relax SVN archive

Added a redirect for http://www.nmr-relax.com/api/3.1/lib.dispersion.B14-module.html to the website.

This now points to http://www.nmr-relax.com/api/3.2/lib.dispersion.B14-module.html. This is needed
as the API documentation links in the manual were out of date.

Updated all the API documentation links in the dispersion chapter of the manual.

These were pointing to http://www.nmr-relax.com/api/3.1/ whereas they should now be point to
http://www.nmr-relax.com/api/3.2/.

Updated a number of the CaM frame order system tests for the higher precision data.

The new data results in chi-squared values at the real solution to be much closer to zero. The
free-rotor pseudo-ellipse models might need investigation however as the chi-squared values have
increased.

Large increase in precision for the CaM frame order pseudo-ellipse model test data set.

The higher precision is because the number structures in the distribution is now 20 million rather
than 1 million and the numpy.float128 data averaging has been used.

Large increase in precision for the CaM frame order free-rotor, pseudo-ellipse model test data set.

The higher precision is because the number structures in the distribution is now 20 million rather
than 1 million and the numpy.float128 data averaging has been used.

Large increase in precision for the 2nd CaM frame order free-rotor, isotropic cone model test data set.

The higher precision is because the number structures in the distribution is now 20 million rather
than 1 million and the numpy.float128 data averaging has been used.

Updated the CaM frame order free-rotor model test data set for testing for missing data.

This is the data in test_suite/shared_data/frame_order/cam/free_rotor_missing_data. To simplify the
copying of data from test_suite/shared_data/frame_order/cam/free_rotor and then the deletion of
data, the missing.py script was created to automate the process. The generate_distribution.py
script and some of the files it creates were removed from the repository so it is clearer how the
data has been created.

Large increase in precision for the CaM frame order free-rotor, isotropic cone model test data set.

The higher precision is because the number structures in the distribution is now 20 million rather
than 1 million and the numpy.float128 data averaging has been used.

Large increase in precision for the CaM frame order isotropic cone model test data set.

The higher precision is because the number structures in the distribution is now 20 million rather
than 1 million and the numpy.float128 data averaging has been used.

Added FIXME comments to the 2nd free-rotor CaM frame order model system test scripts.

These explain the steps required to obtain the correct b' and g' average domain position rotation
angles.