prosperon/scripts/profile.js

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var t_units = ["ns", "us", "ms", "s", "ks", "Ms"];
function calc_cpu(fn, times, diff=0)
{
var series = [];
for (var i = 0; i < times; i++) {
var st = profile.now();
fn(i);
series.push(profile.now()-st-diff);
}
return series;
}
function empty_fn() {}
profile.cpu = function profile_cpu(fn, times = 1, q = "unnamed") {
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var retgather = gathering_cpu;
profile.gather_stop();
var empty = calc_cpu(empty_fn, 100000);
var mean = Math.mean(empty);
var series = calc_cpu(fn,times, mean);
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var elapsed = Math.sum(series);
var avgt = profile.best_t(elapsed/series.length);
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var totalt = profile.best_t(elapsed);
say(`profile [${q}]: ${avgt} ± ${profile.best_t(Math.ci(series))} [${totalt} for ${times} loops]`);
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say(`result of function is ${fn()}`);
if (retgather)
profile.start_prof_gather();
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}
profile.ms = function(t) { return t/1000000; }
profile.secs = function(t) { return t/1000000000; }
var callgraph = {};
var st = profile.now();
function add_callgraph(fn, line, time) {
var cc = callgraph[line];
if (!cc) {
var cc = {};
callgraph[line] = cc;
cc.time = 0;
cc.hits = 0;
cc.fn = fn;
cc.line = line;
}
cc.time += time;
cc.hits++;
}
var hittar = 500;
var hitpct = 0.2;
var start_gather = profile.now();
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var gathering_cpu = false;
profile.start_cpu_gather = function()
{
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if (gathering_cpu) return;
gathering_cpu = true;
profile.gather(hittar, function() {
var time = profile.now()-st;
var err = new Error();
var stack = err.stack.split("\n");
stack = stack.slice(1);
stack = stack.map(x => x.slice(7).split(' '));
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var fns = stack.map(x => x[0]).filter(x=>x);
var lines = stack.map(x => x[1]).filter(x => x);
lines = lines.map(x => x.slice(1,x.length-1));
for (var i = 0; i < fns.length; i++)
add_callgraph(fns[i], lines[i], time);
st = profile.now();
profile.gather_rate(Math.variate(hittar,hitpct));
});
}
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function push_time(arr, ob, max)
{
arr.push({
time:profile.now(),
ob
});
}
profile.cpu_frames = [];
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profile.cpu_frame = function()
{
if (gathering_cpu) return;
profile.gather(Math.random_range(300,600), function() {
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push_time(profile.cpu_frames, console.stack(2));
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profile.gather_stop();
});
}
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var filecache = {};
function get_line(file, line) {
var text = filecache[file];
if (!text) {
var f = io.slurp(file);
if (!f) {
filecache[file] = "undefined";
return filecache[file];
}
filecache[file] = io.slurp(file).split('\n');
text = filecache[file];
}
if (typeof text === 'string') return text;
text = text[Number(line)-1];
if (!text) return "NULL";
return text.trim();
}
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profile.stop_cpu_instr = function()
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{
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if (!gathering_cpu) return;
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say("===CPU INSTRUMENTATION===\n");
var gather_time = profile.now()-start_gather;
var e = Object.values(callgraph);
e = e.sort((a,b) => {
if (a.time > b.time) return -1;
return 1;
});
e.forEach(x => {
var ffs = x.line.split(':');
var time = profile.best_t(x.time);
var pct = x.time/gather_time*100;
say(`${x.line}::${x.fn}:: ${time} (${pct.toPrecision(3)}%) (${x.hits} hits) --> ${get_line(ffs[0], ffs[1])}`);
});
}
profile.best_t = function (t) {
var qq = 0;
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while (t > 1000 && qq < t_units.length-1) {
t /= 1000;
qq++;
}
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return `${t.toPrecision(4)} ${t_units[qq]}`;
};
profile.report = function (start, msg = "[undefined report]") { console.info(`${msg} in ${profile.best_t(profile.now() - start)}`); };
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var frame_avg = false;
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profile.frame_avg_t = 72000;
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profile.start_frame_avg = function()
{
if (frame_avg) return;
say("===STARTING FRAME AVERAGE MEASUREMENTS===");
profile_frames = {};
profile_frame_ts = [];
profile_cframe = profile_frames;
pframe = 0;
frame_avg = true;
}
profile.stop_frame_avg = function()
{
if (!frame_avg) return;
frame_avg = false;
profile.print_frame_avg();
}
profile.toggle_frame_avg = function()
{
if (frame_avg) profile.stop_frame_avg();
else profile.start_frame_avg();
}
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var profile_framer = {
series: [],
avg: {},
frame: 72000,
};
var profile_cframe = undefined;
var pframe = 0;
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var profile_stack = [];
profile.frame = function profile_frame(title)
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{
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if (!frame_avg) return;
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if (!profile_cframe) {
profile_cframe = {};
profile_framer.series.push({
time:profile.now(),
data:profile_cframe
});
} else
profile_stack.push(profile_cframe);
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profile_cframe[title] ??= {};
profile_cframe = profile_cframe[title];
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profile_cframe.time = profile.now();
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}
profile.endframe = function profile_endframe()
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{
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if (!frame_avg) return;
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profile_cframe.time = profile.now() - profile_cframe.time;
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profile_cframe = profile_frame_ts.pop();
}
var print_frame = function(frame, indent, title)
{
say(indent + `${title} ::::: ${profile.best_t(Math.mean(frame._times))} ± ${profile.best_t(Math.ci(frame._times))} (${frame._times.length} hits)`);
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for (var i in frame) {
if (i === '_times') continue;
print_frame(frame[i], indent + " ", i);
}
}
profile.print_frame_avg = function()
{
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say("===FRAME AVERAGES===\n");
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var indent = "";
for (var i in profile_frames)
print_frame(profile_frames[i], "", 'frame');
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say("\n");
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}
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var cache_reporting = false;
var report_cache = {};
var cachest = 0;
var cachegroup;
var cachetitle;
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profile.imgui = function()
{
}
profile.cache_reporting = function() { return cache_reporting; }
profile.cache_toggle = function() { cache_reporting = !cache_reporting; }
profile.cache_dump = function() {
report_cache = {};
}
profile.cache = function profile_cache(group, title)
{
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if (!cache_reporting) return;
cachest = profile.now();
cachegroup = group;
cachetitle = title;
}
profile.endcache = function profile_endcache(tag = "")
{
addreport(cachegroup, cachetitle + tag, cachest);
}
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profile.print_cache_report = function()
{
var str = "===START CACHE REPORTS===\n";
for (var i in report_cache)
str += printreport(report_cache[i], i) + "\n";
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say(str);
}
function addreport(group, line, start) {
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if (typeof group !== 'string') group = 'UNGROUPED';
report_cache[group] ??= {};
var cache = report_cache[group];
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cache[line] ??= [];
var t = profile.now();
cache[line].push(t - start);
return t;
};
function printreport(cache, name) {
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var report = `==${name}==` + "\n";
var reports = [];
for (var i in cache) {
var time = cache[i].reduce((a,b)=>a+b);
reports.push({
time:time,
name:i,
hits:cache[i].length,
avg:time/cache[i].length
});
}
reports = reports.sort((a,b) => {
if (a.avg<b.avg) return 1;
return -1;
});
for (var rep of reports)
report += `${rep.name} ${profile.best_t(rep.avg)} (${rep.hits} hits) (total ${profile.best_t(rep.time)})\n`;
return report;
};
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profile.best_mem = function(bytes)
{
var sizes = ['Bytes', 'KB', 'MB', 'GB', 'TB'];
if (bytes == 0) return '0 Bytes';
var i = parseInt(Math.floor(Math.log(bytes) / Math.log(1024)));
return (bytes / Math.pow(1024, i)).toPrecision(3) + ' ' + sizes[i];
}
profile.print_mem = function()
{
var mem = os.mem();
say('total memory used: ' + profile.best_mem(mem.memory_used_size));
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say('total malloced: ' + profile.best_mem(mem.malloc_size));
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delete mem.memory_used_size;
delete mem.malloc_size;
for (var i in mem) {
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if (i. includes("size"))
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say(" " + i + " :: " + profile.best_mem(mem[i]));
}
}
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profile.last_mem = undefined;
profile.mems = [];
profile.gcs = [];
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profile.print_gc = function()
{
var gc = os.check_gc();
if (!gc) return;
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profile.gcs.push(gc);
profile.mems.push(os.mem());
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say("GC Hit");
say (`time: ${profile.best_t(gc.time)}`);
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say(`new threshold: ${profile.best_mem(profile.mems.last().gc_threshold)}`);
say(`memory checked: ${profile.best_mem(profile.gcs.last().mem)}`);
say(`memory freed: ${profile.best_mem(profile.gcs.last().startmem - profile.gcs.last().mem)}`);
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}
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return {profile};