Result for F4D73B8FF13259769D23F356F8791B0ABB422F43

Query result

Key Value
FileName./usr/share/doc/libghc-psqueues-prof/changelog.Debian.amd64.gz
FileSize284
MD5469473DBFFEE711E3C3CD8853190F09F
SHA-1F4D73B8FF13259769D23F356F8791B0ABB422F43
SHA-256B06C753F44A7E0725B1FC54C9A667AC806BE1D1B52800B84AA610710C94CF075
SSDEEP6:XtTlNHTqz8ZMlHsNqnmCRISyKrk85RdYPLztBEOLqMMRx7c:XtTMP1mzTwlcLztBEkqMe9c
TLSHT161D07D67AB650C13C2092667A54550F5314306513C50A2C1759B992DA17684549CD27C
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
FileSize200240
MD5A722833FFB9F87B74BDEBF63924F5CCF
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-10304D28E2400034AFE1CB6C6D6255FFED92AF341
SHA-25660E60545BBA056A1833F877566E055D8B18E7F94EFADF7DC6F4E8A6DB9626515
Key Value
FileSize180176
MD510B23E49B8A254898059710893423D7C
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-11DFBA97C1F0C2437A314DE58EDDDCF6331E04F34
SHA-25685F6368BEE0FA7DAAC1222F03A578DE532C00EFA7EF522E57AFE8365D8ED7202