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 »pwinkler/vergl_botorch_dl_ext/1« 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;
}
[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-variant: oldstyle-nums;
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
background-color: #fafafa;
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: 0 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;
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
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%;
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: 65px;
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;
}
.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;
margin-top: 3px;
}
.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;
width: inherit;
}
.logo-img {
max-height: 50px;
pointer-events: unset;
}
.badge-img {
max-width: 100px;
}
.hide_on_mobile {
display: none;
}
.nav-tab {
font-size: 0.9rem;
padding: 6px 12px;
}
.header_button {
white-space: pre;
font-size: 2em;
}
}
.header_button {
white-space: pre;
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;
}
input::placeholder {
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
.gridjs-th-content {
overflow: visible !important;
}
.error_text {
color: red;
}
h1, h2, h3, h4, h5, h6 {
margin-top: 1em;
font-weight: bold;
color: #333;
border-left: 5px solid #ccc;
padding-left: 0.5em;
}
.no_cursive {
font-style: normal;
}
.caveat {
background-color: #fff8b3;
border: 1px solid #f2d600;
padding: 1em 1em 1em 70px;
position: relative;
font-family: sans-serif;
color: #665500;
margin: 1em 0;
border-radius: 4px;
}
.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
margin-top: 0;
margin-bottom: 0.5em;
font-weight: bold;
}
.caveat::before {
content: "⚠️";
font-size: 50px;
line-height: 1;
position: absolute;
left: 10px;
top: 50%;
transform: translateY(-50%);
pointer-events: none;
user-select: none;
}
.caveat.warning::before { content: "⚠️"; }
.caveat.stop::before { content: "🛑"; }
.caveat.exclamation::before { content: "❗"; }
.caveat.alarm::before { content: "🚨"; }
.caveat.tip::before { content: "💡"; }
.tutorial_icon {
display: inline-block;
font-size: 1.3em;
line-height: 1;
vertical-align: middle;
transform: translateY(-10%);
padding: 0.2em 0;
}
.highlight {
background-color: yellow;
font-weight: bold;
}
#searchResults li {
opacity: 0;
transform: translateY(8px);
animation: fadeInUp 0.3s ease-out forwards;
animation-delay: 0.05s;
list-style: none;
margin-bottom: 5px;
}
@keyframes fadeInUp {
to {
opacity: 1;
transform: translateY(0);
}
}
.search_headline {
font-weight: bold;
margin-top: 1em;
margin-bottom: 0.3em;
color: #444;
}
.search_share_path {
color: black;
display: block ruby;
margin-top: 20px;
}
@media print {
#scads_bar {
display: none !important;
}
}
/*! 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 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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 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}
: :-webkit-scrollbar-button: vertical: end{
height: 17px;
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}
.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]{
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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)
}
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])::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])::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;
}
Element {
}
progress:not([value]) {
position: relative;
}
progress:not([value]) {
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
height: 14px;
}
</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 = [
"RESULT",
"TIME"
];
var result_min_max = [
"min",
"min"
];
var tab_results_headers_json = [
"trial_index",
"arm_name",
"trial_status",
"generation_node",
"RESULT",
"TIME",
"epochs",
"lr",
"bsz",
"da",
"db"
];
var tab_results_csv_json = [
[
0,
"0_0",
"COMPLETED",
"SOBOL",
0.3631578947368421,
15.332782506942749,
345,
0.025903163433074954,
8,
200,
66
],
[
1,
"1_0",
"COMPLETED",
"SOBOL",
0.2789473684210526,
3.4534990787506104,
174,
0.0057753594610840085,
22,
32,
143
],
[
2,
"2_0",
"COMPLETED",
"SOBOL",
0.3631578947368421,
2.8427510261535645,
76,
0.039912726011127234,
13,
141,
207
],
[
3,
"3_0",
"COMPLETED",
"SOBOL",
0.18947368421052635,
4.014418840408325,
252,
0.016627478961832823,
27,
70,
103
],
[
4,
"4_0",
"COMPLETED",
"SOBOL",
0.3631578947368421,
4.143909454345703,
203,
0.04817469934280962,
20,
95,
73
],
[
5,
"5_0",
"COMPLETED",
"SOBOL",
0.3631578947368421,
3.619486093521118,
41,
0.02179105257801712,
5,
119,
237
],
[
6,
"6_0",
"COMPLETED",
"SOBOL",
0.3631578947368421,
2.234476089477539,
136,
0.03758332744985819,
32,
55,
173
],
[
7,
"7_0",
"COMPLETED",
"SOBOL",
0.3631578947368421,
5.951323747634888,
299,
0.008232147173024715,
17,
174,
36
],
[
8,
"8_0",
"COMPLETED",
"SOBOL",
0.3631578947368421,
4.4685046672821045,
286,
0.042725006626918915,
29,
108,
148
],
[
9,
"9_0",
"COMPLETED",
"SOBOL",
0.21578947368421053,
2.936373472213745,
107,
0.013839340071193876,
15,
83,
41
],
[
10,
"10_0",
"COMPLETED",
"SOBOL",
0.3631578947368421,
0.8115420341491699,
11,
0.02868981805164367,
20,
162,
130
],
[
11,
"11_0",
"COMPLETED",
"SOBOL",
0.2578947368421053,
11.250745296478271,
189,
0.002964608523994684,
6,
44,
203
],
[
12,
"12_0",
"COMPLETED",
"SOBOL",
0.3631578947368421,
7.092697858810425,
227,
0.03422126150690019,
12,
21,
234
],
[
13,
"13_0",
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0,
0
],
[
1748360613.530359,
20,
0,
0
],
[
1748360613.7949414,
20,
0,
0
],
[
1748360613.847923,
20,
0,
0
],
[
1748360613.9052052,
20,
0,
0
],
[
1748360614.0229099,
20,
0,
0
],
[
1748360614.2802162,
20,
0,
0
],
[
1748360614.5138004,
20,
0,
0
],
[
1748360614.5799952,
20,
0,
0
],
[
1748360614.6651204,
20,
0,
0
],
[
1748360614.8185813,
20,
0,
0
]
];
var tab_main_worker_cpu_ram_csv_json = [
[
1748356962,
637.5859375,
21.6
],
[
1748356966,
637.84375,
21.6
],
[
1748356970,
638.16015625,
21.6
],
[
1748356970,
638.16015625,
23.1
],
[
1748356970,
638.41796875,
21.9
],
[
1748356970,
638.41796875,
21.7
],
[
1748356970,
638.41796875,
33.3
],
[
1748357165,
658.08984375,
55.6
],
[
1748357165,
658.08984375,
55.6
],
[
1748357165,
658.08984375,
57.1
],
[
1748357165,
658.08984375,
50
],
[
1748357166,
658.08984375,
54.5
],
[
1748357166,
658.08984375,
20.2
],
[
1748357166,
658.08984375,
20.3
],
[
1748357166,
658.08984375,
33.3
],
[
1748357166,
658.08984375,
23
],
[
1748357166,
658.08984375,
32.3
],
[
1748357203,
660.0078125,
22.4
],
[
1748357203,
660.0078125,
7.1
],
[
1748357203,
660.0078125,
22.4
],
[
1748357203,
660.0078125,
26.3
],
[
1748357203,
660.0078125,
22.4
],
[
1748357203,
660.0078125,
17.2
],
[
1748357203,
660.0078125,
22.4
],
[
1748357203,
660.26171875,
22.4
],
[
1748357203,
660.26171875,
22.5
],
[
1748357203,
660.26171875,
22.4
],
[
1748357203,
660.26171875,
22.7
],
[
1748357204,
660.26171875,
57.1
],
[
1748357204,
660.26171875,
22.4
],
[
1748357204,
660.26171875,
16
],
[
1748357204,
660.26171875,
22.4
],
[
1748357204,
660.26171875,
25
],
[
1748357231,
663.03515625,
22.1
],
[
1748357231,
663.03515625,
28.6
],
[
1748357232,
663.03515625,
21.8
],
[
1748357232,
663.03515625,
33.3
],
[
1748357242,
663.03515625,
22.2
],
[
1748357242,
663.03515625,
22.9
],
[
1748358221,
700.68359375,
22.3
],
[
1748358221,
700.68359375,
23.5
],
[
1748358221,
700.68359375,
21.7
],
[
1748358221,
700.68359375,
31.3
],
[
1748358990,
699.796875,
50
],
[
1748358990,
699.796875,
23.8
],
[
1748358990,
699.796875,
23.7
],
[
1748358990,
699.796875,
23.1
],
[
1748358990,
699.796875,
27.6
],
[
1748358990,
699.796875,
21.7
],
[
1748358990,
699.796875,
22
],
[
1748358990,
699.796875,
25
],
[
1748358990,
699.796875,
55.6
],
[
1748358990,
699.796875,
21.8
],
[
1748358990,
699.796875,
22.6
],
[
1748358990,
699.796875,
26.7
],
[
1748358990,
699.796875,
22
],
[
1748358990,
699.796875,
35.3
],
[
1748358990,
699.796875,
26.7
],
[
1748358990,
699.796875,
22.2
],
[
1748358991,
699.796875,
26.9
],
[
1748359061,
706.7265625,
22.3
],
[
1748359061,
706.7265625,
16.1
],
[
1748359061,
706.7265625,
22.3
],
[
1748359061,
706.7265625,
16
],
[
1748359062,
706.7265625,
22.3
],
[
1748359062,
706.7265625,
23.7
],
[
1748359062,
706.7265625,
22.3
],
[
1748359062,
706.7265625,
20.7
],
[
1748359062,
706.7265625,
22.3
],
[
1748359062,
706.7265625,
29.4
],
[
1748359062,
706.7265625,
22.3
],
[
1748359062,
706.7265625,
30
],
[
1748359062,
706.7265625,
22.3
],
[
1748359062,
706.7265625,
31.3
],
[
1748360543,
715.82421875,
21.7
],
[
1748360543,
715.82421875,
21.4
],
[
1748360543,
715.82421875,
22.8
],
[
1748360543,
715.82421875,
21.7
],
[
1748360543,
715.82421875,
22.5
],
[
1748360543,
715.82421875,
21.7
],
[
1748360543,
715.82421875,
20.5
],
[
1748360543,
715.82421875,
21.7
],
[
1748360543,
715.82421875,
21.6
],
[
1748360543,
715.82421875,
21.7
],
[
1748360543,
715.82421875,
15.4
],
[
1748360543,
715.82421875,
21.7
],
[
1748360544,
715.82421875,
21.7
],
[
1748360544,
715.82421875,
20
],
[
1748360544,
715.82421875,
19.1
],
[
1748360613,
716.45703125,
21.7
],
[
1748360613,
716.45703125,
21.2
],
[
1748360613,
716.45703125,
21.5
],
[
1748360613,
716.45703125,
20
],
[
1748360613,
716.45703125,
21.7
],
[
1748360613,
716.45703125,
21.6
],
[
1748360613,
716.45703125,
21.5
],
[
1748360613,
716.45703125,
21.3
],
[
1748360613,
716.45703125,
21.7
],
[
1748360613,
716.45703125,
23.1
],
[
1748360614,
716.45703125,
21.5
],
[
1748360614,
716.45703125,
20.8
],
[
1748360614,
716.45703125,
21.5
],
[
1748360614,
716.45703125,
21.7
],
[
1748360614,
716.45703125,
21.7
],
[
1748360614,
716.45703125,
21.8
],
[
1748360614,
716.45703125,
21.5
],
[
1748360614,
716.45703125,
21
],
[
1748360614,
716.45703125,
21.5
],
[
1748360614,
716.45703125,
21.4
],
[
1748360614,
716.45703125,
21.5
],
[
1748360614,
716.45703125,
21.3
]
];
var tab_main_worker_cpu_ram_headers_json = [
"timestamp",
"ram_usage_mb",
"cpu_usage_percent"
];
"use strict";
function add_default_layout_data (layout, no_height = 0) {
layout["width"] = get_graph_width();
if (!no_height) {
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,
ellipsis: false
}).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));
}
}
}
}
$("#plotScatter3d").data("loaded", "true");
}
async function plot_worker_cpu_ram() {
if($("#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_node";
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',
jitter: 0.5,
pointpos: 0
};
});
var layout = {
title: 'Distribution of Results by Generation Method',
yaxis: {
title: get_axis_title_data(res_col)
},
xaxis: {
title: get_axis_title_data("Generation Method")
},
boxmode: 'group'
};
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));
$("#plotJobStatusDistribution").data("loaded", "true");
}
function _colorize_table_entries_by_generation_method () {
document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
let text = el.textContent.toLowerCase();
let color = text.includes("manual") ? "green" :
text.includes("sobol") ? "orange" :
text.includes("saasbo") ? "pink" :
text.includes("uniform") ? "lightblue" :
text.includes("legacy_gpei") ? "sienna" :
text.includes("bo_mixed") ? "aqua" :
text.includes("randomforest") ? "darkseagreen" :
text.includes("external_generator") ? "purple" :
text.includes("botorch") ? "yellow" : "";
if (color !== "") {
el.style.backgroundColor = color;
}
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_trial_status () {
document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
el.textContent.includes("RUNNING") ? "orange" :
el.textContent.includes("FAILED") ? "red" :
el.textContent.includes("ABANDONED") ? "yellow" : "";
if (color) el.style.backgroundColor = color;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_run_time() {
let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
if (values.length === 0) return;
let min = Math.min(...values);
let max = Math.max(...values);
let range = max - min || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value)) return;
let ratio = (value - min) / range;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${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';
}
}
function demo_mode(nr_sec = 3) {
let i = 0;
let tabs = $('menu[role="tablist"] > button');
setInterval(() => {
tabs.attr('aria-selected', 'false').removeClass('active');
let tab = tabs.eq(i % tabs.length);
tab.attr('aria-selected', 'true').addClass('active');
tab.trigger('click');
i++;
}, nr_sec * 1000);
}
function resizePlotlyCharts() {
const plotlyElements = document.querySelectorAll('.js-plotly-plot');
if (plotlyElements.length) {
const windowWidth = window.innerWidth;
const windowHeight = window.innerHeight;
const newWidth = windowWidth * 0.9;
const newHeight = windowHeight * 0.9;
plotlyElements.forEach(function(element, index) {
const layout = {
width: newWidth,
height: newHeight,
plot_bgcolor: 'rgba(0, 0, 0, 0)',
paper_bgcolor: 'rgba(0, 0, 0, 0)',
};
Plotly.relayout(element, layout)
});
}
make_text_in_parallel_plot_nicer();
apply_theme_based_on_system_preferences();
}
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();
});
window.addEventListener('resize', function() {
resizePlotlyCharts();
});
"use strict";
function get_row_by_index(idx) {
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
if(trial_index_col_idx == -1) {
error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
return null;
}
for (var i = 0; i < tab_results_csv_json.length; i++) {
var row = tab_results_csv_json[i];
var trial_index = row[trial_index_col_idx];
if (trial_index == idx) {
return row;
}
}
return null;
}
function load_pareto_graph_from_idxs () {
if (!Object.keys(window).includes("pareto_idxs")) {
error("pareto_idxs is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
if(pareto_idxs === null) {
var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
return;
}
var table = get_pareto_table_data_from_idx();
var html_tables = createParetoTablesFromData(table);
$("#pareto_from_idxs_table").html(html_tables);
renderParetoFrontPlots(table);
apply_theme_based_on_system_preferences();
}
function renderParetoFrontPlots(data) {
try {
let container = document.getElementById("pareto_front_idxs_plot_container");
if (!container) {
console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
return;
}
container.innerHTML = "";
if(data === undefined || data === null) {
var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
return;
}
Object.keys(data).forEach((key, idx) => {
if (!key.startsWith("Pareto front for ")) return;
let label = key.replace("Pareto front for ", "");
let [xKey, yKey] = label.split("/");
if (!xKey || !yKey) {
console.warn("Could not extract two objectives from key:", key);
return;
}
let entries = data[key];
let x = [];
let y = [];
let hoverTexts = [];
entries.forEach((entry) => {
let results = entry.results || {};
let values = entry.values || {};
let xVal = (results[xKey] || [])[0];
let yVal = (results[yKey] || [])[0];
if (xVal === undefined || yVal === undefined) {
console.warn("Missing values for", xKey, yKey, "in", entry);
return;
}
x.push(xVal);
y.push(yVal);
let hoverInfo = [];
if ("trial_index" in values) {
hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
}
Object.keys(values)
.filter(k => k !== "trial_index")
.sort()
.forEach(k => {
hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
});
Object.keys(results)
.sort()
.forEach(k => {
hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
});
hoverTexts.push(hoverInfo.join("<br>"));
});
let wrapper = document.createElement("div");
wrapper.style.marginBottom = "30px";
let titleEl = document.createElement("h3");
titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
wrapper.appendChild(titleEl);
let divId = `pareto_plot_${idx}`;
let plotDiv = document.createElement("div");
plotDiv.id = divId;
plotDiv.style.width = "100%";
plotDiv.style.height = "400px";
wrapper.appendChild(plotDiv);
container.appendChild(wrapper);
let trace = {
x: x,
y: y,
text: hoverTexts,
hoverinfo: "text",
mode: "markers",
type: "scatter",
marker: {
size: 8,
color: 'rgb(31, 119, 180)',
line: {
width: 1,
color: 'black'
}
},
name: label
};
let layout = {
xaxis: { title: { text: xKey } },
yaxis: { title: { text: yKey } },
margin: { t: 10, l: 60, r: 20, b: 50 },
hovermode: "closest",
showlegend: false
};
Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
});
} catch (e) {
console.error("Error while rendering Pareto front plots:", e);
}
}
function createParetoTablesFromData(data) {
try {
var container = document.createElement("div");
var parsedData;
try {
parsedData = typeof data === "string" ? JSON.parse(data) : data;
} catch (e) {
console.error("JSON parsing failed:", e);
return container;
}
for (var sectionTitle in parsedData) {
if (!parsedData.hasOwnProperty(sectionTitle)) {
continue;
}
var sectionData = parsedData[sectionTitle];
var heading = document.createElement("h2");
heading.textContent = sectionTitle;
container.appendChild(heading);
var table = document.createElement("table");
table.style.borderCollapse = "collapse";
table.style.marginBottom = "2em";
table.style.width = "100%";
var thead = document.createElement("thead");
var headerRow = document.createElement("tr");
var allValueKeys = new Set();
var allResultKeys = new Set();
sectionData.forEach(entry => {
var values = entry.values || {};
var results = entry.results || {};
Object.keys(values).forEach(key => {
allValueKeys.add(key);
});
Object.keys(results).forEach(key => {
allResultKeys.add(key);
});
});
var sortedValueKeys = Array.from(allValueKeys).sort();
var sortedResultKeys = Array.from(allResultKeys).sort();
if (sortedValueKeys.includes("trial_index")) {
sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
sortedValueKeys.unshift("trial_index");
}
var allColumns = [...sortedValueKeys, ...sortedResultKeys];
allColumns.forEach(col => {
var th = document.createElement("th");
th.textContent = col;
th.style.border = "1px solid black";
th.style.padding = "4px";
headerRow.appendChild(th);
});
thead.appendChild(headerRow);
table.appendChild(thead);
var tbody = document.createElement("tbody");
sectionData.forEach(entry => {
var tr = document.createElement("tr");
allColumns.forEach(col => {
var td = document.createElement("td");
td.style.border = "1px solid black";
td.style.padding = "4px";
var value = null;
if (col in entry.values) {
value = entry.values[col];
} else if (col in entry.results) {
value = entry.results[col];
}
if (Array.isArray(value)) {
td.textContent = value.join(", ");
} else {
td.textContent = value !== null && value !== undefined ? value : "";
}
tr.appendChild(td);
});
tbody.appendChild(tr);
});
table.appendChild(tbody);
container.appendChild(table);
}
return container;
} catch (err) {
console.error("Unexpected error:", err);
var errorDiv = document.createElement("div");
errorDiv.textContent = "Error generating tables.";
return errorDiv;
}
}
function get_pareto_table_data_from_idx () {
if (!Object.keys(window).includes("pareto_idxs")) {
error("pareto_idxs is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
var x_keys = Object.keys(pareto_idxs);
var tables = {};
for (var i = 0; i < x_keys.length; i++) {
var x_key = x_keys[i];
var y_keys = Object.keys(pareto_idxs[x_key]);
for (var j = 0; j < y_keys.length; j++) {
var y_key = y_keys[j];
var indices = pareto_idxs[x_key][y_key];
for (var k = 0; k < indices.length; k++) {
var idx = indices[k];
var row = get_row_by_index(idx);
if(row === null) {
error(`Error getting the row for index ${idx}`);
return;
}
var row_dict = {
"results": {},
"values": {},
};
for (var l = 0; l < tab_results_headers_json.length; l++) {
var header = tab_results_headers_json[l];
if (!special_col_names.includes(header) || header == "trial_index") {
var val = row[l];
if (result_names.includes(header)) {
if (!Object.keys(row_dict["results"]).includes(header)) {
row_dict["results"][header] = [];
}
row_dict["results"][header].push(val);
} else {
if (!Object.keys(row_dict["values"]).includes(header)) {
row_dict["values"][header] = [];
}
row_dict["values"][header].push(val);
}
}
}
var table_key = `Pareto front for ${x_key}/${y_key}`;
if(!Object.keys(tables).includes(table_key)) {
tables[table_key] = [];
}
tables[table_key].push(row_dict);
}
}
}
return tables;
}
function getMinMaxByResultName(resultName) {
try {
if (typeof resultName !== "string") {
error("Parameter resultName must be a string");
return;
}
if (!Array.isArray(result_names)) {
error("Global variable result_names is not an array or undefined");
return;
}
if (!Array.isArray(result_min_max)) {
error("Global variable result_min_max is not an array or undefined");
return;
}
if (result_names.length !== result_min_max.length) {
error("Global arrays result_names and result_min_max must have the same length");
return;
}
var index = result_names.indexOf(resultName);
if (index === -1) {
error("Result name '" + resultName + "' not found in result_names");
return;
}
var minMaxValue = result_min_max[index];
if (minMaxValue !== "min" && minMaxValue !== "max") {
error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
return;
}
return minMaxValue;
} catch (e) {
error("Unexpected error: " + e.message);
}
}
$(document).ready(function() {
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>
<button onclick="window.open('https://imageseg.scads.de/omniax/gui?partition=barnard&experiment_name=vergl_botorch_dl_ext&reservation=&account=&mem_gb=5&time=600&worker_timeout=30&max_eval=2000&num_parallel_jobs=20&gpus=0&num_random_steps=20&follow=1&live_share=1&send_anonymized_usage_stats=1&checkout_to_latest_tested_version=0&constraints=&result_names=RESULT%3Dmin%20TIME%3Dmin&run_program=bash%20%2Fdata%2Fhorse%2Fws%2Fpwinkler-oopt%2Frun.sh%20%25(epochs)%20%25(lr)%20%25(bsz)%20%25(da)%20%25(db)&cpus_per_task=1&nodes_per_job=1&seed=&verbose=0&generate_all_jobs_at_once=1&flame_graph=0&debug=0&revert_to_random_when_seemingly_exhausted=1&gridsearch=0&model=BOTORCH_MODULAR&external_generator=&n_estimators_randomforest=100&installation_method=clone&run_mode=local&decimalrounding=4&disable_tqdm=0&verbose_tqdm=0&force_local_execution=0&auto_exclude_defective_hosts=0&show_sixel_general=0&show_sixel_trial_index_result=0&show_sixel_scatter=0&show_worker_percentage_table_at_end=0&occ=0&occ_type=euclid&no_sleep=0&slurm_use_srun=0&verbose_break_run_search_table=0&abbreviate_job_names=0&main_process_gb=8&max_nr_of_zero_results=50&slurm_signal_delay_s=0&max_failed_jobs=0&exclude=&username=&generation_strategy=&root_venv_dir=&workdir=&dont_jit_compile=0&fit_out_of_design=0&refit_on_cv=0&show_generate_time_table=0&dont_warm_start_refitting=0&max_attempts_for_generation=20&num_restarts=20&raw_samples=1024&force_choice_for_ranges=0&no_transform_inputs=0&fit_abandoned=0&no_normalize_y=0&batch_limit=32&parameter_0_name=epochs&parameter_0_type=range&parameter_0_min=10&parameter_0_max=350&parameter_0_number_type=int&parameter_0_log_scale=false&parameter_1_name=lr&parameter_1_type=range&parameter_1_min=0.001&parameter_1_max=0.05&parameter_1_number_type=float&parameter_1_log_scale=false&parameter_2_name=bsz&parameter_2_type=range&parameter_2_min=4&parameter_2_max=32&parameter_2_number_type=int&parameter_2_log_scale=false&parameter_3_name=da&parameter_3_type=range&parameter_3_min=10&parameter_3_max=200&parameter_3_number_type=int&parameter_3_log_scale=false&parameter_4_name=db&parameter_4_type=range&parameter_4_min=10&parameter_4_max=250&parameter_4_number_type=int&parameter_4_log_scale=false&partition=barnard&num_parameters=5', '_blank')">GUI page with all the settings of this job</button><br><br><h2>Experiment overview </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Model for non-random steps</td><td>BOTORCH_MODULAR </td></tr><tr><td> Max. nr. evaluations</td><td>2000 </td></tr><tr><td> Number random steps</td><td>20 </td></tr><tr><td> Nr. of workers (parameter)</td><td>20 </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>Experiment parameters </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> epochs</td><td>range</td><td>10</td><td>350</td><td>int</td><td>No </td></tr><tr><td> lr</td><td>range</td><td>0.001</td><td>0.05</td><td>float</td><td>No </td></tr><tr><td> bsz</td><td>range</td><td>4</td><td>32</td><td>int</td><td>No </td></tr><tr><td> da</td><td>range</td><td>10</td><td>200</td><td>int</td><td>No </td></tr><tr><td> db</td><td>range</td><td>10</td><td>250</td><td>int</td><td>No </td></tr></tbody></table><h2>Number of evaluations</h2>
<table>
<tbody>
<tr>
<th>Failed</th>
<th>Succeeded</th>
<th>Running</th>
<th>Total</th>
</tr>
<tr>
<td>0</td>
<td>49</td>
<td>11</td>
<td>60</td>
</tr>
</tbody>
</table>
<h2>Result names and types</h2>
<table>
<tr><th>name</th><th>min/max</th></tr>
<tr>
<td>RESULT</td>
<td>min</td>
</tr>
<tr>
<td>TIME</td>
<td>min</td>
</tr>
</table>
<h2>Last progressbar status</h2>
<tt>2025-05-27 17:43:07: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.41052631578947374</tt><br>
<h2>Git-Version</h2>
<tt>Commit: 0df3fade2f770e092f5b70052a6e23443befe74f (6877-24-g0df3fade2)
</tt>
<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_node,RESULT,TIME,epochs,lr,bsz,da,db
0,0_0,COMPLETED,SOBOL,0.363157894736842123961650941055,15.332782506942749023437500000000,345,0.025903163433074954252743893335,8,200,66
1,1_0,COMPLETED,SOBOL,0.278947368421052610543142691313,3.453499078750610351562500000000,174,0.005775359461084008522169241928,22,32,143
2,2_0,COMPLETED,SOBOL,0.363157894736842123961650941055,2.842751026153564453125000000000,76,0.039912726011127233616271325900,13,141,207
3,3_0,COMPLETED,SOBOL,0.189473684210526349680492330663,4.014418840408325195312500000000,252,0.016627478961832822812461074591,27,70,103
4,4_0,COMPLETED,SOBOL,0.363157894736842123961650941055,4.143909454345703125000000000000,203,0.048174699342809622348848819229,20,95,73
5,5_0,COMPLETED,SOBOL,0.363157894736842123961650941055,3.619486093521118164062500000000,41,0.021791052578017118535047558225,5,119,237
6,6_0,COMPLETED,SOBOL,0.363157894736842123961650941055,2.234476089477539062500000000000,136,0.037583327449858192070841766963,32,55,173
7,7_0,COMPLETED,SOBOL,0.363157894736842123961650941055,5.951323747634887695312500000000,299,0.008232147173024714770228627003,17,174,36
8,8_0,COMPLETED,SOBOL,0.363157894736842123961650941055,4.468504667282104492187500000000,286,0.042725006626918915486612604582,29,108,148
9,9_0,COMPLETED,SOBOL,0.215789473684210530990412735264,2.936373472213745117187500000000,107,0.013839340071193875769672843035,15,83,41
10,10_0,COMPLETED,SOBOL,0.363157894736842123961650941055,0.811542034149169921875000000000,11,0.028689818051643670854256029656,20,162,130
11,11_0,COMPLETED,SOBOL,0.257894736842105287699666860135,11.250745296478271484375000000000,189,0.002964608523994684101399155196,6,44,203
12,12_0,COMPLETED,SOBOL,0.363157894736842123961650941055,7.092697858810424804687500000000,227,0.034221261506900191307067871094,12,21,234
13,13_0,COMPLETED,SOBOL,0.305263157894736791853063095914,1.520829916000366210937500000000,57,0.011618355571292340172595558556,27,188,100
14,14_0,COMPLETED,SOBOL,0.363157894736842123961650941055,5.514180660247802734375000000000,156,0.044789998718537393784799860441,10,58,10
15,15_0,COMPLETED,SOBOL,0.363157894736842123961650941055,6.025817394256591796875000000000,322,0.025151657477021218539681157722,25,129,178
16,16_0,COMPLETED,SOBOL,0.363157894736842123961650941055,8.129753828048706054687500000000,316,0.045495020604692404386781845460,15,51,114
17,17_0,COMPLETED,SOBOL,0.199999999999999955591079014994,2.614570856094360351562500000000,141,0.022939498839899898768868169441,31,169,218
18,18_0,COMPLETED,SOBOL,0.357894736842105265495206367632,4.545076847076416015625000000000,68,0.031841154552996159265987330400,6,99,132
19,19_0,COMPLETED,SOBOL,0.205263157894736814057523588417,4.443439960479736328125000000000,239,0.012443099276162685601354596088,22,124,55
20,20_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,2.417347192764282226562500000000,171,0.017680302696069641332776711806,31,44,29
21,21_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,0.663273096084594726562500000000,10,0.050000000000000002775557561563,24,35,50
22,22_0,COMPLETED,BOTORCH_MODULAR,0.284210526315789469009587264736,1.975509643554687500000000000000,131,0.018402747019806164202604392699,28,34,16
23,23_0,COMPLETED,BOTORCH_MODULAR,0.394736842105263163738015919080,0.664099454879760742187500000000,10,0.001000000000000000020816681712,23,10,10
24,24_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.742326259613037109375000000000,191,0.017722426557444638517413437739,32,119,10
25,25_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.709119558334350585937500000000,73,0.017384452471897099412601050972,23,154,30
26,26_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.859553813934326171875000000000,183,0.017354746874606953588315860770,32,53,225
27,27_0,COMPLETED,BOTORCH_MODULAR,0.347368421052631548562317220785,0.723531246185302734375000000000,13,0.016318239907910200153784430199,24,49,26
28,28_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,3.249799728393554687500000000000,176,0.017374392637534426947487631310,27,151,142
29,29_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.779745340347290039062500000000,97,0.017648466175000005612405473698,28,14,249
30,30_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,0.675118923187255859375000000000,10,0.050000000000000002775557561563,24,10,250
31,31_0,COMPLETED,BOTORCH_MODULAR,0.447368421052631526357856728282,0.923575878143310546875000000000,21,0.001000000000000000020816681712,23,173,141
32,32_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,1.673884868621826171875000000000,107,0.017458514342450669881712244091,32,10,10
33,33_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,0.692442178726196289062500000000,10,0.050000000000000002775557561563,24,184,192
34,34_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.367763757705688476562500000000,126,0.017824454907680968573924218390,25,200,52
35,35_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.952898502349853515625000000000,173,0.017825463561557716718475319340,18,159,30
36,36_0,COMPLETED,BOTORCH_MODULAR,0.484210526315789424600666279730,1.974028348922729492187500000000,10,0.001000000000000000020816681712,22,136,244
37,37_0,COMPLETED,BOTORCH_MODULAR,0.368421052631578982428095514479,2.265871763229370117187500000000,52,0.017313736657032716137472050377,32,12,54
38,38_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,3.734023332595825195312500000000,181,0.017984054831182705314063241531,32,10,123
39,39_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.973786592483520507812500000000,14,0.040229099643559626531263972993,22,200,10
40,40_0,RUNNING,BOTORCH_MODULAR,,,73,0.012487944883151046171487763559,23,104,102
41,41_0,COMPLETED,BOTORCH_MODULAR,0.305263157894736791853063095914,3.437296628952026367187500000000,188,0.012609635738604459825884518409,25,87,79
42,42_0,RUNNING,BOTORCH_MODULAR,,,18,0.011708715093221846656468265735,23,77,128
43,43_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.766944169998168945312500000000,10,0.041794599755004151198090056596,24,10,130
44,44_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.018522739410400390625000000000,19,0.020510765699027065644965972524,25,182,194
45,45_0,COMPLETED,BOTORCH_MODULAR,0.242105263157894712300333139865,3.618915557861328125000000000000,117,0.012187045098319892674765263507,23,92,82
46,46_0,RUNNING,BOTORCH_MODULAR,,,34,0.011828131868103237273048833345,24,87,89
47,47_0,RUNNING,BOTORCH_MODULAR,,,95,0.020062690100526369557654149389,28,186,204
48,48_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.057872533798217773437500000000,14,0.050000000000000002775557561563,24,36,156
49,49_0,RUNNING,BOTORCH_MODULAR,,,109,0.023003483708627779635857990570,32,196,237
50,50_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.487117528915405273437500000000,10,0.030294553668301638094106920107,23,34,109
51,51_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,4.373212814331054687500000000000,148,0.012716638728482710513079112502,23,96,100
52,52_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.753783226013183593750000000000,48,0.023474166507225082550780470569,28,182,237
53,53_0,RUNNING,BOTORCH_MODULAR,,,56,0.010779110452620895357900288047,23,92,74
54,54_0,COMPLETED,BOTORCH_MODULAR,0.326315789473684225718841389607,5.537721157073974609375000000000,204,0.012717373101202031696055350096,22,91,91
55,55_0,RUNNING,BOTORCH_MODULAR,,,13,0.013528433386812603947402244842,23,118,94
56,56_0,RUNNING,BOTORCH_MODULAR,,,191,0.012491569013170210691865413821,21,77,64
57,57_0,RUNNING,BOTORCH_MODULAR,,,10,0.050000000000000002775557561563,26,89,138
58,58_0,RUNNING,BOTORCH_MODULAR,,,16,0.008889030710019398331955819970,10,160,18
59,59_0,RUNNING,BOTORCH_MODULAR,,,60,0.019562886370738347824316250012,32,169,250
</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> 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'>2025-05-27 16:42:46: SOBOL, Started OmniOpt2 run...
2025-05-27 16:42:55: Sobol, getting new HP set #1/20
2025-05-27 16:42:58: Sobol, getting new HP set #2/20 | ETA: 0s
2025-05-27 16:43:01: Sobol, getting new HP set #3/20 | ETA: 0s
2025-05-27 16:43:05: Sobol, getting new HP set #4/20 | ETA: 0s
2025-05-27 16:43:08: Sobol, getting new HP set #5/20 | ETA: 0s
2025-05-27 16:43:10: Sobol, getting new HP set #6/20 | ETA: 0s
2025-05-27 16:43:14: Sobol, getting new HP set #7/20 | ETA: 0s
2025-05-27 16:43:17: Sobol, getting new HP set #8/20 | ETA: 0s
2025-05-27 16:43:20: Sobol, getting new HP set #9/20 | ETA: 0s
2025-05-27 16:43:23: Sobol, getting new HP set #10/20 | ETA: 0s
2025-05-27 16:43:26: Sobol, getting new HP set #11/20 | ETA: 0s
2025-05-27 16:43:29: Sobol, getting new HP set #12/20 | ETA: 0s
2025-05-27 16:43:32: Sobol, getting new HP set #13/20 | ETA: 0s
2025-05-27 16:43:35: Sobol, getting new HP set #14/20 | ETA: 0s
2025-05-27 16:43:39: Sobol, getting new HP set #15/20 | ETA: 0s
2025-05-27 16:43:43: Sobol, getting new HP set #16/20 | ETA: 0s
2025-05-27 16:43:47: Sobol, getting new HP set #17/20 | ETA: 0s
2025-05-27 16:43:50: Sobol, getting new HP set #18/20 | ETA: 0s
2025-05-27 16:43:53: Sobol, getting new HP set #19/20 | ETA: 0s
2025-05-27 16:43:56: Sobol, getting new HP set #20/20 | ETA: 0s
2025-05-27 16:43:59: Sobol, requested 20 jobs, got 20, 3.2481223583221435 s/job
2025-05-27 16:44:02: Sobol, eval #1/20 start
2025-05-27 16:44:06: Sobol, eval #2/20 start
2025-05-27 16:44:10: Sobol, eval #3/20 start
2025-05-27 16:44:12: Sobol, eval #4/20 start
2025-05-27 16:44:16: Sobol, eval #5/20 start
2025-05-27 16:44:19: Sobol, eval #6/20 start
2025-05-27 16:44:24: Sobol, eval #7/20 start
2025-05-27 16:44:26: Sobol, eval #8/20 start
2025-05-27 16:44:30: Sobol, eval #9/20 start
2025-05-27 16:44:32: Sobol, eval #10/20 start
2025-05-27 16:44:34: Sobol, eval #11/20 start
2025-05-27 16:44:36: Sobol, eval #12/20 start
2025-05-27 16:44:38: Sobol, eval #13/20 start
2025-05-27 16:44:40: Sobol, eval #14/20 start
2025-05-27 16:44:41: Sobol, eval #15/20 start
2025-05-27 16:44:45: Sobol, eval #16/20 start
2025-05-27 16:44:47: Sobol, eval #17/20 start
2025-05-27 16:44:49: Sobol, eval #18/20 start
2025-05-27 16:44:50: Sobol, eval #19/20 start
2025-05-27 16:44:52: Sobol, eval #20/20 start
2025-05-27 16:44:54: Sobol, starting new job
2025-05-27 16:44:54: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:55: Sobol, starting new job
2025-05-27 16:44:56: Sobol, starting new job
2025-05-27 16:44:56: Sobol, starting new job
2025-05-27 16:45:13: Sobol, pending/unknown 6/2 = ∑8/20, started new job
2025-05-27 16:45:13: Sobol, pending/unknown 6/2 = ∑8/20, started new job
2025-05-27 16:45:13: Sobol, pending/unknown 6/3 = ∑9/20, started new job
2025-05-27 16:45:13: Sobol, pending/unknown 6/3 = ∑9/20, started new job
2025-05-27 16:45:13: Sobol, pending/unknown 6/4 = ∑10/20, started new job
2025-05-27 16:45:13: Sobol, pending/unknown 6/4 = ∑10/20, started new job
2025-05-27 16:45:14: Sobol, pending/unknown 6/6 = ∑12/20, started new job
2025-05-27 16:45:14: Sobol, pending/unknown 6/7 = ∑13/20, started new job
2025-05-27 16:45:14: Sobol, pending/unknown 6/8 = ∑14/20, started new job
2025-05-27 16:45:15: Sobol, pending/unknown 6/10 = ∑16/20, started new job
2025-05-27 16:45:15: Sobol, pending/unknown 6/10 = ∑16/20, started new job
2025-05-27 16:45:15: Sobol, pending/unknown 6/10 = ∑16/20, started new job
2025-05-27 16:45:15: Sobol, pending/unknown 6/10 = ∑16/20, started new job
2025-05-27 16:45:16: Sobol, pending/unknown 6/10 = ∑16/20, started new job
2025-05-27 16:45:16: Sobol, pending/unknown 6/10 = ∑16/20, started new job
2025-05-27 16:45:16: Sobol, pending/unknown 6/10 = ∑16/20, started new job
2025-05-27 16:45:34: Sobol, running/pending 10/6 = ∑16/20, starting new job
2025-05-27 16:45:34: Sobol, running/pending 10/6 = ∑16/20, starting new job
2025-05-27 16:45:34: Sobol, running/pending 10/6 = ∑16/20, starting new job
2025-05-27 16:45:35: Sobol, running/pending 10/6 = ∑16/20, starting new job
2025-05-27 16:45:41: Sobol, running/completed/pending/unknown 3/7/6/4 = ∑20/20, started new job
2025-05-27 16:45:42: Sobol, running/completed/pending/unknown 3/7/6/4 = ∑20/20, started new job
2025-05-27 16:45:42: Sobol, running/completed/pending/unknown 3/7/6/4 = ∑20/20, started new job
2025-05-27 16:45:42: Sobol, running/completed/pending/unknown 3/7/6/4 = ∑20/20, started new job
2025-05-27 16:45:50: Sobol, completed/pending 10/10 = ∑20/20, new result: 0.3052631578947368
2025-05-27 16:45:50: Sobol, completed/pending 10/10 = ∑20/20, new result: 0.3631578947368421
2025-05-27 16:45:50: Sobol, completed/pending 10/10 = ∑20/20, new result: 0.18947368421052635
2025-05-27 16:45:50: Sobol, completed/pending 10/10 = ∑20/20, new result: 0.3631578947368421
2025-05-27 16:45:50: Sobol, completed/pending 10/10 = ∑20/20, new result: 0.3631578947368421
2025-05-27 16:45:50: Sobol, completed/pending 10/10 = ∑20/20, new result: 0.21578947368421053
2025-05-27 16:45:50: Sobol, completed/pending 10/10 = ∑20/20, new result: 0.3631578947368421
2025-05-27 16:45:50: Sobol, completed/pending 10/10 = ∑20/20, new result: 0.2578947368421053
2025-05-27 16:45:50: Sobol, completed/pending 10/10 = ∑20/20, new result: 0.3631578947368421
2025-05-27 16:45:51: Sobol, completed/pending 10/10 = ∑20/20, new result: 0.3631578947368421
2025-05-27 16:46:25: Sobol, 10 done, completed/running 9/1 = ∑10/20, finishing jobs, finished 10 jobs
2025-05-27 16:46:29: Sobol, 10 done, completed/running 9/1 = ∑10/20, new result: 0.3631578947368421
2025-05-27 16:46:29: Sobol, 10 done, completed/running 9/1 = ∑10/20, new result: 0.3631578947368421
2025-05-27 16:46:29: Sobol, 10 done, completed/running 9/1 = ∑10/20, new result: 0.3631578947368421
2025-05-27 16:46:29: Sobol, 10 done, completed/running 9/1 = ∑10/20, new result: 0.3631578947368421
2025-05-27 16:46:29: Sobol, 10 done, completed/running 9/1 = ∑10/20, new result: 0.3631578947368421
2025-05-27 16:46:29: Sobol, 10 done, completed/running 9/1 = ∑10/20, new result: 0.35789473684210527
2025-05-27 16:46:29: Sobol, 10 done, completed/running 9/1 = ∑10/20, new result: 0.3631578947368421
2025-05-27 16:46:29: Sobol, 10 done, completed/running 9/1 = ∑10/20, new result: 0.2789473684210526
2025-05-27 16:46:30: Sobol, 10 done, completed/running 9/1 = ∑10/20, new result: 0.20526315789473681
2025-05-27 16:47:08: Sobol, 19 done, completed 1 = ∑1/20, finishing previous jobs (10), finished 9 jobs
2025-05-27 16:47:12: Sobol, 19 done, completed 1 = ∑1/20, waiting for 1 job
2025-05-27 16:47:20: Sobol, 19 done, completed 1 = ∑1/20, new result: 0.19999999999999996
2025-05-27 16:47:29: Sobol, 20 done, waiting for 1 job, finished 1 job
2025-05-27 17:00:23: BoTorchGenerator, 20 done, getting new HP set #1/20
2025-05-27 17:00:26: BoTorchGenerator, 20 done, getting new HP set #2/20 | ETA: 0s
2025-05-27 17:00:29: BoTorchGenerator, 20 done, getting new HP set #3/20 | ETA: 0s
2025-05-27 17:00:32: BoTorchGenerator, 20 done, getting new HP set #4/20 | ETA: 0s
2025-05-27 17:00:34: BoTorchGenerator, 20 done, getting new HP set #5/20 | ETA: 0s
2025-05-27 17:00:38: BoTorchGenerator, 20 done, getting new HP set #6/20 | ETA: 0s
2025-05-27 17:00:41: BoTorchGenerator, 20 done, getting new HP set #7/20 | ETA: 0s
2025-05-27 17:00:44: BoTorchGenerator, 20 done, getting new HP set #8/20 | ETA: 0s
2025-05-27 17:00:47: BoTorchGenerator, 20 done, getting new HP set #9/20 | ETA: 0s
2025-05-27 17:00:49: BoTorchGenerator, 20 done, getting new HP set #10/20 | ETA: 0s
2025-05-27 17:00:52: BoTorchGenerator, 20 done, getting new HP set #11/20 | ETA: 0s
2025-05-27 17:00:55: BoTorchGenerator, 20 done, getting new HP set #12/20 | ETA: 0s
2025-05-27 17:00:59: BoTorchGenerator, 20 done, getting new HP set #13/20 | ETA: 0s
2025-05-27 17:01:02: BoTorchGenerator, 20 done, getting new HP set #14/20 | ETA: 0s
2025-05-27 17:01:05: BoTorchGenerator, 20 done, getting new HP set #15/20 | ETA: 0s
2025-05-27 17:01:08: BoTorchGenerator, 20 done, getting new HP set #16/20 | ETA: 0s
2025-05-27 17:01:11: BoTorchGenerator, 20 done, getting new HP set #17/20 | ETA: 0s
2025-05-27 17:01:14: BoTorchGenerator, 20 done, getting new HP set #18/20 | ETA: 0s
2025-05-27 17:01:17: BoTorchGenerator, 20 done, getting new HP set #19/20 | ETA: 0s
2025-05-27 17:01:19: BoTorchGenerator, 20 done, getting new HP set #20/20 | ETA: 0s
2025-05-27 17:01:22: BoTorchGenerator, 20 done, requested 20 jobs, got 20, 41.492793118953706 s/job
2025-05-27 17:01:24: BoTorchGenerator, 20 done, eval #1/20 start
2025-05-27 17:01:27: BoTorchGenerator, 20 done, eval #2/20 start
2025-05-27 17:01:30: BoTorchGenerator, 20 done, eval #3/20 start
2025-05-27 17:01:32: BoTorchGenerator, 20 done, eval #4/20 start
2025-05-27 17:01:35: BoTorchGenerator, 20 done, eval #5/20 start
2025-05-27 17:01:38: BoTorchGenerator, 20 done, eval #6/20 start
2025-05-27 17:01:41: BoTorchGenerator, 20 done, eval #7/20 start
2025-05-27 17:01:43: BoTorchGenerator, 20 done, eval #8/20 start
2025-05-27 17:01:46: BoTorchGenerator, 20 done, eval #9/20 start
2025-05-27 17:01:48: BoTorchGenerator, 20 done, eval #10/20 start
2025-05-27 17:01:51: BoTorchGenerator, 20 done, eval #11/20 start
2025-05-27 17:01:55: BoTorchGenerator, 20 done, eval #12/20 start
2025-05-27 17:01:58: BoTorchGenerator, 20 done, eval #13/20 start
2025-05-27 17:02:00: BoTorchGenerator, 20 done, eval #14/20 start
2025-05-27 17:02:06: BoTorchGenerator, 20 done, eval #15/20 start
2025-05-27 17:02:09: BoTorchGenerator, 20 done, eval #16/20 start
2025-05-27 17:02:12: BoTorchGenerator, 20 done, eval #17/20 start
2025-05-27 17:02:15: BoTorchGenerator, 20 done, eval #18/20 start
2025-05-27 17:02:17: BoTorchGenerator, 20 done, eval #19/20 start
2025-05-27 17:02:20: BoTorchGenerator, 20 done, eval #20/20 start
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:27: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:28: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:29: BoTorchGenerator, 20 done, starting new job
2025-05-27 17:02:53: BoTorchGenerator, 20 done, pending/unknown 3/1 = ∑4/20, started new job
2025-05-27 17:02:54: BoTorchGenerator, 20 done, pending/unknown 3/1 = ∑4/20, started new job
2025-05-27 17:02:54: BoTorchGenerator, 20 done, pending/unknown 3/2 = ∑5/20, started new job
2025-05-27 17:02:54: BoTorchGenerator, 20 done, pending/unknown 3/2 = ∑5/20, started new job
2025-05-27 17:02:55: BoTorchGenerator, 20 done, pending/unknown 3/9 = ∑12/20, started new job
2025-05-27 17:02:57: BoTorchGenerator, 20 done, pending/unknown 3/11 = ∑14/20, started new job
2025-05-27 17:02:57: BoTorchGenerator, 20 done, pending/unknown 3/13 = ∑16/20, started new job
2025-05-27 17:02:57: BoTorchGenerator, 20 done, pending/unknown 3/13 = ∑16/20, started new job
2025-05-27 17:02:57: BoTorchGenerator, 20 done, pending/unknown 3/11 = ∑14/20, started new job
2025-05-27 17:02:57: BoTorchGenerator, 20 done, pending/unknown 3/11 = ∑14/20, started new job
2025-05-27 17:02:57: BoTorchGenerator, 20 done, pending/unknown 3/13 = ∑16/20, started new job
2025-05-27 17:02:57: BoTorchGenerator, 20 done, pending/unknown 3/13 = ∑16/20, started new job
2025-05-27 17:02:58: BoTorchGenerator, 20 done, pending/unknown 3/13 = ∑16/20, started new job
2025-05-27 17:02:58: BoTorchGenerator, 20 done, pending/unknown 3/13 = ∑16/20, started new job
2025-05-27 17:02:59: BoTorchGenerator, 20 done, pending/unknown 3/13 = ∑16/20, started new job
2025-05-27 17:02:59: BoTorchGenerator, 20 done, pending/unknown 3/13 = ∑16/20, started new job
2025-05-27 17:03:19: BoTorchGenerator, 20 done, running/pending 10/6 = ∑16/20, starting new job
2025-05-27 17:03:21: BoTorchGenerator, 20 done, running/pending 10/6 = ∑16/20, starting new job
2025-05-27 17:03:22: BoTorchGenerator, 20 done, running/pending 10/6 = ∑16/20, starting new job
2025-05-27 17:03:22: BoTorchGenerator, 20 done, running/pending 10/6 = ∑16/20, starting new job
2025-05-27 17:03:29: BoTorchGenerator, 20 done, running/pending/unknown 10/6/1 = ∑17/20, started new job
2025-05-27 17:03:31: BoTorchGenerator, 20 done, running/pending/unknown 10/6/4 = ∑20/20, started new job
2025-05-27 17:03:32: BoTorchGenerator, 20 done, running/pending/unknown 10/6/4 = ∑20/20, started new job
2025-05-27 17:03:32: BoTorchGenerator, 20 done, running/pending/unknown 10/6/4 = ∑20/20, started new job
2025-05-27 17:03:42: BoTorchGenerator, 20 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-05-27 17:03:50: BoTorchGenerator, 20 done, running/pending 16/4 = ∑20/20, waiting for 20 jobs
2025-05-27 17:03:58: BoTorchGenerator, 20 done, running/pending 16/4 = ∑20/20, waiting for 20 jobs
2025-05-27 17:04:07: BoTorchGenerator, 20 done, running/pending 16/4 = ∑20/20, waiting for 20 jobs
2025-05-27 17:04:16: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:04:25: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:04:35: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:04:44: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:04:53: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:05:02: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:05:11: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:05:20: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:05:28: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:05:38: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:05:46: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:05:56: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:06:06: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:06:15: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:06:23: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:06:31: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:06:40: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:06:48: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:06:57: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:07:05: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:07:14: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:07:23: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:07:33: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:07:44: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:07:53: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:08:02: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:08:12: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:08:23: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:08:39: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:08:48: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:09:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:09:13: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:09:24: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:09:36: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:09:44: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:09:53: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:10:01: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:10:10: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:10:18: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:10:28: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:10:37: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:10:46: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:10:54: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:11:02: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:11:11: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:11:19: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:11:28: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:11:37: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:11:45: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:11:54: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:12:05: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:12:15: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:12:24: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:12:33: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:12:41: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:12:51: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:13:00: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:13:09: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:13:18: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:13:27: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:13:36: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:13:45: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:13:53: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:14:02: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:14:12: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:14:20: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:14:29: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:14:39: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:14:50: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:14:59: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:15:07: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:15:15: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:15:24: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:15:33: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:15:44: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:15:53: BoTorchGenerator, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.3631578947368421
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.3631578947368421
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.3631578947368421
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.3631578947368421
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.28421052631578947
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.32105263157894737
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.3526315789473684
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.23684210526315785
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.4473684210526315
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.34736842105263155
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.35789473684210527
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.35789473684210527
2025-05-27 17:16:04: BoTorchGenerator, 20 done, running 20 = ∑20/20, new result: 0.3631578947368421
2025-05-27 17:17:14: BoTorchGenerator, 33 done, completed 7 = ∑7/20, waiting for 20 jobs, finished 13 jobs
2025-05-27 17:17:18: BoTorchGenerator, 33 done, completed 7 = ∑7/20, waiting for 7 jobs
2025-05-27 17:17:27: BoTorchGenerator, 33 done, completed 7 = ∑7/20, new result: 0.35789473684210527
2025-05-27 17:17:27: BoTorchGenerator, 33 done, completed 7 = ∑7/20, new result: 0.39473684210526316
2025-05-27 17:17:27: BoTorchGenerator, 33 done, completed 7 = ∑7/20, new result: 0.368421052631579
2025-05-27 17:17:27: BoTorchGenerator, 33 done, completed 7 = ∑7/20, new result: 0.4842105263157894
2025-05-27 17:17:27: BoTorchGenerator, 33 done, completed 7 = ∑7/20, new result: 0.3631578947368421
2025-05-27 17:17:27: BoTorchGenerator, 33 done, completed 7 = ∑7/20, new result: 0.25263157894736843
2025-05-27 17:17:27: BoTorchGenerator, 33 done, completed 7 = ∑7/20, new result: 0.3631578947368421
2025-05-27 17:18:07: BoTorchGenerator, 40 done, waiting for 7 jobs, finished 7 jobs
2025-05-27 17:38:20: BoTorchGenerator, 40 done, getting new HP set #1/20
2025-05-27 17:38:23: BoTorchGenerator, 40 done, getting new HP set #2/20 | ETA: 0s
2025-05-27 17:38:26: BoTorchGenerator, 40 done, getting new HP set #3/20 | ETA: 0s
2025-05-27 17:38:29: BoTorchGenerator, 40 done, getting new HP set #4/20 | ETA: 0s
2025-05-27 17:38:32: BoTorchGenerator, 40 done, getting new HP set #5/20 | ETA: 0s
2025-05-27 17:38:35: BoTorchGenerator, 40 done, getting new HP set #6/20 | ETA: 0s
2025-05-27 17:38:39: BoTorchGenerator, 40 done, getting new HP set #7/20 | ETA: 0s
2025-05-27 17:38:42: BoTorchGenerator, 40 done, getting new HP set #8/20 | ETA: 0s
2025-05-27 17:38:45: BoTorchGenerator, 40 done, getting new HP set #9/20 | ETA: 0s
2025-05-27 17:38:48: BoTorchGenerator, 40 done, getting new HP set #10/20 | ETA: 0s
2025-05-27 17:38:51: BoTorchGenerator, 40 done, getting new HP set #11/20 | ETA: 0s
2025-05-27 17:38:54: BoTorchGenerator, 40 done, getting new HP set #12/20 | ETA: 0s
2025-05-27 17:38:57: BoTorchGenerator, 40 done, getting new HP set #13/20 | ETA: 0s
2025-05-27 17:39:00: BoTorchGenerator, 40 done, getting new HP set #14/20 | ETA: 0s
2025-05-27 17:39:04: BoTorchGenerator, 40 done, getting new HP set #15/20 | ETA: 0s
2025-05-27 17:39:07: BoTorchGenerator, 40 done, getting new HP set #16/20 | ETA: 0s
2025-05-27 17:39:10: BoTorchGenerator, 40 done, getting new HP set #17/20 | ETA: 0s
2025-05-27 17:39:14: BoTorchGenerator, 40 done, getting new HP set #18/20 | ETA: 0s
2025-05-27 17:39:17: BoTorchGenerator, 40 done, getting new HP set #19/20 | ETA: 0s
2025-05-27 17:39:20: BoTorchGenerator, 40 done, getting new HP set #20/20 | ETA: 0s
2025-05-27 17:39:23: BoTorchGenerator, 40 done, requested 20 jobs, got 20, 63.659128594398496 s/job
2025-05-27 17:39:26: BoTorchGenerator, 40 done, eval #1/20 start
2025-05-27 17:39:29: BoTorchGenerator, 40 done, eval #2/20 start
2025-05-27 17:39:32: BoTorchGenerator, 40 done, eval #3/20 start
2025-05-27 17:39:34: BoTorchGenerator, 40 done, eval #4/20 start
2025-05-27 17:39:38: BoTorchGenerator, 40 done, eval #5/20 start
2025-05-27 17:39:41: BoTorchGenerator, 40 done, eval #6/20 start
2025-05-27 17:39:44: BoTorchGenerator, 40 done, eval #7/20 start
2025-05-27 17:39:47: BoTorchGenerator, 40 done, eval #8/20 start
2025-05-27 17:39:50: BoTorchGenerator, 40 done, eval #9/20 start
2025-05-27 17:39:53: BoTorchGenerator, 40 done, eval #10/20 start
2025-05-27 17:39:56: BoTorchGenerator, 40 done, eval #11/20 start
2025-05-27 17:39:59: BoTorchGenerator, 40 done, eval #12/20 start
2025-05-27 17:40:02: BoTorchGenerator, 40 done, eval #13/20 start
2025-05-27 17:40:05: BoTorchGenerator, 40 done, eval #14/20 start
2025-05-27 17:40:08: BoTorchGenerator, 40 done, eval #15/20 start
2025-05-27 17:40:12: BoTorchGenerator, 40 done, eval #16/20 start
2025-05-27 17:40:15: BoTorchGenerator, 40 done, eval #17/20 start
2025-05-27 17:40:18: BoTorchGenerator, 40 done, eval #18/20 start
2025-05-27 17:40:21: BoTorchGenerator, 40 done, eval #19/20 start
2025-05-27 17:40:24: BoTorchGenerator, 40 done, eval #20/20 start
2025-05-27 17:40:27: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:27: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:27: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:27: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:27: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:27: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:27: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:28: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:28: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:28: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:28: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:28: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:28: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:28: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:28: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:40:28: BoTorchGenerator, 40 done, starting new job
2025-05-27 17:41:00: BoTorchGenerator, 40 done, pending/unknown 5/2 = ∑7/20, started new job
2025-05-27 17:41:00: BoTorchGenerator, 40 done, pending/unknown 5/3 = ∑8/20, started new job
2025-05-27 17:41:01: BoTorchGenerator, 40 done, pending/unknown 5/4 = ∑9/20, started new job
2025-05-27 17:41:01: BoTorchGenerator, 40 done, pending/unknown 5/4 = ∑9/20, started new job
2025-05-27 17:41:01: BoTorchGenerator, 40 done, pending/unknown 5/6 = ∑11/20, started new job
2025-05-27 17:41:01: BoTorchGenerator, 40 done, pending/unknown 5/5 = ∑10/20, started new job
2025-05-27 17:41:02: BoTorchGenerator, 40 done, pending/unknown 5/7 = ∑12/20, started new job
2025-05-27 17:41:02: BoTorchGenerator, 40 done, pending/unknown 5/6 = ∑11/20, started new job
2025-05-27 17:41:02: BoTorchGenerator, 40 done, pending/unknown 5/9 = ∑14/20, started new job
2025-05-27 17:41:03: BoTorchGenerator, 40 done, pending/unknown 5/10 = ∑15/20, started new job
2025-05-27 17:41:03: BoTorchGenerator, 40 done, pending/unknown 5/11 = ∑16/20, started new job
2025-05-27 17:41:03: BoTorchGenerator, 40 done, pending/unknown 5/11 = ∑16/20, started new job
2025-05-27 17:41:04: BoTorchGenerator, 40 done, pending/unknown 5/11 = ∑16/20, started new job
2025-05-27 17:41:04: BoTorchGenerator, 40 done, pending/unknown 5/11 = ∑16/20, started new job
2025-05-27 17:41:05: BoTorchGenerator, 40 done, pending/unknown 5/11 = ∑16/20, started new job
2025-05-27 17:41:05: BoTorchGenerator, 40 done, pending 16 = ∑16/20, started new job
2025-05-27 17:41:37: BoTorchGenerator, 40 done, completed/running/pending 4/5/7 = ∑16/20, starting new job
2025-05-27 17:41:37: BoTorchGenerator, 40 done, completed/running/pending 4/5/7 = ∑16/20, starting new job
2025-05-27 17:41:37: BoTorchGenerator, 40 done, completed/running/pending 4/5/7 = ∑16/20, starting new job
2025-05-27 17:41:38: BoTorchGenerator, 40 done, completed/running/pending 4/5/7 = ∑16/20, starting new job
2025-05-27 17:41:49: BoTorchGenerator, 40 done, completed/running/unknown 9/7/4 = ∑20/20, started new job
2025-05-27 17:41:49: BoTorchGenerator, 40 done, completed/running/unknown 9/7/4 = ∑20/20, started new job
2025-05-27 17:41:49: BoTorchGenerator, 40 done, completed/running/unknown 9/7/4 = ∑20/20, started new job
2025-05-27 17:41:50: BoTorchGenerator, 40 done, completed/running/unknown 9/7/4 = ∑20/20, started new job
2025-05-27 17:42:02: BoTorchGenerator, 40 done, completed/running/pending 9/7/4 = ∑20/20, new result: 0.3052631578947368
2025-05-27 17:42:02: BoTorchGenerator, 40 done, completed/running/pending 9/7/4 = ∑20/20, new result: 0.3263157894736842
2025-05-27 17:42:02: BoTorchGenerator, 40 done, completed/running/pending 9/7/4 = ∑20/20, new result: 0.3631578947368421
2025-05-27 17:42:02: BoTorchGenerator, 40 done, completed/running/pending 9/7/4 = ∑20/20, new result: 0.2789473684210526
2025-05-27 17:42:02: BoTorchGenerator, 40 done, completed/running/pending 9/7/4 = ∑20/20, new result: 0.3631578947368421
2025-05-27 17:42:02: BoTorchGenerator, 40 done, completed/running/pending 9/7/4 = ∑20/20, new result: 0.2421052631578947
2025-05-27 17:42:02: BoTorchGenerator, 40 done, completed/running/pending 9/7/4 = ∑20/20, new result: 0.3631578947368421
2025-05-27 17:42:02: BoTorchGenerator, 40 done, completed/running/pending 9/7/4 = ∑20/20, new result: 0.3631578947368421
2025-05-27 17:42:03: BoTorchGenerator, 40 done, completed/running/pending 9/7/4 = ∑20/20, new result: 0.3631578947368421
2025-05-27 17:43:00: BoTorchGenerator, 49 done, completed 11 = ∑11/20, finishing jobs, finished 9 jobs
2025-05-27 17:43:06: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.3631578947368421
2025-05-27 17:43:06: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.3631578947368421
2025-05-27 17:43:06: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.2578947368421053
2025-05-27 17:43:06: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.3631578947368421
2025-05-27 17:43:06: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.21578947368421053
2025-05-27 17:43:06: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.3631578947368421
2025-05-27 17:43:06: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.3526315789473684
2025-05-27 17:43:06: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.2210526315789474
2025-05-27 17:43:06: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.368421052631579
2025-05-27 17:43:07: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.3157894736842105
2025-05-27 17:43:07: BoTorchGenerator, 49 done, completed 11 = ∑11/20, new result: 0.41052631578947374
</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>20 </td></tr><tr><td> max_eval</td><td>2000 </td></tr><tr><td> run_program</td><td>[['YmFzaCAvZGF0YS9ob3JzZS93cy9wd2lua2xlci1vb3B0L3J1bi5zaCAlKGVwb2NocykgJShscikgJShic3opICUoZGEpICUoZGIp']] </td></tr><tr><td> experiment_name</td><td>vergl_botorch_dl_ext </td></tr><tr><td> mem_gb</td><td>5 </td></tr><tr><td> parameter</td><td>[['epochs', 'range', '10', '350', 'int', 'false'], ['lr', 'range', '0.001', '0.05', 'float', 'false'], ['bsz', 'range', '4', '32', 'int', 'false'], </td></tr><tr><td></td><td>['da', 'range', '10', '200', 'int', 'false'], ['db', 'range', '10', '250', 'int', 'false']] </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> verbose_tqdm</td><td>False </td></tr><tr><td> model</td><td>BOTORCH_MODULAR </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>aHR0cHM6Ly9pbWFnZXNlZy5zY2Fkcy5kZS9vbW5pYXgvZ3VpP3BhcnRpdGlvbj1iYXJuYXJkJmV4cGVyaW1lbnRfbmFtZT12ZXJnbF9ib3RvcmNoX2RsX2V4dCZyZXNlcnZhdGlvbj0mYWNjb3VudD0… </td></tr><tr><td> root_venv_dir</td><td>/home/pwinkler </td></tr><tr><td> exclude</td><td>None </td></tr><tr><td> main_process_gb</td><td>8 </td></tr><tr><td> max_nr_of_zero_results</td><td>50 </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> disable_previous_job_constraint</td><td>False </td></tr><tr><td> workdir</td><td></td></tr><tr><td> occ_type</td><td>euclid </td></tr><tr><td> result_names</td><td>['RESULT=min', 'TIME=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> max_attempts_for_generation</td><td>20 </td></tr><tr><td> external_generator</td><td>None </td></tr><tr><td> username</td><td>None </td></tr><tr><td> max_failed_jobs</td><td>0 </td></tr><tr><td> num_cpus_main_job</td><td>None </td></tr><tr><td> calculate_pareto_front_of_job</td><td>[] </td></tr><tr><td> show_generate_time_table</td><td>False </td></tr><tr><td> force_choice_for_ranges</td><td>False </td></tr><tr><td> dont_warm_start_refitting</td><td>False </td></tr><tr><td> refit_on_cv</td><td>False </td></tr><tr><td> fit_out_of_design</td><td>False </td></tr><tr><td> fit_abandoned</td><td>False </td></tr><tr><td> dont_jit_compile</td><td>False </td></tr><tr><td> num_restarts</td><td>20 </td></tr><tr><td> raw_samples</td><td>1024 </td></tr><tr><td> no_transform_inputs</td><td>False </td></tr><tr><td> no_normalize_y</td><td>False </td></tr><tr><td> batch_limit</td><td>32 </td></tr><tr><td> num_parallel_jobs</td><td>20 </td></tr><tr><td> worker_timeout</td><td>30 </td></tr><tr><td> slurm_use_srun</td><td>False </td></tr><tr><td> time</td><td>600 </td></tr><tr><td> partition</td><td>barnard </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>0 </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> flame_graph</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>0 </td></tr><tr><td> show_generation_and_submission_sixel</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">1748356966.6726484,20,0,0
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1748358103.8129966,20,0,0
1748358106.3040528,20,0,0
1748358108.9711285,20,0,0
1748358111.4661222,20,0,0
1748358115.3497677,20,0,0
1748358118.0196748,20,0,0
1748358120.7268362,20,0,0
1748358126.6946342,20,0,0
1748358129.6539707,20,0,0
1748358132.0887868,20,0,0
1748358135.249585,20,0,0
1748358137.8078072,20,0,0
1748358140.6299226,20,0,0
1748358147.9402103,20,0,0
1748358148.0700765,20,0,0
1748358148.09197,20,0,0
1748358148.1070678,20,0,0
1748358148.1440554,20,0,0
1748358148.153419,20,0,0
1748358148.1732063,20,0,0
1748358148.2346015,20,0,0
1748358148.2707617,20,0,0
1748358148.2898726,20,0,0
1748358148.3550138,20,0,0
1748358148.356162,20,0,0
1748358148.433052,20,0,0
1748358148.444341,20,0,0
1748358148.5075252,20,0,0
1748358149.1975007,20,0,0
1748358173.2607048,20,4,20
1748358173.6900902,20,5,25
1748358174.1787653,20,6,30
1748358174.3443615,20,7,35
1748358175.2886784,20,12,60
1748358176.2081385,20,15,75
1748358176.3921976,20,16,80
1748358176.439141,20,16,80
1748358176.7576609,20,16,80
1748358176.8107135,20,16,80
1748358177.095791,20,16,80
1748358177.458485,20,16,80
1748358177.601734,20,16,80
1748358177.6649034,20,16,80
1748358178.4955902,20,16,80
1748358178.8171775,20,16,80
1748358199.4039972,20,16,80
1748358201.6190214,20,16,80
1748358201.6877441,20,16,80
1748358201.7472508,20,16,80
1748358209.334076,20,17,85
1748358211.7021835,20,20,100
1748358211.9120743,20,20,100
1748358212.209769,20,20,100
1748358221.5838718,20,20,100
1748358221.7801178,20,20,100
1748358222.0392745,20,20,100
1748358230.0642061,20,20,100
1748358238.0079477,20,20,100
1748358246.931014,20,20,100
1748358256.165433,20,20,100
1748358265.853411,20,20,100
1748358275.2870538,20,20,100
1748358284.1635482,20,20,100
1748358293.1420274,20,20,100
1748358302.7417185,20,20,100
1748358311.6855829,20,20,100
1748358320.2589996,20,20,100
1748358328.4573436,20,20,100
1748358337.9318511,20,20,100
1748358346.8304965,20,20,100
1748358356.022006,20,20,100
1748358366.1316535,20,20,100
1748358374.9783914,20,20,100
1748358383.188978,20,20,100
1748358391.5276823,20,20,100
1748358399.9755025,20,20,100
1748358408.6829803,20,20,100
1748358416.9531114,20,20,100
1748358425.584864,20,20,100
1748358434.40431,20,20,100
1748358443.0283005,20,20,100
1748358453.15889,20,20,100
1748358464.4216263,20,20,100
1748358473.5997188,20,20,100
1748358482.7774644,20,20,100
1748358492.4309385,20,20,100
1748358502.9839644,20,20,100
1748358519.6935282,20,20,100
1748358528.8345916,20,20,100
1748358544.2111375,20,20,100
1748358553.7429204,20,20,100
1748358564.0005763,20,20,100
1748358576.1062472,20,20,100
1748358584.6629214,20,20,100
1748358593.5843048,20,20,100
1748358601.8675356,20,20,100
1748358609.9162185,20,20,100
1748358617.9382284,20,20,100
1748358628.1593544,20,20,100
1748358637.5552847,20,20,100
1748358646.4629984,20,20,100
1748358654.482589,20,20,100
1748358662.7329438,20,20,100
1748358671.168662,20,20,100
1748358679.5765405,20,20,100
1748358688.7894282,20,20,100
1748358696.9990716,20,20,100
1748358705.662199,20,20,100
1748358714.3413029,20,20,100
1748358725.899087,20,20,100
1748358735.2748406,20,20,100
1748358744.6149578,20,20,100
1748358753.6225774,20,20,100
1748358761.829241,20,20,100
1748358771.7574036,20,20,100
1748358780.5996273,20,20,100
1748358789.6638744,20,20,100
1748358798.1793513,20,20,100
1748358807.0360146,20,20,100
1748358816.1343489,20,20,100
1748358824.9986765,20,20,100
1748358833.2137961,20,20,100
1748358842.4571831,20,20,100
1748358852.0631673,20,20,100
1748358860.8972404,20,20,100
1748358869.3218544,20,20,100
1748358879.6019578,20,20,100
1748358890.8050241,20,20,100
1748358899.3342323,20,20,100
1748358907.597217,20,20,100
1748358915.6602178,20,20,100
1748358924.1167765,20,20,100
1748358933.847439,20,20,100
1748358944.2192135,20,20,100
1748358952.97199,20,20,100
1748358963.6555462,20,6,30
1748358963.6819346,20,6,30
1748358963.6940143,20,6,30
1748358963.7090492,20,6,30
1748358963.7681708,20,6,30
1748358963.7951856,20,6,30
1748358963.8901262,20,5,25
1748358963.9457161,20,6,30
1748358963.9667234,20,5,25
1748358963.9879644,20,5,25
1748358964.0307484,20,5,25
1748358964.0971029,20,5,25
1748358964.466811,20,5,25
1748358990.0028384,20,4,20
1748358990.0039568,20,4,20
1748358990.0049908,20,4,20
1748358990.0724924,20,4,20
1748358990.1419215,20,4,20
1748358990.3240297,20,4,20
1748358990.4191647,20,4,20
1748358990.4322848,20,4,20
1748358990.549609,20,4,20
1748358990.6122196,20,4,20
1748358990.6241136,20,4,20
1748358990.7117357,20,4,20
1748358990.9984004,20,4,20
1748359034.020973,20,0,0
1748359038.215241,20,0,0
1748359047.406983,20,0,0
1748359047.5022447,20,0,0
1748359047.5182955,20,0,0
1748359047.6079636,20,0,0
1748359047.6569731,20,0,0
1748359047.6668117,20,0,0
1748359047.76998,20,0,0
1748359061.7682323,20,0,0
1748359061.790331,20,0,0
1748359062.0944026,20,0,0
1748359062.203484,20,0,0
1748359062.2680812,20,0,0
1748359062.43448,20,0,0
1748359062.691613,20,0,0
1748359087.4155622,20,0,0
1748360300.5134423,20,0,0
1748360303.5446973,20,0,0
1748360306.4593616,20,0,0
1748360309.46232,20,0,0
1748360312.4787133,20,0,0
1748360315.5178113,20,0,0
1748360319.065963,20,0,0
1748360322.126327,20,0,0
1748360325.4195223,20,0,0
1748360328.341454,20,0,0
1748360331.2558537,20,0,0
1748360334.298825,20,0,0
1748360337.7975657,20,0,0
1748360340.7752316,20,0,0
1748360344.3634536,20,0,0
1748360347.4233983,20,0,0
1748360350.494335,20,0,0
1748360354.0989053,20,0,0
1748360357.746548,20,0,0
1748360360.7676518,20,0,0
1748360363.697719,20,0,0
1748360366.468324,20,0,0
1748360369.2751784,20,0,0
1748360372.0819817,20,0,0
1748360374.9107032,20,0,0
1748360378.3775973,20,0,0
1748360381.7717893,20,0,0
1748360384.6023796,20,0,0
1748360387.385579,20,0,0
1748360390.157342,20,0,0
1748360393.5923054,20,0,0
1748360396.4397452,20,0,0
1748360399.3083136,20,0,0
1748360402.399439,20,0,0
1748360405.5324008,20,0,0
1748360408.3716998,20,0,0
1748360412.0502255,20,0,0
1748360415.547238,20,0,0
1748360418.3544018,20,0,0
1748360421.1873372,20,0,0
1748360424.0511029,20,0,0
1748360427.5526338,20,0,0
1748360427.7930043,20,0,0
1748360427.8501186,20,0,0
1748360427.8510284,20,0,0
1748360427.8519363,20,0,0
1748360427.9363635,20,0,0
1748360427.9724607,20,0,0
1748360428.0567968,20,0,0
1748360428.0744264,20,0,0
1748360428.0753865,20,0,0
1748360428.1380956,20,0,0
1748360428.1516283,20,0,0
1748360428.1803699,20,0,0
1748360428.188232,20,0,0
1748360428.2331934,20,0,0
1748360428.6183364,20,0,0
1748360460.4301999,20,7,35
1748360460.6935654,20,8,40
1748360460.9189546,20,9,45
1748360460.9737256,20,9,45
1748360461.3528843,20,11,55
1748360461.4932053,20,11,55
1748360461.8180418,20,12,60
1748360461.90424,20,13,65
1748360462.6387796,20,16,80
1748360462.7884007,20,16,80
1748360463.0924559,20,16,80
1748360463.3779924,20,16,80
1748360463.685811,20,16,80
1748360463.9700046,20,16,80
1748360464.7885885,20,16,80
1748360464.8229833,20,16,80
1748360497.400174,20,12,60
1748360497.469141,20,12,60
1748360497.6375666,20,12,60
1748360498.4126174,20,12,60
1748360509.0261977,20,11,55
1748360509.213358,20,11,55
1748360509.5386295,20,11,55
1748360509.714235,20,11,55
1748360521.6860037,20,11,55
1748360521.7848651,20,11,55
1748360521.802658,20,11,55
1748360521.8626149,20,11,55
1748360521.9044452,20,11,55
1748360521.9459422,20,11,55
1748360521.9792328,20,11,55
1748360522.590861,20,11,55
1748360522.7038016,20,10,50
1748360543.1817753,20,4,20
1748360543.2408087,20,4,20
1748360543.3459153,20,4,20
1748360543.43359,20,4,20
1748360543.5239496,20,4,20
1748360543.7850547,20,4,20
1748360543.8757734,20,4,20
1748360544.351163,20,4,20
1748360544.879228,20,4,20
1748360580.6974502,20,0,0
1748360586.048593,20,0,0
1748360586.1361513,20,0,0
1748360586.1512246,20,0,0
1748360586.2358084,20,0,0
1748360586.2877529,20,0,0
1748360586.3375995,20,0,0
1748360586.4224455,20,0,0
1748360586.5890832,20,0,0
1748360586.720478,20,0,0
1748360587.3448777,20,0,0
1748360587.533312,20,0,0
1748360613.4686933,20,0,0
1748360613.530359,20,0,0
1748360613.7949414,20,0,0
1748360613.847923,20,0,0
1748360613.9052052,20,0,0
1748360614.0229099,20,0,0
1748360614.2802162,20,0,0
1748360614.5138004,20,0,0
1748360614.5799952,20,0,0
1748360614.6651204,20,0,0
1748360614.8185813,20,0,0
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download »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
1748356962,637.5859375,21.6
1748356966,637.84375,21.6
1748356970,638.16015625,21.6
1748356970,638.16015625,23.1
1748356970,638.41796875,21.9
1748356970,638.41796875,21.7
1748356970,638.41796875,33.3
1748357165,658.08984375,55.6
1748357165,658.08984375,55.6
1748357165,658.08984375,57.1
1748357165,658.08984375,50.0
1748357166,658.08984375,54.5
1748357166,658.08984375,20.2
1748357166,658.08984375,20.3
1748357166,658.08984375,33.3
1748357166,658.08984375,23.0
1748357166,658.08984375,32.3
1748357203,660.0078125,22.4
1748357203,660.0078125,7.1
1748357203,660.0078125,22.4
1748357203,660.0078125,26.3
1748357203,660.0078125,22.4
1748357203,660.0078125,17.2
1748357203,660.0078125,22.4
1748357203,660.26171875,22.4
1748357203,660.26171875,22.5
1748357203,660.26171875,22.4
1748357203,660.26171875,22.7
1748357204,660.26171875,57.1
1748357204,660.26171875,22.4
1748357204,660.26171875,16.0
1748357204,660.26171875,22.4
1748357204,660.26171875,25.0
1748357231,663.03515625,22.1
1748357231,663.03515625,28.6
1748357232,663.03515625,21.8
1748357232,663.03515625,33.3
1748357242,663.03515625,22.2
1748357242,663.03515625,22.9
1748358221,700.68359375,22.3
1748358221,700.68359375,23.5
1748358221,700.68359375,21.7
1748358221,700.68359375,31.3
1748358990,699.796875,50.0
1748358990,699.796875,23.8
1748358990,699.796875,23.7
1748358990,699.796875,23.1
1748358990,699.796875,27.6
1748358990,699.796875,21.7
1748358990,699.796875,22.0
1748358990,699.796875,25.0
1748358990,699.796875,55.6
1748358990,699.796875,21.8
1748358990,699.796875,22.6
1748358990,699.796875,26.7
1748358990,699.796875,22.0
1748358990,699.796875,35.3
1748358990,699.796875,26.7
1748358990,699.796875,22.2
1748358991,699.796875,26.9
1748359061,706.7265625,22.3
1748359061,706.7265625,16.1
1748359061,706.7265625,22.3
1748359061,706.7265625,16.0
1748359062,706.7265625,22.3
1748359062,706.7265625,23.7
1748359062,706.7265625,22.3
1748359062,706.7265625,20.7
1748359062,706.7265625,22.3
1748359062,706.7265625,29.4
1748359062,706.7265625,22.3
1748359062,706.7265625,30.0
1748359062,706.7265625,22.3
1748359062,706.7265625,31.3
1748360543,715.82421875,21.7
1748360543,715.82421875,21.4
1748360543,715.82421875,22.8
1748360543,715.82421875,21.7
1748360543,715.82421875,22.5
1748360543,715.82421875,21.7
1748360543,715.82421875,20.5
1748360543,715.82421875,21.7
1748360543,715.82421875,21.6
1748360543,715.82421875,21.7
1748360543,715.82421875,15.4
1748360543,715.82421875,21.7
1748360544,715.82421875,21.7
1748360544,715.82421875,20.0
1748360544,715.82421875,19.1
1748360613,716.45703125,21.7
1748360613,716.45703125,21.2
1748360613,716.45703125,21.5
1748360613,716.45703125,20.0
1748360613,716.45703125,21.7
1748360613,716.45703125,21.6
1748360613,716.45703125,21.5
1748360613,716.45703125,21.3
1748360613,716.45703125,21.7
1748360613,716.45703125,23.1
1748360614,716.45703125,21.5
1748360614,716.45703125,20.8
1748360614,716.45703125,21.5
1748360614,716.45703125,21.7
1748360614,716.45703125,21.7
1748360614,716.45703125,21.8
1748360614,716.45703125,21.5
1748360614,716.45703125,21.0
1748360614,716.45703125,21.5
1748360614,716.45703125,21.4
1748360614,716.45703125,21.5
1748360614,716.45703125,21.3
</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
Single Logs
