Skip to content

N
noVNC
Commit d3da7c4c authored by Joel Martin's avatar Joel Martin
Browse files
Options

Add Javascript binary byte array test. 

Compares normal Javascript arrays with Canvas ImageData arrays and
Typed Arrays (ArrayBuffers from WebGL).
parent 43cf7bd8
Expand all Hide whitespace changes
Inline Side-by-side
Showing with 660 additions and 0 deletions
tests/arrays.html 0 → 100644
View file @ d3da7c4c
<!DOCTYPE html>
<html>
<head>
<title>Javascript Arrays Performance Test</title>
<!--
<script type='text/javascript'
src='http://getfirebug.com/releases/lite/1.2/firebug-lite-compressed.js'></script>
-->
<script src="include/util.js"></script>
<script src="include/webutil.js"></script>
<script src="browser.js"></script>
<script src="stats.js"></script>
<script src="arrays.js"></script>
</head>
<body>
<h3>Javascript Arrays Performance Test</h3>
Iterations: <input id='iterations' style='width:50'>&nbsp;
Array Size: <input id='arraySize' style='width:40'>*1024&nbsp;
<input id='startButton' type='button' value='Run Tests'
onclick="begin();">&nbsp;
<br><br>
Results:<br>
<textarea id="messages" style="font-size: 9;" cols=80 rows=50></textarea>
</br>
<canvas id="canvas" style="display: none;"></canvas>
</body>
<script>
var verbose = true;
window.onload = function() {
vmessage("in onload");
init();
}
</script>
</html>
tests/arrays.js 0 → 100644
View file @ d3da7c4c
This diff is collapsed.
tests/json2graph.py 0 → 100755
View file @ d3da7c4c
#!/usr/bin/env python
# a bar plot with errorbars
import sys, json, pprint
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
def usage():
print "%s json_file level1 level2 level3\n\n" % sys.argv[0]
print "Description:\n"
print "level1, level2, and level3 are one each of the following:\n";
print " select=ITEM - select only ITEM at this level";
print " bar - each item on this level becomes a graph bar";
print " group - items on this level become groups of bars";
print "\n";
print "json_file is a file containing json data in the following format:\n"
print ' {';
print ' "conf": {';
print ' "order_l1": [';
print ' "level1_label1",';
print ' "level1_label2",';
print ' ...';
print ' ],';
print ' "order_l2": [';
print ' "level2_label1",';
print ' "level2_label2",';
print ' ...';
print ' ],';
print ' "order_l3": [';
print ' "level3_label1",';
print ' "level3_label2",';
print ' ...';
print ' ]';
print ' },';
print ' "stats": {';
print ' "level1_label1": {';
print ' "level2_label1": {';
print ' "level3_label1": [val1, val2, val3],';
print ' "level3_label2": [val1, val2, val3],';
print ' ...';
print ' },';
print ' "level2_label2": {';
print ' ...';
print ' },';
print ' },';
print ' "level1_label2": {';
print ' ...';
print ' },';
print ' ...';
print ' },';
print ' }';
sys.exit(2)
def error(msg):
print msg
sys.exit(1)
#colors = ['#ff0000', '#0863e9', '#00f200', '#ffa100',
# '#800000', '#805100', '#013075', '#007900']
colors = ['#ff0000', '#00ff00', '#0000ff',
'#dddd00', '#dd00dd', '#00dddd',
'#dd6622', '#dd2266', '#66dd22',
'#8844dd', '#44dd88', '#4488dd']
if len(sys.argv) < 5:
usage()
filename = sys.argv[1]
L1 = sys.argv[2]
L2 = sys.argv[3]
L3 = sys.argv[4]
if len(sys.argv) > 5:
legendHeight = float(sys.argv[5])
else:
legendHeight = 0.75
# Load the JSON data from the file
data = json.loads(file(filename).read())
conf = data['conf']
stats = data['stats']
# Sanity check data hierarchy
if len(conf['order_l1']) != len(stats.keys()):
error("conf.order_l1 does not match stats level 1")
for l1 in stats.keys():
if len(conf['order_l2']) != len(stats[l1].keys()):
error("conf.order_l2 does not match stats level 2 for %s" % l1)
if conf['order_l1'].count(l1) < 1:
error("%s not found in conf.order_l1" % l1)
for l2 in stats[l1].keys():
if len(conf['order_l3']) != len(stats[l1][l2].keys()):
error("conf.order_l3 does not match stats level 3")
if conf['order_l2'].count(l2) < 1:
error("%s not found in conf.order_l2" % l2)
for l3 in stats[l1][l2].keys():
if conf['order_l3'].count(l3) < 1:
error("%s not found in conf.order_l3" % l3)
#
# Generate the data based on the level specifications
#
bar_labels = None
group_labels = None
bar_vals = []
bar_sdvs = []
if L3.startswith("select="):
select_label = l3 = L3.split("=")[1]
bar_labels = conf['order_l1']
group_labels = conf['order_l2']
bar_vals = [[0]*len(group_labels) for i in bar_labels]
bar_sdvs = [[0]*len(group_labels) for i in bar_labels]
for b in range(len(bar_labels)):
l1 = bar_labels[b]
for g in range(len(group_labels)):
l2 = group_labels[g]
bar_vals[b][g] = np.mean(stats[l1][l2][l3])
bar_sdvs[b][g] = np.std(stats[l1][l2][l3])
elif L2.startswith("select="):
select_label = l2 = L2.split("=")[1]
bar_labels = conf['order_l1']
group_labels = conf['order_l3']
bar_vals = [[0]*len(group_labels) for i in bar_labels]
bar_sdvs = [[0]*len(group_labels) for i in bar_labels]
for b in range(len(bar_labels)):
l1 = bar_labels[b]
for g in range(len(group_labels)):
l3 = group_labels[g]
bar_vals[b][g] = np.mean(stats[l1][l2][l3])
bar_sdvs[b][g] = np.std(stats[l1][l2][l3])
elif L1.startswith("select="):
select_label = l1 = L1.split("=")[1]
bar_labels = conf['order_l2']
group_labels = conf['order_l3']
bar_vals = [[0]*len(group_labels) for i in bar_labels]
bar_sdvs = [[0]*len(group_labels) for i in bar_labels]
for b in range(len(bar_labels)):
l2 = bar_labels[b]
for g in range(len(group_labels)):
l3 = group_labels[g]
bar_vals[b][g] = np.mean(stats[l1][l2][l3])
bar_sdvs[b][g] = np.std(stats[l1][l2][l3])
else:
usage()
# If group is before bar then flip (zip) the data
if [L1, L2, L3].index("group") < [L1, L2, L3].index("bar"):
bar_labels, group_labels = group_labels, bar_labels
bar_vals = zip(*bar_vals)
bar_sdvs = zip(*bar_sdvs)
print "bar_vals:", bar_vals
#
# Now render the bar graph
#
ind = np.arange(len(group_labels)) # the x locations for the groups
width = 0.8 * (1.0/len(bar_labels)) # the width of the bars
fig = plt.figure(figsize=(10,6), dpi=80)
plot = fig.add_subplot(1, 1, 1)
rects = []
for i in range(len(bar_vals)):
rects.append(plot.bar(ind+width*i, bar_vals[i], width, color=colors[i],
yerr=bar_sdvs[i], align='center'))
# add some
plot.set_ylabel('Milliseconds (less is better)')
plot.set_title("Javascript array test: %s" % select_label)
plot.set_xticks(ind+width)
plot.set_xticklabels( group_labels )
fontP = FontProperties()
fontP.set_size('small')
plot.legend( [r[0] for r in rects], bar_labels, prop=fontP,
loc = 'center right', bbox_to_anchor = (1.0, legendHeight))
def autolabel(rects):
# attach some text labels
for rect in rects:
height = rect.get_height()
if np.isnan(height):
height = 0.0
plot.text(rect.get_x()+rect.get_width()/2., height+20, '%d'%int(height),
ha='center', va='bottom', size='7')
for rect in rects:
autolabel(rect)
# Adjust axis sizes
axis = list(plot.axis())
axis[0] = -width # Make sure left side has enough for bar
#axis[1] = axis[1] * 1.20 # Add 20% to the right to make sure it fits
axis[2] = 0 # Make y-axis start at 0
axis[3] = axis[3] * 1.10 # Add 10% to the top
plot.axis(axis)
plt.show()
tests/stats.js 0 → 100644
View file @ d3da7c4c
/*
* Define some useful statistical functions on arrays of numbers
*/
Array.prototype.sum = function() {
var i, sum = 0;
for (i = 0; i < this.length; i++) {
sum += this[i];
}
return sum;
}
Array.prototype.max = function() {
return Math.max.apply(null, this);
}
Array.prototype.min = function() {
return Math.min.apply(null, this);
}
Array.prototype.mean = function() {
return this.sum() / this.length;
}
Array.prototype.average = Array.prototype.mean;
Array.prototype.median = function() {
var sorted = this.sort( function(a,b) { return a-b; }),
len = sorted.length;
if (len % 2) {
return sorted[Math.floor(len / 2)]; // Odd
} else {
return (sorted[len/2 - 1] + sorted[len/2]) / 2; // Even
}
}
Array.prototype.stdDev = function(sample) {
var i, sumSqr = 0, mean = this.mean(), N;
if (sample) {
// Population correction if this is a sample
N = this.length - 1;
} else {
// Standard deviation of just the array
N = this.length;
}
for (i = 0; i < this.length; i++) {
sumSqr += Math.pow(this[i] - mean, 2);
}
return Math.sqrt(sumSqr / N);
}
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment