.. image:: https://img.shields.io/pypi/v/slycot.svg :target: https://pypi.org/project/slycot/
.. image:: https://anaconda.org/conda-forge/slycot/badges/version.svg :target: https://anaconda.org/conda-forge/slycot
.. image:: https://github.com/python-control/Slycot/workflows/Build%20and%20Test%20Slycot/badge.svg :target: https://github.com/python-control/Slycot/actions
.. image:: https://coveralls.io/repos/github/python-control/Slycot/badge.svg?branch=master :target: https://coveralls.io/github/python-control/Slycot?branch=master
Python wrapper for selected SLICOT routines, notably including solvers for Riccati, Lyapunov, and Sylvester equations.
Slycot supports Python versions 3.8 or later.
To run the compiled Slycot package, the following must be installed as dependencies:
If you are compiling and installing Slycot from source, you will need the following dependencies:
To run the Slycot unit tests and examples, you'll also need SciPy and pytest.
There are a variety of ways to install these dependencies on different operating systems. See the individual packages' documentation for options.
The easiest way to get started with Slycot is to install pre-compiled binaries from conda-forge (see below); these are available for Linux, OSX, and Windows.
Compiling the Slycot source is unfortunately a bit tricky, especially on Windows, but we give some pointers further below for doing this.
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 from source
---------------------
The hardest part about installing from source is getting a working
version of FORTRAN and LAPACK (provided by OpenBLAS, MKL, etc.)
installed on your system. Depending on where you get your NumPy and SciPy
from, you will need to use a compatible LAPACK implementation. Make sure that
the correct header files are installed, and specify the CMake variable
`BLA_VENDOR`_, if necessary. We recommend to use `BLA_VENDOR=Generic` in order
to produce a Slycot module, which is binary compatible with all implementations.
.. _BLA_VENDOR: https://cmake.org/cmake/help/latest/module/FindBLAS.html#input-variables
Compiling the PyPI source with pipWe 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 slycotwill 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
Get it from PyPI
^^^^^^^^^^^^^^^^
Get the source code of the latest release is available from `PyPI`_. It
contains both the Python to Fortran wrappers as well as the SLICOT-Reference
Fortran sources.
.. _PyPI: https://pypi.org/project/slycot
Get it from GitHub archives
^^^^^^^^^^^^^^^^^^^^^^^^^^^
If you decide to download a source code archive from GitHub (tagged release or
a specific branch), you also have to get the correct version of our
SLICOT-Reference fork and place it into ``slycot/src/SLICOT-Reference``:
1. Download and unpack https://github.com/python-control/Slycot/archive/master.zip
2. Go to https://github.com/python-control/Slycot/master/slycot/src
3. Follow the link of ``SLICOT-Reference @ <commit-id>``
4. Download the archive of SLICOT-Reference from the Code download button
(``https://github.com/python-control/SLICOT-Reference/archive/<commit-id>.zip``)
5. Unpack the contents of the SLICOT-Reference archive into
``slycot/src/SLICOT-Reference``
Replace ``master`` with the release tag or branch name, which you want to build.
Clone the git repository
^^^^^^^^^^^^^^^^^^^^^^^^
Directly checkout the submodule, when cloning the git repository::
git clone --recurse-submodules https://github.com/python-control/Slycot.git
or if you forked the repository::
git clone --recurse-submodules https://github.com/<your-username>/Slycot.git
If you already have a local checkout, but still need to init the submodule::
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.exeTo 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.
.. _conda-build: https://docs.conda.io/projects/conda-build/en/latest/resources/commands/conda-build.html
.. _conda-build documentation for macOS: https://docs.conda.io/projects/conda-build/en/latest/resources/compiler-tools.html#macos-sdk
.. _Microsoft Visual C++ 14.x: https://wiki.python.org/moin/WindowsCompilers
.. _Microsoft Visual Studio: https://visualstudio.microsoft.com/de/vs/
.. _conda activation: https://docs.conda.io/projects/conda/en/latest/user-guide/troubleshooting.html#windows-environment-has-not-been-activated
.. _Microsoft Visual Studio setup: https://docs.microsoft.com/en-us/cpp/build/setting-the-path-and-environment-variables-for-command-line-builds
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.
This procedure has been tested on Python 3.8.
Microsoft Visual Studio_.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=3.8 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.
.. _.github: https://github.com/python-control/Slycot/tree/master/.github
.. _`logs from the GitHub Actions`: https://github.com/python-control/Slycot/actions
Testing
-------
To test if the installation was successful, you can run the slycot unit tests::
pytest --pyargs slycot
You may also run the tests by calling ``slycot.test()`` from within the python
interpreter::
import slycot
slycot.test()
Importing ``slycot`` or running ``pytest`` without ``--pyargs slycot`` from
inside the source directory will fail, unless the compiled wrapper library has
been installed into that directory. Note that the ``[tool:pytest]`` section
in ``setup.cfg`` enforces the ``--pyargs slycot`` argument by default.
License
-------
Up until version 0.4, Slycot used a version of SLICOT that was released under
the GPLv2 license. This requires Slycot to be released under the same license. In
December 2020, SLICOT 5.7 was released under BSD-3-Clause. However, as the
existing Slycot wrappers have been submitted by many contributors, we cannot
move away from GPLv2 unless we get the permission to do so by all authors.
Thus, Slycot remains licensed under GPLv2 until further notice.