def Analyze(Text):
 notvocab = []
 words = {}
 invocab = 0
 for i in Text:
   if i not in words.keys():
     words[i] = 1
   else:
     words[i] += 1
 print("Unique words: {}".format(len(words.keys())))
 print("All words: {}".format(sum(words.values())))
 for i in words.keys():
   if i in vocab.keys():
     invocab += 1
   else:
     notvocab.append(i)
 print("Words in vocab: {}".format(invocab))
 print("Words not in vocab: {}\n".format(len(notvocab)))
 return notvocab

#start
task = open("brain262.txt").read().lower()
signs = ['!', '?', ',', ';', '.', ':', '«', '(', ')', '»']
for i in signs:
    task = task.replace(i, '')


task = open("brain309.txt").read().lower()
dicty = open("dict1.txt").read().strip().split("\n")
vocab = {}
for i in diction:
 temp = i.split()
 key = temp[0]
 value = int(temp[1])
 vocab[key] = value
Signs = ['!', '?', ',', ';', '.', ':', '«', '(', ')', '»']
for i in Signs:
 task = task.replace(i, '')
task = task.split()
print("Analyze before correcting: \n")






NewDictionary = Calculation(task) #analyze for 2 task
CorrectText = [] #our corrected result text
print("Searching mistakes...\n")
for i in NewDictionary:
 PossibleErrors = []
 ReplacementsFromDictionary = []
 for j in vocab.keys():
   PossibleErrors.append((j, RedactorDistance(i, j)))
   PossibleErrors = sorted(PossibleErrors, key=lambda x: x[1])
   ReplacementsFromDictionary.append(PossibleErrors[0][0])
   MinRedactorDistance = PossibleErrors[0][1]
   CorrectText.append((i, ReplacementsFromDictionary[0],
MinRedactorDistance))