Package cc.redberry.physics.oneloopdiv

Source Code of cc.redberry.physics.oneloopdiv.NaiveSubstitution

/*
* Redberry: symbolic tensor computations.
*
* Copyright (c) 2010-2013:
*   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.physics.oneloopdiv;

import cc.redberry.core.indexmapping.IndexMappingBuffer;
import cc.redberry.core.indexmapping.IndexMappings;
import cc.redberry.core.tensor.Tensor;
import cc.redberry.core.tensor.iterator.TraverseState;
import cc.redberry.core.tensor.iterator.TreeTraverseIterator;
import cc.redberry.core.tensor.ApplyIndexMapping;
import cc.redberry.core.transformations.Transformation;

/**
*
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
*/
final class NaiveSubstitution implements Transformation {

    private final Tensor from, to;

    NaiveSubstitution(Tensor from, Tensor to) {
        this.from = from;
        this.to = to;
    }

    @Override
    public Tensor transform(Tensor tensor) {
        TreeTraverseIterator iterator = new TreeTraverseIterator(tensor);
        TraverseState state;
        Tensor current;
        while ((state = iterator.next()) != null) {
            if (state != TraverseState.Leaving)
                continue;
            current = iterator.current();
            IndexMappingBuffer buffer = IndexMappings.getFirst(from, current);
            if (buffer != null) {
                Tensor newFrom = ApplyIndexMapping.applyIndexMapping(to, buffer);
                iterator.set(newFrom);
            }
        }
        return iterator.result();
    }
}
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