cached: Cache values to disk.
Data.Cached lets you cache values to disk to avoid re-running
(potentially long) computations between consecutive executions of your
program. Cached values are recomputed only when needed, i.e. when other
cached values on which they depend change. Independent computations are
run in parallel. It offers convenient fonctions for caching to text files,
but caching and uncaching using arbitrary IO actions is also possible.
The module was motivated by writing scientific data flows, simulation experiments or data science scripts. Those often involve long computations and create "flows" where the output of some computation are the inputs of others, until final results are produced (values, figures, statistical tests, etc.).
See the module Data.Cached documentation:
[Skip to Readme]
|Dependencies||base (>=4.7 && <5), containers (>=0.5.10 && <0.7), protolude (>=0.2.2 && <0.3), shake (>=0.16.4 && <0.18), text (>=1.2.3 && <1.3) [details]|
|Copyright||2018 Guillaume Chérel|
|Category||Workflow, Data Flow|
|Source repo||head: git clone https://github.com/guillaumecherel/cached|
|Uploaded||by GuillaumeCherel at 2019-03-05T10:47:18Z|
|Downloads||546 total (4 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
|Status||Docs available [build log]
Last success reported on 2019-03-05 [all 1 reports]