mailr7166 - /branches/rdc_analysis/maths_fns/n_state_model.py


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Posted by edward on August 12, 2008 - 12:10:
Author: bugman
Date: Tue Aug 12 10:50:18 2008
New Revision: 7166

URL: http://svn.gna.org/viewcvs/relax?rev=7166&view=rev
Log:
Fixes for the __init__() docstring.


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=7166&r1=7165&r2=7166&view=diff
==============================================================================
--- branches/rdc_analysis/maths_fns/n_state_model.py (original)
+++ branches/rdc_analysis/maths_fns/n_state_model.py Tue Aug 12 10:50:18 2008
@@ -131,10 +131,10 @@
                                     the spin systems and the second index to 
each structure (its
                                     size being equal to the number of 
states).
         @type xh_vect:              numpy rank-2 array
-        @keyword pcs_const:         The pseudocontact shift constants for 
each XH vector.  The
-                                    indices correspond to the experiments or 
alignment media i and
-                                    the spin systems j.
-        @type pcs_const:            numpy rank-1 array
+        @keyword pcs_const:         The pseudocontact shift constants for 
each nucleus.  The indices
+                                    correspond to the experiments or 
alignment media i, the spin
+                                    systems j, and the state or structure c.
+        @type pcs_const:            numpy rank-3 array
         @keyword dip_const:         The dipolar constants for each XH 
vector.  The indices
                                     correspond to the spin systems j.
         @type dip_const:            numpy rank-1 array
@@ -265,7 +265,6 @@
                     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.
             self.deltaij_theta = zeros((self.num_align, self.num_spins), 
float64)




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