The synergistic demos use brainweb, which starts by using pip install numba
. That now fails
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I think numba
is a leftover from some performance hacks @rijobro was trying - looks like it can be removed.
yeah, it looks like it wasn't actually being used in the notebook. It is, however, used in a few others (but not pip
installed):
Serves us right from not upgrading to Python 3. @paskino, this will have to be a priority after 2.2 (unless it's a matter of dropping in ubuntu 20.04, but that seems unlikely!)
I suggest to move the import numba
to a new cell, but commented out, saying that they can uncomment it and subsequent @jit
lines if they have python3 (and numba).
How much of a speedup does it really give in those notebooks? May just be better to leave it out...
Comment from a notebook says
Using jit gets computation time from 90 secs to 2!
So I'm inclined to comment it out rather than delete.