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