relax SVN archive

Adding a testing deploy script, for rapid deployment on Google Cloud Computing.

This is for intented install in Ubuntu 14.04 LTS

Removing lines with spaces in it.

Fix for running relax at a server with no graphical display and using matplotlib.

The error was found by:
relax_trunk --time -s Relax_disp.test_repeat_cpmg -d

And the error generated was:
QXcbConnection: Could not connect to display
Aborted (core dumped)

The backend of matplotlib have to be changed.
This is for example described in:
http://stackoverflow.com/questions/2766149/possible-to-use-pyplot-without-display
http://stackoverflow.com/questions/8257385/automatic-detection-of-display-availability-with-matplotlib

The solution is:

import matplotlib
if not "DISPLAY" in environ:
# Force matplotlib to not use any Xwindows backend.
matplotlib.use('Agg')

Fixes and improvements for the graphs produced by the structure.pca user function.

The different sets are now correctly created, and are now labelled in the plots.

Improved the printouts from the relax library principle component analysis.

This is in the pca_analysis() function of the lib.structure.pca module.

Created the Structure.test_pca_observers system test.

This is for testing the new observer structures concept of the structure.pca user function.

Added support for 'observer' structures in the structure.pca user function.

This allows a subset of the structures used in the PC analysis to have zero weight so that these
structures can be used for comparison purposes. The obs_pipes, obs_models, and obs_molecules
arguments have been added to the user function front end. The backend uses this to create an array
of weights for each structure. And the lib.structure.pca functions use the zero weights to remove
the observer structures from the PC mode calculations.

A weighted mean structure can now be calculated.

This is for the calc_mean_structure() function of the relax library module lib.structure.statistics.
Weights can now be supplied for each structure to allow for a weighted mean to be calculated and
returned.

Expanded the Structure.test_pca system test checks to compare to the values from Gromacs.

Improved the graphs in the backend of the structure.pca user function.

The graphs are now clustered so that different models of the same structure in the same data pipe
are within one graph set. The graph header has also been improved.