《操作系统》的实验代码。
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153 rivejä
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#! /usr/bin/env python
import sys
from optparse import OptionParser
import random
parser = OptionParser()
parser.add_option("-s", "--seed", default=0, help="the random seed",
action="store", type="int", dest="seed")
parser.add_option("-j", "--jobs", default=3, help="number of jobs in the system",
action="store", type="int", dest="jobs")
parser.add_option("-l", "--jlist", default="", help="instead of random jobs, provide a comma-separated list of run times",
action="store", type="string", dest="jlist")
parser.add_option("-m", "--maxlen", default=10, help="max length of job",
action="store", type="int", dest="maxlen")
parser.add_option("-p", "--policy", default="FIFO", help="sched policy to use: SJF, FIFO, RR",
action="store", type="string", dest="policy")
parser.add_option("-q", "--quantum", help="length of time slice for RR policy", default=1,
action="store", type="int", dest="quantum")
parser.add_option("-c", help="compute answers for me", action="store_true", default=True, dest="solve")
(options, args) = parser.parse_args()
random.seed(options.seed)
print 'ARG policy', options.policy
if options.jlist == '':
print 'ARG jobs', options.jobs
print 'ARG maxlen', options.maxlen
print 'ARG seed', options.seed
else:
print 'ARG jlist', options.jlist
print ''
print 'Here is the job list, with the run time of each job: '
import operator
joblist = []
if options.jlist == '':
for jobnum in range(0,options.jobs):
runtime = int(options.maxlen * random.random()) + 1
joblist.append([jobnum, runtime])
print ' Job', jobnum, '( length = ' + str(runtime) + ' )'
else:
jobnum = 0
for runtime in options.jlist.split(','):
joblist.append([jobnum, float(runtime)])
jobnum += 1
for job in joblist:
print ' Job', job[0], '( length = ' + str(job[1]) + ' )'
print '\n'
if options.solve == True:
print '** Solutions **\n'
if options.policy == 'SJF':
#YOUR CODE
pass
if options.policy == 'FIFO':
thetime = 0
print 'Execution trace:'
#YOUR CODE
print '\nFinal statistics:'
t = 0.0
count = 0
turnaroundSum = 0.0
waitSum = 0.0
responseSum = 0.0
for tmp in joblist:
jobnum = tmp[0]
runtime = tmp[1]
response = t
turnaround = t + runtime
wait = t
print ' Job %3d -- Response: %3.2f Turnaround %3.2f Wait %3.2f' % (jobnum, response, turnaround, wait)
responseSum += response
turnaroundSum += turnaround
waitSum += wait
t += runtime
count = count + 1
print '\n Average -- Response: %3.2f Turnaround %3.2f Wait %3.2f\n' % (responseSum/count, turnaroundSum/count, waitSum/count)
if options.policy == 'RR':
print 'Execution trace:'
turnaround = {}
response = {}
lastran = {}
wait = {}
quantum = float(options.quantum)
jobcount = len(joblist)
for i in range(0,jobcount):
lastran[i] = 0.0
wait[i] = 0.0
turnaround[i] = 0.0
response[i] = -1
runlist = []
for e in joblist:
runlist.append(e)
thetime = 0.0
while jobcount > 0:
# print '%d jobs remaining' % jobcount
job = runlist.pop(0)
jobnum = job[0]
runtime = float(job[1])
if response[jobnum] == -1:
response[jobnum] = thetime
currwait = thetime - lastran[jobnum]
wait[jobnum] += currwait
ranfor = 0
if runtime > quantum:
#YOUR CODE
print ' [ time %3d ] Run job %3d for %.2f secs' % (thetime, jobnum, ranfor)
runlist.append([jobnum, runtime])
else:
#YOUR CODE
print ' [ time %3d ] Run job %3d for %.2f secs ( DONE at %.2f )' % (thetime, jobnum, ranfor, thetime + ranfor)
turnaround[jobnum] = thetime + ranfor
jobcount -= 1
thetime += ranfor
lastran[jobnum] = thetime
print '\nFinal statistics:'
turnaroundSum = 0.0
waitSum = 0.0
responseSum = 0.0
for i in range(0,len(joblist)):
turnaroundSum += turnaround[i]
responseSum += response[i]
waitSum += wait[i]
print ' Job %3d -- Response: %3.2f Turnaround %3.2f Wait %3.2f' % (i, response[i], turnaround[i], wait[i])
count = len(joblist)
print '\n Average -- Response: %3.2f Turnaround %3.2f Wait %3.2f\n' % (responseSum/count, turnaroundSum/count, waitSum/count)
if options.policy != 'FIFO' and options.policy != 'SJF' and options.policy != 'RR':
print 'Error: Policy', options.policy, 'is not available.'
sys.exit(0)
else:
print 'Compute the turnaround time, response time, and wait time for each job.'
print 'When you are done, run this program again, with the same arguments,'
print 'but with -c, which will thus provide you with the answers. You can use'
print '-s <somenumber> or your own job list (-l 10,15,20 for example)'
print 'to generate different problems for yourself.'
print ''