AttributeError: 'NoneType' object has no attribute 'ncomps'

[AkshayaMS]

In[]: output_ascii_indiv(s, outputdir)

AttributeError Traceback (most recent call last)
Input In [19], in <cell line: 1>()
----> 1 output_ascii_indiv(s, outputdir)

File ~/anaconda3/lib/python3.9/site-packages/scousepy-2.1.3.dev6+ga1b6a6b-py3.9.egg/scousepy/io.py:354, in output_ascii_indiv(self, outputdir)
349 """
350 Outputs an ascii table containing the information for each fit.
351 """
353 saa_dict = self.saa_dict[0]
--> 354 table = make_table(self, saa_dict, indiv=True)
355 table.write(outputdir+'/best_fit_solutions.dat', format='ascii',
356 overwrite=True, delimiter='\t')
357 return

File ~/anaconda3/lib/python3.9/site-packages/scousepy-2.1.3.dev6+ga1b6a6b-py3.9.egg/scousepy/io.py:370, in make_table(self, saa_dict, saa, indiv)
368 solnlist = get_solnlist_saa(self, saa_dict)
369 elif indiv:
--> 370 solnlist = get_solnlist_indiv(self)
372 solnarr = np.asarray(solnlist).T
374 for j in range(len(solnarr[:,0])):

File ~/anaconda3/lib/python3.9/site-packages/scousepy-2.1.3.dev6+ga1b6a6b-py3.9.egg/scousepy/io.py:446, in get_solnlist_indiv(self)
444 spectrum = self.indiv_dict[key]
445 soln = spectrum.model
--> 446 if soln.ncomps==0.0:
447 solution_desc = get_soln_desc(0, soln,
448 spectrum.coordinates[0],
449 spectrum.coordinates[1])
450 solnlist.append(solution_desc)

AttributeError: 'NoneType' object has no attribute 'ncomps'

Hello,
I get the above error when I try to create the output ASCII files.
I get the same error for the statistics commands too (stats=scouse.compute_stats(s)). I am not sure if it is a mistake on my end. The previous commands till stage 4 work well (I am able to extract the spectra and the fits look good). The above error is for the data in the example directory.

Any pointers on how to fix this would be of great help.
Thank you!

[jdhenshaw]

Hi, thanks for this. I've just added a quick fix so you can update scousepy and double check that this works. The slight issue is that this fix won't solve the underlying issue that you have None values for models in your decomposition indiv_dict. This should be dealt with during "model_selection" in stage 3. Can you maybe dig into this a little bit for me and identify how many instances in indiv_dict you have model==None?? You could do something like (after stage 4 has loaded):

NoneCount=np.sum([1 if s.indiv_dict[key].model is None else 0 for key in s.indiv_dict.keys()])

indiv_dict=s.indiv_dict
for key in indiv_dict.keys():
    spectrum=indiv_dict[key]
    if spectrum.model is None:
        print(spectrum)

[jdhenshaw]

could you also maybe print out a bit more info about the spectrum so...

NoneCount=np.sum([1 if s.indiv_dict[key].model is None else 0 for key in s.indiv_dict.keys()])

indiv_dict=s.indiv_dict
for key in indiv_dict.keys():
    spectrum=indiv_dict[key]
    if spectrum.model is None:
        print(spectrum)
        print(spectrum.coordinates)
        print(spectrum.saaindex)
        print(spectrum.guesses_from_parent)

[AkshayaMS]

This is the output:

<< scousepy individual spectrum; index=65 >>
[ 5 10]
None
None

[AkshayaMS]

The error seems to occur every time I have clicked on a spectrum with no models in the quality control stage (attaching a screenshot below). I can generate the ASCII file when I don't do this.

[AkshayaMS]

Hi, thanks for this. I've just added a quick fix so you can update scousepy and double check that this works. The slight issue is that this fix won't solve the underlying issue that you have None values for models in your decomposition indiv_dict. This should be dealt with during "model_selection" in stage 3. Can you maybe dig into this a little bit for me and identify how many instances in indiv_dict you have model==None?? You could do something like (after stage 4 has loaded):

NoneCount=np.sum([1 if s.indiv_dict[key].model is None else 0 for key in s.indiv_dict.keys()])

indiv_dict=s.indiv_dict
for key in indiv_dict.keys():
    spectrum=indiv_dict[key]
    if spectrum.model is None:
        print(spectrum)

Sorry, I missed this comment about the update. I reinstalled scousepy now and tried the analysis again.
The issue is resolved. I am not encountering any errors now.

Thank you so much!

[jdhenshaw]

aha! ok this is helpful. Did you try to fit one of these spectra or were you just clicking on it to have a closer look? For full reference, these are spectra that have been rejected during the masking phase in stage 1. So in theory these wont be included in the indiv_dict, but it looks like stage_4 is adding them in and I need to check this

[AkshayaMS]

aha! ok this is helpful. Did you try to fit one of these spectra or were you just clicking on it to have a closer look? For full reference, these are spectra that have been rejected during the masking phase in stage 1. So in theory these wont be included in the indiv_dict, but it looks like stage_4 is adding them in and I need to check this

I was just clicking for a closer look (did not try to fit them).

[jdhenshaw]

ok i will work on this because its a definite bug. Thanks!

[jdhenshaw]

I've just added some more changes that should mean this now works for computing the statistics as well, but please check

[AkshayaMS]

Updated and checked. It is all working now!
Thank you!