gdc-14-riscv64-linux-gnu

GNU D compiler (version 2) for the riscv64-linux-gnu architecture

This is the GNU D compiler for the riscv64-linux-gnu architecture, which compiles D on platforms supported by gcc. It uses the gcc backend to generate optimised code.

gccgo-14-multilib-x86-64-linux-gnu

GNU Go compiler (multilib support) (cross compiler for amd64 architecture)

This is the GNU Go compiler, which compiles Go on platforms supported by the gcc compiler.

mcxtrace-mxdisplay-pyqtgraph

X-ray ray-trace simulation - pyqtgraph instrument display

McXtrace is a tool for carrying out highly complex Monte Carlo ray-tracing simulations of X-ray beamlines to high precision. The simulations can compute all aspects of the performance of beamlines and can thus be used to optimize the use of existing equipment, design new instrumentation, and carry out virtual experiments for e.g. training, experimental planning or data analysis.

neutron-tempest-plugin

OpenStack Integration Test Suite - Neutron plugin

Tempest is a set of integration tests to be run against a live Openstack cluster in order to make sure that all components are working as expected. Tempest will start and stop virtual machine in order to check that your cloud is working as expected.

gtk2hs-buildtools

Tools to build the Gtk2Hs suite of User Interface libraries

This package provides a set of helper programs necessary to build the Gtk2Hs suite of libraries. These tools include a modified c2hs binding tool that is used to generate FFI declarations, a tool to build a type hierarchy that mirrors the C type hierarchy of GObjects found in glib, and a generator for signal declarations that are used to call back from C to Haskell. These tools are not needed to actually run Gtk2Hs programs.

python3-djangorestframework-flex-fields

Dynamic fields and nested resources for DRF (Python3 version)

FlexFields (DRF-FF) for Django REST Framework is a package designed to provide a common baseline of functionality for dynamically setting fields and nested models within DRF serializers. To remove unneeded fields, you can dynamically set fields, including nested fields, via URL parameters (?fields=name,address.zip) or when configuring serializers. Additionally, you can dynamically expand fields from simple values to complex nested models, or treat fields as "deferred", and expand them on an as-needed basis.