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A Bowtie for a Beast: Overloading, Eta Expansion, and Extensible Data Types in F⋈ (Artifact)

Authors: Rioux, Nick; Huang, Xuejing; Oliveira, Bruno C. D. S.; Zdancewic, Steve;

A Bowtie for a Beast: Overloading, Eta Expansion, and Extensible Data Types in F⋈ (Artifact)

Abstract

This is the artifact for the following paper: A Bowtie for a Beast: Overloading, Eta Expansion, and Extensible Data Types in F⋈ [ POPL‘23 ] Our companion paper presents F⋈, a core language that demonstrates how unions, intersections, and overloading can all coexist with a tame merge operator. Merging values from overlapping types may be ambiguous, so disjointness relations have been introduced to rule out undesired nondeterminism and obtain a well-behaved semantics. Our design principle states that any two types can support either the deterministic merging of their values, or the ability to distinguish their values, but never both. To realize this invariant, We decompose previously studied notions of disjointness into two new, dual relations that permit the operation that best suits each pair of types. This artifact contains Coq code that formalizes certain type-level parts of the semantics of F⋈, including subtyping, dispatch, and some key properties of the two disjointness relations.

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Keywords

Subtyping, Coq

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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!
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