def get_candidates(word):
w = Word(word, self.lang)
candidates = (self.existing([word]) or
self.existing(w.typos()) or
self.existing(w.double_typos()) or
[word])
return [(self.nlp_data.get(c), c) for c in candidates]
def autocorrect_word(self, word):
"""most likely correction for everything up to a double typo"""
w = Word(word, self.lang)
candidates = (self.existing([word]) or
self.existing(w.typos()) or
self.existing(w.double_typos()) or
[word])
return max(candidates, key=self.nlp_data.get)
def get_candidates(self, word):
w = Word(word, self.lang, self.only_replacements)
if self.fast:
candidates = self.existing([word]) or self.existing(
w.typos()) or [word]
else:
candidates = (self.existing([word]) or self.existing(w.typos())
or self.existing(w.double_typos()) or [word])
return [(self.nlp_data.get(c, 0), c) for c in candidates]
def test_single_typos():
word = Word("me", "en")
assert set(word.typos()) == single_typos_me
def test_single_typos():
word = Word('me', 'en')
assert set(word.typos()) == single_typos_me