Have you also tried looping over all of the DIFF_MODEL options in one
script, such as:
"""
MODELS_TO_RUN = ['local_tm', 'sphere', 'prolate', 'oblate', 'ellipsoid']
for DIFF_MODEL in MODELS_TO_RUN:
# execute the rest of the full_analysis protocol
# The model-free models (do not change these unless absolutely
necessary).
MF_MODELS = ['m0', 'm1', 'm2', 'm3', 'm4', 'm5', 'm6', 'm7',
'm8', 'm9']
LOCAL_TM_MODELS = ['tm0', 'tm1', 'tm2', 'tm3', 'tm4', 'tm5',
'tm6', 'tm7', 'tm8', 'tm9']
# The type of heteronucleus.
HETNUC = 'N'
......
"""
If so, can you post an example? I initially tried something like
this, but started seeing an error. So I dropped back down to a basic
full_analysis.py script, but saw the error I sent in a previous post.
Thanks,
Doug
On Aug 29, 2007, at 10:16 AM, Sebastien Morin wrote:
Hi all,
I just tried, a couple of days ago, the CONV_LOOP = 1 option in the
full_analysis,py script.
Strangely (as opposed to Douglas), it works well for me with
different DIFF_MODEL options. Also, I get the same exact results
for differents rounds of calculation/optimization (chi-squared,
model convergence, etc).
I used line 1.2 revision 3354.
Cheers
Séb
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