In Edward Kmett's hybrid-vectors library, there are two main modules: Data.Vector.Hybrid
and Data.Vector.Mixed
. There's a big article written on the motivation behind the former. The latter is mentioned in passing but lacks any explanation. I'm trying to figure out what use case it is for. I've noticed two things so far:
Mixed
typeclass with Typeable
constraints. I don't understand the explanation in the haddocks, but it seems like the Typeable
constraints must be needed to recover type information or safely cast at some point.Vector
data type is parameterized over only the underlying MVector
. This is different from the Hybrid
module where it was parameterized over two vector types plus a tuple.I would appreciate any helpful insights or (even better) small examples of use cases. Thanks.
An atomic vector can only hold values of a single data type. If you put several different types in it, these get coerced to a common type.
A vector will hold an object of a single type, and only a single type.
In R a vector can not contain different types. Everything must e.g. be an integer or everything must be character etc.
cbind() function in R Language is used to combine specified Vector, Matrix or Data Frame by columns. deparse. level: This value determines how the column names generated. The default value of deparse.
It's w/in my understanding that theMixed
typesclass would enables uses of type-safety functions to be able to parse, merge and fold through a Vector rather than have a concurrent process where each vector is parsed simsimultaneously thus declare M.Vector g v M.Vector h m
in order to find a singleton point within these vectors and then using the for MVector do |Stream.length g v && Stream h m
to find a singleton within each to fold with this key key :: mergeStreamwith k d -> Stream k i -> Stream d i instance Singleton key where key = Vector.singleton[ v->(v-> MVector v m) -> MVector m] do transversewithkey g v => key.foldlwithkey g h
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