arraylias 0.1.1

Description:

arraylias 0.1.1

arraylias

This repo is still in the early stages of development, there will be breaking API changes
Arraylias is an open-source Python library providing single-dispatching tools centred around the
construction of an aliased module. Aliased modules are built by initially registering "libraries"
consisting of a collection of types, then registering different versions of a given function in the
aliased module for each underlying type library. When using the aliased module, function calls are
automatically dispatched to version of the function for the correct library based on the type of the
first argument.
Arraylias contains default pre-built aliased versions of both
NumPy and Scipy, with additional
registration of the JAX and
Tensorflow array libraries. This enables writing
NumPy and Scipy like code that
will execute on NumPy,
JAX, and Tensorflow array objects
as if it had been written in the respective native libraries. If necessary, these default aliases
can be further extended to fit the needs of the application.
Reference documentation may be found here, including
tutorials,
user guide, and
API reference.
Installation
Arraylias is installed by using pip:
pip install arraylias

Contribution Guidelines
If you'd like to contribute to Arraylias, please take a look at our
contribution guidelines. This project adheres to Qiskit's
code of conduct. By participating, you are expected to uphold this code.
We use GitHub issues for tracking
requests and bugs. For questions that are more suited for a forum we use the Qiskit tag in the
Stack Exchange.
Authors and Citation
License
Apache License 2.0