray[0][0].getUnit();
}
/**
* Check that a 2D array of FloatScalar<?> is rectangular; i.e. all rows have the same length and is non empty.
* @param values FloatScalar<?>[][]; the 2D array to check
* @param <U> the unit
* @param <S> the scalar type
* @throws ValueException when values is not rectangular, or contains no data
*/
protected static <U extends Unit<U>,
S extends AbstractFloatScalarRel<U, S>> void ensureRectangularAndNonEmpty(final S[][] values) throws ValueException
{
if (null == values)
{
throw new ValueException("Cannot create a FloatVector or MutableFloatVector from an empty array of FloatScalar");
}
if (0 == values.length || 0 == values[0].length)
{
throw new ValueException("Creating FloatVector or MutableFloatVector: "
+ "Cannot determine unit for FloatMatrix from an empty array of FloatScalar");
}
for (int row = values.length; --row >= 1;)
{
if (values[0].length != values[row].length)
{
throw new ValueException("Creating FloatVector or MutableFloatVector: Lengths of rows are not all the same");
}
}
}
}