{"Encoding":"UTF-8","Package":"memoise","Title":"Memoisation of Functions","Version":"1.1.0","Authors@R":"c(\nperson(\"Hadley\", \"Wickham\", , \"hadley@rstudio.com\", role = \"aut\"),\nperson(\"Jim\", \"Hester\", , \"jim.hester@rstudio.com\", role = c(\"aut\", \"cre\")),\nperson(\"Kirill\", \"Mller\", , \"krlmlr+r@mailbox.org\", role = \"aut\"),\nperson(\"Daniel\", \"Cook\", , \"danielecook@gmail.com\", role = \"aut\"))","Description":"Cache the results of a function so that when you call it\nagain with the same arguments it returns the pre-computed value.","URL":"https://github.com/hadley/memoise","BugReports":"https://github.com/hadley/memoise/issues","Imports":"digest (>= 0.6.3)","Suggests":"testthat, aws.s3, httr, covr","Additional_repositories":"http://cloudyr.github.io/drat","License":"MIT + file LICENSE","RoxygenNote":"6.0.1","NeedsCompilation":"no","Packaged":"2017-04-20 17:35:47 UTC; jhester","Author":"Hadley Wickham [aut],\nJim Hester [aut, cre],\nKirill Mller [aut],\nDaniel Cook [aut]","Maintainer":"Jim Hester ","Repository":"CRAN","Date/Publication":"2017-04-21 05:54:22 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/memoise_1.1.0.tar.gz","jsonAuthors":[{"name":"Hadley Wickham","email":"hadley@rstudio.com","maintainer":false},{"name":"Jim Hester","email":"jim.hester@rstudio.com","maintainer":true},{"name":"Kirill Mller","email":"krlmlr+r@mailbox.org","maintainer":false},{"name":"Daniel Cook","email":"danielecook@gmail.com","maintainer":false}],"readme":"# memoise\n[![Travis-CI Build Status](https://travis-ci.org/hadley/memoise.svg?branch=master)](https://travis-ci.org/hadley/memoise) [![Coverage Status](https://img.shields.io/codecov/c/github/hadley/memoise/master.svg)](https://codecov.io/github/hadley/memoise?branch=master)\n\n# Memoization\n\nIf a function is called multiple times with the same input, you can\noften speed things up by keeping a cache of known answers that it can\nretrieve. This is called memoisation .\nThe `memoise` package provides a simple syntax\n\n```r\nmf <- memoise(f)\n```\n\nto create `mf()`, a memoised wrapper around `f()`. You can clear `mf`'s\ncache with\n\n```r\nforget(mf)\n```\n\nand you can test whether a function is memoised with\n\n```r\nis.memoised(mf) # TRUE\nis.memoised(f) # FALSE\n```\n\n# Installation\n\n```\ndevtools::install_github(\"hadley/memoise\")\n```\n\n# External Caches\n\n`memoise` also supports external caching in addition to the default in-memory caches.\n\n* `cache_filesystem()` allows caching using files on a local filesystem. You\n can point this to a shared file such as dropbox or google drive to share\n caches between systems.\n* `cache_s3()` allows caching on [Amazon S3](https://aws.amazon.com/s3/)\n\n\n## AWS S3\n\nUse `cache_s3()` to cache objects using s3 storage. Requires you to specify\na bucket using `cache_name`. When creating buckets, they must be unique among\nall s3 users when created.\n\n```r\nSys.setenv(\"AWS_ACCESS_KEY_ID\" = \"\",\n \"AWS_SECRET_ACCESS_KEY\" = \"\")\n\nmrunif <- memoise(runif, cache = cache_s3(\"\"))\n\nmrunif(10) # First run, saves cache\nmrunif(10) # Loads cache, results should be identical\n\n```\n\n## Filesystem\n\n`cache_filesystem` can be used for a file system cache. This is useful for\npreserving the cache between R sessions as well as sharing between systems\nwhen using a shared or synced files system such as Dropbox or Google Drive.\n\n```r\nfc <- cache_filesystem(\"~/.cache\")\nmrunif <- memoise(runif, cache = fc)\nmrunif(20) # Results stored in local file\n\ndbc <- cache_filesystem(\"~/Dropbox/.rcache\")\nmrunif <- memoise(runif, cache = dbc)\nmrunif(20) # Results stored in Dropbox .rcache folder which will be synced between computers.\n\ngdc <- cache_filesystem(\"~/Google Drive/.rcache\")\nmrunif <- memoise(runif, cache = gdc)\nmrunif(20) # Results stored in Google Drive .rcache folder which will be synced between computers.\n```","jobInfo":{"package":"memoise","version":"1.1.0","parsingStatus":"success","parserVersion":1,"parsedAt":"2021-01-26T18:32:06+0000"}}

Description

Usage

Arguments

See Also

Examples