real-dice: Random number generation based on physical media touched by humans
This package provides random data gathered via human interaction with the physical world as well as utilities to leverage this data for random number generation and other RNG-based tasks
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Versions [RSS] | 0.1.0.0, 0.1.0.1, 0.1.0.2, 0.1.0.3, 0.1.0.4 |
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Change log | CHANGELOG.md |
Dependencies | base (>=4.12.0.0 && <=4.20.0.1), mtl (>=2.2.2 && <2.4), primes (>=0.2.1 && <0.3), random (>=1.2.1 && <1.3), real-dice (>=0.1 && <0.2) [details] |
Tested with | ghc ==9.8.2, ghc ==9.6.4, ghc ==9.4.8, ghc ==9.2.8, ghc ==9.2.1, ghc ==9.0.2, ghc ==8.10.7, ghc ==8.8.4, ghc ==8.6.5, ghc ==8.4.4, ghc ==8.2.2, ghc ==8.0.2, ghc ==7.10.3, ghc ==7.8.4, ghc ==7.6.3, ghc ==7.4.2, ghc ==7.2.2, ghc ==7.0.4 |
License | MIT |
Copyright | 2024 Kyle Beechly |
Author | Kyle Beechly |
Maintainer | contact@kaBeech.com |
Category | Math, Data |
Home page | https://github.com/kaBeech/real-dice |
Source repo | head: git clone https://github.com/kaBeech/real-dice |
Uploaded | by kaBeech at 2024-10-21T20:44:47Z |
Distributions | LTSHaskell:0.1.0.4, Stackage:0.1.0.4 |
Executables | real-dice |
Downloads | 168 total (8 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 2024-10-21 [all 1 reports] |