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Type classes in functional logic programming

Authors: Enrique Martin-Martin;

Type classes in functional logic programming

Abstract

Type classes provide a clean, modular and elegant way of writing overloaded functions. Functional logic programming languages (FLP in short) like Toy or Curry have adopted the Damas-Milner type system, so it seems natural to adopt also type classes in FLP. However, type classes has been barely introduced in FLP. A reason for this lack of success is that the usual translation of type classes using dictionaries presents some problems in FLP like the absence of expected answers due to a bad interaction of dictionaries with the call-time choice semantics for non-determinism adopted in FLP systems.In this paper we present a type-passing translation of type classes based on type-indexed functions and type witnesses that is well-typed with respect to a new liberal type system recently proposed for FLP. We argue the suitability of this translation for FLP because it improves the dictionary-based one in three aspects. First, it obtains programs which run as fast or faster---with an speedup from 1.05 to 2.30 in our experiments. Second, it solves the mentioned problem of missing answers. Finally, the proposed translation generates shorter and simpler programs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average