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https://github.com/rspeer/wordfreq.git
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57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
import argparse
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import unicodedata
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import chardata
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def _emoji_char_class():
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"""
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Build a regex for emoji substitution. First we create a regex character set
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(like "[a-cv-z]") matching characters we consider emoji The final regex
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matches one such character followed by any number of spaces and identical
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characters.
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"""
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ranges = []
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for i, c in enumerate(chardata.CHAR_CLASS_STRING):
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if c == '3' and i >= 0x2600 and i != 0xfffd:
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if ranges and i == ranges[-1][1] + 1:
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ranges[-1][1] = i
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else:
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ranges.append([i, i])
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return '[%s]' % ''.join(chr(a) + '-' + chr(b) for a, b in ranges)
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def func_to_regex(accept):
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"""
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Converts a function that accepts a single unicode character into a regex.
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Unassigned unicode characters are treated like their neighbors.
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"""
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ranges = []
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start = None
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has_accepted = False
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for x in range(0x110000):
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c = chr(x)
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if accept(c):
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has_accepted = True
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if start is None:
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start = None
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elif unicodedata.category(c) == 'Cn':
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if start is None:
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start = c
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elif start is not None:
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if has_accepted:
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ranges.append('-'.join([start, chr(x-1)]))
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has_accepted = False
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start = None
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else:
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if has_accepted and start is not None:
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ranges.append('-'.join([start, chr(x-1)]))
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return '[%s]' % ''.join(ranges)
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if __name__ == '__main__':
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import argparse
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parser = argparse.ArgumentParser(description='Generate a regex matching a function')
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parser.add_argument('acceptor', help='an python function that accepts a single char')
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args = parser.parse_args()
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print(func_to_regex(eval(args.acceptor)))
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