Re: r24306 - /branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py -- June 25, 2014 - 09:21

Hmmm, I hope that was not the reason why I created the
lib.linear_algebra.matrix_power.square_matrix_power() function :S  Ah,
no, I just looked at the code history.  This function is the mpower()
function from the 'fitting_main_kex.py' file attached to comment 3 of
task #7712 (https://gna.org/task/?7712#comment3,
https://gna.org/support/download.php?file_id=18263).  So this was just
copying code from the original sources for the numeric models in relax
(http://thread.gmane.org/gmane.science.nmr.relax.devel/4132/focus=4140).

Cheers,

Edward

On 25 June 2014 03:41,  <tlinnet@xxxxxxxxxxxxx> wrote:
> Author: tlinnet
> Date: Wed Jun 25 03:41:04 2014
> New Revision: 24306
>
> URL: http://svn.gna.org/viewcvs/relax?rev=24306&view=rev
> Log:
> Small fix for making sure that power is a integer in ns mmq 2site.
>
> Following system tests was failing.
>  - Relax_disp.test_korzhnev_2005_15n_dq_data
>  - Relax_disp.test_korzhnev_2005_15n_sq_data
>  - Relax_disp.test_korzhnev_2005_15n_zq_data
>  - Relax_disp.test_korzhnev_2005_1h_sq_data
>  - Relax_disp.test_korzhnev_2005_all_data
>  - Relax_disp.test_korzhnev_2005_all_data_disp_speed_bug
>
> They should already be integers, but is now solved.
>
> Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion 
> models for Clustered analysis.
>
> Modified:
>     branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py
>
> Modified: branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py
> URL: 
> http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py?rev=24306&r1=24305&r2=24306&view=diff
> ==============================================================================
> --- branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py     (original)
> +++ branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py     Wed Jun 25 
> 03:41:04 2014
> @@ -223,7 +223,7 @@
>                  # Loop over the time points, back calculating the R2eff 
> values.
>                  for i in range(num_points_i):
>                      # Extract data from array.
> -                    power_i = power[si, mi, oi, i]
> +                    power_i = int(power[si, mi, oi, i])
>                      M1_M2_i = M1_M2_mat[si, mi, oi, i]
>                      M1_M2_star_i = M1_M2_star_mat[si, mi, oi, i]
>                      M2_M1_i = M2_M1_mat[si, mi, oi, i]
> @@ -371,7 +371,7 @@
>                  # Loop over the time points, back calculating the R2eff 
> values.
>                  for i in range(num_points_i):
>                      # Extract data from array.
> -                    power_i = power[si, mi, oi, i]
> +                    power_i = int(power[si, mi, oi, i])
>                      evol_block_i = evol_block_mat[si, mi, oi, i]
>
>                      # The full evolution.
>
>
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