Comment by Animats
Comment by Animats 9 hours ago
Right. That's one of the great features of UTF-8. You can move forwards and backwards through a UTF-8 string without having to start from the beginning.
Python has had troubles in this area. Because Python strings are indexable by character, CPython used wide characters. At one point you could pick 2-byte or 4-byte characters when building CPython. Then that switch was made automatic at run time. But it's still wide characters, not UTF-8. One emoji and your string size quadruples.
I would have been tempted to use UTF-8 internally. Indices into a string would be an opaque index type which behaved like an integer to the extent that you could add or subtract small integers, and that would move you through the string. If you actually converted the opaque type to a real integer, or tried to subscript the string directly, an index to the string would be generated. That's an unusual case. All the standard operations, including regular expressions, can work on a UTF-8 representation with opaque index objects.
PyCompactUnicodeObject was introduced with Python 3.3, and uses UTF-8 internally. It's used whenever both size and max code point are known, which is most cases where it comes from a literal or bytes.decode() call. Cut memory usage in typical Django applications by 2/3 when it was implemented.
https://peps.python.org/pep-0393/
I would probably use UTF-8 and just give up on O(1) string indexing if I were implementing a new string type. It's very rare to require arbitrary large-number indexing into strings. Most use-cases involve chopping off a small prefix (eg. "hex_digits[2:]") or suffix (eg. "filename[-3:]"), and you can easily just linear search these with minimal CPU penalty. Or they're part of library methods where you want to have your own custom traversals, eg. .find(substr) can just do Boyer-Moore over bytes, .split(delim) probably wants to do a first pass that identifies delimiter positions and then use that to allocate all the results at once.