[Python] datajoint seems to require schemas to have the same values at shared *secondary*...

When trying to join two datajoint tables that have the same values for a primary attribute but different values for a shared secondary attribute ("sweep_key") I am getting this error:

Traceback (most recent call last):

Cell In[199], line 1 dj_classes'PatchNeuron'*timepoints

File ~/opt/anaconda3/envs/spyder-env/lib/python3.12/site-packages/datajoint/expression.py:259 in mul return self.join(other)

File ~/opt/anaconda3/envs/spyder-env/lib/python3.12/site-packages/datajoint/expression.py:285 in join assert_join_compatibility(self, other)

File ~/opt/anaconda3/envs/spyder-env/lib/python3.12/site-packages/datajoint/condition.py:71 in assert_join_compatibility raise DataJointError(

DataJointError: Cannot join query expressions on dependent attribute sweep_key

I think this maybe the same issue as described here: Does datajoint "join" operator require tables to have the same value at shared secondary attributes?

And subsequently said to be fixed here: https://github.com/datajoint/datajoint-python/pull/981

Has anyone run into this? Do you have advice or work arounds? The one listed on the original Stackoverflow post did not work for me.

Thanks so much!

Tried: Work around listed on previous post

@property def key_source(self): return PatchNeuron.proj() * PatchNeuronTimepoints

where PatchNeuron and PatchNeuronTimepoints are the two tables I'm trying to join.

When I remove the secondary attribute sweep_key, the tables join just fine.

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