Package cc.redberry.transformation.collect

Source Code of cc.redberry.transformation.collect.CollecctEqualsInputPort

/*
* 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;

/**
*
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
*/
public class CollecctEqualsInputPort implements CollectInputPort {
    private final CollectInputPortImpl symbols = new CollectInputPortImpl(ScalarsSplitCriteria.INSTANCE);
    private final CollectInputPortImpl equals = new CollectInputPortImpl(EqualsSplitCriteria.INSTANCE);
    private boolean closed = false;

    @Override
    public void put(Tensor tensor) {
        if (closed)
            throw new RuntimeException("Port is closed.");
        if (tensor == null) {
            closed = true;
            return;
        }
        if (tensor instanceof Sum) {
            for (Tensor t : tensor)
                put(t);
            return;
        }
        if (TTest.testIsSymbol(tensor))
            symbols.put(tensor);
        else
            equals.put(tensor);
    }

    public final Tensor result() {
        symbols.put(null);
        equals.put(null);
        if (!symbols.initialized())
            return equals.result();
        if (!equals.initialized())
            return symbols.result();
        Tensor s1 = symbols.result();
        Tensor s2 = equals.result();
        return new Sum(s1, s2);
    }

    @Override
    public CollectInputPort create() {
        return new CollecctEqualsInputPort();
    }

    @Override
    public boolean initialized() {
        return symbols.initialized() || equals.initialized();
    }
}
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