Hi All,
Is it possible to edit full_analysis.py so the optimization of MII to
MV (self.round > 0) is done automatically by looping until
convergence? I tried to do this by modifying the following in
convergence() [near the end]:
"""
# Final print out.
##################
print "\nConvergence:"
if chi2_converged and models_converged and params_converged:
print " [ Yes ]"
return 1
else:
print " [ No ]"
return 0
"""
then modifying __init__(), at the end of the "elif DIFF_MODEL ==
'sphere' or DIFF_MODEL == 'prolate' or DIFF_MODEL == 'oblate' or
DIFF_MODEL == 'ellipsoid':" statement:
"""
# Test for convergence.
test=self.convergence(run=name)
if test == 0:
__init__(self.relax)
#Main(self.relax)
"""
but it did not work properly. I think the problem has something to
do with the call to __init__() or Main(). I'll see if I can dig up
the error reported by relax.
Thanks,
Doug
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