/*
* 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.collect;
import cc.redberry.core.tensor.Sum;
import cc.redberry.core.tensor.Tensor;
import cc.redberry.core.tensor.testing.TTest;
import cc.redberry.transformation.Transformation;
import cc.redberry.transformation.Transformer;
/**
*
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
*/
public class CollectFactory {
public static Transformation createCollectEqualTerms() {
return new CollectTerms(EqualsSplitCriteria.INSTANCE);
}
public static Transformation createCollectAllEqualTerms() {
return CollectEquals.INSTANCE;
}
public static Transformation createCollectScalars() {
return new CollectTerms(ScalarsSplitCriteria.INSTANCE);
}
public static Transformation createCollectFullScalars() {
return new CollectTerms(FullScalarsSplitCriteria.INSTANCE);
}
public static Transformation createCollectByPattern(String collectPattern) {
return new PatternCollectManager(CollectPatternParser.parse(collectPattern));
}
public static Transformation createCollectAllScalars() {
return new Transformer(CollectAllScalars.INSTANCE);
}
private static class CollectAllScalars implements Transformation {
public static final CollectAllScalars INSTANCE = new CollectAllScalars();
@Override
public Tensor transform(Tensor tensor) {
if (tensor instanceof Sum && TTest.testIsSymbol(tensor))
return createCollectScalars().transform(tensor);
return tensor;
}
}
}