Result for 69C1C61B477079DC9AF5AC62CBE0C310FF8E3C53

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/changelog.Debian.mips.gz
FileSize278
MD5C75B58AC2AD6EA30E4D00C48A36775B5
SHA-169C1C61B477079DC9AF5AC62CBE0C310FF8E3C53
SHA-256BB5BBFF815792F84874664050F2C4DD3CB47EC2FE8FE2372FF17B771E86FAF01
SSDEEP6:XtTd4wFOnABcsSTM4hQ+1h9donolAaxtR5Gn4HX:XP4bABcsSTjhQ+1hGT6tnGn4HX
TLSHT1EED02BED363824E8E82938A8B08A3AA3AC47C3937012819C4164554A1AFDD586AB6766
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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
FileSize220328
MD5C965331D5CEFC06565C5C25ADB4B701C
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
PackageVersion0.2.7.0-2+b2
SHA-1B704C4158B57E1FDB418B9D92553223600BD857C
SHA-25694A518C1B88AD3530B5905D6986E7FD26E8A03BCA9D0E1D1744F6C41BD95BD75
Key Value
FileSize236716
MD55072A280042CD0D4C9A8CA07D6C8E561
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
PackageVersion0.2.7.0-2+b2
SHA-1B6E18024FF753A9AB9BDA08C22027A209014B237
SHA-256783E030E18AF4CFB0D16FDF2C9D94D7C0502201EE4271EB98D2F84F780C3ECAA