Document Type

Conference Proceeding

Publication Date

10-8-2024

Published In

Proceedings Of The ACM On Programming Languages

Abstract

Functions in functional languages have a single elimination form—application—and cannot be compared, hashed, or subjected to other non-application operations. These operations can be approximated via defunctionalization: functions are replaced with first-order data and calls are replaced with invocations of a dispatch function. Operations such as comparison may then be implemented for these first-order data to approximate e.g. deduplication of continuations in algorithms such as unbounded searches. Unfortunately, this encoding is tedious, imposes a maintenance burden, and obfuscates the affected code. We introduce an alternative in intensional functions, a language feature which supports the definition of non-application operations in terms of a function’s definition site and closure-captured values. First-order data operations may be defined on intensional functions without burdensome code transformation. We give an operational semantics and type system and prove their formal properties. We further define intensional monads, whose Kleisli arrows are intensional functions, enabling monadic values to be similarly subjected to additional operations.

Conference

OOPSLA 2024

Conference Dates

October 23-25, 2024

Conference Location

Pasadena, CA

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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