Extended Callables
DFA construction is O(2^m) in the worst case, where m is the size of the NFA. this is widely known in academic circles, but in practice, most people think well of DFAs because they are used in tools like grep that are optimized for the common case. but if you throw a large regex at them, they will blow up in size and become unusable. DFA matching is linear O(n) where n is the size of the input, and the constant is ~3-4 assembly instructions per character - faster than anything you could write by hand.
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Hello. I have recently been spending a lot of time dithering. In image processing, dithering is the act of applying intentional perturbations or noise in order to compensate for the information lost during colour reduction, also known as quantisation. In particular, I’ve become very interested in a specific type of dithering and its application to colour palettes of arbitrary or irregular colour distributions. Before going into detail however, let’s briefly review the basics of image dithering.
# Correctness: 203 JIT-compiled functions (all types, overflow, NULL propagation, 100K-row validation)
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