Hi Séb,
I've been using the -t flag creating one large log, so I think this:
For analysis where some kind of looping is done (like here), the logs could be separated into different steps. For the full_analysis.py script, logging could be done independantly for each round and added to the other directories created...
aic/ m0/ m1/ m2/ m3/ m4/ m5/ m6/ m7/ m8/ m9/ opt/ log
and this:
Maybe, also, two versions of the log could created, one detailed and one only logging main topics so one can easily follow the processes. This could be interesting for people not familiar with the details of relax and of the approaches used for calculation/optimization...
would be extremely useful.
Doug
On Oct 22, 2007, at 4:15 PM, Sebastien Morin wrote: Hi all !
First of all, I think that the new feature for automatic looping is quite interesting..!
However, I think that something could be done to make the analysis easier.
When one starts a relax run, text is sent to the standard output. I usually redirect this text to a log file so I can analyze if any trouble arises...
I think that logging should be automatic. This would not mean that standard output would be suppress, but rather that standard output would be, also, saved in a text file along with the results.
For analysis where some kind of looping is done (like here), the logs could be separated into different steps. For the full_analysis.py script, logging could be done independantly for each round and added to the other directories created...
aic/ m0/ m1/ m2/ m3/ m4/ m5/ m6/ m7/ m8/ m9/ opt/ log
You may say that we can manually do that, but when using the automatic looping options, one would get a huge log...
Maybe, also, two versions of the log could created, one detailed and one only logging main topics so one can easily follow the processes. This could be interesting for people not familiar with the details of relax and of the approaches used for calculation/optimization...
Let me know what you think of this and also if I'm being clear or not...
Cheers
Séb :)
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Re: looping the optimization in full_analysis.py