/*
* 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.core.parser;
import java.util.List;
import cc.redberry.core.tensor.Product;
import cc.redberry.core.tensor.Sum;
import cc.redberry.core.tensor.Tensor;
import cc.redberry.core.tensor.TensorNumber;
/**
*
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
*/
public class ParserSum extends ParserOperator {
public static final ParserSum INSTANCE = new ParserSum();
private final static int parserID = 1000;
private ParserSum() {
super('+', '-');
}
@Override
protected Tensor compile(List<Tensor> tensors) {
if (tensors.isEmpty())
throw new ParserException("Sum parser get zero size array in complile(List<Tensor> tensors).");
Tensor result = new Sum(tensors);
//consistent check
result.getIndices();
return result;
}
@Override
protected void inverseOperation(Tensor tensor, List<Tensor> subTensors) {
subTensors.add(new Product(TensorNumber.createMINUSONE(), tensor));
}
@Override
public int getPriority() {
return parserID;
}
}