opyrability v1.4.9

Fixes a bug on the Anaconda distribution of opyrability.

opyrability v1.4.8

This minor release fixes a bug in the codebase related to JAX jax-ml/jax#19895.

opyrability v1.4.7

This minor release relaxes the numpy version requirements on pyproject.toml.

opyrability v1.4.6

This minor release freezes matplotlib dependency requirement to be <3.8.0 to avoid a bug in Polytope. This will be reverted when the polytope team fixes the related bug, which is a work in progress in here

opyrability v1.4.5

This is a Zenodo Release in order to make Opyrability's paper available at JOSS.

opyrability v1.4.4

In this new release:

1. A bug related to jax.numpy arrays datatypes has been fixed for the particular case that the user inputs arrays elements as integers (openjournals/joss-reviews#5966 (comment))
2. The documentation has been updated with instructions on how to install opyrability in a Google Colab env session!

Thank you gmxavier for suggesting these.

opyrability v1.4.3

This release brings opyrability to conda, taking care of all dependencies automatically with a single command:

conda install -c codes-group opyrability

which installs opyrability and all its dependencies on macOS and linux systems. For Windows, PyPI (pip) is the current compatible method of installation.

opyrability 1.4.2

1.4.2

opyrability v1.4.1

1.4.1

opyrability v1.4.0

1.4.0 release.