Skip to main content

Embedded Pattern Matching

Haskell is a popular choice for hosting deeply embedded languages. A recurring challenge for these embeddings is how to seamlessly integrate user defined algebraic data types. In particular, one important, convenient, and expressive feature for creating and inspecting data --pattern matching-- is not directly available on embedded terms. We present a novel technique, embedded pattern matching, which enables a natural and user friendly embedding of user defined algebraic data types into the embedded language, and allows programmers to pattern match on terms in the embedded language in much the same way they would in the host language.

Partner with research

Investing in and contributing to Input Output Research means supporting one of the most rigorous and peer-reviewed blockchain R&D efforts in the world. Our work bridges academia and industry, advancing decentralization, security and scalability while creating open knowledge that benefits the entire ecosystem. Whether through funding, collaboration, or partnership, contributors play a vital role in shaping innovations that are ethical, impactful and built to endure.