Contextual Typing

Bidirectional typing is a simple, lightweight approach to type inference that propagates known type information during typing, and can scale up to many different type systems and features. It typically only requires a reasonable amount of annotations and eliminates the need for many obvious annotations. Nonetheless the power of inference is still limited, and complications arise in the presence of more complex features. In this paper we present a generalization of bidirectional typing called contextual typing . In contextual typing not only known type information is propagated during typing, but also other known information about the surrounding context of a term. This information can be of various forms, such as other terms or record labels. Due to this richer notion of contextual information, less annotations are needed, while the approach remains lightweight and scalable. For type systems with subtyping, contextual typing subsumption is also more expressive than subsumption with bidirectional typing, since partially known contextual information can be exploited. To aid specifying type systems with contextual typing, we introduce Q uantitative T ype A ssignment S ystems (QTASs). A QTAS quantifies the amount of type information that a term needs in order to type check using counters. Thus, a counter in a QTAS generalizes modes in traditional bidirectional typing, which can only model an all (checking mode) or nothing (inference mode) approach. QTASs enable precise guidelines for annotatability of contextual type systems formalized as a theorem. We illustrate contextual typing first on a simply typed lambda calculus, and then on a richer calculus with subtyping, intersection types, records and overloading. All the metatheory is formalized in the Agda theorem prover.

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Publication Details

Journal
Proceedings of the ACM on Programming Languages
Published
2024-08-15
DOI
https://doi.org/10.1145/3674655
Citations
1
Primary Topic
Logic, programming, and type systems
Type
article
Field-Weighted Citation Impact
0.35
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article

Contextual Typing

Bruno C. d. S. Oliveira, Xu Xue
1 citations
Proceedings of the ACM on Programming Languages
Logic, programming, and type systems
0.35
article

Contextual Typing

Bruno C. d. S. Oliveira, Xu Xue
article en
1 citations

Abstract

Bidirectional typing is a simple, lightweight approach to type inference that propagates known type information during typing, and can scale up to many different type systems and features. It typically only requires a reasonable amount of annotations and eliminates the need for many obvious annotations. Nonetheless the power of inference is still limited, and complications arise in the presence of more complex features. In this paper we present a generalization of bidirectional typing called contextual typing . In contextual typing not only known type information is propagated during typing, but also other known information about the surrounding context of a term. This information can be of various forms, such as other terms or record labels. Due to this richer notion of contextual information, less annotations are needed, while the approach remains lightweight and scalable. For type systems with subtyping, contextual typing subsumption is also more expressive than subsumption with bidirectional typing, since partially known contextual information can be exploited. To aid specifying type systems with contextual typing, we introduce Q uantitative T ype A ssignment S ystems (QTASs). A QTAS quantifies the amount of type information that a term needs in order to type check using counters. Thus, a counter in a QTAS generalizes modes in traditional bidirectional typing, which can only model an all (checking mode) or nothing (inference mode) approach. QTASs enable precise guidelines for annotatability of contextual type systems formalized as a theorem. We illustrate contextual typing first on a simply typed lambda calculus, and then on a richer calculus with subtyping, intersection types, records and overloading. All the metatheory is formalized in the Agda theorem prover.

Proceedings of the ACM on Programming LanguagesVol. 8(ICFP)
University of Hong Kong (HK)
Openalex Percentile: Top 35%
Logic, programming, and type systems
0.35
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Contextual Typing — Bruno C. d. S. Oliveira, Xu Xue · Proceedings of the ACM on Programming Languages (2024) | TGRS Research Map | TGRS