Merge tag 'seabios-20211203-pull-request' of git://git.kraxel.org/qemu into staging
[qemu.git] / scripts / simplebench / results_to_text.py
1 #!/usr/bin/env python3
2 #
3 # Simple benchmarking framework
4 #
5 # Copyright (c) 2019 Virtuozzo International GmbH.
6 #
7 # This program is free software; you can redistribute it and/or modify
8 # it under the terms of the GNU General Public License as published by
9 # the Free Software Foundation; either version 2 of the License, or
10 # (at your option) any later version.
11 #
12 # This program is distributed in the hope that it will be useful,
13 # but WITHOUT ANY WARRANTY; without even the implied warranty of
14 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 # GNU General Public License for more details.
16 #
17 # You should have received a copy of the GNU General Public License
18 # along with this program. If not, see <http://www.gnu.org/licenses/>.
19 #
20
21 import math
22 import tabulate
23
24 # We want leading whitespace for difference row cells (see below)
25 tabulate.PRESERVE_WHITESPACE = True
26
27
28 def format_value(x, stdev):
29 stdev_pr = stdev / x * 100
30 if stdev_pr < 1.5:
31 # don't care too much
32 return f'{x:.2g}'
33 else:
34 return f'{x:.2g} ± {math.ceil(stdev_pr)}%'
35
36
37 def result_to_text(result):
38 """Return text representation of bench_one() returned dict."""
39 if 'average' in result:
40 s = format_value(result['average'], result['stdev'])
41 if 'n-failed' in result:
42 s += '\n({} failed)'.format(result['n-failed'])
43 return s
44 else:
45 return 'FAILED'
46
47
48 def results_dimension(results):
49 dim = None
50 for case in results['cases']:
51 for env in results['envs']:
52 res = results['tab'][case['id']][env['id']]
53 if dim is None:
54 dim = res['dimension']
55 else:
56 assert dim == res['dimension']
57
58 assert dim in ('iops', 'seconds')
59
60 return dim
61
62
63 def results_to_text(results):
64 """Return text representation of bench() returned dict."""
65 n_columns = len(results['envs'])
66 named_columns = n_columns > 2
67 dim = results_dimension(results)
68 tab = []
69
70 if named_columns:
71 # Environment columns are named A, B, ...
72 tab.append([''] + [chr(ord('A') + i) for i in range(n_columns)])
73
74 tab.append([''] + [c['id'] for c in results['envs']])
75
76 for case in results['cases']:
77 row = [case['id']]
78 case_results = results['tab'][case['id']]
79 for env in results['envs']:
80 res = case_results[env['id']]
81 row.append(result_to_text(res))
82 tab.append(row)
83
84 # Add row of difference between columns. For each column starting from
85 # B we calculate difference with all previous columns.
86 row = ['', ''] # case name and first column
87 for i in range(1, n_columns):
88 cell = ''
89 env = results['envs'][i]
90 res = case_results[env['id']]
91
92 if 'average' not in res:
93 # Failed result
94 row.append(cell)
95 continue
96
97 for j in range(0, i):
98 env_j = results['envs'][j]
99 res_j = case_results[env_j['id']]
100 cell += ' '
101
102 if 'average' not in res_j:
103 # Failed result
104 cell += '--'
105 continue
106
107 col_j = tab[0][j + 1] if named_columns else ''
108 diff_pr = round((res['average'] - res_j['average']) /
109 res_j['average'] * 100)
110 cell += f' {col_j}{diff_pr:+}%'
111 row.append(cell)
112 tab.append(row)
113
114 return f'All results are in {dim}\n\n' + tabulate.tabulate(tab)
115
116
117 if __name__ == '__main__':
118 import sys
119 import json
120
121 if len(sys.argv) < 2:
122 print(f'USAGE: {sys.argv[0]} results.json')
123 exit(1)
124
125 with open(sys.argv[1]) as f:
126 print(results_to_text(json.load(f)))