boltzmann-samplers: Uniform random generators
Random generators with a uniform distribution conditioned
to a given size.
See also testing-feat
,
which is currently a faster method with similar results.
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Modules
[Index]
Flags
Manual Flags
Name | Description | Default |
---|---|---|
test | Enable testing. Disabled by default because the current test suite is slow and can fail with non-zero probability. | Disabled |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Downloads
- boltzmann-samplers-0.1.1.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
Versions [RSS] | 0.1.0.0, 0.1.1.0 |
---|---|
Change log | CHANGELOG.md |
Dependencies | ad, base (>=4.8 && <5), containers, hashable, hmatrix, ieee754, MonadRandom, mtl, QuickCheck, semigroups, transformers, unordered-containers, vector [details] |
Tested with | ghc ==7.10.3, ghc ==8.0.2, ghc ==8.2.2, ghc ==8.4.1 |
License | MIT |
Author | Li-yao Xia |
Maintainer | lysxia@gmail.com |
Category | Data, Generic, Random |
Home page | https://github.com/Lysxia/boltzmann-samplers#readme |
Source repo | head: git clone https://github.com/Lysxia/boltzmann-samplers |
Uploaded | by lyxia at 2018-04-01T16:31:08Z |
Distributions | LTSHaskell:0.1.1.0, NixOS:0.1.1.0, Stackage:0.1.1.0 |
Reverse Dependencies | 3 direct, 10 indirect [details] |
Downloads | 2454 total (14 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs available [build log] Last success reported on 2018-04-14 [all 1 reports] |