pyuca: Python Unicode Collation Algorithm implementation
This is a Python implementation of the Unicode Collation Algorithm (UCA). It passes 100% of the UCA conformance tests for Unicode 5.2.0 (Python 2.7) and Unicode 6.3.0 (Python 3.3+) with a variable-weighting setting of Non-ignorable.
What do you use it for?
In short, sorting non-English strings properly.
The core of the algorithm involves multi-level comparison. For example,
café comes before
caff because at the primary level, the accent is
ignored and the first word is treated as if it were
cafe. The secondary
level (which considers accents) only applies then to words that are equivalent
at the primary level.
The Unicode Collation Algorithm and pyuca also support contraction and
expansion. Contraction is where multiple letters are treated as a single
unit. In Spanish,
ch is treated as a letter coming between
so that, for example, words beginning
ch should sort after all other words
c. Expansion is where a single letter is treated as
though it were multiple letters. In German,
ä is sorted as if it were
ae, i.e. after
ad but before
How to use it
Here is how to use the
pip install pyuca
from pyuca import Collator c = Collator() assert sorted(["cafe", "caff", "café"]) == ["cafe", "caff", "café"] assert sorted(["cafe", "caff", "café"], key=c.sort_key) == ["cafe", "café", "caff"]
Collator can also take an optional filename for specifying a custom
collation element table.
Python code is made available under an MIT license (see
allkeys.txt is made available under the similar license defined in
Contacting the Developer
If you have any problems, questions or suggestions, it's best to file an issue on GitHub although you can also contact me at firstname.lastname@example.org.
For more of my work on linguistics and Ancient Greek, see http://jktauber.com/.