relax SVN archive

Added a sample script for back-calculating relaxation data from a model-free results file.

This is useful when the results file is not the final model, as these results file do not contain
the back-calculated data. This is in response to Christina Möller's sr #3303 support request
(https://gna.org/support/?3303).

Fix for GUI test: relax --gui-tests Relax_disp.test_paul_schanda_nov_2015 --time -d.

When loading from a script state file, the value of "None" can be present.
This is now set to the standard values.

Added GUI test: relax --gui-tests Relax_disp.test_paul_schanda_nov_2015 --time -d

This will show that loading a state will create a problem.

Traceback (most recent call last):
File "/Users/tlinnet/software/relax_trunk/test_suite/gui_tests/relax_disp.py", line 445, in test_paul_schanda_nov_2015
self.app.gui.state_load(file_name=state_file)
File "/Users/tlinnet/software/relax_trunk/gui/relax_gui.py", line 841, in state_load
self.sync_ds(upload=False)
File "/Users/tlinnet/software/relax_trunk/gui/relax_gui.py", line 893, in sync_ds
page.sync_ds(upload)
File "/Users/tlinnet/software/relax_trunk/gui/analyses/auto_relax_disp.py", line 646, in sync_ds
self.grid_inc.SetValue(int(self.data.grid_inc))
TypeError: int() argument must be a string or a number, not 'NoneType'

Added a temporary state and a script for GUI setup to the data Paul Schanda.

Extended the systemtest -s Relax_disp.test_paul_schanda_nov_2015 to include auto analysis and clustered fits.

This should show that the analysis is now possible.

Removed lines in example script.

Changed example script for analysing data.

Raising an error if plotting dispersion curves, and no model is saved.

Added the expectation of raising an relax error, if trying to plot and no model information is stored.

In the function of r2eff_read, in data module of the dispersion, added the possibilities to read
r2eff values which are replicated.

This is done first checking if the dispersion key exists in the r2eff dictionary.
If it exists, continue add 0.001 to the frequency until a new possibility exists.

This should help handle multiple R2eff points, as separate values and not taking any decision to average them.