mirror of
				https://github.com/catchorg/Catch2.git
				synced 2025-11-04 17:12:02 +01:00 
			
		
		
		
	
		
			
	
	
		
			57 lines
		
	
	
		
			1.6 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
		
		
			
		
	
	
			57 lines
		
	
	
		
			1.6 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
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								#!/usr/bin/env python3
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								import subprocess, os, sys
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								import xml.etree.ElementTree as ET
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								from collections import defaultdict
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								from statistics import median, stdev
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								from datetime import datetime
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								def get_commit_hash():
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								    res = subprocess.run('git rev-parse HEAD'.split(), check=True, stdout=subprocess.PIPE, universal_newlines=True)
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								    return res.stdout.strip()
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								if len(sys.argv) < 2:
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								    print('Usage: {} benchmark-binary'.format(sys.argv[0]))
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								    exit(1)
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								num_runs = 10
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								data = defaultdict(list)
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								def parse_file(file):
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								    def recursive_search(node):
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								        if node.tag == 'TestCase':
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								            results = node.find('OverallResult')
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								            time = results.get('durationInSeconds')
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								            data[node.get('name')].append(float(time))
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								        elif node.tag in ('Group', 'Catch'):
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								            for child in node:
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								                recursive_search(child)
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								    tree = ET.parse(file)
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								    recursive_search(tree.getroot())
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								def run_benchmarks(binary):
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								    call = [binary] + '-d yes -r xml -o'.split()
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								    for i in range(num_runs):
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								        file = 'temp{}.xml'.format(i)
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								        print('Run number {}'.format(i))
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								        subprocess.run(call + [file])
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								        parse_file(file)
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								        # Remove file right after parsing, because benchmark output can be big
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								        os.remove(file)
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								# Run benchmarks
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								run_benchmarks(sys.argv[1])
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								result_file = '{:%Y-%m-%dT%H-%M-%S}-{}.result'.format(datetime.now(), get_commit_hash())
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								print('Writing results to {}'.format(result_file))
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								with open(result_file, 'w') as file:
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								    for k in sorted(data):
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								        file.write('{}: median: {} (s), stddev: {} (s)\n'.format(k, median(data[k]), stdev(data[k])))
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