relax SVN archive

Merged revisions 24058 via svnmerge from
svn+ssh://tlinnet@.../svn/relax/trunk

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r24058 | bugman | 2014-06-17 19:46:10 +0200 (Tue, 17 Jun 2014) | 6 lines

Fix for the Library.test_library_independence verification test on MS Windows.

The tearDown() method now uses the error handling test_suite.clean_up.deletion() function to remove
the copied version of the relax library.
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Fixed the ordering of the relax versions in the dispersion super profiling script disp_profile_all.py.

This has also been fixed in the disp_spin_speed branch to relax 3.2.2 comparison log.

Made the processor.return_object get the back_calc structure in the expected order.

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

Added a log file for comparing the speed of the disp_speed_branch to relax 3.2.2.

This is from the disp_profile_all.py statistics generating script.

Increased the number of iterations to 1000 in all of the profiling scripts.

This is for better statistics in the disp_profile_all.py script, and makes the number consistent
between the different models.

Created a super script for profiling the relaxation dispersion models.

This script will execute all of the current profiling scripts in the directory
test_suite/shared_data/dispersion/profiling for both the current version of relax and any other
specified version (current set to the 3.2.2 relax tag). It will run the scripts and relax versions
interleaved N=10 times and extract the func_*() target function call profile timings. This
interleaving makes the numbers much more consistent. Averages and standard deviations are then
calculated, as well as the speed up between the two relax versions. The results are printed out in
a format suitable for the relax release messages.

Copyright fix for model TSMFK01.

Sebastien Morin did not take part of implementing the TSMK01 modelÃ.

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

Copyright fixes for all the models, where Troels E. Linnet have made changes to make them functional for higher dimensional data.

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

Replaced double or triple hash-tags "##" with single hash-tags "#".

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

Python 3 support for the dispersion profiling scripts.

The xrange() builtin function does not exist in Python 3, so this is now aliased to range() which is
the same thing.