org.tensorics.core.resolve.options

Interface ResolverSelectionStrategy

All Superinterfaces:

Option<ResolvingOption>, ResolvingOption

All Known Implementing Classes:

TakeFirstResolverSelectionStrategy

public interface ResolverSelectionStrategy
extends ResolvingOption

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.

Method Summary

Modifier and Type	Method and Description
<R,E extends Expression<R>> Resolver<R,E>	selectResolver(java.util.List<Resolver<R,E>> resolvers) Has to select one resolver from the given list.

Methods inherited from interface org.tensorics.core.commons.options.Option

getMarkerInterface

Method Detail

selectResolver

<R,E extends Expression<R>> Resolver<R,E> selectResolver(java.util.List<Resolver<R,E>> resolvers)

Has to select one resolver from the given list.

Parameters:

resolvers - the resolvers to choose from

Returns:

the resolver which shall be used