Package cc.redberry.core.transformations

Source Code of cc.redberry.core.transformations.CollectNonScalarsTransformation

/*
* 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.core.transformations;

import cc.redberry.core.tensor.Sum;
import cc.redberry.core.tensor.SumBuilderSplitingScalars;
import cc.redberry.core.tensor.Tensor;
import cc.redberry.core.tensor.iterator.FromChildToParentIterator;

/**
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
* @since 1.1
*/
public final class CollectNonScalarsTransformation implements Transformation {
    public static final CollectNonScalarsTransformation COLLECT_NON_SCALARS
            = new CollectNonScalarsTransformation();

    private CollectNonScalarsTransformation() {
    }

    @Override
    public Tensor transform(Tensor t) {
        return collectNonScalars(t);
    }

    public static Tensor collectNonScalars(Tensor t) {
        FromChildToParentIterator iterator = new FromChildToParentIterator(t);
        Tensor c;
        while ((c = iterator.next()) != null)
            if (c instanceof Sum) {
                //TODO add check whether we need to do this transformation
                SumBuilderSplitingScalars sbss = new SumBuilderSplitingScalars(c.size());
                for (Tensor tt : c)
                    sbss.put(tt);
                iterator.set(sbss.build());
            }
        return iterator.result();
    }
}
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