nautilus-font-manager
Nautilus extension for Font Manager
Font Manager is intended to provide a way for average users to easily manage
desktop fonts, without having to resort to command line tools or editing
configuration files by hand. While designed primarily with the GNOME Desktop
Environment in mind, it should work well with other Gtk+ desktop environments.
php-async-aws-sns
AsyncAws Sns - AsyncAws component
SNS client, part of the AWS SDK provided by AsyncAws.
python3-iminuit
Robust Python minimisation library based around MINUIT2
iminuit is a Jupyter-friendly Python frontend to the MINUIT2 C++ library.
It can be used as a general robust function minimisation method, but is
most commonly used for likelihood fits of models to data, and to get model
parameter error estimates from likelihood profile analysis.
libminini1t64
minimal INI file parser
minIni is a programmer's library to read and write "INI" files in embedded
systems. minIni takes little resources, has a deterministic memory footprint
and can be configured for various kinds of file I/O libraries. The principal
purpose for minIni is to be used on embedded systems that run on an RTOS (or
even without any operating system). minIni requires that such a system provides
a kind of storage and file I/O system, but it does not require that this file
I/O system is compatible with the standard C/C++ library.
python3-pytest
Simple, powerful testing in Python3
This testing tool has for objective to allow the developers to limit the
boilerplate code around the tests, promoting the use of built-in
mechanisms such as the `assert` keyword.
python3-pycuda
Python 3 module to access Nvidia‘s CUDA parallel computation API
PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python.
Several wrappers of the CUDA API already exist–so what’s so special about
PyCUDA?
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and crash-free
code. PyCUDA knows about dependencies, too, so (for example) it won’t
detach from a context before all memory allocated in it is also freed.
* Convenience. Abstractions like pycuda.driver.SourceModule and
pycuda.gpuarray.GPUArray make CUDA programming even more convenient than
with Nvidia’s C-based runtime.
* Completeness. PyCUDA puts the full power of CUDA’s driver API at your
disposal, if you wish.
* Automatic Error Checking. All CUDA errors are automatically translated
into Python exceptions.
* Speed. PyCUDA’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful Documentation.