representable-tries: Tries from representations of polynomial functors
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| Versions [RSS] | 0.1, 0.2, 0.2.1, 0.2.2, 0.2.3, 0.2.3.1, 0.3, 0.3.1, 0.3.1.1, 0.3.1.2, 0.3.2, 0.3.4, 0.3.6, 0.3.7, 0.5.0, 0.5.0.1, 1.8.0, 1.8.1, 2.0, 2.0.0.1, 2.0.0.2, 2.0.1.1, 2.0.1.2, 2.0.2, 2.0.3, 2.0.4, 2.0.5, 2.2, 2.2.1, 2.4, 2.4.0.1, 2.4.0.2, 2.5, 3.0, 3.0.1, 3.0.1.1, 3.0.2 |
|---|---|
| Change log | CHANGELOG.markdown |
| Dependencies | adjunctions (>=3), base (>=4 && <5), bifunctors (>=3), comonad (>=3), comonad-transformers (>=3), containers (>=0.3 && <0.6), distributive (>=0.2.2), keys (>=3.0.0.1), mtl (>=2.0.1 && <2.2), representable-functors (>=3.0.0.1), semigroupoids (>=3), semigroups (>=0.8.3.1), transformers (>=0.2 && <0.4) [details] |
| License | BSD-3-Clause |
| Copyright | Copyright (C) 2011 Edward A. Kmett |
| Author | Edward A. Kmett |
| Maintainer | Edward A. Kmett <ekmett@gmail.com> |
| Category | Data Structures, Functors, Monads, Comonads |
| Home page | http://github.com/ekmett/representable-tries/ |
| Bug tracker | http://github.com/ekmett/representable-tries/issues |
| Source repo | head: git clone git://github.com/ekmett/representable-tries.git |
| Uploaded | by EdwardKmett at 2013-01-06T22:58:36Z |
| Distributions | |
| Reverse Dependencies | 2 direct, 23 indirect [details] |
| Downloads | 29300 total (149 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs uploaded by user Build status unknown [no reports yet] |
Readme for representable-tries-3.0.2
[back to package description]representable-tries
This package provides a simple function memoization scheme based on the notion of representable functors.
In category theory a representable functor (more pedantically a corepresentable functor) is one such that f a is isomorphic to x -> a. We choose the name Representable here because we are talking about haskell Functor instances, and they are all covariant, so this is the more natural notion of representability for Haskell.
Given the existence of representable functors, we can choose a Traversable representable functor that has our data type as a representation, and use it to memoize functions by building
a data structure that has one place to hold each answer for each possible argument.
Contact Information
Contributions and bug reports are welcome!
Please feel free to contact me through github or on the #haskell IRC channel on irc.freenode.net.
-Edward Kmett