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@ -33,6 +33,7 @@ import json |
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import bm_json |
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import bm_json |
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import tabulate |
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import tabulate |
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import argparse |
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import argparse |
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import scipy |
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def changed_ratio(n, o): |
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def changed_ratio(n, o): |
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if float(o) <= .0001: o = 0 |
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if float(o) <= .0001: o = 0 |
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@ -44,15 +45,28 @@ def changed_ratio(n, o): |
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def min_change(pct): |
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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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return lambda n, o: abs(changed_ratio(n,o)) > pct/100.0 |
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_INTERESTING = { |
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_INTERESTING = [ |
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'cpu_time': min_change(10), |
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'cpu_time', |
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'real_time': min_change(10), |
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'real_time', |
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'locks_per_iteration': min_change(5), |
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'locks_per_iteration', |
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'allocs_per_iteration': min_change(5), |
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'allocs_per_iteration', |
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'writes_per_iteration': min_change(5), |
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'writes_per_iteration', |
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'atm_cas_per_iteration': min_change(1), |
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'atm_cas_per_iteration', |
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'atm_add_per_iteration': min_change(5), |
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'atm_add_per_iteration', |
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} |
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] |
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_AVAILABLE_BENCHMARK_TESTS = ['bm_fullstack_unary_ping_pong', |
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'bm_fullstack_streaming_ping_pong', |
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'bm_fullstack_streaming_pump', |
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'bm_closure', |
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'bm_cq', |
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'bm_call_create', |
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'bm_error', |
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'bm_chttp2_hpack', |
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'bm_chttp2_transport', |
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'bm_pollset', |
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'bm_metadata', |
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'bm_fullstack_trickle'] |
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argp = argparse.ArgumentParser(description='Perform diff on microbenchmarks') |
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argp = argparse.ArgumentParser(description='Perform diff on microbenchmarks') |
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argp.add_argument('-t', '--track', |
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argp.add_argument('-t', '--track', |
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@ -60,59 +74,104 @@ argp.add_argument('-t', '--track', |
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nargs='+', |
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nargs='+', |
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default=sorted(_INTERESTING.keys()), |
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default=sorted(_INTERESTING.keys()), |
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help='Which metrics to track') |
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help='Which metrics to track') |
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argp.add_argument('files', metavar='bm_file.json', type=str, nargs=4, |
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argp.add_argument('-b', '--benchmarks', nargs='+', choices=_AVAILABLE_BENCHMARK_TESTS, default=['bm_error']) |
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help='files to diff. ') |
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argp.add_argument('-d', '--diff_base', type=str) |
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argp.add_argument('-r', '--repetitions', type=int, default=5) |
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argp.add_argument('-p', '--p_threshold', type=float, default=0.05) |
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args = argp.parse_args() |
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args = argp.parse_args() |
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with open(args.files[0]) as f: |
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assert args.diff_base |
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js_new_ctr = json.loads(f.read()) |
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with open(args.files[1]) as f: |
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def collect1(bm, cfg, ver): |
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js_new_opt = json.loads(f.read()) |
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subprocess.check_call(['make', 'clean']) |
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with open(args.files[2]) as f: |
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subprocess.check_call( |
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js_old_ctr = json.loads(f.read()) |
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['make', bm_name, |
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with open(args.files[3]) as f: |
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'CONFIG=%s' % cfg, '-j', '%d' % multiprocessing.cpu_count()]) |
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js_old_opt = json.loads(f.read()) |
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cmd = ['bins/%s/%s' % (cfg, bm), |
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'--benchmark_out=%s.%s.%s.json' % (bm, cfg, ver), |
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new = {} |
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'--benchmark_out_format=json', |
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old = {} |
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'--benchmark_repetitions=%d' % (args.repetitions) |
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] |
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for row in bm_json.expand_json(js_new_ctr, js_new_opt): |
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subprocess.check_call(cmd) |
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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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for bm in args.benchmarks: |
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old[row['cpp_name']] = row |
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collect1(bm, 'opt', 'new') |
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collect1(bm, 'counters', 'new') |
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changed = [] |
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for fld in args.track: |
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git_comment = 'Performance differences between this PR and %s\\n' % args.diff_perf |
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chk = _INTERESTING[fld] |
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for bm in new.keys(): |
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where_am_i = subprocess.check_output(['git', 'rev-parse', '--abbrev-ref', 'HEAD']).strip() |
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if bm not in old: continue |
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subprocess.check_call(['git', 'checkout', args.diff_base]) |
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n = new[bm] |
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o = old[bm] |
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try: |
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if fld not in n or fld not in o: continue |
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comparables = [] |
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if chk(n[fld], o[fld]): |
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for bm in args.benchmarks: |
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changed.append((fld, chk)) |
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try: |
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break |
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collect1(bm, 'opt', 'old') |
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collect1(bm, 'counters', 'old') |
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headers = ['Benchmark'] + [c[0] for c in changed] + ['Details'] |
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comparables.append(bm_name) |
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except subprocess.CalledProcessError, e: |
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pass |
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finally: |
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subprocess.check_call(['git', 'checkout', where_am_i]) |
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class Benchmark: |
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def __init__(self): |
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self.samples = { |
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True: collections.defaultdict(list), |
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False: collections.defaultdict(list) |
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} |
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self.final = {} |
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def add_sample(self, data, new): |
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for f in _INTERESTING: |
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if f in data: |
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self.samples[new][f].append(data[f]) |
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def process(self): |
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for f in _INTERESTING: |
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new = self.samples[True][f] |
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old = self.samples[False][f] |
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if not new or not old: continue |
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p = scipy.stats.ttest_ind(new, old) |
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if p < args.p_threshold: |
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self.final[f] = avg(new) - avg(old) |
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return self.final.keys() |
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def row(self, flds): |
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return [self.final[f] if f in self.final else '' for f in flds] |
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benchmarks = collections.defaultdict(Benchmark) |
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for bm in comparables: |
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with open('%s.counters.new.json' % bm) as f: |
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js_new_ctr = json.loads(f.read()) |
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with open('%s.opt.new.json' % bm) as f: |
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js_new_opt = json.loads(f.read()) |
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with open('%s.counters.old.json' % bm) as f: |
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js_old_ctr = json.loads(f.read()) |
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with open('%s.opt.old.json' % bm) as f: |
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js_old_opt = json.loads(f.read()) |
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for row in bm_json.expand_json(js_new_ctr, js_new_opt): |
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name = row['cpp_name'] |
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if name.endswith('_mean') or nme.endswith('_stddev'): continue |
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benchmarks[name].add_sample(row, True) |
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for row in bm_json.expand_json(js_old_ctr, js_old_opt): |
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name = row['cpp_name'] |
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if name.endswith('_mean') or nme.endswith('_stddev'): continue |
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benchmarks[name].add_sample(row, False) |
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really_interesting = set() |
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for bm in benchmarks: |
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really_interesting.update(bm.process()) |
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fields = [f for f in _INTERESTING if f in really_interesting] |
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headers = ['Benchmark'] + fields |
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rows = [] |
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rows = [] |
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for bm in sorted(new.keys()): |
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for name in sorted(benchmarks.keys()): |
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if bm not in old: continue |
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rows.append([name] + benchmarks[name].row(fields)) |
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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 in args.track: |
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chk = _INTERESTING[fld] |
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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, float(o[fld]), float(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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print tabulate.tabulate(rows, headers=headers, floatfmt='+.2f') |
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