Result for 8BA30C89D3AF9CCB4575A3C3B0D83125EB1917E3

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/buildinfo_armel.gz
FileSize3087
MD5D483D2DFD87448BCB4BCAD3036B1F3AC
SHA-18BA30C89D3AF9CCB4575A3C3B0D83125EB1917E3
SHA-2569A344DF827EF37B713BDFCC356FC97C0272B04E14785A5A44A7455ECC3938EEE
SSDEEP48:X8zmSt8Q9FVosWZMmc7bheeWCmBKqO+/TINGykmqoLKSZMt9cqYZYd5lTvb0G:Mzmw8Q9UsWumWs7Be+sNGyIFYZYbT
TLSHT10A514C905E61ED909BDCA30318BD66EBB872DBC0034D052673203DFB9E9CC492A9818C
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
FileSize282672
MD5EE2654F8A3368A1DE30BEDAFF1504317
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-17E54F5326D59BD2E19752680FF0035D6F5D70B67
SHA-256690AFF01B9E0A0B994E2BCAA82E2769A8BA9DC730FBA76D31173E9CF15CFEE2A
Key Value
FileSize242008
MD5994CF515C1C964A7E2AF7CA17D35A631
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-1F062034BEC8DF8DDBAE0F245BC5810387A3C9D81
SHA-2563B90365EECB87F6176E8C6D467515A61915F6CEB4BD031FBFFAB62687E6E8D2E