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ibllib will sunset neurodsp in September, because it shadows the name of another widely used package already in PyPI. Newer versions of ibllib already support the use of ibldsp.

from ecephys import plot takes 45 seconds. Would be nice to figure out why, and use some conditional imports to alleviate this if possible.

The LinearRegression models used to map times from one reference frame to another depend on the version of scikit-learn to generate them. More info.

We should either use scipy.interpolate.interp1d function objects instead IBL example, or just save the model coefficients directly and make our own function to remap times.

As of this week, new versions of dask no longer support pandas < 2, which has also just moved outside the rolling window for minimum supported dependencies of xarray (though they haven't started enforcing this). This just created installation headaches for Tess, it's probably not going to become less of a problem as time goes on.