gnu: Add ghc-psqueues.
* gnu/packages/haskell.scm (ghc-psqueues): New variable. Signed-off-by: Ludovic Courtès <ludo@gnu.org>
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@ -8395,4 +8395,69 @@ are the bottleneck of web servers.")
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bytestrings and their hexademical representation.")
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(license license:bsd-3)))
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(define-public ghc-psqueues
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(package
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(name "ghc-psqueues")
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(version "0.2.2.3")
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(source
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(origin
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(method url-fetch)
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(uri (string-append "https://hackage.haskell.org/package/"
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"psqueues-" version "/"
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"psqueues-" version ".tar.gz"))
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(sha256
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(base32
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"1dd6xv1wjxj1xinx155b14hijw8fafrg4096srzdzj7xyqq7qxbd"))))
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(build-system haskell-build-system)
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(inputs
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`(("ghc-hashable" ,ghc-hashable)))
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(native-inputs
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`(("ghc-hunit" ,ghc-hunit)
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("ghc-quickcheck" ,ghc-quickcheck)
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("ghc-tagged" ,ghc-tagged)
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("ghc-test-framework" ,ghc-test-framework)
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("ghc-test-framework-hunit" ,ghc-test-framework-hunit)
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("ghc-test-framework-quickcheck2" ,ghc-test-framework-quickcheck2)))
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(home-page "https://github.com/bttr/psqueues")
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(synopsis "Pure priority search queues")
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(description "The psqueues package provides
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@uref{http://en.wikipedia.org/wiki/Priority_queue, Priority Search Queues} in
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three different flavors:
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@itemize
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@item @code{OrdPSQ k p v}, which uses the @code{Ord k} instance to provide
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fast insertion, deletion and lookup. This implementation is based on Ralf
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Hinze's @uref{http://citeseer.ist.psu.edu/hinze01simple.html, A Simple
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Implementation Technique for Priority Search Queues}.
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Hence, it is similar to the @uref{http://hackage.haskell.org/package/PSQueue,
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PSQueue} library, although it is considerably faster and provides a slightly
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different API.
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@item @code{IntPSQ p v} is a far more efficient implementation. It fixes the
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key type to @code{Int} and uses a
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@code{http://en.wikipedia.org/wiki/Radix_tree, radix tree}
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(like @code{IntMap}) with an additional min-heap property.
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@item @code{HashPSQ k p v} is a fairly straightforward extension
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of @code{IntPSQ}: it simply uses the keys' hashes as indices in the
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@code{IntPSQ}. If there are any hash collisions, it uses an
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@code{OrdPSQ} to resolve those. The performance of this implementation
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is comparable to that of @code{IntPSQ}, but it is more widely
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applicable since the keys are not restricted to @code{Int},
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but rather to any @code{Hashable} datatype.
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@end itemize
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Each of the three implementations provides the same API, so they can
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be used interchangeably.
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Typical applications of Priority Search Queues include:
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@itemize
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@item Caches, and more specifically LRU Caches;
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@item Schedulers;
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@item Pathfinding algorithms, such as Dijkstra's and A*.
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@end itemize")
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(license license:bsd-3)))
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;;; haskell.scm ends here
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