Result for EFACDAE4A838C788FC35D89E81D7A1FCE434C092

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/buildinfo_amd64.gz
FileSize2991
MD506439F5B8C594E8A55FC07024124B9DD
SHA-1EFACDAE4A838C788FC35D89E81D7A1FCE434C092
SHA-25696E1582D78E406DC44B24551EF42C797367381DECAEF396578CB4CCEEB6E8C24
SSDEEP48:XYSMmb0nvw1ZkDI7auZQBhQPPgwZINzcGu/Sgi4ThXg2RPGxdJ+WXo0GxFdHL:cmeY1ZkDweBhQ9SzYSgV5g2ZA+WXotjd
TLSHT185514C91345C4DDCA3EB91E1E59B9679BBFC0DB631368080EEBB0484604718DE08372E
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
FileSize180920
MD590B365DE2B775DAF8CD2D924F484A44A
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-11B0012BDB14F165E34F776FF0E45B77723F5D9E5
SHA-25603C488F4A064B00C032AFDED87BF9E29AC2B27E0A610E9B75BA2DB5FB115877A