Datasets:
jblitzar
/
github-python-corpus

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ip=ip.split('M')[0]+u'[合并]'
port=key.split('_')[2]
pnum=len(L3node[key]['pl'])
if L3node[key]['pl'].count(L3node[key]['pl'][0])==pnum:
if pnum==1:
status=u'--'
else:
status=u'相等'
prange=str(L3node[key]['pl'][0])
else:
status=u'不等'
prange=str(min(L3node[key]['pl']))+'-'+str(max(L3node[key]['pl']))
SC=L3node[key]['canalysis']['quality']
#if port in var.protocol:
#SC=var.protocol[port]
#if nFilter.has_key(port):
#continue
if SC=="EP":
SC=u'报长特征'
elif SC=="NEP" or SC=="web":
SC=u'内容特征'
protocol_range=[]
for sub in L3node[key]['sub']:
protocol_range.append(sub[18])
protocol_range=list(set(protocol_range))
if len(protocol_range) == 1:
protocol_name = protocol_range[0]
#protocol_name = protocol_range[0]
else:
protocol_name='['+str(len(protocol_range))+']'
#print protocol_name
#print protocol_name.decode('utf-8').encode('gbk').decode('utf-8').encode('gbk')
#time_range=time.strftime("%Y/%m/%d %H:%M:%S",time.localtime(min(L3node[key]['time'])))+'-'+time.strftime("%Y/%m/%d %H:%M:%S",time.localtime(max(L3node[key]['time'])))
time_range=time.strftime("%H:%M:%S",time.localtime(min(L3node[key]['time'])))+'-'+time.strftime("%H:%M:%S",time.localtime(max(L3node[key]['time'])))
summary.append("<tbody class='control'><tr class='node'><td><div class='close'></div></td><td class='choose' ><input type='checkbox' id='"+key+"'></td><td>"+time_range+"</td><td class='fd'>")
try:
summary.append(attr+'</td><td>'+L3node[key]['rate']+'</td><td>'+str(len(L3node[key]['pl']))+'</td><td>'+status+'</td><td>'\
+prange+'</td><td>'+ip+'</td><td class="fd">'+port+'</td><td>'\
+SC+'</td><td>'+protocol_name+'</td><td><div class="csig" onmouseover=$(this).children("span.unshow").show() onmouseout=$(this).children("span.unshow").hide()>'\
+L3node[key]['canalysis']['showsig']+'</div></td><td><div class="bsig">'+L3node[key]['banalysis']['showsig']+'</div></td></tr></tbody>')
except Exception,e:
print Exception,":",e
#add sort：通过报长排序，期望获得子节点，解决节点下再区分
#加入tbody是为了快速显示与隐藏
summary.append("<tbody class='sub' style='display:none;'>")
#L3node[key]['sub'].sort(key=lambda x:x[10][0])
for sub in L3node[key]['sub']:
SC=sub[8]
if SC=='C':
SC=u'首报内容'
elif SC=='S':
SC=u'首报内容<br />会话特征'
summary.append("<tr class='session'><td><div class='wireshark' id='"+sub[15]+"' onclick=openPcap(this.id)></div></td><td class='choose_son'><input type='checkbox' id='")
summary.append(key+'-'+sub[6]+'-'+str(sub[7])+'-'+sub[14]+"'></td>")
'''
summary.append('<td>'+sub[0]+'</td><td>'+sub[1]+'</td><td>'+str(sub[2])+'</td><td>'+str(sub[3])+'</td><td>'+str(sub[4])+'</td><td>'\
+sub[6]+'</td><td>'+str(sub[7])+'</td><td>'+SC\
+'</td><td><div class="csig" onmouseover=$(this).children("span.unshow").show() onmouseout=$(this).children("span.unshow").hide()>'\
+sub[9]+'</div></td><td><div class="bsig">'+str(sub[10])+'</div></td></tr>')
'''
dlist=sub[15].split('_')
summary.append('<td>'+time.strftime("%Y/%m/%d %H:%M:%S",time.localtime(sub[16]))+':'+str(repr(sub[16]).split('.')[1])+'</td><td>'+sub[0]+'</td><td>'+sub[1]+'</td><td>'+str(sub[2])+'</td><td>'+str(sub[3])+'</td><td>'+str(sub[4])+'</td><td>'\
+(dlist[1]+'-'+dlist[3])+'</td><td>'+(dlist[2]+'-'+dlist[4])+'</td><td>'+SC\
+'</td><td>'+sub[18]+'</td><td><div class="csig" onmouseover=$(this).children("span.unshow").show() onmouseout=$(this).children("span.unshow").hide()>'\
+sub[9]+'</div></td><td><div class="bsig">'+str(sub[10])+'</div></td></tr>')
summary.append("</tbody>")
summary.append("</table><script language='JavaScript'>$('#filterName').keyup()</script>")
#print time.time()
#print summary
#pdb.set_trace()
return ''.join(summary)
if __name__=='__main__':
#pdb.set_trace()
usetime=100
pcapNum=100
#log=open('log.txt','w')
files=[r'D:\all.pcap',]
#node,totalflow,valid,invalid,error,L5node=finalNode(files,{},{})
profile.run("finalNode(files,{},{})")
#showNode(node,totalflow,valid,invalid,usetime,pcapNum,error,'fp','r')
#log.close()
# <FILESEP>
import argparse
import os
import onnx
from onnxsim import simplify
from rwkvkit.onnx_utils import set_onnx_input_shape
from rwkvkit.compress_model import SIZE_1MB, compress_onnx_model, uncompress_onnx_model
def simplify_large_onnx(args):
in_model_path = args.in_model_path
out_model_path = args.out_model_path
if not out_model_path: