Dan Foreman-Mackey
Dan Foreman-Mackey
Yeah - it's definitely something related to parallel builds, but I don't have this same issue when I use this same setup on other repos :/ I'll look into it...
I'd be surprised if this is true in general. If so, we should definitely figure it out! The emcee pool can do some load balancing, but it doesn't look like...
I can't reproduce this even with the same commit. What version of numpy? It's doing something weird with the way it handles underflow...
Can you also attach the text files that the Gaussian example saves?
I can't reproduce this. Are you using a recent github checkout? How did you install? What version of numpy do you have? Can you post your `sample.txt`, `sample_info.txt`, and `levels.txt`...
I just tested with that old numpy version and your files and I still don't get nans so I'm really not sure what's going on....
What about if you navigate to the directory where these files are saved and run ``` from dnest4.analysis import postprocess postprocess() ``` Still nans?
That's a work around only if the classic post process works! They both work fine for me too so we don't know what his problem is yet. On Sat, Jun...
Interesting. It must be a Python 2 thing then. I'll try to debug and get back to you.
Yes! I've figured it out. It's because of the Overleaf integration. The commit updating from Overleaf never ends up on GitHub because it doesn't push. So, if there are any...