Result for 56BF351AA01B6950178BF5349AFEF6C811878F53

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/changelog.Debian.ppc64el.gz
FileSize280
MD5B8A71BA4EB5CE9B80420BE7CD67D7164
SHA-156BF351AA01B6950178BF5349AFEF6C811878F53
SHA-256EAB8E9A2ED67963F14D4D9A5B2110B3F2642457CC426A3B640790A66C3F0C624
SSDEEP6:XtyUkEXf1j4CLJURlBAlcni+QQ/RNdnN8FBB+XGPk2idGjOoZy/Nwmq/:XMUTXtjPCDBAgi+t3dnyB+X7GjOoZylG
TLSHT1CCD02B1C180D7DBAC8DA57F519C559B900EAB43335C0D576B74D59410F60666C1CEFC9
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
FileSize274328
MD5794B29AFEDCB2364D59B63338CD887D7
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+b1
SHA-1E74645CE4F1C547168356FA26A87AEC18200B30B
SHA-256393A6A36D88F4659FFF15D3F6E33643ECF055025F4C1DD26C0B7751470ADA2C1
Key Value
FileSize221948
MD5D1E0473B7FB411807D3AA5B1487C6521
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+b1
SHA-177BAA32A1345FA97A5EBD6D7B7BD5F07E8FA82A8
SHA-256DEE9D0FF10B4C3B8AAAF589A9D59AD314D2C6B873DEDFF320DFEC261EC6EAB00