http_compression 0040755 0001750 0001750 00000000000 11173671434 0012440 5 ustar 00henry http_compression/bench.sh 0100755 0001750 0001750 00000001052 11173670615 0014130 0 ustar 00henry #!/bin/sh
if [ -z "$1" ]
then
echo "Usage: ${0} URL"
exit 1
fi
function bench
{
curl -s -o /dev/null \
--user-agent 'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.20) Gecko/20081217 Firefox/2.0.0.20' \
-w '%{time_total} %{time_connect} %{time_starttransfer} %{size_download}\n' \
$*
}
results_dir=.
rm -f *.csv
for i in 0 1 2 3 4 5 6 7 8 9; do
for j in 0 1 2 3 4 5 6 7 8 9; do
bench "$*" >> ${results_dir}/no\ gzip.csv
bench --compress "$*" >> ${results_dir}/gzip.csv
done
done
http_compression/report.py 0100755 0001750 0001750 00000004641 11173671134 0014406 0 ustar 00henry #!/usr/bin/env python
import os
import math
# Change this to True to get a HTML table
_HTML_REPORT = False
def _time(x):
return '%d' % (x * 1000)
def _mean(index, seq):
return sum(float(r[index]) for r in seq) / len(seq)
def _median(index, seq):
return sorted(float(r[index]) for r in seq)[len(seq) // 2 + 1]
def _standard_deviation(index, seq):
mean = _mean(index, seq)
diffs = list(pow(float(r[index]) - mean, 2) for r in seq)
return math.sqrt(sum(diffs) / len(seq))
def report(filename):
results = list(line.split() for line in open(filename))
if _HTML_REPORT:
print '\n| %s | ' % os.path.splitext(filename)[0]
def _report(variable_name, index, dark):
r = (_time(_mean(index, results)),
_time(_median(index, results)))
if dark:
print '%s | %s | ' % r
else:
print '%s | %s | ' % r
else:
print filename
def _report(variable_name, index, dark):
print ' %s' % variable_name
print ' Mean', _time(_mean(index, results))
print ' Median', _time(_median(index, results))
print ' Standard Deviation', _time(_standard_deviation(index,
results))
print
_report('Connect time', 1, True)
_report('Pre-transfer time', 2, False)
_report('Total time', 0, True)
size = int(results[0][3])
if _HTML_REPORT:
print '%d | %.02f | ' % (size, float(size) / 1024)
print '
'
else:
print ' Size %d (%.02f KBytes)' % (size, float(size) / 1024)
if _HTML_REPORT:
print ''
print (''
'| File | '
'Connect time | '
'Pre-transfer time | '
'Total time | '
'Transfert size | '
'
')
print (''
'| Mean | Median | '
'Mean | Median | '
'Mean | Median | '
'Bytes | KBytes | '
'
')
for filename in os.listdir('.'):
if filename.endswith('.csv'):
report(filename)
if _HTML_REPORT:
print '
'