491 lines
104 KiB
XML
491 lines
104 KiB
XML
<?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="934" onload="init(evt)" viewBox="0 0 1200 934" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:fg="http://github.com/jonhoo/inferno"><!--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">
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text { font-family:monospace; font-size:12px }
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#title { text-anchor:middle; font-size:17px; }
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#matched { text-anchor:end; }
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#search { text-anchor:end; opacity:0.1; cursor:pointer; }
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#search:hover, #search.show { opacity:1; }
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#subtitle { text-anchor:middle; font-color:rgb(160,160,160); }
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#unzoom { cursor:pointer; }
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#frames > *:hover { stroke:black; stroke-width:0.5; cursor:pointer; }
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.hide { display:none; }
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.parent { opacity:0.5; }
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</style><script type="text/ecmascript"><![CDATA[
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var nametype = 'Function:';
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var fontsize = 12;
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var fontwidth = 0.59;
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var xpad = 10;
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var inverted = false;
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var searchcolor = 'rgb(230,0,230)';
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var fluiddrawing = true;
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var truncate_text_right = false;
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]]><![CDATA["use strict";
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var details, searchbtn, unzoombtn, matchedtxt, svg, searching, frames, known_font_width;
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function init(evt) {
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details = document.getElementById("details").firstChild;
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searchbtn = document.getElementById("search");
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unzoombtn = document.getElementById("unzoom");
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matchedtxt = document.getElementById("matched");
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svg = document.getElementsByTagName("svg")[0];
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frames = document.getElementById("frames");
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known_font_width = get_monospace_width(frames);
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total_samples = parseInt(frames.attributes.total_samples.value);
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searching = 0;
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// Use GET parameters to restore a flamegraph's state.
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var restore_state = function() {
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var params = get_params();
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if (params.x && params.y)
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zoom(find_group(document.querySelector('[*|x="' + params.x + '"][y="' + params.y + '"]')));
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if (params.s)
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search(params.s);
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};
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if (fluiddrawing) {
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// Make width dynamic so the SVG fits its parent's width.
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svg.removeAttribute("width");
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// Edge requires us to have a viewBox that gets updated with size changes.
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var isEdge = /Edge\/\d./i.test(navigator.userAgent);
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if (!isEdge) {
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svg.removeAttribute("viewBox");
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}
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var update_for_width_change = function() {
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if (isEdge) {
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svg.attributes.viewBox.value = "0 0 " + svg.width.baseVal.value + " " + svg.height.baseVal.value;
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}
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// Keep consistent padding on left and right of frames container.
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frames.attributes.width.value = svg.width.baseVal.value - xpad * 2;
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// Text truncation needs to be adjusted for the current width.
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update_text_for_elements(frames.children);
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// Keep search elements at a fixed distance from right edge.
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var svgWidth = svg.width.baseVal.value;
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searchbtn.attributes.x.value = svgWidth - xpad;
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matchedtxt.attributes.x.value = svgWidth - xpad;
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};
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window.addEventListener('resize', function() {
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update_for_width_change();
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});
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// This needs to be done asynchronously for Safari to work.
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setTimeout(function() {
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unzoom();
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update_for_width_change();
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restore_state();
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}, 0);
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} else {
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restore_state();
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}
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}
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// event listeners
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window.addEventListener("click", function(e) {
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var target = find_group(e.target);
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if (target) {
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if (target.nodeName == "a") {
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if (e.ctrlKey === false) return;
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e.preventDefault();
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}
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if (target.classList.contains("parent")) unzoom();
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zoom(target);
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// set parameters for zoom state
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var el = target.querySelector("rect");
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if (el && el.attributes && el.attributes.y && el.attributes["fg:x"]) {
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var params = get_params()
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params.x = el.attributes["fg:x"].value;
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params.y = el.attributes.y.value;
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history.replaceState(null, null, parse_params(params));
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}
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}
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else if (e.target.id == "unzoom") {
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unzoom();
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// remove zoom state
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var params = get_params();
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if (params.x) delete params.x;
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if (params.y) delete params.y;
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history.replaceState(null, null, parse_params(params));
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}
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else if (e.target.id == "search") search_prompt();
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}, false)
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// mouse-over for info
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// show
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window.addEventListener("mouseover", function(e) {
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var target = find_group(e.target);
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if (target) details.nodeValue = nametype + " " + g_to_text(target);
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}, false)
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// clear
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window.addEventListener("mouseout", function(e) {
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var target = find_group(e.target);
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if (target) details.nodeValue = ' ';
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}, false)
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// ctrl-F for search
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window.addEventListener("keydown",function (e) {
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if (e.keyCode === 114 || (e.ctrlKey && e.keyCode === 70)) {
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e.preventDefault();
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search_prompt();
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}
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}, false)
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// functions
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function get_params() {
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var params = {};
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var paramsarr = window.location.search.substr(1).split('&');
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for (var i = 0; i < paramsarr.length; ++i) {
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var tmp = paramsarr[i].split("=");
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if (!tmp[0] || !tmp[1]) continue;
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params[tmp[0]] = decodeURIComponent(tmp[1]);
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}
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return params;
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}
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function parse_params(params) {
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var uri = "?";
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for (var key in params) {
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uri += key + '=' + encodeURIComponent(params[key]) + '&';
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}
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if (uri.slice(-1) == "&")
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uri = uri.substring(0, uri.length - 1);
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if (uri == '?')
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uri = window.location.href.split('?')[0];
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return uri;
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}
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function find_child(node, selector) {
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var children = node.querySelectorAll(selector);
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if (children.length) return children[0];
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return;
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}
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function find_group(node) {
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var parent = node.parentElement;
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if (!parent) return;
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if (parent.id == "frames") return node;
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return find_group(parent);
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}
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function orig_save(e, attr, val) {
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if (e.attributes["fg:orig_" + attr] != undefined) return;
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if (e.attributes[attr] == undefined) return;
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if (val == undefined) val = e.attributes[attr].value;
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e.setAttribute("fg:orig_" + attr, val);
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}
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function orig_load(e, attr) {
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if (e.attributes["fg:orig_"+attr] == undefined) return;
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e.attributes[attr].value = e.attributes["fg:orig_" + attr].value;
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e.removeAttribute("fg:orig_" + attr);
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}
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function g_to_text(e) {
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var text = find_child(e, "title").firstChild.nodeValue;
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return (text)
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}
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function g_to_func(e) {
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var func = g_to_text(e);
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// if there's any manipulation we want to do to the function
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// name before it's searched, do it here before returning.
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return (func);
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}
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function get_monospace_width(frames) {
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// Given the id="frames" element, return the width of text characters if
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// this is a monospace font, otherwise return 0.
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text = find_child(frames.children[0], "text");
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originalContent = text.textContent;
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text.textContent = "!";
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bangWidth = text.getComputedTextLength();
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text.textContent = "W";
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wWidth = text.getComputedTextLength();
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text.textContent = originalContent;
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if (bangWidth === wWidth) {
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return bangWidth;
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} else {
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return 0;
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}
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}
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function update_text_for_elements(elements) {
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// In order to render quickly in the browser, you want to do one pass of
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// reading attributes, and one pass of mutating attributes. See
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// https://web.dev/avoid-large-complex-layouts-and-layout-thrashing/ for details.
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// Fall back to inefficient calculation, if we're variable-width font.
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// TODO This should be optimized somehow too.
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if (known_font_width === 0) {
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for (var i = 0; i < elements.length; i++) {
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update_text(elements[i]);
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}
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return;
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}
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var textElemNewAttributes = [];
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for (var i = 0; i < elements.length; i++) {
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var e = elements[i];
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var r = find_child(e, "rect");
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var t = find_child(e, "text");
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var w = parseFloat(r.attributes.width.value) * frames.attributes.width.value / 100 - 3;
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var txt = find_child(e, "title").textContent.replace(/\([^(]*\)$/,"");
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var newX = format_percent((parseFloat(r.attributes.x.value) + (100 * 3 / frames.attributes.width.value)));
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// Smaller than this size won't fit anything
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if (w < 2 * known_font_width) {
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textElemNewAttributes.push([newX, ""]);
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continue;
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}
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// Fit in full text width
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if (txt.length * known_font_width < w) {
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textElemNewAttributes.push([newX, txt]);
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continue;
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}
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var substringLength = Math.floor(w / known_font_width) - 2;
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if (truncate_text_right) {
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// Truncate the right side of the text.
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textElemNewAttributes.push([newX, txt.substring(0, substringLength) + ".."]);
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continue;
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} else {
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// Truncate the left side of the text.
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textElemNewAttributes.push([newX, ".." + txt.substring(txt.length - substringLength, txt.length)]);
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continue;
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}
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}
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console.assert(textElemNewAttributes.length === elements.length, "Resize failed, please file a bug at https://github.com/jonhoo/inferno/");
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// Now that we know new textContent, set it all in one go so we don't refresh a bazillion times.
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for (var i = 0; i < elements.length; i++) {
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var e = elements[i];
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var values = textElemNewAttributes[i];
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var t = find_child(e, "text");
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t.attributes.x.value = values[0];
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t.textContent = values[1];
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}
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}
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function update_text(e) {
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var r = find_child(e, "rect");
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var t = find_child(e, "text");
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var w = parseFloat(r.attributes.width.value) * frames.attributes.width.value / 100 - 3;
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var txt = find_child(e, "title").textContent.replace(/\([^(]*\)$/,"");
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t.attributes.x.value = format_percent((parseFloat(r.attributes.x.value) + (100 * 3 / frames.attributes.width.value)));
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// Smaller than this size won't fit anything
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if (w < 2 * fontsize * fontwidth) {
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t.textContent = "";
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return;
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}
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t.textContent = txt;
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// Fit in full text width
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if (t.getComputedTextLength() < w)
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return;
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if (truncate_text_right) {
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// Truncate the right side of the text.
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for (var x = txt.length - 2; x > 0; x--) {
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if (t.getSubStringLength(0, x + 2) <= w) {
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t.textContent = txt.substring(0, x) + "..";
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return;
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}
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}
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} else {
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// Truncate the left side of the text.
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for (var x = 2; x < txt.length; x++) {
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if (t.getSubStringLength(x - 2, txt.length) <= w) {
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t.textContent = ".." + txt.substring(x, txt.length);
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return;
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}
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}
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}
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t.textContent = "";
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}
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// zoom
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function zoom_reset(e) {
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if (e.tagName == "rect") {
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e.attributes.x.value = format_percent(100 * parseInt(e.attributes["fg:x"].value) / total_samples);
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e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / total_samples);
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}
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if (e.childNodes == undefined) return;
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for(var i = 0, c = e.childNodes; i < c.length; i++) {
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zoom_reset(c[i]);
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}
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}
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function zoom_child(e, x, zoomed_width_samples) {
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if (e.tagName == "text") {
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var parent_x = parseFloat(find_child(e.parentNode, "rect[x]").attributes.x.value);
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e.attributes.x.value = format_percent(parent_x + (100 * 3 / frames.attributes.width.value));
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} else if (e.tagName == "rect") {
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e.attributes.x.value = format_percent(100 * (parseInt(e.attributes["fg:x"].value) - x) / zoomed_width_samples);
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e.attributes.width.value = format_percent(100 * parseInt(e.attributes["fg:w"].value) / zoomed_width_samples);
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}
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if (e.childNodes == undefined) return;
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for(var i = 0, c = e.childNodes; i < c.length; i++) {
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zoom_child(c[i], x, zoomed_width_samples);
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}
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}
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function zoom_parent(e) {
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if (e.attributes) {
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if (e.attributes.x != undefined) {
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e.attributes.x.value = "0.0%";
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}
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if (e.attributes.width != undefined) {
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e.attributes.width.value = "100.0%";
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}
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}
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if (e.childNodes == undefined) return;
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for(var i = 0, c = e.childNodes; i < c.length; i++) {
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zoom_parent(c[i]);
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}
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}
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function zoom(node) {
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var attr = find_child(node, "rect").attributes;
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var width = parseInt(attr["fg:w"].value);
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var xmin = parseInt(attr["fg:x"].value);
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var xmax = xmin + width;
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var ymin = parseFloat(attr.y.value);
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unzoombtn.classList.remove("hide");
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var el = frames.children;
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var to_update_text = [];
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for (var i = 0; i < el.length; i++) {
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var e = el[i];
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var a = find_child(e, "rect").attributes;
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var ex = parseInt(a["fg:x"].value);
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var ew = parseInt(a["fg:w"].value);
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// Is it an ancestor
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if (!inverted) {
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var upstack = parseFloat(a.y.value) > ymin;
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} else {
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var upstack = parseFloat(a.y.value) < ymin;
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}
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if (upstack) {
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// Direct ancestor
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if (ex <= xmin && (ex+ew) >= xmax) {
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e.classList.add("parent");
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zoom_parent(e);
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to_update_text.push(e);
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}
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// not in current path
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else
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e.classList.add("hide");
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}
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// Children maybe
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else {
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// no common path
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if (ex < xmin || ex >= xmax) {
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e.classList.add("hide");
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}
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else {
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zoom_child(e, xmin, width);
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to_update_text.push(e);
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}
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}
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}
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update_text_for_elements(to_update_text);
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}
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function unzoom() {
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unzoombtn.classList.add("hide");
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var el = frames.children;
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for(var i = 0; i < el.length; i++) {
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el[i].classList.remove("parent");
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el[i].classList.remove("hide");
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zoom_reset(el[i]);
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}
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update_text_for_elements(el);
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}
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// search
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function reset_search() {
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var el = document.querySelectorAll("#frames rect");
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for (var i = 0; i < el.length; i++) {
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orig_load(el[i], "fill")
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}
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var params = get_params();
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delete params.s;
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history.replaceState(null, null, parse_params(params));
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}
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function search_prompt() {
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if (!searching) {
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var term = prompt("Enter a search term (regexp " +
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"allowed, eg: ^ext4_)", "");
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if (term != null) {
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search(term)
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}
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} else {
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reset_search();
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searching = 0;
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searchbtn.classList.remove("show");
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searchbtn.firstChild.nodeValue = "Search"
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matchedtxt.classList.add("hide");
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matchedtxt.firstChild.nodeValue = ""
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}
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}
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function search(term) {
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var re = new RegExp(term);
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var el = frames.children;
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var matches = new Object();
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var maxwidth = 0;
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for (var i = 0; i < el.length; i++) {
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var e = el[i];
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// Skip over frames which are either not visible, or below the zoomed-to frame
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if (e.classList.contains("hide") || e.classList.contains("parent")) {
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continue;
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}
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var func = g_to_func(e);
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var rect = find_child(e, "rect");
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if (func == null || rect == null)
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continue;
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// Save max width. Only works as we have a root frame
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var w = parseInt(rect.attributes["fg:w"].value);
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if (w > maxwidth)
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maxwidth = w;
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if (func.match(re)) {
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// highlight
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var x = parseInt(rect.attributes["fg:x"].value);
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orig_save(rect, "fill");
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rect.attributes.fill.value = searchcolor;
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// remember matches
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if (matches[x] == undefined) {
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matches[x] = w;
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} else {
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if (w > matches[x]) {
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// overwrite with parent
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matches[x] = w;
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}
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}
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searching = 1;
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}
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}
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if (!searching)
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return;
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var params = get_params();
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params.s = term;
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history.replaceState(null, null, parse_params(params));
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searchbtn.classList.add("show");
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searchbtn.firstChild.nodeValue = "Reset Search";
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// calculate percent matched, excluding vertical overlap
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var count = 0;
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var lastx = -1;
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var lastw = 0;
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var keys = Array();
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for (k in matches) {
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if (matches.hasOwnProperty(k))
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keys.push(k);
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}
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// sort the matched frames by their x location
|
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// ascending, then width descending
|
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keys.sort(function(a, b){
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return a - b;
|
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});
|
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// Step through frames saving only the biggest bottom-up frames
|
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// thanks to the sort order. This relies on the tree property
|
|
// where children are always smaller than their parents.
|
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for (var k in keys) {
|
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var x = parseInt(keys[k]);
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var w = matches[keys[k]];
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if (x >= lastx + lastw) {
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count += w;
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lastx = x;
|
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lastw = w;
|
|
}
|
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}
|
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// display matched percent
|
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matchedtxt.classList.remove("hide");
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var pct = 100 * count / maxwidth;
|
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if (pct != 100) pct = pct.toFixed(1);
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matchedtxt.firstChild.nodeValue = "Matched: " + pct + "%";
|
|
}
|
|
function format_percent(n) {
|
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return n.toFixed(4) + "%";
|
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}
|
|
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fill="rgb(238,160,17)" fg:x="19" fg:w="1"/><text x="2.0391%" y="623.50"></text></g><g><title>__cos_fma (1 samples, 0.09%)</title><rect x="1.8832%" y="837" width="0.0942%" height="15" fill="rgb(214,148,48)" fg:x="20" fg:w="1"/><text x="2.1332%" y="847.50"></text></g><g><title>__tan_fma (2 samples, 0.19%)</title><rect x="1.9774%" y="837" width="0.1883%" height="15" fill="rgb(232,36,49)" fg:x="21" fg:w="2"/><text x="2.2274%" y="847.50"></text></g><g><title>bachelorarbeit::calc::delta_with_lut (5 samples, 0.47%)</title><rect x="2.1657%" y="837" width="0.4708%" height="15" fill="rgb(209,103,24)" fg:x="23" fg:w="5"/><text x="2.4157%" y="847.50"></text></g><g><title>bachelorarbeit::calc::integrate_complex (3 samples, 0.28%)</title><rect x="4.0490%" y="821" width="0.2825%" height="15" fill="rgb(229,88,8)" fg:x="43" fg:w="3"/><text x="4.2990%" y="831.50"></text></g><g><title>bachelorarbeit::calc::omnes::_{{closure}} (3 samples, 0.28%)</title><rect x="4.0490%" y="805" width="0.2825%" height="15" 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y="767.50"></text></g><g><title><f64 as num_traits::float::Float>::hypot (3 samples, 0.28%)</title><rect x="4.8964%" y="741" width="0.2825%" height="15" fill="rgb(235,93,37)" fg:x="52" fg:w="3"/><text x="5.1464%" y="751.50"></text></g><g><title>std::f64::<impl f64>::hypot (3 samples, 0.28%)</title><rect x="4.8964%" y="725" width="0.2825%" height="15" fill="rgb(213,116,39)" fg:x="52" fg:w="3"/><text x="5.1464%" y="735.50"></text></g><g><title>bachelorarbeit::calc::phi0 (7 samples, 0.66%)</title><rect x="4.6139%" y="837" width="0.6591%" height="15" fill="rgb(222,207,29)" fg:x="49" fg:w="7"/><text x="4.8639%" y="847.50"></text></g><g><title>bachelorarbeit::calc::integrate (7 samples, 0.66%)</title><rect x="4.6139%" y="821" width="0.6591%" height="15" fill="rgb(206,96,30)" fg:x="49" fg:w="7"/><text x="4.8639%" y="831.50"></text></g><g><title>bachelorarbeit::calc::phi0::_{{closure}} (7 samples, 0.66%)</title><rect x="4.6139%" y="805" width="0.6591%" height="15" fill="rgb(218,138,4)" fg:x="49" fg:w="7"/><text x="4.8639%" y="815.50"></text></g><g><title>bachelorarbeit::calc::phi0_integrand (7 samples, 0.66%)</title><rect x="4.6139%" y="789" width="0.6591%" height="15" fill="rgb(250,191,14)" fg:x="49" fg:w="7"/><text x="4.8639%" y="799.50"></text></g><g><title>std::f64::<impl f64>::tan (1 samples, 0.09%)</title><rect x="5.1789%" y="773" width="0.0942%" height="15" fill="rgb(239,60,40)" fg:x="55" fg:w="1"/><text x="5.4289%" y="783.50"></text></g><g><title>core::hash::impls::<impl core::hash::Hash for u32>::hash (2 samples, 0.19%)</title><rect x="6.2147%" y="805" width="0.1883%" height="15" fill="rgb(206,27,48)" fg:x="66" fg:w="2"/><text x="6.4647%" y="815.50"></text></g><g><title>core::hash::Hasher::write_u32 (2 samples, 0.19%)</title><rect x="6.2147%" y="789" width="0.1883%" height="15" fill="rgb(225,35,8)" fg:x="66" fg:w="2"/><text x="6.4647%" y="799.50"></text></g><g><title>[unknown] (66 samples, 6.21%)</title><rect x="0.6591%" y="853" width="6.2147%" height="15" fill="rgb(250,213,24)" fg:x="7" fg:w="66"/><text x="0.9091%" y="863.50">[unknown]</text></g><g><title>core::hash::BuildHasher::hash_one (17 samples, 1.60%)</title><rect x="5.2731%" y="837" width="1.6008%" height="15" fill="rgb(247,123,22)" fg:x="56" fg:w="17"/><text x="5.5231%" y="847.50"></text></g><g><title>core::hash::impls::<impl core::hash::Hash for &T>::hash (7 samples, 0.66%)</title><rect x="6.2147%" y="821" width="0.6591%" height="15" fill="rgb(231,138,38)" fg:x="66" fg:w="7"/><text x="6.4647%" y="831.50"></text></g><g><title>core::hash::impls::<impl core::hash::Hash for u64>::hash (5 samples, 0.47%)</title><rect x="6.4030%" y="805" width="0.4708%" height="15" fill="rgb(231,145,46)" fg:x="68" fg:w="5"/><text x="6.6530%" y="815.50"></text></g><g><title>core::hash::Hasher::write_u64 (5 samples, 0.47%)</title><rect x="6.4030%" y="789" width="0.4708%" height="15" fill="rgb(251,118,11)" fg:x="68" fg:w="5"/><text x="6.6530%" y="799.50"></text></g><g><title><alloc::vec::Vec<T> as alloc::vec::spec_from_iter::SpecFromIter<T,I>>::from_iter (1 samples, 0.09%)</title><rect x="6.8738%" y="629" width="0.0942%" height="15" fill="rgb(217,147,25)" fg:x="73" fg:w="1"/><text x="7.1238%" y="639.50"></text></g><g><title><alloc::rc::Rc<T,A> as core::clone::Clone>::clone (1 samples, 0.09%)</title><rect x="6.9680%" y="517" width="0.0942%" height="15" fill="rgb(247,81,37)" fg:x="74" fg:w="1"/><text x="7.2180%" y="527.50"></text></g><g><title>bachelorarbeit::calc::phi0 (4 samples, 0.38%)</title><rect x="7.5330%" y="485" width="0.3766%" height="15" fill="rgb(209,12,38)" fg:x="80" fg:w="4"/><text x="7.7830%" y="495.50"></text></g><g><title><f64 as core::ops::arith::Add>::add (4 samples, 0.38%)</title><rect x="10.2637%" y="453" width="0.3766%" height="15" fill="rgb(227,1,9)" fg:x="109" fg:w="4"/><text x="10.5137%" y="463.50"></text></g><g><title><f64 as core::ops::arith::Div>::div (20 samples, 1.88%)</title><rect x="10.6403%" y="453" width="1.8832%" height="15" fill="rgb(248,47,43)" fg:x="113" fg:w="20"/><text x="10.8903%" y="463.50"><..</text></g><g><title><num_complex::Complex<T> as core::ops::arith::Div>::div (27 samples, 2.54%)</title><rect x="10.2637%" y="469" width="2.5424%" height="15" fill="rgb(221,10,30)" fg:x="109" fg:w="27"/><text x="10.5137%" y="479.50"><n..</text></g><g><title><f64 as core::ops::arith::Mul>::mul (3 samples, 0.28%)</title><rect x="12.5235%" y="453" width="0.2825%" height="15" fill="rgb(210,229,1)" fg:x="133" fg:w="3"/><text x="12.7735%" y="463.50"></text></g><g><title><num_complex::Complex<T> as num_complex::complex_float::ComplexFloat>::abs (93 samples, 8.76%)</title><rect x="12.8060%" y="469" width="8.7571%" height="15" fill="rgb(222,148,37)" fg:x="136" fg:w="93"/><text x="13.0560%" y="479.50"><num_complex..</text></g><g><title>num_complex::Complex<T>::norm (93 samples, 8.76%)</title><rect x="12.8060%" y="453" width="8.7571%" height="15" fill="rgb(234,67,33)" fg:x="136" fg:w="93"/><text x="13.0560%" y="463.50">num_complex:..</text></g><g><title><f64 as num_traits::float::Float>::hypot (93 samples, 8.76%)</title><rect x="12.8060%" y="437" width="8.7571%" height="15" fill="rgb(247,98,35)" fg:x="136" fg:w="93"/><text x="13.0560%" y="447.50"><f64 as num_..</text></g><g><title>std::f64::<impl f64>::hypot (93 samples, 8.76%)</title><rect x="12.8060%" y="421" width="8.7571%" height="15" fill="rgb(247,138,52)" fg:x="136" fg:w="93"/><text x="13.0560%" y="431.50">std::f64::<i..</text></g><g><title>__hypot (93 samples, 8.76%)</title><rect x="12.8060%" y="405" width="8.7571%" height="15" fill="rgb(213,79,30)" fg:x="136" fg:w="93"/><text x="13.0560%" y="415.50">__hypot</text></g><g><title>kernel (79 samples, 7.44%)</title><rect x="14.1243%" y="389" width="7.4388%" height="15" fill="rgb(246,177,23)" fg:x="150" fg:w="79"/><text x="14.3743%" y="399.50">kernel</text></g><g><title><num_complex::Complex<T> as core::ops::arith::Mul<T>>::mul (1 samples, 0.09%)</title><rect x="22.6930%" y="405" 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x="40.4572%" y="335.50"><std..</text></g><g><title><core::hash::sip::SipHasher13 as core::hash::Hasher>::write (39 samples, 3.67%)</title><rect x="40.2072%" y="309" width="3.6723%" height="15" fill="rgb(213,25,53)" fg:x="427" fg:w="39"/><text x="40.4572%" y="319.50"><cor..</text></g><g><title>_ZN81_$LT$std..collections..hash..map..DefaultHasher$u20$as$u20$core..hash..Hasher$GT$5write17h0fbb5d2db9c85b4fE.llvm.9958661498001546512 (10 samples, 0.94%)</title><rect x="42.9379%" y="293" width="0.9416%" height="15" fill="rgb(252,105,26)" fg:x="456" fg:w="10"/><text x="43.1879%" y="303.50"></text></g><g><title>hashbrown::map::make_hash (180 samples, 16.95%)</title><rect x="27.4953%" y="405" width="16.9492%" height="15" fill="rgb(220,39,43)" fg:x="292" fg:w="180"/><text x="27.7453%" y="415.50">hashbrown::map::make_hash</text></g><g><title>core::hash::BuildHasher::hash_one (180 samples, 16.95%)</title><rect x="27.4953%" y="389" width="16.9492%" height="15" fill="rgb(229,68,48)" fg:x="292" fg:w="180"/><text x="27.7453%" y="399.50">core::hash::BuildHasher::h..</text></g><g><title>core::hash::impls::<impl core::hash::Hash for &T>::hash (66 samples, 6.21%)</title><rect x="38.2298%" y="373" width="6.2147%" height="15" fill="rgb(252,8,32)" fg:x="406" fg:w="66"/><text x="38.4798%" y="383.50">core::ha..</text></g><g><title>core::hash::impls::<impl core::hash::Hash for u64>::hash (45 samples, 4.24%)</title><rect x="40.2072%" y="357" width="4.2373%" height="15" fill="rgb(223,20,43)" fg:x="427" fg:w="45"/><text x="40.4572%" y="367.50">core:..</text></g><g><title>core::hash::Hasher::write_u64 (45 samples, 4.24%)</title><rect x="40.2072%" y="341" width="4.2373%" height="15" fill="rgb(229,81,49)" fg:x="427" fg:w="45"/><text x="40.4572%" y="351.50">core:..</text></g><g><title>core::num::<impl u64>::to_ne_bytes (6 samples, 0.56%)</title><rect x="43.8795%" y="325" width="0.5650%" height="15" fill="rgb(236,28,36)" fg:x="466" fg:w="6"/><text x="44.1295%" 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0.09%)</title><rect x="46.3277%" y="357" width="0.0942%" height="15" fill="rgb(250,127,30)" fg:x="492" fg:w="1"/><text x="46.5777%" y="367.50"></text></g><g><title>core::cmp::impls::<impl core::cmp::PartialEq for u32>::eq (6 samples, 0.56%)</title><rect x="46.4218%" y="293" width="0.5650%" height="15" fill="rgb(230,49,44)" fg:x="493" fg:w="6"/><text x="46.6718%" y="303.50"></text></g><g><title>hashbrown::map::equivalent_key::_{{closure}} (41 samples, 3.86%)</title><rect x="46.4218%" y="341" width="3.8606%" height="15" fill="rgb(229,67,23)" fg:x="493" fg:w="41"/><text x="46.6718%" y="351.50">hash..</text></g><g><title><Q as hashbrown::Equivalent<K>>::equivalent (41 samples, 3.86%)</title><rect x="46.4218%" y="325" width="3.8606%" height="15" fill="rgb(249,83,47)" fg:x="493" fg:w="41"/><text x="46.6718%" y="335.50"><Q a..</text></g><g><title>core::cmp::impls::<impl core::cmp::PartialEq<&B> for &A>::eq (41 samples, 3.86%)</title><rect x="46.4218%" y="309" width="3.8606%" height="15" fill="rgb(215,43,3)" fg:x="493" fg:w="41"/><text x="46.6718%" y="319.50">core..</text></g><g><title>core::cmp::impls::<impl core::cmp::PartialEq for u64>::eq (35 samples, 3.30%)</title><rect x="46.9868%" y="293" width="3.2957%" height="15" fill="rgb(238,154,13)" fg:x="499" fg:w="35"/><text x="47.2368%" y="303.50">cor..</text></g><g><title>hashbrown::raw::Bucket<T>::as_ref (6 samples, 0.56%)</title><rect x="50.2825%" y="341" width="0.5650%" height="15" fill="rgb(219,56,2)" fg:x="534" fg:w="6"/><text x="50.5325%" y="351.50"></text></g><g><title>hashbrown::raw::Bucket<T>::as_ptr (6 samples, 0.56%)</title><rect x="50.2825%" y="325" width="0.5650%" height="15" fill="rgb(233,0,4)" fg:x="534" fg:w="6"/><text x="50.5325%" y="335.50"></text></g><g><title>core::ptr::mut_ptr::<impl *mut T>::sub (6 samples, 0.56%)</title><rect x="50.2825%" y="309" width="0.5650%" height="15" fill="rgb(235,30,7)" fg:x="534" fg:w="6"/><text x="50.5325%" y="319.50"></text></g><g><title>core::ptr::mut_ptr::<impl *mut 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y="447.50">std::f64::_..</text></g><g><title>bachelorarbeit::calc::omnes (1 samples, 0.09%)</title><rect x="67.4200%" y="421" width="0.0942%" height="15" fill="rgb(249,21,11)" fg:x="716" fg:w="1"/><text x="67.6700%" y="431.50"></text></g><g><title>std::collections::hash::map::HashMap<K,V,S>::get (1 samples, 0.09%)</title><rect x="67.4200%" y="405" width="0.0942%" height="15" fill="rgb(222,201,40)" fg:x="716" fg:w="1"/><text x="67.6700%" y="415.50"></text></g><g><title>hashbrown::map::HashMap<K,V,S,A>::get (1 samples, 0.09%)</title><rect x="67.4200%" y="389" width="0.0942%" height="15" fill="rgb(235,61,29)" fg:x="716" fg:w="1"/><text x="67.6700%" y="399.50"></text></g><g><title>hashbrown::map::HashMap<K,V,S,A>::get_inner (1 samples, 0.09%)</title><rect x="67.4200%" y="373" width="0.0942%" height="15" fill="rgb(219,207,3)" fg:x="716" fg:w="1"/><text x="67.6700%" y="383.50"></text></g><g><title>hashbrown::map::make_hash (1 samples, 0.09%)</title><rect x="67.4200%" y="357" width="0.0942%" height="15" fill="rgb(222,56,46)" fg:x="716" fg:w="1"/><text x="67.6700%" y="367.50"></text></g><g><title>core::hash::BuildHasher::hash_one (1 samples, 0.09%)</title><rect x="67.4200%" y="341" width="0.0942%" height="15" fill="rgb(239,76,54)" fg:x="716" fg:w="1"/><text x="67.6700%" y="351.50"></text></g><g><title><std::collections::hash::map::DefaultHasher as core::hash::Hasher>::finish (1 samples, 0.09%)</title><rect x="67.4200%" y="325" width="0.0942%" height="15" fill="rgb(231,124,27)" fg:x="716" fg:w="1"/><text x="67.6700%" y="335.50"></text></g><g><title><core::hash::sip::SipHasher13 as core::hash::Hasher>::finish (1 samples, 0.09%)</title><rect x="67.4200%" y="309" width="0.0942%" height="15" fill="rgb(249,195,6)" fg:x="716" fg:w="1"/><text x="67.6700%" y="319.50"></text></g><g><title><core::hash::sip::Hasher<S> as core::hash::Hasher>::finish (1 samples, 0.09%)</title><rect x="67.4200%" y="293" width="0.0942%" height="15" fill="rgb(237,174,47)" fg:x="716" fg:w="1"/><text x="67.6700%" y="303.50"></text></g><g><title><core::hash::sip::Sip13Rounds as core::hash::sip::Sip>::d_rounds (1 samples, 0.09%)</title><rect x="67.4200%" y="277" width="0.0942%" height="15" fill="rgb(206,201,31)" fg:x="716" fg:w="1"/><text x="67.6700%" y="287.50"></text></g><g><title>core::num::<impl u64>::wrapping_add (1 samples, 0.09%)</title><rect x="67.4200%" y="261" width="0.0942%" height="15" fill="rgb(231,57,52)" fg:x="716" fg:w="1"/><text x="67.6700%" y="271.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="67.4200%" y="245" width="0.0942%" height="15" fill="rgb(248,177,22)" fg:x="716" fg:w="1"/><text x="67.6700%" y="255.50"></text></g><g><title>std::f64::<impl f64>::powi (5 samples, 0.47%)</title><rect x="67.5141%" y="469" width="0.4708%" height="15" fill="rgb(215,211,37)" fg:x="717" fg:w="5"/><text x="67.7641%" y="479.50"></text></g><g><title>bachelorarbeit::calc::integrate (674 samples, 63.47%)</title><rect x="7.0621%" y="517" width="63.4652%" height="15" fill="rgb(241,128,51)" fg:x="75" fg:w="674"/><text x="7.3121%" y="527.50">bachelorarbeit::calc::integrate</text></g><g><title>bachelorarbeit::calc::phi0::_{{closure}} (669 samples, 62.99%)</title><rect x="7.5330%" y="501" width="62.9944%" height="15" fill="rgb(227,165,31)" fg:x="80" fg:w="669"/><text x="7.7830%" y="511.50">bachelorarbeit::calc::phi0::_{{closure}}</text></g><g><title>bachelorarbeit::calc::phi0_integrand (665 samples, 62.62%)</title><rect x="7.9096%" y="485" width="62.6177%" height="15" fill="rgb(228,167,24)" fg:x="84" fg:w="665"/><text x="8.1596%" y="495.50">bachelorarbeit::calc::phi0_integrand</text></g><g><title>std::f64::<impl f64>::tan (27 samples, 2.54%)</title><rect x="67.9849%" y="469" width="2.5424%" height="15" fill="rgb(228,143,12)" fg:x="722" fg:w="27"/><text x="68.2349%" y="479.50">st..</text></g><g><title>__tan_fma (27 samples, 2.54%)</title><rect x="67.9849%" y="453" width="2.5424%" height="15" fill="rgb(249,149,8)" fg:x="722" fg:w="27"/><text x="68.2349%" y="463.50">__..</text></g><g><title>libc_feholdsetround_sse_ctx (1 samples, 0.09%)</title><rect x="70.4331%" y="437" width="0.0942%" height="15" fill="rgb(243,35,44)" fg:x="748" fg:w="1"/><text x="70.6831%" y="447.50"></text></g><g><title><num_complex::Complex<T> as core::ops::arith::Mul<T>>::mul (3 samples, 0.28%)</title><rect x="70.9040%" y="453" width="0.2825%" height="15" fill="rgb(246,89,9)" fg:x="753" fg:w="3"/><text x="71.1540%" y="463.50"></text></g><g><title><f64 as core::ops::arith::Mul>::mul (3 samples, 0.28%)</title><rect x="70.9040%" y="437" width="0.2825%" height="15" fill="rgb(233,213,13)" fg:x="753" fg:w="3"/><text x="71.1540%" y="447.50"></text></g><g><title>core::num::<impl u64>::rotate_left (8 samples, 0.75%)</title><rect x="72.9755%" y="293" width="0.7533%" height="15" fill="rgb(233,141,41)" fg:x="775" fg:w="8"/><text x="73.2255%" y="303.50"></text></g><g><title><core::hash::sip::Sip13Rounds as core::hash::sip::Sip>::c_rounds (12 samples, 1.13%)</title><rect x="72.7872%" y="309" width="1.1299%" height="15" fill="rgb(239,167,4)" fg:x="773" fg:w="12"/><text x="73.0372%" y="319.50"></text></g><g><title>core::num::<impl u64>::wrapping_add (2 samples, 0.19%)</title><rect x="73.7288%" y="293" width="0.1883%" height="15" fill="rgb(209,217,16)" fg:x="783" fg:w="2"/><text x="73.9788%" y="303.50"></text></g><g><title>core::num::<impl u64>::rotate_left (18 samples, 1.69%)</title><rect x="74.4821%" y="293" width="1.6949%" height="15" fill="rgb(219,88,35)" fg:x="791" fg:w="18"/><text x="74.7321%" y="303.50"></text></g><g><title><std::collections::hash::map::DefaultHasher as core::hash::Hasher>::finish (49 samples, 4.61%)</title><rect x="72.4105%" y="357" width="4.6139%" height="15" fill="rgb(220,193,23)" fg:x="769" fg:w="49"/><text x="72.6605%" y="367.50"><std:..</text></g><g><title><core::hash::sip::SipHasher13 as core::hash::Hasher>::finish (49 samples, 4.61%)</title><rect x="72.4105%" y="341" width="4.6139%" height="15" fill="rgb(230,90,52)" fg:x="769" fg:w="49"/><text x="72.6605%" y="351.50"><core..</text></g><g><title><core::hash::sip::Hasher<S> as core::hash::Hasher>::finish (49 samples, 4.61%)</title><rect x="72.4105%" y="325" width="4.6139%" height="15" fill="rgb(252,106,19)" fg:x="769" fg:w="49"/><text x="72.6605%" y="335.50"><core..</text></g><g><title><core::hash::sip::Sip13Rounds as core::hash::sip::Sip>::d_rounds (33 samples, 3.11%)</title><rect x="73.9171%" y="309" width="3.1073%" height="15" fill="rgb(206,74,20)" fg:x="785" fg:w="33"/><text x="74.1671%" y="319.50"><co..</text></g><g><title>core::num::<impl u64>::wrapping_add (9 samples, 0.85%)</title><rect x="76.1770%" y="293" width="0.8475%" height="15" fill="rgb(230,138,44)" fg:x="809" fg:w="9"/><text x="76.4270%" y="303.50"></text></g><g><title><std::collections::hash::map::RandomState as core::hash::BuildHasher>::build_hasher (6 samples, 0.56%)</title><rect x="77.0245%" y="357" width="0.5650%" height="15" fill="rgb(235,182,43)" fg:x="818" fg:w="6"/><text x="77.2745%" y="367.50"></text></g><g><title>core::hash::sip::SipHasher13::new_with_keys (2 samples, 0.19%)</title><rect x="77.4011%" y="341" width="0.1883%" height="15" fill="rgb(242,16,51)" fg:x="822" fg:w="2"/><text x="77.6511%" y="351.50"></text></g><g><title>core::hash::sip::Hasher<S>::new_with_keys (2 samples, 0.19%)</title><rect x="77.4011%" y="325" width="0.1883%" height="15" fill="rgb(248,9,4)" fg:x="822" fg:w="2"/><text x="77.6511%" y="335.50"></text></g><g><title>core::hash::sip::Hasher<S>::reset (2 samples, 0.19%)</title><rect x="77.4011%" y="309" width="0.1883%" height="15" fill="rgb(210,31,22)" fg:x="822" fg:w="2"/><text x="77.6511%" y="319.50"></text></g><g><title>core::num::<impl u64>::rotate_left (2 samples, 0.19%)</title><rect x="78.6252%" y="245" width="0.1883%" height="15" fill="rgb(239,54,39)" fg:x="835" fg:w="2"/><text x="78.8752%" y="255.50"></text></g><g><title><core::hash::sip::Sip13Rounds as core::hash::sip::Sip>::c_rounds (9 samples, 0.85%)</title><rect x="78.2486%" y="261" width="0.8475%" height="15" fill="rgb(230,99,41)" fg:x="831" fg:w="9"/><text x="78.4986%" y="271.50"></text></g><g><title>core::num::<impl u64>::wrapping_add (3 samples, 0.28%)</title><rect x="78.8136%" y="245" width="0.2825%" height="15" fill="rgb(253,106,12)" fg:x="837" fg:w="3"/><text x="79.0636%" y="255.50"></text></g><g><title>_ZN81_$LT$std..collections..hash..map..DefaultHasher$u20$as$u20$core..hash..Hasher$GT$5write17h0fbb5d2db9c85b4fE.llvm.9958661498001546512 (5 samples, 0.47%)</title><rect x="79.0960%" y="261" width="0.4708%" height="15" fill="rgb(213,46,41)" fg:x="840" fg:w="5"/><text x="79.3460%" y="271.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="245" width="0.0942%" height="15" fill="rgb(215,133,35)" fg:x="844" fg:w="1"/><text x="79.7227%" y="255.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="229" width="0.0942%" height="15" fill="rgb(213,28,5)" fg:x="844" fg:w="1"/><text x="79.7227%" y="239.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="213" width="0.0942%" height="15" fill="rgb(215,77,49)" fg:x="844" fg:w="1"/><text x="79.7227%" y="223.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="197" width="0.0942%" height="15" fill="rgb(248,100,22)" fg:x="844" fg:w="1"/><text x="79.7227%" y="207.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="181" width="0.0942%" height="15" fill="rgb(208,67,9)" fg:x="844" fg:w="1"/><text x="79.7227%" y="191.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="165" width="0.0942%" height="15" fill="rgb(219,133,21)" fg:x="844" fg:w="1"/><text x="79.7227%" y="175.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="149" width="0.0942%" height="15" fill="rgb(246,46,29)" fg:x="844" fg:w="1"/><text x="79.7227%" y="159.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="133" width="0.0942%" height="15" fill="rgb(246,185,52)" fg:x="844" fg:w="1"/><text x="79.7227%" y="143.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="117" width="0.0942%" height="15" fill="rgb(252,136,11)" fg:x="844" fg:w="1"/><text x="79.7227%" y="127.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="101" width="0.0942%" height="15" fill="rgb(219,138,53)" fg:x="844" fg:w="1"/><text x="79.7227%" y="111.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="85" width="0.0942%" height="15" fill="rgb(211,51,23)" fg:x="844" fg:w="1"/><text x="79.7227%" y="95.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="69" width="0.0942%" height="15" fill="rgb(247,221,28)" fg:x="844" fg:w="1"/><text x="79.7227%" y="79.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="53" width="0.0942%" height="15" fill="rgb(251,222,45)" fg:x="844" fg:w="1"/><text x="79.7227%" y="63.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="79.4727%" y="37" width="0.0942%" height="15" fill="rgb(217,162,53)" fg:x="844" fg:w="1"/><text x="79.7227%" y="47.50"></text></g><g><title><core::hash::sip::Hasher<S> as core::hash::Hasher>::write (24 samples, 2.26%)</title><rect x="77.5895%" y="277" width="2.2599%" height="15" fill="rgb(229,93,14)" fg:x="824" fg:w="24"/><text x="77.8395%" y="287.50"><..</text></g><g><title>core::hash::sip::u8to64_le (3 samples, 0.28%)</title><rect x="79.5669%" y="261" width="0.2825%" height="15" fill="rgb(209,67,49)" fg:x="845" fg:w="3"/><text x="79.8169%" y="271.50"></text></g><g><title><std::collections::hash::map::DefaultHasher as core::hash::Hasher>::write (26 samples, 2.45%)</title><rect x="77.5895%" y="309" width="2.4482%" height="15" fill="rgb(213,87,29)" fg:x="824" fg:w="26"/><text x="77.8395%" 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y="383.50">core::hash:..</text></g><g><title>core::hash::impls::<impl core::hash::Hash for &T>::hash (28 samples, 2.64%)</title><rect x="77.5895%" y="357" width="2.6365%" height="15" fill="rgb(221,193,43)" fg:x="824" fg:w="28"/><text x="77.8395%" y="367.50">co..</text></g><g><title>core::hash::impls::<impl core::hash::Hash for u64>::hash (28 samples, 2.64%)</title><rect x="77.5895%" y="341" width="2.6365%" height="15" fill="rgb(240,128,52)" fg:x="824" fg:w="28"/><text x="77.8395%" y="351.50">co..</text></g><g><title>core::hash::Hasher::write_u64 (28 samples, 2.64%)</title><rect x="77.5895%" y="325" width="2.6365%" height="15" fill="rgb(253,114,12)" fg:x="824" fg:w="28"/><text x="77.8395%" y="335.50">co..</text></g><g><title>core::hash::BuildHasher::hash_one (2 samples, 0.19%)</title><rect x="80.0377%" y="309" width="0.1883%" height="15" fill="rgb(215,223,47)" fg:x="850" fg:w="2"/><text x="80.2877%" y="319.50"></text></g><g><title>bachelorarbeit::calc::delta_with_lut (1 samples, 0.09%)</title><rect x="80.2260%" y="357" width="0.0942%" height="15" fill="rgb(248,225,23)" fg:x="852" fg:w="1"/><text x="80.4760%" y="367.50"></text></g><g><title>hashbrown::raw::bitmask::BitMask::lowest_set_bit (3 samples, 0.28%)</title><rect x="80.3202%" y="325" width="0.2825%" height="15" fill="rgb(250,108,0)" fg:x="853" fg:w="3"/><text x="80.5702%" y="335.50"></text></g><g><title><hashbrown::raw::bitmask::BitMaskIter as core::iter::traits::iterator::Iterator>::next (8 samples, 0.75%)</title><rect x="80.3202%" y="341" width="0.7533%" height="15" fill="rgb(228,208,7)" fg:x="853" fg:w="8"/><text x="80.5702%" y="351.50"></text></g><g><title>hashbrown::raw::bitmask::BitMask::remove_lowest_bit (5 samples, 0.47%)</title><rect x="80.6026%" y="325" width="0.4708%" height="15" fill="rgb(244,45,10)" fg:x="856" fg:w="5"/><text x="80.8526%" y="335.50"></text></g><g><title>hashbrown::map::equivalent_key::_{{closure}} (28 samples, 2.64%)</title><rect x="81.0734%" y="325" width="2.6365%" height="15" fill="rgb(207,125,25)" fg:x="861" fg:w="28"/><text x="81.3234%" y="335.50">ha..</text></g><g><title><Q as hashbrown::Equivalent<K>>::equivalent (28 samples, 2.64%)</title><rect x="81.0734%" y="309" width="2.6365%" height="15" fill="rgb(210,195,18)" fg:x="861" fg:w="28"/><text x="81.3234%" y="319.50"><Q..</text></g><g><title>core::cmp::impls::<impl core::cmp::PartialEq<&B> for &A>::eq (28 samples, 2.64%)</title><rect x="81.0734%" y="293" width="2.6365%" height="15" fill="rgb(249,80,12)" fg:x="861" fg:w="28"/><text x="81.3234%" y="303.50">co..</text></g><g><title>core::cmp::impls::<impl core::cmp::PartialEq for u64>::eq (28 samples, 2.64%)</title><rect x="81.0734%" y="277" width="2.6365%" height="15" fill="rgb(221,65,9)" fg:x="861" fg:w="28"/><text x="81.3234%" y="287.50">co..</text></g><g><title>hashbrown::raw::RawTable<T,A>::find::_{{closure}} (29 samples, 2.73%)</title><rect x="81.0734%" y="341" width="2.7307%" height="15" fill="rgb(235,49,36)" fg:x="861" fg:w="29"/><text x="81.3234%" y="351.50">ha..</text></g><g><title>hashbrown::raw::Bucket<T>::as_ref (1 samples, 0.09%)</title><rect x="83.7100%" y="325" width="0.0942%" height="15" fill="rgb(225,32,20)" fg:x="889" fg:w="1"/><text x="83.9600%" y="335.50"></text></g><g><title>hashbrown::raw::Bucket<T>::as_ptr (1 samples, 0.09%)</title><rect x="83.7100%" y="309" width="0.0942%" height="15" fill="rgb(215,141,46)" fg:x="889" fg:w="1"/><text x="83.9600%" y="319.50"></text></g><g><title>core::ptr::mut_ptr::<impl *mut T>::sub (1 samples, 0.09%)</title><rect x="83.7100%" y="293" width="0.0942%" height="15" fill="rgb(250,160,47)" fg:x="889" fg:w="1"/><text x="83.9600%" y="303.50"></text></g><g><title>core::ptr::mut_ptr::<impl *mut T>::offset (1 samples, 0.09%)</title><rect x="83.7100%" y="277" width="0.0942%" height="15" fill="rgb(216,222,40)" fg:x="889" fg:w="1"/><text x="83.9600%" y="287.50"></text></g><g><title>hashbrown::raw::h2 (11 samples, 1.04%)</title><rect x="83.8041%" y="341" width="1.0358%" height="15" fill="rgb(234,217,39)" fg:x="890" fg:w="11"/><text x="84.0541%" y="351.50"></text></g><g><title>hashbrown::raw::sse2::Group::load (5 samples, 0.47%)</title><rect x="84.8399%" y="341" width="0.4708%" height="15" fill="rgb(207,178,40)" fg:x="901" fg:w="5"/><text x="85.0899%" y="351.50"></text></g><g><title>core::core_arch::x86::sse2::_mm_loadu_si128 (5 samples, 0.47%)</title><rect x="84.8399%" y="325" width="0.4708%" height="15" fill="rgb(221,136,13)" fg:x="901" fg:w="5"/><text x="85.0899%" y="335.50"></text></g><g><title>core::intrinsics::copy_nonoverlapping (5 samples, 0.47%)</title><rect x="84.8399%" y="309" width="0.4708%" height="15" fill="rgb(249,199,10)" fg:x="901" fg:w="5"/><text x="85.0899%" y="319.50"></text></g><g><title>bachelorarbeit::calc::delta_with_lut (157 samples, 14.78%)</title><rect x="71.1864%" y="453" width="14.7834%" height="15" fill="rgb(249,222,13)" fg:x="756" fg:w="157"/><text x="71.4364%" y="463.50">bachelorarbeit::calc::d..</text></g><g><title>std::collections::hash::map::HashMap<K,V,S>::get (149 samples, 14.03%)</title><rect x="71.9397%" y="437" width="14.0301%" height="15" fill="rgb(244,185,38)" fg:x="764" fg:w="149"/><text x="72.1897%" y="447.50">std::collections::has..</text></g><g><title>hashbrown::map::HashMap<K,V,S,A>::get (149 samples, 14.03%)</title><rect x="71.9397%" y="421" width="14.0301%" height="15" fill="rgb(236,202,9)" fg:x="764" fg:w="149"/><text x="72.1897%" y="431.50">hashbrown::map::HashM..</text></g><g><title>hashbrown::map::HashMap<K,V,S,A>::get_inner (149 samples, 14.03%)</title><rect x="71.9397%" y="405" width="14.0301%" height="15" fill="rgb(250,229,37)" fg:x="764" fg:w="149"/><text x="72.1897%" y="415.50">hashbrown::map::HashM..</text></g><g><title>hashbrown::raw::RawTable<T,A>::get (61 samples, 5.74%)</title><rect x="80.2260%" y="389" width="5.7439%" height="15" fill="rgb(206,174,23)" fg:x="852" fg:w="61"/><text x="80.4760%" y="399.50">hashbro..</text></g><g><title>hashbrown::raw::RawTable<T,A>::find (61 samples, 5.74%)</title><rect x="80.2260%" y="373" width="5.7439%" height="15" fill="rgb(211,33,43)" fg:x="852" fg:w="61"/><text x="80.4760%" y="383.50">hashbro..</text></g><g><title>hashbrown::raw::RawTableInner::find_inner (60 samples, 5.65%)</title><rect x="80.3202%" y="357" width="5.6497%" height="15" fill="rgb(245,58,50)" fg:x="853" fg:w="60"/><text x="80.5702%" y="367.50">hashbro..</text></g><g><title>hashbrown::raw::sse2::Group::match_byte (7 samples, 0.66%)</title><rect x="85.3107%" y="341" width="0.6591%" height="15" fill="rgb(244,68,36)" fg:x="906" fg:w="7"/><text x="85.5607%" y="351.50"></text></g><g><title>core::core_arch::x86::sse2::_mm_movemask_epi8 (7 samples, 0.66%)</title><rect x="85.3107%" y="325" width="0.6591%" height="15" fill="rgb(232,229,15)" fg:x="906" fg:w="7"/><text x="85.5607%" y="335.50"></text></g><g><title>num_complex::<impl core::ops::arith::Add<num_complex::Complex<f64>> for f64>::add (2 samples, 0.19%)</title><rect x="85.9699%" y="453" width="0.1883%" height="15" fill="rgb(254,30,23)" fg:x="913" fg:w="2"/><text x="86.2199%" y="463.50"></text></g><g><title><f64 as core::ops::arith::Add>::add (4 samples, 0.38%)</title><rect x="89.6422%" y="421" width="0.3766%" height="15" fill="rgb(235,160,14)" fg:x="952" fg:w="4"/><text x="89.8922%" y="431.50"></text></g><g><title>num_complex::<impl core::ops::arith::Div<num_complex::Complex<f64>> for f64>::div (53 samples, 4.99%)</title><rect x="86.1582%" y="453" width="4.9906%" height="15" fill="rgb(212,155,44)" fg:x="915" fg:w="53"/><text x="86.4082%" y="463.50">num_co..</text></g><g><title>num_complex::Complex<T>::norm_sqr (16 samples, 1.51%)</title><rect x="89.6422%" y="437" width="1.5066%" height="15" fill="rgb(226,2,50)" fg:x="952" fg:w="16"/><text x="89.8922%" y="447.50"></text></g><g><title><f64 as core::ops::arith::Mul>::mul (12 samples, 1.13%)</title><rect x="90.0188%" y="421" width="1.1299%" height="15" fill="rgb(234,177,6)" fg:x="956" fg:w="12"/><text x="90.2688%" y="431.50"></text></g><g><title>num_complex::<impl core::ops::arith::Mul<num_complex::Complex<f64>> for f64>::mul (2 samples, 0.19%)</title><rect x="91.1488%" y="453" width="0.1883%" height="15" fill="rgb(217,24,9)" fg:x="968" fg:w="2"/><text x="91.3988%" y="463.50"></text></g><g><title>do_cos (11 samples, 1.04%)</title><rect x="91.9021%" y="421" width="1.0358%" height="15" fill="rgb(220,13,46)" fg:x="976" fg:w="11"/><text x="92.1521%" y="431.50"></text></g><g><title>do_sin (11 samples, 1.04%)</title><rect x="92.9379%" y="421" width="1.0358%" height="15" fill="rgb(239,221,27)" fg:x="987" fg:w="11"/><text x="93.1879%" y="431.50"></text></g><g><title>std::f64::<impl f64>::cos (30 samples, 2.82%)</title><rect x="91.3371%" y="453" width="2.8249%" height="15" fill="rgb(222,198,25)" fg:x="970" fg:w="30"/><text x="91.5871%" y="463.50">st..</text></g><g><title>__cos_fma (30 samples, 2.82%)</title><rect x="91.3371%" y="437" width="2.8249%" height="15" fill="rgb(211,99,13)" fg:x="970" fg:w="30"/><text x="91.5871%" y="447.50">__..</text></g><g><title>libc_feholdsetround_sse_ctx (2 samples, 0.19%)</title><rect x="93.9736%" y="421" width="0.1883%" height="15" fill="rgb(232,111,31)" fg:x="998" fg:w="2"/><text x="94.2236%" y="431.50"></text></g><g><title>std::f64::<impl f64>::powi (2 samples, 0.19%)</title><rect x="94.1620%" y="453" width="0.1883%" height="15" fill="rgb(245,82,37)" fg:x="1000" fg:w="2"/><text x="94.4120%" y="463.50"></text></g><g><title>bachelorarbeit::calc::omnes::_{{closure}} (289 samples, 27.21%)</title><rect x="70.7156%" y="485" width="27.2128%" height="15" fill="rgb(227,149,46)" fg:x="751" fg:w="289"/><text x="70.9656%" y="495.50">bachelorarbeit::calc::omnes::_{{closure}}</text></g><g><title>bachelorarbeit::calc::omnes_integrand (289 samples, 27.21%)</title><rect x="70.7156%" y="469" width="27.2128%" height="15" fill="rgb(218,36,50)" fg:x="751" fg:w="289"/><text x="70.9656%" y="479.50">bachelorarbeit::calc::omnes_integrand</text></g><g><title>std::f64::<impl f64>::tan (38 samples, 3.58%)</title><rect x="94.3503%" y="453" width="3.5782%" height="15" fill="rgb(226,80,48)" fg:x="1002" fg:w="38"/><text x="94.6003%" y="463.50">std:..</text></g><g><title>__tan_fma (38 samples, 3.58%)</title><rect x="94.3503%" y="437" width="3.5782%" height="15" fill="rgb(238,224,15)" fg:x="1002" fg:w="38"/><text x="94.6003%" y="447.50">__ta..</text></g><g><title>libc_feholdsetround_sse_ctx (2 samples, 0.19%)</title><rect x="97.7401%" y="421" width="0.1883%" height="15" fill="rgb(241,136,10)" fg:x="1038" fg:w="2"/><text x="97.9901%" y="431.50"></text></g><g><title>num_complex::<impl core::ops::arith::Mul<num_complex::Complex<f64>> for f64>::mul (7 samples, 0.66%)</title><rect x="97.9284%" y="485" width="0.6591%" height="15" fill="rgb(208,32,45)" fg:x="1040" fg:w="7"/><text x="98.1784%" y="495.50"></text></g><g><title>bachelorarbeit::calc::integrate_complex (300 samples, 28.25%)</title><rect x="70.5273%" y="501" width="28.2486%" height="15" fill="rgb(207,135,9)" fg:x="749" fg:w="300"/><text x="70.7773%" y="511.50">bachelorarbeit::calc::integrate_complex</text></g><g><title>num_complex::opassign::<impl core::ops::arith::AddAssign for num_complex::Complex<T>>::add_assign (2 samples, 0.19%)</title><rect x="98.5876%" y="485" width="0.1883%" height="15" fill="rgb(206,86,44)" fg:x="1047" fg:w="2"/><text x="98.8376%" y="495.50"></text></g><g><title><f64 as core::ops::arith::AddAssign>::add_assign (2 samples, 0.19%)</title><rect x="98.5876%" y="469" width="0.1883%" height="15" fill="rgb(245,177,15)" fg:x="1047" fg:w="2"/><text x="98.8376%" y="479.50"></text></g><g><title>bachelorarbeit::calc::omnes (5 samples, 0.47%)</title><rect x="98.7759%" y="501" width="0.4708%" height="15" fill="rgb(206,64,50)" fg:x="1049" fg:w="5"/><text x="99.0259%" y="511.50"></text></g><g><title>bachelorarbeit::calc::omnes (306 samples, 28.81%)</title><rect x="70.5273%" y="517" width="28.8136%" height="15" fill="rgb(234,36,40)" fg:x="749" fg:w="306"/><text x="70.7773%" y="527.50">bachelorarbeit::calc::omnes</text></g><g><title>std::collections::hash::map::HashMap<K,V,S>::insert (1 samples, 0.09%)</title><rect x="99.2467%" y="501" width="0.0942%" height="15" fill="rgb(213,64,8)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="511.50"></text></g><g><title>hashbrown::map::HashMap<K,V,S,A>::insert (1 samples, 0.09%)</title><rect x="99.2467%" y="485" width="0.0942%" height="15" fill="rgb(210,75,36)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="495.50"></text></g><g><title>hashbrown::raw::RawTable<T,A>::find_or_find_insert_slot (1 samples, 0.09%)</title><rect x="99.2467%" y="469" width="0.0942%" height="15" fill="rgb(229,88,21)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="479.50"></text></g><g><title>hashbrown::raw::RawTable<T,A>::reserve (1 samples, 0.09%)</title><rect x="99.2467%" y="453" width="0.0942%" height="15" fill="rgb(252,204,47)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="463.50"></text></g><g><title>hashbrown::raw::RawTable<T,A>::reserve_rehash (1 samples, 0.09%)</title><rect x="99.2467%" y="437" width="0.0942%" height="15" fill="rgb(208,77,27)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="447.50"></text></g><g><title>hashbrown::raw::RawTableInner::reserve_rehash_inner (1 samples, 0.09%)</title><rect x="99.2467%" y="421" width="0.0942%" height="15" fill="rgb(221,76,26)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="431.50"></text></g><g><title>hashbrown::raw::RawTableInner::resize_inner (1 samples, 0.09%)</title><rect x="99.2467%" y="405" width="0.0942%" height="15" fill="rgb(225,139,18)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="415.50"></text></g><g><title>core::intrinsics::copy_nonoverlapping (1 samples, 0.09%)</title><rect x="99.2467%" y="389" width="0.0942%" height="15" fill="rgb(230,137,11)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="399.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="99.2467%" y="373" width="0.0942%" height="15" fill="rgb(212,28,1)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="383.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="99.2467%" y="357" width="0.0942%" height="15" fill="rgb(248,164,17)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="367.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="99.2467%" y="341" width="0.0942%" height="15" fill="rgb(222,171,42)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="351.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="99.2467%" y="325" width="0.0942%" height="15" fill="rgb(243,84,45)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="335.50"></text></g><g><title>[unknown] (1 samples, 0.09%)</title><rect x="99.2467%" y="309" width="0.0942%" height="15" fill="rgb(252,49,23)" fg:x="1054" fg:w="1"/><text x="99.4967%" y="319.50"></text></g><g><title>__libc_start_main_impl (983 samples, 92.56%)</title><rect x="6.8738%" y="837" width="92.5612%" height="15" fill="rgb(215,19,7)" fg:x="73" fg:w="983"/><text x="7.1238%" y="847.50">__libc_start_main_impl</text></g><g><title>__libc_start_call_main (983 samples, 92.56%)</title><rect x="6.8738%" y="821" width="92.5612%" height="15" fill="rgb(238,81,41)" fg:x="73" fg:w="983"/><text x="7.1238%" y="831.50">__libc_start_call_main</text></g><g><title>std::rt::lang_start (983 samples, 92.56%)</title><rect x="6.8738%" y="805" width="92.5612%" height="15" fill="rgb(210,199,37)" fg:x="73" fg:w="983"/><text x="7.1238%" y="815.50">std::rt::lang_start</text></g><g><title>std::rt::lang_start_internal (983 samples, 92.56%)</title><rect x="6.8738%" y="789" width="92.5612%" height="15" fill="rgb(244,192,49)" fg:x="73" fg:w="983"/><text x="7.1238%" y="799.50">std::rt::lang_start_internal</text></g><g><title>std::rt::lang_start::_{{closure}} (983 samples, 92.56%)</title><rect x="6.8738%" y="773" width="92.5612%" height="15" fill="rgb(226,211,11)" fg:x="73" fg:w="983"/><text x="7.1238%" y="783.50">std::rt::lang_start::_{{closure}}</text></g><g><title>std::sys_common::backtrace::__rust_begin_short_backtrace (983 samples, 92.56%)</title><rect x="6.8738%" y="757" width="92.5612%" height="15" fill="rgb(236,162,54)" fg:x="73" fg:w="983"/><text x="7.1238%" y="767.50">std::sys_common::backtrace::__rust_begin_short_backtrace</text></g><g><title>core::ops::function::FnOnce::call_once (983 samples, 92.56%)</title><rect x="6.8738%" y="741" width="92.5612%" height="15" fill="rgb(220,229,9)" fg:x="73" fg:w="983"/><text x="7.1238%" y="751.50">core::ops::function::FnOnce::call_once</text></g><g><title>bachelorarbeit::main (983 samples, 92.56%)</title><rect x="6.8738%" y="725" width="92.5612%" height="15" fill="rgb(250,87,22)" fg:x="73" fg:w="983"/><text x="7.1238%" y="735.50">bachelorarbeit::main</text></g><g><title>core::iter::traits::iterator::Iterator::collect (983 samples, 92.56%)</title><rect x="6.8738%" y="709" width="92.5612%" height="15" fill="rgb(239,43,17)" fg:x="73" fg:w="983"/><text x="7.1238%" y="719.50">core::iter::traits::iterator::Iterator::collect</text></g><g><title><alloc::vec::Vec<T> as core::iter::traits::collect::FromIterator<T>>::from_iter (983 samples, 92.56%)</title><rect x="6.8738%" y="693" width="92.5612%" height="15" fill="rgb(231,177,25)" fg:x="73" fg:w="983"/><text x="7.1238%" y="703.50"><alloc::vec::Vec<T> as core::iter::traits::collect::FromIterator<T>>::from_iter</text></g><g><title><alloc::vec::Vec<T> as alloc::vec::spec_from_iter::SpecFromIter<T,I>>::from_iter (983 samples, 92.56%)</title><rect x="6.8738%" y="677" width="92.5612%" height="15" fill="rgb(219,179,1)" fg:x="73" fg:w="983"/><text x="7.1238%" y="687.50"><alloc::vec::Vec<T> as alloc::vec::spec_from_iter::SpecFromIter<T,I>>::from_iter</text></g><g><title><alloc::vec::Vec<T> as alloc::vec::spec_from_iter_nested::SpecFromIterNested<T,I>>::from_iter (983 samples, 92.56%)</title><rect x="6.8738%" y="661" width="92.5612%" height="15" fill="rgb(238,219,53)" fg:x="73" fg:w="983"/><text x="7.1238%" y="671.50"><alloc::vec::Vec<T> as alloc::vec::spec_from_iter_nested::SpecFromIterNested<T,I>>::from_iter</text></g><g><title><alloc::vec::Vec<T,A> as alloc::vec::spec_extend::SpecExtend<T,I>>::spec_extend (983 samples, 92.56%)</title><rect x="6.8738%" y="645" width="92.5612%" height="15" fill="rgb(232,167,36)" fg:x="73" fg:w="983"/><text x="7.1238%" y="655.50"><alloc::vec::Vec<T,A> as alloc::vec::spec_extend::SpecExtend<T,I>>::spec_extend</text></g><g><title>alloc::vec::Vec<T,A>::extend_trusted (982 samples, 92.47%)</title><rect x="6.9680%" y="629" width="92.4670%" height="15" fill="rgb(244,19,51)" fg:x="74" fg:w="982"/><text x="7.2180%" y="639.50">alloc::vec::Vec<T,A>::extend_trusted</text></g><g><title>core::iter::traits::iterator::Iterator::for_each (982 samples, 92.47%)</title><rect x="6.9680%" y="613" width="92.4670%" height="15" fill="rgb(224,6,22)" fg:x="74" fg:w="982"/><text x="7.2180%" y="623.50">core::iter::traits::iterator::Iterator::for_each</text></g><g><title><core::iter::adapters::map::Map<I,F> as core::iter::traits::iterator::Iterator>::fold (982 samples, 92.47%)</title><rect x="6.9680%" y="597" width="92.4670%" height="15" fill="rgb(224,145,5)" fg:x="74" fg:w="982"/><text x="7.2180%" y="607.50"><core::iter::adapters::map::Map<I,F> as core::iter::traits::iterator::Iterator>::fold</text></g><g><title><core::slice::iter::Iter<T> as core::iter::traits::iterator::Iterator>::fold (982 samples, 92.47%)</title><rect x="6.9680%" y="581" width="92.4670%" height="15" fill="rgb(234,130,49)" fg:x="74" fg:w="982"/><text x="7.2180%" y="591.50"><core::slice::iter::Iter<T> as core::iter::traits::iterator::Iterator>::fold</text></g><g><title>core::iter::adapters::map::map_fold::_{{closure}} (982 samples, 92.47%)</title><rect x="6.9680%" y="565" width="92.4670%" height="15" fill="rgb(254,6,2)" fg:x="74" fg:w="982"/><text x="7.2180%" y="575.50">core::iter::adapters::map::map_fold::_{{closure}}</text></g><g><title>bachelorarbeit::main::_{{closure}} (982 samples, 92.47%)</title><rect x="6.9680%" y="549" width="92.4670%" height="15" fill="rgb(208,96,46)" fg:x="74" fg:w="982"/><text x="7.2180%" y="559.50">bachelorarbeit::main::_{{closure}}</text></g><g><title>bachelorarbeit::calc::phi0 (982 samples, 92.47%)</title><rect x="6.9680%" y="533" width="92.4670%" height="15" fill="rgb(239,3,39)" fg:x="74" fg:w="982"/><text x="7.2180%" y="543.50">bachelorarbeit::calc::phi0</text></g><g><title>bachelorarbeit::calc::phi0 (1 samples, 0.09%)</title><rect x="99.3409%" y="517" width="0.0942%" height="15" fill="rgb(233,210,1)" fg:x="1055" fg:w="1"/><text x="99.5909%" y="527.50"></text></g><g><title>bachelorarbeit (1,057 samples, 99.53%)</title><rect x="0.0000%" y="869" width="99.5292%" height="15" fill="rgb(244,137,37)" fg:x="0" fg:w="1057"/><text x="0.2500%" y="879.50">bachelorarbeit</text></g><g><title>_start (984 samples, 92.66%)</title><rect x="6.8738%" y="853" width="92.6554%" height="15" fill="rgb(240,136,2)" fg:x="73" fg:w="984"/><text x="7.1238%" y="863.50">_start</text></g><g><title>_dl_start (1 samples, 0.09%)</title><rect x="99.4350%" y="837" width="0.0942%" height="15" fill="rgb(239,18,37)" fg:x="1056" fg:w="1"/><text x="99.6850%" y="847.50"></text></g><g><title>_dl_start_final (1 samples, 0.09%)</title><rect x="99.4350%" y="821" width="0.0942%" height="15" fill="rgb(218,185,22)" fg:x="1056" fg:w="1"/><text x="99.6850%" y="831.50"></text></g><g><title>_dl_sysdep_start (1 samples, 0.09%)</title><rect x="99.4350%" y="805" width="0.0942%" height="15" fill="rgb(225,218,4)" fg:x="1056" fg:w="1"/><text x="99.6850%" y="815.50"></text></g><g><title>dl_main (1 samples, 0.09%)</title><rect x="99.4350%" y="789" width="0.0942%" height="15" fill="rgb(230,182,32)" fg:x="1056" fg:w="1"/><text x="99.6850%" y="799.50"></text></g><g><title>_dl_map_object_deps (1 samples, 0.09%)</title><rect x="99.4350%" y="773" 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