Result for 1A1F13F3DEE2C1734D4D45616F47F171B3258BE0

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/buildinfo_mipsel.gz
FileSize2941
MD50FB7E833D39A145C8045C24926E40BE8
SHA-11A1F13F3DEE2C1734D4D45616F47F171B3258BE0
SHA-256F74EB29FDBC6D7C3235A1BF0EEBB8C49EB303B40BF5303E7D375030AE8F2A56E
SSDEEP48:XculBDbjuAQog+22MD/XtaNryRJfcQmS+e05Op/weSkznyiRg7ZuDvu+IhRHXME5:Pyor22Mjt0yA9c05OpoCnyiR4EDWhR3T
TLSHT161512D0C93B05E5545D9FF381B8F084E06651511E3E1E87D8814EA917BB67F21A704A9
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
FileSize235016
MD51D4A61AA6306233B97535FEA700272CB
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-199C01E1CDD323DE72AA2D3924480CE4DF1AF2704
SHA-256EB63BECCAEA09BF320279409157C25CA12B4248938489B95D8FCFCF66D514D5D
Key Value
FileSize267328
MD55519B25E932124D710D46CA419AEDC4F
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-134E1567B8572D2C6EBF3AF8ABD403E97565905ED
SHA-2560844791FF587A1014AFB74A12C9A689361C3A86596BA87B5CC9E9A07D1DBCFD4