Comments (3)
bsolomon1124
commented on September 20, 2024
1
Hi @AlessandroQI .. I understand what you're trying to do here, but unfortunately I'm not sure if this can be implemented without sacrificing a lot of speed that is gained through NumPy. NumPy wants equally-sized blocks along all dimensions.
I will keep this open for now, and try to take a stab at it when I have some more time. Sorry that I can't help further at the moment.
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AlessandroQI
commented on September 20, 2024
1
thanks for your reply!
it would be great if you implent this, even if it will be slower!
thanks again
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prd1
commented on September 20, 2024
It's funny, I was about to open a request for the same feature. I realize that this might not be possible using stride_tricks and have no idea what a working solution would look like.
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