accelerated-numpy 0.1.0

Faster loops for NumPy using multithreading and other tricks

numpy-threading-extensions

Faster loops for NumPy using multithreading and other tricks. The first release will target NumPy binary and unary ufuncs. Eventually we will enable overriding other NumPy functions, and provide an C-based (non-Python) API for extending via third-party functions.

Installation

pip install accelerated_numpy

You can also install the in-development version 0.0.1 with:

pip install https://github.com/Quansight/numpy-threading-extensions/archive/v0.0.1.zip

or latest with

pip install https://github.com/Quansight/numpy-threading-extensions/archive/main.zip

Documentation

To use the project:

    import accelerated_numpy
    accelerated_numpy.initialize()

Development

To run all the tests run::

    tox

Note, to combine the coverage data from all the tox environments run:

OS	Command
Windows	set PYTEST_ADDOPTS=--cov-append
	tox
Other	PYTEST_ADDOPTS=--cov-append tox