The Ultimate Conditional Syntax

Functional programming languages typically support expressive pattern-matching syntax allowing programmers to write concise and type-safe code, especially appropriate for manipulating algebraic data types. Many features have been proposed to enhance the expressiveness of stock pattern-matching syntax, such as pattern bindings, pattern alternatives (a.k.a. disjunction), pattern conjunction, view patterns, pattern guards, pattern synonyms, active patterns, ‘if-let’ patterns, multi-way if-expressions, etc. In this paper, we propose a new pattern-matching syntax that is both more expressive and (we argue) simpler and more readable than previous alternatives. Our syntax supports parallel and nested matches interleaved with computations and intermediate bindings. This is achieved through a form of nested multi-way if-expressions with a condition-splitting mechanism to factor common conditional prefixes as well as a binding technique we call conditional pattern flowing . We motivate this new syntax with many examples in the setting of MLscript, a new ML-family programming language. We describe a straightforward desugaring pass from our rich source syntax into a minimal core syntax that only supports flat patterns and has an intuitive small-step semantics. We then provide a translation from the core syntax into a normalized syntax without backtracking, which is more amenable to coverage checking and compilation, and formally prove that our translation is semantics-preserving. We view this work as a step towards rethinking pattern matching to make it more powerful and natural to use. Our syntax can easily be integrated, in part or in whole, into existing as well as future programming language designs.

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Publication Details

Journal
Proceedings of the ACM on Programming Languages
Published
2024-10-08
DOI
https://doi.org/10.1145/3689746
Citations
1
Primary Topic
Logic, programming, and type systems
Type
article
Field-Weighted Citation Impact
0.35
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article

The Ultimate Conditional Syntax

Lionel Parreaux, Luyu Cheng
1 citations
Proceedings of the ACM on Programming Languages
Logic, programming, and type systems
0.35
article

The Ultimate Conditional Syntax

Lionel Parreaux, Luyu Cheng
article en
1 citations

Abstract

Functional programming languages typically support expressive pattern-matching syntax allowing programmers to write concise and type-safe code, especially appropriate for manipulating algebraic data types. Many features have been proposed to enhance the expressiveness of stock pattern-matching syntax, such as pattern bindings, pattern alternatives (a.k.a. disjunction), pattern conjunction, view patterns, pattern guards, pattern synonyms, active patterns, ‘if-let’ patterns, multi-way if-expressions, etc. In this paper, we propose a new pattern-matching syntax that is both more expressive and (we argue) simpler and more readable than previous alternatives. Our syntax supports parallel and nested matches interleaved with computations and intermediate bindings. This is achieved through a form of nested multi-way if-expressions with a condition-splitting mechanism to factor common conditional prefixes as well as a binding technique we call conditional pattern flowing . We motivate this new syntax with many examples in the setting of MLscript, a new ML-family programming language. We describe a straightforward desugaring pass from our rich source syntax into a minimal core syntax that only supports flat patterns and has an intuitive small-step semantics. We then provide a translation from the core syntax into a normalized syntax without backtracking, which is more amenable to coverage checking and compilation, and formally prove that our translation is semantics-preserving. We view this work as a step towards rethinking pattern matching to make it more powerful and natural to use. Our syntax can easily be integrated, in part or in whole, into existing as well as future programming language designs.

Proceedings of the ACM on Programming LanguagesVol. 8(OOPSLA2)
Hong Kong University of Science and Technology (HK)
Quality Education
Openalex Percentile: Top 33%
Logic, programming, and type systems
0.35
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