r22698 - /trunk/test_suite/system_tests/scripts/n_state_model/5_state_xz.py -- April 10, 2014 - 19:26

Author: bugman
Date: Thu Apr 10 19:26:50 2014
New Revision: 22698

URL: http://svn.gna.org/viewcvs/relax?rev=22698&view=rev
Log:
Converted the N_state_model.test_5_state_xz system test to use a new way to 
set parameters.

Instead of using pseudo-parameters for the value.set user function such as 
'p0', 'p1', etc. for the
probabilities, which are then converted into the 'probs' parameter with the 
index taken from the
name, instead the index is now directly given.  The value.set user function 
will need to be modified
to handle this.  The aim is to standardise the parameter list object for the 
N-state model analysis.


Modified:
    trunk/test_suite/system_tests/scripts/n_state_model/5_state_xz.py

Modified: trunk/test_suite/system_tests/scripts/n_state_model/5_state_xz.py
URL: 
http://svn.gna.org/viewcvs/relax/trunk/test_suite/system_tests/scripts/n_state_model/5_state_xz.py?rev=22698&r1=22697&r2=22698&view=diff
==============================================================================
--- trunk/test_suite/system_tests/scripts/n_state_model/5_state_xz.py   
(original)
+++ trunk/test_suite/system_tests/scripts/n_state_model/5_state_xz.py   Thu 
Apr 10 19:26:50 2014
@@ -65,10 +65,10 @@
 
 # Set the initial parameter values to the actual values (the grid search is 
too expensive).
 for i in range(5):
-    self._execute_uf(0.2, 'p'+repr(i), uf_name='value.set')
-    self._execute_uf(0.0, 'alpha'+repr(i), uf_name='value.set')
-    self._execute_uf(pi/4-pi/8*i, 'beta'+repr(i), uf_name='value.set')
-    self._execute_uf(0.0, 'gamma'+repr(i), uf_name='value.set')
+    self._execute_uf(uf_name='value.set', val=0.2, param='probs', index=i)
+    self._execute_uf(uf_name='value.set', val=0.0, param='alpha', index=i)
+    self._execute_uf(uf_name='value.set', val=pi/4-pi/8*i, param='beta', 
index=i)
+    self._execute_uf(uf_name='value.set', val=0.0, param='gamma', index=i)
 #self._execute_uf(uf_name='value.set')
 
 # Minimise.