Ubuntu 20.04 conda development quickstart

Loosely based on an older SciPy development quickstart for Ubuntu.

Last tested 2023-10-07 with:

• python 3.11.5
• numpy 1.26.0
• slycot commit 9485d94

This did not test against python-control, just Slycot's unit tests.

Note this bug : be sure to uninstall python3-numpy from the system.

Conda

Install miniconda

Setup environment

Create a conda environment slycotdev with the necessary build requirements.

conda create --name slycot-dev --channel conda-forge python compilers numpy "setuptools>=45" "setuptools_scm>=6.3" "scikit-build>=0.14.1" cmake scipy pytest

If you're likely to install other packages (matplotlib, ipython, etc.) as you go along, make sure conda-forge is the first channel for packages:

conda activate slycotdev
conda config --env --add channels conda-forge

In-place build

Build inplace

conda activate slycotdev # if not already activated
python setup.py build_ext --inplace

Install in your development environment:

conda develop .

Run the tests:

pytest

As of 2022-07-17, commit 5a6858f, this runs 109 tests, all of which pass.

Testing against python-control

If you've installed Slycot in your development environment (see conda develop . above), you can use python-control to do more tests of Slycot. Use git to clone python-control, and in the python-control working tree run pytest. You'll need to conda install matplotlib to run the python-control tests.