relax SVN archive

Called the newly created chi2 function to calculate for multi dimensional numpy arrays.

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

Added a multi-dimensional numpy array chi2 value calculation function.

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

Increased the kex speed to 1e7 in clustered unit tests cases.

This is to demonstrate where there will be no excange.

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

Important fix for replacing values if eta_pos > 700 is violated.

This fixes systemtest: Relax_disp.test_sod1wt_t25_to_cr72, which failed after making kex to a numpy float.

The trick is to make a numpy mask which stores the position where to replace the values.
Then replace the values just before last return.

This makes sure, that not all values are changed.

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

Modified unit tests, so kex is sent to target function as float instead of array.

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

Fix for testing of kex in lib function, when kex is just float.

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

Removed the multi dimensional structure of kex.

kex is not multi-dimensional, and can just be multiplied with numpy arrays.

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

Modified unit tests, so pA is sent to target function as float instead of array.

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

Fix for testing of pA in lib function, when pA is just float.

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

Removed the multi dimensional structure of pA.

pA is not multi-dimensional, and can just be multiplied with numpy arrays.

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