你们都用Python实现了哪些办公自动化？ 第1页

       import re from collections import Counter def words(text): return re.findall(r'w+', text.lower())  WORDS = Counter(words(open('big.txt').read()))  def P(word, N=sum(WORDS.values())):      "Probability of `word`."     return WORDS[word] / N  def correction(word):      "Most probable spelling correction for word."     return max(candidates(word), key=P)  def candidates(word):      "Generate possible spelling corrections for word."     return (known([word]) or known(edits1(word)) or known(edits2(word)) or [word])  def known(words):      "The subset of `words` that appear in the dictionary of WORDS."     return set(w for w in words if w in WORDS)  def edits1(word):     "All edits that are one edit away from `word`."     letters    = 'abcdefghijklmnopqrstuvwxyz'     splits     = [(word[:i], word[i:])    for i in range(len(word) + 1)]     deletes    = [L + R[1:]               for L, R in splits if R]     transposes = [L + R[1] + R[0] + R[2:] for L, R in splits if len(R)>1]     replaces   = [L + c + R[1:]           for L, R in splits if R for c in letters]     inserts    = [L + c + R               for L, R in splits for c in letters]     return set(deletes + transposes + replaces + inserts)  def edits2(word):      "All edits that are two edits away from `word`."     return (e2 for e1 in edits1(word) for e2 in edits1(e1))