Hi,

If you revert the previous commit, this one might need reverting as well.

Cheers,

Edward



On 6 May 2014 17:22,  <[email protected]> wrote:
> Author: tlinnet
> Date: Tue May  6 17:22:40 2014
> New Revision: 23005
>
> URL: http://svn.gna.org/viewcvs/relax?rev=23005&view=rev
> Log:
> Pretty-up code. Re-ordered logic of r20 parameters, and exchange parameters 
> in function call.
>
> sr #3154: (https://gna.org/support/?3154) Implementation of Baldwin (2014) 
> B14 model - 2-site exact solution model for all time scales.
>
> This follows the tutorial for adding relaxation dispersion models at:
> http://wiki.nmr-relax.com/Tutorial_for_adding_relaxation_dispersion_models_to_relax#Debugging
>
>
> Modified:
>     trunk/lib/dispersion/b14.py
>     trunk/target_functions/relax_disp.py
>
> Modified: trunk/lib/dispersion/b14.py
> URL: 
> http://svn.gna.org/viewcvs/relax/trunk/lib/dispersion/b14.py?rev=23005&r1=23004&r2=23005&view=diff
> ==============================================================================
> --- trunk/lib/dispersion/b14.py (original)
> +++ trunk/lib/dispersion/b14.py Tue May  6 17:22:40 2014
> @@ -102,7 +102,7 @@
>  from numpy import arccosh, cos, cosh, log, sin, sinh, sqrt, power
>
>
> -def r2eff_B14(r20a=None, r20b=None, pA=None, pB=None, dw=None, kex=None, 
> k_AB=None, k_BA=None, deltaR2=None, alpha_m=None, ncyc=None, inv_tcpmg=None, 
> tcp=None, back_calc=None, num_points=None):
> +def r2eff_B14(r20a=None, r20b=None, deltaR2=None, alpha_m=None, pA=None, 
> pB=None, dw=None, kex=None, k_AB=None, k_BA=None, ncyc=None, inv_tcpmg=None, 
> tcp=None, back_calc=None, num_points=None):
>      """Calculate the R2eff values for the CR72 model.
>
>      See the module docstring for details.
> @@ -112,6 +112,10 @@
>      @type r20a:             float
>      @keyword r20b:          The R20 parameter value of state B (R2 with no 
> exchange).
>      @type r20b:             float
> +    @keyword deltaR2:       The difference r20a - r20b.
> +    @type deltaR2:          float
> +    @keyword alpha_m:       The Carver and Richards (1972) alpha_minus short 
> notation. alpha_m = deltaR2 + k_AB - k_BA = r20a - r20b + k_AB - k_BA.
> +    @type alpha_m:          float
>      @keyword pA:            The population of state A.
>      @type pA:               float
>      @keyword pB:            The population of state B.
> @@ -124,10 +128,6 @@
>      @type k_AB:             float
>      @keyword k_BA:          The rate of exchange from site B to A (rad/s).
>      @type k_BA:             float
> -    @keyword deltaR2:       The difference r20a - r20b.
> -    @type deltaR2:          float
> -    @keyword alpha_m:       The Carver and Richards (1972) alpha_minus short 
> notation. alpha_m = deltaR2 + k_AB - k_BA = r20a - r20b + k_AB - k_BA.
> -    @type alpha_m:          float
>      @keyword ncyc:          The matrix exponential power array. The number 
> of CPMG blocks.
>      @type ncyc:             numpy int16, rank-1 array
>      @keyword inv_tcpmg:     The inverse of the total duration of the CPMG 
> element (in inverse seconds).
>
> Modified: trunk/target_functions/relax_disp.py
> URL: 
> http://svn.gna.org/viewcvs/relax/trunk/target_functions/relax_disp.py?rev=23005&r1=23004&r2=23005&view=diff
> ==============================================================================
> --- trunk/target_functions/relax_disp.py        (original)
> +++ trunk/target_functions/relax_disp.py        Tue May  6 17:22:40 2014
> @@ -819,7 +819,7 @@
>                          aliased_dw = dw_frq
>
>                      # Back calculate the R2eff values.
> -                    r2eff_B14(r20a=r20a, r20b=r20b, pA=pA, pB=pB, dw=dw_frq, 
> kex=kex, k_AB=k_AB, k_BA=k_BA, deltaR2=deltaR2, alpha_m=alpha_m, 
> ncyc=self.power[ei][mi], inv_tcpmg=self.inv_relax_times[ei][mi], 
> tcp=self.tau_cpmg[ei][mi], back_calc=self.back_calc[ei][si][mi][0], 
> num_points=self.num_disp_points[ei][si][mi][0])
> +                    r2eff_B14(r20a=r20a, r20b=r20b, deltaR2=deltaR2, 
> alpha_m=alpha_m, pA=pA, pB=pB, dw=dw_frq, kex=kex, k_AB=k_AB, k_BA=k_BA, 
> ncyc=self.power[ei][mi], inv_tcpmg=self.inv_relax_times[ei][mi], 
> tcp=self.tau_cpmg[ei][mi], back_calc=self.back_calc[ei][si][mi][0], 
> num_points=self.num_disp_points[ei][si][mi][0])
>
>                      # 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.
>                      for di in range(self.num_disp_points[ei][si][mi][0]):
>
>
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