def main():
#define query doc here
cosine = Cosine(original_path, query_path)
jacardian = Jacardian(original_path, query_path)
hamming = Hamming(original_path, query_path)
print("Cosine similarity is:")
print(cosine.similarity())
print("Jacardian similarity is:")
print(jacardian.similarity())
print("Hamming similarity is:")
print(hamming.similarity())
def setErrors(data):
length = len(data)
i, j = 0, 7
while j <= length:
randIndex = randint(i, j - 1)
temp = data[randIndex]
temp = '1' if int(temp) == 0 else '0'
data = data[:randIndex] + temp + data[randIndex + 1:]
i = j
j += 7
return data
file = ReadFile('txt_files/Text.txt', analize=True)
source = Huffman(file.data)
encripted = source.encript(file.file_text)
channel = Hamming()
encripted = channel.encode(encripted)
#set errors
errorData = setErrors(encripted)
writeToFile('Encripted Text', errorData)
#fix errors
channel = Hamming()
trueData = channel.decode(errorData)
decripted = source.decript(trueData)
writeToFile('Decripted Text', decripted)
def setUp(self):
self.tmp = Hamming()
from FileUtil import FileUtil
from Hamming import Hamming
from NoiseGenerator import NoiseGenerator
source = FileUtil.read("source.txt")
ham = Hamming()
emis = ""
while len(source) >= 4:
mot = source[0:4]
emis += ham.hamming(mot)
source = source[4:]
FileUtil.write("emis.txt", emis)
recu = NoiseGenerator.convert(emis)
FileUtil.write("recu.txt", recu)
correct = ""
while len(recu) >= 7:
mot = recu[0:7]
correct += ham.correction(mot)
recu = recu[7:]
FileUtil.write("correct.txt", correct)
message = ""
while len(correct) >= 7:
mot = correct[0:7]
