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generateEdgeBaseline.py
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generateEdgeBaseline.py
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import pandas as pd
import time
cons = ["100", "133", "150", "166", "175", "200"]
freqs = [5,10,15,20,25,30]
a1 = 'twitter'
a2 = 'labels200'
a3 = 'edges200'
def generate(ofile, querySize = -1, queryType = -1, bin_start = 0, bin_end = 20):
ofile = ofile.head(bin_end).tail(bin_end-bin_start).reset_index(drop = True)
if (querySize == -1):
querySize = (np.random.randint(4)+1)*2
if (queryType == -1):
queryType = (np.random.randint(3)+2)
st = []
prev = -1
bin_end = min(bin_end, len(ofile.index))
if (queryType != 2):
k = 2
else:
k = querySize
for _ in range(querySize):
j = np.random.choice(bin_end - bin_start, min(k,bin_end - bin_start), replace=False, p=ofile[1]/ofile[1].sum())
if (queryType == 2):
for l in j:
st.append(ofile[0][l])
break
if ofile[0][j[0]] == prev:
prev = ofile[0][j[1]]
else:
prev = ofile[0][j[0]]
st.append(prev)
st = list(st)
if (queryType == 2):
return('('+'U'.join(map(str,st))+')+')
if (queryType == 4):
return('(('+')+).(('.join(map(str,st))+')+)')
if (queryType == 3):
return('('+'.'.join(map(str,st))+')+')
ls = pd.read_csv('../'+a1+'/subgraphs/'+a2+'.txt', delimiter= ' ', header = None)
ls.index = ls[0]
labels = {}
edgeFile = open('../'+a1+'/subgraphs/'+a3+'.txt', 'r')
lines = edgeFile.readline()
j = 0
while lines:
j += 1
if j%1000 == 0:
print (j, lines)
try:
a = list(ls[1][int(lines.split()[0])])
except:
a = [ls[1][int(lines.split()[0])]]
for i in a:
try:
labels[i] += 1
except:
labels[i] = 1
lines = edgeFile.readline()
a = pd.DataFrame(labels,index = [0])
a = a.transpose().sort_values(by = 0, ascending = False).head(30)
a.reset_index(inplace =True)
a.rename(columns = {"index": 0, 0:1},inplace = True)
labelfreqs = list(a.index)
for i in cons:
for inp2 in [30]:
print((i, inp2))
oFile = open('../twitter/subgraphs/labels'+i+'_'+str(inp2)+'.txt','w')
iFile = open('../twitter/subgraphs/labels'+i+'.txt','r')
line = iFile.readline()
while line:
if int(line.split()[1]) in b:
oFile.write(line)
line = iFile.readline()
oFile.close()
for inp in ["200"]:
for inp2 in freqs:
print((inp, inp2))
oFile = open('../twitter/subgraphs/labels'+inp+'_'+str(inp2)+'.txt','w')
iFile = open('../twitter/subgraphs/labels'+inp+'.txt','r')
line = iFile.readline()
while line:
if int(line.split()[1]) in b[:inp2]:
oFile.write(line)
line = iFile.readline()
oFile.close()
nodes = pd.read_csv("../twitter/subgraphs/labels100.txt", delimiter = ' ', header=None)
for inp in ["100_30", "133_30", "150_30", "166_30","175_30", "200_30", "200_25", "200_20", "200_15", "200_10", "200_5"]:
input3 = ['mix']
k = int(inp.split('_')[1])
b = a.head(k)
for inp2 in input3:
oFile = open('../twitter/subgraphs/query'+str(inp)+'.txt','w')
if inp2 == 'mix':
inp2 = -1
for i in range(10000):
y = nodes[0][np.random.randint(len(nodes.index))]
x = nodes[0][np.random.randint(len(nodes.index))]
oFile.write('query ' + str(x) +' ' + str(y) + ' ' +generate(b, queryType=inp2)+"\n")
oFile.close()
for inp in cons:
for inp2 in [30]:
print((inp, inp2))
labels = pd.read_csv("../twitter/subgraphs/labels"+ inp +".txt", delimiter=" ", header= None,index_col=0)
ifile = open("../twitter/subgraphs/edges"+inp+".txt", 'r')
ofile = open("../twitter/subgraphs/label"+str(inp2)+"edges"+inp+".txt", 'w')
i = ifile.readline()
while i:
try:
q = list(labels.loc[int(i.split()[0])][1])
for j in q:
if j in labelfreqs[:inp2]:
ofile.write(i.split()[0]+' '+i.split()[1]+' '+str(int(j))+'\n')
except:
try:
q = int(labels.loc[int(i.split()[0])][1])
if q in labelfreqs[:inp2]:
ofile.write(i.split()[0]+' '+i.split()[1]+' '+str(q)+'\n')
except:
pass
i= ifile.readline()
ofile.close()
for inp in ["200"]:
for inp2 in freqs:
print((inp, inp2))
labels = pd.read_csv("../twitter/subgraphs/labels"+ inp +".txt", delimiter=" ", header= None,index_col=0)
ifile = open("../twitter/subgraphs/edges"+inp+".txt", 'r')
ofile = open("../twitter/subgraphs/label"+str(inp2)+"edges"+inp+".txt", 'w')
i = ifile.readline()
while i:
try:
q = list(labels.loc[int(i.split()[0])][1])
for j in q:
if j in labelfreqs[:inp2]:
ofile.write(i.split()[0]+' '+i.split()[1]+' '+str(int(j))+'\n')
except:
try:
q = int(labels.loc[int(i.split()[0])][1])
if q in labelfreqs[:inp2]:
ofile.write(i.split()[0]+' '+i.split()[1]+' '+str(q)+'\n')
except:
pass
i= ifile.readline()
ofile.close()