relax SVN archive

The pipe_control.opendx space mapping code now calls the value.set() function with verbosity=0.

This is to silence the very repetitive statistics resetting messages when executing the dx.map user
function.

Added the verbosity argument to the pipe_control.value.set() function.

This is passed into the pipe_control.minimise.reset_min_stats() function so its printouts can be
silenced.

Added the verbosity argument to the pipe_control.minimise.reset_min_stats() function.

All of the minimisation code which calls this now send in their verbosity arguments. This allows
the text "Resetting the minimisation statistics." to be suppressed.

Removed a debugging printout.

Narrowed in dx_map in systemtest Relax_disp.test_dx_map_clustered_create_par_file()

This is to illustrate the failure of relax finding the global minimum.

It seems there is a shallow barrier, which relax failed to climb over, in order to find the minimum value.

Added better figure control of chi2 values on z-axis for surface plots.

Inserted a z_axis limit for the plotting of 2D surfaces in matplotlib.

Fix for testing the raise of expected errors in systemtests.

The systemtest will not be tested, if python version is under version 2.7.

Bug #22801 (https://gna.org/bugs/?22801): Failure of the relax test suite on Python 2.5.

Removal the use of OrderecDict().

OrderedDict is first available in python 2.7, and is not essential functionality.

The functionality is replaced with looping over a list of dictionary keys instead, which is picked up under analysis.

Bug #22798 (https://gna.org/bugs/?22798): Failure of relax to start due to an OrderedDict ImportError on Python 2.6 and earlier.

Added the write out of a matplotlib command file, to plot surfaces of a dx map.

It uses the minimum chi2 value in the map space, to define surface defitions.

It creates a X,Y; X,Z; Y,Z map, where the values in the missing dimension has been cut at the minimum chi2 value.
For each map, it creates a projected 3d map of the parameters and the chi2 value, and a heat map for the contours.

It also scatters the minimum chi2 value, the 4 smallest chi2 values, and maps any points in the point file, to a scatter point.

Mapping the points from file to map points, is done by finding the shortest Euclidean distance in the space from the points to any map points.