Skip to content

Instantly share code, notes, and snippets.

Show Gist options
  • Save quasiben/0e4bac1e2b0bc1f9840e126b8f65dac9 to your computer and use it in GitHub Desktop.
Save quasiben/0e4bac1e2b0bc1f9840e126b8f65dac9 to your computer and use it in GitHub Desktop.
Display the source blob
Display the rendered blob
Raw
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg version="1.1" width="1200" height="662" onload="init(evt)" viewBox="0 0 1200 662" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><!--Flame graph stack visualization. See https://github.com/brendangregg/FlameGraph for latest version, and http://www.brendangregg.com/flamegraphs.html for examples.--><!--NOTES: --><defs><linearGradient id="background" y1="0" y2="1" x1="0" x2="0"><stop stop-color="#eeeeee" offset="5%"/><stop stop-color="#eeeeb0" offset="95%"/></linearGradient></defs><style type="text/css">
text { font-family:"Verdana"; font-size:12px; fill:rgb(0,0,0); }
#title { text-anchor:middle; font-size:17px; }
#search { opacity:0.1; cursor:pointer; }
#search:hover, #search.show { opacity:1; }
#subtitle { text-anchor:middle; font-color:rgb(160,160,160); }
#unzoom { cursor:pointer; }
#frames > *:hover { stroke:black; stroke-width:0.5; cursor:pointer; }
.hide { display:none; }
.parent { opacity:0.5; }
</style><script type="text/ecmascript"><![CDATA[var nametype = 'Function:';
var fontsize = 12;
var fontwidth = 0.59;
var xpad = 10;
var inverted = true;
var searchcolor = 'rgb(230,0,230)';
var fluiddrawing = true;
var truncate_text_right = false;]]><![CDATA["use strict";
var details, searchbtn, unzoombtn, matchedtxt, svg, searching, frames;
function init(evt) {
details = document.getElementById("details").firstChild;
searchbtn = document.getElementById("search");
unzoombtn = document.getElementById("unzoom");
matchedtxt = document.getElementById("matched");
svg = document.getElementsByTagName("svg")[0];
frames = document.getElementById("frames");
searching = 0;
// Use GET parameters to restore a flamegraph's state.
var restore_state = function() {
var params = get_params();
if (params.x && params.y)
zoom(find_group(document.querySelector('[x="' + params.x + '"][y="' + params.y + '"]')));
if (params.s)
search(params.s);
};
if (fluiddrawing) {
// Make width dynamic so the SVG fits its parent's width.
svg.removeAttribute("width");
// Edge requires us to have a viewBox that gets updated with size changes.
var isEdge = /Edge\/\d./i.test(navigator.userAgent);
if (!isEdge) {
svg.removeAttribute("viewBox");
}
var update_for_width_change = function() {
if (isEdge) {
svg.attributes.viewBox.value = "0 0 " + svg.width.baseVal.value + " " + svg.height.baseVal.value;
}
// Keep consistent padding on left and right of frames container.
frames.attributes.width.value = svg.width.baseVal.value - xpad * 2;
// Text truncation needs to be adjusted for the current width.
var el = frames.children;
for(var i = 0; i < el.length; i++) {
update_text(el[i]);
}
// Keep search elements at a fixed distance from right edge.
var svgWidth = svg.width.baseVal.value;
searchbtn.attributes.x.value = svgWidth - xpad - 100;
matchedtxt.attributes.x.value = svgWidth - xpad - 100;
};
window.addEventListener('resize', function() {
update_for_width_change();
});
// This needs to be done asynchronously for Safari to work.
setTimeout(function() {
unzoom();
update_for_width_change();
restore_state();
}, 0);
} else {
restore_state();
}
}
// event listeners
window.addEventListener("click", function(e) {
var target = find_group(e.target);
if (target) {
if (target.nodeName == "a") {
if (e.ctrlKey === false) return;
e.preventDefault();
}
if (target.classList.contains("parent")) unzoom();
zoom(target);
// set parameters for zoom state
var el = target.querySelector("rect");
if (el && el.attributes && el.attributes.y && el.attributes._orig_x) {
var params = get_params()
params.x = el.attributes._orig_x.value;
params.y = el.attributes.y.value;
history.replaceState(null, null, parse_params(params));
}
}
else if (e.target.id == "unzoom") {
unzoom();
// remove zoom state
var params = get_params();
if (params.x) delete params.x;
if (params.y) delete params.y;
history.replaceState(null, null, parse_params(params));
}
else if (e.target.id == "search") search_prompt();
}, false)
// mouse-over for info
// show
window.addEventListener("mouseover", function(e) {
var target = find_group(e.target);
if (target) details.nodeValue = nametype + " " + g_to_text(target);
}, false)
// clear
window.addEventListener("mouseout", function(e) {
var target = find_group(e.target);
if (target) details.nodeValue = ' ';
}, false)
// ctrl-F for search
window.addEventListener("keydown",function (e) {
if (e.keyCode === 114 || (e.ctrlKey && e.keyCode === 70)) {
e.preventDefault();
search_prompt();
}
}, false)
// functions
function get_params() {
var params = {};
var paramsarr = window.location.search.substr(1).split('&');
for (var i = 0; i < paramsarr.length; ++i) {
var tmp = paramsarr[i].split("=");
if (!tmp[0] || !tmp[1]) continue;
params[tmp[0]] = decodeURIComponent(tmp[1]);
}
return params;
}
function parse_params(params) {
var uri = "?";
for (var key in params) {
uri += key + '=' + encodeURIComponent(params[key]) + '&';
}
if (uri.slice(-1) == "&")
uri = uri.substring(0, uri.length - 1);
if (uri == '?')
uri = window.location.href.split('?')[0];
return uri;
}
function find_child(node, selector) {
var children = node.querySelectorAll(selector);
if (children.length) return children[0];
return;
}
function find_group(node) {
var parent = node.parentElement;
if (!parent) return;
if (parent.id == "frames") return node;
return find_group(parent);
}
function orig_save(e, attr, val) {
if (e.attributes["_orig_" + attr] != undefined) return;
if (e.attributes[attr] == undefined) return;
if (val == undefined) val = e.attributes[attr].value;
e.setAttribute("_orig_" + attr, val);
}
function orig_load(e, attr) {
if (e.attributes["_orig_"+attr] == undefined) return;
e.attributes[attr].value = e.attributes["_orig_" + attr].value;
e.removeAttribute("_orig_" + attr);
}
function g_to_text(e) {
var text = find_child(e, "title").firstChild.nodeValue;
return (text)
}
function g_to_func(e) {
var func = g_to_text(e);
// if there's any manipulation we want to do to the function
// name before it's searched, do it here before returning.
return (func);
}
function update_text(e) {
var r = find_child(e, "rect");
var t = find_child(e, "text");
var w = parseFloat(r.attributes.width.value) * frames.attributes.width.value / 100 - 3;
var txt = find_child(e, "title").textContent.replace(/\([^(]*\)$/,"");
t.attributes.x.value = format_percent((parseFloat(r.attributes.x.value) + (100 * 3 / frames.attributes.width.value)));
// Smaller than this size won't fit anything
if (w < 2 * fontsize * fontwidth) {
t.textContent = "";
return;
}
t.textContent = txt;
// Fit in full text width
if (/^ *\$/.test(txt) || t.getComputedTextLength() < w)
return;
if (truncate_text_right) {
// Truncate the right side of the text.
for (var x = txt.length - 2; x > 0; x--) {
if (t.getSubStringLength(0, x + 2) <= w) {
t.textContent = txt.substring(0, x) + "..";
return;
}
}
} else {
// Truncate the left side of the text.
for (var x = 2; x < txt.length; x++) {
if (t.getSubStringLength(x - 2, txt.length) <= w) {
t.textContent = ".." + txt.substring(x, txt.length);
return;
}
}
}
t.textContent = "";
}
// zoom
function zoom_reset(e) {
if (e.attributes != undefined) {
orig_load(e, "x");
orig_load(e, "width");
}
if (e.childNodes == undefined) return;
for(var i = 0, c = e.childNodes; i < c.length; i++) {
zoom_reset(c[i]);
}
}
function zoom_child(e, x, ratio) {
if (e.attributes != undefined) {
if (e.attributes.x != undefined) {
orig_save(e, "x");
e.attributes.x.value = format_percent((parseFloat(e.attributes.x.value) - x) * ratio);
if (e.tagName == "text") {
e.attributes.x.value = format_percent(parseFloat(find_child(e.parentNode, "rect[x]").attributes.x.value) + (100 * 3 / frames.attributes.width.value));
}
}
if (e.attributes.width != undefined) {
orig_save(e, "width");
e.attributes.width.value = format_percent(parseFloat(e.attributes.width.value) * ratio);
}
}
if (e.childNodes == undefined) return;
for(var i = 0, c = e.childNodes; i < c.length; i++) {
zoom_child(c[i], x, ratio);
}
}
function zoom_parent(e) {
if (e.attributes) {
if (e.attributes.x != undefined) {
orig_save(e, "x");
e.attributes.x.value = "0.0%";
}
if (e.attributes.width != undefined) {
orig_save(e, "width");
e.attributes.width.value = "100.0%";
}
}
if (e.childNodes == undefined) return;
for(var i = 0, c = e.childNodes; i < c.length; i++) {
zoom_parent(c[i]);
}
}
function zoom(node) {
var attr = find_child(node, "rect").attributes;
var width = parseFloat(attr.width.value);
var xmin = parseFloat(attr.x.value);
var xmax = xmin + width;
var ymin = parseFloat(attr.y.value);
var ratio = 100 / width;
// XXX: Workaround for JavaScript float issues (fix me)
var fudge = 0.001;
unzoombtn.classList.remove("hide");
var el = frames.children;
for (var i = 0; i < el.length; i++) {
var e = el[i];
var a = find_child(e, "rect").attributes;
var ex = parseFloat(a.x.value);
var ew = parseFloat(a.width.value);
// Is it an ancestor
if (!inverted) {
var upstack = parseFloat(a.y.value) > ymin;
} else {
var upstack = parseFloat(a.y.value) < ymin;
}
if (upstack) {
// Direct ancestor
if (ex <= xmin && (ex+ew+fudge) >= xmax) {
e.classList.add("parent");
zoom_parent(e);
update_text(e);
}
// not in current path
else
e.classList.add("hide");
}
// Children maybe
else {
// no common path
if (ex < xmin || ex + fudge >= xmax) {
e.classList.add("hide");
}
else {
zoom_child(e, xmin, ratio);
update_text(e);
}
}
}
}
function unzoom() {
unzoombtn.classList.add("hide");
var el = frames.children;
for(var i = 0; i < el.length; i++) {
el[i].classList.remove("parent");
el[i].classList.remove("hide");
zoom_reset(el[i]);
update_text(el[i]);
}
}
// search
function reset_search() {
var el = document.querySelectorAll("#frames rect");
for (var i = 0; i < el.length; i++) {
orig_load(el[i], "fill")
}
var params = get_params();
delete params.s;
history.replaceState(null, null, parse_params(params));
}
function search_prompt() {
if (!searching) {
var term = prompt("Enter a search term (regexp " +
"allowed, eg: ^ext4_)", "");
if (term != null) {
search(term)
}
} else {
reset_search();
searching = 0;
searchbtn.classList.remove("show");
searchbtn.firstChild.nodeValue = "Search"
matchedtxt.classList.add("hide");
matchedtxt.firstChild.nodeValue = ""
}
}
function search(term) {
var re = new RegExp(term);
var el = frames.children;
var matches = new Object();
var maxwidth = 0;
for (var i = 0; i < el.length; i++) {
var e = el[i];
var func = g_to_func(e);
var rect = find_child(e, "rect");
if (func == null || rect == null)
continue;
// Save max width. Only works as we have a root frame
var w = parseFloat(rect.attributes.width.value);
if (w > maxwidth)
maxwidth = w;
if (func.match(re)) {
// highlight
var x = parseFloat(rect.attributes.x.value);
orig_save(rect, "fill");
rect.attributes.fill.value = searchcolor;
// remember matches
if (matches[x] == undefined) {
matches[x] = w;
} else {
if (w > matches[x]) {
// overwrite with parent
matches[x] = w;
}
}
searching = 1;
}
}
if (!searching)
return;
var params = get_params();
params.s = term;
history.replaceState(null, null, parse_params(params));
searchbtn.classList.add("show");
searchbtn.firstChild.nodeValue = "Reset Search";
// calculate percent matched, excluding vertical overlap
var count = 0;
var lastx = -1;
var lastw = 0;
var keys = Array();
for (k in matches) {
if (matches.hasOwnProperty(k))
keys.push(k);
}
// sort the matched frames by their x location
// ascending, then width descending
keys.sort(function(a, b){
return a - b;
});
// Step through frames saving only the biggest bottom-up frames
// thanks to the sort order. This relies on the tree property
// where children are always smaller than their parents.
var fudge = 0.0001; // JavaScript floating point
for (var k in keys) {
var x = parseFloat(keys[k]);
var w = matches[keys[k]];
if (x >= lastx + lastw - fudge) {
count += w;
lastx = x;
lastw = w;
}
}
// display matched percent
matchedtxt.classList.remove("hide");
var pct = 100 * count / maxwidth;
if (pct != 100) pct = pct.toFixed(1);
matchedtxt.firstChild.nodeValue = "Matched: " + pct + "%";
}
function format_percent(n) {
return n.toFixed(4) + "%";
}
]]></script><rect x="0" y="0" width="100%" height="662" fill="url(#background)"/><text id="title" x="50.0000%" y="24.00">py-spy</text><text id="details" x="10" y="645.00"> </text><text id="unzoom" class="hide" x="10" y="24.00">Reset Zoom</text><text id="search" x="1090" y="24.00">Search</text><text id="matched" x="1090" y="645.00"> </text><svg id="frames" x="10" width="1180"><g><title>with_timeout (tornado/gen.py:613) (537 samples, 1.34%)</title><rect x="3.6485%" y="372" width="1.3374%" height="15" fill="rgb(227,0,7)"/><text x="3.8985%" y="382.50"></text></g><g><title>wait (tornado/locks.py:252) (855 samples, 2.13%)</title><rect x="3.4542%" y="356" width="2.1293%" height="15" fill="rgb(217,0,24)"/><text x="3.7042%" y="366.50">w..</text></g><g><title>_background_send (distributed/batched.py:77) (909 samples, 2.26%)</title><rect x="3.3421%" y="340" width="2.2638%" height="15" fill="rgb(221,193,54)"/><text x="3.5921%" y="350.50">_..</text></g><g><title>run (tornado/gen.py:775) (1,117 samples, 2.78%)</title><rect x="2.8914%" y="324" width="2.7818%" height="15" fill="rgb(248,212,6)"/><text x="3.1414%" y="334.50">ru..</text></g><g><title>&lt;lambda&gt; (tornado/ioloop.py:688) (1,672 samples, 4.16%)</title><rect x="2.2414%" y="276" width="4.1640%" height="15" fill="rgb(208,68,35)"/><text x="2.4914%" y="286.50">&lt;lamb..</text></g><g><title>_run_callback (tornado/ioloop.py:741) (1,640 samples, 4.08%)</title><rect x="2.3211%" y="292" width="4.0843%" height="15" fill="rgb(232,128,0)"/><text x="2.5711%" y="302.50">_run..</text></g><g><title>inner (tornado/gen.py:814) (1,620 samples, 4.03%)</title><rect x="2.3709%" y="308" width="4.0345%" height="15" fill="rgb(207,160,47)"/><text x="2.6209%" y="318.50">inne..</text></g><g><title>transition_released_forgotten (distributed/scheduler.py:4667) (482 samples, 1.20%)</title><rect x="8.4251%" y="404" width="1.2004%" height="15" fill="rgb(228,23,34)"/><text x="8.6751%" y="414.50"></text></g><g><title>transition (distributed/scheduler.py:4712) (853 samples, 2.12%)</title><rect x="8.2806%" y="388" width="2.1243%" height="15" fill="rgb(218,30,26)"/><text x="8.5306%" y="398.50">t..</text></g><g><title>transitions (distributed/scheduler.py:4784) (1,522 samples, 3.79%)</title><rect x="7.7626%" y="372" width="3.7904%" height="15" fill="rgb(220,122,19)"/><text x="8.0126%" y="382.50">tran..</text></g><g><title>client_releases_keys (distributed/scheduler.py:2375) (1,629 samples, 4.06%)</title><rect x="7.5858%" y="356" width="4.0569%" height="15" fill="rgb(250,228,42)"/><text x="7.8358%" y="366.50">clie..</text></g><g><title>remove_client (distributed/scheduler.py:2604) (1,885 samples, 4.69%)</title><rect x="7.0005%" y="340" width="4.6944%" height="15" fill="rgb(240,193,28)"/><text x="7.2505%" y="350.50">remov..</text></g><g><title>add_client (distributed/scheduler.py:2579) (1,886 samples, 4.70%)</title><rect x="7.0005%" y="324" width="4.6969%" height="15" fill="rgb(216,20,37)"/><text x="7.2505%" y="334.50">add_c..</text></g><g><title>read (distributed/comm/tcp.py:186) (957 samples, 2.38%)</title><rect x="12.1931%" y="372" width="2.3833%" height="15" fill="rgb(206,188,39)"/><text x="12.4431%" y="382.50">re..</text></g><g><title>read_bytes (tornado/iostream.py:426) (552 samples, 1.37%)</title><rect x="13.2017%" y="388" width="1.3747%" height="15" fill="rgb(217,207,13)"/><text x="13.4517%" y="398.50"></text></g><g><title>read (distributed/comm/tcp.py:188) (468 samples, 1.17%)</title><rect x="14.7507%" y="372" width="1.1655%" height="15" fill="rgb(231,73,38)"/><text x="15.0007%" y="382.50"></text></g><g><title>read (distributed/comm/tcp.py:195) (579 samples, 1.44%)</title><rect x="16.3944%" y="372" width="1.4419%" height="15" fill="rgb(225,20,46)"/><text x="16.6444%" y="382.50"></text></g><g><title>loads (distributed/protocol/core.py:127) (1,041 samples, 2.59%)</title><rect x="18.7179%" y="420" width="2.5925%" height="15" fill="rgb(210,31,41)"/><text x="18.9679%" y="430.50">lo..</text></g><g><title>loads_msgpack (distributed/protocol/core.py:222) (943 samples, 2.35%)</title><rect x="18.9620%" y="436" width="2.3485%" height="15" fill="rgb(221,200,47)"/><text x="19.2120%" y="446.50">l..</text></g><g><title>unpackb (msgpack/_cmsgpack.cpython-38-x86_64-linux-gnu.so) (845 samples, 2.10%)</title><rect x="19.2061%" y="452" width="2.1044%" height="15" fill="rgb(226,26,5)"/><text x="19.4561%" y="462.50">u..</text></g><g><title>unpackb [clone .isra.0] (msgpack/_cmsgpack.cpython-38-x86_64-linux-gnu.so) (767 samples, 1.91%)</title><rect x="19.4003%" y="468" width="1.9101%" height="15" fill="rgb(249,33,26)"/><text x="19.6503%" y="478.50">u..</text></g><g><title>unpack_execute&lt;true&gt; (msgpack/_cmsgpack.cpython-38-x86_64-linux-gnu.so) (756 samples, 1.88%)</title><rect x="19.4277%" y="484" width="1.8828%" height="15" fill="rgb(235,183,28)"/><text x="19.6777%" y="494.50">u..</text></g><g><title>_from_frames (distributed/comm/utils.py:65) (1,209 samples, 3.01%)</title><rect x="18.3269%" y="404" width="3.0109%" height="15" fill="rgb(221,5,38)"/><text x="18.5769%" y="414.50">_fr..</text></g><g><title>from_frames (distributed/comm/utils.py:87) (1,237 samples, 3.08%)</title><rect x="18.2597%" y="388" width="3.0806%" height="15" fill="rgb(247,18,42)"/><text x="18.5097%" y="398.50">fro..</text></g><g><title>read (distributed/comm/tcp.py:204) (1,379 samples, 3.43%)</title><rect x="17.9110%" y="372" width="3.4343%" height="15" fill="rgb(241,131,45)"/><text x="18.1610%" y="382.50">rea..</text></g><g><title>handle_stream (distributed/core.py:579) (3,872 samples, 9.64%)</title><rect x="11.7747%" y="356" width="9.6429%" height="15" fill="rgb(249,31,29)"/><text x="12.0247%" y="366.50">handle_stream ..</text></g><g><title>iscoroutinefunction (asyncio/coroutines.py:166) (521 samples, 1.30%)</title><rect x="22.9467%" y="388" width="1.2975%" height="15" fill="rgb(225,111,53)"/><text x="23.1967%" y="398.50"></text></g><g><title>iscoroutinefunction (inspect.py:194) (458 samples, 1.14%)</title><rect x="23.1036%" y="404" width="1.1406%" height="15" fill="rgb(238,160,17)"/><text x="23.3536%" y="414.50"></text></g><g><title>handle_stream (distributed/core.py:593) (980 samples, 2.44%)</title><rect x="22.2269%" y="356" width="2.4406%" height="15" fill="rgb(214,148,48)"/><text x="22.4769%" y="366.50">ha..</text></g><g><title>is_coroutine_function (distributed/utils.py:1387) (940 samples, 2.34%)</title><rect x="22.3265%" y="372" width="2.3410%" height="15" fill="rgb(232,36,49)"/><text x="22.5765%" y="382.50">i..</text></g><g><title>_remove_from_processing (distributed/scheduler.py:3873) (804 samples, 2.00%)</title><rect x="34.1411%" y="436" width="2.0023%" height="15" fill="rgb(209,103,24)"/><text x="34.3911%" y="446.50">_..</text></g><g><title>transition_processing_memory (distributed/scheduler.py:4229) (1,056 samples, 2.63%)</title><rect x="33.6455%" y="420" width="2.6299%" height="15" fill="rgb(229,88,8)"/><text x="33.8955%" y="430.50">tr..</text></g><g><title>_add_to_memory (distributed/scheduler.py:3913) (431 samples, 1.07%)</title><rect x="38.7732%" y="436" width="1.0734%" height="15" fill="rgb(213,181,19)"/><text x="39.0232%" y="446.50"></text></g><g><title>transition_processing_memory (distributed/scheduler.py:4231) (1,711 samples, 4.26%)</title><rect x="36.2753%" y="420" width="4.2611%" height="15" fill="rgb(254,191,54)"/><text x="36.5253%" y="430.50">trans..</text></g><g><title>transition (distributed/scheduler.py:4712) (4,072 samples, 10.14%)</title><rect x="30.4328%" y="404" width="10.1410%" height="15" fill="rgb(241,83,37)"/><text x="30.6828%" y="414.50">transition (dis..</text></g><g><title>transition (distributed/scheduler.py:4751) (498 samples, 1.24%)</title><rect x="41.3085%" y="404" width="1.2402%" height="15" fill="rgb(233,36,39)"/><text x="41.5585%" y="414.50"></text></g><g><title>stimulus_task_finished (distributed/scheduler.py:2089) (5,676 samples, 14.14%)</title><rect x="28.5326%" y="388" width="14.1356%" height="15" fill="rgb(226,3,54)"/><text x="28.7826%" y="398.50">stimulus_task_finishe..</text></g><g><title>handle_task_finished (distributed/scheduler.py:2673) (6,473 samples, 16.12%)</title><rect x="26.7570%" y="372" width="16.1204%" height="15" fill="rgb(245,192,40)"/><text x="27.0070%" y="382.50">handle_task_finished (dis..</text></g><g><title>report (distributed/scheduler.py:2533) (805 samples, 2.00%)</title><rect x="47.8035%" y="436" width="2.0048%" height="15" fill="rgb(238,167,29)"/><text x="48.0535%" y="446.50">r..</text></g><g><title>transition_memory_released (distributed/scheduler.py:4284) (939 samples, 2.34%)</title><rect x="47.4996%" y="420" width="2.3385%" height="15" fill="rgb(232,182,51)"/><text x="47.7496%" y="430.50">t..</text></g><g><title>worker_objective (distributed/scheduler.py:5006) (736 samples, 1.83%)</title><rect x="51.9600%" y="468" width="1.8329%" height="15" fill="rgb(231,60,39)"/><text x="52.2100%" y="478.50">w..</text></g><g><title>&lt;listcomp&gt; (distributed/scheduler.py:5006) (710 samples, 1.77%)</title><rect x="52.0247%" y="484" width="1.7682%" height="15" fill="rgb(208,69,12)"/><text x="52.2747%" y="494.50"></text></g><g><title>decide_worker (distributed/scheduler.py:4030) (1,414 samples, 3.52%)</title><rect x="50.3561%" y="436" width="3.5214%" height="15" fill="rgb(235,93,37)"/><text x="50.6061%" y="446.50">dec..</text></g><g><title>decide_worker (distributed/scheduler.py:5433) (836 samples, 2.08%)</title><rect x="51.7956%" y="452" width="2.0820%" height="15" fill="rgb(213,116,39)"/><text x="52.0456%" y="462.50">d..</text></g><g><title>transition_waiting_processing (distributed/scheduler.py:4071) (1,670 samples, 4.16%)</title><rect x="50.0797%" y="420" width="4.1590%" height="15" fill="rgb(222,207,29)"/><text x="50.3297%" y="430.50">trans..</text></g><g><title>transition_waiting_processing (distributed/scheduler.py:4085) (566 samples, 1.41%)</title><rect x="55.5237%" y="420" width="1.4096%" height="15" fill="rgb(206,96,30)"/><text x="55.7737%" y="430.50"></text></g><g><title>transition_waiting_processing (distributed/scheduler.py:4093) (859 samples, 2.14%)</title><rect x="57.0354%" y="420" width="2.1393%" height="15" fill="rgb(218,138,4)"/><text x="57.2854%" y="430.50">t..</text></g><g><title>transition (distributed/scheduler.py:4712) (5,585 samples, 13.91%)</title><rect x="45.2707%" y="404" width="13.9090%" height="15" fill="rgb(250,191,14)"/><text x="45.5207%" y="414.50">transition (distribut..</text></g><g><title>put_key_in_stealable (distributed/stealing.py:88) (429 samples, 1.07%)</title><rect x="60.8706%" y="436" width="1.0684%" height="15" fill="rgb(239,60,40)"/><text x="61.1206%" y="446.50"></text></g><g><title>transition (distributed/stealing.py:78) (594 samples, 1.48%)</title><rect x="60.7536%" y="420" width="1.4793%" height="15" fill="rgb(206,27,48)"/><text x="61.0036%" y="430.50"></text></g><g><title>transition (distributed/scheduler.py:4751) (835 samples, 2.08%)</title><rect x="60.1933%" y="404" width="2.0795%" height="15" fill="rgb(225,35,8)"/><text x="60.4433%" y="414.50">t..</text></g><g><title>transitions (distributed/scheduler.py:4784) (7,646 samples, 19.04%)</title><rect x="43.4427%" y="388" width="19.0417%" height="15" fill="rgb(250,213,24)"/><text x="43.6927%" y="398.50">transitions (distributed/sched..</text></g><g><title>handle_task_finished (distributed/scheduler.py:2674) (7,954 samples, 19.81%)</title><rect x="42.8774%" y="372" width="19.8087%" height="15" fill="rgb(247,123,22)"/><text x="43.1274%" y="382.50">handle_task_finished (distribut..</text></g><g><title>handle_stream (distributed/core.py:597) (15,478 samples, 38.55%)</title><rect x="24.6675%" y="356" width="38.5466%" height="15" fill="rgb(231,138,38)"/><text x="24.9175%" y="366.50">handle_stream (distributed/core.py:597)</text></g><g><title>add_worker (distributed/scheduler.py:1813) (20,855 samples, 51.94%)</title><rect x="11.7024%" y="324" width="51.9375%" height="15" fill="rgb(231,145,46)"/><text x="11.9524%" y="334.50">add_worker (distributed/scheduler.py:1813)</text></g><g><title>handle_worker (distributed/scheduler.py:2770) (20,845 samples, 51.91%)</title><rect x="11.7273%" y="340" width="51.9126%" height="15" fill="rgb(251,118,11)"/><text x="11.9773%" y="350.50">handle_worker (distributed/scheduler.py:2770)</text></g><g><title>save (_pickle.c:4327) (566 samples, 1.41%)</title><rect x="63.8293%" y="596" width="1.4096%" height="15" fill="rgb(217,147,25)"/><text x="64.0793%" y="606.50"></text></g><g><title>save_set (_pickle.c:3416) (508 samples, 1.27%)</title><rect x="63.9737%" y="612" width="1.2651%" height="15" fill="rgb(247,81,37)"/><text x="64.2237%" y="622.50"></text></g><g><title>_pickle_dumps (_pickle.c.h:619) (588 samples, 1.46%)</title><rect x="63.7869%" y="340" width="1.4644%" height="15" fill="rgb(209,12,38)"/><text x="64.0369%" y="350.50"></text></g><g><title>_pickle_dumps_impl (_pickle.c:7800) (586 samples, 1.46%)</title><rect x="63.7919%" y="356" width="1.4594%" height="15" fill="rgb(227,1,9)"/><text x="64.0419%" y="366.50"></text></g><g><title>dump (_pickle.c:4519) (586 samples, 1.46%)</title><rect x="63.7919%" y="372" width="1.4594%" height="15" fill="rgb(248,47,43)"/><text x="64.0419%" y="382.50"></text></g><g><title>save (_pickle.c:4472) (585 samples, 1.46%)</title><rect x="63.7944%" y="388" width="1.4569%" height="15" fill="rgb(221,10,30)"/><text x="64.0444%" y="398.50"></text></g><g><title>save_reduce (_pickle.c:4193) (584 samples, 1.45%)</title><rect x="63.7969%" y="404" width="1.4544%" height="15" fill="rgb(210,229,1)"/><text x="64.0469%" y="414.50"></text></g><g><title>save (_pickle.c:4339) (584 samples, 1.45%)</title><rect x="63.7969%" y="420" width="1.4544%" height="15" fill="rgb(222,148,37)"/><text x="64.0469%" y="430.50"></text></g><g><title>save_tuple (_pickle.c:2811) (584 samples, 1.45%)</title><rect x="63.7969%" y="436" width="1.4544%" height="15" fill="rgb(234,67,33)"/><text x="64.0469%" y="446.50"></text></g><g><title>store_tuple_elements (_pickle.c:2760) (584 samples, 1.45%)</title><rect x="63.7969%" y="452" width="1.4544%" height="15" fill="rgb(247,98,35)"/><text x="64.0469%" y="462.50"></text></g><g><title>save (_pickle.c:4472) (579 samples, 1.44%)</title><rect x="63.8093%" y="468" width="1.4419%" height="15" fill="rgb(247,138,52)"/><text x="64.0593%" y="478.50"></text></g><g><title>save_reduce (_pickle.c:4229) (578 samples, 1.44%)</title><rect x="63.8118%" y="484" width="1.4395%" height="15" fill="rgb(213,79,30)"/><text x="64.0618%" y="494.50"></text></g><g><title>save (_pickle.c:4339) (578 samples, 1.44%)</title><rect x="63.8118%" y="500" width="1.4395%" height="15" fill="rgb(246,177,23)"/><text x="64.0618%" y="510.50"></text></g><g><title>save_tuple (_pickle.c:2811) (578 samples, 1.44%)</title><rect x="63.8118%" y="516" width="1.4395%" height="15" fill="rgb(230,62,27)"/><text x="64.0618%" y="526.50"></text></g><g><title>store_tuple_elements (_pickle.c:2760) (578 samples, 1.44%)</title><rect x="63.8118%" y="532" width="1.4395%" height="15" fill="rgb(216,154,8)"/><text x="64.0618%" y="542.50"></text></g><g><title>save (_pickle.c:4323) (578 samples, 1.44%)</title><rect x="63.8118%" y="548" width="1.4395%" height="15" fill="rgb(244,35,45)"/><text x="64.0618%" y="558.50"></text></g><g><title>save_dict (_pickle.c:3335) (578 samples, 1.44%)</title><rect x="63.8118%" y="564" width="1.4395%" height="15" fill="rgb(251,115,12)"/><text x="64.0618%" y="574.50"></text></g><g><title>batch_dict_exact (_pickle.c:3281) (577 samples, 1.44%)</title><rect x="63.8143%" y="580" width="1.4370%" height="15" fill="rgb(240,54,50)"/><text x="64.0643%" y="590.50"></text></g><g><title>remove_worker (distributed/scheduler.py:2259) (667 samples, 1.66%)</title><rect x="63.6873%" y="324" width="1.6611%" height="15" fill="rgb(233,84,52)"/><text x="63.9373%" y="334.50"></text></g><g><title>remove_worker (distributed/scheduler.py:2260) (414 samples, 1.03%)</title><rect x="65.3484%" y="324" width="1.0310%" height="15" fill="rgb(207,117,47)"/><text x="65.5984%" y="334.50"></text></g><g><title>clean (distributed/scheduler.py:338) (406 samples, 1.01%)</title><rect x="65.3683%" y="340" width="1.0111%" height="15" fill="rgb(249,43,39)"/><text x="65.6183%" y="350.50"></text></g><g><title>&lt;setcomp&gt; (distributed/scheduler.py:338) (404 samples, 1.01%)</title><rect x="65.3733%" y="356" width="1.0061%" height="15" fill="rgb(209,38,44)"/><text x="65.6233%" y="366.50"></text></g><g><title>transition (distributed/scheduler.py:4712) (1,235 samples, 3.08%)</title><rect x="68.3145%" y="356" width="3.0757%" height="15" fill="rgb(236,212,23)"/><text x="68.5645%" y="366.50">tra..</text></g><g><title>transitions (distributed/scheduler.py:4784) (2,630 samples, 6.55%)</title><rect x="66.7306%" y="340" width="6.5498%" height="15" fill="rgb(242,79,21)"/><text x="66.9806%" y="350.50">transitio..</text></g><g><title>remove_worker (distributed/scheduler.py:2274) (2,785 samples, 6.94%)</title><rect x="66.4691%" y="324" width="6.9358%" height="15" fill="rgb(211,96,35)"/><text x="66.7191%" y="334.50">remove_wo..</text></g><g><title>_extract_serialize (distributed/protocol/serialize.py:441) (513 samples, 1.28%)</title><rect x="75.2055%" y="420" width="1.2776%" height="15" fill="rgb(253,215,40)"/><text x="75.4555%" y="430.50"></text></g><g><title>extract_serialize (distributed/protocol/serialize.py:418) (1,178 samples, 2.93%)</title><rect x="73.9279%" y="388" width="2.9337%" height="15" fill="rgb(211,81,21)"/><text x="74.1779%" y="398.50">ex..</text></g><g><title>_extract_serialize (distributed/protocol/serialize.py:453) (1,081 samples, 2.69%)</title><rect x="74.1694%" y="404" width="2.6921%" height="15" fill="rgb(208,190,38)"/><text x="74.4194%" y="414.50">_e..</text></g><g><title>__Pyx_PyFunction_FastCallDict.constprop.66 (cytoolz/dicttoolz.cpython-38-x86_64-linux-gnu.so) (403 samples, 1.00%)</title><rect x="77.1953%" y="468" width="1.0036%" height="15" fill="rgb(235,213,38)"/><text x="77.4453%" y="478.50"></text></g><g><title>extract_serialize (distributed/protocol/serialize.py:420) (578 samples, 1.44%)</title><rect x="76.8616%" y="388" width="1.4395%" height="15" fill="rgb(237,122,38)"/><text x="77.1116%" y="398.50"></text></g><g><title>container_copy (distributed/protocol/serialize.py:398) (574 samples, 1.43%)</title><rect x="76.8715%" y="404" width="1.4295%" height="15" fill="rgb(244,218,35)"/><text x="77.1215%" y="414.50"></text></g><g><title>container_copy (distributed/protocol/serialize.py:400) (525 samples, 1.31%)</title><rect x="76.9936%" y="420" width="1.3075%" height="15" fill="rgb(240,68,47)"/><text x="77.2436%" y="430.50"></text></g><g><title>valmap (cytoolz/dicttoolz.cpython-38-x86_64-linux-gnu.so) (505 samples, 1.26%)</title><rect x="77.0434%" y="436" width="1.2577%" height="15" fill="rgb(210,16,53)"/><text x="77.2934%" y="446.50"></text></g><g><title>dicttoolz_valmap (cytoolz/dicttoolz.cpython-38-x86_64-linux-gnu.so) (504 samples, 1.26%)</title><rect x="77.0459%" y="452" width="1.2552%" height="15" fill="rgb(235,124,12)"/><text x="77.2959%" y="462.50"></text></g><g><title>dumps (distributed/protocol/core.py:38) (1,783 samples, 4.44%)</title><rect x="73.9154%" y="372" width="4.4404%" height="15" fill="rgb(224,169,11)"/><text x="74.1654%" y="382.50">dumps..</text></g><g><title>Packer__pack (msgpack/_cmsgpack.cpython-38-x86_64-linux-gnu.so) (412 samples, 1.03%)</title><rect x="78.7194%" y="468" width="1.0260%" height="15" fill="rgb(250,166,2)"/><text x="78.9694%" y="478.50"></text></g><g><title>Packer__pack (msgpack/_cmsgpack.cpython-38-x86_64-linux-gnu.so) (435 samples, 1.08%)</title><rect x="78.6696%" y="452" width="1.0833%" height="15" fill="rgb(242,216,29)"/><text x="78.9196%" y="462.50"></text></g><g><title>dumps_msgpack (distributed/protocol/core.py:184) (556 samples, 1.38%)</title><rect x="78.3782%" y="388" width="1.3847%" height="15" fill="rgb(230,116,27)"/><text x="78.6282%" y="398.50"></text></g><g><title>packb (msgpack/__init__.py:35) (546 samples, 1.36%)</title><rect x="78.4031%" y="404" width="1.3598%" height="15" fill="rgb(228,99,48)"/><text x="78.6531%" y="414.50"></text></g><g><title>pack (msgpack/_cmsgpack.cpython-38-x86_64-linux-gnu.so) (507 samples, 1.26%)</title><rect x="78.5003%" y="420" width="1.2626%" height="15" fill="rgb(253,11,6)"/><text x="78.7503%" y="430.50"></text></g><g><title>Packer_pack (msgpack/_cmsgpack.cpython-38-x86_64-linux-gnu.so) (507 samples, 1.26%)</title><rect x="78.5003%" y="436" width="1.2626%" height="15" fill="rgb(247,143,39)"/><text x="78.7503%" y="446.50"></text></g><g><title>dumps (distributed/protocol/core.py:39) (580 samples, 1.44%)</title><rect x="78.3558%" y="372" width="1.4444%" height="15" fill="rgb(236,97,10)"/><text x="78.6058%" y="382.50"></text></g><g><title>write (distributed/comm/tcp.py:222) (2,609 samples, 6.50%)</title><rect x="73.4323%" y="324" width="6.4975%" height="15" fill="rgb(233,208,19)"/><text x="73.6823%" y="334.50">write (di..</text></g><g><title>to_frames (distributed/comm/utils.py:54) (2,571 samples, 6.40%)</title><rect x="73.5269%" y="340" width="6.4028%" height="15" fill="rgb(216,164,2)"/><text x="73.7769%" y="350.50">to_frame..</text></g><g><title>_to_frames (distributed/comm/utils.py:34) (2,557 samples, 6.37%)</title><rect x="73.5618%" y="356" width="6.3680%" height="15" fill="rgb(220,129,5)"/><text x="73.8118%" y="366.50">_to_fram..</text></g><g><title>write (tornado/iostream.py:544) (442 samples, 1.10%)</title><rect x="80.5598%" y="340" width="1.1008%" height="15" fill="rgb(242,17,10)"/><text x="80.8098%" y="350.50"></text></g><g><title>write (distributed/comm/tcp.py:241) (575 samples, 1.43%)</title><rect x="80.2759%" y="324" width="1.4320%" height="15" fill="rgb(242,107,0)"/><text x="80.5259%" y="334.50"></text></g><g><title>task_step_impl (_asynciomodule.c:2641) (30,197 samples, 75.20%)</title><rect x="6.7814%" y="308" width="75.2030%" height="15" fill="rgb(251,28,31)"/><text x="7.0314%" y="318.50">task_step_impl (_asynciomodule.c:2641)</text></g><g><title>task_step (_asynciomodule.c:2934) (30,545 samples, 76.07%)</title><rect x="6.7739%" y="292" width="76.0696%" height="15" fill="rgb(233,223,10)"/><text x="7.0239%" y="302.50">task_step (_asynciomodule.c:2934)</text></g><g><title>TaskStepMethWrapper_call (_asynciomodule.c:1715) (30,597 samples, 76.20%)</title><rect x="6.7067%" y="276" width="76.1991%" height="15" fill="rgb(215,21,27)"/><text x="6.9567%" y="286.50">TaskStepMethWrapper_call (_asynciomodule.c:1715)</text></g><g><title>_handle_stream (distributed/comm/tcp.py:461) (865 samples, 2.15%)</title><rect x="82.9706%" y="340" width="2.1542%" height="15" fill="rgb(232,23,21)"/><text x="83.2206%" y="350.50">_..</text></g><g><title>loads (distributed/protocol/core.py:127) (456 samples, 1.14%)</title><rect x="85.7399%" y="420" width="1.1356%" height="15" fill="rgb(244,5,23)"/><text x="85.9899%" y="430.50"></text></g><g><title>loads_msgpack (distributed/protocol/core.py:222) (456 samples, 1.14%)</title><rect x="85.7399%" y="436" width="1.1356%" height="15" fill="rgb(226,81,46)"/><text x="85.9899%" y="446.50"></text></g><g><title>unpackb (msgpack/_cmsgpack.cpython-38-x86_64-linux-gnu.so) (456 samples, 1.14%)</title><rect x="85.7399%" y="452" width="1.1356%" height="15" fill="rgb(247,70,30)"/><text x="85.9899%" y="462.50"></text></g><g><title>unpackb [clone .isra.0] (msgpack/_cmsgpack.cpython-38-x86_64-linux-gnu.so) (456 samples, 1.14%)</title><rect x="85.7399%" y="468" width="1.1356%" height="15" fill="rgb(212,68,19)"/><text x="85.9899%" y="478.50"></text></g><g><title>unpack_execute&lt;true&gt; (msgpack/_cmsgpack.cpython-38-x86_64-linux-gnu.so) (456 samples, 1.14%)</title><rect x="85.7399%" y="484" width="1.1356%" height="15" fill="rgb(240,187,13)"/><text x="85.9899%" y="494.50"></text></g><g><title>handle_stream (distributed/core.py:579) (795 samples, 1.98%)</title><rect x="85.1248%" y="356" width="1.9799%" height="15" fill="rgb(223,113,26)"/><text x="85.3748%" y="366.50">h..</text></g><g><title>read (distributed/comm/tcp.py:204) (549 samples, 1.37%)</title><rect x="85.7374%" y="372" width="1.3672%" height="15" fill="rgb(206,192,2)"/><text x="85.9874%" y="382.50"></text></g><g><title>from_frames (distributed/comm/utils.py:87) (549 samples, 1.37%)</title><rect x="85.7374%" y="388" width="1.3672%" height="15" fill="rgb(241,108,4)"/><text x="85.9874%" y="398.50"></text></g><g><title>_from_frames (distributed/comm/utils.py:65) (549 samples, 1.37%)</title><rect x="85.7374%" y="404" width="1.3672%" height="15" fill="rgb(247,173,49)"/><text x="85.9874%" y="414.50"></text></g><g><title>new_task (distributed/scheduler.py:2059) (411 samples, 1.02%)</title><rect x="88.5715%" y="388" width="1.0236%" height="15" fill="rgb(224,114,35)"/><text x="88.8215%" y="398.50"></text></g><g><title>key_split (distributed/utils.py:602) (696 samples, 1.73%)</title><rect x="89.9910%" y="404" width="1.7333%" height="15" fill="rgb(245,159,27)"/><text x="90.2410%" y="414.50"></text></g><g><title>new_task (distributed/scheduler.py:2061) (913 samples, 2.27%)</title><rect x="89.6100%" y="388" width="2.2737%" height="15" fill="rgb(245,172,44)"/><text x="89.8600%" y="398.50">n..</text></g><g><title>update_graph (distributed/scheduler.py:1915) (1,536 samples, 3.83%)</title><rect x="88.3573%" y="372" width="3.8253%" height="15" fill="rgb(236,23,11)"/><text x="88.6073%" y="382.50">upda..</text></g><g><title>transition (distributed/scheduler.py:4712) (642 samples, 1.60%)</title><rect x="95.7962%" y="404" width="1.5988%" height="15" fill="rgb(205,117,38)"/><text x="96.0462%" y="414.50"></text></g><g><title>transitions (distributed/scheduler.py:4784) (1,149 samples, 2.86%)</title><rect x="95.2408%" y="388" width="2.8615%" height="15" fill="rgb(237,72,25)"/><text x="95.4908%" y="398.50">tr..</text></g><g><title>update_graph (distributed/scheduler.py:2045) (1,265 samples, 3.15%)</title><rect x="94.9993%" y="372" width="3.1504%" height="15" fill="rgb(244,70,9)"/><text x="95.2493%" y="382.50">upd..</text></g><g><title>add_client (distributed/scheduler.py:2577) (5,306 samples, 13.21%)</title><rect x="85.1248%" y="340" width="13.2141%" height="15" fill="rgb(217,125,39)"/><text x="85.3748%" y="350.50">add_client (distribu..</text></g><g><title>handle_stream (distributed/core.py:597) (4,511 samples, 11.23%)</title><rect x="87.1046%" y="356" width="11.2342%" height="15" fill="rgb(235,36,10)"/><text x="87.3546%" y="366.50">handle_stream (di..</text></g><g><title>task_step_impl (_asynciomodule.c:2641) (6,234 samples, 15.53%)</title><rect x="82.9257%" y="324" width="15.5252%" height="15" fill="rgb(251,123,47)"/><text x="83.1757%" y="334.50">task_step_impl (_asyncio..</text></g><g><title>task_step (_asynciomodule.c:2934) (6,235 samples, 15.53%)</title><rect x="82.9257%" y="308" width="15.5277%" height="15" fill="rgb(221,13,13)"/><text x="83.1757%" y="318.50">task_step (_asynciomodul..</text></g><g><title>TaskWakeupMethWrapper_call (_asynciomodule.c:1791) (6,240 samples, 15.54%)</title><rect x="82.9183%" y="276" width="15.5402%" height="15" fill="rgb(238,131,9)"/><text x="83.1683%" y="286.50">TaskWakeupMethWrapper_ca..</text></g><g><title>task_wakeup (_asynciomodule.c:2971) (6,240 samples, 15.54%)</title><rect x="82.9183%" y="292" width="15.5402%" height="15" fill="rgb(211,50,8)"/><text x="83.1683%" y="302.50">task_wakeup (_asynciomod..</text></g><g><title>_run (asyncio/events.py:81) (39,509 samples, 98.39%)</title><rect x="1.5665%" y="260" width="98.3937%" height="15" fill="rgb(245,182,24)"/><text x="1.8165%" y="270.50">_run (asyncio/events.py:81)</text></g><g><title>_run_module_as_main (runpy.py:194) (40,058 samples, 99.76%)</title><rect x="0.2316%" y="52" width="99.7609%" height="15" fill="rgb(242,14,37)"/><text x="0.4816%" y="62.50">_run_module_as_main (runpy.py:194)</text></g><g><title>_run_code (runpy.py:87) (40,058 samples, 99.76%)</title><rect x="0.2316%" y="68" width="99.7609%" height="15" fill="rgb(246,228,12)"/><text x="0.4816%" y="78.50">_run_code (runpy.py:87)</text></g><g><title>&lt;module&gt; (distributed/cli/dask_scheduler.py:230) (40,058 samples, 99.76%)</title><rect x="0.2316%" y="84" width="99.7609%" height="15" fill="rgb(213,55,15)"/><text x="0.4816%" y="94.50">&lt;module&gt; (distributed/cli/dask_scheduler.py:230)</text></g><g><title>go (distributed/cli/dask_scheduler.py:226) (40,058 samples, 99.76%)</title><rect x="0.2316%" y="100" width="99.7609%" height="15" fill="rgb(209,9,3)"/><text x="0.4816%" y="110.50">go (distributed/cli/dask_scheduler.py:226)</text></g><g><title>__call__ (click/core.py:829) (40,058 samples, 99.76%)</title><rect x="0.2316%" y="116" width="99.7609%" height="15" fill="rgb(230,59,30)"/><text x="0.4816%" y="126.50">__call__ (click/core.py:829)</text></g><g><title>main (click/core.py:782) (40,058 samples, 99.76%)</title><rect x="0.2316%" y="132" width="99.7609%" height="15" fill="rgb(209,121,21)"/><text x="0.4816%" y="142.50">main (click/core.py:782)</text></g><g><title>invoke (click/core.py:1066) (40,058 samples, 99.76%)</title><rect x="0.2316%" y="148" width="99.7609%" height="15" fill="rgb(220,109,13)"/><text x="0.4816%" y="158.50">invoke (click/core.py:1066)</text></g><g><title>invoke (click/core.py:610) (40,058 samples, 99.76%)</title><rect x="0.2316%" y="164" width="99.7609%" height="15" fill="rgb(232,18,1)"/><text x="0.4816%" y="174.50">invoke (click/core.py:610)</text></g><g><title>main (distributed/cli/dask_scheduler.py:217) (40,057 samples, 99.76%)</title><rect x="0.2341%" y="180" width="99.7584%" height="15" fill="rgb(215,41,42)"/><text x="0.4841%" y="190.50">main (distributed/cli/dask_scheduler.py:217)</text></g><g><title>run_sync (tornado/ioloop.py:524) (40,057 samples, 99.76%)</title><rect x="0.2341%" y="196" width="99.7584%" height="15" fill="rgb(224,123,36)"/><text x="0.4841%" y="206.50">run_sync (tornado/ioloop.py:524)</text></g><g><title>start (tornado/platform/asyncio.py:199) (40,057 samples, 99.76%)</title><rect x="0.2341%" y="212" width="99.7584%" height="15" fill="rgb(240,125,3)"/><text x="0.4841%" y="222.50">start (tornado/platform/asyncio.py:199)</text></g><g><title>run_forever (asyncio/base_events.py:570) (40,057 samples, 99.76%)</title><rect x="0.2341%" y="228" width="99.7584%" height="15" fill="rgb(205,98,50)"/><text x="0.4841%" y="238.50">run_forever (asyncio/base_events.py:570)</text></g><g><title>_run_once (asyncio/base_events.py:1859) (39,821 samples, 99.17%)</title><rect x="0.8218%" y="244" width="99.1707%" height="15" fill="rgb(205,185,37)"/><text x="1.0718%" y="254.50">_run_once (asyncio/base_events.py:1859)</text></g><g><title>all (40,154 samples, 100%)</title><rect x="0.0000%" y="36" width="100.0000%" height="15" fill="rgb(238,207,15)"/><text x="0.2500%" y="46.50"></text></g></svg></svg>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment