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Tensorics is a java framework which uses a tensor as a central object. A tensor represents a set of values placed in an N-dimensional space. Wherever you are tempted to use maps of maps, a tensor might be a good choice ;-) Tensorics provides methods to create, transform and performing calculations with those tensors.

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// @formatter:off
/*******************************************************************************
 * This file is part of tensorics.
 * 

* Copyright (c) 2008-2011, CERN. All rights reserved. *

* Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at *

* http://www.apache.org/licenses/LICENSE-2.0 *

* Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. ******************************************************************************/ // @formatter:on package org.tensorics.core.resolve.resolvers; import org.tensorics.core.expressions.BinaryPredicateExpression; import org.tensorics.core.tree.domain.ResolvingContext; /** * A resolver that takes a predicate whose two operands are resolved and resolves it into a result. * * @param the input type of the expression * @author caguiler */ public class BinaryPredicateResolver extends AbstractResolver> { @Override public boolean canResolve(BinaryPredicateExpression expression, ResolvingContext context) { return context.resolves(expression.getLeft()) && context.resolves(expression.getRight()); } @Override public Boolean resolve(BinaryPredicateExpression expression, ResolvingContext context) { T left = context.resolvedValueOf(expression.getLeft()); T right = context.resolvedValueOf(expression.getRight()); return expression.getPredicate().test(left, right); } }





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