对于实例我在python中有三个函数和一个for循环，我想顺序执行所有这些函数，例如在第一次迭代时应该执行函数1，在第二次迭代函数2上执行等等
这三个功能是：
from scapy.all import *
from random import randint
import threading
import time
from datetime import datetime
import multiprocessing
from itertools import count
#pktList = []
#pktsInt = 0
#def Packets():
# Generate packet
#for run_no in range(0,1)
p = raw_input('Enter PACKETs to send: ')
pktsInt = int(p)
pkts = IP(src="10.0.0.1",dst="10.0.0.2")/TCP()/"GET /HTTP/1.0\r\n\r\n"/Raw(RandString(size=120))
#print pkts
pkts[TCP].flags = "UFP"
pktList = []
for pktNum in range(0,pktsInt):
pktList.extend(pkts)
pktList[pktNum][TCP].dport = 80
#randint(1,65535) # Pkt has Ran PortNo.
print pktList[pktNum].summary()
#print len(pktList[pktNum])
#wrpcap('tcp-packets.pcap',pktList[pktNum])
#queue.put((run_no, pktsInt, pktsList))
# Send the list of packets send(pktList)
def send_http(queue):
for run_number in range(0,1): # this will run indefinitely, same as while True, must be killed to stop.
start=datetime.now()
print "\nStart Time: ", start
start_time=time.time()
send(pktList)
end = datetime.now()
print "\nEnd Time: ", end
totalTime = time.time()-start_time
totalBytes=(pktsInt*120)/totalTime
#print totalBytes,"Seconds"
queue.put((run_number, totalTime, totalBytes))
# Generate packet
pkts1 = IP(dst="10.0.0.2")/fuzz(UDP()/NTP(version=4))/Raw(RandString(size=120))
#print pkts
pkts1[UDP].flags = "UFP"
pktList1 = []
for pktNum1 in range(0,10):
pktList1.extend(pkts1)
pktList1[pktNum1][UDP].dport = randint(1,65535) # Pkt has Ran PortNo.
print pktList1[pktNum1].summary()
#print len(pktList1[pktNum1])
#wrpcap('udp-packets.pcap',pktList1[pktNum1])
# Send the list of packets send(pktList)
def send_ntp(queue):
for run_number in range(1,2): # this will run indefinitely, same as while True, must be killed to stop.
start1 = datetime.now()
print "\nStart Time: ", start1
start_time1=time.time()
send(pktList1)
end1 = datetime.now()
print "\nEnd Time: ", end1
totalTime = time.time()-start_time1
totalBytes=(10*120)/totalTime
#print totalBytes,"Seconds"
queue.put((run_number, totalTime, totalBytes))
# Generate packet
pkts2 = IP(src="10.0.0.1",dst="10.0.0.2")/TCP()/Raw(RandString(size=120))
#print pkts
pkts2[TCP].flags = "UFP"
pktList2 = []
for pktNum2 in range(0,5):
pktList2.extend(pkts2)
pktList2[pktNum2][TCP].dport = 25 # Pkt has Ran PortNo.
print pktList2[pktNum2].summary()
#print len(pktList2[pktNum2])
#wrpcap('tcp-packets.pcap',pktList[pktNum])
def send_smtp(queue):
# Send the list of packets send(pktList)
for run_number in range(2,3): # this will run indefinitely, same as while True, must be killed to stop.
start2 = datetime.now()
print "\n Start Time: ", start2
start_time2=time.time()
send(pktList2)
totalTime = time.time()-start_time2
end2 = datetime.now()
print "\nEnd Time: ", end2
totalBytes=(5*120)/totalTime
#print totalBytes,"Seconds"
queue.put((run_number, totalTime, totalBytes))
#print pktList[0].summary()
#start_time=time.time()
#send(pktList2)
#print pktList2[0].show()
#print pktList2[0].show2()
q = multiprocessing.Queue()
#t1 = multiprocessing.Process(target=Packets)
t = multiprocessing.Process(target=send_http, args=(q, ))
p = multiprocessing.Process(target=send_ntp, args=(q, ))
r = multiprocessing.Process(target=send_smtp, args=(q, ))
#t1.start()
t.start()
time.sleep(12) # "Some interval of time"
p.start()
time.sleep(16)
r.start()
time.sleep(29)
if t.is_alive():
t.terminate()
if p.is_alive():
p.terminate()
if r.is_alive():
r.terminate()
rates = []
while True: # This loop will pull all items out of the queue and display them.
run = q.get()
if not run: # When we reach the end of the queue, exit
break
run_number, total_time, total_bytes = run
print "Run {run_number} took a total of {total_time}\
at an average rate of {total_bytes:.1f} B/s".format(run_number=run_number,
total_time=total_time,
total_bytes=total_bytes)
rates.append(total_bytes)
print "Average rate of {0:.1f} B/s".format(sum(rates)/float(len(rates)))
和for-loop
# Make a function iterable, by repeatedly calling it.
def make_iterable(func, *args):
try:
while 1:
yield func(*args)
except:
pass
uni_rand = make_iterable(random.uniform, 0, 1)
# A generator for inter-arrival times.
inter_arrival = ( -(1./a)*math.log(u) for u in uni_rand)
# Generate inter-arrival times, then sleep for that long.
inter_arrival_iter = iter(inter_arrival)
for i in xrange(count):
inter_arrival_seconds = inter_arrival_iter.next() * 3600.
print "Sleeping for %f seconds." % inter_arrival_seconds
time.sleep(inter_arrival_seconds)
#func1()
#Sequential Function Calling Here except for the executed one
现在问题是我正在使用具有上述所有功能的多处理，我现在如何调用它们以产生不同的到达时间
答案 0 :(得分：8)
只需将函数放在一个可迭代的函数中，然后在for循环中逐个调用它们：
for afunc in (func1, func2, func3, func4):
afunc()
答案 1 :(得分：3)
您可以将这些功能放在一个列表中：
functions = [func1, func2, func3, func4]
for i in range(20):
function = functions[i%4]
修改
它会做什么？
>>> def func1():
print('I am the first function!')
>>> def func2():
print('I am the second function!')
>>> def func3():
print('I am the third function!')
>>> def func4():
print('I am the fourth function!')
>>> functions = [func1, func2, func3, func4]
>>> for i in range(10):
function = functions[i%4]
function()
I am the first function!
I am the second function!
I am the third function!
I am the fourth function!
I am the first function!
I am the second function!
I am the third function!
I am the fourth function!
I am the first function!
I am the second function!
编辑2
除了3个函数之外，你是否只想要相同的东西？
functions = [func1, func2, func3]
for i in xrange(count):
functions[i%3]()
#do the rest of your stuff here