Result for 3C69D8DD81E54D01954D086B35B11FDC3C26F319

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/buildinfo_armhf.gz
FileSize3090
MD51CCE04C8F15287EDED0023D5C27040FB
SHA-13C69D8DD81E54D01954D086B35B11FDC3C26F319
SHA-256741F7BDC3ACC6BE70A32D1B9B44E3F0E03D6E55B7E235517FAC028311389BB5F
SSDEEP48:X8zmSt8Q9FVosWZMmc7bjxX3+Uuym51PtIY9qmj/xMixgFfT6YyMo:Mzmw8Q9UsWumWX8UwfVIkjJML6n
TLSHT1C9517C71DD8D2C98E0E853A094EBDDE3B8F397C25D2601396A5043E7C268042A65D3CD
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
FileSize237416
MD5FD390BF509AD637232D2D5C8F8DFFBBF
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-1794331E9F5DF5F01A600987659D6942ECA804F7B
SHA-256268B62C6C77738A4C9A8666638E0E0F59FADAC224A8C9775B88B96AC06644271
Key Value
FileSize281996
MD5DC5060426EE98DB4E89696A9A5B26706
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-1E2AECD6140521E8498D636220150EE9CC1A7F3D5
SHA-2565005354F86AC9E4B89F890FDA4F75D67389994DEE5271ED69A2B6B84BC013D22