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1742470873.1459534,30,28,93
1742470876.1910589,30,29,97
1742470876.3960347,30,29,97
1742470876.8110988,30,29,97
1742470878.9463818,30,30,100
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1742470880.1059806,30,30,100
1742470881.5893273,30,29,97
1742470881.846873,30,29,97
1742470883.233581,30,28,93
1742470884.6656659,30,28,93
1742470886.0074306,30,27,90
1742470886.3005338,30,27,90
1742470888.1247885,30,26,87
1742470888.4431608,30,26,87
1742470889.911202,30,25,83
1742470890.189952,30,25,83
1742470891.6798377,30,24,80
1742470892.0283551,30,24,80
1742470893.5083325,30,23,77
1742470893.9568808,30,23,77
1742470895.4905293,30,22,73
1742470895.7257876,30,22,73
1742470897.1382012,30,21,70
1742470897.4332535,30,21,70
1742470898.8007615,30,20,67
1742470899.0918303,30,20,67
1742470900.9347126,30,19,63
1742470901.1448727,30,19,63
1742470902.8624277,30,18,60
1742470903.0948303,30,18,60
1742470904.5118074,30,17,57
1742470904.7824035,30,17,57
1742470906.3095794,30,16,53
1742470906.5948157,30,16,53
1742470908.2405667,30,15,50
1742470908.5975082,30,15,50
1742470909.959956,30,14,47
1742470910.1687849,30,14,47
1742470911.4606984,30,13,43
1742470911.6408806,30,13,43
1742470913.401957,30,12,40
1742470913.6995592,30,12,40
1742470915.131399,30,11,37
1742470915.375563,30,11,37
1742470916.6251729,30,10,33
1742470916.8132699,30,10,33
1742470918.1302354,30,9,30
1742470918.3204467,30,9,30
1742470919.6687727,30,8,27
1742470919.9046845,30,8,27
1742470921.2927961,30,7,23
1742470921.5772736,30,7,23
1742470922.839834,30,6,20
1742470923.0511706,30,6,20
1742470924.773511,30,5,17
1742470925.0368485,30,5,17
1742470926.4492972,30,4,13
1742470926.665474,30,4,13
1742470927.9164739,30,3,10
1742470928.1871128,30,3,10
1742470929.5352292,30,2,7
1742470929.780916,30,2,7
1742470931.1170034,30,1,3
1742470931.3473086,30,1,3
1742470934.313807,30,0,0
1742470934.4837058,30,0,0
Skipped tabs:
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}
select:focus {
border-color: #4caf50;
box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
}
select::-ms-expand {
display: none;
}
input, textarea {
border-radius: 5px;
}
#search {
width: 200px;
max-width: 70%;
background-image: url(images/search.svg);
background-repeat: no-repeat;
background-size: auto 40px;
height: 40px;
line-height: 40px;
padding-left: 40px;
box-sizing: border-box;
}
input[type="checkbox"] {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
width: 25px;
height: 25px;
border: 2px solid #3498db;
border-radius: 5px;
background-color: #fff;
position: relative;
cursor: pointer;
transition: all 0.3s ease;
width: 25px !important;
}
input[type="checkbox"]:checked {
background-color: #3498db;
border-color: #2980b9;
}
input[type="checkbox"]:checked::before {
content: '✔';
position: absolute;
left: 4px;
top: 2px;
color: #fff;
}
input[type="checkbox"]:hover {
border-color: #2980b9;
background-color: #3caffc;
}
.toc {
margin-bottom: 20px;
}
.toc li {
margin-bottom: 5px;
}
.toc a {
text-decoration: none;
color: #007bff;
}
.toc a:hover {
text-decoration: underline;
}
.table-container {
width: 100%;
overflow-x: auto;
}
.section-header {
background-color: #1d6f9a !important;
color: white;
}
.warning {
color: red;
}
.li_list a {
text-decoration: none;
color: #007bff;
}
.gridjs-td {
white-space: nowrap;
}
th, td {
border: 1px solid gray !important;
}
.no_border {
border: 0px !important;
}
.no_break {
}
img {
user-select: none;
pointer-events: none;
}
#config_table, #hidden_config_table {
user-select: none;
}
.copy_clipboard_button {
margin-bottom: 10px;
}
.badge_table {
background-color: unset !important;
}
.make_markable {
user-select: text;
}
.header-container {
display: flex;
flex-wrap: wrap;
align-items: center;
justify-content: space-between;
gap: 1rem;
padding: 10px;
background: var(--header-bg, #fff);
border-bottom: 1px solid #ccc;
}
.header-logo-group {
display: flex;
gap: 1rem;
align-items: center;
flex: 1 1 auto;
min-width: 200px;
}
.logo-img {
max-height: 45px;
height: auto;
width: auto;
object-fit: contain;
pointer-events: unset;
}
.header-badges {
flex-direction: column;
gap: 5px;
align-items: flex-start;
flex: 0 1 auto;
margin-top: auto;
margin-bottom: auto;
}
.badge-img {
height: auto;
max-width: 130px;
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 {
font-size: 2em;
}
}
.header_button {
margin-top: 20px;
margin: 5px;
}
.line_break_anywhere {
line-break: anywhere;
}
.responsive-container {
display: flex;
flex-wrap: wrap;
justify-content: space-between;
gap: 20px;
}
.responsive-container .half {
flex: 1 1 48%;
box-sizing: border-box;
min-width: 500px;
}
.config-section table {
width: 100%;
border-collapse: collapse;
}
@media (max-width: 768px) {
.responsive-container .half {
flex: 1 1 100%;
}
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
.rotate {
animation: spin 2s linear infinite;
display: inline-block;
}
input::placeholder {
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
.gridjs-th-content {
overflow: visible !important;
}
/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
body{
color: #222
}
.surface{
background: #ece9d8
}
u{
text-decoration: none;
border-bottom: .5px solid #222
}
a{
color: #00f
}
a: focus{
outline: 1px dotted #00f
}
code,code *{
font-family: monospace
}
pre{
display: block;
padding: 12px 8px;
background-color: #000;
color: silver;
font-size: 1rem;
margin: 0;
overflow: scroll;
}
summary: focus{
outline: 1px dotted #000
}
: :-webkit-scrollbar{
width: 16px
}
: :-webkit-scrollbar: horizontal{
height: 17px
}
: :-webkit-scrollbar-track{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-color: #dfdfdf;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
display: block
}
: :-webkit-scrollbar-button: vertical: start{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: end{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: start{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: end{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
}
button{
border: none;
background: #ece9d8;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
border-radius: 0;
min-width: 75px;
min-height: 23px;
padding: 0 12px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
}
button.focused,button: focus{
outline: 1px dotted #000;
outline-offset: -4px
}
label{
display: inline-flex;
align-items: center
}
textarea{
padding: 3px 4px;
border: none;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0
}
textarea: focus{
outline: none
}
select: focus option{
color: #000;
background-color: #fff
}
.vertical-bar{
width: 4px;
height: 20px;
background: silver;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
&: disabled,&: disabled+label{
color: grey;
text-shadow: 1px 1px 0 #fff
}
input[type=radio]+label{
line-height: 13px;
position: relative;
margin-left: 19px
}
input[type=radio]+label: before{
content: "";
position: absolute;
top: 0;
left: -19px;
display: inline-block;
width: 13px;
height: 13px;
margin-right: 6px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
}
input[type=radio]: active+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio]: checked+label: after{
content: "";
display: block;
width: 5px;
height: 5px;
top: 5px;
left: -14px;
position: absolute;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=radio][disabled]+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
}
input[type=email],input[type=password]{
padding: 3px 4px;
border: 1px solid #7f9db9;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0;
height: 21px;
line-height: 2
}
input[type=email]: focus,input[type=password]: focus{
outline: none
}
input[type=range]{
-webkit-appearance: none;
width: 100%;
background: transparent
}
input[type=range]: focus{
outline: none
}
input[type=range]: :-webkit-slider-thumb{
-webkit-appearance: none;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-webkit-slider-runnable-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range]: :-moz-range-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
.is-vertical{
display: inline-block;
width: 4px;
height: 150px;
transform: translateY(50%)
}
.is-vertical>input[type=range]{
width: 150px;
height: 4px;
margin: 0 16px 0 10px;
transform-origin: left;
transform: rotate(270deg) translateX(calc(-50% + 8px))
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-webkit-slider-thumb{
transform: translateY(-8px) scaleX(-1)
}
.is-vertical>input[type=range]: :-moz-range-thumb{
transform: translateY(2px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
transform: translateY(-10px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
transform: translateY(0) scaleX(-1)
}
.window{
font-size: 11px;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
background: #ece9d8;
padding: 3px
}
.window fieldset{
margin-bottom: 9px
}
.title-bar{
background: #000;
padding: 3px 2px 3px 3px;
display: flex;
justify-content: space-between;
align-items: center
}
.title-bar-text{
font-weight: 700;
color: #fff;
letter-spacing: 0;
margin-right: 24px
}
.title-bar-controls button{
padding: 0;
display: block;
min-width: 16px;
min-height: 14px
}
.title-bar-controls button: focus{
outline: none
}
.window-body{
margin: 8px
}
.window-body pre{
margin: -8px
}
.status-bar{
margin: 0 1px;
display: flex;
gap: 1px
}
.status-bar-field{
box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
flex-grow: 1;
padding: 2px 3px;
margin: 0
}
ul.tree-view{
display: block;
background: #fff;
padding: 6px;
margin: 0
}
ul.tree-view li{
list-style-type: none;
margin-top: 3px
}
ul.tree-view a{
text-decoration: none;
color: #000
}
ul.tree-view a: focus{
background-color: #2267cb;
color: #fff
}
ul.tree-view ul{
margin-top: 3px;
margin-left: 16px;
padding-left: 16px;
border-left: 1px dotted grey
}
ul.tree-view ul>li{
position: relative
}
ul.tree-view ul>li: before{
content: "";
display: block;
position: absolute;
left: -16px;
top: 6px;
width: 12px;
border-bottom: 1px dotted grey
}
ul.tree-view ul>li: last-child: after{
content: "";
display: block;
position: absolute;
left: -20px;
top: 7px;
bottom: 0;
width: 8px;
background: #fff
}
ul.tree-view ul details>summary: before{
margin-left: -22px;
position: relative;
z-index: 1
}
ul.tree-view details{
margin-top: 0
}
ul.tree-view details>summary: before{
text-align: center;
display: block;
float: left;
content: "+";
border: 1px solid grey;
width: 8px;
height: 9px;
line-height: 9px;
margin-right: 5px;
padding-left: 1px;
background-color: #fff
}
ul.tree-view details[open] summary{
margin-bottom: 0
}
ul.tree-view details[open]>summary: before{
content: "-"
}
fieldset{
border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
padding: 10px;
padding-block-start: 8px;
margin: 0
}
legend{
background: #ece9d8
}
menu[role=tablist]{
position: relative;
margin: 0 0 -2px;
text-indent: 0;
list-style-type: none;
display: flex;
padding-left: 3px
}
menu[role=tablist] button{
z-index: 1;
display: block;
color: #222;
text-decoration: none;
min-width: unset
}
menu[role=tablist] button[aria-selected=true]{
padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
}
menu[role=tablist] button: focus{
outline: 1px dotted #222;outline-offset: -4px
}
menu[role=tablist].justified button{
flex-grow: 1;text-align: center
}
[role=tabpanel]{
padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
}
: :-webkit-scrollbar{
width: 17px
}
: :-webkit-scrollbar-corner{
background: #dfdfdf
}
: :-webkit-scrollbar-track: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-track: horizontal{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-position: 50%;
background-repeat: no-repeat;
background-color: #c8d6fb;
background-size: 7px;
border: 1px solid #fff;
border-radius: 2px;
box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
}
: :-webkit-scrollbar-thumb: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb: horizontal{
background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: start{
height: 17px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 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}
: :-webkit-scrollbar-button: vertical: end{
height: 17px;
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}
.window{
box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
border-top-left-radius: 8px;
border-top-right-radius: 8px;
padding: 0 0 3px;
-webkit-font-smoothing: antialiased
}
.title-bar{
background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
padding: 3px 5px 3px 3px;
border-top: 1px solid #0831d9;
border-left: 1px solid #0831d9;
border-right: 1px solid #001ea0;
border-top-left-radius: 8px;
border-top-right-radius: 7px;
font-size: 13px;
text-shadow: 1px 1px #0f1089;
height: 21px
}
.title-bar-text{
padding-left: 3px
}
.title-bar-controls{
display: flex
}
.title-bar-controls button{
min-width: 21px;
min-height: 21px;
margin-left: 2px;
background-repeat: no-repeat;
background-position: 50%;
box-shadow: none;
background-color: #0050ee;
transition: background .1s;
border: none
}
.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
box-shadow: none!important
}
.title-bar-controls button[aria-label=Minimize]{
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stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
}
.status-bar{
margin: 0 3px;
box-shadow: inset 0 1px 2px grey;
padding: 2px 1px;
gap: 0
}
.status-bar-field{
-webkit-font-smoothing: antialiased;
box-shadow: none;
padding: 1px 2px;
border-right: 1px solid rgba(208,206,191,.75);
border-left: 1px solid hsla(0,0%,100%,.75)
}
.status-bar-field: first-of-type{
border-left: none
}
.status-bar-field: last-of-type{
border-right: none
}
button{
-webkit-font-smoothing: antialiased;
box-sizing: border-box;
border: 1px solid #003c74;
background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
box-shadow: none;
border-radius: 3px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: none;
background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
}
button: not(: disabled): hover{
box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
}
button.focused,button: focus{
box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
}
button: :-moz-focus-inner{
border: 0
}
input,label,option,select,textarea{
-webkit-font-smoothing: antialiased
}
input[type=radio]{
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
margin: 0;
background: 0;
position: fixed;
opacity: 0;
border: none
}
input[type=radio]+label{
line-height: 16px
}
input[type=radio]+label: before{
background: linear-gradient(135deg,#dcdcd7,#fff);
border-radius: 50%;
border: 1px solid #1d5281
}
input[type=radio]: not([disabled]): not(: active)+label: hover: before{
box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
}
input[type=radio]: active+label: before{
background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
}
input[type=radio]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
}
input[type=radio]: focus+label{
outline: 1px dotted #000
}
input[type=radio][disabled]+label: before{
border: 1px solid #cac8bb;
background: #fff
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
}
input[type=email],input[type=password],textarea: :selection{
background: #2267cb;
color: #fff
}
input[type=range]: :-webkit-slider-thumb{
height: 21px;
width: 11px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(-8px)
}
input[type=range]: :-moz-range-thumb{
height: 21px;
width: 11px;
border: 0;
border-radius: 0;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(2px)
}
input[type=range]: :-webkit-slider-runnable-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range]: :-moz-range-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
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}
input[type=range].has-box-indicator: :-moz-range-thumb{
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}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
fieldset{
box-shadow: none;
background: #fff;
border: 1px solid #d0d0bf;
border-radius: 4px;
padding-top: 10px
}
legend{
background: transparent;
color: #0046d5
}
.field-row{
display: flex;
align-items: center
}
.field-row>*+*{
margin-left: 6px
}
[class^=field-row]+[class^=field-row]{
margin-top: 6px
}
.field-row-stacked{
display: flex;
flex-direction: column
}
.field-row-stacked *+*{
margin-top: 6px
}
menu[role=tablist] button{
background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
margin-left: -1px;
margin-right: 2px;
border-radius: 0;
border-color: #91a7b4;
border-top-right-radius: 3px;
border-top-left-radius: 3px;
padding: 0 12px 3px
}
menu[role=tablist] button: hover{
box-shadow: unset;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c
}
menu[role=tablist] button[aria-selected=true]{
border-color: #919b9c;
margin-right: -1px;
border-bottom: 1px solid transparent;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c
}
menu[role=tablist] button[aria-selected=true]: first-of-type: before{
content: "";
display: block;
position: absolute;
z-index: -1;
top: 100%;
left: -1px;
height: 2px;
width: 0;
border-left: 1px solid #919b9c
}
[role=tabpanel]{
box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
}
ul.tree-view{
-webkit-font-smoothing: auto;
border: 1px solid #7f9db9;
padding: 2px 5px
}
@keyframes sliding{
0%{
transform: translateX(-30px)
}
to{
transform: translateX(100%)
}
}
progress{
box-sizing: border-box;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
height: 14px;
border: 1px solid #686868;
border-radius: 4px;
padding: 1px 2px 1px 0;
overflow: hidden;
background-color: #fff;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
-moz-box-shadow: inset 0 0 1px 0 #686868
}
progress,progress: not([value]){
box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]){
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
height: 14px
}
progress[value]: :-webkit-progress-bar{
background-color: transparent
}
progress[value]: :-webkit-progress-value{
border-radius: 2px;
background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress[value]: :-moz-progress-bar{
border-radius: 2px;
background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): :-webkit-progress-bar{
width: 100%;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
animation: sliding 2s linear 0s infinite
}
progress: not([value]): :-webkit-progress-bar: not([value]){
animation: sliding 2s linear 0s infinite;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]){
position: relative
}
progress: not([value]): before{
box-sizing: border-box;
content: "";
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background-color: #fff;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
-moz-box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): before,progress: not([value]): before: not([value]){
box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): before: not([value]){
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): after{
box-sizing: border-box;
content: "";
position: absolute;
top: 1px;
left: 2px;
width: 100%;
height: calc(100% - 2px);
padding: 1px 2px;
border-radius: 2px;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): after,progress: not([value]): after: not([value]){
animation: sliding 2s linear 0s infinite
}
progress: not([value]): after: not([value]){
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): :-moz-progress-bar{
width: 100%;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
animation: sliding 2s linear 0s infinite
}
progress: not([value]): :-moz-progress-bar: not([value]){
animation: sliding 2s linear 0s infinite;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
</style>
</head>
<body>
<script>
var log = console.log;
var theme = 'light';
var special_col_names = ["trial_index","arm_name","trial_status","generation_method","generation_node","hostname","run_time","start_time","exit_code","signal","end_time","program_string"]
var result_names = [
"ACCURACY",
"RUNTIME"
];
var result_min_max = [
"max",
"min"
];
var tab_results_headers_json = [
"trial_index",
"arm_name",
"trial_status",
"generation_method",
"generation_node",
"ACCURACY",
"RUNTIME",
"recent_samples_size",
"n_reference_samples",
"recent_samples_proportion",
"threshold"
];
var tab_results_csv_json = [
[
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],
[
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],
[
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30,
8,
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],
[
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30,
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],
[
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30,
7,
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],
[
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30,
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],
[
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30,
6,
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],
[
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30,
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],
[
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30,
5,
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],
[
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30,
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13
],
[
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30,
4,
13
],
[
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30,
3,
10
],
[
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30,
3,
10
],
[
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30,
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7
],
[
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30,
2,
7
],
[
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30,
1,
3
],
[
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30,
1,
3
],
[
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30,
0,
0
],
[
1742470934.4837058,
30,
0,
0
]
];
var tab_main_worker_cpu_ram_csv_json = [
[
1742404030,
592.78125,
0.2
],
[
1742404030,
592.78125,
1.5
],
[
1742404030,
592.78125,
0.7
],
[
1742404030,
592.78125,
0
],
[
1742404030,
592.78125,
0
],
[
1742404030,
592.78125,
1
],
[
1742404030,
592.78125,
0
],
[
1742404121,
606.2109375,
1.3
],
[
1742404121,
606.2109375,
3.5
],
[
1742404121,
606.2109375,
0.8
],
[
1742404121,
606.2109375,
3.8
],
[
1742406667,
673.56640625,
2.9
],
[
1742406667,
673.56640625,
2.7
],
[
1742406667,
673.56640625,
4.6
],
[
1742406667,
673.56640625,
5.4
],
[
1742408181,
675.43359375,
5.5
],
[
1742408181,
675.43359375,
2.5
],
[
1742408181,
675.43359375,
5.8
],
[
1742408181,
675.43359375,
5.9
],
[
1742411011,
689.11328125,
6.3
],
[
1742411011,
689.11328125,
7.7
],
[
1742411011,
689.11328125,
6.2
],
[
1742411011,
689.11328125,
7.4
],
[
1742414076,
703.265625,
6.4
],
[
1742414076,
703.265625,
5.3
],
[
1742414076,
703.265625,
5.3
],
[
1742414076,
703.265625,
5.4
],
[
1742418479,
699.10546875,
6.6
],
[
1742418479,
699.10546875,
6.2
],
[
1742418479,
699.10546875,
6.8
],
[
1742418479,
699.10546875,
6.6
],
[
1742423689,
740.2734375,
7
],
[
1742423689,
740.2734375,
7.8
],
[
1742423689,
740.2734375,
7.6
],
[
1742423689,
740.2734375,
11.6
],
[
1742431972,
767.03125,
7.3
],
[
1742431972,
767.03125,
6.5
],
[
1742431972,
767.28125,
6.5
],
[
1742431972,
767.28125,
9.3
],
[
1742437250,
812.609375,
7.5
],
[
1742437250,
812.609375,
6.8
],
[
1742437250,
812.609375,
7
],
[
1742437250,
812.609375,
7
],
[
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796.546875,
5.6
],
[
1742444930,
796.546875,
6.5
],
[
1742444930,
796.546875,
6.6
],
[
1742444930,
796.546875,
7
],
[
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784.20703125,
4.9
],
[
1742457527,
784.20703125,
3.1
],
[
1742457527,
784.20703125,
3.4
],
[
1742457527,
784.20703125,
5.1
],
[
1742470937,
778.75,
4.7
],
[
1742470937,
778.75,
3.9
],
[
1742470937,
778.75,
3.9
],
[
1742470937,
778.75,
2.6
]
];
var tab_main_worker_cpu_ram_headers_json = [
"timestamp",
"ram_usage_mb",
"cpu_usage_percent"
];
"use strict";
function add_default_layout_data (layout) {
layout["width"] = get_graph_width();
layout["height"] = get_graph_height();
layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
return layout;
}
function get_marker_size() {
return 12;
}
function get_text_color() {
return theme == "dark" ? "white" : "black";
}
function get_font_size() {
return 14;
}
function get_graph_height() {
return 800;
}
function get_font_data() {
return {
size: get_font_size(),
color: get_text_color()
}
}
function get_axis_title_data(name, axis_type = "") {
if(axis_type) {
return {
text: name,
type: axis_type,
font: get_font_data()
};
}
return {
text: name,
font: get_font_data()
};
}
function get_graph_width() {
var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
return Math.max(800, Math.floor(width * 0.9));
}
function createTable(data, headers, table_name) {
if (!$("#" + table_name).length) {
console.error("#" + table_name + " not found");
return;
}
new gridjs.Grid({
columns: headers,
data: data,
search: true,
sort: true,
ellipsis: false
}).render(document.getElementById(table_name));
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
colorize_table_entries();
add_colorize_to_gridjs_table();
}
function download_as_file(id, filename) {
var text = $("#" + id).text();
var blob = new Blob([text], {
type: "text/plain"
});
var link = document.createElement("a");
link.href = URL.createObjectURL(blob);
link.download = filename;
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
}
function copy_to_clipboard_from_id (id) {
var text = $("#" + id).text();
copy_to_clipboard(text);
}
function copy_to_clipboard(text) {
if (!navigator.clipboard) {
let textarea = document.createElement("textarea");
textarea.value = text;
document.body.appendChild(textarea);
textarea.select();
try {
document.execCommand("copy");
} catch (err) {
console.error("Copy failed:", err);
}
document.body.removeChild(textarea);
return;
}
navigator.clipboard.writeText(text).then(() => {
console.log("Text copied to clipboard");
}).catch(err => {
console.error("Failed to copy text:", err);
});
}
function filterNonEmptyRows(data) {
var new_data = [];
for (var row_idx = 0; row_idx < data.length; row_idx++) {
var line = data[row_idx];
var line_has_empty_data = false;
for (var col_idx = 0; col_idx < line.length; col_idx++) {
var col_header_name = tab_results_headers_json[col_idx];
var single_data_point = line[col_idx];
if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
line_has_empty_data = true;
continue;
}
}
if(!line_has_empty_data) {
new_data.push(line);
}
}
return new_data;
}
function make_text_in_parallel_plot_nicer() {
$(".parcoords g > g > text").each(function() {
if (theme == "dark") {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "white")
.css("stroke", "black")
.css("stroke-width", "2px")
.css("paint-order", "stroke fill");
} else {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "black")
.css("stroke", "unset")
.css("stroke-width", "unset")
.css("paint-order", "stroke fill");
}
});
}
function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
if ($("#parallel-plot").data("loaded") == "true") {
return;
}
dataArray = filterNonEmptyRows(dataArray);
const ignoreSet = new Set(ignoreColumns);
const numericalCols = [];
const categoricalCols = [];
const categoryMappings = {};
headers.forEach((header, colIndex) => {
if (ignoreSet.has(header)) return;
const values = dataArray.map(row => row[colIndex]);
if (values.every(val => !isNaN(parseFloat(val)))) {
numericalCols.push({ name: header, index: colIndex });
} else {
categoricalCols.push({ name: header, index: colIndex });
const uniqueValues = [...new Set(values)];
categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
}
});
const dimensions = [];
numericalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => parseFloat(row[col.index])),
range: [
Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
Math.max(...dataArray.map(row => parseFloat(row[col.index])))
]
});
});
categoricalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
tickvals: Object.values(categoryMappings[col.name]),
ticktext: Object.keys(categoryMappings[col.name])
});
});
let colorScale = null;
let colorValues = null;
if (resultNames.length > 1) {
let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
selectBox += '<option value="none">No color</option>';
var k = 0;
resultNames.forEach(resultName => {
var minMax = result_min_max[k];
if(minMax === undefined) {
minMax = "min [automatically chosen]"
}
selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
k = k + 1;
});
selectBox += '</select>';
$("#parallel-plot").before(selectBox);
$("#result-select").change(function() {
const selectedResult = $(this).val();
if (selectedResult === "none") {
colorValues = null;
colorScale = null;
} else {
const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
let minResult = Math.min(...colorValues);
let maxResult = Math.max(...colorValues);
var _result_min_max_idx = result_names.indexOf(selectedResult);
let invertColor = false;
if (result_min_max.length > _result_min_max_idx) {
invertColor = result_min_max[_result_min_max_idx] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
}
updatePlot();
});
} else {
let invertColor = false;
if (Object.keys(result_min_max).length == 1) {
invertColor = result_min_max[0] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
}
function updatePlot() {
const trace = {
type: 'parcoords',
dimensions: dimensions,
line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
unselected: {
line: {
color: get_text_color(),
opacity: 0
}
},
};
dimensions.forEach(dim => {
if (!dim.line) {
dim.line = {};
}
if (!dim.line.color) {
dim.line.color = 'rgba(169,169,169, 0.01)';
}
});
Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
make_text_in_parallel_plot_nicer();
}
updatePlot();
$("#parallel-plot").data("loaded", "true");
make_text_in_parallel_plot_nicer();
}
function plotWorkerUsage() {
if($("#workerUsagePlot").data("loaded") == "true") {
return;
}
var data = tab_worker_usage_csv_json;
if (!Array.isArray(data) || data.length === 0) {
console.error("Invalid or empty data provided.");
return;
}
let timestamps = [];
let desiredWorkers = [];
let realWorkers = [];
for (let i = 0; i < data.length; i++) {
let entry = data[i];
if (!Array.isArray(entry) || entry.length < 3) {
console.warn("Skipping invalid entry:", entry);
continue;
}
let unixTime = parseFloat(entry[0]);
let desired = parseInt(entry[1], 10);
let real = parseInt(entry[2], 10);
if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
console.warn("Skipping invalid numerical values:", entry);
continue;
}
timestamps.push(new Date(unixTime * 1000).toISOString());
desiredWorkers.push(desired);
realWorkers.push(real);
}
let trace1 = {
x: timestamps,
y: desiredWorkers,
mode: 'lines+markers',
name: 'Desired Workers',
line: {
color: 'blue'
}
};
let trace2 = {
x: timestamps,
y: realWorkers,
mode: 'lines+markers',
name: 'Real Workers',
line: {
color: 'red'
}
};
let layout = {
title: "Worker Usage Over Time",
xaxis: {
title: get_axis_title_data("Time", "date")
},
yaxis: {
title: get_axis_title_data("Number of Workers")
},
legend: {
x: 0,
y: 1
}
};
Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
$("#workerUsagePlot").data("loaded", "true");
}
function plotCPUAndRAMUsage() {
if($("#mainWorkerCPURAM").data("loaded") == "true") {
return;
}
var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
var trace1 = {
x: timestamps,
y: cpuUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'CPU Usage (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: ramUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'RAM Usage (MB)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'CPU and RAM Usage Over Time',
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
overlaying: 'y',
side: 'right',
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var data = [trace1, trace2];
Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
$("#mainWorkerCPURAM").data("loaded", "true");
}
function plotScatter2d() {
if ($("#plotScatter2d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter2d");
var minInput = document.getElementById("minValue");
var maxInput = document.getElementById("maxValue");
if (!minInput || !maxInput) {
minInput = document.createElement("input");
minInput.id = "minValue";
minInput.type = "number";
minInput.placeholder = "Min Value";
minInput.step = "any";
maxInput = document.createElement("input");
maxInput.id = "maxValue";
maxInput.type = "number";
maxInput.placeholder = "Max Value";
maxInput.step = "any";
var inputContainer = document.createElement("div");
inputContainer.style.marginBottom = "10px";
inputContainer.appendChild(minInput);
inputContainer.appendChild(maxInput);
plotDiv.appendChild(inputContainer);
}
var resultSelect = document.getElementById("resultSelect");
if (result_names.length > 1 && !resultSelect) {
resultSelect = document.createElement("select");
resultSelect.id = "resultSelect";
resultSelect.style.marginBottom = "10px";
var sortedResults = [...result_names].sort();
sortedResults.forEach(result => {
var option = document.createElement("option");
option.value = result;
option.textContent = result;
resultSelect.appendChild(option);
});
var selectContainer = document.createElement("div");
selectContainer.style.marginBottom = "10px";
selectContainer.appendChild(resultSelect);
plotDiv.appendChild(selectContainer);
}
minInput.addEventListener("input", updatePlots);
maxInput.addEventListener("input", updatePlots);
if (resultSelect) {
resultSelect.addEventListener("change", updatePlots);
}
updatePlots();
async function updatePlots() {
var minValue = parseFloat(minInput.value);
var maxValue = parseFloat(maxInput.value);
if (isNaN(minValue)) minValue = -Infinity;
if (isNaN(maxValue)) maxValue = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var selectedResult = resultSelect ? resultSelect.value : result_names[0];
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 2) {
console.error("Not enough columns for Scatter-Plots");
return;
}
for (let i = 0; i < numericColumns.length; i++) {
for (let j = i + 1; j < numericColumns.length; j++) {
let xCol = numericColumns[i];
let yCol = numericColumns[j];
let xIndex = tab_results_headers_json.indexOf(xCol);
let yIndex = tab_results_headers_json.indexOf(yCol);
let data = tab_results_csv_json.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
}));
data = data.filter(d => d.result >= minResult && d.result <= maxResult);
let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
let layout = {
title: layoutTitle,
xaxis: {
title: get_axis_title_data(xCol)
},
yaxis: {
title: get_axis_title_data(yCol)
},
showlegend: false
};
let subDiv = document.createElement("div");
let spinnerContainer = document.createElement("div");
spinnerContainer.style.display = "flex";
spinnerContainer.style.alignItems = "center";
spinnerContainer.style.justifyContent = "center";
spinnerContainer.style.width = layout.width + "px";
spinnerContainer.style.height = layout.height + "px";
spinnerContainer.style.position = "relative";
let spinner = document.createElement("div");
spinner.className = "spinner";
spinner.style.width = "40px";
spinner.style.height = "40px";
let loadingText = document.createElement("span");
loadingText.innerText = `Loading ${layoutTitle}`;
loadingText.style.marginLeft = "10px";
spinnerContainer.appendChild(spinner);
spinnerContainer.appendChild(loadingText);
plotDiv.appendChild(spinnerContainer);
await new Promise(resolve => setTimeout(resolve, 50));
let colors = data.map(d => {
if (d.result === null) {
return 'rgb(0, 0, 0)';
} else {
let norm = (d.result - minResult) / (maxResult - minResult);
if (invertColor) {
norm = 1 - norm;
}
return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
}
});
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
mode: 'markers',
marker: {
size: get_marker_size(),
color: data.map(d => d.result !== null ? d.result : null),
colorscale: invertColor ? [
[0, 'red'],
[1, 'green']
] : [
[0, 'green'],
[1, 'red']
],
colorbar: {
title: 'Result',
tickvals: [minResult, maxResult],
ticktext: [`${minResult}`, `${maxResult}`]
},
symbol: data.map(d => d.result === null ? 'x' : 'circle'),
},
text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
type: 'scatter',
showlegend: false
};
try {
plotDiv.replaceChild(subDiv, spinnerContainer);
} catch (err) {
//
}
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
}
$("#plotScatter2d").data("loaded", "true");
}
function plotScatter3d() {
if ($("#plotScatter3d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter3d");
if (!plotDiv) {
console.error("Div element with id 'plotScatter3d' not found");
return;
}
plotDiv.innerHTML = "";
var minInput3d = document.getElementById("minValue3d");
var maxInput3d = document.getElementById("maxValue3d");
if (!minInput3d || !maxInput3d) {
minInput3d = document.createElement("input");
minInput3d.id = "minValue3d";
minInput3d.type = "number";
minInput3d.placeholder = "Min Value";
minInput3d.step = "any";
maxInput3d = document.createElement("input");
maxInput3d.id = "maxValue3d";
maxInput3d.type = "number";
maxInput3d.placeholder = "Max Value";
maxInput3d.step = "any";
var inputContainer3d = document.createElement("div");
inputContainer3d.style.marginBottom = "10px";
inputContainer3d.appendChild(minInput3d);
inputContainer3d.appendChild(maxInput3d);
plotDiv.appendChild(inputContainer3d);
}
var select3d = document.getElementById("select3dScatter");
if (result_names.length > 1 && !select3d) {
if (!select3d) {
select3d = document.createElement("select");
select3d.id = "select3dScatter";
select3d.style.marginBottom = "10px";
select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
select3d.addEventListener("change", updatePlots3d);
plotDiv.appendChild(select3d);
}
}
minInput3d.addEventListener("input", updatePlots3d);
maxInput3d.addEventListener("input", updatePlots3d);
updatePlots3d();
async function updatePlots3d() {
var selectedResult = select3d ? select3d.value : result_names[0];
var minValue3d = parseFloat(minInput3d.value);
var maxValue3d = parseFloat(maxInput3d.value);
if (isNaN(minValue3d)) minValue3d = -Infinity;
if (isNaN(maxValue3d)) maxValue3d = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 3) {
console.error("Not enough columns for 3D scatter plots");
return;
}
for (let i = 0; i < numericColumns.length; i++) {
for (let j = i + 1; j < numericColumns.length; j++) {
for (let k = j + 1; k < numericColumns.length; k++) {
let xCol = numericColumns[i];
let yCol = numericColumns[j];
let zCol = numericColumns[k];
let xIndex = tab_results_headers_json.indexOf(xCol);
let yIndex = tab_results_headers_json.indexOf(yCol);
let zIndex = tab_results_headers_json.indexOf(zCol);
let data = tab_results_csv_json.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
z: parseFloat(row[zIndex]),
result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
}));
data = data.filter(d => d.result >= minResult && d.result <= maxResult);
let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
let layout = {
title: layoutTitle,
scene: {
xaxis: {
title: get_axis_title_data(xCol)
},
yaxis: {
title: get_axis_title_data(yCol)
},
zaxis: {
title: get_axis_title_data(zCol)
}
},
showlegend: false
};
let spinnerContainer = document.createElement("div");
spinnerContainer.style.display = "flex";
spinnerContainer.style.alignItems = "center";
spinnerContainer.style.justifyContent = "center";
spinnerContainer.style.width = layout.width + "px";
spinnerContainer.style.height = layout.height + "px";
spinnerContainer.style.position = "relative";
let spinner = document.createElement("div");
spinner.className = "spinner";
spinner.style.width = "40px";
spinner.style.height = "40px";
let loadingText = document.createElement("span");
loadingText.innerText = `Loading ${layoutTitle}`;
loadingText.style.marginLeft = "10px";
spinnerContainer.appendChild(spinner);
spinnerContainer.appendChild(loadingText);
plotDiv.appendChild(spinnerContainer);
await new Promise(resolve => setTimeout(resolve, 50));
let colors = data.map(d => {
if (d.result === null) {
return 'rgb(0, 0, 0)';
} else {
let norm = (d.result - minResult) / (maxResult - minResult);
if (invertColor) {
norm = 1 - norm;
}
return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
}
});
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
z: data.map(d => d.z),
mode: 'markers',
marker: {
size: get_marker_size(),
color: data.map(d => d.result !== null ? d.result : null),
colorscale: invertColor ? [
[0, 'red'],
[1, 'green']
] : [
[0, 'green'],
[1, 'red']
],
colorbar: {
title: 'Result',
tickvals: [minResult, maxResult],
ticktext: [`${minResult}`, `${maxResult}`]
},
},
text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
type: 'scatter3d',
showlegend: false
};
let subDiv = document.createElement("div");
try {
plotDiv.replaceChild(subDiv, spinnerContainer);
} catch (err) {
//
}
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
}
}
$("#plotScatter3d").data("loaded", "true");
}
async function load_pareto_graph() {
if($("#tab_pareto_fronts").data("loaded") == "true") {
return;
}
var data = pareto_front_data;
if (!data || typeof data !== "object") {
console.error("Invalid data format for pareto_front_data");
return;
}
if (!Object.keys(data).length) {
console.warn("No data found in pareto_front_data");
return;
}
let categories = Object.keys(data);
let allMetrics = new Set();
function extractMetrics(obj, prefix = "") {
let keys = Object.keys(obj);
for (let key of keys) {
let newPrefix = prefix ? `${prefix} -> ${key}` : key;
if (typeof obj[key] === "object" && !Array.isArray(obj[key])) {
extractMetrics(obj[key], newPrefix);
} else {
if (!newPrefix.includes("param_dicts") && !newPrefix.includes(" -> sems -> ") && !newPrefix.includes("absolute_metrics")) {
allMetrics.add(newPrefix);
}
}
}
}
for (let cat of categories) {
extractMetrics(data[cat]);
}
allMetrics = Array.from(allMetrics);
function extractValues(obj, metricPath, values) {
let parts = metricPath.split(" -> ");
let data = obj;
for (let part of parts) {
if (data && typeof data === "object") {
data = data[part];
} else {
return;
}
}
if (Array.isArray(data)) {
values.push(...data);
}
}
let graphContainer = document.getElementById("pareto_front_graphs_container");
graphContainer.classList.add("invert_in_dark_mode");
graphContainer.innerHTML = "";
var already_plotted = [];
for (let i = 0; i < allMetrics.length; i++) {
for (let j = i + 1; j < allMetrics.length; j++) {
let xMetric = allMetrics[i];
let yMetric = allMetrics[j];
let xValues = [];
let yValues = [];
for (let cat of categories) {
let metricData = data[cat];
extractValues(metricData, xMetric, xValues);
extractValues(metricData, yMetric, yValues);
}
xValues = xValues.filter(v => v !== undefined && v !== null);
yValues = yValues.filter(v => v !== undefined && v !== null);
let cleanXMetric = xMetric.replace(/.* -> /g, "");
let cleanYMetric = yMetric.replace(/.* -> /g, "");
let plot_key = `${cleanXMetric}-${cleanYMetric}`;
if (xValues.length > 0 && yValues.length > 0 && xValues.length === yValues.length && !already_plotted.includes(plot_key)) {
let div = document.createElement("div");
div.id = `pareto_front_graph_${i}_${j}`;
div.style.marginBottom = "20px";
graphContainer.appendChild(div);
let layout = {
title: `${cleanXMetric} vs ${cleanYMetric}`,
xaxis: {
title: get_axis_title_data(cleanXMetric)
},
yaxis: {
title: get_axis_title_data(cleanYMetric)
},
hovermode: "closest"
};
let trace = {
x: xValues,
y: yValues,
mode: "markers",
marker: {
size: get_marker_size(),
},
type: "scatter",
name: `${cleanXMetric} vs ${cleanYMetric}`
};
Plotly.newPlot(div.id, [trace], add_default_layout_data(layout));
already_plotted.push(plot_key);
}
}
}
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
$("#tab_pareto_fronts").data("loaded", "true");
}
async function plot_worker_cpu_ram() {
if($("#worker_cpu_ram_pre").data("loaded") == "true") {
return;
}
const logData = $("#worker_cpu_ram_pre").text();
const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
const hostData = {};
logData.split("\n").forEach(line => {
line = line.trim();
const match = line.match(regex);
if (match) {
const timestamp = new Date(parseInt(match[1]) * 1000);
const hostname = match[2];
const cpu = parseFloat(match[3]);
const ram = parseFloat(match[4]);
if (!hostData[hostname]) {
hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
}
hostData[hostname].timestamps.push(timestamp);
hostData[hostname].cpuUsage.push(cpu);
hostData[hostname].ramUsage.push(ram);
}
});
if (!Object.keys(hostData).length) {
console.log("No valid data found");
return;
}
const container = document.getElementById("cpuRamWorkerChartContainer");
container.innerHTML = "";
var i = 1;
Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
const chartId = `workerChart_${index}`;
const chartDiv = document.createElement("div");
chartDiv.id = chartId;
chartDiv.style.marginBottom = "40px";
container.appendChild(chartDiv);
const cpuTrace = {
x: timestamps,
y: cpuUsage,
mode: "lines+markers",
name: "CPU Usage (%)",
yaxis: "y1",
line: {
color: "red"
}
};
const ramTrace = {
x: timestamps,
y: ramUsage,
mode: "lines+markers",
name: "RAM Usage (MB)",
yaxis: "y2",
line: {
color: "blue"
}
};
const layout = {
title: `Worker CPU and RAM Usage - ${hostname}`,
xaxis: {
title: get_axis_title_data("Timestamp", "date")
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
side: "left",
color: "red"
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
side: "right",
overlaying: "y",
color: "blue"
},
showlegend: true
};
Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
i++;
});
$("#plot_worker_cpu_ram_button").remove();
$("#worker_cpu_ram_pre").data("loaded", "true");
}
function load_log_file(log_nr, filename) {
var pre_id = `single_run_${log_nr}_pre`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
fetch(url)
.then(response => response.json())
.then(data => {
if (data.data) {
$("#" + pre_id).html(data.data);
$("#" + pre_id).data("loaded", true);
} else {
log(`No 'data' key found in response.`);
}
$("#spinner_log_" + log_nr).remove();
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#spinner_log_" + log_nr).remove();
});
}
}
function load_debug_log () {
var pre_id = `here_debuglogs_go`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
fetch(url)
.then(response => response.json())
.then(data => {
$("#debug_log_spinner").remove();
if (data.data) {
try {
$("#" + pre_id).html(data.data);
} catch (err) {
$("#" + pre_id).text(`Error loading data: ${err}`);
}
$("#" + pre_id).data("loaded", true);
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
} else {
log(`No 'data' key found in response.`);
}
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#debug_log_spinner").remove();
});
}
}
function plotBoxplot() {
if ($("#plotBoxplot").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough numeric columns for Boxplot");
return;
}
var resultIndex = tab_results_headers_json.findIndex(function(header) {
return result_names.includes(header.toLowerCase());
});
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
var plotDiv = document.getElementById("plotBoxplot");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'box',
name: col,
boxmean: 'sd',
marker: {
color: 'rgb(0, 255, 0)'
},
};
});
let layout = {
title: 'Boxplot of Numerical Columns',
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Value")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotBoxplot").data("loaded", "true");
}
function plotHeatmap() {
if ($("#plotHeatmap").data("loaded") === "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col => {
if (special_col_names.includes(col) || result_names.includes(col)) {
return false;
}
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.every(row => {
let value = parseFloat(row[index]);
return !isNaN(value) && isFinite(value);
});
});
if (numericColumns.length < 2) {
console.error("Not enough valid numeric columns for Heatmap");
return;
}
var columnData = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.map(row => parseFloat(row[index]));
});
var dataMatrix = numericColumns.map((_, i) =>
numericColumns.map((_, j) => {
let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
return values.reduce((a, b) => a + b, 0) / values.length;
})
);
var trace = {
z: dataMatrix,
x: numericColumns,
y: numericColumns,
colorscale: 'Viridis',
type: 'heatmap'
};
var layout = {
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
var plotDiv = document.getElementById("plotHeatmap");
plotDiv.innerHTML = "";
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotHeatmap").data("loaded", "true");
}
function plotHistogram() {
if ($("#plotHistogram").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Histogram");
return;
}
var plotDiv = document.getElementById("plotHistogram");
plotDiv.innerHTML = "";
const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
let traces = numericColumns.map((col, index) => {
let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
return {
x: data,
type: 'histogram',
name: col,
opacity: 0.7,
marker: {
color: colorPalette[index % colorPalette.length]
},
autobinx: true
};
});
let layout = {
title: 'Histogram of Numerical Columns',
xaxis: {
title: get_axis_title_data("Value")
},
yaxis: {
title: get_axis_title_data("Frequency")
},
showlegend: true,
barmode: 'overlay'
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotHistogram").data("loaded", "true");
}
function plotViolin() {
if ($("#plotViolin").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Violin Plot");
return;
}
var plotDiv = document.getElementById("plotViolin");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'violin',
name: col,
box: {
visible: true
},
line: {
color: 'rgb(0, 255, 0)'
},
marker: {
color: 'rgb(0, 255, 0)'
},
meanline: {
visible: true
},
};
});
let layout = {
title: 'Violin Plot of Numerical Columns',
yaxis: {
title: get_axis_title_data("Value")
},
xaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotViolin").data("loaded", "true");
}
function plotExitCodesPieChart() {
if ($("#plotExitCodesPieChart").data("loaded") == "true") {
return;
}
var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
counts[exitCode] = (counts[exitCode] || 0) + 1;
return counts;
}, {});
var labels = Object.keys(exitCodeCounts);
var values = Object.values(exitCodeCounts);
var plotDiv = document.getElementById("plotExitCodesPieChart");
plotDiv.innerHTML = "";
var trace = {
labels: labels,
values: values,
type: 'pie',
hoverinfo: 'label+percent',
textinfo: 'label+value',
marker: {
colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
}
};
var layout = {
title: 'Exit Code Distribution',
showlegend: true
};
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotExitCodesPieChart").data("loaded", "true");
}
function plotResultEvolution() {
if ($("#plotResultEvolution").data("loaded") == "true") {
return;
}
result_names.forEach(resultName => {
var relevantColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
);
var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
var resultIndex = tab_results_headers_json.indexOf(resultName);
let data = tab_results_csv_json.map(row => ({
x: row[xColumnIndex],
y: parseFloat(row[resultIndex])
}));
data.sort((a, b) => a.x - b.x);
let xData = data.map(item => item.x);
let yData = data.map(item => item.y);
let trace = {
x: xData,
y: yData,
mode: 'lines+markers',
name: resultName,
line: {
shape: 'linear'
},
marker: {
size: get_marker_size()
}
};
let layout = {
title: `Evolution of ${resultName} over time`,
xaxis: {
title: get_axis_title_data("Trial-Index")
},
yaxis: {
title: get_axis_title_data(resultName)
},
showlegend: true
};
let subDiv = document.createElement("div");
document.getElementById("plotResultEvolution").appendChild(subDiv);
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
});
$("#plotResultEvolution").data("loaded", "true");
}
function plotResultPairs() {
if ($("#plotResultPairs").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotResultPairs");
plotDiv.innerHTML = "";
for (let i = 0; i < result_names.length; i++) {
for (let j = i + 1; j < result_names.length; j++) {
let xName = result_names[i];
let yName = result_names[j];
let xIndex = tab_results_headers_json.indexOf(xName);
let yIndex = tab_results_headers_json.indexOf(yName);
let data = tab_results_csv_json
.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
status: row[tab_results_headers_json.indexOf("trial_status")]
}));
let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
mode: 'markers',
marker: {
size: get_marker_size(),
color: colors
},
text: data.map(d => `Status: ${d.status}`),
type: 'scatter',
showlegend: false
};
let layout = {
xaxis: {
title: get_axis_title_data(xName)
},
yaxis: {
title: get_axis_title_data(yName)
},
showlegend: false
};
let subDiv = document.createElement("div");
plotDiv.appendChild(subDiv);
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
$("#plotResultPairs").data("loaded", "true");
}
function add_up_down_arrows_for_scrolling () {
const upArrow = document.createElement('div');
const downArrow = document.createElement('div');
const style = document.createElement('style');
style.innerHTML = `
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position: fixed;
right: 10px;
z-index: 100;
cursor: pointer;
font-size: 25px;
display: none;
background-color: green;
color: white;
padding: 5px;
outline: 2px solid white;
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transition: background-color 0.3s, transform 0.3s;
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background-color: darkgreen;
transform: scale(1.1);
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top: 10px;
}
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upArrow.id = "up-arrow";
upArrow.classList.add("scroll-arrow");
upArrow.classList.add("invert_in_dark_mode");
upArrow.innerHTML = "↑";
downArrow.id = "down-arrow";
downArrow.classList.add("scroll-arrow");
downArrow.classList.add("invert_in_dark_mode");
downArrow.innerHTML = "↓";
document.body.appendChild(upArrow);
document.body.appendChild(downArrow);
function checkScrollPosition() {
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downArrow.style.display = "none";
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window.addEventListener("scroll", checkScrollPosition);
upArrow.addEventListener("click", function () {
window.scrollTo({ top: 0, behavior: 'smooth' });
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downArrow.addEventListener("click", function () {
window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
});
checkScrollPosition();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
function plotGPUUsage() {
if ($("#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));
$("#plotJobStatusDistribution").data("loaded", "true");
}
function _colorize_table_entries_by_generation_method () {
document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
let color = el.textContent.includes("Manual") ? "green" :
el.textContent.includes("Sobol") ? "orange" :
el.textContent.includes("SAASBO") ? "pink" :
el.textContent.includes("Uniform") ? "lightblue" :
el.textContent.includes("Legacy_GPEI") ? "Sienna" :
el.textContent.includes("BO_MIXED") ? "Aqua" :
el.textContent.includes("RANDOMFOREST") ? "DarkSeaGreen" :
el.textContent.includes("EXTERNAL_GENERATOR") ? "Purple" :
el.textContent.includes("BoTorch") ? "yellow" : "";
if (color) el.style.backgroundColor = color;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_trial_status () {
document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
el.textContent.includes("RUNNING") ? "orange" :
el.textContent.includes("FAILED") ? "red" : "";
if (color) el.style.backgroundColor = color;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_run_time() {
let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
if (values.length === 0) return;
let min = Math.min(...values);
let max = Math.max(...values);
let range = max - min || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value)) return;
let ratio = (value - min) / range;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_results() {
result_names.forEach((name, index) => {
let minMax = result_min_max[index];
let selector_query = `[data-column-id="${name}"]`;
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let logRange = logMax - logMin || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value) || value <= 0) return;
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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");
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searchInput.addEventListener("input", colorize_table_entries);
}
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const windowWidth = window.innerWidth;
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make_text_in_parallel_plot_nicer();
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$(document).ready(function() {
colorize_table_entries();;
plotWorkerUsage();;
plotCPUAndRAMUsage();;
createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
plotScatter2d();;
plotScatter3d();
plotJobStatusDistribution();;
plotBoxplot();;
plotViolin();;
plotHistogram();;
plotHeatmap();;
plotResultPairs();;
plotResultEvolution();
colorize_table_entries();
});
</script>
<h1> Overview</h1>
<h2>Experiment overview: </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Model for non-random steps</td><td>BOTORCH_MODULAR </td></tr><tr><td> Max. nr. evaluations</td><td>500 </td></tr><tr><td> Number random steps</td><td>20 </td></tr><tr><td> Nr. of workers (parameter)</td><td>30 </td></tr><tr><td> Main process memory (GB)</td><td>8 </td></tr><tr><td> Worker memory (GB)</td><td>32 </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_reference_samples</td><td>range</td><td>50</td><td>500</td><td>int</td><td>No </td></tr><tr><td> recent_samples_proportion</td><td>range</td><td>0.1</td><td>1</td><td>float</td><td>No </td></tr><tr><td> threshold</td><td>range</td><td>0.5</td><td>0.8</td><td>float</td><td>No </td></tr></tbody></table><br><h2>Number of evaluations:</h2>
<table>
<tbody>
<tr>
<th>Failed</th>
<th>Succeeded</th>
<th>Running</th>
<th>Total</th>
</tr>
<tr>
<td>0</td>
<td>356</td>
<td>4</td>
<td>360</td>
</tr>
</tbody>
</table>
<h2>Result names and types:</h2>
<br><table>
<tr><th>name</th><th>min/max</th></tr>
<tr>
<td>ACCURACY</td>
<td>max</td>
</tr>
<tr>
<td>RUNTIME</td>
<td>min</td>
</tr>
</table><br>
<h1> 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_reference_samples,recent_samples_proportion,threshold
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.736307939847762882301651643502,2.183224678039550781250000000000,2064,152,0.518407869338989302221420985006,0.655441236495971635278579014994
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.745528807475710153518377865112,8.687381505966186523437500000000,1604,302,0.876934246439486697610732335306,0.649990846682339862283583897806
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.743796026981867641758583431510,9.968394041061401367187500000000,687,167,0.303791355900466464312614789378,0.731414867192506812365593305003
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.743300946840769860557429637993,6.435246467590332031250000000000,3236,486,0.613425990380346730646010655619,0.572820783685892842562736859691
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.739216535676712638291974144522,22.193288564682006835937500000000,3931,221,0.952232261374592825475815516256,0.508507065661251589361313563131
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.727272727272727292913145902276,1.725847244262695312500000000000,477,423,0.414930002391338370593132367503,0.795426039863377898342378102825
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.730738288260412205410432306962,37.955897092819213867187500000000,1307,95,0.763100590091198682785034179688,0.582761756330728575292710047506
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.746704622810817508771208395046,6.031735420227050781250000000000,2858,354,0.182186906691640615463256835938,0.722387258242815799569314094697
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.745157497369886789861936904344,6.624246358871459960937500000000,2547,203,0.707564480137079954147338867188,0.769997640885412781841523610638
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.744167337087691116437326854793,7.300962209701538085937500000000,1121,448,0.125218282546848053149446400312,0.534274097997695207595825195312
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.746642737793180244487700747413,4.007841587066650390625000000000,173,134,0.895043924078345320971550336253,0.696545749902725219726562500000
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.744476762175877215810260167927,13.332512140274047851562500000000,3750,323,0.359613632410764716418327680003,0.608850389998406127389785069681
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.720341605297357467918573092902,45.140877485275268554687500000000,3416,71,0.246713726781308650970458984375,0.618959903158247448651252398122
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.743734141964230488497378246393,5.912884712219238281250000000000,992,376,0.557998885400593280792236328125,0.686152028758078902370698415325
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.739773500835447683776635585673,22.397147893905639648437500000000,1790,255,0.463200505170971221780007454072,0.542621776461601257324218750000
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.734389504301008688713636729517,1.388938188552856445312500000000,2375,391,0.819636904168874025344848632812,0.761348554771393626339204274700
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.748932483445757801732156622165,4.514317750930786132812500000000,2388,271,0.132036544196307670251400168127,0.587967881001532077789306640625
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.737236215112321291442754045420,4.158936977386474609375000000000,1960,403,0.672634694911539599004868250631,0.706590041238814636770371180319
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.729067392784206957934145520994,32.837114810943603515625000000000,761,59,0.352809050027281023709235796559,0.512657469511032082287727007497
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.736307939847762882301651643502,1.970766067504882812500000000000,3340,360,0.929987388569861628262458452809,0.783116406481713100973252039694
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.733028033912989651632585719199,73.840288877487182617187500000000,3515,118,0.593821108620613880013650032197,0.735501920618116922234719368134
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.731419023454421668439806580864,2.044820308685302734375000000000,93,310,0.239030090626329183578491210938,0.560555374342948220522941937816
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.742187016523299658565804293175,12.457314968109130859375000000000,1138,215,0.783828467503190018383918413747,0.660747656226158164294304242503
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.748251748251748227680479885748,4.048747539520263671875000000000,2721,464,0.470897927880287170410156250000,0.634113106410950422286987304688
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.731047713348598304783365620096,25.862130165100097656250000000000,2903,79,0.841112090274691581726074218750,0.549006642587482884820815343119
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.743610371928955959930362951127,4.816474676132202148437500000000,1446,342,0.526091573387384436877312055003,0.746730079222470588540261360322
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.747942323163562128307546572614,3.445949554443359375000000000000,277,233,0.649234467279166005404533734691,0.621931565552949927599968305003
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.747199702951915289972362188564,10.086159706115722656250000000000,3823,439,0.296093973424285672457756390941,0.672663653921335980001572352194
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.741073086205829567596481410874,13.642836093902587890625000000000,3032,183,0.408111700508743568960312586569,0.699472372420132160186767578125
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.745714462528621835346598345495,3.154695749282836914062500000000,576,498,0.987162006366997912820693272806,0.595424549747258446963371625316
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.746828392846091926315921227797,7.969994544982910156250000000000,2605,239,0.115506559995414800900981333598,0.644631127210884891098885418614
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.748746828392846119903936141782,6.711926460266113281250000000000,2603,240,0.681063401282413827253492399905,0.645745786428713275384438929905
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.745714462528621835346598345495,5.551334619522094726562500000000,2445,218,0.100000000000000005551115123126,0.667414626808967681448336861649
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.743362831858407124840937285626,7.087778091430664062500000000000,2707,259,0.100000000000000005551115123126,0.633121899126984244432492232590
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.720465375332631996485588388168,1.207046270370483398437500000000,10,315,0.142901963482320037979178550813,0.698360800207266874117806310096
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.747137817934278136711157003447,8.236652851104736328125000000000,2797,230,0.100000000000000005551115123126,0.609439202833985116392057079793
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.745652577510984571063090697862,5.931980609893798828125000000000,2715,257,1.000000000000000000000000000000,0.630593838515440041625481626397
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.748375518287022756247495181015,5.543367385864257812500000000000,2511,256,0.100000000000000005551115123126,0.683186750806577980377198855422
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.722817006002846706991249448038,0.949705600738525390625000000000,10,447,0.100000000000000005551115123126,0.618119559117538464043661861069
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.714648183674732373482640923612,1.038052558898925781250000000000,10,500,0.100000000000000005551115123126,0.660596922877092929127229581354
40,40_0,RUNNING,BoTorch,GenerationStep_1,,,10,205,1.000000000000000000000000000000,0.794492356511261155205261275114
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.748313633269385491963987533381,6.777904987335205078125000000000,1297,500,0.183230660295289088379533382067,0.669526526936858878968905628426
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.734884584442106580937092985550,1.090355396270751953125000000000,10,326,0.920756662829941507908415587735,0.703284794760824394366238720977
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.743362831858407124840937285626,7.977913856506347656250000000000,1790,500,1.000000000000000000000000000000,0.589240549242555644582353124861
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.728696082678383594277704560227,1.305122613906860351562500000000,10,284,0.613540007237881268586932037579,0.730896882090422472799673414556
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.733894424159910907512482935999,1.540418624877929687500000000000,3207,500,1.000000000000000000000000000000,0.800000000000000044408920985006
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.723807166285042380415859497589,1.022796392440795898437500000000,10,431,1.000000000000000000000000000000,0.572295585767773506979949615925
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.733213688965901333460806199582,1.304160118103027343750000000000,10,254,1.000000000000000000000000000000,0.800000000000000044408920985006
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.726901417166903929256704941508,3.337907314300537109375000000000,10,252,0.100000000000000005551115123126,0.632864767028821217920153685554
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.745838232563896252891311178246,4.647129058837890625000000000000,2589,258,1.000000000000000000000000000000,0.678752421035333841636827401089
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.716257194133300356675420061947,1.144540786743164062500000000000,10,492,0.100000000000000005551115123126,0.500000000000000000000000000000
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.729253047837118639762366001378,3.682813167572021484375000000000,10,50,0.100000000000000005551115123126,0.800000000000000044408920985006
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.743362831858407124840937285626,9.148422479629516601562500000000,2777,206,0.100000000000000005551115123126,0.589700422650116351519500312861
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.743362831858407124840937285626,7.715135097503662109375000000000,2717,256,0.489112625863290406691419320850,0.632372917534441914000353790470
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.723250201126307334931198056438,1.018053770065307617187500000000,10,424,1.000000000000000000000000000000,0.500000000000000000000000000000
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.715081378798193001422589532012,1.552335739135742187500000000000,10,323,0.100000000000000005551115123126,0.800000000000000044408920985006
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.745157497369886789861936904344,2.942462205886840820312500000000,2198,221,0.100000000000000005551115123126,0.708648710485052180096943175158
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.746642737793180244487700747413,3.498023986816406250000000000000,2200,272,0.100000000000000005551115123126,0.656463004013294715299764447991
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.737978835323968018755635966954,1.935891389846801757812500000000,1742,500,1.000000000000000000000000000000,0.800000000000000044408920985006
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.748313633269385491963987533381,7.471195697784423828125000000000,2576,220,0.100000000000000005551115123126,0.642488881880514783873081796628
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.733337459001175862027821494848,4.783013820648193359375000000000,645,294,1.000000000000000000000000000000,0.638825809570262137526697188150
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.746457082740268562659480267030,7.068891525268554687500000000000,2180,83,0.100000000000000005551115123126,0.723251810799291350306816639204
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.745528807475710153518377865112,8.818787813186645507812500000000,1633,417,0.328502449531745566169149697089,0.697880995617388366625277740241
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.736369824865400035562856828619,1.976449728012084960937500000000,304,480,1.000000000000000000000000000000,0.621882268748546018777290100843
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.746209542669719616547752139013,3.392942667007446289062500000000,709,416,1.000000000000000000000000000000,0.584902148720357506483935594588
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.748004208181199281568751757732,2.738443136215209960937500000000,2403,500,0.100000000000000005551115123126,0.513645287978756082125642024039
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.743424716876044278102142470743,12.912328958511352539062500000000,2162,50,0.100000000000000005551115123126,0.500000000000000000000000000000
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.747880438145924864024038924981,6.855543136596679687500000000000,2085,50,0.100000000000000005551115123126,0.800000000000000044408920985006
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.744724302246426161921988295944,7.546589136123657226562500000000,3457,438,0.100000000000000005551115123126,0.800000000000000044408920985006
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.746457082740268562659480267030,5.550619363784790039062500000000,766,276,1.000000000000000000000000000000,0.599828902674461539312744662311
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.744662417228788897638480648311,5.252315282821655273437500000000,2953,500,0.100000000000000005551115123126,0.659351695220056766011396121030
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.745281267405161207406649737095,4.184517621994018554687500000000,887,500,1.000000000000000000000000000000,0.609478382542192775872536003590
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.730862058295686622955145139713,1.286099672317504882812500000000,881,500,1.000000000000000000000000000000,0.800000000000000044408920985006
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.747075932916640872427649355814,5.140978336334228515625000000000,624,355,1.000000000000000000000000000000,0.500000000000000000000000000000
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.742929636734946496900988677226,9.421009063720703125000000000000,2286,71,1.000000000000000000000000000000,0.800000000000000044408920985006
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.735441549600841626421754426701,2.943936824798583984375000000000,504,292,1.000000000000000000000000000000,0.636977499622613740903886991873
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.729005507766569693650637873361,1.373528957366943359375000000000,710,280,1.000000000000000000000000000000,0.800000000000000044408920985006
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.747632898075375917912310796964,6.581807136535644531250000000000,443,203,1.000000000000000000000000000000,0.661135337862145844312067310966
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.735070239495018262765313465934,1.969295263290405273437500000000,2218,500,0.100000000000000005551115123126,0.500000000000000000000000000000
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.747571013057738764651105611847,4.311360120773315429687500000000,2572,390,0.355368780319336940998198315356,0.541360166894989891517298019608
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.746271427687356880831259786646,6.876530647277832031250000000000,2231,104,1.000000000000000000000000000000,0.500000000000000000000000000000
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.738226375394516964867364094971,13.175046205520629882812500000000,2269,50,0.100000000000000005551115123126,0.800000000000000044408920985006
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.746828392846091926315921227797,77.427549123764038085937500000000,2943,500,0.100000000000000005551115123126,0.800000000000000044408920985006
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.745776347546259099630105993128,6.605385303497314453125000000000,3148,418,0.100000000000000005551115123126,0.800000000000000044408920985006
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.745528807475710153518377865112,12.408201456069946289062500000000,4000,352,0.408337468376263001967885202248,0.605207495056577338132797194703
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.748127978216473810135767052998,8.995258092880249023437500000000,1665,409,0.100000000000000005551115123126,0.800000000000000044408920985006
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.742682096664397550789260549209,5.720322132110595703125000000000,1546,428,1.000000000000000000000000000000,0.608698331006392368003332649096
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.742991521752583650162193862343,7.313158988952636718750000000000,3525,500,0.100000000000000005551115123126,0.706196251558395715619553811848
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.739154650659075485030768959405,13.734014987945556640625000000000,281,50,1.000000000000000000000000000000,0.676826691125228308010264299810
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.715700228974565311190758620796,103.923360347747802734375000000000,1889,50,1.000000000000000000000000000000,0.598616799437230673319731977244
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.743610371928955959930362951127,7.355760574340820312500000000000,3891,414,0.366879220330843691666444783550,0.800000000000000044408920985006
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.741320626276378513708209538891,8.861977100372314453125000000000,2407,135,0.686304345241082747186567303288,0.500000000000000000000000000000
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.731047713348598304783365620096,1.478384733200073242187500000000,3818,451,1.000000000000000000000000000000,0.792875541801024152910315478948
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.730614518225137676843417011696,27.411981105804443359375000000000,1040,87,0.196515552233419932282032505100,0.774589503955199876195081287733
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.748127978216473810135767052998,9.151727914810180664062500000000,3921,500,0.100000000000000005551115123126,0.643134576866101204117853740172
95,95_0,RUNNING,BoTorch,GenerationStep_1,,,896,84,0.751134286431583864107608405902,0.800000000000000044408920985006
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.747756668110650446479326092231,4.856577396392822265625000000000,270,168,1.000000000000000000000000000000,0.542542718861077077896482023789
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.730923943313323887238652787346,32.303490877151489257812500000000,1849,128,0.100000000000000005551115123126,0.773767811287812357079474168131
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.737731295253419183666210301453,3.191952466964721679687500000000,4000,500,1.000000000000000000000000000000,0.724493898729950847048542073026
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.744971842316975108033716423961,3.315420627593994140625000000000,3694,500,1.000000000000000000000000000000,0.698651471233876386612848818913
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.748870598428120537448648974532,6.171407461166381835937500000000,776,464,1.000000000000000000000000000000,0.500000000000000000000000000000
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.745343152422798471690157384728,10.873683452606201171875000000000,4000,401,0.100000000000000005551115123126,0.800000000000000044408920985006
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.730552633207500412559909364063,2.029278755187988281250000000000,2822,450,1.000000000000000000000000000000,0.742946739939670308672248211224
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.746085772634445199003039306263,8.040475130081176757812500000000,2416,152,1.000000000000000000000000000000,0.500000000000000000000000000000
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.736741134971223510241600251902,13.916342973709106445312500000000,533,88,0.100000000000000005551115123126,0.716071608090063538298863932141
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.744105452070053852153819207160,5.074169397354125976562500000000,319,163,1.000000000000000000000000000000,0.800000000000000044408920985006
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.733151803948264180199601014465,1.763571262359619140625000000000,3667,428,1.000000000000000000000000000000,0.800000000000000044408920985006
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.747323472987189818539377483830,3.638075828552246093750000000000,235,208,1.000000000000000000000000000000,0.500000000000000000000000000000
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.733584999071724697117247160350,2.772731542587280273437500000000,3742,399,0.465824734357301650788940605707,0.800000000000000044408920985006
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.747199702951915289972362188564,6.987059593200683593750000000000,356,152,0.418098202818398601010585480253,0.586150572685161574959522567951
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.743548486911318806669157766009,7.124074459075927734375000000000,2310,123,0.100000000000000005551115123126,0.500000000000000000000000000000
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.731171483383872722328078452847,36.262567281723022460937500000000,1529,108,0.100000000000000005551115123126,0.787335530276595862986255269789
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.743177176805495443012716805242,3.808005094528198242187500000000,173,250,1.000000000000000000000000000000,0.500000000000000000000000000000
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.743053406770220914445701509976,12.124515056610107421875000000000,3805,365,0.100000000000000005551115123126,0.800000000000000044408920985006
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.747756668110650446479326092231,12.204314947128295898437500000000,3854,432,0.100000000000000005551115123126,0.500000000000000000000000000000
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.737298100129958555726261693053,17.174033880233764648437500000000,591,65,1.000000000000000000000000000000,0.800000000000000044408920985006
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.745714462528621835346598345495,7.488593578338623046875000000000,834,364,0.204601025919120382834393012672,0.500000000000000000000000000000
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.740144810941271158455379008956,8.660166025161743164062500000000,425,127,0.100000000000000005551115123126,0.627846013861477092454776993691
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.748251748251748227680479885748,4.647240877151489257812500000000,735,500,0.574410043010757709325275754964,0.500000000000000000000000000000
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.733399344018813015289026679966,1.892958164215087890625000000000,4000,459,0.933732924545818243622363752365,0.800000000000000044408920985006
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.747199702951915289972362188564,3.821068286895751953125000000000,2444,332,0.100000000000000005551115123126,0.593760130024420407224283735559
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.732594838789529023692637110798,1.949542045593261718750000000000,3238,395,0.537060595457705902688871901773,0.796482276339019912292371827789
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.737298100129958555726261693053,1.826632738113403320312500000000,1335,454,1.000000000000000000000000000000,0.759340912913785026638890940376
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.748684943375208855620428494149,3.771660804748535156250000000000,2569,447,0.100000000000000005551115123126,0.500000000000000000000000000000
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.745714462528621835346598345495,3.437059879302978515625000000000,2603,500,0.100000000000000005551115123126,0.595453247181469413895626985322
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.745033727334612261294921609078,3.574683666229248046875000000000,2252,290,0.100000000000000005551115123126,0.800000000000000044408920985006
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.744786187264063315183193481062,10.294945001602172851562500000000,3041,306,0.100000000000000005551115123126,0.500000000000000000000000000000
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.740330465994182840283599489339,8.209368705749511718750000000000,925,269,0.100000000000000005551115123126,0.775900393757729012200741181005
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.747447243022464236084090316581,3.567324876785278320312500000000,2536,451,0.693669315962611610082433344360,0.500000000000000000000000000000
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.737916950306330865494430781837,1.671604394912719726562500000000,3758,500,1.000000000000000000000000000000,0.800000000000000044408920985006
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.748127978216473810135767052998,4.132918119430541992187500000000,2485,327,0.100000000000000005551115123126,0.500000000000000000000000000000
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.745838232563896252891311178246,4.295659065246582031250000000000,2663,418,0.100000000000000005551115123126,0.617148910719188981133243032673
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.746395197722631298375972619397,9.798187732696533203125000000000,3463,384,1.000000000000000000000000000000,0.500000000000000000000000000000
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.745157497369886789861936904344,5.558305740356445312500000000000,1093,500,0.100000000000000005551115123126,0.800000000000000044408920985006
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.743734141964230488497378246393,3.422290086746215820312500000000,2471,346,0.682322775953409510485414557479,0.616598287662781907592091101833
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.750912804010149148581376721268,7.974772930145263671875000000000,3123,432,0.100000000000000005551115123126,0.613369213307905503107519962214
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.740825546135280621484753282857,4.104442119598388671875000000000,1698,274,0.747562948141095473530981507793,0.800000000000000044408920985006
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.743300946840769860557429637993,10.489744663238525390625000000000,1734,375,1.000000000000000000000000000000,0.500000000000000000000000000000
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.747694783093013182195818444598,5.346828460693359375000000000000,472,239,0.100000000000000005551115123126,0.800000000000000044408920985006
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.734637044371557634825364857534,1.248261213302612304687500000000,1336,415,1.000000000000000000000000000000,0.800000000000000044408920985006
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.733832539142273643228975288366,1.811891794204711914062500000000,2547,352,1.000000000000000000000000000000,0.662883980916453841025770543638
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.743362831858407124840937285626,11.415911197662353515625000000000,913,187,1.000000000000000000000000000000,0.500000000000000000000000000000
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.744043567052416587870311559527,8.164391279220581054687500000000,3673,500,1.000000000000000000000000000000,0.500000000000000000000000000000
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.746890277863729190599428875430,4.822856664657592773437500000000,2366,181,1.000000000000000000000000000000,0.683403738315074504861001969402
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.746333312704994145114767434279,8.618905782699584960937500000000,2781,252,0.100000000000000005551115123126,0.800000000000000044408920985006
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.742867751717309232617481029592,14.871916055679321289062500000000,1781,352,0.100000000000000005551115123126,0.598747121218595745872903535201
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.735874744724302254361703035102,18.665063381195068359375000000000,1117,150,1.000000000000000000000000000000,0.500000000000000000000000000000
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.744043567052416587870311559527,15.854224443435668945312500000000,1520,277,0.100000000000000005551115123126,0.800000000000000044408920985006
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.743672256946593224213870598760,13.357019424438476562500000000000,3738,330,0.100000000000000005551115123126,0.500000000000000000000000000000
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.746457082740268562659480267030,4.311033487319946289062500000000,2585,408,1.000000000000000000000000000000,0.500000000000000000000000000000
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.729562472925304739135299314512,1.646525859832763671875000000000,2263,308,0.649702835616558505016371327656,0.751553534209445817104722209478
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.731666563524970614551534708880,1.464430570602416992187500000000,1753,344,1.000000000000000000000000000000,0.790678688895548265058721426612
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.747694783093013182195818444598,4.373811721801757812500000000000,2206,142,0.100000000000000005551115123126,0.649396025192932824232627808669
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.747014047899003608144141708181,5.053992986679077148437500000000,432,242,0.371414851254861955176522769762,0.518539728111135800325826039625
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.745095612352249525578429256711,4.238352298736572265625000000000,615,480,0.408540840774158697801254902515,0.598730497478769385644170597516
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.744909957299337843750208776328,6.328864574432373046875000000000,556,285,0.100000000000000005551115123126,0.655601098459196562906470262533
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.742620211646760286505752901576,9.207936525344848632812500000000,3355,412,0.100000000000000005551115123126,0.732067951088689938821119085333
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.746890277863729190599428875430,3.685358285903930664062500000000,558,426,0.467625035879469741484371070328,0.500000000000000000000000000000
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.741320626276378513708209538891,3.506933450698852539062500000000,492,332,0.445350988427553884374532344737,0.771927414091979957611044937948
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.731480908472058932723314228497,1.300581455230712890625000000000,2471,285,1.000000000000000000000000000000,0.800000000000000044408920985006
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.741939476452750823476378627674,7.336583852767944335937500000000,867,291,1.000000000000000000000000000000,0.500000000000000000000000000000
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.733028033912989651632585719199,1.022905349731445312500000000000,234,345,0.955727622311423163914412270969,0.800000000000000044408920985006
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.746952162881366454882936523063,6.178628683090209960937500000000,536,237,0.100000000000000005551115123126,0.689439476969329168021261011745
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.732347298718980188603211445297,1.422397851943969726562500000000,99,334,1.000000000000000000000000000000,0.578724362460181884770804572327
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.743734141964230488497378246393,2.571712017059326171875000000000,308,411,0.171197660771112342148470020220,0.500000000000000000000000000000
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.732780493842440705520857591182,1.027423143386840820312500000000,2086,328,1.000000000000000000000000000000,0.800000000000000044408920985006
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.734327619283371535452431544400,1.898241996765136718750000000000,664,500,0.573173905213251511092664713942,0.711943687478496012310813512158
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.746333312704994145114767434279,7.437020301818847656250000000000,752,289,0.470797211758464229092169262003,0.500000000000000000000000000000
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.746209542669719616547752139013,5.405806779861450195312500000000,538,277,0.100000000000000005551115123126,0.500000000000000000000000000000
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.747880438145924864024038924981,4.662485837936401367187500000000,805,500,0.100000000000000005551115123126,0.585558472736425916771452193643
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.746457082740268562659480267030,4.913915872573852539062500000000,2578,315,1.000000000000000000000000000000,0.500000000000000000000000000000
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.748808713410483273165141326899,5.065740823745727539062500000000,281,210,0.100000000000000005551115123126,0.500000000000000000000000000000
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.734327619283371535452431544400,1.995362758636474609375000000000,2640,299,0.672840166432513542282833896024,0.790132734247312895625725559512
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.736926790024135192069820732286,3.984994173049926757812500000000,3490,264,1.000000000000000000000000000000,0.719540459967451084821732365526
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.748437403304659909508700366132,4.555063009262084960937500000000,457,369,0.100000000000000005551115123126,0.599149560920241408545905414940
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.730552633207500412559909364063,1.260746240615844726562500000000,301,412,1.000000000000000000000000000000,0.705402243652485050340317229711
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.744167337087691116437326854793,5.904136657714843750000000000000,840,412,0.731196703116650970066814352322,0.500000000000000000000000000000
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.745962002599170781458326473512,5.952266931533813476562500000000,925,354,1.000000000000000000000000000000,0.565411757042408869011751448852
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.744538647193514480093767815561,5.744604349136352539062500000000,568,270,0.125434545740826464133022000169,0.572114654597391969481634532713
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.728943622748932429367130225728,2.031710386276245117187500000000,4000,293,1.000000000000000000000000000000,0.742883720725427187936418249592
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.746952162881366454882936523063,4.846801042556762695312500000000,2466,351,0.100000000000000005551115123126,0.800000000000000044408920985006
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.738968995606163803202548479021,3.089865684509277343750000000000,409,223,0.728035438225800191069936317945,0.767572352436558746902051098004
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.746890277863729190599428875430,3.565519094467163085937500000000,448,436,0.100000000000000005551115123126,0.707284568340927233265347240376
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.747571013057738764651105611847,6.085816383361816406250000000000,2367,177,0.448738805988256383994183806863,0.687116930713041029754606370261
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.727025187202178346801417774259,1.288736820220947265625000000000,30,249,1.000000000000000000000000000000,0.586574453405463880351078387321
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.725725601831796574003874411574,1.444747686386108398437500000000,24,182,0.589139268022315087947049505601,0.742071187590371716957804437698
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.746766507828454773054716042680,6.893637657165527343750000000000,3273,500,0.100000000000000005551115123126,0.631977398471462392670616736723
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.736864905006497927786313084653,2.397611141204833984375000000000,3529,334,1.000000000000000000000000000000,0.688381594432957544249518377910
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.732161643666068395752688502398,1.426753520965576171875000000000,3624,303,1.000000000000000000000000000000,0.800000000000000044408920985006
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.746333312704994145114767434279,3.875694513320922851562500000000,2677,500,1.000000000000000000000000000000,0.500000000000000000000000000000
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.743053406770220914445701509976,10.767284631729125976562500000000,1531,500,0.496785917745189320449128445034,0.500000000000000000000000000000
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.739959155888359476627158528572,7.945672750473022460937500000000,1569,500,0.100000000000000005551115123126,0.558390753208332979440342569433
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.733832539142273643228975288366,0.907146215438842773437500000000,10,457,1.000000000000000000000000000000,0.800000000000000044408920985006
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.750046413763227892701479504467,5.824539899826049804687500000000,3082,500,0.100000000000000005551115123126,0.500000000000000000000000000000
194,194_0,RUNNING,BoTorch,GenerationStep_1,,,4000,247,0.100000000000000005551115123126,0.687832456139463643829401462426
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.732842378860077969804365238815,1.533497095108032226562500000000,1984,433,1.000000000000000000000000000000,0.800000000000000044408920985006
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.748561173339934438075715661398,4.198185205459594726562500000000,183,127,1.000000000000000000000000000000,0.618417984189900016289698214678
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.723683396249767962871146664838,1.190914630889892578125000000000,2251,500,1.000000000000000000000000000000,0.695907352527174838385803923302
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.748561173339934438075715661398,9.189648389816284179687500000000,1837,466,0.100000000000000005551115123126,0.571391621765147572631349248695
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.746642737793180244487700747413,6.273688316345214843750000000000,930,220,1.000000000000000000000000000000,0.800000000000000044408920985006
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.741011201188192303312973763241,2.962178468704223632812500000000,2529,417,1.000000000000000000000000000000,0.602241390149755861926905708970
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.744848072281700579466701128695,5.576772928237915039062500000000,2898,406,0.391248426956507688867503702568,0.500000000000000000000000000000
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.737298100129958555726261693053,25.139543294906616210937500000000,1338,160,0.100000000000000005551115123126,0.615179789134131849159814464656
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.711739587845782506470015960076,2.056615352630615234375000000000,10,146,0.293487783626195153363624967824,0.772063106787775788042438307457
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.747509128040101500367597964214,4.014353275299072265625000000000,616,491,0.100000000000000005551115123126,0.500000000000000000000000000000
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.743672256946593224213870598760,3.070026636123657226562500000000,2251,345,0.100000000000000005551115123126,0.715799530901314873254648318834
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.739897270870722212343650880939,4.830780029296875000000000000000,3383,402,1.000000000000000000000000000000,0.614139689138636035714569061383
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.745838232563896252891311178246,12.100521802902221679687500000000,1662,500,1.000000000000000000000000000000,0.500000000000000000000000000000
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.737978835323968018755635966954,18.912549257278442382812500000000,1511,191,0.100000000000000005551115123126,0.646667075682613945453169890243
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.745157497369886789861936904344,6.903050422668457031250000000000,3043,338,1.000000000000000000000000000000,0.583982619375754019586111098761
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.746766507828454773054716042680,5.282370090484619140625000000000,299,217,1.000000000000000000000000000000,0.561485619855812689849017260713
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.737669410235781919382702653820,1.481028318405151367187500000000,3546,489,1.000000000000000000000000000000,0.754259069874067655803173693130
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.744105452070053852153819207160,8.664343595504760742187500000000,2451,163,1.000000000000000000000000000000,0.606597441618285548869948797801
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.746766507828454773054716042680,3.785945653915405273437500000000,389,375,0.100000000000000005551115123126,0.712598098599154683441270208277
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.746333312704994145114767434279,3.667917728424072265625000000000,323,287,0.680094391563868971850581601757,0.567248749723189948923618430854
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.747571013057738764651105611847,9.941710472106933593750000000000,4000,485,0.100000000000000005551115123126,0.717261478665195184589720156509
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.743796026981867641758583431510,6.802497148513793945312500000000,3110,455,1.000000000000000000000000000000,0.500000000000000000000000000000
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.736431709883037299846364476252,18.696664333343505859375000000000,4000,237,0.100000000000000005551115123126,0.800000000000000044408920985006
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.744786187264063315183193481062,3.313830375671386718750000000000,465,419,0.100000000000000005551115123126,0.560255059692759793676941626472
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.716009654062751410563691933930,93.111581325531005859375000000000,4000,50,0.100000000000000005551115123126,0.500000000000000000000000000000
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.735070239495018262765313465934,2.311625242233276367187500000000,1038,269,1.000000000000000000000000000000,0.741787043312515770310255902587
221,221_0,RUNNING,BoTorch,GenerationStep_1,,,3978,214,0.100000000000000005551115123126,0.626503714927654442590210237540
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.746395197722631298375972619397,3.478796243667602539062500000000,515,500,1.000000000000000000000000000000,0.500000000000000000000000000000
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.714462528621820691654420443228,152.567648172378540039062500000000,4000,50,0.661268154783933637119730519771,0.500000000000000000000000000000
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.729562472925304739135299314512,1.802689313888549804687500000000,1018,317,1.000000000000000000000000000000,0.740167626371919129546483873128
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.740887431152917885768260930490,3.405369043350219726562500000000,2784,500,1.000000000000000000000000000000,0.643246320842205898671295472013
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.746642737793180244487700747413,3.978531360626220703125000000000,2624,500,0.474882696212986621375762297248,0.500000000000000000000000000000
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.747137817934278136711157003447,3.306615591049194335937500000000,354,336,0.100000000000000005551115123126,0.500000000000000000000000000000
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.737855065288693601210923134204,3.255117654800415039062500000000,1079,457,0.439679578392530689967543366947,0.800000000000000044408920985006
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.743672256946593224213870598760,2.731062412261962890625000000000,411,500,0.100000000000000005551115123126,0.777772251127402669546029301273
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.743857911999504906042091079144,2.837200880050659179687500000000,1306,500,1.000000000000000000000000000000,0.707334518508394904934277747088
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.744538647193514480093767815561,2.942617177963256835937500000000,369,382,0.539434902377766145598059210897,0.545652214530319312757455918472
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.742620211646760286505752901576,2.731566190719604492187500000000,1605,500,1.000000000000000000000000000000,0.709861955533884869673499906639
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.741691936382201877364650499658,15.654021739959716796875000000000,935,146,1.000000000000000000000000000000,0.674335382359083190806359198177
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.743610371928955959930362951127,3.855747461318969726562500000000,624,500,1.000000000000000000000000000000,0.500000000000000000000000000000
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.742558326629123133244547716458,8.773682355880737304687500000000,2997,368,0.100000000000000005551115123126,0.619460710586128837640274014120
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.722012500773562715394859878870,56.382985115051269531250000000000,3740,95,1.000000000000000000000000000000,0.500000000000000000000000000000
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.751531654186521458349545810051,9.969277381896972656250000000000,4000,500,0.100000000000000005551115123126,0.500000000000000000000000000000
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.731790333560245032096247541631,33.814918756484985351562500000000,4000,139,0.100000000000000005551115123126,0.500000000000000000000000000000
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.745652577510984571063090697862,3.037131071090698242187500000000,2640,500,0.727267823757964948505616575858,0.619853400953993660671415000252
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.742310786558574187132819588442,2.765832662582397460937500000000,2154,202,0.643683486209903787944597297610,0.656723001307556120131891930214
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.746395197722631298375972619397,5.554446935653686523437500000000,2923,500,0.100000000000000005551115123126,0.564931950655728321031290306564
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.743424716876044278102142470743,8.590234994888305664062500000000,3117,315,0.100000000000000005551115123126,0.800000000000000044408920985006
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.734451389318645952997144377150,1.234405040740966796875000000000,2986,343,1.000000000000000000000000000000,0.795978713802497295226601181639
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.738597685500340328523805055738,15.926228761672973632812500000000,3449,226,1.000000000000000000000000000000,0.500000000000000000000000000000
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.744229222105328269698532039911,2.654918909072875976562500000000,2180,236,1.000000000000000000000000000000,0.502779744383782589700615517359
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.737236215112321291442754045420,2.473019123077392578125000000000,3100,456,1.000000000000000000000000000000,0.680261061258535915108325298206
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.739402190729624320120194624906,17.507919073104858398437500000000,4000,265,0.100000000000000005551115123126,0.500000000000000000000000000000
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.740454236029457257828312322090,13.620818138122558593750000000000,3281,235,1.000000000000000000000000000000,0.500000000000000000000000000000
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.744848072281700579466701128695,6.366532087326049804687500000000,3048,500,0.100000000000000005551115123126,0.586027371815299402690868646459
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.744476762175877215810260167927,3.326280355453491210937500000000,2185,222,0.702890572117330747481389607856,0.500000000000000000000000000000
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.740021040905996629888363713690,3.416557312011718750000000000000,33,50,0.528799107530974255020339569455,0.500000000000000000000000000000
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.748932483445757801732156622165,10.035173416137695312500000000000,1990,500,0.100000000000000005551115123126,0.800000000000000044408920985006
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.740763661117643468223548097740,15.611873626708984375000000000000,3576,237,1.000000000000000000000000000000,0.500000000000000000000000000000
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.731109598366235569066873267730,1.781194925308227539062500000000,2091,193,0.865969572808975573963152783108,0.800000000000000044408920985006
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.738968995606163803202548479021,2.032835960388183593750000000000,2166,320,1.000000000000000000000000000000,0.500000000000000000000000000000
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.733461229036450279572534327599,1.352512836456298828125000000000,3021,276,1.000000000000000000000000000000,0.800000000000000044408920985006
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.748932483445757801732156622165,9.768106460571289062500000000000,3954,500,0.654822903850048820828533280292,0.500000000000000000000000000000
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.747509128040101500367597964214,5.133829355239868164062500000000,2965,500,0.366356304482046313264476111726,0.573028594402745450331337906391
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.730552633207500412559909364063,1.905603885650634765625000000000,2170,500,0.100000000000000005551115123126,0.800000000000000044408920985006
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.745095612352249525578429256711,10.439121484756469726562500000000,1402,327,0.100000000000000005551115123126,0.500000000000000000000000000000
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.739835385853084948060143233306,2.443003177642822265625000000000,2133,235,1.000000000000000000000000000000,0.589973680499330410675895564054
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.750170183798502421268494799733,9.189017772674560546875000000000,1819,500,0.100000000000000005551115123126,0.800000000000000044408920985006
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.746766507828454773054716042680,5.032561063766479492187500000000,2866,500,0.100000000000000005551115123126,0.545778361317176274880580422177
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.729438702890030321590586481761,1.559983968734741210937500000000,2049,247,1.000000000000000000000000000000,0.663810156305402410126248469169
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.746828392846091926315921227797,6.220527410507202148437500000000,85,50,0.100000000000000005551115123126,0.500000000000000000000000000000
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.732594838789529023692637110798,1.693706989288330078125000000000,2115,422,1.000000000000000000000000000000,0.500000000000000000000000000000
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.741258741258741249424701891257,19.600237607955932617187500000000,3243,179,1.000000000000000000000000000000,0.500000000000000000000000000000
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.733151803948264180199601014465,1.768087863922119140625000000000,2202,500,1.000000000000000000000000000000,0.500000000000000000000000000000
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.730985828330961040499857972463,2.610733270645141601562500000000,10,50,1.000000000000000000000000000000,0.500000000000000000000000000000
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.737298100129958555726261693053,3.025635957717895507812500000000,1490,500,0.444660581211333005846597643540,0.800000000000000044408920985006
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.743239061823132596273921990360,8.539481639862060546875000000000,3501,500,0.121635640139749715005201835538,0.500000000000000000000000000000
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.733832539142273643228975288366,1.172165632247924804687500000000,1412,282,1.000000000000000000000000000000,0.800000000000000044408920985006
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.745714462528621835346598345495,5.313325405120849609375000000000,3190,275,1.000000000000000000000000000000,0.683162059455073022995463816187
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.720279720279720314657367907785,1.501877784729003906250000000000,10,149,0.699559418695595902626394035906,0.500000000000000000000000000000
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.732347298718980188603211445297,3.400255680084228515625000000000,19,50,0.100000000000000005551115123126,0.640668170005193826632705622615
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.736679249953586245958092604269,2.486107349395751953125000000000,2292,500,0.100000000000000005551115123126,0.662199400160807361004344784305
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.747818553128287599740531277348,5.017153263092041015625000000000,748,500,0.100000000000000005551115123126,0.800000000000000044408920985006
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.741196856241103985141194243624,2.389697074890136718750000000000,2231,376,0.100000000000000005551115123126,0.500000000000000000000000000000
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.740763661117643468223548097740,9.321518898010253906250000000000,1308,391,1.000000000000000000000000000000,0.500000000000000000000000000000
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.748313633269385491963987533381,10.719771146774291992187500000000,1426,500,0.100000000000000005551115123126,0.800000000000000044408920985006
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.727334612290364557196653549909,1.624090194702148437500000000000,170,449,0.334376785322584302306836434582,0.800000000000000044408920985006
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.742929636734946496900988677226,11.305749893188476562500000000000,2853,143,1.000000000000000000000000000000,0.800000000000000044408920985006
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.726096911937619937660315372341,2.202797889709472656250000000000,99,500,0.100000000000000005551115123126,0.800000000000000044408920985006
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.744229222105328269698532039911,10.965194702148437500000000000000,3426,435,0.100000000000000005551115123126,0.500000000000000000000000000000
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.747447243022464236084090316581,6.683629751205444335937500000000,191,129,0.607390144318669000789157053077,0.500000000000000000000000000000
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.749798873692679057612053838966,7.431198120117187500000000000000,782,418,0.100000000000000005551115123126,0.800000000000000044408920985006
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.744724302246426161921988295944,12.062621355056762695312500000000,1251,334,0.100000000000000005551115123126,0.633144772953738610432594668964
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.722755120985209442707741800405,1.446439504623413085937500000000,306,500,1.000000000000000000000000000000,0.800000000000000044408920985006
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.739649730800173266231922752922,2.885374069213867187500000000000,2110,163,0.100000000000000005551115123126,0.500000000000000000000000000000
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.739897270870722212343650880939,2.384321689605712890625000000000,307,500,0.100000000000000005551115123126,0.599405710423752458027024658804
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.739154650659075485030768959405,8.757351636886596679687500000000,143,50,0.100000000000000005551115123126,0.636355373423645009900440072670
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.747014047899003608144141708181,7.284784555435180664062500000000,1337,438,0.100000000000000005551115123126,0.800000000000000044408920985006
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.740268580976545576000091841706,12.310627222061157226562500000000,4000,398,1.000000000000000000000000000000,0.500000000000000000000000000000
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.744105452070053852153819207160,8.017669439315795898437500000000,2905,312,1.000000000000000000000000000000,0.500000000000000000000000000000
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.745900117581533517174818825879,10.682255506515502929687500000000,1312,342,1.000000000000000000000000000000,0.500000000000000000000000000000
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.744291107122965533982039687544,8.775542736053466796875000000000,3441,500,0.438845016985066505021961802413,0.500000000000000000000000000000
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.741939476452750823476378627674,13.041456937789916992187500000000,1332,280,1.000000000000000000000000000000,0.500000000000000000000000000000
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.720589145367906414030301220919,1.543576955795288085937500000000,10,148,0.181167805566056161481469644059,0.500000000000000000000000000000
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.726839532149266664973197293875,35.528059244155883789062500000000,2802,52,1.000000000000000000000000000000,0.800000000000000044408920985006
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.733770654124636378945467640733,1.424285888671875000000000000000,207,262,1.000000000000000000000000000000,0.739810515584726213766941782524
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.733275573983538597744313847215,1.301212310791015625000000000000,1617,445,0.787083905988200105419139163132,0.800000000000000044408920985006
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.729376817872393057307078834128,1.274068593978881835937500000000,3292,445,1.000000000000000000000000000000,0.800000000000000044408920985006
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.738040720341605283039143614587,2.565800428390502929687500000000,2814,238,1.000000000000000000000000000000,0.800000000000000044408920985006
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.739092765641438220747261311772,2.453517198562622070312500000000,4000,381,1.000000000000000000000000000000,0.708543437019951705124753971177
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.742805866699671968333973381959,3.727214097976684570312500000000,974,500,0.377506412868706842100863241285,0.700766988280826730317585315788
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.740268580976545576000091841706,22.774493694305419921875000000000,3656,201,0.100000000000000005551115123126,0.500000000000000000000000000000
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.733337459001175862027821494848,1.338424444198608398437500000000,2156,367,1.000000000000000000000000000000,0.623455483026802537160904194025
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.737545640200507501837989821070,1.967074394226074218750000000000,239,500,0.674457511303785728351556372218,0.500000000000000000000000000000
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.748251748251748227680479885748,4.066711664199829101562500000000,2211,156,0.664206942122479881973617921176,0.500000000000000000000000000000
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.733832539142273643228975288366,0.939930915832519531250000000000,731,412,1.000000000000000000000000000000,0.800000000000000044408920985006
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.748127978216473810135767052998,3.332074642181396484375000000000,2382,354,0.609010501676018001226964315720,0.500000000000000000000000000000
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.734265734265734271168923896767,2.269889593124389648437500000000,2191,406,0.104403470187370728261555541394,0.800000000000000044408920985006
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.726963302184541082517910126626,1.146847009658813476562500000000,2358,500,1.000000000000000000000000000000,0.800000000000000044408920985006
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.727767807413825074114299695793,2.157419681549072265625000000000,10,72,1.000000000000000000000000000000,0.800000000000000044408920985006
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.728139117519648437770740656561,2.615963459014892578125000000000,10,50,1.000000000000000000000000000000,0.659674446760891819430128180102
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.745528807475710153518377865112,3.852577924728393554687500000000,325,256,0.100000000000000005551115123126,0.608844407328238079735172050277
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.745157497369886789861936904344,6.580857992172241210937500000000,306,146,0.100000000000000005551115123126,0.800000000000000044408920985006
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.746890277863729190599428875430,5.530467510223388671875000000000,911,471,0.100000000000000005551115123126,0.691559374804923243651444408897
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.731542793489696197006821876130,1.753268003463745117187500000000,2780,396,1.000000000000000000000000000000,0.697174199148628659372661786620
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.746580852775543091226495562296,6.220865964889526367187500000000,1192,500,1.000000000000000000000000000000,0.544640593472297762644984686631
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.737483755182870237554482173437,3.202265977859497070312500000000,1135,317,0.536657434871448124624748743372,0.800000000000000044408920985006
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.732904263877715234087872886448,1.607423782348632812500000000000,4000,352,1.000000000000000000000000000000,0.800000000000000044408920985006
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.745900117581533517174818825879,7.858701705932617187500000000000,2879,221,1.000000000000000000000000000000,0.735951123064549461716410405643
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.737978835323968018755635966954,15.755581378936767578125000000000,3438,220,0.100000000000000005551115123126,0.500000000000000000000000000000
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.744909957299337843750208776328,5.164891958236694335937500000000,755,419,0.100000000000000005551115123126,0.644147734893559475999325059092
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.737174330094684027159246397787,1.665718078613281250000000000000,1407,500,1.000000000000000000000000000000,0.800000000000000044408920985006
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.743672256946593224213870598760,2.427412748336791992187500000000,2292,441,0.433938396833774664429483891581,0.585693170414351427233157210139
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.737793180271056336927415486571,2.530473709106445312500000000000,1320,346,1.000000000000000000000000000000,0.689972308315075277818095855764
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.733089918930626915916093366832,1.479937791824340820312500000000,752,434,1.000000000000000000000000000000,0.742715567755878325328922073822
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.743300946840769860557429637993,3.268395185470581054687500000000,3289,500,1.000000000000000000000000000000,0.707446221212495229835326426837
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.744105452070053852153819207160,3.406678676605224609375000000000,337,422,1.000000000000000000000000000000,0.500000000000000000000000000000
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.728943622748932429367130225728,1.271301746368408203125000000000,3572,500,0.677545013377921945263437919493,0.800000000000000044408920985006
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.732223528683705660036196150031,1.279465675354003906250000000000,2182,495,0.601995355470574811107553614420,0.800000000000000044408920985006
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.745776347546259099630105993128,4.729415655136108398437500000000,2202,144,0.590123512324204457790699507314,0.746122141786460191248409046239
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.740516121047094522111819969723,3.795612812042236328125000000000,2265,165,1.000000000000000000000000000000,0.800000000000000044408920985006
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.721331765579553141343183142453,0.993578910827636718750000000000,10,500,0.829009830884969933784134354937,0.740162805103873444600992570486
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.744600532211151633354973000678,3.113425493240356445312500000000,2446,500,1.000000000000000000000000000000,0.500000000000000000000000000000
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.734575159353920370541857209901,1.720879077911376953125000000000,281,500,0.544594996491820193540434047463,0.710125057328648501275836224522
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.743857911999504906042091079144,3.379592418670654296875000000000,2365,285,1.000000000000000000000000000000,0.570372654893695707478684653324
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.740392351011819993544804674457,5.918169260025024414062500000000,3424,500,1.000000000000000000000000000000,0.615408472258257122078362044704
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.718794479856426749009301602200,1.401491641998291015625000000000,10,153,1.000000000000000000000000000000,0.800000000000000044408920985006
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.748313633269385491963987533381,3.316820621490478515625000000000,2421,418,0.100000000000000005551115123126,0.500000000000000000000000000000
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.746209542669719616547752139013,3.525189876556396484375000000000,2277,277,0.100000000000000005551115123126,0.500000000000000000000000000000
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.729810012995853685247027442529,21.659368515014648437500000000000,2439,50,1.000000000000000000000000000000,0.500000000000000000000000000000
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.732471068754254606147924278048,1.788453102111816406250000000000,1860,268,1.000000000000000000000000000000,0.753704869178963066111975876993
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.740887431152917885768260930490,2.660411596298217773437500000000,224,265,0.411083703538572209357226938664,0.800000000000000044408920985006
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.746023887616807934719531658629,2.854417800903320312500000000000,260,312,0.100000000000000005551115123126,0.800000000000000044408920985006
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.746457082740268562659480267030,2.938203334808349609375000000000,2461,500,0.531371740279026449904620221787,0.500000000000000000000000000000
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.732904263877715234087872886448,1.166739225387573242187500000000,2589,379,1.000000000000000000000000000000,0.800000000000000044408920985006
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.748127978216473810135767052998,4.535629987716674804687500000000,2244,144,0.530298777188056624787293458212,0.800000000000000044408920985006
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.734018194195185325057195768750,1.820490360260009765625000000000,3821,336,0.825543193466987346162966332486,0.757983523074193477064852686453
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.731914103595519560663262836897,2.217083215713500976562500000000,3384,500,0.730940892649055151686354747653,0.710175630388983569751815139171
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.749798873692679057612053838966,4.913234472274780273437500000000,2439,275,0.100000000000000005551115123126,0.800000000000000044408920985006
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.745838232563896252891311178246,2.324838638305664062500000000000,350,500,0.100000000000000005551115123126,0.500000000000000000000000000000
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.743734141964230488497378246393,13.551481962203979492187500000000,2847,147,0.100000000000000005551115123126,0.800000000000000044408920985006
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.720403490314994732202080740535,1.592994213104248046875000000000,10,110,0.628758888022790007887863339420,0.598068165780375138318447625352
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.732409183736617341864416630415,1.211205244064331054687500000000,625,500,1.000000000000000000000000000000,0.800000000000000044408920985006
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.729995668048765367075247922912,0.916050910949707031250000000000,10,500,1.000000000000000000000000000000,0.691196119380128926046324977506
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.735689089671390572533482554718,4.335514068603515625000000000000,3800,308,1.000000000000000000000000000000,0.695785259601619965330598915898
</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> Args Overview</h1>
<h2>Arguments Overview: </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value </th></tr></thead><tbody><tr><td> config_yaml</td><td>None </td></tr><tr><td> config_toml</td><td>None </td></tr><tr><td> config_json</td><td>None </td></tr><tr><td> num_random_steps</td><td>20 </td></tr><tr><td> max_eval</td><td>500 </td></tr><tr><td> run_program</td><td>[['bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBw… </td></tr><tr><td> experiment_name</td><td>D3_NOAAWeather_HoeffdingTreeClassifier_ACC-RUNTIME </td></tr><tr><td> mem_gb</td><td>32 </td></tr><tr><td> parameter</td><td>[['recent_samples_size', 'range', '10', '4000', 'int'], ['n_reference_samples', 'range', '50', '500', 'int'], ['recent_samples_proportion', 'range', </td></tr><tr><td></td><td>'0.1', '1.0', 'float'], ['threshold', 'range', '0.5', '0.8', 'float']] </td></tr><tr><td> continue_previous_job</td><td>None </td></tr><tr><td> maximize</td><td>False </td></tr><tr><td> experiment_constraints</td><td>None </td></tr><tr><td> stderr_to_stdout</td><td>False </td></tr><tr><td> run_dir</td><td>runs </td></tr><tr><td> seed</td><td>None </td></tr><tr><td> decimalrounding</td><td>12 </td></tr><tr><td> enforce_sequential_optimization</td><td>False </td></tr><tr><td> verbose_tqdm</td><td>False </td></tr><tr><td> model</td><td>BOTORCH_MODULAR </td></tr><tr><td> gridsearch</td><td>False </td></tr><tr><td> occ</td><td>False </td></tr><tr><td> show_sixel_scatter</td><td>False </td></tr><tr><td> show_sixel_general</td><td>False </td></tr><tr><td> show_sixel_trial_index_result</td><td>False </td></tr><tr><td> follow</td><td>False </td></tr><tr><td> send_anonymized_usage_stats</td><td>True </td></tr><tr><td> ui_url</td><td>None </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485 </td></tr><tr><td> exclude</td><td>None </td></tr><tr><td> main_process_gb</td><td>8 </td></tr><tr><td> pareto_front_confidence</td><td>1 </td></tr><tr><td> max_nr_of_zero_results</td><td>50 </td></tr><tr><td> disable_search_space_exhaustion_detection</td><td>False </td></tr><tr><td> abbreviate_job_names</td><td>False </td></tr><tr><td> orchestrator_file</td><td>None </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False </td></tr><tr><td> live_share</td><td>False </td></tr><tr><td> disable_tqdm</td><td>False </td></tr><tr><td> workdir</td><td>False </td></tr><tr><td> max_parallelism</td><td>max_eval_times_thousand_plus_thousand </td></tr><tr><td> occ_type</td><td>euclid </td></tr><tr><td> result_names</td><td>['ACCURACY=max', 'RUNTIME=min'] </td></tr><tr><td> minkowski_p</td><td>2 </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None </td></tr><tr><td> generate_all_jobs_at_once</td><td>True </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True </td></tr><tr><td> num_parallel_jobs</td><td>30 </td></tr><tr><td> worker_timeout</td><td>30 </td></tr><tr><td> slurm_use_srun</td><td>False </td></tr><tr><td> time</td><td>1260 </td></tr><tr><td> partition</td><td>romeo </td></tr><tr><td> reservation</td><td>None </td></tr><tr><td> force_local_execution</td><td>False </td></tr><tr><td> slurm_signal_delay_s</td><td>0 </td></tr><tr><td> nodes_per_job</td><td>1 </td></tr><tr><td> cpus_per_task</td><td>1 </td></tr><tr><td> account</td><td>None </td></tr><tr><td> gpus</td><td>0 </td></tr><tr><td> run_mode</td><td>local </td></tr><tr><td> verbose</td><td>False </td></tr><tr><td> verbose_break_run_search_table</td><td>False </td></tr><tr><td> debug</td><td>False </td></tr><tr><td> no_sleep</td><td>False </td></tr><tr><td> tests</td><td>False </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False </td></tr><tr><td> raise_in_eval</td><td>False </td></tr><tr><td> show_ram_every_n_seconds</td><td>False </td></tr></tbody></table>
<h1> Worker-Usage</h1>
<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
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1742444896.7019432,30,22,73
1742444896.9016852,30,22,73
1742444898.0349722,30,21,70
1742444898.2496126,30,21,70
1742444899.4311602,30,20,67
1742444899.6376188,30,20,67
1742444901.2381103,30,19,63
1742444901.5015173,30,19,63
1742444902.5971239,30,18,60
1742444902.8210332,30,18,60
1742444903.9166808,30,17,57
1742444904.1316051,30,17,57
1742444905.253365,30,16,53
1742444905.4573827,30,16,53
1742444906.5552945,30,15,50
1742444906.9443772,30,15,50
1742444908.1203616,30,14,47
1742444908.3622513,30,14,47
1742444909.5262418,30,13,43
1742444909.707974,30,13,43
1742444911.237479,30,12,40
1742444911.4323657,30,12,40
1742444912.537904,30,11,37
1742444912.7176118,30,11,37
1742444913.9167829,30,10,33
1742444914.087252,30,10,33
1742444915.2345471,30,9,30
1742444915.4233122,30,9,30
1742444916.5161521,30,8,27
1742444916.7291574,30,8,27
1742444917.7820995,30,7,23
1742444917.9806833,30,7,23
1742444919.143007,30,6,20
1742444919.3354342,30,6,20
1742444920.437689,30,5,17
1742444920.610089,30,5,17
1742444922.0305214,30,4,13
1742444922.2163181,30,4,13
1742444923.3442848,30,3,10
1742444923.5581188,30,3,10
1742444924.6588042,30,2,7
1742444924.8716106,30,2,7
1742444927.3645735,30,1,3
1742444927.569664,30,1,3
1742444930.5539978,30,1,3
1742444937.5351558,30,1,3
1742444943.0642164,30,1,3
1742444943.237245,30,1,3
1742444945.7028253,30,0,0
1742444947.8081577,30,0,0
1742444949.4468005,30,0,0
1742445196.671332,30,0,0
1742445863.5253768,30,0,0
1742446853.8765519,30,0,0
1742447150.961735,30,0,0
1742447683.3651469,30,0,0
1742448084.5464084,30,0,0
1742448692.9409022,30,0,0
1742449206.2854762,30,0,0
1742449666.8879194,30,0,0
1742450020.7428753,30,0,0
1742450296.8797703,30,0,0
1742450644.0469494,30,0,0
1742451023.8779607,30,0,0
1742451344.0065415,30,0,0
1742451813.6591911,30,0,0
1742452191.0558763,30,0,0
1742452636.8330154,30,0,0
1742453082.327495,30,0,0
1742453355.427193,30,0,0
1742453623.6000946,30,0,0
1742453979.5548558,30,0,0
1742454484.9495533,30,0,0
1742454720.0447192,30,0,0
1742454991.718443,30,0,0
1742455306.059267,30,0,0
1742455840.9671412,30,0,0
1742456124.1432052,30,0,0
1742456587.962987,30,0,0
1742457087.8648522,30,0,0
1742457402.1207414,30,0,0
1742457402.531341,30,0,0
1742457405.137319,30,1,3
1742457405.3037913,30,1,3
1742457405.7252796,30,1,3
1742457407.660918,30,2,7
1742457407.7104118,30,2,7
1742457408.1313703,30,2,7
1742457410.135903,30,3,10
1742457410.1979184,30,3,10
1742457410.6457508,30,3,10
1742457412.5301056,30,4,13
1742457412.5892575,30,4,13
1742457412.9966328,30,4,13
1742457415.1112776,30,5,17
1742457415.2085414,30,5,17
1742457415.5919862,30,5,17
1742457417.5380166,30,6,20
1742457417.6143827,30,6,20
1742457417.9996343,30,6,20
1742457420.1685364,30,7,23
1742457420.217907,30,7,23
1742457420.6636798,30,7,23
1742457422.6222382,30,8,27
1742457422.6809387,30,8,27
1742457423.0890949,30,8,27
1742457425.1369944,30,9,30
1742457425.188423,30,9,30
1742457425.5848637,30,9,30
1742457427.6726234,30,10,33
1742457427.7263615,30,10,33
1742457428.1365798,30,10,33
1742457431.1658235,30,11,37
1742457431.22968,30,11,37
1742457431.664812,30,11,37
1742457433.5678136,30,12,40
1742457433.6191463,30,12,40
1742457434.0348914,30,12,40
1742457436.4692225,30,13,43
1742457436.525462,30,13,43
1742457436.972161,30,13,43
1742457439.078657,30,14,47
1742457439.1661832,30,14,47
1742457439.563612,30,14,47
1742457441.4915674,30,15,50
1742457441.5364783,30,15,50
1742457441.8766727,30,15,50
1742457443.7069752,30,16,53
1742457443.777041,30,16,53
1742457444.1605198,30,16,53
1742457446.0973372,30,17,57
1742457446.1491644,30,17,57
1742457446.706236,30,17,57
1742457450.1503496,30,18,60
1742457450.1982234,30,18,60
1742457450.6044116,30,18,60
1742457452.472397,30,19,63
1742457452.5543265,30,19,63
1742457452.910491,30,19,63
1742457454.7908974,30,20,67
1742457454.8422618,30,20,67
1742457455.236823,30,20,67
1742457457.1424446,30,21,70
1742457457.2087684,30,21,70
1742457457.5949173,30,21,70
1742457459.4155202,30,22,73
1742457459.4694018,30,22,73
1742457459.8779745,30,22,73
1742457462.2143698,30,23,77
1742457462.2649102,30,23,77
1742457462.6372154,30,23,77
1742457464.3758898,30,24,80
1742457464.4227881,30,24,80
1742457464.7769723,30,24,80
1742457466.7291343,30,25,83
1742457466.7731855,30,25,83
1742457467.3553348,30,25,83
1742457469.6073964,30,26,87
1742457469.6873863,30,26,87
1742457470.0535653,30,26,87
1742457472.1459801,30,27,90
1742457472.1907303,30,27,90
1742457472.5589125,30,27,90
1742457474.4714878,30,28,93
1742457474.5221486,30,28,93
1742457474.914211,30,28,93
1742457476.7144341,30,29,97
1742457476.7597847,30,29,97
1742457477.1026125,30,29,97
1742457479.1904607,30,30,100
1742457479.9441152,30,30,100
1742457480.2322397,30,30,100
1742457481.3452485,30,29,97
1742457481.5164652,30,29,97
1742457482.678075,30,28,93
1742457482.8785355,30,28,93
1742457484.0697894,30,27,90
1742457484.2688718,30,27,90
1742457485.511322,30,26,87
1742457485.7650902,30,26,87
1742457487.2042837,30,25,83
1742457487.3919053,30,25,83
1742457488.5976186,30,24,80
1742457488.7801776,30,24,80
1742457490.327617,30,23,77
1742457490.499412,30,23,77
1742457491.6190436,30,22,73
1742457491.8379996,30,22,73
1742457492.9898815,30,21,70
1742457493.1859593,30,21,70
1742457494.3640442,30,20,67
1742457494.5812194,30,20,67
1742457495.7599752,30,19,63
1742457495.9319968,30,19,63
1742457497.1026626,30,18,60
1742457497.2569792,30,18,60
1742457498.4425013,30,17,57
1742457498.6702213,30,17,57
1742457500.1872551,30,16,53
1742457500.3821156,30,16,53
1742457501.5694513,30,15,50
1742457501.941543,30,15,50
1742457503.1027052,30,14,47
1742457503.3039918,30,14,47
1742457504.5552635,30,13,43
1742457504.7148125,30,13,43
1742457505.8981345,30,12,40
1742457506.0699096,30,12,40
1742457507.21839,30,11,37
1742457507.446941,30,11,37
1742457508.614402,30,10,33
1742457508.7979107,30,10,33
1742457510.3466363,30,9,30
1742457510.5356388,30,9,30
1742457511.757828,30,8,27
1742457511.9598625,30,8,27
1742457513.100466,30,7,23
1742457513.269811,30,7,23
1742457514.4983802,30,6,20
1742457514.7126095,30,6,20
1742457515.8332114,30,5,17
1742457516.0074832,30,5,17
1742457517.114605,30,4,13
1742457517.291196,30,4,13
1742457518.5059102,30,3,10
1742457518.6962764,30,3,10
1742457519.8218389,30,2,7
1742457520.085042,30,2,7
1742457521.6059763,30,1,3
1742457521.7861195,30,1,3
1742457524.0754964,30,0,0
1742457524.2190285,30,0,0
1742457529.0350375,30,0,0
1742457530.921726,30,0,0
1742457881.273785,30,0,0
1742458509.3447988,30,0,0
1742458765.7883465,30,0,0
1742459139.9260664,30,0,0
1742459724.7826831,30,0,0
1742460208.0148973,30,0,0
1742460663.5829475,30,0,0
1742461052.8472142,30,0,0
1742461528.7054582,30,0,0
1742461798.9069474,30,0,0
1742462250.9887178,30,0,0
1742462689.8000355,30,0,0
1742463003.0211303,30,0,0
1742463646.6457582,30,0,0
1742464056.626026,30,0,0
1742464483.1987932,30,0,0
1742464986.3351355,30,0,0
1742465232.8356104,30,0,0
1742465718.482331,30,0,0
1742466131.4329374,30,0,0
1742466910.4471862,30,0,0
1742467296.1661184,30,0,0
1742467737.2694495,30,0,0
1742468082.0633366,30,0,0
1742468434.1965315,30,0,0
1742468950.9767785,30,0,0
1742469337.6624496,30,0,0
1742469929.716286,30,0,0
1742470233.1279128,30,0,0
1742470792.349093,30,0,0
1742470792.763188,30,0,0
1742470795.6193528,30,1,3
1742470795.8459704,30,1,3
1742470796.304631,30,1,3
1742470798.4891722,30,2,7
1742470798.5504,30,2,7
1742470799.012914,30,2,7
1742470801.026129,30,3,10
1742470801.0855317,30,3,10
1742470801.5934281,30,3,10
1742470804.1820707,30,4,13
1742470804.2281268,30,4,13
1742470804.7952254,30,4,13
1742470807.1092203,30,5,17
1742470807.3134177,30,5,17
1742470807.762119,30,5,17
1742470810.1518667,30,6,20
1742470810.2540631,30,6,20
1742470810.7200966,30,6,20
1742470812.6166043,30,7,23
1742470812.6730807,30,7,23
1742470813.2505379,30,7,23
1742470815.592527,30,8,27
1742470815.644487,30,8,27
1742470816.1088712,30,8,27
1742470818.1952815,30,9,30
1742470818.2974894,30,9,30
1742470818.7335038,30,9,30
1742470820.6550589,30,10,33
1742470820.712284,30,10,33
1742470821.202698,30,10,33
1742470823.2504172,30,11,37
1742470823.3508117,30,11,37
1742470823.826131,30,11,37
1742470826.0454993,30,12,40
1742470826.1014616,30,12,40
1742470826.6288612,30,12,40
1742470828.7283628,30,13,43
1742470828.8096023,30,13,43
1742470829.2699013,30,13,43
1742470831.623856,30,14,47
1742470831.7130022,30,14,47
1742470832.1095145,30,14,47
1742470834.6468556,30,15,50
1742470834.7593997,30,15,50
1742470835.2206147,30,15,50
1742470838.623362,30,16,53
1742470838.6722116,30,16,53
1742470839.1503117,30,16,53
1742470841.4841497,30,17,57
1742470841.6039379,30,17,57
1742470842.049157,30,17,57
1742470845.5306103,30,18,60
1742470845.58431,30,18,60
1742470846.0353544,30,18,60
1742470848.5184653,30,19,63
1742470848.6019106,30,19,63
1742470849.086412,30,19,63
1742470851.4988368,30,20,67
1742470851.5704014,30,20,67
1742470852.0204554,30,20,67
1742470854.2563753,30,21,70
1742470854.3727486,30,21,70
1742470854.791268,30,21,70
1742470857.1302736,30,22,73
1742470857.1814187,30,22,73
1742470857.651736,30,22,73
1742470859.5343344,30,23,77
1742470859.6914186,30,23,77
1742470860.1596763,30,23,77
1742470862.4873793,30,24,80
1742470862.5483875,30,24,80
1742470863.0436552,30,24,80
1742470865.293317,30,25,83
1742470865.3426383,30,25,83
1742470865.7191255,30,25,83
1742470867.5358937,30,26,87
1742470867.6491947,30,26,87
1742470868.079199,30,26,87
1742470870.1526818,30,27,90
1742470870.266651,30,27,90
1742470870.6894999,30,27,90
1742470872.6505525,30,28,93
1742470872.7350223,30,28,93
1742470873.1459534,30,28,93
1742470876.1910589,30,29,97
1742470876.3960347,30,29,97
1742470876.8110988,30,29,97
1742470878.9463818,30,30,100
1742470879.798576,30,30,100
1742470880.1059806,30,30,100
1742470881.5893273,30,29,97
1742470881.846873,30,29,97
1742470883.233581,30,28,93
1742470884.6656659,30,28,93
1742470886.0074306,30,27,90
1742470886.3005338,30,27,90
1742470888.1247885,30,26,87
1742470888.4431608,30,26,87
1742470889.911202,30,25,83
1742470890.189952,30,25,83
1742470891.6798377,30,24,80
1742470892.0283551,30,24,80
1742470893.5083325,30,23,77
1742470893.9568808,30,23,77
1742470895.4905293,30,22,73
1742470895.7257876,30,22,73
1742470897.1382012,30,21,70
1742470897.4332535,30,21,70
1742470898.8007615,30,20,67
1742470899.0918303,30,20,67
1742470900.9347126,30,19,63
1742470901.1448727,30,19,63
1742470902.8624277,30,18,60
1742470903.0948303,30,18,60
1742470904.5118074,30,17,57
1742470904.7824035,30,17,57
1742470906.3095794,30,16,53
1742470906.5948157,30,16,53
1742470908.2405667,30,15,50
1742470908.5975082,30,15,50
1742470909.959956,30,14,47
1742470910.1687849,30,14,47
1742470911.4606984,30,13,43
1742470911.6408806,30,13,43
1742470913.401957,30,12,40
1742470913.6995592,30,12,40
1742470915.131399,30,11,37
1742470915.375563,30,11,37
1742470916.6251729,30,10,33
1742470916.8132699,30,10,33
1742470918.1302354,30,9,30
1742470918.3204467,30,9,30
1742470919.6687727,30,8,27
1742470919.9046845,30,8,27
1742470921.2927961,30,7,23
1742470921.5772736,30,7,23
1742470922.839834,30,6,20
1742470923.0511706,30,6,20
1742470924.773511,30,5,17
1742470925.0368485,30,5,17
1742470926.4492972,30,4,13
1742470926.665474,30,4,13
1742470927.9164739,30,3,10
1742470928.1871128,30,3,10
1742470929.5352292,30,2,7
1742470929.780916,30,2,7
1742470931.1170034,30,1,3
1742470931.3473086,30,1,3
1742470934.313807,30,0,0
1742470934.4837058,30,0,0
</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
1742404030,592.78125,0.2
1742404030,592.78125,1.5
1742404030,592.78125,0.7
1742404030,592.78125,0.0
1742404030,592.78125,0.0
1742404030,592.78125,1.0
1742404030,592.78125,0.0
1742404121,606.2109375,1.3
1742404121,606.2109375,3.5
1742404121,606.2109375,0.8
1742404121,606.2109375,3.8
1742406667,673.56640625,2.9
1742406667,673.56640625,2.7
1742406667,673.56640625,4.6
1742406667,673.56640625,5.4
1742408181,675.43359375,5.5
1742408181,675.43359375,2.5
1742408181,675.43359375,5.8
1742408181,675.43359375,5.9
1742411011,689.11328125,6.3
1742411011,689.11328125,7.7
1742411011,689.11328125,6.2
1742411011,689.11328125,7.4
1742414076,703.265625,6.4
1742414076,703.265625,5.3
1742414076,703.265625,5.3
1742414076,703.265625,5.4
1742418479,699.10546875,6.6
1742418479,699.10546875,6.2
1742418479,699.10546875,6.8
1742418479,699.10546875,6.6
1742423689,740.2734375,7.0
1742423689,740.2734375,7.8
1742423689,740.2734375,7.6
1742423689,740.2734375,11.6
1742431972,767.03125,7.3
1742431972,767.03125,6.5
1742431972,767.28125,6.5
1742431972,767.28125,9.3
1742437250,812.609375,7.5
1742437250,812.609375,6.8
1742437250,812.609375,7.0
1742437250,812.609375,7.0
1742444930,796.546875,5.6
1742444930,796.546875,6.5
1742444930,796.546875,6.6
1742444930,796.546875,7.0
1742457527,784.20703125,4.9
1742457527,784.20703125,3.1
1742457527,784.20703125,3.4
1742457527,784.20703125,5.1
1742470937,778.75,4.7
1742470937,778.75,3.9
1742470937,778.75,3.9
1742470937,778.75,2.6
</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>
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<h1> Evolution</h1>
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