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
>> 
>> 
>> 
>> 
>> 
>> 
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