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Thanks for sharing. I'm glad to see that my recent optimizations have had a measurable impact. Out of curiosity, were all of these stats collected using the same version of numpy? I've noticed that recent versions of numpy have made increased usage of recursive protocols. My recent optimizations primarily targeted those. |
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Over the last couple of versions, I noticed that pyright was slowly and sometimes dramatically taking longer. A little profiling pointed to numpy as severely affecting performance and probably the main cause of the degraded results.
Here is a snapshot of the trend.
mizani, pandas and plotnine use a lot (relative to project size) of numpy. py-shiny not so much.
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