relax SVN archive

Inserted a check, that the new higher dimensional m1 and m2 matrixes are equal to before.

They are, to the 5 digit.

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

Implemented the Bloch-McConnell matrix for 3-site exchange, for multidimensional data.

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

Removed m1 and m2 to be sent to lib function of ns mmq 2site, since they are now populated inside the lib function.

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

Moved the Bloch-McConnell matrix for 3-site exchange, into the lib/dispersion/ns_matrices.py.

This is to standard the code.

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

Code cleanup and copyright adding to lib/dispersion/ns_matrices.py.

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

Moved the matrices for Bloch-McConnell from lib ns_mmq_2site, since they are now defined in ns_matrices.py

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

Moved the Bloch-McConnell matrix for 2-site exchange into lib/dispersion/ns_matrices.py.

This is for consistency with the other code.

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

Fix the bug: "M2_i = M1_mat", which was causing the problems getting systemtests to pass.

Removed the specifications of which dtype, the initial matrices are created.
They can be converted later, with the specification of dtype to matrix_exponential_rankN().

All systemtests now pass.

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

Added the "dtype" argument to function matrix_exponential_rankN.

This is to force the conversion of dtype, if they are of other type.
This can be conversion from complex128 to complex64.

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

Fix for using the old matrix_exponential of m1.

Onye:
- test_korzhnev_2005_15n_sq_data

Is still failing.
That still uses the matrix_exponential_rankN.

There seems to be a problem with matrix_exponential_rankN, when doing
complex numbers.

Maybe the dtype has to get fixed?
Use it as a input argument?

It must be the einsum

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