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Another way to approach dithering is to analyse the input image in order to make informed decisions about how best to perturb pixel values prior to quantisation. Error-diffusion dithering does this by sequentially taking the quantisation error for the current pixel (the difference between the input value and the quantised value) and distributing it to surrounding pixels in variable proportions according to a diffusion kernel . The result is that input pixel values are perturbed just enough to compensate for the error introduced by previous pixels.
We all know .env files are supposed to be gitignored. And they usually are. But beyond the git risk, having credentials stored in plaintext just feels bad. If you leave your laptop unlocked at a coffee shop or someone gets access to your machine, those .env files are sitting right there — high-value targets with zero protection.