pomaps: Maps and sets of partial orders
Maps (and sets) indexed by keys satisfying PartialOrd.
The goal is to provide asymptotically better data structures than simple association lists or lookup tables. Asymptotics depend on the partial order used as keys, its width w specifically (the size of the biggest anti-chain).
For partial orders of great width, this package won't provide any benefit over using association lists, so benchmark for your use-case!
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- pomaps-0.2.0.1.tar.gz [browse] (Cabal source package)
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Versions [RSS] | 0.0.0.1, 0.0.0.2, 0.0.0.3, 0.0.0.4, 0.0.1.0, 0.0.2.0, 0.0.2.1, 0.1.0.0, 0.2.0.0, 0.2.0.1 |
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Change log | CHANGELOG.md |
Dependencies | base (>=4.6.0.0 && <4.15), containers (>=0.5.9.2 && <=0.6.4.1), deepseq (>=1.1 && <1.5), ghc-prim (>=0.4 && <0.7), lattices (>=1.7) [details] |
Tested with | ghc ==9.0.1 || ==8.10.2 || ==8.8.4 || ==8.6.5 || ==8.4.4 || ==8.2.2 |
License | MIT |
Author | Sebastian Graf <sgraf1337@gmail.com> |
Maintainer | Sebastian Graf <sgraf1337@gmail.com> |
Category | Data Structures |
Home page | https://github.com/sgraf812/pomaps#readme |
Bug tracker | https://github.com/sgraf812/pomaps/issues |
Source repo | head: git clone https://github.com/sgraf812/pomaps |
Uploaded | by sgraf812 at 2021-02-07T20:07:24Z |
Distributions | |
Reverse Dependencies | 1 direct, 1 indirect [details] |
Downloads | 4955 total (25 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] |