By Atze Dijkstra, S. Doaitse Swierstra (auth.), Varmo Vene, Tarmo Uustalu (eds.)
This educational ebook offers 9 conscientiously revised lectures given on the fifth overseas tuition on practical Programming, AFP 2004, in Tartu, Estonia in August 2004.
The e-book offers the next 9, rigorously cross-reviewed chapters, written by means of prime experts within the box: Typing Haskell with an characteristic Grammar, Programming with Arrows, Epigram: functional Programming with based kinds, Combining Datatypes and results, GEC: a toolkit for ordinary speedy Prototyping, A practical Shell that Operates on Typed and Compiled functions, Declarative Debugging with Buddha, Server-Side net Programming in WASH, and Refactoring practical Programs.
Read or Download Advanced Functional Programming: 5th International School, AFP 2004, Tartu, Estonia, August 14 – 21, 2004, Revised Lectures PDF
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Additional info for Advanced Functional Programming: 5th International School, AFP 2004, Tartu, Estonia, August 14 – 21, 2004, Revised Lectures
F = λx → ... in ... Syntactically the signature and value deﬁnition for an identiﬁer need not be deﬁned adjacently or in any speciﬁc order. In Haskell dependency analysis determines that f and g form a so-called binding group, which contains declarations that have to be subjected to type analysis together. However, due to the obligatory presence of the type signatures in this version of EH it is possible to ﬁrst gather all signatures and only then type check the value deﬁnitions. Therefore, for this version of EH it is not really an issue as we always require a signature to be deﬁned.
An AG description serves its purpose best by showing how it really is implemented. Used in tandem they strengthen each other. 5 This is not an ideal solution to display combined fragments. A special purpose editor would probably do a better job of browsing textually separated but logically related pieces of code. Typing Haskell with an Attribute Grammar 53 An implementation by necessity imposes additional choices, in order to make a typing rule into an algorithmic solution. For example, our AG description preserves the following invariant: – A resulting type has all known constraints applied to it, here ty.
Map snd $ sl Substituting a substitution is non-commutative as constraints s1 in s1 s2 take precedence over s2 . To make this even clearer all constraints for type variables in s1 are removed from s2 , even though for a list implementation this would not be required. Computing constraints. The only source of constraints is the check ﬁtsIn which determines whether one type can ﬂow into another one. The previous version of EH could only do one thing in case a type could not ﬁt in another: report an error.