WISDEM Installation

Installation with Anaconda is the recommended approach because of the ability to create self-contained environments suitable for testing and analysis. WISDEM requires Anaconda 64-bit. However, the conda command has begun to show its age and we now recommend the one-for-one replacement with the Miniforge3 distribution, which is much more lightweight and more easily solves for the WISDEM package dependencies.

Install WISDEM as a “Library”

  1. Create a conda environment with your preferred name (wisdem-env in the following example) and favorite, approved Python version:

    conda create -n wisdem-env python=3.13 -y
    
  2. Activate the environment:

    conda activate wisdem-env
    
  3. Install WISDEM via a conda or pip. We highly recommend via conda.

    conda install wisdem
    

    or

    pip install wisdem
    

To use WISDEM’s modules as a library for incorporation into other scripts or tools, WISDEM is available via conda install wisdem or pip install wisdem, assuming that you have already setup your python environment. Note that on Windows platforms, we suggest using conda exclusively.

Install For Direct Use or Development

These instructions are for interaction with WISDEM directly, the use of its examples, and the direct inspection of its source code.

The installation instructions below use the environment name, “wisdem-env,” but any name is acceptable. Below are a series of considerations:

  • For those working behind company firewalls, you may have to change the conda authentication with conda config --set ssl_verify no.

  • Proxy servers can also be set with conda config --set proxy_servers.http http://id:pw@address:port and conda config --set proxy_servers.https https://id:pw@address:port.

  • To setup an environment based on a different Github branch of WISDEM, simply substitute the branch name for master in the setup line.

Important

For Windows users, we recommend installing git and the m2w64 packages in separate environments as some of the libraries appear to conflict such that WISDEM cannot be successfully built from source. The git package is best installed in the base environment.

Direct use

We still highly recommend users use conda install wisdem into an environment, but if there is a reason that is not desired, please use the following instructions.

Setup and activate the Anaconda environment from a prompt (Anaconda3 Power Shell on Windows or Terminal.app on Mac)

Important

In the environment.yaml please uncomment out the OS-dependent dependencies at the top

  1. Install git if you don’t already have it:

    conda install git
    
  2. Clone the repository and enter it:

    git clone https://github.com/NLRWindSystems/WISDEM.git
    cd WISDEM
    
  3. Checkout the desired branch, if necessary:

    git checkout <branch>
    
  4. Create and activate your wisdem-env environment, substituting “wisdem-env” with a different desired name.

    conda env create --name wisdem-env -f environment.yml
    conda activate wisdem-env
    
  5. Install WISDEM

    pip install --no-deps . -v
    

Development

In order to directly use the examples in the repository and peek at the code when necessary, we recommend all users install WISDEM in developer / editable mode using the instructions here. If you really just want to use WISDEM as a library and lean on the documentation, you can always do conda install wisdem and be done. Note the differences between Windows and Mac/Linux build systems.

Important

In the environment_dev.yaml please uncomment out the OS-dependent dependencies at the top

For Linux, we recommend using the native compilers (for example, gcc and gfortran in the default GNU suite).

Please follow steps 1-3 in the Direct Use section above, replacing steps 4 & 5 (and the additional 6) with the following to ensure the development dependencies for building, testing, and documentation are also installed:

  1. Create and activate your wisdem-env environment, substituting “wisdem-env” with a different desired name.

    conda env create --name wisdem-env -f environment_dev.yml
    conda activate wisdem-env
    
  2. Install WISDEM. Please note the -e (editable) flag used to ensure your code changes are registered dynamically every time you save modifications.

    pip install --no-deps -e . -v
    
  3. Register the pre-commit hooks for automatic code linting and formatting.

    pre-commit install
    

Run Unit and Integration Tests

Each package has its own set of unit tests, and the project runs the examples as integration tests.

These can be run in batch with the following command

pytest

Users can add either the --unit or --integration flags if they would like to skip running the examples or just run the examples. Otherwise, all tests will be run.

Note

Legacy users can continue to run python test/test_all.py to run the scipts, though it is recommend to adopt the simpler pytest call. In a future version, test_all.py will be removed.