r25015 - /branches/R1_fitting/test_suite/system_tests/relax_disp.py -- August 13, 2014 - 21:30

Author: tlinnet
Date: Wed Aug 13 21:30:10 2014
New Revision: 25015

URL: http://svn.gna.org/viewcvs/relax?rev=25015&view=rev
Log:
Triggering an error in test_r1rho_kjaergaard_missing_r1.

There is a bug fetching the standard value of parameter 'r1_fit'.

  File 
"/Users/tlinnet/software/R1_fitting/specific_analyses/relax_disp/optimisation.py",
 line 546, in __init__
    self.param_vector = assemble_param_vector(spins=self.spins)
  File 
"/Users/tlinnet/software/R1_fitting/specific_analyses/relax_disp/parameters.py",
 line 59, in assemble_param_vector
    value = get_value(key=key, spins=spins, sim_index=sim_index, 
param_name=param_name, spin_index=spin_index, r20_key=r20_key)
  File 
"/Users/tlinnet/software/R1_fitting/specific_analyses/relax_disp/parameters.py",
 line 407, in get_value
    if r20_key in obj.keys():
AttributeError: 'float' object has no attribute 'keys'

sr #3135(https://gna.org/support/?3135): Optimisation of the R1 relaxation 
rate for the off-resonance R1rho relaxation dispersion models.

Modified:
    branches/R1_fitting/test_suite/system_tests/relax_disp.py

Modified: branches/R1_fitting/test_suite/system_tests/relax_disp.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/R1_fitting/test_suite/system_tests/relax_disp.py?rev=25015&r1=25014&r2=25015&view=diff
==============================================================================
--- branches/R1_fitting/test_suite/system_tests/relax_disp.py   (original)
+++ branches/R1_fitting/test_suite/system_tests/relax_disp.py   Wed Aug 13 
21:30:10 2014
@@ -5134,7 +5134,7 @@
         MODELS = [MODEL_R2EFF, MODEL_NOREX_R1RHO_FIT_R1, MODEL_DPL94_FIT_R1, 
MODEL_TP02_FIT_R1, MODEL_TAP03_FIT_R1, MODEL_MP05_FIT_R1, 
MODEL_NS_R1RHO_2SITE_FIT_R1]
 
         # The grid search size (the number of increments per dimension).
-        GRID_INC = 10
+        GRID_INC = None
 
         # The number of Monte Carlo simulations to be used for error 
analysis at the end of the analysis.
         MC_NUM = 3