Result for 4F045E1AD30BB7D472C2CB8E1860C2DDE1DBB21E

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/buildinfo_ppc64el.gz
FileSize2996
MD5B8F7E829A4EF9EF26ED7B06A42C0BEE1
SHA-14F045E1AD30BB7D472C2CB8E1860C2DDE1DBB21E
SHA-2561A0E4AF76A9F2FD7EF9BD0314B9D9E032D77274B205F6D2B7D1046E8C8194555
SSDEEP48:XfLre65Ln8v8f8QdwJv/uxiu/tKuLX004XyBk04EAFWRYKzXcx3MWB2HGTYvGCez:v3e65L8v28Qwv/TEZE04CBkFEAFRKTch
TLSHT1F9514A4E2A002428E444B44517F98A95EB4B68A82F8F3EFB64D627C6A0DD0251F2CB9D
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