A python module for driving the CAD-to-Solution workflow based on refine with Engineering Sketch Pad.
If you will be creating custom drivers, controller, etc., it is recommended that you
clone the pyrefine repository and do a developer (in place) installation of pyrefine:
from the root directory do pip install -e .. This allows you to edit pyrefine without
having to reinstall to get new changes.
Otherwise, you can use pip install pyrefine.
While not required, for the main pyrefine package, some of the post processing and adaptation monitoring GUIs use plotly and the open-source version of dash.
To use these utilities, you'll need to pip install plotly dash or conda install plotly dash.
Documentation is hosted using Github Pages
The pyrefine documentation is generated from the source code with Sphinx.
If you do not already have sphinx installed, you can use pip or conda to install it.
Once you have installed or added pyrefine to your PYTHONPATH, the documentation is built by running make html in the docs directory.
The generated documentation will be in docs/build/html.
After installation,
cd examples/onera_m6/geometry
./om6ste.sh
cd ../steady_sa
On the NASA K cluster, run:
python adapt.py
On pfe, set your group name in adapt_nas.py then run the script:
python adapt_nas.py
In both cases the scripts are run from the login nodes and will launch pbs jobs for refine, fun3d, etc.
Notices: Copyright 2022 United States Government as represented by the Administrator of the National Aeronautics and Space Administration. No copyright is claimed in the United States under Title 17, U.S. Code. All Other Rights Reserved.
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