slycot 0.6.0

Using conda and conda-forge

First install Miniconda or Anaconda. Slycot can then be installed from the conda-forge channel with the following command:

conda install -c conda-forge slycot

Compiling the PyPI source with pip

We publish Slycot to the Python package index, but only as a source package, so to install using pip you’ll first need to install the build prerequisites (compilers, libraries, etc.)

If you have these build prerequisites, the command:

pip install slycot

will download the latest release of the source code from PyPI, compile, and install Slycot into the currently configured location (virtual environment or user site-packages).

Getting the full source code

git clone --recurse-submodules https://github.com/python-control/Slycot.git

git clone --recurse-submodules https://github.com/<your-username>/Slycot.git

git submodule init
git submodule update

Compiling the source (Linux, macOS, Windows)

If you need to specify a specific compiler, set the environment variable FC before running the install:

# Linux/OSX:
export FC=/path/to/my/fortran

# Windows:
set FC=D:\path\to\my\fortran.exe

To build and install, execute:

cd /path/to/slycot_src/
pip install -v .

Using the conda recipe

You can use conda to compile and install Slycot from source. The recipe is located in the folder conda-recipe and is intended to work for all platforms.

The conda-forge channel provides almost all requirements to compile Slycot with conda-build, except:

• On macOS, you need the macOS SDK. See the conda-build documentation for macOS how to get it.

• On Windows, you need to install Microsoft Visual C++ 14.x provided e.g. by Microsoft Visual Studio. To build, you’ll need a command shell setup for both conda and the Visual Studio build tools. See conda activation and Microsoft Visual Studio setup for information on this.

To build and install:

conda build -c conda-forge conda-recipe
conda install -c conda-forge --use-local slycot

Building from source manually in a conda environment (Windows)

A similar method can be used for Linux and macOS, but is detailed here for Windows. This method uses conda and conda-forge to get most build dependencies, except for the C compiler.

1. Install Microsoft Visual Studio.

2. Unpack the source code to a directory of your choice,

3. Create a command shell setup that can run the conda commands and the Visual Studio build tools (see above)

4. In such a command shell, within the Slycot source code directory, run the following commands to build and install Slycot (this example creates a Python 3.8 environment):

   conda create --channel conda-forge --name build-slycot python=3.10 numpy scipy libblas=*=*netlib liblapack=*=*netlib scikit-build flang pytest
   conda activate build-slycot
   
   pip install -v .

Additional hints

Additional hints for how to install Slycot from source can be found in the .github directory , (commands used to build and test in the GitHub Actions CI), the logs from the GitHub Actions, and the conda-recipe directory (conda pre-requisites, install and test commands) which is included in the source code repository.