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
47
48
49
50
51
52
53
54
55
56
57
58
59
|
#!/usr/bin/env python2.7
#
# Copyright 2017 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from scipy import stats
import math
_THRESHOLD = 1e-10
def scale(a, mul):
return [x * mul for x in a]
def cmp(a, b):
return stats.ttest_ind(a, b)
def speedup(new, old):
if (len(set(new))) == 1 and new == old: return 0
s0, p0 = cmp(new, old)
if math.isnan(p0): return 0
if s0 == 0: return 0
if p0 > _THRESHOLD: return 0
if s0 < 0:
pct = 1
while pct < 101:
sp, pp = cmp(new, scale(old, 1 - pct / 100.0))
if sp > 0: break
if pp > _THRESHOLD: break
pct += 1
return -(pct - 1)
else:
pct = 1
while pct < 100000:
sp, pp = cmp(new, scale(old, 1 + pct / 100.0))
if sp < 0: break
if pp > _THRESHOLD: break
pct += 1
return pct - 1
if __name__ == "__main__":
new = [1.0, 1.0, 1.0, 1.0]
old = [2.0, 2.0, 2.0, 2.0]
print speedup(new, old)
print speedup(old, new)
|
