Result for 4364470CA5D51E66C5694DB8C20FF8946C696A96

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/changelog.Debian.s390x.gz
FileSize274
MD565AE5C4CC0768DB3A46F7B5D66D9B7D8
SHA-14364470CA5D51E66C5694DB8C20FF8946C696A96
SHA-256CDAF15C355574DE20525EE8696D6168AB71B7B4902099121C22A5B4D427EB5A2
SSDEEP6:Xt31wC6/av2iMxUSDiljRz3cJh37IKYT7Nj6fWb6RWn:XPwC6/av2iMqwixsP37fqNj0WkW
TLSHT186D02B10C756342A52201B6944010072CA4047A88331C8E7D437DA89EB3AFDAA9802B4
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