def _step1_scores(q, k, scale, causal_mask):
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I printed out the checklist from Polya's How To Solve It and started referring to it whenever I sat down to work. I never read the rest of the book. It's just a handful of questions to ask yourself, some suggestions to help make sure you have a handle on things, but it's powerful stuff. I had been slowly making progress with the tree-merging algorithm, finding bugs with an ad-hoc randomized testing system (basically QuickCheck without a shrinking pass, so every failed test case was a monster that took days to untangle). I finally got things to a point where I wasn't hitting data loss or crash bugs, but the output was still pretty far from ideal. I finally confronted some core assumptions about the tree-merge algorithm that the codebase had started with, and which I had never felt comfortable enough to question, and realized that they had been pointlessly making my job wildly more difficult. I tore the whole thing apart, the fragile thing I had spent years patching, the thing I had finally managed to get sort-of working, and rebuilt it from scratch.
Ваня Дмитриенко выступит на ГАРАЖ ФЕСТ Игора Драйв в Санкт-Петербурге14:45