r22395 - /trunk/test_suite/system_tests/relax_disp.py -- March 03, 2014 - 12:47

Author: tlinnet
Date: Mon Mar  3 12:47:50 2014
New Revision: 22395

URL: http://svn.gna.org/viewcvs/relax?rev=22395&view=rev
Log:
Re-ordered code-lines in system test Relax_disp.test_r1rho_kjaergaard.

Regarding bug #21344, (https://gna.org/bugs/index.php?21344) - Handling of in 
sparse acquired R1rho dataset with missing combinations of time and spin-lock 
field strengths.

Modified:
    trunk/test_suite/system_tests/relax_disp.py

Modified: trunk/test_suite/system_tests/relax_disp.py
URL: 
http://svn.gna.org/viewcvs/relax/trunk/test_suite/system_tests/relax_disp.py?rev=22395&r1=22394&r2=22395&view=diff
==============================================================================
--- trunk/test_suite/system_tests/relax_disp.py (original)
+++ trunk/test_suite/system_tests/relax_disp.py Mon Mar  3 12:47:50 2014
@@ -2745,18 +2745,6 @@
         guess[':52@N'] = [52, 'V52N-HN', 1.0, 0.1, 6.00, 1.4, 10000.0, 
2000.0, 90000.00, 30000.0]
         guess[':53@N'] = [53, 'A53N-HN', 1.0, 0.1, 4.00, 0.8, 10000.0, 
2000.0, 30000.00, 10000.0]
 
-        # The dispersion models.
-        MODELS = ['R2eff', 'DPL94']
-
-        # The grid search size (the number of increments per dimension).
-        GRID_INC = 4
-
-        # The number of Monte Carlo simulations to be used for error 
analysis at the end of the analysis.
-        MC_NUM = 3
-
-        # Model selection technique.
-        MODSEL = 'AIC'
-
         # Alias spins
         for spin, spin_id in spin_loop(return_id=True):
             if spin_id in cluster_ids:
@@ -2794,6 +2782,18 @@
                     spin53 = return_spin(spin_id=spin_id)   
             else:
                 print("spin_id %s NOT in cluster ids"%(spin_id))
+
+        # The dispersion models.
+        MODELS = ['R2eff', 'DPL94']
+
+        # The grid search size (the number of increments per dimension).
+        GRID_INC = 4
+
+        # The number of Monte Carlo simulations to be used for error 
analysis at the end of the analysis.
+        MC_NUM = 3
+
+        # Model selection technique.
+        MODSEL = 'AIC'
 
         # Execute the auto-analysis (fast).
         # Standard parameters are: func_tol=1e-25, grad_tol=None, 
max_iter=10000000,