r23789 - /branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_cr72.py -- June 10, 2014 - 16:51

Author: tlinnet
Date: Tue Jun 10 16:51:35 2014
New Revision: 23789

URL: http://svn.gna.org/viewcvs/relax?rev=23789&view=rev
Log:
Yet another small improvement for the profiling script.

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

Modified:
    
branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_cr72.py

Modified: 
branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_cr72.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_cr72.py?rev=23789&r1=23788&r2=23789&view=diff
==============================================================================
--- 
branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_cr72.py
      (original)
+++ 
branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_cr72.py
      Tue Jun 10 16:51:35 2014
@@ -54,10 +54,16 @@
 # Alter setup.
 def main():
     if True:
+        # Nr of iterations.
+        nr_iter = 1
+
+        # Print statistics.
+        verbose = True
+
         # Calc for single.
         s_filename = tempfile.NamedTemporaryFile(delete=False).name
         # Profile for a single spin.
-        cProfile.run('single(iter=1000)', s_filename)
+        cProfile.run('single(iter=%s)'%nr_iter, s_filename)
 
         # Read all stats files into a single object
         s_stats = pstats.Stats(s_filename)
@@ -69,13 +75,14 @@
         s_stats.sort_stats('cumulative')
 
         # Print report for single.
-        s_stats.print_stats()
+        if verbose:
+            s_stats.print_stats()
 
     if True:
         # Calc for cluster.
         c_filename = tempfile.NamedTemporaryFile(delete=False).name
         # Profile for a cluster of 100 spins.
-        cProfile.run('cluster(iter=1000)', c_filename)
+        cProfile.run('cluster(iter=%s)'%nr_iter, c_filename)
 
         # Read all stats files into a single object
         c_stats = pstats.Stats(c_filename)
@@ -87,7 +94,8 @@
         c_stats.sort_stats('cumulative')
 
         # Print report for clustered.
-        c_stats.print_stats()
+        if verbose:
+            c_stats.print_stats()
 
 
 class Profile(Dispersion):