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r-cran-progressr package

r-cran-progressr 0.9.0-1 source package in Ubuntu

Changelog

r-cran-progressr (0.9.0-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.6.0 (routine-update)
  * Trim trailing whitespace.
  * Set upstream metadata fields: Archive, Bug-Database, Bug-Submit, Repository,
    Repository-Browse.

 -- Andreas Tille <email address hidden>  Mon, 11 Oct 2021 14:44:39 +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

Builds

Jammy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-progressr_0.9.0-1.dsc 2.1 KiB 2a97d72bf5f2fd1aa5e432b7b63db3dfe1fe1a5bf4965afd6baced3eea65f334
r-cran-progressr_0.9.0.orig.tar.gz 104.7 KiB cfe70f8423041ea5b5a2a39122c166462e58b1bba84df935858a7b86362b530f
r-cran-progressr_0.9.0-1.debian.tar.xz 2.7 KiB 1fb75ab5c1d788155798118f16e9232504f7f58ecb1d42dcce49d6032cfeae11

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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.