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

package org.tensorics.core.resolve.resolvers;

import java.lang.reflect.TypeVariable;

import org.tensorics.core.tree.domain.Expression;

import com.google.common.reflect.TypeToken;

/**
 * This class should be used as base class for any resolver. It provides the correct functionality to resolve the type
 * of the expression from the generic parameters of the Reolver interface.
 * 
 * @author kfuchsbe
 * @param  the type of the resolved value of the expression to resolve
 * @param  the type of the expression to resolve, which itself has to result in R
 */
public abstract class AbstractResolver> implements Resolver {

    private static final TypeVariable EXPRESSION_TYPE_PARAMETER = Resolver.class.getTypeParameters()[1];

    private final TypeToken> typeToken = new TypeToken>(getClass()) {
        private static final long serialVersionUID = 1L;
    };

    @SuppressWarnings("unchecked")
    private final TypeToken operationTypeToken = (TypeToken) typeToken.resolveType(EXPRESSION_TYPE_PARAMETER);

    @SuppressWarnings("unchecked")
    @Override
    public final Class getExpressionClass() {
        return (Class) operationTypeToken.getRawType();
    }

}




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