OmniOpt2

generation_node	ACCURACY	recent_samples_size	n_samples	const	max_depth	threshold	RUNTIME
GenerationStep_1	0.8354849387619994	4000	120	0.9231833561729487	2	0.8	38.994250535964966
Name	Type	Lower bound	Upper bound	Type	Log Scale?
recent_samples_size	range	10	4000	int	No
n_samples	range	100	1000	int	No
const	range	0.1	1	float	No
max_depth	range	2	4	int	No
threshold	range	0.2	0.8	float	No
Failed	Succeeded	Running	Total
0	199	2	201
name	min/max
ACCURACY	max
RUNTIME	min
Skipped tabs:
Job-Infos
Single Logs
<!DOCTYPE html>
<html lang='en'>
	<head>
		<meta charset='UTF-8'>
		<meta name='viewport' content='width=device-width, initial-scale=1.0'>
		<title>Exported &raquo;s4122485/BNDM_TMDBalanced5s_HoeffdingTreeClassifier_ACC-RUNTIME/0&laquo; from OmniOpt2-Share</title>
		<script src='https://code.jquery.com/jquery-3.7.1.js'></script>
		<script src='https://cdnjs.cloudflare.com/ajax/libs/gridjs/6.2.0/gridjs.production.min.js'></script>
		<script src='https://cdn.jsdelivr.net/npm/plotly.js-dist@3.0.1/plotly.min.js'></script>
		<link rel='stylesheet' href='https://cdnjs.cloudflare.com/ajax/libs/gridjs/6.2.0/theme/mermaid.css'>
		<style>
			#share_path {
				color: black;
			}
			
			.debug_log_pre {
				min-width: 300px;
			}
			
			body.dark-mode {
				background-color: #1e1e1e; color: #fff;
			}
			
			.plot-container {
				margin-bottom: 2rem;
			}
			
			.spinner {
				border: 4px solid #f3f3f3;
				border-top: 4px solid #3498db;
				border-radius: 50%;
				width: 40px;
				height: 40px;
				animation: spin 2s linear infinite;
				margin: auto;
			}
			
			@keyframes spin {
				0% { transform: rotate(0deg); }
				100% { transform: rotate(360deg); }
			}
			
			.tabs {
				margin-bottom: 20px;
			}
			
			.tab-content {
				display: none;
			}
			
			.tab-content.active {
				display: block;
			}
			
			pre {
				color: #00CC00 !important;
				background-color: black !important;
				font-family: monospace !important;
				line-break: anywhere;
			}
			
			menu[role="tablist"] {
				display: flex;
				flex-wrap: wrap;
				gap: 4px;
				max-width: 100%;
				max-height: 100px;
				overflow: scroll;
			}
			
			menu[role="tablist"] button {
				white-space: nowrap;
				min-width: 100px;
			}
			
			.container {
				max-width: 100% !important;
			}
			
			.gridjs-sort {
				min-width: 1px !important;
			}
			
			td.gridjs-td {
				overflow: clip;
			}
			
			.title-bar-text {
				font-size: 22px;
				display: block ruby;
			}
			
			.title-bar {
				height: fit-content;
			}
			
			.window {
				width: fit-content;
				min-width: 100%;
			}
			
			.top_link {
				display: inline-block;
				padding: 5px 5px;
				background-color: #007bff; /* Blau, kannst du anpassen */
				color: white;
				text-decoration: none;
				font-size: 16px;
				font-weight: bold;
				border-radius: 6px;
				border: 2px solid #0056b3;
				text-align: center;
				transition: all 0.3s ease-in-out;
			}
			
			.top_link:hover {
				background-color: #0056b3;
				border-color: #004494;
			}
			
			.top_link:active {
				background-color: #003366;
				border-color: #002244;
			}
			
			button {
				color: black;
			}
			
			.share_folder_buttons {
				width: fit-content;
			}
			
			button {
				background: #fcfcfe;
				border-color: #919b9c;
				border-top-color: rgb(145, 155, 156);
				border-bottom-color: rgb(145, 155, 156);
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c;
			}
			
			button {
				padding-bottom: 2px;
				margin-top: -2px;
				background-color: #ece9d8;
				position: relative;
				z-index: 8;
				margin-left: -3px;
				margin-bottom: 1px;
			}
			
			.window {
				min-width: 1100px;
			}
			
			.error_text {
				color: red;
			}
			
			[role="tab"] {
				padding: 10px !important;
			}
			
			[role="tabpanel"] {
				min-width: fit-content;
			}
			
			select {
				border: 1px solid #7f9db9;
				background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 -0.5 15 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e6eefc' d='M0 0h1'/%3E%3Cpath stroke='%23d1e0fd' d='M1 0h1M0 1h1m3 0h2M2 3h1M2 4h1'/%3E%3Cpath stroke='%23cad8f9' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23c4d3f7' d='M3 0h1M0 3h1M0 4h1'/%3E%3Cpath stroke='%23bfd0f8' d='M4 0h2M0 5h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 0h1M0 6h1'/%3E%3Cpath stroke='%23baccf4' d='M7 0h1m6 2h1m-1 5h1m-1 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M8 0h1M0 7h1M0 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M9 0h2M0 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 0h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 0h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 0h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 0h1'/%3E%3Cpath stroke='%23e1eafe' d='M1 1h1'/%3E%3Cpath stroke='%23dae6fe' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23d4e1fc' d='M3 1h1M1 3h1M1 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 1h1M1 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 1h1M4 2h2'/%3E%3Cpath stroke='%23cad9fd' d='M8 1h1M6 2h1M3 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M9 1h2'/%3E%3Cpath stroke='%23c5d6fc' d='M11 1h1M2 11h4'/%3E%3Cpath stroke='%23c2d3fc' d='M12 1h1m-2 1h1M1 11h1m0 1h2m-2 1h2'/%3E%3Cpath stroke='%23bccefa' d='M13 1h1m-1 1h1m-1 1h1m-1 1h1M3 15h4'/%3E%3Cpath stroke='%23b9c9f3' d='M14 1h1M3 16h4'/%3E%3Cpath stroke='%23d8e3fc' d='M2 2h1'/%3E%3Cpath stroke='%23d1defd' d='M3 2h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 2h1M4 3h3M4 4h3M3 6h1m1 0h2M1 7h1M1 8h1'/%3E%3Cpath stroke='%23c5d5fc' d='M8 2h1m-8 8h5'/%3E%3Cpath stroke='%23c5d3fc' d='M9 2h2'/%3E%3Cpath stroke='%23bed0fc' d='M12 2h1M8 3h1M8 4h1m-8 8h1m-1 1h1m0 1h1m1 0h3'/%3E%3Cpath stroke='%23cddbfc' d='M3 3h1M3 4h1M1 6h2'/%3E%3Cpath stroke='%23c8d5fb' d='M7 3h1M7 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M9 3h4M9 4h4M8 5h1M7 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 3h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23ceddfd' d='M2 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M4 5h4M1 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M9 5h2m1 0h2M1 14h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M8 6h2m2 0h2m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%234d6185' d='M4 6h1m5 0h1M3 7h3m3 0h3M4 8h3m1 0h3M5 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1m-1 1h1'/%3E%3Cpath stroke='%23cad8fd' d='M2 7h1M2 8h2'/%3E%3Cpath stroke='%23c1d3fb' d='M6 7h2M7 8h1M4 9h1'/%3E%3Cpath stroke='%23b6cefb' d='M8 7h1m2 1h1m-2 1h3m-2 1h2'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-6 6h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b4c8f6' d='M0 10h1'/%3E%3Cpath stroke='%23bdd3fb' d='M9 10h2m-4 4h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 10h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 10h1'/%3E%3Cpath stroke='%23b1c7f6' d='M0 11h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M8 11h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M9 11h4m-2 3h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 11h1m-3 4h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 11h1m-7 5h3'/%3E%3Cpath stroke='%23adc3f6' d='M0 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c2d5fc' d='M4 12h4m-4 1h4'/%3E%3Cpath stroke='%23b7d3fc' d='M9 12h2m-2 1h2m-3 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 12h1m-1 1h1'/%3E%3Cpath stroke='%23afcdfb' d='M12 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afcbfa' d='M13 12h1m-1 1h1'/%3E%3Cpath stroke='%23b2c8f4' d='M14 12h1m-1 1h1m-4 3h1'/%3E%3Cpath stroke='%23c1d2fb' d='M3 14h1'/%3E%3Cpath stroke='%23b6d1fb' d='M9 14h2'/%3E%3Cpath stroke='%23adc9f9' d='M13 14h1m-2 1h1'/%3E%3Cpath stroke='%23b1c6f3' d='M14 14h1m-3 2h1'/%3E%3Cpath stroke='%23abc1f4' d='M0 15h1'/%3E%3Cpath stroke='%23b7cbf9' d='M1 15h1'/%3E%3Cpath stroke='%23b9cefb' d='M2 15h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 15h1'/%3E%3Cpath stroke='%23b2cdfb' d='M9 15h2'/%3E%3Cpath stroke='%23aec8f7' d='M13 15h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 15h1m-2 1h1'/%3E%3Cpath stroke='%23dbe3f8' d='M0 16h1'/%3E%3Cpath stroke='%23b7c6f1' d='M1 16h1'/%3E%3Cpath stroke='%23b8c9f2' d='M2 16h1m4 0h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 16h1'/%3E%3C/svg%3E");
				background-size: 15px;
				font-size: 11px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				height: 21px;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				position: relative;
				padding: 5px 32px 32px 5px;
				background-position: top 50% right 2px;
				background-repeat: no-repeat;
				border-radius: 0;
				border: 1px solid black;
			}
			

			body {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
				background-color: #fafafa;
				font-variant: oldstyle-nums;
				text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
				scroll-behavior: smooth;
				text-wrap: balance;
				text-rendering: optimizeLegibility;
				-webkit-font-smoothing: antialiased;
				-moz-osx-font-smoothing: grayscale;
				font-feature-settings: "ss02", "liga", "onum";
			}
			
			.marked_text {
				background-color: yellow;
			}
			
			.time_picker_container {
				font-variant: small-caps;
				width: 100%;
			}
			
			.time_picker_container > input {
				width: 50px;
			}
			
			#loader {
				display: grid;
				justify-content: center;
				align-items: center;
				height: 100%;
			}
			
			.no_linebreak {
				line-break: auto;
			}
			
			.dark_code_bg {
				background-color: #363636;
				color: white;
			}
			
			.code_bg {
				background-color: #C0C0C0;
			}
			
			#commands {
				line-break: anywhere;
			}
			
			.color_red {
				color: red;
			}
			
			.color_orange {
				color: orange;
			}
			
			table > tbody > tr:nth-child(odd) {
				background-color: #fafafa;
			}
			
			table > tbody > tr:nth-child(even) {
				background-color: #ddd;
			}
			
			table {
				border-collapse: collapse;
				margin: 25px 0;
				min-width: 200px;
			}
			
			th {
				background-color: #4eae46;
				color: #ffffff;
				text-align: left;
				border: 0px;
			}
			
			.error_element {
				background-color: #e57373;
				border-radius: 10px;
				padding: 4px;
				display: none;
			}
			
			button {
				background-color: #4eae46;
				border: 1px solid #2A8387;
				border-radius: 4px;
				box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
				cursor: pointer;
				display: block;
				line-height: 100%;
				outline: 0;
				padding: 11px 15px 12px;
				text-align: center;
				transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
				user-select: none;
				-webkit-user-select: none;
				touch-action: manipulation;
			}
			
			button:hover {
				box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
				text-decoration: none;
				transition-duration: .15s, .15s;
			}
			
			button:active {
				box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
			}
			
			button:disabled {
				cursor: not-allowed;
				opacity: .6;
			}
			
			button:disabled:active {
				pointer-events: none;
			}
			
			button:disabled:hover {
				box-shadow: none;
			}
			
			.half_width_td {
				vertical-align: baseline;
				width: 50%;
			}
			
			#scads_bar {
				width: 100%;
				min-height: 80px;
				margin: 0;
				padding: 0;
				user-select: none;
				user-drag: none;
				-webkit-user-drag: none;
				user-select: none;
				-moz-user-select: none;
				-webkit-user-select: none;
				-ms-user-select: none;
				display: -webkit-box;
			}
			
			.tab {
				display: inline-block;
				padding: 0px;
				margin: 0px;
				font-size: 16px;
				font-weight: bold;
				text-align: center;
				border-radius: 25px;
				text-decoration: none !important;
				transition: background-color 0.3s, color 0.3s;
				color: unset !important;
			}
			
			.tooltipster-base {
				border: 1px solid black;
				position: absolute;
				border-radius: 8px;
				padding: 2px;
				color: white;
				background-color: #61686f;
				width: 70%;
				min-width: 200px;
				pointer-events: none;
			}
			
			td {
				padding-top: 3px;
				padding-bottom: 3px;
			}
			
			.left_side {
				text-align: right;
			}
			
			.right_side {
				text-align: left;
			}
			
			.spinner {
				border: 8px solid rgba(0, 0, 0, 0.1);
				border-left: 8px solid #3498db;
				border-radius: 50%;
				width: 50px;
				height: 50px;
				animation: spin 1s linear infinite;
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			#spinner-overlay {
				-webkit-text-stroke: 1px black;
				white !important;
				position: fixed;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				display: flex;
				justify-content: center;
				align-items: center;
				z-index: 9999;
			}
			
			#spinner-container {
				text-align: center;
				color: #fff;
				display: contents;
			}
			
			#spinner-text {
				font-size: 3vw;
				margin-left: 10px;
			}
			
			a, a:visited, a:active, a:hover, a:link {
				color: #007bff;
				text-decoration: none;
			}
			
			.copy-container {
				display: inline-block;
				position: relative;
				cursor: pointer;
				margin-left: 10px;
				color: blue;
			}
			
			.copy-container:hover {
				text-decoration: underline;
			}
			
			.clipboard-icon {
				position: absolute;
				top: 5px;
				right: 5px;
				font-size: 1.5em;
			}
			
			#main_tab {
				overflow: scroll;
				width: max-content;
			}
			
			.ui-tabs .ui-tabs-nav li {
				user-select: none;
			}
			
			.stacktrace_table {
				background-color: black !important;
				color: white !important;
			}
			
			#breadcrumb {
				user-select: none;
			}
			
			#statusBar {
				user-select: none;
			}
			
			.error_line {
				background-color: red !important;
				color: white !important;
			}
			
			.header_table {
				border: 0px !important;
				padding: 0px !important;
				width: revert !important;
				min-width: revert !important;
			}
			
			.img_auto_width {
				max-width: revert !important;
			}
			
			#main_dir_or_plot_view {
				display: inline-grid;
			}
			
			#refresh_button {
				width: 300px;
			}
			
			._share_link {
				color: black !important;
			}
			
			#footer_element {
				height: 30px;
				background-color: #f8f9fa;
				padding: 0px;
				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 60px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
				color: #007bff;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					font-size: 2em;
				}
			}
			
			.header_button {
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M6 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h3'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1M8 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h3M3 8h2'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M9 6h2m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%234d6185' d='M5 6h1m5 0h1M4 7h3m3 0h3M5 8h3m1 0h3M6 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23c1d3fb' d='M7 7h2M8 8h1'/%3E%3Cpath stroke='%23b6cefb' d='M9 7h1m2 1h1m-2 1h2'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h3m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c2d5fc' d='M6 11h2'/%3E%3Cpath stroke='%23bad4fc' d='M9 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23bdd3fb' d='M8 12h1'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1M1 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 2h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 2h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 2h1'/%3E%3Cpath stroke='%23e1eafe' d='M2 3h1'/%3E%3Cpath stroke='%23dae6fe' d='M3 3h1M2 4h1'/%3E%3Cpath stroke='%23d4e1fc' d='M4 3h1M2 5h1'/%3E%3Cpath stroke='%23d1e0fd' d='M5 3h1M3 5h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 3h1M2 6h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 3h1M5 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M8 3h1M4 5h1M2 7h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 3h1M6 4h1M4 6h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 3h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 3h1m-9 7h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 3h1m-2 1h1M2 10h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 3h1m-1 2h1M4 13h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 3h1M4 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 3h1'/%3E%3Cpath stroke='%23d8e3fc' d='M3 4h1'/%3E%3Cpath stroke='%23d1defd' d='M4 4h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 4h1M5 5h2M4 7h1M2 8h1'/%3E%3Cpath stroke='%234d6185' d='M8 4h1M7 5h3M6 6h3M5 7h3M4 8h3M5 9h3m-2 1h3m-2 1h3m-2 1h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 4h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 4h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 4h1M2 11h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 4h1'/%3E%3Cpath stroke='%23baccf4' d='M14 4h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 4h1'/%3E%3Cpath stroke='%23c4d4f7' d='M1 5h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 5h3M9 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 5h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 5h1'/%3E%3Cpath stroke='%23bed0f8' d='M1 6h1'/%3E%3Cpath stroke='%23ceddfd' d='M3 6h1'/%3E%3Cpath stroke='%23c8d6fb' d='M5 6h1M2 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M10 6h1m1 0h2M2 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 6h1M8 7h3m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 6h1'/%3E%3Cpath stroke='%23cddafc' d='M3 7h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 7h1'/%3E%3Cpath stroke='%23cad8fd' d='M3 8h1'/%3E%3Cpath stroke='%23c1d3fb' d='M7 8h2'/%3E%3Cpath stroke='%23b6cefb' d='M9 8h3M9 9h4'/%3E%3Cpath stroke='%23bacbf4' d='M14 8h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 8h1m-1 1h1m-1 4h1'/%3E%3Cpath stroke='%23bdd3fb' d='M8 9h1m-2 3h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-5 4h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b1c7f6' d='M1 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h3m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%239fb5d2' d='M16 10h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23adc3f6' d='M1 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M4 11h1'/%3E%3Cpath stroke='%23c2d5fc' d='M5 11h2'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M1 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M4 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M5 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M1 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M2 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M3 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M6 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 13h1'/%3E%3Cpath stroke='%23b8cffa' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M1 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M2 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M3 14h1m3 0h2'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M0 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 2h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 2h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 2h1'/%3E%3Cpath stroke='%23e1eafe' d='M2 3h1'/%3E%3Cpath stroke='%23dae6fe' d='M3 3h1M2 4h1'/%3E%3Cpath stroke='%23d4e1fc' d='M4 3h1M2 5h1'/%3E%3Cpath stroke='%23d1e0fd' d='M5 3h1M3 5h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 3h1M2 6h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 3h1M5 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M8 3h1M4 5h1M2 7h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 3h1M6 4h1M4 6h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 3h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 3h1m-9 7h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 3h1m-2 1h1M2 10h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 3h1m-1 2h1M4 13h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 3h1M4 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 3h1'/%3E%3Cpath stroke='%23d8e3fc' d='M3 4h1'/%3E%3Cpath stroke='%23d1defd' d='M4 4h1'/%3E%3Cpath stroke='%234d6185' d='M7 4h1M6 5h3M7 6h3M8 7h3M9 8h3M8 9h3m-4 1h3m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23c8d6fb' d='M8 4h1M5 6h2'/%3E%3Cpath stroke='%23c5d5fc' d='M9 4h1M2 9h5'/%3E%3Cpath stroke='%23c5d3fc' d='M10 4h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 4h1M9 5h1m-8 6h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 4h1'/%3E%3Cpath stroke='%23baccf4' d='M14 4h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 4h1'/%3E%3Cpath stroke='%23c4d4f7' d='M1 5h1'/%3E%3Cpath stroke='%23c9d8fc' d='M5 5h1M4 7h3M2 8h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 5h3M7 7h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 5h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 5h1'/%3E%3Cpath stroke='%23bed0f8' d='M1 6h1'/%3E%3Cpath stroke='%23ceddfd' d='M3 6h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 6h1m1 0h2M2 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 6h1m0 1h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 6h1'/%3E%3Cpath stroke='%23cddafc' d='M3 7h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 7h1'/%3E%3Cpath stroke='%23cad8fd' d='M3 8h3'/%3E%3Cpath stroke='%23c1d3fb' d='M6 8h3'/%3E%3Cpath stroke='%23bacbf4' d='M14 8h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 8h1m-1 5h1'/%3E%3Cpath stroke='%23b4c8f6' d='M1 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M7 9h1m-3 2h1'/%3E%3Cpath stroke='%23b6cefb' d='M11 9h2'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M1 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 10h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h3m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M1 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M4 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M1 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M4 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M5 12h2'/%3E%3Cpath stroke='%23bbd3fd' d='M8 12h1'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M1 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M2 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M3 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M6 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 13h1'/%3E%3Cpath stroke='%23b8cffa' d='M8 13h1'/%3E%3Cpath stroke='%23b6cdfb' d='M9 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M1 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M2 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M3 14h1m3 0h2'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M0 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%236696eb' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23e5edfb' d='M2 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h16M0 2h1M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m4 0h7m8 0h1M0 14h1m4 0h7m8 0h1M0 15h1m4 0h7m8 0h1M0 16h1m19 0h1M0 17h1m19 0h1m-1 1h1M2 20h16'/%3E%3Cpath stroke='%236693e9' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23dce5fd' d='M1 1h1'/%3E%3Cpath stroke='%23739af8' d='M2 1h1'/%3E%3Cpath stroke='%23608cf7' d='M3 1h1M2 8h1'/%3E%3Cpath stroke='%235584f6' d='M4 1h1'/%3E%3Cpath stroke='%234d7ef6' d='M5 1h1M1 6h1m5 4h1'/%3E%3Cpath stroke='%23487af5' d='M6 1h1'/%3E%3Cpath stroke='%234276f5' d='M7 1h1M3 14h1'/%3E%3Cpath stroke='%234478f5' d='M8 1h1m5 3h1M2 12h1'/%3E%3Cpath stroke='%233e73f5' d='M9 1h2'/%3E%3Cpath stroke='%233b71f5' d='M11 1h2'/%3E%3Cpath stroke='%23336cf4' d='M13 1h2'/%3E%3Cpath stroke='%23306af4' d='M15 1h1'/%3E%3Cpath stroke='%232864f4' d='M16 1h1'/%3E%3Cpath stroke='%231f5def' d='M17 1h1'/%3E%3Cpath stroke='%233467e0' d='M18 1h1'/%3E%3Cpath stroke='%23d2dbf2' d='M19 1h1'/%3E%3Cpath stroke='%23769cf8' d='M1 2h1'/%3E%3Cpath stroke='%2390aff9' d='M2 2h1'/%3E%3Cpath stroke='%2394b2f9' d='M3 2h1'/%3E%3Cpath stroke='%2385a7f8' d='M4 2h1'/%3E%3Cpath stroke='%23759cf8' d='M5 2h1'/%3E%3Cpath stroke='%236e97f8' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%236892f7' d='M7 2h1'/%3E%3Cpath stroke='%236690f7' d='M8 2h1'/%3E%3Cpath stroke='%23628ef7' d='M9 2h1m0 1h1'/%3E%3Cpath stroke='%235f8cf7' d='M10 2h1'/%3E%3Cpath stroke='%235e8bf7' d='M11 2h1'/%3E%3Cpath stroke='%235988f6' d='M12 2h1'/%3E%3Cpath stroke='%235685f6' d='M13 2h1'/%3E%3Cpath stroke='%235082f6' d='M14 2h1'/%3E%3Cpath stroke='%23497cf5' d='M15 2h1'/%3E%3Cpath stroke='%233f75f5' d='M16 2h1m-2 2h1'/%3E%3Cpath stroke='%23326bf2' d='M17 2h1'/%3E%3Cpath stroke='%23235ce3' d='M18 2h1'/%3E%3Cpath stroke='%23305cc5' d='M19 2h1'/%3E%3Cpath stroke='%23e5ecfb' d='M20 2h1'/%3E%3Cpath stroke='%236590f7' d='M1 3h1'/%3E%3Cpath stroke='%2397b4f9' d='M2 3h1'/%3E%3Cpath stroke='%239ab7fa' d='M3 3h1'/%3E%3Cpath stroke='%2389aaf9' d='M4 3h1M2 4h1'/%3E%3Cpath stroke='%237aa0f8' d='M5 3h1'/%3E%3Cpath stroke='%23729af8' d='M6 3h1'/%3E%3Cpath stroke='%236d95f8' d='M7 3h1'/%3E%3Cpath stroke='%236892f8' d='M8 3h1M2 7h1'/%3E%3Cpath stroke='%23658ff7' d='M9 3h1'/%3E%3Cpath stroke='%23618df7' d='M11 3h1'/%3E%3Cpath stroke='%235d8af7' d='M12 3h1M3 9h1'/%3E%3Cpath stroke='%235987f6' d='M13 3h1M2 9h1'/%3E%3Cpath stroke='%235283f6' d='M14 3h1'/%3E%3Cpath stroke='%234c7ef6' d='M15 3h1'/%3E%3Cpath stroke='%234377f5' d='M16 3h1'/%3E%3Cpath stroke='%23376ef2' d='M17 3h1'/%3E%3Cpath stroke='%23285fe3' d='M18 3h1'/%3E%3Cpath stroke='%231546b9' d='M19 3h1'/%3E%3Cpath stroke='%235886f6' d='M1 4h1'/%3E%3Cpath stroke='%238dadf9' d='M3 4h1'/%3E%3Cpath stroke='%237fa3f8' d='M4 4h1'/%3E%3Cpath stroke='%237199f8' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%236a93f8' d='M6 4h1M4 6h1M3 7h1'/%3E%3Cpath stroke='%23648ef7' d='M7 4h1'/%3E%3Cpath stroke='%235e8af7' d='M8 4h1'/%3E%3Cpath stroke='%235986f7' d='M9 4h1M5 9h1m-2 1h1'/%3E%3Cpath stroke='%235482f6' d='M10 4h1'/%3E%3Cpath stroke='%235180f6' d='M11 4h1'/%3E%3Cpath stroke='%234b7cf5' d='M12 4h1'/%3E%3Cpath stroke='%234a7cf5' d='M13 4h1'/%3E%3Cpath stroke='%233a72f4' d='M16 4h1'/%3E%3Cpath stroke='%23346cf2' d='M17 4h1'/%3E%3Cpath stroke='%232a61e3' d='M18 4h1'/%3E%3Cpath stroke='%231848bb' d='M19 4h1'/%3E%3Cpath stroke='%235282f6' d='M1 5h1m4 6h1m-3 1h1'/%3E%3Cpath stroke='%23799ff8' d='M2 5h1'/%3E%3Cpath stroke='%237ca1f8' d='M3 5h1'/%3E%3Cpath stroke='%236791f8' d='M5 5h1'/%3E%3Cpath stroke='%23608bf7' d='M6 5h1M4 8h1'/%3E%3Cpath stroke='%235985f7' d='M7 5h1'/%3E%3Cpath stroke='%235381f6' d='M8 5h1M6 9h1'/%3E%3Cpath stroke='%234d7bf6' d='M9 5h1M8 6h1'/%3E%3Cpath stroke='%234677f5' d='M10 5h1'/%3E%3Cpath stroke='%234173f5' d='M11 5h1'/%3E%3Cpath stroke='%233a6ff4' d='M12 5h1'/%3E%3Cpath stroke='%23386ef4' d='M13 5h1'/%3E%3Cpath stroke='%23346cf4' d='M14 5h1'/%3E%3Cpath stroke='%23326cf4' d='M15 5h1'/%3E%3Cpath stroke='%23316bf4' d='M16 5h1M3 16h1'/%3E%3Cpath stroke='%233069f1' d='M17 5h1'/%3E%3Cpath stroke='%232c62e4' d='M18 5h1'/%3E%3Cpath stroke='%231d4cbc' d='M19 5h1m-1 1h1'/%3E%3Cpath stroke='%237099f8' d='M3 6h1'/%3E%3Cpath stroke='%23628cf8' d='M5 6h1'/%3E%3Cpath stroke='%235b86f7' d='M6 6h1'/%3E%3Cpath stroke='%235480f7' d='M7 6h1'/%3E%3Cpath stroke='%234777f6' d='M9 6h1'/%3E%3Cpath stroke='%234072f5' d='M10 6h1'/%3E%3Cpath stroke='%233a6ff5' d='M11 6h1'/%3E%3Cpath stroke='%23346df4' d='M12 6h1'/%3E%3Cpath stroke='%23306bf4' d='M13 6h1'/%3E%3Cpath stroke='%232d69f4' d='M14 6h1'/%3E%3Cpath stroke='%232c69f5' d='M15 6h1'/%3E%3Cpath stroke='%232d69f5' d='M16 6h1'/%3E%3Cpath stroke='%232e69f2' d='M17 6h1'/%3E%3Cpath stroke='%232c63e5' d='M18 6h1'/%3E%3Cpath stroke='%234679f5' d='M1 7h1M1 8h1'/%3E%3Cpath stroke='%23658ff8' d='M4 7h1'/%3E%3Cpath stroke='%235e89f7' d='M5 7h1'/%3E%3Cpath stroke='%235783f7' d='M6 7h1'/%3E%3Cpath stroke='%23507ef6' d='M7 7h1'/%3E%3Cpath stroke='%234a79f6' d='M8 7h1'/%3E%3Cpath stroke='%234375f5' d='M9 7h1'/%3E%3Cpath stroke='%233d71f5' d='M10 7h1'/%3E%3Cpath stroke='%23366ef4' d='M11 7h1M2 14h1'/%3E%3Cpath stroke='%232f6bf5' d='M12 7h1'/%3E%3Cpath stroke='%232b69f5' d='M13 7h1'/%3E%3Cpath stroke='%232867f5' d='M14 7h1'/%3E%3Cpath stroke='%232766f5' d='M15 7h1'/%3E%3Cpath stroke='%232a68f5' d='M16 7h1'/%3E%3Cpath stroke='%232c69f2' d='M17 7h1'/%3E%3Cpath stroke='%232a62e4' d='M18 7h1'/%3E%3Cpath stroke='%231c4cbd' d='M19 7h1'/%3E%3Cpath stroke='%23628df8' d='M3 8h1'/%3E%3Cpath stroke='%235b87f7' d='M5 8h1'/%3E%3Cpath stroke='%235482f7' d='M6 8h1'/%3E%3Cpath stroke='%234e7cf6' d='M7 8h1'/%3E%3Cpath stroke='%234778f6' d='M8 8h1'/%3E%3Cpath stroke='%234174f5' d='M9 8h1'/%3E%3Cpath stroke='%233a71f5' d='M10 8h1'/%3E%3Cpath stroke='%23346ef4' d='M11 8h1'/%3E%3Cpath stroke='%232d6bf5' d='M12 8h1'/%3E%3Cpath stroke='%232869f5' d='M13 8h1'/%3E%3Cpath stroke='%232467f5' d='M14 8h1'/%3E%3Cpath stroke='%232266f5' d='M15 8h1'/%3E%3Cpath stroke='%232567f5' d='M16 8h1'/%3E%3Cpath stroke='%232968f2' d='M17 8h1'/%3E%3Cpath stroke='%232963e4' d='M18 8h1'/%3E%3Cpath stroke='%231b4bbd' d='M19 8h1'/%3E%3Cpath stroke='%233c72f4' d='M1 9h1'/%3E%3Cpath stroke='%235d89f7' d='M4 9h1'/%3E%3Cpath stroke='%234e7ef6' d='M7 9h1'/%3E%3Cpath stroke='%23477af5' d='M8 9h1'/%3E%3Cpath stroke='%234178f5' d='M9 9h1'/%3E%3Cpath stroke='%233a74f5' d='M10 9h1'/%3E%3Cpath stroke='%233472f5' d='M11 9h1'/%3E%3Cpath stroke='%232c6ff5' d='M12 9h1'/%3E%3Cpath stroke='%23276cf5' d='M13 9h1'/%3E%3Cpath stroke='%23236af6' d='M14 9h1'/%3E%3Cpath stroke='%232069f6' d='M15 9h1'/%3E%3Cpath stroke='%232268f5' d='M16 9h1'/%3E%3Cpath stroke='%232569f2' d='M17 9h1'/%3E%3Cpath stroke='%232562e6' d='M18 9h1'/%3E%3Cpath stroke='%23194bbe' d='M19 9h1'/%3E%3Cpath stroke='%23376ef4' d='M1 10h1'/%3E%3Cpath stroke='%235181f6' d='M2 10h1'/%3E%3Cpath stroke='%235785f7' d='M3 10h1m1 0h1'/%3E%3Cpath stroke='%235281f6' d='M6 10h1'/%3E%3Cpath stroke='%23477bf6' d='M8 10h1'/%3E%3Cpath stroke='%234179f6' d='M9 10h1'/%3E%3Cpath stroke='%233b77f5' d='M10 10h1'/%3E%3Cpath stroke='%233474f5' d='M11 10h1'/%3E%3Cpath stroke='%232c72f6' d='M12 10h1'/%3E%3Cpath stroke='%23266ff6' d='M13 10h1'/%3E%3Cpath stroke='%23226df6' d='M14 10h1'/%3E%3Cpath stroke='%231e6bf6' d='M15 10h1'/%3E%3Cpath stroke='%231f6af6' d='M16 10h1'/%3E%3Cpath stroke='%23216af3' d='M17 10h1'/%3E%3Cpath stroke='%232162e6' d='M18 10h1'/%3E%3Cpath stroke='%231649be' d='M19 10h1'/%3E%3Cpath stroke='%23326bf4' d='M1 11h1'/%3E%3Cpath stroke='%234b7df5' d='M2 11h1'/%3E%3Cpath stroke='%235483f6' d='M3 11h1'/%3E%3Cpath stroke='%235684f7' d='M4 11h1'/%3E%3Cpath stroke='%235583f7' d='M5 11h1'/%3E%3Cpath stroke='%234d80f6' d='M7 11h1'/%3E%3Cpath stroke='%23487df6' d='M8 11h1'/%3E%3Cpath stroke='%23427cf6' d='M9 11h1'/%3E%3Cpath stroke='%233c7af6' d='M10 11h1'/%3E%3Cpath stroke='%233478f6' d='M11 11h1'/%3E%3Cpath stroke='%232d76f6' d='M12 11h1'/%3E%3Cpath stroke='%232673f7' d='M13 11h1'/%3E%3Cpath stroke='%232171f7' d='M14 11h1'/%3E%3Cpath stroke='%231c6ff6' d='M15 11h1'/%3E%3Cpath stroke='%231c6df6' d='M16 11h1'/%3E%3Cpath stroke='%231c6af4' d='M17 11h1'/%3E%3Cpath stroke='%231c61e6' d='M18 11h1'/%3E%3Cpath stroke='%231248bf' d='M19 11h1'/%3E%3Cpath stroke='%232b66f4' d='M1 12h1'/%3E%3Cpath stroke='%234e7ff6' d='M3 12h1'/%3E%3Cpath stroke='%235383f6' d='M5 12h1'/%3E%3Cpath stroke='%235182f6' d='M6 12h1'/%3E%3Cpath stroke='%234d81f7' d='M7 12h1'/%3E%3Cpath stroke='%23487ff6' d='M8 12h1'/%3E%3Cpath stroke='%23437ff6' d='M9 12h1'/%3E%3Cpath stroke='%233d7ef6' d='M10 12h1'/%3E%3Cpath stroke='%23357cf6' d='M11 12h1'/%3E%3Cpath stroke='%232d7af7' d='M12 12h1'/%3E%3Cpath stroke='%232677f7' d='M13 12h1'/%3E%3Cpath stroke='%232174f7' d='M14 12h1'/%3E%3Cpath stroke='%231b71f7' d='M15 12h1'/%3E%3Cpath stroke='%23186ef7' d='M16 12h1'/%3E%3Cpath stroke='%23186af4' d='M17 12h1'/%3E%3Cpath stroke='%23165fe7' d='M18 12h1'/%3E%3Cpath stroke='%230f47c0' d='M19 12h1'/%3E%3Cpath stroke='%232562f3' d='M1 13h1'/%3E%3Cpath stroke='%233d73f4' d='M2 13h1'/%3E%3Cpath stroke='%23487bf5' d='M3 13h1'/%3E%3Cpath stroke='%234e80f6' d='M4 13h1'/%3E%3Cpath stroke='%232d7cf7' d='M12 13h1'/%3E%3Cpath stroke='%232679f8' d='M13 13h1'/%3E%3Cpath stroke='%232077f7' d='M14 13h1'/%3E%3Cpath stroke='%231973f7' d='M15 13h1'/%3E%3Cpath stroke='%23166ff7' d='M16 13h1'/%3E%3Cpath stroke='%231369f4' d='M17 13h1'/%3E%3Cpath stroke='%23105de8' d='M18 13h1'/%3E%3Cpath stroke='%230a44bf' d='M19 13h1'/%3E%3Cpath stroke='%231e5df3' d='M1 14h1'/%3E%3Cpath stroke='%23497bf5' d='M4 14h1'/%3E%3Cpath stroke='%232d7df7' d='M12 14h1'/%3E%3Cpath stroke='%23257af8' d='M13 14h1'/%3E%3Cpath stroke='%231e77f8' d='M14 14h1'/%3E%3Cpath stroke='%231773f8' d='M15 14h1'/%3E%3Cpath stroke='%23116df7' d='M16 14h1'/%3E%3Cpath stroke='%230d66f4' d='M17 14h1m-3 3h1'/%3E%3Cpath stroke='%230b59e7' d='M18 14h1'/%3E%3Cpath stroke='%230641c0' d='M19 14h1m-6 5h1'/%3E%3Cpath stroke='%231859f3' d='M1 15h1'/%3E%3Cpath stroke='%232e68f4' d='M2 15h1'/%3E%3Cpath stroke='%233a71f4' d='M3 15h1'/%3E%3Cpath stroke='%234277f5' d='M4 15h1'/%3E%3Cpath stroke='%232a7cf8' d='M12 15h1'/%3E%3Cpath stroke='%23247af8' d='M13 15h1'/%3E%3Cpath stroke='%231d77f8' d='M14 15h1'/%3E%3Cpath stroke='%231573f8' d='M15 15h1'/%3E%3Cpath stroke='%230e6cf8' d='M16 15h1'/%3E%3Cpath stroke='%230963f4' d='M17 15h1'/%3E%3Cpath stroke='%230556e7' d='M18 15h1'/%3E%3Cpath stroke='%23023fbf' d='M19 15h1'/%3E%3Cpath stroke='%231456f3' d='M1 16h1'/%3E%3Cpath stroke='%232562f4' d='M2 16h1'/%3E%3Cpath stroke='%233971f4' d='M4 16h1'/%3E%3Cpath stroke='%233d74f5' d='M5 16h1'/%3E%3Cpath stroke='%233d74f6' d='M6 16h1'/%3E%3Cpath stroke='%233b75f5' d='M7 16h1'/%3E%3Cpath stroke='%233976f5' d='M8 16h1'/%3E%3Cpath stroke='%233777f5' d='M9 16h1'/%3E%3Cpath stroke='%233278f6' d='M10 16h1'/%3E%3Cpath stroke='%232c78f7' d='M11 16h1'/%3E%3Cpath stroke='%232577f7' d='M12 16h1'/%3E%3Cpath stroke='%231f76f7' d='M13 16h1'/%3E%3Cpath stroke='%231972f7' d='M14 16h1'/%3E%3Cpath stroke='%23116ef8' d='M15 16h1'/%3E%3Cpath stroke='%230b68f7' d='M16 16h1'/%3E%3Cpath stroke='%230560f4' d='M17 16h1'/%3E%3Cpath stroke='%230253e6' d='M18 16h1'/%3E%3Cpath stroke='%23013dbe' d='M19 16h1'/%3E%3Cpath stroke='%230e50ed' d='M1 17h1'/%3E%3Cpath stroke='%231c5bef' d='M2 17h1'/%3E%3Cpath stroke='%232863f0' d='M3 17h1'/%3E%3Cpath stroke='%232f68f0' d='M4 17h1'/%3E%3Cpath stroke='%23336bf1' d='M5 17h1'/%3E%3Cpath stroke='%23346cf1' d='M6 17h1'/%3E%3Cpath stroke='%23316cf2' d='M7 17h1'/%3E%3Cpath stroke='%23316df2' d='M8 17h1'/%3E%3Cpath stroke='%232e6ff2' d='M9 17h1'/%3E%3Cpath stroke='%232a70f2' d='M10 17h1'/%3E%3Cpath stroke='%232570f3' d='M11 17h1'/%3E%3Cpath stroke='%231f6ff3' d='M12 17h1'/%3E%3Cpath stroke='%23196df4' d='M13 17h1'/%3E%3Cpath stroke='%23136af4' d='M14 17h1'/%3E%3Cpath stroke='%230760f3' d='M16 17h1'/%3E%3Cpath stroke='%23025af0' d='M17 17h1'/%3E%3Cpath stroke='%23004de2' d='M18 17h1'/%3E%3Cpath stroke='%23003ab9' d='M19 17h1'/%3E%3Cpath stroke='%23e5eefd' d='M0 18h1'/%3E%3Cpath stroke='%23285edf' d='M1 18h1'/%3E%3Cpath stroke='%23134fdf' d='M2 18h1'/%3E%3Cpath stroke='%231b55df' d='M3 18h1'/%3E%3Cpath stroke='%23215ae2' d='M4 18h1'/%3E%3Cpath stroke='%23255ce1' d='M5 18h1'/%3E%3Cpath stroke='%23265de0' d='M6 18h1'/%3E%3Cpath stroke='%23245ce1' d='M7 18h1'/%3E%3Cpath stroke='%23235ee2' d='M8 18h1'/%3E%3Cpath stroke='%23215ee2' d='M9 18h1'/%3E%3Cpath stroke='%231e5ee2' d='M10 18h1'/%3E%3Cpath stroke='%231b5fe5' d='M11 18h1'/%3E%3Cpath stroke='%23165ee5' d='M12 18h1'/%3E%3Cpath stroke='%23135de6' d='M13 18h1'/%3E%3Cpath stroke='%230e5be5' d='M14 18h1'/%3E%3Cpath stroke='%230958e6' d='M15 18h1'/%3E%3Cpath stroke='%230454e6' d='M16 18h1'/%3E%3Cpath stroke='%23014ee2' d='M17 18h1'/%3E%3Cpath stroke='%230045d3' d='M18 18h1'/%3E%3Cpath stroke='%231f4eb8' d='M19 18h1'/%3E%3Cpath stroke='%23679ef6' d='M0 19h1m19 0h1'/%3E%3Cpath stroke='%23d0daf1' d='M1 19h1'/%3E%3Cpath stroke='%232856c3' d='M2 19h1'/%3E%3Cpath stroke='%230d3fb6' d='M3 19h1'/%3E%3Cpath stroke='%231144bd' d='M4 19h1'/%3E%3Cpath stroke='%231245bb' d='M5 19h1'/%3E%3Cpath stroke='%231445b9' d='M6 19h1'/%3E%3Cpath stroke='%231244b9' d='M7 19h1'/%3E%3Cpath stroke='%231345bc' d='M8 19h1'/%3E%3Cpath stroke='%231346bd' d='M9 19h1'/%3E%3Cpath stroke='%231045be' d='M10 19h1'/%3E%3Cpath stroke='%230d45c0' d='M11 19h1'/%3E%3Cpath stroke='%230a45c1' d='M12 19h1'/%3E%3Cpath stroke='%230844c3' d='M13 19h1'/%3E%3Cpath stroke='%23033fc0' d='M15 19h1'/%3E%3Cpath stroke='%23013fc3' d='M16 19h1'/%3E%3Cpath stroke='%23003bbe' d='M17 19h1'/%3E%3Cpath stroke='%231f4eb9' d='M18 19h1'/%3E%3Cpath stroke='%23cfd8ed' d='M19 19h1'/%3E%3Cpath stroke='%23669bf5' d='M1 20h1m17 0h1'/%3E%3Cpath stroke='%23e5edfd' d='M18 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Minimize]: hover{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%2393b1ed' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23f3f6fd' d='M2 0h1m17 2h1M0 18h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m4 0h7m8 0h1M0 14h1m4 0h7m8 0h1M0 15h1m4 0h7m8 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h11'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%2393b0ec' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23dce7ff' d='M1 1h1'/%3E%3Cpath stroke='%2372a1ff' d='M2 1h1m4 3h1M5 6h1'/%3E%3Cpath stroke='%236a9cff' d='M3 1h1'/%3E%3Cpath stroke='%235f94ff' d='M4 1h1M4 11h2'/%3E%3Cpath stroke='%23558eff' d='M5 1h1M3 12h1'/%3E%3Cpath stroke='%23518bff' d='M6 1h1m3 4h1'/%3E%3Cpath stroke='%234a86ff' d='M7 1h1'/%3E%3Cpath stroke='%234b87ff' d='M8 1h1m2 4h1M2 12h1'/%3E%3Cpath stroke='%234684ff' d='M9 1h2'/%3E%3Cpath stroke='%234482ff' d='M11 1h1m4 1h1m-5 3h1M1 9h1m0 4h1'/%3E%3Cpath stroke='%234080ff' d='M12 1h1M3 15h1'/%3E%3Cpath stroke='%233b7cff' d='M13 1h1'/%3E%3Cpath stroke='%233a7bff' d='M14 1h1'/%3E%3Cpath stroke='%233678ff' d='M15 1h1'/%3E%3Cpath stroke='%232e73ff' d='M16 1h1'/%3E%3Cpath stroke='%23276cf9' d='M17 1h1'/%3E%3Cpath stroke='%233a73e7' d='M18 1h1'/%3E%3Cpath stroke='%23d3ddf3' d='M19 1h1'/%3E%3Cpath stroke='%2373a1ff' d='M1 2h1'/%3E%3Cpath stroke='%2397b9ff' d='M2 2h1'/%3E%3Cpath stroke='%239cbdff' d='M3 2h1'/%3E%3Cpath stroke='%2390b5ff' d='M4 2h1'/%3E%3Cpath stroke='%2382acff' d='M5 2h1M5 4h1'/%3E%3Cpath stroke='%237ba7ff' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%2375a3ff' d='M7 2h1'/%3E%3Cpath stroke='%236f9fff' d='M8 2h1M3 8h1'/%3E%3Cpath stroke='%236c9dff' d='M9 2h1M1 3h1'/%3E%3Cpath stroke='%23689bff' d='M10 2h1M5 8h1M3 9h1'/%3E%3Cpath stroke='%236599ff' d='M11 2h1m0 1h1M5 9h1'/%3E%3Cpath stroke='%236095ff' d='M12 2h1m0 1h1M8 5h1'/%3E%3Cpath stroke='%235d93ff' d='M13 2h1'/%3E%3Cpath stroke='%23568eff' d='M14 2h1'/%3E%3Cpath stroke='%234f8aff' d='M15 2h1M3 13h1m0 1h1'/%3E%3Cpath stroke='%233878fb' d='M17 2h1'/%3E%3Cpath stroke='%232969eb' d='M18 2h1'/%3E%3Cpath stroke='%233566cb' d='M19 2h1'/%3E%3Cpath stroke='%239ebeff' d='M2 3h1'/%3E%3Cpath stroke='%23a4c2ff' d='M3 3h1'/%3E%3Cpath stroke='%2399baff' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%238ab0ff' d='M5 3h1'/%3E%3Cpath stroke='%2382abff' d='M6 3h1'/%3E%3Cpath stroke='%2379a6ff' d='M7 3h1'/%3E%3Cpath stroke='%2374a3ff' d='M8 3h1'/%3E%3Cpath stroke='%2371a0ff' d='M9 3h1'/%3E%3Cpath stroke='%236d9eff' d='M10 3h1M5 7h1M4 8h1'/%3E%3Cpath stroke='%23699bff' d='M11 3h1'/%3E%3Cpath stroke='%235a91ff' d='M14 3h1M2 10h1m1 2h1'/%3E%3Cpath stroke='%23538cff' d='M15 3h1M2 11h1'/%3E%3Cpath stroke='%234986ff' d='M16 3h1'/%3E%3Cpath stroke='%233d7cfc' d='M17 3h1'/%3E%3Cpath stroke='%232e6cea' d='M18 3h1'/%3E%3Cpath stroke='%231b52c2' d='M19 3h1'/%3E%3Cpath stroke='%236296ff' d='M1 4h1'/%3E%3Cpath stroke='%2391b5ff' d='M2 4h1'/%3E%3Cpath stroke='%238fb4ff' d='M4 4h1'/%3E%3Cpath stroke='%237aa6ff' d='M6 4h1'/%3E%3Cpath stroke='%236b9dff' d='M8 4h1'/%3E%3Cpath stroke='%236598ff' d='M9 4h1'/%3E%3Cpath stroke='%235f95ff' d='M10 4h1M7 7h1m-2 3h1'/%3E%3Cpath stroke='%235b92ff' d='M11 4h1'/%3E%3Cpath stroke='%23548dff' d='M12 4h1M1 6h1m2 7h1'/%3E%3Cpath stroke='%23528cff' d='M13 4h1'/%3E%3Cpath stroke='%234c88ff' d='M14 4h1m-5 2h1'/%3E%3Cpath stroke='%234785ff' d='M15 4h1'/%3E%3Cpath stroke='%234280ff' d='M16 4h1'/%3E%3Cpath stroke='%233b7afb' d='M17 4h1'/%3E%3Cpath stroke='%23316fec' d='M18 4h1'/%3E%3Cpath stroke='%231f55c3' d='M19 4h1'/%3E%3Cpath stroke='%235990ff' d='M1 5h1m7 0h1'/%3E%3Cpath stroke='%2385adff' d='M2 5h1'/%3E%3Cpath stroke='%238bb1ff' d='M3 5h1'/%3E%3Cpath stroke='%2384acff' d='M4 5h1'/%3E%3Cpath stroke='%2378a5ff' d='M5 5h1'/%3E%3Cpath stroke='%2370a0ff' d='M6 5h1'/%3E%3Cpath stroke='%23679aff' d='M7 5h1'/%3E%3Cpath stroke='%234180ff' d='M13 5h1'/%3E%3Cpath stroke='%233d7eff' d='M14 5h1'/%3E%3Cpath stroke='%233b7bff' d='M15 5h1'/%3E%3Cpath stroke='%23397aff' d='M16 5h1M1 11h1'/%3E%3Cpath stroke='%233979fc' d='M17 5h1'/%3E%3Cpath stroke='%233370ec' d='M18 5h1m-1 1h1'/%3E%3Cpath stroke='%232357c3' d='M19 5h1'/%3E%3Cpath stroke='%2381aaff' d='M3 6h1'/%3E%3Cpath stroke='%237aa7ff' d='M4 6h1'/%3E%3Cpath stroke='%236b9cff' d='M6 6h1'/%3E%3Cpath stroke='%236297ff' d='M7 6h1m-3 4h1'/%3E%3Cpath stroke='%235c93ff' d='M8 6h1M7 8h1m-2 3h1'/%3E%3Cpath stroke='%23548eff' d='M9 6h1'/%3E%3Cpath stroke='%234483ff' d='M11 6h1M5 16h1'/%3E%3Cpath stroke='%233d7fff' d='M12 6h1'/%3E%3Cpath stroke='%23387bff' d='M13 6h1'/%3E%3Cpath stroke='%233679ff' d='M14 6h1m1 0h1'/%3E%3Cpath stroke='%233579ff' d='M15 6h1'/%3E%3Cpath stroke='%233879fc' d='M17 6h1'/%3E%3Cpath stroke='%232358c5' d='M19 6h1'/%3E%3Cpath stroke='%234e89ff' d='M1 7h1'/%3E%3Cpath stroke='%2371a1ff' d='M2 7h1'/%3E%3Cpath stroke='%2377a5ff' d='M3 7h1'/%3E%3Cpath stroke='%2374a2ff' d='M4 7h1'/%3E%3Cpath stroke='%23669aff' d='M6 7h1'/%3E%3Cpath stroke='%235890ff' d='M8 7h1'/%3E%3Cpath stroke='%23508dff' d='M9 7h1'/%3E%3Cpath stroke='%234989ff' d='M10 7h1'/%3E%3Cpath stroke='%234183ff' d='M11 7h1'/%3E%3Cpath stroke='%233a7fff' d='M12 7h1'/%3E%3Cpath stroke='%23357bff' d='M13 7h1'/%3E%3Cpath stroke='%23317aff' d='M14 7h2'/%3E%3Cpath stroke='%23337aff' d='M16 7h1'/%3E%3Cpath stroke='%23367bfc' d='M17 7h1'/%3E%3Cpath stroke='%233372ed' d='M18 7h1'/%3E%3Cpath stroke='%232359c5' d='M19 7h1'/%3E%3Cpath stroke='%234d88ff' d='M1 8h1'/%3E%3Cpath stroke='%23699cff' d='M2 8h1'/%3E%3Cpath stroke='%236398ff' d='M6 8h1'/%3E%3Cpath stroke='%23548fff' d='M8 8h1'/%3E%3Cpath stroke='%234d8cff' d='M9 8h1'/%3E%3Cpath stroke='%23468aff' d='M10 8h1'/%3E%3Cpath stroke='%233f86ff' d='M11 8h1'/%3E%3Cpath stroke='%233983ff' d='M12 8h1'/%3E%3Cpath stroke='%233380ff' d='M13 8h1'/%3E%3Cpath stroke='%232f7fff' d='M14 8h2'/%3E%3Cpath stroke='%233280ff' d='M16 8h1'/%3E%3Cpath stroke='%233580fc' d='M17 8h1'/%3E%3Cpath stroke='%233276ed' d='M18 8h1'/%3E%3Cpath stroke='%23235ac6' d='M19 8h1'/%3E%3Cpath stroke='%236196ff' d='M2 9h1m3 0h1m-4 1h1'/%3E%3Cpath stroke='%23689aff' d='M4 9h1'/%3E%3Cpath stroke='%235b93ff' d='M7 9h1'/%3E%3Cpath stroke='%235491ff' d='M8 9h1'/%3E%3Cpath stroke='%234f90ff' d='M9 9h1'/%3E%3Cpath stroke='%234890ff' d='M10 9h1'/%3E%3Cpath stroke='%23428eff' d='M11 9h1'/%3E%3Cpath stroke='%233b8dff' d='M12 9h1'/%3E%3Cpath stroke='%23348aff' d='M13 9h1'/%3E%3Cpath stroke='%233189ff' d='M14 9h1'/%3E%3Cpath stroke='%232f88ff' d='M15 9h1'/%3E%3Cpath stroke='%233188ff' d='M16 9h1'/%3E%3Cpath stroke='%233385fc' d='M17 9h1'/%3E%3Cpath stroke='%233079ed' d='M18 9h1'/%3E%3Cpath stroke='%23215cc8' d='M19 9h1'/%3E%3Cpath stroke='%233f7fff' d='M1 10h1'/%3E%3Cpath stroke='%236397ff' d='M4 10h1'/%3E%3Cpath stroke='%235993ff' d='M7 10h1'/%3E%3Cpath stroke='%235492ff' d='M8 10h1'/%3E%3Cpath stroke='%235093ff' d='M9 10h1'/%3E%3Cpath stroke='%234a95ff' d='M10 10h1'/%3E%3Cpath stroke='%234496ff' d='M11 10h1'/%3E%3Cpath stroke='%233d96ff' d='M12 10h1'/%3E%3Cpath stroke='%233694ff' d='M13 10h1'/%3E%3Cpath stroke='%233193ff' d='M14 10h1'/%3E%3Cpath stroke='%232f92ff' d='M15 10h1'/%3E%3Cpath stroke='%233090ff' d='M16 10h1'/%3E%3Cpath stroke='%23328cfc' d='M17 10h1'/%3E%3Cpath stroke='%232e7def' d='M18 10h1'/%3E%3Cpath stroke='%231e5dc9' d='M19 10h1'/%3E%3Cpath stroke='%235c92ff' d='M3 11h1m1 1h1'/%3E%3Cpath stroke='%235792ff' d='M7 11h1m-1 1h1'/%3E%3Cpath stroke='%235594ff' d='M8 11h1'/%3E%3Cpath stroke='%235298ff' d='M9 11h1'/%3E%3Cpath stroke='%234d9cff' d='M10 11h1'/%3E%3Cpath stroke='%23479eff' d='M11 11h1'/%3E%3Cpath stroke='%23409fff' d='M12 11h1'/%3E%3Cpath stroke='%23379fff' d='M13 11h1'/%3E%3Cpath stroke='%23339dff' d='M14 11h1'/%3E%3Cpath stroke='%232f9bff' d='M15 11h1'/%3E%3Cpath stroke='%232e97ff' d='M16 11h1'/%3E%3Cpath stroke='%232e91fc' d='M17 11h1'/%3E%3Cpath stroke='%232a80f0' d='M18 11h1'/%3E%3Cpath stroke='%231b5dcb' d='M19 11h1'/%3E%3Cpath stroke='%233275ff' d='M1 12h1'/%3E%3Cpath stroke='%235991ff' d='M6 12h1'/%3E%3Cpath stroke='%235596ff' d='M8 12h1'/%3E%3Cpath stroke='%23529cff' d='M9 12h1'/%3E%3Cpath stroke='%234fa1ff' d='M10 12h1'/%3E%3Cpath stroke='%234aa6ff' d='M11 12h1'/%3E%3Cpath stroke='%2342a9ff' d='M12 12h1'/%3E%3Cpath stroke='%233aa9ff' d='M13 12h1'/%3E%3Cpath stroke='%2334a7ff' d='M14 12h1'/%3E%3Cpath stroke='%2330a5ff' d='M15 12h1'/%3E%3Cpath stroke='%232ca0ff' d='M16 12h1'/%3E%3Cpath stroke='%232a96fd' d='M17 12h1'/%3E%3Cpath stroke='%232581f1' d='M18 12h1'/%3E%3Cpath stroke='%23185dcc' d='M19 12h1'/%3E%3Cpath stroke='%232d72ff' d='M1 13h1m0 3h1'/%3E%3Cpath stroke='%2344afff' d='M12 13h1'/%3E%3Cpath stroke='%233eb1ff' d='M13 13h1'/%3E%3Cpath stroke='%2337afff' d='M14 13h1'/%3E%3Cpath stroke='%232fabff' d='M15 13h1'/%3E%3Cpath stroke='%2329a4ff' d='M16 13h1'/%3E%3Cpath stroke='%232599fd' d='M17 13h1'/%3E%3Cpath stroke='%231e80f2' d='M18 13h1'/%3E%3Cpath stroke='%23145bcd' d='M19 13h1'/%3E%3Cpath stroke='%23276eff' d='M1 14h1'/%3E%3Cpath stroke='%233d7dff' d='M2 14h1'/%3E%3Cpath stroke='%234985ff' d='M3 14h1'/%3E%3Cpath stroke='%2343b1ff' d='M12 14h1'/%3E%3Cpath stroke='%233eb4ff' d='M13 14h1'/%3E%3Cpath stroke='%2335b2ff' d='M14 14h1'/%3E%3Cpath stroke='%232caeff' d='M15 14h1'/%3E%3Cpath stroke='%2324a5ff' d='M16 14h1'/%3E%3Cpath stroke='%231f97fd' d='M17 14h1'/%3E%3Cpath stroke='%231980f3' d='M18 14h1'/%3E%3Cpath stroke='%23105ace' d='M19 14h1'/%3E%3Cpath stroke='%23216aff' d='M1 15h1'/%3E%3Cpath stroke='%233578ff' d='M2 15h1'/%3E%3Cpath stroke='%234885ff' d='M4 15h1'/%3E%3Cpath stroke='%2341afff' d='M12 15h1'/%3E%3Cpath stroke='%233bb2ff' d='M13 15h1'/%3E%3Cpath stroke='%2333b1ff' d='M14 15h1'/%3E%3Cpath stroke='%232aadff' d='M15 15h1'/%3E%3Cpath stroke='%2321a3ff' d='M16 15h1'/%3E%3Cpath stroke='%231a95fd' d='M17 15h1'/%3E%3Cpath stroke='%23137cf2' d='M18 15h1'/%3E%3Cpath stroke='%230c59cf' d='M19 15h1'/%3E%3Cpath stroke='%231c66ff' d='M1 16h1'/%3E%3Cpath stroke='%233879ff' d='M3 16h1'/%3E%3Cpath stroke='%233f7eff' d='M4 16h1'/%3E%3Cpath stroke='%234584ff' d='M6 16h1'/%3E%3Cpath stroke='%234587ff' d='M7 16h1'/%3E%3Cpath stroke='%23468eff' d='M8 16h1'/%3E%3Cpath stroke='%234696ff' d='M9 16h1'/%3E%3Cpath stroke='%23439cff' d='M10 16h1'/%3E%3Cpath stroke='%233fa3ff' d='M11 16h1'/%3E%3Cpath stroke='%233ba8ff' d='M12 16h1'/%3E%3Cpath stroke='%233af' d='M13 16h1'/%3E%3Cpath stroke='%232da9ff' d='M14 16h1'/%3E%3Cpath stroke='%2324a6ff' d='M15 16h1'/%3E%3Cpath stroke='%231d9eff' d='M16 16h1'/%3E%3Cpath stroke='%231690fd' d='M17 16h1'/%3E%3Cpath stroke='%231078f1' d='M18 16h1'/%3E%3Cpath stroke='%230b57ce' d='M19 16h1'/%3E%3Cpath stroke='%231761f9' d='M1 17h1'/%3E%3Cpath stroke='%23246bfa' d='M2 17h1'/%3E%3Cpath stroke='%232f72fb' d='M3 17h1'/%3E%3Cpath stroke='%233676fb' d='M4 17h1'/%3E%3Cpath stroke='%233a7afb' d='M5 17h1'/%3E%3Cpath stroke='%233b7bfc' d='M6 17h1'/%3E%3Cpath stroke='%233b7efc' d='M7 17h1'/%3E%3Cpath stroke='%233c84fc' d='M8 17h1'/%3E%3Cpath stroke='%233b8afc' d='M9 17h1'/%3E%3Cpath stroke='%233990fc' d='M10 17h1'/%3E%3Cpath stroke='%233695fc' d='M11 17h1'/%3E%3Cpath stroke='%233299fc' d='M12 17h1'/%3E%3Cpath stroke='%232c9cfd' d='M13 17h1'/%3E%3Cpath stroke='%23259bfd' d='M14 17h1'/%3E%3Cpath stroke='%231e97fd' d='M15 17h1'/%3E%3Cpath stroke='%231790fc' d='M16 17h1'/%3E%3Cpath stroke='%231184fa' d='M17 17h1'/%3E%3Cpath stroke='%230c6ded' d='M18 17h1'/%3E%3Cpath stroke='%230850c8' d='M19 17h1'/%3E%3Cpath stroke='%232f6ae4' d='M1 18h1'/%3E%3Cpath stroke='%231b5fe9' d='M2 18h1'/%3E%3Cpath stroke='%232163e8' d='M3 18h1'/%3E%3Cpath stroke='%232868eb' d='M4 18h1'/%3E%3Cpath stroke='%232c6aea' d='M5 18h1'/%3E%3Cpath stroke='%232e6dea' d='M6 18h1'/%3E%3Cpath stroke='%232d6deb' d='M7 18h1'/%3E%3Cpath stroke='%232c71ec' d='M8 18h1'/%3E%3Cpath stroke='%232c76ec' d='M9 18h1'/%3E%3Cpath stroke='%232a79ed' d='M10 18h1'/%3E%3Cpath stroke='%23287eef' d='M11 18h1'/%3E%3Cpath stroke='%232481f1' d='M12 18h1'/%3E%3Cpath stroke='%232182f1' d='M13 18h1'/%3E%3Cpath stroke='%231c80f1' d='M14 18h1'/%3E%3Cpath stroke='%231880f3' d='M15 18h1'/%3E%3Cpath stroke='%23117af2' d='M16 18h1'/%3E%3Cpath stroke='%230c6eed' d='M17 18h1'/%3E%3Cpath stroke='%230a5ddd' d='M18 18h1'/%3E%3Cpath stroke='%23265dc1' d='M19 18h1'/%3E%3Cpath stroke='%2393b4f2' d='M0 19h1m19 0h1'/%3E%3Cpath stroke='%23d1ddf4' d='M1 19h1'/%3E%3Cpath stroke='%232e61ca' d='M2 19h1'/%3E%3Cpath stroke='%23134bbf' d='M3 19h1'/%3E%3Cpath stroke='%23164fc2' d='M4 19h1'/%3E%3Cpath stroke='%231950c1' d='M5 19h1'/%3E%3Cpath stroke='%231b52c1' d='M6 19h1'/%3E%3Cpath stroke='%231a52c3' d='M7 19h1'/%3E%3Cpath stroke='%231954c6' d='M8 19h1'/%3E%3Cpath stroke='%231b58c9' d='M9 19h1'/%3E%3Cpath stroke='%231858c8' d='M10 19h1'/%3E%3Cpath stroke='%23165bcd' d='M11 19h1'/%3E%3Cpath stroke='%23145cd0' d='M12 19h1'/%3E%3Cpath stroke='%23135cd0' d='M13 19h1'/%3E%3Cpath stroke='%230f58cc' d='M14 19h1'/%3E%3Cpath stroke='%230d5ad2' d='M15 19h1'/%3E%3Cpath stroke='%230b58d1' d='M16 19h1'/%3E%3Cpath stroke='%230951cb' d='M17 19h1'/%3E%3Cpath stroke='%23265ec3' d='M18 19h1'/%3E%3Cpath stroke='%23d0daee' d='M19 19h1'/%3E%3Cpath stroke='%2393b3f2' d='M1 20h1m17 0h1'/%3E%3Cpath stroke='%23fefefe' d='M14 20h1'/%3E%3Cpath stroke='%23fdfdfd' d='M15 20h1m1 0h1'/%3E%3Cpath stroke='%23fcfcfc' d='M16 20h1'/%3E%3Cpath stroke='%23f2f5fc' d='M18 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Minimize]: not(: disabled): active{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%2393b1ed' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m15 0h1M0 2h1m19 0h1M0 18h1m19 0h1M2 20h1m15 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m19 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23a7bcee' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23cfd3da' d='M1 1h1'/%3E%3Cpath stroke='%231f3b5f' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23002453' d='M3 1h1M1 4h1'/%3E%3Cpath stroke='%23002557' d='M4 1h1'/%3E%3Cpath stroke='%23002658' d='M5 1h1'/%3E%3Cpath stroke='%2300285c' d='M6 1h1'/%3E%3Cpath stroke='%23002a61' d='M7 1h1'/%3E%3Cpath stroke='%23002d67' d='M8 1h1'/%3E%3Cpath stroke='%23002f6b' d='M9 1h1'/%3E%3Cpath stroke='%23002f6c' d='M10 1h1M1 10h1'/%3E%3Cpath stroke='%23003273' d='M11 1h1'/%3E%3Cpath stroke='%23003478' d='M12 1h1M5 2h1'/%3E%3Cpath stroke='%2300357b' d='M13 1h1M2 5h1m-2 8h1'/%3E%3Cpath stroke='%2300377f' d='M14 1h1M6 2h1'/%3E%3Cpath stroke='%23003780' d='M15 1h1'/%3E%3Cpath stroke='%23003984' d='M16 1h1'/%3E%3Cpath stroke='%23003882' d='M17 1h1M3 3h1'/%3E%3Cpath stroke='%231f5295' d='M18 1h1'/%3E%3Cpath stroke='%23cfdae9' d='M19 1h1'/%3E%3Cpath stroke='%23002a62' d='M2 2h1'/%3E%3Cpath stroke='%23003070' d='M3 2h1'/%3E%3Cpath stroke='%23003275' d='M4 2h1'/%3E%3Cpath stroke='%23003883' d='M7 2h1M1 17h1'/%3E%3Cpath stroke='%23003a88' d='M8 2h1'/%3E%3Cpath stroke='%23003d8f' d='M9 2h1M2 9h1'/%3E%3Cpath stroke='%23003e90' d='M10 2h1'/%3E%3Cpath stroke='%23004094' d='M11 2h1'/%3E%3Cpath stroke='%23004299' d='M12 2h1M2 12h1'/%3E%3Cpath stroke='%2300439b' d='M13 2h1'/%3E%3Cpath stroke='%2300449e' d='M14 2h1M2 14h1'/%3E%3Cpath stroke='%2300459f' d='M15 2h1'/%3E%3Cpath stroke='%230045a1' d='M16 2h1m1 0h1M2 17h1'/%3E%3Cpath stroke='%230045a0' d='M17 2h1M2 15h1'/%3E%3Cpath stroke='%231f5aa8' d='M19 2h1'/%3E%3Cpath stroke='%23002452' d='M1 3h1'/%3E%3Cpath stroke='%23003170' d='M2 3h1'/%3E%3Cpath stroke='%23003b8b' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23003c8f' d='M5 3h1'/%3E%3Cpath stroke='%23003e94' d='M6 3h1'/%3E%3Cpath stroke='%23004099' d='M7 3h1'/%3E%3Cpath stroke='%2300429d' d='M8 3h1'/%3E%3Cpath stroke='%230044a2' d='M9 3h1'/%3E%3Cpath stroke='%230046a5' d='M10 3h1'/%3E%3Cpath stroke='%230048a8' d='M11 3h1'/%3E%3Cpath stroke='%230049ab' d='M12 3h1m-3 2h1'/%3E%3Cpath stroke='%23004aac' d='M13 3h1'/%3E%3Cpath stroke='%23004aad' d='M14 3h1'/%3E%3Cpath stroke='%23004bae' d='M15 3h2m1 0h1M3 14h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23004baf' d='M17 3h1m-5 2h1m-7 5h1m-5 7h1m-1 1h1'/%3E%3Cpath stroke='%23004bad' d='M19 3h1M3 13h1m-1 6h1'/%3E%3Cpath stroke='%23037' d='M2 4h1m-2 8h1'/%3E%3Cpath stroke='%23003d92' d='M4 4h1'/%3E%3Cpath stroke='%23003f97' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%2300419d' d='M6 4h1M4 6h1'/%3E%3Cpath stroke='%230043a1' d='M7 4h1'/%3E%3Cpath stroke='%230045a4' d='M8 4h1'/%3E%3Cpath stroke='%230047a8' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%230048ab' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%230049ad' d='M11 4h1m-2 2h1m-6 5h1'/%3E%3Cpath stroke='%23004aae' d='M12 4h1m-1 1h1m-2 1h1m-6 5h1m-3 1h2'/%3E%3Cpath stroke='%23004cb0' d='M13 4h1m0 1h1m-8 6h1m-4 2h1'/%3E%3Cpath stroke='%23004db1' d='M14 4h3m-2 1h2m-4 1h4M7 12h1m-4 2h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23004db2' d='M17 4h3m-3 1h3m-2 1h2m-8 1h1m6 0h1m-9 1h1m-4 3h1m-5 6h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%23002555' d='M1 5h1'/%3E%3Cpath stroke='%23003d90' d='M3 5h1'/%3E%3Cpath stroke='%2300409c' d='M5 5h1'/%3E%3Cpath stroke='%230042a1' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%230044a5' d='M7 5h1M6 6h1'/%3E%3Cpath stroke='%230046a8' d='M8 5h1M5 8h1'/%3E%3Cpath stroke='%230047aa' d='M9 5h1'/%3E%3Cpath stroke='%230049ac' d='M11 5h1m-7 5h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%2300275a' d='M1 6h1'/%3E%3Cpath stroke='%23003781' d='M2 6h1m-2 9h1'/%3E%3Cpath stroke='%23003f95' d='M3 6h1'/%3E%3Cpath stroke='%230045a9' d='M7 6h1'/%3E%3Cpath stroke='%230046aa' d='M8 6h1M6 7h1'/%3E%3Cpath stroke='%230047ac' d='M9 6h1M7 7h1'/%3E%3Cpath stroke='%23004bb0' d='M12 6h1M8 9h1m-3 3h1'/%3E%3Cpath stroke='%23004eb3' d='M17 6h1m-5 1h1m4 0h1m0 1h1M10 9h1m-2 1h1m-3 6h1m-2 1h2m0 2h1'/%3E%3Cpath stroke='%2300295f' d='M1 7h1'/%3E%3Cpath stroke='%23003985' d='M2 7h1'/%3E%3Cpath stroke='%2300419b' d='M3 7h1'/%3E%3Cpath stroke='%230043a2' d='M4 7h1'/%3E%3Cpath stroke='%230044a6' d='M5 7h1'/%3E%3Cpath stroke='%230048ad' d='M8 7h1M6 9h1'/%3E%3Cpath stroke='%230049ae' d='M9 7h1M7 8h2m-3 2h1'/%3E%3Cpath stroke='%23004aaf' d='M10 7h1M9 8h1M7 9h1'/%3E%3Cpath stroke='%23004cb1' d='M11 7h1m-2 1h1M9 9h1m-2 1h1'/%3E%3Cpath stroke='%23004fb3' d='M14 7h1'/%3E%3Cpath stroke='%23004fb4' d='M15 7h3m-6 1h1m5 0h1m0 1h1M8 12h1m-1 6h1m0 1h1'/%3E%3Cpath stroke='%23002b63' d='M1 8h1'/%3E%3Cpath stroke='%23003b8a' d='M2 8h1'/%3E%3Cpath stroke='%2300439f' d='M3 8h1'/%3E%3Cpath stroke='%230045a5' d='M4 8h1'/%3E%3Cpath stroke='%230047ab' d='M6 8h1M5 9h1'/%3E%3Cpath stroke='%230050b5' d='M13 8h2m1 0h2m-7 1h1m-2 1h1m8 0h1M9 11h1m-2 5h1m-1 1h1m1 2h1'/%3E%3Cpath stroke='%230051b6' d='M15 8h1m2 1h1m0 2h1m-1 1h1m-1 5h1M9 18h1m1 1h1'/%3E%3Cpath stroke='%23002d68' d='M1 9h1'/%3E%3Cpath stroke='%230045a3' d='M3 9h1'/%3E%3Cpath stroke='%230052b7' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1m9 1h1m-8 6h2m3 0h1'/%3E%3Cpath stroke='%230053b8' d='M13 9h1m2 0h2m0 1h1m0 4h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h1m1 0h1'/%3E%3Cpath stroke='%230054b9' d='M14 9h2m2 9h1m-4 1h1'/%3E%3Cpath stroke='%23003f93' d='M2 10h1'/%3E%3Cpath stroke='%230047a7' d='M3 10h1'/%3E%3Cpath stroke='%230055ba' d='M12 10h1m4 0h1m-7 1h1m6 0h1m-9 6h1m0 1h1'/%3E%3Cpath stroke='%230056bb' d='M13 10h1m2 0h1m1 2h1m-9 4h1'/%3E%3Cpath stroke='%230057bc' d='M14 10h2m-5 2h1m6 5h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23003172' d='M1 11h1'/%3E%3Cpath stroke='%23004095' d='M2 11h1'/%3E%3Cpath stroke='%230048aa' d='M3 11h1'/%3E%3Cpath stroke='%230058bd' d='M12 11h1m4 0h1m0 2h1m-6 5h1'/%3E%3Cpath stroke='%230059be' d='M13 11h1m2 0h1m-6 5h1m6 0h1m-5 2h1m1 0h1'/%3E%3Cpath stroke='%23005abf' d='M14 11h2m-4 1h1m4 0h1m-6 5h1m2 1h1'/%3E%3Cpath stroke='%230055b9' d='M10 12h1'/%3E%3Cpath stroke='%23005cc1' d='M13 12h1m2 0h1m-5 1h1m4 0h1m-5 4h1'/%3E%3Cpath stroke='%23005dc2' d='M14 12h1m-3 2h1m4 0h1m-6 1h1m4 1h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%23005ec3' d='M15 12h1m-3 1h1m2 0h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%2300449d' d='M2 13h1'/%3E%3Cpath stroke='%2378a2d8' d='M5 13h7m-7 1h7m-7 1h7'/%3E%3Cpath stroke='%23005fc4' d='M14 13h1m-2 1h1m2 0h1m-4 1h1'/%3E%3Cpath stroke='%230060c5' d='M15 13h1m-2 1h1m1 1h1m-2 1h1'/%3E%3Cpath stroke='%2300367e' d='M1 14h1'/%3E%3Cpath stroke='%230061c6' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%230059bd' d='M18 14h1'/%3E%3Cpath stroke='%230062c6' d='M15 15h1'/%3E%3Cpath stroke='%23005abe' d='M18 15h1'/%3E%3Cpath stroke='%230054b8' d='M19 15h1'/%3E%3Cpath stroke='%23003881' d='M1 16h1'/%3E%3Cpath stroke='%230046a1' d='M2 16h1'/%3E%3Cpath stroke='%23004eb2' d='M6 16h1'/%3E%3Cpath stroke='%23005cc0' d='M12 16h1'/%3E%3Cpath stroke='%23005fc3' d='M14 16h1'/%3E%3Cpath stroke='%230060c4' d='M16 16h1'/%3E%3Cpath stroke='%230058bc' d='M11 17h1'/%3E%3Cpath stroke='%23005bc0' d='M17 17h1'/%3E%3Cpath stroke='%231f5294' d='M1 18h1'/%3E%3Cpath stroke='%230046a2' d='M2 18h1'/%3E%3Cpath stroke='%231f66be' d='M19 18h1'/%3E%3Cpath stroke='%23a7bef0' d='M0 19h1m0 1h1m17 0h1'/%3E%3Cpath stroke='%23cfdae8' d='M1 19h1'/%3E%3Cpath stroke='%231f5ba9' d='M2 19h1'/%3E%3Cpath stroke='%231f66bf' d='M18 19h1'/%3E%3Cpath stroke='%23cfdef1' d='M19 19h1'/%3E%3Cpath stroke='%2393b4f2' d='M20 19h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Maximize]{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%236696eb' d='M1 0h1'/%3E%3Cpath stroke='%23e5edfb' d='M2 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h16M0 2h1M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m4 0h11m4 0h1M0 6h1m4 0h11m4 0h1M0 7h1m4 0h11m4 0h1M0 8h1m4 0h1m9 0h1m4 0h1M0 9h1m4 0h1m9 0h1m4 0h1M0 10h1m4 0h1m9 0h1m4 0h1M0 11h1m4 0h1m9 0h1m4 0h1M0 12h1m4 0h1m9 0h1m4 0h1M0 13h1m4 0h1m9 0h1m4 0h1M0 14h1m4 0h1m9 0h1m4 0h1M0 15h1m4 0h11m4 0h1M0 16h1m19 0h1M0 17h1m19 0h1m-1 1h1M2 20h16'/%3E%3Cpath stroke='%236694eb' d='M19 0h1'/%3E%3Cpath stroke='%236693e9' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23dce5fd' d='M1 1h1'/%3E%3Cpath stroke='%23739af8' d='M2 1h1'/%3E%3Cpath stroke='%23608cf7' d='M3 1h1M2 8h1'/%3E%3Cpath stroke='%235584f6' d='M4 1h1'/%3E%3Cpath stroke='%234d7ef6' d='M5 1h1M1 6h1m5 4h1'/%3E%3Cpath stroke='%23487af5' d='M6 1h1'/%3E%3Cpath stroke='%234276f5' d='M7 1h1M3 14h1'/%3E%3Cpath stroke='%234478f5' d='M8 1h1m5 3h1M2 12h1'/%3E%3Cpath stroke='%233e73f5' d='M9 1h2'/%3E%3Cpath stroke='%233b71f5' d='M11 1h2'/%3E%3Cpath stroke='%23336cf4' d='M13 1h2'/%3E%3Cpath stroke='%23306af4' d='M15 1h1'/%3E%3Cpath stroke='%232864f4' d='M16 1h1'/%3E%3Cpath stroke='%231f5def' d='M17 1h1'/%3E%3Cpath stroke='%233467e0' d='M18 1h1'/%3E%3Cpath stroke='%23d2dbf2' d='M19 1h1'/%3E%3Cpath stroke='%23769cf8' d='M1 2h1'/%3E%3Cpath stroke='%2390aff9' d='M2 2h1'/%3E%3Cpath stroke='%2394b2f9' d='M3 2h1'/%3E%3Cpath stroke='%2385a7f8' d='M4 2h1'/%3E%3Cpath stroke='%23759cf8' d='M5 2h1'/%3E%3Cpath stroke='%236e97f8' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%236892f7' d='M7 2h1'/%3E%3Cpath stroke='%236690f7' d='M8 2h1'/%3E%3Cpath stroke='%23628ef7' d='M9 2h1m0 1h1'/%3E%3Cpath stroke='%235f8cf7' d='M10 2h1'/%3E%3Cpath stroke='%235e8bf7' d='M11 2h1'/%3E%3Cpath stroke='%235988f6' d='M12 2h1'/%3E%3Cpath stroke='%235685f6' d='M13 2h1'/%3E%3Cpath stroke='%235082f6' d='M14 2h1'/%3E%3Cpath stroke='%23497cf5' d='M15 2h1'/%3E%3Cpath stroke='%233f75f5' d='M16 2h1m-2 2h1'/%3E%3Cpath stroke='%23326bf2' d='M17 2h1'/%3E%3Cpath stroke='%23235ce3' d='M18 2h1'/%3E%3Cpath stroke='%23305cc5' d='M19 2h1'/%3E%3Cpath stroke='%23e5ecfb' d='M20 2h1'/%3E%3Cpath stroke='%236590f7' d='M1 3h1'/%3E%3Cpath stroke='%2397b4f9' d='M2 3h1'/%3E%3Cpath stroke='%239ab7fa' d='M3 3h1'/%3E%3Cpath stroke='%2389aaf9' d='M4 3h1M2 4h1'/%3E%3Cpath stroke='%237aa0f8' d='M5 3h1'/%3E%3Cpath stroke='%23729af8' d='M6 3h1'/%3E%3Cpath stroke='%236d95f8' d='M7 3h1'/%3E%3Cpath stroke='%236892f8' d='M8 3h1M2 7h1'/%3E%3Cpath stroke='%23658ff7' d='M9 3h1'/%3E%3Cpath stroke='%23618df7' d='M11 3h1'/%3E%3Cpath stroke='%235d8af7' d='M12 3h1M3 9h1'/%3E%3Cpath stroke='%235987f6' d='M13 3h1M2 9h1'/%3E%3Cpath stroke='%235283f6' d='M14 3h1'/%3E%3Cpath stroke='%234c7ef6' d='M15 3h1'/%3E%3Cpath stroke='%234377f5' d='M16 3h1'/%3E%3Cpath stroke='%23376ef2' d='M17 3h1'/%3E%3Cpath stroke='%23285fe3' d='M18 3h1'/%3E%3Cpath stroke='%231546b9' d='M19 3h1'/%3E%3Cpath stroke='%235886f6' d='M1 4h1'/%3E%3Cpath stroke='%238dadf9' d='M3 4h1'/%3E%3Cpath stroke='%237fa3f8' d='M4 4h1'/%3E%3Cpath stroke='%237199f8' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%236a93f8' d='M6 4h1M4 6h1M3 7h1'/%3E%3Cpath stroke='%23648ef7' d='M7 4h1'/%3E%3Cpath stroke='%235e8af7' d='M8 4h1'/%3E%3Cpath stroke='%235986f7' d='M9 4h1m-6 6h1'/%3E%3Cpath stroke='%235482f6' d='M10 4h1'/%3E%3Cpath stroke='%235180f6' d='M11 4h1'/%3E%3Cpath stroke='%234b7cf5' d='M12 4h1'/%3E%3Cpath stroke='%234a7cf5' d='M13 4h1'/%3E%3Cpath stroke='%233a72f4' d='M16 4h1'/%3E%3Cpath stroke='%23346cf2' d='M17 4h1'/%3E%3Cpath stroke='%232a61e3' d='M18 4h1'/%3E%3Cpath stroke='%231848bb' d='M19 4h1'/%3E%3Cpath stroke='%235282f6' d='M1 5h1m4 6h1m-3 1h1'/%3E%3Cpath stroke='%23799ff8' d='M2 5h1'/%3E%3Cpath stroke='%237ca1f8' d='M3 5h1'/%3E%3Cpath stroke='%23316bf4' d='M16 5h1M3 16h1'/%3E%3Cpath stroke='%233069f1' d='M17 5h1'/%3E%3Cpath stroke='%232c62e4' d='M18 5h1'/%3E%3Cpath stroke='%231d4cbc' d='M19 5h1m-1 1h1'/%3E%3Cpath stroke='%237099f8' d='M3 6h1'/%3E%3Cpath stroke='%232d69f5' d='M16 6h1'/%3E%3Cpath stroke='%232e69f2' d='M17 6h1'/%3E%3Cpath stroke='%232c63e5' d='M18 6h1'/%3E%3Cpath stroke='%234679f5' d='M1 7h1M1 8h1'/%3E%3Cpath stroke='%23658ff8' d='M4 7h1'/%3E%3Cpath stroke='%232a68f5' d='M16 7h1'/%3E%3Cpath stroke='%232c69f2' d='M17 7h1'/%3E%3Cpath stroke='%232a62e4' d='M18 7h1'/%3E%3Cpath stroke='%231c4cbd' d='M19 7h1'/%3E%3Cpath stroke='%23628df8' d='M3 8h1'/%3E%3Cpath stroke='%23608bf7' d='M4 8h1'/%3E%3Cpath stroke='%235482f7' d='M6 8h1'/%3E%3Cpath stroke='%234e7cf6' d='M7 8h1'/%3E%3Cpath stroke='%234778f6' d='M8 8h1'/%3E%3Cpath stroke='%234174f5' d='M9 8h1'/%3E%3Cpath stroke='%233a71f5' d='M10 8h1'/%3E%3Cpath stroke='%23346ef4' d='M11 8h1'/%3E%3Cpath stroke='%232d6bf5' d='M12 8h1'/%3E%3Cpath stroke='%232869f5' d='M13 8h1'/%3E%3Cpath stroke='%232467f5' d='M14 8h1'/%3E%3Cpath stroke='%232567f5' d='M16 8h1'/%3E%3Cpath stroke='%232968f2' d='M17 8h1'/%3E%3Cpath stroke='%232963e4' d='M18 8h1'/%3E%3Cpath stroke='%231b4bbd' d='M19 8h1'/%3E%3Cpath stroke='%233c72f4' d='M1 9h1'/%3E%3Cpath stroke='%235d89f7' d='M4 9h1'/%3E%3Cpath stroke='%235381f6' d='M6 9h1'/%3E%3Cpath stroke='%234e7ef6' d='M7 9h1'/%3E%3Cpath stroke='%23477af5' d='M8 9h1'/%3E%3Cpath stroke='%234178f5' d='M9 9h1'/%3E%3Cpath stroke='%233a74f5' d='M10 9h1'/%3E%3Cpath stroke='%233472f5' d='M11 9h1'/%3E%3Cpath stroke='%232c6ff5' d='M12 9h1'/%3E%3Cpath stroke='%23276cf5' d='M13 9h1'/%3E%3Cpath stroke='%23236af6' d='M14 9h1'/%3E%3Cpath stroke='%232268f5' d='M16 9h1'/%3E%3Cpath stroke='%232569f2' d='M17 9h1'/%3E%3Cpath stroke='%232562e6' d='M18 9h1'/%3E%3Cpath stroke='%23194bbe' d='M19 9h1'/%3E%3Cpath stroke='%23376ef4' d='M1 10h1'/%3E%3Cpath stroke='%235181f6' d='M2 10h1'/%3E%3Cpath stroke='%235785f7' d='M3 10h1'/%3E%3Cpath stroke='%235281f6' d='M6 10h1'/%3E%3Cpath stroke='%23477bf6' d='M8 10h1'/%3E%3Cpath stroke='%234179f6' d='M9 10h1'/%3E%3Cpath stroke='%233b77f5' d='M10 10h1'/%3E%3Cpath stroke='%233474f5' d='M11 10h1'/%3E%3Cpath stroke='%232c72f6' d='M12 10h1'/%3E%3Cpath stroke='%23266ff6' d='M13 10h1'/%3E%3Cpath stroke='%23226df6' d='M14 10h1'/%3E%3Cpath stroke='%231f6af6' d='M16 10h1'/%3E%3Cpath stroke='%23216af3' d='M17 10h1'/%3E%3Cpath stroke='%232162e6' d='M18 10h1'/%3E%3Cpath stroke='%231649be' d='M19 10h1'/%3E%3Cpath stroke='%23326bf4' d='M1 11h1'/%3E%3Cpath stroke='%234b7df5' d='M2 11h1'/%3E%3Cpath stroke='%235483f6' d='M3 11h1'/%3E%3Cpath stroke='%235684f7' d='M4 11h1'/%3E%3Cpath stroke='%234d80f6' d='M7 11h1'/%3E%3Cpath stroke='%23487df6' d='M8 11h1'/%3E%3Cpath stroke='%23427cf6' d='M9 11h1'/%3E%3Cpath stroke='%233c7af6' d='M10 11h1'/%3E%3Cpath stroke='%233478f6' d='M11 11h1'/%3E%3Cpath stroke='%232d76f6' d='M12 11h1'/%3E%3Cpath stroke='%232673f7' d='M13 11h1'/%3E%3Cpath stroke='%232171f7' d='M14 11h1'/%3E%3Cpath stroke='%231c6df6' d='M16 11h1'/%3E%3Cpath stroke='%231c6af4' d='M17 11h1'/%3E%3Cpath stroke='%231c61e6' d='M18 11h1'/%3E%3Cpath stroke='%231248bf' d='M19 11h1'/%3E%3Cpath stroke='%232b66f4' d='M1 12h1'/%3E%3Cpath stroke='%234e7ff6' d='M3 12h1'/%3E%3Cpath stroke='%235182f6' d='M6 12h1'/%3E%3Cpath stroke='%234d81f7' d='M7 12h1'/%3E%3Cpath stroke='%23487ff6' d='M8 12h1'/%3E%3Cpath stroke='%23437ff6' d='M9 12h1'/%3E%3Cpath stroke='%233d7ef6' d='M10 12h1'/%3E%3Cpath stroke='%23357cf6' d='M11 12h1'/%3E%3Cpath stroke='%232d7af7' d='M12 12h1'/%3E%3Cpath stroke='%232677f7' d='M13 12h1'/%3E%3Cpath stroke='%232174f7' d='M14 12h1'/%3E%3Cpath stroke='%23186ef7' d='M16 12h1'/%3E%3Cpath stroke='%23186af4' d='M17 12h1'/%3E%3Cpath stroke='%23165fe7' d='M18 12h1'/%3E%3Cpath stroke='%230f47c0' d='M19 12h1'/%3E%3Cpath stroke='%232562f3' d='M1 13h1'/%3E%3Cpath stroke='%233d73f4' d='M2 13h1'/%3E%3Cpath stroke='%23487bf5' d='M3 13h1'/%3E%3Cpath stroke='%234e80f6' d='M4 13h1'/%3E%3Cpath stroke='%234e81f6' d='M6 13h1'/%3E%3Cpath stroke='%234b80f6' d='M7 13h1'/%3E%3Cpath stroke='%23477ff6' d='M8 13h1'/%3E%3Cpath stroke='%23427ff6' d='M9 13h1'/%3E%3Cpath stroke='%233c7ff6' d='M10 13h1'/%3E%3Cpath stroke='%23367ff7' d='M11 13h1'/%3E%3Cpath stroke='%232d7cf7' d='M12 13h1'/%3E%3Cpath stroke='%232679f8' d='M13 13h1'/%3E%3Cpath stroke='%232077f7' d='M14 13h1'/%3E%3Cpath stroke='%23166ff7' d='M16 13h1'/%3E%3Cpath stroke='%231369f4' d='M17 13h1'/%3E%3Cpath stroke='%23105de8' d='M18 13h1'/%3E%3Cpath stroke='%230a44bf' d='M19 13h1'/%3E%3Cpath stroke='%231e5df3' d='M1 14h1'/%3E%3Cpath stroke='%23366ef4' d='M2 14h1'/%3E%3Cpath stroke='%23497bf5' d='M4 14h1'/%3E%3Cpath stroke='%234a7ef7' d='M6 14h1'/%3E%3Cpath stroke='%23487ef6' d='M7 14h1'/%3E%3Cpath stroke='%23457ff6' d='M8 14h1'/%3E%3Cpath stroke='%234180f6' d='M9 14h1'/%3E%3Cpath stroke='%233b7ff6' d='M10 14h1'/%3E%3Cpath stroke='%23357ff7' d='M11 14h1'/%3E%3Cpath stroke='%232d7df7' d='M12 14h1'/%3E%3Cpath stroke='%23257af8' d='M13 14h1'/%3E%3Cpath stroke='%231e77f8' d='M14 14h1'/%3E%3Cpath stroke='%23116df7' d='M16 14h1'/%3E%3Cpath stroke='%230d66f4' d='M17 14h1m-3 3h1'/%3E%3Cpath stroke='%230b59e7' d='M18 14h1'/%3E%3Cpath stroke='%230641c0' d='M19 14h1m-6 5h1'/%3E%3Cpath stroke='%231859f3' d='M1 15h1'/%3E%3Cpath stroke='%232e68f4' d='M2 15h1'/%3E%3Cpath stroke='%233a71f4' d='M3 15h1'/%3E%3Cpath stroke='%234277f5' d='M4 15h1'/%3E%3Cpath stroke='%230e6cf8' d='M16 15h1'/%3E%3Cpath stroke='%230963f4' d='M17 15h1'/%3E%3Cpath stroke='%230556e7' d='M18 15h1'/%3E%3Cpath stroke='%23023fbf' d='M19 15h1'/%3E%3Cpath stroke='%231456f3' d='M1 16h1'/%3E%3Cpath stroke='%232562f4' d='M2 16h1'/%3E%3Cpath stroke='%233971f4' d='M4 16h1'/%3E%3Cpath stroke='%233d74f5' d='M5 16h1'/%3E%3Cpath stroke='%233d74f6' d='M6 16h1'/%3E%3Cpath stroke='%233b75f5' d='M7 16h1'/%3E%3Cpath stroke='%233976f5' d='M8 16h1'/%3E%3Cpath stroke='%233777f5' d='M9 16h1'/%3E%3Cpath stroke='%233278f6' d='M10 16h1'/%3E%3Cpath stroke='%232c78f7' d='M11 16h1'/%3E%3Cpath stroke='%232577f7' d='M12 16h1'/%3E%3Cpath stroke='%231f76f7' d='M13 16h1'/%3E%3Cpath stroke='%231972f7' d='M14 16h1'/%3E%3Cpath stroke='%23116ef8' d='M15 16h1'/%3E%3Cpath stroke='%230b68f7' d='M16 16h1'/%3E%3Cpath stroke='%230560f4' d='M17 16h1'/%3E%3Cpath stroke='%230253e6' d='M18 16h1'/%3E%3Cpath stroke='%23013dbe' d='M19 16h1'/%3E%3Cpath stroke='%230e50ed' d='M1 17h1'/%3E%3Cpath stroke='%231c5bef' d='M2 17h1'/%3E%3Cpath stroke='%232863f0' d='M3 17h1'/%3E%3Cpath stroke='%232f68f0' d='M4 17h1'/%3E%3Cpath stroke='%23336bf1' d='M5 17h1'/%3E%3Cpath stroke='%23346cf1' d='M6 17h1'/%3E%3Cpath stroke='%23316cf2' d='M7 17h1'/%3E%3Cpath stroke='%23316df2' d='M8 17h1'/%3E%3Cpath stroke='%232e6ff2' d='M9 17h1'/%3E%3Cpath stroke='%232a70f2' d='M10 17h1'/%3E%3Cpath stroke='%232570f3' d='M11 17h1'/%3E%3Cpath stroke='%231f6ff3' d='M12 17h1'/%3E%3Cpath stroke='%23196df4' d='M13 17h1'/%3E%3Cpath stroke='%23136af4' d='M14 17h1'/%3E%3Cpath stroke='%230760f3' d='M16 17h1'/%3E%3Cpath stroke='%23025af0' d='M17 17h1'/%3E%3Cpath stroke='%23004de2' d='M18 17h1'/%3E%3Cpath stroke='%23003ab9' d='M19 17h1'/%3E%3Cpath stroke='%23e5eefd' d='M0 18h1'/%3E%3Cpath stroke='%23285edf' d='M1 18h1'/%3E%3Cpath stroke='%23134fdf' d='M2 18h1'/%3E%3Cpath stroke='%231b55df' d='M3 18h1'/%3E%3Cpath stroke='%23215ae2' d='M4 18h1'/%3E%3Cpath stroke='%23255ce1' d='M5 18h1'/%3E%3Cpath stroke='%23265de0' d='M6 18h1'/%3E%3Cpath stroke='%23245ce1' d='M7 18h1'/%3E%3Cpath stroke='%23235ee2' d='M8 18h1'/%3E%3Cpath stroke='%23215ee2' d='M9 18h1'/%3E%3Cpath stroke='%231e5ee2' d='M10 18h1'/%3E%3Cpath stroke='%231b5fe5' d='M11 18h1'/%3E%3Cpath stroke='%23165ee5' d='M12 18h1'/%3E%3Cpath stroke='%23135de6' d='M13 18h1'/%3E%3Cpath stroke='%230e5be5' d='M14 18h1'/%3E%3Cpath stroke='%230958e6' d='M15 18h1'/%3E%3Cpath stroke='%230454e6' d='M16 18h1'/%3E%3Cpath stroke='%23014ee2' d='M17 18h1'/%3E%3Cpath stroke='%230045d3' d='M18 18h1'/%3E%3Cpath stroke='%231f4eb8' d='M19 18h1'/%3E%3Cpath stroke='%23679ef6' d='M0 19h1'/%3E%3Cpath stroke='%23d0daf1' d='M1 19h1'/%3E%3Cpath stroke='%232856c3' d='M2 19h1'/%3E%3Cpath stroke='%230d3fb6' d='M3 19h1'/%3E%3Cpath stroke='%231144bd' d='M4 19h1'/%3E%3Cpath stroke='%231245bb' d='M5 19h1'/%3E%3Cpath stroke='%231445b9' d='M6 19h1'/%3E%3Cpath stroke='%231244b9' d='M7 19h1'/%3E%3Cpath stroke='%231345bc' d='M8 19h1'/%3E%3Cpath stroke='%231346bd' d='M9 19h1'/%3E%3Cpath stroke='%231045be' d='M10 19h1'/%3E%3Cpath stroke='%230d45c0' d='M11 19h1'/%3E%3Cpath stroke='%230a45c1' d='M12 19h1'/%3E%3Cpath stroke='%230844c3' d='M13 19h1'/%3E%3Cpath stroke='%23033fc0' d='M15 19h1'/%3E%3Cpath stroke='%23013fc3' d='M16 19h1'/%3E%3Cpath stroke='%23003bbe' d='M17 19h1'/%3E%3Cpath stroke='%231f4eb9' d='M18 19h1'/%3E%3Cpath stroke='%23cfd8ed' d='M19 19h1'/%3E%3Cpath stroke='%23669bf5' d='M20 19h1M1 20h1'/%3E%3Cpath stroke='%23e5edfd' d='M18 20h1'/%3E%3Cpath stroke='%236699f3' d='M19 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Maximize]: hover{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23afc2ef' d='M1 0h1m17 0h1M0 1h1m19 0h1M0 19h1m19 0h1M1 20h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m4 0h11m4 0h1M0 6h1m4 0h11m4 0h1M0 7h1m4 0h11m4 0h1M0 8h1m4 0h1m9 0h1m4 0h1M0 9h1m4 0h1m9 0h1m4 0h1M0 10h1m4 0h1m9 0h1m4 0h1M0 11h1m4 0h1m9 0h1m4 0h1M0 12h1m4 0h1m9 0h1m4 0h1M0 13h1m4 0h1m9 0h1m4 0h1M0 14h1m4 0h1m9 0h1m4 0h1M0 15h1m4 0h11m4 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%23dce7ff' d='M1 1h1'/%3E%3Cpath stroke='%2372a1ff' d='M2 1h1m4 3h1'/%3E%3Cpath stroke='%236a9cff' d='M3 1h1'/%3E%3Cpath stroke='%235f94ff' d='M4 1h1M4 11h1'/%3E%3Cpath stroke='%23558eff' d='M5 1h1M3 12h1'/%3E%3Cpath stroke='%23518bff' d='M6 1h1'/%3E%3Cpath stroke='%234a86ff' d='M7 1h1'/%3E%3Cpath stroke='%234b87ff' d='M8 1h1M2 12h1'/%3E%3Cpath stroke='%234684ff' d='M9 1h2'/%3E%3Cpath stroke='%234482ff' d='M11 1h1m4 1h1M1 9h1m0 4h1'/%3E%3Cpath stroke='%234080ff' d='M12 1h1M3 15h1'/%3E%3Cpath stroke='%233b7cff' d='M13 1h1'/%3E%3Cpath stroke='%233a7bff' d='M14 1h1'/%3E%3Cpath stroke='%233678ff' d='M15 1h1'/%3E%3Cpath stroke='%232e73ff' d='M16 1h1'/%3E%3Cpath stroke='%23276cf9' d='M17 1h1'/%3E%3Cpath stroke='%233a73e7' d='M18 1h1'/%3E%3Cpath stroke='%23d3ddf3' d='M19 1h1'/%3E%3Cpath stroke='%2373a1ff' d='M1 2h1'/%3E%3Cpath stroke='%2397b9ff' d='M2 2h1'/%3E%3Cpath stroke='%239cbdff' d='M3 2h1'/%3E%3Cpath stroke='%2390b5ff' d='M4 2h1'/%3E%3Cpath stroke='%2382acff' d='M5 2h1M5 4h1'/%3E%3Cpath stroke='%237ba7ff' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%2375a3ff' d='M7 2h1'/%3E%3Cpath stroke='%236f9fff' d='M8 2h1M3 8h1'/%3E%3Cpath stroke='%236c9dff' d='M9 2h1M1 3h1'/%3E%3Cpath stroke='%23689bff' d='M10 2h1M3 9h1'/%3E%3Cpath stroke='%236599ff' d='M11 2h1m0 1h1'/%3E%3Cpath stroke='%236095ff' d='M12 2h1m0 1h1'/%3E%3Cpath stroke='%235d93ff' d='M13 2h1'/%3E%3Cpath stroke='%23568eff' d='M14 2h1'/%3E%3Cpath stroke='%234f8aff' d='M15 2h1M3 13h1m0 1h1'/%3E%3Cpath stroke='%233878fb' d='M17 2h1'/%3E%3Cpath stroke='%232969eb' d='M18 2h1'/%3E%3Cpath stroke='%233566cb' d='M19 2h1'/%3E%3Cpath stroke='%239ebeff' d='M2 3h1'/%3E%3Cpath stroke='%23a4c2ff' d='M3 3h1'/%3E%3Cpath stroke='%2399baff' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%238ab0ff' d='M5 3h1'/%3E%3Cpath stroke='%2382abff' d='M6 3h1'/%3E%3Cpath stroke='%2379a6ff' d='M7 3h1'/%3E%3Cpath stroke='%2374a3ff' d='M8 3h1'/%3E%3Cpath stroke='%2371a0ff' d='M9 3h1'/%3E%3Cpath stroke='%236d9eff' d='M10 3h1M4 8h1'/%3E%3Cpath stroke='%23699bff' d='M11 3h1'/%3E%3Cpath stroke='%235a91ff' d='M14 3h1M2 10h1m1 2h1'/%3E%3Cpath stroke='%23538cff' d='M15 3h1M2 11h1'/%3E%3Cpath stroke='%234986ff' d='M16 3h1'/%3E%3Cpath stroke='%233d7cfc' d='M17 3h1'/%3E%3Cpath stroke='%232e6cea' d='M18 3h1'/%3E%3Cpath stroke='%231b52c2' d='M19 3h1'/%3E%3Cpath stroke='%236296ff' d='M1 4h1'/%3E%3Cpath stroke='%2391b5ff' d='M2 4h1'/%3E%3Cpath stroke='%238fb4ff' d='M4 4h1'/%3E%3Cpath stroke='%237aa6ff' d='M6 4h1'/%3E%3Cpath stroke='%236b9dff' d='M8 4h1'/%3E%3Cpath stroke='%236598ff' d='M9 4h1'/%3E%3Cpath stroke='%235f95ff' d='M10 4h1m-5 6h1'/%3E%3Cpath stroke='%235b92ff' d='M11 4h1'/%3E%3Cpath stroke='%23548dff' d='M12 4h1M1 6h1m2 7h1'/%3E%3Cpath stroke='%23528cff' d='M13 4h1'/%3E%3Cpath stroke='%234c88ff' d='M14 4h1'/%3E%3Cpath stroke='%234785ff' d='M15 4h1'/%3E%3Cpath stroke='%234280ff' d='M16 4h1'/%3E%3Cpath stroke='%233b7afb' d='M17 4h1'/%3E%3Cpath stroke='%23316fec' d='M18 4h1'/%3E%3Cpath stroke='%231f55c3' d='M19 4h1'/%3E%3Cpath stroke='%235990ff' d='M1 5h1'/%3E%3Cpath stroke='%2385adff' d='M2 5h1'/%3E%3Cpath stroke='%238bb1ff' d='M3 5h1'/%3E%3Cpath stroke='%2384acff' d='M4 5h1'/%3E%3Cpath stroke='%23397aff' d='M16 5h1M1 11h1'/%3E%3Cpath stroke='%233979fc' d='M17 5h1'/%3E%3Cpath stroke='%233370ec' d='M18 5h1m-1 1h1'/%3E%3Cpath stroke='%232357c3' d='M19 5h1'/%3E%3Cpath stroke='%2381aaff' d='M3 6h1'/%3E%3Cpath stroke='%237aa7ff' d='M4 6h1'/%3E%3Cpath stroke='%233679ff' d='M16 6h1'/%3E%3Cpath stroke='%233879fc' d='M17 6h1'/%3E%3Cpath stroke='%232358c5' d='M19 6h1'/%3E%3Cpath stroke='%234e89ff' d='M1 7h1'/%3E%3Cpath stroke='%2371a1ff' d='M2 7h1'/%3E%3Cpath stroke='%2377a5ff' d='M3 7h1'/%3E%3Cpath stroke='%2374a2ff' d='M4 7h1'/%3E%3Cpath stroke='%23337aff' d='M16 7h1'/%3E%3Cpath stroke='%23367bfc' d='M17 7h1'/%3E%3Cpath stroke='%233372ed' d='M18 7h1'/%3E%3Cpath stroke='%232359c5' d='M19 7h1'/%3E%3Cpath stroke='%234d88ff' d='M1 8h1'/%3E%3Cpath stroke='%23699cff' d='M2 8h1'/%3E%3Cpath stroke='%236398ff' d='M6 8h1'/%3E%3Cpath stroke='%235c93ff' d='M7 8h1m-2 3h1'/%3E%3Cpath stroke='%23548fff' d='M8 8h1'/%3E%3Cpath stroke='%234d8cff' d='M9 8h1'/%3E%3Cpath stroke='%23468aff' d='M10 8h1'/%3E%3Cpath stroke='%233f86ff' d='M11 8h1'/%3E%3Cpath stroke='%233983ff' d='M12 8h1'/%3E%3Cpath stroke='%233380ff' d='M13 8h1'/%3E%3Cpath stroke='%232f7fff' d='M14 8h1'/%3E%3Cpath stroke='%233280ff' d='M16 8h1'/%3E%3Cpath stroke='%233580fc' d='M17 8h1'/%3E%3Cpath stroke='%233276ed' d='M18 8h1'/%3E%3Cpath stroke='%23235ac6' d='M19 8h1'/%3E%3Cpath stroke='%236196ff' d='M2 9h1m3 0h1m-4 1h1'/%3E%3Cpath stroke='%23689aff' d='M4 9h1'/%3E%3Cpath stroke='%235b93ff' d='M7 9h1'/%3E%3Cpath stroke='%235491ff' d='M8 9h1'/%3E%3Cpath stroke='%234f90ff' d='M9 9h1'/%3E%3Cpath stroke='%234890ff' d='M10 9h1'/%3E%3Cpath stroke='%23428eff' d='M11 9h1'/%3E%3Cpath stroke='%233b8dff' d='M12 9h1'/%3E%3Cpath stroke='%23348aff' d='M13 9h1'/%3E%3Cpath stroke='%233189ff' d='M14 9h1'/%3E%3Cpath stroke='%233188ff' d='M16 9h1'/%3E%3Cpath stroke='%233385fc' d='M17 9h1'/%3E%3Cpath stroke='%233079ed' d='M18 9h1'/%3E%3Cpath stroke='%23215cc8' d='M19 9h1'/%3E%3Cpath stroke='%233f7fff' d='M1 10h1'/%3E%3Cpath stroke='%236397ff' d='M4 10h1'/%3E%3Cpath stroke='%235993ff' d='M7 10h1'/%3E%3Cpath stroke='%235492ff' d='M8 10h1'/%3E%3Cpath stroke='%235093ff' d='M9 10h1'/%3E%3Cpath stroke='%234a95ff' d='M10 10h1'/%3E%3Cpath stroke='%234496ff' d='M11 10h1'/%3E%3Cpath stroke='%233d96ff' d='M12 10h1'/%3E%3Cpath stroke='%233694ff' d='M13 10h1'/%3E%3Cpath stroke='%233193ff' d='M14 10h1'/%3E%3Cpath stroke='%233090ff' d='M16 10h1'/%3E%3Cpath stroke='%23328cfc' d='M17 10h1'/%3E%3Cpath stroke='%232e7def' d='M18 10h1'/%3E%3Cpath stroke='%231e5dc9' d='M19 10h1'/%3E%3Cpath stroke='%235c92ff' d='M3 11h1'/%3E%3Cpath stroke='%235792ff' d='M7 11h1m-1 1h1'/%3E%3Cpath stroke='%235594ff' d='M8 11h1'/%3E%3Cpath stroke='%235298ff' d='M9 11h1'/%3E%3Cpath stroke='%234d9cff' d='M10 11h1'/%3E%3Cpath stroke='%23479eff' d='M11 11h1'/%3E%3Cpath stroke='%23409fff' d='M12 11h1'/%3E%3Cpath stroke='%23379fff' d='M13 11h1'/%3E%3Cpath stroke='%23339dff' d='M14 11h1'/%3E%3Cpath stroke='%232e97ff' d='M16 11h1'/%3E%3Cpath stroke='%232e91fc' d='M17 11h1'/%3E%3Cpath stroke='%232a80f0' d='M18 11h1'/%3E%3Cpath stroke='%231b5dcb' d='M19 11h1'/%3E%3Cpath stroke='%233275ff' d='M1 12h1'/%3E%3Cpath stroke='%235991ff' d='M6 12h1'/%3E%3Cpath stroke='%235596ff' d='M8 12h1'/%3E%3Cpath stroke='%23529cff' d='M9 12h1'/%3E%3Cpath stroke='%234fa1ff' d='M10 12h1'/%3E%3Cpath stroke='%234aa6ff' d='M11 12h1'/%3E%3Cpath stroke='%2342a9ff' d='M12 12h1'/%3E%3Cpath stroke='%233aa9ff' d='M13 12h1'/%3E%3Cpath stroke='%2334a7ff' d='M14 12h1'/%3E%3Cpath stroke='%232ca0ff' d='M16 12h1'/%3E%3Cpath stroke='%232a96fd' d='M17 12h1'/%3E%3Cpath stroke='%232581f1' d='M18 12h1'/%3E%3Cpath stroke='%23185dcc' d='M19 12h1'/%3E%3Cpath stroke='%232d72ff' d='M1 13h1m0 3h1'/%3E%3Cpath stroke='%235790ff' d='M6 13h1'/%3E%3Cpath stroke='%235490ff' d='M7 13h1'/%3E%3Cpath stroke='%235597ff' d='M8 13h1'/%3E%3Cpath stroke='%23539fff' d='M9 13h1'/%3E%3Cpath stroke='%234fa4ff' d='M10 13h1'/%3E%3Cpath stroke='%234aaaff' d='M11 13h1'/%3E%3Cpath stroke='%2344afff' d='M12 13h1'/%3E%3Cpath stroke='%233eb1ff' d='M13 13h1'/%3E%3Cpath stroke='%2337afff' d='M14 13h1'/%3E%3Cpath stroke='%2329a4ff' d='M16 13h1'/%3E%3Cpath stroke='%232599fd' d='M17 13h1'/%3E%3Cpath stroke='%231e80f2' d='M18 13h1'/%3E%3Cpath stroke='%23145bcd' d='M19 13h1'/%3E%3Cpath stroke='%23276eff' d='M1 14h1'/%3E%3Cpath stroke='%233d7dff' d='M2 14h1'/%3E%3Cpath stroke='%234985ff' d='M3 14h1'/%3E%3Cpath stroke='%23528dff' d='M6 14h1'/%3E%3Cpath stroke='%23518fff' d='M7 14h1'/%3E%3Cpath stroke='%235196ff' d='M8 14h1'/%3E%3Cpath stroke='%23509fff' d='M9 14h1'/%3E%3Cpath stroke='%234ea6ff' d='M10 14h1'/%3E%3Cpath stroke='%2349acff' d='M11 14h1'/%3E%3Cpath stroke='%2343b1ff' d='M12 14h1'/%3E%3Cpath stroke='%233eb4ff' d='M13 14h1'/%3E%3Cpath stroke='%2335b2ff' d='M14 14h1'/%3E%3Cpath stroke='%2324a5ff' d='M16 14h1'/%3E%3Cpath stroke='%231f97fd' d='M17 14h1'/%3E%3Cpath stroke='%231980f3' d='M18 14h1'/%3E%3Cpath stroke='%23105ace' d='M19 14h1'/%3E%3Cpath stroke='%23216aff' d='M1 15h1'/%3E%3Cpath stroke='%233578ff' d='M2 15h1'/%3E%3Cpath stroke='%234885ff' d='M4 15h1'/%3E%3Cpath stroke='%2321a3ff' d='M16 15h1'/%3E%3Cpath stroke='%231a95fd' d='M17 15h1'/%3E%3Cpath stroke='%23137cf2' d='M18 15h1'/%3E%3Cpath stroke='%230c59cf' d='M19 15h1'/%3E%3Cpath stroke='%231c66ff' d='M1 16h1'/%3E%3Cpath stroke='%233879ff' d='M3 16h1'/%3E%3Cpath stroke='%233f7eff' d='M4 16h1'/%3E%3Cpath stroke='%234483ff' d='M5 16h1'/%3E%3Cpath stroke='%234584ff' d='M6 16h1'/%3E%3Cpath stroke='%234587ff' d='M7 16h1'/%3E%3Cpath stroke='%23468eff' d='M8 16h1'/%3E%3Cpath stroke='%234696ff' d='M9 16h1'/%3E%3Cpath stroke='%23439cff' d='M10 16h1'/%3E%3Cpath stroke='%233fa3ff' d='M11 16h1'/%3E%3Cpath stroke='%233ba8ff' d='M12 16h1'/%3E%3Cpath stroke='%233af' d='M13 16h1'/%3E%3Cpath stroke='%232da9ff' d='M14 16h1'/%3E%3Cpath stroke='%2324a6ff' d='M15 16h1'/%3E%3Cpath stroke='%231d9eff' d='M16 16h1'/%3E%3Cpath stroke='%231690fd' d='M17 16h1'/%3E%3Cpath stroke='%231078f1' d='M18 16h1'/%3E%3Cpath stroke='%230b57ce' d='M19 16h1'/%3E%3Cpath stroke='%231761f9' d='M1 17h1'/%3E%3Cpath stroke='%23246bfa' d='M2 17h1'/%3E%3Cpath stroke='%232f72fb' d='M3 17h1'/%3E%3Cpath stroke='%233676fb' d='M4 17h1'/%3E%3Cpath stroke='%233a7afb' d='M5 17h1'/%3E%3Cpath stroke='%233b7bfc' d='M6 17h1'/%3E%3Cpath stroke='%233b7efc' d='M7 17h1'/%3E%3Cpath stroke='%233c84fc' d='M8 17h1'/%3E%3Cpath stroke='%233b8afc' d='M9 17h1'/%3E%3Cpath stroke='%233990fc' d='M10 17h1'/%3E%3Cpath stroke='%233695fc' d='M11 17h1'/%3E%3Cpath stroke='%233299fc' d='M12 17h1'/%3E%3Cpath stroke='%232c9cfd' d='M13 17h1'/%3E%3Cpath stroke='%23259bfd' d='M14 17h1'/%3E%3Cpath stroke='%231e97fd' d='M15 17h1'/%3E%3Cpath stroke='%231790fc' d='M16 17h1'/%3E%3Cpath stroke='%231184fa' d='M17 17h1'/%3E%3Cpath stroke='%230c6ded' d='M18 17h1'/%3E%3Cpath stroke='%230850c8' d='M19 17h1'/%3E%3Cpath stroke='%232f6ae4' d='M1 18h1'/%3E%3Cpath stroke='%231b5fe9' d='M2 18h1'/%3E%3Cpath stroke='%232163e8' d='M3 18h1'/%3E%3Cpath stroke='%232868eb' d='M4 18h1'/%3E%3Cpath stroke='%232c6aea' d='M5 18h1'/%3E%3Cpath stroke='%232e6dea' d='M6 18h1'/%3E%3Cpath stroke='%232d6deb' d='M7 18h1'/%3E%3Cpath stroke='%232c71ec' d='M8 18h1'/%3E%3Cpath stroke='%232c76ec' d='M9 18h1'/%3E%3Cpath stroke='%232a79ed' d='M10 18h1'/%3E%3Cpath stroke='%23287eef' d='M11 18h1'/%3E%3Cpath stroke='%232481f1' d='M12 18h1'/%3E%3Cpath stroke='%232182f1' d='M13 18h1'/%3E%3Cpath stroke='%231c80f1' d='M14 18h1'/%3E%3Cpath stroke='%231880f3' d='M15 18h1'/%3E%3Cpath stroke='%23117af2' d='M16 18h1'/%3E%3Cpath stroke='%230c6eed' d='M17 18h1'/%3E%3Cpath stroke='%230a5ddd' d='M18 18h1'/%3E%3Cpath stroke='%23265dc1' d='M19 18h1'/%3E%3Cpath stroke='%23d1ddf4' d='M1 19h1'/%3E%3Cpath stroke='%232e61ca' d='M2 19h1'/%3E%3Cpath stroke='%23134bbf' d='M3 19h1'/%3E%3Cpath stroke='%23164fc2' d='M4 19h1'/%3E%3Cpath stroke='%231950c1' d='M5 19h1'/%3E%3Cpath stroke='%231b52c1' d='M6 19h1'/%3E%3Cpath stroke='%231a52c3' d='M7 19h1'/%3E%3Cpath stroke='%231954c6' d='M8 19h1'/%3E%3Cpath stroke='%231b58c9' d='M9 19h1'/%3E%3Cpath stroke='%231858c8' d='M10 19h1'/%3E%3Cpath stroke='%23165bcd' d='M11 19h1'/%3E%3Cpath stroke='%23145cd0' d='M12 19h1'/%3E%3Cpath stroke='%23135cd0' d='M13 19h1'/%3E%3Cpath stroke='%230f58cc' d='M14 19h1'/%3E%3Cpath stroke='%230d5ad2' d='M15 19h1'/%3E%3Cpath stroke='%230b58d1' d='M16 19h1'/%3E%3Cpath stroke='%230951cb' d='M17 19h1'/%3E%3Cpath stroke='%23265ec3' d='M18 19h1'/%3E%3Cpath stroke='%23d0daee' d='M19 19h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Maximize]: not(: disabled): active{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23b3c4ef' d='M1 0h1m17 0h1M0 1h1m19 0h1M0 19h1m19 0h1M1 20h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m19 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%23cfd3da' d='M1 1h1'/%3E%3Cpath stroke='%231f3b5f' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23002453' d='M3 1h1M1 4h1'/%3E%3Cpath stroke='%23002557' d='M4 1h1'/%3E%3Cpath stroke='%23002658' d='M5 1h1'/%3E%3Cpath stroke='%2300285c' d='M6 1h1'/%3E%3Cpath stroke='%23002a61' d='M7 1h1'/%3E%3Cpath stroke='%23002d67' d='M8 1h1'/%3E%3Cpath stroke='%23002f6b' d='M9 1h1'/%3E%3Cpath stroke='%23002f6c' d='M10 1h1M1 10h1'/%3E%3Cpath stroke='%23003273' d='M11 1h1'/%3E%3Cpath stroke='%23003478' d='M12 1h1M5 2h1'/%3E%3Cpath stroke='%2300357b' d='M13 1h1M2 5h1m-2 8h1'/%3E%3Cpath stroke='%2300377f' d='M14 1h1M6 2h1'/%3E%3Cpath stroke='%23003780' d='M15 1h1'/%3E%3Cpath stroke='%23003984' d='M16 1h1'/%3E%3Cpath stroke='%23003882' d='M17 1h1M3 3h1'/%3E%3Cpath stroke='%231f5295' d='M18 1h1'/%3E%3Cpath stroke='%23cfdae9' d='M19 1h1'/%3E%3Cpath stroke='%23002a62' d='M2 2h1'/%3E%3Cpath stroke='%23003070' d='M3 2h1'/%3E%3Cpath stroke='%23003275' d='M4 2h1'/%3E%3Cpath stroke='%23003883' d='M7 2h1M1 17h1'/%3E%3Cpath stroke='%23003a88' d='M8 2h1'/%3E%3Cpath stroke='%23003d8f' d='M9 2h1M2 9h1'/%3E%3Cpath stroke='%23003e90' d='M10 2h1'/%3E%3Cpath stroke='%23004094' d='M11 2h1'/%3E%3Cpath stroke='%23004299' d='M12 2h1M2 12h1'/%3E%3Cpath stroke='%2300439b' d='M13 2h1'/%3E%3Cpath stroke='%2300449e' d='M14 2h1M2 14h1'/%3E%3Cpath stroke='%2300459f' d='M15 2h1'/%3E%3Cpath stroke='%230045a1' d='M16 2h1m1 0h1M2 17h1'/%3E%3Cpath stroke='%230045a0' d='M17 2h1M2 15h1'/%3E%3Cpath stroke='%231f5aa8' d='M19 2h1'/%3E%3Cpath stroke='%23002452' d='M1 3h1'/%3E%3Cpath stroke='%23003170' d='M2 3h1'/%3E%3Cpath stroke='%23003b8b' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23003c8f' d='M5 3h1'/%3E%3Cpath stroke='%23003e94' d='M6 3h1'/%3E%3Cpath stroke='%23004099' d='M7 3h1'/%3E%3Cpath stroke='%2300429d' d='M8 3h1'/%3E%3Cpath stroke='%230044a2' d='M9 3h1'/%3E%3Cpath stroke='%230046a5' d='M10 3h1'/%3E%3Cpath stroke='%230048a8' d='M11 3h1'/%3E%3Cpath stroke='%230049ab' d='M12 3h1'/%3E%3Cpath stroke='%23004aac' d='M13 3h1'/%3E%3Cpath stroke='%23004aad' d='M14 3h1'/%3E%3Cpath stroke='%23004bae' d='M15 3h2m1 0h1M3 14h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23004baf' d='M17 3h1M7 10h1m-5 7h1m-1 1h1'/%3E%3Cpath stroke='%23004bad' d='M19 3h1M3 13h1m-1 6h1'/%3E%3Cpath stroke='%23037' d='M2 4h1m-2 8h1'/%3E%3Cpath stroke='%23003d92' d='M4 4h1'/%3E%3Cpath stroke='%23003f97' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%2300419d' d='M6 4h1M4 6h1'/%3E%3Cpath stroke='%230043a1' d='M7 4h1'/%3E%3Cpath stroke='%230045a4' d='M8 4h1'/%3E%3Cpath stroke='%230047a8' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%230048ab' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%230049ad' d='M11 4h1'/%3E%3Cpath stroke='%23004aae' d='M12 4h1m-7 7h1m-3 1h1'/%3E%3Cpath stroke='%23004cb0' d='M13 4h1m-7 7h1m-4 2h1'/%3E%3Cpath stroke='%23004db1' d='M14 4h3m-1 1h1m-1 1h1M7 12h1m-2 1h1m-3 1h1m1 0h1m-3 1h1m-1 1h2'/%3E%3Cpath stroke='%23004db2' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1m-9 1h1m-4 3h1m-5 6h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%23002555' d='M1 5h1'/%3E%3Cpath stroke='%23003d90' d='M3 5h1'/%3E%3Cpath stroke='%2378a2d8' d='M5 5h11M5 6h11M5 7h11M5 8h1m9 0h1M5 9h1m9 0h1M5 10h1m9 0h1M5 11h1m9 0h1M5 12h1m9 0h1M5 13h1m9 0h1M5 14h1m9 0h1M5 15h11'/%3E%3Cpath stroke='%2300275a' d='M1 6h1'/%3E%3Cpath stroke='%23003781' d='M2 6h1m-2 9h1'/%3E%3Cpath stroke='%23003f95' d='M3 6h1'/%3E%3Cpath stroke='%23004eb3' d='M17 6h1m0 1h1m0 1h1M10 9h1m-2 1h1m-3 6h1m-2 1h2m0 2h1'/%3E%3Cpath stroke='%2300295f' d='M1 7h1'/%3E%3Cpath stroke='%23003985' d='M2 7h1'/%3E%3Cpath stroke='%2300419b' d='M3 7h1'/%3E%3Cpath stroke='%230043a2' d='M4 7h1'/%3E%3Cpath stroke='%23004fb4' d='M16 7h2m-6 1h1m5 0h1m0 1h1M8 12h1m-1 6h1m0 1h1'/%3E%3Cpath stroke='%23002b63' d='M1 8h1'/%3E%3Cpath stroke='%23003b8a' d='M2 8h1'/%3E%3Cpath stroke='%2300439f' d='M3 8h1'/%3E%3Cpath stroke='%230045a5' d='M4 8h1'/%3E%3Cpath stroke='%230047ab' d='M6 8h1'/%3E%3Cpath stroke='%230049ae' d='M7 8h2m-3 2h1'/%3E%3Cpath stroke='%23004aaf' d='M9 8h1M7 9h1'/%3E%3Cpath stroke='%23004cb1' d='M10 8h1M9 9h1m-2 1h1'/%3E%3Cpath stroke='%230050b5' d='M13 8h2m1 0h2m-7 1h1m-2 1h1m8 0h1M9 11h1m-2 2h1m-1 3h1m-1 1h1m1 2h1'/%3E%3Cpath stroke='%23002d68' d='M1 9h1'/%3E%3Cpath stroke='%230045a3' d='M3 9h1'/%3E%3Cpath stroke='%230048ad' d='M6 9h1'/%3E%3Cpath stroke='%23004bb0' d='M8 9h1m-3 3h1'/%3E%3Cpath stroke='%230052b7' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1m9 1h1m-8 6h2m3 0h1'/%3E%3Cpath stroke='%230053b8' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h1m1 0h1'/%3E%3Cpath stroke='%230054b9' d='M14 9h1m-6 5h1m8 4h1m-4 1h1'/%3E%3Cpath stroke='%230051b6' d='M18 9h1m0 2h1m-1 1h1M8 14h1m10 3h1M9 18h1m1 1h1'/%3E%3Cpath stroke='%23003f93' d='M2 10h1'/%3E%3Cpath stroke='%230047a7' d='M3 10h1'/%3E%3Cpath stroke='%230055ba' d='M12 10h1m4 0h1m-7 1h1m6 0h1m-9 6h1m0 1h1'/%3E%3Cpath stroke='%230056bb' d='M13 10h1m2 0h1m1 2h1m-9 1h1m-1 3h1'/%3E%3Cpath stroke='%230057bc' d='M14 10h1m-4 2h1m-2 2h1m7 3h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23003172' d='M1 11h1'/%3E%3Cpath stroke='%23004095' d='M2 11h1'/%3E%3Cpath stroke='%230048aa' d='M3 11h1'/%3E%3Cpath stroke='%230049ac' d='M4 11h1m-2 1h1'/%3E%3Cpath stroke='%230058bd' d='M12 11h1m4 0h1m0 2h1m-6 5h1'/%3E%3Cpath stroke='%230059be' d='M13 11h1m2 0h1m-6 2h1m-1 3h1m6 0h1m-5 2h1m1 0h1'/%3E%3Cpath stroke='%23005abf' d='M14 11h1m-3 1h1m4 0h1m-7 2h1m0 3h1m2 1h1'/%3E%3Cpath stroke='%230055b9' d='M10 12h1'/%3E%3Cpath stroke='%23005cc1' d='M13 12h1m2 0h1m-5 1h1m4 0h1m-5 4h1'/%3E%3Cpath stroke='%23005dc2' d='M14 12h1m-3 2h1m4 0h1m-1 2h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%2300449d' d='M2 13h1'/%3E%3Cpath stroke='%23004eb2' d='M7 13h1m-2 3h1'/%3E%3Cpath stroke='%23005ec3' d='M13 13h1m2 0h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23005fc4' d='M14 13h1m-2 1h1m2 0h1'/%3E%3Cpath stroke='%2300367e' d='M1 14h1'/%3E%3Cpath stroke='%23004fb3' d='M7 14h1'/%3E%3Cpath stroke='%230060c5' d='M14 14h1m1 1h1m-2 1h1'/%3E%3Cpath stroke='%230059bd' d='M18 14h1'/%3E%3Cpath stroke='%23005abe' d='M18 15h1'/%3E%3Cpath stroke='%230054b8' d='M19 15h1'/%3E%3Cpath stroke='%23003881' d='M1 16h1'/%3E%3Cpath stroke='%230046a1' d='M2 16h1'/%3E%3Cpath stroke='%23005cc0' d='M12 16h1'/%3E%3Cpath stroke='%23005fc3' d='M14 16h1'/%3E%3Cpath stroke='%230060c4' d='M16 16h1'/%3E%3Cpath stroke='%230058bc' d='M11 17h1'/%3E%3Cpath stroke='%23005bc0' d='M17 17h1'/%3E%3Cpath stroke='%231f5294' d='M1 18h1'/%3E%3Cpath stroke='%230046a2' d='M2 18h1'/%3E%3Cpath stroke='%231f66be' d='M19 18h1'/%3E%3Cpath stroke='%23cfdae8' d='M1 19h1'/%3E%3Cpath stroke='%231f5ba9' d='M2 19h1'/%3E%3Cpath stroke='%231f66bf' d='M18 19h1'/%3E%3Cpath stroke='%23cfdef1' d='M19 19h1'/%3E%3Cpath stroke='%23b2c3ee' d='M19 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Restore]{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%236696eb' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23e5edfb' d='M2 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h16M0 2h1M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m4 0h7m8 0h1M0 14h1m4 0h7m8 0h1M0 15h1m4 0h7m8 0h1M0 16h1m19 0h1M0 17h1m19 0h1m-1 1h1M2 20h16'/%3E%3Cpath stroke='%236693e9' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23dce5fd' d='M1 1h1'/%3E%3Cpath stroke='%23739af8' d='M2 1h1'/%3E%3Cpath stroke='%23608cf7' d='M3 1h1M2 8h1'/%3E%3Cpath stroke='%235584f6' d='M4 1h1'/%3E%3Cpath stroke='%234d7ef6' d='M5 1h1M1 6h1m5 4h1'/%3E%3Cpath stroke='%23487af5' d='M6 1h1'/%3E%3Cpath stroke='%234276f5' d='M7 1h1M3 14h1'/%3E%3Cpath stroke='%234478f5' d='M8 1h1m5 3h1M2 12h1'/%3E%3Cpath stroke='%233e73f5' d='M9 1h2'/%3E%3Cpath stroke='%233b71f5' d='M11 1h2'/%3E%3Cpath stroke='%23336cf4' d='M13 1h2'/%3E%3Cpath stroke='%23306af4' d='M15 1h1'/%3E%3Cpath stroke='%232864f4' d='M16 1h1'/%3E%3Cpath stroke='%231f5def' d='M17 1h1'/%3E%3Cpath stroke='%233467e0' d='M18 1h1'/%3E%3Cpath stroke='%23d2dbf2' d='M19 1h1'/%3E%3Cpath stroke='%23769cf8' d='M1 2h1'/%3E%3Cpath stroke='%2390aff9' d='M2 2h1'/%3E%3Cpath stroke='%2394b2f9' d='M3 2h1'/%3E%3Cpath stroke='%2385a7f8' d='M4 2h1'/%3E%3Cpath stroke='%23759cf8' d='M5 2h1'/%3E%3Cpath stroke='%236e97f8' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%236892f7' d='M7 2h1'/%3E%3Cpath stroke='%236690f7' d='M8 2h1'/%3E%3Cpath stroke='%23628ef7' d='M9 2h1m0 1h1'/%3E%3Cpath stroke='%235f8cf7' d='M10 2h1'/%3E%3Cpath stroke='%235e8bf7' d='M11 2h1'/%3E%3Cpath stroke='%235988f6' d='M12 2h1'/%3E%3Cpath stroke='%235685f6' d='M13 2h1'/%3E%3Cpath stroke='%235082f6' d='M14 2h1'/%3E%3Cpath stroke='%23497cf5' d='M15 2h1'/%3E%3Cpath stroke='%233f75f5' d='M16 2h1m-2 2h1'/%3E%3Cpath stroke='%23326bf2' d='M17 2h1'/%3E%3Cpath stroke='%23235ce3' d='M18 2h1'/%3E%3Cpath stroke='%23305cc5' d='M19 2h1'/%3E%3Cpath stroke='%23e5ecfb' d='M20 2h1'/%3E%3Cpath stroke='%236590f7' d='M1 3h1'/%3E%3Cpath stroke='%2397b4f9' d='M2 3h1'/%3E%3Cpath stroke='%239ab7fa' d='M3 3h1'/%3E%3Cpath stroke='%2389aaf9' d='M4 3h1M2 4h1'/%3E%3Cpath stroke='%237aa0f8' d='M5 3h1'/%3E%3Cpath stroke='%23729af8' d='M6 3h1'/%3E%3Cpath stroke='%236d95f8' d='M7 3h1'/%3E%3Cpath stroke='%236892f8' d='M8 3h1M2 7h1'/%3E%3Cpath stroke='%23658ff7' d='M9 3h1'/%3E%3Cpath stroke='%23618df7' d='M11 3h1'/%3E%3Cpath stroke='%235d8af7' d='M12 3h1M3 9h1'/%3E%3Cpath stroke='%235987f6' d='M13 3h1M2 9h1'/%3E%3Cpath stroke='%235283f6' d='M14 3h1'/%3E%3Cpath stroke='%234c7ef6' d='M15 3h1'/%3E%3Cpath stroke='%234377f5' d='M16 3h1'/%3E%3Cpath stroke='%23376ef2' d='M17 3h1'/%3E%3Cpath stroke='%23285fe3' d='M18 3h1'/%3E%3Cpath stroke='%231546b9' d='M19 3h1'/%3E%3Cpath stroke='%235886f6' d='M1 4h1'/%3E%3Cpath stroke='%238dadf9' d='M3 4h1'/%3E%3Cpath stroke='%237fa3f8' d='M4 4h1'/%3E%3Cpath stroke='%237199f8' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%236a93f8' d='M6 4h1M4 6h1M3 7h1'/%3E%3Cpath stroke='%23648ef7' d='M7 4h1'/%3E%3Cpath stroke='%235e8af7' d='M8 4h1'/%3E%3Cpath stroke='%235986f7' d='M9 4h1M5 9h1m-2 1h1'/%3E%3Cpath stroke='%235482f6' d='M10 4h1'/%3E%3Cpath stroke='%235180f6' d='M11 4h1'/%3E%3Cpath stroke='%234b7cf5' d='M12 4h1'/%3E%3Cpath stroke='%234a7cf5' d='M13 4h1'/%3E%3Cpath stroke='%233a72f4' d='M16 4h1'/%3E%3Cpath stroke='%23346cf2' d='M17 4h1'/%3E%3Cpath stroke='%232a61e3' d='M18 4h1'/%3E%3Cpath stroke='%231848bb' d='M19 4h1'/%3E%3Cpath stroke='%235282f6' d='M1 5h1m4 6h1m-3 1h1'/%3E%3Cpath stroke='%23799ff8' d='M2 5h1'/%3E%3Cpath stroke='%237ca1f8' d='M3 5h1'/%3E%3Cpath stroke='%236791f8' d='M5 5h1'/%3E%3Cpath stroke='%23608bf7' d='M6 5h1M4 8h1'/%3E%3Cpath stroke='%23FFF' d='M7 5h1M8 5h1M6 9h1M9 5h1M8 6h1M10 5h1M11 5h1M12 5h1M13 5h1M14 5h1M15 5h1'/%3E%3Cpath stroke='%23316bf4' d='M16 5h1M3 16h1'/%3E%3Cpath stroke='%233069f1' d='M17 5h1'/%3E%3Cpath stroke='%232c62e4' d='M18 5h1'/%3E%3Cpath stroke='%231d4cbc' d='M19 5h1m-1 1h1'/%3E%3Cpath stroke='%237099f8' d='M3 6h1'/%3E%3Cpath stroke='%23628cf8' d='M5 6h1'/%3E%3Cpath stroke='%235b86f7' d='M6 6h1'/%3E%3Cpath stroke='%23FFF' d='M7 6h1M8 6h1M9 6h1M10 6h1M11 6h1M12 6h1M13 6h1M14 6h1M15 6h1'/%3E%3Cpath stroke='%232d69f5' d='M16 6h1'/%3E%3Cpath stroke='%232e69f2' d='M17 6h1'/%3E%3Cpath stroke='%232c63e5' d='M18 6h1'/%3E%3Cpath stroke='%234679f5' d='M1 7h1M1 8h1'/%3E%3Cpath stroke='%23658ff8' d='M4 7h1'/%3E%3Cpath stroke='%235e89f7' d='M5 7h1'/%3E%3Cpath stroke='%235783f7' d='M6 7h1'/%3E%3Cpath stroke='%23FFF' d='M7 7h1'/%3E%3Cpath stroke='%234375f5' d='M8 7h1M9 7h1'/%3E%3Cpath stroke='%233d71f5' d='M10 7h1'/%3E%3Cpath stroke='%23366ef4' d='M11 7h1M2 14h1'/%3E%3Cpath stroke='%232f6bf5' d='M12 7h1'/%3E%3Cpath stroke='%232b69f5' d='M13 7h1'/%3E%3Cpath stroke='%232867f5' d='M14 7h1'/%3E%3Cpath stroke='%23FFF' d='M15 7h1'/%3E%3Cpath stroke='%232a68f5' d='M16 7h1'/%3E%3Cpath stroke='%232c69f2' d='M17 7h1'/%3E%3Cpath stroke='%232a62e4' d='M18 7h1'/%3E%3Cpath stroke='%231c4cbd' d='M19 7h1'/%3E%3Cpath stroke='%23628df8' d='M3 8h1'/%3E%3Cpath stroke='%235b87f7' d='M5 8h1'/%3E%3Cpath stroke='%235482f7' d='M6 8h1'/%3E%3Cpath stroke='%23FFF' d='M7 8h1'/%3E%3Cpath stroke='%234174f5' d='M8 8h1M9 8h1'/%3E%3Cpath stroke='%233a71f5' d='M10 8h1'/%3E%3Cpath stroke='%23346ef4' d='M11 8h1'/%3E%3Cpath stroke='%232d6bf5' d='M12 8h1'/%3E%3Cpath stroke='%232869f5' d='M13 8h1'/%3E%3Cpath stroke='%232467f5' d='M14 8h1'/%3E%3Cpath stroke='%23FFF' d='M15 8h1'/%3E%3Cpath stroke='%232567f5' d='M16 8h1'/%3E%3Cpath stroke='%232968f2' d='M17 8h1'/%3E%3Cpath stroke='%232963e4' d='M18 8h1'/%3E%3Cpath stroke='%231b4bbd' d='M19 8h1'/%3E%3Cpath stroke='%233c72f4' d='M1 9h1'/%3E%3Cpath stroke='%235d89f7' d='M4 9h1'/%3E%3Cpath stroke='%23FFF' d='M5 9h1M6 9h1M7 9h1M8 9h1M9 9h1M10 9h1M11 9h1M12 9h1M13 9h1'/%3E%3Cpath stroke='%23236af6' d='M14 9h1'/%3E%3Cpath stroke='%23FFF' d='M15 9h1'/%3E%3Cpath stroke='%232268f5' d='M16 9h1'/%3E%3Cpath stroke='%232569f2' d='M17 9h1'/%3E%3Cpath stroke='%232562e6' d='M18 9h1'/%3E%3Cpath stroke='%23194bbe' d='M19 9h1'/%3E%3Cpath stroke='%23376ef4' d='M1 10h1'/%3E%3Cpath stroke='%235181f6' d='M2 10h1'/%3E%3Cpath stroke='%235785f7' d='M3 10h1M4 10h1'/%3E%3Cpath stroke='%23FFF' d='M5 10h1M6 10h1M7 10h1M8 10h1M9 10h1M10 10h1M11 10h1M12 10h1M13 10h1'/%3E%3Cpath stroke='%23226df6' d='M14 10h1'/%3E%3Cpath stroke='%23FFF' d='M15 10h1'/%3E%3Cpath stroke='%231f6af6' d='M16 10h1'/%3E%3Cpath stroke='%23216af3' d='M17 10h1'/%3E%3Cpath stroke='%232162e6' d='M18 10h1'/%3E%3Cpath stroke='%231649be' d='M19 10h1'/%3E%3Cpath stroke='%23326bf4' d='M1 11h1'/%3E%3Cpath stroke='%234b7df5' d='M2 11h1'/%3E%3Cpath stroke='%235483f6' d='M3 11h1'/%3E%3Cpath stroke='%235684f7' d='M4 11h1'/%3E%3Cpath stroke='%23FFF' d='M5 11h1'/%3E%3Cpath stroke='%234d80f6' d='M7 11h1'/%3E%3Cpath stroke='%23487df6' d='M8 11h1'/%3E%3Cpath stroke='%23427cf6' d='M9 11h1'/%3E%3Cpath stroke='%233c7af6' d='M10 11h1'/%3E%3Cpath stroke='%233478f6' d='M11 11h1'/%3E%3Cpath stroke='%232673f7' d='M12 11h1'/%3E%3Cpath stroke='%23FFF' d='M13 11h1M14 11h1M15 11h1'/%3E%3Cpath stroke='%231c6df6' d='M16 11h1'/%3E%3Cpath stroke='%231c6af4' d='M17 11h1'/%3E%3Cpath stroke='%231c61e6' d='M18 11h1'/%3E%3Cpath stroke='%231248bf' d='M19 11h1'/%3E%3Cpath stroke='%232b66f4' d='M1 12h1'/%3E%3Cpath stroke='%234e7ff6' d='M3 12h1'/%3E%3Cpath stroke='%23FFF' d='M5 12h1'/%3E%3Cpath stroke='%235182f6' d='M6 12h1'/%3E%3Cpath stroke='%234d81f7' d='M7 12h1'/%3E%3Cpath stroke='%23487ff6' d='M8 12h1'/%3E%3Cpath stroke='%23437ff6' d='M9 12h1'/%3E%3Cpath stroke='%233d7ef6' d='M10 12h1'/%3E%3Cpath stroke='%23357cf6' d='M11 12h1'/%3E%3Cpath stroke='%232677f7' d='M12 12h1'/%3E%3Cpath stroke='%23FFF' d='M13 12h1'/%3E%3Cpath stroke='%232174f7' d='M14 12h1'/%3E%3Cpath stroke='%231b71f7' d='M15 12h1'/%3E%3Cpath stroke='%23186ef7' d='M16 12h1'/%3E%3Cpath stroke='%23186af4' d='M17 12h1'/%3E%3Cpath stroke='%23165fe7' d='M18 12h1'/%3E%3Cpath stroke='%230f47c0' d='M19 12h1'/%3E%3Cpath stroke='%232562f3' d='M1 13h1'/%3E%3Cpath stroke='%233d73f4' d='M2 13h1'/%3E%3Cpath stroke='%23487bf5' d='M3 13h1'/%3E%3Cpath stroke='%234e80f6' d='M4 13h1M6 13h1M7 13h1'/%3E%3Cpath stroke='%23437ff6' d='M8 13h1'/%3E%3Cpath stroke='%232d7df7' d='M9 13h1'/%3E%3Cpath stroke='%232d7cf7' d='M10 13h1M11 13h1'/%3E%3Cpath stroke='%232679f8' d='M12 13h1'/%3E%3Cpath stroke='%23FFF' d='M13 13h1'/%3E%3Cpath stroke='%232077f7' d='M14 13h1'/%3E%3Cpath stroke='%231973f7' d='M15 13h1'/%3E%3Cpath stroke='%23166ff7' d='M16 13h1'/%3E%3Cpath stroke='%231369f4' d='M17 13h1'/%3E%3Cpath stroke='%23105de8' d='M18 13h1'/%3E%3Cpath stroke='%230a44bf' d='M19 13h1'/%3E%3Cpath stroke='%231e5df3' d='M1 14h1'/%3E%3Cpath stroke='%23497bf5' d='M4 14h1M6 14h1'/%3E%3Cpath stroke='%232d7df7' d='M7 14h1M8 14h1M9 14h1M10 14h1M11 14h1'/%3E%3Cpath stroke='%23257af8' d='M12 14h1'/%3E%3Cpath stroke='%23FFF' d='M13 14h1'/%3E%3Cpath stroke='%231e77f8' d='M14 14h1'/%3E%3Cpath stroke='%231773f8' d='M15 14h1'/%3E%3Cpath stroke='%23116df7' d='M16 14h1'/%3E%3Cpath stroke='%230d66f4' d='M17 14h1m-3 3h1'/%3E%3Cpath stroke='%230b59e7' d='M18 14h1'/%3E%3Cpath stroke='%230641c0' d='M19 14h1m-6 5h1'/%3E%3Cpath stroke='%231859f3' d='M1 15h1'/%3E%3Cpath stroke='%232e68f4' d='M2 15h1'/%3E%3Cpath stroke='%233a71f4' d='M3 15h1'/%3E%3Cpath stroke='%234277f5' d='M4 15h1'/%3E%3Cpath stroke='%23FFF' d='M11 15h1M12 15h1M13 15h1'/%3E%3Cpath stroke='%231d77f8' d='M14 15h1'/%3E%3Cpath stroke='%231573f8' d='M15 15h1'/%3E%3Cpath stroke='%230e6cf8' d='M16 15h1'/%3E%3Cpath stroke='%230963f4' d='M17 15h1'/%3E%3Cpath stroke='%230556e7' d='M18 15h1'/%3E%3Cpath stroke='%23023fbf' d='M19 15h1'/%3E%3Cpath stroke='%231456f3' d='M1 16h1'/%3E%3Cpath stroke='%232562f4' d='M2 16h1'/%3E%3Cpath stroke='%233971f4' d='M4 16h1'/%3E%3Cpath stroke='%233d74f5' d='M5 16h1'/%3E%3Cpath stroke='%233d74f6' d='M6 16h1'/%3E%3Cpath stroke='%233b75f5' d='M7 16h1'/%3E%3Cpath stroke='%233976f5' d='M8 16h1'/%3E%3Cpath stroke='%233777f5' d='M9 16h1'/%3E%3Cpath stroke='%233278f6' d='M10 16h1'/%3E%3Cpath stroke='%232c78f7' d='M11 16h1'/%3E%3Cpath stroke='%232577f7' d='M12 16h1'/%3E%3Cpath stroke='%231f76f7' d='M13 16h1'/%3E%3Cpath stroke='%231972f7' d='M14 16h1'/%3E%3Cpath stroke='%23116ef8' d='M15 16h1'/%3E%3Cpath stroke='%230b68f7' d='M16 16h1'/%3E%3Cpath stroke='%230560f4' d='M17 16h1'/%3E%3Cpath stroke='%230253e6' d='M18 16h1'/%3E%3Cpath stroke='%23013dbe' d='M19 16h1'/%3E%3Cpath stroke='%230e50ed' d='M1 17h1'/%3E%3Cpath stroke='%231c5bef' d='M2 17h1'/%3E%3Cpath stroke='%232863f0' d='M3 17h1'/%3E%3Cpath stroke='%232f68f0' d='M4 17h1'/%3E%3Cpath stroke='%23336bf1' d='M5 17h1'/%3E%3Cpath stroke='%23346cf1' d='M6 17h1'/%3E%3Cpath stroke='%23316cf2' d='M7 17h1'/%3E%3Cpath stroke='%23316df2' d='M8 17h1'/%3E%3Cpath stroke='%232e6ff2' d='M9 17h1'/%3E%3Cpath stroke='%232a70f2' d='M10 17h1'/%3E%3Cpath stroke='%232570f3' d='M11 17h1'/%3E%3Cpath stroke='%231f6ff3' d='M12 17h1'/%3E%3Cpath stroke='%23196df4' d='M13 17h1'/%3E%3Cpath stroke='%23136af4' d='M14 17h1'/%3E%3Cpath stroke='%230760f3' d='M16 17h1'/%3E%3Cpath stroke='%23025af0' d='M17 17h1'/%3E%3Cpath stroke='%23004de2' d='M18 17h1'/%3E%3Cpath stroke='%23003ab9' d='M19 17h1'/%3E%3Cpath stroke='%23e5eefd' d='M0 18h1'/%3E%3Cpath stroke='%23285edf' d='M1 18h1'/%3E%3Cpath stroke='%23134fdf' d='M2 18h1'/%3E%3Cpath stroke='%231b55df' d='M3 18h1'/%3E%3Cpath stroke='%23215ae2' d='M4 18h1'/%3E%3Cpath stroke='%23255ce1' d='M5 18h1'/%3E%3Cpath stroke='%23265de0' d='M6 18h1'/%3E%3Cpath stroke='%23245ce1' d='M7 18h1'/%3E%3Cpath stroke='%23235ee2' d='M8 18h1'/%3E%3Cpath stroke='%23215ee2' d='M9 18h1'/%3E%3Cpath stroke='%231e5ee2' d='M10 18h1'/%3E%3Cpath stroke='%231b5fe5' d='M11 18h1'/%3E%3Cpath stroke='%23165ee5' d='M12 18h1'/%3E%3Cpath stroke='%23135de6' d='M13 18h1'/%3E%3Cpath stroke='%230e5be5' d='M14 18h1'/%3E%3Cpath stroke='%230958e6' d='M15 18h1'/%3E%3Cpath stroke='%230454e6' d='M16 18h1'/%3E%3Cpath stroke='%23014ee2' d='M17 18h1'/%3E%3Cpath stroke='%230045d3' d='M18 18h1'/%3E%3Cpath stroke='%231f4eb8' d='M19 18h1'/%3E%3Cpath stroke='%23679ef6' d='M0 19h1m19 0h1'/%3E%3Cpath stroke='%23d0daf1' d='M1 19h1'/%3E%3Cpath stroke='%232856c3' d='M2 19h1'/%3E%3Cpath stroke='%230d3fb6' d='M3 19h1'/%3E%3Cpath stroke='%231144bd' d='M4 19h1'/%3E%3Cpath stroke='%231245bb' d='M5 19h1'/%3E%3Cpath stroke='%231445b9' d='M6 19h1'/%3E%3Cpath stroke='%231244b9' d='M7 19h1'/%3E%3Cpath stroke='%231345bc' d='M8 19h1'/%3E%3Cpath stroke='%231346bd' d='M9 19h1'/%3E%3Cpath stroke='%231045be' d='M10 19h1'/%3E%3Cpath stroke='%230d45c0' d='M11 19h1'/%3E%3Cpath stroke='%230a45c1' d='M12 19h1'/%3E%3Cpath stroke='%230844c3' d='M13 19h1'/%3E%3Cpath stroke='%23033fc0' d='M15 19h1'/%3E%3Cpath stroke='%23013fc3' d='M16 19h1'/%3E%3Cpath stroke='%23003bbe' d='M17 19h1'/%3E%3Cpath stroke='%231f4eb9' d='M18 19h1'/%3E%3Cpath stroke='%23cfd8ed' d='M19 19h1'/%3E%3Cpath stroke='%23669bf5' d='M1 20h1m17 0h1'/%3E%3Cpath stroke='%23e5edfd' d='M18 20h1'/%3E%3Cpath stroke='%23FFF' d='M5 15h9M5 9h9M5 10h9M5.5 8.5v7M13.5 8.5v7M7 5h9M7 6h9M14 11h2M7.5 5v4M15.5 5v6'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Restore]: hover{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%2393b1ed' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23f3f6fd' d='M2 0h1m17 2h1M0 18h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m4 0h7m8 0h1M0 14h1m4 0h7m8 0h1M0 15h1m4 0h7m8 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h11'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%2393b0ec' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23dce7ff' d='M1 1h1'/%3E%3Cpath stroke='%2372a1ff' d='M2 1h1m4 3h1M5 6h1'/%3E%3Cpath stroke='%236a9cff' d='M3 1h1'/%3E%3Cpath stroke='%235f94ff' d='M4 1h1M4 11h2'/%3E%3Cpath stroke='%23558eff' d='M5 1h1M3 12h1'/%3E%3Cpath stroke='%23518bff' d='M6 1h1m3 4h1'/%3E%3Cpath stroke='%234a86ff' d='M7 1h1'/%3E%3Cpath stroke='%234b87ff' d='M8 1h1m2 4h1M2 12h1'/%3E%3Cpath stroke='%234684ff' d='M9 1h2'/%3E%3Cpath stroke='%234482ff' d='M11 1h1m4 1h1m-5 3h1M1 9h1m0 4h1'/%3E%3Cpath stroke='%234080ff' d='M12 1h1M3 15h1'/%3E%3Cpath stroke='%233b7cff' d='M13 1h1'/%3E%3Cpath stroke='%233a7bff' d='M14 1h1'/%3E%3Cpath stroke='%233678ff' d='M15 1h1'/%3E%3Cpath stroke='%232e73ff' d='M16 1h1'/%3E%3Cpath stroke='%23276cf9' d='M17 1h1'/%3E%3Cpath stroke='%233a73e7' d='M18 1h1'/%3E%3Cpath stroke='%23d3ddf3' d='M19 1h1'/%3E%3Cpath stroke='%2373a1ff' d='M1 2h1'/%3E%3Cpath stroke='%2397b9ff' d='M2 2h1'/%3E%3Cpath stroke='%239cbdff' d='M3 2h1'/%3E%3Cpath stroke='%2390b5ff' d='M4 2h1'/%3E%3Cpath stroke='%2382acff' d='M5 2h1M5 4h1'/%3E%3Cpath stroke='%237ba7ff' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%2375a3ff' d='M7 2h1'/%3E%3Cpath stroke='%236f9fff' d='M8 2h1M3 8h1'/%3E%3Cpath stroke='%236c9dff' d='M9 2h1M1 3h1'/%3E%3Cpath stroke='%23689bff' d='M10 2h1M5 8h1M3 9h1'/%3E%3Cpath stroke='%236599ff' d='M11 2h1m0 1h1M5 9h1'/%3E%3Cpath stroke='%236095ff' d='M12 2h1m0 1h1M8 5h1'/%3E%3Cpath stroke='%235d93ff' d='M13 2h1'/%3E%3Cpath stroke='%23568eff' d='M14 2h1'/%3E%3Cpath stroke='%234f8aff' d='M15 2h1M3 13h1m0 1h1'/%3E%3Cpath stroke='%233878fb' d='M17 2h1'/%3E%3Cpath stroke='%232969eb' d='M18 2h1'/%3E%3Cpath stroke='%233566cb' d='M19 2h1'/%3E%3Cpath stroke='%239ebeff' d='M2 3h1'/%3E%3Cpath stroke='%23a4c2ff' d='M3 3h1'/%3E%3Cpath stroke='%2399baff' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%238ab0ff' d='M5 3h1'/%3E%3Cpath stroke='%2382abff' d='M6 3h1'/%3E%3Cpath stroke='%2379a6ff' d='M7 3h1'/%3E%3Cpath stroke='%2374a3ff' d='M8 3h1'/%3E%3Cpath stroke='%2371a0ff' d='M9 3h1'/%3E%3Cpath stroke='%236d9eff' d='M10 3h1M5 7h1M4 8h1'/%3E%3Cpath stroke='%23699bff' d='M11 3h1'/%3E%3Cpath stroke='%235a91ff' d='M14 3h1M2 10h1m1 2h1'/%3E%3Cpath stroke='%23538cff' d='M15 3h1M2 11h1'/%3E%3Cpath stroke='%234986ff' d='M16 3h1'/%3E%3Cpath stroke='%233d7cfc' d='M17 3h1'/%3E%3Cpath stroke='%232e6cea' d='M18 3h1'/%3E%3Cpath stroke='%231b52c2' d='M19 3h1'/%3E%3Cpath stroke='%236296ff' d='M1 4h1'/%3E%3Cpath stroke='%2391b5ff' d='M2 4h1'/%3E%3Cpath stroke='%238fb4ff' d='M4 4h1'/%3E%3Cpath stroke='%237aa6ff' d='M6 4h1'/%3E%3Cpath stroke='%236b9dff' d='M8 4h1'/%3E%3Cpath stroke='%236598ff' d='M9 4h1'/%3E%3Cpath stroke='%235f95ff' d='M10 4h1M7 7h1m-2 3h1'/%3E%3Cpath stroke='%235b92ff' d='M11 4h1'/%3E%3Cpath stroke='%23548dff' d='M12 4h1M1 6h1m2 7h1'/%3E%3Cpath stroke='%23528cff' d='M13 4h1'/%3E%3Cpath stroke='%234c88ff' d='M14 4h1m-5 2h1'/%3E%3Cpath stroke='%234785ff' d='M15 4h1'/%3E%3Cpath stroke='%234280ff' d='M16 4h1'/%3E%3Cpath stroke='%233b7afb' d='M17 4h1'/%3E%3Cpath stroke='%23316fec' d='M18 4h1'/%3E%3Cpath stroke='%231f55c3' d='M19 4h1'/%3E%3Cpath stroke='%235990ff' d='M1 5h1m7 0h1'/%3E%3Cpath stroke='%2385adff' d='M2 5h1'/%3E%3Cpath stroke='%238bb1ff' d='M3 5h1'/%3E%3Cpath stroke='%2384acff' d='M4 5h1'/%3E%3Cpath stroke='%2378a5ff' d='M5 5h1'/%3E%3Cpath stroke='%2370a0ff' d='M6 5h1'/%3E%3Cpath stroke='%23679aff' d='M7 5h1'/%3E%3Cpath stroke='%234180ff' d='M13 5h1'/%3E%3Cpath stroke='%233d7eff' d='M14 5h1'/%3E%3Cpath stroke='%233b7bff' d='M15 5h1'/%3E%3Cpath stroke='%23397aff' d='M16 5h1M1 11h1'/%3E%3Cpath stroke='%233979fc' d='M17 5h1'/%3E%3Cpath stroke='%233370ec' d='M18 5h1m-1 1h1'/%3E%3Cpath stroke='%232357c3' d='M19 5h1'/%3E%3Cpath stroke='%2381aaff' d='M3 6h1'/%3E%3Cpath stroke='%237aa7ff' d='M4 6h1'/%3E%3Cpath stroke='%236b9cff' d='M6 6h1'/%3E%3Cpath stroke='%236297ff' d='M7 6h1m-3 4h1'/%3E%3Cpath stroke='%235c93ff' d='M8 6h1M7 8h1m-2 3h1'/%3E%3Cpath stroke='%23548eff' d='M9 6h1'/%3E%3Cpath stroke='%234483ff' d='M11 6h1M5 16h1'/%3E%3Cpath stroke='%233d7fff' d='M12 6h1'/%3E%3Cpath stroke='%23387bff' d='M13 6h1'/%3E%3Cpath stroke='%233679ff' d='M14 6h1m1 0h1'/%3E%3Cpath stroke='%233579ff' d='M15 6h1'/%3E%3Cpath stroke='%233879fc' d='M17 6h1'/%3E%3Cpath stroke='%232358c5' d='M19 6h1'/%3E%3Cpath stroke='%234e89ff' d='M1 7h1'/%3E%3Cpath stroke='%2371a1ff' d='M2 7h1'/%3E%3Cpath stroke='%2377a5ff' d='M3 7h1'/%3E%3Cpath stroke='%2374a2ff' d='M4 7h1'/%3E%3Cpath stroke='%23669aff' d='M6 7h1'/%3E%3Cpath stroke='%235890ff' d='M8 7h1'/%3E%3Cpath stroke='%23508dff' d='M9 7h1'/%3E%3Cpath stroke='%234989ff' d='M10 7h1'/%3E%3Cpath stroke='%234183ff' d='M11 7h1'/%3E%3Cpath stroke='%233a7fff' d='M12 7h1'/%3E%3Cpath stroke='%23357bff' d='M13 7h1'/%3E%3Cpath stroke='%23317aff' d='M14 7h2'/%3E%3Cpath stroke='%23337aff' d='M16 7h1'/%3E%3Cpath stroke='%23367bfc' d='M17 7h1'/%3E%3Cpath stroke='%233372ed' d='M18 7h1'/%3E%3Cpath stroke='%232359c5' d='M19 7h1'/%3E%3Cpath stroke='%234d88ff' d='M1 8h1'/%3E%3Cpath stroke='%23699cff' d='M2 8h1'/%3E%3Cpath stroke='%236398ff' d='M6 8h1'/%3E%3Cpath stroke='%23548fff' d='M8 8h1'/%3E%3Cpath stroke='%234d8cff' d='M9 8h1'/%3E%3Cpath stroke='%23468aff' d='M10 8h1'/%3E%3Cpath stroke='%233f86ff' d='M11 8h1'/%3E%3Cpath stroke='%233983ff' d='M12 8h1'/%3E%3Cpath stroke='%233380ff' d='M13 8h1'/%3E%3Cpath stroke='%232f7fff' d='M14 8h2'/%3E%3Cpath stroke='%233280ff' d='M16 8h1'/%3E%3Cpath stroke='%233580fc' d='M17 8h1'/%3E%3Cpath stroke='%233276ed' d='M18 8h1'/%3E%3Cpath stroke='%23235ac6' d='M19 8h1'/%3E%3Cpath stroke='%236196ff' d='M2 9h1m3 0h1m-4 1h1'/%3E%3Cpath stroke='%23689aff' d='M4 9h1'/%3E%3Cpath stroke='%235b93ff' d='M7 9h1'/%3E%3Cpath stroke='%235491ff' d='M8 9h1'/%3E%3Cpath stroke='%234f90ff' d='M9 9h1'/%3E%3Cpath stroke='%234890ff' d='M10 9h1'/%3E%3Cpath stroke='%23428eff' d='M11 9h1'/%3E%3Cpath stroke='%233b8dff' d='M12 9h1'/%3E%3Cpath stroke='%23348aff' d='M13 9h1'/%3E%3Cpath stroke='%233189ff' d='M14 9h1'/%3E%3Cpath stroke='%232f88ff' d='M15 9h1'/%3E%3Cpath stroke='%233188ff' d='M16 9h1'/%3E%3Cpath stroke='%233385fc' d='M17 9h1'/%3E%3Cpath stroke='%233079ed' d='M18 9h1'/%3E%3Cpath stroke='%23215cc8' d='M19 9h1'/%3E%3Cpath stroke='%233f7fff' d='M1 10h1'/%3E%3Cpath stroke='%236397ff' d='M4 10h1'/%3E%3Cpath stroke='%235993ff' d='M7 10h1'/%3E%3Cpath stroke='%235492ff' d='M8 10h1'/%3E%3Cpath stroke='%235093ff' d='M9 10h1'/%3E%3Cpath stroke='%234a95ff' d='M10 10h1'/%3E%3Cpath stroke='%234496ff' d='M11 10h1'/%3E%3Cpath stroke='%233d96ff' d='M12 10h1'/%3E%3Cpath stroke='%233694ff' d='M13 10h1'/%3E%3Cpath stroke='%233193ff' d='M14 10h1'/%3E%3Cpath stroke='%232f92ff' d='M15 10h1'/%3E%3Cpath stroke='%233090ff' d='M16 10h1'/%3E%3Cpath stroke='%23328cfc' d='M17 10h1'/%3E%3Cpath stroke='%232e7def' d='M18 10h1'/%3E%3Cpath stroke='%231e5dc9' d='M19 10h1'/%3E%3Cpath stroke='%235c92ff' d='M3 11h1m1 1h1'/%3E%3Cpath stroke='%235792ff' d='M7 11h1m-1 1h1'/%3E%3Cpath stroke='%235594ff' d='M8 11h1'/%3E%3Cpath stroke='%235298ff' d='M9 11h1'/%3E%3Cpath stroke='%234d9cff' d='M10 11h1'/%3E%3Cpath stroke='%23479eff' d='M11 11h1'/%3E%3Cpath stroke='%23409fff' d='M12 11h1'/%3E%3Cpath stroke='%23379fff' d='M13 11h1'/%3E%3Cpath stroke='%23339dff' d='M14 11h1'/%3E%3Cpath stroke='%232f9bff' d='M15 11h1'/%3E%3Cpath stroke='%232e97ff' d='M16 11h1'/%3E%3Cpath stroke='%232e91fc' d='M17 11h1'/%3E%3Cpath stroke='%232a80f0' d='M18 11h1'/%3E%3Cpath stroke='%231b5dcb' d='M19 11h1'/%3E%3Cpath stroke='%233275ff' d='M1 12h1'/%3E%3Cpath stroke='%235991ff' d='M6 12h1'/%3E%3Cpath stroke='%235596ff' d='M8 12h1'/%3E%3Cpath stroke='%23529cff' d='M9 12h1'/%3E%3Cpath stroke='%234fa1ff' d='M10 12h1'/%3E%3Cpath stroke='%234aa6ff' d='M11 12h1'/%3E%3Cpath stroke='%2342a9ff' d='M12 12h1'/%3E%3Cpath stroke='%233aa9ff' d='M13 12h1'/%3E%3Cpath stroke='%2334a7ff' d='M14 12h1'/%3E%3Cpath stroke='%2330a5ff' d='M15 12h1'/%3E%3Cpath stroke='%232ca0ff' d='M16 12h1'/%3E%3Cpath stroke='%232a96fd' d='M17 12h1'/%3E%3Cpath stroke='%232581f1' d='M18 12h1'/%3E%3Cpath stroke='%23185dcc' d='M19 12h1'/%3E%3Cpath stroke='%232d72ff' d='M1 13h1m0 3h1'/%3E%3Cpath stroke='%23548DFF' d='M5 13h1'/%3E%3Cpath stroke='%235991FF' d='M6 13h1'/%3E%3Cpath stroke='%235792FF' d='M7 13h1'/%3E%3Cpath stroke='%235496FF' d='M8 13h1'/%3E%3Cpath stroke='%23539CFF' d='M9 13h1'/%3E%3Cpath stroke='%234FA1FF' d='M10 13h1'/%3E%3Cpath stroke='%2344AFFE' d='M11 13h1'/%3E%3Cpath stroke='%2344afff' d='M12 13h1'/%3E%3Cpath stroke='%233eb1ff' d='M13 13h1'/%3E%3Cpath stroke='%2337afff' d='M14 13h1'/%3E%3Cpath stroke='%232fabff' d='M15 13h1'/%3E%3Cpath stroke='%2329a4ff' d='M16 13h1'/%3E%3Cpath stroke='%232599fd' d='M17 13h1'/%3E%3Cpath stroke='%231e80f2' d='M18 13h1'/%3E%3Cpath stroke='%23145bcd' d='M19 13h1'/%3E%3Cpath stroke='%23276eff' d='M1 14h1'/%3E%3Cpath stroke='%233d7dff' d='M2 14h1'/%3E%3Cpath stroke='%234985ff' d='M3 14h1'/%3E%3Cpath stroke='%23548DFF' d='M5 14h1'/%3E%3Cpath stroke='%235991FF' d='M6 14h1'/%3E%3Cpath stroke='%235792FF' d='M7 14h1'/%3E%3Cpath stroke='%235496FF' d='M8 14h1'/%3E%3Cpath stroke='%23539CFF' d='M9 14h1'/%3E%3Cpath stroke='%234FA1FF' d='M10 14h1'/%3E%3Cpath stroke='%2344AFFE' d='M11 14h1'/%3E%3Cpath stroke='%2343b1ff' d='M12 14h1'/%3E%3Cpath stroke='%233eb4ff' d='M13 14h1'/%3E%3Cpath stroke='%2335b2ff' d='M14 14h1'/%3E%3Cpath stroke='%232caeff' d='M15 14h1'/%3E%3Cpath stroke='%2324a5ff' d='M16 14h1'/%3E%3Cpath stroke='%231f97fd' d='M17 14h1'/%3E%3Cpath stroke='%231980f3' d='M18 14h1'/%3E%3Cpath stroke='%23105ace' d='M19 14h1'/%3E%3Cpath stroke='%23216aff' d='M1 15h1'/%3E%3Cpath stroke='%233578ff' d='M2 15h1'/%3E%3Cpath stroke='%234885ff' d='M4 15h1'/%3E%3Cpath stroke='%2341afff' d='M12 15h1'/%3E%3Cpath stroke='%233bb2ff' d='M13 15h1'/%3E%3Cpath stroke='%2333b1ff' d='M14 15h1'/%3E%3Cpath stroke='%232aadff' d='M15 15h1'/%3E%3Cpath stroke='%2321a3ff' d='M16 15h1'/%3E%3Cpath stroke='%231a95fd' d='M17 15h1'/%3E%3Cpath stroke='%23137cf2' d='M18 15h1'/%3E%3Cpath stroke='%230c59cf' d='M19 15h1'/%3E%3Cpath stroke='%231c66ff' d='M1 16h1'/%3E%3Cpath stroke='%233879ff' d='M3 16h1'/%3E%3Cpath stroke='%233f7eff' d='M4 16h1'/%3E%3Cpath stroke='%234584ff' d='M6 16h1'/%3E%3Cpath stroke='%234587ff' d='M7 16h1'/%3E%3Cpath stroke='%23468eff' d='M8 16h1'/%3E%3Cpath stroke='%234696ff' d='M9 16h1'/%3E%3Cpath stroke='%23439cff' d='M10 16h1'/%3E%3Cpath stroke='%233fa3ff' d='M11 16h1'/%3E%3Cpath stroke='%233ba8ff' d='M12 16h1'/%3E%3Cpath stroke='%233af' d='M13 16h1'/%3E%3Cpath stroke='%232da9ff' d='M14 16h1'/%3E%3Cpath stroke='%2324a6ff' d='M15 16h1'/%3E%3Cpath stroke='%231d9eff' d='M16 16h1'/%3E%3Cpath stroke='%231690fd' d='M17 16h1'/%3E%3Cpath stroke='%231078f1' d='M18 16h1'/%3E%3Cpath stroke='%230b57ce' d='M19 16h1'/%3E%3Cpath stroke='%231761f9' d='M1 17h1'/%3E%3Cpath stroke='%23246bfa' d='M2 17h1'/%3E%3Cpath stroke='%232f72fb' d='M3 17h1'/%3E%3Cpath stroke='%233676fb' d='M4 17h1'/%3E%3Cpath stroke='%233a7afb' d='M5 17h1'/%3E%3Cpath stroke='%233b7bfc' d='M6 17h1'/%3E%3Cpath stroke='%233b7efc' d='M7 17h1'/%3E%3Cpath stroke='%233c84fc' d='M8 17h1'/%3E%3Cpath stroke='%233b8afc' d='M9 17h1'/%3E%3Cpath stroke='%233990fc' d='M10 17h1'/%3E%3Cpath stroke='%233695fc' d='M11 17h1'/%3E%3Cpath stroke='%233299fc' d='M12 17h1'/%3E%3Cpath stroke='%232c9cfd' d='M13 17h1'/%3E%3Cpath stroke='%23259bfd' d='M14 17h1'/%3E%3Cpath stroke='%231e97fd' d='M15 17h1'/%3E%3Cpath stroke='%231790fc' d='M16 17h1'/%3E%3Cpath stroke='%231184fa' d='M17 17h1'/%3E%3Cpath stroke='%230c6ded' d='M18 17h1'/%3E%3Cpath stroke='%230850c8' d='M19 17h1'/%3E%3Cpath stroke='%232f6ae4' d='M1 18h1'/%3E%3Cpath stroke='%231b5fe9' d='M2 18h1'/%3E%3Cpath stroke='%232163e8' d='M3 18h1'/%3E%3Cpath stroke='%232868eb' d='M4 18h1'/%3E%3Cpath stroke='%232c6aea' d='M5 18h1'/%3E%3Cpath stroke='%232e6dea' d='M6 18h1'/%3E%3Cpath stroke='%232d6deb' d='M7 18h1'/%3E%3Cpath stroke='%232c71ec' d='M8 18h1'/%3E%3Cpath stroke='%232c76ec' d='M9 18h1'/%3E%3Cpath stroke='%232a79ed' d='M10 18h1'/%3E%3Cpath stroke='%23287eef' d='M11 18h1'/%3E%3Cpath stroke='%232481f1' d='M12 18h1'/%3E%3Cpath stroke='%232182f1' d='M13 18h1'/%3E%3Cpath stroke='%231c80f1' d='M14 18h1'/%3E%3Cpath stroke='%231880f3' d='M15 18h1'/%3E%3Cpath stroke='%23117af2' d='M16 18h1'/%3E%3Cpath stroke='%230c6eed' d='M17 18h1'/%3E%3Cpath stroke='%230a5ddd' d='M18 18h1'/%3E%3Cpath stroke='%23265dc1' d='M19 18h1'/%3E%3Cpath stroke='%2393b4f2' d='M0 19h1m19 0h1'/%3E%3Cpath stroke='%23d1ddf4' d='M1 19h1'/%3E%3Cpath stroke='%232e61ca' d='M2 19h1'/%3E%3Cpath stroke='%23134bbf' d='M3 19h1'/%3E%3Cpath stroke='%23164fc2' d='M4 19h1'/%3E%3Cpath stroke='%231950c1' d='M5 19h1'/%3E%3Cpath stroke='%231b52c1' d='M6 19h1'/%3E%3Cpath stroke='%231a52c3' d='M7 19h1'/%3E%3Cpath stroke='%231954c6' d='M8 19h1'/%3E%3Cpath stroke='%231b58c9' d='M9 19h1'/%3E%3Cpath stroke='%231858c8' d='M10 19h1'/%3E%3Cpath stroke='%23165bcd' d='M11 19h1'/%3E%3Cpath stroke='%23145cd0' d='M12 19h1'/%3E%3Cpath stroke='%23135cd0' d='M13 19h1'/%3E%3Cpath stroke='%230f58cc' d='M14 19h1'/%3E%3Cpath stroke='%230d5ad2' d='M15 19h1'/%3E%3Cpath stroke='%230b58d1' d='M16 19h1'/%3E%3Cpath stroke='%230951cb' d='M17 19h1'/%3E%3Cpath stroke='%23265ec3' d='M18 19h1'/%3E%3Cpath stroke='%23d0daee' d='M19 19h1'/%3E%3Cpath stroke='%2393b3f2' d='M1 20h1m17 0h1'/%3E%3Cpath stroke='%23fefefe' d='M14 20h1'/%3E%3Cpath stroke='%23fdfdfd' d='M15 20h1m1 0h1'/%3E%3Cpath stroke='%23fcfcfc' d='M16 20h1'/%3E%3Cpath stroke='%23f2f5fc' d='M18 20h1M5 15h9M5 9h9M5 10h9M5.5 8.5v7M13.5 8.5v7M7 5h9M7 6h9M14 11h2M7.5 5v4M15.5 5v6'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Restore]: not(: disabled): active{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%2393b1ed' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m15 0h1M0 2h1m19 0h1M0 18h1m19 0h1M2 20h1m15 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m19 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23a7bcee' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23cfd3da' d='M1 1h1'/%3E%3Cpath stroke='%231f3b5f' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23002453' d='M3 1h1M1 4h1'/%3E%3Cpath stroke='%23002557' d='M4 1h1'/%3E%3Cpath stroke='%23002658' d='M5 1h1'/%3E%3Cpath stroke='%2300285c' d='M6 1h1'/%3E%3Cpath stroke='%23002a61' d='M7 1h1'/%3E%3Cpath stroke='%23002d67' d='M8 1h1'/%3E%3Cpath stroke='%23002f6b' d='M9 1h1'/%3E%3Cpath stroke='%23002f6c' d='M10 1h1M1 10h1'/%3E%3Cpath stroke='%23003273' d='M11 1h1'/%3E%3Cpath stroke='%23003478' d='M12 1h1M5 2h1'/%3E%3Cpath stroke='%2300357b' d='M13 1h1M2 5h1m-2 8h1'/%3E%3Cpath stroke='%2300377f' d='M14 1h1M6 2h1'/%3E%3Cpath stroke='%23003780' d='M15 1h1'/%3E%3Cpath stroke='%23003984' d='M16 1h1'/%3E%3Cpath stroke='%23003882' d='M17 1h1M3 3h1'/%3E%3Cpath stroke='%231f5295' d='M18 1h1'/%3E%3Cpath stroke='%23cfdae9' d='M19 1h1'/%3E%3Cpath stroke='%23002a62' d='M2 2h1'/%3E%3Cpath stroke='%23003070' d='M3 2h1'/%3E%3Cpath stroke='%23003275' d='M4 2h1'/%3E%3Cpath stroke='%23003883' d='M7 2h1M1 17h1'/%3E%3Cpath stroke='%23003a88' d='M8 2h1'/%3E%3Cpath stroke='%23003d8f' d='M9 2h1M2 9h1'/%3E%3Cpath stroke='%23003e90' d='M10 2h1'/%3E%3Cpath stroke='%23004094' d='M11 2h1'/%3E%3Cpath stroke='%23004299' d='M12 2h1M2 12h1'/%3E%3Cpath stroke='%2300439b' d='M13 2h1'/%3E%3Cpath stroke='%2300449e' d='M14 2h1M2 14h1'/%3E%3Cpath stroke='%2300459f' d='M15 2h1'/%3E%3Cpath stroke='%230045a1' d='M16 2h1m1 0h1M2 17h1'/%3E%3Cpath stroke='%230045a0' d='M17 2h1M2 15h1'/%3E%3Cpath stroke='%231f5aa8' d='M19 2h1'/%3E%3Cpath stroke='%23002452' d='M1 3h1'/%3E%3Cpath stroke='%23003170' d='M2 3h1'/%3E%3Cpath stroke='%23003b8b' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23003c8f' d='M5 3h1'/%3E%3Cpath stroke='%23003e94' d='M6 3h1'/%3E%3Cpath stroke='%23004099' d='M7 3h1'/%3E%3Cpath stroke='%2300429d' d='M8 3h1'/%3E%3Cpath stroke='%230044a2' d='M9 3h1'/%3E%3Cpath stroke='%230046a5' d='M10 3h1'/%3E%3Cpath stroke='%230048a8' d='M11 3h1'/%3E%3Cpath stroke='%230049ab' d='M12 3h1m-3 2h1'/%3E%3Cpath stroke='%23004aac' d='M13 3h1'/%3E%3Cpath stroke='%23004aad' d='M14 3h1'/%3E%3Cpath stroke='%23004bae' d='M15 3h2m1 0h1M3 14h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23004baf' d='M17 3h1m-5 2h1m-7 5h1m-5 7h1m-1 1h1'/%3E%3Cpath stroke='%23004bad' d='M19 3h1M3 13h1m-1 6h1'/%3E%3Cpath stroke='%23037' d='M2 4h1m-2 8h1'/%3E%3Cpath stroke='%23003d92' d='M4 4h1'/%3E%3Cpath stroke='%23003f97' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%2300419d' d='M6 4h1M4 6h1'/%3E%3Cpath stroke='%230043a1' d='M7 4h1'/%3E%3Cpath stroke='%230045a4' d='M8 4h1'/%3E%3Cpath stroke='%230047a8' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%230048ab' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%230049ad' d='M11 4h1m-2 2h1m-6 5h1'/%3E%3Cpath stroke='%23004aae' d='M12 4h1m-1 1h1m-2 1h1m-6 5h1m-3 1h2'/%3E%3Cpath stroke='%23004cb0' d='M13 4h1m0 1h1m-8 6h1m-4 2h1'/%3E%3Cpath stroke='%23004db1' d='M14 4h3m-2 1h2m-4 1h4M7 12h1m-4 2h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23004db2' d='M17 4h3m-3 1h3m-2 1h2m-8 1h1m6 0h1m-9 1h1m-4 3h1m-5 6h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%23002555' d='M1 5h1'/%3E%3Cpath stroke='%23003d90' d='M3 5h1'/%3E%3Cpath stroke='%2300409c' d='M5 5h1'/%3E%3Cpath stroke='%230042a1' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%230044a5' d='M7 5h1M6 6h1'/%3E%3Cpath stroke='%230046a8' d='M8 5h1M5 8h1'/%3E%3Cpath stroke='%230047aa' d='M9 5h1'/%3E%3Cpath stroke='%230049ac' d='M11 5h1m-7 5h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%2300275a' d='M1 6h1'/%3E%3Cpath stroke='%23003781' d='M2 6h1m-2 9h1'/%3E%3Cpath stroke='%23003f95' d='M3 6h1'/%3E%3Cpath stroke='%230045a9' d='M7 6h1'/%3E%3Cpath stroke='%230046aa' d='M8 6h1M6 7h1'/%3E%3Cpath stroke='%230047ac' d='M9 6h1M7 7h1'/%3E%3Cpath stroke='%23004bb0' d='M12 6h1M8 9h1m-3 3h1'/%3E%3Cpath stroke='%23004eb3' d='M17 6h1m-5 1h1m4 0h1m0 1h1M10 9h1m-2 1h1m-3 6h1m-2 1h2m0 2h1'/%3E%3Cpath stroke='%2300295f' d='M1 7h1'/%3E%3Cpath stroke='%23003985' d='M2 7h1'/%3E%3Cpath stroke='%2300419b' d='M3 7h1'/%3E%3Cpath stroke='%230043a2' d='M4 7h1'/%3E%3Cpath stroke='%230044a6' d='M5 7h1'/%3E%3Cpath stroke='%230048ad' d='M8 7h1M6 9h1'/%3E%3Cpath stroke='%230049ae' d='M9 7h1M7 8h2m-3 2h1'/%3E%3Cpath stroke='%23004aaf' d='M10 7h1M9 8h1M7 9h1'/%3E%3Cpath stroke='%23004cb1' d='M11 7h1m-2 1h1M9 9h1m-2 1h1'/%3E%3Cpath stroke='%23004fb3' d='M14 7h1'/%3E%3Cpath stroke='%23004fb4' d='M15 7h3m-6 1h1m5 0h1m0 1h1M8 12h1m-1 6h1m0 1h1'/%3E%3Cpath stroke='%23002b63' d='M1 8h1'/%3E%3Cpath stroke='%23003b8a' d='M2 8h1'/%3E%3Cpath stroke='%2300439f' d='M3 8h1'/%3E%3Cpath stroke='%230045a5' d='M4 8h1'/%3E%3Cpath stroke='%230047ab' d='M6 8h1M5 9h1'/%3E%3Cpath stroke='%230050b5' d='M13 8h2m1 0h2m-7 1h1m-2 1h1m8 0h1M9 11h1m-2 5h1m-1 1h1m1 2h1'/%3E%3Cpath stroke='%230051b6' d='M15 8h1m2 1h1m0 2h1m-1 1h1m-1 5h1M9 18h1m1 1h1'/%3E%3Cpath stroke='%23002d68' d='M1 9h1'/%3E%3Cpath stroke='%230045a3' d='M3 9h1'/%3E%3Cpath stroke='%230052b7' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1m9 1h1m-8 6h2m3 0h1'/%3E%3Cpath stroke='%230053b8' d='M13 9h1m2 0h2m0 1h1m0 4h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h1m1 0h1'/%3E%3Cpath stroke='%230054b9' d='M14 9h2m2 9h1m-4 1h1'/%3E%3Cpath stroke='%23003f93' d='M2 10h1'/%3E%3Cpath stroke='%230047a7' d='M3 10h1'/%3E%3Cpath stroke='%230055ba' d='M12 10h1m4 0h1m-7 1h1m6 0h1m-9 6h1m0 1h1'/%3E%3Cpath stroke='%230056bb' d='M13 10h1m2 0h1m1 2h1m-9 4h1'/%3E%3Cpath stroke='%230057bc' d='M14 10h2m-5 2h1m6 5h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23003172' d='M1 11h1'/%3E%3Cpath stroke='%23004095' d='M2 11h1'/%3E%3Cpath stroke='%230048aa' d='M3 11h1'/%3E%3Cpath stroke='%230058bd' d='M12 11h1m4 0h1m0 2h1m-6 5h1'/%3E%3Cpath stroke='%230059be' d='M13 11h1m2 0h1m-6 5h1m6 0h1m-5 2h1m1 0h1'/%3E%3Cpath stroke='%23005abf' d='M12 12h1m4 0h1m-6 5h1m2 1h1'/%3E%3Cpath stroke='%230055b9' d='M10 12h1'/%3E%3Cpath stroke='%23005cc1' d='M13 12h1m2 0h1m-5 1h1m4 0h1m-5 4h1'/%3E%3Cpath stroke='%23005dc2' d='M14 12h1m-3 2h1m4 0h1m-6 1h1m4 1h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%23005ec3' d='M15 12h1m-3 1h1m2 0h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%2300449d' d='M2 13h1'/%3E%3Cpath stroke='%2378a2d8' d='M5 13h7m-7 1h7m-7 1h7M5 13h1'/%3E%3Cpath stroke='%23004BB0' d='M6 13h1'/%3E%3Cpath stroke='%23004DB1' d='M7 13h1'/%3E%3Cpath stroke='%23004FB4' d='M8 13h1'/%3E%3Cpath stroke='%230052B7' d='M9 13h1'/%3E%3Cpath stroke='%230055B9' d='M10 13h1'/%3E%3Cpath stroke='%230157BC' d='M11 13h1'/%3E%3Cpath stroke='%2378a2d8' d='M13 13h1'/%3E%3Cpath stroke='%23005fc4' d='M14 13h1m1 1h1'/%3E%3Cpath stroke='%230060c5' d='M15 13h1m-2 1h1m1 1h1m-2 1h1'/%3E%3Cpath stroke='%2300367e' d='M1 14h1'/%3E%3Cpath stroke='%230061c6' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23004BB0' d='M6 14h1'/%3E%3Cpath stroke='%23004DB1' d='M7 14h1'/%3E%3Cpath stroke='%23004FB4' d='M8 14h1'/%3E%3Cpath stroke='%230052B7' d='M9 14h1'/%3E%3Cpath stroke='%230055B9' d='M10 14h1'/%3E%3Cpath stroke='%230157BC' d='M11 14h1'/%3E%3Cpath stroke='%2378a2d8' d='M13 14h1'/%3E%3Cpath stroke='%230059bd' d='M18 14h1'/%3E%3Cpath stroke='%2378a2d8' d='M12 15h1M13 15h1'/%3E%3Cpath stroke='%230062c6' d='M15 15h1'/%3E%3Cpath stroke='%23005abe' d='M18 15h1'/%3E%3Cpath stroke='%230054b8' d='M19 15h1'/%3E%3Cpath stroke='%23003881' d='M1 16h1'/%3E%3Cpath stroke='%230046a1' d='M2 16h1'/%3E%3Cpath stroke='%23004eb2' d='M6 16h1'/%3E%3Cpath stroke='%23005cc0' d='M12 16h1'/%3E%3Cpath stroke='%23005fc3' d='M14 16h1'/%3E%3Cpath stroke='%230060c4' d='M16 16h1'/%3E%3Cpath stroke='%230058bc' d='M11 17h1'/%3E%3Cpath stroke='%23005bc0' d='M17 17h1'/%3E%3Cpath stroke='%231f5294' d='M1 18h1'/%3E%3Cpath stroke='%230046a2' d='M2 18h1'/%3E%3Cpath stroke='%231f66be' d='M19 18h1'/%3E%3Cpath stroke='%23a7bef0' d='M0 19h1m0 1h1m17 0h1'/%3E%3Cpath stroke='%23cfdae8' d='M1 19h1'/%3E%3Cpath stroke='%231f5ba9' d='M2 19h1'/%3E%3Cpath stroke='%231f66bf' d='M18 19h1'/%3E%3Cpath stroke='%23cfdef1' d='M19 19h1'/%3E%3Cpath stroke='%2393b4f2' d='M20 19h1'/%3E%3Cpath stroke='%2378a2d8' d='M5 15h9M5 9h9M5 10h9M5.5 8.5v7M13.5 8.5v7M7 5h9M7 6h9M14 11h2M7.5 5v4M15.5 5v6'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Help]{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23b5c6ef' d='M1 0h1m17 0h1M0 1h1m19 0h1M0 19h1m19 0h1M1 20h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h16M0 2h1M0 3h1m19 0h1M0 4h1m8 0h3m8 0h1M0 5h1m7 0h1m3 0h1m7 0h1M0 6h1m6 0h1m5 0h1m6 0h1M0 7h1m12 0h1m6 0h1M0 8h1m12 0h1m6 0h1M0 9h1m12 0h1m6 0h1M0 10h1m10 0h2m7 0h1M0 11h1m9 0h1m9 0h1M0 12h1m9 0h1m9 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m9 0h1m9 0h1M0 16h1m9 0h1m9 0h1M0 17h1m19 0h1m-1 1h1M2 20h16'/%3E%3Cpath stroke='%23dce5fd' d='M1 1h1'/%3E%3Cpath stroke='%23739af8' d='M2 1h1'/%3E%3Cpath stroke='%23608cf7' d='M3 1h1M2 8h1'/%3E%3Cpath stroke='%235584f6' d='M4 1h1'/%3E%3Cpath stroke='%234d7ef6' d='M5 1h1M1 6h1m5 4h1'/%3E%3Cpath stroke='%23487af5' d='M6 1h1'/%3E%3Cpath stroke='%234276f5' d='M7 1h1M3 14h1'/%3E%3Cpath stroke='%234478f5' d='M8 1h1m5 3h1M2 12h1'/%3E%3Cpath stroke='%233e73f5' d='M9 1h2'/%3E%3Cpath stroke='%233b71f5' d='M11 1h2'/%3E%3Cpath stroke='%23336cf4' d='M13 1h2'/%3E%3Cpath stroke='%23306af4' d='M15 1h1'/%3E%3Cpath stroke='%232864f4' d='M16 1h1'/%3E%3Cpath stroke='%231f5def' d='M17 1h1'/%3E%3Cpath stroke='%233467e0' d='M18 1h1'/%3E%3Cpath stroke='%23d2dbf2' d='M19 1h1'/%3E%3Cpath stroke='%23769cf8' d='M1 2h1'/%3E%3Cpath stroke='%2390aff9' d='M2 2h1'/%3E%3Cpath stroke='%2394b2f9' d='M3 2h1'/%3E%3Cpath stroke='%2385a7f8' d='M4 2h1'/%3E%3Cpath stroke='%23759cf8' d='M5 2h1'/%3E%3Cpath stroke='%236e97f8' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%236892f7' d='M7 2h1'/%3E%3Cpath stroke='%236690f7' d='M8 2h1'/%3E%3Cpath stroke='%23628ef7' d='M9 2h1m0 1h1'/%3E%3Cpath stroke='%235f8cf7' d='M10 2h1'/%3E%3Cpath stroke='%235e8bf7' d='M11 2h1'/%3E%3Cpath stroke='%235988f6' d='M12 2h1'/%3E%3Cpath stroke='%235685f6' d='M13 2h1'/%3E%3Cpath stroke='%235082f6' d='M14 2h1'/%3E%3Cpath stroke='%23497cf5' d='M15 2h1'/%3E%3Cpath stroke='%233f75f5' d='M16 2h1m-2 2h1'/%3E%3Cpath stroke='%23326bf2' d='M17 2h1'/%3E%3Cpath stroke='%23235ce3' d='M18 2h1'/%3E%3Cpath stroke='%23305cc5' d='M19 2h1'/%3E%3Cpath stroke='%236590f7' d='M1 3h1'/%3E%3Cpath stroke='%2397b4f9' d='M2 3h1'/%3E%3Cpath stroke='%239ab7fa' d='M3 3h1'/%3E%3Cpath stroke='%2389aaf9' d='M4 3h1M2 4h1'/%3E%3Cpath stroke='%237aa0f8' d='M5 3h1'/%3E%3Cpath stroke='%23729af8' d='M6 3h1'/%3E%3Cpath stroke='%236d95f8' d='M7 3h1'/%3E%3Cpath stroke='%236892f8' d='M8 3h1M2 7h1'/%3E%3Cpath stroke='%23658ff7' d='M9 3h1'/%3E%3Cpath stroke='%23618df7' d='M11 3h1'/%3E%3Cpath stroke='%235d8af7' d='M12 3h1M3 9h1'/%3E%3Cpath stroke='%235987f6' d='M13 3h1M2 9h1'/%3E%3Cpath stroke='%235283f6' d='M14 3h1'/%3E%3Cpath stroke='%234c7ef6' d='M15 3h1M5 14h1'/%3E%3Cpath stroke='%234377f5' d='M16 3h1'/%3E%3Cpath stroke='%23376ef2' d='M17 3h1'/%3E%3Cpath stroke='%23285fe3' d='M18 3h1'/%3E%3Cpath stroke='%231546b9' d='M19 3h1'/%3E%3Cpath stroke='%235886f6' d='M1 4h1'/%3E%3Cpath stroke='%238dadf9' d='M3 4h1'/%3E%3Cpath stroke='%237fa3f8' d='M4 4h1'/%3E%3Cpath stroke='%237199f8' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%236a93f8' d='M6 4h1M4 6h1M3 7h1'/%3E%3Cpath stroke='%2392aff9' d='M7 4h1'/%3E%3Cpath stroke='%23e1e9fd' d='M8 4h1'/%3E%3Cpath stroke='%23e0e8fd' d='M12 4h1'/%3E%3Cpath stroke='%2381a4f8' d='M13 4h1'/%3E%3Cpath stroke='%233a72f4' d='M16 4h1'/%3E%3Cpath stroke='%23346cf2' d='M17 4h1'/%3E%3Cpath stroke='%232a61e3' d='M18 4h1'/%3E%3Cpath stroke='%231848bb' d='M19 4h1'/%3E%3Cpath stroke='%235282f6' d='M1 5h1m4 6h1m-3 1h1'/%3E%3Cpath stroke='%23799ff8' d='M2 5h1'/%3E%3Cpath stroke='%237ca1f8' d='M3 5h1'/%3E%3Cpath stroke='%236791f8' d='M5 5h1'/%3E%3Cpath stroke='%238eacf9' d='M6 5h1'/%3E%3Cpath stroke='%23f3f6fe' d='M7 5h1'/%3E%3Cpath stroke='%23d8e2fd' d='M9 5h1'/%3E%3Cpath stroke='%23cfdcfc' d='M10 5h1'/%3E%3Cpath stroke='%23ecf1fe' d='M11 5h1'/%3E%3Cpath stroke='%23eff4fe' d='M13 5h1'/%3E%3Cpath stroke='%23749af7' d='M14 5h1'/%3E%3Cpath stroke='%23326cf4' d='M15 5h1'/%3E%3Cpath stroke='%23316bf4' d='M16 5h1M3 16h1'/%3E%3Cpath stroke='%233069f1' d='M17 5h1'/%3E%3Cpath stroke='%232c62e4' d='M18 5h1'/%3E%3Cpath stroke='%231d4cbc' d='M19 5h1m-1 1h1'/%3E%3Cpath stroke='%237099f8' d='M3 6h1'/%3E%3Cpath stroke='%23628cf8' d='M5 6h1'/%3E%3Cpath stroke='%23d3dffd' d='M6 6h1'/%3E%3Cpath stroke='%23b2c6fb' d='M8 6h1'/%3E%3Cpath stroke='%234777f6' d='M9 6h1'/%3E%3Cpath stroke='%234072f5' d='M10 6h1'/%3E%3Cpath stroke='%234a7bf6' d='M11 6h1'/%3E%3Cpath stroke='%23c8d7fc' d='M12 6h1'/%3E%3Cpath stroke='%23c6d6fc' d='M14 6h1'/%3E%3Cpath stroke='%232c69f5' d='M15 6h1'/%3E%3Cpath stroke='%232d69f5' d='M16 6h1'/%3E%3Cpath stroke='%232e69f2' d='M17 6h1'/%3E%3Cpath stroke='%232c63e5' d='M18 6h1'/%3E%3Cpath stroke='%234679f5' d='M1 7h1M1 8h1'/%3E%3Cpath stroke='%23658ff8' d='M4 7h1'/%3E%3Cpath stroke='%235e89f7' d='M5 7h1'/%3E%3Cpath stroke='%23e6edfe' d='M6 7h1'/%3E%3Cpath stroke='%23e5ecfe' d='M7 7h1'/%3E%3Cpath stroke='%235a85f7' d='M8 7h1'/%3E%3Cpath stroke='%234375f5' d='M9 7h1'/%3E%3Cpath stroke='%233d71f5' d='M10 7h1'/%3E%3Cpath stroke='%23366ef4' d='M11 7h1M2 14h1'/%3E%3Cpath stroke='%236c97f8' d='M12 7h1'/%3E%3Cpath stroke='%23cfddfd' d='M14 7h1'/%3E%3Cpath stroke='%232766f5' d='M15 7h1'/%3E%3Cpath stroke='%232a68f5' d='M16 7h1'/%3E%3Cpath stroke='%232c69f2' d='M17 7h1'/%3E%3Cpath stroke='%232a62e4' d='M18 7h1'/%3E%3Cpath stroke='%231c4cbd' d='M19 7h1'/%3E%3Cpath stroke='%23628df8' d='M3 8h1'/%3E%3Cpath stroke='%23608bf7' d='M4 8h1'/%3E%3Cpath stroke='%235b87f7' d='M5 8h1'/%3E%3Cpath stroke='%235482f7' d='M6 8h1'/%3E%3Cpath stroke='%234e7cf6' d='M7 8h1'/%3E%3Cpath stroke='%234778f6' d='M8 8h1'/%3E%3Cpath stroke='%234174f5' d='M9 8h1'/%3E%3Cpath stroke='%233a71f5' d='M10 8h1'/%3E%3Cpath stroke='%23346ef4' d='M11 8h1'/%3E%3Cpath stroke='%2385a9f9' d='M12 8h1'/%3E%3Cpath stroke='%23cbdbfd' d='M14 8h1'/%3E%3Cpath stroke='%232266f5' d='M15 8h1'/%3E%3Cpath stroke='%232567f5' d='M16 8h1'/%3E%3Cpath stroke='%232968f2' d='M17 8h1'/%3E%3Cpath stroke='%232963e4' d='M18 8h1'/%3E%3Cpath stroke='%231b4bbd' d='M19 8h1'/%3E%3Cpath stroke='%233c72f4' d='M1 9h1'/%3E%3Cpath stroke='%235d89f7' d='M4 9h1'/%3E%3Cpath stroke='%235986f7' d='M5 9h1m-2 1h1'/%3E%3Cpath stroke='%235381f6' d='M6 9h1'/%3E%3Cpath stroke='%234e7ef6' d='M7 9h1'/%3E%3Cpath stroke='%23477af5' d='M8 9h1'/%3E%3Cpath stroke='%234178f5' d='M9 9h1'/%3E%3Cpath stroke='%233a74f5' d='M10 9h1'/%3E%3Cpath stroke='%2396b6fa' d='M11 9h1'/%3E%3Cpath stroke='%23f2f6fe' d='M12 9h1'/%3E%3Cpath stroke='%2393b6fb' d='M14 9h1'/%3E%3Cpath stroke='%232069f6' d='M15 9h1'/%3E%3Cpath stroke='%232268f5' d='M16 9h1'/%3E%3Cpath stroke='%232569f2' d='M17 9h1'/%3E%3Cpath stroke='%232562e6' d='M18 9h1'/%3E%3Cpath stroke='%23194bbe' d='M19 9h1'/%3E%3Cpath stroke='%23376ef4' d='M1 10h1'/%3E%3Cpath stroke='%235181f6' d='M2 10h1'/%3E%3Cpath stroke='%235785f7' d='M3 10h1m1 0h1'/%3E%3Cpath stroke='%235281f6' d='M6 10h1'/%3E%3Cpath stroke='%23477bf6' d='M8 10h1'/%3E%3Cpath stroke='%234e82f7' d='M9 10h1'/%3E%3Cpath stroke='%23cadafc' d='M10 10h1'/%3E%3Cpath stroke='%23a0c0fb' d='M13 10h1'/%3E%3Cpath stroke='%232a72f6' d='M14 10h1'/%3E%3Cpath stroke='%231e6bf6' d='M15 10h1'/%3E%3Cpath stroke='%231f6af6' d='M16 10h1'/%3E%3Cpath stroke='%23216af3' d='M17 10h1'/%3E%3Cpath stroke='%232162e6' d='M18 10h1'/%3E%3Cpath stroke='%231649be' d='M19 10h1'/%3E%3Cpath stroke='%23326bf4' d='M1 11h1'/%3E%3Cpath stroke='%234b7df5' d='M2 11h1'/%3E%3Cpath stroke='%235483f6' d='M3 11h1'/%3E%3Cpath stroke='%235684f7' d='M4 11h1'/%3E%3Cpath stroke='%235583f7' d='M5 11h1'/%3E%3Cpath stroke='%234d80f6' d='M7 11h1'/%3E%3Cpath stroke='%23487df6' d='M8 11h1'/%3E%3Cpath stroke='%23bcd1fc' d='M9 11h1'/%3E%3Cpath stroke='%23dde8fd' d='M11 11h1'/%3E%3Cpath stroke='%235f97f8' d='M12 11h1'/%3E%3Cpath stroke='%232673f7' d='M13 11h1'/%3E%3Cpath stroke='%232171f7' d='M14 11h1'/%3E%3Cpath stroke='%231c6ff6' d='M15 11h1'/%3E%3Cpath stroke='%231c6df6' d='M16 11h1'/%3E%3Cpath stroke='%231c6af4' d='M17 11h1'/%3E%3Cpath stroke='%231c61e6' d='M18 11h1'/%3E%3Cpath stroke='%231248bf' d='M19 11h1'/%3E%3Cpath stroke='%232b66f4' d='M1 12h1'/%3E%3Cpath stroke='%234e7ff6' d='M3 12h1'/%3E%3Cpath stroke='%235383f6' d='M5 12h1'/%3E%3Cpath stroke='%235182f6' d='M6 12h1'/%3E%3Cpath stroke='%234d81f7' d='M7 12h1'/%3E%3Cpath stroke='%23487ff6' d='M8 12h1'/%3E%3Cpath stroke='%23dfe9fd' d='M9 12h1'/%3E%3Cpath stroke='%234687f7' d='M11 12h1'/%3E%3Cpath stroke='%232d7af7' d='M12 12h1'/%3E%3Cpath stroke='%232677f7' d='M13 12h1'/%3E%3Cpath stroke='%232174f7' d='M14 12h1'/%3E%3Cpath stroke='%231b71f7' d='M15 12h1'/%3E%3Cpath stroke='%23186ef7' d='M16 12h1'/%3E%3Cpath stroke='%23186af4' d='M17 12h1'/%3E%3Cpath stroke='%23165fe7' d='M18 12h1'/%3E%3Cpath stroke='%230f47c0' d='M19 12h1'/%3E%3Cpath stroke='%232562f3' d='M1 13h1'/%3E%3Cpath stroke='%233d73f4' d='M2 13h1'/%3E%3Cpath stroke='%23487bf5' d='M3 13h1'/%3E%3Cpath stroke='%234e80f6' d='M4 13h1'/%3E%3Cpath stroke='%235081f6' d='M5 13h1'/%3E%3Cpath stroke='%234e81f6' d='M6 13h1'/%3E%3Cpath stroke='%234b80f6' d='M7 13h1'/%3E%3Cpath stroke='%23477ff6' d='M8 13h1'/%3E%3Cpath stroke='%23d2e0fd' d='M9 13h1'/%3E%3Cpath stroke='%23edf3fe' d='M10 13h1'/%3E%3Cpath stroke='%23367ff7' d='M11 13h1'/%3E%3Cpath stroke='%232d7cf7' d='M12 13h1'/%3E%3Cpath stroke='%232679f8' d='M13 13h1'/%3E%3Cpath stroke='%232077f7' d='M14 13h1'/%3E%3Cpath stroke='%231973f7' d='M15 13h1'/%3E%3Cpath stroke='%23166ff7' d='M16 13h1'/%3E%3Cpath stroke='%231369f4' d='M17 13h1'/%3E%3Cpath stroke='%23105de8' d='M18 13h1'/%3E%3Cpath stroke='%230a44bf' d='M19 13h1'/%3E%3Cpath stroke='%231e5df3' d='M1 14h1'/%3E%3Cpath stroke='%23497bf5' d='M4 14h1'/%3E%3Cpath stroke='%234a7ef7' d='M6 14h1'/%3E%3Cpath stroke='%23487ef6' d='M7 14h1'/%3E%3Cpath stroke='%23457ff6' d='M8 14h1'/%3E%3Cpath stroke='%234180f6' d='M9 14h1'/%3E%3Cpath stroke='%233b7ff6' d='M10 14h1'/%3E%3Cpath stroke='%23357ff7' d='M11 14h1'/%3E%3Cpath stroke='%232d7df7' d='M12 14h1'/%3E%3Cpath stroke='%23257af8' d='M13 14h1'/%3E%3Cpath stroke='%231e77f8' d='M14 14h1'/%3E%3Cpath stroke='%231773f8' d='M15 14h1'/%3E%3Cpath stroke='%23116df7' d='M16 14h1'/%3E%3Cpath stroke='%230d66f4' d='M17 14h1m-3 3h1'/%3E%3Cpath stroke='%230b59e7' d='M18 14h1'/%3E%3Cpath stroke='%230641c0' d='M19 14h1m-6 5h1'/%3E%3Cpath stroke='%231859f3' d='M1 15h1'/%3E%3Cpath stroke='%232e68f4' d='M2 15h1'/%3E%3Cpath stroke='%233a71f4' d='M3 15h1'/%3E%3Cpath stroke='%234277f5' d='M4 15h1'/%3E%3Cpath stroke='%23467af5' d='M5 15h1'/%3E%3Cpath stroke='%23457af6' d='M6 15h1'/%3E%3Cpath stroke='%23437bf6' d='M7 15h1'/%3E%3Cpath stroke='%23417cf6' d='M8 15h1'/%3E%3Cpath stroke='%23cbdcfd' d='M9 15h1'/%3E%3Cpath stroke='%23327df7' d='M11 15h1'/%3E%3Cpath stroke='%232a7cf8' d='M12 15h1'/%3E%3Cpath stroke='%23247af8' d='M13 15h1'/%3E%3Cpath stroke='%231d77f8' d='M14 15h1'/%3E%3Cpath stroke='%231573f8' d='M15 15h1'/%3E%3Cpath stroke='%230e6cf8' d='M16 15h1'/%3E%3Cpath stroke='%230963f4' d='M17 15h1'/%3E%3Cpath stroke='%230556e7' d='M18 15h1'/%3E%3Cpath stroke='%23023fbf' d='M19 15h1'/%3E%3Cpath stroke='%231456f3' d='M1 16h1'/%3E%3Cpath stroke='%232562f4' d='M2 16h1'/%3E%3Cpath stroke='%233971f4' d='M4 16h1'/%3E%3Cpath stroke='%233d74f5' d='M5 16h1'/%3E%3Cpath stroke='%233d74f6' d='M6 16h1'/%3E%3Cpath stroke='%233b75f5' d='M7 16h1'/%3E%3Cpath stroke='%233976f5' d='M8 16h1'/%3E%3Cpath stroke='%23f5f8fe' d='M9 16h1'/%3E%3Cpath stroke='%232c78f7' d='M11 16h1'/%3E%3Cpath stroke='%232577f7' d='M12 16h1'/%3E%3Cpath stroke='%231f76f7' d='M13 16h1'/%3E%3Cpath stroke='%231972f7' d='M14 16h1'/%3E%3Cpath stroke='%23116ef8' d='M15 16h1'/%3E%3Cpath stroke='%230b68f7' d='M16 16h1'/%3E%3Cpath stroke='%230560f4' d='M17 16h1'/%3E%3Cpath stroke='%230253e6' d='M18 16h1'/%3E%3Cpath stroke='%23013dbe' d='M19 16h1'/%3E%3Cpath stroke='%230e50ed' d='M1 17h1'/%3E%3Cpath stroke='%231c5bef' d='M2 17h1'/%3E%3Cpath stroke='%232863f0' d='M3 17h1'/%3E%3Cpath stroke='%232f68f0' d='M4 17h1'/%3E%3Cpath stroke='%23336bf1' d='M5 17h1'/%3E%3Cpath stroke='%23346cf1' d='M6 17h1'/%3E%3Cpath stroke='%23316cf2' d='M7 17h1'/%3E%3Cpath stroke='%23316df2' d='M8 17h1'/%3E%3Cpath stroke='%232e6ff2' d='M9 17h1'/%3E%3Cpath stroke='%232a70f2' d='M10 17h1'/%3E%3Cpath stroke='%232570f3' d='M11 17h1'/%3E%3Cpath stroke='%231f6ff3' d='M12 17h1'/%3E%3Cpath stroke='%23196df4' d='M13 17h1'/%3E%3Cpath stroke='%23136af4' d='M14 17h1'/%3E%3Cpath stroke='%230760f3' d='M16 17h1'/%3E%3Cpath stroke='%23025af0' d='M17 17h1'/%3E%3Cpath stroke='%23004de2' d='M18 17h1'/%3E%3Cpath stroke='%23003ab9' d='M19 17h1'/%3E%3Cpath stroke='%23285edf' d='M1 18h1'/%3E%3Cpath stroke='%23134fdf' d='M2 18h1'/%3E%3Cpath stroke='%231b55df' d='M3 18h1'/%3E%3Cpath stroke='%23215ae2' d='M4 18h1'/%3E%3Cpath stroke='%23255ce1' d='M5 18h1'/%3E%3Cpath stroke='%23265de0' d='M6 18h1'/%3E%3Cpath stroke='%23245ce1' d='M7 18h1'/%3E%3Cpath stroke='%23235ee2' d='M8 18h1'/%3E%3Cpath stroke='%23215ee2' d='M9 18h1'/%3E%3Cpath stroke='%231e5ee2' d='M10 18h1'/%3E%3Cpath stroke='%231b5fe5' d='M11 18h1'/%3E%3Cpath stroke='%23165ee5' d='M12 18h1'/%3E%3Cpath stroke='%23135de6' d='M13 18h1'/%3E%3Cpath stroke='%230e5be5' d='M14 18h1'/%3E%3Cpath stroke='%230958e6' d='M15 18h1'/%3E%3Cpath stroke='%230454e6' d='M16 18h1'/%3E%3Cpath stroke='%23014ee2' d='M17 18h1'/%3E%3Cpath stroke='%230045d3' d='M18 18h1'/%3E%3Cpath stroke='%231f4eb8' d='M19 18h1'/%3E%3Cpath stroke='%23d0daf1' d='M1 19h1'/%3E%3Cpath stroke='%232856c3' d='M2 19h1'/%3E%3Cpath stroke='%230d3fb6' d='M3 19h1'/%3E%3Cpath stroke='%231144bd' d='M4 19h1'/%3E%3Cpath stroke='%231245bb' d='M5 19h1'/%3E%3Cpath stroke='%231445b9' d='M6 19h1'/%3E%3Cpath stroke='%231244b9' d='M7 19h1'/%3E%3Cpath stroke='%231345bc' d='M8 19h1'/%3E%3Cpath stroke='%231346bd' d='M9 19h1'/%3E%3Cpath stroke='%231045be' d='M10 19h1'/%3E%3Cpath stroke='%230d45c0' d='M11 19h1'/%3E%3Cpath stroke='%230a45c1' d='M12 19h1'/%3E%3Cpath stroke='%230844c3' d='M13 19h1'/%3E%3Cpath stroke='%23033fc0' d='M15 19h1'/%3E%3Cpath stroke='%23013fc3' d='M16 19h1'/%3E%3Cpath stroke='%23003bbe' d='M17 19h1'/%3E%3Cpath stroke='%231f4eb9' d='M18 19h1'/%3E%3Cpath stroke='%23cfd8ed' d='M19 19h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Help]: hover{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%2393b1ee' d='M1 0h1'/%3E%3Cpath stroke='%23f3f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m8 0h3m8 0h1M0 5h1m7 0h1m3 0h1m7 0h1M0 6h1m6 0h1m5 0h1m6 0h1M0 7h1m12 0h1m6 0h1M0 8h1m12 0h1m6 0h1M0 9h1m12 0h1m6 0h1M0 10h1m10 0h2m7 0h1M0 11h1m9 0h1m9 0h1M0 12h1m9 0h1m9 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m9 0h1m9 0h1M0 16h1m9 0h1m9 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%2393b1ed' d='M19 0h1M0 1h1'/%3E%3Cpath stroke='%23dce7ff' d='M1 1h1'/%3E%3Cpath stroke='%2372a1ff' d='M2 1h1m2 5h1'/%3E%3Cpath stroke='%236a9cff' d='M3 1h1'/%3E%3Cpath stroke='%235f94ff' d='M4 1h1M4 11h2'/%3E%3Cpath stroke='%23558eff' d='M5 1h1M3 12h1'/%3E%3Cpath stroke='%23518bff' d='M6 1h1'/%3E%3Cpath stroke='%234a86ff' d='M7 1h1'/%3E%3Cpath stroke='%234b87ff' d='M8 1h1M2 12h1'/%3E%3Cpath stroke='%234684ff' d='M9 1h2'/%3E%3Cpath stroke='%234482ff' d='M11 1h1m4 1h1M1 9h1m0 4h1'/%3E%3Cpath stroke='%234080ff' d='M12 1h1M3 15h1'/%3E%3Cpath stroke='%233b7cff' d='M13 1h1'/%3E%3Cpath stroke='%233a7bff' d='M14 1h1'/%3E%3Cpath stroke='%233678ff' d='M15 1h1'/%3E%3Cpath stroke='%232e73ff' d='M16 1h1'/%3E%3Cpath stroke='%23276cf9' d='M17 1h1'/%3E%3Cpath stroke='%233a73e7' d='M18 1h1'/%3E%3Cpath stroke='%23d3ddf3' d='M19 1h1'/%3E%3Cpath stroke='%2393b0ed' d='M20 1h1'/%3E%3Cpath stroke='%2373a1ff' d='M1 2h1'/%3E%3Cpath stroke='%2397b9ff' d='M2 2h1'/%3E%3Cpath stroke='%239cbdff' d='M3 2h1'/%3E%3Cpath stroke='%2390b5ff' d='M4 2h1'/%3E%3Cpath stroke='%2382acff' d='M5 2h1M5 4h1'/%3E%3Cpath stroke='%237ba7ff' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%2375a3ff' d='M7 2h1'/%3E%3Cpath stroke='%236f9fff' d='M8 2h1M3 8h1'/%3E%3Cpath stroke='%236c9dff' d='M9 2h1M1 3h1'/%3E%3Cpath stroke='%23689bff' d='M10 2h1M5 8h1M3 9h1'/%3E%3Cpath stroke='%236599ff' d='M11 2h1m0 1h1M5 9h1'/%3E%3Cpath stroke='%236095ff' d='M12 2h1m0 1h1'/%3E%3Cpath stroke='%235d93ff' d='M13 2h1'/%3E%3Cpath stroke='%23568eff' d='M14 2h1'/%3E%3Cpath stroke='%234f8aff' d='M15 2h1M3 13h1m0 1h1'/%3E%3Cpath stroke='%233878fb' d='M17 2h1'/%3E%3Cpath stroke='%232969eb' d='M18 2h1'/%3E%3Cpath stroke='%233566cb' d='M19 2h1'/%3E%3Cpath stroke='%239ebeff' d='M2 3h1'/%3E%3Cpath stroke='%23a4c2ff' d='M3 3h1'/%3E%3Cpath stroke='%2399baff' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%238ab0ff' d='M5 3h1'/%3E%3Cpath stroke='%2382abff' d='M6 3h1'/%3E%3Cpath stroke='%2379a6ff' d='M7 3h1'/%3E%3Cpath stroke='%2374a3ff' d='M8 3h1'/%3E%3Cpath stroke='%2371a0ff' d='M9 3h1'/%3E%3Cpath stroke='%236d9eff' d='M10 3h1M5 7h1M4 8h1'/%3E%3Cpath stroke='%23699bff' d='M11 3h1'/%3E%3Cpath stroke='%235a91ff' d='M14 3h1M2 10h1m1 2h1'/%3E%3Cpath stroke='%23538cff' d='M15 3h1M2 11h1'/%3E%3Cpath stroke='%234986ff' d='M16 3h1'/%3E%3Cpath stroke='%233d7cfc' d='M17 3h1'/%3E%3Cpath stroke='%232e6cea' d='M18 3h1'/%3E%3Cpath stroke='%231b52c2' d='M19 3h1'/%3E%3Cpath stroke='%236296ff' d='M1 4h1'/%3E%3Cpath stroke='%2391b5ff' d='M2 4h1'/%3E%3Cpath stroke='%238fb4ff' d='M4 4h1'/%3E%3Cpath stroke='%237aa6ff' d='M6 4h1m7 1h1'/%3E%3Cpath stroke='%239bbdff' d='M7 4h1'/%3E%3Cpath stroke='%23e3edff' d='M8 4h1'/%3E%3Cpath stroke='%23e1ebff' d='M12 4h1'/%3E%3Cpath stroke='%2387afff' d='M13 4h1'/%3E%3Cpath stroke='%234c88ff' d='M14 4h1m-5 2h1m-6 9h1'/%3E%3Cpath stroke='%234785ff' d='M15 4h1'/%3E%3Cpath stroke='%234280ff' d='M16 4h1'/%3E%3Cpath stroke='%233b7afb' d='M17 4h1'/%3E%3Cpath stroke='%23316fec' d='M18 4h1'/%3E%3Cpath stroke='%231f55c3' d='M19 4h1'/%3E%3Cpath stroke='%235990ff' d='M1 5h1'/%3E%3Cpath stroke='%2385adff' d='M2 5h1'/%3E%3Cpath stroke='%238bb1ff' d='M3 5h1'/%3E%3Cpath stroke='%2384acff' d='M4 5h1'/%3E%3Cpath stroke='%2378a5ff' d='M5 5h1'/%3E%3Cpath stroke='%239bf' d='M6 5h1'/%3E%3Cpath stroke='%23f4f7ff' d='M7 5h1'/%3E%3Cpath stroke='%23dbe7ff' d='M9 5h1'/%3E%3Cpath stroke='%23d2e1ff' d='M10 5h1'/%3E%3Cpath stroke='%23edf3ff' d='M11 5h1'/%3E%3Cpath stroke='%23f0f5ff' d='M13 5h1'/%3E%3Cpath stroke='%233b7bff' d='M15 5h1'/%3E%3Cpath stroke='%23397aff' d='M16 5h1M1 11h1'/%3E%3Cpath stroke='%233979fc' d='M17 5h1'/%3E%3Cpath stroke='%233370ec' d='M18 5h1m-1 1h1'/%3E%3Cpath stroke='%232357c3' d='M19 5h1'/%3E%3Cpath stroke='%23548dff' d='M1 6h1m2 7h1'/%3E%3Cpath stroke='%2381aaff' d='M3 6h1'/%3E%3Cpath stroke='%237aa7ff' d='M4 6h1'/%3E%3Cpath stroke='%23d8e5ff' d='M6 6h1'/%3E%3Cpath stroke='%23b9d0ff' d='M8 6h1'/%3E%3Cpath stroke='%23548eff' d='M9 6h1'/%3E%3Cpath stroke='%23538dff' d='M11 6h1'/%3E%3Cpath stroke='%23cbdcff' d='M12 6h1'/%3E%3Cpath stroke='%23c9dbff' d='M14 6h1'/%3E%3Cpath stroke='%233579ff' d='M15 6h1'/%3E%3Cpath stroke='%233679ff' d='M16 6h1'/%3E%3Cpath stroke='%233879fc' d='M17 6h1'/%3E%3Cpath stroke='%232358c5' d='M19 6h1'/%3E%3Cpath stroke='%234e89ff' d='M1 7h1'/%3E%3Cpath stroke='%2371a1ff' d='M2 7h1'/%3E%3Cpath stroke='%2377a5ff' d='M3 7h1'/%3E%3Cpath stroke='%2374a2ff' d='M4 7h1'/%3E%3Cpath stroke='%23e8f0ff' d='M6 7h1'/%3E%3Cpath stroke='%23e7efff' d='M7 7h1'/%3E%3Cpath stroke='%23679aff' d='M8 7h1'/%3E%3Cpath stroke='%23508dff' d='M9 7h1'/%3E%3Cpath stroke='%234989ff' d='M10 7h1'/%3E%3Cpath stroke='%234183ff' d='M11 7h1'/%3E%3Cpath stroke='%2374a5ff' d='M12 7h1'/%3E%3Cpath stroke='%23d1e1ff' d='M14 7h1'/%3E%3Cpath stroke='%23317aff' d='M15 7h1'/%3E%3Cpath stroke='%23337aff' d='M16 7h1'/%3E%3Cpath stroke='%23367bfc' d='M17 7h1'/%3E%3Cpath stroke='%233372ed' d='M18 7h1'/%3E%3Cpath stroke='%232359c5' d='M19 7h1'/%3E%3Cpath stroke='%234d88ff' d='M1 8h1'/%3E%3Cpath stroke='%23699cff' d='M2 8h1'/%3E%3Cpath stroke='%236398ff' d='M6 8h1'/%3E%3Cpath stroke='%235c93ff' d='M7 8h1m-2 3h1'/%3E%3Cpath stroke='%23548fff' d='M8 8h1'/%3E%3Cpath stroke='%234d8cff' d='M9 8h1'/%3E%3Cpath stroke='%23468aff' d='M10 8h1'/%3E%3Cpath stroke='%233f86ff' d='M11 8h1'/%3E%3Cpath stroke='%238cb7ff' d='M12 8h1'/%3E%3Cpath stroke='%23cde0ff' d='M14 8h1'/%3E%3Cpath stroke='%232f7fff' d='M15 8h1'/%3E%3Cpath stroke='%233280ff' d='M16 8h1'/%3E%3Cpath stroke='%233580fc' d='M17 8h1'/%3E%3Cpath stroke='%233276ed' d='M18 8h1'/%3E%3Cpath stroke='%23235ac6' d='M19 8h1'/%3E%3Cpath stroke='%236196ff' d='M2 9h1m3 0h1m-4 1h1'/%3E%3Cpath stroke='%23689aff' d='M4 9h1'/%3E%3Cpath stroke='%235b93ff' d='M7 9h1'/%3E%3Cpath stroke='%235491ff' d='M8 9h1'/%3E%3Cpath stroke='%234f90ff' d='M9 9h1'/%3E%3Cpath stroke='%234890ff' d='M10 9h1'/%3E%3Cpath stroke='%239dc5ff' d='M11 9h1'/%3E%3Cpath stroke='%23f3f8ff' d='M12 9h1'/%3E%3Cpath stroke='%239ac5ff' d='M14 9h1'/%3E%3Cpath stroke='%232f88ff' d='M15 9h1'/%3E%3Cpath stroke='%233188ff' d='M16 9h1'/%3E%3Cpath stroke='%233385fc' d='M17 9h1'/%3E%3Cpath stroke='%233079ed' d='M18 9h1'/%3E%3Cpath stroke='%23215cc8' d='M19 9h1'/%3E%3Cpath stroke='%233f7fff' d='M1 10h1'/%3E%3Cpath stroke='%236397ff' d='M4 10h1'/%3E%3Cpath stroke='%236297ff' d='M5 10h1'/%3E%3Cpath stroke='%235f95ff' d='M6 10h1'/%3E%3Cpath stroke='%235993ff' d='M7 10h1'/%3E%3Cpath stroke='%235492ff' d='M8 10h1'/%3E%3Cpath stroke='%235c9aff' d='M9 10h1'/%3E%3Cpath stroke='%23cee2ff' d='M10 10h1'/%3E%3Cpath stroke='%23a7d0ff' d='M13 10h1'/%3E%3Cpath stroke='%233897ff' d='M14 10h1'/%3E%3Cpath stroke='%232f92ff' d='M15 10h1'/%3E%3Cpath stroke='%233090ff' d='M16 10h1'/%3E%3Cpath stroke='%23328cfc' d='M17 10h1'/%3E%3Cpath stroke='%232e7def' d='M18 10h1'/%3E%3Cpath stroke='%231e5dc9' d='M19 10h1'/%3E%3Cpath stroke='%235c92ff' d='M3 11h1m1 1h1'/%3E%3Cpath stroke='%235792ff' d='M7 11h1m-1 1h1'/%3E%3Cpath stroke='%235594ff' d='M8 11h1'/%3E%3Cpath stroke='%23c2dbff' d='M9 11h1'/%3E%3Cpath stroke='%23e0efff' d='M11 11h1'/%3E%3Cpath stroke='%236eb6ff' d='M12 11h1'/%3E%3Cpath stroke='%23379fff' d='M13 11h1'/%3E%3Cpath stroke='%23339dff' d='M14 11h1'/%3E%3Cpath stroke='%232f9bff' d='M15 11h1'/%3E%3Cpath stroke='%232e97ff' d='M16 11h1'/%3E%3Cpath stroke='%232e91fc' d='M17 11h1'/%3E%3Cpath stroke='%232a80f0' d='M18 11h1'/%3E%3Cpath stroke='%231b5dcb' d='M19 11h1'/%3E%3Cpath stroke='%233275ff' d='M1 12h1'/%3E%3Cpath stroke='%235991ff' d='M6 12h1'/%3E%3Cpath stroke='%235596ff' d='M8 12h1'/%3E%3Cpath stroke='%23e2eeff' d='M9 12h1'/%3E%3Cpath stroke='%2359adff' d='M11 12h1'/%3E%3Cpath stroke='%2342a9ff' d='M12 12h1'/%3E%3Cpath stroke='%233aa9ff' d='M13 12h1'/%3E%3Cpath stroke='%2334a7ff' d='M14 12h1'/%3E%3Cpath stroke='%2330a5ff' d='M15 12h1'/%3E%3Cpath stroke='%232ca0ff' d='M16 12h1'/%3E%3Cpath stroke='%232a96fd' d='M17 12h1'/%3E%3Cpath stroke='%232581f1' d='M18 12h1'/%3E%3Cpath stroke='%23185dcc' d='M19 12h1'/%3E%3Cpath stroke='%232d72ff' d='M1 13h1m0 3h1'/%3E%3Cpath stroke='%235790ff' d='M5 13h2'/%3E%3Cpath stroke='%235490ff' d='M7 13h1'/%3E%3Cpath stroke='%235597ff' d='M8 13h1'/%3E%3Cpath stroke='%23d6e8ff' d='M9 13h1'/%3E%3Cpath stroke='%23eef6ff' d='M10 13h1'/%3E%3Cpath stroke='%234aaaff' d='M11 13h1'/%3E%3Cpath stroke='%2344afff' d='M12 13h1'/%3E%3Cpath stroke='%233eb1ff' d='M13 13h1'/%3E%3Cpath stroke='%2337afff' d='M14 13h1'/%3E%3Cpath stroke='%232fabff' d='M15 13h1'/%3E%3Cpath stroke='%2329a4ff' d='M16 13h1'/%3E%3Cpath stroke='%232599fd' d='M17 13h1'/%3E%3Cpath stroke='%231e80f2' d='M18 13h1'/%3E%3Cpath stroke='%23145bcd' d='M19 13h1'/%3E%3Cpath stroke='%23276eff' d='M1 14h1'/%3E%3Cpath stroke='%233d7dff' d='M2 14h1'/%3E%3Cpath stroke='%234985ff' d='M3 14h1'/%3E%3Cpath stroke='%23528cff' d='M5 14h1'/%3E%3Cpath stroke='%23528dff' d='M6 14h1'/%3E%3Cpath stroke='%23518fff' d='M7 14h1'/%3E%3Cpath stroke='%235196ff' d='M8 14h1'/%3E%3Cpath stroke='%23509fff' d='M9 14h1'/%3E%3Cpath stroke='%234ea6ff' d='M10 14h1'/%3E%3Cpath stroke='%2349acff' d='M11 14h1'/%3E%3Cpath stroke='%2343b1ff' d='M12 14h1'/%3E%3Cpath stroke='%233eb4ff' d='M13 14h1'/%3E%3Cpath stroke='%2335b2ff' d='M14 14h1'/%3E%3Cpath stroke='%232caeff' d='M15 14h1'/%3E%3Cpath stroke='%2324a5ff' d='M16 14h1'/%3E%3Cpath stroke='%231f97fd' d='M17 14h1'/%3E%3Cpath stroke='%231980f3' d='M18 14h1'/%3E%3Cpath stroke='%23105ace' d='M19 14h1'/%3E%3Cpath stroke='%23216aff' d='M1 15h1'/%3E%3Cpath stroke='%233578ff' d='M2 15h1'/%3E%3Cpath stroke='%234885ff' d='M4 15h1'/%3E%3Cpath stroke='%234d89ff' d='M6 15h1'/%3E%3Cpath stroke='%234c8cff' d='M7 15h1'/%3E%3Cpath stroke='%234d94ff' d='M8 15h1'/%3E%3Cpath stroke='%23cfe4ff' d='M9 15h1'/%3E%3Cpath stroke='%2347aaff' d='M11 15h1'/%3E%3Cpath stroke='%2341afff' d='M12 15h1'/%3E%3Cpath stroke='%233bb2ff' d='M13 15h1'/%3E%3Cpath stroke='%2333b1ff' d='M14 15h1'/%3E%3Cpath stroke='%232aadff' d='M15 15h1'/%3E%3Cpath stroke='%2321a3ff' d='M16 15h1'/%3E%3Cpath stroke='%231a95fd' d='M17 15h1'/%3E%3Cpath stroke='%23137cf2' d='M18 15h1'/%3E%3Cpath stroke='%230c59cf' d='M19 15h1'/%3E%3Cpath stroke='%231c66ff' d='M1 16h1'/%3E%3Cpath stroke='%233879ff' d='M3 16h1'/%3E%3Cpath stroke='%233f7eff' d='M4 16h1'/%3E%3Cpath stroke='%234483ff' d='M5 16h1'/%3E%3Cpath stroke='%234584ff' d='M6 16h1'/%3E%3Cpath stroke='%234587ff' d='M7 16h1'/%3E%3Cpath stroke='%23468eff' d='M8 16h1'/%3E%3Cpath stroke='%23f6faff' d='M9 16h1'/%3E%3Cpath stroke='%233fa3ff' d='M11 16h1'/%3E%3Cpath stroke='%233ba8ff' d='M12 16h1'/%3E%3Cpath stroke='%233af' d='M13 16h1'/%3E%3Cpath stroke='%232da9ff' d='M14 16h1'/%3E%3Cpath stroke='%2324a6ff' d='M15 16h1'/%3E%3Cpath stroke='%231d9eff' d='M16 16h1'/%3E%3Cpath stroke='%231690fd' d='M17 16h1'/%3E%3Cpath stroke='%231078f1' d='M18 16h1'/%3E%3Cpath stroke='%230b57ce' d='M19 16h1'/%3E%3Cpath stroke='%231761f9' d='M1 17h1'/%3E%3Cpath stroke='%23246bfa' d='M2 17h1'/%3E%3Cpath stroke='%232f72fb' d='M3 17h1'/%3E%3Cpath stroke='%233676fb' d='M4 17h1'/%3E%3Cpath stroke='%233a7afb' d='M5 17h1'/%3E%3Cpath stroke='%233b7bfc' d='M6 17h1'/%3E%3Cpath stroke='%233b7efc' d='M7 17h1'/%3E%3Cpath stroke='%233c84fc' d='M8 17h1'/%3E%3Cpath stroke='%233b8afc' d='M9 17h1'/%3E%3Cpath stroke='%233990fc' d='M10 17h1'/%3E%3Cpath stroke='%233695fc' d='M11 17h1'/%3E%3Cpath stroke='%233299fc' d='M12 17h1'/%3E%3Cpath stroke='%232c9cfd' d='M13 17h1'/%3E%3Cpath stroke='%23259bfd' d='M14 17h1'/%3E%3Cpath stroke='%231e97fd' d='M15 17h1'/%3E%3Cpath stroke='%231790fc' d='M16 17h1'/%3E%3Cpath stroke='%231184fa' d='M17 17h1'/%3E%3Cpath stroke='%230c6ded' d='M18 17h1'/%3E%3Cpath stroke='%230850c8' d='M19 17h1'/%3E%3Cpath stroke='%232f6ae4' d='M1 18h1'/%3E%3Cpath stroke='%231b5fe9' d='M2 18h1'/%3E%3Cpath stroke='%232163e8' d='M3 18h1'/%3E%3Cpath stroke='%232868eb' d='M4 18h1'/%3E%3Cpath stroke='%232c6aea' d='M5 18h1'/%3E%3Cpath stroke='%232e6dea' d='M6 18h1'/%3E%3Cpath stroke='%232d6deb' d='M7 18h1'/%3E%3Cpath stroke='%232c71ec' d='M8 18h1'/%3E%3Cpath stroke='%232c76ec' d='M9 18h1'/%3E%3Cpath stroke='%232a79ed' d='M10 18h1'/%3E%3Cpath stroke='%23287eef' d='M11 18h1'/%3E%3Cpath stroke='%232481f1' d='M12 18h1'/%3E%3Cpath stroke='%232182f1' d='M13 18h1'/%3E%3Cpath stroke='%231c80f1' d='M14 18h1'/%3E%3Cpath stroke='%231880f3' d='M15 18h1'/%3E%3Cpath stroke='%23117af2' d='M16 18h1'/%3E%3Cpath stroke='%230c6eed' d='M17 18h1'/%3E%3Cpath stroke='%230a5ddd' d='M18 18h1'/%3E%3Cpath stroke='%23265dc1' d='M19 18h1'/%3E%3Cpath stroke='%2393b4f2' d='M0 19h1'/%3E%3Cpath stroke='%23d1ddf4' d='M1 19h1'/%3E%3Cpath stroke='%232e61ca' d='M2 19h1'/%3E%3Cpath stroke='%23134bbf' d='M3 19h1'/%3E%3Cpath stroke='%23164fc2' d='M4 19h1'/%3E%3Cpath stroke='%231950c1' d='M5 19h1'/%3E%3Cpath stroke='%231b52c1' d='M6 19h1'/%3E%3Cpath stroke='%231a52c3' d='M7 19h1'/%3E%3Cpath stroke='%231954c6' d='M8 19h1'/%3E%3Cpath stroke='%231b58c9' d='M9 19h1'/%3E%3Cpath stroke='%231858c8' d='M10 19h1'/%3E%3Cpath stroke='%23165bcd' d='M11 19h1'/%3E%3Cpath stroke='%23145cd0' d='M12 19h1'/%3E%3Cpath stroke='%23135cd0' d='M13 19h1'/%3E%3Cpath stroke='%230f58cc' d='M14 19h1'/%3E%3Cpath stroke='%230d5ad2' d='M15 19h1'/%3E%3Cpath stroke='%230b58d1' d='M16 19h1'/%3E%3Cpath stroke='%230951cb' d='M17 19h1'/%3E%3Cpath stroke='%23265ec3' d='M18 19h1'/%3E%3Cpath stroke='%23d0daee' d='M19 19h1'/%3E%3Cpath stroke='%2393b3f2' d='M20 19h1M1 20h1'/%3E%3Cpath stroke='%2393b2f1' d='M19 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Help]: not(: disabled): active{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a7bdef' d='M1 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m15 0h1M0 2h1m19 0h1M0 18h1m19 0h1M2 20h1m15 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m19 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h1m5 0h9'/%3E%3Cpath stroke='%23a7bdee' d='M19 0h1M0 1h1'/%3E%3Cpath stroke='%23cfd3da' d='M1 1h1'/%3E%3Cpath stroke='%231f3b5f' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23002453' d='M3 1h1M1 4h1'/%3E%3Cpath stroke='%23002557' d='M4 1h1'/%3E%3Cpath stroke='%23002658' d='M5 1h1'/%3E%3Cpath stroke='%2300285c' d='M6 1h1'/%3E%3Cpath stroke='%23002a61' d='M7 1h1'/%3E%3Cpath stroke='%23002d67' d='M8 1h1'/%3E%3Cpath stroke='%23002f6b' d='M9 1h1'/%3E%3Cpath stroke='%23002f6c' d='M10 1h1M1 10h1'/%3E%3Cpath stroke='%23003273' d='M11 1h1'/%3E%3Cpath stroke='%23003478' d='M12 1h1M5 2h1'/%3E%3Cpath stroke='%2300357b' d='M13 1h1M2 5h1m-2 8h1'/%3E%3Cpath stroke='%2300377f' d='M14 1h1M6 2h1'/%3E%3Cpath stroke='%23003780' d='M15 1h1'/%3E%3Cpath stroke='%23003984' d='M16 1h1'/%3E%3Cpath stroke='%23003882' d='M17 1h1M3 3h1'/%3E%3Cpath stroke='%231f5295' d='M18 1h1'/%3E%3Cpath stroke='%23cfdae9' d='M19 1h1'/%3E%3Cpath stroke='%23a7bcee' d='M20 1h1'/%3E%3Cpath stroke='%23002a62' d='M2 2h1'/%3E%3Cpath stroke='%23003070' d='M3 2h1'/%3E%3Cpath stroke='%23003275' d='M4 2h1'/%3E%3Cpath stroke='%23003883' d='M7 2h1M1 17h1'/%3E%3Cpath stroke='%23003a88' d='M8 2h1'/%3E%3Cpath stroke='%23003d8f' d='M9 2h1M2 9h1'/%3E%3Cpath stroke='%23003e90' d='M10 2h1'/%3E%3Cpath stroke='%23004094' d='M11 2h1'/%3E%3Cpath stroke='%23004299' d='M12 2h1M2 12h1'/%3E%3Cpath stroke='%2300439b' d='M13 2h1'/%3E%3Cpath stroke='%2300449e' d='M14 2h1M2 14h1'/%3E%3Cpath stroke='%2300459f' d='M15 2h1'/%3E%3Cpath stroke='%230045a1' d='M16 2h1m1 0h1M2 17h1'/%3E%3Cpath stroke='%230045a0' d='M17 2h1M2 15h1'/%3E%3Cpath stroke='%231f5aa8' d='M19 2h1'/%3E%3Cpath stroke='%23002452' d='M1 3h1'/%3E%3Cpath stroke='%23003170' d='M2 3h1'/%3E%3Cpath stroke='%23003b8b' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23003c8f' d='M5 3h1'/%3E%3Cpath stroke='%23003e94' d='M6 3h1'/%3E%3Cpath stroke='%23004099' d='M7 3h1'/%3E%3Cpath stroke='%2300429d' d='M8 3h1'/%3E%3Cpath stroke='%230044a2' d='M9 3h1'/%3E%3Cpath stroke='%230046a5' d='M10 3h1'/%3E%3Cpath stroke='%230048a8' d='M11 3h1'/%3E%3Cpath stroke='%230049ab' d='M12 3h1'/%3E%3Cpath stroke='%23004aac' d='M13 3h1'/%3E%3Cpath stroke='%23004aad' d='M14 3h1'/%3E%3Cpath stroke='%23004bae' d='M15 3h2m1 0h1M3 14h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23004baf' d='M17 3h1M7 10h1m-5 7h1m-1 1h1'/%3E%3Cpath stroke='%23004bad' d='M19 3h1M3 13h1m-1 6h1'/%3E%3Cpath stroke='%23037' d='M2 4h1m-2 8h1'/%3E%3Cpath stroke='%23003d92' d='M4 4h1'/%3E%3Cpath stroke='%23003f97' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%2300419d' d='M6 4h1M4 6h1'/%3E%3Cpath stroke='%230a4aa5' d='M7 4h1'/%3E%3Cpath stroke='%234e7ec0' d='M8 4h1'/%3E%3Cpath stroke='%23789ed1' d='M9 4h1'/%3E%3Cpath stroke='%23789ed3' d='M10 4h1'/%3E%3Cpath stroke='%23789fd4' d='M11 4h1m0 1h1'/%3E%3Cpath stroke='%235184c7' d='M12 4h1'/%3E%3Cpath stroke='%230b54b3' d='M13 4h1m0 1h1'/%3E%3Cpath stroke='%23004db1' d='M14 4h3m-2 1h2m-2 1h2M7 12h1m-2 1h1m-3 1h3m-3 1h2m-2 1h2'/%3E%3Cpath stroke='%23004db2' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1m-9 1h1m-4 3h1m-5 6h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%23002555' d='M1 5h1'/%3E%3Cpath stroke='%23003d90' d='M3 5h1'/%3E%3Cpath stroke='%2300409c' d='M5 5h1'/%3E%3Cpath stroke='%230949a4' d='M6 5h1'/%3E%3Cpath stroke='%23668ec8' d='M7 5h1'/%3E%3Cpath stroke='%23789dd1' d='M8 5h1M7 6h1'/%3E%3Cpath stroke='%23497cc1' d='M9 5h1'/%3E%3Cpath stroke='%234178c0' d='M10 5h1'/%3E%3Cpath stroke='%23608dcb' d='M11 5h1'/%3E%3Cpath stroke='%236693cf' d='M13 5h1'/%3E%3Cpath stroke='%2300275a' d='M1 6h1'/%3E%3Cpath stroke='%23003781' d='M2 6h1m-2 9h1'/%3E%3Cpath stroke='%23003f95' d='M3 6h1'/%3E%3Cpath stroke='%230042a1' d='M5 6h1'/%3E%3Cpath stroke='%234073bb' d='M6 6h1'/%3E%3Cpath stroke='%232661b6' d='M8 6h1'/%3E%3Cpath stroke='%230047ac' d='M9 6h1'/%3E%3Cpath stroke='%230049ad' d='M10 6h1m-6 5h1'/%3E%3Cpath stroke='%23004aae' d='M11 6h1m-6 5h1m-3 1h2'/%3E%3Cpath stroke='%234077c4' d='M12 6h1'/%3E%3Cpath stroke='%2378a1d6' d='M13 6h1'/%3E%3Cpath stroke='%234079c4' d='M14 6h1'/%3E%3Cpath stroke='%23004eb3' d='M17 6h1m0 1h1m0 1h1M10 9h1m-2 1h1m-3 6h1m-2 1h2m0 2h1'/%3E%3Cpath stroke='%2300295f' d='M1 7h1'/%3E%3Cpath stroke='%23003985' d='M2 7h1'/%3E%3Cpath stroke='%2300419b' d='M3 7h1'/%3E%3Cpath stroke='%230043a2' d='M4 7h1'/%3E%3Cpath stroke='%230044a6' d='M5 7h1'/%3E%3Cpath stroke='%235684c6' d='M6 7h1'/%3E%3Cpath stroke='%235686c8' d='M7 7h1'/%3E%3Cpath stroke='%230049ac' d='M8 7h1m-4 3h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%230049ae' d='M9 7h1M7 8h2m-3 2h1'/%3E%3Cpath stroke='%23004aaf' d='M10 7h1M9 8h1M7 9h1'/%3E%3Cpath stroke='%23004cb1' d='M11 7h1m-2 1h1M9 9h1m-2 1h1'/%3E%3Cpath stroke='%230a53b5' d='M12 7h1'/%3E%3Cpath stroke='%2378a1d7' d='M13 7h1'/%3E%3Cpath stroke='%234881c8' d='M14 7h1'/%3E%3Cpath stroke='%23004fb4' d='M15 7h3m0 1h1m0 1h1M8 12h1m-2 3h1m0 3h1m0 1h1'/%3E%3Cpath stroke='%23002b63' d='M1 8h1'/%3E%3Cpath stroke='%23003b8a' d='M2 8h1'/%3E%3Cpath stroke='%2300439f' d='M3 8h1'/%3E%3Cpath stroke='%230045a5' d='M4 8h1'/%3E%3Cpath stroke='%230046a8' d='M5 8h1'/%3E%3Cpath stroke='%230047ab' d='M6 8h1M5 9h1'/%3E%3Cpath stroke='%23145db9' d='M12 8h1'/%3E%3Cpath stroke='%2378a2d8' d='M13 8h1'/%3E%3Cpath stroke='%23457fc8' d='M14 8h1'/%3E%3Cpath stroke='%230051b6' d='M15 8h1m2 1h1m0 2h1m-1 1h1M8 14h1m-1 1h1m10 2h1M9 18h1m1 1h1'/%3E%3Cpath stroke='%230050b5' d='M16 8h2m1 2h1M8 13h1m-1 3h1m-1 1h1m1 2h1'/%3E%3Cpath stroke='%23002d68' d='M1 9h1'/%3E%3Cpath stroke='%230045a3' d='M3 9h1'/%3E%3Cpath stroke='%230047a8' d='M4 9h1'/%3E%3Cpath stroke='%230048ad' d='M6 9h1'/%3E%3Cpath stroke='%23004bb0' d='M8 9h1m-3 3h1m-2 1h1'/%3E%3Cpath stroke='%231b62bd' d='M11 9h1'/%3E%3Cpath stroke='%236899d4' d='M12 9h1'/%3E%3Cpath stroke='%2378a4d9' d='M13 9h1'/%3E%3Cpath stroke='%231f68c1' d='M14 9h1'/%3E%3Cpath stroke='%230054b9' d='M15 9h1m-7 5h1m8 4h1m-4 1h1'/%3E%3Cpath stroke='%230053b8' d='M16 9h2m0 1h1m0 4h1m-1 2h1M9 17h1m0 1h1m3 1h1m1 0h1'/%3E%3Cpath stroke='%23003f93' d='M2 10h1'/%3E%3Cpath stroke='%230047a7' d='M3 10h1'/%3E%3Cpath stroke='%230048ab' d='M4 10h1'/%3E%3Cpath stroke='%23407cc7' d='M10 10h1'/%3E%3Cpath stroke='%2378a3d9' d='M11 10h1m-2 1h1'/%3E%3Cpath stroke='%2378a5da' d='M12 10h1m-3 2h1'/%3E%3Cpath stroke='%23256ec4' d='M13 10h1'/%3E%3Cpath stroke='%230057bb' d='M14 10h1'/%3E%3Cpath stroke='%230057bc' d='M15 10h1m-5 2h1m-2 2h1m7 3h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%230056bb' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%230055ba' d='M17 10h1m0 1h1m-9 6h1m0 1h1'/%3E%3Cpath stroke='%23003172' d='M1 11h1'/%3E%3Cpath stroke='%23004095' d='M2 11h1'/%3E%3Cpath stroke='%230048aa' d='M3 11h1'/%3E%3Cpath stroke='%23004cb0' d='M7 11h1m-4 2h1'/%3E%3Cpath stroke='%233272c4' d='M9 11h1'/%3E%3Cpath stroke='%23538cd0' d='M11 11h1'/%3E%3Cpath stroke='%23065cbf' d='M12 11h1'/%3E%3Cpath stroke='%230059be' d='M13 11h1m2 0h1m-6 2h1m-1 3h1m6 0h1m-5 2h1m1 0h1'/%3E%3Cpath stroke='%23005abf' d='M14 11h2m-4 1h1m4 0h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%230058bd' d='M17 11h1m0 2h1m-6 5h1'/%3E%3Cpath stroke='%23538ace' d='M9 12h1'/%3E%3Cpath stroke='%23005cc1' d='M13 12h1m2 0h1m-5 1h1m4 0h1m-5 4h1'/%3E%3Cpath stroke='%23005dc2' d='M14 12h1m-3 2h1m4 0h1m-6 1h1m4 1h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%23005ec3' d='M15 12h1m-3 1h1m2 0h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%2300449d' d='M2 13h1'/%3E%3Cpath stroke='%23004eb2' d='M7 13h1m-2 2h1m-1 1h1'/%3E%3Cpath stroke='%234581cb' d='M9 13h1'/%3E%3Cpath stroke='%236297d5' d='M10 13h1'/%3E%3Cpath stroke='%23005fc4' d='M14 13h1m-2 1h1m2 0h1m-4 1h1'/%3E%3Cpath stroke='%230060c5' d='M15 13h1m-2 1h1m1 1h1m-2 1h1'/%3E%3Cpath stroke='%230052b7' d='M19 13h1m-8 6h2m3 0h1'/%3E%3Cpath stroke='%2300367e' d='M1 14h1'/%3E%3Cpath stroke='%23004fb3' d='M7 14h1'/%3E%3Cpath stroke='%230061c6' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%230059bd' d='M18 14h1'/%3E%3Cpath stroke='%23407fca' d='M9 15h1'/%3E%3Cpath stroke='%2378a6dc' d='M10 15h1'/%3E%3Cpath stroke='%230062c6' d='M15 15h1'/%3E%3Cpath stroke='%23005abe' d='M18 15h1'/%3E%3Cpath stroke='%230054b8' d='M19 15h1'/%3E%3Cpath stroke='%23003881' d='M1 16h1'/%3E%3Cpath stroke='%230046a1' d='M2 16h1'/%3E%3Cpath stroke='%236c9bd5' d='M9 16h1'/%3E%3Cpath stroke='%2378a6db' d='M10 16h1'/%3E%3Cpath stroke='%23005cc0' d='M12 16h1'/%3E%3Cpath stroke='%23005fc3' d='M14 16h1'/%3E%3Cpath stroke='%230060c4' d='M16 16h1'/%3E%3Cpath stroke='%230058bc' d='M11 17h1'/%3E%3Cpath stroke='%23005bc0' d='M17 17h1'/%3E%3Cpath stroke='%231f5294' d='M1 18h1'/%3E%3Cpath stroke='%230046a2' d='M2 18h1'/%3E%3Cpath stroke='%231f66be' d='M19 18h1'/%3E%3Cpath stroke='%23a7bef0' d='M0 19h1m19 0h1M1 20h1'/%3E%3Cpath stroke='%23cfdae8' d='M1 19h1'/%3E%3Cpath stroke='%231f5ba9' d='M2 19h1'/%3E%3Cpath stroke='%231f66bf' d='M18 19h1'/%3E%3Cpath stroke='%23cfdef1' d='M19 19h1'/%3E%3Cpath stroke='%23fefefe' d='M4 20h1m3 0h1'/%3E%3Cpath stroke='%23fdfdfd' d='M5 20h1m1 0h1'/%3E%3Cpath stroke='%23fcfcfc' d='M6 20h1'/%3E%3Cpath stroke='%23a7bdf0' d='M19 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Close]{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23b3c4ef' d='M1 0h1m17 0h1M0 1h1m19 0h1M0 19h1m19 0h1M1 20h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h16M0 2h1M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m5 0h1m7 0h1m5 0h1M0 6h1m4 0h3m5 0h3m4 0h1M0 7h1m5 0h3m3 0h3m5 0h1M0 8h1m6 0h3m1 0h3m6 0h1M0 9h1m7 0h5m7 0h1M0 10h1m8 0h3m8 0h1M0 11h1m7 0h5m7 0h1M0 12h1m6 0h3m1 0h2m7 0h1M0 13h1m5 0h3m3 0h3m5 0h1M0 14h1m4 0h3m5 0h3m4 0h1M0 15h1m5 0h1m7 0h1m5 0h1M0 16h1m19 0h1M0 17h1m19 0h1m-1 1h1M2 20h16'/%3E%3Cpath stroke='%23fae1dc' d='M1 1h1'/%3E%3Cpath stroke='%23eb8b73' d='M2 1h1'/%3E%3Cpath stroke='%23e97b60' d='M3 1h1'/%3E%3Cpath stroke='%23e77155' d='M4 1h1'/%3E%3Cpath stroke='%23e66a4d' d='M5 1h1M1 6h1m5 4h1'/%3E%3Cpath stroke='%23e56648' d='M6 1h1'/%3E%3Cpath stroke='%23e46142' d='M7 1h1'/%3E%3Cpath stroke='%23e46344' d='M8 1h1m5 3h1M2 12h1'/%3E%3Cpath stroke='%23e45f3e' d='M9 1h2'/%3E%3Cpath stroke='%23e35c3b' d='M11 1h2'/%3E%3Cpath stroke='%23e25633' d='M13 1h2'/%3E%3Cpath stroke='%23e25330' d='M15 1h1'/%3E%3Cpath stroke='%23e04d28' d='M16 1h1'/%3E%3Cpath stroke='%23dc451f' d='M17 1h1'/%3E%3Cpath stroke='%23d05334' d='M18 1h1'/%3E%3Cpath stroke='%23efd8d2' d='M19 1h1'/%3E%3Cpath stroke='%23ec8d76' d='M1 2h1'/%3E%3Cpath stroke='%23efa390' d='M2 2h1'/%3E%3Cpath stroke='%23f0a694' d='M3 2h1'/%3E%3Cpath stroke='%23ee9a85' d='M4 2h1'/%3E%3Cpath stroke='%23eb8d75' d='M5 2h1'/%3E%3Cpath stroke='%23ea876e' d='M6 2h1'/%3E%3Cpath stroke='%23ea8168' d='M7 2h1'/%3E%3Cpath stroke='%23e97f66' d='M8 2h1'/%3E%3Cpath stroke='%23e97c62' d='M9 2h1m0 1h1'/%3E%3Cpath stroke='%23e8795f' d='M10 2h1'/%3E%3Cpath stroke='%23e8795e' d='M11 2h1'/%3E%3Cpath stroke='%23e87559' d='M12 2h1'/%3E%3Cpath stroke='%23e77256' d='M13 2h1'/%3E%3Cpath stroke='%23e66e50' d='M14 2h1'/%3E%3Cpath stroke='%23e56849' d='M15 2h1'/%3E%3Cpath stroke='%23e4603f' d='M16 2h1m-2 2h1'/%3E%3Cpath stroke='%23e05532' d='M17 2h1'/%3E%3Cpath stroke='%23d04623' d='M18 2h1'/%3E%3Cpath stroke='%23b64b30' d='M19 2h1'/%3E%3Cpath stroke='%23e97f65' d='M1 3h1'/%3E%3Cpath stroke='%23f0a997' d='M2 3h1'/%3E%3Cpath stroke='%23f1ac9a' d='M3 3h1'/%3E%3Cpath stroke='%23ee9d89' d='M4 3h1M2 4h1'/%3E%3Cpath stroke='%23ec917a' d='M5 3h1'/%3E%3Cpath stroke='%23eb8b72' d='M6 3h1'/%3E%3Cpath stroke='%23ea856d' d='M7 3h1'/%3E%3Cpath stroke='%23e98168' d='M8 3h1M2 7h1'/%3E%3Cpath stroke='%23e87e65' d='M9 3h1'/%3E%3Cpath stroke='%23e97b61' d='M11 3h1'/%3E%3Cpath stroke='%23e8775d' d='M12 3h1M3 9h1'/%3E%3Cpath stroke='%23e87459' d='M13 3h1M2 9h1'/%3E%3Cpath stroke='%23e66f52' d='M14 3h1'/%3E%3Cpath stroke='%23e56a4c' d='M15 3h1'/%3E%3Cpath stroke='%23e46343' d='M16 3h1'/%3E%3Cpath stroke='%23e15937' d='M17 3h1'/%3E%3Cpath stroke='%23d24a28' d='M18 3h1'/%3E%3Cpath stroke='%23aa3315' d='M19 3h1'/%3E%3Cpath stroke='%23e87458' d='M1 4h1'/%3E%3Cpath stroke='%23efa18d' d='M3 4h1'/%3E%3Cpath stroke='%23ed957f' d='M4 4h1'/%3E%3Cpath stroke='%23eb8a71' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%23ea836a' d='M6 4h1M4 6h1M3 7h1'/%3E%3Cpath stroke='%23e97d64' d='M7 4h1'/%3E%3Cpath stroke='%23e8785e' d='M8 4h1'/%3E%3Cpath stroke='%23e77359' d='M9 4h1'/%3E%3Cpath stroke='%23e76f54' d='M10 4h1'/%3E%3Cpath stroke='%23e66d51' d='M11 4h1'/%3E%3Cpath stroke='%23e5684b' d='M12 4h1'/%3E%3Cpath stroke='%23e5684a' d='M13 4h1'/%3E%3Cpath stroke='%23e35c3a' d='M16 4h1m-7 4h1m-8 7h1'/%3E%3Cpath stroke='%23e05634' d='M17 4h1'/%3E%3Cpath stroke='%23d24c2a' d='M18 4h1'/%3E%3Cpath stroke='%23ac3618' d='M19 4h1'/%3E%3Cpath stroke='%23e76f52' d='M1 5h1m4 6h1m-3 1h1'/%3E%3Cpath stroke='%23ec9179' d='M2 5h1'/%3E%3Cpath stroke='%23ec937c' d='M3 5h1'/%3E%3Cpath stroke='%23f7ccc2' d='M5 5h1'/%3E%3Cpath stroke='%23e77259' d='M7 5h1M5 9h1'/%3E%3Cpath stroke='%23e76d53' d='M8 5h1'/%3E%3Cpath stroke='%23e5684d' d='M9 5h1M8 6h1'/%3E%3Cpath stroke='%23e46446' d='M10 5h1'/%3E%3Cpath stroke='%23e45f41' d='M11 5h1'/%3E%3Cpath stroke='%23e35b3a' d='M12 5h1m-2 1h1'/%3E%3Cpath stroke='%23e35938' d='M13 5h1'/%3E%3Cpath stroke='%23f3bbad' d='M15 5h1'/%3E%3Cpath stroke='%23e25531' d='M16 5h1'/%3E%3Cpath stroke='%23df5330' d='M17 5h1'/%3E%3Cpath stroke='%23d34e2c' d='M18 5h1'/%3E%3Cpath stroke='%23ad3a1d' d='M19 5h1m-1 1h1'/%3E%3Cpath stroke='%23eb876e' d='M2 6h1'/%3E%3Cpath stroke='%23eb8a70' d='M3 6h1'/%3E%3Cpath stroke='%23e46447' d='M9 6h1'/%3E%3Cpath stroke='%23e45f40' d='M10 6h1'/%3E%3Cpath stroke='%23e25634' d='M12 6h1'/%3E%3Cpath stroke='%23e2522d' d='M16 6h1'/%3E%3Cpath stroke='%23df522e' d='M17 6h1'/%3E%3Cpath stroke='%23d34d2c' d='M18 6h1'/%3E%3Cpath stroke='%23e56546' d='M1 7h1M1 8h1'/%3E%3Cpath stroke='%23e97e65' d='M4 7h1'/%3E%3Cpath stroke='%23e8775e' d='M5 7h1'/%3E%3Cpath stroke='%23e46143' d='M9 7h1'/%3E%3Cpath stroke='%23e45d3d' d='M10 7h1'/%3E%3Cpath stroke='%23e35836' d='M11 7h1'/%3E%3Cpath stroke='%23e24e27' d='M15 7h1'/%3E%3Cpath stroke='%23e2502a' d='M16 7h1'/%3E%3Cpath stroke='%23e0512c' d='M17 7h1'/%3E%3Cpath stroke='%23d34d2a' d='M18 7h1'/%3E%3Cpath stroke='%23ad391c' d='M19 7h1'/%3E%3Cpath stroke='%23e87a60' d='M2 8h1m1 0h1'/%3E%3Cpath stroke='%23e87c62' d='M3 8h1'/%3E%3Cpath stroke='%23e8745b' d='M5 8h1'/%3E%3Cpath stroke='%23e76e54' d='M6 8h1'/%3E%3Cpath stroke='%23e24d24' d='M14 8h1'/%3E%3Cpath stroke='%23e24b22' d='M15 8h1'/%3E%3Cpath stroke='%23e24d25' d='M16 8h1'/%3E%3Cpath stroke='%23e05029' d='M17 8h1'/%3E%3Cpath stroke='%23d44c29' d='M18 8h1'/%3E%3Cpath stroke='%23ae391b' d='M19 8h1'/%3E%3Cpath stroke='%23e35d3c' d='M1 9h1'/%3E%3Cpath stroke='%23e8765d' d='M4 9h1'/%3E%3Cpath stroke='%23e66f53' d='M6 9h1'/%3E%3Cpath stroke='%23e56b4e' d='M7 9h1'/%3E%3Cpath stroke='%23e45127' d='M13 9h1'/%3E%3Cpath stroke='%23e44f23' d='M14 9h1'/%3E%3Cpath stroke='%23e34c20' d='M15 9h1'/%3E%3Cpath stroke='%23e34d22' d='M16 9h1'/%3E%3Cpath stroke='%23e14f25' d='M17 9h1'/%3E%3Cpath stroke='%23d54a25' d='M18 9h1'/%3E%3Cpath stroke='%23af3719' d='M19 9h1'/%3E%3Cpath stroke='%23e35937' d='M1 10h1'/%3E%3Cpath stroke='%23e76d51' d='M2 10h1'/%3E%3Cpath stroke='%23e87257' d='M3 10h1'/%3E%3Cpath stroke='%23e87359' d='M4 10h1'/%3E%3Cpath stroke='%23e77157' d='M5 10h1'/%3E%3Cpath stroke='%23e66e52' d='M6 10h1'/%3E%3Cpath stroke='%23e56747' d='M8 10h1'/%3E%3Cpath stroke='%23e5572c' d='M12 10h1'/%3E%3Cpath stroke='%23e55326' d='M13 10h1'/%3E%3Cpath stroke='%23e55022' d='M14 10h1'/%3E%3Cpath stroke='%23e54d1e' d='M15 10h1'/%3E%3Cpath stroke='%23e54d1f' d='M16 10h1'/%3E%3Cpath stroke='%23e24e21' d='M17 10h1'/%3E%3Cpath stroke='%23d64921' d='M18 10h1'/%3E%3Cpath stroke='%23af3516' d='M19 10h1'/%3E%3Cpath stroke='%23e25432' d='M1 11h1'/%3E%3Cpath stroke='%23e5694b' d='M2 11h1'/%3E%3Cpath stroke='%23e77054' d='M3 11h1'/%3E%3Cpath stroke='%23e77156' d='M4 11h1'/%3E%3Cpath stroke='%23e87055' d='M5 11h1'/%3E%3Cpath stroke='%23e66c4d' d='M7 11h1'/%3E%3Cpath stroke='%23e75526' d='M13 11h1'/%3E%3Cpath stroke='%23e75221' d='M14 11h1'/%3E%3Cpath stroke='%23e64e1c' d='M15 11h1'/%3E%3Cpath stroke='%23e64d1c' d='M16 11h1'/%3E%3Cpath stroke='%23e34c1c' d='M17 11h1'/%3E%3Cpath stroke='%23d6461c' d='M18 11h1'/%3E%3Cpath stroke='%23b03312' d='M19 11h1'/%3E%3Cpath stroke='%23e14f2b' d='M1 12h1'/%3E%3Cpath stroke='%23e66b4e' d='M3 12h1'/%3E%3Cpath stroke='%23e76f53' d='M5 12h1'/%3E%3Cpath stroke='%23e66e51' d='M6 12h1'/%3E%3Cpath stroke='%23e7653d' d='M10 12h1'/%3E%3Cpath stroke='%23fef5f1' d='M13 12h1'/%3E%3Cpath stroke='%23e85421' d='M14 12h1'/%3E%3Cpath stroke='%23e8501b' d='M15 12h1'/%3E%3Cpath stroke='%23e74d18' d='M16 12h1'/%3E%3Cpath stroke='%23e44a18' d='M17 12h1'/%3E%3Cpath stroke='%23d74216' d='M18 12h1'/%3E%3Cpath stroke='%23b2310f' d='M19 12h1'/%3E%3Cpath stroke='%23e04b25' d='M1 13h1m0 3h1'/%3E%3Cpath stroke='%23e35e3d' d='M2 13h1'/%3E%3Cpath stroke='%23e56748' d='M3 13h1'/%3E%3Cpath stroke='%23e66c4e' d='M4 13h1'/%3E%3Cpath stroke='%23e66d50' d='M5 13h1'/%3E%3Cpath stroke='%23e76842' d='M9 13h1'/%3E%3Cpath stroke='%23e7653c' d='M10 13h1'/%3E%3Cpath stroke='%23e86236' d='M11 13h1'/%3E%3Cpath stroke='%23e95019' d='M15 13h1m-2 3h1'/%3E%3Cpath stroke='%23e84c16' d='M16 13h1'/%3E%3Cpath stroke='%23e44713' d='M17 13h1'/%3E%3Cpath stroke='%23d83f10' d='M18 13h1'/%3E%3Cpath stroke='%23b12d0a' d='M19 13h1'/%3E%3Cpath stroke='%23df451e' d='M1 14h1'/%3E%3Cpath stroke='%23e25836' d='M2 14h1'/%3E%3Cpath stroke='%23e46242' d='M3 14h1m0 1h1'/%3E%3Cpath stroke='%23e56749' d='M4 14h1'/%3E%3Cpath stroke='%23e66845' d='M8 14h1'/%3E%3Cpath stroke='%23e76741' d='M9 14h1'/%3E%3Cpath stroke='%23e7643b' d='M10 14h1'/%3E%3Cpath stroke='%23e86235' d='M11 14h1'/%3E%3Cpath stroke='%23ea5e2d' d='M12 14h1'/%3E%3Cpath stroke='%23e94a11' d='M16 14h1m-2 2h1'/%3E%3Cpath stroke='%23e6440d' d='M17 14h1'/%3E%3Cpath stroke='%23d73b0b' d='M18 14h1'/%3E%3Cpath stroke='%23b12b06' d='M19 14h1'/%3E%3Cpath stroke='%23de4018' d='M1 15h1'/%3E%3Cpath stroke='%23e1512e' d='M2 15h1'/%3E%3Cpath stroke='%23f5c1b5' d='M5 15h1'/%3E%3Cpath stroke='%23e66543' d='M7 15h1'/%3E%3Cpath stroke='%23e66541' d='M8 15h1'/%3E%3Cpath stroke='%23e6643d' d='M9 15h1'/%3E%3Cpath stroke='%23e76238' d='M10 15h1'/%3E%3Cpath stroke='%23e86032' d='M11 15h1'/%3E%3Cpath stroke='%23e95c2a' d='M12 15h1'/%3E%3Cpath stroke='%23ea5924' d='M13 15h1'/%3E%3Cpath stroke='%23f7b8a1' d='M15 15h1'/%3E%3Cpath stroke='%23e9480e' d='M16 15h1'/%3E%3Cpath stroke='%23e54009' d='M17 15h1'/%3E%3Cpath stroke='%23d73605' d='M18 15h1'/%3E%3Cpath stroke='%23b02702' d='M19 15h1'/%3E%3Cpath stroke='%23dd3c14' d='M1 16h1'/%3E%3Cpath stroke='%23e15431' d='M3 16h1'/%3E%3Cpath stroke='%23e35b39' d='M4 16h1'/%3E%3Cpath stroke='%23e45e3d' d='M5 16h1'/%3E%3Cpath stroke='%23e45f3d' d='M6 16h1'/%3E%3Cpath stroke='%23e45e3b' d='M7 16h1'/%3E%3Cpath stroke='%23e55e39' d='M8 16h1'/%3E%3Cpath stroke='%23e55e37' d='M9 16h1'/%3E%3Cpath stroke='%23e65d32' d='M10 16h1'/%3E%3Cpath stroke='%23e75b2c' d='M11 16h1'/%3E%3Cpath stroke='%23e85725' d='M12 16h1'/%3E%3Cpath stroke='%23e9541f' d='M13 16h1'/%3E%3Cpath stroke='%23e8440b' d='M16 16h1'/%3E%3Cpath stroke='%23e43d05' d='M17 16h1'/%3E%3Cpath stroke='%23d63302' d='M18 16h1'/%3E%3Cpath stroke='%23af2601' d='M19 16h1'/%3E%3Cpath stroke='%23d8370e' d='M1 17h1'/%3E%3Cpath stroke='%23db431c' d='M2 17h1'/%3E%3Cpath stroke='%23dd4c28' d='M3 17h1'/%3E%3Cpath stroke='%23de522f' d='M4 17h1'/%3E%3Cpath stroke='%23df5533' d='M5 17h1'/%3E%3Cpath stroke='%23e05734' d='M6 17h1'/%3E%3Cpath stroke='%23e05531' d='M7 17h1'/%3E%3Cpath stroke='%23e05631' d='M8 17h1'/%3E%3Cpath stroke='%23e1562e' d='M9 17h1'/%3E%3Cpath stroke='%23e2552a' d='M10 17h1'/%3E%3Cpath stroke='%23e45325' d='M11 17h1'/%3E%3Cpath stroke='%23e4501f' d='M12 17h1'/%3E%3Cpath stroke='%23e54c19' d='M13 17h1'/%3E%3Cpath stroke='%23e54813' d='M14 17h1'/%3E%3Cpath stroke='%23e5430d' d='M15 17h1'/%3E%3Cpath stroke='%23e43e07' d='M16 17h1'/%3E%3Cpath stroke='%23e03802' d='M17 17h1'/%3E%3Cpath stroke='%23d12f00' d='M18 17h1'/%3E%3Cpath stroke='%23aa2300' d='M19 17h1'/%3E%3Cpath stroke='%23cd4928' d='M1 18h1'/%3E%3Cpath stroke='%23cc3813' d='M2 18h1'/%3E%3Cpath stroke='%23cc3e1b' d='M3 18h1'/%3E%3Cpath stroke='%23cf4421' d='M4 18h1'/%3E%3Cpath stroke='%23cf4725' d='M5 18h1'/%3E%3Cpath stroke='%23cf4726' d='M6 18h1'/%3E%3Cpath stroke='%23cf4624' d='M7 18h1'/%3E%3Cpath stroke='%23d04723' d='M8 18h1'/%3E%3Cpath stroke='%23d14621' d='M9 18h1'/%3E%3Cpath stroke='%23d2451e' d='M10 18h1'/%3E%3Cpath stroke='%23d5451b' d='M11 18h1'/%3E%3Cpath stroke='%23d54216' d='M12 18h1'/%3E%3Cpath stroke='%23d64013' d='M13 18h1'/%3E%3Cpath stroke='%23d53d0e' d='M14 18h1'/%3E%3Cpath stroke='%23d63909' d='M15 18h1'/%3E%3Cpath stroke='%23d53504' d='M16 18h1'/%3E%3Cpath stroke='%23d13001' d='M17 18h1'/%3E%3Cpath stroke='%23c22a00' d='M18 18h1'/%3E%3Cpath stroke='%23ab3c1f' d='M19 18h1'/%3E%3Cpath stroke='%23eed6d0' d='M1 19h1'/%3E%3Cpath stroke='%23b54428' d='M2 19h1'/%3E%3Cpath stroke='%23a62b0d' d='M3 19h1'/%3E%3Cpath stroke='%23ac3011' d='M4 19h1'/%3E%3Cpath stroke='%23ab3112' d='M5 19h1'/%3E%3Cpath stroke='%23a93214' d='M6 19h1'/%3E%3Cpath stroke='%23a93012' d='M7 19h1'/%3E%3Cpath stroke='%23ac3213' d='M8 19h1'/%3E%3Cpath stroke='%23ad3213' d='M9 19h1'/%3E%3Cpath stroke='%23ae3110' d='M10 19h1'/%3E%3Cpath stroke='%23b1300d' d='M11 19h1'/%3E%3Cpath stroke='%23b22e0a' d='M12 19h1'/%3E%3Cpath stroke='%23b42d08' d='M13 19h1'/%3E%3Cpath stroke='%23b12a06' d='M14 19h1'/%3E%3Cpath stroke='%23b12803' d='M15 19h1'/%3E%3Cpath stroke='%23b42701' d='M16 19h1'/%3E%3Cpath stroke='%23ae2400' d='M17 19h1'/%3E%3Cpath stroke='%23ac3c1f' d='M18 19h1'/%3E%3Cpath stroke='%23ead4cf' d='M19 19h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Close]: hover{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23b5c6ef' d='M1 0h1m17 0h1M0 1h1m19 0h1M0 19h1m19 0h1M1 20h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m5 0h1m7 0h1m5 0h1M0 6h1m4 0h3m5 0h3m4 0h1M0 7h1m5 0h3m3 0h3m5 0h1M0 8h1m6 0h3m1 0h3m6 0h1M0 9h1m7 0h5m7 0h1M0 10h1m8 0h3m8 0h1M0 11h1m7 0h5m7 0h1M0 12h1m6 0h3m1 0h2m7 0h1M0 13h1m5 0h3m3 0h3m5 0h1M0 14h1m4 0h3m5 0h3m4 0h1M0 15h1m5 0h1m7 0h1m5 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h3m5 0h7'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%23ffe4e1' d='M1 1h1'/%3E%3Cpath stroke='%23ff9285' d='M2 1h1m4 3h1M2 7h1'/%3E%3Cpath stroke='%23ff8c7f' d='M3 1h1'/%3E%3Cpath stroke='%23ff8375' d='M4 1h1m5 3h1'/%3E%3Cpath stroke='%23ff7b6c' d='M5 1h1M3 12h1'/%3E%3Cpath stroke='%23ff7868' d='M6 1h1m3 4h1'/%3E%3Cpath stroke='%23ff7362' d='M7 1h1'/%3E%3Cpath stroke='%23ff7363' d='M8 1h1m2 4h1M2 12h1'/%3E%3Cpath stroke='%23ff705f' d='M9 1h1M6 16h1'/%3E%3Cpath stroke='%23ff6f5f' d='M10 1h1'/%3E%3Cpath stroke='%23ff6e5d' d='M11 1h1m4 1h1m-5 3h1M2 13h1'/%3E%3Cpath stroke='%23ff6b5a' d='M12 1h1M3 15h1'/%3E%3Cpath stroke='%23f65' d='M13 1h2'/%3E%3Cpath stroke='%23ff6250' d='M15 1h1M2 15h1'/%3E%3Cpath stroke='%23ff5d4a' d='M16 1h1'/%3E%3Cpath stroke='%23fa5643' d='M17 1h1'/%3E%3Cpath stroke='%23eb6151' d='M18 1h1'/%3E%3Cpath stroke='%23f5dad7' d='M19 1h1'/%3E%3Cpath stroke='%23ff9386' d='M1 2h1'/%3E%3Cpath stroke='%23ffaea5' d='M2 2h1'/%3E%3Cpath stroke='%23ffb2a9' d='M3 2h1'/%3E%3Cpath stroke='%23ffa99f' d='M4 2h1'/%3E%3Cpath stroke='%23ff9e93' d='M5 2h1m0 1h1M5 4h1'/%3E%3Cpath stroke='%23ff998d' d='M6 2h1M4 6h1'/%3E%3Cpath stroke='%23ff9488' d='M7 2h1m0 1h1'/%3E%3Cpath stroke='%23ff9083' d='M8 2h1M3 8h1'/%3E%3Cpath stroke='%23ff8e80' d='M9 2h1'/%3E%3Cpath stroke='%23ff8b7d' d='M10 2h1M5 8h1M3 9h1'/%3E%3Cpath stroke='%23ff887a' d='M11 2h1m0 1h1M5 9h1'/%3E%3Cpath stroke='%23ff8475' d='M12 2h1M8 5h1'/%3E%3Cpath stroke='%23ff8172' d='M13 2h1M7 9h1m-3 3h1'/%3E%3Cpath stroke='%23ff7c6d' d='M14 2h1'/%3E%3Cpath stroke='%23ff7666' d='M15 2h1M1 7h1m1 6h1m0 1h1'/%3E%3Cpath stroke='%23fc6352' d='M17 2h1'/%3E%3Cpath stroke='%23e54' d='M18 2h1'/%3E%3Cpath stroke='%23d3594b' d='M19 2h1'/%3E%3Cpath stroke='%23ff8d80' d='M1 3h1'/%3E%3Cpath stroke='%23ffb3ab' d='M2 3h1'/%3E%3Cpath stroke='%23ffb8b0' d='M3 3h1'/%3E%3Cpath stroke='%23ffb0a6' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23ffa49a' d='M5 3h1'/%3E%3Cpath stroke='%23ff988d' d='M7 3h1M6 4h1'/%3E%3Cpath stroke='%23ff9184' d='M9 3h1'/%3E%3Cpath stroke='%23ff8e81' d='M10 3h1M4 8h1'/%3E%3Cpath stroke='%23ff8c7e' d='M11 3h1M2 8h1'/%3E%3Cpath stroke='%23ff8576' d='M13 3h1M6 9h1m-4 1h1'/%3E%3Cpath stroke='%23ff7f70' d='M14 3h1M1 5h1m0 5h1m1 2h1'/%3E%3Cpath stroke='%23ff796a' d='M15 3h1M2 11h1'/%3E%3Cpath stroke='%23ff7161' d='M16 3h1M3 14h1'/%3E%3Cpath stroke='%23fc6857' d='M17 3h1'/%3E%3Cpath stroke='%23ed5948' d='M18 3h1M6 18h1'/%3E%3Cpath stroke='%23cb4233' d='M19 3h1'/%3E%3Cpath stroke='%23ff8577' d='M1 4h1m0 5h1'/%3E%3Cpath stroke='%23ffaaa0' d='M2 4h1'/%3E%3Cpath stroke='%23ffa89e' d='M4 4h1'/%3E%3Cpath stroke='%23ff8d7f' d='M8 4h1'/%3E%3Cpath stroke='%23ff8879' d='M9 4h1'/%3E%3Cpath stroke='%23ff8071' d='M11 4h1M8 6h1'/%3E%3Cpath stroke='%23ff7a6b' d='M12 4h1M1 6h1m7 0h1m-6 7h1'/%3E%3Cpath stroke='%23ff7969' d='M13 4h1'/%3E%3Cpath stroke='%23ff7464' d='M14 4h1m-5 2h1'/%3E%3Cpath stroke='%23ff7060' d='M15 4h1'/%3E%3Cpath stroke='%23ff6c5b' d='M16 4h1m-4 1h1'/%3E%3Cpath stroke='%23fc6655' d='M17 4h1'/%3E%3Cpath stroke='%23ef5c4b' d='M18 4h1'/%3E%3Cpath stroke='%23cc4636' d='M19 4h1'/%3E%3Cpath stroke='%23ffa095' d='M2 5h1'/%3E%3Cpath stroke='%23ffa59b' d='M3 5h1'/%3E%3Cpath stroke='%23ff9f94' d='M4 5h1'/%3E%3Cpath stroke='%23ffd5d1' d='M5 5h1'/%3E%3Cpath stroke='%23ff8a7c' d='M7 5h1'/%3E%3Cpath stroke='%23ff7e6f' d='M9 5h1'/%3E%3Cpath stroke='%23ffc2bb' d='M15 5h1'/%3E%3Cpath stroke='%23ff6554' d='M16 5h1'/%3E%3Cpath stroke='%23fc6453' d='M17 5h1'/%3E%3Cpath stroke='%23ee5d4d' d='M18 5h1'/%3E%3Cpath stroke='%23cd4939' d='M19 5h1'/%3E%3Cpath stroke='%23ff998e' d='M2 6h1'/%3E%3Cpath stroke='%23ff9d92' d='M3 6h1'/%3E%3Cpath stroke='%23ff6f5e' d='M11 6h1'/%3E%3Cpath stroke='%23ff6a58' d='M12 6h1'/%3E%3Cpath stroke='%23ff6451' d='M16 6h1'/%3E%3Cpath stroke='%23fd6451' d='M17 6h1'/%3E%3Cpath stroke='%23ee5e4d' d='M18 6h1'/%3E%3Cpath stroke='%23ce4a3a' d='M19 6h1'/%3E%3Cpath stroke='%23ff968a' d='M3 7h1'/%3E%3Cpath stroke='%23ff9487' d='M4 7h1'/%3E%3Cpath stroke='%23ff8f82' d='M5 7h1'/%3E%3Cpath stroke='%23ff7968' d='M9 7h1m-3 8h1'/%3E%3Cpath stroke='%23ff7463' d='M10 7h1'/%3E%3Cpath stroke='%23ff6f5d' d='M11 7h1'/%3E%3Cpath stroke='%23ff6450' d='M15 7h1'/%3E%3Cpath stroke='%23ff6552' d='M16 7h1'/%3E%3Cpath stroke='%23fd6653' d='M17 7h1'/%3E%3Cpath stroke='%23f0604e' d='M18 7h1'/%3E%3Cpath stroke='%23ce4a3b' d='M19 7h1'/%3E%3Cpath stroke='%23ff7565' d='M1 8h1'/%3E%3Cpath stroke='%23ff8677' d='M6 8h1m-2 2h1'/%3E%3Cpath stroke='%23ff7664' d='M10 8h1'/%3E%3Cpath stroke='%23ff6a53' d='M14 8h1'/%3E%3Cpath stroke='%23ff6953' d='M15 8h1'/%3E%3Cpath stroke='%23ff6b55' d='M16 8h1'/%3E%3Cpath stroke='%23fd6b56' d='M17 8h1'/%3E%3Cpath stroke='%23f06350' d='M18 8h1'/%3E%3Cpath stroke='%23cf4c3b' d='M19 8h1'/%3E%3Cpath stroke='%23ff6d5d' d='M1 9h1'/%3E%3Cpath stroke='%23ff8b7c' d='M4 9h1'/%3E%3Cpath stroke='%23ff775d' d='M13 9h1'/%3E%3Cpath stroke='%23ff745a' d='M14 9h1'/%3E%3Cpath stroke='%23ff7359' d='M15 9h1'/%3E%3Cpath stroke='%23ff735a' d='M16 9h1'/%3E%3Cpath stroke='%23fd715a' d='M17 9h1'/%3E%3Cpath stroke='%23f16752' d='M18 9h1'/%3E%3Cpath stroke='%23d24e3c' d='M19 9h1'/%3E%3Cpath stroke='%23ff6a59' d='M1 10h1m2 6h1'/%3E%3Cpath stroke='%23ff8778' d='M4 10h1'/%3E%3Cpath stroke='%23ff8374' d='M6 10h1m-3 1h2'/%3E%3Cpath stroke='%23ff8171' d='M7 10h1m-5 1h1'/%3E%3Cpath stroke='%23ff8271' d='M8 10h1m-2 1h1'/%3E%3Cpath stroke='%23ff8369' d='M12 10h1'/%3E%3Cpath stroke='%23ff8165' d='M13 10h1'/%3E%3Cpath stroke='%23ff7e61' d='M14 10h1'/%3E%3Cpath stroke='%23ff7d5f' d='M15 10h1'/%3E%3Cpath stroke='%23ff7b5f' d='M16 10h1'/%3E%3Cpath stroke='%23fd775d' d='M17 10h1'/%3E%3Cpath stroke='%23f36a53' d='M18 10h1'/%3E%3Cpath stroke='%23d34e3c' d='M19 10h1'/%3E%3Cpath stroke='%23ff6553' d='M1 11h1'/%3E%3Cpath stroke='%23ff8273' d='M6 11h1'/%3E%3Cpath stroke='%23ff8c6c' d='M13 11h1'/%3E%3Cpath stroke='%23ff8969' d='M14 11h1'/%3E%3Cpath stroke='%23ff8665' d='M15 11h1'/%3E%3Cpath stroke='%23ff8262' d='M16 11h1'/%3E%3Cpath stroke='%23fd7c5e' d='M17 11h1'/%3E%3Cpath stroke='%23f46d54' d='M18 11h1'/%3E%3Cpath stroke='%23d64f3b' d='M19 11h1'/%3E%3Cpath stroke='%23ff5f4d' d='M1 12h1'/%3E%3Cpath stroke='%23ff8070' d='M6 12h1'/%3E%3Cpath stroke='%23ff9279' d='M10 12h1'/%3E%3Cpath stroke='%23fff8f6' d='M13 12h1'/%3E%3Cpath stroke='%23ff936f' d='M14 12h1'/%3E%3Cpath stroke='%23ff906c' d='M15 12h1'/%3E%3Cpath stroke='%23ff8967' d='M16 12h1'/%3E%3Cpath stroke='%23fe7f5f' d='M17 12h1'/%3E%3Cpath stroke='%23f56e52' d='M18 12h1'/%3E%3Cpath stroke='%23d84f39' d='M19 12h1'/%3E%3Cpath stroke='%23ff5c4a' d='M1 13h1'/%3E%3Cpath stroke='%23ff7d6e' d='M5 13h1'/%3E%3Cpath stroke='%23ff907a' d='M9 13h1'/%3E%3Cpath stroke='%23ff957c' d='M10 13h1'/%3E%3Cpath stroke='%23ff9a7e' d='M11 13h1'/%3E%3Cpath stroke='%23ff9670' d='M15 13h1'/%3E%3Cpath stroke='%23ff8e68' d='M16 13h1'/%3E%3Cpath stroke='%23fe815e' d='M17 13h1'/%3E%3Cpath stroke='%23f66c4f' d='M18 13h1'/%3E%3Cpath stroke='%23da4d36' d='M19 13h1'/%3E%3Cpath stroke='%23ff5744' d='M1 14h1'/%3E%3Cpath stroke='%23ff6857' d='M2 14h1'/%3E%3Cpath stroke='%23ff8672' d='M8 14h1'/%3E%3Cpath stroke='%23ff8f78' d='M9 14h1'/%3E%3Cpath stroke='%23ff967c' d='M10 14h1'/%3E%3Cpath stroke='%23ff9c7e' d='M11 14h1'/%3E%3Cpath stroke='%23ffa07e' d='M12 14h1'/%3E%3Cpath stroke='%23ff8e66' d='M16 14h1'/%3E%3Cpath stroke='%23fe7f5a' d='M17 14h1m-3 3h1'/%3E%3Cpath stroke='%23f76a4b' d='M18 14h1'/%3E%3Cpath stroke='%23da4a33' d='M19 14h1'/%3E%3Cpath stroke='%23ff523f' d='M1 15h1'/%3E%3Cpath stroke='%23ff7160' d='M4 15h1'/%3E%3Cpath stroke='%23ffc7c1' d='M5 15h1'/%3E%3Cpath stroke='%23ff836f' d='M8 15h1'/%3E%3Cpath stroke='%23ff8b74' d='M9 15h1'/%3E%3Cpath stroke='%23ff9379' d='M10 15h1'/%3E%3Cpath stroke='%23ff9a7c' d='M11 15h1'/%3E%3Cpath stroke='%23ff9e7c' d='M12 15h1'/%3E%3Cpath stroke='%23ffa07a' d='M13 15h1'/%3E%3Cpath stroke='%23ffd5c5' d='M15 15h1'/%3E%3Cpath stroke='%23ff8b62' d='M16 15h1'/%3E%3Cpath stroke='%23fe7c56' d='M17 15h1'/%3E%3Cpath stroke='%23f76545' d='M18 15h1'/%3E%3Cpath stroke='%23db4931' d='M19 15h1'/%3E%3Cpath stroke='%23ff4f3a' d='M1 16h1'/%3E%3Cpath stroke='%23ff5c49' d='M2 16h1'/%3E%3Cpath stroke='%23ff6452' d='M3 16h1'/%3E%3Cpath stroke='%23ff6e5e' d='M5 16h1'/%3E%3Cpath stroke='%23ff7462' d='M7 16h1'/%3E%3Cpath stroke='%23ff7c68' d='M8 16h1'/%3E%3Cpath stroke='%23ff846d' d='M9 16h1'/%3E%3Cpath stroke='%23ff8b71' d='M10 16h1'/%3E%3Cpath stroke='%23ff9174' d='M11 16h1'/%3E%3Cpath stroke='%23ff9674' d='M12 16h1'/%3E%3Cpath stroke='%23ff9571' d='M13 16h1'/%3E%3Cpath stroke='%23ff946d' d='M14 16h1'/%3E%3Cpath stroke='%23ff8d66' d='M15 16h1'/%3E%3Cpath stroke='%23ff855c' d='M16 16h1'/%3E%3Cpath stroke='%23fe7650' d='M17 16h1'/%3E%3Cpath stroke='%23f66141' d='M18 16h1'/%3E%3Cpath stroke='%23da462f' d='M19 16h1'/%3E%3Cpath stroke='%23fa4935' d='M1 17h1'/%3E%3Cpath stroke='%23fb5441' d='M2 17h1'/%3E%3Cpath stroke='%23fc5c4a' d='M3 17h1'/%3E%3Cpath stroke='%23fb6150' d='M4 17h1'/%3E%3Cpath stroke='%23fc6554' d='M5 17h1'/%3E%3Cpath stroke='%23fc6756' d='M6 17h1'/%3E%3Cpath stroke='%23fc6a58' d='M7 17h1'/%3E%3Cpath stroke='%23fc715c' d='M8 17h1'/%3E%3Cpath stroke='%23fc7761' d='M9 17h1'/%3E%3Cpath stroke='%23fd7e64' d='M10 17h1'/%3E%3Cpath stroke='%23fd8367' d='M11 17h1'/%3E%3Cpath stroke='%23fe8566' d='M12 17h1'/%3E%3Cpath stroke='%23fe8664' d='M13 17h1'/%3E%3Cpath stroke='%23fe8460' d='M14 17h1'/%3E%3Cpath stroke='%23fe7651' d='M16 17h1'/%3E%3Cpath stroke='%23fc6b47' d='M17 17h1'/%3E%3Cpath stroke='%23f2573a' d='M18 17h1'/%3E%3Cpath stroke='%23d4402a' d='M19 17h1'/%3E%3Cpath stroke='%23e85848' d='M1 18h1'/%3E%3Cpath stroke='%23ed4a37' d='M2 18h1'/%3E%3Cpath stroke='%23ec4f3d' d='M3 18h1'/%3E%3Cpath stroke='%23ee5443' d='M4 18h1'/%3E%3Cpath stroke='%23ed5746' d='M5 18h1'/%3E%3Cpath stroke='%23ee5a48' d='M7 18h1'/%3E%3Cpath stroke='%23ef5e4b' d='M8 18h1'/%3E%3Cpath stroke='%23f0644e' d='M9 18h1'/%3E%3Cpath stroke='%23f16750' d='M10 18h1'/%3E%3Cpath stroke='%23f46c52' d='M11 18h1'/%3E%3Cpath stroke='%23f66d51' d='M12 18h1'/%3E%3Cpath stroke='%23f66e51' d='M13 18h1'/%3E%3Cpath stroke='%23f66c4e' d='M14 18h1'/%3E%3Cpath stroke='%23f86a4a' d='M15 18h1'/%3E%3Cpath stroke='%23f76343' d='M16 18h1'/%3E%3Cpath stroke='%23f3583a' d='M17 18h1'/%3E%3Cpath stroke='%23e54930' d='M18 18h1'/%3E%3Cpath stroke='%23cd5140' d='M19 18h1'/%3E%3Cpath stroke='%23f6d9d6' d='M1 19h1'/%3E%3Cpath stroke='%23d25344' d='M2 19h1'/%3E%3Cpath stroke='%23c93c2b' d='M3 19h1'/%3E%3Cpath stroke='%23ca3f2f' d='M4 19h1'/%3E%3Cpath stroke='%23ca4131' d='M5 19h1'/%3E%3Cpath stroke='%23ca4333' d='M6 19h1'/%3E%3Cpath stroke='%23cc4332' d='M7 19h1'/%3E%3Cpath stroke='%23cf4434' d='M8 19h1'/%3E%3Cpath stroke='%23d24936' d='M9 19h1'/%3E%3Cpath stroke='%23d34936' d='M10 19h1'/%3E%3Cpath stroke='%23d84b37' d='M11 19h1'/%3E%3Cpath stroke='%23da4c36' d='M12 19h1'/%3E%3Cpath stroke='%23dc4d36' d='M13 19h1'/%3E%3Cpath stroke='%23d94933' d='M14 19h1'/%3E%3Cpath stroke='%23de4a32' d='M15 19h1'/%3E%3Cpath stroke='%23dd482f' d='M16 19h1'/%3E%3Cpath stroke='%23d6402a' d='M17 19h1'/%3E%3Cpath stroke='%23cf5140' d='M18 19h1'/%3E%3Cpath stroke='%23f1d8d5' d='M19 19h1'/%3E%3Cpath stroke='%23fefefe' d='M6 20h1m3 0h1'/%3E%3Cpath stroke='%23fdfdfd' d='M7 20h1m1 0h1'/%3E%3Cpath stroke='%23fcfcfc' d='M8 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Close]: not(: disabled): active{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a7bced' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m15 0h1M0 2h1m19 0h1M0 18h1m19 0h1M2 20h1m15 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m19 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23a7baec' d='M19 0h1m0 1h1'/%3E%3Cpath stroke='%23dad2d0' d='M1 1h1'/%3E%3Cpath stroke='%23643529' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%235a1d0d' d='M3 1h1'/%3E%3Cpath stroke='%235d1e0d' d='M4 1h1'/%3E%3Cpath stroke='%235f1e0e' d='M5 1h1'/%3E%3Cpath stroke='%2363200e' d='M6 1h1'/%3E%3Cpath stroke='%2368210f' d='M7 1h1'/%3E%3Cpath stroke='%236f2310' d='M8 1h1'/%3E%3Cpath stroke='%23732511' d='M9 1h1'/%3E%3Cpath stroke='%23752511' d='M10 1h1M1 10h1'/%3E%3Cpath stroke='%237c2712' d='M11 1h1'/%3E%3Cpath stroke='%23822912' d='M12 1h1M5 2h1'/%3E%3Cpath stroke='%23852a13' d='M13 1h1M2 5h1m-2 8h1'/%3E%3Cpath stroke='%23892b13' d='M14 1h1'/%3E%3Cpath stroke='%238a2b14' d='M15 1h1M6 2h1'/%3E%3Cpath stroke='%238e2d14' d='M16 1h1M7 2h1'/%3E%3Cpath stroke='%238c2c14' d='M17 1h1M2 6h1'/%3E%3Cpath stroke='%239d4732' d='M18 1h1M1 18h1'/%3E%3Cpath stroke='%23ebd8d3' d='M19 1h1'/%3E%3Cpath stroke='%2369220f' d='M2 2h1'/%3E%3Cpath stroke='%23782611' d='M3 2h1'/%3E%3Cpath stroke='%237e2812' d='M4 2h1'/%3E%3Cpath stroke='%23932e15' d='M8 2h1'/%3E%3Cpath stroke='%239a3016' d='M9 2h1'/%3E%3Cpath stroke='%239c3116' d='M10 2h1'/%3E%3Cpath stroke='%23a03217' d='M11 2h1'/%3E%3Cpath stroke='%23a43418' d='M12 2h1'/%3E%3Cpath stroke='%23a73518' d='M13 2h1'/%3E%3Cpath stroke='%23aa3618' d='M14 2h1M2 14h1'/%3E%3Cpath stroke='%23ab3618' d='M15 2h1'/%3E%3Cpath stroke='%23ad3719' d='M16 2h1m1 0h1M2 16h1m-1 1h1'/%3E%3Cpath stroke='%23ac3618' d='M17 2h1'/%3E%3Cpath stroke='%23b24e35' d='M19 2h1'/%3E%3Cpath stroke='%23591c0d' d='M1 3h1M1 4h1'/%3E%3Cpath stroke='%23792711' d='M2 3h1'/%3E%3Cpath stroke='%238d2c14' d='M3 3h1'/%3E%3Cpath stroke='%23962e15' d='M4 3h1'/%3E%3Cpath stroke='%239a2f16' d='M5 3h1'/%3E%3Cpath stroke='%23a13117' d='M6 3h1'/%3E%3Cpath stroke='%23a63317' d='M7 3h1'/%3E%3Cpath stroke='%23aa3418' d='M8 3h1'/%3E%3Cpath stroke='%23af3619' d='M9 3h1'/%3E%3Cpath stroke='%23b23719' d='M10 3h1M8 4h1M4 8h1'/%3E%3Cpath stroke='%23b5391a' d='M11 3h1'/%3E%3Cpath stroke='%23b73a1b' d='M12 3h1'/%3E%3Cpath stroke='%23b93b1b' d='M13 3h1'/%3E%3Cpath stroke='%23ba3b1b' d='M14 3h2m3 0h1M3 13h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23bb3b1b' d='M16 3h3M3 15h1'/%3E%3Cpath stroke='%23802812' d='M2 4h1m-2 8h1'/%3E%3Cpath stroke='%23962f15' d='M3 4h1'/%3E%3Cpath stroke='%239e3016' d='M4 4h1'/%3E%3Cpath stroke='%23a43216' d='M5 4h1'/%3E%3Cpath stroke='%23aa3317' d='M6 4h1M4 6h1'/%3E%3Cpath stroke='%23ae3518' d='M7 4h1'/%3E%3Cpath stroke='%23b5381a' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%23b8391a' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%23ba3a1b' d='M11 4h1m-8 7h2'/%3E%3Cpath stroke='%23bc3b1c' d='M12 4h1m-9 8h1'/%3E%3Cpath stroke='%23bd3c1c' d='M13 4h1m-1 1h1m-2 1h1m-7 6h1m-3 1h2'/%3E%3Cpath stroke='%23be3d1c' d='M14 4h3m-1 1h1m-1 1h1M4 14h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23bf3d1c' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1M4 17h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%235b1d0d' d='M1 5h1'/%3E%3Cpath stroke='%239c3016' d='M3 5h1'/%3E%3Cpath stroke='%23a43217' d='M4 5h1'/%3E%3Cpath stroke='%23b8553e' d='M5 5h1'/%3E%3Cpath stroke='%23d59485' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%23b33619' d='M7 5h1'/%3E%3Cpath stroke='%23b53719' d='M8 5h1'/%3E%3Cpath stroke='%23b8381a' d='M9 5h1M6 8h1'/%3E%3Cpath stroke='%23b9391b' d='M10 5h1'/%3E%3Cpath stroke='%23ba391b' d='M11 5h1M6 9h1m-2 1h1'/%3E%3Cpath stroke='%23bc3b1b' d='M12 5h1m-2 1h1m-6 5h1m-2 1h1'/%3E%3Cpath stroke='%23dc9887' d='M14 5h1'/%3E%3Cpath stroke='%23c85d42' d='M15 5h1M5 15h1'/%3E%3Cpath stroke='%23611f0e' d='M1 6h1'/%3E%3Cpath stroke='%23a23217' d='M3 6h1'/%3E%3Cpath stroke='%23d79585' d='M6 6h1'/%3E%3Cpath stroke='%23d89585' d='M7 6h1'/%3E%3Cpath stroke='%23b8371a' d='M8 6h1'/%3E%3Cpath stroke='%23ba391a' d='M9 6h1'/%3E%3Cpath stroke='%23bb3a1b' d='M10 6h1m-5 4h1'/%3E%3Cpath stroke='%23dd9887' d='M13 6h3m-4 1h1m-2 1h1M9 9h1m-2 2h1m-2 1h1m-2 1h1m-2 1h2'/%3E%3Cpath stroke='%23c03e1d' d='M17 6h1m-2 1h3m0 1h1m-1 1h1M7 16h1m-2 1h2m0 1h1'/%3E%3Cpath stroke='%2365200e' d='M1 7h1'/%3E%3Cpath stroke='%23902d15' d='M2 7h1'/%3E%3Cpath stroke='%23a73418' d='M3 7h1'/%3E%3Cpath stroke='%23af3518' d='M4 7h1'/%3E%3Cpath stroke='%23b43619' d='M5 7h1'/%3E%3Cpath stroke='%23d99585' d='M6 7h1'/%3E%3Cpath stroke='%23da9686' d='M7 7h1'/%3E%3Cpath stroke='%23db9686' d='M8 7h1M7 8h1'/%3E%3Cpath stroke='%23bc3a1b' d='M9 7h1M7 9h1'/%3E%3Cpath stroke='%23bd3b1b' d='M10 7h1m-4 3h1'/%3E%3Cpath stroke='%23be3c1c' d='M11 7h1m-2 1h1m-3 2h1m-2 1h1'/%3E%3Cpath stroke='%23de9987' d='M13 7h2m-3 1h2m-4 1h2m-3 1h1m-2 2h1m-2 2h1'/%3E%3Cpath stroke='%23c03f1d' d='M15 7h1m-9 8h1'/%3E%3Cpath stroke='%236a220f' d='M1 8h1'/%3E%3Cpath stroke='%23952f15' d='M2 8h1'/%3E%3Cpath stroke='%23ac3518' d='M3 8h1'/%3E%3Cpath stroke='%23b63719' d='M5 8h1'/%3E%3Cpath stroke='%23dc9786' d='M8 8h2M8 9h1'/%3E%3Cpath stroke='%23c2401d' d='M14 8h1m2 0h1m1 3h1M8 14h1m-1 2h1m-1 1h1m0 1h1m1 1h1'/%3E%3Cpath stroke='%23c2401e' d='M15 8h2m1 1h1M8 15h1'/%3E%3Cpath stroke='%23c13f1d' d='M18 8h1m0 2h1M9 19h2'/%3E%3Cpath stroke='%23702410' d='M1 9h1'/%3E%3Cpath stroke='%239b3016' d='M2 9h1'/%3E%3Cpath stroke='%23b03619' d='M3 9h1'/%3E%3Cpath stroke='%23b9381a' d='M5 9h1'/%3E%3Cpath stroke='%23df9a88' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23c4421e' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1m-1 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h3'/%3E%3Cpath stroke='%23c5431e' d='M14 9h1'/%3E%3Cpath stroke='%23c5431f' d='M15 9h1m-4 1h1m5 1h1m-9 1h1m-2 2h1m-1 1h1m0 2h1m0 1h1m6 0h1'/%3E%3Cpath stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 1px;
				left: 2px;
				width: 100%;
				height: calc(100% - 2px);
				padding: 1px 2px;
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): after,progress: not([value]): after: not([value]){
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): after: not([value]){
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-moz-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-moz-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			

		</style>
	</head>
	<body>
		<script>
			var log = console.log;
			var theme = 'light';

			var special_col_names = ["trial_index","arm_name","trial_status","generation_method","generation_node","hostname","run_time","start_time","exit_code","signal","end_time","program_string"]

			var result_names = [
			    "ACCURACY",
			    "RUNTIME"
			];
			var result_min_max = [
			    "max",
			    "min"
			];
			var pareto_front_data = {
			    "ACCURACY": {
			        "RUNTIME": {
			            "param_dicts": [
			                {
			                    "recent_samples_size": 3706,
			                    "n_samples": 178,
			                    "const": 1,
			                    "max_depth": 3,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2875,
			                    "n_samples": 178,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2810,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2795,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2901,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 3401,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2186,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 3507,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2527,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 991,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 1166,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 3382,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 3796,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 3833,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2353,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2043,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 700,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 1190,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 3547,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2584,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2210,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2430,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 1545,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2431,
			                    "n_samples": 177,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 3908,
			                    "n_samples": 176,
			                    "const": 1,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2329,
			                    "n_samples": 176,
			                    "const": 0.9950411465081688,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2549,
			                    "n_samples": 176,
			                    "const": 0.9658990347943414,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 1082,
			                    "n_samples": 176,
			                    "const": 0.9388362386223668,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 3827,
			                    "n_samples": 176,
			                    "const": 0.9149905623886695,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 3921,
			                    "n_samples": 176,
			                    "const": 0.8927131713946498,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2033,
			                    "n_samples": 176,
			                    "const": 0.8728792661347055,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 2649,
			                    "n_samples": 176,
			                    "const": 0.8536119866384766,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 394,
			                    "n_samples": 989,
			                    "const": 0.6115698579712511,
			                    "max_depth": 2,
			                    "threshold": 0.4878436451123365
			                },
			                {
			                    "recent_samples_size": 1894,
			                    "n_samples": 176,
			                    "const": 0.8188093383012858,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 857,
			                    "n_samples": 176,
			                    "const": 0.8044129985564769,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 388,
			                    "n_samples": 176,
			                    "const": 0.788693113518471,
			                    "max_depth": 2,
			                    "threshold": 0.2
			                },
			                {
			                    "recent_samples_size": 525,
			                    "n_samples": 992,
			                    "const": 0.6028971795169998,
			                    "max_depth": 2,
			                    "threshold": 0.4885766775271519
			                },
			                {
			                    "recent_samples_size": 2489,
			                    "n_samples": 176,
			                    "const": 0.771923892498424,
			                    "max_depth": 2,
			                    "threshold": 0.2047281956860707
			                },
			                {
			                    "recent_samples_size": 782,
			                    "n_samples": 176,
			                    "const": 0.7508531604986967,
			                    "max_depth": 2,
			                    "threshold": 0.205785588162709
			                },
			                {
			                    "recent_samples_size": 1002,
			                    "n_samples": 175,
			                    "const": 0.7396712101922637,
			                    "max_depth": 2,
			                    "threshold": 0.20844066116022805
			                },
			                {
			                    "recent_samples_size": 3889,
			                    "n_samples": 175,
			                    "const": 0.7220864156480155,
			                    "max_depth": 2,
			                    "threshold": 0.21354558365477644
			                },
			                {
			                    "recent_samples_size": 567,
			                    "n_samples": 992,
			                    "const": 0.5966257603085391,
			                    "max_depth": 2,
			                    "threshold": 0.4872920174124985
			                },
			                {
			                    "recent_samples_size": 46,
			                    "n_samples": 993,
			                    "const": 0.596969099936553,
			                    "max_depth": 2,
			                    "threshold": 0.48740747762777165
			                },
			                {
			                    "recent_samples_size": 288,
			                    "n_samples": 993,
			                    "const": 0.5952322341041012,
			                    "max_depth": 2,
			                    "threshold": 0.48715337452703134
			                },
			                {
			                    "recent_samples_size": 362,
			                    "n_samples": 991,
			                    "const": 0.6101667411105683,
			                    "max_depth": 2,
			                    "threshold": 0.48406139413776095
			                },
			                {
			                    "recent_samples_size": 752,
			                    "n_samples": 993,
			                    "const": 0.5911829091386837,
			                    "max_depth": 2,
			                    "threshold": 0.4866261172603509
			                },
			                {
			                    "recent_samples_size": 31,
			                    "n_samples": 994,
			                    "const": 0.5952331585924189,
			                    "max_depth": 2,
			                    "threshold": 0.4870146788108054
			                },
			                {
			                    "recent_samples_size": 150,
			                    "n_samples": 994,
			                    "const": 0.5892073302148011,
			                    "max_depth": 2,
			                    "threshold": 0.4887840674284385
			                },
			                {
			                    "recent_samples_size": 897,
			                    "n_samples": 993,
			                    "const": 0.5955447916926627,
			                    "max_depth": 2,
			                    "threshold": 0.48437580341730074
			                },
			                {
			                    "recent_samples_size": 154,
			                    "n_samples": 994,
			                    "const": 0.5914854442512706,
			                    "max_depth": 2,
			                    "threshold": 0.48727813052550606
			                },
			                {
			                    "recent_samples_size": 613,
			                    "n_samples": 997,
			                    "const": 0.577402484132848,
			                    "max_depth": 2,
			                    "threshold": 0.4847598437908015
			                },
			                {
			                    "recent_samples_size": 519,
			                    "n_samples": 994,
			                    "const": 0.5913855522822052,
			                    "max_depth": 2,
			                    "threshold": 0.48518243815302253
			                },
			                {
			                    "recent_samples_size": 342,
			                    "n_samples": 995,
			                    "const": 0.5848941896065746,
			                    "max_depth": 2,
			                    "threshold": 0.48707889027673895
			                },
			                {
			                    "recent_samples_size": 217,
			                    "n_samples": 995,
			                    "const": 0.5862388895471341,
			                    "max_depth": 2,
			                    "threshold": 0.48704924078795914
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 999,
			                    "const": 0.5894268460891342,
			                    "max_depth": 2,
			                    "threshold": 0.48687280207860456
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 997,
			                    "const": 0.5835001175728058,
			                    "max_depth": 2,
			                    "threshold": 0.4861328298174147
			                },
			                {
			                    "recent_samples_size": 353,
			                    "n_samples": 996,
			                    "const": 0.5798013827999305,
			                    "max_depth": 2,
			                    "threshold": 0.4870261341204427
			                },
			                {
			                    "recent_samples_size": 39,
			                    "n_samples": 995,
			                    "const": 0.595435908728694,
			                    "max_depth": 2,
			                    "threshold": 0.4869311816566706
			                },
			                {
			                    "recent_samples_size": 884,
			                    "n_samples": 997,
			                    "const": 0.570529165546852,
			                    "max_depth": 2,
			                    "threshold": 0.48608859316714736
			                },
			                {
			                    "recent_samples_size": 501,
			                    "n_samples": 997,
			                    "const": 0.5731122411823154,
			                    "max_depth": 2,
			                    "threshold": 0.487029777396165
			                },
			                {
			                    "recent_samples_size": 118,
			                    "n_samples": 997,
			                    "const": 0.5763316175963424,
			                    "max_depth": 2,
			                    "threshold": 0.4875108197258144
			                },
			                {
			                    "recent_samples_size": 249,
			                    "n_samples": 998,
			                    "const": 0.5666195694319581,
			                    "max_depth": 2,
			                    "threshold": 0.4866435671114861
			                },
			                {
			                    "recent_samples_size": 170,
			                    "n_samples": 998,
			                    "const": 0.5700611615450379,
			                    "max_depth": 2,
			                    "threshold": 0.4879165434111901
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 998,
			                    "const": 0.5715064678765227,
			                    "max_depth": 2,
			                    "threshold": 0.4880648755644991
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 998,
			                    "const": 0.5717772175718588,
			                    "max_depth": 2,
			                    "threshold": 0.48786531595867316
			                },
			                {
			                    "recent_samples_size": 103,
			                    "n_samples": 999,
			                    "const": 0.5689451454426581,
			                    "max_depth": 2,
			                    "threshold": 0.48765178878895526
			                },
			                {
			                    "recent_samples_size": 89,
			                    "n_samples": 999,
			                    "const": 0.5657814092398229,
			                    "max_depth": 2,
			                    "threshold": 0.48787630442533064
			                },
			                {
			                    "recent_samples_size": 115,
			                    "n_samples": 999,
			                    "const": 0.5651097309685114,
			                    "max_depth": 2,
			                    "threshold": 0.4881317457217155
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 999,
			                    "const": 0.5617891904544235,
			                    "max_depth": 2,
			                    "threshold": 0.48783216911033855
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 997,
			                    "const": 0.5909862602986541,
			                    "max_depth": 2,
			                    "threshold": 0.48913911018387274
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5599976644248807,
			                    "max_depth": 2,
			                    "threshold": 0.48883343015320524
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5601634250706341,
			                    "max_depth": 2,
			                    "threshold": 0.4886910866154446
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5603043032556646,
			                    "max_depth": 2,
			                    "threshold": 0.4885732406241143
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5604289296452591,
			                    "max_depth": 2,
			                    "threshold": 0.4884595440086995
			                },
			                {
			                    "recent_samples_size": 92,
			                    "n_samples": 1000,
			                    "const": 0.5599391914258853,
			                    "max_depth": 2,
			                    "threshold": 0.4881761757217786
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5607564449007454,
			                    "max_depth": 2,
			                    "threshold": 0.4881939421164412
			                },
			                {
			                    "recent_samples_size": 238,
			                    "n_samples": 1000,
			                    "const": 0.5591521057464988,
			                    "max_depth": 2,
			                    "threshold": 0.4875952681474991
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5610459378259044,
			                    "max_depth": 2,
			                    "threshold": 0.48794175714113425
			                },
			                {
			                    "recent_samples_size": 344,
			                    "n_samples": 1000,
			                    "const": 0.5586231259307989,
			                    "max_depth": 2,
			                    "threshold": 0.4871160437072633
			                },
			                {
			                    "recent_samples_size": 53,
			                    "n_samples": 1000,
			                    "const": 0.5610184927792893,
			                    "max_depth": 2,
			                    "threshold": 0.4875901206102624
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5614936009160394,
			                    "max_depth": 2,
			                    "threshold": 0.48755256450809
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5616422630195825,
			                    "max_depth": 2,
			                    "threshold": 0.4874220659598833
			                },
			                {
			                    "recent_samples_size": 84,
			                    "n_samples": 1000,
			                    "const": 0.5612068303061452,
			                    "max_depth": 2,
			                    "threshold": 0.48714047181931786
			                },
			                {
			                    "recent_samples_size": 173,
			                    "n_samples": 1000,
			                    "const": 0.5606522177655093,
			                    "max_depth": 2,
			                    "threshold": 0.4868244795714193
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5620643922441562,
			                    "max_depth": 2,
			                    "threshold": 0.48703757522551383
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5622024606636471,
			                    "max_depth": 2,
			                    "threshold": 0.4869153150678996
			                },
			                {
			                    "recent_samples_size": 53,
			                    "n_samples": 1000,
			                    "const": 0.5620397024852543,
			                    "max_depth": 2,
			                    "threshold": 0.4866750674826459
			                },
			                {
			                    "recent_samples_size": 131,
			                    "n_samples": 1000,
			                    "const": 0.5615686544391636,
			                    "max_depth": 2,
			                    "threshold": 0.48637783520354494
			                },
			                {
			                    "recent_samples_size": 246,
			                    "n_samples": 1000,
			                    "const": 0.5608115794483741,
			                    "max_depth": 2,
			                    "threshold": 0.4859875527211147
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5627955444329685,
			                    "max_depth": 2,
			                    "threshold": 0.48638045395262075
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5629227952171314,
			                    "max_depth": 2,
			                    "threshold": 0.4862565732655974
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5630654292803403,
			                    "max_depth": 2,
			                    "threshold": 0.4861265523291436
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5632001564894532,
			                    "max_depth": 2,
			                    "threshold": 0.48599537744037485
			                },
			                {
			                    "recent_samples_size": 158,
			                    "n_samples": 1000,
			                    "const": 0.5622452022622829,
			                    "max_depth": 2,
			                    "threshold": 0.48549408840461505
			                },
			                {
			                    "recent_samples_size": 137,
			                    "n_samples": 1000,
			                    "const": 0.5625377934103944,
			                    "max_depth": 2,
			                    "threshold": 0.485415328896952
			                },
			                {
			                    "recent_samples_size": 132,
			                    "n_samples": 1000,
			                    "const": 0.5627169346493973,
			                    "max_depth": 2,
			                    "threshold": 0.48529246082606786
			                },
			                {
			                    "recent_samples_size": 152,
			                    "n_samples": 1000,
			                    "const": 0.5626798926313722,
			                    "max_depth": 2,
			                    "threshold": 0.4851257189842768
			                },
			                {
			                    "recent_samples_size": 67,
			                    "n_samples": 1000,
			                    "const": 0.5634738183792127,
			                    "max_depth": 2,
			                    "threshold": 0.4851947498010436
			                },
			                {
			                    "recent_samples_size": 396,
			                    "n_samples": 1000,
			                    "const": 0.5611285574077822,
			                    "max_depth": 2,
			                    "threshold": 0.48422793722713003
			                },
			                {
			                    "recent_samples_size": 94,
			                    "n_samples": 1000,
			                    "const": 0.5635629263943399,
			                    "max_depth": 2,
			                    "threshold": 0.484847973862704
			                },
			                {
			                    "recent_samples_size": 408,
			                    "n_samples": 1000,
			                    "const": 0.5613247537467705,
			                    "max_depth": 2,
			                    "threshold": 0.48391151390705595
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5644825928632986,
			                    "max_depth": 2,
			                    "threshold": 0.4847861109939864
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5646194940659531,
			                    "max_depth": 2,
			                    "threshold": 0.4846528329525329
			                },
			                {
			                    "recent_samples_size": 416,
			                    "n_samples": 1000,
			                    "const": 0.5616978114169137,
			                    "max_depth": 2,
			                    "threshold": 0.4834561505165154
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5648966399416889,
			                    "max_depth": 2,
			                    "threshold": 0.4843824162627755
			                },
			                {
			                    "recent_samples_size": 44,
			                    "n_samples": 1000,
			                    "const": 0.5647627506953944,
			                    "max_depth": 2,
			                    "threshold": 0.48417015971500243
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5651961094187283,
			                    "max_depth": 2,
			                    "threshold": 0.48409065379808464
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5653312645461431,
			                    "max_depth": 2,
			                    "threshold": 0.48395866725464404
			                },
			                {
			                    "recent_samples_size": 1018,
			                    "n_samples": 1000,
			                    "const": 0.5578442595409561,
			                    "max_depth": 2,
			                    "threshold": 0.48108421712173216
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5656377171980993,
			                    "max_depth": 2,
			                    "threshold": 0.48365708999764934
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5657485784051254,
			                    "max_depth": 2,
			                    "threshold": 0.48354412734361285
			                },
			                {
			                    "recent_samples_size": 168,
			                    "n_samples": 1000,
			                    "const": 0.5647236283106943,
			                    "max_depth": 2,
			                    "threshold": 0.48295639651055505
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5660349793192042,
			                    "max_depth": 2,
			                    "threshold": 0.48325882728792785
			                },
			                {
			                    "recent_samples_size": 392,
			                    "n_samples": 1000,
			                    "const": 0.5633516576395708,
			                    "max_depth": 2,
			                    "threshold": 0.4820231273989797
			                },
			                {
			                    "recent_samples_size": 274,
			                    "n_samples": 1000,
			                    "const": 0.5643571086900372,
			                    "max_depth": 2,
			                    "threshold": 0.48222434604103975
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5664612856410155,
			                    "max_depth": 2,
			                    "threshold": 0.4828300842997498
			                },
			                {
			                    "recent_samples_size": 24,
			                    "n_samples": 1000,
			                    "const": 0.5665282984140435,
			                    "max_depth": 2,
			                    "threshold": 0.4826218545260926
			                },
			                {
			                    "recent_samples_size": 44,
			                    "n_samples": 1000,
			                    "const": 0.5665053003499163,
			                    "max_depth": 2,
			                    "threshold": 0.4824343168631049
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5668947615650458,
			                    "max_depth": 2,
			                    "threshold": 0.48239044822499866
			                },
			                {
			                    "recent_samples_size": 347,
			                    "n_samples": 1000,
			                    "const": 0.5645561945227883,
			                    "max_depth": 2,
			                    "threshold": 0.48124602601333777
			                },
			                {
			                    "recent_samples_size": 61,
			                    "n_samples": 1000,
			                    "const": 0.5668149911674852,
			                    "max_depth": 2,
			                    "threshold": 0.4819398432017098
			                },
			                {
			                    "recent_samples_size": 106,
			                    "n_samples": 1000,
			                    "const": 0.5666322197318594,
			                    "max_depth": 2,
			                    "threshold": 0.48165504923128405
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5674571955949353,
			                    "max_depth": 2,
			                    "threshold": 0.4818104075389169
			                },
			                {
			                    "recent_samples_size": 136,
			                    "n_samples": 1000,
			                    "const": 0.5667181062973715,
			                    "max_depth": 2,
			                    "threshold": 0.4812482730836591
			                },
			                {
			                    "recent_samples_size": 24,
			                    "n_samples": 1000,
			                    "const": 0.5676752276386641,
			                    "max_depth": 2,
			                    "threshold": 0.48144416374828847
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.567920910824313,
			                    "max_depth": 2,
			                    "threshold": 0.4813359201502961
			                },
			                {
			                    "recent_samples_size": 44,
			                    "n_samples": 1000,
			                    "const": 0.5678432751511805,
			                    "max_depth": 2,
			                    "threshold": 0.4810593742708106
			                },
			                {
			                    "recent_samples_size": 345,
			                    "n_samples": 1000,
			                    "const": 0.565816516061027,
			                    "max_depth": 2,
			                    "threshold": 0.4799473354229874
			                },
			                {
			                    "recent_samples_size": 19,
			                    "n_samples": 1000,
			                    "const": 0.5682702385195892,
			                    "max_depth": 2,
			                    "threshold": 0.48084369714369113
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5685294027251708,
			                    "max_depth": 2,
			                    "threshold": 0.480704882901274
			                },
			                {
			                    "recent_samples_size": 44,
			                    "n_samples": 1000,
			                    "const": 0.5683762677039014,
			                    "max_depth": 2,
			                    "threshold": 0.4804917329129974
			                },
			                {
			                    "recent_samples_size": 46,
			                    "n_samples": 1000,
			                    "const": 0.5685770392222657,
			                    "max_depth": 2,
			                    "threshold": 0.48026843627210536
			                },
			                {
			                    "recent_samples_size": 139,
			                    "n_samples": 1000,
			                    "const": 0.5680913355714277,
			                    "max_depth": 2,
			                    "threshold": 0.47977770547365056
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5691748682699963,
			                    "max_depth": 2,
			                    "threshold": 0.48003143224548267
			                },
			                {
			                    "recent_samples_size": 156,
			                    "n_samples": 1000,
			                    "const": 0.5682718456842535,
			                    "max_depth": 2,
			                    "threshold": 0.47939880547344593
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5694428680445215,
			                    "max_depth": 2,
			                    "threshold": 0.47974329543869204
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5696212343022765,
			                    "max_depth": 2,
			                    "threshold": 0.4795525955239909
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5697589898997547,
			                    "max_depth": 2,
			                    "threshold": 0.47940461511352106
			                },
			                {
			                    "recent_samples_size": 423,
			                    "n_samples": 1000,
			                    "const": 0.5670524604990842,
			                    "max_depth": 2,
			                    "threshold": 0.4777645613829412
			                },
			                {
			                    "recent_samples_size": 152,
			                    "n_samples": 1000,
			                    "const": 0.5690727011463717,
			                    "max_depth": 2,
			                    "threshold": 0.47858184575618934
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5702624929196524,
			                    "max_depth": 2,
			                    "threshold": 0.4788733592055581
			                },
			                {
			                    "recent_samples_size": 427,
			                    "n_samples": 1000,
			                    "const": 0.567545639619241,
			                    "max_depth": 2,
			                    "threshold": 0.47718298050715185
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.570610680576908,
			                    "max_depth": 2,
			                    "threshold": 0.4785021820129727
			                },
			                {
			                    "recent_samples_size": 192,
			                    "n_samples": 1000,
			                    "const": 0.5695138126775079,
			                    "max_depth": 2,
			                    "threshold": 0.47766862592336073
			                },
			                {
			                    "recent_samples_size": 24,
			                    "n_samples": 1000,
			                    "const": 0.5708625312970046,
			                    "max_depth": 2,
			                    "threshold": 0.478077820425797
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5710993421819197,
			                    "max_depth": 2,
			                    "threshold": 0.47797405428331297
			                },
			                {
			                    "recent_samples_size": 25,
			                    "n_samples": 1000,
			                    "const": 0.5711858283378393,
			                    "max_depth": 2,
			                    "threshold": 0.4777163984131427
			                },
			                {
			                    "recent_samples_size": 84,
			                    "n_samples": 1000,
			                    "const": 0.5709381228173568,
			                    "max_depth": 2,
			                    "threshold": 0.4773261270993507
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5716187416796311,
			                    "max_depth": 2,
			                    "threshold": 0.47741265378467945
			                },
			                {
			                    "recent_samples_size": 81,
			                    "n_samples": 1000,
			                    "const": 0.5713285871116895,
			                    "max_depth": 2,
			                    "threshold": 0.47693653386664664
			                },
			                {
			                    "recent_samples_size": 539,
			                    "n_samples": 1000,
			                    "const": 0.5683945157151971,
			                    "max_depth": 2,
			                    "threshold": 0.47496902762306253
			                },
			                {
			                    "recent_samples_size": 255,
			                    "n_samples": 1000,
			                    "const": 0.5705208236424765,
			                    "max_depth": 2,
			                    "threshold": 0.4758623580824388
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5723053796827612,
			                    "max_depth": 2,
			                    "threshold": 0.4766618051028178
			                },
			                {
			                    "recent_samples_size": 254,
			                    "n_samples": 1000,
			                    "const": 0.5709028976117928,
			                    "max_depth": 2,
			                    "threshold": 0.47545253508721047
			                },
			                {
			                    "recent_samples_size": 263,
			                    "n_samples": 1000,
			                    "const": 0.5710390569876971,
			                    "max_depth": 2,
			                    "threshold": 0.4752181392093871
			                },
			                {
			                    "recent_samples_size": 124,
			                    "n_samples": 1000,
			                    "const": 0.5721323383159741,
			                    "max_depth": 2,
			                    "threshold": 0.47556739315325663
			                },
			                {
			                    "recent_samples_size": 351,
			                    "n_samples": 1000,
			                    "const": 0.5708317522558329,
			                    "max_depth": 2,
			                    "threshold": 0.4744237978858684
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5732556497964183,
			                    "max_depth": 2,
			                    "threshold": 0.47562042252639053
			                },
			                {
			                    "recent_samples_size": 277,
			                    "n_samples": 1000,
			                    "const": 0.5717210554766147,
			                    "max_depth": 2,
			                    "threshold": 0.4742826488027758
			                },
			                {
			                    "recent_samples_size": 113,
			                    "n_samples": 1000,
			                    "const": 0.5730080337551439,
			                    "max_depth": 2,
			                    "threshold": 0.4747292152775097
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 1000,
			                    "const": 0.5738408692422862,
			                    "max_depth": 2,
			                    "threshold": 0.47497520237099966
			                },
			                {
			                    "recent_samples_size": 22,
			                    "n_samples": 1000,
			                    "const": 0.5739584932729642,
			                    "max_depth": 2,
			                    "threshold": 0.47470762972322234
			                },
			                {
			                    "recent_samples_size": 250,
			                    "n_samples": 1000,
			                    "const": 0.5727159988149733,
			                    "max_depth": 2,
			                    "threshold": 0.4734827262082111
			                },
			                {
			                    "recent_samples_size": 2478,
			                    "n_samples": 145,
			                    "const": 0.6288780121225093,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 3305,
			                    "n_samples": 144,
			                    "const": 0.6302992196945869,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 1371,
			                    "n_samples": 144,
			                    "const": 0.6332211234926614,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 3421,
			                    "n_samples": 143,
			                    "const": 0.6346702394634174,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 2516,
			                    "n_samples": 100,
			                    "const": 0.7482731580507966,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 2023,
			                    "n_samples": 100,
			                    "const": 0.7488504544938495,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 2678,
			                    "n_samples": 100,
			                    "const": 0.74906409420303,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 1872,
			                    "n_samples": 100,
			                    "const": 0.7497453147069172,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 2919,
			                    "n_samples": 100,
			                    "const": 0.7498324543785212,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 1730,
			                    "n_samples": 100,
			                    "const": 0.7506204197322872,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 1209,
			                    "n_samples": 100,
			                    "const": 0.7512016772972009,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 2032,
			                    "n_samples": 100,
			                    "const": 0.7513536857200801,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 612,
			                    "n_samples": 100,
			                    "const": 0.7522174213513396,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 728,
			                    "n_samples": 100,
			                    "const": 0.7525878751207381,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 700,
			                    "n_samples": 100,
			                    "const": 0.7530023109556554,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 193,
			                    "n_samples": 100,
			                    "const": 0.7535736885833898,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 1050,
			                    "n_samples": 100,
			                    "const": 0.7537054081193658,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 1809,
			                    "n_samples": 100,
			                    "const": 0.7538707382289971,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 130,
			                    "n_samples": 100,
			                    "const": 0.7548021940630586,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 1277,
			                    "n_samples": 100,
			                    "const": 0.7548433518342729,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 2140,
			                    "n_samples": 100,
			                    "const": 0.754977638711739,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 125,
			                    "n_samples": 100,
			                    "const": 0.7560008590714677,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 10,
			                    "n_samples": 100,
			                    "const": 0.756438371470718,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 503,
			                    "n_samples": 100,
			                    "const": 0.7566771238733794,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 46,
			                    "n_samples": 100,
			                    "const": 0.7572134912223064,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 592,
			                    "n_samples": 100,
			                    "const": 0.7574407760863835,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 234,
			                    "n_samples": 100,
			                    "const": 0.7579387342553936,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 57,
			                    "n_samples": 100,
			                    "const": 0.7583867420725098,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 177,
			                    "n_samples": 100,
			                    "const": 0.7587444130889945,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 1161,
			                    "n_samples": 100,
			                    "const": 0.7588376543705866,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 66,
			                    "n_samples": 100,
			                    "const": 0.7595613800056772,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 770,
			                    "n_samples": 100,
			                    "const": 0.7597392877983706,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 576,
			                    "n_samples": 100,
			                    "const": 0.7601873556789617,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 330,
			                    "n_samples": 100,
			                    "const": 0.7606498845838972,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 61,
			                    "n_samples": 100,
			                    "const": 0.7611196736518424,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                },
			                {
			                    "recent_samples_size": 903,
			                    "n_samples": 100,
			                    "const": 0.7612574689880655,
			                    "max_depth": 2,
			                    "threshold": 0.8
			                }
			            ],
			            "means": {
			                "RUNTIME": [
			                    640.9319068796161,
			                    313.5268052644135,
			                    312.30558803190274,
			                    312.30207517327176,
			                    312.3270343486799,
			                    312.44899889254134,
			                    312.1647811726141,
			                    312.475750800215,
			                    312.2403744833166,
			                    311.925747510432,
			                    311.95822775725446,
			                    312.44423679801304,
			                    312.55027455347323,
			                    312.5599831127804,
			                    312.20139372833665,
			                    312.1340538574533,
			                    311.8736619859307,
			                    311.9627498983031,
			                    312.4859271083263,
			                    312.2533288172304,
			                    312.1699946030036,
			                    312.21853897426524,
			                    312.0315448975582,
			                    312.21876273513067,
			                    311.3557783986696,
			                    310.3708368967609,
			                    306.981606557875,
			                    303.5782140527029,
			                    301.5611070183903,
			                    299.1869935998264,
			                    296.6444805307797,
			                    294.8216693822369,
			                    138.13794606497788,
			                    291.2544923777707,
			                    289.70732813091377,
			                    288.19667274110486,
			                    137.22561841361278,
			                    285.6155907912258,
			                    283.1437961874519,
			                    280.3272716376316,
			                    277.9838490842064,
			                    137.28955694653285,
			                    136.12999461643773,
			                    136.49205074162978,
			                    137.3300130484278,
			                    137.20013606837603,
			                    135.73538825696215,
			                    135.92047047780082,
			                    137.41509184521328,
			                    135.92079904688737,
			                    135.49182880169855,
			                    136.46415094356314,
			                    135.8317644101208,
			                    135.64402119708058,
			                    133.86711251634898,
			                    134.59460174353393,
			                    135.4772510818962,
			                    135.37625746751405,
			                    135.9106344122822,
			                    135.32906191039393,
			                    134.75828123427686,
			                    134.58204452359172,
			                    134.46656979000028,
			                    134.23163398270208,
			                    134.2311527540397,
			                    133.99773753005792,
			                    133.9781644999693,
			                    134.01686233084484,
			                    133.86426059804427,
			                    134.60297988764464,
			                    133.49658563727394,
			                    133.49631818765073,
			                    133.4960972358345,
			                    133.49588724056633,
			                    133.6148455036368,
			                    133.49539364116873,
			                    133.82788427537244,
			                    133.4949340236326,
			                    133.98355342793792,
			                    133.55687467036296,
			                    133.49423402084594,
			                    133.49400213021312,
			                    133.60127670399362,
			                    133.7309376448924,
			                    133.49332902329607,
			                    133.4931166595984,
			                    133.55526032304323,
			                    133.66861928884714,
			                    133.83675353395432,
			                    133.49220254641375,
			                    133.4919954304927,
			                    133.49177785842977,
			                    133.4915610101512,
			                    133.70664160134115,
			                    133.6757630323192,
			                    133.66824442198072,
			                    133.69724267020848,
			                    133.57318473776462,
			                    134.05553821830665,
			                    133.612000808233,
			                    134.0728310969469,
			                    133.48961514775598,
			                    133.48940783283314,
			                    134.08396806979516,
			                    133.4889912329064,
			                    133.53808462650042,
			                    133.48854762838454,
			                    133.48834901741316,
			                    134.98951574461637,
			                    133.48790022966847,
			                    133.4877342910708,
			                    133.71727447478406,
			                    133.48731849953452,
			                    134.0460797936453,
			                    133.8719221066616,
			                    133.48670513412392,
			                    133.50673841472627,
			                    133.53554203915377,
			                    133.4860902825351,
			                    133.97827021595077,
			                    133.55958759285068,
			                    133.6247717387971,
			                    133.48530122835356,
			                    133.66802549614357,
			                    133.50513449152604,
			                    133.48467324005466,
			                    133.5336859036543,
			                    133.97350063728487,
			                    133.49710105687444,
			                    133.48386375481505,
			                    133.53296071901866,
			                    133.5355872134841,
			                    133.6704968853955,
			                    133.48303149926102,
			                    133.69487683538551,
			                    133.4826859787989,
			                    133.48246044406343,
			                    133.4822872613477,
			                    134.0862405331077,
			                    133.68805033471338,
			                    133.48167757202555,
			                    134.09147579890464,
			                    133.48126376260996,
			                    133.7455308803943,
			                    133.5011022807776,
			                    133.48069229784846,
			                    133.5021682256907,
			                    133.58748006860375,
			                    133.4801064494324,
			                    133.58271137477442,
			                    134.25568596584029,
			                    133.8360142065342,
			                    133.47935824962758,
			                    133.834133084006,
			                    133.84712480049882,
			                    133.64399484293443,
			                    133.97599355483428,
			                    133.47838651193547,
			                    133.8668185512913,
			                    133.62720117440142,
			                    133.47782302663433,
			                    133.4949789055533,
			                    133.82644625366797,
			                    73.83372717594924,
			                    73.54781318902297,
			                    72.8728421249925,
			                    72.9784662814161,
			                    44.10286198721553,
			                    43.88317966129557,
			                    44.17767463825359,
			                    43.819102754188634,
			                    44.2964562109903,
			                    43.76140324470674,
			                    43.57914344929918,
			                    43.87848713969768,
			                    43.40908277575099,
			                    43.43718320460903,
			                    43.42889285182133,
			                    43.313562809501434,
			                    43.523634021073605,
			                    43.78266638972818,
			                    43.29870990682227,
			                    43.591540727319824,
			                    43.91496943162332,
			                    43.29543307603862,
			                    43.27402478549266,
			                    43.37333472182314,
			                    43.27912941284899,
			                    43.39333771820591,
			                    43.3136003454199,
			                    43.27962038888322,
			                    43.30154616091551,
			                    43.54905345622555,
			                    43.28017622478882,
			                    43.43617473799654,
			                    43.386999252111394,
			                    43.33120035453058,
			                    43.2785097166298,
			                    43.47174232550333
			                ],
			                "ACCURACY": [
			                    0.8437489516739168,
			                    0.8436237721557782,
			                    0.8436225200183591,
			                    0.8436223916461022,
			                    0.8436232813027976,
			                    0.8436269270916852,
			                    0.843616491344532,
			                    0.8436275830697183,
			                    0.8436199605409059,
			                    0.8436010314404773,
			                    0.8436036149418317,
			                    0.8436268051833408,
			                    0.843629163391634,
			                    0.843629343707791,
			                    0.8436182428626329,
			                    0.8436149115295783,
			                    0.8435964942821685,
			                    0.8436039607376056,
			                    0.8436278199646268,
			                    0.8436204993984735,
			                    0.8436167492575468,
			                    0.843619016496208,
			                    0.8436088352317975,
			                    0.8436190264023337,
			                    0.8436239027537568,
			                    0.8436091842411717,
			                    0.8435936149916983,
			                    0.8435592595570012,
			                    0.8435714859310046,
			                    0.8435580964294344,
			                    0.8435306513300992,
			                    0.843524842009796,
			                    0.8422198570856448,
			                    0.8434949226166072,
			                    0.8434717045829441,
			                    0.843454120433462,
			                    0.8422121877657374,
			                    0.8434602786897517,
			                    0.8434223438523581,
			                    0.8434033862009814,
			                    0.8434085067197321,
			                    0.8422123285684872,
			                    0.8422071767377644,
			                    0.84220811139463,
			                    0.8422144654441527,
			                    0.8422095804559743,
			                    0.8422035334764367,
			                    0.8422040914195744,
			                    0.8422098485338884,
			                    0.8422040541849621,
			                    0.842193035274001,
			                    0.8422052678041296,
			                    0.8422008933062495,
			                    0.8422004347836295,
			                    0.8421809861373926,
			                    0.8421909297250013,
			                    0.842196767818759,
			                    0.8421996818312593,
			                    0.8421938297130305,
			                    0.8421927876029128,
			                    0.8421914383926214,
			                    0.8421871356157697,
			                    0.8421868662637735,
			                    0.8421862340427382,
			                    0.8421862275393186,
			                    0.8421814774287603,
			                    0.842181440568271,
			                    0.8421815513252717,
			                    0.8421811364635757,
			                    0.8421909709378745,
			                    0.84217571875231,
			                    0.8421757146518382,
			                    0.8421757112042297,
			                    0.8421757078764587,
			                    0.8421760288503889,
			                    0.8421756998542511,
			                    0.842176564963814,
			                    0.8421756921250451,
			                    0.8421769257776069,
			                    0.8421758555091085,
			                    0.8421756798542461,
			                    0.842175675652025,
			                    0.8421759644830503,
			                    0.8421762982293179,
			                    0.8421756630522831,
			                    0.8421756589495443,
			                    0.8421758252738252,
			                    0.8421761223498104,
			                    0.8421765400354909,
			                    0.8421756405589346,
			                    0.8421756362216921,
			                    0.8421756315952292,
			                    0.8421756269113848,
			                    0.8421761941156435,
			                    0.8421761107016271,
			                    0.842176086796982,
			                    0.8421761573765096,
			                    0.8421758278591231,
			                    0.8421769971626434,
			                    0.842175921544129,
			                    0.8421770243451597,
			                    0.8421755814080333,
			                    0.8421755761660957,
			                    0.8421770319318963,
			                    0.8421755653852226,
			                    0.8421756951846489,
			                    0.8421755535305296,
			                    0.8421755480933878,
			                    0.8421785623912553,
			                    0.8421755355018966,
			                    0.8421755307360892,
			                    0.8421761294624112,
			                    0.842175518524045,
			                    0.8421768887182313,
			                    0.8421764881145283,
			                    0.8421754997742033,
			                    0.8421755477572264,
			                    0.8421756204814966,
			                    0.8421754800471875,
			                    0.8421766990670927,
			                    0.8421756661464876,
			                    0.8421758310725945,
			                    0.8421754532587878,
			                    0.8421759282996708,
			                    0.8421754931516802,
			                    0.8421754306592578,
			                    0.8421755557033459,
			                    0.8421766274412716,
			                    0.8421754436049146,
			                    0.8421753996959422,
			                    0.8421755275494847,
			                    0.8421755242720248,
			                    0.8421758659466271,
			                    0.8421753654859793,
			                    0.8421759112522977,
			                    0.8421753505082253,
			                    0.8421753404691277,
			                    0.8421753326142252,
			                    0.8421767720682053,
			                    0.8421758516230342,
			                    0.8421753038961174,
			                    0.8421767515144709,
			                    0.8421752833958955,
			                    0.8421759516704945,
			                    0.8421753168581557,
			                    0.8421752536169038,
			                    0.8421753002381975,
			                    0.8421755148729648,
			                    0.8421752211421393,
			                    0.8421754798728079,
			                    0.8421769717487153,
			                    0.8421760757795097,
			                    0.842175176420595,
			                    0.842176046324734,
			                    0.842176063924542,
			                    0.8421755645925064,
			                    0.8421763229839095,
			                    0.8421751119030876,
			                    0.8421760532673428,
			                    0.8421754676255084,
			                    0.8421750704868227,
			                    0.8421751022035223,
			                    0.8421759014352822,
			                    0.837221026778588,
			                    0.8371980392659661,
			                    0.837130537451809,
			                    0.8371473029282387,
			                    0.83429919768224,
			                    0.8342777984905129,
			                    0.834306225584873,
			                    0.8342713082318968,
			                    0.834317148851356,
			                    0.8342653324193909,
			                    0.8342455235664543,
			                    0.8342772641767886,
			                    0.8342249655192908,
			                    0.8342285645243606,
			                    0.8342275056014475,
			                    0.8342117635045937,
			                    0.8342390046114999,
			                    0.8342672891770603,
			                    0.8342095145193231,
			                    0.834246662725629,
			                    0.8342804652145207,
			                    0.8342089414784485,
			                    0.8342055608834101,
			                    0.8342199364344511,
			                    0.8342062819787903,
			                    0.8342224509332277,
			                    0.8342113854061276,
			                    0.8342061684092926,
			                    0.8342094446381091,
			                    0.8342410592624616,
			                    0.8342059995593073,
			                    0.8342273665280616,
			                    0.8342209604574895,
			                    0.8342132467984338,
			                    0.8342053021186016,
			                    0.8342312530240605
			                ]
			            },
			            "sems": {
			                "RUNTIME": [
			                    36.14874824236644,
			                    14.89282674305881,
			                    14.768822325943702,
			                    14.765025923530994,
			                    14.793164158616833,
			                    14.966557557507054,
			                    14.663069417206062,
			                    15.011794693581201,
			                    14.707563556243585,
			                    14.762214537740078,
			                    14.722997235829315,
			                    14.958758531716304,
			                    15.149824246770306,
			                    15.169027343518914,
			                    14.68083549902713,
			                    14.654018275954028,
			                    14.845863236191901,
			                    14.718273432033397,
			                    15.02962278014417,
			                    14.718135519860525,
			                    14.665146068121823,
			                    14.69163139509972,
			                    14.666969355351974,
			                    14.691782390158378,
			                    15.107304359940498,
			                    14.50437583638099,
			                    14.171701088613842,
			                    13.91412380584061,
			                    14.109974865096506,
			                    13.970953737423,
			                    13.234883441332565,
			                    13.172744003138387,
			                    8.067142325829032,
			                    12.872996132639214,
			                    12.966795025602222,
			                    13.067739694888093,
			                    8.01045504492033,
			                    12.480844698107646,
			                    12.495488689393188,
			                    12.199578812015872,
			                    12.424828576719118,
			                    7.992382002723167,
			                    8.349534122767004,
			                    8.178957700554943,
			                    8.087151154522958,
			                    7.912392475444347,
			                    8.380856540349162,
			                    8.300357026456611,
			                    7.837982759953713,
			                    8.29385882327654,
			                    8.10460674535475,
			                    8.054460082115806,
			                    8.195191699043551,
			                    8.27780915445066,
			                    8.591360610087369,
			                    8.496478538777652,
			                    8.22192453610296,
			                    8.399454319645274,
			                    7.977148675471431,
			                    8.171951858076156,
			                    8.421335764955753,
			                    8.375580481542217,
			                    8.430726678252519,
			                    8.546973510839443,
			                    8.54666732944038,
			                    8.529541717146714,
			                    8.54016509068499,
			                    8.521807870259883,
			                    8.598335552029386,
			                    8.496695986669256,
			                    8.657903868681338,
			                    8.657744935635167,
			                    8.65761292407486,
			                    8.657483603173661,
			                    8.597013022525243,
			                    8.657182603922635,
			                    8.494994117698964,
			                    8.656890999804627,
			                    8.425589542497965,
			                    8.624662834817308,
			                    8.656434366882118,
			                    8.65627932286243,
			                    8.601585136943394,
			                    8.538314861886466,
			                    8.655816172737147,
			                    8.655667581087211,
			                    8.623569489157486,
			                    8.56711943571137,
			                    8.487801791265738,
			                    8.655007755358158,
			                    8.654852349921716,
			                    8.654688875039415,
			                    8.654522700317873,
			                    8.547108904282451,
			                    8.56170385948011,
			                    8.565069571391527,
			                    8.550827524878914,
			                    8.611493150557607,
			                    8.38992962501192,
			                    8.591535085006173,
			                    8.382235006722272,
			                    8.652953173078458,
			                    8.652775809501096,
			                    8.37682548014394,
			                    8.652413387701316,
			                    8.626953586992348,
			                    8.652018524603243,
			                    8.651838593607687,
			                    8.080550807003645,
			                    8.651424462764558,
			                    8.651268339377832,
			                    8.536851290527963,
			                    8.65087133116893,
			                    8.389535554239536,
			                    8.464500516132638,
			                    8.65026790336945,
			                    8.639565738645533,
			                    8.62454794351002,
			                    8.649640732128827,
			                    8.416360076261908,
			                    8.611408819240621,
			                    8.578572538111011,
			                    8.648800687461577,
			                    8.556755542074063,
			                    8.637860989641764,
			                    8.648102312458645,
			                    8.622548314407789,
			                    8.415777764443451,
			                    8.640678198891903,
			                    8.647158911213015,
			                    8.621700354336099,
			                    8.619895501355884,
			                    8.552473851646763,
			                    8.646133504338723,
			                    8.540034315070926,
			                    8.645689749719883,
			                    8.645394043501243,
			                    8.645163611641433,
			                    8.36470109922647,
			                    8.541560063423335,
			                    8.644327676392315,
			                    8.361423236557071,
			                    8.643737057118308,
			                    8.51256500190197,
			                    8.632666809028041,
			                    8.64288782306494,
			                    8.631342611801799,
			                    8.587683974706689,
			                    8.641972534540011,
			                    8.589206277584463,
			                    8.293452955509062,
			                    8.46741049464402,
			                    8.640729666168347,
			                    8.46739556357644,
			                    8.461083399176854,
			                    8.556290944213295,
			                    8.403421792122485,
			                    8.638968641722418,
			                    8.450368882732016,
			                    8.562638345793575,
			                    8.637856489552716,
			                    8.628492924887272,
			                    8.466701013608553,
			                    6.053395409579521,
			                    6.514412951711863,
			                    5.992516636813368,
			                    6.589275472826196,
			                    9.247862304226409,
			                    9.22399662507919,
			                    9.275840613891637,
			                    9.235551970235521,
			                    9.33749825628492,
			                    9.254900092195466,
			                    9.39812423055599,
			                    9.220416064681668,
			                    9.689648926499643,
			                    9.622270741916601,
			                    9.637654523298695,
			                    9.969266029504238,
			                    9.460734987772042,
			                    9.239220173229114,
			                    10.015664355838108,
			                    9.369994452881313,
			                    9.21398673217665,
			                    10.018786362385146,
			                    10.10824050614986,
			                    9.753839087339337,
			                    10.079390928635735,
			                    9.69818756216334,
			                    9.936822526297352,
			                    10.070353254915299,
			                    9.978530449960644,
			                    9.411369298016416,
			                    10.063036450973645,
			                    9.595180274488625,
			                    9.70712657932843,
			                    9.867936083009583,
			                    10.066766481239554,
			                    9.525977211534414
			                ],
			                "ACCURACY": [
			                    0.000993730118975454,
			                    0.0009523601418418212,
			                    0.0009469292923057072,
			                    0.0009467401533174793,
			                    0.0009481347354699165,
			                    0.0009565157401570132,
			                    0.0009413682348126566,
			                    0.0009586692030125863,
			                    0.0009438194283714131,
			                    0.0009440679276915381,
			                    0.0009425758522839823,
			                    0.0009561435194174572,
			                    0.0009651956911782622,
			                    0.000966099692913237,
			                    0.0009423908386420724,
			                    0.0009407648916929547,
			                    0.000947372826656903,
			                    0.0009424003998793311,
			                    0.0009595155704376737,
			                    0.0009443676880390507,
			                    0.0009414941372143462,
			                    0.0009429774215527185,
			                    0.0009406308018755447,
			                    0.0009429855162717196,
			                    0.0009639764809302862,
			                    0.0009374532597216784,
			                    0.0009348560880929643,
			                    0.0009302655314955027,
			                    0.0009506293478307374,
			                    0.0009506594221067821,
			                    0.0009201296252398069,
			                    0.0009228898724186469,
			                    0.0005884807515725814,
			                    0.0009151223003484964,
			                    0.0009189769176144473,
			                    0.0009246067411347017,
			                    0.0005686287828616926,
			                    0.0009034441221001906,
			                    0.0009020634361488539,
			                    0.0008899734635317987,
			                    0.0009031965919594697,
			                    0.0005675124560823493,
			                    0.0005784915654649933,
			                    0.0005710041074793881,
			                    0.0005773143097086924,
			                    0.0005595664847053592,
			                    0.0005763004749206674,
			                    0.0005725464190213072,
			                    0.0005566806901850574,
			                    0.0005723379635496749,
			                    0.0005596607312757007,
			                    0.0005619912959419024,
			                    0.0005653060392523556,
			                    0.0005689366213299477,
			                    0.0005846330883621023,
			                    0.0005768262197278129,
			                    0.0005649272740213763,
			                    0.0005745916016344324,
			                    0.0005542667307557788,
			                    0.0005624999886407697,
			                    0.0005733928214694315,
			                    0.0005724774510007529,
			                    0.0005748686243963222,
			                    0.0005800001332409734,
			                    0.0005799890328129117,
			                    0.000581722894717325,
			                    0.0005822122391554107,
			                    0.0005814077389487898,
			                    0.0005848345745117833,
			                    0.0005769816357513243,
			                    0.000591439289371945,
			                    0.0005914320794231258,
			                    0.0005914260061633122,
			                    0.0005914202726881982,
			                    0.0005887821948871293,
			                    0.0005914061761444716,
			                    0.0005843620782728175,
			                    0.00059139289872389,
			                    0.0005813795603572795,
			                    0.0005899842737301738,
			                    0.0005913719889948633,
			                    0.0005913648882005183,
			                    0.000588977028082417,
			                    0.0005862284643024391,
			                    0.0005913438668821405,
			                    0.0005913370264555081,
			                    0.0005899336064730237,
			                    0.0005874749517328717,
			                    0.0005840413137363292,
			                    0.0005913066759229136,
			                    0.0005912996495192282,
			                    0.0005912920963581552,
			                    0.0005912845429453064,
			                    0.0005866015659604739,
			                    0.0005872345485515516,
			                    0.0005873800509070745,
			                    0.0005867607881291577,
			                    0.0005894009495559789,
			                    0.0005798277587412762,
			                    0.000588529033192455,
			                    0.0005794958952861356,
			                    0.0005912116574319906,
			                    0.000591203382535931,
			                    0.0005792596200282689,
			                    0.000591186417104853,
			                    0.0005900713004781111,
			                    0.0005911678307561414,
			                    0.0005911593325799949,
			                    0.0005669231696245902,
			                    0.000591139723915117,
			                    0.0005911323478357911,
			                    0.0005861380195306029,
			                    0.0005911134483221392,
			                    0.000579782186026946,
			                    0.0005830016224789228,
			                    0.0005910845774337005,
			                    0.0005906142618243667,
			                    0.0005899555509823744,
			                    0.0005910543690457954,
			                    0.0005809191868226285,
			                    0.0005893771731478824,
			                    0.0005879410885506714,
			                    0.0005910136175966678,
			                    0.0005869867050617598,
			                    0.000590531148380224,
			                    0.0005909793906719002,
			                    0.0005898571071711286,
			                    0.0005808741283977484,
			                    0.0005906499233303091,
			                    0.0005909327772889295,
			                    0.0005898148013613991,
			                    0.0005897335059973692,
			                    0.0005867834657327875,
			                    0.0005908815800328895,
			                    0.0005862371042173067,
			                    0.0005908592887552828,
			                    0.0005908443692608612,
			                    0.0005908327130683241,
			                    0.0005786458206417463,
			                    0.0005862921053919612,
			                    0.0005907901622787095,
			                    0.0005784931293764399,
			                    0.0005907598994651417,
			                    0.0005850167841581494,
			                    0.0005902685193632546,
			                    0.0005907160972054619,
			                    0.0005902056500064346,
			                    0.0005882865601995505,
			                    0.0005906684944992688,
			                    0.0005883471589512718,
			                    0.000575544506782522,
			                    0.0005830243653815969,
			                    0.0005906032253343304,
			                    0.000583015019352272,
			                    0.0005827365628087259,
			                    0.0005868843270029271,
			                    0.0005802287042522452,
			                    0.000590509546587382,
			                    0.0005822513112279073,
			                    0.000587145541263188,
			                    0.0005904496890231105,
			                    0.0005900330552237936,
			                    0.0005829393518244777,
			                    0.0005487058690865659,
			                    0.0005695620168690945,
			                    0.0005429288620584104,
			                    0.0005738687395517498,
			                    0.0007504986373523584,
			                    0.0007491778729590795,
			                    0.0007518216865302077,
			                    0.0007495758797655806,
			                    0.0007544756488145039,
			                    0.0007502681359971244,
			                    0.0007551451505392765,
			                    0.0007494078161498413,
			                    0.0007656685938812353,
			                    0.000763278606183916,
			                    0.0007638874388787875,
			                    0.0007761267506159045,
			                    0.000757662267849715,
			                    0.0007502067466672933,
			                    0.000778007285517177,
			                    0.0007546441018221604,
			                    0.0007497594120788156,
			                    0.0007782680640524369,
			                    0.0007816672848727114,
			                    0.0007685625602607249,
			                    0.00078067543945264,
			                    0.0007666247940156337,
			                    0.0007754447362427454,
			                    0.0007804700875897044,
			                    0.0007770841318994567,
			                    0.0007565513599789936,
			                    0.0007803257334359963,
			                    0.000763163978150874,
			                    0.0007672583877817346,
			                    0.0007731963595071845,
			                    0.0007806309769352712,
			                    0.0007608543609473034
			                ]
			            },
			            "absolute_metrics": [
			                "ACCURACY",
			                "RUNTIME"
			            ]
			        }
			    }
			};
			var tab_results_headers_json = [
			    "trial_index",
			    "arm_name",
			    "trial_status",
			    "generation_method",
			    "generation_node",
			    "ACCURACY",
			    "RUNTIME",
			    "recent_samples_size",
			    "n_samples",
			    "const",
			    "max_depth",
			    "threshold"
			];
			var tab_results_csv_json = [
			    [
			        0,
			        "0_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        616.1660788059235,
			        2696,
			        927,
			        0.5090987265110016,
			        4,
			        0.3499073386192322
			    ],
			    [
			        1,
			        "1_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        431.64061164855957,
			        923,
			        523,
			        0.9831574481911958,
			        3,
			        0.5999015916138888
			    ],
			    [
			        2,
			        "2_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        366.7409174442291,
			        1720,
			        688,
			        0.23298894120380284,
			        3,
			        0.7340984815731646
			    ],
			    [
			        3,
			        "3_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8401191658391262,
			        229.5795419216156,
			        3929,
			        283,
			        0.7002352853305638,
			        2,
			        0.47784195169806487
			    ],
			    [
			        4,
			        "4_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        208.52944469451904,
			        3184,
			        639,
			        0.8486714848317206,
			        2,
			        0.35062660034745935
			    ],
			    [
			        5,
			        "5_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8368090036411784,
			        606.1629612445831,
			        1464,
			        135,
			        0.42207285827025776,
			        4,
			        0.6996442880481483
			    ],
			    [
			        6,
			        "6_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        171.51833772659302,
			        172,
			        849,
			        0.5692640886642039,
			        2,
			        0.5663607092574239
			    ],
			    [
			        7,
			        "7_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        944.0722455978394,
			        2453,
			        347,
			        0.13541704704985025,
			        4,
			        0.22162761688232424
			    ],
			    [
			        8,
			        "8_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        678.4514284133911,
			        2038,
			        723,
			        0.6240781655535101,
			        4,
			        0.638501181639731
			    ],
			    [
			        9,
			        "9_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8404501820589209,
			        240.1519639492035,
			        333,
			        220,
			        0.19308231547474863,
			        2,
			        0.30885671302676204
			    ],
			    [
			        10,
			        "10_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        455.7676753997803,
			        1068,
			        991,
			        0.7912105051800609,
			        4,
			        0.44151780586689715
			    ],
			    [
			        11,
			        "11_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        467.4655792713165,
			        3334,
			        487,
			        0.367027023434639,
			        3,
			        0.7681226510554553
			    ],
			    [
			        12,
			        "12_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        339.2506830692291,
			        3591,
			        787,
			        0.28889640383422377,
			        3,
			        0.6609275938943029
			    ],
			    [
			        13,
			        "13_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        909.8219614028931,
			        1803,
			        381,
			        0.7568071680143476,
			        4,
			        0.3916346877813339
			    ],
			    [
			        14,
			        "14_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        222.84294080734253,
			        574,
			        603,
			        0.45229509510099886,
			        2,
			        0.25798718687146904
			    ],
			    [
			        15,
			        "15_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        557.1922686100006,
			        2799,
			        199,
			        0.9274542743340135,
			        3,
			        0.5324435945600272
			    ],
			    [
			        16,
			        "16_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        233.26186418533325,
			        2901,
			        564,
			        0.17236955650150776,
			        2,
			        0.4869190493598581
			    ],
			    [
			        17,
			        "17_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8417742469381,
			        810.4430084228516,
			        747,
			        158,
			        0.6484093585982919,
			        4,
			        0.760167620331049
			    ],
			    [
			        18,
			        "18_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        176.53107810020447,
			        1888,
			        830,
			        0.34295701049268246,
			        2,
			        0.590226255171001
			    ],
			    [
			        19,
			        "19_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.8421052631578947,
			        491.4299852848053,
			        3730,
			        427,
			        0.8117449643090368,
			        3,
			        0.3197243366390467
			    ],
			    [
			        20,
			        "20_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        184.94466423988342,
			        3306,
			        945,
			        0.6994913128714735,
			        2,
			        0.794471654444349
			    ],
			    [
			        21,
			        "21_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        143.8259561061859,
			        1995,
			        959,
			        0.9645108432916966,
			        2,
			        0.8
			    ],
			    [
			        22,
			        "22_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        210.2402958869934,
			        1347,
			        650,
			        0.3821901343407392,
			        2,
			        0.8
			    ],
			    [
			        23,
			        "23_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        187.0186150074005,
			        3520,
			        762,
			        0.46951434066395736,
			        2,
			        0.8
			    ],
			    [
			        24,
			        "24_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        249.41503953933716,
			        2857,
			        424,
			        0.9443654508526229,
			        2,
			        0.2
			    ],
			    [
			        25,
			        "25_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        167.93289399147034,
			        10,
			        876,
			        1,
			        2,
			        0.2
			    ],
			    [
			        26,
			        "26_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        217.82077050209045,
			        2802,
			        628,
			        0.326236188222457,
			        2,
			        0.2
			    ],
			    [
			        27,
			        "27_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        138.54292678833008,
			        134,
			        1000,
			        0.14760921482072825,
			        2,
			        0.4917084046669247
			    ],
			    [
			        28,
			        "28_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        138.6829957962036,
			        3999,
			        1000,
			        0.8321201268849178,
			        2,
			        0.2
			    ],
			    [
			        29,
			        "29_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        136.27446150779724,
			        3627,
			        1000,
			        1,
			        2,
			        0.2
			    ],
			    [
			        30,
			        "30_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        323.0631694793701,
			        10,
			        357,
			        0.8920696395766203,
			        2,
			        0.8
			    ],
			    [
			        31,
			        "31_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        132.26307082176208,
			        169,
			        1000,
			        0.4291176732320121,
			        2,
			        0.8
			    ],
			    [
			        32,
			        "32_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        132.1763424873352,
			        1403,
			        1000,
			        0.8416232395597909,
			        2,
			        0.8
			    ],
			    [
			        33,
			        "33_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        170.91073560714722,
			        58,
			        836,
			        0.8285109526297922,
			        2,
			        0.8
			    ],
			    [
			        34,
			        "34_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        181.93967270851135,
			        4000,
			        790,
			        1,
			        2,
			        0.8
			    ],
			    [
			        35,
			        "35_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        133.79822325706482,
			        2889,
			        1000,
			        0.5627188999995526,
			        2,
			        0.2
			    ],
			    [
			        36,
			        "36_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        236.3995213508606,
			        10,
			        1000,
			        0.8735065707986739,
			        3,
			        0.8
			    ],
			    [
			        37,
			        "37_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        133.03245329856873,
			        3627,
			        1000,
			        0.21014141658805316,
			        2,
			        0.2
			    ],
			    [
			        38,
			        "38_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        242.74150848388672,
			        888,
			        1000,
			        0.5460818612573989,
			        3,
			        0.8
			    ],
			    [
			        39,
			        "39_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        153.87288451194763,
			        3737,
			        914,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        40,
			        "40_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        134.96702599525452,
			        1653,
			        1000,
			        0.28135790994429194,
			        2,
			        0.8
			    ],
			    [
			        41,
			        "41_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        132.33345127105713,
			        10,
			        1000,
			        0.5665180365429274,
			        2,
			        0.2
			    ],
			    [
			        42,
			        "42_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        236.73207712173462,
			        10,
			        1000,
			        0.1,
			        3,
			        0.8
			    ],
			    [
			        43,
			        "43_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        169.04977345466614,
			        10,
			        1000,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        44,
			        "44_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8301886792452831,
			        149.05465030670166,
			        4000,
			        100,
			        1,
			        2,
			        0.2
			    ],
			    [
			        45,
			        "45_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8318437603442569,
			        146.9665687084198,
			        3795,
			        100,
			        0.9202584881190926,
			        2,
			        0.2
			    ],
			    [
			        46,
			        "46_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        229.3698546886444,
			        10,
			        1000,
			        1,
			        3,
			        0.2
			    ],
			    [
			        47,
			        "47_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8265475008275406,
			        165.41651558876038,
			        3491,
			        100,
			        0.4412017862592501,
			        2,
			        0.2
			    ],
			    [
			        48,
			        "48_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8282025819265144,
			        146.9296464920044,
			        1759,
			        100,
			        0.8266190282289663,
			        2,
			        0.2
			    ],
			    [
			        49,
			        "49_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        161.19890666007996,
			        356,
			        901,
			        0.1942067122147504,
			        2,
			        0.8
			    ],
			    [
			        50,
			        "50_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        196.98446822166443,
			        1887,
			        917,
			        0.42977374393639084,
			        2,
			        0.2
			    ],
			    [
			        51,
			        "51_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        237.41257619857788,
			        10,
			        478,
			        1,
			        2,
			        0.2
			    ],
			    [
			        52,
			        "52_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8368090036411784,
			        195.2968728542328,
			        534,
			        100,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        53,
			        "53_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        267.2156329154968,
			        3073,
			        286,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        54,
			        "54_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.834491890102615,
			        109.88856887817383,
			        1188,
			        197,
			        1,
			        2,
			        0.8
			    ],
			    [
			        55,
			        "55_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8351539225422046,
			        98.96966099739075,
			        1870,
			        220,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        56,
			        "56_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        315.3297815322876,
			        4000,
			        402,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        57,
			        "57_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.834491890102615,
			        124.63220000267029,
			        4000,
			        189,
			        1,
			        2,
			        0.8
			    ],
			    [
			        58,
			        "58_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        266.697692155838,
			        344,
			        321,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        59,
			        "59_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8325057927838464,
			        200.0153796672821,
			        10,
			        100,
			        0.1,
			        3,
			        0.8
			    ],
			    [
			        60,
			        "60_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        795.4325838088989,
			        4000,
			        537,
			        0.1,
			        4,
			        0.2
			    ],
			    [
			        61,
			        "61_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        254.38774490356445,
			        10,
			        382,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        62,
			        "62_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.837471036080768,
			        99.61080408096313,
			        10,
			        118,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        63,
			        "63_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        4000,
			        1000,
			        1,
			        3,
			        0.2
			    ],
			    [
			        64,
			        "64_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        297.10630893707275,
			        4000,
			        477,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        65,
			        "65_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        1021.5599634647369,
			        3366,
			        158,
			        1,
			        4,
			        0.2
			    ],
			    [
			        66,
			        "66_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        191.23841857910156,
			        10,
			        726,
			        1,
			        2,
			        0.2
			    ],
			    [
			        67,
			        "67_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        186.553560256958,
			        10,
			        765,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        68,
			        "68_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        138.36161398887634,
			        4000,
			        1000,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        69,
			        "69_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        133.46737551689148,
			        4000,
			        1000,
			        1,
			        2,
			        0.585240213027176
			    ],
			    [
			        70,
			        "70_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        306.91294384002686,
			        4000,
			        1000,
			        0.1,
			        3,
			        0.2
			    ],
			    [
			        71,
			        "71_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        131.02885746955872,
			        10,
			        1000,
			        1,
			        2,
			        0.5520744999053603
			    ],
			    [
			        72,
			        "72_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        160.86281657218933,
			        4000,
			        865,
			        1,
			        2,
			        0.2
			    ],
			    [
			        73,
			        "73_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        186.98458695411682,
			        2309,
			        758,
			        1,
			        2,
			        0.2
			    ],
			    [
			        74,
			        "74_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        193.86010885238647,
			        4000,
			        727,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        75,
			        "75_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        208.42164254188538,
			        10,
			        623,
			        1,
			        2,
			        0.8
			    ],
			    [
			        76,
			        "76_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        167.96427631378174,
			        4000,
			        1000,
			        1,
			        2,
			        0.8
			    ],
			    [
			        77,
			        "77_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8384640847401522,
			        127.77091836929321,
			        10,
			        183,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        78,
			        "78_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        236.28960752487183,
			        4000,
			        1000,
			        1,
			        3,
			        0.8
			    ],
			    [
			        79,
			        "79_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        316.46440267562866,
			        473,
			        391,
			        0.497419440795794,
			        2,
			        0.2
			    ],
			    [
			        80,
			        "80_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        187.14860606193542,
			        3467,
			        752,
			        0.6171805272846688,
			        2,
			        0.2
			    ],
			    [
			        81,
			        "81_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        168.41724348068237,
			        4000,
			        833,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        82,
			        "82_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        133.65855431556702,
			        10,
			        1000,
			        1,
			        2,
			        0.2
			    ],
			    [
			        83,
			        "83_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        209.90480399131775,
			        10,
			        649,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        84,
			        "84_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        205.58825302124023,
			        4000,
			        661,
			        1,
			        2,
			        0.8
			    ],
			    [
			        85,
			        "85_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8414432307183052,
			        163.79181051254272,
			        10,
			        155,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        86,
			        "86_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        275.8343503475189,
			        10,
			        892,
			        1,
			        3,
			        0.8
			    ],
			    [
			        87,
			        "87_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        212.4726059436798,
			        1250,
			        603,
			        1,
			        2,
			        0.2
			    ],
			    [
			        88,
			        "88_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        365.72112822532654,
			        3994,
			        889,
			        1,
			        3,
			        0.8
			    ],
			    [
			        89,
			        "89_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8391261171797418,
			        207.29858946800232,
			        4000,
			        100,
			        0.1,
			        3,
			        0.8
			    ],
			    [
			        90,
			        "90_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8411122144985105,
			        55.652477979660034,
			        10,
			        150,
			        0.8384424009317348,
			        2,
			        0.8
			    ],
			    [
			        91,
			        "91_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        239.05204510688782,
			        2785,
			        1000,
			        1,
			        3,
			        0.8
			    ],
			    [
			        92,
			        "92_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        229.44760060310364,
			        2327,
			        1000,
			        1,
			        3,
			        0.2
			    ],
			    [
			        93,
			        "93_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8364779874213837,
			        102.07501888275146,
			        10,
			        179,
			        0.8165442916567045,
			        2,
			        0.8
			    ],
			    [
			        94,
			        "94_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        188.10675239562988,
			        1025,
			        748,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        95,
			        "95_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        165.06386876106262,
			        829,
			        1000,
			        1,
			        2,
			        0.2
			    ],
			    [
			        96,
			        "96_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        270.1400408744812,
			        1570,
			        914,
			        1,
			        3,
			        0.2
			    ],
			    [
			        97,
			        "97_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        134.86658143997192,
			        10,
			        1000,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        98,
			        "98_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        134.64903783798218,
			        1004,
			        1000,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        99,
			        "99_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        133.99442648887634,
			        2604,
			        1000,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        100,
			        "100_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        342.8477096557617,
			        2099,
			        930,
			        0.1,
			        3,
			        0.8
			    ],
			    [
			        101,
			        "101_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        200.99929022789001,
			        2559,
			        709,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        102,
			        "102_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        152.95649003982544,
			        971,
			        915,
			        1,
			        2,
			        0.8
			    ],
			    [
			        103,
			        "103_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        173.24058365821838,
			        2854,
			        822,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        104,
			        "104_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        260.50256609916687,
			        3195,
			        354,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        105,
			        "105_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        194.76916337013245,
			        1075,
			        724,
			        1,
			        2,
			        0.2
			    ],
			    [
			        106,
			        "106_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        364.6822371482849,
			        10,
			        687,
			        1,
			        3,
			        0.2
			    ],
			    [
			        107,
			        "107_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        309.0221939086914,
			        2006,
			        179,
			        1,
			        2,
			        0.3608703354855905
			    ],
			    [
			        108,
			        "108_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8444223766964581,
			        225.00849080085754,
			        1778,
			        167,
			        1,
			        2,
			        0.46236429864174716
			    ],
			    [
			        109,
			        "109_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        138.56706357002258,
			        349,
			        962,
			        1,
			        2,
			        0.31624789968139216
			    ],
			    [
			        110,
			        "110_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8444223766964581,
			        156.05900239944458,
			        1943,
			        167,
			        0.7023233425334738,
			        2,
			        0.5068996631212606
			    ],
			    [
			        111,
			        "111_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8381330685203575,
			        132.65871834754944,
			        770,
			        155,
			        0.8334271703254782,
			        2,
			        0.5682873380792655
			    ],
			    [
			        112,
			        "112_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8477325388944058,
			        187.79730772972107,
			        1038,
			        165,
			        1,
			        2,
			        0.40805101932348886
			    ],
			    [
			        113,
			        "113_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8414432307183052,
			        256.3810577392578,
			        594,
			        161,
			        1,
			        2,
			        0.3276700737596883
			    ],
			    [
			        114,
			        "114_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8440913604766633,
			        276.19097542762756,
			        654,
			        156,
			        1,
			        2,
			        0.49112757659108663
			    ],
			    [
			        115,
			        "115_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8381330685203575,
			        130.24977803230286,
			        16,
			        152,
			        0.6102968438819942,
			        2,
			        0.4961171629257964
			    ],
			    [
			        116,
			        "116_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8354849387619994,
			        38.994250535964966,
			        4000,
			        120,
			        0.9231833561729487,
			        2,
			        0.8
			    ],
			    [
			        117,
			        "117_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8351539225422046,
			        96.76358079910278,
			        2682,
			        100,
			        0.8963037756183044,
			        2,
			        0.4192447172804436
			    ],
			    [
			        118,
			        "118_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8354849387619994,
			        103.39845943450928,
			        1996,
			        100,
			        0.8313229894835913,
			        2,
			        0.45467245268389395
			    ],
			    [
			        119,
			        "119_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8328368090036412,
			        74.80158948898315,
			        1168,
			        100,
			        0.8423583595170733,
			        2,
			        0.7197208235083473
			    ],
			    [
			        120,
			        "120_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8318437603442569,
			        83.12713575363159,
			        723,
			        109,
			        0.7410088890458493,
			        2,
			        0.4115937677822275
			    ],
			    [
			        121,
			        "121_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8411122144985105,
			        77.52669072151184,
			        732,
			        139,
			        0.6151318865207605,
			        2,
			        0.8
			    ],
			    [
			        122,
			        "122_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8454154253558425,
			        184.50433373451233,
			        1183,
			        170,
			        0.4463061752823993,
			        2,
			        0.44179156439390865
			    ],
			    [
			        123,
			        "123_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8368090036411784,
			        57.72355794906616,
			        2713,
			        146,
			        0.4837768981116485,
			        2,
			        0.8
			    ],
			    [
			        124,
			        "124_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        144.8638195991516,
			        1188,
			        970,
			        0.35621090748117895,
			        2,
			        0.6228031105857975
			    ],
			    [
			        125,
			        "125_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8470705064548163,
			        241.02872395515442,
			        3198,
			        167,
			        0.7453786352219259,
			        2,
			        0.456631638046553
			    ],
			    [
			        126,
			        "126_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        136.81186056137085,
			        3340,
			        1000,
			        0.48472112044032417,
			        2,
			        0.3877885722869348
			    ],
			    [
			        127,
			        "127_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.837471036080768,
			        44.09569787979126,
			        4000,
			        100,
			        0.7294595105123461,
			        2,
			        0.8
			    ],
			    [
			        128,
			        "128_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        131.94630479812622,
			        10,
			        1000,
			        0.6802763925965108,
			        2,
			        0.3452149070408943
			    ],
			    [
			        129,
			        "129_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        135.78647899627686,
			        1996,
			        1000,
			        0.1,
			        2,
			        0.6637839360412343
			    ],
			    [
			        130,
			        "130_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        184.41989874839783,
			        2992,
			        961,
			        0.8924164640854726,
			        2,
			        0.494042605240148
			    ],
			    [
			        131,
			        "131_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8394571333995365,
			        156.66251397132874,
			        3167,
			        154,
			        0.5115810237841725,
			        2,
			        0.472314607839981
			    ],
			    [
			        132,
			        "132_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        155.12299609184265,
			        3197,
			        923,
			        0.1,
			        2,
			        0.6097447847776273
			    ],
			    [
			        133,
			        "133_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        149.22320556640625,
			        383,
			        916,
			        1,
			        2,
			        0.5044160334096889
			    ],
			    [
			        134,
			        "134_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8331678252234359,
			        74.90152192115784,
			        392,
			        145,
			        0.6205071462851441,
			        2,
			        0.8
			    ],
			    [
			        135,
			        "135_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8341608738828202,
			        82.19461584091187,
			        3867,
			        100,
			        0.7458756546336632,
			        2,
			        0.5785928567770353
			    ],
			    [
			        136,
			        "136_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8397881496193313,
			        264.04254722595215,
			        2026,
			        179,
			        0.26857490984279964,
			        2,
			        0.29203263798810614
			    ],
			    [
			        137,
			        "137_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8341608738828202,
			        106.83410024642944,
			        3511,
			        160,
			        0.5581213803266631,
			        2,
			        0.7186245676703537
			    ],
			    [
			        138,
			        "138_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        175.93284678459167,
			        926,
			        814,
			        1,
			        2,
			        0.2
			    ],
			    [
			        139,
			        "139_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1570,
			        176,
			        0.31891098083896074,
			        2,
			        0.37069069281023825
			    ],
			    [
			        140,
			        "140_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8242303872889771,
			        95.4947419166565,
			        450,
			        156,
			        0.5866078621330868,
			        2,
			        0.7634575930398906
			    ],
			    [
			        141,
			        "141_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8407811982787157,
			        312.7130084037781,
			        256,
			        183,
			        0.29327190915312684,
			        2,
			        0.24925399457689448
			    ],
			    [
			        142,
			        "142_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        178.2729663848877,
			        219,
			        789,
			        1,
			        2,
			        0.42210403269018415
			    ],
			    [
			        143,
			        "143_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        170.80306243896484,
			        3413,
			        844,
			        0.1,
			        2,
			        0.3676549490984243
			    ],
			    [
			        144,
			        "144_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        165.10336828231812,
			        477,
			        840,
			        1,
			        2,
			        0.3901332657706538
			    ],
			    [
			        145,
			        "145_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        195.5031135082245,
			        45,
			        712,
			        0.6174656718647569,
			        2,
			        0.5715886397001965
			    ],
			    [
			        146,
			        "146_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.834491890102615,
			        49.95339512825012,
			        10,
			        100,
			        0.8985714481055309,
			        2,
			        0.8
			    ],
			    [
			        147,
			        "147_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8397881496193313,
			        171.93330216407776,
			        3955,
			        121,
			        0.7026413226130392,
			        2,
			        0.5026441102916981
			    ],
			    [
			        148,
			        "148_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        188.6187081336975,
			        3618,
			        745,
			        0.1,
			        2,
			        0.37574994530166334
			    ],
			    [
			        149,
			        "149_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        205.9928433895111,
			        1050,
			        641,
			        0.6615955071321266,
			        2,
			        0.5959400237503749
			    ],
			    [
			        150,
			        "150_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        189.15669560432434,
			        610,
			        925,
			        1,
			        2,
			        0.6756164314727039
			    ],
			    [
			        151,
			        "151_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        222.14553999900818,
			        1037,
			        569,
			        1,
			        2,
			        0.8
			    ],
			    [
			        152,
			        "152_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        190.81832242012024,
			        28,
			        731,
			        0.8836881130674691,
			        2,
			        0.36244769428738377
			    ],
			    [
			        153,
			        "153_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8358159549817941,
			        156.65818119049072,
			        695,
			        197,
			        0.34430819007241004,
			        2,
			        0.47431612197391215
			    ],
			    [
			        154,
			        "154_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8381330685203575,
			        100.39771628379822,
			        244,
			        114,
			        0.7675438087105017,
			        2,
			        0.5077062944031633
			    ],
			    [
			        155,
			        "155_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8354849387619994,
			        162.33076071739197,
			        3642,
			        193,
			        0.3443261231656472,
			        2,
			        0.48333982392837005
			    ],
			    [
			        156,
			        "156_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        175.74856162071228,
			        3908,
			        1000,
			        0.5662969264532114,
			        2,
			        0.6795254499878753
			    ],
			    [
			        157,
			        "157_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        228.37713861465454,
			        3162,
			        538,
			        1,
			        2,
			        0.3458462643601356
			    ],
			    [
			        158,
			        "158_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        186.98388576507568,
			        160,
			        771,
			        0.1,
			        2,
			        0.5745890212834859
			    ],
			    [
			        159,
			        "159_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        208.6066484451294,
			        522,
			        888,
			        0.1,
			        2,
			        0.4557024218401017
			    ],
			    [
			        160,
			        "160_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.834491890102615,
			        77.83002972602844,
			        3447,
			        147,
			        0.6416932555099097,
			        2,
			        0.6565527503865792
			    ],
			    [
			        161,
			        "161_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        202.23282313346863,
			        4000,
			        674,
			        1,
			        2,
			        0.2
			    ],
			    [
			        162,
			        "162_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8291956305858987,
			        53.510648250579834,
			        360,
			        121,
			        0.7029948924647084,
			        2,
			        0.8
			    ],
			    [
			        163,
			        "163_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8470705064548163,
			        266.03049755096436,
			        3110,
			        184,
			        1,
			        2,
			        0.4211650238882234
			    ],
			    [
			        164,
			        "164_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        175.62347292900085,
			        3563,
			        825,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        165,
			        "165_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8275405494869249,
			        113.44368696212769,
			        1813,
			        104,
			        1,
			        2,
			        0.5473664221341767
			    ],
			    [
			        166,
			        "166_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        224.20892596244812,
			        2117,
			        552,
			        1,
			        2,
			        0.6211788145674438
			    ],
			    [
			        167,
			        "167_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        234.53155636787415,
			        441,
			        768,
			        1,
			        2,
			        0.6362419564238481
			    ],
			    [
			        168,
			        "168_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        222.81420969963074,
			        3473,
			        587,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        169,
			        "169_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        146.89539051055908,
			        871,
			        951,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        170,
			        "170_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        216.6868588924408,
			        3955,
			        862,
			        1,
			        2,
			        0.5416852863522066
			    ],
			    [
			        171,
			        "171_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        139.44711232185364,
			        70,
			        963,
			        1,
			        2,
			        0.2
			    ],
			    [
			        172,
			        "172_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.846077457795432,
			        123.66218304634094,
			        2510,
			        157,
			        0.6233660536247461,
			        2,
			        0.6479970927125125
			    ],
			    [
			        173,
			        "173_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        267.11136507987976,
			        10,
			        677,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        174,
			        "174_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        145.2959439754486,
			        4000,
			        941,
			        1,
			        2,
			        0.2
			    ],
			    [
			        175,
			        "175_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8358159549817941,
			        96.42844080924988,
			        2589,
			        153,
			        0.6196246783356165,
			        2,
			        0.743584545369211
			    ],
			    [
			        176,
			        "176_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        264.3896713256836,
			        1128,
			        317,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        177,
			        "177_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        186.94767999649048,
			        2491,
			        965,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        178,
			        "178_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        221.02748656272888,
			        1095,
			        603,
			        1,
			        2,
			        0.5012906297683073
			    ],
			    [
			        179,
			        "179_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        183.1832766532898,
			        4000,
			        799,
			        0.1,
			        2,
			        0.31429469792094034
			    ],
			    [
			        180,
			        "180_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        311.3918704986572,
			        3245,
			        466,
			        1,
			        2,
			        0.520898725204308
			    ],
			    [
			        181,
			        "181_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        163.00191402435303,
			        10,
			        860,
			        1,
			        2,
			        0.8
			    ],
			    [
			        182,
			        "182_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        166.5630943775177,
			        195,
			        854,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        183,
			        "183_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8407811982787157,
			        130.41953229904175,
			        3682,
			        152,
			        0.6128431746490842,
			        2,
			        0.7771025513636148
			    ],
			    [
			        184,
			        "184_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8364779874213837,
			        78.71232891082764,
			        3304,
			        131,
			        0.6507632367734715,
			        2,
			        0.8
			    ],
			    [
			        185,
			        "185_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        335.1663751602173,
			        3234,
			        332,
			        0.1,
			        2,
			        0.49191645710361404
			    ],
			    [
			        186,
			        "186_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        220.40977549552917,
			        103,
			        570,
			        1,
			        2,
			        0.2
			    ],
			    [
			        187,
			        "187_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        177.9327094554901,
			        10,
			        798,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        188,
			        "188_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        232.22511792182922,
			        3199,
			        523,
			        0.34609287669614136,
			        2,
			        0.7295817328101182
			    ],
			    [
			        189,
			        "189_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        294.7109303474426,
			        10,
			        523,
			        1,
			        2,
			        0.2
			    ],
			    [
			        190,
			        "190_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        203.05769109725952,
			        4000,
			        679,
			        0.1146728282602117,
			        2,
			        0.6219448372008929
			    ],
			    [
			        191,
			        "191_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8321747765640516,
			        54.3588342666626,
			        3573,
			        112,
			        0.7295946462298523,
			        2,
			        0.8
			    ],
			    [
			        192,
			        "192_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        258.67819023132324,
			        4000,
			        709,
			        1,
			        2,
			        0.8
			    ],
			    [
			        193,
			        "193_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        162.76611948013306,
			        2256,
			        882,
			        0.1,
			        2,
			        0.8
			    ],
			    [
			        194,
			        "194_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        218.3859302997589,
			        3146,
			        617,
			        0.3384693404292562,
			        2,
			        0.8
			    ],
			    [
			        195,
			        "195_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        212.76567220687866,
			        1020,
			        886,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        196,
			        "196_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        213.9727122783661,
			        2708,
			        638,
			        1,
			        2,
			        0.2
			    ],
			    [
			        197,
			        "197_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        187.15685439109802,
			        3495,
			        970,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        198,
			        "198_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        152.94426274299622,
			        3933,
			        913,
			        1,
			        2,
			        0.6458918779373601
			    ],
			    [
			        199,
			        "199_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8421052631578947,
			        230.37503170967102,
			        1399,
			        795,
			        0.1,
			        2,
			        0.2
			    ],
			    [
			        200,
			        "200_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.8417742469381,
			        82.22268414497375,
			        1695,
			        159,
			        0.5806444183255004,
			        2,
			        0.6827952846037196
			    ]
			];
			var tab_job_infos_headers_json = [
			    "start_time",
			    "end_time",
			    "run_time",
			    "program_string",
			    "recent_samples_size",
			    "n_samples",
			    "const",
			    "max_depth",
			    "threshold",
			    "ACCURACY",
			    "RUNTIME",
			    "exit_code",
			    "signal",
			    "hostname",
			    "OO_Info_runtime",
			    "OO_Info_peak_memory",
			    "OO_Info_mean_memory",
			    "OO_Info_lpd",
			    "OO_Info_portion_req_label",
			    "OO_Info_SLURM_JOB_ID"
			];
			var tab_job_infos_csv_json = [
			    [
			        1741340045,
			        1741340228,
			        183,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 172 n_samples 849 const 0.5692640886642039 max_depth 2 threshold 0.5663607092574239",
			        172,
			        849,
			        0.5692640886642039,
			        2,
			        0.5663607092574239,
			        0.8421052631578947,
			        171.51833772659302,
			        0,
			        "None",
			        "i7183",
			        171.51833772659302,
			        743.234375,
			        743.2103515625,
			        -1,
			        0,
			        3074335
			    ],
			    [
			        1741340042,
			        1741340266,
			        224,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3184 n_samples 639 const 0.8486714848317206 max_depth 2 threshold 0.35062660034745935",
			        3184,
			        639,
			        0.8486714848317206,
			        2,
			        0.35062660034745935,
			        0.8421052631578947,
			        208.52944469451904,
			        0,
			        "None",
			        "i7184",
			        208.52944469451904,
			        729.40625,
			        729.3826426630435,
			        -1,
			        0,
			        3074333
			    ],
			    [
			        1741340041,
			        1741340285,
			        244,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3929 n_samples 283 const 0.7002352853305638 max_depth 2 threshold 0.47784195169806487",
			        3929,
			        283,
			        0.7002352853305638,
			        2,
			        0.47784195169806487,
			        0.8401191658391262,
			        229.5795419216156,
			        0,
			        "None",
			        "i7184",
			        229.5795419216156,
			        729.546875,
			        729.450625,
			        -1,
			        0,
			        3074332
			    ],
			    [
			        1741340110,
			        1741340299,
			        189,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1888 n_samples 830 const 0.34295701049268246 max_depth 2 threshold 0.590226255171001",
			        1888,
			        830,
			        0.34295701049268246,
			        2,
			        0.590226255171001,
			        0.8421052631578947,
			        176.53107810020447,
			        0,
			        "None",
			        "i7176",
			        176.53107810020447,
			        743.65625,
			        743.63515625,
			        -1,
			        0,
			        3074347
			    ],
			    [
			        1741340070,
			        1741340321,
			        251,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 333 n_samples 220 const 0.19308231547474863 max_depth 2 threshold 0.30885671302676204",
			        333,
			        220,
			        0.19308231547474863,
			        2,
			        0.30885671302676204,
			        0.8404501820589209,
			        240.1519639492035,
			        0,
			        "None",
			        "i7180",
			        240.1519639492035,
			        740.0625,
			        740.0395132211538,
			        -1,
			        0,
			        3074338
			    ],
			    [
			        1741340084,
			        1741340343,
			        259,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 574 n_samples 603 const 0.45229509510099886 max_depth 2 threshold 0.25798718687146904",
			        574,
			        603,
			        0.45229509510099886,
			        2,
			        0.25798718687146904,
			        0.8421052631578947,
			        222.84294080734253,
			        0,
			        "None",
			        "i7178",
			        222.84294080734253,
			        729.4140625,
			        729.38875,
			        -1,
			        0,
			        3074343
			    ],
			    [
			        1741340104,
			        1741340349,
			        245,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2901 n_samples 564 const 0.17236955650150776 max_depth 2 threshold 0.4869190493598581",
			        2901,
			        564,
			        0.17236955650150776,
			        2,
			        0.4869190493598581,
			        0.8421052631578947,
			        233.26186418533325,
			        0,
			        "None",
			        "i7177",
			        233.26186418533325,
			        742.79296875,
			        742.7744891826923,
			        -1,
			        0,
			        3074345
			    ],
			    [
			        1741340073,
			        1741340423,
			        350,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3591 n_samples 787 const 0.28889640383422377 max_depth 3 threshold 0.6609275938943029",
			        3591,
			        787,
			        0.28889640383422377,
			        3,
			        0.6609275938943029,
			        0.8421052631578947,
			        339.2506830692291,
			        0,
			        "None",
			        "i7179",
			        339.2506830692291,
			        742.77734375,
			        742.7639973958334,
			        -1,
			        0,
			        3074341
			    ],
			    [
			        1741340045,
			        1741340428,
			        383,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1720 n_samples 688 const 0.23298894120380284 max_depth 3 threshold 0.7340984815731646",
			        1720,
			        688,
			        0.23298894120380284,
			        3,
			        0.7340984815731646,
			        0.8421052631578947,
			        366.7409174442291,
			        0,
			        "None",
			        "i7185",
			        366.7409174442291,
			        729.3359375,
			        729.3236177884615,
			        -1,
			        0,
			        3074331
			    ],
			    [
			        1741340045,
			        1741340488,
			        443,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 923 n_samples 523 const 0.9831574481911958 max_depth 3 threshold 0.5999015916138888",
			        923,
			        523,
			        0.9831574481911958,
			        3,
			        0.5999015916138888,
			        0.8421052631578947,
			        431.64061164855957,
			        0,
			        "None",
			        "i7185",
			        431.64061164855957,
			        729.3125,
			        729.3000169836956,
			        -1,
			        0,
			        3074330
			    ],
			    [
			        1741340071,
			        1741340537,
			        466,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1068 n_samples 991 const 0.7912105051800609 max_depth 4 threshold 0.44151780586689715",
			        1068,
			        991,
			        0.7912105051800609,
			        4,
			        0.44151780586689715,
			        0.8421052631578947,
			        455.7676753997803,
			        0,
			        "None",
			        "i7180",
			        455.7676753997803,
			        740.125,
			        739.8124186197916,
			        -1,
			        0,
			        3074339
			    ],
			    [
			        1741340077,
			        1741340553,
			        476,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3334 n_samples 487 const 0.367027023434639 max_depth 3 threshold 0.7681226510554553",
			        3334,
			        487,
			        0.367027023434639,
			        3,
			        0.7681226510554553,
			        0.8421052631578947,
			        467.4655792713165,
			        0,
			        "None",
			        "i7179",
			        467.4655792713165,
			        743.2421875,
			        743.2336575255102,
			        -1,
			        0,
			        3074340
			    ],
			    [
			        1741340108,
			        1741340616,
			        508,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3730 n_samples 427 const 0.8117449643090368 max_depth 3 threshold 0.3197243366390467",
			        3730,
			        427,
			        0.8117449643090368,
			        3,
			        0.3197243366390467,
			        0.8421052631578947,
			        491.4299852848053,
			        0,
			        "None",
			        "i7175",
			        491.4299852848053,
			        743.16796875,
			        743.1582782451923,
			        -1,
			        0,
			        3074348
			    ],
			    [
			        1741340042,
			        1741340663,
			        621,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1464 n_samples 135 const 0.42207285827025776 max_depth 4 threshold 0.6996442880481483",
			        1464,
			        135,
			        0.42207285827025776,
			        4,
			        0.6996442880481483,
			        0.8368090036411784,
			        606.1629612445831,
			        0,
			        "None",
			        "i7183",
			        606.1629612445831,
			        740.01953125,
			        732.0373883928571,
			        -1,
			        0,
			        3074334
			    ],
			    [
			        1741340038,
			        1741340667,
			        629,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2696 n_samples 927 const 0.5090987265110016 max_depth 4 threshold 0.3499073386192322",
			        2696,
			        927,
			        0.5090987265110016,
			        4,
			        0.3499073386192322,
			        0.8421052631578947,
			        616.1660788059235,
			        0,
			        "None",
			        "i7186",
			        616.1660788059235,
			        743.171875,
			        743.1643676757812,
			        -1,
			        0,
			        3074329
			    ],
			    [
			        1741340102,
			        1741340673,
			        571,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2799 n_samples 199 const 0.9274542743340135 max_depth 3 threshold 0.5324435945600272",
			        2799,
			        199,
			        0.9274542743340135,
			        3,
			        0.5324435945600272,
			        0.8421052631578947,
			        557.1922686100006,
			        0,
			        "None",
			        "i7177",
			        557.1922686100006,
			        740.53515625,
			        740.5270070043103,
			        -1,
			        0,
			        3074344
			    ],
			    [
			        1741340045,
			        1741340744,
			        699,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2038 n_samples 723 const 0.6240781655535101 max_depth 4 threshold 0.638501181639731",
			        2038,
			        723,
			        0.6240781655535101,
			        4,
			        0.638501181639731,
			        0.8421052631578947,
			        678.4514284133911,
			        0,
			        "None",
			        "i7182",
			        678.4514284133911,
			        743.01953125,
			        743.0106026785714,
			        -1,
			        0,
			        3074337
			    ],
			    [
			        1741340110,
			        1741340933,
			        823,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 747 n_samples 158 const 0.6484093585982919 max_depth 4 threshold 0.760167620331049",
			        747,
			        158,
			        0.6484093585982919,
			        4,
			        0.760167620331049,
			        0.8417742469381,
			        810.4430084228516,
			        0,
			        "None",
			        "i7176",
			        810.4430084228516,
			        743.109375,
			        742.9590549698795,
			        -1,
			        0,
			        3074346
			    ],
			    [
			        1741340045,
			        1741341005,
			        960,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2453 n_samples 347 const 0.13541704704985025 max_depth 4 threshold 0.22162761688232424",
			        2453,
			        347,
			        0.13541704704985025,
			        4,
			        0.22162761688232424,
			        0.8421052631578947,
			        944.0722455978394,
			        0,
			        "None",
			        "i7182",
			        944.0722455978394,
			        743.0703125,
			        743.0647148840206,
			        -1,
			        0,
			        3074336
			    ],
			    [
			        1741340084,
			        1741341029,
			        945,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1803 n_samples 381 const 0.7568071680143476 max_depth 4 threshold 0.3916346877813339",
			        1803,
			        381,
			        0.7568071680143476,
			        4,
			        0.3916346877813339,
			        0.8421052631578947,
			        909.8219614028931,
			        0,
			        "None",
			        "i7178",
			        909.8219614028931,
			        729.47265625,
			        729.4674479166666,
			        -1,
			        0,
			        3074342
			    ],
			    [
			        1741341112,
			        1741341264,
			        152,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1995 n_samples 959 const 0.9645108432916966 max_depth 2 threshold 0.8",
			        1995,
			        959,
			        0.9645108432916966,
			        2,
			        0.8,
			        0.8421052631578947,
			        143.8259561061859,
			        0,
			        "None",
			        "i7185",
			        143.8259561061859,
			        729.3828125,
			        729.3467371323529,
			        -1,
			        0,
			        3074356
			    ],
			    [
			        1741341082,
			        1741341277,
			        195,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3306 n_samples 945 const 0.6994913128714735 max_depth 2 threshold 0.794471654444349",
			        3306,
			        945,
			        0.6994913128714735,
			        2,
			        0.794471654444349,
			        0.8421052631578947,
			        184.94466423988342,
			        0,
			        "None",
			        "i7186",
			        184.94466423988342,
			        743.1875,
			        743.1674107142857,
			        -1,
			        0,
			        3074355
			    ],
			    [
			        1741341117,
			        1741341334,
			        217,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1347 n_samples 650 const 0.3821901343407392 max_depth 2 threshold 0.8",
			        1347,
			        650,
			        0.3821901343407392,
			        2,
			        0.8,
			        0.8421052631578947,
			        210.2402958869934,
			        0,
			        "None",
			        "i7185",
			        210.2402958869934,
			        729.41796875,
			        729.3897758152174,
			        -1,
			        0,
			        3074357
			    ],
			    [
			        1741341142,
			        1741341336,
			        194,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3520 n_samples 762 const 0.46951434066395736 max_depth 2 threshold 0.8",
			        3520,
			        762,
			        0.46951434066395736,
			        2,
			        0.8,
			        0.8421052631578947,
			        187.0186150074005,
			        0,
			        "None",
			        "i7184",
			        187.0186150074005,
			        729.203125,
			        729.1826636904761,
			        -1,
			        0,
			        3074358
			    ],
			    [
			        1741341177,
			        1741341353,
			        176,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 876 const 1 max_depth 2 threshold 0.2",
			        10,
			        876,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        167.93289399147034,
			        0,
			        "None",
			        "i7183",
			        167.93289399147034,
			        743.24609375,
			        743.2208059210526,
			        -1,
			        0,
			        3074361
			    ],
			    [
			        1741341207,
			        1741341353,
			        146,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 134 n_samples 1000 const 0.14760921482072825 max_depth 2 threshold 0.4917084046669247",
			        134,
			        1000,
			        0.14760921482072825,
			        2,
			        0.4917084046669247,
			        0.8421052631578947,
			        138.54292678833008,
			        0,
			        "None",
			        "i7182",
			        138.54292678833008,
			        739.90234375,
			        739.863525390625,
			        -1,
			        0,
			        3074363
			    ],
			    [
			        1741341233,
			        1741341380,
			        147,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3999 n_samples 1000 const 0.8321201268849178 max_depth 2 threshold 0.2",
			        3999,
			        1000,
			        0.8321201268849178,
			        2,
			        0.2,
			        0.8421052631578947,
			        138.6829957962036,
			        0,
			        "None",
			        "i7182",
			        138.6829957962036,
			        743.0546875,
			        743.01513671875,
			        -1,
			        0,
			        3074364
			    ],
			    [
			        1741341232,
			        1741341395,
			        163,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3627 n_samples 1000 const 1 max_depth 2 threshold 0.2",
			        3627,
			        1000,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        136.27446150779724,
			        0,
			        "None",
			        "i7180",
			        136.27446150779724,
			        743.57421875,
			        703.734375,
			        -1,
			        0,
			        3074366
			    ],
			    [
			        1741341142,
			        1741341399,
			        257,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2857 n_samples 424 const 0.9443654508526229 max_depth 2 threshold 0.2",
			        2857,
			        424,
			        0.9443654508526229,
			        2,
			        0.2,
			        0.8421052631578947,
			        249.41503953933716,
			        0,
			        "None",
			        "i7184",
			        249.41503953933716,
			        729.27734375,
			        729.2557870370371,
			        -1,
			        0,
			        3074360
			    ],
			    [
			        1741341172,
			        1741341399,
			        227,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2802 n_samples 628 const 0.326236188222457 max_depth 2 threshold 0.2",
			        2802,
			        628,
			        0.326236188222457,
			        2,
			        0.2,
			        0.8421052631578947,
			        217.82077050209045,
			        0,
			        "None",
			        "i7183",
			        217.82077050209045,
			        743.6875,
			        743.66748046875,
			        -1,
			        0,
			        3074362
			    ],
			    [
			        1741341322,
			        1741341462,
			        140,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 169 n_samples 1000 const 0.4291176732320121 max_depth 2 threshold 0.8",
			        169,
			        1000,
			        0.4291176732320121,
			        2,
			        0.8,
			        0.8421052631578947,
			        132.26307082176208,
			        0,
			        "None",
			        "i7185",
			        132.26307082176208,
			        729.46875,
			        729.42724609375,
			        -1,
			        0,
			        3074369
			    ],
			    [
			        1741341351,
			        1741341491,
			        140,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1403 n_samples 1000 const 0.8416232395597909 max_depth 2 threshold 0.8",
			        1403,
			        1000,
			        0.8416232395597909,
			        2,
			        0.8,
			        0.8421052631578947,
			        132.1763424873352,
			        0,
			        "None",
			        "i7185",
			        132.1763424873352,
			        729.42578125,
			        729.395263671875,
			        -1,
			        0,
			        3074370
			    ],
			    [
			        1741341352,
			        1741341530,
			        178,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 58 n_samples 836 const 0.8285109526297922 max_depth 2 threshold 0.8",
			        58,
			        836,
			        0.8285109526297922,
			        2,
			        0.8,
			        0.8421052631578947,
			        170.91073560714722,
			        0,
			        "None",
			        "i7184",
			        170.91073560714722,
			        729.43359375,
			        729.40078125,
			        -1,
			        0,
			        3074371
			    ],
			    [
			        1741341411,
			        1741341553,
			        142,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2889 n_samples 1000 const 0.5627188999995526 max_depth 2 threshold 0.2",
			        2889,
			        1000,
			        0.5627188999995526,
			        2,
			        0.2,
			        0.8421052631578947,
			        133.79822325706482,
			        0,
			        "None",
			        "i7184",
			        133.79822325706482,
			        729.3671875,
			        729.32666015625,
			        -1,
			        0,
			        3074373
			    ],
			    [
			        1741341382,
			        1741341572,
			        190,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 790 const 1 max_depth 2 threshold 0.8",
			        4000,
			        790,
			        1,
			        2,
			        0.8,
			        0.8421052631578947,
			        181.93967270851135,
			        0,
			        "None",
			        "i7183",
			        181.93967270851135,
			        743.359375,
			        743.3325892857143,
			        -1,
			        0,
			        3074372
			    ],
			    [
			        1741341472,
			        1741341613,
			        141,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3627 n_samples 1000 const 0.21014141658805316 max_depth 2 threshold 0.2",
			        3627,
			        1000,
			        0.21014141658805316,
			        2,
			        0.2,
			        0.8421052631578947,
			        133.03245329856873,
			        0,
			        "None",
			        "i7185",
			        133.03245329856873,
			        729.5078125,
			        729.477783203125,
			        -1,
			        0,
			        3074375
			    ],
			    [
			        1741341293,
			        1741341625,
			        332,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 357 const 0.8920696395766203 max_depth 2 threshold 0.8",
			        10,
			        357,
			        0.8920696395766203,
			        2,
			        0.8,
			        0.8421052631578947,
			        323.0631694793701,
			        0,
			        "None",
			        "i7186",
			        323.0631694793701,
			        743.234375,
			        743.2208705357143,
			        -1,
			        0,
			        3074367
			    ],
			    [
			        1741341443,
			        1741341687,
			        244,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 1000 const 0.8735065707986739 max_depth 3 threshold 0.8",
			        10,
			        1000,
			        0.8735065707986739,
			        3,
			        0.8,
			        0.8421052631578947,
			        236.3995213508606,
			        0,
			        "None",
			        "i7183",
			        236.3995213508606,
			        743.54296875,
			        743.5229867788462,
			        -1,
			        0,
			        3074374
			    ],
			    [
			        1741341532,
			        1741341693,
			        161,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3737 n_samples 914 const 0.1 max_depth 2 threshold 0.2",
			        3737,
			        914,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        153.87288451194763,
			        0,
			        "None",
			        "i7185",
			        153.87288451194763,
			        729.4765625,
			        729.4533420138889,
			        -1,
			        0,
			        3074377
			    ],
			    [
			        1741341562,
			        1741341704,
			        142,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1653 n_samples 1000 const 0.28135790994429194 max_depth 2 threshold 0.8",
			        1653,
			        1000,
			        0.28135790994429194,
			        2,
			        0.8,
			        0.8421052631578947,
			        134.96702599525452,
			        0,
			        "None",
			        "i7184",
			        134.96702599525452,
			        729.46484375,
			        729.424072265625,
			        -1,
			        0,
			        3074378
			    ],
			    [
			        1741341473,
			        1741341724,
			        251,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 888 n_samples 1000 const 0.5460818612573989 max_depth 3 threshold 0.8",
			        888,
			        1000,
			        0.5460818612573989,
			        3,
			        0.8,
			        0.8421052631578947,
			        242.74150848388672,
			        0,
			        "None",
			        "i7182",
			        242.74150848388672,
			        739.83203125,
			        739.8083043981482,
			        -1,
			        0,
			        3074376
			    ],
			    [
			        1741341592,
			        1741341731,
			        139,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 1000 const 0.5665180365429274 max_depth 2 threshold 0.2",
			        10,
			        1000,
			        0.5665180365429274,
			        2,
			        0.2,
			        0.8421052631578947,
			        132.33345127105713,
			        0,
			        "None",
			        "i7184",
			        132.33345127105713,
			        729.46875,
			        729.438720703125,
			        -1,
			        0,
			        3074379
			    ],
			    [
			        1741341653,
			        1741341831,
			        178,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 1000 const 0.1 max_depth 2 threshold 0.2",
			        10,
			        1000,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        169.04977345466614,
			        0,
			        "None",
			        "i7186",
			        169.04977345466614,
			        743.68359375,
			        743.660978618421,
			        -1,
			        0,
			        3074381
			    ],
			    [
			        1741341683,
			        1741341840,
			        157,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 100 const 1 max_depth 2 threshold 0.2",
			        4000,
			        100,
			        1,
			        2,
			        0.2,
			        0.8301886792452831,
			        149.05465030670166,
			        0,
			        "None",
			        "i7183",
			        149.05465030670166,
			        742.73828125,
			        739.4310661764706,
			        -1,
			        0,
			        3074382
			    ],
			    [
			        1741341622,
			        1741341869,
			        247,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 1000 const 0.1 max_depth 3 threshold 0.8",
			        10,
			        1000,
			        0.1,
			        3,
			        0.8,
			        0.8421052631578947,
			        236.73207712173462,
			        0,
			        "None",
			        "i7185",
			        236.73207712173462,
			        729.4453125,
			        652.0542367788462,
			        -1,
			        0,
			        3074380
			    ],
			    [
			        1741341712,
			        1741341894,
			        182,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3795 n_samples 100 const 0.9202584881190926 max_depth 2 threshold 0.2",
			        3795,
			        100,
			        0.9202584881190926,
			        2,
			        0.2,
			        0.8318437603442569,
			        146.9665687084198,
			        0,
			        "None",
			        "i7185",
			        146.9665687084198,
			        726.87890625,
			        701.9712775735294,
			        -1,
			        0,
			        3074383
			    ],
			    [
			        1741341772,
			        1741341945,
			        173,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3491 n_samples 100 const 0.4412017862592501 max_depth 2 threshold 0.2",
			        3491,
			        100,
			        0.4412017862592501,
			        2,
			        0.2,
			        0.8265475008275406,
			        165.41651558876038,
			        0,
			        "None",
			        "i7184",
			        165.41651558876038,
			        729.4453125,
			        726.93359375,
			        -1,
			        0,
			        3074385
			    ],
			    [
			        1741341712,
			        1741341949,
			        237,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 1000 const 1 max_depth 3 threshold 0.2",
			        10,
			        1000,
			        1,
			        3,
			        0.2,
			        0.8421052631578947,
			        229.3698546886444,
			        0,
			        "None",
			        "i7184",
			        229.3698546886444,
			        729.36328125,
			        729.33703125,
			        -1,
			        0,
			        3074384
			    ],
			    [
			        1741341803,
			        1741341958,
			        155,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1759 n_samples 100 const 0.8266190282289663 max_depth 2 threshold 0.2",
			        1759,
			        100,
			        0.8266190282289663,
			        2,
			        0.2,
			        0.8282025819265144,
			        146.9296464920044,
			        0,
			        "None",
			        "i7183",
			        146.9296464920044,
			        741.73828125,
			        739.5556066176471,
			        -1,
			        0,
			        3074386
			    ],
			    [
			        1741341832,
			        1741342001,
			        169,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 356 n_samples 901 const 0.1942067122147504 max_depth 2 threshold 0.8",
			        356,
			        901,
			        0.1942067122147504,
			        2,
			        0.8,
			        0.8421052631578947,
			        161.19890666007996,
			        0,
			        "None",
			        "i7182",
			        161.19890666007996,
			        743.28125,
			        743.2528782894736,
			        -1,
			        0,
			        3074388
			    ],
			    [
			        1741341863,
			        1741342070,
			        207,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1887 n_samples 917 const 0.42977374393639084 max_depth 2 threshold 0.2",
			        1887,
			        917,
			        0.42977374393639084,
			        2,
			        0.2,
			        0.8421052631578947,
			        196.98446822166443,
			        0,
			        "None",
			        "i7186",
			        196.98446822166443,
			        741.7265625,
			        741.7047230113636,
			        -1,
			        0,
			        3074391
			    ],
			    [
			        1741342012,
			        1741342129,
			        117,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1188 n_samples 197 const 1 max_depth 2 threshold 0.8",
			        1188,
			        197,
			        1,
			        2,
			        0.8,
			        0.834491890102615,
			        109.88856887817383,
			        0,
			        "None",
			        "i7184",
			        109.88856887817383,
			        729.37109375,
			        728.2719350961538,
			        -1,
			        0,
			        3074397
			    ],
			    [
			        1741342043,
			        1741342150,
			        107,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1870 n_samples 220 const 0.1 max_depth 2 threshold 0.8",
			        1870,
			        220,
			        0.1,
			        2,
			        0.8,
			        0.8351539225422046,
			        98.96966099739075,
			        0,
			        "None",
			        "i7183",
			        98.96966099739075,
			        743.46484375,
			        741.8098958333334,
			        -1,
			        0,
			        3074398
			    ],
			    [
			        1741341892,
			        1741342160,
			        268,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 478 const 1 max_depth 2 threshold 0.2",
			        10,
			        478,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        237.41257619857788,
			        0,
			        "None",
			        "i7185",
			        237.41257619857788,
			        729.42578125,
			        627.8643329326923,
			        -1,
			        0,
			        3074393
			    ],
			    [
			        1741341952,
			        1741342177,
			        225,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 534 n_samples 100 const 0.1 max_depth 2 threshold 0.2",
			        534,
			        100,
			        0.1,
			        2,
			        0.2,
			        0.8368090036411784,
			        195.2968728542328,
			        0,
			        "None",
			        "i7185",
			        195.2968728542328,
			        721.5390625,
			        695.3322088068181,
			        -1,
			        0,
			        3074395
			    ],
			    [
			        1741341982,
			        1741342257,
			        275,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3073 n_samples 286 const 0.1 max_depth 2 threshold 0.2",
			        3073,
			        286,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        267.2156329154968,
			        0,
			        "None",
			        "i7184",
			        267.2156329154968,
			        729.52734375,
			        729.5047144396551,
			        -1,
			        0,
			        3074396
			    ],
			    [
			        1741342162,
			        1741342295,
			        133,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 189 const 1 max_depth 2 threshold 0.8",
			        4000,
			        189,
			        1,
			        2,
			        0.8,
			        0.834491890102615,
			        124.63220000267029,
			        0,
			        "None",
			        "i7184",
			        124.63220000267029,
			        729.48828125,
			        726.82734375,
			        -1,
			        0,
			        3074404
			    ],
			    [
			        1741342103,
			        1741342428,
			        325,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 402 const 0.1 max_depth 2 threshold 0.8",
			        4000,
			        402,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        315.3297815322876,
			        0,
			        "None",
			        "i7186",
			        315.3297815322876,
			        740.515625,
			        740.5032169117648,
			        -1,
			        0,
			        3074401
			    ],
			    [
			        1741342373,
			        1741342481,
			        108,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 118 const 0.1 max_depth 2 threshold 0.8",
			        10,
			        118,
			        0.1,
			        2,
			        0.8,
			        0.837471036080768,
			        99.61080408096313,
			        0,
			        "None",
			        "i7183",
			        99.61080408096313,
			        740.3125,
			        740.2613932291666,
			        -1,
			        0,
			        3074411
			    ],
			    [
			        1741342253,
			        1741342484,
			        231,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 100 const 0.1 max_depth 3 threshold 0.8",
			        10,
			        100,
			        0.1,
			        3,
			        0.8,
			        0.8325057927838464,
			        200.0153796672821,
			        0,
			        "None",
			        "i7185",
			        200.0153796672821,
			        608.3125,
			        607.5756392045455,
			        -1,
			        0,
			        3074407
			    ],
			    [
			        1741342192,
			        1741342491,
			        299,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 344 n_samples 321 const 0.1 max_depth 2 threshold 0.2",
			        344,
			        321,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        266.697692155838,
			        0,
			        "None",
			        "i7185",
			        266.697692155838,
			        729.1484375,
			        620.7487877155172,
			        -1,
			        0,
			        3074406
			    ],
			    [
			        1741342342,
			        1741342604,
			        262,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 382 const 0.1 max_depth 2 threshold 0.2",
			        10,
			        382,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        254.38774490356445,
			        0,
			        "None",
			        "i7184",
			        254.38774490356445,
			        729.53125,
			        729.509765625,
			        -1,
			        0,
			        3074410
			    ],
			    [
			        1741342404,
			        1741342645,
			        241,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 1000 const 1 max_depth 3 threshold 0.2",
			        4000,
			        1000,
			        1,
			        3,
			        0.2,
			        0.8421052631578947,
			        233.5281581878662,
			        0,
			        "None",
			        "i7183",
			        233.5281581878662,
			        743.3359375,
			        743.310546875,
			        -1,
			        0,
			        3074412
			    ],
			    [
			        1741342463,
			        1741342770,
			        307,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 477 const 0.1 max_depth 2 threshold 0.2",
			        4000,
			        477,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        297.10630893707275,
			        0,
			        "None",
			        "i7186",
			        297.10630893707275,
			        740.078125,
			        740.064697265625,
			        -1,
			        0,
			        3074413
			    ],
			    [
			        1741342644,
			        1741342791,
			        147,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 1000 const 0.1 max_depth 2 threshold 0.8",
			        4000,
			        1000,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        138.36161398887634,
			        0,
			        "None",
			        "i7183",
			        138.36161398887634,
			        743.2265625,
			        743.196533203125,
			        -1,
			        0,
			        3074419
			    ],
			    [
			        1741342583,
			        1741342805,
			        222,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 726 const 1 max_depth 2 threshold 0.2",
			        10,
			        726,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        191.23841857910156,
			        0,
			        "None",
			        "i7185",
			        191.23841857910156,
			        729.4453125,
			        725.9428267045455,
			        -1,
			        0,
			        3074417
			    ],
			    [
			        1741342612,
			        1741342807,
			        195,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 765 const 0.1 max_depth 2 threshold 0.2",
			        10,
			        765,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        186.553560256958,
			        0,
			        "None",
			        "i7184",
			        186.553560256958,
			        729.35546875,
			        729.327380952381,
			        -1,
			        0,
			        3074418
			    ],
			    [
			        1741342733,
			        1741342875,
			        142,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 1000 const 1 max_depth 2 threshold 0.585240213027176",
			        4000,
			        1000,
			        1,
			        2,
			        0.585240213027176,
			        0.8421052631578947,
			        133.46737551689148,
			        0,
			        "None",
			        "i7183",
			        133.46737551689148,
			        743.22265625,
			        743.186279296875,
			        -1,
			        0,
			        3074420
			    ],
			    [
			        1741342823,
			        1741342981,
			        158,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 1000 const 1 max_depth 2 threshold 0.5520744999053603",
			        10,
			        1000,
			        1,
			        2,
			        0.5520744999053603,
			        0.8421052631578947,
			        131.02885746955872,
			        0,
			        "None",
			        "i7185",
			        131.02885746955872,
			        729.4765625,
			        729.446533203125,
			        -1,
			        0,
			        3074422
			    ],
			    [
			        1741342882,
			        1741343051,
			        169,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 865 const 1 max_depth 2 threshold 0.2",
			        4000,
			        865,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        160.86281657218933,
			        0,
			        "None",
			        "i7184",
			        160.86281657218933,
			        729.47265625,
			        729.440583881579,
			        -1,
			        0,
			        3074423
			    ],
			    [
			        1741342282,
			        1741343085,
			        803,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 537 const 0.1 max_depth 4 threshold 0.2",
			        4000,
			        537,
			        0.1,
			        4,
			        0.2,
			        0.8421052631578947,
			        795.4325838088989,
			        0,
			        "None",
			        "i7184",
			        795.4325838088989,
			        729.3828125,
			        729.376953125,
			        -1,
			        0,
			        3074408
			    ],
			    [
			        1741342793,
			        1741343110,
			        317,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 1000 const 0.1 max_depth 3 threshold 0.2",
			        4000,
			        1000,
			        0.1,
			        3,
			        0.2,
			        0.8421052631578947,
			        306.91294384002686,
			        0,
			        "None",
			        "i7186",
			        306.91294384002686,
			        740.15234375,
			        740.137665719697,
			        -1,
			        0,
			        3074421
			    ],
			    [
			        1741342946,
			        1741343141,
			        195,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2309 n_samples 758 const 1 max_depth 2 threshold 0.2",
			        2309,
			        758,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        186.98458695411682,
			        0,
			        "None",
			        "i7183",
			        186.98458695411682,
			        740.25,
			        740.2243303571429,
			        -1,
			        0,
			        3074424
			    ],
			    [
			        1741343033,
			        1741343235,
			        202,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 727 const 0.1 max_depth 2 threshold 0.2",
			        4000,
			        727,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        193.86010885238647,
			        0,
			        "None",
			        "i7185",
			        193.86010885238647,
			        729.41796875,
			        729.390625,
			        -1,
			        0,
			        3074425
			    ],
			    [
			        1741343093,
			        1741343309,
			        216,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 623 const 1 max_depth 2 threshold 0.8",
			        10,
			        623,
			        1,
			        2,
			        0.8,
			        0.8421052631578947,
			        208.42164254188538,
			        0,
			        "None",
			        "i7184",
			        208.42164254188538,
			        729.51171875,
			        711.8556385869565,
			        -1,
			        0,
			        3074427
			    ],
			    [
			        1741343154,
			        1741343332,
			        178,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 1000 const 1 max_depth 2 threshold 0.8",
			        4000,
			        1000,
			        1,
			        2,
			        0.8,
			        0.8421052631578947,
			        167.96427631378174,
			        0,
			        "None",
			        "i7186",
			        167.96427631378174,
			        742.69921875,
			        741.8447779605264,
			        -1,
			        0,
			        3074428
			    ],
			    [
			        1741343213,
			        1741343351,
			        138,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 183 const 0.1 max_depth 2 threshold 0.8",
			        10,
			        183,
			        0.1,
			        2,
			        0.8,
			        0.8384640847401522,
			        127.77091836929321,
			        0,
			        "None",
			        "i7184",
			        127.77091836929321,
			        729.53125,
			        700.9846354166667,
			        -1,
			        0,
			        3074429
			    ],
			    [
			        1741343303,
			        1741343548,
			        245,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 1000 const 1 max_depth 3 threshold 0.8",
			        4000,
			        1000,
			        1,
			        3,
			        0.8,
			        0.8421052631578947,
			        236.28960752487183,
			        0,
			        "None",
			        "i7185",
			        236.28960752487183,
			        729.3515625,
			        729.3314302884615,
			        -1,
			        0,
			        3074430
			    ],
			    [
			        1741342523,
			        1741343574,
			        1051,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3366 n_samples 158 const 1 max_depth 4 threshold 0.2",
			        3366,
			        158,
			        1,
			        4,
			        0.2,
			        0.8421052631578947,
			        1021.5599634647369,
			        0,
			        "None",
			        "i7185",
			        1021.5599634647369,
			        729.3046875,
			        607.5478050595239,
			        -1,
			        0,
			        3074415
			    ],
			    [
			        1741343423,
			        1741343621,
			        198,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3467 n_samples 752 const 0.6171805272846688 max_depth 2 threshold 0.2",
			        3467,
			        752,
			        0.6171805272846688,
			        2,
			        0.2,
			        0.8421052631578947,
			        187.14860606193542,
			        0,
			        "None",
			        "i7184",
			        187.14860606193542,
			        729.41796875,
			        729.3982514880952,
			        -1,
			        0,
			        3074432
			    ],
			    [
			        1741343484,
			        1741343660,
			        176,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 833 const 0.1 max_depth 2 threshold 0.8",
			        4000,
			        833,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        168.41724348068237,
			        0,
			        "None",
			        "i7184",
			        168.41724348068237,
			        729.5,
			        729.46484375,
			        -1,
			        0,
			        3074433
			    ],
			    [
			        1741343544,
			        1741343692,
			        148,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 1000 const 1 max_depth 2 threshold 0.2",
			        10,
			        1000,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        133.65855431556702,
			        0,
			        "None",
			        "i7183",
			        133.65855431556702,
			        740.171875,
			        740.11279296875,
			        -1,
			        0,
			        3074435
			    ],
			    [
			        1741343364,
			        1741343693,
			        329,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 473 n_samples 391 const 0.497419440795794 max_depth 2 threshold 0.2",
			        473,
			        391,
			        0.497419440795794,
			        2,
			        0.2,
			        0.8421052631578947,
			        316.46440267562866,
			        0,
			        "None",
			        "i7186",
			        316.46440267562866,
			        743.359375,
			        724.1539522058823,
			        -1,
			        0,
			        3074431
			    ],
			    [
			        1741343604,
			        1741343822,
			        218,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 649 const 0.1 max_depth 2 threshold 0.8",
			        10,
			        649,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        209.90480399131775,
			        0,
			        "None",
			        "i7185",
			        209.90480399131775,
			        729.47265625,
			        729.4439538043479,
			        -1,
			        0,
			        3074436
			    ],
			    [
			        1741343693,
			        1741343907,
			        214,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 661 const 1 max_depth 2 threshold 0.8",
			        4000,
			        661,
			        1,
			        2,
			        0.8,
			        0.8421052631578947,
			        205.58825302124023,
			        0,
			        "None",
			        "i7185",
			        205.58825302124023,
			        729.51171875,
			        729.4908288043479,
			        -1,
			        0,
			        3074437
			    ],
			    [
			        1741343754,
			        1741343935,
			        181,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 155 const 0.1 max_depth 2 threshold 0.8",
			        10,
			        155,
			        0.1,
			        2,
			        0.8,
			        0.8414432307183052,
			        163.79181051254272,
			        0,
			        "None",
			        "i7186",
			        163.79181051254272,
			        743.58984375,
			        740.1208881578947,
			        -1,
			        0,
			        3074439
			    ],
			    [
			        1741343903,
			        1741344125,
			        222,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1250 n_samples 603 const 1 max_depth 2 threshold 0.2",
			        1250,
			        603,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        212.4726059436798,
			        0,
			        "None",
			        "i7184",
			        212.4726059436798,
			        729.50390625,
			        729.4763997395834,
			        -1,
			        0,
			        3074442
			    ],
			    [
			        1741343843,
			        1741344127,
			        284,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 892 const 1 max_depth 3 threshold 0.8",
			        10,
			        892,
			        1,
			        3,
			        0.8,
			        0.8421052631578947,
			        275.8343503475189,
			        0,
			        "None",
			        "i7185",
			        275.8343503475189,
			        729.3828125,
			        729.3626302083334,
			        -1,
			        0,
			        3074440
			    ],
			    [
			        1741344083,
			        1741344147,
			        64,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 150 const 0.8384424009317348 max_depth 2 threshold 0.8",
			        10,
			        150,
			        0.8384424009317348,
			        2,
			        0.8,
			        0.8411122144985105,
			        55.652477979660034,
			        0,
			        "None",
			        "i7184",
			        55.652477979660034,
			        729.40234375,
			        729.34326171875,
			        -1,
			        0,
			        3074446
			    ],
			    [
			        1741344023,
			        1741344238,
			        215,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 100 const 0.1 max_depth 3 threshold 0.8",
			        4000,
			        100,
			        0.1,
			        3,
			        0.8,
			        0.8391261171797418,
			        207.29858946800232,
			        0,
			        "None",
			        "i7185",
			        207.29858946800232,
			        729.4453125,
			        725.550441576087,
			        -1,
			        0,
			        3074444
			    ],
			    [
			        1741343964,
			        1741344341,
			        377,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3994 n_samples 889 const 1 max_depth 3 threshold 0.8",
			        3994,
			        889,
			        1,
			        3,
			        0.8,
			        0.8421052631578947,
			        365.72112822532654,
			        0,
			        "None",
			        "i7186",
			        365.72112822532654,
			        740.26953125,
			        740.2571113782051,
			        -1,
			        0,
			        3074443
			    ],
			    [
			        1741344233,
			        1741344343,
			        110,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 179 const 0.8165442916567045 max_depth 2 threshold 0.8",
			        10,
			        179,
			        0.8165442916567045,
			        2,
			        0.8,
			        0.8364779874213837,
			        102.07501888275146,
			        0,
			        "None",
			        "i7184",
			        102.07501888275146,
			        729.4453125,
			        729.2253605769231,
			        -1,
			        0,
			        3074450
			    ],
			    [
			        1741344114,
			        1741344363,
			        249,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2785 n_samples 1000 const 1 max_depth 3 threshold 0.8",
			        2785,
			        1000,
			        1,
			        3,
			        0.8,
			        0.8421052631578947,
			        239.05204510688782,
			        0,
			        "None",
			        "i7183",
			        239.05204510688782,
			        743.421875,
			        743.3990384615385,
			        -1,
			        0,
			        3074447
			    ],
			    [
			        1741344173,
			        1741344411,
			        238,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2327 n_samples 1000 const 1 max_depth 3 threshold 0.2",
			        2327,
			        1000,
			        1,
			        3,
			        0.2,
			        0.8421052631578947,
			        229.44760060310364,
			        0,
			        "None",
			        "i7185",
			        229.44760060310364,
			        729.484375,
			        729.458125,
			        -1,
			        0,
			        3074449
			    ],
			    [
			        1741344293,
			        1741344490,
			        197,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1025 n_samples 748 const 0.1 max_depth 2 threshold 0.8",
			        1025,
			        748,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        188.10675239562988,
			        0,
			        "None",
			        "i7185",
			        188.10675239562988,
			        729.5625,
			        729.531994047619,
			        -1,
			        0,
			        3074452
			    ],
			    [
			        1741344354,
			        1741344529,
			        175,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 829 n_samples 1000 const 1 max_depth 2 threshold 0.2",
			        829,
			        1000,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        165.06386876106262,
			        0,
			        "None",
			        "i7186",
			        165.06386876106262,
			        743.41796875,
			        743.3957648026316,
			        -1,
			        0,
			        3074454
			    ],
			    [
			        1741344443,
			        1741344587,
			        144,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 1000 const 0.1 max_depth 2 threshold 0.8",
			        10,
			        1000,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        134.86658143997192,
			        0,
			        "None",
			        "i7185",
			        134.86658143997192,
			        729.4453125,
			        729.40576171875,
			        -1,
			        0,
			        3074466
			    ],
			    [
			        1741344504,
			        1741344646,
			        142,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1004 n_samples 1000 const 0.1 max_depth 2 threshold 0.2",
			        1004,
			        1000,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        134.64903783798218,
			        0,
			        "None",
			        "i7185",
			        134.64903783798218,
			        729.484375,
			        729.454345703125,
			        -1,
			        0,
			        3074468
			    ],
			    [
			        1741344383,
			        1741344661,
			        278,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1570 n_samples 914 const 1 max_depth 3 threshold 0.2",
			        1570,
			        914,
			        1,
			        3,
			        0.2,
			        0.8421052631578947,
			        270.1400408744812,
			        0,
			        "None",
			        "i7184",
			        270.1400408744812,
			        729.37890625,
			        729.3560075431035,
			        -1,
			        0,
			        3074456
			    ],
			    [
			        1741344533,
			        1741344675,
			        142,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2604 n_samples 1000 const 0.1 max_depth 2 threshold 0.8",
			        2604,
			        1000,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        133.99442648887634,
			        0,
			        "None",
			        "i7184",
			        133.99442648887634,
			        729.3671875,
			        729.326904296875,
			        -1,
			        0,
			        3074469
			    ],
			    [
			        1741344654,
			        1741344863,
			        209,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2559 n_samples 709 const 0.1 max_depth 2 threshold 0.8",
			        2559,
			        709,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        200.99929022789001,
			        0,
			        "None",
			        "i7185",
			        200.99929022789001,
			        729.42578125,
			        729.3972486413044,
			        -1,
			        0,
			        3074472
			    ],
			    [
			        1741344714,
			        1741344875,
			        161,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 971 n_samples 915 const 1 max_depth 2 threshold 0.8",
			        971,
			        915,
			        1,
			        2,
			        0.8,
			        0.8421052631578947,
			        152.95649003982544,
			        0,
			        "None",
			        "i7185",
			        152.95649003982544,
			        729.3046875,
			        729.2810329861111,
			        -1,
			        0,
			        3074476
			    ],
			    [
			        1741344595,
			        1741344947,
			        352,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2099 n_samples 930 const 0.1 max_depth 3 threshold 0.8",
			        2099,
			        930,
			        0.1,
			        3,
			        0.8,
			        0.8421052631578947,
			        342.8477096557617,
			        0,
			        "None",
			        "i7186",
			        342.8477096557617,
			        740.359375,
			        740.3462837837837,
			        -1,
			        0,
			        3074470
			    ],
			    [
			        1741344774,
			        1741344955,
			        181,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2854 n_samples 822 const 0.1 max_depth 2 threshold 0.8",
			        2854,
			        822,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        173.24058365821838,
			        0,
			        "None",
			        "i7184",
			        173.24058365821838,
			        729.4609375,
			        729.4283203125,
			        -1,
			        0,
			        3074478
			    ],
			    [
			        1741344864,
			        1741345068,
			        204,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1075 n_samples 724 const 1 max_depth 2 threshold 0.2",
			        1075,
			        724,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        194.76916337013245,
			        0,
			        "None",
			        "i7183",
			        194.76916337013245,
			        740.26953125,
			        740.2443181818181,
			        -1,
			        0,
			        3074482
			    ],
			    [
			        1741344803,
			        1741345071,
			        268,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3195 n_samples 354 const 0.1 max_depth 2 threshold 0.8",
			        3195,
			        354,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        260.50256609916687,
			        0,
			        "None",
			        "i7184",
			        260.50256609916687,
			        729.45703125,
			        729.4338631465517,
			        -1,
			        0,
			        3074480
			    ],
			    [
			        1741345104,
			        1741345250,
			        146,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 349 n_samples 962 const 1 max_depth 2 threshold 0.31624789968139216",
			        349,
			        962,
			        1,
			        2,
			        0.31624789968139216,
			        0.8421052631578947,
			        138.56706357002258,
			        0,
			        "None",
			        "i7184",
			        138.56706357002258,
			        729.48046875,
			        729.446044921875,
			        -1,
			        0,
			        3074487
			    ],
			    [
			        1741345044,
			        1741345277,
			        233,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1778 n_samples 167 const 1 max_depth 2 threshold 0.46236429864174716",
			        1778,
			        167,
			        1,
			        2,
			        0.46236429864174716,
			        0.8444223766964581,
			        225.00849080085754,
			        0,
			        "None",
			        "i7185",
			        225.00849080085754,
			        729.390625,
			        729.25421875,
			        -1,
			        0,
			        3074486
			    ],
			    [
			        1741344924,
			        1741345296,
			        372,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 687 const 1 max_depth 3 threshold 0.2",
			        10,
			        687,
			        1,
			        3,
			        0.2,
			        0.8421052631578947,
			        364.6822371482849,
			        0,
			        "None",
			        "i7185",
			        364.6822371482849,
			        729.4453125,
			        729.4296875,
			        -1,
			        0,
			        3074483
			    ],
			    [
			        1741345133,
			        1741345297,
			        164,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1943 n_samples 167 const 0.7023233425334738 max_depth 2 threshold 0.5068996631212606",
			        1943,
			        167,
			        0.7023233425334738,
			        2,
			        0.5068996631212606,
			        0.8444223766964581,
			        156.05900239944458,
			        0,
			        "None",
			        "i7184",
			        156.05900239944458,
			        729.46875,
			        729.0674913194445,
			        -1,
			        0,
			        3074490
			    ],
			    [
			        1741344985,
			        1741345304,
			        319,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2006 n_samples 179 const 1 max_depth 2 threshold 0.3608703354855905",
			        2006,
			        179,
			        1,
			        2,
			        0.3608703354855905,
			        0.8421052631578947,
			        309.0221939086914,
			        0,
			        "None",
			        "i7186",
			        309.0221939086914,
			        743.21484375,
			        743.2005208333334,
			        -1,
			        0,
			        3074485
			    ],
			    [
			        1741345194,
			        1741345335,
			        141,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 770 n_samples 155 const 0.8334271703254782 max_depth 2 threshold 0.5682873380792655",
			        770,
			        155,
			        0.8334271703254782,
			        2,
			        0.5682873380792655,
			        0.8381330685203575,
			        132.65871834754944,
			        0,
			        "None",
			        "i7183",
			        132.65871834754944,
			        743.140625,
			        741.361328125,
			        -1,
			        0,
			        3074492
			    ],
			    [
			        1741345226,
			        1741345421,
			        195,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1038 n_samples 165 const 1 max_depth 2 threshold 0.40805101932348886",
			        1038,
			        165,
			        1,
			        2,
			        0.40805101932348886,
			        0.8477325388944058,
			        187.79730772972107,
			        0,
			        "None",
			        "i7183",
			        187.79730772972107,
			        740.01953125,
			        736.03515625,
			        -1,
			        0,
			        3074493
			    ],
			    [
			        1741345434,
			        1741345481,
			        47,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 120 const 0.9231833561729487 max_depth 2 threshold 0.8",
			        4000,
			        120,
			        0.9231833561729487,
			        2,
			        0.8,
			        0.8354849387619994,
			        38.994250535964966,
			        0,
			        "None",
			        "i7185",
			        38.994250535964966,
			        729.43359375,
			        726.69921875,
			        -1,
			        0,
			        3074499
			    ],
			    [
			        1741345374,
			        1741345512,
			        138,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 16 n_samples 152 const 0.6102968438819942 max_depth 2 threshold 0.4961171629257964",
			        16,
			        152,
			        0.6102968438819942,
			        2,
			        0.4961171629257964,
			        0.8381330685203575,
			        130.24977803230286,
			        0,
			        "None",
			        "i7185",
			        130.24977803230286,
			        729.34375,
			        729.302734375,
			        -1,
			        0,
			        3074496
			    ],
			    [
			        1741345254,
			        1741345563,
			        309,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 594 n_samples 161 const 1 max_depth 2 threshold 0.3276700737596883",
			        594,
			        161,
			        1,
			        2,
			        0.3276700737596883,
			        0.8414432307183052,
			        256.3810577392578,
			        0,
			        "None",
			        "i7182",
			        256.3810577392578,
			        740.20703125,
			        740.0472935267857,
			        -1,
			        0,
			        3074494
			    ],
			    [
			        1741345494,
			        1741345598,
			        104,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2682 n_samples 100 const 0.8963037756183044 max_depth 2 threshold 0.4192447172804436",
			        2682,
			        100,
			        0.8963037756183044,
			        2,
			        0.4192447172804436,
			        0.8351539225422046,
			        96.76358079910278,
			        0,
			        "None",
			        "i7185",
			        96.76358079910278,
			        729.43359375,
			        728.4016927083334,
			        -1,
			        0,
			        3074509
			    ],
			    [
			        1741345315,
			        1741345601,
			        286,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 654 n_samples 156 const 1 max_depth 2 threshold 0.49112757659108663",
			        654,
			        156,
			        1,
			        2,
			        0.49112757659108663,
			        0.8440913604766633,
			        276.19097542762756,
			        0,
			        "None",
			        "i7186",
			        276.19097542762756,
			        740.23046875,
			        740.1563802083333,
			        -1,
			        0,
			        3074495
			    ],
			    [
			        1741345554,
			        1741345665,
			        111,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1996 n_samples 100 const 0.8313229894835913 max_depth 2 threshold 0.45467245268389395",
			        1996,
			        100,
			        0.8313229894835913,
			        2,
			        0.45467245268389395,
			        0.8354849387619994,
			        103.39845943450928,
			        0,
			        "None",
			        "i7185",
			        103.39845943450928,
			        729.44921875,
			        726.8587740384615,
			        -1,
			        0,
			        3074511
			    ],
			    [
			        1741345615,
			        1741345701,
			        86,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1168 n_samples 100 const 0.8423583595170733 max_depth 2 threshold 0.7197208235083473",
			        1168,
			        100,
			        0.8423583595170733,
			        2,
			        0.7197208235083473,
			        0.8328368090036412,
			        74.80158948898315,
			        0,
			        "None",
			        "i7186",
			        74.80158948898315,
			        743.1640625,
			        741.74765625,
			        -1,
			        0,
			        3074521
			    ],
			    [
			        1741345674,
			        1741345765,
			        91,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 723 n_samples 109 const 0.7410088890458493 max_depth 2 threshold 0.4115937677822275",
			        723,
			        109,
			        0.7410088890458493,
			        2,
			        0.4115937677822275,
			        0.8318437603442569,
			        83.12713575363159,
			        0,
			        "None",
			        "i7185",
			        83.12713575363159,
			        729.46484375,
			        727.5649857954545,
			        -1,
			        0,
			        3074522
			    ],
			    [
			        1741345736,
			        1741345823,
			        87,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 732 n_samples 139 const 0.6151318865207605 max_depth 2 threshold 0.8",
			        732,
			        139,
			        0.6151318865207605,
			        2,
			        0.8,
			        0.8411122144985105,
			        77.52669072151184,
			        0,
			        "None",
			        "i7186",
			        77.52669072151184,
			        741.8984375,
			        740.05546875,
			        -1,
			        0,
			        3074523
			    ],
			    [
			        1741345856,
			        1741345926,
			        70,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2713 n_samples 146 const 0.4837768981116485 max_depth 2 threshold 0.8",
			        2713,
			        146,
			        0.4837768981116485,
			        2,
			        0.8,
			        0.8368090036411784,
			        57.72355794906616,
			        0,
			        "None",
			        "i7186",
			        57.72355794906616,
			        740.578125,
			        739.3701171875,
			        -1,
			        0,
			        3074527
			    ],
			    [
			        1741345794,
			        1741345987,
			        193,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1183 n_samples 170 const 0.4463061752823993 max_depth 2 threshold 0.44179156439390865",
			        1183,
			        170,
			        0.4463061752823993,
			        2,
			        0.44179156439390865,
			        0.8454154253558425,
			        184.50433373451233,
			        0,
			        "None",
			        "i7185",
			        184.50433373451233,
			        729.4921875,
			        729.135974702381,
			        -1,
			        0,
			        3074525
			    ],
			    [
			        1741345894,
			        1741346046,
			        152,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1188 n_samples 970 const 0.35621090748117895 max_depth 2 threshold 0.6228031105857975",
			        1188,
			        970,
			        0.35621090748117895,
			        2,
			        0.6228031105857975,
			        0.8421052631578947,
			        144.8638195991516,
			        0,
			        "None",
			        "i7185",
			        144.8638195991516,
			        729.40625,
			        729.3779871323529,
			        -1,
			        0,
			        3074528
			    ],
			    [
			        1741346065,
			        1741346117,
			        52,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 100 const 0.7294595105123461 max_depth 2 threshold 0.8",
			        4000,
			        100,
			        0.7294595105123461,
			        2,
			        0.8,
			        0.837471036080768,
			        44.09569787979126,
			        0,
			        "None",
			        "i7185",
			        44.09569787979126,
			        729.25,
			        725.9972098214286,
			        -1,
			        0,
			        3074543
			    ],
			    [
			        1741346005,
			        1741346150,
			        145,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3340 n_samples 1000 const 0.48472112044032417 max_depth 2 threshold 0.3877885722869348",
			        3340,
			        1000,
			        0.48472112044032417,
			        2,
			        0.3877885722869348,
			        0.8421052631578947,
			        136.81186056137085,
			        0,
			        "None",
			        "i7185",
			        136.81186056137085,
			        729.42578125,
			        729.395751953125,
			        -1,
			        0,
			        3074541
			    ],
			    [
			        1741345947,
			        1741346198,
			        251,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3198 n_samples 167 const 0.7453786352219259 max_depth 2 threshold 0.456631638046553",
			        3198,
			        167,
			        0.7453786352219259,
			        2,
			        0.456631638046553,
			        0.8470705064548163,
			        241.02872395515442,
			        0,
			        "None",
			        "i7186",
			        241.02872395515442,
			        745.08984375,
			        744.9519675925926,
			        -1,
			        0,
			        3074529
			    ],
			    [
			        1741346102,
			        1741346246,
			        144,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 1000 const 0.6802763925965108 max_depth 2 threshold 0.3452149070408943",
			        10,
			        1000,
			        0.6802763925965108,
			        2,
			        0.3452149070408943,
			        0.8421052631578947,
			        131.94630479812622,
			        0,
			        "None",
			        "i7184",
			        131.94630479812622,
			        729.34765625,
			        729.305908203125,
			        -1,
			        0,
			        3074544
			    ],
			    [
			        1741346198,
			        1741346347,
			        149,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1996 n_samples 1000 const 0.1 max_depth 2 threshold 0.6637839360412343",
			        1996,
			        1000,
			        0.1,
			        2,
			        0.6637839360412343,
			        0.8421052631578947,
			        135.78647899627686,
			        0,
			        "None",
			        "i7185",
			        135.78647899627686,
			        729.41796875,
			        729.387939453125,
			        -1,
			        0,
			        3074546
			    ],
			    [
			        1741346268,
			        1741346478,
			        210,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2992 n_samples 961 const 0.8924164640854726 max_depth 2 threshold 0.494042605240148",
			        2992,
			        961,
			        0.8924164640854726,
			        2,
			        0.494042605240148,
			        0.8421052631578947,
			        184.41989874839783,
			        0,
			        "None",
			        "i7186",
			        184.41989874839783,
			        740.04296875,
			        740.0200892857143,
			        -1,
			        0,
			        3074547
			    ],
			    [
			        1741346315,
			        1741346483,
			        168,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3167 n_samples 154 const 0.5115810237841725 max_depth 2 threshold 0.472314607839981",
			        3167,
			        154,
			        0.5115810237841725,
			        2,
			        0.472314607839981,
			        0.8394571333995365,
			        156.66251397132874,
			        0,
			        "None",
			        "i7185",
			        156.66251397132874,
			        729.55859375,
			        728.591796875,
			        -1,
			        0,
			        3074549
			    ],
			    [
			        1741346365,
			        1741346528,
			        163,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3197 n_samples 923 const 0.1 max_depth 2 threshold 0.6097447847776273",
			        3197,
			        923,
			        0.1,
			        2,
			        0.6097447847776273,
			        0.8421052631578947,
			        155.12299609184265,
			        0,
			        "None",
			        "i7185",
			        155.12299609184265,
			        729.41015625,
			        729.3776041666666,
			        -1,
			        0,
			        3074550
			    ],
			    [
			        1741346486,
			        1741346571,
			        85,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 392 n_samples 145 const 0.6205071462851441 max_depth 2 threshold 0.8",
			        392,
			        145,
			        0.6205071462851441,
			        2,
			        0.8,
			        0.8331678252234359,
			        74.90152192115784,
			        0,
			        "None",
			        "i7186",
			        74.90152192115784,
			        740.19140625,
			        738.25,
			        -1,
			        0,
			        3074554
			    ],
			    [
			        1741346424,
			        1741346582,
			        158,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 383 n_samples 916 const 1 max_depth 2 threshold 0.5044160334096889",
			        383,
			        916,
			        1,
			        2,
			        0.5044160334096889,
			        0.8421052631578947,
			        149.22320556640625,
			        0,
			        "None",
			        "i7184",
			        149.22320556640625,
			        729.44140625,
			        729.4113051470588,
			        -1,
			        0,
			        3074553
			    ],
			    [
			        1741346545,
			        1741346636,
			        91,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3867 n_samples 100 const 0.7458756546336632 max_depth 2 threshold 0.5785928567770353",
			        3867,
			        100,
			        0.7458756546336632,
			        2,
			        0.5785928567770353,
			        0.8341608738828202,
			        82.19461584091187,
			        0,
			        "None",
			        "i7185",
			        82.19461584091187,
			        729.4140625,
			        726.62109375,
			        -1,
			        0,
			        3074555
			    ],
			    [
			        1741346726,
			        1741346841,
			        115,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3511 n_samples 160 const 0.5581213803266631 max_depth 2 threshold 0.7186245676703537",
			        3511,
			        160,
			        0.5581213803266631,
			        2,
			        0.7186245676703537,
			        0.8341608738828202,
			        106.83410024642944,
			        0,
			        "None",
			        "i7185",
			        106.83410024642944,
			        729.45703125,
			        728.7572115384615,
			        -1,
			        0,
			        3074557
			    ],
			    [
			        1741346666,
			        1741346940,
			        274,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2026 n_samples 179 const 0.26857490984279964 max_depth 2 threshold 0.29203263798810614",
			        2026,
			        179,
			        0.26857490984279964,
			        2,
			        0.29203263798810614,
			        0.8397881496193313,
			        264.04254722595215,
			        0,
			        "None",
			        "i7186",
			        264.04254722595215,
			        743.47265625,
			        743.4583782327586,
			        -1,
			        0,
			        3074556
			    ],
			    [
			        1741346786,
			        1741346974,
			        188,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 926 n_samples 814 const 1 max_depth 2 threshold 0.2",
			        926,
			        814,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        175.93284678459167,
			        0,
			        "None",
			        "i7185",
			        175.93284678459167,
			        729.5,
			        720.9669921875,
			        -1,
			        0,
			        3074558
			    ],
			    [
			        1741346907,
			        1741347023,
			        116,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 450 n_samples 156 const 0.5866078621330868 max_depth 2 threshold 0.7634575930398906",
			        450,
			        156,
			        0.5866078621330868,
			        2,
			        0.7634575930398906,
			        0.8242303872889771,
			        95.4947419166565,
			        0,
			        "None",
			        "i7185",
			        95.4947419166565,
			        729.390625,
			        728.9554036458334,
			        -1,
			        0,
			        3074561
			    ],
			    [
			        1741346845,
			        1741347064,
			        219,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1570 n_samples 176 const 0.31891098083896074 max_depth 2 threshold 0.37069069281023825",
			        1570,
			        176,
			        0.31891098083896074,
			        2,
			        0.37069069281023825,
			        0.8404501820589209,
			        211.03057432174683,
			        0,
			        "None",
			        "i7184",
			        211.03057432174683,
			        729.37109375,
			        729.31982421875,
			        -1,
			        0,
			        3074560
			    ],
			    [
			        1741347086,
			        1741347274,
			        188,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 219 n_samples 789 const 1 max_depth 2 threshold 0.42210403269018415",
			        219,
			        789,
			        1,
			        2,
			        0.42210403269018415,
			        0.8421052631578947,
			        178.2729663848877,
			        0,
			        "None",
			        "i7185",
			        178.2729663848877,
			        729.453125,
			        724.2310546875,
			        -1,
			        0,
			        3074563
			    ],
			    [
			        1741346996,
			        1741347320,
			        324,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 256 n_samples 183 const 0.29327190915312684 max_depth 2 threshold 0.24925399457689448",
			        256,
			        183,
			        0.29327190915312684,
			        2,
			        0.24925399457689448,
			        0.8407811982787157,
			        312.7130084037781,
			        0,
			        "None",
			        "i7186",
			        312.7130084037781,
			        742.73828125,
			        741.5687040441177,
			        -1,
			        0,
			        3074562
			    ],
			    [
			        1741347146,
			        1741347328,
			        182,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3413 n_samples 844 const 0.1 max_depth 2 threshold 0.3676549490984243",
			        3413,
			        844,
			        0.1,
			        2,
			        0.3676549490984243,
			        0.8421052631578947,
			        170.80306243896484,
			        0,
			        "None",
			        "i7185",
			        170.80306243896484,
			        729.46484375,
			        724.2255859375,
			        -1,
			        0,
			        3074566
			    ],
			    [
			        1741347295,
			        1741347355,
			        60,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 100 const 0.8985714481055309 max_depth 2 threshold 0.8",
			        10,
			        100,
			        0.8985714481055309,
			        2,
			        0.8,
			        0.834491890102615,
			        49.95339512825012,
			        0,
			        "None",
			        "i7185",
			        49.95339512825012,
			        729.37109375,
			        729.3035714285714,
			        -1,
			        0,
			        3074570
			    ],
			    [
			        1741347205,
			        1741347381,
			        176,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 477 n_samples 840 const 1 max_depth 2 threshold 0.3901332657706538",
			        477,
			        840,
			        1,
			        2,
			        0.3901332657706538,
			        0.8421052631578947,
			        165.10336828231812,
			        0,
			        "None",
			        "i7184",
			        165.10336828231812,
			        720.69140625,
			        719.831208881579,
			        -1,
			        0,
			        3074567
			    ],
			    [
			        1741347265,
			        1741347472,
			        207,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 45 n_samples 712 const 0.6174656718647569 max_depth 2 threshold 0.5715886397001965",
			        45,
			        712,
			        0.6174656718647569,
			        2,
			        0.5715886397001965,
			        0.8421052631578947,
			        195.5031135082245,
			        0,
			        "None",
			        "i7184",
			        195.5031135082245,
			        729.4765625,
			        722.5014204545455,
			        -1,
			        0,
			        3074569
			    ],
			    [
			        1741347386,
			        1741347569,
			        183,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3955 n_samples 121 const 0.7026413226130392 max_depth 2 threshold 0.5026441102916981",
			        3955,
			        121,
			        0.7026413226130392,
			        2,
			        0.5026441102916981,
			        0.8397881496193313,
			        171.93330216407776,
			        0,
			        "None",
			        "i7186",
			        171.93330216407776,
			        742.72265625,
			        741.048828125,
			        -1,
			        0,
			        3074571
			    ],
			    [
			        1741347475,
			        1741347692,
			        217,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3618 n_samples 745 const 0.1 max_depth 2 threshold 0.37574994530166334",
			        3618,
			        745,
			        0.1,
			        2,
			        0.37574994530166334,
			        0.8421052631578947,
			        188.6187081336975,
			        0,
			        "None",
			        "i7185",
			        188.6187081336975,
			        729.40234375,
			        727.9711681547619,
			        -1,
			        0,
			        3074572
			    ],
			    [
			        1741347535,
			        1741347752,
			        217,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1050 n_samples 641 const 0.6615955071321266 max_depth 2 threshold 0.5959400237503749",
			        1050,
			        641,
			        0.6615955071321266,
			        2,
			        0.5959400237503749,
			        0.8421052631578947,
			        205.9928433895111,
			        0,
			        "None",
			        "i7185",
			        205.9928433895111,
			        729.453125,
			        729.4264605978261,
			        -1,
			        0,
			        3074573
			    ],
			    [
			        1741347626,
			        1741347830,
			        204,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 610 n_samples 925 const 1 max_depth 2 threshold 0.6756164314727039",
			        610,
			        925,
			        1,
			        2,
			        0.6756164314727039,
			        0.8421052631578947,
			        189.15669560432434,
			        0,
			        "None",
			        "i7186",
			        189.15669560432434,
			        740.41796875,
			        725.0803571428571,
			        -1,
			        0,
			        3074575
			    ],
			    [
			        1741347685,
			        1741347917,
			        232,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1037 n_samples 569 const 1 max_depth 2 threshold 0.8",
			        1037,
			        569,
			        1,
			        2,
			        0.8,
			        0.8421052631578947,
			        222.14553999900818,
			        0,
			        "None",
			        "i7184",
			        222.14553999900818,
			        729.46484375,
			        729.44046875,
			        -1,
			        0,
			        3074576
			    ],
			    [
			        1741347745,
			        1741347944,
			        199,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 28 n_samples 731 const 0.8836881130674691 max_depth 2 threshold 0.36244769428738377",
			        28,
			        731,
			        0.8836881130674691,
			        2,
			        0.36244769428738377,
			        0.8421052631578947,
			        190.81832242012024,
			        0,
			        "None",
			        "i7185",
			        190.81832242012024,
			        729.29296875,
			        727.6764914772727,
			        -1,
			        0,
			        3074577
			    ],
			    [
			        1741347805,
			        1741347972,
			        167,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 695 n_samples 197 const 0.34430819007241004 max_depth 2 threshold 0.47431612197391215",
			        695,
			        197,
			        0.34430819007241004,
			        2,
			        0.47431612197391215,
			        0.8358159549817941,
			        156.65818119049072,
			        0,
			        "None",
			        "i7185",
			        156.65818119049072,
			        729.4375,
			        729.3224826388889,
			        -1,
			        0,
			        3074578
			    ],
			    [
			        1741347896,
			        1741348012,
			        116,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 244 n_samples 114 const 0.7675438087105017 max_depth 2 threshold 0.5077062944031633",
			        244,
			        114,
			        0.7675438087105017,
			        2,
			        0.5077062944031633,
			        0.8381330685203575,
			        100.39771628379822,
			        0,
			        "None",
			        "i7186",
			        100.39771628379822,
			        743.1640625,
			        742.6871995192307,
			        -1,
			        0,
			        3074579
			    ],
			    [
			        1741347955,
			        1741348126,
			        171,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3642 n_samples 193 const 0.3443261231656472 max_depth 2 threshold 0.48333982392837005",
			        3642,
			        193,
			        0.3443261231656472,
			        2,
			        0.48333982392837005,
			        0.8354849387619994,
			        162.33076071739197,
			        0,
			        "None",
			        "i7185",
			        162.33076071739197,
			        729.4609375,
			        728.6071134868421,
			        -1,
			        0,
			        3074580
			    ],
			    [
			        1741348046,
			        1741348232,
			        186,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3908 n_samples 1000 const 0.5662969264532114 max_depth 2 threshold 0.6795254499878753",
			        3908,
			        1000,
			        0.5662969264532114,
			        2,
			        0.6795254499878753,
			        0.8421052631578947,
			        175.74856162071228,
			        0,
			        "None",
			        "i7186",
			        175.74856162071228,
			        740.78125,
			        740.7578125,
			        -1,
			        0,
			        3074583
			    ],
			    [
			        1741348136,
			        1741348376,
			        240,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3162 n_samples 538 const 1 max_depth 2 threshold 0.3458462643601356",
			        3162,
			        538,
			        1,
			        2,
			        0.3458462643601356,
			        0.8421052631578947,
			        228.37713861465454,
			        0,
			        "None",
			        "i7185",
			        228.37713861465454,
			        704.1875,
			        704.163125,
			        -1,
			        0,
			        3074585
			    ],
			    [
			        1741348196,
			        1741348403,
			        207,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 160 n_samples 771 const 0.1 max_depth 2 threshold 0.5745890212834859",
			        160,
			        771,
			        0.1,
			        2,
			        0.5745890212834859,
			        0.8421052631578947,
			        186.98388576507568,
			        0,
			        "None",
			        "i7185",
			        186.98388576507568,
			        729.4453125,
			        729.4246651785714,
			        -1,
			        0,
			        3074586
			    ],
			    [
			        1741348375,
			        1741348468,
			        93,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3447 n_samples 147 const 0.6416932555099097 max_depth 2 threshold 0.6565527503865792",
			        3447,
			        147,
			        0.6416932555099097,
			        2,
			        0.6565527503865792,
			        0.834491890102615,
			        77.83002972602844,
			        0,
			        "None",
			        "i7184",
			        77.83002972602844,
			        729.40234375,
			        726.56796875,
			        -1,
			        0,
			        3074590
			    ],
			    [
			        1741348296,
			        1741348519,
			        223,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 522 n_samples 888 const 0.1 max_depth 2 threshold 0.4557024218401017",
			        522,
			        888,
			        0.1,
			        2,
			        0.4557024218401017,
			        0.8421052631578947,
			        208.6066484451294,
			        0,
			        "None",
			        "i7186",
			        208.6066484451294,
			        743.40625,
			        743.37890625,
			        -1,
			        0,
			        3074588
			    ],
			    [
			        1741348556,
			        1741348619,
			        63,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 360 n_samples 121 const 0.7029948924647084 max_depth 2 threshold 0.8",
			        360,
			        121,
			        0.7029948924647084,
			        2,
			        0.8,
			        0.8291956305858987,
			        53.510648250579834,
			        0,
			        "None",
			        "i7186",
			        53.510648250579834,
			        741.9375,
			        741.56591796875,
			        -1,
			        0,
			        3074595
			    ],
			    [
			        1741348436,
			        1741348647,
			        211,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 674 const 1 max_depth 2 threshold 0.2",
			        4000,
			        674,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        202.23282313346863,
			        0,
			        "None",
			        "i7185",
			        202.23282313346863,
			        729.578125,
			        729.5572350543479,
			        -1,
			        0,
			        3074593
			    ],
			    [
			        1741348736,
			        1741348920,
			        184,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3563 n_samples 825 const 0.1 max_depth 2 threshold 0.2",
			        3563,
			        825,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        175.62347292900085,
			        0,
			        "None",
			        "i7185",
			        175.62347292900085,
			        729.42578125,
			        729.3951171875,
			        -1,
			        0,
			        3074597
			    ],
			    [
			        1741348646,
			        1741348922,
			        276,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3110 n_samples 184 const 1 max_depth 2 threshold 0.4211650238882234",
			        3110,
			        184,
			        1,
			        2,
			        0.4211650238882234,
			        0.8470705064548163,
			        266.03049755096436,
			        0,
			        "None",
			        "i7186",
			        266.03049755096436,
			        743.25390625,
			        742.9718480603449,
			        -1,
			        0,
			        3074596
			    ],
			    [
			        1741348826,
			        1741348947,
			        121,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1813 n_samples 104 const 1 max_depth 2 threshold 0.5473664221341767",
			        1813,
			        104,
			        1,
			        2,
			        0.5473664221341767,
			        0.8275405494869249,
			        113.44368696212769,
			        0,
			        "None",
			        "i7185",
			        113.44368696212769,
			        729.47265625,
			        727.9076450892857,
			        -1,
			        0,
			        3074602
			    ],
			    [
			        1741348886,
			        1741349123,
			        237,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2117 n_samples 552 const 1 max_depth 2 threshold 0.6211788145674438",
			        2117,
			        552,
			        1,
			        2,
			        0.6211788145674438,
			        0.8421052631578947,
			        224.20892596244812,
			        0,
			        "None",
			        "i7184",
			        224.20892596244812,
			        729.35546875,
			        729.33234375,
			        -1,
			        0,
			        3074603
			    ],
			    [
			        1741348977,
			        1741349221,
			        244,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 441 n_samples 768 const 1 max_depth 2 threshold 0.6362419564238481",
			        441,
			        768,
			        1,
			        2,
			        0.6362419564238481,
			        0.8421052631578947,
			        234.53155636787415,
			        0,
			        "None",
			        "i7186",
			        234.53155636787415,
			        743.19140625,
			        743.1729266826923,
			        -1,
			        0,
			        3074604
			    ],
			    [
			        1741349066,
			        1741349297,
			        231,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3473 n_samples 587 const 0.1 max_depth 2 threshold 0.8",
			        3473,
			        587,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        222.81420969963074,
			        0,
			        "None",
			        "i7185",
			        222.81420969963074,
			        729.46484375,
			        729.441875,
			        -1,
			        0,
			        3074606
			    ],
			    [
			        1741349158,
			        1741349313,
			        155,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 871 n_samples 951 const 0.1 max_depth 2 threshold 0.2",
			        871,
			        951,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        146.89539051055908,
			        0,
			        "None",
			        "i7185",
			        146.89539051055908,
			        729.46875,
			        729.4324448529412,
			        -1,
			        0,
			        3074609
			    ],
			    [
			        1741349247,
			        1741349474,
			        227,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3955 n_samples 862 const 1 max_depth 2 threshold 0.5416852863522066",
			        3955,
			        862,
			        1,
			        2,
			        0.5416852863522066,
			        0.8421052631578947,
			        216.6868588924408,
			        0,
			        "None",
			        "i7186",
			        216.6868588924408,
			        743.42578125,
			        743.408203125,
			        -1,
			        0,
			        3074611
			    ],
			    [
			        1741349366,
			        1741349514,
			        148,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 70 n_samples 963 const 1 max_depth 2 threshold 0.2",
			        70,
			        963,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        139.44711232185364,
			        0,
			        "None",
			        "i7185",
			        139.44711232185364,
			        729.55078125,
			        729.50927734375,
			        -1,
			        0,
			        3074612
			    ],
			    [
			        1741349456,
			        1741349588,
			        132,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2510 n_samples 157 const 0.6233660536247461 max_depth 2 threshold 0.6479970927125125",
			        2510,
			        157,
			        0.6233660536247461,
			        2,
			        0.6479970927125125,
			        0.846077457795432,
			        123.66218304634094,
			        0,
			        "None",
			        "i7185",
			        123.66218304634094,
			        729.4375,
			        729.0783854166667,
			        -1,
			        0,
			        3074614
			    ],
			    [
			        1741349636,
			        1741349790,
			        154,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 941 const 1 max_depth 2 threshold 0.2",
			        4000,
			        941,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        145.2959439754486,
			        0,
			        "None",
			        "i7185",
			        145.2959439754486,
			        729.56640625,
			        729.5301011029412,
			        -1,
			        0,
			        3074618
			    ],
			    [
			        1741349517,
			        1741349794,
			        277,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 677 const 0.1 max_depth 2 threshold 0.2",
			        10,
			        677,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        267.11136507987976,
			        0,
			        "None",
			        "i7186",
			        267.11136507987976,
			        743.24609375,
			        743.2315463362069,
			        -1,
			        0,
			        3074615
			    ],
			    [
			        1741349697,
			        1741349801,
			        104,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2589 n_samples 153 const 0.6196246783356165 max_depth 2 threshold 0.743584545369211",
			        2589,
			        153,
			        0.6196246783356165,
			        2,
			        0.743584545369211,
			        0.8358159549817941,
			        96.42844080924988,
			        0,
			        "None",
			        "i7185",
			        96.42844080924988,
			        729.45703125,
			        728.173828125,
			        -1,
			        0,
			        3074622
			    ],
			    [
			        1741349786,
			        1741350062,
			        276,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1128 n_samples 317 const 0.1 max_depth 2 threshold 0.8",
			        1128,
			        317,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        264.3896713256836,
			        0,
			        "None",
			        "i7184",
			        264.3896713256836,
			        729.45703125,
			        729.4348060344828,
			        -1,
			        0,
			        3074624
			    ],
			    [
			        1741349879,
			        1741350075,
			        196,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2491 n_samples 965 const 0.1 max_depth 2 threshold 0.8",
			        2491,
			        965,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        186.94767999649048,
			        0,
			        "None",
			        "i7186",
			        186.94767999649048,
			        743.359375,
			        743.3364955357143,
			        -1,
			        0,
			        3074625
			    ],
			    [
			        1741349967,
			        1741350195,
			        228,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1095 n_samples 603 const 1 max_depth 2 threshold 0.5012906297683073",
			        1095,
			        603,
			        1,
			        2,
			        0.5012906297683073,
			        0.8421052631578947,
			        221.02748656272888,
			        0,
			        "None",
			        "i7185",
			        221.02748656272888,
			        729.44921875,
			        729.4259375,
			        -1,
			        0,
			        3074628
			    ],
			    [
			        1741350057,
			        1741350248,
			        191,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 799 const 0.1 max_depth 2 threshold 0.31429469792094034",
			        4000,
			        799,
			        0.1,
			        2,
			        0.31429469792094034,
			        0.8421052631578947,
			        183.1832766532898,
			        0,
			        "None",
			        "i7185",
			        183.1832766532898,
			        729.58203125,
			        729.5505952380952,
			        -1,
			        0,
			        3074630
			    ],
			    [
			        1741350267,
			        1741350439,
			        172,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 860 const 1 max_depth 2 threshold 0.8",
			        10,
			        860,
			        1,
			        2,
			        0.8,
			        0.8421052631578947,
			        163.00191402435303,
			        0,
			        "None",
			        "i7185",
			        163.00191402435303,
			        729.41015625,
			        729.3791118421053,
			        -1,
			        0,
			        3074633
			    ],
			    [
			        1741350177,
			        1741350498,
			        321,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3245 n_samples 466 const 1 max_depth 2 threshold 0.520898725204308",
			        3245,
			        466,
			        1,
			        2,
			        0.520898725204308,
			        0.8421052631578947,
			        311.3918704986572,
			        0,
			        "None",
			        "i7186",
			        311.3918704986572,
			        740.44140625,
			        740.4271599264706,
			        -1,
			        0,
			        3074632
			    ],
			    [
			        1741350447,
			        1741350621,
			        174,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 195 n_samples 854 const 0.1 max_depth 2 threshold 0.2",
			        195,
			        854,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        166.5630943775177,
			        0,
			        "None",
			        "i7185",
			        166.5630943775177,
			        729.48046875,
			        729.4512746710526,
			        -1,
			        0,
			        3074636
			    ],
			    [
			        1741350537,
			        1741350677,
			        140,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3682 n_samples 152 const 0.6128431746490842 max_depth 2 threshold 0.7771025513636148",
			        3682,
			        152,
			        0.6128431746490842,
			        2,
			        0.7771025513636148,
			        0.8407811982787157,
			        130.41953229904175,
			        0,
			        "None",
			        "i7186",
			        130.41953229904175,
			        740.51953125,
			        737.726806640625,
			        -1,
			        0,
			        3074638
			    ],
			    [
			        1741350657,
			        1741350745,
			        88,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3304 n_samples 131 const 0.6507632367734715 max_depth 2 threshold 0.8",
			        3304,
			        131,
			        0.6507632367734715,
			        2,
			        0.8,
			        0.8364779874213837,
			        78.71232891082764,
			        0,
			        "None",
			        "i7185",
			        78.71232891082764,
			        729.484375,
			        726.83515625,
			        -1,
			        0,
			        3074639
			    ],
			    [
			        1741350808,
			        1741351154,
			        346,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3234 n_samples 332 const 0.1 max_depth 2 threshold 0.49191645710361404",
			        3234,
			        332,
			        0.1,
			        2,
			        0.49191645710361404,
			        0.8421052631578947,
			        335.1663751602173,
			        0,
			        "None",
			        "i7186",
			        335.1663751602173,
			        740.3515625,
			        738.7828776041666,
			        -1,
			        0,
			        3074642
			    ],
			    [
			        1741350927,
			        1741351156,
			        229,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 103 n_samples 570 const 1 max_depth 2 threshold 0.2",
			        103,
			        570,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        220.40977549552917,
			        0,
			        "None",
			        "i7185",
			        220.40977549552917,
			        729.4921875,
			        729.4653125,
			        -1,
			        0,
			        3074645
			    ],
			    [
			        1741351047,
			        1741351234,
			        187,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 798 const 0.1 max_depth 2 threshold 0.8",
			        10,
			        798,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        177.9327094554901,
			        0,
			        "None",
			        "i7185",
			        177.9327094554901,
			        729.48046875,
			        727.587890625,
			        -1,
			        0,
			        3074647
			    ],
			    [
			        1741351107,
			        1741351354,
			        247,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3199 n_samples 523 const 0.34609287669614136 max_depth 2 threshold 0.7295817328101182",
			        3199,
			        523,
			        0.34609287669614136,
			        2,
			        0.7295817328101182,
			        0.8421052631578947,
			        232.22511792182922,
			        0,
			        "None",
			        "i7184",
			        232.22511792182922,
			        729.421875,
			        717.1909555288462,
			        -1,
			        0,
			        3074648
			    ],
			    [
			        1741351438,
			        1741351500,
			        62,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3573 n_samples 112 const 0.7295946462298523 max_depth 2 threshold 0.8",
			        3573,
			        112,
			        0.7295946462298523,
			        2,
			        0.8,
			        0.8321747765640516,
			        54.3588342666626,
			        0,
			        "None",
			        "i7185",
			        54.3588342666626,
			        729.30859375,
			        726.8681640625,
			        -1,
			        0,
			        3074655
			    ],
			    [
			        1741351318,
			        1741351536,
			        218,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 679 const 0.1146728282602117 max_depth 2 threshold 0.6219448372008929",
			        4000,
			        679,
			        0.1146728282602117,
			        2,
			        0.6219448372008929,
			        0.8421052631578947,
			        203.05769109725952,
			        0,
			        "None",
			        "i7185",
			        203.05769109725952,
			        729.45703125,
			        729.4361413043479,
			        -1,
			        0,
			        3074652
			    ],
			    [
			        1741351228,
			        1741351537,
			        309,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 10 n_samples 523 const 1 max_depth 2 threshold 0.2",
			        10,
			        523,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        294.7109303474426,
			        0,
			        "None",
			        "i7186",
			        294.7109303474426,
			        742.921875,
			        741.8797607421875,
			        -1,
			        0,
			        3074651
			    ],
			    [
			        1741351558,
			        1741351828,
			        270,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4000 n_samples 709 const 1 max_depth 2 threshold 0.8",
			        4000,
			        709,
			        1,
			        2,
			        0.8,
			        0.8421052631578947,
			        258.67819023132324,
			        0,
			        "None",
			        "i7186",
			        258.67819023132324,
			        740.640625,
			        740.3904854910714,
			        -1,
			        0,
			        3074656
			    ],
			    [
			        1741351708,
			        1741351914,
			        206,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2256 n_samples 882 const 0.1 max_depth 2 threshold 0.8",
			        2256,
			        882,
			        0.1,
			        2,
			        0.8,
			        0.8421052631578947,
			        162.76611948013306,
			        0,
			        "None",
			        "i7185",
			        162.76611948013306,
			        729.55859375,
			        729.4041940789474,
			        -1,
			        0,
			        3074659
			    ],
			    [
			        1741351798,
			        1741352024,
			        226,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3146 n_samples 617 const 0.3384693404292562 max_depth 2 threshold 0.8",
			        3146,
			        617,
			        0.3384693404292562,
			        2,
			        0.8,
			        0.8421052631578947,
			        218.3859302997589,
			        0,
			        "None",
			        "i7185",
			        218.3859302997589,
			        729.58203125,
			        729.2644856770834,
			        -1,
			        0,
			        3074660
			    ],
			    [
			        1741351889,
			        1741352118,
			        229,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1020 n_samples 886 const 0.1 max_depth 2 threshold 0.2",
			        1020,
			        886,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        212.76567220687866,
			        0,
			        "None",
			        "i7186",
			        212.76567220687866,
			        743.16015625,
			        743.1399739583334,
			        -1,
			        0,
			        3074662
			    ],
			    [
			        1741352038,
			        1741352263,
			        225,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2708 n_samples 638 const 1 max_depth 2 threshold 0.2",
			        2708,
			        638,
			        1,
			        2,
			        0.2,
			        0.8421052631578947,
			        213.9727122783661,
			        0,
			        "None",
			        "i7185",
			        213.9727122783661,
			        729.44921875,
			        709.52099609375,
			        -1,
			        0,
			        3074664
			    ],
			    [
			        1741352159,
			        1741352355,
			        196,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3495 n_samples 970 const 0.1 max_depth 2 threshold 0.2",
			        3495,
			        970,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        187.15685439109802,
			        0,
			        "None",
			        "i7186",
			        187.15685439109802,
			        743.265625,
			        743.2455357142857,
			        -1,
			        0,
			        3074666
			    ],
			    [
			        1741352248,
			        1741352422,
			        174,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3933 n_samples 913 const 1 max_depth 2 threshold 0.6458918779373601",
			        3933,
			        913,
			        1,
			        2,
			        0.6458918779373601,
			        0.8421052631578947,
			        152.94426274299622,
			        0,
			        "None",
			        "i7185",
			        152.94426274299622,
			        731.21484375,
			        731.1916232638889,
			        -1,
			        0,
			        3074667
			    ],
			    [
			        1741352519,
			        1741352609,
			        90,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1695 n_samples 159 const 0.5806444183255004 max_depth 2 threshold 0.6827952846037196",
			        1695,
			        159,
			        0.5806444183255004,
			        2,
			        0.6827952846037196,
			        0.8417742469381,
			        82.22268414497375,
			        0,
			        "None",
			        "i7185",
			        82.22268414497375,
			        729.5625,
			        726.3760653409091,
			        -1,
			        0,
			        3074669
			    ],
			    [
			        1741352399,
			        1741352642,
			        243,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py TMDBalanced5s 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1399 n_samples 795 const 0.1 max_depth 2 threshold 0.2",
			        1399,
			        795,
			        0.1,
			        2,
			        0.2,
			        0.8421052631578947,
			        230.37503170967102,
			        0,
			        "None",
			        "i7186",
			        230.37503170967102,
			        741.96484375,
			        729.2872596153846,
			        -1,
			        0,
			        3074668
			    ]
			];
			var tab_worker_usage_csv_json = [
			    [
			        1741340003.57024,
			        20,
			        0,
			        0
			    ],
			    [
			        1741340003.9052322,
			        20,
			        0,
			        0
			    ],
			    [
			        1741340004.046943,
			        20,
			        0,
			        0
			    ],
			    [
			        1741340004.3617368,
			        20,
			        0,
			        0
			    ],
			    [
			        1741340004.492254,
			        20,
			        0,
			        0
			    ],
			    [
			        1741340005.9056573,
			        20,
			        1,
			        5
			    ],
			    [
			        1741340006.3131928,
			        20,
			        1,
			        5
			    ],
			    [
			        1741340006.513672,
			        20,
			        1,
			        5
			    ],
			    [
			        1741340006.6765358,
			        20,
			        1,
			        5
			    ],
			    [
			        1741340007.9711344,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340008.4911053,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340008.7302861,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340008.8898354,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340010.1978693,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340010.9094155,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340011.179123,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340011.3456,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340013.0525131,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340013.802571,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340014.070693,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340014.248654,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340015.631204,
			        20,
			        5,
			        25
			    ],
			    [
			        1741340016.691152,
			        20,
			        5,
			        25
			    ],
			    [
			        1741340016.9929798,
			        20,
			        5,
			        25
			    ],
			    [
			        1741340017.1892564,
			        20,
			        5,
			        25
			    ],
			    [
			        1741340018.5175645,
			        20,
			        6,
			        30
			    ],
			    [
			        1741340019.726466,
			        20,
			        6,
			        30
			    ],
			    [
			        1741340020.0416546,
			        20,
			        6,
			        30
			    ],
			    [
			        1741340020.2452774,
			        20,
			        6,
			        30
			    ],
			    [
			        1741340021.6118448,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340022.921287,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340023.2866673,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340023.5096908,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340024.9835982,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340026.361658,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340026.7508726,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340027.0145254,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340028.4096599,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340030.2313805,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340030.6334586,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340030.9168544,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340032.3169124,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340034.2975395,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340034.73165,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340035.10399,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340036.5511734,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340038.4131856,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340038.8458047,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340039.2017415,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340040.6740854,
			        20,
			        12,
			        60
			    ],
			    [
			        1741340042.6455085,
			        20,
			        12,
			        60
			    ],
			    [
			        1741340043.1521444,
			        20,
			        12,
			        60
			    ],
			    [
			        1741340043.5478776,
			        20,
			        12,
			        60
			    ],
			    [
			        1741340045.0869257,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340047.171778,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340047.878076,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340048.2807837,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340050.0722184,
			        20,
			        14,
			        70
			    ],
			    [
			        1741340052.2885451,
			        20,
			        14,
			        70
			    ],
			    [
			        1741340052.9965796,
			        20,
			        14,
			        70
			    ],
			    [
			        1741340053.3594346,
			        20,
			        14,
			        70
			    ],
			    [
			        1741340055.1017544,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340057.4056888,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340058.3168807,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340058.667569,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340060.1671565,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340062.846061,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340063.5489488,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340063.941161,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340065.4620695,
			        20,
			        17,
			        85
			    ],
			    [
			        1741340068.3840575,
			        20,
			        17,
			        85
			    ],
			    [
			        1741340068.9979608,
			        20,
			        17,
			        85
			    ],
			    [
			        1741340069.457428,
			        20,
			        17,
			        85
			    ],
			    [
			        1741340071.146662,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340074.0482495,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340074.7151387,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340075.1455412,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340076.7154355,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340079.6997688,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340080.3782465,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340080.867469,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340082.4585147,
			        20,
			        20,
			        100
			    ],
			    [
			        1741340085.7722008,
			        20,
			        20,
			        100
			    ],
			    [
			        1741340086.2716055,
			        20,
			        20,
			        100
			    ],
			    [
			        1741340232.5165615,
			        20,
			        20,
			        100
			    ],
			    [
			        1741340234.4415658,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340237.954642,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340240.7856576,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340241.3038096,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340246.7992268,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340249.9019594,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340250.3918111,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340255.919105,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340259.090082,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340259.6358414,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340265.0147736,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340268.0980408,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340268.6124268,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340269.498996,
			        20,
			        19,
			        95
			    ],
			    [
			        1741340271.3352706,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340274.7272124,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340277.447099,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340278.062104,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340283.388224,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340286.6143408,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340287.144992,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340287.9624982,
			        20,
			        18,
			        90
			    ],
			    [
			        1741340289.8881116,
			        20,
			        17,
			        85
			    ],
			    [
			        1741340293.2173343,
			        20,
			        17,
			        85
			    ],
			    [
			        1741340295.9034944,
			        20,
			        17,
			        85
			    ],
			    [
			        1741340296.4409654,
			        20,
			        17,
			        85
			    ],
			    [
			        1741340301.0793803,
			        20,
			        17,
			        85
			    ],
			    [
			        1741340301.8052232,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340302.4861763,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340304.981805,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340305.521964,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340310.2640743,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340312.7617419,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340313.2765799,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340318.0945582,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340320.5881882,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340321.0873375,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340322.1626875,
			        20,
			        16,
			        80
			    ],
			    [
			        1741340323.5940592,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340326.6618295,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340329.2740328,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340329.7716873,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340334.6410549,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340337.0975723,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340337.6090772,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340342.4324358,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340344.3658361,
			        20,
			        15,
			        75
			    ],
			    [
			        1741340345.3966413,
			        20,
			        14,
			        70
			    ],
			    [
			        1741340345.9033322,
			        20,
			        14,
			        70
			    ],
			    [
			        1741340346.4323707,
			        20,
			        14,
			        70
			    ],
			    [
			        1741340350.4766443,
			        20,
			        14,
			        70
			    ],
			    [
			        1741340351.2829967,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340352.0021942,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340354.24589,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340354.749607,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340359.1690428,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340361.3290756,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340362.2579768,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340366.865687,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340369.1252103,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340369.7002099,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340374.1168928,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340376.4513345,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340376.9604216,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340381.3492126,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340383.6946096,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340384.2283318,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340388.6254866,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340390.8713393,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340391.4237864,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340395.650951,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340397.827145,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340398.3844764,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340402.6223695,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340404.8348062,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340405.3311453,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340409.5192115,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340411.7775354,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340412.309444,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340416.8291266,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340419.1126893,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340419.6701124,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340424.0552812,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340425.6849647,
			        20,
			        13,
			        65
			    ],
			    [
			        1741340426.7209828,
			        20,
			        12,
			        60
			    ],
			    [
			        1741340427.212241,
			        20,
			        12,
			        60
			    ],
			    [
			        1741340427.7521753,
			        20,
			        12,
			        60
			    ],
			    [
			        1741340430.719629,
			        20,
			        12,
			        60
			    ],
			    [
			        1741340432.250933,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340432.940571,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340434.943709,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340435.4602509,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340439.3076952,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340441.3202226,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340441.879135,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340445.760271,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340447.7168808,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340448.218799,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340452.0490496,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340454.0111094,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340454.5341525,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340458.4979634,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340460.8302896,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340461.3563688,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340465.3757057,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340467.29624,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340467.8537006,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340471.8390152,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340473.8982637,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340474.4771485,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340478.5114832,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340480.443046,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340480.9813242,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340484.8615584,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340486.842423,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340487.3957858,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340490.1942775,
			        20,
			        11,
			        55
			    ],
			    [
			        1741340491.6929219,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340492.538199,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340494.3771205,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340494.8843353,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340498.710514,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340500.5264037,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340501.0526214,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340505.1333218,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340507.0900402,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340507.6121852,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340511.4022753,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340513.3717318,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340513.9378965,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340517.636477,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340519.4721992,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340519.9665022,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340523.6257007,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340525.4512763,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340525.9846706,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340529.8188024,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340531.7213407,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340532.2432446,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340536.0335698,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340538.0390592,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340538.5740993,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340539.480438,
			        20,
			        10,
			        50
			    ],
			    [
			        1741340540.6085627,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340543.2552876,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340545.110309,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340545.6579857,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340549.5299923,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340551.3147087,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340551.9667323,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340554.8178208,
			        20,
			        9,
			        45
			    ],
			    [
			        1741340555.7568421,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340556.451329,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340558.0639658,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340558.6305377,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340562.0773883,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340563.836123,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340564.3804612,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340567.7223694,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340569.4290159,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340569.9672694,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340573.3098333,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340574.926738,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340575.4194357,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340578.745892,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340580.3239095,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340580.828619,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340584.1572297,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340585.7977355,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340586.358986,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340589.8667016,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340591.6097765,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340592.1775532,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340596.1257896,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340597.9571517,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340598.5224493,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340602.137411,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340603.749314,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340604.2575674,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340607.5971882,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340609.3463976,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340609.8564482,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340613.163216,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340614.7944982,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340615.3242354,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340618.3852825,
			        20,
			        8,
			        40
			    ],
			    [
			        1741340618.9804113,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340619.6748214,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340621.151342,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340621.6622753,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340624.846307,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340626.341246,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340626.8699827,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340630.0475924,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340631.7605708,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340632.2767196,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340635.3671894,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340636.8747036,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340637.3753955,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340640.6553733,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340642.125464,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340642.6244593,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340646.0516717,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340647.6156304,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340648.1361427,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340651.3926752,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340652.9516542,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340653.5108073,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340656.7741733,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340658.2631896,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340658.7622612,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340662.045599,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340663.5880764,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340664.1007597,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340664.770871,
			        20,
			        7,
			        35
			    ],
			    [
			        1741340665.888552,
			        20,
			        6,
			        30
			    ],
			    [
			        1741340668.6264055,
			        20,
			        6,
			        30
			    ],
			    [
			        1741340669.290739,
			        20,
			        6,
			        30
			    ],
			    [
			        1741340670.5239856,
			        20,
			        5,
			        25
			    ],
			    [
			        1741340671.0579271,
			        20,
			        5,
			        25
			    ],
			    [
			        1741340671.5784273,
			        20,
			        5,
			        25
			    ],
			    [
			        1741340674.3602126,
			        20,
			        5,
			        25
			    ],
			    [
			        1741340675.4701827,
			        20,
			        5,
			        25
			    ],
			    [
			        1741340676.2064161,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340676.697134,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340677.23241,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340679.8107,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340680.964471,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340681.4510837,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340683.963185,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340685.1131842,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340685.6266701,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340688.138503,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340689.2425725,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340689.9643378,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340692.5646348,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340693.738897,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340694.2402759,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340696.7755787,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340697.9136333,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340698.4942086,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340701.1569693,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340702.339812,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340702.8622813,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340705.5096636,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340706.7071269,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340707.2194588,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340709.8375719,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340710.9530287,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340711.4534912,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340714.0396469,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340715.4129078,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340715.9683042,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340718.5119722,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340719.6554177,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340720.1731684,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340722.7762895,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340723.9426126,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340724.459352,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340727.0366607,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340728.139599,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340728.7226949,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340731.2796428,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340732.4018416,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340732.9649758,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340735.5386066,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340736.7597659,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340737.4682128,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340740.0300617,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340741.1510272,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340741.6664863,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340744.2334547,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340745.3758264,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340745.862819,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340746.4473457,
			        20,
			        4,
			        20
			    ],
			    [
			        1741340747.2344444,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340749.289692,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340750.337722,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340750.858633,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340753.3245218,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340754.4016912,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340754.9460785,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340757.397511,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340758.4897683,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340759.0201354,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340761.746379,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340762.840998,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340763.3566818,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340765.7695782,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340766.7975404,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340767.3214989,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340769.6958063,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340770.7139757,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340771.2330549,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340773.610837,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340774.6163323,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340775.1470726,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340777.579854,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340778.6615858,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340779.1707175,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340781.6337318,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340782.9114974,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340783.4531474,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340785.9025633,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340787.0546293,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340787.548588,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340789.9371533,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340791.0126169,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340791.6121166,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340794.065394,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340795.0587206,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340795.5828323,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340797.9663022,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340799.0247905,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340799.542427,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340801.9429476,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340802.9317682,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340803.4501338,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340806.0355132,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340807.0643764,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340807.597036,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340809.9425845,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340811.04857,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340811.5660315,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340814.053669,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340815.118505,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340815.6591914,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340818.026355,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340819.0443501,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340819.5429904,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340822.040362,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340823.1153386,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340823.6336474,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340825.9921076,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340827.2653708,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340827.8369458,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340830.2863946,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340831.282091,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340831.8336918,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340834.285256,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340835.3408818,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340835.8696625,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340838.2423456,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340839.2414553,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340839.7315109,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340842.0752697,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340843.0811613,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340843.6301205,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340846.109539,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340847.1402156,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340847.6347787,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340850.0476742,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340851.34323,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340851.8502622,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340854.259715,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340855.2797673,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340855.7797225,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340858.1527278,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340859.1946921,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340859.742354,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340862.1120331,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340863.1998658,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340863.6876607,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340866.0892074,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340867.101174,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340867.5884185,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340869.9518862,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340870.9350746,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340871.4487588,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340874.0912907,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340875.146841,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340875.6391058,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340878.0354123,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340879.0236356,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340879.5161774,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340881.8885396,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340882.9138525,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340883.4204283,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340885.8732433,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340886.8800251,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340887.4227965,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340889.825592,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340891.0203922,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340891.5419796,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340893.9294531,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340895.1481519,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340895.636698,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340897.997544,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340899.0184257,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340899.5350392,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340902.0501878,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340903.0817473,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340903.6009662,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340906.191464,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340907.2390745,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340907.7277837,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340910.1628637,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340911.1590304,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340911.6541636,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340914.05727,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340915.1464334,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340915.6374362,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340918.3071277,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340919.3222148,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340919.8324683,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340922.2814972,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340923.3135483,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340923.8975856,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340926.3891635,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340927.5136733,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340928.0894852,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340930.5031948,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340931.5305955,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340932.0717998,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340934.144103,
			        20,
			        3,
			        15
			    ],
			    [
			        1741340934.7393782,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340935.4340665,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340936.382344,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340936.9461498,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340939.4764495,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340940.4057705,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340940.9137223,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340943.2296422,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340944.146043,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340944.735715,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340946.9330924,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340947.828851,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340948.3315763,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340950.5210822,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340951.514336,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340952.0104365,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340954.244131,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340955.1222281,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340955.6493206,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340957.9037156,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340958.7933788,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340959.325062,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340961.7843876,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340962.6807683,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340963.1770363,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340965.5598118,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340966.5404475,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340967.055714,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340969.2940145,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340970.2258394,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340970.7887306,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340973.051419,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340973.9204261,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340974.4374955,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340976.706837,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340977.6658134,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340978.2333698,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340980.4783409,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340981.4011786,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340982.1973383,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340984.4398372,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340985.3731265,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340985.8633502,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340988.0175605,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340988.9405005,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340989.4522724,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340991.6288419,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340992.5501199,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340993.0609715,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340995.28345,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340996.2583027,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340996.7844732,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340999.0500157,
			        20,
			        2,
			        10
			    ],
			    [
			        1741340999.9826443,
			        20,
			        2,
			        10
			    ],
			    [
			        1741341000.609403,
			        20,
			        2,
			        10
			    ],
			    [
			        1741341003.147764,
			        20,
			        2,
			        10
			    ],
			    [
			        1741341004.0779092,
			        20,
			        2,
			        10
			    ],
			    [
			        1741341004.5742803,
			        20,
			        2,
			        10
			    ],
			    [
			        1741341006.3236384,
			        20,
			        2,
			        10
			    ],
			    [
			        1741341007.0151415,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341007.7381363,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341008.564681,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341009.0518823,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341011.0304632,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341011.8006039,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341012.3118525,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341014.3173234,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341015.0865607,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341015.5745704,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341017.5659637,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341018.4824197,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341018.9927957,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341021.3134184,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341022.0895627,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341022.5788534,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341024.7366464,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341025.6416693,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341026.1763403,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341028.1957526,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341028.968467,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341029.4610178,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341031.1447644,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341031.7189302,
			        20,
			        0,
			        0
			    ],
			    [
			        1741341032.3982992,
			        20,
			        0,
			        0
			    ],
			    [
			        1741341033.0697334,
			        20,
			        0,
			        0
			    ],
			    [
			        1741341055.2923517,
			        20,
			        0,
			        0
			    ],
			    [
			        1741341055.8517401,
			        20,
			        0,
			        0
			    ],
			    [
			        1741341057.4586535,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341058.479847,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341079.0291176,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341079.6398034,
			        20,
			        1,
			        5
			    ],
			    [
			        1741341081.3247206,
			        20,
			        2,
			        10
			    ],
			    [
			        1741341082.592252,
			        20,
			        2,
			        10
			    ],
			    [
			        1741341093.9565237,
			        20,
			        2,
			        10
			    ],
			    [
			        1741341094.5374916,
			        20,
			        2,
			        10
			    ],
			    [
			        1741341096.3253896,
			        20,
			        3,
			        15
			    ],
			    [
			        1741341097.7857144,
			        20,
			        3,
			        15
			    ],
			    [
			        1741341109.48806,
			        20,
			        3,
			        15
			    ],
			    [
			        1741341110.2829525,
			        20,
			        3,
			        15
			    ],
			    [
			        1741341112.2656617,
			        20,
			        4,
			        20
			    ],
			    [
			        1741341113.5625732,
			        20,
			        4,
			        20
			    ],
			    [
			        1741341128.301608,
			        20,
			        4,
			        20
			    ],
			    [
			        1741341128.9424863,
			        20,
			        4,
			        20
			    ],
			    [
			        1741341130.575075,
			        20,
			        5,
			        25
			    ],
			    [
			        1741341132.0849793,
			        20,
			        5,
			        25
			    ],
			    [
			        1741341143.1524374,
			        20,
			        5,
			        25
			    ],
			    [
			        1741341143.8191345,
			        20,
			        5,
			        25
			    ],
			    [
			        1741341145.565456,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341147.3348978,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341160.3540454,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341161.3109703,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341163.445641,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341165.5225706,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341186.3552067,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341187.4364731,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341189.4647524,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341191.6432571,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341205.6420372,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341206.3522477,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341208.4299412,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341210.6368134,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341223.3830745,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341224.3523602,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341226.400682,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341229.0052183,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341260.8151655,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341261.6586738,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341263.662264,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341266.1461778,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341295.2426007,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341295.9857879,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341297.7854295,
			        20,
			        12,
			        60
			    ],
			    [
			        1741341298.6396344,
			        20,
			        12,
			        60
			    ],
			    [
			        1741341299.7732866,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341302.1592135,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341302.9235594,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341327.298037,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341328.196963,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341329.9146821,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341332.315139,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341347.0583947,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341347.842556,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341349.7675602,
			        20,
			        12,
			        60
			    ],
			    [
			        1741341350.6303601,
			        20,
			        12,
			        60
			    ],
			    [
			        1741341352.040933,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341354.75526,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341355.6627903,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341372.8790455,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341373.7178748,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341375.6291099,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341376.9107847,
			        20,
			        11,
			        55
			    ],
			    [
			        1741341378.1432061,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341380.2365248,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341381.1793928,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341398.958397,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341399.9227965,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341401.8536887,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341402.784847,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341404.0024009,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341405.3202355,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341406.5131276,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341408.4041383,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341409.780521,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341428.5141804,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341429.70116,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341431.5641954,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341433.7327619,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341445.986722,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341446.9420445,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341449.0216596,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341451.574123,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341466.8332996,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341467.7958515,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341469.7986925,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341470.986559,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341473.2255201,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341474.2097373,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341498.5092754,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341499.7343514,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341501.6473534,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341502.8213391,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341504.9804459,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341505.9230895,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341530.839992,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341532.2394292,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341534.6788275,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341535.9134338,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341537.9974873,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341538.8393323,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341543.2237527,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341545.6797712,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341563.6357627,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341564.9052224,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341567.0082662,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341568.2573,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341570.2991717,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341571.3608308,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341601.4042394,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341602.8615613,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341605.0716174,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341606.5285065,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341609.2348566,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341610.3156724,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341629.6865196,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341630.5937986,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341632.6432507,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341633.7330942,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341635.1714888,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341637.5846722,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341638.7851727,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341658.3621867,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341659.873044,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341661.993644,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341664.444913,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341680.5268629,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341681.947896,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341684.1468256,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341686.6961756,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341699.6362207,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341701.210658,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341703.8043563,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341704.927397,
			        20,
			        10,
			        50
			    ],
			    [
			        1741341706.5748055,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341708.2405963,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341710.6497917,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341711.9472487,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341741.1527119,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341742.328783,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341744.7946737,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341746.0644035,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341747.931218,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341750.3297796,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341751.51493,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341783.0779028,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341784.5768135,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341786.828418,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341789.1193914,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341805.9858713,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341807.313945,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341810.1537914,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341812.6424286,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341841.912681,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341843.2120445,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341845.7633305,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341847.1643856,
			        20,
			        9,
			        45
			    ],
			    [
			        1741341849.0260737,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341851.4682193,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341852.6608665,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341875.3502374,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341877.25729,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341879.856726,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341881.264195,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341883.922717,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341885.3350186,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341918.2438493,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341919.5608811,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341921.9593203,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341923.4246178,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341926.4348862,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341928.1986184,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341952.5764413,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341954.0980349,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341956.4213624,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341958.0763981,
			        20,
			        8,
			        40
			    ],
			    [
			        1741341960.1148815,
			        20,
			        7,
			        35
			    ],
			    [
			        1741341961.9849117,
			        20,
			        6,
			        30
			    ],
			    [
			        1741341964.2425365,
			        20,
			        5,
			        25
			    ],
			    [
			        1741341965.4657013,
			        20,
			        5,
			        25
			    ],
			    [
			        1741341970.1264272,
			        20,
			        5,
			        25
			    ],
			    [
			        1741341972.7309551,
			        20,
			        5,
			        25
			    ],
			    [
			        1741341994.7380676,
			        20,
			        5,
			        25
			    ],
			    [
			        1741341996.434902,
			        20,
			        5,
			        25
			    ],
			    [
			        1741341998.9985816,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342001.4502773,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342026.1185987,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342027.9041822,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342030.247114,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342031.769231,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342034.5103526,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342036.0650387,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342074.6806698,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342076.0223293,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342078.3897927,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342080.0731153,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342083.1655607,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342084.7014375,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342131.4063742,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342133.1094067,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342135.899521,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342137.762134,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342139.9570587,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342141.783124,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342174.1071675,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342175.6816998,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342178.0534487,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342179.5941808,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342181.7838905,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342183.8133037,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342185.948791,
			        20,
			        4,
			        20
			    ],
			    [
			        1741342187.518613,
			        20,
			        4,
			        20
			    ],
			    [
			        1741342219.409974,
			        20,
			        4,
			        20
			    ],
			    [
			        1741342221.0872252,
			        20,
			        4,
			        20
			    ],
			    [
			        1741342223.5826557,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342226.1427245,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342259.6153502,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342261.1884747,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342264.249013,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342266.1072505,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342268.7622118,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342270.3354368,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342317.3024092,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342319.164805,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342321.626847,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342323.3778803,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342325.8477478,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342327.8199637,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342364.8212602,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342366.3059933,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342369.4521112,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342372.1481254,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342396.6936164,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342398.5954118,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342401.0453198,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342403.745739,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342435.8360631,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342437.4058611,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342440.084584,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342441.6040683,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342444.516074,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342446.5906234,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342495.1230614,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342496.7273526,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342499.6096184,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342501.2930524,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342503.344734,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342505.967036,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342508.6243289,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342510.337182,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342565.7517257,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342567.3749073,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342570.09842,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342572.6294987,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342597.0681694,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342598.589473,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342601.0879285,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342604.2667985,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342636.996729,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342638.6271915,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342641.511801,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342643.374999,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342646.0842016,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342648.070175,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342704.7362268,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342706.2823136,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342709.23277,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342711.9915879,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342717.0813057,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342720.4300308,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342758.777366,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342760.3631768,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342763.2042897,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342766.5973158,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342803.7957556,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342805.4737635,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342808.6855612,
			        20,
			        9,
			        45
			    ],
			    [
			        1741342810.603978,
			        20,
			        9,
			        45
			    ],
			    [
			        1741342813.0530982,
			        20,
			        8,
			        40
			    ],
			    [
			        1741342815.676301,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342817.884095,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342820.3681972,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342822.7604334,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342868.179034,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342869.8921995,
			        20,
			        5,
			        25
			    ],
			    [
			        1741342872.9158933,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342875.918213,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342918.4377515,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342920.7036135,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342923.4641204,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342957.182576,
			        20,
			        7,
			        35
			    ],
			    [
			        1741342960.4514258,
			        20,
			        6,
			        30
			    ],
			    [
			        1741342962.5480595,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343012.556423,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343014.8288367,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343017.5037208,
			        20,
			        7,
			        35
			    ],
			    [
			        1741343020.0243776,
			        20,
			        7,
			        35
			    ],
			    [
			        1741343023.0213807,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343025.0199375,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343080.5989974,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343082.871844,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343085.5813725,
			        20,
			        7,
			        35
			    ],
			    [
			        1741343087.6037261,
			        20,
			        7,
			        35
			    ],
			    [
			        1741343090.8447733,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343093.5031564,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343095.8327043,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343128.7336497,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343130.4225667,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343133.638806,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343135.652089,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343138.472555,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343140.7271354,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343195.3179927,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343197.569494,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343200.3397653,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343202.6533575,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343206.001519,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343208.2143745,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343273.5032656,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343275.986632,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343278.8499343,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343280.8483105,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343284.109631,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343286.2781658,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343345.5497172,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343347.403177,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343350.3478043,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343352.6759624,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343355.4878619,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343357.7609847,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343360.7346299,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343362.9528105,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343412.0459676,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343413.8021607,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343416.5359206,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343419.310543,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343462.5073442,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343464.5150208,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343467.6582806,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343470.456865,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343534.6359298,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343536.4570432,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343539.504773,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343543.1862051,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343596.369074,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343598.513504,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343601.9551713,
			        20,
			        7,
			        35
			    ],
			    [
			        1741343603.931487,
			        20,
			        7,
			        35
			    ],
			    [
			        1741343606.5019834,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343610.2059824,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343611.9974022,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343617.594604,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343621.1301665,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343673.6663346,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343675.6958616,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343678.5491207,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343681.2177498,
			        20,
			        6,
			        30
			    ],
			    [
			        1741343683.868886,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343687.096469,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343689.2290924,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343744.562336,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343747.0170493,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343749.9463904,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343751.8898053,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343754.7799132,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343757.6178758,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343760.0913253,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343825.0163252,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343827.0597577,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343830.356804,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343832.6407485,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343835.8028708,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343838.173902,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343893.750383,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343896.1990855,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343899.1796703,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343902.1665475,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343945.2060237,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343947.2461672,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343950.944123,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343952.8801386,
			        20,
			        5,
			        25
			    ],
			    [
			        1741343955.4297276,
			        20,
			        4,
			        20
			    ],
			    [
			        1741343958.9664273,
			        20,
			        3,
			        15
			    ],
			    [
			        1741343961.2507563,
			        20,
			        3,
			        15
			    ],
			    [
			        1741344014.402275,
			        20,
			        3,
			        15
			    ],
			    [
			        1741344016.6620133,
			        20,
			        3,
			        15
			    ],
			    [
			        1741344020.0971732,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344023.1861496,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344069.340888,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344071.797109,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344074.853681,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344078.488352,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344103.436374,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344106.11539,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344109.1911385,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344112.9892716,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344156.4478405,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344158.8540957,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344162.2941496,
			        20,
			        7,
			        35
			    ],
			    [
			        1741344164.5249374,
			        20,
			        7,
			        35
			    ],
			    [
			        1741344167.725862,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344170.803225,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344174.1568484,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344176.6835022,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344210.7276165,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344212.777244,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344215.8579087,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344219.6162493,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344272.2975945,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344274.8649516,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344277.8603044,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344280.205596,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344284.0831087,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344286.5379412,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344317.9594347,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344320.120027,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344323.5549061,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344326.9657085,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344368.8463714,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344370.9771314,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344374.36355,
			        20,
			        7,
			        35
			    ],
			    [
			        1741344376.7496243,
			        20,
			        7,
			        35
			    ],
			    [
			        1741344379.4552772,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344382.92099,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344386.0427608,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344388.8963664,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344414.6661806,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344417.3702655,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344420.7633076,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344423.3466263,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344426.8603065,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344429.779785,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344470.2910602,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344472.7786145,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344475.9396524,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344479.1372674,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344504.4435036,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344506.843962,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344510.39926,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344512.8788478,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344516.6447227,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344518.8003848,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344524.3831253,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344528.382545,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344574.6964185,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344576.984603,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344580.1162372,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344582.7614336,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344586.2175198,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344589.030131,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344633.2605062,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344635.8909433,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344639.0581698,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344641.8852136,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344645.3876598,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344647.900529,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344698.937321,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344701.576472,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344704.8723536,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344707.1337879,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344710.5097313,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344713.632624,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344717.208986,
			        20,
			        3,
			        15
			    ],
			    [
			        1741344719.844041,
			        20,
			        3,
			        15
			    ],
			    [
			        1741344751.539343,
			        20,
			        3,
			        15
			    ],
			    [
			        1741344754.043836,
			        20,
			        3,
			        15
			    ],
			    [
			        1741344757.5838838,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344760.904171,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344788.8832994,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344791.290869,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344795.245718,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344798.5577154,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344843.6653671,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344845.9435718,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344849.5374284,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344853.3684912,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344908.3812768,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344911.0958357,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344914.8412879,
			        20,
			        7,
			        35
			    ],
			    [
			        1741344917.2863564,
			        20,
			        7,
			        35
			    ],
			    [
			        1741344920.7552245,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344924.3089104,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344927.5077636,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344962.6523721,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344965.4623647,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344968.931106,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344971.3226886,
			        20,
			        6,
			        30
			    ],
			    [
			        1741344974.903309,
			        20,
			        5,
			        25
			    ],
			    [
			        1741344978.7769194,
			        20,
			        4,
			        20
			    ],
			    [
			        1741344981.606436,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345022.9503958,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345025.3607008,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345029.186355,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345032.822553,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345068.8760207,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345071.3802383,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345075.366687,
			        20,
			        6,
			        30
			    ],
			    [
			        1741345078.312552,
			        20,
			        6,
			        30
			    ],
			    [
			        1741345081.965416,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345086.0409105,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345089.3546135,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345121.9889069,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345124.936176,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345128.419448,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345132.725024,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345161.94777,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345164.4163282,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345167.9832413,
			        20,
			        6,
			        30
			    ],
			    [
			        1741345171.969471,
			        20,
			        6,
			        30
			    ],
			    [
			        1741345200.1009574,
			        20,
			        6,
			        30
			    ],
			    [
			        1741345202.5367894,
			        20,
			        6,
			        30
			    ],
			    [
			        1741345206.456457,
			        20,
			        7,
			        35
			    ],
			    [
			        1741345210.6754518,
			        20,
			        7,
			        35
			    ],
			    [
			        1741345240.2102177,
			        20,
			        7,
			        35
			    ],
			    [
			        1741345242.6185956,
			        20,
			        7,
			        35
			    ],
			    [
			        1741345246.32546,
			        20,
			        8,
			        40
			    ],
			    [
			        1741345250.6933498,
			        20,
			        8,
			        40
			    ],
			    [
			        1741345281.7095063,
			        20,
			        8,
			        40
			    ],
			    [
			        1741345284.6235178,
			        20,
			        8,
			        40
			    ],
			    [
			        1741345288.1526392,
			        20,
			        9,
			        45
			    ],
			    [
			        1741345291.0140238,
			        20,
			        9,
			        45
			    ],
			    [
			        1741345295.2005434,
			        20,
			        8,
			        40
			    ],
			    [
			        1741345299.7350492,
			        20,
			        7,
			        35
			    ],
			    [
			        1741345302.7503836,
			        20,
			        7,
			        35
			    ],
			    [
			        1741345352.0458038,
			        20,
			        7,
			        35
			    ],
			    [
			        1741345354.6922395,
			        20,
			        7,
			        35
			    ],
			    [
			        1741345358.5879316,
			        20,
			        8,
			        40
			    ],
			    [
			        1741345361.2955449,
			        20,
			        8,
			        40
			    ],
			    [
			        1741345365.1036422,
			        20,
			        7,
			        35
			    ],
			    [
			        1741345368.5007572,
			        20,
			        6,
			        30
			    ],
			    [
			        1741345372.0718472,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345375.78974,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345378.6652927,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345385.2573957,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345389.505533,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345422.8585672,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345425.8352804,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345429.297963,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345432.202115,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345436.0232317,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345439.449744,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345479.8892329,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345482.476208,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345486.1525602,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345489.6061895,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345493.1230638,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345496.4495406,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345531.5737298,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345534.1499681,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345538.0276616,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345540.9133801,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345544.9860473,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345547.9242983,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345584.031484,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345587.1012018,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345590.5739903,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345593.3811712,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345597.7226906,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345601.3244143,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345637.5657928,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345640.7604234,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345644.2210598,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345647.3580275,
			        20,
			        5,
			        25
			    ],
			    [
			        1741345651.174264,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345655.3083775,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345658.2893088,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345705.9715726,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345708.8960576,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345712.4103258,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345715.5886078,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345719.107126,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345722.9287965,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345725.8005257,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345762.759434,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345765.7384133,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345769.3128283,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345772.165696,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345776.3971746,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345779.987956,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345818.4193335,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345821.2900858,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345825.7737877,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345828.3031507,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345832.2014308,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345835.2043972,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345874.158603,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345877.2146475,
			        20,
			        2,
			        10
			    ],
			    [
			        1741345881.1576724,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345885.2618663,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345919.573642,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345922.4426801,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345926.5934415,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345929.4831693,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345933.809856,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345936.9374387,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345980.6572456,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345983.6826522,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345987.5473425,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345991.1310718,
			        20,
			        4,
			        20
			    ],
			    [
			        1741345995.0596762,
			        20,
			        3,
			        15
			    ],
			    [
			        1741345998.6056492,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346036.10665,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346038.8442721,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346042.8651004,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346046.6792443,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346086.7532878,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346089.4738004,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346093.2470238,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346096.4917617,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346101.4742138,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346104.8355417,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346148.2111542,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346151.6085048,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346155.6410394,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346159.1246917,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346164.327131,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346168.8838258,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346172.7657351,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346206.4642196,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346209.4372187,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346213.778822,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346216.540411,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346220.9878144,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346224.2231982,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346269.016728,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346272.42485,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346277.3972812,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346281.0760672,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346285.3394077,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346289.3096578,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346332.3224025,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346336.0030942,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346339.8024318,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346343.4464965,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346350.3697572,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346354.6056466,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346359.478611,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346362.9082756,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346406.5920808,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346410.0307693,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346413.900542,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346418.3876643,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346462.7583556,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346465.782277,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346470.0942934,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346474.3948762,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346529.849323,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346532.7381685,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346537.1180751,
			        20,
			        6,
			        30
			    ],
			    [
			        1741346540.116682,
			        20,
			        6,
			        30
			    ],
			    [
			        1741346544.641515,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346548.9046786,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346553.604027,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346557.7481737,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346633.126043,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346636.05589,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346640.3749123,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346643.4610856,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346647.6325753,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346651.5445027,
			        20,
			        2,
			        10
			    ],
			    [
			        1741346655.7359068,
			        20,
			        1,
			        5
			    ],
			    [
			        1741346659.5305138,
			        20,
			        1,
			        5
			    ],
			    [
			        1741346703.117902,
			        20,
			        1,
			        5
			    ],
			    [
			        1741346706.1029868,
			        20,
			        1,
			        5
			    ],
			    [
			        1741346710.3886864,
			        20,
			        2,
			        10
			    ],
			    [
			        1741346714.616589,
			        20,
			        2,
			        10
			    ],
			    [
			        1741346752.1716611,
			        20,
			        2,
			        10
			    ],
			    [
			        1741346755.2197058,
			        20,
			        2,
			        10
			    ],
			    [
			        1741346759.461933,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346764.186441,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346813.1655493,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346816.5211873,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346820.4531596,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346825.2654397,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346873.7909038,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346877.1526222,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346880.984904,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346884.7331538,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346889.0523717,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346892.9474545,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346964.92106,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346967.8872976,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346972.2831905,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346975.182625,
			        20,
			        5,
			        25
			    ],
			    [
			        1741346979.6593423,
			        20,
			        4,
			        20
			    ],
			    [
			        1741346984.439535,
			        20,
			        3,
			        15
			    ],
			    [
			        1741346988.477612,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347055.2336,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347058.2243762,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347063.2884526,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347066.5752065,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347071.3379643,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347075.3154159,
			        20,
			        2,
			        10
			    ],
			    [
			        1741347123.9564395,
			        20,
			        2,
			        10
			    ],
			    [
			        1741347127.0912135,
			        20,
			        2,
			        10
			    ],
			    [
			        1741347131.764491,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347136.0227642,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347174.8854382,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347177.9845488,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347182.725616,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347187.223257,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347228.8856742,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347232.58875,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347236.7106676,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347241.8671463,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347284.252234,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347287.8617795,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347292.0337708,
			        20,
			        6,
			        30
			    ],
			    [
			        1741347295.9831603,
			        20,
			        6,
			        30
			    ],
			    [
			        1741347300.70461,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347304.8544888,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347354.127094,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347357.606736,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347361.6589746,
			        20,
			        6,
			        30
			    ],
			    [
			        1741347365.2205584,
			        20,
			        6,
			        30
			    ],
			    [
			        1741347370.1152332,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347374.5320272,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347379.1659653,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347383.4071667,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347444.8909533,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347448.0333734,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347452.625559,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347455.8306503,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347461.1284428,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347465.37926,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347514.5418434,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347518.2222986,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347522.6567402,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347526.4280543,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347531.018944,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347534.4776835,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347541.851879,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347547.2993562,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347595.8984864,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347599.089357,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347603.6895714,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347606.7743933,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347611.8016558,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347615.9104357,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347666.1411858,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347669.9075441,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347674.0358756,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347679.2117496,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347724.6033416,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347728.485853,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347732.7245529,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347736.394921,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347741.2610924,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347745.563755,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347797.2407436,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347800.9242954,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347805.246158,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347808.9761045,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347814.3527186,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347818.3771546,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347873.7591984,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347876.9423568,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347881.6083207,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347884.8267388,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347890.3389304,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347894.842701,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347943.8866026,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347947.1068902,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347951.9372227,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347955.4505138,
			        20,
			        5,
			        25
			    ],
			    [
			        1741347960.910483,
			        20,
			        4,
			        20
			    ],
			    [
			        1741347966.212265,
			        20,
			        3,
			        15
			    ],
			    [
			        1741347970.587172,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348024.0426621,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348027.1986074,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348032.1200984,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348035.3994863,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348040.182643,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348045.1615794,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348049.6541157,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348108.2645547,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348112.255383,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348116.9567664,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348122.0856168,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348183.0314906,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348187.0483606,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348191.3539748,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348195.715867,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348201.1273892,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348205.1916614,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348266.820183,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348270.2358289,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348275.359413,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348279.1466262,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348284.705627,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348289.1806195,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348342.405238,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348346.5776205,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348351.2204666,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348356.5994277,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348418.7622983,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348422.520353,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348427.326944,
			        20,
			        5,
			        25
			    ],
			    [
			        1741348430.9959202,
			        20,
			        5,
			        25
			    ],
			    [
			        1741348435.953494,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348441.394016,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348445.9850445,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348539.8555937,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348543.3358903,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348548.5612674,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348552.6887348,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348557.4743357,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348562.763314,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348567.5355852,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348622.3805544,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348626.5860214,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348631.4061828,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348635.1658366,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348640.113169,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348644.9015398,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348711.3231761,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348715.5674658,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348720.121156,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348724.0960233,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348729.2577956,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348733.8848486,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348800.6691985,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348804.28118,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348809.4251637,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348814.2351675,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348875.5086257,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348879.2218163,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348884.5241554,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348889.5321395,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348942.4145734,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348946.0890145,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348950.8557913,
			        20,
			        5,
			        25
			    ],
			    [
			        1741348954.3976223,
			        20,
			        5,
			        25
			    ],
			    [
			        1741348959.57732,
			        20,
			        4,
			        20
			    ],
			    [
			        1741348964.5656323,
			        20,
			        3,
			        15
			    ],
			    [
			        1741348969.7795446,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348973.6385398,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348981.0084739,
			        20,
			        2,
			        10
			    ],
			    [
			        1741348986.7513711,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349054.938646,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349058.3900123,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349063.511201,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349069.1186662,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349137.6298916,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349141.8086612,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349146.4911132,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349150.9895704,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349157.5064788,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349162.2321231,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349226.4430983,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349230.2171125,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349235.8959644,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349239.6253939,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349245.4596455,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349250.3884568,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349335.1638687,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349339.3865738,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349344.2238357,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349348.4190764,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349353.789207,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349358.8195133,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349363.847209,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349427.9239357,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349431.4695916,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349436.6273258,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349441.944425,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349502.3737414,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349506.7209334,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349511.7934275,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349515.490263,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349521.1285646,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349526.8451931,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349531.9922738,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349598.6631815,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349602.9015553,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349608.2129545,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349611.9241786,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349617.8233573,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349622.7392364,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349686.2431102,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349690.5492897,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349695.2191734,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349700.8674061,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349776.2134078,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349780.5141926,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349785.2793338,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349791.0327857,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349846.5171459,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349850.9095454,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349855.6576293,
			        20,
			        5,
			        25
			    ],
			    [
			        1741349860.0013547,
			        20,
			        5,
			        25
			    ],
			    [
			        1741349865.743936,
			        20,
			        4,
			        20
			    ],
			    [
			        1741349871.3418965,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349876.977412,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349881.9806979,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349943.0898626,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349947.2852163,
			        20,
			        2,
			        10
			    ],
			    [
			        1741349952.1443727,
			        20,
			        3,
			        15
			    ],
			    [
			        1741349957.7167234,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350022.0472684,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350025.8984663,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350031.060742,
			        20,
			        4,
			        20
			    ],
			    [
			        1741350036.845801,
			        20,
			        4,
			        20
			    ],
			    [
			        1741350152.2713568,
			        20,
			        4,
			        20
			    ],
			    [
			        1741350156.066543,
			        20,
			        4,
			        20
			    ],
			    [
			        1741350161.1971655,
			        20,
			        5,
			        25
			    ],
			    [
			        1741350165.5132985,
			        20,
			        5,
			        25
			    ],
			    [
			        1741350170.4102993,
			        20,
			        4,
			        20
			    ],
			    [
			        1741350176.1218197,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350181.1451716,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350257.2599957,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350261.1915119,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350266.3123724,
			        20,
			        4,
			        20
			    ],
			    [
			        1741350271.1481898,
			        20,
			        4,
			        20
			    ],
			    [
			        1741350276.3611019,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350281.9161344,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350286.8901432,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350409.8252225,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350414.164882,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350418.9799094,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350424.7324522,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350527.5629456,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350531.9409022,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350537.283646,
			        20,
			        4,
			        20
			    ],
			    [
			        1741350541.191574,
			        20,
			        4,
			        20
			    ],
			    [
			        1741350546.9509356,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350552.7717662,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350557.900643,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350647.328585,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350651.5866094,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350657.2526536,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350661.788364,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350667.1560845,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350672.4191043,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350776.785795,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350781.137816,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350785.911495,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350790.3062723,
			        20,
			        3,
			        15
			    ],
			    [
			        1741350795.8878744,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350801.4383564,
			        20,
			        1,
			        5
			    ],
			    [
			        1741350806.4993188,
			        20,
			        1,
			        5
			    ],
			    [
			        1741350908.3257926,
			        20,
			        1,
			        5
			    ],
			    [
			        1741350913.0939429,
			        20,
			        1,
			        5
			    ],
			    [
			        1741350918.549211,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350922.7107174,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350931.3063717,
			        20,
			        2,
			        10
			    ],
			    [
			        1741350937.6117742,
			        20,
			        2,
			        10
			    ],
			    [
			        1741351014.1059692,
			        20,
			        2,
			        10
			    ],
			    [
			        1741351018.7044046,
			        20,
			        2,
			        10
			    ],
			    [
			        1741351023.5990913,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351029.7075353,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351090.2479286,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351094.1662896,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351099.8658736,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351106.036678,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351195.076215,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351199.4004064,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351204.9717205,
			        20,
			        5,
			        25
			    ],
			    [
			        1741351208.7466507,
			        20,
			        5,
			        25
			    ],
			    [
			        1741351214.5112305,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351220.6124833,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351225.827611,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351305.5776339,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351310.2579134,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351315.6051307,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351320.3113673,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351326.679542,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351331.943272,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351401.6295354,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351405.8642886,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351411.4834616,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351416.5076706,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351422.3748848,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351427.730936,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351534.356798,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351539.4111602,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351545.1145933,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351549.2920182,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351555.494597,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351561.6931121,
			        20,
			        2,
			        10
			    ],
			    [
			        1741351568.4331098,
			        20,
			        1,
			        5
			    ],
			    [
			        1741351574.0624878,
			        20,
			        1,
			        5
			    ],
			    [
			        1741351684.6869106,
			        20,
			        1,
			        5
			    ],
			    [
			        1741351688.7490492,
			        20,
			        1,
			        5
			    ],
			    [
			        1741351694.4534507,
			        20,
			        2,
			        10
			    ],
			    [
			        1741351701.6709816,
			        20,
			        2,
			        10
			    ],
			    [
			        1741351787.2468638,
			        20,
			        2,
			        10
			    ],
			    [
			        1741351791.3017442,
			        20,
			        2,
			        10
			    ],
			    [
			        1741351797.1679027,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351803.3547208,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351877.5023093,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351881.7635484,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351887.3017905,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351891.9645069,
			        20,
			        4,
			        20
			    ],
			    [
			        1741351898.5234873,
			        20,
			        3,
			        15
			    ],
			    [
			        1741351904.0706067,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352013.2061145,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352017.5708747,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352023.1462045,
			        20,
			        4,
			        20
			    ],
			    [
			        1741352027.859357,
			        20,
			        4,
			        20
			    ],
			    [
			        1741352034.2062912,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352039.6742733,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352045.036425,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352145.2023017,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352149.762491,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352155.2807572,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352159.3204339,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352165.484846,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352170.9661913,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352238.8434372,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352243.0221426,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352248.5995522,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352254.7691157,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352367.9851196,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352372.6303804,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352377.705171,
			        20,
			        4,
			        20
			    ],
			    [
			        1741352382.458722,
			        20,
			        4,
			        20
			    ],
			    [
			        1741352388.4379654,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352394.4653676,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352400.0766273,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352488.9176235,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352493.3522232,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352499.488377,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352504.9855268,
			        20,
			        3,
			        15
			    ],
			    [
			        1741352511.4683743,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352515.5670822,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352521.4319592,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352531.627906,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352541.510338,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352551.9035122,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352561.8678284,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352571.8912199,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352581.8671145,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352592.0555243,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352602.114773,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352612.028558,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352622.5791495,
			        20,
			        2,
			        10
			    ],
			    [
			        1741352628.9189584,
			        20,
			        1,
			        5
			    ],
			    [
			        1741352647.8959851,
			        20,
			        1,
			        5
			    ],
			    [
			        1741352653.6826289,
			        20,
			        0,
			        0
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1741340003,
			        592.32421875,
			        39.5
			    ],
			    [
			        1741340003,
			        592.32421875,
			        37.3
			    ],
			    [
			        1741340003,
			        593.25,
			        36.7
			    ],
			    [
			        1741340003,
			        593.25,
			        43.2
			    ],
			    [
			        1741340003,
			        593.25,
			        27.3
			    ],
			    [
			        1741340003,
			        593.25,
			        36.8
			    ],
			    [
			        1741340003,
			        593.25,
			        27.3
			    ],
			    [
			        1741340089,
			        604.546875,
			        40.3
			    ],
			    [
			        1741340089,
			        604.546875,
			        45.8
			    ],
			    [
			        1741340089,
			        604.546875,
			        41.1
			    ],
			    [
			        1741340089,
			        604.546875,
			        46.7
			    ],
			    [
			        1741340094,
			        604.55078125,
			        41.1
			    ],
			    [
			        1741340094,
			        604.55078125,
			        45.7
			    ],
			    [
			        1741340094,
			        604.55078125,
			        39.8
			    ],
			    [
			        1741340094,
			        604.55078125,
			        48.9
			    ],
			    [
			        1741340099,
			        604.55078125,
			        40.8
			    ],
			    [
			        1741340099,
			        604.55078125,
			        42.6
			    ],
			    [
			        1741340099,
			        604.55078125,
			        40.6
			    ],
			    [
			        1741340099,
			        604.55078125,
			        50
			    ],
			    [
			        1741340104,
			        604.5703125,
			        41.5
			    ],
			    [
			        1741340104,
			        604.5703125,
			        43.8
			    ],
			    [
			        1741340104,
			        604.5703125,
			        39.3
			    ],
			    [
			        1741340104,
			        604.5703125,
			        46.5
			    ],
			    [
			        1741340109,
			        604.5703125,
			        41
			    ],
			    [
			        1741340109,
			        604.5703125,
			        42.6
			    ],
			    [
			        1741340109,
			        604.5703125,
			        38.9
			    ],
			    [
			        1741340109,
			        604.5703125,
			        42.5
			    ],
			    [
			        1741340114,
			        604.578125,
			        41.2
			    ],
			    [
			        1741340114,
			        604.578125,
			        42.6
			    ],
			    [
			        1741340114,
			        604.578125,
			        40.4
			    ],
			    [
			        1741340114,
			        604.578125,
			        48.8
			    ],
			    [
			        1741340120,
			        604.578125,
			        41.2
			    ],
			    [
			        1741340120,
			        604.578125,
			        31.4
			    ],
			    [
			        1741340120,
			        604.578125,
			        42.4
			    ],
			    [
			        1741340120,
			        604.578125,
			        50
			    ],
			    [
			        1741340125,
			        604.578125,
			        40.8
			    ],
			    [
			        1741340125,
			        604.578125,
			        27.3
			    ],
			    [
			        1741340125,
			        604.578125,
			        39.6
			    ],
			    [
			        1741340125,
			        604.578125,
			        47.6
			    ],
			    [
			        1741340130,
			        604.578125,
			        39.7
			    ],
			    [
			        1741340130,
			        604.578125,
			        43.4
			    ],
			    [
			        1741340130,
			        604.578125,
			        42.1
			    ],
			    [
			        1741340130,
			        604.578125,
			        47.8
			    ],
			    [
			        1741340135,
			        604.578125,
			        41.2
			    ],
			    [
			        1741340135,
			        604.578125,
			        31.4
			    ],
			    [
			        1741340135,
			        604.578125,
			        40.4
			    ],
			    [
			        1741340135,
			        604.578125,
			        46.7
			    ],
			    [
			        1741340140,
			        604.578125,
			        40.8
			    ],
			    [
			        1741340140,
			        604.578125,
			        27.8
			    ],
			    [
			        1741340140,
			        604.578125,
			        42.9
			    ],
			    [
			        1741340140,
			        604.578125,
			        31.3
			    ],
			    [
			        1741340145,
			        604.578125,
			        40.7
			    ],
			    [
			        1741340145,
			        604.578125,
			        46.7
			    ],
			    [
			        1741340145,
			        604.578125,
			        42.4
			    ],
			    [
			        1741340145,
			        604.578125,
			        33.3
			    ],
			    [
			        1741340150,
			        604.578125,
			        41.3
			    ],
			    [
			        1741340150,
			        604.578125,
			        30.3
			    ],
			    [
			        1741340150,
			        604.578125,
			        41.9
			    ],
			    [
			        1741340150,
			        604.578125,
			        46.9
			    ],
			    [
			        1741340155,
			        604.578125,
			        40.4
			    ],
			    [
			        1741340155,
			        604.578125,
			        41.9
			    ],
			    [
			        1741340155,
			        604.578125,
			        37.4
			    ],
			    [
			        1741340155,
			        604.578125,
			        46.5
			    ],
			    [
			        1741340160,
			        604.578125,
			        38.3
			    ],
			    [
			        1741340160,
			        604.578125,
			        44.7
			    ],
			    [
			        1741340161,
			        604.578125,
			        37.6
			    ],
			    [
			        1741340161,
			        604.578125,
			        40
			    ],
			    [
			        1741340165,
			        604.59765625,
			        38.3
			    ],
			    [
			        1741340165,
			        604.59765625,
			        45.7
			    ],
			    [
			        1741340165,
			        604.59765625,
			        37.5
			    ],
			    [
			        1741340165,
			        604.59765625,
			        42.1
			    ],
			    [
			        1741340171,
			        604.59765625,
			        41.2
			    ],
			    [
			        1741340171,
			        604.59765625,
			        38.6
			    ],
			    [
			        1741340171,
			        604.59765625,
			        41
			    ],
			    [
			        1741340171,
			        604.59765625,
			        48.9
			    ],
			    [
			        1741340176,
			        604.59765625,
			        40.1
			    ],
			    [
			        1741340176,
			        604.59765625,
			        43.2
			    ],
			    [
			        1741340176,
			        604.59765625,
			        36.9
			    ],
			    [
			        1741340176,
			        604.59765625,
			        46.5
			    ],
			    [
			        1741340181,
			        604.59765625,
			        38.2
			    ],
			    [
			        1741340181,
			        604.59765625,
			        35.5
			    ],
			    [
			        1741340181,
			        604.59765625,
			        36.8
			    ],
			    [
			        1741340181,
			        604.59765625,
			        47.7
			    ],
			    [
			        1741340186,
			        604.61328125,
			        38.3
			    ],
			    [
			        1741340186,
			        604.61328125,
			        37.5
			    ],
			    [
			        1741340186,
			        604.61328125,
			        40.7
			    ],
			    [
			        1741340186,
			        604.61328125,
			        39.1
			    ],
			    [
			        1741340191,
			        604.61328125,
			        38.3
			    ],
			    [
			        1741340191,
			        604.61328125,
			        39.7
			    ],
			    [
			        1741340191,
			        604.61328125,
			        44.7
			    ],
			    [
			        1741340191,
			        604.61328125,
			        33.3
			    ],
			    [
			        1741340197,
			        604.61328125,
			        41.5
			    ],
			    [
			        1741340197,
			        604.61328125,
			        46.7
			    ],
			    [
			        1741340197,
			        604.61328125,
			        41.1
			    ],
			    [
			        1741340197,
			        604.61328125,
			        45.5
			    ],
			    [
			        1741340202,
			        604.61328125,
			        41.2
			    ],
			    [
			        1741340202,
			        604.61328125,
			        47.8
			    ],
			    [
			        1741340202,
			        604.61328125,
			        39.6
			    ],
			    [
			        1741340202,
			        604.61328125,
			        47.6
			    ],
			    [
			        1741340207,
			        604.61328125,
			        41
			    ],
			    [
			        1741340207,
			        604.61328125,
			        28.6
			    ],
			    [
			        1741340207,
			        604.61328125,
			        46.6
			    ],
			    [
			        1741340207,
			        604.61328125,
			        40
			    ],
			    [
			        1741340212,
			        604.61328125,
			        40.7
			    ],
			    [
			        1741340212,
			        604.61328125,
			        43.4
			    ],
			    [
			        1741340212,
			        604.61328125,
			        41.4
			    ],
			    [
			        1741340212,
			        604.61328125,
			        35.1
			    ],
			    [
			        1741340217,
			        604.61328125,
			        41.2
			    ],
			    [
			        1741340217,
			        604.61328125,
			        32.4
			    ],
			    [
			        1741340217,
			        604.61328125,
			        42.1
			    ],
			    [
			        1741340218,
			        604.61328125,
			        40.5
			    ],
			    [
			        1741340223,
			        604.61328125,
			        41.5
			    ],
			    [
			        1741340223,
			        604.61328125,
			        32.4
			    ],
			    [
			        1741340223,
			        604.61328125,
			        42.4
			    ],
			    [
			        1741340223,
			        604.61328125,
			        30.3
			    ],
			    [
			        1741340228,
			        604.61328125,
			        41.5
			    ],
			    [
			        1741340228,
			        604.61328125,
			        42.9
			    ],
			    [
			        1741340228,
			        604.61328125,
			        41.1
			    ],
			    [
			        1741340228,
			        604.61328125,
			        47.7
			    ],
			    [
			        1741340235,
			        605.04296875,
			        41.3
			    ],
			    [
			        1741340235,
			        605.04296875,
			        40.8
			    ],
			    [
			        1741340235,
			        605.04296875,
			        40.1
			    ],
			    [
			        1741340235,
			        605.04296875,
			        48.8
			    ],
			    [
			        1741340244,
			        605.09765625,
			        41.2
			    ],
			    [
			        1741340244,
			        605.09765625,
			        30.6
			    ],
			    [
			        1741340244,
			        605.09765625,
			        44.5
			    ],
			    [
			        1741340244,
			        605.09765625,
			        34.4
			    ],
			    [
			        1741340253,
			        605.09765625,
			        41.3
			    ],
			    [
			        1741340253,
			        605.09765625,
			        46.7
			    ],
			    [
			        1741340253,
			        605.09765625,
			        42.1
			    ],
			    [
			        1741340253,
			        605.09765625,
			        33.3
			    ],
			    [
			        1741340262,
			        605.10546875,
			        41.5
			    ],
			    [
			        1741340262,
			        605.10546875,
			        46.8
			    ],
			    [
			        1741340262,
			        605.10546875,
			        40.9
			    ],
			    [
			        1741340262,
			        605.10546875,
			        34.4
			    ],
			    [
			        1741340272,
			        605.25,
			        41.2
			    ],
			    [
			        1741340272,
			        605.25,
			        34.3
			    ],
			    [
			        1741340272,
			        605.25,
			        42
			    ],
			    [
			        1741340272,
			        605.25,
			        50
			    ],
			    [
			        1741340280,
			        605.25,
			        41.5
			    ],
			    [
			        1741340280,
			        605.25,
			        46.8
			    ],
			    [
			        1741340280,
			        605.25,
			        41.8
			    ],
			    [
			        1741340280,
			        605.25,
			        36.4
			    ],
			    [
			        1741340290,
			        605.38671875,
			        41.4
			    ],
			    [
			        1741340290,
			        605.45703125,
			        43.5
			    ],
			    [
			        1741340290,
			        605.45703125,
			        40.4
			    ],
			    [
			        1741340290,
			        605.45703125,
			        50
			    ],
			    [
			        1741340299,
			        605.45703125,
			        41.4
			    ],
			    [
			        1741340299,
			        605.45703125,
			        45.5
			    ],
			    [
			        1741340299,
			        605.45703125,
			        40.4
			    ],
			    [
			        1741340299,
			        605.45703125,
			        39.6
			    ],
			    [
			        1741340308,
			        605.47265625,
			        40.1
			    ],
			    [
			        1741340308,
			        605.47265625,
			        46.7
			    ],
			    [
			        1741340308,
			        605.47265625,
			        38.3
			    ],
			    [
			        1741340308,
			        605.47265625,
			        48.8
			    ],
			    [
			        1741340315,
			        605.47265625,
			        40
			    ],
			    [
			        1741340315,
			        605.47265625,
			        36.5
			    ],
			    [
			        1741340315,
			        605.47265625,
			        38.9
			    ],
			    [
			        1741340315,
			        605.47265625,
			        42.9
			    ],
			    [
			        1741340324,
			        605.47265625,
			        40.1
			    ],
			    [
			        1741340324,
			        605.47265625,
			        47.7
			    ],
			    [
			        1741340324,
			        605.47265625,
			        41.3
			    ],
			    [
			        1741340324,
			        605.47265625,
			        31.2
			    ],
			    [
			        1741340332,
			        605.60546875,
			        41.5
			    ],
			    [
			        1741340332,
			        605.60546875,
			        43.8
			    ],
			    [
			        1741340332,
			        605.60546875,
			        39.8
			    ],
			    [
			        1741340332,
			        605.60546875,
			        50
			    ],
			    [
			        1741340340,
			        605.60546875,
			        41.2
			    ],
			    [
			        1741340340,
			        605.60546875,
			        48.9
			    ],
			    [
			        1741340340,
			        605.60546875,
			        42.1
			    ],
			    [
			        1741340340,
			        605.60546875,
			        43.6
			    ],
			    [
			        1741340348,
			        605.60546875,
			        41.2
			    ],
			    [
			        1741340348,
			        605.60546875,
			        44.7
			    ],
			    [
			        1741340348,
			        605.60546875,
			        38.9
			    ],
			    [
			        1741340348,
			        605.60546875,
			        47.7
			    ],
			    [
			        1741340357,
			        605.78125,
			        41.4
			    ],
			    [
			        1741340357,
			        605.78125,
			        30.6
			    ],
			    [
			        1741340357,
			        605.78125,
			        42.9
			    ],
			    [
			        1741340357,
			        605.78125,
			        43.8
			    ],
			    [
			        1741340364,
			        605.78125,
			        40.1
			    ],
			    [
			        1741340364,
			        605.78125,
			        43.5
			    ],
			    [
			        1741340364,
			        605.78125,
			        37.9
			    ],
			    [
			        1741340364,
			        605.78125,
			        39.5
			    ],
			    [
			        1741340372,
			        605.78125,
			        40.5
			    ],
			    [
			        1741340372,
			        605.78125,
			        37.5
			    ],
			    [
			        1741340372,
			        605.78125,
			        40.5
			    ],
			    [
			        1741340372,
			        605.78125,
			        47.7
			    ],
			    [
			        1741340379,
			        605.78125,
			        41.5
			    ],
			    [
			        1741340379,
			        605.78125,
			        45.5
			    ],
			    [
			        1741340379,
			        605.78125,
			        41.9
			    ],
			    [
			        1741340379,
			        605.78125,
			        46.7
			    ],
			    [
			        1741340386,
			        605.78125,
			        41.4
			    ],
			    [
			        1741340386,
			        605.78125,
			        36.8
			    ],
			    [
			        1741340386,
			        605.78125,
			        40.7
			    ],
			    [
			        1741340386,
			        605.78125,
			        50
			    ],
			    [
			        1741340393,
			        605.78125,
			        41.4
			    ],
			    [
			        1741340393,
			        605.78125,
			        43.8
			    ],
			    [
			        1741340393,
			        605.78125,
			        42.2
			    ],
			    [
			        1741340393,
			        605.78125,
			        36.4
			    ],
			    [
			        1741340400,
			        605.78125,
			        41.2
			    ],
			    [
			        1741340400,
			        605.78125,
			        46.7
			    ],
			    [
			        1741340400,
			        605.78125,
			        42.8
			    ],
			    [
			        1741340400,
			        605.78125,
			        33.3
			    ],
			    [
			        1741340407,
			        605.78125,
			        39.4
			    ],
			    [
			        1741340407,
			        605.78125,
			        44.2
			    ],
			    [
			        1741340407,
			        605.78125,
			        36.4
			    ],
			    [
			        1741340407,
			        605.78125,
			        43.9
			    ],
			    [
			        1741340414,
			        605.78125,
			        41
			    ],
			    [
			        1741340414,
			        605.78125,
			        45.5
			    ],
			    [
			        1741340414,
			        605.78125,
			        40.8
			    ],
			    [
			        1741340414,
			        605.78125,
			        40.5
			    ],
			    [
			        1741340422,
			        605.78125,
			        41.4
			    ],
			    [
			        1741340422,
			        605.78125,
			        46.7
			    ],
			    [
			        1741340422,
			        605.78125,
			        37.8
			    ],
			    [
			        1741340422,
			        605.78125,
			        50
			    ],
			    [
			        1741340429,
			        606.34375,
			        41.4
			    ],
			    [
			        1741340429,
			        606.34375,
			        30.3
			    ],
			    [
			        1741340429,
			        606.34375,
			        42.2
			    ],
			    [
			        1741340429,
			        606.34375,
			        47.4
			    ],
			    [
			        1741340437,
			        606.390625,
			        41.5
			    ],
			    [
			        1741340437,
			        606.390625,
			        45.7
			    ],
			    [
			        1741340437,
			        606.390625,
			        41.7
			    ],
			    [
			        1741340437,
			        606.390625,
			        38.9
			    ],
			    [
			        1741340444,
			        606.390625,
			        41.4
			    ],
			    [
			        1741340444,
			        606.390625,
			        32.4
			    ],
			    [
			        1741340444,
			        606.390625,
			        42.3
			    ],
			    [
			        1741340444,
			        606.390625,
			        42.1
			    ],
			    [
			        1741340450,
			        606.390625,
			        41.1
			    ],
			    [
			        1741340450,
			        606.390625,
			        44.4
			    ],
			    [
			        1741340450,
			        606.390625,
			        40.3
			    ],
			    [
			        1741340450,
			        606.390625,
			        34.4
			    ],
			    [
			        1741340456,
			        606.390625,
			        40.4
			    ],
			    [
			        1741340456,
			        606.390625,
			        46.7
			    ],
			    [
			        1741340456,
			        606.390625,
			        40.8
			    ],
			    [
			        1741340456,
			        606.390625,
			        47.6
			    ],
			    [
			        1741340463,
			        606.390625,
			        41.5
			    ],
			    [
			        1741340463,
			        606.390625,
			        45.7
			    ],
			    [
			        1741340463,
			        606.390625,
			        39.4
			    ],
			    [
			        1741340463,
			        606.390625,
			        43.6
			    ],
			    [
			        1741340469,
			        606.390625,
			        40.9
			    ],
			    [
			        1741340469,
			        606.390625,
			        39.5
			    ],
			    [
			        1741340470,
			        606.390625,
			        42.5
			    ],
			    [
			        1741340470,
			        606.390625,
			        34.4
			    ],
			    [
			        1741340476,
			        606.390625,
			        41.3
			    ],
			    [
			        1741340476,
			        606.390625,
			        46.5
			    ],
			    [
			        1741340476,
			        606.390625,
			        40.7
			    ],
			    [
			        1741340476,
			        606.390625,
			        45.7
			    ],
			    [
			        1741340483,
			        606.390625,
			        41
			    ],
			    [
			        1741340483,
			        606.390625,
			        40.8
			    ],
			    [
			        1741340483,
			        606.390625,
			        40.1
			    ],
			    [
			        1741340483,
			        606.390625,
			        33.3
			    ],
			    [
			        1741340489,
			        606.39453125,
			        41.4
			    ],
			    [
			        1741340489,
			        606.39453125,
			        39.6
			    ],
			    [
			        1741340489,
			        606.39453125,
			        43.9
			    ],
			    [
			        1741340489,
			        606.39453125,
			        35.3
			    ],
			    [
			        1741340496,
			        606.46484375,
			        40.8
			    ],
			    [
			        1741340496,
			        606.46484375,
			        45.5
			    ],
			    [
			        1741340496,
			        606.46484375,
			        38.9
			    ],
			    [
			        1741340496,
			        606.46484375,
			        44.4
			    ],
			    [
			        1741340503,
			        606.46484375,
			        40.5
			    ],
			    [
			        1741340503,
			        606.46484375,
			        26.5
			    ],
			    [
			        1741340503,
			        606.46484375,
			        43.4
			    ],
			    [
			        1741340503,
			        606.46484375,
			        31.3
			    ],
			    [
			        1741340509,
			        606.46484375,
			        41.4
			    ],
			    [
			        1741340509,
			        606.46484375,
			        45.7
			    ],
			    [
			        1741340509,
			        606.46484375,
			        42.9
			    ],
			    [
			        1741340509,
			        606.46484375,
			        33.3
			    ],
			    [
			        1741340515,
			        606.46484375,
			        41.2
			    ],
			    [
			        1741340515,
			        606.46484375,
			        47.6
			    ],
			    [
			        1741340515,
			        606.46484375,
			        41.7
			    ],
			    [
			        1741340515,
			        606.46484375,
			        31.2
			    ],
			    [
			        1741340521,
			        606.46484375,
			        41.4
			    ],
			    [
			        1741340521,
			        606.46484375,
			        28.1
			    ],
			    [
			        1741340521,
			        606.46484375,
			        43.7
			    ],
			    [
			        1741340521,
			        606.46484375,
			        33.3
			    ],
			    [
			        1741340527,
			        606.46484375,
			        41.5
			    ],
			    [
			        1741340527,
			        606.46484375,
			        47.7
			    ],
			    [
			        1741340527,
			        606.46484375,
			        42
			    ],
			    [
			        1741340527,
			        606.46484375,
			        33.3
			    ],
			    [
			        1741340534,
			        606.46484375,
			        41.2
			    ],
			    [
			        1741340534,
			        606.46484375,
			        40.9
			    ],
			    [
			        1741340534,
			        606.46484375,
			        41.2
			    ],
			    [
			        1741340534,
			        606.46484375,
			        47.6
			    ],
			    [
			        1741340541,
			        606.46484375,
			        41.4
			    ],
			    [
			        1741340541,
			        606.46484375,
			        48.9
			    ],
			    [
			        1741340541,
			        606.46484375,
			        41.6
			    ],
			    [
			        1741340541,
			        606.46484375,
			        32.3
			    ],
			    [
			        1741340547,
			        606.46484375,
			        40.9
			    ],
			    [
			        1741340547,
			        606.46484375,
			        32.4
			    ],
			    [
			        1741340547,
			        606.46484375,
			        41
			    ],
			    [
			        1741340547,
			        606.46484375,
			        50
			    ],
			    [
			        1741340553,
			        606.46484375,
			        40.9
			    ],
			    [
			        1741340553,
			        606.46484375,
			        34.3
			    ],
			    [
			        1741340553,
			        606.46484375,
			        43.4
			    ],
			    [
			        1741340553,
			        606.46484375,
			        33.3
			    ],
			    [
			        1741340560,
			        606.46875,
			        41.4
			    ],
			    [
			        1741340560,
			        606.46875,
			        46.8
			    ],
			    [
			        1741340560,
			        606.46875,
			        42.1
			    ],
			    [
			        1741340560,
			        606.46875,
			        34.4
			    ],
			    [
			        1741340566,
			        606.47265625,
			        41.3
			    ],
			    [
			        1741340566,
			        606.47265625,
			        48.9
			    ],
			    [
			        1741340566,
			        606.47265625,
			        41.1
			    ],
			    [
			        1741340566,
			        606.47265625,
			        32.4
			    ],
			    [
			        1741340571,
			        606.47265625,
			        41.3
			    ],
			    [
			        1741340571,
			        606.47265625,
			        30.6
			    ],
			    [
			        1741340571,
			        606.47265625,
			        41.4
			    ],
			    [
			        1741340571,
			        606.47265625,
			        47.6
			    ],
			    [
			        1741340577,
			        606.47265625,
			        40.7
			    ],
			    [
			        1741340577,
			        606.47265625,
			        48.9
			    ],
			    [
			        1741340577,
			        606.47265625,
			        41.3
			    ],
			    [
			        1741340577,
			        606.47265625,
			        36.4
			    ],
			    [
			        1741340582,
			        606.47265625,
			        40.9
			    ],
			    [
			        1741340582,
			        606.47265625,
			        30.3
			    ],
			    [
			        1741340582,
			        606.47265625,
			        43.1
			    ],
			    [
			        1741340582,
			        606.47265625,
			        36.4
			    ],
			    [
			        1741340588,
			        606.47265625,
			        41.5
			    ],
			    [
			        1741340588,
			        606.47265625,
			        46.7
			    ],
			    [
			        1741340588,
			        606.47265625,
			        42.4
			    ],
			    [
			        1741340588,
			        606.47265625,
			        34.4
			    ],
			    [
			        1741340594,
			        606.52734375,
			        41.4
			    ],
			    [
			        1741340594,
			        606.52734375,
			        46.5
			    ],
			    [
			        1741340594,
			        606.52734375,
			        42.9
			    ],
			    [
			        1741340594,
			        606.52734375,
			        43.9
			    ],
			    [
			        1741340600,
			        606.53515625,
			        41.4
			    ],
			    [
			        1741340600,
			        606.53515625,
			        38.9
			    ],
			    [
			        1741340600,
			        606.53515625,
			        44.1
			    ],
			    [
			        1741340600,
			        606.53515625,
			        34.4
			    ],
			    [
			        1741340606,
			        606.53515625,
			        41.4
			    ],
			    [
			        1741340606,
			        606.53515625,
			        46.7
			    ],
			    [
			        1741340606,
			        606.53515625,
			        40
			    ],
			    [
			        1741340606,
			        606.53515625,
			        46.9
			    ],
			    [
			        1741340611,
			        606.53515625,
			        41.2
			    ],
			    [
			        1741340611,
			        606.53515625,
			        30.3
			    ],
			    [
			        1741340611,
			        606.53515625,
			        41
			    ],
			    [
			        1741340611,
			        606.53515625,
			        31.2
			    ],
			    [
			        1741340617,
			        606.53515625,
			        39.9
			    ],
			    [
			        1741340617,
			        606.53515625,
			        47.8
			    ],
			    [
			        1741340617,
			        606.53515625,
			        38.9
			    ],
			    [
			        1741340617,
			        606.53515625,
			        31.3
			    ],
			    [
			        1741340623,
			        606.828125,
			        39.3
			    ],
			    [
			        1741340623,
			        606.828125,
			        31.4
			    ],
			    [
			        1741340623,
			        606.828125,
			        39.1
			    ],
			    [
			        1741340623,
			        606.828125,
			        48.9
			    ],
			    [
			        1741340628,
			        606.828125,
			        38.3
			    ],
			    [
			        1741340628,
			        606.828125,
			        42.2
			    ],
			    [
			        1741340628,
			        606.828125,
			        37.3
			    ],
			    [
			        1741340628,
			        606.828125,
			        29
			    ],
			    [
			        1741340633,
			        606.828125,
			        37.9
			    ],
			    [
			        1741340633,
			        606.828125,
			        42
			    ],
			    [
			        1741340633,
			        606.828125,
			        37.1
			    ],
			    [
			        1741340633,
			        606.828125,
			        45.5
			    ],
			    [
			        1741340639,
			        606.828125,
			        39.4
			    ],
			    [
			        1741340639,
			        606.828125,
			        45.7
			    ],
			    [
			        1741340639,
			        606.828125,
			        42.7
			    ],
			    [
			        1741340639,
			        606.828125,
			        34.4
			    ],
			    [
			        1741340644,
			        606.828125,
			        41.3
			    ],
			    [
			        1741340644,
			        606.828125,
			        35.3
			    ],
			    [
			        1741340644,
			        606.828125,
			        42.7
			    ],
			    [
			        1741340644,
			        606.828125,
			        31.3
			    ],
			    [
			        1741340649,
			        606.828125,
			        41.4
			    ],
			    [
			        1741340649,
			        606.828125,
			        47.7
			    ],
			    [
			        1741340649,
			        606.828125,
			        37.4
			    ],
			    [
			        1741340649,
			        606.828125,
			        51.2
			    ],
			    [
			        1741340655,
			        606.828125,
			        41.5
			    ],
			    [
			        1741340655,
			        606.828125,
			        31.4
			    ],
			    [
			        1741340655,
			        606.828125,
			        41.7
			    ],
			    [
			        1741340655,
			        606.828125,
			        50
			    ],
			    [
			        1741340660,
			        606.828125,
			        41.3
			    ],
			    [
			        1741340660,
			        606.828125,
			        38.2
			    ],
			    [
			        1741340660,
			        606.828125,
			        42
			    ],
			    [
			        1741340660,
			        606.828125,
			        34.4
			    ],
			    [
			        1741340666,
			        606.90234375,
			        41.3
			    ],
			    [
			        1741340666,
			        606.90234375,
			        46.9
			    ],
			    [
			        1741340666,
			        606.90234375,
			        41.4
			    ],
			    [
			        1741340666,
			        606.90234375,
			        33.3
			    ],
			    [
			        1741340673,
			        606.90234375,
			        41.1
			    ],
			    [
			        1741340673,
			        606.90234375,
			        41
			    ],
			    [
			        1741340673,
			        606.90234375,
			        41.7
			    ],
			    [
			        1741340673,
			        606.90234375,
			        41
			    ],
			    [
			        1741340678,
			        606.97265625,
			        40.8
			    ],
			    [
			        1741340678,
			        606.97265625,
			        48.5
			    ],
			    [
			        1741340678,
			        606.97265625,
			        40.1
			    ],
			    [
			        1741340678,
			        606.97265625,
			        48.8
			    ],
			    [
			        1741340682,
			        606.97265625,
			        40.1
			    ],
			    [
			        1741340682,
			        606.97265625,
			        47.7
			    ],
			    [
			        1741340682,
			        606.97265625,
			        39.4
			    ],
			    [
			        1741340682,
			        606.97265625,
			        29
			    ],
			    [
			        1741340687,
			        606.97265625,
			        38.3
			    ],
			    [
			        1741340687,
			        606.97265625,
			        45.5
			    ],
			    [
			        1741340687,
			        606.97265625,
			        39.2
			    ],
			    [
			        1741340687,
			        606.97265625,
			        33.9
			    ],
			    [
			        1741340691,
			        606.97265625,
			        37.9
			    ],
			    [
			        1741340691,
			        606.97265625,
			        41.3
			    ],
			    [
			        1741340691,
			        606.97265625,
			        41.1
			    ],
			    [
			        1741340691,
			        606.97265625,
			        30.3
			    ],
			    [
			        1741340695,
			        606.97265625,
			        38.5
			    ],
			    [
			        1741340695,
			        606.97265625,
			        45.5
			    ],
			    [
			        1741340695,
			        606.97265625,
			        38.1
			    ],
			    [
			        1741340695,
			        606.97265625,
			        47.6
			    ],
			    [
			        1741340699,
			        606.97265625,
			        40.2
			    ],
			    [
			        1741340699,
			        606.97265625,
			        47.7
			    ],
			    [
			        1741340699,
			        606.97265625,
			        40.6
			    ],
			    [
			        1741340699,
			        606.97265625,
			        30.3
			    ],
			    [
			        1741340704,
			        606.97265625,
			        41
			    ],
			    [
			        1741340704,
			        606.97265625,
			        32.4
			    ],
			    [
			        1741340704,
			        606.97265625,
			        41.3
			    ],
			    [
			        1741340704,
			        606.97265625,
			        50
			    ],
			    [
			        1741340708,
			        606.97265625,
			        40.8
			    ],
			    [
			        1741340708,
			        606.97265625,
			        44.2
			    ],
			    [
			        1741340708,
			        606.97265625,
			        39
			    ],
			    [
			        1741340708,
			        606.97265625,
			        48.8
			    ],
			    [
			        1741340712,
			        606.97265625,
			        40
			    ],
			    [
			        1741340712,
			        606.97265625,
			        30.3
			    ],
			    [
			        1741340712,
			        606.97265625,
			        40
			    ],
			    [
			        1741340712,
			        606.97265625,
			        48.8
			    ],
			    [
			        1741340717,
			        606.97265625,
			        40.1
			    ],
			    [
			        1741340717,
			        606.97265625,
			        40.5
			    ],
			    [
			        1741340717,
			        606.97265625,
			        40.4
			    ],
			    [
			        1741340717,
			        606.97265625,
			        47.6
			    ],
			    [
			        1741340721,
			        606.97265625,
			        41
			    ],
			    [
			        1741340721,
			        606.97265625,
			        41
			    ],
			    [
			        1741340721,
			        606.97265625,
			        40.9
			    ],
			    [
			        1741340721,
			        606.97265625,
			        48.8
			    ],
			    [
			        1741340725,
			        606.97265625,
			        40.9
			    ],
			    [
			        1741340725,
			        606.97265625,
			        33.3
			    ],
			    [
			        1741340725,
			        606.97265625,
			        41.4
			    ],
			    [
			        1741340725,
			        606.97265625,
			        50
			    ],
			    [
			        1741340730,
			        607.02734375,
			        40.4
			    ],
			    [
			        1741340730,
			        607.02734375,
			        37.8
			    ],
			    [
			        1741340730,
			        607.02734375,
			        40.4
			    ],
			    [
			        1741340730,
			        607.02734375,
			        31.2
			    ],
			    [
			        1741340734,
			        607.0859375,
			        40.7
			    ],
			    [
			        1741340734,
			        607.0859375,
			        42.9
			    ],
			    [
			        1741340734,
			        607.0859375,
			        39.7
			    ],
			    [
			        1741340734,
			        607.0859375,
			        36.4
			    ],
			    [
			        1741340738,
			        607.0859375,
			        40.5
			    ],
			    [
			        1741340738,
			        607.0859375,
			        33.3
			    ],
			    [
			        1741340738,
			        607.0859375,
			        40.4
			    ],
			    [
			        1741340738,
			        607.0859375,
			        41.7
			    ],
			    [
			        1741340743,
			        607.0859375,
			        39.2
			    ],
			    [
			        1741340743,
			        607.0859375,
			        29.4
			    ],
			    [
			        1741340743,
			        607.0859375,
			        39
			    ],
			    [
			        1741340743,
			        607.0859375,
			        47.7
			    ],
			    [
			        1741340748,
			        607.2421875,
			        39.7
			    ],
			    [
			        1741340748,
			        607.2421875,
			        29.4
			    ],
			    [
			        1741340748,
			        607.2421875,
			        42.2
			    ],
			    [
			        1741340748,
			        607.2421875,
			        48.8
			    ],
			    [
			        1741340752,
			        607.2421875,
			        41
			    ],
			    [
			        1741340752,
			        607.2421875,
			        47.7
			    ],
			    [
			        1741340752,
			        607.2421875,
			        39.8
			    ],
			    [
			        1741340752,
			        607.2421875,
			        47.6
			    ],
			    [
			        1741340756,
			        607.2421875,
			        41
			    ],
			    [
			        1741340756,
			        607.2421875,
			        42.9
			    ],
			    [
			        1741340756,
			        607.2421875,
			        41.1
			    ],
			    [
			        1741340756,
			        607.2421875,
			        35.3
			    ],
			    [
			        1741340760,
			        607.44140625,
			        41.1
			    ],
			    [
			        1741340760,
			        607.44140625,
			        31.4
			    ],
			    [
			        1741340760,
			        607.44140625,
			        43.5
			    ],
			    [
			        1741340760,
			        607.44140625,
			        30.3
			    ],
			    [
			        1741340764,
			        607.44140625,
			        41
			    ],
			    [
			        1741340764,
			        607.44140625,
			        45.5
			    ],
			    [
			        1741340764,
			        607.44140625,
			        41.1
			    ],
			    [
			        1741340764,
			        607.44140625,
			        31.3
			    ],
			    [
			        1741340768,
			        607.44140625,
			        40.8
			    ],
			    [
			        1741340768,
			        607.44140625,
			        40
			    ],
			    [
			        1741340768,
			        607.44140625,
			        39.7
			    ],
			    [
			        1741340768,
			        607.44140625,
			        36.4
			    ],
			    [
			        1741340772,
			        607.44140625,
			        40.5
			    ],
			    [
			        1741340772,
			        607.44140625,
			        46.7
			    ],
			    [
			        1741340772,
			        607.44140625,
			        39.7
			    ],
			    [
			        1741340772,
			        607.44140625,
			        50
			    ],
			    [
			        1741340776,
			        607.44140625,
			        39.4
			    ],
			    [
			        1741340776,
			        607.44140625,
			        46.5
			    ],
			    [
			        1741340776,
			        607.44140625,
			        39.9
			    ],
			    [
			        1741340776,
			        607.44140625,
			        47.6
			    ],
			    [
			        1741340780,
			        607.44140625,
			        40.6
			    ],
			    [
			        1741340780,
			        607.44140625,
			        36.2
			    ],
			    [
			        1741340780,
			        607.44140625,
			        39.5
			    ],
			    [
			        1741340780,
			        607.44140625,
			        48.8
			    ],
			    [
			        1741340784,
			        607.44140625,
			        40.5
			    ],
			    [
			        1741340784,
			        607.44140625,
			        47.7
			    ],
			    [
			        1741340784,
			        607.44140625,
			        40.3
			    ],
			    [
			        1741340784,
			        607.44140625,
			        48.8
			    ],
			    [
			        1741340788,
			        607.4453125,
			        41
			    ],
			    [
			        1741340788,
			        607.4453125,
			        46.7
			    ],
			    [
			        1741340788,
			        607.4453125,
			        41.4
			    ],
			    [
			        1741340788,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340793,
			        607.4453125,
			        41
			    ],
			    [
			        1741340793,
			        607.4453125,
			        37.8
			    ],
			    [
			        1741340793,
			        607.4453125,
			        40.9
			    ],
			    [
			        1741340793,
			        607.4453125,
			        50
			    ],
			    [
			        1741340796,
			        607.4453125,
			        40.8
			    ],
			    [
			        1741340796,
			        607.4453125,
			        32.4
			    ],
			    [
			        1741340796,
			        607.4453125,
			        40.3
			    ],
			    [
			        1741340796,
			        607.4453125,
			        47.7
			    ],
			    [
			        1741340800,
			        607.4453125,
			        41
			    ],
			    [
			        1741340800,
			        607.4453125,
			        30.3
			    ],
			    [
			        1741340800,
			        607.4453125,
			        40.7
			    ],
			    [
			        1741340800,
			        607.4453125,
			        46.5
			    ],
			    [
			        1741340804,
			        607.4453125,
			        39.9
			    ],
			    [
			        1741340804,
			        607.4453125,
			        30.3
			    ],
			    [
			        1741340804,
			        607.4453125,
			        38.8
			    ],
			    [
			        1741340804,
			        607.4453125,
			        48.8
			    ],
			    [
			        1741340808,
			        607.4453125,
			        37.9
			    ],
			    [
			        1741340808,
			        607.4453125,
			        31.4
			    ],
			    [
			        1741340808,
			        607.4453125,
			        38.8
			    ],
			    [
			        1741340808,
			        607.4453125,
			        39.2
			    ],
			    [
			        1741340812,
			        607.4453125,
			        40.2
			    ],
			    [
			        1741340812,
			        607.4453125,
			        30.6
			    ],
			    [
			        1741340812,
			        607.4453125,
			        42.4
			    ],
			    [
			        1741340812,
			        607.4453125,
			        48.8
			    ],
			    [
			        1741340817,
			        607.4453125,
			        41
			    ],
			    [
			        1741340817,
			        607.4453125,
			        34.3
			    ],
			    [
			        1741340817,
			        607.4453125,
			        41.3
			    ],
			    [
			        1741340817,
			        607.4453125,
			        31.2
			    ],
			    [
			        1741340820,
			        607.4453125,
			        40.4
			    ],
			    [
			        1741340820,
			        607.4453125,
			        46.7
			    ],
			    [
			        1741340820,
			        607.4453125,
			        38
			    ],
			    [
			        1741340820,
			        607.4453125,
			        50
			    ],
			    [
			        1741340824,
			        607.4453125,
			        40.4
			    ],
			    [
			        1741340824,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340824,
			        607.4453125,
			        40.9
			    ],
			    [
			        1741340824,
			        607.4453125,
			        48.8
			    ],
			    [
			        1741340829,
			        607.4453125,
			        41
			    ],
			    [
			        1741340829,
			        607.4453125,
			        47.8
			    ],
			    [
			        1741340829,
			        607.4453125,
			        40.6
			    ],
			    [
			        1741340829,
			        607.4453125,
			        31.3
			    ],
			    [
			        1741340833,
			        607.4453125,
			        39.8
			    ],
			    [
			        1741340833,
			        607.4453125,
			        42.1
			    ],
			    [
			        1741340833,
			        607.4453125,
			        40.6
			    ],
			    [
			        1741340833,
			        607.4453125,
			        44.7
			    ],
			    [
			        1741340837,
			        607.4453125,
			        41
			    ],
			    [
			        1741340837,
			        607.4453125,
			        34.3
			    ],
			    [
			        1741340837,
			        607.4453125,
			        40.4
			    ],
			    [
			        1741340837,
			        607.4453125,
			        47.5
			    ],
			    [
			        1741340841,
			        607.4453125,
			        40.2
			    ],
			    [
			        1741340841,
			        607.4453125,
			        32.4
			    ],
			    [
			        1741340841,
			        607.4453125,
			        42.1
			    ],
			    [
			        1741340841,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340844,
			        607.4453125,
			        39.1
			    ],
			    [
			        1741340844,
			        607.4453125,
			        30.3
			    ],
			    [
			        1741340844,
			        607.4453125,
			        41.5
			    ],
			    [
			        1741340844,
			        607.4453125,
			        25.7
			    ],
			    [
			        1741340849,
			        607.4453125,
			        38.4
			    ],
			    [
			        1741340849,
			        607.4453125,
			        45.5
			    ],
			    [
			        1741340849,
			        607.4453125,
			        37
			    ],
			    [
			        1741340849,
			        607.4453125,
			        47.6
			    ],
			    [
			        1741340853,
			        607.4453125,
			        38.1
			    ],
			    [
			        1741340853,
			        607.4453125,
			        29.4
			    ],
			    [
			        1741340853,
			        607.4453125,
			        37.6
			    ],
			    [
			        1741340853,
			        607.4453125,
			        45.2
			    ],
			    [
			        1741340857,
			        607.4453125,
			        37.3
			    ],
			    [
			        1741340857,
			        607.4453125,
			        29.4
			    ],
			    [
			        1741340857,
			        607.4453125,
			        37
			    ],
			    [
			        1741340857,
			        607.4453125,
			        43.9
			    ],
			    [
			        1741340861,
			        607.4453125,
			        36.9
			    ],
			    [
			        1741340861,
			        607.4453125,
			        34.5
			    ],
			    [
			        1741340861,
			        607.4453125,
			        36.8
			    ],
			    [
			        1741340861,
			        607.4453125,
			        28.1
			    ],
			    [
			        1741340865,
			        607.4453125,
			        37.8
			    ],
			    [
			        1741340865,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340865,
			        607.4453125,
			        40.3
			    ],
			    [
			        1741340865,
			        607.4453125,
			        50
			    ],
			    [
			        1741340868,
			        607.4453125,
			        40.4
			    ],
			    [
			        1741340868,
			        607.4453125,
			        28.1
			    ],
			    [
			        1741340868,
			        607.4453125,
			        40.1
			    ],
			    [
			        1741340868,
			        607.4453125,
			        51.2
			    ],
			    [
			        1741340872,
			        607.4453125,
			        41
			    ],
			    [
			        1741340872,
			        607.4453125,
			        30.3
			    ],
			    [
			        1741340872,
			        607.4453125,
			        43.2
			    ],
			    [
			        1741340872,
			        607.4453125,
			        42.3
			    ],
			    [
			        1741340877,
			        607.4453125,
			        40.3
			    ],
			    [
			        1741340877,
			        607.4453125,
			        46.7
			    ],
			    [
			        1741340877,
			        607.4453125,
			        38.1
			    ],
			    [
			        1741340877,
			        607.4453125,
			        50
			    ],
			    [
			        1741340880,
			        607.4453125,
			        41
			    ],
			    [
			        1741340880,
			        607.4453125,
			        47.7
			    ],
			    [
			        1741340880,
			        607.4453125,
			        39.3
			    ],
			    [
			        1741340880,
			        607.4453125,
			        47.6
			    ],
			    [
			        1741340884,
			        607.4453125,
			        40.4
			    ],
			    [
			        1741340884,
			        607.4453125,
			        32.4
			    ],
			    [
			        1741340884,
			        607.4453125,
			        39.1
			    ],
			    [
			        1741340884,
			        607.4453125,
			        47.6
			    ],
			    [
			        1741340888,
			        607.4453125,
			        39.7
			    ],
			    [
			        1741340888,
			        607.4453125,
			        42.2
			    ],
			    [
			        1741340888,
			        607.4453125,
			        41.1
			    ],
			    [
			        1741340888,
			        607.4453125,
			        32.4
			    ],
			    [
			        1741340892,
			        607.4453125,
			        37.1
			    ],
			    [
			        1741340892,
			        607.4453125,
			        36.5
			    ],
			    [
			        1741340892,
			        607.4453125,
			        37.2
			    ],
			    [
			        1741340892,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340896,
			        607.4453125,
			        36.8
			    ],
			    [
			        1741340896,
			        607.4453125,
			        25
			    ],
			    [
			        1741340896,
			        607.4453125,
			        38.3
			    ],
			    [
			        1741340897,
			        607.4453125,
			        42.2
			    ],
			    [
			        1741340900,
			        607.4453125,
			        36.7
			    ],
			    [
			        1741340900,
			        607.4453125,
			        42.2
			    ],
			    [
			        1741340900,
			        607.4453125,
			        39
			    ],
			    [
			        1741340900,
			        607.4453125,
			        30.3
			    ],
			    [
			        1741340905,
			        607.4453125,
			        37
			    ],
			    [
			        1741340905,
			        607.4453125,
			        27.8
			    ],
			    [
			        1741340905,
			        607.4453125,
			        37.6
			    ],
			    [
			        1741340905,
			        607.4453125,
			        27.3
			    ],
			    [
			        1741340909,
			        607.4453125,
			        36.7
			    ],
			    [
			        1741340909,
			        607.4453125,
			        37.4
			    ],
			    [
			        1741340909,
			        607.4453125,
			        36.1
			    ],
			    [
			        1741340909,
			        607.4453125,
			        42.9
			    ],
			    [
			        1741340913,
			        607.4453125,
			        38.9
			    ],
			    [
			        1741340913,
			        607.4453125,
			        36.1
			    ],
			    [
			        1741340913,
			        607.4453125,
			        40.9
			    ],
			    [
			        1741340913,
			        607.4453125,
			        48.8
			    ],
			    [
			        1741340916,
			        607.4453125,
			        40.5
			    ],
			    [
			        1741340916,
			        607.4453125,
			        39.6
			    ],
			    [
			        1741340917,
			        607.4453125,
			        41.1
			    ],
			    [
			        1741340917,
			        607.4453125,
			        50
			    ],
			    [
			        1741340921,
			        607.4453125,
			        41
			    ],
			    [
			        1741340921,
			        607.4453125,
			        29.4
			    ],
			    [
			        1741340921,
			        607.4453125,
			        41.4
			    ],
			    [
			        1741340921,
			        607.4453125,
			        31.2
			    ],
			    [
			        1741340925,
			        607.4453125,
			        41
			    ],
			    [
			        1741340925,
			        607.4453125,
			        44.4
			    ],
			    [
			        1741340925,
			        607.4453125,
			        41.3
			    ],
			    [
			        1741340925,
			        607.4453125,
			        32.3
			    ],
			    [
			        1741340929,
			        607.4453125,
			        40.9
			    ],
			    [
			        1741340929,
			        607.4453125,
			        43.1
			    ],
			    [
			        1741340929,
			        607.4453125,
			        39
			    ],
			    [
			        1741340929,
			        607.4453125,
			        48.8
			    ],
			    [
			        1741340933,
			        607.4453125,
			        40.8
			    ],
			    [
			        1741340933,
			        607.4453125,
			        40.4
			    ],
			    [
			        1741340933,
			        607.4453125,
			        41.3
			    ],
			    [
			        1741340933,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340938,
			        607.4453125,
			        40.8
			    ],
			    [
			        1741340938,
			        607.4453125,
			        47.8
			    ],
			    [
			        1741340938,
			        607.4453125,
			        41.4
			    ],
			    [
			        1741340938,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340942,
			        607.4453125,
			        41
			    ],
			    [
			        1741340942,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340942,
			        607.4453125,
			        41.7
			    ],
			    [
			        1741340942,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340945,
			        607.4453125,
			        41
			    ],
			    [
			        1741340945,
			        607.4453125,
			        35.1
			    ],
			    [
			        1741340946,
			        607.4453125,
			        41.6
			    ],
			    [
			        1741340946,
			        607.4453125,
			        48.8
			    ],
			    [
			        1741340949,
			        607.4453125,
			        39.4
			    ],
			    [
			        1741340949,
			        607.4453125,
			        27.3
			    ],
			    [
			        1741340949,
			        607.4453125,
			        40.1
			    ],
			    [
			        1741340949,
			        607.4453125,
			        31.3
			    ],
			    [
			        1741340953,
			        607.4453125,
			        39.1
			    ],
			    [
			        1741340953,
			        607.4453125,
			        47.7
			    ],
			    [
			        1741340953,
			        607.4453125,
			        39.1
			    ],
			    [
			        1741340953,
			        607.4453125,
			        48.8
			    ],
			    [
			        1741340956,
			        607.4453125,
			        40.8
			    ],
			    [
			        1741340956,
			        607.4453125,
			        41.6
			    ],
			    [
			        1741340956,
			        607.4453125,
			        41.5
			    ],
			    [
			        1741340956,
			        607.4453125,
			        35.3
			    ],
			    [
			        1741340960,
			        607.4453125,
			        41
			    ],
			    [
			        1741340960,
			        607.4453125,
			        48.9
			    ],
			    [
			        1741340960,
			        607.4453125,
			        41.2
			    ],
			    [
			        1741340960,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340964,
			        607.4453125,
			        40.5
			    ],
			    [
			        1741340964,
			        607.4453125,
			        45.7
			    ],
			    [
			        1741340964,
			        607.4453125,
			        42.2
			    ],
			    [
			        1741340964,
			        607.4453125,
			        31.3
			    ],
			    [
			        1741340968,
			        607.4453125,
			        40.9
			    ],
			    [
			        1741340968,
			        607.4453125,
			        45.5
			    ],
			    [
			        1741340968,
			        607.4453125,
			        41.4
			    ],
			    [
			        1741340968,
			        607.4453125,
			        31.3
			    ],
			    [
			        1741340972,
			        607.4453125,
			        40.3
			    ],
			    [
			        1741340972,
			        607.4453125,
			        44.4
			    ],
			    [
			        1741340972,
			        607.4453125,
			        41.1
			    ],
			    [
			        1741340972,
			        607.4453125,
			        33.3
			    ],
			    [
			        1741340975,
			        607.4453125,
			        40.9
			    ],
			    [
			        1741340975,
			        607.4453125,
			        30.3
			    ],
			    [
			        1741340975,
			        607.4453125,
			        41.4
			    ],
			    [
			        1741340975,
			        607.4453125,
			        43.9
			    ],
			    [
			        1741340979,
			        607.4453125,
			        40.8
			    ],
			    [
			        1741340979,
			        607.4453125,
			        32.4
			    ],
			    [
			        1741340979,
			        607.4453125,
			        41.4
			    ],
			    [
			        1741340979,
			        607.4453125,
			        47.7
			    ],
			    [
			        1741340983,
			        607.4453125,
			        40.5
			    ],
			    [
			        1741340983,
			        607.4453125,
			        46.7
			    ],
			    [
			        1741340983,
			        607.4453125,
			        41.4
			    ],
			    [
			        1741340983,
			        607.4453125,
			        34.4
			    ],
			    [
			        1741340987,
			        607.4453125,
			        40.9
			    ],
			    [
			        1741340987,
			        607.4453125,
			        31.4
			    ],
			    [
			        1741340987,
			        607.4453125,
			        42.2
			    ],
			    [
			        1741340987,
			        607.4453125,
			        47.6
			    ],
			    [
			        1741340990,
			        607.4453125,
			        40.8
			    ],
			    [
			        1741340990,
			        607.4453125,
			        46.7
			    ],
			    [
			        1741340990,
			        607.4453125,
			        41.4
			    ],
			    [
			        1741340990,
			        607.4453125,
			        29
			    ],
			    [
			        1741340994,
			        607.4453125,
			        40.8
			    ],
			    [
			        1741340994,
			        607.4453125,
			        47.7
			    ],
			    [
			        1741340994,
			        607.4453125,
			        40.8
			    ],
			    [
			        1741340994,
			        607.4453125,
			        31.3
			    ],
			    [
			        1741340998,
			        607.4453125,
			        40.3
			    ],
			    [
			        1741340998,
			        607.4453125,
			        45.7
			    ],
			    [
			        1741340998,
			        607.4453125,
			        40.4
			    ],
			    [
			        1741340998,
			        607.4453125,
			        45.7
			    ],
			    [
			        1741341001,
			        607.4453125,
			        41
			    ],
			    [
			        1741341001,
			        607.4453125,
			        47.7
			    ],
			    [
			        1741341001,
			        607.4453125,
			        40.4
			    ],
			    [
			        1741341001,
			        607.4453125,
			        48.9
			    ],
			    [
			        1741341005,
			        607.4453125,
			        40.6
			    ],
			    [
			        1741341005,
			        607.4453125,
			        30.3
			    ],
			    [
			        1741341005,
			        607.4453125,
			        42.5
			    ],
			    [
			        1741341005,
			        607.4453125,
			        32.3
			    ],
			    [
			        1741341010,
			        607.5625,
			        40.1
			    ],
			    [
			        1741341010,
			        607.5625,
			        46.7
			    ],
			    [
			        1741341010,
			        607.5625,
			        40.5
			    ],
			    [
			        1741341010,
			        607.5625,
			        31.3
			    ],
			    [
			        1741341013,
			        607.5625,
			        40
			    ],
			    [
			        1741341013,
			        607.5625,
			        46.7
			    ],
			    [
			        1741341013,
			        607.5625,
			        40.9
			    ],
			    [
			        1741341013,
			        607.5625,
			        32.3
			    ],
			    [
			        1741341016,
			        607.5625,
			        39.1
			    ],
			    [
			        1741341016,
			        607.5625,
			        43.2
			    ],
			    [
			        1741341016,
			        607.5625,
			        38.8
			    ],
			    [
			        1741341016,
			        607.5625,
			        29
			    ],
			    [
			        1741341020,
			        607.5625,
			        40.9
			    ],
			    [
			        1741341020,
			        607.5625,
			        31.4
			    ],
			    [
			        1741341020,
			        607.5625,
			        42.2
			    ],
			    [
			        1741341020,
			        607.5625,
			        36.4
			    ],
			    [
			        1741341023,
			        607.5625,
			        40.2
			    ],
			    [
			        1741341023,
			        607.5625,
			        39.5
			    ],
			    [
			        1741341023,
			        607.5625,
			        40.8
			    ],
			    [
			        1741341023,
			        607.5625,
			        50
			    ],
			    [
			        1741341027,
			        607.5703125,
			        41
			    ],
			    [
			        1741341027,
			        607.5703125,
			        28.6
			    ],
			    [
			        1741341027,
			        607.5703125,
			        43.3
			    ],
			    [
			        1741341027,
			        607.5703125,
			        33.3
			    ],
			    [
			        1741341030,
			        607.5703125,
			        40.2
			    ],
			    [
			        1741341030,
			        607.5703125,
			        45.7
			    ],
			    [
			        1741341030,
			        607.5703125,
			        39.1
			    ],
			    [
			        1741341030,
			        607.5703125,
			        45.5
			    ],
			    [
			        1741341540,
			        667.046875,
			        41.5
			    ],
			    [
			        1741341540,
			        667.046875,
			        48.9
			    ],
			    [
			        1741341540,
			        667.046875,
			        40.5
			    ],
			    [
			        1741341540,
			        667.046875,
			        50
			    ],
			    [
			        1741341967,
			        672.29296875,
			        41.3
			    ],
			    [
			        1741341967,
			        672.29296875,
			        36.1
			    ],
			    [
			        1741341967,
			        672.29296875,
			        42.1
			    ],
			    [
			        1741341967,
			        672.29296875,
			        31.2
			    ],
			    [
			        1741342713,
			        680.97265625,
			        41.5
			    ],
			    [
			        1741342713,
			        680.97265625,
			        47.8
			    ],
			    [
			        1741342713,
			        680.97265625,
			        42
			    ],
			    [
			        1741342713,
			        680.97265625,
			        36.4
			    ],
			    [
			        1741343613,
			        683.62109375,
			        41.5
			    ],
			    [
			        1741343613,
			        683.62109375,
			        42.9
			    ],
			    [
			        1741343613,
			        683.62109375,
			        40.6
			    ],
			    [
			        1741343613,
			        683.62109375,
			        30.3
			    ],
			    [
			        1741344520,
			        687.80859375,
			        41.3
			    ],
			    [
			        1741344520,
			        687.80859375,
			        39.6
			    ],
			    [
			        1741344520,
			        687.80859375,
			        41.5
			    ],
			    [
			        1741344520,
			        687.80859375,
			        30.3
			    ],
			    [
			        1741345380,
			        691.19921875,
			        41.2
			    ],
			    [
			        1741345380,
			        691.19921875,
			        44
			    ],
			    [
			        1741345380,
			        691.19921875,
			        41.5
			    ],
			    [
			        1741345380,
			        691.19921875,
			        44.4
			    ],
			    [
			        1741346345,
			        712.01171875,
			        41.3
			    ],
			    [
			        1741346345,
			        712.01171875,
			        44.7
			    ],
			    [
			        1741346345,
			        712.01171875,
			        40.6
			    ],
			    [
			        1741346345,
			        712.01171875,
			        50
			    ],
			    [
			        1741347535,
			        703.484375,
			        41.4
			    ],
			    [
			        1741347535,
			        703.484375,
			        38.7
			    ],
			    [
			        1741347535,
			        703.484375,
			        40.3
			    ],
			    [
			        1741347535,
			        703.484375,
			        48.8
			    ],
			    [
			        1741348975,
			        752.67578125,
			        41.3
			    ],
			    [
			        1741348975,
			        752.67578125,
			        40.4
			    ],
			    [
			        1741348975,
			        752.67578125,
			        41.2
			    ],
			    [
			        1741348975,
			        752.67578125,
			        46.5
			    ],
			    [
			        1741350924,
			        719.00390625,
			        41.2
			    ],
			    [
			        1741350924,
			        719.00390625,
			        46.7
			    ],
			    [
			        1741350924,
			        719.00390625,
			        40
			    ],
			    [
			        1741350924,
			        719.00390625,
			        48.8
			    ],
			    [
			        1741352516,
			        779.27734375,
			        41.4
			    ],
			    [
			        1741352516,
			        779.27734375,
			        40.7
			    ],
			    [
			        1741352654,
			        779.6015625,
			        41.1
			    ],
			    [
			        1741352654,
			        779.6015625,
			        32.4
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout) {
				layout["width"] = get_graph_width();
				layout["height"] = get_graph_height();
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function load_pareto_graph() {
				if($("#tab_pareto_fronts").data("loaded") == "true") {
					return;
				}
			
				var data = pareto_front_data;
			
				if (!data || typeof data !== "object") {
					console.error("Invalid data format for pareto_front_data");
					return;
				}
			
				if (!Object.keys(data).length) {
					console.warn("No data found in pareto_front_data");
					return;
				}
			
				let categories = Object.keys(data);
				let allMetrics = new Set();
			
				function extractMetrics(obj, prefix = "") {
					let keys = Object.keys(obj);
					for (let key of keys) {
						let newPrefix = prefix ? `${prefix} -> ${key}` : key;
						if (typeof obj[key] === "object" && !Array.isArray(obj[key])) {
							extractMetrics(obj[key], newPrefix);
						} else {
							if (!newPrefix.includes("param_dicts") && !newPrefix.includes(" -> sems -> ") && !newPrefix.includes("absolute_metrics")) {
								allMetrics.add(newPrefix);
							}
						}
					}
				}
			
				for (let cat of categories) {
					extractMetrics(data[cat]);
				}
			
				allMetrics = Array.from(allMetrics);
			
				function extractValues(obj, metricPath, values) {
					let parts = metricPath.split(" -> ");
					let data = obj;
					for (let part of parts) {
						if (data && typeof data === "object") {
							data = data[part];
						} else {
							return;
						}
					}
					if (Array.isArray(data)) {
						values.push(...data);
					}
				}
			
				let graphContainer = document.getElementById("pareto_front_graphs_container");
				graphContainer.classList.add("invert_in_dark_mode");
				graphContainer.innerHTML = "";
			
				var already_plotted = [];
			
				for (let i = 0; i < allMetrics.length; i++) {
					for (let j = i + 1; j < allMetrics.length; j++) {
						let xMetric = allMetrics[i];
						let yMetric = allMetrics[j];
			
						let xValues = [];
						let yValues = [];
			
						for (let cat of categories) {
							let metricData = data[cat];
							extractValues(metricData, xMetric, xValues);
							extractValues(metricData, yMetric, yValues);
						}
			
						xValues = xValues.filter(v => v !== undefined && v !== null);
						yValues = yValues.filter(v => v !== undefined && v !== null);
			
						let cleanXMetric = xMetric.replace(/.* -> /g, "");
						let cleanYMetric = yMetric.replace(/.* -> /g, "");
			
						let plot_key = `${cleanXMetric}-${cleanYMetric}`;
			
						if (xValues.length > 0 && yValues.length > 0 && xValues.length === yValues.length && !already_plotted.includes(plot_key)) {
							let div = document.createElement("div");
							div.id = `pareto_front_graph_${i}_${j}`;
							div.style.marginBottom = "20px";
							graphContainer.appendChild(div);
			
							let layout = {
								title: `${cleanXMetric} vs ${cleanYMetric}`,
								xaxis: {
									title: get_axis_title_data(cleanXMetric)
								},
								yaxis: {
									title: get_axis_title_data(cleanYMetric)
								},
								hovermode: "closest"
							};
			
							let trace = {
								x: xValues,
								y: yValues,
								mode: "markers",
								marker: {
									size: get_marker_size(),
								},
								type: "scatter",
								name: `${cleanXMetric} vs ${cleanYMetric}`
							};
			
							Plotly.newPlot(div.id, [trace], add_default_layout_data(layout));
			
							already_plotted.push(plot_key);
						}
					}
				}
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				$("#tab_pareto_fronts").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_method";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',  // Zeigt nur Ausreißer außerhalb der Whiskers
						jitter: 0.5,  // Erhöht die Streuung der Punkte für bessere Sichtbarkeit
						pointpos: 0   // Position der Punkte innerhalb der Box
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: "Generation Method"
					},
					boxmode: 'group'  // Gruppiert die Boxplots nach Generation Method
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_method"]').forEach(el => {
					let color = el.textContent.includes("Manual") ? "green" :
						el.textContent.includes("Sobol") ? "orange" :
						el.textContent.includes("SAASBO") ? "pink" :
						el.textContent.includes("Uniform") ? "lightblue" :
						el.textContent.includes("Legacy_GPEI") ? "Sienna" :
						el.textContent.includes("BO_MIXED") ? "Aqua" :
						el.textContent.includes("RANDOMFOREST") ? "DarkSeaGreen" :
						el.textContent.includes("EXTERNAL_GENERATOR") ? "Purple" :
						el.textContent.includes("BoTorch") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			

			$(document).ready(function() {
				load_pareto_graph();;
				colorize_table_entries();;
				plotWorkerUsage();;
				plotCPUAndRAMUsage();;
				createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
				plotScatter2d();;
				plotScatter3d();
				plotJobStatusDistribution();;
				plotBoxplot();;
				plotViolin();;
				plotHistogram();;
				plotHeatmap();;
				plotResultPairs();;
				plotResultEvolution();

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Best RUNTIME, min (total: 199):                                                       </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> generation_node</th><th>ACCURACY</th><th>recent_samples_size</th><th>n_samples</th><th>const</th><th>max_depth</th><th>threshold</th><th>RUNTIME            </th></tr></thead><tbody><tr><td> GenerationStep_1</td><td>0.8354849387619994</td><td>4000</td><td>120</td><td>0.9231833561729487</td><td>2</td><td>0.8</td><td>38.994250535964966 </td></tr></tbody></table><h2>Experiment parameters:                             </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>range</td><td>10</td><td>4000</td><td>int</td><td>No         </td></tr><tr><td> n_samples</td><td>range</td><td>100</td><td>1000</td><td>int</td><td>No         </td></tr><tr><td> const</td><td>range</td><td>0.1</td><td>1</td><td>float</td><td>No         </td></tr><tr><td> max_depth</td><td>range</td><td>2</td><td>4</td><td>int</td><td>No         </td></tr><tr><td> threshold</td><td>range</td><td>0.2</td><td>0.8</td><td>float</td><td>No         </td></tr></tbody></table><br><h2>Number of evaluations:</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>0</td>
			<td>199</td>
			<td>2</td>
			<td>201</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types:</h2>
			<br><table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table><br>
			
			<h1>&nbsp;Pareto-Fronts</h1>
			<div id='pareto_front_graphs_container'></div>
<pre>                                        Pareto Frontier Results for RUNTIME/ACCURACY:                                        
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ recent_samples_size ┃ n_samples ┃       const        ┃ max_depth ┃      threshold      ┃   ACCURACY    ┃     RUNTIME      ┃
┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│        3706         │    178    │        1.0         │     3     │         0.2         │ 0.844 &plusmn; 0.001 │ 640.932 &plusmn; 36.149 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2875         │    178    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 313.527 &plusmn; 14.893 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2810         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.306 &plusmn; 14.769 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2795         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.302 &plusmn; 14.765 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2901         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.327 &plusmn; 14.793 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3401         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.449 &plusmn; 14.967 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2186         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.165 &plusmn; 14.663 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3507         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.476 &plusmn; 15.012 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2527         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.240 &plusmn; 14.708 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         991         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 311.926 &plusmn; 14.762 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1166         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 311.958 &plusmn; 14.723 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3382         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.444 &plusmn; 14.959 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3796         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.550 &plusmn; 15.150 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3833         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.560 &plusmn; 15.169 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2353         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.201 &plusmn; 14.681 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2043         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.134 &plusmn; 14.654 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         700         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 311.874 &plusmn; 14.846 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1190         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 311.963 &plusmn; 14.718 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3547         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.486 &plusmn; 15.030 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2584         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.253 &plusmn; 14.718 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2210         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.170 &plusmn; 14.665 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2430         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.219 &plusmn; 14.692 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1545         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.032 &plusmn; 14.667 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2431         │    177    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 312.219 &plusmn; 14.692 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3908         │    176    │        1.0         │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 311.356 &plusmn; 15.107 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2329         │    176    │ 0.9950411465081688 │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 310.371 &plusmn; 14.504 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2549         │    176    │ 0.9658990347943414 │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 306.982 &plusmn; 14.172 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1082         │    176    │ 0.9388362386223668 │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 303.578 &plusmn; 13.914 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3827         │    176    │ 0.9149905623886695 │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 301.561 &plusmn; 14.110 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3921         │    176    │ 0.8927131713946498 │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 299.187 &plusmn; 13.971 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2033         │    176    │ 0.8728792661347055 │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 296.644 &plusmn; 13.235 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2649         │    176    │ 0.8536119866384766 │     2     │         0.2         │ 0.844 &plusmn; 0.001 │ 294.822 &plusmn; 13.173 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         394         │    989    │ 0.6115698579712511 │     2     │ 0.4878436451123365  │ 0.842 &plusmn; 0.001 │ 138.138 &plusmn; 8.067  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1894         │    176    │ 0.8188093383012858 │     2     │         0.2         │ 0.843 &plusmn; 0.001 │ 291.254 &plusmn; 12.873 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         857         │    176    │ 0.8044129985564769 │     2     │         0.2         │ 0.843 &plusmn; 0.001 │ 289.707 &plusmn; 12.967 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         388         │    176    │ 0.788693113518471  │     2     │         0.2         │ 0.843 &plusmn; 0.001 │ 288.197 &plusmn; 13.068 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         525         │    992    │ 0.6028971795169998 │     2     │ 0.4885766775271519  │ 0.842 &plusmn; 0.001 │ 137.226 &plusmn; 8.010  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2489         │    176    │ 0.771923892498424  │     2     │ 0.2047281956860707  │ 0.843 &plusmn; 0.001 │ 285.616 &plusmn; 12.481 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         782         │    176    │ 0.7508531604986967 │     2     │  0.205785588162709  │ 0.843 &plusmn; 0.001 │ 283.144 &plusmn; 12.495 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1002         │    175    │ 0.7396712101922637 │     2     │ 0.20844066116022805 │ 0.843 &plusmn; 0.001 │ 280.327 &plusmn; 12.200 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3889         │    175    │ 0.7220864156480155 │     2     │ 0.21354558365477644 │ 0.843 &plusmn; 0.001 │ 277.984 &plusmn; 12.425 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         567         │    992    │ 0.5966257603085391 │     2     │ 0.4872920174124985  │ 0.842 &plusmn; 0.001 │ 137.290 &plusmn; 7.992  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         46          │    993    │ 0.596969099936553  │     2     │ 0.48740747762777165 │ 0.842 &plusmn; 0.001 │ 136.130 &plusmn; 8.350  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         288         │    993    │ 0.5952322341041012 │     2     │ 0.48715337452703134 │ 0.842 &plusmn; 0.001 │ 136.492 &plusmn; 8.179  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         362         │    991    │ 0.6101667411105683 │     2     │ 0.48406139413776095 │ 0.842 &plusmn; 0.001 │ 137.330 &plusmn; 8.087  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         752         │    993    │ 0.5911829091386837 │     2     │ 0.4866261172603509  │ 0.842 &plusmn; 0.001 │ 137.200 &plusmn; 7.912  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         31          │    994    │ 0.5952331585924189 │     2     │ 0.4870146788108054  │ 0.842 &plusmn; 0.001 │ 135.735 &plusmn; 8.381  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         150         │    994    │ 0.5892073302148011 │     2     │ 0.4887840674284385  │ 0.842 &plusmn; 0.001 │ 135.920 &plusmn; 8.300  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         897         │    993    │ 0.5955447916926627 │     2     │ 0.48437580341730074 │ 0.842 &plusmn; 0.001 │ 137.415 &plusmn; 7.838  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         154         │    994    │ 0.5914854442512706 │     2     │ 0.48727813052550606 │ 0.842 &plusmn; 0.001 │ 135.921 &plusmn; 8.294  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         613         │    997    │ 0.577402484132848  │     2     │ 0.4847598437908015  │ 0.842 &plusmn; 0.001 │ 135.492 &plusmn; 8.105  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         519         │    994    │ 0.5913855522822052 │     2     │ 0.48518243815302253 │ 0.842 &plusmn; 0.001 │ 136.464 &plusmn; 8.054  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         342         │    995    │ 0.5848941896065746 │     2     │ 0.48707889027673895 │ 0.842 &plusmn; 0.001 │ 135.832 &plusmn; 8.195  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         217         │    995    │ 0.5862388895471341 │     2     │ 0.48704924078795914 │ 0.842 &plusmn; 0.001 │ 135.644 &plusmn; 8.278  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │    999    │ 0.5894268460891342 │     2     │ 0.48687280207860456 │ 0.842 &plusmn; 0.001 │ 133.867 &plusmn; 8.591  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │    997    │ 0.5835001175728058 │     2     │ 0.4861328298174147  │ 0.842 &plusmn; 0.001 │ 134.595 &plusmn; 8.496  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         353         │    996    │ 0.5798013827999305 │     2     │ 0.4870261341204427  │ 0.842 &plusmn; 0.001 │ 135.477 &plusmn; 8.222  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         39          │    995    │ 0.595435908728694  │     2     │ 0.4869311816566706  │ 0.842 &plusmn; 0.001 │ 135.376 &plusmn; 8.399  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         884         │    997    │ 0.570529165546852  │     2     │ 0.48608859316714736 │ 0.842 &plusmn; 0.001 │ 135.911 &plusmn; 7.977  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         501         │    997    │ 0.5731122411823154 │     2     │  0.487029777396165  │ 0.842 &plusmn; 0.001 │ 135.329 &plusmn; 8.172  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         118         │    997    │ 0.5763316175963424 │     2     │ 0.4875108197258144  │ 0.842 &plusmn; 0.001 │ 134.758 &plusmn; 8.421  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         249         │    998    │ 0.5666195694319581 │     2     │ 0.4866435671114861  │ 0.842 &plusmn; 0.001 │ 134.582 &plusmn; 8.376  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         170         │    998    │ 0.5700611615450379 │     2     │ 0.4879165434111901  │ 0.842 &plusmn; 0.001 │ 134.467 &plusmn; 8.431  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │    998    │ 0.5715064678765227 │     2     │ 0.4880648755644991  │ 0.842 &plusmn; 0.001 │ 134.232 &plusmn; 8.547  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │    998    │ 0.5717772175718588 │     2     │ 0.48786531595867316 │ 0.842 &plusmn; 0.001 │ 134.231 &plusmn; 8.547  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         103         │    999    │ 0.5689451454426581 │     2     │ 0.48765178878895526 │ 0.842 &plusmn; 0.001 │ 133.998 &plusmn; 8.530  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         89          │    999    │ 0.5657814092398229 │     2     │ 0.48787630442533064 │ 0.842 &plusmn; 0.001 │ 133.978 &plusmn; 8.540  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         115         │    999    │ 0.5651097309685114 │     2     │ 0.4881317457217155  │ 0.842 &plusmn; 0.001 │ 134.017 &plusmn; 8.522  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │    999    │ 0.5617891904544235 │     2     │ 0.48783216911033855 │ 0.842 &plusmn; 0.001 │ 133.864 &plusmn; 8.598  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │    997    │ 0.5909862602986541 │     2     │ 0.48913911018387274 │ 0.842 &plusmn; 0.001 │ 134.603 &plusmn; 8.497  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5599976644248807 │     2     │ 0.48883343015320524 │ 0.842 &plusmn; 0.001 │ 133.497 &plusmn; 8.658  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5601634250706341 │     2     │ 0.4886910866154446  │ 0.842 &plusmn; 0.001 │ 133.496 &plusmn; 8.658  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5603043032556646 │     2     │ 0.4885732406241143  │ 0.842 &plusmn; 0.001 │ 133.496 &plusmn; 8.658  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5604289296452591 │     2     │ 0.4884595440086995  │ 0.842 &plusmn; 0.001 │ 133.496 &plusmn; 8.657  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         92          │   1000    │ 0.5599391914258853 │     2     │ 0.4881761757217786  │ 0.842 &plusmn; 0.001 │ 133.615 &plusmn; 8.597  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5607564449007454 │     2     │ 0.4881939421164412  │ 0.842 &plusmn; 0.001 │ 133.495 &plusmn; 8.657  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         238         │   1000    │ 0.5591521057464988 │     2     │ 0.4875952681474991  │ 0.842 &plusmn; 0.001 │ 133.828 &plusmn; 8.495  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5610459378259044 │     2     │ 0.48794175714113425 │ 0.842 &plusmn; 0.001 │ 133.495 &plusmn; 8.657  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         344         │   1000    │ 0.5586231259307989 │     2     │ 0.4871160437072633  │ 0.842 &plusmn; 0.001 │ 133.984 &plusmn; 8.426  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         53          │   1000    │ 0.5610184927792893 │     2     │ 0.4875901206102624  │ 0.842 &plusmn; 0.001 │ 133.557 &plusmn; 8.625  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5614936009160394 │     2     │  0.48755256450809   │ 0.842 &plusmn; 0.001 │ 133.494 &plusmn; 8.656  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5616422630195825 │     2     │ 0.4874220659598833  │ 0.842 &plusmn; 0.001 │ 133.494 &plusmn; 8.656  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         84          │   1000    │ 0.5612068303061452 │     2     │ 0.48714047181931786 │ 0.842 &plusmn; 0.001 │ 133.601 &plusmn; 8.602  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         173         │   1000    │ 0.5606522177655093 │     2     │ 0.4868244795714193  │ 0.842 &plusmn; 0.001 │ 133.731 &plusmn; 8.538  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5620643922441562 │     2     │ 0.48703757522551383 │ 0.842 &plusmn; 0.001 │ 133.493 &plusmn; 8.656  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5622024606636471 │     2     │ 0.4869153150678996  │ 0.842 &plusmn; 0.001 │ 133.493 &plusmn; 8.656  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         53          │   1000    │ 0.5620397024852543 │     2     │ 0.4866750674826459  │ 0.842 &plusmn; 0.001 │ 133.555 &plusmn; 8.624  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         131         │   1000    │ 0.5615686544391636 │     2     │ 0.48637783520354494 │ 0.842 &plusmn; 0.001 │ 133.669 &plusmn; 8.567  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         246         │   1000    │ 0.5608115794483741 │     2     │ 0.4859875527211147  │ 0.842 &plusmn; 0.001 │ 133.837 &plusmn; 8.488  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5627955444329685 │     2     │ 0.48638045395262075 │ 0.842 &plusmn; 0.001 │ 133.492 &plusmn; 8.655  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5629227952171314 │     2     │ 0.4862565732655974  │ 0.842 &plusmn; 0.001 │ 133.492 &plusmn; 8.655  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5630654292803403 │     2     │ 0.4861265523291436  │ 0.842 &plusmn; 0.001 │ 133.492 &plusmn; 8.655  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5632001564894532 │     2     │ 0.48599537744037485 │ 0.842 &plusmn; 0.001 │ 133.492 &plusmn; 8.655  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         158         │   1000    │ 0.5622452022622829 │     2     │ 0.48549408840461505 │ 0.842 &plusmn; 0.001 │ 133.707 &plusmn; 8.547  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         137         │   1000    │ 0.5625377934103944 │     2     │  0.485415328896952  │ 0.842 &plusmn; 0.001 │ 133.676 &plusmn; 8.562  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         132         │   1000    │ 0.5627169346493973 │     2     │ 0.48529246082606786 │ 0.842 &plusmn; 0.001 │ 133.668 &plusmn; 8.565  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         152         │   1000    │ 0.5626798926313722 │     2     │ 0.4851257189842768  │ 0.842 &plusmn; 0.001 │ 133.697 &plusmn; 8.551  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         67          │   1000    │ 0.5634738183792127 │     2     │ 0.4851947498010436  │ 0.842 &plusmn; 0.001 │ 133.573 &plusmn; 8.611  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         396         │   1000    │ 0.5611285574077822 │     2     │ 0.48422793722713003 │ 0.842 &plusmn; 0.001 │ 134.056 &plusmn; 8.390  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         94          │   1000    │ 0.5635629263943399 │     2     │  0.484847973862704  │ 0.842 &plusmn; 0.001 │ 133.612 &plusmn; 8.592  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         408         │   1000    │ 0.5613247537467705 │     2     │ 0.48391151390705595 │ 0.842 &plusmn; 0.001 │ 134.073 &plusmn; 8.382  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5644825928632986 │     2     │ 0.4847861109939864  │ 0.842 &plusmn; 0.001 │ 133.490 &plusmn; 8.653  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5646194940659531 │     2     │ 0.4846528329525329  │ 0.842 &plusmn; 0.001 │ 133.489 &plusmn; 8.653  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         416         │   1000    │ 0.5616978114169137 │     2     │ 0.4834561505165154  │ 0.842 &plusmn; 0.001 │ 134.084 &plusmn; 8.377  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5648966399416889 │     2     │ 0.4843824162627755  │ 0.842 &plusmn; 0.001 │ 133.489 &plusmn; 8.652  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         44          │   1000    │ 0.5647627506953944 │     2     │ 0.48417015971500243 │ 0.842 &plusmn; 0.001 │ 133.538 &plusmn; 8.627  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5651961094187283 │     2     │ 0.48409065379808464 │ 0.842 &plusmn; 0.001 │ 133.489 &plusmn; 8.652  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5653312645461431 │     2     │ 0.48395866725464404 │ 0.842 &plusmn; 0.001 │ 133.488 &plusmn; 8.652  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1018         │   1000    │ 0.5578442595409561 │     2     │ 0.48108421712173216 │ 0.842 &plusmn; 0.001 │ 134.990 &plusmn; 8.081  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5656377171980993 │     2     │ 0.48365708999764934 │ 0.842 &plusmn; 0.001 │ 133.488 &plusmn; 8.651  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5657485784051254 │     2     │ 0.48354412734361285 │ 0.842 &plusmn; 0.001 │ 133.488 &plusmn; 8.651  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         168         │   1000    │ 0.5647236283106943 │     2     │ 0.48295639651055505 │ 0.842 &plusmn; 0.001 │ 133.717 &plusmn; 8.537  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5660349793192042 │     2     │ 0.48325882728792785 │ 0.842 &plusmn; 0.001 │ 133.487 &plusmn; 8.651  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         392         │   1000    │ 0.5633516576395708 │     2     │ 0.4820231273989797  │ 0.842 &plusmn; 0.001 │ 134.046 &plusmn; 8.390  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         274         │   1000    │ 0.5643571086900372 │     2     │ 0.48222434604103975 │ 0.842 &plusmn; 0.001 │ 133.872 &plusmn; 8.465  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5664612856410155 │     2     │ 0.4828300842997498  │ 0.842 &plusmn; 0.001 │ 133.487 &plusmn; 8.650  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         24          │   1000    │ 0.5665282984140435 │     2     │ 0.4826218545260926  │ 0.842 &plusmn; 0.001 │ 133.507 &plusmn; 8.640  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         44          │   1000    │ 0.5665053003499163 │     2     │ 0.4824343168631049  │ 0.842 &plusmn; 0.001 │ 133.536 &plusmn; 8.625  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5668947615650458 │     2     │ 0.48239044822499866 │ 0.842 &plusmn; 0.001 │ 133.486 &plusmn; 8.650  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         347         │   1000    │ 0.5645561945227883 │     2     │ 0.48124602601333777 │ 0.842 &plusmn; 0.001 │ 133.978 &plusmn; 8.416  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         61          │   1000    │ 0.5668149911674852 │     2     │ 0.4819398432017098  │ 0.842 &plusmn; 0.001 │ 133.560 &plusmn; 8.611  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         106         │   1000    │ 0.5666322197318594 │     2     │ 0.48165504923128405 │ 0.842 &plusmn; 0.001 │ 133.625 &plusmn; 8.579  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5674571955949353 │     2     │ 0.4818104075389169  │ 0.842 &plusmn; 0.001 │ 133.485 &plusmn; 8.649  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         136         │   1000    │ 0.5667181062973715 │     2     │ 0.4812482730836591  │ 0.842 &plusmn; 0.001 │ 133.668 &plusmn; 8.557  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         24          │   1000    │ 0.5676752276386641 │     2     │ 0.48144416374828847 │ 0.842 &plusmn; 0.001 │ 133.505 &plusmn; 8.638  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.567920910824313  │     2     │ 0.4813359201502961  │ 0.842 &plusmn; 0.001 │ 133.485 &plusmn; 8.648  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         44          │   1000    │ 0.5678432751511805 │     2     │ 0.4810593742708106  │ 0.842 &plusmn; 0.001 │ 133.534 &plusmn; 8.623  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         345         │   1000    │ 0.565816516061027  │     2     │ 0.4799473354229874  │ 0.842 &plusmn; 0.001 │ 133.974 &plusmn; 8.416  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         19          │   1000    │ 0.5682702385195892 │     2     │ 0.48084369714369113 │ 0.842 &plusmn; 0.001 │ 133.497 &plusmn; 8.641  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5685294027251708 │     2     │  0.480704882901274  │ 0.842 &plusmn; 0.001 │ 133.484 &plusmn; 8.647  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         44          │   1000    │ 0.5683762677039014 │     2     │ 0.4804917329129974  │ 0.842 &plusmn; 0.001 │ 133.533 &plusmn; 8.622  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         46          │   1000    │ 0.5685770392222657 │     2     │ 0.48026843627210536 │ 0.842 &plusmn; 0.001 │ 133.536 &plusmn; 8.620  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         139         │   1000    │ 0.5680913355714277 │     2     │ 0.47977770547365056 │ 0.842 &plusmn; 0.001 │ 133.670 &plusmn; 8.552  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5691748682699963 │     2     │ 0.48003143224548267 │ 0.842 &plusmn; 0.001 │ 133.483 &plusmn; 8.646  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         156         │   1000    │ 0.5682718456842535 │     2     │ 0.47939880547344593 │ 0.842 &plusmn; 0.001 │ 133.695 &plusmn; 8.540  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5694428680445215 │     2     │ 0.47974329543869204 │ 0.842 &plusmn; 0.001 │ 133.483 &plusmn; 8.646  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5696212343022765 │     2     │ 0.4795525955239909  │ 0.842 &plusmn; 0.001 │ 133.482 &plusmn; 8.645  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5697589898997547 │     2     │ 0.47940461511352106 │ 0.842 &plusmn; 0.001 │ 133.482 &plusmn; 8.645  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         423         │   1000    │ 0.5670524604990842 │     2     │ 0.4777645613829412  │ 0.842 &plusmn; 0.001 │ 134.086 &plusmn; 8.365  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         152         │   1000    │ 0.5690727011463717 │     2     │ 0.47858184575618934 │ 0.842 &plusmn; 0.001 │ 133.688 &plusmn; 8.542  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5702624929196524 │     2     │ 0.4788733592055581  │ 0.842 &plusmn; 0.001 │ 133.482 &plusmn; 8.644  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         427         │   1000    │ 0.567545639619241  │     2     │ 0.47718298050715185 │ 0.842 &plusmn; 0.001 │ 134.091 &plusmn; 8.361  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.570610680576908  │     2     │ 0.4785021820129727  │ 0.842 &plusmn; 0.001 │ 133.481 &plusmn; 8.644  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         192         │   1000    │ 0.5695138126775079 │     2     │ 0.47766862592336073 │ 0.842 &plusmn; 0.001 │ 133.746 &plusmn; 8.513  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         24          │   1000    │ 0.5708625312970046 │     2     │  0.478077820425797  │ 0.842 &plusmn; 0.001 │ 133.501 &plusmn; 8.633  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5710993421819197 │     2     │ 0.47797405428331297 │ 0.842 &plusmn; 0.001 │ 133.481 &plusmn; 8.643  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         25          │   1000    │ 0.5711858283378393 │     2     │ 0.4777163984131427  │ 0.842 &plusmn; 0.001 │ 133.502 &plusmn; 8.631  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         84          │   1000    │ 0.5709381228173568 │     2     │ 0.4773261270993507  │ 0.842 &plusmn; 0.001 │ 133.587 &plusmn; 8.588  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5716187416796311 │     2     │ 0.47741265378467945 │ 0.842 &plusmn; 0.001 │ 133.480 &plusmn; 8.642  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         81          │   1000    │ 0.5713285871116895 │     2     │ 0.47693653386664664 │ 0.842 &plusmn; 0.001 │ 133.583 &plusmn; 8.589  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         539         │   1000    │ 0.5683945157151971 │     2     │ 0.47496902762306253 │ 0.842 &plusmn; 0.001 │ 134.256 &plusmn; 8.293  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         255         │   1000    │ 0.5705208236424765 │     2     │ 0.4758623580824388  │ 0.842 &plusmn; 0.001 │ 133.836 &plusmn; 8.467  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5723053796827612 │     2     │ 0.4766618051028178  │ 0.842 &plusmn; 0.001 │ 133.479 &plusmn; 8.641  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         254         │   1000    │ 0.5709028976117928 │     2     │ 0.47545253508721047 │ 0.842 &plusmn; 0.001 │ 133.834 &plusmn; 8.467  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         263         │   1000    │ 0.5710390569876971 │     2     │ 0.4752181392093871  │ 0.842 &plusmn; 0.001 │ 133.847 &plusmn; 8.461  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         124         │   1000    │ 0.5721323383159741 │     2     │ 0.47556739315325663 │ 0.842 &plusmn; 0.001 │ 133.644 &plusmn; 8.556  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         351         │   1000    │ 0.5708317522558329 │     2     │ 0.4744237978858684  │ 0.842 &plusmn; 0.001 │ 133.976 &plusmn; 8.403  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5732556497964183 │     2     │ 0.47562042252639053 │ 0.842 &plusmn; 0.001 │ 133.478 &plusmn; 8.639  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         277         │   1000    │ 0.5717210554766147 │     2     │ 0.4742826488027758  │ 0.842 &plusmn; 0.001 │ 133.867 &plusmn; 8.450  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         113         │   1000    │ 0.5730080337551439 │     2     │ 0.4747292152775097  │ 0.842 &plusmn; 0.001 │ 133.627 &plusmn; 8.563  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │   1000    │ 0.5738408692422862 │     2     │ 0.47497520237099966 │ 0.842 &plusmn; 0.001 │ 133.478 &plusmn; 8.638  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         22          │   1000    │ 0.5739584932729642 │     2     │ 0.47470762972322234 │ 0.842 &plusmn; 0.001 │ 133.495 &plusmn; 8.628  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         250         │   1000    │ 0.5727159988149733 │     2     │ 0.4734827262082111  │ 0.842 &plusmn; 0.001 │ 133.826 &plusmn; 8.467  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2478         │    145    │ 0.6288780121225093 │     2     │         0.8         │ 0.837 &plusmn; 0.001 │  73.834 &plusmn; 6.053  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3305         │    144    │ 0.6302992196945869 │     2     │         0.8         │ 0.837 &plusmn; 0.001 │  73.548 &plusmn; 6.514  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1371         │    144    │ 0.6332211234926614 │     2     │         0.8         │ 0.837 &plusmn; 0.001 │  72.873 &plusmn; 5.993  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        3421         │    143    │ 0.6346702394634174 │     2     │         0.8         │ 0.837 &plusmn; 0.001 │  72.978 &plusmn; 6.589  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2516         │    100    │ 0.7482731580507966 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  44.103 &plusmn; 9.248  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2023         │    100    │ 0.7488504544938495 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.883 &plusmn; 9.224  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2678         │    100    │  0.74906409420303  │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  44.178 &plusmn; 9.276  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1872         │    100    │ 0.7497453147069172 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.819 &plusmn; 9.236  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2919         │    100    │ 0.7498324543785212 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  44.296 &plusmn; 9.337  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1730         │    100    │ 0.7506204197322872 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.761 &plusmn; 9.255  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1209         │    100    │ 0.7512016772972009 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.579 &plusmn; 9.398  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2032         │    100    │ 0.7513536857200801 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.878 &plusmn; 9.220  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         612         │    100    │ 0.7522174213513396 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.409 &plusmn; 9.690  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         728         │    100    │ 0.7525878751207381 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.437 &plusmn; 9.622  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         700         │    100    │ 0.7530023109556554 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.429 &plusmn; 9.638  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         193         │    100    │ 0.7535736885833898 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.314 &plusmn; 9.969  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1050         │    100    │ 0.7537054081193658 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.524 &plusmn; 9.461  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1809         │    100    │ 0.7538707382289971 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.783 &plusmn; 9.239  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         130         │    100    │ 0.7548021940630586 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │ 43.299 &plusmn; 10.016  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1277         │    100    │ 0.7548433518342729 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.592 &plusmn; 9.370  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        2140         │    100    │ 0.754977638711739  │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.915 &plusmn; 9.214  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         125         │    100    │ 0.7560008590714677 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │ 43.295 &plusmn; 10.019  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         10          │    100    │ 0.756438371470718  │     2     │         0.8         │ 0.834 &plusmn; 0.001 │ 43.274 &plusmn; 10.108  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         503         │    100    │ 0.7566771238733794 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.373 &plusmn; 9.754  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         46          │    100    │ 0.7572134912223064 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │ 43.279 &plusmn; 10.079  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         592         │    100    │ 0.7574407760863835 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.393 &plusmn; 9.698  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         234         │    100    │ 0.7579387342553936 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.314 &plusmn; 9.937  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         57          │    100    │ 0.7583867420725098 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │ 43.280 &plusmn; 10.070  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         177         │    100    │ 0.7587444130889945 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.302 &plusmn; 9.979  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│        1161         │    100    │ 0.7588376543705866 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.549 &plusmn; 9.411  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         66          │    100    │ 0.7595613800056772 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │ 43.280 &plusmn; 10.063  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         770         │    100    │ 0.7597392877983706 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.436 &plusmn; 9.595  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         576         │    100    │ 0.7601873556789617 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.387 &plusmn; 9.707  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         330         │    100    │ 0.7606498845838972 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.331 &plusmn; 9.868  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         61          │    100    │ 0.7611196736518424 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │ 43.279 &plusmn; 10.067  │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│         903         │    100    │ 0.7612574689880655 │     2     │         0.8         │ 0.834 &plusmn; 0.001 │  43.472 &plusmn; 9.526  │
└─────────────────────┴───────────┴────────────────────┴───────────┴─────────────────────┴───────────────┴──────────────────┘
</pre>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,n_samples,const,max_depth,threshold
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,616.166078805923461914062500000000,2696,927,0.509098726511001631322983485006,4,0.349907338619232177734375000000
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,431.640611648559570312500000000000,923,523,0.983157448191195770803574305319,3,0.599901591613888784948471766256
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,366.740917444229125976562500000000,1720,688,0.232988941203802840673731111565,3,0.734098481573164596269975845644
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.840119165839126158523697540659,229.579541921615600585937500000000,3929,283,0.700235285330563783645629882812,2,0.477841951698064870690529915009
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,208.529444694519042968750000000000,3184,639,0.848671484831720612795891156566,2,0.350626600347459349560352848130
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.836809003641178383858800771122,606.162961244583129882812500000000,1464,135,0.422072858270257755819443445944,4,0.699644288048148266234704806266
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,171.518337726593017578125000000000,172,849,0.569264088664203860012946734059,2,0.566360709257423877716064453125
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,944.072245597839355468750000000000,2453,347,0.135417047049850247653068890941,4,0.221627616882324240954460492503
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,678.451428413391113281250000000000,2038,723,0.624078165553510144647475499369,4,0.638501181639731019146211110638
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.840450182058920858274575493851,240.151963949203491210937500000000,333,220,0.193082315474748633654655805003,2,0.308856713026762041973682926255
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,455.767675399780273437500000000000,1068,991,0.791210505180060863494873046875,4,0.441517805866897150579575281881
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,467.465579271316528320312500000000,3334,487,0.367027023434638999255241742503,3,0.768122651055455296642549001263
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,339.250683069229125976562500000000,3591,787,0.288896403834223769457878461253,3,0.660927593894302889410141688131
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,909.821961402893066406250000000000,1803,381,0.756807168014347553253173828125,4,0.391634687781333923339843750000
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,222.842940807342529296875000000000,574,603,0.452295095100998856274543413747,2,0.257987186871469043047966351878
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,557.192268610000610351562500000000,2799,199,0.927454274334013506475571375631,3,0.532443594560027211315400563763
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,233.261864185333251953125000000000,2901,564,0.172369556501507759094238281250,2,0.486919049359858080450180750631
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.841774246938099990344994694169,810.443008422851562500000000000000,747,158,0.648409358598291851727424273122,4,0.760167620331049009863022547506
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,176.531078100204467773437500000000,1888,830,0.342957010492682456970214843750,2,0.590226255171001024102395149384
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,491.429985284805297851562500000000,3730,427,0.811744964309036753924431195628,3,0.319724336639046702313038395005
20,20_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,184.944664239883422851562500000000,3306,945,0.699491312871473480683448542550,2,0.794471654444348973633793775662
21,21_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,143.825956106185913085937500000000,1995,959,0.964510843291696562395998171269,2,0.800000000000000044408920985006
22,22_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,210.240295886993408203125000000000,1347,650,0.382190134340739173790524318974,2,0.800000000000000044408920985006
23,23_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,187.018615007400512695312500000000,3520,762,0.469514340663957363553038248938,2,0.800000000000000044408920985006
24,24_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,249.415039539337158203125000000000,2857,424,0.944365450852622911881439904391,2,0.200000000000000011102230246252
25,25_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,167.932893991470336914062500000000,10,876,1.000000000000000000000000000000,2,0.200000000000000011102230246252
26,26_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,217.820770502090454101562500000000,2802,628,0.326236188222456979790564446375,2,0.200000000000000011102230246252
27,27_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,138.542926788330078125000000000000,134,1000,0.147609214820728251726933422106,2,0.491708404666924725479049129717
28,28_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,138.682995796203613281250000000000,3999,1000,0.832120126884917765686111579271,2,0.200000000000000011102230246252
29,29_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,136.274461507797241210937500000000,3627,1000,1.000000000000000000000000000000,2,0.200000000000000011102230246252
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,323.063169479370117187500000000000,10,357,0.892069639576620332377387967426,2,0.800000000000000044408920985006
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,132.263070821762084960937500000000,169,1000,0.429117673232012108996968891006,2,0.800000000000000044408920985006
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,132.176342487335205078125000000000,1403,1000,0.841623239559790903285829699598,2,0.800000000000000044408920985006
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,170.910735607147216796875000000000,58,836,0.828510952629792241097561600327,2,0.800000000000000044408920985006
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,181.939672708511352539062500000000,4000,790,1.000000000000000000000000000000,2,0.800000000000000044408920985006
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,133.798223257064819335937500000000,2889,1000,0.562718899999552601975949528423,2,0.200000000000000011102230246252
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,236.399521350860595703125000000000,10,1000,0.873506570798673886990570736089,3,0.800000000000000044408920985006
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,133.032453298568725585937500000000,3627,1000,0.210141416588053159264504188286,2,0.200000000000000011102230246252
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,242.741508483886718750000000000000,888,1000,0.546081861257398881726032868755,3,0.800000000000000044408920985006
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,153.872884511947631835937500000000,3737,914,0.100000000000000005551115123126,2,0.200000000000000011102230246252
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,134.967025995254516601562500000000,1653,1000,0.281357909944291939563498772259,2,0.800000000000000044408920985006
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,132.333451271057128906250000000000,10,1000,0.566518036542927427845484089630,2,0.200000000000000011102230246252
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,236.732077121734619140625000000000,10,1000,0.100000000000000005551115123126,3,0.800000000000000044408920985006
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,169.049773454666137695312500000000,10,1000,0.100000000000000005551115123126,2,0.200000000000000011102230246252
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.830188679245283056573612157081,149.054650306701660156250000000000,4000,100,1.000000000000000000000000000000,2,0.200000000000000011102230246252
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.831843760344256888394909310591,146.966568708419799804687500000000,3795,100,0.920258488119092610268978660315,2,0.200000000000000011102230246252
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,229.369854688644409179687500000000,10,1000,1.000000000000000000000000000000,3,0.200000000000000011102230246252
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.826547500827540582157837434352,165.416515588760375976562500000000,3491,100,0.441201786259250106070339825237,2,0.200000000000000011102230246252
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.828202581926514413979134587862,146.929646492004394531250000000000,1759,100,0.826619028228966268301292075193,2,0.200000000000000011102230246252
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,161.198906660079956054687500000000,356,901,0.194206712214750387701656109130,2,0.800000000000000044408920985006
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,196.984468221664428710937500000000,1887,917,0.429773743936390839603944868941,2,0.200000000000000011102230246252
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,237.412576198577880859375000000000,10,478,1.000000000000000000000000000000,2,0.200000000000000011102230246252
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.836809003641178383858800771122,195.296872854232788085937500000000,534,100,0.100000000000000005551115123126,2,0.200000000000000011102230246252
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,267.215632915496826171875000000000,3073,286,0.100000000000000005551115123126,2,0.200000000000000011102230246252
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.834491890102615041513445248711,109.888568878173828125000000000000,1188,197,1.000000000000000000000000000000,2,0.800000000000000044408920985006
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.835153922542204552037503617612,98.969660997390747070312500000000,1870,220,0.100000000000000005551115123126,2,0.800000000000000044408920985006
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,315.329781532287597656250000000000,4000,402,0.100000000000000005551115123126,2,0.800000000000000044408920985006
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.834491890102615041513445248711,124.632200002670288085937500000000,4000,189,1.000000000000000000000000000000,2,0.800000000000000044408920985006
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,266.697692155838012695312500000000,344,321,0.100000000000000005551115123126,2,0.200000000000000011102230246252
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.832505792783846398918967679492,200.015379667282104492187500000000,10,100,0.100000000000000005551115123126,3,0.800000000000000044408920985006
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,795.432583808898925781250000000000,4000,537,0.100000000000000005551115123126,4,0.200000000000000011102230246252
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,254.387744903564453125000000000000,10,382,0.100000000000000005551115123126,2,0.200000000000000011102230246252
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.837471036080768005405161602539,99.610804080963134765625000000000,10,118,0.100000000000000005551115123126,2,0.800000000000000044408920985006
63,63_0,RUNNING,BoTorch,GenerationStep_1,,,4000,1000,1.000000000000000000000000000000,3,0.200000000000000011102230246252
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,297.106308937072753906250000000000,4000,477,0.100000000000000005551115123126,2,0.200000000000000011102230246252
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,1021.559963464736938476562500000000,3366,158,1.000000000000000000000000000000,4,0.200000000000000011102230246252
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,191.238418579101562500000000000000,10,726,1.000000000000000000000000000000,2,0.200000000000000011102230246252
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,186.553560256958007812500000000000,10,765,0.100000000000000005551115123126,2,0.200000000000000011102230246252
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,138.361613988876342773437500000000,4000,1000,0.100000000000000005551115123126,2,0.800000000000000044408920985006
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,133.467375516891479492187500000000,4000,1000,1.000000000000000000000000000000,2,0.585240213027175992799300274783
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,306.912943840026855468750000000000,4000,1000,0.100000000000000005551115123126,3,0.200000000000000011102230246252
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,131.028857469558715820312500000000,10,1000,1.000000000000000000000000000000,2,0.552074499905360283058541881474
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,160.862816572189331054687500000000,4000,865,1.000000000000000000000000000000,2,0.200000000000000011102230246252
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,186.984586954116821289062500000000,2309,758,1.000000000000000000000000000000,2,0.200000000000000011102230246252
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,193.860108852386474609375000000000,4000,727,0.100000000000000005551115123126,2,0.200000000000000011102230246252
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,208.421642541885375976562500000000,10,623,1.000000000000000000000000000000,2,0.800000000000000044408920985006
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,167.964276313781738281250000000000,4000,1000,1.000000000000000000000000000000,2,0.800000000000000044408920985006
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.838464084740152215680097924633,127.770918369293212890625000000000,10,183,0.100000000000000005551115123126,2,0.800000000000000044408920985006
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,236.289607524871826171875000000000,4000,1000,1.000000000000000000000000000000,3,0.800000000000000044408920985006
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,316.464402675628662109375000000000,473,391,0.497419440795793976750616138816,2,0.200000000000000011102230246252
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,187.148606061935424804687500000000,3467,752,0.617180527284668767329378624709,2,0.200000000000000011102230246252
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,168.417243480682373046875000000000,4000,833,0.100000000000000005551115123126,2,0.800000000000000044408920985006
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,133.658554315567016601562500000000,10,1000,1.000000000000000000000000000000,2,0.200000000000000011102230246252
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,209.904803991317749023437500000000,10,649,0.100000000000000005551115123126,2,0.800000000000000044408920985006
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,205.588253021240234375000000000000,4000,661,1.000000000000000000000000000000,2,0.800000000000000044408920985006
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.841443230718305179571814278461,163.791810512542724609375000000000,10,155,0.100000000000000005551115123126,2,0.800000000000000044408920985006
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,275.834350347518920898437500000000,10,892,1.000000000000000000000000000000,3,0.800000000000000044408920985006
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,212.472605943679809570312500000000,1250,603,1.000000000000000000000000000000,2,0.200000000000000011102230246252
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,365.721128225326538085937500000000,3994,889,1.000000000000000000000000000000,3,0.800000000000000044408920985006
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.839126117179741837226458756049,207.298589468002319335937500000000,4000,100,0.100000000000000005551115123126,3,0.800000000000000044408920985006
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.841112214498510479820936325268,55.652477979660034179687500000000,10,150,0.838442400931734832525421552418,2,0.800000000000000044408920985006
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,239.052045106887817382812500000000,2785,1000,1.000000000000000000000000000000,3,0.800000000000000044408920985006
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,229.447600603103637695312500000000,2327,1000,1.000000000000000000000000000000,3,0.200000000000000011102230246252
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.836477987421383684107922817930,102.075018882751464843750000000000,10,179,0.816544291656704501747299218550,2,0.800000000000000044408920985006
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,188.106752395629882812500000000000,1025,748,0.100000000000000005551115123126,2,0.800000000000000044408920985006
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,165.063868761062622070312500000000,829,1000,1.000000000000000000000000000000,2,0.200000000000000011102230246252
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,270.140040874481201171875000000000,1570,914,1.000000000000000000000000000000,3,0.200000000000000011102230246252
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,134.866581439971923828125000000000,10,1000,0.100000000000000005551115123126,2,0.800000000000000044408920985006
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,134.649037837982177734375000000000,1004,1000,0.100000000000000005551115123126,2,0.200000000000000011102230246252
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,133.994426488876342773437500000000,2604,1000,0.100000000000000005551115123126,2,0.800000000000000044408920985006
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,342.847709655761718750000000000000,2099,930,0.100000000000000005551115123126,3,0.800000000000000044408920985006
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,200.999290227890014648437500000000,2559,709,0.100000000000000005551115123126,2,0.800000000000000044408920985006
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,152.956490039825439453125000000000,971,915,1.000000000000000000000000000000,2,0.800000000000000044408920985006
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,173.240583658218383789062500000000,2854,822,0.100000000000000005551115123126,2,0.800000000000000044408920985006
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,260.502566099166870117187500000000,3195,354,0.100000000000000005551115123126,2,0.800000000000000044408920985006
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,194.769163370132446289062500000000,1075,724,1.000000000000000000000000000000,2,0.200000000000000011102230246252
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,364.682237148284912109375000000000,10,687,1.000000000000000000000000000000,3,0.200000000000000011102230246252
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,309.022193908691406250000000000000,2006,179,1.000000000000000000000000000000,2,0.360870335485590498780794632694
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.844422376696458143463530632289,225.008490800857543945312500000000,1778,167,1.000000000000000000000000000000,2,0.462364298641747162310622343284
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,138.567063570022583007812500000000,349,962,1.000000000000000000000000000000,2,0.316247899681392163895310432054
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.844422376696458143463530632289,156.059002399444580078125000000000,1943,167,0.702323342533473837789870231063,2,0.506899663121260557474556662783
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.838133068520357515929219971440,132.658718347549438476562500000000,770,155,0.833427170325478194889967653580,2,0.568287338079265458290478818526
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.847732538894405807106124939310,187.797307729721069335937500000000,1038,165,1.000000000000000000000000000000,2,0.408051019323488861623161483294
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.841443230718305179571814278461,256.381057739257812500000000000000,594,161,1.000000000000000000000000000000,2,0.327670073759688318393301642573
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.844091360476663332690350216581,276.190975427627563476562500000000,654,156,1.000000000000000000000000000000,2,0.491127576591086634216765105521
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.838133068520357515929219971440,130.249778032302856445312500000000,16,152,0.610296843881994233171894848056,2,0.496117162925796384431720298380
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.835484938761999362810684033320,38.994250535964965820312500000000,4000,120,0.923183356172948665907540544140,2,0.800000000000000044408920985006
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.835153922542204552037503617612,96.763580799102783203125000000000,2682,100,0.896303775618304432448724128335,2,0.419244717280443601747919046829
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.835484938761999362810684033320,103.398459434509277343750000000000,1996,100,0.831322989483591290316155664186,2,0.454672452683893946190352153280
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.832836809003641209692148095201,74.801589488983154296875000000000,1168,100,0.842358359517073274069787203189,2,0.719720823508347318231415101764
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.831843760344256888394909310591,83.127135753631591796875000000000,723,109,0.741008889045849272747545910534,2,0.411593767782227504259395800545
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.841112214498510479820936325268,77.526690721511840820312500000000,732,139,0.615131886520760451375622324122,2,0.800000000000000044408920985006
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.845415425355842464760769416898,184.504333734512329101562500000000,1183,170,0.446306175282399297810087546168,2,0.441791564393908653407549991243
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.836809003641178383858800771122,57.723557949066162109375000000000,2713,146,0.483776898111648478995050481899,2,0.800000000000000044408920985006
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,144.863819599151611328125000000000,1188,970,0.356210907481178951083933270638,2,0.622803110585797514708872313349
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.847070506454816296582066570409,241.028723955154418945312500000000,3198,167,0.745378635221925933684872234153,2,0.456631638046552990051196729837
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,136.811860561370849609375000000000,3340,1000,0.484721120440324171330104263689,2,0.387788572286934807298308669488
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.837471036080768005405161602539,44.095697879791259765625000000000,4000,100,0.729459510512346143151773958380,2,0.800000000000000044408920985006
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,131.946304798126220703125000000000,10,1000,0.680276392596510848242985503020,2,0.345214907040894303236200357787
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,135.786478996276855468750000000000,1996,1000,0.100000000000000005551115123126,2,0.663783936041234312597225653008
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,184.419898748397827148437500000000,2992,961,0.892416464085472593836811938672,2,0.494042605240147980616427503264
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.839457133399536536977336709242,156.662513971328735351562500000000,3167,154,0.511581023784172472801401454490,2,0.472314607839981026593534352287
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,155.122996091842651367187500000000,3197,923,0.100000000000000005551115123126,2,0.609744784777627280014655752893
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,149.223205566406250000000000000000,383,916,1.000000000000000000000000000000,2,0.504416033409688879807220018847
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.833167825223435909443026048393,74.901521921157836914062500000000,392,145,0.620507146285144139952194564103,2,0.800000000000000044408920985006
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.834160873882820230740264833003,82.194615840911865234375000000000,3867,100,0.745875654633663232040419188706,2,0.578592856777035313697865603899
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.839788149619331347750517124950,264.042547225952148437500000000000,2026,179,0.268574909842799636194854429050,2,0.292032637988106136273103174972
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.834160873882820230740264833003,106.834100246429443359375000000000,3511,160,0.558121380326663141246967825282,2,0.718624567670353653348058742267
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,175.932846784591674804687500000000,926,814,1.000000000000000000000000000000,2,0.200000000000000011102230246252
139,139_0,RUNNING,BoTorch,GenerationStep_1,,,1570,176,0.318910980838960744776500177977,2,0.370690692810238253684929077281
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.824230387288977128790179449425,95.494741916656494140625000000000,450,156,0.586607862133086799261150190432,2,0.763457593039890580755013615999
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.840781198278715669047755909560,312.713008403778076171875000000000,256,183,0.293271909153126841829362092540,2,0.249253994576894483126139334672
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,178.272966384887695312500000000000,219,789,1.000000000000000000000000000000,2,0.422104032690184149956280634797
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,170.803062438964843750000000000000,3413,844,0.100000000000000005551115123126,2,0.367654949098424277398322601584
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,165.103368282318115234375000000000,477,840,1.000000000000000000000000000000,2,0.390133265770653825388336599644
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,195.503113508224487304687500000000,45,712,0.617465671864756870945711852983,2,0.571588639700196465831538716884
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.834491890102615041513445248711,49.953395128250122070312500000000,10,100,0.898571448105530912187077774433,2,0.800000000000000044408920985006
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.839788149619331347750517124950,171.933302164077758789062500000000,3955,121,0.702641322613039243094590347027,2,0.502644110291698087422673779656
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,188.618708133697509765625000000000,3618,745,0.100000000000000005551115123126,2,0.375749945301663335062158921573
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,205.992843389511108398437500000000,1050,641,0.661595507132126559035611990112,2,0.595940023750374914257577074750
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,189.156695604324340820312500000000,610,925,1.000000000000000000000000000000,2,0.675616431472703893312825584871
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,222.145539999008178710937500000000,1037,569,1.000000000000000000000000000000,2,0.800000000000000044408920985006
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,190.818322420120239257812500000000,28,731,0.883688113067469083183880229626,2,0.362447694287383770372912294988
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.835815954981794062561561986513,156.658181190490722656250000000000,695,197,0.344308190072410036375316622070,2,0.474316121973912152576247081015
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.838133068520357515929219971440,100.397716283798217773437500000000,244,114,0.767543808710501651582092108583,2,0.507706294403163282957791579975
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.835484938761999362810684033320,162.330760717391967773437500000000,3642,193,0.344326123165647202117867209381,2,0.483339823928370049266334262938
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,175.748561620712280273437500000000,3908,1000,0.566296926453211391105924121803,2,0.679525449987875340696064085932
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,228.377138614654541015625000000000,3162,538,1.000000000000000000000000000000,2,0.345846264360135602355938999608
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,186.983885765075683593750000000000,160,771,0.100000000000000005551115123126,2,0.574589021283485879010299868241
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,208.606648445129394531250000000000,522,888,0.100000000000000005551115123126,2,0.455702421840101679073598006653
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.834491890102615041513445248711,77.830029726028442382812500000000,3447,147,0.641693255509909743494745271164,2,0.656552750386579231367534248420
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,202.232823133468627929687500000000,4000,674,1.000000000000000000000000000000,2,0.200000000000000011102230246252
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.829195630585898735276373372471,53.510648250579833984375000000000,360,121,0.702994892464708365231729203515,2,0.800000000000000044408920985006
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.847070506454816296582066570409,266.030497550964355468750000000000,3110,184,1.000000000000000000000000000000,2,0.421165023888223410963860260381
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,175.623472929000854492187500000000,3563,825,0.100000000000000005551115123126,2,0.200000000000000011102230246252
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.827540549486924903455076218961,113.443686962127685546875000000000,1813,104,1.000000000000000000000000000000,2,0.547366422134176744407341175247
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,224.208925962448120117187500000000,2117,552,1.000000000000000000000000000000,2,0.621178814567443837724169952708
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,234.531556367874145507812500000000,441,768,1.000000000000000000000000000000,2,0.636241956423848065149684316566
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,222.814209699630737304687500000000,3473,587,0.100000000000000005551115123126,2,0.800000000000000044408920985006
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,146.895390510559082031250000000000,871,951,0.100000000000000005551115123126,2,0.200000000000000011102230246252
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,216.686858892440795898437500000000,3955,862,1.000000000000000000000000000000,2,0.541685286352206585291924056946
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,139.447112321853637695312500000000,70,963,1.000000000000000000000000000000,2,0.200000000000000011102230246252
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.846077457795431975284827785799,123.662183046340942382812500000000,2510,157,0.623366053624746063732686707226,2,0.647997092712512490209064708324
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,267.111365079879760742187500000000,10,677,0.100000000000000005551115123126,2,0.200000000000000011102230246252
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,145.295943975448608398437500000000,4000,941,1.000000000000000000000000000000,2,0.200000000000000011102230246252
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.835815954981794062561561986513,96.428440809249877929687500000000,2589,153,0.619624678335616518864981117076,2,0.743584545369211036280887583416
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,264.389671325683593750000000000000,1128,317,0.100000000000000005551115123126,2,0.800000000000000044408920985006
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,186.947679996490478515625000000000,2491,965,0.100000000000000005551115123126,2,0.800000000000000044408920985006
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,221.027486562728881835937500000000,1095,603,1.000000000000000000000000000000,2,0.501290629768307294256146633415
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,183.183276653289794921875000000000,4000,799,0.100000000000000005551115123126,2,0.314294697920940335755801697815
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,311.391870498657226562500000000000,3245,466,1.000000000000000000000000000000,2,0.520898725204308021830001962371
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,163.001914024353027343750000000000,10,860,1.000000000000000000000000000000,2,0.800000000000000044408920985006
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,166.563094377517700195312500000000,195,854,0.100000000000000005551115123126,2,0.200000000000000011102230246252
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.840781198278715669047755909560,130.419532299041748046875000000000,3682,152,0.612843174649084221350392454042,2,0.777102551363614835189252971759
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.836477987421383684107922817930,78.712328910827636718750000000000,3304,131,0.650763236773471476226404774934,2,0.800000000000000044408920985006
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,335.166375160217285156250000000000,3234,332,0.100000000000000005551115123126,2,0.491916457103614035428762463198
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,220.409775495529174804687500000000,103,570,1.000000000000000000000000000000,2,0.200000000000000011102230246252
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,177.932709455490112304687500000000,10,798,0.100000000000000005551115123126,2,0.800000000000000044408920985006
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,232.225117921829223632812500000000,3199,523,0.346092876696141360515213136750,2,0.729581732810118177567915154214
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,294.710930347442626953125000000000,10,523,1.000000000000000000000000000000,2,0.200000000000000011102230246252
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,203.057691097259521484375000000000,4000,679,0.114672828260211703832460727881,2,0.621944837200892886031056150387
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.832174776564051588145787263784,54.358834266662597656250000000000,3573,112,0.729594646229852261676285252179,2,0.800000000000000044408920985006
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,258.678190231323242187500000000000,4000,709,1.000000000000000000000000000000,2,0.800000000000000044408920985006
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,162.766119480133056640625000000000,2256,882,0.100000000000000005551115123126,2,0.800000000000000044408920985006
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,218.385930299758911132812500000000,3146,617,0.338469340429256193569784727515,2,0.800000000000000044408920985006
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,212.765672206878662109375000000000,1020,886,0.100000000000000005551115123126,2,0.200000000000000011102230246252
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,213.972712278366088867187500000000,2708,638,1.000000000000000000000000000000,2,0.200000000000000011102230246252
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,187.156854391098022460937500000000,3495,970,0.100000000000000005551115123126,2,0.200000000000000011102230246252
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,152.944262742996215820312500000000,3933,913,1.000000000000000000000000000000,2,0.645891877937360137096334256057
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,230.375031709671020507812500000000,1399,795,0.100000000000000005551115123126,2,0.200000000000000011102230246252
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.841774246938099990344994694169,82.222684144973754882812500000000,1695,159,0.580644418325500399902239223593,2,0.682795284603719632166018982389
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1741340003.57024,20,0,0
1741340003.9052322,20,0,0
1741340004.046943,20,0,0
1741340004.3617368,20,0,0
1741340004.492254,20,0,0
1741340005.9056573,20,1,5
1741340006.3131928,20,1,5
1741340006.513672,20,1,5
1741340006.6765358,20,1,5
1741340007.9711344,20,2,10
1741340008.4911053,20,2,10
1741340008.7302861,20,2,10
1741340008.8898354,20,2,10
1741340010.1978693,20,3,15
1741340010.9094155,20,3,15
1741340011.179123,20,3,15
1741340011.3456,20,3,15
1741340013.0525131,20,4,20
1741340013.802571,20,4,20
1741340014.070693,20,4,20
1741340014.248654,20,4,20
1741340015.631204,20,5,25
1741340016.691152,20,5,25
1741340016.9929798,20,5,25
1741340017.1892564,20,5,25
1741340018.5175645,20,6,30
1741340019.726466,20,6,30
1741340020.0416546,20,6,30
1741340020.2452774,20,6,30
1741340021.6118448,20,7,35
1741340022.921287,20,7,35
1741340023.2866673,20,7,35
1741340023.5096908,20,7,35
1741340024.9835982,20,8,40
1741340026.361658,20,8,40
1741340026.7508726,20,8,40
1741340027.0145254,20,8,40
1741340028.4096599,20,9,45
1741340030.2313805,20,9,45
1741340030.6334586,20,9,45
1741340030.9168544,20,9,45
1741340032.3169124,20,10,50
1741340034.2975395,20,10,50
1741340034.73165,20,10,50
1741340035.10399,20,10,50
1741340036.5511734,20,11,55
1741340038.4131856,20,11,55
1741340038.8458047,20,11,55
1741340039.2017415,20,11,55
1741340040.6740854,20,12,60
1741340042.6455085,20,12,60
1741340043.1521444,20,12,60
1741340043.5478776,20,12,60
1741340045.0869257,20,13,65
1741340047.171778,20,13,65
1741340047.878076,20,13,65
1741340048.2807837,20,13,65
1741340050.0722184,20,14,70
1741340052.2885451,20,14,70
1741340052.9965796,20,14,70
1741340053.3594346,20,14,70
1741340055.1017544,20,15,75
1741340057.4056888,20,15,75
1741340058.3168807,20,15,75
1741340058.667569,20,15,75
1741340060.1671565,20,16,80
1741340062.846061,20,16,80
1741340063.5489488,20,16,80
1741340063.941161,20,16,80
1741340065.4620695,20,17,85
1741340068.3840575,20,17,85
1741340068.9979608,20,17,85
1741340069.457428,20,17,85
1741340071.146662,20,18,90
1741340074.0482495,20,18,90
1741340074.7151387,20,18,90
1741340075.1455412,20,18,90
1741340076.7154355,20,19,95
1741340079.6997688,20,19,95
1741340080.3782465,20,19,95
1741340080.867469,20,19,95
1741340082.4585147,20,20,100
1741340085.7722008,20,20,100
1741340086.2716055,20,20,100
1741340232.5165615,20,20,100
1741340234.4415658,20,19,95
1741340237.954642,20,19,95
1741340240.7856576,20,19,95
1741340241.3038096,20,19,95
1741340246.7992268,20,19,95
1741340249.9019594,20,19,95
1741340250.3918111,20,19,95
1741340255.919105,20,19,95
1741340259.090082,20,19,95
1741340259.6358414,20,19,95
1741340265.0147736,20,19,95
1741340268.0980408,20,19,95
1741340268.6124268,20,19,95
1741340269.498996,20,19,95
1741340271.3352706,20,18,90
1741340274.7272124,20,18,90
1741340277.447099,20,18,90
1741340278.062104,20,18,90
1741340283.388224,20,18,90
1741340286.6143408,20,18,90
1741340287.144992,20,18,90
1741340287.9624982,20,18,90
1741340289.8881116,20,17,85
1741340293.2173343,20,17,85
1741340295.9034944,20,17,85
1741340296.4409654,20,17,85
1741340301.0793803,20,17,85
1741340301.8052232,20,16,80
1741340302.4861763,20,16,80
1741340304.981805,20,16,80
1741340305.521964,20,16,80
1741340310.2640743,20,16,80
1741340312.7617419,20,16,80
1741340313.2765799,20,16,80
1741340318.0945582,20,16,80
1741340320.5881882,20,16,80
1741340321.0873375,20,16,80
1741340322.1626875,20,16,80
1741340323.5940592,20,15,75
1741340326.6618295,20,15,75
1741340329.2740328,20,15,75
1741340329.7716873,20,15,75
1741340334.6410549,20,15,75
1741340337.0975723,20,15,75
1741340337.6090772,20,15,75
1741340342.4324358,20,15,75
1741340344.3658361,20,15,75
1741340345.3966413,20,14,70
1741340345.9033322,20,14,70
1741340346.4323707,20,14,70
1741340350.4766443,20,14,70
1741340351.2829967,20,13,65
1741340352.0021942,20,13,65
1741340354.24589,20,13,65
1741340354.749607,20,13,65
1741340359.1690428,20,13,65
1741340361.3290756,20,13,65
1741340362.2579768,20,13,65
1741340366.865687,20,13,65
1741340369.1252103,20,13,65
1741340369.7002099,20,13,65
1741340374.1168928,20,13,65
1741340376.4513345,20,13,65
1741340376.9604216,20,13,65
1741340381.3492126,20,13,65
1741340383.6946096,20,13,65
1741340384.2283318,20,13,65
1741340388.6254866,20,13,65
1741340390.8713393,20,13,65
1741340391.4237864,20,13,65
1741340395.650951,20,13,65
1741340397.827145,20,13,65
1741340398.3844764,20,13,65
1741340402.6223695,20,13,65
1741340404.8348062,20,13,65
1741340405.3311453,20,13,65
1741340409.5192115,20,13,65
1741340411.7775354,20,13,65
1741340412.309444,20,13,65
1741340416.8291266,20,13,65
1741340419.1126893,20,13,65
1741340419.6701124,20,13,65
1741340424.0552812,20,13,65
1741340425.6849647,20,13,65
1741340426.7209828,20,12,60
1741340427.212241,20,12,60
1741340427.7521753,20,12,60
1741340430.719629,20,12,60
1741340432.250933,20,11,55
1741340432.940571,20,11,55
1741340434.943709,20,11,55
1741340435.4602509,20,11,55
1741340439.3076952,20,11,55
1741340441.3202226,20,11,55
1741340441.879135,20,11,55
1741340445.760271,20,11,55
1741340447.7168808,20,11,55
1741340448.218799,20,11,55
1741340452.0490496,20,11,55
1741340454.0111094,20,11,55
1741340454.5341525,20,11,55
1741340458.4979634,20,11,55
1741340460.8302896,20,11,55
1741340461.3563688,20,11,55
1741340465.3757057,20,11,55
1741340467.29624,20,11,55
1741340467.8537006,20,11,55
1741340471.8390152,20,11,55
1741340473.8982637,20,11,55
1741340474.4771485,20,11,55
1741340478.5114832,20,11,55
1741340480.443046,20,11,55
1741340480.9813242,20,11,55
1741340484.8615584,20,11,55
1741340486.842423,20,11,55
1741340487.3957858,20,11,55
1741340490.1942775,20,11,55
1741340491.6929219,20,10,50
1741340492.538199,20,10,50
1741340494.3771205,20,10,50
1741340494.8843353,20,10,50
1741340498.710514,20,10,50
1741340500.5264037,20,10,50
1741340501.0526214,20,10,50
1741340505.1333218,20,10,50
1741340507.0900402,20,10,50
1741340507.6121852,20,10,50
1741340511.4022753,20,10,50
1741340513.3717318,20,10,50
1741340513.9378965,20,10,50
1741340517.636477,20,10,50
1741340519.4721992,20,10,50
1741340519.9665022,20,10,50
1741340523.6257007,20,10,50
1741340525.4512763,20,10,50
1741340525.9846706,20,10,50
1741340529.8188024,20,10,50
1741340531.7213407,20,10,50
1741340532.2432446,20,10,50
1741340536.0335698,20,10,50
1741340538.0390592,20,10,50
1741340538.5740993,20,10,50
1741340539.480438,20,10,50
1741340540.6085627,20,9,45
1741340543.2552876,20,9,45
1741340545.110309,20,9,45
1741340545.6579857,20,9,45
1741340549.5299923,20,9,45
1741340551.3147087,20,9,45
1741340551.9667323,20,9,45
1741340554.8178208,20,9,45
1741340555.7568421,20,8,40
1741340556.451329,20,8,40
1741340558.0639658,20,8,40
1741340558.6305377,20,8,40
1741340562.0773883,20,8,40
1741340563.836123,20,8,40
1741340564.3804612,20,8,40
1741340567.7223694,20,8,40
1741340569.4290159,20,8,40
1741340569.9672694,20,8,40
1741340573.3098333,20,8,40
1741340574.926738,20,8,40
1741340575.4194357,20,8,40
1741340578.745892,20,8,40
1741340580.3239095,20,8,40
1741340580.828619,20,8,40
1741340584.1572297,20,8,40
1741340585.7977355,20,8,40
1741340586.358986,20,8,40
1741340589.8667016,20,8,40
1741340591.6097765,20,8,40
1741340592.1775532,20,8,40
1741340596.1257896,20,8,40
1741340597.9571517,20,8,40
1741340598.5224493,20,8,40
1741340602.137411,20,8,40
1741340603.749314,20,8,40
1741340604.2575674,20,8,40
1741340607.5971882,20,8,40
1741340609.3463976,20,8,40
1741340609.8564482,20,8,40
1741340613.163216,20,8,40
1741340614.7944982,20,8,40
1741340615.3242354,20,8,40
1741340618.3852825,20,8,40
1741340618.9804113,20,7,35
1741340619.6748214,20,7,35
1741340621.151342,20,7,35
1741340621.6622753,20,7,35
1741340624.846307,20,7,35
1741340626.341246,20,7,35
1741340626.8699827,20,7,35
1741340630.0475924,20,7,35
1741340631.7605708,20,7,35
1741340632.2767196,20,7,35
1741340635.3671894,20,7,35
1741340636.8747036,20,7,35
1741340637.3753955,20,7,35
1741340640.6553733,20,7,35
1741340642.125464,20,7,35
1741340642.6244593,20,7,35
1741340646.0516717,20,7,35
1741340647.6156304,20,7,35
1741340648.1361427,20,7,35
1741340651.3926752,20,7,35
1741340652.9516542,20,7,35
1741340653.5108073,20,7,35
1741340656.7741733,20,7,35
1741340658.2631896,20,7,35
1741340658.7622612,20,7,35
1741340662.045599,20,7,35
1741340663.5880764,20,7,35
1741340664.1007597,20,7,35
1741340664.770871,20,7,35
1741340665.888552,20,6,30
1741340668.6264055,20,6,30
1741340669.290739,20,6,30
1741340670.5239856,20,5,25
1741340671.0579271,20,5,25
1741340671.5784273,20,5,25
1741340674.3602126,20,5,25
1741340675.4701827,20,5,25
1741340676.2064161,20,4,20
1741340676.697134,20,4,20
1741340677.23241,20,4,20
1741340679.8107,20,4,20
1741340680.964471,20,4,20
1741340681.4510837,20,4,20
1741340683.963185,20,4,20
1741340685.1131842,20,4,20
1741340685.6266701,20,4,20
1741340688.138503,20,4,20
1741340689.2425725,20,4,20
1741340689.9643378,20,4,20
1741340692.5646348,20,4,20
1741340693.738897,20,4,20
1741340694.2402759,20,4,20
1741340696.7755787,20,4,20
1741340697.9136333,20,4,20
1741340698.4942086,20,4,20
1741340701.1569693,20,4,20
1741340702.339812,20,4,20
1741340702.8622813,20,4,20
1741340705.5096636,20,4,20
1741340706.7071269,20,4,20
1741340707.2194588,20,4,20
1741340709.8375719,20,4,20
1741340710.9530287,20,4,20
1741340711.4534912,20,4,20
1741340714.0396469,20,4,20
1741340715.4129078,20,4,20
1741340715.9683042,20,4,20
1741340718.5119722,20,4,20
1741340719.6554177,20,4,20
1741340720.1731684,20,4,20
1741340722.7762895,20,4,20
1741340723.9426126,20,4,20
1741340724.459352,20,4,20
1741340727.0366607,20,4,20
1741340728.139599,20,4,20
1741340728.7226949,20,4,20
1741340731.2796428,20,4,20
1741340732.4018416,20,4,20
1741340732.9649758,20,4,20
1741340735.5386066,20,4,20
1741340736.7597659,20,4,20
1741340737.4682128,20,4,20
1741340740.0300617,20,4,20
1741340741.1510272,20,4,20
1741340741.6664863,20,4,20
1741340744.2334547,20,4,20
1741340745.3758264,20,4,20
1741340745.862819,20,4,20
1741340746.4473457,20,4,20
1741340747.2344444,20,3,15
1741340749.289692,20,3,15
1741340750.337722,20,3,15
1741340750.858633,20,3,15
1741340753.3245218,20,3,15
1741340754.4016912,20,3,15
1741340754.9460785,20,3,15
1741340757.397511,20,3,15
1741340758.4897683,20,3,15
1741340759.0201354,20,3,15
1741340761.746379,20,3,15
1741340762.840998,20,3,15
1741340763.3566818,20,3,15
1741340765.7695782,20,3,15
1741340766.7975404,20,3,15
1741340767.3214989,20,3,15
1741340769.6958063,20,3,15
1741340770.7139757,20,3,15
1741340771.2330549,20,3,15
1741340773.610837,20,3,15
1741340774.6163323,20,3,15
1741340775.1470726,20,3,15
1741340777.579854,20,3,15
1741340778.6615858,20,3,15
1741340779.1707175,20,3,15
1741340781.6337318,20,3,15
1741340782.9114974,20,3,15
1741340783.4531474,20,3,15
1741340785.9025633,20,3,15
1741340787.0546293,20,3,15
1741340787.548588,20,3,15
1741340789.9371533,20,3,15
1741340791.0126169,20,3,15
1741340791.6121166,20,3,15
1741340794.065394,20,3,15
1741340795.0587206,20,3,15
1741340795.5828323,20,3,15
1741340797.9663022,20,3,15
1741340799.0247905,20,3,15
1741340799.542427,20,3,15
1741340801.9429476,20,3,15
1741340802.9317682,20,3,15
1741340803.4501338,20,3,15
1741340806.0355132,20,3,15
1741340807.0643764,20,3,15
1741340807.597036,20,3,15
1741340809.9425845,20,3,15
1741340811.04857,20,3,15
1741340811.5660315,20,3,15
1741340814.053669,20,3,15
1741340815.118505,20,3,15
1741340815.6591914,20,3,15
1741340818.026355,20,3,15
1741340819.0443501,20,3,15
1741340819.5429904,20,3,15
1741340822.040362,20,3,15
1741340823.1153386,20,3,15
1741340823.6336474,20,3,15
1741340825.9921076,20,3,15
1741340827.2653708,20,3,15
1741340827.8369458,20,3,15
1741340830.2863946,20,3,15
1741340831.282091,20,3,15
1741340831.8336918,20,3,15
1741340834.285256,20,3,15
1741340835.3408818,20,3,15
1741340835.8696625,20,3,15
1741340838.2423456,20,3,15
1741340839.2414553,20,3,15
1741340839.7315109,20,3,15
1741340842.0752697,20,3,15
1741340843.0811613,20,3,15
1741340843.6301205,20,3,15
1741340846.109539,20,3,15
1741340847.1402156,20,3,15
1741340847.6347787,20,3,15
1741340850.0476742,20,3,15
1741340851.34323,20,3,15
1741340851.8502622,20,3,15
1741340854.259715,20,3,15
1741340855.2797673,20,3,15
1741340855.7797225,20,3,15
1741340858.1527278,20,3,15
1741340859.1946921,20,3,15
1741340859.742354,20,3,15
1741340862.1120331,20,3,15
1741340863.1998658,20,3,15
1741340863.6876607,20,3,15
1741340866.0892074,20,3,15
1741340867.101174,20,3,15
1741340867.5884185,20,3,15
1741340869.9518862,20,3,15
1741340870.9350746,20,3,15
1741340871.4487588,20,3,15
1741340874.0912907,20,3,15
1741340875.146841,20,3,15
1741340875.6391058,20,3,15
1741340878.0354123,20,3,15
1741340879.0236356,20,3,15
1741340879.5161774,20,3,15
1741340881.8885396,20,3,15
1741340882.9138525,20,3,15
1741340883.4204283,20,3,15
1741340885.8732433,20,3,15
1741340886.8800251,20,3,15
1741340887.4227965,20,3,15
1741340889.825592,20,3,15
1741340891.0203922,20,3,15
1741340891.5419796,20,3,15
1741340893.9294531,20,3,15
1741340895.1481519,20,3,15
1741340895.636698,20,3,15
1741340897.997544,20,3,15
1741340899.0184257,20,3,15
1741340899.5350392,20,3,15
1741340902.0501878,20,3,15
1741340903.0817473,20,3,15
1741340903.6009662,20,3,15
1741340906.191464,20,3,15
1741340907.2390745,20,3,15
1741340907.7277837,20,3,15
1741340910.1628637,20,3,15
1741340911.1590304,20,3,15
1741340911.6541636,20,3,15
1741340914.05727,20,3,15
1741340915.1464334,20,3,15
1741340915.6374362,20,3,15
1741340918.3071277,20,3,15
1741340919.3222148,20,3,15
1741340919.8324683,20,3,15
1741340922.2814972,20,3,15
1741340923.3135483,20,3,15
1741340923.8975856,20,3,15
1741340926.3891635,20,3,15
1741340927.5136733,20,3,15
1741340928.0894852,20,3,15
1741340930.5031948,20,3,15
1741340931.5305955,20,3,15
1741340932.0717998,20,3,15
1741340934.144103,20,3,15
1741340934.7393782,20,2,10
1741340935.4340665,20,2,10
1741340936.382344,20,2,10
1741340936.9461498,20,2,10
1741340939.4764495,20,2,10
1741340940.4057705,20,2,10
1741340940.9137223,20,2,10
1741340943.2296422,20,2,10
1741340944.146043,20,2,10
1741340944.735715,20,2,10
1741340946.9330924,20,2,10
1741340947.828851,20,2,10
1741340948.3315763,20,2,10
1741340950.5210822,20,2,10
1741340951.514336,20,2,10
1741340952.0104365,20,2,10
1741340954.244131,20,2,10
1741340955.1222281,20,2,10
1741340955.6493206,20,2,10
1741340957.9037156,20,2,10
1741340958.7933788,20,2,10
1741340959.325062,20,2,10
1741340961.7843876,20,2,10
1741340962.6807683,20,2,10
1741340963.1770363,20,2,10
1741340965.5598118,20,2,10
1741340966.5404475,20,2,10
1741340967.055714,20,2,10
1741340969.2940145,20,2,10
1741340970.2258394,20,2,10
1741340970.7887306,20,2,10
1741340973.051419,20,2,10
1741340973.9204261,20,2,10
1741340974.4374955,20,2,10
1741340976.706837,20,2,10
1741340977.6658134,20,2,10
1741340978.2333698,20,2,10
1741340980.4783409,20,2,10
1741340981.4011786,20,2,10
1741340982.1973383,20,2,10
1741340984.4398372,20,2,10
1741340985.3731265,20,2,10
1741340985.8633502,20,2,10
1741340988.0175605,20,2,10
1741340988.9405005,20,2,10
1741340989.4522724,20,2,10
1741340991.6288419,20,2,10
1741340992.5501199,20,2,10
1741340993.0609715,20,2,10
1741340995.28345,20,2,10
1741340996.2583027,20,2,10
1741340996.7844732,20,2,10
1741340999.0500157,20,2,10
1741340999.9826443,20,2,10
1741341000.609403,20,2,10
1741341003.147764,20,2,10
1741341004.0779092,20,2,10
1741341004.5742803,20,2,10
1741341006.3236384,20,2,10
1741341007.0151415,20,1,5
1741341007.7381363,20,1,5
1741341008.564681,20,1,5
1741341009.0518823,20,1,5
1741341011.0304632,20,1,5
1741341011.8006039,20,1,5
1741341012.3118525,20,1,5
1741341014.3173234,20,1,5
1741341015.0865607,20,1,5
1741341015.5745704,20,1,5
1741341017.5659637,20,1,5
1741341018.4824197,20,1,5
1741341018.9927957,20,1,5
1741341021.3134184,20,1,5
1741341022.0895627,20,1,5
1741341022.5788534,20,1,5
1741341024.7366464,20,1,5
1741341025.6416693,20,1,5
1741341026.1763403,20,1,5
1741341028.1957526,20,1,5
1741341028.968467,20,1,5
1741341029.4610178,20,1,5
1741341031.1447644,20,1,5
1741341031.7189302,20,0,0
1741341032.3982992,20,0,0
1741341033.0697334,20,0,0
1741341055.2923517,20,0,0
1741341055.8517401,20,0,0
1741341057.4586535,20,1,5
1741341058.479847,20,1,5
1741341079.0291176,20,1,5
1741341079.6398034,20,1,5
1741341081.3247206,20,2,10
1741341082.592252,20,2,10
1741341093.9565237,20,2,10
1741341094.5374916,20,2,10
1741341096.3253896,20,3,15
1741341097.7857144,20,3,15
1741341109.48806,20,3,15
1741341110.2829525,20,3,15
1741341112.2656617,20,4,20
1741341113.5625732,20,4,20
1741341128.301608,20,4,20
1741341128.9424863,20,4,20
1741341130.575075,20,5,25
1741341132.0849793,20,5,25
1741341143.1524374,20,5,25
1741341143.8191345,20,5,25
1741341145.565456,20,6,30
1741341147.3348978,20,6,30
1741341160.3540454,20,6,30
1741341161.3109703,20,6,30
1741341163.445641,20,7,35
1741341165.5225706,20,7,35
1741341186.3552067,20,7,35
1741341187.4364731,20,7,35
1741341189.4647524,20,8,40
1741341191.6432571,20,8,40
1741341205.6420372,20,8,40
1741341206.3522477,20,8,40
1741341208.4299412,20,9,45
1741341210.6368134,20,9,45
1741341223.3830745,20,9,45
1741341224.3523602,20,9,45
1741341226.400682,20,10,50
1741341229.0052183,20,10,50
1741341260.8151655,20,10,50
1741341261.6586738,20,10,50
1741341263.662264,20,11,55
1741341266.1461778,20,11,55
1741341295.2426007,20,11,55
1741341295.9857879,20,11,55
1741341297.7854295,20,12,60
1741341298.6396344,20,12,60
1741341299.7732866,20,11,55
1741341302.1592135,20,10,50
1741341302.9235594,20,10,50
1741341327.298037,20,10,50
1741341328.196963,20,10,50
1741341329.9146821,20,11,55
1741341332.315139,20,11,55
1741341347.0583947,20,11,55
1741341347.842556,20,11,55
1741341349.7675602,20,12,60
1741341350.6303601,20,12,60
1741341352.040933,20,11,55
1741341354.75526,20,10,50
1741341355.6627903,20,10,50
1741341372.8790455,20,10,50
1741341373.7178748,20,10,50
1741341375.6291099,20,11,55
1741341376.9107847,20,11,55
1741341378.1432061,20,10,50
1741341380.2365248,20,9,45
1741341381.1793928,20,9,45
1741341398.958397,20,9,45
1741341399.9227965,20,9,45
1741341401.8536887,20,10,50
1741341402.784847,20,10,50
1741341404.0024009,20,9,45
1741341405.3202355,20,8,40
1741341406.5131276,20,7,35
1741341408.4041383,20,6,30
1741341409.780521,20,6,30
1741341428.5141804,20,6,30
1741341429.70116,20,6,30
1741341431.5641954,20,7,35
1741341433.7327619,20,7,35
1741341445.986722,20,7,35
1741341446.9420445,20,7,35
1741341449.0216596,20,8,40
1741341451.574123,20,8,40
1741341466.8332996,20,8,40
1741341467.7958515,20,8,40
1741341469.7986925,20,9,45
1741341470.986559,20,9,45
1741341473.2255201,20,8,40
1741341474.2097373,20,8,40
1741341498.5092754,20,8,40
1741341499.7343514,20,8,40
1741341501.6473534,20,9,45
1741341502.8213391,20,9,45
1741341504.9804459,20,8,40
1741341505.9230895,20,8,40
1741341530.839992,20,8,40
1741341532.2394292,20,8,40
1741341534.6788275,20,9,45
1741341535.9134338,20,9,45
1741341537.9974873,20,8,40
1741341538.8393323,20,8,40
1741341543.2237527,20,8,40
1741341545.6797712,20,8,40
1741341563.6357627,20,8,40
1741341564.9052224,20,8,40
1741341567.0082662,20,9,45
1741341568.2573,20,9,45
1741341570.2991717,20,8,40
1741341571.3608308,20,8,40
1741341601.4042394,20,8,40
1741341602.8615613,20,8,40
1741341605.0716174,20,9,45
1741341606.5285065,20,9,45
1741341609.2348566,20,8,40
1741341610.3156724,20,8,40
1741341629.6865196,20,8,40
1741341630.5937986,20,8,40
1741341632.6432507,20,9,45
1741341633.7330942,20,9,45
1741341635.1714888,20,8,40
1741341637.5846722,20,7,35
1741341638.7851727,20,7,35
1741341658.3621867,20,7,35
1741341659.873044,20,7,35
1741341661.993644,20,8,40
1741341664.444913,20,8,40
1741341680.5268629,20,8,40
1741341681.947896,20,8,40
1741341684.1468256,20,9,45
1741341686.6961756,20,9,45
1741341699.6362207,20,9,45
1741341701.210658,20,9,45
1741341703.8043563,20,10,50
1741341704.927397,20,10,50
1741341706.5748055,20,9,45
1741341708.2405963,20,8,40
1741341710.6497917,20,7,35
1741341711.9472487,20,7,35
1741341741.1527119,20,7,35
1741341742.328783,20,7,35
1741341744.7946737,20,8,40
1741341746.0644035,20,8,40
1741341747.931218,20,7,35
1741341750.3297796,20,6,30
1741341751.51493,20,6,30
1741341783.0779028,20,6,30
1741341784.5768135,20,6,30
1741341786.828418,20,7,35
1741341789.1193914,20,7,35
1741341805.9858713,20,7,35
1741341807.313945,20,7,35
1741341810.1537914,20,8,40
1741341812.6424286,20,8,40
1741341841.912681,20,8,40
1741341843.2120445,20,8,40
1741341845.7633305,20,9,45
1741341847.1643856,20,9,45
1741341849.0260737,20,8,40
1741341851.4682193,20,7,35
1741341852.6608665,20,7,35
1741341875.3502374,20,7,35
1741341877.25729,20,7,35
1741341879.856726,20,8,40
1741341881.264195,20,8,40
1741341883.922717,20,7,35
1741341885.3350186,20,7,35
1741341918.2438493,20,7,35
1741341919.5608811,20,7,35
1741341921.9593203,20,8,40
1741341923.4246178,20,8,40
1741341926.4348862,20,7,35
1741341928.1986184,20,7,35
1741341952.5764413,20,7,35
1741341954.0980349,20,7,35
1741341956.4213624,20,8,40
1741341958.0763981,20,8,40
1741341960.1148815,20,7,35
1741341961.9849117,20,6,30
1741341964.2425365,20,5,25
1741341965.4657013,20,5,25
1741341970.1264272,20,5,25
1741341972.7309551,20,5,25
1741341994.7380676,20,5,25
1741341996.434902,20,5,25
1741341998.9985816,20,6,30
1741342001.4502773,20,6,30
1741342026.1185987,20,6,30
1741342027.9041822,20,6,30
1741342030.247114,20,7,35
1741342031.769231,20,7,35
1741342034.5103526,20,6,30
1741342036.0650387,20,6,30
1741342074.6806698,20,6,30
1741342076.0223293,20,6,30
1741342078.3897927,20,7,35
1741342080.0731153,20,7,35
1741342083.1655607,20,6,30
1741342084.7014375,20,6,30
1741342131.4063742,20,6,30
1741342133.1094067,20,6,30
1741342135.899521,20,7,35
1741342137.762134,20,7,35
1741342139.9570587,20,6,30
1741342141.783124,20,6,30
1741342174.1071675,20,6,30
1741342175.6816998,20,6,30
1741342178.0534487,20,7,35
1741342179.5941808,20,7,35
1741342181.7838905,20,6,30
1741342183.8133037,20,5,25
1741342185.948791,20,4,20
1741342187.518613,20,4,20
1741342219.409974,20,4,20
1741342221.0872252,20,4,20
1741342223.5826557,20,5,25
1741342226.1427245,20,5,25
1741342259.6153502,20,5,25
1741342261.1884747,20,5,25
1741342264.249013,20,6,30
1741342266.1072505,20,6,30
1741342268.7622118,20,5,25
1741342270.3354368,20,5,25
1741342317.3024092,20,5,25
1741342319.164805,20,5,25
1741342321.626847,20,6,30
1741342323.3778803,20,6,30
1741342325.8477478,20,5,25
1741342327.8199637,20,5,25
1741342364.8212602,20,5,25
1741342366.3059933,20,5,25
1741342369.4521112,20,6,30
1741342372.1481254,20,6,30
1741342396.6936164,20,6,30
1741342398.5954118,20,6,30
1741342401.0453198,20,7,35
1741342403.745739,20,7,35
1741342435.8360631,20,7,35
1741342437.4058611,20,7,35
1741342440.084584,20,8,40
1741342441.6040683,20,8,40
1741342444.516074,20,7,35
1741342446.5906234,20,7,35
1741342495.1230614,20,7,35
1741342496.7273526,20,7,35
1741342499.6096184,20,8,40
1741342501.2930524,20,8,40
1741342503.344734,20,7,35
1741342505.967036,20,6,30
1741342508.6243289,20,5,25
1741342510.337182,20,5,25
1741342565.7517257,20,5,25
1741342567.3749073,20,5,25
1741342570.09842,20,6,30
1741342572.6294987,20,6,30
1741342597.0681694,20,6,30
1741342598.589473,20,6,30
1741342601.0879285,20,7,35
1741342604.2667985,20,7,35
1741342636.996729,20,7,35
1741342638.6271915,20,7,35
1741342641.511801,20,8,40
1741342643.374999,20,8,40
1741342646.0842016,20,7,35
1741342648.070175,20,6,30
1741342704.7362268,20,6,30
1741342706.2823136,20,6,30
1741342709.23277,20,7,35
1741342711.9915879,20,7,35
1741342717.0813057,20,7,35
1741342720.4300308,20,7,35
1741342758.777366,20,7,35
1741342760.3631768,20,7,35
1741342763.2042897,20,8,40
1741342766.5973158,20,8,40
1741342803.7957556,20,8,40
1741342805.4737635,20,8,40
1741342808.6855612,20,9,45
1741342810.603978,20,9,45
1741342813.0530982,20,8,40
1741342815.676301,20,7,35
1741342817.884095,20,6,30
1741342820.3681972,20,5,25
1741342822.7604334,20,5,25
1741342868.179034,20,5,25
1741342869.8921995,20,5,25
1741342872.9158933,20,6,30
1741342875.918213,20,6,30
1741342918.4377515,20,6,30
1741342920.7036135,20,6,30
1741342923.4641204,20,7,35
1741342957.182576,20,7,35
1741342960.4514258,20,6,30
1741342962.5480595,20,6,30
1741343012.556423,20,6,30
1741343014.8288367,20,6,30
1741343017.5037208,20,7,35
1741343020.0243776,20,7,35
1741343023.0213807,20,6,30
1741343025.0199375,20,6,30
1741343080.5989974,20,6,30
1741343082.871844,20,6,30
1741343085.5813725,20,7,35
1741343087.6037261,20,7,35
1741343090.8447733,20,6,30
1741343093.5031564,20,5,25
1741343095.8327043,20,5,25
1741343128.7336497,20,5,25
1741343130.4225667,20,5,25
1741343133.638806,20,6,30
1741343135.652089,20,6,30
1741343138.472555,20,5,25
1741343140.7271354,20,5,25
1741343195.3179927,20,5,25
1741343197.569494,20,5,25
1741343200.3397653,20,6,30
1741343202.6533575,20,6,30
1741343206.001519,20,5,25
1741343208.2143745,20,5,25
1741343273.5032656,20,5,25
1741343275.986632,20,5,25
1741343278.8499343,20,6,30
1741343280.8483105,20,6,30
1741343284.109631,20,5,25
1741343286.2781658,20,5,25
1741343345.5497172,20,5,25
1741343347.403177,20,5,25
1741343350.3478043,20,6,30
1741343352.6759624,20,6,30
1741343355.4878619,20,5,25
1741343357.7609847,20,4,20
1741343360.7346299,20,3,15
1741343362.9528105,20,3,15
1741343412.0459676,20,3,15
1741343413.8021607,20,3,15
1741343416.5359206,20,4,20
1741343419.310543,20,4,20
1741343462.5073442,20,4,20
1741343464.5150208,20,4,20
1741343467.6582806,20,5,25
1741343470.456865,20,5,25
1741343534.6359298,20,5,25
1741343536.4570432,20,5,25
1741343539.504773,20,6,30
1741343543.1862051,20,6,30
1741343596.369074,20,6,30
1741343598.513504,20,6,30
1741343601.9551713,20,7,35
1741343603.931487,20,7,35
1741343606.5019834,20,6,30
1741343610.2059824,20,5,25
1741343611.9974022,20,5,25
1741343617.594604,20,5,25
1741343621.1301665,20,5,25
1741343673.6663346,20,5,25
1741343675.6958616,20,5,25
1741343678.5491207,20,6,30
1741343681.2177498,20,6,30
1741343683.868886,20,5,25
1741343687.096469,20,4,20
1741343689.2290924,20,4,20
1741343744.562336,20,4,20
1741343747.0170493,20,4,20
1741343749.9463904,20,5,25
1741343751.8898053,20,5,25
1741343754.7799132,20,4,20
1741343757.6178758,20,3,15
1741343760.0913253,20,3,15
1741343825.0163252,20,3,15
1741343827.0597577,20,3,15
1741343830.356804,20,4,20
1741343832.6407485,20,4,20
1741343835.8028708,20,3,15
1741343838.173902,20,3,15
1741343893.750383,20,3,15
1741343896.1990855,20,3,15
1741343899.1796703,20,4,20
1741343902.1665475,20,4,20
1741343945.2060237,20,4,20
1741343947.2461672,20,4,20
1741343950.944123,20,5,25
1741343952.8801386,20,5,25
1741343955.4297276,20,4,20
1741343958.9664273,20,3,15
1741343961.2507563,20,3,15
1741344014.402275,20,3,15
1741344016.6620133,20,3,15
1741344020.0971732,20,4,20
1741344023.1861496,20,4,20
1741344069.340888,20,4,20
1741344071.797109,20,4,20
1741344074.853681,20,5,25
1741344078.488352,20,5,25
1741344103.436374,20,5,25
1741344106.11539,20,5,25
1741344109.1911385,20,6,30
1741344112.9892716,20,6,30
1741344156.4478405,20,6,30
1741344158.8540957,20,6,30
1741344162.2941496,20,7,35
1741344164.5249374,20,7,35
1741344167.725862,20,6,30
1741344170.803225,20,5,25
1741344174.1568484,20,4,20
1741344176.6835022,20,4,20
1741344210.7276165,20,4,20
1741344212.777244,20,4,20
1741344215.8579087,20,5,25
1741344219.6162493,20,5,25
1741344272.2975945,20,5,25
1741344274.8649516,20,5,25
1741344277.8603044,20,6,30
1741344280.205596,20,6,30
1741344284.0831087,20,5,25
1741344286.5379412,20,5,25
1741344317.9594347,20,5,25
1741344320.120027,20,5,25
1741344323.5549061,20,6,30
1741344326.9657085,20,6,30
1741344368.8463714,20,6,30
1741344370.9771314,20,6,30
1741344374.36355,20,7,35
1741344376.7496243,20,7,35
1741344379.4552772,20,6,30
1741344382.92099,20,5,25
1741344386.0427608,20,4,20
1741344388.8963664,20,4,20
1741344414.6661806,20,4,20
1741344417.3702655,20,4,20
1741344420.7633076,20,5,25
1741344423.3466263,20,5,25
1741344426.8603065,20,4,20
1741344429.779785,20,4,20
1741344470.2910602,20,4,20
1741344472.7786145,20,4,20
1741344475.9396524,20,5,25
1741344479.1372674,20,5,25
1741344504.4435036,20,5,25
1741344506.843962,20,5,25
1741344510.39926,20,6,30
1741344512.8788478,20,6,30
1741344516.6447227,20,5,25
1741344518.8003848,20,5,25
1741344524.3831253,20,5,25
1741344528.382545,20,5,25
1741344574.6964185,20,5,25
1741344576.984603,20,5,25
1741344580.1162372,20,6,30
1741344582.7614336,20,6,30
1741344586.2175198,20,5,25
1741344589.030131,20,5,25
1741344633.2605062,20,5,25
1741344635.8909433,20,5,25
1741344639.0581698,20,6,30
1741344641.8852136,20,6,30
1741344645.3876598,20,5,25
1741344647.900529,20,5,25
1741344698.937321,20,5,25
1741344701.576472,20,5,25
1741344704.8723536,20,6,30
1741344707.1337879,20,6,30
1741344710.5097313,20,5,25
1741344713.632624,20,4,20
1741344717.208986,20,3,15
1741344719.844041,20,3,15
1741344751.539343,20,3,15
1741344754.043836,20,3,15
1741344757.5838838,20,4,20
1741344760.904171,20,4,20
1741344788.8832994,20,4,20
1741344791.290869,20,4,20
1741344795.245718,20,5,25
1741344798.5577154,20,5,25
1741344843.6653671,20,5,25
1741344845.9435718,20,5,25
1741344849.5374284,20,6,30
1741344853.3684912,20,6,30
1741344908.3812768,20,6,30
1741344911.0958357,20,6,30
1741344914.8412879,20,7,35
1741344917.2863564,20,7,35
1741344920.7552245,20,6,30
1741344924.3089104,20,5,25
1741344927.5077636,20,5,25
1741344962.6523721,20,5,25
1741344965.4623647,20,5,25
1741344968.931106,20,6,30
1741344971.3226886,20,6,30
1741344974.903309,20,5,25
1741344978.7769194,20,4,20
1741344981.606436,20,4,20
1741345022.9503958,20,4,20
1741345025.3607008,20,4,20
1741345029.186355,20,5,25
1741345032.822553,20,5,25
1741345068.8760207,20,5,25
1741345071.3802383,20,5,25
1741345075.366687,20,6,30
1741345078.312552,20,6,30
1741345081.965416,20,5,25
1741345086.0409105,20,4,20
1741345089.3546135,20,4,20
1741345121.9889069,20,4,20
1741345124.936176,20,4,20
1741345128.419448,20,5,25
1741345132.725024,20,5,25
1741345161.94777,20,5,25
1741345164.4163282,20,5,25
1741345167.9832413,20,6,30
1741345171.969471,20,6,30
1741345200.1009574,20,6,30
1741345202.5367894,20,6,30
1741345206.456457,20,7,35
1741345210.6754518,20,7,35
1741345240.2102177,20,7,35
1741345242.6185956,20,7,35
1741345246.32546,20,8,40
1741345250.6933498,20,8,40
1741345281.7095063,20,8,40
1741345284.6235178,20,8,40
1741345288.1526392,20,9,45
1741345291.0140238,20,9,45
1741345295.2005434,20,8,40
1741345299.7350492,20,7,35
1741345302.7503836,20,7,35
1741345352.0458038,20,7,35
1741345354.6922395,20,7,35
1741345358.5879316,20,8,40
1741345361.2955449,20,8,40
1741345365.1036422,20,7,35
1741345368.5007572,20,6,30
1741345372.0718472,20,5,25
1741345375.78974,20,4,20
1741345378.6652927,20,4,20
1741345385.2573957,20,4,20
1741345389.505533,20,4,20
1741345422.8585672,20,4,20
1741345425.8352804,20,4,20
1741345429.297963,20,5,25
1741345432.202115,20,5,25
1741345436.0232317,20,4,20
1741345439.449744,20,4,20
1741345479.8892329,20,4,20
1741345482.476208,20,4,20
1741345486.1525602,20,5,25
1741345489.6061895,20,5,25
1741345493.1230638,20,4,20
1741345496.4495406,20,4,20
1741345531.5737298,20,4,20
1741345534.1499681,20,4,20
1741345538.0276616,20,5,25
1741345540.9133801,20,5,25
1741345544.9860473,20,4,20
1741345547.9242983,20,4,20
1741345584.031484,20,4,20
1741345587.1012018,20,4,20
1741345590.5739903,20,5,25
1741345593.3811712,20,5,25
1741345597.7226906,20,4,20
1741345601.3244143,20,4,20
1741345637.5657928,20,4,20
1741345640.7604234,20,4,20
1741345644.2210598,20,5,25
1741345647.3580275,20,5,25
1741345651.174264,20,4,20
1741345655.3083775,20,3,15
1741345658.2893088,20,3,15
1741345705.9715726,20,3,15
1741345708.8960576,20,3,15
1741345712.4103258,20,4,20
1741345715.5886078,20,4,20
1741345719.107126,20,3,15
1741345722.9287965,20,2,10
1741345725.8005257,20,2,10
1741345762.759434,20,2,10
1741345765.7384133,20,2,10
1741345769.3128283,20,3,15
1741345772.165696,20,3,15
1741345776.3971746,20,2,10
1741345779.987956,20,2,10
1741345818.4193335,20,2,10
1741345821.2900858,20,2,10
1741345825.7737877,20,3,15
1741345828.3031507,20,3,15
1741345832.2014308,20,2,10
1741345835.2043972,20,2,10
1741345874.158603,20,2,10
1741345877.2146475,20,2,10
1741345881.1576724,20,3,15
1741345885.2618663,20,3,15
1741345919.573642,20,3,15
1741345922.4426801,20,3,15
1741345926.5934415,20,4,20
1741345929.4831693,20,4,20
1741345933.809856,20,3,15
1741345936.9374387,20,3,15
1741345980.6572456,20,3,15
1741345983.6826522,20,3,15
1741345987.5473425,20,4,20
1741345991.1310718,20,4,20
1741345995.0596762,20,3,15
1741345998.6056492,20,3,15
1741346036.10665,20,3,15
1741346038.8442721,20,3,15
1741346042.8651004,20,4,20
1741346046.6792443,20,4,20
1741346086.7532878,20,4,20
1741346089.4738004,20,4,20
1741346093.2470238,20,5,25
1741346096.4917617,20,5,25
1741346101.4742138,20,4,20
1741346104.8355417,20,4,20
1741346148.2111542,20,4,20
1741346151.6085048,20,4,20
1741346155.6410394,20,5,25
1741346159.1246917,20,5,25
1741346164.327131,20,4,20
1741346168.8838258,20,3,15
1741346172.7657351,20,3,15
1741346206.4642196,20,3,15
1741346209.4372187,20,3,15
1741346213.778822,20,4,20
1741346216.540411,20,4,20
1741346220.9878144,20,3,15
1741346224.2231982,20,3,15
1741346269.016728,20,3,15
1741346272.42485,20,3,15
1741346277.3972812,20,4,20
1741346281.0760672,20,4,20
1741346285.3394077,20,3,15
1741346289.3096578,20,3,15
1741346332.3224025,20,3,15
1741346336.0030942,20,3,15
1741346339.8024318,20,4,20
1741346343.4464965,20,4,20
1741346350.3697572,20,4,20
1741346354.6056466,20,4,20
1741346359.478611,20,3,15
1741346362.9082756,20,3,15
1741346406.5920808,20,3,15
1741346410.0307693,20,3,15
1741346413.900542,20,4,20
1741346418.3876643,20,4,20
1741346462.7583556,20,4,20
1741346465.782277,20,4,20
1741346470.0942934,20,5,25
1741346474.3948762,20,5,25
1741346529.849323,20,5,25
1741346532.7381685,20,5,25
1741346537.1180751,20,6,30
1741346540.116682,20,6,30
1741346544.641515,20,5,25
1741346548.9046786,20,4,20
1741346553.604027,20,3,15
1741346557.7481737,20,3,15
1741346633.126043,20,3,15
1741346636.05589,20,3,15
1741346640.3749123,20,4,20
1741346643.4610856,20,4,20
1741346647.6325753,20,3,15
1741346651.5445027,20,2,10
1741346655.7359068,20,1,5
1741346659.5305138,20,1,5
1741346703.117902,20,1,5
1741346706.1029868,20,1,5
1741346710.3886864,20,2,10
1741346714.616589,20,2,10
1741346752.1716611,20,2,10
1741346755.2197058,20,2,10
1741346759.461933,20,3,15
1741346764.186441,20,3,15
1741346813.1655493,20,3,15
1741346816.5211873,20,3,15
1741346820.4531596,20,4,20
1741346825.2654397,20,4,20
1741346873.7909038,20,4,20
1741346877.1526222,20,4,20
1741346880.984904,20,5,25
1741346884.7331538,20,5,25
1741346889.0523717,20,4,20
1741346892.9474545,20,4,20
1741346964.92106,20,4,20
1741346967.8872976,20,4,20
1741346972.2831905,20,5,25
1741346975.182625,20,5,25
1741346979.6593423,20,4,20
1741346984.439535,20,3,15
1741346988.477612,20,3,15
1741347055.2336,20,3,15
1741347058.2243762,20,3,15
1741347063.2884526,20,4,20
1741347066.5752065,20,4,20
1741347071.3379643,20,3,15
1741347075.3154159,20,2,10
1741347123.9564395,20,2,10
1741347127.0912135,20,2,10
1741347131.764491,20,3,15
1741347136.0227642,20,3,15
1741347174.8854382,20,3,15
1741347177.9845488,20,3,15
1741347182.725616,20,4,20
1741347187.223257,20,4,20
1741347228.8856742,20,4,20
1741347232.58875,20,4,20
1741347236.7106676,20,5,25
1741347241.8671463,20,5,25
1741347284.252234,20,5,25
1741347287.8617795,20,5,25
1741347292.0337708,20,6,30
1741347295.9831603,20,6,30
1741347300.70461,20,5,25
1741347304.8544888,20,5,25
1741347354.127094,20,5,25
1741347357.606736,20,5,25
1741347361.6589746,20,6,30
1741347365.2205584,20,6,30
1741347370.1152332,20,5,25
1741347374.5320272,20,4,20
1741347379.1659653,20,3,15
1741347383.4071667,20,3,15
1741347444.8909533,20,3,15
1741347448.0333734,20,3,15
1741347452.625559,20,4,20
1741347455.8306503,20,4,20
1741347461.1284428,20,3,15
1741347465.37926,20,3,15
1741347514.5418434,20,3,15
1741347518.2222986,20,3,15
1741347522.6567402,20,4,20
1741347526.4280543,20,4,20
1741347531.018944,20,3,15
1741347534.4776835,20,3,15
1741347541.851879,20,3,15
1741347547.2993562,20,3,15
1741347595.8984864,20,3,15
1741347599.089357,20,3,15
1741347603.6895714,20,4,20
1741347606.7743933,20,4,20
1741347611.8016558,20,3,15
1741347615.9104357,20,3,15
1741347666.1411858,20,3,15
1741347669.9075441,20,3,15
1741347674.0358756,20,4,20
1741347679.2117496,20,4,20
1741347724.6033416,20,4,20
1741347728.485853,20,4,20
1741347732.7245529,20,5,25
1741347736.394921,20,5,25
1741347741.2610924,20,4,20
1741347745.563755,20,4,20
1741347797.2407436,20,4,20
1741347800.9242954,20,4,20
1741347805.246158,20,5,25
1741347808.9761045,20,5,25
1741347814.3527186,20,4,20
1741347818.3771546,20,4,20
1741347873.7591984,20,4,20
1741347876.9423568,20,4,20
1741347881.6083207,20,5,25
1741347884.8267388,20,5,25
1741347890.3389304,20,4,20
1741347894.842701,20,4,20
1741347943.8866026,20,4,20
1741347947.1068902,20,4,20
1741347951.9372227,20,5,25
1741347955.4505138,20,5,25
1741347960.910483,20,4,20
1741347966.212265,20,3,15
1741347970.587172,20,3,15
1741348024.0426621,20,3,15
1741348027.1986074,20,3,15
1741348032.1200984,20,4,20
1741348035.3994863,20,4,20
1741348040.182643,20,3,15
1741348045.1615794,20,2,10
1741348049.6541157,20,2,10
1741348108.2645547,20,2,10
1741348112.255383,20,2,10
1741348116.9567664,20,3,15
1741348122.0856168,20,3,15
1741348183.0314906,20,3,15
1741348187.0483606,20,3,15
1741348191.3539748,20,4,20
1741348195.715867,20,4,20
1741348201.1273892,20,3,15
1741348205.1916614,20,3,15
1741348266.820183,20,3,15
1741348270.2358289,20,3,15
1741348275.359413,20,4,20
1741348279.1466262,20,4,20
1741348284.705627,20,3,15
1741348289.1806195,20,3,15
1741348342.405238,20,3,15
1741348346.5776205,20,3,15
1741348351.2204666,20,4,20
1741348356.5994277,20,4,20
1741348418.7622983,20,4,20
1741348422.520353,20,4,20
1741348427.326944,20,5,25
1741348430.9959202,20,5,25
1741348435.953494,20,4,20
1741348441.394016,20,3,15
1741348445.9850445,20,3,15
1741348539.8555937,20,3,15
1741348543.3358903,20,3,15
1741348548.5612674,20,4,20
1741348552.6887348,20,4,20
1741348557.4743357,20,3,15
1741348562.763314,20,2,10
1741348567.5355852,20,2,10
1741348622.3805544,20,2,10
1741348626.5860214,20,2,10
1741348631.4061828,20,3,15
1741348635.1658366,20,3,15
1741348640.113169,20,2,10
1741348644.9015398,20,2,10
1741348711.3231761,20,2,10
1741348715.5674658,20,2,10
1741348720.121156,20,3,15
1741348724.0960233,20,3,15
1741348729.2577956,20,2,10
1741348733.8848486,20,2,10
1741348800.6691985,20,2,10
1741348804.28118,20,2,10
1741348809.4251637,20,3,15
1741348814.2351675,20,3,15
1741348875.5086257,20,3,15
1741348879.2218163,20,3,15
1741348884.5241554,20,4,20
1741348889.5321395,20,4,20
1741348942.4145734,20,4,20
1741348946.0890145,20,4,20
1741348950.8557913,20,5,25
1741348954.3976223,20,5,25
1741348959.57732,20,4,20
1741348964.5656323,20,3,15
1741348969.7795446,20,2,10
1741348973.6385398,20,2,10
1741348981.0084739,20,2,10
1741348986.7513711,20,2,10
1741349054.938646,20,2,10
1741349058.3900123,20,2,10
1741349063.511201,20,3,15
1741349069.1186662,20,3,15
1741349137.6298916,20,3,15
1741349141.8086612,20,3,15
1741349146.4911132,20,4,20
1741349150.9895704,20,4,20
1741349157.5064788,20,3,15
1741349162.2321231,20,3,15
1741349226.4430983,20,3,15
1741349230.2171125,20,3,15
1741349235.8959644,20,4,20
1741349239.6253939,20,4,20
1741349245.4596455,20,3,15
1741349250.3884568,20,3,15
1741349335.1638687,20,3,15
1741349339.3865738,20,3,15
1741349344.2238357,20,4,20
1741349348.4190764,20,4,20
1741349353.789207,20,3,15
1741349358.8195133,20,2,10
1741349363.847209,20,2,10
1741349427.9239357,20,2,10
1741349431.4695916,20,2,10
1741349436.6273258,20,3,15
1741349441.944425,20,3,15
1741349502.3737414,20,3,15
1741349506.7209334,20,3,15
1741349511.7934275,20,4,20
1741349515.490263,20,4,20
1741349521.1285646,20,3,15
1741349526.8451931,20,2,10
1741349531.9922738,20,2,10
1741349598.6631815,20,2,10
1741349602.9015553,20,2,10
1741349608.2129545,20,3,15
1741349611.9241786,20,3,15
1741349617.8233573,20,2,10
1741349622.7392364,20,2,10
1741349686.2431102,20,2,10
1741349690.5492897,20,2,10
1741349695.2191734,20,3,15
1741349700.8674061,20,3,15
1741349776.2134078,20,3,15
1741349780.5141926,20,3,15
1741349785.2793338,20,4,20
1741349791.0327857,20,4,20
1741349846.5171459,20,4,20
1741349850.9095454,20,4,20
1741349855.6576293,20,5,25
1741349860.0013547,20,5,25
1741349865.743936,20,4,20
1741349871.3418965,20,3,15
1741349876.977412,20,2,10
1741349881.9806979,20,2,10
1741349943.0898626,20,2,10
1741349947.2852163,20,2,10
1741349952.1443727,20,3,15
1741349957.7167234,20,3,15
1741350022.0472684,20,3,15
1741350025.8984663,20,3,15
1741350031.060742,20,4,20
1741350036.845801,20,4,20
1741350152.2713568,20,4,20
1741350156.066543,20,4,20
1741350161.1971655,20,5,25
1741350165.5132985,20,5,25
1741350170.4102993,20,4,20
1741350176.1218197,20,3,15
1741350181.1451716,20,3,15
1741350257.2599957,20,3,15
1741350261.1915119,20,3,15
1741350266.3123724,20,4,20
1741350271.1481898,20,4,20
1741350276.3611019,20,3,15
1741350281.9161344,20,2,10
1741350286.8901432,20,2,10
1741350409.8252225,20,2,10
1741350414.164882,20,2,10
1741350418.9799094,20,3,15
1741350424.7324522,20,3,15
1741350527.5629456,20,3,15
1741350531.9409022,20,3,15
1741350537.283646,20,4,20
1741350541.191574,20,4,20
1741350546.9509356,20,3,15
1741350552.7717662,20,2,10
1741350557.900643,20,2,10
1741350647.328585,20,2,10
1741350651.5866094,20,2,10
1741350657.2526536,20,3,15
1741350661.788364,20,3,15
1741350667.1560845,20,2,10
1741350672.4191043,20,2,10
1741350776.785795,20,2,10
1741350781.137816,20,2,10
1741350785.911495,20,3,15
1741350790.3062723,20,3,15
1741350795.8878744,20,2,10
1741350801.4383564,20,1,5
1741350806.4993188,20,1,5
1741350908.3257926,20,1,5
1741350913.0939429,20,1,5
1741350918.549211,20,2,10
1741350922.7107174,20,2,10
1741350931.3063717,20,2,10
1741350937.6117742,20,2,10
1741351014.1059692,20,2,10
1741351018.7044046,20,2,10
1741351023.5990913,20,3,15
1741351029.7075353,20,3,15
1741351090.2479286,20,3,15
1741351094.1662896,20,3,15
1741351099.8658736,20,4,20
1741351106.036678,20,4,20
1741351195.076215,20,4,20
1741351199.4004064,20,4,20
1741351204.9717205,20,5,25
1741351208.7466507,20,5,25
1741351214.5112305,20,4,20
1741351220.6124833,20,3,15
1741351225.827611,20,3,15
1741351305.5776339,20,3,15
1741351310.2579134,20,3,15
1741351315.6051307,20,4,20
1741351320.3113673,20,4,20
1741351326.679542,20,3,15
1741351331.943272,20,3,15
1741351401.6295354,20,3,15
1741351405.8642886,20,3,15
1741351411.4834616,20,4,20
1741351416.5076706,20,4,20
1741351422.3748848,20,3,15
1741351427.730936,20,3,15
1741351534.356798,20,3,15
1741351539.4111602,20,3,15
1741351545.1145933,20,4,20
1741351549.2920182,20,4,20
1741351555.494597,20,3,15
1741351561.6931121,20,2,10
1741351568.4331098,20,1,5
1741351574.0624878,20,1,5
1741351684.6869106,20,1,5
1741351688.7490492,20,1,5
1741351694.4534507,20,2,10
1741351701.6709816,20,2,10
1741351787.2468638,20,2,10
1741351791.3017442,20,2,10
1741351797.1679027,20,3,15
1741351803.3547208,20,3,15
1741351877.5023093,20,3,15
1741351881.7635484,20,3,15
1741351887.3017905,20,4,20
1741351891.9645069,20,4,20
1741351898.5234873,20,3,15
1741351904.0706067,20,3,15
1741352013.2061145,20,3,15
1741352017.5708747,20,3,15
1741352023.1462045,20,4,20
1741352027.859357,20,4,20
1741352034.2062912,20,3,15
1741352039.6742733,20,2,10
1741352045.036425,20,2,10
1741352145.2023017,20,2,10
1741352149.762491,20,2,10
1741352155.2807572,20,3,15
1741352159.3204339,20,3,15
1741352165.484846,20,2,10
1741352170.9661913,20,2,10
1741352238.8434372,20,2,10
1741352243.0221426,20,2,10
1741352248.5995522,20,3,15
1741352254.7691157,20,3,15
1741352367.9851196,20,3,15
1741352372.6303804,20,3,15
1741352377.705171,20,4,20
1741352382.458722,20,4,20
1741352388.4379654,20,3,15
1741352394.4653676,20,2,10
1741352400.0766273,20,2,10
1741352488.9176235,20,2,10
1741352493.3522232,20,2,10
1741352499.488377,20,3,15
1741352504.9855268,20,3,15
1741352511.4683743,20,2,10
1741352515.5670822,20,2,10
1741352521.4319592,20,2,10
1741352531.627906,20,2,10
1741352541.510338,20,2,10
1741352551.9035122,20,2,10
1741352561.8678284,20,2,10
1741352571.8912199,20,2,10
1741352581.8671145,20,2,10
1741352592.0555243,20,2,10
1741352602.114773,20,2,10
1741352612.028558,20,2,10
1741352622.5791495,20,2,10
1741352628.9189584,20,1,5
1741352647.8959851,20,1,5
1741352653.6826289,20,0,0
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;CPU/RAM-Usage (main)</h1>
			<div class='invert_in_dark_mode' id='mainWorkerCPURAM'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1741340003,592.32421875,39.5
1741340003,592.32421875,37.3
1741340003,593.25,36.7
1741340003,593.25,43.2
1741340003,593.25,27.3
1741340003,593.25,36.8
1741340003,593.25,27.3
1741340089,604.546875,40.3
1741340089,604.546875,45.8
1741340089,604.546875,41.1
1741340089,604.546875,46.7
1741340094,604.55078125,41.1
1741340094,604.55078125,45.7
1741340094,604.55078125,39.8
1741340094,604.55078125,48.9
1741340099,604.55078125,40.8
1741340099,604.55078125,42.6
1741340099,604.55078125,40.6
1741340099,604.55078125,50.0
1741340104,604.5703125,41.5
1741340104,604.5703125,43.8
1741340104,604.5703125,39.3
1741340104,604.5703125,46.5
1741340109,604.5703125,41.0
1741340109,604.5703125,42.6
1741340109,604.5703125,38.9
1741340109,604.5703125,42.5
1741340114,604.578125,41.2
1741340114,604.578125,42.6
1741340114,604.578125,40.4
1741340114,604.578125,48.8
1741340120,604.578125,41.2
1741340120,604.578125,31.4
1741340120,604.578125,42.4
1741340120,604.578125,50.0
1741340125,604.578125,40.8
1741340125,604.578125,27.3
1741340125,604.578125,39.6
1741340125,604.578125,47.6
1741340130,604.578125,39.7
1741340130,604.578125,43.4
1741340130,604.578125,42.1
1741340130,604.578125,47.8
1741340135,604.578125,41.2
1741340135,604.578125,31.4
1741340135,604.578125,40.4
1741340135,604.578125,46.7
1741340140,604.578125,40.8
1741340140,604.578125,27.8
1741340140,604.578125,42.9
1741340140,604.578125,31.3
1741340145,604.578125,40.7
1741340145,604.578125,46.7
1741340145,604.578125,42.4
1741340145,604.578125,33.3
1741340150,604.578125,41.3
1741340150,604.578125,30.3
1741340150,604.578125,41.9
1741340150,604.578125,46.9
1741340155,604.578125,40.4
1741340155,604.578125,41.9
1741340155,604.578125,37.4
1741340155,604.578125,46.5
1741340160,604.578125,38.3
1741340160,604.578125,44.7
1741340161,604.578125,37.6
1741340161,604.578125,40.0
1741340165,604.59765625,38.3
1741340165,604.59765625,45.7
1741340165,604.59765625,37.5
1741340165,604.59765625,42.1
1741340171,604.59765625,41.2
1741340171,604.59765625,38.6
1741340171,604.59765625,41.0
1741340171,604.59765625,48.9
1741340176,604.59765625,40.1
1741340176,604.59765625,43.2
1741340176,604.59765625,36.9
1741340176,604.59765625,46.5
1741340181,604.59765625,38.2
1741340181,604.59765625,35.5
1741340181,604.59765625,36.8
1741340181,604.59765625,47.7
1741340186,604.61328125,38.3
1741340186,604.61328125,37.5
1741340186,604.61328125,40.7
1741340186,604.61328125,39.1
1741340191,604.61328125,38.3
1741340191,604.61328125,39.7
1741340191,604.61328125,44.7
1741340191,604.61328125,33.3
1741340197,604.61328125,41.5
1741340197,604.61328125,46.7
1741340197,604.61328125,41.1
1741340197,604.61328125,45.5
1741340202,604.61328125,41.2
1741340202,604.61328125,47.8
1741340202,604.61328125,39.6
1741340202,604.61328125,47.6
1741340207,604.61328125,41.0
1741340207,604.61328125,28.6
1741340207,604.61328125,46.6
1741340207,604.61328125,40.0
1741340212,604.61328125,40.7
1741340212,604.61328125,43.4
1741340212,604.61328125,41.4
1741340212,604.61328125,35.1
1741340217,604.61328125,41.2
1741340217,604.61328125,32.4
1741340217,604.61328125,42.1
1741340218,604.61328125,40.5
1741340223,604.61328125,41.5
1741340223,604.61328125,32.4
1741340223,604.61328125,42.4
1741340223,604.61328125,30.3
1741340228,604.61328125,41.5
1741340228,604.61328125,42.9
1741340228,604.61328125,41.1
1741340228,604.61328125,47.7
1741340235,605.04296875,41.3
1741340235,605.04296875,40.8
1741340235,605.04296875,40.1
1741340235,605.04296875,48.8
1741340244,605.09765625,41.2
1741340244,605.09765625,30.6
1741340244,605.09765625,44.5
1741340244,605.09765625,34.4
1741340253,605.09765625,41.3
1741340253,605.09765625,46.7
1741340253,605.09765625,42.1
1741340253,605.09765625,33.3
1741340262,605.10546875,41.5
1741340262,605.10546875,46.8
1741340262,605.10546875,40.9
1741340262,605.10546875,34.4
1741340272,605.25,41.2
1741340272,605.25,34.3
1741340272,605.25,42.0
1741340272,605.25,50.0
1741340280,605.25,41.5
1741340280,605.25,46.8
1741340280,605.25,41.8
1741340280,605.25,36.4
1741340290,605.38671875,41.4
1741340290,605.45703125,43.5
1741340290,605.45703125,40.4
1741340290,605.45703125,50.0
1741340299,605.45703125,41.4
1741340299,605.45703125,45.5
1741340299,605.45703125,40.4
1741340299,605.45703125,39.6
1741340308,605.47265625,40.1
1741340308,605.47265625,46.7
1741340308,605.47265625,38.3
1741340308,605.47265625,48.8
1741340315,605.47265625,40.0
1741340315,605.47265625,36.5
1741340315,605.47265625,38.9
1741340315,605.47265625,42.9
1741340324,605.47265625,40.1
1741340324,605.47265625,47.7
1741340324,605.47265625,41.3
1741340324,605.47265625,31.2
1741340332,605.60546875,41.5
1741340332,605.60546875,43.8
1741340332,605.60546875,39.8
1741340332,605.60546875,50.0
1741340340,605.60546875,41.2
1741340340,605.60546875,48.9
1741340340,605.60546875,42.1
1741340340,605.60546875,43.6
1741340348,605.60546875,41.2
1741340348,605.60546875,44.7
1741340348,605.60546875,38.9
1741340348,605.60546875,47.7
1741340357,605.78125,41.4
1741340357,605.78125,30.6
1741340357,605.78125,42.9
1741340357,605.78125,43.8
1741340364,605.78125,40.1
1741340364,605.78125,43.5
1741340364,605.78125,37.9
1741340364,605.78125,39.5
1741340372,605.78125,40.5
1741340372,605.78125,37.5
1741340372,605.78125,40.5
1741340372,605.78125,47.7
1741340379,605.78125,41.5
1741340379,605.78125,45.5
1741340379,605.78125,41.9
1741340379,605.78125,46.7
1741340386,605.78125,41.4
1741340386,605.78125,36.8
1741340386,605.78125,40.7
1741340386,605.78125,50.0
1741340393,605.78125,41.4
1741340393,605.78125,43.8
1741340393,605.78125,42.2
1741340393,605.78125,36.4
1741340400,605.78125,41.2
1741340400,605.78125,46.7
1741340400,605.78125,42.8
1741340400,605.78125,33.3
1741340407,605.78125,39.4
1741340407,605.78125,44.2
1741340407,605.78125,36.4
1741340407,605.78125,43.9
1741340414,605.78125,41.0
1741340414,605.78125,45.5
1741340414,605.78125,40.8
1741340414,605.78125,40.5
1741340422,605.78125,41.4
1741340422,605.78125,46.7
1741340422,605.78125,37.8
1741340422,605.78125,50.0
1741340429,606.34375,41.4
1741340429,606.34375,30.3
1741340429,606.34375,42.2
1741340429,606.34375,47.4
1741340437,606.390625,41.5
1741340437,606.390625,45.7
1741340437,606.390625,41.7
1741340437,606.390625,38.9
1741340444,606.390625,41.4
1741340444,606.390625,32.4
1741340444,606.390625,42.3
1741340444,606.390625,42.1
1741340450,606.390625,41.1
1741340450,606.390625,44.4
1741340450,606.390625,40.3
1741340450,606.390625,34.4
1741340456,606.390625,40.4
1741340456,606.390625,46.7
1741340456,606.390625,40.8
1741340456,606.390625,47.6
1741340463,606.390625,41.5
1741340463,606.390625,45.7
1741340463,606.390625,39.4
1741340463,606.390625,43.6
1741340469,606.390625,40.9
1741340469,606.390625,39.5
1741340470,606.390625,42.5
1741340470,606.390625,34.4
1741340476,606.390625,41.3
1741340476,606.390625,46.5
1741340476,606.390625,40.7
1741340476,606.390625,45.7
1741340483,606.390625,41.0
1741340483,606.390625,40.8
1741340483,606.390625,40.1
1741340483,606.390625,33.3
1741340489,606.39453125,41.4
1741340489,606.39453125,39.6
1741340489,606.39453125,43.9
1741340489,606.39453125,35.3
1741340496,606.46484375,40.8
1741340496,606.46484375,45.5
1741340496,606.46484375,38.9
1741340496,606.46484375,44.4
1741340503,606.46484375,40.5
1741340503,606.46484375,26.5
1741340503,606.46484375,43.4
1741340503,606.46484375,31.3
1741340509,606.46484375,41.4
1741340509,606.46484375,45.7
1741340509,606.46484375,42.9
1741340509,606.46484375,33.3
1741340515,606.46484375,41.2
1741340515,606.46484375,47.6
1741340515,606.46484375,41.7
1741340515,606.46484375,31.2
1741340521,606.46484375,41.4
1741340521,606.46484375,28.1
1741340521,606.46484375,43.7
1741340521,606.46484375,33.3
1741340527,606.46484375,41.5
1741340527,606.46484375,47.7
1741340527,606.46484375,42.0
1741340527,606.46484375,33.3
1741340534,606.46484375,41.2
1741340534,606.46484375,40.9
1741340534,606.46484375,41.2
1741340534,606.46484375,47.6
1741340541,606.46484375,41.4
1741340541,606.46484375,48.9
1741340541,606.46484375,41.6
1741340541,606.46484375,32.3
1741340547,606.46484375,40.9
1741340547,606.46484375,32.4
1741340547,606.46484375,41.0
1741340547,606.46484375,50.0
1741340553,606.46484375,40.9
1741340553,606.46484375,34.3
1741340553,606.46484375,43.4
1741340553,606.46484375,33.3
1741340560,606.46875,41.4
1741340560,606.46875,46.8
1741340560,606.46875,42.1
1741340560,606.46875,34.4
1741340566,606.47265625,41.3
1741340566,606.47265625,48.9
1741340566,606.47265625,41.1
1741340566,606.47265625,32.4
1741340571,606.47265625,41.3
1741340571,606.47265625,30.6
1741340571,606.47265625,41.4
1741340571,606.47265625,47.6
1741340577,606.47265625,40.7
1741340577,606.47265625,48.9
1741340577,606.47265625,41.3
1741340577,606.47265625,36.4
1741340582,606.47265625,40.9
1741340582,606.47265625,30.3
1741340582,606.47265625,43.1
1741340582,606.47265625,36.4
1741340588,606.47265625,41.5
1741340588,606.47265625,46.7
1741340588,606.47265625,42.4
1741340588,606.47265625,34.4
1741340594,606.52734375,41.4
1741340594,606.52734375,46.5
1741340594,606.52734375,42.9
1741340594,606.52734375,43.9
1741340600,606.53515625,41.4
1741340600,606.53515625,38.9
1741340600,606.53515625,44.1
1741340600,606.53515625,34.4
1741340606,606.53515625,41.4
1741340606,606.53515625,46.7
1741340606,606.53515625,40.0
1741340606,606.53515625,46.9
1741340611,606.53515625,41.2
1741340611,606.53515625,30.3
1741340611,606.53515625,41.0
1741340611,606.53515625,31.2
1741340617,606.53515625,39.9
1741340617,606.53515625,47.8
1741340617,606.53515625,38.9
1741340617,606.53515625,31.3
1741340623,606.828125,39.3
1741340623,606.828125,31.4
1741340623,606.828125,39.1
1741340623,606.828125,48.9
1741340628,606.828125,38.3
1741340628,606.828125,42.2
1741340628,606.828125,37.3
1741340628,606.828125,29.0
1741340633,606.828125,37.9
1741340633,606.828125,42.0
1741340633,606.828125,37.1
1741340633,606.828125,45.5
1741340639,606.828125,39.4
1741340639,606.828125,45.7
1741340639,606.828125,42.7
1741340639,606.828125,34.4
1741340644,606.828125,41.3
1741340644,606.828125,35.3
1741340644,606.828125,42.7
1741340644,606.828125,31.3
1741340649,606.828125,41.4
1741340649,606.828125,47.7
1741340649,606.828125,37.4
1741340649,606.828125,51.2
1741340655,606.828125,41.5
1741340655,606.828125,31.4
1741340655,606.828125,41.7
1741340655,606.828125,50.0
1741340660,606.828125,41.3
1741340660,606.828125,38.2
1741340660,606.828125,42.0
1741340660,606.828125,34.4
1741340666,606.90234375,41.3
1741340666,606.90234375,46.9
1741340666,606.90234375,41.4
1741340666,606.90234375,33.3
1741340673,606.90234375,41.1
1741340673,606.90234375,41.0
1741340673,606.90234375,41.7
1741340673,606.90234375,41.0
1741340678,606.97265625,40.8
1741340678,606.97265625,48.5
1741340678,606.97265625,40.1
1741340678,606.97265625,48.8
1741340682,606.97265625,40.1
1741340682,606.97265625,47.7
1741340682,606.97265625,39.4
1741340682,606.97265625,29.0
1741340687,606.97265625,38.3
1741340687,606.97265625,45.5
1741340687,606.97265625,39.2
1741340687,606.97265625,33.9
1741340691,606.97265625,37.9
1741340691,606.97265625,41.3
1741340691,606.97265625,41.1
1741340691,606.97265625,30.3
1741340695,606.97265625,38.5
1741340695,606.97265625,45.5
1741340695,606.97265625,38.1
1741340695,606.97265625,47.6
1741340699,606.97265625,40.2
1741340699,606.97265625,47.7
1741340699,606.97265625,40.6
1741340699,606.97265625,30.3
1741340704,606.97265625,41.0
1741340704,606.97265625,32.4
1741340704,606.97265625,41.3
1741340704,606.97265625,50.0
1741340708,606.97265625,40.8
1741340708,606.97265625,44.2
1741340708,606.97265625,39.0
1741340708,606.97265625,48.8
1741340712,606.97265625,40.0
1741340712,606.97265625,30.3
1741340712,606.97265625,40.0
1741340712,606.97265625,48.8
1741340717,606.97265625,40.1
1741340717,606.97265625,40.5
1741340717,606.97265625,40.4
1741340717,606.97265625,47.6
1741340721,606.97265625,41.0
1741340721,606.97265625,41.0
1741340721,606.97265625,40.9
1741340721,606.97265625,48.8
1741340725,606.97265625,40.9
1741340725,606.97265625,33.3
1741340725,606.97265625,41.4
1741340725,606.97265625,50.0
1741340730,607.02734375,40.4
1741340730,607.02734375,37.8
1741340730,607.02734375,40.4
1741340730,607.02734375,31.2
1741340734,607.0859375,40.7
1741340734,607.0859375,42.9
1741340734,607.0859375,39.7
1741340734,607.0859375,36.4
1741340738,607.0859375,40.5
1741340738,607.0859375,33.3
1741340738,607.0859375,40.4
1741340738,607.0859375,41.7
1741340743,607.0859375,39.2
1741340743,607.0859375,29.4
1741340743,607.0859375,39.0
1741340743,607.0859375,47.7
1741340748,607.2421875,39.7
1741340748,607.2421875,29.4
1741340748,607.2421875,42.2
1741340748,607.2421875,48.8
1741340752,607.2421875,41.0
1741340752,607.2421875,47.7
1741340752,607.2421875,39.8
1741340752,607.2421875,47.6
1741340756,607.2421875,41.0
1741340756,607.2421875,42.9
1741340756,607.2421875,41.1
1741340756,607.2421875,35.3
1741340760,607.44140625,41.1
1741340760,607.44140625,31.4
1741340760,607.44140625,43.5
1741340760,607.44140625,30.3
1741340764,607.44140625,41.0
1741340764,607.44140625,45.5
1741340764,607.44140625,41.1
1741340764,607.44140625,31.3
1741340768,607.44140625,40.8
1741340768,607.44140625,40.0
1741340768,607.44140625,39.7
1741340768,607.44140625,36.4
1741340772,607.44140625,40.5
1741340772,607.44140625,46.7
1741340772,607.44140625,39.7
1741340772,607.44140625,50.0
1741340776,607.44140625,39.4
1741340776,607.44140625,46.5
1741340776,607.44140625,39.9
1741340776,607.44140625,47.6
1741340780,607.44140625,40.6
1741340780,607.44140625,36.2
1741340780,607.44140625,39.5
1741340780,607.44140625,48.8
1741340784,607.44140625,40.5
1741340784,607.44140625,47.7
1741340784,607.44140625,40.3
1741340784,607.44140625,48.8
1741340788,607.4453125,41.0
1741340788,607.4453125,46.7
1741340788,607.4453125,41.4
1741340788,607.4453125,33.3
1741340793,607.4453125,41.0
1741340793,607.4453125,37.8
1741340793,607.4453125,40.9
1741340793,607.4453125,50.0
1741340796,607.4453125,40.8
1741340796,607.4453125,32.4
1741340796,607.4453125,40.3
1741340796,607.4453125,47.7
1741340800,607.4453125,41.0
1741340800,607.4453125,30.3
1741340800,607.4453125,40.7
1741340800,607.4453125,46.5
1741340804,607.4453125,39.9
1741340804,607.4453125,30.3
1741340804,607.4453125,38.8
1741340804,607.4453125,48.8
1741340808,607.4453125,37.9
1741340808,607.4453125,31.4
1741340808,607.4453125,38.8
1741340808,607.4453125,39.2
1741340812,607.4453125,40.2
1741340812,607.4453125,30.6
1741340812,607.4453125,42.4
1741340812,607.4453125,48.8
1741340817,607.4453125,41.0
1741340817,607.4453125,34.3
1741340817,607.4453125,41.3
1741340817,607.4453125,31.2
1741340820,607.4453125,40.4
1741340820,607.4453125,46.7
1741340820,607.4453125,38.0
1741340820,607.4453125,50.0
1741340824,607.4453125,40.4
1741340824,607.4453125,33.3
1741340824,607.4453125,40.9
1741340824,607.4453125,48.8
1741340829,607.4453125,41.0
1741340829,607.4453125,47.8
1741340829,607.4453125,40.6
1741340829,607.4453125,31.3
1741340833,607.4453125,39.8
1741340833,607.4453125,42.1
1741340833,607.4453125,40.6
1741340833,607.4453125,44.7
1741340837,607.4453125,41.0
1741340837,607.4453125,34.3
1741340837,607.4453125,40.4
1741340837,607.4453125,47.5
1741340841,607.4453125,40.2
1741340841,607.4453125,32.4
1741340841,607.4453125,42.1
1741340841,607.4453125,33.3
1741340844,607.4453125,39.1
1741340844,607.4453125,30.3
1741340844,607.4453125,41.5
1741340844,607.4453125,25.7
1741340849,607.4453125,38.4
1741340849,607.4453125,45.5
1741340849,607.4453125,37.0
1741340849,607.4453125,47.6
1741340853,607.4453125,38.1
1741340853,607.4453125,29.4
1741340853,607.4453125,37.6
1741340853,607.4453125,45.2
1741340857,607.4453125,37.3
1741340857,607.4453125,29.4
1741340857,607.4453125,37.0
1741340857,607.4453125,43.9
1741340861,607.4453125,36.9
1741340861,607.4453125,34.5
1741340861,607.4453125,36.8
1741340861,607.4453125,28.1
1741340865,607.4453125,37.8
1741340865,607.4453125,33.3
1741340865,607.4453125,40.3
1741340865,607.4453125,50.0
1741340868,607.4453125,40.4
1741340868,607.4453125,28.1
1741340868,607.4453125,40.1
1741340868,607.4453125,51.2
1741340872,607.4453125,41.0
1741340872,607.4453125,30.3
1741340872,607.4453125,43.2
1741340872,607.4453125,42.3
1741340877,607.4453125,40.3
1741340877,607.4453125,46.7
1741340877,607.4453125,38.1
1741340877,607.4453125,50.0
1741340880,607.4453125,41.0
1741340880,607.4453125,47.7
1741340880,607.4453125,39.3
1741340880,607.4453125,47.6
1741340884,607.4453125,40.4
1741340884,607.4453125,32.4
1741340884,607.4453125,39.1
1741340884,607.4453125,47.6
1741340888,607.4453125,39.7
1741340888,607.4453125,42.2
1741340888,607.4453125,41.1
1741340888,607.4453125,32.4
1741340892,607.4453125,37.1
1741340892,607.4453125,36.5
1741340892,607.4453125,37.2
1741340892,607.4453125,33.3
1741340896,607.4453125,36.8
1741340896,607.4453125,25.0
1741340896,607.4453125,38.3
1741340897,607.4453125,42.2
1741340900,607.4453125,36.7
1741340900,607.4453125,42.2
1741340900,607.4453125,39.0
1741340900,607.4453125,30.3
1741340905,607.4453125,37.0
1741340905,607.4453125,27.8
1741340905,607.4453125,37.6
1741340905,607.4453125,27.3
1741340909,607.4453125,36.7
1741340909,607.4453125,37.4
1741340909,607.4453125,36.1
1741340909,607.4453125,42.9
1741340913,607.4453125,38.9
1741340913,607.4453125,36.1
1741340913,607.4453125,40.9
1741340913,607.4453125,48.8
1741340916,607.4453125,40.5
1741340916,607.4453125,39.6
1741340917,607.4453125,41.1
1741340917,607.4453125,50.0
1741340921,607.4453125,41.0
1741340921,607.4453125,29.4
1741340921,607.4453125,41.4
1741340921,607.4453125,31.2
1741340925,607.4453125,41.0
1741340925,607.4453125,44.4
1741340925,607.4453125,41.3
1741340925,607.4453125,32.3
1741340929,607.4453125,40.9
1741340929,607.4453125,43.1
1741340929,607.4453125,39.0
1741340929,607.4453125,48.8
1741340933,607.4453125,40.8
1741340933,607.4453125,40.4
1741340933,607.4453125,41.3
1741340933,607.4453125,33.3
1741340938,607.4453125,40.8
1741340938,607.4453125,47.8
1741340938,607.4453125,41.4
1741340938,607.4453125,33.3
1741340942,607.4453125,41.0
1741340942,607.4453125,33.3
1741340942,607.4453125,41.7
1741340942,607.4453125,33.3
1741340945,607.4453125,41.0
1741340945,607.4453125,35.1
1741340946,607.4453125,41.6
1741340946,607.4453125,48.8
1741340949,607.4453125,39.4
1741340949,607.4453125,27.3
1741340949,607.4453125,40.1
1741340949,607.4453125,31.3
1741340953,607.4453125,39.1
1741340953,607.4453125,47.7
1741340953,607.4453125,39.1
1741340953,607.4453125,48.8
1741340956,607.4453125,40.8
1741340956,607.4453125,41.6
1741340956,607.4453125,41.5
1741340956,607.4453125,35.3
1741340960,607.4453125,41.0
1741340960,607.4453125,48.9
1741340960,607.4453125,41.2
1741340960,607.4453125,33.3
1741340964,607.4453125,40.5
1741340964,607.4453125,45.7
1741340964,607.4453125,42.2
1741340964,607.4453125,31.3
1741340968,607.4453125,40.9
1741340968,607.4453125,45.5
1741340968,607.4453125,41.4
1741340968,607.4453125,31.3
1741340972,607.4453125,40.3
1741340972,607.4453125,44.4
1741340972,607.4453125,41.1
1741340972,607.4453125,33.3
1741340975,607.4453125,40.9
1741340975,607.4453125,30.3
1741340975,607.4453125,41.4
1741340975,607.4453125,43.9
1741340979,607.4453125,40.8
1741340979,607.4453125,32.4
1741340979,607.4453125,41.4
1741340979,607.4453125,47.7
1741340983,607.4453125,40.5
1741340983,607.4453125,46.7
1741340983,607.4453125,41.4
1741340983,607.4453125,34.4
1741340987,607.4453125,40.9
1741340987,607.4453125,31.4
1741340987,607.4453125,42.2
1741340987,607.4453125,47.6
1741340990,607.4453125,40.8
1741340990,607.4453125,46.7
1741340990,607.4453125,41.4
1741340990,607.4453125,29.0
1741340994,607.4453125,40.8
1741340994,607.4453125,47.7
1741340994,607.4453125,40.8
1741340994,607.4453125,31.3
1741340998,607.4453125,40.3
1741340998,607.4453125,45.7
1741340998,607.4453125,40.4
1741340998,607.4453125,45.7
1741341001,607.4453125,41.0
1741341001,607.4453125,47.7
1741341001,607.4453125,40.4
1741341001,607.4453125,48.9
1741341005,607.4453125,40.6
1741341005,607.4453125,30.3
1741341005,607.4453125,42.5
1741341005,607.4453125,32.3
1741341010,607.5625,40.1
1741341010,607.5625,46.7
1741341010,607.5625,40.5
1741341010,607.5625,31.3
1741341013,607.5625,40.0
1741341013,607.5625,46.7
1741341013,607.5625,40.9
1741341013,607.5625,32.3
1741341016,607.5625,39.1
1741341016,607.5625,43.2
1741341016,607.5625,38.8
1741341016,607.5625,29.0
1741341020,607.5625,40.9
1741341020,607.5625,31.4
1741341020,607.5625,42.2
1741341020,607.5625,36.4
1741341023,607.5625,40.2
1741341023,607.5625,39.5
1741341023,607.5625,40.8
1741341023,607.5625,50.0
1741341027,607.5703125,41.0
1741341027,607.5703125,28.6
1741341027,607.5703125,43.3
1741341027,607.5703125,33.3
1741341030,607.5703125,40.2
1741341030,607.5703125,45.7
1741341030,607.5703125,39.1
1741341030,607.5703125,45.5
1741341540,667.046875,41.5
1741341540,667.046875,48.9
1741341540,667.046875,40.5
1741341540,667.046875,50.0
1741341967,672.29296875,41.3
1741341967,672.29296875,36.1
1741341967,672.29296875,42.1
1741341967,672.29296875,31.2
1741342713,680.97265625,41.5
1741342713,680.97265625,47.8
1741342713,680.97265625,42.0
1741342713,680.97265625,36.4
1741343613,683.62109375,41.5
1741343613,683.62109375,42.9
1741343613,683.62109375,40.6
1741343613,683.62109375,30.3
1741344520,687.80859375,41.3
1741344520,687.80859375,39.6
1741344520,687.80859375,41.5
1741344520,687.80859375,30.3
1741345380,691.19921875,41.2
1741345380,691.19921875,44.0
1741345380,691.19921875,41.5
1741345380,691.19921875,44.4
1741346345,712.01171875,41.3
1741346345,712.01171875,44.7
1741346345,712.01171875,40.6
1741346345,712.01171875,50.0
1741347535,703.484375,41.4
1741347535,703.484375,38.7
1741347535,703.484375,40.3
1741347535,703.484375,48.8
1741348975,752.67578125,41.3
1741348975,752.67578125,40.4
1741348975,752.67578125,41.2
1741348975,752.67578125,46.5
1741350924,719.00390625,41.2
1741350924,719.00390625,46.7
1741350924,719.00390625,40.0
1741350924,719.00390625,48.8
1741352516,779.27734375,41.4
1741352516,779.27734375,40.7
1741352654,779.6015625,41.1
1741352654,779.6015625,32.4
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
	</body>
</html>