blob: 14c2d4d2fde9c1b4ee61ddc33ff1b21104b0392f (
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
47
48
49
|
##############################################################################
# Copyright (c) 2017 ZTE Corporation and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
import json
def compute_index(total_measured, ref_result, count):
try:
average = float(total_measured / count)
except ZeroDivisionError:
average = 0
index = average / ref_result
return index
def get_reference(*args):
with open('scripts/ref_results/reference.json') as reference_file:
reference_djson = json.load(reference_file)
for arg in args:
ref_n = reference_djson.get(str(arg))
reference_djson = reference_djson.get(str(arg))
return ref_n
def generic_index(dict_gen, testcase, reference_num, *args):
c = len(args)
count = 0
total = 0
result = 0
for k, v in dict_gen.iteritems():
dict_temp = dict_gen[k]
if dict_gen[k]['name'] == '{0}.yaml'.format(testcase):
count = count + 1
for arg in args:
if arg == args[c - 1]:
try:
result = float(dict_temp.get(str(arg)))
except ValueError:
result = float(dict_temp.get(str(arg))[:-1]) * 1000
dict_temp = dict_temp.get(str(arg))
total = total + result
return compute_index(total, reference_num, count)
|