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cleaned up gen regex

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This commit is contained in:
Joshua Chin 2015-07-07 16:00:24 -04:00
parent 189a5b9cd6
commit 27ea107e6f
1 changed files with 24 additions and 21 deletions
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45
scripts/gen_regex.py
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@ -8,25 +8,31 @@ from pkg_resources import resource_filename
DATA_PATH = pathlib.Path(resource_filename('wordfreq', 'data'))
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 _emoji_char_class():
"""
Build a regex for emoji substitution. We create a regex character set
(like "[a-cv-z]") matching characters we consider emoji.
"""
emoji_file = DATA_PATH / 'emoji.txt'
def accept(c):
x = ord(c)
return chardata.CHAR_CLASS_STRING[x] == '3' and \
x >= 0x2600 and x != 0xfffd
with (DATA_PATH / 'emoji.txt').open(mode='w') as file:
file.write(func_to_regex(accept))
cache_regex_from_func(
'emoji.txt',
lambda c:
chardata.CHAR_CLASS_STRING[ord(c)] == '3' and
c >= '\u2600' and c != '\ufffd'
)
def _non_punct_class():
"""
Builds a regex that matches anything that is not a one of the following
Builds a regex that matches anything that is not one of the following
classes:
- P: punctuation
- S: symbols
@ -35,23 +41,20 @@ def _non_punct_class():
This will classify symbols, including emoji, as punctuation; callers that
want to treat emoji separately should filter them out first.
"""
non_punct_file = DATA_PATH / 'non_punct.txt'
out = func_to_regex(lambda c: unicodedata.category(c)[0] not in 'PSZC')
with non_punct_file.open(mode='w') as file:
file.write(out)
cache_regex_from_func(
'non_punct.txt',
lambda c: unicodedata.category(c)[0] not in 'PSZC'
)
def _combining_mark_class():
"""
Builds a regex that matches anything that is a combining mark
"""
combining_mark_file = DATA_PATH / 'combining_mark.txt'
out = func_to_regex(lambda c: unicodedata.category(c)[0] == 'M')
with combining_mark_file.open(mode='w') as file:
file.write(out)
cache_regex_from_func(
'combining_mark.txt',
lambda c: unicodedata.category(c)[0] == 'M'
)
def func_to_regex(accept):