fcf-composite: Type-level computation for composite using first-class-families.

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Type-level computation for composite using first-class-families.


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Versions [RSS] 0.1.0.0, 0.1.1.0
Change log ChangeLog.md
Dependencies base (>=4.7 && <5), composite-base (>=0.7.0.0 && <0.8), fcf-containers (>=0.5.0 && <0.7), first-class-families (>=0.8.0.0 && <0.9), vinyl (>=0.13.0 && <0.14) [details]
License MIT
Copyright Daniel Firth
Author Daniel Firth
Maintainer dan.firth@homotopic.tech
Revised Revision 1 made by locallycompact at 2021-08-27T10:14:01Z
Category Composite, Types
Source repo head: git clone https://gitlab.homotopic.tech/haskell/fcf-composite
Uploaded by locallycompact at 2021-08-26T07:32:09Z
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Downloads 331 total (14 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2021-08-26 [all 1 reports]

Readme for fcf-composite-0.1.1.0

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fcf-composite

first-class-families support for composite records. This gives bidirection between a composite style [s :-> a] and MapC s a from fcf-containers.

Using this we can compute record types via the Map operations in Fcf.

data Difference :: [Type] -> [Type] -> Exp [Type]

type instance Eval (Difference xs ys) = Eval (ToComposite =<< Fcf.Data.MapC.Difference (Eval (FromComposite xs)) (Eval (FromComposite ys)))

type A = ["a" :-> Int, "b" :-> String, "c" :-> ()]

type B = ["a" :-> Int, "c" :-> ()]

myRec :: Record (Eval (Difference A B))
myRec = "foo" :*: RNil -- checks!

Note: The ordering of the fields is predictable, but not obvious and commutations matter, so you may need to use rcast liberally.