Result for 5F7BE31EBD28064982B12F3755D201D1EBA323B4

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/mips-linux-ghc-8.4.4/psqueues-0.2.7.0-Fvc5tEEuzbQ5vxup2jFsDB/Data/OrdPSQ/Internal.dyn_hi
FileSize116995
MD5EB485B0D7509BF474C1CA600DE1C3A40
SHA-15F7BE31EBD28064982B12F3755D201D1EBA323B4
SHA-25688D90C99BDB4A28C33DAEF3C7BF9DAF100291D0C9AA7EBEB3A64462FE7B6E0A4
SSDEEP768:eu2U7HRGNQ/2fufydlz7HYw3u7rpAN5RQLRsUtobQ4ntISvKvsvKvZ+8/YSKdiie:emOHYuCSvKvsvKvERSp
TLSHT175B3FF589F89C201EA2805B04F7A330D7F14D9C1A58A6F53692AF0BCFD779D43E51E98
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
FileSize248408
MD5039B624D0F59EA9C58D4A5D834CF1214
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-155C7669F43FD0A8E1642DD11D017F08C8CC2321B
SHA-256C8F5372EF3648A69638B51EC9E73C4185EF640A1DCF340A44331AC519AE32E86
Key Value
FileSize236716
MD55072A280042CD0D4C9A8CA07D6C8E561
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-1B6E18024FF753A9AB9BDA08C22027A209014B237
SHA-256783E030E18AF4CFB0D16FDF2C9D94D7C0502201EE4271EB98D2F84F780C3ECAA