Message220613
It seems that the unicodedata module already supplies relevant functions which can be used for this. For example, we can replace "char in self._id_first_chars" with something like:
from unicodedata import normalize, category
norm_char = normalize(char)[0]
is_id_first_char = norm_char_first == '_' or category(norm_char_first) in {"Lu", "Ll", "Lt", "Lm", "Lo", "Nl"}
I'm not sure what the "Other_ID_Start property" mentioned in [1] and [2] means, though. Can we get someone with more in-depth knowledge of unicode to help with this?
The real question is how to do this *fast*, since HyperParser does a *lot* of these checks. Do you think caching would be a good approach?
See:
.. [1]: https://docs.python.org/3/reference/lexical_analysis.html#identifiers
.. [2]: http://legacy.python.org/dev/peps/pep-3131/ |
|
Date |
User |
Action |
Args |
2014-06-15 06:22:46 | taleinat | set | recipients:
+ taleinat, terry.reedy |
2014-06-15 06:22:46 | taleinat | set | messageid: <1402813366.25.0.700039555815.issue21765@psf.upfronthosting.co.za> |
2014-06-15 06:22:46 | taleinat | link | issue21765 messages |
2014-06-15 06:22:45 | taleinat | create | |
|