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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('data/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'] == str(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)
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