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PureScript's row polymorphism lets functions accept any record containing at least the fields they need — no interfaces or wrappers. A worked example, the Cons/Union machinery, and the pitfalls.
Learn how PureScript’s row‑polymorphic extensible records let you accept varied record shapes without duplicating types, with a concrete example and trade‑offs.
Learn how PureScript's row polymorphism enables flexible, structural typing for records, allowing functions to operate on data structures without rigid type definitions.
PureScript employs row polymorphism to enable structural typing, allowing functions to operate on records containing a minimum set of required labels while preserving the remaining fields via row variables. A challenge arises when integrating these open rows within recursive type definitions. While row unification typically handles the inference of additiona
PureScript utilizes row polymorphism to enable functions to operate on records containing a minimum set of required fields. This flexibility allows for record extension and restriction, ensuring type safety when merging data structures without relying on nominal inheritance. While the type system effectively manages these row constraints during compilation,
Goal Investigate how row‑polymorphic record selection in PureScript 0.15 can lead to ambiguous type errors when the same field label appears in multiple modules, and how this interacts with orphan instance handling introduced in 0.13. Constraints • Row‑polymorphic records rely on type‑class based field selection rather than name lookup. • Modules may export
PureScript implements row polymorphism to allow functions to operate on records containing at least a specific set of fields. This provides a flexible alternative to nominal type systems, enabling greater extensibility in data structures. When transitioning a codebase from a nominal approach to one utilizing row polymorphism, there is a design boundary regar
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