270124e7ef
Signed-off-by: Vladimir Sementsov-Ogievskiy <vsementsov@virtuozzo.com> Message-Id: <20201021145859.11201-14-vsementsov@virtuozzo.com> Reviewed-by: Max Reitz <mreitz@redhat.com> Signed-off-by: Max Reitz <mreitz@redhat.com>
129 lines
4.5 KiB
Python
129 lines
4.5 KiB
Python
#!/usr/bin/env python
|
|
#
|
|
# Simple benchmarking framework
|
|
#
|
|
# Copyright (c) 2019 Virtuozzo International GmbH.
|
|
#
|
|
# This program is free software; you can redistribute it and/or modify
|
|
# it under the terms of the GNU General Public License as published by
|
|
# the Free Software Foundation; either version 2 of the License, or
|
|
# (at your option) any later version.
|
|
#
|
|
# This program is distributed in the hope that it will be useful,
|
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
# GNU General Public License for more details.
|
|
#
|
|
# You should have received a copy of the GNU General Public License
|
|
# along with this program. If not, see <http://www.gnu.org/licenses/>.
|
|
#
|
|
|
|
|
|
def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
|
|
"""Benchmark one test-case
|
|
|
|
test_func -- benchmarking function with prototype
|
|
test_func(env, case), which takes test_env and test_case
|
|
arguments and returns {'seconds': int} (which is benchmark
|
|
result) on success and {'error': str} on error. Returned
|
|
dict may contain any other additional fields.
|
|
test_env -- test environment - opaque first argument for test_func
|
|
test_case -- test case - opaque second argument for test_func
|
|
count -- how many times to call test_func, to calculate average
|
|
initial_run -- do initial run of test_func, which don't get into result
|
|
|
|
Returns dict with the following fields:
|
|
'runs': list of test_func results
|
|
'average': average seconds per run (exists only if at least one run
|
|
succeeded)
|
|
'delta': maximum delta between test_func result and the average
|
|
(exists only if at least one run succeeded)
|
|
'n-failed': number of failed runs (exists only if at least one run
|
|
failed)
|
|
"""
|
|
if initial_run:
|
|
print(' #initial run:')
|
|
print(' ', test_func(test_env, test_case))
|
|
|
|
runs = []
|
|
for i in range(count):
|
|
print(' #run {}'.format(i+1))
|
|
res = test_func(test_env, test_case)
|
|
print(' ', res)
|
|
runs.append(res)
|
|
|
|
result = {'runs': runs}
|
|
|
|
succeeded = [r for r in runs if ('seconds' in r)]
|
|
if succeeded:
|
|
avg = sum(r['seconds'] for r in succeeded) / len(succeeded)
|
|
result['average'] = avg
|
|
result['delta'] = max(abs(r['seconds'] - avg) for r in succeeded)
|
|
|
|
if len(succeeded) < count:
|
|
result['n-failed'] = count - len(succeeded)
|
|
|
|
return result
|
|
|
|
|
|
def ascii_one(result):
|
|
"""Return ASCII representation of bench_one() returned dict."""
|
|
if 'average' in result:
|
|
s = '{:.2f} +- {:.2f}'.format(result['average'], result['delta'])
|
|
if 'n-failed' in result:
|
|
s += '\n({} failed)'.format(result['n-failed'])
|
|
return s
|
|
else:
|
|
return 'FAILED'
|
|
|
|
|
|
def bench(test_func, test_envs, test_cases, *args, **vargs):
|
|
"""Fill benchmark table
|
|
|
|
test_func -- benchmarking function, see bench_one for description
|
|
test_envs -- list of test environments, see bench_one
|
|
test_cases -- list of test cases, see bench_one
|
|
args, vargs -- additional arguments for bench_one
|
|
|
|
Returns dict with the following fields:
|
|
'envs': test_envs
|
|
'cases': test_cases
|
|
'tab': filled 2D array, where cell [i][j] is bench_one result for
|
|
test_cases[i] for test_envs[j] (i.e., rows are test cases and
|
|
columns are test environments)
|
|
"""
|
|
tab = {}
|
|
results = {
|
|
'envs': test_envs,
|
|
'cases': test_cases,
|
|
'tab': tab
|
|
}
|
|
n = 1
|
|
n_tests = len(test_envs) * len(test_cases)
|
|
for env in test_envs:
|
|
for case in test_cases:
|
|
print('Testing {}/{}: {} :: {}'.format(n, n_tests,
|
|
env['id'], case['id']))
|
|
if case['id'] not in tab:
|
|
tab[case['id']] = {}
|
|
tab[case['id']][env['id']] = bench_one(test_func, env, case,
|
|
*args, **vargs)
|
|
n += 1
|
|
|
|
print('Done')
|
|
return results
|
|
|
|
|
|
def ascii(results):
|
|
"""Return ASCII representation of bench() returned dict."""
|
|
from tabulate import tabulate
|
|
|
|
tab = [[""] + [c['id'] for c in results['envs']]]
|
|
for case in results['cases']:
|
|
row = [case['id']]
|
|
for env in results['envs']:
|
|
row.append(ascii_one(results['tab'][case['id']][env['id']]))
|
|
tab.append(row)
|
|
|
|
return tabulate(tab)
|