2 from subprocess
import call
8 df
['nsecperiter']=(df
['duration']*1000)/(df
['nbiter'])
9 stdev
= pd
.DataFrame({'perevent_stdev' :
10 df
.groupby(['nbthreads', 'tracer', 'testcase','sleeptime'])['nsecperiter'].std()}).reset_index()
11 mean
= pd
.DataFrame({'perevent_mean' :
12 df
.groupby(['nbthreads', 'tracer', 'testcase','sleeptime'])['nsecperiter'].mean()}).reset_index()
13 mem_mean
= pd
.DataFrame({'mem_mean' :
14 df
.groupby(['nbthreads','tracer','testcase','sleeptime'])['maxmem'].mean()}).reset_index()
15 mem_stdev
= pd
.DataFrame({'mem_stdev' :
16 df
.groupby(['nbthreads','tracer','testcase','sleeptime'])['maxmem'].std()}).reset_index()
17 tmp
= mean
.merge(stdev
)
18 tmp
= tmp
.merge(mem_mean
)
19 tmp
= tmp
.merge(mem_stdev
)
22 for i
, row
in tmp
.iterrows():
23 testcase_name
='_'.join([row
['tracer'],str(row
['nbthreads'])+'thr', 'pereventmean'])
24 yield( {"name": testcase_name
, "result": "pass", "units": "nsec/event",
25 "measurement": str(row
['perevent_mean'])})
27 testcase_name
='_'.join([row
['tracer'],str(row
['nbthreads'])+'thr', 'pereventstdev'])
28 yield( {"name": testcase_name
, "result": "pass", "units": "nsec/event",
29 "measurement": str(row
['perevent_stdev'])})
31 testcase_name
='_'.join([row
['tracer'],str(row
['nbthreads'])+'thr', 'memmean'])
32 yield( {"name": testcase_name
, "result": "pass", "units": "kB",
33 "measurement": str(row
['mem_mean'])})
35 testcase_name
='_'.join([row
['tracer'],str(row
['nbthreads'])+'thr', 'memstdev'])
36 yield( {"name": testcase_name
, "result": "pass", "units": "kB",
37 "measurement": str(row
['mem_stdev'])})
41 results_file
=sys
.argv
[1]
42 df
= pd
.read_csv(results_file
)
48 '--result', res
['result'],
49 '--measurement', res
['measurement'],
50 '--units', res
['units']])
52 if __name__
== '__main__':
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