Package cc.redberry.transformation.contractions

Source Code of cc.redberry.transformation.contractions.UncontractIndicesAbstract

/*
* 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.contractions;

import java.util.ArrayList;
import java.util.List;
import cc.redberry.core.indexgenerator.IndexGenerator;
import cc.redberry.core.tensor.Product;
import cc.redberry.core.tensor.Tensor;
import cc.redberry.transformation.Transformation;
import cc.redberry.core.utils.IntArrayList;

/**
*
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
*/
public abstract class UncontractIndicesAbstract implements Transformation {
    protected final List<Tensor> kroneckers = new ArrayList<>();
    protected final IntArrayList checked = new IntArrayList();
    final int[] forbidenSortedNames;
    IndexGenerator indexGenerator;

    public UncontractIndicesAbstract() {
        this.forbidenSortedNames = new int[0];
    }

    public UncontractIndicesAbstract(int[] forbidenSortedNames) {
        this.forbidenSortedNames = forbidenSortedNames;
    }

    public List<Tensor> getKroneckers() {
        return kroneckers;
    }

    @Override
    public Tensor transform(Tensor tensor) {
        Product result = new Product();
        result.add(renameIndicesAndBuidKroneckers(tensor));
        result.add(kroneckers);
        return result.equivalent();
    }

    public abstract Tensor renameIndicesAndBuidKroneckers(Tensor tensor);

    protected abstract IndexGenerator createIndexGenerator(Tensor tensor);
}
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