Package: mori 0.2.1.9000

mori: Shared Memory for R Objects

Share R objects across processes on the same machine via a single copy in 'POSIX' shared memory (Linux, macOS) or a 'Win32' file mapping (Windows). Every process reads from the same physical pages through the R Alternative Representation ('ALTREP') framework, giving lazy, zero-copy access. Shared objects serialize compactly as their shared memory name rather than their full contents.

Authors:Charlie Gao [aut, cre], Posit Software, PBC [cph, fnd]

mori_0.2.1.9000.tar.gz
mori_0.2.1.9000.zip(r-4.7)mori_0.2.1.9000.zip(r-4.6)mori_0.2.1.9000.zip(r-4.5)
mori_0.2.1.9000.tgz(r-4.6-x86_64)mori_0.2.1.9000.tgz(r-4.6-arm64)mori_0.2.1.9000.tgz(r-4.5-x86_64)mori_0.2.1.9000.tgz(r-4.5-arm64)
mori_0.2.1.9000.tar.gz(r-4.7-arm64)mori_0.2.1.9000.tar.gz(r-4.7-x86_64)mori_0.2.1.9000.tar.gz(r-4.6-arm64)mori_0.2.1.9000.tar.gz(r-4.6-x86_64)
mori_0.2.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
mori/json (API)

# Install 'mori' in R:
install.packages('mori', repos = c('https://shikokuchuo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/shikokuchuo/mori/issues

Pkgdown/docs site:https://shikokuchuo.net

On CRAN:

Conda:

shared-memory

6.55 score 138 stars 1 packages 9 scripts 2.2k downloads 5 exports 0 dependencies

Last updated from:f8e6d93817. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK145
linux-devel-x86_64OK117
source / vignettesOK161
linux-release-arm64OK157
linux-release-x86_64OK141
macos-release-arm64OK85
macos-release-x86_64OK178
macos-oldrel-arm64OK111
macos-oldrel-x86_64OK192
windows-develOK172
windows-releaseOK70
windows-oldrelOK112
wasm-releaseOK90

Exports:is_sharedmap_sharedprune_sharedshareshared_name

Dependencies: