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#!/usr/bin/env python2.7
# Copyright 2017, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following disclaimer
# in the documentation and/or other materials provided with the
# distribution.
# * Neither the name of Google Inc. nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import sys
import json
import bm_json
import tabulate
with open(sys.argv[1]) as f:
js_new_ctr = json.loads(f.read())
with open(sys.argv[2]) as f:
js_new_opt = json.loads(f.read())
with open(sys.argv[3]) as f:
js_old_ctr = json.loads(f.read())
with open(sys.argv[4]) as f:
js_old_opt = json.loads(f.read())
new = {}
old = {}
for row in bm_json.expand_json(js_new_ctr, js_new_opt):
new[row['cpp_name']] = row
for row in bm_json.expand_json(js_old_ctr, js_old_opt):
old[row['cpp_name']] = row
def changed_ratio(n, o):
return float(n-o)/float(o)
def min_change(pct):
return lambda n, o: abs(changed_ratio(n,o)) > pct/100.0
_INTERESTING = (
('cpu_time', min_change(10)),
('real_time', min_change(10)),
('locks_per_iteration', min_change(5)),
('allocs_per_iteration', min_change(5)),
('writes_per_iteration', min_change(5)),
('atm_cas_per_iteration', min_change(1)),
('atm_add_per_iteration', min_change(5)),
)
changed = []
for fld, chk in _INTERESTING:
for bm in new.keys():
if bm not in old: continue
n = new[bm]
o = old[bm]
if fld not in n or fld not in o: continue
if chk(n[fld], o[fld]):
changed.append((fld, chk))
break
headers = ['Benchmark'] + [c[0] for c in changed] + ['Details']
rows = []
for bm in sorted(new.keys()):
if bm not in old: continue
row = [bm]
any_changed = False
n = new[bm]
o = old[bm]
details = ''
for fld, chk in _INTERESTING:
if fld not in n or fld not in o: continue
if chk(n[fld], o[fld]):
row.append(changed_ratio(n[fld], o[fld]))
if details: details += ', '
details += '%s:%r-->%r' % (fld, o[fld], n[fld])
any_changed = True
else:
row.append('')
if any_changed:
row.append(details)
rows.append(row)
print tabulate.tabulate(rows, headers=headers, floatfmt='+.2f')
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