
cc.redberry.transformation.collect.ScalarsSplitCriteria Maven / Gradle / Ivy
/*
* Redberry: symbolic tensor computations.
*
* Copyright (c) 2010-2012:
* Stanislav Poslavsky
* Bolotin Dmitriy
*
* This file is part of Redberry.
*
* Redberry is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Redberry is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Redberry. If not, see .
*/
package cc.redberry.transformation.collect;
import cc.redberry.core.context.CC;
import cc.redberry.core.tensor.*;
/**
*
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
*/
public class ScalarsSplitCriteria implements SplitCriteria {
public final static ScalarsSplitCriteria INSTANCE = new ScalarsSplitCriteria();
private ScalarsSplitCriteria() {
}
@Override
public boolean factorOut(Tensor tensor) {
return (tensor instanceof TensorNumber);
}
@Override
public ScalarsSplit split(Tensor tensor) {
if (tensor instanceof Product) {
TensorIterator it = tensor.iterator();
Tensor current;
TensorNumber factored = TensorNumber.createONE();
while (it.hasNext()) {
current = it.next();
if (factorOut(current)) {
factored.multiply((TensorNumber) current);
it.remove();
}
}
if (((Product) tensor).isEmpty())
return new ScalarsSplit(factored);
Tensor term = tensor.equivalent();
term.setParent(CC.getRootParentTensor());
return new ScalarsSplit(factored, term);
}
if (tensor instanceof SimpleTensor || tensor instanceof AbstractScalarFunction) {
Tensor term = tensor.equivalent();
term.setParent(CC.getRootParentTensor());
return new ScalarsSplit(TensorNumber.createONE(), term);
}
if (tensor instanceof TensorNumber)
return new ScalarsSplit((TensorNumber) tensor.clone());
throw new UnsupportedOperationException("Not supported yet.");
}
}
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