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Covert regression test to python 3

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Approved by:	cperciva
MFC after:	3 days
This commit is contained in:
Eitan Adler 2012-10-22 02:29:44 +00:00
parent 747d299f0a
commit 1f35187f99
1 changed files with 7 additions and 7 deletions
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14
tools/regression/netinet/ip_id_period/ip_id_period.py
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@ -51,26 +51,26 @@ id_minperiod = {}
count = 0
for line in open('results.txt').readlines():
id = int(line.split(' id ')[1].split(',')[0])
if id_lastseen.has_key(id):
if id in id_lastseen:
period = count - id_lastseen[id]
if not id_minperiod.has_key(id) or period < id_minperiod[id]:
if id not in id_minperiod or period < id_minperiod[id]:
id_minperiod[id] = period
id_lastseen[id] = count
count += 1
sorted_minperiod = zip(*reversed(zip(*id_minperiod.items())))
sorted_minperiod = list(zip(*reversed(list(zip(*list(id_minperiod.items()))))))
sorted_minperiod.sort()
print "Lowest 10 ID periods detected:"
print("Lowest 10 ID periods detected:")
x = 0
while x < 10:
id_tuple = sorted_minperiod.pop(0)
print "id: %d period: %d" % (id_tuple[1], id_tuple[0])
print("id: %d period: %d" % (id_tuple[1], id_tuple[0]))
x += 1
print "Highest 10 ID periods detected:"
print("Highest 10 ID periods detected:")
x = 0
while x < 10:
id_tuple = sorted_minperiod.pop()
print "id: %d period: %d" % (id_tuple[1], id_tuple[0])
print("id: %d period: %d" % (id_tuple[1], id_tuple[0]))
x += 1