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mlir-19-tools
Multi-Level Intermediate Representation tools
Novel approach to building reusable and extensible compiler infrastructure.
MLIR aims to address software fragmentation, improve compilation for
heterogeneous hardware, significantly reduce the cost of building domain
specific compilers, and aid in connecting existing compilers together.
python3-clang-19
Clang Python Bindings
Clang project is a C, C++, Objective C and Objective C++ front-end
based on the LLVM compiler. Its goal is to offer a replacement to the
GNU Compiler Collection (GCC).
python3-lldb-19
Next generation, high-performance debugger, python3 lib
LLDB is a next generation, high-performance debugger. It is built as a set of
reusable components which highly leverage existing libraries in the larger LLVM
Project, such as the Clang expression parser and LLVM disassembler.
python3-ndms2-client
Client library for Keenetic NDMS routers
This library provides a means to interact with Keenetic routers running NDMS
firmware versions 2.x, 3.x, and 4.x. It facilitates communication with the
router to perform tasks such as presence detection by examining connected
devices. Utilizing a telnet connection, it allows retrieval and monitoring of
various router status information, making it suitable for integration with
home automation systems like Home Assistant.
pass-report
pass extension to report age and length of passwords
A pass extension that shows the date and age of the last change of a
set of passwords, and an indication of their length.
python3-pytest-freezer
Plugin providing a fixture interface for freezegun
This library provides a fixture interface for the freezegun library within
Pytest. The fixture named 'freezer' allows time to be frozen during tests,
ensuring that any timing-based functionality can be tested with precision.
Instead of dealing with real-time changes, developers can control and assert
time-dependent code paths effectively. The freezer fixture can manipulate time
using specific methods, making it easier to test code that relies on temporal
changes. This functionality is useful for testing applications where time-
based computations and logic are critical, such as scheduling features, expiry
mechanisms, and historical data retrieval.