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r-cran-progressr package

r-cran-progressr 0.14.0-1 source package in Ubuntu

Changelog

r-cran-progressr (0.14.0-1) unstable; urgency=medium

  * New upstream version

 -- Andreas Tille <email address hidden>  Fri, 01 Sep 2023 11:55:26 +0200

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
Oracular release universe misc
Noble release universe misc

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-progressr_0.14.0-1.dsc 2.3 KiB 455e04a59beb3af1f367e2b1f11dcec56823a826d74cce687d27b50eb9c308b2
r-cran-progressr_0.14.0.orig.tar.gz 206.4 KiB 9a2899f879a5577f043be99c18d52bfe4d655cc52a96cae834e8a301b36258af
r-cran-progressr_0.14.0-1.debian.tar.xz 3.0 KiB 1fa2374c0f152b3fa376032fbff01c68b52ccf6221bf16f5d361856654ce29f8

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.