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High performance arbitrary precision arithmetic library
package org.apfloat.internal;
import org.apfloat.ApfloatContext;
import org.apfloat.ApfloatRuntimeException;
import org.apfloat.spi.ConvolutionStrategy;
import org.apfloat.spi.DataStorageBuilder;
import org.apfloat.spi.DataStorage;
import org.apfloat.spi.ArrayAccess;
/**
* Short convolution strategy.
* Performs a simple multiplication when the size of one operand is 1.
*
* @version 1.1
* @author Mikko Tommila
*/
public class IntShortConvolutionStrategy
extends IntBaseMath
implements ConvolutionStrategy
{
// Implementation notes:
// - Assumes that the operands have been already truncated to match resultSize (the resultSize argument is ignored)
// - This class shouldn't be converted to a single class using generics because the performance impact is noticeable
/**
* Creates a convolution strategy using the specified radix.
*
* @param radix The radix that will be used.
*/
public IntShortConvolutionStrategy(int radix)
{
super(radix);
}
public DataStorage convolute(DataStorage x, DataStorage y, long resultSize)
throws ApfloatRuntimeException
{
DataStorage shortStorage, longStorage, resultStorage;
if (x.getSize() > 1)
{
shortStorage = y;
longStorage = x;
}
else
{
shortStorage = x;
longStorage = y;
}
assert (shortStorage.getSize() == 1);
long size = longStorage.getSize() + 1;
ArrayAccess arrayAccess = shortStorage.getArray(DataStorage.READ, 0, 1);
int factor = arrayAccess.getIntData()[arrayAccess.getOffset()];
arrayAccess.close();
ApfloatContext ctx = ApfloatContext.getContext();
DataStorageBuilder dataStorageBuilder = ctx.getBuilderFactory().getDataStorageBuilder();
resultStorage = dataStorageBuilder.createDataStorage(size * 4);
resultStorage.setSize(size);
DataStorage.Iterator src = longStorage.iterator(DataStorage.READ, size - 1, 0),
dst = resultStorage.iterator(DataStorage.WRITE, size, 0);
int carry = baseMultiplyAdd(src, null, factor, 0, dst, size - 1);
dst.setInt(carry);
dst.close();
return resultStorage;
}
private static final long serialVersionUID = 7238463434254768541L;
}
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