Project uses Python 3.10
Apply for TPU cloud program for large scale evaluation: https://docs.google.com/forms/d/e/1FAIpQLSeBXCs4vatyQUcePgRKh_ZiKhEODXkkoeqAKzFa_d-oSVp3iw/viewform
Another evaluation dataset: OPENGLOT https://www.mdpi.com/2076-3417/13/15/8775
- Precondition the linear solve for the source amplitudes with nearby points -- effectively re-using Cholesky(Z) -- this requires an approximate (sparse) method
- https://github.com/garrettj403/SciencePlots (installation fails on a mysterious error)
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Enable VPN and connect to remote via vscode
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Use the /venv/ environment (Python 3.10) in the usual way. For .ipynb notebooks, select kernel from that /venv/
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Set PROJECTDIR variable in .env file to the project root
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When developing from IPython or Jupyter notebook, %run init.ipy. This will define the environment and root path.
- Only use JAX random generator, right now we mix with
np.random.state - Use coherent white space (now it's a mess due to Jupyter Lab)