python3-pytest-trio
Pytest plugin for trio (Python3 version)
This is a pytest plugin to help you test projects that use Trio, a friendly
library for concurrency and async I/O in Python.
golang-1.24-src
Go programming language - source files
The Go programming language is an open source project to make programmers more
productive. Go is expressive, concise, clean, and efficient. Its concurrency
mechanisms make it easy to write programs that get the most out of multicore
and networked machines, while its novel type system enables flexible and
modular program construction. Go compiles quickly to machine code yet has the
convenience of garbage collection and the power of run-time reflection. It's a
fast, statically typed, compiled language that feels like a dynamically typed,
interpreted language.
libmapnik4.0.1
C++ toolkit for developing GIS applications (libraries)
Mapnik is an OpenSource C++ toolkit for developing GIS
(Geographic Information Systems) applications. At the core is a C++
shared library providing algorithms/patterns for spatial data access and
visualization.
libscitokens0t64
C++ Implementation of the SciTokens Library
This package implements a minimal library for creating and using
SciTokens from C or C++.
libgroonga0t64
Library files for Groonga
Groonga is an open-source fulltext search engine and column store.
It lets you write high-performance applications that requires fulltext search.
libhalide18-0
fast, portable computation on images and tensors
Halide is a programming language designed to make it easier to write
high-performance image and array processing code on modern machines.
Halide currently targets:
* CPU architectures: X86, ARM, Hexagon, PowerPC, RISC-V
* Operating systems: Linux, Windows, macOS, Android, iOS, Qualcomm QuRT
* GPU Compute APIs: CUDA, OpenCL, Apple Metal, Microsoft Direct X 12, Vulkan
Rather than being a standalone programming language,
Halide is embedded in C++. This means you write C++ code that builds
an in-memory representation of a Halide pipeline using Halide's C++ API.
You can then compile this representation to an object file,
or JIT-compile it and run it in the same process.