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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 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath 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}
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width: 17px;
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}
: :-webkit-scrollbar-button: horizontal: end{
width: 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='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
}
.status-bar{
margin: 0 3px;
box-shadow: inset 0 1px 2px grey;
padding: 2px 1px;
gap: 0
}
.status-bar-field{
-webkit-font-smoothing: antialiased;
box-shadow: none;
padding: 1px 2px;
border-right: 1px solid rgba(208,206,191,.75);
border-left: 1px solid hsla(0,0%,100%,.75)
}
.status-bar-field: first-of-type{
border-left: none
}
.status-bar-field: last-of-type{
border-right: none
}
button{
-webkit-font-smoothing: antialiased;
box-sizing: border-box;
border: 1px solid #003c74;
background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
box-shadow: none;
border-radius: 3px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: none;
background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
}
button: not(: disabled): hover{
box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
}
button.focused,button: focus{
box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
}
button: :-moz-focus-inner{
border: 0
}
input,label,option,select,textarea{
-webkit-font-smoothing: antialiased
}
input[type=radio]{
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
margin: 0;
background: 0;
position: fixed;
opacity: 0;
border: none
}
input[type=radio]+label{
line-height: 16px
}
input[type=radio]+label: before{
background: linear-gradient(135deg,#dcdcd7,#fff);
border-radius: 50%;
border: 1px solid #1d5281
}
input[type=radio]: not([disabled]): not(: active)+label: hover: before{
box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
}
input[type=radio]: active+label: before{
background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
}
input[type=radio]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
}
input[type=radio]: focus+label{
outline: 1px dotted #000
}
input[type=radio][disabled]+label: before{
border: 1px solid #cac8bb;
background: #fff
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
}
input[type=email],input[type=password],textarea: :selection{
background: #2267cb;
color: #fff
}
input[type=range]: :-webkit-slider-thumb{
height: 21px;
width: 11px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(-8px)
}
input[type=range]: :-moz-range-thumb{
height: 21px;
width: 11px;
border: 0;
border-radius: 0;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(2px)
}
input[type=range]: :-webkit-slider-runnable-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range]: :-moz-range-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
fieldset{
box-shadow: none;
background: #fff;
border: 1px solid #d0d0bf;
border-radius: 4px;
padding-top: 10px
}
legend{
background: transparent;
color: #0046d5
}
.field-row{
display: flex;
align-items: center
}
.field-row>*+*{
margin-left: 6px
}
[class^=field-row]+[class^=field-row]{
margin-top: 6px
}
.field-row-stacked{
display: flex;
flex-direction: column
}
.field-row-stacked *+*{
margin-top: 6px
}
menu[role=tablist] button{
background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
margin-left: -1px;
margin-right: 2px;
border-radius: 0;
border-color: #91a7b4;
border-top-right-radius: 3px;
border-top-left-radius: 3px;
padding: 0 12px 3px
}
menu[role=tablist] button: hover{
box-shadow: unset;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c
}
menu[role=tablist] button[aria-selected=true]{
border-color: #919b9c;
margin-right: -1px;
border-bottom: 1px solid transparent;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c
}
menu[role=tablist] button[aria-selected=true]: first-of-type: before{
content: "";
display: block;
position: absolute;
z-index: -1;
top: 100%;
left: -1px;
height: 2px;
width: 0;
border-left: 1px solid #919b9c
}
[role=tabpanel]{
box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
}
ul.tree-view{
-webkit-font-smoothing: auto;
border: 1px solid #7f9db9;
padding: 2px 5px
}
@keyframes sliding{
0%{
transform: translateX(-30px)
}
to{
transform: translateX(100%)
}
}
progress{
box-sizing: border-box;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
height: 14px;
border: 1px solid #686868;
border-radius: 4px;
padding: 1px 2px 1px 0;
overflow: hidden;
background-color: #fff;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
-moz-box-shadow: inset 0 0 1px 0 #686868
}
progress,progress: not([value]){
box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]){
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
height: 14px
}
progress[value]: :-webkit-progress-bar{
background-color: transparent
}
progress[value]: :-webkit-progress-value{
border-radius: 2px;
background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress[value]: :-moz-progress-bar{
border-radius: 2px;
background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): :-webkit-progress-bar{
width: 100%;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
animation: sliding 2s linear 0s infinite
}
progress: not([value]): :-webkit-progress-bar: not([value]){
animation: sliding 2s linear 0s infinite;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]){
position: relative
}
progress: not([value]): before{
box-sizing: border-box;
content: "";
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background-color: #fff;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
-moz-box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): before,progress: not([value]): before: not([value]){
box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): before: not([value]){
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): after{
box-sizing: border-box;
content: "";
position: absolute;
top: 1px;
left: 2px;
width: 100%;
height: calc(100% - 2px);
padding: 1px 2px;
border-radius: 2px;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): after,progress: not([value]): after: not([value]){
animation: sliding 2s linear 0s infinite
}
progress: not([value]): after: not([value]){
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): :-moz-progress-bar{
width: 100%;
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<body>
<script>
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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"]
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40
],
[
1741350924,
719.00390625,
48.8
],
[
1741352516,
779.27734375,
41.4
],
[
1741352516,
779.27734375,
40.7
],
[
1741352654,
779.6015625,
41.1
],
[
1741352654,
779.6015625,
32.4
]
];
var tab_main_worker_cpu_ram_headers_json = [
"timestamp",
"ram_usage_mb",
"cpu_usage_percent"
];
"use strict";
function add_default_layout_data (layout, 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) &&
!col.startsWith("OO_Info") &&
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) &&
!col.startsWith("OO_Info") &&
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) &&
!col.startsWith("OO_Info") &&
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;
}
if (!col.startsWith("OO_Info")) {
return;
}
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) &&
!col.startsWith("OO_Info") &&
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) &&
!col.startsWith("OO_Info") &&
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();
}
function plotTimelineFromGlobals() {
if (
typeof tab_results_headers_json === "undefined" ||
typeof tab_results_csv_json === "undefined" ||
!Array.isArray(tab_results_headers_json) ||
!Array.isArray(tab_results_csv_json)
) {
console.warn("Global variables 'tab_results_headers_json' or 'tab_results_csv_json' missing or invalid.");
return null;
}
const headers = tab_results_headers_json;
const data = tab_results_csv_json;
const col = name => headers.indexOf(name);
const ix_trial_index = col("trial_index");
const ix_start_time = col("start_time");
const ix_end_time = col("end_time");
const ix_status = col("trial_status");
if ([ix_trial_index, ix_start_time, ix_end_time, ix_status].some(ix => ix === -1)) {
console.warn("One or more needed columns missing");
return null;
}
const traces = [];
// Add dummy traces for legend
traces.push({
type: "scatter",
mode: "lines",
x: [null, null],
y: [null, null],
line: { color: "green", width: 4 },
name: "COMPLETED",
showlegend: true,
hoverinfo: "none"
});
traces.push({
type: "scatter",
mode: "lines",
x: [null, null],
y: [null, null],
line: { color: "yellow", width: 4 },
name: "RUNNING",
showlegend: true,
hoverinfo: "none"
});
traces.push({
type: "scatter",
mode: "lines",
x: [null, null],
y: [null, null],
line: { color: "red", width: 4 },
name: "FAILED/OTHER",
showlegend: true,
hoverinfo: "none"
});
for (const row of data) {
const trial_index = row[ix_trial_index];
const start = row[ix_start_time];
const end = row[ix_end_time];
const status = row[ix_status];
if (
trial_index === "" || start === "" || end === "" ||
isNaN(start) || isNaN(end)
) continue;
let color = "red"; // default
if (status === "COMPLETED") color = "green";
else if (status === "RUNNING") color = "yellow";
traces.push({
type: "scatter",
mode: "lines",
x: [new Date(start * 1000), new Date(end * 1000)],
y: [trial_index, trial_index],
line: { color: color, width: 4 },
name: `Trial ${trial_index} (${status})`,
showlegend: false,
hoverinfo: "x+y+name"
});
}
if (traces.length <= 3) { // only dummy traces added
console.warn("No valid data for plotting found.");
return null;
}
const layout = {
title: "Trial Timeline",
xaxis: {
title: "Time",
type: "date"
},
yaxis: {
title: "Trial Index",
autorange: "reversed"
},
margin: { t: 50 }
};
Plotly.newPlot('plot_timeline', traces, add_default_layout_data(layout));
return true;
}
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();
colorize_table_entries();
});
</script>
<h1> Overview</h1>
<h2>Best RUNTIME, min (total: 199): </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> generation_node</th><th>ACCURACY</th><th>recent_samples_size</th><th>n_samples</th><th>const</th><th>max_depth</th><th>threshold</th><th>RUNTIME </th></tr></thead><tbody><tr><td> GenerationStep_1</td><td>0.8354849387619994</td><td>4000</td><td>120</td><td>0.9231833561729487</td><td>2</td><td>0.8</td><td>38.994250535964966 </td></tr></tbody></table><h2>Experiment parameters: </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>range</td><td>10</td><td>4000</td><td>int</td><td>No </td></tr><tr><td> n_samples</td><td>range</td><td>100</td><td>1000</td><td>int</td><td>No </td></tr><tr><td> const</td><td>range</td><td>0.1</td><td>1</td><td>float</td><td>No </td></tr><tr><td> max_depth</td><td>range</td><td>2</td><td>4</td><td>int</td><td>No </td></tr><tr><td> threshold</td><td>range</td><td>0.2</td><td>0.8</td><td>float</td><td>No </td></tr></tbody></table><h2>Number of evaluations</h2>
<table>
<tbody>
<tr>
<th>Failed</th>
<th>Succeeded</th>
<th>Running</th>
<th>Total</th>
</tr>
<tr>
<td>0</td>
<td>199</td>
<td>2</td>
<td>201</td>
</tr>
</tbody>
</table>
<h2>Result names and types</h2>
<table>
<tr><th>name</th><th>min/max</th></tr>
<tr>
<td>ACCURACY</td>
<td>max</td>
</tr>
<tr>
<td>RUNTIME</td>
<td>min</td>
</tr>
</table>
<h1> Pareto-Fronts-Estimation</h1>
<div class='caveat warning'>The old algorithm for calculating the pareto-front was buggy. Please re-calculate them using <tt>bash omniopt --calculate_pareto_front_of_job runs/path_to_job/run_nr --live_share</tt>.</div><div id='pareto_front_graphs_container'></div>
<pre> Pareto Frontier Results for RUNTIME/ACCURACY:
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ recent_samples_size ┃ n_samples ┃ const ┃ max_depth ┃ threshold ┃ ACCURACY ┃ RUNTIME ┃
┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 3706 │ 178 │ 1.0 │ 3 │ 0.2 │ 0.844 ± 0.001 │ 640.932 ± 36.149 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2875 │ 178 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 313.527 ± 14.893 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2810 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.306 ± 14.769 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2795 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.302 ± 14.765 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2901 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.327 ± 14.793 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3401 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.449 ± 14.967 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2186 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.165 ± 14.663 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3507 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.476 ± 15.012 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2527 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.240 ± 14.708 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 991 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 311.926 ± 14.762 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1166 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 311.958 ± 14.723 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3382 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.444 ± 14.959 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3796 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.550 ± 15.150 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3833 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.560 ± 15.169 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2353 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.201 ± 14.681 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2043 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.134 ± 14.654 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 700 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 311.874 ± 14.846 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1190 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 311.963 ± 14.718 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3547 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.486 ± 15.030 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2584 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.253 ± 14.718 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2210 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.170 ± 14.665 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2430 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.219 ± 14.692 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1545 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.032 ± 14.667 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2431 │ 177 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 312.219 ± 14.692 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3908 │ 176 │ 1.0 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 311.356 ± 15.107 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2329 │ 176 │ 0.9950411465081688 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 310.371 ± 14.504 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2549 │ 176 │ 0.9658990347943414 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 306.982 ± 14.172 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1082 │ 176 │ 0.9388362386223668 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 303.578 ± 13.914 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3827 │ 176 │ 0.9149905623886695 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 301.561 ± 14.110 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3921 │ 176 │ 0.8927131713946498 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 299.187 ± 13.971 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2033 │ 176 │ 0.8728792661347055 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 296.644 ± 13.235 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2649 │ 176 │ 0.8536119866384766 │ 2 │ 0.2 │ 0.844 ± 0.001 │ 294.822 ± 13.173 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 394 │ 989 │ 0.6115698579712511 │ 2 │ 0.4878436451123365 │ 0.842 ± 0.001 │ 138.138 ± 8.067 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1894 │ 176 │ 0.8188093383012858 │ 2 │ 0.2 │ 0.843 ± 0.001 │ 291.254 ± 12.873 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 857 │ 176 │ 0.8044129985564769 │ 2 │ 0.2 │ 0.843 ± 0.001 │ 289.707 ± 12.967 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 388 │ 176 │ 0.788693113518471 │ 2 │ 0.2 │ 0.843 ± 0.001 │ 288.197 ± 13.068 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 525 │ 992 │ 0.6028971795169998 │ 2 │ 0.4885766775271519 │ 0.842 ± 0.001 │ 137.226 ± 8.010 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2489 │ 176 │ 0.771923892498424 │ 2 │ 0.2047281956860707 │ 0.843 ± 0.001 │ 285.616 ± 12.481 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 782 │ 176 │ 0.7508531604986967 │ 2 │ 0.205785588162709 │ 0.843 ± 0.001 │ 283.144 ± 12.495 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1002 │ 175 │ 0.7396712101922637 │ 2 │ 0.20844066116022805 │ 0.843 ± 0.001 │ 280.327 ± 12.200 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3889 │ 175 │ 0.7220864156480155 │ 2 │ 0.21354558365477644 │ 0.843 ± 0.001 │ 277.984 ± 12.425 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 567 │ 992 │ 0.5966257603085391 │ 2 │ 0.4872920174124985 │ 0.842 ± 0.001 │ 137.290 ± 7.992 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 46 │ 993 │ 0.596969099936553 │ 2 │ 0.48740747762777165 │ 0.842 ± 0.001 │ 136.130 ± 8.350 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 288 │ 993 │ 0.5952322341041012 │ 2 │ 0.48715337452703134 │ 0.842 ± 0.001 │ 136.492 ± 8.179 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 362 │ 991 │ 0.6101667411105683 │ 2 │ 0.48406139413776095 │ 0.842 ± 0.001 │ 137.330 ± 8.087 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 752 │ 993 │ 0.5911829091386837 │ 2 │ 0.4866261172603509 │ 0.842 ± 0.001 │ 137.200 ± 7.912 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 31 │ 994 │ 0.5952331585924189 │ 2 │ 0.4870146788108054 │ 0.842 ± 0.001 │ 135.735 ± 8.381 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 150 │ 994 │ 0.5892073302148011 │ 2 │ 0.4887840674284385 │ 0.842 ± 0.001 │ 135.920 ± 8.300 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 897 │ 993 │ 0.5955447916926627 │ 2 │ 0.48437580341730074 │ 0.842 ± 0.001 │ 137.415 ± 7.838 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 154 │ 994 │ 0.5914854442512706 │ 2 │ 0.48727813052550606 │ 0.842 ± 0.001 │ 135.921 ± 8.294 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 613 │ 997 │ 0.577402484132848 │ 2 │ 0.4847598437908015 │ 0.842 ± 0.001 │ 135.492 ± 8.105 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 519 │ 994 │ 0.5913855522822052 │ 2 │ 0.48518243815302253 │ 0.842 ± 0.001 │ 136.464 ± 8.054 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 342 │ 995 │ 0.5848941896065746 │ 2 │ 0.48707889027673895 │ 0.842 ± 0.001 │ 135.832 ± 8.195 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 217 │ 995 │ 0.5862388895471341 │ 2 │ 0.48704924078795914 │ 0.842 ± 0.001 │ 135.644 ± 8.278 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 999 │ 0.5894268460891342 │ 2 │ 0.48687280207860456 │ 0.842 ± 0.001 │ 133.867 ± 8.591 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 997 │ 0.5835001175728058 │ 2 │ 0.4861328298174147 │ 0.842 ± 0.001 │ 134.595 ± 8.496 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 353 │ 996 │ 0.5798013827999305 │ 2 │ 0.4870261341204427 │ 0.842 ± 0.001 │ 135.477 ± 8.222 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 39 │ 995 │ 0.595435908728694 │ 2 │ 0.4869311816566706 │ 0.842 ± 0.001 │ 135.376 ± 8.399 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 884 │ 997 │ 0.570529165546852 │ 2 │ 0.48608859316714736 │ 0.842 ± 0.001 │ 135.911 ± 7.977 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 501 │ 997 │ 0.5731122411823154 │ 2 │ 0.487029777396165 │ 0.842 ± 0.001 │ 135.329 ± 8.172 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 118 │ 997 │ 0.5763316175963424 │ 2 │ 0.4875108197258144 │ 0.842 ± 0.001 │ 134.758 ± 8.421 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 249 │ 998 │ 0.5666195694319581 │ 2 │ 0.4866435671114861 │ 0.842 ± 0.001 │ 134.582 ± 8.376 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 170 │ 998 │ 0.5700611615450379 │ 2 │ 0.4879165434111901 │ 0.842 ± 0.001 │ 134.467 ± 8.431 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 998 │ 0.5715064678765227 │ 2 │ 0.4880648755644991 │ 0.842 ± 0.001 │ 134.232 ± 8.547 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 998 │ 0.5717772175718588 │ 2 │ 0.48786531595867316 │ 0.842 ± 0.001 │ 134.231 ± 8.547 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 103 │ 999 │ 0.5689451454426581 │ 2 │ 0.48765178878895526 │ 0.842 ± 0.001 │ 133.998 ± 8.530 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 89 │ 999 │ 0.5657814092398229 │ 2 │ 0.48787630442533064 │ 0.842 ± 0.001 │ 133.978 ± 8.540 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 115 │ 999 │ 0.5651097309685114 │ 2 │ 0.4881317457217155 │ 0.842 ± 0.001 │ 134.017 ± 8.522 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 999 │ 0.5617891904544235 │ 2 │ 0.48783216911033855 │ 0.842 ± 0.001 │ 133.864 ± 8.598 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 997 │ 0.5909862602986541 │ 2 │ 0.48913911018387274 │ 0.842 ± 0.001 │ 134.603 ± 8.497 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5599976644248807 │ 2 │ 0.48883343015320524 │ 0.842 ± 0.001 │ 133.497 ± 8.658 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5601634250706341 │ 2 │ 0.4886910866154446 │ 0.842 ± 0.001 │ 133.496 ± 8.658 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5603043032556646 │ 2 │ 0.4885732406241143 │ 0.842 ± 0.001 │ 133.496 ± 8.658 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5604289296452591 │ 2 │ 0.4884595440086995 │ 0.842 ± 0.001 │ 133.496 ± 8.657 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 92 │ 1000 │ 0.5599391914258853 │ 2 │ 0.4881761757217786 │ 0.842 ± 0.001 │ 133.615 ± 8.597 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5607564449007454 │ 2 │ 0.4881939421164412 │ 0.842 ± 0.001 │ 133.495 ± 8.657 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 238 │ 1000 │ 0.5591521057464988 │ 2 │ 0.4875952681474991 │ 0.842 ± 0.001 │ 133.828 ± 8.495 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5610459378259044 │ 2 │ 0.48794175714113425 │ 0.842 ± 0.001 │ 133.495 ± 8.657 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 344 │ 1000 │ 0.5586231259307989 │ 2 │ 0.4871160437072633 │ 0.842 ± 0.001 │ 133.984 ± 8.426 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 53 │ 1000 │ 0.5610184927792893 │ 2 │ 0.4875901206102624 │ 0.842 ± 0.001 │ 133.557 ± 8.625 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5614936009160394 │ 2 │ 0.48755256450809 │ 0.842 ± 0.001 │ 133.494 ± 8.656 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5616422630195825 │ 2 │ 0.4874220659598833 │ 0.842 ± 0.001 │ 133.494 ± 8.656 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 84 │ 1000 │ 0.5612068303061452 │ 2 │ 0.48714047181931786 │ 0.842 ± 0.001 │ 133.601 ± 8.602 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 173 │ 1000 │ 0.5606522177655093 │ 2 │ 0.4868244795714193 │ 0.842 ± 0.001 │ 133.731 ± 8.538 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5620643922441562 │ 2 │ 0.48703757522551383 │ 0.842 ± 0.001 │ 133.493 ± 8.656 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5622024606636471 │ 2 │ 0.4869153150678996 │ 0.842 ± 0.001 │ 133.493 ± 8.656 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 53 │ 1000 │ 0.5620397024852543 │ 2 │ 0.4866750674826459 │ 0.842 ± 0.001 │ 133.555 ± 8.624 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 131 │ 1000 │ 0.5615686544391636 │ 2 │ 0.48637783520354494 │ 0.842 ± 0.001 │ 133.669 ± 8.567 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 246 │ 1000 │ 0.5608115794483741 │ 2 │ 0.4859875527211147 │ 0.842 ± 0.001 │ 133.837 ± 8.488 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5627955444329685 │ 2 │ 0.48638045395262075 │ 0.842 ± 0.001 │ 133.492 ± 8.655 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5629227952171314 │ 2 │ 0.4862565732655974 │ 0.842 ± 0.001 │ 133.492 ± 8.655 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5630654292803403 │ 2 │ 0.4861265523291436 │ 0.842 ± 0.001 │ 133.492 ± 8.655 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5632001564894532 │ 2 │ 0.48599537744037485 │ 0.842 ± 0.001 │ 133.492 ± 8.655 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 158 │ 1000 │ 0.5622452022622829 │ 2 │ 0.48549408840461505 │ 0.842 ± 0.001 │ 133.707 ± 8.547 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 137 │ 1000 │ 0.5625377934103944 │ 2 │ 0.485415328896952 │ 0.842 ± 0.001 │ 133.676 ± 8.562 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 132 │ 1000 │ 0.5627169346493973 │ 2 │ 0.48529246082606786 │ 0.842 ± 0.001 │ 133.668 ± 8.565 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 152 │ 1000 │ 0.5626798926313722 │ 2 │ 0.4851257189842768 │ 0.842 ± 0.001 │ 133.697 ± 8.551 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 67 │ 1000 │ 0.5634738183792127 │ 2 │ 0.4851947498010436 │ 0.842 ± 0.001 │ 133.573 ± 8.611 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 396 │ 1000 │ 0.5611285574077822 │ 2 │ 0.48422793722713003 │ 0.842 ± 0.001 │ 134.056 ± 8.390 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 94 │ 1000 │ 0.5635629263943399 │ 2 │ 0.484847973862704 │ 0.842 ± 0.001 │ 133.612 ± 8.592 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 408 │ 1000 │ 0.5613247537467705 │ 2 │ 0.48391151390705595 │ 0.842 ± 0.001 │ 134.073 ± 8.382 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5644825928632986 │ 2 │ 0.4847861109939864 │ 0.842 ± 0.001 │ 133.490 ± 8.653 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5646194940659531 │ 2 │ 0.4846528329525329 │ 0.842 ± 0.001 │ 133.489 ± 8.653 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 416 │ 1000 │ 0.5616978114169137 │ 2 │ 0.4834561505165154 │ 0.842 ± 0.001 │ 134.084 ± 8.377 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5648966399416889 │ 2 │ 0.4843824162627755 │ 0.842 ± 0.001 │ 133.489 ± 8.652 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 44 │ 1000 │ 0.5647627506953944 │ 2 │ 0.48417015971500243 │ 0.842 ± 0.001 │ 133.538 ± 8.627 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5651961094187283 │ 2 │ 0.48409065379808464 │ 0.842 ± 0.001 │ 133.489 ± 8.652 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5653312645461431 │ 2 │ 0.48395866725464404 │ 0.842 ± 0.001 │ 133.488 ± 8.652 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1018 │ 1000 │ 0.5578442595409561 │ 2 │ 0.48108421712173216 │ 0.842 ± 0.001 │ 134.990 ± 8.081 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5656377171980993 │ 2 │ 0.48365708999764934 │ 0.842 ± 0.001 │ 133.488 ± 8.651 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5657485784051254 │ 2 │ 0.48354412734361285 │ 0.842 ± 0.001 │ 133.488 ± 8.651 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 168 │ 1000 │ 0.5647236283106943 │ 2 │ 0.48295639651055505 │ 0.842 ± 0.001 │ 133.717 ± 8.537 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5660349793192042 │ 2 │ 0.48325882728792785 │ 0.842 ± 0.001 │ 133.487 ± 8.651 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 392 │ 1000 │ 0.5633516576395708 │ 2 │ 0.4820231273989797 │ 0.842 ± 0.001 │ 134.046 ± 8.390 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 274 │ 1000 │ 0.5643571086900372 │ 2 │ 0.48222434604103975 │ 0.842 ± 0.001 │ 133.872 ± 8.465 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5664612856410155 │ 2 │ 0.4828300842997498 │ 0.842 ± 0.001 │ 133.487 ± 8.650 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 24 │ 1000 │ 0.5665282984140435 │ 2 │ 0.4826218545260926 │ 0.842 ± 0.001 │ 133.507 ± 8.640 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 44 │ 1000 │ 0.5665053003499163 │ 2 │ 0.4824343168631049 │ 0.842 ± 0.001 │ 133.536 ± 8.625 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5668947615650458 │ 2 │ 0.48239044822499866 │ 0.842 ± 0.001 │ 133.486 ± 8.650 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 347 │ 1000 │ 0.5645561945227883 │ 2 │ 0.48124602601333777 │ 0.842 ± 0.001 │ 133.978 ± 8.416 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 61 │ 1000 │ 0.5668149911674852 │ 2 │ 0.4819398432017098 │ 0.842 ± 0.001 │ 133.560 ± 8.611 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 106 │ 1000 │ 0.5666322197318594 │ 2 │ 0.48165504923128405 │ 0.842 ± 0.001 │ 133.625 ± 8.579 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5674571955949353 │ 2 │ 0.4818104075389169 │ 0.842 ± 0.001 │ 133.485 ± 8.649 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 136 │ 1000 │ 0.5667181062973715 │ 2 │ 0.4812482730836591 │ 0.842 ± 0.001 │ 133.668 ± 8.557 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 24 │ 1000 │ 0.5676752276386641 │ 2 │ 0.48144416374828847 │ 0.842 ± 0.001 │ 133.505 ± 8.638 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.567920910824313 │ 2 │ 0.4813359201502961 │ 0.842 ± 0.001 │ 133.485 ± 8.648 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 44 │ 1000 │ 0.5678432751511805 │ 2 │ 0.4810593742708106 │ 0.842 ± 0.001 │ 133.534 ± 8.623 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 345 │ 1000 │ 0.565816516061027 │ 2 │ 0.4799473354229874 │ 0.842 ± 0.001 │ 133.974 ± 8.416 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 19 │ 1000 │ 0.5682702385195892 │ 2 │ 0.48084369714369113 │ 0.842 ± 0.001 │ 133.497 ± 8.641 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5685294027251708 │ 2 │ 0.480704882901274 │ 0.842 ± 0.001 │ 133.484 ± 8.647 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 44 │ 1000 │ 0.5683762677039014 │ 2 │ 0.4804917329129974 │ 0.842 ± 0.001 │ 133.533 ± 8.622 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 46 │ 1000 │ 0.5685770392222657 │ 2 │ 0.48026843627210536 │ 0.842 ± 0.001 │ 133.536 ± 8.620 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 139 │ 1000 │ 0.5680913355714277 │ 2 │ 0.47977770547365056 │ 0.842 ± 0.001 │ 133.670 ± 8.552 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5691748682699963 │ 2 │ 0.48003143224548267 │ 0.842 ± 0.001 │ 133.483 ± 8.646 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 156 │ 1000 │ 0.5682718456842535 │ 2 │ 0.47939880547344593 │ 0.842 ± 0.001 │ 133.695 ± 8.540 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5694428680445215 │ 2 │ 0.47974329543869204 │ 0.842 ± 0.001 │ 133.483 ± 8.646 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5696212343022765 │ 2 │ 0.4795525955239909 │ 0.842 ± 0.001 │ 133.482 ± 8.645 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5697589898997547 │ 2 │ 0.47940461511352106 │ 0.842 ± 0.001 │ 133.482 ± 8.645 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 423 │ 1000 │ 0.5670524604990842 │ 2 │ 0.4777645613829412 │ 0.842 ± 0.001 │ 134.086 ± 8.365 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 152 │ 1000 │ 0.5690727011463717 │ 2 │ 0.47858184575618934 │ 0.842 ± 0.001 │ 133.688 ± 8.542 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5702624929196524 │ 2 │ 0.4788733592055581 │ 0.842 ± 0.001 │ 133.482 ± 8.644 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 427 │ 1000 │ 0.567545639619241 │ 2 │ 0.47718298050715185 │ 0.842 ± 0.001 │ 134.091 ± 8.361 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.570610680576908 │ 2 │ 0.4785021820129727 │ 0.842 ± 0.001 │ 133.481 ± 8.644 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 192 │ 1000 │ 0.5695138126775079 │ 2 │ 0.47766862592336073 │ 0.842 ± 0.001 │ 133.746 ± 8.513 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 24 │ 1000 │ 0.5708625312970046 │ 2 │ 0.478077820425797 │ 0.842 ± 0.001 │ 133.501 ± 8.633 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5710993421819197 │ 2 │ 0.47797405428331297 │ 0.842 ± 0.001 │ 133.481 ± 8.643 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 25 │ 1000 │ 0.5711858283378393 │ 2 │ 0.4777163984131427 │ 0.842 ± 0.001 │ 133.502 ± 8.631 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 84 │ 1000 │ 0.5709381228173568 │ 2 │ 0.4773261270993507 │ 0.842 ± 0.001 │ 133.587 ± 8.588 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5716187416796311 │ 2 │ 0.47741265378467945 │ 0.842 ± 0.001 │ 133.480 ± 8.642 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 81 │ 1000 │ 0.5713285871116895 │ 2 │ 0.47693653386664664 │ 0.842 ± 0.001 │ 133.583 ± 8.589 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 539 │ 1000 │ 0.5683945157151971 │ 2 │ 0.47496902762306253 │ 0.842 ± 0.001 │ 134.256 ± 8.293 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 255 │ 1000 │ 0.5705208236424765 │ 2 │ 0.4758623580824388 │ 0.842 ± 0.001 │ 133.836 ± 8.467 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5723053796827612 │ 2 │ 0.4766618051028178 │ 0.842 ± 0.001 │ 133.479 ± 8.641 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 254 │ 1000 │ 0.5709028976117928 │ 2 │ 0.47545253508721047 │ 0.842 ± 0.001 │ 133.834 ± 8.467 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 263 │ 1000 │ 0.5710390569876971 │ 2 │ 0.4752181392093871 │ 0.842 ± 0.001 │ 133.847 ± 8.461 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 124 │ 1000 │ 0.5721323383159741 │ 2 │ 0.47556739315325663 │ 0.842 ± 0.001 │ 133.644 ± 8.556 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 351 │ 1000 │ 0.5708317522558329 │ 2 │ 0.4744237978858684 │ 0.842 ± 0.001 │ 133.976 ± 8.403 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5732556497964183 │ 2 │ 0.47562042252639053 │ 0.842 ± 0.001 │ 133.478 ± 8.639 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 277 │ 1000 │ 0.5717210554766147 │ 2 │ 0.4742826488027758 │ 0.842 ± 0.001 │ 133.867 ± 8.450 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 113 │ 1000 │ 0.5730080337551439 │ 2 │ 0.4747292152775097 │ 0.842 ± 0.001 │ 133.627 ± 8.563 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 1000 │ 0.5738408692422862 │ 2 │ 0.47497520237099966 │ 0.842 ± 0.001 │ 133.478 ± 8.638 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 22 │ 1000 │ 0.5739584932729642 │ 2 │ 0.47470762972322234 │ 0.842 ± 0.001 │ 133.495 ± 8.628 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 250 │ 1000 │ 0.5727159988149733 │ 2 │ 0.4734827262082111 │ 0.842 ± 0.001 │ 133.826 ± 8.467 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2478 │ 145 │ 0.6288780121225093 │ 2 │ 0.8 │ 0.837 ± 0.001 │ 73.834 ± 6.053 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3305 │ 144 │ 0.6302992196945869 │ 2 │ 0.8 │ 0.837 ± 0.001 │ 73.548 ± 6.514 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1371 │ 144 │ 0.6332211234926614 │ 2 │ 0.8 │ 0.837 ± 0.001 │ 72.873 ± 5.993 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 3421 │ 143 │ 0.6346702394634174 │ 2 │ 0.8 │ 0.837 ± 0.001 │ 72.978 ± 6.589 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2516 │ 100 │ 0.7482731580507966 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 44.103 ± 9.248 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2023 │ 100 │ 0.7488504544938495 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.883 ± 9.224 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2678 │ 100 │ 0.74906409420303 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 44.178 ± 9.276 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1872 │ 100 │ 0.7497453147069172 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.819 ± 9.236 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2919 │ 100 │ 0.7498324543785212 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 44.296 ± 9.337 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1730 │ 100 │ 0.7506204197322872 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.761 ± 9.255 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1209 │ 100 │ 0.7512016772972009 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.579 ± 9.398 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2032 │ 100 │ 0.7513536857200801 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.878 ± 9.220 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 612 │ 100 │ 0.7522174213513396 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.409 ± 9.690 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 728 │ 100 │ 0.7525878751207381 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.437 ± 9.622 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 700 │ 100 │ 0.7530023109556554 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.429 ± 9.638 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 193 │ 100 │ 0.7535736885833898 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.314 ± 9.969 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1050 │ 100 │ 0.7537054081193658 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.524 ± 9.461 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1809 │ 100 │ 0.7538707382289971 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.783 ± 9.239 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 130 │ 100 │ 0.7548021940630586 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.299 ± 10.016 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1277 │ 100 │ 0.7548433518342729 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.592 ± 9.370 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 2140 │ 100 │ 0.754977638711739 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.915 ± 9.214 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 125 │ 100 │ 0.7560008590714677 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.295 ± 10.019 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 10 │ 100 │ 0.756438371470718 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.274 ± 10.108 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 503 │ 100 │ 0.7566771238733794 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.373 ± 9.754 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 46 │ 100 │ 0.7572134912223064 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.279 ± 10.079 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 592 │ 100 │ 0.7574407760863835 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.393 ± 9.698 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 234 │ 100 │ 0.7579387342553936 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.314 ± 9.937 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 57 │ 100 │ 0.7583867420725098 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.280 ± 10.070 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 177 │ 100 │ 0.7587444130889945 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.302 ± 9.979 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 1161 │ 100 │ 0.7588376543705866 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.549 ± 9.411 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 66 │ 100 │ 0.7595613800056772 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.280 ± 10.063 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 770 │ 100 │ 0.7597392877983706 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.436 ± 9.595 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 576 │ 100 │ 0.7601873556789617 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.387 ± 9.707 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 330 │ 100 │ 0.7606498845838972 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.331 ± 9.868 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 61 │ 100 │ 0.7611196736518424 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.279 ± 10.067 │
├─────────────────────┼───────────┼────────────────────┼───────────┼─────────────────────┼───────────────┼──────────────────┤
│ 903 │ 100 │ 0.7612574689880655 │ 2 │ 0.8 │ 0.834 ± 0.001 │ 43.472 ± 9.526 │
└─────────────────────┴───────────┴────────────────────┴───────────┴─────────────────────┴───────────────┴──────────────────┘
</pre>
<h1> Results</h1>
<div id='tab_results_csv_table'></div>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download »results.csv« as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,n_samples,const,max_depth,threshold
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,616.166078805923461914062500000000,2696,927,0.509098726511001631322983485006,4,0.349907338619232177734375000000
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,431.640611648559570312500000000000,923,523,0.983157448191195770803574305319,3,0.599901591613888784948471766256
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,366.740917444229125976562500000000,1720,688,0.232988941203802840673731111565,3,0.734098481573164596269975845644
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.840119165839126158523697540659,229.579541921615600585937500000000,3929,283,0.700235285330563783645629882812,2,0.477841951698064870690529915009
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,208.529444694519042968750000000000,3184,639,0.848671484831720612795891156566,2,0.350626600347459349560352848130
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.836809003641178383858800771122,606.162961244583129882812500000000,1464,135,0.422072858270257755819443445944,4,0.699644288048148266234704806266
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,171.518337726593017578125000000000,172,849,0.569264088664203860012946734059,2,0.566360709257423877716064453125
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,944.072245597839355468750000000000,2453,347,0.135417047049850247653068890941,4,0.221627616882324240954460492503
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,678.451428413391113281250000000000,2038,723,0.624078165553510144647475499369,4,0.638501181639731019146211110638
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.840450182058920858274575493851,240.151963949203491210937500000000,333,220,0.193082315474748633654655805003,2,0.308856713026762041973682926255
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,455.767675399780273437500000000000,1068,991,0.791210505180060863494873046875,4,0.441517805866897150579575281881
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,467.465579271316528320312500000000,3334,487,0.367027023434638999255241742503,3,0.768122651055455296642549001263
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,339.250683069229125976562500000000,3591,787,0.288896403834223769457878461253,3,0.660927593894302889410141688131
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,909.821961402893066406250000000000,1803,381,0.756807168014347553253173828125,4,0.391634687781333923339843750000
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,222.842940807342529296875000000000,574,603,0.452295095100998856274543413747,2,0.257987186871469043047966351878
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,557.192268610000610351562500000000,2799,199,0.927454274334013506475571375631,3,0.532443594560027211315400563763
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,233.261864185333251953125000000000,2901,564,0.172369556501507759094238281250,2,0.486919049359858080450180750631
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.841774246938099990344994694169,810.443008422851562500000000000000,747,158,0.648409358598291851727424273122,4,0.760167620331049009863022547506
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,176.531078100204467773437500000000,1888,830,0.342957010492682456970214843750,2,0.590226255171001024102395149384
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.842105263157894690095872647362,491.429985284805297851562500000000,3730,427,0.811744964309036753924431195628,3,0.319724336639046702313038395005
20,20_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,184.944664239883422851562500000000,3306,945,0.699491312871473480683448542550,2,0.794471654444348973633793775662
21,21_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,143.825956106185913085937500000000,1995,959,0.964510843291696562395998171269,2,0.800000000000000044408920985006
22,22_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,210.240295886993408203125000000000,1347,650,0.382190134340739173790524318974,2,0.800000000000000044408920985006
23,23_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,187.018615007400512695312500000000,3520,762,0.469514340663957363553038248938,2,0.800000000000000044408920985006
24,24_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,249.415039539337158203125000000000,2857,424,0.944365450852622911881439904391,2,0.200000000000000011102230246252
25,25_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,167.932893991470336914062500000000,10,876,1.000000000000000000000000000000,2,0.200000000000000011102230246252
26,26_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,217.820770502090454101562500000000,2802,628,0.326236188222456979790564446375,2,0.200000000000000011102230246252
27,27_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,138.542926788330078125000000000000,134,1000,0.147609214820728251726933422106,2,0.491708404666924725479049129717
28,28_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,138.682995796203613281250000000000,3999,1000,0.832120126884917765686111579271,2,0.200000000000000011102230246252
29,29_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,136.274461507797241210937500000000,3627,1000,1.000000000000000000000000000000,2,0.200000000000000011102230246252
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,323.063169479370117187500000000000,10,357,0.892069639576620332377387967426,2,0.800000000000000044408920985006
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,132.263070821762084960937500000000,169,1000,0.429117673232012108996968891006,2,0.800000000000000044408920985006
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,132.176342487335205078125000000000,1403,1000,0.841623239559790903285829699598,2,0.800000000000000044408920985006
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,170.910735607147216796875000000000,58,836,0.828510952629792241097561600327,2,0.800000000000000044408920985006
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,181.939672708511352539062500000000,4000,790,1.000000000000000000000000000000,2,0.800000000000000044408920985006
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,133.798223257064819335937500000000,2889,1000,0.562718899999552601975949528423,2,0.200000000000000011102230246252
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,236.399521350860595703125000000000,10,1000,0.873506570798673886990570736089,3,0.800000000000000044408920985006
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,133.032453298568725585937500000000,3627,1000,0.210141416588053159264504188286,2,0.200000000000000011102230246252
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,242.741508483886718750000000000000,888,1000,0.546081861257398881726032868755,3,0.800000000000000044408920985006
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,153.872884511947631835937500000000,3737,914,0.100000000000000005551115123126,2,0.200000000000000011102230246252
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,134.967025995254516601562500000000,1653,1000,0.281357909944291939563498772259,2,0.800000000000000044408920985006
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,132.333451271057128906250000000000,10,1000,0.566518036542927427845484089630,2,0.200000000000000011102230246252
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,236.732077121734619140625000000000,10,1000,0.100000000000000005551115123126,3,0.800000000000000044408920985006
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,169.049773454666137695312500000000,10,1000,0.100000000000000005551115123126,2,0.200000000000000011102230246252
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.830188679245283056573612157081,149.054650306701660156250000000000,4000,100,1.000000000000000000000000000000,2,0.200000000000000011102230246252
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.831843760344256888394909310591,146.966568708419799804687500000000,3795,100,0.920258488119092610268978660315,2,0.200000000000000011102230246252
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,229.369854688644409179687500000000,10,1000,1.000000000000000000000000000000,3,0.200000000000000011102230246252
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.826547500827540582157837434352,165.416515588760375976562500000000,3491,100,0.441201786259250106070339825237,2,0.200000000000000011102230246252
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.828202581926514413979134587862,146.929646492004394531250000000000,1759,100,0.826619028228966268301292075193,2,0.200000000000000011102230246252
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,161.198906660079956054687500000000,356,901,0.194206712214750387701656109130,2,0.800000000000000044408920985006
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,196.984468221664428710937500000000,1887,917,0.429773743936390839603944868941,2,0.200000000000000011102230246252
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,237.412576198577880859375000000000,10,478,1.000000000000000000000000000000,2,0.200000000000000011102230246252
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.836809003641178383858800771122,195.296872854232788085937500000000,534,100,0.100000000000000005551115123126,2,0.200000000000000011102230246252
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,267.215632915496826171875000000000,3073,286,0.100000000000000005551115123126,2,0.200000000000000011102230246252
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.834491890102615041513445248711,109.888568878173828125000000000000,1188,197,1.000000000000000000000000000000,2,0.800000000000000044408920985006
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.835153922542204552037503617612,98.969660997390747070312500000000,1870,220,0.100000000000000005551115123126,2,0.800000000000000044408920985006
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,315.329781532287597656250000000000,4000,402,0.100000000000000005551115123126,2,0.800000000000000044408920985006
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.834491890102615041513445248711,124.632200002670288085937500000000,4000,189,1.000000000000000000000000000000,2,0.800000000000000044408920985006
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,266.697692155838012695312500000000,344,321,0.100000000000000005551115123126,2,0.200000000000000011102230246252
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.832505792783846398918967679492,200.015379667282104492187500000000,10,100,0.100000000000000005551115123126,3,0.800000000000000044408920985006
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,795.432583808898925781250000000000,4000,537,0.100000000000000005551115123126,4,0.200000000000000011102230246252
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,254.387744903564453125000000000000,10,382,0.100000000000000005551115123126,2,0.200000000000000011102230246252
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.837471036080768005405161602539,99.610804080963134765625000000000,10,118,0.100000000000000005551115123126,2,0.800000000000000044408920985006
63,63_0,RUNNING,BoTorch,GenerationStep_1,,,4000,1000,1.000000000000000000000000000000,3,0.200000000000000011102230246252
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,297.106308937072753906250000000000,4000,477,0.100000000000000005551115123126,2,0.200000000000000011102230246252
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,1021.559963464736938476562500000000,3366,158,1.000000000000000000000000000000,4,0.200000000000000011102230246252
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,191.238418579101562500000000000000,10,726,1.000000000000000000000000000000,2,0.200000000000000011102230246252
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,186.553560256958007812500000000000,10,765,0.100000000000000005551115123126,2,0.200000000000000011102230246252
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,138.361613988876342773437500000000,4000,1000,0.100000000000000005551115123126,2,0.800000000000000044408920985006
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,133.467375516891479492187500000000,4000,1000,1.000000000000000000000000000000,2,0.585240213027175992799300274783
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,306.912943840026855468750000000000,4000,1000,0.100000000000000005551115123126,3,0.200000000000000011102230246252
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,131.028857469558715820312500000000,10,1000,1.000000000000000000000000000000,2,0.552074499905360283058541881474
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,160.862816572189331054687500000000,4000,865,1.000000000000000000000000000000,2,0.200000000000000011102230246252
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,186.984586954116821289062500000000,2309,758,1.000000000000000000000000000000,2,0.200000000000000011102230246252
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,193.860108852386474609375000000000,4000,727,0.100000000000000005551115123126,2,0.200000000000000011102230246252
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,208.421642541885375976562500000000,10,623,1.000000000000000000000000000000,2,0.800000000000000044408920985006
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,167.964276313781738281250000000000,4000,1000,1.000000000000000000000000000000,2,0.800000000000000044408920985006
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.838464084740152215680097924633,127.770918369293212890625000000000,10,183,0.100000000000000005551115123126,2,0.800000000000000044408920985006
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,236.289607524871826171875000000000,4000,1000,1.000000000000000000000000000000,3,0.800000000000000044408920985006
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,316.464402675628662109375000000000,473,391,0.497419440795793976750616138816,2,0.200000000000000011102230246252
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,187.148606061935424804687500000000,3467,752,0.617180527284668767329378624709,2,0.200000000000000011102230246252
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,168.417243480682373046875000000000,4000,833,0.100000000000000005551115123126,2,0.800000000000000044408920985006
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,133.658554315567016601562500000000,10,1000,1.000000000000000000000000000000,2,0.200000000000000011102230246252
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,209.904803991317749023437500000000,10,649,0.100000000000000005551115123126,2,0.800000000000000044408920985006
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,205.588253021240234375000000000000,4000,661,1.000000000000000000000000000000,2,0.800000000000000044408920985006
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.841443230718305179571814278461,163.791810512542724609375000000000,10,155,0.100000000000000005551115123126,2,0.800000000000000044408920985006
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,275.834350347518920898437500000000,10,892,1.000000000000000000000000000000,3,0.800000000000000044408920985006
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,212.472605943679809570312500000000,1250,603,1.000000000000000000000000000000,2,0.200000000000000011102230246252
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,365.721128225326538085937500000000,3994,889,1.000000000000000000000000000000,3,0.800000000000000044408920985006
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.839126117179741837226458756049,207.298589468002319335937500000000,4000,100,0.100000000000000005551115123126,3,0.800000000000000044408920985006
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.841112214498510479820936325268,55.652477979660034179687500000000,10,150,0.838442400931734832525421552418,2,0.800000000000000044408920985006
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,239.052045106887817382812500000000,2785,1000,1.000000000000000000000000000000,3,0.800000000000000044408920985006
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,229.447600603103637695312500000000,2327,1000,1.000000000000000000000000000000,3,0.200000000000000011102230246252
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.836477987421383684107922817930,102.075018882751464843750000000000,10,179,0.816544291656704501747299218550,2,0.800000000000000044408920985006
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,188.106752395629882812500000000000,1025,748,0.100000000000000005551115123126,2,0.800000000000000044408920985006
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,165.063868761062622070312500000000,829,1000,1.000000000000000000000000000000,2,0.200000000000000011102230246252
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,270.140040874481201171875000000000,1570,914,1.000000000000000000000000000000,3,0.200000000000000011102230246252
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,134.866581439971923828125000000000,10,1000,0.100000000000000005551115123126,2,0.800000000000000044408920985006
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,134.649037837982177734375000000000,1004,1000,0.100000000000000005551115123126,2,0.200000000000000011102230246252
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,133.994426488876342773437500000000,2604,1000,0.100000000000000005551115123126,2,0.800000000000000044408920985006
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,342.847709655761718750000000000000,2099,930,0.100000000000000005551115123126,3,0.800000000000000044408920985006
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,200.999290227890014648437500000000,2559,709,0.100000000000000005551115123126,2,0.800000000000000044408920985006
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,152.956490039825439453125000000000,971,915,1.000000000000000000000000000000,2,0.800000000000000044408920985006
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,173.240583658218383789062500000000,2854,822,0.100000000000000005551115123126,2,0.800000000000000044408920985006
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,260.502566099166870117187500000000,3195,354,0.100000000000000005551115123126,2,0.800000000000000044408920985006
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,194.769163370132446289062500000000,1075,724,1.000000000000000000000000000000,2,0.200000000000000011102230246252
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,364.682237148284912109375000000000,10,687,1.000000000000000000000000000000,3,0.200000000000000011102230246252
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,309.022193908691406250000000000000,2006,179,1.000000000000000000000000000000,2,0.360870335485590498780794632694
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.844422376696458143463530632289,225.008490800857543945312500000000,1778,167,1.000000000000000000000000000000,2,0.462364298641747162310622343284
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,138.567063570022583007812500000000,349,962,1.000000000000000000000000000000,2,0.316247899681392163895310432054
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.844422376696458143463530632289,156.059002399444580078125000000000,1943,167,0.702323342533473837789870231063,2,0.506899663121260557474556662783
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.838133068520357515929219971440,132.658718347549438476562500000000,770,155,0.833427170325478194889967653580,2,0.568287338079265458290478818526
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.847732538894405807106124939310,187.797307729721069335937500000000,1038,165,1.000000000000000000000000000000,2,0.408051019323488861623161483294
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.841443230718305179571814278461,256.381057739257812500000000000000,594,161,1.000000000000000000000000000000,2,0.327670073759688318393301642573
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.844091360476663332690350216581,276.190975427627563476562500000000,654,156,1.000000000000000000000000000000,2,0.491127576591086634216765105521
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.838133068520357515929219971440,130.249778032302856445312500000000,16,152,0.610296843881994233171894848056,2,0.496117162925796384431720298380
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.835484938761999362810684033320,38.994250535964965820312500000000,4000,120,0.923183356172948665907540544140,2,0.800000000000000044408920985006
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.835153922542204552037503617612,96.763580799102783203125000000000,2682,100,0.896303775618304432448724128335,2,0.419244717280443601747919046829
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.835484938761999362810684033320,103.398459434509277343750000000000,1996,100,0.831322989483591290316155664186,2,0.454672452683893946190352153280
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.832836809003641209692148095201,74.801589488983154296875000000000,1168,100,0.842358359517073274069787203189,2,0.719720823508347318231415101764
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.831843760344256888394909310591,83.127135753631591796875000000000,723,109,0.741008889045849272747545910534,2,0.411593767782227504259395800545
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.841112214498510479820936325268,77.526690721511840820312500000000,732,139,0.615131886520760451375622324122,2,0.800000000000000044408920985006
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.845415425355842464760769416898,184.504333734512329101562500000000,1183,170,0.446306175282399297810087546168,2,0.441791564393908653407549991243
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.836809003641178383858800771122,57.723557949066162109375000000000,2713,146,0.483776898111648478995050481899,2,0.800000000000000044408920985006
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,144.863819599151611328125000000000,1188,970,0.356210907481178951083933270638,2,0.622803110585797514708872313349
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.847070506454816296582066570409,241.028723955154418945312500000000,3198,167,0.745378635221925933684872234153,2,0.456631638046552990051196729837
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,136.811860561370849609375000000000,3340,1000,0.484721120440324171330104263689,2,0.387788572286934807298308669488
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.837471036080768005405161602539,44.095697879791259765625000000000,4000,100,0.729459510512346143151773958380,2,0.800000000000000044408920985006
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,131.946304798126220703125000000000,10,1000,0.680276392596510848242985503020,2,0.345214907040894303236200357787
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,135.786478996276855468750000000000,1996,1000,0.100000000000000005551115123126,2,0.663783936041234312597225653008
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,184.419898748397827148437500000000,2992,961,0.892416464085472593836811938672,2,0.494042605240147980616427503264
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.839457133399536536977336709242,156.662513971328735351562500000000,3167,154,0.511581023784172472801401454490,2,0.472314607839981026593534352287
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,155.122996091842651367187500000000,3197,923,0.100000000000000005551115123126,2,0.609744784777627280014655752893
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,149.223205566406250000000000000000,383,916,1.000000000000000000000000000000,2,0.504416033409688879807220018847
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.833167825223435909443026048393,74.901521921157836914062500000000,392,145,0.620507146285144139952194564103,2,0.800000000000000044408920985006
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.834160873882820230740264833003,82.194615840911865234375000000000,3867,100,0.745875654633663232040419188706,2,0.578592856777035313697865603899
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.839788149619331347750517124950,264.042547225952148437500000000000,2026,179,0.268574909842799636194854429050,2,0.292032637988106136273103174972
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.834160873882820230740264833003,106.834100246429443359375000000000,3511,160,0.558121380326663141246967825282,2,0.718624567670353653348058742267
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,175.932846784591674804687500000000,926,814,1.000000000000000000000000000000,2,0.200000000000000011102230246252
139,139_0,RUNNING,BoTorch,GenerationStep_1,,,1570,176,0.318910980838960744776500177977,2,0.370690692810238253684929077281
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.824230387288977128790179449425,95.494741916656494140625000000000,450,156,0.586607862133086799261150190432,2,0.763457593039890580755013615999
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.840781198278715669047755909560,312.713008403778076171875000000000,256,183,0.293271909153126841829362092540,2,0.249253994576894483126139334672
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,178.272966384887695312500000000000,219,789,1.000000000000000000000000000000,2,0.422104032690184149956280634797
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,170.803062438964843750000000000000,3413,844,0.100000000000000005551115123126,2,0.367654949098424277398322601584
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,165.103368282318115234375000000000,477,840,1.000000000000000000000000000000,2,0.390133265770653825388336599644
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,195.503113508224487304687500000000,45,712,0.617465671864756870945711852983,2,0.571588639700196465831538716884
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.834491890102615041513445248711,49.953395128250122070312500000000,10,100,0.898571448105530912187077774433,2,0.800000000000000044408920985006
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.839788149619331347750517124950,171.933302164077758789062500000000,3955,121,0.702641322613039243094590347027,2,0.502644110291698087422673779656
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,188.618708133697509765625000000000,3618,745,0.100000000000000005551115123126,2,0.375749945301663335062158921573
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,205.992843389511108398437500000000,1050,641,0.661595507132126559035611990112,2,0.595940023750374914257577074750
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,189.156695604324340820312500000000,610,925,1.000000000000000000000000000000,2,0.675616431472703893312825584871
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,222.145539999008178710937500000000,1037,569,1.000000000000000000000000000000,2,0.800000000000000044408920985006
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,190.818322420120239257812500000000,28,731,0.883688113067469083183880229626,2,0.362447694287383770372912294988
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.835815954981794062561561986513,156.658181190490722656250000000000,695,197,0.344308190072410036375316622070,2,0.474316121973912152576247081015
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.838133068520357515929219971440,100.397716283798217773437500000000,244,114,0.767543808710501651582092108583,2,0.507706294403163282957791579975
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.835484938761999362810684033320,162.330760717391967773437500000000,3642,193,0.344326123165647202117867209381,2,0.483339823928370049266334262938
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,175.748561620712280273437500000000,3908,1000,0.566296926453211391105924121803,2,0.679525449987875340696064085932
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,228.377138614654541015625000000000,3162,538,1.000000000000000000000000000000,2,0.345846264360135602355938999608
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,186.983885765075683593750000000000,160,771,0.100000000000000005551115123126,2,0.574589021283485879010299868241
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,208.606648445129394531250000000000,522,888,0.100000000000000005551115123126,2,0.455702421840101679073598006653
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.834491890102615041513445248711,77.830029726028442382812500000000,3447,147,0.641693255509909743494745271164,2,0.656552750386579231367534248420
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,202.232823133468627929687500000000,4000,674,1.000000000000000000000000000000,2,0.200000000000000011102230246252
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.829195630585898735276373372471,53.510648250579833984375000000000,360,121,0.702994892464708365231729203515,2,0.800000000000000044408920985006
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.847070506454816296582066570409,266.030497550964355468750000000000,3110,184,1.000000000000000000000000000000,2,0.421165023888223410963860260381
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,175.623472929000854492187500000000,3563,825,0.100000000000000005551115123126,2,0.200000000000000011102230246252
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.827540549486924903455076218961,113.443686962127685546875000000000,1813,104,1.000000000000000000000000000000,2,0.547366422134176744407341175247
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,224.208925962448120117187500000000,2117,552,1.000000000000000000000000000000,2,0.621178814567443837724169952708
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,234.531556367874145507812500000000,441,768,1.000000000000000000000000000000,2,0.636241956423848065149684316566
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,222.814209699630737304687500000000,3473,587,0.100000000000000005551115123126,2,0.800000000000000044408920985006
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,146.895390510559082031250000000000,871,951,0.100000000000000005551115123126,2,0.200000000000000011102230246252
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,216.686858892440795898437500000000,3955,862,1.000000000000000000000000000000,2,0.541685286352206585291924056946
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,139.447112321853637695312500000000,70,963,1.000000000000000000000000000000,2,0.200000000000000011102230246252
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.846077457795431975284827785799,123.662183046340942382812500000000,2510,157,0.623366053624746063732686707226,2,0.647997092712512490209064708324
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,267.111365079879760742187500000000,10,677,0.100000000000000005551115123126,2,0.200000000000000011102230246252
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,145.295943975448608398437500000000,4000,941,1.000000000000000000000000000000,2,0.200000000000000011102230246252
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.835815954981794062561561986513,96.428440809249877929687500000000,2589,153,0.619624678335616518864981117076,2,0.743584545369211036280887583416
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,264.389671325683593750000000000000,1128,317,0.100000000000000005551115123126,2,0.800000000000000044408920985006
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,186.947679996490478515625000000000,2491,965,0.100000000000000005551115123126,2,0.800000000000000044408920985006
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,221.027486562728881835937500000000,1095,603,1.000000000000000000000000000000,2,0.501290629768307294256146633415
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,183.183276653289794921875000000000,4000,799,0.100000000000000005551115123126,2,0.314294697920940335755801697815
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,311.391870498657226562500000000000,3245,466,1.000000000000000000000000000000,2,0.520898725204308021830001962371
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,163.001914024353027343750000000000,10,860,1.000000000000000000000000000000,2,0.800000000000000044408920985006
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,166.563094377517700195312500000000,195,854,0.100000000000000005551115123126,2,0.200000000000000011102230246252
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.840781198278715669047755909560,130.419532299041748046875000000000,3682,152,0.612843174649084221350392454042,2,0.777102551363614835189252971759
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.836477987421383684107922817930,78.712328910827636718750000000000,3304,131,0.650763236773471476226404774934,2,0.800000000000000044408920985006
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,335.166375160217285156250000000000,3234,332,0.100000000000000005551115123126,2,0.491916457103614035428762463198
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,220.409775495529174804687500000000,103,570,1.000000000000000000000000000000,2,0.200000000000000011102230246252
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,177.932709455490112304687500000000,10,798,0.100000000000000005551115123126,2,0.800000000000000044408920985006
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,232.225117921829223632812500000000,3199,523,0.346092876696141360515213136750,2,0.729581732810118177567915154214
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,294.710930347442626953125000000000,10,523,1.000000000000000000000000000000,2,0.200000000000000011102230246252
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,203.057691097259521484375000000000,4000,679,0.114672828260211703832460727881,2,0.621944837200892886031056150387
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.832174776564051588145787263784,54.358834266662597656250000000000,3573,112,0.729594646229852261676285252179,2,0.800000000000000044408920985006
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,258.678190231323242187500000000000,4000,709,1.000000000000000000000000000000,2,0.800000000000000044408920985006
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,162.766119480133056640625000000000,2256,882,0.100000000000000005551115123126,2,0.800000000000000044408920985006
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,218.385930299758911132812500000000,3146,617,0.338469340429256193569784727515,2,0.800000000000000044408920985006
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,212.765672206878662109375000000000,1020,886,0.100000000000000005551115123126,2,0.200000000000000011102230246252
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,213.972712278366088867187500000000,2708,638,1.000000000000000000000000000000,2,0.200000000000000011102230246252
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,187.156854391098022460937500000000,3495,970,0.100000000000000005551115123126,2,0.200000000000000011102230246252
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,152.944262742996215820312500000000,3933,913,1.000000000000000000000000000000,2,0.645891877937360137096334256057
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.842105263157894690095872647362,230.375031709671020507812500000000,1399,795,0.100000000000000005551115123126,2,0.200000000000000011102230246252
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.841774246938099990344994694169,82.222684144973754882812500000000,1695,159,0.580644418325500399902239223593,2,0.682795284603719632166018982389
</pre>
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<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> 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>
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1741350776.785795,20,2,10
1741350781.137816,20,2,10
1741350785.911495,20,3,15
1741350790.3062723,20,3,15
1741350795.8878744,20,2,10
1741350801.4383564,20,1,5
1741350806.4993188,20,1,5
1741350908.3257926,20,1,5
1741350913.0939429,20,1,5
1741350918.549211,20,2,10
1741350922.7107174,20,2,10
1741350931.3063717,20,2,10
1741350937.6117742,20,2,10
1741351014.1059692,20,2,10
1741351018.7044046,20,2,10
1741351023.5990913,20,3,15
1741351029.7075353,20,3,15
1741351090.2479286,20,3,15
1741351094.1662896,20,3,15
1741351099.8658736,20,4,20
1741351106.036678,20,4,20
1741351195.076215,20,4,20
1741351199.4004064,20,4,20
1741351204.9717205,20,5,25
1741351208.7466507,20,5,25
1741351214.5112305,20,4,20
1741351220.6124833,20,3,15
1741351225.827611,20,3,15
1741351305.5776339,20,3,15
1741351310.2579134,20,3,15
1741351315.6051307,20,4,20
1741351320.3113673,20,4,20
1741351326.679542,20,3,15
1741351331.943272,20,3,15
1741351401.6295354,20,3,15
1741351405.8642886,20,3,15
1741351411.4834616,20,4,20
1741351416.5076706,20,4,20
1741351422.3748848,20,3,15
1741351427.730936,20,3,15
1741351534.356798,20,3,15
1741351539.4111602,20,3,15
1741351545.1145933,20,4,20
1741351549.2920182,20,4,20
1741351555.494597,20,3,15
1741351561.6931121,20,2,10
1741351568.4331098,20,1,5
1741351574.0624878,20,1,5
1741351684.6869106,20,1,5
1741351688.7490492,20,1,5
1741351694.4534507,20,2,10
1741351701.6709816,20,2,10
1741351787.2468638,20,2,10
1741351791.3017442,20,2,10
1741351797.1679027,20,3,15
1741351803.3547208,20,3,15
1741351877.5023093,20,3,15
1741351881.7635484,20,3,15
1741351887.3017905,20,4,20
1741351891.9645069,20,4,20
1741351898.5234873,20,3,15
1741351904.0706067,20,3,15
1741352013.2061145,20,3,15
1741352017.5708747,20,3,15
1741352023.1462045,20,4,20
1741352027.859357,20,4,20
1741352034.2062912,20,3,15
1741352039.6742733,20,2,10
1741352045.036425,20,2,10
1741352145.2023017,20,2,10
1741352149.762491,20,2,10
1741352155.2807572,20,3,15
1741352159.3204339,20,3,15
1741352165.484846,20,2,10
1741352170.9661913,20,2,10
1741352238.8434372,20,2,10
1741352243.0221426,20,2,10
1741352248.5995522,20,3,15
1741352254.7691157,20,3,15
1741352367.9851196,20,3,15
1741352372.6303804,20,3,15
1741352377.705171,20,4,20
1741352382.458722,20,4,20
1741352388.4379654,20,3,15
1741352394.4653676,20,2,10
1741352400.0766273,20,2,10
1741352488.9176235,20,2,10
1741352493.3522232,20,2,10
1741352499.488377,20,3,15
1741352504.9855268,20,3,15
1741352511.4683743,20,2,10
1741352515.5670822,20,2,10
1741352521.4319592,20,2,10
1741352531.627906,20,2,10
1741352541.510338,20,2,10
1741352551.9035122,20,2,10
1741352561.8678284,20,2,10
1741352571.8912199,20,2,10
1741352581.8671145,20,2,10
1741352592.0555243,20,2,10
1741352602.114773,20,2,10
1741352612.028558,20,2,10
1741352622.5791495,20,2,10
1741352628.9189584,20,1,5
1741352647.8959851,20,1,5
1741352653.6826289,20,0,0
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download »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
1741340003,592.32421875,39.5
1741340003,592.32421875,37.3
1741340003,593.25,36.7
1741340003,593.25,43.2
1741340003,593.25,27.3
1741340003,593.25,36.8
1741340003,593.25,27.3
1741340089,604.546875,40.3
1741340089,604.546875,45.8
1741340089,604.546875,41.1
1741340089,604.546875,46.7
1741340094,604.55078125,41.1
1741340094,604.55078125,45.7
1741340094,604.55078125,39.8
1741340094,604.55078125,48.9
1741340099,604.55078125,40.8
1741340099,604.55078125,42.6
1741340099,604.55078125,40.6
1741340099,604.55078125,50.0
1741340104,604.5703125,41.5
1741340104,604.5703125,43.8
1741340104,604.5703125,39.3
1741340104,604.5703125,46.5
1741340109,604.5703125,41.0
1741340109,604.5703125,42.6
1741340109,604.5703125,38.9
1741340109,604.5703125,42.5
1741340114,604.578125,41.2
1741340114,604.578125,42.6
1741340114,604.578125,40.4
1741340114,604.578125,48.8
1741340120,604.578125,41.2
1741340120,604.578125,31.4
1741340120,604.578125,42.4
1741340120,604.578125,50.0
1741340125,604.578125,40.8
1741340125,604.578125,27.3
1741340125,604.578125,39.6
1741340125,604.578125,47.6
1741340130,604.578125,39.7
1741340130,604.578125,43.4
1741340130,604.578125,42.1
1741340130,604.578125,47.8
1741340135,604.578125,41.2
1741340135,604.578125,31.4
1741340135,604.578125,40.4
1741340135,604.578125,46.7
1741340140,604.578125,40.8
1741340140,604.578125,27.8
1741340140,604.578125,42.9
1741340140,604.578125,31.3
1741340145,604.578125,40.7
1741340145,604.578125,46.7
1741340145,604.578125,42.4
1741340145,604.578125,33.3
1741340150,604.578125,41.3
1741340150,604.578125,30.3
1741340150,604.578125,41.9
1741340150,604.578125,46.9
1741340155,604.578125,40.4
1741340155,604.578125,41.9
1741340155,604.578125,37.4
1741340155,604.578125,46.5
1741340160,604.578125,38.3
1741340160,604.578125,44.7
1741340161,604.578125,37.6
1741340161,604.578125,40.0
1741340165,604.59765625,38.3
1741340165,604.59765625,45.7
1741340165,604.59765625,37.5
1741340165,604.59765625,42.1
1741340171,604.59765625,41.2
1741340171,604.59765625,38.6
1741340171,604.59765625,41.0
1741340171,604.59765625,48.9
1741340176,604.59765625,40.1
1741340176,604.59765625,43.2
1741340176,604.59765625,36.9
1741340176,604.59765625,46.5
1741340181,604.59765625,38.2
1741340181,604.59765625,35.5
1741340181,604.59765625,36.8
1741340181,604.59765625,47.7
1741340186,604.61328125,38.3
1741340186,604.61328125,37.5
1741340186,604.61328125,40.7
1741340186,604.61328125,39.1
1741340191,604.61328125,38.3
1741340191,604.61328125,39.7
1741340191,604.61328125,44.7
1741340191,604.61328125,33.3
1741340197,604.61328125,41.5
1741340197,604.61328125,46.7
1741340197,604.61328125,41.1
1741340197,604.61328125,45.5
1741340202,604.61328125,41.2
1741340202,604.61328125,47.8
1741340202,604.61328125,39.6
1741340202,604.61328125,47.6
1741340207,604.61328125,41.0
1741340207,604.61328125,28.6
1741340207,604.61328125,46.6
1741340207,604.61328125,40.0
1741340212,604.61328125,40.7
1741340212,604.61328125,43.4
1741340212,604.61328125,41.4
1741340212,604.61328125,35.1
1741340217,604.61328125,41.2
1741340217,604.61328125,32.4
1741340217,604.61328125,42.1
1741340218,604.61328125,40.5
1741340223,604.61328125,41.5
1741340223,604.61328125,32.4
1741340223,604.61328125,42.4
1741340223,604.61328125,30.3
1741340228,604.61328125,41.5
1741340228,604.61328125,42.9
1741340228,604.61328125,41.1
1741340228,604.61328125,47.7
1741340235,605.04296875,41.3
1741340235,605.04296875,40.8
1741340235,605.04296875,40.1
1741340235,605.04296875,48.8
1741340244,605.09765625,41.2
1741340244,605.09765625,30.6
1741340244,605.09765625,44.5
1741340244,605.09765625,34.4
1741340253,605.09765625,41.3
1741340253,605.09765625,46.7
1741340253,605.09765625,42.1
1741340253,605.09765625,33.3
1741340262,605.10546875,41.5
1741340262,605.10546875,46.8
1741340262,605.10546875,40.9
1741340262,605.10546875,34.4
1741340272,605.25,41.2
1741340272,605.25,34.3
1741340272,605.25,42.0
1741340272,605.25,50.0
1741340280,605.25,41.5
1741340280,605.25,46.8
1741340280,605.25,41.8
1741340280,605.25,36.4
1741340290,605.38671875,41.4
1741340290,605.45703125,43.5
1741340290,605.45703125,40.4
1741340290,605.45703125,50.0
1741340299,605.45703125,41.4
1741340299,605.45703125,45.5
1741340299,605.45703125,40.4
1741340299,605.45703125,39.6
1741340308,605.47265625,40.1
1741340308,605.47265625,46.7
1741340308,605.47265625,38.3
1741340308,605.47265625,48.8
1741340315,605.47265625,40.0
1741340315,605.47265625,36.5
1741340315,605.47265625,38.9
1741340315,605.47265625,42.9
1741340324,605.47265625,40.1
1741340324,605.47265625,47.7
1741340324,605.47265625,41.3
1741340324,605.47265625,31.2
1741340332,605.60546875,41.5
1741340332,605.60546875,43.8
1741340332,605.60546875,39.8
1741340332,605.60546875,50.0
1741340340,605.60546875,41.2
1741340340,605.60546875,48.9
1741340340,605.60546875,42.1
1741340340,605.60546875,43.6
1741340348,605.60546875,41.2
1741340348,605.60546875,44.7
1741340348,605.60546875,38.9
1741340348,605.60546875,47.7
1741340357,605.78125,41.4
1741340357,605.78125,30.6
1741340357,605.78125,42.9
1741340357,605.78125,43.8
1741340364,605.78125,40.1
1741340364,605.78125,43.5
1741340364,605.78125,37.9
1741340364,605.78125,39.5
1741340372,605.78125,40.5
1741340372,605.78125,37.5
1741340372,605.78125,40.5
1741340372,605.78125,47.7
1741340379,605.78125,41.5
1741340379,605.78125,45.5
1741340379,605.78125,41.9
1741340379,605.78125,46.7
1741340386,605.78125,41.4
1741340386,605.78125,36.8
1741340386,605.78125,40.7
1741340386,605.78125,50.0
1741340393,605.78125,41.4
1741340393,605.78125,43.8
1741340393,605.78125,42.2
1741340393,605.78125,36.4
1741340400,605.78125,41.2
1741340400,605.78125,46.7
1741340400,605.78125,42.8
1741340400,605.78125,33.3
1741340407,605.78125,39.4
1741340407,605.78125,44.2
1741340407,605.78125,36.4
1741340407,605.78125,43.9
1741340414,605.78125,41.0
1741340414,605.78125,45.5
1741340414,605.78125,40.8
1741340414,605.78125,40.5
1741340422,605.78125,41.4
1741340422,605.78125,46.7
1741340422,605.78125,37.8
1741340422,605.78125,50.0
1741340429,606.34375,41.4
1741340429,606.34375,30.3
1741340429,606.34375,42.2
1741340429,606.34375,47.4
1741340437,606.390625,41.5
1741340437,606.390625,45.7
1741340437,606.390625,41.7
1741340437,606.390625,38.9
1741340444,606.390625,41.4
1741340444,606.390625,32.4
1741340444,606.390625,42.3
1741340444,606.390625,42.1
1741340450,606.390625,41.1
1741340450,606.390625,44.4
1741340450,606.390625,40.3
1741340450,606.390625,34.4
1741340456,606.390625,40.4
1741340456,606.390625,46.7
1741340456,606.390625,40.8
1741340456,606.390625,47.6
1741340463,606.390625,41.5
1741340463,606.390625,45.7
1741340463,606.390625,39.4
1741340463,606.390625,43.6
1741340469,606.390625,40.9
1741340469,606.390625,39.5
1741340470,606.390625,42.5
1741340470,606.390625,34.4
1741340476,606.390625,41.3
1741340476,606.390625,46.5
1741340476,606.390625,40.7
1741340476,606.390625,45.7
1741340483,606.390625,41.0
1741340483,606.390625,40.8
1741340483,606.390625,40.1
1741340483,606.390625,33.3
1741340489,606.39453125,41.4
1741340489,606.39453125,39.6
1741340489,606.39453125,43.9
1741340489,606.39453125,35.3
1741340496,606.46484375,40.8
1741340496,606.46484375,45.5
1741340496,606.46484375,38.9
1741340496,606.46484375,44.4
1741340503,606.46484375,40.5
1741340503,606.46484375,26.5
1741340503,606.46484375,43.4
1741340503,606.46484375,31.3
1741340509,606.46484375,41.4
1741340509,606.46484375,45.7
1741340509,606.46484375,42.9
1741340509,606.46484375,33.3
1741340515,606.46484375,41.2
1741340515,606.46484375,47.6
1741340515,606.46484375,41.7
1741340515,606.46484375,31.2
1741340521,606.46484375,41.4
1741340521,606.46484375,28.1
1741340521,606.46484375,43.7
1741340521,606.46484375,33.3
1741340527,606.46484375,41.5
1741340527,606.46484375,47.7
1741340527,606.46484375,42.0
1741340527,606.46484375,33.3
1741340534,606.46484375,41.2
1741340534,606.46484375,40.9
1741340534,606.46484375,41.2
1741340534,606.46484375,47.6
1741340541,606.46484375,41.4
1741340541,606.46484375,48.9
1741340541,606.46484375,41.6
1741340541,606.46484375,32.3
1741340547,606.46484375,40.9
1741340547,606.46484375,32.4
1741340547,606.46484375,41.0
1741340547,606.46484375,50.0
1741340553,606.46484375,40.9
1741340553,606.46484375,34.3
1741340553,606.46484375,43.4
1741340553,606.46484375,33.3
1741340560,606.46875,41.4
1741340560,606.46875,46.8
1741340560,606.46875,42.1
1741340560,606.46875,34.4
1741340566,606.47265625,41.3
1741340566,606.47265625,48.9
1741340566,606.47265625,41.1
1741340566,606.47265625,32.4
1741340571,606.47265625,41.3
1741340571,606.47265625,30.6
1741340571,606.47265625,41.4
1741340571,606.47265625,47.6
1741340577,606.47265625,40.7
1741340577,606.47265625,48.9
1741340577,606.47265625,41.3
1741340577,606.47265625,36.4
1741340582,606.47265625,40.9
1741340582,606.47265625,30.3
1741340582,606.47265625,43.1
1741340582,606.47265625,36.4
1741340588,606.47265625,41.5
1741340588,606.47265625,46.7
1741340588,606.47265625,42.4
1741340588,606.47265625,34.4
1741340594,606.52734375,41.4
1741340594,606.52734375,46.5
1741340594,606.52734375,42.9
1741340594,606.52734375,43.9
1741340600,606.53515625,41.4
1741340600,606.53515625,38.9
1741340600,606.53515625,44.1
1741340600,606.53515625,34.4
1741340606,606.53515625,41.4
1741340606,606.53515625,46.7
1741340606,606.53515625,40.0
1741340606,606.53515625,46.9
1741340611,606.53515625,41.2
1741340611,606.53515625,30.3
1741340611,606.53515625,41.0
1741340611,606.53515625,31.2
1741340617,606.53515625,39.9
1741340617,606.53515625,47.8
1741340617,606.53515625,38.9
1741340617,606.53515625,31.3
1741340623,606.828125,39.3
1741340623,606.828125,31.4
1741340623,606.828125,39.1
1741340623,606.828125,48.9
1741340628,606.828125,38.3
1741340628,606.828125,42.2
1741340628,606.828125,37.3
1741340628,606.828125,29.0
1741340633,606.828125,37.9
1741340633,606.828125,42.0
1741340633,606.828125,37.1
1741340633,606.828125,45.5
1741340639,606.828125,39.4
1741340639,606.828125,45.7
1741340639,606.828125,42.7
1741340639,606.828125,34.4
1741340644,606.828125,41.3
1741340644,606.828125,35.3
1741340644,606.828125,42.7
1741340644,606.828125,31.3
1741340649,606.828125,41.4
1741340649,606.828125,47.7
1741340649,606.828125,37.4
1741340649,606.828125,51.2
1741340655,606.828125,41.5
1741340655,606.828125,31.4
1741340655,606.828125,41.7
1741340655,606.828125,50.0
1741340660,606.828125,41.3
1741340660,606.828125,38.2
1741340660,606.828125,42.0
1741340660,606.828125,34.4
1741340666,606.90234375,41.3
1741340666,606.90234375,46.9
1741340666,606.90234375,41.4
1741340666,606.90234375,33.3
1741340673,606.90234375,41.1
1741340673,606.90234375,41.0
1741340673,606.90234375,41.7
1741340673,606.90234375,41.0
1741340678,606.97265625,40.8
1741340678,606.97265625,48.5
1741340678,606.97265625,40.1
1741340678,606.97265625,48.8
1741340682,606.97265625,40.1
1741340682,606.97265625,47.7
1741340682,606.97265625,39.4
1741340682,606.97265625,29.0
1741340687,606.97265625,38.3
1741340687,606.97265625,45.5
1741340687,606.97265625,39.2
1741340687,606.97265625,33.9
1741340691,606.97265625,37.9
1741340691,606.97265625,41.3
1741340691,606.97265625,41.1
1741340691,606.97265625,30.3
1741340695,606.97265625,38.5
1741340695,606.97265625,45.5
1741340695,606.97265625,38.1
1741340695,606.97265625,47.6
1741340699,606.97265625,40.2
1741340699,606.97265625,47.7
1741340699,606.97265625,40.6
1741340699,606.97265625,30.3
1741340704,606.97265625,41.0
1741340704,606.97265625,32.4
1741340704,606.97265625,41.3
1741340704,606.97265625,50.0
1741340708,606.97265625,40.8
1741340708,606.97265625,44.2
1741340708,606.97265625,39.0
1741340708,606.97265625,48.8
1741340712,606.97265625,40.0
1741340712,606.97265625,30.3
1741340712,606.97265625,40.0
1741340712,606.97265625,48.8
1741340717,606.97265625,40.1
1741340717,606.97265625,40.5
1741340717,606.97265625,40.4
1741340717,606.97265625,47.6
1741340721,606.97265625,41.0
1741340721,606.97265625,41.0
1741340721,606.97265625,40.9
1741340721,606.97265625,48.8
1741340725,606.97265625,40.9
1741340725,606.97265625,33.3
1741340725,606.97265625,41.4
1741340725,606.97265625,50.0
1741340730,607.02734375,40.4
1741340730,607.02734375,37.8
1741340730,607.02734375,40.4
1741340730,607.02734375,31.2
1741340734,607.0859375,40.7
1741340734,607.0859375,42.9
1741340734,607.0859375,39.7
1741340734,607.0859375,36.4
1741340738,607.0859375,40.5
1741340738,607.0859375,33.3
1741340738,607.0859375,40.4
1741340738,607.0859375,41.7
1741340743,607.0859375,39.2
1741340743,607.0859375,29.4
1741340743,607.0859375,39.0
1741340743,607.0859375,47.7
1741340748,607.2421875,39.7
1741340748,607.2421875,29.4
1741340748,607.2421875,42.2
1741340748,607.2421875,48.8
1741340752,607.2421875,41.0
1741340752,607.2421875,47.7
1741340752,607.2421875,39.8
1741340752,607.2421875,47.6
1741340756,607.2421875,41.0
1741340756,607.2421875,42.9
1741340756,607.2421875,41.1
1741340756,607.2421875,35.3
1741340760,607.44140625,41.1
1741340760,607.44140625,31.4
1741340760,607.44140625,43.5
1741340760,607.44140625,30.3
1741340764,607.44140625,41.0
1741340764,607.44140625,45.5
1741340764,607.44140625,41.1
1741340764,607.44140625,31.3
1741340768,607.44140625,40.8
1741340768,607.44140625,40.0
1741340768,607.44140625,39.7
1741340768,607.44140625,36.4
1741340772,607.44140625,40.5
1741340772,607.44140625,46.7
1741340772,607.44140625,39.7
1741340772,607.44140625,50.0
1741340776,607.44140625,39.4
1741340776,607.44140625,46.5
1741340776,607.44140625,39.9
1741340776,607.44140625,47.6
1741340780,607.44140625,40.6
1741340780,607.44140625,36.2
1741340780,607.44140625,39.5
1741340780,607.44140625,48.8
1741340784,607.44140625,40.5
1741340784,607.44140625,47.7
1741340784,607.44140625,40.3
1741340784,607.44140625,48.8
1741340788,607.4453125,41.0
1741340788,607.4453125,46.7
1741340788,607.4453125,41.4
1741340788,607.4453125,33.3
1741340793,607.4453125,41.0
1741340793,607.4453125,37.8
1741340793,607.4453125,40.9
1741340793,607.4453125,50.0
1741340796,607.4453125,40.8
1741340796,607.4453125,32.4
1741340796,607.4453125,40.3
1741340796,607.4453125,47.7
1741340800,607.4453125,41.0
1741340800,607.4453125,30.3
1741340800,607.4453125,40.7
1741340800,607.4453125,46.5
1741340804,607.4453125,39.9
1741340804,607.4453125,30.3
1741340804,607.4453125,38.8
1741340804,607.4453125,48.8
1741340808,607.4453125,37.9
1741340808,607.4453125,31.4
1741340808,607.4453125,38.8
1741340808,607.4453125,39.2
1741340812,607.4453125,40.2
1741340812,607.4453125,30.6
1741340812,607.4453125,42.4
1741340812,607.4453125,48.8
1741340817,607.4453125,41.0
1741340817,607.4453125,34.3
1741340817,607.4453125,41.3
1741340817,607.4453125,31.2
1741340820,607.4453125,40.4
1741340820,607.4453125,46.7
1741340820,607.4453125,38.0
1741340820,607.4453125,50.0
1741340824,607.4453125,40.4
1741340824,607.4453125,33.3
1741340824,607.4453125,40.9
1741340824,607.4453125,48.8
1741340829,607.4453125,41.0
1741340829,607.4453125,47.8
1741340829,607.4453125,40.6
1741340829,607.4453125,31.3
1741340833,607.4453125,39.8
1741340833,607.4453125,42.1
1741340833,607.4453125,40.6
1741340833,607.4453125,44.7
1741340837,607.4453125,41.0
1741340837,607.4453125,34.3
1741340837,607.4453125,40.4
1741340837,607.4453125,47.5
1741340841,607.4453125,40.2
1741340841,607.4453125,32.4
1741340841,607.4453125,42.1
1741340841,607.4453125,33.3
1741340844,607.4453125,39.1
1741340844,607.4453125,30.3
1741340844,607.4453125,41.5
1741340844,607.4453125,25.7
1741340849,607.4453125,38.4
1741340849,607.4453125,45.5
1741340849,607.4453125,37.0
1741340849,607.4453125,47.6
1741340853,607.4453125,38.1
1741340853,607.4453125,29.4
1741340853,607.4453125,37.6
1741340853,607.4453125,45.2
1741340857,607.4453125,37.3
1741340857,607.4453125,29.4
1741340857,607.4453125,37.0
1741340857,607.4453125,43.9
1741340861,607.4453125,36.9
1741340861,607.4453125,34.5
1741340861,607.4453125,36.8
1741340861,607.4453125,28.1
1741340865,607.4453125,37.8
1741340865,607.4453125,33.3
1741340865,607.4453125,40.3
1741340865,607.4453125,50.0
1741340868,607.4453125,40.4
1741340868,607.4453125,28.1
1741340868,607.4453125,40.1
1741340868,607.4453125,51.2
1741340872,607.4453125,41.0
1741340872,607.4453125,30.3
1741340872,607.4453125,43.2
1741340872,607.4453125,42.3
1741340877,607.4453125,40.3
1741340877,607.4453125,46.7
1741340877,607.4453125,38.1
1741340877,607.4453125,50.0
1741340880,607.4453125,41.0
1741340880,607.4453125,47.7
1741340880,607.4453125,39.3
1741340880,607.4453125,47.6
1741340884,607.4453125,40.4
1741340884,607.4453125,32.4
1741340884,607.4453125,39.1
1741340884,607.4453125,47.6
1741340888,607.4453125,39.7
1741340888,607.4453125,42.2
1741340888,607.4453125,41.1
1741340888,607.4453125,32.4
1741340892,607.4453125,37.1
1741340892,607.4453125,36.5
1741340892,607.4453125,37.2
1741340892,607.4453125,33.3
1741340896,607.4453125,36.8
1741340896,607.4453125,25.0
1741340896,607.4453125,38.3
1741340897,607.4453125,42.2
1741340900,607.4453125,36.7
1741340900,607.4453125,42.2
1741340900,607.4453125,39.0
1741340900,607.4453125,30.3
1741340905,607.4453125,37.0
1741340905,607.4453125,27.8
1741340905,607.4453125,37.6
1741340905,607.4453125,27.3
1741340909,607.4453125,36.7
1741340909,607.4453125,37.4
1741340909,607.4453125,36.1
1741340909,607.4453125,42.9
1741340913,607.4453125,38.9
1741340913,607.4453125,36.1
1741340913,607.4453125,40.9
1741340913,607.4453125,48.8
1741340916,607.4453125,40.5
1741340916,607.4453125,39.6
1741340917,607.4453125,41.1
1741340917,607.4453125,50.0
1741340921,607.4453125,41.0
1741340921,607.4453125,29.4
1741340921,607.4453125,41.4
1741340921,607.4453125,31.2
1741340925,607.4453125,41.0
1741340925,607.4453125,44.4
1741340925,607.4453125,41.3
1741340925,607.4453125,32.3
1741340929,607.4453125,40.9
1741340929,607.4453125,43.1
1741340929,607.4453125,39.0
1741340929,607.4453125,48.8
1741340933,607.4453125,40.8
1741340933,607.4453125,40.4
1741340933,607.4453125,41.3
1741340933,607.4453125,33.3
1741340938,607.4453125,40.8
1741340938,607.4453125,47.8
1741340938,607.4453125,41.4
1741340938,607.4453125,33.3
1741340942,607.4453125,41.0
1741340942,607.4453125,33.3
1741340942,607.4453125,41.7
1741340942,607.4453125,33.3
1741340945,607.4453125,41.0
1741340945,607.4453125,35.1
1741340946,607.4453125,41.6
1741340946,607.4453125,48.8
1741340949,607.4453125,39.4
1741340949,607.4453125,27.3
1741340949,607.4453125,40.1
1741340949,607.4453125,31.3
1741340953,607.4453125,39.1
1741340953,607.4453125,47.7
1741340953,607.4453125,39.1
1741340953,607.4453125,48.8
1741340956,607.4453125,40.8
1741340956,607.4453125,41.6
1741340956,607.4453125,41.5
1741340956,607.4453125,35.3
1741340960,607.4453125,41.0
1741340960,607.4453125,48.9
1741340960,607.4453125,41.2
1741340960,607.4453125,33.3
1741340964,607.4453125,40.5
1741340964,607.4453125,45.7
1741340964,607.4453125,42.2
1741340964,607.4453125,31.3
1741340968,607.4453125,40.9
1741340968,607.4453125,45.5
1741340968,607.4453125,41.4
1741340968,607.4453125,31.3
1741340972,607.4453125,40.3
1741340972,607.4453125,44.4
1741340972,607.4453125,41.1
1741340972,607.4453125,33.3
1741340975,607.4453125,40.9
1741340975,607.4453125,30.3
1741340975,607.4453125,41.4
1741340975,607.4453125,43.9
1741340979,607.4453125,40.8
1741340979,607.4453125,32.4
1741340979,607.4453125,41.4
1741340979,607.4453125,47.7
1741340983,607.4453125,40.5
1741340983,607.4453125,46.7
1741340983,607.4453125,41.4
1741340983,607.4453125,34.4
1741340987,607.4453125,40.9
1741340987,607.4453125,31.4
1741340987,607.4453125,42.2
1741340987,607.4453125,47.6
1741340990,607.4453125,40.8
1741340990,607.4453125,46.7
1741340990,607.4453125,41.4
1741340990,607.4453125,29.0
1741340994,607.4453125,40.8
1741340994,607.4453125,47.7
1741340994,607.4453125,40.8
1741340994,607.4453125,31.3
1741340998,607.4453125,40.3
1741340998,607.4453125,45.7
1741340998,607.4453125,40.4
1741340998,607.4453125,45.7
1741341001,607.4453125,41.0
1741341001,607.4453125,47.7
1741341001,607.4453125,40.4
1741341001,607.4453125,48.9
1741341005,607.4453125,40.6
1741341005,607.4453125,30.3
1741341005,607.4453125,42.5
1741341005,607.4453125,32.3
1741341010,607.5625,40.1
1741341010,607.5625,46.7
1741341010,607.5625,40.5
1741341010,607.5625,31.3
1741341013,607.5625,40.0
1741341013,607.5625,46.7
1741341013,607.5625,40.9
1741341013,607.5625,32.3
1741341016,607.5625,39.1
1741341016,607.5625,43.2
1741341016,607.5625,38.8
1741341016,607.5625,29.0
1741341020,607.5625,40.9
1741341020,607.5625,31.4
1741341020,607.5625,42.2
1741341020,607.5625,36.4
1741341023,607.5625,40.2
1741341023,607.5625,39.5
1741341023,607.5625,40.8
1741341023,607.5625,50.0
1741341027,607.5703125,41.0
1741341027,607.5703125,28.6
1741341027,607.5703125,43.3
1741341027,607.5703125,33.3
1741341030,607.5703125,40.2
1741341030,607.5703125,45.7
1741341030,607.5703125,39.1
1741341030,607.5703125,45.5
1741341540,667.046875,41.5
1741341540,667.046875,48.9
1741341540,667.046875,40.5
1741341540,667.046875,50.0
1741341967,672.29296875,41.3
1741341967,672.29296875,36.1
1741341967,672.29296875,42.1
1741341967,672.29296875,31.2
1741342713,680.97265625,41.5
1741342713,680.97265625,47.8
1741342713,680.97265625,42.0
1741342713,680.97265625,36.4
1741343613,683.62109375,41.5
1741343613,683.62109375,42.9
1741343613,683.62109375,40.6
1741343613,683.62109375,30.3
1741344520,687.80859375,41.3
1741344520,687.80859375,39.6
1741344520,687.80859375,41.5
1741344520,687.80859375,30.3
1741345380,691.19921875,41.2
1741345380,691.19921875,44.0
1741345380,691.19921875,41.5
1741345380,691.19921875,44.4
1741346345,712.01171875,41.3
1741346345,712.01171875,44.7
1741346345,712.01171875,40.6
1741346345,712.01171875,50.0
1741347535,703.484375,41.4
1741347535,703.484375,38.7
1741347535,703.484375,40.3
1741347535,703.484375,48.8
1741348975,752.67578125,41.3
1741348975,752.67578125,40.4
1741348975,752.67578125,41.2
1741348975,752.67578125,46.5
1741350924,719.00390625,41.2
1741350924,719.00390625,46.7
1741350924,719.00390625,40.0
1741350924,719.00390625,48.8
1741352516,779.27734375,41.4
1741352516,779.27734375,40.7
1741352654,779.6015625,41.1
1741352654,779.6015625,32.4
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download »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>
</body>
</html>
Job-Infos
Single Logs