A Relational Solver for Constraint-based Type Inference

Eridan Domoratskiy, Dmitry Boulytchev
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Abstract

We present a miniKanren-based type inferencer for an educational programming language with first-class functions, S-expressions, and pattern-matching. The language itself is untyped which adds a certain specificity to the problem and requires the employment of techniques conventionally used in implicit/gradual typing settings. The presence of polymorphic and recursive types poses a certain challenge when implementing the inferencer in miniKanren and requires a number of tricks, optimizations, and extensions to be used; we report on those as well.
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基于约束的类型推断关系求解器
我们为一种具有一流函数、S 表达式和模式匹配的教育编程语言提出了一种基于微型坎伦的类型推断器。该语言本身是无类型的,这给问题增加了一定的特殊性,并要求使用隐式/渐进式类型设置中常用的技术。多态类型和递归类型的存在给在 miniKanren 中实现推理器带来了一定的挑战,需要使用一些技巧、优化和扩展;我们也将对此进行报告。
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