Hi,

How did you get this error?  For me the test-suite is passing all
tests.  Did you revert the commit as I mentioned at
http://thread.gmane.org/gmane.science.nmr.relax.scm/19691/focus=4871 ?

Regards,

Edward



On 10 December 2013 16:30, Troels Emtekær Linnet <[email protected]> wrote:
> Hi Edward.
>
> I get this warning for a R1rho dataset I am trying.
>
> ------
>   File
> "/Users/tlinnet/software/relax_trunk/test_suite/system_tests/relax_disp.py",
> line 2590, in test_r1rho_kjaergaard
>     relax_disp.Relax_disp(pipe_name=pipe_name, pipe_bundle=pipe_bundle,
> results_dir=ds.tmpdir, models=MODELS, grid_inc=GRID_INC, mc_sim_num=MC_NUM,
> modsel=MODSEL)
>   File "/Users/tlinnet/software/relax_trunk/auto_analyses/relax_disp.py",
> line 116, in __init__
>     self.run()
>   File "/Users/tlinnet/software/relax_trunk/auto_analyses/relax_disp.py",
> line 451, in run
>     self.optimise(model=model)
>   File "/Users/tlinnet/software/relax_trunk/auto_analyses/relax_disp.py",
> line 350, in optimise
>     self.interpreter.grid_search(inc=self.grid_inc)
>   File "/Users/tlinnet/software/relax_trunk/prompt/uf_objects.py", line 221,
> in __call__
>     self._backend(*new_args, **uf_kargs)
>   File "/Users/tlinnet/software/relax_trunk/pipe_control/minimise.py", line
> 152, in grid_search
>     grid_search(lower=lower, upper=upper, inc=inc, constraints=constraints,
> verbosity=verbosity)
>   File
> "/Users/tlinnet/software/relax_trunk/specific_analyses/relax_disp/api.py",
> line 1093, in grid_search
>     self.minimise(min_algor='grid', lower=lower, upper=upper, inc=inc,
> constraints=constraints, verbosity=verbosity, sim_index=sim_index)
>   File
> "/Users/tlinnet/software/relax_trunk/specific_analyses/relax_disp/api.py",
> line 1142, in minimise
>     self._minimise_r2eff(min_algor=min_algor, min_options=min_options,
> func_tol=func_tol, grad_tol=grad_tol, max_iterations=max_iterations,
> constraints=constraints, scaling=scaling, verbosity=verbosity,
> sim_index=sim_index, lower=lower, upper=upper, inc=inc)
>   File
> "/Users/tlinnet/software/relax_trunk/specific_analyses/relax_disp/api.py",
> line 382, in _minimise_r2eff
>     values.append(average_intensity(spin=spin, exp_type=exp_type, frq=frq,
> point=point, time=time, sim_index=sim_index))
>   File
> "/Users/tlinnet/software/relax_trunk/specific_analyses/relax_disp/disp_data.py",
> line 112, in average_intensity
>     int_keys = find_intensity_keys(exp_type=exp_type, frq=frq, point=point,
> time=time)
>   File
> "/Users/tlinnet/software/relax_trunk/specific_analyses/relax_disp/disp_data.py",
> line 345, in find_intensity_keys
>     raise RelaxError("No intensity data could be found corresponding to the
> spectrometer frequency of %s MHz, dispersion point of %s and relaxation time
> of %s s." % (frq*1e-6, point, time))
> RelaxError: RelaxError: No intensity data could be found corresponding to
> the spectrometer frequency of 799.7773991 MHz, dispersion point of 431.0 and
> relaxation time of 0.14 s.
> -----
>
> It is true, that there is no intensity for this combination.
>
> But does relax not accept incomplete datasets ?
>
> I guess this is related to:
> http://thread.gmane.org/gmane.science.nmr.relax.scm/19695
>
> Where it loops over each experiment type, spectrometer frequency, offset and
> dispersion point.
>
>
>
> Best
> Troels
>
>
> Troels Emtekær Linnet
>
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