Result for 05D70D7A29D8B6D2F996D563608E736342373739

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/changelog.Debian.armhf.gz
FileSize276
MD58D7D73B4325F29FA9D3F79A7F4F08135
SHA-105D70D7A29D8B6D2F996D563608E736342373739
SHA-256B6261290AC00B22846BEA883F4F54F35E3EE9A68D7B0FFC4EFE4D4C83D7B6630
SSDEEP6:Xtmf9oW7nzR5Zp8yEBj413OmTs5T3iyTP+3YSEnhWmmcwX3WRyw/:XMfr7nr8Rj49Zhp3Y5hvEw
TLSHT11ED02B83E78179E5E42302358F7604D46C03C165A9F1A66FB6769A08C33922A2547858
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
FileSize237416
MD5FD390BF509AD637232D2D5C8F8DFFBBF
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-1794331E9F5DF5F01A600987659D6942ECA804F7B
SHA-256268B62C6C77738A4C9A8666638E0E0F59FADAC224A8C9775B88B96AC06644271
Key Value
FileSize281996
MD5DC5060426EE98DB4E89696A9A5B26706
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-1E2AECD6140521E8498D636220150EE9CC1A7F3D5
SHA-2565005354F86AC9E4B89F890FDA4F75D67389994DEE5271ED69A2B6B84BC013D22