r18437 - /trunk/maths_fns/n_state_model.py -- February 07, 2013 - 16:49

Author: bugman
Date: Thu Feb  7 16:49:20 2013
New Revision: 18437

URL: http://svn.gna.org/viewcvs/relax?rev=18437&view=rev
Log:
Spacing fixes as identified by the Python 2to3 conversion program.


Modified:
    trunk/maths_fns/n_state_model.py

Modified: trunk/maths_fns/n_state_model.py
URL: 
http://svn.gna.org/viewcvs/relax/trunk/maths_fns/n_state_model.py?rev=18437&r1=18436&r2=18437&view=diff
==============================================================================
--- trunk/maths_fns/n_state_model.py (original)
+++ trunk/maths_fns/n_state_model.py Thu Feb  7 16:49:20 2013
@@ -958,9 +958,9 @@
             if not self.centre_fixed:
                 for j in range(self.num_spins):
                     if self.pcs_flag[align_index] and not 
self.missing_deltaij[align_index, j]:
-                        self.ddeltaij_theta[-3, align_index, j] = 
ave_pcs_tensor_ddeltaij_dc(ddj=self.dpcs_const_theta[align_index, j, :, 0], 
dj=self.pcs_const[align_index, j], r=self.paramag_dist[j], 
unit_vect=self.paramag_unit_vect[j], N=self.N, Ai=self.A[align_index], 
dr_dc=self.dr_theta[0], weights=self.probs)
-                        self.ddeltaij_theta[-2, align_index, j] = 
ave_pcs_tensor_ddeltaij_dc(ddj=self.dpcs_const_theta[align_index, j, :, 1], 
dj=self.pcs_const[align_index, j], r=self.paramag_dist[j], 
unit_vect=self.paramag_unit_vect[j], N=self.N, Ai=self.A[align_index], 
dr_dc=self.dr_theta[1], weights=self.probs)
-                        self.ddeltaij_theta[-1, align_index, j] = 
ave_pcs_tensor_ddeltaij_dc(ddj=self.dpcs_const_theta[align_index, j, :, 2], 
dj=self.pcs_const[align_index, j], r=self.paramag_dist[j], 
unit_vect=self.paramag_unit_vect[j], N=self.N, Ai=self.A[align_index], 
dr_dc=self.dr_theta[2], weights=self.probs)
+                        self.ddeltaij_theta[-3, align_index, j] = 
ave_pcs_tensor_ddeltaij_dc(ddj=self.dpcs_const_theta[align_index, j,:, 0], 
dj=self.pcs_const[align_index, j], r=self.paramag_dist[j], 
unit_vect=self.paramag_unit_vect[j], N=self.N, Ai=self.A[align_index], 
dr_dc=self.dr_theta[0], weights=self.probs)
+                        self.ddeltaij_theta[-2, align_index, j] = 
ave_pcs_tensor_ddeltaij_dc(ddj=self.dpcs_const_theta[align_index, j,:, 1], 
dj=self.pcs_const[align_index, j], r=self.paramag_dist[j], 
unit_vect=self.paramag_unit_vect[j], N=self.N, Ai=self.A[align_index], 
dr_dc=self.dr_theta[1], weights=self.probs)
+                        self.ddeltaij_theta[-1, align_index, j] = 
ave_pcs_tensor_ddeltaij_dc(ddj=self.dpcs_const_theta[align_index, j,:, 2], 
dj=self.pcs_const[align_index, j], r=self.paramag_dist[j], 
unit_vect=self.paramag_unit_vect[j], N=self.N, Ai=self.A[align_index], 
dr_dc=self.dr_theta[2], weights=self.probs)
 
             # Construct the chi-squared gradient element for parameter k, 
alignment i.
             for k in range(self.total_num_params):