relax SVN archive

Renamed function to return data in unit test _lib/_dispersion/test_matrix_exponential.py.

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

Added unit test unit_tests/_lib/_dispersion/test_matrix_exponential.py to test the matrix exponential from higher dimensional data.

- lib.dispersion.matrix_exponential.matrix_exponential_rankN
will match against
- lib.linear_algebra.matrix_exponential.

Data which is used for comparison, comes from system test: Relax_disp.test_hansen_cpmg_data_to_ns_cpmg_2site_3D.

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

Added numpy array save files.

They are the numpy array structures, which are send in from systemtest: Relax_disp.test_hansen_cpmg_data_to_ns_cpmg_2site_3D.

These numpy array structures, are used in unit tests.

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

Added to unit_tests/_lib/_dispersion/__init__.py, the new unit test file: test_matrix_exponential.py.

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

Added to __init__, the new lib.dispersion.matrix_exponential module.

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

Copied lib.linear_algebra.matrix_exponential to lib.dispersion.matrix_exponential.

The matrix exponential of higher dimensional data is only used in the dispersion part of relax.

Added log files for super profiling against tags 3.2.1 and 3.2.2.

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

Precission lowering of systemtest, test_korzhnev_2005_15n_sq_data and test_korzhnev_2005_1h_sq_data.

The systemtests does not fail on Linux 64 bit system, but only on Mac 32 bit system.
This is due to floating error deviations.

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

Math domain fix for ns cpmg 2site expanded.

This is when t108 or t112 is zero, in the multidimensional array, a division error occurs.
The elements are first set to 1.0, to allow for computation.
Then elements are later replaced with 1e100.
Lastly, if the elements are not part of the "True" dispersion point structure, they are cleaned out.

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

Added comment field to super profiling script.

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