Hi Edward, dear list readers,

turns out I made a mistake while importing the relaxation data. When I let 
relax read the correct data sets, everything works just fine.

Cheers,
Martin


On 17.09.2012, at 23:49, Martin Ballaschk <[email protected]> wrote:

> Hi Edward,
> 
> a similar message pops up also when running relax in single-processor mode. 
> 
> As soon as I'm back in Berlin I will try to make a minimal data set and post 
> the required info with the bug report. 
> 
> Thanks for your support
> 
> Cheers
> Martin 
> 
> 
> 
> Am 17.09.2012 um 11:10 schrieb "Edward d'Auvergne" <[email protected]>:
> 
>> Hi Martin,
>> 
>> Would you be able to create a bug report for this problem?  The link
>> for this is https://gna.org/bugs/?func=additem&group=relax.  The error
>> message you are seeing is complicated because you appear to be running
>> in Gary's mpi4py multi-processor mode.  Could you also try in the
>> uni-processor mode and see if the error exists there as well?  The
>> traceback error messages from this mode are much easier to interpret.
>> 
>> Useful information for the bug report would be the command you typed
>> at the command line, the error message in multi- and uni-processor
>> modes, and the output of:
>> 
>> $ relax --info
>> 
>> It might be also useful if you came up with a mini dataset of only a
>> few spin systems together with a script which trigger the bug and then
>> to attach these to the bug report.  You can slightly randomise the
>> data if you wish to keep the results confidential.
>> 
>> Cheers,
>> 
>> Edward
>> 
>> 
>> 
>> 
>> 
>> On 14 September 2012 09:28, Martin Ballaschk <[email protected]> wrote:
>>> Hi Edward,
>>> 
>>> I need a bit of help figuring out what was going wrong here. I started the 
>>> fully-automated protocol via the GUI in relax 2.1.0 (multi-processor).
>>> 
>>> First, relax successfully fitted the local_tm:
>>> 
>>>> relax> results.write(file='results', 
>>>> dir='/home/tron/relax-martin/b2m/local_tm/aic', compress_type=1, 
>>>> force=True)
>>>> Opening the file '/home/tron/relax-martin/b2m/local_tm/aic/results.bz2' 
>>>> for writing.
>>> 
>>> 
>>> 
>>> Then, it started with the spherical diffusion tensor and raised the 
>>> following error message.
>>> 
>>>> relax> pipe.create(pipe_name='sphere - mf (Thu Sep 13 15:47:14 2012)', 
>>>> pipe_type='mf', bundle='mf (Thu Sep 13 15:47:14 2012)')
>>>> 
>>>> relax> results.read(file='results', 
>>>> dir='/home/tron/relax-martin/b2m/local_tm/aic')
>>>> Opening the file '/home/tron/relax-martin/b2m/local_tm/aic/results.bz2' 
>>>> for reading.
>>>> 
>>>> relax> model_free.remove_tm(spin_id=None)
>>>> 
>>>> relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
>>>> angle_units='deg', param_types=0, spheroid_type=None, fixed=False)
>>>> 
>>>> relax> fix(element='all_spins', fixed=True)
>>>> 
>>>> relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
>>>> verbosity=1)
>>>> 
>>>> 
>>>> Over-fit spin deselection.
>>>> 
>>>> Only diffusion tensor parameters will be used.
>>>> Parallelised diffusion tensor grid search.
>>>> Exception raised in thread.
>>>> 
>>>> Traceback (most recent call last):
>>>> File "/opt/relax-2.1.0/gui/analyses/execute.py", line 87, in run
>>>>   self.run_analysis()
>>>> File "/opt/relax-2.1.0/gui/analyses/auto_model_free.py", line 803, in 
>>>> run_analysis
>>>>   dauvergne_protocol.dAuvergne_protocol(pipe_name=self.data.pipe_name, 
>>>> pipe_bundle=self.data.pipe_bundle, results_dir=self.data.save_dir, 
>>>> diff_model=self.data.global_models, mf_models=self.data.mf_models, 
>>>> local_tm_models=self.data.local_tm_models, grid_inc=self.data.inc, 
>>>> diff_tensor_grid_inc=self.data.diff_tensor_grid_inc, 
>>>> mc_sim_num=self.data.mc_sim_num, max_iter=self.data.max_iter, 
>>>> conv_loop=self.data.conv_loop)
>>>> File "/opt/relax-2.1.0/auto_analyses/dauvergne_protocol.py", line 235, in 
>>>> __init__
>>>>   self.execute()
>>>> File "/opt/relax-2.1.0/auto_analyses/dauvergne_protocol.py", line 619, in 
>>>> execute
>>>>   self.interpreter.grid_search(inc=inc)
>>>> File "/opt/relax-2.1.0/prompt/uf_objects.py", line 219, in __call__
>>>>   self._backend(*new_args, **uf_kargs)
>>>> File "/opt/relax-2.1.0/generic_fns/minimise.py", line 140, in grid_search
>>>>   grid_search(lower=lower, upper=upper, inc=inc, constraints=constraints, 
>>>> verbosity=verbosity)
>>>> File "/opt/relax-2.1.0/specific_fns/model_free/mf_minimise.py", line 1493, 
>>>> in grid_search
>>>>   self.minimise(min_algor='grid', lower=lower, upper=upper, inc=inc, 
>>>> constraints=constraints, verbosity=verbosity, sim_index=sim_index)
>>>> File "/opt/relax-2.1.0/specific_fns/model_free/mf_minimise.py", line 1817, 
>>>> in minimise
>>>>   processor.run_queue()
>>>> File "/opt/relax-2.1.0/multi/processor.py", line 621, in run_queue
>>>>   self.run_command_queue(lqueue)
>>>> File "/opt/relax-2.1.0/multi/processor.py", line 605, in run_command_queue
>>>>   result_queue.put(result)
>>>> File "/opt/relax-2.1.0/multi/result_queue.py", line 90, in put
>>>>   super(Threaded_result_queue, self).put(job)
>>>> File "/opt/relax-2.1.0/multi/result_queue.py", line 52, in put
>>>>   self.processor.process_result(job)
>>>> File "/opt/relax-2.1.0/multi/multi_processor_base.py", line 123, in 
>>>> process_result
>>>>   result.run(self, memo)
>>>> File "/opt/relax-2.1.0/multi/result_commands.py", line 141, in run
>>>>   raise self.exception
>>>> Capturing_exception:
>>>> 
>>>> ------------------------------------------------------------------------------------------------------------------------
>>>> 
>>>> File "/opt/relax-2.1.0/multi/processor.py", line 521, in run
>>>>   command.run(self, completed)
>>>> File 
>>>> "/opt/relax-2.1.0/specific_fns/model_free/multi_processor_commands.py", 
>>>> line 129, in run
>>>>   results = self.optimise()
>>>> File 
>>>> "/opt/relax-2.1.0/specific_fns/model_free/multi_processor_commands.py", 
>>>> line 175, in optimise
>>>>   results = grid_point_array(func=self.mf.func, args=(), 
>>>> points=self.opt_params.subdivision, verbosity=self.opt_params.verbosity)
>>>> File "/opt/relax-2.1.0/minfx/grid.py", line 256, in grid_point_array
>>>>   n = len(points[0])
>>>> 
>>>> 
>>>> Nested Exception from sub processor
>>>> Rank: 1 Name: hyperion-pid7244
>>>> Exception type: IndexError
>>>> Message: index out of bounds
>>>> 
>>>> ------------------------------------------------------------------------------------------------------------------------
>>> 
>>> 
>>> 
>>> I'm not very good in reading these kinds of traceback error messages, and 
>>> in this case it's hard for me to see why the grid search failed.
>>> 
>>> I noticed that my data are partly faulty: there is a single amino acid with 
>>> a HetNOE > 1. This is a artifact I have to look into yet, I suppose it is a 
>>> S/N problem of the original spectra (very weak peak?). Could that be the 
>>> reason for the exception?
>>> 
>>> I'd be grateful if you could provide a bit of support (again).
>>> 
>>> Cheers
>>> Martin
>>> 
>>> 
>>> 
>>> 
>>> 
>>> 
>>> _______________________________________________
>>> relax (http://www.nmr-relax.com)
>>> 
>>> This is the relax-users mailing list
>>> [email protected]
>>> 
>>> To unsubscribe from this list, get a password
>>> reminder, or change your subscription options,
>>> visit the list information page at
>>> https://mail.gna.org/listinfo/relax-users


_______________________________________________
relax (http://www.nmr-relax.com)

This is the relax-users mailing list
[email protected]

To unsubscribe from this list, get a password
reminder, or change your subscription options,
visit the list information page at
https://mail.gna.org/listinfo/relax-users

Reply via email to