JeffreyBoucher

Hello! Thanks for the response! I am using n_jobs -1, which should be 10 cores on the cluster I'm using. I'll try with n_jobs = 1 and get back to...

Hello! Setting n_jobs = 1 indeed let me get through the sparsity estimation without error! Naturally this takes much longer to do, though. Since you have implied I might be...

Hello! Unfortunately, I still got the same error with python 3.11! :estimate_sparsity: 70%|███████ | 7983/11378 [3:11:25

Hello! I am indeed using linux. Here is the output of cat /etc/os-release: " NAME="Red Hat Enterprise Linux Server" VERSION="7.8 (Maipo)" ID="rhel" ID_LIKE="fedora" VARIANT="Server" VARIANT_ID="server" VERSION_ID="7.8" PRETTY_NAME="Red Hat Enterprise Linux"...

The recording I am currently working with outputs: " ConcatenateSegmentRecording: 384 channels - 30.0kHz - 1 segments - 341,317,801 samples 11,377.26s (3.16 hours) - int16 dtype - 244.13 GiB "...

Hello! I'll run a single session dataset overnight tonight. We are not using slurm; the cluster seems to be using "SGE 8.1.9", which stands for "Sun Grid Engine". I don't...

Hello! In fact I ran into a bug which I think is on my end; I'm going to de-prioritize this for a bit, since I was able to get it...

Hello Parallel processing worked fine for a single session; for that and other reasons, I think that the suggestion to request more RAM for my jobs is a good one....

(In fact, my solution didn't work for an obvious reason (extra can't be an integer) but I think the issue is otherwise well-specified)

Hello! Unfortunately I don't think I'll have time in the near-future to make a minimal script for this one, particularly as I don't know exactly what the root of the...