def main():
send = sender()
send.set_key("ahanushppassword")
#set_key must be 16
send.encode("DHanush")
send.create_keys()
rec = receiver()
rec.load_key("D://Programs/AES/ahanushppassword.csv")
rec.decode()
def goodsDetail(session,):
"""
进入商详
:param session:
:return:
"""
receiver(session)
getGoodsDetailUrls = copy.copy(urls["getGoodsDetail"])
getGoodsDetailUrls["req_url"] = getGoodsDetailUrls["req_url"].format(session.pid)
t = threading.Thread(target=getVcode, args=(session,)) # 验证码线程
t.setDaemon(True)
t.start()
t2 = threading.Thread(target=searchOrderInfo, args=(session,)) # 查询订单线程
t2.setDaemon(True)
t2.start()
goodsDetailRsp = session.httpClint.send(getGoodsDetailUrls)
data = goodsDetailRsp.get("data", {})
session.sku = data["product"]["bn"]
product_id = data["product"]["product_id"]
goodsProducts(session, product_id)
transmitSignal_X1, transmitSignal_X2 = transmitter(digitalInput_X1,
digitalInput_X2, inputSize)
#Output after impulse convolution
#hValue = random.randn(2,2)
hValue = array([[0.4, 0.9], [0.5, 0.8]])
convolved_X1, convolved_X2 = multiplethreading(transmitSignal_X1,
transmitSignal_X2, hValue)
# Output after noise addition
noisedSignal_X1, noisedSignal_X2 = NoiseChannel(convolved_X1, convolved_X2,
inputSize, snrArray, snrSize)
# Signal received at receiver and demodulated
receivedSignal_X1, receivedSignal_X2 = receiver(noisedSignal_X1,
noisedSignal_X2,
len(noisedSignal_X1),
len(noisedSignal_X2), hValue)
t = []
for i in xrange(len(receivedSignal_X1) / inputSize):
t.append(receivedSignal_X1[i * inputSize:((i + 1) * inputSize)])
receivedSignal_X1 = t
t1 = []
for i in xrange(len(receivedSignal_X2) / inputSize):
t1.append(receivedSignal_X2[i * inputSize:((i + 1) * inputSize)])
receivedSignal_X2 = t1
#print '\n', receivedSignal_X1, '\n', receivedSignal_X2
#print '\n', digitalInput_X1, '\n', digitalInput_X2
# Error per SNR calculations
for i in range(inputSize): digitalInput_X2.append(randint(0,1)) # Output of Transmitter transmitSignal_X1, transmitSignal_X2 = transmitter(digitalInput_X1, digitalInput_X2, inputSize) #Output after impulse convolution #hValue = random.randn(2,2) hValue = array([[0.4,0.9],[0.5,0.8]]) convolved_X1, convolved_X2 = multiplethreading(transmitSignal_X1, transmitSignal_X2, hValue) # Output after noise addition noisedSignal_X1, noisedSignal_X2 = NoiseChannel(convolved_X1, convolved_X2, inputSize, snrArray, snrSize) # Signal received at receiver and demodulated receivedSignal_X1, receivedSignal_X2 = receiver(noisedSignal_X1, noisedSignal_X2, len(noisedSignal_X1), len(noisedSignal_X2), hValue) t = [] for i in xrange(len(receivedSignal_X1)/inputSize): t.append(receivedSignal_X1[i*inputSize:((i+1)*inputSize)]) receivedSignal_X1 = t t1 = [] for i in xrange(len(receivedSignal_X2)/inputSize): t1.append(receivedSignal_X2[i*inputSize:((i+1)*inputSize)]) receivedSignal_X2 = t1 #print '\n', receivedSignal_X1, '\n', receivedSignal_X2 #print '\n', digitalInput_X1, '\n', digitalInput_X2 # Error per SNR calculations
digitalInput = []
for i in range(inputSize):
digitalInput.append(randint(0,1))
# Output of Transmitter
transmitSignal = transmitter(digitalInput, inputSize)
#Output after impulse convolution
convolved = h(transmitSignal, hValue)
# Output after noise addition
noisedSignal = NoiseChannel(convolved, inputSize, snrArray, snrSize)
#print noisedSignal
# Signal received at receiver and demodulated
receivedSignal = receiver(noisedSignal, len(noisedSignal),hValue)
#print receivedSignal, len(receivedSignal)
#print digitalInput
# Error per SNR calculations
err = []
for i in range(len(noisedSignal)):
l = [0]*inputSize
for j in range(len(digitalInput)):
l[j] = abs(receivedSignal[i][j] - digitalInput[j])
err.append(sum(l))
# Error per bit calculations
for i in range(len(err)):
err[i] /= float(inputSize)
#print err
# Theoritical bit error rate calculation
