relax SVN archive

Removed the iteration count check in the test_opt_rigid_rand_rot() system test.

This number is different on a PowerPC chip with Mac OS X, even if the parameter values are
identical. This was identified by Jack Howarth (howarth att bromo dot med dot uc dot edu) in the
post https://mail.gna.org/public/relax-users/2010-02/msg00025.html.

Fix for the angles system test for the new folding of the spherical angles.

The spheroidal diffusion tensor major axis angles are now folded using angles.fold_spherical_angles().

Added default lower and upper bounds to fold_spherical_angles().

More epydoc tags have been added.

The fold_spherical_angles() performs a second wrapping in case the angles shift out of the window.

Window size checks have also been added.

Added a new function fold_spherical_angles() for removing symmetry from spherical angles.

This will be useful for future use of these angles.

Fix for a bug introduced in the last revision (r10940).

This affects the spherical angles used to define the spheroidal diffusion tensor major axis.

Bug fix and updates to the generic_fns.angles.wrap_angles() function.

This was not wrapping correctly when the window was not between 0 and 2pi. Epydoc tags have been
added to the docstring, the window size can now be specified and is checked against the bounds as a
sanity check, and comments have been added all over.

All of the relevant status information about the dAuvergne_protocol auto-analysis is being stored.

This includes:
status.dAuvergne_protocol.diff_model = None # The global diffusion model.
status.dAuvergne_protocol.round = None # The round of optimisation, i.e. the global iteration.
status.dAuvergne_protocol.mf_models = None # The list of model-free models for optimisation, i.e. the global iteration.
status.dAuvergne_protocol.local_mf_models = None # The list of model-free local tm models for optimisation, i.e. the global iteration.
status.dAuvergne_protocol.current_model = None # The current model-free model.
status.dAuvergne_protocol.convergence = False # The convergence of the global model.

The Monte Carlo simulation number is now present in the status singleton.

The value of status.mc_number is set to the simulation number (starting at 0) and at the end is
reset to None.