relax SVN archive

Reinserted old code.

This fixes:
test_korzhnev_2005_15n_mq_data

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

Fix for ns_mmq_2site_mq.

Variable was wrong called.
There seems to be a serious problem more with mq.

test_korzhnev_2005_15n_dq_data
self.assertAlmostEqual(spin.r2[r20_key3], 13.6153887849344, 2)
AssertionError: 13.624172993315323 != 13.6153887849344 within 2 places

test_korzhnev_2005_15n_mq_data
self.assertAlmostEqual(spin.r2[r20_key1], 6.02016436619016, 1)
AssertionError: 0.00032836499986468263 != 6.02016436619016 within 1 places

test_korzhnev_2005_15n_sq_data
self.assertAlmostEqual(spin.kex/1000, 433.176323890829849/1000, 3)
AssertionError: 0.42987451018414946 != 0.43317632389082983 within 3 places

test_korzhnev_2005_1h_mq_data
self.assertAlmostEqual(spin.r2[r20_key2], 0.039223196112941, 2)
AssertionError: 0.033056489136372089 != 0.039223196112941 within 2 places

test_korzhnev_2005_1h_sq_data
self.assertAlmostEqual(spin.chi2, 50.3431330819767, 1)
AssertionError: 50.400683622209989 != 50.3431330819767 within 1 places

test_korzhnev_2005_all_data
self.assertAlmostEqual(spin.r2[r20_key1], 6.67288025927458, 4)
AssertionError: 6.7044178906652689 != 6.67288025927458 within 4 places

test_korzhnev_2005_all_data_disp_speed_bug
self.assertAlmostEqual(spin.chi2/1000, 162.511988511609/1000, 3)
AssertionError: 0.49707952193522587 != 0.162511988511609 within 3 places

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

Removed grid search, and lowered number of iterations for systemtest:
test_cpmg_synthetic_b14_to_ns3d_cluster
test_cpmg_synthetic_b14_to_ns_star_cluster

This is to speed them up, since they before took 30 seks.

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

Implemented same functionality in mmq_2site_sq_dq_zq.

Problem, following system test fails!
test_korzhnev_2005_15n_dq_data
test_korzhnev_2005_15n_mq_data
test_korzhnev_2005_15n_sq_data
test_korzhnev_2005_1h_mq_data
test_korzhnev_2005_1h_sq_data
test_korzhnev_2005_all_data
test_korzhnev_2005_all_data_disp_speed_bug

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

Fix for an extra axis inserted in eye function, when dimensionality is only [NS][NM][NO][ND].

This also fixes the index in the lib function of ns_mmq_2site_mq.

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

Made the function matrix_exponential_rankN also find the exponential if the experiments indices are missing.

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

Moved the costly calculation of matrix_exponential of M1 and M2 out of for loop, in model ns_mmq_2site_mq.

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

Started using the newly created multidimensional m1 and m2 matrixes.

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

Implemented the collection of the multidimensional matrix m1 and m2 in model ns mmq 2site.

Inserted also a check, that the newly computed matrix is equal.
They are, to the 6 digit.

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

Removed input of matrix, Rr, Rex, RCS and R to model NS CPMG 2site star.

These matrixes is now extracted from ns matrix function rcpmg_star_rankN.

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