/*
* Redberry: symbolic tensor computations.
*
* Copyright (c) 2010-2012:
* Stanislav Poslavsky <stvlpos@mail.ru>
* Bolotin Dmitriy <bolotin.dmitriy@gmail.com>
*
* 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 <http://www.gnu.org/licenses/>.
*/
package cc.redberry.transformation.numbers;
import cc.redberry.core.tensor.MultiTensor;
import cc.redberry.core.tensor.Tensor;
import cc.redberry.core.tensor.TensorIterator;
import cc.redberry.core.tensor.TensorNumber;
import cc.redberry.transformation.Transformation;
/**
*
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
*/
public abstract class AbstractCollectNumbers implements Transformation {
protected abstract Class<? extends MultiTensor> getMultiClass();
protected abstract void multiOperation(TensorNumber first, TensorNumber second);
protected abstract Tensor equvivalent(TensorNumber number, MultiTensor t);
@Override
public Tensor transform(Tensor tensor) {
if (tensor.getClass() != getMultiClass())
return tensor;
MultiTensor multiTensor = (MultiTensor) tensor;
TensorIterator it = multiTensor.iterator();
Tensor current;
TensorNumber number = null;
while (it.hasNext()) {
current = it.next();
if (current instanceof TensorNumber)
if (number == null)
number = (TensorNumber) current;
else {
multiOperation(number, (TensorNumber) current);
it.remove();
}
}
// if (number != null)
// multiTensor.addFirst(number);
if (number == null)
return tensor;
return equvivalent(number, multiTensor);
}
}