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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.