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/*
 * 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.tensor.Product;
import cc.redberry.core.tensor.Tensor;
import cc.redberry.core.tensor.TensorNumber;

/**
 *
 * @author Dmitry Bolotin
 * @author Stanislav Poslavsky
 */
public abstract class 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]);
    }
}




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