Result for 08B5026258EF6B07D8EBEADD769D3D4897E50E87

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/changelog.Debian.ppc64el.gz
FileSize282
MD5056A5757158B84DD344A014495C1C9A7
SHA-108B5026258EF6B07D8EBEADD769D3D4897E50E87
SHA-256740CD307C1CB7DE128DA547006E825BB448E2DE75AD6CAA311623359D6DA6F92
SSDEEP6:XtLLUi53v7rrkfg0YbK9EwZk1JjQfG8KVn32Ph0A5sJKTHxH8Qx1/:XxImegjKOw+TOGTaCjJGHxH8e
TLSHT17CD0EB06CC58B0B328BD9FAE40C8394C88849404E820F2CA8A0E709C4F8802089E183D
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
FileSize260660
MD5D92F084A872A9A11A0E4F562CBA8825C
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-1E7616756ABE0EFECC256FBCE9A1D469F80AE92DF
SHA-256080C790151AE853FDA44A8AA4463660EA7457A44D18E0F74EFD9AB95CDE9AB2E
Key Value
FileSize217796
MD592D34D5E9749A6699A52D4E13C7C94D7
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-109BC83CD2AF0AB6A85099506FD82C24D3209BDDF
SHA-25658D5133A1A80FA56023F7422FE75F9193B935287AB8DD355122570117A13B277