A Quantitative Understanding of Pattern Matching [article]

Sandra Alves and Delia Kesner and Daniel Ventura
2019 arXiv   pre-print
This paper shows that the recent approach to quantitative typing systems for programming languages can be extended to pattern matching features. Indeed, we define two resource aware type systems, named U and E, for a lambda-calculus equipped with pairs for both patterns and terms. Our typing systems borrow some basic ideas from [BKRDR15], which characterises (head) normalisation in a qualitative way, in the sense that typability and normalisation coincide. But in contrast to [BKRDR15], our
more » ... ic) systems also provides quantitative information about the dynamics of the calculus. Indeed, system U provides upper bounds for the length of normalisation sequences plus the size of their corresponding normal forms, while system E, which can be seen as a refinement of system U, produces exact bounds for each of them. This is achieved by means of a non-idempotent intersection type system equipped with different technical tools. First of all, we use product types to type pairs, instead of the disjoint unions in [BKRDR15], thus avoiding an overlap between "being a pair" and "being duplicable", resulting in an essential tool to reason about quantitativity. Secondly, typing sequents in system E are decorated with tuples of integers, which provide quantitative information about normalisation sequences, notably time (c.f. length) and space (c.f. size). Another key tool of system E is that the type system distinguishes between consuming (contributing to time) and persistent (contributing to space) constructors. Moreover, the time resource information is remarkably refined, because it discriminates between different kinds of reduction steps performed during evaluation, so that beta reduction, substitution and matching steps are counted separately.
arXiv:1912.01914v1 fatcat:ga3evrsoofccvepaqmoxr365ve