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1741854829.0976465,30,16,53
1741854829.147768,30,16,53
1741854829.4098973,30,16,53
1741854831.1633475,30,17,57
1741854831.2089083,30,17,57
1741854831.4554963,30,17,57
1741854833.1574075,30,18,60
1741854833.210279,30,18,60
1741854833.4795167,30,18,60
1741854835.3462832,30,19,63
1741854835.4010801,30,19,63
1741854835.80875,30,19,63
1741854837.3964608,30,20,67
1741854837.4422865,30,20,67
1741854837.6879947,30,20,67
1741854839.338927,30,21,70
1741854839.3880858,30,21,70
1741854839.6551762,30,21,70
1741854841.105808,30,22,73
1741854841.1647315,30,22,73
1741854841.4083235,30,22,73
1741854843.1580472,30,23,77
1741854843.2075374,30,23,77
1741854843.4575212,30,23,77
1741854845.1463733,30,24,80
1741854845.2085664,30,24,80
1741854845.4576898,30,24,80
1741854847.0887554,30,25,83
1741854847.1441984,30,25,83
1741854847.3881795,30,25,83
1741854849.115901,30,26,87
1741854849.161462,30,26,87
1741854849.4239955,30,26,87
1741854851.0968573,30,27,90
1741854851.163339,30,27,90
1741854851.4140773,30,27,90
1741854854.1608944,30,28,93
1741854854.2113364,30,28,93
1741854854.474567,30,28,93
1741854856.1352527,30,29,97
1741854856.215927,30,29,97
1741854856.5012355,30,29,97
1741854858.2432835,30,30,100
1741854858.743863,30,30,100
1741854858.9307659,30,30,100
1741854860.2905602,30,29,97
1741854860.6071372,30,29,97
1741854861.563523,30,28,93
1741854861.7513902,30,28,93
1741854862.8788037,30,27,90
1741854863.0233848,30,27,90
1741854864.4523273,30,26,87
1741854864.888984,30,26,87
1741854865.9790933,30,25,83
1741854866.1177492,30,25,83
1741854867.228046,30,24,80
1741854867.3351617,30,24,80
1741854868.1210263,30,23,77
1741854868.2377408,30,23,77
1741854869.3479679,30,22,73
1741854869.440536,30,22,73
1741854870.2314432,30,21,70
1741854870.3259785,30,21,70
1741854886.170433,30,20,67
1741854902.6104107,30,19,63
1741854904.3290274,30,18,60
1741854904.4731514,30,18,60
1741854905.4708831,30,17,57
1741854905.6164224,30,17,57
1741854906.6333516,30,16,53
1741854906.7822137,30,16,53
1741854907.796391,30,15,50
1741854907.9443204,30,15,50
1741854909.3370569,30,14,47
1741854909.4824522,30,14,47
1741854910.4775355,30,13,43
1741854910.625739,30,13,43
1741854911.6240249,30,12,40
1741854911.7681487,30,12,40
1741854912.765663,30,11,37
1741854912.9314778,30,11,37
1741854913.954453,30,10,33
1741854914.097019,30,10,33
1741854915.1230762,30,9,30
1741854915.2679837,30,9,30
1741854916.2749007,30,8,27
1741854916.4371326,30,8,27
1741854917.5008519,30,7,23
1741854917.665392,30,7,23
1741854919.0661929,30,6,20
1741854919.2139473,30,6,20
1741854935.0188777,30,5,17
1741854951.5192292,30,4,13
1741854953.2154841,30,3,10
1741854953.363558,30,3,10
1741854954.2145932,30,2,7
1741854954.307299,30,2,7
1741854956.7235372,30,1,3
1741854956.8826466,30,0,0
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<html lang='en'>
<head>
<meta charset='UTF-8'>
<meta name='viewport' content='width=device-width, initial-scale=1.0'>
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table > tbody > tr:nth-child(odd) {
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table > tbody > tr:nth-child(even) {
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table {
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}
.nav_tab_button {
margin: 10px;
}
.header_table {
margin: 10px;
}
.no_border {
border: unset !important;
}
.gui_table {
padding: 5px !important;
}
.gui_parameter_row {
}
.gui_parameter_row_cell {
border: unset !important;
}
.gui_param_table {
width: 95%;
margin: unset !important;
}
table td, table tr,
.parameterRow table {
padding: 2px !important;
}
.parameterRow table {
margin: 0px;
border: unset;
}
.parameterRow > td {
border: 0px !important;
}
.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
border: 0px !important;
}
.green_text {
color: green;
}
.remove_parameter {
white-space: pre;
}
select {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
background-color: #fff;
color: #222;
padding: 5px 30px 5px 5px;
border: 1px solid #555;
border-radius: 5px;
cursor: pointer;
outline: none;
transition: all 0.3s ease;
background:
url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
no-repeat right 10px center,
linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
background-size: 12px, auto;
}
select:hover {
border-color: #888;
}
select:focus {
border-color: #4caf50;
box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
}
select::-ms-expand {
display: none;
}
input, textarea {
border-radius: 5px;
}
#search {
width: 200px;
max-width: 70%;
background-image: url(images/search.svg);
background-repeat: no-repeat;
background-size: auto 40px;
height: 40px;
line-height: 40px;
padding-left: 40px;
box-sizing: border-box;
}
input[type="checkbox"] {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
width: 25px;
height: 25px;
border: 2px solid #3498db;
border-radius: 5px;
background-color: #fff;
position: relative;
cursor: pointer;
transition: all 0.3s ease;
width: 25px !important;
}
input[type="checkbox"]:checked {
background-color: #3498db;
border-color: #2980b9;
}
input[type="checkbox"]:checked::before {
content: '✔';
position: absolute;
left: 4px;
top: 2px;
color: #fff;
}
input[type="checkbox"]:hover {
border-color: #2980b9;
background-color: #3caffc;
}
.toc {
margin-bottom: 20px;
}
.toc li {
margin-bottom: 5px;
}
.toc a {
text-decoration: none;
color: #007bff;
}
.toc a:hover {
text-decoration: underline;
}
.table-container {
width: 100%;
overflow-x: auto;
}
.section-header {
background-color: #1d6f9a !important;
color: white;
}
.warning {
color: red;
}
.li_list a {
text-decoration: none;
color: #007bff;
}
.gridjs-td {
white-space: nowrap;
}
th, td {
border: 1px solid gray !important;
}
.no_border {
border: 0px !important;
}
.no_break {
}
img {
user-select: none;
pointer-events: none;
}
#config_table, #hidden_config_table {
user-select: none;
}
.copy_clipboard_button {
margin-bottom: 10px;
}
.badge_table {
background-color: unset !important;
}
.make_markable {
user-select: text;
}
.header-container {
display: flex;
flex-wrap: wrap;
align-items: center;
justify-content: space-between;
gap: 1rem;
padding: 10px;
background: var(--header-bg, #fff);
border-bottom: 1px solid #ccc;
}
.header-logo-group {
display: flex;
gap: 1rem;
align-items: center;
flex: 1 1 auto;
min-width: 200px;
}
.logo-img {
max-height: 45px;
height: auto;
width: auto;
object-fit: contain;
pointer-events: unset;
}
.header-badges {
flex-direction: column;
gap: 5px;
align-items: flex-start;
flex: 0 1 auto;
margin-top: auto;
margin-bottom: auto;
}
.badge-img {
height: auto;
max-width: 130px;
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 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: end{
height: 17px;
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}
: :-webkit-scrollbar-button: horizontal: start{
width: 17px;
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}
: :-webkit-scrollbar-button: horizontal: end{
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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_samples",
"const",
"max_depth",
"threshold"
];
var tab_results_csv_json = [
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1741854909.4824522,
30,
14,
47
],
[
1741854910.4775355,
30,
13,
43
],
[
1741854910.625739,
30,
13,
43
],
[
1741854911.6240249,
30,
12,
40
],
[
1741854911.7681487,
30,
12,
40
],
[
1741854912.765663,
30,
11,
37
],
[
1741854912.9314778,
30,
11,
37
],
[
1741854913.954453,
30,
10,
33
],
[
1741854914.097019,
30,
10,
33
],
[
1741854915.1230762,
30,
9,
30
],
[
1741854915.2679837,
30,
9,
30
],
[
1741854916.2749007,
30,
8,
27
],
[
1741854916.4371326,
30,
8,
27
],
[
1741854917.5008519,
30,
7,
23
],
[
1741854917.665392,
30,
7,
23
],
[
1741854919.0661929,
30,
6,
20
],
[
1741854919.2139473,
30,
6,
20
],
[
1741854935.0188777,
30,
5,
17
],
[
1741854951.5192292,
30,
4,
13
],
[
1741854953.2154841,
30,
3,
10
],
[
1741854953.363558,
30,
3,
10
],
[
1741854954.2145932,
30,
2,
7
],
[
1741854954.307299,
30,
2,
7
],
[
1741854956.7235372,
30,
1,
3
],
[
1741854956.8826466,
30,
0,
0
]
];
var tab_main_worker_cpu_ram_csv_json = [
[
1741783196,
599.34375,
39
],
[
1741783196,
599.37890625,
37.9
],
[
1741783196,
599.48828125,
37.9
],
[
1741783196,
599.48828125,
40.5
],
[
1741783196,
599.48828125,
34.8
],
[
1741783196,
599.48828125,
37.6
],
[
1741783196,
599.48828125,
33.6
],
[
1741783268,
612.28125,
38
],
[
1741783268,
612.28125,
36.4
],
[
1741783268,
612.28125,
39.5
],
[
1741783268,
612.28125,
41.1
],
[
1741805648,
682.7734375,
38.7
],
[
1741805648,
682.7734375,
41.8
],
[
1741805648,
682.7734375,
41.8
],
[
1741805648,
682.7734375,
29.4
],
[
1741818570,
694.30078125,
37.9
],
[
1741818570,
694.30078125,
33.8
],
[
1741818570,
694.30078125,
34
],
[
1741818570,
694.30078125,
34
],
[
1741826452,
693.02734375,
41.1
],
[
1741826452,
693.02734375,
39
],
[
1741826452,
693.02734375,
37.9
],
[
1741826452,
693.02734375,
32.4
],
[
1741831731,
727.55078125,
38
],
[
1741831731,
727.55078125,
36
],
[
1741831732,
727.55078125,
35.4
],
[
1741831732,
727.55078125,
37.3
],
[
1741835320,
747.484375,
39
],
[
1741835320,
747.484375,
40.1
],
[
1741835320,
747.484375,
40.1
],
[
1741835320,
747.484375,
41.9
],
[
1741839116,
721.9296875,
38.9
],
[
1741839116,
721.9296875,
40.8
],
[
1741839116,
721.9296875,
42
],
[
1741839116,
721.9296875,
41.9
],
[
1741842346,
735.4453125,
40.6
],
[
1741842346,
735.4453125,
41.6
],
[
1741842346,
735.4453125,
41.8
],
[
1741842346,
735.4453125,
44.2
],
[
1741846029,
745.734375,
40.7
],
[
1741846029,
745.734375,
41.5
],
[
1741846029,
745.734375,
41.9
],
[
1741846029,
745.734375,
44.3
],
[
1741850448,
764.26171875,
40.6
],
[
1741850448,
764.26171875,
37
],
[
1741850448,
764.26171875,
36.9
],
[
1741850448,
764.26171875,
41.3
],
[
1741854959,
767.296875,
40.5
],
[
1741854959,
767.296875,
41.1
],
[
1741854959,
767.296875,
40.3
],
[
1741854959,
767.296875,
39.6
]
];
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 = `
.scroll-arrow {
position: fixed;
right: 10px;
z-index: 100;
cursor: pointer;
font-size: 25px;
display: none;
background-color: green;
color: white;
padding: 5px;
outline: 2px solid white;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
transition: background-color 0.3s, transform 0.3s;
}
.scroll-arrow:hover {
background-color: darkgreen;
transform: scale(1.1);
}
#up-arrow {
top: 10px;
}
#down-arrow {
bottom: 10px;
}
`;
document.head.appendChild(style);
upArrow.id = "up-arrow";
upArrow.classList.add("scroll-arrow");
upArrow.classList.add("invert_in_dark_mode");
upArrow.innerHTML = "↑";
downArrow.id = "down-arrow";
downArrow.classList.add("scroll-arrow");
downArrow.classList.add("invert_in_dark_mode");
downArrow.innerHTML = "↓";
document.body.appendChild(upArrow);
document.body.appendChild(downArrow);
function checkScrollPosition() {
const scrollPosition = window.scrollY;
const pageHeight = document.documentElement.scrollHeight;
const windowHeight = window.innerHeight;
if (scrollPosition > 0) {
upArrow.style.display = "block";
} else {
upArrow.style.display = "none";
}
if (scrollPosition + windowHeight < pageHeight) {
downArrow.style.display = "block";
} else {
downArrow.style.display = "none";
}
}
window.addEventListener("scroll", checkScrollPosition);
upArrow.addEventListener("click", function () {
window.scrollTo({ top: 0, behavior: 'smooth' });
});
downArrow.addEventListener("click", function () {
window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
});
checkScrollPosition();
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return;
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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);
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console.error("Error processing GPU data entry:", error, entry);
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mode: 'lines+markers',
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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'
};
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title: 'GPU Usage Over Time - ' + node,
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Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
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$("#tab_gpu_usage").data("loaded", "true");
}
function plotResultsDistributionByGenerationMethod() {
if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
return;
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var res_col = result_names[0];
var gen_method_col = "generation_node";
var data = {};
tab_results_csv_json.forEach(row => {
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var result = row[tab_results_headers_json.indexOf(res_col)];
if (!data[gen_method]) {
data[gen_method] = [];
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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',
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title: get_axis_title_data("Generation Method")
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boxmode: 'group'
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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 => {
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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));
$("#plotJobStatusDistribution").data("loaded", "true");
}
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let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
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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)];
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cells.forEach(el => {
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el.style.backgroundColor = colorMap[value];
el.classList.add("invert_in_dark_mode");
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function colorize_table_entries () {
setTimeout(() => {
if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
_colorize_table_entries_by_trial_status();
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if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
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let searchInput = document.querySelector(".gridjs-search-input");
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let i = 0;
let tabs = $('menu[role="tablist"] > button');
setInterval(() => {
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plot_bgcolor: 'rgba(0, 0, 0, 0)',
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Plotly.relayout(element, layout)
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make_text_in_parallel_plot_nicer();
apply_theme_based_on_system_preferences();
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$(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_samples</td><td>range</td><td>100</td><td>1000</td><td>int</td><td>No </td></tr><tr><td> const</td><td>range</td><td>0.1</td><td>1</td><td>float</td><td>No </td></tr><tr><td> max_depth</td><td>range</td><td>2</td><td>4</td><td>int</td><td>No </td></tr><tr><td> threshold</td><td>range</td><td>0.2</td><td>0.8</td><td>float</td><td>No </td></tr></tbody></table><br><h2>Number of evaluations:</h2>
<table>
<tbody>
<tr>
<th>Failed</th>
<th>Succeeded</th>
<th>Running</th>
<th>Total</th>
</tr>
<tr>
<td>28</td>
<td>301</td>
<td>1</td>
<td>330</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_samples,const,max_depth,threshold
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.562999999999999944932937978592,1.836056947708129882812500000000,1601,186,0.614350324869155861584602007497,3,0.266406662762165069580078125000
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.546499999999999985789145284798,0.391651868820190429687500000000,2440,588,0.219313858635723613055290570628,4,0.565328308567404791418198328756
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.557000000000000050626169922907,1.143774032592773437500000000000,3932,427,0.958290857728570699691772460938,2,0.729585168138146444860581141256
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.548000000000000042632564145606,0.296093463897705078125000000000,108,831,0.351794952061027288436889648438,3,0.440217411704361460955681195628
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.549499999999999988453680543898,0.675510883331298828125000000000,529,479,0.101408568769693382960461747189,3,0.419464379921555552410694645005
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.548000000000000042632564145606,0.778423309326171875000000000000,3451,977,0.732309666275978043969985264994,2,0.711319014616310640874985438131
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.558000000000000051514348342607,1.124483823776245117187500000000,2956,264,0.458725725580006904458230110322,4,0.575026843883097216192368250631
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.549499999999999988453680543898,0.630348205566406250000000000000,1024,761,0.851306007523089602884169835306,2,0.292652284726500511169433593750
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.557000000000000050626169922907,13.416234493255615234375000000000,1391,338,0.524221495352685473712028851878,2,0.521130566671490713659409266256
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.548000000000000042632564145606,0.491988182067871093750000000000,2588,837,0.813990251533687092511115679372,3,0.234121214039623770641895816880
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.573500000000000009769962616701,1.811670303344726562500000000000,3083,124,0.208185307215899229049682617188,2,0.473392173089087042736622379380
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.550499999999999989341858963598,0.695855379104614257812500000000,896,621,0.709852974396198987960815429688,4,0.769963837787509097765337173769
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.557000000000000050626169922907,7.268568038940429687500000000000,505,270,0.924435778334736779626723546244,4,0.670967631973326206207275390625
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.549499999999999988453680543898,0.822728157043457031250000000000,3536,672,0.413720175251364730151237836253,3,0.386262260004878066332878461253
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.548000000000000042632564145606,0.334431886672973632812500000000,2043,512,0.595464154426008529519265266572,4,0.324983616545796438757065516256
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.548000000000000042632564145606,0.919113874435424804687500000000,1998,915,0.322629913780838273318352094066,2,0.619178630597889467779282313131
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.549499999999999988453680543898,0.749861717224121093750000000000,1843,539,0.784751607570797204971313476562,4,0.459742147661745592657212000631
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.548000000000000042632564145606,0.251266002655029296875000000000,2136,937,0.498967004660517021719101649069,2,0.746901270374655812389619313763
18,18_0,FAILED,Sobol,GenerationStep_0,,,3629,302,0.678884793445467926709113726247,3,0.545588347688317432115923111269
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.545499999999999984900966865098,0.335412979125976562500000000000,350,703,0.181146562471985822506681529376,2,0.249159300513565551415950949377
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.567999999999999949373830077093,1.228022336959838867187500000000,801,153,0.384509751480072714535651812184,2,0.310494739189744017870964398753
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.549499999999999988453680543898,0.782208681106567382812500000000,3240,655,0.899154790770262501986564984691,4,0.595343586988747119903564453125
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.557000000000000050626169922907,14.598809957504272460937500000000,2745,361,0.291633519344031810760498046875,3,0.693407819606363884368249728141
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.549499999999999988453680543898,0.734997510910034179687500000000,1296,862,0.568451913259923613530588681897,4,0.399362861737608931811394086253
24,24_0,FAILED,Sobol,GenerationStep_0,,,1180,237,0.241079169232398277111784068438,4,0.789486365392804145812988281250
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.549499999999999988453680543898,8.416156053543090820312500000000,2861,739,0.647076303232461236270012250316,2,0.490710483677685327386086555634
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.554000000000000047961634663807,1.175789833068847656250000000000,3356,446,0.375291620194912023400490852509,4,0.214374467171728616543546763751
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.548000000000000042632564145606,0.468670129776000976562500000000,686,947,0.992802929133176803588867187500,3,0.503889990970492362976074218750
28,28_0,FAILED,Sobol,GenerationStep_0,,,201,398,0.754048480000346854623671788431,3,0.637014299072325318462617360638
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.549499999999999988453680543898,0.829252243041992187500000000000,3777,797,0.134162785764783631936580832189,4,0.345307145640254053997608707505
30,30_0,COMPLETED,Sobol,GenerationStep_0,0.558499999999999996447286321199,0.956487894058227539062500000000,2285,162,0.874829179234802745135368695628,2,0.368348856642842337194565516256
31,31_0,COMPLETED,Sobol,GenerationStep_0,0.550499999999999989341858963598,0.697490930557250976562500000000,1693,562,0.493209583498537607049172493134,3,0.650868322141468613750703298138
32,32_0,COMPLETED,Sobol,GenerationStep_0,0.556499999999999994670929481799,1.097887039184570312500000000000,1646,415,0.189652599953115008624138226878,4,0.282354167290031932147087445628
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.571999999999999952926543755893,3.228947877883911132812500000000,3609,100,0.100000000000000005551115123126,2,0.335680760078621021058609130705
34,34_0,FAILED,BoTorch,GenerationStep_1,,,2496,100,0.100000000000000005551115123126,3,0.350143505964879808711742725791
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,3.230874776840209960937500000000,4000,100,0.111860456526727283788069655657,2,0.200000000000000011102230246252
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,3.340622425079345703125000000000,4000,100,0.499855443818644606945866826209,2,0.200000000000000011102230246252
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.555000000000000048849813083507,8.415257215499877929687500000000,2167,100,0.232887231672805200544118520156,4,0.411565146942177328970302596645
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.565500000000000002664535259100,1.582830429077148437500000000000,2649,100,0.876335434469173613081238727318,2,0.200000000000000011102230246252
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.552000000000000046185277824407,0.326664924621582031250000000000,10,100,0.100000000000000005551115123126,2,0.364684083625788746374496440694
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.568999999999999950262008496793,3.653851985931396484375000000000,3800,100,0.100000000000000005551115123126,3,0.244460662699034020350907780994
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.568500000000000005329070518201,1.682587385177612304687500000000,2824,100,1.000000000000000000000000000000,2,0.800000000000000044408920985006
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.552000000000000046185277824407,0.460851669311523437500000000000,10,100,1.000000000000000000000000000000,2,0.200000000000000011102230246252
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.556499999999999994670929481799,1.264521121978759765625000000000,4000,312,0.100000000000000005551115123126,2,0.200000000000000011102230246252
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,3.595729351043701171875000000000,4000,100,0.100000000000000005551115123126,4,0.200000000000000011102230246252
45,45_0,FAILED,BoTorch,GenerationStep_1,,,10,100,0.100000000000000005551115123126,2,0.200000000000000011102230246252
46,46_0,FAILED,BoTorch,GenerationStep_1,,,4000,100,0.100000000000000005551115123126,4,0.503362326141806537549427957856
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.562500000000000000000000000000,1.737657785415649414062500000000,2401,100,1.000000000000000000000000000000,4,0.200000000000000011102230246252
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.234927177429199218750000000000,10,223,0.100000000000000005551115123126,3,0.200000000000000011102230246252
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.561000000000000054178883601708,5.695564031600952148437500000000,3649,182,0.100000000000000005551115123126,2,0.383738567582161793634298874167
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.547499999999999986677323704498,0.652610778808593750000000000000,10,222,0.128229265164319317094054895279,4,0.404830781812960782684029936718
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,3.236053228378295898437500000000,3195,100,0.532117338346407953153516245948,4,0.200000000000000011102230246252
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.568500000000000005329070518201,2.423663377761840820312500000000,799,100,0.562310656404194419977216057305,4,0.399386617246758279797802515532
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.562500000000000000000000000000,1.375101566314697265625000000000,3778,294,0.100000000000000005551115123126,3,0.222910453164280375482064755488
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.562500000000000000000000000000,1.914181470870971679687500000000,3921,181,0.283127024921359160547496003346,3,0.200000000000000011102230246252
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,1.513440608978271484375000000000,10,740,1.000000000000000000000000000000,3,0.800000000000000044408920985006
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,3.121981382369995117187500000000,4000,100,1.000000000000000000000000000000,3,0.200000000000000011102230246252
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.570500000000000007105427357601,2.365067243576049804687500000000,3039,100,0.212389170906801594274071476320,4,0.324068172793070152781780279838
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.558000000000000051514348342607,1.261361598968505859375000000000,3991,310,0.100000000000000005551115123126,2,0.319837376599128364595969742368
59,59_0,FAILED,BoTorch,GenerationStep_1,,,10,100,0.100000000000000005551115123126,4,0.200000000000000011102230246252
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.567500000000000004440892098501,0.989117383956909179687500000000,2497,151,1.000000000000000000000000000000,2,0.200000000000000011102230246252
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.570999999999999952038365336193,2.571671485900878906250000000000,3659,100,0.100000000000000005551115123126,2,0.800000000000000044408920985006
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.559499999999999997335464740900,1.013738632202148437500000000000,2399,193,1.000000000000000000000000000000,2,0.663431218065548611306780912855
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.560499999999999998223643160600,1.193192005157470703125000000000,3994,258,0.100000000000000005551115123126,2,0.800000000000000044408920985006
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.567999999999999949373830077093,1.701237201690673828125000000000,3108,146,1.000000000000000000000000000000,2,0.800000000000000044408920985006
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,3.147752761840820312500000000000,4000,100,1.000000000000000000000000000000,2,0.800000000000000044408920985006
66,66_0,FAILED,BoTorch,GenerationStep_1,,,2455,228,1.000000000000000000000000000000,2,0.336445444231173174109983392555
67,67_0,FAILED,BoTorch,GenerationStep_1,,,1495,167,1.000000000000000000000000000000,2,0.800000000000000044408920985006
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.558499999999999996447286321199,2.098521471023559570312500000000,2620,182,0.100000000000000005551115123126,2,0.200000000000000011102230246252
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.557000000000000050626169922907,1.881011247634887695312500000000,2594,234,0.100000000000000005551115123126,2,0.800000000000000044408920985006
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.564999999999999946709294817992,2.547146558761596679687500000000,511,100,1.000000000000000000000000000000,2,0.800000000000000044408920985006
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.560499999999999998223643160600,2.378461122512817382812500000000,3292,223,0.100000000000000005551115123126,2,0.800000000000000044408920985006
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.546499999999999985789145284798,0.220842361450195312500000000000,2015,184,0.100000000000000005551115123126,2,0.800000000000000044408920985006
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.572500000000000008881784197001,2.143093109130859375000000000000,3754,137,0.100000000000000005551115123126,2,0.800000000000000044408920985006
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.559000000000000052402526762307,0.866966009140014648437500000000,2672,259,1.000000000000000000000000000000,2,0.200000000000000011102230246252
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.567500000000000004440892098501,2.511789560317993164062500000000,3253,100,0.100000000000000005551115123126,2,0.800000000000000044408920985006
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.459646463394165039062500000000,2180,214,0.100000000000000005551115123126,2,0.529321487856120209691823674802
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.562500000000000000000000000000,43.672522783279418945312500000000,3524,260,1.000000000000000000000000000000,2,0.800000000000000044408920985006
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.560499999999999998223643160600,6.519742250442504882812500000000,4000,235,1.000000000000000000000000000000,2,0.200000000000000011102230246252
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.565500000000000002664535259100,1.444552421569824218750000000000,602,141,1.000000000000000000000000000000,2,0.800000000000000044408920985006
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.358035326004028320312500000000,2101,215,0.100000000000000005551115123126,2,0.800000000000000044408920985006
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.565500000000000002664535259100,1.312416791915893554687500000000,2705,141,0.100000000000000005551115123126,2,0.200000000000000011102230246252
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.567999999999999949373830077093,20.405398845672607421875000000000,2783,153,0.100000000000000005551115123126,2,0.800000000000000044408920985006
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.567999999999999949373830077093,2.691075801849365234375000000000,3216,100,1.000000000000000000000000000000,4,0.626748298746752974253126922122
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.558499999999999996447286321199,1.514292240142822265625000000000,2618,206,1.000000000000000000000000000000,4,0.200000000000000011102230246252
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.557499999999999995559107901499,1.157360076904296875000000000000,3925,268,1.000000000000000000000000000000,2,0.557679389958940507909801453934
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.565999999999999947597473237693,2.630187273025512695312500000000,4000,172,0.100000000000000005551115123126,2,0.800000000000000044408920985006
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.577500000000000013322676295502,30.613717794418334960937500000000,3546,120,1.000000000000000000000000000000,4,0.800000000000000044408920985006
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.556499999999999994670929481799,0.674300193786621093750000000000,169,161,1.000000000000000000000000000000,2,0.560820159199412082706714954838
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.548499999999999987565502124198,0.553963422775268554687500000000,10,157,1.000000000000000000000000000000,2,0.342978099975426053980243068509
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.570500000000000007105427357601,9.314565896987915039062500000000,1031,100,1.000000000000000000000000000000,4,0.200000000000000011102230246252
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.200377464294433593750000000000,10,1000,0.100000000000000005551115123126,2,0.200000000000000011102230246252
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.573999999999999954702900595294,2.638882875442504882812500000000,938,100,0.100000000000000005551115123126,2,0.200000000000000011102230246252
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.318100929260253906250000000000,10,1000,1.000000000000000000000000000000,4,0.200000000000000011102230246252
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.572500000000000008881784197001,2.671420812606811523437500000000,960,100,1.000000000000000000000000000000,2,0.200000000000000011102230246252
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.185882568359375000000000000000,10,1000,0.100000000000000005551115123126,2,0.800000000000000044408920985006
96,96_0,FAILED,BoTorch,GenerationStep_1,,,974,100,0.100000000000000005551115123126,4,0.200000000000000011102230246252
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,1.074583053588867187500000000000,4000,1000,0.100000000000000005551115123126,4,0.200000000000000011102230246252
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.559000000000000052402526762307,0.808221578598022460937500000000,1001,359,1.000000000000000000000000000000,2,0.200000000000000011102230246252
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.285538673400878906250000000000,10,1000,0.100000000000000005551115123126,4,0.200000000000000011102230246252
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.241953134536743164062500000000,10,1000,1.000000000000000000000000000000,2,0.200000000000000011102230246252
101,101_0,FAILED,BoTorch,GenerationStep_1,,,1015,349,0.100000000000000005551115123126,2,0.200000000000000011102230246252
102,102_0,FAILED,BoTorch,GenerationStep_1,,,4000,1000,0.100000000000000005551115123126,2,0.200000000000000011102230246252
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.571999999999999952926543755893,3.275682926177978515625000000000,3615,100,0.100000000000000005551115123126,4,0.800000000000000044408920985006
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.572500000000000008881784197001,2.961946964263916015625000000000,924,100,0.100000000000000005551115123126,4,0.800000000000000044408920985006
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.557000000000000050626169922907,14.257682800292968750000000000000,808,313,1.000000000000000000000000000000,4,0.200000000000000011102230246252
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.361107587814331054687500000000,10,1000,0.100000000000000005551115123126,4,0.800000000000000044408920985006
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.565999999999999947597473237693,30.426009893417358398437500000000,3161,100,1.000000000000000000000000000000,2,0.200000000000000011102230246252
108,108_0,FAILED,BoTorch,GenerationStep_1,,,1563,1000,1.000000000000000000000000000000,4,0.200000000000000011102230246252
109,109_0,FAILED,BoTorch,GenerationStep_1,,,1032,275,0.100000000000000005551115123126,4,0.200000000000000011102230246252
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.573500000000000009769962616701,3.280963420867919921875000000000,3562,100,1.000000000000000000000000000000,4,0.200000000000000011102230246252
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.563999999999999945821116398292,1.964596748352050781250000000000,560,100,1.000000000000000000000000000000,4,0.200000000000000011102230246252
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.569500000000000006217248937901,1.554437160491943359375000000000,754,100,0.100000000000000005551115123126,2,0.800000000000000044408920985006
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.866750478744506835937500000000,1330,1000,0.100000000000000005551115123126,2,0.200000000000000011102230246252
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,12.735437154769897460937500000000,2949,1000,0.100000000000000005551115123126,2,0.200000000000000011102230246252
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,31.914982795715332031250000000000,4000,1000,0.100000000000000005551115123126,2,0.761426310697840058594465517672
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.570999999999999952038365336193,3.015060186386108398437500000000,3624,100,0.100000000000000005551115123126,4,0.466274349464551818300606100820
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.787643909454345703125000000000,4000,1000,1.000000000000000000000000000000,2,0.200000000000000011102230246252
118,118_0,FAILED,BoTorch,GenerationStep_1,,,421,100,0.100000000000000005551115123126,2,0.200000000000000011102230246252
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.554499999999999992894572642399,1.028133392333984375000000000000,1118,465,0.100000000000000005551115123126,4,0.200000000000000011102230246252
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.569999999999999951150186916493,25.453010559082031250000000000000,1062,100,0.100000000000000005551115123126,4,0.200000000000000011102230246252
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.557499999999999995559107901499,1.379261016845703125000000000000,932,250,0.100000000000000005551115123126,4,0.200000000000000011102230246252
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.563500000000000000888178419700,32.206159591674804687500000000000,483,100,0.100000000000000005551115123126,2,0.200000000000000011102230246252
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.570500000000000007105427357601,1.887698411941528320312500000000,1046,100,0.100000000000000005551115123126,2,0.564444724150628962533460253326
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.557000000000000050626169922907,1.037611246109008789062500000000,945,324,0.100000000000000005551115123126,2,0.200000000000000011102230246252
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.558499999999999996447286321199,0.930428028106689453125000000000,630,216,0.100000000000000005551115123126,4,0.800000000000000044408920985006
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.381434440612792968750000000000,2198,1000,1.000000000000000000000000000000,4,0.200000000000000011102230246252
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.458139896392822265625000000000,323,1000,1.000000000000000000000000000000,4,0.800000000000000044408920985006
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.563500000000000000888178419700,0.977206230163574218750000000000,1001,213,0.100000000000000005551115123126,2,0.200000000000000011102230246252
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.559499999999999997335464740900,1.016789674758911132812500000000,847,275,0.507248905046854603462236354972,2,0.200000000000000011102230246252
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.569999999999999951150186916493,2.429241895675659179687500000000,1091,100,0.419314860059755489807287176518,2,0.200000000000000011102230246252
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.913686513900756835937500000000,1538,1000,1.000000000000000000000000000000,4,0.200000000000000011102230246252
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.565999999999999947597473237693,1.464364051818847656250000000000,273,100,0.100000000000000005551115123126,4,0.800000000000000044408920985006
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.563999999999999945821116398292,1.120146751403808593750000000000,311,100,0.100000000000000005551115123126,2,0.800000000000000044408920985006
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.501664400100708007812500000000,782,1000,1.000000000000000000000000000000,2,0.200000000000000011102230246252
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.565500000000000002664535259100,1.853736400604248046875000000000,637,100,0.100000000000000005551115123126,4,0.200000000000000011102230246252
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.553499999999999992006394222699,0.566410064697265625000000000000,372,259,0.100000000000000005551115123126,2,0.800000000000000044408920985006
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.550499999999999989341858963598,0.784968614578247070312500000000,1280,624,0.100000000000000005551115123126,4,0.200000000000000011102230246252
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,12.615595102310180664062500000000,1659,1000,1.000000000000000000000000000000,2,0.200000000000000011102230246252
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.554000000000000047961634663807,0.773911237716674804687500000000,740,409,0.100000000000000005551115123126,2,0.200000000000000011102230246252
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.549499999999999988453680543898,16.786210298538208007812500000000,1395,671,1.000000000000000000000000000000,4,0.200000000000000011102230246252
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.556499999999999994670929481799,1.094962120056152343750000000000,188,100,0.100000000000000005551115123126,2,0.200000000000000011102230246252
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.558000000000000051514348342607,0.993042707443237304687500000000,1204,373,0.100000000000000005551115123126,4,0.200000000000000011102230246252
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.561000000000000054178883601708,1.517192125320434570312500000000,3859,288,0.100000000000000005551115123126,4,0.200000000000000011102230246252
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.572999999999999953814722175593,3.106450557708740234375000000000,3605,100,0.100000000000000005551115123126,4,0.200000000000000011102230246252
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.557000000000000050626169922907,0.742607593536376953125000000000,671,350,0.465437153896784194806457435334,2,0.200000000000000011102230246252
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.561000000000000054178883601708,1.335902452468872070312500000000,241,100,0.100000000000000005551115123126,4,0.200000000000000011102230246252
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.608810663223266601562500000000,956,1000,0.100000000000000005551115123126,4,0.200000000000000011102230246252
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.560499999999999998223643160600,1.880728960037231445312500000000,1049,189,0.100000000000000005551115123126,4,0.200000000000000011102230246252
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.559499999999999997335464740900,3.960346221923828125000000000000,1011,223,0.545124571774201149843008806783,4,0.200000000000000011102230246252
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.563500000000000000888178419700,1.257151365280151367187500000000,439,100,0.100000000000000005551115123126,2,0.578417125050673108788146237202
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.565500000000000002664535259100,29.480453729629516601562500000000,631,100,0.100000000000000005551115123126,4,0.575275361830804743412670632097
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.203375577926635742187500000000,10,1000,0.100000000000000005551115123126,2,0.533485473067533577662402421993
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.568500000000000005329070518201,2.074917554855346679687500000000,996,100,1.000000000000000000000000000000,2,0.800000000000000044408920985006
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.562500000000000000000000000000,1.745618820190429687500000000000,369,100,1.000000000000000000000000000000,4,0.601549209524293027051555782236
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.552499999999999991118215802999,1.131730794906616210937500000000,126,102,0.100000000000000005551115123126,4,0.630958216378199709950536089309
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.570999999999999952038365336193,4.613675117492675781250000000000,3630,100,1.000000000000000000000000000000,4,0.490877284908613820135769856279
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.183393955230712890625000000000,10,1000,1.000000000000000000000000000000,2,0.593868753298364526749253400340
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,1.636058807373046875000000000000,745,100,0.100000000000000005551115123126,2,0.567220316227526666352787287906
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.573999999999999954702900595294,2.205285310745239257812500000000,945,100,1.000000000000000000000000000000,2,0.505749684874287175340157318715
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.552000000000000046185277824407,0.840811252593994140625000000000,150,100,1.000000000000000000000000000000,2,0.800000000000000044408920985006
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.563500000000000000888178419700,1.265896797180175781250000000000,460,100,1.000000000000000000000000000000,2,0.547061220065122810751745419111
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.565999999999999947597473237693,1.364018201828002929687500000000,277,100,0.100000000000000005551115123126,4,0.507214383445778183023833207699
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.552000000000000046185277824407,0.661324739456176757812500000000,99,100,0.100000000000000005551115123126,2,0.607084548002747692585501226858
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.558499999999999996447286321199,0.899559259414672851562500000000,969,305,0.100000000000000005551115123126,2,0.527170805250827934074209224491
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.334767103195190429687500000000,168,1000,0.100000000000000005551115123126,4,0.562700151627142153287763903791
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.552000000000000046185277824407,0.876668453216552734375000000000,10,100,1.000000000000000000000000000000,4,0.800000000000000044408920985006
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.552000000000000046185277824407,4.109924793243408203125000000000,10,100,0.100000000000000005551115123126,4,0.800000000000000044408920985006
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.183969497680664062500000000000,10,1000,1.000000000000000000000000000000,2,0.800000000000000044408920985006
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.552186012268066406250000000000,918,1000,0.100000000000000005551115123126,2,0.500362174257738545612994585099
170,170_0,FAILED,BoTorch,GenerationStep_1,,,1170,369,0.100000000000000005551115123126,4,0.516461668276136820487920431333
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.569999999999999951150186916493,1.990304470062255859375000000000,1091,100,1.000000000000000000000000000000,2,0.559660569236666960435400142160
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.572500000000000008881784197001,1.909701108932495117187500000000,926,100,0.100000000000000005551115123126,2,0.460152958559933877857872630557
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.450239658355712890625000000000,10,1000,1.000000000000000000000000000000,4,0.518457935278418213798090619093
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.564999999999999946709294817992,1.968754768371582031250000000000,529,100,0.100000000000000005551115123126,4,0.800000000000000044408920985006
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.564999999999999946709294817992,1.860502004623413085937500000000,492,100,1.000000000000000000000000000000,4,0.800000000000000044408920985006
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.678607940673828125000000000000,1325,586,0.100000000000000005551115123126,4,0.487137931430989712389134638215
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.568500000000000005329070518201,2.471362352371215820312500000000,987,100,1.000000000000000000000000000000,4,0.552872318518910388362996854994
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,3.357691287994384765625000000000,3879,100,0.100000000000000005551115123126,4,0.368771099218119957630079852606
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.365618467330932617187500000000,490,1000,0.100000000000000005551115123126,2,0.800000000000000044408920985006
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.569999999999999951150186916493,1.923491477966308593750000000000,1082,100,0.100000000000000005551115123126,2,0.800000000000000044408920985006
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.558000000000000051514348342607,1.026422500610351562500000000000,812,234,0.100000000000000005551115123126,2,0.800000000000000044408920985006
182,182_0,FAILED,BoTorch,GenerationStep_1,,,123,100,0.100000000000000005551115123126,2,0.800000000000000044408920985006
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.549499999999999988453680543898,0.722262144088745117187500000000,4000,623,0.100000000000000005551115123126,4,0.200000000000000011102230246252
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.563999999999999945821116398292,13.704362630844116210937500000000,304,100,1.000000000000000000000000000000,2,0.800000000000000044408920985006
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.564500000000000001776356839400,1.647016286849975585937500000000,703,100,1.000000000000000000000000000000,2,0.800000000000000044408920985006
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.553499999999999992006394222699,0.673112869262695312500000000000,373,325,1.000000000000000000000000000000,2,0.800000000000000044408920985006
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.564999999999999946709294817992,28.900764942169189453125000000000,528,100,0.100000000000000005551115123126,2,0.800000000000000044408920985006
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.563999999999999945821116398292,1.179147720336914062500000000000,288,100,1.000000000000000000000000000000,2,0.533804125943046825497617646761
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.559000000000000052402526762307,1.623320817947387695312500000000,689,304,1.000000000000000000000000000000,2,0.800000000000000044408920985006
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.554499999999999992894572642399,0.844789981842041015625000000000,1151,464,0.100000000000000005551115123126,2,0.462004304603192583744686317004
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.431236743927001953125000000000,779,764,0.100000000000000005551115123126,2,0.800000000000000044408920985006
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.384260416030883789062500000000,2505,1000,0.100000000000000005551115123126,2,0.200000000000000011102230246252
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,41.899333238601684570312500000000,4000,100,1.000000000000000000000000000000,4,0.200000000000000011102230246252
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.175338268280029296875000000000,10,833,0.100000000000000005551115123126,2,0.800000000000000044408920985006
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.522453308105468750000000000000,717,744,0.100000000000000005551115123126,2,0.517218042482427642347886376228
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.853945255279541015625000000000,3521,1000,1.000000000000000000000000000000,4,0.200000000000000011102230246252
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.568500000000000005329070518201,2.312069654464721679687500000000,2809,100,0.100000000000000005551115123126,4,0.200000000000000011102230246252
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.559499999999999997335464740900,0.859932661056518554687500000000,832,276,1.000000000000000000000000000000,2,0.590420960318682075396168329462
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.567999999999999949373830077093,2.543129205703735351562500000000,3498,100,0.100000000000000005551115123126,2,0.200000000000000011102230246252
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.563500000000000000888178419700,1.293572187423706054687500000000,444,100,1.000000000000000000000000000000,2,0.200000000000000011102230246252
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.559000000000000052402526762307,0.917782783508300781250000000000,901,345,1.000000000000000000000000000000,2,0.403203406338211889359257611432
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.563999999999999945821116398292,1.309031009674072265625000000000,299,100,0.100000000000000005551115123126,2,0.574075754445592112418239594263
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.549499999999999988453680543898,0.690366029739379882812500000000,1137,650,0.100000000000000005551115123126,2,0.553094900107651277210152329644
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.558000000000000051514348342607,1.483144283294677734375000000000,4000,380,0.100000000000000005551115123126,4,0.200000000000000011102230246252
205,205_0,FAILED,BoTorch,GenerationStep_1,,,3619,1000,0.100000000000000005551115123126,4,0.200000000000000011102230246252
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.490886449813842773437500000000,2547,1000,0.100000000000000005551115123126,4,0.665210130558467671590960890171
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.331824541091918945312500000000,10,1000,1.000000000000000000000000000000,4,0.800000000000000044408920985006
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.571500000000000007993605777301,2.366367816925048828125000000000,1123,100,0.100000000000000005551115123126,4,0.429745548427406975910969322285
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,14.923258304595947265625000000000,819,1000,0.100000000000000005551115123126,4,0.800000000000000044408920985006
210,210_0,FAILED,BoTorch,GenerationStep_1,,,1222,534,0.482874597889027035169107193724,2,0.200000000000000011102230246252
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.563999999999999945821116398292,1.593054533004760742187500000000,594,100,0.710862429682215690718294354156,2,0.800000000000000044408920985006
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.189734697341918945312500000000,10,1000,0.564356553372392322209805115563,2,0.200000000000000011102230246252
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.559499999999999997335464740900,0.972352266311645507812500000000,1118,255,0.473942389455843882117846987967,2,0.800000000000000044408920985006
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.568500000000000005329070518201,1.691483259201049804687500000000,803,100,0.636654809255084774832766925101,2,0.200000000000000011102230246252
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.557000000000000050626169922907,0.844421386718750000000000000000,628,327,0.596916218646295737570994788257,2,0.800000000000000044408920985006
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.207558870315551757812500000000,10,827,0.627874932863387469339500057686,2,0.800000000000000044408920985006
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.554000000000000047961634663807,2.485521554946899414062500000000,1282,447,0.524008608543391707357272935042,4,0.200000000000000011102230246252
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.399456977844238281250000000000,10,1000,0.535315988840799228398736886447,4,0.800000000000000044408920985006
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.708990097045898437500000000000,3013,1000,1.000000000000000000000000000000,4,0.800000000000000044408920985006
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.548499999999999987565502124198,0.327983379364013671875000000000,10,882,0.472862531188317336550142044871,4,0.200000000000000011102230246252
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.762012958526611328125000000000,1141,595,0.532914551003773939719110330770,4,0.200000000000000011102230246252
222,222_0,FAILED,BoTorch,GenerationStep_1,,,3656,333,0.100000000000000005551115123126,4,0.800000000000000044408920985006
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.571500000000000007993605777301,2.030368566513061523437500000000,1053,100,0.572331141503159224193097998068,2,0.800000000000000044408920985006
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.563500000000000000888178419700,1.816139459609985351562500000000,414,100,0.662025325975342471274132094550,4,0.800000000000000044408920985006
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.301839113235473632812500000000,10,790,0.100000000000000005551115123126,4,0.200000000000000011102230246252
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.558499999999999996447286321199,1.141319274902343750000000000000,685,183,0.564552420709401148180006657640,2,0.200000000000000011102230246252
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.297310352325439453125000000000,10,749,0.559897792150287010315423685824,2,0.200000000000000011102230246252
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.549499999999999988453680543898,0.536377191543579101562500000000,413,459,0.495628299571253039257356931557,2,0.200000000000000011102230246252
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.558000000000000051514348342607,0.875259399414062500000000000000,1215,367,0.591014456110472763405994101049,2,0.200000000000000011102230246252
230,230_0,FAILED,BoTorch,GenerationStep_1,,,835,501,0.544357975218981327003575643175,2,0.800000000000000044408920985006
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.558499999999999996447286321199,0.941745042800903320312500000000,1251,430,0.456600018734245327589604812601,2,0.200000000000000011102230246252
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.557000000000000050626169922907,1.026208162307739257812500000000,213,100,0.606127593438590572816337953554,2,0.800000000000000044408920985006
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.553000000000000047073456244107,1.033406734466552734375000000000,4000,461,0.100000000000000005551115123126,2,0.200000000000000011102230246252
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.558499999999999996447286321199,1.070173501968383789062500000000,1274,418,0.100000000000000005551115123126,4,0.800000000000000044408920985006
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.546499999999999985789145284798,0.433207750320434570312500000000,431,595,0.405923542541120951909761060961,4,0.800000000000000044408920985006
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.955476045608520507812500000000,1262,492,0.100000000000000005551115123126,2,0.200000000000000011102230246252
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.549499999999999988453680543898,0.659946918487548828125000000000,1308,664,0.530185574722737307240549853304,2,0.200000000000000011102230246252
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.564500000000000001776356839400,1.538858413696289062500000000000,1179,209,0.492390439879246077925500912897,2,0.200000000000000011102230246252
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.578868150711059570312500000000,1111,548,1.000000000000000000000000000000,2,0.200000000000000011102230246252
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.563999999999999945821116398292,1.135360002517700195312500000000,307,100,0.725345550870220456829429167556,2,0.200000000000000011102230246252
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.563999999999999945821116398292,1.481265544891357421875000000000,3725,247,0.100000000000000005551115123126,4,0.800000000000000044408920985006
242,242_0,FAILED,BoTorch,GenerationStep_1,,,554,379,0.569873791078748803684561607952,2,0.800000000000000044408920985006
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.558000000000000051514348342607,1.149024486541748046875000000000,1106,356,0.515639500293235575334449549700,2,0.800000000000000044408920985006
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.568999999999999950262008496793,1.464241027832031250000000000000,1085,157,0.521612064106081851910801105987,2,0.800000000000000044408920985006
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.029168844223022460937500000000,1239,294,0.505656722823153215173874741595,2,0.200000000000000011102230246252
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.554499999999999992894572642399,1.141820669174194335937500000000,3753,372,0.100000000000000005551115123126,4,0.800000000000000044408920985006
247,247_0,FAILED,BoTorch,GenerationStep_1,,,1267,526,0.490959552930424480976512313646,2,0.200000000000000011102230246252
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.561000000000000054178883601708,1.694310188293457031250000000000,3684,204,0.100000000000000005551115123126,4,0.200000000000000011102230246252
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,24.001817464828491210937500000000,1396,546,0.409760661188157682133237358357,4,0.800000000000000044408920985006
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.570999999999999952038365336193,3.337843179702758789062500000000,3635,100,0.404298818595860365299188288191,4,0.800000000000000044408920985006
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.565999999999999947597473237693,11.603318214416503906250000000000,1163,100,0.751403130146733655436719345744,2,0.200000000000000011102230246252
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.558349609375000000000000000000,1033,1000,1.000000000000000000000000000000,2,0.800000000000000044408920985006
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.565999999999999947597473237693,1.610149145126342773437500000000,275,100,0.745874152086173913822619851999,4,0.200000000000000011102230246252
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.557000000000000050626169922907,18.956960201263427734375000000000,206,100,1.000000000000000000000000000000,4,0.200000000000000011102230246252
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.547499999999999986677323704498,0.457540988922119140625000000000,269,475,0.598281799593239793644272594975,2,0.800000000000000044408920985006
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.552000000000000046185277824407,0.565418720245361328125000000000,289,266,0.696864493331798673381172193331,2,0.200000000000000011102230246252
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.559499999999999997335464740900,1.214309930801391601562500000000,1021,258,0.459678955734667660237846575910,4,0.800000000000000044408920985006
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.570999999999999952038365336193,3.280164957046508789062500000000,3695,100,0.326887811407324091472759164390,2,0.800000000000000044408920985006
259,259_0,FAILED,BoTorch,GenerationStep_1,,,1188,585,0.434534249279241280294883154056,2,0.800000000000000044408920985006
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.561000000000000054178883601708,1.437695026397705078125000000000,3733,226,0.100000000000000005551115123126,2,0.200000000000000011102230246252
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.557000000000000050626169922907,0.985420942306518554687500000000,3652,427,0.414743346264767220876734654667,2,0.200000000000000011102230246252
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.558000000000000051514348342607,0.837630033493041992187500000000,1223,390,0.100000000000000005551115123126,2,0.800000000000000044408920985006
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.559000000000000052402526762307,0.953348159790039062500000000000,692,221,0.673318738997284227387751798233,2,0.800000000000000044408920985006
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,7.083026170730590820312500000000,10,662,0.393221250771275510071944836454,4,0.800000000000000044408920985006
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.557000000000000050626169922907,20.391704797744750976562500000000,3669,420,0.100000000000000005551115123126,4,0.200000000000000011102230246252
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.623061418533325195312500000000,623,1000,0.647657748512361020054584059835,4,0.800000000000000044408920985006
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,25.945373535156250000000000000000,1154,1000,0.653187358102464421527599824913,4,0.200000000000000011102230246252
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.554000000000000047961634663807,0.807989358901977539062500000000,534,435,0.729570895805453423221820230538,2,0.200000000000000011102230246252
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.559000000000000052402526762307,0.963292360305786132812500000000,2801,329,0.100000000000000005551115123126,2,0.200000000000000011102230246252
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.576317071914672851562500000000,1249,534,0.439643070077976871878888687206,2,0.200000000000000011102230246252
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,1.590297460556030273437500000000,636,571,1.000000000000000000000000000000,2,0.800000000000000044408920985006
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,1.981279611587524414062500000000,10,739,1.000000000000000000000000000000,2,0.200000000000000011102230246252
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.654582738876342773437500000000,1049,514,0.441933810435847340691850604344,2,0.800000000000000044408920985006
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.549499999999999988453680543898,0.753312110900878906250000000000,566,448,0.650509987307452575144850470679,2,0.800000000000000044408920985006
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,3.502993822097778320312500000000,4000,100,0.228696687588217817399538489553,4,0.800000000000000044408920985006
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.182341575622558593750000000000,10,658,0.100000000000000005551115123126,2,0.200000000000000011102230246252
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.559000000000000052402526762307,1.124905347824096679687500000000,1251,297,0.100000000000000005551115123126,2,0.200000000000000011102230246252
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.555000000000000048849813083507,1.047049045562744140625000000000,377,250,0.435037633203181617336241515659,4,0.800000000000000044408920985006
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.549499999999999988453680543898,1.568865537643432617187500000000,3809,496,0.100000000000000005551115123126,2,0.800000000000000044408920985006
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.962999582290649414062500000000,1256,546,1.000000000000000000000000000000,2,0.800000000000000044408920985006
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.564500000000000001776356839400,1.621957302093505859375000000000,1221,203,0.100000000000000005551115123126,2,0.800000000000000044408920985006
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.561000000000000054178883601708,1.548078536987304687500000000000,230,100,0.492385190380457138381586901232,2,0.200000000000000011102230246252
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.499042034149169921875000000000,718,509,0.450943999220116298332072801713,2,0.800000000000000044408920985006
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.568999999999999950262008496793,1.523847579956054687500000000000,1111,158,0.100000000000000005551115123126,2,0.200000000000000011102230246252
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.349684953689575195312500000000,174,364,1.000000000000000000000000000000,2,0.800000000000000044408920985006
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.557000000000000050626169922907,0.879675149917602539062500000000,457,225,1.000000000000000000000000000000,2,0.200000000000000011102230246252
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.554000000000000047961634663807,0.715340137481689453125000000000,454,349,1.000000000000000000000000000000,2,0.200000000000000011102230246252
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.563999999999999945821116398292,1.692507266998291015625000000000,532,100,0.470744766226155630928218442932,2,0.800000000000000044408920985006
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,2.987057924270629882812500000000,4000,100,0.495310096405482624959404347464,2,0.800000000000000044408920985006
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.574195623397827148437500000000,985,648,0.100000000000000005551115123126,2,0.200000000000000011102230246252
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.569500000000000006217248937901,2.624902009963989257812500000000,3542,100,0.100000000000000005551115123126,2,0.800000000000000044408920985006
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.882835149765014648437500000000,3685,1000,0.484497948358860675011072771667,4,0.800000000000000044408920985006
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.553499999999999992006394222699,0.739735126495361328125000000000,416,330,0.569693063911693498013733005791,2,0.800000000000000044408920985006
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.213362216949462890625000000000,10,752,1.000000000000000000000000000000,2,0.800000000000000044408920985006
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.551000000000000045297099404706,0.582717418670654296875000000000,1161,533,0.100000000000000005551115123126,4,0.800000000000000044408920985006
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.557499999999999995559107901499,0.864768266677856445312500000000,1127,437,1.000000000000000000000000000000,2,0.800000000000000044408920985006
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.549499999999999988453680543898,0.663648128509521484375000000000,487,481,0.100000000000000005551115123126,2,0.200000000000000011102230246252
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.572999999999999953814722175593,2.657177209854125976562500000000,3602,100,0.298446145109695692987372694915,2,0.200000000000000011102230246252
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.565999999999999947597473237693,2.189522027969360351562500000000,1163,100,0.100000000000000005551115123126,2,0.200000000000000011102230246252
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.571999999999999952926543755893,2.811569690704345703125000000000,3610,100,0.858450015226950635671698819351,2,0.800000000000000044408920985006
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.572999999999999953814722175593,3.174452066421508789062500000000,3586,100,1.000000000000000000000000000000,4,0.800000000000000044408920985006
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.569500000000000006217248937901,2.823856353759765625000000000000,3523,100,0.740085886919554014617972370615,2,0.200000000000000011102230246252
303,303_0,RUNNING,BoTorch,GenerationStep_1,,,430,231,0.691132093848575435046655002225,2,0.800000000000000044408920985006
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.573999999999999954702900595294,3.115927696228027343750000000000,3576,100,0.634759565269752412675074992876,4,0.800000000000000044408920985006
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.620341777801513671875000000000,3196,1000,1.000000000000000000000000000000,2,0.800000000000000044408920985006
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.558000000000000051514348342607,0.974814176559448242187500000000,1049,297,0.306071570596137709774353652392,2,0.800000000000000044408920985006
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.566500000000000003552713678801,3.633045196533203125000000000000,4000,100,0.388792254978380547036920233950,4,0.200000000000000011102230246252
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.552499999999999991118215802999,0.904897212982177734375000000000,1173,475,0.100000000000000005551115123126,2,0.800000000000000044408920985006
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.554499999999999992894572642399,0.921237468719482421875000000000,1010,440,0.515572226539748545981467486854,2,0.800000000000000044408920985006
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.572999999999999953814722175593,2.614777803421020507812500000000,3594,100,1.000000000000000000000000000000,2,0.800000000000000044408920985006
311,311_0,FAILED,BoTorch,GenerationStep_1,,,407,266,1.000000000000000000000000000000,2,0.200000000000000011102230246252
312,312_0,FAILED,BoTorch,GenerationStep_1,,,785,315,0.440365191164929836720176581366,2,0.200000000000000011102230246252
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.554000000000000047961634663807,0.590091705322265625000000000000,360,343,0.542534714426308184442859783303,2,0.200000000000000011102230246252
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.549499999999999988453680543898,0.764304637908935546875000000000,4000,812,1.000000000000000000000000000000,2,0.200000000000000011102230246252
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.215248823165893554687500000000,10,811,0.203309667389722559249776168144,2,0.200000000000000011102230246252
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.552499999999999991118215802999,0.793962478637695312500000000000,955,443,1.000000000000000000000000000000,2,0.200000000000000011102230246252
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.562999999999999944932937978592,1.520215988159179687500000000000,1076,165,0.454653817324716991166155821702,2,0.200000000000000011102230246252
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.560499999999999998223643160600,1.103407144546508789062500000000,3558,265,0.365028340755520985805304690075,2,0.372248663846587390935383155011
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.478869676589965820312500000000,735,1000,0.607711423831284403007657601847,2,0.800000000000000044408920985006
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.558499999999999996447286321199,1.050601959228515625000000000000,462,190,1.000000000000000000000000000000,2,0.800000000000000044408920985006
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.184587717056274414062500000000,10,1000,0.473800412955086347466249208082,2,0.800000000000000044408920985006
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.549499999999999988453680543898,0.787941455841064453125000000000,4000,636,0.111552753946540753049454508528,2,0.800000000000000044408920985006
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.434226989746093750000000000000,598,815,1.000000000000000000000000000000,2,0.800000000000000044408920985006
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.564500000000000001776356839400,1.302220344543457031250000000000,1092,212,0.539644202571176068161662442435,2,0.800000000000000044408920985006
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.567999999999999949373830077093,3.389217138290405273437500000000,3486,100,0.503678280161900304712219167413,4,0.200000000000000011102230246252
326,326_0,FAILED,BoTorch,GenerationStep_1,,,1169,244,0.446215132084220700292576111678,2,0.200000000000000011102230246252
327,327_0,FAILED,BoTorch,GenerationStep_1,,,3722,116,0.100000000000000005551115123126,2,0.200000000000000011102230246252
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,1.132752180099487304687500000000,4000,1000,1.000000000000000000000000000000,4,0.800000000000000044408920985006
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.548000000000000042632564145606,0.233087062835693359375000000000,10,636,0.596645149388524531630650926672,2,0.800000000000000044408920985006
</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> Errors</h1>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download »oo_errors.txt« as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
âš Job 3158969 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3158969/3158969_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3158969/3158969_0_log.out
âš Job 3158998 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3158998/3158998_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3158998/3158998_0_log.out
âš Job 3159021 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159021/3159021_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159021/3159021_0_log.out
âš Job 3177353 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3177353/3177353_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3177353/3177353_0_log.out
âš Job 3177377 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3177377/3177377_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3177377/3177377_0_log.out
âš Job 3177378 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3177378/3177378_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3177378/3177378_0_log.out
âš Job 3177399 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3177399/3177399_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3177399/3177399_0_log.out
âš Job 3180229 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3180229/3180229_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3180229/3180229_0_log.out
âš Job 3180230 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3180230/3180230_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3180230/3180230_0_log.out
âš Job 3183874 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183874/3183874_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183874/3183874_0_log.out
âš Job 3183886 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183886/3183886_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183886/3183886_0_log.out
âš Job 3183887 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183887/3183887_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183887/3183887_0_log.out
âš Job 3183894 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183894/3183894_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183894/3183894_0_log.out
âš Job 3183895 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183895/3183895_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183895/3183895_0_log.out
âš Job 3183908 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183908/3183908_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3183908/3183908_0_log.out
âš Job 3188933 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3188933/3188933_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3188933/3188933_0_log.out
Job SlurmJob<job_id=3191724, task_id=0, state="FAILED">, state not in 'completed', 'early_stopped', 'abandoned', 'cancelled', 'timeout'], which would be removed from the job list, or 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed
Job SlurmJob<job_id=3191724, task_id=0, state="FAILED">, state not in 'completed', 'early_stopped', 'abandoned', 'cancelled', 'timeout'], which would be removed from the job list, or 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed
âš Job 3191724 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191724/3191724_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191724/3191724_0_log.out
âš Job 3191806 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191806/3191806_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191806/3191806_0_log.out
âš Job 3195300 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195300/3195300_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195300/3195300_0_log.out
Job SlurmJob<job_id=3195265, task_id=0, state="FAILED">, state not in 'completed', 'early_stopped', 'abandoned', 'cancelled', 'timeout'], which would be removed from the job list, or 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed
Job SlurmJob<job_id=3195265, task_id=0, state="FAILED">, state not in 'completed', 'early_stopped', 'abandoned', 'cancelled', 'timeout'], which would be removed from the job list, or 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed
âš Job 3195265 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195265/3195265_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195265/3195265_0_log.out
âš Job 3195334 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195334/3195334_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195334/3195334_0_log.out
âš Job 3197970 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197970/3197970_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197970/3197970_0_log.out
âš Job 3197992 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197992/3197992_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197992/3197992_0_log.out
âš Job 3198068 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3198068/3198068_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3198068/3198068_0_log.out
âš Job 3203241 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203241/3203241_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203241/3203241_0_log.out
âš Job 3203242 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203242/3203242_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203242/3203242_0_log.out
âš Job 3203259 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203259/3203259_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203259/3203259_0_log.out
âš Job 3203260 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203260/3203260_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_OutdoorObjects_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203260/3203260_0_log.out
</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download »oo_errors.txt« as file</button>
<h1> 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>BNDM_OutdoorObjects_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_samples', 'range', '100', '1000', 'int'], ['const', 'range', '0.1', '1.0', 'float'], </td></tr><tr><td></td><td>['max_depth', 'range', '2', '4', 'int'], ['threshold', 'range', '0.2', '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>
<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download »worker_usage.csv« as file</button>
<pre id="pre_tab_worker_usage">1741783196.7418501,30,0,0
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1741846754.51412,30,3,10
1741846761.3593137,30,3,10
1741846767.87411,30,3,10
1741846774.7410438,30,3,10
1741846781.2085245,30,3,10
1741846787.7129107,30,3,10
1741846794.4784071,30,3,10
1741846801.0175307,30,3,10
1741846807.8221135,30,3,10
1741846814.3082898,30,3,10
1741846821.0522583,30,3,10
1741846826.6219778,30,3,10
1741846826.7443278,30,3,10
1741846828.7059166,30,2,7
1741846828.9108388,30,2,7
1741846835.7805445,30,2,7
1741846842.2377963,30,2,7
1741846849.0079665,30,2,7
1741846855.5647185,30,2,7
1741846862.4591126,30,2,7
1741846868.9681726,30,2,7
1741846875.523851,30,2,7
1741846882.343087,30,2,7
1741846888.9212308,30,2,7
1741846895.6756644,30,2,7
1741846902.1884828,30,2,7
1741846908.9863143,30,2,7
1741846915.5181062,30,2,7
1741846922.3271608,30,2,7
1741846927.7981896,30,2,7
1741846927.9258466,30,2,7
1741846929.769146,30,1,3
1741846929.8647103,30,1,3
1741846936.6600869,30,1,3
1741846943.1738472,30,1,3
1741846949.6535487,30,1,3
1741846956.4960968,30,1,3
1741846962.021316,30,1,3
1741846962.1406558,30,1,3
1741846964.0311482,30,0,0
1741846965.768064,30,0,0
1741846967.1347148,30,0,0
1741847075.346745,30,0,0
1741847177.5102625,30,0,0
1741847281.9611077,30,0,0
1741847388.7357025,30,0,0
1741847501.328313,30,0,0
1741847632.8193738,30,0,0
1741847740.9846501,30,0,0
1741847859.4178624,30,0,0
1741847977.1855416,30,0,0
1741848103.8035288,30,0,0
1741848219.7606058,30,0,0
1741848336.4825234,30,0,0
1741848456.985387,30,0,0
1741848563.2529953,30,0,0
1741848659.4400804,30,0,0
1741848749.1184642,30,0,0
1741848840.7891006,30,0,0
1741848958.833551,30,0,0
1741849080.3641493,30,0,0
1741849200.8685677,30,0,0
1741849303.3900685,30,0,0
1741849400.6720643,30,0,0
1741849518.6799872,30,0,0
1741849642.6663878,30,0,0
1741849744.4266331,30,0,0
1741849882.007487,30,0,0
1741849997.412523,30,0,0
1741850114.1627574,30,0,0
1741850227.1411579,30,0,0
1741850347.1405826,30,0,0
1741850347.4544265,30,0,0
1741850349.1899302,30,1,3
1741850349.321005,30,1,3
1741850349.5750148,30,1,3
1741850351.1476889,30,2,7
1741850351.193919,30,2,7
1741850351.4521463,30,2,7
1741850353.2915578,30,3,10
1741850353.3357968,30,3,10
1741850353.5331607,30,3,10
1741850355.0782444,30,4,13
1741850355.117345,30,4,13
1741850355.2815025,30,4,13
1741850357.0868263,30,5,17
1741850357.1240206,30,5,17
1741850357.305668,30,5,17
1741850359.0534937,30,6,20
1741850359.0902236,30,6,20
1741850359.2671769,30,6,20
1741850360.9047477,30,7,23
1741850360.942173,30,7,23
1741850361.1558306,30,7,23
1741850362.9084125,30,8,27
1741850362.955719,30,8,27
1741850363.2517796,30,8,27
1741850364.9870327,30,9,30
1741850365.028115,30,9,30
1741850365.2628083,30,9,30
1741850366.9777572,30,10,33
1741850367.0228052,30,10,33
1741850367.260624,30,10,33
1741850368.9932172,30,11,37
1741850369.0518465,30,11,37
1741850369.2854457,30,11,37
1741850371.1525574,30,12,40
1741850371.1952448,30,12,40
1741850371.4371064,30,12,40
1741850374.0997164,30,13,43
1741850374.1421785,30,13,43
1741850374.3780892,30,13,43
1741850376.1324754,30,14,47
1741850376.1777875,30,14,47
1741850376.4406433,30,14,47
1741850378.093243,30,15,50
1741850378.138738,30,15,50
1741850378.4053578,30,15,50
1741850380.0837681,30,16,53
1741850380.1270556,30,16,53
1741850380.3646905,30,16,53
1741850382.1580768,30,17,57
1741850382.214096,30,17,57
1741850382.452074,30,17,57
1741850384.0972006,30,18,60
1741850384.1408327,30,18,60
1741850384.4223602,30,18,60
1741850386.1419451,30,19,63
1741850386.185721,30,19,63
1741850386.4194303,30,19,63
1741850388.4487247,30,20,67
1741850388.4914558,30,20,67
1741850389.1036794,30,20,67
1741850390.586689,30,21,70
1741850390.6295824,30,21,70
1741850390.8665283,30,21,70
1741850392.5247838,30,22,73
1741850392.572085,30,22,73
1741850392.8062587,30,22,73
1741850394.1980898,30,23,77
1741850394.2381382,30,23,77
1741850394.40204,30,23,77
1741850396.0880578,30,24,80
1741850396.1251183,30,24,80
1741850396.292453,30,24,80
1741850398.0944133,30,25,83
1741850398.134622,30,25,83
1741850398.3638566,30,25,83
1741850400.1033673,30,26,87
1741850400.140338,30,26,87
1741850400.3334382,30,26,87
1741850401.9801831,30,27,90
1741850402.0176241,30,27,90
1741850402.1982577,30,27,90
1741850404.142001,30,28,93
1741850404.1877286,30,28,93
1741850404.4453218,30,28,93
1741850407.124157,30,29,97
1741850407.1669242,30,29,97
1741850407.415963,30,29,97
1741850409.1660664,30,30,100
1741850409.6143386,30,30,100
1741850409.7568278,30,30,100
1741850410.7120082,30,29,97
1741850411.9985,30,29,97
1741850412.962034,30,28,93
1741850413.0967634,30,28,93
1741850414.4260142,30,27,90
1741850414.5598822,30,27,90
1741850415.5270326,30,26,87
1741850415.6603248,30,26,87
1741850416.7928576,30,25,83
1741850417.1339839,30,25,83
1741850418.3879545,30,24,80
1741850418.5206246,30,24,80
1741850419.4153876,30,23,77
1741850419.5477543,30,23,77
1741850420.4850106,30,22,73
1741850420.616936,30,22,73
1741850421.5735977,30,21,70
1741850421.750034,30,21,70
1741850422.9111638,30,20,67
1741850423.1731074,30,20,67
1741850424.5231159,30,19,63
1741850424.6542318,30,19,63
1741850425.6340342,30,18,60
1741850425.7657275,30,18,60
1741850426.7156913,30,17,57
1741850426.9216375,30,17,57
1741850427.9126146,30,16,53
1741850428.0452373,30,16,53
1741850429.038027,30,15,50
1741850429.1713426,30,15,50
1741850430.0130594,30,14,47
1741850430.1076376,30,14,47
1741850430.8558946,30,13,43
1741850430.9510257,30,13,43
1741850431.7099366,30,12,40
1741850431.839273,30,12,40
1741850433.0158525,30,11,37
1741850433.1249602,30,11,37
1741850433.907444,30,10,33
1741850434.0050135,30,10,33
1741850434.8420944,30,9,30
1741850434.936967,30,9,30
1741850435.7459514,30,8,27
1741850435.8434052,30,8,27
1741850436.7608914,30,7,23
1741850436.8845532,30,7,23
1741850437.6376934,30,6,20
1741850437.7349741,30,6,20
1741850438.608755,30,5,17
1741850438.7059178,30,5,17
1741850439.4692392,30,4,13
1741850439.5673282,30,4,13
1741850440.83927,30,3,10
1741850441.0016444,30,3,10
1741850443.1319096,30,2,7
1741850443.2723393,30,2,7
1741850443.7867823,30,2,7
1741850443.9105515,30,2,7
1741850444.7709937,30,1,3
1741850444.885122,30,1,3
1741850447.3556638,30,0,0
1741850450.252165,30,0,0
1741850452.224314,30,0,0
1741850600.3739161,30,0,0
1741850733.1861806,30,0,0
1741850904.5265148,30,0,0
1741851031.2074544,30,0,0
1741851161.2943003,30,0,0
1741851278.9694788,30,0,0
1741851426.864519,30,0,0
1741851543.8165936,30,0,0
1741851671.2447066,30,0,0
1741851802.5918124,30,0,0
1741851960.6392243,30,0,0
1741852109.0946057,30,0,0
1741852240.9303868,30,0,0
1741852372.2952952,30,0,0
1741852487.3889177,30,0,0
1741852677.7775683,30,0,0
1741852809.8642838,30,0,0
1741852942.5658758,30,0,0
1741853114.046813,30,0,0
1741853294.7625754,30,0,0
1741853438.827113,30,0,0
1741853593.8220758,30,0,0
1741853750.1970723,30,0,0
1741853904.5387697,30,0,0
1741854022.7352717,30,0,0
1741854174.6524293,30,0,0
1741854308.536119,30,0,0
1741854484.3106084,30,0,0
1741854630.1204574,30,0,0
1741854795.2994094,30,0,0
1741854795.564177,30,0,0
1741854797.1766798,30,1,3
1741854797.3193946,30,1,3
1741854797.608246,30,1,3
1741854799.1997507,30,2,7
1741854799.2446635,30,2,7
1741854799.494278,30,2,7
1741854801.085939,30,3,10
1741854801.1371691,30,3,10
1741854801.4024754,30,3,10
1741854803.1652424,30,4,13
1741854803.2184787,30,4,13
1741854803.4650795,30,4,13
1741854805.3286352,30,5,17
1741854805.4088197,30,5,17
1741854805.6759768,30,5,17
1741854807.1460052,30,6,20
1741854807.19596,30,6,20
1741854807.4456291,30,6,20
1741854809.1972454,30,7,23
1741854809.2457442,30,7,23
1741854809.4930222,30,7,23
1741854811.1208396,30,8,27
1741854811.1762872,30,8,27
1741854811.4385924,30,8,27
1741854813.2247744,30,9,30
1741854813.2818909,30,9,30
1741854813.5484836,30,9,30
1741854815.027309,30,10,33
1741854815.0770106,30,10,33
1741854815.2422562,30,10,33
1741854819.9231973,30,11,37
1741854819.9810627,30,11,37
1741854820.1585042,30,11,37
1741854821.8501878,30,12,40
1741854821.935035,30,12,40
1741854822.1068811,30,12,40
1741854823.465343,30,13,43
1741854823.508381,30,13,43
1741854823.6825068,30,13,43
1741854825.1039424,30,14,47
1741854825.1491675,30,14,47
1741854825.3351667,30,14,47
1741854827.0468066,30,15,50
1741854827.090977,30,15,50
1741854827.295619,30,15,50
1741854829.0976465,30,16,53
1741854829.147768,30,16,53
1741854829.4098973,30,16,53
1741854831.1633475,30,17,57
1741854831.2089083,30,17,57
1741854831.4554963,30,17,57
1741854833.1574075,30,18,60
1741854833.210279,30,18,60
1741854833.4795167,30,18,60
1741854835.3462832,30,19,63
1741854835.4010801,30,19,63
1741854835.80875,30,19,63
1741854837.3964608,30,20,67
1741854837.4422865,30,20,67
1741854837.6879947,30,20,67
1741854839.338927,30,21,70
1741854839.3880858,30,21,70
1741854839.6551762,30,21,70
1741854841.105808,30,22,73
1741854841.1647315,30,22,73
1741854841.4083235,30,22,73
1741854843.1580472,30,23,77
1741854843.2075374,30,23,77
1741854843.4575212,30,23,77
1741854845.1463733,30,24,80
1741854845.2085664,30,24,80
1741854845.4576898,30,24,80
1741854847.0887554,30,25,83
1741854847.1441984,30,25,83
1741854847.3881795,30,25,83
1741854849.115901,30,26,87
1741854849.161462,30,26,87
1741854849.4239955,30,26,87
1741854851.0968573,30,27,90
1741854851.163339,30,27,90
1741854851.4140773,30,27,90
1741854854.1608944,30,28,93
1741854854.2113364,30,28,93
1741854854.474567,30,28,93
1741854856.1352527,30,29,97
1741854856.215927,30,29,97
1741854856.5012355,30,29,97
1741854858.2432835,30,30,100
1741854858.743863,30,30,100
1741854858.9307659,30,30,100
1741854860.2905602,30,29,97
1741854860.6071372,30,29,97
1741854861.563523,30,28,93
1741854861.7513902,30,28,93
1741854862.8788037,30,27,90
1741854863.0233848,30,27,90
1741854864.4523273,30,26,87
1741854864.888984,30,26,87
1741854865.9790933,30,25,83
1741854866.1177492,30,25,83
1741854867.228046,30,24,80
1741854867.3351617,30,24,80
1741854868.1210263,30,23,77
1741854868.2377408,30,23,77
1741854869.3479679,30,22,73
1741854869.440536,30,22,73
1741854870.2314432,30,21,70
1741854870.3259785,30,21,70
1741854886.170433,30,20,67
1741854902.6104107,30,19,63
1741854904.3290274,30,18,60
1741854904.4731514,30,18,60
1741854905.4708831,30,17,57
1741854905.6164224,30,17,57
1741854906.6333516,30,16,53
1741854906.7822137,30,16,53
1741854907.796391,30,15,50
1741854907.9443204,30,15,50
1741854909.3370569,30,14,47
1741854909.4824522,30,14,47
1741854910.4775355,30,13,43
1741854910.625739,30,13,43
1741854911.6240249,30,12,40
1741854911.7681487,30,12,40
1741854912.765663,30,11,37
1741854912.9314778,30,11,37
1741854913.954453,30,10,33
1741854914.097019,30,10,33
1741854915.1230762,30,9,30
1741854915.2679837,30,9,30
1741854916.2749007,30,8,27
1741854916.4371326,30,8,27
1741854917.5008519,30,7,23
1741854917.665392,30,7,23
1741854919.0661929,30,6,20
1741854919.2139473,30,6,20
1741854935.0188777,30,5,17
1741854951.5192292,30,4,13
1741854953.2154841,30,3,10
1741854953.363558,30,3,10
1741854954.2145932,30,2,7
1741854954.307299,30,2,7
1741854956.7235372,30,1,3
1741854956.8826466,30,0,0
</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
1741783196,599.34375,39.0
1741783196,599.37890625,37.9
1741783196,599.48828125,37.9
1741783196,599.48828125,40.5
1741783196,599.48828125,34.8
1741783196,599.48828125,37.6
1741783196,599.48828125,33.6
1741783268,612.28125,38.0
1741783268,612.28125,36.4
1741783268,612.28125,39.5
1741783268,612.28125,41.1
1741805648,682.7734375,38.7
1741805648,682.7734375,41.8
1741805648,682.7734375,41.8
1741805648,682.7734375,29.4
1741818570,694.30078125,37.9
1741818570,694.30078125,33.8
1741818570,694.30078125,34.0
1741818570,694.30078125,34.0
1741826452,693.02734375,41.1
1741826452,693.02734375,39.0
1741826452,693.02734375,37.9
1741826452,693.02734375,32.4
1741831731,727.55078125,38.0
1741831731,727.55078125,36.0
1741831732,727.55078125,35.4
1741831732,727.55078125,37.3
1741835320,747.484375,39.0
1741835320,747.484375,40.1
1741835320,747.484375,40.1
1741835320,747.484375,41.9
1741839116,721.9296875,38.9
1741839116,721.9296875,40.8
1741839116,721.9296875,42.0
1741839116,721.9296875,41.9
1741842346,735.4453125,40.6
1741842346,735.4453125,41.6
1741842346,735.4453125,41.8
1741842346,735.4453125,44.2
1741846029,745.734375,40.7
1741846029,745.734375,41.5
1741846029,745.734375,41.9
1741846029,745.734375,44.3
1741850448,764.26171875,40.6
1741850448,764.26171875,37.0
1741850448,764.26171875,36.9
1741850448,764.26171875,41.3
1741854959,767.296875,40.5
1741854959,767.296875,41.1
1741854959,767.296875,40.3
1741854959,767.296875,39.6
</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>
<div class="invert_in_dark_mode" id="plotResultPairs"></div>
<h1> Evolution</h1>
<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
</body>
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