Hi Troels,

Could you check if this bug is still alive?  I can no longer see it when I run:

$ ./relax -sd --numpy-raise
Relax_disp.test_hansen_cpmg_data_missing_auto_analysis

Cheers,

Edward



On 21 May 2014 19:46, Troels Emtekær Linnet <[email protected]> wrote:
> Hi Ed.
>
> I will check it.
>
> I did the implementation in commit 23246 and 23268.
>
> Best
> Troels
>
> 2014-05-21 19:33 GMT+02:00 Edward d'Auvergne <[email protected]>:
>> Hi,
>>
>> You should try the following.  When the number is less than 1e-307,
>> print out all the parameters of the model.  What do you see?  Or print
>> out all arguments input into the function.  It might be possible to
>> catch this on line 1 instead.
>>
>> Regards,
>>
>> Edward
>>
>>
>>
>> On 21 May 2014 19:24, Troels Emtekær Linnet <[email protected]> wrote:
>>> Hi Ed.
>>>
>>> The trunk code says:
>>>     t113 = t97_nt99 - t112
>>>     t115 = num_cpmg
>>>     t116 = power(0.5*(t97_t99 + t112), t115)
>>>
>>> I have tried to catch the underflow of t116, the power function.
>>> This is when a number is represented as less than 1.e-307 (something).
>>>
>>>>>> import numpy as np
>>>>>> print np.finfo('d')
>>> Machine parameters for float64
>>> ---------------------------------------------------------------------
>>> precision= 15   resolution= 1.0000000000000001e-15
>>> machep=   -52   eps=        2.2204460492503131e-16
>>> negep =   -53   epsneg=     1.1102230246251565e-16
>>> minexp= -1022   tiny=       2.2250738585072014e-308
>>> maxexp=  1024   max=        1.7976931348623157e+308
>>> nexp  =    11   min=        -max
>>> ---------------------------------------------------------------------
>>>
>>> So, in the array, I look for the maximum power, and match the value
>>> with the list, and see if that value is below the limit.
>>>
>>> Hm, maybe I should delete it again.
>>> But I caught other numpy-raises error, found in the test-suite.
>>>
>>> But here this bug is triggered by an array, which is sent in with tcp
>>> array of nan.
>>>
>>> I think it is because spin :71@N miss data from field 800.
>>>
>>> Best
>>> Troels
>>>
>>> 2014-05-21 19:03 GMT+02:00 Edward d'Auvergne <[email protected]>:
>>>> Hi,
>>>>
>>>> Maybe this shouldn't be a bug?  It's only present in your 'disp_speed'
>>>> branch and is only seen with a debugging flag turned on.  If you add
>>>> the check I mentioned at
>>>> http://www.mail-archive.com/[email protected]/msg05731.html to the
>>>> first line of this function, maybe all the checks you have added
>>>> compared to the trunk could be removed and this issue will just
>>>> disappear.  It would be worth trying.  Also, what does the following
>>>> line do?
>>>>
>>>>     # Calculate lowest positive val, which raised to the power will
>>>> not be represented less than 1.-e300.
>>>>     low_pos_rep = power(1.e-300, 1./max_t115)
>>>>
>>>> Why is max_t115 inverted when the original code from Nikolai and Martin is:
>>>>
>>>>         t115 = N/2;
>>>>         t116 = (t69/2+t83/2+t92/2+t96/2+t112/2).^t115;
>>>>         t118 = 1./t112;
>>>>         t120 = t69+t83-t92-t96+t112;
>>>>         t122 = (t69/2+t83/2+t92/2+t96/2-t112/2).^t115;
>>>>
>>>> Here t115 is never inverted.  The 1/max_t115 is causing this divide by
>>>> zero error.  Anyway, adding the 'No Rex' check in the above link will
>>>> likely make all of this redundant.
>>>>
>>>> Regards,
>>>>
>>>> Edward
>>>>
>>>>
>>>>
>>>>
>>>> On 21 May 2014 18:46, Troels E. Linnet <[email protected]> 
>>>> wrote:
>>>>> Follow-up Comment #3, bug #22065 (project relax):
>>>>>
>>>>> This only fails when --numpy-raise is set on.
>>>>>
>>>>>     _______________________________________________________
>>>>>
>>>>> Reply to this item at:
>>>>>
>>>>>   <http://gna.org/bugs/?22065>
>>>>>
>>>>> _______________________________________________
>>>>>   Message sent via/by Gna!
>>>>>   http://gna.org/
>>>>>

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