/*
* 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.collect;
import cc.redberry.core.tensor.Product;
import cc.redberry.core.tensor.Tensor;
import cc.redberry.core.tensor.TensorNumber;
/**
*
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
*/
public abstract class Split<T extends Split> {
protected Tensor term;
public abstract boolean canMerge(T split);
public abstract void mergeFrom(T split);
public abstract Tensor tensorEquvivalent();
protected Tensor pairProduct(Tensor f, Tensor t) {
Tensor[] arr = new Tensor[]{f.equivalent(), t.equivalent()};
for (int i = 0; i < 2; ++i)
if (arr[i] instanceof TensorNumber && ((TensorNumber) arr[i]).isOne())
return arr[1 - i];
return new Product(arr[0], arr[1]);
}
}