Hi Troels,

I was wondering if you have tried the following:

self.back_calc[0][si][mi][0] = r2eff

The last dimension of self.back_calc are the number of dispersion
points.  This should match r2eff.  Hence the line above will result in
a copy of r2eff placed into the self.back_calc numpy structure.  It
should fit perfectly.

Regards,

Edward




On 20 May 2014 02:02,  <[email protected]> wrote:
> Author: tlinnet
> Date: Tue May 20 02:02:19 2014
> New Revision: 23250
>
> URL: http://svn.gna.org/viewcvs/relax?rev=23250&view=rev
> Log:
> Fix for variable num_points not set.
>
> Modified:
>     branches/disp_speed/target_functions/relax_disp.py
>
> Modified: branches/disp_speed/target_functions/relax_disp.py
> URL: 
> http://svn.gna.org/viewcvs/relax/branches/disp_speed/target_functions/relax_disp.py?rev=23250&r1=23249&r2=23250&view=diff
> ==============================================================================
> --- branches/disp_speed/target_functions/relax_disp.py  (original)
> +++ branches/disp_speed/target_functions/relax_disp.py  Tue May 20 02:02:19 
> 2014
> @@ -490,7 +490,7 @@
>                  # This is to prevent pointer to class object array that 
> cannot change. Should be equivalent to numpy.copyto (v. 1.7).
>                  #self.back_calc[0][si][mi][0][:] = r2eff
>                  # Parse back the value to update the back_calc class object.
> -                for i in range(num_points):
> +                for i in range(self.num_disp_points[0][si][mi][0]):
>                      self.back_calc[0][si][mi][0][i] = r2eff[i]
>
>                  # For all missing data points, set the back-calculated value 
> to the measured values so that it has no effect on the chi-squared value.
>
>
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