r27840 - /trunk/auto_analyses/relax_disp_repeat_cpmg.py -- May 27, 2015 - 03:09

Author: tlinnet
Date: Wed May 27 03:09:48 2015
New Revision: 27840

URL: http://svn.gna.org/viewcvs/relax?rev=27840&view=rev
Log:
Adding keyword for verbosity for multi processor mode.

Task #7826 (https://gna.org/task/?7826): Write an python class for the 
repeated analysis of dispersion data.

Modified:
    trunk/auto_analyses/relax_disp_repeat_cpmg.py

Modified: trunk/auto_analyses/relax_disp_repeat_cpmg.py
URL: 
http://svn.gna.org/viewcvs/relax/trunk/auto_analyses/relax_disp_repeat_cpmg.py?rev=27840&r1=27839&r2=27840&view=diff
==============================================================================
--- trunk/auto_analyses/relax_disp_repeat_cpmg.py       (original)
+++ trunk/auto_analyses/relax_disp_repeat_cpmg.py       Wed May 27 03:09:48 
2015
@@ -781,7 +781,7 @@
             print("Clustered spins are:", cdp.clustering)
 
 
-    def minimise_execute(self, verbosity=1, methods=None, model=None, 
model_from=None, analysis=None, analysis_from=None, list_glob_ini=None, 
force=False, mc_err_analysis=False):
+    def minimise_execute(self, verbosity=1, methods=None, model=None, 
model_from=None, analysis=None, analysis_from=None, list_glob_ini=None, 
force=False, mc_err_analysis=False, mp_verbosity=0):
         """Use value.set on all pipes."""
 
         # Set default
@@ -826,7 +826,7 @@
                     subsection(file=sys.stdout, text="Performing Monte-Carlo 
minimisations on %i simulations"%(getattr(cdp, "sim_number")), prespace=0)
 
                 # Do the minimisation.
-                self.interpreter.minimise.execute(min_algor=self.min_algor, 
func_tol=self.opt_func_tol, max_iter=self.opt_max_iterations, 
constraints=self.constraints, scaling=True, verbosity=verbosity)
+                self.interpreter.minimise.execute(min_algor=self.min_algor, 
func_tol=self.opt_func_tol, max_iter=self.opt_max_iterations, 
constraints=self.constraints, scaling=True, verbosity=verbosity, 
mp_verbosity=mp_verbosity)
 
                 # Do Monte-Carlo error analysis
                 if mc_err_analysis: