The streams package
Various Haskell 2010 stream comonads.
Data.Stream.Branching provides an "f-Branching Stream" comonad, aka the cofree comonad, or generalized rose tree.
data Stream f a = a :< f (Stream a)
Data.Stream.Future provides a coinductive anti-causal stream, or non-empty ZipList. The comonad provides access to only the tail of the stream. Like a conventional ZipList, this is not a monad.
data Future a = Last a | a :< Future a
Data.Stream.Future.Skew provides a non-empty skew-binary random-access-list with the semantics of Data.Stream.Future. As with Data.Stream.Future this stream is not a Monad, since the Applicative instance zips streams of potentially differing lengths. The random-access-list structure provides a number of operations logarithmic access time, but makes Data.Stream.Future.Skew.cons less productive. Where applicable Data.Stream.Infinite.Skew may be more efficient, due to a lazier and more efficient Applicative instance.
Data.Stream.NonEmpty provides a non-empty list comonad where the Applicative and Monad work like those of the [a]. Being non-empty, it trades in the Alternative and Monoid instances of [a] for weaker append-based FunctorAlt and Semigroup instances while becoming a member of Comonad and ComonadApply. Acting like a list, the semantics of <*> and <.> take a cross-product of membership from both NonEmpty lists rather than zipping like a Future
data NonEmpty a = a :| [a]
Data.Stream.Infinite provides a coinductive infinite anti-causal stream. The Comonad provides access to the tail of the stream and the Applicative zips streams together. Unlike Future, infinite stream form a Monad. The monad diagonalizes the Stream, which is consistent with the behavior of the Applicative, and the view of a Stream as a isomorphic to the reader monad from the natural numbers. Being infinite in length, there is no Alternative instance, but instead the FunctorAlt instance provides access to the Semigroup of interleaving streams.
data Stream a = a :< Stream a
Data.Stream.Infinite.Skew provides an infinite skew-binary random-access-list with the semantics of Data.Stream.Infinite Since every stream is infinite, the Applicative instance can be considerably less strict than the corresponding instance for Data.Stream.Future.Skew and performs asymptotically better.
Data.Stream.Infinite.Functional.Zipper provides a bi-infinite sequence, represented as a pure function with an accumulating parameter added to optimize moving the current focus.
data Zipper a = !Integer :~ (Integer -> a)
Data.Stream.Supply provides a comonadic supply of unique values, which are generated impurely as the tree is explored.
Changes since 0.5: * Data.Stream.Supply added Changes since 0.1:
A number of strictness issues with NonEmpty were fixed
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|Versions||0.1.1, 0.2, 0.3, 0.3.1, 0.4, 0.5.0, 0.5.1, 0.5.1.1, 0.5.1.2, 0.6.0, 0.6.0.1, 0.6.1.1, 0.6.1.2, 0.6.3, 0.7.0, 0.7.1, 0.7.2, 0.8.0, 0.8.0.1, 0.8.0.2, 0.8.0.3, 0.8.0.4, 0.8.1, 0.8.2, 3.0, 126.96.36.199, 3.0.1, 188.8.131.52, 3.1, 3.1.1, 3.2, 3.2.1, 3.3|
|Dependencies||base (>=4 && <4.4), comonad (==0.9.*), distributive (==0.1.*), functor-apply (==0.10.*), semigroups (>=0.3.4 && <0.4) [details]|
|Copyright||Copyright 2011 Edward Kmett Copyright 2010 Tony Morris, Oliver Taylor, Eelis van der Weegen Copyright 2007-2010 Wouter Swierstra, Bas van Dijk|
|Author||Edward A. Kmett|
|Maintainer||Edward A. Kmett <email@example.com>|
|Source repository||head: git clone git://github.com/ekmett/streams.git|
|Uploaded||Sat Jan 29 11:41:29 UTC 2011 by EdwardKmett|
|Distributions||LTSHaskell:3.3, NixOS:3.3, Stackage:3.3, Tumbleweed:3.3|
|Downloads||6601 total (24 in the last 30 days)|
|Status||Docs uploaded by user
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