r-cran-progressr 0.10.1-1 source package in Ubuntu
Changelog
r-cran-progressr (0.10.1-1) unstable; urgency=medium * Team upload. * New upstream version 0.10.1 * Bump Standards-Version to 4.6.1 (no changes needed) -- Nilesh Patra <email address hidden> Thu, 09 Jun 2022 08:25:49 +0530
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 | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-cran-progressr_0.10.1-1.dsc | 2.1 KiB | 49c37e29d7c02217c205ba6b7d18dc7da6b8bfe09fdd779b94cef1d1e187edc7 |
r-cran-progressr_0.10.1.orig.tar.gz | 107.4 KiB | 39d71db6e654af5534bc2db909b459329f6f8a9d61a252f9a1bc9469eada6c4b |
r-cran-progressr_0.10.1-1.debian.tar.xz | 2.8 KiB | 41fba921445b0a9ed4950abc0d8947d90199a84b9aa02ce25a5232491d02eb89 |
Available diffs
- diff from 0.10.0-1 to 0.10.1-1 (22.5 KiB)
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.