r4953 - /branches/N_state_model/test_suite/unit_tests/_maths_fns/test_n_state_model.py -- February 12, 2008 - 10:15

Author: bugman
Date: Tue Feb 12 10:15:06 2008
New Revision: 4953

URL: http://svn.gna.org/viewcvs/relax?rev=4953&view=rev
Log:
Fixes for all the unit tests of the maths_fns.n_state_model func() method.

The 'full_in_ref_frame' arg was required.


Modified:
    
branches/N_state_model/test_suite/unit_tests/_maths_fns/test_n_state_model.py

Modified: 
branches/N_state_model/test_suite/unit_tests/_maths_fns/test_n_state_model.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/N_state_model/test_suite/unit_tests/_maths_fns/test_n_state_model.py?rev=4953&r1=4952&r2=4953&view=diff
==============================================================================
--- 
branches/N_state_model/test_suite/unit_tests/_maths_fns/test_n_state_model.py 
(original)
+++ 
branches/N_state_model/test_suite/unit_tests/_maths_fns/test_n_state_model.py 
Tue Feb 12 10:15:06 2008
@@ -48,9 +48,10 @@
                               [[1.0, 0.0, 1.0], [0.0, 0.5, 0.0], [1.0, 0.0, 
-1.5]]], float64)
         red_data = array([1.0, 0.5, 0.0, 0.0, 0.0, 1.0, 0.5, 1.0, 0.0, 0.0, 
1.0, 0.5, 0.0, 1.0, 0.0], float64)
         err = ones(3*5, float64)
+        full_in_ref_frame = [1, 1, 1]
 
         # Set up the class.
-        model = N_state_opt(N=2, init_params=init_params, 
full_tensors=full_tensors, red_data=red_data, red_errors=err)
+        model = N_state_opt(N=2, init_params=init_params, 
full_tensors=full_tensors, red_data=red_data, red_errors=err, 
full_in_ref_frame=full_in_ref_frame)
 
         # Call the target function 3 times.
         for i in xrange(3):
@@ -77,9 +78,10 @@
                               [[1.0, 0.0, 1.0], [0.0, 0.0, 0.0], [1.0, 0.0, 
-1.0]]], float64)
         red_data = array([1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 
1.0, 0.0, 0.0, 1.0, 0.0], float64)
         err = ones(3*5, float64)
+        full_in_ref_frame = [1, 1, 1]
 
         # Set up the class.
-        model = N_state_opt(N=2, init_params=init_params, 
full_tensors=full_tensors, red_data=red_data, red_errors=err)
+        model = N_state_opt(N=2, init_params=init_params, 
full_tensors=full_tensors, red_data=red_data, red_errors=err, 
full_in_ref_frame=full_in_ref_frame)
 
         # Call the target function 3 times.
         for i in xrange(3):
@@ -106,9 +108,10 @@
                               [[1.0, 0.0, 1.0], [0.0, 0.5, 0.0], [1.0, 0.0, 
-1.5]]], float64)
         red_data = array([0.5, 1.0, 0.0, 0.0, 0.0, 0.5, 1.0, -1.0, 0.0, 0.0, 
0.5, 1.0, 0.0, 0.0, 1.0], float64)
         err = ones(3*5, float64)
+        full_in_ref_frame = [1, 1, 1]
 
         # Set up the class.
-        model = N_state_opt(N=2, init_params=init_params, 
full_tensors=full_tensors, red_data=red_data, red_errors=err)
+        model = N_state_opt(N=2, init_params=init_params, 
full_tensors=full_tensors, red_data=red_data, red_errors=err, 
full_in_ref_frame=full_in_ref_frame)
 
         # Call the target function 3 times.
         for i in xrange(3):
@@ -135,9 +138,10 @@
                               [[1.0, 0.0, 1.0], [0.0, 0.5, 0.0], [1.0, 0.0, 
-1.5]]], float64)
         red_data = array([0.75, 0.75, 0.0, 0.0, 0.0, 0.75, 0.75, 0.0, 0.0, 
0.0, 0.75, 0.75, 0.0, 0.5, 0.5], float64)
         err = ones(3*5, float64)
+        full_in_ref_frame = [1, 1, 1]
 
         # Set up the class.
-        model = N_state_opt(N=2, init_params=init_params, 
full_tensors=full_tensors, red_data=red_data, red_errors=err)
+        model = N_state_opt(N=2, init_params=init_params, 
full_tensors=full_tensors, red_data=red_data, red_errors=err, 
full_in_ref_frame=full_in_ref_frame)
 
         # Call the target function 3 times.
         for i in xrange(3):