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r-cran-vroom
GNU R package for Read and Write Rectangular Text Data Quickly
The package reads and writes data (like 'csv', 'tsv' and 'fwf') quickly.
When reading it uses a quick initial indexing step, then reads the values
lazily, so only the data you actually use needs to be read. The writer
formats the data in parallel and writes to disk asynchronously from
formatting.
zonefs-tools
Command line utility to use zonefs file system
Zonefs is a very simple file system exposing each zone of a
zoned block device as a file. zonefs does not have complex
on-disk metadata. Its implementation relies solely on a super
block stored at LBA 0 of the device. On mount, zonefs uses
zone configuration information obtained directly from the
device to populate the mount point with files representing
the device zones.
python3-django-phonenumber-field
Model and form field for normalised phone numbers (Python 3 version)
A Django library which interfaces with python-phonenumbers to validate,
pretty print and convert phone numbers. python-phonenumbers is a port of
Google's libphonenumber library, which powers Android's phone number
handling.
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.
python3-ament-cmake-google-benchmark
Python 3 module for Google Benchmark in ROS 2 ament packages
The ament build system is the most common way to build packages for ROS 2.
ament_cmake provides the necessary tooling to build ament packages with
CMake.
python3-ament-package
Utilities and templates for ROS 2 ament packages
The ament build system is the most common way to build packages for
ROS 2, the Robot Operating System. It is the successor of catkin.