r23734 - /branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_cr72.py -- June 08, 2014 - 19:48

Author: tlinnet
Date: Sun Jun  8 19:48:29 2014
New Revision: 23734

URL: http://svn.gna.org/viewcvs/relax?rev=23734&view=rev
Log:
Made it easier to switch between single and cluster reporting in 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=23734&r1=23733&r2=23734&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
      Sun Jun  8 19:48:29 2014
@@ -53,40 +53,41 @@
 
 # Alter setup.
 def main():
-    # Calc for single.
-    s_filename = tempfile.NamedTemporaryFile(delete=False).name
-    # Profile for a single spin.
-    cProfile.run('single(iter=1000)', s_filename)
-
-    # Read all stats files into a single object
-    s_stats = pstats.Stats(s_filename)
-
-    # Clean up filenames for the report
-    s_stats.strip_dirs()
-
-    # Sort the statistics by the cumulative time spent in the function. 
cumulative, time, calls
-    s_stats.sort_stats('cumulative')
-
-    # Print report for single.
-    s_stats.print_stats()
-
-    # Calc for cluster.
-    c_filename = tempfile.NamedTemporaryFile(delete=False).name
-    # Profile for a cluster of 100 spins.
-    cProfile.run('cluster(iter=1000)', c_filename)
-
-    # Read all stats files into a single object
-    c_stats = pstats.Stats(c_filename)
-    #stats.add(c_filename)
-
-    # Clean up filenames for the report
-    c_stats.strip_dirs()
-
-    # Sort the statistics by the cumulative time spent in the function. 
cumulative, time, calls
-    c_stats.sort_stats('cumulative')
-
-    # Print report for clustered.
-    c_stats.print_stats()
+    if True:
+        # Calc for single.
+        s_filename = tempfile.NamedTemporaryFile(delete=False).name
+        # Profile for a single spin.
+        cProfile.run('single(iter=1000)', s_filename)
+
+        # Read all stats files into a single object
+        s_stats = pstats.Stats(s_filename)
+
+        # Clean up filenames for the report
+        s_stats.strip_dirs()
+
+        # Sort the statistics by the cumulative time spent in the function. 
cumulative, time, calls
+        s_stats.sort_stats('cumulative')
+
+        # Print report for single.
+        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)
+
+        # Read all stats files into a single object
+        c_stats = pstats.Stats(c_filename)
+
+        # Clean up filenames for the report
+        c_stats.strip_dirs()
+
+        # Sort the statistics by the cumulative time spent in the function. 
cumulative, time, calls
+        c_stats.sort_stats('cumulative')
+
+        # Print report for clustered.
+        c_stats.print_stats()
 
 
 class Profile(Dispersion):