Re: r14476 - /branches/inversion-recovery/specific_fns/relax_fit.py -- August 26, 2011 - 15:42

Hi,

I'd have a look at this:

http://docs.python.org/extending/extending.html#extracting-parameters-in-extension-functions

You will need to specify that the argument passed in is a string.  You
also shouldn't treat this as an array.  The examples in that link
should be sufficient.

Regards,

Edward



On 26 August 2011 11:53,  <sebastien.morin@xxxxxxxxx> wrote:
> Author: semor
> Date: Fri Aug 26 11:53:31 2011
> New Revision: 14476
>
> URL: http://svn.gna.org/viewcvs/relax?rev=14476&view=rev
> Log:
> A first trial at passing the "curve_type" to the C code.
>
> However, something is wrong, potentially in the C code (see
> compilation warning below) as relax now complains that
> "an integer is required" for assignment to "curve_type":
>
> ====
> maths_fns/relax_fit.c: In function 'setup':
> maths_fns/relax_fit.c:66: warning: assignment makes integer from pointer 
> without a cast
> ====
>
> Anybody, any idea ?
>
>
> Modified:
>    branches/inversion-recovery/specific_fns/relax_fit.py
>
> Modified: branches/inversion-recovery/specific_fns/relax_fit.py
> URL: 
> http://svn.gna.org/viewcvs/relax/branches/inversion-recovery/specific_fns/relax_fit.py?rev=14476&r1=14475&r2=14476&view=diff
> ==============================================================================
> --- branches/inversion-recovery/specific_fns/relax_fit.py (original)
> +++ branches/inversion-recovery/specific_fns/relax_fit.py Fri Aug 26 
> 11:53:31 2011
> @@ -791,7 +791,7 @@
>                 # The relaxation times.
>                 times.append(cdp.relax_times[key])
>
> -            setup(num_params=len(spin.params), 
> num_times=len(cdp.relax_times), values=values, sd=errors, 
> relax_times=times, scaling_matrix=scaling_matrix.tolist())
> +            setup(num_params=len(spin.params), 
> num_times=len(cdp.relax_times), curve_type=cdp.curve_type, values=values, 
> sd=errors, relax_times=times, scaling_matrix=scaling_matrix.tolist())
>
>
>             # Setup the minimisation algorithm when constraints are present.
>
>
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