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Proceedings of the ACM on Programming Languages
Article . 2022 . Peer-reviewed
License: CC BY
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Practical generic programming over a universe of native datatypes

Authors: Lucas Escot; Jesper Cockx;

Practical generic programming over a universe of native datatypes

Abstract

Datatype-generic programming makes it possible to define a construction once and apply it to a large class of datatypes. It is often used to avoid code duplication in languages that encourage the definition of custom datatypes, in particular state-of-the-art dependently typed languages where one can have many variants of the same datatype with different type-level invariants. In addition to giving access to familiar programming constructions for free, datatype-generic programming in the dependently typed setting also allows for the construction of generic proofs. However, the current interfaces available for this purpose are needlessly hard to use or are limited in the range of datatypes they handle. In this paper, we describe the design of a library for safe and user-friendly datatype-generic programming in the Agda language. Generic constructions in our library are regular Agda functions over a broad universe of datatypes, yet they can be specialized to native Agda datatypes with a simple one-liner. Furthermore, we provide building blocks so that library designers can too define their own datatype-generic constructions.

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Keywords

005, Generic programming, Dependent types

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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Published in a Diamond OA journal