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https://github.com/rspeer/wordfreq.git
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parent
a72b4abb48
commit
7e9338f87e
@ -8,25 +8,31 @@ from pkg_resources import resource_filename
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DATA_PATH = pathlib.Path(resource_filename('wordfreq', 'data'))
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def cache_regex_from_func(filename, func):
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"""
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Generates a regex from a function that accepts a single unicode character,
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and caches it in the data path at filename.
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"""
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with (DATA_PATH / filename).open(mode='w') as file:
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file.write(func_to_regex(func))
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def _emoji_char_class():
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"""
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Build a regex for emoji substitution. We create a regex character set
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(like "[a-cv-z]") matching characters we consider emoji.
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"""
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emoji_file = DATA_PATH / 'emoji.txt'
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def accept(c):
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x = ord(c)
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return chardata.CHAR_CLASS_STRING[x] == '3' and \
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x >= 0x2600 and x != 0xfffd
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with (DATA_PATH / 'emoji.txt').open(mode='w') as file:
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file.write(func_to_regex(accept))
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cache_regex_from_func(
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'emoji.txt',
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lambda c:
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chardata.CHAR_CLASS_STRING[ord(c)] == '3' and
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c >= '\u2600' and c != '\ufffd'
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)
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def _non_punct_class():
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"""
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Builds a regex that matches anything that is not a one of the following
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Builds a regex that matches anything that is not one of the following
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classes:
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- P: punctuation
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- S: symbols
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@ -35,23 +41,20 @@ def _non_punct_class():
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This will classify symbols, including emoji, as punctuation; callers that
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want to treat emoji separately should filter them out first.
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"""
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non_punct_file = DATA_PATH / 'non_punct.txt'
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out = func_to_regex(lambda c: unicodedata.category(c)[0] not in 'PSZC')
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with non_punct_file.open(mode='w') as file:
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file.write(out)
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cache_regex_from_func(
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'non_punct.txt',
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lambda c: unicodedata.category(c)[0] not in 'PSZC'
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)
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def _combining_mark_class():
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"""
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Builds a regex that matches anything that is a combining mark
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"""
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combining_mark_file = DATA_PATH / 'combining_mark.txt'
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out = func_to_regex(lambda c: unicodedata.category(c)[0] == 'M')
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with combining_mark_file.open(mode='w') as file:
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file.write(out)
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cache_regex_from_func(
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'combining_mark.txt',
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lambda c: unicodedata.category(c)[0] == 'M'
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)
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def func_to_regex(accept):
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