Elaborating dependent (co)pattern matching: No pattern left behind
Journal article, 2020

In a dependently typed language, we can guarantee correctness of our programmes by providing formal proofs. To check them, the typechecker elaborates these programs and proofs into a low-level core language. However, this core language is by nature hard to understand by mere humans, so how can we know we proved the right thing? This question occurs in particular for dependent copattern matching, a powerful language construct for writing programmes and proofs by dependent case analysis and mixed induction/coinduction. A definition by copattern matching consists of a list of clauses that are elaborated to a case tree, which can be further translated to primitive eliminators. In previous work this second step has received a lot of attention, but the first step has been mostly ignored so far. We present an algorithm elaborating definitions by dependent copattern matching to a core language with inductive data types, coinductive record types, an identity type, and constants defined by well-typed case trees. To ensure correctness, we prove that elaboration preserves the first-match semantics of the user clauses. Based on this theoretical work, we reimplement the algorithm used by Agda to check left-hand sides of definitions by pattern matching. The new implementation is at the same time more general and less complex, and fixes a number of bugs and usability issues with the old version. Thus, we take another step towards the formally verified implementation of a practical dependently typed language.

Author

Jesper Cockx

Chalmers, Computer Science and Engineering (Chalmers), Computing Science (Chalmers)

Delft University of Technology

Andreas Abel

University of Gothenburg

Journal of Functional Programming

0956-7968 (ISSN) 1469-7653 (eISSN)

Vol. 30 2 e2

Subject Categories

Language Technology (Computational Linguistics)

General Language Studies and Linguistics

Specific Languages

DOI

10.1017/S0956796819000182

More information

Latest update

2/12/2020