Result for B12E9AE69D45EE36BA7B920B498BC587C7EA607D

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/buildinfo_s390x.gz
FileSize2970
MD5025248D0F600BFBF7D6EE9B6B334B850
SHA-1B12E9AE69D45EE36BA7B920B498BC587C7EA607D
SHA-2562A2DF6C21BC99CEEC0A19F6C7BA4A986290053DE8533AE88D9A71E1F7FC2AB28
SSDEEP48:Xx7H27pH/OkN3wp1djItzu4ocESUmsLKaoneJDnlG34U7yi+Ti7rorSElAXkW4c+:hW7n96dcC4oEaoeJhK7cTSrorSEl0PDS
TLSHT12A515D8B42850F2E97DCF3A5E74B2227DF3DD17C88295F4A46E2B1E598C8E914851918
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize360588
MD5A3814DCB46D49241A05F816EE8432A84
PackageDescriptionPure priority search queues This package provides Priority Search Queues in three different flavors. . * OrdPSQ k p v, which uses the Ord k instance to provide fast insertion, deletion and lookup. This implementation is based on Ralf Hinze's "A Simple Implementation Technique for Priority Search Queues". Hence, it is similar to the PSQueue library, although it is considerably faster and provides a slightly different API. . * IntPSQ p v is a far more efficient implementation. It fixes the key type to Int and uses a radix tree (like IntMap) with an additional min-heap property. . * HashPSQ k p v is a fairly straightforward extension of IntPSQ: it simply uses the keys' hashes as indices in the IntPSQ. If there are any hash collisions, it uses an OrdPSQ to resolve those. The performance of this implementation is comparable to that of IntPSQ, but it is more widely applicable since the keys are not restricted to Int, but rather to any Hashable datatype. . Each of the three implementations provides the same API, so they can be used interchangeably. . Typical applications of Priority Search Queues include: . * Caches, and more specifically LRU Caches; . * Schedulers; . * Pathfinding algorithms, such as Dijkstra's and A*. . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-psqueues-dev
PackageSectionhaskell
PackageVersion0.2.7.2-2+b2
SHA-1959D0382BE43D29B52426FF7FCBE41AC698E7EBC
SHA-2563ED5339BA9A750D6561EF3C8A56FFF8A271E85AC94E709E1E8A6DC894FC36C76
Key Value
FileSize297724
MD53075CC9C3D96E95CFA2AD3EE7A7C83B6
PackageDescriptionPure priority search queues; profiling libraries This package provides Priority Search Queues in three different flavors. . * OrdPSQ k p v, which uses the Ord k instance to provide fast insertion, deletion and lookup. This implementation is based on Ralf Hinze's "A Simple Implementation Technique for Priority Search Queues". Hence, it is similar to the PSQueue library, although it is considerably faster and provides a slightly different API. . * IntPSQ p v is a far more efficient implementation. It fixes the key type to Int and uses a radix tree (like IntMap) with an additional min-heap property. . * HashPSQ k p v is a fairly straightforward extension of IntPSQ: it simply uses the keys' hashes as indices in the IntPSQ. If there are any hash collisions, it uses an OrdPSQ to resolve those. The performance of this implementation is comparable to that of IntPSQ, but it is more widely applicable since the keys are not restricted to Int, but rather to any Hashable datatype. . Each of the three implementations provides the same API, so they can be used interchangeably. . Typical applications of Priority Search Queues include: . * Caches, and more specifically LRU Caches; . * Schedulers; . * Pathfinding algorithms, such as Dijkstra's and A*. . This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-psqueues-prof
PackageSectionhaskell
PackageVersion0.2.7.2-2+b2
SHA-1230CEEDED5FC1391A759B44ADB7D11C8FBC50C04
SHA-256A61B188F1EB6881C59F5753F426561B5E87C5ADAA794E553829287801AA60279