Need Help

[abosalim]

On May 25, 5:39 am, Steven D'Aprano
<ste... at REMOVE.THIS.cybersource.com.au> wrote:
> On Mon, 25 May 2009 00:16:19 +0200, Piet van Oostrum wrote:
> > By the way, it is better to add python code as attachment instead of
> > inline text because some news software might fold the lines like in your
> > posting, making it difficult to reconstruct the code.
>
> Except that some news software might not show the attachment at all.
>
> --
> Steven

I modified the method,but it can't identified it.(self.res=textcorrect
(self.string)
NameError: global name 'textcorrect' is not defined)
This is what i done:


import re, collections
from Tkinter import *
from nltk_lite import tokenize
class Ex3:
    def __init__(self, master):
        self.frame = Frame(master)
        self.frame.pack()
        self.field = Entry(self.frame)
        self.field.pack(side=TOP)
        self.contents = StringVar()
        self.field.config(text=self.contents)
        self.stop = Button(self.frame, text="Exit", fg="red",
command=self.frame.quit)
        self.stop.pack(side=RIGHT)
        self.enter = Button(self.frame, text="Correct", fg="black",
command=self.new)
        self.enter.pack(side=LEFT)



    def words(text): return re.findall('[a-z]+', text.lower())
    def train(features):
        model = collections.defaultdict(lambda: 1)
        for f in features:
            model[f] += 1
            return model
        NWORDS = train(words(file('big1.txt').read()))
        alphabet = 'abcdefghijklmnopqrstuvwxyz'
    def edits1(word):
        s = [(word[:i], word[i:]) for i in range(len(word) + 1)]
        deletes = [a + b[1:] for a, b in s if b]
        transposes = [a + b[1] + b[0] + b[2:] for a, b in s if len(b)
>1]
        replaces = [a + c + b[1:] for a, b in s for c in alphabet if
b]
        inserts = [a + c + b for a, b in s for c in alphabet]
        return set(deletes + transposes + replaces + inserts)
    def known_edits2(word):
        return set(e2 for e1 in edits1(word) for e2 in edits1(e1) if
e2 in NWORDS)
    def known(words):
        return set(w for w in words if w in NWORDS)
    def correct(word):
        candidates = known([word]) or known(edits1(word)) or
known_edits2(word) or [word]
        return max(candidates, key=lambda w: NWORDS[w])
    def textcorrect(str):
        s=[]
        for i in tokenize.whitespace(str):
            s.append(correct(i))
            result= " ".join(s)
            return result
    def new(self):
        self.string = self.contents.get()
        #pass contents of textfield to textcorrect()method above
        self.res=textcorrect(self.string)
        self.frame2 = Frame()
        self.frame2.pack()
        self.words = Label(self.frame2, text=self.res, fg="blue", font=
("Arial", 16))
        self.words.pack()

root = Tk()
Ex3 = Ex3(root)
root.mainloop()