relax SVN archive

More fixes for the Monte Carlo simulations for the model_info argument changes in the specific API.

Fixes for the consistency testing and J(w) mapping calculate() methods.

This is for the changes to the data_init() specific analysis API method.

Fix for the Monte Carlo simulations for the model_info argument changes in the specific API.

Updated all of the specific API minimise() methods to accept the scaling_matrix argument.

The list of per-model scaling matrices is now created independently of the analysis type by the
pipe_control.minimise methods for the minimise.calculate, minimise.grid_search and minimise.execute
user functions and sent into the specific analysis backend.

Updated all of the specific API grid_search() methods to accept the scaling_matrix argument.

The list of per-model scaling matrices is now created independently of the analysis type by the
pipe_control.minimise methods for the minimise.calculate, minimise.grid_search and minimise.execute
user functions and sent into the specific analysis backend.

The argument is also passed into the minimise() API method from the grid_search() method when that
is used.

Updated all of the specific API calculate() methods to accept the scaling_matrix argument.

The list of per-model scaling matrices is now created independently of the analysis type by the
pipe_control.minimise methods for the minimise.calculate, minimise.grid_search and minimise.execute
user functions and sent into the specific analysis backend.

Updated the specific analysis API common methods for the recent model_info argument changes.

Epydoc parameter order rearrangement in the specific analysis API base class.

Standardisation of the specific analysis API with respect to the model_loop() and base_data_loop().

The model information arguments for the data returned by model_loop(), and the data arguments for
the data arguments for the data returned by base_data_loop() have been standardised throughout the
API.

Created the consistency testing specific API method get_param_names().

This is now required for the minimise.calculate user function, specifically for the analysis
independent assemble_scaling_matrix() function. The get_param_names() method simply returns the
fixed list of parameter names.