relax SVN archive

Expanded the wiki instructions in the release checklist document.

This includes a number of steps for significantly improving the release notes: External links to
the Gna! trackers with full descriptions, external links to the HTML user manual for all user
functions, internal links to release notes of other relax versions, internal links to wiki pages for
all models from all theories, and HTML formatting of all symbols/parameters/etc.

Created the Structure.test_delete_model system test.

This is in preparation for extending the structure.delete user function to be able to delete
individual structural models. The test will only pass once this functionality is in place.

Added Monte Carlo simulations to the Frame_order.test_frame_order_pdb_model_ensemble system test.

This is only setting up Monte Carlo simulation data structures via the monte_carlo.setup user
function. This demonstrates a failure of the frame_order.pdb_model user function when an ensemble
of structures is present with Monte Carlo simulations.

Modified the Frame_order.test_frame_order_pdb_model_ensemble system test so it is set up correctly.

The pivot point and moving domain are now specified.

Added a call to check_pivot() to the frame_order.select_model user function.

This is to prevent this user function from being called before the pivot has been set, as otherwise
the parameter vector will be incorrectly set up.

The frame order generate_pivot() function can now handle no pivot being present.

At the start of this specific_analyses.frame_order.data module function, the check_pivot() function
is being called to make sure that a pivot is present.

Missing imports in the specific_analyses.frame_order.checks module.

This is from the recent pipe_name argument addition in the check_pivot() function.

Modified the frame order check_pivot() function to operate on any data pipe.

The function now accepts the pipe_name argument so that checks can happen on any data pipe.

Simplified the operation of the frame_order.select_model user function.

This is by removing the check of PCS data from the specific_analyses.frame_order.data.pivot_fixed()
function using the base_data_types() function call. This allows the model to be set up more easily.

Added printouts to the specific_analyses.frame_order.parameters.update_model() function.

This is to make it easier to understand why certain things fail due to the system not being fully
set up.