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") { 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); var elapsed = Math.sum(series); var avgt = profile.best_t(elapsed/series.length); var totalt = profile.best_t(elapsed); say(`profile [${q}]: ${avgt} ± ${profile.best_t(Math.ci(series))} [${totalt} for ${times} loops]`); say(`result of function is ${fn()}`); if (retgather) profile.start_prof_gather(); } 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(); var gathering_cpu = false; profile.start_cpu_gather = function() { 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(' ')); 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)); }); } function push_time(arr, ob, max) { arr.push({ time:profile.now(), ob }); } profile.cpu_frames = []; profile.cpu_frame = function() { if (gathering_cpu) return; profile.gather(Math.random_range(300,600), function() { push_time(profile.cpu_frames, console.stack(2)); profile.gather_stop(); }); } 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(); } profile.stop_cpu_instr = function() { if (!gathering_cpu) return; 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) --> ${get_line(ffs[0], ffs[1])}`); }); } profile.best_t = function (t) { var qq = 0; while (t > 1000 && qq < t_units.length-1) { t /= 1000; qq++; } return `${t.toPrecision(4)} ${t_units[qq]}`; }; profile.report = function (start, msg = "[undefined report]") { console.info(`${msg} in ${profile.best_t(profile.now() - start)}`); }; var frame_avg = false; profile.frame_avg_t = 72000; profile.start_frame_avg = function() { if (frame_avg) return; say("===STARTING FRAME AVERAGE MEASUREMENTS==="); profile_frames = {}; profile_frame_ts = []; profile_cframe = profile_frames; pframe = 0; frame_avg = true; } profile.stop_frame_avg = function() { if (!frame_avg) return; frame_avg = false; profile.print_frame_avg(); } profile.toggle_frame_avg = function() { if (frame_avg) profile.stop_frame_avg(); else profile.start_frame_avg(); } var profile_framer = { series: [], avg: {}, frame: 72000, }; var profile_cframe = undefined; var pframe = 0; var profile_stack = []; profile.frame = function profile_frame(title) { if (!frame_avg) return; if (!profile_cframe) { profile_cframe = {}; profile_framer.series.push({ time:profile.now(), data:profile_cframe }); } else profile_stack.push(profile_cframe); profile_cframe[title] ??= {}; profile_cframe = profile_cframe[title]; profile_cframe.time = profile.now(); } profile.endframe = function profile_endframe() { if (!frame_avg) return; profile_cframe.time = profile.now() - profile_cframe.time; profile_cframe = profile_frame_ts.pop(); } var print_frame = function(frame, indent, title) { say(indent + `${title} ::::: ${profile.best_t(Math.mean(frame._times))} ± ${profile.best_t(Math.ci(frame._times))} (${frame._times.length} hits)`); for (var i in frame) { if (i === '_times') continue; print_frame(frame[i], indent + " ", i); } } profile.print_frame_avg = function() { say("===FRAME AVERAGES===\n"); var indent = ""; for (var i in profile_frames) print_frame(profile_frames[i], "", 'frame'); say("\n"); } var cache_reporting = false; var report_cache = {}; var cachest = 0; var cachegroup; var cachetitle; 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) { if (!cache_reporting) return; cachest = profile.now(); cachegroup = group; cachetitle = title; } profile.endcache = function profile_endcache(tag = "") { addreport(cachegroup, cachetitle + tag, cachest); } profile.print_cache_report = function() { var str = "===START CACHE REPORTS===\n"; for (var i in report_cache) str += printreport(report_cache[i], i) + "\n"; say(str); } function addreport(group, line, start) { if (typeof group !== 'string') group = 'UNGROUPED'; report_cache[group] ??= {}; var cache = report_cache[group]; cache[line] ??= []; var t = profile.now(); cache[line].push(t - start); return t; }; function printreport(cache, name) { 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