Skipped tabs:
<!DOCTYPE html>
<html lang='en'>
<head>
<meta charset='UTF-8'>
<meta name='viewport' content='width=device-width, initial-scale=1.0'>
<title>Exported »s3811141/example_network/26« 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 = [
"VAL_ACCURACY",
"VAL_LOSS",
"RAM_USAGE",
"RUNTIME"
];
var result_min_max = [
"max",
"min",
"min",
"min"
];
var pareto_front_data = {
"VAL_ACCURACY": {
"VAL_LOSS": {
"param_dicts": [
{
"width": 40,
"height": 46,
"dense": 3,
"dense_units": 56,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004838847274523303,
"activation": "leaky_relu"
},
{
"width": 56,
"height": 25,
"dense": 3,
"dense_units": 44,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0046283208835446385,
"activation": "leaky_relu"
},
{
"width": 56,
"height": 41,
"dense": 3,
"dense_units": 52,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004784301846857223,
"activation": "leaky_relu"
},
{
"width": 54,
"height": 57,
"dense": 2,
"dense_units": 51,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0031858521965547437,
"activation": "leaky_relu"
},
{
"width": 52,
"height": 65,
"dense": 3,
"dense_units": 43,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0043732064484720565,
"activation": "leaky_relu"
},
{
"width": 77,
"height": 42,
"dense": 4,
"dense_units": 73,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 8.836921762001167e-5,
"activation": "leaky_relu"
},
{
"width": 28,
"height": 48,
"dense": 3,
"dense_units": 46,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.007231136800486992,
"activation": "gelu"
},
{
"width": 41,
"height": 70,
"dense": 2,
"dense_units": 70,
"epochs": 29,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0006654836617234314,
"activation": "leaky_relu"
},
{
"width": 47,
"height": 33,
"dense": 2,
"dense_units": 68,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0016267330589537434,
"activation": "leaky_relu"
},
{
"width": 57,
"height": 55,
"dense": 4,
"dense_units": 73,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.004069076058018725,
"activation": "leaky_relu"
},
{
"width": 43,
"height": 35,
"dense": 2,
"dense_units": 77,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0036703031997875313,
"activation": "leaky_relu"
},
{
"width": 46,
"height": 32,
"dense": 3,
"dense_units": 62,
"epochs": 29,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.003165724400799753,
"activation": "leaky_relu"
},
{
"width": 37,
"height": 43,
"dense": 2,
"dense_units": 46,
"epochs": 35,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0061902924505884424,
"activation": "leaky_relu"
},
{
"width": 60,
"height": 66,
"dense": 3,
"dense_units": 68,
"epochs": 30,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.00251796418888959,
"activation": "leaky_relu"
},
{
"width": 49,
"height": 70,
"dense": 3,
"dense_units": 67,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0005335736407340932,
"activation": "leaky_relu"
},
{
"width": 42,
"height": 38,
"dense": 3,
"dense_units": 46,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0047695016504104865,
"activation": "gelu"
},
{
"width": 49,
"height": 57,
"dense": 2,
"dense_units": 79,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.002226305358795052,
"activation": "leaky_relu"
},
{
"width": 22,
"height": 34,
"dense": 3,
"dense_units": 43,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004928226567396498,
"activation": "gelu"
},
{
"width": 44,
"height": 33,
"dense": 1,
"dense_units": 71,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.002426036716896395,
"activation": "leaky_relu"
},
{
"width": 47,
"height": 38,
"dense": 3,
"dense_units": 49,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004624490100799419,
"activation": "gelu"
},
{
"width": 35,
"height": 46,
"dense": 3,
"dense_units": 47,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.007176118842045531,
"activation": "gelu"
},
{
"width": 58,
"height": 25,
"dense": 2,
"dense_units": 47,
"epochs": 30,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.0033630476860852286,
"activation": "leaky_relu"
},
{
"width": 65,
"height": 44,
"dense": 4,
"dense_units": 30,
"epochs": 34,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.004247317345903225,
"activation": "leaky_relu"
},
{
"width": 25,
"height": 56,
"dense": 3,
"dense_units": 53,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0044565062828178,
"activation": "gelu"
},
{
"width": 28,
"height": 55,
"dense": 4,
"dense_units": 84,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.002368284631088683,
"activation": "gelu"
},
{
"width": 70,
"height": 36,
"dense": 3,
"dense_units": 54,
"epochs": 32,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.003092110169932974,
"activation": "leaky_relu"
},
{
"width": 60,
"height": 52,
"dense": 3,
"dense_units": 71,
"epochs": 29,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 75,
"height": 41,
"dense": 3,
"dense_units": 54,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004738219261158687,
"activation": "gelu"
},
{
"width": 36,
"height": 45,
"dense": 4,
"dense_units": 40,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.002303193903256024,
"activation": "gelu"
},
{
"width": 54,
"height": 52,
"dense": 2,
"dense_units": 69,
"epochs": 26,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.002895459887507561,
"activation": "leaky_relu"
},
{
"width": 53,
"height": 34,
"dense": 2,
"dense_units": 46,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0019149887277780434,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 42,
"dense": 3,
"dense_units": 43,
"epochs": 33,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.0022883364947674616,
"activation": "leaky_relu"
},
{
"width": 60,
"height": 23,
"dense": 2,
"dense_units": 30,
"epochs": 32,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.0030522781022018254,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 37,
"dense": 4,
"dense_units": 64,
"epochs": 28,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.0011005611125911006,
"activation": "leaky_relu"
},
{
"width": 50,
"height": 49,
"dense": 2,
"dense_units": 62,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004493300563713241,
"activation": "gelu"
},
{
"width": 65,
"height": 41,
"dense": 2,
"dense_units": 63,
"epochs": 32,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.0014745287931809405,
"activation": "leaky_relu"
},
{
"width": 58,
"height": 60,
"dense": 3,
"dense_units": 42,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0013352372067900492,
"activation": "gelu"
},
{
"width": 60,
"height": 36,
"dense": 1,
"dense_units": 45,
"epochs": 30,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.0012513550971248,
"activation": "leaky_relu"
},
{
"width": 71,
"height": 55,
"dense": 2,
"dense_units": 52,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0048324724723608605,
"activation": "gelu"
},
{
"width": 62,
"height": 40,
"dense": 4,
"dense_units": 22,
"epochs": 33,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.0026411140465690767,
"activation": "leaky_relu"
},
{
"width": 48,
"height": 22,
"dense": 3,
"dense_units": 46,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004439662221574226,
"activation": "gelu"
},
{
"width": 64,
"height": 77,
"dense": 3,
"dense_units": 70,
"epochs": 29,
"conv": 3,
"conv_filters": 12,
"learning_rate": 0.0007812342202058518,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 26,
"dense": 2,
"dense_units": 60,
"epochs": 33,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.0017119467044477144,
"activation": "leaky_relu"
},
{
"width": 61,
"height": 28,
"dense": 2,
"dense_units": 66,
"epochs": 35,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.008670305086116561,
"activation": "leaky_relu"
},
{
"width": 65,
"height": 20,
"dense": 3,
"dense_units": 39,
"epochs": 28,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.001656122262485875,
"activation": "leaky_relu"
},
{
"width": 55,
"height": 46,
"dense": 3,
"dense_units": 58,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004990130922980387,
"activation": "gelu"
},
{
"width": 36,
"height": 59,
"dense": 3,
"dense_units": 51,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004689510156153165,
"activation": "gelu"
},
{
"width": 63,
"height": 23,
"dense": 2,
"dense_units": 63,
"epochs": 33,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.005653528959765323,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 64,
"dense": 1,
"dense_units": 78,
"epochs": 29,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.0008408318241748263,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 25,
"dense": 2,
"dense_units": 52,
"epochs": 33,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.0018777767535522792,
"activation": "leaky_relu"
},
{
"width": 65,
"height": 42,
"dense": 3,
"dense_units": 57,
"epochs": 34,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.00547670966225815,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 56,
"dense": 2,
"dense_units": 29,
"epochs": 35,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.0018911295558970112,
"activation": "leaky_relu"
},
{
"width": 69,
"height": 23,
"dense": 2,
"dense_units": 20,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0060701932160463525,
"activation": "gelu"
},
{
"width": 66,
"height": 27,
"dense": 4,
"dense_units": 45,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.005763571513435558,
"activation": "gelu"
},
{
"width": 64,
"height": 29,
"dense": 2,
"dense_units": 46,
"epochs": 33,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.002981235693575338,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 32,
"dense": 5,
"dense_units": 48,
"epochs": 34,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.004618843592830776,
"activation": "leaky_relu"
},
{
"width": 65,
"height": 54,
"dense": 3,
"dense_units": 40,
"epochs": 34,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.00550482151785651,
"activation": "leaky_relu"
},
{
"width": 58,
"height": 49,
"dense": 3,
"dense_units": 30,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0010029183148310373,
"activation": "gelu"
},
{
"width": 50,
"height": 23,
"dense": 1,
"dense_units": 48,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0,
"activation": "gelu"
},
{
"width": 41,
"height": 50,
"dense": 2,
"dense_units": 55,
"epochs": 31,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.010415252706426972,
"activation": "gelu"
},
{
"width": 65,
"height": 61,
"dense": 1,
"dense_units": 84,
"epochs": 36,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.005835519663532977,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 66,
"dense": 1,
"dense_units": 68,
"epochs": 28,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.0014260297499298896,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 47,
"dense": 2,
"dense_units": 25,
"epochs": 33,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.002782261622315471,
"activation": "leaky_relu"
},
{
"width": 46,
"height": 34,
"dense": 2,
"dense_units": 64,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.0030716326724544046,
"activation": "leaky_relu"
},
{
"width": 47,
"height": 24,
"dense": 2,
"dense_units": 58,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.005217102184215428,
"activation": "gelu"
},
{
"width": 65,
"height": 74,
"dense": 2,
"dense_units": 82,
"epochs": 27,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 67,
"dense": 2,
"dense_units": 75,
"epochs": 27,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.0018272626879117767,
"activation": "leaky_relu"
},
{
"width": 62,
"height": 77,
"dense": 1,
"dense_units": 84,
"epochs": 32,
"conv": 3,
"conv_filters": 12,
"learning_rate": 0.0038491834378491696,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 72,
"dense": 3,
"dense_units": 28,
"epochs": 31,
"conv": 3,
"conv_filters": 12,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 32,
"dense": 2,
"dense_units": 15,
"epochs": 35,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.003821812853893639,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 41,
"dense": 2,
"dense_units": 22,
"epochs": 32,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.004191323145051356,
"activation": "leaky_relu"
},
{
"width": 61,
"height": 28,
"dense": 2,
"dense_units": 54,
"epochs": 34,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.0012448757434653768,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 64,
"dense": 4,
"dense_units": 50,
"epochs": 32,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.0018366061981497232,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 48,
"dense": 2,
"dense_units": 81,
"epochs": 32,
"conv": 3,
"conv_filters": 12,
"learning_rate": 0.0011994018201149986,
"activation": "leaky_relu"
},
{
"width": 76,
"height": 43,
"dense": 3,
"dense_units": 37,
"epochs": 35,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.005292210751632817,
"activation": "gelu"
},
{
"width": 66,
"height": 44,
"dense": 7,
"dense_units": 36,
"epochs": 33,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 62,
"height": 63,
"dense": 3,
"dense_units": 32,
"epochs": 34,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.003273928649254797,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 67,
"dense": 4,
"dense_units": 58,
"epochs": 34,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.0021723958733533585,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 62,
"dense": 3,
"dense_units": 80,
"epochs": 33,
"conv": 3,
"conv_filters": 13,
"learning_rate": 7.943832243477618e-5,
"activation": "leaky_relu"
},
{
"width": 67,
"height": 41,
"dense": 1,
"dense_units": 107,
"epochs": 31,
"conv": 4,
"conv_filters": 12,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 65,
"height": 47,
"dense": 3,
"dense_units": 49,
"epochs": 34,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.004550923094273234,
"activation": "leaky_relu"
},
{
"width": 67,
"height": 52,
"dense": 4,
"dense_units": 54,
"epochs": 29,
"conv": 4,
"conv_filters": 12,
"learning_rate": 0.008061990359811344,
"activation": "leaky_relu"
},
{
"width": 65,
"height": 56,
"dense": 2,
"dense_units": 43,
"epochs": 35,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.0034793276474212207,
"activation": "leaky_relu"
},
{
"width": 65,
"height": 70,
"dense": 3,
"dense_units": 84,
"epochs": 34,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.0038697949331966425,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 56,
"dense": 3,
"dense_units": 53,
"epochs": 28,
"conv": 4,
"conv_filters": 11,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 65,
"height": 36,
"dense": 3,
"dense_units": 70,
"epochs": 34,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.002597766777582579,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 67,
"dense": 2,
"dense_units": 65,
"epochs": 36,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.0036730740031982448,
"activation": "leaky_relu"
},
{
"width": 65,
"height": 77,
"dense": 3,
"dense_units": 27,
"epochs": 31,
"conv": 4,
"conv_filters": 12,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 55,
"dense": 4,
"dense_units": 62,
"epochs": 34,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.0013660495840690766,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 46,
"dense": 1,
"dense_units": 60,
"epochs": 40,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.004927730728152719,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 37,
"dense": 3,
"dense_units": 43,
"epochs": 35,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0.0005868002031811435,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 74,
"dense": 7,
"dense_units": 31,
"epochs": 40,
"conv": 4,
"conv_filters": 26,
"learning_rate": 0.002041271269276164,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 49,
"dense": 3,
"dense_units": 45,
"epochs": 40,
"conv": 4,
"conv_filters": 14,
"learning_rate": 0.0007086930041774154,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 56,
"dense": 3,
"dense_units": 84,
"epochs": 40,
"conv": 4,
"conv_filters": 13,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 66,
"dense": 1,
"dense_units": 50,
"epochs": 40,
"conv": 4,
"conv_filters": 14,
"learning_rate": 0,
"activation": "leaky_relu"
}
],
"means": {
"VAL_ACCURACY": [
0.795817633892026,
0.7874580757564156,
0.7964910327152337,
0.7889514507383977,
0.7793587967238257,
0.7704131108513104,
0.7831160746428529,
0.7761625875622009,
0.797191457684967,
0.779812654079475,
0.7869901249427833,
0.7911086836054982,
0.7801500046914438,
0.7754624994811858,
0.7812826119797698,
0.7855137014323698,
0.7810927295093079,
0.7794544478281824,
0.7929396332011411,
0.7877127738828066,
0.7826551174725771,
0.7830432535796072,
0.7478202323440903,
0.7783262718844823,
0.7318203302358122,
0.7845003824334464,
0.7782251143973699,
0.7699926840654762,
0.775261841595712,
0.792562977558349,
0.7852901468567524,
0.778002778417775,
0.7498043930340734,
0.7716834345602817,
0.7802480805259726,
0.7768259651935512,
0.7677656790250369,
0.7808038945230924,
0.7677361337659188,
0.7307855508958516,
0.7764288802329432,
0.7467452913402255,
0.7780020800112022,
0.7634292419272961,
0.7426364350263885,
0.7815610310713782,
0.7813369883541339,
0.774141401148774,
0.7518281250320176,
0.7797320828998867,
0.7793853729807092,
0.7354146835780959,
0.7144006944783535,
0.7693880327611629,
0.7782506970620369,
0.7687026277013247,
0.765913962589889,
0.7522426205150572,
0.7731253625212541,
0.7741521939129021,
0.6866554887436859,
0.7665811154048051,
0.7235713582201817,
0.7948732989028087,
0.7808266197920977,
0.7410656408584497,
0.7602861889049026,
0.7136144662938325,
0.7194927968877409,
0.6997556734246938,
0.7311306064018412,
0.779226734908421,
0.7504102094073408,
0.7455940925168618,
0.7460252185280596,
0.7147090111712721,
0.7467900867417758,
0.7611172397530892,
0.7373236052437389,
0.6451510023959472,
0.7624399315062191,
0.7457077407540953,
0.7445192529508847,
0.7016949473975411,
0.7486928111162556,
0.7505852317771062,
0.7214363166645129,
0.6943221110596323,
0.7518130791892781,
0.6540473502898367,
0.7506917885785577,
0.4905281987603195,
0.6557361780249955,
0.6234432977136756,
0.6387476410573283
],
"VAL_LOSS": [
1137695846973.7427,
-54595963625.72566,
-51898949557.627884,
9931200850.504562,
114186729831.53073,
107586985288.81833,
1596260452.1110458,
61150909762.29274,
-1653835276.8110962,
11537683806.728622,
24928275251.75325,
4349407174.303925,
150134464630.55527,
-98183123552.09625,
10203809985.71962,
-272255779.70401,
3374938387.1826477,
-1050439394.9224243,
13484795373.439102,
-1618540783.6139832,
1773759225.5204468,
-90200265432.78894,
-222888009695.52466,
97858147.94337463,
-922543974.1764984,
12085515411.011406,
-99054650696.38242,
-2099013184.5375824,
1813679976.4316254,
4689658182.968384,
-2339880669.3285065,
-231520269268.88403,
-173712459220.25607,
-206152203940.86365,
-1984453730.0618896,
-212993369243.76434,
-1148868796.2106476,
-107284914708.70917,
-1334506907.7159882,
-228421399390.25812,
-1548969155.6993103,
-214130757181.20203,
-233578911170.50397,
-221252155877.27277,
-188027452308.15033,
-1525694024.5196838,
1661304766.2746582,
-232588176540.99927,
-213928091029.3203,
-233391731536.16644,
-222980100929.53485,
-249639866014.60156,
-347503140.3179321,
-298630197.90338135,
-229963157697.62646,
-234190366623.92847,
-224584266160.7846,
-1071633381.9042206,
-1508073400.3893585,
-548665440.9549255,
-285131929169.74786,
-208469473480.04443,
-269678578053.70892,
4969421666.692818,
-1183790932.7350159,
-190405941224.4808,
-202293040706.58572,
-230007839834.29596,
-228999941608.60553,
-241380164976.72186,
-230040278387.80823,
-216228266828.4179,
-269025569804.3739,
-227735895278.5277,
-1674248711.387558,
-268312409152.201,
-238349494619.9029,
-239898562032.1327,
-234466020780.91907,
-252768364916.08594,
-269499790300.79486,
-244723082249.0393,
-278169026543.3145,
-276433603646.9334,
-245358400247.72327,
-266020667964.9878,
-291802894047.7133,
-262172541853.0219,
-277361175476.5988,
-307063884109.941,
-277500741331.3954,
-309871091184.54205,
-307707305260.81744,
-310075232321.7531,
-312975599656.78503
],
"RAM_USAGE": [
744.9855193979317,
722.2948802618787,
760.6890272341851,
750.6886623883987,
798.7591178451904,
789.4597538331207,
721.6033068256272,
766.6986448883167,
708.8564325356681,
784.3587103477832,
712.9693213290827,
709.341893761696,
703.5437076031178,
837.8646105673937,
786.216789282932,
731.3601498393987,
769.1596122443218,
696.5286982648139,
702.4212832496341,
741.1067851301818,
731.9563605978869,
718.2968722257723,
792.5108371527335,
730.0281807618776,
739.3207830721511,
751.4353199922357,
806.0816449237224,
797.5853975936782,
733.1623704026505,
750.818090159338,
704.5053834023458,
790.853838928248,
733.2938905241288,
784.1004603495419,
776.4300711491937,
801.6994019905637,
803.1888266938624,
736.5516990363876,
821.4935719644719,
774.8800706188725,
713.2318265132462,
897.5843053973135,
757.6887339605007,
764.3571675150401,
732.750668754924,
780.5960986436079,
759.2739114973012,
752.6515213542829,
854.4567338491368,
750.2694198501449,
804.1243469303106,
809.2191363964031,
721.1888002855816,
748.1876791023724,
757.0578244539385,
779.1165105384441,
820.3745268980585,
768.9246664475615,
710.1504799400757,
752.308200396755,
896.9736297117336,
848.2191395079441,
812.2903857314643,
710.1117281457422,
717.3673632795485,
890.8085525890483,
863.0358561420729,
903.2895669656637,
839.2640673583265,
750.447745969668,
770.2561911711481,
755.9622858581281,
882.6033478839109,
829.6054854748957,
787.3132676191333,
832.2721897322473,
829.9012549409405,
874.9037566619184,
884.3324015606022,
850.7650534927155,
831.0681199003276,
847.2537998529573,
845.8891661555398,
932.1518916852312,
841.764958708514,
817.364936394604,
898.6828719614725,
874.7105379902406,
871.3303812582282,
830.8422669850889,
802.1561566989263,
999.9427164743837,
843.5255149573244,
894.9574355650794,
885.896459854487
],
"RUNTIME": [
142.96587583199994,
170.9370189795814,
141.44714126306295,
211.46003741447515,
263.60251785459457,
214.7823255103557,
137.26122211765204,
192.4563097234576,
155.54669130308767,
213.21868964190838,
156.8667190726756,
152.2137551468819,
176.06651838331055,
252.15789786885045,
199.51539531308828,
137.52704319166293,
206.05224650726058,
143.09621869334956,
153.04188742592459,
138.59210295242596,
134.82993007979326,
183.5366803656552,
446.15314900273756,
170.66859570227953,
206.39044090995637,
191.62198754158732,
173.66733362475762,
152.7689939024076,
137.96580036021592,
200.55672508723546,
163.38485301483013,
402.62572842007,
176.17340914054319,
272.61270770832306,
153.9126837622644,
381.65450241715837,
222.85332873623375,
154.00827003836082,
199.6453864232802,
360.37927814315776,
186.77832201588507,
899.0754686114736,
191.82484906188722,
199.11350481022322,
162.78614949113143,
148.11854671100556,
196.62646422889833,
175.1293856598411,
768.0470211304687,
186.73113880047663,
400.3975169983397,
758.3011892035059,
186.80257116015727,
171.96283024962264,
209.70530070666393,
237.5262605097342,
704.7762872327748,
161.69608594033573,
184.71281213800754,
146.93934837622606,
339.26331637730607,
790.5922760737657,
294.1212719392733,
158.49361975585833,
179.9908092492663,
824.1983909598117,
799.7693921068762,
903.5859635488773,
915.680340052481,
239.5378980881511,
377.33077662805505,
206.45640668199567,
342.6026082038789,
505.876262852697,
156.6881305967782,
282.42407342453515,
911.6150703103046,
969.2693067099133,
894.9906130217034,
272.5322019753301,
293.37936134966526,
309.91163534660495,
329.06831565305396,
337.6924015493663,
320.75849588529513,
247.89402896759168,
341.40860405833666,
312.2240432581814,
327.1001841061227,
289.3722026783078,
253.087199302161,
349.9836613222465,
309.5256985329254,
330.54124950648304,
350.4293063959603
]
},
"sems": {
"VAL_ACCURACY": [
0.06113323636315861,
0.06460424155965068,
0.06280817383337103,
0.07728637249366571,
0.06663031257952644,
0.08134238104028095,
0.061486219704486526,
0.0853952641930654,
0.07793670673582571,
0.07032044576155244,
0.08048398821247991,
0.0813518968209912,
0.06162018955057724,
0.08610250050270055,
0.07250244768304998,
0.05432065736598396,
0.07570916368830889,
0.05286473825501448,
0.08023456775538079,
0.061553439626825954,
0.0658302832153027,
0.08439691003008208,
0.07040811943274938,
0.0692545605341548,
0.09011016050184521,
0.06801495403622235,
0.08443907075059985,
0.07150407339677987,
0.05381782445588873,
0.04761146411362909,
0.07893156734093029,
0.067920011188377,
0.07582640210235378,
0.08196604256867274,
0.06961032970698539,
0.07329224691689282,
0.06770503283066091,
0.08505292796678755,
0.07224792286031671,
0.0760406987374731,
0.06853969546753794,
0.09049142721408095,
0.07208364673074398,
0.07054418073360334,
0.08888574545966571,
0.0634730434100026,
0.06510421597797497,
0.07351886525051446,
0.09322160166408397,
0.07027790580923979,
0.06806185422407851,
0.07197590956996563,
0.07652242975903414,
0.06716777749032521,
0.06917549473785337,
0.06862580198516643,
0.06862258973844924,
0.0674936059981974,
0.06823660973707213,
0.07249420714319788,
0.0887935377344067,
0.08662944475096017,
0.08037089462682614,
0.08396414493456589,
0.0629500341860677,
0.08708782553300845,
0.08267334916418498,
0.101488776657463,
0.09222384386020913,
0.0765175933909865,
0.07859028464135133,
0.0677667360198936,
0.07939171646157658,
0.09591261250291018,
0.06428536507574152,
0.08359541976215024,
0.07267311586209332,
0.07426351307338318,
0.08261685375642526,
0.11118071203729739,
0.07250399990680893,
0.08916095694792937,
0.07406061066388409,
0.08993797029153407,
0.0886987076908761,
0.07812730978187059,
0.08178650937667913,
0.09738316776239185,
0.07753738101911542,
0.08357283047961885,
0.07023490577000759,
0.10392654058985548,
0.08182907871047017,
0.08782849947529743,
0.08968153358220941
],
"VAL_LOSS": [
189758651931.33762,
31837362941.585472,
29948021606.941135,
9012368998.710459,
60944719666.775345,
247766350417.84653,
19527859598.995754,
84263416683.26189,
20757743638.634907,
12354648889.665903,
55723925506.93124,
27670396311.344284,
156458464733.07755,
26830857516.50599,
14878551527.51911,
17821608794.768654,
11748774452.060993,
18061350169.780277,
44383653918.65905,
20909226485.270065,
16893451073.512384,
26227183794.96886,
51915803339.43917,
18780856338.5524,
14757098194.892921,
110002050990.57603,
25482803730.192097,
24193447360.012043,
16607412212.115908,
7808582845.616689,
10037024505.8991,
55132655492.72919,
54745059906.179,
56145177440.81813,
21623629251.38629,
51751458080.2293,
17498926579.925056,
26726015110.217445,
20576416770.211746,
57012360348.676956,
21952037958.790318,
56809303415.88215,
58872670175.808,
57555168706.15554,
51258733406.30368,
19289518841.681274,
16298581374.533453,
59217133386.30586,
55678907212.13177,
58912556707.75788,
52427042482.2441,
57543945775.28365,
22659511725.652542,
18584912621.313225,
56417510751.61149,
55998279353.267365,
52092866483.62944,
17267385001.078323,
22632568559.41492,
16460204969.112198,
143039165529.2409,
55571442257.15466,
133106419820.3396,
27821846498.524635,
22230534618.497086,
53229640303.23431,
55564084003.00269,
58867743034.56929,
57714620910.529465,
57101735987.09536,
56827162539.86189,
57400674651.80271,
131147951910.65219,
55474607477.64481,
25726041925.83319,
132693694292.5399,
57004796698.052216,
56024193611.9277,
55990098071.79242,
122360151755.38556,
142986256509.42957,
119244979705.74225,
142770105143.92407,
141631959604.99356,
130556622283.41328,
144163177550.39203,
133048152698.25995,
140712183102.44263,
132553293209.7702,
137032365165.62605,
134935534412.83273,
134739397248.88965,
136414125193.59012,
135959421795.6728,
135413523886.57433
],
"RAM_USAGE": [
8.902542520630185,
10.38323673459214,
8.859991175507322,
9.019185469630445,
10.850549199551317,
13.129121323064513,
10.990994698419785,
11.285087992779857,
9.431125775915024,
8.729327891371964,
9.509508252698165,
9.55497923436314,
10.039469025667952,
11.193140438274126,
11.057659361661319,
11.177213413872941,
9.246741420597292,
11.937908528061252,
9.903920190507119,
11.365409191787263,
10.783822703836234,
10.407847428360363,
12.553625607424998,
10.979307952262001,
10.745369126819325,
11.499042615629609,
9.54723265253889,
14.685493558368998,
11.053241332135334,
8.477335506177097,
9.104019044747707,
12.057201102190463,
12.706451225667758,
11.210043316633518,
11.685369287605868,
12.354554049280122,
13.456082920618272,
9.657636545409458,
14.761069947021044,
12.4069676357999,
13.032386443596895,
16.14262444162578,
12.8313678222863,
12.461815482325367,
13.534680575043431,
11.864382202804242,
10.972687087902063,
13.438254218717606,
13.913585802356165,
12.794955849611428,
12.09118750707089,
14.502275193221678,
16.12950740532997,
13.738191659695325,
12.389099846999041,
11.583303204758717,
13.331655612038242,
13.173839372632361,
13.600024498615895,
11.045041223950781,
17.132357285570293,
14.2905489306753,
17.594801738997106,
9.352099840153565,
12.93823400247596,
15.660956974724307,
13.845540811405833,
16.72962210178615,
16.464429086919523,
13.975263879366908,
13.186596261686837,
12.202843299685378,
16.793154893524523,
12.488220188350288,
15.237511851849888,
14.63802792587244,
14.520876491186698,
13.847470599092688,
13.0604373349674,
18.502351033334527,
15.511691224769093,
15.26523696654806,
17.09267235865405,
17.40232938699579,
15.863621514317858,
15.394286991857935,
18.076239145497848,
21.217970717494705,
15.506876546625692,
16.87240857377512,
15.744683641071388,
23.75784295768293,
16.578137665853593,
16.4361561075526,
19.639344179622846
],
"RUNTIME": [
93.08753020775094,
96.23704369785648,
93.7749936699499,
37.84065840875987,
93.53259552037211,
40.8654492364561,
91.17955350527062,
50.7289811938529,
44.746734762897745,
36.20751199429,
41.702590710906634,
52.46746649547575,
39.37743309569882,
98.69584216500118,
52.8583197093818,
91.9727830027809,
37.01666097323146,
95.31746433889408,
45.606601708434646,
91.53346457980078,
90.72290840354385,
96.28575304609755,
83.77509957750941,
89.84483506521917,
47.54007838717338,
48.56211373068917,
98.46374742884791,
96.7146734213952,
92.87042137820383,
32.63204543012025,
41.44286594345764,
83.2631431941197,
61.83416572412694,
80.95221435019025,
92.03295940842828,
83.2000708556122,
94.03550021137957,
96.34554057332855,
96.7704961494762,
80.98077014662591,
97.89864858214999,
68.20363525919208,
65.2712915021503,
64.79736700865448,
72.42490499454891,
92.9944056685142,
89.6421320960489,
64.1255807649137,
73.31352241956671,
64.67906274627228,
82.38440232227,
75.8009392847019,
98.60491698416917,
94.57989675006664,
68.17991756288076,
71.576005650389,
77.83590883513969,
94.44744387587843,
99.14359348646497,
88.84767228529043,
83.73458869458868,
71.35777210027395,
85.69100975086646,
48.77786823605775,
96.32486470405357,
71.92090831818604,
70.56345799894794,
66.21900013848693,
61.02433521427657,
72.19814865022356,
81.50216468084592,
66.17723539353355,
76.33552086007589,
85.36386893129111,
97.93343232206209,
84.53749510027114,
59.728768962637844,
51.696643650203136,
63.73638285072468,
84.87889471628921,
85.29793169318009,
85.47442514348865,
88.54498765809869,
62.23295558311662,
85.2586277270375,
83.87881840779269,
71.55424314204612,
55.10637830699932,
88.96774659829447,
88.25629470988103,
84.94290965923852,
73.4780857229953,
89.95019078433259,
92.2167257225468,
77.1471517583002
]
},
"absolute_metrics": [
"VAL_ACCURACY",
"VAL_LOSS",
"RAM_USAGE",
"RUNTIME"
]
},
"RAM_USAGE": {
"param_dicts": [
{
"width": 41,
"height": 32,
"dense": 2,
"dense_units": 59,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.005179719246643639,
"activation": "leaky_relu"
},
{
"width": 22,
"height": 49,
"dense": 3,
"dense_units": 50,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004844135363236311,
"activation": "leaky_relu"
},
{
"width": 24,
"height": 61,
"dense": 3,
"dense_units": 54,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.006374509840253816,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 35,
"dense": 3,
"dense_units": 61,
"epochs": 31,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.004262741281650282,
"activation": "leaky_relu"
},
{
"width": 44,
"height": 41,
"dense": 3,
"dense_units": 62,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.00718239832928362,
"activation": "leaky_relu"
},
{
"width": 36,
"height": 42,
"dense": 1,
"dense_units": 65,
"epochs": 29,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.00406117643046414,
"activation": "leaky_relu"
},
{
"width": 47,
"height": 31,
"dense": 4,
"dense_units": 60,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.005638425569204967,
"activation": "leaky_relu"
},
{
"width": 28,
"height": 20,
"dense": 3,
"dense_units": 55,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.005685166376113968,
"activation": "leaky_relu"
},
{
"width": 37,
"height": 24,
"dense": 2,
"dense_units": 47,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.003709733735842694,
"activation": "leaky_relu"
},
{
"width": 48,
"height": 35,
"dense": 2,
"dense_units": 53,
"epochs": 32,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0034903171071531984,
"activation": "leaky_relu"
},
{
"width": 40,
"height": 49,
"dense": 2,
"dense_units": 56,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.005063237558819072,
"activation": "leaky_relu"
},
{
"width": 34,
"height": 36,
"dense": 2,
"dense_units": 59,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0036651337898252713,
"activation": "leaky_relu"
},
{
"width": 33,
"height": 36,
"dense": 4,
"dense_units": 66,
"epochs": 31,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.0027867151988106216,
"activation": "leaky_relu"
},
{
"width": 38,
"height": 47,
"dense": 2,
"dense_units": 69,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0015369178492507757,
"activation": "leaky_relu"
},
{
"width": 38,
"height": 31,
"dense": 1,
"dense_units": 64,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0035263466448648803,
"activation": "leaky_relu"
},
{
"width": 47,
"height": 28,
"dense": 2,
"dense_units": 57,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.0035235023671262673,
"activation": "leaky_relu"
},
{
"width": 38,
"height": 33,
"dense": 2,
"dense_units": 43,
"epochs": 32,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.003328858572987987,
"activation": "leaky_relu"
},
{
"width": 21,
"height": 60,
"dense": 1,
"dense_units": 52,
"epochs": 29,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.008213138895073545,
"activation": "leaky_relu"
},
{
"width": 59,
"height": 24,
"dense": 1,
"dense_units": 56,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.003499731097931319,
"activation": "leaky_relu"
},
{
"width": 27,
"height": 23,
"dense": 2,
"dense_units": 65,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.004804355083655939,
"activation": "leaky_relu"
},
{
"width": 21,
"height": 24,
"dense": 3,
"dense_units": 42,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.00392706811986104,
"activation": "leaky_relu"
},
{
"width": 28,
"height": 29,
"dense": 2,
"dense_units": 60,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.003687226473576112,
"activation": "leaky_relu"
},
{
"width": 21,
"height": 51,
"dense": 2,
"dense_units": 45,
"epochs": 32,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.00416637773542336,
"activation": "leaky_relu"
},
{
"width": 33,
"height": 25,
"dense": 4,
"dense_units": 38,
"epochs": 35,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0037771315567346276,
"activation": "leaky_relu"
},
{
"width": 26,
"height": 20,
"dense": 3,
"dense_units": 44,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.003985158163460407,
"activation": "leaky_relu"
},
{
"width": 36,
"height": 27,
"dense": 4,
"dense_units": 35,
"epochs": 34,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0034798051531865883,
"activation": "leaky_relu"
},
{
"width": 36,
"height": 48,
"dense": 1,
"dense_units": 68,
"epochs": 29,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.006746679121337708,
"activation": "leaky_relu"
},
{
"width": 35,
"height": 68,
"dense": 1,
"dense_units": 62,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0024950123513918384,
"activation": "leaky_relu"
},
{
"width": 70,
"height": 21,
"dense": 2,
"dense_units": 63,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.002778126141095693,
"activation": "leaky_relu"
},
{
"width": 40,
"height": 50,
"dense": 3,
"dense_units": 55,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.00369350562797142,
"activation": "leaky_relu"
},
{
"width": 37,
"height": 27,
"dense": 2,
"dense_units": 59,
"epochs": 32,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.00448424519770761,
"activation": "leaky_relu"
},
{
"width": 22,
"height": 20,
"dense": 2,
"dense_units": 54,
"epochs": 29,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.0038951097612515808,
"activation": "leaky_relu"
},
{
"width": 26,
"height": 24,
"dense": 3,
"dense_units": 20,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.004821062724142947,
"activation": "leaky_relu"
},
{
"width": 23,
"height": 48,
"dense": 1,
"dense_units": 50,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.0034922804619370784,
"activation": "leaky_relu"
},
{
"width": 29,
"height": 33,
"dense": 3,
"dense_units": 41,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.004029447287739078,
"activation": "leaky_relu"
},
{
"width": 44,
"height": 21,
"dense": 1,
"dense_units": 82,
"epochs": 27,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.002450383516245333,
"activation": "leaky_relu"
},
{
"width": 25,
"height": 20,
"dense": 2,
"dense_units": 67,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0014488764720587501,
"activation": "leaky_relu"
},
{
"width": 24,
"height": 24,
"dense": 1,
"dense_units": 50,
"epochs": 26,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.0060785024787719235,
"activation": "leaky_relu"
},
{
"width": 25,
"height": 63,
"dense": 2,
"dense_units": 48,
"epochs": 31,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.004155647535104867,
"activation": "leaky_relu"
},
{
"width": 40,
"height": 23,
"dense": 1,
"dense_units": 86,
"epochs": 27,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.0024302550191068247,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 31,
"dense": 2,
"dense_units": 46,
"epochs": 32,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.004657141837265445,
"activation": "leaky_relu"
},
{
"width": 21,
"height": 37,
"dense": 2,
"dense_units": 67,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.00483817422719676,
"activation": "leaky_relu"
},
{
"width": 29,
"height": 50,
"dense": 2,
"dense_units": 67,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.002404395784438513,
"activation": "leaky_relu"
},
{
"width": 40,
"height": 29,
"dense": 1,
"dense_units": 67,
"epochs": 32,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.006203820786125819,
"activation": "leaky_relu"
},
{
"width": 31,
"height": 31,
"dense": 1,
"dense_units": 40,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.004857686766283418,
"activation": "leaky_relu"
},
{
"width": 31,
"height": 28,
"dense": 3,
"dense_units": 78,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.002305818410583088,
"activation": "leaky_relu"
},
{
"width": 50,
"height": 23,
"dense": 2,
"dense_units": 49,
"epochs": 31,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.002635774445309893,
"activation": "leaky_relu"
},
{
"width": 28,
"height": 42,
"dense": 1,
"dense_units": 38,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0030992319525565155,
"activation": "leaky_relu"
},
{
"width": 29,
"height": 22,
"dense": 1,
"dense_units": 78,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.002457416754620784,
"activation": "leaky_relu"
},
{
"width": 21,
"height": 33,
"dense": 1,
"dense_units": 83,
"epochs": 26,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.004490047607641625,
"activation": "leaky_relu"
},
{
"width": 33,
"height": 23,
"dense": 2,
"dense_units": 40,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.005849297033754015,
"activation": "leaky_relu"
},
{
"width": 29,
"height": 36,
"dense": 1,
"dense_units": 22,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.005553660982055538,
"activation": "leaky_relu"
},
{
"width": 21,
"height": 21,
"dense": 2,
"dense_units": 50,
"epochs": 32,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0057129755266278354,
"activation": "leaky_relu"
},
{
"width": 25,
"height": 20,
"dense": 1,
"dense_units": 74,
"epochs": 25,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.00190455954298698,
"activation": "leaky_relu"
},
{
"width": 22,
"height": 38,
"dense": 1,
"dense_units": 46,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.0036195179269683025,
"activation": "leaky_relu"
},
{
"width": 35,
"height": 24,
"dense": 1,
"dense_units": 58,
"epochs": 25,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.004651817983487335,
"activation": "leaky_relu"
},
{
"width": 48,
"height": 21,
"dense": 1,
"dense_units": 56,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0035431171858455682,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 57,
"dense": 1,
"dense_units": 62,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.004838049975018587,
"activation": "leaky_relu"
},
{
"width": 26,
"height": 34,
"dense": 1,
"dense_units": 40,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.004863205753126092,
"activation": "leaky_relu"
},
{
"width": 27,
"height": 29,
"dense": 1,
"dense_units": 67,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.004758037657663465,
"activation": "leaky_relu"
},
{
"width": 35,
"height": 20,
"dense": 1,
"dense_units": 38,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.00237431409237986,
"activation": "leaky_relu"
},
{
"width": 36,
"height": 20,
"dense": 1,
"dense_units": 51,
"epochs": 34,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.004860112345216875,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 29,
"dense": 1,
"dense_units": 59,
"epochs": 29,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0021968821572456963,
"activation": "leaky_relu"
},
{
"width": 21,
"height": 20,
"dense": 1,
"dense_units": 80,
"epochs": 26,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.004018980313347267,
"activation": "leaky_relu"
},
{
"width": 46,
"height": 20,
"dense": 1,
"dense_units": 53,
"epochs": 31,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.003986977042573876,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 24,
"dense": 1,
"dense_units": 53,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.00341643263829645,
"activation": "leaky_relu"
},
{
"width": 25,
"height": 37,
"dense": 1,
"dense_units": 57,
"epochs": 26,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.0006552049522394913,
"activation": "leaky_relu"
},
{
"width": 43,
"height": 20,
"dense": 1,
"dense_units": 40,
"epochs": 31,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.00367668827387085,
"activation": "leaky_relu"
},
{
"width": 22,
"height": 25,
"dense": 1,
"dense_units": 52,
"epochs": 31,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0034683073908107305,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 21,
"dense": 1,
"dense_units": 52,
"epochs": 23,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.004292856183471775,
"activation": "leaky_relu"
},
{
"width": 71,
"height": 23,
"dense": 1,
"dense_units": 50,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.002002573527009089,
"activation": "leaky_relu"
},
{
"width": 23,
"height": 32,
"dense": 1,
"dense_units": 41,
"epochs": 29,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.0025569649554757134,
"activation": "leaky_relu"
},
{
"width": 25,
"height": 21,
"dense": 1,
"dense_units": 37,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.01016314453020183,
"activation": "leaky_relu"
},
{
"width": 52,
"height": 29,
"dense": 1,
"dense_units": 49,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.005016342670781808,
"activation": "leaky_relu"
},
{
"width": 27,
"height": 25,
"dense": 2,
"dense_units": 62,
"epochs": 26,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.004388946211521579,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 23,
"dense": 1,
"dense_units": 47,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0022059290481105404,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 44,
"epochs": 28,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.003899685233279012,
"activation": "leaky_relu"
},
{
"width": 26,
"height": 20,
"dense": 1,
"dense_units": 66,
"epochs": 29,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0031145909117914787,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 22,
"dense": 1,
"dense_units": 71,
"epochs": 26,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.0011902089824610545,
"activation": "leaky_relu"
},
{
"width": 30,
"height": 20,
"dense": 1,
"dense_units": 22,
"epochs": 34,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.00282861646650565,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 29,
"dense": 1,
"dense_units": 30,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.0035733549316176627,
"activation": "leaky_relu"
},
{
"width": 23,
"height": 20,
"dense": 1,
"dense_units": 54,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.004934805693708392,
"activation": "leaky_relu"
},
{
"width": 27,
"height": 22,
"dense": 1,
"dense_units": 54,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.005078542779091104,
"activation": "leaky_relu"
},
{
"width": 22,
"height": 22,
"dense": 1,
"dense_units": 40,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.004949833370832153,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 27,
"dense": 1,
"dense_units": 47,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.005721390909613541,
"activation": "leaky_relu"
},
{
"width": 20,
"height": 38,
"dense": 1,
"dense_units": 77,
"epochs": 17,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0.002909303986383035,
"activation": "sigmoid"
},
{
"width": 20,
"height": 37,
"dense": 1,
"dense_units": 40,
"epochs": 30,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.010672021919740388,
"activation": "relu"
},
{
"width": 20,
"height": 33,
"dense": 1,
"dense_units": 39,
"epochs": 26,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.0077920772561034185,
"activation": "relu"
},
{
"width": 20,
"height": 32,
"dense": 1,
"dense_units": 76,
"epochs": 15,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0.006856041574484962,
"activation": "sigmoid"
},
{
"width": 20,
"height": 28,
"dense": 1,
"dense_units": 32,
"epochs": 29,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.0064160241098896315,
"activation": "relu"
},
{
"width": 20,
"height": 30,
"dense": 1,
"dense_units": 78,
"epochs": 15,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0.008793588629235412,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 49,
"epochs": 25,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 32,
"dense": 1,
"dense_units": 45,
"epochs": 22,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 42,
"dense": 1,
"dense_units": 63,
"epochs": 15,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 53,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.011745605693505422,
"activation": "sigmoid"
}
],
"means": {
"VAL_ACCURACY": [
0.7978511038259903,
0.7903105285181328,
0.7869480943700122,
0.7871006171008829,
0.7956943441056852,
0.7928988276360012,
0.789859777238322,
0.79158368618046,
0.7897793123840111,
0.795605690361499,
0.7970693210001475,
0.7946111347541391,
0.7862367820647114,
0.79639283067685,
0.7956598255296061,
0.7944288982719017,
0.7892765564008123,
0.7733610523441514,
0.7852408688214932,
0.7819881154473542,
0.7809045328354258,
0.7912562790983994,
0.7845553479233683,
0.7665688410239602,
0.7829309329889707,
0.7697316554269951,
0.7896192724746667,
0.7835276696185212,
0.7838839204088086,
0.7959066109493504,
0.7915948617844605,
0.7769766132689366,
0.7318959127066742,
0.7842067687836588,
0.7867658762195557,
0.7677569094481,
0.7819908571166239,
0.7681691782588949,
0.7782742968385536,
0.7600777977187503,
0.7854051821933512,
0.7888585842211566,
0.7934292743443008,
0.7808179467603238,
0.7680609824113043,
0.776545566326969,
0.7832676429995759,
0.7639555033192537,
0.7725264658578777,
0.7643936128227978,
0.7809084349078881,
0.7377149164320742,
0.7829389114839349,
0.7709811358993208,
0.7800696452904052,
0.7809179953077465,
0.7891433400018538,
0.7830229367169685,
0.7782558816915577,
0.7885535691469411,
0.7585772628894096,
0.7799393145227127,
0.7819897872024861,
0.7625930114213724,
0.7845298082585439,
0.7765922738532833,
0.7830956494616612,
0.7682362634830022,
0.7762937249022291,
0.7380907896622092,
0.7738896766615626,
0.7669128236516493,
0.7658727436433588,
0.7863071573489306,
0.7825865975897548,
0.7680833647552674,
0.7542100683933121,
0.7791702504485143,
0.7736852859398098,
0.7288916795847757,
0.7437776595044416,
0.7765090039849454,
0.7825212986239934,
0.7711912986978333,
0.7761165227805258,
0.6162922857635866,
0.7171208100576352,
0.6985750234287087,
0.6071764379821318,
0.7093916454425244,
0.6083609533663441,
0.709073616749693,
0.6674164173847773,
0.5896231462636666,
0.31121545351973723
],
"VAL_LOSS": [
51742290837.76047,
2430330912380.2563,
2398627857053.691,
-4066198060.5229034,
21335398500.582108,
171763005552.38068,
455501589139.6789,
2231465807377.7007,
144819789461.32965,
2512286273.5362625,
73064831168.02524,
242753763815.50647,
279368215484.7003,
116084699052.89325,
112713667827.54242,
-484733372.7396698,
118462427387.8681,
768337931912.3762,
-8020337819.164963,
531274348331.9008,
770134517379.1798,
485971711589.60443,
769710545226.0355,
282462537996.63007,
574915257123.6492,
177767037066.36835,
172738067578.0841,
205401707584.12073,
616019567.4214783,
79885401566.59343,
144011137754.3968,
732907885594.3771,
575265051621.2351,
695911650121.9182,
445407804700.6626,
8904125817.690971,
613346952873.4534,
654113158875.0114,
616711060093.0706,
65043644694.61281,
802095795543.4038,
767879185050.9242,
441903534939.57684,
72384074447.16895,
355190255939.50354,
354905806729.3499,
-5021761371.542755,
484923448489.86365,
439234335828.9556,
766670829857.4058,
279084328074.6803,
444761783818.9802,
769421204918.607,
611892239544.9883,
733306017320.4791,
198556376978.10147,
-9107525231.681107,
800080295044.0034,
574524196918.7012,
527935835361.4001,
200899537632.10266,
174169507061.6811,
800620645664.9498,
766554802267.2957,
798022535.7209396,
799903443449.897,
612879063518.7332,
23986135008.889847,
733531474081.32,
798417902868.5444,
9832958341.23449,
695251117741.9761,
616661690000.2986,
-6989813.158462524,
527126184673.267,
799907763780.4525,
800296061514.3589,
571569872380.2761,
799374645605.1504,
401545469043.1828,
801173640888.35,
694121321729.9551,
527840709090.05304,
734460141603.2152,
801099495514.8976,
-1251972606.5859375,
33137047.623962402,
-244489478.34817505,
-991483297.7466888,
24893745.079483032,
-949042598.0310364,
-98878972.38140869,
-346107753.97273254,
-1141543611.9898834,
1975554286.203888
],
"RAM_USAGE": [
693.1760345064624,
712.0168898578532,
733.7382385775794,
745.074878923738,
721.4399754965185,
699.6946140373293,
735.4499432858171,
689.2930561006488,
679.4587582871732,
710.9323487750388,
714.2049059816704,
695.5521501930181,
702.4409346799787,
717.3276020101266,
686.9813227409995,
697.3817681112866,
689.0027501862216,
689.5438076578179,
700.9962390980643,
675.3302054867082,
669.3950279619326,
677.226233522955,
686.3872692927312,
682.1258579339714,
670.6711491856079,
685.6533950716043,
710.9573534025171,
735.8957222929698,
715.2294555003288,
729.464332473518,
687.4743540993425,
664.7702976278442,
674.0501179425576,
682.148833144485,
681.8459411820032,
690.0264781885662,
668.4881387069362,
662.9734257361175,
705.4025889036628,
690.4134623380814,
669.2116087681638,
676.7411357965732,
703.5487365513103,
692.375630929509,
671.7639525633523,
689.8971334032394,
691.7617929462666,
676.9660502730374,
674.5293838746913,
676.3226143185547,
673.6989588291246,
676.8495667795422,
665.4285940317927,
666.3960524828508,
671.0081791899808,
671.9252719070604,
682.3855067730493,
689.3259488852898,
673.4193408953721,
673.6011891979172,
667.5766843027451,
672.8675088011462,
664.9825265137438,
666.0382276575504,
680.220327712674,
661.344935604456,
672.0521616199658,
674.6304397122929,
665.0770602110833,
659.4865085582899,
708.7999802945034,
667.0856975232402,
664.8867644276758,
699.7473004959858,
670.440205747702,
660.9005890589585,
660.5765723964539,
666.4145057702692,
663.2787256623185,
668.4323345485153,
664.9217290697336,
661.7819772395302,
665.2118431187537,
663.7958408388535,
663.2884772768832,
655.1398743963795,
662.4759862992516,
659.0472426135464,
654.3670234258833,
660.1833242970241,
654.5935370337368,
656.2984793108554,
657.2828825958582,
654.0155370850416,
647.9768782059139
],
"RUNTIME": [
148.0957908036653,
144.7374176647865,
210.3403156150591,
181.6759608642074,
175.0744782346072,
171.0773086318459,
149.6620570391807,
187.37298337868697,
139.08456033912887,
163.8055792536618,
188.204933617604,
154.15587623352167,
154.29436323069984,
185.63877268487965,
144.61026320721174,
146.18168396431284,
149.60123066198997,
172.49368310642402,
150.84231075730042,
135.38354823337085,
133.36112566893513,
136.26585286588306,
173.25516956725662,
139.13496962856775,
139.27551707441555,
140.54781288111246,
181.46038080743412,
186.7714926271115,
157.5790207605516,
195.62315698073047,
138.6729559368037,
136.81791539805516,
135.10605611108946,
173.22000604117426,
143.5044112041065,
144.91754612532662,
137.6471658058453,
136.3235235550088,
181.82511023781592,
141.68549443513268,
133.96215912163538,
146.85405530397782,
180.99227237834836,
144.37102969610368,
140.84909515671745,
135.8813694241406,
144.49705934635767,
164.78662713210383,
135.69160776507022,
139.78110055156844,
137.83012067726364,
149.73300803856,
135.77699837161407,
139.34079156303898,
150.3580482708686,
137.60356301330336,
144.92866192267894,
174.48536880720508,
143.11897455881632,
136.1422819923372,
141.3084081713335,
142.93335809816108,
135.49369654419564,
140.36852816841963,
145.95892466438653,
132.6005532122947,
150.54963817633882,
143.174375884989,
131.2368196255327,
135.70767898049633,
159.29514633521353,
137.82699179387149,
137.8150644830884,
152.83267224880345,
136.14115440899684,
133.42596467239082,
135.80717347591207,
140.0848556395974,
137.00519226775407,
141.41411681308915,
133.6291531730319,
137.92590486278422,
136.77222909523118,
135.536231511435,
131.8686487258721,
215.13667289845088,
164.246599962102,
158.7666633838105,
230.71092094705236,
152.91363848271004,
234.88741188844043,
159.05966570935453,
154.73255596122712,
200.97163363643799,
195.59226363358704
]
},
"sems": {
"VAL_ACCURACY": [
0.0766406834033559,
0.061784456444014216,
0.06779678055534484,
0.08475731288755164,
0.08109282811014387,
0.08305698216956138,
0.06357458331547296,
0.06611368601669626,
0.06513004365958562,
0.06466275509782884,
0.07554072068582436,
0.06548272416679472,
0.08448953399514142,
0.07726311916607975,
0.07919508190502421,
0.0833175371433798,
0.06533218975032079,
0.08478810941282637,
0.086007628914387,
0.07106968113459396,
0.06673513770067534,
0.084757726874922,
0.0674296571866881,
0.06142246160228535,
0.06671821989692796,
0.06407488553223864,
0.08356188494739862,
0.07643476958327569,
0.08178824927343846,
0.06342176556524261,
0.06801980933120766,
0.08634561567651795,
0.07498173027981539,
0.08478401111206656,
0.06382612527452398,
0.06842815986484105,
0.0783787622624443,
0.061330473743865084,
0.08433335877202183,
0.07122382473691748,
0.06832533587810269,
0.07957854351176245,
0.07774011159256056,
0.08806671191946021,
0.08289415305311443,
0.07690804854481025,
0.0693076171142539,
0.08376607781043033,
0.08181183767705671,
0.06372117888765486,
0.0661051324403234,
0.07456664710917142,
0.07052922094640551,
0.05540174469725329,
0.08523889027638351,
0.049268544584524045,
0.08048267027493514,
0.0768261398350941,
0.06727871431482688,
0.08134164411917223,
0.08572967650707022,
0.06726718362256062,
0.08592362814990448,
0.06524718848405431,
0.08575317305819541,
0.08013991747007616,
0.05490016705484992,
0.07307611568594152,
0.07348689190769282,
0.060765667236219116,
0.08755090769533372,
0.08695486649882535,
0.07057988188810223,
0.06651330805532364,
0.05473026831407101,
0.08221420847103539,
0.08901398213256644,
0.08745359447849728,
0.06053833507456292,
0.07422186536935542,
0.08941173215066191,
0.08008525879972059,
0.08198469520811348,
0.07014472976361669,
0.08642956031204024,
0.07079834979310883,
0.09440709824584376,
0.08342170195940209,
0.06301936341914069,
0.09701800799758752,
0.06279970842511129,
0.07951928049770193,
0.0835417216317874,
0.07106821446773552,
0.1238872353926824
],
"VAL_LOSS": [
82824505315.05988,
447222223919.0476,
418441732701.65356,
56713782021.93631,
44814113836.271805,
174618457198.60922,
113649850614.94225,
357316380874.2359,
156179121886.42508,
18193108755.781082,
98374260612.42574,
219021268398.749,
240638359342.043,
134477486429.30466,
134533718930.24391,
22626673951.122894,
135927706910.63239,
478495927029.5478,
14342801300.269135,
372439508402.6677,
479043300054.21014,
350898885970.2425,
478759765737.9959,
242004450100.79706,
392552717186.1216,
176837039743.39447,
174503728135.04254,
195544720510.96255,
112313364794.9974,
100886134394.27289,
155699216212.03317,
463537788037.5126,
392384983973.1157,
446969380442.70465,
329849498192.2039,
45361480185.69043,
411225068656.9072,
429391845581.3473,
411186517072.76044,
99308820522.89117,
493019055659.1499,
478591485858.56866,
328851252374.1084,
100621807742.21231,
284486944457.7389,
284771716068.5658,
16163144627.224304,
350281931123.14795,
329183161316.6461,
478560596876.34045,
241242906467.1994,
329650930899.28577,
478989859763.5086,
411075205032.76306,
463398416105.5499,
195207769346.3478,
19132082103.85823,
492622690420.42096,
392261843866.877,
371529373563.77673,
196008379726.69226,
177051848341.62012,
492883959103.5083,
478694196641.1339,
30517756091.577675,
492806216039.2231,
410844765434.30774,
58050658637.19976,
463632511574.1548,
492683855251.1719,
127862673278.16243,
446993884496.0672,
411693951372.7532,
13170375244.898846,
371360713541.0186,
492814994556.19196,
492878102481.9338,
392051507297.93756,
492838299989.0069,
308417156077.0858,
492883686392.97046,
447004191721.93835,
371598097279.4286,
463820430390.733,
492911809190.37317,
20652941199.398712,
16662177912.015606,
17892353460.903072,
23080793208.11645,
20161254937.35719,
23722690805.470604,
22836805490.96819,
18120705733.717213,
20361502075.72194,
32625248416.867413
],
"RAM_USAGE": [
10.284962594414786,
12.042827402945244,
11.661469580113218,
10.325117594499666,
8.428326915046695,
9.679580594768446,
9.138328218792868,
13.250527938698266,
13.58079565603498,
9.31968262913476,
8.601368523685093,
10.80094712259754,
10.643866927462623,
8.851589405002667,
11.073979633241793,
10.706076273487353,
11.177968331626184,
12.890674930297058,
12.223649331539823,
15.299711180649954,
17.976011411916936,
13.474675684553159,
13.571238228010213,
14.489253638666083,
17.5471980826185,
13.342925967860817,
9.301574082517545,
11.045880871906904,
14.781991030868065,
8.736791851479936,
12.189906044436754,
18.231198924573924,
18.529557348682527,
12.729633084693385,
13.261213643821815,
13.663106390805936,
16.980471190448927,
16.945973098521648,
12.119097830168052,
13.491884970244925,
16.33099026334565,
13.839311975812791,
10.179911330175399,
11.343727255604286,
13.413368577574156,
12.716305233937156,
12.33331395805009,
12.6218941829152,
15.232440323250524,
14.997611907962161,
15.047004330155204,
15.076375839994599,
18.422862394050647,
17.255905841292233,
14.46426663574128,
13.787868057609417,
13.158299091274646,
12.72213391544191,
14.372108378104105,
13.789435093326368,
15.917442285725677,
15.280097937389955,
16.264482280052754,
18.49488650387276,
13.863372483115159,
17.915722334048926,
13.115295564993138,
14.452030754116077,
16.808719560923567,
19.18841098289725,
14.893656261824365,
15.552438537520398,
18.300095267511466,
10.769003205428161,
15.116487573131728,
18.614989330628728,
19.70946956876702,
16.945003185137992,
18.17053197717218,
18.733454955178424,
18.494610356043633,
18.193397256210275,
16.3267589234867,
18.69914289760662,
17.362737574879695,
19.62764945705779,
15.620387906593612,
16.68144028467527,
21.421808501831144,
18.4957326869625,
22.218445119396186,
19.91764313760948,
16.380038113617626,
17.966020719740204,
20.42939061562697
],
"RUNTIME": [
48.34928720932708,
93.77751507861989,
90.18338478631027,
46.67127089568217,
35.70646146072,
34.38025963149418,
92.88694382801752,
103.62331570036986,
75.21396471554091,
48.726849517693594,
29.021360076415814,
52.894357425420004,
51.432868849615836,
30.09816255546899,
52.427075233192184,
60.81884947776063,
56.08795335166389,
44.27438744894893,
68.76569113968033,
81.72454817513429,
82.84627347196013,
67.22071735902146,
42.3453997249962,
75.10566862613331,
89.66964330200247,
69.19151960577663,
30.804600515841347,
46.60473303896999,
72.86909180062133,
28.80105930829759,
67.90562971456397,
90.20683578343042,
80.35789735013884,
42.55893055437217,
61.08132830904021,
69.5870121428136,
85.82849420404354,
71.05694978139172,
44.59809156928542,
65.19908091499526,
69.9001303212953,
53.56752345508399,
36.46743591407778,
61.042592468154126,
56.60691032127902,
62.91376685635736,
73.85406075487491,
40.900179540698495,
78.41297801258172,
54.872640469166306,
79.06471094826735,
56.080657331554285,
89.16724850060842,
81.12370230208315,
55.52525816713696,
63.63492842467076,
73.89528023254007,
44.565087531040895,
61.173016104068104,
63.30475276853193,
81.61857085005352,
85.86752301492416,
69.15875683581275,
83.46539715354668,
81.69237335432918,
78.80910773481153,
45.11899455943507,
83.52718913237784,
79.77227464761216,
80.59373256217428,
72.82018946462853,
64.90333061726945,
87.17460861317251,
59.3407475094686,
66.64730743181306,
81.3190270056459,
91.06635971052643,
85.66209911290825,
79.47236936546972,
88.58374555537245,
72.60104346357693,
86.42391122380934,
79.46287084042004,
86.68029367952457,
75.97631325312783,
89.91468854095547,
71.02368043310497,
72.27606906726068,
106.03520635053651,
85.17502932052267,
110.56971258071428,
92.29218604208718,
73.39829226328699,
76.34046116356046,
113.91459139303153
]
},
"absolute_metrics": [
"VAL_ACCURACY",
"VAL_LOSS",
"RAM_USAGE",
"RUNTIME"
]
},
"RUNTIME": {
"param_dicts": [
{
"width": 44,
"height": 48,
"dense": 2,
"dense_units": 56,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.004918598251531628,
"activation": "leaky_relu"
},
{
"width": 60,
"height": 38,
"dense": 3,
"dense_units": 56,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.00480488144677121,
"activation": "leaky_relu"
},
{
"width": 27,
"height": 45,
"dense": 2,
"dense_units": 62,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0036499956204738134,
"activation": "leaky_relu"
},
{
"width": 53,
"height": 44,
"dense": 3,
"dense_units": 42,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004467276239879143,
"activation": "leaky_relu"
},
{
"width": 46,
"height": 36,
"dense": 1,
"dense_units": 63,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0031688442168565398,
"activation": "leaky_relu"
},
{
"width": 58,
"height": 64,
"dense": 2,
"dense_units": 66,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.006513143269852199,
"activation": "leaky_relu"
},
{
"width": 27,
"height": 22,
"dense": 2,
"dense_units": 63,
"epochs": 32,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.004423960036586032,
"activation": "leaky_relu"
},
{
"width": 26,
"height": 31,
"dense": 3,
"dense_units": 60,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.005111061742810615,
"activation": "leaky_relu"
},
{
"width": 43,
"height": 46,
"dense": 2,
"dense_units": 52,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.00530175907992277,
"activation": "leaky_relu"
},
{
"width": 44,
"height": 35,
"dense": 2,
"dense_units": 70,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0027427031096792782,
"activation": "leaky_relu"
},
{
"width": 57,
"height": 27,
"dense": 3,
"dense_units": 38,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004262413093506707,
"activation": "leaky_relu"
},
{
"width": 45,
"height": 41,
"dense": 1,
"dense_units": 49,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0069358958012950295,
"activation": "leaky_relu"
},
{
"width": 62,
"height": 46,
"dense": 3,
"dense_units": 62,
"epochs": 32,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.005541525928224951,
"activation": "leaky_relu"
},
{
"width": 40,
"height": 28,
"dense": 2,
"dense_units": 54,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.003160550568874815,
"activation": "leaky_relu"
},
{
"width": 22,
"height": 41,
"dense": 1,
"dense_units": 62,
"epochs": 30,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.005112515158819681,
"activation": "leaky_relu"
},
{
"width": 52,
"height": 23,
"dense": 2,
"dense_units": 44,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0037712615772678825,
"activation": "leaky_relu"
},
{
"width": 21,
"height": 33,
"dense": 3,
"dense_units": 56,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.005165813109943136,
"activation": "leaky_relu"
},
{
"width": 24,
"height": 42,
"dense": 2,
"dense_units": 38,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0065399584035184255,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 54,
"dense": 2,
"dense_units": 77,
"epochs": 26,
"conv": 2,
"conv_filters": 10,
"learning_rate": 0.00360074952150412,
"activation": "leaky_relu"
},
{
"width": 26,
"height": 29,
"dense": 3,
"dense_units": 58,
"epochs": 32,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.004523795970863835,
"activation": "leaky_relu"
},
{
"width": 43,
"height": 25,
"dense": 3,
"dense_units": 56,
"epochs": 34,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0050578760666387555,
"activation": "leaky_relu"
},
{
"width": 42,
"height": 21,
"dense": 5,
"dense_units": 44,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0010449259426035932,
"activation": "leaky_relu"
},
{
"width": 40,
"height": 49,
"dense": 1,
"dense_units": 75,
"epochs": 30,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.005967164999363571,
"activation": "leaky_relu"
},
{
"width": 54,
"height": 39,
"dense": 2,
"dense_units": 72,
"epochs": 29,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.004866114328026399,
"activation": "leaky_relu"
},
{
"width": 32,
"height": 34,
"dense": 3,
"dense_units": 51,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.006615573883552062,
"activation": "leaky_relu"
},
{
"width": 22,
"height": 26,
"dense": 3,
"dense_units": 59,
"epochs": 33,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0045421319740851784,
"activation": "leaky_relu"
},
{
"width": 31,
"height": 39,
"dense": 4,
"dense_units": 55,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.007135473179329596,
"activation": "leaky_relu"
},
{
"width": 29,
"height": 49,
"dense": 3,
"dense_units": 49,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.007604157845278088,
"activation": "leaky_relu"
},
{
"width": 52,
"height": 35,
"dense": 1,
"dense_units": 64,
"epochs": 31,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.006521819887716778,
"activation": "leaky_relu"
},
{
"width": 46,
"height": 38,
"dense": 4,
"dense_units": 42,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.0080198168198151,
"activation": "leaky_relu"
},
{
"width": 50,
"height": 32,
"dense": 3,
"dense_units": 47,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.006991585571174939,
"activation": "leaky_relu"
},
{
"width": 45,
"height": 35,
"dense": 5,
"dense_units": 76,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.007223910837438904,
"activation": "leaky_relu"
},
{
"width": 41,
"height": 32,
"dense": 2,
"dense_units": 63,
"epochs": 24,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.007662133403140533,
"activation": "leaky_relu"
},
{
"width": 31,
"height": 57,
"dense": 3,
"dense_units": 62,
"epochs": 27,
"conv": 2,
"conv_filters": 11,
"learning_rate": 0.0057494505753684574,
"activation": "leaky_relu"
},
{
"width": 47,
"height": 37,
"dense": 2,
"dense_units": 51,
"epochs": 27,
"conv": 2,
"conv_filters": 11,
"learning_rate": 0.00424712908748814,
"activation": "leaky_relu"
},
{
"width": 30,
"height": 45,
"dense": 4,
"dense_units": 43,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.009018043594072505,
"activation": "leaky_relu"
},
{
"width": 49,
"height": 49,
"dense": 2,
"dense_units": 58,
"epochs": 30,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.007666913942277865,
"activation": "leaky_relu"
},
{
"width": 30,
"height": 27,
"dense": 2,
"dense_units": 62,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.0030159297032699775,
"activation": "leaky_relu"
},
{
"width": 46,
"height": 38,
"dense": 2,
"dense_units": 49,
"epochs": 31,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.004951359304099248,
"activation": "leaky_relu"
},
{
"width": 65,
"height": 62,
"dense": 2,
"dense_units": 52,
"epochs": 28,
"conv": 2,
"conv_filters": 11,
"learning_rate": 0.00651942792351135,
"activation": "leaky_relu"
},
{
"width": 41,
"height": 31,
"dense": 2,
"dense_units": 43,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.008699284217030909,
"activation": "leaky_relu"
},
{
"width": 58,
"height": 51,
"dense": 2,
"dense_units": 36,
"epochs": 29,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.008319072088187161,
"activation": "leaky_relu"
},
{
"width": 28,
"height": 37,
"dense": 3,
"dense_units": 32,
"epochs": 34,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.009388095588102245,
"activation": "leaky_relu"
},
{
"width": 34,
"height": 39,
"dense": 2,
"dense_units": 62,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.009445684558326343,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 22,
"dense": 2,
"dense_units": 39,
"epochs": 28,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.001517699058539733,
"activation": "leaky_relu"
},
{
"width": 36,
"height": 23,
"dense": 1,
"dense_units": 48,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.006446825427991692,
"activation": "leaky_relu"
},
{
"width": 47,
"height": 33,
"dense": 4,
"dense_units": 45,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.00873844216061047,
"activation": "leaky_relu"
},
{
"width": 74,
"height": 42,
"dense": 2,
"dense_units": 51,
"epochs": 28,
"conv": 2,
"conv_filters": 11,
"learning_rate": 0.007158809026659063,
"activation": "leaky_relu"
},
{
"width": 25,
"height": 35,
"dense": 3,
"dense_units": 38,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.00882792244655519,
"activation": "leaky_relu"
},
{
"width": 29,
"height": 39,
"dense": 3,
"dense_units": 28,
"epochs": 33,
"conv": 2,
"conv_filters": 14,
"learning_rate": 0.011923105207959516,
"activation": "leaky_relu"
},
{
"width": 54,
"height": 41,
"dense": 2,
"dense_units": 59,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.010212859871528021,
"activation": "leaky_relu"
},
{
"width": 57,
"height": 24,
"dense": 6,
"dense_units": 37,
"epochs": 34,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.011620921214791241,
"activation": "leaky_relu"
},
{
"width": 39,
"height": 29,
"dense": 3,
"dense_units": 41,
"epochs": 30,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.008901589230334964,
"activation": "leaky_relu"
},
{
"width": 32,
"height": 33,
"dense": 2,
"dense_units": 45,
"epochs": 28,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.007223418362315212,
"activation": "leaky_relu"
},
{
"width": 45,
"height": 37,
"dense": 2,
"dense_units": 60,
"epochs": 36,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.011866548595934131,
"activation": "swish"
},
{
"width": 49,
"height": 22,
"dense": 2,
"dense_units": 69,
"epochs": 26,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.000730710961374805,
"activation": "leaky_relu"
},
{
"width": 69,
"height": 50,
"dense": 3,
"dense_units": 69,
"epochs": 27,
"conv": 2,
"conv_filters": 11,
"learning_rate": 0.009374446588658316,
"activation": "leaky_relu"
},
{
"width": 26,
"height": 44,
"dense": 2,
"dense_units": 51,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.009952277334615423,
"activation": "leaky_relu"
},
{
"width": 26,
"height": 24,
"dense": 1,
"dense_units": 70,
"epochs": 31,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.007540773537255539,
"activation": "leaky_relu"
},
{
"width": 69,
"height": 21,
"dense": 2,
"dense_units": 33,
"epochs": 33,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.02052161371514743,
"activation": "swish"
},
{
"width": 35,
"height": 34,
"dense": 2,
"dense_units": 75,
"epochs": 25,
"conv": 1,
"conv_filters": 10,
"learning_rate": 0.008833939562795386,
"activation": "leaky_relu"
},
{
"width": 41,
"height": 48,
"dense": 1,
"dense_units": 28,
"epochs": 30,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.010164283511286102,
"activation": "swish"
},
{
"width": 47,
"height": 43,
"dense": 1,
"dense_units": 54,
"epochs": 28,
"conv": 2,
"conv_filters": 11,
"learning_rate": 0.015146189952776522,
"activation": "leaky_relu"
},
{
"width": 56,
"height": 42,
"dense": 1,
"dense_units": 36,
"epochs": 32,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.011528899713755826,
"activation": "swish"
},
{
"width": 31,
"height": 31,
"dense": 2,
"dense_units": 63,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.006845141119497787,
"activation": "leaky_relu"
},
{
"width": 51,
"height": 43,
"dense": 2,
"dense_units": 92,
"epochs": 28,
"conv": 2,
"conv_filters": 12,
"learning_rate": 0.008703699488079315,
"activation": "swish"
},
{
"width": 57,
"height": 54,
"dense": 2,
"dense_units": 44,
"epochs": 27,
"conv": 2,
"conv_filters": 11,
"learning_rate": 0.022118659320737283,
"activation": "swish"
},
{
"width": 28,
"height": 55,
"dense": 5,
"dense_units": 56,
"epochs": 29,
"conv": 2,
"conv_filters": 11,
"learning_rate": 0.015466691807586093,
"activation": "swish"
},
{
"width": 52,
"height": 34,
"dense": 3,
"dense_units": 45,
"epochs": 35,
"conv": 2,
"conv_filters": 14,
"learning_rate": 0.014781379929988753,
"activation": "swish"
},
{
"width": 25,
"height": 67,
"dense": 2,
"dense_units": 33,
"epochs": 29,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.02101730669930609,
"activation": "leaky_relu"
},
{
"width": 62,
"height": 23,
"dense": 1,
"dense_units": 91,
"epochs": 26,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 47,
"height": 56,
"dense": 5,
"dense_units": 83,
"epochs": 27,
"conv": 2,
"conv_filters": 11,
"learning_rate": 0.017626462351205425,
"activation": "swish"
},
{
"width": 41,
"height": 47,
"dense": 4,
"dense_units": 65,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.019585570513808187,
"activation": "swish"
},
{
"width": 42,
"height": 41,
"dense": 4,
"dense_units": 41,
"epochs": 34,
"conv": 2,
"conv_filters": 14,
"learning_rate": 0.019208217755915365,
"activation": "swish"
},
{
"width": 24,
"height": 33,
"dense": 6,
"dense_units": 44,
"epochs": 34,
"conv": 2,
"conv_filters": 14,
"learning_rate": 0.013825667874393058,
"activation": "relu"
},
{
"width": 40,
"height": 25,
"dense": 2,
"dense_units": 68,
"epochs": 27,
"conv": 1,
"conv_filters": 11,
"learning_rate": 0.002197419075143546,
"activation": "leaky_relu"
},
{
"width": 26,
"height": 50,
"dense": 1,
"dense_units": 41,
"epochs": 35,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.02420282453142537,
"activation": "swish"
},
{
"width": 41,
"height": 33,
"dense": 3,
"dense_units": 40,
"epochs": 32,
"conv": 2,
"conv_filters": 14,
"learning_rate": 0.014951942472501291,
"activation": "leaky_relu"
},
{
"width": 50,
"height": 39,
"dense": 2,
"dense_units": 48,
"epochs": 33,
"conv": 2,
"conv_filters": 13,
"learning_rate": 0.014936663572830348,
"activation": "leaky_relu"
},
{
"width": 50,
"height": 42,
"dense": 4,
"dense_units": 33,
"epochs": 33,
"conv": 2,
"conv_filters": 14,
"learning_rate": 0.024806763803230852,
"activation": "relu"
},
{
"width": 37,
"height": 51,
"dense": 2,
"dense_units": 67,
"epochs": 27,
"conv": 2,
"conv_filters": 11,
"learning_rate": 0.026138282747680344,
"activation": "swish"
},
{
"width": 24,
"height": 35,
"dense": 15,
"dense_units": 20,
"epochs": 14,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0829984724541006,
"activation": "sigmoid"
},
{
"width": 20,
"height": 38,
"dense": 8,
"dense_units": 92,
"epochs": 12,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07699687047830812,
"activation": "sigmoid"
},
{
"width": 33,
"height": 39,
"dense": 2,
"dense_units": 67,
"epochs": 32,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.09450690982689891,
"activation": "sigmoid"
},
{
"width": 35,
"height": 32,
"dense": 28,
"dense_units": 69,
"epochs": 28,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08659352824329204,
"activation": "sigmoid"
},
{
"width": 22,
"height": 30,
"dense": 10,
"dense_units": 49,
"epochs": 2,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07475161693813341,
"activation": "sigmoid"
},
{
"width": 46,
"height": 34,
"dense": 9,
"dense_units": 91,
"epochs": 3,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07720994596046622,
"activation": "sigmoid"
},
{
"width": 28,
"height": 33,
"dense": 19,
"dense_units": 3,
"epochs": 7,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07821369009302621,
"activation": "sigmoid"
},
{
"width": 27,
"height": 31,
"dense": 6,
"dense_units": 7,
"epochs": 11,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.08015165007521212,
"activation": "sigmoid"
},
{
"width": 22,
"height": 37,
"dense": 2,
"dense_units": 81,
"epochs": 10,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07634589650209293,
"activation": "sigmoid"
},
{
"width": 37,
"height": 33,
"dense": 3,
"dense_units": 2,
"epochs": 8,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07966756644049676,
"activation": "sigmoid"
},
{
"width": 30,
"height": 35,
"dense": 29,
"dense_units": 127,
"epochs": 24,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08319872632329221,
"activation": "sigmoid"
},
{
"width": 22,
"height": 31,
"dense": 18,
"dense_units": 61,
"epochs": 10,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07877764076162437,
"activation": "sigmoid"
},
{
"width": 49,
"height": 34,
"dense": 25,
"dense_units": 62,
"epochs": 20,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0846892603945683,
"activation": "sigmoid"
},
{
"width": 27,
"height": 37,
"dense": 6,
"dense_units": 89,
"epochs": 15,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08096750885511231,
"activation": "sigmoid"
}
],
"means": {
"VAL_ACCURACY": [
0.7971501705540804,
0.7940336336329807,
0.7926766357855523,
0.7900693688621594,
0.7986961835212651,
0.7877235483549561,
0.7826204995513596,
0.7946284691361052,
0.7980276716375596,
0.7959691221539364,
0.7797032805455779,
0.792022273466588,
0.7850096871073686,
0.7931460270504486,
0.7862931991436175,
0.7843658990483682,
0.7928502726424517,
0.7821979503907642,
0.7778973220550826,
0.7911127519212212,
0.7896974960037585,
0.7751706505152063,
0.7764707791292,
0.7819553400431637,
0.7989714104651914,
0.7884216684451087,
0.7933268738651185,
0.7944037735577132,
0.7893225964547526,
0.7855914739437929,
0.7953767638512674,
0.7608555112196074,
0.7787437912612784,
0.7855188012216898,
0.7892616742666311,
0.7853750407086855,
0.79532623712486,
0.7912169515845634,
0.7916380435914541,
0.7790917566570811,
0.7881374680597886,
0.7612293215512098,
0.7695224386700658,
0.7942093939230244,
0.7598928045168657,
0.7819455418193506,
0.7909220474859767,
0.7796256407524489,
0.7829000407118862,
0.7480955164673837,
0.7930225325664193,
0.747012561689981,
0.7770113946962468,
0.7716198846335289,
0.7560318549854446,
0.7843878615743296,
0.7808575189845405,
0.794776811728678,
0.7747072389193477,
0.7165352468852211,
0.7810779885637917,
0.7087045043568481,
0.7860213508436742,
0.7422287483095553,
0.7927939941275369,
0.6927306992053762,
0.7090880949795166,
0.715729748788015,
0.7506451116717774,
0.7288750769021106,
0.7414294593592103,
0.6972240677771526,
0.7565994669605585,
0.745206861266702,
0.73392817217027,
0.7919013771620618,
0.733093463864688,
0.7605523167153398,
0.7912132923255482,
0.7187480746627835,
0.7183702128206347,
0.29160360275493513,
0.2954528077908198,
0.27706099366641457,
0.29737783131065726,
0.32086209201304655,
0.3207182428413936,
0.30309056983262755,
0.2838094143154643,
0.309564639035304,
0.3071440893483973,
0.2925941069754986,
0.29255595233931037,
0.2929536063285009,
0.29103831915861655
],
"VAL_LOSS": [
22016825645.217087,
-112265740900.41058,
2284956461378.646,
60723329298.52855,
1930606706.3820648,
13654207410.464073,
530611349881.46295,
2331861881848.61,
830034286909.7356,
14101017398.065208,
-78683132408.9932,
635385958264.18,
-102537159399.37018,
68628484140.795425,
2431632005716.19,
-1335448047.6285248,
2434859644069.789,
2398546936470.7773,
-75674493191.65091,
574463185281.3685,
31438655816.20765,
43399697552.85524,
1143162660206.816,
25635141455.399284,
1940742856746.081,
734974489661.1605,
2022803077584.4404,
2170112166134.6768,
113125444198.3128,
542952831622.76294,
230781755399.20093,
638805612480.3137,
47599605488.02202,
2028385750005.6597,
470898982116.83685,
2099414408023.9326,
308599719224.40955,
396864975347.34436,
547452605071.2212,
-44308015775.07982,
1031797673279.9225,
-81353077398.37936,
2231042228063.5293,
1758376802091.859,
-15303677491.120071,
170622178046.21692,
458770075155.45856,
250120934384.0797,
2369984613547.4585,
2170104324824.7666,
18585899684.16839,
8228924474.864456,
93479645674.48477,
314914224581.14166,
-1049651048.7794342,
-11851120851.3703,
68170616739.10252,
2331647819940.095,
572909524774.5703,
-220019419.14788818,
200517411130.80997,
-1024949908.2422028,
469201137986.506,
-1456519549.9015656,
354866125920.7808,
-2933793591.9737244,
-1771779896.9506989,
760342351.5305786,
-1503249678.1919708,
616311299523.3197,
-17787696211.177948,
-2988896555.883301,
-654351387.6409607,
-689453725.7335663,
-284206998.1795654,
66590874646.57888,
749439369.2934189,
1037570037007.5221,
231565217814.85928,
-1770625009.935913,
117743526.87194824,
-1763026061.4557953,
-571052554.8808899,
1423213061.5703964,
945229694.0052109,
-161740617.96266174,
1324862138.9261856,
321316545.844162,
-693150639.146698,
-1599806907.3209534,
1414783840.7397995,
-200832314.8968048,
-1539484358.2687988,
52945482.92764282,
-1325065097.47583
],
"RAM_USAGE": [
724.9050115056938,
763.758902894397,
717.9640546172914,
754.6360927340737,
704.3886623366799,
788.7578085766576,
673.40247434397,
699.8502532450432,
743.2623297586795,
708.7108528422416,
724.0972106492499,
731.2849188803783,
785.7565970262905,
684.8609466386952,
696.5877291620307,
691.750241798456,
693.8591586742411,
700.4106914625348,
800.3318529017681,
679.7146741061341,
694.9585282313009,
691.0135550623104,
751.793501841507,
758.715555912631,
708.5514079937884,
673.929061102403,
719.7699223128955,
723.541315679227,
735.7573338260753,
735.9819891240445,
729.1688425274485,
757.1517543925721,
691.71431856654,
737.3419442981381,
722.7194426260718,
721.3109770699353,
759.5384987948521,
676.0233161989127,
730.9120310638439,
806.2221203968331,
710.1643835487466,
763.1574398096325,
703.1402030351092,
720.9370972251883,
697.0323224906408,
672.5975492920539,
729.8008474285405,
772.0856267084864,
697.7749365825149,
707.9400354423774,
758.2948913189473,
711.2791406504593,
686.074588357373,
679.6638175550622,
735.4382850629402,
695.4882969070757,
806.4464329565214,
709.2785474075575,
672.1035121437371,
740.4543934926362,
693.4241330583462,
727.7479683068489,
731.0822267514495,
744.447108536082,
681.1604077876195,
780.8710783522615,
767.5429235890919,
730.0904790730317,
740.5099036812222,
702.1720781622942,
728.3856343169974,
799.3820975111045,
759.4022673971231,
739.2893608439509,
704.0768928604209,
688.0051650219349,
710.4676241394956,
718.0534393787023,
739.1813005084264,
744.8540660917156,
737.5582835305223,
741.3647369420727,
725.5660538807679,
721.1251977738469,
825.0304023921913,
711.0398137010791,
771.7962906493436,
760.3510037004378,
718.1574648611927,
699.4410959351178,
718.9120521207298,
870.3314069179288,
746.3675197682346,
838.1641418583785,
728.0874476354726
],
"RUNTIME": [
194.72992938009753,
142.60383374940932,
135.46091224165838,
144.62608984810083,
162.5008368353748,
208.35198244165883,
135.53407935724113,
146.78740047533526,
142.9339773451531,
157.07038516755853,
164.42015062349628,
134.23274589335176,
154.31921986582412,
141.5519777561543,
134.07975560695138,
147.58413202669183,
140.31250502513882,
129.17018329890465,
166.12760653840147,
134.4798343013558,
142.99707739088973,
143.13421455671127,
146.7958495477609,
144.97485531146373,
138.2416704830939,
132.5308271350753,
130.89850931110908,
144.4421534442224,
151.03404875310952,
135.38818993959774,
146.62133497638825,
137.82987022175502,
144.41146357219995,
162.48834747743996,
156.25266994794703,
133.59868766454903,
150.87898810482687,
134.9380960571208,
135.18765196318162,
209.40923672647486,
147.40548548299415,
162.89496977789435,
131.38226842930214,
129.6392288191477,
154.69628954060306,
138.1543731947623,
142.59567134033563,
160.8879909760228,
134.41241881052073,
121.80988754279352,
136.61483266495463,
152.1735341048314,
141.56462758606614,
142.0218392011944,
127.79581944743504,
141.97964513966923,
162.34608777739044,
129.38373464623268,
134.7458797079908,
140.23316600945736,
145.33984646037777,
124.53327723845773,
141.5849257577717,
126.04666103301707,
138.88524152407035,
125.80364373025189,
134.44704214612466,
124.35036858595961,
128.54279824163837,
165.03016525827172,
149.02709201594703,
135.63616707831497,
118.35820416354055,
114.03527190769782,
121.42489890381762,
138.3221047243864,
117.01479491660949,
128.40176371158336,
132.27283385266924,
114.90552740440108,
113.6417740545315,
8.504718291926451,
9.513680892416374,
20.420162761611238,
23.632829484530617,
14.682988056435363,
19.044741218182082,
10.856691007487768,
16.046516360686354,
8.49525781132985,
13.785343594503217,
14.95378853383329,
12.99746229844203,
22.84786182227174,
9.435965274315265
]
},
"sems": {
"VAL_ACCURACY": [
0.08110076082321568,
0.06465843087341192,
0.06667437859425733,
0.06236186698397227,
0.0780165501242909,
0.07296295030311423,
0.07220751298929733,
0.06558411135832803,
0.06359230386556086,
0.07284739627334977,
0.06538131859496617,
0.06538698757271447,
0.08462189036972295,
0.07805825677721522,
0.08680229715096358,
0.06613481771164187,
0.06755815429078336,
0.0644057189546975,
0.05631477513743754,
0.06816857607013811,
0.06407385266813626,
0.06874054572710543,
0.08929876360487067,
0.085477788850123,
0.061846609525202496,
0.06809898112396495,
0.060990290259312914,
0.06414068387452561,
0.08633904283379061,
0.06020761260826338,
0.06202111732584054,
0.07589119557237017,
0.040191237771964455,
0.07163177144991982,
0.07437667198027248,
0.06045348887939872,
0.08180715028549833,
0.07482312159425593,
0.06565698283661106,
0.07977830377623399,
0.06036272929314969,
0.08352576396129455,
0.06204463530486998,
0.0657668799311159,
0.08473622702760387,
0.0849765516690768,
0.06250275864528324,
0.08015263106208792,
0.06347846608706748,
0.058819281575784664,
0.06589435509735322,
0.07254089657570496,
0.08143153481058993,
0.08167660509575699,
0.06340252254623947,
0.07211011775813633,
0.07409586457162554,
0.06367127775559363,
0.09062025745343401,
0.08692312981556252,
0.046681507993241236,
0.09011771135174321,
0.07787497106070729,
0.08321524841878243,
0.07334179724886528,
0.10015554455541945,
0.08958583103421816,
0.0884206579167894,
0.06352717397166983,
0.08521054274793934,
0.08511921879891442,
0.08556920582557548,
0.07682064883381713,
0.06860803712797442,
0.07077161137229174,
0.07495423340611015,
0.07841214007655699,
0.049132285825959285,
0.06336083692412725,
0.07479651195229327,
0.08905252879840152,
0.12531314675894326,
0.10695466511495756,
0.12416166302229881,
0.13097753478795993,
0.11706163804523662,
0.1049824585884986,
0.12876079319507017,
0.11686648294707262,
0.11589884260213287,
0.11261887982001072,
0.1303307508363298,
0.10981014086746296,
0.1279546141365195,
0.1176365973164077
],
"VAL_LOSS": [
44662089441.73367,
27877560483.064053,
372749314636.6786,
50653541204.479706,
26362975344.24355,
17283787143.211475,
372277477371.82623,
388413070331.1236,
155971809733.0326,
43932303972.83195,
29000116302.353294,
134279084350.63577,
26934598340.369877,
98955954859.77518,
447056552290.2295,
15502332556.838146,
460692204547.90436,
418510450242.5206,
24975397713.445778,
392269443402.3797,
59682729415.20646,
72434774090.78952,
188567205697.67816,
40048547936.15216,
294872969634.6016,
463825581242.5523,
310289926200.34827,
341001845759.4546,
59022499930.496574,
124313497907.28636,
80742350540.02486,
134638277605.06213,
81460036081.21979,
309220349457.6419,
111171412012.21252,
325627076611.19214,
90364631521.45984,
306941782481.8162,
123268756859.14996,
21071238679.199337,
178277299828.7024,
23424686445.271767,
357024214433.7714,
265496957014.2447,
58094231767.053505,
175221668775.3406,
113144650525.48407,
123385969909.96895,
403553178413.4695,
341039110646.87317,
41295449500.4331,
13383495401.608685,
116575650413.5579,
261965419920.76898,
22670490467.068985,
15488819494.874044,
38198189148.58527,
388178557791.5885,
392192164548.4848,
17306704037.03351,
194969898824.99847,
18846014320.184925,
111125268247.85847,
19195702079.003395,
284427676636.98096,
22491858265.385162,
17984132731.96054,
17369094848.329273,
21658088963.450584,
410670648601.0684,
28642039674.83597,
22244084408.64032,
19426699557.872234,
19840623752.435516,
20013921289.46156,
99002016083.392,
17706994347.004925,
177467674352.73325,
80306054447.10852,
16959479306.77988,
18006263753.418068,
15973763587.88223,
16713795312.726397,
13144947694.447603,
15631086930.482927,
15838199780.7288,
20508773262.174183,
18704266250.6868,
16724962460.066095,
14192414895.91797,
15624042339.355097,
18763248549.13226,
15372190372.218916,
18128561090.916473,
13709470926.856277
],
"RAM_USAGE": [
8.364707610093538,
9.27531350014372,
10.69419878919073,
8.919820255143895,
9.20525996011184,
10.600130547278669,
15.648721827624783,
11.350069259586935,
8.919007057961618,
9.272985807825549,
10.028517720891637,
9.098722415276399,
9.502242005420065,
11.529940302045311,
12.180532695800633,
12.483786013050203,
12.602622376559143,
12.320068595755103,
10.28088410382822,
13.975389982340765,
12.133394026629881,
13.889846795013263,
9.350102935268302,
8.803806951194463,
10.120137131468255,
15.976459285192048,
9.861463148678265,
10.29161328618298,
9.133229124681494,
8.732979051091165,
9.018812788796513,
8.614175230970135,
10.233779162062827,
9.912928149033133,
8.641368024132388,
10.21452070034024,
8.770449998028042,
13.514455166442687,
8.787497699089581,
11.821560501390572,
9.804841579391912,
9.951321314549796,
11.690976913891603,
9.55354611164188,
13.522651438979537,
14.102976553189173,
8.847704976025588,
12.296838685636178,
12.123939785778955,
11.73154435634501,
8.800929226869991,
11.989045651792921,
11.701593865013567,
12.181415539343966,
11.221170606772501,
12.361647208479987,
10.856614168771207,
11.099434106354206,
15.312031901355677,
15.794638366808584,
10.839602371197321,
12.180075362233426,
8.795465000167093,
12.17815668254721,
12.222180135021798,
11.754310351001603,
11.765464928119352,
10.019992685576327,
11.402741941493774,
13.989151294464104,
13.45292474571653,
10.067147890433189,
9.992457621344899,
10.61561294596689,
11.291547669974365,
12.174124193212112,
12.194234877264341,
9.319947405481713,
8.755157965875043,
10.160846074386882,
10.170780632911633,
13.760959646923817,
12.30421769210956,
11.587951136594667,
15.317680983479573,
13.387162088831344,
10.121788836537771,
17.764326770228934,
16.080212298602092,
12.18076371229975,
16.662112458568302,
18.926059742491564,
13.68033390134803,
13.035926322111791,
10.476508354688985
],
"RUNTIME": [
27.996754538185357,
93.82650279976623,
94.15840952813352,
93.83843658020155,
38.630580999186236,
47.19657041568923,
83.96421002588978,
95.42535515075271,
92.49300398821889,
41.160418495787795,
94.96499540668597,
91.97956661851072,
97.97591461227535,
58.25689457210819,
97.5872534478272,
73.7594080365843,
95.86464384758867,
94.33615309006052,
98.60751186962021,
69.55548769742103,
70.6310323259289,
81.70765398191429,
94.53314190667,
94.93921613259874,
93.10750609522447,
77.9301495414308,
93.40331583122247,
91.58463575655492,
93.81130037251391,
91.9922355275964,
91.67952212856878,
91.12018960379336,
38.77130372379553,
94.30642349979362,
94.70090732282438,
92.55550823018127,
94.73508643644512,
65.67714585063548,
91.90012183532781,
100.64817527670444,
92.00849318068099,
95.83646483200688,
93.29888955467513,
91.9306873931542,
70.22561375431665,
76.25994283145243,
90.89487152457896,
99.16945114376692,
93.7610778962754,
87.12122094767506,
91.58044306274402,
69.60854582291807,
60.54638587198447,
56.225674782999,
99.95167634364039,
70.68656102642338,
98.72926757734987,
92.68734766839752,
78.65099993770409,
64.38607780553455,
39.41670012859864,
90.17992520164925,
92.58523778051932,
97.65233254467529,
55.74832022751888,
98.83915459125889,
90.28745760589241,
86.46625976597686,
96.89089203766999,
48.25258001388197,
66.63332552448993,
86.98020897801284,
89.66347081389604,
91.74871405299218,
78.19136795545418,
65.40806646926703,
84.57163717681247,
84.73036609123798,
89.75091006899422,
71.24753008347538,
86.8832669558212,
72.78931026077338,
71.93349848410494,
77.22119745539727,
75.26087280774047,
66.79769852246659,
77.89723381978656,
71.84269811587596,
68.72336401211099,
71.97086677254266,
73.60642104909587,
72.88354669395808,
68.1837073015244,
77.95166995272763,
72.28581978246783
]
},
"absolute_metrics": [
"VAL_ACCURACY",
"VAL_LOSS",
"RAM_USAGE",
"RUNTIME"
]
}
},
"VAL_LOSS": {
"RAM_USAGE": {
"param_dicts": [
{
"width": 66,
"height": 73,
"dense": 20,
"dense_units": 44,
"epochs": 40,
"conv": 4,
"conv_filters": 5,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 41,
"dense": 1,
"dense_units": 124,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 69,
"dense": 6,
"dense_units": 28,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 35,
"dense": 1,
"dense_units": 91,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 50,
"dense": 1,
"dense_units": 2,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 22,
"dense": 1,
"dense_units": 17,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 27,
"dense": 1,
"dense_units": 12,
"epochs": 40,
"conv": 4,
"conv_filters": 2,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 37,
"dense": 1,
"dense_units": 43,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 32,
"dense": 1,
"dense_units": 23,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 20,
"dense": 1,
"dense_units": 2,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 23,
"dense": 1,
"dense_units": 24,
"epochs": 40,
"conv": 3,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 24,
"dense": 1,
"dense_units": 51,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 26,
"dense": 1,
"dense_units": 28,
"epochs": 40,
"conv": 3,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 20,
"dense": 1,
"dense_units": 38,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 20,
"dense": 1,
"dense_units": 51,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 20,
"dense": 1,
"dense_units": 23,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 24,
"dense": 1,
"dense_units": 18,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 22,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 4,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0013355484923524322,
"activation": "sigmoid"
},
{
"width": 66,
"height": 20,
"dense": 1,
"dense_units": 26,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 21,
"height": 20,
"dense": 1,
"dense_units": 46,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.0017931310845519795,
"activation": "sigmoid"
},
{
"width": 21,
"height": 20,
"dense": 1,
"dense_units": 58,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.006272843671777582,
"activation": "tanh"
},
{
"width": 21,
"height": 20,
"dense": 1,
"dense_units": 47,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.003633870895812097,
"activation": "sigmoid"
},
{
"width": 21,
"height": 20,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.005474229578468697,
"activation": "tanh"
},
{
"width": 21,
"height": 20,
"dense": 1,
"dense_units": 48,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.006201459183832458,
"activation": "sigmoid"
},
{
"width": 63,
"height": 20,
"dense": 1,
"dense_units": 26,
"epochs": 40,
"conv": 3,
"conv_filters": 1,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 21,
"height": 20,
"dense": 1,
"dense_units": 47,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.006309661748790722,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.008719888053049985,
"activation": "tanh"
},
{
"width": 21,
"height": 20,
"dense": 1,
"dense_units": 47,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.0064250365948845195,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 53,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.010210931991429936,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 55,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.011176415650590184,
"activation": "tanh"
},
{
"width": 22,
"height": 20,
"dense": 1,
"dense_units": 43,
"epochs": 1,
"conv": 1,
"conv_filters": 15,
"learning_rate": 0,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.011619858052801843,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 60,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.005584956586608657,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 59,
"epochs": 3,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.02392618718605292,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 49,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.01288058314492648,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.012535427083134057,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 49,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.012551371551877782,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 50,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.012765752114929295,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 15,
"learning_rate": 0.00291709556313109,
"activation": "sigmoid"
},
{
"width": 20,
"height": 21,
"dense": 1,
"dense_units": 61,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.03065268616155398,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 58,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.019474881130099365,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 39,
"epochs": 1,
"conv": 1,
"conv_filters": 15,
"learning_rate": 0,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 56,
"epochs": 4,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.02196842987130044,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 55,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.018164951087468923,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 48,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.013255971643860588,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 48,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.007099253434954374,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.02300868603148053,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 43,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.015015546270552151,
"activation": "relu"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 56,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.025380094440076176,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 53,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.01901925758446837,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 48,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.019978248766191028,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 50,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.017061318861253092,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 49,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.016384333439230785,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 57,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.021010104901567253,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 50,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.01715515284696004,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.01911389979413969,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 50,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.024052860692129956,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 54,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.028479129343615572,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.019546691953528986,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.022229536494856487,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 44,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.01186327566423691,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 54,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.022723186441386847,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 53,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.03772737060481136,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.0203399667755174,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 50,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.020815198993219642,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.024741736590228085,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 56,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.022670990218034436,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.027936656503117593,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 46,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.008534351004695753,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 44,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.012836160140360792,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 54,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.018763125992252872,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 54,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.024982502351332703,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 58,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.025788999526966984,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 56,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.02452600933845053,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.02627450703405443,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 50,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.0281881976203796,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.024998401191494882,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 53,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.02409090769357013,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 49,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.021435273347829773,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 53,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.024439253807657796,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 53,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.024630285372898613,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.021401552053296972,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 54,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.027295063580969926,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.022367273098960166,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 54,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.027212663649485515,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 47,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.029946921799519074,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 53,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.035172938350918864,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 53,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.02333982902021704,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 46,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.03045586698107458,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.02314145908556618,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.028149324429844025,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.022721585653856496,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.028479472389915134,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 55,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.02886474374955045,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 13,
"learning_rate": 0.025931715202903955,
"activation": "tanh"
}
],
"means": {
"VAL_ACCURACY": [
0.2914276573444469,
0.22879584142606907,
0.3451847900977848,
0.22883835791951151,
0.3669982050598233,
0.34689378725683784,
0.34633599418526406,
0.2960535324178644,
0.3355670414717041,
0.3689417734986936,
0.33640016664601996,
0.2826588694094897,
0.32829386011944195,
0.3080878444031857,
0.28332533099212126,
0.33651017171420955,
0.3450916164894477,
0.2961463328045874,
0.331021579652712,
0.3026397401387031,
0.18427480789829437,
0.30967017398351426,
0.18913815716981763,
0.3031056098151498,
0.33275983871198167,
0.3029836065436054,
0.19070158382921049,
0.3029893690909629,
0.3111209536679358,
0.19378643277559943,
0.2990421410683184,
0.31104182363663246,
0.3222045068393077,
0.30533450103944865,
0.31061860805342706,
0.19112612508808713,
0.3035984305821705,
0.19048646303897165,
0.30000194370431604,
0.20862066766924303,
0.18912646558217236,
0.298762615974328,
0.2990116468344687,
0.3119084415672705,
0.3104745471338146,
0.18742509023028026,
0.3216986194269862,
0.3088439218642451,
0.32258380736236253,
0.31162113751022497,
0.31083889635259954,
0.19224043624685588,
0.31081733254747906,
0.3123768743961627,
0.19228331679934305,
0.3114599890723012,
0.3113611194813012,
0.3051050082259452,
0.19486651358659357,
0.31161038673597147,
0.30292956753755984,
0.31196289569629515,
0.3054452656085996,
0.3113549708330823,
0.19410314350864977,
0.311720674475247,
0.322510536628068,
0.18947541399624962,
0.3098583713850804,
0.30298085111128553,
0.1853540111110433,
0.31205935882372177,
0.32298918135874427,
0.3225637533963825,
0.3117829505900647,
0.304574368915666,
0.3117313713666386,
0.1980882072169639,
0.3110759396507352,
0.19829480293884857,
0.1984090821052346,
0.19511678428106066,
0.31214910783928723,
0.3043882964021903,
0.31214606940035927,
0.3042932070875,
0.3122243014147812,
0.3047025713268996,
0.3109565902152274,
0.311486242716071,
0.3118538051160619,
0.3116327767712568,
0.3118656661236682,
0.3123666785849907,
0.19778616565577875
],
"VAL_LOSS": [
-315498129045.07104,
-309538674206.01404,
-317649451444.3196,
-307891527501.5619,
-312695012298.10535,
-303837873211.4044,
-305158194381.5501,
-308702039881.8082,
-307115602572.8086,
-303145063113.53815,
-276844330094.88745,
-304480603016.7998,
-277376035408.874,
-303169551876.87976,
-303148543684.00507,
-303174109925.8426,
-304502268480.08026,
-753176843.1832428,
-303174885388.0564,
790049937.8585052,
1125679438.9476929,
790657718.5115814,
1118439632.1139984,
812968281.4568329,
-276319513520.28973,
812504002.1360397,
2363352097.6212845,
813083895.5228348,
1966984992.7351074,
2380447710.4676514,
61338244.46292114,
1973670871.977974,
1946384375.7521362,
1491654833.4030457,
1977762275.090805,
2383324614.940872,
1984056291.433731,
2383604383.433182,
1945861892.7243652,
2498330679.4485626,
2428718340.4259567,
1924414864.6842957,
1209261757.3678055,
2016830344.5758667,
1979031803.3787918,
2350842245.869179,
2039084974.8675156,
3166932969.859268,
2060950303.9556732,
2019804751.1562195,
2020869845.7455673,
2409427125.074936,
1998779686.2667694,
2038286789.3658142,
2410014565.5022354,
2019248883.7908325,
2050620804.5140076,
2095767941.3512878,
2427478968.17984,
2040073609.1192322,
1976177227.00354,
2045880533.4684143,
2169388700.823944,
2026205075.2845383,
2433707144.9407196,
2057667162.7767334,
2041811266.0374374,
2480029698.543129,
1951072382.850212,
1981760820.0107117,
2418513891.495804,
2061797205.783966,
2066828051.8679352,
2054826554.7091064,
2068753273.7838898,
2089011922.8042068,
2059504966.7235947,
2459528799.4200287,
2031529930.7637177,
2461992328.994774,
2463349160.4653854,
2438689690.754753,
2078688793.5761108,
2048108130.7946243,
2078076496.9038162,
2099694003.3041306,
2139549621.0726318,
2057128514.2946243,
2094665819.203949,
2045269919.493637,
2082675736.8287811,
2043463154.8793716,
2085168722.7889786,
2091798834.5983505,
2470419910.911644
],
"RAM_USAGE": [
879.5977290116787,
743.048216268267,
788.4713612223097,
723.5275134186196,
755.8914377772935,
724.9870193782098,
732.9110712199187,
729.6427272249402,
730.792748020353,
730.6143983265946,
707.6988170271673,
713.9249222039109,
708.1698170020303,
714.7884801274704,
710.37341092463,
720.9018693092564,
726.0389293886285,
649.8470022111024,
719.6084991788024,
648.6255683847552,
649.6842041533375,
648.5967587996302,
649.5227707016768,
648.567530417823,
705.3184242717658,
648.5830961554454,
648.9522275948775,
648.5828262638156,
647.9796864010957,
649.057151162879,
649.5088231134685,
647.955786002585,
648.4773487422891,
648.8824981815862,
647.982201460522,
648.9383810034668,
647.9806799280573,
648.9470516754948,
648.311839421741,
649.984017680359,
649.0512433368074,
648.8412747145295,
648.8360174487816,
648.0553486406473,
648.0216739916399,
649.0190119886545,
648.0888727743575,
649.5893099346941,
648.146459689687,
647.9675408552544,
648.0187606192092,
648.9417950145107,
647.9793333749474,
648.2006925838194,
648.9417055767805,
647.9471987541988,
647.9521403334863,
648.1209507048069,
648.9348951520801,
647.9456785788594,
648.2080061371144,
648.0004648064572,
648.0619283453601,
647.9417004249616,
648.9390640353378,
647.9453296566577,
648.1465628356018,
648.8711447398998,
648.1505361082188,
648.2070269350704,
648.8710782891176,
647.9996210817656,
648.2650595738731,
648.1463940752241,
647.9455012834984,
647.968428377827,
647.9453380828443,
648.9515615328581,
647.9778783394233,
648.9513899334443,
648.9513021803235,
648.9285326781403,
647.9994129221158,
647.9852090828857,
647.9994089467248,
648.0195263639298,
647.970269658814,
648.0621745570193,
648.154932288959,
647.9410963482164,
647.9461074199069,
647.9455485905455,
647.9462593049553,
648.0494031797724,
648.9272420935819
],
"RUNTIME": [
235.54649645859485,
204.3784234528886,
198.77617328687907,
211.2884814403887,
195.69590053405173,
221.93084546181203,
227.5629375092545,
209.37338461456267,
214.59769574481382,
223.09504113268702,
239.85788822474967,
220.59776564860016,
252.6069988298061,
222.95088602385232,
222.90680136109074,
223.00702902176565,
220.7365327819378,
195.04116475022118,
222.99535017196627,
196.2431886377351,
146.55862643276947,
194.84865104973804,
148.3717981031627,
196.64452764551552,
228.24004859305902,
196.66362533650744,
148.57961919420063,
196.6755280598941,
195.40551803068215,
148.8919314462139,
198.56463461365018,
195.58381404965502,
194.34850799563287,
197.54670488113902,
195.7646060046556,
149.1622381850343,
197.22460498339865,
149.2140600957189,
198.4841650077208,
151.1938623971879,
148.92465247323992,
198.32653187464817,
197.37287888129651,
196.44873827430175,
195.82036473143899,
148.42629501183796,
196.9011925708381,
144.7695640674803,
197.2959859471653,
196.58896301258667,
196.7689986943579,
149.973255492134,
196.2354146211949,
196.86600844932033,
149.99115987791083,
196.6100739987709,
197.40336222650217,
199.57371743725582,
150.43802876898633,
197.09256606691685,
197.17983040715768,
197.15830095487306,
201.31959064074437,
196.80310078771296,
150.73288708758415,
197.50458770349002,
196.81759058342692,
151.2079455343466,
195.26304775883142,
197.29924458686577,
148.8100377757471,
197.53165278859143,
197.35812293186757,
197.14263046258486,
197.76581801815837,
199.55142332024897,
197.54781601379807,
151.42576110999838,
196.98752463868894,
151.50777451613533,
151.5530623847153,
150.8453978142737,
197.9304929354322,
198.5836468748733,
197.91599615857362,
199.88344185154423,
199.41651137263065,
198.7223216323292,
198.5559055140519,
197.24667189667846,
198.09527796835945,
197.17166916600385,
198.15441115881205,
198.20409707134465,
151.894867155036
]
},
"sems": {
"VAL_ACCURACY": [
0.11399985237826113,
0.11067670066001116,
0.09357944781829898,
0.0952897169801303,
0.0986518240104518,
0.09743749331090765,
0.10180821086304628,
0.09286752008248073,
0.09569361879614642,
0.0997059140484629,
0.09216567975791222,
0.09359136346080299,
0.09124303897027575,
0.09561523411787753,
0.09434461579319547,
0.09710588793736982,
0.09706946625697199,
0.12202744558108104,
0.09681103954936285,
0.12903154566013766,
0.08670702187471545,
0.12446166100458916,
0.08768323921337795,
0.12894713688455922,
0.09245908662238808,
0.12895354398104997,
0.08901452322252446,
0.12895198801146013,
0.12393442140121352,
0.09169676005037934,
0.13089208797424115,
0.12394250253601113,
0.11375168480833533,
0.12237700001382876,
0.12406525480627983,
0.08921332743184118,
0.1288735191986952,
0.0885992822434343,
0.13087652797483862,
0.10250307192510867,
0.09062061725791035,
0.13089498348974743,
0.12182036227831883,
0.12365465285348173,
0.12410840141190528,
0.0859349547955401,
0.11407321039856531,
0.1280899930148731,
0.1133614033422019,
0.12376588149627864,
0.12405246494958325,
0.09000430829132734,
0.12401103096222114,
0.12351936635568533,
0.09003871712676197,
0.12382385673301259,
0.12396791450204458,
0.1288211863436695,
0.09223788253227397,
0.12382812882161118,
0.1289280056295007,
0.12370888565999164,
0.12897565654080512,
0.12388063375990827,
0.09149303580459898,
0.12385458048586225,
0.11331846796950658,
0.09034926400088285,
0.12432166884938009,
0.12892244969757397,
0.08705548646425781,
0.12373227420745651,
0.11298674005524195,
0.1133415622303823,
0.12388071793301857,
0.12888481480480465,
0.12385843179505902,
0.09476965687658652,
0.12400137101848055,
0.09492469070448005,
0.09501030701575179,
0.09236142089083295,
0.12377352774501142,
0.12882889766292585,
0.12377175972807268,
0.1289539219269646,
0.12410885557956591,
0.1288025840307456,
0.12437195583985897,
0.12389633406537158,
0.12392285630400206,
0.12383169737852404,
0.1239314228884958,
0.12374556601810224,
0.09442337086148335
],
"VAL_LOSS": [
133211073827.77438,
138865268403.41592,
135116121945.07846,
139137715491.02158,
137354171776.12183,
140856918630.94055,
140024324514.39764,
138608017834.91653,
139317243873.11966,
141290843354.08673,
63912098924.80063,
140482266341.90533,
63391219148.18504,
141125290359.51895,
141136273493.09024,
141159297247.11093,
140530898035.13736,
28546464976.028088,
141148495812.11322,
31284939814.937706,
33064686948.57202,
31198700293.447296,
33348818702.85638,
31197740633.856316,
64463150533.274086,
31240906049.708725,
34604902901.764,
31241283290.837345,
32607605567.35377,
34540223952.81682,
30255513126.74577,
32658868332.704926,
32308550637.063828,
31649056474.293026,
32785666018.10934,
34684265390.639656,
32842170494.170338,
34720722605.68602,
32770295375.09565,
34605782398.010605,
34532447691.65772,
33265665482.1298,
31185049169.37246,
32667127677.973587,
32829225523.01673,
34723272143.996666,
32845087295.256706,
29088660726.532497,
32780880772.1084,
32755016192.709232,
32962079184.74644,
34798963382.66256,
32844879661.00441,
32668833161.819164,
34800950204.21072,
32792644671.027786,
32997831957.250423,
33062176341.921974,
34789886056.16018,
32871883234.556168,
33032253174.269444,
32815348702.24812,
33493821840.76103,
32858353372.477165,
34887665414.2313,
32945781563.052425,
32699692272.17429,
34963121471.19993,
32852423873.7011,
33045819935.728767,
34631681199.73923,
32882888731.191376,
32730240992.97839,
32754163275.2856,
32995229638.337605,
33197466149.067677,
32953831967.818794,
34882583564.55841,
32961058987.82407,
34893266345.9564,
34899193101.46682,
34869997899.26784,
32959460076.686047,
32973367042.596302,
32956602994.575085,
33379793432.55644,
33311024896.875107,
32928465074.788784,
33375129389.04491,
32933913184.708958,
33060179382.751907,
32885655860.994267,
33072123795.278275,
32981463469.7691,
35005502957.04912
],
"RAM_USAGE": [
16.61510339243677,
26.53408672707266,
21.70478331248984,
21.20538337544333,
27.014089316959083,
26.76172031546441,
25.64236723734728,
21.568173722977097,
24.220045563931603,
30.218915714459875,
20.82165708569899,
22.423031984287075,
19.734489729732704,
24.369582556489476,
23.256773882937964,
26.273424235324427,
26.17437332206927,
19.581957304349928,
25.836570844746547,
20.9001466258702,
20.485223939593645,
20.64031881367059,
20.848015515587196,
20.71220573067849,
21.368582107850862,
20.804688291501794,
21.124227466254112,
20.80472704974996,
20.425678541911818,
20.97627084752667,
21.110431401301362,
20.516043334888696,
19.774784266963337,
19.774723437657062,
20.78953487041402,
21.185357636893418,
20.948279383819866,
21.241251187911956,
20.992980531792746,
20.49922351510027,
20.83253091930786,
22.1930731106513,
19.89904160477359,
20.282873461222138,
20.883707609047075,
21.345667549334017,
20.49118394067246,
21.249610522375207,
20.171601736304797,
20.456610166514665,
20.91154051300445,
21.255301330671116,
20.801983693353215,
20.133152595676254,
21.255667463462334,
20.544130821510453,
20.75034575186048,
20.57465037705619,
21.1561264881966,
20.560739820253314,
21.429917302296857,
20.390946817523446,
20.737708023401048,
20.63885862907109,
21.271920527316123,
20.576233497930307,
20.1526872379563,
21.169274573744477,
21.062733663473526,
21.43208599157441,
21.012148639611745,
20.405125437138327,
20.015743886652057,
20.165398753126926,
20.58660600843273,
20.92706421994366,
20.577921871533498,
21.126757520264633,
20.826296683087527,
21.1287856155758,
21.129912637809305,
21.219176344370705,
20.4212184326661,
20.8015804949063,
20.420617596346457,
21.220232412806716,
20.573528293125005,
20.62949115865135,
21.17172950594826,
20.654685663914968,
20.60023842875772,
20.563626894218235,
20.602746590603473,
20.348887798876408,
21.245175700324864
],
"RUNTIME": [
87.11020446411813,
101.8168224236364,
113.7072997515071,
97.48555558532911,
109.37976253134491,
106.57139242312793,
100.2140271057371,
98.47789727788386,
97.075883537582,
109.97824160745992,
91.77202448547673,
103.44792205235565,
91.17670774401051,
109.86356090535753,
109.8491485264576,
109.89802757225469,
103.52890801864655,
114.74437042267171,
109.88960816917752,
113.78093683932448,
96.4609214623522,
115.1785409200673,
99.33335186083669,
112.7861891834417,
93.33876671786486,
112.76820528771081,
99.60035375879454,
112.74256166429707,
114.19771352995983,
99.5280223526436,
112.33490052013568,
113.94308997822354,
116.6816567507204,
111.21802683566412,
113.72843383149615,
99.54192805597641,
111.71763344511702,
99.5477109372053,
112.20724289736619,
98.08244337866158,
96.65637257849555,
112.98583868806523,
111.3499831611004,
112.74143323168332,
113.66555494525774,
99.67797330536507,
114.21666529885792,
101.37997226114744,
113.88402117452668,
112.6008438313474,
112.46066394934053,
99.53741315954977,
113.09325399738137,
112.22921308605393,
99.53790154391625,
112.58971325129573,
111.74394549498618,
108.38849957027162,
99.54488132690197,
112.04503876877797,
111.8976603686836,
111.94854463901426,
106.67035221521247,
112.37964306457035,
99.58033940966503,
111.61526231033055,
114.24171376050933,
96.88494369388494,
114.54719547179198,
111.6882239436155,
96.68499451391156,
111.56307754374565,
113.82124844390846,
113.99563184429232,
111.35759399744663,
108.47188139157153,
111.57186608750177,
99.63377756551056,
112.20019332965884,
99.64399282489653,
99.64976286122415,
99.5835574181443,
111.17647351543191,
109.63515665826104,
111.1901025200314,
108.15045203273829,
109.93578645446092,
109.42332449476245,
110.71138076348794,
111.8938031321274,
111.04748714242812,
111.96016566233509,
110.99348242010024,
110.91328825520772,
99.70698220351757
]
},
"absolute_metrics": [
"VAL_ACCURACY",
"VAL_LOSS",
"RAM_USAGE",
"RUNTIME"
]
},
"RUNTIME": {
"param_dicts": [
{
"width": 66,
"height": 73,
"dense": 25,
"dense_units": 81,
"epochs": 40,
"conv": 4,
"conv_filters": 4,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 49,
"height": 21,
"dense": 1,
"dense_units": 122,
"epochs": 1,
"conv": 1,
"conv_filters": 9,
"learning_rate": 0,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 37,
"dense": 1,
"dense_units": 5,
"epochs": 19,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.08180141664361831,
"activation": "sigmoid"
},
{
"width": 66,
"height": 29,
"dense": 4,
"dense_units": 122,
"epochs": 40,
"conv": 4,
"conv_filters": 14,
"learning_rate": 0.08067278649274832,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 25,
"dense": 4,
"dense_units": 104,
"epochs": 40,
"conv": 4,
"conv_filters": 15,
"learning_rate": 0.08789626109690471,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 39,
"dense": 1,
"dense_units": 92,
"epochs": 40,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08733466771613022,
"activation": "sigmoid"
},
{
"width": 31,
"height": 37,
"dense": 24,
"dense_units": 55,
"epochs": 17,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07709272501595317,
"activation": "sigmoid"
},
{
"width": 66,
"height": 29,
"dense": 13,
"dense_units": 108,
"epochs": 40,
"conv": 4,
"conv_filters": 1,
"learning_rate": 0.07683944320038325,
"activation": "leaky_relu"
},
{
"width": 66,
"height": 37,
"dense": 11,
"dense_units": 40,
"epochs": 40,
"conv": 4,
"conv_filters": 10,
"learning_rate": 0.1,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 21,
"dense": 11,
"dense_units": 70,
"epochs": 13,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07132086843161561,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 25,
"dense": 5,
"dense_units": 86,
"epochs": 36,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08110864594897857,
"activation": "leaky_relu"
},
{
"width": 31,
"height": 41,
"dense": 30,
"dense_units": 38,
"epochs": 38,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08607358243781449,
"activation": "sigmoid"
},
{
"width": 63,
"height": 24,
"dense": 3,
"dense_units": 72,
"epochs": 40,
"conv": 3,
"conv_filters": 7,
"learning_rate": 0.07023016076275286,
"activation": "leaky_relu"
},
{
"width": 48,
"height": 35,
"dense": 28,
"dense_units": 127,
"epochs": 17,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08162753572683905,
"activation": "sigmoid"
},
{
"width": 39,
"height": 37,
"dense": 8,
"dense_units": 69,
"epochs": 35,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.08935822793674077,
"activation": "sigmoid"
},
{
"width": 63,
"height": 21,
"dense": 15,
"dense_units": 11,
"epochs": 40,
"conv": 3,
"conv_filters": 9,
"learning_rate": 0.08750255707375167,
"activation": "leaky_relu"
},
{
"width": 28,
"height": 35,
"dense": 9,
"dense_units": 66,
"epochs": 8,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0789020265411449,
"activation": "sigmoid"
},
{
"width": 64,
"height": 23,
"dense": 29,
"dense_units": 66,
"epochs": 30,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.09668819462674061,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 25,
"dense": 22,
"dense_units": 21,
"epochs": 21,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.08752443026503721,
"activation": "leaky_relu"
},
{
"width": 64,
"height": 26,
"dense": 29,
"dense_units": 67,
"epochs": 28,
"conv": 3,
"conv_filters": 13,
"learning_rate": 0.09617438816381772,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 28,
"dense": 29,
"dense_units": 3,
"epochs": 33,
"conv": 3,
"conv_filters": 12,
"learning_rate": 0.09719293158336015,
"activation": "leaky_relu"
},
{
"width": 63,
"height": 20,
"dense": 1,
"dense_units": 119,
"epochs": 38,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.0934022284332835,
"activation": "leaky_relu"
},
{
"width": 47,
"height": 35,
"dense": 22,
"dense_units": 59,
"epochs": 20,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08058408111246235,
"activation": "sigmoid"
},
{
"width": 63,
"height": 28,
"dense": 2,
"dense_units": 64,
"epochs": 40,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.09312697041608621,
"activation": "leaky_relu"
},
{
"width": 24,
"height": 39,
"dense": 13,
"dense_units": 48,
"epochs": 26,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08250065697644622,
"activation": "sigmoid"
},
{
"width": 50,
"height": 37,
"dense": 3,
"dense_units": 67,
"epochs": 11,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08053644763985578,
"activation": "sigmoid"
},
{
"width": 26,
"height": 35,
"dense": 14,
"dense_units": 113,
"epochs": 3,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07514652675039714,
"activation": "sigmoid"
},
{
"width": 63,
"height": 27,
"dense": 6,
"dense_units": 57,
"epochs": 33,
"conv": 3,
"conv_filters": 14,
"learning_rate": 0.1,
"activation": "leaky_relu"
},
{
"width": 34,
"height": 39,
"dense": 31,
"dense_units": 62,
"epochs": 35,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08422818075826473,
"activation": "sigmoid"
},
{
"width": 22,
"height": 35,
"dense": 19,
"dense_units": 71,
"epochs": 7,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07665949978815693,
"activation": "sigmoid"
},
{
"width": 41,
"height": 39,
"dense": 4,
"dense_units": 44,
"epochs": 28,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08352653207916083,
"activation": "sigmoid"
},
{
"width": 26,
"height": 36,
"dense": 22,
"dense_units": 108,
"epochs": 30,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0833427142792664,
"activation": "sigmoid"
},
{
"width": 52,
"height": 38,
"dense": 1,
"dense_units": 79,
"epochs": 15,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08173556757006012,
"activation": "sigmoid"
},
{
"width": 63,
"height": 25,
"dense": 2,
"dense_units": 101,
"epochs": 31,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.09392522570377426,
"activation": "leaky_relu"
},
{
"width": 27,
"height": 36,
"dense": 27,
"dense_units": 29,
"epochs": 16,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07862805017496037,
"activation": "sigmoid"
},
{
"width": 42,
"height": 36,
"dense": 21,
"dense_units": 115,
"epochs": 13,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08254478140144245,
"activation": "sigmoid"
},
{
"width": 21,
"height": 35,
"dense": 27,
"dense_units": 5,
"epochs": 18,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07887466183859285,
"activation": "sigmoid"
},
{
"width": 37,
"height": 36,
"dense": 3,
"dense_units": 93,
"epochs": 35,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08472729686210727,
"activation": "sigmoid"
},
{
"width": 48,
"height": 40,
"dense": 3,
"dense_units": 58,
"epochs": 35,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08503135089592694,
"activation": "sigmoid"
},
{
"width": 21,
"height": 38,
"dense": 14,
"dense_units": 114,
"epochs": 5,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07450617476936329,
"activation": "sigmoid"
},
{
"width": 22,
"height": 37,
"dense": 28,
"dense_units": 64,
"epochs": 21,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08114999182943376,
"activation": "sigmoid"
},
{
"width": 23,
"height": 35,
"dense": 16,
"dense_units": 128,
"epochs": 18,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07814916430397889,
"activation": "sigmoid"
},
{
"width": 49,
"height": 33,
"dense": 30,
"dense_units": 52,
"epochs": 4,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.08844611890697786,
"activation": "sigmoid"
},
{
"width": 20,
"height": 36,
"dense": 30,
"dense_units": 87,
"epochs": 16,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0796759150092528,
"activation": "sigmoid"
},
{
"width": 27,
"height": 40,
"dense": 3,
"dense_units": 88,
"epochs": 18,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08404342000155654,
"activation": "sigmoid"
},
{
"width": 35,
"height": 38,
"dense": 25,
"dense_units": 25,
"epochs": 15,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08387542574970598,
"activation": "sigmoid"
},
{
"width": 33,
"height": 26,
"dense": 24,
"dense_units": 31,
"epochs": 3,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07904354603943756,
"activation": "sigmoid"
},
{
"width": 23,
"height": 36,
"dense": 9,
"dense_units": 81,
"epochs": 32,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08549905711841421,
"activation": "sigmoid"
},
{
"width": 50,
"height": 32,
"dense": 28,
"dense_units": 84,
"epochs": 5,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08490630746351414,
"activation": "sigmoid"
},
{
"width": 30,
"height": 31,
"dense": 7,
"dense_units": 118,
"epochs": 10,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07980889996142702,
"activation": "sigmoid"
},
{
"width": 32,
"height": 36,
"dense": 23,
"dense_units": 26,
"epochs": 12,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08174735804702983,
"activation": "sigmoid"
},
{
"width": 22,
"height": 35,
"dense": 30,
"dense_units": 86,
"epochs": 19,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07824367963052078,
"activation": "sigmoid"
},
{
"width": 40,
"height": 36,
"dense": 12,
"dense_units": 76,
"epochs": 16,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08215649390463992,
"activation": "sigmoid"
},
{
"width": 23,
"height": 38,
"dense": 21,
"dense_units": 93,
"epochs": 26,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08275181065427761,
"activation": "sigmoid"
},
{
"width": 21,
"height": 38,
"dense": 15,
"dense_units": 128,
"epochs": 29,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08311653235440704,
"activation": "sigmoid"
},
{
"width": 21,
"height": 38,
"dense": 32,
"dense_units": 2,
"epochs": 4,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08087029905255248,
"activation": "sigmoid"
},
{
"width": 26,
"height": 38,
"dense": 8,
"dense_units": 103,
"epochs": 13,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08054353272480726,
"activation": "sigmoid"
},
{
"width": 32,
"height": 36,
"dense": 21,
"dense_units": 69,
"epochs": 13,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07980203043668913,
"activation": "sigmoid"
},
{
"width": 24,
"height": 35,
"dense": 13,
"dense_units": 121,
"epochs": 5,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0769118728332981,
"activation": "sigmoid"
},
{
"width": 28,
"height": 38,
"dense": 14,
"dense_units": 96,
"epochs": 25,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08302395702892082,
"activation": "sigmoid"
},
{
"width": 59,
"height": 37,
"dense": 31,
"dense_units": 19,
"epochs": 10,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08257537776278749,
"activation": "sigmoid"
},
{
"width": 21,
"height": 38,
"dense": 2,
"dense_units": 92,
"epochs": 32,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08356693779909508,
"activation": "sigmoid"
},
{
"width": 39,
"height": 35,
"dense": 5,
"dense_units": 83,
"epochs": 12,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08042192985218959,
"activation": "sigmoid"
},
{
"width": 23,
"height": 35,
"dense": 26,
"dense_units": 79,
"epochs": 13,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08042373245496547,
"activation": "sigmoid"
},
{
"width": 35,
"height": 37,
"dense": 23,
"dense_units": 101,
"epochs": 7,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08069965645362263,
"activation": "sigmoid"
},
{
"width": 29,
"height": 35,
"dense": 14,
"dense_units": 123,
"epochs": 6,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07588350560883134,
"activation": "sigmoid"
},
{
"width": 65,
"height": 36,
"dense": 7,
"dense_units": 113,
"epochs": 29,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08648028045807599,
"activation": "sigmoid"
},
{
"width": 47,
"height": 36,
"dense": 24,
"dense_units": 26,
"epochs": 21,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08417846906649779,
"activation": "sigmoid"
},
{
"width": 30,
"height": 34,
"dense": 10,
"dense_units": 78,
"epochs": 23,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08324423210049113,
"activation": "sigmoid"
},
{
"width": 39,
"height": 33,
"dense": 29,
"dense_units": 13,
"epochs": 2,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07888881686728515,
"activation": "sigmoid"
},
{
"width": 37,
"height": 36,
"dense": 13,
"dense_units": 38,
"epochs": 30,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08321974343356306,
"activation": "sigmoid"
},
{
"width": 30,
"height": 36,
"dense": 11,
"dense_units": 25,
"epochs": 12,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07770048407077171,
"activation": "sigmoid"
},
{
"width": 22,
"height": 35,
"dense": 17,
"dense_units": 89,
"epochs": 15,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08038670489249779,
"activation": "sigmoid"
},
{
"width": 23,
"height": 35,
"dense": 6,
"dense_units": 19,
"epochs": 30,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08431612944874636,
"activation": "sigmoid"
},
{
"width": 25,
"height": 35,
"dense": 29,
"dense_units": 25,
"epochs": 18,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08142959064028506,
"activation": "sigmoid"
},
{
"width": 32,
"height": 36,
"dense": 12,
"dense_units": 115,
"epochs": 18,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08183840974510229,
"activation": "sigmoid"
},
{
"width": 26,
"height": 35,
"dense": 26,
"dense_units": 125,
"epochs": 4,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07823874629937733,
"activation": "sigmoid"
},
{
"width": 38,
"height": 40,
"dense": 18,
"dense_units": 90,
"epochs": 11,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0827867245412217,
"activation": "sigmoid"
},
{
"width": 35,
"height": 31,
"dense": 11,
"dense_units": 117,
"epochs": 22,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08316772968871225,
"activation": "sigmoid"
},
{
"width": 39,
"height": 36,
"dense": 19,
"dense_units": 73,
"epochs": 13,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08154807915786196,
"activation": "sigmoid"
},
{
"width": 27,
"height": 36,
"dense": 13,
"dense_units": 66,
"epochs": 15,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08110494422375554,
"activation": "sigmoid"
},
{
"width": 48,
"height": 38,
"dense": 25,
"dense_units": 5,
"epochs": 31,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08579676435097666,
"activation": "sigmoid"
},
{
"width": 31,
"height": 39,
"dense": 6,
"dense_units": 89,
"epochs": 29,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08073465431096366,
"activation": "sigmoid"
},
{
"width": 28,
"height": 39,
"dense": 6,
"dense_units": 2,
"epochs": 18,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08212105054603062,
"activation": "sigmoid"
},
{
"width": 25,
"height": 35,
"dense": 9,
"dense_units": 13,
"epochs": 15,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07658267169644926,
"activation": "sigmoid"
},
{
"width": 23,
"height": 36,
"dense": 30,
"dense_units": 86,
"epochs": 12,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07987812146047833,
"activation": "sigmoid"
},
{
"width": 23,
"height": 35,
"dense": 30,
"dense_units": 119,
"epochs": 25,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08304743469437352,
"activation": "sigmoid"
},
{
"width": 33,
"height": 35,
"dense": 14,
"dense_units": 27,
"epochs": 10,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08133573381616734,
"activation": "sigmoid"
},
{
"width": 56,
"height": 38,
"dense": 15,
"dense_units": 10,
"epochs": 5,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08249912587158507,
"activation": "sigmoid"
},
{
"width": 23,
"height": 40,
"dense": 30,
"dense_units": 121,
"epochs": 6,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08080898248862411,
"activation": "sigmoid"
},
{
"width": 32,
"height": 37,
"dense": 14,
"dense_units": 89,
"epochs": 7,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07746535535841212,
"activation": "sigmoid"
},
{
"width": 41,
"height": 38,
"dense": 10,
"dense_units": 24,
"epochs": 34,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08448438670957942,
"activation": "sigmoid"
},
{
"width": 29,
"height": 42,
"dense": 27,
"dense_units": 116,
"epochs": 6,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08258739069900413,
"activation": "sigmoid"
},
{
"width": 28,
"height": 34,
"dense": 2,
"dense_units": 60,
"epochs": 22,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08295772555047495,
"activation": "sigmoid"
},
{
"width": 36,
"height": 40,
"dense": 3,
"dense_units": 40,
"epochs": 8,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08201839747051883,
"activation": "sigmoid"
}
],
"means": {
"VAL_ACCURACY": [
0.29445268804054153,
0.23483991450067643,
0.25375348385907803,
0.4216415648110179,
0.41807484759821595,
0.26845307325994394,
0.29213524426043047,
0.2932580520253512,
0.36069955800549924,
0.3238673147672834,
0.45108902530085526,
0.30653097731687956,
0.33618723022621666,
0.2900738256525753,
0.2867139512983831,
0.32213796503999603,
0.30644755097878856,
0.2957861918885664,
0.28357547393942373,
0.2958344916338136,
0.29397972513964643,
0.3978271368322554,
0.2917836658638757,
0.43297385305230845,
0.29297469131709963,
0.301069946108805,
0.30798079958465946,
0.4723782435479373,
0.30380053262627166,
0.29597450627234434,
0.2787359415224435,
0.29919630621613635,
0.2915458575487239,
0.4628416157717544,
0.2973902999838512,
0.2838799084336059,
0.2997170759992732,
0.2701422667483985,
0.2646637552905565,
0.30309807094208674,
0.29501087692976835,
0.28918110490115856,
0.30120627586998244,
0.29388452648728675,
0.29055559924093916,
0.29674643282345314,
0.3032900989243872,
0.28667708432713584,
0.2975038537727691,
0.3024548439498639,
0.29653342047589654,
0.29387595321983245,
0.2856091400117743,
0.2966407792762238,
0.3005968927484233,
0.30430501508891367,
0.29357337281754203,
0.28839508969179745,
0.30420919059860685,
0.29720618146989375,
0.30163612997804756,
0.275548039854586,
0.2975698707772341,
0.2910833803179227,
0.291206257509943,
0.29928077562716476,
0.29477141374255944,
0.296554078290921,
0.2916141529989865,
0.3042069955231989,
0.2927449253051482,
0.29242010657206197,
0.28574716401368455,
0.28105668020661356,
0.2989699992849157,
0.29016013558728226,
0.29624837089453104,
0.2863881312946909,
0.2960359943062923,
0.28686509562140494,
0.28637723513915614,
0.3034460412053647,
0.2866243676634509,
0.27993856684045143,
0.28442017792534985,
0.29454850045516295,
0.293322362146336,
0.29727721306808663,
0.3064167184275972,
0.29670693669089904,
0.299086141779543,
0.28485996048440815,
0.2941494850260631,
0.2820704872275967,
0.31146927625974496
],
"VAL_LOSS": [
-314937498994.7523,
-37128960373.91618,
1369989399.8034286,
-294910733385.41504,
-292794080775.71075,
3516867916.6618195,
-52856942.286590576,
-298581517997.87463,
-296780763323.64636,
-100252783747.61545,
-239960111450.09613,
2475824617.801689,
-265535382748.48206,
-140265951.04678345,
1573970606.837265,
-255328832218.66797,
-203577521.26893616,
-185797662633.96173,
-140225721735.128,
-175026560190.18207,
-206901148387.40283,
-250403863777.58685,
-224750436.32356262,
-262527646031.29004,
-1812556993.8030243,
336714011.34646606,
-120724844.06616211,
-219023094747.841,
2064337780.1911926,
-1088184025.0079193,
325632026.91452026,
-1037413660.7476196,
133822352.00848389,
-211090386839.03802,
-1031097490.3368835,
-83456835.16764832,
-1058529424.0750122,
1747966514.5188828,
1081212281.0128174,
-399582763.80026245,
-1814400463.6186066,
-2429278517.7608185,
2066840649.2121582,
-486318764.20536804,
-1343223430.837906,
684658449.8044128,
2201886076.542198,
-1237388500.5237732,
1795553733.9547424,
73292711.00115967,
657022997.7902908,
-1930344484.0659943,
-107791784.10270691,
-1939914804.340744,
-1060995468.2426453,
782363467.9199219,
-1551629492.7906036,
315030535.3569336,
-1017647149.9380493,
-905737679.3916016,
2715704676.100609,
-586065136.9267578,
272343080.8527374,
-1889592724.0371094,
1226721459.628708,
326396040.9055786,
1348676914.5469131,
57791087.59689331,
-358325774.5935211,
2459920207.7096252,
1028970988.867363,
117305768.51397705,
-2036237667.4597778,
-1260150135.4578094,
-1610782075.0293427,
-51855897.850875854,
-161669398.32565308,
460810632.8085785,
233000427.4634552,
240013908.86524963,
-1279351853.1413727,
1102088268.7593307,
390560105.28982544,
-616144822.0414734,
-1693559104.5073242,
-1709642421.6674957,
-1916529362.9385834,
932803591.1929092,
2884529063.3303986,
-833736746.290268,
947653680.7758484,
1370447747.807579,
605365621.8520279,
-935401705.3562927,
1219488414.5563507
],
"RAM_USAGE": [
912.1969956142298,
722.7620009970271,
742.99793656827,
863.149959357665,
838.9589180510093,
782.7154900235784,
794.6662857335789,
773.894725036313,
818.1799418406607,
781.9934189144739,
771.438184946904,
819.9936813546254,
734.2856275349368,
915.100282281506,
758.4276554595666,
771.3058783744727,
725.5299906499511,
889.2737616889387,
813.319007481574,
897.4600080016954,
833.8970471182926,
773.6207186817444,
819.8556095158034,
754.7337921777,
740.3403369762641,
742.4916652589288,
772.3524374619551,
781.2824096207156,
840.4244170004848,
756.9140289421819,
732.771020699643,
814.0261792461908,
746.7224776637831,
774.2027245098876,
789.4875721547794,
853.6041036393738,
781.0986342371125,
741.240609995142,
747.1255999066277,
767.4436952226666,
796.652035030138,
793.6858948485424,
851.8120015600686,
811.2249233089412,
721.8169168904167,
796.5185623232325,
777.5683474998623,
733.1004988536216,
867.5633325221534,
748.6687112136292,
781.7612636354031,
815.3117946038968,
770.2148178640905,
791.2904015925303,
793.7956507126477,
793.9012254902339,
745.5909259980954,
789.1012469917791,
771.5783758990923,
774.310815760504,
850.3941968008666,
713.7283113180722,
737.6156175656349,
794.8356604348893,
830.8149728044187,
790.0850052636018,
828.9959656061338,
811.7585060416084,
741.8612228911281,
807.4087429714461,
757.5534111364633,
734.4658429706758,
761.184499223021,
717.5686162311224,
792.624799274934,
785.2860812674884,
838.9092992771394,
810.9433310544271,
780.0554537378023,
798.3531827938589,
743.4046659272694,
813.7098232005819,
743.8159581425051,
726.8480302697889,
725.2912621351927,
816.9274444866384,
847.2166126794872,
747.9577854674127,
784.0747129659554,
851.2274070162578,
770.3709244939088,
753.6527802588765,
854.7727420522717,
702.071301005366,
716.8946459136829
],
"RUNTIME": [
224.33895173280925,
123.67425020312606,
38.65359397815266,
190.90461905094384,
186.0727914539974,
47.23162642970618,
11.314565771409178,
188.35090130016872,
219.70656120827894,
95.01620359513427,
126.79766441744589,
27.570245257512425,
163.60226839904846,
21.471316582897543,
25.992880577382977,
136.70695139565214,
8.947818990314403,
99.54558798356541,
96.6759516437437,
99.62973392469425,
112.5395899902476,
121.0220088214615,
20.374625546996356,
127.66794242073746,
13.62930266369986,
21.118118198373708,
10.315699880080018,
108.21829076245854,
23.21861251997632,
8.360210545947552,
20.795690187329768,
16.271373512064656,
23.955721189632357,
108.30347913120322,
9.689547963409296,
16.132802027911822,
9.694620217591108,
23.1863014722542,
31.388938742984664,
11.784185316379705,
10.507684277476955,
10.227248189013466,
25.331099669401596,
9.225748412019811,
14.372593749118863,
13.511527411879058,
30.306072102020863,
16.475443063454975,
24.41240886554013,
14.890166156142271,
10.55879729619457,
10.470709854197736,
14.29081469146115,
13.273136671305224,
15.237178610160385,
12.411879478191679,
10.490338742081434,
10.573162293141536,
9.518446087373007,
13.541426805985253,
30.131961668533194,
16.173845467204615,
13.321776748141644,
8.83720764059504,
13.57686185656172,
10.538904414686954,
40.481221171099634,
20.369448553282922,
13.76920816672947,
16.43145292414988,
18.835464180348538,
9.381847785155088,
8.633163381090924,
15.530122530950365,
10.19594533086942,
11.698809553074085,
10.871205484939935,
19.466463980894815,
21.642533622485615,
13.648896575409623,
8.913998696946692,
26.771645984293286,
17.3646284403124,
12.030726009235394,
8.67016045633244,
9.109757419056848,
13.940987680918596,
10.541546720734743,
28.933368891101622,
17.30053578488031,
11.7451737388256,
23.738425237488627,
25.352445077658558,
12.491690283092623,
18.20243235781777
]
},
"sems": {
"VAL_ACCURACY": [
0.1277413051853031,
0.11030100037497104,
0.12429094031631001,
0.11993751724874409,
0.12114749037759082,
0.12780576323410134,
0.12493745672021833,
0.12871638328495713,
0.11908301216157641,
0.10931052924235171,
0.1192360427686424,
0.13112893406155032,
0.12258000825288692,
0.12109783604920725,
0.11664781376185386,
0.11120225617000856,
0.1094832542571784,
0.12304950711019157,
0.103417215262313,
0.12520669609283433,
0.12365812506981923,
0.12806879471079752,
0.1263451429533423,
0.1212598399465965,
0.12197365710399304,
0.11761831530815342,
0.10846480797027543,
0.11776283697946476,
0.13121582683407185,
0.10966045717301312,
0.11986894468889632,
0.12964950524628815,
0.12466194621018148,
0.12421651175522136,
0.12995966759554445,
0.07979756580790749,
0.13146028559569378,
0.12513488020479363,
0.1204808145511677,
0.09893974462072717,
0.13005520094664377,
0.10725280591031958,
0.13001252962460405,
0.126171506435338,
0.1243813239765139,
0.12922569134336517,
0.13011140885784533,
0.12148369189715727,
0.12454203368510264,
0.10470978028012168,
0.12725347067135465,
0.12875995123144376,
0.11097813176052403,
0.12844354532862343,
0.12807902757978187,
0.13181740625289073,
0.10626687802734532,
0.10812895687882375,
0.09961981329885496,
0.12313295597098375,
0.1310895366682087,
0.12460111894688235,
0.11548270315385424,
0.11637471699794705,
0.10254448364942392,
0.0923139791434956,
0.12452430544970057,
0.13065051251858031,
0.12050529458663183,
0.13166327985027373,
0.11866477255319521,
0.11905269367451982,
0.09849634376884389,
0.1180925876930812,
0.1311524331152349,
0.11006039882071308,
0.12043358139379415,
0.08163309524575532,
0.12161787726621842,
0.10140391402590952,
0.11236505816294406,
0.13010582111611196,
0.11998566466114809,
0.12543477673134382,
0.12173192789581287,
0.12342639517062141,
0.1307647789881659,
0.12109557924100853,
0.12661390550014315,
0.12409077026566231,
0.0956672138613446,
0.11307022310658058,
0.11700694186177955,
0.12378432424722462,
0.11360982152980055
],
"VAL_LOSS": [
133131328202.44763,
24847925245.99442,
20821920558.03184,
140460381720.00912,
140982975610.5175,
24947549042.922447,
14923323740.307955,
139642636268.53418,
138466257778.60944,
53897479226.44876,
60654345107.49778,
19173131226.231773,
63062064689.453896,
18517928769.314938,
14254520146.90299,
61891339671.71273,
14973984574.473997,
55004525067.039215,
51154467006.14132,
53830345581.179955,
57112339175.31205,
65211804597.98294,
16372659204.304815,
63175954743.057915,
13310451681.030848,
20069778996.35893,
17958100709.30871,
58696131295.67228,
18184701663.39668,
15267572627.065075,
14443740152.921322,
16637427361.593132,
19976340038.812992,
59899247873.47537,
17625605769.958282,
14103408136.782917,
18976564617.338696,
14030415050.473759,
16758446038.359953,
15304552224.990862,
17080332076.260178,
16496077447.42598,
22260429835.044937,
20106393512.088326,
13161412227.388498,
14465640480.912992,
17866688332.677475,
14895360124.365992,
22022236232.88543,
15507361676.977688,
15633676364.813854,
17909746274.531223,
12124773624.228024,
15900068934.413357,
19949964210.512012,
21703553286.12651,
14654148842.100044,
13984695756.737537,
16972962714.324118,
13690594984.375713,
26311001142.075542,
19276223839.986515,
13125333654.766512,
17023402031.27105,
13787801862.580551,
17281323804.25403,
20655122674.6142,
17966257010.590847,
12668314896.382004,
16795026403.893543,
13984257672.31368,
14151832898.396187,
15028769006.936552,
15116127261.669563,
18160680921.722794,
13028006902.57844,
21065704681.832214,
11340997823.077936,
12417206896.676783,
11647047389.149843,
14173582525.679064,
20426130776.808746,
12113281945.410797,
14770413665.359316,
15042639325.830145,
18360288702.308887,
19779863665.273174,
13788441363.729887,
25722999395.86243,
20019811128.59731,
13815915426.641392,
16321776607.381058,
19200118088.946613,
12761797471.102942,
13137214182.451935
],
"RAM_USAGE": [
21.071431510152188,
19.048676424359922,
15.341093461549203,
21.892497460869723,
20.113415232048496,
14.262116576944523,
12.597994653478299,
23.017708144162857,
15.472446856101508,
13.272946105258523,
13.885090773222226,
16.93862914226792,
14.551831495151639,
16.010132595676044,
10.391299017907656,
18.8927757389568,
10.608056656268161,
19.03393273739453,
16.650684281151232,
17.867556530419154,
23.174596077531202,
21.004045501265445,
11.648550645377854,
13.999202865878098,
11.210586570568218,
10.156837560838136,
13.560019041186852,
12.478469348642697,
16.585325961572803,
13.736996005488633,
10.578943384074302,
14.831924006309507,
10.86777000147691,
15.83210427449281,
15.976813912668183,
12.169336061686524,
21.323617367157173,
12.003763742313936,
11.071881078664846,
14.893256212485062,
16.457192533210605,
16.935266976030245,
16.8433661482482,
18.82074349074328,
11.120538757412737,
14.185761630269418,
16.529539721712162,
11.964525309384452,
15.076059019818334,
13.272956019750632,
13.83332733413466,
18.196998935104084,
9.42274276170164,
13.881611580095365,
18.053011787880347,
26.276885853080433,
11.445480939923467,
11.672608420083513,
15.084037427790188,
11.302606944815725,
20.200845082447252,
13.75748740545516,
9.620728035398784,
15.689052146921048,
12.574172401424656,
14.290867820557738,
13.980873787379178,
14.082859366190537,
10.188994731536257,
19.915056384668894,
10.59957121580573,
11.737796502062642,
13.001309941517105,
14.145391168397783,
18.196100735913628,
12.051340855229785,
18.70237525594896,
10.215598986965244,
12.661648579641527,
10.609554693066151,
10.732338193918306,
18.02557036970989,
10.629043565206304,
15.877761212119577,
14.225039730240406,
17.888314710538392,
20.348517321060513,
11.707194704871087,
14.074871741730677,
20.318804349852872,
10.474738696892436,
11.492844196340942,
16.07110033409222,
11.339232252486013,
11.568173852985543
],
"RUNTIME": [
93.59805030759146,
56.11764444448562,
79.55077079401704,
85.67186401982528,
95.39742566098165,
85.83749452015084,
70.57559214739473,
87.87148205675578,
93.12481374428027,
77.62027937962249,
75.32856364487556,
72.67943995393404,
77.72526807721832,
77.4973011834431,
71.36904099103674,
85.85363636131936,
72.87449218049026,
77.75236767495807,
73.78822211834502,
69.77241945866831,
68.31069628616558,
86.56803542559359,
75.5114697895788,
70.39388716049915,
70.21504978356478,
79.45842978071931,
73.80385357725194,
67.54399827618904,
73.08537473138841,
72.14475272385208,
73.45690287794355,
72.32991885369319,
79.674846103455,
73.9123563000529,
71.03470995226613,
76.81091631703163,
70.48019377502489,
75.17065009954608,
76.45707213596694,
75.0317461182085,
71.05585871232807,
69.85956872663735,
81.01839344911143,
71.51452561739514,
73.19733091397458,
75.39116693478995,
65.47801737152321,
73.11386265054175,
80.36688270216295,
69.28055063530424,
74.27184759559812,
69.86733232460021,
74.65172783373471,
71.04948296175466,
71.60364665276416,
78.75004512905149,
73.27588446619576,
72.81851993202274,
73.47706737346316,
71.37319781776657,
85.14316515863732,
71.46456688882508,
74.25195662879763,
71.96010773667585,
77.19695338421819,
73.01977124716556,
86.0157529508954,
77.29743877387665,
71.69985329888691,
76.67907228112499,
73.37041938447781,
71.80293575968443,
71.10107223530305,
72.59309614938458,
71.66471808285992,
72.53079334084421,
75.14642499089501,
77.67973783822036,
71.78641720888118,
75.1226428127368,
71.93040732659544,
77.83091912761795,
70.00430493797866,
72.32396498336978,
69.42072846873141,
72.83577002498693,
72.29959437405475,
74.17514903964162,
86.03606374015983,
78.71161824991229,
74.95238948104081,
74.72905177912848,
80.31725756042636,
71.28739407853445,
78.31469157055038
]
},
"absolute_metrics": [
"VAL_ACCURACY",
"VAL_LOSS",
"RAM_USAGE",
"RUNTIME"
]
}
},
"RAM_USAGE": {
"RUNTIME": {
"param_dicts": [
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 45,
"epochs": 1,
"conv": 1,
"conv_filters": 14,
"learning_rate": 0.012481187217596085,
"activation": "sigmoid"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 56,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0.002634457799387567,
"activation": "tanh"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 54,
"epochs": 1,
"conv": 1,
"conv_filters": 12,
"learning_rate": 0,
"activation": "tanh"
},
{
"width": 20,
"height": 52,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 53,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 54,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 55,
"dense": 1,
"dense_units": 54,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 54,
"dense": 1,
"dense_units": 54,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 56,
"dense": 1,
"dense_units": 47,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 57,
"dense": 1,
"dense_units": 43,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 53,
"dense": 1,
"dense_units": 56,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 54,
"dense": 1,
"dense_units": 52,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 56,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 57,
"dense": 1,
"dense_units": 43,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 57,
"dense": 1,
"dense_units": 41,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 56,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 55,
"dense": 1,
"dense_units": 54,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 56,
"dense": 1,
"dense_units": 49,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 54,
"dense": 1,
"dense_units": 47,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "gelu"
},
{
"width": 20,
"height": 54,
"dense": 1,
"dense_units": 61,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 57,
"dense": 1,
"dense_units": 43,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 55,
"dense": 1,
"dense_units": 50,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 58,
"dense": 1,
"dense_units": 53,
"epochs": 2,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 55,
"dense": 1,
"dense_units": 48,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 61,
"dense": 1,
"dense_units": 48,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0.00847702605137923,
"activation": "relu"
},
{
"width": 20,
"height": 55,
"dense": 1,
"dense_units": 65,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 59,
"dense": 1,
"dense_units": 34,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "gelu"
},
{
"width": 20,
"height": 56,
"dense": 1,
"dense_units": 46,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 55,
"dense": 1,
"dense_units": 69,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 33,
"dense": 1,
"dense_units": 51,
"epochs": 7,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07498270200411256,
"activation": "sigmoid"
},
{
"width": 20,
"height": 56,
"dense": 1,
"dense_units": 51,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 59,
"dense": 1,
"dense_units": 49,
"epochs": 11,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0.006303943569929678,
"activation": "relu"
},
{
"width": 20,
"height": 33,
"dense": 1,
"dense_units": 27,
"epochs": 9,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07370022555119604,
"activation": "sigmoid"
},
{
"width": 20,
"height": 55,
"dense": 1,
"dense_units": 67,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 35,
"dense": 1,
"dense_units": 32,
"epochs": 1,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0740702644081931,
"activation": "sigmoid"
},
{
"width": 20,
"height": 33,
"dense": 1,
"dense_units": 24,
"epochs": 3,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0771377036283949,
"activation": "sigmoid"
},
{
"width": 20,
"height": 34,
"dense": 1,
"dense_units": 33,
"epochs": 20,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0817310313354216,
"activation": "sigmoid"
},
{
"width": 20,
"height": 55,
"dense": 1,
"dense_units": 77,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 20,
"dense": 1,
"dense_units": 68,
"epochs": 1,
"conv": 3,
"conv_filters": 8,
"learning_rate": 0.06738311400623244,
"activation": "sigmoid"
},
{
"width": 20,
"height": 57,
"dense": 1,
"dense_units": 12,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0.0005770063227851669,
"activation": "gelu"
},
{
"width": 20,
"height": 56,
"dense": 1,
"dense_units": 63,
"epochs": 7,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "relu"
},
{
"width": 20,
"height": 30,
"dense": 1,
"dense_units": 75,
"epochs": 8,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07600496918601318,
"activation": "sigmoid"
},
{
"width": 20,
"height": 33,
"dense": 1,
"dense_units": 65,
"epochs": 11,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07652618722521244,
"activation": "sigmoid"
},
{
"width": 20,
"height": 56,
"dense": 1,
"dense_units": 43,
"epochs": 1,
"conv": 1,
"conv_filters": 1,
"learning_rate": 0,
"activation": "gelu"
},
{
"width": 22,
"height": 35,
"dense": 4,
"dense_units": 56,
"epochs": 2,
"conv": 3,
"conv_filters": 9,
"learning_rate": 0.07807740960957453,
"activation": "sigmoid"
},
{
"width": 23,
"height": 35,
"dense": 1,
"dense_units": 21,
"epochs": 23,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08001347612714979,
"activation": "sigmoid"
},
{
"width": 21,
"height": 29,
"dense": 1,
"dense_units": 60,
"epochs": 1,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0749195639600869,
"activation": "sigmoid"
},
{
"width": 20,
"height": 34,
"dense": 1,
"dense_units": 38,
"epochs": 3,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07517622797786827,
"activation": "sigmoid"
},
{
"width": 20,
"height": 34,
"dense": 1,
"dense_units": 72,
"epochs": 14,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07754735574084493,
"activation": "sigmoid"
},
{
"width": 28,
"height": 34,
"dense": 1,
"dense_units": 75,
"epochs": 26,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08524080412240222,
"activation": "sigmoid"
},
{
"width": 20,
"height": 39,
"dense": 1,
"dense_units": 22,
"epochs": 20,
"conv": 3,
"conv_filters": 9,
"learning_rate": 0.07337241301196862,
"activation": "sigmoid"
},
{
"width": 22,
"height": 34,
"dense": 1,
"dense_units": 56,
"epochs": 18,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07852840696571872,
"activation": "sigmoid"
},
{
"width": 23,
"height": 36,
"dense": 1,
"dense_units": 37,
"epochs": 5,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07612255235046826,
"activation": "sigmoid"
},
{
"width": 31,
"height": 35,
"dense": 1,
"dense_units": 85,
"epochs": 30,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08339695081635896,
"activation": "sigmoid"
},
{
"width": 20,
"height": 37,
"dense": 1,
"dense_units": 53,
"epochs": 27,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0798133125029472,
"activation": "sigmoid"
},
{
"width": 31,
"height": 32,
"dense": 1,
"dense_units": 74,
"epochs": 8,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07700415843811079,
"activation": "sigmoid"
},
{
"width": 20,
"height": 33,
"dense": 1,
"dense_units": 79,
"epochs": 24,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0803407475522438,
"activation": "sigmoid"
},
{
"width": 20,
"height": 32,
"dense": 1,
"dense_units": 90,
"epochs": 9,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07611343579839111,
"activation": "sigmoid"
},
{
"width": 20,
"height": 35,
"dense": 1,
"dense_units": 64,
"epochs": 17,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07879006008594629,
"activation": "sigmoid"
},
{
"width": 23,
"height": 22,
"dense": 1,
"dense_units": 47,
"epochs": 5,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.07388415938804951,
"activation": "tanh"
},
{
"width": 20,
"height": 32,
"dense": 1,
"dense_units": 20,
"epochs": 5,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07466978974174289,
"activation": "sigmoid"
},
{
"width": 22,
"height": 38,
"dense": 1,
"dense_units": 83,
"epochs": 18,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07541456458893166,
"activation": "sigmoid"
},
{
"width": 37,
"height": 31,
"dense": 2,
"dense_units": 50,
"epochs": 4,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08349667369195835,
"activation": "sigmoid"
},
{
"width": 28,
"height": 34,
"dense": 1,
"dense_units": 54,
"epochs": 4,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07624416534512848,
"activation": "sigmoid"
},
{
"width": 20,
"height": 38,
"dense": 1,
"dense_units": 89,
"epochs": 13,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07999559374109082,
"activation": "sigmoid"
},
{
"width": 20,
"height": 34,
"dense": 1,
"dense_units": 103,
"epochs": 11,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07756601964686562,
"activation": "sigmoid"
},
{
"width": 20,
"height": 34,
"dense": 1,
"dense_units": 87,
"epochs": 15,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0810734308654496,
"activation": "sigmoid"
},
{
"width": 20,
"height": 30,
"dense": 8,
"dense_units": 62,
"epochs": 3,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07425420785188262,
"activation": "sigmoid"
},
{
"width": 35,
"height": 37,
"dense": 9,
"dense_units": 57,
"epochs": 24,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08472198786783858,
"activation": "sigmoid"
},
{
"width": 66,
"height": 30,
"dense": 1,
"dense_units": 72,
"epochs": 12,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0844333602360369,
"activation": "sigmoid"
},
{
"width": 21,
"height": 35,
"dense": 1,
"dense_units": 102,
"epochs": 26,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08268440750528361,
"activation": "sigmoid"
},
{
"width": 22,
"height": 30,
"dense": 3,
"dense_units": 54,
"epochs": 1,
"conv": 3,
"conv_filters": 11,
"learning_rate": 0.0753204534441832,
"activation": "sigmoid"
},
{
"width": 26,
"height": 35,
"dense": 7,
"dense_units": 111,
"epochs": 22,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08344503292827804,
"activation": "sigmoid"
},
{
"width": 35,
"height": 30,
"dense": 1,
"dense_units": 67,
"epochs": 10,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0780689878748272,
"activation": "sigmoid"
},
{
"width": 20,
"height": 27,
"dense": 1,
"dense_units": 72,
"epochs": 3,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0756634108927981,
"activation": "sigmoid"
},
{
"width": 24,
"height": 39,
"dense": 3,
"dense_units": 45,
"epochs": 38,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.0868612551880561,
"activation": "sigmoid"
},
{
"width": 20,
"height": 34,
"dense": 12,
"dense_units": 87,
"epochs": 3,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07556581983649169,
"activation": "sigmoid"
},
{
"width": 20,
"height": 35,
"dense": 5,
"dense_units": 96,
"epochs": 14,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07980094384336343,
"activation": "sigmoid"
},
{
"width": 28,
"height": 37,
"dense": 1,
"dense_units": 48,
"epochs": 36,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08525789622740944,
"activation": "sigmoid"
},
{
"width": 35,
"height": 32,
"dense": 3,
"dense_units": 59,
"epochs": 15,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08283125529540525,
"activation": "sigmoid"
},
{
"width": 24,
"height": 35,
"dense": 6,
"dense_units": 127,
"epochs": 15,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08289450814170823,
"activation": "sigmoid"
},
{
"width": 23,
"height": 34,
"dense": 7,
"dense_units": 21,
"epochs": 11,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07953622975129099,
"activation": "sigmoid"
},
{
"width": 27,
"height": 36,
"dense": 10,
"dense_units": 3,
"epochs": 19,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08163653506597751,
"activation": "sigmoid"
},
{
"width": 20,
"height": 32,
"dense": 10,
"dense_units": 86,
"epochs": 17,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08150609266125805,
"activation": "sigmoid"
},
{
"width": 23,
"height": 39,
"dense": 14,
"dense_units": 36,
"epochs": 12,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07738265746954331,
"activation": "sigmoid"
},
{
"width": 39,
"height": 32,
"dense": 12,
"dense_units": 24,
"epochs": 22,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08467832081732367,
"activation": "sigmoid"
},
{
"width": 28,
"height": 33,
"dense": 20,
"dense_units": 17,
"epochs": 14,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07977233746101449,
"activation": "sigmoid"
},
{
"width": 20,
"height": 34,
"dense": 15,
"dense_units": 68,
"epochs": 23,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08232382571476186,
"activation": "sigmoid"
},
{
"width": 32,
"height": 34,
"dense": 14,
"dense_units": 66,
"epochs": 9,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07967506458511119,
"activation": "sigmoid"
},
{
"width": 24,
"height": 35,
"dense": 21,
"dense_units": 29,
"epochs": 5,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07476782307137816,
"activation": "sigmoid"
},
{
"width": 29,
"height": 36,
"dense": 3,
"dense_units": 96,
"epochs": 20,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08203632286832958,
"activation": "sigmoid"
},
{
"width": 39,
"height": 34,
"dense": 12,
"dense_units": 87,
"epochs": 12,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08123578402578584,
"activation": "sigmoid"
},
{
"width": 29,
"height": 33,
"dense": 9,
"dense_units": 71,
"epochs": 19,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.07699695747124288,
"activation": "sigmoid"
},
{
"width": 33,
"height": 33,
"dense": 6,
"dense_units": 17,
"epochs": 17,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08228562552024984,
"activation": "sigmoid"
},
{
"width": 26,
"height": 38,
"dense": 21,
"dense_units": 54,
"epochs": 33,
"conv": 3,
"conv_filters": 10,
"learning_rate": 0.08463877158524967,
"activation": "sigmoid"
}
],
"means": {
"VAL_ACCURACY": [
0.30308585811141414,
0.18196869521330875,
0.1800183010039438,
0.27625540978070134,
0.27607935534086986,
0.277705507412924,
0.2721047871044915,
0.2722815883111668,
0.28448403637109565,
0.29123268574614875,
0.2688187019545473,
0.27590533805354184,
0.27736853760276675,
0.29123268574614875,
0.2945823877769401,
0.27736853760276675,
0.2721047871044915,
0.2809493981626381,
0.2765899497375166,
0.2594778655654143,
0.29123268574614875,
0.2793293442657637,
0.2564041223397665,
0.28288346604460607,
0.28382735963830696,
0.2519926691338042,
0.30000746914691995,
0.286231284389071,
0.24482453692672468,
0.3198595404800726,
0.27736853760276675,
0.21535669295023302,
0.3074155827276822,
0.2483880954924395,
0.32913279347109453,
0.3245379450240023,
0.2769106252244114,
0.2311762919410553,
0.34408687443572394,
0.33023554399479993,
0.1859551430831575,
0.31879805876376704,
0.3039900092262283,
0.28404701475866767,
0.33507181417358334,
0.27516107130184264,
0.33594089765619056,
0.32862120351921636,
0.29368284725343935,
0.28515350640352716,
0.2918970226441136,
0.28112986517218264,
0.32374127537444936,
0.27839050895055956,
0.27725492416087594,
0.31805435954944306,
0.28625721762947354,
0.3156913188406274,
0.2849085901845693,
0.232527223341097,
0.3202041467522598,
0.28796507983468633,
0.32614806990729633,
0.3297660477368908,
0.30034832179674825,
0.30851812347860225,
0.2947753645447643,
0.3246454993828513,
0.28822783234991634,
0.29895017219383874,
0.29151264369520263,
0.32649349947118866,
0.2962287419837617,
0.3078973739736261,
0.33528626055803556,
0.26510704910714944,
0.31506342367456563,
0.2949261534830452,
0.26189638966664375,
0.2871627185446663,
0.29613224249644404,
0.29664759210793773,
0.28319666082145634,
0.28788026634179026,
0.292312291021224,
0.2865395085087328,
0.2947197777670044,
0.2933479102005172,
0.2959786358435445,
0.3027313954950042,
0.29171026446995957,
0.28941186757342313,
0.2845579540857186,
0.27947620546421703,
0.3029669552281249
],
"VAL_LOSS": [
1980371515.6283417,
2331930208.3602295,
2317490881.95932,
2819835530.6470795,
2822612084.147812,
2825050087.3783035,
2832841924.4424744,
2828542196.3437653,
2830649534.9705734,
2833732347.011574,
2827651429.919586,
2826150305.5835266,
2834411631.9192047,
2833732347.011574,
2832744906.80999,
2834411631.9192047,
2832841924.4424744,
2832402947.0072403,
2840567677.5892563,
2838924045.5860443,
2833732347.011574,
2828313712.387474,
2559895199.6241684,
2826432515.690178,
2908921670.353424,
2850559338.852211,
2863958215.1287613,
2829868556.921295,
2858916430.856003,
137473710.99343872,
2834411631.9192047,
606771200.7890778,
-42129908.10960388,
2854610263.167618,
1518968913.9368744,
1106421905.337822,
-675237647.2997589,
2878693431.6173553,
1159799725.5097656,
2868253250.684662,
1321828726.117096,
-167629163.80760193,
-469209721.4328613,
2846981860.7448044,
-11761027.73828125,
-1962947822.4859772,
473012856.764122,
1007931776.9229355,
-743625691.3127899,
-712180441.1357574,
-545398579.3018951,
-2106860408.9212646,
-768430459.0790405,
606529637.594986,
-359446616.1786804,
712606085.5853043,
-794716062.4530029,
-327954530.48431396,
-829978078.4037628,
-1052612458.6554413,
669557828.1912994,
-2180735667.4397583,
1901485594.772705,
592756908.9806137,
-606209458.7969513,
-555409061.7654266,
-812482755.0480194,
791015391.8957748,
449648337.6914673,
1297491668.8169098,
-1454303010.5930176,
10698480.887924194,
-1807772469.8471375,
900508130.2321701,
732187907.3213806,
281970007.91555786,
806509892.1712112,
-781267347.3904877,
934416438.6314697,
486511468.65576935,
-2223978375.4735107,
-1612500277.816162,
-1046509739.6015778,
-930714818.9605713,
-1740497481.4578552,
292700233.59399414,
-596109187.9647064,
-720493330.5613556,
732876503.441391,
-654002826.6261749,
-739043354.0513763,
265569173.2825775,
-801875604.4730225,
487388412.9267273,
-374260412.4115906
],
"RAM_USAGE": [
648.1313746712766,
648.9636579371347,
648.9061237976528,
650.9402339177445,
651.0510879359986,
651.1808451978558,
651.4073994198615,
651.2316343140776,
651.5366296723785,
651.9036366027847,
651.1589777653367,
651.1845400466963,
651.4962922505897,
651.9036366027847,
652.0883287308361,
651.4962922505897,
651.4073994198615,
651.4899919783298,
651.4840220674614,
651.8178485945093,
651.9036366027847,
651.3270932836281,
652.2503855315922,
651.3663529563039,
652.6341209843082,
652.7396507036474,
653.115483955691,
651.5796574687915,
653.6332097489319,
683.9210161587362,
651.4962922505897,
654.7913018348561,
690.51928223509,
653.1590433653298,
687.1571726110213,
689.9454201420921,
692.7381259055163,
656.0767950161832,
671.2881492689778,
659.393696706082,
654.2456095094458,
683.4521948716364,
685.4695905936597,
651.868870319071,
692.9319924820343,
700.8773045910995,
679.7790361521078,
685.5215395532017,
688.7304066082049,
703.8651751331848,
698.1055049617521,
690.3649803224494,
690.419395279212,
715.3470299798164,
694.3910919320981,
698.7907312741795,
693.3959461685921,
691.221528058361,
689.35402509305,
681.3148837347542,
691.9829367385028,
701.4092429803578,
703.374437477137,
692.3730778646968,
699.7931203903964,
702.1587869414599,
694.3510948967386,
702.3225558748882,
742.275929408461,
746.5993072292414,
709.8682554601852,
689.0373759230707,
746.054468763074,
700.0681222950274,
678.7614692708548,
711.0771128279036,
729.9165283013232,
713.6751586531236,
706.647021304862,
709.7220507178656,
750.8178950575674,
712.7876650601868,
735.7378870563836,
723.8114993073125,
736.5766214515428,
748.6038805528918,
763.1156334043587,
740.096584457103,
752.7990068691862,
758.8615355869172,
724.5397434801328,
771.1266488686449,
730.0605498427651,
721.7558987883817,
777.8946086104435
],
"RUNTIME": [
197.24731501776154,
145.94004059452266,
145.67184085183806,
89.67151394358501,
87.56777327913977,
85.81880249045727,
84.44384420485423,
85.82094073849575,
83.43853632244497,
82.82652626510102,
87.56942942947697,
85.81932303381228,
83.44321631804465,
82.82652626510102,
82.82583594913643,
83.44321631804465,
84.44384420485423,
83.44048604848243,
82.90144910368977,
85.832656770933,
82.82652626510102,
84.43907742916244,
83.23334987975116,
84.43785744560873,
83.82596700021466,
84.47294686148331,
81.84361587524234,
83.43785417262376,
84.48934381684074,
8.971106952982808,
83.44321631804465,
89.56003773440816,
9.11832479136288,
84.48075783760129,
9.319612220905185,
9.57126711548591,
10.334142158237398,
84.5314350871223,
54.59091671437562,
81.0459654614944,
87.74461414385135,
14.609790712256341,
9.135249513703059,
81.2068160884728,
14.960467017179525,
10.957093212196781,
17.01508828032513,
8.78045718180391,
8.49991884298035,
15.022731775067058,
16.725635530798343,
9.672170722503807,
8.568316020000225,
17.470328292997664,
12.091600850790428,
12.540845440046269,
14.22107945924077,
10.619376469769321,
8.36141398871024,
72.5648622876412,
10.571086561597639,
9.984020535146811,
17.108239730702735,
9.787869774996324,
9.298302995091518,
8.465008152644003,
8.897999758019012,
14.394507754659827,
14.300732990276714,
42.99123589197086,
12.961368814701899,
17.24381521520786,
11.675066239857813,
18.608160211606105,
22.94864508656653,
21.64156406758255,
9.145415826563124,
8.106355804885823,
19.99293126200331,
15.324489221745779,
9.421223269201704,
8.388681893139022,
9.74328795737793,
12.697871279596995,
11.139329948863121,
20.572664238860455,
11.395121129719655,
12.10329690995647,
10.667595701079364,
9.05841345201614,
10.824772861386748,
14.036456380279589,
13.060735705167616,
13.484037633293838,
17.69552170234914
]
},
"sems": {
"VAL_ACCURACY": [
0.12891477186599432,
0.08454781575719486,
0.0826029434325806,
0.05970955190843915,
0.05949205238787903,
0.05970262630233802,
0.05838248191194685,
0.05857013019591447,
0.061340953346577125,
0.06365396544886999,
0.05819474632493524,
0.059292380958769306,
0.05936403188779658,
0.06365396544886999,
0.06502546919693858,
0.05936403188779658,
0.05838248191194685,
0.06029192363242481,
0.035980206417495886,
0.05712549078441147,
0.06365396544886999,
0.05996954005455475,
0.05993129688531892,
0.060952610910922064,
0.06183329826016227,
0.05686358431544026,
0.0518224415346489,
0.061908604532009075,
0.05735963565638565,
0.10998923853570429,
0.05936403188779658,
0.06773438740203318,
0.1107772684264929,
0.05704428900429618,
0.11320123389745523,
0.11470195120821831,
0.12578575385486368,
0.05985425796912981,
0.09061555120785568,
0.08094930145234114,
0.05922283643365173,
0.11168080204838418,
0.11868692089074297,
0.04028512892417347,
0.10391446279623628,
0.12599158333769767,
0.10078588027575971,
0.10982114167400753,
0.12350928366502927,
0.12348994558445699,
0.12452263818583126,
0.12491192191950526,
0.11016847684922701,
0.12394692263489009,
0.12239755498424787,
0.11200614993064693,
0.12338248108185774,
0.11450406787583885,
0.12506360003188371,
0.11520003018077374,
0.11212811455987999,
0.1251334489394046,
0.11123994876462132,
0.10564126690343803,
0.12330401499976495,
0.120174696959111,
0.12531732078227384,
0.10876663341549167,
0.12074261432480267,
0.1227143730768194,
0.12473312306665556,
0.11287050666134632,
0.12252034334603362,
0.11729109624277685,
0.0973052996983146,
0.12119926323838591,
0.11004163219326549,
0.11814871413060955,
0.12159586591979148,
0.12301749694040826,
0.1170183207223688,
0.11591329733369972,
0.12730451468361695,
0.11532894535196063,
0.11902238953357742,
0.12638501697017693,
0.12794128165522559,
0.1238782303376343,
0.1056588786416073,
0.12791077792753158,
0.12416174406867386,
0.09466486771584759,
0.11962162991145137,
0.12397197489779674,
0.12688024770441148
],
"VAL_LOSS": [
32999433790.861656,
34376746991.221214,
34436510850.2235,
20329055405.714,
20178456879.19012,
20079322518.79373,
19826782653.814625,
19957795120.353664,
20007270264.28795,
20094945963.79974,
20023840134.63068,
20037681161.23052,
19828338889.9938,
20094945963.79974,
20200042957.997093,
19828338889.9938,
19826782653.814625,
19915562484.345314,
18701550914.603127,
19714552892.59492,
20094945963.79974,
19991640230.12621,
18903398963.68919,
20080831846.646793,
19613905058.399654,
19469562712.743973,
18660781833.694664,
20054786565.90204,
19375740459.598114,
17124868145.838327,
19828338889.9938,
14194519292.840078,
18185283710.020348,
19420202341.279953,
18562063361.42592,
19236576401.749317,
19776119771.724934,
19247502710.23587,
16266214920.746313,
20361895256.654995,
15937486760.93162,
16427984873.608583,
16992139257.607655,
18571542201.169434,
15796400919.962986,
15114261999.365305,
16037983606.747442,
18080804141.59118,
17374290840.10636,
12820490569.34971,
19730478114.596584,
14610875190.589293,
15935606198.050367,
12689948139.862572,
20423463762.602867,
13850392608.990452,
19264217526.411293,
16491984710.73385,
18138751938.69513,
21898043843.32616,
18961866182.869495,
14304379055.815914,
15135744084.477467,
15955364536.661922,
18011190028.542778,
17187862916.13023,
17998562542.69615,
16112798079.837881,
11623726846.874268,
18048342412.148964,
18050125765.58017,
15998337312.88629,
14527337147.73594,
12841188287.271193,
16575374640.946672,
14737522698.748367,
15929455047.655594,
17381449110.38458,
13394237645.442059,
12044902380.225073,
16040188711.26491,
15757989319.62774,
15196228897.26938,
17435470413.07252,
14456910546.216858,
14098193173.653297,
16897505477.061687,
18652159483.470806,
13562640409.5957,
17679274093.56147,
12805209310.585686,
12228275246.304985,
12867227443.24948,
13561312418.501501,
14668119218.17491
],
"RAM_USAGE": [
21.331521208499208,
20.880591787709154,
20.97389750318158,
16.84805223091242,
16.65368700605487,
16.552616017973108,
16.16618978515076,
16.33255973834187,
16.619035179415796,
16.959836610682974,
16.39772352416378,
16.47353926597827,
16.240139664260443,
16.959836610682974,
17.22508239081404,
16.240139664260486,
16.16618978515076,
16.418453924375182,
15.96691101635678,
16.02779571603731,
16.959836610682974,
16.473922075246488,
15.737819618823888,
16.661714716126475,
16.070992028701266,
15.824879992637005,
17.48789582542158,
16.727449340789775,
15.897286239084684,
14.32097062806113,
16.240139664260443,
15.369871760264125,
16.42383207450193,
15.847544462173948,
16.75092576898248,
17.638672362823574,
15.107092892659018,
16.370050838841472,
15.427172801913235,
22.973157570284073,
15.287115053810105,
13.08524020122838,
13.2245581153686,
16.195979246155193,
13.402859649395987,
15.523577649351484,
14.19362797615393,
15.88036804606051,
12.883663340058263,
11.693735228750498,
16.366572975085077,
12.840985027520755,
14.817369296913675,
11.883652492965581,
13.540004802007028,
11.168366848881329,
12.9552822937141,
13.108919387322311,
13.070945852351016,
14.921457877221021,
17.999130847630134,
12.356841800977326,
11.789941522056484,
12.629537056583956,
13.243359721810622,
14.131714794651428,
12.98426227700782,
13.201039357954537,
9.756132171415691,
12.66030585284587,
14.368273226585503,
13.670856946948629,
12.810133779569764,
11.066548692479184,
13.727038625685394,
13.038080666780992,
13.287040062863866,
12.55052946970493,
12.909744613332332,
10.53862854887368,
16.500953595456878,
14.305957738605185,
15.493526427946057,
12.286373068860073,
12.342410780786421,
11.59064275270467,
14.716230739211749,
12.886640034794747,
10.573419066788453,
15.046602423043973,
11.205322034290846,
9.690846151521749,
10.038320998170445,
12.912419954061258,
12.83641666111156
],
"RUNTIME": [
111.75804662757577,
97.07779453227353,
97.2554633947656,
65.72538459187489,
63.772378073257705,
61.76723040481918,
59.738817005774536,
61.77344030991942,
57.69407149143558,
55.684131062319736,
63.78417686737079,
61.768992737575694,
57.69381094403801,
55.684131062319736,
55.69041665458046,
57.69381094403801,
59.738817005774536,
57.693261291881036,
48.2691736853277,
61.79869110766395,
55.684131062319736,
59.733024583809346,
53.24561853431584,
59.73206841333142,
48.9288152229516,
59.78139796397656,
33.89209436117558,
57.694986515563194,
59.80655634370908,
69.13469761924344,
57.69381094403801,
48.54007979506147,
68.02300934930157,
59.793333253644974,
74.12796233779582,
72.10301787520004,
70.61604152606895,
59.87230029662371,
49.347355971353664,
40.1540982912146,
55.280527494361486,
65.54728053602099,
68.58242963197668,
42.63626432149094,
78.7411948270073,
69.86491620756011,
65.50967022918061,
72.26751227541193,
69.17727582733784,
72.70644558997733,
75.19865358451143,
68.9752788902301,
73.7157924060751,
72.64298026418449,
69.44424579815123,
69.37040159783322,
69.69802384899832,
67.87359559465983,
69.70945708982212,
57.27261587713692,
68.82234482439806,
68.78004474491797,
74.23571133283568,
72.52942138696415,
72.83436825718331,
70.13419919071049,
70.78678402849523,
66.03287670354366,
73.23362141725478,
83.70929553979073,
71.34217183852613,
68.81278956343408,
71.80845652459139,
67.98721244945443,
62.14159835499623,
73.37338210438452,
72.39874715143115,
70.99950856498319,
73.56375053405408,
71.79313272630934,
72.62768950995438,
71.1918091322097,
71.55302610682267,
69.58658934424662,
72.30264968596067,
73.9541779228714,
70.51415536516605,
70.8577882332166,
72.63969481444273,
72.54811003362131,
71.59324114280962,
74.02979921477754,
68.08463579859088,
71.84112476379543,
72.11341437646199
]
},
"absolute_metrics": [
"VAL_ACCURACY",
"VAL_LOSS",
"RAM_USAGE",
"RUNTIME"
]
}
}
};
var tab_results_headers_json = [
"trial_index",
"arm_name",
"trial_status",
"generation_method",
"generation_node",
"VAL_ACCURACY",
"VAL_LOSS",
"RAM_USAGE",
"RUNTIME",
"width",
"height",
"dense",
"dense_units",
"epochs",
"conv",
"conv_filters",
"learning_rate",
"activation"
];
var tab_results_csv_json = [
[
0,
"0_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.279,
1.5264,
813.16,
262,
26,
73,
1,
57,
15,
3,
24,
0.03209244310855865,
"swish"
],
[
1,
"1_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.1966,
1.7248,
1005.06,
229,
78,
29,
28,
118,
27,
1,
16,
0.08552134484052659,
"sigmoid"
],
[
2,
"2_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2796,
1.6914,
911.67,
274,
56,
52,
11,
23,
32,
2,
32,
0.05853989673778415,
"tanh"
],
[
3,
"3_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5241,
845.47,
291,
46,
46,
18,
92,
9,
4,
8,
0.011370722576975823,
"swish"
],
[
4,
"4_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5294,
977.12,
339,
42,
59,
31,
73,
3,
3,
25,
0.06965304324403405,
"relu"
],
[
5,
"5_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.4198,
1.3094,
696.93,
180,
63,
40,
6,
6,
37,
1,
1,
0.022864626906812194,
"gelu"
],
[
6,
"6_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5336,
1118.54,
399,
71,
79,
21,
103,
22,
2,
17,
0.0459892270155251,
"swish"
],
[
7,
"7_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5308,
762.97,
234,
31,
23,
16,
44,
20,
4,
9,
0.09901753459125757,
"gelu"
],
[
8,
"8_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2462,
5858663071744,
894.3,
456,
30,
55,
23,
16,
30,
4,
28,
0.06839230097830296,
"leaky_relu"
],
[
9,
"9_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5263,
804.71,
198,
66,
43,
14,
67,
12,
2,
4,
0.015556015353649855,
"gelu"
],
[
10,
"10_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5343,
907.45,
185,
61,
68,
29,
34,
6,
1,
20,
0.04096867069602013,
"sigmoid"
],
[
11,
"11_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
2.8446,
778.44,
142,
36,
34,
8,
109,
33,
3,
12,
0.08755858084186913,
"tanh"
],
[
12,
"12_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5275,
1104.6,
321,
45,
75,
9,
128,
38,
4,
21,
0.031033891625702383,
"gelu"
],
[
13,
"13_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5308,
805.54,
141,
51,
27,
20,
51,
2,
2,
13,
0.07801056699827313,
"relu"
],
[
14,
"14_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5584,
976.76,
222,
76,
62,
3,
82,
17,
1,
29,
0.053330907039344316,
"relu"
],
[
15,
"15_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.6086,
1.154,
760.96,
282,
21,
36,
26,
29,
25,
3,
5,
0.0001002260483801365,
"tanh"
],
[
16,
"16_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5537,
825.03,
208,
23,
65,
13,
97,
10,
2,
15,
0.0504863559268415,
"swish"
],
[
17,
"17_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5252,
955.34,
468,
75,
37,
24,
46,
32,
4,
23,
0.0038969196379184724,
"relu"
],
[
18,
"18_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5292,
826.34,
185,
52,
75,
7,
79,
26,
3,
7,
0.027652088087052107,
"sigmoid"
],
[
19,
"19_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5496,
822.98,
124,
43,
24,
30,
4,
13,
1,
31,
0.08048904426395893,
"gelu"
],
[
20,
"20_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5317,
758.97,
133,
38,
66,
19,
17,
18,
2,
2,
0.038027142826467755,
"sigmoid"
],
[
21,
"21_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2577,
2.6246,
918.89,
328,
59,
32,
10,
94,
21,
4,
26,
0.09125696253031493,
"tanh"
],
[
22,
"22_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5264,
917.46,
393,
68,
56,
25,
63,
37,
3,
10,
0.06510902391746641,
"swish"
],
[
23,
"23_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.452,
1.8733,
790.06,
134,
28,
46,
4,
116,
5,
1,
18,
0.01813130248337984,
"relu"
],
[
24,
"24_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2097,
2.0986,
815.84,
124,
33,
78,
27,
88,
35,
1,
3,
0.04844237826764584,
"tanh"
],
[
25,
"25_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5394,
790.67,
240,
69,
20,
2,
27,
7,
3,
27,
0.09561221702024342,
"swish"
],
[
26,
"26_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.6295,
980.28,
245,
64,
61,
17,
122,
11,
4,
11,
0.07342469692230225,
"sigmoid"
],
[
27,
"27_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5336,
776,
142,
40,
41,
12,
53,
28,
2,
19,
0.019996275659650564,
"relu"
],
[
28,
"28_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.4447,
1.6903,
768.34,
131,
48,
52,
5,
40,
23,
1,
14,
0.0610915744677186,
"leaky_relu"
],
[
29,
"29_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5244,
1089.67,
642,
54,
50,
32,
107,
16,
3,
22,
0.008062214870005847,
"relu"
],
[
30,
"30_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.3522,
1.4878,
875.73,
242,
80,
70,
15,
10,
2,
4,
6,
0.03576712068170309,
"tanh"
],
[
31,
"31_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5298,
838.34,
138,
24,
29,
22,
69,
40,
2,
30,
0.08255468169227242,
"swish"
],
[
32,
"32_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5372,
843.06,
131,
24,
50,
29,
114,
19,
2,
7,
0.09391246689483523,
"relu"
],
[
33,
"33_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2791,
1.5889,
1036.95,
410,
79,
48,
8,
61,
23,
4,
31,
0.047139210626482964,
"gelu"
],
[
34,
"34_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.3147,
138027384832,
1014.66,
1113,
55,
71,
23,
96,
36,
3,
15,
0.021726746018975975,
"leaky_relu"
],
[
35,
"35_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5337,
758.29,
241,
49,
31,
14,
19,
4,
1,
23,
0.0747459962964058,
"swish"
],
[
36,
"36_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.524,
739.28,
154,
39,
80,
3,
2,
9,
2,
10,
0.0062709000892937185,
"sigmoid"
],
[
37,
"37_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
"",
"",
64,
22,
26,
77,
31,
4,
18,
0.059684635140001774,
"leaky_relu"
],
[
38,
"38_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.0985,
1.8332,
785.06,
318,
70,
59,
9,
48,
27,
3,
2,
0.08436448583379388,
"tanh"
],
[
39,
"39_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5301,
857.08,
203,
34,
40,
20,
99,
14,
1,
26,
0.03720437493175268,
"sigmoid"
],
[
40,
"40_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.5953,
1.176,
731.9,
192,
29,
68,
11,
71,
24,
1,
11,
0.00521235391497612,
"gelu"
],
[
41,
"41_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.1232,
3.4004,
839.85,
260,
69,
34,
18,
12,
18,
3,
19,
0.052173863258212806,
"leaky_relu"
],
[
42,
"42_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.3043,
1.7468,
733.75,
90,
58,
55,
1,
105,
1,
4,
3,
0.07915550209581852,
"swish"
],
[
43,
"43_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2427,
1.7284,
910.06,
221,
37,
44,
28,
38,
39,
2,
27,
0.025933884363621474,
"tanh"
],
[
44,
"44_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.535,
794.86,
129,
44,
63,
21,
55,
34,
1,
6,
0.09265173058956862,
"relu"
],
[
45,
"45_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.3511,
468589936640,
1022.71,
320,
54,
35,
16,
124,
6,
3,
30,
0.039830605033785105,
"leaky_relu"
],
[
46,
"46_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5388,
965.95,
317,
73,
77,
31,
25,
13,
4,
14,
0.016706195659935474,
"leaky_relu"
],
[
47,
"47_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5325,
755.6,
171,
22,
25,
6,
86,
30,
2,
22,
0.06328704850748182,
"gelu"
],
[
48,
"48_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5362,
881.8,
171,
20,
73,
17,
42,
5,
3,
32,
0.013862413447350265,
"gelu"
],
[
49,
"49_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2903,
2.3592,
793.41,
243,
76,
25,
12,
101,
38,
1,
8,
0.0670829851180315,
"tanh"
],
[
50,
"50_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5387,
905.33,
508,
52,
64,
27,
8,
21,
2,
24,
0.08927069595083595,
"sigmoid"
],
[
51,
"51_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5368,
805.34,
221,
46,
38,
2,
75,
19,
4,
16,
0.04230832532048226,
"relu"
],
[
52,
"52_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.585,
871.55,
428,
36,
57,
15,
90,
14,
3,
17,
0.0762131934054196,
"sigmoid"
],
[
53,
"53_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.53,
815.11,
196,
60,
45,
22,
21,
26,
1,
9,
0.029633011110126974,
"swish"
],
[
54,
"54_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.5519,
4.7119,
1098.14,
429,
67,
66,
5,
120,
33,
2,
25,
0.0019282960332930089,
"leaky_relu"
],
[
55,
"55_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2982,
2.0047,
804.02,
176,
30,
32,
32,
59,
10,
4,
1,
0.054749895446002485,
"tanh"
],
[
56,
"56_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.3024,
1.7538,
836.38,
382,
32,
60,
7,
31,
40,
4,
20,
0.08681841790676117,
"tanh"
],
[
57,
"57_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
"",
"",
72,
42,
30,
84,
3,
2,
12,
0.033798312302678823,
"leaky_relu"
],
[
58,
"58_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.4335,
1.3647,
1017.42,
300,
61,
77,
13,
49,
16,
1,
28,
0.01004333458840847,
"swish"
],
[
59,
"59_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5273,
809,
171,
41,
21,
24,
126,
24,
3,
4,
0.05681553883478046,
"gelu"
],
[
60,
"60_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.357,
1.6714,
1109.15,
370,
47,
71,
25,
111,
29,
4,
29,
0.024277654848992827,
"tanh"
],
[
61,
"61_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1312.5044,
708.39,
298,
57,
28,
4,
36,
11,
2,
5,
0.07143824556842447,
"leaky_relu"
],
[
62,
"62_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
"",
"",
77,
54,
19,
65,
8,
1,
21,
0.09758637491613627,
"leaky_relu"
],
[
63,
"63_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5432,
762.67,
142,
25,
48,
10,
14,
35,
3,
13,
0.044173304457217455,
"sigmoid"
],
[
64,
"64_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
"",
"",
26,
60,
20,
83,
23,
4,
10,
0.04313344303518534,
"leaky_relu"
],
[
65,
"65_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5296,
828.44,
168,
78,
39,
9,
32,
20,
2,
18,
0.09010725440457464,
"sigmoid"
],
[
66,
"66_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5325,
857.77,
143,
57,
80,
26,
125,
4,
1,
2,
0.0662586247548461,
"swish"
],
[
67,
"67_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.6108,
2.3921,
792.52,
203,
48,
22,
3,
50,
36,
3,
26,
0.013025085721164942,
"relu"
],
[
68,
"68_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5396,
829.21,
179,
41,
72,
14,
35,
31,
4,
7,
0.05548728667199612,
"swish"
],
[
69,
"69_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5326,
1048.38,
344,
62,
30,
23,
112,
9,
2,
31,
0.0026542405597865582,
"relu"
],
[
70,
"70_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.365,
1.4578,
768.34,
257,
72,
51,
8,
13,
15,
1,
15,
0.02889487445354462,
"tanh"
],
[
71,
"71_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
"",
"",
33,
47,
29,
66,
28,
3,
23,
0.07548803007230163,
"leaky_relu"
],
[
72,
"72_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5262,
820.36,
353,
30,
76,
6,
102,
18,
3,
6,
0.05755367511883378,
"gelu"
],
[
73,
"73_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.2789,
1.5286,
863.48,
134,
66,
26,
31,
41,
25,
1,
30,
0.010768498294055462,
"relu"
],
[
74,
"74_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.303,
1.5427,
882.16,
190,
60,
63,
16,
76,
39,
2,
14,
0.033060920704156165,
"sigmoid"
],
[
75,
"75_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.2793,
49438.1016,
736.59,
139,
54,
64,
10,
66,
27,
1,
1,
0.014134787988107859,
"leaky_relu"
],
[
76,
"76_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.2789,
107100766208,
775.44,
146,
55,
71,
18,
14,
37,
1,
6,
0.05908652351642892,
"leaky_relu"
],
[
77,
"77_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.1751,
2.0136,
760.71,
140,
53,
31,
1,
106,
31,
1,
18,
0,
"leaky_relu"
],
[
78,
"78_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.2365,
2.2022,
658.88,
114,
20,
65,
1,
47,
26,
1,
5,
0,
"relu"
],
[
79,
"79_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.0985,
2.0014,
696.97,
124,
53,
55,
6,
75,
3,
1,
1,
0,
"sigmoid"
],
[
80,
"80_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.679,
2.0655,
754.82,
209,
54,
51,
2,
57,
31,
1,
15,
0.007317698416411803,
"leaky_relu"
],
[
81,
"81_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.2892,
175.3478,
748.03,
127,
55,
32,
13,
14,
15,
1,
26,
0.0646501714598352,
"leaky_relu"
],
[
82,
"82_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.2124,
1.8061,
709.75,
129,
80,
50,
2,
70,
36,
1,
1,
0,
"gelu"
],
[
83,
"83_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.2378,
1.8765,
661.45,
62,
37,
65,
1,
65,
1,
1,
1,
0,
"gelu"
],
[
84,
"84_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.1521,
1.8112,
702.78,
111,
34,
21,
3,
23,
4,
3,
12,
0,
"tanh"
],
[
85,
"85_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.1759,
2.011,
660.64,
114,
20,
66,
1,
68,
11,
1,
2,
0,
"gelu"
],
[
86,
"86_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7548,
1.8478,
765.72,
178,
50,
42,
1,
66,
24,
1,
9,
0.0029938429203526648,
"leaky_relu"
],
[
87,
"87_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.2789,
2.0048,
679.56,
169,
35,
54,
1,
69,
5,
1,
3,
0,
"sigmoid"
],
[
88,
"88_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6645,
1.132,
692.04,
181,
71,
20,
1,
80,
15,
3,
1,
0.0036899276365386234,
"sigmoid"
],
[
89,
"89_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.1698,
2.1086,
739.38,
137,
80,
72,
1,
85,
9,
1,
1,
0,
"relu"
],
[
90,
"90_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.0985,
1.9138,
726.3,
199,
69,
20,
2,
25,
19,
3,
14,
0,
"sigmoid"
],
[
91,
"91_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.1614,
2.3894,
696,
126,
44,
68,
1,
78,
3,
1,
1,
0,
"gelu"
],
[
92,
"92_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.1361,
1.859,
729.69,
127,
44,
59,
1,
63,
37,
1,
7,
0,
"sigmoid"
],
[
93,
"93_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.1638,
1.7641,
724.02,
169,
20,
61,
1,
70,
40,
1,
16,
0,
"sigmoid"
],
[
94,
"94_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.356,
2.0317,
669.91,
61,
20,
20,
1,
95,
1,
3,
9,
0.025910456544662494,
"sigmoid"
],
[
95,
"95_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6676,
1.216,
713.32,
168,
21,
21,
4,
85,
39,
3,
14,
0.007229049290819483,
"swish"
],
[
96,
"96_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7207,
1.1165,
715.33,
242,
20,
23,
4,
37,
38,
3,
13,
0.0005557458202912064,
"gelu"
],
[
97,
"97_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.4739,
2.0458,
678.55,
173,
60,
34,
1,
4,
34,
1,
9,
0.0551104397026357,
"leaky_relu"
],
[
98,
"98_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.1021,
1.8696,
798.72,
129,
20,
66,
10,
93,
24,
1,
20,
0,
"relu"
],
[
99,
"99_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.1965,
1.6342,
782.01,
123,
54,
31,
11,
102,
5,
1,
8,
0,
"leaky_relu"
]
];
var tab_job_infos_headers_json = [
"start_time",
"end_time",
"run_time",
"program_string",
"width",
"height",
"dense",
"dense_units",
"epochs",
"conv",
"conv_filters",
"learning_rate",
"activation",
"VAL_ACCURACY",
"VAL_LOSS",
"RAM_USAGE",
"RUNTIME",
"exit_code",
"signal",
"hostname",
"OO_Info_SLURM_JOB_ID"
];
var tab_job_infos_csv_json = [
[
1744336097,
1744336239,
142,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.08755858084186913 --epochs=33 --validation_split=0.9 --width=36 --height=34 --dense=8 --dense_units=109 --conv=3 --conv_filters=12 --data=data_full --activation=tanh ",
36,
34,
8,
109,
33,
3,
12,
0.08755858084186913,
"tanh",
0.303,
2.8446,
778.44,
142,
0,
"None",
"i8035",
686092
],
[
1744336097,
1744336239,
142,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.07801056699827313 --epochs=2 --validation_split=0.9 --width=51 --height=27 --dense=20 --dense_units=51 --conv=2 --conv_filters=13 --data=data_full --activation=relu ",
51,
27,
20,
51,
2,
2,
13,
0.07801056699827313,
"relu",
0.303,
1.5308,
805.54,
141,
0,
"None",
"i8035",
686094
],
[
1744336113,
1744336242,
129,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.04844237826764584 --epochs=35 --validation_split=0.9 --width=33 --height=78 --dense=27 --dense_units=88 --conv=1 --conv_filters=3 --data=data_full --activation=tanh ",
33,
78,
27,
88,
35,
1,
3,
0.04844237826764584,
"tanh",
0.2097,
2.0986,
815.84,
124,
0,
"None",
"i8033",
686106
],
[
1744336113,
1744336243,
130,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.08048904426395893 --epochs=13 --validation_split=0.9 --width=43 --height=24 --dense=30 --dense_units=4 --conv=1 --conv_filters=31 --data=data_full --activation=gelu ",
43,
24,
30,
4,
13,
1,
31,
0.08048904426395893,
"gelu",
0.2789,
1.5496,
822.98,
124,
0,
"None",
"i8034",
686101
],
[
1744336113,
1744336249,
136,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.01813130248337984 --epochs=5 --validation_split=0.9 --width=28 --height=46 --dense=4 --dense_units=116 --conv=1 --conv_filters=18 --data=data_full --activation=relu ",
28,
46,
4,
116,
5,
1,
18,
0.01813130248337984,
"relu",
0.452,
1.8733,
790.06,
134,
0,
"None",
"i8033",
686105
],
[
1744336113,
1744336249,
136,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.038027142826467755 --epochs=18 --validation_split=0.9 --width=38 --height=66 --dense=19 --dense_units=17 --conv=2 --conv_filters=2 --data=data_full --activation=sigmoid ",
38,
66,
19,
17,
18,
2,
2,
0.038027142826467755,
"sigmoid",
0.2789,
1.5317,
758.97,
133,
0,
"None",
"i8034",
686102
],
[
1744336093,
1744336278,
185,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.022864626906812194 --epochs=37 --validation_split=0.9 --width=63 --height=40 --dense=6 --dense_units=6 --conv=1 --conv_filters=1 --data=data_full --activation=gelu ",
63,
40,
6,
6,
37,
1,
1,
0.022864626906812194,
"gelu",
0.4198,
1.3094,
696.93,
180,
0,
"None",
"i8036",
686086
],
[
1744336097,
1744336283,
186,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.04096867069602013 --epochs=6 --validation_split=0.9 --width=61 --height=68 --dense=29 --dense_units=34 --conv=1 --conv_filters=20 --data=data_full --activation=sigmoid ",
61,
68,
29,
34,
6,
1,
20,
0.04096867069602013,
"sigmoid",
0.303,
1.5343,
907.45,
185,
0,
"None",
"i8035",
686091
],
[
1744336093,
1744336297,
204,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.015556015353649855 --epochs=12 --validation_split=0.9 --width=66 --height=43 --dense=14 --dense_units=67 --conv=2 --conv_filters=4 --data=data_full --activation=gelu ",
66,
43,
14,
67,
12,
2,
4,
0.015556015353649855,
"gelu",
0.2789,
1.5263,
804.71,
198,
0,
"None",
"i8036",
686090
],
[
1744336118,
1744336304,
186,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.027652088087052107 --epochs=26 --validation_split=0.9 --width=52 --height=75 --dense=7 --dense_units=79 --conv=3 --conv_filters=7 --data=data_full --activation=sigmoid ",
52,
75,
7,
79,
26,
3,
7,
0.027652088087052107,
"sigmoid",
0.303,
1.5292,
826.34,
185,
0,
"None",
"i8034",
686100
],
[
1744336097,
1744336307,
210,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0504863559268415 --epochs=10 --validation_split=0.9 --width=23 --height=65 --dense=13 --dense_units=97 --conv=2 --conv_filters=15 --data=data_full --activation=swish ",
23,
65,
13,
97,
10,
2,
15,
0.0504863559268415,
"swish",
0.2789,
1.5537,
825.03,
208,
0,
"None",
"i8035",
686097
],
[
1744336073,
1744336308,
235,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.08552134484052659 --epochs=27 --validation_split=0.9 --width=78 --height=29 --dense=28 --dense_units=118 --conv=1 --conv_filters=16 --data=data_full --activation=sigmoid ",
78,
29,
28,
118,
27,
1,
16,
0.08552134484052659,
"sigmoid",
0.1966,
1.7248,
1005.06,
229,
0,
"None",
"i8037",
686081
],
[
1744336097,
1744336320,
223,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.053330907039344316 --epochs=17 --validation_split=0.9 --width=76 --height=62 --dense=3 --dense_units=82 --conv=1 --conv_filters=29 --data=data_full --activation=relu ",
76,
62,
3,
82,
17,
1,
29,
0.053330907039344316,
"relu",
0.303,
1.5584,
976.76,
222,
0,
"None",
"i8035",
686095
],
[
1744336093,
1744336327,
234,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.09901753459125757 --epochs=20 --validation_split=0.9 --width=31 --height=23 --dense=16 --dense_units=44 --conv=4 --conv_filters=9 --data=data_full --activation=gelu ",
31,
23,
16,
44,
20,
4,
9,
0.09901753459125757,
"gelu",
0.303,
1.5308,
762.97,
234,
0,
"None",
"i8036",
686088
],
[
1744336073,
1744336338,
265,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.03209244310855865 --epochs=15 --validation_split=0.9 --width=26 --height=73 --dense=1 --dense_units=57 --conv=3 --conv_filters=24 --data=data_full --activation=swish ",
26,
73,
1,
57,
15,
3,
24,
0.03209244310855865,
"swish",
0.279,
1.5264,
813.16,
262,
0,
"None",
"i8037",
686080
],
[
1744336073,
1744336351,
278,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.05853989673778415 --epochs=32 --validation_split=0.9 --width=56 --height=52 --dense=11 --dense_units=23 --conv=2 --conv_filters=32 --data=data_full --activation=tanh ",
56,
52,
11,
23,
32,
2,
32,
0.05853989673778415,
"tanh",
0.2796,
1.6914,
911.67,
274,
0,
"None",
"i8037",
686082
],
[
1744336073,
1744336369,
296,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.011370722576975823 --epochs=9 --validation_split=0.9 --width=46 --height=46 --dense=18 --dense_units=92 --conv=4 --conv_filters=8 --data=data_full --activation=swish ",
46,
46,
18,
92,
9,
4,
8,
0.011370722576975823,
"swish",
0.303,
1.5241,
845.47,
291,
0,
"None",
"i8036",
686083
],
[
1744336097,
1744336381,
284,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0001002260483801365 --epochs=25 --validation_split=0.9 --width=21 --height=36 --dense=26 --dense_units=29 --conv=3 --conv_filters=5 --data=data_full --activation=tanh ",
21,
36,
26,
29,
25,
3,
5,
0.0001002260483801365,
"tanh",
0.6086,
1.154,
760.96,
282,
0,
"None",
"i8035",
686096
],
[
1744336097,
1744336418,
321,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.031033891625702383 --epochs=38 --validation_split=0.9 --width=45 --height=75 --dense=9 --dense_units=128 --conv=4 --conv_filters=21 --data=data_full --activation=gelu ",
45,
75,
9,
128,
38,
4,
21,
0.031033891625702383,
"gelu",
0.303,
1.5275,
1104.6,
321,
0,
"None",
"i8035",
686093
],
[
1744336093,
1744336433,
340,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.06965304324403405 --epochs=3 --validation_split=0.9 --width=42 --height=59 --dense=31 --dense_units=73 --conv=3 --conv_filters=25 --data=data_full --activation=relu ",
42,
59,
31,
73,
3,
3,
25,
0.06965304324403405,
"relu",
0.303,
1.5294,
977.12,
339,
0,
"None",
"i8036",
686085
],
[
1744336113,
1744336446,
333,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.09125696253031493 --epochs=21 --validation_split=0.9 --width=59 --height=32 --dense=10 --dense_units=94 --conv=4 --conv_filters=26 --data=data_full --activation=tanh ",
59,
32,
10,
94,
21,
4,
26,
0.09125696253031493,
"tanh",
0.2577,
2.6246,
918.89,
328,
0,
"None",
"i8033",
686103
],
[
1744336094,
1744336496,
402,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0459892270155251 --epochs=22 --validation_split=0.9 --width=71 --height=79 --dense=21 --dense_units=103 --conv=2 --conv_filters=17 --data=data_full --activation=swish ",
71,
79,
21,
103,
22,
2,
17,
0.0459892270155251,
"swish",
0.303,
1.5336,
1118.54,
399,
0,
"None",
"i8036",
686087
],
[
1744336113,
1744336508,
395,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.06510902391746641 --epochs=37 --validation_split=0.9 --width=68 --height=56 --dense=25 --dense_units=63 --conv=3 --conv_filters=10 --data=data_full --activation=swish ",
68,
56,
25,
63,
37,
3,
10,
0.06510902391746641,
"swish",
0.303,
1.5264,
917.46,
393,
0,
"None",
"i8033",
686104
],
[
1744336093,
1744336550,
457,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.06839230097830296 --epochs=30 --validation_split=0.9 --width=30 --height=55 --dense=23 --dense_units=16 --conv=4 --conv_filters=28 --data=data_full --activation=leaky_relu ",
30,
55,
23,
16,
30,
4,
28,
0.06839230097830296,
"leaky_relu",
0.2462,
5858663071744,
894.3,
456,
0,
"None",
"i8036",
686089
],
[
1744336113,
1744336582,
469,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0038969196379184724 --epochs=32 --validation_split=0.9 --width=75 --height=37 --dense=24 --dense_units=46 --conv=4 --conv_filters=23 --data=data_full --activation=relu ",
75,
37,
24,
46,
32,
4,
23,
0.0038969196379184724,
"relu",
0.303,
1.5252,
955.34,
468,
0,
"None",
"i8035",
686099
],
[
1744336638,
1744336730,
92,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.059684635140001774 --epochs=31 --validation_split=0.9 --width=64 --height=22 --dense=26 --dense_units=77 --conv=4 --conv_filters=18 --data=data_full --activation=leaky_relu ",
64,
22,
26,
77,
31,
4,
18,
0.059684635140001774,
"leaky_relu",
0.0985,
"None",
872.87,
89,
0,
"None",
"i8035",
686135
],
[
1744336639,
1744336732,
93,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.07915550209581852 --epochs=1 --validation_split=0.9 --width=58 --height=55 --dense=1 --dense_units=105 --conv=4 --conv_filters=3 --data=data_full --activation=swish ",
58,
55,
1,
105,
1,
4,
3,
0.07915550209581852,
"swish",
0.3043,
1.7468,
733.75,
90,
0,
"None",
"i8035",
686140
],
[
1744336619,
1744336755,
136,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.09391246689483523 --epochs=19 --validation_split=0.9 --width=24 --height=50 --dense=29 --dense_units=114 --conv=2 --conv_filters=7 --data=data_full --activation=relu ",
24,
50,
29,
114,
19,
2,
7,
0.09391246689483523,
"relu",
0.303,
1.5372,
843.06,
131,
0,
"None",
"i8036",
686129
],
[
1744336619,
1744336755,
136,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0610915744677186 --epochs=23 --validation_split=0.9 --width=48 --height=52 --dense=5 --dense_units=40 --conv=1 --conv_filters=14 --data=data_full --activation=leaky_relu ",
48,
52,
5,
40,
23,
1,
14,
0.0610915744677186,
"leaky_relu",
0.4447,
1.6903,
768.34,
131,
0,
"None",
"i8036",
686125
],
[
1744336619,
1744336761,
142,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.08255468169227242 --epochs=40 --validation_split=0.9 --width=24 --height=29 --dense=22 --dense_units=69 --conv=2 --conv_filters=30 --data=data_full --activation=swish ",
24,
29,
22,
69,
40,
2,
30,
0.08255468169227242,
"swish",
0.2789,
1.5298,
838.34,
138,
0,
"None",
"i8036",
686128
],
[
1744336619,
1744336767,
148,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.019996275659650564 --epochs=28 --validation_split=0.9 --width=40 --height=41 --dense=12 --dense_units=53 --conv=2 --conv_filters=19 --data=data_full --activation=relu ",
40,
41,
12,
53,
28,
2,
19,
0.019996275659650564,
"relu",
0.303,
1.5336,
776,
142,
0,
"None",
"i8037",
686124
],
[
1744336639,
1744336769,
130,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.09265173058956862 --epochs=34 --validation_split=0.9 --width=44 --height=63 --dense=21 --dense_units=55 --conv=1 --conv_filters=6 --data=data_full --activation=relu ",
44,
63,
21,
55,
34,
1,
6,
0.09265173058956862,
"relu",
0.303,
1.535,
794.86,
129,
0,
"None",
"i8034",
686142
],
[
1744336637,
1744336792,
155,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0062709000892937185 --epochs=9 --validation_split=0.9 --width=39 --height=80 --dense=3 --dense_units=2 --conv=2 --conv_filters=10 --data=data_full --activation=sigmoid ",
39,
80,
3,
2,
9,
2,
10,
0.0062709000892937185,
"sigmoid",
0.303,
1.524,
739.28,
154,
0,
"None",
"i8035",
686134
],
[
1744336637,
1744336829,
192,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.00521235391497612 --epochs=24 --validation_split=0.9 --width=29 --height=68 --dense=11 --dense_units=71 --conv=1 --conv_filters=11 --data=data_full --activation=gelu ",
29,
68,
11,
71,
24,
1,
11,
0.00521235391497612,
"gelu",
0.5953,
1.176,
731.9,
192,
0,
"None",
"i8035",
686138
],
[
1744336659,
1744336831,
172,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.06328704850748182 --epochs=30 --validation_split=0.9 --width=22 --height=25 --dense=6 --dense_units=86 --conv=2 --conv_filters=22 --data=data_full --activation=gelu ",
22,
25,
6,
86,
30,
2,
22,
0.06328704850748182,
"gelu",
0.2789,
1.5325,
755.6,
171,
0,
"None",
"i8033",
686145
],
[
1744336659,
1744336832,
173,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.013862413447350265 --epochs=5 --validation_split=0.9 --width=20 --height=73 --dense=17 --dense_units=42 --conv=3 --conv_filters=32 --data=data_full --activation=gelu ",
20,
73,
17,
42,
5,
3,
32,
0.013862413447350265,
"gelu",
0.303,
1.5362,
881.8,
171,
0,
"None",
"i8029",
686146
],
[
1744336637,
1744336841,
204,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.03720437493175268 --epochs=14 --validation_split=0.9 --width=34 --height=40 --dense=20 --dense_units=99 --conv=1 --conv_filters=26 --data=data_full --activation=sigmoid ",
34,
40,
20,
99,
14,
1,
26,
0.03720437493175268,
"sigmoid",
0.303,
1.5301,
857.08,
203,
0,
"None",
"i8035",
686137
],
[
1744336619,
1744336860,
241,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.09561221702024342 --epochs=7 --validation_split=0.9 --width=69 --height=20 --dense=2 --dense_units=27 --conv=3 --conv_filters=27 --data=data_full --activation=swish ",
69,
20,
2,
27,
7,
3,
27,
0.09561221702024342,
"swish",
0.2789,
1.5394,
790.67,
240,
0,
"None",
"i8037",
686122
],
[
1744336639,
1744336862,
223,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.025933884363621474 --epochs=39 --validation_split=0.9 --width=37 --height=44 --dense=28 --dense_units=38 --conv=2 --conv_filters=27 --data=data_full --activation=tanh ",
37,
44,
28,
38,
39,
2,
27,
0.025933884363621474,
"tanh",
0.2427,
1.7284,
910.06,
221,
0,
"None",
"i8034",
686141
],
[
1744336619,
1744336866,
247,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.03576712068170309 --epochs=2 --validation_split=0.9 --width=80 --height=70 --dense=15 --dense_units=10 --conv=4 --conv_filters=6 --data=data_full --activation=tanh ",
80,
70,
15,
10,
2,
4,
6,
0.03576712068170309,
"tanh",
0.3522,
1.4878,
875.73,
242,
0,
"None",
"i8036",
686127
],
[
1744336619,
1744336866,
247,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.07342469692230225 --epochs=11 --validation_split=0.9 --width=64 --height=61 --dense=17 --dense_units=122 --conv=4 --conv_filters=11 --data=data_full --activation=sigmoid ",
64,
61,
17,
122,
11,
4,
11,
0.07342469692230225,
"sigmoid",
0.2789,
1.6295,
980.28,
245,
0,
"None",
"i8037",
686123
],
[
1744336637,
1744336884,
247,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0747459962964058 --epochs=4 --validation_split=0.9 --width=49 --height=31 --dense=14 --dense_units=19 --conv=1 --conv_filters=23 --data=data_full --activation=swish ",
49,
31,
14,
19,
4,
1,
23,
0.0747459962964058,
"swish",
0.303,
1.5337,
758.29,
241,
0,
"None",
"i8035",
686133
],
[
1744336637,
1744336903,
266,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.052173863258212806 --epochs=18 --validation_split=0.9 --width=69 --height=34 --dense=18 --dense_units=12 --conv=3 --conv_filters=19 --data=data_full --activation=leaky_relu ",
69,
34,
18,
12,
18,
3,
19,
0.052173863258212806,
"leaky_relu",
0.1232,
3.4004,
839.85,
260,
0,
"None",
"i8035",
686139
],
[
1744336659,
1744336906,
247,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0670829851180315 --epochs=38 --validation_split=0.9 --width=76 --height=25 --dense=12 --dense_units=101 --conv=1 --conv_filters=8 --data=data_full --activation=tanh ",
76,
25,
12,
101,
38,
1,
8,
0.0670829851180315,
"tanh",
0.2903,
2.3592,
793.41,
243,
0,
"None",
"i8029",
686147
],
[
1744336637,
1744336958,
321,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.08436448583379388 --epochs=27 --validation_split=0.9 --width=70 --height=59 --dense=9 --dense_units=48 --conv=3 --conv_filters=2 --data=data_full --activation=tanh ",
70,
59,
9,
48,
27,
3,
2,
0.08436448583379388,
"tanh",
0.0985,
1.8332,
785.06,
318,
0,
"None",
"i8035",
686136
],
[
1744336659,
1744336980,
321,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.016706195659935474 --epochs=13 --validation_split=0.9 --width=73 --height=77 --dense=31 --dense_units=25 --conv=4 --conv_filters=14 --data=data_full --activation=leaky_relu ",
73,
77,
31,
25,
13,
4,
14,
0.016706195659935474,
"leaky_relu",
0.2789,
1.5388,
965.95,
317,
0,
"None",
"i8033",
686144
],
[
1744336659,
1744336981,
322,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.039830605033785105 --epochs=6 --validation_split=0.9 --width=54 --height=35 --dense=16 --dense_units=124 --conv=3 --conv_filters=30 --data=data_full --activation=leaky_relu ",
54,
35,
16,
124,
6,
3,
30,
0.039830605033785105,
"leaky_relu",
0.3511,
468589936640,
1022.71,
320,
0,
"None",
"i8034",
686143
],
[
1744336619,
1744337033,
414,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.047139210626482964 --epochs=23 --validation_split=0.9 --width=79 --height=48 --dense=8 --dense_units=61 --conv=4 --conv_filters=31 --data=data_full --activation=gelu ",
79,
48,
8,
61,
23,
4,
31,
0.047139210626482964,
"gelu",
0.2791,
1.5889,
1036.95,
410,
0,
"None",
"i8036",
686130
],
[
1744336619,
1744337267,
648,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.008062214870005847 --epochs=16 --validation_split=0.9 --width=54 --height=50 --dense=32 --dense_units=107 --conv=3 --conv_filters=22 --data=data_full --activation=relu ",
54,
50,
32,
107,
16,
3,
22,
0.008062214870005847,
"relu",
0.303,
1.5244,
1089.67,
642,
0,
"None",
"i8036",
686126
],
[
1744336634,
1744337751,
1117,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.021726746018975975 --epochs=36 --validation_split=0.9 --width=55 --height=71 --dense=23 --dense_units=96 --conv=3 --conv_filters=15 --data=data_full --activation=leaky_relu ",
55,
71,
23,
96,
36,
3,
15,
0.021726746018975975,
"leaky_relu",
0.3147,
138027384832,
1014.66,
1113,
0,
"None",
"i8036",
686132
],
[
1744337798,
1744337884,
86,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.033798312302678823 --epochs=3 --validation_split=0.9 --width=72 --height=42 --dense=30 --dense_units=84 --conv=2 --conv_filters=12 --data=data_full --activation=leaky_relu ",
72,
42,
30,
84,
3,
2,
12,
0.033798312302678823,
"leaky_relu",
0.0985,
"None",
905.98,
83,
0,
"None",
"i8036",
686184
],
[
1744337818,
1744337898,
80,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.04313344303518534 --epochs=23 --validation_split=0.9 --width=26 --height=60 --dense=20 --dense_units=83 --conv=4 --conv_filters=10 --data=data_full --activation=leaky_relu ",
26,
60,
20,
83,
23,
4,
10,
0.04313344303518534,
"leaky_relu",
0.0985,
"None",
815.19,
80,
0,
"None",
"i8035",
686191
],
[
1744337818,
1744337899,
81,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.07548803007230163 --epochs=28 --validation_split=0.9 --width=33 --height=47 --dense=29 --dense_units=66 --conv=3 --conv_filters=23 --data=data_full --activation=leaky_relu ",
33,
47,
29,
66,
28,
3,
23,
0.07548803007230163,
"leaky_relu",
0.0985,
"None",
866.84,
80,
0,
"None",
"i8034",
686198
],
[
1744337808,
1744337901,
93,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.09758637491613627 --epochs=8 --validation_split=0.9 --width=77 --height=54 --dense=19 --dense_units=65 --conv=1 --conv_filters=21 --data=data_full --activation=leaky_relu ",
77,
54,
19,
65,
8,
1,
21,
0.09758637491613627,
"leaky_relu",
0.0985,
"None",
910.01,
87,
0,
"None",
"i8035",
686189
],
[
1744337808,
1744337950,
142,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.044173304457217455 --epochs=35 --validation_split=0.9 --width=25 --height=48 --dense=10 --dense_units=14 --conv=3 --conv_filters=13 --data=data_full --activation=sigmoid ",
25,
48,
10,
14,
35,
3,
13,
0.044173304457217455,
"sigmoid",
0.2789,
1.5432,
762.67,
142,
0,
"None",
"i8035",
686190
],
[
1744337818,
1744337966,
148,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0662586247548461 --epochs=4 --validation_split=0.9 --width=57 --height=80 --dense=26 --dense_units=125 --conv=1 --conv_filters=2 --data=data_full --activation=swish ",
57,
80,
26,
125,
4,
1,
2,
0.0662586247548461,
"swish",
0.2789,
1.5325,
857.77,
143,
0,
"None",
"i8035",
686193
],
[
1744337833,
1744337969,
136,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.010768498294055462 --epochs=25 --validation_split=0.9 --width=66 --height=26 --dense=31 --dense_units=41 --conv=1 --conv_filters=30 --data=data_full --activation=relu ",
66,
26,
31,
41,
25,
1,
30,
0.010768498294055462,
"relu",
0.2789,
1.5286,
863.48,
134,
0,
"None",
"i8033",
686200
],
[
1744337798,
1744337971,
173,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.05681553883478046 --epochs=24 --validation_split=0.9 --width=41 --height=21 --dense=24 --dense_units=126 --conv=3 --conv_filters=4 --data=data_full --activation=gelu ",
41,
21,
24,
126,
24,
3,
4,
0.05681553883478046,
"gelu",
0.303,
1.5273,
809,
171,
0,
"None",
"i8036",
686186
],
[
1744337798,
1744337977,
179,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.054749895446002485 --epochs=10 --validation_split=0.9 --width=30 --height=32 --dense=32 --dense_units=59 --conv=4 --conv_filters=1 --data=data_full --activation=tanh ",
30,
32,
32,
59,
10,
4,
1,
0.054749895446002485,
"tanh",
0.2982,
2.0047,
804.02,
176,
0,
"None",
"i8036",
686182
],
[
1744337818,
1744337991,
173,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.09010725440457464 --epochs=20 --validation_split=0.9 --width=78 --height=39 --dense=9 --dense_units=32 --conv=2 --conv_filters=18 --data=data_full --activation=sigmoid ",
78,
39,
9,
32,
20,
2,
18,
0.09010725440457464,
"sigmoid",
0.303,
1.5296,
828.44,
168,
0,
"None",
"i8035",
686192
],
[
1744337798,
1744337995,
197,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.029633011110126974 --epochs=26 --validation_split=0.9 --width=60 --height=45 --dense=22 --dense_units=21 --conv=1 --conv_filters=9 --data=data_full --activation=swish ",
60,
45,
22,
21,
26,
1,
9,
0.029633011110126974,
"swish",
0.2789,
1.53,
815.11,
196,
0,
"None",
"i8037",
686180
],
[
1744337818,
1744338003,
185,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.05548728667199612 --epochs=31 --validation_split=0.9 --width=41 --height=72 --dense=14 --dense_units=35 --conv=4 --conv_filters=7 --data=data_full --activation=swish ",
41,
72,
14,
35,
31,
4,
7,
0.05548728667199612,
"swish",
0.303,
1.5396,
829.21,
179,
0,
"None",
"i8035",
686195
],
[
1744337798,
1744338020,
222,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.04230832532048226 --epochs=19 --validation_split=0.9 --width=46 --height=38 --dense=2 --dense_units=75 --conv=4 --conv_filters=16 --data=data_full --activation=relu ",
46,
38,
2,
75,
19,
4,
16,
0.04230832532048226,
"relu",
0.2789,
1.5368,
805.34,
221,
0,
"None",
"i8037",
686178
],
[
1744337818,
1744338022,
204,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.013025085721164942 --epochs=36 --validation_split=0.9 --width=48 --height=22 --dense=3 --dense_units=50 --conv=3 --conv_filters=26 --data=data_full --activation=relu ",
48,
22,
3,
50,
36,
3,
26,
0.013025085721164942,
"relu",
0.6108,
2.3921,
792.52,
203,
0,
"None",
"i8035",
686194
],
[
1744337834,
1744338025,
191,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.033060920704156165 --epochs=39 --validation_split=0.9 --width=60 --height=63 --dense=16 --dense_units=76 --conv=2 --conv_filters=14 --data=data_full --activation=sigmoid ",
60,
63,
16,
76,
39,
2,
14,
0.033060920704156165,
"sigmoid",
0.303,
1.5427,
882.16,
190,
0,
"None",
"i8029",
686201
],
[
1744337818,
1744338078,
260,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.02889487445354462 --epochs=15 --validation_split=0.9 --width=72 --height=51 --dense=8 --dense_units=13 --conv=1 --conv_filters=15 --data=data_full --activation=tanh ",
72,
51,
8,
13,
15,
1,
15,
0.02889487445354462,
"tanh",
0.365,
1.4578,
768.34,
257,
0,
"None",
"i8034",
686197
],
[
1744337798,
1744338101,
303,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.01004333458840847 --epochs=16 --validation_split=0.9 --width=61 --height=77 --dense=13 --dense_units=49 --conv=1 --conv_filters=28 --data=data_full --activation=swish ",
61,
77,
13,
49,
16,
1,
28,
0.01004333458840847,
"swish",
0.4335,
1.3647,
1017.42,
300,
0,
"None",
"i8036",
686185
],
[
1744337808,
1744338110,
302,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.07143824556842447 --epochs=11 --validation_split=0.9 --width=57 --height=28 --dense=4 --dense_units=36 --conv=2 --conv_filters=5 --data=data_full --activation=leaky_relu ",
57,
28,
4,
36,
11,
2,
5,
0.07143824556842447,
"leaky_relu",
0.2789,
1312.5044,
708.39,
298,
0,
"None",
"i8035",
686188
],
[
1744337818,
1744338165,
347,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0026542405597865582 --epochs=9 --validation_split=0.9 --width=62 --height=30 --dense=23 --dense_units=112 --conv=2 --conv_filters=31 --data=data_full --activation=relu ",
62,
30,
23,
112,
9,
2,
31,
0.0026542405597865582,
"relu",
0.2789,
1.5326,
1048.38,
344,
0,
"None",
"i8034",
686196
],
[
1744337798,
1744338169,
371,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.024277654848992827 --epochs=29 --validation_split=0.9 --width=47 --height=71 --dense=25 --dense_units=111 --conv=4 --conv_filters=29 --data=data_full --activation=tanh ",
47,
71,
25,
111,
29,
4,
29,
0.024277654848992827,
"tanh",
0.357,
1.6714,
1109.15,
370,
0,
"None",
"i8036",
686187
],
[
1744337798,
1744338181,
383,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.08681841790676117 --epochs=40 --validation_split=0.9 --width=32 --height=60 --dense=7 --dense_units=31 --conv=4 --conv_filters=20 --data=data_full --activation=tanh ",
32,
60,
7,
31,
40,
4,
20,
0.08681841790676117,
"tanh",
0.3024,
1.7538,
836.38,
382,
0,
"None",
"i8036",
686183
],
[
1744337833,
1744338190,
357,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.05755367511883378 --epochs=18 --validation_split=0.9 --width=30 --height=76 --dense=6 --dense_units=102 --conv=3 --conv_filters=6 --data=data_full --activation=gelu ",
30,
76,
6,
102,
18,
3,
6,
0.05755367511883378,
"gelu",
0.303,
1.5262,
820.36,
353,
0,
"None",
"i8033",
686199
],
[
1744337798,
1744338230,
432,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0762131934054196 --epochs=14 --validation_split=0.9 --width=36 --height=57 --dense=15 --dense_units=90 --conv=3 --conv_filters=17 --data=data_full --activation=sigmoid ",
36,
57,
15,
90,
14,
3,
17,
0.0762131934054196,
"sigmoid",
0.303,
1.585,
871.55,
428,
0,
"None",
"i8037",
686179
],
[
1744337798,
1744338231,
433,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0019282960332930089 --epochs=33 --validation_split=0.9 --width=67 --height=66 --dense=5 --dense_units=120 --conv=2 --conv_filters=25 --data=data_full --activation=leaky_relu ",
67,
66,
5,
120,
33,
2,
25,
0.0019282960332930089,
"leaky_relu",
0.5519,
4.7119,
1098.14,
429,
0,
"None",
"i8036",
686181
],
[
1744337803,
1744338316,
513,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.08927069595083595 --epochs=21 --validation_split=0.9 --width=52 --height=64 --dense=27 --dense_units=8 --conv=2 --conv_filters=24 --data=data_full --activation=sigmoid ",
52,
64,
27,
8,
21,
2,
24,
0.08927069595083595,
"sigmoid",
0.303,
1.5387,
905.33,
508,
0,
"None",
"i8037",
686177
],
[
1744340963,
1744341031,
68,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=1 --validation_split=0.9 --width=37 --height=65 --dense=1 --dense_units=65 --conv=1 --conv_filters=1 --data=data_full --activation=gelu ",
37,
65,
1,
65,
1,
1,
1,
0,
"gelu",
0.2378,
1.8765,
661.45,
62,
0,
"None",
"i8036",
686286
],
[
1744340983,
1744341045,
62,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.025910456544662494 --epochs=1 --validation_split=0.9 --width=20 --height=20 --dense=1 --dense_units=95 --conv=3 --conv_filters=9 --data=data_full --activation=sigmoid ",
20,
20,
1,
95,
1,
3,
9,
0.025910456544662494,
"sigmoid",
0.356,
2.0317,
669.91,
61,
0,
"None",
"i8032",
686297
],
[
1744340953,
1744341071,
118,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=26 --validation_split=0.9 --width=20 --height=65 --dense=1 --dense_units=47 --conv=1 --conv_filters=5 --data=data_full --activation=relu ",
20,
65,
1,
47,
26,
1,
5,
0,
"relu",
0.2365,
2.2022,
658.88,
114,
0,
"None",
"i8037",
686281
],
[
1744340963,
1744341080,
117,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=4 --validation_split=0.9 --width=34 --height=21 --dense=3 --dense_units=23 --conv=3 --conv_filters=12 --data=data_full --activation=tanh ",
34,
21,
3,
23,
4,
3,
12,
0,
"tanh",
0.1521,
1.8112,
702.78,
111,
0,
"None",
"i8036",
686287
],
[
1744340963,
1744341081,
118,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=11 --validation_split=0.9 --width=20 --height=66 --dense=1 --dense_units=68 --conv=1 --conv_filters=2 --data=data_full --activation=gelu ",
20,
66,
1,
68,
11,
1,
2,
0,
"gelu",
0.1759,
2.011,
660.64,
114,
0,
"None",
"i8034",
686288
],
[
1744340953,
1744341083,
130,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=3 --validation_split=0.9 --width=53 --height=55 --dense=6 --dense_units=75 --conv=1 --conv_filters=1 --data=data_full --activation=sigmoid ",
53,
55,
6,
75,
3,
1,
1,
0,
"sigmoid",
0.0985,
2.0014,
696.97,
124,
0,
"None",
"i8037",
686282
],
[
1744340944,
1744341086,
142,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.014134787988107859 --epochs=27 --validation_split=0.9 --width=54 --height=64 --dense=10 --dense_units=66 --conv=1 --conv_filters=1 --data=data_full --activation=leaky_relu ",
54,
64,
10,
66,
27,
1,
1,
0.014134787988107859,
"leaky_relu",
0.2793,
49438.1016,
736.59,
139,
0,
"None",
"i8037",
686278
],
[
1744340963,
1744341092,
129,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0646501714598352 --epochs=15 --validation_split=0.9 --width=55 --height=32 --dense=13 --dense_units=14 --conv=1 --conv_filters=26 --data=data_full --activation=leaky_relu ",
55,
32,
13,
14,
15,
1,
26,
0.0646501714598352,
"leaky_relu",
0.2892,
175.3478,
748.03,
127,
0,
"None",
"i8036",
686284
],
[
1744340963,
1744341092,
129,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=36 --validation_split=0.9 --width=80 --height=50 --dense=2 --dense_units=70 --conv=1 --conv_filters=1 --data=data_full --activation=gelu ",
80,
50,
2,
70,
36,
1,
1,
0,
"gelu",
0.2124,
1.8061,
709.75,
129,
0,
"None",
"i8036",
686285
],
[
1744340954,
1744341096,
142,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=31 --validation_split=0.9 --width=53 --height=31 --dense=1 --dense_units=106 --conv=1 --conv_filters=18 --data=data_full --activation=leaky_relu ",
53,
31,
1,
106,
31,
1,
18,
0,
"leaky_relu",
0.1751,
2.0136,
760.71,
140,
0,
"None",
"i8037",
686280
],
[
1744340954,
1744341102,
148,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.05908652351642892 --epochs=37 --validation_split=0.9 --width=55 --height=71 --dense=18 --dense_units=14 --conv=1 --conv_filters=6 --data=data_full --activation=leaky_relu ",
55,
71,
18,
14,
37,
1,
6,
0.05908652351642892,
"leaky_relu",
0.2789,
107100766208,
775.44,
146,
0,
"None",
"i8037",
686279
],
[
1744340983,
1744341113,
130,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=37 --validation_split=0.9 --width=44 --height=59 --dense=1 --dense_units=63 --conv=1 --conv_filters=7 --data=data_full --activation=sigmoid ",
44,
59,
1,
63,
37,
1,
7,
0,
"sigmoid",
0.1361,
1.859,
729.69,
127,
0,
"None",
"i8032",
686295
],
[
1744340983,
1744341113,
130,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=3 --validation_split=0.9 --width=44 --height=68 --dense=1 --dense_units=78 --conv=1 --conv_filters=1 --data=data_full --activation=gelu ",
44,
68,
1,
78,
3,
1,
1,
0,
"gelu",
0.1614,
2.3894,
696,
126,
0,
"None",
"i8032",
686294
],
[
1744340983,
1744341125,
142,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=9 --validation_split=0.9 --width=80 --height=72 --dense=1 --dense_units=85 --conv=1 --conv_filters=1 --data=data_full --activation=relu ",
80,
72,
1,
85,
9,
1,
1,
0,
"relu",
0.1698,
2.1086,
739.38,
137,
0,
"None",
"i8033",
686292
],
[
1744341003,
1744341126,
123,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=5 --validation_split=0.9 --width=54 --height=31 --dense=11 --dense_units=102 --conv=1 --conv_filters=8 --data=data_full --activation=leaky_relu ",
54,
31,
11,
102,
5,
1,
8,
0,
"leaky_relu",
0.1965,
1.6342,
782.01,
123,
0,
"None",
"i8029",
686302
],
[
1744341003,
1744341139,
136,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=24 --validation_split=0.9 --width=20 --height=66 --dense=10 --dense_units=93 --conv=1 --conv_filters=20 --data=data_full --activation=relu ",
20,
66,
10,
93,
24,
1,
20,
0,
"relu",
0.1021,
1.8696,
798.72,
129,
0,
"None",
"i8029",
686301
],
[
1744340983,
1744341156,
173,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=5 --validation_split=0.9 --width=35 --height=54 --dense=1 --dense_units=69 --conv=1 --conv_filters=3 --data=data_full --activation=sigmoid ",
35,
54,
1,
69,
5,
1,
3,
0,
"sigmoid",
0.2789,
2.0048,
679.56,
169,
0,
"None",
"i8034",
686290
],
[
1744340983,
1744341156,
173,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.007229049290819483 --epochs=39 --validation_split=0.9 --width=21 --height=21 --dense=4 --dense_units=85 --conv=3 --conv_filters=14 --data=data_full --activation=swish ",
21,
21,
4,
85,
39,
3,
14,
0.007229049290819483,
"swish",
0.6676,
1.216,
713.32,
168,
0,
"None",
"i8029",
686298
],
[
1744340983,
1744341157,
174,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=40 --validation_split=0.9 --width=20 --height=61 --dense=1 --dense_units=70 --conv=1 --conv_filters=16 --data=data_full --activation=sigmoid ",
20,
61,
1,
70,
40,
1,
16,
0,
"sigmoid",
0.1638,
1.7641,
724.02,
169,
0,
"None",
"i8032",
686296
],
[
1744340983,
1744341162,
179,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0029938429203526648 --epochs=24 --validation_split=0.9 --width=50 --height=42 --dense=1 --dense_units=66 --conv=1 --conv_filters=9 --data=data_full --activation=leaky_relu ",
50,
42,
1,
66,
24,
1,
9,
0.0029938429203526648,
"leaky_relu",
0.7548,
1.8478,
765.72,
178,
0,
"None",
"i8034",
686289
],
[
1744340954,
1744341163,
209,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.007317698416411803 --epochs=31 --validation_split=0.9 --width=54 --height=51 --dense=2 --dense_units=57 --conv=1 --conv_filters=15 --data=data_full --activation=leaky_relu ",
54,
51,
2,
57,
31,
1,
15,
0.007317698416411803,
"leaky_relu",
0.679,
2.0655,
754.82,
209,
0,
"None",
"i8036",
686283
],
[
1744340983,
1744341168,
185,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0036899276365386234 --epochs=15 --validation_split=0.9 --width=71 --height=20 --dense=1 --dense_units=80 --conv=3 --conv_filters=1 --data=data_full --activation=sigmoid ",
71,
20,
1,
80,
15,
3,
1,
0.0036899276365386234,
"sigmoid",
0.6645,
1.132,
692.04,
181,
0,
"None",
"i8033",
686291
],
[
1744341003,
1744341181,
178,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0551104397026357 --epochs=34 --validation_split=0.9 --width=60 --height=34 --dense=1 --dense_units=4 --conv=1 --conv_filters=9 --data=data_full --activation=leaky_relu ",
60,
34,
1,
4,
34,
1,
9,
0.0551104397026357,
"leaky_relu",
0.4739,
2.0458,
678.55,
173,
0,
"None",
"i8029",
686300
],
[
1744340983,
1744341186,
203,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0 --epochs=19 --validation_split=0.9 --width=69 --height=20 --dense=2 --dense_units=25 --conv=3 --conv_filters=14 --data=data_full --activation=sigmoid ",
69,
20,
2,
25,
19,
3,
14,
0,
"sigmoid",
0.0985,
1.9138,
726.3,
199,
0,
"None",
"i8033",
686293
],
[
1744340984,
1744341230,
246,
"bash \/home\/s3811141\/test\/randomtest_13424\/omniopt\/.tests\/example_network\/run.sh --learning_rate=0.0005557458202912064 --epochs=38 --validation_split=0.9 --width=20 --height=23 --dense=4 --dense_units=37 --conv=3 --conv_filters=13 --data=data_full --activation=gelu ",
20,
23,
4,
37,
38,
3,
13,
0.0005557458202912064,
"gelu",
0.7207,
1.1165,
715.33,
242,
0,
"None",
"i8029",
686299
]
];
var tab_worker_usage_csv_json = [
[
1744336055.0075529,
25,
0,
0
],
[
1744336058.4122694,
25,
0,
0
],
[
1744336058.6632543,
25,
0,
0
],
[
1744336058.819029,
25,
0,
0
],
[
1744336058.9834225,
25,
0,
0
],
[
1744336059.1459165,
25,
0,
0
],
[
1744336059.30904,
25,
0,
0
],
[
1744336059.4569602,
25,
0,
0
],
[
1744336059.5973814,
25,
0,
0
],
[
1744336059.7573555,
25,
0,
0
],
[
1744336059.9225352,
25,
0,
0
],
[
1744336060.0805752,
25,
0,
0
],
[
1744336060.2329886,
25,
0,
0
],
[
1744336060.4015324,
25,
0,
0
],
[
1744336060.5558898,
25,
0,
0
],
[
1744336060.7255433,
25,
0,
0
],
[
1744336060.88182,
25,
0,
0
],
[
1744336061.0540698,
25,
0,
0
],
[
1744336061.2147503,
25,
0,
0
],
[
1744336061.3825357,
25,
0,
0
],
[
1744336061.546269,
25,
0,
0
],
[
1744336061.7115011,
25,
0,
0
],
[
1744336061.883069,
25,
0,
0
],
[
1744336062.0786705,
25,
0,
0
],
[
1744336062.2657895,
25,
0,
0
],
[
1744336062.4500425,
25,
0,
0
],
[
1744336062.638002,
25,
0,
0
],
[
1744336062.7787468,
25,
0,
0
],
[
1744336064.1766162,
25,
1,
4
],
[
1744336064.1907516,
25,
1,
4
],
[
1744336064.341339,
25,
1,
4
],
[
1744336065.9853005,
25,
2,
8
],
[
1744336065.998404,
25,
2,
8
],
[
1744336066.1248217,
25,
2,
8
],
[
1744336067.459437,
25,
3,
12
],
[
1744336067.4745128,
25,
3,
12
],
[
1744336067.617586,
25,
3,
12
],
[
1744336068.9854667,
25,
4,
16
],
[
1744336068.9998732,
25,
4,
16
],
[
1744336069.1409678,
25,
4,
16
],
[
1744336070.4636698,
25,
5,
20
],
[
1744336070.4748611,
25,
5,
20
],
[
1744336070.6082745,
25,
5,
20
],
[
1744336071.9316282,
25,
6,
24
],
[
1744336071.9444487,
25,
6,
24
],
[
1744336072.0667193,
25,
6,
24
],
[
1744336073.3654654,
25,
7,
28
],
[
1744336073.3809562,
25,
7,
28
],
[
1744336073.5085962,
25,
7,
28
],
[
1744336074.926449,
25,
8,
32
],
[
1744336074.9483106,
25,
8,
32
],
[
1744336075.1120205,
25,
8,
32
],
[
1744336076.4541633,
25,
9,
36
],
[
1744336076.4705276,
25,
9,
36
],
[
1744336076.6225142,
25,
9,
36
],
[
1744336077.9700897,
25,
10,
40
],
[
1744336078.0052729,
25,
10,
40
],
[
1744336078.1628041,
25,
10,
40
],
[
1744336080.8303828,
25,
11,
44
],
[
1744336080.8447049,
25,
11,
44
],
[
1744336080.9713945,
25,
11,
44
],
[
1744336082.2749496,
25,
12,
48
],
[
1744336082.2892048,
25,
12,
48
],
[
1744336082.4181023,
25,
12,
48
],
[
1744336083.9098861,
25,
13,
52
],
[
1744336083.9247599,
25,
13,
52
],
[
1744336084.0747209,
25,
13,
52
],
[
1744336085.3619914,
25,
14,
56
],
[
1744336085.3763852,
25,
14,
56
],
[
1744336085.5061889,
25,
14,
56
],
[
1744336086.9164329,
25,
15,
60
],
[
1744336086.9309945,
25,
15,
60
],
[
1744336087.0801837,
25,
15,
60
],
[
1744336088.3619845,
25,
16,
64
],
[
1744336088.3768067,
25,
16,
64
],
[
1744336088.503401,
25,
16,
64
],
[
1744336089.9448946,
25,
17,
68
],
[
1744336089.966489,
25,
17,
68
],
[
1744336090.099532,
25,
17,
68
],
[
1744336091.4111805,
25,
18,
72
],
[
1744336091.4264379,
25,
18,
72
],
[
1744336091.5764058,
25,
18,
72
],
[
1744336092.9512982,
25,
19,
76
],
[
1744336092.9755507,
25,
19,
76
],
[
1744336093.1384969,
25,
19,
76
],
[
1744336094.4729793,
25,
20,
80
],
[
1744336094.4917746,
25,
20,
80
],
[
1744336094.6388674,
25,
20,
80
],
[
1744336095.9350533,
25,
21,
84
],
[
1744336095.9498081,
25,
21,
84
],
[
1744336096.102254,
25,
21,
84
],
[
1744336097.462053,
25,
22,
88
],
[
1744336097.476285,
25,
22,
88
],
[
1744336097.6361275,
25,
22,
88
],
[
1744336098.9688253,
25,
23,
92
],
[
1744336098.9833481,
25,
23,
92
],
[
1744336099.1269226,
25,
23,
92
],
[
1744336100.4220107,
25,
24,
96
],
[
1744336100.444201,
25,
24,
96
],
[
1744336100.6527936,
25,
24,
96
],
[
1744336101.972143,
25,
25,
100
],
[
1744336115.734882,
25,
25,
100
],
[
1744336122.836357,
25,
25,
100
],
[
1744336133.8567462,
25,
25,
100
],
[
1744336144.7481837,
25,
25,
100
],
[
1744336155.0664723,
25,
25,
100
],
[
1744336165.8280327,
25,
25,
100
],
[
1744336176.475585,
25,
25,
100
],
[
1744336187.4688451,
25,
25,
100
],
[
1744336198.005147,
25,
25,
100
],
[
1744336208.3819838,
25,
25,
100
],
[
1744336218.8405185,
25,
25,
100
],
[
1744336229.5303087,
25,
25,
100
],
[
1744336240.2147493,
25,
25,
100
],
[
1744336248.271536,
25,
25,
100
],
[
1744336256.7616122,
25,
24,
96
],
[
1744336266.2414296,
25,
23,
92
],
[
1744336274.7128873,
25,
22,
88
],
[
1744336282.8091571,
25,
21,
84
],
[
1744336291.5315022,
25,
20,
80
],
[
1744336298.7228978,
25,
19,
76
],
[
1744336298.8702369,
25,
19,
76
],
[
1744336305.5974698,
25,
19,
76
],
[
1744336314.3053188,
25,
18,
72
],
[
1744336322.0543303,
25,
17,
68
],
[
1744336330.2965431,
25,
16,
64
],
[
1744336338.8302832,
25,
15,
60
],
[
1744336347.2034154,
25,
14,
56
],
[
1744336356.2656462,
25,
13,
52
],
[
1744336356.4012575,
25,
13,
52
],
[
1744336362.0161948,
25,
13,
52
],
[
1744336370.4849286,
25,
12,
48
],
[
1744336378.8043141,
25,
11,
44
],
[
1744336387.1824865,
25,
10,
40
],
[
1744336395.8151042,
25,
9,
36
],
[
1744336404.5119371,
25,
8,
32
],
[
1744336413.1784039,
25,
7,
28
],
[
1744336413.310797,
25,
7,
28
],
[
1744336419.605301,
25,
7,
28
],
[
1744336427.7554076,
25,
6,
24
],
[
1744336427.8887677,
25,
6,
24
],
[
1744336434.9319775,
25,
6,
24
],
[
1744336440.4476252,
25,
6,
24
],
[
1744336449.5368426,
25,
5,
20
],
[
1744336457.8999538,
25,
4,
16
],
[
1744336458.034102,
25,
4,
16
],
[
1744336464.503233,
25,
4,
16
],
[
1744336470.835436,
25,
4,
16
],
[
1744336477.1560657,
25,
4,
16
],
[
1744336483.524403,
25,
4,
16
],
[
1744336489.9504473,
25,
4,
16
],
[
1744336496.2380483,
25,
4,
16
],
[
1744336501.6836355,
25,
4,
16
],
[
1744336508.757901,
25,
3,
12
],
[
1744336515.2595243,
25,
2,
8
],
[
1744336515.3710546,
25,
2,
8
],
[
1744336521.282743,
25,
2,
8
],
[
1744336527.0838814,
25,
2,
8
],
[
1744336532.868583,
25,
2,
8
],
[
1744336538.6755638,
25,
2,
8
],
[
1744336544.5109246,
25,
2,
8
],
[
1744336550.4360857,
25,
2,
8
],
[
1744336555.8650978,
25,
2,
8
],
[
1744336564.001447,
25,
1,
4
],
[
1744336564.1056252,
25,
1,
4
],
[
1744336569.7049387,
25,
1,
4
],
[
1744336575.3357506,
25,
1,
4
],
[
1744336580.9452372,
25,
1,
4
],
[
1744336586.3943639,
25,
1,
4
],
[
1744336593.38979,
25,
0,
0
],
[
1744336594.092922,
25,
0,
0
],
[
1744336594.3133729,
25,
0,
0
],
[
1744336594.5167918,
25,
0,
0
],
[
1744336594.733079,
25,
0,
0
],
[
1744336594.9514863,
25,
0,
0
],
[
1744336595.170516,
25,
0,
0
],
[
1744336595.3895793,
25,
0,
0
],
[
1744336595.603259,
25,
0,
0
],
[
1744336595.829365,
25,
0,
0
],
[
1744336596.0549817,
25,
0,
0
],
[
1744336596.3088443,
25,
0,
0
],
[
1744336596.5401862,
25,
0,
0
],
[
1744336596.7720468,
25,
0,
0
],
[
1744336597.0019739,
25,
0,
0
],
[
1744336597.2412622,
25,
0,
0
],
[
1744336597.4790704,
25,
0,
0
],
[
1744336597.718396,
25,
0,
0
],
[
1744336597.9838357,
25,
0,
0
],
[
1744336598.2208178,
25,
0,
0
],
[
1744336598.4857326,
25,
0,
0
],
[
1744336598.7319148,
25,
0,
0
],
[
1744336598.99221,
25,
0,
0
],
[
1744336599.2355914,
25,
0,
0
],
[
1744336599.47862,
25,
0,
0
],
[
1744336599.7390983,
25,
0,
0
],
[
1744336600.0171022,
25,
0,
0
],
[
1744336600.1878076,
25,
0,
0
],
[
1744336601.519879,
25,
1,
4
],
[
1744336601.591767,
25,
1,
4
],
[
1744336601.7646697,
25,
1,
4
],
[
1744336603.1153758,
25,
2,
8
],
[
1744336603.1887012,
25,
2,
8
],
[
1744336603.3720949,
25,
2,
8
],
[
1744336605.0180333,
25,
3,
12
],
[
1744336605.0955894,
25,
3,
12
],
[
1744336605.2742388,
25,
3,
12
],
[
1744336606.9481835,
25,
4,
16
],
[
1744336607.0230927,
25,
4,
16
],
[
1744336607.2017574,
25,
4,
16
],
[
1744336608.5879712,
25,
5,
20
],
[
1744336608.6631982,
25,
5,
20
],
[
1744336608.844648,
25,
5,
20
],
[
1744336610.1714413,
25,
6,
24
],
[
1744336610.24569,
25,
6,
24
],
[
1744336610.4297478,
25,
6,
24
],
[
1744336611.9626057,
25,
7,
28
],
[
1744336612.0337498,
25,
7,
28
],
[
1744336612.2211246,
25,
7,
28
],
[
1744336613.9563093,
25,
8,
32
],
[
1744336614.0309286,
25,
8,
32
],
[
1744336614.2125394,
25,
8,
32
],
[
1744336615.5981035,
25,
9,
36
],
[
1744336615.6681185,
25,
9,
36
],
[
1744336615.8593035,
25,
9,
36
],
[
1744336617.2130854,
25,
10,
40
],
[
1744336617.2801082,
25,
10,
40
],
[
1744336617.4684951,
25,
10,
40
],
[
1744336618.9800775,
25,
11,
44
],
[
1744336619.0530381,
25,
11,
44
],
[
1744336619.2264102,
25,
11,
44
],
[
1744336620.8559227,
25,
12,
48
],
[
1744336620.9312034,
25,
12,
48
],
[
1744336621.1100821,
25,
12,
48
],
[
1744336622.4470625,
25,
13,
52
],
[
1744336622.5027544,
25,
13,
52
],
[
1744336622.699501,
25,
13,
52
],
[
1744336624.0613632,
25,
14,
56
],
[
1744336624.1376696,
25,
14,
56
],
[
1744336624.3202894,
25,
14,
56
],
[
1744336625.999242,
25,
15,
60
],
[
1744336626.1372793,
25,
15,
60
],
[
1744336626.3518522,
25,
15,
60
],
[
1744336628.0008733,
25,
16,
64
],
[
1744336628.0764656,
25,
16,
64
],
[
1744336628.3359547,
25,
16,
64
],
[
1744336630.0298314,
25,
17,
68
],
[
1744336630.1030715,
25,
17,
68
],
[
1744336630.3133278,
25,
17,
68
],
[
1744336632.036854,
25,
18,
72
],
[
1744336632.1124418,
25,
18,
72
],
[
1744336632.3352387,
25,
18,
72
],
[
1744336634.0948281,
25,
19,
76
],
[
1744336634.2189782,
25,
19,
76
],
[
1744336634.5197804,
25,
19,
76
],
[
1744336636.184079,
25,
20,
80
],
[
1744336636.2835922,
25,
20,
80
],
[
1744336636.6526718,
25,
20,
80
],
[
1744336638.1615887,
25,
21,
84
],
[
1744336638.2654402,
25,
21,
84
],
[
1744336638.6093187,
25,
21,
84
],
[
1744336640.1677535,
25,
22,
88
],
[
1744336640.2824943,
25,
22,
88
],
[
1744336640.6597493,
25,
22,
88
],
[
1744336642.2031214,
25,
23,
92
],
[
1744336642.3059645,
25,
23,
92
],
[
1744336642.6208997,
25,
23,
92
],
[
1744336644.078911,
25,
24,
96
],
[
1744336644.1660388,
25,
24,
96
],
[
1744336644.4643922,
25,
24,
96
],
[
1744336647.1019397,
25,
25,
100
],
[
1744336673.629847,
25,
25,
100
],
[
1744336688.6853359,
25,
25,
100
],
[
1744336707.8687801,
25,
25,
100
],
[
1744336726.5400174,
25,
25,
100
],
[
1744336738.189135,
25,
25,
100
],
[
1744336753.471479,
25,
24,
96
],
[
1744336768.0780466,
25,
23,
92
],
[
1744336768.2205002,
25,
23,
92
],
[
1744336775.1782258,
25,
23,
92
],
[
1744336784.9156725,
25,
22,
88
],
[
1744336796.4419227,
25,
21,
84
],
[
1744336806.0182636,
25,
20,
80
],
[
1744336817.6162488,
25,
19,
76
],
[
1744336829.8977244,
25,
18,
72
],
[
1744336841.048031,
25,
17,
68
],
[
1744336852.08834,
25,
16,
64
],
[
1744336863.839903,
25,
15,
60
],
[
1744336863.9786339,
25,
15,
60
],
[
1744336869.6236134,
25,
15,
60
],
[
1744336881.1188166,
25,
14,
56
],
[
1744336896.3763597,
25,
13,
52
],
[
1744336907.320828,
25,
12,
48
],
[
1744336922.5675428,
25,
11,
44
],
[
1744336932.208654,
25,
10,
40
],
[
1744336942.9147875,
25,
9,
36
],
[
1744336952.5520809,
25,
8,
32
],
[
1744336965.7887847,
25,
7,
28
],
[
1744336977.7105002,
25,
6,
24
],
[
1744336977.8673823,
25,
6,
24
],
[
1744336985.093464,
25,
6,
24
],
[
1744336994.7257981,
25,
5,
20
],
[
1744337004.4736063,
25,
4,
16
],
[
1744337014.3602905,
25,
3,
12
],
[
1744337014.4658303,
25,
3,
12
],
[
1744337021.8536956,
25,
3,
12
],
[
1744337029.2993011,
25,
3,
12
],
[
1744337035.3478408,
25,
3,
12
],
[
1744337045.8018324,
25,
2,
8
],
[
1744337045.9515228,
25,
2,
8
],
[
1744337052.801949,
25,
2,
8
],
[
1744337059.8492079,
25,
2,
8
],
[
1744337066.7665498,
25,
2,
8
],
[
1744337073.7714481,
25,
2,
8
],
[
1744337080.767247,
25,
2,
8
],
[
1744337087.645543,
25,
2,
8
],
[
1744337094.363587,
25,
2,
8
],
[
1744337101.2419684,
25,
2,
8
],
[
1744337108.0277529,
25,
2,
8
],
[
1744337114.9449394,
25,
2,
8
],
[
1744337121.784378,
25,
2,
8
],
[
1744337128.5671458,
25,
2,
8
],
[
1744337135.4351115,
25,
2,
8
],
[
1744337142.2873647,
25,
2,
8
],
[
1744337149.083092,
25,
2,
8
],
[
1744337155.9921222,
25,
2,
8
],
[
1744337163.0154107,
25,
2,
8
],
[
1744337169.9898121,
25,
2,
8
],
[
1744337176.999208,
25,
2,
8
],
[
1744337184.1561067,
25,
2,
8
],
[
1744337190.8632863,
25,
2,
8
],
[
1744337197.6827292,
25,
2,
8
],
[
1744337204.6134627,
25,
2,
8
],
[
1744337211.3113317,
25,
2,
8
],
[
1744337218.1972446,
25,
2,
8
],
[
1744337225.0573852,
25,
2,
8
],
[
1744337231.8812177,
25,
2,
8
],
[
1744337238.75409,
25,
2,
8
],
[
1744337245.5921414,
25,
2,
8
],
[
1744337252.4032793,
25,
2,
8
],
[
1744337259.285272,
25,
2,
8
],
[
1744337266.0699449,
25,
2,
8
],
[
1744337271.5213857,
25,
2,
8
],
[
1744337281.750301,
25,
1,
4
],
[
1744337281.8624866,
25,
1,
4
],
[
1744337288.0197895,
25,
1,
4
],
[
1744337294.1976254,
25,
1,
4
],
[
1744337300.452504,
25,
1,
4
],
[
1744337306.628905,
25,
1,
4
],
[
1744337313.1295338,
25,
1,
4
],
[
1744337319.338245,
25,
1,
4
],
[
1744337325.733645,
25,
1,
4
],
[
1744337331.9082987,
25,
1,
4
],
[
1744337338.0654645,
25,
1,
4
],
[
1744337344.3565125,
25,
1,
4
],
[
1744337350.5433836,
25,
1,
4
],
[
1744337356.8438318,
25,
1,
4
],
[
1744337363.0192955,
25,
1,
4
],
[
1744337369.1937551,
25,
1,
4
],
[
1744337375.526288,
25,
1,
4
],
[
1744337381.6842768,
25,
1,
4
],
[
1744337388.0050638,
25,
1,
4
],
[
1744337394.1752915,
25,
1,
4
],
[
1744337400.3432014,
25,
1,
4
],
[
1744337406.6513586,
25,
1,
4
],
[
1744337412.8081117,
25,
1,
4
],
[
1744337419.1391196,
25,
1,
4
],
[
1744337425.3653383,
25,
1,
4
],
[
1744337431.5204754,
25,
1,
4
],
[
1744337437.8167012,
25,
1,
4
],
[
1744337444.0209332,
25,
1,
4
],
[
1744337450.321685,
25,
1,
4
],
[
1744337456.4891236,
25,
1,
4
],
[
1744337462.6680727,
25,
1,
4
],
[
1744337469.0198917,
25,
1,
4
],
[
1744337475.1931133,
25,
1,
4
],
[
1744337481.4963884,
25,
1,
4
],
[
1744337487.6303022,
25,
1,
4
],
[
1744337493.8010676,
25,
1,
4
],
[
1744337500.133497,
25,
1,
4
],
[
1744337506.3284702,
25,
1,
4
],
[
1744337512.6250722,
25,
1,
4
],
[
1744337518.8141682,
25,
1,
4
],
[
1744337524.9776332,
25,
1,
4
],
[
1744337531.2929797,
25,
1,
4
],
[
1744337537.4694679,
25,
1,
4
],
[
1744337543.807986,
25,
1,
4
],
[
1744337550.012502,
25,
1,
4
],
[
1744337556.322632,
25,
1,
4
],
[
1744337562.5321884,
25,
1,
4
],
[
1744337568.835062,
25,
1,
4
],
[
1744337575.0242898,
25,
1,
4
],
[
1744337581.3677921,
25,
1,
4
],
[
1744337587.5323691,
25,
1,
4
],
[
1744337593.7068703,
25,
1,
4
],
[
1744337599.9700716,
25,
1,
4
],
[
1744337606.1336718,
25,
1,
4
],
[
1744337612.4247563,
25,
1,
4
],
[
1744337618.5980892,
25,
1,
4
],
[
1744337624.9231136,
25,
1,
4
],
[
1744337631.0944724,
25,
1,
4
],
[
1744337637.3990786,
25,
1,
4
],
[
1744337643.6155171,
25,
1,
4
],
[
1744337649.9044971,
25,
1,
4
],
[
1744337656.0279164,
25,
1,
4
],
[
1744337662.2342865,
25,
1,
4
],
[
1744337668.5660915,
25,
1,
4
],
[
1744337674.7746532,
25,
1,
4
],
[
1744337681.0421374,
25,
1,
4
],
[
1744337687.2152693,
25,
1,
4
],
[
1744337693.5889838,
25,
1,
4
],
[
1744337699.7279954,
25,
1,
4
],
[
1744337706.028791,
25,
1,
4
],
[
1744337712.22391,
25,
1,
4
],
[
1744337718.4427779,
25,
1,
4
],
[
1744337724.7173166,
25,
1,
4
],
[
1744337730.898267,
25,
1,
4
],
[
1744337737.186965,
25,
1,
4
],
[
1744337743.357373,
25,
1,
4
],
[
1744337749.647831,
25,
1,
4
],
[
1744337755.0838006,
25,
1,
4
],
[
1744337766.2890801,
25,
0,
0
],
[
1744337767.5714273,
25,
0,
0
],
[
1744337767.8523853,
25,
0,
0
],
[
1744337768.1028082,
25,
0,
0
],
[
1744337768.3498287,
25,
0,
0
],
[
1744337768.6083198,
25,
0,
0
],
[
1744337768.8542597,
25,
0,
0
],
[
1744337769.1204782,
25,
0,
0
],
[
1744337769.3730693,
25,
0,
0
],
[
1744337769.6258545,
25,
0,
0
],
[
1744337769.8893898,
25,
0,
0
],
[
1744337770.1442986,
25,
0,
0
],
[
1744337770.3966186,
25,
0,
0
],
[
1744337770.6913981,
25,
0,
0
],
[
1744337770.9515362,
25,
0,
0
],
[
1744337771.2311003,
25,
0,
0
],
[
1744337771.495387,
25,
0,
0
],
[
1744337771.76527,
25,
0,
0
],
[
1744337772.0756996,
25,
0,
0
],
[
1744337772.3730338,
25,
0,
0
],
[
1744337772.6485853,
25,
0,
0
],
[
1744337772.9180777,
25,
0,
0
],
[
1744337773.1942282,
25,
0,
0
],
[
1744337773.4705145,
25,
0,
0
],
[
1744337773.7423365,
25,
0,
0
],
[
1744337774.0220509,
25,
0,
0
],
[
1744337774.34113,
25,
0,
0
],
[
1744337774.515132,
25,
0,
0
],
[
1744337775.9929729,
25,
1,
4
],
[
1744337776.070933,
25,
1,
4
],
[
1744337776.263124,
25,
1,
4
],
[
1744337777.9844022,
25,
2,
8
],
[
1744337778.0611506,
25,
2,
8
],
[
1744337778.2335055,
25,
2,
8
],
[
1744337779.826907,
25,
3,
12
],
[
1744337779.9061818,
25,
3,
12
],
[
1744337780.0919693,
25,
3,
12
],
[
1744337781.4034603,
25,
4,
16
],
[
1744337781.4753668,
25,
4,
16
],
[
1744337781.6391585,
25,
4,
16
],
[
1744337783.1810014,
25,
5,
20
],
[
1744337783.2595713,
25,
5,
20
],
[
1744337783.4490304,
25,
5,
20
],
[
1744337784.9768133,
25,
6,
24
],
[
1744337785.05574,
25,
6,
24
],
[
1744337785.2367775,
25,
6,
24
],
[
1744337786.8698962,
25,
7,
28
],
[
1744337786.9476645,
25,
7,
28
],
[
1744337787.126267,
25,
7,
28
],
[
1744337788.4480004,
25,
8,
32
],
[
1744337788.5262613,
25,
8,
32
],
[
1744337788.7070434,
25,
8,
32
],
[
1744337790.0400102,
25,
9,
36
],
[
1744337790.1164017,
25,
9,
36
],
[
1744337790.3079133,
25,
9,
36
],
[
1744337791.9598155,
25,
10,
40
],
[
1744337792.0336359,
25,
10,
40
],
[
1744337792.224848,
25,
10,
40
],
[
1744337793.689065,
25,
11,
44
],
[
1744337793.7690616,
25,
11,
44
],
[
1744337793.956123,
25,
11,
44
],
[
1744337795.3151085,
25,
12,
48
],
[
1744337795.3962426,
25,
12,
48
],
[
1744337795.6058953,
25,
12,
48
],
[
1744337796.9910824,
25,
13,
52
],
[
1744337797.0661898,
25,
13,
52
],
[
1744337797.2600827,
25,
13,
52
],
[
1744337798.9518425,
25,
14,
56
],
[
1744337799.0345192,
25,
14,
56
],
[
1744337799.2320557,
25,
14,
56
],
[
1744337800.8840773,
25,
15,
60
],
[
1744337800.967535,
25,
15,
60
],
[
1744337801.1669345,
25,
15,
60
],
[
1744337802.5525165,
25,
16,
64
],
[
1744337802.6353807,
25,
16,
64
],
[
1744337802.866002,
25,
16,
64
],
[
1744337804.230924,
25,
17,
68
],
[
1744337804.3330584,
25,
17,
68
],
[
1744337804.5688865,
25,
17,
68
],
[
1744337806.0385408,
25,
18,
72
],
[
1744337806.1223757,
25,
18,
72
],
[
1744337806.349774,
25,
18,
72
],
[
1744337808.0034447,
25,
19,
76
],
[
1744337808.0887334,
25,
19,
76
],
[
1744337808.343285,
25,
19,
76
],
[
1744337810.0215719,
25,
20,
80
],
[
1744337810.1136892,
25,
20,
80
],
[
1744337810.3574998,
25,
20,
80
],
[
1744337812.0252235,
25,
21,
84
],
[
1744337812.1256256,
25,
21,
84
],
[
1744337812.3583694,
25,
21,
84
],
[
1744337814.0654614,
25,
22,
88
],
[
1744337814.1580896,
25,
22,
88
],
[
1744337814.4806702,
25,
22,
88
],
[
1744337816.1219263,
25,
23,
92
],
[
1744337816.231026,
25,
23,
92
],
[
1744337816.5513928,
25,
23,
92
],
[
1744337818.0673583,
25,
24,
96
],
[
1744337818.1565874,
25,
24,
96
],
[
1744337818.3665187,
25,
24,
96
],
[
1744337820.019825,
25,
25,
100
],
[
1744337855.6479473,
25,
25,
100
],
[
1744337881.7631629,
25,
25,
100
],
[
1744337893.5154152,
25,
25,
100
],
[
1744337910.0599656,
25,
24,
96
],
[
1744337923.7717278,
25,
23,
92
],
[
1744337943.6454875,
25,
22,
88
],
[
1744337959.8358612,
25,
21,
84
],
[
1744337959.94703,
25,
21,
84
],
[
1744337972.8043835,
25,
21,
84
],
[
1744337988.905923,
25,
20,
80
],
[
1744338000.5961597,
25,
19,
76
],
[
1744338012.934479,
25,
18,
72
],
[
1744338025.1448376,
25,
17,
68
],
[
1744338037.012094,
25,
16,
64
],
[
1744338051.4011726,
25,
15,
60
],
[
1744338063.2888794,
25,
14,
56
],
[
1744338075.3405013,
25,
13,
52
],
[
1744338075.4584234,
25,
13,
52
],
[
1744338081.831071,
25,
13,
52
],
[
1744338094.3903947,
25,
12,
48
],
[
1744338107.9041035,
25,
11,
44
],
[
1744338120.578719,
25,
10,
40
],
[
1744338133.221272,
25,
9,
36
],
[
1744338145.7028615,
25,
8,
32
],
[
1744338160.1091828,
25,
7,
28
],
[
1744338160.2209454,
25,
7,
28
],
[
1744338170.3392549,
25,
7,
28
],
[
1744338183.6825252,
25,
6,
24
],
[
1744338183.7916236,
25,
6,
24
],
[
1744338192.0129414,
25,
6,
24
],
[
1744338204.401866,
25,
5,
20
],
[
1744338216.3769972,
25,
4,
16
],
[
1744338228.6547418,
25,
3,
12
],
[
1744338228.7626898,
25,
3,
12
],
[
1744338235.0309956,
25,
3,
12
],
[
1744338247.5013065,
25,
2,
8
],
[
1744338260.3018482,
25,
1,
4
],
[
1744338260.4009652,
25,
1,
4
],
[
1744338267.2924943,
25,
1,
4
],
[
1744338274.32899,
25,
1,
4
],
[
1744338281.3600202,
25,
1,
4
],
[
1744338288.3756373,
25,
1,
4
],
[
1744338295.387964,
25,
1,
4
],
[
1744338302.354669,
25,
1,
4
],
[
1744338309.846502,
25,
1,
4
],
[
1744338316.8980846,
25,
1,
4
],
[
1744338322.344433,
25,
1,
4
],
[
1744338335.5999827,
25,
0,
0
],
[
1744338337.6694758,
25,
0,
0
],
[
1744338473.8212776,
25,
0,
0
],
[
1744338586.5011232,
25,
0,
0
],
[
1744338707.3181605,
25,
0,
0
],
[
1744338827.8493383,
25,
0,
0
],
[
1744338922.4098377,
25,
0,
0
],
[
1744339023.8194044,
25,
0,
0
],
[
1744339111.3317966,
25,
0,
0
],
[
1744339208.4799745,
25,
0,
0
],
[
1744339302.4131496,
25,
0,
0
],
[
1744339404.1484861,
25,
0,
0
],
[
1744339490.5794866,
25,
0,
0
],
[
1744339572.6000776,
25,
0,
0
],
[
1744339660.9020247,
25,
0,
0
],
[
1744339783.6019406,
25,
0,
0
],
[
1744339884.5283773,
25,
0,
0
],
[
1744339988.9177516,
25,
0,
0
],
[
1744340089.7366486,
25,
0,
0
],
[
1744340203.8343966,
25,
0,
0
],
[
1744340301.8462446,
25,
0,
0
],
[
1744340410.4264133,
25,
0,
0
],
[
1744340527.5917687,
25,
0,
0
],
[
1744340612.9384623,
25,
0,
0
],
[
1744340724.7887273,
25,
0,
0
],
[
1744340833.794747,
25,
0,
0
],
[
1744340938.2532282,
25,
0,
0
],
[
1744340938.4591749,
25,
0,
0
],
[
1744340940.0395648,
25,
1,
4
],
[
1744340940.1215994,
25,
1,
4
],
[
1744340940.3234248,
25,
1,
4
],
[
1744340942.0226417,
25,
2,
8
],
[
1744340942.0951507,
25,
2,
8
],
[
1744340942.2833433,
25,
2,
8
],
[
1744340943.9705226,
25,
3,
12
],
[
1744340944.0446074,
25,
3,
12
],
[
1744340944.2515562,
25,
3,
12
],
[
1744340946.1733422,
25,
4,
16
],
[
1744340946.2559264,
25,
4,
16
],
[
1744340946.440257,
25,
4,
16
],
[
1744340947.9910402,
25,
5,
20
],
[
1744340948.063999,
25,
5,
20
],
[
1744340948.287772,
25,
5,
20
],
[
1744340949.975521,
25,
6,
24
],
[
1744340950.0542107,
25,
6,
24
],
[
1744340950.275727,
25,
6,
24
],
[
1744340951.9748383,
25,
7,
28
],
[
1744340952.0510738,
25,
7,
28
],
[
1744340952.252154,
25,
7,
28
],
[
1744340953.908586,
25,
8,
32
],
[
1744340953.988578,
25,
8,
32
],
[
1744340954.1944926,
25,
8,
32
],
[
1744340955.5753024,
25,
9,
36
],
[
1744340955.6544325,
25,
9,
36
],
[
1744340955.8666744,
25,
9,
36
],
[
1744340957.2237077,
25,
10,
40
],
[
1744340957.3001125,
25,
10,
40
],
[
1744340957.4827468,
25,
10,
40
],
[
1744340958.9700682,
25,
11,
44
],
[
1744340959.0441232,
25,
11,
44
],
[
1744340959.2569964,
25,
11,
44
],
[
1744340960.9792497,
25,
12,
48
],
[
1744340961.0554874,
25,
12,
48
],
[
1744340961.2478924,
25,
12,
48
],
[
1744340962.9565394,
25,
13,
52
],
[
1744340963.039336,
25,
13,
52
],
[
1744340963.2458706,
25,
13,
52
],
[
1744340964.9301326,
25,
14,
56
],
[
1744340965.0065641,
25,
14,
56
],
[
1744340965.2379365,
25,
14,
56
],
[
1744340966.890282,
25,
15,
60
],
[
1744340966.971368,
25,
15,
60
],
[
1744340967.1632645,
25,
15,
60
],
[
1744340968.5460289,
25,
16,
64
],
[
1744340968.6236055,
25,
16,
64
],
[
1744340968.8164933,
25,
16,
64
],
[
1744340970.1596725,
25,
17,
68
],
[
1744340970.269319,
25,
17,
68
],
[
1744340970.4802475,
25,
17,
68
],
[
1744340971.9983406,
25,
18,
72
],
[
1744340972.0807474,
25,
18,
72
],
[
1744340972.2963116,
25,
18,
72
],
[
1744340973.9655154,
25,
19,
76
],
[
1744340974.0269191,
25,
19,
76
],
[
1744340974.2193272,
25,
19,
76
],
[
1744340975.737062,
25,
20,
80
],
[
1744340975.8132038,
25,
20,
80
],
[
1744340976.0320883,
25,
20,
80
],
[
1744340977.39887,
25,
21,
84
],
[
1744340977.4756265,
25,
21,
84
],
[
1744340977.6754384,
25,
21,
84
],
[
1744340979.0140676,
25,
22,
88
],
[
1744340979.0914898,
25,
22,
88
],
[
1744340979.3225794,
25,
22,
88
],
[
1744340980.991188,
25,
23,
92
],
[
1744340981.0797486,
25,
23,
92
],
[
1744340981.27952,
25,
23,
92
],
[
1744340982.98894,
25,
24,
96
],
[
1744340983.069168,
25,
24,
96
],
[
1744340983.2646303,
25,
24,
96
],
[
1744340984.9569519,
25,
25,
100
],
[
1744341027.876172,
25,
25,
100
],
[
1744341037.485786,
25,
25,
100
],
[
1744341063.331156,
25,
24,
96
],
[
1744341084.4666557,
25,
23,
92
],
[
1744341085.6249835,
25,
23,
92
],
[
1744341091.1029751,
25,
23,
92
],
[
1744341105.5483105,
25,
22,
88
],
[
1744341121.190463,
25,
21,
84
],
[
1744341136.207857,
25,
20,
80
],
[
1744341151.3444939,
25,
19,
76
],
[
1744341165.7915463,
25,
18,
72
],
[
1744341180.2418265,
25,
17,
68
],
[
1744341195.4539766,
25,
16,
64
],
[
1744341209.7493224,
25,
15,
60
],
[
1744341224.3765461,
25,
14,
56
],
[
1744341238.8450465,
25,
13,
52
],
[
1744341254.1380365,
25,
12,
48
],
[
1744341268.4348135,
25,
11,
44
],
[
1744341283.0628464,
25,
10,
40
],
[
1744341297.3292425,
25,
9,
36
],
[
1744341312.210335,
25,
8,
32
],
[
1744341326.450243,
25,
7,
28
],
[
1744341340.713829,
25,
6,
24
],
[
1744341355.1826344,
25,
5,
20
],
[
1744341369.8029041,
25,
4,
16
],
[
1744341384.031289,
25,
3,
12
],
[
1744341398.5927496,
25,
2,
8
],
[
1744341412.9964006,
25,
1,
4
],
[
1744341428.94313,
25,
0,
0
]
];
var tab_main_worker_cpu_ram_csv_json = [
[
1744336050,
610.4140625,
0.8
],
[
1744336055,
610.69140625,
1
],
[
1744336122,
624.1796875,
5.3
],
[
1744336122,
624.1796875,
16
],
[
1744336122,
624.1796875,
11.1
],
[
1744336122,
624.1796875,
11.1
],
[
1744336688,
639.015625,
7
],
[
1744336688,
639.015625,
8.1
],
[
1744336688,
639.015625,
7.7
],
[
1744337881,
656.6953125,
4.7
],
[
1744337881,
656.6953125,
8.3
],
[
1744341085,
871.44140625,
3.2
],
[
1744341085,
871.44140625,
5.6
],
[
1744341085,
871.44140625,
6.7
],
[
1744341430,
872.94140625,
4
],
[
1744341430,
872.94140625,
5
]
];
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));
}
}
$("#plotResultPairs").data("loaded", "true");
}
function add_up_down_arrows_for_scrolling () {
const upArrow = document.createElement('div');
const downArrow = document.createElement('div');
const style = document.createElement('style');
style.innerHTML = `
.scroll-arrow {
position: fixed;
right: 10px;
z-index: 100;
cursor: pointer;
font-size: 25px;
display: none;
background-color: green;
color: white;
padding: 5px;
outline: 2px solid white;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
transition: background-color 0.3s, transform 0.3s;
}
.scroll-arrow:hover {
background-color: darkgreen;
transform: scale(1.1);
}
#up-arrow {
top: 10px;
}
#down-arrow {
bottom: 10px;
}
`;
document.head.appendChild(style);
upArrow.id = "up-arrow";
upArrow.classList.add("scroll-arrow");
upArrow.classList.add("invert_in_dark_mode");
upArrow.innerHTML = "↑";
downArrow.id = "down-arrow";
downArrow.classList.add("scroll-arrow");
downArrow.classList.add("invert_in_dark_mode");
downArrow.innerHTML = "↓";
document.body.appendChild(upArrow);
document.body.appendChild(downArrow);
function checkScrollPosition() {
const scrollPosition = window.scrollY;
const pageHeight = document.documentElement.scrollHeight;
const windowHeight = window.innerHeight;
if (scrollPosition > 0) {
upArrow.style.display = "block";
} else {
upArrow.style.display = "none";
}
if (scrollPosition + windowHeight < pageHeight) {
downArrow.style.display = "block";
} else {
downArrow.style.display = "none";
}
}
window.addEventListener("scroll", checkScrollPosition);
upArrow.addEventListener("click", function () {
window.scrollTo({ top: 0, behavior: 'smooth' });
});
downArrow.addEventListener("click", function () {
window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
});
checkScrollPosition();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
function plotGPUUsage() {
if ($("#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> Overview</h1>
<h2>Experiment overview: </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>100 </td></tr><tr><td> Number random steps</td><td>50 </td></tr><tr><td> Nr. of workers (parameter)</td><td>25 </td></tr><tr><td> Main process memory (GB)</td><td>8 </td></tr><tr><td> Worker memory (GB)</td><td>5 </td></tr></tbody></table><h2>Best RUNTIME, min (total: 95, failed: 5): </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> VAL_ACCURACY</th><th>VAL_LOSS</th><th>RAM_USAGE</th><th>width</th><th>height</th><th>dense</th><th>dense_units</th><th>epochs</th><th>conv</th><th>conv_filters</th><th>learning_rate</th><th>activation </th></tr></thead><tbody><tr><td> ?</td><td>2.0317</td><td>669.91</td><td>20</td><td>20</td><td>1</td><td>95</td><td>1</td><td>3</td><td>9</td><td>0.025910456544662494</td><td>sigmoid </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>Values</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> width</td><td>range</td><td>20</td><td>80</td><td></td><td>int</td><td>No </td></tr><tr><td> height</td><td>range</td><td>20</td><td>80</td><td></td><td>int</td><td>No </td></tr><tr><td> dense</td><td>range</td><td>1</td><td>32</td><td></td><td>int</td><td>No </td></tr><tr><td> dense_units</td><td>range</td><td>1</td><td>128</td><td></td><td>int</td><td>No </td></tr><tr><td> epochs</td><td>range</td><td>1</td><td>40</td><td></td><td>int</td><td>No </td></tr><tr><td> conv</td><td>range</td><td>1</td><td>4</td><td></td><td>int</td><td>No </td></tr><tr><td> conv_filters</td><td>range</td><td>1</td><td>32</td><td></td><td>int</td><td>No </td></tr><tr><td> learning_rate</td><td>range</td><td>0</td><td>0.1</td><td></td><td>float</td><td>No </td></tr><tr><td> activation</td><td>choice</td><td></td><td></td><td>relu, sigmoid, swish, leaky_relu, tanh, gelu</td><td></td><td></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>5</td>
<td>95</td>
<td>0</td>
<td>100</td>
</tr>
</tbody>
</table>
<h2>Result names and types:</h2>
<br><table>
<tr><th>name</th><th>min/max</th></tr>
<tr>
<td>VAL_ACCURACY</td>
<td>max</td>
</tr>
<tr>
<td>VAL_LOSS</td>
<td>min</td>
</tr>
<tr>
<td>RAM_USAGE</td>
<td>min</td>
</tr>
<tr>
<td>RUNTIME</td>
<td>min</td>
</tr>
</table><br>
<h2>Last progressbar status:</h2>
<tt>2025-04-11 05:17:08: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 95 done, waiting for 23 jobs, finished 23 jobs</tt><br>
<h2>Git-Version:</h2>
<tt>Commit: 58c61842788b9f9d98adbf16811729523dd15941 (5655-17-g58c618427)
</tt>
<h1> Pareto-Fronts</h1>
<div id='pareto_front_graphs_container'></div>
<pre> Pareto-Front for VAL_ACCURACY/VAL_LOSS:
â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”┓
┃ width ┃ height ┃ dense ┃ dense_units ┃ epochs ┃ conv ┃ conv_filters ┃ learning_rate ┃ activation ┃ VAL_ACCURACY ┃ VAL_LOSS ┃ RAM_USAGE ┃ RUNTIME ┃
┡â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”┩
│ 26 │ 73 │ 1 │ 57 │ 15 │ 3 │ 24 │ 0.032092443108558653397377469219 │ swish │ 0.279 │ 1.526 │ 813.160 │ 262.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 29 │ 28 │ 118 │ 27 │ 1 │ 16 │ 0.085521344840526591912777121252 │ sigmoid │ 0.197 │ 1.725 │ 1005.060 │ 229.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 56 │ 52 │ 11 │ 23 │ 32 │ 2 │ 32 │ 0.058539896737784147262573242188 │ tanh │ 0.280 │ 1.691 │ 911.670 │ 274.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 46 │ 18 │ 92 │ 9 │ 4 │ 8 │ 0.011370722576975822795675163945 │ swish │ 0.303 │ 1.524 │ 845.470 │ 291.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 42 │ 59 │ 31 │ 73 │ 3 │ 3 │ 25 │ 0.069653043244034054670699163125 │ relu │ 0.303 │ 1.529 │ 977.120 │ 339.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 63 │ 40 │ 6 │ 6 │ 37 │ 1 │ 1 │ 0.022864626906812193785079045938 │ gelu │ 0.420 │ 1.309 │ 696.930 │ 180.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 79 │ 21 │ 103 │ 22 │ 2 │ 17 │ 0.045989227015525102615356445312 │ swish │ 0.303 │ 1.534 │ 1118.540 │ 399.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 31 │ 23 │ 16 │ 44 │ 20 │ 4 │ 9 │ 0.099017534591257574949629827188 │ gelu │ 0.303 │ 1.531 │ 762.970 │ 234.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 55 │ 23 │ 16 │ 30 │ 4 │ 28 │ 0.068392300978302955627441406250 │ leaky_relu │ 0.246 │ 5858663071744.000 │ 894.300 │ 456.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 43 │ 14 │ 67 │ 12 │ 2 │ 4 │ 0.015556015353649855353923570078 │ gelu │ 0.279 │ 1.526 │ 804.710 │ 198.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 68 │ 29 │ 34 │ 6 │ 1 │ 20 │ 0.040968670696020129118330999063 │ sigmoid │ 0.303 │ 1.534 │ 907.450 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 34 │ 8 │ 109 │ 33 │ 3 │ 12 │ 0.087558580841869126931698019689 │ tanh │ 0.303 │ 2.845 │ 778.440 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 45 │ 75 │ 9 │ 128 │ 38 │ 4 │ 21 │ 0.031033891625702383215701374297 │ gelu │ 0.303 │ 1.528 │ 1104.600 │ 321.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 51 │ 27 │ 20 │ 51 │ 2 │ 2 │ 13 │ 0.078010566998273134231567382812 │ relu │ 0.303 │ 1.531 │ 805.540 │ 141.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 62 │ 3 │ 82 │ 17 │ 1 │ 29 │ 0.053330907039344316311613170001 │ relu │ 0.303 │ 1.558 │ 976.760 │ 222.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 36 │ 26 │ 29 │ 25 │ 3 │ 5 │ 0.000100226048380136497999680356 │ tanh │ 0.609 │ 1.154 │ 760.960 │ 282.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 23 │ 65 │ 13 │ 97 │ 10 │ 2 │ 15 │ 0.050486355926841502972379771563 │ swish │ 0.279 │ 1.554 │ 825.030 │ 208.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 75 │ 37 │ 24 │ 46 │ 32 │ 4 │ 23 │ 0.003896919637918472376775236299 │ relu │ 0.303 │ 1.525 │ 955.340 │ 468.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 75 │ 7 │ 79 │ 26 │ 3 │ 7 │ 0.027652088087052106857299804688 │ sigmoid │ 0.303 │ 1.529 │ 826.340 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 43 │ 24 │ 30 │ 4 │ 13 │ 1 │ 31 │ 0.080489044263958933744795842813 │ gelu │ 0.279 │ 1.550 │ 822.980 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 38 │ 66 │ 19 │ 17 │ 18 │ 2 │ 2 │ 0.038027142826467755232222600625 │ sigmoid │ 0.279 │ 1.532 │ 758.970 │ 133.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 59 │ 32 │ 10 │ 94 │ 21 │ 4 │ 26 │ 0.091256962530314927883878795001 │ tanh │ 0.258 │ 2.625 │ 918.890 │ 328.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 68 │ 56 │ 25 │ 63 │ 37 │ 3 │ 10 │ 0.065109023917466410380505692501 │ swish │ 0.303 │ 1.526 │ 917.460 │ 393.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 28 │ 46 │ 4 │ 116 │ 5 │ 1 │ 18 │ 0.018131302483379841544719468516 │ relu │ 0.452 │ 1.873 │ 790.060 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 78 │ 27 │ 88 │ 35 │ 1 │ 3 │ 0.048442378267645837264243624531 │ tanh │ 0.210 │ 2.099 │ 815.840 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 27 │ 7 │ 3 │ 27 │ 0.095612217020243417398006613439 │ swish │ 0.279 │ 1.539 │ 790.670 │ 240.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 61 │ 17 │ 122 │ 11 │ 4 │ 11 │ 0.073424696922302246093750000000 │ sigmoid │ 0.279 │ 1.629 │ 980.280 │ 245.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 40 │ 41 │ 12 │ 53 │ 28 │ 2 │ 19 │ 0.019996275659650564193725585938 │ relu │ 0.303 │ 1.534 │ 776.000 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 52 │ 5 │ 40 │ 23 │ 1 │ 14 │ 0.061091574467718602614585421406 │ leaky_relu │ 0.445 │ 1.690 │ 768.340 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 50 │ 32 │ 107 │ 16 │ 3 │ 22 │ 0.008062214870005846717448960703 │ relu │ 0.303 │ 1.524 │ 1089.670 │ 642.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 70 │ 15 │ 10 │ 2 │ 4 │ 6 │ 0.035767120681703089279945828594 │ tanh │ 0.352 │ 1.488 │ 875.730 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 29 │ 22 │ 69 │ 40 │ 2 │ 30 │ 0.082554681692272424697875976562 │ swish │ 0.279 │ 1.530 │ 838.340 │ 138.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 50 │ 29 │ 114 │ 19 │ 2 │ 7 │ 0.093912466894835233688354492188 │ relu │ 0.303 │ 1.537 │ 843.060 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 79 │ 48 │ 8 │ 61 │ 23 │ 4 │ 31 │ 0.047139210626482963562011718750 │ gelu │ 0.279 │ 1.589 │ 1036.950 │ 410.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 23 │ 96 │ 36 │ 3 │ 15 │ 0.021726746018975975210940632110 │ leaky_relu │ 0.315 │ 138027384832.000 │ 1014.660 │ 1113.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 49 │ 31 │ 14 │ 19 │ 4 │ 1 │ 23 │ 0.074745996296405797787443248126 │ swish │ 0.303 │ 1.534 │ 758.290 │ 241.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 39 │ 80 │ 3 │ 2 │ 9 │ 2 │ 10 │ 0.006270900089293718511485042910 │ sigmoid │ 0.303 │ 1.524 │ 739.280 │ 154.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 22 │ 26 │ 77 │ 31 │ 4 │ 18 │ 0.059684635140001773834228515625 │ leaky_relu │ 0.099 │ 1.833 │ 785.060 │ 318.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 70 │ 59 │ 9 │ 48 │ 27 │ 3 │ 2 │ 0.084364485833793884106412974688 │ tanh │ 0.303 │ 1.530 │ 857.080 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 40 │ 20 │ 99 │ 14 │ 1 │ 26 │ 0.037204374931752680344398953594 │ sigmoid │ 0.595 │ 1.176 │ 731.900 │ 192.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 29 │ 68 │ 11 │ 71 │ 24 │ 1 │ 11 │ 0.005212353914976120342061882695 │ gelu │ 0.123 │ 3.400 │ 839.850 │ 260.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 34 │ 18 │ 12 │ 18 │ 3 │ 19 │ 0.052173863258212806182090304219 │ leaky_relu │ 0.304 │ 1.747 │ 733.750 │ 90.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 58 │ 55 │ 1 │ 105 │ 1 │ 4 │ 3 │ 0.079155502095818522367842717813 │ swish │ 0.243 │ 1.728 │ 910.060 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 44 │ 28 │ 38 │ 39 │ 2 │ 27 │ 0.025933884363621474006267320078 │ tanh │ 0.303 │ 1.535 │ 794.860 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 63 │ 21 │ 55 │ 34 │ 1 │ 6 │ 0.092651730589568617735274358438 │ relu │ 0.351 │ 468589936640.000 │ 1022.710 │ 320.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 35 │ 16 │ 124 │ 6 │ 3 │ 30 │ 0.039830605033785104751586914062 │ leaky_relu │ 0.279 │ 1.539 │ 965.950 │ 317.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 73 │ 77 │ 31 │ 25 │ 13 │ 4 │ 14 │ 0.016706195659935474395751953125 │ leaky_relu │ 0.279 │ 1.532 │ 755.600 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 22 │ 25 │ 6 │ 86 │ 30 │ 2 │ 22 │ 0.063287048507481818981901255938 │ gelu │ 0.303 │ 1.536 │ 881.800 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 73 │ 17 │ 42 │ 5 │ 3 │ 32 │ 0.013862413447350264983359835469 │ gelu │ 0.290 │ 2.359 │ 793.410 │ 243.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 25 │ 12 │ 101 │ 38 │ 1 │ 8 │ 0.067082985118031498994461969687 │ tanh │ 0.303 │ 1.539 │ 905.330 │ 508.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 64 │ 27 │ 8 │ 21 │ 2 │ 24 │ 0.089270695950835948773161021563 │ sigmoid │ 0.279 │ 1.537 │ 805.340 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 38 │ 2 │ 75 │ 19 │ 4 │ 16 │ 0.042308325320482259579435435626 │ relu │ 0.303 │ 1.585 │ 871.550 │ 428.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 57 │ 15 │ 90 │ 14 │ 3 │ 17 │ 0.076213193405419599191219504064 │ sigmoid │ 0.279 │ 1.530 │ 815.110 │ 196.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 45 │ 22 │ 21 │ 26 │ 1 │ 9 │ 0.029633011110126974280154499297 │ swish │ 0.552 │ 4.712 │ 1098.140 │ 429.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 67 │ 66 │ 5 │ 120 │ 33 │ 2 │ 25 │ 0.001928296033293008891057462861 │ leaky_relu │ 0.298 │ 2.005 │ 804.020 │ 176.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 32 │ 32 │ 59 │ 10 │ 4 │ 1 │ 0.054749895446002484755698702656 │ tanh │ 0.302 │ 1.754 │ 836.380 │ 382.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 32 │ 60 │ 7 │ 31 │ 40 │ 4 │ 20 │ 0.086818417906761174984708873126 │ tanh │ 0.433 │ 1.365 │ 1017.420 │ 300.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 42 │ 30 │ 84 │ 3 │ 2 │ 12 │ 0.033798312302678823471069335938 │ leaky_relu │ 0.303 │ 1.527 │ 809.000 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 77 │ 13 │ 49 │ 16 │ 1 │ 28 │ 0.010043334588408470500753288945 │ swish │ 0.357 │ 1.671 │ 1109.150 │ 370.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 21 │ 24 │ 126 │ 24 │ 3 │ 4 │ 0.056815538834780458798956459532 │ gelu │ 0.279 │ 1312.504 │ 708.390 │ 298.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 47 │ 71 │ 25 │ 111 │ 29 │ 4 │ 29 │ 0.024277654848992826636111530547 │ tanh │ 0.279 │ 1.543 │ 762.670 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 28 │ 4 │ 36 │ 11 │ 2 │ 5 │ 0.071438245568424471598767411251 │ leaky_relu │ 0.303 │ 1.530 │ 828.440 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 77 │ 54 │ 19 │ 65 │ 8 │ 1 │ 21 │ 0.097586374916136267576582952188 │ leaky_relu │ 0.279 │ 1.532 │ 857.770 │ 143.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 25 │ 48 │ 10 │ 14 │ 35 │ 3 │ 13 │ 0.044173304457217454910278320312 │ sigmoid │ 0.611 │ 2.392 │ 792.520 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 26 │ 60 │ 20 │ 83 │ 23 │ 4 │ 10 │ 0.043133443035185341229986732969 │ leaky_relu │ 0.303 │ 1.540 │ 829.210 │ 179.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 39 │ 9 │ 32 │ 20 │ 2 │ 18 │ 0.090107254404574635420210881875 │ sigmoid │ 0.279 │ 1.533 │ 1048.380 │ 344.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 80 │ 26 │ 125 │ 4 │ 1 │ 2 │ 0.066258624754846104365491044064 │ swish │ 0.365 │ 1.458 │ 768.340 │ 257.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 22 │ 3 │ 50 │ 36 │ 3 │ 26 │ 0.013025085721164942481609116953 │ relu │ 0.303 │ 1.526 │ 820.360 │ 353.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 72 │ 14 │ 35 │ 31 │ 4 │ 7 │ 0.055487286671996122189298716876 │ swish │ 0.279 │ 1.529 │ 863.480 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 62 │ 30 │ 23 │ 112 │ 9 │ 2 │ 31 │ 0.002654240559786558237981290986 │ relu │ 0.303 │ 1.543 │ 882.160 │ 190.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 51 │ 8 │ 13 │ 15 │ 1 │ 15 │ 0.028894874453544619474776311563 │ tanh │ 0.279 │ 49438.102 │ 736.590 │ 139.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 47 │ 29 │ 66 │ 28 │ 3 │ 23 │ 0.075488030072301634532117020626 │ leaky_relu │ 0.279 │ 107100766208.000 │ 775.440 │ 146.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 76 │ 6 │ 102 │ 18 │ 3 │ 6 │ 0.057553675118833781676475069844 │ gelu │ 0.175 │ 2.014 │ 760.710 │ 140.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 26 │ 31 │ 41 │ 25 │ 1 │ 30 │ 0.010768498294055461883544921875 │ relu │ 0.236 │ 2.202 │ 658.880 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 63 │ 16 │ 76 │ 39 │ 2 │ 14 │ 0.033060920704156164517950600157 │ sigmoid │ 0.099 │ 2.001 │ 696.970 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 64 │ 10 │ 66 │ 27 │ 1 │ 1 │ 0.014134787988107858774933234258 │ leaky_relu │ 0.679 │ 2.066 │ 754.820 │ 209.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 18 │ 14 │ 37 │ 1 │ 6 │ 0.059086523516428922364607245754 │ leaky_relu │ 0.289 │ 175.348 │ 748.030 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 31 │ 1 │ 106 │ 31 │ 1 │ 18 │ 0.000000000000000000000000000000 │ leaky_relu │ 0.212 │ 1.806 │ 709.750 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 65 │ 1 │ 47 │ 26 │ 1 │ 5 │ 0.000000000000000000000000000000 │ relu │ 0.238 │ 1.877 │ 661.450 │ 62.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 55 │ 6 │ 75 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ sigmoid │ 0.152 │ 1.811 │ 702.780 │ 111.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 51 │ 2 │ 57 │ 31 │ 1 │ 15 │ 0.007317698416411802693481991611 │ leaky_relu │ 0.176 │ 2.011 │ 660.640 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 32 │ 13 │ 14 │ 15 │ 1 │ 26 │ 0.064650171459835203968680161779 │ leaky_relu │ 0.755 │ 1.848 │ 765.720 │ 178.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 50 │ 2 │ 70 │ 36 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.279 │ 2.005 │ 679.560 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 65 │ 1 │ 65 │ 1 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.664 │ 1.132 │ 692.040 │ 181.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 21 │ 3 │ 23 │ 4 │ 3 │ 12 │ 0.000000000000000000000000000000 │ tanh │ 0.170 │ 2.109 │ 739.380 │ 137.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 1 │ 68 │ 11 │ 1 │ 2 │ 0.000000000000000000000000000000 │ gelu │ 0.099 │ 1.914 │ 726.300 │ 199.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 50 │ 42 │ 1 │ 66 │ 24 │ 1 │ 9 │ 0.002993842920352664770111683623 │ leaky_relu │ 0.161 │ 2.389 │ 696.000 │ 126.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 35 │ 54 │ 1 │ 69 │ 5 │ 1 │ 3 │ 0.000000000000000000000000000000 │ sigmoid │ 0.136 │ 1.859 │ 729.690 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 20 │ 1 │ 80 │ 15 │ 3 │ 1 │ 0.003689927636538623424017346863 │ sigmoid │ 0.164 │ 1.764 │ 724.020 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 72 │ 1 │ 85 │ 9 │ 1 │ 1 │ 0.000000000000000000000000000000 │ relu │ 0.356 │ 2.032 │ 669.910 │ 61.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 25 │ 19 │ 3 │ 14 │ 0.000000000000000000000000000000 │ sigmoid │ 0.668 │ 1.216 │ 713.320 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 68 │ 1 │ 78 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.721 │ 1.117 │ 715.330 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 59 │ 1 │ 63 │ 37 │ 1 │ 7 │ 0.000000000000000000000000000000 │ sigmoid │ 0.474 │ 2.046 │ 678.550 │ 173.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 61 │ 1 │ 70 │ 40 │ 1 │ 16 │ 0.000000000000000000000000000000 │ sigmoid │ 0.102 │ 1.870 │ 798.720 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 20 │ 1 │ 95 │ 1 │ 3 │ 9 │ 0.025910456544662494038355760040 │ sigmoid │ 0.197 │ 1.634 │ 782.010 │ 123.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 21 │ 4 │ 85 │ 39 │ 3 │ 14 │ 0.007229049290819482623260405774 │ swish │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 23 │ 4 │ 37 │ 38 │ 3 │ 13 │ 0.000555745820291206446724097123 │ gelu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 34 │ 1 │ 4 │ 34 │ 1 │ 9 │ 0.055110439702635696801458209393 │ leaky_relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 10 │ 93 │ 24 │ 1 │ 20 │ 0.000000000000000000000000000000 │ relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 31 │ 11 │ 102 │ 5 │ 1 │ 8 │ 0.000000000000000000000000000000 │ leaky_relu │ │ │ │ │
└───────┴────────┴───────┴─────────────┴────────┴──────┴──────────────┴──────────────────────────────────┴────────────┴──────────────┴───────────────────┴───────────┴──────────┘
Pareto-Front for VAL_ACCURACY/RAM_USAGE:
â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”┓
┃ width ┃ height ┃ dense ┃ dense_units ┃ epochs ┃ conv ┃ conv_filters ┃ learning_rate ┃ activation ┃ VAL_ACCURACY ┃ VAL_LOSS ┃ RAM_USAGE ┃ RUNTIME ┃
┡â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”┩
│ 26 │ 73 │ 1 │ 57 │ 15 │ 3 │ 24 │ 0.032092443108558653397377469219 │ swish │ 0.279 │ 1.526 │ 813.160 │ 262.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 29 │ 28 │ 118 │ 27 │ 1 │ 16 │ 0.085521344840526591912777121252 │ sigmoid │ 0.197 │ 1.725 │ 1005.060 │ 229.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 56 │ 52 │ 11 │ 23 │ 32 │ 2 │ 32 │ 0.058539896737784147262573242188 │ tanh │ 0.280 │ 1.691 │ 911.670 │ 274.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 46 │ 18 │ 92 │ 9 │ 4 │ 8 │ 0.011370722576975822795675163945 │ swish │ 0.303 │ 1.524 │ 845.470 │ 291.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 42 │ 59 │ 31 │ 73 │ 3 │ 3 │ 25 │ 0.069653043244034054670699163125 │ relu │ 0.303 │ 1.529 │ 977.120 │ 339.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 63 │ 40 │ 6 │ 6 │ 37 │ 1 │ 1 │ 0.022864626906812193785079045938 │ gelu │ 0.420 │ 1.309 │ 696.930 │ 180.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 79 │ 21 │ 103 │ 22 │ 2 │ 17 │ 0.045989227015525102615356445312 │ swish │ 0.303 │ 1.534 │ 1118.540 │ 399.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 31 │ 23 │ 16 │ 44 │ 20 │ 4 │ 9 │ 0.099017534591257574949629827188 │ gelu │ 0.303 │ 1.531 │ 762.970 │ 234.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 55 │ 23 │ 16 │ 30 │ 4 │ 28 │ 0.068392300978302955627441406250 │ leaky_relu │ 0.246 │ 5858663071744.000 │ 894.300 │ 456.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 43 │ 14 │ 67 │ 12 │ 2 │ 4 │ 0.015556015353649855353923570078 │ gelu │ 0.279 │ 1.526 │ 804.710 │ 198.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 68 │ 29 │ 34 │ 6 │ 1 │ 20 │ 0.040968670696020129118330999063 │ sigmoid │ 0.303 │ 1.534 │ 907.450 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 34 │ 8 │ 109 │ 33 │ 3 │ 12 │ 0.087558580841869126931698019689 │ tanh │ 0.303 │ 2.845 │ 778.440 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 45 │ 75 │ 9 │ 128 │ 38 │ 4 │ 21 │ 0.031033891625702383215701374297 │ gelu │ 0.303 │ 1.528 │ 1104.600 │ 321.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 51 │ 27 │ 20 │ 51 │ 2 │ 2 │ 13 │ 0.078010566998273134231567382812 │ relu │ 0.303 │ 1.531 │ 805.540 │ 141.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 62 │ 3 │ 82 │ 17 │ 1 │ 29 │ 0.053330907039344316311613170001 │ relu │ 0.303 │ 1.558 │ 976.760 │ 222.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 36 │ 26 │ 29 │ 25 │ 3 │ 5 │ 0.000100226048380136497999680356 │ tanh │ 0.609 │ 1.154 │ 760.960 │ 282.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 23 │ 65 │ 13 │ 97 │ 10 │ 2 │ 15 │ 0.050486355926841502972379771563 │ swish │ 0.279 │ 1.554 │ 825.030 │ 208.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 75 │ 37 │ 24 │ 46 │ 32 │ 4 │ 23 │ 0.003896919637918472376775236299 │ relu │ 0.303 │ 1.525 │ 955.340 │ 468.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 75 │ 7 │ 79 │ 26 │ 3 │ 7 │ 0.027652088087052106857299804688 │ sigmoid │ 0.303 │ 1.529 │ 826.340 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 43 │ 24 │ 30 │ 4 │ 13 │ 1 │ 31 │ 0.080489044263958933744795842813 │ gelu │ 0.279 │ 1.550 │ 822.980 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 38 │ 66 │ 19 │ 17 │ 18 │ 2 │ 2 │ 0.038027142826467755232222600625 │ sigmoid │ 0.279 │ 1.532 │ 758.970 │ 133.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 59 │ 32 │ 10 │ 94 │ 21 │ 4 │ 26 │ 0.091256962530314927883878795001 │ tanh │ 0.258 │ 2.625 │ 918.890 │ 328.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 68 │ 56 │ 25 │ 63 │ 37 │ 3 │ 10 │ 0.065109023917466410380505692501 │ swish │ 0.303 │ 1.526 │ 917.460 │ 393.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 28 │ 46 │ 4 │ 116 │ 5 │ 1 │ 18 │ 0.018131302483379841544719468516 │ relu │ 0.452 │ 1.873 │ 790.060 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 78 │ 27 │ 88 │ 35 │ 1 │ 3 │ 0.048442378267645837264243624531 │ tanh │ 0.210 │ 2.099 │ 815.840 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 27 │ 7 │ 3 │ 27 │ 0.095612217020243417398006613439 │ swish │ 0.279 │ 1.539 │ 790.670 │ 240.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 61 │ 17 │ 122 │ 11 │ 4 │ 11 │ 0.073424696922302246093750000000 │ sigmoid │ 0.279 │ 1.629 │ 980.280 │ 245.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 40 │ 41 │ 12 │ 53 │ 28 │ 2 │ 19 │ 0.019996275659650564193725585938 │ relu │ 0.303 │ 1.534 │ 776.000 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 52 │ 5 │ 40 │ 23 │ 1 │ 14 │ 0.061091574467718602614585421406 │ leaky_relu │ 0.445 │ 1.690 │ 768.340 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 50 │ 32 │ 107 │ 16 │ 3 │ 22 │ 0.008062214870005846717448960703 │ relu │ 0.303 │ 1.524 │ 1089.670 │ 642.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 70 │ 15 │ 10 │ 2 │ 4 │ 6 │ 0.035767120681703089279945828594 │ tanh │ 0.352 │ 1.488 │ 875.730 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 29 │ 22 │ 69 │ 40 │ 2 │ 30 │ 0.082554681692272424697875976562 │ swish │ 0.279 │ 1.530 │ 838.340 │ 138.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 50 │ 29 │ 114 │ 19 │ 2 │ 7 │ 0.093912466894835233688354492188 │ relu │ 0.303 │ 1.537 │ 843.060 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 79 │ 48 │ 8 │ 61 │ 23 │ 4 │ 31 │ 0.047139210626482963562011718750 │ gelu │ 0.279 │ 1.589 │ 1036.950 │ 410.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 23 │ 96 │ 36 │ 3 │ 15 │ 0.021726746018975975210940632110 │ leaky_relu │ 0.315 │ 138027384832.000 │ 1014.660 │ 1113.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 49 │ 31 │ 14 │ 19 │ 4 │ 1 │ 23 │ 0.074745996296405797787443248126 │ swish │ 0.303 │ 1.534 │ 758.290 │ 241.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 39 │ 80 │ 3 │ 2 │ 9 │ 2 │ 10 │ 0.006270900089293718511485042910 │ sigmoid │ 0.303 │ 1.524 │ 739.280 │ 154.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 22 │ 26 │ 77 │ 31 │ 4 │ 18 │ 0.059684635140001773834228515625 │ leaky_relu │ 0.099 │ 1.833 │ 785.060 │ 318.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 70 │ 59 │ 9 │ 48 │ 27 │ 3 │ 2 │ 0.084364485833793884106412974688 │ tanh │ 0.303 │ 1.530 │ 857.080 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 40 │ 20 │ 99 │ 14 │ 1 │ 26 │ 0.037204374931752680344398953594 │ sigmoid │ 0.595 │ 1.176 │ 731.900 │ 192.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 29 │ 68 │ 11 │ 71 │ 24 │ 1 │ 11 │ 0.005212353914976120342061882695 │ gelu │ 0.123 │ 3.400 │ 839.850 │ 260.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 34 │ 18 │ 12 │ 18 │ 3 │ 19 │ 0.052173863258212806182090304219 │ leaky_relu │ 0.304 │ 1.747 │ 733.750 │ 90.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 58 │ 55 │ 1 │ 105 │ 1 │ 4 │ 3 │ 0.079155502095818522367842717813 │ swish │ 0.243 │ 1.728 │ 910.060 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 44 │ 28 │ 38 │ 39 │ 2 │ 27 │ 0.025933884363621474006267320078 │ tanh │ 0.303 │ 1.535 │ 794.860 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 63 │ 21 │ 55 │ 34 │ 1 │ 6 │ 0.092651730589568617735274358438 │ relu │ 0.351 │ 468589936640.000 │ 1022.710 │ 320.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 35 │ 16 │ 124 │ 6 │ 3 │ 30 │ 0.039830605033785104751586914062 │ leaky_relu │ 0.279 │ 1.539 │ 965.950 │ 317.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 73 │ 77 │ 31 │ 25 │ 13 │ 4 │ 14 │ 0.016706195659935474395751953125 │ leaky_relu │ 0.279 │ 1.532 │ 755.600 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 22 │ 25 │ 6 │ 86 │ 30 │ 2 │ 22 │ 0.063287048507481818981901255938 │ gelu │ 0.303 │ 1.536 │ 881.800 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 73 │ 17 │ 42 │ 5 │ 3 │ 32 │ 0.013862413447350264983359835469 │ gelu │ 0.290 │ 2.359 │ 793.410 │ 243.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 25 │ 12 │ 101 │ 38 │ 1 │ 8 │ 0.067082985118031498994461969687 │ tanh │ 0.303 │ 1.539 │ 905.330 │ 508.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 64 │ 27 │ 8 │ 21 │ 2 │ 24 │ 0.089270695950835948773161021563 │ sigmoid │ 0.279 │ 1.537 │ 805.340 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 38 │ 2 │ 75 │ 19 │ 4 │ 16 │ 0.042308325320482259579435435626 │ relu │ 0.303 │ 1.585 │ 871.550 │ 428.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 57 │ 15 │ 90 │ 14 │ 3 │ 17 │ 0.076213193405419599191219504064 │ sigmoid │ 0.279 │ 1.530 │ 815.110 │ 196.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 45 │ 22 │ 21 │ 26 │ 1 │ 9 │ 0.029633011110126974280154499297 │ swish │ 0.552 │ 4.712 │ 1098.140 │ 429.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 67 │ 66 │ 5 │ 120 │ 33 │ 2 │ 25 │ 0.001928296033293008891057462861 │ leaky_relu │ 0.298 │ 2.005 │ 804.020 │ 176.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 32 │ 32 │ 59 │ 10 │ 4 │ 1 │ 0.054749895446002484755698702656 │ tanh │ 0.302 │ 1.754 │ 836.380 │ 382.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 32 │ 60 │ 7 │ 31 │ 40 │ 4 │ 20 │ 0.086818417906761174984708873126 │ tanh │ 0.433 │ 1.365 │ 1017.420 │ 300.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 42 │ 30 │ 84 │ 3 │ 2 │ 12 │ 0.033798312302678823471069335938 │ leaky_relu │ 0.303 │ 1.527 │ 809.000 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 77 │ 13 │ 49 │ 16 │ 1 │ 28 │ 0.010043334588408470500753288945 │ swish │ 0.357 │ 1.671 │ 1109.150 │ 370.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 21 │ 24 │ 126 │ 24 │ 3 │ 4 │ 0.056815538834780458798956459532 │ gelu │ 0.279 │ 1312.504 │ 708.390 │ 298.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 47 │ 71 │ 25 │ 111 │ 29 │ 4 │ 29 │ 0.024277654848992826636111530547 │ tanh │ 0.279 │ 1.543 │ 762.670 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 28 │ 4 │ 36 │ 11 │ 2 │ 5 │ 0.071438245568424471598767411251 │ leaky_relu │ 0.303 │ 1.530 │ 828.440 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 77 │ 54 │ 19 │ 65 │ 8 │ 1 │ 21 │ 0.097586374916136267576582952188 │ leaky_relu │ 0.279 │ 1.532 │ 857.770 │ 143.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 25 │ 48 │ 10 │ 14 │ 35 │ 3 │ 13 │ 0.044173304457217454910278320312 │ sigmoid │ 0.611 │ 2.392 │ 792.520 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 26 │ 60 │ 20 │ 83 │ 23 │ 4 │ 10 │ 0.043133443035185341229986732969 │ leaky_relu │ 0.303 │ 1.540 │ 829.210 │ 179.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 39 │ 9 │ 32 │ 20 │ 2 │ 18 │ 0.090107254404574635420210881875 │ sigmoid │ 0.279 │ 1.533 │ 1048.380 │ 344.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 80 │ 26 │ 125 │ 4 │ 1 │ 2 │ 0.066258624754846104365491044064 │ swish │ 0.365 │ 1.458 │ 768.340 │ 257.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 22 │ 3 │ 50 │ 36 │ 3 │ 26 │ 0.013025085721164942481609116953 │ relu │ 0.303 │ 1.526 │ 820.360 │ 353.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 72 │ 14 │ 35 │ 31 │ 4 │ 7 │ 0.055487286671996122189298716876 │ swish │ 0.279 │ 1.529 │ 863.480 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 62 │ 30 │ 23 │ 112 │ 9 │ 2 │ 31 │ 0.002654240559786558237981290986 │ relu │ 0.303 │ 1.543 │ 882.160 │ 190.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 51 │ 8 │ 13 │ 15 │ 1 │ 15 │ 0.028894874453544619474776311563 │ tanh │ 0.279 │ 49438.102 │ 736.590 │ 139.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 47 │ 29 │ 66 │ 28 │ 3 │ 23 │ 0.075488030072301634532117020626 │ leaky_relu │ 0.279 │ 107100766208.000 │ 775.440 │ 146.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 76 │ 6 │ 102 │ 18 │ 3 │ 6 │ 0.057553675118833781676475069844 │ gelu │ 0.175 │ 2.014 │ 760.710 │ 140.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 26 │ 31 │ 41 │ 25 │ 1 │ 30 │ 0.010768498294055461883544921875 │ relu │ 0.236 │ 2.202 │ 658.880 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 63 │ 16 │ 76 │ 39 │ 2 │ 14 │ 0.033060920704156164517950600157 │ sigmoid │ 0.099 │ 2.001 │ 696.970 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 64 │ 10 │ 66 │ 27 │ 1 │ 1 │ 0.014134787988107858774933234258 │ leaky_relu │ 0.679 │ 2.066 │ 754.820 │ 209.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 18 │ 14 │ 37 │ 1 │ 6 │ 0.059086523516428922364607245754 │ leaky_relu │ 0.289 │ 175.348 │ 748.030 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 31 │ 1 │ 106 │ 31 │ 1 │ 18 │ 0.000000000000000000000000000000 │ leaky_relu │ 0.212 │ 1.806 │ 709.750 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 65 │ 1 │ 47 │ 26 │ 1 │ 5 │ 0.000000000000000000000000000000 │ relu │ 0.238 │ 1.877 │ 661.450 │ 62.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 55 │ 6 │ 75 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ sigmoid │ 0.152 │ 1.811 │ 702.780 │ 111.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 51 │ 2 │ 57 │ 31 │ 1 │ 15 │ 0.007317698416411802693481991611 │ leaky_relu │ 0.176 │ 2.011 │ 660.640 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 32 │ 13 │ 14 │ 15 │ 1 │ 26 │ 0.064650171459835203968680161779 │ leaky_relu │ 0.755 │ 1.848 │ 765.720 │ 178.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 50 │ 2 │ 70 │ 36 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.279 │ 2.005 │ 679.560 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 65 │ 1 │ 65 │ 1 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.664 │ 1.132 │ 692.040 │ 181.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 21 │ 3 │ 23 │ 4 │ 3 │ 12 │ 0.000000000000000000000000000000 │ tanh │ 0.170 │ 2.109 │ 739.380 │ 137.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 1 │ 68 │ 11 │ 1 │ 2 │ 0.000000000000000000000000000000 │ gelu │ 0.099 │ 1.914 │ 726.300 │ 199.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 50 │ 42 │ 1 │ 66 │ 24 │ 1 │ 9 │ 0.002993842920352664770111683623 │ leaky_relu │ 0.161 │ 2.389 │ 696.000 │ 126.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 35 │ 54 │ 1 │ 69 │ 5 │ 1 │ 3 │ 0.000000000000000000000000000000 │ sigmoid │ 0.136 │ 1.859 │ 729.690 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 20 │ 1 │ 80 │ 15 │ 3 │ 1 │ 0.003689927636538623424017346863 │ sigmoid │ 0.164 │ 1.764 │ 724.020 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 72 │ 1 │ 85 │ 9 │ 1 │ 1 │ 0.000000000000000000000000000000 │ relu │ 0.356 │ 2.032 │ 669.910 │ 61.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 25 │ 19 │ 3 │ 14 │ 0.000000000000000000000000000000 │ sigmoid │ 0.668 │ 1.216 │ 713.320 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 68 │ 1 │ 78 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.721 │ 1.117 │ 715.330 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 59 │ 1 │ 63 │ 37 │ 1 │ 7 │ 0.000000000000000000000000000000 │ sigmoid │ 0.474 │ 2.046 │ 678.550 │ 173.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 61 │ 1 │ 70 │ 40 │ 1 │ 16 │ 0.000000000000000000000000000000 │ sigmoid │ 0.102 │ 1.870 │ 798.720 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 20 │ 1 │ 95 │ 1 │ 3 │ 9 │ 0.025910456544662494038355760040 │ sigmoid │ 0.197 │ 1.634 │ 782.010 │ 123.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 21 │ 4 │ 85 │ 39 │ 3 │ 14 │ 0.007229049290819482623260405774 │ swish │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 23 │ 4 │ 37 │ 38 │ 3 │ 13 │ 0.000555745820291206446724097123 │ gelu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 34 │ 1 │ 4 │ 34 │ 1 │ 9 │ 0.055110439702635696801458209393 │ leaky_relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 10 │ 93 │ 24 │ 1 │ 20 │ 0.000000000000000000000000000000 │ relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 31 │ 11 │ 102 │ 5 │ 1 │ 8 │ 0.000000000000000000000000000000 │ leaky_relu │ │ │ │ │
└───────┴────────┴───────┴─────────────┴────────┴──────┴──────────────┴──────────────────────────────────┴────────────┴──────────────┴───────────────────┴───────────┴──────────┘
Pareto-Front for VAL_ACCURACY/RUNTIME:
â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”┓
┃ width ┃ height ┃ dense ┃ dense_units ┃ epochs ┃ conv ┃ conv_filters ┃ learning_rate ┃ activation ┃ VAL_ACCURACY ┃ VAL_LOSS ┃ RAM_USAGE ┃ RUNTIME ┃
┡â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”┩
│ 26 │ 73 │ 1 │ 57 │ 15 │ 3 │ 24 │ 0.032092443108558653397377469219 │ swish │ 0.279 │ 1.526 │ 813.160 │ 262.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 29 │ 28 │ 118 │ 27 │ 1 │ 16 │ 0.085521344840526591912777121252 │ sigmoid │ 0.197 │ 1.725 │ 1005.060 │ 229.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 56 │ 52 │ 11 │ 23 │ 32 │ 2 │ 32 │ 0.058539896737784147262573242188 │ tanh │ 0.280 │ 1.691 │ 911.670 │ 274.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 46 │ 18 │ 92 │ 9 │ 4 │ 8 │ 0.011370722576975822795675163945 │ swish │ 0.303 │ 1.524 │ 845.470 │ 291.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 42 │ 59 │ 31 │ 73 │ 3 │ 3 │ 25 │ 0.069653043244034054670699163125 │ relu │ 0.303 │ 1.529 │ 977.120 │ 339.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 63 │ 40 │ 6 │ 6 │ 37 │ 1 │ 1 │ 0.022864626906812193785079045938 │ gelu │ 0.420 │ 1.309 │ 696.930 │ 180.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 79 │ 21 │ 103 │ 22 │ 2 │ 17 │ 0.045989227015525102615356445312 │ swish │ 0.303 │ 1.534 │ 1118.540 │ 399.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 31 │ 23 │ 16 │ 44 │ 20 │ 4 │ 9 │ 0.099017534591257574949629827188 │ gelu │ 0.303 │ 1.531 │ 762.970 │ 234.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 55 │ 23 │ 16 │ 30 │ 4 │ 28 │ 0.068392300978302955627441406250 │ leaky_relu │ 0.246 │ 5858663071744.000 │ 894.300 │ 456.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 43 │ 14 │ 67 │ 12 │ 2 │ 4 │ 0.015556015353649855353923570078 │ gelu │ 0.279 │ 1.526 │ 804.710 │ 198.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 68 │ 29 │ 34 │ 6 │ 1 │ 20 │ 0.040968670696020129118330999063 │ sigmoid │ 0.303 │ 1.534 │ 907.450 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 34 │ 8 │ 109 │ 33 │ 3 │ 12 │ 0.087558580841869126931698019689 │ tanh │ 0.303 │ 2.845 │ 778.440 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 45 │ 75 │ 9 │ 128 │ 38 │ 4 │ 21 │ 0.031033891625702383215701374297 │ gelu │ 0.303 │ 1.528 │ 1104.600 │ 321.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 51 │ 27 │ 20 │ 51 │ 2 │ 2 │ 13 │ 0.078010566998273134231567382812 │ relu │ 0.303 │ 1.531 │ 805.540 │ 141.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 62 │ 3 │ 82 │ 17 │ 1 │ 29 │ 0.053330907039344316311613170001 │ relu │ 0.303 │ 1.558 │ 976.760 │ 222.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 36 │ 26 │ 29 │ 25 │ 3 │ 5 │ 0.000100226048380136497999680356 │ tanh │ 0.609 │ 1.154 │ 760.960 │ 282.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 23 │ 65 │ 13 │ 97 │ 10 │ 2 │ 15 │ 0.050486355926841502972379771563 │ swish │ 0.279 │ 1.554 │ 825.030 │ 208.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 75 │ 37 │ 24 │ 46 │ 32 │ 4 │ 23 │ 0.003896919637918472376775236299 │ relu │ 0.303 │ 1.525 │ 955.340 │ 468.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 75 │ 7 │ 79 │ 26 │ 3 │ 7 │ 0.027652088087052106857299804688 │ sigmoid │ 0.303 │ 1.529 │ 826.340 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 43 │ 24 │ 30 │ 4 │ 13 │ 1 │ 31 │ 0.080489044263958933744795842813 │ gelu │ 0.279 │ 1.550 │ 822.980 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 38 │ 66 │ 19 │ 17 │ 18 │ 2 │ 2 │ 0.038027142826467755232222600625 │ sigmoid │ 0.279 │ 1.532 │ 758.970 │ 133.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 59 │ 32 │ 10 │ 94 │ 21 │ 4 │ 26 │ 0.091256962530314927883878795001 │ tanh │ 0.258 │ 2.625 │ 918.890 │ 328.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 68 │ 56 │ 25 │ 63 │ 37 │ 3 │ 10 │ 0.065109023917466410380505692501 │ swish │ 0.303 │ 1.526 │ 917.460 │ 393.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 28 │ 46 │ 4 │ 116 │ 5 │ 1 │ 18 │ 0.018131302483379841544719468516 │ relu │ 0.452 │ 1.873 │ 790.060 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 78 │ 27 │ 88 │ 35 │ 1 │ 3 │ 0.048442378267645837264243624531 │ tanh │ 0.210 │ 2.099 │ 815.840 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 27 │ 7 │ 3 │ 27 │ 0.095612217020243417398006613439 │ swish │ 0.279 │ 1.539 │ 790.670 │ 240.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 61 │ 17 │ 122 │ 11 │ 4 │ 11 │ 0.073424696922302246093750000000 │ sigmoid │ 0.279 │ 1.629 │ 980.280 │ 245.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 40 │ 41 │ 12 │ 53 │ 28 │ 2 │ 19 │ 0.019996275659650564193725585938 │ relu │ 0.303 │ 1.534 │ 776.000 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 52 │ 5 │ 40 │ 23 │ 1 │ 14 │ 0.061091574467718602614585421406 │ leaky_relu │ 0.445 │ 1.690 │ 768.340 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 50 │ 32 │ 107 │ 16 │ 3 │ 22 │ 0.008062214870005846717448960703 │ relu │ 0.303 │ 1.524 │ 1089.670 │ 642.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 70 │ 15 │ 10 │ 2 │ 4 │ 6 │ 0.035767120681703089279945828594 │ tanh │ 0.352 │ 1.488 │ 875.730 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 29 │ 22 │ 69 │ 40 │ 2 │ 30 │ 0.082554681692272424697875976562 │ swish │ 0.279 │ 1.530 │ 838.340 │ 138.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 50 │ 29 │ 114 │ 19 │ 2 │ 7 │ 0.093912466894835233688354492188 │ relu │ 0.303 │ 1.537 │ 843.060 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 79 │ 48 │ 8 │ 61 │ 23 │ 4 │ 31 │ 0.047139210626482963562011718750 │ gelu │ 0.279 │ 1.589 │ 1036.950 │ 410.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 23 │ 96 │ 36 │ 3 │ 15 │ 0.021726746018975975210940632110 │ leaky_relu │ 0.315 │ 138027384832.000 │ 1014.660 │ 1113.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 49 │ 31 │ 14 │ 19 │ 4 │ 1 │ 23 │ 0.074745996296405797787443248126 │ swish │ 0.303 │ 1.534 │ 758.290 │ 241.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 39 │ 80 │ 3 │ 2 │ 9 │ 2 │ 10 │ 0.006270900089293718511485042910 │ sigmoid │ 0.303 │ 1.524 │ 739.280 │ 154.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 22 │ 26 │ 77 │ 31 │ 4 │ 18 │ 0.059684635140001773834228515625 │ leaky_relu │ 0.099 │ 1.833 │ 785.060 │ 318.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 70 │ 59 │ 9 │ 48 │ 27 │ 3 │ 2 │ 0.084364485833793884106412974688 │ tanh │ 0.303 │ 1.530 │ 857.080 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 40 │ 20 │ 99 │ 14 │ 1 │ 26 │ 0.037204374931752680344398953594 │ sigmoid │ 0.595 │ 1.176 │ 731.900 │ 192.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 29 │ 68 │ 11 │ 71 │ 24 │ 1 │ 11 │ 0.005212353914976120342061882695 │ gelu │ 0.123 │ 3.400 │ 839.850 │ 260.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 34 │ 18 │ 12 │ 18 │ 3 │ 19 │ 0.052173863258212806182090304219 │ leaky_relu │ 0.304 │ 1.747 │ 733.750 │ 90.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 58 │ 55 │ 1 │ 105 │ 1 │ 4 │ 3 │ 0.079155502095818522367842717813 │ swish │ 0.243 │ 1.728 │ 910.060 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 44 │ 28 │ 38 │ 39 │ 2 │ 27 │ 0.025933884363621474006267320078 │ tanh │ 0.303 │ 1.535 │ 794.860 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 63 │ 21 │ 55 │ 34 │ 1 │ 6 │ 0.092651730589568617735274358438 │ relu │ 0.351 │ 468589936640.000 │ 1022.710 │ 320.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 35 │ 16 │ 124 │ 6 │ 3 │ 30 │ 0.039830605033785104751586914062 │ leaky_relu │ 0.279 │ 1.539 │ 965.950 │ 317.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 73 │ 77 │ 31 │ 25 │ 13 │ 4 │ 14 │ 0.016706195659935474395751953125 │ leaky_relu │ 0.279 │ 1.532 │ 755.600 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 22 │ 25 │ 6 │ 86 │ 30 │ 2 │ 22 │ 0.063287048507481818981901255938 │ gelu │ 0.303 │ 1.536 │ 881.800 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 73 │ 17 │ 42 │ 5 │ 3 │ 32 │ 0.013862413447350264983359835469 │ gelu │ 0.290 │ 2.359 │ 793.410 │ 243.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 25 │ 12 │ 101 │ 38 │ 1 │ 8 │ 0.067082985118031498994461969687 │ tanh │ 0.303 │ 1.539 │ 905.330 │ 508.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 64 │ 27 │ 8 │ 21 │ 2 │ 24 │ 0.089270695950835948773161021563 │ sigmoid │ 0.279 │ 1.537 │ 805.340 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 38 │ 2 │ 75 │ 19 │ 4 │ 16 │ 0.042308325320482259579435435626 │ relu │ 0.303 │ 1.585 │ 871.550 │ 428.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 57 │ 15 │ 90 │ 14 │ 3 │ 17 │ 0.076213193405419599191219504064 │ sigmoid │ 0.279 │ 1.530 │ 815.110 │ 196.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 45 │ 22 │ 21 │ 26 │ 1 │ 9 │ 0.029633011110126974280154499297 │ swish │ 0.552 │ 4.712 │ 1098.140 │ 429.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 67 │ 66 │ 5 │ 120 │ 33 │ 2 │ 25 │ 0.001928296033293008891057462861 │ leaky_relu │ 0.298 │ 2.005 │ 804.020 │ 176.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 32 │ 32 │ 59 │ 10 │ 4 │ 1 │ 0.054749895446002484755698702656 │ tanh │ 0.302 │ 1.754 │ 836.380 │ 382.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 32 │ 60 │ 7 │ 31 │ 40 │ 4 │ 20 │ 0.086818417906761174984708873126 │ tanh │ 0.433 │ 1.365 │ 1017.420 │ 300.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 42 │ 30 │ 84 │ 3 │ 2 │ 12 │ 0.033798312302678823471069335938 │ leaky_relu │ 0.303 │ 1.527 │ 809.000 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 77 │ 13 │ 49 │ 16 │ 1 │ 28 │ 0.010043334588408470500753288945 │ swish │ 0.357 │ 1.671 │ 1109.150 │ 370.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 21 │ 24 │ 126 │ 24 │ 3 │ 4 │ 0.056815538834780458798956459532 │ gelu │ 0.279 │ 1312.504 │ 708.390 │ 298.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 47 │ 71 │ 25 │ 111 │ 29 │ 4 │ 29 │ 0.024277654848992826636111530547 │ tanh │ 0.279 │ 1.543 │ 762.670 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 28 │ 4 │ 36 │ 11 │ 2 │ 5 │ 0.071438245568424471598767411251 │ leaky_relu │ 0.303 │ 1.530 │ 828.440 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 77 │ 54 │ 19 │ 65 │ 8 │ 1 │ 21 │ 0.097586374916136267576582952188 │ leaky_relu │ 0.279 │ 1.532 │ 857.770 │ 143.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 25 │ 48 │ 10 │ 14 │ 35 │ 3 │ 13 │ 0.044173304457217454910278320312 │ sigmoid │ 0.611 │ 2.392 │ 792.520 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 26 │ 60 │ 20 │ 83 │ 23 │ 4 │ 10 │ 0.043133443035185341229986732969 │ leaky_relu │ 0.303 │ 1.540 │ 829.210 │ 179.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 39 │ 9 │ 32 │ 20 │ 2 │ 18 │ 0.090107254404574635420210881875 │ sigmoid │ 0.279 │ 1.533 │ 1048.380 │ 344.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 80 │ 26 │ 125 │ 4 │ 1 │ 2 │ 0.066258624754846104365491044064 │ swish │ 0.365 │ 1.458 │ 768.340 │ 257.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 22 │ 3 │ 50 │ 36 │ 3 │ 26 │ 0.013025085721164942481609116953 │ relu │ 0.303 │ 1.526 │ 820.360 │ 353.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 72 │ 14 │ 35 │ 31 │ 4 │ 7 │ 0.055487286671996122189298716876 │ swish │ 0.279 │ 1.529 │ 863.480 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 62 │ 30 │ 23 │ 112 │ 9 │ 2 │ 31 │ 0.002654240559786558237981290986 │ relu │ 0.303 │ 1.543 │ 882.160 │ 190.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 51 │ 8 │ 13 │ 15 │ 1 │ 15 │ 0.028894874453544619474776311563 │ tanh │ 0.279 │ 49438.102 │ 736.590 │ 139.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 47 │ 29 │ 66 │ 28 │ 3 │ 23 │ 0.075488030072301634532117020626 │ leaky_relu │ 0.279 │ 107100766208.000 │ 775.440 │ 146.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 76 │ 6 │ 102 │ 18 │ 3 │ 6 │ 0.057553675118833781676475069844 │ gelu │ 0.175 │ 2.014 │ 760.710 │ 140.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 26 │ 31 │ 41 │ 25 │ 1 │ 30 │ 0.010768498294055461883544921875 │ relu │ 0.236 │ 2.202 │ 658.880 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 63 │ 16 │ 76 │ 39 │ 2 │ 14 │ 0.033060920704156164517950600157 │ sigmoid │ 0.099 │ 2.001 │ 696.970 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 64 │ 10 │ 66 │ 27 │ 1 │ 1 │ 0.014134787988107858774933234258 │ leaky_relu │ 0.679 │ 2.066 │ 754.820 │ 209.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 18 │ 14 │ 37 │ 1 │ 6 │ 0.059086523516428922364607245754 │ leaky_relu │ 0.289 │ 175.348 │ 748.030 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 31 │ 1 │ 106 │ 31 │ 1 │ 18 │ 0.000000000000000000000000000000 │ leaky_relu │ 0.212 │ 1.806 │ 709.750 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 65 │ 1 │ 47 │ 26 │ 1 │ 5 │ 0.000000000000000000000000000000 │ relu │ 0.238 │ 1.877 │ 661.450 │ 62.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 55 │ 6 │ 75 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ sigmoid │ 0.152 │ 1.811 │ 702.780 │ 111.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 51 │ 2 │ 57 │ 31 │ 1 │ 15 │ 0.007317698416411802693481991611 │ leaky_relu │ 0.176 │ 2.011 │ 660.640 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 32 │ 13 │ 14 │ 15 │ 1 │ 26 │ 0.064650171459835203968680161779 │ leaky_relu │ 0.755 │ 1.848 │ 765.720 │ 178.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 50 │ 2 │ 70 │ 36 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.279 │ 2.005 │ 679.560 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 65 │ 1 │ 65 │ 1 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.664 │ 1.132 │ 692.040 │ 181.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 21 │ 3 │ 23 │ 4 │ 3 │ 12 │ 0.000000000000000000000000000000 │ tanh │ 0.170 │ 2.109 │ 739.380 │ 137.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 1 │ 68 │ 11 │ 1 │ 2 │ 0.000000000000000000000000000000 │ gelu │ 0.099 │ 1.914 │ 726.300 │ 199.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 50 │ 42 │ 1 │ 66 │ 24 │ 1 │ 9 │ 0.002993842920352664770111683623 │ leaky_relu │ 0.161 │ 2.389 │ 696.000 │ 126.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 35 │ 54 │ 1 │ 69 │ 5 │ 1 │ 3 │ 0.000000000000000000000000000000 │ sigmoid │ 0.136 │ 1.859 │ 729.690 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 20 │ 1 │ 80 │ 15 │ 3 │ 1 │ 0.003689927636538623424017346863 │ sigmoid │ 0.164 │ 1.764 │ 724.020 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 72 │ 1 │ 85 │ 9 │ 1 │ 1 │ 0.000000000000000000000000000000 │ relu │ 0.356 │ 2.032 │ 669.910 │ 61.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 25 │ 19 │ 3 │ 14 │ 0.000000000000000000000000000000 │ sigmoid │ 0.668 │ 1.216 │ 713.320 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 68 │ 1 │ 78 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.721 │ 1.117 │ 715.330 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 59 │ 1 │ 63 │ 37 │ 1 │ 7 │ 0.000000000000000000000000000000 │ sigmoid │ 0.474 │ 2.046 │ 678.550 │ 173.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 61 │ 1 │ 70 │ 40 │ 1 │ 16 │ 0.000000000000000000000000000000 │ sigmoid │ 0.102 │ 1.870 │ 798.720 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 20 │ 1 │ 95 │ 1 │ 3 │ 9 │ 0.025910456544662494038355760040 │ sigmoid │ 0.197 │ 1.634 │ 782.010 │ 123.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 21 │ 4 │ 85 │ 39 │ 3 │ 14 │ 0.007229049290819482623260405774 │ swish │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 23 │ 4 │ 37 │ 38 │ 3 │ 13 │ 0.000555745820291206446724097123 │ gelu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 34 │ 1 │ 4 │ 34 │ 1 │ 9 │ 0.055110439702635696801458209393 │ leaky_relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 10 │ 93 │ 24 │ 1 │ 20 │ 0.000000000000000000000000000000 │ relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 31 │ 11 │ 102 │ 5 │ 1 │ 8 │ 0.000000000000000000000000000000 │ leaky_relu │ │ │ │ │
└───────┴────────┴───────┴─────────────┴────────┴──────┴──────────────┴──────────────────────────────────┴────────────┴──────────────┴───────────────────┴───────────┴──────────┘
Pareto-Front for VAL_LOSS/RAM_USAGE:
â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”┓
┃ width ┃ height ┃ dense ┃ dense_units ┃ epochs ┃ conv ┃ conv_filters ┃ learning_rate ┃ activation ┃ VAL_ACCURACY ┃ VAL_LOSS ┃ RAM_USAGE ┃ RUNTIME ┃
┡â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”┩
│ 26 │ 73 │ 1 │ 57 │ 15 │ 3 │ 24 │ 0.032092443108558653397377469219 │ swish │ 0.279 │ 1.526 │ 813.160 │ 262.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 29 │ 28 │ 118 │ 27 │ 1 │ 16 │ 0.085521344840526591912777121252 │ sigmoid │ 0.197 │ 1.725 │ 1005.060 │ 229.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 56 │ 52 │ 11 │ 23 │ 32 │ 2 │ 32 │ 0.058539896737784147262573242188 │ tanh │ 0.280 │ 1.691 │ 911.670 │ 274.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 46 │ 18 │ 92 │ 9 │ 4 │ 8 │ 0.011370722576975822795675163945 │ swish │ 0.303 │ 1.524 │ 845.470 │ 291.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 42 │ 59 │ 31 │ 73 │ 3 │ 3 │ 25 │ 0.069653043244034054670699163125 │ relu │ 0.303 │ 1.529 │ 977.120 │ 339.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 63 │ 40 │ 6 │ 6 │ 37 │ 1 │ 1 │ 0.022864626906812193785079045938 │ gelu │ 0.420 │ 1.309 │ 696.930 │ 180.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 79 │ 21 │ 103 │ 22 │ 2 │ 17 │ 0.045989227015525102615356445312 │ swish │ 0.303 │ 1.534 │ 1118.540 │ 399.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 31 │ 23 │ 16 │ 44 │ 20 │ 4 │ 9 │ 0.099017534591257574949629827188 │ gelu │ 0.303 │ 1.531 │ 762.970 │ 234.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 55 │ 23 │ 16 │ 30 │ 4 │ 28 │ 0.068392300978302955627441406250 │ leaky_relu │ 0.246 │ 5858663071744.000 │ 894.300 │ 456.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 43 │ 14 │ 67 │ 12 │ 2 │ 4 │ 0.015556015353649855353923570078 │ gelu │ 0.279 │ 1.526 │ 804.710 │ 198.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 68 │ 29 │ 34 │ 6 │ 1 │ 20 │ 0.040968670696020129118330999063 │ sigmoid │ 0.303 │ 1.534 │ 907.450 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 34 │ 8 │ 109 │ 33 │ 3 │ 12 │ 0.087558580841869126931698019689 │ tanh │ 0.303 │ 2.845 │ 778.440 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 45 │ 75 │ 9 │ 128 │ 38 │ 4 │ 21 │ 0.031033891625702383215701374297 │ gelu │ 0.303 │ 1.528 │ 1104.600 │ 321.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 51 │ 27 │ 20 │ 51 │ 2 │ 2 │ 13 │ 0.078010566998273134231567382812 │ relu │ 0.303 │ 1.531 │ 805.540 │ 141.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 62 │ 3 │ 82 │ 17 │ 1 │ 29 │ 0.053330907039344316311613170001 │ relu │ 0.303 │ 1.558 │ 976.760 │ 222.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 36 │ 26 │ 29 │ 25 │ 3 │ 5 │ 0.000100226048380136497999680356 │ tanh │ 0.609 │ 1.154 │ 760.960 │ 282.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 23 │ 65 │ 13 │ 97 │ 10 │ 2 │ 15 │ 0.050486355926841502972379771563 │ swish │ 0.279 │ 1.554 │ 825.030 │ 208.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 75 │ 37 │ 24 │ 46 │ 32 │ 4 │ 23 │ 0.003896919637918472376775236299 │ relu │ 0.303 │ 1.525 │ 955.340 │ 468.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 75 │ 7 │ 79 │ 26 │ 3 │ 7 │ 0.027652088087052106857299804688 │ sigmoid │ 0.303 │ 1.529 │ 826.340 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 43 │ 24 │ 30 │ 4 │ 13 │ 1 │ 31 │ 0.080489044263958933744795842813 │ gelu │ 0.279 │ 1.550 │ 822.980 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 38 │ 66 │ 19 │ 17 │ 18 │ 2 │ 2 │ 0.038027142826467755232222600625 │ sigmoid │ 0.279 │ 1.532 │ 758.970 │ 133.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 59 │ 32 │ 10 │ 94 │ 21 │ 4 │ 26 │ 0.091256962530314927883878795001 │ tanh │ 0.258 │ 2.625 │ 918.890 │ 328.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 68 │ 56 │ 25 │ 63 │ 37 │ 3 │ 10 │ 0.065109023917466410380505692501 │ swish │ 0.303 │ 1.526 │ 917.460 │ 393.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 28 │ 46 │ 4 │ 116 │ 5 │ 1 │ 18 │ 0.018131302483379841544719468516 │ relu │ 0.452 │ 1.873 │ 790.060 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 78 │ 27 │ 88 │ 35 │ 1 │ 3 │ 0.048442378267645837264243624531 │ tanh │ 0.210 │ 2.099 │ 815.840 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 27 │ 7 │ 3 │ 27 │ 0.095612217020243417398006613439 │ swish │ 0.279 │ 1.539 │ 790.670 │ 240.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 61 │ 17 │ 122 │ 11 │ 4 │ 11 │ 0.073424696922302246093750000000 │ sigmoid │ 0.279 │ 1.629 │ 980.280 │ 245.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 40 │ 41 │ 12 │ 53 │ 28 │ 2 │ 19 │ 0.019996275659650564193725585938 │ relu │ 0.303 │ 1.534 │ 776.000 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 52 │ 5 │ 40 │ 23 │ 1 │ 14 │ 0.061091574467718602614585421406 │ leaky_relu │ 0.445 │ 1.690 │ 768.340 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 50 │ 32 │ 107 │ 16 │ 3 │ 22 │ 0.008062214870005846717448960703 │ relu │ 0.303 │ 1.524 │ 1089.670 │ 642.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 70 │ 15 │ 10 │ 2 │ 4 │ 6 │ 0.035767120681703089279945828594 │ tanh │ 0.352 │ 1.488 │ 875.730 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 29 │ 22 │ 69 │ 40 │ 2 │ 30 │ 0.082554681692272424697875976562 │ swish │ 0.279 │ 1.530 │ 838.340 │ 138.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 50 │ 29 │ 114 │ 19 │ 2 │ 7 │ 0.093912466894835233688354492188 │ relu │ 0.303 │ 1.537 │ 843.060 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 79 │ 48 │ 8 │ 61 │ 23 │ 4 │ 31 │ 0.047139210626482963562011718750 │ gelu │ 0.279 │ 1.589 │ 1036.950 │ 410.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 23 │ 96 │ 36 │ 3 │ 15 │ 0.021726746018975975210940632110 │ leaky_relu │ 0.315 │ 138027384832.000 │ 1014.660 │ 1113.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 49 │ 31 │ 14 │ 19 │ 4 │ 1 │ 23 │ 0.074745996296405797787443248126 │ swish │ 0.303 │ 1.534 │ 758.290 │ 241.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 39 │ 80 │ 3 │ 2 │ 9 │ 2 │ 10 │ 0.006270900089293718511485042910 │ sigmoid │ 0.303 │ 1.524 │ 739.280 │ 154.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 22 │ 26 │ 77 │ 31 │ 4 │ 18 │ 0.059684635140001773834228515625 │ leaky_relu │ 0.099 │ 1.833 │ 785.060 │ 318.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 70 │ 59 │ 9 │ 48 │ 27 │ 3 │ 2 │ 0.084364485833793884106412974688 │ tanh │ 0.303 │ 1.530 │ 857.080 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 40 │ 20 │ 99 │ 14 │ 1 │ 26 │ 0.037204374931752680344398953594 │ sigmoid │ 0.595 │ 1.176 │ 731.900 │ 192.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 29 │ 68 │ 11 │ 71 │ 24 │ 1 │ 11 │ 0.005212353914976120342061882695 │ gelu │ 0.123 │ 3.400 │ 839.850 │ 260.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 34 │ 18 │ 12 │ 18 │ 3 │ 19 │ 0.052173863258212806182090304219 │ leaky_relu │ 0.304 │ 1.747 │ 733.750 │ 90.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 58 │ 55 │ 1 │ 105 │ 1 │ 4 │ 3 │ 0.079155502095818522367842717813 │ swish │ 0.243 │ 1.728 │ 910.060 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 44 │ 28 │ 38 │ 39 │ 2 │ 27 │ 0.025933884363621474006267320078 │ tanh │ 0.303 │ 1.535 │ 794.860 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 63 │ 21 │ 55 │ 34 │ 1 │ 6 │ 0.092651730589568617735274358438 │ relu │ 0.351 │ 468589936640.000 │ 1022.710 │ 320.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 35 │ 16 │ 124 │ 6 │ 3 │ 30 │ 0.039830605033785104751586914062 │ leaky_relu │ 0.279 │ 1.539 │ 965.950 │ 317.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 73 │ 77 │ 31 │ 25 │ 13 │ 4 │ 14 │ 0.016706195659935474395751953125 │ leaky_relu │ 0.279 │ 1.532 │ 755.600 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 22 │ 25 │ 6 │ 86 │ 30 │ 2 │ 22 │ 0.063287048507481818981901255938 │ gelu │ 0.303 │ 1.536 │ 881.800 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 73 │ 17 │ 42 │ 5 │ 3 │ 32 │ 0.013862413447350264983359835469 │ gelu │ 0.290 │ 2.359 │ 793.410 │ 243.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 25 │ 12 │ 101 │ 38 │ 1 │ 8 │ 0.067082985118031498994461969687 │ tanh │ 0.303 │ 1.539 │ 905.330 │ 508.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 64 │ 27 │ 8 │ 21 │ 2 │ 24 │ 0.089270695950835948773161021563 │ sigmoid │ 0.279 │ 1.537 │ 805.340 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 38 │ 2 │ 75 │ 19 │ 4 │ 16 │ 0.042308325320482259579435435626 │ relu │ 0.303 │ 1.585 │ 871.550 │ 428.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 57 │ 15 │ 90 │ 14 │ 3 │ 17 │ 0.076213193405419599191219504064 │ sigmoid │ 0.279 │ 1.530 │ 815.110 │ 196.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 45 │ 22 │ 21 │ 26 │ 1 │ 9 │ 0.029633011110126974280154499297 │ swish │ 0.552 │ 4.712 │ 1098.140 │ 429.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 67 │ 66 │ 5 │ 120 │ 33 │ 2 │ 25 │ 0.001928296033293008891057462861 │ leaky_relu │ 0.298 │ 2.005 │ 804.020 │ 176.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 32 │ 32 │ 59 │ 10 │ 4 │ 1 │ 0.054749895446002484755698702656 │ tanh │ 0.302 │ 1.754 │ 836.380 │ 382.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 32 │ 60 │ 7 │ 31 │ 40 │ 4 │ 20 │ 0.086818417906761174984708873126 │ tanh │ 0.433 │ 1.365 │ 1017.420 │ 300.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 42 │ 30 │ 84 │ 3 │ 2 │ 12 │ 0.033798312302678823471069335938 │ leaky_relu │ 0.303 │ 1.527 │ 809.000 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 77 │ 13 │ 49 │ 16 │ 1 │ 28 │ 0.010043334588408470500753288945 │ swish │ 0.357 │ 1.671 │ 1109.150 │ 370.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 21 │ 24 │ 126 │ 24 │ 3 │ 4 │ 0.056815538834780458798956459532 │ gelu │ 0.279 │ 1312.504 │ 708.390 │ 298.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 47 │ 71 │ 25 │ 111 │ 29 │ 4 │ 29 │ 0.024277654848992826636111530547 │ tanh │ 0.279 │ 1.543 │ 762.670 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 28 │ 4 │ 36 │ 11 │ 2 │ 5 │ 0.071438245568424471598767411251 │ leaky_relu │ 0.303 │ 1.530 │ 828.440 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 77 │ 54 │ 19 │ 65 │ 8 │ 1 │ 21 │ 0.097586374916136267576582952188 │ leaky_relu │ 0.279 │ 1.532 │ 857.770 │ 143.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 25 │ 48 │ 10 │ 14 │ 35 │ 3 │ 13 │ 0.044173304457217454910278320312 │ sigmoid │ 0.611 │ 2.392 │ 792.520 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 26 │ 60 │ 20 │ 83 │ 23 │ 4 │ 10 │ 0.043133443035185341229986732969 │ leaky_relu │ 0.303 │ 1.540 │ 829.210 │ 179.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 39 │ 9 │ 32 │ 20 │ 2 │ 18 │ 0.090107254404574635420210881875 │ sigmoid │ 0.279 │ 1.533 │ 1048.380 │ 344.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 80 │ 26 │ 125 │ 4 │ 1 │ 2 │ 0.066258624754846104365491044064 │ swish │ 0.365 │ 1.458 │ 768.340 │ 257.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 22 │ 3 │ 50 │ 36 │ 3 │ 26 │ 0.013025085721164942481609116953 │ relu │ 0.303 │ 1.526 │ 820.360 │ 353.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 72 │ 14 │ 35 │ 31 │ 4 │ 7 │ 0.055487286671996122189298716876 │ swish │ 0.279 │ 1.529 │ 863.480 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 62 │ 30 │ 23 │ 112 │ 9 │ 2 │ 31 │ 0.002654240559786558237981290986 │ relu │ 0.303 │ 1.543 │ 882.160 │ 190.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 51 │ 8 │ 13 │ 15 │ 1 │ 15 │ 0.028894874453544619474776311563 │ tanh │ 0.279 │ 49438.102 │ 736.590 │ 139.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 47 │ 29 │ 66 │ 28 │ 3 │ 23 │ 0.075488030072301634532117020626 │ leaky_relu │ 0.279 │ 107100766208.000 │ 775.440 │ 146.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 76 │ 6 │ 102 │ 18 │ 3 │ 6 │ 0.057553675118833781676475069844 │ gelu │ 0.175 │ 2.014 │ 760.710 │ 140.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 26 │ 31 │ 41 │ 25 │ 1 │ 30 │ 0.010768498294055461883544921875 │ relu │ 0.236 │ 2.202 │ 658.880 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 63 │ 16 │ 76 │ 39 │ 2 │ 14 │ 0.033060920704156164517950600157 │ sigmoid │ 0.099 │ 2.001 │ 696.970 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 64 │ 10 │ 66 │ 27 │ 1 │ 1 │ 0.014134787988107858774933234258 │ leaky_relu │ 0.679 │ 2.066 │ 754.820 │ 209.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 18 │ 14 │ 37 │ 1 │ 6 │ 0.059086523516428922364607245754 │ leaky_relu │ 0.289 │ 175.348 │ 748.030 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 31 │ 1 │ 106 │ 31 │ 1 │ 18 │ 0.000000000000000000000000000000 │ leaky_relu │ 0.212 │ 1.806 │ 709.750 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 65 │ 1 │ 47 │ 26 │ 1 │ 5 │ 0.000000000000000000000000000000 │ relu │ 0.238 │ 1.877 │ 661.450 │ 62.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 55 │ 6 │ 75 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ sigmoid │ 0.152 │ 1.811 │ 702.780 │ 111.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 51 │ 2 │ 57 │ 31 │ 1 │ 15 │ 0.007317698416411802693481991611 │ leaky_relu │ 0.176 │ 2.011 │ 660.640 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 32 │ 13 │ 14 │ 15 │ 1 │ 26 │ 0.064650171459835203968680161779 │ leaky_relu │ 0.755 │ 1.848 │ 765.720 │ 178.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 50 │ 2 │ 70 │ 36 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.279 │ 2.005 │ 679.560 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 65 │ 1 │ 65 │ 1 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.664 │ 1.132 │ 692.040 │ 181.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 21 │ 3 │ 23 │ 4 │ 3 │ 12 │ 0.000000000000000000000000000000 │ tanh │ 0.170 │ 2.109 │ 739.380 │ 137.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 1 │ 68 │ 11 │ 1 │ 2 │ 0.000000000000000000000000000000 │ gelu │ 0.099 │ 1.914 │ 726.300 │ 199.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 50 │ 42 │ 1 │ 66 │ 24 │ 1 │ 9 │ 0.002993842920352664770111683623 │ leaky_relu │ 0.161 │ 2.389 │ 696.000 │ 126.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 35 │ 54 │ 1 │ 69 │ 5 │ 1 │ 3 │ 0.000000000000000000000000000000 │ sigmoid │ 0.136 │ 1.859 │ 729.690 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 20 │ 1 │ 80 │ 15 │ 3 │ 1 │ 0.003689927636538623424017346863 │ sigmoid │ 0.164 │ 1.764 │ 724.020 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 72 │ 1 │ 85 │ 9 │ 1 │ 1 │ 0.000000000000000000000000000000 │ relu │ 0.356 │ 2.032 │ 669.910 │ 61.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 25 │ 19 │ 3 │ 14 │ 0.000000000000000000000000000000 │ sigmoid │ 0.668 │ 1.216 │ 713.320 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 68 │ 1 │ 78 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.721 │ 1.117 │ 715.330 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 59 │ 1 │ 63 │ 37 │ 1 │ 7 │ 0.000000000000000000000000000000 │ sigmoid │ 0.474 │ 2.046 │ 678.550 │ 173.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 61 │ 1 │ 70 │ 40 │ 1 │ 16 │ 0.000000000000000000000000000000 │ sigmoid │ 0.102 │ 1.870 │ 798.720 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 20 │ 1 │ 95 │ 1 │ 3 │ 9 │ 0.025910456544662494038355760040 │ sigmoid │ 0.197 │ 1.634 │ 782.010 │ 123.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 21 │ 4 │ 85 │ 39 │ 3 │ 14 │ 0.007229049290819482623260405774 │ swish │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 23 │ 4 │ 37 │ 38 │ 3 │ 13 │ 0.000555745820291206446724097123 │ gelu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 34 │ 1 │ 4 │ 34 │ 1 │ 9 │ 0.055110439702635696801458209393 │ leaky_relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 10 │ 93 │ 24 │ 1 │ 20 │ 0.000000000000000000000000000000 │ relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 31 │ 11 │ 102 │ 5 │ 1 │ 8 │ 0.000000000000000000000000000000 │ leaky_relu │ │ │ │ │
└───────┴────────┴───────┴─────────────┴────────┴──────┴──────────────┴──────────────────────────────────┴────────────┴──────────────┴───────────────────┴───────────┴──────────┘
Pareto-Front for VAL_LOSS/RUNTIME:
â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”┓
┃ width ┃ height ┃ dense ┃ dense_units ┃ epochs ┃ conv ┃ conv_filters ┃ learning_rate ┃ activation ┃ VAL_ACCURACY ┃ VAL_LOSS ┃ RAM_USAGE ┃ RUNTIME ┃
┡â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”┩
│ 26 │ 73 │ 1 │ 57 │ 15 │ 3 │ 24 │ 0.032092443108558653397377469219 │ swish │ 0.279 │ 1.526 │ 813.160 │ 262.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 29 │ 28 │ 118 │ 27 │ 1 │ 16 │ 0.085521344840526591912777121252 │ sigmoid │ 0.197 │ 1.725 │ 1005.060 │ 229.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 56 │ 52 │ 11 │ 23 │ 32 │ 2 │ 32 │ 0.058539896737784147262573242188 │ tanh │ 0.280 │ 1.691 │ 911.670 │ 274.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 46 │ 18 │ 92 │ 9 │ 4 │ 8 │ 0.011370722576975822795675163945 │ swish │ 0.303 │ 1.524 │ 845.470 │ 291.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 42 │ 59 │ 31 │ 73 │ 3 │ 3 │ 25 │ 0.069653043244034054670699163125 │ relu │ 0.303 │ 1.529 │ 977.120 │ 339.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 63 │ 40 │ 6 │ 6 │ 37 │ 1 │ 1 │ 0.022864626906812193785079045938 │ gelu │ 0.420 │ 1.309 │ 696.930 │ 180.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 79 │ 21 │ 103 │ 22 │ 2 │ 17 │ 0.045989227015525102615356445312 │ swish │ 0.303 │ 1.534 │ 1118.540 │ 399.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 31 │ 23 │ 16 │ 44 │ 20 │ 4 │ 9 │ 0.099017534591257574949629827188 │ gelu │ 0.303 │ 1.531 │ 762.970 │ 234.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 55 │ 23 │ 16 │ 30 │ 4 │ 28 │ 0.068392300978302955627441406250 │ leaky_relu │ 0.246 │ 5858663071744.000 │ 894.300 │ 456.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 43 │ 14 │ 67 │ 12 │ 2 │ 4 │ 0.015556015353649855353923570078 │ gelu │ 0.279 │ 1.526 │ 804.710 │ 198.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 68 │ 29 │ 34 │ 6 │ 1 │ 20 │ 0.040968670696020129118330999063 │ sigmoid │ 0.303 │ 1.534 │ 907.450 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 34 │ 8 │ 109 │ 33 │ 3 │ 12 │ 0.087558580841869126931698019689 │ tanh │ 0.303 │ 2.845 │ 778.440 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 45 │ 75 │ 9 │ 128 │ 38 │ 4 │ 21 │ 0.031033891625702383215701374297 │ gelu │ 0.303 │ 1.528 │ 1104.600 │ 321.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 51 │ 27 │ 20 │ 51 │ 2 │ 2 │ 13 │ 0.078010566998273134231567382812 │ relu │ 0.303 │ 1.531 │ 805.540 │ 141.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 62 │ 3 │ 82 │ 17 │ 1 │ 29 │ 0.053330907039344316311613170001 │ relu │ 0.303 │ 1.558 │ 976.760 │ 222.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 36 │ 26 │ 29 │ 25 │ 3 │ 5 │ 0.000100226048380136497999680356 │ tanh │ 0.609 │ 1.154 │ 760.960 │ 282.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 23 │ 65 │ 13 │ 97 │ 10 │ 2 │ 15 │ 0.050486355926841502972379771563 │ swish │ 0.279 │ 1.554 │ 825.030 │ 208.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 75 │ 37 │ 24 │ 46 │ 32 │ 4 │ 23 │ 0.003896919637918472376775236299 │ relu │ 0.303 │ 1.525 │ 955.340 │ 468.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 75 │ 7 │ 79 │ 26 │ 3 │ 7 │ 0.027652088087052106857299804688 │ sigmoid │ 0.303 │ 1.529 │ 826.340 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 43 │ 24 │ 30 │ 4 │ 13 │ 1 │ 31 │ 0.080489044263958933744795842813 │ gelu │ 0.279 │ 1.550 │ 822.980 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 38 │ 66 │ 19 │ 17 │ 18 │ 2 │ 2 │ 0.038027142826467755232222600625 │ sigmoid │ 0.279 │ 1.532 │ 758.970 │ 133.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 59 │ 32 │ 10 │ 94 │ 21 │ 4 │ 26 │ 0.091256962530314927883878795001 │ tanh │ 0.258 │ 2.625 │ 918.890 │ 328.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 68 │ 56 │ 25 │ 63 │ 37 │ 3 │ 10 │ 0.065109023917466410380505692501 │ swish │ 0.303 │ 1.526 │ 917.460 │ 393.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 28 │ 46 │ 4 │ 116 │ 5 │ 1 │ 18 │ 0.018131302483379841544719468516 │ relu │ 0.452 │ 1.873 │ 790.060 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 78 │ 27 │ 88 │ 35 │ 1 │ 3 │ 0.048442378267645837264243624531 │ tanh │ 0.210 │ 2.099 │ 815.840 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 27 │ 7 │ 3 │ 27 │ 0.095612217020243417398006613439 │ swish │ 0.279 │ 1.539 │ 790.670 │ 240.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 61 │ 17 │ 122 │ 11 │ 4 │ 11 │ 0.073424696922302246093750000000 │ sigmoid │ 0.279 │ 1.629 │ 980.280 │ 245.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 40 │ 41 │ 12 │ 53 │ 28 │ 2 │ 19 │ 0.019996275659650564193725585938 │ relu │ 0.303 │ 1.534 │ 776.000 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 52 │ 5 │ 40 │ 23 │ 1 │ 14 │ 0.061091574467718602614585421406 │ leaky_relu │ 0.445 │ 1.690 │ 768.340 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 50 │ 32 │ 107 │ 16 │ 3 │ 22 │ 0.008062214870005846717448960703 │ relu │ 0.303 │ 1.524 │ 1089.670 │ 642.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 70 │ 15 │ 10 │ 2 │ 4 │ 6 │ 0.035767120681703089279945828594 │ tanh │ 0.352 │ 1.488 │ 875.730 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 29 │ 22 │ 69 │ 40 │ 2 │ 30 │ 0.082554681692272424697875976562 │ swish │ 0.279 │ 1.530 │ 838.340 │ 138.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 50 │ 29 │ 114 │ 19 │ 2 │ 7 │ 0.093912466894835233688354492188 │ relu │ 0.303 │ 1.537 │ 843.060 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 79 │ 48 │ 8 │ 61 │ 23 │ 4 │ 31 │ 0.047139210626482963562011718750 │ gelu │ 0.279 │ 1.589 │ 1036.950 │ 410.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 23 │ 96 │ 36 │ 3 │ 15 │ 0.021726746018975975210940632110 │ leaky_relu │ 0.315 │ 138027384832.000 │ 1014.660 │ 1113.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 49 │ 31 │ 14 │ 19 │ 4 │ 1 │ 23 │ 0.074745996296405797787443248126 │ swish │ 0.303 │ 1.534 │ 758.290 │ 241.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 39 │ 80 │ 3 │ 2 │ 9 │ 2 │ 10 │ 0.006270900089293718511485042910 │ sigmoid │ 0.303 │ 1.524 │ 739.280 │ 154.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 22 │ 26 │ 77 │ 31 │ 4 │ 18 │ 0.059684635140001773834228515625 │ leaky_relu │ 0.099 │ 1.833 │ 785.060 │ 318.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 70 │ 59 │ 9 │ 48 │ 27 │ 3 │ 2 │ 0.084364485833793884106412974688 │ tanh │ 0.303 │ 1.530 │ 857.080 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 40 │ 20 │ 99 │ 14 │ 1 │ 26 │ 0.037204374931752680344398953594 │ sigmoid │ 0.595 │ 1.176 │ 731.900 │ 192.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 29 │ 68 │ 11 │ 71 │ 24 │ 1 │ 11 │ 0.005212353914976120342061882695 │ gelu │ 0.123 │ 3.400 │ 839.850 │ 260.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 34 │ 18 │ 12 │ 18 │ 3 │ 19 │ 0.052173863258212806182090304219 │ leaky_relu │ 0.304 │ 1.747 │ 733.750 │ 90.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 58 │ 55 │ 1 │ 105 │ 1 │ 4 │ 3 │ 0.079155502095818522367842717813 │ swish │ 0.243 │ 1.728 │ 910.060 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 44 │ 28 │ 38 │ 39 │ 2 │ 27 │ 0.025933884363621474006267320078 │ tanh │ 0.303 │ 1.535 │ 794.860 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 63 │ 21 │ 55 │ 34 │ 1 │ 6 │ 0.092651730589568617735274358438 │ relu │ 0.351 │ 468589936640.000 │ 1022.710 │ 320.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 35 │ 16 │ 124 │ 6 │ 3 │ 30 │ 0.039830605033785104751586914062 │ leaky_relu │ 0.279 │ 1.539 │ 965.950 │ 317.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 73 │ 77 │ 31 │ 25 │ 13 │ 4 │ 14 │ 0.016706195659935474395751953125 │ leaky_relu │ 0.279 │ 1.532 │ 755.600 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 22 │ 25 │ 6 │ 86 │ 30 │ 2 │ 22 │ 0.063287048507481818981901255938 │ gelu │ 0.303 │ 1.536 │ 881.800 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 73 │ 17 │ 42 │ 5 │ 3 │ 32 │ 0.013862413447350264983359835469 │ gelu │ 0.290 │ 2.359 │ 793.410 │ 243.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 25 │ 12 │ 101 │ 38 │ 1 │ 8 │ 0.067082985118031498994461969687 │ tanh │ 0.303 │ 1.539 │ 905.330 │ 508.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 64 │ 27 │ 8 │ 21 │ 2 │ 24 │ 0.089270695950835948773161021563 │ sigmoid │ 0.279 │ 1.537 │ 805.340 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 38 │ 2 │ 75 │ 19 │ 4 │ 16 │ 0.042308325320482259579435435626 │ relu │ 0.303 │ 1.585 │ 871.550 │ 428.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 57 │ 15 │ 90 │ 14 │ 3 │ 17 │ 0.076213193405419599191219504064 │ sigmoid │ 0.279 │ 1.530 │ 815.110 │ 196.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 45 │ 22 │ 21 │ 26 │ 1 │ 9 │ 0.029633011110126974280154499297 │ swish │ 0.552 │ 4.712 │ 1098.140 │ 429.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 67 │ 66 │ 5 │ 120 │ 33 │ 2 │ 25 │ 0.001928296033293008891057462861 │ leaky_relu │ 0.298 │ 2.005 │ 804.020 │ 176.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 32 │ 32 │ 59 │ 10 │ 4 │ 1 │ 0.054749895446002484755698702656 │ tanh │ 0.302 │ 1.754 │ 836.380 │ 382.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 32 │ 60 │ 7 │ 31 │ 40 │ 4 │ 20 │ 0.086818417906761174984708873126 │ tanh │ 0.433 │ 1.365 │ 1017.420 │ 300.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 42 │ 30 │ 84 │ 3 │ 2 │ 12 │ 0.033798312302678823471069335938 │ leaky_relu │ 0.303 │ 1.527 │ 809.000 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 77 │ 13 │ 49 │ 16 │ 1 │ 28 │ 0.010043334588408470500753288945 │ swish │ 0.357 │ 1.671 │ 1109.150 │ 370.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 21 │ 24 │ 126 │ 24 │ 3 │ 4 │ 0.056815538834780458798956459532 │ gelu │ 0.279 │ 1312.504 │ 708.390 │ 298.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 47 │ 71 │ 25 │ 111 │ 29 │ 4 │ 29 │ 0.024277654848992826636111530547 │ tanh │ 0.279 │ 1.543 │ 762.670 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 28 │ 4 │ 36 │ 11 │ 2 │ 5 │ 0.071438245568424471598767411251 │ leaky_relu │ 0.303 │ 1.530 │ 828.440 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 77 │ 54 │ 19 │ 65 │ 8 │ 1 │ 21 │ 0.097586374916136267576582952188 │ leaky_relu │ 0.279 │ 1.532 │ 857.770 │ 143.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 25 │ 48 │ 10 │ 14 │ 35 │ 3 │ 13 │ 0.044173304457217454910278320312 │ sigmoid │ 0.611 │ 2.392 │ 792.520 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 26 │ 60 │ 20 │ 83 │ 23 │ 4 │ 10 │ 0.043133443035185341229986732969 │ leaky_relu │ 0.303 │ 1.540 │ 829.210 │ 179.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 39 │ 9 │ 32 │ 20 │ 2 │ 18 │ 0.090107254404574635420210881875 │ sigmoid │ 0.279 │ 1.533 │ 1048.380 │ 344.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 80 │ 26 │ 125 │ 4 │ 1 │ 2 │ 0.066258624754846104365491044064 │ swish │ 0.365 │ 1.458 │ 768.340 │ 257.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 22 │ 3 │ 50 │ 36 │ 3 │ 26 │ 0.013025085721164942481609116953 │ relu │ 0.303 │ 1.526 │ 820.360 │ 353.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 72 │ 14 │ 35 │ 31 │ 4 │ 7 │ 0.055487286671996122189298716876 │ swish │ 0.279 │ 1.529 │ 863.480 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 62 │ 30 │ 23 │ 112 │ 9 │ 2 │ 31 │ 0.002654240559786558237981290986 │ relu │ 0.303 │ 1.543 │ 882.160 │ 190.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 51 │ 8 │ 13 │ 15 │ 1 │ 15 │ 0.028894874453544619474776311563 │ tanh │ 0.279 │ 49438.102 │ 736.590 │ 139.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 47 │ 29 │ 66 │ 28 │ 3 │ 23 │ 0.075488030072301634532117020626 │ leaky_relu │ 0.279 │ 107100766208.000 │ 775.440 │ 146.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 76 │ 6 │ 102 │ 18 │ 3 │ 6 │ 0.057553675118833781676475069844 │ gelu │ 0.175 │ 2.014 │ 760.710 │ 140.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 26 │ 31 │ 41 │ 25 │ 1 │ 30 │ 0.010768498294055461883544921875 │ relu │ 0.236 │ 2.202 │ 658.880 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 63 │ 16 │ 76 │ 39 │ 2 │ 14 │ 0.033060920704156164517950600157 │ sigmoid │ 0.099 │ 2.001 │ 696.970 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 64 │ 10 │ 66 │ 27 │ 1 │ 1 │ 0.014134787988107858774933234258 │ leaky_relu │ 0.679 │ 2.066 │ 754.820 │ 209.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 18 │ 14 │ 37 │ 1 │ 6 │ 0.059086523516428922364607245754 │ leaky_relu │ 0.289 │ 175.348 │ 748.030 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 31 │ 1 │ 106 │ 31 │ 1 │ 18 │ 0.000000000000000000000000000000 │ leaky_relu │ 0.212 │ 1.806 │ 709.750 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 65 │ 1 │ 47 │ 26 │ 1 │ 5 │ 0.000000000000000000000000000000 │ relu │ 0.238 │ 1.877 │ 661.450 │ 62.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 55 │ 6 │ 75 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ sigmoid │ 0.152 │ 1.811 │ 702.780 │ 111.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 51 │ 2 │ 57 │ 31 │ 1 │ 15 │ 0.007317698416411802693481991611 │ leaky_relu │ 0.176 │ 2.011 │ 660.640 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 32 │ 13 │ 14 │ 15 │ 1 │ 26 │ 0.064650171459835203968680161779 │ leaky_relu │ 0.755 │ 1.848 │ 765.720 │ 178.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 50 │ 2 │ 70 │ 36 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.279 │ 2.005 │ 679.560 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 65 │ 1 │ 65 │ 1 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.664 │ 1.132 │ 692.040 │ 181.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 21 │ 3 │ 23 │ 4 │ 3 │ 12 │ 0.000000000000000000000000000000 │ tanh │ 0.170 │ 2.109 │ 739.380 │ 137.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 1 │ 68 │ 11 │ 1 │ 2 │ 0.000000000000000000000000000000 │ gelu │ 0.099 │ 1.914 │ 726.300 │ 199.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 50 │ 42 │ 1 │ 66 │ 24 │ 1 │ 9 │ 0.002993842920352664770111683623 │ leaky_relu │ 0.161 │ 2.389 │ 696.000 │ 126.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 35 │ 54 │ 1 │ 69 │ 5 │ 1 │ 3 │ 0.000000000000000000000000000000 │ sigmoid │ 0.136 │ 1.859 │ 729.690 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 20 │ 1 │ 80 │ 15 │ 3 │ 1 │ 0.003689927636538623424017346863 │ sigmoid │ 0.164 │ 1.764 │ 724.020 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 72 │ 1 │ 85 │ 9 │ 1 │ 1 │ 0.000000000000000000000000000000 │ relu │ 0.356 │ 2.032 │ 669.910 │ 61.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 25 │ 19 │ 3 │ 14 │ 0.000000000000000000000000000000 │ sigmoid │ 0.668 │ 1.216 │ 713.320 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 68 │ 1 │ 78 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.721 │ 1.117 │ 715.330 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 59 │ 1 │ 63 │ 37 │ 1 │ 7 │ 0.000000000000000000000000000000 │ sigmoid │ 0.474 │ 2.046 │ 678.550 │ 173.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 61 │ 1 │ 70 │ 40 │ 1 │ 16 │ 0.000000000000000000000000000000 │ sigmoid │ 0.102 │ 1.870 │ 798.720 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 20 │ 1 │ 95 │ 1 │ 3 │ 9 │ 0.025910456544662494038355760040 │ sigmoid │ 0.197 │ 1.634 │ 782.010 │ 123.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 21 │ 4 │ 85 │ 39 │ 3 │ 14 │ 0.007229049290819482623260405774 │ swish │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 23 │ 4 │ 37 │ 38 │ 3 │ 13 │ 0.000555745820291206446724097123 │ gelu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 34 │ 1 │ 4 │ 34 │ 1 │ 9 │ 0.055110439702635696801458209393 │ leaky_relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 10 │ 93 │ 24 │ 1 │ 20 │ 0.000000000000000000000000000000 │ relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 31 │ 11 │ 102 │ 5 │ 1 │ 8 │ 0.000000000000000000000000000000 │ leaky_relu │ │ │ │ │
└───────┴────────┴───────┴─────────────┴────────┴──────┴──────────────┴──────────────────────────────────┴────────────┴──────────────┴───────────────────┴───────────┴──────────┘
Pareto-Front for RAM_USAGE/RUNTIME:
â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”â”┳â”â”â”â”â”â”â”â”â”â”┓
┃ width ┃ height ┃ dense ┃ dense_units ┃ epochs ┃ conv ┃ conv_filters ┃ learning_rate ┃ activation ┃ VAL_ACCURACY ┃ VAL_LOSS ┃ RAM_USAGE ┃ RUNTIME ┃
┡â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”â”╇â”â”â”â”â”â”â”â”â”â”┩
│ 26 │ 73 │ 1 │ 57 │ 15 │ 3 │ 24 │ 0.032092443108558653397377469219 │ swish │ 0.279 │ 1.526 │ 813.160 │ 262.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 29 │ 28 │ 118 │ 27 │ 1 │ 16 │ 0.085521344840526591912777121252 │ sigmoid │ 0.197 │ 1.725 │ 1005.060 │ 229.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 56 │ 52 │ 11 │ 23 │ 32 │ 2 │ 32 │ 0.058539896737784147262573242188 │ tanh │ 0.280 │ 1.691 │ 911.670 │ 274.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 46 │ 18 │ 92 │ 9 │ 4 │ 8 │ 0.011370722576975822795675163945 │ swish │ 0.303 │ 1.524 │ 845.470 │ 291.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 42 │ 59 │ 31 │ 73 │ 3 │ 3 │ 25 │ 0.069653043244034054670699163125 │ relu │ 0.303 │ 1.529 │ 977.120 │ 339.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 63 │ 40 │ 6 │ 6 │ 37 │ 1 │ 1 │ 0.022864626906812193785079045938 │ gelu │ 0.420 │ 1.309 │ 696.930 │ 180.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 79 │ 21 │ 103 │ 22 │ 2 │ 17 │ 0.045989227015525102615356445312 │ swish │ 0.303 │ 1.534 │ 1118.540 │ 399.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 31 │ 23 │ 16 │ 44 │ 20 │ 4 │ 9 │ 0.099017534591257574949629827188 │ gelu │ 0.303 │ 1.531 │ 762.970 │ 234.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 55 │ 23 │ 16 │ 30 │ 4 │ 28 │ 0.068392300978302955627441406250 │ leaky_relu │ 0.246 │ 5858663071744.000 │ 894.300 │ 456.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 43 │ 14 │ 67 │ 12 │ 2 │ 4 │ 0.015556015353649855353923570078 │ gelu │ 0.279 │ 1.526 │ 804.710 │ 198.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 68 │ 29 │ 34 │ 6 │ 1 │ 20 │ 0.040968670696020129118330999063 │ sigmoid │ 0.303 │ 1.534 │ 907.450 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 34 │ 8 │ 109 │ 33 │ 3 │ 12 │ 0.087558580841869126931698019689 │ tanh │ 0.303 │ 2.845 │ 778.440 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 45 │ 75 │ 9 │ 128 │ 38 │ 4 │ 21 │ 0.031033891625702383215701374297 │ gelu │ 0.303 │ 1.528 │ 1104.600 │ 321.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 51 │ 27 │ 20 │ 51 │ 2 │ 2 │ 13 │ 0.078010566998273134231567382812 │ relu │ 0.303 │ 1.531 │ 805.540 │ 141.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 62 │ 3 │ 82 │ 17 │ 1 │ 29 │ 0.053330907039344316311613170001 │ relu │ 0.303 │ 1.558 │ 976.760 │ 222.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 36 │ 26 │ 29 │ 25 │ 3 │ 5 │ 0.000100226048380136497999680356 │ tanh │ 0.609 │ 1.154 │ 760.960 │ 282.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 23 │ 65 │ 13 │ 97 │ 10 │ 2 │ 15 │ 0.050486355926841502972379771563 │ swish │ 0.279 │ 1.554 │ 825.030 │ 208.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 75 │ 37 │ 24 │ 46 │ 32 │ 4 │ 23 │ 0.003896919637918472376775236299 │ relu │ 0.303 │ 1.525 │ 955.340 │ 468.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 75 │ 7 │ 79 │ 26 │ 3 │ 7 │ 0.027652088087052106857299804688 │ sigmoid │ 0.303 │ 1.529 │ 826.340 │ 185.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 43 │ 24 │ 30 │ 4 │ 13 │ 1 │ 31 │ 0.080489044263958933744795842813 │ gelu │ 0.279 │ 1.550 │ 822.980 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 38 │ 66 │ 19 │ 17 │ 18 │ 2 │ 2 │ 0.038027142826467755232222600625 │ sigmoid │ 0.279 │ 1.532 │ 758.970 │ 133.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 59 │ 32 │ 10 │ 94 │ 21 │ 4 │ 26 │ 0.091256962530314927883878795001 │ tanh │ 0.258 │ 2.625 │ 918.890 │ 328.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 68 │ 56 │ 25 │ 63 │ 37 │ 3 │ 10 │ 0.065109023917466410380505692501 │ swish │ 0.303 │ 1.526 │ 917.460 │ 393.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 28 │ 46 │ 4 │ 116 │ 5 │ 1 │ 18 │ 0.018131302483379841544719468516 │ relu │ 0.452 │ 1.873 │ 790.060 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 78 │ 27 │ 88 │ 35 │ 1 │ 3 │ 0.048442378267645837264243624531 │ tanh │ 0.210 │ 2.099 │ 815.840 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 27 │ 7 │ 3 │ 27 │ 0.095612217020243417398006613439 │ swish │ 0.279 │ 1.539 │ 790.670 │ 240.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 61 │ 17 │ 122 │ 11 │ 4 │ 11 │ 0.073424696922302246093750000000 │ sigmoid │ 0.279 │ 1.629 │ 980.280 │ 245.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 40 │ 41 │ 12 │ 53 │ 28 │ 2 │ 19 │ 0.019996275659650564193725585938 │ relu │ 0.303 │ 1.534 │ 776.000 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 52 │ 5 │ 40 │ 23 │ 1 │ 14 │ 0.061091574467718602614585421406 │ leaky_relu │ 0.445 │ 1.690 │ 768.340 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 50 │ 32 │ 107 │ 16 │ 3 │ 22 │ 0.008062214870005846717448960703 │ relu │ 0.303 │ 1.524 │ 1089.670 │ 642.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 70 │ 15 │ 10 │ 2 │ 4 │ 6 │ 0.035767120681703089279945828594 │ tanh │ 0.352 │ 1.488 │ 875.730 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 29 │ 22 │ 69 │ 40 │ 2 │ 30 │ 0.082554681692272424697875976562 │ swish │ 0.279 │ 1.530 │ 838.340 │ 138.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 24 │ 50 │ 29 │ 114 │ 19 │ 2 │ 7 │ 0.093912466894835233688354492188 │ relu │ 0.303 │ 1.537 │ 843.060 │ 131.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 79 │ 48 │ 8 │ 61 │ 23 │ 4 │ 31 │ 0.047139210626482963562011718750 │ gelu │ 0.279 │ 1.589 │ 1036.950 │ 410.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 23 │ 96 │ 36 │ 3 │ 15 │ 0.021726746018975975210940632110 │ leaky_relu │ 0.315 │ 138027384832.000 │ 1014.660 │ 1113.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 49 │ 31 │ 14 │ 19 │ 4 │ 1 │ 23 │ 0.074745996296405797787443248126 │ swish │ 0.303 │ 1.534 │ 758.290 │ 241.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 39 │ 80 │ 3 │ 2 │ 9 │ 2 │ 10 │ 0.006270900089293718511485042910 │ sigmoid │ 0.303 │ 1.524 │ 739.280 │ 154.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 64 │ 22 │ 26 │ 77 │ 31 │ 4 │ 18 │ 0.059684635140001773834228515625 │ leaky_relu │ 0.099 │ 1.833 │ 785.060 │ 318.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 70 │ 59 │ 9 │ 48 │ 27 │ 3 │ 2 │ 0.084364485833793884106412974688 │ tanh │ 0.303 │ 1.530 │ 857.080 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 40 │ 20 │ 99 │ 14 │ 1 │ 26 │ 0.037204374931752680344398953594 │ sigmoid │ 0.595 │ 1.176 │ 731.900 │ 192.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 29 │ 68 │ 11 │ 71 │ 24 │ 1 │ 11 │ 0.005212353914976120342061882695 │ gelu │ 0.123 │ 3.400 │ 839.850 │ 260.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 34 │ 18 │ 12 │ 18 │ 3 │ 19 │ 0.052173863258212806182090304219 │ leaky_relu │ 0.304 │ 1.747 │ 733.750 │ 90.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 58 │ 55 │ 1 │ 105 │ 1 │ 4 │ 3 │ 0.079155502095818522367842717813 │ swish │ 0.243 │ 1.728 │ 910.060 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 44 │ 28 │ 38 │ 39 │ 2 │ 27 │ 0.025933884363621474006267320078 │ tanh │ 0.303 │ 1.535 │ 794.860 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 63 │ 21 │ 55 │ 34 │ 1 │ 6 │ 0.092651730589568617735274358438 │ relu │ 0.351 │ 468589936640.000 │ 1022.710 │ 320.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 35 │ 16 │ 124 │ 6 │ 3 │ 30 │ 0.039830605033785104751586914062 │ leaky_relu │ 0.279 │ 1.539 │ 965.950 │ 317.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 73 │ 77 │ 31 │ 25 │ 13 │ 4 │ 14 │ 0.016706195659935474395751953125 │ leaky_relu │ 0.279 │ 1.532 │ 755.600 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 22 │ 25 │ 6 │ 86 │ 30 │ 2 │ 22 │ 0.063287048507481818981901255938 │ gelu │ 0.303 │ 1.536 │ 881.800 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 73 │ 17 │ 42 │ 5 │ 3 │ 32 │ 0.013862413447350264983359835469 │ gelu │ 0.290 │ 2.359 │ 793.410 │ 243.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 76 │ 25 │ 12 │ 101 │ 38 │ 1 │ 8 │ 0.067082985118031498994461969687 │ tanh │ 0.303 │ 1.539 │ 905.330 │ 508.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 52 │ 64 │ 27 │ 8 │ 21 │ 2 │ 24 │ 0.089270695950835948773161021563 │ sigmoid │ 0.279 │ 1.537 │ 805.340 │ 221.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 46 │ 38 │ 2 │ 75 │ 19 │ 4 │ 16 │ 0.042308325320482259579435435626 │ relu │ 0.303 │ 1.585 │ 871.550 │ 428.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 36 │ 57 │ 15 │ 90 │ 14 │ 3 │ 17 │ 0.076213193405419599191219504064 │ sigmoid │ 0.279 │ 1.530 │ 815.110 │ 196.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 45 │ 22 │ 21 │ 26 │ 1 │ 9 │ 0.029633011110126974280154499297 │ swish │ 0.552 │ 4.712 │ 1098.140 │ 429.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 67 │ 66 │ 5 │ 120 │ 33 │ 2 │ 25 │ 0.001928296033293008891057462861 │ leaky_relu │ 0.298 │ 2.005 │ 804.020 │ 176.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 32 │ 32 │ 59 │ 10 │ 4 │ 1 │ 0.054749895446002484755698702656 │ tanh │ 0.302 │ 1.754 │ 836.380 │ 382.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 32 │ 60 │ 7 │ 31 │ 40 │ 4 │ 20 │ 0.086818417906761174984708873126 │ tanh │ 0.433 │ 1.365 │ 1017.420 │ 300.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 42 │ 30 │ 84 │ 3 │ 2 │ 12 │ 0.033798312302678823471069335938 │ leaky_relu │ 0.303 │ 1.527 │ 809.000 │ 171.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 61 │ 77 │ 13 │ 49 │ 16 │ 1 │ 28 │ 0.010043334588408470500753288945 │ swish │ 0.357 │ 1.671 │ 1109.150 │ 370.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 21 │ 24 │ 126 │ 24 │ 3 │ 4 │ 0.056815538834780458798956459532 │ gelu │ 0.279 │ 1312.504 │ 708.390 │ 298.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 47 │ 71 │ 25 │ 111 │ 29 │ 4 │ 29 │ 0.024277654848992826636111530547 │ tanh │ 0.279 │ 1.543 │ 762.670 │ 142.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 28 │ 4 │ 36 │ 11 │ 2 │ 5 │ 0.071438245568424471598767411251 │ leaky_relu │ 0.303 │ 1.530 │ 828.440 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 77 │ 54 │ 19 │ 65 │ 8 │ 1 │ 21 │ 0.097586374916136267576582952188 │ leaky_relu │ 0.279 │ 1.532 │ 857.770 │ 143.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 25 │ 48 │ 10 │ 14 │ 35 │ 3 │ 13 │ 0.044173304457217454910278320312 │ sigmoid │ 0.611 │ 2.392 │ 792.520 │ 203.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 26 │ 60 │ 20 │ 83 │ 23 │ 4 │ 10 │ 0.043133443035185341229986732969 │ leaky_relu │ 0.303 │ 1.540 │ 829.210 │ 179.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 78 │ 39 │ 9 │ 32 │ 20 │ 2 │ 18 │ 0.090107254404574635420210881875 │ sigmoid │ 0.279 │ 1.533 │ 1048.380 │ 344.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 57 │ 80 │ 26 │ 125 │ 4 │ 1 │ 2 │ 0.066258624754846104365491044064 │ swish │ 0.365 │ 1.458 │ 768.340 │ 257.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 48 │ 22 │ 3 │ 50 │ 36 │ 3 │ 26 │ 0.013025085721164942481609116953 │ relu │ 0.303 │ 1.526 │ 820.360 │ 353.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 41 │ 72 │ 14 │ 35 │ 31 │ 4 │ 7 │ 0.055487286671996122189298716876 │ swish │ 0.279 │ 1.529 │ 863.480 │ 134.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 62 │ 30 │ 23 │ 112 │ 9 │ 2 │ 31 │ 0.002654240559786558237981290986 │ relu │ 0.303 │ 1.543 │ 882.160 │ 190.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 72 │ 51 │ 8 │ 13 │ 15 │ 1 │ 15 │ 0.028894874453544619474776311563 │ tanh │ 0.279 │ 49438.102 │ 736.590 │ 139.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 33 │ 47 │ 29 │ 66 │ 28 │ 3 │ 23 │ 0.075488030072301634532117020626 │ leaky_relu │ 0.279 │ 107100766208.000 │ 775.440 │ 146.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 30 │ 76 │ 6 │ 102 │ 18 │ 3 │ 6 │ 0.057553675118833781676475069844 │ gelu │ 0.175 │ 2.014 │ 760.710 │ 140.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 66 │ 26 │ 31 │ 41 │ 25 │ 1 │ 30 │ 0.010768498294055461883544921875 │ relu │ 0.236 │ 2.202 │ 658.880 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 63 │ 16 │ 76 │ 39 │ 2 │ 14 │ 0.033060920704156164517950600157 │ sigmoid │ 0.099 │ 2.001 │ 696.970 │ 124.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 64 │ 10 │ 66 │ 27 │ 1 │ 1 │ 0.014134787988107858774933234258 │ leaky_relu │ 0.679 │ 2.066 │ 754.820 │ 209.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 71 │ 18 │ 14 │ 37 │ 1 │ 6 │ 0.059086523516428922364607245754 │ leaky_relu │ 0.289 │ 175.348 │ 748.030 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 31 │ 1 │ 106 │ 31 │ 1 │ 18 │ 0.000000000000000000000000000000 │ leaky_relu │ 0.212 │ 1.806 │ 709.750 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 65 │ 1 │ 47 │ 26 │ 1 │ 5 │ 0.000000000000000000000000000000 │ relu │ 0.238 │ 1.877 │ 661.450 │ 62.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 53 │ 55 │ 6 │ 75 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ sigmoid │ 0.152 │ 1.811 │ 702.780 │ 111.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 51 │ 2 │ 57 │ 31 │ 1 │ 15 │ 0.007317698416411802693481991611 │ leaky_relu │ 0.176 │ 2.011 │ 660.640 │ 114.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 55 │ 32 │ 13 │ 14 │ 15 │ 1 │ 26 │ 0.064650171459835203968680161779 │ leaky_relu │ 0.755 │ 1.848 │ 765.720 │ 178.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 50 │ 2 │ 70 │ 36 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.279 │ 2.005 │ 679.560 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 37 │ 65 │ 1 │ 65 │ 1 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.664 │ 1.132 │ 692.040 │ 181.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 34 │ 21 │ 3 │ 23 │ 4 │ 3 │ 12 │ 0.000000000000000000000000000000 │ tanh │ 0.170 │ 2.109 │ 739.380 │ 137.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 1 │ 68 │ 11 │ 1 │ 2 │ 0.000000000000000000000000000000 │ gelu │ 0.099 │ 1.914 │ 726.300 │ 199.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 50 │ 42 │ 1 │ 66 │ 24 │ 1 │ 9 │ 0.002993842920352664770111683623 │ leaky_relu │ 0.161 │ 2.389 │ 696.000 │ 126.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 35 │ 54 │ 1 │ 69 │ 5 │ 1 │ 3 │ 0.000000000000000000000000000000 │ sigmoid │ 0.136 │ 1.859 │ 729.690 │ 127.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 71 │ 20 │ 1 │ 80 │ 15 │ 3 │ 1 │ 0.003689927636538623424017346863 │ sigmoid │ 0.164 │ 1.764 │ 724.020 │ 169.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 80 │ 72 │ 1 │ 85 │ 9 │ 1 │ 1 │ 0.000000000000000000000000000000 │ relu │ 0.356 │ 2.032 │ 669.910 │ 61.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 69 │ 20 │ 2 │ 25 │ 19 │ 3 │ 14 │ 0.000000000000000000000000000000 │ sigmoid │ 0.668 │ 1.216 │ 713.320 │ 168.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 68 │ 1 │ 78 │ 3 │ 1 │ 1 │ 0.000000000000000000000000000000 │ gelu │ 0.721 │ 1.117 │ 715.330 │ 242.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 44 │ 59 │ 1 │ 63 │ 37 │ 1 │ 7 │ 0.000000000000000000000000000000 │ sigmoid │ 0.474 │ 2.046 │ 678.550 │ 173.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 61 │ 1 │ 70 │ 40 │ 1 │ 16 │ 0.000000000000000000000000000000 │ sigmoid │ 0.102 │ 1.870 │ 798.720 │ 129.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 20 │ 1 │ 95 │ 1 │ 3 │ 9 │ 0.025910456544662494038355760040 │ sigmoid │ 0.197 │ 1.634 │ 782.010 │ 123.000 │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 21 │ 21 │ 4 │ 85 │ 39 │ 3 │ 14 │ 0.007229049290819482623260405774 │ swish │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 23 │ 4 │ 37 │ 38 │ 3 │ 13 │ 0.000555745820291206446724097123 │ gelu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 60 │ 34 │ 1 │ 4 │ 34 │ 1 │ 9 │ 0.055110439702635696801458209393 │ leaky_relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 20 │ 66 │ 10 │ 93 │ 24 │ 1 │ 20 │ 0.000000000000000000000000000000 │ relu │ │ │ │ │
├───────┼────────┼───────┼─────────────┼────────┼──────┼──────────────┼──────────────────────────────────┼────────────┼──────────────┼───────────────────┼───────────┼──────────┤
│ 54 │ 31 │ 11 │ 102 │ 5 │ 1 │ 8 │ 0.000000000000000000000000000000 │ leaky_relu │ │ │ │ │
└───────┴────────┴───────┴─────────────┴────────┴──────┴──────────────┴──────────────────────────────────┴────────────┴──────────────┴───────────────────┴───────────┴──────────┘
</pre>
<h1> 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 »results.csv« as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,VAL_ACCURACY,VAL_LOSS,RAM_USAGE,RUNTIME,width,height,dense,dense_units,epochs,conv,conv_filters,learning_rate,activation
0,0_0,COMPLETED,Sobol,SOBOL,0.279000000000000025757174171304,1.526399999999999979038989295077,813.159999999999968167685437947512,262.000000000000000000000000000000,26,73,1,57,15,3,24,0.032092443108558653397377469219,swish
1,1_0,COMPLETED,Sobol,SOBOL,0.196599999999999996980193373020,1.724800000000000110844666778576,1005.059999999999945430317893624306,229.000000000000000000000000000000,78,29,28,118,27,1,16,0.085521344840526591912777121252,sigmoid
2,2_0,COMPLETED,Sobol,SOBOL,0.279600000000000015187850976872,1.691400000000000014566126083082,911.669999999999959072738420218229,274.000000000000000000000000000000,56,52,11,23,32,2,32,0.058539896737784147262573242188,tanh
3,3_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.524100000000000010302869668521,845.470000000000027284841053187847,291.000000000000000000000000000000,46,46,18,92,9,4,8,0.011370722576975822795675163945,swish
4,4_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.529400000000000092725827016693,977.120000000000004547473508864641,339.000000000000000000000000000000,42,59,31,73,3,3,25,0.069653043244034054670699163125,relu
5,5_0,COMPLETED,Sobol,SOBOL,0.419800000000000006483702463811,1.309399999999999897326574682666,696.929999999999949977791402488947,180.000000000000000000000000000000,63,40,6,6,37,1,1,0.022864626906812193785079045938,gelu
6,6_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.533600000000000074251715886930,1118.539999999999963620211929082870,399.000000000000000000000000000000,71,79,21,103,22,2,17,0.045989227015525102615356445312,swish
7,7_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.530799999999999938538053356751,762.970000000000027284841053187847,234.000000000000000000000000000000,31,23,16,44,20,4,9,0.099017534591257574949629827188,gelu
8,8_0,COMPLETED,Sobol,SOBOL,0.246200000000000002176037128265,5858663071744.000000000000000000000000000000,894.299999999999954525264911353588,456.000000000000000000000000000000,30,55,23,16,30,4,28,0.068392300978302955627441406250,leaky_relu
9,9_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.526299999999999990052401699359,804.710000000000036379788070917130,198.000000000000000000000000000000,66,43,14,67,12,2,4,0.015556015353649855353923570078,gelu
10,10_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.534299999999999997157829056960,907.450000000000045474735088646412,185.000000000000000000000000000000,61,68,29,34,6,1,20,0.040968670696020129118330999063,sigmoid
11,11_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,2.844599999999999795363692101091,778.440000000000054569682106375694,142.000000000000000000000000000000,36,34,8,109,33,3,12,0.087558580841869126931698019689,tanh
12,12_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.527500000000000079936057773011,1104.599999999999909050529822707176,321.000000000000000000000000000000,45,75,9,128,38,4,21,0.031033891625702383215701374297,gelu
13,13_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.530799999999999938538053356751,805.539999999999963620211929082870,141.000000000000000000000000000000,51,27,20,51,2,2,13,0.078010566998273134231567382812,relu
14,14_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.558400000000000007460698725481,976.759999999999990905052982270718,222.000000000000000000000000000000,76,62,3,82,17,1,29,0.053330907039344316311613170001,relu
15,15_0,COMPLETED,Sobol,SOBOL,0.608600000000000029842794901924,1.153999999999999914734871708788,760.960000000000036379788070917130,282.000000000000000000000000000000,21,36,26,29,25,3,5,0.000100226048380136497999680356,tanh
16,16_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.553700000000000081001871876651,825.029999999999972715158946812153,208.000000000000000000000000000000,23,65,13,97,10,2,15,0.050486355926841502972379771563,swish
17,17_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.525199999999999889155333221424,955.340000000000031832314562052488,468.000000000000000000000000000000,75,37,24,46,32,4,23,0.003896919637918472376775236299,relu
18,18_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.529199999999999892708046900225,826.340000000000031832314562052488,185.000000000000000000000000000000,52,75,7,79,26,3,7,0.027652088087052106857299804688,sigmoid
19,19_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.549600000000000088462570602132,822.980000000000018189894035458565,124.000000000000000000000000000000,43,24,30,4,13,1,31,0.080489044263958933744795842813,gelu
20,20_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.531700000000000061461946643249,758.970000000000027284841053187847,133.000000000000000000000000000000,38,66,19,17,18,2,2,0.038027142826467755232222600625,sigmoid
21,21_0,COMPLETED,Sobol,SOBOL,0.257699999999999984634513339188,2.624600000000000044053649617126,918.889999999999986357579473406076,328.000000000000000000000000000000,59,32,10,94,21,4,26,0.091256962530314927883878795001,tanh
22,22_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.526399999999999979038989295077,917.460000000000036379788070917130,393.000000000000000000000000000000,68,56,25,63,37,3,10,0.065109023917466410380505692501,swish
23,23_0,COMPLETED,Sobol,SOBOL,0.452000000000000012878587085652,1.873299999999999965183405947755,790.059999999999945430317893624306,134.000000000000000000000000000000,28,46,4,116,5,1,18,0.018131302483379841544719468516,relu
24,24_0,COMPLETED,Sobol,SOBOL,0.209699999999999997513100424840,2.098599999999999798916405779892,815.840000000000031832314562052488,124.000000000000000000000000000000,33,78,27,88,35,1,3,0.048442378267645837264243624531,tanh
25,25_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.539400000000000101607611213694,790.669999999999959072738420218229,240.000000000000000000000000000000,69,20,2,27,7,3,27,0.095612217020243417398006613439,swish
26,26_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.629499999999999948485651657393,980.279999999999972715158946812153,245.000000000000000000000000000000,64,61,17,122,11,4,11,0.073424696922302246093750000000,sigmoid
27,27_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.533600000000000074251715886930,776.000000000000000000000000000000,142.000000000000000000000000000000,40,41,12,53,28,2,19,0.019996275659650564193725585938,relu
28,28_0,COMPLETED,Sobol,SOBOL,0.444699999999999984190424129338,1.690299999999999913669057605148,768.340000000000031832314562052488,131.000000000000000000000000000000,48,52,5,40,23,1,14,0.061091574467718602614585421406,leaky_relu
29,29_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.524399999999999977262632455677,1089.670000000000072759576141834259,642.000000000000000000000000000000,54,50,32,107,16,3,22,0.008062214870005846717448960703,relu
30,30_0,COMPLETED,Sobol,SOBOL,0.352200000000000013056222769592,1.487800000000000011368683772162,875.730000000000018189894035458565,242.000000000000000000000000000000,80,70,15,10,2,4,6,0.035767120681703089279945828594,tanh
31,31_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.529800000000000048672177399567,838.340000000000031832314562052488,138.000000000000000000000000000000,24,29,22,69,40,2,30,0.082554681692272424697875976562,swish
32,32_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.537199999999999899813474257826,843.059999999999945430317893624306,131.000000000000000000000000000000,24,50,29,114,19,2,7,0.093912466894835233688354492188,relu
33,33_0,COMPLETED,Sobol,SOBOL,0.279100000000000014743761767022,1.588899999999999979038989295077,1036.950000000000045474735088646412,410.000000000000000000000000000000,79,48,8,61,23,4,31,0.047139210626482963562011718750,gelu
34,34_0,COMPLETED,Sobol,SOBOL,0.314699999999999979749532030837,138027384832.000000000000000000000000000000,1014.659999999999968167685437947512,1113.000000000000000000000000000000,55,71,23,96,36,3,15,0.021726746018975975210940632110,leaky_relu
35,35_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.533700000000000063238303482649,758.289999999999963620211929082870,241.000000000000000000000000000000,49,31,14,19,4,1,23,0.074745996296405797787443248126,swish
36,36_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.524000000000000021316282072803,739.279999999999972715158946812153,154.000000000000000000000000000000,39,80,3,2,9,2,10,0.006270900089293718511485042910,sigmoid
37,37_0,FAILED,Sobol,SOBOL,,,,,64,22,26,77,31,4,18,0.059684635140001773834228515625,leaky_relu
38,38_0,COMPLETED,Sobol,SOBOL,0.098500000000000004218847493576,1.833199999999999940669681564032,785.059999999999945430317893624306,318.000000000000000000000000000000,70,59,9,48,27,3,2,0.084364485833793884106412974688,tanh
39,39_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.530100000000000015631940186722,857.080000000000040927261579781771,203.000000000000000000000000000000,34,40,20,99,14,1,26,0.037204374931752680344398953594,sigmoid
40,40_0,COMPLETED,Sobol,SOBOL,0.595300000000000051336712658667,1.175999999999999934274796942191,731.899999999999977262632455676794,192.000000000000000000000000000000,29,68,11,71,24,1,11,0.005212353914976120342061882695,gelu
41,41_0,COMPLETED,Sobol,SOBOL,0.123200000000000003952393967666,3.400399999999999867128508412861,839.850000000000022737367544323206,260.000000000000000000000000000000,69,34,18,12,18,3,19,0.052173863258212806182090304219,leaky_relu
42,42_0,COMPLETED,Sobol,SOBOL,0.304300000000000014921397450962,1.746799999999999908339987086947,733.750000000000000000000000000000,90.000000000000000000000000000000,58,55,1,105,1,4,3,0.079155502095818522367842717813,swish
43,43_0,COMPLETED,Sobol,SOBOL,0.242699999999999999067412659315,1.728399999999999936406425149471,910.059999999999945430317893624306,221.000000000000000000000000000000,37,44,28,38,39,2,27,0.025933884363621474006267320078,tanh
44,44_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.534999999999999920063942226989,794.860000000000013642420526593924,129.000000000000000000000000000000,44,63,21,55,34,1,6,0.092651730589568617735274358438,relu
45,45_0,COMPLETED,Sobol,SOBOL,0.351100000000000023181456754173,468589936640.000000000000000000000000000000,1022.710000000000036379788070917130,320.000000000000000000000000000000,54,35,16,124,6,3,30,0.039830605033785104751586914062,leaky_relu
46,46_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.538799999999999945643480714352,965.950000000000045474735088646412,317.000000000000000000000000000000,73,77,31,25,13,4,14,0.016706195659935474395751953125,leaky_relu
47,47_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.532499999999999973354647408996,755.600000000000022737367544323206,171.000000000000000000000000000000,22,25,6,86,30,2,22,0.063287048507481818981901255938,gelu
48,48_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.536200000000000009947598300641,881.799999999999954525264911353588,171.000000000000000000000000000000,20,73,17,42,5,3,32,0.013862413447350264983359835469,gelu
49,49_0,COMPLETED,Sobol,SOBOL,0.290300000000000002486899575160,2.359199999999999963762320476235,793.409999999999968167685437947512,243.000000000000000000000000000000,76,25,12,101,38,1,8,0.067082985118031498994461969687,tanh
50,50_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.538699999999999956656893118634,905.330000000000040927261579781771,508.000000000000000000000000000000,52,64,27,8,21,2,24,0.089270695950835948773161021563,sigmoid
51,51_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.536799999999999943867123874952,805.340000000000031832314562052488,221.000000000000000000000000000000,46,38,2,75,19,4,16,0.042308325320482259579435435626,relu
52,52_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.584999999999999964472863211995,871.549999999999954525264911353588,428.000000000000000000000000000000,36,57,15,90,14,3,17,0.076213193405419599191219504064,sigmoid
53,53_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.530000000000000026645352591004,815.110000000000013642420526593924,196.000000000000000000000000000000,60,45,22,21,26,1,9,0.029633011110126974280154499297,swish
54,54_0,COMPLETED,Sobol,SOBOL,0.551899999999999946176387766172,4.711899999999999977262632455677,1098.140000000000100044417195022106,429.000000000000000000000000000000,67,66,5,120,33,2,25,0.001928296033293008891057462861,leaky_relu
55,55_0,COMPLETED,Sobol,SOBOL,0.298200000000000020605739337043,2.004700000000000148503431773861,804.019999999999981810105964541435,176.000000000000000000000000000000,30,32,32,59,10,4,1,0.054749895446002484755698702656,tanh
56,56_0,COMPLETED,Sobol,SOBOL,0.302400000000000002131628207280,1.753800000000000025579538487364,836.379999999999995452526491135359,382.000000000000000000000000000000,32,60,7,31,40,4,20,0.086818417906761174984708873126,tanh
57,57_0,FAILED,Sobol,SOBOL,,,,,72,42,30,84,3,2,12,0.033798312302678823471069335938,leaky_relu
58,58_0,COMPLETED,Sobol,SOBOL,0.433499999999999996447286321199,1.364700000000000024158453015843,1017.419999999999959072738420218229,300.000000000000000000000000000000,61,77,13,49,16,1,28,0.010043334588408470500753288945,swish
59,59_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.527300000000000101962882581574,809.000000000000000000000000000000,171.000000000000000000000000000000,41,21,24,126,24,3,4,0.056815538834780458798956459532,gelu
60,60_0,COMPLETED,Sobol,SOBOL,0.356999999999999984012788445398,1.671399999999999996802557689080,1109.150000000000090949470177292824,370.000000000000000000000000000000,47,71,25,111,29,4,29,0.024277654848992826636111530547,tanh
61,61_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1312.504400000000032378011383116245,708.389999999999986357579473406076,298.000000000000000000000000000000,57,28,4,36,11,2,5,0.071438245568424471598767411251,leaky_relu
62,62_0,FAILED,Sobol,SOBOL,,,,,77,54,19,65,8,1,21,0.097586374916136267576582952188,leaky_relu
63,63_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.543199999999999905142544776027,762.669999999999959072738420218229,142.000000000000000000000000000000,25,48,10,14,35,3,13,0.044173304457217454910278320312,sigmoid
64,64_0,FAILED,Sobol,SOBOL,,,,,26,60,20,83,23,4,10,0.043133443035185341229986732969,leaky_relu
65,65_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.529600000000000070699002208130,828.440000000000054569682106375694,168.000000000000000000000000000000,78,39,9,32,20,2,18,0.090107254404574635420210881875,sigmoid
66,66_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.532499999999999973354647408996,857.769999999999981810105964541435,143.000000000000000000000000000000,57,80,26,125,4,1,2,0.066258624754846104365491044064,swish
67,67_0,COMPLETED,Sobol,SOBOL,0.610800000000000009592326932761,2.392100000000000115107923193136,792.519999999999981810105964541435,203.000000000000000000000000000000,48,22,3,50,36,3,26,0.013025085721164942481609116953,relu
68,68_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.539600000000000079580786405131,829.210000000000036379788070917130,179.000000000000000000000000000000,41,72,14,35,31,4,7,0.055487286671996122189298716876,swish
69,69_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.532599999999999962341235004715,1048.380000000000109139364212751389,344.000000000000000000000000000000,62,30,23,112,9,2,31,0.002654240559786558237981290986,relu
70,70_0,COMPLETED,Sobol,SOBOL,0.364999999999999991118215802999,1.457799999999999984723331181158,768.340000000000031832314562052488,257.000000000000000000000000000000,72,51,8,13,15,1,15,0.028894874453544619474776311563,tanh
71,71_0,FAILED,Sobol,SOBOL,,,,,33,47,29,66,28,3,23,0.075488030072301634532117020626,leaky_relu
72,72_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.526200000000000001065814103640,820.360000000000013642420526593924,353.000000000000000000000000000000,30,76,6,102,18,3,6,0.057553675118833781676475069844,gelu
73,73_0,COMPLETED,Sobol,SOBOL,0.278899999999999981259435344327,1.528599999999999958788521325914,863.480000000000018189894035458565,134.000000000000000000000000000000,66,26,31,41,25,1,30,0.010768498294055461883544921875,relu
74,74_0,COMPLETED,Sobol,SOBOL,0.302999999999999991562305012849,1.542699999999999960209606797434,882.159999999999968167685437947512,190.000000000000000000000000000000,60,63,16,76,39,2,14,0.033060920704156164517950600157,sigmoid
75,75_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.279299999999999992716936958459,49438.101600000001781154423952102661,736.590000000000031832314562052488,139.000000000000000000000000000000,54,64,10,66,27,1,1,0.014134787988107858774933234258,leaky_relu
76,76_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.278899999999999981259435344327,107100766208.000000000000000000000000000000,775.440000000000054569682106375694,146.000000000000000000000000000000,55,71,18,14,37,1,6,0.059086523516428922364607245754,leaky_relu
77,77_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.175100000000000005639932965096,2.013599999999999834443542567897,760.710000000000036379788070917130,140.000000000000000000000000000000,53,31,1,106,31,1,18,0.000000000000000000000000000000,leaky_relu
78,78_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.236499999999999988009591334048,2.202199999999999935340611045831,658.879999999999995452526491135359,114.000000000000000000000000000000,20,65,1,47,26,1,5,0.000000000000000000000000000000,relu
79,79_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.098500000000000004218847493576,2.001399999999999845812226340058,696.970000000000027284841053187847,124.000000000000000000000000000000,53,55,6,75,3,1,1,0.000000000000000000000000000000,sigmoid
80,80_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.679000000000000047961634663807,2.065500000000000113686837721616,754.820000000000050022208597511053,209.000000000000000000000000000000,54,51,2,57,31,1,15,0.007317698416411802693481991611,leaky_relu
81,81_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289200000000000012612133559742,175.347800000000006548361852765083,748.029999999999972715158946812153,127.000000000000000000000000000000,55,32,13,14,15,1,26,0.064650171459835203968680161779,leaky_relu
82,82_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.212400000000000005462297281156,1.806100000000000038724579098925,709.750000000000000000000000000000,129.000000000000000000000000000000,80,50,2,70,36,1,1,0.000000000000000000000000000000,gelu
83,83_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.237800000000000011368683772162,1.876500000000000056843418860808,661.450000000000045474735088646412,62.000000000000000000000000000000,37,65,1,65,1,1,1,0.000000000000000000000000000000,gelu
84,84_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.152100000000000012967404927622,1.811199999999999921129756330629,702.779999999999972715158946812153,111.000000000000000000000000000000,34,21,3,23,4,3,12,0.000000000000000000000000000000,tanh
85,85_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.175900000000000000799360577730,2.011000000000000120792265079217,660.639999999999986357579473406076,114.000000000000000000000000000000,20,66,1,68,11,1,2,0.000000000000000000000000000000,gelu
86,86_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.754800000000000026467716907064,1.847800000000000109068309939175,765.720000000000027284841053187847,178.000000000000000000000000000000,50,42,1,66,24,1,9,0.002993842920352664770111683623,leaky_relu
87,87_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.278899999999999981259435344327,2.004799999999999915445414444548,679.559999999999945430317893624306,169.000000000000000000000000000000,35,54,1,69,5,1,3,0.000000000000000000000000000000,sigmoid
88,88_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.664499999999999979571896346897,1.131999999999999895194946475385,692.039999999999963620211929082870,181.000000000000000000000000000000,71,20,1,80,15,3,1,0.003689927636538623424017346863,sigmoid
89,89_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.169800000000000006483702463811,2.108600000000000029842794901924,739.379999999999995452526491135359,137.000000000000000000000000000000,80,72,1,85,9,1,1,0.000000000000000000000000000000,relu
90,90_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.098500000000000004218847493576,1.913799999999999945643480714352,726.299999999999954525264911353588,199.000000000000000000000000000000,69,20,2,25,19,3,14,0.000000000000000000000000000000,sigmoid
91,91_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.161399999999999987920773492078,2.389400000000000190425453183707,696.000000000000000000000000000000,126.000000000000000000000000000000,44,68,1,78,3,1,1,0.000000000000000000000000000000,gelu
92,92_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.136099999999999998756550212420,1.858999999999999985789145284798,729.690000000000054569682106375694,127.000000000000000000000000000000,44,59,1,63,37,1,7,0.000000000000000000000000000000,sigmoid
93,93_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.163800000000000001154631945610,1.764100000000000001421085471520,724.019999999999981810105964541435,169.000000000000000000000000000000,20,61,1,70,40,1,16,0.000000000000000000000000000000,sigmoid
94,94_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.355999999999999983124610025698,2.031699999999999839417341718217,669.909999999999968167685437947512,61.000000000000000000000000000000,20,20,1,95,1,3,9,0.025910456544662494038355760040,sigmoid
95,95_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.667599999999999971223019201716,1.215999999999999969801933730196,713.320000000000050022208597511053,168.000000000000000000000000000000,21,21,4,85,39,3,14,0.007229049290819482623260405774,swish
96,96_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.720700000000000007283063041541,1.116500000000000047961634663807,715.330000000000040927261579781771,242.000000000000000000000000000000,20,23,4,37,38,3,13,0.000555745820291206446724097123,gelu
97,97_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.473899999999999987920773492078,2.045799999999999840838427189738,678.549999999999954525264911353588,173.000000000000000000000000000000,60,34,1,4,34,1,9,0.055110439702635696801458209393,leaky_relu
98,98_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.102099999999999996314059558244,1.869599999999999928590455056110,798.720000000000027284841053187847,129.000000000000000000000000000000,20,66,10,93,24,1,20,0.000000000000000000000000000000,relu
99,99_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.196500000000000007993605777301,1.634200000000000096989083431254,782.009999999999990905052982270718,123.000000000000000000000000000000,54,31,11,102,5,1,8,0.000000000000000000000000000000,leaky_relu
</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 »results.csv« as file</button>
<script>
createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
<h1> Errors</h1>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download »oo_errors.txt« as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
âš It seems like the program that was about to be run didn't have 'RESULT: <FLOAT>' in it's output string.
Error: Raw data for an arm is expected to either be a tuple of numerical mean and SEM or just a numerical mean. Got: None for metric 'VAL_LOSS'.
Job-result: {'VAL_ACCURACY': 0.0985, 'VAL_LOSS': None, 'RAM_USAGE': 872.87, 'RUNTIME': 89.0}
Out file /home/h8/s3811141/test/randomtest_13424/omniopt/runs/example_network/13/single_runs/686135/686135_0_log.out contains potential errors:
Program-Code: bash /home/s3811141/test/randomtest_13424/omniopt/.tests/example_network/run.sh --learning_rate=0.059684635140001774 --epochs=31 --validation_split=0.9 --width=64 --height=22 --dense=26 --dense_units=77 --conv=4 --conv_filters=18 --data=data_full --activation=leaky_relu
- The string 'VAL_LOSS: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/home/h8/s3811141/test/randomtest_13424/omniopt/runs/example_network/13/single_runs/686135/686135_0_log.err not found
âš It seems like the program that was about to be run didn't have 'RESULT: <FLOAT>' in it's output string.
Error: Raw data for an arm is expected to either be a tuple of numerical mean and SEM or just a numerical mean. Got: None for metric 'VAL_LOSS'.
Job-result: {'VAL_ACCURACY': 0.0985, 'VAL_LOSS': None, 'RAM_USAGE': 905.98, 'RUNTIME': 83.0}
Out file /home/h8/s3811141/test/randomtest_13424/omniopt/runs/example_network/13/single_runs/686184/686184_0_log.out contains potential errors:
Program-Code: bash /home/s3811141/test/randomtest_13424/omniopt/.tests/example_network/run.sh --learning_rate=0.033798312302678823 --epochs=3 --validation_split=0.9 --width=72 --height=42 --dense=30 --dense_units=84 --conv=2 --conv_filters=12 --data=data_full --activation=leaky_relu
- The string 'VAL_LOSS: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/home/h8/s3811141/test/randomtest_13424/omniopt/runs/example_network/13/single_runs/686184/686184_0_log.err not found
âš It seems like the program that was about to be run didn't have 'RESULT: <FLOAT>' in it's output string.
Error: Raw data for an arm is expected to either be a tuple of numerical mean and SEM or just a numerical mean. Got: None for metric 'VAL_LOSS'.
Job-result: {'VAL_ACCURACY': 0.0985, 'VAL_LOSS': None, 'RAM_USAGE': 910.01, 'RUNTIME': 87.0}
Out file /home/h8/s3811141/test/randomtest_13424/omniopt/runs/example_network/13/single_runs/686189/686189_0_log.out contains potential errors:
Program-Code: bash /home/s3811141/test/randomtest_13424/omniopt/.tests/example_network/run.sh --learning_rate=0.09758637491613627 --epochs=8 --validation_split=0.9 --width=77 --height=54 --dense=19 --dense_units=65 --conv=1 --conv_filters=21 --data=data_full --activation=leaky_relu
- The string 'VAL_LOSS: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/home/h8/s3811141/test/randomtest_13424/omniopt/runs/example_network/13/single_runs/686189/686189_0_log.err not found
âš It seems like the program that was about to be run didn't have 'RESULT: <FLOAT>' in it's output string.
Error: Raw data for an arm is expected to either be a tuple of numerical mean and SEM or just a numerical mean. Got: None for metric 'VAL_LOSS'.
Job-result: {'VAL_ACCURACY': 0.0985, 'VAL_LOSS': None, 'RAM_USAGE': 815.19, 'RUNTIME': 80.0}
Out file /home/h8/s3811141/test/randomtest_13424/omniopt/runs/example_network/13/single_runs/686191/686191_0_log.out contains potential errors:
Program-Code: bash /home/s3811141/test/randomtest_13424/omniopt/.tests/example_network/run.sh --learning_rate=0.04313344303518534 --epochs=23 --validation_split=0.9 --width=26 --height=60 --dense=20 --dense_units=83 --conv=4 --conv_filters=10 --data=data_full --activation=leaky_relu
- The string 'VAL_LOSS: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/home/h8/s3811141/test/randomtest_13424/omniopt/runs/example_network/13/single_runs/686191/686191_0_log.err not found
âš It seems like the program that was about to be run didn't have 'RESULT: <FLOAT>' in it's output string.
Error: Raw data for an arm is expected to either be a tuple of numerical mean and SEM or just a numerical mean. Got: None for metric 'VAL_LOSS'.
Job-result: {'VAL_ACCURACY': 0.0985, 'VAL_LOSS': None, 'RAM_USAGE': 866.84, 'RUNTIME': 80.0}
Out file /home/h8/s3811141/test/randomtest_13424/omniopt/runs/example_network/13/single_runs/686198/686198_0_log.out contains potential errors:
Program-Code: bash /home/s3811141/test/randomtest_13424/omniopt/.tests/example_network/run.sh --learning_rate=0.07548803007230163 --epochs=28 --validation_split=0.9 --width=33 --height=47 --dense=29 --dense_units=66 --conv=3 --conv_filters=23 --data=data_full --activation=leaky_relu
- The string 'VAL_LOSS: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/home/h8/s3811141/test/randomtest_13424/omniopt/runs/example_network/13/single_runs/686198/686198_0_log.err not found
</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download »oo_errors.txt« as file</button>
<h1> Progressbar log</h1>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download »progressbar« as file</button>
<pre id='simple_pre_tab_tab_progressbar_log'>2025-04-11 03:47:35: SOBOL, Started OmniOpt2 run...
2025-04-11 03:47:38: SOBOL, getting new hyperparameter set #1/25
2025-04-11 03:47:38: Sobol, getting new hyperparameter set #2/25 | ETA: 5s
2025-04-11 03:47:38: Sobol, getting new hyperparameter set #3/25 | ETA: 4s
2025-04-11 03:47:38: Sobol, getting new hyperparameter set #4/25 | ETA: 4s
2025-04-11 03:47:39: Sobol, getting new hyperparameter set #5/25 | ETA: 3s
2025-04-11 03:47:39: Sobol, getting new hyperparameter set #6/25 | ETA: 3s
2025-04-11 03:47:39: Sobol, getting new hyperparameter set #7/25 | ETA: 3s
2025-04-11 03:47:39: Sobol, getting new hyperparameter set #8/25 | ETA: 2s
2025-04-11 03:47:39: Sobol, getting new hyperparameter set #9/25 | ETA: 2s
2025-04-11 03:47:39: Sobol, getting new hyperparameter set #10/25 | ETA: 2s
2025-04-11 03:47:40: Sobol, getting new hyperparameter set #11/25 | ETA: 2s
2025-04-11 03:47:40: Sobol, getting new hyperparameter set #12/25 | ETA: 2s
2025-04-11 03:47:40: Sobol, getting new hyperparameter set #13/25 | ETA: 2s
2025-04-11 03:47:40: Sobol, getting new hyperparameter set #14/25 | ETA: 1s
2025-04-11 03:47:40: Sobol, getting new hyperparameter set #15/25 | ETA: 1s
2025-04-11 03:47:40: Sobol, getting new hyperparameter set #16/25 | ETA: 1s
2025-04-11 03:47:41: Sobol, getting new hyperparameter set #17/25 | ETA: 1s
2025-04-11 03:47:41: Sobol, getting new hyperparameter set #18/25 | ETA: 1s
2025-04-11 03:47:41: Sobol, getting new hyperparameter set #19/25 | ETA: 1s
2025-04-11 03:47:41: Sobol, getting new hyperparameter set #20/25 | ETA: 0s
2025-04-11 03:47:41: Sobol, getting new hyperparameter set #21/25 | ETA: 0s
2025-04-11 03:47:41: Sobol, getting new hyperparameter set #22/25 | ETA: 0s
2025-04-11 03:47:42: Sobol, getting new hyperparameter set #23/25 | ETA: 0s
2025-04-11 03:47:42: Sobol, getting new hyperparameter set #24/25 | ETA: 0s
2025-04-11 03:47:42: Sobol, getting new hyperparameter set #25/25 | ETA: 0s
2025-04-11 03:47:42: Sobol, eval start
2025-04-11 03:47:42: Sobol, starting new job
2025-04-11 03:47:44: Sobol, unknown 1 = ∑1/25, started new job
2025-04-11 03:47:44: Sobol, unknown 1 = ∑1/25, eval start
2025-04-11 03:47:44: Sobol, unknown 1 = ∑1/25, starting new job
2025-04-11 03:47:45: Sobol, unknown 2 = ∑2/25, started new job
2025-04-11 03:47:45: Sobol, unknown 2 = ∑2/25, eval start
2025-04-11 03:47:46: Sobol, unknown 2 = ∑2/25, starting new job
2025-04-11 03:47:47: Sobol, pending/unknown 2/1 = ∑3/25, started new job
2025-04-11 03:47:47: Sobol, pending/unknown 2/1 = ∑3/25, eval start
2025-04-11 03:47:47: Sobol, pending/unknown 2/1 = ∑3/25, starting new job
2025-04-11 03:47:48: Sobol, pending/unknown 2/2 = ∑4/25, started new job
2025-04-11 03:47:48: Sobol, pending/unknown 2/2 = ∑4/25, eval start
2025-04-11 03:47:49: Sobol, pending/unknown 2/2 = ∑4/25, starting new job
2025-04-11 03:47:50: Sobol, running/pending/unknown 2/2/1 = ∑5/25, started new job
2025-04-11 03:47:50: Sobol, running/pending/unknown 2/2/1 = ∑5/25, eval start
2025-04-11 03:47:50: Sobol, running/pending/unknown 2/2/1 = ∑5/25, starting new job
2025-04-11 03:47:51: Sobol, running/pending/unknown 2/2/2 = ∑6/25, started new job
2025-04-11 03:47:51: Sobol, running/pending/unknown 2/2/2 = ∑6/25, eval start
2025-04-11 03:47:52: Sobol, running/pending/unknown 2/2/2 = ∑6/25, starting new job
2025-04-11 03:47:53: Sobol, running/pending/unknown 4/2/1 = ∑7/25, started new job
2025-04-11 03:47:53: Sobol, running/pending/unknown 4/2/1 = ∑7/25, eval start
2025-04-11 03:47:53: Sobol, running/pending/unknown 4/2/1 = ∑7/25, starting new job
2025-04-11 03:47:54: Sobol, running/pending/unknown 4/2/2 = ∑8/25, started new job
2025-04-11 03:47:54: Sobol, running/pending/unknown 4/2/2 = ∑8/25, eval start
2025-04-11 03:47:55: Sobol, running/pending/unknown 4/2/2 = ∑8/25, starting new job
2025-04-11 03:47:56: Sobol, running/pending/unknown 4/2/3 = ∑9/25, started new job
2025-04-11 03:47:56: Sobol, running/pending/unknown 4/2/3 = ∑9/25, eval start
2025-04-11 03:47:56: Sobol, running/pending/unknown 4/2/3 = ∑9/25, starting new job
2025-04-11 03:47:57: Sobol, running/pending/unknown 4/5/1 = ∑10/25, started new job
2025-04-11 03:47:58: Sobol, running/pending/unknown 4/5/1 = ∑10/25, eval start
2025-04-11 03:47:58: Sobol, running/pending/unknown 4/5/1 = ∑10/25, starting new job
2025-04-11 03:48:00: Sobol, running/pending/unknown 4/5/2 = ∑11/25, started new job
2025-04-11 03:48:00: Sobol, running/pending/unknown 4/5/2 = ∑11/25, eval start
2025-04-11 03:48:00: Sobol, running/pending/unknown 4/5/2 = ∑11/25, starting new job
2025-04-11 03:48:02: Sobol, running/pending/unknown 4/5/3 = ∑12/25, started new job
2025-04-11 03:48:02: Sobol, running/pending/unknown 4/5/3 = ∑12/25, eval start
2025-04-11 03:48:02: Sobol, running/pending/unknown 4/5/3 = ∑12/25, starting new job
2025-04-11 03:48:03: Sobol, running/pending/unknown 4/8/1 = ∑13/25, started new job
2025-04-11 03:48:03: Sobol, running/pending/unknown 4/8/1 = ∑13/25, eval start
2025-04-11 03:48:04: Sobol, running/pending/unknown 4/8/1 = ∑13/25, starting new job
2025-04-11 03:48:05: Sobol, running/pending/unknown 4/8/2 = ∑14/25, started new job
2025-04-11 03:48:05: Sobol, running/pending/unknown 4/8/2 = ∑14/25, eval start
2025-04-11 03:48:05: Sobol, running/pending/unknown 4/8/2 = ∑14/25, starting new job
2025-04-11 03:48:06: Sobol, running/pending/unknown 4/8/3 = ∑15/25, started new job
2025-04-11 03:48:06: Sobol, running/pending/unknown 4/8/3 = ∑15/25, eval start
2025-04-11 03:48:07: Sobol, running/pending/unknown 4/8/3 = ∑15/25, starting new job
2025-04-11 03:48:08: Sobol, running/pending/unknown 4/11/1 = ∑16/25, started new job
2025-04-11 03:48:08: Sobol, running/pending/unknown 4/11/1 = ∑16/25, eval start
2025-04-11 03:48:08: Sobol, running/pending/unknown 4/11/1 = ∑16/25, starting new job
2025-04-11 03:48:09: Sobol, running/pending/unknown 4/11/2 = ∑17/25, started new job
2025-04-11 03:48:09: Sobol, running/pending/unknown 4/11/2 = ∑17/25, eval start
2025-04-11 03:48:10: Sobol, running/pending/unknown 4/11/2 = ∑17/25, starting new job
2025-04-11 03:48:11: Sobol, running/pending/unknown 15/2/1 = ∑18/25, started new job
2025-04-11 03:48:11: Sobol, running/pending/unknown 15/2/1 = ∑18/25, eval start
2025-04-11 03:48:11: Sobol, running/pending/unknown 15/2/1 = ∑18/25, starting new job
2025-04-11 03:48:12: Sobol, running/pending/unknown 17/1/1 = ∑19/25, started new job
2025-04-11 03:48:12: Sobol, running/pending/unknown 17/1/1 = ∑19/25, eval start
2025-04-11 03:48:13: Sobol, running/pending/unknown 17/1/1 = ∑19/25, starting new job
2025-04-11 03:48:14: Sobol, running/pending/unknown 17/1/2 = ∑20/25, started new job
2025-04-11 03:48:14: Sobol, running/pending/unknown 17/1/2 = ∑20/25, eval start
2025-04-11 03:48:14: Sobol, running/pending/unknown 17/1/2 = ∑20/25, starting new job
2025-04-11 03:48:15: Sobol, running/pending/unknown 17/1/3 = ∑21/25, started new job
2025-04-11 03:48:15: Sobol, running/pending/unknown 17/1/3 = ∑21/25, eval start
2025-04-11 03:48:16: Sobol, running/pending/unknown 17/1/3 = ∑21/25, starting new job
2025-04-11 03:48:17: Sobol, running/pending/unknown 17/1/4 = ∑22/25, started new job
2025-04-11 03:48:17: Sobol, running/pending/unknown 17/1/4 = ∑22/25, eval start
2025-04-11 03:48:17: Sobol, running/pending/unknown 17/1/4 = ∑22/25, starting new job
2025-04-11 03:48:18: Sobol, running/pending/unknown 17/5/1 = ∑23/25, started new job
2025-04-11 03:48:18: Sobol, running/pending/unknown 17/5/1 = ∑23/25, eval start
2025-04-11 03:48:19: Sobol, running/pending/unknown 17/5/1 = ∑23/25, starting new job
2025-04-11 03:48:20: Sobol, running/pending/unknown 17/5/2 = ∑24/25, started new job
2025-04-11 03:48:20: Sobol, running/pending/unknown 17/5/2 = ∑24/25, eval start
2025-04-11 03:48:20: Sobol, running/pending/unknown 17/5/2 = ∑24/25, starting new job
2025-04-11 03:48:21: Sobol, running/pending/unknown 17/5/3 = ∑25/25, started new job
2025-04-11 03:48:35: Sobol, running 25 = ∑25/25, got 25, requested 25
2025-04-11 03:48:42: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:48:53: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:49:04: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:49:15: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:49:25: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:49:36: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:49:47: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:49:58: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:50:08: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:50:18: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:50:29: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:50:40: Sobol, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:50:48: Sobol, running 25 = ∑25/25, new result: 0.303
2025-04-11 03:50:56: Sobol, 1 done, running 24 = ∑24/25, new result: 0.303
2025-04-11 03:51:06: Sobol, 2 done, running/completed 19/4 = ∑23/25, new result: 0.2789
2025-04-11 03:51:14: Sobol, 3 done, running/completed 19/3 = ∑22/25, new result: 0.2789
2025-04-11 03:51:22: Sobol, 4 done, running/completed 19/2 = ∑21/25, new result: 0.452
2025-04-11 03:51:31: Sobol, 5 done, running/completed 19/1 = ∑20/25, new result: 0.2097
2025-04-11 03:51:38: Sobol, 6 done, running 19 = ∑19/25, waiting for 25 jobs, finished 6 jobs
2025-04-11 03:51:38: Sobol, 6 done, running 19 = ∑19/25, waiting for 19 jobs
2025-04-11 03:51:45: Sobol, 6 done, running 19 = ∑19/25, new result: 0.4198
2025-04-11 03:51:54: Sobol, 7 done, running 18 = ∑18/25, new result: 0.2789
2025-04-11 03:52:02: Sobol, 8 done, running 17 = ∑17/25, new result: 0.303
2025-04-11 03:52:10: Sobol, 9 done, running 16 = ∑16/25, new result: 0.303
2025-04-11 03:52:18: Sobol, 10 done, running 15 = ∑15/25, new result: 0.2789
2025-04-11 03:52:27: Sobol, 11 done, running 14 = ∑14/25, new result: 0.303
2025-04-11 03:52:36: Sobol, 12 done, running 13 = ∑13/25, waiting for 19 jobs, finished 6 jobs
2025-04-11 03:52:36: Sobol, 12 done, running 13 = ∑13/25, waiting for 13 jobs
2025-04-11 03:52:42: Sobol, 12 done, running 13 = ∑13/25, new result: 0.279
2025-04-11 03:52:50: Sobol, 13 done, running 12 = ∑12/25, new result: 0.1966
2025-04-11 03:52:58: Sobol, 14 done, running 11 = ∑11/25, new result: 0.2796
2025-04-11 03:53:07: Sobol, 15 done, running 10 = ∑10/25, new result: 0.303
2025-04-11 03:53:15: Sobol, 16 done, running 9 = ∑9/25, new result: 0.303
2025-04-11 03:53:24: Sobol, 17 done, running 8 = ∑8/25, new result: 0.6086
2025-04-11 03:53:33: Sobol, 18 done, running 7 = ∑7/25, waiting for 13 jobs, finished 6 jobs
2025-04-11 03:53:33: Sobol, 18 done, running 7 = ∑7/25, waiting for 7 jobs
2025-04-11 03:53:39: Sobol, 18 done, running 7 = ∑7/25, new result: 0.303
2025-04-11 03:53:47: Sobol, 19 done, running 6 = ∑6/25, waiting for 7 jobs, finished 1 job
2025-04-11 03:53:47: Sobol, 19 done, running 6 = ∑6/25, waiting for 6 jobs
2025-04-11 03:53:54: Sobol, 19 done, running 6 = ∑6/25, waiting for 6 jobs
2025-04-11 03:54:00: Sobol, 19 done, running 6 = ∑6/25, new result: 0.303
2025-04-11 03:54:09: Sobol, 20 done, running 5 = ∑5/25, new result: 0.2577
2025-04-11 03:54:17: Sobol, 21 done, running 4 = ∑4/25, waiting for 6 jobs, finished 2 jobs
2025-04-11 03:54:18: Sobol, 21 done, running 4 = ∑4/25, waiting for 4 jobs
2025-04-11 03:54:24: Sobol, 21 done, running 4 = ∑4/25, waiting for 4 jobs
2025-04-11 03:54:30: Sobol, 21 done, running 4 = ∑4/25, waiting for 4 jobs
2025-04-11 03:54:37: Sobol, 21 done, running 4 = ∑4/25, waiting for 4 jobs
2025-04-11 03:54:43: Sobol, 21 done, running 4 = ∑4/25, waiting for 4 jobs
2025-04-11 03:54:49: Sobol, 21 done, running 4 = ∑4/25, waiting for 4 jobs
2025-04-11 03:54:56: Sobol, 21 done, running 4 = ∑4/25, waiting for 4 jobs
2025-04-11 03:55:01: Sobol, 21 done, running 4 = ∑4/25, new result: 0.303
2025-04-11 03:55:08: Sobol, 22 done, running 3 = ∑3/25, new result: 0.303
2025-04-11 03:55:15: Sobol, 23 done, running 2 = ∑2/25, waiting for 4 jobs, finished 2 jobs
2025-04-11 03:55:15: Sobol, 23 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 03:55:21: Sobol, 23 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 03:55:27: Sobol, 23 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 03:55:32: Sobol, 23 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 03:55:38: Sobol, 23 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 03:55:44: Sobol, 23 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 03:55:50: Sobol, 23 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 03:55:55: Sobol, 23 done, running 2 = ∑2/25, new result: 0.2462
2025-04-11 03:56:04: Sobol, 24 done, running 1 = ∑1/25, waiting for 2 jobs, finished 1 job
2025-04-11 03:56:04: Sobol, 24 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 03:56:09: Sobol, 24 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 03:56:15: Sobol, 24 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 03:56:20: Sobol, 24 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 03:56:26: Sobol, 24 done, running 1 = ∑1/25, new result: 0.303
2025-04-11 03:56:33: Sobol, 25 done, waiting for 1 job), finished 1 job
2025-04-11 03:56:34: Sobol, 25 done, getting new hyperparameter set #1/25
2025-04-11 03:56:34: Sobol, 25 done, getting new hyperparameter set #2/25 | ETA: 3s
2025-04-11 03:56:34: Sobol, 25 done, getting new hyperparameter set #3/25 | ETA: 3s
2025-04-11 03:56:34: Sobol, 25 done, getting new hyperparameter set #4/25 | ETA: 3s
2025-04-11 03:56:34: Sobol, 25 done, getting new hyperparameter set #5/25 | ETA: 3s
2025-04-11 03:56:35: Sobol, 25 done, getting new hyperparameter set #6/25 | ETA: 3s
2025-04-11 03:56:35: Sobol, 25 done, getting new hyperparameter set #7/25 | ETA: 3s
2025-04-11 03:56:35: Sobol, 25 done, getting new hyperparameter set #8/25 | ETA: 2s
2025-04-11 03:56:35: Sobol, 25 done, getting new hyperparameter set #9/25 | ETA: 2s
2025-04-11 03:56:36: Sobol, 25 done, getting new hyperparameter set #10/25 | ETA: 2s
2025-04-11 03:56:36: Sobol, 25 done, getting new hyperparameter set #11/25 | ETA: 2s
2025-04-11 03:56:36: Sobol, 25 done, getting new hyperparameter set #12/25 | ETA: 2s
2025-04-11 03:56:36: Sobol, 25 done, getting new hyperparameter set #13/25 | ETA: 2s
2025-04-11 03:56:37: Sobol, 25 done, getting new hyperparameter set #14/25 | ETA: 1s
2025-04-11 03:56:37: Sobol, 25 done, getting new hyperparameter set #15/25 | ETA: 1s
2025-04-11 03:56:37: Sobol, 25 done, getting new hyperparameter set #16/25 | ETA: 1s
2025-04-11 03:56:37: Sobol, 25 done, getting new hyperparameter set #17/25 | ETA: 1s
2025-04-11 03:56:37: Sobol, 25 done, getting new hyperparameter set #18/25 | ETA: 1s
2025-04-11 03:56:38: Sobol, 25 done, getting new hyperparameter set #19/25 | ETA: 1s
2025-04-11 03:56:38: Sobol, 25 done, getting new hyperparameter set #20/25 | ETA: 1s
2025-04-11 03:56:38: Sobol, 25 done, getting new hyperparameter set #21/25 | ETA: 0s
2025-04-11 03:56:38: Sobol, 25 done, getting new hyperparameter set #22/25 | ETA: 0s
2025-04-11 03:56:39: Sobol, 25 done, getting new hyperparameter set #23/25 | ETA: 0s
2025-04-11 03:56:39: Sobol, 25 done, getting new hyperparameter set #24/25 | ETA: 0s
2025-04-11 03:56:39: Sobol, 25 done, getting new hyperparameter set #25/25 | ETA: 0s
2025-04-11 03:56:40: Sobol, 25 done, eval start
2025-04-11 03:56:40: Sobol, 25 done, starting new job
2025-04-11 03:56:41: Sobol, 25 done, unknown 1 = ∑1/25, started new job
2025-04-11 03:56:41: Sobol, 25 done, unknown 1 = ∑1/25, eval start
2025-04-11 03:56:41: Sobol, 25 done, unknown 1 = ∑1/25, starting new job
2025-04-11 03:56:43: Sobol, 25 done, unknown 2 = ∑2/25, started new job
2025-04-11 03:56:43: Sobol, 25 done, unknown 2 = ∑2/25, eval start
2025-04-11 03:56:43: Sobol, 25 done, unknown 2 = ∑2/25, starting new job
2025-04-11 03:56:45: Sobol, 25 done, unknown 3 = ∑3/25, started new job
2025-04-11 03:56:45: Sobol, 25 done, unknown 3 = ∑3/25, eval start
2025-04-11 03:56:45: Sobol, 25 done, unknown 3 = ∑3/25, starting new job
2025-04-11 03:56:46: Sobol, 25 done, pending/unknown 3/1 = ∑4/25, started new job
2025-04-11 03:56:47: Sobol, 25 done, pending/unknown 3/1 = ∑4/25, eval start
2025-04-11 03:56:47: Sobol, 25 done, pending/unknown 3/1 = ∑4/25, starting new job
2025-04-11 03:56:48: Sobol, 25 done, pending/unknown 3/2 = ∑5/25, started new job
2025-04-11 03:56:48: Sobol, 25 done, pending/unknown 3/2 = ∑5/25, eval start
2025-04-11 03:56:48: Sobol, 25 done, pending/unknown 3/2 = ∑5/25, starting new job
2025-04-11 03:56:50: Sobol, 25 done, pending/unknown 5/1 = ∑6/25, started new job
2025-04-11 03:56:50: Sobol, 25 done, pending/unknown 5/1 = ∑6/25, eval start
2025-04-11 03:56:50: Sobol, 25 done, pending/unknown 5/1 = ∑6/25, starting new job
2025-04-11 03:56:51: Sobol, 25 done, pending/unknown 5/2 = ∑7/25, started new job
2025-04-11 03:56:52: Sobol, 25 done, pending/unknown 5/2 = ∑7/25, eval start
2025-04-11 03:56:52: Sobol, 25 done, pending/unknown 5/2 = ∑7/25, starting new job
2025-04-11 03:56:53: Sobol, 25 done, pending/unknown 5/3 = ∑8/25, started new job
2025-04-11 03:56:54: Sobol, 25 done, pending/unknown 5/3 = ∑8/25, eval start
2025-04-11 03:56:54: Sobol, 25 done, pending/unknown 5/3 = ∑8/25, starting new job
2025-04-11 03:56:55: Sobol, 25 done, pending/unknown 8/1 = ∑9/25, started new job
2025-04-11 03:56:55: Sobol, 25 done, pending/unknown 8/1 = ∑9/25, eval start
2025-04-11 03:56:55: Sobol, 25 done, pending/unknown 8/1 = ∑9/25, starting new job
2025-04-11 03:56:57: Sobol, 25 done, running/pending/unknown 8/1/1 = ∑10/25, started new job
2025-04-11 03:56:57: Sobol, 25 done, running/pending/unknown 8/1/1 = ∑10/25, eval start
2025-04-11 03:56:57: Sobol, 25 done, running/pending/unknown 8/1/1 = ∑10/25, starting new job
2025-04-11 03:56:58: Sobol, 25 done, running/pending/unknown 8/1/2 = ∑11/25, started new job
2025-04-11 03:56:59: Sobol, 25 done, running/pending/unknown 8/1/2 = ∑11/25, eval start
2025-04-11 03:56:59: Sobol, 25 done, running/pending/unknown 8/1/2 = ∑11/25, starting new job
2025-04-11 03:57:00: Sobol, 25 done, running/pending/unknown 9/2/1 = ∑12/25, started new job
2025-04-11 03:57:00: Sobol, 25 done, running/pending/unknown 9/2/1 = ∑12/25, eval start
2025-04-11 03:57:01: Sobol, 25 done, running/pending/unknown 9/2/1 = ∑12/25, starting new job
2025-04-11 03:57:02: Sobol, 25 done, running/pending/unknown 9/2/2 = ∑13/25, started new job
2025-04-11 03:57:02: Sobol, 25 done, running/pending/unknown 9/2/2 = ∑13/25, eval start
2025-04-11 03:57:02: Sobol, 25 done, running/pending/unknown 9/2/2 = ∑13/25, starting new job
2025-04-11 03:57:04: Sobol, 25 done, running/pending/unknown 9/2/3 = ∑14/25, started new job
2025-04-11 03:57:04: Sobol, 25 done, running/pending/unknown 9/2/3 = ∑14/25, eval start
2025-04-11 03:57:04: Sobol, 25 done, running/pending/unknown 9/2/3 = ∑14/25, starting new job
2025-04-11 03:57:05: Sobol, 25 done, running/pending/unknown 9/5/1 = ∑15/25, started new job
2025-04-11 03:57:06: Sobol, 25 done, running/pending/unknown 9/5/1 = ∑15/25, eval start
2025-04-11 03:57:06: Sobol, 25 done, running/pending/unknown 9/5/1 = ∑15/25, starting new job
2025-04-11 03:57:08: Sobol, 25 done, running/pending/unknown 9/5/2 = ∑16/25, started new job
2025-04-11 03:57:08: Sobol, 25 done, running/pending/unknown 9/5/2 = ∑16/25, eval start
2025-04-11 03:57:08: Sobol, 25 done, running/pending/unknown 9/5/2 = ∑16/25, starting new job
2025-04-11 03:57:10: Sobol, 25 done, running/pending/unknown 9/5/3 = ∑17/25, started new job
2025-04-11 03:57:10: Sobol, 25 done, running/pending/unknown 9/5/3 = ∑17/25, eval start
2025-04-11 03:57:10: Sobol, 25 done, running/pending/unknown 9/5/3 = ∑17/25, starting new job
2025-04-11 03:57:12: Sobol, 25 done, running/unknown 17/1 = ∑18/25, started new job
2025-04-11 03:57:12: Sobol, 25 done, running/unknown 17/1 = ∑18/25, eval start
2025-04-11 03:57:12: Sobol, 25 done, running/unknown 17/1 = ∑18/25, starting new job
2025-04-11 03:57:14: Sobol, 25 done, running/unknown 17/2 = ∑19/25, started new job
2025-04-11 03:57:14: Sobol, 25 done, running/unknown 17/2 = ∑19/25, eval start
2025-04-11 03:57:14: Sobol, 25 done, running/unknown 17/2 = ∑19/25, starting new job
2025-04-11 03:57:16: Sobol, 25 done, running/pending/unknown 17/2/1 = ∑20/25, started new job
2025-04-11 03:57:16: Sobol, 25 done, running/pending/unknown 17/2/1 = ∑20/25, eval start
2025-04-11 03:57:16: Sobol, 25 done, running/pending/unknown 17/2/1 = ∑20/25, starting new job
2025-04-11 03:57:18: Sobol, 25 done, running/pending/unknown 19/1/1 = ∑21/25, started new job
2025-04-11 03:57:18: Sobol, 25 done, running/pending/unknown 19/1/1 = ∑21/25, eval start
2025-04-11 03:57:18: Sobol, 25 done, running/pending/unknown 19/1/1 = ∑21/25, starting new job
2025-04-11 03:57:20: Sobol, 25 done, running/pending/unknown 19/1/2 = ∑22/25, started new job
2025-04-11 03:57:20: Sobol, 25 done, running/pending/unknown 19/1/2 = ∑22/25, eval start
2025-04-11 03:57:20: Sobol, 25 done, running/pending/unknown 19/1/2 = ∑22/25, starting new job
2025-04-11 03:57:22: Sobol, 25 done, running/pending/unknown 20/2/1 = ∑23/25, started new job
2025-04-11 03:57:22: Sobol, 25 done, running/pending/unknown 20/2/1 = ∑23/25, eval start
2025-04-11 03:57:22: Sobol, 25 done, running/pending/unknown 20/2/1 = ∑23/25, starting new job
2025-04-11 03:57:24: Sobol, 25 done, running/pending/unknown 20/2/2 = ∑24/25, started new job
2025-04-11 03:57:24: Sobol, 25 done, running/pending/unknown 20/2/2 = ∑24/25, eval start
2025-04-11 03:57:24: Sobol, 25 done, running/pending/unknown 20/2/2 = ∑24/25, starting new job
2025-04-11 03:57:27: Sobol, 25 done, running/pending/unknown 20/4/1 = ∑25/25, started new job
2025-04-11 03:57:53: Sobol, 25 done, running 25 = ∑25/25, got 25, requested 25
2025-04-11 03:58:08: Sobol, 25 done, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:58:27: Sobol, 25 done, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:58:46: Sobol, 25 done, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 03:58:58: Sobol, 25 done, running 25 = ∑25/25, job_failed
2025-04-11 03:59:13: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 25 done, running 24 = ∑24/25, new result: 0.3043
2025-04-11 03:59:28: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 26 done, running 23 = ∑23/25, waiting for 25 jobs, finished 2 jobs
2025-04-11 03:59:28: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 26 done, running 23 = ∑23/25, waiting for 23 jobs
2025-04-11 03:59:35: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 26 done, running/completed 18/5 = ∑23/25, new result: 0.303
2025-04-11 03:59:44: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 27 done, running/completed 18/4 = ∑22/25, new result: 0.4447
2025-04-11 03:59:56: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 28 done, running/completed 18/3 = ∑21/25, new result: 0.2789
2025-04-11 04:00:06: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 29 done, running/completed 18/2 = ∑20/25, new result: 0.303
2025-04-11 04:00:17: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 30 done, running/completed 18/1 = ∑19/25, new result: 0.303
2025-04-11 04:00:29: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 31 done, running/completed 17/1 = ∑18/25, new result: 0.303
2025-04-11 04:00:41: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 32 done, running 17 = ∑17/25, new result: 0.2789
2025-04-11 04:00:52: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 33 done, running 16 = ∑16/25, new result: 0.303
2025-04-11 04:01:03: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 34 done, running 15 = ∑15/25, waiting for 23 jobs, finished 8 jobs
2025-04-11 04:01:03: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 34 done, running 15 = ∑15/25, waiting for 15 jobs
2025-04-11 04:01:09: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 34 done, running 15 = ∑15/25, new result: 0.2789
2025-04-11 04:01:21: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 35 done, running 14 = ∑14/25, new result: 0.2789
2025-04-11 04:01:36: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 36 done, running 13 = ∑13/25, new result: 0.3522
2025-04-11 04:01:47: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 37 done, running/completed 7/5 = ∑12/25, new result: 0.303
2025-04-11 04:02:02: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 38 done, running/completed 7/4 = ∑11/25, new result: 0.303
2025-04-11 04:02:12: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 39 done, running/completed 7/3 = ∑10/25, new result: 0.5953
2025-04-11 04:02:22: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 40 done, running/completed 7/2 = ∑9/25, new result: 0.1232
2025-04-11 04:02:32: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 41 done, running/completed 7/1 = ∑8/25, new result: 0.2427
2025-04-11 04:02:45: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 42 done, running 7 = ∑7/25, new result: 0.2903
2025-04-11 04:02:57: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 43 done, running 6 = ∑6/25, waiting for 15 jobs, finished 9 jobs
2025-04-11 04:02:57: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 43 done, running 6 = ∑6/25, waiting for 6 jobs
2025-04-11 04:03:05: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 43 done, running 6 = ∑6/25, new result: 0.0985
2025-04-11 04:03:14: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 44 done, running 5 = ∑5/25, new result: 0.3511
2025-04-11 04:03:24: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 45 done, running 4 = ∑4/25, new result: 0.2789
2025-04-11 04:03:34: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 46 done, running 3 = ∑3/25, waiting for 6 jobs, finished 3 jobs
2025-04-11 04:03:34: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 46 done, running 3 = ∑3/25, waiting for 3 jobs
2025-04-11 04:03:41: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 46 done, running 3 = ∑3/25, waiting for 3 jobs
2025-04-11 04:03:49: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 46 done, running 3 = ∑3/25, waiting for 3 jobs
2025-04-11 04:03:55: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 46 done, running 3 = ∑3/25, new result: 0.2791
2025-04-11 04:04:05: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 3 jobs, finished 1 job
2025-04-11 04:04:05: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:04:12: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:04:19: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:04:26: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:04:33: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:04:40: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:04:47: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:04:54: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:05:01: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:05:08: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:05:14: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:05:21: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:05:28: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:05:35: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:05:42: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:05:49: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:05:55: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:06:03: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:06:09: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:06:16: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:06:24: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:06:30: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:06:37: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:06:44: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:06:51: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:06:58: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:07:05: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:07:11: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:07:18: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:07:25: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:07:32: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:07:39: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:07:46: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, waiting for 2 jobs
2025-04-11 04:07:51: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 47 done, running 2 = ∑2/25, new result: 0.303
2025-04-11 04:08:01: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 2 jobs, finished 1 job
2025-04-11 04:08:01: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:08:08: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:08:14: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:08:20: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:08:26: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:08:33: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:08:39: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:08:45: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:08:51: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:08:58: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:09:04: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:09:10: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:09:16: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:09:23: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:09:29: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:09:35: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:09:41: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:09:48: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:09:54: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:10:00: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:10:06: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:10:12: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:10:19: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:10:25: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:10:31: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:10:37: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:10:44: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:10:50: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:10:56: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:11:02: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:11:09: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:11:15: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:11:21: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:11:27: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:11:33: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:11:40: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:11:46: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:11:52: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:11:58: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:12:04: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:12:11: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:12:17: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:12:23: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:12:30: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:12:36: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:12:42: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:12:48: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:12:55: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:13:01: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:13:07: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:13:13: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:13:19: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:13:26: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:13:32: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:13:38: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:13:44: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:13:51: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:13:57: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:14:03: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:14:09: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:14:16: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:14:22: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:14:28: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:14:34: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:14:41: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:14:47: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:14:53: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:14:59: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:15:06: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:15:12: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:15:18: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:15:24: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:15:30: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:15:37: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:15:43: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:15:49: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:15:55: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 48 done, running 1 = ∑1/25, new result: 0.3147
2025-04-11 04:16:06: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, waiting for 1 job), finished 1 job
2025-04-11 04:16:07: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #1/25
2025-04-11 04:16:07: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #2/25 | ETA: 5s
2025-04-11 04:16:08: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #3/25 | ETA: 4s
2025-04-11 04:16:08: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #4/25 | ETA: 4s
2025-04-11 04:16:08: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #5/25 | ETA: 4s
2025-04-11 04:16:08: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #6/25 | ETA: 3s
2025-04-11 04:16:09: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #7/25 | ETA: 3s
2025-04-11 04:16:09: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #8/25 | ETA: 3s
2025-04-11 04:16:09: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #9/25 | ETA: 3s
2025-04-11 04:16:09: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #10/25 | ETA: 3s
2025-04-11 04:16:10: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #11/25 | ETA: 2s
2025-04-11 04:16:10: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #12/25 | ETA: 2s
2025-04-11 04:16:10: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #13/25 | ETA: 2s
2025-04-11 04:16:10: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #14/25 | ETA: 2s
2025-04-11 04:16:11: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #15/25 | ETA: 2s
2025-04-11 04:16:11: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #16/25 | ETA: 2s
2025-04-11 04:16:11: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #17/25 | ETA: 1s
2025-04-11 04:16:12: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #18/25 | ETA: 1s
2025-04-11 04:16:12: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #19/25 | ETA: 1s
2025-04-11 04:16:12: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #20/25 | ETA: 1s
2025-04-11 04:16:12: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #21/25 | ETA: 1s
2025-04-11 04:16:13: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #22/25 | ETA: 0s
2025-04-11 04:16:13: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #23/25 | ETA: 0s
2025-04-11 04:16:13: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #24/25 | ETA: 0s
2025-04-11 04:16:14: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, getting new hyperparameter set #25/25 | ETA: 0s
2025-04-11 04:16:14: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, eval start
2025-04-11 04:16:14: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, starting new job
2025-04-11 04:16:15: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, unknown 1 = ∑1/25, started new job
2025-04-11 04:16:16: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, unknown 1 = ∑1/25, eval start
2025-04-11 04:16:16: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, unknown 1 = ∑1/25, starting new job
2025-04-11 04:16:17: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, unknown 2 = ∑2/25, started new job
2025-04-11 04:16:18: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, unknown 2 = ∑2/25, eval start
2025-04-11 04:16:18: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, unknown 2 = ∑2/25, starting new job
2025-04-11 04:16:19: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending 3 = ∑3/25, started new job
2025-04-11 04:16:19: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending 3 = ∑3/25, eval start
2025-04-11 04:16:20: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending 3 = ∑3/25, starting new job
2025-04-11 04:16:21: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 3/1 = ∑4/25, started new job
2025-04-11 04:16:21: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 3/1 = ∑4/25, eval start
2025-04-11 04:16:21: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 3/1 = ∑4/25, starting new job
2025-04-11 04:16:23: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 3/2 = ∑5/25, started new job
2025-04-11 04:16:23: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 3/2 = ∑5/25, eval start
2025-04-11 04:16:23: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 3/2 = ∑5/25, starting new job
2025-04-11 04:16:24: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 5/1 = ∑6/25, started new job
2025-04-11 04:16:25: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 5/1 = ∑6/25, eval start
2025-04-11 04:16:25: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 5/1 = ∑6/25, starting new job
2025-04-11 04:16:26: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 5/2 = ∑7/25, started new job
2025-04-11 04:16:26: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 5/2 = ∑7/25, eval start
2025-04-11 04:16:27: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 5/2 = ∑7/25, starting new job
2025-04-11 04:16:28: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 5/3 = ∑8/25, started new job
2025-04-11 04:16:28: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 5/3 = ∑8/25, eval start
2025-04-11 04:16:28: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 5/3 = ∑8/25, starting new job
2025-04-11 04:16:30: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 8/1 = ∑9/25, started new job
2025-04-11 04:16:30: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 8/1 = ∑9/25, eval start
2025-04-11 04:16:30: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 8/1 = ∑9/25, starting new job
2025-04-11 04:16:31: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 8/2 = ∑10/25, started new job
2025-04-11 04:16:32: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 8/2 = ∑10/25, eval start
2025-04-11 04:16:32: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 8/2 = ∑10/25, starting new job
2025-04-11 04:16:33: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 8/3 = ∑11/25, started new job
2025-04-11 04:16:33: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 8/3 = ∑11/25, eval start
2025-04-11 04:16:33: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, pending/unknown 8/3 = ∑11/25, starting new job
2025-04-11 04:16:35: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 2/9/1 = ∑12/25, started new job
2025-04-11 04:16:35: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 2/9/1 = ∑12/25, eval start
2025-04-11 04:16:35: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 2/9/1 = ∑12/25, starting new job
2025-04-11 04:16:36: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 11/2 = ∑13/25, started new job
2025-04-11 04:16:37: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 11/2 = ∑13/25, eval start
2025-04-11 04:16:37: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 11/2 = ∑13/25, starting new job
2025-04-11 04:16:38: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 11/3 = ∑14/25, started new job
2025-04-11 04:16:39: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 11/3 = ∑14/25, eval start
2025-04-11 04:16:39: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 11/3 = ∑14/25, starting new job
2025-04-11 04:16:40: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 14/1 = ∑15/25, started new job
2025-04-11 04:16:40: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 14/1 = ∑15/25, eval start
2025-04-11 04:16:41: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 14/1 = ∑15/25, starting new job
2025-04-11 04:16:42: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 14/2 = ∑16/25, started new job
2025-04-11 04:16:42: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 14/2 = ∑16/25, eval start
2025-04-11 04:16:42: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 14/2 = ∑16/25, starting new job
2025-04-11 04:16:44: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 14/3 = ∑17/25, started new job
2025-04-11 04:16:44: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 14/3 = ∑17/25, eval start
2025-04-11 04:16:44: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 14/3 = ∑17/25, starting new job
2025-04-11 04:16:46: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/3/1 = ∑18/25, started new job
2025-04-11 04:16:46: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/3/1 = ∑18/25, eval start
2025-04-11 04:16:46: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/3/1 = ∑18/25, starting new job
2025-04-11 04:16:48: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/3/2 = ∑19/25, started new job
2025-04-11 04:16:48: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/3/2 = ∑19/25, eval start
2025-04-11 04:16:48: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/3/2 = ∑19/25, starting new job
2025-04-11 04:16:50: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/3/3 = ∑20/25, started new job
2025-04-11 04:16:50: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/3/3 = ∑20/25, eval start
2025-04-11 04:16:50: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/3/3 = ∑20/25, starting new job
2025-04-11 04:16:52: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/6/1 = ∑21/25, started new job
2025-04-11 04:16:52: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/6/1 = ∑21/25, eval start
2025-04-11 04:16:52: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/6/1 = ∑21/25, starting new job
2025-04-11 04:16:54: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/6/2 = ∑22/25, started new job
2025-04-11 04:16:54: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/6/2 = ∑22/25, eval start
2025-04-11 04:16:54: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/pending/unknown 14/6/2 = ∑22/25, starting new job
2025-04-11 04:16:56: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 22/1 = ∑23/25, started new job
2025-04-11 04:16:56: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 22/1 = ∑23/25, eval start
2025-04-11 04:16:56: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 22/1 = ∑23/25, starting new job
2025-04-11 04:16:58: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 22/2 = ∑24/25, started new job
2025-04-11 04:16:58: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 22/2 = ∑24/25, eval start
2025-04-11 04:16:58: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 22/2 = ∑24/25, starting new job
2025-04-11 04:17:00: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/unknown 22/3 = ∑25/25, started new job
2025-04-11 04:17:35: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running 25 = ∑25/25, got 25, requested 25
2025-04-11 04:18:01: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running 25 = ∑25/25, waiting for 25 jobs
2025-04-11 04:18:13: Sobol, failed: 1 ('VAL_LOSS: <FLOAT>' not found), 49 done, running 25 = ∑25/25, job_failed
2025-04-11 04:18:30: Sobol, failed: 2 ('VAL_LOSS: <FLOAT>' not found), 49 done, running 24 = ∑24/25, job_failed
2025-04-11 04:18:43: Sobol, failed: 3 ('VAL_LOSS: <FLOAT>' not found), 49 done, running 23 = ∑23/25, job_failed
2025-04-11 04:19:03: Sobol, failed: 4 ('VAL_LOSS: <FLOAT>' not found), 49 done, running/completed 21/1 = ∑22/25, job_failed
2025-04-11 04:19:19: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 49 done, running 21 = ∑21/25, waiting for 25 jobs, finished 4 jobs
2025-04-11 04:19:19: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 49 done, running 21 = ∑21/25, waiting for 21 jobs
2025-04-11 04:19:32: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 49 done, running 21 = ∑21/25, new result: 0.303
2025-04-11 04:19:48: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 50 done, running 20 = ∑20/25, new result: 0.2789
2025-04-11 04:20:00: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 51 done, running 19 = ∑19/25, new result: 0.303
2025-04-11 04:20:12: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 52 done, running 18 = ∑18/25, new result: 0.2789
2025-04-11 04:20:25: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 53 done, running 17 = ∑17/25, new result: 0.6108
2025-04-11 04:20:37: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 54 done, running 16 = ∑16/25, new result: 0.303
2025-04-11 04:20:51: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 55 done, running 15 = ∑15/25, new result: 0.2789
2025-04-11 04:21:03: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 56 done, running/completed 10/4 = ∑14/25, new result: 0.303
2025-04-11 04:21:15: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 57 done, running/completed 10/3 = ∑13/25, waiting for 21 jobs, finished 8 jobs
2025-04-11 04:21:15: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 57 done, running/completed 10/3 = ∑13/25, waiting for 13 jobs
2025-04-11 04:21:21: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 57 done, running/completed 10/3 = ∑13/25, new result: 0.2789
2025-04-11 04:21:34: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 58 done, running/completed 10/2 = ∑12/25, new result: 0.2789
2025-04-11 04:21:47: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 59 done, running/completed 10/1 = ∑11/25, new result: 0.2982
2025-04-11 04:22:00: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 60 done, running 10 = ∑10/25, new result: 0.4335
2025-04-11 04:22:13: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 61 done, running 9 = ∑9/25, new result: 0.2789
2025-04-11 04:22:25: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 62 done, running 8 = ∑8/25, new result: 0.365
2025-04-11 04:22:40: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 63 done, running 7 = ∑7/25, waiting for 13 jobs, finished 6 jobs
2025-04-11 04:22:40: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 63 done, running 7 = ∑7/25, waiting for 7 jobs
2025-04-11 04:22:50: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 63 done, running 7 = ∑7/25, new result: 0.2789
2025-04-11 04:23:03: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 64 done, running 6 = ∑6/25, waiting for 7 jobs, finished 1 job
2025-04-11 04:23:03: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 64 done, running 6 = ∑6/25, waiting for 6 jobs
2025-04-11 04:23:12: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 64 done, running 6 = ∑6/25, new result: 0.3024
2025-04-11 04:23:24: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 65 done, running 5 = ∑5/25, new result: 0.357
2025-04-11 04:23:36: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 66 done, running 4 = ∑4/25, new result: 0.303
2025-04-11 04:23:48: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 67 done, running 3 = ∑3/25, waiting for 6 jobs, finished 3 jobs
2025-04-11 04:23:48: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 67 done, running 3 = ∑3/25, waiting for 3 jobs
2025-04-11 04:23:55: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 67 done, running 3 = ∑3/25, new result: 0.303
2025-04-11 04:24:07: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 68 done, running 2 = ∑2/25, new result: 0.5519
2025-04-11 04:24:20: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, waiting for 3 jobs, finished 2 jobs
2025-04-11 04:24:20: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:24:27: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:24:34: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:24:41: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:24:48: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:24:55: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:25:02: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:25:09: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:25:16: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, waiting for 1 job
2025-04-11 04:25:22: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 69 done, running 1 = ∑1/25, new result: 0.303
2025-04-11 04:25:35: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, waiting for 1 job), finished 1 job
2025-04-11 04:25:37: Sobol, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #1/25
2025-04-11 04:27:53: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #2/25 | ETA: 54m 26s
2025-04-11 04:29:46: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #3/25 | ETA: 47m 40s
2025-04-11 04:31:47: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #4/25 | ETA: 45m 9s
2025-04-11 04:33:47: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #5/25 | ETA: 42m 52s
2025-04-11 04:35:22: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #6/25 | ETA: 38m 57s
2025-04-11 04:37:03: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #7/25 | ETA: 36m 11s
2025-04-11 04:38:31: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #8/25 | ETA: 33m 8s
2025-04-11 04:40:08: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #9/25 | ETA: 30m 49s
2025-04-11 04:41:42: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #10/25 | ETA: 28m 34s
2025-04-11 04:43:24: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #11/25 | ETA: 26m 38s
2025-04-11 04:44:50: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #12/25 | ETA: 24m 26s
2025-04-11 04:46:12: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #13/25 | ETA: 22m 16s
2025-04-11 04:47:40: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #14/25 | ETA: 20m 20s
2025-04-11 04:49:43: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #15/25 | ETA: 18m 55s
2025-04-11 04:51:24: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #16/25 | ETA: 17m 10s
2025-04-11 04:53:08: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #17/25 | ETA: 15m 28s
2025-04-11 04:54:49: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #18/25 | ETA: 13m 43s
2025-04-11 04:56:43: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #19/25 | ETA: 12m 5s
2025-04-11 04:58:21: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #20/25 | ETA: 10m 19s
2025-04-11 05:00:10: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #21/25 | ETA: 8m 37s
2025-04-11 05:02:07: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #22/25 | ETA: 6m 56s
2025-04-11 05:03:32: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #23/25 | ETA: 5m 10s
2025-04-11 05:05:24: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #24/25 | ETA: 3m 27s
2025-04-11 05:07:13: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, getting new hyperparameter set #25/25 | ETA: 1m 43s
2025-04-11 05:08:58: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, eval start
2025-04-11 05:08:58: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, starting new job
2025-04-11 05:09:00: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, unknown 1 = ∑1/25, started new job
2025-04-11 05:09:00: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, unknown 1 = ∑1/25, eval start
2025-04-11 05:09:00: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, unknown 1 = ∑1/25, starting new job
2025-04-11 05:09:02: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, pending/unknown 1/1 = ∑2/25, started new job
2025-04-11 05:09:02: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, pending/unknown 1/1 = ∑2/25, eval start
2025-04-11 05:09:02: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, pending/unknown 1/1 = ∑2/25, starting new job
2025-04-11 05:09:03: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/1/1 = ∑3/25, started new job
2025-04-11 05:09:04: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/1/1 = ∑3/25, eval start
2025-04-11 05:09:04: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/1/1 = ∑3/25, starting new job
2025-04-11 05:09:06: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/1/2 = ∑4/25, started new job
2025-04-11 05:09:06: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/1/2 = ∑4/25, eval start
2025-04-11 05:09:06: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/1/2 = ∑4/25, starting new job
2025-04-11 05:09:07: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/3/1 = ∑5/25, started new job
2025-04-11 05:09:08: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/3/1 = ∑5/25, eval start
2025-04-11 05:09:08: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/3/1 = ∑5/25, starting new job
2025-04-11 05:09:09: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/3/2 = ∑6/25, started new job
2025-04-11 05:09:10: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/3/2 = ∑6/25, eval start
2025-04-11 05:09:10: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 1/3/2 = ∑6/25, starting new job
2025-04-11 05:09:11: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 4/2/1 = ∑7/25, started new job
2025-04-11 05:09:12: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 4/2/1 = ∑7/25, eval start
2025-04-11 05:09:12: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 4/2/1 = ∑7/25, starting new job
2025-04-11 05:09:13: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/1/1 = ∑8/25, started new job
2025-04-11 05:09:13: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/1/1 = ∑8/25, eval start
2025-04-11 05:09:14: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/1/1 = ∑8/25, starting new job
2025-04-11 05:09:15: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/1/2 = ∑9/25, started new job
2025-04-11 05:09:15: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/1/2 = ∑9/25, eval start
2025-04-11 05:09:15: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/1/2 = ∑9/25, starting new job
2025-04-11 05:09:17: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/1/3 = ∑10/25, started new job
2025-04-11 05:09:17: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/1/3 = ∑10/25, eval start
2025-04-11 05:09:17: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/1/3 = ∑10/25, starting new job
2025-04-11 05:09:18: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/4/1 = ∑11/25, started new job
2025-04-11 05:09:19: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/4/1 = ∑11/25, eval start
2025-04-11 05:09:19: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 6/4/1 = ∑11/25, starting new job
2025-04-11 05:09:20: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 10/1/1 = ∑12/25, started new job
2025-04-11 05:09:21: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 10/1/1 = ∑12/25, eval start
2025-04-11 05:09:21: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 10/1/1 = ∑12/25, starting new job
2025-04-11 05:09:22: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 10/1/2 = ∑13/25, started new job
2025-04-11 05:09:23: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 10/1/2 = ∑13/25, eval start
2025-04-11 05:09:23: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 10/1/2 = ∑13/25, starting new job
2025-04-11 05:09:24: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/2/1 = ∑14/25, started new job
2025-04-11 05:09:25: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/2/1 = ∑14/25, eval start
2025-04-11 05:09:25: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/2/1 = ∑14/25, starting new job
2025-04-11 05:09:26: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/2/2 = ∑15/25, started new job
2025-04-11 05:09:26: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/2/2 = ∑15/25, eval start
2025-04-11 05:09:27: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/2/2 = ∑15/25, starting new job
2025-04-11 05:09:28: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/4/1 = ∑16/25, started new job
2025-04-11 05:09:28: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/4/1 = ∑16/25, eval start
2025-04-11 05:09:28: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/4/1 = ∑16/25, starting new job
2025-04-11 05:09:30: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/4/2 = ∑17/25, started new job
2025-04-11 05:09:30: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/4/2 = ∑17/25, eval start
2025-04-11 05:09:30: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/4/2 = ∑17/25, starting new job
2025-04-11 05:09:31: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/4/3 = ∑18/25, started new job
2025-04-11 05:09:32: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/4/3 = ∑18/25, eval start
2025-04-11 05:09:32: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/4/3 = ∑18/25, starting new job
2025-04-11 05:09:33: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/7/1 = ∑19/25, started new job
2025-04-11 05:09:34: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/7/1 = ∑19/25, eval start
2025-04-11 05:09:34: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/7/1 = ∑19/25, starting new job
2025-04-11 05:09:35: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/7/2 = ∑20/25, started new job
2025-04-11 05:09:35: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/7/2 = ∑20/25, eval start
2025-04-11 05:09:36: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/7/2 = ∑20/25, starting new job
2025-04-11 05:09:37: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/7/3 = ∑21/25, started new job
2025-04-11 05:09:37: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/7/3 = ∑21/25, eval start
2025-04-11 05:09:37: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/7/3 = ∑21/25, starting new job
2025-04-11 05:09:39: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/10/1 = ∑22/25, started new job
2025-04-11 05:09:39: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/10/1 = ∑22/25, eval start
2025-04-11 05:09:39: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 11/10/1 = ∑22/25, starting new job
2025-04-11 05:09:40: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 21/1/1 = ∑23/25, started new job
2025-04-11 05:09:41: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 21/1/1 = ∑23/25, eval start
2025-04-11 05:09:41: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 21/1/1 = ∑23/25, starting new job
2025-04-11 05:09:42: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 21/1/2 = ∑24/25, started new job
2025-04-11 05:09:43: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 21/1/2 = ∑24/25, eval start
2025-04-11 05:09:43: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 21/1/2 = ∑24/25, starting new job
2025-04-11 05:09:44: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running/pending/unknown 22/2/1 = ∑25/25, started new job
2025-04-11 05:10:27: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running 25 = ∑25/25, got 25, requested 25
2025-04-11 05:10:37: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 70 done, running 25 = ∑25/25, new result: 0.2378
2025-04-11 05:11:03: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 71 done, running/completed 23/1 = ∑24/25, new result: 0.356
2025-04-11 05:11:24: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 72 done, running 23 = ∑23/25, finishing previous jobs (25), finished 2 jobs
2025-04-11 05:11:25: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 72 done, running 23 = ∑23/25, waiting for 23 jobs
2025-04-11 05:11:31: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 72 done, running 23 = ∑23/25, new result: 0.2793
2025-04-11 05:11:45: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 73 done, running 22 = ∑22/25, new result: 0.2789
2025-04-11 05:12:01: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 74 done, completed/running 9/12 = ∑21/25, new result: 0.1751
2025-04-11 05:12:16: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 75 done, completed/running 8/12 = ∑20/25, new result: 0.2365
2025-04-11 05:12:31: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 76 done, completed/running 7/12 = ∑19/25, new result: 0.0985
2025-04-11 05:12:45: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 77 done, running/completed 12/6 = ∑18/25, new result: 0.679
2025-04-11 05:13:00: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 78 done, completed/running 6/11 = ∑17/25, new result: 0.2892
2025-04-11 05:13:15: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 79 done, completed/running 5/11 = ∑16/25, new result: 0.2124
2025-04-11 05:13:29: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 80 done, completed/running 4/11 = ∑15/25, new result: 0.1521
2025-04-11 05:13:44: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 81 done, completed/running 3/11 = ∑14/25, new result: 0.1759
2025-04-11 05:13:58: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 82 done, running/completed 11/2 = ∑13/25, new result: 0.7548
2025-04-11 05:14:14: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 83 done, running/completed 10/2 = ∑12/25, new result: 0.2789
2025-04-11 05:14:28: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 84 done, completed 11 = ∑11/25, new result: 0.6645
2025-04-11 05:14:43: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 85 done, completed 10 = ∑10/25, new result: 0.1698
2025-04-11 05:14:57: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 86 done, completed 9 = ∑9/25, new result: 0.0985
2025-04-11 05:15:12: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 87 done, completed 8 = ∑8/25, new result: 0.1614
2025-04-11 05:15:26: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 88 done, completed 7 = ∑7/25, new result: 0.1361
2025-04-11 05:15:40: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 89 done, completed 6 = ∑6/25, new result: 0.1638
2025-04-11 05:15:55: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 90 done, completed 5 = ∑5/25, new result: 0.6676
2025-04-11 05:16:09: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 91 done, completed 4 = ∑4/25, new result: 0.7207
2025-04-11 05:16:24: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 92 done, completed 3 = ∑3/25, new result: 0.4739
2025-04-11 05:16:38: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 93 done, completed 2 = ∑2/25, new result: 0.1021
2025-04-11 05:16:52: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 94 done, completed 1 = ∑1/25, new result: 0.1965
2025-04-11 05:17:08: BoTorchModel, failed: 5 ('VAL_LOSS: <FLOAT>' not found), 95 done, waiting for 23 jobs, finished 23 jobs
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download »progressbar« as file</button>
<h1> Args Overview</h1>
<h2>Arguments Overview: </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value </th></tr></thead><tbody><tr><td> config_yaml</td><td>None </td></tr><tr><td> config_toml</td><td>None </td></tr><tr><td> config_json</td><td>None </td></tr><tr><td> num_random_steps</td><td>50 </td></tr><tr><td> max_eval</td><td>100 </td></tr><tr><td> run_program</td><td>[['YmFzaCAvaG9tZS9zMzgxMTE0MS90ZXN0L3JhbmRvbXRlc3RfMTM0MjQvb21uaW9wdC8udGVzdHMvZXhhbXBsZV9uZXR3b3JrL3J1bi5zaCAtLWxlYXJuaW5nX3JhdGU9JShsZWFybmluZ19yYXRl… </td></tr><tr><td> experiment_name</td><td>example_network </td></tr><tr><td> mem_gb</td><td>5 </td></tr><tr><td> parameter</td><td>[['width', 'range', '20', '80', 'int'], ['height', 'range', '20', '80', 'int'], ['dense', 'range', '1', '32', 'int'], ['dense_units', 'range', '1', </td></tr><tr><td></td><td>'128', 'int'], ['epochs', 'range', '1', '40', 'int'], ['conv', 'range', '1', '4', 'int'], ['conv_filters', 'range', '1', '32', 'int'], ['learning_rate', </td></tr><tr><td></td><td>'range', '0.00001', '0.1', 'float'], ['activation', 'choice', 'relu,sigmoid,swish,leaky_relu,tanh,gelu']] </td></tr><tr><td> continue_previous_job</td><td>None </td></tr><tr><td> experiment_constraints</td><td>None </td></tr><tr><td> run_dir</td><td>runs </td></tr><tr><td> seed</td><td>None </td></tr><tr><td> decimalrounding</td><td>4 </td></tr><tr><td> enforce_sequential_optimization</td><td>False </td></tr><tr><td> verbose_tqdm</td><td>False </td></tr><tr><td> model</td><td>None </td></tr><tr><td> gridsearch</td><td>False </td></tr><tr><td> occ</td><td>False </td></tr><tr><td> show_sixel_scatter</td><td>False </td></tr><tr><td> show_sixel_general</td><td>False </td></tr><tr><td> show_sixel_trial_index_result</td><td>False </td></tr><tr><td> follow</td><td>True </td></tr><tr><td> send_anonymized_usage_stats</td><td>True </td></tr><tr><td> ui_url</td><td>None </td></tr><tr><td> root_venv_dir</td><td>/home/s3811141 </td></tr><tr><td> exclude</td><td>None </td></tr><tr><td> main_process_gb</td><td>8 </td></tr><tr><td> pareto_front_confidence</td><td>1 </td></tr><tr><td> max_nr_of_zero_results</td><td>10 </td></tr><tr><td> abbreviate_job_names</td><td>False </td></tr><tr><td> orchestrator_file</td><td>None </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False </td></tr><tr><td> live_share</td><td>True </td></tr><tr><td> disable_tqdm</td><td>False </td></tr><tr><td> workdir</td><td>False </td></tr><tr><td> occ_type</td><td>euclid </td></tr><tr><td> result_names</td><td>['VAL_ACCURACY=max', 'VAL_LOSS=min', 'RAM_USAGE=min', 'RUNTIME=min'] </td></tr><tr><td> minkowski_p</td><td>2 </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None </td></tr><tr><td> generate_all_jobs_at_once</td><td>True </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True </td></tr><tr><td> load_data_from_existing_jobs</td><td>[] </td></tr><tr><td> n_estimators_randomforest</td><td>100 </td></tr><tr><td> num_parallel_jobs</td><td>25 </td></tr><tr><td> worker_timeout</td><td>120 </td></tr><tr><td> slurm_use_srun</td><td>False </td></tr><tr><td> time</td><td>4000 </td></tr><tr><td> partition</td><td>alpha </td></tr><tr><td> reservation</td><td>None </td></tr><tr><td> force_local_execution</td><td>False </td></tr><tr><td> slurm_signal_delay_s</td><td>0 </td></tr><tr><td> nodes_per_job</td><td>1 </td></tr><tr><td> cpus_per_task</td><td>1 </td></tr><tr><td> account</td><td>None </td></tr><tr><td> gpus</td><td>1 </td></tr><tr><td> run_mode</td><td>local </td></tr><tr><td> verbose</td><td>False </td></tr><tr><td> verbose_break_run_search_table</td><td>False </td></tr><tr><td> debug</td><td>False </td></tr><tr><td> no_sleep</td><td>False </td></tr><tr><td> tests</td><td>False </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False </td></tr><tr><td> raise_in_eval</td><td>False </td></tr><tr><td> show_ram_every_n_seconds</td><td>False </td></tr></tbody></table>
<h1> 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 »worker_usage.csv« as file</button>
<pre id="pre_tab_worker_usage">1744336055.0075529,25,0,0
1744336058.4122694,25,0,0
1744336058.6632543,25,0,0
1744336058.819029,25,0,0
1744336058.9834225,25,0,0
1744336059.1459165,25,0,0
1744336059.30904,25,0,0
1744336059.4569602,25,0,0
1744336059.5973814,25,0,0
1744336059.7573555,25,0,0
1744336059.9225352,25,0,0
1744336060.0805752,25,0,0
1744336060.2329886,25,0,0
1744336060.4015324,25,0,0
1744336060.5558898,25,0,0
1744336060.7255433,25,0,0
1744336060.88182,25,0,0
1744336061.0540698,25,0,0
1744336061.2147503,25,0,0
1744336061.3825357,25,0,0
1744336061.546269,25,0,0
1744336061.7115011,25,0,0
1744336061.883069,25,0,0
1744336062.0786705,25,0,0
1744336062.2657895,25,0,0
1744336062.4500425,25,0,0
1744336062.638002,25,0,0
1744336062.7787468,25,0,0
1744336064.1766162,25,1,4
1744336064.1907516,25,1,4
1744336064.341339,25,1,4
1744336065.9853005,25,2,8
1744336065.998404,25,2,8
1744336066.1248217,25,2,8
1744336067.459437,25,3,12
1744336067.4745128,25,3,12
1744336067.617586,25,3,12
1744336068.9854667,25,4,16
1744336068.9998732,25,4,16
1744336069.1409678,25,4,16
1744336070.4636698,25,5,20
1744336070.4748611,25,5,20
1744336070.6082745,25,5,20
1744336071.9316282,25,6,24
1744336071.9444487,25,6,24
1744336072.0667193,25,6,24
1744336073.3654654,25,7,28
1744336073.3809562,25,7,28
1744336073.5085962,25,7,28
1744336074.926449,25,8,32
1744336074.9483106,25,8,32
1744336075.1120205,25,8,32
1744336076.4541633,25,9,36
1744336076.4705276,25,9,36
1744336076.6225142,25,9,36
1744336077.9700897,25,10,40
1744336078.0052729,25,10,40
1744336078.1628041,25,10,40
1744336080.8303828,25,11,44
1744336080.8447049,25,11,44
1744336080.9713945,25,11,44
1744336082.2749496,25,12,48
1744336082.2892048,25,12,48
1744336082.4181023,25,12,48
1744336083.9098861,25,13,52
1744336083.9247599,25,13,52
1744336084.0747209,25,13,52
1744336085.3619914,25,14,56
1744336085.3763852,25,14,56
1744336085.5061889,25,14,56
1744336086.9164329,25,15,60
1744336086.9309945,25,15,60
1744336087.0801837,25,15,60
1744336088.3619845,25,16,64
1744336088.3768067,25,16,64
1744336088.503401,25,16,64
1744336089.9448946,25,17,68
1744336089.966489,25,17,68
1744336090.099532,25,17,68
1744336091.4111805,25,18,72
1744336091.4264379,25,18,72
1744336091.5764058,25,18,72
1744336092.9512982,25,19,76
1744336092.9755507,25,19,76
1744336093.1384969,25,19,76
1744336094.4729793,25,20,80
1744336094.4917746,25,20,80
1744336094.6388674,25,20,80
1744336095.9350533,25,21,84
1744336095.9498081,25,21,84
1744336096.102254,25,21,84
1744336097.462053,25,22,88
1744336097.476285,25,22,88
1744336097.6361275,25,22,88
1744336098.9688253,25,23,92
1744336098.9833481,25,23,92
1744336099.1269226,25,23,92
1744336100.4220107,25,24,96
1744336100.444201,25,24,96
1744336100.6527936,25,24,96
1744336101.972143,25,25,100
1744336115.734882,25,25,100
1744336122.836357,25,25,100
1744336133.8567462,25,25,100
1744336144.7481837,25,25,100
1744336155.0664723,25,25,100
1744336165.8280327,25,25,100
1744336176.475585,25,25,100
1744336187.4688451,25,25,100
1744336198.005147,25,25,100
1744336208.3819838,25,25,100
1744336218.8405185,25,25,100
1744336229.5303087,25,25,100
1744336240.2147493,25,25,100
1744336248.271536,25,25,100
1744336256.7616122,25,24,96
1744336266.2414296,25,23,92
1744336274.7128873,25,22,88
1744336282.8091571,25,21,84
1744336291.5315022,25,20,80
1744336298.7228978,25,19,76
1744336298.8702369,25,19,76
1744336305.5974698,25,19,76
1744336314.3053188,25,18,72
1744336322.0543303,25,17,68
1744336330.2965431,25,16,64
1744336338.8302832,25,15,60
1744336347.2034154,25,14,56
1744336356.2656462,25,13,52
1744336356.4012575,25,13,52
1744336362.0161948,25,13,52
1744336370.4849286,25,12,48
1744336378.8043141,25,11,44
1744336387.1824865,25,10,40
1744336395.8151042,25,9,36
1744336404.5119371,25,8,32
1744336413.1784039,25,7,28
1744336413.310797,25,7,28
1744336419.605301,25,7,28
1744336427.7554076,25,6,24
1744336427.8887677,25,6,24
1744336434.9319775,25,6,24
1744336440.4476252,25,6,24
1744336449.5368426,25,5,20
1744336457.8999538,25,4,16
1744336458.034102,25,4,16
1744336464.503233,25,4,16
1744336470.835436,25,4,16
1744336477.1560657,25,4,16
1744336483.524403,25,4,16
1744336489.9504473,25,4,16
1744336496.2380483,25,4,16
1744336501.6836355,25,4,16
1744336508.757901,25,3,12
1744336515.2595243,25,2,8
1744336515.3710546,25,2,8
1744336521.282743,25,2,8
1744336527.0838814,25,2,8
1744336532.868583,25,2,8
1744336538.6755638,25,2,8
1744336544.5109246,25,2,8
1744336550.4360857,25,2,8
1744336555.8650978,25,2,8
1744336564.001447,25,1,4
1744336564.1056252,25,1,4
1744336569.7049387,25,1,4
1744336575.3357506,25,1,4
1744336580.9452372,25,1,4
1744336586.3943639,25,1,4
1744336593.38979,25,0,0
1744336594.092922,25,0,0
1744336594.3133729,25,0,0
1744336594.5167918,25,0,0
1744336594.733079,25,0,0
1744336594.9514863,25,0,0
1744336595.170516,25,0,0
1744336595.3895793,25,0,0
1744336595.603259,25,0,0
1744336595.829365,25,0,0
1744336596.0549817,25,0,0
1744336596.3088443,25,0,0
1744336596.5401862,25,0,0
1744336596.7720468,25,0,0
1744336597.0019739,25,0,0
1744336597.2412622,25,0,0
1744336597.4790704,25,0,0
1744336597.718396,25,0,0
1744336597.9838357,25,0,0
1744336598.2208178,25,0,0
1744336598.4857326,25,0,0
1744336598.7319148,25,0,0
1744336598.99221,25,0,0
1744336599.2355914,25,0,0
1744336599.47862,25,0,0
1744336599.7390983,25,0,0
1744336600.0171022,25,0,0
1744336600.1878076,25,0,0
1744336601.519879,25,1,4
1744336601.591767,25,1,4
1744336601.7646697,25,1,4
1744336603.1153758,25,2,8
1744336603.1887012,25,2,8
1744336603.3720949,25,2,8
1744336605.0180333,25,3,12
1744336605.0955894,25,3,12
1744336605.2742388,25,3,12
1744336606.9481835,25,4,16
1744336607.0230927,25,4,16
1744336607.2017574,25,4,16
1744336608.5879712,25,5,20
1744336608.6631982,25,5,20
1744336608.844648,25,5,20
1744336610.1714413,25,6,24
1744336610.24569,25,6,24
1744336610.4297478,25,6,24
1744336611.9626057,25,7,28
1744336612.0337498,25,7,28
1744336612.2211246,25,7,28
1744336613.9563093,25,8,32
1744336614.0309286,25,8,32
1744336614.2125394,25,8,32
1744336615.5981035,25,9,36
1744336615.6681185,25,9,36
1744336615.8593035,25,9,36
1744336617.2130854,25,10,40
1744336617.2801082,25,10,40
1744336617.4684951,25,10,40
1744336618.9800775,25,11,44
1744336619.0530381,25,11,44
1744336619.2264102,25,11,44
1744336620.8559227,25,12,48
1744336620.9312034,25,12,48
1744336621.1100821,25,12,48
1744336622.4470625,25,13,52
1744336622.5027544,25,13,52
1744336622.699501,25,13,52
1744336624.0613632,25,14,56
1744336624.1376696,25,14,56
1744336624.3202894,25,14,56
1744336625.999242,25,15,60
1744336626.1372793,25,15,60
1744336626.3518522,25,15,60
1744336628.0008733,25,16,64
1744336628.0764656,25,16,64
1744336628.3359547,25,16,64
1744336630.0298314,25,17,68
1744336630.1030715,25,17,68
1744336630.3133278,25,17,68
1744336632.036854,25,18,72
1744336632.1124418,25,18,72
1744336632.3352387,25,18,72
1744336634.0948281,25,19,76
1744336634.2189782,25,19,76
1744336634.5197804,25,19,76
1744336636.184079,25,20,80
1744336636.2835922,25,20,80
1744336636.6526718,25,20,80
1744336638.1615887,25,21,84
1744336638.2654402,25,21,84
1744336638.6093187,25,21,84
1744336640.1677535,25,22,88
1744336640.2824943,25,22,88
1744336640.6597493,25,22,88
1744336642.2031214,25,23,92
1744336642.3059645,25,23,92
1744336642.6208997,25,23,92
1744336644.078911,25,24,96
1744336644.1660388,25,24,96
1744336644.4643922,25,24,96
1744336647.1019397,25,25,100
1744336673.629847,25,25,100
1744336688.6853359,25,25,100
1744336707.8687801,25,25,100
1744336726.5400174,25,25,100
1744336738.189135,25,25,100
1744336753.471479,25,24,96
1744336768.0780466,25,23,92
1744336768.2205002,25,23,92
1744336775.1782258,25,23,92
1744336784.9156725,25,22,88
1744336796.4419227,25,21,84
1744336806.0182636,25,20,80
1744336817.6162488,25,19,76
1744336829.8977244,25,18,72
1744336841.048031,25,17,68
1744336852.08834,25,16,64
1744336863.839903,25,15,60
1744336863.9786339,25,15,60
1744336869.6236134,25,15,60
1744336881.1188166,25,14,56
1744336896.3763597,25,13,52
1744336907.320828,25,12,48
1744336922.5675428,25,11,44
1744336932.208654,25,10,40
1744336942.9147875,25,9,36
1744336952.5520809,25,8,32
1744336965.7887847,25,7,28
1744336977.7105002,25,6,24
1744336977.8673823,25,6,24
1744336985.093464,25,6,24
1744336994.7257981,25,5,20
1744337004.4736063,25,4,16
1744337014.3602905,25,3,12
1744337014.4658303,25,3,12
1744337021.8536956,25,3,12
1744337029.2993011,25,3,12
1744337035.3478408,25,3,12
1744337045.8018324,25,2,8
1744337045.9515228,25,2,8
1744337052.801949,25,2,8
1744337059.8492079,25,2,8
1744337066.7665498,25,2,8
1744337073.7714481,25,2,8
1744337080.767247,25,2,8
1744337087.645543,25,2,8
1744337094.363587,25,2,8
1744337101.2419684,25,2,8
1744337108.0277529,25,2,8
1744337114.9449394,25,2,8
1744337121.784378,25,2,8
1744337128.5671458,25,2,8
1744337135.4351115,25,2,8
1744337142.2873647,25,2,8
1744337149.083092,25,2,8
1744337155.9921222,25,2,8
1744337163.0154107,25,2,8
1744337169.9898121,25,2,8
1744337176.999208,25,2,8
1744337184.1561067,25,2,8
1744337190.8632863,25,2,8
1744337197.6827292,25,2,8
1744337204.6134627,25,2,8
1744337211.3113317,25,2,8
1744337218.1972446,25,2,8
1744337225.0573852,25,2,8
1744337231.8812177,25,2,8
1744337238.75409,25,2,8
1744337245.5921414,25,2,8
1744337252.4032793,25,2,8
1744337259.285272,25,2,8
1744337266.0699449,25,2,8
1744337271.5213857,25,2,8
1744337281.750301,25,1,4
1744337281.8624866,25,1,4
1744337288.0197895,25,1,4
1744337294.1976254,25,1,4
1744337300.452504,25,1,4
1744337306.628905,25,1,4
1744337313.1295338,25,1,4
1744337319.338245,25,1,4
1744337325.733645,25,1,4
1744337331.9082987,25,1,4
1744337338.0654645,25,1,4
1744337344.3565125,25,1,4
1744337350.5433836,25,1,4
1744337356.8438318,25,1,4
1744337363.0192955,25,1,4
1744337369.1937551,25,1,4
1744337375.526288,25,1,4
1744337381.6842768,25,1,4
1744337388.0050638,25,1,4
1744337394.1752915,25,1,4
1744337400.3432014,25,1,4
1744337406.6513586,25,1,4
1744337412.8081117,25,1,4
1744337419.1391196,25,1,4
1744337425.3653383,25,1,4
1744337431.5204754,25,1,4
1744337437.8167012,25,1,4
1744337444.0209332,25,1,4
1744337450.321685,25,1,4
1744337456.4891236,25,1,4
1744337462.6680727,25,1,4
1744337469.0198917,25,1,4
1744337475.1931133,25,1,4
1744337481.4963884,25,1,4
1744337487.6303022,25,1,4
1744337493.8010676,25,1,4
1744337500.133497,25,1,4
1744337506.3284702,25,1,4
1744337512.6250722,25,1,4
1744337518.8141682,25,1,4
1744337524.9776332,25,1,4
1744337531.2929797,25,1,4
1744337537.4694679,25,1,4
1744337543.807986,25,1,4
1744337550.012502,25,1,4
1744337556.322632,25,1,4
1744337562.5321884,25,1,4
1744337568.835062,25,1,4
1744337575.0242898,25,1,4
1744337581.3677921,25,1,4
1744337587.5323691,25,1,4
1744337593.7068703,25,1,4
1744337599.9700716,25,1,4
1744337606.1336718,25,1,4
1744337612.4247563,25,1,4
1744337618.5980892,25,1,4
1744337624.9231136,25,1,4
1744337631.0944724,25,1,4
1744337637.3990786,25,1,4
1744337643.6155171,25,1,4
1744337649.9044971,25,1,4
1744337656.0279164,25,1,4
1744337662.2342865,25,1,4
1744337668.5660915,25,1,4
1744337674.7746532,25,1,4
1744337681.0421374,25,1,4
1744337687.2152693,25,1,4
1744337693.5889838,25,1,4
1744337699.7279954,25,1,4
1744337706.028791,25,1,4
1744337712.22391,25,1,4
1744337718.4427779,25,1,4
1744337724.7173166,25,1,4
1744337730.898267,25,1,4
1744337737.186965,25,1,4
1744337743.357373,25,1,4
1744337749.647831,25,1,4
1744337755.0838006,25,1,4
1744337766.2890801,25,0,0
1744337767.5714273,25,0,0
1744337767.8523853,25,0,0
1744337768.1028082,25,0,0
1744337768.3498287,25,0,0
1744337768.6083198,25,0,0
1744337768.8542597,25,0,0
1744337769.1204782,25,0,0
1744337769.3730693,25,0,0
1744337769.6258545,25,0,0
1744337769.8893898,25,0,0
1744337770.1442986,25,0,0
1744337770.3966186,25,0,0
1744337770.6913981,25,0,0
1744337770.9515362,25,0,0
1744337771.2311003,25,0,0
1744337771.495387,25,0,0
1744337771.76527,25,0,0
1744337772.0756996,25,0,0
1744337772.3730338,25,0,0
1744337772.6485853,25,0,0
1744337772.9180777,25,0,0
1744337773.1942282,25,0,0
1744337773.4705145,25,0,0
1744337773.7423365,25,0,0
1744337774.0220509,25,0,0
1744337774.34113,25,0,0
1744337774.515132,25,0,0
1744337775.9929729,25,1,4
1744337776.070933,25,1,4
1744337776.263124,25,1,4
1744337777.9844022,25,2,8
1744337778.0611506,25,2,8
1744337778.2335055,25,2,8
1744337779.826907,25,3,12
1744337779.9061818,25,3,12
1744337780.0919693,25,3,12
1744337781.4034603,25,4,16
1744337781.4753668,25,4,16
1744337781.6391585,25,4,16
1744337783.1810014,25,5,20
1744337783.2595713,25,5,20
1744337783.4490304,25,5,20
1744337784.9768133,25,6,24
1744337785.05574,25,6,24
1744337785.2367775,25,6,24
1744337786.8698962,25,7,28
1744337786.9476645,25,7,28
1744337787.126267,25,7,28
1744337788.4480004,25,8,32
1744337788.5262613,25,8,32
1744337788.7070434,25,8,32
1744337790.0400102,25,9,36
1744337790.1164017,25,9,36
1744337790.3079133,25,9,36
1744337791.9598155,25,10,40
1744337792.0336359,25,10,40
1744337792.224848,25,10,40
1744337793.689065,25,11,44
1744337793.7690616,25,11,44
1744337793.956123,25,11,44
1744337795.3151085,25,12,48
1744337795.3962426,25,12,48
1744337795.6058953,25,12,48
1744337796.9910824,25,13,52
1744337797.0661898,25,13,52
1744337797.2600827,25,13,52
1744337798.9518425,25,14,56
1744337799.0345192,25,14,56
1744337799.2320557,25,14,56
1744337800.8840773,25,15,60
1744337800.967535,25,15,60
1744337801.1669345,25,15,60
1744337802.5525165,25,16,64
1744337802.6353807,25,16,64
1744337802.866002,25,16,64
1744337804.230924,25,17,68
1744337804.3330584,25,17,68
1744337804.5688865,25,17,68
1744337806.0385408,25,18,72
1744337806.1223757,25,18,72
1744337806.349774,25,18,72
1744337808.0034447,25,19,76
1744337808.0887334,25,19,76
1744337808.343285,25,19,76
1744337810.0215719,25,20,80
1744337810.1136892,25,20,80
1744337810.3574998,25,20,80
1744337812.0252235,25,21,84
1744337812.1256256,25,21,84
1744337812.3583694,25,21,84
1744337814.0654614,25,22,88
1744337814.1580896,25,22,88
1744337814.4806702,25,22,88
1744337816.1219263,25,23,92
1744337816.231026,25,23,92
1744337816.5513928,25,23,92
1744337818.0673583,25,24,96
1744337818.1565874,25,24,96
1744337818.3665187,25,24,96
1744337820.019825,25,25,100
1744337855.6479473,25,25,100
1744337881.7631629,25,25,100
1744337893.5154152,25,25,100
1744337910.0599656,25,24,96
1744337923.7717278,25,23,92
1744337943.6454875,25,22,88
1744337959.8358612,25,21,84
1744337959.94703,25,21,84
1744337972.8043835,25,21,84
1744337988.905923,25,20,80
1744338000.5961597,25,19,76
1744338012.934479,25,18,72
1744338025.1448376,25,17,68
1744338037.012094,25,16,64
1744338051.4011726,25,15,60
1744338063.2888794,25,14,56
1744338075.3405013,25,13,52
1744338075.4584234,25,13,52
1744338081.831071,25,13,52
1744338094.3903947,25,12,48
1744338107.9041035,25,11,44
1744338120.578719,25,10,40
1744338133.221272,25,9,36
1744338145.7028615,25,8,32
1744338160.1091828,25,7,28
1744338160.2209454,25,7,28
1744338170.3392549,25,7,28
1744338183.6825252,25,6,24
1744338183.7916236,25,6,24
1744338192.0129414,25,6,24
1744338204.401866,25,5,20
1744338216.3769972,25,4,16
1744338228.6547418,25,3,12
1744338228.7626898,25,3,12
1744338235.0309956,25,3,12
1744338247.5013065,25,2,8
1744338260.3018482,25,1,4
1744338260.4009652,25,1,4
1744338267.2924943,25,1,4
1744338274.32899,25,1,4
1744338281.3600202,25,1,4
1744338288.3756373,25,1,4
1744338295.387964,25,1,4
1744338302.354669,25,1,4
1744338309.846502,25,1,4
1744338316.8980846,25,1,4
1744338322.344433,25,1,4
1744338335.5999827,25,0,0
1744338337.6694758,25,0,0
1744338473.8212776,25,0,0
1744338586.5011232,25,0,0
1744338707.3181605,25,0,0
1744338827.8493383,25,0,0
1744338922.4098377,25,0,0
1744339023.8194044,25,0,0
1744339111.3317966,25,0,0
1744339208.4799745,25,0,0
1744339302.4131496,25,0,0
1744339404.1484861,25,0,0
1744339490.5794866,25,0,0
1744339572.6000776,25,0,0
1744339660.9020247,25,0,0
1744339783.6019406,25,0,0
1744339884.5283773,25,0,0
1744339988.9177516,25,0,0
1744340089.7366486,25,0,0
1744340203.8343966,25,0,0
1744340301.8462446,25,0,0
1744340410.4264133,25,0,0
1744340527.5917687,25,0,0
1744340612.9384623,25,0,0
1744340724.7887273,25,0,0
1744340833.794747,25,0,0
1744340938.2532282,25,0,0
1744340938.4591749,25,0,0
1744340940.0395648,25,1,4
1744340940.1215994,25,1,4
1744340940.3234248,25,1,4
1744340942.0226417,25,2,8
1744340942.0951507,25,2,8
1744340942.2833433,25,2,8
1744340943.9705226,25,3,12
1744340944.0446074,25,3,12
1744340944.2515562,25,3,12
1744340946.1733422,25,4,16
1744340946.2559264,25,4,16
1744340946.440257,25,4,16
1744340947.9910402,25,5,20
1744340948.063999,25,5,20
1744340948.287772,25,5,20
1744340949.975521,25,6,24
1744340950.0542107,25,6,24
1744340950.275727,25,6,24
1744340951.9748383,25,7,28
1744340952.0510738,25,7,28
1744340952.252154,25,7,28
1744340953.908586,25,8,32
1744340953.988578,25,8,32
1744340954.1944926,25,8,32
1744340955.5753024,25,9,36
1744340955.6544325,25,9,36
1744340955.8666744,25,9,36
1744340957.2237077,25,10,40
1744340957.3001125,25,10,40
1744340957.4827468,25,10,40
1744340958.9700682,25,11,44
1744340959.0441232,25,11,44
1744340959.2569964,25,11,44
1744340960.9792497,25,12,48
1744340961.0554874,25,12,48
1744340961.2478924,25,12,48
1744340962.9565394,25,13,52
1744340963.039336,25,13,52
1744340963.2458706,25,13,52
1744340964.9301326,25,14,56
1744340965.0065641,25,14,56
1744340965.2379365,25,14,56
1744340966.890282,25,15,60
1744340966.971368,25,15,60
1744340967.1632645,25,15,60
1744340968.5460289,25,16,64
1744340968.6236055,25,16,64
1744340968.8164933,25,16,64
1744340970.1596725,25,17,68
1744340970.269319,25,17,68
1744340970.4802475,25,17,68
1744340971.9983406,25,18,72
1744340972.0807474,25,18,72
1744340972.2963116,25,18,72
1744340973.9655154,25,19,76
1744340974.0269191,25,19,76
1744340974.2193272,25,19,76
1744340975.737062,25,20,80
1744340975.8132038,25,20,80
1744340976.0320883,25,20,80
1744340977.39887,25,21,84
1744340977.4756265,25,21,84
1744340977.6754384,25,21,84
1744340979.0140676,25,22,88
1744340979.0914898,25,22,88
1744340979.3225794,25,22,88
1744340980.991188,25,23,92
1744340981.0797486,25,23,92
1744340981.27952,25,23,92
1744340982.98894,25,24,96
1744340983.069168,25,24,96
1744340983.2646303,25,24,96
1744340984.9569519,25,25,100
1744341027.876172,25,25,100
1744341037.485786,25,25,100
1744341063.331156,25,24,96
1744341084.4666557,25,23,92
1744341085.6249835,25,23,92
1744341091.1029751,25,23,92
1744341105.5483105,25,22,88
1744341121.190463,25,21,84
1744341136.207857,25,20,80
1744341151.3444939,25,19,76
1744341165.7915463,25,18,72
1744341180.2418265,25,17,68
1744341195.4539766,25,16,64
1744341209.7493224,25,15,60
1744341224.3765461,25,14,56
1744341238.8450465,25,13,52
1744341254.1380365,25,12,48
1744341268.4348135,25,11,44
1744341283.0628464,25,10,40
1744341297.3292425,25,9,36
1744341312.210335,25,8,32
1744341326.450243,25,7,28
1744341340.713829,25,6,24
1744341355.1826344,25,5,20
1744341369.8029041,25,4,16
1744341384.031289,25,3,12
1744341398.5927496,25,2,8
1744341412.9964006,25,1,4
1744341428.94313,25,0,0
</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 »worker_usage.csv« as file</button>
<h1> 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 »cpu_ram_usage.csv« as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1744336050,610.4140625,0.8
1744336055,610.69140625,1.0
1744336122,624.1796875,5.3
1744336122,624.1796875,16.0
1744336122,624.1796875,11.1
1744336122,624.1796875,11.1
1744336688,639.015625,7.0
1744336688,639.015625,8.1
1744336688,639.015625,7.7
1744337881,656.6953125,4.7
1744337881,656.6953125,8.3
1744341085,871.44140625,3.2
1744341085,871.44140625,5.6
1744341085,871.44140625,6.7
1744341430,872.94140625,4.0
1744341430,872.94140625,5.0
</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 »cpu_ram_usage.csv« as file</button>
<h1> Parallel Plot</h1>
<div class="invert_in_dark_mode" id="parallel-plot"></div>
<h1> Scatter-2D</h1>
<div class='invert_in_dark_mode' id='plotScatter2d'></div>
<h1> Scatter-3D</h1>
<div class='invert_in_dark_mode' id='plotScatter3d'></div>
<h1> Job Status Distribution</h1>
<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
<h1> Boxplots</h1>
<div class="invert_in_dark_mode" id="plotBoxplot"></div>
<h1> Violin</h1>
<div class="invert_in_dark_mode" id="plotViolin"></div>
<h1> Histogram</h1>
<div class="invert_in_dark_mode" id="plotHistogram"></div>
<h1> 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> Result-Pairs</h1>
<div class="invert_in_dark_mode" id="plotResultPairs"></div>
<h1> Evolution</h1>
<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
</body>
</html>
Job-Infos
Main-Log
Debug-Logs
GPU Usage
Single Logs