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I have not, because most of the code in this repository has been subsumed by the modeling subpackage in the Python package stingray, which is much better designed and much better maintained and tested: https://github.com/StingraySoftware/stingray
There's an example notebook for the modeling subpackage that demos a lot of the functionality that BayesPSD was supposed to provide here: https://github.com/StingraySoftware/notebooks
Feel free to ping me with questions!
I should probably put a note to that effect on the README.
I was running the last cell in the Demo.ipnb. Everything was printed up to
and then I got
in the module burst.py
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