relax SVN archive

Implemented writing and plotting of statistics for individual and clustered fitting, compararing to full NI.

Task #7826 (https://gna.org/task/index.php?7826): Write an python class for the repeated analysis of dispersion data.

Implemented getting the statistics for parameters and comparing to init NI.

Task #7826 (https://gna.org/task/index.php?7826): Write an python class for the repeated analysis of dispersion data.

Removed a debugging printout fatal for Python 3.

Created the Bmrb.test_bug_22704_corrupted_state_file system test.

This is to catch bug #22704 (https://gna.org/bugs/?22704), the corrupted relax state files after
setting the relax references via the bmrb.software, bmrb.display, or bmrb.write user functions.

The data pipe testing function has been converted to the strategy design pattern of the Check object.

The function pipe_control.pipes.test() has also been renamed to check_pipe().

Changed the behaviour of the lib.checks.Check object again.

This time the registered function is stored rather than converted into a class instance method.
That way the check_*() function-like objects do not need to accept the unused 'self' argument.

Reverted r26053, as this is no longer the case.

The command used was:
svn merge -r26053:r26052 .

.....
r26053 | bugman | 2014-09-26 11:44:00 +0200 (Fri, 26 Sep 2014) | 5 lines
Changed paths:
M /trunk/test_suite/system_tests/bmrb.py

Updated the Bmrb.test_bug_22703_display_empty system/GUI test.

The RelaxError type is now different.
.....

The default value of the escalate argument of the Check.__call__() method is now 2.

This will cause the calls to the check_*() function/objects to default to raising RelaxErrors.

Fixes for the lib.checks.Check object.

The __call__() method keyword arguments **kargs needs to be processed inside the method to strip out
the escalate argument.

Implemented the writing out of parameter values between comparison of NI level.

Task #7826 (https://gna.org/task/index.php?7826): Write an python class for the repeated analysis of dispersion data.