Hi Ed.

I am collecting all your comments into one message.

I have noted:

6) Unit tests of ns matrices are the same for low and high dimensionality.
First determine where to store low and high dimensional matrices.



2014-06-23 10:19 GMT+02:00 Edward d'Auvergne <[email protected]>:

> Again, this should not be committed.  Can these checks, that you later
> delete, be converted into unit tests?  That would be of huge benefit
> for future developers who would like to further optimise the code.
>
> Cheers,
>
> Edward
>
>
>
> On 20 June 2014 08:11,  <[email protected]> wrote:
> > Author: tlinnet
> > Date: Fri Jun 20 08:11:49 2014
> > New Revision: 24176
> >
> > URL: http://svn.gna.org/viewcvs/relax?rev=24176&view=rev
> > Log:
> > Insert check, that the newly created multidimensional matrix is the same.
> >
> > They are, but only to the fifth digit.
> >
> > 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_cpmg_2site_star.py
> >
> > Modified: branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py
> > URL:
> http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py?rev=24176&r1=24175&r2=24176&view=diff
> >
> ==============================================================================
> > --- branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py
> (original)
> > +++ branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py
> Fri Jun 20 08:11:49 2014
> > @@ -62,6 +62,7 @@
> >
> >  # relax module imports.
> >  from lib.float import isNaN
> > +from lib.dispersion.ns_matrices import rcpmg_star_rankN
> >  from lib.linear_algebra.matrix_exponential import matrix_exponential
> >  from lib.linear_algebra.matrix_power import square_matrix_power
> >
> > @@ -137,6 +138,9 @@
> >      # Extract the total numbers of experiments, number of spins, number
> of magnetic field strength, number of offsets, maximum number of dispersion
> point.
> >      NE, NS, NM, NO, ND = back_calc.shape
> >
> > +    # The matrix R that contains all the contributions to the
> evolution, i.e. relaxation, exchange and chemical shift evolution.
> > +    R_mat, cR2_mat, Rr_mat, Rex_mat, RCS_mat =
> rcpmg_star_rankN(R2A=r20a, R2B=r20b, pA=pA, pB=pB, dw=dw, k_AB=k_AB,
> k_BA=k_BA, tcp=tcp)
> > +
> >      # Loop over the spins
> >      for si in range(NS):
> >          # Loop over the spectrometer frequencies.
> > @@ -170,7 +174,32 @@
> >                  r20a_si_mi_di = r20a[0, si, mi, 0, di]
> >
> >                  # This matrix is a propagator that will evolve the
> magnetization with the matrix R for a delay tcp.
> > -                eR_tcp = matrix_exponential(R*tcp_si_mi_di)
> > +                R_tcp = R*tcp_si_mi_di
> > +                R_mat_i = R_mat[0, si, mi, 0, di]
> > +
> > +                # Insert check
> > +                diff = R_tcp.real -R_mat_i.real
> > +                if sum(diff) > 1.0e-5:
> > +                    print sum(diff)
> > +                    print "Rr_mat"
> > +                    print Rr*tcp_si_mi_di
> > +                    print Rr_mat[0, si, mi, 0, di]
> > +                    print "RCS_mat"
> > +                    print RCS*tcp_si_mi_di
> > +                    print RCS_mat[0, si, mi, 0, di]
> > +                    print "Rex_mat"
> > +                    print Rex*tcp_si_mi_di
> > +                    print Rex_mat[0, si, mi, 0, di]
> > +                    print "R_mat"
> > +                    print R*tcp_si_mi_di
> > +                    print R_mat[0, si, mi, 0, di]
> > +                    print "cR2_mat"
> > +                    print cR2*tcp_si_mi_di
> > +                    print cR2_mat[0, si, mi, 0, di]
> > +                    print tcp_si_mi_di - tcp[0, si, mi, 0, di]
> > +                    print asd
> > +
> > +                eR_tcp = matrix_exponential(R_tcp)
> >
> >                  # This is the propagator for an element of [delay tcp;
> 180 deg pulse; 2 times delay tcp; 180 deg pulse; delay tau], i.e. for 2
> times tau-180-tau.
> >                  prop_2 = dot(dot(eR_tcp,
> matrix_exponential(cR2*tcp_si_mi_di)), eR_tcp)
> >
> >
> > _______________________________________________
> > relax (http://www.nmr-relax.com)
> >
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>
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