<sbrizzu>
Oops sorry yeah it was ending with pandas ])
<sbrizzu>
Why do you have dask-ml twice?
<tilpner>
Oh, paste error
<sbrizzu>
So does it work for you if you put nur.repos.awl-fcarza.dask_2_5_2 instead of one of the nur.repos.awl-fcarza.dask-ml_1_0_0?
<tilpner>
No, there's a collision
<tilpner>
Keep in mind that I am unexperienced with Python ecosystem magic
<tilpner>
But to me it seems that dask-ml brings an older version of dask
<tilpner>
Those two different versions of dask collide
<tilpner>
And indeed, if you only put dask-ml into withPackages, you can import dask and dask_ml just fine
<sbrizzu>
I don't think it's a problem with Python really
<sbrizzu>
Even if you only put dask without dask-ml you will have the same collision
<tilpner>
No, that seems to work here
<tilpner>
No collision for python37.withPackages (p: [ nur.repos.awl-fcarza.dask_2_5_2 p.scikitlearn p.numpy p.pandas ])
<sbrizzu>
Oh, that didn't work for me, maybe because I have an already messed up environment
<sbrizzu>
I'll have to check, thanks!
<sbrizzu>
Could it be because in the propagatedBuildInputs = [ distributed dask numpy toolz numba pandas scikitlearn scipy dask-glm six multipledispatch packaging ];
<sbrizzu>
I reference dask instead of nur.repos.awl-fcarza.dask_2_5_2?
<tilpner>
sbrizzu: Again, this is not an NUR question. I'm the last person you want to ask for help with Python. #nixos would be much more appropriate
<tilpner>
But yes, that sounds like a reasonable diagnosis... to me, who has no idea of Python
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<sbrizzu>
Then I think the question formulated in a way that is relevant to NUR would be: how do I make sure that in the build of an expression a dependency is built from NUR and not from nixpkgs
<sbrizzu>
Or at least a preference is given to it
<sbrizzu>
Without manually specifying nur.repos. in the build itself
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