relax SVN archive

Made the lib function into a pure numpy array calculation.

This requires, that r20a, r20b and dw has same dimension as the dispersion points.

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

Replaced the temporary variable R2eff with back_calc, and used numpy subtract to speed up.

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

Removed the slow allclose() function to test if R20A and R20B is equal.

It is MUCH faster to just subtract and check sum is not 0.0.

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

Removed the masked replacement if fact is less than 1.0.

This is very strange, but otherwise system test:
Relax_disp.test_hansen_cpmg_data_missing_auto_analysis

would fail.

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

Clean up of comment lines.

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

Replaced isnan mask with function that catches all invalid values.

Implemented masked replacement if fact is less that 1.0.

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

Bugfix for testing if kex is zero.

It was tested if kex was equal 1.0.

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

Changed the catching when dw is zero, to use masked array.

Implemented backwards compability with unit tests.

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

Made the lib/cr72.py to a numpy multi dimensional numpy array calculation.

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