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multiple_tests.html
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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<script src="https://cdnjs.cloudflare.com/ajax/libs/seedrandom/3.0.5/seedrandom.min.js"></script>
<script src="https://d3js.org/d3.v5.min.js"></script>
</head>
<script
src="https://code.easypz.io/easypz.latest.min.js">
</script>
<script src="https://unpkg.com/javascript-lp-solver/prod/solver.js"></script>
<style>
body {
font-family: Arial, Helvetica, sans-serif;
margin: 5%;
}
svg {
margin: 1%;
background-color: white;
}
.algorithm_header {
font-size: 2em;
font-weight: bold;
margin-top: 100px;
margin-bottom: 20px;
}
.rowDiv {
margin-top: 20px;
}
</style>
<body>
</body>
<script src="./dist/dist.js"></script>
<script>
let threadRunning = 0;
let maxIterations = 20;
let maxIterationsPerVariation = 1;
let maxVariations = 20;
let curIterationNum = 0;
let curVariation = 0;
let gansnerResults = [];
let sweepResults = [];
let lpResults = [];
let workersTerminated = 0;
const gansner_color = 'blue'
const sweep_color = 'orange'
const lp_color = 'red'
let depth = 2
let tableDistribution = [2, 3]
let gansnerpath;
for (i=0; i<=maxVariations + 1; i++){gansnerResults.push([])}
for (i=0; i<=maxVariations + 1; i++){sweepResults.push([])}
for (i=0; i<=maxVariations + 1; i++){lpResults.push([])}
let path_width = 3
processing_div = d3.select('body')
.attr('width', window.innerWidth)
.append('div')
processing_gif = processing_div.append('img')
.attr('src', './images/Spinner-1s-200px.gif')
.attr('width', 70)
.attr('height', 70)
current_processing_text = processing_div
.append('div')
.style('font-size', 'x-large')
.style('font-weight', 'bold')
.style('display', 'inline-block')
.style('transform', 'translate(0, -100%)')
.html('processing')
current_processing_small_text = processing_div
.append('div')
.style('margin', '10px')
.html('Additional info')
init_timing_chart = () => {
const width = 600
const height = 600
const padding = 50
timing_svg = d3.select('body').append('svg')
.attr('width', 600)
.attr('height', 600)
timing_yScale = d3.scaleLinear()
.domain([0, 2000])
.range([500, 0]);
timing_xScale = d3.scaleLinear()
.domain([0, 100])
.range([0, 500]);
timing_svg.append("g")
.attr('transform', "translate(50, 50)")
.call(d3.axisLeft(timing_yScale));
timing_svg.append("g")
.attr("transform", "translate(50," + 550 + ")")
.call(d3.axisBottom(timing_xScale));
timing_p = timing_svg.append("g")
.attr('transform', "translate(50, 50)")
timing_gansnerpath = timing_p
.append('path')
.attr('fill', 'none')
.attr('stroke', 'blue')
.attr('id', 'timing_gansnerpath')
.attr('stroke-width', path_width)
timing_sweeppath = timing_p
.append('path')
.attr('fill', 'none')
.attr('stroke', 'orange')
.attr('id', 'timing_sweeppath')
.attr('stroke-width', path_width)
timing_lppath = timing_p
.append('path')
.attr('fill', 'none')
.attr('stroke', 'red')
.attr('id', 'timing_lppath')
.attr('stroke-width', path_width)
timing_svg.append('text')
.attr('text-anchor', 'middle')
.attr('x', timing_svg.attr('width')/2)
.attr('y', 50)
.text('Time')
timing_svg.append('text')
.attr('text-anchor', 'middle')
.attr('x', width/2)
.attr('y', height - padding/2 + 10)
.attr('font-size', 'small')
.text('Number of tables')
timing_svg.append('text')
.attr('text-anchor', 'middle')
.attr('x', -height/2)
.attr('y', 10)
.attr('transform', 'rotate(-90)')
.attr('font-size', 'small')
.text('time in ms')
}
init_crossings_chart = () => {
const width = 600
const height = 600
const padding = 50
crossings_svg = d3.select('body').append('svg')
.attr('width', width)
.attr('height', height)
crossings_yScale = d3.scaleLinear()
.domain([0, 400])
.range([500, 0]);
crossings_xScale = d3.scaleLinear()
.domain([0, 100])
.range([0, 500]);
crossings_svg.append("g")
.attr('transform', "translate(" + padding + ", " + padding + ")")
.call(d3.axisLeft(crossings_yScale));
crossings_svg.append("g")
.attr("transform", "translate(50," + (height-padding) + ")")
.call(d3.axisBottom(crossings_xScale));
crossings_p = crossings_svg.append("g")
.attr('transform', "translate(" + padding + ", " + padding + ")")
crossings_gansnerpath = crossings_p
.append('path')
.attr('fill', 'none')
.attr('stroke', 'blue')
.attr('id', 'crossings_gansnerpath')
.attr('stroke-width', path_width)
crossings_sweeppath = crossings_p
.append('path')
.attr('fill', 'none')
.attr('stroke', 'orange')
.attr('id', 'crossings_sweeppath')
.attr('stroke-width', path_width)
crossings_lppath = crossings_p
.append('path')
.attr('fill', 'none')
.attr('stroke', 'red')
.attr('id', 'crossings_lppath')
.attr('stroke-width', path_width)
crossings_svg.append('text')
.attr('text-anchor', 'middle')
.attr('x', width/2)
.attr('y', padding)
.text('Crossings')
crossings_svg.append('text')
.attr('text-anchor', 'middle')
.attr('x', width/2)
.attr('y', height - padding/2 + 10)
.attr('font-size', 'small')
.text('Number of tables')
crossings_svg.append('text')
.attr('text-anchor', 'middle')
.attr('x', -height/2)
.attr('y', 10)
.attr('transform', 'rotate(-90)')
.attr('font-size', 'small')
.text('Number of crossings')
}
update_path = (p, val, resArr, xscale, yscale) => {
p.attr('d', () => {
let res = []
for (v in resArr){
let tmpresx = 0
let tmpresy = 0
for (elem of resArr[v]){
tmpresx += elem.tables
tmpresy += elem[val]
}
tmpresx = tmpresx/resArr[v].length
tmpresy = tmpresy/resArr[v].length
res.push([xscale(tmpresx), yscale(tmpresy)])
}
return d3.line()(res)
})
}
runFuncGansner = () => {
current_processing_text.html("Computing Gansner")
if (threadRunning == 0) {
g = new GraphGenerator(depth, Math.random(), tableDistribution)
g = g.generate()
g.setExactWeights()
g.sortGraph()
runWorker(g, 'gansner', gansnerResults)
current_processing_small_text.html(
'Computing graph with ' + g.tables.length + ' tables, ' + g.edges.length + ' edges <br>' +
'Iteration ' + curIterationNum + ', variation ' + curVariation + '<br>' +
'Workers terminated: ' + workersTerminated
)
curIterationNum += 1
if (curIterationNum > maxIterationsPerVariation){
curIterationNum = 0
curVariation += 1
if (curVariation%3 == 0) depth += 1
if (curVariation % 2 == 0) tableDistribution[0] += 1
else tableDistribution[1] += 1
update_path(timing_gansnerpath, 'time', gansnerResults,timing_xScale, timing_yScale)
update_path(crossings_gansnerpath, 'crossings', gansnerResults, crossings_xScale, crossings_yScale)
}
}
setTimeout(() => {
if (curVariation < maxVariations) {
runFuncGansner()
} else {
curVariation = 0
curIterationNum = 0
depth = 2
tableDistribution = [2, 3]
workersTerminated = 0
runFuncSweep()
}
}, 10)
}
runFuncSweep = () => {
current_processing_text.html("Computing Sweep")
if (threadRunning == 0) {
g = new GraphGenerator(depth, Math.random(), tableDistribution)
g = g.generate()
g.setExactWeights()
g.sortGraph()
runWorker(g, 'sweep', sweepResults)
current_processing_small_text.html(
'Computing graph with ' + g.tables.length + ' tables, ' + g.edges.length + ' edges <br>' +
'Iteration ' + curIterationNum + ', variation ' + curVariation + '<br>' +
'Workers terminated: ' + workersTerminated
)
curIterationNum += 1
if (curIterationNum > maxIterationsPerVariation){
curIterationNum = 0
curVariation += 1
if (curVariation%3 == 0) depth += 1
if (curVariation%2 == 0) tableDistribution[0] += 1
else tableDistribution[1] += 1
update_path(timing_sweeppath, 'time', sweepResults, timing_xScale, timing_yScale)
update_path(crossings_sweeppath, 'crossings', sweepResults, crossings_xScale, crossings_yScale)
}
}
setTimeout(() => {
if (curVariation < maxVariations) {
runFuncSweep()
} else {
curVariation = 0
curIterationNum = 0
depth = 2
tableDistribution = [2, 3]
workersTerminated = 0
runFuncLp()
}
}, 10)
}
runFuncLp = () => {
current_processing_text.html("Computing LP")
if (threadRunning == 0) {
g = new GraphGenerator(depth, Math.random(), tableDistribution)
g = g.generate()
g.setExactWeights()
g.sortGraph()
runWorker(g, 'lp', lpResults)
current_processing_small_text.html(
'Computing graph with ' + g.tables.length + ' tables, ' + g.edges.length + ' edges <br>' +
'Iteration ' + curIterationNum + ', variation ' + curVariation + '<br>' +
'Workers terminated: ' + workersTerminated
)
curIterationNum += 1
if (curIterationNum > maxIterationsPerVariation){
curIterationNum = 0
curVariation += 1
if (curVariation%3 == 0) depth += 1
if (curVariation % 2 == 0) tableDistribution[0] += 1
else tableDistribution[1] += 1
update_path(timing_lppath, 'time', lpResults, timing_xScale, timing_yScale)
update_path(crossings_lppath, 'crossings', lpResults, crossings_xScale, crossings_yScale)
}
}
setTimeout(() => {
if (curVariation < maxVariations) {
runFuncLp()
} else {
processing_gif.remove()
current_processing_text.html('Complete')
}
}, 10)
}
init_timing_chart()
init_crossings_chart()
runFuncGansner()
async function runWorker(g, cmd, resultArr){
let myWorker = new Worker('./js/worker.js')
myWorker.postMessage({'cmd': cmd, 'graph': g});
let finished = false;
threadRunning += 1;
let algorithm;
myWorker.addEventListener('message', (msg) => {
finished = true;
threadRunning -= 1;
algorithm = msg.data.algorithm;
for (table of msg.data.graph.tables){
t1 = g.tables.find(t => t.name == table.name)
t1.weight = table.weight
for (attribute of table.attributes){
a1 = t1.attributes.find(a => a.name == attribute.name)
a1.weight = attribute.weight
}
}
g.setExactWeights()
g.sortGraph()
resultArr[curVariation].push({
'tables': g.tables.length,
'edges': g.edges.length,
'crossings': g.getEdgeCrossings(),
'time': algorithm.elapsedTime
})
});
setTimeout(() => {
myWorker.terminate()
if (!finished) {
console.log('worker terminated')
threadRunning -= 1;
workersTerminated += 1
}
}, 5000);
}
</script>
</html>