import unicodedata from ftfy import chardata import pathlib from pkg_resources import resource_filename CATEGORIES = [unicodedata.category(chr(i)) for i in range(0x110000)] DATA_PATH = pathlib.Path(resource_filename('wordfreq', 'data')) def func_to_regex(accept_func): """ Given a function that returns True or False for a numerical codepoint, return a regex character class accepting the characters resulting in True. Ranges separated only by unassigned characters are merged for efficiency. """ parsing_range = False ranges = [] for codepoint, category in enumerate(CATEGORIES): if accept_func(codepoint): if not parsing_range: ranges.append([codepoint, codepoint]) parsing_range = True else: ranges[-1][1] = codepoint elif category != 'Cn': parsing_range = False return '[%s]' % ''.join('%c-%c' % tuple(r) for r in ranges) def cache_regex_from_func(filename, func): """ Generates a regex from a function that accepts a single unicode character, and caches it in the data path at filename. """ with (DATA_PATH / filename).open(mode='w') as file: file.write(func_to_regex(func)) def _is_emoji_codepoint(i): """ Report whether a numerical codepoint is (likely) an emoji: a Unicode 'So' character (as future-proofed by the ftfy chardata module) but excluding symbols like © and ™ below U+2600 and the replacement character U+FFFD. """ return chardata.CHAR_CLASS_STRING[i] == '3' and i >= 0x2600 and i != 0xfffd def _is_non_punct_codepoint(i): """ Report whether a numerical codepoint is not one of the following classes: - P: punctuation - S: symbols - Z: separators - C: control characters This will classify symbols, including emoji, as punctuation; users that want to accept emoji should add them separately. """ return CATEGORIES[i][0] not in 'PSZC' def _is_combining_mark_codepoint(i): """ Report whether a numerical codepoint is a combining mark (Unicode 'M'). """ return CATEGORIES[i][0] == 'M' if __name__ == '__main__': cache_regex_from_func('emoji.txt', _is_emoji_codepoint) cache_regex_from_func('non_punct.txt', _is_non_punct_codepoint) cache_regex_from_func('combining_mark.txt', _is_combining_mark_codepoint)