One more thing: pay attention to what you celebrate publicly. If every shout-out in your team channel is for the big, complex project, that’s what people will optimize for. Start recognizing the engineer who deleted code. The one who said “we don’t need this yet” and was right.
第六十三条 承运人承担本章未规定的义务或者放弃本章赋予的权利的任何特别协议，经实际承运人书面明确同意的，对实际承运人发生效力；实际承运人是否同意，不影响此项特别协议对承运人的效力。
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we assign a minterm id to each of these classes (e.g., 1 for letters, 0 for non-letters), and then compute derivatives based on these ids instead of characters. this is a huge win for performance and results in an absolutely enormous compression of memory, especially with large character classes like \w for word-characters in unicode, which would otherwise require tens of thousands of transitions alone (there’s a LOT of dotted umlauted squiggly characters in unicode). we show this in numbers as well, on the word counting \b\w{12,}\b benchmark, RE# is over 7x faster than the second-best engine thanks to minterm compressionremark here i’d like to correct, the second place already uses minterm compression, the rest are far behind. the reason we’re 7x faster than the second place is in the \b lookarounds :^).