[MSNoise] problem in compute_dtt (master version with ACC)

Fri Apr 7 07:34:59 UTC 2017

Christos

could you edit the api:

/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
api.py",
line 1508, in linear_regression

and remove the parameter xtol=1e-20, so scipy would use the default 1e-8 or so ; reset your DTT jobs and relaunch ?

Thanks

Thomas

Le 07/04/2017 à 09:28, Christos Evangelidis a écrit :
> Hi Thomas,
>
> Yes I am using the latest master version.
>
> Christos
>
>
> On Fri, Apr 7, 2017 at 10:22 AM, Thomas Lecocq <thomas.lecocq at oma.be> wrote:
>
>> Hi Christos,
>>
>> you're using the latest master version ?
>>
>> It looks like the linear regression complains ; will have to look into it
>> before 1.5 ... :(
>>
>> Thomas
>>
>>
>>
>> Le 06/04/2017 à 12:42, Christos Evangelidis a écrit :
>>
>>> Hi all,
>>>
>>> I have the following error trying to calculate the DTT with the command
>>> (master version)
>>>
>>> msnoise compute_dtt -i 999
>>>
>>> for 2 stations with autocorrelations. It seems that the script stacks in a
>>> some days (eg. 2011-02-27).
>>>
>>> Any idea?
>>>
>>> Cheers,
>>>
>>> Christos
>>>
>>> -----------------------------------------------
>>> 2017-04-06 10:37:45 [INFO] *** Starting: Compute DT/T ***
>>> 2017-04-06 10:37:45 [DEBUG] Found 2229 updated days
>>> 2017-04-06 10:37:45 [INFO] Loading mov=5 days for filter=02
>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-03 - 02 - 05 mov
>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>> s06compute_dtt.py:140:
>>> RuntimeWarning: invalid value encountered in double_scalars
>>>     wavg = (d * w).sum() / w.sum()
>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>> s06compute_dtt.py:142:
>>> RuntimeWarning: invalid value encountered in double_scalars
>>>     wstd = np.sqrt(np.sum(w * (d - wavg) ** 2) / ((N - 1) * np.sum(w) / N))
>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>> s06compute_dtt.py:340:
>>> RuntimeWarning: invalid value encountered in less_equal
>>>     errindex = np.where(errArray[i] <= maxErr)[0]
>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>> s06compute_dtt.py:341:
>>> RuntimeWarning: invalid value encountered in less_equal
>>>     dtindex = np.where(np.abs(dtArray[i]) <= maxDt)[0]
>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-03: exporting: 4 pairs
>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-04 - 02 - 05 mov
>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-04: exporting: 4 pairs
>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-05 - 02 - 05 mov
>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-05: exporting: 4 pairs
>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-06 - 02 - 05 mov
>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-06: exporting: 4 pairs
>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-07 - 02 - 05 mov
>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-07: exporting: 4 pairs
>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-08 - 02 - 05 mov
>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-08: exporting: 4 pairs
>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-09 - 02 - 05 mov
>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>> s06compute_dtt.py:142:
>>> RuntimeWarning: divide by zero encountered in double_scalars
>>>     wstd = np.sqrt(np.sum(w * (d - wavg) ** 2) / ((N - 1) * np.sum(w) / N))
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-09: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-10 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-10: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-11 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-11: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-13 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-13: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-14 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-14: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-15 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-15: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-16 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-16: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-17 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-17: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-18 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-18: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-19 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-19: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-20 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-20: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-21 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-21: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-22 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-22: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-23 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-23: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-24 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-24: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-25 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-25: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-26 - 02 - 05 mov
>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-26: exporting: 4 pairs
>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-27 - 02 - 05 mov
>>> Traceback (most recent call last):
>>>     File "/home/noise/anaconda2/bin/msnoise", line 11, in <module>
>>>       load_entry_point('msnoise==1.5a0', 'console_scripts', 'msnoise')()
>>>     File
>>> "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>> scripts/msnoise.py",
>>> line 708, in run
>>>       cli(obj={})
>>>     File "/home/noise/anaconda2/lib/python2.7/site-packages/click/cor
>>> e.py",
>>> line 722, in __call__
>>>       return self.main(*args, **kwargs)
>>>     File "/home/noise/anaconda2/lib/python2.7/site-packages/click/cor
>>> e.py",
>>> line 697, in main
>>>       rv = self.invoke(ctx)
>>>     File "/home/noise/anaconda2/lib/python2.7/site-packages/click/cor
>>> e.py",
>>> line 1066, in invoke
>>>       return _process_result(sub_ctx.command.invoke(sub_ctx))
>>>     File "/home/noise/anaconda2/lib/python2.7/site-packages/click/cor
>>> e.py",
>>> line 895, in invoke
>>>       return ctx.invoke(self.callback, **ctx.params)
>>>     File "/home/noise/anaconda2/lib/python2.7/site-packages/click/cor
>>> e.py",
>>> line 535, in invoke
>>>       return callback(*args, **kwargs)
>>>     File
>>> "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>> scripts/msnoise.py",
>>> line 421, in compute_dtt
>>>       main(interval)
>>>     File
>>> "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>> s06compute_dtt.py",
>>> line 356, in main
>>>       intercept_origin=False)
>>>     File "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>> api.py",
>>> line 1508, in linear_regression
>>>       xtol=1e-20)
>>>     File
>>> "/home/noise/anaconda2/lib/python2.7/site-packages/scipy/opt
>>> imize/minpack.py",
>>> line 740, in curve_fit
>>>       raise RuntimeError("Optimal parameters not found: " + errmsg)
>>> RuntimeError: Optimal parameters not found: xtol=0.000000 is too small, no
>>> further improvement in the approximate
>>>     solution is possible.
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>>>
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>
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