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Copy pathevaluation.py
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167 lines (138 loc) · 5.61 KB
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import pandas as pd
import numpy as np
from tqdm import tqdm
def evaluate(Qr,Qs,race_set):
print('Evaluating')
Q=pd.concat([Qs[0],Qr[0]]).sort_index()
V=Qr[0].Port.unique()
T=np.sort(Q.Thread.unique())
V_total_number=len(V)
T_total_number=len(T)
race_num=RACE(race_set)
svqr=SVQR(Qr,Qs)
def_use=Def_Use(Qr,Qs)
plnv=Plnv(Qr,Qs)
return {'SYN':len(Qr[0]),'Task':T_total_number,'TestCase':len(Qr),'Buffer':V_total_number,'SVAR':div(svqr),'Def-Use':div(def_use),'Plnv':div(plnv),'Race':race_num}
def factorial(n):
sum=1
for i in range(1,n+1):
sum*=i
return sum
def combination(n,k):
return int(factorial(n)/(factorial(n-k)*factorial(k)))
def RACE(race_set):
sum=0
for key in race_set.keys():
sum+=len(race_set[key])
return sum
def SVQR(Qr,Qs):
#総数の計算
Q=pd.concat([Qs[0],Qr[0]]).sort_index()
V=Qr[0].Port.unique()
T=Q.Thread.unique()
V_total_number=len(V)
T_total_number=len(T)
total_number=0
for l in range(V_total_number):
for i in range(0,T_total_number-1):
for j in range(i+1,T_total_number):
k=len(Q[(Q.Thread==T[i]) &(Q.Port==V[l])])
n=k+len(Q[(Q.Thread==T[j]) &(Q.Port==V[l])])
total_number+=combination(n,k)
#数値計算
value=0
for l in range(V_total_number):
for i in range(0,T_total_number-1):
for j in range(i+1,T_total_number):
log=pd.DataFrame({})
for loop in range(len(Qr)):
Q=pd.concat([Qs[loop],Qr[loop]]).sort_index()
array=Q[((Q.Thread==T[i]) & (Q.Port==V[l])) | ((Q.Thread==T[j]) &(Q.Port==V[l]))].Thread
array=array.reset_index()
log=log.append(array.Thread,ignore_index=True)
try:
log=log[~log.duplicated()]
except:
pass
value+=len(log)
return {'total_number':total_number,'number':value}
def Def_Use(Qr,Qs):
Q=pd.concat([Qs[0],Qr[0]]).sort_index()
V=Qr[0].Port.unique()
T=np.sort(Q.Thread.unique())
V_total_number=len(V)
T_total_number=len(T)
total_number=len(Qr[0]) #Nr
for l in range(V_total_number):
for i in range(0,T_total_number-1):
for j in range(i+1,T_total_number):
Nr=len(Qr[0][(Qr[0].Thread==T[i]) & (Qr[0].Port==V[l])])
Ns=len(Qs[0][(Qs[0].Thread==T[j]) & (Qs[0].Port==V[l])])
sum=(Nr*Ns)
total_number+=sum
Nr=len(Qr[0][(Qr[0].Thread==T[j]) & (Qr[0].Port==V[l])])
Ns=len(Qs[0][(Qs[0].Thread==T[i]) & (Qs[0].Port==V[l])])
sum=(Nr*Ns)
total_number+=sum
value=0
for l in range(V_total_number):
for i in range(0,T_total_number):
for recv in range(2):
log=pd.DataFrame({})
for loop in range(len(Qr)):
array=pd.Series([],name=len(log))
Qr_event=Qr[loop][(Qr[loop].Thread==T[i]) & (Qr[loop].Port==V[l])]
Qr[loop]['KEY']=Qr[loop]['Thread']+'-'+Qr[loop]['Index'].astype(str)
Qs[loop]['KEY']=Qs[loop]['Thread']+'-'+Qs[loop]['Index'].astype(str)
for k in range(len(Qr_event)):
array[k]=Qs[loop].iloc[Qr_event.iloc[k].name].KEY
if array.any():
log=log.append(array,ignore_index=True)
else:
pass
log=log[~log.duplicated()]
value+=len(log)
return {'total_number':total_number,'number':value}
def Plnv(Qr,Qs):
Q=[]
for i in range(len(Qr)):
Q.append(pd.DataFrame({})) #新しいテーブルを作成
Q[i]=pd.concat([Qs[i],Qr[i]]).sort_index()
Q[i]=Q[i].reset_index(drop=True)
V=Qr[0].Port.unique()
T=Q[0].Thread.unique()
V_total_number=len(V)
T_total_number=len(T)
total_number=0
for l in range(V_total_number):
for i in range(0,T_total_number):
PNi=len(Q[0][(Q[0].Thread==T[i]) & (Q[0].Port==V[l])])-1
if PNi<=0:
continue
else:
Nj=len(Q[0][(Q[0].Thread!=T[i]) & (Q[0].Port==V[l])])
total_number+=PNi*Nj+PNi
value=0
for l in range(V_total_number):
for i in range(0,T_total_number):
df=Q[0][(Q[0].Thread==T[i]) & (Q[0].Port==V[l])]
if len(df)<=1:
continue
else:
for j in range(len(df)-1):
array=[]
for loop in range(len(Qr)):
Qr[loop]['KEY']=Qr[loop]['Thread']+'-'+Qr[loop]['Index'].astype(str)
Qs[loop]['KEY']=Qs[loop]['Thread']+'-'+Qs[loop]['Index'].astype(str)
df=Q[loop][(Q[loop].Thread==T[i]) & (Q[loop].Port==V[l])]
temp=Q[loop][df.iloc[j].name+1:df.iloc[j+1].name]
temp=temp[temp.Port==V[l]]
if len(temp)==0:
array.append(0)
for k in range(len(temp)):
array.append(temp.iloc[k].KEY)
array=list(set(array))
value+=len(array)
return {'total_number':total_number,'number':value}
def div(dic):
return dic['number']/dic['total_number']