🤖 AI Summary
This work addresses the problem of scope extrusion that arises when metaprogramming interacts with effect handlers, often leading to the generation of ill-scoped code. While existing static type systems face practical usability and implementation challenges, dynamic checks lack a solid theoretical foundation. To bridge this gap, the paper presents the first formalization of a dynamic scope extrusion check, introducing the calculus λ⟨⟨op⟩⟩ to precisely model the issue. It proposes a novel “Cause-for-Concern” dynamic checking mechanism that preserves the benefits of prior dynamic approaches while incorporating a refined environmental classifier to statically prevent extrusion. Theoretical analysis establishes the correctness of this method independent of any concrete implementation, and a comparison with purely static techniques highlights the expressive advantages and inherent trade-offs of hybrid static–dynamic strategies.
📝 Abstract
Metaprogramming and effect handlers interact in unexpected, and sometimes undesirable, ways. One example is scope extrusion: the generation of ill-scoped code. Scope extrusion can either be preemptively prevented, via static type systems, or retroactively detected, via dynamic checks. Static type systems exist in theory, but struggle with a range of implementation and usability problems in practice. In contrast, dynamic checks exist in practice (e.g. in MetaOCaml), but are understudied in theory. Designers of metalanguages are thus given little guidance regarding the design and implementation of checks. We present the first formal study of dynamic scope extrusion checks, introducing a calculus (λ⟨⟨op⟩⟩) for describing and evaluating checks. Further, we introduce a novel dynamic check — the “Cause-for-Concern” check — which we prove correct, characterise without reference to its implementation, and argue combines the advantages of existing dynamic checks. Finally, we extend our framework with refined environment classifiers, which statically prevent scope extrusion, and compare their expressivity with the dynamic checks.