WhisperCom/libs/Catch2/scripts/benchmarkRunner.py

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#!/usr/bin/env python3
import subprocess, os, sys
import xml.etree.ElementTree as ET
from collections import defaultdict
from statistics import median, stdev
from datetime import datetime
def get_commit_hash():
res = subprocess.run('git rev-parse HEAD'.split(), check=True, stdout=subprocess.PIPE, universal_newlines=True)
return res.stdout.strip()
if len(sys.argv) < 2:
print('Usage: {} benchmark-binary'.format(sys.argv[0]))
exit(1)
num_runs = 10
data = defaultdict(list)
def parse_file(file):
def recursive_search(node):
if node.tag == 'TestCase':
results = node.find('OverallResult')
time = results.get('durationInSeconds')
data[node.get('name')].append(float(time))
elif node.tag in ('Group', 'Catch'):
for child in node:
recursive_search(child)
tree = ET.parse(file)
recursive_search(tree.getroot())
def run_benchmarks(binary):
call = [binary] + '-d yes -r xml -o'.split()
for i in range(num_runs):
file = 'temp{}.xml'.format(i)
print('Run number {}'.format(i))
subprocess.run(call + [file])
parse_file(file)
# Remove file right after parsing, because benchmark output can be big
os.remove(file)
# Run benchmarks
run_benchmarks(sys.argv[1])
result_file = '{:%Y-%m-%dT%H-%M-%S}-{}.result'.format(datetime.now(), get_commit_hash())
print('Writing results to {}'.format(result_file))
with open(result_file, 'w') as file:
for k in sorted(data):
file.write('{}: median: {} (s), stddev: {} (s)\n'.format(k, median(data[k]), stdev(data[k])))