spaCy/spacy/lang/lex_attrs.py

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# coding: utf8
from __future__ import unicode_literals
import unicodedata
import regex as re
from .. import attrs
_like_email = re.compile(r'([a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+)').match
_tlds = set(
"com|org|edu|gov|net|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|"
"name|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|"
"ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|"
"cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|"
"ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|"
"gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|"
"je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|"
"lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|"
"na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|"
"pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|sk|sl|sm|sn|so|sr|"
"ss|st|su|sv|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|"
"ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|za|zm|zw".split('|'))
def is_punct(text):
for char in text:
if not unicodedata.category(char).startswith('P'):
return False
return True
def is_ascii(text):
for char in text:
if ord(char) >= 128:
return False
return True
def like_num(text):
# can be overwritten by lang with list of number words
text = text.replace(',', '').replace('.', '')
if text.isdigit():
return True
if text.count('/') == 1:
num, denom = text.split('/')
if num.isdigit() and denom.isdigit():
return True
return False
def is_bracket(text):
brackets = ('(',')','[',']','{','}','<','>')
return text in brackets
def is_quote(text):
quotes = ('"',"'",'`','«','»','','','','','','','','','','','','',"''",'``')
return text in quotes
def is_left_punct(text):
left_punct = ('(','[','{','<','"',"'",'«','','','','','','','','','``')
return text in left_punct
def is_right_punct(text):
right_punct = (')',']','}','>','"',"'",'»','','','','',"''")
return text in right_punct
def like_email(text):
return bool(_like_email(text))
def like_url(text):
# We're looking for things that function in text like URLs. So, valid URL
# or not, anything they say http:// is going to be good.
if text.startswith('http://') or text.startswith('https://'):
return True
elif text.startswith('www.') and len(text) >= 5:
return True
if text[0] == '.' or text[-1] == '.':
return False
for i in range(len(text)):
if text[i] == '.':
break
else:
return False
tld = text.rsplit('.', 1)[1].split(':', 1)[0]
if tld.endswith('/'):
return True
if tld.isalpha() and tld in _tlds:
return True
return False
def word_shape(text):
if len(text) >= 100:
return 'LONG'
length = len(text)
shape = []
last = ''
shape_char = ''
seq = 0
for char in text:
if char.isalpha():
if char.isupper():
shape_char = 'X'
else:
shape_char = 'x'
elif char.isdigit():
shape_char = 'd'
else:
shape_char = char
if shape_char == last:
seq += 1
else:
seq = 0
last = shape_char
if seq < 4:
shape.append(shape_char)
return ''.join(shape)
LEX_ATTRS = {
attrs.LOWER: lambda string: string.lower(),
attrs.NORM: lambda string: string,
attrs.PREFIX: lambda string: string[0],
attrs.SUFFIX: lambda string: string[-3:],
attrs.CLUSTER: lambda string: 0,
attrs.IS_ALPHA: lambda string: string.isalpha(),
attrs.IS_DIGIT: lambda string: string.isdigit(),
attrs.IS_LOWER: lambda string: string.islower(),
attrs.IS_SPACE: lambda string: string.isspace(),
attrs.IS_TITLE: lambda string: string.istitle(),
attrs.IS_UPPER: lambda string: string.isupper(),
attrs.IS_STOP: lambda string: False,
attrs.IS_OOV: lambda string: True,
attrs.LIKE_EMAIL: like_email,
attrs.LIKE_NUM: like_num,
attrs.IS_PUNCT: is_punct,
attrs.IS_ASCII: is_ascii,
attrs.SHAPE: word_shape,
attrs.IS_BRACKET:is_bracket,
attrs.IS_QUOTE: is_quote,
attrs.IS_LEFT_PUNCT: is_left_punct,
attrs.IS_RIGHT_PUNCT: is_right_punct,
attrs.LIKE_URL: like_url
}