r7087 - /branches/rdc_analysis/maths_fns/n_state_model.py -- August 08, 2008 - 06:12

Author: bugman
Date: Thu Aug  7 18:04:30 2008
New Revision: 7087

URL: http://svn.gna.org/viewcvs/relax?rev=7087&view=rev
Log:
Spelling fix in the docstrings.
 

Modified:
    branches/rdc_analysis/maths_fns/n_state_model.py

Modified: branches/rdc_analysis/maths_fns/n_state_model.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/rdc_analysis/maths_fns/n_state_model.py?rev=7087&r1=7086&r2=7087&view=diff
==============================================================================
--- branches/rdc_analysis/maths_fns/n_state_model.py (original)
+++ branches/rdc_analysis/maths_fns/n_state_model.py Thu Aug  7 18:04:30 2008
@@ -188,17 +188,21 @@
             dAi_dAxz(self.dA[3])
             dAi_dAyz(self.dA[4])
 
-            # Missing data matrices.
-            self.missing_Dij = zeros((self.num_align, self.num_spins), 
float64)
-            for i in xrange(self.num_align):
-                for j in xrange(self.num_spins):
-                    if isNaN(self.Dij[i, j]):
-                        self.missing_Dij[i, j] = 1
-            self.missing_deltaij = zeros((self.num_align, self.num_spins), 
float64)
-            for i in xrange(self.num_align):
-                for j in xrange(self.num_spins):
-                    if isNaN(self.deltaij[i, j]):
-                        self.missing_deltaij[i, j] = 1
+            # Missing data matrices (RDC).
+            if self.rdc_flag:
+                self.missing_Dij = zeros((self.num_align, self.num_spins), 
float64)
+                for i in xrange(self.num_align):
+                    for j in xrange(self.num_spins):
+                        if isNaN(self.Dij[i, j]):
+                            self.missing_Dij[i, j] = 1
+
+            # Missing data matrices (PCS).
+            if self.pcs_flag:
+                self.missing_deltaij = zeros((self.num_align, 
self.num_spins), float64)
+                for i in xrange(self.num_align):
+                    for j in xrange(self.num_spins):
+                        if isNaN(self.deltaij[i, j]):
+                            self.missing_deltaij[i, j] = 1
 
 
             # PCS function, gradient, and Hessian matrices.