relax SVN archive

Replaced the multiplcation with the disp structure, to a replacement with a mask.

My timings are varying at my computer, so results are within the very same timing.

But for reading the code, having two masks, is essential better.

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

Moved the mask which finds where to replace values into the __init__ function.

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

Removed an the creation of a unnessary structure bu using numpy multiply.

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

Changes too unit tests, so data is sent to target function in numpy array format.

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

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.