mailr22878 - /trunk/test_suite/system_tests/relax_disp.py


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Posted by tlinnet on April 29, 2014 - 15:38:
Author: tlinnet
Date: Tue Apr 29 15:38:33 2014
New Revision: 22878

URL: http://svn.gna.org/viewcvs/relax?rev=22878&view=rev
Log:
Fix for systemtest Relax_disp.test_set_grid_r20_from_min_r2eff_cpmg.

Feature request: #3151, (https://gna.org/support/index.php?3151) - User 
function to set the R20 parameters in the default grid search using the 
minimum R2eff value.

Fixed values for testing was added.

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=22878&r1=22877&r2=22878&view=diff
==============================================================================
--- trunk/test_suite/system_tests/relax_disp.py (original)
+++ trunk/test_suite/system_tests/relax_disp.py Tue Apr 29 15:38:33 2014
@@ -3403,19 +3403,19 @@
         select_spin_index = range(0,1)
         self.setup_sod1wt_t25(pipe_name=pipe_name, pipe_type=pipe_type, 
pipe_name_r2eff=pipe_name_r2eff, select_spin_index=select_spin_index)
 
-        # Generate r20 keu
+        # Generate r20 key.
         r20_key_600 = generate_r20_key(exp_type=EXP_TYPE_CPMG_SQ, 
frq=599.8908617*1E6)
         r20_key_500 = generate_r20_key(exp_type=EXP_TYPE_CPMG_SQ, 
frq=499.862139*1E6)
 
-        ## Now prepare for MODEL calculation
+        ## Now prepare for MODEL calculation.
         MODEL = "CR72"
 
-        # Change pipe
+        # Change pipe.
         pipe_name_MODEL = "%s_%s"%(pipe_name, MODEL)
         self.interpreter.pipe.copy(pipe_from=pipe_name_r2eff, 
pipe_to=pipe_name_MODEL)
         self.interpreter.pipe.switch(pipe_name=pipe_name_MODEL)
 
-        # Then select model
+        # Then select model.
         self.interpreter.relax_disp.select_model(model=MODEL)
 
         # Set the R20 parameters in the default grid search using the 
minimum R2eff value.
@@ -3423,15 +3423,21 @@
 
         # Test result, for normal run.
         for spin, mol_name, resi, resn, spin_id in spin_loop(full_info=True, 
return_id=True, skip_desel=True):
-            # Get the spin_params
+            # Get the spin_params.
             spin_params = spin.params
-            # Print out
+
+            # Defined fixed values for testing.
+            if spin_id == ":10@N":
+                self.assertEqual(spin.r2[r20_key_600], 20.282732526087106)
+                self.assertEqual(spin.r2[r20_key_500], 18.475299724356649)
+
+            # Print out.
             print("r2_600=%2.2f r2_500=%2.2f spin_id=%s resi=%i 
resn=%s"%(spin.r2[r20_key_600], spin.r2[r20_key_500], spin_id, resi, resn))
 
             # Testing the r2 values for the different fields are not the 
same.
             self.assert_(spin.r2[r20_key_600] != spin.r2[r20_key_500])
 
-            # Test values are larger than 0
+            # Test values are larger than 0.
             self.assert_(spin.r2[r20_key_600] > 0.0)
             self.assert_(spin.r2[r20_key_500] > 0.0)
 
@@ -3442,18 +3448,18 @@
                 # Create the data key.
                 data_key = return_param_key_from_data(exp_type=exp_type, 
frq=frq, offset=offset, point=point)
 
-                # Extract the r2 eff data
+                # Extract the r2 eff data.
                 r2eff = spin.r2eff[data_key]
                 if frq == 599.8908617*1E6:
                     r2eff_600.append(r2eff)
                 elif frq == 499.862139*1E6:
                     r2eff_500.append(r2eff)
 
-            # Sort values
+            # Sort values.
             r2eff_600.sort()
             r2eff_500.sort()
 
-            # Test values again
+            # Test values again.
             print("For r20 600MHz min r2eff=%3.3f."%(min(r2eff_600)))
             print(r2eff_600)
             self.assertEqual(spin.r2[r20_key_600], min(r2eff_600))
@@ -3467,31 +3473,31 @@
         print("###########################################")
         print("Trying GRID SEARCH for minimum R2eff values")
 
-        ### Test just the Grid search
+        ### Test just the Grid search.
         GRID_INC = 5
 
         self.interpreter.grid_search(lower=None, upper=None, inc=GRID_INC, 
constraints=True, verbosity=1)
 
-        ### Then test the value.set function
-        # Change pipe
+        ### Then test the value.set function.
+        # Change pipe.
         pipe_name_MODEL = "%s_%s_2"%(pipe_name, MODEL)
         self.interpreter.pipe.copy(pipe_from=pipe_name_r2eff, 
pipe_to=pipe_name_MODEL)
         self.interpreter.pipe.switch(pipe_name=pipe_name_MODEL)
 
-        # Then select model
+        # Then select model.
         self.interpreter.relax_disp.select_model(model=MODEL)
 
-        # Then set the standard parameter values
+        # Then set the standard parameter values.
         for param in spin_params:
             print("Setting standard parameter for param: %s"%param)
             self.interpreter.value.set(param=param, index=None)
 
         # Test result, for normal run.
         for spin, mol_name, resi, resn, spin_id in spin_loop(full_info=True, 
return_id=True, skip_desel=True):
-            # Print out
+            # Print out.
             print("r2_600=%2.2f r2_500=%2.2f pA=%2.2f, dw=%2.2f, kex=%2.2f, 
spin_id=%s resi=%i resn=%s"%(spin.r2[r20_key_600], spin.r2[r20_key_500], 
spin.pA, spin.dw, spin.kex, spin_id, resi, resn))
 
-            # Testing the r2 values
+            # Testing the r2 values.
             self.assertEqual(spin.r2[r20_key_600], 10.00)
             self.assertEqual(spin.r2[r20_key_500], 10.00)
             self.assertEqual(spin.pA, 0.5)
@@ -3501,12 +3507,12 @@
         print("###########################################")
         print("Trying GRID SEARCH for standard R2eff values")
 
-        ### Test just the Grid search
+        ### Test just the Grid search.
         GRID_INC = 5
 
         self.interpreter.grid_search(lower=None, upper=None, inc=GRID_INC, 
constraints=True, verbosity=1)
 
-        ### Run auto_analysis
+        ### Run auto_analysis.
         # The grid search size (the number of increments per dimension).
         GRID_INC = 5
 
@@ -3517,7 +3523,7 @@
         MODSEL = 'AIC'
 
         # Execute the auto-analysis (fast).
-        # Standard parameters are: func_tol=1e-25, grad_tol=None, 
max_iter=10000000,
+        # Standard parameters are: func_tol=1e-25, grad_tol=None, 
max_iter=10000000.
         OPT_FUNC_TOL = 1e-1
         relax_disp.Relax_disp.opt_func_tol = OPT_FUNC_TOL
         OPT_MAX_ITERATIONS = 1000




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