Installation

Requirements

The supported Python versions are:

  • Python 3.7

  • Python 3.8

  • Python 3.9

  • Python 3.10

  • Python 3.11

  • Python 3.12

Installation via pip

Virtual Python environment

We recommend working in a Python virtual environment and install iwopy there. Such an environment can be created by

python -m venv /path/to/my_venv

and afterwards be activated by

source /path/to/my_venv/bin/activate

Note that in the above commands /path/to/my_venv is a placeholder that should be replaced by a path to a (non-existing) folder of your choice, for example ~/venv/iwopy.

All subsequent installation commands via pip can then be executed directly within the active environment without changes. After your work with iwopy is done you can leave the environment by the command deactivate.

Standard users

As a standard user, you can install the latest release via pip by

pip install iwopy

This in general corresponds to the main branch at github. Alternatively, you can decide to install the latest pre-release developments (non-stable) by

pip install git+https://github.com/FraunhoferIWES/iwopy@dev#egg=iwopy

Notice that the above default installation does not install the third-party optimization packages. iwopy will tell you in an error message that it is missing a package, with a hint of installation advice. You can avoid this step by installing all supported optimzer packages by installing those optoinal packages by addig [opt]:

pip install iwopy[opt]

or

pip install git+https://github.com/FraunhoferIWES/iwopy@dev#egg=iwopy[opt]

Developers

The first step as a developer is to clone the iwopy repository by

git clone https://github.com/FraunhoferIWES/iwopy.git

Enter the root directory by

cd iwopy

Then you can either install from this directory via

pip install -e .

Notice that the above default installation does not install the third-party optimization packages. iwopy will tell you in an error message that it is missing a package, with a hint of installation advice. You can avoid this step by installing all supported optimzer packages by installing those optoinal packages by addig [opt]:

pip install -e .[opt]

Installation via conda

Preparation (optional)

It is strongly recommend to use the libmamba dependency solver instead of the default solver. Install it once by

conda install conda-libmamba-solver -n base -c conda-forge

We recommend that you set this to be your default solver, by

conda config --set solver libmamba

Standard users

The iwopy package is available on the channel conda-forge. You can install the latest version by

conda install -c conda-forge iwopy

Developers

For developers using conda, we recommend first installing iwopy as described above, then removing only the iwopy package while keeping the dependencies, and then adding iwopy again from a git using conda develop:

conda install iwopy conda-build -c conda-forge
conda remove iwopy --force
git clone https://github.com/FraunhoferIWES/iwopy.git
cd iwopy
conda develop .

Concerning the git clone line, we actually recommend that you fork iwopy on GitHub and then replace that command by cloning your fork instead.