cached: Cache values to disk.

This is a package candidate release! Here you can preview how this package release will appear once published to the main package index (which can be accomplished via the 'maintain' link below). Please note that once a package has been published to the main package index it cannot be undone! Please consult the package uploading documentation for more information.

[maintain]

The module 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]

Properties

Versions0.1.0.0, 0.1.0.0
Change logChangeLog.md
Dependenciesbase (>=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]
LicenseBSD-3-Clause
Copyright2018 Guillaume Chérel
AuthorGuillaume Chérel
Maintainerguillaume.cherel@iscpif.fr
CategoryWorkflow, Data Flow
Home pagehttps://github.com/guillaumecherel/cached#readme
Bug trackerhttps://github.com/guillaumecherel/cached/issues
Source repositoryhead: git clone https://github.com/guillaumecherel/cached
UploadedTue Mar 5 10:46:45 UTC 2019 by GuillaumeCherel

Modules

[Index]

Downloads

Maintainers' corner

For package maintainers and hackage trustees


Readme for cached-0.1.0.0

[back to package description]

cached

Cache values to disk.

The module 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: