Skipped tabs:
<!DOCTYPE html>
<html lang='en'>
<head>
<meta charset='UTF-8'>
<meta name='viewport' content='width=device-width, initial-scale=1.0'>
<title>Exported »pwinkler/vergl_botorch_dl_ext/2« from OmniOpt2-Share</title>
<script src='https://code.jquery.com/jquery-3.7.1.js'></script>
<script src='https://cdnjs.cloudflare.com/ajax/libs/gridjs/6.2.0/gridjs.production.min.js'></script>
<script src='https://cdn.jsdelivr.net/npm/plotly.js-dist@3.0.1/plotly.min.js'></script>
<link rel='stylesheet' href='https://cdnjs.cloudflare.com/ajax/libs/gridjs/6.2.0/theme/mermaid.css'>
<style>
#share_path {
color: black;
}
.debug_log_pre {
min-width: 300px;
}
body.dark-mode {
background-color: #1e1e1e; color: #fff;
}
.plot-container {
margin-bottom: 2rem;
}
.spinner {
border: 4px solid #f3f3f3;
border-top: 4px solid #3498db;
border-radius: 50%;
width: 40px;
height: 40px;
animation: spin 2s linear infinite;
margin: auto;
}
@keyframes spin {
0% { transform: rotate(0deg); }
100% { transform: rotate(360deg); }
}
.tabs {
margin-bottom: 20px;
}
.tab-content {
display: none;
}
.tab-content.active {
display: block;
}
pre {
color: #00CC00 !important;
background-color: black !important;
font-family: monospace !important;
line-break: anywhere;
}
menu[role="tablist"] {
display: flex;
flex-wrap: wrap;
gap: 4px;
max-width: 100%;
max-height: 100px;
overflow: scroll;
}
menu[role="tablist"] button {
white-space: nowrap;
min-width: 100px;
}
.container {
max-width: 100% !important;
}
.gridjs-sort {
min-width: 1px !important;
}
td.gridjs-td {
overflow: clip;
}
.title-bar-text {
font-size: 22px;
display: block ruby;
}
.title-bar {
height: fit-content;
}
.window {
width: fit-content;
min-width: 100%;
}
.top_link {
display: inline-block;
padding: 5px 5px;
background-color: #007bff; /* Blau, kannst du anpassen */
color: white;
text-decoration: none;
font-size: 16px;
font-weight: bold;
border-radius: 6px;
border: 2px solid #0056b3;
text-align: center;
transition: all 0.3s ease-in-out;
}
.top_link:hover {
background-color: #0056b3;
border-color: #004494;
}
.top_link:active {
background-color: #003366;
border-color: #002244;
}
button {
color: black;
}
.share_folder_buttons {
width: fit-content;
}
button {
background: #fcfcfe;
border-color: #919b9c;
border-top-color: rgb(145, 155, 156);
border-bottom-color: rgb(145, 155, 156);
margin-right: -1px;
border-bottom: 1px solid transparent;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c;
}
button {
padding-bottom: 2px;
margin-top: -2px;
background-color: #ece9d8;
position: relative;
z-index: 8;
margin-left: -3px;
margin-bottom: 1px;
}
.window {
min-width: 1100px;
}
[role="tab"] {
padding: 10px !important;
}
[role="tabpanel"] {
min-width: fit-content;
}
select {
border: 1px solid #7f9db9;
background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 -0.5 15 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e6eefc' d='M0 0h1'/%3E%3Cpath stroke='%23d1e0fd' d='M1 0h1M0 1h1m3 0h2M2 3h1M2 4h1'/%3E%3Cpath stroke='%23cad8f9' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23c4d3f7' d='M3 0h1M0 3h1M0 4h1'/%3E%3Cpath stroke='%23bfd0f8' d='M4 0h2M0 5h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 0h1M0 6h1'/%3E%3Cpath stroke='%23baccf4' d='M7 0h1m6 2h1m-1 5h1m-1 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M8 0h1M0 7h1M0 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M9 0h2M0 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 0h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 0h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 0h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 0h1'/%3E%3Cpath stroke='%23e1eafe' d='M1 1h1'/%3E%3Cpath stroke='%23dae6fe' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23d4e1fc' d='M3 1h1M1 3h1M1 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 1h1M1 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 1h1M4 2h2'/%3E%3Cpath stroke='%23cad9fd' d='M8 1h1M6 2h1M3 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M9 1h2'/%3E%3Cpath stroke='%23c5d6fc' d='M11 1h1M2 11h4'/%3E%3Cpath stroke='%23c2d3fc' d='M12 1h1m-2 1h1M1 11h1m0 1h2m-2 1h2'/%3E%3Cpath stroke='%23bccefa' d='M13 1h1m-1 1h1m-1 1h1m-1 1h1M3 15h4'/%3E%3Cpath stroke='%23b9c9f3' d='M14 1h1M3 16h4'/%3E%3Cpath stroke='%23d8e3fc' d='M2 2h1'/%3E%3Cpath stroke='%23d1defd' d='M3 2h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 2h1M4 3h3M4 4h3M3 6h1m1 0h2M1 7h1M1 8h1'/%3E%3Cpath stroke='%23c5d5fc' d='M8 2h1m-8 8h5'/%3E%3Cpath stroke='%23c5d3fc' d='M9 2h2'/%3E%3Cpath stroke='%23bed0fc' d='M12 2h1M8 3h1M8 4h1m-8 8h1m-1 1h1m0 1h1m1 0h3'/%3E%3Cpath stroke='%23cddbfc' d='M3 3h1M3 4h1M1 6h2'/%3E%3Cpath stroke='%23c8d5fb' d='M7 3h1M7 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M9 3h4M9 4h4M8 5h1M7 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 3h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23ceddfd' d='M2 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M4 5h4M1 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M9 5h2m1 0h2M1 14h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M8 6h2m2 0h2m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%234d6185' d='M4 6h1m5 0h1M3 7h3m3 0h3M4 8h3m1 0h3M5 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1m-1 1h1'/%3E%3Cpath stroke='%23cad8fd' d='M2 7h1M2 8h2'/%3E%3Cpath stroke='%23c1d3fb' d='M6 7h2M7 8h1M4 9h1'/%3E%3Cpath stroke='%23b6cefb' d='M8 7h1m2 1h1m-2 1h3m-2 1h2'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-6 6h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b4c8f6' d='M0 10h1'/%3E%3Cpath stroke='%23bdd3fb' d='M9 10h2m-4 4h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 10h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 10h1'/%3E%3Cpath stroke='%23b1c7f6' d='M0 11h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M8 11h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M9 11h4m-2 3h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 11h1m-3 4h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 11h1m-7 5h3'/%3E%3Cpath stroke='%23adc3f6' d='M0 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c2d5fc' d='M4 12h4m-4 1h4'/%3E%3Cpath stroke='%23b7d3fc' d='M9 12h2m-2 1h2m-3 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 12h1m-1 1h1'/%3E%3Cpath stroke='%23afcdfb' d='M12 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afcbfa' d='M13 12h1m-1 1h1'/%3E%3Cpath stroke='%23b2c8f4' d='M14 12h1m-1 1h1m-4 3h1'/%3E%3Cpath stroke='%23c1d2fb' d='M3 14h1'/%3E%3Cpath stroke='%23b6d1fb' d='M9 14h2'/%3E%3Cpath stroke='%23adc9f9' d='M13 14h1m-2 1h1'/%3E%3Cpath stroke='%23b1c6f3' d='M14 14h1m-3 2h1'/%3E%3Cpath stroke='%23abc1f4' d='M0 15h1'/%3E%3Cpath stroke='%23b7cbf9' d='M1 15h1'/%3E%3Cpath stroke='%23b9cefb' d='M2 15h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 15h1'/%3E%3Cpath stroke='%23b2cdfb' d='M9 15h2'/%3E%3Cpath stroke='%23aec8f7' d='M13 15h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 15h1m-2 1h1'/%3E%3Cpath stroke='%23dbe3f8' d='M0 16h1'/%3E%3Cpath stroke='%23b7c6f1' d='M1 16h1'/%3E%3Cpath stroke='%23b8c9f2' d='M2 16h1m4 0h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 16h1'/%3E%3C/svg%3E");
background-size: 15px;
font-size: 11px;
border: none;
background-color: #fff;
box-sizing: border-box;
height: 21px;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
position: relative;
padding: 5px 32px 32px 5px;
background-position: top 50% right 2px;
background-repeat: no-repeat;
border-radius: 0;
border: 1px solid black;
}
body {
font-variant: oldstyle-nums;
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
background-color: #fafafa;
text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
scroll-behavior: smooth;
text-wrap: balance;
text-rendering: optimizeLegibility;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
font-feature-settings: "ss02", "liga", "onum";
}
.marked_text {
background-color: yellow;
}
.time_picker_container {
font-variant: small-caps;
width: 100%;
}
.time_picker_container > input {
width: 50px;
}
#loader {
display: grid;
justify-content: center;
align-items: center;
height: 100%;
}
.no_linebreak {
line-break: auto;
}
.dark_code_bg {
background-color: #363636;
color: white;
}
.code_bg {
background-color: #C0C0C0;
}
#commands {
line-break: anywhere;
}
.color_red {
color: red;
}
.color_orange {
color: orange;
}
table > tbody > tr:nth-child(odd) {
background-color: #fafafa;
}
table > tbody > tr:nth-child(even) {
background-color: #ddd;
}
table {
border-collapse: collapse;
margin: 0 0;
min-width: 200px;
}
th {
background-color: #4eae46;
color: #ffffff;
text-align: left;
border: 0px;
}
.error_element {
background-color: #e57373;
border-radius: 10px;
padding: 4px;
display: none;
}
button {
background-color: #4eae46;
border: 1px solid #2A8387;
border-radius: 4px;
box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
cursor: pointer;
display: block;
line-height: 100%;
outline: 0;
padding: 11px 15px 12px;
text-align: center;
transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
user-select: none;
-webkit-user-select: none;
touch-action: manipulation;
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
button:hover {
box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
text-decoration: none;
transition-duration: .15s, .15s;
}
button:active {
box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
}
button:disabled {
cursor: not-allowed;
opacity: .6;
}
button:disabled:active {
pointer-events: none;
}
button:disabled:hover {
box-shadow: none;
}
.half_width_td {
vertical-align: baseline;
width: 50%;
}
#scads_bar {
width: 100%;
margin: 0;
padding: 0;
user-select: none;
user-drag: none;
-webkit-user-drag: none;
user-select: none;
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
display: -webkit-box;
}
.tab {
display: inline-block;
padding: 0px;
margin: 0px;
font-size: 16px;
font-weight: bold;
text-align: center;
border-radius: 25px;
text-decoration: none !important;
transition: background-color 0.3s, color 0.3s;
color: unset !important;
}
.tooltipster-base {
border: 1px solid black;
position: absolute;
border-radius: 8px;
padding: 2px;
color: white;
background-color: #61686f;
width: 70%;
min-width: 200px;
pointer-events: none;
}
td {
padding-top: 3px;
padding-bottom: 3px;
}
.left_side {
text-align: right;
}
.right_side {
text-align: left;
}
.spinner {
border: 8px solid rgba(0, 0, 0, 0.1);
border-left: 8px solid #3498db;
border-radius: 50%;
width: 50px;
height: 50px;
animation: spin 1s linear infinite;
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
#spinner-overlay {
-webkit-text-stroke: 1px black;
white !important;
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
display: flex;
justify-content: center;
align-items: center;
z-index: 9999;
}
#spinner-container {
text-align: center;
color: #fff;
display: contents;
}
#spinner-text {
font-size: 3vw;
margin-left: 10px;
}
a, a:visited, a:active, a:hover, a:link {
color: #007bff;
text-decoration: none;
}
.copy-container {
display: inline-block;
position: relative;
cursor: pointer;
margin-left: 10px;
color: blue;
}
.copy-container:hover {
text-decoration: underline;
}
.clipboard-icon {
position: absolute;
top: 5px;
right: 5px;
font-size: 1.5em;
}
#main_tab {
overflow: scroll;
width: max-content;
}
.ui-tabs .ui-tabs-nav li {
user-select: none;
}
.stacktrace_table {
background-color: black !important;
color: white !important;
}
#breadcrumb {
user-select: none;
}
#statusBar {
user-select: none;
}
.error_line {
background-color: red !important;
color: white !important;
}
.header_table {
border: 0px !important;
padding: 0px !important;
width: revert !important;
min-width: revert !important;
}
.img_auto_width {
max-width: revert !important;
}
#main_dir_or_plot_view {
display: inline-grid;
}
#refresh_button {
width: 300px;
}
._share_link {
color: black !important;
}
#footer_element {
height: 30px;
background-color: #f8f9fa;
padding: 0px;
text-align: center;
border-top: 1px solid #dee2e6;
width: 100%;
box-sizing: border-box;
position: fixed;
bottom: 0;
z-index: 2;
margin-left: -9px;
z-index: 99;
}
.switch {
position: relative;
display: inline-block;
width: 50px;
height: 26px;
}
.switch input {
opacity: 0;
width: 0;
height: 0;
}
.slider {
position: absolute;
cursor: pointer;
top: 0;
left: 0;
right: 0;
bottom: 0;
background-color: #ccc;
transition: .4s;
border-radius: 26px;
}
.slider:before {
position: absolute;
content: "";
height: 20px;
width: 20px;
left: 3px;
bottom: 3px;
background-color: white;
transition: .4s;
border-radius: 50%;
}
input:checked + .slider {
background-color: #444;
}
input:checked + .slider:before {
transform: translateX(24px);
}
.mode-text {
position: absolute;
top: 5px;
left: 65px;
font-size: 14px;
color: black;
transition: .4s;
width: 65px;
display: block;
font-size: 0.7rem;
text-align: center;
}
input:checked + .slider .mode-text {
content: "Dark Mode";
color: white;
}
#mainContent {
height: fit-content;
min-height: 100%;
}
li {
text-align: left;
}
#share_path {
margin-bottom: 20px;
margin-top: 20px;
}
#sortForm {
margin-bottom: 20px;
}
.share_folder_buttons {
margin-top: 10px;
margin-bottom: 10px;
}
.nav_tab_button {
margin: 10px;
}
.header_table {
margin: 10px;
}
.no_border {
border: unset !important;
}
.gui_table {
padding: 5px !important;
}
.gui_parameter_row {
}
.gui_parameter_row_cell {
border: unset !important;
}
.gui_param_table {
width: 95%;
margin: unset !important;
}
table td, table tr,
.parameterRow table {
padding: 2px !important;
}
.parameterRow table {
margin: 0px;
border: unset;
}
.parameterRow > td {
border: 0px !important;
}
.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
border: 0px !important;
}
.green_text {
color: green;
}
.remove_parameter {
white-space: pre;
}
select {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
background-color: #fff;
color: #222;
padding: 5px 30px 5px 5px;
border: 1px solid #555;
border-radius: 5px;
cursor: pointer;
outline: none;
transition: all 0.3s ease;
background:
url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
no-repeat right 10px center,
linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
background-size: 12px, auto;
}
select:hover {
border-color: #888;
}
select:focus {
border-color: #4caf50;
box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
}
select::-ms-expand {
display: none;
}
input, textarea {
border-radius: 5px;
}
#search {
width: 200px;
max-width: 70%;
background-image: url(images/search.svg);
background-repeat: no-repeat;
background-size: auto 40px;
height: 40px;
line-height: 40px;
padding-left: 40px;
box-sizing: border-box;
}
input[type="checkbox"] {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
width: 25px;
height: 25px;
border: 2px solid #3498db;
border-radius: 5px;
background-color: #fff;
position: relative;
cursor: pointer;
transition: all 0.3s ease;
width: 25px !important;
}
input[type="checkbox"]:checked {
background-color: #3498db;
border-color: #2980b9;
}
input[type="checkbox"]:checked::before {
content: '✔';
position: absolute;
left: 4px;
top: 2px;
color: #fff;
}
input[type="checkbox"]:hover {
border-color: #2980b9;
background-color: #3caffc;
}
.toc {
margin-bottom: 20px;
}
.toc li {
margin-bottom: 5px;
}
.toc a {
text-decoration: none;
color: #007bff;
}
.toc a:hover {
text-decoration: underline;
}
.table-container {
width: 100%;
overflow-x: auto;
}
.section-header {
background-color: #1d6f9a !important;
color: white;
}
.warning {
color: red;
}
.li_list a {
text-decoration: none;
}
.gridjs-td {
white-space: nowrap;
}
th, td {
border: 1px solid gray !important;
}
.no_border {
border: 0px !important;
}
.no_break {
}
img {
user-select: none;
pointer-events: none;
}
#config_table, #hidden_config_table {
user-select: none;
}
.copy_clipboard_button {
margin-bottom: 10px;
}
.badge_table {
background-color: unset !important;
}
.make_markable {
user-select: text;
}
.header-container {
display: flex;
flex-wrap: wrap;
align-items: center;
justify-content: space-between;
gap: 1rem;
padding: 10px;
background: var(--header-bg, #fff);
border-bottom: 1px solid #ccc;
}
.header-logo-group {
display: flex;
gap: 1rem;
align-items: center;
flex: 1 1 auto;
min-width: 200px;
}
.logo-img {
max-height: 45px;
height: auto;
width: auto;
object-fit: contain;
pointer-events: unset;
}
.header-badges {
flex-direction: column;
gap: 5px;
align-items: flex-start;
flex: 0 1 auto;
margin-top: auto;
margin-bottom: auto;
}
.badge-img {
height: auto;
max-width: 130px;
margin-top: 3px;
}
.header-tabs {
margin-top: 10px;
display: flex;
flex-wrap: wrap;
gap: 10px;
flex: 2 1 100%;
justify-content: center;
}
.nav-tab {
display: inline-block;
text-decoration: none;
padding: 8px 16px;
border-radius: 20px;
background: linear-gradient(to right, #4a90e2, #357ABD);
color: white;
font-weight: bold;
white-space: nowrap;
transition: background 0.2s ease-in-out, transform 0.2s;
box-shadow: 0 2px 4px rgba(0,0,0,0.2);
}
.nav-tab:hover {
background: linear-gradient(to right, #5aa0f2, #4a90e2);
transform: translateY(-2px);
}
.current-tag {
padding-left: 10px;
font-size: 0.9rem;
color: #666;
}
.header-theme-toggle {
flex: 1 1 auto;
align-items: center;
margin-top: 20px;
min-width: 120px;
}
.switch {
position: relative;
display: inline-block;
width: 60px;
height: 30px;
}
.switch input {
display: none;
}
.slider {
position: absolute;
top: 0; left: 0; right: 0; bottom: 0;
background-color: #ccc;
border-radius: 34px;
cursor: pointer;
}
.slider::before {
content: "";
position: absolute;
height: 24px;
width: 24px;
left: 3px;
bottom: 3px;
background-color: white;
transition: .4s;
border-radius: 50%;
}
input:checked + .slider {
background-color: #2196F3;
}
input:checked + .slider::before {
transform: translateX(30px);
}
@media (max-width: 768px) {
.header-logo-group,
.header-badges,
.header-theme-toggle {
justify-content: center;
flex: 1 1 100%;
text-align: center;
width: inherit;
}
.logo-img {
max-height: 50px;
pointer-events: unset;
}
.badge-img {
max-width: 100px;
}
.hide_on_mobile {
display: none;
}
.nav-tab {
font-size: 0.9rem;
padding: 6px 12px;
}
.header_button {
white-space: pre;
font-size: 2em;
}
}
.header_button {
white-space: pre;
margin-top: 20px;
margin: 5px;
}
.line_break_anywhere {
line-break: anywhere;
}
.responsive-container {
display: flex;
flex-wrap: wrap;
justify-content: space-between;
gap: 20px;
}
.responsive-container .half {
flex: 1 1 48%;
box-sizing: border-box;
min-width: 500px;
}
.config-section table {
width: 100%;
border-collapse: collapse;
}
@media (max-width: 768px) {
.responsive-container .half {
flex: 1 1 100%;
}
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
.rotate {
animation: spin 2s linear infinite;
display: inline-block;
}
input::placeholder {
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
.gridjs-th-content {
overflow: visible !important;
}
.error_text {
color: red;
}
h1, h2, h3, h4, h5, h6 {
margin-top: 1em;
font-weight: bold;
color: #333;
border-left: 5px solid #ccc;
padding-left: 0.5em;
}
.no_cursive {
font-style: normal;
}
.caveat {
background-color: #fff8b3;
border: 1px solid #f2d600;
padding: 1em 1em 1em 70px;
position: relative;
font-family: sans-serif;
color: #665500;
margin: 1em 0;
border-radius: 4px;
}
.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
margin-top: 0;
margin-bottom: 0.5em;
font-weight: bold;
}
.caveat::before {
content: "⚠️";
font-size: 50px;
line-height: 1;
position: absolute;
left: 10px;
top: 50%;
transform: translateY(-50%);
pointer-events: none;
user-select: none;
}
.caveat.warning::before { content: "⚠️"; }
.caveat.stop::before { content: "🛑"; }
.caveat.exclamation::before { content: "❗"; }
.caveat.alarm::before { content: "🚨"; }
.caveat.tip::before { content: "💡"; }
.tutorial_icon {
display: inline-block;
font-size: 1.3em;
line-height: 1;
vertical-align: middle;
transform: translateY(-10%);
padding: 0.2em 0;
}
.highlight {
background-color: yellow;
font-weight: bold;
}
#searchResults li {
opacity: 0;
transform: translateY(8px);
animation: fadeInUp 0.3s ease-out forwards;
animation-delay: 0.05s;
list-style: none;
margin-bottom: 5px;
}
@keyframes fadeInUp {
to {
opacity: 1;
transform: translateY(0);
}
}
.search_headline {
font-weight: bold;
margin-top: 1em;
margin-bottom: 0.3em;
color: #444;
}
.search_share_path {
color: black;
display: block ruby;
margin-top: 20px;
}
@media print {
#scads_bar {
display: none !important;
}
}
/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
body{
color: #222
}
.surface{
background: #ece9d8
}
u{
text-decoration: none;
border-bottom: .5px solid #222
}
a{
color: #00f
}
a: focus{
outline: 1px dotted #00f
}
code,code *{
font-family: monospace
}
pre{
display: block;
padding: 12px 8px;
background-color: #000;
color: silver;
font-size: 1rem;
margin: 0;
overflow: scroll;
}
summary: focus{
outline: 1px dotted #000
}
: :-webkit-scrollbar{
width: 16px
}
: :-webkit-scrollbar: horizontal{
height: 17px
}
: :-webkit-scrollbar-track{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-color: #dfdfdf;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
display: block
}
: :-webkit-scrollbar-button: vertical: start{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: end{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: start{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: end{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
}
button{
border: none;
background: #ece9d8;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
border-radius: 0;
min-width: 75px;
min-height: 23px;
padding: 0 12px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
}
button.focused,button: focus{
outline: 1px dotted #000;
outline-offset: -4px
}
label{
display: inline-flex;
align-items: center
}
textarea{
padding: 3px 4px;
border: none;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0
}
textarea: focus{
outline: none
}
select: focus option{
color: #000;
background-color: #fff
}
.vertical-bar{
width: 4px;
height: 20px;
background: silver;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
&: disabled,&: disabled+label{
color: grey;
text-shadow: 1px 1px 0 #fff
}
input[type=radio]+label{
line-height: 13px;
position: relative;
margin-left: 19px
}
input[type=radio]+label: before{
content: "";
position: absolute;
top: 0;
left: -19px;
display: inline-block;
width: 13px;
height: 13px;
margin-right: 6px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
}
input[type=radio]: active+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio]: checked+label: after{
content: "";
display: block;
width: 5px;
height: 5px;
top: 5px;
left: -14px;
position: absolute;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=radio][disabled]+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
}
input[type=email],input[type=password]{
padding: 3px 4px;
border: 1px solid #7f9db9;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0;
height: 21px;
line-height: 2
}
input[type=email]: focus,input[type=password]: focus{
outline: none
}
input[type=range]{
-webkit-appearance: none;
width: 100%;
background: transparent
}
input[type=range]: focus{
outline: none
}
input[type=range]: :-webkit-slider-thumb{
-webkit-appearance: none;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-webkit-slider-runnable-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range]: :-moz-range-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
.is-vertical{
display: inline-block;
width: 4px;
height: 150px;
transform: translateY(50%)
}
.is-vertical>input[type=range]{
width: 150px;
height: 4px;
margin: 0 16px 0 10px;
transform-origin: left;
transform: rotate(270deg) translateX(calc(-50% + 8px))
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-webkit-slider-thumb{
transform: translateY(-8px) scaleX(-1)
}
.is-vertical>input[type=range]: :-moz-range-thumb{
transform: translateY(2px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
transform: translateY(-10px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
transform: translateY(0) scaleX(-1)
}
.window{
font-size: 11px;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
background: #ece9d8;
padding: 3px
}
.window fieldset{
margin-bottom: 9px
}
.title-bar{
background: #000;
padding: 3px 2px 3px 3px;
display: flex;
justify-content: space-between;
align-items: center
}
.title-bar-text{
font-weight: 700;
color: #fff;
letter-spacing: 0;
margin-right: 24px
}
.title-bar-controls button{
padding: 0;
display: block;
min-width: 16px;
min-height: 14px
}
.title-bar-controls button: focus{
outline: none
}
.window-body{
margin: 8px
}
.window-body pre{
margin: -8px
}
.status-bar{
margin: 0 1px;
display: flex;
gap: 1px
}
.status-bar-field{
box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
flex-grow: 1;
padding: 2px 3px;
margin: 0
}
ul.tree-view{
display: block;
background: #fff;
padding: 6px;
margin: 0
}
ul.tree-view li{
list-style-type: none;
margin-top: 3px
}
ul.tree-view a{
text-decoration: none;
color: #000
}
ul.tree-view a: focus{
background-color: #2267cb;
color: #fff
}
ul.tree-view ul{
margin-top: 3px;
margin-left: 16px;
padding-left: 16px;
border-left: 1px dotted grey
}
ul.tree-view ul>li{
position: relative
}
ul.tree-view ul>li: before{
content: "";
display: block;
position: absolute;
left: -16px;
top: 6px;
width: 12px;
border-bottom: 1px dotted grey
}
ul.tree-view ul>li: last-child: after{
content: "";
display: block;
position: absolute;
left: -20px;
top: 7px;
bottom: 0;
width: 8px;
background: #fff
}
ul.tree-view ul details>summary: before{
margin-left: -22px;
position: relative;
z-index: 1
}
ul.tree-view details{
margin-top: 0
}
ul.tree-view details>summary: before{
text-align: center;
display: block;
float: left;
content: "+";
border: 1px solid grey;
width: 8px;
height: 9px;
line-height: 9px;
margin-right: 5px;
padding-left: 1px;
background-color: #fff
}
ul.tree-view details[open] summary{
margin-bottom: 0
}
ul.tree-view details[open]>summary: before{
content: "-"
}
fieldset{
border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
padding: 10px;
padding-block-start: 8px;
margin: 0
}
legend{
background: #ece9d8
}
menu[role=tablist]{
position: relative;
margin: 0 0 -2px;
text-indent: 0;
list-style-type: none;
display: flex;
padding-left: 3px
}
menu[role=tablist] button{
z-index: 1;
display: block;
color: #222;
text-decoration: none;
min-width: unset
}
menu[role=tablist] button[aria-selected=true]{
padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
}
menu[role=tablist] button: focus{
outline: 1px dotted #222;outline-offset: -4px
}
menu[role=tablist].justified button{
flex-grow: 1;text-align: center
}
[role=tabpanel]{
padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
}
: :-webkit-scrollbar{
width: 17px
}
: :-webkit-scrollbar-corner{
background: #dfdfdf
}
: :-webkit-scrollbar-track: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-track: horizontal{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-position: 50%;
background-repeat: no-repeat;
background-color: #c8d6fb;
background-size: 7px;
border: 1px solid #fff;
border-radius: 2px;
box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
}
: :-webkit-scrollbar-thumb: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb: horizontal{
background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: start{
height: 17px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 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}
: :-webkit-scrollbar-button: vertical: end{
height: 17px;
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}
.window{
box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
border-top-left-radius: 8px;
border-top-right-radius: 8px;
padding: 0 0 3px;
-webkit-font-smoothing: antialiased
}
.title-bar{
background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
padding: 3px 5px 3px 3px;
border-top: 1px solid #0831d9;
border-left: 1px solid #0831d9;
border-right: 1px solid #001ea0;
border-top-left-radius: 8px;
border-top-right-radius: 7px;
font-size: 13px;
text-shadow: 1px 1px #0f1089;
height: 21px
}
.title-bar-text{
padding-left: 3px
}
.title-bar-controls{
display: flex
}
.title-bar-controls button{
min-width: 21px;
min-height: 21px;
margin-left: 2px;
background-repeat: no-repeat;
background-position: 50%;
box-shadow: none;
background-color: #0050ee;
transition: background .1s;
border: none
}
.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
box-shadow: none!important
}
.title-bar-controls button[aria-label=Minimize]{
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stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
}
.status-bar{
margin: 0 3px;
box-shadow: inset 0 1px 2px grey;
padding: 2px 1px;
gap: 0
}
.status-bar-field{
-webkit-font-smoothing: antialiased;
box-shadow: none;
padding: 1px 2px;
border-right: 1px solid rgba(208,206,191,.75);
border-left: 1px solid hsla(0,0%,100%,.75)
}
.status-bar-field: first-of-type{
border-left: none
}
.status-bar-field: last-of-type{
border-right: none
}
button{
-webkit-font-smoothing: antialiased;
box-sizing: border-box;
border: 1px solid #003c74;
background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
box-shadow: none;
border-radius: 3px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: none;
background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
}
button: not(: disabled): hover{
box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
}
button.focused,button: focus{
box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
}
button: :-moz-focus-inner{
border: 0
}
input,label,option,select,textarea{
-webkit-font-smoothing: antialiased
}
input[type=radio]{
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
margin: 0;
background: 0;
position: fixed;
opacity: 0;
border: none
}
input[type=radio]+label{
line-height: 16px
}
input[type=radio]+label: before{
background: linear-gradient(135deg,#dcdcd7,#fff);
border-radius: 50%;
border: 1px solid #1d5281
}
input[type=radio]: not([disabled]): not(: active)+label: hover: before{
box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
}
input[type=radio]: active+label: before{
background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
}
input[type=radio]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
}
input[type=radio]: focus+label{
outline: 1px dotted #000
}
input[type=radio][disabled]+label: before{
border: 1px solid #cac8bb;
background: #fff
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
}
input[type=email],input[type=password],textarea: :selection{
background: #2267cb;
color: #fff
}
input[type=range]: :-webkit-slider-thumb{
height: 21px;
width: 11px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(-8px)
}
input[type=range]: :-moz-range-thumb{
height: 21px;
width: 11px;
border: 0;
border-radius: 0;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(2px)
}
input[type=range]: :-webkit-slider-runnable-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range]: :-moz-range-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
fieldset{
box-shadow: none;
background: #fff;
border: 1px solid #d0d0bf;
border-radius: 4px;
padding-top: 10px
}
legend{
background: transparent;
color: #0046d5
}
.field-row{
display: flex;
align-items: center
}
.field-row>*+*{
margin-left: 6px
}
[class^=field-row]+[class^=field-row]{
margin-top: 6px
}
.field-row-stacked{
display: flex;
flex-direction: column
}
.field-row-stacked *+*{
margin-top: 6px
}
menu[role=tablist] button{
background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
margin-left: -1px;
margin-right: 2px;
border-radius: 0;
border-color: #91a7b4;
border-top-right-radius: 3px;
border-top-left-radius: 3px;
padding: 0 12px 3px
}
menu[role=tablist] button: hover{
box-shadow: unset;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c
}
menu[role=tablist] button[aria-selected=true]{
border-color: #919b9c;
margin-right: -1px;
border-bottom: 1px solid transparent;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c
}
menu[role=tablist] button[aria-selected=true]: first-of-type: before{
content: "";
display: block;
position: absolute;
z-index: -1;
top: 100%;
left: -1px;
height: 2px;
width: 0;
border-left: 1px solid #919b9c
}
[role=tabpanel]{
box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
}
ul.tree-view{
-webkit-font-smoothing: auto;
border: 1px solid #7f9db9;
padding: 2px 5px
}
@keyframes sliding{
0%{
transform: translateX(-30px)
}
to{
transform: translateX(100%)
}
}
progress{
box-sizing: border-box;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
height: 14px;
border: 1px solid #686868;
border-radius: 4px;
padding: 1px 2px 1px 0;
overflow: hidden;
background-color: #fff;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
-moz-box-shadow: inset 0 0 1px 0 #686868
}
progress,progress: not([value]){
box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]){
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
height: 14px
}
progress[value]: :-webkit-progress-bar{
background-color: transparent
}
progress[value]: :-webkit-progress-value{
border-radius: 2px;
background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress[value]: :-moz-progress-bar{
border-radius: 2px;
background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): :-webkit-progress-bar{
width: 100%;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
animation: sliding 2s linear 0s infinite
}
progress: not([value]): :-webkit-progress-bar: not([value]){
animation: sliding 2s linear 0s infinite;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]){
position: relative
}
progress: not([value]): before{
box-sizing: border-box;
content: "";
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background-color: #fff;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
-moz-box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): before,progress: not([value]): before: not([value]){
box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): before: not([value]){
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): after{
box-sizing: border-box;
content: "";
position: absolute;
top: 1px;
left: 2px;
width: 100%;
height: calc(100% - 2px);
padding: 1px 2px;
border-radius: 2px;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): after,progress: not([value]): after: not([value]){
animation: sliding 2s linear 0s infinite
}
progress: not([value]): after: not([value]){
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): :-moz-progress-bar{
width: 100%;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
animation: sliding 2s linear 0s infinite
}
progress: not([value]): :-moz-progress-bar: not([value]){
animation: sliding 2s linear 0s infinite;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress:not([value])::-moz-progress-bar {
width: 100%;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
animation: sliding 2s linear 0s infinite;
}
progress:not([value])::after {
box-sizing: border-box;
content: "";
position: absolute;
top: 1px;
left: 2px;
width: 100%;
height: calc(100% - 2px);
padding: 1px 2px;
border-radius: 2px;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
}
progress:not([value])::before {
box-sizing: border-box;
content: "";
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background-color: #fff;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
-moz-box-shadow: inset 0 0 1px 0 #686868;
}
Element {
}
progress:not([value]) {
position: relative;
}
progress:not([value]) {
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
height: 14px;
}
</style>
</head>
<body>
<script>
var log = console.log;
var theme = 'light';
var special_col_names = ["trial_index","arm_name","trial_status","generation_method","generation_node","hostname","run_time","start_time","exit_code","signal","end_time","program_string"]
var result_names = [
"RESULT",
"TIME"
];
var result_min_max = [
"min",
"min"
];
var pareto_front_data = {
"RESULT": {
"TIME": {
"param_dicts": [
{
"epochs": 252,
"lr": 0.016627478961832823,
"bsz": 27,
"da": 70,
"db": 103
},
{
"epochs": 219,
"lr": 0.012160325544900416,
"bsz": 32,
"da": 42,
"db": 146
},
{
"epochs": 37,
"lr": 0.017935924083963162,
"bsz": 15,
"da": 88,
"db": 92
},
{
"epochs": 75,
"lr": 0.019417145510611935,
"bsz": 32,
"da": 138,
"db": 97
},
{
"epochs": 62,
"lr": 0.01873789956146741,
"bsz": 27,
"da": 189,
"db": 79
},
{
"epochs": 30,
"lr": 0.020238451374317727,
"bsz": 15,
"da": 190,
"db": 91
},
{
"epochs": 10,
"lr": 0.05,
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"da": 75,
"db": 78
},
{
"epochs": 30,
"lr": 0.035468834406224364,
"bsz": 32,
"da": 10,
"db": 10
},
{
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"lr": 0.02349139576096221,
"bsz": 11,
"da": 189,
"db": 53
},
{
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"lr": 0.034417014208366216,
"bsz": 15,
"da": 82,
"db": 49
},
{
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"lr": 0.01829487058143354,
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"db": 10
},
{
"epochs": 10,
"lr": 0.05,
"bsz": 24,
"da": 35,
"db": 50
},
{
"epochs": 10,
"lr": 0.001,
"bsz": 26,
"da": 67,
"db": 10
}
],
"means": {
"RESULT": [
0.18947368420000002,
0.19999999999999996,
0.2,
0.22631578947368425,
0.2263157895,
0.2315789473684211,
0.2315789474,
0.2421052631578947,
0.2631578947,
0.2947368421,
0.3157894737,
0.3526315789,
0.4210526316
],
"TIME": [
4.0144188404,
3.2762510776519775,
1.8074305058,
1.634770154953003,
1.4777572155,
1.419079303741455,
0.947378397,
0.8993456363677979,
0.8350558281,
0.8049597740000001,
0.6810004711000001,
0.6632730961000001,
0.6437284946
]
},
"absolute_metrics": [
"RESULT",
"TIME"
]
}
}
};
var tab_results_headers_json = [
"trial_index",
"arm_name",
"trial_status",
"generation_node",
"RESULT",
"TIME",
"epochs",
"lr",
"bsz",
"da",
"db"
];
var tab_results_csv_json = [
[
0,
"0_0",
"COMPLETED",
"SOBOL",
0.36315789470000004,
15.3327825069,
345,
0.025903163433074954,
8,
200,
66
],
[
1,
"1_0",
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];
var tab_main_worker_cpu_ram_headers_json = [
"timestamp",
"ram_usage_mb",
"cpu_usage_percent"
];
"use strict";
function add_default_layout_data (layout, no_height = 0) {
layout["width"] = get_graph_width();
if (!no_height) {
layout["height"] = get_graph_height();
}
layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
return layout;
}
function get_marker_size() {
return 12;
}
function get_text_color() {
return theme == "dark" ? "white" : "black";
}
function get_font_size() {
return 14;
}
function get_graph_height() {
return 800;
}
function get_font_data() {
return {
size: get_font_size(),
color: get_text_color()
}
}
function get_axis_title_data(name, axis_type = "") {
if(axis_type) {
return {
text: name,
type: axis_type,
font: get_font_data()
};
}
return {
text: name,
font: get_font_data()
};
}
function get_graph_width() {
var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
return Math.max(800, Math.floor(width * 0.9));
}
function createTable(data, headers, table_name) {
if (!$("#" + table_name).length) {
console.error("#" + table_name + " not found");
return;
}
new gridjs.Grid({
columns: headers,
data: data,
search: true,
sort: true,
ellipsis: false
}).render(document.getElementById(table_name));
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
colorize_table_entries();
add_colorize_to_gridjs_table();
}
function download_as_file(id, filename) {
var text = $("#" + id).text();
var blob = new Blob([text], {
type: "text/plain"
});
var link = document.createElement("a");
link.href = URL.createObjectURL(blob);
link.download = filename;
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
}
function copy_to_clipboard_from_id (id) {
var text = $("#" + id).text();
copy_to_clipboard(text);
}
function copy_to_clipboard(text) {
if (!navigator.clipboard) {
let textarea = document.createElement("textarea");
textarea.value = text;
document.body.appendChild(textarea);
textarea.select();
try {
document.execCommand("copy");
} catch (err) {
console.error("Copy failed:", err);
}
document.body.removeChild(textarea);
return;
}
navigator.clipboard.writeText(text).then(() => {
console.log("Text copied to clipboard");
}).catch(err => {
console.error("Failed to copy text:", err);
});
}
function filterNonEmptyRows(data) {
var new_data = [];
for (var row_idx = 0; row_idx < data.length; row_idx++) {
var line = data[row_idx];
var line_has_empty_data = false;
for (var col_idx = 0; col_idx < line.length; col_idx++) {
var col_header_name = tab_results_headers_json[col_idx];
var single_data_point = line[col_idx];
if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
line_has_empty_data = true;
continue;
}
}
if(!line_has_empty_data) {
new_data.push(line);
}
}
return new_data;
}
function make_text_in_parallel_plot_nicer() {
$(".parcoords g > g > text").each(function() {
if (theme == "dark") {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "white")
.css("stroke", "black")
.css("stroke-width", "2px")
.css("paint-order", "stroke fill");
} else {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "black")
.css("stroke", "unset")
.css("stroke-width", "unset")
.css("paint-order", "stroke fill");
}
});
}
function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
if ($("#parallel-plot").data("loaded") == "true") {
return;
}
dataArray = filterNonEmptyRows(dataArray);
const ignoreSet = new Set(ignoreColumns);
const numericalCols = [];
const categoricalCols = [];
const categoryMappings = {};
headers.forEach((header, colIndex) => {
if (ignoreSet.has(header)) return;
const values = dataArray.map(row => row[colIndex]);
if (values.every(val => !isNaN(parseFloat(val)))) {
numericalCols.push({ name: header, index: colIndex });
} else {
categoricalCols.push({ name: header, index: colIndex });
const uniqueValues = [...new Set(values)];
categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
}
});
const dimensions = [];
numericalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => parseFloat(row[col.index])),
range: [
Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
Math.max(...dataArray.map(row => parseFloat(row[col.index])))
]
});
});
categoricalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
tickvals: Object.values(categoryMappings[col.name]),
ticktext: Object.keys(categoryMappings[col.name])
});
});
let colorScale = null;
let colorValues = null;
if (resultNames.length > 1) {
let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
selectBox += '<option value="none">No color</option>';
var k = 0;
resultNames.forEach(resultName => {
var minMax = result_min_max[k];
if(minMax === undefined) {
minMax = "min [automatically chosen]"
}
selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
k = k + 1;
});
selectBox += '</select>';
$("#parallel-plot").before(selectBox);
$("#result-select").change(function() {
const selectedResult = $(this).val();
if (selectedResult === "none") {
colorValues = null;
colorScale = null;
} else {
const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
let minResult = Math.min(...colorValues);
let maxResult = Math.max(...colorValues);
var _result_min_max_idx = result_names.indexOf(selectedResult);
let invertColor = false;
if (result_min_max.length > _result_min_max_idx) {
invertColor = result_min_max[_result_min_max_idx] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
}
updatePlot();
});
} else {
let invertColor = false;
if (Object.keys(result_min_max).length == 1) {
invertColor = result_min_max[0] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
}
function updatePlot() {
const trace = {
type: 'parcoords',
dimensions: dimensions,
line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
unselected: {
line: {
color: get_text_color(),
opacity: 0
}
},
};
dimensions.forEach(dim => {
if (!dim.line) {
dim.line = {};
}
if (!dim.line.color) {
dim.line.color = 'rgba(169,169,169, 0.01)';
}
});
Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
make_text_in_parallel_plot_nicer();
}
updatePlot();
$("#parallel-plot").data("loaded", "true");
make_text_in_parallel_plot_nicer();
}
function plotWorkerUsage() {
if($("#workerUsagePlot").data("loaded") == "true") {
return;
}
var data = tab_worker_usage_csv_json;
if (!Array.isArray(data) || data.length === 0) {
console.error("Invalid or empty data provided.");
return;
}
let timestamps = [];
let desiredWorkers = [];
let realWorkers = [];
for (let i = 0; i < data.length; i++) {
let entry = data[i];
if (!Array.isArray(entry) || entry.length < 3) {
console.warn("Skipping invalid entry:", entry);
continue;
}
let unixTime = parseFloat(entry[0]);
let desired = parseInt(entry[1], 10);
let real = parseInt(entry[2], 10);
if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
console.warn("Skipping invalid numerical values:", entry);
continue;
}
timestamps.push(new Date(unixTime * 1000).toISOString());
desiredWorkers.push(desired);
realWorkers.push(real);
}
let trace1 = {
x: timestamps,
y: desiredWorkers,
mode: 'lines+markers',
name: 'Desired Workers',
line: {
color: 'blue'
}
};
let trace2 = {
x: timestamps,
y: realWorkers,
mode: 'lines+markers',
name: 'Real Workers',
line: {
color: 'red'
}
};
let layout = {
title: "Worker Usage Over Time",
xaxis: {
title: get_axis_title_data("Time", "date")
},
yaxis: {
title: get_axis_title_data("Number of Workers")
},
legend: {
x: 0,
y: 1
}
};
Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
$("#workerUsagePlot").data("loaded", "true");
}
function plotCPUAndRAMUsage() {
if($("#mainWorkerCPURAM").data("loaded") == "true") {
return;
}
var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
var trace1 = {
x: timestamps,
y: cpuUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'CPU Usage (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: ramUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'RAM Usage (MB)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'CPU and RAM Usage Over Time',
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
overlaying: 'y',
side: 'right',
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var data = [trace1, trace2];
Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
$("#mainWorkerCPURAM").data("loaded", "true");
}
function plotScatter2d() {
if ($("#plotScatter2d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter2d");
var minInput = document.getElementById("minValue");
var maxInput = document.getElementById("maxValue");
if (!minInput || !maxInput) {
minInput = document.createElement("input");
minInput.id = "minValue";
minInput.type = "number";
minInput.placeholder = "Min Value";
minInput.step = "any";
maxInput = document.createElement("input");
maxInput.id = "maxValue";
maxInput.type = "number";
maxInput.placeholder = "Max Value";
maxInput.step = "any";
var inputContainer = document.createElement("div");
inputContainer.style.marginBottom = "10px";
inputContainer.appendChild(minInput);
inputContainer.appendChild(maxInput);
plotDiv.appendChild(inputContainer);
}
var resultSelect = document.getElementById("resultSelect");
if (result_names.length > 1 && !resultSelect) {
resultSelect = document.createElement("select");
resultSelect.id = "resultSelect";
resultSelect.style.marginBottom = "10px";
var sortedResults = [...result_names].sort();
sortedResults.forEach(result => {
var option = document.createElement("option");
option.value = result;
option.textContent = result;
resultSelect.appendChild(option);
});
var selectContainer = document.createElement("div");
selectContainer.style.marginBottom = "10px";
selectContainer.appendChild(resultSelect);
plotDiv.appendChild(selectContainer);
}
minInput.addEventListener("input", updatePlots);
maxInput.addEventListener("input", updatePlots);
if (resultSelect) {
resultSelect.addEventListener("change", updatePlots);
}
updatePlots();
async function updatePlots() {
var minValue = parseFloat(minInput.value);
var maxValue = parseFloat(maxInput.value);
if (isNaN(minValue)) minValue = -Infinity;
if (isNaN(maxValue)) maxValue = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var selectedResult = resultSelect ? resultSelect.value : result_names[0];
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 2) {
console.error("Not enough columns for Scatter-Plots");
return;
}
for (let i = 0; i < numericColumns.length; i++) {
for (let j = i + 1; j < numericColumns.length; j++) {
let xCol = numericColumns[i];
let yCol = numericColumns[j];
let xIndex = tab_results_headers_json.indexOf(xCol);
let yIndex = tab_results_headers_json.indexOf(yCol);
let data = tab_results_csv_json.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
}));
data = data.filter(d => d.result >= minResult && d.result <= maxResult);
let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
let layout = {
title: layoutTitle,
xaxis: {
title: get_axis_title_data(xCol)
},
yaxis: {
title: get_axis_title_data(yCol)
},
showlegend: false
};
let subDiv = document.createElement("div");
let spinnerContainer = document.createElement("div");
spinnerContainer.style.display = "flex";
spinnerContainer.style.alignItems = "center";
spinnerContainer.style.justifyContent = "center";
spinnerContainer.style.width = layout.width + "px";
spinnerContainer.style.height = layout.height + "px";
spinnerContainer.style.position = "relative";
let spinner = document.createElement("div");
spinner.className = "spinner";
spinner.style.width = "40px";
spinner.style.height = "40px";
let loadingText = document.createElement("span");
loadingText.innerText = `Loading ${layoutTitle}`;
loadingText.style.marginLeft = "10px";
spinnerContainer.appendChild(spinner);
spinnerContainer.appendChild(loadingText);
plotDiv.appendChild(spinnerContainer);
await new Promise(resolve => setTimeout(resolve, 50));
let colors = data.map(d => {
if (d.result === null) {
return 'rgb(0, 0, 0)';
} else {
let norm = (d.result - minResult) / (maxResult - minResult);
if (invertColor) {
norm = 1 - norm;
}
return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
}
});
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
mode: 'markers',
marker: {
size: get_marker_size(),
color: data.map(d => d.result !== null ? d.result : null),
colorscale: invertColor ? [
[0, 'red'],
[1, 'green']
] : [
[0, 'green'],
[1, 'red']
],
colorbar: {
title: 'Result',
tickvals: [minResult, maxResult],
ticktext: [`${minResult}`, `${maxResult}`]
},
symbol: data.map(d => d.result === null ? 'x' : 'circle'),
},
text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
type: 'scatter',
showlegend: false
};
try {
plotDiv.replaceChild(subDiv, spinnerContainer);
} catch (err) {
//
}
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
}
$("#plotScatter2d").data("loaded", "true");
}
function plotScatter3d() {
if ($("#plotScatter3d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter3d");
if (!plotDiv) {
console.error("Div element with id 'plotScatter3d' not found");
return;
}
plotDiv.innerHTML = "";
var minInput3d = document.getElementById("minValue3d");
var maxInput3d = document.getElementById("maxValue3d");
if (!minInput3d || !maxInput3d) {
minInput3d = document.createElement("input");
minInput3d.id = "minValue3d";
minInput3d.type = "number";
minInput3d.placeholder = "Min Value";
minInput3d.step = "any";
maxInput3d = document.createElement("input");
maxInput3d.id = "maxValue3d";
maxInput3d.type = "number";
maxInput3d.placeholder = "Max Value";
maxInput3d.step = "any";
var inputContainer3d = document.createElement("div");
inputContainer3d.style.marginBottom = "10px";
inputContainer3d.appendChild(minInput3d);
inputContainer3d.appendChild(maxInput3d);
plotDiv.appendChild(inputContainer3d);
}
var select3d = document.getElementById("select3dScatter");
if (result_names.length > 1 && !select3d) {
if (!select3d) {
select3d = document.createElement("select");
select3d.id = "select3dScatter";
select3d.style.marginBottom = "10px";
select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
select3d.addEventListener("change", updatePlots3d);
plotDiv.appendChild(select3d);
}
}
minInput3d.addEventListener("input", updatePlots3d);
maxInput3d.addEventListener("input", updatePlots3d);
updatePlots3d();
async function updatePlots3d() {
var selectedResult = select3d ? select3d.value : result_names[0];
var minValue3d = parseFloat(minInput3d.value);
var maxValue3d = parseFloat(maxInput3d.value);
if (isNaN(minValue3d)) minValue3d = -Infinity;
if (isNaN(maxValue3d)) maxValue3d = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 3) {
console.error("Not enough columns for 3D scatter plots");
return;
}
for (let i = 0; i < numericColumns.length; i++) {
for (let j = i + 1; j < numericColumns.length; j++) {
for (let k = j + 1; k < numericColumns.length; k++) {
let xCol = numericColumns[i];
let yCol = numericColumns[j];
let zCol = numericColumns[k];
let xIndex = tab_results_headers_json.indexOf(xCol);
let yIndex = tab_results_headers_json.indexOf(yCol);
let zIndex = tab_results_headers_json.indexOf(zCol);
let data = tab_results_csv_json.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
z: parseFloat(row[zIndex]),
result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
}));
data = data.filter(d => d.result >= minResult && d.result <= maxResult);
let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
let layout = {
title: layoutTitle,
scene: {
xaxis: {
title: get_axis_title_data(xCol)
},
yaxis: {
title: get_axis_title_data(yCol)
},
zaxis: {
title: get_axis_title_data(zCol)
}
},
showlegend: false
};
let spinnerContainer = document.createElement("div");
spinnerContainer.style.display = "flex";
spinnerContainer.style.alignItems = "center";
spinnerContainer.style.justifyContent = "center";
spinnerContainer.style.width = layout.width + "px";
spinnerContainer.style.height = layout.height + "px";
spinnerContainer.style.position = "relative";
let spinner = document.createElement("div");
spinner.className = "spinner";
spinner.style.width = "40px";
spinner.style.height = "40px";
let loadingText = document.createElement("span");
loadingText.innerText = `Loading ${layoutTitle}`;
loadingText.style.marginLeft = "10px";
spinnerContainer.appendChild(spinner);
spinnerContainer.appendChild(loadingText);
plotDiv.appendChild(spinnerContainer);
await new Promise(resolve => setTimeout(resolve, 50));
let colors = data.map(d => {
if (d.result === null) {
return 'rgb(0, 0, 0)';
} else {
let norm = (d.result - minResult) / (maxResult - minResult);
if (invertColor) {
norm = 1 - norm;
}
return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
}
});
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
z: data.map(d => d.z),
mode: 'markers',
marker: {
size: get_marker_size(),
color: data.map(d => d.result !== null ? d.result : null),
colorscale: invertColor ? [
[0, 'red'],
[1, 'green']
] : [
[0, 'green'],
[1, 'red']
],
colorbar: {
title: 'Result',
tickvals: [minResult, maxResult],
ticktext: [`${minResult}`, `${maxResult}`]
},
},
text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
type: 'scatter3d',
showlegend: false
};
let subDiv = document.createElement("div");
try {
plotDiv.replaceChild(subDiv, spinnerContainer);
} catch (err) {
//
}
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
}
}
$("#plotScatter3d").data("loaded", "true");
}
async function plot_worker_cpu_ram() {
if($("#worker_cpu_ram_pre").data("loaded") == "true") {
return;
}
const logData = $("#worker_cpu_ram_pre").text();
const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
const hostData = {};
logData.split("\n").forEach(line => {
line = line.trim();
const match = line.match(regex);
if (match) {
const timestamp = new Date(parseInt(match[1]) * 1000);
const hostname = match[2];
const cpu = parseFloat(match[3]);
const ram = parseFloat(match[4]);
if (!hostData[hostname]) {
hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
}
hostData[hostname].timestamps.push(timestamp);
hostData[hostname].cpuUsage.push(cpu);
hostData[hostname].ramUsage.push(ram);
}
});
if (!Object.keys(hostData).length) {
console.log("No valid data found");
return;
}
const container = document.getElementById("cpuRamWorkerChartContainer");
container.innerHTML = "";
var i = 1;
Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
const chartId = `workerChart_${index}`;
const chartDiv = document.createElement("div");
chartDiv.id = chartId;
chartDiv.style.marginBottom = "40px";
container.appendChild(chartDiv);
const cpuTrace = {
x: timestamps,
y: cpuUsage,
mode: "lines+markers",
name: "CPU Usage (%)",
yaxis: "y1",
line: {
color: "red"
}
};
const ramTrace = {
x: timestamps,
y: ramUsage,
mode: "lines+markers",
name: "RAM Usage (MB)",
yaxis: "y2",
line: {
color: "blue"
}
};
const layout = {
title: `Worker CPU and RAM Usage - ${hostname}`,
xaxis: {
title: get_axis_title_data("Timestamp", "date")
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
side: "left",
color: "red"
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
side: "right",
overlaying: "y",
color: "blue"
},
showlegend: true
};
Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
i++;
});
$("#plot_worker_cpu_ram_button").remove();
$("#worker_cpu_ram_pre").data("loaded", "true");
}
function load_log_file(log_nr, filename) {
var pre_id = `single_run_${log_nr}_pre`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
fetch(url)
.then(response => response.json())
.then(data => {
if (data.data) {
$("#" + pre_id).html(data.data);
$("#" + pre_id).data("loaded", true);
} else {
log(`No 'data' key found in response.`);
}
$("#spinner_log_" + log_nr).remove();
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#spinner_log_" + log_nr).remove();
});
}
}
function load_debug_log () {
var pre_id = `here_debuglogs_go`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
fetch(url)
.then(response => response.json())
.then(data => {
$("#debug_log_spinner").remove();
if (data.data) {
try {
$("#" + pre_id).html(data.data);
} catch (err) {
$("#" + pre_id).text(`Error loading data: ${err}`);
}
$("#" + pre_id).data("loaded", true);
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
} else {
log(`No 'data' key found in response.`);
}
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#debug_log_spinner").remove();
});
}
}
function plotBoxplot() {
if ($("#plotBoxplot").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough numeric columns for Boxplot");
return;
}
var resultIndex = tab_results_headers_json.findIndex(function(header) {
return result_names.includes(header.toLowerCase());
});
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
var plotDiv = document.getElementById("plotBoxplot");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'box',
name: col,
boxmean: 'sd',
marker: {
color: 'rgb(0, 255, 0)'
},
};
});
let layout = {
title: 'Boxplot of Numerical Columns',
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Value")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotBoxplot").data("loaded", "true");
}
function plotHeatmap() {
if ($("#plotHeatmap").data("loaded") === "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col => {
if (special_col_names.includes(col) || result_names.includes(col)) {
return false;
}
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.every(row => {
let value = parseFloat(row[index]);
return !isNaN(value) && isFinite(value);
});
});
if (numericColumns.length < 2) {
console.error("Not enough valid numeric columns for Heatmap");
return;
}
var columnData = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.map(row => parseFloat(row[index]));
});
var dataMatrix = numericColumns.map((_, i) =>
numericColumns.map((_, j) => {
let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
return values.reduce((a, b) => a + b, 0) / values.length;
})
);
var trace = {
z: dataMatrix,
x: numericColumns,
y: numericColumns,
colorscale: 'Viridis',
type: 'heatmap'
};
var layout = {
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
var plotDiv = document.getElementById("plotHeatmap");
plotDiv.innerHTML = "";
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotHeatmap").data("loaded", "true");
}
function plotHistogram() {
if ($("#plotHistogram").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Histogram");
return;
}
var plotDiv = document.getElementById("plotHistogram");
plotDiv.innerHTML = "";
const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
let traces = numericColumns.map((col, index) => {
let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
return {
x: data,
type: 'histogram',
name: col,
opacity: 0.7,
marker: {
color: colorPalette[index % colorPalette.length]
},
autobinx: true
};
});
let layout = {
title: 'Histogram of Numerical Columns',
xaxis: {
title: get_axis_title_data("Value")
},
yaxis: {
title: get_axis_title_data("Frequency")
},
showlegend: true,
barmode: 'overlay'
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotHistogram").data("loaded", "true");
}
function plotViolin() {
if ($("#plotViolin").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Violin Plot");
return;
}
var plotDiv = document.getElementById("plotViolin");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'violin',
name: col,
box: {
visible: true
},
line: {
color: 'rgb(0, 255, 0)'
},
marker: {
color: 'rgb(0, 255, 0)'
},
meanline: {
visible: true
},
};
});
let layout = {
title: 'Violin Plot of Numerical Columns',
yaxis: {
title: get_axis_title_data("Value")
},
xaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotViolin").data("loaded", "true");
}
function plotExitCodesPieChart() {
if ($("#plotExitCodesPieChart").data("loaded") == "true") {
return;
}
var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
counts[exitCode] = (counts[exitCode] || 0) + 1;
return counts;
}, {});
var labels = Object.keys(exitCodeCounts);
var values = Object.values(exitCodeCounts);
var plotDiv = document.getElementById("plotExitCodesPieChart");
plotDiv.innerHTML = "";
var trace = {
labels: labels,
values: values,
type: 'pie',
hoverinfo: 'label+percent',
textinfo: 'label+value',
marker: {
colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
}
};
var layout = {
title: 'Exit Code Distribution',
showlegend: true
};
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotExitCodesPieChart").data("loaded", "true");
}
function plotResultEvolution() {
if ($("#plotResultEvolution").data("loaded") == "true") {
return;
}
result_names.forEach(resultName => {
var relevantColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
);
var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
var resultIndex = tab_results_headers_json.indexOf(resultName);
let data = tab_results_csv_json.map(row => ({
x: row[xColumnIndex],
y: parseFloat(row[resultIndex])
}));
data.sort((a, b) => a.x - b.x);
let xData = data.map(item => item.x);
let yData = data.map(item => item.y);
let trace = {
x: xData,
y: yData,
mode: 'lines+markers',
name: resultName,
line: {
shape: 'linear'
},
marker: {
size: get_marker_size()
}
};
let layout = {
title: `Evolution of ${resultName} over time`,
xaxis: {
title: get_axis_title_data("Trial-Index")
},
yaxis: {
title: get_axis_title_data(resultName)
},
showlegend: true
};
let subDiv = document.createElement("div");
document.getElementById("plotResultEvolution").appendChild(subDiv);
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
});
$("#plotResultEvolution").data("loaded", "true");
}
function plotResultPairs() {
if ($("#plotResultPairs").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotResultPairs");
plotDiv.innerHTML = "";
for (let i = 0; i < result_names.length; i++) {
for (let j = i + 1; j < result_names.length; j++) {
let xName = result_names[i];
let yName = result_names[j];
let xIndex = tab_results_headers_json.indexOf(xName);
let yIndex = tab_results_headers_json.indexOf(yName);
let data = tab_results_csv_json
.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
status: row[tab_results_headers_json.indexOf("trial_status")]
}));
let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
mode: 'markers',
marker: {
size: get_marker_size(),
color: colors
},
text: data.map(d => `Status: ${d.status}`),
type: 'scatter',
showlegend: false
};
let layout = {
xaxis: {
title: get_axis_title_data(xName)
},
yaxis: {
title: get_axis_title_data(yName)
},
showlegend: false
};
let subDiv = document.createElement("div");
plotDiv.appendChild(subDiv);
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
$("#plotResultPairs").data("loaded", "true");
}
function add_up_down_arrows_for_scrolling () {
const upArrow = document.createElement('div');
const downArrow = document.createElement('div');
const style = document.createElement('style');
style.innerHTML = `
.scroll-arrow {
position: fixed;
right: 10px;
z-index: 100;
cursor: pointer;
font-size: 25px;
display: none;
background-color: green;
color: white;
padding: 5px;
outline: 2px solid white;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
transition: background-color 0.3s, transform 0.3s;
}
.scroll-arrow:hover {
background-color: darkgreen;
transform: scale(1.1);
}
#up-arrow {
top: 10px;
}
#down-arrow {
bottom: 10px;
}
`;
document.head.appendChild(style);
upArrow.id = "up-arrow";
upArrow.classList.add("scroll-arrow");
upArrow.classList.add("invert_in_dark_mode");
upArrow.innerHTML = "↑";
downArrow.id = "down-arrow";
downArrow.classList.add("scroll-arrow");
downArrow.classList.add("invert_in_dark_mode");
downArrow.innerHTML = "↓";
document.body.appendChild(upArrow);
document.body.appendChild(downArrow);
function checkScrollPosition() {
const scrollPosition = window.scrollY;
const pageHeight = document.documentElement.scrollHeight;
const windowHeight = window.innerHeight;
if (scrollPosition > 0) {
upArrow.style.display = "block";
} else {
upArrow.style.display = "none";
}
if (scrollPosition + windowHeight < pageHeight) {
downArrow.style.display = "block";
} else {
downArrow.style.display = "none";
}
}
window.addEventListener("scroll", checkScrollPosition);
upArrow.addEventListener("click", function () {
window.scrollTo({ top: 0, behavior: 'smooth' });
});
downArrow.addEventListener("click", function () {
window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
});
checkScrollPosition();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
function plotGPUUsage() {
if ($("#tab_gpu_usage").data("loaded") === "true") {
return;
}
Object.keys(gpu_usage).forEach(node => {
const nodeData = gpu_usage[node];
var timestamps = [];
var gpuUtilizations = [];
var temperatures = [];
nodeData.forEach(entry => {
try {
var timestamp = new Date(entry[0]* 1000);
var utilization = parseFloat(entry[1]);
var temperature = parseFloat(entry[2]);
if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
timestamps.push(timestamp);
gpuUtilizations.push(utilization);
temperatures.push(temperature);
} else {
console.warn("Invalid data point:", entry);
}
} catch (error) {
console.error("Error processing GPU data entry:", error, entry);
}
});
var trace1 = {
x: timestamps,
y: gpuUtilizations,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'GPU Utilization (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: temperatures,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'GPU Temperature (°C)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'GPU Usage Over Time - ' + node,
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("GPU Utilization (%)"),
overlaying: 'y',
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("GPU Temperature (°C)"),
overlaying: 'y',
side: 'right',
position: 0.85,
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var divId = 'gpu_usage_plot_' + node;
if (!document.getElementById(divId)) {
var div = document.createElement('div');
div.id = divId;
div.className = 'gpu-usage-plot';
document.getElementById('tab_gpu_usage').appendChild(div);
}
var plotData = [trace1, trace2];
Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
});
$("#tab_gpu_usage").data("loaded", "true");
}
function plotResultsDistributionByGenerationMethod() {
if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
return;
}
var res_col = result_names[0];
var gen_method_col = "generation_node";
var data = {};
tab_results_csv_json.forEach(row => {
var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
var result = row[tab_results_headers_json.indexOf(res_col)];
if (!data[gen_method]) {
data[gen_method] = [];
}
data[gen_method].push(result);
});
var traces = Object.keys(data).map(method => {
return {
y: data[method],
type: 'box',
name: method,
boxpoints: 'outliers',
jitter: 0.5,
pointpos: 0
};
});
var layout = {
title: 'Distribution of Results by Generation Method',
yaxis: {
title: get_axis_title_data(res_col)
},
xaxis: {
title: get_axis_title_data("Generation Method")
},
boxmode: 'group'
};
Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
}
function plotJobStatusDistribution() {
if ($("#plotJobStatusDistribution").data("loaded") === "true") {
return;
}
var status_col = "trial_status";
var status_counts = {};
tab_results_csv_json.forEach(row => {
var status = row[tab_results_headers_json.indexOf(status_col)];
if (status) {
status_counts[status] = (status_counts[status] || 0) + 1;
}
});
var statuses = Object.keys(status_counts);
var counts = Object.values(status_counts);
var colors = statuses.map((status, i) =>
status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
);
var trace = {
x: statuses,
y: counts,
type: 'bar',
marker: { color: colors }
};
var layout = {
title: 'Distribution of Job Status',
xaxis: { title: 'Trial Status' },
yaxis: { title: 'Nr. of jobs' }
};
Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
$("#plotJobStatusDistribution").data("loaded", "true");
}
function _colorize_table_entries_by_generation_method () {
document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
let text = el.textContent.toLowerCase();
let color = text.includes("manual") ? "green" :
text.includes("sobol") ? "orange" :
text.includes("saasbo") ? "pink" :
text.includes("uniform") ? "lightblue" :
text.includes("legacy_gpei") ? "sienna" :
text.includes("bo_mixed") ? "aqua" :
text.includes("randomforest") ? "darkseagreen" :
text.includes("external_generator") ? "purple" :
text.includes("botorch") ? "yellow" : "";
if (color !== "") {
el.style.backgroundColor = color;
}
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_trial_status () {
document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
el.textContent.includes("RUNNING") ? "orange" :
el.textContent.includes("FAILED") ? "red" :
el.textContent.includes("ABANDONED") ? "yellow" : "";
if (color) el.style.backgroundColor = color;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_run_time() {
let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
if (values.length === 0) return;
let min = Math.min(...values);
let max = Math.max(...values);
let range = max - min || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value)) return;
let ratio = (value - min) / range;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_results() {
result_names.forEach((name, index) => {
let minMax = result_min_max[index];
let selector_query = `[data-column-id="${name}"]`;
let cells = [...document.querySelectorAll(selector_query)];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
if (values.length === 0) return;
let logValues = values.map(v => Math.log(v));
let logMin = Math.min(...logValues);
let logMax = Math.max(...logValues);
let logRange = logMax - logMin || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value) || value <= 0) return;
let logValue = Math.log(value);
let ratio = (logValue - logMin) / logRange;
if (minMax === "max") ratio = 1 - ratio;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
});
});
}
function _colorize_table_entries_by_generation_node_or_hostname() {
["hostname", "generation_node"].forEach(element => {
let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
let cells = [...document.querySelectorAll(selector_query)];
if (cells.length === 0) return;
let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
let colorMap = {};
uniqueValues.forEach((value, index) => {
let hue = Math.round((360 / uniqueValues.length) * index);
colorMap[value] = `hsl(${hue}, 70%, 60%)`;
});
cells.forEach(el => {
let value = el.textContent.trim();
if (colorMap[value]) {
el.style.backgroundColor = colorMap[value];
el.classList.add("invert_in_dark_mode");
}
});
});
}
function colorize_table_entries () {
setTimeout(() => {
if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
_colorize_table_entries_by_trial_status();
_colorize_table_entries_by_results();
_colorize_table_entries_by_run_time();
_colorize_table_entries_by_generation_method();
_colorize_table_entries_by_generation_node_or_hostname();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
}, 300);
}
function add_colorize_to_gridjs_table () {
let searchInput = document.querySelector(".gridjs-search-input");
if (searchInput) {
searchInput.addEventListener("input", colorize_table_entries);
}
}
function updatePreWidths() {
var width = window.innerWidth * 0.95;
var pres = document.getElementsByTagName('pre');
for (var i = 0; i < pres.length; i++) {
pres[i].style.width = width + 'px';
}
}
function demo_mode(nr_sec = 3) {
let i = 0;
let tabs = $('menu[role="tablist"] > button');
setInterval(() => {
tabs.attr('aria-selected', 'false').removeClass('active');
let tab = tabs.eq(i % tabs.length);
tab.attr('aria-selected', 'true').addClass('active');
tab.trigger('click');
i++;
}, nr_sec * 1000);
}
function resizePlotlyCharts() {
const plotlyElements = document.querySelectorAll('.js-plotly-plot');
if (plotlyElements.length) {
const windowWidth = window.innerWidth;
const windowHeight = window.innerHeight;
const newWidth = windowWidth * 0.9;
const newHeight = windowHeight * 0.9;
plotlyElements.forEach(function(element, index) {
const layout = {
width: newWidth,
height: newHeight,
plot_bgcolor: 'rgba(0, 0, 0, 0)',
paper_bgcolor: 'rgba(0, 0, 0, 0)',
};
Plotly.relayout(element, layout)
});
}
make_text_in_parallel_plot_nicer();
apply_theme_based_on_system_preferences();
}
window.addEventListener('load', updatePreWidths);
window.addEventListener('resize', updatePreWidths);
$(document).ready(function() {
colorize_table_entries();
add_up_down_arrows_for_scrolling();
add_colorize_to_gridjs_table();
});
window.addEventListener('resize', function() {
resizePlotlyCharts();
});
"use strict";
function get_row_by_index(idx) {
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
if(trial_index_col_idx == -1) {
error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
return null;
}
for (var i = 0; i < tab_results_csv_json.length; i++) {
var row = tab_results_csv_json[i];
var trial_index = row[trial_index_col_idx];
if (trial_index == idx) {
return row;
}
}
return null;
}
function load_pareto_graph_from_idxs () {
if (!Object.keys(window).includes("pareto_idxs")) {
error("pareto_idxs is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
if(pareto_idxs === null) {
var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
return;
}
var table = get_pareto_table_data_from_idx();
var html_tables = createParetoTablesFromData(table);
$("#pareto_from_idxs_table").html(html_tables);
renderParetoFrontPlots(table);
apply_theme_based_on_system_preferences();
}
function renderParetoFrontPlots(data) {
try {
let container = document.getElementById("pareto_front_idxs_plot_container");
if (!container) {
console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
return;
}
container.innerHTML = "";
if(data === undefined || data === null) {
var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
return;
}
Object.keys(data).forEach((key, idx) => {
if (!key.startsWith("Pareto front for ")) return;
let label = key.replace("Pareto front for ", "");
let [xKey, yKey] = label.split("/");
if (!xKey || !yKey) {
console.warn("Could not extract two objectives from key:", key);
return;
}
let entries = data[key];
let x = [];
let y = [];
let hoverTexts = [];
entries.forEach((entry) => {
let results = entry.results || {};
let values = entry.values || {};
let xVal = (results[xKey] || [])[0];
let yVal = (results[yKey] || [])[0];
if (xVal === undefined || yVal === undefined) {
console.warn("Missing values for", xKey, yKey, "in", entry);
return;
}
x.push(xVal);
y.push(yVal);
let hoverInfo = [];
if ("trial_index" in values) {
hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
}
Object.keys(values)
.filter(k => k !== "trial_index")
.sort()
.forEach(k => {
hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
});
Object.keys(results)
.sort()
.forEach(k => {
hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
});
hoverTexts.push(hoverInfo.join("<br>"));
});
let wrapper = document.createElement("div");
wrapper.style.marginBottom = "30px";
let titleEl = document.createElement("h3");
titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
wrapper.appendChild(titleEl);
let divId = `pareto_plot_${idx}`;
let plotDiv = document.createElement("div");
plotDiv.id = divId;
plotDiv.style.width = "100%";
plotDiv.style.height = "400px";
wrapper.appendChild(plotDiv);
container.appendChild(wrapper);
let trace = {
x: x,
y: y,
text: hoverTexts,
hoverinfo: "text",
mode: "markers",
type: "scatter",
marker: {
size: 8,
color: 'rgb(31, 119, 180)',
line: {
width: 1,
color: 'black'
}
},
name: label
};
let layout = {
xaxis: { title: { text: xKey } },
yaxis: { title: { text: yKey } },
margin: { t: 10, l: 60, r: 20, b: 50 },
hovermode: "closest",
showlegend: false
};
Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
});
} catch (e) {
console.error("Error while rendering Pareto front plots:", e);
}
}
function createParetoTablesFromData(data) {
try {
var container = document.createElement("div");
var parsedData;
try {
parsedData = typeof data === "string" ? JSON.parse(data) : data;
} catch (e) {
console.error("JSON parsing failed:", e);
return container;
}
for (var sectionTitle in parsedData) {
if (!parsedData.hasOwnProperty(sectionTitle)) {
continue;
}
var sectionData = parsedData[sectionTitle];
var heading = document.createElement("h2");
heading.textContent = sectionTitle;
container.appendChild(heading);
var table = document.createElement("table");
table.style.borderCollapse = "collapse";
table.style.marginBottom = "2em";
table.style.width = "100%";
var thead = document.createElement("thead");
var headerRow = document.createElement("tr");
var allValueKeys = new Set();
var allResultKeys = new Set();
sectionData.forEach(entry => {
var values = entry.values || {};
var results = entry.results || {};
Object.keys(values).forEach(key => {
allValueKeys.add(key);
});
Object.keys(results).forEach(key => {
allResultKeys.add(key);
});
});
var sortedValueKeys = Array.from(allValueKeys).sort();
var sortedResultKeys = Array.from(allResultKeys).sort();
if (sortedValueKeys.includes("trial_index")) {
sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
sortedValueKeys.unshift("trial_index");
}
var allColumns = [...sortedValueKeys, ...sortedResultKeys];
allColumns.forEach(col => {
var th = document.createElement("th");
th.textContent = col;
th.style.border = "1px solid black";
th.style.padding = "4px";
headerRow.appendChild(th);
});
thead.appendChild(headerRow);
table.appendChild(thead);
var tbody = document.createElement("tbody");
sectionData.forEach(entry => {
var tr = document.createElement("tr");
allColumns.forEach(col => {
var td = document.createElement("td");
td.style.border = "1px solid black";
td.style.padding = "4px";
var value = null;
if (col in entry.values) {
value = entry.values[col];
} else if (col in entry.results) {
value = entry.results[col];
}
if (Array.isArray(value)) {
td.textContent = value.join(", ");
} else {
td.textContent = value !== null && value !== undefined ? value : "";
}
tr.appendChild(td);
});
tbody.appendChild(tr);
});
table.appendChild(tbody);
container.appendChild(table);
}
return container;
} catch (err) {
console.error("Unexpected error:", err);
var errorDiv = document.createElement("div");
errorDiv.textContent = "Error generating tables.";
return errorDiv;
}
}
function get_pareto_table_data_from_idx () {
if (!Object.keys(window).includes("pareto_idxs")) {
error("pareto_idxs is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
var x_keys = Object.keys(pareto_idxs);
var tables = {};
for (var i = 0; i < x_keys.length; i++) {
var x_key = x_keys[i];
var y_keys = Object.keys(pareto_idxs[x_key]);
for (var j = 0; j < y_keys.length; j++) {
var y_key = y_keys[j];
var indices = pareto_idxs[x_key][y_key];
for (var k = 0; k < indices.length; k++) {
var idx = indices[k];
var row = get_row_by_index(idx);
if(row === null) {
error(`Error getting the row for index ${idx}`);
return;
}
var row_dict = {
"results": {},
"values": {},
};
for (var l = 0; l < tab_results_headers_json.length; l++) {
var header = tab_results_headers_json[l];
if (!special_col_names.includes(header) || header == "trial_index") {
var val = row[l];
if (result_names.includes(header)) {
if (!Object.keys(row_dict["results"]).includes(header)) {
row_dict["results"][header] = [];
}
row_dict["results"][header].push(val);
} else {
if (!Object.keys(row_dict["values"]).includes(header)) {
row_dict["values"][header] = [];
}
row_dict["values"][header].push(val);
}
}
}
var table_key = `Pareto front for ${x_key}/${y_key}`;
if(!Object.keys(tables).includes(table_key)) {
tables[table_key] = [];
}
tables[table_key].push(row_dict);
}
}
}
return tables;
}
function getMinMaxByResultName(resultName) {
try {
if (typeof resultName !== "string") {
error("Parameter resultName must be a string");
return;
}
if (!Array.isArray(result_names)) {
error("Global variable result_names is not an array or undefined");
return;
}
if (!Array.isArray(result_min_max)) {
error("Global variable result_min_max is not an array or undefined");
return;
}
if (result_names.length !== result_min_max.length) {
error("Global arrays result_names and result_min_max must have the same length");
return;
}
var index = result_names.indexOf(resultName);
if (index === -1) {
error("Result name '" + resultName + "' not found in result_names");
return;
}
var minMaxValue = result_min_max[index];
if (minMaxValue !== "min" && minMaxValue !== "max") {
error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
return;
}
return minMaxValue;
} catch (e) {
error("Unexpected error: " + e.message);
}
}
$(document).ready(function() {
colorize_table_entries();;
plotWorkerUsage();;
plotCPUAndRAMUsage();;
createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
plotScatter2d();;
plotScatter3d();
plotJobStatusDistribution();;
plotBoxplot();;
plotViolin();;
plotHistogram();;
plotHeatmap();;
plotResultPairs();;
plotResultEvolution();
colorize_table_entries();
});
</script>
<h1> Overview</h1>
<h2>Experiment overview </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>2200 </td></tr><tr><td> Number random steps</td><td>20 </td></tr><tr><td> Nr. of workers (parameter)</td><td>20 </td></tr><tr><td> Main process memory (GB)</td><td>8 </td></tr><tr><td> Worker memory (GB)</td><td>5 </td></tr><tr><td> Nr. imported jobs</td><td>200 </td></tr></tbody></table><h2>Experiment parameters </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> epochs</td><td>range</td><td>30</td><td>300</td><td>int</td><td>No </td></tr><tr><td> lr</td><td>range</td><td>0.001</td><td>0.05</td><td>float</td><td>No </td></tr><tr><td> bsz</td><td>range</td><td>12</td><td>32</td><td>int</td><td>No </td></tr></tbody></table><h2>Number of evaluations</h2>
<table>
<tbody>
<tr>
<th>Failed</th>
<th>Succeeded</th>
<th>Running</th>
<th>Total</th>
</tr>
<tr>
<td>0</td>
<td>314</td>
<td>1</td>
<td>315</td>
</tr>
</tbody>
</table>
<h2>Result names and types</h2>
<table>
<tr><th>name</th><th>min/max</th></tr>
<tr>
<td>RESULT</td>
<td>min</td>
</tr>
<tr>
<td>TIME</td>
<td>min</td>
</tr>
</table>
<h2>Last progressbar status</h2>
<tt>2025-05-28 15:08:35: SOBOL, 314 done, running 1∑1 (0%/20), finishing jobs (_get_next_trials), finished 1 job</tt><br>
<h2>Git-Version</h2>
<tt>Commit: 0df3fade2f770e092f5b70052a6e23443befe74f (6877-24-g0df3fade2)
</tt>
<h1> Pareto-Fronts-Estimation</h1>
<div class='caveat warning'>The old algorithm for calculating the pareto-front was buggy. Please re-calculate them using <tt>bash omniopt --calculate_pareto_front_of_job runs/path_to_job/run_nr --live_share</tt>.</div><div id='pareto_front_graphs_container'></div>
<pre> Pareto-Front for RESULT/TIME:
┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━┳━━━━━┳━━━━━┳━━━━━━━━┳━━━━━━━━┓
┃ epochs ┃ lr ┃ bsz ┃ da ┃ db ┃ RESULT ┃ TIME ┃
┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━╇━━━━━╇━━━━━╇━━━━━━━━╇━━━━━━━━┩
│ 345 │ 0.025903163433074954252743893335 │ 8 │ 200 │ 66 │ 0.363 │ 15.333 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 174 │ 0.005775359461084008522169241928 │ 22 │ 32 │ 143 │ 0.279 │ 3.453 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 76 │ 0.039912726011127233616271325900 │ 13 │ 141 │ 207 │ 0.363 │ 2.843 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 252 │ 0.016627478961832822812461074591 │ 27 │ 70 │ 103 │ 0.189 │ 4.014 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 203 │ 0.048174699342809622348848819229 │ 20 │ 95 │ 73 │ 0.363 │ 4.144 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 41 │ 0.021791052578017118535047558225 │ 5 │ 119 │ 237 │ 0.363 │ 3.619 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 136 │ 0.037583327449858192070841766963 │ 32 │ 55 │ 173 │ 0.363 │ 2.234 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 299 │ 0.008232147173024714770228627003 │ 17 │ 174 │ 36 │ 0.363 │ 5.951 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 286 │ 0.042725006626918915486612604582 │ 29 │ 108 │ 148 │ 0.363 │ 4.469 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.013839340071193875769672843035 │ 15 │ 83 │ 41 │ 0.216 │ 2.936 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 11 │ 0.028689818051643670854256029656 │ 20 │ 162 │ 130 │ 0.363 │ 0.812 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 189 │ 0.002964608523994684101399155196 │ 6 │ 44 │ 203 │ 0.258 │ 11.251 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 227 │ 0.034221261506900191307067871094 │ 12 │ 21 │ 234 │ 0.363 │ 7.093 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 57 │ 0.011618355571292340172595558556 │ 27 │ 188 │ 100 │ 0.305 │ 1.521 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 156 │ 0.044789998718537393784799860441 │ 10 │ 58 │ 10 │ 0.363 │ 5.514 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 322 │ 0.025151657477021218539681157722 │ 25 │ 129 │ 178 │ 0.363 │ 6.026 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 316 │ 0.045495020604692404386781845460 │ 15 │ 51 │ 114 │ 0.363 │ 8.130 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 141 │ 0.022939498839899898768868169441 │ 31 │ 169 │ 218 │ 0.200 │ 2.615 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 68 │ 0.031841154552996159265987330400 │ 6 │ 99 │ 132 │ 0.358 │ 4.545 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 239 │ 0.012443099276162685601354596088 │ 22 │ 124 │ 55 │ 0.205 │ 4.443 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 171 │ 0.017680302696069641332776711806 │ 31 │ 44 │ 29 │ 0.253 │ 2.417 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 24 │ 35 │ 50 │ 0.353 │ 0.663 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 131 │ 0.018402747019806164202604392699 │ 28 │ 34 │ 16 │ 0.284 │ 1.976 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 23 │ 10 │ 10 │ 0.395 │ 0.664 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 191 │ 0.017722426557444638517413437739 │ 32 │ 119 │ 10 │ 0.363 │ 2.742 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 73 │ 0.017384452471897099412601050972 │ 23 │ 154 │ 30 │ 0.363 │ 1.709 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 183 │ 0.017354746874606953588315860770 │ 32 │ 53 │ 225 │ 0.363 │ 2.860 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 13 │ 0.016318239907910200153784430199 │ 24 │ 49 │ 26 │ 0.347 │ 0.724 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 176 │ 0.017374392637534426947487631310 │ 27 │ 151 │ 142 │ 0.237 │ 3.250 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 97 │ 0.017648466175000005612405473698 │ 28 │ 14 │ 249 │ 0.363 │ 1.780 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 24 │ 10 │ 250 │ 0.358 │ 0.675 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 21 │ 0.001000000000000000020816681712 │ 23 │ 173 │ 141 │ 0.447 │ 0.924 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.017458514342450669881712244091 │ 32 │ 10 │ 10 │ 0.321 │ 1.674 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 24 │ 184 │ 192 │ 0.358 │ 0.692 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 126 │ 0.017824454907680968573924218390 │ 25 │ 200 │ 52 │ 0.363 │ 2.368 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 173 │ 0.017825463561557716718475319340 │ 18 │ 159 │ 30 │ 0.363 │ 3.953 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 22 │ 136 │ 244 │ 0.484 │ 1.974 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 52 │ 0.017313736657032716137472050377 │ 32 │ 12 │ 54 │ 0.368 │ 2.266 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 181 │ 0.017984054831182705314063241531 │ 32 │ 10 │ 123 │ 0.358 │ 3.734 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 14 │ 0.040229099643559626531263972993 │ 22 │ 200 │ 10 │ 0.363 │ 1.974 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 73 │ 0.012487944883151046171487763559 │ 23 │ 104 │ 102 │ 0.363 │ 1.776 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 188 │ 0.012609635738604459825884518409 │ 25 │ 87 │ 79 │ 0.305 │ 3.437 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 18 │ 0.011708715093221846656468265735 │ 23 │ 77 │ 128 │ 0.368 │ 1.122 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.041794599755004151198090056596 │ 24 │ 10 │ 130 │ 0.363 │ 0.767 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 19 │ 0.020510765699027065644965972524 │ 25 │ 182 │ 194 │ 0.363 │ 1.019 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 117 │ 0.012187045098319892674765263507 │ 23 │ 92 │ 82 │ 0.242 │ 3.619 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 34 │ 0.011828131868103237273048833345 │ 24 │ 87 │ 89 │ 0.316 │ 1.064 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 95 │ 0.020062690100526369557654149389 │ 28 │ 186 │ 204 │ 0.216 │ 2.547 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 14 │ 0.050000000000000002775557561563 │ 24 │ 36 │ 156 │ 0.363 │ 1.058 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 109 │ 0.023003483708627779635857990570 │ 32 │ 196 │ 237 │ 0.363 │ 2.705 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.030294553668301638094106920107 │ 23 │ 34 │ 109 │ 0.363 │ 1.487 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 148 │ 0.012716638728482710513079112502 │ 23 │ 96 │ 100 │ 0.279 │ 4.373 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 48 │ 0.023474166507225082550780470569 │ 28 │ 182 │ 237 │ 0.363 │ 1.754 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 56 │ 0.010779110452620895357900288047 │ 23 │ 92 │ 74 │ 0.258 │ 2.164 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 204 │ 0.012717373101202031696055350096 │ 22 │ 91 │ 91 │ 0.326 │ 5.538 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 13 │ 0.013528433386812603947402244842 │ 23 │ 118 │ 94 │ 0.411 │ 0.864 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 191 │ 0.012491569013170210691865413821 │ 21 │ 77 │ 64 │ 0.221 │ 4.166 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 89 │ 138 │ 0.363 │ 0.764 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 16 │ 0.008889030710019398331955819970 │ 10 │ 160 │ 18 │ 0.363 │ 1.216 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 60 │ 0.019562886370738347824316250012 │ 32 │ 169 │ 250 │ 0.353 │ 1.641 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 83 │ 0.023447807233058726161800677801 │ 29 │ 88 │ 15 │ 0.363 │ 1.521 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 26 │ 96 │ 36 │ 0.384 │ 0.763 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 120 │ 0.020046138464022755787397045424 │ 29 │ 185 │ 93 │ 0.226 │ 2.273 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 23 │ 10 │ 0.363 │ 0.714 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 224 │ 0.017148417607547396940281814182 │ 31 │ 72 │ 115 │ 0.284 │ 4.900 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 62 │ 29 │ 0.363 │ 1.485 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 133 │ 0.043437927915202054207632897942 │ 31 │ 171 │ 171 │ 0.363 │ 2.483 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 58 │ 0.001000000000000000020816681712 │ 28 │ 90 │ 10 │ 0.363 │ 1.412 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 132 │ 0.016557459846981821549594116050 │ 30 │ 79 │ 16 │ 0.253 │ 3.238 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 122 │ 0.050000000000000002775557561563 │ 30 │ 169 │ 10 │ 0.363 │ 3.018 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 116 │ 0.001000000000000000020816681712 │ 29 │ 186 │ 10 │ 0.316 │ 3.042 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 137 │ 0.001000000000000000020816681712 │ 30 │ 172 │ 41 │ 0.342 │ 3.288 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 86 │ 0.050000000000000002775557561563 │ 29 │ 87 │ 186 │ 0.363 │ 2.761 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.050000000000000002775557561563 │ 29 │ 186 │ 11 │ 0.363 │ 2.584 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 26 │ 67 │ 10 │ 0.421 │ 0.644 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 93 │ 0.001000000000000000020816681712 │ 29 │ 87 │ 10 │ 0.511 │ 1.824 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 157 │ 0.031476710608913133215835955525 │ 30 │ 172 │ 46 │ 0.221 │ 2.870 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 150 │ 10 │ 0.363 │ 0.753 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 62 │ 0.050000000000000002775557561563 │ 28 │ 89 │ 10 │ 0.363 │ 1.572 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 228 │ 0.050000000000000002775557561563 │ 31 │ 74 │ 45 │ 0.253 │ 3.693 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 62 │ 0.024354375580071800644343937847 │ 27 │ 97 │ 95 │ 0.363 │ 1.430 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.017149285711075490379329266943 │ 12 │ 14 │ 129 │ 0.347 │ 0.941 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.028685409848040573782546047710 │ 26 │ 10 │ 10 │ 0.363 │ 1.558 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.023348845891819115100362935777 │ 12 │ 36 │ 10 │ 0.289 │ 1.737 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 152 │ 0.021278412796994605749034690234 │ 29 │ 115 │ 111 │ 0.279 │ 3.944 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 72 │ 0.024674582417528918149018934969 │ 27 │ 172 │ 112 │ 0.363 │ 1.948 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 150 │ 0.017651294055569016067108734092 │ 32 │ 200 │ 146 │ 0.216 │ 3.612 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 52 │ 0.011854711269056725231330062797 │ 11 │ 19 │ 20 │ 0.284 │ 2.596 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 113 │ 0.023156508498210597035704694235 │ 29 │ 99 │ 89 │ 0.363 │ 2.591 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 99 │ 0.015078150046465635392145543392 │ 13 │ 10 │ 54 │ 0.358 │ 3.012 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 31 │ 0.027261789306212220324043826736 │ 26 │ 182 │ 118 │ 0.258 │ 1.274 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.015841903998201505021636847914 │ 10 │ 10 │ 10 │ 0.363 │ 0.963 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.028851731090408856000850690293 │ 26 │ 98 │ 10 │ 0.363 │ 1.558 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 13 │ 75 │ 78 │ 0.232 │ 0.947 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 169 │ 0.017751023338965266767930373248 │ 30 │ 200 │ 146 │ 0.226 │ 3.702 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 91 │ 0.023627969609734653794186343134 │ 28 │ 184 │ 112 │ 0.363 │ 2.282 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 10 │ 173 │ 10 │ 0.363 │ 1.048 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 31 │ 0.012401364616224591977400315557 │ 12 │ 29 │ 60 │ 0.316 │ 1.668 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 32 │ 0.027051692162244365957857183957 │ 24 │ 10 │ 25 │ 0.363 │ 1.274 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 44 │ 0.020050887158898047374355755323 │ 12 │ 15 │ 67 │ 0.363 │ 2.077 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 10 │ 35 │ 200 │ 0.363 │ 1.193 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 9 │ 10 │ 68 │ 0.363 │ 1.210 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 131 │ 0.016430577921525350848508395529 │ 32 │ 200 │ 243 │ 0.363 │ 3.450 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.023491395760962211630706875098 │ 11 │ 189 │ 53 │ 0.263 │ 0.835 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 127 │ 0.020739689812058155482521470958 │ 32 │ 200 │ 10 │ 0.263 │ 2.244 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 6 │ 123 │ 20 │ 0.363 │ 1.459 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.047742087769211828673920905430 │ 12 │ 10 │ 82 │ 0.363 │ 1.176 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 163 │ 0.019883343943207357207292318435 │ 32 │ 190 │ 39 │ 0.242 │ 2.864 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 7 │ 10 │ 205 │ 0.363 │ 1.323 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 11 │ 0.025690124472306490738260364992 │ 26 │ 200 │ 171 │ 0.363 │ 0.856 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.036331881868051071893255254963 │ 11 │ 200 │ 65 │ 0.363 │ 1.315 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.016508750052996536833438412373 │ 18 │ 45 │ 244 │ 0.316 │ 0.817 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 89 │ 0.018097737580686480696190443496 │ 32 │ 200 │ 95 │ 0.221 │ 2.030 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 81 │ 0.019895470131600485885758899940 │ 27 │ 200 │ 28 │ 0.311 │ 2.289 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 30 │ 171 │ 250 │ 0.363 │ 0.987 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.032868720317230239180705808621 │ 11 │ 186 │ 194 │ 0.363 │ 1.234 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 164 │ 0.019772492006517743828863942213 │ 32 │ 193 │ 249 │ 0.363 │ 4.136 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 11 │ 10 │ 10 │ 0.363 │ 0.891 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.039495251684349801102325017155 │ 9 │ 16 │ 39 │ 0.363 │ 0.927 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 12 │ 44 │ 196 │ 0.363 │ 0.917 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 60 │ 0.018724751264986998905426318629 │ 15 │ 200 │ 63 │ 0.363 │ 1.962 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 46 │ 0.019636691654782476024188042629 │ 27 │ 175 │ 51 │ 0.358 │ 1.165 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 17 │ 0.019311192589743574749006072011 │ 11 │ 200 │ 33 │ 0.268 │ 1.134 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.020289979453341152465517538417 │ 27 │ 189 │ 19 │ 0.363 │ 0.685 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 119 │ 0.016795952194704633769761770168 │ 16 │ 199 │ 39 │ 0.363 │ 3.185 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 139 │ 0.015593483628587537920262562352 │ 32 │ 174 │ 109 │ 0.279 │ 4.689 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 61 │ 0.019681443920676906095268421382 │ 29 │ 185 │ 22 │ 0.363 │ 1.325 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 164 │ 0.014750580257019483068625653743 │ 31 │ 200 │ 112 │ 0.289 │ 3.341 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 150 │ 0.013271199492865393479434921176 │ 32 │ 26 │ 78 │ 0.358 │ 2.897 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 112 │ 0.016946338379426009734807223595 │ 30 │ 141 │ 80 │ 0.237 │ 4.237 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 117 │ 0.017276877354457587793179484947 │ 15 │ 190 │ 119 │ 0.363 │ 4.762 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 78 │ 0.018491653530324711485199884464 │ 29 │ 189 │ 75 │ 0.263 │ 1.701 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.018294870581433541473215242945 │ 27 │ 10 │ 10 │ 0.316 │ 0.681 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 87 │ 0.018009016610147532411190240964 │ 15 │ 194 │ 96 │ 0.363 │ 2.650 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.026468545962785056113730774996 │ 26 │ 33 │ 205 │ 0.363 │ 2.620 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 62 │ 0.018737899561467409592641075733 │ 27 │ 189 │ 79 │ 0.226 │ 1.478 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 118 │ 0.016263889479824576028699212316 │ 31 │ 196 │ 94 │ 0.247 │ 2.498 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.020937476558996102882215240015 │ 14 │ 200 │ 71 │ 0.263 │ 0.921 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 104 │ 0.017876628784726584370234903076 │ 30 │ 198 │ 97 │ 0.221 │ 2.667 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 20 │ 0.025707450850959490118441408413 │ 9 │ 200 │ 10 │ 0.363 │ 1.400 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 17 │ 0.025787306336975738402239599623 │ 14 │ 92 │ 27 │ 0.326 │ 0.971 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 18 │ 0.001061252332202752010972823804 │ 13 │ 56 │ 20 │ 0.395 │ 1.126 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 16 │ 0.015643732248158407488469734403 │ 16 │ 78 │ 17 │ 0.363 │ 0.948 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.040883604531681543015064761448 │ 16 │ 86 │ 10 │ 0.363 │ 0.922 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 11 │ 64 │ 169 │ 0.479 │ 1.112 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 77 │ 0.019519912345667311120989140250 │ 16 │ 87 │ 11 │ 0.363 │ 2.552 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 22 │ 0.007082595292686641973156635999 │ 12 │ 76 │ 49 │ 0.300 │ 1.232 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.027454839342000453977776786019 │ 14 │ 89 │ 114 │ 0.289 │ 0.944 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 8 │ 18 │ 250 │ 0.579 │ 1.191 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 39 │ 0.001000000000000000020816681712 │ 10 │ 84 │ 14 │ 0.363 │ 2.132 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.022553174550773283368876320765 │ 32 │ 200 │ 119 │ 0.358 │ 0.715 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 37 │ 0.017935924083963161734800451086 │ 15 │ 88 │ 92 │ 0.200 │ 1.807 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.034417014208366215888279526780 │ 15 │ 82 │ 49 │ 0.295 │ 0.805 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 14 │ 92 │ 12 │ 0.363 │ 1.025 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.024547582277012529317072875301 │ 12 │ 87 │ 21 │ 0.337 │ 1.009 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 15 │ 91 │ 35 │ 0.358 │ 1.024 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 17 │ 0.021659113665713748686503237195 │ 14 │ 88 │ 245 │ 0.347 │ 1.098 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 94 │ 0.003435905871596365342840462276 │ 17 │ 51 │ 72 │ 0.311 │ 2.503 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 93 │ 0.027617420239104382290173944625 │ 20 │ 74 │ 17 │ 0.363 │ 2.418 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 26 │ 0.001000000000000000020816681712 │ 15 │ 55 │ 114 │ 0.405 │ 1.353 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.029956690706734758616880398563 │ 14 │ 10 │ 250 │ 0.363 │ 0.969 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.017768889785998810693090632640 │ 13 │ 168 │ 131 │ 0.363 │ 0.990 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 136 │ 0.022891151804476480430272644639 │ 32 │ 200 │ 60 │ 0.363 │ 2.701 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.019491423888968992944592528715 │ 11 │ 159 │ 91 │ 0.358 │ 1.178 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.027740755800228958372066756510 │ 11 │ 29 │ 170 │ 0.363 │ 1.145 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 70 │ 0.018204764014890701534499228842 │ 32 │ 192 │ 86 │ 0.232 │ 1.523 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 155 │ 0.021615488247461796256221333579 │ 32 │ 195 │ 88 │ 0.221 │ 3.007 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 18 │ 200 │ 190 │ 0.363 │ 0.770 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 118 │ 0.021650372598104844490407572266 │ 32 │ 200 │ 111 │ 0.242 │ 2.438 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 16 │ 0.022905034736391358812790386423 │ 17 │ 10 │ 76 │ 0.316 │ 0.925 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.019452611616455721399443490327 │ 14 │ 127 │ 78 │ 0.332 │ 0.992 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 11 │ 178 │ 158 │ 0.358 │ 0.911 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.025617803595761497181815258273 │ 11 │ 152 │ 172 │ 0.363 │ 1.033 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.038253316782336413415244180669 │ 18 │ 176 │ 234 │ 0.363 │ 0.941 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.018765202179245779601224342059 │ 8 │ 166 │ 64 │ 0.326 │ 1.165 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.011338744144401469507443813711 │ 32 │ 200 │ 92 │ 0.353 │ 0.682 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 24 │ 0.050000000000000002775557561563 │ 16 │ 177 │ 104 │ 0.363 │ 1.300 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 56 │ 0.017009371969744415536984760706 │ 32 │ 200 │ 50 │ 0.411 │ 1.409 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.026946790375043955939604600758 │ 16 │ 177 │ 207 │ 0.358 │ 0.947 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 80 │ 0.018585536349393860788836718712 │ 32 │ 198 │ 99 │ 0.237 │ 1.913 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 106 │ 0.017623223741117320650939603865 │ 32 │ 159 │ 120 │ 0.274 │ 2.348 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 64 │ 0.019900518974559466833795795537 │ 31 │ 163 │ 125 │ 0.247 │ 1.556 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 42 │ 0.021468095111901893540240493508 │ 31 │ 192 │ 120 │ 0.247 │ 1.423 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 56 │ 0.022216501608706012288463327309 │ 32 │ 188 │ 128 │ 0.363 │ 1.423 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 84 │ 0.019325771645218269706445468614 │ 30 │ 200 │ 131 │ 0.295 │ 2.095 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 127 │ 0.016933899515932767515513646117 │ 32 │ 194 │ 105 │ 0.337 │ 2.671 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 14 │ 0.022928269519312705071456548467 │ 30 │ 14 │ 104 │ 0.332 │ 0.890 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 144 │ 0.016127340832510127233145880155 │ 32 │ 192 │ 110 │ 0.242 │ 2.793 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.021734366415389429205706761650 │ 30 │ 200 │ 56 │ 0.442 │ 0.802 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.020691500205523242345018175570 │ 18 │ 90 │ 35 │ 0.363 │ 1.847 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.023843443728795186281610440915 │ 9 │ 11 │ 68 │ 0.353 │ 1.085 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 51 │ 0.019040889204281971625043468066 │ 30 │ 200 │ 98 │ 0.347 │ 1.439 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 135 │ 0.020475371830564852160261324343 │ 32 │ 200 │ 113 │ 0.363 │ 2.814 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 110 │ 0.017291205682982757618759706020 │ 32 │ 200 │ 113 │ 0.321 │ 2.328 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.019895452748393424591277778291 │ 11 │ 10 │ 53 │ 0.358 │ 0.934 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 171 │ 0.018585681196428387174091056977 │ 32 │ 198 │ 101 │ 0.363 │ 3.312 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 95 │ 0.018159283779773851413841256885 │ 32 │ 200 │ 131 │ 0.363 │ 2.001 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 102 │ 0.016068808732370855330007231032 │ 28 │ 200 │ 126 │ 0.226 │ 2.207 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 73 │ 0.018146645925216375178079530883 │ 32 │ 187 │ 146 │ 0.284 │ 1.644 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 32 │ 183 │ 133 │ 0.363 │ 0.706 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.019898438983747410851998793646 │ 31 │ 200 │ 95 │ 0.300 │ 1.193 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 94 │ 0.017641194053718795703433741551 │ 32 │ 12 │ 98 │ 0.300 │ 1.923 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 121 │ 0.016332392286982064244504897488 │ 32 │ 21 │ 115 │ 0.321 │ 2.401 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 51 │ 0.019481671995773039429700190794 │ 30 │ 47 │ 79 │ 0.321 │ 1.369 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.022170258518334942654526287242 │ 30 │ 10 │ 136 │ 0.363 │ 1.072 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 139 │ 0.016550753854827963268414592335 │ 32 │ 10 │ 103 │ 0.363 │ 2.341 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 165 │ 0.012286853000221597403962547901 │ 32 │ 54 │ 121 │ 0.279 │ 2.605 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.019655361788151338997554518073 │ 32 │ 200 │ 33 │ 0.363 │ 0.975 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 180 │ 0.012009140475680819132309196107 │ 32 │ 111 │ 115 │ 0.232 │ 3.009 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.039909870793623208884426389886 │ 32 │ 26 │ 223 │ 0.363 │ 0.935 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.020554779394848385343230745548 │ 29 │ 200 │ 68 │ 0.237 │ 0.951 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.021202054519270433635691475160 │ 32 │ 33 │ 82 │ 0.311 │ 0.940 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 163 │ 0.011895236203000245089889119754 │ 32 │ 200 │ 129 │ 0.300 │ 3.050 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 186 │ 0.013970129678911275689090487617 │ 32 │ 23 │ 52 │ 0.216 │ 2.733 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.035468834406224364341753130248 │ 32 │ 10 │ 10 │ 0.242 │ 0.899 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 214 │ 0.009471266118845364859191171547 │ 32 │ 10 │ 79 │ 0.363 │ 3.092 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 74 │ 0.020068303733707670150065993653 │ 32 │ 13 │ 92 │ 0.358 │ 1.478 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.038873360982417670683730648307 │ 31 │ 200 │ 10 │ 0.363 │ 1.084 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.045672639691522715077454108723 │ 31 │ 10 │ 10 │ 0.321 │ 0.875 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 17 │ 200 │ 250 │ 0.363 │ 1.268 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.020381871069787949046769881534 │ 30 │ 109 │ 33 │ 0.363 │ 0.926 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 108 │ 0.036171952772273779919132152827 │ 32 │ 11 │ 20 │ 0.358 │ 1.761 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 33 │ 0.025769899647995413161094546695 │ 32 │ 79 │ 93 │ 0.363 │ 1.006 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 32 │ 10 │ 93 │ 0.363 │ 0.877 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 41 │ 0.017904379589092085656165664886 │ 32 │ 172 │ 99 │ 0.326 │ 1.163 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.020736385834958737106603621214 │ 32 │ 29 │ 20 │ 0.337 │ 0.908 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 143 │ 0.016495326861486307029602826901 │ 32 │ 109 │ 117 │ 0.326 │ 2.557 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.050000000000000002775557561563 │ 32 │ 10 │ 10 │ 0.363 │ 1.760 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.022998537805818172058414106118 │ 32 │ 156 │ 101 │ 0.242 │ 0.984 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 74 │ 0.017863615331536027153180867799 │ 32 │ 199 │ 85 │ 0.347 │ 1.608 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 103 │ 0.016004014710583526481801897035 │ 32 │ 165 │ 96 │ 0.253 │ 1.935 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 19 │ 10 │ 10 │ 0.374 │ 1.096 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 182 │ 0.016032462899243402759674737013 │ 32 │ 90 │ 100 │ 0.268 │ 2.996 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 189 │ 0.035684805429075858174137181322 │ 32 │ 19 │ 10 │ 0.353 │ 2.704 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 99 │ 0.020581595071857222700728584641 │ 32 │ 197 │ 100 │ 0.363 │ 2.010 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 51 │ 0.031778873024982140504945959947 │ 32 │ 136 │ 113 │ 0.363 │ 1.302 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 187 │ 0.013309925887217174955701182171 │ 32 │ 173 │ 125 │ 0.247 │ 3.618 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 83 │ 0.014318799402811442297855926142 │ 32 │ 200 │ 56 │ 0.368 │ 1.629 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 61 │ 0.016640736066235142093239218752 │ 32 │ 170 │ 102 │ 0.337 │ 1.457 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 210 │ 0.013547929742508291184321933542 │ 32 │ 35 │ 110 │ 0.237 │ 3.182 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 219 │ 0.012160325544900416061544490276 │ 32 │ 42 │ 146 │ 0.200 │ 3.276 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 207 │ 0.050000000000000002775557561563 │ 32 │ 10 │ 145 │ 0.363 │ 3.119 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 106 │ 0.016348164552907020613536914766 │ 32 │ 13 │ 106 │ 0.358 │ 1.860 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 205 │ 0.008256047717776932373667797549 │ 32 │ 28 │ 123 │ 0.263 │ 3.070 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 188 │ 0.012487917716030479120536966775 │ 32 │ 18 │ 130 │ 0.205 │ 2.812 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 211 │ 0.011965517785828386904123377121 │ 32 │ 190 │ 151 │ 0.337 │ 3.868 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 233 │ 0.007758253860415229193059349910 │ 32 │ 10 │ 188 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 32 │ 81 │ 10 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 292 │ 0.001000000000000000020816681712 │ 32 │ 10 │ 56 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 200 │ 0.001000000000000000020816681712 │ 32 │ 10 │ 250 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 153 │ 0.015233330753900620538332510989 │ 32 │ 18 │ 109 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 203 │ 0.011154254297643094798186957917 │ 32 │ 24 │ 166 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.030113015593171338357691979581 │ 32 │ 196 │ 75 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 48 │ 0.020468740002209162565094402453 │ 32 │ 199 │ 113 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 58 │ 0.019498918323747917863419942819 │ 32 │ 28 │ 105 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 170 │ 0.014493020193629141054159070734 │ 32 │ 20 │ 111 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 208 │ 0.010925409707129690381477438166 │ 32 │ 153 │ 102 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 204 │ 0.001000000000000000020816681712 │ 32 │ 10 │ 84 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 105 │ 0.015911362509449564206498450858 │ 32 │ 199 │ 97 │ │ │
└────────┴──────────────────────────────────┴─────┴─────┴─────┴────────┴────────┘
Pareto-Front for RESULT/TIME:
┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━┳━━━━━┳━━━━━┳━━━━━━━━┳━━━━━━━━┓
┃ epochs ┃ lr ┃ bsz ┃ da ┃ db ┃ RESULT ┃ TIME ┃
┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━╇━━━━━╇━━━━━╇━━━━━━━━╇━━━━━━━━┩
│ 345 │ 0.025903163433074954252743893335 │ 8 │ 200 │ 66 │ 0.363 │ 15.333 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 174 │ 0.005775359461084008522169241928 │ 22 │ 32 │ 143 │ 0.279 │ 3.453 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 76 │ 0.039912726011127233616271325900 │ 13 │ 141 │ 207 │ 0.363 │ 2.843 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 252 │ 0.016627478961832822812461074591 │ 27 │ 70 │ 103 │ 0.189 │ 4.014 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 203 │ 0.048174699342809622348848819229 │ 20 │ 95 │ 73 │ 0.363 │ 4.144 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 41 │ 0.021791052578017118535047558225 │ 5 │ 119 │ 237 │ 0.363 │ 3.619 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 136 │ 0.037583327449858192070841766963 │ 32 │ 55 │ 173 │ 0.363 │ 2.234 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 299 │ 0.008232147173024714770228627003 │ 17 │ 174 │ 36 │ 0.363 │ 5.951 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 286 │ 0.042725006626918915486612604582 │ 29 │ 108 │ 148 │ 0.363 │ 4.469 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.013839340071193875769672843035 │ 15 │ 83 │ 41 │ 0.216 │ 2.936 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 11 │ 0.028689818051643670854256029656 │ 20 │ 162 │ 130 │ 0.363 │ 0.812 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 189 │ 0.002964608523994684101399155196 │ 6 │ 44 │ 203 │ 0.258 │ 11.251 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 227 │ 0.034221261506900191307067871094 │ 12 │ 21 │ 234 │ 0.363 │ 7.093 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 57 │ 0.011618355571292340172595558556 │ 27 │ 188 │ 100 │ 0.305 │ 1.521 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 156 │ 0.044789998718537393784799860441 │ 10 │ 58 │ 10 │ 0.363 │ 5.514 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 322 │ 0.025151657477021218539681157722 │ 25 │ 129 │ 178 │ 0.363 │ 6.026 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 316 │ 0.045495020604692404386781845460 │ 15 │ 51 │ 114 │ 0.363 │ 8.130 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 141 │ 0.022939498839899898768868169441 │ 31 │ 169 │ 218 │ 0.200 │ 2.615 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 68 │ 0.031841154552996159265987330400 │ 6 │ 99 │ 132 │ 0.358 │ 4.545 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 239 │ 0.012443099276162685601354596088 │ 22 │ 124 │ 55 │ 0.205 │ 4.443 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 171 │ 0.017680302696069641332776711806 │ 31 │ 44 │ 29 │ 0.253 │ 2.417 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 24 │ 35 │ 50 │ 0.353 │ 0.663 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 131 │ 0.018402747019806164202604392699 │ 28 │ 34 │ 16 │ 0.284 │ 1.976 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 23 │ 10 │ 10 │ 0.395 │ 0.664 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 191 │ 0.017722426557444638517413437739 │ 32 │ 119 │ 10 │ 0.363 │ 2.742 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 73 │ 0.017384452471897099412601050972 │ 23 │ 154 │ 30 │ 0.363 │ 1.709 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 183 │ 0.017354746874606953588315860770 │ 32 │ 53 │ 225 │ 0.363 │ 2.860 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 13 │ 0.016318239907910200153784430199 │ 24 │ 49 │ 26 │ 0.347 │ 0.724 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 176 │ 0.017374392637534426947487631310 │ 27 │ 151 │ 142 │ 0.237 │ 3.250 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 97 │ 0.017648466175000005612405473698 │ 28 │ 14 │ 249 │ 0.363 │ 1.780 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 24 │ 10 │ 250 │ 0.358 │ 0.675 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 21 │ 0.001000000000000000020816681712 │ 23 │ 173 │ 141 │ 0.447 │ 0.924 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.017458514342450669881712244091 │ 32 │ 10 │ 10 │ 0.321 │ 1.674 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 24 │ 184 │ 192 │ 0.358 │ 0.692 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 126 │ 0.017824454907680968573924218390 │ 25 │ 200 │ 52 │ 0.363 │ 2.368 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 173 │ 0.017825463561557716718475319340 │ 18 │ 159 │ 30 │ 0.363 │ 3.953 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 22 │ 136 │ 244 │ 0.484 │ 1.974 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 52 │ 0.017313736657032716137472050377 │ 32 │ 12 │ 54 │ 0.368 │ 2.266 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 181 │ 0.017984054831182705314063241531 │ 32 │ 10 │ 123 │ 0.358 │ 3.734 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 14 │ 0.040229099643559626531263972993 │ 22 │ 200 │ 10 │ 0.363 │ 1.974 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 73 │ 0.012487944883151046171487763559 │ 23 │ 104 │ 102 │ 0.363 │ 1.776 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 188 │ 0.012609635738604459825884518409 │ 25 │ 87 │ 79 │ 0.305 │ 3.437 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 18 │ 0.011708715093221846656468265735 │ 23 │ 77 │ 128 │ 0.368 │ 1.122 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.041794599755004151198090056596 │ 24 │ 10 │ 130 │ 0.363 │ 0.767 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 19 │ 0.020510765699027065644965972524 │ 25 │ 182 │ 194 │ 0.363 │ 1.019 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 117 │ 0.012187045098319892674765263507 │ 23 │ 92 │ 82 │ 0.242 │ 3.619 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 34 │ 0.011828131868103237273048833345 │ 24 │ 87 │ 89 │ 0.316 │ 1.064 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 95 │ 0.020062690100526369557654149389 │ 28 │ 186 │ 204 │ 0.216 │ 2.547 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 14 │ 0.050000000000000002775557561563 │ 24 │ 36 │ 156 │ 0.363 │ 1.058 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 109 │ 0.023003483708627779635857990570 │ 32 │ 196 │ 237 │ 0.363 │ 2.705 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.030294553668301638094106920107 │ 23 │ 34 │ 109 │ 0.363 │ 1.487 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 148 │ 0.012716638728482710513079112502 │ 23 │ 96 │ 100 │ 0.279 │ 4.373 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 48 │ 0.023474166507225082550780470569 │ 28 │ 182 │ 237 │ 0.363 │ 1.754 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 56 │ 0.010779110452620895357900288047 │ 23 │ 92 │ 74 │ 0.258 │ 2.164 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 204 │ 0.012717373101202031696055350096 │ 22 │ 91 │ 91 │ 0.326 │ 5.538 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 13 │ 0.013528433386812603947402244842 │ 23 │ 118 │ 94 │ 0.411 │ 0.864 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 191 │ 0.012491569013170210691865413821 │ 21 │ 77 │ 64 │ 0.221 │ 4.166 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 89 │ 138 │ 0.363 │ 0.764 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 16 │ 0.008889030710019398331955819970 │ 10 │ 160 │ 18 │ 0.363 │ 1.216 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 60 │ 0.019562886370738347824316250012 │ 32 │ 169 │ 250 │ 0.353 │ 1.641 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 83 │ 0.023447807233058726161800677801 │ 29 │ 88 │ 15 │ 0.363 │ 1.521 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 26 │ 96 │ 36 │ 0.384 │ 0.763 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 120 │ 0.020046138464022755787397045424 │ 29 │ 185 │ 93 │ 0.226 │ 2.273 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 23 │ 10 │ 0.363 │ 0.714 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 224 │ 0.017148417607547396940281814182 │ 31 │ 72 │ 115 │ 0.284 │ 4.900 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 62 │ 29 │ 0.363 │ 1.485 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 133 │ 0.043437927915202054207632897942 │ 31 │ 171 │ 171 │ 0.363 │ 2.483 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 58 │ 0.001000000000000000020816681712 │ 28 │ 90 │ 10 │ 0.363 │ 1.412 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 132 │ 0.016557459846981821549594116050 │ 30 │ 79 │ 16 │ 0.253 │ 3.238 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 122 │ 0.050000000000000002775557561563 │ 30 │ 169 │ 10 │ 0.363 │ 3.018 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 116 │ 0.001000000000000000020816681712 │ 29 │ 186 │ 10 │ 0.316 │ 3.042 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 137 │ 0.001000000000000000020816681712 │ 30 │ 172 │ 41 │ 0.342 │ 3.288 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 86 │ 0.050000000000000002775557561563 │ 29 │ 87 │ 186 │ 0.363 │ 2.761 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.050000000000000002775557561563 │ 29 │ 186 │ 11 │ 0.363 │ 2.584 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 26 │ 67 │ 10 │ 0.421 │ 0.644 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 93 │ 0.001000000000000000020816681712 │ 29 │ 87 │ 10 │ 0.511 │ 1.824 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 157 │ 0.031476710608913133215835955525 │ 30 │ 172 │ 46 │ 0.221 │ 2.870 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 150 │ 10 │ 0.363 │ 0.753 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 62 │ 0.050000000000000002775557561563 │ 28 │ 89 │ 10 │ 0.363 │ 1.572 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 228 │ 0.050000000000000002775557561563 │ 31 │ 74 │ 45 │ 0.253 │ 3.693 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 62 │ 0.024354375580071800644343937847 │ 27 │ 97 │ 95 │ 0.363 │ 1.430 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.017149285711075490379329266943 │ 12 │ 14 │ 129 │ 0.347 │ 0.941 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.028685409848040573782546047710 │ 26 │ 10 │ 10 │ 0.363 │ 1.558 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.023348845891819115100362935777 │ 12 │ 36 │ 10 │ 0.289 │ 1.737 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 152 │ 0.021278412796994605749034690234 │ 29 │ 115 │ 111 │ 0.279 │ 3.944 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 72 │ 0.024674582417528918149018934969 │ 27 │ 172 │ 112 │ 0.363 │ 1.948 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 150 │ 0.017651294055569016067108734092 │ 32 │ 200 │ 146 │ 0.216 │ 3.612 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 52 │ 0.011854711269056725231330062797 │ 11 │ 19 │ 20 │ 0.284 │ 2.596 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 113 │ 0.023156508498210597035704694235 │ 29 │ 99 │ 89 │ 0.363 │ 2.591 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 99 │ 0.015078150046465635392145543392 │ 13 │ 10 │ 54 │ 0.358 │ 3.012 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 31 │ 0.027261789306212220324043826736 │ 26 │ 182 │ 118 │ 0.258 │ 1.274 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.015841903998201505021636847914 │ 10 │ 10 │ 10 │ 0.363 │ 0.963 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.028851731090408856000850690293 │ 26 │ 98 │ 10 │ 0.363 │ 1.558 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 13 │ 75 │ 78 │ 0.232 │ 0.947 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 169 │ 0.017751023338965266767930373248 │ 30 │ 200 │ 146 │ 0.226 │ 3.702 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 91 │ 0.023627969609734653794186343134 │ 28 │ 184 │ 112 │ 0.363 │ 2.282 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 10 │ 173 │ 10 │ 0.363 │ 1.048 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 31 │ 0.012401364616224591977400315557 │ 12 │ 29 │ 60 │ 0.316 │ 1.668 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 32 │ 0.027051692162244365957857183957 │ 24 │ 10 │ 25 │ 0.363 │ 1.274 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 44 │ 0.020050887158898047374355755323 │ 12 │ 15 │ 67 │ 0.363 │ 2.077 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 10 │ 35 │ 200 │ 0.363 │ 1.193 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 9 │ 10 │ 68 │ 0.363 │ 1.210 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 131 │ 0.016430577921525350848508395529 │ 32 │ 200 │ 243 │ 0.363 │ 3.450 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.023491395760962211630706875098 │ 11 │ 189 │ 53 │ 0.263 │ 0.835 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 127 │ 0.020739689812058155482521470958 │ 32 │ 200 │ 10 │ 0.263 │ 2.244 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 6 │ 123 │ 20 │ 0.363 │ 1.459 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.047742087769211828673920905430 │ 12 │ 10 │ 82 │ 0.363 │ 1.176 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 163 │ 0.019883343943207357207292318435 │ 32 │ 190 │ 39 │ 0.242 │ 2.864 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 7 │ 10 │ 205 │ 0.363 │ 1.323 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 11 │ 0.025690124472306490738260364992 │ 26 │ 200 │ 171 │ 0.363 │ 0.856 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.036331881868051071893255254963 │ 11 │ 200 │ 65 │ 0.363 │ 1.315 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.016508750052996536833438412373 │ 18 │ 45 │ 244 │ 0.316 │ 0.817 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 89 │ 0.018097737580686480696190443496 │ 32 │ 200 │ 95 │ 0.221 │ 2.030 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 81 │ 0.019895470131600485885758899940 │ 27 │ 200 │ 28 │ 0.311 │ 2.289 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 30 │ 171 │ 250 │ 0.363 │ 0.987 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.032868720317230239180705808621 │ 11 │ 186 │ 194 │ 0.363 │ 1.234 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 164 │ 0.019772492006517743828863942213 │ 32 │ 193 │ 249 │ 0.363 │ 4.136 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 11 │ 10 │ 10 │ 0.363 │ 0.891 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.039495251684349801102325017155 │ 9 │ 16 │ 39 │ 0.363 │ 0.927 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 12 │ 44 │ 196 │ 0.363 │ 0.917 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 60 │ 0.018724751264986998905426318629 │ 15 │ 200 │ 63 │ 0.363 │ 1.962 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 46 │ 0.019636691654782476024188042629 │ 27 │ 175 │ 51 │ 0.358 │ 1.165 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 17 │ 0.019311192589743574749006072011 │ 11 │ 200 │ 33 │ 0.268 │ 1.134 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.020289979453341152465517538417 │ 27 │ 189 │ 19 │ 0.363 │ 0.685 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 119 │ 0.016795952194704633769761770168 │ 16 │ 199 │ 39 │ 0.363 │ 3.185 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 139 │ 0.015593483628587537920262562352 │ 32 │ 174 │ 109 │ 0.279 │ 4.689 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 61 │ 0.019681443920676906095268421382 │ 29 │ 185 │ 22 │ 0.363 │ 1.325 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 164 │ 0.014750580257019483068625653743 │ 31 │ 200 │ 112 │ 0.289 │ 3.341 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 150 │ 0.013271199492865393479434921176 │ 32 │ 26 │ 78 │ 0.358 │ 2.897 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 112 │ 0.016946338379426009734807223595 │ 30 │ 141 │ 80 │ 0.237 │ 4.237 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 117 │ 0.017276877354457587793179484947 │ 15 │ 190 │ 119 │ 0.363 │ 4.762 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 78 │ 0.018491653530324711485199884464 │ 29 │ 189 │ 75 │ 0.263 │ 1.701 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.018294870581433541473215242945 │ 27 │ 10 │ 10 │ 0.316 │ 0.681 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 87 │ 0.018009016610147532411190240964 │ 15 │ 194 │ 96 │ 0.363 │ 2.650 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.026468545962785056113730774996 │ 26 │ 33 │ 205 │ 0.363 │ 2.620 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 62 │ 0.018737899561467409592641075733 │ 27 │ 189 │ 79 │ 0.226 │ 1.478 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 118 │ 0.016263889479824576028699212316 │ 31 │ 196 │ 94 │ 0.247 │ 2.498 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.020937476558996102882215240015 │ 14 │ 200 │ 71 │ 0.263 │ 0.921 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 104 │ 0.017876628784726584370234903076 │ 30 │ 198 │ 97 │ 0.221 │ 2.667 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 20 │ 0.025707450850959490118441408413 │ 9 │ 200 │ 10 │ 0.363 │ 1.400 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 17 │ 0.025787306336975738402239599623 │ 14 │ 92 │ 27 │ 0.326 │ 0.971 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 18 │ 0.001061252332202752010972823804 │ 13 │ 56 │ 20 │ 0.395 │ 1.126 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 16 │ 0.015643732248158407488469734403 │ 16 │ 78 │ 17 │ 0.363 │ 0.948 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.040883604531681543015064761448 │ 16 │ 86 │ 10 │ 0.363 │ 0.922 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 11 │ 64 │ 169 │ 0.479 │ 1.112 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 77 │ 0.019519912345667311120989140250 │ 16 │ 87 │ 11 │ 0.363 │ 2.552 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 22 │ 0.007082595292686641973156635999 │ 12 │ 76 │ 49 │ 0.300 │ 1.232 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.027454839342000453977776786019 │ 14 │ 89 │ 114 │ 0.289 │ 0.944 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 8 │ 18 │ 250 │ 0.579 │ 1.191 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 39 │ 0.001000000000000000020816681712 │ 10 │ 84 │ 14 │ 0.363 │ 2.132 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.022553174550773283368876320765 │ 32 │ 200 │ 119 │ 0.358 │ 0.715 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 37 │ 0.017935924083963161734800451086 │ 15 │ 88 │ 92 │ 0.200 │ 1.807 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.034417014208366215888279526780 │ 15 │ 82 │ 49 │ 0.295 │ 0.805 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 14 │ 92 │ 12 │ 0.363 │ 1.025 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.024547582277012529317072875301 │ 12 │ 87 │ 21 │ 0.337 │ 1.009 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 15 │ 91 │ 35 │ 0.358 │ 1.024 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 17 │ 0.021659113665713748686503237195 │ 14 │ 88 │ 245 │ 0.347 │ 1.098 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 94 │ 0.003435905871596365342840462276 │ 17 │ 51 │ 72 │ 0.311 │ 2.503 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 93 │ 0.027617420239104382290173944625 │ 20 │ 74 │ 17 │ 0.363 │ 2.418 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 26 │ 0.001000000000000000020816681712 │ 15 │ 55 │ 114 │ 0.405 │ 1.353 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.029956690706734758616880398563 │ 14 │ 10 │ 250 │ 0.363 │ 0.969 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.017768889785998810693090632640 │ 13 │ 168 │ 131 │ 0.363 │ 0.990 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 136 │ 0.022891151804476480430272644639 │ 32 │ 200 │ 60 │ 0.363 │ 2.701 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.019491423888968992944592528715 │ 11 │ 159 │ 91 │ 0.358 │ 1.178 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.027740755800228958372066756510 │ 11 │ 29 │ 170 │ 0.363 │ 1.145 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 70 │ 0.018204764014890701534499228842 │ 32 │ 192 │ 86 │ 0.232 │ 1.523 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 155 │ 0.021615488247461796256221333579 │ 32 │ 195 │ 88 │ 0.221 │ 3.007 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 18 │ 200 │ 190 │ 0.363 │ 0.770 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 118 │ 0.021650372598104844490407572266 │ 32 │ 200 │ 111 │ 0.242 │ 2.438 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 16 │ 0.022905034736391358812790386423 │ 17 │ 10 │ 76 │ 0.316 │ 0.925 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.019452611616455721399443490327 │ 14 │ 127 │ 78 │ 0.332 │ 0.992 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 11 │ 178 │ 158 │ 0.358 │ 0.911 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.025617803595761497181815258273 │ 11 │ 152 │ 172 │ 0.363 │ 1.033 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.038253316782336413415244180669 │ 18 │ 176 │ 234 │ 0.363 │ 0.941 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.018765202179245779601224342059 │ 8 │ 166 │ 64 │ 0.326 │ 1.165 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.011338744144401469507443813711 │ 32 │ 200 │ 92 │ 0.353 │ 0.682 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 24 │ 0.050000000000000002775557561563 │ 16 │ 177 │ 104 │ 0.363 │ 1.300 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 56 │ 0.017009371969744415536984760706 │ 32 │ 200 │ 50 │ 0.411 │ 1.409 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.026946790375043955939604600758 │ 16 │ 177 │ 207 │ 0.358 │ 0.947 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 80 │ 0.018585536349393860788836718712 │ 32 │ 198 │ 99 │ 0.237 │ 1.913 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 106 │ 0.017623223741117320650939603865 │ 32 │ 159 │ 120 │ 0.274 │ 2.348 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 64 │ 0.019900518974559466833795795537 │ 31 │ 163 │ 125 │ 0.247 │ 1.556 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 42 │ 0.021468095111901893540240493508 │ 31 │ 192 │ 120 │ 0.247 │ 1.423 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 56 │ 0.022216501608706012288463327309 │ 32 │ 188 │ 128 │ 0.363 │ 1.423 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 84 │ 0.019325771645218269706445468614 │ 30 │ 200 │ 131 │ 0.295 │ 2.095 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 127 │ 0.016933899515932767515513646117 │ 32 │ 194 │ 105 │ 0.337 │ 2.671 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 14 │ 0.022928269519312705071456548467 │ 30 │ 14 │ 104 │ 0.332 │ 0.890 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 144 │ 0.016127340832510127233145880155 │ 32 │ 192 │ 110 │ 0.242 │ 2.793 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.021734366415389429205706761650 │ 30 │ 200 │ 56 │ 0.442 │ 0.802 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.020691500205523242345018175570 │ 18 │ 90 │ 35 │ 0.363 │ 1.847 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.023843443728795186281610440915 │ 9 │ 11 │ 68 │ 0.353 │ 1.085 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 51 │ 0.019040889204281971625043468066 │ 30 │ 200 │ 98 │ 0.347 │ 1.439 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 135 │ 0.020475371830564852160261324343 │ 32 │ 200 │ 113 │ 0.363 │ 2.814 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 110 │ 0.017291205682982757618759706020 │ 32 │ 200 │ 113 │ 0.321 │ 2.328 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.019895452748393424591277778291 │ 11 │ 10 │ 53 │ 0.358 │ 0.934 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 171 │ 0.018585681196428387174091056977 │ 32 │ 198 │ 101 │ 0.363 │ 3.312 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 95 │ 0.018159283779773851413841256885 │ 32 │ 200 │ 131 │ 0.363 │ 2.001 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 102 │ 0.016068808732370855330007231032 │ 28 │ 200 │ 126 │ 0.226 │ 2.207 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 73 │ 0.018146645925216375178079530883 │ 32 │ 187 │ 146 │ 0.284 │ 1.644 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 32 │ 183 │ 133 │ 0.363 │ 0.706 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.019898438983747410851998793646 │ 31 │ 200 │ 95 │ 0.300 │ 1.193 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 94 │ 0.017641194053718795703433741551 │ 32 │ 12 │ 98 │ 0.300 │ 1.923 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 121 │ 0.016332392286982064244504897488 │ 32 │ 21 │ 115 │ 0.321 │ 2.401 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 51 │ 0.019481671995773039429700190794 │ 30 │ 47 │ 79 │ 0.321 │ 1.369 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.022170258518334942654526287242 │ 30 │ 10 │ 136 │ 0.363 │ 1.072 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 139 │ 0.016550753854827963268414592335 │ 32 │ 10 │ 103 │ 0.363 │ 2.341 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 165 │ 0.012286853000221597403962547901 │ 32 │ 54 │ 121 │ 0.279 │ 2.605 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.019655361788151338997554518073 │ 32 │ 200 │ 33 │ 0.363 │ 0.975 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 180 │ 0.012009140475680819132309196107 │ 32 │ 111 │ 115 │ 0.232 │ 3.009 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.039909870793623208884426389886 │ 32 │ 26 │ 223 │ 0.363 │ 0.935 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.020554779394848385343230745548 │ 29 │ 200 │ 68 │ 0.237 │ 0.951 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.021202054519270433635691475160 │ 32 │ 33 │ 82 │ 0.311 │ 0.940 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 163 │ 0.011895236203000245089889119754 │ 32 │ 200 │ 129 │ 0.300 │ 3.050 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 186 │ 0.013970129678911275689090487617 │ 32 │ 23 │ 52 │ 0.216 │ 2.733 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.035468834406224364341753130248 │ 32 │ 10 │ 10 │ 0.242 │ 0.899 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 214 │ 0.009471266118845364859191171547 │ 32 │ 10 │ 79 │ 0.363 │ 3.092 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 74 │ 0.020068303733707670150065993653 │ 32 │ 13 │ 92 │ 0.358 │ 1.478 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.038873360982417670683730648307 │ 31 │ 200 │ 10 │ 0.363 │ 1.084 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.045672639691522715077454108723 │ 31 │ 10 │ 10 │ 0.321 │ 0.875 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 17 │ 200 │ 250 │ 0.363 │ 1.268 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.020381871069787949046769881534 │ 30 │ 109 │ 33 │ 0.363 │ 0.926 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 108 │ 0.036171952772273779919132152827 │ 32 │ 11 │ 20 │ 0.358 │ 1.761 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 33 │ 0.025769899647995413161094546695 │ 32 │ 79 │ 93 │ 0.363 │ 1.006 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 32 │ 10 │ 93 │ 0.363 │ 0.877 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 41 │ 0.017904379589092085656165664886 │ 32 │ 172 │ 99 │ 0.326 │ 1.163 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.020736385834958737106603621214 │ 32 │ 29 │ 20 │ 0.337 │ 0.908 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 143 │ 0.016495326861486307029602826901 │ 32 │ 109 │ 117 │ 0.326 │ 2.557 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.050000000000000002775557561563 │ 32 │ 10 │ 10 │ 0.363 │ 1.760 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.022998537805818172058414106118 │ 32 │ 156 │ 101 │ 0.242 │ 0.984 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 74 │ 0.017863615331536027153180867799 │ 32 │ 199 │ 85 │ 0.347 │ 1.608 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 103 │ 0.016004014710583526481801897035 │ 32 │ 165 │ 96 │ 0.253 │ 1.935 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 19 │ 10 │ 10 │ 0.374 │ 1.096 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 182 │ 0.016032462899243402759674737013 │ 32 │ 90 │ 100 │ 0.268 │ 2.996 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 189 │ 0.035684805429075858174137181322 │ 32 │ 19 │ 10 │ 0.353 │ 2.704 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 99 │ 0.020581595071857222700728584641 │ 32 │ 197 │ 100 │ 0.363 │ 2.010 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 51 │ 0.031778873024982140504945959947 │ 32 │ 136 │ 113 │ 0.363 │ 1.302 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 187 │ 0.013309925887217174955701182171 │ 32 │ 173 │ 125 │ 0.247 │ 3.618 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 83 │ 0.014318799402811442297855926142 │ 32 │ 200 │ 56 │ 0.368 │ 1.629 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 61 │ 0.016640736066235142093239218752 │ 32 │ 170 │ 102 │ 0.337 │ 1.457 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 210 │ 0.013547929742508291184321933542 │ 32 │ 35 │ 110 │ 0.237 │ 3.182 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 219 │ 0.012160325544900416061544490276 │ 32 │ 42 │ 146 │ 0.200 │ 3.276 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 207 │ 0.050000000000000002775557561563 │ 32 │ 10 │ 145 │ 0.363 │ 3.119 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 106 │ 0.016348164552907020613536914766 │ 32 │ 13 │ 106 │ 0.358 │ 1.860 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 205 │ 0.008256047717776932373667797549 │ 32 │ 28 │ 123 │ 0.263 │ 3.070 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 188 │ 0.012487917716030479120536966775 │ 32 │ 18 │ 130 │ 0.205 │ 2.812 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 211 │ 0.011965517785828386904123377121 │ 32 │ 190 │ 151 │ 0.337 │ 3.868 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 233 │ 0.007758253860415229193059349910 │ 32 │ 10 │ 188 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 32 │ 81 │ 10 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 292 │ 0.001000000000000000020816681712 │ 32 │ 10 │ 56 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 200 │ 0.001000000000000000020816681712 │ 32 │ 10 │ 250 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 153 │ 0.015233330753900620538332510989 │ 32 │ 18 │ 109 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 203 │ 0.011154254297643094798186957917 │ 32 │ 24 │ 166 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.030113015593171338357691979581 │ 32 │ 196 │ 75 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 48 │ 0.020468740002209162565094402453 │ 32 │ 199 │ 113 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 58 │ 0.019498918323747917863419942819 │ 32 │ 28 │ 105 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 170 │ 0.014493020193629141054159070734 │ 32 │ 20 │ 111 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 208 │ 0.010925409707129690381477438166 │ 32 │ 153 │ 102 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 204 │ 0.001000000000000000020816681712 │ 32 │ 10 │ 84 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 105 │ 0.015911362509449564206498450858 │ 32 │ 199 │ 97 │ │ │
└────────┴──────────────────────────────────┴─────┴─────┴─────┴────────┴────────┘
Pareto-Front for RESULT/TIME:
┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━┳━━━━━┳━━━━━┳━━━━━━━━┳━━━━━━━━┓
┃ epochs ┃ lr ┃ bsz ┃ da ┃ db ┃ RESULT ┃ TIME ┃
┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━╇━━━━━╇━━━━━╇━━━━━━━━╇━━━━━━━━┩
│ 345 │ 0.025903163433074954252743893335 │ 8 │ 200 │ 66 │ 0.363 │ 15.333 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 174 │ 0.005775359461084008522169241928 │ 22 │ 32 │ 143 │ 0.279 │ 3.453 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 76 │ 0.039912726011127233616271325900 │ 13 │ 141 │ 207 │ 0.363 │ 2.843 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 252 │ 0.016627478961832822812461074591 │ 27 │ 70 │ 103 │ 0.189 │ 4.014 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 203 │ 0.048174699342809622348848819229 │ 20 │ 95 │ 73 │ 0.363 │ 4.144 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 41 │ 0.021791052578017118535047558225 │ 5 │ 119 │ 237 │ 0.363 │ 3.619 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 136 │ 0.037583327449858192070841766963 │ 32 │ 55 │ 173 │ 0.363 │ 2.234 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 299 │ 0.008232147173024714770228627003 │ 17 │ 174 │ 36 │ 0.363 │ 5.951 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 286 │ 0.042725006626918915486612604582 │ 29 │ 108 │ 148 │ 0.363 │ 4.469 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.013839340071193875769672843035 │ 15 │ 83 │ 41 │ 0.216 │ 2.936 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 11 │ 0.028689818051643670854256029656 │ 20 │ 162 │ 130 │ 0.363 │ 0.812 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 189 │ 0.002964608523994684101399155196 │ 6 │ 44 │ 203 │ 0.258 │ 11.251 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 227 │ 0.034221261506900191307067871094 │ 12 │ 21 │ 234 │ 0.363 │ 7.093 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 57 │ 0.011618355571292340172595558556 │ 27 │ 188 │ 100 │ 0.305 │ 1.521 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 156 │ 0.044789998718537393784799860441 │ 10 │ 58 │ 10 │ 0.363 │ 5.514 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 322 │ 0.025151657477021218539681157722 │ 25 │ 129 │ 178 │ 0.363 │ 6.026 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 316 │ 0.045495020604692404386781845460 │ 15 │ 51 │ 114 │ 0.363 │ 8.130 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 141 │ 0.022939498839899898768868169441 │ 31 │ 169 │ 218 │ 0.200 │ 2.615 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 68 │ 0.031841154552996159265987330400 │ 6 │ 99 │ 132 │ 0.358 │ 4.545 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 239 │ 0.012443099276162685601354596088 │ 22 │ 124 │ 55 │ 0.205 │ 4.443 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 171 │ 0.017680302696069641332776711806 │ 31 │ 44 │ 29 │ 0.253 │ 2.417 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 24 │ 35 │ 50 │ 0.353 │ 0.663 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 131 │ 0.018402747019806164202604392699 │ 28 │ 34 │ 16 │ 0.284 │ 1.976 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 23 │ 10 │ 10 │ 0.395 │ 0.664 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 191 │ 0.017722426557444638517413437739 │ 32 │ 119 │ 10 │ 0.363 │ 2.742 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 73 │ 0.017384452471897099412601050972 │ 23 │ 154 │ 30 │ 0.363 │ 1.709 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 183 │ 0.017354746874606953588315860770 │ 32 │ 53 │ 225 │ 0.363 │ 2.860 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 13 │ 0.016318239907910200153784430199 │ 24 │ 49 │ 26 │ 0.347 │ 0.724 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 176 │ 0.017374392637534426947487631310 │ 27 │ 151 │ 142 │ 0.237 │ 3.250 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 97 │ 0.017648466175000005612405473698 │ 28 │ 14 │ 249 │ 0.363 │ 1.780 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 24 │ 10 │ 250 │ 0.358 │ 0.675 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 21 │ 0.001000000000000000020816681712 │ 23 │ 173 │ 141 │ 0.447 │ 0.924 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.017458514342450669881712244091 │ 32 │ 10 │ 10 │ 0.321 │ 1.674 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 24 │ 184 │ 192 │ 0.358 │ 0.692 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 126 │ 0.017824454907680968573924218390 │ 25 │ 200 │ 52 │ 0.363 │ 2.368 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 173 │ 0.017825463561557716718475319340 │ 18 │ 159 │ 30 │ 0.363 │ 3.953 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 22 │ 136 │ 244 │ 0.484 │ 1.974 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 52 │ 0.017313736657032716137472050377 │ 32 │ 12 │ 54 │ 0.368 │ 2.266 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 181 │ 0.017984054831182705314063241531 │ 32 │ 10 │ 123 │ 0.358 │ 3.734 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 14 │ 0.040229099643559626531263972993 │ 22 │ 200 │ 10 │ 0.363 │ 1.974 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 73 │ 0.012487944883151046171487763559 │ 23 │ 104 │ 102 │ 0.363 │ 1.776 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 188 │ 0.012609635738604459825884518409 │ 25 │ 87 │ 79 │ 0.305 │ 3.437 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 18 │ 0.011708715093221846656468265735 │ 23 │ 77 │ 128 │ 0.368 │ 1.122 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.041794599755004151198090056596 │ 24 │ 10 │ 130 │ 0.363 │ 0.767 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 19 │ 0.020510765699027065644965972524 │ 25 │ 182 │ 194 │ 0.363 │ 1.019 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 117 │ 0.012187045098319892674765263507 │ 23 │ 92 │ 82 │ 0.242 │ 3.619 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 34 │ 0.011828131868103237273048833345 │ 24 │ 87 │ 89 │ 0.316 │ 1.064 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 95 │ 0.020062690100526369557654149389 │ 28 │ 186 │ 204 │ 0.216 │ 2.547 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 14 │ 0.050000000000000002775557561563 │ 24 │ 36 │ 156 │ 0.363 │ 1.058 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 109 │ 0.023003483708627779635857990570 │ 32 │ 196 │ 237 │ 0.363 │ 2.705 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.030294553668301638094106920107 │ 23 │ 34 │ 109 │ 0.363 │ 1.487 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 148 │ 0.012716638728482710513079112502 │ 23 │ 96 │ 100 │ 0.279 │ 4.373 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 48 │ 0.023474166507225082550780470569 │ 28 │ 182 │ 237 │ 0.363 │ 1.754 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 56 │ 0.010779110452620895357900288047 │ 23 │ 92 │ 74 │ 0.258 │ 2.164 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 204 │ 0.012717373101202031696055350096 │ 22 │ 91 │ 91 │ 0.326 │ 5.538 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 13 │ 0.013528433386812603947402244842 │ 23 │ 118 │ 94 │ 0.411 │ 0.864 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 191 │ 0.012491569013170210691865413821 │ 21 │ 77 │ 64 │ 0.221 │ 4.166 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 89 │ 138 │ 0.363 │ 0.764 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 16 │ 0.008889030710019398331955819970 │ 10 │ 160 │ 18 │ 0.363 │ 1.216 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 60 │ 0.019562886370738347824316250012 │ 32 │ 169 │ 250 │ 0.353 │ 1.641 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 83 │ 0.023447807233058726161800677801 │ 29 │ 88 │ 15 │ 0.363 │ 1.521 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 26 │ 96 │ 36 │ 0.384 │ 0.763 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 120 │ 0.020046138464022755787397045424 │ 29 │ 185 │ 93 │ 0.226 │ 2.273 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 23 │ 10 │ 0.363 │ 0.714 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 224 │ 0.017148417607547396940281814182 │ 31 │ 72 │ 115 │ 0.284 │ 4.900 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 62 │ 29 │ 0.363 │ 1.485 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 133 │ 0.043437927915202054207632897942 │ 31 │ 171 │ 171 │ 0.363 │ 2.483 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 58 │ 0.001000000000000000020816681712 │ 28 │ 90 │ 10 │ 0.363 │ 1.412 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 132 │ 0.016557459846981821549594116050 │ 30 │ 79 │ 16 │ 0.253 │ 3.238 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 122 │ 0.050000000000000002775557561563 │ 30 │ 169 │ 10 │ 0.363 │ 3.018 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 116 │ 0.001000000000000000020816681712 │ 29 │ 186 │ 10 │ 0.316 │ 3.042 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 137 │ 0.001000000000000000020816681712 │ 30 │ 172 │ 41 │ 0.342 │ 3.288 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 86 │ 0.050000000000000002775557561563 │ 29 │ 87 │ 186 │ 0.363 │ 2.761 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.050000000000000002775557561563 │ 29 │ 186 │ 11 │ 0.363 │ 2.584 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 26 │ 67 │ 10 │ 0.421 │ 0.644 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 93 │ 0.001000000000000000020816681712 │ 29 │ 87 │ 10 │ 0.511 │ 1.824 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 157 │ 0.031476710608913133215835955525 │ 30 │ 172 │ 46 │ 0.221 │ 2.870 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 26 │ 150 │ 10 │ 0.363 │ 0.753 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 62 │ 0.050000000000000002775557561563 │ 28 │ 89 │ 10 │ 0.363 │ 1.572 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 228 │ 0.050000000000000002775557561563 │ 31 │ 74 │ 45 │ 0.253 │ 3.693 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 62 │ 0.024354375580071800644343937847 │ 27 │ 97 │ 95 │ 0.363 │ 1.430 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.017149285711075490379329266943 │ 12 │ 14 │ 129 │ 0.347 │ 0.941 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.028685409848040573782546047710 │ 26 │ 10 │ 10 │ 0.363 │ 1.558 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.023348845891819115100362935777 │ 12 │ 36 │ 10 │ 0.289 │ 1.737 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 152 │ 0.021278412796994605749034690234 │ 29 │ 115 │ 111 │ 0.279 │ 3.944 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 72 │ 0.024674582417528918149018934969 │ 27 │ 172 │ 112 │ 0.363 │ 1.948 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 150 │ 0.017651294055569016067108734092 │ 32 │ 200 │ 146 │ 0.216 │ 3.612 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 52 │ 0.011854711269056725231330062797 │ 11 │ 19 │ 20 │ 0.284 │ 2.596 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 113 │ 0.023156508498210597035704694235 │ 29 │ 99 │ 89 │ 0.363 │ 2.591 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 99 │ 0.015078150046465635392145543392 │ 13 │ 10 │ 54 │ 0.358 │ 3.012 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 31 │ 0.027261789306212220324043826736 │ 26 │ 182 │ 118 │ 0.258 │ 1.274 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.015841903998201505021636847914 │ 10 │ 10 │ 10 │ 0.363 │ 0.963 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.028851731090408856000850690293 │ 26 │ 98 │ 10 │ 0.363 │ 1.558 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 13 │ 75 │ 78 │ 0.232 │ 0.947 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 169 │ 0.017751023338965266767930373248 │ 30 │ 200 │ 146 │ 0.226 │ 3.702 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 91 │ 0.023627969609734653794186343134 │ 28 │ 184 │ 112 │ 0.363 │ 2.282 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 10 │ 173 │ 10 │ 0.363 │ 1.048 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 31 │ 0.012401364616224591977400315557 │ 12 │ 29 │ 60 │ 0.316 │ 1.668 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 32 │ 0.027051692162244365957857183957 │ 24 │ 10 │ 25 │ 0.363 │ 1.274 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 44 │ 0.020050887158898047374355755323 │ 12 │ 15 │ 67 │ 0.363 │ 2.077 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 10 │ 35 │ 200 │ 0.363 │ 1.193 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 9 │ 10 │ 68 │ 0.363 │ 1.210 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 131 │ 0.016430577921525350848508395529 │ 32 │ 200 │ 243 │ 0.363 │ 3.450 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.023491395760962211630706875098 │ 11 │ 189 │ 53 │ 0.263 │ 0.835 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 127 │ 0.020739689812058155482521470958 │ 32 │ 200 │ 10 │ 0.263 │ 2.244 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 6 │ 123 │ 20 │ 0.363 │ 1.459 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.047742087769211828673920905430 │ 12 │ 10 │ 82 │ 0.363 │ 1.176 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 163 │ 0.019883343943207357207292318435 │ 32 │ 190 │ 39 │ 0.242 │ 2.864 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 7 │ 10 │ 205 │ 0.363 │ 1.323 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 11 │ 0.025690124472306490738260364992 │ 26 │ 200 │ 171 │ 0.363 │ 0.856 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.036331881868051071893255254963 │ 11 │ 200 │ 65 │ 0.363 │ 1.315 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.016508750052996536833438412373 │ 18 │ 45 │ 244 │ 0.316 │ 0.817 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 89 │ 0.018097737580686480696190443496 │ 32 │ 200 │ 95 │ 0.221 │ 2.030 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 81 │ 0.019895470131600485885758899940 │ 27 │ 200 │ 28 │ 0.311 │ 2.289 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 30 │ 171 │ 250 │ 0.363 │ 0.987 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.032868720317230239180705808621 │ 11 │ 186 │ 194 │ 0.363 │ 1.234 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 164 │ 0.019772492006517743828863942213 │ 32 │ 193 │ 249 │ 0.363 │ 4.136 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 11 │ 10 │ 10 │ 0.363 │ 0.891 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.039495251684349801102325017155 │ 9 │ 16 │ 39 │ 0.363 │ 0.927 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 12 │ 44 │ 196 │ 0.363 │ 0.917 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 60 │ 0.018724751264986998905426318629 │ 15 │ 200 │ 63 │ 0.363 │ 1.962 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 46 │ 0.019636691654782476024188042629 │ 27 │ 175 │ 51 │ 0.358 │ 1.165 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 17 │ 0.019311192589743574749006072011 │ 11 │ 200 │ 33 │ 0.268 │ 1.134 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.020289979453341152465517538417 │ 27 │ 189 │ 19 │ 0.363 │ 0.685 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 119 │ 0.016795952194704633769761770168 │ 16 │ 199 │ 39 │ 0.363 │ 3.185 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 139 │ 0.015593483628587537920262562352 │ 32 │ 174 │ 109 │ 0.279 │ 4.689 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 61 │ 0.019681443920676906095268421382 │ 29 │ 185 │ 22 │ 0.363 │ 1.325 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 164 │ 0.014750580257019483068625653743 │ 31 │ 200 │ 112 │ 0.289 │ 3.341 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 150 │ 0.013271199492865393479434921176 │ 32 │ 26 │ 78 │ 0.358 │ 2.897 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 112 │ 0.016946338379426009734807223595 │ 30 │ 141 │ 80 │ 0.237 │ 4.237 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 117 │ 0.017276877354457587793179484947 │ 15 │ 190 │ 119 │ 0.363 │ 4.762 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 78 │ 0.018491653530324711485199884464 │ 29 │ 189 │ 75 │ 0.263 │ 1.701 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.018294870581433541473215242945 │ 27 │ 10 │ 10 │ 0.316 │ 0.681 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 87 │ 0.018009016610147532411190240964 │ 15 │ 194 │ 96 │ 0.363 │ 2.650 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.026468545962785056113730774996 │ 26 │ 33 │ 205 │ 0.363 │ 2.620 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 62 │ 0.018737899561467409592641075733 │ 27 │ 189 │ 79 │ 0.226 │ 1.478 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 118 │ 0.016263889479824576028699212316 │ 31 │ 196 │ 94 │ 0.247 │ 2.498 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.020937476558996102882215240015 │ 14 │ 200 │ 71 │ 0.263 │ 0.921 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 104 │ 0.017876628784726584370234903076 │ 30 │ 198 │ 97 │ 0.221 │ 2.667 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 20 │ 0.025707450850959490118441408413 │ 9 │ 200 │ 10 │ 0.363 │ 1.400 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 17 │ 0.025787306336975738402239599623 │ 14 │ 92 │ 27 │ 0.326 │ 0.971 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 18 │ 0.001061252332202752010972823804 │ 13 │ 56 │ 20 │ 0.395 │ 1.126 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 16 │ 0.015643732248158407488469734403 │ 16 │ 78 │ 17 │ 0.363 │ 0.948 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.040883604531681543015064761448 │ 16 │ 86 │ 10 │ 0.363 │ 0.922 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 11 │ 64 │ 169 │ 0.479 │ 1.112 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 77 │ 0.019519912345667311120989140250 │ 16 │ 87 │ 11 │ 0.363 │ 2.552 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 22 │ 0.007082595292686641973156635999 │ 12 │ 76 │ 49 │ 0.300 │ 1.232 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.027454839342000453977776786019 │ 14 │ 89 │ 114 │ 0.289 │ 0.944 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 8 │ 18 │ 250 │ 0.579 │ 1.191 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 39 │ 0.001000000000000000020816681712 │ 10 │ 84 │ 14 │ 0.363 │ 2.132 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.022553174550773283368876320765 │ 32 │ 200 │ 119 │ 0.358 │ 0.715 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 37 │ 0.017935924083963161734800451086 │ 15 │ 88 │ 92 │ 0.200 │ 1.807 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.034417014208366215888279526780 │ 15 │ 82 │ 49 │ 0.295 │ 0.805 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 14 │ 92 │ 12 │ 0.363 │ 1.025 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.024547582277012529317072875301 │ 12 │ 87 │ 21 │ 0.337 │ 1.009 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.001000000000000000020816681712 │ 15 │ 91 │ 35 │ 0.358 │ 1.024 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 17 │ 0.021659113665713748686503237195 │ 14 │ 88 │ 245 │ 0.347 │ 1.098 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 94 │ 0.003435905871596365342840462276 │ 17 │ 51 │ 72 │ 0.311 │ 2.503 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 93 │ 0.027617420239104382290173944625 │ 20 │ 74 │ 17 │ 0.363 │ 2.418 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 26 │ 0.001000000000000000020816681712 │ 15 │ 55 │ 114 │ 0.405 │ 1.353 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.029956690706734758616880398563 │ 14 │ 10 │ 250 │ 0.363 │ 0.969 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.017768889785998810693090632640 │ 13 │ 168 │ 131 │ 0.363 │ 0.990 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 136 │ 0.022891151804476480430272644639 │ 32 │ 200 │ 60 │ 0.363 │ 2.701 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.019491423888968992944592528715 │ 11 │ 159 │ 91 │ 0.358 │ 1.178 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.027740755800228958372066756510 │ 11 │ 29 │ 170 │ 0.363 │ 1.145 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 70 │ 0.018204764014890701534499228842 │ 32 │ 192 │ 86 │ 0.232 │ 1.523 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 155 │ 0.021615488247461796256221333579 │ 32 │ 195 │ 88 │ 0.221 │ 3.007 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 18 │ 200 │ 190 │ 0.363 │ 0.770 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 118 │ 0.021650372598104844490407572266 │ 32 │ 200 │ 111 │ 0.242 │ 2.438 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 16 │ 0.022905034736391358812790386423 │ 17 │ 10 │ 76 │ 0.316 │ 0.925 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.019452611616455721399443490327 │ 14 │ 127 │ 78 │ 0.332 │ 0.992 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 11 │ 178 │ 158 │ 0.358 │ 0.911 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.025617803595761497181815258273 │ 11 │ 152 │ 172 │ 0.363 │ 1.033 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.038253316782336413415244180669 │ 18 │ 176 │ 234 │ 0.363 │ 0.941 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.018765202179245779601224342059 │ 8 │ 166 │ 64 │ 0.326 │ 1.165 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.011338744144401469507443813711 │ 32 │ 200 │ 92 │ 0.353 │ 0.682 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 24 │ 0.050000000000000002775557561563 │ 16 │ 177 │ 104 │ 0.363 │ 1.300 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 56 │ 0.017009371969744415536984760706 │ 32 │ 200 │ 50 │ 0.411 │ 1.409 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.026946790375043955939604600758 │ 16 │ 177 │ 207 │ 0.358 │ 0.947 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 80 │ 0.018585536349393860788836718712 │ 32 │ 198 │ 99 │ 0.237 │ 1.913 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 106 │ 0.017623223741117320650939603865 │ 32 │ 159 │ 120 │ 0.274 │ 2.348 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 64 │ 0.019900518974559466833795795537 │ 31 │ 163 │ 125 │ 0.247 │ 1.556 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 42 │ 0.021468095111901893540240493508 │ 31 │ 192 │ 120 │ 0.247 │ 1.423 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 56 │ 0.022216501608706012288463327309 │ 32 │ 188 │ 128 │ 0.363 │ 1.423 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 84 │ 0.019325771645218269706445468614 │ 30 │ 200 │ 131 │ 0.295 │ 2.095 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 127 │ 0.016933899515932767515513646117 │ 32 │ 194 │ 105 │ 0.337 │ 2.671 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 14 │ 0.022928269519312705071456548467 │ 30 │ 14 │ 104 │ 0.332 │ 0.890 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 144 │ 0.016127340832510127233145880155 │ 32 │ 192 │ 110 │ 0.242 │ 2.793 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.021734366415389429205706761650 │ 30 │ 200 │ 56 │ 0.442 │ 0.802 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.020691500205523242345018175570 │ 18 │ 90 │ 35 │ 0.363 │ 1.847 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.023843443728795186281610440915 │ 9 │ 11 │ 68 │ 0.353 │ 1.085 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 51 │ 0.019040889204281971625043468066 │ 30 │ 200 │ 98 │ 0.347 │ 1.439 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 135 │ 0.020475371830564852160261324343 │ 32 │ 200 │ 113 │ 0.363 │ 2.814 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 110 │ 0.017291205682982757618759706020 │ 32 │ 200 │ 113 │ 0.321 │ 2.328 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.019895452748393424591277778291 │ 11 │ 10 │ 53 │ 0.358 │ 0.934 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 171 │ 0.018585681196428387174091056977 │ 32 │ 198 │ 101 │ 0.363 │ 3.312 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 95 │ 0.018159283779773851413841256885 │ 32 │ 200 │ 131 │ 0.363 │ 2.001 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 102 │ 0.016068808732370855330007231032 │ 28 │ 200 │ 126 │ 0.226 │ 2.207 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 73 │ 0.018146645925216375178079530883 │ 32 │ 187 │ 146 │ 0.284 │ 1.644 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 10 │ 0.050000000000000002775557561563 │ 32 │ 183 │ 133 │ 0.363 │ 0.706 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.019898438983747410851998793646 │ 31 │ 200 │ 95 │ 0.300 │ 1.193 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 94 │ 0.017641194053718795703433741551 │ 32 │ 12 │ 98 │ 0.300 │ 1.923 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 121 │ 0.016332392286982064244504897488 │ 32 │ 21 │ 115 │ 0.321 │ 2.401 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 51 │ 0.019481671995773039429700190794 │ 30 │ 47 │ 79 │ 0.321 │ 1.369 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.022170258518334942654526287242 │ 30 │ 10 │ 136 │ 0.363 │ 1.072 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 139 │ 0.016550753854827963268414592335 │ 32 │ 10 │ 103 │ 0.363 │ 2.341 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 165 │ 0.012286853000221597403962547901 │ 32 │ 54 │ 121 │ 0.279 │ 2.605 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.019655361788151338997554518073 │ 32 │ 200 │ 33 │ 0.363 │ 0.975 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 180 │ 0.012009140475680819132309196107 │ 32 │ 111 │ 115 │ 0.232 │ 3.009 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.039909870793623208884426389886 │ 32 │ 26 │ 223 │ 0.363 │ 0.935 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.020554779394848385343230745548 │ 29 │ 200 │ 68 │ 0.237 │ 0.951 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.021202054519270433635691475160 │ 32 │ 33 │ 82 │ 0.311 │ 0.940 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 163 │ 0.011895236203000245089889119754 │ 32 │ 200 │ 129 │ 0.300 │ 3.050 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 186 │ 0.013970129678911275689090487617 │ 32 │ 23 │ 52 │ 0.216 │ 2.733 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.035468834406224364341753130248 │ 32 │ 10 │ 10 │ 0.242 │ 0.899 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 214 │ 0.009471266118845364859191171547 │ 32 │ 10 │ 79 │ 0.363 │ 3.092 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 74 │ 0.020068303733707670150065993653 │ 32 │ 13 │ 92 │ 0.358 │ 1.478 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.038873360982417670683730648307 │ 31 │ 200 │ 10 │ 0.363 │ 1.084 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.045672639691522715077454108723 │ 31 │ 10 │ 10 │ 0.321 │ 0.875 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 17 │ 200 │ 250 │ 0.363 │ 1.268 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.020381871069787949046769881534 │ 30 │ 109 │ 33 │ 0.363 │ 0.926 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 108 │ 0.036171952772273779919132152827 │ 32 │ 11 │ 20 │ 0.358 │ 1.761 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 33 │ 0.025769899647995413161094546695 │ 32 │ 79 │ 93 │ 0.363 │ 1.006 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 32 │ 10 │ 93 │ 0.363 │ 0.877 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 41 │ 0.017904379589092085656165664886 │ 32 │ 172 │ 99 │ 0.326 │ 1.163 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.020736385834958737106603621214 │ 32 │ 29 │ 20 │ 0.337 │ 0.908 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 143 │ 0.016495326861486307029602826901 │ 32 │ 109 │ 117 │ 0.326 │ 2.557 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 107 │ 0.050000000000000002775557561563 │ 32 │ 10 │ 10 │ 0.363 │ 1.760 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.022998537805818172058414106118 │ 32 │ 156 │ 101 │ 0.242 │ 0.984 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 74 │ 0.017863615331536027153180867799 │ 32 │ 199 │ 85 │ 0.347 │ 1.608 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 103 │ 0.016004014710583526481801897035 │ 32 │ 165 │ 96 │ 0.253 │ 1.935 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 19 │ 10 │ 10 │ 0.374 │ 1.096 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 182 │ 0.016032462899243402759674737013 │ 32 │ 90 │ 100 │ 0.268 │ 2.996 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 189 │ 0.035684805429075858174137181322 │ 32 │ 19 │ 10 │ 0.353 │ 2.704 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 99 │ 0.020581595071857222700728584641 │ 32 │ 197 │ 100 │ 0.363 │ 2.010 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 51 │ 0.031778873024982140504945959947 │ 32 │ 136 │ 113 │ 0.363 │ 1.302 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 187 │ 0.013309925887217174955701182171 │ 32 │ 173 │ 125 │ 0.247 │ 3.618 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 83 │ 0.014318799402811442297855926142 │ 32 │ 200 │ 56 │ 0.368 │ 1.629 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 61 │ 0.016640736066235142093239218752 │ 32 │ 170 │ 102 │ 0.337 │ 1.457 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 210 │ 0.013547929742508291184321933542 │ 32 │ 35 │ 110 │ 0.237 │ 3.182 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 219 │ 0.012160325544900416061544490276 │ 32 │ 42 │ 146 │ 0.200 │ 3.276 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 207 │ 0.050000000000000002775557561563 │ 32 │ 10 │ 145 │ 0.363 │ 3.119 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 106 │ 0.016348164552907020613536914766 │ 32 │ 13 │ 106 │ 0.358 │ 1.860 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 205 │ 0.008256047717776932373667797549 │ 32 │ 28 │ 123 │ 0.263 │ 3.070 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 188 │ 0.012487917716030479120536966775 │ 32 │ 18 │ 130 │ 0.205 │ 2.812 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 211 │ 0.011965517785828386904123377121 │ 32 │ 190 │ 151 │ 0.337 │ 3.868 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 233 │ 0.007758253860415229193059349910 │ 32 │ 10 │ 188 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.050000000000000002775557561563 │ 32 │ 81 │ 10 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 292 │ 0.001000000000000000020816681712 │ 32 │ 10 │ 56 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 200 │ 0.001000000000000000020816681712 │ 32 │ 10 │ 250 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 153 │ 0.015233330753900620538332510989 │ 32 │ 18 │ 109 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 203 │ 0.011154254297643094798186957917 │ 32 │ 24 │ 166 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 30 │ 0.030113015593171338357691979581 │ 32 │ 196 │ 75 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 48 │ 0.020468740002209162565094402453 │ 32 │ 199 │ 113 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 58 │ 0.019498918323747917863419942819 │ 32 │ 28 │ 105 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 170 │ 0.014493020193629141054159070734 │ 32 │ 20 │ 111 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 208 │ 0.010925409707129690381477438166 │ 32 │ 153 │ 102 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 204 │ 0.001000000000000000020816681712 │ 32 │ 10 │ 84 │ │ │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│ 105 │ 0.015911362509449564206498450858 │ 32 │ 199 │ 97 │ │ │
└────────┴──────────────────────────────────┴─────┴─────┴─────┴────────┴────────┘
</pre>
<h1> Results</h1>
<div id='tab_results_csv_table'></div>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download »results.csv« as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_node,RESULT,TIME,epochs,lr,bsz,da,db
0,0_0,COMPLETED,SOBOL,0.363157894700000039023279896355,15.332782506899999219740493572317,345,0.025903163433074954252743893335,8,200,66
1,1_0,COMPLETED,SOBOL,0.278947368400000006438688160415,3.453499078800000177125184563920,174,0.005775359461084008522169241928,22,32,143
2,2_0,COMPLETED,SOBOL,0.363157894700000039023279896355,2.842751026200000197263761947397,76,0.039912726011127233616271325900,13,141,207
3,3_0,COMPLETED,SOBOL,0.189473684200000019872689449585,4.014418840400000298984650726197,252,0.016627478961832822812461074591,27,70,103
4,4_0,COMPLETED,SOBOL,0.363157894700000039023279896355,4.143909454300000128057490655920,203,0.048174699342809622348848819229,20,95,73
5,5_0,COMPLETED,SOBOL,0.363157894700000039023279896355,3.619486093499999945777290122351,41,0.021791052578017118535047558225,5,119,237
6,6_0,COMPLETED,SOBOL,0.363157894700000039023279896355,2.234476089500000206555796467001,136,0.037583327449858192070841766963,32,55,173
7,7_0,COMPLETED,SOBOL,0.363157894700000039023279896355,5.951323747600000046986679080874,299,0.008232147173024714770228627003,17,174,36
8,8_0,COMPLETED,SOBOL,0.363157894700000039023279896355,4.468504667300000399166037823306,286,0.042725006626918915486612604582,29,108,148
9,9_0,COMPLETED,SOBOL,0.215789473700000011824329249066,2.936373472200000112053430711967,107,0.013839340071193875769672843035,15,83,41
10,10_0,COMPLETED,SOBOL,0.363157894700000039023279896355,0.811542034100000031493493679591,11,0.028689818051643670854256029656,20,162,130
11,11_0,COMPLETED,SOBOL,0.257894736800000023979606567082,11.250745296499999881234543863684,189,0.002964608523994684101399155196,6,44,203
12,12_0,COMPLETED,SOBOL,0.363157894700000039023279896355,7.092697858800000254575479630148,227,0.034221261506900191307067871094,12,21,234
13,13_0,COMPLETED,SOBOL,0.305263157900000026145903575525,1.520829916000000059383978623373,57,0.011618355571292340172595558556,27,188,100
14,14_0,COMPLETED,SOBOL,0.363157894700000039023279896355,5.514180660200000083648319559870,156,0.044789998718537393784799860441,10,58,10
15,15_0,COMPLETED,SOBOL,0.363157894700000039023279896355,6.025817394299999740781004220480,322,0.025151657477021218539681157722,25,129,178
16,16_0,COMPLETED,SOBOL,0.363157894700000039023279896355,8.129753828000000126507984532509,316,0.045495020604692404386781845460,15,51,114
17,17_0,COMPLETED,SOBOL,0.200000000000000011102230246252,2.614570856100000284527595795225,141,0.022939498839899898768868169441,31,169,218
18,18_0,COMPLETED,SOBOL,0.357894736800000001775146074579,4.545076847099999817203297425294,68,0.031841154552996159265987330400,6,99,132
19,19_0,COMPLETED,SOBOL,0.205263157900000020594788452399,4.443439960500000118770458357176,239,0.012443099276162685601354596088,22,124,55
20,20_0,COMPLETED,BOTORCH_MODULAR,0.252631578899999986731472745305,2.417347192799999877621530686156,171,0.017680302696069641332776711806,31,44,29
21,21_0,COMPLETED,BOTORCH_MODULAR,0.352631578900000020038163484060,0.663273096100000070229896209639,10,0.050000000000000002775557561563,24,35,50
22,22_0,COMPLETED,BOTORCH_MODULAR,0.284210526299999988175670750934,1.975509643600000142527051139041,131,0.018402747019806164202604392699,28,34,16
23,23_0,COMPLETED,BOTORCH_MODULAR,0.394736842100000040467477901984,0.664099454899999996904114141216,10,0.001000000000000000020816681712,23,10,10
24,24_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.742326259599999982441431711777,191,0.017722426557444638517413437739,32,119,10
25,25_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.709119558300000063510992731608,73,0.017384452471897099412601050972,23,154,30
26,26_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.859553813899999852310429560021,183,0.017354746874606953588315860770,32,53,225
27,27_0,COMPLETED,BOTORCH_MODULAR,0.347368421099999991064066762192,0.723531246199999977797290284798,13,0.016318239907910200153784430199,24,49,26
28,28_0,COMPLETED,BOTORCH_MODULAR,0.236842105300000022038986458028,3.249799728400000198291763808811,176,0.017374392637534426947487631310,27,151,142
29,29_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.779745340299999867283986532129,97,0.017648466175000005612405473698,28,14,249
30,30_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,0.675118923199999998452369709412,10,0.050000000000000002775557561563,24,10,250
31,31_0,COMPLETED,BOTORCH_MODULAR,0.447368421100000024370757500947,0.923575878100000080550557868264,21,0.001000000000000000020816681712,23,173,141
32,32_0,COMPLETED,BOTORCH_MODULAR,0.321052631600000026868002578340,1.673884868600000075389289122541,107,0.017458514342450669881712244091,32,10,10
33,33_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,0.692442178700000021684957118850,10,0.050000000000000002775557561563,24,184,192
34,34_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.367763757700000137873530547949,126,0.017824454907680968573924218390,25,200,52
35,35_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,3.952898502300000060927231970709,173,0.017825463561557716718475319340,18,159,30
36,36_0,COMPLETED,BOTORCH_MODULAR,0.484210526299999999277900997185,1.974028348900000118248954095179,10,0.001000000000000000020816681712,22,136,244
37,37_0,COMPLETED,BOTORCH_MODULAR,0.368421052600000020760262486874,2.265871763199999833204856258817,52,0.017313736657032716137472050377,32,12,54
38,38_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,3.734023332600000077974300438655,181,0.017984054831182705314063241531,32,10,123
39,39_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.973786592499999992256221048592,14,0.040229099643559626531263972993,22,200,10
40,40_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.775996208200000037180643630563,73,0.012487944883151046171487763559,23,104,102
41,41_0,COMPLETED,BOTORCH_MODULAR,0.305263157900000026145903575525,3.437296628999999992259972714237,188,0.012609635738604459825884518409,25,87,79
42,42_0,COMPLETED,BOTORCH_MODULAR,0.368421052600000020760262486874,1.122415065800000055773466556275,18,0.011708715093221846656468265735,23,77,128
43,43_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.766944170000000036147014270682,10,0.041794599755004151198090056596,24,10,130
44,44_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.018522739400000043374916458561,19,0.020510765699027065644965972524,25,182,194
45,45_0,COMPLETED,BOTORCH_MODULAR,0.242105263200000003775969048547,3.618915557899999857482953302679,117,0.012187045098319892674765263507,23,92,82
46,46_0,COMPLETED,BOTORCH_MODULAR,0.315789473699999989619868756563,1.063736200299999934415495772555,34,0.011828131868103237273048833345,24,87,89
47,47_0,COMPLETED,BOTORCH_MODULAR,0.215789473700000011824329249066,2.546552419700000235991410590941,95,0.020062690100526369557654149389,28,186,204
48,48_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.057872533799999903436628301279,14,0.050000000000000002775557561563,24,36,156
49,49_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.705169439300000089332343122805,109,0.023003483708627779635857990570,32,196,237
50,50_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.487117528900000040792406252876,10,0.030294553668301638094106920107,23,34,109
51,51_0,COMPLETED,BOTORCH_MODULAR,0.278947368400000006438688160415,4.373212814300000417233604821377,148,0.012716638728482710513079112502,23,96,100
52,52_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.753783225999999917377181191114,48,0.023474166507225082550780470569,28,182,237
53,53_0,COMPLETED,BOTORCH_MODULAR,0.257894736800000023979606567082,2.163968324699999890015078563010,56,0.010779110452620895357900288047,23,92,74
54,54_0,COMPLETED,BOTORCH_MODULAR,0.326315789500000008604985168859,5.537721157100000013429053069558,204,0.012717373101202031696055350096,22,91,91
55,55_0,COMPLETED,BOTORCH_MODULAR,0.410526315800000041189576904799,0.863895893100000034081631383742,13,0.013528433386812603947402244842,23,118,94
56,56_0,COMPLETED,BOTORCH_MODULAR,0.221052631600000021316887455214,4.166009902999999958694843371632,191,0.012491569013170210691865413821,21,77,64
57,57_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.763504028300000081586063060968,10,0.050000000000000002775557561563,26,89,138
58,58_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.216337919199999895170094532659,16,0.008889030710019398331955819970,10,160,18
59,59_0,COMPLETED,BOTORCH_MODULAR,0.352631578900000020038163484060,1.640810489699999985546696734673,60,0.019562886370738347824316250012,32,169,250
60,60_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.520655631999999979342419464956,83,0.023447807233058726161800677801,29,88,15
61,61_0,COMPLETED,BOTORCH_MODULAR,0.384210526300000021482361489689,0.763229131700000062998867633723,10,0.001000000000000000020816681712,26,96,36
62,62_0,COMPLETED,BOTORCH_MODULAR,0.226315789500000003053870045733,2.272576808900000244761940848548,120,0.020046138464022755787397045424,29,185,93
63,63_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.713826656299999973143144416099,10,0.050000000000000002775557561563,26,23,10
64,64_0,COMPLETED,BOTORCH_MODULAR,0.284210526299999988175670750934,4.900057792700000192098741536029,224,0.017148417607547396940281814182,31,72,115
65,65_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.484973907500000134263018480851,10,0.050000000000000002775557561563,26,62,29
66,66_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.483070135100000186412216862664,133,0.043437927915202054207632897942,31,171,171
67,67_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.411657571799999955075577418029,58,0.001000000000000000020816681712,28,90,10
68,68_0,COMPLETED,BOTORCH_MODULAR,0.252631578899999986731472745305,3.237952947600000186412216862664,132,0.016557459846981821549594116050,30,79,16
69,69_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,3.017760515199999993285473465221,122,0.050000000000000002775557561563,30,169,10
70,70_0,COMPLETED,BOTORCH_MODULAR,0.315789473699999989619868756563,3.042222499799999813063777764910,116,0.001000000000000000020816681712,29,186,10
71,71_0,COMPLETED,BOTORCH_MODULAR,0.342105263200000009327084171673,3.288123607600000219974845094839,137,0.001000000000000000020816681712,30,172,41
72,72_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.760960817299999980889424477937,86,0.050000000000000002775557561563,29,87,186
73,73_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.584206581100000121864468383137,107,0.050000000000000002775557561563,29,186,11
74,74_0,COMPLETED,BOTORCH_MODULAR,0.421052631600000004663542085837,0.643728494600000034076003885275,10,0.001000000000000000020816681712,26,67,10
75,75_0,COMPLETED,BOTORCH_MODULAR,0.510526315799999963473965181038,1.823503494300000138395034809946,93,0.001000000000000000020816681712,29,87,10
76,76_0,COMPLETED,BOTORCH_MODULAR,0.221052631600000021316887455214,2.869902610800000086754835137981,157,0.031476710608913133215835955525,30,172,46
77,77_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.752912759800000053189705795376,10,0.050000000000000002775557561563,26,150,10
78,78_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.571944236800000060938486967643,62,0.050000000000000002775557561563,28,89,10
79,79_0,COMPLETED,BOTORCH_MODULAR,0.252631578899999986731472745305,3.692725419999999925124711808166,228,0.050000000000000002775557561563,31,74,45
80,80_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.430382490199999967472876960528,62,0.024354375580071800644343937847,27,97,95
81,81_0,COMPLETED,BOTORCH_MODULAR,0.347368421099999991064066762192,0.941323280300000009290783964389,10,0.017149285711075490379329266943,12,14,129
82,82_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.558396339399999996899737197964,10,0.028685409848040573782546047710,26,10,10
83,83_0,COMPLETED,BOTORCH_MODULAR,0.289473684200000025423804572711,1.737398386000000183315705726272,10,0.023348845891819115100362935777,12,36,10
84,84_0,COMPLETED,BOTORCH_MODULAR,0.278947368400000006438688160415,3.944154262500000118762955025886,152,0.021278412796994605749034690234,29,115,111
85,85_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.948379754999999935449750410044,72,0.024674582417528918149018934969,27,172,112
86,86_0,COMPLETED,BOTORCH_MODULAR,0.215789473700000011824329249066,3.611856699000000059385229178588,150,0.017651294055569016067108734092,32,200,146
87,87_0,COMPLETED,BOTORCH_MODULAR,0.284210526299999988175670750934,2.595558404900000226689371629618,52,0.011854711269056725231330062797,11,19,20
88,88_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.591236829800000140977545015630,113,0.023156508498210597035704694235,29,99,89
89,89_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,3.011938095100000101211890068953,99,0.015078150046465635392145543392,13,10,54
90,90_0,COMPLETED,BOTORCH_MODULAR,0.257894736800000023979606567082,1.273763656599999904983633314259,31,0.027261789306212220324043826736,26,182,118
91,91_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.962592124900000012388545655995,10,0.015841903998201505021636847914,10,10,10
92,92_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.558205604599999904991136645549,10,0.028851731090408856000850690293,26,98,10
93,93_0,COMPLETED,BOTORCH_MODULAR,0.231578947400000012546428251881,0.947378397000000038730149753974,10,0.050000000000000002775557561563,13,75,78
94,94_0,COMPLETED,BOTORCH_MODULAR,0.226315789500000003053870045733,3.702167272600000114124441097374,169,0.017751023338965266767930373248,30,200,146
95,95_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.282143354400000045956176109030,91,0.023627969609734653794186343134,28,184,112
96,96_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.047719717000000105855406218325,10,0.050000000000000002775557561563,10,173,10
97,97_0,COMPLETED,BOTORCH_MODULAR,0.315789473699999989619868756563,1.668378829999999979349922796246,31,0.012401364616224591977400315557,12,29,60
98,98_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.273831129099999959208844302339,32,0.027051692162244365957857183957,24,10,25
99,99_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.076990365999999976764911480132,44,0.020050887158898047374355755323,12,15,67
100,100_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.193447828300000068679764808621,10,0.050000000000000002775557561563,10,35,200
101,101_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.209752082800000128059991766349,10,0.050000000000000002775557561563,9,10,68
102,102_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,3.449851512900000027883606890100,131,0.016430577921525350848508395529,32,200,243
103,103_0,COMPLETED,BOTORCH_MODULAR,0.263157894700000005716589157601,0.835055828100000008262782102975,10,0.023491395760962211630706875098,11,189,53
104,104_0,COMPLETED,BOTORCH_MODULAR,0.263157894700000005716589157601,2.244264364200000194671247299993,127,0.020739689812058155482521470958,32,200,10
105,105_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.458867549899999893625590630108,10,0.050000000000000002775557561563,6,123,20
106,106_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.176179170599999990187711773615,10,0.047742087769211828673920905430,12,10,82
107,107_0,COMPLETED,BOTORCH_MODULAR,0.242105263200000003775969048547,2.863991022100000005679021342075,163,0.019883343943207357207292318435,32,190,39
108,108_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.323360681500000080035306382342,10,0.050000000000000002775557561563,7,10,205
109,109_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.856078386299999993802600783965,11,0.025690124472306490738260364992,26,200,171
110,110_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.314529895800000014460806596617,10,0.036331881868051071893255254963,11,200,65
111,111_0,COMPLETED,BOTORCH_MODULAR,0.315789473699999989619868756563,0.816945076000000103277898233500,10,0.016508750052996536833438412373,18,45,244
112,112_0,COMPLETED,BOTORCH_MODULAR,0.221052631600000021316887455214,2.030216932300000109989923657849,89,0.018097737580686480696190443496,32,200,95
113,113_0,COMPLETED,BOTORCH_MODULAR,0.310526315800000007882886166044,2.288888216000000142003045766614,81,0.019895470131600485885758899940,27,200,28
114,114_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.986978530899999983994064223225,10,0.050000000000000002775557561563,30,171,250
115,115_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.233820676799999960238096718967,10,0.032868720317230239180705808621,11,186,194
116,116_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,4.136128187199999750589540781220,164,0.019772492006517743828863942213,32,193,249
117,117_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.891375064800000060927231970709,10,0.050000000000000002775557561563,11,10,10
118,118_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.927001237899999996905364696431,10,0.039495251684349801102325017155,9,16,39
119,119_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.917452096900000069190639351291,10,0.050000000000000002775557561563,12,44,196
120,120_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.961635589600000173504668055102,60,0.018724751264986998905426318629,15,200,63
121,121_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,1.165089607200000099140879683546,46,0.019636691654782476024188042629,27,175,51
122,122_0,COMPLETED,BOTORCH_MODULAR,0.268421052599999987453571748119,1.134134292599999982442682266992,17,0.019311192589743574749006072011,11,200,33
123,123_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.684793472299999983476936904481,10,0.020289979453341152465517538417,27,189,19
124,124_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,3.185339450799999916341675998410,119,0.016795952194704633769761770168,16,199,39
125,125_0,COMPLETED,BOTORCH_MODULAR,0.278947368400000006438688160415,4.688669919999999713411398261087,139,0.015593483628587537920262562352,32,174,109
126,126_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.325043439899999953013320919126,61,0.019681443920676906095268421382,29,185,22
127,127_0,COMPLETED,BOTORCH_MODULAR,0.289473684200000025423804572711,3.341300249100000119284459287883,164,0.014750580257019483068625653743,31,200,112
128,128_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,2.897114515300000192610241356306,150,0.013271199492865393479434921176,32,26,78
129,129_0,COMPLETED,BOTORCH_MODULAR,0.236842105300000022038986458028,4.237313032200000328941769112134,112,0.016946338379426009734807223595,30,141,80
130,130_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,4.762333869899999960750847094459,117,0.017276877354457587793179484947,15,190,119
131,131_0,COMPLETED,BOTORCH_MODULAR,0.263157894700000005716589157601,1.701411008800000068674762587762,78,0.018491653530324711485199884464,29,189,75
132,132_0,COMPLETED,BOTORCH_MODULAR,0.315789473699999989619868756563,0.681000471100000059898604831687,10,0.018294870581433541473215242945,27,10,10
133,133_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.650157213199999972630394040607,87,0.018009016610147532411190240964,15,194,96
134,134_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.620421171200000287626608042046,10,0.026468545962785056113730774996,26,33,205
135,135_0,COMPLETED,BOTORCH_MODULAR,0.226315789500000003053870045733,1.477757215500000054220208767219,62,0.018737899561467409592641075733,27,189,79
136,136_0,COMPLETED,BOTORCH_MODULAR,0.247368421100000013268527254695,2.498099088700000081075813795906,118,0.016263889479824576028699212316,31,196,94
137,137_0,COMPLETED,BOTORCH_MODULAR,0.263157894700000005716589157601,0.920560598400000040797408473736,10,0.020937476558996102882215240015,14,200,71
138,138_0,COMPLETED,BOTORCH_MODULAR,0.221052631600000021316887455214,2.666645526900000007231028575916,104,0.017876628784726584370234903076,30,198,97
139,139_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.399690628100000111544432002120,20,0.025707450850959490118441408413,9,200,10
140,140_0,COMPLETED,BOTORCH_MODULAR,0.326315789500000008604985168859,0.970977544799999980895677254011,17,0.025787306336975738402239599623,14,92,27
141,141_0,COMPLETED,BOTORCH_MODULAR,0.394736842100000040467477901984,1.126051664400000040799909584166,18,0.001061252332202752010972823804,13,56,20
142,142_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.948063850400000074358786150697,16,0.015643732248158407488469734403,16,78,17
143,143_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.921512126900000061446860399883,10,0.040883604531681543015064761448,16,86,10
144,144_0,COMPLETED,BOTORCH_MODULAR,0.478947368400000017540918406667,1.111712932599999925642464404518,10,0.001000000000000000020816681712,11,64,169
145,145_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.552222251899999960755849315319,77,0.019519912345667311120989140250,16,87,11
146,146_0,COMPLETED,BOTORCH_MODULAR,0.300000000000000044408920985006,1.232462644599999990191463439260,22,0.007082595292686641973156635999,12,76,49
147,147_0,COMPLETED,BOTORCH_MODULAR,0.289473684200000025423804572711,0.943683624300000079010430908966,10,0.027454839342000453977776786019,14,89,114
148,148_0,COMPLETED,BOTORCH_MODULAR,0.578947368400000050847609145421,1.190670013400000115666443889495,10,0.001000000000000000020816681712,8,18,250
149,149_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.132295846899999958168336888775,39,0.001000000000000000020816681712,10,84,14
150,150_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,0.714917898200000068165138600307,10,0.022553174550773283368876320765,32,200,119
151,151_0,COMPLETED,BOTORCH_MODULAR,0.200000000000000011102230246252,1.807430505799999975735659063503,37,0.017935924083963161734800451086,15,88,92
152,152_0,COMPLETED,BOTORCH_MODULAR,0.294736842100000007160787163230,0.804959774000000072291527430934,10,0.034417014208366215888279526780,15,82,49
153,153_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.025025844600000013429053069558,10,0.050000000000000002775557561563,14,92,12
154,154_0,COMPLETED,BOTORCH_MODULAR,0.336842105300000027590101581154,1.008986234700000039765654946677,10,0.024547582277012529317072875301,12,87,21
155,155_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,1.024292707399999891038078203565,10,0.001000000000000000020816681712,15,91,35
156,156_0,COMPLETED,BOTORCH_MODULAR,0.347368421099999991064066762192,1.097902297999999943201032692741,17,0.021659113665713748686503237195,14,88,245
157,157_0,COMPLETED,BOTORCH_MODULAR,0.310526315800000007882886166044,2.502891540500000289171111944597,94,0.003435905871596365342840462276,17,51,72
158,158_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.418259382200000029428110792651,93,0.027617420239104382290173944625,20,74,17
159,159_0,COMPLETED,BOTORCH_MODULAR,0.405263157900000003941443083022,1.353239536300000045443425733538,26,0.001000000000000000020816681712,15,55,114
160,160_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.969244957000000018076946162182,10,0.029956690706734758616880398563,14,10,250
161,161_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.989775419200000006192396995175,10,0.017768889785998810693090632640,13,168,131
162,162_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.701244115799999789828689245041,136,0.022891151804476480430272644639,32,200,60
163,163_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,1.178179264099999956627584651869,10,0.019491423888968992944592528715,11,159,91
164,164_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.145399331999999992248717717302,10,0.027740755800228958372066756510,11,29,170
165,165_0,COMPLETED,BOTORCH_MODULAR,0.231578947400000012546428251881,1.523143529900000014976058082539,70,0.018204764014890701534499228842,32,192,86
166,166_0,COMPLETED,BOTORCH_MODULAR,0.221052631600000021316887455214,3.007461070999999819264303368982,155,0.021615488247461796256221333579,32,195,88
167,167_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.770430088000000012904422419524,10,0.050000000000000002775557561563,18,200,190
168,168_0,COMPLETED,BOTORCH_MODULAR,0.242105263200000003775969048547,2.438124418300000151305084727937,118,0.021650372598104844490407572266,32,200,111
169,169_0,COMPLETED,BOTORCH_MODULAR,0.315789473699999989619868756563,0.925401210800000040279655877384,16,0.022905034736391358812790386423,17,10,76
170,170_0,COMPLETED,BOTORCH_MODULAR,0.331578947399999990341967759377,0.991732597400000082110693711002,10,0.019452611616455721399443490327,14,127,78
171,171_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,0.910957574800000058345972320240,10,0.050000000000000002775557561563,11,178,158
172,172_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.033042669300000104826153801696,10,0.025617803595761497181815258273,11,152,172
173,173_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.940626859700000039765654946677,10,0.038253316782336413415244180669,18,176,234
174,174_0,COMPLETED,BOTORCH_MODULAR,0.326315789500000008604985168859,1.164854526500000098110376711702,10,0.018765202179245779601224342059,8,166,64
175,175_0,COMPLETED,BOTORCH_MODULAR,0.352631578900000020038163484060,0.682196140299999975731282120250,10,0.011338744144401469507443813711,32,200,92
176,176_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.300424337399999963338359521003,24,0.050000000000000002775557561563,16,177,104
177,177_0,COMPLETED,BOTORCH_MODULAR,0.410526315800000041189576904799,1.408742427800000029947113944218,56,0.017009371969744415536984760706,32,200,50
178,178_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,0.946992874099999992765219758439,10,0.026946790375043955939604600758,16,177,207
179,179_0,COMPLETED,BOTORCH_MODULAR,0.236842105300000022038986458028,1.912581920600000096044368547155,80,0.018585536349393860788836718712,32,198,99
180,180_0,COMPLETED,BOTORCH_MODULAR,0.273684210500000024701705569896,2.348089695000000087787839220255,106,0.017623223741117320650939603865,32,159,120
181,181_0,COMPLETED,BOTORCH_MODULAR,0.247368421100000013268527254695,1.555796861599999969527630128141,64,0.019900518974559466833795795537,31,163,125
182,182_0,COMPLETED,BOTORCH_MODULAR,0.247368421100000013268527254695,1.422619581199999982956683197699,42,0.021468095111901893540240493508,31,192,120
183,183_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.422630786900000110506425698986,56,0.022216501608706012288463327309,32,188,128
184,184_0,COMPLETED,BOTORCH_MODULAR,0.294736842100000007160787163230,2.094612836800000099657381724683,84,0.019325771645218269706445468614,30,200,131
185,185_0,COMPLETED,BOTORCH_MODULAR,0.336842105300000027590101581154,2.670619010899999867802989683696,127,0.016933899515932767515513646117,32,194,105
186,186_0,COMPLETED,BOTORCH_MODULAR,0.331578947399999990341967759377,0.890026807799999986059447110165,14,0.022928269519312705071456548467,30,14,104
187,187_0,COMPLETED,BOTORCH_MODULAR,0.242105263200000003775969048547,2.792998790700000011355541573721,144,0.016127340832510127233145880155,32,192,110
188,188_0,COMPLETED,BOTORCH_MODULAR,0.442105263200000042633774910428,0.801886320100000049571065119380,10,0.021734366415389429205706761650,30,200,56
189,189_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,1.847129344899999914275667833863,10,0.020691500205523242345018175570,18,90,35
190,190_0,COMPLETED,BOTORCH_MODULAR,0.352631578900000020038163484060,1.084817647900000014971055861679,10,0.023843443728795186281610440915,9,11,68
191,191_0,COMPLETED,BOTORCH_MODULAR,0.347368421099999991064066762192,1.439360618600000085720580500492,51,0.019040889204281971625043468066,30,200,98
192,192_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.813874483100000212232316698646,135,0.020475371830564852160261324343,32,200,113
193,193_0,COMPLETED,BOTORCH_MODULAR,0.321052631600000026868002578340,2.328497171400000009811037671170,110,0.017291205682982757618759706020,32,200,113
194,194_0,COMPLETED,BOTORCH_MODULAR,0.357894736800000001775146074579,0.934349060100000072814907525753,10,0.019895452748393424591277778291,11,10,53
195,195_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,3.311575174300000146132560985279,171,0.018585681196428387174091056977,32,198,101
196,196_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,2.001246213900000014973556972109,95,0.018159283779773851413841256885,32,200,131
197,197_0,COMPLETED,BOTORCH_MODULAR,0.226315789500000003053870045733,2.207379579499999966429868436535,102,0.016068808732370855330007231032,28,200,126
198,198_0,COMPLETED,BOTORCH_MODULAR,0.284210526299999988175670750934,1.644353866599999935971254672040,73,0.018146645925216375178079530883,32,187,146
199,199_0,COMPLETED,BOTORCH_MODULAR,0.363157894700000039023279896355,0.705983161899999989152831858519,10,0.050000000000000002775557561563,32,183,133
200,200_0,COMPLETED,BOTORCH_MODULAR,0.300000000000000044408920985006,1.192832708358764648437500000000,30,0.019898438983747410851998793646,31,200,95
201,201_0,COMPLETED,BOTORCH_MODULAR,0.300000000000000044408920985006,1.923238277435302734375000000000,94,0.017641194053718795703433741551,32,12,98
202,202_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,2.401000738143920898437500000000,121,0.016332392286982064244504897488,32,21,115
203,203_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,1.369474172592163085937500000000,51,0.019481671995773039429700190794,30,47,79
204,204_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.072094678878784179687500000000,30,0.022170258518334942654526287242,30,10,136
205,205_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.340576171875000000000000000000,139,0.016550753854827963268414592335,32,10,103
206,206_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,2.604638099670410156250000000000,165,0.012286853000221597403962547901,32,54,121
207,207_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.974573612213134765625000000000,30,0.019655361788151338997554518073,32,200,33
208,208_0,COMPLETED,BOTORCH_MODULAR,0.231578947368421106389746455534,3.009274244308471679687500000000,180,0.012009140475680819132309196107,32,111,115
209,209_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.935187101364135742187500000000,30,0.039909870793623208884426389886,32,26,223
210,210_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,0.951057195663452148437500000000,30,0.020554779394848385343230745548,29,200,68
211,211_0,COMPLETED,BOTORCH_MODULAR,0.310526315789473650319507669337,0.939804077148437500000000000000,30,0.021202054519270433635691475160,32,33,82
212,212_0,COMPLETED,BOTORCH_MODULAR,0.300000000000000044408920985006,3.050153732299804687500000000000,163,0.011895236203000245089889119754,32,200,129
213,213_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,2.733218193054199218750000000000,186,0.013970129678911275689090487617,32,23,52
214,214_0,COMPLETED,BOTORCH_MODULAR,0.242105263157894712300333139865,0.899345636367797851562500000000,30,0.035468834406224364341753130248,32,10,10
215,215_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.092250823974609375000000000000,214,0.009471266118845364859191171547,32,10,79
216,216_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,1.478328943252563476562500000000,74,0.020068303733707670150065993653,32,13,92
217,217_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.084228992462158203125000000000,30,0.038873360982417670683730648307,31,200,10
218,218_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,0.875213146209716796875000000000,30,0.045672639691522715077454108723,31,10,10
219,219_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.267510890960693359375000000000,30,0.050000000000000002775557561563,17,200,250
220,220_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.926344633102416992187500000000,30,0.020381871069787949046769881534,30,109,33
221,221_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,1.760867834091186523437500000000,108,0.036171952772273779919132152827,32,11,20
222,222_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.005933284759521484375000000000,33,0.025769899647995413161094546695,32,79,93
223,223_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.877017498016357421875000000000,30,0.050000000000000002775557561563,32,10,93
224,224_0,COMPLETED,BOTORCH_MODULAR,0.326315789473684225718841389607,1.162536621093750000000000000000,41,0.017904379589092085656165664886,32,172,99
225,225_0,COMPLETED,BOTORCH_MODULAR,0.336842105263157942651730536454,0.907772779464721679687500000000,30,0.020736385834958737106603621214,32,29,20
226,226_0,COMPLETED,BOTORCH_MODULAR,0.326315789473684225718841389607,2.556581020355224609375000000000,143,0.016495326861486307029602826901,32,109,117
227,227_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.760040283203125000000000000000,107,0.050000000000000002775557561563,32,10,10
228,228_0,COMPLETED,BOTORCH_MODULAR,0.242105263157894712300333139865,0.984133243560791015625000000000,30,0.022998537805818172058414106118,32,156,101
229,229_0,COMPLETED,BOTORCH_MODULAR,0.347368421052631548562317220785,1.608012676239013671875000000000,74,0.017863615331536027153180867799,32,199,85
230,230_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,1.935183525085449218750000000000,103,0.016004014710583526481801897035,32,165,96
231,231_0,COMPLETED,BOTORCH_MODULAR,0.373684210526315840894540087902,1.095528125762939453125000000000,30,0.050000000000000002775557561563,19,10,10
232,232_0,COMPLETED,BOTORCH_MODULAR,0.268421052631578893610253544466,2.995561599731445312500000000000,182,0.016032462899243402759674737013,32,90,100
233,233_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,2.703850984573364257812500000000,189,0.035684805429075858174137181322,32,19,10
234,234_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.010335922241210937500000000000,99,0.020581595071857222700728584641,32,197,100
235,235_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.301907300949096679687500000000,51,0.031778873024982140504945959947,32,136,113
236,236_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,3.617712020874023437500000000000,187,0.013309925887217174955701182171,32,173,125
237,237_0,COMPLETED,BOTORCH_MODULAR,0.368421052631578982428095514479,1.628746271133422851562500000000,83,0.014318799402811442297855926142,32,200,56
238,238_0,COMPLETED,BOTORCH_MODULAR,0.336842105263157942651730536454,1.456685066223144531250000000000,61,0.016640736066235142093239218752,32,170,102
239,239_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,3.181961059570312500000000000000,210,0.013547929742508291184321933542,32,35,110
240,240_0,COMPLETED,BOTORCH_MODULAR,0.199999999999999955591079014994,3.276251077651977539062500000000,219,0.012160325544900416061544490276,32,42,146
241,241_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.118723154067993164062500000000,207,0.050000000000000002775557561563,32,10,145
242,242_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,1.859627485275268554687500000000,106,0.016348164552907020613536914766,32,13,106
243,243_0,COMPLETED,BOTORCH_MODULAR,0.263157894736842146166111433558,3.069883346557617187500000000000,205,0.008256047717776932373667797549,32,28,123
244,244_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,2.812276363372802734375000000000,188,0.012487917716030479120536966775,32,18,130
245,245_0,COMPLETED,BOTORCH_MODULAR,0.336842105263157942651730536454,3.868175268173217773437500000000,211,0.011965517785828386904123377121,32,190,151
246,246_0,COMPLETED,BOTORCH_MODULAR,0.331578947368421084185285963031,3.561429500579833984375000000000,233,0.007758253860415229193059349910,32,10,188
247,247_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.980800151824951171875000000000,30,0.050000000000000002775557561563,32,81,10
248,248_0,COMPLETED,BOTORCH_MODULAR,0.294736842105263185942476411583,3.763538599014282226562500000000,292,0.001000000000000000020816681712,32,10,56
249,249_0,COMPLETED,BOTORCH_MODULAR,0.310526315789473650319507669337,3.243189811706542968750000000000,200,0.001000000000000000020816681712,32,10,250
250,250_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,2.534224748611450195312500000000,153,0.015233330753900620538332510989,32,18,109
251,251_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.040663957595825195312500000000,203,0.011154254297643094798186957917,32,24,166
252,252_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.948834180831909179687500000000,30,0.030113015593171338357691979581,32,196,75
253,253_0,COMPLETED,BOTORCH_MODULAR,0.310526315789473650319507669337,1.371234178543090820312500000000,48,0.020468740002209162565094402453,32,199,113
254,254_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.350886106491088867187500000000,58,0.019498918323747917863419942819,32,28,105
255,255_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.629742622375488281250000000000,170,0.014493020193629141054159070734,32,20,111
256,256_0,COMPLETED,BOTORCH_MODULAR,0.294736842105263185942476411583,3.457137823104858398437500000000,208,0.010925409707129690381477438166,32,153,102
257,257_0,COMPLETED,BOTORCH_MODULAR,0.289473684210526327476031838160,2.908807992935180664062500000000,204,0.001000000000000000020816681712,32,10,84
258,258_0,COMPLETED,BOTORCH_MODULAR,0.289473684210526327476031838160,2.019150495529174804687500000000,105,0.015911362509449564206498450858,32,199,97
259,259_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.743894577026367187500000000000,247,0.015427539340393647826488177088,32,12,60
260,260_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,2.305020093917846679687500000000,130,0.016031243576997509375781092444,32,102,98
261,261_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,2.118621587753295898437500000000,95,0.018217752106780817078490741778,32,130,76
262,262_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,1.634770154953002929687500000000,75,0.019417145510611934916544996099,32,138,97
263,263_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.030356645584106445312500000000,208,0.022802024168762754369188527903,32,47,10
264,264_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.341921806335449218750000000000,55,0.019816536830494405063696206071,32,142,88
265,265_0,COMPLETED,BOTORCH_MODULAR,0.326315789473684225718841389607,2.753600597381591796875000000000,154,0.013858708114209765741020596863,32,125,98
266,266_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,3.001998186111450195312500000000,184,0.015054103424121664106527518356,32,129,144
267,267_0,COMPLETED,BOTORCH_MODULAR,0.231578947368421106389746455534,1.419079303741455078125000000000,30,0.020238451374317727171625591609,15,190,91
268,268_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.949389696121215820312500000000,30,0.023738843474589127469087657119,32,115,16
269,269_0,COMPLETED,BOTORCH_MODULAR,0.315789473684210508785952242761,3.432787895202636718750000000000,229,0.001000000000000000020816681712,32,10,134
270,270_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,1.488916397094726562500000000000,30,0.022971421311803245229876679900,13,198,113
271,271_0,COMPLETED,BOTORCH_MODULAR,0.242105263157894712300333139865,3.315139532089233398437500000000,186,0.008698764257474530733893480772,32,126,96
272,272_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.492541790008544921875000000000,64,0.020598133767987431702595202410,32,176,110
273,273_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,2.360139131546020507812500000000,121,0.016185071175609216931334799483,32,119,139
274,274_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,2.794326782226562500000000000000,150,0.011826960355076108349914321138,32,161,106
275,275_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,2.683451175689697265625000000000,132,0.013683026348733190805107007293,32,142,109
276,276_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.953714609146118164062500000000,30,0.050000000000000002775557561563,32,200,10
277,277_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.239566326141357421875000000000,198,0.013607279403578509055505740832,32,121,93
278,278_0,COMPLETED,BOTORCH_MODULAR,0.257894736842105287699666860135,1.712974548339843750000000000000,86,0.018230091455694100860407402820,32,123,113
279,279_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.617125034332275390625000000000,32,0.027771371331496944034888940678,12,76,228
280,280_0,COMPLETED,BOTORCH_MODULAR,0.326315789473684225718841389607,2.576086044311523437500000000000,136,0.014919215829082628499424600932,32,186,146
281,281_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,2.468121290206909179687500000000,120,0.014108252398983186712277948516,32,200,142
282,282_0,COMPLETED,BOTORCH_MODULAR,0.294736842105263185942476411583,2.909593105316162109375000000000,215,0.005216954315330818089946340876,32,10,32
283,283_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.935355663299560546875000000000,30,0.015718812872129873936533073220,30,194,14
284,284_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.984181404113769531250000000000,30,0.039833764435813170945444028348,31,200,87
285,285_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,1.424782514572143554687500000000,64,0.018965664955668402186228505002,32,200,144
286,286_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,3.347358942031860351562500000000,120,0.018496961401915753414604282057,19,187,139
287,287_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.010357856750488281250000000000,30,0.022342468861101864169294017870,32,200,137
288,288_0,COMPLETED,BOTORCH_MODULAR,0.289473684210526327476031838160,1.880114555358886718750000000000,89,0.015269298682208356371381441363,32,195,103
289,289_0,COMPLETED,BOTORCH_MODULAR,0.452631578947368384824301301705,3.420396327972412109375000000000,227,0.001000000000000000020816681712,32,38,196
290,290_0,COMPLETED,BOTORCH_MODULAR,0.284210526315789469009587264736,0.994642734527587890625000000000,30,0.017155531253593037099847151694,31,193,164
291,291_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.830907344818115234375000000000,55,0.018394745528626223196599909215,18,184,122
292,292_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,1.260062932968139648437500000000,48,0.016877951308250382228548502894,32,183,133
293,293_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.489496946334838867187500000000,129,0.018595544641259908330566119616,32,193,141
294,294_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.343246936798095703125000000000,56,0.017615285996300300563888185934,32,200,107
295,295_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,0.999964714050292968750000000000,30,0.050000000000000002775557561563,24,10,125
296,296_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,2.240848541259765625000000000000,81,0.018935393164517727582207839987,24,199,124
297,297_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.924317598342895507812500000000,30,0.015479822712750588437069509951,32,177,10
298,298_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.280772447586059570312500000000,30,0.018477885768515289049984673397,18,200,126
299,299_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.986224889755249023437500000000,210,0.050000000000000002775557561563,32,29,10
300,300_0,COMPLETED,BOTORCH_MODULAR,0.336842105263157942651730536454,3.006114482879638671875000000000,153,0.015065679000057135075718584005,32,182,122
301,301_0,COMPLETED,BOTORCH_MODULAR,0.300000000000000044408920985006,1.249327659606933593750000000000,45,0.018101077938202911332687961021,32,190,93
302,302_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.114945173263549804687500000000,30,0.050000000000000002775557561563,25,200,10
303,303_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,3.079029560089111328125000000000,161,0.012284212241267293552748895991,32,161,88
304,304_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,1.181870460510253906250000000000,38,0.021202331242262048571767252270,26,196,80
305,305_0,COMPLETED,BOTORCH_MODULAR,0.273684210526315752076698117889,1.666772603988647460937500000000,82,0.018867281424095317526878901049,32,192,128
306,306_0,COMPLETED,BOTORCH_MODULAR,0.336842105263157942651730536454,3.322227478027343750000000000000,173,0.017750820588545716122164108697,32,193,134
307,307_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.579926490783691406250000000000,44,0.018959947926605411755440755428,18,186,118
308,308_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.162038087844848632812500000000,30,0.025216675326758732078591407344,19,32,204
309,309_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.473897933959960937500000000000,40,0.035863637612629430118094120417,15,40,64
310,310_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,2.580523729324340820312500000000,156,0.014568025061819785473393729092,32,188,69
311,311_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,3.111324310302734375000000000000,223,0.011519501287698567792983084246,32,30,32
312,312_0,COMPLETED,BOTORCH_MODULAR,0.310526315789473650319507669337,0.896097660064697265625000000000,30,0.050000000000000002775557561563,28,10,10
313,313_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,0.937349081039428710937500000000,30,0.017612355754452409944965651789,32,195,60
314,314_0,RUNNING,BOTORCH_MODULAR,,,157,0.014438611057004696602845683628,16,152,108
</pre>
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<script>
createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
<h1> Progressbar log</h1>
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<pre id='simple_pre_tab_tab_progressbar_log'>2025-05-28 12:08:49: SOBOL, Started OmniOpt2 run...
2025-05-28 12:09:35: SOBOL, 200 done, getting new HP set
2025-05-28 12:09:38: SOBOL, 200 done, requested 1 jobs, got 1, 42.06533455848694 s/job
2025-05-28 12:09:40: SOBOL, 200 done, eval #1/1 start
2025-05-28 12:09:43: SOBOL, 200 done, starting new job
2025-05-28 12:09:47: SOBOL, 200 done, unknown 1∑1 (5%/20), started new job
2025-05-28 12:10:25: SOBOL, 200 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:10:27: SOBOL, 200 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 34.90947246551514 s/job
2025-05-28 12:10:29: SOBOL, 200 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:10:32: SOBOL, 200 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:10:38: SOBOL, 200 done, completed/pending 1/1∑2 (5%/20), started new job
2025-05-28 12:10:40: SOBOL, 200 done, completed/running 1/1∑2 (5%/20), new result: 0.30000000000000004
2025-05-28 12:10:50: SOBOL, 201 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:11:24: SOBOL, 201 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:11:27: SOBOL, 201 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 34.76105737686157 s/job
2025-05-28 12:11:29: SOBOL, 201 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:11:31: SOBOL, 201 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:11:36: SOBOL, 201 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:11:39: SOBOL, 201 done, completed/running 1/1∑2 (5%/20), new result: 0.30000000000000004
2025-05-28 12:11:48: SOBOL, 202 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:12:29: SOBOL, 202 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:12:31: SOBOL, 202 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 39.792250871658325 s/job
2025-05-28 12:12:33: SOBOL, 202 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:12:36: SOBOL, 202 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:12:40: SOBOL, 202 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:12:42: SOBOL, 202 done, completed/pending 1/1∑2 (5%/20), new result: 0.32105263157894737
2025-05-28 12:12:51: SOBOL, 203 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:13:29: SOBOL, 203 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:13:32: SOBOL, 203 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 37.75045299530029 s/job
2025-05-28 12:13:34: SOBOL, 203 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:13:37: SOBOL, 203 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:13:40: SOBOL, 203 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:13:43: SOBOL, 203 done, completed/unknown 1/1∑2 (5%/20), new result: 0.32105263157894737
2025-05-28 12:13:54: SOBOL, 204 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:14:29: SOBOL, 204 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:14:32: SOBOL, 204 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 34.924328327178955 s/job
2025-05-28 12:14:34: SOBOL, 204 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:14:36: SOBOL, 204 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:14:40: SOBOL, 204 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:14:43: SOBOL, 204 done, completed/running 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:14:58: SOBOL, 205 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:15:43: SOBOL, 205 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:15:46: SOBOL, 205 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 39.64238452911377 s/job
2025-05-28 12:15:49: SOBOL, 205 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:15:51: SOBOL, 205 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:15:55: SOBOL, 205 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:15:57: SOBOL, 205 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:16:06: SOBOL, 206 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:16:40: SOBOL, 206 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:16:42: SOBOL, 206 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 33.83498287200928 s/job
2025-05-28 12:16:44: SOBOL, 206 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:16:46: SOBOL, 206 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:16:50: SOBOL, 206 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:16:53: SOBOL, 206 done, completed/running 1/1∑2 (5%/20), new result: 0.2789473684210526
2025-05-28 12:17:05: SOBOL, 207 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:17:39: SOBOL, 207 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:17:42: SOBOL, 207 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 34.24453949928284 s/job
2025-05-28 12:17:45: SOBOL, 207 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:17:48: SOBOL, 207 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:17:51: SOBOL, 207 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:17:55: SOBOL, 207 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:18:05: SOBOL, 208 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:18:35: SOBOL, 208 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:18:37: SOBOL, 208 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 29.302908897399902 s/job
2025-05-28 12:18:39: SOBOL, 208 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:18:41: SOBOL, 208 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:18:45: SOBOL, 208 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:18:48: SOBOL, 208 done, completed/pending 1/1∑2 (5%/20), new result: 0.2315789473684211
2025-05-28 12:18:57: SOBOL, 209 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:19:32: SOBOL, 209 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:19:34: SOBOL, 209 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 35.03401184082031 s/job
2025-05-28 12:19:36: SOBOL, 209 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:19:39: SOBOL, 209 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:19:43: SOBOL, 209 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:19:45: SOBOL, 209 done, completed/unknown 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:19:56: SOBOL, 210 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:20:37: SOBOL, 210 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:20:40: SOBOL, 210 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 42.002588748931885 s/job
2025-05-28 12:20:42: SOBOL, 210 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:20:45: SOBOL, 210 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:20:48: SOBOL, 210 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:20:52: SOBOL, 210 done, completed/pending 1/1∑2 (5%/20), new result: 0.23684210526315785
2025-05-28 12:21:03: SOBOL, 211 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:21:40: SOBOL, 211 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:21:42: SOBOL, 211 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 36.68560552597046 s/job
2025-05-28 12:21:44: SOBOL, 211 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:21:47: SOBOL, 211 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:21:51: SOBOL, 211 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:21:53: SOBOL, 211 done, completed/running 1/1∑2 (5%/20), new result: 0.31052631578947365
2025-05-28 12:22:03: SOBOL, 212 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:22:38: SOBOL, 212 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:22:41: SOBOL, 212 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 34.89450526237488 s/job
2025-05-28 12:22:43: SOBOL, 212 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:22:46: SOBOL, 212 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:22:49: SOBOL, 212 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:22:52: SOBOL, 212 done, completed/pending 1/1∑2 (5%/20), new result: 0.30000000000000004
2025-05-28 12:23:03: SOBOL, 213 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:23:35: SOBOL, 213 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:23:38: SOBOL, 213 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 32.372055530548096 s/job
2025-05-28 12:23:40: SOBOL, 213 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:23:42: SOBOL, 213 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:23:47: SOBOL, 213 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:23:50: SOBOL, 213 done, completed/pending 1/1∑2 (5%/20), new result: 0.21578947368421053
2025-05-28 12:23:59: SOBOL, 214 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:24:32: SOBOL, 214 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:24:35: SOBOL, 214 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 32.79349637031555 s/job
2025-05-28 12:24:38: SOBOL, 214 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:24:41: SOBOL, 214 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:24:44: SOBOL, 214 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:24:47: SOBOL, 214 done, completed/unknown 1/1∑2 (5%/20), new result: 0.2421052631578947
2025-05-28 12:24:58: SOBOL, 215 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:25:34: SOBOL, 215 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:25:41: SOBOL, 215 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 40.61144757270813 s/job
2025-05-28 12:25:45: SOBOL, 215 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:25:48: SOBOL, 215 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:25:51: SOBOL, 215 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:25:56: SOBOL, 215 done, completed/running 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:26:05: SOBOL, 216 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:26:40: SOBOL, 216 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:26:42: SOBOL, 216 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 34.52708649635315 s/job
2025-05-28 12:26:45: SOBOL, 216 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:26:47: SOBOL, 216 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:26:51: SOBOL, 216 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:26:54: SOBOL, 216 done, completed/running 1/1∑2 (5%/20), new result: 0.35789473684210527
2025-05-28 12:27:06: SOBOL, 217 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:27:47: SOBOL, 217 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:27:50: SOBOL, 217 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 40.686482667922974 s/job
2025-05-28 12:27:52: SOBOL, 217 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:27:55: SOBOL, 217 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:27:59: SOBOL, 217 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:28:02: SOBOL, 217 done, completed/unknown 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:28:11: SOBOL, 218 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:28:48: SOBOL, 218 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:28:51: SOBOL, 218 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 36.78685116767883 s/job
2025-05-28 12:28:54: SOBOL, 218 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:28:57: SOBOL, 218 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:29:01: SOBOL, 218 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:29:04: SOBOL, 218 done, completed/pending 1/1∑2 (5%/20), new result: 0.32105263157894737
2025-05-28 12:29:16: SOBOL, 219 done, pending 1∑1 (5%/20), finishing jobs, finished 1 job
2025-05-28 12:29:21: SOBOL, 219 done, pending 1∑1 (5%/20), waiting for 1 job
2025-05-28 12:29:29: SOBOL, 219 done, running 1∑1 (5%/20), waiting for 1 job
2025-05-28 12:29:38: SOBOL, 219 done, running 1∑1 (5%/20), waiting for 1 job
2025-05-28 12:29:46: SOBOL, 219 done, running 1∑1 (0%/20), new result: 0.3631578947368421
2025-05-28 12:29:56: SOBOL, 220 done, waiting for 1 job, finished 1 job
2025-05-28 12:30:37: SOBOL, 220 done, getting new HP set
2025-05-28 12:30:39: SOBOL, 220 done, requested 1 jobs, got 1, 38.97215127944946 s/job
2025-05-28 12:30:42: SOBOL, 220 done, eval #1/1 start
2025-05-28 12:30:44: SOBOL, 220 done, starting new job
2025-05-28 12:30:48: SOBOL, 220 done, unknown 1∑1 (5%/20), started new job
2025-05-28 12:31:25: SOBOL, 220 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:31:28: SOBOL, 220 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 34.893717527389526 s/job
2025-05-28 12:31:31: SOBOL, 220 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:31:33: SOBOL, 220 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:31:37: SOBOL, 220 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:31:40: SOBOL, 220 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:31:50: SOBOL, 221 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:32:37: SOBOL, 221 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:32:40: SOBOL, 221 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 47.704094648361206 s/job
2025-05-28 12:32:44: SOBOL, 221 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:32:47: SOBOL, 221 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:32:51: SOBOL, 221 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:32:54: SOBOL, 221 done, completed/pending 1/1∑2 (5%/20), new result: 0.35789473684210527
2025-05-28 12:33:05: SOBOL, 222 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:33:45: SOBOL, 222 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:33:48: SOBOL, 222 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 40.20804738998413 s/job
2025-05-28 12:33:51: SOBOL, 222 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:33:53: SOBOL, 222 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:33:58: SOBOL, 222 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:34:01: SOBOL, 222 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:34:11: SOBOL, 223 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:34:59: SOBOL, 223 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:35:02: SOBOL, 223 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 48.37917470932007 s/job
2025-05-28 12:35:05: SOBOL, 223 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:35:08: SOBOL, 223 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:35:13: SOBOL, 223 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:35:16: SOBOL, 223 done, completed/unknown 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:35:27: SOBOL, 224 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:36:05: SOBOL, 224 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:36:08: SOBOL, 224 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 38.93632221221924 s/job
2025-05-28 12:36:11: SOBOL, 224 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:36:14: SOBOL, 224 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:36:18: SOBOL, 224 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:36:20: SOBOL, 224 done, completed/unknown 1/1∑2 (5%/20), new result: 0.3263157894736842
2025-05-28 12:36:31: SOBOL, 225 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:37:09: SOBOL, 225 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:37:14: SOBOL, 225 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 38.76098299026489 s/job
2025-05-28 12:37:16: SOBOL, 225 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:37:19: SOBOL, 225 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:37:25: SOBOL, 225 done, completed/pending 1/1∑2 (5%/20), started new job
2025-05-28 12:37:28: SOBOL, 225 done, completed/running 1/1∑2 (5%/20), new result: 0.33684210526315794
2025-05-28 12:37:38: SOBOL, 226 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:38:19: SOBOL, 226 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:38:22: SOBOL, 226 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 41.17653822898865 s/job
2025-05-28 12:38:25: SOBOL, 226 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:38:28: SOBOL, 226 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:38:32: SOBOL, 226 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:38:36: SOBOL, 226 done, completed/pending 1/1∑2 (5%/20), new result: 0.3263157894736842
2025-05-28 12:38:46: SOBOL, 227 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:39:29: SOBOL, 227 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:39:32: SOBOL, 227 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 43.20237684249878 s/job
2025-05-28 12:39:35: SOBOL, 227 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:39:37: SOBOL, 227 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:39:41: SOBOL, 227 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:39:45: SOBOL, 227 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:39:57: SOBOL, 228 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:40:33: SOBOL, 228 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:40:36: SOBOL, 228 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 36.51374936103821 s/job
2025-05-28 12:40:39: SOBOL, 228 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:40:41: SOBOL, 228 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:40:46: SOBOL, 228 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:40:49: SOBOL, 228 done, completed/pending 1/1∑2 (5%/20), new result: 0.2421052631578947
2025-05-28 12:41:00: SOBOL, 229 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:41:47: SOBOL, 229 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:41:50: SOBOL, 229 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 45.968074560165405 s/job
2025-05-28 12:41:52: SOBOL, 229 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:41:55: SOBOL, 229 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:41:59: SOBOL, 229 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:42:02: SOBOL, 229 done, completed/pending 1/1∑2 (5%/20), new result: 0.34736842105263155
2025-05-28 12:42:14: SOBOL, 230 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:42:52: SOBOL, 230 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:42:56: SOBOL, 230 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 38.81199669837952 s/job
2025-05-28 12:42:59: SOBOL, 230 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:43:01: SOBOL, 230 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:43:05: SOBOL, 230 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:43:09: SOBOL, 230 done, completed/pending 1/1∑2 (5%/20), new result: 0.25263157894736843
2025-05-28 12:43:19: SOBOL, 231 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:44:00: SOBOL, 231 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:44:03: SOBOL, 231 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 41.53525757789612 s/job
2025-05-28 12:44:07: SOBOL, 231 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:44:10: SOBOL, 231 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:44:14: SOBOL, 231 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:44:17: SOBOL, 231 done, completed/unknown 1/1∑2 (5%/20), new result: 0.37368421052631584
2025-05-28 12:44:29: SOBOL, 232 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:45:12: SOBOL, 232 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:45:15: SOBOL, 232 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 43.21955728530884 s/job
2025-05-28 12:45:18: SOBOL, 232 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:45:21: SOBOL, 232 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:45:26: SOBOL, 232 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:45:30: SOBOL, 232 done, completed/pending 1/1∑2 (5%/20), new result: 0.2684210526315789
2025-05-28 12:45:42: SOBOL, 233 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:46:24: SOBOL, 233 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:46:27: SOBOL, 233 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 42.54861617088318 s/job
2025-05-28 12:46:30: SOBOL, 233 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:46:33: SOBOL, 233 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:46:37: SOBOL, 233 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:46:41: SOBOL, 233 done, completed/pending 1/1∑2 (5%/20), new result: 0.3526315789473684
2025-05-28 12:46:53: SOBOL, 234 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:47:29: SOBOL, 234 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:47:33: SOBOL, 234 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 36.92988395690918 s/job
2025-05-28 12:47:36: SOBOL, 234 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:47:39: SOBOL, 234 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:47:43: SOBOL, 234 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:47:46: SOBOL, 234 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:47:57: SOBOL, 235 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:48:37: SOBOL, 235 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:48:41: SOBOL, 235 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 40.7511248588562 s/job
2025-05-28 12:48:44: SOBOL, 235 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:48:47: SOBOL, 235 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:48:51: SOBOL, 235 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:48:54: SOBOL, 235 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:49:06: SOBOL, 236 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:49:51: SOBOL, 236 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:49:54: SOBOL, 236 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 45.495394706726074 s/job
2025-05-28 12:49:58: SOBOL, 236 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:50:01: SOBOL, 236 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:50:06: SOBOL, 236 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:50:10: SOBOL, 236 done, completed/pending 1/1∑2 (5%/20), new result: 0.24736842105263157
2025-05-28 12:50:21: SOBOL, 237 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:51:03: SOBOL, 237 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:51:07: SOBOL, 237 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 42.439234018325806 s/job
2025-05-28 12:51:10: SOBOL, 237 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:51:13: SOBOL, 237 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:51:17: SOBOL, 237 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:51:20: SOBOL, 237 done, completed/pending 1/1∑2 (5%/20), new result: 0.368421052631579
2025-05-28 12:51:33: SOBOL, 238 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:52:15: SOBOL, 238 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:52:18: SOBOL, 238 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 42.45054745674133 s/job
2025-05-28 12:52:22: SOBOL, 238 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:52:25: SOBOL, 238 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:52:30: SOBOL, 238 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:52:33: SOBOL, 238 done, completed/pending 1/1∑2 (5%/20), new result: 0.33684210526315794
2025-05-28 12:52:45: SOBOL, 239 done, pending 1∑1 (5%/20), finishing jobs, finished 1 job
2025-05-28 12:52:51: SOBOL, 239 done, pending 1∑1 (5%/20), waiting for 1 job
2025-05-28 12:53:00: SOBOL, 239 done, running 1∑1 (5%/20), waiting for 1 job
2025-05-28 12:53:09: SOBOL, 239 done, running 1∑1 (5%/20), waiting for 1 job
2025-05-28 12:53:18: SOBOL, 239 done, running 1∑1 (0%/20), waiting for 1 job
2025-05-28 12:53:27: SOBOL, 239 done, running 1∑1 (0%/20), new result: 0.23684210526315785
2025-05-28 12:53:39: SOBOL, 240 done, waiting for 1 job, finished 1 job
2025-05-28 12:54:30: SOBOL, 240 done, getting new HP set
2025-05-28 12:54:33: SOBOL, 240 done, requested 1 jobs, got 1, 48.657665967941284 s/job
2025-05-28 12:54:36: SOBOL, 240 done, eval #1/1 start
2025-05-28 12:54:39: SOBOL, 240 done, starting new job
2025-05-28 12:54:43: SOBOL, 240 done, unknown 1∑1 (5%/20), started new job
2025-05-28 12:55:25: SOBOL, 240 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:55:28: SOBOL, 240 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 38.647545337677 s/job
2025-05-28 12:55:31: SOBOL, 240 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:55:35: SOBOL, 240 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:55:39: SOBOL, 240 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:55:42: SOBOL, 240 done, completed/unknown 1/1∑2 (5%/20), new result: 0.19999999999999996
2025-05-28 12:55:56: SOBOL, 241 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:56:39: SOBOL, 241 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:56:43: SOBOL, 241 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 42.44806933403015 s/job
2025-05-28 12:56:46: SOBOL, 241 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:56:51: SOBOL, 241 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:56:56: SOBOL, 241 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:57:01: SOBOL, 241 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 12:57:15: SOBOL, 242 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:57:58: SOBOL, 242 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:58:03: SOBOL, 242 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 43.21167802810669 s/job
2025-05-28 12:58:07: SOBOL, 242 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:58:11: SOBOL, 242 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:58:16: SOBOL, 242 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:58:20: SOBOL, 242 done, completed/pending 1/1∑2 (5%/20), new result: 0.35789473684210527
2025-05-28 12:58:33: SOBOL, 243 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 12:59:21: SOBOL, 243 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 12:59:24: SOBOL, 243 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 48.60695767402649 s/job
2025-05-28 12:59:28: SOBOL, 243 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 12:59:31: SOBOL, 243 done, completed 1∑1 (0%/20), starting new job
2025-05-28 12:59:35: SOBOL, 243 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 12:59:39: SOBOL, 243 done, completed/pending 1/1∑2 (5%/20), new result: 0.26315789473684215
2025-05-28 12:59:51: SOBOL, 244 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:00:35: SOBOL, 244 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:00:39: SOBOL, 244 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 45.22034692764282 s/job
2025-05-28 13:00:42: SOBOL, 244 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:00:46: SOBOL, 244 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:00:52: SOBOL, 244 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:00:56: SOBOL, 244 done, completed/running 1/1∑2 (5%/20), new result: 0.20526315789473681
2025-05-28 13:01:10: SOBOL, 245 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:01:57: SOBOL, 245 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:02:00: SOBOL, 245 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 46.970099210739136 s/job
2025-05-28 13:02:03: SOBOL, 245 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:02:06: SOBOL, 245 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:02:11: SOBOL, 245 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:02:15: SOBOL, 245 done, completed/pending 1/1∑2 (5%/20), new result: 0.33684210526315794
2025-05-28 13:02:29: SOBOL, 246 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:03:20: SOBOL, 246 done, running 1∑1 (5%/20), getting new HP set
2025-05-28 13:03:26: SOBOL, 246 done, running 1∑1 (5%/20), requested 1 jobs, got 1, 49.929914474487305 s/job
2025-05-28 13:03:36: SOBOL, 246 done, running 1∑1 (5%/20), eval #1/1 start
2025-05-28 13:03:42: SOBOL, 246 done, running 1∑1 (5%/20), starting new job
2025-05-28 13:03:51: SOBOL, 246 done, running/unknown 1/1∑2 (10%/20), started new job
2025-05-28 13:04:45: SOBOL, 246 done, running 2∑2 (10%/20), getting new HP set
2025-05-28 13:04:51: SOBOL, 246 done, running 2∑2 (10%/20), requested 1 jobs, got 1, 51.033891439437866 s/job
2025-05-28 13:04:54: SOBOL, 246 done, running 2∑2 (10%/20), eval #1/1 start
2025-05-28 13:05:01: SOBOL, 246 done, running 2∑2 (10%/20), starting new job
2025-05-28 13:05:11: SOBOL, 246 done, running/unknown 2/1∑3 (15%/20), started new job
2025-05-28 13:06:06: SOBOL, 246 done, running 3∑3 (15%/20), getting new HP set
2025-05-28 13:06:10: SOBOL, 246 done, running 3∑3 (15%/20), requested 1 jobs, got 1, 45.261934995651245 s/job
2025-05-28 13:06:16: SOBOL, 246 done, running 3∑3 (15%/20), eval #1/1 start
2025-05-28 13:06:21: SOBOL, 246 done, running 3∑3 (15%/20), starting new job
2025-05-28 13:06:43: SOBOL, 246 done, running/unknown 3/1∑4 (20%/20), started new job
2025-05-28 13:07:43: SOBOL, 246 done, running 4∑4 (20%/20), getting new HP set
2025-05-28 13:07:52: SOBOL, 246 done, running 4∑4 (20%/20), requested 1 jobs, got 1, 52.54815673828125 s/job
2025-05-28 13:07:56: SOBOL, 246 done, running 4∑4 (20%/20), eval #1/1 start
2025-05-28 13:08:04: SOBOL, 246 done, running 4∑4 (20%/20), starting new job
2025-05-28 13:08:13: SOBOL, 246 done, running/unknown 4/1∑5 (25%/20), started new job
2025-05-28 13:09:09: SOBOL, 246 done, running 5∑5 (25%/20), getting new HP set
2025-05-28 13:09:15: SOBOL, 246 done, running 5∑5 (25%/20), requested 1 jobs, got 1, 50.18876123428345 s/job
2025-05-28 13:09:20: SOBOL, 246 done, running 5∑5 (25%/20), eval #1/1 start
2025-05-28 13:09:27: SOBOL, 246 done, running 5∑5 (25%/20), starting new job
2025-05-28 13:09:37: SOBOL, 246 done, running/unknown 5/1∑6 (30%/20), started new job
2025-05-28 13:10:42: SOBOL, 246 done, running 6∑6 (30%/20), getting new HP set
2025-05-28 13:11:07: SOBOL, 246 done, running 6∑6 (30%/20), requested 1 jobs, got 1, 75.51356863975525 s/job
2025-05-28 13:11:15: SOBOL, 246 done, running 6∑6 (30%/20), eval #1/1 start
2025-05-28 13:11:20: SOBOL, 246 done, running 6∑6 (30%/20), starting new job
2025-05-28 13:11:28: SOBOL, 246 done, running/unknown 6/1∑7 (35%/20), started new job
2025-05-28 13:12:18: SOBOL, 246 done, running 7∑7 (35%/20), getting new HP set
2025-05-28 13:12:26: SOBOL, 246 done, running 7∑7 (35%/20), requested 1 jobs, got 1, 47.415083169937134 s/job
2025-05-28 13:12:32: SOBOL, 246 done, running 7∑7 (35%/20), eval #1/1 start
2025-05-28 13:12:45: SOBOL, 246 done, running 7∑7 (35%/20), starting new job
2025-05-28 13:12:53: SOBOL, 246 done, running/unknown 7/1∑8 (40%/20), started new job
2025-05-28 13:13:53: SOBOL, 246 done, running 8∑8 (40%/20), getting new HP set
2025-05-28 13:14:16: SOBOL, 246 done, running 8∑8 (40%/20), requested 1 jobs, got 1, 65.62155079841614 s/job
2025-05-28 13:14:35: SOBOL, 246 done, running 8∑8 (40%/20), eval #1/1 start
2025-05-28 13:14:56: SOBOL, 246 done, running 8∑8 (40%/20), starting new job
2025-05-28 13:15:09: SOBOL, 246 done, running/pending 8/1∑9 (45%/20), started new job
2025-05-28 13:16:09: SOBOL, 246 done, running 9∑9 (45%/20), getting new HP set
2025-05-28 13:16:38: SOBOL, 246 done, running 9∑9 (45%/20), requested 1 jobs, got 1, 78.25838875770569 s/job
2025-05-28 13:16:46: SOBOL, 246 done, running 9∑9 (45%/20), eval #1/1 start
2025-05-28 13:16:51: SOBOL, 246 done, running 9∑9 (45%/20), starting new job
2025-05-28 13:17:02: SOBOL, 246 done, running/unknown 9/1∑10 (50%/20), started new job
2025-05-28 13:17:59: SOBOL, 246 done, running 10∑10 (50%/20), getting new HP set
2025-05-28 13:18:10: SOBOL, 246 done, running 10∑10 (50%/20), requested 1 jobs, got 1, 52.721909046173096 s/job
2025-05-28 13:18:15: SOBOL, 246 done, running 10∑10 (50%/20), eval #1/1 start
2025-05-28 13:18:21: SOBOL, 246 done, running 10∑10 (50%/20), starting new job
2025-05-28 13:18:28: SOBOL, 246 done, running/unknown 10/1∑11 (55%/20), started new job
2025-05-28 13:19:34: SOBOL, 246 done, running 11∑11 (55%/20), getting new HP set
2025-05-28 13:19:42: SOBOL, 246 done, running 11∑11 (55%/20), requested 1 jobs, got 1, 60.92489433288574 s/job
2025-05-28 13:19:48: SOBOL, 246 done, running 11∑11 (55%/20), eval #1/1 start
2025-05-28 13:19:54: SOBOL, 246 done, running 11∑11 (55%/20), starting new job
2025-05-28 13:20:01: SOBOL, 246 done, running/unknown 11/1∑12 (60%/20), started new job
2025-05-28 13:21:25: SOBOL, 246 done, running 12∑12 (60%/20), getting new HP set
2025-05-28 13:21:40: SOBOL, 246 done, running 12∑12 (60%/20), requested 1 jobs, got 1, 83.5436806678772 s/job
2025-05-28 13:21:47: SOBOL, 246 done, running 12∑12 (60%/20), eval #1/1 start
2025-05-28 13:21:51: SOBOL, 246 done, running 12∑12 (60%/20), starting new job
2025-05-28 13:21:58: SOBOL, 246 done, running/unknown 12/1∑13 (65%/20), started new job
2025-05-28 13:23:02: SOBOL, 246 done, completed 13∑13 (0%/20), getting new HP set
2025-05-28 13:23:07: SOBOL, 246 done, completed 13∑13 (0%/20), requested 1 jobs, got 1, 51.650309562683105 s/job
2025-05-28 13:23:11: SOBOL, 246 done, completed 13∑13 (0%/20), eval #1/1 start
2025-05-28 13:23:15: SOBOL, 246 done, completed 13∑13 (0%/20), starting new job
2025-05-28 13:23:20: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), started new job
2025-05-28 13:23:26: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.2894736842105263
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.31052631578947365
2025-05-28 13:23:26: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.3526315789473684
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.3631578947368421
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.2947368421052632
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.31052631578947365
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.3315789473684211
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.3631578947368421
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.2947368421052632
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.2894736842105263
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.3631578947368421
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.3631578947368421
2025-05-28 13:23:27: SOBOL, 246 done, completed/unknown 13/1∑14 (5%/20), new result: 0.3631578947368421
2025-05-28 13:25:06: SOBOL, 259 done, completed 1∑1 (0%/20), finishing jobs, finished 13 jobs
2025-05-28 13:25:11: SOBOL, 259 done, completed 1∑1 (0%/20), new result: 0.3631578947368421
2025-05-28 13:25:25: SOBOL, 260 done, finishing previous jobs (1), finished 1 job
2025-05-28 13:26:26: SOBOL, 260 done, getting new HP set
2025-05-28 13:26:30: SOBOL, 260 done, requested 1 jobs, got 1, 56.970712661743164 s/job
2025-05-28 13:26:33: SOBOL, 260 done, eval #1/1 start
2025-05-28 13:26:37: SOBOL, 260 done, starting new job
2025-05-28 13:26:42: SOBOL, 260 done, unknown 1∑1 (5%/20), started new job
2025-05-28 13:27:42: SOBOL, 260 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:27:47: SOBOL, 260 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 56.88521695137024 s/job
2025-05-28 13:27:51: SOBOL, 260 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:27:55: SOBOL, 260 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:28:00: SOBOL, 260 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:28:05: SOBOL, 260 done, completed/pending 1/1∑2 (5%/20), new result: 0.23684210526315785
2025-05-28 13:28:20: SOBOL, 261 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:29:20: SOBOL, 261 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:29:25: SOBOL, 261 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 60.51968836784363 s/job
2025-05-28 13:29:29: SOBOL, 261 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:29:35: SOBOL, 261 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:29:40: SOBOL, 261 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:29:45: SOBOL, 261 done, completed/pending 1/1∑2 (5%/20), new result: 0.35789473684210527
2025-05-28 13:30:05: SOBOL, 262 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:31:06: SOBOL, 262 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:31:10: SOBOL, 262 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 58.94479584693909 s/job
2025-05-28 13:31:14: SOBOL, 262 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:31:18: SOBOL, 262 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:31:23: SOBOL, 262 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:31:28: SOBOL, 262 done, completed/pending 1/1∑2 (5%/20), new result: 0.22631578947368425
2025-05-28 13:31:44: SOBOL, 263 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:32:39: SOBOL, 263 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:32:43: SOBOL, 263 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 55.47754526138306 s/job
2025-05-28 13:32:47: SOBOL, 263 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:32:51: SOBOL, 263 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:32:56: SOBOL, 263 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:33:00: SOBOL, 263 done, completed/running 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 13:33:16: SOBOL, 264 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:34:06: SOBOL, 264 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:34:10: SOBOL, 264 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 50.07391142845154 s/job
2025-05-28 13:34:16: SOBOL, 264 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:34:19: SOBOL, 264 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:34:24: SOBOL, 264 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:34:29: SOBOL, 264 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 13:34:58: SOBOL, 265 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:35:57: SOBOL, 265 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:36:02: SOBOL, 265 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 59.37593936920166 s/job
2025-05-28 13:36:07: SOBOL, 265 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:36:11: SOBOL, 265 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:36:16: SOBOL, 265 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:36:20: SOBOL, 265 done, completed/pending 1/1∑2 (5%/20), new result: 0.3263157894736842
2025-05-28 13:36:36: SOBOL, 266 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:37:35: SOBOL, 266 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:37:40: SOBOL, 266 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 58.94139003753662 s/job
2025-05-28 13:37:43: SOBOL, 266 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:37:48: SOBOL, 266 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:37:53: SOBOL, 266 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:37:58: SOBOL, 266 done, completed/unknown 1/1∑2 (5%/20), new result: 0.24736842105263157
2025-05-28 13:38:15: SOBOL, 267 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:39:14: SOBOL, 267 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:39:19: SOBOL, 267 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 60.368507862091064 s/job
2025-05-28 13:39:23: SOBOL, 267 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:39:27: SOBOL, 267 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:39:34: SOBOL, 267 done, completed/pending 1/1∑2 (5%/20), started new job
2025-05-28 13:39:39: SOBOL, 267 done, completed/pending 1/1∑2 (5%/20), new result: 0.2315789473684211
2025-05-28 13:39:54: SOBOL, 268 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:40:53: SOBOL, 268 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:40:58: SOBOL, 268 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 59.7600793838501 s/job
2025-05-28 13:41:02: SOBOL, 268 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:41:07: SOBOL, 268 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:41:13: SOBOL, 268 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:41:17: SOBOL, 268 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 13:41:34: SOBOL, 269 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:42:36: SOBOL, 269 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:42:41: SOBOL, 269 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 62.162471771240234 s/job
2025-05-28 13:42:46: SOBOL, 269 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:42:51: SOBOL, 269 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:42:57: SOBOL, 269 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:43:02: SOBOL, 269 done, completed/running 1/1∑2 (5%/20), new result: 0.3157894736842105
2025-05-28 13:43:20: SOBOL, 270 done, running 1∑1 (0%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:44:29: SOBOL, 270 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:44:33: SOBOL, 270 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 68.22819471359253 s/job
2025-05-28 13:44:41: SOBOL, 270 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:44:49: SOBOL, 270 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:44:57: SOBOL, 270 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:45:01: SOBOL, 270 done, completed/pending 1/1∑2 (5%/20), new result: 0.2789473684210526
2025-05-28 13:45:18: SOBOL, 271 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:46:21: SOBOL, 271 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:46:26: SOBOL, 271 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 62.449434757232666 s/job
2025-05-28 13:46:30: SOBOL, 271 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:46:35: SOBOL, 271 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:46:41: SOBOL, 271 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:46:46: SOBOL, 271 done, completed/pending 1/1∑2 (5%/20), new result: 0.2421052631578947
2025-05-28 13:47:02: SOBOL, 272 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:48:03: SOBOL, 272 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:48:08: SOBOL, 272 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 61.649991035461426 s/job
2025-05-28 13:48:12: SOBOL, 272 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:48:16: SOBOL, 272 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:48:22: SOBOL, 272 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:48:27: SOBOL, 272 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 13:48:43: SOBOL, 273 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:49:42: SOBOL, 273 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:49:47: SOBOL, 273 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 59.759602785110474 s/job
2025-05-28 13:49:51: SOBOL, 273 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:49:55: SOBOL, 273 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:50:02: SOBOL, 273 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:50:06: SOBOL, 273 done, completed/running 1/1∑2 (5%/20), new result: 0.23684210526315785
2025-05-28 13:50:22: SOBOL, 274 done, running 1∑1 (0%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:51:23: SOBOL, 274 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:51:28: SOBOL, 274 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 61.27483081817627 s/job
2025-05-28 13:51:33: SOBOL, 274 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:51:37: SOBOL, 274 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:51:43: SOBOL, 274 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:51:48: SOBOL, 274 done, completed/pending 1/1∑2 (5%/20), new result: 0.35789473684210527
2025-05-28 13:52:04: SOBOL, 275 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:53:13: SOBOL, 275 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:53:19: SOBOL, 275 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 70.06439900398254 s/job
2025-05-28 13:53:23: SOBOL, 275 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:53:27: SOBOL, 275 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:53:33: SOBOL, 275 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:53:38: SOBOL, 275 done, completed/running 1/1∑2 (5%/20), new result: 0.22631578947368425
2025-05-28 13:54:06: SOBOL, 276 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:55:09: SOBOL, 276 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:55:14: SOBOL, 276 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 62.71781945228577 s/job
2025-05-28 13:55:19: SOBOL, 276 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:55:24: SOBOL, 276 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:55:29: SOBOL, 276 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:55:34: SOBOL, 276 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 13:55:50: SOBOL, 277 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:56:49: SOBOL, 277 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:56:54: SOBOL, 277 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 60.0654718875885 s/job
2025-05-28 13:57:00: SOBOL, 277 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:57:04: SOBOL, 277 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:57:10: SOBOL, 277 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:57:14: SOBOL, 277 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 13:57:30: SOBOL, 278 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 13:58:33: SOBOL, 278 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 13:58:38: SOBOL, 278 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 64.26250648498535 s/job
2025-05-28 13:58:43: SOBOL, 278 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 13:58:48: SOBOL, 278 done, completed 1∑1 (0%/20), starting new job
2025-05-28 13:58:54: SOBOL, 278 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 13:58:58: SOBOL, 278 done, completed/pending 1/1∑2 (5%/20), new result: 0.2578947368421053
2025-05-28 13:59:16: SOBOL, 279 done, running 1∑1 (5%/20), finishing jobs, finished 1 job
2025-05-28 13:59:21: SOBOL, 279 done, running 1∑1 (0%/20), new result: 0.3631578947368421
2025-05-28 13:59:39: SOBOL, 280 done, finishing previous jobs (1), finished 1 job
2025-05-28 14:00:54: SOBOL, 280 done, getting new HP set
2025-05-28 14:01:00: SOBOL, 280 done, requested 1 jobs, got 1, 72.29571104049683 s/job
2025-05-28 14:01:04: SOBOL, 280 done, eval #1/1 start
2025-05-28 14:01:08: SOBOL, 280 done, starting new job
2025-05-28 14:01:14: SOBOL, 280 done, unknown 1∑1 (5%/20), started new job
2025-05-28 14:02:04: SOBOL, 280 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:02:09: SOBOL, 280 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 45.59640145301819 s/job
2025-05-28 14:02:14: SOBOL, 280 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:02:18: SOBOL, 280 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:02:24: SOBOL, 280 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:02:28: SOBOL, 280 done, completed/pending 1/1∑2 (5%/20), new result: 0.3263157894736842
2025-05-28 14:02:45: SOBOL, 281 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:03:48: SOBOL, 281 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:03:52: SOBOL, 281 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 62.83595657348633 s/job
2025-05-28 14:03:57: SOBOL, 281 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:04:02: SOBOL, 281 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:04:07: SOBOL, 281 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:04:12: SOBOL, 281 done, completed/unknown 1/1∑2 (5%/20), new result: 0.2210526315789474
2025-05-28 14:04:29: SOBOL, 282 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:05:31: SOBOL, 282 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:05:36: SOBOL, 282 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 61.88268566131592 s/job
2025-05-28 14:05:40: SOBOL, 282 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:05:45: SOBOL, 282 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:05:50: SOBOL, 282 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:05:55: SOBOL, 282 done, completed/pending 1/1∑2 (5%/20), new result: 0.2947368421052632
2025-05-28 14:06:12: SOBOL, 283 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:07:14: SOBOL, 283 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:07:20: SOBOL, 283 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 63.30832505226135 s/job
2025-05-28 14:07:24: SOBOL, 283 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:07:29: SOBOL, 283 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:07:34: SOBOL, 283 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:07:40: SOBOL, 283 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:07:58: SOBOL, 284 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:09:04: SOBOL, 284 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:09:11: SOBOL, 284 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 67.94912648200989 s/job
2025-05-28 14:09:15: SOBOL, 284 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:09:20: SOBOL, 284 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:09:26: SOBOL, 284 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:09:31: SOBOL, 284 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:09:47: SOBOL, 285 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:10:51: SOBOL, 285 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:10:56: SOBOL, 285 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 63.830278635025024 s/job
2025-05-28 14:11:00: SOBOL, 285 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:11:05: SOBOL, 285 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:11:11: SOBOL, 285 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:11:17: SOBOL, 285 done, completed/running 1/1∑2 (5%/20), new result: 0.25263157894736843
2025-05-28 14:11:36: SOBOL, 286 done, completed 1∑1 (0%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:12:44: SOBOL, 286 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:12:51: SOBOL, 286 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 70.27851390838623 s/job
2025-05-28 14:12:57: SOBOL, 286 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:13:02: SOBOL, 286 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:13:08: SOBOL, 286 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:13:13: SOBOL, 286 done, completed/pending 1/1∑2 (5%/20), new result: 0.24736842105263157
2025-05-28 14:13:32: SOBOL, 287 done, running 1∑1 (0%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:14:33: SOBOL, 287 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:14:38: SOBOL, 287 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 61.76199769973755 s/job
2025-05-28 14:14:42: SOBOL, 287 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:14:47: SOBOL, 287 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:14:53: SOBOL, 287 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:14:58: SOBOL, 287 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:15:16: SOBOL, 288 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:16:20: SOBOL, 288 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:16:25: SOBOL, 288 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 64.34508037567139 s/job
2025-05-28 14:16:29: SOBOL, 288 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:16:34: SOBOL, 288 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:16:40: SOBOL, 288 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:16:45: SOBOL, 288 done, completed/pending 1/1∑2 (5%/20), new result: 0.2894736842105263
2025-05-28 14:17:03: SOBOL, 289 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:18:08: SOBOL, 289 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:18:12: SOBOL, 289 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 64.49333262443542 s/job
2025-05-28 14:18:17: SOBOL, 289 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:18:22: SOBOL, 289 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:18:28: SOBOL, 289 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:18:33: SOBOL, 289 done, completed/pending 1/1∑2 (5%/20), new result: 0.4526315789473684
2025-05-28 14:18:49: SOBOL, 290 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:19:53: SOBOL, 290 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:19:58: SOBOL, 290 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 63.08820343017578 s/job
2025-05-28 14:20:03: SOBOL, 290 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:20:08: SOBOL, 290 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:20:14: SOBOL, 290 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:20:19: SOBOL, 290 done, completed/pending 1/1∑2 (5%/20), new result: 0.28421052631578947
2025-05-28 14:20:37: SOBOL, 291 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:21:43: SOBOL, 291 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:21:48: SOBOL, 291 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 66.81537246704102 s/job
2025-05-28 14:21:53: SOBOL, 291 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:21:57: SOBOL, 291 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:22:03: SOBOL, 291 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:22:08: SOBOL, 291 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:22:26: SOBOL, 292 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:23:40: SOBOL, 292 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:23:45: SOBOL, 292 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 73.72543716430664 s/job
2025-05-28 14:23:49: SOBOL, 292 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:23:55: SOBOL, 292 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:24:02: SOBOL, 292 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:24:11: SOBOL, 292 done, completed/pending 1/1∑2 (5%/20), new result: 0.3526315789473684
2025-05-28 14:24:34: SOBOL, 293 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:25:38: SOBOL, 293 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:25:44: SOBOL, 293 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 65.26037645339966 s/job
2025-05-28 14:25:49: SOBOL, 293 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:25:54: SOBOL, 293 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:26:00: SOBOL, 293 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:26:06: SOBOL, 293 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:26:24: SOBOL, 294 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:27:25: SOBOL, 294 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:27:31: SOBOL, 294 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 61.85943603515625 s/job
2025-05-28 14:27:38: SOBOL, 294 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:27:43: SOBOL, 294 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:27:49: SOBOL, 294 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:27:54: SOBOL, 294 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:28:12: SOBOL, 295 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:29:26: SOBOL, 295 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:29:31: SOBOL, 295 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 74.25716662406921 s/job
2025-05-28 14:29:36: SOBOL, 295 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:29:42: SOBOL, 295 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:29:49: SOBOL, 295 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:29:56: SOBOL, 295 done, completed/pending 1/1∑2 (5%/20), new result: 0.35789473684210527
2025-05-28 14:30:14: SOBOL, 296 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:31:28: SOBOL, 296 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:31:33: SOBOL, 296 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 73.67782044410706 s/job
2025-05-28 14:31:38: SOBOL, 296 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:31:43: SOBOL, 296 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:31:49: SOBOL, 296 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:31:55: SOBOL, 296 done, completed/pending 1/1∑2 (5%/20), new result: 0.21578947368421053
2025-05-28 14:32:13: SOBOL, 297 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:33:34: SOBOL, 297 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:33:39: SOBOL, 297 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 80.7963457107544 s/job
2025-05-28 14:33:44: SOBOL, 297 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:33:49: SOBOL, 297 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:33:55: SOBOL, 297 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:34:00: SOBOL, 297 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:34:19: SOBOL, 298 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:35:23: SOBOL, 298 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:35:28: SOBOL, 298 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 64.33712100982666 s/job
2025-05-28 14:35:33: SOBOL, 298 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:35:38: SOBOL, 298 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:35:44: SOBOL, 298 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:35:50: SOBOL, 298 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:36:10: SOBOL, 299 done, pending 1∑1 (5%/20), finishing jobs, finished 1 job
2025-05-28 14:36:17: SOBOL, 299 done, pending 1∑1 (5%/20), waiting for 1 job
2025-05-28 14:36:28: SOBOL, 299 done, completed 1∑1 (0%/20), new result: 0.3631578947368421
2025-05-28 14:36:49: SOBOL, 300 done, waiting for 1 job, finished 1 job
2025-05-28 14:38:02: SOBOL, 300 done, getting new HP set
2025-05-28 14:38:07: SOBOL, 300 done, requested 1 jobs, got 1, 71.19491219520569 s/job
2025-05-28 14:38:12: SOBOL, 300 done, eval #1/1 start
2025-05-28 14:38:17: SOBOL, 300 done, starting new job
2025-05-28 14:38:23: SOBOL, 300 done, unknown 1∑1 (5%/20), started new job
2025-05-28 14:39:39: SOBOL, 300 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:39:45: SOBOL, 300 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 71.44089126586914 s/job
2025-05-28 14:39:50: SOBOL, 300 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:39:56: SOBOL, 300 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:40:02: SOBOL, 300 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:40:07: SOBOL, 300 done, completed/pending 1/1∑2 (5%/20), new result: 0.33684210526315794
2025-05-28 14:40:27: SOBOL, 301 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:41:42: SOBOL, 301 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:41:47: SOBOL, 301 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 75.14588284492493 s/job
2025-05-28 14:41:52: SOBOL, 301 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:41:58: SOBOL, 301 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:42:04: SOBOL, 301 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:42:10: SOBOL, 301 done, completed/pending 1/1∑2 (5%/20), new result: 0.30000000000000004
2025-05-28 14:42:29: SOBOL, 302 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:43:45: SOBOL, 302 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:43:51: SOBOL, 302 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 76.96731305122375 s/job
2025-05-28 14:43:57: SOBOL, 302 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:44:02: SOBOL, 302 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:44:08: SOBOL, 302 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:44:13: SOBOL, 302 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:44:35: SOBOL, 303 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:45:48: SOBOL, 303 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:45:54: SOBOL, 303 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 73.22678589820862 s/job
2025-05-28 14:45:58: SOBOL, 303 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:46:04: SOBOL, 303 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:46:10: SOBOL, 303 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:46:15: SOBOL, 303 done, completed/pending 1/1∑2 (5%/20), new result: 0.2789473684210526
2025-05-28 14:46:34: SOBOL, 304 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:47:51: SOBOL, 304 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:47:57: SOBOL, 304 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 77.22900462150574 s/job
2025-05-28 14:48:02: SOBOL, 304 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:48:07: SOBOL, 304 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:48:14: SOBOL, 304 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:48:20: SOBOL, 304 done, completed/pending 1/1∑2 (5%/20), new result: 0.2789473684210526
2025-05-28 14:48:40: SOBOL, 305 done, running 1∑1 (0%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:49:57: SOBOL, 305 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:50:04: SOBOL, 305 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 78.92718648910522 s/job
2025-05-28 14:50:09: SOBOL, 305 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:50:15: SOBOL, 305 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:50:21: SOBOL, 305 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:50:27: SOBOL, 305 done, completed/running 1/1∑2 (5%/20), new result: 0.27368421052631575
2025-05-28 14:50:49: SOBOL, 306 done, running 1∑1 (0%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:52:05: SOBOL, 306 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:52:10: SOBOL, 306 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 76.55992078781128 s/job
2025-05-28 14:52:16: SOBOL, 306 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:52:21: SOBOL, 306 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:52:28: SOBOL, 306 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:52:33: SOBOL, 306 done, completed/pending 1/1∑2 (5%/20), new result: 0.33684210526315794
2025-05-28 14:52:53: SOBOL, 307 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:54:14: SOBOL, 307 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:54:20: SOBOL, 307 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 80.71741986274719 s/job
2025-05-28 14:54:25: SOBOL, 307 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:54:30: SOBOL, 307 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:54:37: SOBOL, 307 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:54:44: SOBOL, 307 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:55:05: SOBOL, 308 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:56:30: SOBOL, 308 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:56:36: SOBOL, 308 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 85.32201910018921 s/job
2025-05-28 14:56:41: SOBOL, 308 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:56:46: SOBOL, 308 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:56:53: SOBOL, 308 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:56:59: SOBOL, 308 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:57:19: SOBOL, 309 done, running 1∑1 (0%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 14:58:41: SOBOL, 309 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 14:58:47: SOBOL, 309 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 82.10618996620178 s/job
2025-05-28 14:58:52: SOBOL, 309 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 14:58:57: SOBOL, 309 done, completed 1∑1 (0%/20), starting new job
2025-05-28 14:59:04: SOBOL, 309 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 14:59:10: SOBOL, 309 done, completed/pending 1/1∑2 (5%/20), new result: 0.3631578947368421
2025-05-28 14:59:29: SOBOL, 310 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 15:00:59: SOBOL, 310 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 15:01:05: SOBOL, 310 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 90.85764908790588 s/job
2025-05-28 15:01:10: SOBOL, 310 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 15:01:15: SOBOL, 310 done, completed 1∑1 (0%/20), starting new job
2025-05-28 15:01:21: SOBOL, 310 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 15:01:27: SOBOL, 310 done, completed/pending 1/1∑2 (5%/20), new result: 0.2210526315789474
2025-05-28 15:01:47: SOBOL, 311 done, running 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 15:03:08: SOBOL, 311 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 15:03:14: SOBOL, 311 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 82.22349333763123 s/job
2025-05-28 15:03:20: SOBOL, 311 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 15:03:25: SOBOL, 311 done, completed 1∑1 (0%/20), starting new job
2025-05-28 15:03:31: SOBOL, 311 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 15:03:37: SOBOL, 311 done, completed/running 1/1∑2 (5%/20), new result: 0.20526315789473681
2025-05-28 15:04:04: SOBOL, 312 done, completed 1∑1 (0%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 15:05:22: SOBOL, 312 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 15:05:28: SOBOL, 312 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 79.39576983451843 s/job
2025-05-28 15:05:33: SOBOL, 312 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 15:05:39: SOBOL, 312 done, completed 1∑1 (0%/20), starting new job
2025-05-28 15:05:45: SOBOL, 312 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 15:05:51: SOBOL, 312 done, completed/pending 1/1∑2 (5%/20), new result: 0.31052631578947365
2025-05-28 15:06:12: SOBOL, 313 done, pending 1∑1 (5%/20), finishing jobs (_get_next_trials), finished 1 job
2025-05-28 15:07:39: SOBOL, 313 done, completed 1∑1 (0%/20), getting new HP set
2025-05-28 15:07:45: SOBOL, 313 done, completed 1∑1 (0%/20), requested 1 jobs, got 1, 87.68403911590576 s/job
2025-05-28 15:07:51: SOBOL, 313 done, completed 1∑1 (0%/20), eval #1/1 start
2025-05-28 15:07:57: SOBOL, 313 done, completed 1∑1 (0%/20), starting new job
2025-05-28 15:08:04: SOBOL, 313 done, completed/unknown 1/1∑2 (5%/20), started new job
2025-05-28 15:08:11: SOBOL, 313 done, completed/running 1/1∑2 (5%/20), new result: 0.32105263157894737
2025-05-28 15:08:35: SOBOL, 314 done, running 1∑1 (0%/20), finishing jobs (_get_next_trials), finished 1 job
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<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>None </td></tr><tr><td> run_program</td><td>None </td></tr><tr><td> experiment_name</td><td>None </td></tr><tr><td> mem_gb</td><td>5 </td></tr><tr><td> parameter</td><td>[['epochs', 'range', '30', '300', 'int'], ['lr', 'range', '0.01', '0.05', 'float'], ['bsz', 'range', '12', '32', 'int']] </td></tr><tr><td> continue_previous_job</td><td>runs/vergl_botorch_dl_ext/0 </td></tr><tr><td> experiment_constraints</td><td>None </td></tr><tr><td> run_dir</td><td>runs </td></tr><tr><td> seed</td><td>None </td></tr><tr><td> decimalrounding</td><td>4 </td></tr><tr><td> verbose_tqdm</td><td>False </td></tr><tr><td> model</td><td>None </td></tr><tr><td> gridsearch</td><td>False </td></tr><tr><td> occ</td><td>False </td></tr><tr><td> show_sixel_scatter</td><td>False </td></tr><tr><td> show_sixel_general</td><td>False </td></tr><tr><td> show_sixel_trial_index_result</td><td>False </td></tr><tr><td> follow</td><td>False </td></tr><tr><td> send_anonymized_usage_stats</td><td>False </td></tr><tr><td> ui_url</td><td>None </td></tr><tr><td> root_venv_dir</td><td>/home/pwinkler </td></tr><tr><td> exclude</td><td>None </td></tr><tr><td> main_process_gb</td><td>8 </td></tr><tr><td> max_nr_of_zero_results</td><td>10 </td></tr><tr><td> abbreviate_job_names</td><td>False </td></tr><tr><td> orchestrator_file</td><td>None </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False </td></tr><tr><td> live_share</td><td>True </td></tr><tr><td> disable_tqdm</td><td>False </td></tr><tr><td> disable_previous_job_constraint</td><td>False </td></tr><tr><td> workdir</td><td></td></tr><tr><td> occ_type</td><td>euclid </td></tr><tr><td> result_names</td><td>['RESULT=min'] </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>False </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True </td></tr><tr><td> load_data_from_existing_jobs</td><td>[] </td></tr><tr><td> n_estimators_randomforest</td><td>100 </td></tr><tr><td> max_attempts_for_generation</td><td>20 </td></tr><tr><td> external_generator</td><td>None </td></tr><tr><td> username</td><td>None </td></tr><tr><td> max_failed_jobs</td><td>None </td></tr><tr><td> num_cpus_main_job</td><td>None </td></tr><tr><td> calculate_pareto_front_of_job</td><td>[] </td></tr><tr><td> show_generate_time_table</td><td>False </td></tr><tr><td> force_choice_for_ranges</td><td>False </td></tr><tr><td> dont_warm_start_refitting</td><td>False </td></tr><tr><td> refit_on_cv</td><td>False </td></tr><tr><td> fit_out_of_design</td><td>False </td></tr><tr><td> fit_abandoned</td><td>False </td></tr><tr><td> dont_jit_compile</td><td>False </td></tr><tr><td> num_restarts</td><td>20 </td></tr><tr><td> raw_samples</td><td>1024 </td></tr><tr><td> no_transform_inputs</td><td>False </td></tr><tr><td> no_normalize_y</td><td>False </td></tr><tr><td> batch_limit</td><td>32 </td></tr><tr><td> num_parallel_jobs</td><td>20 </td></tr><tr><td> worker_timeout</td><td>30 </td></tr><tr><td> slurm_use_srun</td><td>False </td></tr><tr><td> time</td><td>180 </td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None </td></tr><tr><td> force_local_execution</td><td>False </td></tr><tr><td> slurm_signal_delay_s</td><td>0 </td></tr><tr><td> nodes_per_job</td><td>1 </td></tr><tr><td> cpus_per_task</td><td>1 </td></tr><tr><td> account</td><td>None </td></tr><tr><td> gpus</td><td>0 </td></tr><tr><td> run_mode</td><td>local </td></tr><tr><td> verbose</td><td>False </td></tr><tr><td> verbose_break_run_search_table</td><td>False </td></tr><tr><td> debug</td><td>False </td></tr><tr><td> flame_graph</td><td>False </td></tr><tr><td> no_sleep</td><td>False </td></tr><tr><td> tests</td><td>False </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False </td></tr><tr><td> raise_in_eval</td><td>False </td></tr><tr><td> show_ram_every_n_seconds</td><td>0 </td></tr><tr><td> show_generation_and_submission_sixel</td><td>False </td></tr></tbody></table>
<h1> Worker-Usage</h1>
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1748436990.487586,20,0,0
1748436995.9874673,20,0,0
1748437001.1788406,20,0,0
1748437006.49581,20,0,0
1748437013.5294418,20,1,5
1748437018.9539773,20,1,5
1748437024.5401626,20,1,5
1748437039.8667574,20,0,0
1748437121.5880597,20,0,0
1748437127.1104527,20,0,0
1748437132.325245,20,0,0
1748437137.4882069,20,0,0
1748437144.6493876,20,1,5
1748437150.1151578,20,1,5
1748437155.2784104,20,1,5
1748437169.1920407,20,1,5
1748437259.0447593,20,0,0
1748437265.1898775,20,0,0
1748437270.400299,20,0,0
1748437275.4893596,20,0,0
1748437281.819032,20,1,5
1748437287.2807353,20,1,5
1748437292.4196293,20,1,5
1748437307.5262513,20,1,5
1748437388.7214663,20,0,0
1748437394.8257704,20,0,0
1748437399.925645,20,0,0
1748437405.0711997,20,0,0
1748437411.6967788,20,1,5
1748437417.423494,20,1,5
1748437423.6898375,20,1,5
1748437443.934464,20,0,0
1748437522.6842525,20,0,0
1748437528.5024014,20,0,0
1748437533.7943377,20,0,0
1748437539.0081117,20,0,0
1748437545.4403362,20,1,5
1748437551.0801272,20,1,5
1748437556.3738894,20,1,5
1748437572.3190901,20,1,5
1748437659.3093715,20,0,0
1748437665.2573514,20,0,0
1748437671.0381477,20,0,0
1748437677.445054,20,0,0
1748437684.8864107,20,1,5
1748437691.2347176,20,1,5
1748437697.9225214,20,1,5
</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
1748426926,648.37890625,10.6
1748426929,647.3671875,10.8
1748426931,647.3671875,11.2
1748426931,647.3671875,10.9
1748426931,647.3671875,11.4
1748427043,806.8125,15.4
1748427101,769.59765625,11.7
1748427101,769.59765625,15.4
1748427165,807.8203125,11.4
1748427165,807.8203125,7.7
1748427226,809.7421875,12.2
1748427226,809.7421875,21.4
1748427285,805.51953125,12.1
1748427285,805.51953125,17.6
1748427359,771.8984375,11.8
1748427359,771.8984375,12.5
1748427416,809.3671875,10.7
1748427416,809.3671875,15.4
1748427477,809.40234375,11.2
1748427477,809.40234375,20.0
1748427530,807.796875,10.8
1748427530,807.796875,14.3
1748427588,805.1015625,10.6
1748427588,805.1015625,14.3
1748427655,808.48828125,11.0
1748427655,808.48828125,20.0
1748427716,811.03125,10.7
1748427716,811.03125,15.4
1748427774,792.8203125,10.6
1748427833,817.390625,10.5
1748427833,817.390625,15.4
1748427890,787.953125,10.7
1748427890,787.953125,13.3
1748427959,788.1953125,10.5
1748427959,788.1953125,15.4
1748428017,788.453125,10.7
1748428017,788.453125,14.3
1748428084,785.359375,11.1
1748428084,785.359375,14.3
1748428147,820.13671875,10.5
1748428147,820.13671875,14.3
1748428161,820.68359375,11.1
1748428161,820.68359375,10.0
1748428161,820.68359375,14.3
1748428188,820.68359375,10.4
1748428188,820.68359375,15.4
1748428303,791.27734375,10.7
1748428303,791.27734375,14.3
1748428377,791.3984375,10.8
1748428377,791.3984375,23.5
1748428444,800.61328125,11.2
1748428444,800.61328125,14.3
1748428518,791.98046875,11.1
1748428518,791.98046875,13.3
1748428583,792.28515625,10.8
1748428583,792.28515625,14.3
1748428651,792.8203125,10.9
1748428651,792.8203125,18.8
1748428718,793.31640625,10.9
1748428718,793.31640625,20.0
1748428787,793.51953125,10.8
1748428787,793.51953125,14.3
1748428851,778.10546875,10.8
1748428925,794.26953125,10.7
1748428925,794.26953125,13.3
1748428991,818.98828125,10.7
1748429059,795.25390625,10.6
1748429133,813.00390625,10.7
1748429133,813.00390625,7.1
1748429204,795.4140625,10.5
1748429204,795.4140625,14.3
1748429269,820.91796875,10.5
1748429338,821.7109375,10.8
1748429338,821.7109375,18.8
1748429412,823.84765625,10.4
1748429484,779.99609375,10.6
1748429484,779.99609375,11.8
1748429556,826.48828125,10.5
1748429556,826.48828125,7.7
1748429570,827.00390625,10.7
1748429570,827.00390625,14.3
1748429570,827.00390625,10.6
1748429570,827.00390625,13.3
1748429610,827.00390625,10.2
1748429610,827.00390625,14.3
1748429745,805.48828125,10.7
1748429745,805.48828125,14.3
1748429825,782.77734375,10.5
1748429825,782.77734375,14.3
1748429903,782.75,10.7
1748429903,782.75,13.3
1748429982,782.78125,10.8
1748429982,782.78125,14.3
1748430060,831.46875,10.7
1748430060,831.46875,14.3
1748430138,811.59765625,10.8
1748431444,806.046875,33.3
1748431444,806.046875,9.2
1748431444,806.046875,14.9
1748431444,806.046875,33.3
1748431445,806.046875,11.2
1748431445,806.046875,37.5
1748431445,806.046875,11.5
1748431445,806.046875,28.6
1748431445,806.046875,11.1
1748431445,806.046875,37.5
1748431445,806.046875,17.9
1748431445,806.046875,10.9
1748431445,806.046875,11.5
1748431445,806.046875,11.1
1748431446,806.046875,11.6
1748431446,806.046875,20.0
1748431446,806.046875,11.2
1748431515,853.375,11.1
1748431515,853.375,20.0
1748431530,853.05078125,10.9
1748431530,853.05078125,14.3
1748431530,853.05078125,10.2
1748431689,910.31640625,11.1
1748431689,910.31640625,13.3
1748431790,884.984375,11.0
1748431790,884.984375,7.1
1748431892,886.70703125,11.4
1748431984,893.00390625,11.6
1748431984,893.00390625,23.1
1748432086,852.51171875,12.4
1748432086,852.51171875,14.3
1748432184,859.71484375,12.5
1748432281,852.68359375,12.6
1748432282,852.68359375,11.1
1748432383,852.73828125,13.5
1748432383,852.73828125,11.5
1748432481,852.7265625,12.0
1748432481,852.7265625,20.0
1748432587,852.8671875,12.0
1748432587,852.8671875,20.0
1748432706,852.73046875,11.5
1748432811,852.89453125,11.6
1748432811,852.89453125,13.3
1748432911,852.88671875,11.0
1748432911,852.88671875,20.0
1748433011,852.8359375,11.1
1748433011,852.8359375,14.3
1748433112,852.93359375,11.0
1748433112,852.93359375,14.3
1748433225,905.03515625,10.9
1748433225,905.03515625,14.3
1748433338,853.11328125,10.9
1748433338,853.11328125,20.0
1748433438,853.08984375,11.0
1748433543,853.12890625,11.1
1748433543,853.12890625,25.0
1748433565,853.14453125,10.9
1748433565,853.14453125,14.3
1748433585,853.43359375,11.6
1748433585,853.43359375,14.3
1748433585,853.43359375,10.7
1748433585,853.43359375,14.3
1748433753,853.5078125,11.0
1748433753,853.5078125,20.0
1748433856,869.48046875,11.2
1748433960,853.5078125,11.2
1748434064,853.51953125,11.0
1748434064,853.51953125,15.4
1748434175,915.37890625,11.0
1748434175,915.37890625,21.4
1748434283,853.58203125,11.1
1748434283,853.58203125,14.3
1748434398,915.78515625,10.9
1748434503,856.5,11.1
1748434503,856.5,20.0
1748434609,856.46484375,11.1
1748434717,856.5859375,11.0
1748434717,856.5859375,20.0
1748434824,906.7421875,11.1
1748434824,906.7421875,13.3
1748434933,856.609375,11.4
1748434933,856.609375,14.3
1748435058,856.59375,11.7
1748435171,856.96484375,11.7
1748435279,857.0703125,11.8
1748435279,857.0703125,14.3
1748435400,857.078125,11.9
1748435400,857.078125,20.0
1748435519,857.21875,12.0
1748435519,857.21875,14.3
1748435645,857.1328125,11.8
1748435645,857.1328125,15.4
1748435755,977.51953125,11.7
1748435777,977.51953125,11.4
1748435777,977.51953125,8.3
1748435777,977.51953125,11.0
1748435777,977.51953125,8.3
1748435794,977.51953125,11.4
1748435794,977.51953125,20.0
1748436013,884.20703125,11.7
1748436013,884.20703125,14.3
1748436135,879.7734375,11.9
1748436258,861.48046875,11.7
1748436381,861.41015625,12.1
1748436505,860.0078125,11.9
1748436505,860.0078125,14.3
1748436634,860.171875,11.9
1748436634,860.171875,18.8
1748436759,860.12109375,11.8
1748436890,857.43359375,12.0
1748437024,945.96484375,12.8
1748437024,945.96484375,20.0
1748437155,865.203125,12.6
1748437155,865.203125,14.3
1748437292,965.18359375,12.0
1748437292,965.18359375,13.3
1748437423,881.765625,11.8
1748437556,857.62890625,12.1
1748437556,857.62890625,15.4
1748437697,860.42578125,12.8
1748437697,860.42578125,15.8
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download »cpu_ram_usage.csv« as file</button>
<h1> Parallel Plot</h1>
<div class="invert_in_dark_mode" id="parallel-plot"></div>
<h1> Scatter-2D</h1>
<div class='invert_in_dark_mode' id='plotScatter2d'></div>
<h1> Scatter-3D</h1>
<div class='invert_in_dark_mode' id='plotScatter3d'></div>
<h1> Job Status Distribution</h1>
<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
<h1> Boxplots</h1>
<div class="invert_in_dark_mode" id="plotBoxplot"></div>
<h1> Violin</h1>
<div class="invert_in_dark_mode" id="plotViolin"></div>
<h1> Histogram</h1>
<div class="invert_in_dark_mode" id="plotHistogram"></div>
<h1> Heatmap</h1>
<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
<h1>Correlation Heatmap Explanation</h1>
<p>
This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
</p>
<h2>How It Works</h2>
<p>
The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
</p>
<ul>
<li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
<li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
<li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
</ul>
<h2>Color Scale: Yellow to Purple (Viridis)</h2>
<p>
The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
</p>
<ul>
<li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
<li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
<li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
<li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
</ul>
<h2>What the Heatmap Shows</h2>
<p>
In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
</p>
<h1> Result-Pairs</h1>
<div class="invert_in_dark_mode" id="plotResultPairs"></div>
<h1> Evolution</h1>
<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
</body>
</html>
Job-Infos
Main-Log
Debug-Logs
Single Logs
