Untitled

import re, collections

 

# NWORDS = train(words(NAMESTRING))

alphabet = 'abcdefghijklmnopqrstuvwxyz'

class Spelling(object):

# borrowed from http://norvig.com/spell-correct.html

        def words(self,text):

                return re.findall('[a-z]+', text.lower())

 

        def train(self,features):

                model = collections.defaultdict(lambda: 1)

                for f in features:

                        model[f] += 1

                return model

 

        def __init__(self, NAMES):

                self.NWORDS = self.train(self.words(NAMES))

                self.alphabet = 'abcdefghijklmnopqrstuvwxyz'

 

        def edits1(self,word):

                splits     = [(word[:i], word[i:]) for i in range(len(word) + 1)]

                deletes    = [a + b[1:] for a, b in splits if b]

                transposes = [a + b[1] + b[0] + b[2:] for a, b in splits if len(b)>1]

                replaces   = [a + c + b[1:] for a, b in splits for c in self.alphabet if b]

                inserts    = [a + c + b for a, b in splits for c in self.alphabet]

                return set(deletes + transposes + replaces + inserts)

 

        def known_edits2(self,word):

                return set(e2 for e1 in self.edits1(word) for e2 in self.edits1(e1) if e2 in self.NWORDS)

 

        def known(self,words): return set(w for w in words if w in self.NWORDS)

 

        def correct(self,word):

                candidates = self.known([word]) or self.known(self.edits1(word)) or self.known_edits2(word) or [word]

                return max(candidates, key=self.NWORDS.get)

               

class str(str):

        def __init__(self):

                super(str)

                self.s=Spelling("words word")

        def spell():

                return s.correct(self.value)

       

 

print repr((raw_input().correct()))