df_y = pd.DataFrame(y_vals)
df_y.head()
for i, col in enumerate(df_y.columns):
+
tst_name = re.sub(REGEX_NIC, u"",
- col.lower().replace(u'-ndrpdr', u'').
- replace(u'2n1l-', u''))
+ col.lower().replace(u'-reconf', u'').
+ replace(u'2n1l-', u'').replace(u'2n-', u'').
+ replace(u'testpmd', u''))
- if u"ipsec" in tst_name:
- show_name = u'-'.join(tst_name.split(u'-')[2:-1])
- else:
- show_name = u'-'.join(tst_name.split(u'-')[3:-2])
traces.append(plgo.Box(
x=[str(i + 1) + u'.'] * len(df_y[col]),
y=df_y[col],
f"({nr_of_samples[i]:02d} "
f"run{u's' if nr_of_samples[i] > 1 else u''}, "
f"packets lost average: {mean(loss[col]):.1f}) "
- f"{show_name}"
+ f"{u'-'.join(tst_name.split(u'-')[2:])}"
),
hoverinfo=u"y+name"
))
builds:
- csit-vpp-perf-report-iterative-2009-3n-hsw:
- - 18 # rls2005 MRR iter env 5
- - 9 # rls2005 NDRPDR iter env 5
- - 10 # rls2005 NDRPDR iter env 5
- - 11 # rls2005 NDRPDR iter env 5
- - 12 # rls2005 NDRPDR iter env 5
- - 13 # rls2005 NDRPDR iter env 5
- - 14 # rls2005 NDRPDR iter env 5
- - 15 # rls2005 NDRPDR iter env 5
- - 16 # rls2005 NDRPDR iter env 5
- - 17 # rls2005 NDRPDR iter env 5
- - 19 # rls2005 NDRPDR iter env 5
- - 23 # rls2009 MRR iter env 5
- - 21 # rls2009 NDRPDR iter env 5
- - 22 # rls2009 NDRPDR iter env 5
- - 24 # rls2009 NDRPDR iter env 5
- - 25 # rls2009 NDRPDR iter env 5
- - 26 # rls2009 NDRPDR iter env 5
- - 27 # rls2009 NDRPDR iter env 5
- - 28 # rls2009 NDRPDR iter env 5
- - 29 # rls2009 NDRPDR iter env 5
- - 30 # rls2009 NDRPDR iter env 5
- - 31 # rls2009 NDRPDR iter env 5
+
csit-vpp-perf-report-iterative-2101-3n-hsw:
- 17 # rls2009 MRR iter env 6
- 19 # rls2009 NDRPDR iter env 6