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We present a principled theoretical framework for dealing with union types, and show its work in practice on JSON data structures. The framework poses a union type inference as a learning problem from multiple examples. The categorical framework is generic, and easily extensible.
FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Programming Languages, type inference, typelike, functional programming, union types, Programming Languages (cs.PL), Logic in Computer Science (cs.LO)
FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Programming Languages, type inference, typelike, functional programming, union types, Programming Languages (cs.PL), Logic in Computer Science (cs.LO)
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