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Comments
Hi @Jessica Bourgin ,
Since you mention launching 'offline' and 'online', I'm guessing that you don't mean that OpenSesame itself takes this long to start, but that the freeze happens when you start an experiment. Is that correct?
There are many reasons why this might happen, but to trace it down, I would try the following:
-- Sebastiaan
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Hi @sebastiaan,
Thanks for your reply. Sorry I wasn't clear, I mean that OpenSesame is long to start, not an experiment.
What happens is the following :
I looked at the Anaconda prompt and did not see any warning or error message appear.
Thanks for your help.
Best regards,
Jessica
Hi @Jessica Bourgin ,
If you pass the
-d
command line argument (opensesame -d
), then OpenSesame will write debugging output to a log file, the location of which will be indicated in the terminal. You should be able to tell where the delay comes from by looking at the timestamps in the debug log. Basically, if you see that two lines are separated by 10 minutes, then that's where things go wrong. Could you do that? You can also just attach the debug log to this discussion, so that I can take a look.— Sebastiaan
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Hi @sebastiaan,
Thanks a lot for your response. I just tried with that and it seems that the webbrowser widget is responsible (see debug file attached):
I couldn't find information about this widget. Is it something I can delete or deactivate safely?
I noticed another difference when I run OpenSesame with and without an Internet connection. When I run it offline, the following message appear every 100 ms or so:
Do you know what this means and can it impair the performance while the experiment runs?
Thanks for your help.
Best,
Jessica
Hi @Jessica Bourgin ,
It seems that the delay comes from something that involves the webbrowser component. This is used by various extensions, including the
analytics
extension, theget_started
extension, and theafter_experiment
extension (but this is not done at startup). Can you try disabling theget_started
andanalytics
extensions both separately and together to see whether any of these three combinations resolves the issue?Do you know what this means and can it impair the performance while the experiment runs?
It means that the Python kernel in the Jupyter Console keeps crashing and being restarted. And yes, this takes a bit of CPU and therefore could potentially cause delays.
In general, I suspect that there's something on the system interfering with network connections, and that this results in all the things that you run into (which all seem related to network connectivity). A pragmatic workaround for now would be to use
opensesamerun
, which has none of these bells and whistles.— Sebastiaan
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Hi @sebastiaan,
Thanks a lot for your answer!
Unfortunately, disabling
analytics
orget_started
, or both did not solve the issue.Since I don't need specifically to code on this computer, but indeed to run the experiment, I will do as you suggest and use
opensesamerun
instead ofopensesame
. Thanks for the advice!Best,
Jessica