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
MD5	F47DB0F8B73340E2B344B5BD4A9F4A83
PackageArch	x86_64
PackageDescription	The psqueues package provides <http://en.wikipedia.org/wiki/Priority_queue 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 <http://citeseer.ist.psu.edu/hinze01simple.html A Simple Implementation Technique for Priority Search Queues>. Hence, it is similar to the <http://hackage.haskell.org/package/PSQueue 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 <http://en.wikipedia.org/wiki/Radix_tree 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. The benchmarks show how they perform relative to one another, and also compared to the other Priority Search Queue implementations on Hackage: <http://hackage.haskell.org/package/PSQueue PSQueue> and <http://hackage.haskell.org/package/fingertree-psqueue fingertree-psqueue>. <<http://i.imgur.com/KmbDKR6.png>> <<http://i.imgur.com/ClT181D.png>> Typical applications of Priority Search Queues include: * Caches, and more specifically LRU Caches; * Schedulers; * Pathfinding algorithms, such as Dijkstra's and A*.
PackageName	ghc-psqueues
PackageRelease	lts13.1.15
PackageVersion	0.2.7.2
SHA-1	002FFE401BC7C78FB4E978F28E9089CA1706CFCC
SHA-256	2158454FC678EAE119E954C9EC35FAFF582538DEA76448113BF906C154668EE6

Key	Value
MD5	C36894CAE92B57A6C0AA049AD1D7C75E
PackageArch	x86_64
PackageDescription	The psqueues package provides <http://en.wikipedia.org/wiki/Priority_queue 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 <http://citeseer.ist.psu.edu/hinze01simple.html A Simple Implementation Technique for Priority Search Queues>. Hence, it is similar to the <http://hackage.haskell.org/package/PSQueue 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 <http://en.wikipedia.org/wiki/Radix_tree 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. The benchmarks show how they perform relative to one another, and also compared to the other Priority Search Queue implementations on Hackage: <http://hackage.haskell.org/package/PSQueue PSQueue> and <http://hackage.haskell.org/package/fingertree-psqueue fingertree-psqueue>. <<http://i.imgur.com/KmbDKR6.png>> <<http://i.imgur.com/ClT181D.png>> Typical applications of Priority Search Queues include: * Caches, and more specifically LRU Caches; * Schedulers; * Pathfinding algorithms, such as Dijkstra's and A*.
PackageName	ghc-psqueues
PackageRelease	ghc86.4.7
PackageVersion	0.2.7.2
SHA-1	C76298AE7C39072C48D92144FAEEE1E4F5B7DB0F
SHA-256	78824C5C6F2D4F434F57352DCCBFE022E5B39851BBBD43A2B8B92135DD811452