Result for 2B40BD96BD4AAB2DC8586BA1F07FA8C5A1CC6F7D

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/x86_64-linux-ghc-8.8.4/psqueues-0.2.7.2-JzlnOOug5ulET7oKxYZytW/Data/OrdPSQ/Internal.hi
FileSize125021
MD5CC7FB6F16025B9A0D645EE112929FDB4
SHA-12B40BD96BD4AAB2DC8586BA1F07FA8C5A1CC6F7D
SHA-25657879F7517BC35491F1D1C79BDBA73A506BF47E8483810F052B607E32E4230A6
SSDEEP768:0nREQs5CREuw9qIRE/RGsAgNgWWBhwPQWB6wPDWB1wPXRm+wPtR+Mw3ER+mFw3Ph:0vFooEShajTIoTIH992B92H+YiSp
TLSHT1A8C32DABFF89C102DA2809F48F36730D6B54D98489866F936519D1FCEDB78D03E41AD8
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
FileSize202708
MD591768686A1F12BFEBFD87AB45618C3A5
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-107BE3B2D410D24DC386E0A3A98DE6DEB55F45DEF
SHA-25615333DAC5DFADC1ADF71E93DCA263886CF730506EEEFC16158F1ECD1EB027ECD
Key Value
FileSize198016
MD5C22541BFA626B627AD4E1E8CD2A2034F
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibghc-psqueues-dev
PackageSectionhaskell
PackageVersion0.2.7.2-2build2
SHA-190D51CBC47DE36E9D293DB8A3B9ACE97F7F4225D
SHA-25627E67252F68A5DC29A1C424DD946A735C45CACFEFC14CE85B1968A9C0D5C594E