def train(self, s, path="spelling.txt"):
        """ Counts the words in the given string and saves the probabilities at the given path.
            This can be used to generate a new model for the Spelling() constructor.
        """
        model = {}
        for w in re.findall("[a-z]+", s.lower()):
            model[w] = w in model and model[w] + 1 or 1
        model = ("%s %s" % (k, v) for k, v in sorted(model.items()))
        model = "\n".join(model)
        f = open(path, "w")
        f.write(model)
        f.close()
def train ( self , s , path = "spelling.txt" ) : model = { } for w in re . findall ( "[a-z]+" , s . lower ( ) ) : model [ w ] = w in model and model [ w ] + 1 or 1 model = ( "%s %s" % ( k , v ) for k , v in sorted ( model . items ( ) ) ) model = "\n" . join ( model ) f = open ( path , "w" ) f . write ( model ) f . close ( )
Counts the words in the given string and saves the probabilities at the given path.
            This can be used to generate a new model for the Spelling() constructor.