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r-cran-progressr package

r-cran-progressr 0.13.0-1 source package in Ubuntu

Changelog

r-cran-progressr (0.13.0-1) unstable; urgency=medium

  * New upstream version

 -- Andreas Tille <email address hidden>  Mon, 16 Jan 2023 14:06:20 +0100

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc
Lunar release universe misc

Builds

Lunar: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-progressr_0.13.0-1.dsc 2.1 KiB d534280f40cb27f4398c97b4e4b53b63d39bdb6cb515926dfbad1b20a5c5382c
r-cran-progressr_0.13.0.orig.tar.gz 205.2 KiB 0ffb3dcadde0cc191bad0ff9e05d000aa65e2fc339cfc94ebbb263088df5a4e1
r-cran-progressr_0.13.0-1.debian.tar.xz 2.9 KiB 5c1ea3db1c02d1bf40521e97f7c71da4a0fdc05196c5e5759cfafae80801c883

Available diffs

No changes file available.

Binary packages built by this source

r-cran-progressr: GNU R inclusive, unifying API for progress updates

 A minimal, unifying API for scripts and packages to report progress
 updates from anywhere including when using parallel processing. The
 package is designed such that the developer can to focus on what
 progress should be reported on without having to worry about how to
 present it. The end user has full control of how, where, and when to
 render these progress updates, e.g. in the terminal using
 utils::txtProgressBar() or progress::progress_bar(), in a graphical user
 interface using utils::winProgressBar(), tcltk::tkProgressBar() or
 shiny::withProgress(), via the speakers using beep::beepr(), or on a
 file system via the size of a file. Anyone can add additional,
 customized, progression handlers. The 'progressr' package uses R's
 condition framework for signaling progress updated. Because of this,
 progress can be reported from almost anywhere in R, e.g. from classical
 for and while loops, from map-reduce APIs like the lapply() family of
 functions, 'purrr', 'plyr', and 'foreach'. It will also work with
 parallel processing via the 'future' framework, e.g.
 future.apply::future_lapply(), furrr::future_map(), and 'foreach' with
 'doFuture'. The package is compatible with Shiny applications.