blob: 4d7e0c85f0d11cea2409e54338aa0286ff082a85 (
plain)
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
36
37
38
39
40
41
42
43
44
45
46
|
#! /usr/bin/env python
from time import time
from curve25519 import Private
count = 10000
elapsed_get_public = 0.0
elapsed_get_shared = 0.0
def abbreviate_time(data):
# 1.23s, 790ms, 132us
if data is None:
return ""
s = float(data)
if s >= 10:
#return abbreviate.abbreviate_time(data)
return "%d" % s
if s >= 1.0:
return "%.2fs" % s
if s >= 0.01:
return "%dms" % (1000*s)
if s >= 0.001:
return "%.1fms" % (1000*s)
if s >= 0.000001:
return "%.1fus" % (1000000*s)
return "%dns" % (1000000000*s)
def nohash(key): return key
for i in range(count):
p = Private()
start = time()
pub = p.get_public()
elapsed_get_public += time() - start
pub2 = Private().get_public()
start = time()
shared = p.get_shared_key(pub2) #, hashfunc=nohash)
elapsed_get_shared += time() - start
print("get_public: %s" % abbreviate_time(elapsed_get_public / count))
print("get_shared: %s" % abbreviate_time(elapsed_get_shared / count))
# these take about 560us-570us each (with the default compiler settings, -Os)
# on my laptop, same with -O2
# of which the python overhead is about 5us
# and the get_shared_key() hash step adds about 5us
|
