SessionLoader sess_loader.load_trials() ... DataFrame objects with inconsistent size...

[mschart]

Greetings,

I was trying to load trials via SessionLoader and get the following error (not just for this eid but for most in the BWM):

In [2]: from brainbox.io.one import SessionLoader

In [3]: one = ONE()
   ...: eid = '69c9a415-f7fa-4208-887b-1417c1479b48'
   ...: sess_loader = SessionLoader(one=one, eid=eid)
   ...: sess_loader.load_trials()
Inconsistent dimensions for object: trials 
(637,),	goCueTrigger_times
(637, 2),	intervals_bpod
(637,),	quiescencePeriod
(636,),	stimOffTrigger_times
(636,),	stimOff_times
(636,),	stimOnTrigger_times
(636,),	goCue_times
(636,),	response_times
(636,),	choice
(636,),	stimOn_times
(636,),	contrastLeft
(636,),	contrastRight
(636,),	probabilityLeft
(636,),	feedback_times
(636,),	feedbackType
(636,),	rewardVolume
(636,),	firstMovement_times
(636, 2),	intervals
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[3], line 4
      2 eid = '69c9a415-f7fa-4208-887b-1417c1479b48'
      3 sess_loader = SessionLoader(one=one, eid=eid)
----> 4 sess_loader.load_trials()

File ~/miniforge3/envs/iblenv/lib/python3.10/site-packages/brainbox/io/one.py:1475, in SessionLoader.load_trials(self, collection)
   1472 # itiDuration frequently has a mismatched dimension, and we don't need it, exclude using regex
   1473 self.one.wildcards = False
   1474 self.trials = self.one.load_object(
-> 1475     self.eid, 'trials', collection=collection, attribute=r'(?!itiDuration).*', revision=self.revision or None).to_df()
   1476 self.one.wildcards = True
   1477 self.data_info.loc[self.data_info['name'] == 'trials', 'is_loaded'] = True

File ~/miniforge3/envs/iblenv/lib/python3.10/site-packages/one/alf/io.py:90, in AlfBunch.to_df(self)
     88 def to_df(self) -> pd.DataFrame:
     89     """Return DataFrame with data keys as columns"""
---> 90     return dataframe(self)

File ~/miniforge3/envs/iblenv/lib/python3.10/site-packages/one/alf/io.py:117, in dataframe(adict)
    102 """
    103 Converts an Bunch conforming to size conventions into a pandas DataFrame.
    104 For 2-D arrays, stops at 10 columns per attribute.
   (...)
    114     A pandas DataFrame of data
    115 """
    116 if check_dimensions(adict) != 0:
--> 117     raise ValueError('Can only convert to DataFrame objects with consistent size')
    118 # easy case where there are only vectors
    119 if all([len(adict[k].shape) == 1 for k in adict]):

ValueError: Can only convert to DataFrame objects with consistent size

In [5]: ibllib.version
Out[5]: '3.2.0'

Any insights are greatly appreciated!