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

package org.tensorics.core.resolve.options;

import java.util.List;

import org.tensorics.core.resolve.resolvers.Resolver;
import org.tensorics.core.tree.domain.Expression;

/**
 * This strategy defines how resolvers are selected, if several possible candidates are available for a given
 * expression. The most primitive choice could e.g. be simply picking the first one. However, in the future (especially
 * for distributed analysis) many more intelligent ways to choose could be thought of. Amongst them e.g. priorization
 * mechanisms, resource awareness or even machine learning techniques (pick the one which was the fasted last time)
 * could be implemented.
 * 
 * @author kfuchsbe
 */
public interface ResolverSelectionStrategy extends ResolvingOption {

    /**
     * Has to select one resolver from the given list.
     * 
     * @param resolvers the resolvers to choose from
     * @return the resolver which shall be used
     */
    > Resolver selectResolver(List> resolvers);

}