time1 += sequeueGenerate.generationtime
count += sequeueGenerate.successnumber
number += sequeueGenerate.sequencenumber
time2 += sequeueGenerate.generationsorttime
length += sequeueGenerate.sequencelength
select += sequeueGenerate.selecenumber
# print 11111111111111111111111111111111111111111111
# print target.targetList[0]
if sequeueGenerate.sequencenumber == 0:
flag += 1
target.sort()
print target.targetList
# endtime=0
else:
flag = 0
target.change()
endtime = endtime + time.time() - starttime
# del target.targetList[0]
print "%s个目标分支生成了序列" % count
print "生成序列条数为%s" % number
print "%s条可执行" % end
print "序列生成平均时间为%s" % (time1 / count)
print "优先级排序平均时间: %s" % (time2 / count)
print "平均序列长度:"
print(format(length / count, '.2f'))
print "平均选择次数:"
print(format(select / count, '.2f'))
print "总平均时间: %s" % (endtime / number)
def execute():
time1 = 0
count = 0
time2 = 0
number = 0
length = 0
select = 0
flag = 0
iteration = 0
while target.targetbranchlist and flag <= len(target.targetbranchlist):
# 序列生成
pathT = sequeueGenerate.search()
time1 += sequeueGenerate.generationtime
count += sequeueGenerate.successnumber
number += sequeueGenerate.sequencenumber
time2 += sequeueGenerate.generationsorttime
length += sequeueGenerate.sequencelength
select += sequeueGenerate.selecenumber
iteration += 1
# print pathT
# print "\n"
if len(pathT):
pathT.pop(len(pathT) - 1)
# print pathT
# print 1111111111111111111111111111
#print domanaiyzer.target.src
# sys.path.append("D:/graphTraversal-submit2/efsmGA/model/")
# writepath = r''
# filepath = r''
# filename = r'webchess'
#
# with open(r"D:/graphTraversal-submit2/efsmGA/model/" + writepath + filename + '.dot', 'w+') as fout:
# fout.writelines("digraph g {\n")
# with open("D:/graphTraversal-submit2/efsmGA/model/" + filepath + filename + '.txt', 'r') as f:
# line = f.readlines()
# for i in range(0, len(line)):
# if "Transition:" in line[i]:
# name = line[i + 1].split("name=")[1].replace('\r', '').replace('\n', '')
# src = line[i + 2].split("src=")[1].replace('\r', '').replace('\n', '')
# tgt = line[i + 3].split("tgt=")[1].replace('\r', '').replace('\n', '')
# event = None
# cond = None
# action = None
# # event = line[i + 4].strip().split(';')[0].replace('\r', '').replace('\n', '') #增加event信息
# # cond = line[i + 5].strip().replace('\r', '').replace('\n', '') #增加cond信息
# # action = line[i + 6].strip().replace('\r', '').replace('\n', '') #增加action信息
# i = i + 6
# fout.writelines(" " + src + " -> " + tgt + ' [ label="' + name + '"')
#
# if name in pathT:
# fout.writelines(',color = red')
#
# # if event != None:
# # fout.writelines('\n' + event)
# # if cond != None:
# # fout.writelines('\n' + cond)
# # if action != None:
# # fout.writelines('\n' + action)
# fout.writelines(' ];\n')
# fout.writelines("}\n")
# fout.close()
#
# os.popen(
# "dot -Tpng D:/graphTraversal-submit2/efsmGA/model/{}.dot -o D:/graphTraversal-submit2/efsmGA/model/{}.png".format(
# filename, filename))
# print 11111111111111111111111111111111111111111111
# print target.targetList[0]
if sequeueGenerate.sequencenumber == 0:
flag += 1
target.sort()
#print target.targetbranchlist
# print flag
# print 1111111111111111111111111111111
else:
global a
a = domanaiyzer.dealbeforeexecute()
# print pathT
# 测试数据生成
# pathT = ['T1','T9','target']
#SM = obtain_efsm_info2.obtain_efsm()
#data = generate_data_ga.testProcee(SM, pathT)
# SM=pathdate.obtain_efsm()
# data = SM.testGenforPath(pathT)
#print data
# 模拟点击
#SM = obtain_efsm_info2.obtain_efsm()
#seq_to_script.runcase(SM.TEvent, pathT, data) # 执行当前序列
# 模型补全
#domanaiyzer.fixmodel()
flag = 0
target.change()
# del target.targetList[0]
'''
while target.targetList and flag<=len(target.targetList):
pathT = sequeueGenerate.search()
time1 += sequeueGenerate.generationtime
count += sequeueGenerate.successnumber
number = sequeueGenerate.sequencenumber
time2 += sequeueGenerate.generationsorttime
length += sequeueGenerate.sequencelength
select += sequeueGenerate.selecenumber
print target.targetList
if number==0:
flag+=1
target.sort()
print target.targetList
else:
flag=0
target.change()
'''
#print "迭代次数为%s" % iteration
#print "%s个目标分支生成了序列" % count
#print "生成序列条数为%s" % number
#print "序列生成平均时间为%s" % (time1/count)
#print "优先级排序平均时间: %s" % (time2/count)
#print "平均序列长度:"
#print(format(length/count,'.2f'))
#print "平均选择次数:"
#print(format(select/count, '.2f'))
# print (pathT)
return pathT