graphemeu 0.10.0

Unicode grapheme helpers

grapheme

A Python package for working with user perceived characters. More specifically, string manipulation and calculation functions for working with grapheme cluster groups (graphemes) as defined by the Unicode Standard Annex #29.

documentation

pip install graphemeu

Or similar.

The currently supported version of Unicode: 17.0.0.

This package is a fork of grapheme by Alvin Lindstam.

What? Why?

Unicode strings are made up of a series of unicode characters, but a unicode character does not always map to a user perceived character. Some human perceived characters are represented as two or more unicode characters.

However, all built in python string functions and string methods work with single unicode characters without considering their connection to each other.

>>> string = 'u̲n̲d̲e̲r̲l̲i̲n̲e̲d̲'
>>> len(string)
20
>>> grapheme.length(string)
10
>>> string[:3]
'u̲n'
>>> grapheme.slice(string, 0, 3)
'u̲n̲d̲'

This library implements the unicode default rules for extended grapheme clusters, and provides a set of functions for string manipulation based on graphemes.

Documentation

See https://graphemeu.readthedocs.io/en/latest/.

When should I consider graphemes instead of unicode characters?

You should consider working with graphemes over unicode code points when:

• You wish to count characters as perceived by users.

• You wish to split or truncate text at some user perceived lengths.

• You wish to split or truncate text without risk of corrupting the characters.

• Formatting text by length, such as creating text based tables in monospaced fonts

You should work with normal python string functions when:

• You wish to count or split by unicode codepoints for compliance with storage limitations (such as database maximum length)

• When working with systems that put limits on strings by unicode character lengths

• When you prioritize performance over correctness (see performance notes below)

• When working with very long strings (see performance notes below)

• If simplicity is more important than accuracy

Performance

Calculating graphemes require traversing the string and checking each character against a set of rules and the previous character(s). Because of this, all functions in this module will scale linearly to the string length.

Whenever possible, they will only traverse the string for as long as needed and return early as soon as the requested output is generated. For example, the grapheme.slice function only has to traverse the string until the last requested grapheme is found, and does not care about the rest of the string.

You should probably only use this package for testing/manipulating fairly short strings or with the beginning of long strings.

When testing with a string of 10 000 ascii characters, and a 3.1 GHz processor, the execution time for some possible calls is roughly:

Code	Approximate execution time
len(long_ascii_string)	3.0e-10 seconds
grapheme.length(long_ascii_string)	4.3e-05 seconds
grapheme.length(long_ascii_string, 500)	2.6e-06 seconds
long_ascii_string[0:100]	1.3e-09 seconds
grapheme.slice(long_ascii_string, 0, 100)	6.3e-07 seconds
long_ascii_string[:100] in long_ascii_string	7.8e-09 seconds
grapheme.contains(long_ascii_string, long_ascii_string[:100])	9.9e-07 seconds
long_ascii_string[-100:] in long_ascii_string	2.0e-08 seconds
grapheme.contains(long_ascii_string, long_ascii_string[-100:])	6.9e-05 seconds

Execution times may improve in later releases, but calculating graphemes is and will continue to be notably slower than just counting unicode code points.

Examples of grapheme cluster groups

This is not a complete list, but a some examples of when graphemes use multiple characters:

• CR+LF

• Hangul (korean)

• Emoji with modifiers

• Combining marks

• Zero Width Join

Development quick start

If you wish to contribute or edit this package, create a fork and clone it.

Then install and run the tests.

uv run --extra dev -m pytest

For the documentation, use:

uv run --extra docs sphinx-autobuild docs dist/www

Unicode version upgrade

The library will issue a new release for each new unicode version.

The steps necessary for this:

1. Verify that there has been no material changes to the rulesets in Unicode Annex #29 (see modifications).

2. Download the data files from unicode into the unicode-data folder. For the given version, some are in ucd and some are in ucd/auxiliary.

3. Run ./unicode-data/read_property_file.py to parse those files (will update the grapheme_break_property.json and derived_core_property.json files).

4. Update the unicode version in the documentation and in the source code.

5. Bump the version.