spaCy/spacy/lang/lex_attrs.py

# 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 is_currency(text):
    # can be overwritten by lang with list of currency words, e.g. dollar, euro
    for char in text:
        if unicodedata.category(char) != 'Sc':
            return False
    return True


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
    if '@' in text:
        # prevent matches on e-mail addresses – check after splitting the text
        # to still allow URLs containing an '@' character (see #1715)
        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)

def lower(string): return string.lower()
def prefix(string): return string[0]
def suffix(string): return string[-3:]
def cluster(string): return 0
def is_alpha(string): return string.isalpha()
def is_digit(string): return string.isdigit()
def is_lower(string): return string.islower()
def is_space(string): return string.isspace()
def is_title(string): return string.istitle()
def is_upper(string): return string.isupper()
def is_stop(string, stops=set()): return string.lower() in stops
def is_oov(string): return True
def get_prob(string): return -20.

LEX_ATTRS = {
    attrs.LOWER: lower,
    attrs.NORM: lower,
    attrs.PREFIX: prefix,
    attrs.SUFFIX: suffix,
    attrs.CLUSTER: cluster,
    attrs.IS_ALPHA: is_alpha,
    attrs.IS_DIGIT: is_digit,
    attrs.IS_LOWER: is_lower,
    attrs.IS_SPACE: is_space,
    attrs.IS_TITLE: is_title,
    attrs.IS_UPPER: is_upper,
    attrs.IS_STOP: is_stop,
    attrs.IS_OOV: is_oov,
    attrs.PROB: get_prob,
    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.IS_CURRENCY: is_currency,
    attrs.LIKE_URL: like_url
}