File size: 1,068 Bytes
167f5d0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | import numpy as np
with open("record_sent.txt","r") as f:
sent = f.readlines()
with open("record_recv.txt","r") as f:
recv = f.readlines()
# sent[id] = time from first sent
sent = np.array([ float(item[5:14]) for item in sent ])
# recv[i][j] for each j
# j=0 -> 0 for online and 1 for offline
# j=1 -> start id
# j=2 -> end id
# j=3 -> time from first sent
recv = [[int(item[0]), int(item[2:6]), int(item[7:11]), float(item[12:21])] for item in recv]
online_time = []
offline_time = []
alltime = []
for item in recv:
proc_time = item[3] - sent[item[2]]
if item[0] == 1:
# offline
offline_time.append(proc_time)
else:
# online
online_time.append(proc_time)
alltime.append(proc_time)
print("online time avg: "+format(np.mean(online_time),'6.3f')+", std = "+format(np.std(online_time),'6.3f'))
print("offline time avg: "+format(np.mean(offline_time),'6.3f')+", std = "+format(np.std(offline_time),'6.3f'))
print("allline time avg: "+format(np.mean(alltime),'6.3f')+", std = "+format(np.std(alltime),'6.3f'))
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