36ee8a78ece08c3fd18ec2cd4904e464641e0b5d
It would probably be even better to iterate the file content and get the non-quoted non-alphanumeric characters as separator candidates (instead of a hard-coded list) however Python does not seem to have a decoding iterator (taking bytes and yielding an iterator of codepoints or even grapheme clusters) — incidentally uniseg seems to require up-front decoding as well — so that's not really convenient as we may be dealing with large-ish files and not want to load it entirely in memory. An alternative would be to use TextIOWrapper and iterate the file by buffers of a few ks, and classify that based on either codepoints or grapheme clusters.
Odoo
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