Performance
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- Dominant language
- Python
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Description
What can we do to make this fast? At the moment, calling `j.sin` is 10x slower than `math.sin` or `numpy.sin`.
I'm guessing that this is due to type inference issues with the PyCall.jl callback. Is there a way we could provide annotations or hints for individual functions?
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