Result for DDA4B4FDFA60B6EF3C2145206B295C51AFC63326

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/buildinfo_mips64el.gz
FileSize2949
MD5FF2ECE0255EB068EA2D9B10E3FCDAC12
SHA-1DDA4B4FDFA60B6EF3C2145206B295C51AFC63326
SHA-25686E21468FA39E3F83AA458C38019F2BA166551A3135C7FCD1B893978B7838062
SSDEEP48:XCvXHGC5KQnTbGYhlvodTB437rIzG11ZqYCf07RG/HcZHUpdbNS2R6Pu:WXrnXrvo9BKrF1cZfGG/HcxUpdbRV
TLSHT1E8517D9580FFA9BA319F4183B4E13F60010689D227485913C86203E4B83CED9A06F3B7
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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
FileSize240868
MD57DBB9E134FC04CDE4B01BE3BAC581418
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-168F74DF146C5614FA873DDB3960331B59BF6EA74
SHA-256641184659BFFCA02215AFC8172B56EF7253B505FB9EB9AA80A332A1E2B5DA752
Key Value
FileSize272836
MD59E154817F3B051DD0FF9A8844C707BB3
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-160174D80CB3C81A359D048D0EE2BCF7A17206224
SHA-256CF49E7178B2C95F8CB16777ACA3E17FFA68E31AB1257AF08521578E820E10AF0