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PPF_DFS.py
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import sys
import time
import resource
import math
import os
import psutil
import resource
path=sys.argv[1]
output=sys.argv[2]
minsup=float(sys.argv[3])
maxperiod=float(sys.argv[4])
minpr = float(sys.argv[5])
tidlist={}
hashing={}
first = 99999
last = 0
lno=0
def getPer_Sup(tids):
#print(lno)
global first, last, lno
tids = list(set(tids))
tids.sort()
per=0
sup=0
cur=0
if len(tids)==0:
return 0
if abs(first-tids[0])<= maxperiod:
sup+=1
for j in range(len(tids)-1):
i=j+1
per=abs(tids[i]-tids[j])
if(per<=maxperiod):
sup+=1
cur=tids[j]
if abs(last-tids[len(tids)-1])<=maxperiod:
sup+=1
if sup==0:
return 0
return sup/(len(tids)+1)
def getPerSup(tids):
#print(lno)
global first, last,lno
tids=list(set(tids))
tids.sort()
per=0
sup=0
cur=0
if len(tids)==0:
return 0
if abs(first-tids[0]) <= maxperiod:
sup+=1
for j in range(len(tids)-1):
i=j+1
per=abs(tids[i]-tids[j])
if(per<=maxperiod):
sup+=1
if abs(tids[len(tids)-1]-last) <=maxperiod:
sup+=1
if sup==0:
return 0
return sup
class Eclat_pfp():
def __init__(self):
self.mapSupport={}
self.hashing={}
self.itemsetCount=0
self.writer=None
self.minSup=0
def findDelimiter(self, line):
"""Identifying the delimiter of the input file
:param line: list of special characters may be used by a user to split the items in a input file
:type line: list of string
:returns: Delimited string used in the input file to split each item
:rtype: string
"""
l = [',', '*', '&', ' ', '%', '$', '#', '@', '!', ' ', '*', '(', ')']
j = None
for i in l:
if i in line:
return i
return j
def scanDatabase(self,path):
global lno,tidlist,maxperiod, minsup, first, last, minpr
id1=0
with open(path,'r') as f:
for line in f:
lno+=1
#first=min(first,lno)
#last=max(last,lno)
line = line.strip()
delimiter = self.findDelimiter([*line])
s = [i.rstrip() for i in line.split(delimiter)]
n=int(s[0])
first = min(first, n)
last = max(last, n)
for i in range(1,len(s)):
si=s[i]
if abs(first-n)<=maxperiod:
if si not in self.mapSupport:
self.mapSupport[si]=[1,1,n]
tidlist[si]=[n]
else:
lp=abs(n-self.mapSupport[si][2])
if lp<=maxperiod:
self.mapSupport[si][0]+=1
self.mapSupport[si][1]+=1
self.mapSupport[si][2]=n
tidlist[si].append(n)
else:
if si not in self.mapSupport:
self.mapSupport[si]=[0,1,n]
tidlist[si]=[n]
else:
lp=abs(n-self.mapSupport[si][2])
if lp<=maxperiod:
self.mapSupport[si][0]+=1
self.mapSupport[si][1]+=1
self.mapSupport[si][2]=n
tidlist[si].append(n)
for x,y in self.mapSupport.items():
lp=abs(last-self.mapSupport[x][2])
if lp<=maxperiod:
self.mapSupport[x][0]+=1
print(minsup,maxperiod, minpr)
self.mapSupport={k: [v[1],v[0]] for k,v in self.mapSupport.items() if v[1]>=minsup and v[0]/(minsup+1)>=minpr}
plist=[key for key,value in sorted(self.mapSupport.items(), key=lambda x:(x[1][0],x[0]),reverse=True)]
return plist
def save(self,prefix,suffix,tidsetx):
global minsup,maxperiod,minpr
tidsetx=list(set(tidsetx))
if(prefix==None):
prefix=suffix
else:
prefix=prefix+suffix
val = getPerSup(tidsetx)
val1= getPer_Sup(tidsetx)
#print(prefix,tidsetx,val,val1)
if len(tidsetx)>=minsup and val/(len(tidsetx)+1)>=minpr:
self.itemsetCount+=1
s1=str(prefix)+":"+str(len(tidsetx))+":"+str(val1)
self.writer.write('%s \n'%s1)
def Generation(self,prefix,itemsets,tidsets):
global minpr,minsup
if(len(itemsets)==1):
i=itemsets[0]
tidi=tidsets[0]
self.save(prefix,[i],tidi)
return
for i in range(len(itemsets)):
itemx=itemsets[i]
if(itemx==None):
continue
tidsetx=tidsets[i]
classItemsets=[]
classtidsets=[]
itemsetx=[itemx]
for j in range(i+1,len(itemsets)):
itemj=itemsets[j]
tidsetj=tidsets[j]
y=list(set(tidsetx) & set(tidsetj))
val=getPerSup(y)
#if(len(y)>=minsup and val/(len(y)+1)>=minpr):
if len(y) >= minsup and val / (minsup+1) >= minpr:
classItemsets.append(itemj)
classtidsets.append(y)
newprefix=list(set(itemsetx))+prefix
self.Generation(newprefix, classItemsets,classtidsets)
self.save(prefix,list(set(itemsetx)),tidsetx)
def runAlgorithm(self,path,output,minsup,maxperiod,minpr):
self.writer=open(output,'w')
starttime=time.time()
plist=self.scanDatabase(path)
print(len(plist))
for i in range(len(plist)):
itemx=plist[i]
tidsetx=tidlist[itemx]
itemsetx=[itemx]
itemsets=[]
tidsets=[]
for j in range(i+1,len(plist)):
itemj=plist[j]
tidsetj=tidlist[itemj]
y1=list(set(tidsetx) & set(tidsetj))
val=getPerSup(y1)
#if(len(y1)>=minsup and val/(len(y1)+1)>=minpr):
if len(y1) >= minsup and val/(minsup+1)>=minpr:
itemsets.append(itemj)
tidsets.append(y1)
self.Generation(itemsetx,itemsets,tidsets)
self.save(None,itemsetx,tidsetx)
#print("eclat Total Itemsets:",self.itemsetCount)
endtime=time.time()
temp=(endtime-starttime)
#print("eclat Time taken:",temp)
#print("eclat Memory Space:",resource.getrusage(resource.RUSAGE_SELF).ru_maxrss)
writer = open('resultEclat.csv', 'a')
s = 'Patterns:' + str(self.itemsetCount) + '\n'
writer.write(s)
s = 'Time:' + str(temp) + '\n'
writer.write(s)
memory = resource.getrusage((resource.RUSAGE_SELF))
s = 'Memory:' + str(memory.ru_maxrss) + '\n'
writer.write(s)
'''process = psutil.Process(os.getpid())
memory = process.memory_full_info().uss # process.memory_info().rss
memory_in_MB = memory / (1024 * 1024)
#return memory_in_MB
print("Memory Space",memory_in_MB) '''
ch=Eclat_pfp()
ch.runAlgorithm(path,output,minsup,maxperiod,minpr)