Package cc.redberry.transformation.fraction

Source Code of cc.redberry.transformation.fraction.MultiplyFractions

/*
* 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.fraction;

import java.util.ArrayList;
import java.util.List;
import cc.redberry.core.tensor.Fraction;
import cc.redberry.core.tensor.Product;
import cc.redberry.core.tensor.Tensor;
import cc.redberry.core.tensor.TensorIterator;
import cc.redberry.transformation.Transformation;

/**
*
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
* @author Konstantin Kiselev
*/
public class MultiplyFractions implements Transformation {
    @Override
    public Tensor transform(Tensor tensor) {
        if (!(tensor instanceof Product))
            return tensor;
        List<Tensor> denominators = new ArrayList<>();
        TensorIterator iterator = tensor.iterator();
        Tensor current;
        while (iterator.hasNext()) {
            current = iterator.next();
            if (current instanceof Fraction) {
                Fraction frac = (Fraction) current;
                iterator.set(frac.getNumerator());
                denominators.add(frac.getDenominator());
            }
        }
        if (denominators.isEmpty())
            return tensor;
        //TODO run with RemmoveOneFromProduct transformation
        return new Fraction(tensor, denominators.size() == 1 ? denominators.get(0) : new Product(denominators));

    }
}
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