Result for 80A5CF79493596029285C083939B7E8D0506C2BA

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/changelog.Debian.arm64.gz
FileSize280
MD58B49E069186E82E0DCF178C82E7659CB
SHA-180A5CF79493596029285C083939B7E8D0506C2BA
SHA-256901FB5A6B635DBDE839C01803B9401FF869C66E78A32B20B91C9B831A050EB3F
SSDEEP6:XtlL2+vPZOh7uu/3fVjmsyG4cKvo3sWln5MSAj:XLPYh7uu/3fVjmZCsWln54j
TLSHT152D0EB23402AE192AC0903BA4F20CAAA8328D8B8A308549380A441701AE080224E23BE
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
FileSize221916
MD535C95A6FB5340993F13C230B2D75440F
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-10AAEFB202911604762CE1C5E46A2FB2424B280A3
SHA-2564A722689AA2544E856A41C36AC467941B61F81AAEB8FC9B074044B675055CD7A
Key Value
FileSize254984
MD554FB742E51245B0178041BDA5FE0A3B0
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-18BEDA97355D2FF93F7BC2FE64C8A5DCA1758AB73
SHA-256D632330B2186903BFAB396AE7303225B5D22E671EA7D3EA5577DDCB0C181E952