/*
* 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.core.parser;
import cc.redberry.core.tensor.Tensor;
import cc.redberry.core.transformations.Transformation;
/**
*
* @author Dmitry Bolotin
* @author Stanislav Poslavsky
*/
public final class ParseManager {
private final Parser parser;
public ParseManager(Parser parser) {
this.parser = parser;
}
public Tensor parse(String expression) {
return parser.parse(expression).toTensor();
}
public Tensor parse(String expression, Transformation[] tensorPreprocessors, ParseNodeTransformer[] nodesPreprocessors) {
ParseNode node = parser.parse(expression);
for (ParseNodeTransformer tr : nodesPreprocessors)
node = tr.transform(node);
Tensor t = node.toTensor();
for (Transformation tr : tensorPreprocessors)
t = tr.transform(t);
return t;
}
public Tensor parse(String expression, ParseNodeTransformer... nodesPreprocessors) {
return parse(expression, new Transformation[0], nodesPreprocessors);
}
}