Hi Tyler,

If you want all output from relax to go to a log file, use the option
'-l'... (relax -l script.py)

If you want all output from relax to go to a file AND the terminal
(display), use the option '-t'... (relax -t script.py)

These options are visible when typing : ./relax --help  (or relax -h)

Good luck !


Séb  :)



Tyler Reddy wrote:
> Okay, I submitted the report. Let me know if there's more information you need
> or a better way to submit bug reports in general.. haven't done this before.
> Also, I had to manually copy/paste the output, and while it looks fine, if
> there is a problem with the same pdb structure getting read twice or something
> that's probably just my pasting error from the unix terminal to the browser.
>
> On that note, how can I fix this command:
>
> relax full_analysis.py > STDOUT.txt 2> STDERR.txt
> tcsh: Ambiguous output redirect.
>
> Or better yet, can I merge all the output streams to a single text file and
> display the output in the terminal at the same time as well (maybe I'm getting
> too ambitious there..)?
>
> Also, I do get the same output for 'ellipsoid' as well, as Seb asked.
>
> Yours,
>
> Tyler
>
>
> Quoting Edward d'Auvergne <[EMAIL PROTECTED]>:
>
>   
>> Hi,
>>
>> This issue looks like a problem with the loaded PDB structure.  The
>> 'local_tm' and 'sphere' optimisations do not utilise structural
>> information, but the 'oblate' and 'prolate' spheroids, and the
>> 'ellipsoid' all require this info.  Normally relax will catch this
>> problem and deselect the spins without XH bond vectors, but this seems
>> to be broken in the 1.3 versions hence you get the original cryptic
>> Python error.  As this is a real bug with the relax source code (and
>> not a yet-to-be converted feature or a sample script), would you be
>> able to submit a bug report for this issue?  The relax bug tracker is
>> located at https://gna.org/bugs/?group=relax and the link at
>> https://gna.org/bugs/?func=additem&group=relax allows you to create a
>> report.  That would be much appreciated.
>>
>> The bug report will be useful for having this error caught by the
>> relax test suite - if I can replicate the bug there then I can play
>> with the bug and fix it.  Note the the actual problem occurred earlier
>> starting with the loading of the PDB file at the structure.read_pdb()
>> user function.  So if you could include all print out from that user
>> function to the end of the traceback error message, that would be very
>> useful.
>>
>> Cheers,
>>
>> Edward
>>
>>
>> On Wed, Oct 22, 2008 at 3:17 AM, Tyler Reddy <[EMAIL PROTECTED]> wrote:
>>     
>>> Hi Seb,
>>>
>>> I just tested 'oblate' and it produces the same error output.
>>>
>>> Tyler
>>>
>>>
>>> Quoting Sébastien Morin <[EMAIL PROTECTED]>:
>>>
>>>       
>>>> Hi Tyler,
>>>>
>>>> Do you get the same error when trying the 'oblate' or 'ellipsoid'
>>>> diffusion tensors ?
>>>>
>>>>
>>>> Sébastien
>>>>
>>>>
>>>> Tyler Reddy wrote:
>>>>         
>>>>> I'm having an issue with the full_analysis.py script. It seems to work
>>>>> fine when
>>>>> DIFF_MODEL = 'local_tm' or 'sphere' (converges on 4th round) but for
>>>>> 'prolate'
>>>>> I get the following output:
>>>>>
>>>>> Grid search
>>>>> ~~~~~~~~~~~
>>>>>
>>>>> Searching the grid.
>>>>> Traceback (most recent call last):
>>>>>   File "/Applications/relax-1.3.1/relax-1.3/relax", line 408, in <module>
>>>>>     Relax()
>>>>>   File "/Applications/relax-1.3.1/relax-1.3/relax", line 125, in __init__
>>>>>     self.interpreter.run(self.script_file)
>>>>>   File "/Applications/relax-1.3.1/relax-1.3/prompt/interpreter.py",
>>>>> line 270, in
>>>>> run
>>>>>     return run_script(intro=self.__intro_string, local=self.local,
>>>>> script_file=script_file, quit=self.__quit_flag,
>>>>> show_script=self.__show_script,
>>>>> raise_relax_error=self.__raise_relax_er
>>>>>   File "/Applications/relax-1.3.1/relax-1.3/prompt/interpreter.py",
>>>>> line 531, in
>>>>> run_script
>>>>>     return console.interact(intro, local, script_file, quit,
>>>>> show_script=show_script, raise_relax_error=raise_relax_error)
>>>>>   File "/Applications/relax-1.3.1/relax-1.3/prompt/interpreter.py",
>>>>> line 427, in
>>>>> interact_script
>>>>>     execfile(script_file, local)
>>>>>   File "full_analysis.py", line 673, in <module>
>>>>>     Main(self.relax)
>>>>>   File "full_analysis.py", line 284, in __init__
>>>>>     grid_search(inc=inc)
>>>>>   File "/Applications/relax-1.3.1/relax-1.3/prompt/minimisation.py",
>>>>> line 152,
>>>>> in grid_search
>>>>>     minimise.grid_search(lower=lower, upper=upper, inc=inc,
>>>>> constraints=constraints, verbosity=verbosity)
>>>>>   File
>>>>> "/Applications/relax-1.3.1/relax-1.3/generic_fns/minimise.py", line
>>>>> 185,
>>>>> in grid_search
>>>>>     grid_search(lower=lower, upper=upper, inc=inc, 
>>>>> constraints=constraints,
>>>>> verbosity=verbosity)
>>>>>   File
>>>>> "/Applications/relax-1.3.1/relax-1.3/specific_fns/model_free/mf_minimise.py",
>>>>> line 479, in grid_search
>>>>>     self.minimise(min_algor='grid', lower=lower, upper=upper, inc=inc,
>>>>> constraints=constraints, verbosity=verbosity, sim_index=sim_index)
>>>>>   File
>>>>> "/Applications/relax-1.3.1/relax-1.3/specific_fns/model_free/mf_minimise.py",
>>>>> line 987, in minimise
>>>>>     results = generic_minimise(func=self.mf.func, dfunc=self.mf.dfunc,
>>>>> d2func=self.mf.d2func, args=(), x0=param_vector, min_algor=min_algor,
>>>>> min_options=min_options, func_tol=func_tol, g
>>>>> l, maxiter=max_iterations, A=A, b=b, full_output=1, print_flag=verbosity)
>>>>>   File
>>>>> "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/minfx/generic.py",
>>>>> line 319, in generic_minimise
>>>>>     xk, fk, k = grid(func=func, args=args, grid_ops=min_options,
>>>>> A=A, b=b, l=l,
>>>>> u=u, c=c, print_flag=print_flag)
>>>>>   File
>>>>> "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/minfx/grid.py",
>>>>> line 129, in grid
>>>>>     f = func(*(params,)+args)
>>>>>   File "/Applications/relax-1.3.1/relax-1.3/maths_fns/mf.py", line 506, in
>>>>> func_diff
>>>>>     self.diff_data.calc_di(data, self.diff_data)
>>>>>   File
>>>>> "/Applications/relax-1.3.1/relax-1.3/maths_fns/direction_cosine.py",
>>>>> line
>>>>> 64, in calc_spheroid_di
>>>>>     data.dz = dot(data.xh_unit_vector, diff_data.dpar)
>>>>> TypeError: unsupported operand type(s) for *: 'NoneType' and 'float'
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Quoting Edward d'Auvergne <[EMAIL PROTECTED]>:
>>>>>
>>>>>
>>>>>           
>>>>>> Hi,
>>>>>>
>>>>>> For the bug you mention, I've fixed this and the changes are in the
>>>>>> repository.  There were a few other issues to do with subsequent LaTeX
>>>>>> compilation and these have been fixed too.  You can see the new sample
>>>>>> script at:  http://svn.gna.org/viewcvs/relax/1.3/sample_scripts/
>>>>>>
>>>>>> Regards,
>>>>>>
>>>>>> Edward
>>>>>>
>>>>>>
>>>>>> On Tue, Oct 21, 2008 at 3:44 AM, Tyler Reddy <[EMAIL PROTECTED]> wrote:
>>>>>>
>>>>>>             
>>>>>>> Hello,
>>>>>>>
>>>>>>> 1) I changed that line and I'm still having a bit of trouble (see output
>>>>>>> below).
>>>>>>>
>>>>>>> 2) The errors that I'm using are described as 'the standard 
>>>>>>> error for each
>>>>>>> parameter... [which] is an easy calculation from the covariance matrix.'
>>>>>>> Paraphrasing from the author there--I'm guessing this isn't the optimal
>>>>>>> input?
>>>>>>>
>>>>>>> 3) I'm not sure it's explicitly stated in the manual, but I'm
>>>>>>> proceeding on
>>>>>>> the
>>>>>>> assumption that you run the multi-model script first and then modsel to
>>>>>>> decide
>>>>>>> on the right model for each given residue. A few weeks ago I was
>>>>>>> experimenting
>>>>>>> with this and if I didn't leave the global correlation time as fixed the
>>>>>>> computation seemed to take a VERY long time (unclear if it was
>>>>>>> ever going to
>>>>>>> finish).
>>>>>>>
>>>>>>> Also, as a side note, since my peptide is actually in a micelle, I'm not
>>>>>>> sure if
>>>>>>> there's anything extra I can do for diffusion tensor and 
>>>>>>> correlation time
>>>>>>> type
>>>>>>> stuff. I know some programs (i.e. the Mathematica notebooks by Dr.
>>>>>>> Spyracopoulos) read in PDB files for diffusion tensor 
>>>>>>> calculations, but I
>>>>>>> suspect it's a bit of a mess when the system is more complicated 
>>>>>>> than the
>>>>>>> structure in the PDB file would suggest.
>>>>>>>
>>>>>>> Output:
>>>>>>>
>>>>>>> Latex()
>>>>>>> ----------------------------------------------------------------------------------------------------
>>>>>>>
>>>>>>> relax> pipe.create(pipe_name='results', pipe_type='mf')
>>>>>>>
>>>>>>> relax> results.read(file='results', dir=None)
>>>>>>> Opening the file 'results' for reading.
>>>>>>> Traceback (most recent call last):
>>>>>>>  File "/Applications/relax-1.3.1/relax-1.3/relax", line 408, in <module>
>>>>>>>   Relax()
>>>>>>>  File "/Applications/relax-1.3.1/relax-1.3/relax", line 125, in __init__
>>>>>>>   self.interpreter.run(self.script_file)
>>>>>>>  File "/Applications/relax-1.3.1/relax-1.3/prompt/interpreter.py",
>>>>>>> line 270,
>>>>>>> in
>>>>>>> run
>>>>>>>   return run_script(intro=self.__intro_string, local=self.local,
>>>>>>> script_file=script_file, quit=self.__quit_flag,
>>>>>>> show_script=self.__show_script,
>>>>>>> raise_relax_error=self.__raise_relax_error)
>>>>>>>  File "/Applications/relax-1.3.1/relax-1.3/prompt/interpreter.py",
>>>>>>> line 531,
>>>>>>> in
>>>>>>> run_script
>>>>>>>   return console.interact(intro, local, script_file, quit,
>>>>>>> show_script=show_script, raise_relax_error=raise_relax_error)
>>>>>>>  File "/Applications/relax-1.3.1/relax-1.3/prompt/interpreter.py",
>>>>>>> line 427,
>>>>>>> in
>>>>>>> interact_script
>>>>>>>   execfile(script_file, local)
>>>>>>>  File "latex_mf_table.py", line 220, in <module>
>>>>>>>   Latex()
>>>>>>>  File "latex_mf_table.py", line 68, in __init__
>>>>>>>   self.table_body()
>>>>>>>  File "latex_mf_table.py", line 186, in table_body
>>>>>>>   self.file.write("%9.3f & %9.3f & " % (spin.s2, spin.s2_err))
>>>>>>> AttributeError: 'SpinContainer' object has no attribute 's2_err'
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> Quoting Edward d'Auvergne <[EMAIL PROTECTED]>:
>>>>>>>
>>>>>>>
>>>>>>>               
>>>>>>>> Hi,
>>>>>>>>
>>>>>>>> Using a new system test, I found one more bug in the script.  This has
>>>>>>>> been fixed in the 1.3 repository line.  If you haven't used subversion
>>>>>>>> to check out (and update) the 1.3 line, then you can see the changes
>>>>>>>> required in my commit at:
>>>>>>>>
>>>>>>>> https://mail.gna.org/public/relax-commits/2008-10/msg00402.html
>>>>>>>>
>>>>>>>> Just change the line starting with '-' to the line starting with '+'.
>>>>>>>> Oh, it may take a few minutes for the link to be generated.
>>>>>>>>
>>>>>>>> Regards,
>>>>>>>>
>>>>>>>> Edward
>>>>>>>>
>>>>>>>>
>>>>>>>> On Mon, Oct 20, 2008 at 10:12 PM, Edward d'Auvergne
>>>>>>>> <[EMAIL PROTECTED]> wrote:
>>>>>>>>
>>>>>>>>                 
>>>>>>>>> Hi,
>>>>>>>>>
>>>>>>>>> That's a bug in the sample script.  Try adding a ':' character to the
>>>>>>>>> end of line 171 in your script.  I've fixed this in the 1.3 repository
>>>>>>>>> line and will try to add a system test to the program to try to catch
>>>>>>>>> any bugs before you do ;)
>>>>>>>>>
>>>>>>>>> Cheers,
>>>>>>>>>
>>>>>>>>> Edward
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> On Mon, Oct 20, 2008 at 9:27 PM, Tyler Reddy <[EMAIL PROTECTED]> 
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>                   
>>>>>>>>>> I've been trying to use the latex python script on the aic
>>>>>>>>>> results file.
>>>>>>>>>> I get
>>>>>>>>>> the syntax error below. Not sure if I'm doing something wrong or if
>>>>>>>>>> there's
>>>>>>>>>> just a small problem with that line of code:
>>>>>>>>>>
>>>>>>>>>> Latex()
>>>>>>>>>>
>>>>>>>>>> ----------------------------------------------------------------------------------------------------
>>>>>>>>>> Traceback (most recent call last):
>>>>>>>>>>  File "/Applications/relax-1.3.1/relax-1.3/relax", line 408, in
>>>>>>>>>> <module>
>>>>>>>>>>   Relax()
>>>>>>>>>>  File "/Applications/relax-1.3.1/relax-1.3/relax", line 125, in
>>>>>>>>>> __init__
>>>>>>>>>>   self.interpreter.run(self.script_file)
>>>>>>>>>>  File "/Applications/relax-1.3.1/relax-1.3/prompt/interpreter.py",
>>>>>>>>>> line 270, in
>>>>>>>>>> run
>>>>>>>>>>   return run_script(intro=self.__intro_string, local=self.local,
>>>>>>>>>> script_file=script_file, quit=self.__quit_flag,
>>>>>>>>>> show_script=self.__show_script,
>>>>>>>>>> raise_relax_error=self.__raise_relax_error)
>>>>>>>>>>  File "/Applications/relax-1.3.1/relax-1.3/prompt/interpreter.py",
>>>>>>>>>> line 531, in
>>>>>>>>>> run_script
>>>>>>>>>>   return console.interact(intro, local, script_file, quit,
>>>>>>>>>> show_script=show_script, raise_relax_error=raise_relax_error)
>>>>>>>>>>  File "/Applications/relax-1.3.1/relax-1.3/prompt/interpreter.py",
>>>>>>>>>> line 427, in
>>>>>>>>>> interact_script
>>>>>>>>>>   execfile(script_file, local)
>>>>>>>>>>  File "latex_mf_table.py", line 171
>>>>>>>>>>   for spin, spin_id in spin_loop(return_id=True)
>>>>>>>>>> SyntaxError: invalid syntax
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> Quoting Edward d'Auvergne <[EMAIL PROTECTED]>:
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>                     
>>>>>>>>>>> On Mon, Oct 20, 2008 at 5:12 PM, Tyler Reddy <[EMAIL PROTECTED]> 
>>>>>>>>>>> wrote:
>>>>>>>>>>>
>>>>>>>>>>>                       
>>>>>>>>>>>> Hello,
>>>>>>>>>>>>
>>>>>>>>>>>> 1)
>>>>>>>>>>>>
>>>>>>>>>>>> I have been using the multi model and model selection scripts in
>>>>>>>>>>>> relax 1.3.2 but
>>>>>>>>>>>> I have trouble displaying the output in a tabulated format. Both
>>>>>>>>>>>> scripts seem
>>>>>>>>>>>> to produce an xml document with various headers that isn't easy to
>>>>>>>>>>>> read. It
>>>>>>>>>>>> looks like format='columnar' isn't supported. I wonder what other
>>>>>>>>>>>> options I
>>>>>>>>>>>> have to look at this data? For some reason, I don't recall having
>>>>>>>>>>>> this problem
>>>>>>>>>>>> on a Linux machine a few weeks ago (using a Mac OS 10.4 at the
>>>>>>>>>>>> moment), but
>>>>>>>>>>>> anyways it would be nice to get readable model-free output.
>>>>>>>>>>>>
>>>>>>>>>>>>                         
>>>>>>>>>>> The results file is now in XML format and the more readable 
>>>>>>>>>>> 'columnar'
>>>>>>>>>>> format has been removed from the 1.3 line.  With the change 
>>>>>>>>>>> to the new
>>>>>>>>>>> XML results file all the contents of a data pipe, 
>>>>>>>>>>> irrespective of what
>>>>>>>>>>> that data is, is packaged.  So you can put data into this pipe
>>>>>>>>>>> yourself and it will save that information (for advanced users,
>>>>>>>>>>> complex python objects will need the to_xml() and from_xml() methods
>>>>>>>>>>> to package and unpackage the data).  The reason for removing the
>>>>>>>>>>> 'columnar' format was that it was considered too inflexible for the
>>>>>>>>>>> changes occuring in the 1.3 line, it contained duplicate 
>>>>>>>>>>> information,
>>>>>>>>>>> had numerical precision issues, and there were alternatives 
>>>>>>>>>>> to easily
>>>>>>>>>>> view this data.  You can use the value.display() and value.write()
>>>>>>>>>>> user functions to display and save the results for a single 
>>>>>>>>>>> parameter.
>>>>>>>>>>> If needed, these user functions could be extended to accept 
>>>>>>>>>>> a list of
>>>>>>>>>>> parameters.
>>>>>>>>>>>
>>>>>>>>>>> Then there is the sample_scripts/latex_mf_table.py sample 
>>>>>>>>>>> script which
>>>>>>>>>>> will generate a LaTeX table of the model-free results.  This 
>>>>>>>>>>> file can
>>>>>>>>>>> be copied and modified - this requires learning a bit of python - to
>>>>>>>>>>> format and display the results any way you wish.  And finally if
>>>>>>>>>>> anyone really wants to, and has the skills to, they can modify this
>>>>>>>>>>> sample script to recreate a version of the 'columnar' format.  This
>>>>>>>>>>> could be added to the relax sample scripts, and if their skills are
>>>>>>>>>>> very advanced, then much code from the 1.2 relax versions can be
>>>>>>>>>>> recycled.
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>                       
>>>>>>>>>>>> 2)
>>>>>>>>>>>>
>>>>>>>>>>>> The error input for the relaxation rate parameters is currently my
>>>>>>>>>>>> non-linear
>>>>>>>>>>>> curve fitting standard deviation. I'm not sure if that means
>>>>>>>>>>>> subsequent
>>>>>>>>>>>> analysis will be completely incorrect? I guess it depends on the
>>>>>>>>>>>> comparison of
>>>>>>>>>>>> magnitude between these errors and the type of error that is
>>>>>>>>>>>> propagated by
>>>>>>>>>>>> relax during its own curve-fitting (which I am unable to do at the
>>>>>>>>>>>> moment).
>>>>>>>>>>>>
>>>>>>>>>>>>                         
>>>>>>>>>>> I'm guessing this is the sum of squared error value (SSE) from the
>>>>>>>>>>> fit.  Or is it a regression coefficient or a chi-squared value?  Did
>>>>>>>>>>> the fitting use a technique such as bootstrapping or jackknife
>>>>>>>>>>> simulations to estimate the parameter errors via 
>>>>>>>>>>> propagation?  Or did
>>>>>>>>>>> it use the covariance matrix?  If it is the SSE, chi-squared, or
>>>>>>>>>>> regression coefficient then that value cannot be used.  This will be
>>>>>>>>>>> wildly wrong and cause massive failure in model selection.  It will
>>>>>>>>>>> cause big problems in optimisation, and if you are unlucky and have
>>>>>>>>>>> spaces with long, curved valleys or flat curved spaces 
>>>>>>>>>>> leading to the
>>>>>>>>>>> minimum (that's model-free models m5 to m8 in most cases and not so
>>>>>>>>>>> uncommon in model m4) then the minimum can be squeezed and appear in
>>>>>>>>>>> another completely different region in the space.  It will 
>>>>>>>>>>> likely also
>>>>>>>>>>> cause model failure issues, which although removed by the 
>>>>>>>>>>> eliminate()
>>>>>>>>>>> user function, might discount the best solution.  I would guess that
>>>>>>>>>>> all of this will have a measurable affect on the final diffusion
>>>>>>>>>>> tensor as well and, if so, this will cause the appearance of
>>>>>>>>>>> artificial motions (my 2007 JBNMR paper at
>>>>>>>>>>> http://dx.doi.org/10.1039/b702202f explains these problems 
>>>>>>>>>>> in detail).
>>>>>>>>>>> If one is not careful with the errors and they are 
>>>>>>>>>>> significantly off,
>>>>>>>>>>> then the result is that the results may not be real.  So I 
>>>>>>>>>>> would only
>>>>>>>>>>> use the error if it comes from an established error propagation
>>>>>>>>>>> technique (i.e. from data to parameter error propagation).
>>>>>>>>>>>
>>>>>>>>>>> Regards,
>>>>>>>>>>>
>>>>>>>>>>> Edward
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>                       
>>>>>>>>>> _______________________________________________
>>>>>>>>>> relax (http://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://nmr-relax.com)
>>>>>
>>>>> This is the relax-users mailing list
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>>>>> reminder, or change your subscription options,
>>>>> visit the list information page at
>>>>> https://mail.gna.org/listinfo/relax-users
>>>>>
>>>>>
>>>>>           
>>>>
>>>> _______________________________________________
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>>>>
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>>>>         
>>>
>>>
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