r24172 - /branches/disp_spin_speed/lib/dispersion/ns_matrices.py -- June 19, 2014 - 21:05

Author: tlinnet
Date: Thu Jun 19 21:05:49 2014
New Revision: 24172

URL: http://svn.gna.org/viewcvs/relax?rev=24172&view=rev
Log:
Made the returned multidimensional rr1rho_3d_rankN, be of float64 type.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion 
models for Clustered analysis.

Modified:
    branches/disp_spin_speed/lib/dispersion/ns_matrices.py

Modified: branches/disp_spin_speed/lib/dispersion/ns_matrices.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/lib/dispersion/ns_matrices.py?rev=24172&r1=24171&r2=24172&view=diff
==============================================================================
--- branches/disp_spin_speed/lib/dispersion/ns_matrices.py      (original)
+++ branches/disp_spin_speed/lib/dispersion/ns_matrices.py      Thu Jun 19 
21:05:49 2014
@@ -525,7 +525,7 @@
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
         [0.0, 0.0, 0.0, -1.0, 0.0, 0.0],
         [0.0, 0.0, 0.0, 0.0, -1.0, 0.0],
-        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ])
+        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ], float64)
 
     m_wA = array([
         [0.0, -1.0, 0.0, 0.0, 0.0, 0.0],
@@ -533,7 +533,7 @@
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
-        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ])
+        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ], float64)
 
     m_wB = array([
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
@@ -541,7 +541,7 @@
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
         [0.0, 0.0, 0.0, 0.0, -1.0, 0.0],
         [0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
-        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ])
+        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ], float64)
 
     m_w1 = array([
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
@@ -549,7 +549,7 @@
         [0.0, 1.0, 0.0, 0.0, 0.0, 0.0],
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
         [0.0, 0.0, 0.0, 0.0, 0.0, -1.0],
-        [0.0, 0.0, 0.0, 0.0, 1.0, 0.0], ])
+        [0.0, 0.0, 0.0, 0.0, 1.0, 0.0], ], float64)
 
     m_k_AB = array([
         [-1.0, 0.0, 0.0, 0.0, 0.0, 0.0],
@@ -557,7 +557,7 @@
         [0.0, 0.0, -1.0, 0.0, 0.0, 0.0],
         [1.0, 0.0, 0.0, 0.0, 0.0, 0.0],
         [0.0, 1.0, 0.0, 0.0, 0.0, 0.0],
-        [0.0, 0.0, 1.0, 0.0, 0.0, 0.0], ])
+        [0.0, 0.0, 1.0, 0.0, 0.0, 0.0], ], float64)
 
     m_k_BA = array([
         [0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
@@ -565,7 +565,7 @@
         [0.0, 0.0, 0.0, 0.0, 0.0, 1.0],
         [0.0, 0.0, 0.0, -1.0, 0.0, 0.0],
         [0.0, 0.0, 0.0, 0.0, -1.0, 0.0],
-        [0.0, 0.0, 0.0, 0.0, 0.0, -1.0], ])
+        [0.0, 0.0, 0.0, 0.0, 0.0, -1.0], ], float64)
 
     m_R1 = array([
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
@@ -573,7 +573,7 @@
         [0.0, 0.0, -1.0, 0.0, 0.0, 0.0],
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
         [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
-        [0.0, 0.0, 0.0, 0.0, 0.0, -1.0], ])
+        [0.0, 0.0, 0.0, 0.0, 0.0, -1.0], ], float64)
 
     # Multiply and expand.
     mat_r1rho_prime = multiply.outer( r1rho_prime * relax_time, 
m_r1rho_prime )