relax SVN archive

First try to implement function that will calculate the matrix exponential by striding through data.

Interestingly, it does not work. Theses systemtests will fail.
test_hansen_cpmg_data_to_ns_cpmg_2site_3D
test_hansen_cpmg_data_to_ns_cpmg_2site_3D_full

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Initiated lengthy profiling script, that shows that doing square numpy matrix_power on strided data, can speed up the calculation by factor 1.5.

The profiling script can quicly be turned into a unit test, and includes small helper functions to calculate how to stride through the data.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Implemented a dependency check for numpy einsum, so relax can still start.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Added the full optimisation results for the 2nd free rotor isotropic cone frame order model.

This is for the CaM test data using the new frame_order.py optimisation script.

Added the full optimisation results for the torsionless pseudo-ellipse frame order model.

This is for the CaM test data using the new frame_order.py optimisation script.

Removed the now redundant disp_profile_all_3.2.2.table.txt dispersion model profiling table.

As the dispersion model profiling master script now covers all dispersion models, the output from
this script produces this table exactly. Therefore the end of the log files saved from running this
script contains this table.

Updated the relaxation dispersion model profiling log file for relax version 3.2.2 vs. 3.2.1.

This adds the MMQ and 3-site models to the log file. The new information shows that there was a 4.2
times speed up for the 'MMQ CR72' model between these two relax versions, both for single spins and
clustered spins, a much greater improvement than any other of the models.

Created 3 frame order system tests for the new large angle double rotor CaM synthetic data.

These are the Frame_order.test_cam_double_rotor_large_angle,
Frame_order.test_cam_double_rotor_large_angle_rdc, and
Frame_order.test_cam_double_rotor_large_angle_pcs system tests.

Fix for the CaM double rotor frame order system tests.

The torsion angle cone_sigma_max is a half angle, therefore the full angles from the data generation
script are now halved in the system test script.

Fix for the frame order target functions for when no PCS data is present.

In this case, the self.pivot structure was being created as an empty array rather than a rank-2
array with dimensions 1 and 3. This was causing the rotor models to fail, as this pivot is used to
recreate the rotation axis.